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2. The effects of mosaicism on biological and clinical markers of Alzheimer's disease in adults with Down syndrome

Author

Xicota, Laura, Dang, Lam-Ha T, Lee, Alice, Krinsky-McHale, Sharon, Pang, Deborah, Melilli, Lisa, O'Bryant, Sid, Henson, Rachel L, Laymon, Charles, Lai, Florence, Rosas, H Diana, Ances, Beau, Lott, Ira, Hom, Christy, Christian, Bradley, Hartley, Sigan, Zaman, Shahid, Head, Elizabeth, Mapstone, Mark, Jin, Zhezhen, Silverman, Wayne, Schupf, Nicole, Handen, Benjamin, Lee, Joseph H, Syndrome, Alzheimer's Biomarker Consortium–Down, Aizenstein, Howard J, Ances, Beau M, Andrews, Howard F, Bell, Karen, Birn, Rasmus, Brickman, Adam M, Bulova, Peter, Cheema, Amrita, Chen, Kewei, Christian, Bradley T, Clare, Isabel, Clark, Lorraine, Cohen, Ann D, Constantino, John N, Doran, Eric W, Fagan, Anne, Feingold, Eleanor, Foroud, Tatiana M, Handen, Benjamin L, Harp, Jordan, Hartley, Sigan L, Henson, Rachel, Honig, Lawrence, Ikonomovic, Milos D, Johnson, Sterling C, Jordan, Courtney, Kamboh, M Ilyas, Keator, David, Klunk, William E, Kofler, Julia K, Kreisl, William Charles, Krinsky-McHale, Sharon J, Lao, Patrick, Lott, Ira T, Lupson, Victoria, Mathis, Chester A, Minhas, Davneet Singh, Nadkarni, Neelesh, O’Bryant, Sid, Parisi, Melisa, Pettersen, Melissa, Price, Julie C, Pulsifer, Margaret, Rafii, Michael S, Reiman, Eric, Rizvi, Batool, Ryan, Laurie, Schmitt, Frederick, Silverman, Wayne P, Tudorascu, Dana L, Tumuluru, Rameshwari, Tycko, Benjamin, Varadarajan, Badri, White, Desiree A, Yassa, Michael A, and Zhang, Fan

Subjects
Epidemiology, Health Sciences, Alzheimer's Disease, Brain Disorders, Neurosciences, Neurodegenerative, Intellectual and Developmental Disabilities (IDD), Acquired Cognitive Impairment, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Prevention, Clinical Research, Aging, Dementia, Down Syndrome, 2.1 Biological and endogenous factors, 4.2 Evaluation of markers and technologies, Neurological, Congenital, Humans, Alzheimer Disease, Mosaicism, Biomarkers, Female, Male, Middle Aged, Amyloid beta-Peptides, Adult, tau Proteins, Aged, Down syndrome, Alzheimer's disease, Plasma biomarkers, CSF, PET, Alzheimer's Biomarker Consortium – Down Syndrome, mosaicism, Alzheimer&#x27, s disease, plasma biomarkers, Clinical Sciences, Public Health and Health Services, Clinical sciences
Abstract

BackgroundIndividuals with Down syndrome (DS) are at high risk of early-onset Alzheimer's disease (AD); yet, some 20 percent do not develop any signs of dementia until after 65 years or in their lifetime. Mosaicism could contribute to this phenotypic variation, where some disomic cells could lead to lower levels of gene products from chromosome 21.MethodsWe examined longitudinal neuropsychological and biomarker data from two large studies of DS: the Alzheimer Biomarker Consortium-Down syndrome study (ABC-DS) (n = 357); and a legacy study (n = 468). We assessed mosaicism using karyotyping or GWAS data. Participants had data on plasma AD biomarkers (Aβ40, Aβ42, tau, and NfL) and longitudinal cognitive measures. A subset had cerebrospinal fluid biomarkers (Aβ40, Aβ42, tau, ptau181, and NfL) and amyloid and tau PET data.FindingsFor both cohorts, the prevalence of mosaicism was

Published
2024

3. A Scalable Tabletop Satellite Automation Testbed:Design And Experiments

Author

Parikh, Deep, Khowaja, Ali Hasnain, Long, Nathan, Down, Ian, McElreath, James, Bire, Aniket, and Majji, Manoranjan

Subjects
Computer Science - Robotics, Electrical Engineering and Systems Science - Systems and Control
Abstract

This paper presents a detailed system design and component selection for the Transforming Proximity Operations and Docking Service (TPODS) module, designed to gain custody of uncontrolled resident space objects (RSOs) via rendezvous and proximity operation (RPO). In addition to serving as a free-flying robotic manipulator to work with cooperative and uncooperative RSOs, the TPODS modules are engineered to have the ability to cooperate with one another to build scaffolding for more complex satellite servicing activities. The structural design of the prototype module is inspired by Tensegrity principles, minimizing the structural mass of the modules frame. The prototype TPODS module is fabricated using lightweight polycarbonate with an aluminum or carbon fiber frame. The inner shell that houses various electronic and pneumatic components is 3-D printed using ABS material. Four OpenMV H7 R1 cameras are used for the pose estimation of resident space objects (RSOs), including other TPODS modules. Compressed air supplied by an external source is used for the initial testing and can be replaced by module-mounted nitrogen pressure vessels for full on-board propulsion later. A Teensy 4.1 single-board computer is used as a central command unit that receives data from the four OpenMV cameras, and commands its thrusters based on the control logic., Comment: Presented at 45th Rocky Mountain AAS Guidance, Navigation and Control (GN&C) Conference, Breckenridge, CO

Published
2024

4. Algebraic Representations of Entropy and Fixed-Parity Information Quantities

Author

Down, Keenan J. A. and Mediano, Pedro A. M.

Subjects
Computer Science - Information Theory, 94A17, E.4
Abstract

Many information-theoretic quantities have corresponding representations in terms of sets. The prevailing signed measure space for characterising entropy, the $I$-measure of Yeung, is occasionally unable to discern between qualitatively distinct systems. In previous work, we presented a refinement of this signed measure space and demonstrated its capability to represent many quantities, which we called logarithmically decomposable quantities. In the present work we demonstrate that this framework has natural algebraic behaviour which can be expressed in terms of ideals (characterised here as upper-sets), and we show that this behaviour allows us to make various counting arguments and characterise many fixed-parity information quantity expressions. As an application, we give an algebraic proof that the only completely synergistic system of three finite variables $X$, $Y$ and $Z = f(X,Y)$ is the XOR gate., Comment: 12 pages, 2 figures

Published
2024

5. A Logarithmic Decomposition and a Signed Measure Space for Entropy

Author

Down, Keenan J. A. and Mediano, Pedro A. M.

Subjects
Computer Science - Information Theory, 94A17, E.4
Abstract

The Shannon entropy of a random variable X has much behaviour analogous to a signed measure. Previous work has explored this connection by defining a signed measure on abstract sets, which are taken to represent the information that different random variables contain. This construction is sufficient to derive many measure-theoretical counterparts to information quantities such as the mutual information $I(X; Y) = \mu(\tilde{X} \cap \tilde{Y})$, the joint entropy $H(X,Y) = \mu(\tilde{X} \cup \tilde{Y})$, and the conditional entropy $H(X|Y) = \mu(\tilde{X} \setminus \tilde{Y})$. Here we provide concrete characterisations of these abstract sets and a corresponding signed measure, and in doing so we demonstrate that there exists a much finer decomposition with intuitive properties which we call the logarithmic decomposition (LD). We show that this signed measure space has the useful property that its logarithmic atoms are easily characterised with negative or positive entropy, while also being consistent with Yeung's I-measure. We present the usability of our approach by re-examining the G\'acs-K\"orner common information and the Wyner common information from this new geometric perspective and characterising it in terms of our logarithmic atoms - a property we call logarithmic decomposability. We present possible extensions of this construction to continuous probability distributions before discussing implications for quality-led information theory. Lastly, we apply our new decomposition to examine the Dyadic and Triadic systems of James and Crutchfield and show that, in contrast to the I-measure alone, our decomposition is able to qualitatively distinguish between them., Comment: 25 pages, 10 figures, extended version of a conference paper

Published
2024

14. Cognitive and functional performance and plasma biomarkers of early Alzheimer's disease in Down syndrome

Author

Schworer, Emily K, Handen, Benjamin L, Petersen, Melissa, O'Bryant, Sid, Peven, Jamie C, Tudorascu, Dana L, Lee, Laisze, Krinsky‐McHale, Sharon J, Hom, Christy L, Clare, Isabel CH, Christian, Bradley T, Schupf, Nicole, Lee, Joseph H, Head, Elizabeth, Mapstone, Mark, Lott, Ira, Ances, Beau M, Zaman, Shahid, Brickman, Adam M, Lai, Florence, Rosas, H Diana, Hartley, Sigan L, and Syndrome, the Alzheimer Biomarker Consortium‐Down

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Neurosciences, Psychology, Behavioral and Social Science, Dementia, Clinical Research, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Mental Health, Aging, Brain Disorders, Neurodegenerative, Prevention, Acquired Cognitive Impairment, Intellectual and Developmental Disabilities (IDD), Alzheimer's Disease, Down Syndrome, 2.1 Biological and endogenous factors, 4.1 Discovery and preclinical testing of markers and technologies, Neurological, Congenital, adaptive behavior, adults, cognitive performance, functional abilities, neurofilament light chain, plasma amyloid beta, plasma total tau, trisomy 21, Alzheimer Biomarker Consortium‐Down Syndrome, Genetics, Biological psychology
Abstract

IntroductionPeople with Down syndrome (DS) have a 75% to 90% lifetime risk of Alzheimer's disease (AD). AD pathology begins a decade or more prior to onset of clinical AD dementia in people with DS. It is not clear if plasma biomarkers of AD pathology are correlated with early cognitive and functional impairments in DS, and if these biomarkers could be used to track the early stages of AD in DS or to inform inclusion criteria for clinical AD treatment trials.MethodsThis large cross-sectional cohort study investigated the associations between plasma biomarkers of amyloid beta (Aβ)42/40, total tau, and neurofilament light chain (NfL) and cognitive (episodic memory, visual-motor integration, and visuospatial abilities) and functional (adaptive behavior) impairments in 260 adults with DS without dementia (aged 25-81 years).ResultsIn general linear models lower plasma Aβ42/40 was related to lower visuospatial ability, higher total tau was related to lower episodic memory, and higher NfL was related to lower visuospatial ability and lower episodic memory.DiscussionPlasma biomarkers may have utility in tracking AD pathology associated with early stages of cognitive decline in adults with DS, although associations were modest.HighlightsPlasma Alzheimer's disease (AD) biomarkers correlate with cognition prior to dementia in Down syndrome.Lower plasma amyloid beta 42/40 was related to lower visuospatial abilities.Higher plasma total tau and neurofilament light chain were associated with lower cognitive performance.Plasma biomarkers show potential for tracking early stages of AD symptomology.

