492 results on '"JIA Hao"'
Search Results
2. IL-18 expression in clinical human pituitary adenoma
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Qian-Cheng Meng, Ning Liu, Ning Wang, Guo-Fu Li, Qi Shao, and Jia-Hao Yao
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Adenoma ,endocrine system ,medicine.medical_specialty ,endocrine system diseases ,Biomedical Engineering ,Biophysics ,Health Informatics ,Bioengineering ,Adrenocorticotropic hormone ,Biomaterials ,03 medical and health sciences ,0302 clinical medicine ,Thyroid-stimulating hormone ,Pituitary adenoma ,Internal medicine ,Gene expression ,Humans ,Medicine ,Pituitary Neoplasms ,Prolactinoma ,030304 developmental biology ,0303 health sciences ,business.industry ,Pituitary tumors ,Interleukin-18 ,medicine.disease ,digestive system diseases ,Prolactin ,stomatognathic diseases ,Real-time polymerase chain reaction ,Endocrinology ,030220 oncology & carcinogenesis ,business ,hormones, hormone substitutes, and hormone antagonists ,Information Systems ,Hormone - Abstract
BACKGROUND: IL-18 is known as an interferon-inducing factor that belongs to the IL-1 family, and is synthesized as an inactive precursor protein. OBJECTIVE: The present study aims to investigate the expression of IL-18, IL-18R, R and IL-18 binding protein (BP) mRNA in various types of human pituitary tumors, such as adrenocorticotropic hormone (ACTH), growth hormone (GH), prolactin (PRL), thyroid stimulating hormone (TSH)-producing adenomas and non-function adenomas. METHODS: Pituitary adenoma tissues were obtained during the surgery of 41 patients: nine patients had ACTH-producing pituitary adenomas, nine patients had GH-producing pituitary adenomas, five patients had TSH-producing pituitary adenomas, seven patients had PRL-producing pituitary adenomas, and 11 patients had non-functioning adenomas. The mRNA expression levels of IL-18, IL-18BP, IL-18R and IL-18R were quantified using real-time quantitative PCR. RESULTS: The mRNA expression of IL-18 was significantly higher in ACTH-, GH- and PRL-producing adenomas, when compared to non-function tumors. Similarly, a significantly higher mRNA expression of IL-18BP and IL-18R was observed in ACTH-, GH- and PRL-producing adenomas, when compared with non-functional adenomas. In contrast, no upregulation of IL-18R mRNA was observed in any of the pituitary adenomas. CONCLUSIONS: The mRNA levels of IL-18, IL-18BP and IL-18R are significantly elevated in clinical pituitary tumors, such as ACTH-, GH- and PRL-producing adenomas, when compared to non-functional adenomas. These present results suggest the possibility that IL-18 may be involved in the pathogenesis of pituitary adenoma.
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- 2021
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3. Computer Vision Technology Based on Sensor Data and Hybrid Deep Learning for Security Detection of Blast Furnace Bearing
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Tao Xue, Jia-Hao Wang, Ai-Min Yang, Ke Yang, and Jian-Ming Zhi
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Bearing (mechanical) ,business.industry ,Computer science ,Deep learning ,Feature extraction ,Fault (power engineering) ,Field (computer science) ,law.invention ,law ,Feature (computer vision) ,Hit rate ,Computer vision ,Artificial intelligence ,Noise (video) ,Electrical and Electronic Engineering ,business ,Instrumentation - Abstract
It is a big challenge to realize accurate security detection of blast furnace bearing at the same time so as to guarantee the security of equipment. To end this problem, this paper proposed a computer vision technology based on sensor data and hybrid deep learning method for the solution. We use Variational Mode Decomposition (VMD) algorithm which is a new time-frequency analysis method, which can decompose multi-component signals into multiple single-component amplitude-modulated signals at one time to decompose and deal with the sensor data of bearing fault, so as to realize the effective stripping of fault components and original components from sensor data. Using the artificial intelligence mentioned above, the features can be quickly and accurately extracted. By combining the advantages of deep learning, we improve the coupling mechanism and implement a hybrid deep learning-based computer vision method which greatly improves the calculation speed and accuracy of bearing fault diagnosis. It can be fully connected with the feature extraction algorithm VMD, which overcomes the problem that the bearing feature component is easy to be submerged and difficult to extract under the condition of high temperature and strong noise. The results show that the optimal selection of parameters of computer vision technology based on sensor data and hybrid deep learning can be realized through training the sensor data obtained from the experiment. The optimized hybrid deep learning-based computer vision algorithm can achieve 97.4% bearing fault diagnosis hit rate, which is an advanced application of deep learning algorithm in the engineering field.
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- 2021
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4. Eight Trigrams Boxing Combined with Wenyang Huoxue Recipe Improves Cardiopulmonary Motor Function and the Quality of Life of Patients with Coronary Heart Disease
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Miao Zhou, Xiao-Zhen Hu, and Jia-Hao Weng
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medicine.medical_specialty ,Rehabilitation ,business.industry ,medicine.medical_treatment ,Therapeutic effect ,Percutaneous coronary intervention ,International Journal of General Medicine ,General Medicine ,Traditional Chinese medicine ,medicine.disease ,Metabolic equivalent ,cardio-pulmonary function ,Angina ,cardiac rehabilitation ,quality of life ,Quality of life ,eight trigrams boxing ,Conventional PCI ,medicine ,Physical therapy ,Wenyang Huoxue recipe ,business ,Original Research - Abstract
Xiao-Zhen Hu, Miao Zhou, Jia-Hao Weng Department of Internal Medicine-Cardiovascular, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, Peopleâs Republic of ChinaCorrespondence: Jia-Hao WengDepartment of Internal Medicine-Cardiovascular, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, No. 274 of Zhijiang Middle Street, Jingan District, Shanghai, 200071, Peopleâs Republic of ChinaTel +86 21 56639828Fax +86 21 56639828Email wemgjh@163.comObjective: To investigate the therapeutic effects of Eight Trigrams Boxing combined with a Wenyang Huoxue recipe on the cardiopulmonary motor function and quality of life in patients with coronary heart disease after an interventional operation (percutaneous coronary intervention [PCI]); further, to provide new clinical evidence and ideas for integrated traditional Chinese and Western medicine in cardiac rehabilitation.Methods: Sixty patients were selected and successfully underwent PCI in designated hospitals after four weeks, from June 2018 to September 2020. The patients were randomly divided into a treatment group and control group, and both groups were given standard pharmaceuticals after PCI and the Wenyang Huoxue recipe. The treatment group was additionally treated with the Eight Trigrams Boxing Method. The control group was provided with aerobic rehabilitation exercise. The maximum oxygen uptake (VO2max), metabolic equivalent (MET), the results of a 6-min walking test, the Seattle Angina Questionnaire (SAQ) score, SF-36 score, and other indicators were evaluated before and after treatment. The therapeutic effect was evaluated by comparison between the groups and within the groups.Results: The VO2max, MET, 6-min walking distance, SAQ score, and SF-36 score in both groups improved after treatment compared with before treatment. There was no difference between the two groups before treatment. However, after treatment, the VO2max, MET, 6 min walking distance, SAQ score, and SF-36 score in the treatment group were higher compared with the control group.Conclusion: A traditional Chinese medicine cardiac rehabilitation program of Eight Trigrams Boxing combined with a Wenyang Huoxue recipe can improve the cardiopulmonary function and quality of life of patients. The therapeutic effect was clear and is worthy of further investigation.Keywords: eight trigrams boxing, Wenyang Huoxue recipe, cardiac rehabilitation, cardio-pulmonary function, quality of life
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- 2021
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5. PD‐L1 expression in megakaryocytes and its clinicopathological features in primary myelofibrosis patients
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Chang-Tsu Yuan, Sze-Hwei Lee, Wen-Chien Chou, Chien-Chin Lin, Hwei-Fang Tien, Jia-Hao Liu, Ko-Ping Chang, Jih-Lu Tang, Chao-Hong Wei, Hsin-An Hou, and Cheng-Hong Tsai
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Oncology ,medicine.medical_specialty ,medicine.disease_cause ,B7-H1 Antigen ,Pathology and Forensic Medicine ,Proinflammatory cytokine ,Pathogenesis ,megakaryocyte ,checkpoint ,Megakaryocyte ,Internal medicine ,PD-L1 ,White blood cell ,Pathology ,medicine ,RB1-214 ,Humans ,Myelofibrosis ,Myeloproliferative Disorders ,biology ,business.industry ,Original Articles ,Immune dysregulation ,medicine.disease ,SP142 ,medicine.anatomical_structure ,JAK2 ,PD‐L1 ,Primary Myelofibrosis ,biology.protein ,Immunohistochemistry ,Original Article ,business ,Megakaryocytes - Abstract
Myeloproliferative neoplasms (MPNs) are characterized by upregulation of proinflammatory cytokines and immune dysregulation, which provide a reasonable basis for immunotherapy in patients. Megakaryocytes are crucial in the pathogenesis of primary myelofibrosis (PMF), the most clinically aggressive subtype of MPN. In this study, we aimed to explore PD‐L1 (programmed death‐ligand 1) expression in megakaryocytes and its clinical implications in PMF. We analyzed PD‐L1 expression on megakaryocytes in PMF patients by immunohistochemistry and correlated the results with clinicopathological features and molecular aberrations. We employed a two‐tier grading system considering both the proportion of cells positively stained and the intensity of staining. Among the 85 PMF patients, 41 (48%) showed positive PD‐L1 expression on megakaryocytes with the immune‐reactive score ranging from 1 to 12. PD‐L1 expression correlated closely with higher white blood cell count (p = 0.045), overt myelofibrosis (p = 0.010), JAK2V617F mutation (p = 0.011), and high‐molecular risk mutations (p = 0.045), leading to less favorable overall survival in these patients (hazard ratio 0.341, 95% CI 0.135–0.863, p = 0.023). Our study provides unique insights into the interaction between immunologic and molecular phenotypes in PMF patients. Future work to explore the translational potential of PD‐L1 in the clinical setting is needed.
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- 2021
6. Review on the Application of Metalearning in Artificial Intelligence
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Ziqi Wang, Jiajia Liu, Jia-Hao Wang, Wei Zhang, Qiyuan Lu, Zunqian Zhang, and Pengfei Ma
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Big Data ,General Computer Science ,Computer science ,General Mathematics ,Computer applications to medicine. Medical informatics ,Big data ,R858-859.7 ,Metaknowledge ,Neurosciences. Biological psychiatry. Neuropsychiatry ,Review Article ,02 engineering and technology ,Robot learning ,Field (computer science) ,Machine Learning ,Artificial Intelligence ,0202 electrical engineering, electronic engineering, information engineering ,Reinforcement learning ,Artificial neural network ,business.industry ,General Neuroscience ,020208 electrical & electronic engineering ,General Medicine ,Metalearning ,Unsupervised learning ,020201 artificial intelligence & image processing ,Neural Networks, Computer ,Artificial intelligence ,business ,RC321-571 - Abstract
In recent years, artificial intelligence supported by big data has gradually become more dependent on deep reinforcement learning. However, the application of deep reinforcement learning in artificial intelligence is limited by prior knowledge and model selection, which further affects the efficiency and accuracy of prediction, and also fails to realize the learning ability of autonomous learning and prediction. Metalearning came into being because of this. Through learning the information metaknowledge, the ability to autonomously judge and select the appropriate model can be formed, and the parameters can be adjusted independently to achieve further optimization. It is a novel method to solve big data problems in the current neural network model, and it adapts to the development trend of artificial intelligence. This article first briefly introduces the research process and basic theory of metalearning and discusses the differences between metalearning and machine learning and the research direction of metalearning in big data. Then, four typical applications of metalearning in the field of artificial intelligence are summarized: few-shot learning, robot learning, unsupervised learning, and intelligent medicine. Then, the challenges and solutions of metalearning are analyzed. Finally, a systematic summary of the full text is made, and the future development prospect of this field is assessed.
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- 2021
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7. An IoT-Based Hedge System for Solar Power Generation
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Jerry Chun-Wei Lin, Mu-En Wu, Jia-Hao Syu, Chi-Fang Chao, and Gautam Srivastava
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Mathematical optimization ,Computer Networks and Communications ,Computer science ,business.industry ,Sharpe ratio ,Business model ,Binary option ,Computer Science Applications ,Renewable energy ,Data modeling ,Electricity generation ,Hardware and Architecture ,Signal Processing ,business ,Hedge (finance) ,Solar power ,Information Systems - Abstract
Environmental protection is an important issue in recent decades, and renewable energy is an ideal solution for eco-friendly power generation. Solar-power generation is a popular renewable energy with low cost and small environmental footprint, which leads to exponential growth and high industrial investment. A mature solar business model has been established, but some uncertainties hinder the development, especially when focusing on the lack of solar-radiation. To address these issues, in this article we propose a hedging system to hedge the low-radiation risk for solar-investors through the designed IoT-based data, edge-based models for predicting solar-radiation as well as hedging options. Our experimental results show that the edge-based predictive models can obtain an R-squared value of 0.841 and a correlation coefficient of 0.917. For binary options designed in the hedging system, the broker can obtain stable payoffs with the highest Sharpe ratio of 3.354, and the investors can obtain large payoffs during low-radiation. Our simulation results show the effectiveness of the proposed hedging system for investors (buyer-side), simultaneously, present the motivation of the broker (seller-side) to join the designed hedging system utilized in solar-power generation.
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- 2021
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8. Transfer learning of Bayesian network for measuring QoS of virtual machines
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Xiaodong Fu, Kun Yue, Liang Duan, Binbin Zhang, and Jia Hao
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Computer science ,business.industry ,Distributed computing ,Quality of service ,Bayesian network ,Cloud computing ,02 engineering and technology ,computer.software_genre ,Software ,Artificial Intelligence ,Virtual machine ,Service level ,0202 electrical engineering, electronic engineering, information engineering ,Benchmark (computing) ,020201 artificial intelligence & image processing ,Transfer of learning ,business ,computer - Abstract
The Quality of Service (QoS) of virtual machines (VMs) are ensured through the Service Level Agreements (SLAs) signed between the consumers and the cloud providers. A main way to avoid the SLAs violation is to analyze the relationships among the multiple VM-related features and then measure the QoS of VMs accurately. Therefore, we first propose to construct a QoS Bayesian Network (QBN), so as to quantify the uncertain dependencies among the VM-related features and then measure the QoS of VMs effectively. Moreover, we show that the dynamical changes of hardware\software setting or the different types of loads will affect the measurement decisions of QBN. Thus, we further resort to the instance-based transfer learning and then propose a novel QBN updating method (QBNtransfer). QBNtransfer re-weights the constantly updated data instances, and then combine the Maximum Likelihood Estimation and the hill-climbing methods to revise the parameters and structures of QBN accordingly. The experiments conducted on the Alibaba published datasets and the benchmark running results on our simulated platform have shown that the QBN can measure the QoS of VMs accurately and QBNtransfer can update the QBN effectively.
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- 2021
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9. Study on Gyroscopic Effect of Floating Offshore Wind Turbines
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Jia-hao Chen, Peng Chen, Zhiqiang Hu, and Ai-guo Pei
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Physics ,Wind power ,Renewable Energy, Sustainability and the Environment ,Rotor (electric) ,Nacelle ,business.industry ,Mechanical Engineering ,media_common.quotation_subject ,Ocean Engineering ,Angular velocity ,Oceanography ,Inertia ,Turbine ,law.invention ,Computer Science::Robotics ,Offshore wind power ,law ,Offshore geotechnical engineering ,business ,Physics::Atmospheric and Oceanic Physics ,Marine engineering ,media_common - Abstract
Compared with bottom-fixed wind turbines, the supporting platform of a floating offshore wind turbine has a larger range of motion, so the gyroscopic effects of the system will be more obvious. In this paper, the mathematical analytic expression of the gyroscopic moment of a floating offshore wind turbine is derived firstly. Then, FAST software is utilized to perform a numerical analysis on the model of a spar-type horizontal axis floating offshore wind turbine, OC3-Hywind, so as to verify the correctness of the theoretical analytical formula and take an investigation on the characteristics of gyroscopic effect. It is found that the gyroscopic moment of the horizontal axis floating offshore wind turbine is essentially caused by the vector change of the rotating rotor, which may be due to the pitch or yaw motion of the floating platform or the yawing motion of the nacelle. When the rotor is rotating, the pitch motion of the platform mainly excites the gyroscopic moment in the rotor’s yaw direction, and the yaw motion of the platform largely excites the rotor’s gyroscopic moment in pitch direction, accordingly. The results show that the gyroscopic moment of the FOWT is roughly linearly related to the rotor’s inertia, the rotor speed, and the angular velocity of the platform motion.
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- 2021
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10. Identification of hub genes in triple-negative breast cancer by integrated bioinformatics analysis
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Xin-Shuai Wang, Xinyang Li, Jia-Hao Fan, Ge Yao, Yukun Wang, Limin Wei, and Ziming Wang
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0301 basic medicine ,False discovery rate ,Cyclin-dependent kinase 1 ,Mechanism (biology) ,business.industry ,Computational biology ,medicine.disease_cause ,Extracellular matrix structural constituent ,Fold change ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,030220 oncology & carcinogenesis ,medicine ,Original Article ,Surgery ,Carcinogenesis ,business ,Gene ,Triple-negative breast cancer - Abstract
BACKGROUND: Triple negative breast cancer (TNBC) is usually aggressive and accompanied by a poor prognosis. The molecular biological mechanism of TNBC pathogenesis is still unclear, and requires more detailed research. The aim of this study was to screen and verify potential biomarkers of TNBC, and provide new clues for the treatment and diagnosis of TNBC. METHODS: In this work, GSE76250 was downloaded from the Gene Expression Omnibus (GEO) database and included 165 TNBC samples and 33 paired normal breast tissues. The R software and its related software package were used for data processing and analysis. Compared with normal tissues, genes with a false discovery rate (FDR)
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- 2021
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11. A hybrid decomposition-boosting model for short-term multi-step solar radiation forecasting with NARX neural network
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Hui Liu and Jia-hao Huang
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Nonlinear autoregressive exogenous model ,Boosting (machine learning) ,Artificial neural network ,Computer science ,business.industry ,020209 energy ,Photovoltaic system ,Metals and Alloys ,General Engineering ,Control engineering ,02 engineering and technology ,021001 nanoscience & nanotechnology ,Solar energy ,Robustness (computer science) ,0202 electrical engineering, electronic engineering, information engineering ,ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS ,AdaBoost ,Autoregressive integrated moving average ,0210 nano-technology ,business - Abstract
Due to global energy depletion, solar energy technology has been widely used in the world. The output power of the solar energy systems is affected by solar radiation. Accurate short-term forecasting of solar radiation can ensure the safety of photovoltaic grids and improve the utilization efficiency of the solar energy systems. In the study, a new decomposition-boosting model using artificial intelligence is proposed to realize the solar radiation multi-step prediction. The proposed model includes four parts: signal decomposition (EWT), neural network (NARX), Adaboost and ARIMA. Three real solar radiation datasets from Changde, China were used to validate the efficiency of the proposed model. To verify the robustness of the multi-step prediction model, this experiment compared nine models and made 1, 3, and 5 steps ahead predictions for the time series. It is verified that the proposed model has the best performance among all models.
