Author: "A. Sugiura" / Database: OAIster - Searchworks@Jio Institute Digital Library Search Results

1,279 results on '"A. Sugiura"'

1. Scale setting and hadronic properties in light quark sector with $(2+1)$-flavor Wilson fermions at the physical point

Author: Aoyama, Tatsumi, Doi, Takahiro M., Doi, Takumi, Itou, Etsuko, Lyu, Yan, Murakami, Kotaro, Sugiura, Takuya, Aoyama, Tatsumi, Doi, Takahiro M., Doi, Takumi, Itou, Etsuko, Lyu, Yan, Murakami, Kotaro, and Sugiura, Takuya
Abstract: We report scale setting and hadronic properties for our new lattice QCD gauge configuration set (HAL-conf-2023). We employ $(2+1)$-flavor nonperturbatively improved Wilson fermions with stout smearing and the Iwasaki gauge action on a $96^4$ lattice, and generate configurations of 8,000 trajectories at the physical point. We show the basic properties of the configurations such as the plaquette value, topological charge distribution and their auto-correlation times. The scale setting is performed by detailed analyses of the $\Omega$ baryon mass. We calculate the physical results of quark masses, decay constants of pseudoscalar mesons and single hadron spectra in light quark sector. The masses of the stable hadrons are found to agree with the experimental values within a sub-percent level., Comment: 31 pages and 18 figures; v2: reference(s) added
Published: 2024

2. The Technification of Domestic Abuse: Methods, Tools, and Criminal Justice Responses

Author: Sugiura, Lisa, Button, Mark, Nurse, Jason R. C., Tapley, Jacki, Belen-Saglam, Rahime, Hawkins, Chloe, Frederick, Brian, Blackbourn, Dean, Sugiura, Lisa, Button, Mark, Nurse, Jason R. C., Tapley, Jacki, Belen-Saglam, Rahime, Hawkins, Chloe, Frederick, Brian, and Blackbourn, Dean
Abstract: Methods of domestic abuse are progressively incorporating computer misuse and other related online offences, and digital tools, escalating opportunities for perpetrators to monitor, threaten and humiliate their victims. Drawing on empirical research involving media case study analysis, a technology review, and interviews undertaken with 21 professionals and service providers supporting domestic abuse victims, this article outlines the context in England and Wales regarding the methods, tools and criminal justice responses involved in what we conceptualise as the technification of domestic abuse. As technology continues to deeply intertwine with our daily lives, it is undeniable that its involvement within domestic abuse encompasses harmful behaviours that pose an increasing risk of harm, and unless effective criminal justice interventions are implemented, this risk will inevitably grow even further.
Published: 2024

3. Experimental and numerical evaluation of effects of kidney-shape carbon fiber on transverse cracking of carbon fiber reinforced plastics

Author: Kitagawa, Youzou, Yoshimura, Akinori, Arai, Masahiro, Goto, Keita, Sugiura, Naoki, Kitagawa, Youzou, Yoshimura, Akinori, Arai, Masahiro, Goto, Keita, and Sugiura, Naoki
Abstract: This study aims to investigate the effects of fiber cross-sectional shape on the trans- verse crack extension of carbon fiber reinforced plastics (CFRP) both experimentally and numerically. Kidney-shape carbon fiber was compared with the laminates using conventional round-shape carbon fiber by monitoring the transverse crack accumu- lation behavior during static tensile tests. The experimental results showed that kidney-shape carbon fibers retard the initiation of transverse cracks and suppress their accumulation. Moreover, a micromechanical simulation based on finite ele- ment method was performed to consider the effects of fiber cross-sectional shape on crack propagation. In the case of the major damage process of the two kinds of CFRPs to be different in the simulations, the numerical results agreed well with the experimental ones. It was experimentally and numerically demonstrated that the kidney-shape carbon fiber suppresses the transverse crack accumulation and retards the crack initiation in CFRP laminates compared with round-shape carbon fiber.
Published: 2024

4. Pathological gait in Rett syndrome: Quantitative evaluation using three-dimensional gait analysis

Author: Suzuki, Takeshi, Ito, Yuji, Ito, Tadashi, Kidokoro, Hiroyuki, Noritake, Koji, Tsujimura, Keita, Saitoh, Shinji, Yamamoto, Hiroyuki, Ochi, Nobuhiko, Ishihara, Naoko, Yasui, Izumi, Sugiura, Hideshi, Nakata, Tomohiko, Natsume, Jun, Suzuki, Takeshi, Ito, Yuji, Ito, Tadashi, Kidokoro, Hiroyuki, Noritake, Koji, Tsujimura, Keita, Saitoh, Shinji, Yamamoto, Hiroyuki, Ochi, Nobuhiko, Ishihara, Naoko, Yasui, Izumi, Sugiura, Hideshi, Nakata, Tomohiko, and Natsume, Jun
Abstract: Objectives: Ataxic-rigid gait is a characteristic gait pathology in patients with Rett syndrome (RTT). In the present study, we aimed to quantitatively evaluate gait pathology in patients with RTT using three-dimensional gait analysis (3DGA). Methods: We performed 3DGA in 11 patients with RTT ranging from 5 to 18 years (median age, 9 years) and in 33 age-matched healthy female controls. We compared the results of 3DGA, including spatiotemporal gait parameters and comprehensive indices of gait kinematics, such as the Gait Deviation Index (GDI) and Gait Profile Score (GPS), between the two groups. The GPS consists of nine sub-indices called Gait Variable Scores (GVSs). Decline in GDI or elevation of GPS and GVS indicated greater abnormal gait pathology. Results: The patients demonstrated significantly slower walking speed, lower step length/length of the lower extremities, lower cadence, wider step width, and higher coefficient of variation of step length than the controls. Moreover, the patients had a lower GDI and higher GPS than the controls. The patients also exhibited higher GVSs for eight out of nine gait kinematics, particularly the sagittal plane in the pelvis, hip, knee, and ankle joint; coronal plane in the pelvis and hip joint; and horizontal plane in the pelvis than the controls. Conclusions: Quantitative evaluation of gait pathology in patients with RTT is possible using 3DGA. We found that in addition to ataxic-rigid gait, abnormalities in the coronal plane of the pelvis and hip joint and the horizontal plane of the pelvis were prominent.
Published: 2024

5. Pathological gait in Rett syndrome: Quantitative evaluation using three-dimensional gait analysis

Author: Suzuki, Takeshi, Ito, Yuji, Ito, Tadashi, Kidokoro, Hiroyuki, Noritake, Koji, Tsujimura, Keita, Saitoh, Shinji, Yamamoto, Hiroyuki, Ochi, Nobuhiko, Ishihara, Naoko, Yasui, Izumi, Sugiura, Hideshi, Nakata, Tomohiko, Natsume, Jun, Suzuki, Takeshi, Ito, Yuji, Ito, Tadashi, Kidokoro, Hiroyuki, Noritake, Koji, Tsujimura, Keita, Saitoh, Shinji, Yamamoto, Hiroyuki, Ochi, Nobuhiko, Ishihara, Naoko, Yasui, Izumi, Sugiura, Hideshi, Nakata, Tomohiko, and Natsume, Jun
Abstract: Objectives: Ataxic-rigid gait is a characteristic gait pathology in patients with Rett syndrome (RTT). In the present study, we aimed to quantitatively evaluate gait pathology in patients with RTT using three-dimensional gait analysis (3DGA). Methods: We performed 3DGA in 11 patients with RTT ranging from 5 to 18 years (median age, 9 years) and in 33 age-matched healthy female controls. We compared the results of 3DGA, including spatiotemporal gait parameters and comprehensive indices of gait kinematics, such as the Gait Deviation Index (GDI) and Gait Profile Score (GPS), between the two groups. The GPS consists of nine sub-indices called Gait Variable Scores (GVSs). Decline in GDI or elevation of GPS and GVS indicated greater abnormal gait pathology. Results: The patients demonstrated significantly slower walking speed, lower step length/length of the lower extremities, lower cadence, wider step width, and higher coefficient of variation of step length than the controls. Moreover, the patients had a lower GDI and higher GPS than the controls. The patients also exhibited higher GVSs for eight out of nine gait kinematics, particularly the sagittal plane in the pelvis, hip, knee, and ankle joint; coronal plane in the pelvis and hip joint; and horizontal plane in the pelvis than the controls. Conclusions: Quantitative evaluation of gait pathology in patients with RTT is possible using 3DGA. We found that in addition to ataxic-rigid gait, abnormalities in the coronal plane of the pelvis and hip joint and the horizontal plane of the pelvis were prominent.
Published: 2024

6. Protocol for cross-platform characterization of human and murine extracellular vesicles and particles

Author: Bojmar, Linda, Kim, Han Sang, Sugiura, Kei, Heissel, Soren, Lucotti, Serena, Cioffi, Michele, Johnson, Kofi Ennu, Cohen-Gould, Leona, Zhang, Haiying, Molina, Henrik, Matei, Irina R., Lyden, David, Hoshino, Ayuko, Bojmar, Linda, Kim, Han Sang, Sugiura, Kei, Heissel, Soren, Lucotti, Serena, Cioffi, Michele, Johnson, Kofi Ennu, Cohen-Gould, Leona, Zhang, Haiying, Molina, Henrik, Matei, Irina R., Lyden, David, and Hoshino, Ayuko
Abstract: Characterization of isolated extracellular vesicles and particles (EVPs) is crucial for determining functions and biomarker potential. Here, we present a protocol to analyze size, number, morphology, and EVP protein cargo and to validate EVP proteins in both humans and mice. We describe steps for nanoparticle tracking analysis, transmission electron microscopy, single-EVP immunodetection, EVP proteomic mass spectrometry and bioinformatic analysis, and EVP protein validation by ExoELISA and western blot analysis. This allows for EVP cross -validation across different platforms.For complete details on the use and execution of this protocol, please refer to Hoshino et al.1, Funding Agencies|National Research Foundation of Korea (NRF) - Korean government (MSIT) [2022R1A2C4001879]; Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI) - Ministry of Health and Welfare, Republic of Korea [HI22C0353]; Bio & Medical Technology Development Program of the National Research Foundation (NRF) - Korean government (MSIT) [2022M3A9F3016364]; Swedish Cancer Society [21 1824 Pj 01]; Swedish Research Society [2021-02356]; Swedish Society for Medical Research [S21-0079]; DoD PRCRP Horizon Award [W81XWH-19-PRCRP-HA]
Published: 2024
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7. The Technification of Domestic Abuse: Methods, Tools, and Criminal Justice Responses

Author: Sugiura, Lisa, Button, Mark, Nurse, Jason R. C., Tapley, Jacki, Belen-Saglam, Rahime, Hawkins, Chloe, Frederick, Brian, Blackbourn, Dean, Sugiura, Lisa, Button, Mark, Nurse, Jason R. C., Tapley, Jacki, Belen-Saglam, Rahime, Hawkins, Chloe, Frederick, Brian, and Blackbourn, Dean
Abstract: Methods of domestic abuse are progressively incorporating computer misuse and other related online offences, and digital tools, escalating opportunities for perpetrators to monitor, threaten and humiliate their victims. Drawing on empirical research involving media case study analysis, a technology review, and interviews undertaken with 21 professionals and service providers supporting domestic abuse victims, this article outlines the context in England and Wales regarding the methods, tools and criminal justice responses involved in what we conceptualise as the technification of domestic abuse. As technology continues to deeply intertwine with our daily lives, it is undeniable that its involvement within domestic abuse encompasses harmful behaviours that pose an increasing risk of harm, and unless effective criminal justice interventions are implemented, this risk will inevitably grow even further.
Published: 2024

8. Designing Chatbots to Support Victims and Survivors of Domestic Abuse

Author: Saglam, Rahime Belen, Nurse, Jason R. C., Sugiura, Lisa, Saglam, Rahime Belen, Nurse, Jason R. C., and Sugiura, Lisa
Abstract: Objective: Domestic abuse cases have risen significantly over the last four years, in part due to the COVID-19 pandemic and the challenges for victims and survivors in accessing support. In this study, we investigate the role that chatbots - Artificial Intelligence (AI) and rule-based - may play in supporting victims/survivors in situations such as these or where direct access to help is limited. Methods: Interviews were conducted with experts working in domestic abuse support services and organizations (e.g., charities, law enforcement) and the content of websites of related support-service providers was collected. Thematic content analysis was then applied to assess and extract insights from the interview data and the content on victim-support websites. We also reviewed pertinent chatbot literature to reflect on studies that may inform design principles and interaction patterns for agents used to support victims/survivors. Results: From our analysis, we outlined a set of design considerations/practices for chatbots that consider potential use cases and target groups, dialog structure, personality traits that might be useful for chatbots to possess, and finally, safety and privacy issues that should be addressed. Of particular note are situations where AI systems (e.g., ChatGPT, CoPilot, Gemini) are not recommended for use, the value of conveying emotional support, the importance of transparency, and the need for a safe and confidential space. Conclusion: It is our hope that these considerations/practices will stimulate debate among chatbots and AI developers and service providers and - for situations where chatbots are deemed appropriate for use - inspire efficient use of chatbots in the support of survivors of domestic abuse.
Published: 2024

9. Polos: Multimodal Metric Learning from Human Feedback for Image Captioning

Author: Wada, Yuiga, Kaneda, Kanta, Saito, Daichi, Sugiura, Komei, Wada, Yuiga, Kaneda, Kanta, Saito, Daichi, and Sugiura, Komei
Abstract: Establishing an automatic evaluation metric that closely aligns with human judgments is essential for effectively developing image captioning models. Recent data-driven metrics have demonstrated a stronger correlation with human judgments than classic metrics such as CIDEr; however they lack sufficient capabilities to handle hallucinations and generalize across diverse images and texts partially because they compute scalar similarities merely using embeddings learned from tasks unrelated to image captioning evaluation. In this study, we propose Polos, a supervised automatic evaluation metric for image captioning models. Polos computes scores from multimodal inputs, using a parallel feature extraction mechanism that leverages embeddings trained through large-scale contrastive learning. To train Polos, we introduce Multimodal Metric Learning from Human Feedback (M$^2$LHF), a framework for developing metrics based on human feedback. We constructed the Polaris dataset, which comprises 131K human judgments from 550 evaluators, which is approximately ten times larger than standard datasets. Our approach achieved state-of-the-art performance on Composite, Flickr8K-Expert, Flickr8K-CF, PASCAL-50S, FOIL, and the Polaris dataset, thereby demonstrating its effectiveness and robustness., Comment: CVPR 2024
Published: 2024

10. Data-driven Estimation of the Algebraic Riccati Equation for the Discrete-Time Inverse Linear Quadratic Regulator Problem

Author: Sugiura, Shuhei, Ariizumi, Ryo, Tanemura, Masaya, Asai, Toru, Azuma, Shun-ichi, Sugiura, Shuhei, Ariizumi, Ryo, Tanemura, Masaya, Asai, Toru, and Azuma, Shun-ichi
Abstract: In this paper, we propose a method for estimating the algebraic Riccati equation (ARE) with respect to an unknown discrete-time system from the system state and input observation. The inverse optimal control (IOC) problem asks, ``What objective function is optimized by a given control system?'' The inverse linear quadratic regulator (ILQR) problem is an IOC problem that assumes a linear system and quadratic objective function. The ILQR problem can be solved by solving a linear matrix inequality that contains the ARE. However, the system model is required to obtain the ARE, and it is often unknown in fields in which the IOC problem occurs, for example, biological system analysis. Our method directly estimates the ARE from the observation data without identifying the system. This feature enables us to economize the observation data using prior information about the objective function. We provide a data condition that is sufficient for our method to estimate the ARE. We conducted a numerical experiment to demonstrate that our method can estimate the ARE with less data than system identification if the prior information is sufficient.
Published: 2024

11. A Cost-Efficient FPGA Implementation of Tiny Transformer Model using Neural ODE

Author: Okubo, Ikumi, Sugiura, Keisuke, Matsutani, Hiroki, Okubo, Ikumi, Sugiura, Keisuke, and Matsutani, Hiroki
Abstract: Transformer is an emerging neural network model with attention mechanism. It has been adopted to various tasks and achieved a favorable accuracy compared to CNNs and RNNs. While the attention mechanism is recognized as a general-purpose component, many of the Transformer models require a significant number of parameters compared to the CNN-based ones. To mitigate the computational complexity, recently, a hybrid approach has been proposed, which uses ResNet as a backbone architecture and replaces a part of its convolution layers with an MHSA (Multi-Head Self-Attention) mechanism. In this paper, we significantly reduce the parameter size of such models by using Neural ODE (Ordinary Differential Equation) as a backbone architecture instead of ResNet. The proposed hybrid model reduces the parameter size by 94.6% compared to the CNN-based ones without degrading the accuracy. We then deploy the proposed model on a modest-sized FPGA device for edge computing. To further reduce FPGA resource utilization, we quantize the model following QAT (Quantization Aware Training) scheme instead of PTQ (Post Training Quantization) to suppress the accuracy loss. As a result, an extremely lightweight Transformer-based model can be implemented on resource-limited FPGAs. The weights of the feature extraction network are stored on-chip to minimize the memory transfer overhead, allowing faster inference. By eliminating the overhead of memory transfers, inference can be executed seamlessly, leading to accelerated inference. The proposed FPGA implementation achieves 12.8x speedup and 9.21x energy efficiency compared to ARM Cortex-A53 CPU.
Published: 2024

12. FPGA-Accelerated Correspondence-free Point Cloud Registration with PointNet Features

Author: Sugiura, Keisuke, Matsutani, Hiroki, Sugiura, Keisuke, and Matsutani, Hiroki
Abstract: Point cloud registration serves as a basis for vision and robotic applications including 3D reconstruction and mapping. Despite significant improvements on the quality of results, recent deep learning approaches are computationally expensive and power-hungry, making them difficult to deploy on resource-constrained edge devices. To tackle this problem, in this paper, we propose a fast, accurate, and robust registration for low-cost embedded FPGAs. Based on a parallel and pipelined PointNet feature extractor, we develop custom accelerator cores namely PointLKCore and ReAgentCore, for two different learning-based methods. They are both correspondence-free and computationally efficient as they avoid the costly feature matching step involving nearest-neighbor search. The proposed cores are implemented on the Xilinx ZCU104 board and evaluated using both synthetic and real-world datasets, showing the substantial improvements in the trade-offs between runtime and registration quality. They run 44.08-45.75x faster than ARM Cortex-A53 CPU and offer 1.98-11.13x speedups over Intel Xeon CPU and Nvidia Jetson boards, while consuming less than 1W and achieving 163.11-213.58x energy-efficiency compared to Nvidia GeForce GPU. The proposed cores are more robust to noise and large initial misalignments than the classical methods and quickly find reasonable solutions in less than 15ms, demonstrating the real-time performance., Comment: 27 pages, 19 figures
Published: 2024

13. Practical Persistent Multi-Word Compare-and-Swap Algorithms for Many-Core CPUs

Author: Sugiura, Kento, Nishimura, Manabu, Ishikawa, Yoshiharu, Sugiura, Kento, Nishimura, Manabu, and Ishikawa, Yoshiharu
Abstract: In the last decade, academic and industrial researchers have focused on persistent memory because of the development of the first practical product, Intel Optane. One of the main challenges of persistent memory programming is to guarantee consistent durability over separate memory addresses, and Wang et al. proposed a persistent multi-word compare-and-swap (PMwCAS) algorithm to solve this problem. However, their algorithm contains redundant compare-and-swap (CAS) and cache flush instructions and does not achieve sufficient performance on many-core CPUs. This paper proposes a new algorithm to improve performance on many-core CPUs by removing useless CAS/flush instructions from PMwCAS operations. We also exclude dirty flags, which help ensure consistent durability in the original algorithm, from our algorithm using PMwCAS descriptors as write-ahead logs. Experimental results show that the proposed method is up to ten times faster than the original algorithm and suggests several productive uses of PMwCAS operations., Comment: 8 pages, 14 figures
Published: 2024

14. Analysis of Referrals to Genetics for Suspected Hypermobile Ehlers-Danlos Syndrome

Author: Sugiura, Hanae, Bocian, Maureen1, Sugiura, Hanae, Sugiura, Hanae, Bocian, Maureen1, and Sugiura, Hanae
Abstract: Hypermobile Ehlers-Danlos Syndrome (hEDS) is a condition with heterogeneous clinical features characteristic of a connective tissue disorder (CTD) including generalized joint hypermobility, hyperextensible skin, joint subluxations/dislocations and commonly associated comorbidities such as postural orthostatic tachycardia syndrome and fatigue (Castori et al., 2017; Gensemer et al., 2021). hEDS is the only one among 13 Ehlers-Danlos syndrome (EDS) subtypes without a known etiology or targeted clinical molecular genetic testing, requiring strict clinical diagnostic guidelines and exclusion of other similar conditions (Malfait et al., 2017). Possibly due to the diverse clinical symptoms and the lack of molecular confirmation, hEDS referrals for evaluation for hEDS may be increasingly inundating and overwhelming genetics clinics. This study was a retrospective chart review that analyzed 143 referrals for suspected hEDS/CTD to the University of California, Irvine (UCI) adult genetics clinic and the referring providers’ relevant medical notes, if available. The purpose of this research was to understand why medical professionals refer patients with suspected hEDS/CTD for genetic evaluation and what they document in the referral. First, a classification scheme to identify appropriate referrals was developed using a consensus process. Utilizing a system with four categories of appropriateness, 51% (N=74) of referrals were found to lack enough details to be categorized as appropriate. Additionally, features recorded in the referral documentation were analyzed, and many features related to CTD aside from joint involvements either had not been assessed or were not documented. Many referrals (>75%) also did not document the presence or absence of certain CTD-related features including dislocations, subluxations, easy bruising, and elastic skin. Furthermore, the classification of appropriateness for the primary care referrals differed significantly from that for the referrals
Published: 2023