Published
2024

17. Overview of Caching Mechanisms to Improve Hadoop Performance

Author

Ghazali, Rana and Down, Douglas G.

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

Nowadays distributed computing environments, large amounts of data are generated from different resources with a high velocity, rendering the data difficult to capture, manage, and process within existing relational databases. Hadoop is a tool to store and process large datasets in a parallel manner across a cluster of machines in a distributed environment. Hadoop brings many benefits like flexibility, scalability, and high fault tolerance; however, it faces some challenges in terms of data access time, I/O operation, and duplicate computations resulting in extra overhead, resource wastage, and poor performance. Many researchers have utilized caching mechanisms to tackle these challenges. For example, they have presented approaches to improve data access time, enhance data locality rate, remove repetitive calculations, reduce the number of I/O operations, decrease the job execution time, and increase resource efficiency. In the current study, we provide a comprehensive overview of caching strategies to improve Hadoop performance. Additionally, a novel classification is introduced based on cache utilization. Using this classification, we analyze the impact on Hadoop performance and discuss the advantages and disadvantages of each group. Finally, a novel hybrid approach called Hybrid Intelligent Cache (HIC) that combines the benefits of two methods from different groups, H-SVM-LRU and CLQLMRS, is presented. Experimental results show that our hybrid method achieves an average improvement of 31.2% in job execution time.

Published
2023

22. Hadoop-Oriented SVM-LRU (H-SVM-LRU): An Intelligent Cache Replacement Algorithm to Improve MapReduce Performance

Author

Ghazali, Rana, Adabi, Sahar, Rezaee, Ali, Down, Douglas G., and Movaghar, Ali

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

Modern applications can generate a large amount of data from different sources with high velocity, a combination that is difficult to store and process via traditional tools. Hadoop is one framework that is used for the parallel processing of a large amount of data in a distributed environment, however, various challenges can lead to poor performance. Two particular issues that can limit performance are the high access time for I/O operations and the recomputation of intermediate data. The combination of these two issues can result in resource wastage. In recent years, there have been attempts to overcome these problems by using caching mechanisms. Due to cache space limitations, it is crucial to use this space efficiently and avoid cache pollution (the cache contains data that is not used in the future). We propose Hadoop-oriented SVM-LRU (HSVM- LRU) to improve Hadoop performance. For this purpose, we use an intelligent cache replacement algorithm, SVM-LRU, that combines the well-known LRU mechanism with a machine learning algorithm, SVM, to classify cached data into two groups based on their future usage. Experimental results show a significant decrease in execution time as a result of an increased cache hit ratio, leading to a positive impact on Hadoop performance.

Published
2023

23. Thermal-aware Workload Distribution for Data Centers with Demand Variations

Author

Rostami, Somayye, Down, Douglas G., and Karakostas, George

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

Thermal-aware workload distribution is a common approach in the literature for power consumption optimization in data centers. However, data centers also have other operational costs such as the cost of equipment maintenance and replacement. It has been shown that server reliability depends on frequency of their temperature variations, arising from workload transitions due to dynamic demands. In this work, we formulate a nonlinear optimization problem that considers the cost of workload transitions in addition to IT and cooling power consumption. To approximate the solution, we first linearize the problem; the result is a mixed integer programming problem. A modified heuristic is then proposed to approximate the solution of the linear problem. Finally, a Model Predictive Control (MPC) approach is integrated with the proposed heuristics for automatic workload reconfiguration when future demand is not known exactly, but predictions are available. Numerical results show that the proposed schemes are attractive in different settings.

Published
2023

24. The key to bringing DNA collections to the next level

Author

Emily Veltjen, Pieter Asselman, Wim Baert, Steve Baeyen, Lise Beirinckx, Liselot Breyne, Dimitri Brosens, Tim Claerhout, Sari Cogneau, Karen Cox, Laura Cuypers, Lynn Delgat, Philippe Desmeth, Jordi de Raad, Lore Esselens, Maria-Rose Eves Down, Philippe Helsen, Frederik Leliaert, Kenny Meganck, Zjef Pereboom, Nathalie Smitz, Gontran Sonet, Maarten Trekels, An Vanden Broeck, Charlotte Van Driessche, and Aaike De Wever

Subjects
DNA specimens, Natural Science collections, DiSSCo, Science
Abstract

DNA collections are a valuable type of Natural Science collection, enabling the validation of past research, serving as a source for new genomic studies and supporting ex situ conservation. The DiSSCo Flanders DNA collection working group, aiming to advance and "unlock" their DNA collections, identified the need for: 1) actively sharing best practices regarding the management of DNA collections; and 2) providing guidance on how to bring theory into practice. By combining best practice examples from within the working group with available literature and brainstorming ideas, the working group co-created two outputs, referred to as: the "Challenges" and the "Key". The Challenges are a list of obstacles to DNA collection management, which shape the structure of the linked Key and can also be used to spark discussion amongst stakeholders. The Key is a tool that guides users through the maturation process of their DNA collection in a standardised way. It stimulates holistic growth, breaks down the needed work into manageable steps and helps to decide priorities during the process. Furthermore, the Key facilitates communication with both internal stakeholders and external DNA collection managers. The Key distinguishes itself from other self-assessment tools in several ways: it includes (re)investigation of the collection’s purpose and context; it is specialised for DNA collections; it delivers concrete goals linked to relevant information and shared experience; and it is inclusive, targeting all Natural Science DNA collections, regardless of their context or size.

Published
2024
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25. Targeted hematopoietic stem cell depletion through SCF-blockade

Author

Yan Yi Chan, Pui Yan Ho, Carla Dib, Leah Swartzrock, Maire Rayburn, Hana Willner, Ethan Ko, Katie Ho, Julian D. Down, Adam C. Wilkinson, Hiro Nakauchi, Morgane Denis, Taylor Cool, and Agnieszka Czechowicz

Subjects
Medicine (General), R5-920, Biochemistry, QD415-436
Abstract

Abstract Background Hematopoietic stem cell transplantation (HSCT) is a curative treatment for many diverse blood and immune diseases. However, HSCT regimens currently commonly utilize genotoxic chemotherapy and/or total body irradiation (TBI) conditioning which causes significant morbidity and mortality through inducing broad tissue damage triggering infections, graft vs. host disease, infertility, and secondary cancers. We previously demonstrated that targeted monoclonal antibody (mAb)-based HSC depletion with anti(α)-CD117 mAbs could be an effective alternative conditioning approach for HSCT without toxicity in severe combined immunodeficiency (SCID) mouse models, which has prompted parallel clinical αCD117 mAbs to be developed and tested as conditioning agents in clinical trials starting with treatment of patients with SCID. Subsequent efforts have built upon this work to develop various combination approaches, though none are optimal and how any of these mAbs fully function is unknown. Methods To improve efficacy of mAb-based conditioning as a stand-alone conditioning approach for all HSCT settings, it is critical to understand the mechanistic action of αCD117 mAbs on HSCs. Here, we compare the antagonistic properties of αCD117 mAb clones including ACK2, 2B8, and 3C11 as well as ACK2 fragments in vitro and in vivo in both SCID and wildtype (WT) mouse models. Further, to augment efficacy, combination regimens were also explored. Results We confirm that only ACK2 inhibits SCF binding fully and prevents HSC proliferation in vitro. Further, we verify that this corresponds to HSC depletion in vivo and donor engraftment post HSCT in SCID mice. We also show that SCF-blocking αCD117 mAb fragment derivatives retain similar HSC depletion capacity with enhanced engraftment post HSCT in SCID settings, but only full αCD117 mAb ACK2 in combination with αCD47 mAb enables enhanced donor HSC engraftment in WT settings, highlighting that the Fc region is not required for single-agent efficacy in SCID settings but is required in immunocompetent settings. This combination was the only non-genotoxic conditioning approach that enabled robust donor engraftment post HSCT in WT mice. Conclusion These findings shed new insights into the mechanism of αCD117 mAb-mediated HSC depletion. Further, they highlight multiple approaches for efficacy in SCID settings and optimal combinations for WT settings. This work is likely to aid in the development of clinical non-genotoxic HSCT conditioning approaches that could benefit millions of people world-wide.

Published
2024
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26. What Is Missing in Policy Discourses about School Exclusions?