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- 2021
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12. Impact of COVID-19 on Cardiovascular Testing in the United States Versus the Rest of the World
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Hirschfeld, Cole B., Shaw, Leslee J., Williams, Michelle C., Lahey, Ryan, Villines, Todd C., Dorbala, Sharmila, Choi, Andrew D., Shah, Nishant R., Bluemke, David A., Berman, Daniel S., Blankstein, Ron, Ferencik, Maros, Narula, Jagat, Winchester, David, Malkovskiy, Eli, Goebel, Benjamin, Randazzo, Michael J., Lopez-Mattei, Juan, Parwani, Purvi, Vitola, Joao V., Cerci, Rodrigo J., Better, Nathan, Raggi, Paolo, Lu, Bin, Sergienko, Vladimir, Sinitsyn, Valentin, Kudo, Takashi, Nørgaard, Bjarne Linde, Maurovich-Horvat, Pál, Cohen, Yosef A., Pascual, Thomas N. B., Pynda, Yaroslav, Dondi, Maurizio, Paez, Diana, Einstein, Andrew J., Cerci, Rodrigo, Hinterleitner, Gerd, Lu, Yao, Morozova, Olga, Xu, Zhuoran, Cohen, Yosef, Randazzo, Michael, Choi, Andrew, Nasery, Mohammad Nawaz, Goda, Artan, Shirka, Ervina, Benlabgaa, Rabie, Bouyoucef, Salah, Medjahedi, Abdelkader, Nailli, Qais, Agolti, Mariela, Aguero, Roberto Nicolas, Alak, Maria del Carmen, Alberguina, Lucia Graciela, Arroñada, Guillermo, Astesiano, Andrea, Astesiano, Alfredo, Norton, Carolina Bas, Benteo, Pablo, Blanco, Juan, Bonelli, Juan Manuel, Bustos, Jose Javier, Cabrejas, Raul, Cachero, Jorge, Campisi, Roxana, Canderoli, Alejandro, Carames, Silvia, Carrascosa, Patrícia, Castro, Ricardo, Cendoya, Oscar, Cognigni, Luciano Martin, Collaud, Carlos, Cortes, Claudia, Courtis, Javier, Cragnolino, Daniel, Daicz, Mariana, De La Vega, Alejandro, De Maria, Silvia Teresa, Del Riego, Horacio, Dettori, Fernando, Deviggiano, Alejandro, Dragonetti, Laura, Embon, Mario, Enriquez, Ruben Emilio, Ensinas, Jorge, Faccio, Fernando, Facello, Adolfo, Garofalo, Diego, Geronazzo, Ricardo, Gonza, Natalia, Gutierrez, Lucas, Guzzo, Miguel Angel, Hasbani, Victor, Huerin, Melina, Jäger, Victor, Lewkowicz, Julio Manuel, Nieves A López De Munaín, Maria, Lotti, Jose Maria, Marquez, Alejandra, Masoli, Osvaldo, Masoli, Osvaldo Horacio, Mastrovito, Edgardo, Mayoraz, Matias, Melado, Graciela Eva, Mele, Anibal, Merani, Maria Fernanda, Meretta, Alejandro Horacio, Molteni, Susana, Montecinos, Marcos, Noguera, Eduardo, Novoa, Carlos, Sueldo, Claudio Pereyra, Ascani, Sebastian Perez, Pollono, Pablo, Pujol, Maria Paula, Radzinschi, Alejandro, Raimondi, Gustavo, Redruello, Marcela, Rodríguez, Marina, Rodríguez, Matías, Romero, Romina Lorena, Acuña, Arturo Romero, Rovaletti, Federico, San Miguel, Lucas, Solari, Lucrecia, Strada, Bruno, Traverso, Sonia, Traverzo, Sonia Simona, Espeche, Maria del Huerto Velazquez, Weihmuller, Juan Sebastian, Wolcan, Juan, Zeffiro, Susana, Sakanyan, Mari, Beuzeville, Scott, Boktor, Raef, Butler, Patrick, Calcott, Jennifer, Carr, Loretta, Chan, Virgil, Chao, Charles, Chong, Woon, Dobson, Mark, Downie, D'Arne, Dwivedi, Girish, Elison, Barry, Engela, Jean, Francis, Roslyn, Gaikwad, Anand, Basavaraj, Ashok Gangasandra, Goodwin, Bruce, Greenough, Robert, Hamilton-Craig, Christian, Hsieh, Victar, Joshi, Subodh, Lederer, Karin, Lee, Kenneth, Lee, Joseph, Magnussen, John, Mai, Nghi, Mander, Gordon, Murton, Fiona, Nandurkar, Dee, Neill, Johanne, O'Rourke, Edward, O'Sullivan, Patricia, Pandos, George, Pathmaraj, Kunthi, Pitman, Alexander, Poulter, Rohan, Premaratne, Manuja, Prior, David, Ridley, Lloyd, Rutherford, Natalie, Salehi, Hamid, Saunders, Connor, Scarlett, Luke, Seneviratne, Sujith, Shetty, Deepa, Shrestha, Ganesh, Shulman, Jonathan, Solanki, Vijay, Stanton, Tony, Stuart, Murch, Stubbs, Michael, Swainson, Ian, Taubman, Kim, Taylor, Andrew, Thomas, Paul, Unger, Steven, Upton, Anthony, Vamadevan, Shankar, Van Gaal, William, Verjans, Johan, Voutnis, Demetrius, Wayne, Victor, Wilson, Peter, Wong, David, Wong, Kirby, Younger, John, Feuchtner, Gudrun, Mirzaei, Siroos, Weiss, Konrad, Maroz-Vadalazhskaya, Natallia, Gheysens, Olivier, Homans, Filip, Moreno-Reyes, Rodrigo, Pasquet, Agnès, Roelants, Veronique, Van De Heyning, Caroline M., Ríos, Raúl Araujo, Soldat-Stankovic, Valentina, Stankovic, Sinisa, Albernaz Siqueira, Maria Helena, Almeida, Augusto, Alves Togni, Paulo Henrique, Andrade, Jose Henrique, Andrade, Luciana, Anselmi, Carlos, Araújo, Roberta, Azevedo, Guilherme, Bezerra, Sabbrina, Biancardi, Rodrigo, Grossman, Gabriel Blacher, Brandão, Simone, Pianta, Diego Bromfman, Carreira, Lara, Castro, Bruno, Chang, Tien, Cunali, Fernando, Cury, Roberto, Dantas, Roberto, de Amorim Fernandes, Fernando, De Lorenzo, Andrea, De Macedo Filho, Robson, Erthal, Fernanda, Fernandes, Fabio, Fernandes, Juliano, De Souza, Thiago Ferreira, Alves, Wilson Furlan, Ghini, Bruno, Goncalves, Luiz, Gottlieb, Ilan, Hadlich, Marcelo, Kameoka, Vinícius, Lima, Ronaldo, Lima, Adna, Lopes, Rafael Willain, Machado e Silva, Ricardo, Magalhães, Tiago, Silva, Fábio Martins, Mastrocola, Luiz Eduardo, Medeiros, Fábio, Meneghetti, José Claudio, Naue, Vania, Naves, Danilo, Nolasco, Roberto, Nomura, Cesar, Oliveira, Joao Bruno, Paixao, Eduardo, De Carvalho, Filipe Penna, Pinto, Ibraim, Possetti, Priscila, Quinta, Mayra, Nogueira Ramos, Rodrigo Rizzo, Rocha, Ricardo, Rodrigues, Alfredo, Rodrigues, Carlos, Romantini, Leila, Sanches, Adelina, Santana, Sara, Sara da Silva, Leonardo, Schvartzman, Paulo, Matushita, Cristina Sebastião, Senra, Tiago, Shiozaki, Afonso, Menezes de Siqueira, Maria Eduarda, Siqueira, Cristiano, Smanio, Paola, Soares, Carlos Eduardo, Junior, José Soares, Bittencourt, Marcio Sommer, Spiro, Bernardo, Mesquita, Cláudio Tinoco, Torreao, Jorge, Torres, Rafael, Uellendahl, Marly, Monte, Guilherme Urpia, Veríssimo, Otávia, Cabeda, Estevan Vieira, Pedras, Felipe Villela, Waltrick, Roberto, Zapparoli, Marcello, Naseer, Hamid, Garcheva-Tsacheva, Marina, Kostadinova, Irena, Theng, Youdaline, Abikhzer, Gad, Barette, Rene, Chow, Benjamin, Dabreo, Dominique, Friedrich, Matthias, Garg, Ria, Hafez, Mohammed Nassoh, Johnson, Chris, Kiess, Marla, Leipsic, Jonathon, Leung, Eugene, Miller, Robert, Oikonomou, Anastasia, Probst, Stephan, Roifman, Idan, Small, Gary, Tandon, Vikas, Trivedi, Adwait, White, James, Zukotynski, Katherine, Canessa, Jose, Muñoz, Gabriel Castro, Concha, Carmen, Hidalgo, Pablo, Lovera, Cesar, Massardo, Teresa, Vargas, Luis Salazar, Abad, Pedro, Arturo, Harold, Ayala, Sandra, Benitez, Luis, Cadena, Alberto, Caicedo, Carlos, Moncayo, Antonio Calderón, Gomez, Sharon, Gutierrez Villamil, Claudia T., Jaimes, Claudia, Londoño, Juan, Londoño Blair, Juan Luis, Pabon, Luz, Pineda, Mauricio, Rojas, Juan Carlos, Ruiz, Diego, Escobar, Manuel Valencia, Vasquez, Andres, Vergel, Damiana, Zuluaga, Alejandro, Gamboa, Isabel Berrocal, Castro, Gabriel, González, Ulises, Baric, Ana, Batinic, Tonci, Franceschi, Maja, Paar, Maja Hrabak, Jukic, Mladen, Medakovic, Petar, Persic, Viktor, Prpic, Marina, Punda, Ante, Batista, Juan Felipe, Gómez Lauchy, Juan Manuel, Gutierrez, Yamile Marcos, Menéndez, Rayner, Peix, Amalia, Rochela, Luis, Panagidis, Christoforos, Petrou, Ioannis, Engelmann, Vaclav, Kaminek, Milan, Kincl, Vladimír, Lang, Otto, Simanek, Milan, Abdulla, Jawdat, Bøttcher, Morten, Christensen, Mette, Gormsen, Lars Christian, Hasbak, Philip, Hess, Søren, Holdgaard, Paw, Johansen, Allan, Kyhl, Kasper, Norgaard, Bjarne Linde, Øvrehus, Kristian Altern, Rønnow Sand, Niels Peter, Steffensen, Rolf, Thomassen, Anders, Zerahn, Bo, Perez, Alfredo, Escorza Velez, Giovanni Alejandro, Velez, Mayra Sanchez, Abdel Aziz, Islam Shawky, Abougabal, Mahasen, Ahmed, Taghreed, Allam, Adel, Asfour, Ahmed, Hassan, Mona, Hassan, Alia, Ibrahim, Ahmed, Kaffas, Sameh, Kandeel, Ahmed, Ali, Mohamed Mandour, Mansy, Ahmad, Maurice, Hany, Nabil, Sherif, Shaaban, Mahmoud, Flores, Ana Camila, Poksi, Anne, Knuuti, Juhani, Kokkonen, Velipekka, Larikka, Martti, Uusitalo, Valtteri, Bailly, Matthieu, Burg, Samuel, Deux, Jean-François, Habouzit, Vincent, Hyafil, Fabien, Lairez, Olivier, Proffit, Franck, Regaieg, Hamza, Sarda-Mantel, Laure, Tacher, Vania, Schneider, Roman P., Ayetey, Harold, Angelidis, George, Archontaki, Aikaterini, Chatziioannou, Sofia, Datseris, Ioannis, Fragkaki, Christina, Georgoulias, Panagiotis, Koukouraki, Sophia, Koutelou, Maria, Kyrozi, Eleni, Repasos, Evangelos, Stavrou, Petros, Valsamaki, Pipitsa, Gonzalez, Carla, Gutierrez, Goleat, Maldonado, Alejandro, Buga, Klara, Garai, Ildiko, Schmidt, Erzsébet, Szilveszter, Balint, Várady, Edit, Banthia, Nilesh, Bhagat, Jinendra Kumar, Bhargava, Rishi, Bhat, Vivek, Bhatia, Mona, Choudhury, Partha, Chowdekar, Vijay Sai, Irodi, Aparna, Jain, Shashank, Joseph, Elizabeth, Kumar, Sukriti, Girijanandan Mahapatra, Prof Dr, Mitra, Deepanjan, Mittal, Bhagwant Rai, Ozair, Ahmad, Patel, Chetan, Patel, Tapan, Patel, Ravi, Patel, Shivani, Saxena, Sudhir, Sengupta, Shantanu, Singh, Santosh, Singh, Bhanupriya, Sood, Ashwani, Verma, Atul, Affandi, Erwin, Alam Edison, Padma Savenadia, Gunawan, Gani, Hapkido, Habusari, Hidayat, Basuki, Huda, Aulia, Mukti, Anggoro Praja, Prawiro, Djoko, Soeriadi, Erwin Affandi, Syawaluddin, Hilman, Albadr, Amjed, Assadi, Majid, Emami, Farshad, Houshmand, Golnaz, Maleki, Majid, Rostami, Maryam Tajik, Zakavi, Seyed Rasoul, Zaid, Eed Abu, Agranovich, Svetlana, Arnson, Yoav, Bar-Shalom, Rachel, Frenkel, Alex, Knafo, Galit, Lugassi, Rachel, Maor Moalem, Israel Shlomo, Mor, Maya, Muskal, Noam, Ranser, Sara, Shalev, Aryeh, Albano, Domenico, Alongi, Pierpaolo, Arnone, Gaspare, Bagatin, Elisa, Baldari, Sergio, Bauckneht, Matteo, Bertelli, Paolo, Bianco, Francesco, Bonfiglioli, Rachele, Boni, Roberto, Bruno, Andrea, Bruno, Isabella, Busnardo, Elena, Califaretti, Elena, Camoni, Luca, Carnevale, Aldo, Casoni, Roberta, Cavallo, Armando Ugo, Cavenaghi, Giorgio, Chierichetti, Franca, Chiocchi, Marcello, Cittanti, Corrado, Colletta, Mauro, Conti, Umberto, Cossu, Alberto, Cuocolo, Alberto, Cuzzocrea, Marco, De Rimini, Maria Luisa, De Vincentis, Giuseppe, Del Giudice, Eleonora, Del Torto, Alberico, Della Tommasina, Veronica, Durmo, Rexhep, Erba, Paola Anna, Evangelista, Laura, Faletti, Riccardo, Faragasso, Evelina, Farsad, Mohsen, Ferro, Paola, Florimonte, Luigia, Frantellizzi, Viviana, Fringuelli, Fabio Massimo, Gatti, Marco, Gaudiano, Angela, Gimelli, Alessia, Giubbini, Raffaele, Giuffrida, Francesca, Ialuna, Salvatore, Laudicella, Riccardo, Leccisotti, Lucia, Leva, Lucia, Liga, Riccardo, Liguori, Carlo, Longo, Giampiero, Maffione, Margherita, Mancini, Maria Elisabetta, Marcassa, Claudio, Milan, Elisa, Nardi, Barbara, Pacella, Sara, Pepe, Giovanna, Pontone, Gianluca, Pulizzi, Sabina, Quartuccio, Natale, Rampin, Lucia, Ricci, Fabrizio, Rossini, Pierluigi, Rubini, Giuseppe, Russo, Vincenzo, Sacchetti, Gian Mauro, Sambuceti, Gianmario, Scarano, Massimo, Sciagrà, Roberto, Sperandio, Massimiliano, Stefanelli, Antonella, Ventroni, Guido, Zoboli, Stefania, Baugh, Dainia, Chambers, Duane, Madu, Ernest, Nunura, Felix, Asano, Hiroshi, Chimura, Chimura Misato, Fujimoto, Shinichiro, Fujisue, Koichiro, Fukunaga, Tomohisa, Fukushima, Yoshimitsu, Fukuyama, Kae, Hashimoto, Jun, Ichikawa, Yasutaka, Iguchi, Nobuo, Imai, Masamichi, Inaki, Anri, Ishimura, Hayato, Isobe, Satoshi, Kadokami, Toshiaki, Kato, Takao, Kumita, Shinichiro, Maruno, Hirotaka, Mataki, Hiroyuki, Miyagawa, Masao, Morimoto, Ryota, Moroi, Masao, Nagamachi, Shigeki, Nakajima, Kenichi, Nakata, Tomoaki, Nakazato, Ryo, Nanasato, Mamoru, Naya, Masanao, Norikane, Takashi, Ohta, Yasutoshi, Okayama, Satoshi, Okizaki, Atsutaka, Otomi, Yoichi, Otsuka, Hideki, Saito, Masaki, Sakata, Sakata Yasushi, Sarai, Masayoshi, Sato, Daisuke, Shiraishi, Shinya, Suwa, Yoshinobu, Takanami, Kentaro, Takehana, Kazuya, Taki, Junichi, Tamaki, Nagara, Taniguchi, Yasuyo, Teragawa, Hiroki, Tomizawa, Nobuo, Tsujita, Kenichi, Umeji, Kyoko, Wakabayashi, Yasushi, Yamada, Shinichiro, Yamazaki, Shinya, Yoneyama, Tatsuya, Rawashdeh, Mohammad, Batyrkhanov, Daultai, Dautov, Tairkhan, Makhdomi, Khalid, Ombati, Kevin, Alkandari, Faridah, Garashi, Masoud, Coie, Tchoyoson Lim, Rajvong, Sonexay, Kalinin, Artem, Kalnina, Marika, Haidar, Mohamad, Komiagiene, Renata, Kviecinskiene, Giedre, Mataciunas, Mindaugas, Vajauskas, Donatas, Picard, Christian, Karim, Noor Khairiah A., Reichmuth, Luise, Samuel, Anthony, Allarakha, Mohammad Aaftaab, Naojee, Ambedhkar Shantaram, Alexanderson-Rosas, Erick, Barragan, Erika, González-Montecinos, Alejandro Becerril, Cabada, Manuel, Rodriguez, Daniel Calderon, Carvajal-Juarez, Isabel, Cortés, Violeta, Cortés, Filiberto, De La Peña, Erasmo, Gama-Moreno, Manlio, González, Luis, Ramírez, Nelsy Gonzalez, Jiménez-Santos, Moisés, Matos, Luis, Monroy, Edgar, Morelos, Martha, Ornelas, Mario, Ortga Ramirez, Jose Alberto, Preciado-Anaya, Andrés, Preciado-Gutiérrez, Óscar Ulises, Barragan, Adriana Puente, Rosales Uvera, Sandra Graciela, Sandoval, Sigelinda, Tomas, Miguel Santaularia, Sierra-Galan, Lilia M., Siu, Silvia, Vallejo, Enrique, Valles, Mario, Faraggi, Marc, Sereegotov, Erdenechimeg, Ilic, Srdja, Ben-Rais, Nozha, Alaoui, Nadia Ismaili, Taleb, Sara, Myo, Khin Pa, Thu, Phyo Si, Ghimire, Ram Kumar, Rajbanshi, Bijoy, Barneveld, Peter, Glaudemans, Andor, Habets, Jesse, Koopmans, Klaas Pieter, Manders, Jeroen, Pool, Stefan, Scholte, Arthur, Scholtens, Asbjørn, Slart, Riemer, Thimister, Paul, Van Asperen, Erik-Jan, Veltman, Niels, Verschure, Derk, Wagenaar, Nils, Edmond, John, Ellis, Chris, Johnson, Kerryanne, Keenan, Ross, Hua, Shaw, Occleshaw, Christopher, Sasse, Alexander, To, Andrew, Van Pelt, Niels, Young, Calum, Cuadra, Teresa, Roque Vanegas, Hector Bladimir, Soli, Idrissa Adamou, Issoufou, Djibrillou Moussa, Ayodele, Tolulope, Madu, Chibuzo, Onimode, Yetunde, Efros-Monsen, Elen, Forsdahl, Signe Helene, Hildre Dimmen, Jenni-Mari, Jørgensen, Arve, Krohn, Isabel, Løvhaugen, Pål, Bråten, Anders Tjellaug, Al Dhuhli, Humoud, Al Kindi, Faiza, Al-Bulushi, Naeema, Jawa, Zabah, Tag, Naima, Afzal, Muhammad Shehzad, Fatima, Shazia, Younis, Muhammad Numair, Riaz, Musab, Saadullah, Mohammad, Herrera, Yariela, Lenturut-Katal, Dora, Vázquez, Manuel Castillo, Ortellado, José, Akhter, Afroza, Cao, Dianbo, Cheung, Stephen, Dai, Xu, Gong, Lianggeng, Han, Dan, Hou, Yang, Li, Caiying, Li, Tao, Li, Dong, Li, Sijin, Liu, Jinkang, Liu, Hui, Ng, Ming Yen, Sun, Kai, Tang, Gongshun, Wang, Jian, Wang, Ximing, Wang, Zhao-Qian, Wang, Yining, Wang, Yifan, Wu, Jiang, Wu, Zhifang, Xia, Liming, Xiao, Jiangxi, Xu, Lei, Yang, Youyou, Yin, Wu, Yu, Jianqun, Yuan, Li, Zhang, Tong, Zhang, Longjiang, Zhang, Yong-Gao, Zhang, Xiaoli, Zhu, Li, Alfaro, Ana, Abrihan, Paz, Barroso, Asela, Cruz, Eric, Gomez, Marie Rhiamar, Magboo, Vincent Peter, Medina, John Michael, Obaldo, Jerry, Pastrana, Davidson, Pawhay, Christian Michael, Quinon, Alvin, Tang, Jeanelle Margareth, Tecson, Bettina, Uson, Kristine Joy, Uy, Mila, Kostkiewicz, Magdalena, Kunikowska, Jolanta, Bettencourt, Nuno, Cantinho, Guilhermina, Ferreira, Antonio, Syed, Ghulam, Arnous, Samer, Atyani, Said, Byrne, Angela, Gleeson, Tadhg, Kerins, David, Meehan, Conor, Murphy, David, Murphy, Mark, Murray, John, O'Brien, Julie, Bang, Ji-In, Bom, Henry, Cho, Sang-Geon, Hong, Chae Moon, Jang, Su Jin, Jeong, Yong Hyu, Kang, Won Jun, Kim, Ji-Young, Lee, Jaetae, Namgung, Chang Kyeong, So, Young, Won, Kyoung Sook, Majstorov, Venjamin, Vavlukis, Marija, Salobir, Barbara