15. A second update on mapping the human genetic architecture of COVID-19

Author: Kanai, M, Andrews, S, Cordioli, M, Stevens, C, Neale, B, Daly, M, Ganna, A, Pathak, G, Iwasaki, A, Karjalainen, J, Mehtonen, J, Pirinen, M, Chwialkowska, K, Trankiem, A, Balaconis, M, Veerapen, K, Wolford, B, Ahmad, H, von Hohenstaufen Puoti, K, Boer, C, Boua, P, Butler-Laporte, G, Cadilla, C, Chwiałkowska, K, Colombo, F, Douillard, V, Dueker, N, Dutta, A, El-Sherbiny, Y, Eltoukhy, M, Esmaeeli, S, Faucon, A, Fave, M, Cadenas, I, Francescatto, M, Francioli, L, Franke, L, Fuentes, M, Durán, R, Cabrero, D, Harry, E, Jansen, P, Szentpéteri, J, Kaja, E, Kirk, C, Kousathanas, A, Krieger, J, Patel, S, Lemaçon, A, Limou, S, Lió, P, Marouli, E, Marttila, M, Medina-Gómez, C, Michaeli, Y, Migeotte, I, Mondal, S, Moreno-Estrada, A, Moya, L, Nakanishi, T, Nasir, J, Pasko, D, Pearson, N, Pereira, A, Priest, J, Prijatelj, V, Prokić, I, Teumer, A, Várnai, R, Romero-Gómez, M, Roos, C, Rosenfeld, J, Ruolin, L, Schulte, E, Schurmann, C, Sedaghati-khayat, B, Shaheen, D, Shivanathan, I, Sipeky, C, Sirui, Z, Striano, P, Tanigawa, Y, Remesal, A, Vadgama, N, Vallerga, C, van der Laan, S, Verdugo, R, Wang, Q, Wei, Z, Zainulabid, U, Zárate, R, Auton, A, Shelton, J, Shastri, A, Weldon, C, Filshtein-Sonmez, T, Coker, D, Symons, A, Aslibekyan, S, O’Connell, J, Ye, C, Hatoum, A, Agrawal, A, Bogdan, R, Colbert, S, Thompson, W, Fan, C, Johnson, E, Niazyan, L, Davidyants, M, Arakelyan, A, Avetyan, D, Bekbossynova, M, Tauekelova, A, Tuleutayev, M, Sailybayeva, A, Ramankulov, Y, Zholdybayeva, E, Dzharmukhanov, J, Kassymbek, K, Tsechoeva, T, Turebayeva, G, Smagulova, Z, Muratov, T, Khamitov, S, Kwong, A, Timpson, N, Niemi, M, Rahmouni, S, Guntz, J, Beguin, Y, Pigazzini, S, Nkambule, L, Georges, M, Moutschen, M, Misset, B, Darcis, G, Gofflot, S, Bouysran, Y, Busson, A, Peyrassol, X, Wilkin, F, Pichon, B, Smits, G, Vandernoot, I, Goffard, J, Tiembe, N, Morrison, D, Afilalo, J, Mooser, V, Richards, J, Rousseau, S, Durand, M, Forgetta, V, Laurent, L, Afrasiabi, Z, Bouab, M, Tselios, C, Xue, X, Afilalo, M, Oliveira, M, St-Cyr, J, Boisclair, A, Ragoussis, J, Auld, D, Kaufmann, D, Lathrop, G, Bourque, G, Décary, S, Falcone, E, Montpetit, A, Piché, A, Renoux, C, Tremblay, K, Tse, S, Zawati, M, Davis, L, Cox, N, Below, J, Sealock, J, Shuey, M, Polikowsky, H, Petty, L, Shaw, D, Chen, H, Zhu, W, Schmidt, A, Ludwig, K, Maj, C, Rolker, S, Balla, D, Behzad, P, Nöthen, M, Fazaal, J, Keitel, V, Jensen, B, Feldt, T, Marx, N, Dreher, M, Pink, I, Cornberg, M, Illig, T, Lehmann, C, Schommers, P, Rybniker, J, Augustin, M, Knopp, L, Kurth, I, Eggermann, T, Volland, S, Berger, M, Brenner, T, Hinney, A, Witzke, O, Konik, M, Bals, R, Herr, C, Ludwig, N, Walter, J, Latz, E, Schmidt, S, Brooks, J, Bull, S, Elliott, L, Gagnon, F, Greenwood, C, Hung, R, Lawless, J, Paterson, A, Sun, L, Rauh, M, Briollais, L, Gingras, A, Bombard, Y, Pugh, T, Simpson, J, Goneau, L, Halevy, A, Maslove, D, Borgundvaag, B, Devine, L, Bearss, E, Richardson, D, Arnoldo, S, Friedman, S, Taher, A, Stern, S, Dagher, M, Vasilevska-Ristovska, J, Biggs, C, Mickiewicz, B, Strug, L, Scherer, S, Aziz, N, Jones, S, Knoppers, B, Lathrop, M, Turvey, S, Yeung, R, Allen, U, Cheung, A, Herridge, M, Hunt, M, Lerner-Ellis, J, Taher, J, Parekh, R, Hiraki, L, Cowan, J, Ducharme, F, Ostrowski, M, Bernier, F, Kellner, J, Garg, E, Yoo, S, Vlasschaert, C, Frangione, E, Chung, M, Noor, A, Greenfeld, E, Colwill, K, Clausen, M, Chao, G, Yue, F, Fritzler, M, Whitney, J, Thiruvahindrapuram, B, Garant, J, Abraham, R, Davis, A, Campigotto, A, Papenburg, J, Niranjan, K, Betschel, S, Sadarangani, M, Barton-Forbes, M, Hanley, M, Fung, C, Lapadula, E, Macdonald, G, Puopolo, M, Kaushik, D, Nirmalanathan, K, Wong, I, Khan, Z, Zarei, N, Michalowska, M, Modi, B, Persia, P, Estacio, A, Buchholz, M, Cheatley, P, Lorenti, M, Aman, N, Matveev, V, Budylowski, P, Upton, J, Morris, S, Boyd, T, Chowdhary, S, Casalino, S, Morgan, G, Mighton, C, Mcgeer, A, Mazzulli, T, Mcleod, S, Binnie, A, Faghfoury, H, Chertkow, H, Racher, H, Serbanescu, M, Pavenski, K, Esser, M, Thompson, G, Herbrick, J, Gignoux, C, Wicks, S, Crooks, K, Barnes, K, Daya, M, Shortt, J, Rafaels, N, Chavan, S, Schulze, T, Heilbronner, U, Papiol, S, Corbetta, A, Wendtner, C, Spinner, C, Erber, J, Schneider, J, Winter, C, Wiltfang, J, Budde, M, Senner, F, Kalman, J, Protzer, U, Mueller, N, Mousas, A, Liontos, A, Christaki, E, Milionis, H, Tsilidis, K, Asimakopoulos, A, Kanellopoulou, A, Markozannes, G, Biros, D, Milionis, O, Tsourlos, S, Athanasiou, L, Kolios, N, Pappa, C, Papathanasiou, A, Pargana, E, Nasiou, M, Kosmidou, M, Rapti, I, Ntotsikas, E, Chaliasos, K, Ntzani, E, Evangelou, E, Gartzonika, K, Georgiou, I, Tzoulaki, I, Ellinghaus, D, Degenhardt, F, Cáceres, M, Juzenas, S, Lenz, T, Albillos, A, Julià, A, Prati, D, Solligård, E, Garcia, F, Tran, F, Hanses, F, Baselli, G, Zoller, H, Holter, J, Fernández, J, Barretina, J, Valenti, L, Bujanda, L, Buti, M, D’Amato, M, Banales, J, Rosenstiel, P, Koehler, P, Invernizzi, P, de Cid, R, 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Carrabba, Maria, Valsecchi, Maria G., Hernandez-Tejero, María, Vehreschild, Maria J. G. T., Manunta, Maria, Acosta-Herrera, Marialbert, D’Angiò, Mariella, Baldini, Marina, Cazzaniga, Marina, Marquié, Marta, Castoldi, Massimo, Cecconi, Maurizio, Tomasi, Melissa, Boada, Mercè, Joannidis, Michael, Mazzocco, Michela, Ciccarelli, Michele, Rodríguez-Gandía, Miguel, Bocciolone, Monica, Miozzo, Monica, Ayo, Natale Imaz, Blay, Natalia, Chueca, Natalia, Montano, Nicola, Martínez, Nilda, Cornely, Oliver A., Palmieri, Orazio, Faverio, Paola, Preatoni, Paoletta, Bonfanti, Paolo, Omodei, Paolo, Tentorio, Paolo, Castro, Pedro, Rodrigues, Pedro M., Izquierdo-Sanchez, Laura, España, Pedro Pablo, Hoffmann, Per, Bacher, Petra, de Pablo, Raúl, Ferrer, Ricard, Gualtierotti, Roberta, Gallego-Durán, Rocío, Nieto, Rosa, Carpani, Rossana, Morilla, Rubén, Badalamenti, Salvatore, Haider, Sammra, Ciesek, Sandra, Bombace, Sara, Marsal, Sara, Klein, Sebastian, Pelusi, Serena, Wilfling, Sibylle, Goerg, Siegfried, Bosari, Silvano, Brunak, Søren, Heilmann-Heimbach, Stefanie, Aliberti, Stefano, Dudman, Susanne, Zheng, Tenghao, Bahmer, Thomas, Pumarola, Tomas, Cejudo, Trinidad Gonzalez, Rimoldi, Valeria, Monzani, Valter, Skogen, Vegard, Friaza, Vicente, Andrade, Victor, Moreno, Victor, Peter, Wolfgang, Farre, Xavier, Khodamoradi, Yascha, Grimsrud, Marit M., May, Sandra, Colombo, Alicia, Virginia, Monardes-Ramírez A., Dorador, Cristina, Fuentes-Guajardo, Macarena, Silva, Andrea X., Espinosa-Parrilla, Yolanda, Yáñez, Cristian E., Retamales-Ortega, Rocío M., Saez Hidalgo, Juan M., Tobar-Calfucoy, Eduardo A., Carvajal-Silva, Laura, Martínez, Matías F., Cerpa, Leslie C., Christian, Muñoz A., Cappelli, Claudio, Valenzuela-Jorquera, Hector, Zapata-Contreras, Daniela, Zuñiga-Pacheco, Paula, Nova-Lamperti, Estefania A., Sanhueza, Sergio A., Donoso, Gerardo, Bocchieri, Pamela, Kochifas, Pia, Quiñones, Luis A., Pedersen, Ole Birger, Geller, Frank, Westergaard, David, Sequeros, Celia Burgos, Nissen, Janna, Nielsen, Susanne Dam, Feldt-Rasmussen, Ulla, Bliddal, Sofie, Grønbæk, Kirsten, Ullum, Henrik, Ostrowski, Sisse Rye, Feenstra, Bjarke, Shahin, Doaa, Sobh, Ali, Shoma, Ashraf, Nkambul, Lindokuhle, Elhadidy, Tamer A., Abd Elghafar, Mohamed S., El-Jawhari, Jehan J., Mohamed, Attia A. S., Elnagdy, Marwa H., Samir, Amr, Abdel-Aziz, Mahmoud, Khafaga, Walid T., El-Lawaty, Walaa M., Torky, Mohamed S., El-Shanshory, Mohamed R., Elzeiny, Ahmed, Rashad, Amal, Mansour, Tamer A., Yassen, Amr M., Hegazy, Mohamed A. F., Okasha, Kamal, Eid, Mohammed A., Hanteera, Moahmed S., Medina-Gomez, Carolina, Ikram, M. Arfan, Uitterlinden, Andre G., Ripatti, Samuli, Jermy, Bradley, Ruotsalainen, Sanni, Kristiansson, Kati, Koskelainen, Sami, Perola, Markus, Donner, Kati, Kivinen, Katja, Palotie, Aarno, Kaunisto, Mari, Julienne, Hanna, Aschard, Hugues, Deleuze, Jean-Francois, Debette, Stephanie, Tregouet, David-Alexandre, Abel, Laurent, Henches, Léo, Lefloch, Edith, Claire, Dandine-Roulland, Sakuntabhai, Anavaj, Bourgeron, Thomas, Olaso, Robert, Daian, Delphine Bacq, Pellegrin, Isabelle, Casanova, Jean-Laurent, Cobat, Aurélie, Jouanguy, Emmanuelle, Zhang, Qian, Ghosn, Jade, Mentré, France, Laouénan, Cédric, Tubiana, Sarah, Chirouze, Catherine, Quintana-Murci, Luis, Patin, Etienne, Duffy, Darragh, Boland, Anne, Carreras, Anna, Galván-Femenía, Iván, Farré, Xavier, Cortés, Beatriz, Mercader, Josep Maria, Guindo-Martinez, Marta, Torrents, David, Garcia-Aymerich, Judith, Castaño-Vinyals, Gemma, Dobaño, Carlota, van Heel, David A., Hunt, Karen A., Trembath, Richard C., Jacobs, Benjamin Meir, Huang, Qin Qin, Martin, Hilary C., Mason, Dan, Trivedi, Bhavi, Wright, John, Munisamy, Malathy, Finer, Sarah, Griffiths, Christopher J., McCarthy, Mark I., Rosenberger, Carrie, Lee, Jong Eun, Chang, Diana, Hammer, Christian, Hunkapiller, Julie, Mahajan, Anubha, Pendergrass, Rion, Sucheston-Campbell, Lara, Yaspan, Brian, Lee, Hyun Soo, Shin, Eunsoon, Jang, Hye Yoon, Kim, Sunmie, Kym, Sungmin, Kim, Yeon-Sook, Jeong, Hyeongseok, Kwon, Ki Tae, Kim, Shin-Woo, Kim, Jin Yong, Jang, Young Rock, Kim, Hyun ah, Lee, Ji yeon, Lee, Jeong Eun, Lee, Shinwon, Choe, Kang-Won, Kang, Yu Min, Jee, Sun Ha, Jung, Keum Ji, Park, Hyun-Young, Kim, Bong-Jo, Kim, Young Jin, Hwang, Mi Yeong, Yoon, Kyungheon, Pairo-Castineira, Erola, Rawlik, Konrad, Caulfield, Mark J., Baillie, J. Kenneth, Griffiths, Fiona, Bretherick, Andrew D., Stuckey, Alex, Odhams, Christopher A., Walker, Susan, Russell, Clark D., Malinauskas, Tomas, Wu, Yang, Shen, Xia, Elliott, Katherine S., Morrice, Kirstie, Keating, Sean, Wang, Bo, Rhodes, Daniel, Klaric, Lucija, Zechner, Marie, Parkinson, Nick, Fawkes, Angie, Murphy, Lee, Vitart, Veronique, Wilson, James F., Yang, Jian, Scott, Richard H., Moutsianas, Loukas, Law, Andy, Begg, Colin, Hendry, Sara Clohisey, Hinds, Charles, Horby, Peter, Knight, Julian, Ling, Lowell, Maslove, David, McAuley, Danny, Millar, Johnny, Montgomery, Hugh, Nichol, Alistair, Openshaw, Peter J. M., Ponting, Chris P., Rowan, Kathy, Semple, Malcolm G., Shankar-Hari, Manu, Summers, Charlotte, Walsh, Timothy, Pan, Jacqueline, Grau, Neus, Jones, Tim Owen, Lim, Rosario, Marotti, Martina, Whitton, Christopher, Bociek, Aneta, Campos, Sara, Arbane, Gill, Ostermann, Marlies, Cha, Mina, DAmato, Fabiola, Kosifidou, Eirini, Lorah, Shelley, Morera, Kyma, Brady, Laura, Hugill, Keith, Henning, Jeremy, Bonner, Stephen, Headlam, Evie, Jones, Jessica, List, Abigail, Morley, Joanne, Welford, Amy, Kamangu, Bobette, Ratnakumar, Anitha, Shoremekun, Abiola, Alldis, Zoe, Astin-Chamberlain, Raine, Bibi, Fatima, Biddle, Jack, Blow, Sarah, Bolton, Matthew, Borra, Catherine, Bowles, Ruth, Burton, Maudrian, Choudhury, Yasmin, Cox, Amber, Easthope, Amy, Ebano, Patrizia, Fotiadis, Stavros, Gurasashvili, Jana, Halls, Rosslyn, Hartridge, Pippa, Kallon, Delordson, Kassam, Jamila, Lancoma-Malcolm, Ivone, Matharu, Maninderpal, May, Peter, Mitchelmore, Oliver, Newman, Tabitha, Patel, Mital, Pheby, Jane, Pinzuti, Irene, Prime, Zoe, Prysyazhna, Oleksandra, Shiel, Julian, Taylor, Melanie, Tierney, Carey, Zongo, Olivier, Wood, Suzanne, Zak, Anne, Collier, David, Mundy, Manuela, Thompson, Christopher, Pritchard, Lisa, Gellamucho, Minnie, Cartlidge, David, Bandla, Nageswar, Bailey, Lucy, Davies, Michelle, Delaney, Jane, Scott, Leanne, Abdelrazik, Marwa, Alasdair, Frater, Carter, David, Elhassan, Munzir, Ganesan, Arunkumar, Jenkins, Samuel, Lamond, Zoe, Purohit, Dharam, Rohit, Kumar, Saleem, Malik, Wall, Alanna, Xavier, Kugan, Bakthavatsalam, Dhanalaksmi, Gehad, Kirolos, Gnanapragasam, Pakeerathan, Jain, Kapil, Jain, Swati, Malik, Abdul, Pappachan, Naveen, Moreno-Cuesta, Jeronimo, Haldeos, Anne, Vincent, Rachel, Oziegb, Maryjane, Cavazza, Anna, Cockrell, Maeve, Corcoran, Eleanor, Depante, Maria, Finney, Clare, Jerome, Ellen, Knighton, Abigail, Nayak, Monalisa, Pappa, Evita, Saha, Rohit, Saha, Sian, Dodd, Andrew, O’Reilly, Kevin, McPhail, Mark, Clarey, Emma, Noble, Harriet, Smith, John, Coghlan, Phoebe, Brett, Stephen, Gordon, Anthony, Templeton, Maie, Antcliffe, David, Banach, Dorota, Darnell, Sarah, Fernandez, Ziortza, Jepson, Eleanor, Mohammed, Amal, Rojo, Roceld, Arias, Sonia Sousa, Gurung, Anita Tamang, Wong, Jenny, Fernandez-Roman, Jaime, Hamilton, David O., Johnson, Emily, Johnston, Brian, Martinez, Maria Lopez, Mulla, Suleman, Waite, Alicia A. C., Williams, Karen, Waugh, Victoria, Welters, Ingeborg, Emblem, Jessica, Norris, Maria, Shaw, David, Bashyal, Archana, Beer, Sally, Hutton, Paula, McKechnie, Stuart, Davidson, Neil, Mathew, Soya, Readion, Grace, Ryu, Jung, Wilson, Jean, Agrawal, Shruti, Elston, Kay, Jones, Megan, Meaney, Eoghan, Polgarova, Petra, Elbehery, Muhammad, Daubney, Esther, Ng, Anthony, Marshall, Jocelyn, Pathan, Nazima, Stroud, Katerina, White, Deborah, Andrew, Angela, Ashraf, Saima, Clark, Amy, Dent, Martin, Langley, Margaret, Peters, Cecilia, Ryan, Lucy, Sampson, Julia, Wei, Shuying, Baddeley, Alice, Meredith, Megan, Morris, Lucy, Gibbons, Alexandra, McLoughlin, Lisa, Delgado, Carlos Castro, Clark, Victoria, Dawson, Deborah, Ding, Lijun, Durrant, Georgia, Ezeobu, Obiageri, Harrison, Abiola, Hurt, William James, Kanu, Rebecca, Kinch, Ashley, Leaver, Susannah, Lisboa, Ana, Mathew, Jisha, Patel, Kamal, Saluzzio, Romina Pepermans, Rawlins, John, Samakomva, Tinashe, Shah, Nirav, Sicat, Christine, Texeira, Joana, Queiroz, Joana Gomes De, Gloria, Edna Fernandes Da, Maccacari, Elena, Yun, Nikki, Manna, Soumendu, Farnell-Ward, Sarah, Maizcordoba, Maria, Thanasi, Maria, Ali, Hawakin Haji, Hastings, Janice, Grauslyte, Lina, Hussain, Musarat, Ruge, Bobby, King, Sam, Pogreban, Tatiana, Rosaroso, Lace, Smith, Helen, Phull, Mandeep-Kaur, Adams, Nikkita, Franke, George, George, Aparna, Salciute, Erika, Wong, Joanna, Dunne, Karen, Flower, Luke, Sharland, Emma, Sra, Sukhmani, Andrew, Gillian, Callaghan, Marie, Barclay, Lucy, Marshall, Lucy, Amamio, Maria, Birch, Sophie, Briton, Kate, Clark, Sarah, Doverman, Katerine, Hope, Dave, Mcculloch, Corrienne, Simpson, Scott, Singleton, Jo, Fernandez, Rita, Allen, Meryem, Baptista, David, Crowe, Rebecca, Fox, Jonathan, Khera, Jacyntha, Loveridge, Adam, McKenley, India, Morino, Eriko, Naranjo, Andres, O’Connor, Denise, Simms, Richard, Sollesta, Kathryn, Swain, Andrew, Venkatesh, Harish, Herdman-Grant, Rosie, Joseph, Anna, Nown, Angela, Rose, Steve, Pogson, David, Boxall, Helen, Brimfield, Lutece, Claridge, Helen, Daly, Zoe, George, Shenu, Gribbin, Andrew, Cheema, Yusuf, Cutler, Sean, Richards, Owen, Roynon-Reed, Anna, Cherian, Shiney, Heron, Anne Emma, Williams, Gemma, Szakmany, Tamas, Waters, Abby, Collins, Kim, Dunhill, Jill, Jones, Ffion, Morris, Rebecca, Ship, Lucy, Cardwell, Amy, Ali, Syamlan, Bhatterjee, Ravi, Bolton, Rachel, Chukkambotla, Srikanth, Coleman, Dabheoc, Dalziel, Jack, Dykes, Joseph, Fine, Christopher, Gay, Bethan, Goddard, Wendy, Goodchild, Drew, Harling, Rhiannan, Hijazi, Muhammad, Keith, Sarah, Khan, Meherunnisa, Matt, Roseanna, Ryan-Smith, Janet, Saad, Samuel, Springle, Philippa, Thomas, Jacqueline, Truman, Nick, Kazi, Aayesha, Smith, Matthew, Collier, Heather, Davison, Chloe, Duberley, Stephen, Hargreaves, Jeanette, Hartley, Janice, Patel, Tahera, Smith, Ellen, Kent, Alissa, Goodwin, Emma, Zaki, Ahmed, Tibke, Clare, Hopkins, Susan, Gerrard, Hywel, Jackson, Matthew, Bennett, Sara, Marsh, Liane, Mills, Rebecca, Bell, Jessica, Campbell, Helen, Dawson, Angela, Dodds, Steve, Duffy, Stacey, Gallagher, Lisa, McCafferty, Gemma, Short, Stacey, Smith, Tracy, Thomas, Kirsty, Walker, Claire, Reynolds, Jessica, Yates, Bryan, McKie, Hayley, Panteli, Maria, Thompson, Maria, Waddell, Gail, Beger, Sarah De, Abraheem, Azmerelda, Dunmore, Charlie, Girach, Rumanah, Jones, Rhianna, London, Emily, Nagra, Imrun, Nasir, Farah, Sainsbury, Hannah, Smedley, Clare, Brearey, Stephen, Burchett, Caroline, Cawley, Kathryn, Faulkner, Maria, Jeffrey, Helen, Bamford, Peter, Shaikh, Firdaus, Slack, Lauren, Davies, Angela, Brooke, Hollie, Suarez, Jose Cebrian, Charlesworth, Ruth, Hansson, Karen, Norris, John, Poole, Alice, Sandhu, Rajdeep, Smithson, Elizabeth, Thirumaran, Muthu, Wagstaff, Veronica, Buckley, Sarah, Sloan, Brendan, Rose, Alastair, Major, Amy, Metcalfe, Alexandra, Almaden-Boyle, Christine, Austin, Pauline, Chapman, Susan, Eros, Alexandre, Cabrelli, Louise, Cole, Stephen, Whyte, Clare, Casey, Matt, Bafitis, Vasileios, Tsinaslanidis, George, George, Cassandra, Khade, Reena, Black, Christopher, Ashok, Sundar Raj, Farley, Sean, Brinkworth, Elaine, Harford, Rachel, Murphy, Carl, Williams, Marie, Newey, Luke, Toghill, Hannah, Lewis, Sophie, Rees, Tabitha, Battle, Ceri, Baker, Mark, Travers, Jenny, Chesters, Karen, Baxter, Nicola, Arnott, Andrew, McCreath, Gordan, McParland, Christopher, Rooney, Laura, Sim, Malcolm, Henderson, Steven, Abel, Lynn, Dalton, Carol, Kennedy-Hay, Sophie, O’Donohoe, Lynn, O’Hare, Megan, Orlikowska, Izabela, Parker, Natasha, McNeela, Fiona, Lyle, Amanda, Hughes, Alistair, Radhakrishnan, Jayachandran, Gibson, Sian, Bancroft, Hollie, Bellamy, Mary, Daglish, Jacqueline, Kadiri, Salma, Moore, Faye, Rhodes, Joanne, Sangombe, Mirriam, Peterkin, Zhane, Scriven, James, Carmody, Margaret, Cottle, Juliet, Peasgood, Emily, de Gordoa, Laura Ortiz-Ruiz, Phillips, Claire, Skinner, Denise, Cinquina, Zoe, Howard, Kate, Joy, Rosie, Roche, Samantha, Birkinshaw, Isobel, Carter, Joseph, Ingham, Jo, Marshall, Nicola, Pearson, Harriet, Scott, Zoe, Dasgin, Jo, Gill, Jaspret, Nilsson, Annette, Bamford, Amy, Hull, Diana, Ahmadhaider, Nafeesah, Bates, Michelle, McGhee, Christopher, Ellis, Hannah, Howe, Gwenllian Sera, Singh, Jayaprakash, Stroud, Natalie, Roche, Lisa, Lynch, Ceri, Deacon, Bethan, Pothecary, Carla, Smeaton, Justyna, Agravante, Kevin, Krishnamurthy, Vinodh, Diaba, Cynthia, John, Lincy, Lim, Lai, Jha, Rajeev, Egan, Jasmine, Felton, Timothy, Glasgow, Susannah, Padden, Grace, Choudhr, Ozerah, Bradley-Potts, Joanne, Moss, Stuart, Lingeswaran, Saejohn, Alexander, Peter, Brandwood, Craig, Fiouni, Sofia, Ward, Luke, Allen, Schvearn, Shaw, Jane, Smith, Christopher, Adanini, Oluronke, Collins, Rebecca, Msiska, Maines, Ofori, Linda, Bhatia, Nikhil, Dolan, Hayley, Brunton, Mark, Caterson, Jess, Coles, Holly, Keating, Liza, Tilney, Emma, Jacques, Nicola, Frise, Matthew, Armistead, Jennifer, Bartley, Shauna, Bhuie, Parminder, Rai, Sabi, Tomkova, Gabriela, Greer, Sandra, Shuker, Karen, Tridente, Ascanio, Dobson, Emma, Hunt, Jodie, Tully, Redmond, Dearden, Joy, Drummond, Andrew, Kamath, Prakash, Bullock, Emily, Mulcahy, Michelle, Munt, Shelia, O’Connor, Grainne, Philbin, Jennifer, Rishton, Chloe, Scott, Chloe, Winnard, Sarah, Hasni, Nurkamalia, Gascoyne, Rachel, Hawes, Joanne, Pritchard, Kelly, Stevenson, Lesley, Whileman, Amanda, Beavis, Sarah, Bishop, Lauren, Cart, Cindy, Dale, Katie, Kelly-Baxter, Mary, Mendelski, Adam, Moakes, Emma, Smith, Rheanna, Woodward, Jan, Wright, Stephanie, Allan, Angela, Botello, Adriana, Liew, Jade, Medhora, Jasmine, Trumper, Erin, Savage, Felicity, Scott, Teresa, Place, Marc, Kaye, Callum, Benyon, Sarah, Marriott, Suzie, Park, Linda, Quinn, Helen, Skyes, Daisy, Zitter, Lily, Baines, Kizzy, Gordon, Elizabeth, Keenan, Samantha, Pitt, Andrew, Duffy, Katharine, Ireland, Jane, Semple, Gary, Turner, Lynne, Cathcart, Susanne, Rimmer, Dominic, Puxty, Alex, Puxty, Kathryn, Hurst, Andrew, Miller, Jennifer, Speirs, Susan, Walker, Lauren, Bradshaw, Zena, Brown, Joanna, Melling, Sarah, Preston, Stephen, Slawson, Nicola, Warden, Scott, Beasley, Alanna, Stoddard, Emma, Benham, Leonie, Cupitt, Jason, Caswell, Melanie, Elawamy, Lisa, Wignall, Ashleigh, Roberts, Belinda, Golding, Hannah, Leggett, Samantha, Male, Michelle, Marani, Martyna, Prager, Kirsty, Williams, Toran, Golder, Kim, Jones, Oliver, Cusack, Rebecca, Bolger, Clare, Burnish, Rachel, Carter, Michael, Jackson, Susan, Salmon, Karen, Biss, Jonathan, Aquino, Maia, Croft, Maria, Frost, Victoria, White, Ian, Govender, Keshnie, Webb, Natasha, Stapleton, Liana, Wells, Colin, Nikitas, Nikitas, Sanchez - Rodriguez, Ana, Spencer, Kayleigh, Stowe, Bethan, Izzard, Yvonne, Poole, Michelle, Monnery, Sonja, Trotman, Sallyanne, Beech, Valerie, Combes, Edward, Joefield, Teishel, Covernton, Patrick, Savage, Sarah, Woodward, Elizabeth, Camsooksai, Julie, Reschreiter, Henrik, Barclay, Charlotte, DeAth, Yasmin, Dube, Judith, Humphrey, Charlotte, Jenkins, Sarah, Langridge, Emma, Milne, Rebecca, Wadams, Beverley, Woolcock, Megan, Brett, Michael, Digby, Brian, Gemmell, Lisa, Hornsby, James, MacGoey, Patrick, O’Neil, Pauline, Price, Richard, Sundaram, Radha, Rodden, Natalie, Thomson, Nicola, Rooney, Kevin, Currie, Susan, Henderson, Philip, Ogg, Bethan, Whiteley, Simon, Wilby, Liz, Long, Kate, Matthew, Shailamma, Salada, Sheila, Trott, Susan, Watts, Sarah, Friar, Zoe, Speight, Abigail, Bastion, Victoria, Chandna, Humza, Djeugam, Brice, Haseeb, Muhammad, Kent, Harriet, Lubimbi, Gamu, Murdoch, Sophie, Thomas, Alastair, David, Beena, Lorusso, Rachel, Vochin, Ana, Penacerrada, Melchizedek, Wulandari, Retno, Heath, Charlotte, Jakkula, Srinivas, Morris, Anna, Ahmed, Ashar, Nune, Arvind, Buttriss, Claire, Whitaker, Emma, Davey, Miriam, Golden, David, Acklery, Amy, Fernandes, Fabio, Seaman, Bec, Earl, Victoria, Collins, Amy, Khaliq, Waqas, Adam, Rachel, Treus, Estefania, Holland, Sarah, Alfonso, Jordan, Blackledge, Bethan, Bruce, Michelle, Durrans, Laura Jayne, Eltayeb, Ayaa, Harris, Jade, Hey, Samuel, Hruska, Martin, Lamb, Thomas, Rothwell, Joanne, Fitzgerald, Adele, Lindergard, Gabriella, T-Michael, Helen, Duncan, Tracey, Baxter-Dore, Sharon, Cooper, Lisa, Fox, Claire, Guerin, Jacinta, Hodgkiss, Tracey, Connolly, Karen, McAlinden, Paul, Bridgett, Victoria, Fearby, Maggie, Gulati, A., Hanson, Helen, Kelly, Sinead, McCormack, Louise, Nixon, Rachel, Robinson, Philip, Slater, Victoria, Stephenson, Elaine, Webster, Andrea, Webster, K., Hays, Carole, Hudson, Anne, Patel, Bijal, Clement, Ian, Davis, John, Francis, Sarah, Jerry, Douglas, Abernathy, Caroline, Foster, Louise, Gratrix, Andrew, Cabral-Ortega, Llucia, Hines, Matthew, Martinson, Victoria, Stones, Elizabeth, Winter, Karen, Barrow, Esther, Wylie, Katharine, Baines, Deborah, Birchall, Katie, Kolakaluri, Laurel, Clark, Richard, Sukumaran, Anila, Barker, Melanie, Paripoorani, Deborah, Smith, Lara, Taylor, Charlotte, Downes, Charlotte, Hayman, Melanie, Riches, Katie, Daniel, Priya, Subramanian, Deepak, Holding, Kathleen, Hilton, Mary, Mcdonald, Carly, Richardson, Georgina, Halladay, Georgia, Harding, Peter, Reddy, Amie, Turner-Bone, Ian, Wilding, Laura, Parker, Robert, Lloyd, Michaela, Smith, Leanne, Kelly, Charlie, Lazo, Maria, Neal, Alan, Walton, Olivia, Melville, Julie, Naisbitt, Jay, Joseph, Rosane, Callam, Sara, Hudig, Lisa, Keshet-Price, Jocelyn, Stammers, Katie, Convery, Karen, Randell, Georgina, Fottrell-gould, Deirdre, Mwaura, Esther, Sutherland, Sara-Beth, Stewart, Richard, Mew, Louise, Wren, Lynn, Thrasyvoulou, Laura, Willis, Heather, Hopkins, Bridget, Lenton, Daniel, Roberts, Abigail, Bokhari, Maria, Lucas, Rachael, McCormick, Wendy, Ritzema, Jenny, Linnett, Vanessa, Sanderson, Amanda, Wild, Helen, Flanagan, Rebecca, Hull, Robert, Rhead, Kat, McKenna, Emma, Hughes, Gareth, Anderson, Jennifer, Jones, Kelly, Latham, Scott, Riley, Heather, Coulding, Martina, Clark, Martyn, McCormick, Jacqueline, Mercer, Oliver, Potla, Darsh, Rehman, Hafiz, Savill, Heather, Turner, Victoria, Jude, Edward, Kilroy, Susan, Apetri, Elena, Basikolo, Cathrine, Catlow, Laura, Collis, Matthew, Doonan, Reece, Harvey, Alice, Knowles, Karen, Lee, Stephanie, Lomas, Diane, Lyons, Chloe, McMorrow, Liam, Michael, Angiy, Pendlebury, Jessica, Perez, Jane, Poulaka, Maria, Proudfoot, Nicola, Slevin, Kathryn, Thomas, Vicky, Walker, Danielle, Dark, Paul, Charles, Bethan, McLaughlan, Danielle, Slaughter, Melanie, Horner, Dan, Marsden, Tracy, Andrews, Joyann, Beech, Emily, Akinkugbe, Olugbenga, Bamford, Alasdair, Belfield, Holly, Jones, Gareth