Author

Barry Down, Anna Sullivan, Neil Tippett, Bruce Johnson, Jamie Manolev, and Janean Robinson

Abstract

This article reports on a critical policy analysis of discourses related to school exclusions. The management of problematic student behaviour is one of the intractable problems facing education systems today. Despite being ineffective, school suspensions and exclusions are commonly used in many countries as a discipline strategy to manage student behaviour. We adopted a critical policy analysis approach in a case in Australia to examine what is missing from policy discourses about school discipline. We identified nine silences in the policy discourses. The aim is to better understand the ways in which common-sense policy discourses construct the problem of disaffected students and in the process make invisible the deep-rooted causes of student exclusions and their effects. These key silences open up new foci for policy discourses, which would enhance a deeper understanding of what is involved in addressing complex social problems like school suspensions and exclusions.

Published
2024
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27. Preliminary Findings from the Longitudinal Study of Big Picture Learning Australia University Pathway Students

Author

John Fischetti, Ann Hill, Debra Lynch, Joanne Pettit, Joanne Rutkowski, Viv White, Deborah Chadwick, and Barry Down

Abstract

Year 12 students in Big Picture Learning schools across Australia now use portfolios and interviews to apply for and gain entry to their first choice of university degree. They receive admission on the strength of portfolio evidence mapped to a new non-ATAR qualification, known as the International Big Picture Learning Credential (IBPLC). Since 2020, 270 graduates have received offers to university using the Credential, growing from 3 in 2017. Like other Big Picture graduates who went before them, they are continuing a trajectory of passion-based learning that began in Year 9 or 10 at one of 45 Australian Big Picture Learning schools. All IBPLC graduates begin tertiary study equipped with experiences in the real world, support systems with a range of community mentors and teachers, specialist knowledge in their chosen field, and a set of independent learning skills intended to give them the opportunity to thrive in the university setting. In this article we share the preliminary findings of a study of graduates of Big Picture Learning Australia secondary schools who have matriculated using the IBPLC. Findings from our surveys and interviews show promise that the learning design of Big Picture, which starts with an internship in a passion area, is the key factor in enabling the success of graduates both from high school and into their university studies.

Published
2024
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30. Plasma NT1‐tau and Aβ42 correlate with age and cognitive function in two large Down syndrome cohorts

Author

Stern, Andrew M, Van Pelt, Kathryn L, Liu, Lei, Anderson, Amirah K, Ostaszewski, Beth, Mapstone, Mark, O'Bryant, Sid, Petersen, Melissa E, Christian, Bradley T, Handen, Benjamin L, Selkoe, Dennis J, Schmitt, Frederick, Head, Elizabeth, and investigators, the Alzheimer's Biomarker Consortium–Down Syndrome

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Clinical Sciences, Neurosciences, Psychology, Brain Disorders, Aging, Neurodegenerative, Down Syndrome, Acquired Cognitive Impairment, Dementia, Behavioral and Social Science, Intellectual and Developmental Disabilities (IDD), Clinical Research, Alzheimer's Disease, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), 4.1 Discovery and preclinical testing of markers and technologies, 2.1 Biological and endogenous factors, Neurological, Humans, tau Proteins, Cross-Sectional Studies, Alzheimer Disease, Cognitive Dysfunction, Cognition, Biomarkers, Amyloid beta-Peptides, Peptide Fragments, Alzheimer disease, A beta, biomarker, Down syndrome, plasma, tau, Alzheimer's Biomarker Consortium-Down Syndrome (ABC-DS) investigators, Aβ, Geriatrics, Clinical sciences, Biological psychology
Abstract

IntroductionPeople with Down syndrome (DS) often develop Alzheimer's disease (AD). Here, we asked whether ultrasensitive plasma immunoassays for a tau N-terminal fragment (NT1-tau) and Aβ isoforms predict cognitive impairment.MethodsPlasma NT1-tau, Aβ37 , Aβ40 , and Aβ42 levels were measured in a longitudinal discovery cohort (N = 85 participants, 220 samples) and a cross-sectional validation cohort (N = 239). We developed linear models and predicted values in the validation cohort.ResultsDiscovery cohort linear mixed models for NT1-tau, Aβ42 , and Aβ37:42 were significant for age; there was no main effect of time. In cross-sectional models, NT1-tau increased and Aβ42 decreased with age. NT1-tau predicted cognitive and functional scores. The discovery cohort linear model for NT1-tau predicted levels in the validation cohort.DiscussionNT1-tau correlates with age and worse cognition in DS. Further validation of NT1-tau and other plasma biomarkers of AD neuropathology in DS cohorts is important for clinical utility.

Published
2023

33. A Logarithmic Decomposition for Information

Author

Down, Keenan J. A. and Mediano, Pedro A. M.

Subjects
Computer Science - Information Theory, 94A17, E.4
Abstract

The Shannon entropy of a random variable $X$ has much behaviour analogous to a signed measure. Previous work has concretized this connection by defining a signed measure $\mu$ on an abstract information space $\tilde{X}$, which is taken to represent the information that $X$ contains. This construction is sufficient to derive many measure-theoretical counterparts to information quantities such as the mutual information $I(X; Y) = \mu(\tilde{X} \cap \tilde{Y})$, the joint entropy $H(X,Y) = \mu(\tilde{X} \cup \tilde{Y})$, and the conditional entropy $H(X|Y) = \mu(\tilde{X}\, \setminus \, \tilde{Y})$. We demonstrate that there exists a much finer decomposition with intuitive properties which we call the logarithmic decomposition (LD). We show that this signed measure space has the useful property that its logarithmic atoms are easily characterised with negative or positive entropy, while also being coherent with Yeung's $I$-measure. We present the usability of our approach by re-examining the G\'acs-K\"orner common information from this new geometric perspective and characterising it in terms of our logarithmic atoms. We then highlight that our geometric refinement can account for an entire class of information quantities, which we call logarithmically decomposable quantities., Comment: 9 pages, 4 figures. Submitted to the 2023 IEEE International Symposium on Information Theory

Published
2023

34. Linearized Data Center Workload and Cooling Management

Author

Rostami, Somayye, Down, Douglas G., and Karakostas, George

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

With the current high levels of energy consumption of data centers, reducing power consumption by even a small percentage is beneficial. We propose a framework for thermal-aware workload distribution in a data center to reduce cooling power consumption. The framework includes linearization of the general optimization problem and proposing a heuristic to approximate the solution for the resulting Integer Linear Programming (ILP) problems. We first define a general nonlinear power optimization problem including several cooling parameters, heat recirculation effects, and constraints on server temperatures. We propose to study a linearized version of the problem, which is easier to analyze. As an energy saving scenario and as a proof of concept for our approach, we also consider the possibility that the red-line temperature for idle servers is higher than that for busy servers. For the resulting ILP problem, we propose a heuristic for intelligent rounding of the fractional solution. Through numerical simulations, we compare our heuristics with two baseline algorithms. We also evaluate the performance of the solution of the linearized system on the original system. The results show that the proposed approach can reduce the cooling power consumption by more than 30 percent compared to the case of continuous utilizations and a single red-line temperature.

Published
2023

35. Susceptibility of European Agrilus beetle species to the biocontrol agents of Emerald Ash Borer in the laboratory

Author

Katy Reed, Freya Cole, Neil Audsley, Anastasia Uglow, Rachel Down, Kerry Barnard, and Daegan Inward

Subjects
Agrilus planipennis, Biological control, Parasitoid wasp, Invasive pest, Agriculture, Biology (General), QH301-705.5
Abstract

The emerald ash borer (EAB, Agrilus planipennis Fairmaire (Coleoptera: Buprestidae) is devastating ash trees in its invaded range of North America and spreading rapidly towards Western Europe from European Russia and Ukraine. To allow a rapid response when the beetle is detected, slow its spread and protect trees as part of a wider integrated pest management programme, pre-emptive biological control strategies that are suitable for Great Britain and the rest of Europe must urgently be developed. Three classical hymenopteran biological control agents have been mass-reared and released within North America to control EAB: the egg parasitoid Oobius agrili Zhang and Huang (Hymenoptera: Encyrtidae), and the larval parasitoids Tetrastichus planipennisi and Spathius galinae Belokobylskij & Strazanac (Hymenoptera: Braconidae). This study presents data on the risk these parasitoid wasps might pose to British Agrilus beetles. “No-choice” laboratory assays tested the susceptibility of A. biguttatus Fabricus eggs and larvae and A. sulcicollis Lacordaire and A. convexicollis Redtenbacher eggs to the parasitoids. Oobius agrili, T. planipennisi and S. galinae all attacked A. biguttatus, and offspring were produced. Oobius agrili also attacked the eggs of A. convexicollis, but not A. sulcicollis. This study is the first to show parasitism of a non-target species by T. planipennisi. Further work is needed to fully assess the non-target risk of these parasitoids for release using more ecologically relevant tests, such as ‘choice’, semi-field and chemical ecology assays on the attacked Agrilus species.

Published
2025
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36. Quantification of the glycocalyx in the study of pre-eclampsia

Author

Down, Colin J. and Satchell, Simon

Abstract

Introduction: Pre-eclampsia is a multisystem disorder of pregnancy characterised by widespread endothelial dysfunction. The glycocalyx is present at the luminal surface of endothelial cells and at the maternal-fetal interface of the placenta. It has important roles in maintaining normal endothelial function and may be shed in disease, including pre-eclampsia. The aim of this project was to develop reliable methodologies of imaging and quantifying the glycocalyx of the maternal endothelium and placenta, to test if glycocalyx shedding is a feature of pre-eclampsia. Methods: A prospective cohort study enrolled pregnant women with pre-eclampsia and normotensive controls. The maternal sublingual glycocalyx was measured using sidestream darkfield (SDF) imaging with GlycoCheckTM. Placental tissue was collected following delivery and processed for both light and electron microscopy. Methodologies were developed to image and quantify the glycocalyx at the maternal-fetal interface using confocal and transmission electron microscopy (TEM). Results: An increase in the sublingual perfused boundary region (PBR) was detected using GlycoCheckTM in women with early-onset pre-eclampsia. A trend was observed towards a reduction in the depth of the glycocalyx of the syncytiotrophoblast in women with early-onset pre-eclampsia, but this did not reach statistical significance. The trend could not be replicated in an independent cohort. Conclusion: Disruption of the maternal endothelial glycocalyx is a feature of early-onset pre-eclampsia, but not late onset disease. Further work is required to determine the role the placental glycocalyx in pre-eclampsia.