Gužic, Štalc, Monika, Benedek, Theodora, Benedek, Imre, Mititelu, Raluca, Stan, Claudiu Adrian, Ansheles, Alexey, Dariy, Olga, Drozdova, Olga, Gagarina, Nina, Gulyaev, Vsevolod Milyevich, Itskovich, Irina, Karalkin, Anatoly, Kokov, Alexander, Migunova, Ekaterina, Pospelov, Viktor, Ryzhkova, Daria, Saifullina, Guzaliya, Sazonova, Svetlana, Shurupova, Irina, Trifonova, Tatjana, Ussov, Wladimir Yurievich, Vakhromeeva, Margarita, Valiullina, Nailya, Zavadovsky, Konstantin, Zhuravlev, Kirill, Alasnag, Mirvat, Okarvi, Subhani, Saranovic, Dragana Sobic, Keng, Felix, Jason See, Jia Hao, Sekar, Ramkumar, Yew, Min Sen, Vondrak, Andrej, Bejai, Shereen, Bennie, George, Bester, Ria, Engelbrecht, Gerrit, Evbuomwan, Osayande, Gongxeka, Harlem, Vuuren, Magritha Jv, Kaplan, Mitchell, Khushica, Purbhoo, Lakhi, Hoosen, Louw, Lizette, Malan, Nico, Milos, Katarina, Modiselle, Moshe, More, Stuart, Naidoo, Mathava, Scholtz, Leonie, Vangu, Mboyo, Aguadé-Bruix, Santiago, Blanco, Isabel, Cabrera, Antonio, Camarero, Alicia, Casáns-Tormo, Irene, Cuellar-Calabria, Hug, Flotats, Albert, Fuentes Cañamero, Maria Eugenia, García, María Elia, Jimenez-Heffernan, Amelia, Leta, Rubén, Diaz, Javier Lopez, Lumbreras, Luis, Marquez-Cabeza, Juan Javier, Martin, Francisco, Martinez de Alegria, Anxo, Medina, Francisco, Canal, Maria Pedrera, Peiro, Virginia, Pubul-Nuñez, Virginia, Rayo Madrid, Juan Ignacio, Rey, Cristina Rodríguez, Perez, Ricardo Ruano, Ruiz, Joaquín, Hernández, Gertrudis Sabatel, Sevilla, Ana, Zeidán, Nahla, Nanayakkara, Damayanthi, Udugama, Chandraguptha, Simonsson, Magnus, Alkadhi, Hatem, Buechel, Ronny Ralf, Burger, Peter, Ceriani, Luca, De Boeck, Bart, Gräni, Christoph, Juillet de Saint Lager Lucas, Alix, Kamani, Christel H., Kawel-Boehm, Nadine, Manka, Robert, Prior, John O., Rominger, Axel, Vallée, Jean-Paul, Khiewvan, Benjapa, Premprabha, Teerapon, Thientunyakit, Tanyaluck, Sellem, Ali, Kir, Kemal Metin, Sayman, Haluk, Sebikali, Mugisha Julius, Muyinda, Zerida, Kmetyuk, Yaroslav, Korol, Pavlo, Mykhalchenko, Olena, Pliatsek, Volodymyr, Satyr, Maryna, Albalooshi, Batool, Ahmed Hassan, Mohamed Ismail, Anderson, Jill, Bedi, Punit, Biggans, Thomas, Bularga, Anda, Bull, Russell, Burgul, Rajesh, Carpenter, John-Paul, Coles, Duncan, Cusack, David, Deshpande, Aparna, Dougan, John, Fairbairn, Timothy, Farrugia, Alexia, Gopalan, Deepa, Gummow, Alistair, Ramkumar, Prasad Guntur, Hamilton, Mark, Harbinson, Mark, Hartley, Thomas, Hudson, Benjamin, Joshi, Nikhil, Kay, Michael, Kelion, Andrew, Khokhar, Azhar, Kitt, Jamie, Lee, Ken, Low, Chen, Mak, Sze Mun, Marousa, Ntouskou, Martin, Jon, Mcalindon, Elisa, Menezes, Leon, Morgan-Hughes, Gareth, Moss, Alastair, Murray, Anthony, Nicol, Edward, Patel, Dilip, Peebles, Charles, Pugliese, Francesca, Luis Rodrigues, Jonathan Carl, Rofe, Christopher, Sabharwal, Nikant, Schofield, Rebecca, Semple, Thomas, Sharma, Naveen, Strouhal, Peter, Subedi, Deepak, Topping, William, Tweed, Katharine, Weir-Mccall, Jonathan, Abbara, Suhny, Abbasi, Taimur, Abbott, Brian, Abohashem, Shady, Abramson, Sandra, Al-Abboud, Tarek, Al-Mallah, Mouaz, Almousalli, Omar, Ananthasubramaniam, Karthikeyan, Kumar, Mohan Ashok, Askew, Jeffrey, Attanasio, Lea, Balmer-Swain, Mallory, Bayer, Richard R., Bernheim, Adam, Bhatti, Sabha, Bieging, Erik, Bloom, Stephen, Blue, Sean, Bluemke, David, Borges, Andressa, Branch, Kelley, Bravo, Paco, Brothers, Jessica, Budoff, Matthew, Bullock-Palmer, Renée, Burandt, Angela, Burke, Floyd W., Bush, Kelvin, Candela, Candace, Capasso, Elizabeth, Cavalcante, Joao, Chang, Donald, Chatterjee, Saurav, Chatzizisis, Yiannis, Cheezum, Michael, Chen, Tiffany, Chen, Jennifer, Chen, Marcus, Clarcq, James, Cordero, Ayreen, Crim, Matthew, Danciu, Sorin, Decter, Bruce, Dhruva, Nimish, Doherty, Neil, Doukky, Rami, Dunbar, Anjori, Duvall, William, Edwards, Rachael, Esquitin, Kerry, Farah, Husam, Fentanes, Emilio, Fisher, Daniel, Fitzpatrick, Daniel, Foster, Cameron, Fuisz, Tony, Gannon, Michael, Gastner, Lori, Gerson, Myron, Ghoshhajra, Brian, Goldberg, Alan, Goldner, Brian, Gonzalez, Jorge, Gore, Rosco, Gracia-López, Sandra, Hage, Fadi, Haider, Agha, Haider, Sofia, Hamirani, Yasmin, Hassen, Karen, Hatfield, Mallory, Hawkins, Carolyn, Hawthorne, Katie, Heath, Nicholas, Hendel, Robert, Hernandez, Phillip, Hill, Gregory, Horgan, Stephen, Huffman, Jeff, Hurwitz, Lynne, Iskandrian, Ami, Janardhanan, Rajesh, Jellis, Christine, Jerome, Scott, Kalra, Dinesh, Kaviratne, Summanther, Kay, Fernando, Kelly, Faith, Khalique, Omar, Kinkhabwala, Mona, Iii, George Kinzfogl, Kircher, Jacqueline, Kirkbride, Rachael, Kontos, Michael, Kottam, Anupama, Krepp, Joseph, Layer, Jay, Lee, Steven H., Leppo, Jeffrey, Lesser, John, Leung, Steve, Lewin, Howard, Litmanovich, Diana, Liu, Yiyan, Magurany, Kathleen, Markowitz, Jeremy, Marn, Amanda, Matis, Stephen E., Mckenna, Michael, Mcrae, Tony, Mendoza, Fernando, Merhige, Michael, Min, David, Moffitt, Chanan, Moncher, Karen, Moore, Warren, Morayati, Shamil, Morris, Michael, Mossa-Basha, Mahmud, Mrsic, Zorana, Murthy, Venkatesh, Nagpal, Prashant, Napier, Kyle, Nelson, Katarina, Nijjar, Prabhjot, Osman, Medhat, Passen, Edward, Patel, Amit, Patil, Pravin, Paul, Ryan, Phillips, Lawrence, Polsani, Venkateshwar, Poludasu, Rajaram, Pomerantz, Brian, Porter, Thomas, Prentice, Ryan, Pursnani, Amit, Rabbat, Mark, Ramamurti, Suresh, Rich, Florence, Luna, Hiram Rivera, Robinson, Austin, Robles, Kim, Rodríguez, Cesar, Rorie, Mark, Rumberger, John, Russell, Raymond, Sabra, Philip, Sadler, Diego, Schemmer, Mary, Schoepf, U. Joseph, Shah, Samir, Shah, Nishant, Shanbhag, Sujata, Sharma, Gaurav, Shayani, Steven, Shirani, Jamshid, Shivaram, Pushpa, Sigman, Steven, Simon, Mitch, Slim, Ahmad, Smith, David, Smith, Alexandra, Soman, Prem, Sood, Aditya, Srichai-Parsia, Monvadi Barbara, Streeter, James, T, Albert, Tawakol, Ahmed, Thomas, Dustin, Thompson, Randall, Torbet, Tara, Trinidad, Desiree, Ullery, Shawn, Unzek, Samuel, Uretsky, Seth, Vallurupalli, Srikanth, Verma, Vikas, Waller, Alfonso, Wang, Ellen, Ward, Parker, Weissman, Gaby, Wesbey, George, White, Kelly, Wolinsky, David, Yost, Sandra, Zgaljardic, Michael, Alonso, Omar, Beretta, Mario, Ferrando, Rodolfo, Kapitan, Miguel, Mut, Fernando, Djuraev, Omoa, Rozikhodjaeva, Gulnora, Le Ngoc, Ha, Mai, Son Hong, Nguyen, Xuan Canh, Hirschfeld, Cole B., Shaw, Leslee J., Williams, Michelle C., Lahey, Ryan, Villines, Todd C., Dorbala, Sharmila, Choi, Andrew D., Shah, Nishant R., Bluemke, David A., Berman, Daniel S., Blankstein, Ron, Ferencik, Maro, Narula, Jagat, Winchester, David, Malkovskiy, Eli, Goebel, Benjamin, Randazzo, Michael J., Lopez-Mattei, Juan, Parwani, Purvi, Vitola, Joao V., Cerci, Rodrigo J., Better, Nathan, Raggi, Paolo, Lu, Bin, Sergienko, Vladimir, Sinitsyn, Valentin, Kudo, Takashi, Nørgaard, Bjarne Linde, Maurovich-Horvat, Pál, Cohen, Yosef A., Pascual, Thomas N. B., Pynda, Yaroslav, Dondi, Maurizio, Paez, Diana, Einstein, Andrew J., Cerci, Rodrigo, Hinterleitner, Gerd, Lu, Yao, Morozova, Olga, Xu, Zhuoran, Cohen, Yosef, Randazzo, Michael, Choi, Andrew, Nasery, Mohammad Nawaz, Goda, Artan, Shirka, Ervina, Benlabgaa, Rabie, Bouyoucef, Salah, Medjahedi, Abdelkader, Nailli, Qai, Agolti, Mariela, Aguero, Roberto Nicola, Alak, Maria del Carmen, Alberguina, Lucia Graciela, Arroñada, Guillermo, Astesiano, Andrea, Astesiano, Alfredo, Norton, Carolina Ba, Benteo, Pablo, Blanco, Juan, Bonelli, Juan Manuel, Bustos, Jose Javier, Cabrejas, Raul, Cachero, Jorge, Campisi, Roxana, Canderoli, Alejandro, Carames, Silvia, Carrascosa, Patrícia, Castro, Ricardo, Cendoya, Oscar, Cognigni, Luciano Martin, Collaud, Carlo, Cortes, Claudia, Courtis, Javier, Cragnolino, Daniel, Daicz, Mariana, De La Vega, Alejandro, De Maria, Silvia Teresa, Del Riego, Horacio, Dettori, Fernando, Deviggiano, Alejandro, Dragonetti, Laura, Embon, Mario, Enriquez, Ruben Emilio, Ensinas, Jorge, Faccio, Fernando, Facello, Adolfo, Garofalo, Diego, Geronazzo, Ricardo, Gonza, Natalia, Gutierrez, Luca, Guzzo, Miguel Angel, Hasbani, Victor, Huerin, Melina, Jäger, Victor, Lewkowicz, Julio Manuel, Nieves A López De Munaín, Maria, Lotti, Jose Maria, Marquez, Alejandra, Masoli, Osvaldo, Masoli, Osvaldo Horacio, Mastrovito, Edgardo, Mayoraz, Matia, Melado, Graciela Eva, Mele, Anibal, Merani, Maria Fernanda, Meretta, Alejandro Horacio, Molteni, Susana, Montecinos, Marco, Noguera, Eduardo, Novoa, Carlo, Sueldo, Claudio Pereyra, Ascani, Sebastian Perez, Pollono, Pablo, Pujol, Maria Paula, Radzinschi, Alejandro, Raimondi, Gustavo, Redruello, Marcela, Rodríguez, Marina, Rodríguez, Matía, Romero, Romina Lorena, Acuña, Arturo Romero, Rovaletti, Federico, San Miguel, Luca, Solari, Lucrecia, Strada, Bruno, Traverso, Sonia, Traverzo, Sonia Simona, Espeche, Maria del Huerto Velazquez, Weihmuller, Juan Sebastian, Wolcan, Juan, Zeffiro, Susana, Sakanyan, Mari, Beuzeville, Scott, Boktor, Raef, Butler, Patrick, Calcott, Jennifer, Carr, Loretta, Chan, Virgil, Chao, Charle, Chong, Woon, Dobson, Mark, Downie, D'Arne, Dwivedi, Girish, Elison, Barry, Engela, Jean, Francis, Roslyn, Gaikwad, Anand, Basavaraj, Ashok Gangasandra, Goodwin, Bruce, Greenough, Robert, Hamilton-Craig, Christian, Hsieh, Victar, Joshi, Subodh, Lederer, Karin, Lee, Kenneth, Lee, Joseph, Magnussen, John, Mai, Nghi, Mander, Gordon, Murton, Fiona, Nandurkar, Dee, Neill, Johanne, O'Rourke, Edward, O'Sullivan, Patricia, Pandos, George, Pathmaraj, Kunthi, Pitman, Alexander, Poulter, Rohan, Premaratne, Manuja, Prior, David, Ridley, Lloyd, Rutherford, Natalie, Salehi, Hamid, Saunders, Connor, Scarlett, Luke, Seneviratne, Sujith, Shetty, Deepa, Shrestha, Ganesh, Shulman, Jonathan, Solanki, Vijay, Stanton, Tony, Stuart, Murch, Stubbs, Michael, Swainson, Ian, Taubman, Kim, Taylor, Andrew, Thomas, Paul, Unger, Steven, Upton, Anthony, Vamadevan, Shankar, Van Gaal, William, Verjans, Johan, Voutnis, Demetriu, Wayne, Victor, 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Rafael Willain, Machado e Silva, Ricardo, Magalhães, Tiago, Silva, Fábio Martin, Mastrocola, Luiz Eduardo, Medeiros, Fábio, Meneghetti, José Claudio, Naue, Vania, Naves, Danilo, Nolasco, Roberto, Nomura, Cesar, Oliveira, Joao Bruno, Paixao, Eduardo, De Carvalho, Filipe Penna, Pinto, Ibraim, Possetti, Priscila, Quinta, Mayra, Nogueira Ramos, Rodrigo Rizzo, Rocha, Ricardo, Rodrigues, Alfredo, Rodrigues, Carlo, Romantini, Leila, Sanches, Adelina, Santana, Sara, Sara da Silva, Leonardo, Schvartzman, Paulo, Matushita, Cristina Sebastião, Senra, Tiago, Shiozaki, Afonso, Menezes de Siqueira, Maria Eduarda, Siqueira, Cristiano, Smanio, Paola, Soares, Carlos Eduardo, Junior, José Soare, Bittencourt, Marcio Sommer, Spiro, Bernardo, Mesquita, Cláudio Tinoco, Torreao, Jorge, Torres, Rafael, Uellendahl, Marly, Monte, Guilherme Urpia, Veríssimo, Otávia, Cabeda, Estevan Vieira, Pedras, Felipe Villela, Waltrick, Roberto, Zapparoli, Marcello, Naseer, Hamid, Garcheva-Tsacheva, Marina, Kostadinova, Irena, Theng, Youdaline, Abikhzer, Gad, Barette, Rene, Chow, Benjamin, Dabreo, Dominique, Friedrich, Matthia, Garg, Ria, Hafez, Mohammed Nassoh, Johnson, Chri, Kiess, Marla, Leipsic, Jonathon, Leung, Eugene, Miller, Robert, Oikonomou, Anastasia, Probst, Stephan, Roifman, Idan, Small, Gary, Tandon, Vika, Trivedi, Adwait, White, Jame, Zukotynski, Katherine, Canessa, Jose, Muñoz, Gabriel Castro, Concha, Carmen, Hidalgo, Pablo, Lovera, Cesar, Massardo, Teresa, Vargas, Luis Salazar, Abad, Pedro, Arturo, Harold, Ayala, Sandra, Benitez, Lui, Cadena, Alberto, Caicedo, Carlo, Moncayo, Antonio Calderón, Gomez, Sharon, Gutierrez Villamil, Claudia T., Jaimes, Claudia, Londoño, Juan, Londoño Blair, Juan Lui, Pabon, Luz, Pineda, Mauricio, Rojas, Juan Carlo, Ruiz, Diego, Escobar, Manuel Valencia, Vasquez, Andre, Vergel, Damiana, Zuluaga, Alejandro, Gamboa, Isabel Berrocal, Castro, Gabriel, González, Ulise, Baric, Ana, Batinic, Tonci, Franceschi, Maja, Paar, Maja Hrabak, Jukic, Mladen, Medakovic, Petar, Persic, Viktor, Prpic, Marina, Punda, Ante, Batista, Juan Felipe, Gómez Lauchy, Juan Manuel, Gutierrez, Yamile Marco, Menéndez, Rayner, Peix, Amalia, Rochela, Lui, Panagidis, Christoforo, Petrou, Ioanni, Engelmann, Vaclav, Kaminek, Milan, Kincl, Vladimír, Lang, Otto, Simanek, Milan, Abdulla, Jawdat, Bøttcher, Morten, Christensen, Mette, Gormsen, Lars Christian, Hasbak, Philip, Hess, Søren, Holdgaard, Paw, Johansen, Allan, Kyhl, Kasper, Norgaard, Bjarne Linde, Øvrehus, Kristian Altern, Rønnow Sand, Niels Peter, Steffensen, Rolf, Thomassen, Ander, Zerahn, Bo, Perez, Alfredo, Escorza Velez, Giovanni Alejandro, Velez, Mayra Sanchez, Abdel Aziz, Islam Shawky, Abougabal, Mahasen, Ahmed, Taghreed, Allam, Adel, Asfour, Ahmed, Hassan, Mona, Hassan, Alia, Ibrahim, Ahmed, Kaffas, Sameh, Kandeel, Ahmed, Ali, Mohamed Mandour, Mansy, Ahmad, Maurice, Hany, Nabil, Sherif, Shaaban, Mahmoud, Flores, Ana Camila, Poksi, Anne, Knuuti, Juhani, Kokkonen, Velipekka, Larikka, Martti, Uusitalo, Valtteri, Bailly, Matthieu, Burg, Samuel, Deux, Jean-Françoi, Habouzit, Vincent, Hyafil, Fabien, Lairez, Olivier, Proffit, Franck, Regaieg, Hamza, Sarda-Mantel, Laure, Tacher, Vania, Schneider, Roman P., Ayetey, Harold, Angelidis, George, Archontaki, Aikaterini, Chatziioannou, Sofia, Datseris, Ioanni, Fragkaki, Christina, Georgoulias, Panagioti, Koukouraki, Sophia, Koutelou, Maria, Kyrozi, Eleni, Repasos, Evangelo, Stavrou, Petro, Valsamaki, Pipitsa, Gonzalez, Carla, Gutierrez, Goleat, Maldonado, Alejandro, Buga, Klara, Garai, Ildiko, Schmidt, Erzsébet, Szilveszter, Balint, Várady, Edit, Banthia, Nilesh, Bhagat, Jinendra Kumar, Bhargava, Rishi, Bhat, Vivek, Bhatia, Mona, Choudhury, Partha, Chowdekar, Vijay Sai, Irodi, Aparna, Jain, Shashank, Joseph, Elizabeth, Kumar, Sukriti, Girijanandan Mahapatra, Prof Dr, Mitra, Deepanjan, Mittal, Bhagwant Rai, Ozair, Ahmad, Patel, Chetan, Patel, Tapan, Patel, Ravi, Patel, Shivani, Saxena, Sudhir, Sengupta, Shantanu, Singh, Santosh, Singh, Bhanupriya, Sood, Ashwani, Verma, Atul, Affandi, Erwin, Alam, Edison, Padma, Savenadia, Gunawan, Gani, Hapkido, Habusari, Hidayat, Basuki, Huda, Aulia, Mukti, Anggoro Praja, Prawiro, Djoko, Soeriadi, Erwin Affandi, Syawaluddin, Hilman, Albadr, Amjed, Assadi, Majid, Emami, Farshad, Houshmand, Golnaz, Maleki, Majid, Rostami, Maryam Tajik, Zakavi, Seyed Rasoul, Zaid, Eed Abu, Agranovich, Svetlana, Arnson, Yoav, Bar-Shalom, Rachel, Frenkel, Alex, Knafo, Galit, Lugassi, Rachel, Maor Moalem, Israel Shlomo, Mor, Maya, Muskal, Noam, Ranser, Sara, Shalev, Aryeh, Albano, Domenico, Alongi, Pierpaolo, Arnone, Gaspare, Bagatin, Elisa, Baldari, Sergio, Bauckneht, Matteo, Bertelli, Paolo, Bianco, Francesco, Bonfiglioli, Rachele, Boni, Roberto, Bruno, Andrea, Bruno, Isabella, Busnardo, Elena, Califaretti, Elena, Camoni, Luca, Carnevale, Aldo, Casoni, Roberta, Cavallo, Armando Ugo, Cavenaghi, Giorgio, Chierichetti, Franca, Chiocchi, Marcello, Cittanti, Corrado, Colletta, Mauro, Conti, Umberto, Cossu, Alberto, Cuocolo, Alberto, Cuzzocrea, Marco, De Rimini, Maria Luisa, De Vincentis, Giuseppe, Del Giudice, Eleonora, Del Torto, Alberico, Della Tommasina, Veronica, Durmo, Rexhep, Erba, Paola Anna, Evangelista, Laura, Faletti, Riccardo, Faragasso, Evelina, Farsad, Mohsen, Ferro, Paola, Florimonte, Luigia, Frantellizzi, Viviana, Fringuelli, Fabio