A. L., McHugh, Tara, Meghari, Hamza, Ray, Samiran, Tomas, Ana Luisa, O’Neill, Lauran, Peters, Mark, Bell, Michael, Benkenstein, Sarah, Chisholm, Catherine, Davies, Charlene, Kupiec, Klaudia, Payne, Caroline, Halls, Joanna, Blakemore, Hayley, Goff, Elizabeth, Hayes, Kati, Smith, Kerry, Stephens, Deanna, Worner, Ruth, Borislavova, Borislava, Faulkner, Beverley, Thomas, Matt, Cookson, Ruth, Gendall, Emma, Larman, Georgina, Pope, Rebecca, Smalira, Artur, Priestley, Victoria, Cosier, Tracey, Millen, Gemma, Rand, James, Schumacher, Natasha, Sandhar, Roxana, Weston, Heather, Richardson, Neil, Cooper, Lucy, Jones, Cathy, Huang, Ya-Wen Jessica, Jacob, Reni, Denmade, Craig, Mcintyre, Lewis, Trodd, Dawn, Martin, Jane, Watson, Geoff, Bevan, Emily, Wreybrown, Caroline, Bano, Shereen, Bellwood, Ruth, Bentley, Michael, Bromley, Matt, Gurr, Lucy, Ledgard, Camilla, McGowan, Janet, Pye, Kate, Sellick, Kirsten, Stacey, Amelia, Warren, Deborah, Wilkinson, Brian, Akeroyd, Louise, Shafique, Huma, Morgan, James, Shorter, Susan, Swinger, Rachel, Waters, Emily, Lawton, Tom, Allan, Elizabeth, Darlington, Kate, Davies, Ffyon, Davies, Llinos, Easton, Jack, Kumar, Sumit, Lean, Richard, Mackay, Callum, Pugh, Richard, Qiu, Xinyi, Rees, Stephanie, Scanlon, Jeremy, Lewis, Joanne, Menzies, Daniel, Bolger, Annette, Davies, Gwyneth, Davies, Jennifer, Garrod, Esther, Jones, Helen, Manley, Rachel, Williams, Hannah, Frankham, Jordan, Pitts, Sally, White, Nigel, Branney, Debbie, Tiller, Heather, Efford, Georgia, Garland, Zoe, Grimmer, Lisa, Gumbrill, Bethany, Johnson, Rebekah, Sweet, Katie, Bewley, Jeremy, Coleman, Christina, Corcoran, Katie, Morano, Eva Maria Hernandez, Shiel, Rachel, Webster, Denise, Bonnici, Josephine, Daniel, Eleanor, Dell, Abbie, Kent, Melanie, Wilkinson, Ami, Brown, Ellen, Kay, Andrea, Campbell, Suzanne, Cowton, Amanda, Birt, Mark, Greenaway, Vicki, Potts, Kathryn, Hutton, Clare, Shepperson, Andrew, Forsey, Miranda, Nicholson, Alice, Vertue, Mark, Riches, Joanne, Kaliappan, Agilan, Nicholson, Anne, MacCallum, Niall, Raith, Eamon, Bercades, Georgia, Hass, Ingrid, Brealey, David, Martir, Gladys, Reyes, Anna, Smyth, Deborah, Zapatamartinez, Maria, Alvaro, Ana, Jetha, Champa, Ma, Louise, Booker, Lauren, Mostoles, Loreta, Pratley, Anezka, Altabaibeh, Abdelhakim, Parmar, Chetan, Gilbert, Kayleigh, Ferguson, Susie, Shepherd, Amy, Morris, Sheila, Baruah, Rosie, Lloyd, Georgina, Bell, Stephanie, Rivers, Vanessa, Purewal, Bally, Hammerton, Kate, Anderson, Susan, Birch, Janine, Collins, Emma, Oleary, Ryan, Cornell, Sarah, Jarmain, Jordan, Rogerson, Kimberley, Wakinshaw, Fiona, Woods, Lindsey, Rostron, Anthony, Elcioglu, Zeynep, Roy, Alistair, Bell, Gillian, Dickson, Holly, Wilcox, Louise, Katary, Amro, English, Katy, Hutter, Joanne, Pawley, Corinne, Doble, Patricia, Shovelton, Charmaine, Vaida, Marius, Purnell, Rebecca, Thomas, Ashly, Cagova, Lenka, Fofano, Adama, Holcombe, Helen, Mitchell, Alice Michael, Mwaura, Lucy, Praman, KrithivasanÂ, Garnr, Lucie, Mepham, Sue, Paques, Kitty, Vuylsteke, Alain, Mackie, Jennifer, Pearn, Carmen, Zamikula, Julie, Nyirenda, Maggie, Capozzi, Lisa, Reece-Anthony, Rosie, Noor, Hazma, Nilo, Alfa Cresia, Grove, Michelle, Daniel, Amelia, Finn, Joanne, White, Nikki, Saha, Rajnish, Badal, Bibi, Ixer, Karen, Duffin, Donna, Player, Ben, Hill, Helen, Cole, Jade, Brooks, Jenny, Davies, Rhys, Hunt, Lauren, Thomas, Emma, Williams, Angharad, Oblak, Metod, Thankachen, Mini, Irisari, Jamie, Sayan, Amrinder, Popescu, Monica, Finch, Cheryl, Jamieson, Andrew, Quinn, Alison, Cooper, Joshua, Liderth, Sarah, Waddington, Natalia, Burn, Iona, Manso, Katarina, Penn, Ruth, Tebbutt, Julie, Thornton, Danielle, Winchester, James, Hambrook, Geraldine, Shanmugasundaram, Pradeep, Craig, Jayne, Simpson, Kerry, Higham, Andrew, Sibbett, Louise, Paine, Sheila, Reed, Annabel, Conyngham, Jo-Anna, Mupudzi, Mcdonald, Thomas, Rachel, Wright, Mary, Griffin, Denise, Partridge, Richard, Corral, Maria Alvarez, Muchenje, Nycola, Sitonik, Mildred, Butler, Aaron, Folkes, Linda, Fox, Heather, Gardner, Amy, Helm, David, Hobden, Gillian, King, Kirsten, Margalef, Jordi, Margarson, Michael, Martindale, Tim, Meadows, Emma, Raynard, Dana, Thirlwall, Yvette, Baird, Yolanda, Gomez, Raquel, Martin, Darren, Hodgson, Luke, Corin, Clinton, Sidall, Erikka, Szabo, Densie, Floyd, Sharon, Davies, Hannah, Austin, Karen, Kelsall, Olivia, Wood, Hannah, Cornell, Thomas, Ralph, Kate, Bean, Sarah, Burt, Karen, Spivey, Michael, Richards, Carol, Tedstone, Rachel, Carmody, Siobhain, Zhao, Xiaobei, Page, Valerie, Guanco, Mark Louie, Hoxha, Elvira, Zorloni, Camilla, Dean, Charlotte, Jones, Emma, Carter, Emma, Dunn, Joshua, Kong, Thomas, Mahenthran, Mervin, Marsh, Chris, Holland, Maureen, Keenan, Natalie, Mahmoud, Mohamed, Lyons, Marc, Wassall, Helen, Young, Meghan, Bradley, Paul, Burda, Dorota, Donlon, Sinead, Harden, Lesley, Harris, Celia, Mayangao, Irving, Montaser, Rugia, Mtuwa, Sheila, Piercy, Charles, Smith, Eleanor, Stone, Sarah, Verula, Jerik, Blackman, Helen, Marriott, Cheryl, Michalak, Natalia, Creagh-Brown, Ben, Salberg, Armorel, Boyer, Naomi, Pristopan, Veronika, Maynard, Victoria, Walker, Rachel, Hormis, Anil, Collier, Dawn, Graham, Cheryl, McCormick, Jake, Warrington, Jake, Cosgrove, Denise, McFarland, Denise, Ratcliffe, Judith, Charnock, Rob, Wynter, Inez, Gill, Mandy, Kirk, Jill, Paul, Paul, Ratnam, Valli, Shelton, Sarah, Jardine, Catherine, Hay, Alasdair, Williams, Dewi, Durga, Latha, Hibbert, Meg, Kennard-Holden, Gareth, Woodford, Chrsitopher, Tetla, Dariusz, Price, Alicia, Thomas, Alice, Thorpe, Chris, Knights, Ellen, Ward, Donna, Laha, Shondipon, Verlander, Mark, Williams, Alexandra, Prout, Rachel, Langton, Helen, Watters, Malcolm, Hunt, Charlotte, Novis, Catherine, Arif, Sarwat, Cunningham, Amy, Hewitt, Claire, Hindale, Julia, Jackson-Lawrence, Karen, Shepardson, Sarah, Wills, Maryanne, Butler, Susie, Tavares, Silivia, Barber, Russell, Hilldrith, Annette, Hubbard, Kelly, Egginton, Dawn, Clark, Michele, Purvis, Sarah, Sinclair, Simon, Collins, Vicky, Landeg, Bethan, Sell, Craig, Coetzee, Samantha, Gales, Alistair, Otahal, Igor, Icke, Becky, Raj, Meena, Williams, Caroline, Williams, Jill, Hill, Lucy, Kayani, Abdul, Masunda, Bridgett, Gondo, Prisca, Atayeva, Nigara, Cruz, Carina, Pattison, Natalie, Burnett, Caroline, Hatton, Jonathan, Heeney, Elaine, Newton, Maria, Al-Moasseb, Hassan, Behan, Teresa, Player, Jasmine, Stead, Rachael, Mitra, Atideb, Nauyokas, Kirsty, Humphreys, Sally, Cockerill, Helen, Tampsett, Ruth, Postovalova, Evgeniya, Coventry, Tina, McGregor, Amanda, Fowler, Susan, Macmahon, Mike, Cochrane, Patricia, Pirie, Sandra, Hanley, Sarah, Ali, Asifa, Brady, Megan, Dale, Sam, Dance, Annalisa, Gledhill, Lisa, Greig, Jill, Hanson, Kathryn, Holdroyd, Kelly, Home, Marie, Ishaq, Tahira, Kelly, Diane, Matapure, Lear, Melia, Deborah, Mellor, Samantha, Merwaha, Ekta, Nortcliffe, Tonicha, Shaw, Lisa, Shaw, Ryan, Wood, Tracy, Bayo, Lee-Ann, Usher, Miranda, Wilson, Alison, Kitson, Ross, Pinnell, Jez, Robinson, Matthew, Boltwood, Kaitlin, Birch, Jenny, Bough, Laura, Tutton, Rebecca, Winter-Goodwin, Barbara, Goodsell, Josie, Taylor, Kate, Williams, Patricia, Williams, Sarah, Cave, Ashleigh, Rees, James, Imeson-Wood, Janet, Smith, Jacqueline, Amin, Vishal, Karthik, Komala, Kausar, Rizwana, Anastasescu, Elena, Reid, Karen, Anumakonda, Vikram, Stoddart, Ella, Demetriou, Carrie, Eckbad, Charlotte, Howie, Lucy, Mitchard, Sarah, Ramos, Lidia, White, Katie, Hierons, Sarah, Kelly, Fiona, Serrano-Ruiz, Alfredo, Evans, Gabrielle, Nicol, Liz, Wilkins, Joy, Hulacka, Kim, Debreceni, Gabor, Brown, Alison, Crickmore, Vikki, Hill, Kay, Kannan, Thogulava, Dagutao, Zenaida, Beesley, Kate, Lewis, Alison, Perry, Jess, Antony, Sherly, Board, Sarah, Buckley, Clare, Pippard, Lucy, Tanate, Alfonso, Wood, Diane, Kubisz-Pudelko, Agnieska, Gouda, Ayman, Auld, Fiona, Donnachie, Joanne, Murdoch, Euan, Prentice, Lynn, Runciman, Nikole, Senaratne, Dhaneesha, Short, Abigail, Sweeney, Laura, Symon, Lesley, Todd, Anne, Turner, Patricia, McCann, Erin, Salutous, Dario, Edmond, Ian, Whitelaw, Lesley, Bland, Yvonne, Kajtor, Istvan, Kavanagh, Lisa, Singler, Karen, Linfield-Brown, George, Moore, Luke Stephen Prockter, Vizcaychipi, Marcela, Martins, Laura, Moore, Luke, Bull, Rhian, Carungcong, Jaime, Allen, Louise, Beranova, Eva, Knight, Alicia, Price, Carly, Tilbey, Sorrell, Turney, Sharon, Hazelton, Tracy, Tutt, Gabriella, Arora, Mansi, Turki, Salah, Sinfield, Emily, Deery, Joanne, Ramos, Hazel, Cristiano, Daniele, Dormand, Natalie, Farzad, Zohreh, Gummadi, Mahitha, Salmi, Sara, Sloane, Geraldine, Varghese, Mathew, Thwaites, Vicky, Patel, Brijesh, Kamal, Liyanage, Zborowski, Anelise Catelan, Coe, Ryan, Anderson, Madeleine, Beadle, Jane, Coates, Charlotte, Collins, Katy, Crowley, Maria, Johnson, Laura, King, Laura, Paramsothy, Remi, Sargeant, Janet, Silva, Pedro, Stuart, Carmel, Taylor, June, Tyl, David, Wakefield, Phillipa, Kamundi, Charlotte, Olufuwa, Olumide, Belagodu, Zakaulla, Gherman, Anca, Oakley, Naomi, Allan, John, Geary, Tim, Meikle, Alistair, O’Brien, Peter, Wood, Stephen, Clark, Andrew, Houston, Gordon, Black, Karen, Clarkson, Michelle, D’Sylva, Stuart, Morrison, Alan, Norman, Kathryn, Taylor, Margaret, Clements, Suzanne, Cohrane, Catriona, Gonzalez, Nora, Strachan, Dominic, Beith, Claire, Moar, Kirsten, Anderson, Peter, Archer, Katie, Burtenshaw, Andrew, Clayton, Sarah, Cother, Naiara, Cowley, Nicholas, Davis, Caroline, Digby, Stephen, Durie, Alison, Harrison, Alison, Low, Emma, McAlindon, Michael, McCurdy, Alex, Morgan, Aled, Rankin, Tobias, Thrush, Jessica, Tranter, Helen, Vigurs, Charlie, Wild, Laura, Murphy, Lorna, Smythe, Michelle, Brickell, Kathy, Ali, Inthakab Ali Mohamed, Beaumont, Karen, Elsaadany, Mohamed, Fernandes, Kay, Ally, Sameena Mohamed, Rangarajan, Harini, Sarathy, Varun, Selvanayagam, Sivarupan, Vedage, Dave, White, Matthew, Coton, Zoe, Joshy, Aricsa, Blunt, Mark, Curgenven, Hollie, Botfield, Liam, Dexter, Catherine, Kuravi, Aditya, Butler, Joanne, Chadwick, Robert, Ranga, Poonam, Richardson, Lisa, Virgilio, Emma, Anwer, Maddiha, Garg, Atul, Botfield, Donna, Marriott, Xana, Stewart, Keely, Mullan, Dee, Gaylard, Jane, Nowak, Justyna, Jones, Sian, Crawley, Rikki, Crew, Abigail, Cunningham, Mishell, Daniels, Allison, Harrison, Laura, Hope, Susan, Lancaster, Nicola, Matthews, Jamie, Wray, Gemma, Inweregbu, Ken, Cutts, Sarah, Miller, Katharine, Brady, Ailbhe, Chan, Rebekah, McIvor, Shane, Prady, Helena, Mathew, Bijoy, Little, Jeff, Furniss, Tim, Wright, Chris, King, Bernadette, Wasson, Christopher, O’Neill, Aisling, Turley, Christine, McGuigan, Peter, Collins, Erin, Finn, Stephanie, Green, Jackie, McAuley, Julie, Nair, Abitha, Quinn, Charlotte, Tauro, Suzanne, Ward, Kathryn, McGinlay, Michael, Reddy, Kiran, Ahmad, Norfaizan, Anderson, Samantha, Barker, Joann, Bauchmuller, Kris, Birchall, Kathryn, Bird, Sarah, Cawthron, Kay, Chetam, Luke, Cole, Joby, Donne, Ben, Foote, David, Ford, Amber, Hanratty, Helena, Harrington, Kate, Hesseldon, Lisa, Housley, Kay, Jackson, Yvonne, Jarman, Claire, Kibutu, Faith, Lenagh, Becky, Macharia, Irene, Masuko, Shamiso, Milner, Leanne, Newell, Helen, Nwafor, Lorenza, Oxspring, Simon, Phillips, Patrick, Raithatha, Ajay, Rowland-Jones, Sarah, Smith, Jacqui, Thompson, Roger, Trower, Helen, Walker, Sara, Watson, James, Wiles, Matthew, Lye, Alison, Willson, Jayne, Mills, Gary, Harris, Sansha, Hartill, Eleanor, Barron, Anthony, Collins, Ciara, Kaul, Sundeep, Nolan, Claire, Polgar, Oliver, Prendergast, Claire, Rogers, Paula, Shokkar, Rajvinder, Woodruff, Meriel, Mahay, Kanta, Reed, Anna, Meyrick, Hayley, Passmore, Heather, Farwell, James, O’Connell, Susan, Gregory, Jane, Barberis, Luigi, Harper, Rosemary, Smith, Tim, Armstrong, Diane, Bowey, Angie, Cowley, Anne, Corner, Andrew, Highgate, Judith, Rutherfurd, Claire, Taylor, Jo-Anne, Goodwin, Sarah, Eapen, Beena, Trim, Fiona, Donnison, Phil, Armstrong, Lisa, Bates, Hayley, Dooks, Emma, Farquhar, Fiona, Kitching, Amy, McParland, Chantal, Packham, Sophie, Hairsine, Brigid, Andreou, Premetie, Hales, Dawn, Mathews, Megha, Patel, Rekha, Barry, Peter, Flint, Neil, Hailstone, Jessica, Ghuman, Navneet, Leonard, Bethany, Lees, Rachel, Butcher, Deborah, Leng, Katy, Butterworth-Cowin, Nicola, O’Sullivan, Susie, Ghosh, Alison, Williams, Emma, Adams, Colene, Agasou, Anita, Arden, Tracie, Beekes, Mandy, Bowes, Amy, Boyle, Pauline, Button, Heather, Carnahan, Mandy, Carter, Anne, Childs, Danielle, Hurford, Fran, Hussain, Yasmin, Javaid, Ayesha, Jones, James, Leigh, Michael, Martin, Terry, Millward, Helen, Motherwell, Nichola, Newman, Julie, Rikunenko, Rachel, Stickley, Jo, Summers, Julie, Ting, Louise, Tivenan, Helen, Donaldson, Denise, Capps, Nigel, Cale, Emily, Jose, Sanal, Osbourne, Wendy, Pajak, Susie, Rankin, Jayne, Tonks, Louise, Baird, Tracy, Harkins, Margaret, Ruddy, Jim, West, Joe, Duffield, Joseph, Mallon, Lewis, Smith, Oliver, Smuts, Sara, Campbell, Andy, Davies, Cate, Davies, Sarah, Hughes, Rachel, Jobes, Lisa, Whitehead, Victoria, Watkins, Clare, Bowman, Fiona, Milligan, Barry, McPherson, Liane, Metherell, Stella, Harris, Nichola, Lake, Victoria, Radford, Elizabeth, Smallwood, Andy, Gopal, Shameer, Vassell, Katherine, Bell, Dina, Boyle, Rosalind, Douglas, Katie, Glass, Lynn, Lennon, Liz, Rattray, Austin, Lee, Emma, Jones, Danielle, Parsons, Penny, Attwood, Ben, Jefferson, Paul, Ranganathan, Mohan, Atwal, Inderjit, Campbell, Bridget, Day, Angela, Stagg, Camilla, Haynes, Emma, Ahmed, Cecilia, Clamp, Sarah, Colley, Julie, Haq, Risna, Hayes, Anne, Joseph, Sibet, Maqsood, Zahira, Hussain, Samia, Hulme, Jonathan, Domingos, Patience, Kumar, Rita, Purewal, Manjit, Taylor, Becky, Bunni, Lara, Latif, Monica, Jennings, Claire, Jose, Shilu, Marshall, Rebecca, Metryka, Aleksandra, Subramanian, Gayathri, Burgoyne, Adam, Tyler, Amanda, Waldron, Joanne, Hilltout, Paula, Evitts, Jayne, Ward, Geraldine, Bremmer, Pamela, Hawkins, Carl, Jackman, Sophie, Ogorek, Michal, Ashby, Kylie, Thornton, Lorraine, Mercer, Pauline, Halkes, Matthew, Revill, Adam, Saint, Bryony, Fletcher, Jo, Netherton, Kimberley, Chablani, Manish, Kirkby, Amy, Roper, Amanda, Szymiczek, Kinga, Sutherland, Isobel, O’Brien, Linda, Connell, Joanne, Davies, Kim, Lewis, Tracy, Omar, Zohra, Perkins, Emma, Sathe, Sonia, Davies, Ellie, Lyon, Alex, Mapfunde, Isheunesu, Willis, Charlotte, Hitchcock, Rachael, Hall, Kathryn, King, Christopher, Fagan, Andrew, Nazari, Roonak, Worsley, Lucy, Allibone, Suzanne, Kasipandian, Vidya, Patel, Amit, Cutting, Parisa, Genetu, Roman, Mac, Ainhi, Murphy, Anthony, Ward, Sinead, Butt, Fatima, Ayers, Amanda, Harrison, Wendy, Mackintosh, Katherine, North, Julie, Ashton, Lydia, Bi, Rehana, Owen, Samantha, Winmill, Helen, Scholefield, Barney, Blowing, Hannah, Williams, Erin, Duskova, Michaela, Edwards, Michelle, Rees, Alun, Thomas, Helen, Brooks, Jolene, Phipps, Janet, Brooks, Suzanne, Dennis, Catherine, Parris, Vicki, Srikaran, Sinduya, Sukha, Anisha, McGregor, Alistair, Tiongson, Gerlynn, Adams, Katie, Andrew, Benedict, Brayne, Adam, Carter, Sasha, Findlay, Louise, Fisher, Emma, Jackson, Peter, Kaye, Duncan, Parkin, Juliet, Tuckey, Victoria, Hunt, Jane, Love, Nicholas, van Koutrick, Lynne, Hanson, Ashley, Dent, Kathy, Horsley, Elizabeth, Pearson, Sandra, Spencer, Sue, Hutchinson, Dorothy, Potoczna, Dorota, Akhtar, Muhammad Nauman, Cottam, Lisa-Jayne, Sanders, Jack, Garcia, Sara Mingo, pakou, Glykeria, Filipe, Helder, Maharajh, Amitaa, de Neef, Mark, Martin, Daniel, Eastgate, Christine, Teoh, Poh Choo, Barrett, Fiona, Bradley, Clare, Donaldson, Avril, Mascarenhas, Mairi, O’Hara, Marianne, Okeefe, Laura, Clarke, Noreen, Whiteside, Jonathan, Campbell, Rachael, Matheson, Joanna, McDonald, Deborah, Patience, Donna, Rice, Polly, Clapham, Melanie, Mutch, Rachel, Craig, Hannah, Poultney, Una, Burns, Karen, Twiss, Sophie, Barton, Janet, George, Linsha, Harrop, Clare, Mathew, Sherly, Wright, David Justin, Harrison, Rachel, Toohie, Jordan, Chandler, Ben, Turnbull, Alison, Mallinson, Janine, Elliott, Kerry, Wolf-Roberts, Rebecca, Tench, Helen, Hobrok, Maria, Loosley, Ronda, McGuinness, Heather, Sims, Tanya, Afolabi, Deborah, Allison, Kathryn Sian, Anderson, Taya, Dore, Rachael, Jones, Dawn, Rogers, Naomi, Saunderson, Paula, Whitbread, Jennifer, O’Malley, Laura, Rad, Laura, Hawcutt, Daniel, Aldridge, Jonathan, Tolson, Melanie, Garrioch, Sweyn, Tomlinson, Joanne, Grosdenier, Michael, Loader, David, Kapoor, Ritoo, Hector, Gemma, Scherewode, Joslan, Sri-Chandana, Chunda, Stephenson, Lorraine, Marsh, Sarah, Rosa, Arnold Dela, Jhanji, Shaman, Bemand, Thomas, Howle, Ryan, Baikady, Ravishankar Rao, Thomas, Benjamin, Black, Ethel, Tatham, Kate, Gurram, Sambasivarao, Watson, Ekaterina, Quaid, Sheena, Saunderson, Anne, O’Brien, Rachel, Moultrie, Sam, Service, Jen, Cheyne, Clare, Odam, Miranda, Wiliams, Alison, Barnes, Nicky, Csabi, Peter, Rocha, Joana Da, Glynou, Louika, Huffenberger, Amy, Bryant, Jade, Pickard, Amy, Roe, Nicholas, Bellini, Arianna, Mayer, Anton, Burrow, Amy, Colley, Natalie, Evans, Jayne, Howlett, Alex, Khalifeh, Zeinab, Pryce, Jerldine, Gorman, Claire, Brady, Rebecca, Timlick, Elizabeth, Antoine, Pierre, Gupta, Abhinhav, Hardy, John, Houlden, Henry, Moncur, Eleanor, Tucci, Arianna, Tariq, Ambreen, Tagliavini, Emma, Ramsay, Becky, Fidler, Katy, Donnelly, Kevin, Hollis, Rebecca, Barr, Jocelyn, Boyd, Elizabeth, Irvine, Val, Shelley, Ben, Buckley, Julie, Hamilton, Charlene, Valdeavella, Kathryn, Bircham, Sarah, Liggett, Steven, Patil, Anand, Siddiq, Afshan, Goddard, Peter, Donovan, Sally, Zainy, Tala, Maleady-Crowe, Fiona, Todd, Linda, Salehi, Shahla, Elgar, Greg, Chan, Georgia, Arumugam, Prabhu, Patch, Christine, Rendon, Augusto, Bentley, David, Kingsley, Clare, Fowler, Tom A., Elliott, Paul, Tenesa, Albert, Aitkin, Emma, Aravindan, Latha, Armstrong, Ruth, Biggs, Heather, Boz, Ceilia, Brown, Adam, Chikowore, Primmy, Coutts, Audrey, Coyle, Judy, Cullum, Louise, Das, Sukamal, Day, Nicky, Donnelly, Lorna, Duncan, Esther, Finernan, Paul, Fourman, Max Head, Furlong, Anita, Furniss, James, Gallagher, Bernadette, Gilchrist, Tammy, Golightly, Ailsa, Hafezi, Katarzyna, Hamilton, Debbie, Hendry, Ross, Kearns, Naomi, Law, Dawn, Law, Rachel, Law, Sarah, Lidstone-Scott, Rebecca, Lauder, Christen, Macgillivray, Louise, Maclean, Alan, Mal, Hanning, McCafferty, Sarah, Mcmaster, Ellie, Meikle, Jen, Moore, Shona C., Murphy, Sheena, Mybaya, Hellen, Oosthuyzen, Wilna, Zheng, Chenqing, Chen, Jiantao, Paterson, Trevor, Tucker, Petra, Schon, Katherine, Stenhouse, Andrew, Das, Mihaela, Swets, Maaike, Szoor-McElhinney, Helen, Taneski, Filip, Turtle, Lance, Wackett, Tony, Ward, Mairi, Weaver, Jane, Wrobel, Nicola, Rakitko, Alexander, Ilinsky, Valery, Yermakovich, Danat, Popov, Iaroslav, Chernitsov, Alexander, Kovalenko, Elena, Vergasova, Ekaterina, Prokhorov, Alexandr, Krasnenko, Anna, Plotnikov, Nikolay, Stetsenko, Ivan, Kim, Anna, Cirulli, Elizabeth T., Schiabor Barrett, Kelly M., Bolze, Alexandre, White, Simon, Washington, Nicole L., Lu, James T., Riffle, Stephen, Tanudjaja, Francisco, Wang, Xueqing, Ramirez, Jimmy M., Leonetti, Nicole, Sandoval, Efren, Neveux, Iva, Dabe, Shaun, Grzymski, Joseph J., Joshi, Madhvi N., Dixit, Raghav D., Shah, Pranay K., Upadhyay, Kamlesh J., Chuhan, Naresh T., Desai, Kairavi J., Shah, Meenakshi R., Modi, Bhavesh, Joshi, Chaitanya G., Pandit, Ramesh J., Singh, Indra, Ansari, Afzal I., Raval, Janvi N., Patel, Zarna Z., Moreno-Estrada, Andres, Vázquez-Pérez, Joel Armando, Castillejos-López, Manuel, Aquino-Gálvez, Arnoldo, Shamah-Levy, Teresa, Ávila-Arcos, María C., Luna, María Teresa Tusié, Hidalgo-Miranda, Alfredo, Barberena-Jonas, Carmina, Quinto-Cortés, Consuelo D., Ávila-Arcos, Marco Antonio, Huerta-Chagoya, Alicia, García-García, Lourdes, Barnetche, Jesús Martinez, Alpuche-Aranda, Celia, Rivera, Juan A., Gutiérrez, Tonatiuh Barrientos, Ochoa-Guzmán, Ana, Ordoñez-Sánchez, Maria Luisa, Segura-Kato, Yayoi, Herrera-Montalvo, Luis Alonso, Mendoza-Vargas, Alfredo, Reyes-Grajeda, Juan Pablo, Cruz-Cruz, Alonso D., Velázquez-Cruz, Rafael, Torres-Espíndola, Luz María, Sierra-Vargas, Martha Patricia, Camarena, Angel, Ruiz, Víctor, Chávez-Alderete, Jaime, Jaime-Capetillo, María Esther, Guadarrama-Pérez, Cristóbal, Zúñiga-Ramos, Joaquin, Olivera-Ramírez, Alejandra, Martínez, Miguel Angel López, Serna-Muñoz, Ricardo, Garmendia, Adriana, Namkoong, Ho, Okada, Yukinori, Imoto, Seiya, Katayama, Kazuhiko, Fukunaga, Koichi, Kitagawa, Yuko, Sato, Toshiro, Hasegawa, Naoki, Kumanogoh, Atsushi, Kimura, Akinori, Ai, Masumi, Tokunaga, Katsushi, Kanai, Takanori, Miyano, Satoru, Ogawa, Seishi, Edahiro, Ryuya, Sonehara, Kyuto, Shirai, Yuya, Ishii, Makoto, Kabata, Hiroki, Masaki, Katsunori, Kamata, Hirofumi, Ikemura, Shinnosuke, Chubachi, Shotaro, Okamori, Satoshi, Terai, Hideki, Tanaka, Hiromu, Morita, Atsuho, Lee, Ho, Asakura, Takanori, Sasaki, Junichi, Morisaki, Hiroshi, Uwamino, Yoshifumi, Nanki, Kosaku, Mikami, Yohei, Tomono, Kazunori, Kato, Kazuto, Matsuda, Fumihiko, Takahashi, Meiko, Hizawa, Nobuyuki, Takeda, Yoshito, Hirata, Haruhiko, Shiroyama, Takayuki, Miyawaki, Satoru, Suzuki, Ken, Maeda, Yuichi, Nii, Takuro, Noda, Yoshimi, Niitsu, Takayuki, Adachi, Yuichi, Enomoto, Takatoshi, Amiya, Saori, Hara, Reina, Takahashi, Kunihiko, Anzai, Tatsuhiko, Hasegawa, Takanori, Ito, Satoshi, Koike, Ryuji, Endo, Akifumi, Uchimura, Yuji, Miyazaki, Yasunari, Honda, Takayuki, Tateishi, Tomoya, Tohda, Shuji, Ichimura, Naoya, Sonobe, Kazunari, Sassa, Chihiro, Nakajima, Jun, Nannya, Yasuhito, Omae, Yosuke, Takahashi, Kazuhisa, Harada, Norihiro, Hiki, Makoto, Takagi, Haruhi, Nakamura, Ai, Tagaya, Etsuko, Kawana, Masatoshi, Arimura, Ken, Ishiguro, Takashi, Takayanagi, Noboru, Isono, Taisuke, Takaku, Yotaro, Takano, Kenji, Anan, Ryusuke, Nakajima, Yukiko, Nakano, Yasushi, Nishio, Kazumi, Ueda, Soichiro, Hayashi, Reina, Tateno, Hiroki, Hase, Isano, Yoshida, Shuichi, Suzuki, Shoji, Mitamura, Keiko, Saito, Fumitake, Ueda, Tetsuya, Azuma, Masanori, Nagasaki, Tadao, Yasui, Yoshinori, Hasegawa, Yoshinori, Mutoh, Yoshikazu, Yoshiyama, Takashi, Shoko, Tomohisa, Kojima, Mitsuaki, Adachi, Tomohiro, Ishikawa, Motonao, Takahashi, Kenichiro, Watanabe, Kazuyoshi, Manabe, Tadashi, Ito, Fumimaro, Fukui, Takahiro, Funatsu, Yohei, Koh, Hidefumi, Hirai, Yoshihiro, Kawashima, Hidetoshi, Narita, Atsuya, Niwa, Kazuki, Sekikawa, Yoshiyuki, Saito, Fukuki, Yoshiya, Kazuhisa, Yoshihara, Tomoyuki, Suzuki, Yusuke, Nakayama, Sohei, Masuzawa, Keita, Nishi, Koichi, Nishitsuji, Masaru, Tani, Maiko, Inoue, Takashi, Hirano, Toshiyuki, Kobayashi, Keigo, Miyazawa, Naoki, Kimura, Yasuhiro, Sado, Reiko, Ogura, Takashi, Kitamura, Hideya, Murohashi, Kota, Nakachi, Ichiro, Baba, Rie, Arai, Daisuke, Fuke, Satoshi, Saito, Hiroshi, Kuwahara, Naota, Fujiwara, Akiko, Okada, Takenori, Baba, Tomoya, Noda, Junya, Mashimo, Shuko, Yagi, Kazuma, Shiomi, Tetsuya, Hashiguchi, Mizuha, Odani, Toshio, Mochimaru, Takao, Oyamada, Yoshitaka, Mori, Nobuaki, Izumi, Namiki, Nagata, Kaoru, Taki, Reiko, Murakami, Koji, Yamada, Mitsuhiro, Sugiura, Hisatoshi, Hayashi, Kentaro, Shimizu, Tetsuo, Gon, Yasuhiro, Fujitani, Shigeki, Tsuchida, Tomoya, Yoshida, Toru, Kagaya, Takashi, Kita, Toshiyuki, Sakagami, Satoru, Kimizuka, Yoshifumi, Kawana, Akihiko, Nakamura, Yoshihiko, Ishikura, Hiroyasu, Takata, Tohru, Kikuchi, Takahide, Taniyama, Daisuke, Nakamura, Morio, Kodama, Nobuhiro, Kaneyama, Yasunari, Maeda, Shunsuke, Nagasaki, Yoji, Okamoto, Masaki, Ishihara, Sayoko, Ito, Akihiro, Chihara, Yusuke, Takeuchi, Mayumi, Onoi, Keisuke, Hashimoto, Naozumi, Wakahara, Keiko, Ando, Akira, Masuda, Makoto, Wakabayashi, Aya, Watanabe, Hiroki, Sageshima, Hisako, Nakada, Taka-Aki, Abe, Ryuzo, Shimada, Tadanaga, Kawamura, Kodai, Ichikado, Kazuya, Nishiyama, Kenta, Yamasaki, Masaki, Hashimoto, Satoru, Kusaka, Yu, Ohba, Takehiko, Isogai, Susumu, Takada, Minoru, Kanda, Hidenori, Komase, Yuko, Sano, Fumiaki, Asano, Koichiro, Oguma, Tsuyoshi, Harada, Masahiro, Takahashi, Takeshi, Shibusawa, Takayuki, Abe, Shinji, Kono, Yuta, Togashi, Yuki, Izumo, Takehiro, Inomata, Minoru, Awano, Nobuyasu, Ogawa, Shinichi, Ogata, Tomouki, Ishihara, Shoichiro, Kanehiro, Arihiko, Ozaki, Shinji, Fuchimoto, Yasuko, Kitagawa, Yuichiro, Yoshida, Shozo, Ogura, Shinji, Nishiyama, Kei, Yoshida, Kousuke, Beppu, Satoru, Fukuyama, Satoru, Eriguchi, Yoshihiro, Yonekawa, Akiko, Inoue, Yoshiaki, Yamagata, Kunihiro, Chiba, Shigeru, Narumoto, Osamu, Nagai, Hideaki, Ooshima, Nobuharu, Motegi, Mitsuru, Sagara, Hironori, Tanaka, Akihiko, Ohta, Shin, Shibata, Yoko, Tanino, Yoshinori, Sato, Yuki, Yamada, Yuichiro, Hashino, Takuya, Shinoki, Masato, Iwagoe, Hajime, Imamura, Tomonori, Umeda, Akira, Shimada, Hisato, Endo, Mayu, Hayashi, Shinichi, Takahashi, Mai, Nakano, Shigefumi, Yatomi, Masakiyo, Maeno, Toshitaka, Ishii, Tomoo, Utsugi, Mitsuyoshi, Ono, Akihiro, Kanaoka, Kensuke, Ihara, Shoichi, Komuta, Kiyoshi, Nishida, Nao, Kawai, Yosuke, Sugiyama, Masaya, Alawneh, Laith