Published
2023

39. The Nature and Scope of Outdoor Education in Western Australia

Author

Picknoll, Duncan, Down, Michael, and Hands, Beth

Abstract

Outdoor Education has evolved as a learning area in Western Australia over many years. In this paper we document historical elements of an investigation into the nature and scope of Outdoor Education in Western Australia. Previous investigations conducted by other researchers on the nature and scope of Outdoor Education focused on Victoria, South Australia, and New Zealand guided the design and conduct of this study. We examine the introduction of the Outdoor Education course offered as an option in the Western Australian Certificate of Education. We provide signposts of significant events with consideration of the secondary and tertiary education settings. Outdoor Education, in its many formats, has a strong historical presence in Western Australia and continues to hold great potential within the curriculum.

Published
2023
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40. Assessing the feasibility of pre-emptive biological control against the emerald ash borer, Agrilus planipennis, an imminent biosecurity threat to Europe

Author

Kiran Jonathan Horrocks, M. Lukas Seehausen, Rachel E. Down, Neil Audsley, Ramona Maggini, and Jana Collatz

Subjects
Biocontrol preparedness, Biosecurity preparedness, Classical biological control, Priority pest, Risk assessment, Agriculture, Biology (General), QH301-705.5
Abstract

As the globalisation of trade increases, so does the spread of arthropod pests, leading to a growing focus on biosecurity preparedness. One approach to this is pre-emptive biological control, involving the importation of classical biological control (CBC) agents for risk assessments and acquiring approval for their release prior to the expected arrival of their target pests. This aims to mitigate the economic and/or environmental consequences of a delayed biological control response to pest invasions. Guidelines to assess the feasibility of pre-emptive biological control for high priority pests were recently developed. Emerald ash borer (EAB), Agrilus planipennis, is an invasive woodboring pest of ash (Fraxinus spp.) in North America, European Russia and Ukraine, and is spreading westward into Europe, threatening the future of European ash (Fraxinus excelsior). We applied the aforementioned guidelines to assess the feasibility of pre-emptive biological control in Europe using four EAB parasitoids, already released in North America for CBC. Three of the parasitoids; Oobius agrili, Spathius galinae, and Tetrastichus planipennisi, were found suitable for pre-emptive biological control. The fourth parasitoid, Spathius agrili, was found to have limited establishment in new environmental conditions, and was therefore deemed less suitable for pre-emptive biological control of EAB in Europe. This assessment can inform scientists and regulators in Europe on the most promising EAB parasitoids that should be considered for pre-emptive applications for importation and risk assessment to acquire pre-approval for immediate release should the target pest subsequently be discovered. In turn, this study contributes to the development of biosecurity preparedness against EAB’s imminent spread throughout Europe.

Published
2024
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42. Comparison of amyloid burden in individuals with Down syndrome versus autosomal dominant Alzheimer's disease: a cross-sectional study

Author

Boerwinkle, Anna H, Gordon, Brian A, Wisch, Julie, Flores, Shaney, Henson, Rachel L, Butt, Omar H, McKay, Nicole, Chen, Charles D, Benzinger, Tammie LS, Fagan, Anne M, Handen, Benjamin L, Christian, Bradley T, Head, Elizabeth, Mapstone, Mark, Rafii, Michael S, O'Bryant, Sid, Lai, Florence, Rosas, H Diana, Lee, Joseph H, Silverman, Wayne, Brickman, Adam M, Chhatwal, Jasmeer P, Cruchaga, Carlos, Perrin, Richard J, Xiong, Chengjie, Hassenstab, Jason, McDade, Eric, Bateman, Randall J, Ances, Beau M, Syndrome, Alzheimer's Biomarker Consortium-Down, Aizenstein, Howard J, Andrews, Howard F, Bell, Karen, Birn, Rasmus M, Bulova, Peter, Cheema, Amrita, Chen, Kewei, Clare, Isabel, Clark, Lorraine, Cohen, Ann D, Constantino, John N, Doran, Eric W, Feingold, Eleanor, Foroud, Tatiana M, Hartley, Sigan L, Hom, Christy, Honig, Lawrence, Ikonomovic, Milos D, Johnson, Sterling C, Jordan, Courtney, Kamboh, M Ilyas, Keator, David, Klunk, William E, Kofler, Julia K, Kreisl, William C, McHale, Sharon J Krinsky-, Lao, Patrick, Laymon, Charles, Lott, Ira T, Lupson, Victoria, Mathis, Chester A, Minhas, Davneet S, Nadkarni, Neelesh, Pang, Deborah, Petersen, Melissa, Price, Julie C, Pulsifer, Margaret, Reiman, Eric, Rizvi, Batool, Sabbagh, Marwan N, Schupf, Nicole, Tudorascu, Dana L, Tumuluru, Rameshwari, Tycko, Benjamin, Varadarajan, Badri, White, Desiree A, Yassa, Michael A, Zaman, Shahid, Zhang, Fan, Network, Dominantly Inherited Alzheimer, Adams, Sarah, Allegri, Ricardo, Araki, Aki, Barthelemy, Nicolas, Bechara, Jacob, Berman, Sarah, Bodge, Courtney, Brandon, Susan, Brooks, William, Brosch, Jared, Buck, Jill, Buckles, Virginia, Carter, Kathleen, Cash, Lisa, Mendez, Patricio C, Chua, Jasmin, Chui, Helena, Courtney, Laura, Day, Gregory, and DeLaCruz, Chrismary

Subjects
Biomedical and Clinical Sciences, Neurosciences, Clinical Sciences, Brain Disorders, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Dementia, Neurodegenerative, Intellectual and Developmental Disabilities (IDD), Genetics, Acquired Cognitive Impairment, Alzheimer's Disease, Down Syndrome, Prevention, Aging, Biomedical Imaging, Clinical Research, 2.1 Biological and endogenous factors, Neurological, Adult, Aged, Humans, Middle Aged, Alzheimer Disease, Amyloid beta-Peptides, Apolipoproteins E, Biomarkers, Cross-Sectional Studies, Positron-Emission Tomography, Cerebral Cortex, Alzheimer's Biomarker Consortium-Down Syndrome, Dominantly Inherited Alzheimer Network, Neurology & Neurosurgery, Clinical sciences
Abstract

BackgroundImportant insights into the early pathogenesis of Alzheimer's disease can be provided by studies of autosomal dominant Alzheimer's disease and Down syndrome. However, it is unclear whether the timing and spatial distribution of amyloid accumulation differs between people with autosomal dominant Alzheimer's disease and those with Down syndrome. We aimed to directly compare amyloid changes between these two groups of people.MethodsIn this cross-sectional study, we included participants (aged ≥25 years) with Down syndrome and sibling controls who had MRI and amyloid PET scans in the first data release (January, 2020) of the Alzheimer's Biomarker Consortium-Down Syndrome (ABC-DS) study. We also included carriers of autosomal dominant Alzheimer's disease genetic mutations and non-carrier familial controls who were within a similar age range to ABC-DS participants (25-73 years) and had MRI and amyloid PET scans at the time of a data freeze (December, 2020) of the Dominantly Inherited Alzheimer Network (DIAN) study. Controls from the two studies were combined into a single group. All DIAN study participants had genetic testing to determine PSEN1, PSEN2, or APP mutation status. APOE genotype was determined from blood samples. CSF samples were collected in a subset of ABC-DS and DIAN participants and the ratio of amyloid β42 (Aβ42) to Aβ40 (Aβ42/40) was measured to evaluate its Spearman's correlation with amyloid PET. Global PET amyloid burden was compared with regards to cognitive status, APOE ɛ4 status, sex, age, and estimated years to symptom onset. We further analysed amyloid PET deposition by autosomal dominant mutation type. We also assessed regional patterns of amyloid accumulation by estimated number of years to symptom onset. Within a subset of participants the relationship between amyloid PET and CSF Aβ42/40 was evaluated.Findings192 individuals with Down syndrome and 33 sibling controls from the ABC-DS study and 265 carriers of autosomal dominant Alzheimer's disease mutations and 169 non-carrier familial controls from the DIAN study were included in our analyses. PET amyloid centiloid and CSF Aβ42/40 were negatively correlated in carriers of autosomal dominant Alzheimer's disease mutations (n=216; r=-0·565; p

Published
2023

43. Urology never events in the United Kingdom: A retrospective 10‐year review

Author

Jerocin Vishani Loyala, Andrew Ang, Billy Down, and Sarah A. Howles

Subjects
clinical governance, human factors, never events, patient safety, Diseases of the genitourinary system. Urology, RC870-923
Abstract

Abstract Objectives The aim was to assess the prevalence of never events (NEs) specific to urology in the United Kingdom and identify commonly occurring themes. Methods Data from the National Health Service (NHS) NEs website were obtained and all NEs from 2012 to 2022 were reviewed. Urology‐specific NEs were identified and further analysed in their respective categories. Data regarding the total number of surgical procedures performed in the NHS specific to each specialty were obtained via the NHS Hospital Episode Statistics website. Results There were 3972 NEs recorded over the 10‐year period with 95 (2.4%) of these as a result of urology surgery. The most common surgical intervention associated with a urological NE was ureteric stenting, which comprised 45/95 (47.4%) of all analysed NEs. These consisted of wrong site ureteric stent insertion (n = 29), wrong site ureteric stent removal (n = 9), wrong stent type (n = 5) and retained guidewires (n = 2). There were 7.14 million urology surgeries performed in the 10‐year period, and prevalence was 0.0013%. Conclusion NEs are fully preventable serious incidents in the NHS. This is the first study to investigate the prevalence of NEs in urology in the United Kingdom. This study demonstrates that in the last 10 years the prevalence of urology NEs is low at 0.0013%, with ureteric stent procedures accounting for more than half of the NEs. Urologists should be mindful of the potential for wrong site surgery in urologic stenting procedures.