Massimo, Gatti, Marco, Gaudiano, Angela, Gimelli, Alessia, Giubbini, Raffaele, Giuffrida, Francesca, Ialuna, Salvatore, Laudicella, Riccardo, Leccisotti, Lucia, Leva, Lucia, Liga, Riccardo, Liguori, Carlo, Longo, Giampiero, Maffione, Margherita, Mancini, Maria Elisabetta, Marcassa, Claudio, Milan, Elisa, Nardi, Barbara, Pacella, Sara, Pepe, Giovanna, Pontone, Gianluca, Pulizzi, Sabina, Quartuccio, Natale, Rampin, Lucia, Ricci, Fabrizio, Rossini, Pierluigi, Rubini, Giuseppe, Russo, Vincenzo, Sacchetti, Gian Mauro, Sambuceti, Gianmario, Scarano, Massimo, Sciagrà, Roberto, Sperandio, Massimiliano, Stefanelli, Antonella, Ventroni, Guido, Zoboli, Stefania, Baugh, Dainia, Chambers, Duane, Madu, Ernest, Nunura, Felix, Asano, Hiroshi, Chimura, Chimura Misato, Fujimoto, Shinichiro, Fujisue, Koichiro, Fukunaga, Tomohisa, Fukushima, Yoshimitsu, Fukuyama, Kae, Hashimoto, Jun, Ichikawa, Yasutaka, Iguchi, Nobuo, Imai, Masamichi, Inaki, Anri, Ishimura, Hayato, Isobe, Satoshi, Kadokami, Toshiaki, Kato, Takao, Kumita, Shinichiro, Maruno, Hirotaka, Mataki, Hiroyuki, Miyagawa, Masao, Morimoto, Ryota, Moroi, Masao, Nagamachi, Shigeki, Nakajima, Kenichi, Nakata, Tomoaki, Nakazato, Ryo, Nanasato, Mamoru, Naya, Masanao, Norikane, Takashi, Ohta, Yasutoshi, Okayama, Satoshi, Okizaki, Atsutaka, Otomi, Yoichi, Otsuka, Hideki, Saito, Masaki, Sakata, Sakata Yasushi, Sarai, Masayoshi, Sato, Daisuke, Shiraishi, Shinya, Suwa, Yoshinobu, Takanami, Kentaro, Takehana, Kazuya, Taki, Junichi, Tamaki, Nagara, Taniguchi, Yasuyo, Teragawa, Hiroki, Tomizawa, Nobuo, Tsujita, Kenichi, Umeji, Kyoko, Wakabayashi, Yasushi, Yamada, Shinichiro, Yamazaki, Shinya, Yoneyama, Tatsuya, Rawashdeh, Mohammad, Batyrkhanov, Daultai, Dautov, Tairkhan, Makhdomi, Khalid, Ombati, Kevin, Alkandari, Faridah, Garashi, Masoud, Coie, Tchoyoson Lim, Rajvong, Sonexay, Kalinin, Artem, Kalnina, Marika, Haidar, Mohamad, Komiagiene, Renata, Kviecinskiene, Giedre, Mataciunas, Mindauga, Vajauskas, Donata, Picard, Christian, Karim, Noor Khairiah A., Reichmuth, Luise, Samuel, Anthony, Allarakha, Mohammad Aaftaab, Naojee, Ambedhkar Shantaram, Alexanderson-Rosas, Erick, Barragan, Erika, González-Montecinos, Alejandro Becerril, Cabada, Manuel, Rodriguez, Daniel Calderon, Carvajal-Juarez, Isabel, Cortés, Violeta, Cortés, Filiberto, De La Peña, Erasmo, Gama-Moreno, Manlio, González, Lui, Ramírez, Nelsy Gonzalez, Jiménez-Santos, Moisé, Matos, Lui, Monroy, Edgar, Morelos, Martha, Ornelas, Mario, Ortga Ramirez, Jose Alberto, Preciado-Anaya, André, Preciado-Gutiérrez, Óscar Ulise, Barragan, Adriana Puente, Rosales Uvera, Sandra Graciela, Sandoval, Sigelinda, Tomas, Miguel Santaularia, Sierra-Galan, Lilia M., Siu, Silvia, Vallejo, Enrique, Valles, Mario, Faraggi, Marc, Sereegotov, Erdenechimeg, Ilic, Srdja, Ben-Rais, Nozha, Alaoui, Nadia Ismaili, Taleb, Sara, Myo, Khin Pa, Thu, Phyo Si, Ghimire, Ram Kumar, Rajbanshi, Bijoy, Barneveld, Peter, Glaudemans, Andor, Habets, Jesse, Koopmans, Klaas Pieter, Manders, Jeroen, Pool, Stefan, Scholte, Arthur, Scholtens, Asbjørn, Slart, Riemer, Thimister, Paul, Van Asperen, Erik-Jan, Veltman, Niel, Verschure, Derk, Wagenaar, Nil, Edmond, John, Ellis, Chri, Johnson, Kerryanne, Keenan, Ro, Hua, Shaw, Occleshaw, Christopher, Sasse, Alexander, To, Andrew, Van Pelt, Niel, Young, Calum, Cuadra, Teresa, Roque Vanegas, Hector Bladimir, Soli, Idrissa Adamou, Issoufou, Djibrillou Moussa, Ayodele, Tolulope, Madu, Chibuzo, Onimode, Yetunde, Efros-Monsen, Elen, Forsdahl, Signe Helene, Hildre Dimmen, Jenni-Mari, Jørgensen, Arve, Krohn, Isabel, Løvhaugen, Pål, Bråten, Anders Tjellaug, Al Dhuhli, Humoud, Al Kindi, Faiza, Al-Bulushi, Naeema, Jawa, Zabah, Tag, Naima, Afzal, Muhammad Shehzad, Fatima, Shazia, Younis, Muhammad Numair, Riaz, Musab, Saadullah, Mohammad, Herrera, Yariela, Lenturut-Katal, Dora, Vázquez, Manuel Castillo, Ortellado, José, Akhter, Afroza, Cao, Dianbo, Cheung, Stephen, Dai, Xu, Gong, Lianggeng, Han, Dan, Hou, Yang, Li, Caiying, Li, Tao, Li, Dong, Li, Sijin, Liu, Jinkang, Liu, Hui, Ng, Ming Yen, Sun, Kai, Tang, Gongshun, Wang, Jian, Wang, Ximing, Wang, Zhao-Qian, Wang, Yining, Wang, Yifan, Wu, Jiang, Wu, Zhifang, Xia, Liming, Xiao, Jiangxi, Xu, Lei, Yang, Youyou, Yin, Wu, Yu, Jianqun, Yuan, Li, Zhang, Tong, Zhang, Longjiang, Zhang, Yong-Gao, Zhang, Xiaoli, Zhu, Li, Alfaro, Ana, Abrihan, Paz, Barroso, Asela, Cruz, Eric, Gomez, Marie Rhiamar, Magboo, Vincent Peter, Medina, John Michael, Obaldo, Jerry, Pastrana, Davidson, Pawhay, Christian Michael, Quinon, Alvin, Tang, Jeanelle Margareth, Tecson, Bettina, Uson, Kristine Joy, Uy, Mila, Kostkiewicz, Magdalena, Kunikowska, Jolanta, Bettencourt, Nuno, Cantinho, Guilhermina, Ferreira, Antonio, Syed, Ghulam, Arnous, Samer, Atyani, Said, Byrne, Angela, Gleeson, Tadhg, Kerins, David, Meehan, Conor, Murphy, David, Murphy, Mark, Murray, John, O'Brien, Julie, Bang, Ji-In, Bom, Henry, Cho, Sang-Geon, Hong, Chae Moon, Jang, Su Jin, Jeong, Yong Hyu, Kang, Won Jun, Kim, Ji-Young, Lee, Jaetae, Namgung, Chang Kyeong, So, Young, Won, Kyoung Sook, Majstorov, Venjamin, Vavlukis, Marija, Salobir, Barbara Gužic, Štalc, Monika, Benedek, Theodora, Benedek, Imre, Mititelu, Raluca, Stan, Claudiu Adrian, Ansheles, Alexey, Dariy, Olga, Drozdova, Olga, Gagarina, Nina, Gulyaev, Vsevolod Milyevich, Itskovich, Irina, Karalkin, Anatoly, Kokov, Alexander, Migunova, Ekaterina, Pospelov, Viktor, Ryzhkova, Daria, Saifullina, Guzaliya, Sazonova, Svetlana, Shurupova, Irina, Trifonova, Tatjana, Ussov, Wladimir Yurievich, Vakhromeeva, Margarita, Valiullina, Nailya, Zavadovsky, Konstantin, Zhuravlev, Kirill, Alasnag, Mirvat, Okarvi, Subhani, Saranovic, Dragana Sobic, Keng, Felix, Jason See, Jia Hao, Sekar, Ramkumar, Yew, Min Sen, Vondrak, Andrej, Bejai, Shereen, Bennie, George, Bester, Ria, Engelbrecht, Gerrit, Evbuomwan, Osayande, Gongxeka, Harlem, Vuuren, Magritha Jv, Kaplan, Mitchell, Khushica, Purbhoo, Lakhi, Hoosen, Louw, Lizette, Malan, Nico, Milos, Katarina, Modiselle, Moshe, More, Stuart, Naidoo, Mathava, Scholtz, Leonie, Vangu, Mboyo, Aguadé-Bruix, Santiago, Blanco, Isabel, Cabrera, Antonio, Camarero, Alicia, Casáns-Tormo, Irene, Cuellar-Calabria, Hug, Flotats, Albert, Fuentes Cañamero, Maria Eugenia, García, María Elia, Jimenez-Heffernan, Amelia, Leta, Rubén, Diaz, Javier Lopez, Lumbreras, Lui, Marquez-Cabeza, Juan Javier, Martin, Francisco, Martinez de Alegria, Anxo, Medina, Francisco, Canal, Maria Pedrera, Peiro, Virginia, Pubul-Nuñez, Virginia, Rayo Madrid, Juan Ignacio, Rey, Cristina Rodríguez, Perez, Ricardo Ruano, Ruiz, Joaquín, Hernández, Gertrudis Sabatel, Sevilla, Ana, Zeidán, Nahla, Nanayakkara, Damayanthi, Udugama, Chandraguptha, Simonsson, Magnu, Alkadhi, Hatem, Buechel, Ronny Ralf, Burger, Peter, Ceriani, Luca, De Boeck, Bart, Gräni, Christoph, Juillet de Saint Lager Lucas, Alix, Kamani, Christel H., Kawel-Boehm, Nadine, Manka, Robert, Prior, John O., Rominger, Axel, Vallée, Jean-Paul, Khiewvan, Benjapa, Premprabha, Teerapon, Thientunyakit, Tanyaluck, Sellem, Ali, Kir, Kemal Metin, Sayman, Haluk, Sebikali, Mugisha Juliu, Muyinda, Zerida, Kmetyuk, Yaroslav, Korol, Pavlo, Mykhalchenko, Olena, Pliatsek, Volodymyr, Satyr, Maryna, Albalooshi, Batool, Ahmed Hassan, Mohamed Ismail, Anderson, Jill, Bedi, Punit, Biggans, Thoma, Bularga, Anda, Bull, Russell, Burgul, Rajesh, Carpenter, John-Paul, Coles, Duncan, Cusack, David, Deshpande, Aparna, Dougan, John, Fairbairn, Timothy, Farrugia, Alexia, Gopalan, Deepa, Gummow, Alistair, Ramkumar, Prasad Guntur, Hamilton, Mark, Harbinson, Mark, Hartley, Thoma, Hudson, Benjamin, Joshi, Nikhil, Kay, Michael, Kelion, Andrew, Khokhar, Azhar, Kitt, Jamie, Lee, Ken, Low, Chen, Mak, Sze Mun, Marousa, Ntouskou, Martin, Jon, Mcalindon, Elisa, Menezes, Leon, Morgan-Hughes, Gareth, Moss, Alastair, Murray, Anthony, Nicol, Edward, Patel, Dilip, Peebles, Charle, Pugliese, Francesca, Luis Rodrigues, Jonathan Carl, Rofe, Christopher, Sabharwal, Nikant, Schofield, Rebecca, Semple, Thoma, Sharma, Naveen, Strouhal, Peter, Subedi, Deepak, Topping, William, Tweed, Katharine, Weir-Mccall, Jonathan, Abbara, Suhny, Abbasi, Taimur, Abbott, Brian, Abohashem, Shady, Abramson, Sandra, Al-Abboud, Tarek, Al-Mallah, Mouaz, Almousalli, Omar, Ananthasubramaniam, Karthikeyan, Kumar, Mohan Ashok, Askew, Jeffrey, Attanasio, Lea, Balmer-Swain, Mallory, Bayer, Richard R., Bernheim, Adam, Bhatti, Sabha, Bieging, Erik, Bloom, Stephen, Blue, Sean, Bluemke, David, Borges, Andressa, Branch, Kelley, Bravo, Paco, Brothers, Jessica, Budoff, Matthew, Bullock-Palmer, Renée, Burandt, Angela, Burke, Floyd W., Bush, Kelvin, Candela, Candace, Capasso, Elizabeth, Cavalcante, Joao, Chang, Donald, Chatterjee, Saurav, Chatzizisis, Yianni, Cheezum, Michael, Chen, Tiffany, Chen, Jennifer, Chen, Marcu, Clarcq, Jame, Cordero, Ayreen, Crim, Matthew, Danciu, Sorin, Decter, Bruce, Dhruva, Nimish, Doherty, Neil, Doukky, Rami, Dunbar, Anjori, Duvall, William, Edwards, Rachael, Esquitin, Kerry, Farah, Husam, Fentanes, Emilio, Fisher, Daniel, Fitzpatrick, Daniel, Foster, Cameron, Fuisz, Tony, Gannon, Michael, Gastner, Lori, Gerson, Myron, Ghoshhajra, Brian, Goldberg, Alan, Goldner, Brian, Gonzalez, Jorge, Gore, Rosco, Gracia-López, Sandra, Hage, Fadi, Haider, Agha, Haider, Sofia, Hamirani, Yasmin, Hassen, Karen, Hatfield, Mallory, Hawkins, Carolyn, Hawthorne, Katie, Heath, Nichola, Hendel, Robert, Hernandez, Phillip, Hill, Gregory, Horgan, Stephen, Huffman, Jeff, Hurwitz, Lynne, Iskandrian, Ami, Janardhanan, Rajesh, Jellis, Christine, Jerome, Scott, Kalra, Dinesh, Kaviratne, Summanther, Kay, Fernando, Kelly, Faith, Khalique, Omar, Kinkhabwala, Mona, Iii, George Kinzfogl, Kircher, Jacqueline, Kirkbride, Rachael, Kontos, Michael, Kottam, Anupama, Krepp, Joseph, Layer, Jay, Lee, Steven H., Leppo, Jeffrey, Lesser, John, Leung, Steve, Lewin, Howard, Litmanovich, Diana, Liu, Yiyan, Magurany, Kathleen, Markowitz, Jeremy, Marn, Amanda, Matis, Stephen E., Mckenna, Michael, Mcrae, Tony, Mendoza, Fernando, Merhige, Michael, Min, David, Moffitt, Chanan, Moncher, Karen, Moore, Warren, Morayati, Shamil, Morris, Michael, Mossa-Basha, Mahmud, Mrsic, Zorana, Murthy, Venkatesh, Nagpal, Prashant, Napier, Kyle, Nelson, Katarina, Nijjar, Prabhjot, Osman, Medhat, Passen, Edward, Patel, Amit, Patil, Pravin, Paul, Ryan, Phillips, Lawrence, Polsani, Venkateshwar, Poludasu, Rajaram, Pomerantz, Brian, Porter, Thoma, Prentice, Ryan, Pursnani, Amit, Rabbat, Mark, Ramamurti, Suresh, Rich, Florence, Luna, Hiram Rivera, Robinson, Austin, Robles, Kim, Rodríguez, Cesar, Rorie, Mark, Rumberger, John, Russell, Raymond, Sabra, Philip, Sadler, Diego, Schemmer, Mary, Schoepf, U. Joseph, Shah, Samir, Shah, Nishant, Shanbhag, Sujata, Sharma, Gaurav, Shayani, Steven, Shirani, Jamshid, Shivaram, Pushpa, Sigman, Steven, Simon, Mitch, Slim, Ahmad, Smith, David, Smith, Alexandra, Soman, Prem, Sood, Aditya, Srichai-Parsia, Monvadi Barbara, Streeter, Jame, T, Albert, Tawakol, Ahmed, Thomas, Dustin, Thompson, Randall, Torbet, Tara, Trinidad, Desiree, Ullery, Shawn, Unzek, Samuel, Uretsky, Seth, Vallurupalli, Srikanth, Verma, Vika, Waller, Alfonso, Wang, Ellen, Ward, Parker, Weissman, Gaby, Wesbey, George, White, Kelly, Wolinsky, David, Yost, Sandra, Zgaljardic, Michael, Alonso, Omar, Beretta, Mario, Ferrando, Rodolfo, Kapitan, Miguel, Mut, Fernando, Djuraev, Omoa, Rozikhodjaeva, Gulnora, Le Ngoc, Ha, Mai, Son Hong, Nguyen, Xuan Canh, Hirschfeld, C, Shaw, L, Williams, M, Lahey, R, Villines, T, Dorbala, S, Choi, A, Shah, N, Bluemke, D, Berman, D, Blankstein, R, Ferencik, M, Narula, J, Winchester, D, Malkovskiy, E, Goebel, B, Randazzo, M, Lopez-Mattei, J, Parwani, P, Vitola, J, Cerci, R, Better, N, Raggi, P, Lu, B, Sergienko, V, Sinitsyn, V, Kudo, T, Nørgaard, B, Maurovich-Horvat, P, Cohen, Y, Pascual, T, Pynda, Y, Dondi, M, Paez, D, Einstein, A, and Erba, P
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Aging ,Coronavirus disease 2019 (COVID-19) ,Clinical Sciences ,coronavirus ,Disease ,030204 cardiovascular system & hematology ,Cardiorespiratory Medicine and Haematology ,Cardiovascular ,030218 nuclear medicine & medical imaging ,NO ,03 medical and health sciences ,0302 clinical medicine ,COVID-19 Testing ,Cardiovascular procedures ,Predictive Value of Tests ,cardiovascular disease ,Clinical Research ,Environmental health ,INCAPS-COVID Investigators Group ,Pandemic ,Volume reduction ,Medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,cardiovascular imaging ,diagnostic cardiovascular procedure ,Pandemics ,business.industry ,SARS-CoV-2 ,Prevention ,COVID-19 ,Health Services ,United States/epidemiology ,United States ,Invasive coronary angiography ,coronaviru ,Heart Disease ,Good Health and Well Being ,MYOCARDIAL-INFARCTION ,Cardiovascular System & Hematology ,Predictive value of tests ,HOSPITAL ADMISSIONS ,Cardiology and Cardiovascular Medicine ,Early phase ,business - Abstract
Objectives: This study sought to quantify and compare the decline in volumes of cardiovascular procedures between the United States and non-U.S. institutions during the early phase of the coronavirus disease-2019 (COVID-19) pandemic. Background: The COVID-19 pandemic has disrupted the care of many non-COVID-19 illnesses. Reductions in diagnostic cardiovascular testing around the world have led to concerns over the implications of reduced testing for cardiovascular disease (CVD) morbidity and mortality. Methods: Data were submitted to the INCAPS-COVID (International Atomic Energy Agency Non-Invasive Cardiology Protocols Study of COVID-19), a multinational registry comprising 909 institutions in 108 countries (including 155 facilities in 40 U.S. states), assessing the impact of the COVID-19 pandemic on volumes of diagnostic cardiovascular procedures. Data were obtained for April 2020 and compared with volumes of baseline procedures from March 2019. We compared laboratory characteristics, practices, and procedure volumes between U.S. and non-U.S. facilities and between U.S. geographic regions and identified factors associated with volume reduction in the United States. Results: Reductions in the volumes of procedures in the United States were similar to those in non-U.S. facilities (68% vs. 63%, respectively; p = 0.237), although U.S. facilities reported greater reductions in invasive coronary angiography (69% vs. 53%, respectively; p < 0.001). Significantly more U.S. facilities reported increased use of telehealth and patient screening measures than non-U.S. facilities, such as temperature checks, symptom screenings, and COVID-19 testing. Reductions in volumes of procedures differed between U.S. regions, with larger declines observed in the Northeast (76%) and Midwest (74%) than in the South (62%) and West (44%). Prevalence of COVID-19, staff redeployments, outpatient centers, and urban centers were associated with greater reductions in volume in U.S. facilities in a multivariable analysis. Conclusions: We observed marked reductions in U.S. cardiovascular testing in the early phase of the pandemic and significant variability between U.S. regions. The association between reductions of volumes and COVID-19 prevalence in the United States highlighted the need for proactive efforts to maintain access to cardiovascular testing in areas most affected by outbreaks of COVID-19 infection.