M., Maswadeh, Kinda B., Alsoub, Fatima S., AlRawashdeh, Tala J., Esawi, Ezaldeen, Abu Alragheb, Bayan O., Maswadeh, Ahmad B., Al-Kadash, Abdulfattah, Al-Ani, Abdallah, Alsafadi, Dana B., Shahin, Mohammad A., Qtaish, Nuseibah Al, Alawneh, Fade M., Abulail, Joseph A., Zhlawi, Hadi J., Alhousani, Tasneem N., Alzuraiqi, Mohammad R., Al-Ja’afreh, Mohammad M., Allouzy, Sara K., ALjalamdeh, Mothafer, Mansour, Tareq M., Alamer, Lina M., Issa, Ali Banni, Bani younis, Fatima M., Hawari, Feras I., Hayajneh, Wail A., Obeidat, Nathir M., Ahram, Mamoun, Zhlawi, Moh’d Wahib J., Alshaer, Walhan, Al-Kasasbeh, Malak M., Naffa, Randa G., Ismail, Mohammad A., Abdullah, Mohammed S., Ismail, Said I., Obeidat, Ma’en, Hernández Cordero, Ana I., Sin, Don D., Bossé, Yohan, Joubert, Philippe, Hao, Ke, Nickle, David, Timens, Wim, van den Berge, Maarten, Feng, Yen-Chen Anne, Mercader, Josep, Weiss, Scott T., Karlson, Elizabeth W., Smoller, Jordan W., Murphy, Shawn N., Meigs, James B., Woolley, Ann E., Green, Robert C., Mandla, Ravi, Schroeder, Philip, Perez, Emma F., Lee, Seung Hyuk T., Flores-Silva, Fernando Daniel, Chiquete, Erwin, Cantú-Brito, Carlos, Sifuentes-Osornio, José, de León-Garduño, Alfredo Ponce, Román-Montes, Carla Marina, Chávez-Manzanera, Emma, Velasco, Donaji Gómez, Martagón-Rosado, Alexandro, Cruz-Bautista, Ivette, Gómez-Pérez, Francisco Javier, Díaz-Olavarrieta, Claudia, Valdés, Paloma Almeda, Muñóz-Hernández, Linda Liliana, Mehta, Roopa Pravin, Elías-López, Daniel, Tusié-Luna, Teresa, Pajukanta, Päivi, Sukhatme, Mihir G., Moreno-Macías, Hortensia, Ruth, Johnson, González-Behn-Eschenburg, Sebastián, García-Grimshaw, Miguel, Guillen-Pineda, Luz Elizabeth, de los Ángeles Vargas-Martínez, María, Rodríguez, Maribel, Rodríguez-Guillén, Rosario, Ordoñez, María Luisa, Rajme-López, Sandra, González-Lara, María Fernanda, Luna-Moreno, Dalia, de Jesús Suárez López, Jannet, Guillén-Quintero, Daniela Mariel, Vega, Juan, Duran-Coyote, Salvador, Guerra-García, María Teresa, Durán-Gómez, Michelle, Vigueras-Hernández, Alma, Ramírez-Jiménez, Marco Eduardo, Grajeda-González, Samara Lissete, Ramos-Galicia, Enrique Manuel, Ramírez-Carrillo, Martha Fernanda, Fernandez-Ruiz, Juan, Chirino-Pérez, Amanda, Romero-Molina, Ángel Omar, Zavaleta, David Alejandro Fuentes, Jaramillo, María Andrea Mac Donald, López, Katia Jarely Prieto, Incontri-Abraham, Diego, Rosado, Wendy Natalia, Catalán, María Alonso, Aguilar, Sonia Evelyn Vital, Zamudio, Ileana Paola Montero, Ruíz-Ruíz, Eduardo, de Jesús Carrera García, Kevin, Guerrero, Cristina Villarreal, Martínez, Ana Isabel Rodríguez, Moscoso-Sánchez, Rogelio, del Consuelo Rodríguez Mancilla, María, Villa, Antonio, Luna-Ramírez, Samuel Alejandro, Hernández-Hernández, Sergio, Frias, Erika, Campos, Alejandro, Morales-Sosa, Paola Alessandra, Toxqui-Merchant, Luis Enrique, García, Karla, Pasaniuc, Bogdan, Butte, Manish J., Geschwind, Daniel H., Aguilar-Salinas, Carlos A., Heidecker, Bettina, Kurth, Florian, Sander, Leif E., Skurk, Carsten, Landmesser, Ulf, Karadeniz, Zehra, Wang, Xiaomin, Poller, Wolfgang, Suwalski, Phillip, Ripke, Stephan, Braun, Alice, Kraft, Julia, Mayer, Alena, Lippert, Lena J., Helbig, Elisa T., Thibeault, Charlotte, Awasthi, Swapnil, Mbarek, Hamdi, Saad, Chadi, Al-Sarraj, Yaser, Badji, Radja Messai, Al-Muftah, Wadha, Thani, Asma Al, Afifi, Nahla, Sadiq, Fouzia, Khan, Mohammad I., Bhutta, Muhammad J., Khan, Hania, Khan, Madeeha, Ain, Quratul, Junaid, Ayesha, Khan, Ejaz A., Sypniewski, Mateusz, Lejman, Adrian, Zawadzki, Paweł, Sztromwasser, Paweł, Król, Zbigniew, Dobosz, Paula, Stojak, Joanna, Flores, Carlos, Carracedo, Ángel, Aguilar, Carlos, Arranz, María J., Baptista-Rosas, Raúl C., Bezerra, Joao F., Bezerra, Marcos A. C., Brugada, Ramón, Bustos, Matilde, Castano, Luis, Conde-Vicente, Rosa, Cordero-Lorenzana, M. Lourdes, De Martino-Rodríguez, Alba, Domínguez-Garrido, Elena, Fariñas, María Carmen, Gil-Fournier, Belén, Herrero, María José, Lattig, María Claudia, Martín-López, Caridad, Martín, Vicente, Martinez-Nieto, Oscar, Martinez-Lopez, Iciar, Mazzeu, Juliana F., Macías, Eleuterio Merayo, Cuerda, Victor Moreno, Silbiger, Vivian N., Oliveira, Silviene F., Parellada, Mara, Santos, Ney P. C., Pérez-Matute, Patricia, Perez, Patricia, Perucho, Teresa, Porras-Hurtado, Gloria L., Pujol, Aurora, Fernández-Rodríguez, Amanda, Jimenez-Sousa, María A., Rodríguez-Ruiz, Emilio, Rodriguez-Artalejo, Fernando, Rodriguez-Garcia, José A., Ruiz-Cabello, Francisco, Soria, José Manuel, Tamayo, Eduardo, Teper, Alejandro, Torres-Tobar, Lilian, Urioste, Miguel, Yáñez, Zuleima, Zarate, Ruth, Guillen-Navarro, Encarna, Ayuso, Carmen, González-Neira, Anna, Riancho, José A., Rojas-Martinez, Augusto, Lapunzina, Pablo, Cruz, Raquel, Diz-de Almeida, Silvia, Ceballos, Francisco C., Lorenzo-Salazar, José M., González-Montelongo, Rafaela, Quintela, Inés, Pita, Guillermo, Gago-Domínguez, Manuela, Porras, Marta Sevilla, Tenorio-Castaño, Jair Antonio, Nevado, Julian, Aguado, Jose María, Aguilera-Albesa, Sergio, Almadana, Virginia, Almoguera, Berta, Alvarez, Nuria, Andreu-Bernabeu, Álvaro, Arango, Celso, Artiga, Maria-Jesus, Barreda-Sánchez, María, Belhassen-Garcia, Moncef, Boix-Palop, Lucía, Brion, María, Carbonell, Cristina, Castelao, Jose E., Cortes-Sanchez, Jose L., Corton, Marta, Darnaude, M. Teresa, del Campo-Pérez, Victor, de Bustamante, Aranzazu Diaz, Luchessi, Andre D., Eiros, Rocío, Sanabria, Gladys Mercedes Estigarribia, Fernández-Robelo, Uxía, Fernández-Villa, Tania, Gómez-Arrue, Javier, Álvarez, Beatriz González, de Quirós, Fernan Gonzalez Bernaldo, González-Peñas, Javier, Gutiérrez-Bautista, Juan F., Herrero-Gonzalez, Antonio, Borja, Anabel Liger, Lopez-Rodriguez, Rosario, Mancebo, Esther, Martinez-Resendez, Michel F., Martinez-Perez, Angel, Minguez, Pablo, Ortega-Paino, Eva, Paz-Artal, Estela, Pérez-Tomás, M. Elena, Pinsach-Abuin, Mel·lina, Pompa-Mera, Ericka N., León, Soraya Ramiro, Resino, Salvador, Fernandes, Marianne R., Ruiz-Hornillos, Javier, Ryan, Pablo, Souto, Juan Carlos, Tamayo-Velasco, Alvaro, Taracido-Fernandez, Juan Carlos, Valencia-Ramos, Juan, de Heredia, Miguel López, Pedersen, Ole B., Erikstrup, Christian, Ostrowski, Sisse R., Stefansson, Kari, Mikkelsen, Susan, Sørensen, Erik, Burgos, Celia, Andersen, Steffen, Brugdorf, Kristoffer, Hansen, Thomas F., Hjalgrim, Henrik, Jemec, Gregor B., Nyegaard, Mette, Werge, Thomas, Johansson, Pär I., Didriksen, Maria, Schwinn, Michael, Jacobsen, Rikke L., Hindhede, Lotte, Rostgaard, Klaus, Gudbjartsson, Daniel, Stefánsson, Hreinn, Þorsteinsdóttir, Unnur, Nielsen, Kaspar R., Bruun, Mie Topholm, Dinh, Khoa M., Larsen, Margit A. H., Sækmose, Susanne G., Zeberg, Hugo, Nkambul, Lindo, Frithiof, Robert, Hultström, Michael, Lipcsey, Miklos, Tardif, Nicolas, Rooyackers, Olav, Grip, Jonathan, Maricic, Tomislav, Heid, Iris M., Wagner, Ralf, Überla, Klaus, Winkler, Thomas W., Wiegrebe, Simon, Gorski, Mathias, Stark, Klaus J., Peterhoff, David, Einhauser, Sebastian, Niller, Hans-Helmut, Beileke, Stephanie, Johnson, Ruth, Freimer, Nelson, Ding, Yi, Chiu, Alec, Chang, Timothy S., Boutros, Paul, Karczewski, Konrad J., Martin, Alicia R., Wilson, Daniel J., Spencer, Chris C. A., Crook, Derrick W., Wyllie, David H., O’Connell, Anne Marie, Atkinson, Elizabeth G., Tsuo, Kristin, Baya, Nikolas, Turley, Patrick, Gupta, Rahul, Walters, Raymond K., Palmer, Duncan S., Sarma, Gopal, Solomonson, Matthew, Cheng, Nathan, Lu, Wenhan, Churchhouse, Claire, Goldstein, Jacqueline I., King, Daniel, Zhou, Wei, Seed, Cotton, Daly, Mark J., Finucane, Hilary, Bryant, Sam, Satterstrom, F. Kyle, Band, Gavin, Earle, Sarah G., Lin, Shang-Kuan, Arning, Nicolas, Koelling, Nils, Armstrong, Jacob, Rudkin, Justine K., Callier, Shawneequa, Cusick, Caroline, Fernandez-Cadenas, Israel, Planas, Anna M., Perez-Tur, Jordi, Llucià-Carol, Laia, Cullell, Natalia, Muiño, Elena, Cárcel-Márquez, Jara, DeDiego, Marta L., Iglesias, Lara Lloret, Soriano, Alex, Rico, Veronica, Agüero, Daiana, Bedini, Josep L., Lozano, Francisco, Domingo, Carlos, Robles, Veronica, Ruiz-Jaén, Francisca, Márquez, Leonardo, Gomez, Juan, Coto, Eliecer, Albaiceta, Guillermo M., García-Clemente, Marta, Dalmau, David, Arranz, Maria J., Dietl, Beatriz, Serra-Llovich, Alex, Soler-Palacin, Pere, Colobran, Roger, Martin-Nalda, Andrea, Parra-Martínez, Alba, Bernardo, David, Rojo, Silvia, Fiz-López, Aida, Arribas-Rodriguez, Elisa, Cal-Sabater, Paloma, Segura, Tomás, González-Villar, Esther, Serrano-Heras, Gemma, Martí-Fàbregas, Joan, Jiménez-Xarrié, Elena, de Felipe Mimbrera, Alicia, Masjuan, Jaime, García-Madrona, Sebastian, Domínguez-Mayoral, Anna, Villalonga, Joan Montaner, Menéndez-Valladares, Paloma, Kanai, M, Andrews, S, Cordioli, M, Stevens, C, Neale, B, Daly, M, Ganna, A, Pathak, G, Iwasaki, A, Karjalainen, J, Mehtonen, J, Pirinen, M, Chwialkowska, K, Trankiem, A, Balaconis, M, Veerapen, K, Wolford, B, Ahmad, H, von Hohenstaufen Puoti, K, Boer, C, Boua, P, Butler-Laporte, G, Cadilla, C, Chwiałkowska, K, Colombo, F, Douillard, V, Dueker, N, Dutta, A, El-Sherbiny, Y, Eltoukhy, M, Esmaeeli, S, Faucon, A, Fave, M, Cadenas, I, Francescatto, M, Francioli, L, Franke, L, Fuentes, M, Durán, R, Cabrero, D, Harry, E, Jansen, P, Szentpéteri, J, Kaja, E, Kirk, C, Kousathanas, A, Krieger, J, Patel, S, Lemaçon, A, Limou, S, Lió, P, Marouli, E, Marttila, M, Medina-Gómez, C, Michaeli, Y, Migeotte, I, Mondal, S, Moreno-Estrada, A, Moya, L, Nakanishi, T, Nasir, J, Pasko, D, Pearson, N, Pereira, A, Priest, J, Prijatelj, V, Prokić, I, Teumer, A, Várnai, R, Romero-Gómez, M, Roos, C, Rosenfeld, J, Ruolin, L, Schulte, E, Schurmann, C, Sedaghati-khayat, B, Shaheen, D, Shivanathan, I, Sipeky, C, Sirui, Z, Striano, P, Tanigawa, Y, Remesal, A, Vadgama, N, Vallerga, C, van der Laan, S, Verdugo, R, Wang, Q, Wei, Z, Zainulabid, U, Zárate, R, Auton, A, Shelton, J, Shastri, A, Weldon, C, Filshtein-Sonmez, T, Coker, D, Symons, A, Aslibekyan, S, O’Connell, J, Ye, C, Hatoum, A, Agrawal, A, Bogdan, R, Colbert, S, Thompson, W, Fan, C, Johnson, E, Niazyan, L, Davidyants, M, Arakelyan, A, Avetyan, D, Bekbossynova, M, Tauekelova, A, Tuleutayev, M, Sailybayeva, A, Ramankulov, Y, Zholdybayeva, E, Dzharmukhanov, J, Kassymbek, K, Tsechoeva, T, Turebayeva, G, Smagulova, Z, Muratov, T, Khamitov, S, Kwong, A, Timpson, N, Niemi, M, Rahmouni, S, Guntz, J, Beguin, Y, Pigazzini, S, Nkambule, L, Georges, M, Moutschen, M, Misset, B, Darcis, G, Gofflot, S, Bouysran, Y, Busson, A, Peyrassol, X, Wilkin, F, Pichon, B, Smits, G, Vandernoot, I, Goffard, J, Tiembe, N, Morrison, D, Afilalo, J, Mooser, V, Richards, J, Rousseau, S, Durand, M, Forgetta, V, Laurent, L, Afrasiabi, Z, Bouab, M, Tselios, C, Xue, X, Afilalo, M, Oliveira, M, St-Cyr, J, Boisclair, A, Ragoussis, J, Auld, D, Kaufmann, D, Lathrop, G, Bourque, G, Décary, S, Falcone, E, Montpetit, A, Piché, A, Renoux, C, Tremblay, K, Tse, S, Zawati, M, Davis, L, Cox, N, Below, J, Sealock, J, Shuey, M, Polikowsky, H, Petty, L, Shaw, D, Chen, H, Zhu, W, Schmidt, A, Ludwig, K, Maj, C, Rolker, S, Balla, D, Behzad, P, Nöthen, M, Fazaal, J, Keitel, V, Jensen, B, Feldt, T, Marx, N, Dreher, M, Pink, I, Cornberg, M, Illig, T, Lehmann, C, Schommers, P, Rybniker, J, Augustin, M, Knopp, L, Kurth, I, Eggermann, T, Volland, S, Berger, M, Brenner, T, Hinney, A, Witzke, O, Konik, M, Bals, R, Herr, C, Ludwig, N, Walter, J, Latz, E, Schmidt, S, Brooks, J, Bull, S, Elliott, L, Gagnon, F, Greenwood, C, Hung, R, Lawless, J, Paterson, A, Sun, L, Rauh, M, Briollais, L, Gingras, A, Bombard, Y, Pugh, T, Simpson, J, Goneau, L, Halevy, A, Maslove, D, 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C., Thompson, Wesley K., Fan, Chun Chieh, Johnson, Emma C., Niazyan, Lyudmila, Davidyants, Mher, Arakelyan, Arsen, Avetyan, Diana, Bekbossynova, Makhabbat, Tauekelova, Ainur, Tuleutayev, Mukhtar, Sailybayeva, Aliya, Ramankulov, Yerlan, Zholdybayeva, Elena, Dzharmukhanov, Jarkyn, Kassymbek, Kuat, Tsechoeva, Tatyana, Turebayeva, Gulsimzhan, Smagulova, Zauresh, Muratov, Timur, Khamitov, Sadyk, Kwong, Alex S. F., Timpson, Nicholas J., Niemi, Mari E. K., Rahmouni, Souad, Guntz, Julien, Beguin, Yves, Pigazzini, Sara, Nkambule, Lindokuhle, Georges, Michel, Moutschen, Michel, Misset, Benoit, Darcis, Gilles, Gofflot, Stéphanie, Bouysran, Youssef, Busson, Adeline, Peyrassol, Xavier, Wilkin, Françoise, Pichon, Bruno, Smits, Guillaume, Vandernoot, Isabelle, Goffard, Jean-Christophe, Tiembe, Nicky, Morrison, David R., Afilalo, Jonathan, Mooser, Vincent, Richards, J. 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T., Hung, Rayjean J., Lawless, Jerry F., Paterson, Andrew D., Sun, Lei, Rauh, Michael, Briollais, Laurent, Gingras, Anne-Claude, Bombard, Yvonne, Pugh, Trevor J., Simpson, Jared, Goneau, Lee W., Halevy, Anat R., Maslove, David M., Borgundvaag, Bjug, Devine, Luke, Bearss, Erin, Richardson, David, Arnoldo, Saranya, Friedman, Steven Marc, Taher, Ahmed, Stern, Seth, Dagher, Marc, Vasilevska-Ristovska, Jovanka, Biggs, Catherine M., Mickiewicz, Beata, Strug, Lisa J., Scherer, Stephen W., Aziz, Naveed, Jones, Steven J. M., Knoppers, Bartha M., Lathrop, Mark, Turvey, Stuart E., Yeung, Rae S. M., Allen, Upton, Cheung, Angela M., Herridge, Margaret S., Hunt, Miranda, Lerner-Ellis, Jordan, Taher, Jennifer, Parekh, Rulan S., Hiraki, Linda T., Cowan, Juthaporn, Ducharme, Francine M., Ostrowski, Mario, Bernier, Francois P., Kellner, Jim, Garg, Elika, Yoo, Samantha, Vlasschaert, Caitlyn, Frangione, Erika, Chung, Monica, Noor, Abdul, Greenfeld, Elena, Colwill, Karen, Clausen, Marc, Chao, Gary, Yue, FengYun, Fritzler, Marvin, Whitney, Joseph, Thiruvahindrapuram, Bhooma, Garant, Jean-Michel, Abraham, Rohan, Davis, Adrienne, Campigotto, Aaron, Papenburg, Jesse, Niranjan, Kissoon, Betschel, Stephen, Sadarangani, Manish, Barton-Forbes, Michelle, Hanley, Michaela, Fung, Chun Yiu Jordan, Lapadula, Elisa, MacDonald, Georgia, Puopolo, Michael, Kaushik, Deepanjali, Nirmalanathan, Konika, Wong, Iris, Khan, Zeeshan, Zarei, Natasha, Michalowska, Maria, Modi, Bhavi P., Persia, Pourshahnazari, Estacio, Antonio, Buchholz, Megan, Cheatley, Patti Lou, Lorenti, Miranda, Aman, Nowrin F., Matveev, 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Tsourlos, Stavros, Athanasiou, Lazaros, Kolios, Nikolaos-Gavriil, Pappa, Christiana, Papathanasiou, Alexandros, Pargana, Eleni, Nasiou, Maria, Kosmidou, Maria, Rapti, Iro, Ntotsikas, Evangelos, Chaliasos, Konstantinos, Ntzani, Evangelia, Evangelou, Evangelos, Gartzonika, Konstantina, Georgiou, Ioannis, Tzoulaki, Ioanna, Ellinghaus, David, Degenhardt, Frauke, Cáceres, Mario, Juzenas, Simonas, Lenz, Tobias L., Albillos, Agustín, Julià, Antonio, Prati, Daniele, Solligård, Erik, Garcia, Federico, Tran, Florian, Hanses, Frank, Baselli, Guido, Zoller, Heinz, Holter, Jan Cato, Fernández, Javier, Barretina, Jordi, Valenti, Luca, Bujanda, Luis, Buti, Maria, D’Amato, Mauro, Banales, Jesus M., Rosenstiel, Philip, Koehler, Philipp, Invernizzi, Pietro, de Cid, Rafael, Asselta, Rosanna, Schreiber, Stefan, Duga, Stefano, Hehr, Ute, Franke, Andre, Maya-Miles, Douglas, Hov, Johannes R., Karlsen, Tom H., Folseraas, Trine, Teles, Ana, Tanck, Anja, Gassner, Christoph, Azuure, Clinton, Wacker, Eike Matthias, Uellendahl-Werth, Florian, Hemmrich-Stanisak, Georg, ElAbd, Hesham, Kässens, Jan, Arora, Jatin, Lerga-Jaso, Jon, Wienbrandt, Lars, Rühlemann, Malte Christoph, Wendorff, Mareike, Figuera Basso, Maria E., Vadla, May Sissel, Wittig, Michael, Braun, Nicole, Lenning, Ole Bernt, Özer, Onur, Myhre, Ronny, Raychaudhuri, Soumya, Wesse, Tanja, Albrecht, Wolfgang, Yi, Xiaoli, Ortiz, Aaron Blandino, de Salazar, Adolfo, Chercoles, Adolfo Garrido, Palom, Adriana, Ruiz, Agustín, Garcia-Fernandez, Alba-Estela, Blanco-Grau, Albert, Mantovani, Alberto, Holten, Aleksander Rygh, Bandera, Alessandra, Cherubini, Alessandro, Protti, Alessandro, Aghemo, Alessio, Gerussi, Alessio, Ramirez, Alfredo, Nebel, Almut, Barreira, Ana, Lleo, Ana, Kildal, Anders Benjamin, Biondi, Andrea, Caballero-Garralda, Andrea, Gori, Andrea, Glück, Andreas, Lind, Andreas, Nolla, Anna Carreras, Latiano, Anna, Fracanzani, Anna Ludovica, Peschuck, Anna, Cavallero, Annalisa, Dyrhol-Riise, Anne Ma, Ruello, Antonella, Muscatello, Antonio, Voza, Antonio, Rando-Segura, Ariadna, Solier, Aurora, Cortes, Beatriz, Mateos, Beatriz, Nafria-Jimenez, Beatriz, Schaefer, Benedikt, Bellinghausen, Carla, Ferrando, Carlos, de la Horra, Carmen, Quereda, Carmen, Scollo, Chiara, Lange, Christoph, Hu, Cinzia, Paccapelo, Cinzia, Angelini, Claudio, Cappadona, Claudio, Bianco, Cristiana, Cea, Cristina, Sancho, Cristina, Hoff, Dag Arne Lihaug, Galimberti, Daniela, Haschka, David, Jiménez, David, Pestaña, David, Toapanta, David, Muñiz-Diaz, Eduardo, Azzolini, Elena, Sandoval, Elena, Binatti, Eleonora, Scarpini, Elio, Casalone, Elisabetta, Urrechaga, Eloisa, Paraboschi, Elvezia Maria, Pontali, Emanuele, Reverter, Enric, Calderón, Enrique J., Navas, Enrique, Contro, Ernesto, Arana-Arri, Eunate, Aziz, Fátima, Sánchez, Félix García, Ceriotti, Ferruccio, Martinelli-Boneschi, Filippo, Peyvandi, Flora, Blasi, Francesco, Malvestiti, Francesco, Medrano, Francisco J., Mesonero, Francisco, Rodriguez-Frias, Francisco, Müller, 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G. T., Manunta, Maria, Acosta-Herrera, Marialbert, D’Angiò, Mariella, Baldini, Marina, Cazzaniga, Marina, Marquié, Marta, Castoldi, Massimo, Cecconi, Maurizio, Tomasi, Melissa, Boada, Mercè, Joannidis, Michael, Mazzocco, Michela, Ciccarelli, Michele, Rodríguez-Gandía, Miguel, Bocciolone, Monica, Miozzo, Monica, Ayo, Natale Imaz, Blay, Natalia, Chueca, Natalia, Montano, Nicola, Martínez, Nilda, Cornely, Oliver A., Palmieri, Orazio, Faverio, Paola, Preatoni, Paoletta, Bonfanti, Paolo, Omodei, Paolo, Tentorio, Paolo, Castro, Pedro, Rodrigues, Pedro M., Izquierdo-Sanchez, Laura, España, Pedro Pablo, Hoffmann, Per, Bacher, Petra, de Pablo, Raúl, Ferrer, Ricard, Gualtierotti, Roberta, Gallego-Durán, Rocío, Nieto, Rosa, Carpani, Rossana, Morilla, Rubén, Badalamenti, Salvatore, Haider, Sammra, Ciesek, Sandra, Bombace, Sara, Marsal, Sara, Klein, Sebastian, Pelusi, Serena, Wilfling, Sibylle, Goerg, Siegfried, Bosari, Silvano, Brunak, Søren, Heilmann-Heimbach, Stefanie, Aliberti, Stefano, Dudman, Susanne, Zheng, Tenghao, Bahmer, Thomas, Pumarola, Tomas, Cejudo, Trinidad Gonzalez, Rimoldi, Valeria, Monzani, Valter, Skogen, Vegard, Friaza, Vicente, Andrade, Victor, Moreno, Victor, Peter, Wolfgang, Farre, Xavier, Khodamoradi, Yascha, Grimsrud, Marit M., May, Sandra, Colombo, Alicia, Virginia, Monardes-Ramírez A., Dorador, Cristina, Fuentes-Guajardo, Macarena, Silva, Andrea X., Espinosa-Parrilla, Yolanda, Yáñez, Cristian E., Retamales-Ortega, Rocío M., Saez Hidalgo, Juan M., Tobar-Calfucoy, Eduardo A., Carvajal-Silva, Laura, Martínez, Matías F., Cerpa, Leslie C., Christian, Muñoz A., Cappelli, Claudio, Valenzuela-Jorquera, Hector, Zapata-Contreras, Daniela, Zuñiga-Pacheco, Paula, Nova-Lamperti, Estefania A., Sanhueza, Sergio A., Donoso, Gerardo, Bocchieri, Pamela, Kochifas, Pia, Quiñones, Luis A., Pedersen, Ole Birger, Geller, Frank, Westergaard, David, Sequeros, Celia Burgos, Nissen, Janna, Nielsen, Susanne Dam, Feldt-Rasmussen, Ulla, Bliddal, Sofie, Grønbæk, Kirsten, Ullum, Henrik, Ostrowski, Sisse Rye, Feenstra, Bjarke, Shahin, Doaa, Sobh, Ali, Shoma, Ashraf, Nkambul, Lindokuhle, Elhadidy, Tamer A., Abd Elghafar, Mohamed S., El-Jawhari, Jehan J., Mohamed, Attia A. S., Elnagdy, Marwa H., Samir, Amr, Abdel-Aziz, Mahmoud, Khafaga, Walid T., El-Lawaty, Walaa M., Torky, Mohamed S., El-Shanshory, Mohamed R., Elzeiny, Ahmed, Rashad, Amal, Mansour, Tamer A., Yassen, Amr M., Hegazy, Mohamed A. F., Okasha, Kamal, Eid, Mohammed A., Hanteera, Moahmed S., Medina-Gomez, Carolina, Ikram, M. Arfan, Uitterlinden, Andre G., Ripatti, Samuli, Jermy, Bradley, Ruotsalainen, Sanni, Kristiansson, Kati, Koskelainen, Sami, Perola, Markus, Donner, Kati, Kivinen, Katja, Palotie, Aarno, Kaunisto, Mari, Julienne, Hanna, Aschard, Hugues, Deleuze, Jean-Francois, Debette, Stephanie, Tregouet, David-Alexandre, Abel, Laurent, Henches, Léo, Lefloch, Edith, Claire, Dandine-Roulland, Sakuntabhai, Anavaj, Bourgeron, Thomas, Olaso, Robert, Daian, Delphine Bacq, Pellegrin, Isabelle, Casanova, Jean-Laurent, Cobat, Aurélie, Jouanguy, Emmanuelle, Zhang, Qian, Ghosn, Jade, Mentré, France, Laouénan, Cédric, Tubiana, Sarah, Chirouze, Catherine, Quintana-Murci, Luis, Patin, Etienne, Duffy, Darragh, Boland, Anne, Carreras, Anna, Galván-Femenía, Iván, Farré, Xavier, Cortés, Beatriz, Mercader, Josep Maria, Guindo-Martinez, Marta, Torrents, David, Garcia-Aymerich, Judith, Castaño-Vinyals, Gemma, Dobaño, Carlota, van Heel, David A., Hunt, Karen A., Trembath, Richard C., Jacobs, Benjamin Meir, Huang, Qin Qin, Martin, Hilary C., Mason, Dan, Trivedi, Bhavi, Wright, John, Munisamy, Malathy, Finer, Sarah, Griffiths, Christopher J., McCarthy, Mark I., Rosenberger, Carrie, Lee, Jong Eun, Chang, Diana, Hammer, Christian, Hunkapiller, Julie, Mahajan, Anubha, Pendergrass, Rion, Sucheston-Campbell, Lara, Yaspan, Brian, Lee, Hyun Soo, Shin, Eunsoon, Jang, Hye Yoon, Kim, Sunmie, Kym, Sungmin, Kim, Yeon-Sook, Jeong, Hyeongseok, Kwon, Ki Tae, Kim, Shin-Woo, Kim, Jin Yong, Jang, Young Rock, Kim, Hyun ah, Lee, Ji yeon, Lee, Jeong Eun, Lee, Shinwon, Choe, Kang-Won, Kang, Yu Min, Jee, Sun Ha, Jung, Keum Ji, Park, Hyun-Young, Kim, Bong-Jo, Kim, Young Jin, Hwang, Mi Yeong, Yoon, Kyungheon, Pairo-Castineira, Erola, Rawlik, Konrad, Caulfield, Mark J., Baillie, J. Kenneth, Griffiths, Fiona, Bretherick, Andrew D., Stuckey, Alex, Odhams, Christopher A., Walker, Susan, Russell, Clark D., Malinauskas, Tomas, Wu, Yang, Shen, Xia, Elliott, Katherine S., Morrice, Kirstie, Keating, Sean, Wang, Bo, Rhodes, Daniel, Klaric, Lucija, Zechner, Marie, Parkinson, Nick, Fawkes, Angie, Murphy, Lee, Vitart, Veronique, Wilson, James F., Yang, Jian, Scott, Richard H., Moutsianas, Loukas, Law, Andy, Begg, Colin, Hendry, Sara Clohisey, Hinds, Charles, Horby, Peter, Knight, Julian, Ling, Lowell, Maslove, David, McAuley, Danny, Millar, Johnny, Montgomery, Hugh, Nichol, Alistair, Openshaw, Peter J. M., Ponting, Chris P., Rowan, Kathy, Semple, Malcolm G., Shankar-Hari, Manu, Summers, Charlotte, Walsh, Timothy, Pan, Jacqueline, Grau, Neus, Jones, Tim