Published
2024
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46. Algebraic Representations of Entropy and Fixed-Sign Information Quantities

Author

Keenan J. A. Down and Pedro A. M. Mediano

Subjects
information decomposition, co-information, entropy inequalities, Science, Astrophysics, QB460-466, Physics, QC1-999
Abstract

Many information-theoretic quantities have corresponding representations in terms of sets. Many of these information quantities do not have a fixed sign—for example, the co-information can be both positive and negative. In previous work, we presented a signed measure space for entropy where the smallest sets (called atoms) all have fixed signs. In the present work, we demonstrate that these atoms have natural algebraic behaviour which can be expressed in terms of ideals (characterised here as upper sets), and we show that this behaviour allows us to make bounding arguments and describe many fixed-sign information quantity expressions. As an application, we give an algebraic proof that the only completely synergistic system of three finite variables X, Y and Z=f(X,Y) is the XOR gate.

Published
2025
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48. Promoting Junior School Students' Anti-Bullying Beliefs with the CATZ Cross-Age Teaching Zone Intervention

Author

Michael J. Boulton, Peter J. R. Macaulay, Siobhan Atherton, Louise Boulton, Tracey Colebourne, Melanie Davies, James Down, Ian Garner, Bethan Harriss, Laura Kenton, Bethan Lomas, Hedda Marx, Samantha Scattergood, and Claire Turner

Abstract

In tackling the widespread problem of bullying victimisation, researchers have acknowledged the value of focusing on changing bullying-related beliefs and using peer-based interventions. In three studies (N = 419, 237 intervention and 182 controls), we tested the effectiveness of the CATZ cross-age teaching programme by inviting small groups of 11-year-olds to incorporate information supporting positive beliefs (concerning non-physical forms of bullying, the value of disclosing being bullied to adults, and helping victims) into a lesson they devised for themselves and to deliver that to small groups of 9-year-olds. Specifically, we examined if the intervention would promote that: (i) non-physical forms of bullying are unacceptable (study 1); (ii) disclosing bullying to adults and getting the right kind of help have value and importance (study 2); and (iii) victims can be assisted in safe ways (study 3). Self-reports of nine specific aspects of these beliefs were collected from CATZ tutors and age-matched controls prior to and following the intervention, and at five-week follow-up in one study, using both open and closed questions. Results indicated significant positive effects of CATZ on all nine outcome variables, with mostly medium and high effect sizes. These findings support the use of CATZ to foster positive anti-bullying beliefs, and issues related to its wider uptake are discussed.

Published
2023
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49. Co-designing a personalised care plan for patients with rectal cancer: reflections and practical learnings

Author

Grace Gard, Jo Oakley, Kelsey Serena, Karla Gough, Michael Harold, Katya Gray, Helen Anderson, Judi Byrne, Jo Cockwill, Graeme Down, George Kiossoglou, and Peter Gibbs

Subjects
Consumer involvement, Cancer research, Research design and conduct, Medicine, Medicine (General), R5-920
Abstract

Abstract Background Consumer involvement is considered an essential component of contemporary cancer research, with a movement towards participatory methods, to the benefit of consumers and researchers. Overall, in-depth research on participant experiences and perceptions of their co-designer role—and how these may (or may not) change during a co-design project—is limited. The purpose of this paper was to synthesise the reflective accounts of consumers, project staff, and a researcher who partnered on a project to develop a personalised care plan template, with the aim of generating guidance for others looking to partner with consumers in health and medical research. Here, our team of researchers, project staff, and consumers reflect on the experience of working together using Gibbs’ Reflective Cycle, which was completed by team members with responses then undergoing inductive data analysis. Results Reflections are categorised under three core themes: (1) setting up the group and building relationships (2) measuring the value of consumer involvement, and (3) potential challenges for consumer involvement. Through reflection on our experiences of co-design, our team developed and identified practical strategies that contributed to the success of our partnership. These include setting expectations as a group; having experienced consumers on the team; having regular, pre-scheduled meetings that run to time; and working to overcome challenges identified by the group such as power imbalances, time commitment, and lack of diversity. Conclusion These practical reflections on creating a safe and supportive environment in which genuine consumer involvement can take place could inform other institutions and researchers looking to work meaningfully with consumers in research.

Published
2024
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50. A prognostic model for use before elective surgery to estimate the risk of postoperative pulmonary complications (GSU-Pulmonary Score): a development and validation study in three international cohorts