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- 2021
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13. Microglia polarization in ischemic stroke: complex mechanisms and therapeutic interventions
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Jia-Hao Mao, Yuan Xu, Bo-Wen Li, Yi-Lin Yang, Ya Peng, Feng Zhi, and Li-Shao Guo
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business.industry ,Psychological intervention ,Cell Polarity ,General Medicine ,Brain Ischemia ,Stroke ,Perspective ,Ischemic stroke ,Humans ,Medicine ,Microglia polarization ,Microglia ,business ,Neuroscience ,Ischemic Stroke - Published
- 2021
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14. A performance evaluation method suitable for characterizing wide types of analog filters
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Jia-Hao Li and Hsin-Wen Ting
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Analogue filter ,Microcontroller ,business.industry ,Computer science ,Evaluation methods ,General Engineering ,ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS ,Hardware_CONTROLSTRUCTURESANDMICROPROGRAMMING ,Internet of Things ,business ,Computer hardware - Abstract
A method to evaluate the performance of a wide type of analog filters is proposed. This method requires only a Microcontroller Unit (MCU), low-cost peripheral components, circuitry, and a mobile de...
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- 2021
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15. International Impact of COVID-19 on the Diagnosis of Heart Disease
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Einstein, A. J., Shaw, L. J., Hirschfeld, C., Williams, M. C., Villines, T. C., Better, N., Vitola, J. V., Cerci, R., Dorbala, S., Raggi, P., Choi, A. D., Lu, B., Sinitsyn, V., Sergienko, V., Kudo, T., Norgaard, B. L., Maurovich-Horvat, P., Campisi, R., Milan, E., Louw, L., Allam, A. H., Bhatia, M., Malkovskiy, E., Goebel, B., Cohen, Y., Randazzo, M., Narula, J., Pascual, T. N. B., Pynda, Y., Dondi, M., Gerd Hinterleitner, Paez D., Yao, Lu, Olga, Morozova, Zhuoran, Xu, Juan, Lopez-Mattei, Purvi, Parwani, Mohammad Nawaz Nasery, Artan, Goda, Ervina, Shirka, Rabie, Benlabgaa, Salah, Bouyoucef, Abdelkader, Medjahedi, Qais, Nailli, Mariela, Agolti, Roberto Nicolas Aguero, Maria Del Carmen Alak, Lucia Graciela Alberguina, Guillermo, Arroñada, Andrea, Astesiano, Alfredo, Astesiano, Carolina Bas Norton, Pablo, Benteo, Juan, Blanco, Juan Manuel Bonelli, Jose Javier Bustos, Raul, Cabrejas, Jorge, Cachero, Alejandro, Canderoli, Silvia, Carames, Patrícia, Carrascosa, Ricardo, Castro, Oscar, Cendoya, Luciano Martin Cognigni, Carlos, Collaud, Claudia, Cortes, Javier, Courtis, Daniel, Cragnolino, Mariana, Daicz, Alejandro De La Vega, Silvia Teresa De Maria, Horacio Del Riego, Fernando, Dettori, Alejandro, Deviggiano, Laura, Dragonetti, Mario, Embon, Ruben Emilio Enriquez, Jorge, Ensinas, Fernando, Faccio, Adolfo, Facello, Diego, Garofalo, Ricardo, Geronazzo, Natalia, Gonza, Lucas, Gutierrez, Miguel Angel Guzzo, Victor, Hasbani, Melina, Huerin, Victor, Jäger, Julio Manuel Lewkowicz, Maria Nieves, A López De Munaín, Jose Maria Lotti, Alejandra, Marquez, Osvaldo, Masoli, Edgardo, Mastrovito, Matias, Mayoraz, Graciela Eva Melado, Anibal, Mele, Maria Fernanda Merani, Alejandro Horacio Meretta, Susana, Molteni, Marcos, Montecinos, Eduardo, Noguera, Carlos, Novoa, Claudio Pereyra Sueldo, Sebastian Perez Ascani, Pablo, Pollono, Maria Paula Pujol, Alejandro, Radzinschi, Gustavo, Raimondi, Marcela, Redruello, Marina, Rodríguez, Matías, Rodríguez, Romina Lorena Romero, Arturo Romero Acuña, Federico, Rovaletti, Lucas San Miguel, Lucrecia, Solari, Bruno, Strada, Sonia, Traverso, Sonia Simona Traverzo, Maria Del Huerto Velazquez Espeche, Juan Sebastian Weihmuller, Juan, Wolcan, Susana, Zeffiro, Mari, Sakanyan, Scott, Beuzeville, Raef, Boktor, Patrick, Butler, Jennifer, Calcott, Loretta, Carr, Virgil, Chan, Charles, Chao, Woon, Chong, Mark, Dobson, D'Arne, Downie, Girish, Dwivedi, Barry, Elison, Jean, Engela, Roslyn, Francis, Anand, Gaikwad, Ashok Gangasandra Basavaraj, Bruce, Goodwin, Robert, Greenough, Christian, Hamilton-Craig, Victar, Hsieh, Subodh, Joshi, Karin, Lederer, Kenneth, Lee, Joseph, Lee, John, Magnussen, Nghi, Mai, Gordon, Mander, Fiona, Murton, Dee, Nandurkar, Johanne, Neill, Edward, O'Rourke, Patricia, O'Sullivan, George, Pandos, Kunthi, Pathmaraj, Alexander, Pitman, Rohan, Poulter, Manuja, Premaratne, David, Prior, Lloyd, Ridley, Natalie, Rutherford, Hamid, Salehi, Connor, Saunders, Luke, Scarlett, Sujith, Seneviratne, Deepa, Shetty, Ganesh, Shrestha, Jonathan, Shulman, Vijay, Solanki, Tony, Stanton, Murch, Stuart, Michael, Stubbs, Ian, Swainson, Kim, Taubman, Andrew, Taylor, Paul, Thomas, Steven, Unger, Anthony, Upton, Shankar, Vamadevan, William Van Gaal, Johan, Verjans, Demetrius, Voutnis, Victor, Wayne, Peter, Wilson, David, Wong, Kirby, Wong, John, Younger, Gudrun, Feuchtner, Siroos, Mirzaei, Konrad, Weiss, Natallia, Maroz-Vadalazhskaya, Olivier, Gheysens, Filip, Homans, Rodrigo, Moreno-Reyes, Agnès, Pasquet, Veronique, Roelants, Caroline, M Van De Heyning, Raúl Araujo Ríos, Valentina, Soldat-Stankovic, Sinisa, Stankovic, Maria Helena Albernaz Siqueira, Augusto, Almeida, Paulo Henrique Alves Togni, Jose Henrique Andrade, Luciana, Andrade, Carlos, Anselmi, Roberta, Araújo, Guilherme, Azevedo, Sabbrina, Bezerra, Rodrigo, Biancardi, Gabriel Blacher Grossman, Simone, Brandão, Diego Bromfman Pianta, Lara, Carreira, Bruno, Castro, Tien, Chang, Fernando Cunali Jr, Roberto, Cury, Roberto, Dantas, Fernando de Amorim Fernandes, Andrea De Lorenzo, Robson De Macedo Filho, Fernanda, Erthal, Fabio, Fernandes, Juliano, Fernandes, Thiago Ferreira De Souza, Wilson Furlan Alves, Bruno, Ghini, Luiz, Goncalves, Ilan, Gottlieb, Marcelo, Hadlich, Vinícius, Kameoka, Ronaldo, Lima, Adna, Lima, Rafael Willain Lopes, Ricardo Machado, E Silva, Tiago, Magalhães, Fábio Martins Silva, Luiz Eduardo Mastrocola, Fábio, Medeiros, José Claudio Meneghetti, Vania, Naue, Danilo, Naves, Roberto, Nolasco, Cesar, Nomura, Joao Bruno Oliveira, Eduardo, Paixao, Filipe Penna De Carvalho, Ibraim, Pinto, Priscila, Possetti, Mayra, Quinta, Rodrigo Rizzo Nogueira Ramos, Ricardo, Rocha, Alfredo, Rodrigues, Carlos, Rodrigues, Leila, Romantini, Adelina, Sanches, Sara, Santana, Leonardo Sara da Silva, Paulo, Schvartzman, Cristina Sebastião Matushita, Tiago, Senra, Afonso, Shiozaki, Maria Eduarda Menezes de Siqueira, Cristiano, Siqueira, Paola, Smanio, Carlos Eduardo Soares, José Soares Junior, Marcio Sommer Bittencourt, Bernardo, Spiro, Cláudio Tinoco Mesquita, Jorge, Torreao, Rafael, Torres, Marly, Uellendahl, Guilherme Urpia Monte, Otávia, Veríssimo, Estevan Vieira Cabeda, Felipe Villela Pedras, Roberto, Waltrick, Marcello, Zapparoli, Hamid, Naseer, Marina, Garcheva-Tsacheva, Irena, Kostadinova, Youdaline, Theng, Gad, Abikhzer, Rene, Barette, Benjamin, Chow, Dominique, Dabreo, Matthias, Friedrich, Ria, Garg, Mohammed Nassoh Hafez, Chris, Johnson, Marla, Kiess, Jonathon, Leipsic, Eugene, Leung, Robert, Miller, Anastasia, Oikonomou, Stephan, Probst, Idan, Roifman, Gary, Small, Vikas, Tandon, Adwait, Trivedi, James, White, Katherine, Zukotynski, Jose, Canessa, Gabriel Castro Muñoz, Carmen, Concha, Pablo, Hidalgo, Cesar, Lovera, Teresa, Massardo, Luis Salazar Vargas, Pedro, Abad, Harold, Arturo, Sandra, Ayala, Luis, Benitez, Alberto, Cadena, Carlos, Caicedo, Antonio Calderón Moncayo, Sharon, Gomez, Claudia, T Gutierrez Villamil, Claudia, Jaimes, Juan Luis Londoño Blair, Luz, Pabon, Mauricio, Pineda, Juan Carlos Rojas, Diego, Ruiz, Manuel Valencia Escobar, Andres, Vasquez, Damiana, Vergel, Alejandro, Zuluaga, Isabel Berrocal Gamboa, Gabriel, Castro, Ulises, González, Ana, Baric, Tonci, Batinic, Maja, Franceschi, Maja Hrabak Paar, Mladen, Jukic, Petar, Medakovic, Viktor, Persic, Marina, Prpic, Ante, Punda, Juan Felipe Batista, Juan Manuel Gómez Lauchy, Yamile Marcos Gutierrez, Rayner, Menéndez, Amalia, Peix, Luis, Rochela, Christoforos, Panagidis, Ioannis, Petrou, Vaclav, Engelmann, Milan, Kaminek, Vladimír, Kincl, Otto, Lang, Milan, Simanek, Jawdat, Abdulla, Morten, Bøttcher, Mette, Christensen, Lars Christian Gormsen, Philip, Hasbak, Søren, Hess, Paw, Holdgaard, Allan, Johansen, Kasper, Kyhl, Kristian Altern Øvrehus, Niels Peter Rønnow Sand, Rolf, Steffensen, Anders, Thomassen, Zerahn, Bo, Alfredo, Perez, Giovanni Alejandro Escorza Velez, Mayra Sanchez Velez, Islam Shawky Abdel Aziz, Mahasen, Abougabal, Taghreed, Ahmed, Ahmed, Asfour, Mona, Hassan, Alia, Hassan, Ahmed, Ibrahim, Sameh, Kaffas, Ahmed, Kandeel, Mohamed Mandour Ali, Ahmad, Mansy, Hany, Maurice, Sherif, Nabil, Mahmoud, Shaaban, Ana Camila Flores, Anne, Poksi, Juhani, Knuuti, Velipekka, Kokkonen, Martti, Larikka, Valtteri, Uusitalo, Matthieu, Bailly, Samuel, Burg, Jean-François, Deux, Vincent, Habouzit, Fabien, Hyafil, Olivier, Lairez, Franck, Proffit, Hamza, Regaieg, Laure, Sarda-Mantel, Vania, Tacher, Roman, P Schneider, Harold, Ayetey, George, Angelidis, Aikaterini, Archontaki, Sofia, Chatziioannou, Ioannis, Datseris, Christina, Fragkaki, Panagiotis, Georgoulias, Sophia, Koukouraki, Maria, Koutelou, Eleni, Kyrozi, Evangelos, Repasos, Petros, Stavrou, Pipitsa, Valsamaki, Carla, Gonzalez, Goleat, Gutierrez, Alejandro, Maldonado, Klara, Buga, Ildiko, Garai, Erzsébet, Schmidt, Balint, Szilveszter, Edit, Várady, Nilesh, Banthia, Jinendra Kumar Bhagat, Rishi, Bhargava, Vivek, Bhat, Partha, Choudhury, Vijay Sai Chowdekar, Aparna, Irodi, Shashank, Jain, Elizabeth, Joseph, Sukriti, Kumar, Girijanandan, Mahapatra, Deepanjan, Mitra, Bhagwant Rai Mittal, Ahmad, Ozair, Chetan, Patel, Tapan, Patel, Ravi, Patel, Shivani, Patel, Sudhir, Saxena, Shantanu, Sengupta, Santosh, Singh, Bhanupriya, Singh, Ashwani, Sood, Atul, Verma, Erwin, Affandi, Padma Savenadia Alam, Edison, Edison, Gani, Gunawan, Habusari, Hapkido, Basuki, Hidayat, Aulia, Huda, Anggoro Praja Mukti, Djoko, Prawiro, Erwin Affandi Soeriadi, Hilman, 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Matis, Michael, Mckenna, Tony, Mcrae, Fernando, Mendoza, Michael, Merhige, David, Min, Chanan, Moffitt, Karen, Moncher, Warren, Moore, Shamil, Morayati, Michael, Morris, Mahmud, Mossa-Basha, Zorana, Mrsic, Venkatesh, Murthy, Prashant, Nagpal, Kyle, Napier, Katarina, Nelson, Prabhjot, Nijjar, Medhat, Osman, Edward, Passen, Amit, Patel, Pravin, Patil, Ryan, Paul, Lawrence, Phillips, Venkateshwar, Polsani, Rajaram, Poludasu, Brian, Pomerantz, Thomas, Porter, Ryan, Prentice, Amit, Pursnani, Mark, Rabbat, Suresh, Ramamurti, Florence, Rich, Hiram Rivera Luna, Austin, Robinson, Kim, Robles, Cesar, Rodríguez, Mark, Rorie, John, Rumberger, Raymond, Russell, Philip, Sabra, Diego, Sadler, Mary, Schemmer, U Joseph Schoepf, Samir, Shah, Nishant, Shah, Sujata, Shanbhag, Gaurav, Sharma, Steven, Shayani, Jamshid, Shirani, Pushpa, Shivaram, Steven, Sigman, Mitch, Simon, Ahmad, Slim, David, Smith, Alexandra, Smith, Prem, Soman, Aditya, Sood, Monvadi Barbara Srichai-Parsia, James, Streeter, Albert, T Ahmed Tawakol, Dustin, Thomas, Randall, Thompson, Tara, Torbet, Desiree, Trinidad, Shawn, Ullery, Samuel, Unzek, Seth, Uretsky, Srikanth, Vallurupalli, Vikas, Verma, Alfonso, Waller, Ellen, Wang, Parker, Ward, Gaby, Weissman, George, Wesbey, Kelly, White, David, Winchester, David, Wolinsky, Sandra, Yost, Michael, Zgaljardic, Omar, Alonso, Mario, Beretta, Rodolfo, Ferrando, Miguel, Kapitan, Fernando, Mut, Omoa, Djuraev, Gulnora, Rozikhodjaeva, Ha Le Ngoc, Son Hong Mai, Xuan Canh Nguyen, Einstein, A. J., Shaw, L. J., Hirschfeld, C., Williams, M. C., Villines, T. C., Better, N., Vitola, J. V., Cerci, R., Dorbala, S., Raggi, P., Choi, A. D., Lu, B., Sinitsyn, V., Sergienko, V., Kudo, T., Norgaard, B. L., Maurovich-Horvat, P., Campisi, R., Milan, E., Louw, L., Allam, A. H., Bhatia, M., Malkovskiy, E., Goebel, B., Cohen, Y., Randazzo, M., Narula, J., Pascual, T. N. B., Pynda, Y., Dondi, M., Paez, D., Cuocolo, A., Einstein, A, Shaw, L, Hirschfeld, C, Williams, M, Villines, T, Better, N, Vitola, J, Cerci, R, Dorbala, S, Raggi, P, Choi, A, Lu, B, Sinitsyn, V, Sergienko, V, Kudo, T, Norgaard, B, Maurovich-Horvat, P, Campisi, R, Milan, E, Louw, L, Allam, A, Bhatia, M, Malkovskiy, E, Goebel, B, Cohen, Y, Randazzo, M, Narula, J, Pascual, T, Pynda, Y, Dondi, M, Paez, D, Pacella, S, and Erba, P
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INCAPS COVID Investigators Group ,Heart disease ,Vascular damage Radboud Institute for Health Sciences [Radboudumc 16] ,Diagnostic Techniques, Cardiovascular ,coronavirus ,global health ,IAEA ,Disease ,Telehealth ,Cardiorespiratory Medicine and Haematology ,030204 cardiovascular system & hematology ,Cardiovascular ,0302 clinical medicine ,cardiovascular disease ,cardiac testing ,COVID-19 ,diagnostic techniques, cardiovascular ,health care surveys ,heart diseases ,humans ,international agencies ,Pandemic ,Global health ,030212 general & internal medicine ,COVID-19 Heart Disease ,Cause of death ,STATEMENT ,Heart Disease ,International Agencie ,Public Health and Health Services ,Biomedical Imaging ,Cardiology and Cardiovascular Medicine ,Human ,medicine.medical_specialty ,Heart Diseases ,03 medical and health sciences ,Clinical Research ,medicine ,Humans ,Personal protective equipment ,Heart Disease - Coronary Heart Disease ,business.industry ,International Agencies ,medicine.disease ,the ,coronaviru ,Diagnostic Techniques ,Good Health and Well Being ,Clinical research ,Cardiovascular System & Hematology ,Health Care Survey ,Health Care Surveys ,Emergency medicine ,Global Health ,business - Abstract
BACKGROUND The coronavirus disease 2019 (COVID-19) pandemic has adversely affected diagnosis and treatment of noncommunicable diseases. Its effects on delivery of diagnostic care for cardiovascular disease, which remains the leading cause of death worldwide, have not been quantified. OBJECTIVES The study sought to assess COVID-19`s impact on global cardiovascular diagnostic procedural volumes and safety practices. METHODS The International Atomic Energy Agency conducted a worldwide survey assessing alterations in cardiovascular procedure volumes and safety practices resulting from COVID-19. Noninvasive and invasive cardiac testing volumes were obtained from participating sites for March and April 2020 and compared with those from March 2019. Availability of personal protective equipment and pandemic-related testing practice changes were ascertained. RESULTS Surveys were submitted from 909 inpatient and outpatient centers performing cardiac diagnostic procedures, in 108 countries. Procedure volumes decreased 42% from March 2019 to March 2020, and 64% from March 2019 to April 2020. Transthoradc echocardiography decreased by 59%, transesophageat echocardiography 76%, and stress tests 78%, which varied between stress modalities. Coronary angiography (invasive or computed tomography) decreased 55% (p < 0.001 for each procedure). hi multivariable regression, significantly greater reduction in procedures occurred for centers in countries with lower gross domestic product. Location in a low-income and lower-middle-income country was associated with an additional 22% reduction in cardiac procedures and less availability of personal protective equipment and teteheatth. CONCLUSIONS COVID-19 was associated with a significant and abrupt reduction in cardiovascular diagnostic testing across the globe, especially affecting the world's economically challenged. Further study of cardiovascular outcomes and COVID-19-related changes in care delivery is warranted. (C) 2021 The Authors. Published by Elsevier on behalf of the American College of Cardiology Foundation.