Owen, Lim, Rosario, Marotti, Martina, Whitton, Christopher, Bociek, Aneta, Campos, Sara, Arbane, Gill, Ostermann, Marlies, Cha, Mina, DAmato, Fabiola, Kosifidou, Eirini, Lorah, Shelley, Morera, Kyma, Brady, Laura, Hugill, Keith, Henning, Jeremy, Bonner, Stephen, Headlam, Evie, Jones, Jessica, List, Abigail, Morley, Joanne, Welford, Amy, Kamangu, Bobette, Ratnakumar, Anitha, Shoremekun, Abiola, Alldis, Zoe, Astin-Chamberlain, Raine, Bibi, Fatima, Biddle, Jack, Blow, Sarah, Bolton, Matthew, Borra, Catherine, Bowles, Ruth, Burton, Maudrian, Choudhury, Yasmin, Cox, Amber, Easthope, Amy, Ebano, Patrizia, Fotiadis, Stavros, Gurasashvili, Jana, Halls, Rosslyn, Hartridge, Pippa, Kallon, Delordson, Kassam, Jamila, Lancoma-Malcolm, Ivone, Matharu, Maninderpal, May, Peter, Mitchelmore, Oliver, Newman, Tabitha, Patel, Mital, Pheby, Jane, Pinzuti, Irene, Prime, Zoe, Prysyazhna, Oleksandra, Shiel, Julian, Taylor, Melanie, Tierney, Carey, Zongo, Olivier, Wood, Suzanne, Zak, Anne, Collier, David, Mundy, Manuela, Thompson, Christopher, Pritchard, Lisa, Gellamucho, Minnie, Cartlidge, David, Bandla, Nageswar, Bailey, Lucy, Davies, Michelle, Delaney, Jane, Scott, Leanne, Abdelrazik, Marwa, Alasdair, Frater, Carter, David, Elhassan, Munzir, Ganesan, Arunkumar, Jenkins, Samuel, Lamond, Zoe, Purohit, Dharam, Rohit, Kumar, Saleem, Malik, Wall, Alanna, Xavier, Kugan, Bakthavatsalam, Dhanalaksmi, Gehad, Kirolos, Gnanapragasam, Pakeerathan, Jain, Kapil, Jain, Swati, Malik, Abdul, Pappachan, Naveen, Moreno-Cuesta, Jeronimo, Haldeos, Anne, Vincent, Rachel, Oziegb, Maryjane, Cavazza, Anna, Cockrell, Maeve, Corcoran, Eleanor, Depante, Maria, Finney, Clare, Jerome, Ellen, Knighton, Abigail, Nayak, Monalisa, Pappa, Evita, Saha, Rohit, Saha, Sian, Dodd, Andrew, O’Reilly, Kevin, McPhail, Mark, Clarey, Emma, Noble, Harriet, Smith, John, Coghlan, Phoebe, Brett, Stephen, Gordon, Anthony, Templeton, Maie, Antcliffe, David, Banach, Dorota, Darnell, Sarah, Fernandez, Ziortza, Jepson, Eleanor, Mohammed, Amal, Rojo, Roceld, Arias, Sonia Sousa, Gurung, Anita Tamang, Wong, Jenny, Fernandez-Roman, Jaime, Hamilton, David O., Johnson, Emily, Johnston, Brian, Martinez, Maria Lopez, Mulla, Suleman, Waite, Alicia A. C., Williams, Karen, Waugh, Victoria, Welters, Ingeborg, Emblem, Jessica, Norris, Maria, Shaw, David, Bashyal, Archana, Beer, Sally, Hutton, Paula, McKechnie, Stuart, Davidson, Neil, Mathew, Soya, Readion, Grace, Ryu, Jung, Wilson, Jean, Agrawal, Shruti, Elston, Kay, Jones, Megan, Meaney, Eoghan, Polgarova, Petra, Elbehery, Muhammad, Daubney, Esther, Ng, Anthony, Marshall, Jocelyn, Pathan, Nazima, Stroud, Katerina, White, Deborah, Andrew, Angela, Ashraf, Saima, Clark, Amy, Dent, Martin, Langley, Margaret, Peters, Cecilia, Ryan, Lucy, Sampson, Julia, Wei, Shuying, Baddeley, Alice, Meredith, Megan, Morris, Lucy, Gibbons, Alexandra, McLoughlin, Lisa, Delgado, Carlos Castro, Clark, Victoria, Dawson, Deborah, Ding, Lijun, Durrant, Georgia, Ezeobu, Obiageri, Harrison, Abiola, Hurt, William James, Kanu, Rebecca, Kinch, Ashley, Leaver, Susannah, Lisboa, Ana, Mathew, Jisha, Patel, Kamal, Saluzzio, Romina Pepermans, Rawlins, John, Samakomva, Tinashe, Shah, Nirav, Sicat, Christine, Texeira, Joana, Queiroz, Joana Gomes De, Gloria, Edna Fernandes Da, Maccacari, Elena, Yun, Nikki, Manna, Soumendu, Farnell-Ward, Sarah, Maizcordoba, Maria, Thanasi, Maria, Ali, Hawakin Haji, Hastings, Janice, Grauslyte, Lina, Hussain, Musarat, Ruge, Bobby, King, Sam, Pogreban, Tatiana, Rosaroso, Lace, Smith, Helen, Phull, Mandeep-Kaur, Adams, Nikkita, Franke, George, George, Aparna, Salciute, Erika, Wong, Joanna, Dunne, Karen, Flower, Luke, Sharland, Emma, Sra, Sukhmani, Andrew, Gillian, Callaghan, Marie, Barclay, Lucy, Marshall, Lucy, Amamio, Maria, Birch, Sophie, Briton, Kate, Clark, Sarah, Doverman, Katerine, Hope, Dave, Mcculloch, Corrienne, Simpson, Scott, Singleton, Jo, Fernandez, Rita, Allen, Meryem, Baptista, David, Crowe, Rebecca, Fox, Jonathan, Khera, Jacyntha, Loveridge, Adam, McKenley, India, Morino, Eriko, Naranjo, Andres, O’Connor, Denise, Simms, Richard, Sollesta, Kathryn, Swain, Andrew, Venkatesh, Harish, Herdman-Grant, Rosie, Joseph, Anna, Nown, Angela, Rose, Steve, Pogson, David, Boxall, Helen, Brimfield, Lutece, Claridge, Helen, Daly, Zoe, George, Shenu, Gribbin, Andrew, Cheema, Yusuf, Cutler, Sean, Richards, Owen, Roynon-Reed, Anna, Cherian, Shiney, Heron, Anne Emma, Williams, Gemma, Szakmany, Tamas, Waters, Abby, Collins, Kim, Dunhill, Jill, Jones, Ffion, Morris, Rebecca, Ship, Lucy, Cardwell, Amy, Ali, Syamlan, Bhatterjee, Ravi, Bolton, Rachel, Chukkambotla, Srikanth, Coleman, Dabheoc, Dalziel, Jack, Dykes, Joseph, Fine, Christopher, Gay, Bethan, Goddard, Wendy, Goodchild, Drew, Harling, Rhiannan, Hijazi, Muhammad, Keith, Sarah, Khan, Meherunnisa, Matt, Roseanna, Ryan-Smith, Janet, Saad, Samuel, Springle, Philippa, Thomas, Jacqueline, Truman, Nick, Kazi, Aayesha, Smith, Matthew, Collier, Heather, Davison, Chloe, Duberley, Stephen, Hargreaves, Jeanette, Hartley, Janice, Patel, Tahera, Smith, Ellen, Kent, Alissa, Goodwin, Emma, Zaki, Ahmed, Tibke, Clare, Hopkins, Susan, Gerrard, Hywel, Jackson, Matthew, Bennett, Sara, Marsh, Liane, Mills, Rebecca, Bell, Jessica, Campbell, Helen, Dawson, Angela, Dodds, Steve, Duffy, Stacey, Gallagher, Lisa, McCafferty, Gemma, Short, Stacey, Smith, Tracy, Thomas, Kirsty, Walker, Claire, Reynolds, Jessica, Yates, Bryan, McKie, Hayley, Panteli, Maria, Thompson, Maria, Waddell, Gail, Beger, Sarah De, Abraheem, Azmerelda, Dunmore, Charlie, Girach, Rumanah, Jones, Rhianna, London, Emily, Nagra, Imrun, Nasir, Farah, Sainsbury, Hannah, Smedley, Clare, Brearey, Stephen, Burchett, Caroline, Cawley, Kathryn, Faulkner, Maria, Jeffrey, Helen, Bamford, Peter, Shaikh, Firdaus, Slack, Lauren, Davies, Angela, Brooke, Hollie, Suarez, Jose Cebrian, Charlesworth, Ruth, Hansson, Karen, Norris, John, Poole, Alice, Sandhu, Rajdeep, Smithson, Elizabeth, Thirumaran, Muthu, Wagstaff, Veronica, Buckley, Sarah, Sloan, Brendan, Rose, Alastair, Major, Amy, Metcalfe, Alexandra, Almaden-Boyle, Christine, Austin, Pauline, Chapman, Susan, Eros, Alexandre, Cabrelli, Louise, Cole, Stephen, Whyte, Clare, Casey, Matt, Bafitis, Vasileios, Tsinaslanidis, George, George, Cassandra, Khade, Reena, Black, Christopher, Ashok, Sundar Raj, Farley, Sean, Brinkworth, Elaine, Harford, Rachel, Murphy, Carl, Williams, Marie, Newey, Luke, Toghill, Hannah, Lewis, Sophie, Rees, Tabitha, Battle, Ceri, Baker, Mark, Travers, Jenny, Chesters, Karen, Baxter, Nicola, Arnott, Andrew, McCreath, Gordan, McParland, Christopher, Rooney, Laura, Sim, Malcolm, Henderson, Steven, Abel, Lynn, Dalton, Carol, Kennedy-Hay, Sophie, O’Donohoe, Lynn, O’Hare, Megan, Orlikowska, Izabela, Parker, Natasha, McNeela, Fiona, Lyle, Amanda, Hughes, Alistair, Radhakrishnan, Jayachandran, Gibson, Sian, Bancroft, Hollie, Bellamy, Mary, Daglish, Jacqueline, Kadiri, Salma, Moore, Faye, Rhodes, Joanne, Sangombe, Mirriam, Peterkin, Zhane, Scriven, James, Carmody, Margaret, Cottle, Juliet, Peasgood, Emily, de Gordoa, Laura Ortiz-Ruiz, Phillips, Claire, Skinner, Denise, Cinquina, Zoe, Howard, Kate, Joy, Rosie, Roche, Samantha, Birkinshaw, Isobel, Carter, Joseph, Ingham, Jo, Marshall, Nicola, Pearson, Harriet, Scott, Zoe, Dasgin, Jo, Gill, Jaspret, Nilsson, Annette, Bamford, Amy, Hull, Diana, Ahmadhaider, Nafeesah, Bates, Michelle, McGhee, Christopher, Ellis, Hannah, Howe, Gwenllian Sera, Singh, Jayaprakash, Stroud, Natalie, Roche, Lisa, Lynch, Ceri, Deacon, Bethan, Pothecary, Carla, Smeaton, Justyna, Agravante, Kevin, Krishnamurthy, Vinodh, Diaba, Cynthia, John, Lincy, Lim, Lai, Jha, Rajeev, Egan, Jasmine, Felton, Timothy, Glasgow, Susannah, Padden, Grace, Choudhr, Ozerah, Bradley-Potts, Joanne, Moss, Stuart, Lingeswaran, Saejohn, Alexander, Peter, Brandwood, Craig, Fiouni, Sofia, Ward, Luke, Allen, Schvearn, Shaw, Jane, Smith, Christopher, Adanini, Oluronke, Collins, Rebecca, Msiska, Maines, Ofori, Linda, Bhatia, Nikhil, Dolan, Hayley, Brunton, Mark, Caterson, Jess, Coles, Holly, Keating, Liza, Tilney, Emma, Jacques, Nicola, Frise, Matthew, Armistead, Jennifer, Bartley, Shauna, Bhuie, Parminder, Rai, Sabi, Tomkova, Gabriela, Greer, Sandra, Shuker, Karen, Tridente, Ascanio, Dobson, Emma, Hunt, Jodie, Tully, Redmond, Dearden, Joy, Drummond, Andrew, Kamath, Prakash, Bullock, Emily, Mulcahy, Michelle, Munt, Shelia, O’Connor, Grainne, Philbin, Jennifer, Rishton, Chloe, Scott, Chloe, Winnard, Sarah, Hasni, Nurkamalia, Gascoyne, Rachel, Hawes, Joanne, Pritchard, Kelly, Stevenson, Lesley, Whileman, Amanda, Beavis, Sarah, Bishop, Lauren, Cart, Cindy, Dale, Katie, Kelly-Baxter, Mary, Mendelski, Adam, Moakes, Emma, Smith, Rheanna, Woodward, Jan, Wright, Stephanie, Allan, Angela, Botello, Adriana, Liew, Jade, Medhora, Jasmine, Trumper, Erin, Savage, Felicity, Scott, Teresa, Place, Marc, Kaye, Callum, Benyon, Sarah, Marriott, Suzie, Park, Linda, Quinn, Helen, Skyes, Daisy, Zitter, Lily, Baines, Kizzy, Gordon, Elizabeth, Keenan, Samantha, Pitt, Andrew, Duffy, Katharine, Ireland, Jane, Semple, Gary, Turner, Lynne, Cathcart, Susanne, Rimmer, Dominic, Puxty, Alex, Puxty, Kathryn, Hurst, Andrew, Miller, Jennifer, Speirs, Susan, Walker, Lauren, Bradshaw, Zena, Brown, Joanna, Melling, Sarah, Preston, Stephen, Slawson, Nicola, Warden, Scott, Beasley, Alanna, Stoddard, Emma, Benham, Leonie, Cupitt, Jason, Caswell, Melanie, Elawamy, Lisa, Wignall, Ashleigh, Roberts, Belinda, Golding, Hannah, Leggett, Samantha, Male, Michelle, Marani, Martyna, Prager, Kirsty, Williams, Toran, Golder, Kim, Jones, Oliver, Cusack, Rebecca, Bolger, Clare, Burnish, Rachel, Carter, Michael, Jackson, Susan, Salmon, Karen, Biss, Jonathan, Aquino, Maia, Croft, Maria, Frost, Victoria, White, Ian, Govender, Keshnie, Webb, Natasha, Stapleton, Liana, Wells, Colin, Nikitas, Nikitas, Sanchez - Rodriguez, Ana, Spencer, Kayleigh, Stowe, Bethan, Izzard, Yvonne, Poole, Michelle, Monnery, Sonja, Trotman, Sallyanne, Beech, Valerie, Combes, Edward, Joefield, Teishel, Covernton, Patrick, Savage, Sarah, Woodward, Elizabeth, Camsooksai, Julie, Reschreiter, Henrik, Barclay, Charlotte, DeAth, Yasmin, Dube, Judith, Humphrey, Charlotte, Jenkins, Sarah, Langridge, Emma, Milne, Rebecca, Wadams, Beverley, Woolcock, Megan, Brett, Michael, Digby, Brian, Gemmell, Lisa, Hornsby, James, MacGoey, Patrick, O’Neil, Pauline, Price, Richard, Sundaram, Radha, Rodden, Natalie, Thomson, Nicola, Rooney, Kevin, Currie, Susan, Henderson, Philip, Ogg, Bethan, Whiteley, Simon, Wilby, Liz, Long, Kate, Matthew, Shailamma, Salada, Sheila, Trott, Susan, Watts, Sarah, Friar, Zoe, Speight, Abigail, Bastion, Victoria, Chandna, Humza, Djeugam, Brice, Haseeb, Muhammad, Kent, Harriet, Lubimbi, Gamu, Murdoch, Sophie, Thomas, Alastair, David, Beena, Lorusso, Rachel, Vochin, Ana, Penacerrada, Melchizedek, Wulandari, Retno, Heath, Charlotte, Jakkula, Srinivas, Morris, Anna, Ahmed, Ashar, Nune, Arvind, Buttriss, Claire, Whitaker, Emma, Davey, Miriam, Golden, David, Acklery, Amy, Fernandes, Fabio, Seaman, Bec, Earl, Victoria, Collins, Amy, Khaliq, Waqas, Adam, Rachel, Treus, Estefania, Holland, Sarah, Alfonso, Jordan, Blackledge, Bethan, Bruce, Michelle, Durrans, Laura Jayne, Eltayeb, Ayaa, Harris, Jade, Hey, Samuel, Hruska, Martin, Lamb, Thomas, Rothwell, Joanne, Fitzgerald, Adele, Lindergard, Gabriella, T-Michael, Helen, Duncan, Tracey, Baxter-Dore, Sharon, Cooper, Lisa, Fox, Claire, Guerin, Jacinta, Hodgkiss, Tracey, Connolly, Karen, McAlinden, Paul, Bridgett, Victoria, Fearby, Maggie, Gulati, A., Hanson, Helen, Kelly, Sinead, McCormack, Louise, Nixon, Rachel, Robinson, Philip, Slater, Victoria, Stephenson, Elaine, Webster, Andrea, Webster, K., Hays, Carole, Hudson, Anne, Patel, Bijal, Clement, Ian, Davis, John, Francis, Sarah, Jerry, Douglas, Abernathy, Caroline, Foster, Louise, Gratrix, Andrew, Cabral-Ortega, Llucia, Hines, Matthew, Martinson, Victoria, Stones, Elizabeth, Winter, Karen, Barrow, Esther, Wylie, Katharine, Baines, Deborah, Birchall, Katie, Kolakaluri, Laurel, Clark, Richard, Sukumaran, Anila, Barker, Melanie, Paripoorani, Deborah, Smith, Lara, Taylor, Charlotte, Downes, Charlotte, Hayman, Melanie, Riches, Katie, Daniel, Priya, Subramanian, Deepak, Holding, Kathleen, Hilton, Mary, Mcdonald, Carly, Richardson, Georgina, Halladay, Georgia, Harding, Peter, Reddy, Amie, Turner-Bone, Ian, Wilding, Laura, Parker, Robert, Lloyd, Michaela, Smith, Leanne, Kelly, Charlie, Lazo, Maria, Neal, Alan, Walton, Olivia, Melville, Julie, Naisbitt, Jay, Joseph, Rosane, Callam, Sara, Hudig, Lisa, Keshet-Price, Jocelyn, Stammers, Katie, Convery, Karen, Randell, Georgina, Fottrell-gould, Deirdre, Mwaura, Esther, Sutherland, Sara-Beth, Stewart, Richard, Mew, Louise, Wren, Lynn, Thrasyvoulou, Laura, Willis, Heather, Hopkins, Bridget, Lenton, Daniel, Roberts, Abigail, Bokhari, Maria, Lucas, Rachael, McCormick, Wendy, Ritzema, Jenny, Linnett, Vanessa, Sanderson, Amanda, Wild, Helen, Flanagan, Rebecca, Hull, Robert, Rhead, Kat, McKenna, Emma, Hughes, Gareth, Anderson, Jennifer, Jones, Kelly, Latham, Scott, Riley, Heather, Coulding, Martina, Clark, Martyn, McCormick, Jacqueline, Mercer, Oliver, Potla, Darsh, Rehman, Hafiz, Savill, Heather, Turner, Victoria, Jude, Edward, Kilroy, Susan, Apetri, Elena, Basikolo, Cathrine, Catlow, Laura, Collis, Matthew, Doonan, Reece, Harvey, Alice, Knowles, Karen, Lee, Stephanie, Lomas, Diane, Lyons, Chloe, McMorrow, Liam, Michael, Angiy, Pendlebury, Jessica, Perez, Jane, Poulaka, Maria, Proudfoot, Nicola, Slevin, Kathryn, Thomas, Vicky, Walker, Danielle, Dark, Paul, Charles, Bethan, McLaughlan, Danielle, Slaughter, Melanie, Horner, Dan, Marsden, Tracy, Andrews, Joyann, Beech, Emily, Akinkugbe, Olugbenga, Bamford, Alasdair, Belfield, Holly, Jones, Gareth A. L., McHugh, Tara, Meghari, Hamza, Ray, Samiran, Tomas, Ana Luisa, O’Neill, Lauran, Peters, Mark, Bell, Michael, Benkenstein, Sarah, Chisholm, Catherine, Davies, Charlene, Kupiec, Klaudia, Payne, Caroline, Halls, Joanna, Blakemore, Hayley, Goff, Elizabeth, Hayes, Kati, Smith, Kerry, Stephens, Deanna, Worner, Ruth, Borislavova, Borislava, Faulkner, Beverley, Thomas, Matt, Cookson, Ruth, Gendall, Emma, Larman, Georgina, Pope, Rebecca, Smalira, Artur, Priestley, Victoria, Cosier, Tracey, Millen, Gemma, Rand, James, Schumacher, Natasha, Sandhar, Roxana, Weston, Heather, Richardson, Neil, Cooper, Lucy, Jones, Cathy, Huang, Ya-Wen Jessica, Jacob, Reni, Denmade, Craig, Mcintyre, Lewis, Trodd, Dawn, Martin, Jane, Watson, Geoff, Bevan, Emily, Wreybrown, Caroline, Bano, Shereen, Bellwood, Ruth, Bentley, Michael, Bromley, Matt, Gurr, Lucy, Ledgard, Camilla, McGowan, Janet, Pye, Kate, Sellick, Kirsten, Stacey, Amelia, Warren, Deborah, Wilkinson, Brian, Akeroyd, Louise, Shafique, Huma, Morgan, James, Shorter, Susan, Swinger, Rachel, Waters, Emily, Lawton, Tom, Allan, Elizabeth, Darlington, Kate, Davies, Ffyon, Davies, Llinos, Easton, Jack, Kumar, Sumit, Lean, Richard, Mackay, Callum, Pugh, Richard, Qiu, Xinyi, Rees, Stephanie, Scanlon, Jeremy, Lewis, Joanne, Menzies, Daniel, Bolger, Annette, Davies, Gwyneth, Davies, Jennifer, Garrod, Esther, Jones, Helen, Manley, Rachel, Williams, Hannah, Frankham, Jordan, Pitts, Sally, White, Nigel, Branney, Debbie, Tiller, Heather, Efford, Georgia, Garland, Zoe, Grimmer, Lisa, Gumbrill, Bethany, Johnson, Rebekah, Sweet, Katie, Bewley, Jeremy, Coleman, Christina, Corcoran, Katie, Morano, Eva Maria Hernandez, Shiel, Rachel, Webster, Denise, Bonnici, Josephine, Daniel, Eleanor, Dell, Abbie, Kent, Melanie, Wilkinson, Ami, Brown, Ellen, Kay, Andrea, Campbell, Suzanne, Cowton, Amanda, Birt, Mark, Greenaway, Vicki, Potts, Kathryn, Hutton, Clare, Shepperson, Andrew, Forsey, Miranda, Nicholson, Alice, Vertue, Mark, Riches, Joanne, Kaliappan, Agilan, Nicholson, Anne, MacCallum, Niall, Raith, Eamon, Bercades, Georgia, Hass, Ingrid, Brealey, David, Martir, Gladys, Reyes, Anna, Smyth, Deborah, Zapatamartinez, Maria, Alvaro, Ana, Jetha, Champa, Ma, Louise, Booker, Lauren, Mostoles, Loreta, Pratley, Anezka, Altabaibeh, Abdelhakim, Parmar, Chetan, Gilbert, Kayleigh, Ferguson, Susie, Shepherd, Amy, Morris, Sheila, Baruah, Rosie, Lloyd, Georgina, Bell, Stephanie, Rivers, Vanessa, Purewal, Bally, Hammerton, Kate, Anderson, Susan, Birch, Janine, Collins, Emma, Oleary, Ryan, Cornell, Sarah, Jarmain, Jordan, Rogerson, Kimberley, Wakinshaw, Fiona, Woods, Lindsey, Rostron, Anthony, Elcioglu, Zeynep, Roy, Alistair, Bell, Gillian, Dickson, Holly, Wilcox, Louise, Katary, Amro, English, Katy, Hutter, Joanne, Pawley, Corinne, Doble, Patricia, Shovelton, Charmaine, Vaida, Marius, Purnell, Rebecca, Thomas, Ashly, Cagova, Lenka, Fofano, Adama, Holcombe, Helen, Mitchell, Alice Michael, Mwaura, Lucy, Praman, KrithivasanÂ, Garnr, Lucie, Mepham, Sue, Paques, Kitty, Vuylsteke, Alain, Mackie, Jennifer, Pearn, Carmen, Zamikula, Julie, Nyirenda, Maggie, Capozzi, Lisa, Reece-Anthony, Rosie, Noor, Hazma, Nilo, Alfa Cresia, Grove, Michelle, Daniel, Amelia, Finn, Joanne, White, Nikki, Saha, Rajnish, Badal, Bibi, Ixer, Karen, Duffin, Donna, Player, Ben, Hill, Helen, Cole, Jade, Brooks, Jenny, Davies, Rhys, Hunt, Lauren, Thomas, Emma, Williams, Angharad, Oblak, Metod, Thankachen, Mini, Irisari, Jamie, Sayan, Amrinder, Popescu, Monica, Finch, Cheryl, Jamieson, Andrew, Quinn, Alison, Cooper, Joshua, Liderth, Sarah, Waddington, Natalia, Burn, Iona, Manso, Katarina, Penn, Ruth, Tebbutt, Julie, Thornton, Danielle, Winchester, James, Hambrook, Geraldine, Shanmugasundaram, Pradeep, Craig, Jayne, Simpson, Kerry, Higham, Andrew, Sibbett, Louise, Paine, Sheila, Reed, Annabel, Conyngham, Jo-Anna, Mupudzi, Mcdonald, Thomas, Rachel, Wright, Mary, Griffin, Denise, Partridge, Richard, Corral, Maria Alvarez, Muchenje, Nycola, Sitonik, Mildred, Butler, Aaron, Folkes, Linda, Fox, Heather, Gardner, Amy, Helm, David, Hobden, Gillian, King, Kirsten, Margalef, Jordi, Margarson, Michael, Martindale, Tim, Meadows, Emma, Raynard, Dana, Thirlwall, Yvette, Baird, Yolanda, Gomez, Raquel, Martin, Darren, Hodgson, Luke, Corin, Clinton, Sidall, Erikka, Szabo, Densie, Floyd, Sharon, Davies, Hannah, Austin, Karen, Kelsall, Olivia, Wood, Hannah, Cornell, Thomas, Ralph, Kate, Bean, Sarah, Burt, Karen, Spivey, Michael, Richards, Carol, Tedstone, Rachel, Carmody, Siobhain, Zhao, Xiaobei, Page, Valerie, Guanco, Mark Louie, Hoxha, Elvira, Zorloni, Camilla, Dean, Charlotte, Jones, Emma, Carter, Emma, Dunn, Joshua, Kong, Thomas, Mahenthran, Mervin, Marsh, Chris, Holland, Maureen, Keenan, Natalie, Mahmoud, Mohamed, Lyons, Marc, Wassall, Helen, Young, Meghan, Bradley, Paul, Burda, Dorota, Donlon, Sinead, Harden, Lesley, Harris, Celia, Mayangao, Irving, Montaser, Rugia, Mtuwa, Sheila, Piercy, Charles, Smith, Eleanor, Stone, Sarah, Verula, Jerik, Blackman, Helen, Marriott, Cheryl, Michalak, Natalia, Creagh-Brown, Ben, Salberg, Armorel, Boyer, Naomi, Pristopan, Veronika, Maynard, Victoria, Walker, Rachel, Hormis, Anil, Collier, Dawn, Graham, Cheryl, McCormick, Jake, Warrington, Jake, Cosgrove, Denise, McFarland, Denise, Ratcliffe, Judith, Charnock, Rob, Wynter, Inez, Gill, Mandy, Kirk, Jill, Paul, Paul, Ratnam, Valli, Shelton, Sarah, Jardine, Catherine, Hay, Alasdair, Williams, Dewi, Durga, Latha, Hibbert, Meg, Kennard-Holden, Gareth, Woodford, Chrsitopher, Tetla, Dariusz, Price, Alicia, Thomas, Alice, Thorpe, Chris, Knights, Ellen, Ward, Donna, Laha, Shondipon, Verlander, Mark, Williams, Alexandra, Prout, Rachel, Langton, Helen, Watters, Malcolm, Hunt, Charlotte, Novis, Catherine, Arif, Sarwat, Cunningham, Amy, Hewitt, Claire, Hindale, Julia, Jackson-Lawrence, Karen, Shepardson, Sarah, Wills, Maryanne, Butler, Susie, Tavares, Silivia, Barber, Russell, Hilldrith, Annette, Hubbard, Kelly, Egginton, Dawn, Clark, Michele, Purvis, Sarah, Sinclair, Simon, Collins, Vicky, Landeg, Bethan, Sell, Craig, Coetzee, Samantha, Gales, Alistair, Otahal, Igor, Icke, Becky, Raj, Meena, Williams, Caroline, Williams, Jill, Hill, Lucy, Kayani, Abdul, Masunda, Bridgett, Gondo, Prisca, Atayeva, Nigara, Cruz, Carina, Pattison, Natalie, Burnett, Caroline, Hatton, Jonathan, Heeney, Elaine, Newton, Maria, Al-Moasseb, Hassan, Behan, Teresa, Player, Jasmine, Stead, Rachael, Mitra, Atideb, Nauyokas, Kirsty, Humphreys, Sally, Cockerill, Helen, Tampsett, Ruth, Postovalova, Evgeniya, Coventry, Tina, McGregor, Amanda, Fowler, Susan, Macmahon, Mike, Cochrane, Patricia, Pirie, Sandra, Hanley, Sarah, Ali, Asifa, Brady, Megan, Dale, Sam, Dance, Annalisa, Gledhill, Lisa, Greig, Jill, Hanson, Kathryn, Holdroyd, Kelly, Home, Marie, Ishaq, Tahira, Kelly, Diane, Matapure, Lear, Melia, Deborah, Mellor, Samantha, Merwaha, Ekta, Nortcliffe, Tonicha, Shaw, Lisa, Shaw, Ryan, Wood, Tracy, Bayo, Lee-Ann, Usher, Miranda, Wilson, Alison, Kitson, Ross, Pinnell, Jez, Robinson, Matthew, Boltwood, Kaitlin, Birch, Jenny, Bough, Laura, Tutton, Rebecca, Winter-Goodwin, Barbara, Goodsell, Josie, Taylor, Kate, Williams, Patricia, Williams, Sarah, Cave, Ashleigh, Rees, James, Imeson-Wood, Janet, Smith, Jacqueline, Amin, Vishal, Karthik, Komala, Kausar, Rizwana, Anastasescu, Elena, Reid, Karen, Anumakonda, Vikram, Stoddart, Ella, Demetriou, Carrie, Eckbad, Charlotte, Howie, Lucy, Mitchard, Sarah, Ramos, Lidia, White, Katie, Hierons, Sarah, Kelly, Fiona, Serrano-Ruiz, Alfredo, Evans, Gabrielle, Nicol, Liz, Wilkins, Joy, Hulacka, Kim, Debreceni, Gabor, Brown, Alison, Crickmore, Vikki, Hill, Kay, Kannan, Thogulava, Dagutao, Zenaida, Beesley, Kate, Lewis, Alison, Perry, Jess, Antony, Sherly, Board, Sarah, Buckley, Clare, Pippard, Lucy, Tanate, Alfonso, Wood, Diane, Kubisz-Pudelko, Agnieska, Gouda, Ayman, Auld, Fiona, Donnachie, Joanne, Murdoch, Euan, Prentice, Lynn, Runciman, Nikole, Senaratne, Dhaneesha, Short, Abigail, Sweeney, Laura, Symon, Lesley, Todd, Anne, Turner, Patricia, McCann, Erin, Salutous, Dario, Edmond, Ian, Whitelaw, Lesley, Bland, Yvonne, Kajtor, Istvan, Kavanagh, Lisa, Singler, Karen, Linfield-Brown, George, Moore, Luke Stephen Prockter, Vizcaychipi, Marcela, Martins, Laura, Moore, Luke, Bull, Rhian, Carungcong, Jaime, Allen, Louise, Beranova, Eva, Knight, Alicia, Price, Carly, Tilbey, Sorrell, Turney, Sharon, Hazelton, Tracy, Tutt, Gabriella, Arora, Mansi, Turki, Salah, Sinfield, Emily, Deery, Joanne, Ramos, Hazel, Cristiano, Daniele, Dormand, Natalie, Farzad, Zohreh, Gummadi, Mahitha, Salmi, Sara, Sloane, Geraldine, Varghese, Mathew, Thwaites, Vicky, Patel, Brijesh, Kamal, Liyanage, Zborowski, Anelise Catelan, Coe, Ryan, Anderson, Madeleine, Beadle, Jane, Coates, Charlotte, Collins, Katy, Crowley, Maria, Johnson, Laura, King, Laura, Paramsothy, Remi, Sargeant, Janet, Silva, Pedro, Stuart, Carmel, Taylor, June, Tyl, David, Wakefield, Phillipa, Kamundi, Charlotte, Olufuwa, Olumide, Belagodu, Zakaulla, Gherman, Anca, Oakley, Naomi, Allan, John, Geary, Tim, Meikle, Alistair, O’Brien, Peter, Wood, Stephen, Clark, Andrew, Houston, Gordon, Black, Karen, Clarkson, Michelle, D’Sylva, Stuart, Morrison, Alan, Norman, Kathryn, Taylor, Margaret, Clements, Suzanne, Cohrane, Catriona, Gonzalez, Nora, Strachan, Dominic, Beith, Claire, Moar, Kirsten, Anderson, Peter, Archer, Katie, Burtenshaw, Andrew, Clayton, Sarah, Cother, Naiara, Cowley, Nicholas, Davis, Caroline, Digby, Stephen, Durie, Alison, Harrison, Alison, Low, Emma, McAlindon, Michael, McCurdy, Alex, Morgan, Aled, Rankin, Tobias, Thrush, Jessica, Tranter, Helen, Vigurs, Charlie, Wild, Laura, Murphy, Lorna, Smythe, Michelle, Brickell, Kathy, Ali, Inthakab Ali Mohamed, Beaumont, Karen, Elsaadany, Mohamed, Fernandes, Kay, Ally, Sameena