Author

Bravo, Laura, Simões, Joana FF, Cardoso, Victor R, Adisa, Adewale, Aguilera, Maria L, Arnaud, Alexis, Biccard, Bruce, Calvache, Jose, Chernbumroong, Saisakul, Elhadi, Muhammed, Ghosh, Dhruv, Gujjuri, Rohan, Harrison, Ewen, Ho, Michael WS, Kasivisvanathan, Veerappan, Kouli, Omar, Lederhuber, Hans, Li, Elizabeth, Löffler, Markus W, Isik, Arda, Marcus, Hani, Martin, Janet, McLean, Kenneth A, Minaya-Bravo, Ana, Modolo, María Marta, Nepogodiev, Dmitri, Pellino, Gianluca, Picciochi, Maria, Pockney, Peter, van Ramshorst, Gabriëlle, Riad, Aya, Sayyed, Raza, Sund, Malin, Gkoutos, Georgios, Bhangu, Aneel A, Glasbey, James C, Bravo, L, Cardoso, V, Glasbey, J, Chernbumroong, S, Nepogodiev, D, Simoes, JFF, Mclean, KA, Bhangu, AA, Gkoutos, G, Kadir, B, Omar, O, Revell, E, Bahrami-Hessari, M, Ahmed, Waheed-Ul-Rahman, Argus, Leah, Ball, Alasdair, Bhangu, Aneel, Bywater, Edward P, Blanco-Colino, Ruth, Brar, Amanpreet, Chaudhry, Daoud, Dawson, Brett E, Duran, Irani, Gujjuri, Rohan R, Jones, Conor S, Harrison, Ewen M, Kamarajah, Sivesh K, Keatley, James M, Lawday, Samuel, Mann, Harvinder, Marson, Ella J, Mclean, Kenneth A, Norman, Lisa, Ots, Riinu, Outani, Oumaima, Santos, Irène, Shaw, Catherine, Taylor, Elliott H, Trout, Isobel M, Varghese, Chris, Venn, Mary L, Xu, William, Dajti, Irida, Gjata, Arben, Kacimi, Salah Eddine Oussama, Boccalatte, Luis, Cox, Daniel, Aigner, Felix, Kronberger, Irmgard Elisabeth, Samadov, Elgun, Alderazi, Amer, Padmore, Greg, van Ramshorst, Gabrielle, Lawani, Ismaïl, Cerovac, Anis, Delibegovic, Samir, Baiocchi, Glauco, Gomes, Gustavo Mendonça Ataíde, Lima Buarque, Igor, Gohar, Muhammad, Slavchev, Mihail, Nwegbu, Chukwuemeka, Agarwal, Arnav, Ng-Kamstra, Joshua, Olivos, Maricarmen, Lou, Wenhui, Ren, Dong-Lin, Calvache, Jose Andres, Perez Rivera, Carlos J, Danic Hadzibegovic, Ana, Kopjar, Tomislav, Mihanovic, Jakov, Avilés Jiménez, Pablo Mijahil, Gouvas, Nikolaos, Klat, Jaroslav, Novysedlák, René, Amisi, Nicolas, Christensen, Peter, El-Hussuna, Alaa, Batista, Sylvia, Lincango-Naranjo, Eddy, Emile, Sameh, Arévalo Sandoval, Danilo Alfonso, Dhufera, Hailu, Hailu, Samuel, Mengesha, Mengistu G, Kauppila, Joonas H, Arnaud, Alexis P, Demetrashvili, Zaza, Albertsmeier, Markus, Löffler, Markus W., Kwesi Acquah, Daniel, Ofori, Bernard, Tabiri, Stephen, Metallidis, Symeon, Tsoulfas, Georgios, Aguilera-Arevalo, Maria-Lorena, Recinos, Gustavo, Mersich, Tamás, Wettstein, Dániel, Ghosh, Dhruva, Kembuan, Gabriele, Brouki Milan, Peiman, Khosravi, Mohammad Hossein, Mozafari, Masoud, Hilmi, Ahmed, Mohan, Helen, Zmora, Oded, Gallo, Gaetano, Pata, Francesco, Fujimoto, Yuki, Kuroda, Naoto, Satoi, Sohei, Abou Chaar, Mohamad K., Ayasra, Faris, Fakhradiyev, Ildar, Hamdun, Intisar Hisham Said, Jin-Young, Jang, Jamal, Mohammad, Karout, Lina, Gulla, Aiste, Rasoaherinomenjanahary, Fanjandrainy, Samison, Luc Hervé, Roslani, April Camilla, Durán Sánchez, Iran Irani, Gonzalez, Diana Samantha, Martinez, Laura, Martínez, María José, Nayen, Alejandra, Ramos-De la Medina, Antonio, Nunez, Jade, Nashidengo, Pueya Rashid, Shrestha, Ashish Lal, Jonker, Pascal, Kruijff, Schelto, Noltes, Milou, Steinkamp, Pieter, Wright, Deborah, Abdur-Rahman, Lukman, Ademuyiwa, Adesoji, Osinaike, Babatunde, Seyi-Olajide, Justina, Williams, Omolara, Williams, Emmanuel, Pejkova, Sofija, Al Balushi, Zainab, Qureshi, Ahmad Uzair, Abo Mohsen, Mustafa, Abukhalaf, Sadi A., Cukier, Moises, Gomez-Fernandez, Hugo, Shu Yip, Sebastian, Vasquez Ojeda, Ximena Paola, Sacdalan, Marie Dione, Major, Piotr, Azevedo, José, Cunha, Miguel F., Zarour, Ahmad, Bonci, Eduard-Alexandru, Negoi, Ionut, Efetov, Sergey, Kochetkov, Viktor, Litvin, Andrey, Allen Ingabire, Jc, Bucyibaruta, Georges, Faustin, Ntirenganya, Habumuremyi, Sosthene, Imanishimwe, Alphonsine, Jean de Dieu, Haragirimana, Munyaneza, Emmanuel, Ncogoza, Isaie, Alameer, Ehab, Ndong, Abdourahmane, Radenkovic, Dejan, Chew, Min Hoe, Koh, Frederick, Ngu, James, Panyko, Arpád, Bele, Uros, Košir, Jurij Aleš, Daoud, Hassan, Minaya Bravo, Ana Maria, Jayarajah, Umesh, Wickramasinghe, Dakshitha, Adam Essa Adam, Mohammed Elmujtba, Rutegård, Martin, Adamina, Michel, Gialamas, Eleftherios, Horisberger, Karoline, Alshaar, Muhammad, Lohsiriwat, Varut, Charles, Shane, Leventoğlu, Sezai, Lekuya, Hervé Monka, Lule, Herman, Kopetskyi, Slava, Alsaadi, Hayder, Alshryda, Sattar, Alser, Osaid, Bankhead-Kendall, Brittany, Breen, Kerry, Kaafarani, Haytham, Mashbari, Hassan, Bonilla Cal, Fernando, Al-Naggar, Hamza, Maimbo, Mayaba, Mazingi, Dennis, Abbott, Tom, Akhbari, Melika, Bhanderi, Shivam, Chakrabortee, Sohini, Costas-Chavarri, Ainhoa, Demetriades, Andreas K, Desai, Anant, Di Saverio, Salomone, Drake, Thomas, Edwards, John, Evans, Jonathan, Fiore, Marco, Ford, Samuel, Fotopoulou, Christina, Fowler, Alexander, Futaba, Kaori, Ganly, Ian, Grace James, Harelimana, Griffiths, Ewen, Hutchinson, Peter, Hyman, Gabriella Yael, Incorvia, Joseph, Jain, Ritu, Jenkinson, Michael, Khan, Tabassum, Knight, Stephen Richard, Kolias, Angelos, Kudsk-Iversen, Søren, Kwan, Tsun Yu, Leung, Elaine, Mayol, Julio, McKay, Siobhan, Meara, John G., Mills, Emily, Moug, Susan, Patel, Akshay, Perinotti, Roberto, Rice, Henry E., Roberts, Keith, Schache, Andrew, Shaw, Richard, Smart, Neil, Stephens, Matthew, Stewart, Grant D., Teasdale, Ella, Vidya, Raghavan, Wright, Naomi, Wuraola, Funmilola, Agastra, Ervis, Thereska, Dariel, Lucchini, Sergio Martin, Laudani, Veronica, Chwat, Carina, Pedraza Salazar, Ivana Ines, Pantoja Pachajoa, Diana Alejandra, Duro, Agustin, Calderón Arancibia, José Alfredo, Bright, Tim, Hollington, Paul, Zhou, Xuanyu, Kroon, Hidde M, Farfus, Anthony, Barker, John, Watson, Eleanor, Stevens, Sean, Latif, Haider, Dawson, Amanda Caroline, Chuan, Alwin, Muralidharan, Vijayaragavan, Wong, Enoch, Ackermann, Travis, Pacilli, Maurizio, Hodgson, Russell, Heriot, Alexander, Choong, Peter, Brown, Wendy, Lidder, Surjit, Yeung, Justin, Traeger, Luke, Regalo, Guillermo, Gourlay, Ralph, Badiani, Sarit, Koh, Cherry, Putnis, Soni, Haider, Fayza, Rahman Mitul, Ashrarur, Komen, Niels, Dhondt, Bert, Cappeliez, Serge, Pigeolet, Manon, Schoneveld, Martijn, Stijns, Jasper, Oosterlinck, Wouter, Flamey, Nicolas, Kpangon, Cyrille, Agbadebo, Mouhamed, Tobome, Sèmèvo Romaric, Vieira Barros, Aldo, Aguiar Júnior, Samuel, Campos, Heloisa Galvão do Amaral, Gross, Jefferson, José Fernandez Coimbra, Felipe, Kowalski, Luiz Paulo, Makdissi, Fabiana, Nakagawa, Suely, Pedreira Duprat Neto, Joao, Vartanian, Jose Guilherme, Yazbek, Guilherme, Zequi, Stenio C, Flumignan, Ronald, Jaworska, Natalia, Dell, Angela, Shanthanna, Harsha, Behzadi, Abdollah, Nessim, Carolyn, Mozel, Michelle, St-germain, Pascal, Russell, Crispin, Groot, Gary, Safieddine, Najib, Wijeysundera, Duminda, Eskander, Antoine, Chadi, Sami, MacKenzie, Shawn, Heredia, Fernando, Villanueva, Julio, Waissbluth, Sofia, Macchiavello, Roberto, Escudero, Mario I, Fuentes, Tyare, Mimica, Ximena, Bolivar Saenz, Dinimo, Caicedo, Lina, Alzate, Juan Pablo, Luna, Joaquin, Pedraza Alonso, Nestor Fabian, Ortiz Silva, Camilo, Rodriguez, Juliana, Silva-Igua, Liliana, Torres, Martha Luz, Trujillo, Lina María, Nieto Calvache, Albaro José, Balanta-Melo, Julián, Figueroa - Casanova, Rafael, García-Montoya, Oscar-Julián, Marulanda Toro, Carlos Andres, Mendoza Arango, Maria Clara, Diaz Martinez, Eneida, Gutiérrez