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- 2021
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16. Investigation and Reform Measures of the Current Situation of Cultivating the Innovative Ability of HVAC
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Jing Lv, Jia-Hao Huang, and Lei Feng
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Architectural engineering ,Engineering ,ComputingMilieux_THECOMPUTINGPROFESSION ,business.industry ,HVAC ,ComputingMilieux_COMPUTERSANDEDUCATION ,Current (fluid) ,business - Abstract
This article conducted a questionnaire survey on HVAC graduate students in the University of Shanghai for Science and Technology, analyzed the problems existing in the cultivation of innovative ability of them and combined with the actual situation of HVAC major postgraduates, it was proposed that the cultivation mode of hierarchically classifying and teaching students according to their aptitudes for students with different professional abilities and development directions. It is proposed some reform measures such as the reform of the graduate course system and teaching mode, strengthen the cultivation of post-graduates ability to discover and solve problems, implement joint schools-enterprises training and strengthen experimental teaching, which promote the cultivation of HVAC graduate students' innovative ability.
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- 2021
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17. Interleukin-8 as a candidate for thymoma identification and recurrence surveillance
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Jian Gao, Jihong Dong, Chun Jin, Haikun Wang, Wen Hao Yang, Ding Jianyong, Pengjie Yang, Li Wang, Gang Chen, Qibin Leng, Jia-Hao Jiang, Shuzhong Cui, Dian Xiong, Junzhen Liu, Gao Shilin, and Aiwu Ke
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0301 basic medicine ,Adult ,Male ,Pathology ,medicine.medical_specialty ,Thymoma ,Science ,Immunology ,General Physics and Astronomy ,chemical and pharmacologic phenomena ,General Biochemistry, Genetics and Molecular Biology ,Article ,Tumour biomarkers ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,hemic and lymphatic diseases ,medicine ,Biomarkers, Tumor ,Humans ,Clinical significance ,In patient ,Interleukin 8 ,Young adult ,lcsh:Science ,neoplasms ,Aged ,Multidisciplinary ,medicine.diagnostic_test ,Receiver operating characteristic ,business.industry ,Interleukin-8 ,Magnetic resonance imaging ,General Chemistry ,Thymus Neoplasms ,Middle Aged ,medicine.disease ,030104 developmental biology ,surgical procedures, operative ,030220 oncology & carcinogenesis ,Biomarker (medicine) ,Female ,lcsh:Q ,Neoplasm Recurrence, Local ,business - Abstract
Thymoma is the most common tumor of the anterior mediastinum. Routine imaging methods such as computed tomography or magnetic resonance imaging often lead to misdiagnosis between thymoma and other thymic abnormalities. Therefore, urgently needed is to develop a new diagnostic strategy. Here we identify interleukin-8 (IL-8) as a biomarker for auxiliary diagnosis of thymoma. We find that IL-8 levels in naïve T cells are markedly elevated in patients with thymoma compared to those with other thymic tumors. IL-8 levels in naive T cells are significantly decreased after surgical resection in thymoma patients, and rise again when thymoma recurs. A receiver operating characteristic curve analysis shows that IL-8 evaluation performs well in thymoma identification, with high specificities and sensitivities. We also observe significant clinical relevance between IL-8 levels in naïve T cells and clinicopathological features. In conclusion, our study suggests that IL-8 is a biomarker for thymoma identification and recurrence surveillance., Imaging methods, such as CT or MRI, cannot provide accurate diagnosis between malignant thymomas and other thymic abnormalities. Here the authors show that the levels of IL-8 in circulating naive T cells are elevated in patients with thymoma compared with other thymic masses, proposing IL-8 as a candidate biomarker for thymoma diagnosis and recurrence surveillance.
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- 2020
18. The best optical zone for small-incision lenticule extraction in high myopic patients
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Boyuan Yao, Jia-Hao Zhang, Yan Zhang, Shurong Wang, and Yuxi He
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genetic structures ,Corneal Surgery, Laser ,Corneal Stroma ,Visual Acuity ,Cornea ,03 medical and health sciences ,0302 clinical medicine ,Myopia ,Humans ,Small incision lenticule extraction ,Medicine ,In patient ,Prospective Studies ,business.industry ,High myopia ,eye diseases ,Sensory Systems ,Refractive Surgical Procedures ,Ophthalmology ,030221 ophthalmology & optometry ,Optometry ,Lasers, Excimer ,Surgery ,sense organs ,business ,030217 neurology & neurosurgery - Abstract
Small-incision lenticule extraction (SMILE) is an effective and safe procedure for the correction of myopia due to minimally invasive and noncorneal flap surgery. However, the SMILE procedure has certain requirements for corneal cap thickness, attempted refractive correction, residual stromal bed thickness, and optical zone diameter, which sometimes make surgeons hesitant to choose SMILE or other refractive surgeries. The requirements limit its use in patients with high myopia. The purpose of this review was to find the optimal parameters of SMILE through discussing the best optical zone for high myopic patients, the visual quality of different optical zones, the choice of corneal cap thickness, and their effects on corneal biomechanical parameters, so surgeons can provide reference recommendations for patients with high myopia in choosing a reasonable and safe procedure.
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- 2020
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19. Impact of Admission Diagnosis on the Smoking Cessation Rate: A Brief Report From a Multi-centre Inpatient Smoking Cessation Programme in Singapore
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See, Jason Jia Hao and See, Kay Choong
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Adult ,Male ,medicine.medical_specialty ,diagnosis ,media_common.quotation_subject ,medicine.medical_treatment ,Ethnic group ,lcsh:Medicine ,Disease ,Logistic regression ,01 natural sciences ,03 medical and health sciences ,Patient Admission ,0302 clinical medicine ,cardiovascular disease ,medicine ,Humans ,030212 general & internal medicine ,0101 mathematics ,Multi centre ,Medical diagnosis ,Aged ,Retrospective Studies ,media_common ,business.industry ,Brief Report ,lcsh:Public aspects of medicine ,Smoking ,010102 general mathematics ,lcsh:R ,Public Health, Environmental and Occupational Health ,Retrospective cohort study ,lcsh:RA1-1270 ,Middle Aged ,Abstinence ,smoking cessation ,Hospitalization ,Early Diagnosis ,singapore ,Emergency medicine ,Smoking cessation ,Female ,business - Abstract
Objectives Few studies have been published regarding the relevance of the admission diagnosis to the smoking cessation rate. We studied smoking cessation rates in relation to admission diagnoses in our inpatient smoking cessation programmes. Methods This retrospective study included all patients recruited into our inpatient smoking cessation programmes at 2 institutions in Singapore between June 2008 and December 2016. Patients were given individualized intensive counselling and were followed up via phone interviews for up to 6-month to assess their smoking status. Multivariable logistic regression was used to analyse potential associations between admission diagnoses and 6-month abstinence. Results A total of 7194 patients were included in this study. The mean age was 54.1 years, and 93.2% were male. In total, 1778 patients (24.7%) were abstinent at the 6-month follow-up call. Patients who quit smoking tended to be of Chinese ethnicity, have initiated smoking at a later age, be better educated, and have lower Fagerstrom Test of Nicotine Dependence scores. After adjusting for these factors, patients with a cardiovascular admission diagnosis had a significantly higher probability of quitting tobacco use than patients with a respiratory or other diagnosis. Conclusions In patients acutely admitted to the hospital, a diagnosis of cardiovascular disease was associated with the highest quit rate. Smoking cessation interventions need to be incorporated into all cardiovascular disease treatment pathways to leverage the patient's motivation and to improve the quit rate. In addition, patients in groups with lower quit rates may benefit from more intensive programmes to increase the rate of successful cessation.
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- 2020
20. Review of Experimental-Numerical Methodologies and Challenges for Floating Offshore Wind Turbines
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Jia-hao Chen, Peng Chen, and Zhiqiang Hu
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Wind power ,Computer simulation ,Computer science ,business.industry ,Mechanical Engineering ,Blade pitch ,Numerical analysis ,Ocean Engineering ,Offshore wind power ,Offshore geotechnical engineering ,Key (cryptography) ,Systems engineering ,business ,Scaling - Abstract
Due to the dissimilar scaling issues, the conventional experimental method of FOWTs can hardly be used directly to validate the full-scale global dynamic responses accurately. Therefore, it is of absolute necessity to find a more accurate, economic and efficient approach, which can be utilized to predict the full-scale global dynamic responses of FOWTs. In this paper, a literature review of experimental-numerical methodologies and challenges for FOWTs is made. Several key challenges in the conventional basin experiment issues are discussed, including scaling issues; coupling effects between aero-hydro and structural dynamic responses; blade pitch control strategies; experimental facilities and calibration methods. Several basin experiments, industrial projects and numerical codes are summarized to demonstrate the progress of hybrid experimental methods. Besides, time delay in hardware-in-the-loop challenges is concluded to emphasize their significant role in real-time hybrid approaches. It is of great use to comprehend these methodologies and challenges, which can help some future researchers to make a footstone for proposing a more efficient and functional hybrid basin experimental and numerical method.
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- 2020
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21. 3‐3: Novel Microstructure Film to Improve Viewing Angle of Multi‐Domain Polymer Sustained Alignment LCD
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Chin-An Lin, Cian-Rou Wu, Jia-Hao Li, Chien-Huang Liao, Yu-Hsuan Hung, and Kun-Cheng Tien
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chemistry.chemical_classification ,Multi domain ,Materials science ,Liquid-crystal display ,Optics ,chemistry ,law ,business.industry ,Polymer ,Viewing angle ,business ,Microstructure ,law.invention - Published
- 2020
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22. <scp>A</scp> low‐phase‐noise and low‐power CMOS colpitts VCO using G m boosting and capacitance switching techniques
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Chatrpol Pakasiri, Sen Wang, and Jia‐Hao You
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Boosting (machine learning) ,Materials science ,business.industry ,Electrical engineering ,Switched capacitor array ,Condensed Matter Physics ,Capacitance ,Atomic and Molecular Physics, and Optics ,Electronic, Optical and Magnetic Materials ,Power (physics) ,Voltage-controlled oscillator ,CMOS ,Phase noise ,Colpitts oscillator ,Electrical and Electronic Engineering ,business - Published
- 2020
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23. Increased resting state functional irregularity of T2DM brains with high HbA1c: sign for impaired verbal memory function?
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Guangbin Cui, Ze-Yang Li, Jin Zhang, Xin Zhang, Xiang-Nan Zhang, Shu-Ning Shen, Qian Sun, Zhe-sheng Shi, Jia-Hao Feng, Lin-Feng Yan, Ying Yu, Wen Wang, Bo Hu, Ke Xu, and Yang Yang
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medicine.medical_specialty ,endocrine system diseases ,Cognitive Neuroscience ,Audiology ,050105 experimental psychology ,03 medical and health sciences ,Behavioral Neuroscience ,Cellular and Molecular Neuroscience ,0302 clinical medicine ,Neuroimaging ,medicine ,Humans ,0501 psychology and cognitive sciences ,Radiology, Nuclear Medicine and imaging ,Cognitive decline ,Glycated Hemoglobin ,Brain Mapping ,California Verbal Learning Test ,Resting state fMRI ,business.industry ,05 social sciences ,Neuropsychology ,Brain ,Cognition ,Magnetic Resonance Imaging ,Cognitive test ,Psychiatry and Mental health ,Diabetes Mellitus, Type 2 ,Neurology ,Neurology (clinical) ,Verbal memory ,business ,030217 neurology & neurosurgery - Abstract
Glycosylated hemoglobin A1c (HbA1c) has been considered as a key contributor to impaired cognition in type 2 diabetes mellitus (T2DM) brains. However, how does it affect the brain and whether the glucose controlling can slow down the process are still unknown. In the current study, T2DM patients with high glycosylated hemoglobin level (HGL) and controls with normal glycosylated hemoglobin level (NGL) were enrolled to investigate the relationships between HbA1c, brain imaging characteristics and cognitive function. First, a series of cognitive tests including California Verbal Learning Test (CVLT) were conducted. Then, the functional irregularity based on resting state functional magnetic resonance imaging data was evaluated via a new data-driven brain entropy (BEN) mapping analysis method. We found that the HGLs exhibited significantly increased BEN in the right precentral gyrus (PreCG.R), the right middle frontal gyrus (MFG.R), the triangular and opercular parts of the right inferior frontal gyrus (IFGtriang.R and IFGoperc.R). The strengths of the functional connections of PreCG.R with the brainstem/cerebellum were decreased. Partial correlation analysis showed that HbA1c had a strong positive correlation to regional BEN and negatively correlated with some CVLT scores. Negative correlations also existed between the BEN of PreCG.R/IFGoperc.R and some CVLT scores, suggesting the correspondence between higher HbA1c, increased BEN and decreased verbal memory function. This study demonstrated the potential of BEN in exploring the functional alterations affected by HbA1c and interpreting the verbal memory function decline. It will help understanding the neurophysiological mechanism of T2DM-induced cognitive decline and taking effective prevention or treatment measures.
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- 2020
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24. A DATA-DRIVEN APPROACH FOR CREATIVE CONCEPT GENERATION AND EVALUATION
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Jia Hao, Hannah Forbes, Ji Han, Dirk Schaefer, and Feng Shi
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0209 industrial biotechnology ,Process management ,business.industry ,Emerging technologies ,Computer science ,0211 other engineering and technologies ,02 engineering and technology ,General Medicine ,Ideation ,Data-driven ,020901 industrial engineering & automation ,Conceptual design ,New product development ,Early phase ,business ,Engineering design process ,021106 design practice & management - Abstract
Conceptual design, as an early phase of the design process, is known to have the highest impact on determining the innovation level of design results. Although many tools exist to support designers in conceptual design, additional knowledge, especially knowledge related to emerging technologies, is still often needed. In this paper the authors aim to propose a data-driven creative concept generation and evaluation approach to support designers in incorporating emerging technologies in the new product early development stage. The approach is demonstrated by means of an illustrated example.
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- 2020
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25. Association between red blood cell distribution width and long-term mortality among patients undergoing percutaneous coronary intervention with previous history of cancer
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Mao-Qiang Lin, Sun-Ying Wang, Qing-Yong Yang, Zhi-Ming Zhang, Kaiyang Lin, Xiu-Feng Li, Jia-Hao Xu, Han Yan, Xinan Chen, Hanchuan Chen, and Yansong Guo
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Erythrocyte Indices ,Male ,Oncology ,medicine.medical_specialty ,Erythrocytes ,Health, Toxicology and Mutagenesis ,medicine.medical_treatment ,Clinical Biochemistry ,Coronary Disease ,Kaplan-Meier Estimate ,030204 cardiovascular system & hematology ,Biochemistry ,03 medical and health sciences ,Percutaneous Coronary Intervention ,0302 clinical medicine ,Risk Factors ,Neoplasms ,Internal medicine ,medicine ,Humans ,Aged ,Retrospective Studies ,business.industry ,Cancer ,Percutaneous coronary intervention ,Red blood cell distribution width ,Middle Aged ,Prognosis ,medicine.disease ,Coronary heart disease ,Survival Rate ,030220 oncology & carcinogenesis ,Biomarker (medicine) ,Female ,Long term mortality ,business ,Biomarkers - Abstract
Background: The number of patients suffering from coronary heart disease with cancer is rising. There is scarce evidence concerning the biomarkers related to prognosis among patients undergoing per...
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- 2020
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26. A Case of Chromoblastomycosis Caused by Fonsecaea pedrosoi Successfully Treated by Oral Itraconazole Together with Terbinafine
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Ping Li, Yi Zhang, Xiangnong Dai, Jia-Hao Li, Xucheng Shen, Sha Lu, Xingdong Ye, and Zhi-Min Xie
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medicine.medical_specialty ,Itraconazole ,Case Report ,Dermatology ,Fonsecaea pedrosoi ,030207 dermatology & venereal diseases ,03 medical and health sciences ,0302 clinical medicine ,Refractory ,lcsh:Dermatology ,medicine ,Terbinafine ,Quality of Life Research ,Skin damage ,Fungal gene sequencing ,Chromoblastomycosis ,biology ,business.industry ,lcsh:RL1-803 ,In vitro antifungal susceptibility ,medicine.disease ,biology.organism_classification ,Regimen ,030220 oncology & carcinogenesis ,business ,medicine.drug - Abstract
Patients with chromoblastomycosis (CBM) usually have a history of local skin damage related to outdoor activities, mainly manifested as chronic refractory proliferative pathologic changes. We report a case of a 56-year-old man with CBM, identified as Fonsecaea pedrosoi infection by fungal culture and gene sequencing. This patient was successfully treated with a regimen of oral itraconazole (ITZ) and terbinafine lasting 7 months. Through in vitro drug sensitivity tests, minimum inhibitory concentrations of amphotericin, ITZ, and terbinafine were 1 μg/ml, 0.25 μg/ml, and 1 μg/ml, respectively. In this case, terbinafine was found to be more effective than ITZ.
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- 2020
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27. Regulation of matrix metalloproteinases 2 and 9 in corneal neovascularization
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Yan Zhang, Jia-Hao Zhang, Boyuan Yao, Shurong Wang, and Yuxi He
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Vascular Endothelial Growth Factor A ,genetic structures ,Angiogenesis ,Inflammation ,Matrix Metalloproteinase Inhibitors ,Matrix metalloproteinase ,Fibroblast growth factor ,01 natural sciences ,Biochemistry ,chemistry.chemical_compound ,Cornea ,Drug Discovery ,medicine ,Humans ,Corneal Neovascularization ,Pharmacology ,Receptors, Notch ,010405 organic chemistry ,business.industry ,Mechanism (biology) ,Organic Chemistry ,Tissue Inhibitor of Metalloproteinases ,medicine.disease ,eye diseases ,0104 chemical sciences ,Vascular endothelial growth factor ,010404 medicinal & biomolecular chemistry ,medicine.anatomical_structure ,Matrix Metalloproteinase 9 ,chemistry ,Corneal neovascularization ,Cancer research ,Matrix Metalloproteinase 2 ,Molecular Medicine ,sense organs ,Ophthalmic Solutions ,medicine.symptom ,business ,Signal Transduction - Abstract
Corneal neovascularization (CNV), a pathological process of angiogenesis, can lead to serious consequences in the cornea. CNV is generally proved to associate with inflammation in the cornea closely, which is mainly elicited by the disruption of equilibrium between angiogenic and antiangiogenic factors. Angiogenic factors including vascular endothelial growth factors (VEGFs), basic fibroblast growth factors (bFGFs), and matrix metalloproteinases (MMPs) are vital factors in the formation of CNV. Especially VEGFs are convinced to be the core angiogenic factors in CNV, and MMPs are proved to exert dual effects on the process. Strikingly, matrix metalloproteinase 2 (MMP-2) and matrix metalloproteinase 9 (MMP-9) are determined to play key roles in the formation of CNV, while the mechanism is still vague. In this review, the latest researches are reviewed to discuss the role of MMP-2 and MMP-9 in CNV, respectively, and some inhibitors of them are presented. We hope to provide a new direction of drug research for CNV.