Mohamed, Rangarajan, Harini, Sarathy, Varun, Selvanayagam, Sivarupan, Vedage, Dave, White, Matthew, Coton, Zoe, Joshy, Aricsa, Blunt, Mark, Curgenven, Hollie, Botfield, Liam, Dexter, Catherine, Kuravi, Aditya, Butler, Joanne, Chadwick, Robert, Ranga, Poonam, Richardson, Lisa, Virgilio, Emma, Anwer, Maddiha, Garg, Atul, Botfield, Donna, Marriott, Xana, Stewart, Keely, Mullan, Dee, Gaylard, Jane, Nowak, Justyna, Jones, Sian, Crawley, Rikki, Crew, Abigail, Cunningham, Mishell, Daniels, Allison, Harrison, Laura, Hope, Susan, Lancaster, Nicola, Matthews, Jamie, Wray, Gemma, Inweregbu, Ken, Cutts, Sarah, Miller, Katharine, Brady, Ailbhe, Chan, Rebekah, McIvor, Shane, Prady, Helena, Mathew, Bijoy, Little, Jeff, Furniss, Tim, Wright, Chris, King, Bernadette, Wasson, Christopher, O’Neill, Aisling, Turley, Christine, McGuigan, Peter, Collins, Erin, Finn, Stephanie, Green, Jackie, McAuley, Julie, Nair, Abitha, Quinn, Charlotte, Tauro, Suzanne, Ward, Kathryn, McGinlay, Michael, Reddy, Kiran, Ahmad, Norfaizan, Anderson, Samantha, Barker, Joann, Bauchmuller, Kris, Birchall, Kathryn, Bird, Sarah, Cawthron, Kay, Chetam, Luke, Cole, Joby, Donne, Ben, Foote, David, Ford, Amber, Hanratty, Helena, Harrington, Kate, Hesseldon, Lisa, Housley, Kay, Jackson, Yvonne, Jarman, Claire, Kibutu, Faith, Lenagh, Becky, Macharia, Irene, Masuko, Shamiso, Milner, Leanne, Newell, Helen, Nwafor, Lorenza, Oxspring, Simon, Phillips, Patrick, Raithatha, Ajay, Rowland-Jones, Sarah, Smith, Jacqui, Thompson, Roger, Trower, Helen, Walker, Sara, Watson, James, Wiles, Matthew, Lye, Alison, Willson, Jayne, Mills, Gary, Harris, Sansha, Hartill, Eleanor, Barron, Anthony, Collins, Ciara, Kaul, Sundeep, Nolan, Claire, Polgar, Oliver, Prendergast, Claire, Rogers, Paula, Shokkar, Rajvinder, Woodruff, Meriel, Mahay, Kanta, Reed, Anna, Meyrick, Hayley, Passmore, Heather, Farwell, James, O’Connell, Susan, Gregory, Jane, Barberis, Luigi, Harper, Rosemary, Smith, Tim, Armstrong, Diane, Bowey, Angie, Cowley, Anne, Corner, Andrew, Highgate, Judith, Rutherfurd, Claire, Taylor, Jo-Anne, Goodwin, Sarah, Eapen, Beena, Trim, Fiona, Donnison, Phil, Armstrong, Lisa, Bates, Hayley, Dooks, Emma, Farquhar, Fiona, Kitching, Amy, McParland, Chantal, Packham, Sophie, Hairsine, Brigid, Andreou, Premetie, Hales, Dawn, Mathews, Megha, Patel, Rekha, Barry, Peter, Flint, Neil, Hailstone, Jessica, Ghuman, Navneet, Leonard, Bethany, Lees, Rachel, Butcher, Deborah, Leng, Katy, Butterworth-Cowin, Nicola, O’Sullivan, Susie, Ghosh, Alison, Williams, Emma, Adams, Colene, Agasou, Anita, Arden, Tracie, Beekes, Mandy, Bowes, Amy, Boyle, Pauline, Button, Heather, Carnahan, Mandy, Carter, Anne, Childs, Danielle, Hurford, Fran, Hussain, Yasmin, Javaid, Ayesha, Jones, James, Leigh, Michael, Martin, Terry, Millward, Helen, Motherwell, Nichola, Newman, Julie, Rikunenko, Rachel, Stickley, Jo, Summers, Julie, Ting, Louise, Tivenan, Helen, Donaldson, Denise, Capps, Nigel, Cale, Emily, Jose, Sanal, Osbourne, Wendy, Pajak, Susie, Rankin, Jayne, Tonks, Louise, Baird, Tracy, Harkins, Margaret, Ruddy, Jim, West, Joe, Duffield, Joseph, Mallon, Lewis, Smith, Oliver, Smuts, Sara, Campbell, Andy, Davies, Cate, Davies, Sarah, Hughes, Rachel, Jobes, Lisa, Whitehead, Victoria, Watkins, Clare, Bowman, Fiona, Milligan, Barry, McPherson, Liane, Metherell, Stella, Harris, Nichola, Lake, Victoria, Radford, Elizabeth, Smallwood, Andy, Gopal, Shameer, Vassell, Katherine, Bell, Dina, Boyle, Rosalind, Douglas, Katie, Glass, Lynn, Lennon, Liz, Rattray, Austin, Lee, Emma, Jones, Danielle, Parsons, Penny, Attwood, Ben, Jefferson, Paul, Ranganathan, Mohan, Atwal, Inderjit, Campbell, Bridget, Day, Angela, Stagg, Camilla, Haynes, Emma, Ahmed, Cecilia, Clamp, Sarah, Colley, Julie, Haq, Risna, Hayes, Anne, Joseph, Sibet, Maqsood, Zahira, Hussain, Samia, Hulme, Jonathan, Domingos, Patience, Kumar, Rita, Purewal, Manjit, Taylor, Becky, Bunni, Lara, Latif, Monica, Jennings, Claire, Jose, Shilu, Marshall, Rebecca, Metryka, Aleksandra, Subramanian, Gayathri, Burgoyne, Adam, Tyler, Amanda, Waldron, Joanne, Hilltout, Paula, Evitts, Jayne, Ward, Geraldine, Bremmer, Pamela, Hawkins, Carl, Jackman, Sophie, Ogorek, Michal, Ashby, Kylie, Thornton, Lorraine, Mercer, Pauline, Halkes, Matthew, Revill, Adam, Saint, Bryony, Fletcher, Jo, Netherton, Kimberley, Chablani, Manish, Kirkby, Amy, Roper, Amanda, Szymiczek, Kinga, Sutherland, Isobel, O’Brien, Linda, Connell, Joanne, Davies, Kim, Lewis, Tracy, Omar, Zohra, Perkins, Emma, Sathe, Sonia, Davies, Ellie, Lyon, Alex, Mapfunde, Isheunesu, Willis, Charlotte, Hitchcock, Rachael, Hall, Kathryn, King, Christopher, Fagan, Andrew, Nazari, Roonak, Worsley, Lucy, Allibone, Suzanne, Kasipandian, Vidya, Patel, Amit, Cutting, Parisa, Genetu, Roman, Mac, Ainhi, Murphy, Anthony, Ward, Sinead, Butt, Fatima, Ayers, Amanda, Harrison, Wendy, Mackintosh, Katherine, North, Julie, Ashton, Lydia, Bi, Rehana, Owen, Samantha, Winmill, Helen, Scholefield, Barney, Blowing, Hannah, Williams, Erin, Duskova, Michaela, Edwards, Michelle, Rees, Alun, Thomas, Helen, Brooks, Jolene, Phipps, Janet, Brooks, Suzanne, Dennis, Catherine, Parris, Vicki, Srikaran, Sinduya, Sukha, Anisha, McGregor, Alistair, Tiongson, Gerlynn, Adams, Katie, Andrew, Benedict, Brayne, Adam, Carter, Sasha, Findlay, Louise, Fisher, Emma, Jackson, Peter, Kaye, Duncan, Parkin, Juliet, Tuckey, Victoria, Hunt, Jane, Love, Nicholas, van Koutrick, Lynne, Hanson, Ashley, Dent, Kathy, Horsley, Elizabeth, Pearson, Sandra, Spencer, Sue, Hutchinson, Dorothy, Potoczna, Dorota, Akhtar, Muhammad Nauman, Cottam, Lisa-Jayne, Sanders, Jack, Garcia, Sara Mingo, pakou, Glykeria, Filipe, Helder, Maharajh, Amitaa, de Neef, Mark, Martin, Daniel, Eastgate, Christine, Teoh, Poh Choo, Barrett, Fiona, Bradley, Clare, Donaldson, Avril, Mascarenhas, Mairi, O’Hara, Marianne, Okeefe, Laura, Clarke, Noreen, Whiteside, Jonathan, Campbell, Rachael, Matheson, Joanna, McDonald, Deborah, Patience, Donna, Rice, Polly, Clapham, Melanie, Mutch, Rachel, Craig, Hannah, Poultney, Una, Burns, Karen, Twiss, Sophie, Barton, Janet, George, Linsha, Harrop, Clare, Mathew, Sherly, Wright, David Justin, Harrison, Rachel, Toohie, Jordan, Chandler, Ben, Turnbull, Alison, Mallinson, Janine, Elliott, Kerry, Wolf-Roberts, Rebecca, Tench, Helen, Hobrok, Maria, Loosley, Ronda, McGuinness, Heather, Sims, Tanya, Afolabi, Deborah, Allison, Kathryn Sian, Anderson, Taya, Dore, Rachael, Jones, Dawn, Rogers, Naomi, Saunderson, Paula, Whitbread, Jennifer, O’Malley, Laura, Rad, Laura, Hawcutt, Daniel, Aldridge, Jonathan, Tolson, Melanie, Garrioch, Sweyn, Tomlinson, Joanne, Grosdenier, Michael, Loader, David, Kapoor, Ritoo, Hector, Gemma, Scherewode, Joslan, Sri-Chandana, Chunda, Stephenson, Lorraine, Marsh, Sarah, Rosa, Arnold Dela, Jhanji, Shaman, Bemand, Thomas, Howle, Ryan, Baikady, Ravishankar Rao, Thomas, Benjamin, Black, Ethel, Tatham, Kate, Gurram, Sambasivarao, Watson, Ekaterina, Quaid, Sheena, Saunderson, Anne, O’Brien, Rachel, Moultrie, Sam, Service, Jen, Cheyne, Clare, Odam, Miranda, Wiliams, Alison, Barnes, Nicky, Csabi, Peter, Rocha, Joana Da, Glynou, Louika, Huffenberger, Amy, Bryant, Jade, Pickard, Amy, Roe, Nicholas, Bellini, Arianna, Mayer, Anton, Burrow, Amy, Colley, Natalie, Evans, Jayne, Howlett, Alex, Khalifeh, Zeinab, Pryce, Jerldine, Gorman, Claire, Brady, Rebecca, Timlick, Elizabeth, Antoine, Pierre, Gupta, Abhinhav, Hardy, John, Houlden, Henry, Moncur, Eleanor, Tucci, Arianna, Tariq, Ambreen, Tagliavini, Emma, Ramsay, Becky, Fidler, Katy, Donnelly, Kevin, Hollis, Rebecca, Barr, Jocelyn, Boyd, Elizabeth, Irvine, Val, Shelley, Ben, Buckley, Julie, Hamilton, Charlene, Valdeavella, Kathryn, Bircham, Sarah, Liggett, Steven, Patil, Anand, Siddiq, Afshan, Goddard, Peter, Donovan, Sally, Zainy, Tala, Maleady-Crowe, Fiona, Todd, Linda, Salehi, Shahla, Elgar, Greg, Chan, Georgia, Arumugam, Prabhu, Patch, Christine, Rendon, Augusto, Bentley, David, Kingsley, Clare, Fowler, Tom A., Elliott, Paul, Tenesa, Albert, Aitkin, Emma, Aravindan, Latha, Armstrong, Ruth, Biggs, Heather, Boz, Ceilia, Brown, Adam, Chikowore, Primmy, Coutts, Audrey, Coyle, Judy, Cullum, Louise, Das, Sukamal, Day, Nicky, Donnelly, Lorna, Duncan, Esther, Finernan, Paul, Fourman, Max Head, Furlong, Anita, Furniss, James, Gallagher, Bernadette, Gilchrist, Tammy, Golightly, Ailsa, Hafezi, Katarzyna, Hamilton, Debbie, Hendry, Ross, Kearns, Naomi, Law, Dawn, Law, Rachel, Law, Sarah, Lidstone-Scott, Rebecca, Lauder, Christen, Macgillivray, Louise, Maclean, Alan, Mal, Hanning, McCafferty, Sarah, Mcmaster, Ellie, Meikle, Jen, Moore, Shona C., Murphy, Sheena, Mybaya, Hellen, Oosthuyzen, Wilna, Zheng, Chenqing, Chen, Jiantao, Paterson, Trevor, Tucker, Petra, Schon, Katherine, Stenhouse, Andrew, Das, Mihaela, Swets, Maaike, Szoor-McElhinney, Helen, Taneski, Filip, Turtle, Lance, Wackett, Tony, Ward, Mairi, Weaver, Jane, Wrobel, Nicola, Rakitko, Alexander, Ilinsky, Valery, Yermakovich, Danat, Popov, Iaroslav, Chernitsov, Alexander, Kovalenko, Elena, Vergasova, Ekaterina, Prokhorov, Alexandr, Krasnenko, Anna, Plotnikov, Nikolay, Stetsenko, Ivan, Kim, Anna, Cirulli, Elizabeth T., Schiabor Barrett, Kelly M., Bolze, Alexandre, White, Simon, Washington, Nicole L., Lu, James T., Riffle, Stephen, Tanudjaja, Francisco, Wang, Xueqing, Ramirez, Jimmy M., Leonetti, Nicole, Sandoval, Efren, Neveux, Iva, Dabe, Shaun, Grzymski, Joseph J., Joshi, Madhvi N., Dixit, Raghav D., Shah, Pranay K., Upadhyay, Kamlesh J., Chuhan, Naresh T., Desai, Kairavi J., Shah, Meenakshi R., Modi, Bhavesh, Joshi, Chaitanya G., Pandit, Ramesh J., Singh, Indra, Ansari, Afzal I., Raval, Janvi N., Patel, Zarna Z., Moreno-Estrada, Andres, Vázquez-Pérez, Joel Armando, Castillejos-López, Manuel, Aquino-Gálvez, Arnoldo, Shamah-Levy, Teresa, Ávila-Arcos, María C., Luna, María Teresa Tusié, Hidalgo-Miranda, Alfredo, Barberena-Jonas, Carmina, Quinto-Cortés, Consuelo D., Ávila-Arcos, Marco Antonio, Huerta-Chagoya, Alicia, García-García, Lourdes, Barnetche, Jesús Martinez, Alpuche-Aranda, Celia, Rivera, Juan A., Gutiérrez, Tonatiuh Barrientos, Ochoa-Guzmán, Ana, Ordoñez-Sánchez, Maria Luisa, Segura-Kato, Yayoi, Herrera-Montalvo, Luis Alonso, Mendoza-Vargas, Alfredo, Reyes-Grajeda, Juan Pablo, Cruz-Cruz, Alonso D., Velázquez-Cruz, Rafael, Torres-Espíndola, Luz María, Sierra-Vargas, Martha Patricia, Camarena, Angel, Ruiz, Víctor, Chávez-Alderete, Jaime, Jaime-Capetillo, María Esther, Guadarrama-Pérez, Cristóbal, Zúñiga-Ramos, Joaquin, Olivera-Ramírez, Alejandra, Martínez, Miguel Angel López, Serna-Muñoz, Ricardo, Garmendia, Adriana, Namkoong, Ho, Okada, Yukinori, Imoto, Seiya, Katayama, Kazuhiko, Fukunaga, Koichi, Kitagawa, Yuko, Sato, Toshiro, Hasegawa, Naoki, Kumanogoh, Atsushi, Kimura, Akinori, Ai, Masumi, Tokunaga, Katsushi, Kanai, Takanori, Miyano, Satoru, Ogawa, Seishi, Edahiro, Ryuya, Sonehara, Kyuto, Shirai, Yuya, Ishii, Makoto, Kabata, Hiroki, Masaki, Katsunori, Kamata, Hirofumi, Ikemura, Shinnosuke, Chubachi, Shotaro, Okamori, Satoshi, Terai, Hideki, Tanaka, Hiromu, Morita, Atsuho, Lee, Ho, Asakura, Takanori, Sasaki, Junichi, Morisaki, Hiroshi, Uwamino, Yoshifumi, Nanki, Kosaku, Mikami, Yohei, Tomono, Kazunori, Kato, Kazuto, Matsuda, Fumihiko, Takahashi, Meiko, Hizawa, Nobuyuki, Takeda, Yoshito, Hirata, Haruhiko, Shiroyama, Takayuki, Miyawaki, Satoru, Suzuki, Ken, Maeda, Yuichi, Nii, Takuro, Noda, Yoshimi, Niitsu, Takayuki, Adachi, Yuichi, Enomoto, Takatoshi, Amiya, Saori, Hara, Reina, Takahashi, Kunihiko, Anzai, Tatsuhiko, Hasegawa, Takanori, Ito, Satoshi, Koike, Ryuji, Endo, Akifumi, Uchimura, Yuji, Miyazaki, Yasunari, Honda, Takayuki, Tateishi, Tomoya, Tohda, Shuji, Ichimura, Naoya, Sonobe, Kazunari, Sassa, Chihiro, Nakajima, Jun, Nannya, Yasuhito, Omae, Yosuke, Takahashi, Kazuhisa, Harada, Norihiro, Hiki, Makoto, Takagi, Haruhi, Nakamura, Ai, Tagaya, Etsuko, Kawana, Masatoshi, Arimura, Ken, Ishiguro, Takashi, Takayanagi, Noboru, Isono, Taisuke, Takaku, Yotaro, Takano, Kenji, Anan, Ryusuke, Nakajima, Yukiko, Nakano, Yasushi, Nishio, Kazumi, Ueda, Soichiro, Hayashi, Reina, Tateno, Hiroki, Hase, Isano, Yoshida, Shuichi, Suzuki, Shoji, Mitamura, Keiko, Saito, Fumitake, Ueda, Tetsuya, Azuma, Masanori, Nagasaki, Tadao, Yasui, Yoshinori, Hasegawa, Yoshinori, Mutoh, Yoshikazu, Yoshiyama, Takashi, Shoko, Tomohisa, Kojima, Mitsuaki, Adachi, Tomohiro, Ishikawa, Motonao, Takahashi, Kenichiro, Watanabe, Kazuyoshi, Manabe, Tadashi, Ito, Fumimaro, Fukui, Takahiro, Funatsu, Yohei, Koh, Hidefumi, Hirai, Yoshihiro, Kawashima, Hidetoshi, Narita, Atsuya, Niwa, Kazuki, Sekikawa, Yoshiyuki, Saito, Fukuki, Yoshiya, Kazuhisa, Yoshihara, Tomoyuki, Suzuki, Yusuke, Nakayama, Sohei, Masuzawa, Keita, Nishi, Koichi, Nishitsuji, Masaru, Tani, Maiko, Inoue, Takashi, Hirano, Toshiyuki, Kobayashi, Keigo, Miyazawa, Naoki, Kimura, Yasuhiro, Sado, Reiko, Ogura, Takashi, Kitamura, Hideya, Murohashi, Kota, Nakachi, Ichiro, Baba, Rie, Arai, Daisuke, Fuke, Satoshi, Saito, Hiroshi, Kuwahara, Naota, Fujiwara, Akiko, Okada, Takenori, Baba, Tomoya, Noda, Junya, Mashimo, Shuko, Yagi, Kazuma, Shiomi, Tetsuya, Hashiguchi, Mizuha, Odani, Toshio, Mochimaru, Takao, Oyamada, Yoshitaka, Mori, Nobuaki, Izumi, Namiki, Nagata, Kaoru, Taki, Reiko, Murakami, Koji, Yamada, Mitsuhiro, Sugiura, Hisatoshi, Hayashi, Kentaro, Shimizu, Tetsuo, Gon, Yasuhiro, Fujitani, Shigeki, Tsuchida, Tomoya, Yoshida, Toru, Kagaya, Takashi, Kita, Toshiyuki, Sakagami, Satoru, Kimizuka, Yoshifumi, Kawana, Akihiko, Nakamura, Yoshihiko, Ishikura, Hiroyasu, Takata, Tohru, Kikuchi, Takahide, Taniyama, Daisuke, Nakamura, Morio, Kodama, Nobuhiro, Kaneyama, Yasunari, Maeda, Shunsuke, Nagasaki, Yoji, Okamoto, Masaki, Ishihara, Sayoko, Ito, Akihiro, Chihara, Yusuke, Takeuchi, Mayumi, Onoi, Keisuke, Hashimoto, Naozumi, Wakahara, Keiko, Ando, Akira, Masuda, Makoto, Wakabayashi, Aya, Watanabe, Hiroki, Sageshima, Hisako, Nakada, Taka-Aki, Abe, Ryuzo, Shimada, Tadanaga, Kawamura, Kodai, Ichikado, Kazuya, Nishiyama, Kenta, Yamasaki, Masaki, Hashimoto, Satoru, Kusaka, Yu, Ohba, Takehiko, Isogai, Susumu, Takada, Minoru, Kanda, Hidenori, Komase, Yuko, Sano, Fumiaki, Asano, Koichiro, Oguma, Tsuyoshi, Harada, Masahiro, Takahashi, Takeshi, Shibusawa, Takayuki, Abe, Shinji, Kono, Yuta, Togashi, Yuki, Izumo, Takehiro, Inomata, Minoru, Awano, Nobuyasu, Ogawa, Shinichi, Ogata, Tomouki, Ishihara, Shoichiro, Kanehiro, Arihiko, Ozaki, Shinji, Fuchimoto, Yasuko, Kitagawa, Yuichiro, Yoshida, Shozo, Ogura, Shinji, Nishiyama, Kei, Yoshida, Kousuke, Beppu, Satoru, Fukuyama, Satoru, Eriguchi, Yoshihiro, Yonekawa, Akiko, Inoue, Yoshiaki, Yamagata, Kunihiro, Chiba, Shigeru, Narumoto, Osamu, Nagai, Hideaki, Ooshima, Nobuharu, Motegi, Mitsuru, Sagara, Hironori, Tanaka, Akihiko, Ohta, Shin, Shibata, Yoko, Tanino, Yoshinori, Sato, Yuki, Yamada, Yuichiro, Hashino, Takuya, Shinoki, Masato, Iwagoe, Hajime, Imamura, Tomonori, Umeda, Akira, Shimada, Hisato, Endo, Mayu, Hayashi, Shinichi, Takahashi, Mai, Nakano, Shigefumi, Yatomi, Masakiyo, Maeno, Toshitaka, Ishii, Tomoo, Utsugi, Mitsuyoshi, Ono, Akihiro, Kanaoka, Kensuke, Ihara, Shoichi, Komuta, Kiyoshi, Nishida, Nao, Kawai, Yosuke, Sugiyama, Masaya, Alawneh, Laith M., Maswadeh, Kinda B., Alsoub, Fatima S., AlRawashdeh, Tala J., Esawi, Ezaldeen, Abu Alragheb, Bayan O., Maswadeh, Ahmad B., Al-Kadash, Abdulfattah, Al-Ani, Abdallah, Alsafadi, Dana B., Shahin, Mohammad A., Qtaish, Nuseibah Al, Alawneh, Fade M., Abulail, Joseph A., Zhlawi, Hadi J., Alhousani, Tasneem N., Alzuraiqi, Mohammad R., Al-Ja’afreh, Mohammad M., Allouzy, Sara K., ALjalamdeh, Mothafer, Mansour, Tareq M., Alamer, Lina M., Issa, Ali Banni, Bani younis, Fatima M., Hawari, Feras I., Hayajneh, Wail A., Obeidat, Nathir M., Ahram, Mamoun, Zhlawi, Moh’d Wahib J., Alshaer, Walhan, Al-Kasasbeh, Malak M., Naffa, Randa G., Ismail, Mohammad A., Abdullah, Mohammed S., Ismail, Said I., Obeidat, Ma’en, Hernández Cordero, Ana I., Sin, Don D., Bossé, Yohan, Joubert, Philippe, Hao, Ke, Nickle, David, Timens, Wim, van den Berge, Maarten, Feng, Yen-Chen Anne, Mercader, Josep, Weiss, Scott T., Karlson, Elizabeth W., Smoller, Jordan W., Murphy, Shawn N., Meigs, James B., Woolley, Ann E., Green, Robert C., Mandla, Ravi, Schroeder, Philip, Perez, Emma F., Lee, Seung Hyuk T., Flores-Silva, Fernando Daniel, Chiquete, Erwin, Cantú-Brito, Carlos, Sifuentes-Osornio, José, de León-Garduño, Alfredo Ponce, Román-Montes, Carla Marina, Chávez-Manzanera, Emma, Velasco, Donaji Gómez, Martagón-Rosado, Alexandro, Cruz-Bautista, Ivette, Gómez-Pérez, Francisco Javier, Díaz-Olavarrieta, Claudia, Valdés, Paloma Almeda, Muñóz-Hernández, Linda Liliana, Mehta, Roopa Pravin, Elías-López, Daniel, Tusié-Luna, Teresa, Pajukanta, Päivi, Sukhatme, Mihir G., Moreno-Macías, Hortensia, Ruth, Johnson, González-Behn-Eschenburg, Sebastián, García-Grimshaw, Miguel, Guillen-Pineda, Luz Elizabeth, de los Ángeles Vargas-Martínez, María, Rodríguez, Maribel, Rodríguez-Guillén, Rosario, Ordoñez, María Luisa, Rajme-López, Sandra, González-Lara, María Fernanda, Luna-Moreno, Dalia, de Jesús Suárez López, Jannet, Guillén-Quintero, Daniela Mariel, Vega, Juan, Duran-Coyote, Salvador, Guerra-García, María Teresa, Durán-Gómez, Michelle, Vigueras-Hernández, Alma, Ramírez-Jiménez, Marco Eduardo, Grajeda-González, Samara Lissete, Ramos-Galicia, Enrique Manuel, Ramírez-Carrillo, Martha Fernanda, Fernandez-Ruiz, Juan, Chirino-Pérez, Amanda, Romero-Molina, Ángel Omar, Zavaleta, David Alejandro Fuentes, Jaramillo, María Andrea Mac Donald, López, Katia Jarely Prieto, Incontri-Abraham, Diego, Rosado, Wendy Natalia, Catalán, María Alonso, Aguilar, Sonia Evelyn Vital, Zamudio, Ileana Paola Montero, Ruíz-Ruíz, Eduardo, de Jesús Carrera García, Kevin, Guerrero, Cristina Villarreal, Martínez, Ana Isabel Rodríguez, Moscoso-Sánchez, Rogelio, del Consuelo Rodríguez Mancilla, María, Villa, Antonio, Luna-Ramírez, Samuel Alejandro, Hernández-Hernández, Sergio, Frias, Erika, Campos, Alejandro, Morales-Sosa, Paola Alessandra, Toxqui-Merchant, Luis Enrique, García, Karla, Pasaniuc, Bogdan, Butte, Manish J., Geschwind, Daniel H., Aguilar-Salinas, Carlos A., Heidecker, Bettina, Kurth, Florian, Sander, Leif E., Skurk, Carsten, Landmesser, Ulf, Karadeniz, Zehra, Wang, Xiaomin, Poller, Wolfgang, Suwalski, Phillip, Ripke, Stephan, Braun, Alice, Kraft, Julia, Mayer, Alena, Lippert, Lena J., Helbig, Elisa T., Thibeault, Charlotte, Awasthi, Swapnil, Mbarek, Hamdi, Saad, Chadi, Al-Sarraj, Yaser, Badji, Radja Messai, Al-Muftah, Wadha, Thani, Asma Al, Afifi, Nahla, Sadiq, Fouzia, Khan, Mohammad I., Bhutta, Muhammad J., Khan, Hania, Khan, Madeeha, Ain, Quratul, Junaid, Ayesha, Khan, Ejaz A., Sypniewski, Mateusz, Lejman, Adrian, Zawadzki, Paweł, Sztromwasser, Paweł, Król, Zbigniew, Dobosz, Paula, Stojak, Joanna, Flores, Carlos, Carracedo, Ángel, Aguilar, Carlos, Arranz, María J., Baptista-Rosas, Raúl C., Bezerra, Joao F., Bezerra, Marcos A. C., Brugada, Ramón, Bustos, Matilde, Castano, Luis, Conde-Vicente, Rosa, Cordero-Lorenzana, M. Lourdes, De Martino-Rodríguez, Alba, Domínguez-Garrido, Elena, Fariñas, María Carmen, Gil-Fournier, Belén, Herrero, María José, Lattig, María Claudia, Martín-López, Caridad, Martín, Vicente, Martinez-Nieto, Oscar, Martinez-Lopez, Iciar, Mazzeu, Juliana F., Macías, Eleuterio Merayo, Cuerda, Victor Moreno, Silbiger, Vivian N., Oliveira, Silviene F., Parellada, Mara, Santos, Ney P. C., Pérez-Matute, Patricia, Perez, Patricia, Perucho, Teresa, Porras-Hurtado, Gloria L., Pujol, Aurora, Fernández-Rodríguez, Amanda, Jimenez-Sousa, María A., Rodríguez-Ruiz, Emilio, Rodriguez-Artalejo, Fernando, Rodriguez-Garcia, José A., Ruiz-Cabello, Francisco, Soria, José Manuel, Tamayo, Eduardo, Teper, Alejandro, Torres-Tobar, Lilian, Urioste, Miguel, Yáñez, Zuleima, Zarate, Ruth, Guillen-Navarro, Encarna, Ayuso, Carmen, González-Neira, Anna, Riancho, José A., Rojas-Martinez, Augusto, Lapunzina, Pablo, Cruz, Raquel, Diz-de Almeida, Silvia, Ceballos, Francisco C., Lorenzo-Salazar, José M., González-Montelongo, Rafaela, Quintela, Inés, Pita, Guillermo, Gago-Domínguez, Manuela, Porras, Marta Sevilla, Tenorio-Castaño, Jair Antonio, Nevado, Julian, Aguado, Jose María, Aguilera-Albesa, Sergio, Almadana, Virginia, Almoguera, Berta, Alvarez, Nuria, Andreu-Bernabeu, Álvaro, Arango, Celso, Artiga, Maria-Jesus, Barreda-Sánchez, María, Belhassen-Garcia, Moncef, Boix-Palop, Lucía, Brion, María, Carbonell, Cristina, Castelao, Jose E., Cortes-Sanchez, Jose L., Corton, Marta, Darnaude, M. Teresa, del Campo-Pérez, Victor, de Bustamante, Aranzazu Diaz, Luchessi, Andre D., Eiros, Rocío, Sanabria, Gladys Mercedes Estigarribia, Fernández-Robelo, Uxía, Fernández-Villa, Tania, Gómez-Arrue, Javier, Álvarez, Beatriz González, de Quirós, Fernan Gonzalez Bernaldo, González-Peñas, Javier, Gutiérrez-Bautista, Juan F., Herrero-Gonzalez, Antonio, Borja, Anabel Liger, Lopez-Rodriguez, Rosario, Mancebo, Esther, Martinez-Resendez, Michel F., Martinez-Perez, Angel, Minguez, Pablo, Ortega-Paino, Eva, Paz-Artal, Estela, Pérez-Tomás, M. Elena, Pinsach-Abuin, Mel·lina, Pompa-Mera, Ericka N., León, Soraya Ramiro, Resino, Salvador, Fernandes, Marianne R., Ruiz-Hornillos, Javier, Ryan, Pablo, Souto, Juan Carlos, Tamayo-Velasco, Alvaro, Taracido-Fernandez, Juan Carlos, Valencia-Ramos, Juan, de Heredia, Miguel López, Pedersen, Ole B., Erikstrup, Christian, Ostrowski, Sisse R., Stefansson, Kari, Mikkelsen, Susan, Sørensen, Erik, Burgos, Celia, Andersen, Steffen, Brugdorf, Kristoffer, Hansen, Thomas F., Hjalgrim, Henrik, Jemec, Gregor B., Nyegaard, Mette, Werge, Thomas, Johansson, Pär I., Didriksen, Maria, Schwinn, Michael, Jacobsen, Rikke L., Hindhede, Lotte, Rostgaard, Klaus, Gudbjartsson, Daniel, Stefánsson, Hreinn, Þorsteinsdóttir, Unnur, Nielsen, Kaspar R., Bruun, Mie Topholm, Dinh, Khoa M., Larsen, Margit A. H., Sækmose, Susanne G., Zeberg, Hugo, Nkambul, Lindo, Frithiof, Robert, Hultström, Michael, Lipcsey, Miklos, Tardif, Nicolas, Rooyackers, Olav, Grip, Jonathan, Maricic, Tomislav, Heid, Iris M., Wagner, Ralf, Überla, Klaus, Winkler, Thomas W., Wiegrebe, Simon, Gorski, Mathias, Stark, Klaus J., Peterhoff, David, Einhauser, Sebastian, Niller, Hans-Helmut, Beileke, Stephanie, Johnson, Ruth, Freimer, Nelson, Ding, Yi, Chiu, Alec, Chang, Timothy S., Boutros, Paul, Karczewski, Konrad J., Martin, Alicia R., Wilson, Daniel J., Spencer, Chris C. A., Crook, Derrick W., Wyllie, David H., O’Connell, Anne Marie, Atkinson, Elizabeth G., Tsuo, Kristin, Baya, Nikolas, Turley, Patrick, Gupta, Rahul, Walters, Raymond K., Palmer, Duncan S., Sarma, Gopal, Solomonson, Matthew, Cheng, Nathan, Lu, Wenhan, Churchhouse, Claire, Goldstein, Jacqueline I., King, Daniel, Zhou, Wei, Seed, Cotton, Daly, Mark J., Finucane, Hilary, Bryant, Sam, Satterstrom, F. Kyle, Band, Gavin, Earle, Sarah G., Lin, Shang-Kuan, Arning, Nicolas, Koelling, Nils, Armstrong, Jacob, Rudkin, Justine K., Callier, Shawneequa, Cusick, Caroline, Fernandez-Cadenas, Israel, Planas, Anna M., Perez-Tur, Jordi, Llucià-Carol, Laia, Cullell, Natalia, Muiño, Elena, Cárcel-Márquez, Jara, DeDiego, Marta L., Iglesias, Lara Lloret, Soriano, Alex, Rico, Veronica, Agüero, Daiana, Bedini, Josep L., Lozano, Francisco, Domingo, Carlos, Robles, Veronica, Ruiz-Jaén, Francisca, Márquez, Leonardo, Gomez, Juan, Coto, Eliecer, Albaiceta, Guillermo M., García-Clemente, Marta, Dalmau, David, Arranz, Maria J., Dietl, Beatriz, Serra-Llovich, Alex, Soler-Palacin, Pere, Colobran, Roger, Martin-Nalda, Andrea, Parra-Martínez, Alba, Bernardo, David, Rojo, Silvia, Fiz-López, Aida, Arribas-Rodriguez, Elisa, Cal-Sabater, Paloma, Segura, Tomás, González-Villar, Esther, Serrano-Heras, Gemma, Martí-Fàbregas, Joan, Jiménez-Xarrié, Elena, de Felipe Mimbrera, Alicia, Masjuan, Jaime, García-Madrona, Sebastian, Domínguez-Mayoral, Anna, Villalonga, Joan Montaner, and Menéndez-Valladares, Paloma
Published: 2023