Perdomo, Valentina, Montenegro, Emileth, Rodriguez-Abreu, Julia, Abouelnagah, Galal, Shehata, Sameh, Hossam Eldin Fouad Rida, Ahmed, Hassan, Ramy A., Saad, Mahmoud M., Reda Loaloa, Mohamed, Mostafa, Badr, Qassem, Mohamed, Fahmy, Mohamed, Abozied, Hesham, Azzam, Ahmed Y, Ghozy, Sherief, Sallam, Asser, Shehta, Ahmed, Abdelkhalek, Mohamed, Samaka, Rehab, Morsy, Amr, Sherif, Ahmed Elshawadfy, Abebe, Metasebia, Negussie, Abraham, Fisseha, Tigist, Shumbash, Kibruyisfaw, Yasin, Seid Mohammed, Akililu, Yemisirach Bizuneh, Megersa, Abebe, Tefera, Teshome, Melatework, Atnafu, Bahru, Tsegaye, Bereket, Bezabih, Yoseph Solomon, Sisay, Silamlak, Bekele, Kebebe, Jira, Moa, Derilo, Habtamu, Degefa, Eyueal, Tadesse, Anteneh, Nidaw, Melkamu, Sarjanoja, Elise, Testelin, Sylvie, Boucher, Sophie, Jouffret, Lionel, Lakkis, Zaher, Zarzavadjian Le Bian, Alban, Harper, Luke, Danguy des Déserts, Marc, André, Benoît, Slim, Karem, Verhaeghe, Romain, Police, Andrea, Girard, Edouard, Chebaro, Alexandre, Subayi Nkembi, Armande, Arnalsteen, Laurent, Ballouhey, Quentin, Mege, Diane, Jeandel, Clement, Duchalais, Emilie, Bouche, Pierre-Alban, Manceau, Gilles, Crétolle, Célia, Hervieux, Erik, Girard, Noémie, Seguin-Givelet, Agathe, Gaujoux, Sebastien, De Simone, Belinda, Boisson, Matthieu, Bergeat, Damien, Fredon, Fabien, Nappi, Francesco, Kassir, Radwan, Scalabre, Aurélien, Migliorelli, Federico, Ezanno, Anne-Cecile, Seeliger, Barbara, Vaysse, Charlotte, Charbonneau, Helene, Misrai, Vincent, Abbo, Olivier, Angeles, Martina Aida, Brunaud, Laurent, Modabber, Ali, Wolf, Sebastian, Kamphues, Carsten, Höhn, Philipp, Glowka, Tim R., Rokohl, Alexander Christopher, Bork, Ulrich, Fluegen, Georg, Horch, Raymund E., Schmedding, Andrea, Schnitzbauer, Andreas, Eberbach, Helge, Schlager, Daniel, Spelsberg, Fritz, Keppler, Lena, Hecker, Andreas, Wolfer, Susanne, Ronellenfitsch, Ulrich, Nitschke, Christine, Peiper, Christian, Hakami, Ibrahim, Welter, Stefan, Nikolaieva, Karine, Roth, Andreas, Lindert, Judith, Gousias, Konstantinos, Rissmann, Anke, Linz, Valerie Catherine, Rahbari, Nuh, Rassweiler-Seyfried, Marie-Claire, Gut, Anna Eleonora, Gempt, Jens, Reim, Daniel, Wagner, Arthur, Keppler, Alexander M., Stoleriu, Mircea Gabriel, Saier, Tim, Stadler, Josef, Kaiser, Julia Christina, Brunner, Stefan M., Pfister, Karin, Herzberg, Jonas, Nowak, Kai, Reinhard, Tobias, Stavrou, Gregor A., Königsrainer, Alfred, Konrads, Christian, Quante, Markus, Laban, Simon, Pusch von, Silke, Hirschburger, Markus, Doerner, Johannes, Wiegering, Armin, Tampaki, Ekaterini Christina, Gutiérrez Ruiz, Alitza, Rodas, Alejandra, Portilla, Ana Lucía, Carrera, Jacqueline, Barrios Duarte, Amalia, Lowey, Megan, Barillas, Sabrina, Vaishnav, Dhaivat, Gorantlu Chowdappa, Raghunandan, Madabhavi, Irappa, Bhat, Dhananjaya, Kumar Venkatappa, Sunil, Thakar, Sumit, Jain, Kavitha, Kumar, Aruna, Nagar, Manoj, Mishra, Tushar, Sekar, Arunkumar, Gupta, Anand, Kaman, Lileswar, Karthigeyan, Madhivanan, Tripathi, Manjul, Rammohan, Ashwin, Othiyil vayoth, Sudheer, Rajanbabu, Anupama, Subbian, Anbukkani, Gupta, Rahul, Raut, Monish, Evelyn. R, Nissi, Kannaiyan, Lavanya, Matai, Dr. Anil, Misra, Sanjeev, Bhende, Vishal, Muthu, Sathish, Ghosh, Indranil, Sharma, Abhishek, Bajaj, Ankur, Rajan, Shiv, Agarwal, Gaurav, Pawar, Pranay, Alexander, Philip, Vijayakumar, M, Hameed, BM Zeeshan, L, Badareesh, Chaudhry, Navneet Kumar, Baliarsing, Lipika, Dharap, Satish, Kulkarni, Amruta, Thyavihally, Yuvaraja, Pramesh, C S, Soni, Rajesh, Dube, Surya Kumar, Sharma, Shilpa, Singh, Harvinder, Bains, Lovenish, Ghodke, Rahul, Kumar, Ashwani, Sodhai, Vivek, Maji, Suvendu, Basu, Somprakas, Mahakalkar, Chandrashekhar, Kannan, Ravi, Mehraj, Asif, N, Ranganath, Phadnis, Ashish, Yadev, I, Kavalakat, Alfie, Mittal, Rohin, Vallam, Karthik Chandra, Akhavizadegan, Hamed, Rezghi Maleki, Esmaeil, Yousefzadeh Kandevani, Naser, Ikele, Hilary, McNestry, Catherine, Fleming, Christina, O’Brien, Stephen, Abd Elwahab, Sami, Davis, Niall, Javadpour, Mohsen, McDonnell, Brendan, O Connor, Clare, Bolger, Jarlath, Clancy, Cillian, Croghan, Stefanie M, Donlon, Noel, 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Mathew, Godwin David, Abel, Livingston, Barla, Ravi Kishore, Benjamin, Santosh, Bliss, Jeremy, Ete, Geley, James, Deeptiman, Jesudason, Mark Ranjan, Karnan, Gomathi, Mark Samuel, Vasanth, Nathan, Senthil K, Selvaraj, Daniel, Surendran, Suraj, T D, Hariharan, Thangaraj, Santhosh Kumar, Thomas, Varghese, Dilmy, Mohammad Adya Firmansha, Pratama, Dedy, Sugiarto, Adhrie, Surya, Ilham Utama, Tango, Tamara, Hasyim, Andi, Susanti, Ade, Saputra, Teddy, Syarifuddin, Erwin, Islam, Andi Asadul, Anam, Khoirul, Sugianto, Julius Albert, Lestari, Mayang Indah, Amba, Erick Gamaliel, Apriawan, Tedy, Wathoni, Roidah Taqiyya Zahra, Widyastuti, Yunita, Yun Jufan, Akhmad, Etezadpour, Mohammad, Mehrad-Majd, Hassan, Rajaei, Parisa, Mehdizadeh, Mohammad, Soltani, Mina, Ali Moazami Pour, Gholamreza Azarnia, Alizadeh, Narges, Hossein Mokarami, Tehrani, Shahrzad, Alborzi, Majid, Bagheri, Hamed, Eshraghi, Mohsen, Fatemi manesh, Hassan, Hejazi, Seyed fakhreddin, Pezeshki Modarres, Mahdi, Shafiee, Ali, Vafaeimanesh, 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Francesco Maria, Colombo, Giovanni, De Lucia, Francesca, De Virgilio, Armando, Ferreli, Fabio, La Raja, Carlotta, Milana, Flavio, Rossi, Vanessa, Russo, Elena, Tamburello, Sara, Zerbi, Alessandro, Bona, Davide, Adamoli, Laura, Ansarin, Mohssen, Chu, Francesco, De Berardinis, Rita, Pietrobon, Giacomo, Sedda, Giulia, Caputo, Maria, Cellerino, Paola, Crespi, Michele Achille, Danelli, Piergiorgio, Ferrara, Francesco, Baccellieri, Domenico, Candiani, Massimo, Casiraghi, Arianna, Cipriani, Federica, De Nardi, Paola, Mortini, Pietro, Nocera, Gianluca, Pozzoni, Mirko, Ruffolo, Alessandro Ferdinando, Spina, Alfio, Barberio, Cristina, Beretta, Luigi, Cavenago, Francesca, Fresilli, Stefano, Landoni, Giovanni, Lombardi, Gaetano, Bonomi, Stefano, Guaglio, Marcello, Sala, Laura, Segattini, Silvia, Piccoli, Micaela, Migliore, Marco, Sasia, Diego, Cereda, Marco, Dell’Oro, Cristina, Fogliati, Alessandro, Tamini, Nicolò, Castaldi, Antonio, Bracale, Umberto, Lionetti, Ruggero, Pagano, Gianluca, Peltrini, 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Oseihie, Irowa, Omorodion, Nwashilli, Nnamdi, Obahiagbon, Osarobo, Onyeagwara, Ngozi, Oseghale, Eustace, Osemwegie, Osarenkhoe, Osho, Philip, Akanni, Bolaji, Ezomike, Uchechukwu, Okoro, Kelechukwu, Okwara, Blasius, Abdulsalam, Khalifa, Agida, Eyaofun, Ajibola, Hafees, Benard, Adeka, Buba, Amina, Eniola, Sefiu, Isah, Aliyu, Olute, Anne, Osagie, Olabisi, Pius Ogolekwu, Idoko, Ademola, Samuel, Afuwape, Oludolapo, Daodu, Israel, Egbuchulem, Ifeanyichukwu Kelvin, Nwaorgu, Onyekwere, Obadan, Izegaegbe, Odeyemi, Olubunmi, Ogundoyin, Omowonuola, Okere, Oghenekevwe, Oladiran, Ajibola, Olagunju, Naomi, Olawoye, Olayinka, Olusanya, Adeola, Oyelakin, Oyeleye, Ugwu, Ebere, Atoyebi, Oluwole, Bode, Chris, Chibuike George, Ihediwa, Ezenwankwo, Francis, Fatuga, Adedeji, Ladipo-Ajayi, Oluwaseun, Ojewola, Rufus Wale, Okunowo, Adeyemi, Ugwu, Aloy Okechukwu, Adebara, Idowu, Adeyemo, Olabisi, Banjo, Oluseyi, Obateru, John, Ojo, Owolabi, Oluwafemi, Fatudimu, Adelaja, Aderinsola, Atobatele, Kazeem, Ayodele, Olabamidele, Bello, Funmi, Omisanjo, Olufunmilade, Aderounmu, Adewale, Ajekwu, Temitope, Ajekwu, Samuel, Akeem