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- 2020
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28. Evaluating the Quality of Life of 231 Children With Primary Nephrotic Syndrome and Assessing Parental Awareness of the Disease
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Na Li, Yue Du, Tong Fu, and Jia Hao
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business.industry ,disease awareness ,media_common.quotation_subject ,primary nephrotic syndrome ,Questionnaire ,Disease ,Computer-assisted web interviewing ,Pediatrics ,questionnaire survey ,RJ1-570 ,Sadness ,Quality of life ,quality of life ,children ,Pediatrics, Perinatology and Child Health ,medicine ,Anxiety ,medicine.symptom ,business ,Inclusion (education) ,Depression (differential diagnoses) ,Clinical psychology ,media_common ,Original Research - Abstract
Objective: This study aims to investigate the quality of life of children with primary nephrotic syndrome (PNS), assess their parents' disease awareness, and provide a basis for the comprehensive management of children with PNS.Methods: A total of 231 children with PNS who were hospitalized in the Department of Pediatric Renal Rheumatology and Immunology in the ShengJing Hospital of the China Medical University from March 2019 to October 2020 were selected as the study subjects. The subjects and their parents were surveyed via a disease education and communication WeChat group and online questionnaire to investigate the children's quality of life, the needs of the parents, and their knowledge related to the disease.Results: In 93.51% of cases, the child's quality of life was affected, with mild to moderate effects being the most frequent (90.47%). The lowest overall quality of life scores were recorded for children who had been diagnosed 1–3 year prior to inclusion in the study, and the scores plateaued thereafter. On the physical functioning scale, the longer the illness, the greater the physical impact, with children typically experiencing pain and fatigue. The children generally scored low on the emotional functioning scale, exhibiting sleep disturbances for up to 5 years and worrying about accidents. The children's average score on the social functioning scale was high, with males achieving significantly higher scores (69.61 ± 25.42) than females (62.30 ± 27.51), and more than one-third of the children experiencing problems getting along with other teenagers and making friends. The primary problems expressed by parents were anxiety (59%), sadness (44%), fear (43%), and depression (40%), and several parents indicated that they struggled with issues of self-blame.Conclusion: PNS impacts the physical and psychological wellbeing of children suffering from the condition, significantly reduces their quality of life, and negatively impacts the psychological wellbeing of their parents. Therefore, children with PNS and their families need integrated management by doctors, nurses, dieticians, psychotherapists, educational institutions, and social stakeholders to improve their quality of life.
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- 2021
29. A survey of parental knowledge, attitude and practice of child car seat restraint use in Singapore with a literature review
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Xi Yun Ling, Daisy Kwai-Lin Chan, Mary Grace Sy Tan, and Alvin Jia-Hao Ngeow
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Car seat ,business.industry ,Applied psychology ,MEDLINE ,Medicine ,General Medicine ,business ,Restraint use ,Parental knowledge - Published
- 2021
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30. Therapy-related acute myeloid leukemia secondary to histiocytic sarcoma
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Wenying Wu, Jia Hao, Qian Xu, and Yuchen Jing
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Oncology ,medicine.medical_specialty ,business.industry ,Internal medicine ,medicine ,General Medicine ,Therapy-Related Acute Myeloid Leukemia ,Histiocytic sarcoma ,business ,medicine.disease - Published
- 2021
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31. Congenital adhesion band causing recurrent subacute intestinal obstruction in a virgin abdomen
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Zong Jie Koh, Su Ann Lui, Jia Hao Law, Ning Qi Pang, and Celene Wei Qi Ng
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Chest Pain ,Pathology ,medicine.medical_specialty ,business.industry ,Adhesion (medicine) ,General Medicine ,medicine.disease ,medicine.anatomical_structure ,Abdomen ,medicine ,Humans ,Subacute intestinal obstruction ,business ,Intestinal Obstruction - Published
- 2021
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32. An assessment of morphological and pathological changes in paravertebral muscle degeneration using imaging and histological analysis: a cross-sectional study
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Ding-Chao Zhu, Qiang Guo, Yi-Han Wang, Jia-Jing Xu, Hui-Gen Lu, Chao Jiang, Yaosen Wu, and Jia-Hao Lin
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medicine.medical_specialty ,Pathology ,Paraspinal Muscles ,H&E stain ,Fatty degeneration ,Diseases of the musculoskeletal system ,Degeneration (medical) ,Magnetic resonance imaging ,Lumbar ,Rheumatology ,Internal medicine ,medicine ,Humans ,Low back pain ,Orthopedics and Sports Medicine ,Pathological ,Inflammatory ,Paravertebral muscle ,medicine.diagnostic_test ,business.industry ,Histology ,Muscular Atrophy ,Cross-Sectional Studies ,RC925-935 ,medicine.symptom ,business ,Research Article - Abstract
Background The high signal of paravertebral muscle (PVM) on T2-weighted image (T2WI) is usually considered to be fatty degeneration. However, it is difficult to distinguish inflammatory edema from fatty degeneration on T2WI. The purpose of this study was to identify different types of PVM high signal in patients with low back pain (LBP) through magnetic resonance imaging (MRI) and histology. Methods Seventy patients with LBP underwent MRI. The signal change of multifidus both on T2WI and fat suppression image (FSI) was quantified by Image J. Furthermore, 25 of the 70 patients underwent surgery for degenerative lumbar disease and their multifidus were obtained during the operation. Histological analysis of the samples was performed by HE staining. Result Three types of PVM signal changes were identified from the MRI. Type 1 (n = 36) indicated fatty degeneration characterized by a high signal on T2WI and low signal on FSI. High signal on both T2WI and FSI, signifying type 2 meant inflammatory edema (n = 9). Type 3 (n = 25) showed high signal on T2WI and partial signal suppression on FSI, which meant a combination of fatty degeneration and inflammatory edema. Histological results were consistent with MRI. Among the 25 patients who underwent surgery, type 1 (n = 14) showed adipocytes infiltration, type 2 (n = 3) showed inflammatory cells infiltration and type 3 (n = 8) showed adipocytes and inflammatory cells infiltration. Conclusion From our results, there are three types of pathological changes in patients with PVM degeneration, which may help to decide on targeted treatments for LBP.
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- 2021
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33. Spinal cord stimulation reduces cardiac pain through microglial deactivation in rats with chronic myocardial ischemia
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Jia-Hao Ren, Yun-Qing Li, Xiaochen Wu, Liu Jingzhen, Jinbao Zhang, Jian Wang, Siyi He, Xi-Qiang Wu, Yi Sun, and Mingming Zhang
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Male ,Spinal Cord Dorsal Horn ,Cancer Research ,Analgesic ,Central nervous system ,Myocardial Ischemia ,microglia ,Pharmacology ,p38 Mitogen-Activated Protein Kinases ,Biochemistry ,Angina Pectoris ,Rats, Sprague-Dawley ,Angina ,Genetics ,medicine ,Animals ,chronic myocardial ischemia ,Molecular Biology ,Neuroinflammation ,Spinal Cord Stimulation ,integumentary system ,Microglia ,business.industry ,Calcium-Binding Proteins ,Microfilament Proteins ,Chronic pain ,Articles ,medicine.disease ,Spinal cord ,Rats ,Disease Models, Animal ,medicine.anatomical_structure ,Nociception ,Gene Expression Regulation ,nervous system ,Oncology ,Astrocytes ,Chronic Disease ,Neuroinflammatory Diseases ,Cytokines ,Molecular Medicine ,business ,cardiac pain - Abstract
Angina pectoris is cardiac pain that is a common clinical symptom often resulting from myocardial ischemia. Spinal cord stimulation (SCS) is effective in treating refractory angina pectoris, but its underlying mechanisms have not been fully elucidated. The spinal dorsal horn is the first region of the central nervous system that receives nociceptive information; it is also the target of SCS. In the spinal cord, glial (astrocytes and microglia) activation is involved in the initiation and persistence of chronic pain. Thus, the present study investigated the possible cardiac pain‑relieving effects of SCS on spinal dorsal horn glia in chronic myocardial ischemia (CMI). CMI was established by left anterior descending artery ligation surgery, which induced significant spontaneous/ongoing cardiac pain behaviors, as measured using the open field test in rats. SCS effectively improved such behaviors as shown by open field and conditioned place preference tests in CMI model rats. SCS suppressed CMI‑induced spinal dorsal horn microglial activation, with downregulation of ionized calcium‑binding adaptor protein‑1 expression. Moreover, SCS inhibited CMI‑induced spinal expression of phosphorylated‑p38 MAPK, which was specifically colocalized with the spinal dorsal horn microglia rather than astrocytes and neurons. Furthermore, SCS could depress spinal neuroinflammation by suppressing CMI‑induced IL‑1β and TNF‑α release. Intrathecal administration of minocycline, a microglial inhibitor, alleviated the cardiac pain behaviors in CMI model rats. In addition, the injection of fractalkine (microglia‑activating factor) partially reversed the SCS‑produced analgesic effects on CMI‑induced cardiac pain. These results indicated that the therapeutic mechanism of SCS on CMI may occur partially through the inhibition of spinal microglial p38 MAPK pathway activation. The present study identified a novel mechanism underlying the SCS‑produced analgesic effects on chronic cardiac pain.
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- 2021
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34. 340 Oesophageal perforation in VLBW infants is associated with air leak syndrome and combined mortality with moderate-severe IVH
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Sheau Yun Kan, Mary Grace Tan, Woei Bing Poon, and Jia Hao Alvin Ngeow
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Oesophageal perforation ,Vlbw infants ,business.industry ,Anesthesia ,Medicine ,business ,Air leak - Published
- 2021
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35. Impact of Hyperinsulinemia on Long-Term Clinical Outcomes of Percutaneous Coronary Intervention in Patients without Diabetes Who Have Acute Myocardial Syndrome
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Qiang Tan, Jia Hao, Ming Chen, and Kun Wei
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Pharmacology ,medicine.medical_specialty ,business.industry ,medicine.medical_treatment ,percutaneous coronary intervention ,Hazard ratio ,Percutaneous coronary intervention ,medicine.disease ,Angina ,acute myocardial syndrome ,Internal medicine ,hyperinsulinemia ,Conventional PCI ,Internal Medicine ,medicine ,Hyperinsulinemia ,Clinical endpoint ,Cardiology ,Myocardial infarction ,business ,major adverse cardiac events ,Targets and Therapy [Diabetes, Metabolic Syndrome and Obesity] ,Mace ,Original Research - Abstract
Qiang Tan, Ming Chen, Jia Hao, Kun Wei Department of Cardiology, Qinhuangdao First Hospital, Hebei Medical University, Qinhuangdao, Hebei Province, Peopleâs Republic of ChinaCorrespondence: Qiang TanDepartment of Cardiology, Qinhuangdao First Hospital, Hebei Medical University, No. 258 of Wenhua Road, Qinhuangdao, Hebei Province, 066000, Peopleâs Republic of ChinaEmail qhdtanqiang@aliyun.comBackground and Objectives: Hyperinsulinemia plays a key role in the development of cardiovascular impairment in patients with metabolic syndrome. The aim of this study was to evaluate the influence of hyperinsulinemia on long-term clinical outcomes of percutaneous coronary intervention (PCI) in patients without diabetes mellitus who have acute myocardial syndrome (ACS).Methods: Between March 2016 and January 2019, we enrolled 468 patients with ACS and without diabetes mellitus who received primary PCI. Patients were divided into a low-insulin group (n = 157), medium-insulin group (n = 154), and high-insulin group (n = 157) according to tertiles of fasting insulin level. The primary endpoint was major adverse cardiac events (MACE; all-cause death, non-fatal myocardial infarction, target vessel revascularization [TVR]) at 24 months. The secondary endpoint was angina hospitalization.Results: Patients in the high-insulin group had an unfavorable prognosis, with a higher rate of MACE (34.39%) than the low-insulin group (22.29%) and medium-insulin group (23.37%) at 24 months (P < 0.05). This difference was mainly driven by the increase in TVR. The high-insulin group also had a higher rate of angina hospitalization than the low-insulin group. Cox proportional hazards regression showed that high-insulin level (hazard ratio [HR] 1.870, 95% confidence interval [CI] 1.202â 2.909), small-vessel lesion (HR 1.713, 95% CI 1.111â 2.642), bifurcation lesion (HR 3.394, 95% CI 2.033â 5.067), SYNTAX score (HR 1.084, 95% CI 1.039â 1.130), and stent length (HR 1.017, 95% CI 1.002â 1.032) increased the incidence of MACE in patients with ACS and without diabetes who underwent PCI.Conclusion: Hyperinsulinemia might be a valid predictor of clinical outcomes in patients with ACS undergoing PCI.Keywords: percutaneous coronary intervention, hyperinsulinemia, acute myocardial syndrome, major adverse cardiac events
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- 2021
36. Blue Perovskite Light-emitting Diodes: from Material Preparation to Device Optimization
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Zhu Xiao-dong, Wang Zhibin, Tan Zhan’ao, and Jia Hao-ran
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Radiation ,Materials science ,business.industry ,law ,Optoelectronics ,Condensed Matter Physics ,business ,Electronic, Optical and Magnetic Materials ,Perovskite (structure) ,Light-emitting diode ,law.invention - Published
- 2020
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37. Novel combination of celecoxib and metformin improves the antitumor effect by inhibiting the growth of Hepatocellular Carcinoma
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Jun-Wen Hu, Bin Chen, Jia-Hao Liang, Jian-Hong Zhong, Bang-De Xiang, Jie Zhang, and Ya-Peng Qi
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0301 basic medicine ,endocrine system diseases ,Hepatocellular carcinoma ,03 medical and health sciences ,0302 clinical medicine ,In vivo ,Medicine ,Viability assay ,neoplasms ,PI3K/AKT/mTOR pathway ,combination ,business.industry ,MTOR ,medicine.disease ,digestive system diseases ,In vitro ,Metformin ,030104 developmental biology ,Oncology ,Celecoxib ,Cell culture ,030220 oncology & carcinogenesis ,Cancer research ,metformin ,business ,Research Paper ,medicine.drug - Abstract
Objective: To explore the effect of COX-2 inhibitor celecoxib in combination with metformin on the prevention of Hepatocellular carcinoma (HCC) and the mechanisms involved. Methods: HCC cell lines and an HCC rat model were treated with celecoxib, metformin or a combination of both. Cell viability and tumor formation were measured. Results: In vitro and in vivo studies showed that treatment with a combination of celecoxib and metformin inhibited proliferation of HCC to a greater extent than either treatment alone, by reducing the phosphorylation of MTOR. Conclusion: The study suggested that celecoxib combined with metformin would be more effective for the preventing occurrence of HCC than either treatment alone and this combination of therapy is worthy of further study.
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- 2020
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38. Impact of Surgeon Experience on Postoperative Rehemorrhage in Spontaneous Basal Ganglia Intracerebral Hemorrhage
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Zheng-Kai Zhu, Liang-Ming Li, Wei-Biao Lin, Yong-Hua Zhu, Wen-Jian Zheng, Qi-Chang Lin, Wei Liao, Shao-Hua Lin, Jia-Hao Su, and Zi-Hui Hu
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Adult ,Male ,Decompressive Craniectomy ,medicine.medical_specialty ,Operative Time ,Postoperative Hemorrhage ,Neurosurgical Procedures ,03 medical and health sciences ,0302 clinical medicine ,Recurrence ,Retrospective survey ,Basal ganglia ,Humans ,Medicine ,Spontaneous intracerebral hemorrhage ,Severe complication ,Retrospective Studies ,Intracerebral hemorrhage ,Surgical approach ,business.industry ,Basal Ganglia Hemorrhage ,Odds ratio ,Middle Aged ,medicine.disease ,Gelatin Sponge, Absorbable ,Hemostasis, Surgical ,Surgery ,Logistic Models ,Neurosurgeons ,030220 oncology & carcinogenesis ,Hemostasis ,Female ,Neurology (clinical) ,business ,030217 neurology & neurosurgery - Abstract
Background Spontaneous intracerebral hemorrhage (SICH) is of high mortality and morbidity. SICH in the basal ganglia is usually attributed to chronic hypertension. Postoperative rehemorrhage is a severe complication, and it is relative to surgical techniques. Methods A retrospective survey was conducted on 123 patients with basal ganglia SICH who received surgery from January 2015 to January 2019. Postoperative rehemorrhage within 24 hours was recorded. Preoperative clinical parameters, surgeon experience ( 20 years), operation time, surgical approach, and hemostasis technique were recorded and analyzed. Results The total postoperative rehemorrhage rate was 12.2% (15/123). The univariable analysis showed general surgeons had a higher postoperative rehemorrhage rate than experienced surgeons (30.4% vs. 8.6%, respectively; P = 0.068). The operation time (minutes) in experienced surgeons was significantly longer (164.9 ± 53.5 vs. 137.7 ± 30.8, P = 0.016), but they had a higher chance to locate the responsible vessel (74.2% vs. 40.0%, P = 0.001), respectively. Logistic analysis indicated that experienced surgeons significantly reduced the risk of rehemorrhage (odds ratio [OR], 0.242; P = 0.021). Transsylvian approach was a protective factor for postoperative rehemorrhage (OR, 0.291; P = 0.045). Conclusions Surgeons' experience plays the most important role in postoperative rehemorrhage. Surgeons with rich experience were willing to spend more time to achieve definitive hemostasis in operation. The use of a transsylvian approach can significantly reduce the rehemorrhage rate. Packing hemostasis with gelatin sponge may increase complications.
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- 2019
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39. Smoker motivations and predictors of smoking cessation: lessons from an inpatient smoking cessation programme
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Shuet Ling Karen Poh, Jia Hao Jason See, Yeow Chun Lum, and Thon Hon Yong
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Adult ,Male ,Fagerstrom Test for Nicotine Dependence ,medicine.medical_specialty ,medicine.medical_treatment ,Ethnic group ,Electronic Nicotine Delivery Systems ,030204 cardiovascular system & hematology ,03 medical and health sciences ,Cold turkey ,0302 clinical medicine ,Patient Education as Topic ,Acquired immunodeficiency syndrome (AIDS) ,Surveys and Questionnaires ,medicine ,Humans ,030212 general & internal medicine ,Aged ,Retrospective Studies ,Inpatients ,Motivation ,business.industry ,Smoking ,Retrospective cohort study ,Tobacco Use Disorder ,General Medicine ,Middle Aged ,medicine.disease ,Psychological dependence ,Treatment Outcome ,Social Class ,Family medicine ,Smoking cessation ,Female ,Smoking Cessation ,Original Article ,Smoking status ,business - Abstract
Introduction Our study aimed to review the quit rates of smokers from our inpatient smoking cessation programme in relation to habits and sociodemographic factors, and also to explore the potential usefulness of electronic cigarettes (ECs) by reviewing smoking motivations. Methods This was a retrospective study of patients recruited into our inpatient smoking cessation programme from June 2008 to June 2015. Sociodemographic factors and information on smoking habits were collected using a counsellor-administered questionnaire. Patients were given intensive counselling followed by a phone interview at one, three and six months to assess smoking status. Results A total of 2,722 patients were enrolled. 27.6% of patients were abstinent at six months' follow-up. Patients who quit smoking were older, married, initiated smoking at a later age and had lower Fagerstrom Test for Nicotine Dependence scores. There was a trend towards successful quitting in those with higher education levels and Chinese ethnicity, but this was not statistically significant. Patients who planned to quit cold turkey and those who quit because of social pressures were more successful. Of the smoking motivations, only nicotine dependence was an independent predictor of smoking cessation. Conclusion Smoking motivations such as habitual use and psychological dependence did not influence quit rates and therefore do not support the use of ECs. Instead, a cold turkey method of quitting was shown in our study to contribute to cessation success. We recommend an increased focus on the use of pharmacologic aids as well as involvement of peer/spousal support to aid in such quit attempts.