16. Photon sphere and quasinormal modes in AdS/CFT

Author: Hashimoto, Koji, Sugiura, Kakeru, Sugiyama, Katsuyuki, Yoda, Takuya, Hashimoto, Koji, Sugiura, Kakeru, Sugiyama, Katsuyuki, and Yoda, Takuya
Abstract: Photon spheres are the characteristic of general black holes, thus are a suitable touchstone for the emergence of gravitational spacetime in the AdS/CFT correspondence. We provide a spectral analysis of an AdS Schwarzschild black hole near its photon sphere. We find that quasinormal modes near the photon sphere reflect the AdS boundary, resulting in a peculiar spectral pattern. Our large angular momentum analysis owes to an analogue to solvable Schr\"odinger equations such as an inverted harmonic oscillator and the P\"oschl-Teller model, with a Dirichlet boundary condition. Through the AdS/CFT dictionary, it predicts the existence of a peculiar subsector in the large angular momentum spectrum of thermal holographic CFTs on a sphere., Comment: 20 + 19 pages, 9 figures
Published: 2023

17. Natural Frequency of Lightweight Composite Slabs Based On Experimental Study and Numerical Modelling

Author: Jaini, Z. M., Sugiura, K., Abdul Kudus, S., Rum, R. H. M., Hakim, S. J. S., Abd Ghafar, N. H., Jaini, Z. M., Sugiura, K., Abdul Kudus, S., Rum, R. H. M., Hakim, S. J. S., and Abd Ghafar, N. H.
Abstract: Recently, lightweight composite slabs have become increasingly popular. Lightweight composite slabs are an innovation that provides a better and more convenient construction method for floor systems. Under dynamic loads, lightweight composite slabs may experience meagre inertia forces due to poor stiffness or low mass. Compared to conventional composite slabs, lightweight composite slabs are 40% lighter and more susceptible to structural resonance. Therefore, the vibration behaviour must be controlled to avoid discomfort issues. This study investigates the natural frequency of lightweight composite slabs through experimental study and numerical modelling. In the experimental study, lightweight composite slabs were prepared for the hammer-impact test. The slab thickness ranges from 100 mm to 200 mm. In numerical modelling, lightweight composite slabs were modelled in SAP2000 using a unique technique called the simplified equivalent plate model. The effective material properties were derived from the rule of mixtures and depend exclusively on elastic properties with strength characteristics. The results of the experimental study and numerical modelling agree positively. The natural frequency decreased with slab thickness, signifying that the natural frequency is dominated by mass rather than stiffness. Overall, the natural frequency of lightweight composite slabs is around 27.23Hz to 31.45Hz.
Published: 2023

18. Dopamine is involved in reparative dentin formation through odontoblastic differentiation of dental pulp stem cells

Author: Fujino, Shoko, Hamano, Sayuri, Tomokiyo, Atsushi, Sugiura, Risa, Yamashita, Daiki, Hasegawa, Daigaku, Sugii, Hideki, Fujii, Shinsuke, Itoyama, Tomohiro, Miyaji, Hirofumi, Maeda, Hidefumi, Fujino, Shoko, Hamano, Sayuri, Tomokiyo, Atsushi, Sugiura, Risa, Yamashita, Daiki, Hasegawa, Daigaku, Sugii, Hideki, Fujii, Shinsuke, Itoyama, Tomohiro, Miyaji, Hirofumi, and Maeda, Hidefumi
Abstract: Conventional direct pulp-capping materials induce pulp cells to secrete various biomolecules in pulp tissues that promote reparative dentin formation through induction of odontoblastic differentiation of dental pulp stem cells (DPSCs). However, these biomolecules sometimes induce bone-like dentin with poor sealing properties. Therefore, exploration of biomolecules that allow tight sealing by tubular reparative dentin is required. We recently reported that dopamine (DA) is involved in dentinogenesis. Hence, we investigated the effect of DA on odontoblastic differentiation of DPSCs and reparative dentin formation. Both tyrosine hydroxylase (TH), a DA synthetase, and DA were expressed in odontoblast-like cells in vivo. In vitro, their expression was increased during odontoblastic differentiation of DPSCs. Furthermore, TH-overexpressing DPSCs had promoted odontoblastic differentiation and DA production. Moreover, DA stimulation promoted their differentiation and induced tubular reparative dentin. These results suggest that DA produced by TH is involved in odontoblastic differentiation of DPSCs and has an inductive capacity for reparative dentin formation similar to primary dentin. This study may lead to the development of therapy to preserve vital pulp tissues.
Published: 2023

19. Activation of the pentose phosphate pathway in macrophages is crucial for granuloma formation in sarcoidosis

Author: 30769740, 30590202, 60252962, 70574408, 50335254, 50511812, 00362484, Nakamizo, Satoshi, Sugiura, Yuki, Ishida, Yoshihiro, Ueki, Yoko, Yonekura, Satoru, Tanizaki, Hideaki, Date, Hiroshi, Yoshizawa, Akihiko, Murata, Teruasa, Minatoya, Kenji, Katagiri, Mikako, Nomura, Seitaro, Komuro, Issei, Ogawa, Seishi, Nakajima, Saeko, Kambe, Naotomo, Egawa, Gyohei, Kabashima, Kenji, 30769740, 30590202, 60252962, 70574408, 50335254, 50511812, 00362484, Nakamizo, Satoshi, Sugiura, Yuki, Ishida, Yoshihiro, Ueki, Yoko, Yonekura, Satoru, Tanizaki, Hideaki, Date, Hiroshi, Yoshizawa, Akihiko, Murata, Teruasa, Minatoya, Kenji, Katagiri, Mikako, Nomura, Seitaro, Komuro, Issei, Ogawa, Seishi, Nakajima, Saeko, Kambe, Naotomo, Egawa, Gyohei, and Kabashima, Kenji
Abstract: Sarcoidosis is a disease of unknown etiology in which granulomas form throughout the body and is typically treated with glucocorticoids, but there are no approved steroid-sparing alternatives. Here, we investigated the mechanism of granuloma formation using single-cell RNA-Seq in sarcoidosis patients. We observed that the percentages of triggering receptor expressed on myeloid cells 2–positive (TREM2-positive) macrophages expressing angiotensin-converting enzyme (ACE) and lysozyme, diagnostic makers of sarcoidosis, were increased in cutaneous sarcoidosis granulomas. Macrophages in the sarcoidosis lesion were hypermetabolic, especially in the pentose phosphate pathway (PPP). Expression of the PPP enzymes, such as fructose-1, 6-bisphosphatase 1 (FBP1), was elevated in both systemic granuloma lesions and serum of sarcoidosis patients. Granuloma formation was attenuated by the PPP inhibitors in in vitro giant cell and in vivo murine granuloma models. These results suggest that the PPP may be a promising target for developing therapeutics for sarcoidosis.
Published: 2023

20. Amino acid catabolite markers for early prognostication of pneumonia in patients with COVID-19

Author: 70378769, 30590202, Maeda, Rae, Seki, Natsumi, Uwamino, Yoshifumi, Wakui, Masatoshi, Nakagama, Yu, Kido, Yasutoshi, Sasai, Miwa, Taira, Shu, Toriu, Naoya, Yamamoto, Masahiro, Matsuura, Yoshiharu, Uchiyama, Jun, Yamaguchi, Genki, Hirakawa, Makoto, Kim, Yun-Gi, Mishima, Masayo, Yanagita, Motoko, Suematsu, Makoto, Sugiura, Yuki, 70378769, 30590202, Maeda, Rae, Seki, Natsumi, Uwamino, Yoshifumi, Wakui, Masatoshi, Nakagama, Yu, Kido, Yasutoshi, Sasai, Miwa, Taira, Shu, Toriu, Naoya, Yamamoto, Masahiro, Matsuura, Yoshiharu, Uchiyama, Jun, Yamaguchi, Genki, Hirakawa, Makoto, Kim, Yun-Gi, Mishima, Masayo, Yanagita, Motoko, Suematsu, Makoto, and Sugiura, Yuki
Abstract: Effective early-stage markers for predicting which patients are at risk of developing SARS-CoV-2 infection have not been fully investigated. Here, we performed comprehensive serum metabolome analysis of a total of 83 patients from two cohorts to determine that the acceleration of amino acid catabolism within 5 days from disease onset correlated with future disease severity. Increased levels of de-aminated amino acid catabolites involved in the de novo nucleotide synthesis pathway were identified as early prognostic markers that correlated with the initial viral load. We further employed mice models of SARS-CoV2-MA10 and influenza infection to demonstrate that such de-amination of amino acids and de novo synthesis of nucleotides were associated with the abnormal proliferation of airway and vascular tissue cells in the lungs during the early stages of infection. Consequently, it can be concluded that lung parenchymal tissue remodeling in the early stages of respiratory viral infections induces systemic metabolic remodeling and that the associated key amino acid catabolites are valid predictors for excessive inflammatory response in later disease stages.
Published: 2023

21. Identification of key yeast species and microbe–microbe interactions impacting larval growth of Drosophila in the wild

Author: 50646768, Mure, Ayumi, Sugiura, Yuki, Maeda, Rae, Honda, Kohei, Sakurai, Nozomu, Takahashi, Yuuki, Watada, Masayoshi, Katoh, Toshihiko, Gotoh, Aina, Gotoh, Yasuhiro, Taniguchi, Itsuki, Nakamura, Keiji, Hayashi, Tetsuya, Katayama, Takane, Uemura, Tadashi, Hattori, Yukako, 50646768, Mure, Ayumi, Sugiura, Yuki, Maeda, Rae, Honda, Kohei, Sakurai, Nozomu, Takahashi, Yuuki, Watada, Masayoshi, Katoh, Toshihiko, Gotoh, Aina, Gotoh, Yasuhiro, Taniguchi, Itsuki, Nakamura, Keiji, Hayashi, Tetsuya, Katayama, Takane, Uemura, Tadashi, and Hattori, Yukako
Abstract: Microbiota consisting of various fungi and bacteria have a significant impact on the physiological functions of the host. However, it is unclear which species are essential to this impact and how they affect the host. This study analyzed and isolated microbes from natural food sources of Drosophila larvae, and investigated their functions. Hanseniaspora uvarum is the predominant yeast responsible for larval growth in the earlier stage of fermentation. As fermentation progresses, Acetobacter orientalis emerges as the key bacterium responsible for larval growth, although yeasts and lactic acid bacteria must coexist along with the bacterium to stabilize this host–bacterial association. By providing nutrients to the larvae in an accessible form, the microbiota contributes to the upregulation of various genes that function in larval cell growth and metabolism. Thus, this study elucidates the key microbial species that support animal growth under microbial transition.
Published: 2023

22. Telomere-to-telomere genome assembly of an allotetraploid pernicious weed, Echinochloa phyllopogon

Author: 00761107, Sato, Mitsuhiko P, Iwakami, Satoshi, Fukunishi, Kanade, Sugiura, Kai, Yasuda, Kentaro, Isobe, Sachiko, Shirasawa, Kenta, 00761107, Sato, Mitsuhiko P, Iwakami, Satoshi, Fukunishi, Kanade, Sugiura, Kai, Yasuda, Kentaro, Isobe, Sachiko, and Shirasawa, Kenta
Abstract: Echinochloa phyllopogon is an allotetraploid pernicious weed species found in rice fields worldwide that often exhibit resistance to multiple herbicides. An accurate genome sequence is essential to comprehensively understand the genetic basis underlying the traits of this species. Here, the telomere-to-telomere genome sequence of E. phyllopogon was presented. Eighteen chromosome sequences spanning 1.0 Gb were constructed using the PacBio highly fidelity long technology. Of the 18 chromosomes, 12 sequences were entirely assembled into telomere-to-telomere and gap-free contigs, whereas the remaining six sequences were constructed at the chromosomal level with only eight gaps. The sequences were assigned to the A and B genome with total lengths of 453 and 520 Mb, respectively. Repetitive sequences occupied 42.93% of the A genome and 48.47% of the B genome, although 32, 337, and 30, 889 high-confidence genes were predicted in the A and B genomes, respectively. This suggested that genome extensions and gene disruptions caused by repeated sequence accumulation often occur in the B genome before polyploidization to establish a tetraploid genome. The highly accurate and comprehensive genome sequence could be a milestone in understanding the molecular mechanisms of the pernicious traits and in developing effective weed control strategies to avoid yield loss in rice production.
Published: 2023

23. This title is unavailable for guests, please login to see more information.

Author: TATSUTA, Shota, KITANE, Yasuo, HIBI, Hideki, SATO, Akihiko, SUGIURA, Kunitomo, NISHIZAKI, Itaru, 10444415, 60991700, 70216307, TATSUTA, Shota, KITANE, Yasuo, HIBI, Hideki, SATO, Akihiko, SUGIURA, Kunitomo, NISHIZAKI, Itaru, 10444415, 60991700, and 70216307
Abstract: GFRP pultrusion-molded materials are widely used as civil engineering structural members, but they are not widely used as main structural members due to the lack of data after long-term exposure and unclear durability. In this study, static four-point bending tests were conducted to clarify the residual performance of GFRP pultrusion-molded members after long-term exposure. Specimen used in the tests were GFRP pultruded square pipes exposed outdoors for approximately 20 years and on GFRP pultruded square pipes stored indoors for the same period. As a result, authors revealed that the residual stiffness and bending load capacity of these members decreased after the exposure. It was also confirmed that the deformation behavior could be generally evaluated based on Timoshenko's beam theory even after long-term exposure. The obtained bending load capacities were compared with the calculated load capacities using the local buckling stress and elementary beam theory, and it was shown that the deterioration of the corners due to exposure may accelerate the progress of corner failure with loading and reduce the effect of rotational restraint, resulting in a smaller local buckling load capacity.
Published: 2023

24. Possible contribution of phosphate to the pathogenesis of chronic kidney disease in dolphins

Author: 30590202, Jahan, Nourin, Ohsaki, Hiroyuki, Kaneko, Kiyoko, Rahman, Asadur, Nishiyama, Takeshi, Koizumi, Makoto, Yamanaka, Shuichiro, Kitada, Kento, Sugiura, Yuki, Matsui, Kenji, Yokoo, Takashi, Hamano, Takayuki, Kuro-o, Makoto, Itou, Takuya, Suzuki, Miwa, Ueda, Keiichi, Nishiyama, Akira, 30590202, Jahan, Nourin, Ohsaki, Hiroyuki, Kaneko, Kiyoko, Rahman, Asadur, Nishiyama, Takeshi, Koizumi, Makoto, Yamanaka, Shuichiro, Kitada, Kento, Sugiura, Yuki, Matsui, Kenji, Yokoo, Takashi, Hamano, Takayuki, Kuro-o, Makoto, Itou, Takuya, Suzuki, Miwa, Ueda, Keiichi, and Nishiyama, Akira
Abstract: This study aimed to investigate whether phosphate contributes to the pathogenesis of chronic kidney disease (CKD) in dolphins. Renal necropsy tissue of an aged captive dolphin was analyzed and in vitro experiments using cultured immortalized dolphin proximal tubular (DolKT-1) cells were performed. An older dolphin in captivity died of myocarditis, but its renal function was within the normal range until shortly before death. In renal necropsy tissue, obvious glomerular and tubulointerstitial changes were not observed except for renal infarction resulting from myocarditis. However, a computed tomography scan showed medullary calcification in reniculi. Micro area X-ray diffractometry and infrared absorption spectrometry showed that the calcified areas were primarily composed of hydroxyapatite. In vitro experiments showed that treatment with both phosphate and calciprotein particles (CPPs) resulted in cell viability loss and lactate dehydrogenase release in DolKT-1 cells. However, treatment with magnesium markedly attenuated this cellular injury induced by phosphate, but not by CPPs. Magnesium dose-dependently decreased CPP formation. These data support the hypothesis that continuous exposure to high phosphate contributes to the progression of CKD in captive-aged dolphins. Our data also suggest that phosphate-induced renal injury is mediated by CPP formation in dolphins, and it is attenuated by magnesium administration.
Published: 2023

25. Therapeutic strategies for pseudoaneurysm following blunt liver and spleen injuries: a multicenter cohort study in the pediatric population

Author: 60706703, Katsura, Morihiro, Kondo, Yutaka, Yasuda, Hideto, Fukuma, Shingo, Matsushima, Kazuhide, Shiraishi, Atsushi, Tsuchiya, Asuka, Kuriyama, Akira, Gima, Masafumi, Hayashida, Kazuyuki, Miura, Naoya, Sugiura, Kenta, Toma, Keiichiro, Yasumatsu, Hiroshi, Kushimoto, Shigeki, 60706703, Katsura, Morihiro, Kondo, Yutaka, Yasuda, Hideto, Fukuma, Shingo, Matsushima, Kazuhide, Shiraishi, Atsushi, Tsuchiya, Asuka, Kuriyama, Akira, Gima, Masafumi, Hayashida, Kazuyuki, Miura, Naoya, Sugiura, Kenta, Toma, Keiichiro, Yasumatsu, Hiroshi, and Kushimoto, Shigeki
Abstract: BACKGROUND: Little guidance exists for the treatment of pseudoaneurysm following pediatric blunt liver and/or spleen injuries (BLSI). We aimed to describe the incidence of delayed pseudoaneurysm development and the subsequent clinical course of pseudoaneurysm in pediatric BLSI. METHODS: This multicenter retrospective cohort study from Japan included pediatric patients (≤16 years old) who sustained BLSI from 2008 to 2019. The cohort was divided into four groups based on hemostatic intervention within 48 hours of admission, namely non-operative management (NOM), NOM with interventional radiology (IR), operative management (OM), and combined IR/OM. Descriptive statistics were used to describe the incidence of delayed pseudoaneurysm among the groups and to characterize the clinical course of any pseudoaneurysms. RESULTS: A total of 1, 407 children (median age, 9 years) from 83 institutions were included. The overall number (incidence) of cases of delayed pseudoaneurysm formation was 80 (5.7%), and the number with delayed pseudoaneurysm rupture was 16 (1.1%) cases in the entire cohort. Patients treated with NOM (1056), NOM with IR (276), OM (53), and combined IR/OM (22) developed 43 (4.1%), 32 (12%), 2 (3.8%), and 3 (14%) delayed pseudoaneurysms, respectively. Among patients who developed any pseudoaneurysms, 39% of patients underwent prophylactic IR for unruptured pseudoaneurysm, while 13% required emergency angioembolization for delayed pseudoaneurysm rupture, with one ruptured case requiring total splenectomy. At least 45% of patients experienced spontaneous resolution of pseudoaneurysm without any interventions. CONCLUSION: Our results suggest that the risk of delayed pseudoaneurysm still exists even after acute phase IR as an adjunct to NOM for BLSI in children, indicating the necessity of a period of further observation. While endovascular interventions are usually successful for pseudoaneurysm management, including rupture cases, given the high incidence of sponta
Published: 2023

26. Rab33a Mediates Anterograde Vesicular Transport for Membrane Exocytosis and Axon Outgrowth

Author: Nakazawa, Hitomi, Sada, Tadayuki, Toriyama, Michinori, Tago, Kenji, Sugiura, Tadao, Fukuda, Mitsunori, Inagaki, Naoyuki, Nakazawa, Hitomi, Sada, Tadayuki, Toriyama, Michinori, Tago, Kenji, Sugiura, Tadao, Fukuda, Mitsunori, and Inagaki, Naoyuki
Abstract: Axon outgrowth requires plasma membrane expansion, which results from post-Golgi vesicular transport and fusion. However, the molecular mechanisms regulating post-Golgi vesicular trafficking for membrane expansion and axon outgrowth remain unclear. Here, we show that Rab33a expression became upregulated during axon outgrowth of cultured rat hippocampal neurons. Rab33a was preferentially localized to the Golgi apparatus and to synaptophysin-positive vesicles that are transported along the growing axon. Previous studies showed that synaptophysin is localized to post-Golgi vesicles transported by fast axonal transport in developing neurons. Reduction of Rab33a expression by RNAi (RNA interference) inhibited the anterograde transport of synaptophysin-positive vesicles, leading to their decrease in axonal tips. Furthermore, this treatment reduced membrane fusion of synaptophysin-positive vesicles at the growth cones and inhibited axon outgrowth. Overexpression of Rab33a, on the other hand, induced excessive accumulation of synaptophysin-positive vesicles and concurrent formation of surplus axons. These data suggest that Rab33a participates in axon outgrowth by mediating anterograde axonal transport of synaptophysin-positive vesicles and their concomitant fusion at the growth cones.
Published: 2023

27. Shootin1-cortactin interaction mediates signal-force transduction for axon outgrowth

Author: Kubo, Yusuke, Baba, Kentarou, Toriyama, Michinori, Minegishi, Takunori, Sugiura, Tadao, Kozawa, Satoshi, Ikeda, Kazushi, Inagaki, Naoyuki, Kubo, Yusuke, Baba, Kentarou, Toriyama, Michinori, Minegishi, Takunori, Sugiura, Tadao, Kozawa, Satoshi, Ikeda, Kazushi, and Inagaki, Naoyuki
Abstract: Motile cells transduce environmental chemical signals into mechanical forces to achieve properly controlled migration. This signal-force transduction is thought to require regulated mechanical coupling between actin filaments (F-actins), which undergo retrograde flow at the cellular leading edge, and cell adhesions via linker "clutch" molecules. However, the molecular machinery mediating this regulatory coupling remains unclear. Here we show that the F-actin binding molecule cortactin directly interacts with a clutch molecule, shootin1, in axonal growth cones, thereby mediating the linkage between F-actin retrograde flow and cell adhesions through L1-CAM. Shootin1-cortactin interaction was enhanced by shootin1 phosphorylation by Pak1, which is activated by the axonal chemoattractant netrin-1. We provide evidence that shootin1-cortactin interaction participates in netrin-1-induced F-actin adhesion coupling and in the promotion of traction forces for axon outgrowth. Under cell signaling, this regulatory F-actin adhesion coupling in growth cones cooperates with actin polymerization for efficient cellular motility.
Published: 2023

28. Shootin1 interacts with actin retrograde flow and L1-CAM to promote axon outgrowth

Author: Shimada, Tadayuki, Toriyama, Michinori, Uemura, Kaori, Kamiguchi, Hiroyuki, Sugiura, Tadao, Watanabe, Naoki, Inagaki, Naoyuki, Shimada, Tadayuki, Toriyama, Michinori, Uemura, Kaori, Kamiguchi, Hiroyuki, Sugiura, Tadao, Watanabe, Naoki, and Inagaki, Naoyuki
Abstract: Actin polymerizes near the leading edge of nerve growth cones, and actin filaments show retrograde movement in filopodia and lamellipodia. Linkage between actin filament retrograde flow and cell adhesion molecules (CAMs) in growth cones is thought to be one of the mechanisms for axon outgrowth and guidance. However, the molecular basis for this linkage remains elusive. Here, we show that shootin1 interacts with both actin filament retrograde flow and L1-CAM in axonal growth cones of cultured rat hippocampal neurons, thereby mediating the linkage between them. Impairing this linkage, either by shootin1 RNA interference or disturbing the interaction between shootin1 and actin filament flow, inhibited L1-dependent axon outgrowth, whereas enhancing the linkage by shootin1 overexpression promoted neurite outgrowth. These results strengthen the actin flow-CAM linkage model (clutch model) for axon outgrowth and suggest that shootin1 is a key molecule involved in this mechanism.
Published: 2023

29. Fabrication of Hollow Structures in Photodegradable Hydrogels Using a Multi-Photon Excitation Process for Blood Vessel Tissue Engineering

Author: Watanabe, Uran, Sugiura, Shinji, Kakehata, Masayuki, Yanagawa, Fumiki, Takagi, Toshiyuki, Sumaru, Kimio, Satoh, Taku, Tamura, Masato, Hosokawa, Yoichiroh, Torizuka, Kenji, Kanamori, Toshiyuki, Watanabe, Uran, Sugiura, Shinji, Kakehata, Masayuki, Yanagawa, Fumiki, Takagi, Toshiyuki, Sumaru, Kimio, Satoh, Taku, Tamura, Masato, Hosokawa, Yoichiroh, Torizuka, Kenji, and Kanamori, Toshiyuki
Abstract: Engineered blood vessels generally recapitulate vascular function in vitro and can be utilized in drug discovery as a novel microphysiological system. Recently, various methods to fabricate vascular models in hydrogels have been reported to study the blood vessel functions in vitro; however, in general, it is difficult to fabricate hollow structures with a designed size and structure with a tens of micrometers scale for blood vessel tissue engineering. This study reports a method to fabricate the hollow structures in photodegradable hydrogels prepared in a microfluidic device. An infrared femtosecond pulsed laser, employed to induce photodegradation via multi-photon excitation, was scanned in the hydrogel in a program-controlled manner for fabricating the designed hollow structures. The photodegradable hydrogel was prepared by a crosslinking reaction between an azide-modified gelatin solution and a dibenzocyclooctyl-terminated photocleavable tetra-arm polyethylene glycol crosslinker solution. After assessing the composition of the photodegradable hydrogel in terms of swelling and cell adhesion, the hydrogel prepared in the microfluidic device was processed by laser scanning to fabricate linear and branched hollow structures present in it. We introduced a microsphere suspension into the fabricated structure in photodegradable hydrogels, and confirmed the fabrication of perfusable hollow structures of designed patterns via the multi-photon excitation process.
Published: 2023

30. Mass production system for RNA-loaded lipid nanoparticles using piling up microfluidic devices

Author: Maeki, Masatoshi, Okada, Yuto, Uno, Shuya, Sugiura, Kaisei, Suzuki, Yuichi, Okuda, Kento, 1000010735624, Sato, Yusuke, Ando, Masao, Yamazaki, Hiroyuki, Takeuchi, Masaki, 1000020312382, Ishida, Akihiko, 1000010271644, Tani, Hirofumi, 1000000183567, Harashima, Hideyoshi, 1000060311437, Tokeshi, Manabu, Maeki, Masatoshi, Okada, Yuto, Uno, Shuya, Sugiura, Kaisei, Suzuki, Yuichi, Okuda, Kento, 1000010735624, Sato, Yusuke, Ando, Masao, Yamazaki, Hiroyuki, Takeuchi, Masaki, 1000020312382, Ishida, Akihiko, 1000010271644, Tani, Hirofumi, 1000000183567, Harashima, Hideyoshi, 1000060311437, and Tokeshi, Manabu
Abstract: Microfluidic devices are widely used in lipid nanoparticle (LNP)-based vaccines and nanomedicine research. These devices should be stiff enough to withstand the high flow rate for the mass production of LNPs, and malleable enough to use when fabricating complicated microchannel or micromixer structures, such as stag-gering herringbone micromixers. Due to the limitations of the available fabrication methods, optimal micro -fluidic devices have not yet been developed. In this study, we report the development of a glass-based microfluidic device based on the invasive Lipid Nanoparticle Production (iLiNP) device (R) reported previously. The LNP size controllability of glass-based iLiNP device was similar to that of the poly(dimethylsiloxane) (PDMS)-based iLiNP device, and the glass-iLiNP device was used for mRNA-loaded LNP production with ionizable lipids used for COVID-19 mRNA vaccines. We also demonstrate a piling-and numbering-up strategy based on glass-iLiNP device. The iLiNP unit composed of five-layered microchannels was fabricated by piling-up each glass-iLiNP device followed by parallelization (numbering-up) for the mass production of LNPs. This iLiNP system can produce LNPs with sizes ranging between 20 and 60 nm at a flow rate of 20-50 mL/min, and its performance is comparable to that of the commercially available microfluidic system like NanoAssemblr (R).
Published: 2023

31. Hematopoietic stem cell-derived Tregs are essential for maintaining favorable B cell lymphopoiesis following posttransplant cyclophosphamide

Author: Sumii, Yuichi, Kondo, Takumi, Ikegawa, Shuntaro, Fukumi, Takuya, Iwamoto, Miki, Nishimura, Midori Filiz, Sugiura, Hiroyuki, Sando, Yasuhisa, Nakamura, Makoto, Meguri, Yusuke, Matsushita, Takashi, Tanimine, Naoki, Kimura, Maiko, Asada, Noboru, Ennishi, Daisuke, Maeda, Yoshinobu, Matsuoka, Ken-Ichi, Sumii, Yuichi, Kondo, Takumi, Ikegawa, Shuntaro, Fukumi, Takuya, Iwamoto, Miki, Nishimura, Midori Filiz, Sugiura, Hiroyuki, Sando, Yasuhisa, Nakamura, Makoto, Meguri, Yusuke, Matsushita, Takashi, Tanimine, Naoki, Kimura, Maiko, Asada, Noboru, Ennishi, Daisuke, Maeda, Yoshinobu, and Matsuoka, Ken-Ichi
Abstract: Posttransplant cyclophosphamide (PTCy) is associated with a low incidence of chronic graft -versus-host disease (cGVHD) following hematopoietic stem cell (HSC) transplantation. Previous studies have shown the important roles of B cell immunity in cGVHD development. Here, we investigated the long-term reconstitution of B lymphopoiesis after PTCy using murine models. We first demonstrated that the immune homeostatic abnormality leading to cGVHD is characterized by an initial increase in effector T cells in the bone marrow and subsequent B and Treg cytopenia. PTCy, but not cyclosporine A or rapamycin, inhibits the initial alloreactive T cell response, which restores intra-bone marrow B lymphogenesis with a concomitant vigorous increase in Tregs. This leads to profound changes in posttransplant B cell homeostasis, including decreased B cell activating factors, increased transitional and regulatory B cells, and decreased germinal center B cells. To identify the cells responsible for PTCy-induced B cell tolerance, we selectively depleted Treg populations that were graft or HSC derived using DEREG mice. Deletion of either Treg population without PTCy resulted in critical B cytopenia. PTCy rescued B lymphopoiesis from graft-derived Treg deletion. In contrast, the negative effect of HSC-derived Treg deletion could not be overcome by PTCy, indicating that HSC-derived Tregs are essential for maintaining favorable B lymphopoiesis following PTCy. These findings define the mechanisms by which PTCy restores homeostasis of the B cell lineage and reestablishes immune tolerance.
Published: 2023