Aderogba, Adeleke, Balogun, Simon, Ojo, Olugbenga, Olasehinde, Olalekan, Olugbami, Adebayo, Mohammed, Tajudeen, Afolabi, Abdulrahman O., Aremu, Isiaka, Ibraheem, Gbadebo, Odeyemi, Peter Olalekan, Olabinjo, Afusat, Raji, Hadijat Olaide, Salawu, Hafeez, Uche-Okonkwo, Kenechukwu, Anipole, Olalekan, Adesina, Oluwaseyi, Enwerem, Kenneth, Isichei, Mercy, Aghadi, Ifeanyi, Lawal, Jamila, Taingson, Matthew, Yusuf, Nuhu, Takai, Idris Usman, Aji, Sani Ali, Bello-Muhammad, Nafisatu, Garzali, Ibrahim Umar, Hasheem, Muhammad Ghazali, Hassan, Sadiq, Ibrahim Usman, Mustapha, Magashi, Mahmoud Kawu, Mukhtar, Ibrahim Aliyu, Nwachukwu, Callistus, Suleiman, Ibrahim, A, Maryam, Mahmood, Farrukh, Salihu, Mohammed, Alegbeleye, Justina Omoikhefe, Awopeju, Abimbola, Fyneface-Ogan, Sotonye, Kasso, Terhemen, Onwuagha, Ijeoma, Salami, Babatunde, Ajagha, Okeoghene, Awaisu, Mudi, Nwabuoku, Stanley Emeka, 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Khan, Muhammad Osama, Kumari, Sameeta, Malik, Muhammad Jehangir, Mansoor, Maheen, Mubarik, Areeba, Naz, Falak, Qamar, Javeria Bilal, Sadia, Haleema, Safri, Mohammad, Sattar, abida K., Siddiqui, Muhammad Ahsan Iqbal, Waqar, Usama, Ghufran, Muhammad Ali, Memon, Amjad Siraj, Samo, Khursheed Ahmed, Aswani, Manisha, Manzoor, Shahneela, Muhammad, Shoaib, Moin, Inshrah, Najjad, Muhammad Kazim Rahim, Zia, Kashif, Ali Shaikh, Shafqat, Hussaini, Dr, Kamal, Wajahat, Mughal, Zeeshan Uddin, Nadeem, Areeba, Nayyer, Fatima, Nisa, Kanwal, Rauf, Yaseen, Saleem, Shah Masabat, Shah, Aaqil, Siddiqui, Safia, Tariq, Nida, Zamir, Mehroz, Hafiz Muhammad Arif, Ahmed, Ehsan, Ahmed, Jawad, Akbar, Bilal, Ali, Abrar Ashraf, Iqbal, Zafar, Jameel, Muhammad Khurram, Janjua, Muhammad Haris, Janjua, Azwa, Naqi, Syed Asghar, Naumeri, Fatima, Nazir, Umer, Rafi, Yaseen, Saleem, Irfan, Shaukat, Ayesha, Sikandar, Hafiz Saqib, Tu zahara, Fatima, Ali, Ahsan, Jawad, Muhammad, Noman, Hamza, Taha, Dr Hassan, Dr. Gul e Raana, Muhammad Ghulam Qadir, Ali, Imran, Asjad, Muhammad, Ayyaz, Mahmood, Bajwa, Luqman Ali, Bhatti, Samiullah, Butt, Usman, Chishti, Muhammad Haris, Hassan, Muhammad, Hassan, Usman, Hayat, Khizar, Khan, Rohma, Latif, Usman, Majeed, Faizan, Malik, Kiren, Nabi, Muhammad shoaib, Sadiq, Muhammad Hamza, Saeed, Komal, Sarfraz, Kiran, Sohail, Rubina, Syed muhammad, Bilal, Umair, Usama, Wasim, Shafqat, Wasim, Tayyiba, Imran Anwar, Muhammad, Ali, Ammar, Aslam, Muhammad, Sher e Murtaza, Muhammad, Faizi, Fouzia, Khan, Hamza, Akhtar, Muhammad Shaheer, Amin, Hasbi Allah, Ayub, Bakhtawar, Basir, Muhammad, Gul, Hina, Khan, Muhammad faisal, Moeen, Aiman, Mohmand, Obaid, Rahim, Rehana, Shafqat, Tanveer, Ur Rehman, Shams, Daud, Mashal, Abid, Rubaba, Farkhanda, Tallat, Malik, Sobia, Salim, Ruqyyah, Shaheen, Aneela, Ahmed, Faryal, Amjid, Zarafshan, Ishtiaq, Daniyal, Nagra, Ramisha Naseer, Saleem, Maleeha, Saleem, Bushra, Shabbir, Raja Khalid, Shaheen, Azka, Awad, Hadeel, Wafi, Dalia, Al-Slaibi, Ibrahim, I. 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Salam, Chen, Pengchi, Doshi, Neel, Gorgoraptis, Stefanos, Hatim Ali, Ali Asgar, Ng, Benjamin, Risk, Omar Ben Forge, Soleymani majd, Hooman, Ali, Roshneen, Ameen, Abdur-rafee, Belcher, Elizabeth, Ganau, Mario, Hughes, Anne, McNamara, John, Plaha, Puneet, Sravanam, Sanskrithi, Norris, Jonathan, Alasadi, Ala, Donnelly, Lauren, Harding, Thomas, Shum, Christie Hok Yung, Slevin, Zack, Acharya, Shivanie, Amditis, Pantelis, Bashir, Aladdin, Khan, Maham, Marshall-Roberts, Rachel, Miller, Douglas, Miller, Sarah, Nawara, Hossam, Singh, Simran, Smolarek, Sebastian, Yao, Lu, Armstrong, Lara, Lockhart, Jessica, Ashbridge, James, Di Donato, Nadine, Dipper, Matthew, Stefan, Samuel, Khincha, Priyatma, Riaz, Kazim, Shehrazi, S Ali Raza, Anazor, Fitzgerald, Brown, Sarah, Chadha, Radhika, Crawley, Emily, Kulkarni, Avadhut, Lewis, Francesca, Messina, Gianfranco, Bird, Sophie, Chaudhry, Umer, Prakash Narayan, Prabhat, Khan, Karishma, Murali, Sreedutt, Papidze, Ketevan, Ali, Aoun, Haque, Saeef, Mukherjee, Samrat, Wickramarachchi, Lilanthi, Yang, Yu Hsuen, Bitar, Samer, Chelva, Ruth, Gabr, Abdullah, Madni, Abdul, Mohamed, Musheer Hussain, Ramesh, Ashwanth, Ugam, Al-Tamimi, Yahia, Bacon, Andrew, Catto, James, Rominiyi, Ola, Tame, Oliver, Jackson, Richard, Kiely, John, Anjarwalla, Naffis, Kahka, Ehab, Patel, Arjun, Saeid, Sawsan, Samadi, Nilofar, Karar, Shoura, McCullough, Rebekah, Punnen, Aaron Julius, Danwaththa Liyanage, Aloka Suwanna, Aleem, Muhammad, Cathcart, Russell, Cohen, Olivia, Brinkler, Rebecca, Hayat, Zara, Parry, James, Adegbola, Samuel, Yeoh, Clarence, Melissa, Bromage, Stephen, Chatterji, Somashree, George, Suku, George, Smitha, Hunt, Janette, Kujawa, Magda, Munshi, Fatema, Rooney, Joanna, Zakieh, Imad, Zhang, Yuhao, Evans, Daisy, Sachdev, Bobby, Sadia, Uzma, Rajgor, Amarkumar D, Walters, Holt, Dube, Manas, Watson, Nicholas, Ananth, Sankar, Dhillon, Dharminder, Henry, Alastair, Lau, Godfrey, Li, Zoe, Shah, Ketan, Castelhano, Rute, Shah, Vinay, Win, Khine Myat, Davoudi, Kaveh, Foster, Paul, Hunt, Louise, Kamalakannan, Bhavani, Macdonald, Hamish, Morrison, Jo, Newitt, Laura, Parwaiz, Hammad, Slade, George, Stewart, Charles Geoffrey Dermot, Rhee, Jae, Sykes, Rosemary, Dickason, Aubrey, Ekpo, Ekemini, Scott, Rupert, de Rome, Katherine, Sahnan, Kapil, Ismayl, Ghiath, Moores, Thomas, Simmons, Mark, Techaboonanake, Sita, Abdelgalel, Khaled, Amin, Verda, Bhatnagar, Anuj, Charalampakis, Vasileios, Ramcharan, Sean, Galiveeti, Venkat mukund reddy, Massri, Erfan, Hassan, Abdulhakim, Lane, Oliver, McLellan, Morag, Shamim, Sarah, Vinayagam, Raman, Ross, Fiona, Blair, James, Dewan, Varun, Drew, William, Iftikhar, Zainab, Milner, Sean, Rajdev, Kishan, Reid, Jeremy, Thomas, Osmond, Adewusi, Mas’ud, Duckett, Abigail, El Falaha, Sara, Ooi, Chun, Mohamed Salim, Mohamed Ashiq, Ireson, Rebecca, MacDonald, Luisa, Ribeiro, Barbara, Savage, Alistair, Sharma, Tanisha, Swift, Paul, Elswick, Chase, Hemmila, Mark, Wong, Jane J, Amin, Dina, Chabuz, Carolyn, Gergen, Anna, Getz, Anne, Harmon, Laura, McIntyre, Jr., Robert, Meguid, Robert, Rodriguez, Kenny, Scott, Christopher, Steward, Lauren, Stewart, Camille, Thieu, Daniel, Velopulos, Catherine, Vogel, Jon, Bengtson, Erika, Hill, Charles, Holan, Cole, Kay, Hannah, McElhinney, Kathryn, Osterberg, E. Charles, Rossano, Ayane, Trust, Marc, Bigelow, Benjamin, Jain, Amit, Yesantharao, Lekha, Zhang, Bo, Abdou, Hossam, Mazzeffi, Michael, Rock, Peter, Afshar, Salim, Carlson, Laura, Kurtz, Michael, Nathan, Meena, Taghinia, Amir, Williams, Vivian, Cooper, Zara, Mahvi, David, Okafor, Barbara, Roxo, Vanessa, Burks, Ciersten, Jabbour, Nicolette, Sabra, Joseph, Wason, Shaun, Dorken Gallastegi, Ander, Gebran, Anthony, McTague, Michael, Ross, Samuel, Alvarado, Rosalinda, Bhama, Anuradha, Govekar, Henry, Kokosis, George, Millikan, Keith, Myers, Jonathan, Pappas, Sam, Siparsky, Nicole, Tsambarlis, Peter, Quillin, Ralph, Ekrami, Elyad, Kai, Li, Decker, Cassie, Aoun, Salah, Kwon, David, Barbas, Andrew, Dotters-Katz, Sarah K., Ellett, Tressa, Flamant, Etienne, Lazarides, Alexander, Refaat, Motasem, Soderlund, Torre, Velasquez, Camilo, Arrangoiz, Rodrigo, Mijares Olivo, Maria Fernanda, Vasudevan, Vanitha, Katz, Matthew, Nguyen, Huan, Pieretti, Alberto, Roland, Christina L, Baral, Perel, Beahm, D. 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