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- 2019
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40. Inhibition of EZH2 ameliorates cartilage endplate degeneration and attenuates the progression of intervertebral disc degeneration via demethylation of Sox-9
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Ding-Chao Zhu, Liaojun Sun, Yu Jin, Chao Jiang, Ze-Ming Sun, Qiang Guo, Jia-Hao Lin, Naifeng Tian, Jia-Jing Xu, Yaosen Wu, and Xiaolei Zhang
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Male ,0301 basic medicine ,Research paper ,Interleukin-1beta ,lcsh:Medicine ,Intervertebral Disc Degeneration ,macromolecular substances ,Degeneration (medical) ,Sox-9 ,Biology ,General Biochemistry, Genetics and Molecular Biology ,Helsinki declaration ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Animals ,Humans ,Gene silencing ,Enhancer of Zeste Homolog 2 Protein ,EZH2 ,Aggrecan ,lcsh:R5-920 ,Gene knockdown ,business.industry ,Cartilage ,lcsh:R ,SOX9 Transcription Factor ,Intervertebral disc ,Epigenetic alteration ,General Medicine ,Immunohistochemistry ,Magnetic Resonance Imaging ,Demethylation ,Rats ,Cell biology ,Disease Models, Animal ,030104 developmental biology ,medicine.anatomical_structure ,Gene Expression Regulation ,030220 oncology & carcinogenesis ,Histone methyltransferase ,Cancer research ,Disease Progression ,Cartilaginous endplate ,business ,lcsh:Medicine (General) ,Biomarkers - Abstract
Backgroud: Cartilaginous endplate (CEP) degeneration is considered as one of the major causes of intervertebral disc degeneration (IVDD) which causes low back pain. Recent studies have proved that epigenetic alteration is involved in a variety of diseases. This work explored the role of histone methyltransferase enhancer of zeste homologue 2 (EZH2) in CEP degeneration, as well as its underlying epigenetic mechanisms, and confirmed the effect of EZH2 knockdown on delaying IVDD development. Methods: Western blotting, immunofluorescence staining, and ChIP assay were applied to demonstrate the molecular mechanism of EZH2 in CEP tissue. The therapeutic potential of EZH2 was investigated using puncture-induced rat models. Findings: The EZH2 expression was upregulated in human and rat CEP tissue. It was also found that the overexpression of EZH2 suppressed the expression of Collagen II, aggrecan and Sox-9, and promoted the expression of ADTAMTS5 and MMP13 in rat endplate chondrocytes (EPCs), which could be reversed by EZH2 silencing. The correlation between EZH2 and Sox-9 was further explored, while overexpression of Sox-9 could reverse the effect of EZH2 in rat EPCs. Moreover, inhibition of EZH2 upregulated the level of Sox-9 by demethylating H3K27me3 at Sox-9 promoter sites, revealing the regulatory mechanism of EZH2 on Sox-9. Meanwhile, puncture-induced rat models showed that EZH2 knockdown exerted a protective effect on CEP and disc degeneration. Interpretation: This study reveals that EZH2 inhibition is a promising strategy for mitigating the symptoms and progression of IVDD. Funding: This study was funded by the Natural Science Foundation of Zhejiang Province (Y16H060034). Declaration of Interest: The authors declare that they have no competing interests. Ethical Approval: All surgical interventions, treatments and postoperative animal care procedures were strictly performed in accordance with the guidelines for Animal Care and Use outlined by the Committee of Wenzhou Medical University. Human CEP tissue collection and experiments that involved human CEP were approved by the Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University Ethics Committee and followed the guidelines of the Helsinki Declaration.
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- 2019
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41. ClickGene: an open cloud-based platform for big pan-cancer data genome-wide association study, visualization and exploration
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Xing Feng Yang, Jia Hao Bi, Kai Song, John D. Minna, Yi Fan Tong, Adi F. Gazdar, and Zhe Wei Qiu
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Web server ,Computer science ,Big data ,Genomics ,Cloud computing ,lcsh:Analysis ,computer.software_genre ,lcsh:Computer applications to medicine. Medical informatics ,Biochemistry ,Manhattan plot ,law.invention ,Business process discovery ,03 medical and health sciences ,law ,Genetics ,Molecular Biology ,030304 developmental biology ,0303 health sciences ,business.industry ,030302 biochemistry & molecular biology ,lcsh:QA299.6-433 ,Mouse button ,Data science ,Software Article ,Computer Science Applications ,Visualization ,Computational Mathematics ,Computational Theory and Mathematics ,lcsh:R858-859.7 ,business ,computer - Abstract
Tremendous amount of whole-genome sequencing data have been provided by large consortium projects such as TCGA (The Cancer Genome Atlas), COSMIC and so on, which creates incredible opportunities for functional gene research and cancer associated mechanism uncovering. While the existing web servers are valuable and widely used, many whole genome analysis functions urgently needed by experimental biologists are still not adequately addressed. A cloud-based platform, named CG (ClickGene), therefore, was developed for DIY analyzing of user’s private in-house data or public genome data without any requirement of software installation or system configuration. CG platform provides key interactive and customized functions including Bee-swarm plot, linear regression analyses, Mountain plot, Directional Manhattan plot, Deflection plot and Volcano plot. Using these tools, global profiling or individual gene distributions for expression and copy number variation (CNV) analyses can be generated by only mouse button clicking. The easy accessibility of such comprehensive pan-cancer genome analysis greatly facilitates data mining in wide research areas, such as therapeutic discovery process. Therefore, it fills in the gaps between big cancer genomics data and the delivery of integrated knowledge to end-users, thus helping unleash the value of the current data resources. More importantly, unlike other R-based web platforms, Dubbo, a cloud distributed service governance framework for ‘big data’ stream global transferring, was used to develop CG platform. After being developed, CG is run on an independent cloud-server, which ensures its steady global accessibility. More than 2 years running history of CG proved that advanced plots for hundreds of whole-genome data can be created through it within seconds by end-users anytime and anywhere. CG is available at http://www.clickgenome.org/. Electronic supplementary material The online version of this article (10.1186/s13040-019-0202-3) contains supplementary material, which is available to authorized users.
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- 2019
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42. Ferroelectric domain dynamics and stability in graphene oxide-P(VDF-TrFE) multilayer films for ultra-high-density memory application
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Qun-Dong Shen, Lei Zhang, Yifeng Yue, Yingxin Chen, Weizhong Xu, Jia-Hao Liu, and Xinli Lin
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Fabrication ,Materials science ,Graphene ,business.industry ,Oxide ,02 engineering and technology ,General Chemistry ,010402 general chemistry ,021001 nanoscience & nanotechnology ,01 natural sciences ,Ferroelectricity ,0104 chemical sciences ,law.invention ,Dipole ,chemistry.chemical_compound ,Piezoresponse force microscopy ,chemistry ,law ,Phase (matter) ,Optoelectronics ,General Materials Science ,Thermal stability ,0210 nano-technology ,business - Abstract
The rapid growth of miniaturized electronic devices has raised the demand for compact, flexible, wearable, and non-volatile memory units. However, integration into nanoelectronic devices requires a scaled-down data-storage component, but this often results in the deterioration of the ferroelectric switching performance. Herein, we demonstrate a simple and scalable fabrication of poly (vinylidene fluoride trifluoroethylene) [P(VDF-TrFE)] film with graphene oxide (GO) nanosheets. Using piezoresponse force microscopy (PFM), the storage features of this multilayer film were investigated, including establishment of two stable memory states, ferroelectric switching dynamics in the point-polarization and linear-polarization modes, and time and thermal stability of information storage. Remarkably, the GO-P(VDF-TrFE) film favored formation of low-temperature (LT) ferroelectric phase with much more ordered sequences of trans conformations relative to pristine P(VDF-TrFE) due to the presence of electrostatic interaction between GO nanosheets and C F dipoles of P(VDF-TrFE), thus affording improved ferroelectric properties. The GO-P(VDF-TrFE) film showed several excellent storage features, such as ultra-high density of more than 300 Gbits in−2, good writing & erasing repeatability, long data retention time, and elevated device operation temperature. In-depth understanding and utilization of the excellent non-volatile memory performance of this new GO-ferroelectric system will open new avenues for the next generation of nanoelectronic devices.
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- 2019
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43. Quantum routing of surface plasmons by two quantum dots
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Lian-Fu Wei, Jin-Song Huang, and Jia-Hao Zhang
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Physics ,business.industry ,Scattering ,Surface plasmon ,Nanowire ,Physics::Optics ,Fano resonance ,Condensed Matter::Mesoscopic Systems and Quantum Hall Effect ,Atomic and Molecular Physics, and Optics ,Quantum dot ,Dispersion relation ,Optoelectronics ,Routing (electronic design automation) ,business ,Quantum - Abstract
The quantum routing of single surface plasmons in a system with two metal nanowires coupled to a pair of quantum dots is investigated theoretically. Real-space Hamiltonians are utilized to obtain the surface-plasmon routing probabilities scattered by two quantum dots in four ports of two nanowire waveguides. Numerical results show that the routing capability of the surface plasmons transmitted from the input channel into another channel can be significantly enhanced, by properly adjusting the interdot distance and the dot-plasmon couplings. Moreover, multi-peak Fano-like resonances are exhibited in the scattering spectra due to the quadratic dispersion relations of the nanowire waveguides. Therefore, the proposed double-dot configuration may provide potential applications in controlling the surface-plasmon routing and Fano-like resonance.
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- 2019
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44. Resource Reuse for D2D Communication in LTE Networks by Efficient Grouping
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Kuo-Chang Ting, Chih-Cheng Tseng, Jia-Hao Xu, Fang-Chang Kuo, and Hwang-Cheng Wang
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business.industry ,Computer science ,020206 networking & telecommunications ,Free-space path loss ,02 engineering and technology ,Reuse ,Computer Science Applications ,Base station ,Interference (communication) ,0202 electrical engineering, electronic engineering, information engineering ,Cellular network ,020201 artificial intelligence & image processing ,Mobile telephony ,Electrical and Electronic Engineering ,business ,5G ,Computer network - Abstract
Device to device (D2D) communication is a key technology of 5G mobile communications. It allows devices to communicate by using direct links, rather than travelling all the way through base stations. It can not only reduce the burden of base station, but also increase the capacity of cellular networks. In order to efficiently use the limited resource blocks (RB), researchers suggest that D2D pairs which can mutually tolerate the induced interference be grouped into a clique and reuse the assigned RBs. As a result the system capacity can be improved. Most methods evaluate SINR in accordance with device locations and free space path loss formula. However, between the two devices of a D2D pair, there may be obstacles which lead to severe signal attenuation. But these obstacles are generally ignored in path-loss formulas. To deal with this problem, we propose a practical approach which evaluates SINR using the reference signal received power reported by devices during the proximity discovery phase.
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- 2019
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45. Kinematics analysis of cutting with dribbling during different approach speeds and cutting directions in soccer
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Chen Yo, Jia Hao Chang, Chien Huang, Chang Wu-Ye, and Tang Yun Lo
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musculoskeletal diseases ,Motion analysis ,Computer science ,business.industry ,05 social sciences ,Biomechanics ,Physical Therapy, Sports Therapy and Rehabilitation ,030229 sport sciences ,Kinematics ,Football ,050105 experimental psychology ,Lower limb ,03 medical and health sciences ,0302 clinical medicine ,Joint angle ,0501 psychology and cognitive sciences ,Orthopedics and Sports Medicine ,Computer vision ,Artificial intelligence ,business - Abstract
We evaluated whether knees and hips are the key regions to anticipate an opponent’s cutting directions by using the kinematics method during different cutting tasks. Eighteen male university divisi...
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- 2019
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46. Pulley-type metallic microring surface plasmon polariton sensor based on Otto-configuration
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Chu En Lin, Jia Hao Liu, Chii Chang Chen, Islam Laadjal, Ya Ru Chang, and Alexis Fischer
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010302 applied physics ,business.product_category ,Materials science ,business.industry ,General Physics and Astronomy ,Physics::Optics ,02 engineering and technology ,Radius ,021001 nanoscience & nanotechnology ,01 natural sciences ,Surface plasmon polariton ,lcsh:QC1-999 ,Pulley ,Metal ,visual_art ,0103 physical sciences ,visual_art.visual_art_medium ,Optoelectronics ,Sensitivity (control systems) ,Resonance wavelength ,0210 nano-technology ,business ,Dielectric waveguides ,Refractive index ,lcsh:Physics - Abstract
In this study, we design a compact sensor with high sensitivity for refractive index change. A pulley-type metallic microring to produce surface plasmon polariton is proposed. The light is coupled onto the metallic microring using a dielectric waveguide. The 2-D finite-difference time-domain method is used to determine the optimal radius of the metallic microring. We also investigate the relation between the radius of the metallic microring and the sensitivity of the refractive index change. The highest sensitivity of 602.69 nm/RIU can be obtained at the resonance wavelength of 1536.7 nm. Keywords: Sensor, Ring resonator, Surface plasmon polariton
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- 2019
47. Antibiotics Attenuate Methamphetamine-Induced Hepatotoxicity by Regulating Oxidative Stress and TLR4/MyD88/Traf6 Axis
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Jing-Tao Xu, Ling-Ling Xu, Li-Bin Wang, Yu-Kui Chen, Xiao-Li Xie, Dong-Ri Li, Jia-Li Liu, Qin-Yao Zhang, Kai-Kai Zhang, Li-Jian Chen, Jie-Tao He, Jia-Hao Li, and Ming Pan
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0301 basic medicine ,hepatotoxicity ,medicine.drug_class ,Antibiotics ,RM1-950 ,Pharmacology ,medicine.disease_cause ,antibiotics ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Western blot ,medicine ,Pharmacology (medical) ,methamphetamine ,Original Research ,Liver injury ,medicine.diagnostic_test ,business.industry ,RT-qPCR ,Neurotoxicity ,Meth ,Methamphetamine ,medicine.disease ,030104 developmental biology ,chemistry ,TLR4 ,Therapeutics. Pharmacology ,RNA-seq ,business ,030217 neurology & neurosurgery ,Oxidative stress ,medicine.drug - Abstract
Methamphetamine (METH) is a major psychostimulant drug of abuse worldwide, and its neurotoxicity has been studied extensively. In addition to neurotoxicity, METH can also induce hepatotoxicity. The underlying mechanism of intestinal microorganisms in METH-induced hepatotoxicity remains unclear. In this study, mice have received antibiotics intragastrically or PBS once each day for 1 week, followed by METH or saline. The antibiotics attenuated METH-induced hepatotoxicity as evidenced by histopathological observation and biochemical analysis; furthermore, they alleviated METH-induced oxidative stress. The effect of antibiotics on METH-induced hepatotoxicity was investigated using RNA-sequencing (RNA-seq). The RNA-seq results demonstrated that antibiotics could regulate 580 differentially expressed genes (DEGs), of which 319 were upregulated after METH treatment and then downregulated with antibiotic pretreatment and 237 were first downregulated after METH administration and then upregulated after antibiotic pretreatment, in addition to 11 upregulated and 13 downregulated ones simultaneously in METH and antibiotic-pretreated groups. RNA-seq analyses revealed that TLR4 is one of the hub genes. Western blot analysis indicated that antibiotics inhibited the increase of TLR4, MyD88 and Traf6 induced by METH. This research suggests that antibiotics may play an important role in preventing METH-induced liver injury by regulating oxidative stress and TLR4/MyD88/Traf6 axis, though further investigation is required.
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- 2021
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48. Cancer-Secreted Exosomal HSPC111 Promotes Colorectal Cancer Liver Metastasis By Reprogramming Lipid Metabolism in Cancer-Associated Fibroblasts
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Jia-Hao Han, Peng Zhang, Jie Fan, Wen-Wei Zhu, Tao-Chen He, Lu Lu, Hu-Liang Jia, Jing Lin, Chong Zhang, Ju-Bo Zhang, Jinhong Chen, Xiang-Yu Wang, and Rui Zhang
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business.industry ,Colorectal cancer ,Cancer research ,Medicine ,Cancer-Associated Fibroblasts ,Cancer ,Lipid metabolism ,business ,medicine.disease ,Reprogramming ,Metastasis - Abstract
Background: Metastasis and metabolic deregulation are two of the major hallmarks of cancer. Recent studies have revealed the critical driving role of metabolic reprogramming of tumor cells to promote colorectal cancer (CRC) metastasis. However, little is known about the metabolic alterations of cancer-associated fibroblasts (CAFs) in the pre-metastatic niche and how these changes facilitate CRC metastasis.Methods: Liquid chromatography-mass spectrometry (LC-MS) and Isobaric Tags for Relative and Absolute Quantitation (i-TRAQ) method were performed to identify the comparative metabolites and proteins expression in CAFs treated with exosomes derived from CRC cells, respectively. Tissue Microarray (TMA) was used to evaluate the level of HSPC111 in patient’s primary CRC tissues with or without liver metastasis. Co-immunoprecipitation (Co-IP), RNA-seq, chromatin immunoprecipitation (ChIP) migration and wound healing assay and immunofluorescence staining were employed to explore the expression regulation mechanism of exosomal HSPC111 in CAFs. Xenograft models were used to determine whether exosomal HSPC111 can remolding pre-metastatic niche of CAFs to promote CRC liver metastasis (CRLM) in vivo.Results: Here, we demonstrate that CRC cell-secreted exosomal HSPC111 induces a lipid metabolism reprogramming process in CAFs. Importantly, our results indicate that CRC patients with liver metastasis had significantly high level of HSPC111 in CRC tissues than CRC patients without liver metastasis. Mechanistically, HSPC111 upregulate the level of acetyl-CoA and histone acetylation by phosphorylating of ATP-citrate lyase (ACLY) in CAFs. This lipid metabolism reprogramming in CAFs facilitates CXCL5 secretion in vitro and pre-metastatic niche formation in the liver to promote CRLM in an exosomal HSPC111-dependent manner in vivo. In addition, conditioned medium (CM) from CAFs induce EMT of CRC cells by down-regulating E-cadherin levels and up-regulating Vimentin and Snail levels, which could be abolished by CXCL5-neutralizing antibody and CXCR2 inhibitor navarixin. Moreover, the HSPC111-ACLY association in CAFs was reinforced by CXCL5-CXCR2 axis, further promoting exosomal HSPC111 secretion from CRC cells to form a feedforward regulatory loop.Conclusion: Our present study reveals a novel insight into the pro-metastatic role of lipid metabolism reprogramming in CAFs and suggests the CXCL5-CXCR2 axis may be a promising target for halting CRLM.
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- 2021
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49. Flexibly modulated Poincaré sphere vector optical field in input and focal planes
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Yun-Jie Xia, Meng-Shuai Wang, Jia-Hao Zhao, Xue-Feng Sun, Xu-Zhen Gao, and Yue Pan
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Physics ,Surface (mathematics) ,Plane (geometry) ,business.industry ,Mathematical analysis ,Degrees of freedom ,02 engineering and technology ,Optical field ,021001 nanoscience & nanotechnology ,Polarization (waves) ,01 natural sciences ,Atomic and Molecular Physics, and Optics ,Flattening ,Physics::Fluid Dynamics ,010309 optics ,Cardinal point ,Optics ,0103 physical sciences ,0210 nano-technology ,business ,Circular polarization - Abstract
We theoretically design and experimentally generate the flexibly modulated Poincaré sphere vector optical field (PS-VOF), which can be constructed by flattening the Poincaré sphere surface. This new kind of PS-VOF provides additional degrees of freedom to modulate the spatial structure of polarization based on Poincaré sphere. The focal property of the PS-VOF is further studied, and we focus on studying the polarization coverage of the Poincaré sphere in the focal plane. In focusing process, the conversion and annihilation of spin angular momentum are presented. In addition, when the proportion of right-handed polarizations from the northern hemisphere of the Poincaré sphere satisfies Golden ratio (0.618) in the input plane, a full PS-VOF with high quality can be achieved in the focal plane. We hope this study of PS-VOF in both input and focal planes can enrich the family of VOFs, provide a new avenue in studying VOFs based on the Poincaré sphere, and can be potentially applied in the regions with sensitivity to polarizations.
- Published
- 2021
50. Elevated circASCC3 Suppresses Antitumor Immunity by Sponging miR-432-5p to Upregulate C5a in Non-small-cell Lung Cancer
- Author
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Shuai Wang, Haikun Wang, Peng-Fei Zhang, Yong-Qiang Ao, Jia-Hao Jiang, Ling-Xian Zhang, Jian-Yong Ding, Miao Lin, Chun Jin, and Jian Gao
- Subjects
Text mining ,Downregulation and upregulation ,Antitumor immunity ,business.industry ,Cancer research ,Medicine ,Non small cell ,business ,Lung cancer ,medicine.disease ,neoplasms ,respiratory tract diseases - Abstract
Background: Tumor invasion and immune evasion are the main mechanisms underlying the progression of non-small-cell lung cancer (NSCLC). In addition, abnormally expressed circular RNAs (circRNAs) contribute to the malignant phenotype of NSCLC. Thus, further investigation of the mechanism of dysregulated circRNAs may provide new insight into the treatment of NSCLC.Methods: circRNA sequencing was used to explore the different expression profiles of circRNAs in 4 NSCLC tissues and paired normal tissues. Then, the expression of key circRNAs in NSCLC tissues and matched normal tissues was further evaluated via in situ hybridization and in cell lines using quantitative real-time polymerase chain reaction (qRT-PCR). Next, in vitro and in vivo models of NSCLC were employed to uncover the functions and mechanisms of key circRNAs in NSCLC progression and treatment.Results: circASCC3 (hsa_circ_0077495) was overexpressed in NSCLC tissues compared to paired normal tissues, and the upregulation of circASCC3 indicated a dismal prognosis in patients with NSCLC. Overexpressed circASCC3 enhanced the malignant phenotype of NSCLC cells in vitro and led to an immunosuppressive microenvironment in vivo. Mechanistically, circASCC3 sponged miR-432-5p to increase the expression of complement C5a, which induced the progression and dysfunctional immune status of NSCLC. Moreover, the combination of the C5aR inhibitor PMX-53 and anti-programmed cell death 1 (PD-1) antibody achieved synergistic effects in NSCLC models overexpressing circASCC3.Conclusion: These results uncover the contributions of circASCC3 to NSCLC progression and immunosuppression and provide a potential strategy for overcoming resistance to anti-PD-1 therapy.
- Published
- 2021
- Full Text
- View/download PDF
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