32. Automated detection method of thoracic aorta calcification from non-contrast CT images using mediastinal anatomical label map

Author: Suzuki, Hidenobu, Kawata, Yoshiki, Sugiura, Toshihiko, Tanabe, Nobuhiro, Matsumoto, Yuji, Tsuchida, Takaaki, Kusumoto, Masahiko, Marumo, Kazuyoshi, Kaneko, Masahiro, Niki, Noboru, Suzuki, Hidenobu, Kawata, Yoshiki, Sugiura, Toshihiko, Tanabe, Nobuhiro, Matsumoto, Yuji, Tsuchida, Takaaki, Kusumoto, Masahiko, Marumo, Kazuyoshi, Kaneko, Masahiro, and Niki, Noboru
Abstract: Progression of thoracic aortic calcification (TAC) has been shown to be associated with hard cardiovascular events including stroke and all-cause mortality as well as coronary events. In this study, we propose an automated detection method of TACs of non-contrast CT images using mediastinal anatomical label map. This method consists of two steps: (1) the construction of a mediastinal anatomical label map, and (2) the detection of TACs using the intensity and the mediastinal anatomical label map. The proposed method was applied to two non-contrast CT image datasets: 24 cases of chronic thromboembolic pulmonary hypertension (CTEPH) and 100 non-CTEPH cases of low-dose CT screening. The method was compared with two-dimensional U-Nets and the Swin UNETR. The results showed that the method achieved significantly higher F1 score of 0.937 than other methods for the non-CTEPH case dataset (p-value < 0.05, pairwise Wilcoxon signed rank test with Bonferroni correction).
Published: 2023

33. Computational Study on the Thermal Conductivity of a Protein

Author: Yamato, Takahisa, Wang, Tingting, Sugiura, Wataru, Laprévote, Olivier, Katagiri, Takahiro, Yamato, Takahisa, Wang, Tingting, Sugiura, Wataru, Laprévote, Olivier, and Katagiri, Takahiro
Abstract: Protein molecules are thermally fluctuating and tightly packed amino acid residues strongly interact with each other. Such interactions are characterized in terms of heat current at the atomic level. We calculated the thermal conductivity of a small globular protein, villin headpiece subdomain, based on the linear response theory using equilibrium molecular dynamics simulation. The value of its thermal conductivity was 0.3 ± 0.01 [W m^–1 K^–1], which is in good agreement with experimental and computational studies on the other proteins in the literature. Heat current along the main chain was dominated by local vibrations in the polypeptide bonds, with amide I, II, III, and A bands on the Fourier transform of the heat current autocorrelation function.
Published: 2023

34. Characterization of Reproductive Microbiota of Primiparous Cows During Early Postpartum Periods in the Presence and Absence of Endometritis

Author: Kudo, Hayami, Sugiura, Tomochika, Higashi, Seiya, Oka, Kentaro, Takahashi, Motomichi, Kamiya, Shigeru, Tamura, Yutaka, Usui, Masaru, Kudo, Hayami, Sugiura, Tomochika, Higashi, Seiya, Oka, Kentaro, Takahashi, Motomichi, Kamiya, Shigeru, Tamura, Yutaka, and Usui, Masaru
Abstract: type:Article, Endometritis has a major impact on fertility in postpartum dairy cows. Since previous studies showed an association between reproductive microbiota and perinatal disease, we monitored both bovine uterine and vaginal microbiota in primiparous cows to elucidate the effect of early postpartum microbiota on endometritis. Uterine and vaginal samples were collected at time points from pre-calving to 35 days postpartum (DPP), and analyzed by 16S rRNA sequencing, combined with ancillary bacterial culture. A total of seven healthy cows and seven cows diagnosed with endometritis on 35 DPP were used in the current study. The uterine and vaginal microbiota showed a maximum of 20.1% shared amplicon sequence variants (ASVs) at linked time points. 16S rRNA based analysis and traditional culture methods revealed that Trueperella showed a higher abundance in both uterus and vagina of the endometritis group compared to the healthy group on 21 DPP (U-test p < 0.05). Differential abundance analysis of the uterine microbiota showed that Enterococcus and six bacterial genera including Bifidobacterium were unique to the healthy group on the day of calving (0 DPP) and 28 DPP, respectively. In contrast, Histophilus and Mogibacteriaceae were characteristic bacteria in the vagina pre-calving in cows that later developed endometritis, suggesting that these bacteria could be valuable to predict clinical outcomes. Comparing the abundances of bacterial genera in the uterine microbiota, a negative correlation was observed between Trueperella and several bacteria including Lactobacillus. These results suggest that building an environment where there is an increase in bacteria that are generally recognized as beneficial, such as Lactobacillus, may be one possible solution to reduce the abundance of Trueperella and control endometritis.
Published: 2023

35. Virucidal Effect of the Mesoscopic Structure of CAC-717 on Severe Acute Respiratory Syndrome Coronavirus-2

Author: Yokoyama, Takashi, Nishimura, Tomoyasu, Uwamino, Yoshifumi, Kosaki, Kenjiro, Furusaki, Koichi, Onishi, Rumiko, Onodera, Takashi, Haritani, Makoto, Sugiura, Katsuaki, Kirisawa, Rikio, Hasegawa, Naoki, Yokoyama, Takashi, Nishimura, Tomoyasu, Uwamino, Yoshifumi, Kosaki, Kenjiro, Furusaki, Koichi, Onishi, Rumiko, Onodera, Takashi, Haritani, Makoto, Sugiura, Katsuaki, Kirisawa, Rikio, and Hasegawa, Naoki
Abstract: type:Article, Here, the virucidal effect of calcium bicarbonate with a mesoscopic structure (CAC-717) on severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) was determined. Assays showed that CAC-717 had a strong virucidal effect on all examined SARS-CoV-2 isolates, including variant strains. The viral infectivity decreased within 15 s, and the virucidal activity of CAC-717 at a 1:49 ratio was similar to that of ethanol disinfectant. CAC-717 neutralization eliminated this virucidal effect, indicating that the alkaline condition of CAC-717 is important for virus inactivation and is an indicator of its mesoscopic structure and virucidal activity. The virucidal effect was observed in the presence of organic matter (bovine serum albumin). CAC-717 is a non-invasive and non-flammable substance with a low environmental burden, and its usefulness as a novel disinfectant has been confirmed.
Published: 2023

36. Serum MMP-9 in Females Have Higher Correlation with DWI-Positive Findings for Carotid Artery Stenting than in Males

Author: Yoshihiro, Tanaka, Tomoji, Takigawa, Kei, Synmyo, Toru, Anazawa, Yoshiyuki, Matsumoto, Yoshiko, Fujii, Takahiro, Kanaya, Yasuhiko, Nariai, Yoshiki, Sugiura, Yosuke, Kawamura, Ryotaro, Suzuki, Issei, Takano, Akio, Hyodo, Masaya, Nagaishi, Kensuke, Suzuki, Yoshihiro, Tanaka, Tomoji, Takigawa, Kei, Synmyo, Toru, Anazawa, Yoshiyuki, Matsumoto, Yoshiko, Fujii, Takahiro, Kanaya, Yasuhiko, Nariai, Yoshiki, Sugiura, Yosuke, Kawamura, Ryotaro, Suzuki, Issei, Takano, Akio, Hyodo, Masaya, Nagaishi, and Kensuke, Suzuki
Abstract: Introduction: Embolus due to plaque rupture is a risk of cerebral infarction for carotid artery stenting (CAS). Female have been controversial as a risk factor for cardiovascular interventions in recent years. MMP-9 has been previously reported to be associated with acute ischemic stroke and to be a potential marker for arteriosclerosis.Therefore, this paper aimed to investigate the gender difference of embolic complications for CAS using MMP-9.Material and Methods: We analyzed 46 consecutive cases of CAS performed with distal balloon protection, including 34 males and 12 females. Serum levels of matrix metalloproteinase (MMP) -9 were measured before and after CAS. Embolic events were examined in Diffusion Weighted Imaging (DWI) on MRI the next day after CAS.Results: 13 cases (28.3%) had DWI-positive findings after CAS, and these results showed a significant gender difference (female 58.3% vs. male 17.6%, p < 0.05). Pre-CAS MMP-9 was significantly higher in females than in males (661.7 vs. 428.1 ng/ml, p < 0.05).Pre-CAS MMP-9 tended to be higher in DWI-positive cases than DWI-negative cases with no significant difference (676.9 vs. 415.0 ng/ml, p = 0.051).Conclusion: High serum MMP-9 in female have correlation with DWI positive findings after CAS. We suggest that high serum MMP-9 have a risk of cerebral infarction for CAS. Considering the results, CAS should be carefully performed, especially in female.
Published: 2023

37. Opportunities and barriers to translating the hibernation phenotype for neurocritical care.

Author: Drew, Kelly L, Drew, Kelly L, Bhowmick, Saurav, Laughlin, Bernard W, Goropashnaya, Anna V, Tøien, Øivind, Sugiura, M Hoshi, Wong, Ardy, Pourrezaei, Kambiz, Barati, Zeinab, Chen, Chao-Yin, Drew, Kelly L, Drew, Kelly L, Bhowmick, Saurav, Laughlin, Bernard W, Goropashnaya, Anna V, Tøien, Øivind, Sugiura, M Hoshi, Wong, Ardy, Pourrezaei, Kambiz, Barati, Zeinab, and Chen, Chao-Yin
Abstract: Targeted temperature management (TTM) is standard of care for neonatal hypoxic ischemic encephalopathy (HIE). Prevention of fever, not excluding cooling core body temperature to 33°C, is standard of care for brain injury post cardiac arrest. Although TTM is beneficial, HIE and cardiac arrest still carry significant risk of death and severe disability. Mammalian hibernation is a gold standard of neuroprotective metabolic suppression, that if better understood might make TTM more accessible, improve efficacy of TTM and identify adjunctive therapies to protect and regenerate neurons after hypoxic ischemia brain injury. Hibernating species tolerate cerebral ischemia/reperfusion better than humans and better than other models of cerebral ischemia tolerance. Such tolerance limits risk of transitions into and out of hibernation torpor and suggests that a barrier to translate hibernation torpor may be human vulnerability to these transitions. At the same time, understanding how hibernating mammals protect their brains is an opportunity to identify adjunctive therapies for TTM. Here we summarize what is known about the hemodynamics of hibernation and how the hibernating brain resists injury to identify opportunities to translate these mechanisms for neurocritical care.
Published: 2023

38. A clinicopathological analysis of forkhead box A1 (FOXA1) and estrogen receptor alpha expression in extramammary Paget’s disease

Author: Sumitomo, Chiho, Iwata, Yohei, Arima, Masaru, Sugiura, Kazumitsu, Sumitomo, Chiho, Iwata, Yohei, Arima, Masaru, and Sugiura, Kazumitsu
Published: 2023

39. Effects of Pilates Exercise on Age-Related Kyphosis

Author: Fujitani, Junzo, Yamashita, Kazuta, Tezuka, Fumitake, Sugiura, Kosuke, Sairyo, Koichi, Fujitani, Junzo, Yamashita, Kazuta, Tezuka, Fumitake, Sugiura, Kosuke, and Sairyo, Koichi
Abstract: This report describes a case in which Pilates exercise was used successfully to treat age-related kyphosis. The patient was a 72-year-old woman who presented to us complaining of abnormal posture and being unable to stand for more than 3 min without using a walker or cane. A standing lateral plain radiograph showed kyphotic deformity of the thoracic spine and a C7 sagittal vertical axis to be 185 mm. We recommended thoracic to iliac spinal correction and fusion surgery. However, the patient opted for conservative treatment, so was referred for rehabilitation. Her kyphosis was flexible, with a decrease in the thoracic kyphosis angle from about 50 degrees in the standing position to about 10 degrees in the lying position. The basic concept when using Pilates exercise for rehabilitation in patients with kyphosis is stretching of the ventral aspect of the body and strengthening exercises for the dorsal aspect of the spine. After 4 weeks of rehabilitation, the patient’s posture became more upright and she could stand without support for more than 10 min. Even though we have had only one such case, our experience is that Pilates exercise can be a useful rehabilitation tool for patients with age-related kyphosis.
Published: 2023

40. Big-Volume SliceGAN for Improving a Synthetic 3D Microstructure Image of Additive-Manufactured TYPE 316L Steel

Author: Sugiura, Keiya, 1000010708910, Ogawa, Toshio, 1000090370311, Adachi, Yoshitaka, 1000000836562, Sun, Fei, 1000090802603, Suzuki, Asuka, 1000050542198, Yamanaka, Akinori, 1000050380580, Nakada, Nobuo, 1000050508835, Ishimoto, Takuya, 1000030243182, 0000-0001-8052-1698, Nakano, Takayoshi, 1000010322174, 0000-0001-7061-7135, Koizumi, Yuichiro, Sugiura, Keiya, 1000010708910, Ogawa, Toshio, 1000090370311, Adachi, Yoshitaka, 1000000836562, Sun, Fei, 1000090802603, Suzuki, Asuka, 1000050542198, Yamanaka, Akinori, 1000050380580, Nakada, Nobuo, 1000050508835, Ishimoto, Takuya, 1000030243182, 0000-0001-8052-1698, Nakano, Takayoshi, 1000010322174, 0000-0001-7061-7135, and Koizumi, Yuichiro
Abstract: Sugiura K., Ogawa T., Adachi Y., et al. Big-Volume SliceGAN for Improving a Synthetic 3D Microstructure Image of Additive-Manufactured TYPE 316L Steel. Journal of Imaging 9, 90 (2023); https://doi.org/10.3390/jimaging9050090., A modified SliceGAN architecture was proposed to generate a high-quality synthetic three-dimensional (3D) microstructure image of TYPE 316L material manufactured through additive methods. The quality of the resulting 3D image was evaluated using an auto-correlation function, and it was discovered that maintaining a high resolution while doubling the training image size was crucial in creating a more realistic synthetic 3D image. To meet this requirement, modified 3D image generator and critic architecture was developed within the SliceGAN framework.
Published: 2023

41. Recommendations on data sharing in HIV drug resistance research.

Author: Avila-Rios, Santiago, Avila-Rios, Santiago, Ayitewala, Alisen, Bosch, Ronald, Calvez, Vincent, Ceccherini-Silberstein, Francesca, Charpentier, Charlotte, Descamps, Diane, Eshleman, Susan, Fokam, Joseph, Frenkel, Lisa, Gupta, Ravindra, Ioannidis, John, Kaleebu, Pontiano, Kantor, Rami, Kassaye, Seble, Kosakovsky Pond, Sergei, Kouamou, Vinie, Kouyos, Roger, Kuritzkes, Daniel, Lessells, Richard, Marcelin, Anne-Genevieve, Mbuagbaw, Lawrence, Inzaule, Seth, Siedner, Mark, Minalga, Brian, Ndembi, Nicaise, Neher, Richard, Paredes, Roger, Pillay, Deenan, Raizes, Elliot, Rhee, Soo-Yon, Ruxrungtham, Kiat, Sabeti, Pardis, Schapiro, Jonathan, Sirivichayakul, Sunee, Steegen, Kim, Sugiura, Wataru, van Zyl, Gert, Vandamme, Anne-Mieke, Wensing, Annemarie, Wertheim, Joel, Gunthard, Huldrych, Jordan, Michael, Shafer, Robert, Little, Susan, Richman, Douglas, Avila-Rios, Santiago, Avila-Rios, Santiago, Ayitewala, Alisen, Bosch, Ronald, Calvez, Vincent, Ceccherini-Silberstein, Francesca, Charpentier, Charlotte, Descamps, Diane, Eshleman, Susan, Fokam, Joseph, Frenkel, Lisa, Gupta, Ravindra, Ioannidis, John, Kaleebu, Pontiano, Kantor, Rami, Kassaye, Seble, Kosakovsky Pond, Sergei, Kouamou, Vinie, Kouyos, Roger, Kuritzkes, Daniel, Lessells, Richard, Marcelin, Anne-Genevieve, Mbuagbaw, Lawrence, Inzaule, Seth, Siedner, Mark, Minalga, Brian, Ndembi, Nicaise, Neher, Richard, Paredes, Roger, Pillay, Deenan, Raizes, Elliot, Rhee, Soo-Yon, Ruxrungtham, Kiat, Sabeti, Pardis, Schapiro, Jonathan, Sirivichayakul, Sunee, Steegen, Kim, Sugiura, Wataru, van Zyl, Gert, Vandamme, Anne-Mieke, Wensing, Annemarie, Wertheim, Joel, Gunthard, Huldrych, Jordan, Michael, Shafer, Robert, Little, Susan, and Richman, Douglas
Abstract: • Human immunodeficiency virus (HIV) drug resistance has implications for antiretroviral treatment strategies and for containing the HIV pandemic because the development of HIV drug resistance leads to the requirement for antiretroviral drugs that may be less effective, less well-tolerated, and more expensive than those used in first-line regimens. • HIV drug resistance studies are designed to determine which HIV mutations are selected by antiretroviral drugs and, in turn, how these mutations affect antiretroviral drug susceptibility and response to future antiretroviral treatment regimens. • Such studies collectively form a vital knowledge base essential for monitoring global HIV drug resistance trends, interpreting HIV genotypic tests, and updating HIV treatment guidelines. • Although HIV drug resistance data are collected in many studies, such data are often not publicly shared, prompting the need to recommend best practices to encourage and standardize HIV drug resistance data sharing. • In contrast to other viruses, sharing HIV sequences from phylogenetic studies of transmission dynamics requires additional precautions as HIV transmission is criminalized in many countries and regions. • Our recommendations are designed to ensure that the data that contribute to HIV drug resistance knowledge will be available without undue hardship to those publishing HIV drug resistance studies and without risk to people living with HIV.
Published: 2023

42. Computational Study on the Thermal Conductivity of a Protein

Author: Yamato, Takahisa, Wang, Tingting, Sugiura, Wataru, Laprévote, Olivier, Katagiri, Takahiro, Yamato, Takahisa, Wang, Tingting, Sugiura, Wataru, Laprévote, Olivier, and Katagiri, Takahiro
Abstract: Protein molecules are thermally fluctuating and tightly packed amino acid residues strongly interact with each other. Such interactions are characterized in terms of heat current at the atomic level. We calculated the thermal conductivity of a small globular protein, villin headpiece subdomain, based on the linear response theory using equilibrium molecular dynamics simulation. The value of its thermal conductivity was 0.3 ± 0.01 [W m^–1 K^–1], which is in good agreement with experimental and computational studies on the other proteins in the literature. Heat current along the main chain was dominated by local vibrations in the polypeptide bonds, with amide I, II, III, and A bands on the Fourier transform of the heat current autocorrelation function.
Published: 2023

43. Serum MMP-9 in Females Have Higher Correlation with DWI-Positive Findings for Carotid Artery Stenting than in Males

Author: Yoshihiro, Tanaka, Tomoji, Takigawa, Kei, Synmyo, Toru, Anazawa, Yoshiyuki, Matsumoto, Yoshiko, Fujii, Takahiro, Kanaya, Yasuhiko, Nariai, Yoshiki, Sugiura, Yosuke, Kawamura, Ryotaro, Suzuki, Issei, Takano, Akio, Hyodo, Masaya, Nagaishi, Kensuke, Suzuki, Yoshihiro, Tanaka, Tomoji, Takigawa, Kei, Synmyo, Toru, Anazawa, Yoshiyuki, Matsumoto, Yoshiko, Fujii, Takahiro, Kanaya, Yasuhiko, Nariai, Yoshiki, Sugiura, Yosuke, Kawamura, Ryotaro, Suzuki, Issei, Takano, Akio, Hyodo, Masaya, Nagaishi, and Kensuke, Suzuki
Abstract: Introduction: Embolus due to plaque rupture is a risk of cerebral infarction for carotid artery stenting (CAS). Female have been controversial as a risk factor for cardiovascular interventions in recent years. MMP-9 has been previously reported to be associated with acute ischemic stroke and to be a potential marker for arteriosclerosis.Therefore, this paper aimed to investigate the gender difference of embolic complications for CAS using MMP-9.Material and Methods: We analyzed 46 consecutive cases of CAS performed with distal balloon protection, including 34 males and 12 females. Serum levels of matrix metalloproteinase (MMP) -9 were measured before and after CAS. Embolic events were examined in Diffusion Weighted Imaging (DWI) on MRI the next day after CAS.Results: 13 cases (28.3%) had DWI-positive findings after CAS, and these results showed a significant gender difference (female 58.3% vs. male 17.6%, p < 0.05). Pre-CAS MMP-9 was significantly higher in females than in males (661.7 vs. 428.1 ng/ml, p < 0.05).Pre-CAS MMP-9 tended to be higher in DWI-positive cases than DWI-negative cases with no significant difference (676.9 vs. 415.0 ng/ml, p = 0.051).Conclusion: High serum MMP-9 in female have correlation with DWI positive findings after CAS. We suggest that high serum MMP-9 have a risk of cerebral infarction for CAS. Considering the results, CAS should be carefully performed, especially in female.
Published: 2023

44. Hematopoietic stem cell-derived Tregs are essential for maintaining favorable B cell lymphopoiesis following posttransplant cyclophosphamide

Author: Sumii, Yuichi, Kondo, Takumi, Ikegawa, Shuntaro, Fukumi, Takuya, Iwamoto, Miki, Nishimura, Midori Filiz, Sugiura, Hiroyuki, Sando, Yasuhisa, Nakamura, Makoto, Meguri, Yusuke, Matsushita, Takashi, Tanimine, Naoki, Kimura, Maiko, Asada, Noboru, Ennishi, Daisuke, Maeda, Yoshinobu, Matsuoka, Ken-Ichi, Sumii, Yuichi, Kondo, Takumi, Ikegawa, Shuntaro, Fukumi, Takuya, Iwamoto, Miki, Nishimura, Midori Filiz, Sugiura, Hiroyuki, Sando, Yasuhisa, Nakamura, Makoto, Meguri, Yusuke, Matsushita, Takashi, Tanimine, Naoki, Kimura, Maiko, Asada, Noboru, Ennishi, Daisuke, Maeda, Yoshinobu, and Matsuoka, Ken-Ichi
Abstract: Posttransplant cyclophosphamide (PTCy) is associated with a low incidence of chronic graft -versus-host disease (cGVHD) following hematopoietic stem cell (HSC) transplantation. Previous studies have shown the important roles of B cell immunity in cGVHD development. Here, we investigated the long-term reconstitution of B lymphopoiesis after PTCy using murine models. We first demonstrated that the immune homeostatic abnormality leading to cGVHD is characterized by an initial increase in effector T cells in the bone marrow and subsequent B and Treg cytopenia. PTCy, but not cyclosporine A or rapamycin, inhibits the initial alloreactive T cell response, which restores intra-bone marrow B lymphogenesis with a concomitant vigorous increase in Tregs. This leads to profound changes in posttransplant B cell homeostasis, including decreased B cell activating factors, increased transitional and regulatory B cells, and decreased germinal center B cells. To identify the cells responsible for PTCy-induced B cell tolerance, we selectively depleted Treg populations that were graft or HSC derived using DEREG mice. Deletion of either Treg population without PTCy resulted in critical B cytopenia. PTCy rescued B lymphopoiesis from graft-derived Treg deletion. In contrast, the negative effect of HSC-derived Treg deletion could not be overcome by PTCy, indicating that HSC-derived Tregs are essential for maintaining favorable B lymphopoiesis following PTCy. These findings define the mechanisms by which PTCy restores homeostasis of the B cell lineage and reestablishes immune tolerance.
Published: 2023

45. Automated detection method of thoracic aorta calcification from non-contrast CT images using mediastinal anatomical label map

Author: Suzuki, Hidenobu, Kawata, Yoshiki, Sugiura, Toshihiko, Tanabe, Nobuhiro, Matsumoto, Yuji, Tsuchida, Takaaki, Kusumoto, Masahiko, Marumo, Kazuyoshi, Kaneko, Masahiro, Niki, Noboru, Suzuki, Hidenobu, Kawata, Yoshiki, Sugiura, Toshihiko, Tanabe, Nobuhiro, Matsumoto, Yuji, Tsuchida, Takaaki, Kusumoto, Masahiko, Marumo, Kazuyoshi, Kaneko, Masahiro, and Niki, Noboru
Abstract: Progression of thoracic aortic calcification (TAC) has been shown to be associated with hard cardiovascular events including stroke and all-cause mortality as well as coronary events. In this study, we propose an automated detection method of TACs of non-contrast CT images using mediastinal anatomical label map. This method consists of two steps: (1) the construction of a mediastinal anatomical label map, and (2) the detection of TACs using the intensity and the mediastinal anatomical label map. The proposed method was applied to two non-contrast CT image datasets: 24 cases of chronic thromboembolic pulmonary hypertension (CTEPH) and 100 non-CTEPH cases of low-dose CT screening. The method was compared with two-dimensional U-Nets and the Swin UNETR. The results showed that the method achieved significantly higher F1 score of 0.937 than other methods for the non-CTEPH case dataset (p-value < 0.05, pairwise Wilcoxon signed rank test with Bonferroni correction).
Published: 2023

46. Effects of Pilates Exercise on Age-Related Kyphosis

Author: Fujitani, Junzo, Yamashita, Kazuta, Tezuka, Fumitake, Sugiura, Kosuke, Sairyo, Koichi, Fujitani, Junzo, Yamashita, Kazuta, Tezuka, Fumitake, Sugiura, Kosuke, and Sairyo, Koichi
Abstract: This report describes a case in which Pilates exercise was used successfully to treat age-related kyphosis. The patient was a 72-year-old woman who presented to us complaining of abnormal posture and being unable to stand for more than 3 min without using a walker or cane. A standing lateral plain radiograph showed kyphotic deformity of the thoracic spine and a C7 sagittal vertical axis to be 185 mm. We recommended thoracic to iliac spinal correction and fusion surgery. However, the patient opted for conservative treatment, so was referred for rehabilitation. Her kyphosis was flexible, with a decrease in the thoracic kyphosis angle from about 50 degrees in the standing position to about 10 degrees in the lying position. The basic concept when using Pilates exercise for rehabilitation in patients with kyphosis is stretching of the ventral aspect of the body and strengthening exercises for the dorsal aspect of the spine. After 4 weeks of rehabilitation, the patient’s posture became more upright and she could stand without support for more than 10 min. Even though we have had only one such case, our experience is that Pilates exercise can be a useful rehabilitation tool for patients with age-related kyphosis.
Published: 2023

47. A clinicopathological analysis of forkhead box A1 (FOXA1) and estrogen receptor alpha expression in extramammary Paget’s disease

Author: Sumitomo, Chiho, Iwata, Yohei, Arima, Masaru, Sugiura, Kazumitsu, Sumitomo, Chiho, Iwata, Yohei, Arima, Masaru, and Sugiura, Kazumitsu
Published: 2023

48. Natural Frequency of Lightweight Composite Slabs Based On Experimental Study and Numerical Modelling

Author: Jaini, Z. M., Sugiura, K., Abdul Kudus, S., Rum, R. H. M., Hakim, S. J. S., Abd Ghafar, N. H., Jaini, Z. M., Sugiura, K., Abdul Kudus, S., Rum, R. H. M., Hakim, S. J. S., and Abd Ghafar, N. H.
Abstract: Recently, lightweight composite slabs have become increasingly popular. Lightweight composite slabs are an innovation that provides a better and more convenient construction method for floor systems. Under dynamic loads, lightweight composite slabs may experience meagre inertia forces due to poor stiffness or low mass. Compared to conventional composite slabs, lightweight composite slabs are 40% lighter and more susceptible to structural resonance. Therefore, the vibration behaviour must be controlled to avoid discomfort issues. This study investigates the natural frequency of lightweight composite slabs through experimental study and numerical modelling. In the experimental study, lightweight composite slabs were prepared for the hammer-impact test. The slab thickness ranges from 100 mm to 200 mm. In numerical modelling, lightweight composite slabs were modelled in SAP2000 using a unique technique called the simplified equivalent plate model. The effective material properties were derived from the rule of mixtures and depend exclusively on elastic properties with strength characteristics. The results of the experimental study and numerical modelling agree positively. The natural frequency decreased with slab thickness, signifying that the natural frequency is dominated by mass rather than stiffness. Overall, the natural frequency of lightweight composite slabs is around 27.23Hz to 31.45Hz.
Published: 2023

49. A New Species of Bisexual Milnesium (Eutardigrada: Apochela) Having Aberrant Claws from Innhovde, Dronning Maud Land, East Antarctica

Author: Suzuki, Atsushi C., Sugiura, Kenta, Tsujimoto, Megumu, Nakai, Ryosuke, McInnes, Sandra J., Kagoshima, Hiroshi, Imura, Satoshi, Suzuki, Atsushi C., Sugiura, Kenta, Tsujimoto, Megumu, Nakai, Ryosuke, McInnes, Sandra J., Kagoshima, Hiroshi, and Imura, Satoshi
Abstract: There have been several records in the last 60 years for East Antarctica for Milnesium tardigradum Doyere, 1840 sensu lato, now considered a species complex. During the 56th Japanese Antarctic Research Expedition summer operation (2014-2015), a new tardigrade species in the genus Milnesium Doyere, 1840 was found in an ice-free Innhovde area along Lutzow-Holm Bay, Dronning Maud Land, East Antarctica. The new species has aberrant claws with four to seven points on each secondary claw branch, which distinguishes it from other Milnesium species. A male specimen was found in the population and evidence showed that an isolated adult female moulted twice without oviposition. This strongly suggested bisexual reproduction for this population. The new species, Milnesium rastrum sp. nov., is described with its phylogenetic position and a discussion on the reproductive strategies for the harsh environments.
Published: 2023

50. Mass production system for RNA-loaded lipid nanoparticles using piling up microfluidic devices

Author: Maeki, Masatoshi, Okada, Yuto, Uno, Shuya, Sugiura, Kaisei, Suzuki, Yuichi, Okuda, Kento, Sato, Yusuke, Ando, Masao, Yamazaki, Hiroyuki, Takeuchi, Masaki, Ishida, Akihiko, Tani, Hirofumi, Harashima, Hideyoshi, Tokeshi, Manabu, Maeki, Masatoshi, Okada, Yuto, Uno, Shuya, Sugiura, Kaisei, Suzuki, Yuichi, Okuda, Kento, Sato, Yusuke, Ando, Masao, Yamazaki, Hiroyuki, Takeuchi, Masaki, Ishida, Akihiko, Tani, Hirofumi, Harashima, Hideyoshi, and Tokeshi, Manabu
Abstract: Microfluidic devices are widely used in lipid nanoparticle (LNP)-based vaccines and nanomedicine research. These devices should be stiff enough to withstand the high flow rate for the mass production of LNPs, and malleable enough to use when fabricating complicated microchannel or micromixer structures, such as stag-gering herringbone micromixers. Due to the limitations of the available fabrication methods, optimal micro -fluidic devices have not yet been developed. In this study, we report the development of a glass-based microfluidic device based on the invasive Lipid Nanoparticle Production (iLiNP) device (R) reported previously. The LNP size controllability of glass-based iLiNP device was similar to that of the poly(dimethylsiloxane) (PDMS)-based iLiNP device, and the glass-iLiNP device was used for mRNA-loaded LNP production with ionizable lipids used for COVID-19 mRNA vaccines. We also demonstrate a piling-and numbering-up strategy based on glass-iLiNP device. The iLiNP unit composed of five-layered microchannels was fabricated by piling-up each glass-iLiNP device followed by parallelization (numbering-up) for the mass production of LNPs. This iLiNP system can produce LNPs with sizes ranging between 20 and 60 nm at a flow rate of 20-50 mL/min, and its performance is comparable to that of the commercially available microfluidic system like NanoAssemblr (R).
Published: 2023

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