by Dongchao Wang, Xichun Li, Xinrong Duan, Huimin Yang, Baolei Zhang
In the rapid development of air pollution over the past two decades in Shandong Province, it has played a detrimental role, causing severe damage to regional ecological security and public health. There has been little research at the county scale to explore the spatiotemporal causes and heterogeneity of PM2.5 pollution. This study utilizes a Geographically and Temporally Weighted Regression Model (GTWR) to environmentally... Читать дальше...
by Devaraj Acharya, Sushil Sharma, Kristin Bietsch
The focus of this study was on the current enrollment status of the government-funded health insurance (HI) program in Nepal, which is necessary to achieve universal health coverage by 2030. Despite the government’s commitment, the program faces challenges of low enrollment and high dropout rates, hindering progress towards this goal. With a purpose to find out the associated factors for enrollment in HI, the cross-sectional study employs... Читать дальше...
by Yeo Jin Lee, Seungbum Kang, Jae Yon Won, Young Jung Roh, Ho Ra, Mee yon Lee, Sung Pyo Park, Dong Hyun Jee
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by Rawan Ghazzawi, Athanasios Chasiotis, Michael Bender, Lina Daouk-Öyry, Nicola Baumann
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by Xia Deng, Renzeng Shi, Rehab O. Elnour, Zixuan Guo, Junzhu Wang, Wenwen Liu, Guihua Li, Ziwei Jiao
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by Nakul Chandan, Violet Matthews, Hejie He, Thomas Lachlan, Ven Gee Lim, Shivam Joshi, Siew Wan Hee, Angela Noufaily, Edward Parkes, Shilpa Patel, Lazaros Andronis, Joanna Shakespeare, Helen Eftekhari, Asad Ali, Gordon McGregor, Faizel Osman
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by Taehyeong Kim, Kyoungmin Lee, Mookyung Cheon, Wookyung Yu
Understanding time-series interplay of genes is essential for diagnosis and treatment of disease. Spatio-temporally enriched NGS data contain important underlying regulatory mechanisms of biological processes. Generative adversarial networks (GANs) have been used to augment biological data to describe hidden intermediate time-series gene expression profiles during specific biological processes. Developing a pipeline that uses augmented... Читать дальше...
by Ingela Jansson, Arielle W. Parsons, Navinder J. Singh, Lisa Faust, Bernard M. Kissui, Ernest E. Mjingo, Camilla Sandström, Göran Spong
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by Jingzhao Chen, Liming Ding, Tengfei Li
This article explores the dissipative control for a class of nonlinear DP-CPS (distributed parameter cyber physical system) within a finite-time interval. By utilizing a Takagi-Sugeno (T-S) fuzzy model to represent the system’s nonlinear aspects, the studied system is formulated as a class of fuzzy parabolic partial differential equation (PDE). In order to optimize network resources, both the system state and input signal are subjected to quantization using dynamic quantizers. Читать дальше...
by Henintsoa Rakoto Harison, James P. Herrera, O. Sarobidy Rakotonarivo
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by Chandrima Mourin, Muhammad Kamruzzaman Mozumder
BackgroundPerceived injustice is a relatively novel psychosocial construct starting to get some attention among researchers studying health and mental health outcomes. In the context of the widespread perception of being a victim of injustice in Bangladesh, a gap in instruments measuring perceived injustice was evident. The novelty of the construct and lack of similar instruments necessitated the development of a new Perceived Injustice Scale for Bangla speaking population. Читать дальше...
by Azadeh Dehghani, Maryam Rafraf, Fatemeh Mohammadi-Nasrabadi, Rahim Khodayari-zarnaq
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by Alejandro Arenas-Vasco, Juan Carlos Rivera, Maria Gulnara Baldoquín
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by Marjan Mirzania, Elham Shakibazadeh, Meghan A. Bohren, Farah Babaey, Sedigheh Hantoushzadeh, Abdoljavad Khajavi, Abbas Rahimi Foroushani
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by Andrea Rodriguez Quiroga, Juan Segundo Peña Loray, Laura Bongiardino, María Eugenia Malleville, Laura Borensztein, Arantxa Y. Arredondo, Antonia Najas-García, Saskia Ivana Aufenacker, Camila Yosa, María Sol Asencio, Milagros Guido, Marianne Cottin, Camila Botero
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by Miriana d’Alessandro, Paolo Cameli, Caroline V. Cotton, Janine A. Lamb, Laura Bergantini, Sara Gangi, Sarah Sugden, Lisa G. Spencer, Bruno Frediani, Robert P. New, Hector Chinoy, Elena Bargagli, Edoardo Conticini
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by Jessie Howell, Sulochana Omwenga, Melanie Jimenez, Tansy C. Hammarton
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by Beshir Bedru Nasir, Oumer Sada Muhammed, Melaku Tileku Tamiru, Legese Chelkeba
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by Nicolás Castillo-Rodríguez, Ana M. Saldarriaga-Gómez, Rafael Antelo, Mario Vargas-Ramírez
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by Camryn Thompson, Cason Robbins, Rami Gabriel, C. Ellis Wisely, Melissa Daluvoy, Sharon Fekrat
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by Laijun Yan, Haiya Ge, Zhengming Wang, Anping Shen, Qinguang Xu, Ding Jiang, Yuelong Cao
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by Sarah Lawson, Diane Donovan, James Lefevre
The use of graph centrality measures applied to biological networks, such as protein interaction networks, underpins much research into identifying key players within biological processes. This approach however is restricted to dyadic interactions and it is well-known that in many instances interactions are polyadic. In this study we illustrate the merit of using hypergraph centrality applied to a hypernetwork as an alternative. Specifically,... Читать дальше...
by Ayisha Khalid, Jessica Naidu, Tanvir C. Turin
In Canada, the COVID-19 pandemic was initially characterized by emergency government responses that disrupted daily life, especially for marginalized groups. This study explored the vulnerabilities and capacities of international students studying at a university in Calgary, Canada during the first phase of the pandemic. Guided by the Capacities and Vulnerabilities Analysis framework, we thematically analyzed 11 semi-structured interviews with international students. Читать дальше...
by Chan S. Kim, Aaron L. Sayler, Hannah Dean, Nicholas M. Ruel, James R. Hammond
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by Zachary P. Neal
Weighted networks are information-rich and highly-flexible, but they can be difficult to analyze because the interpretation of edges weights is often ambiguous. Specifically, the meaning of a given edge’s weight is locally contingent, so that a given weight may be strong for one dyad, but weak for other dyad, even in the same network. I use backbone models to distinguish strong and weak edges in a corpus of 110 weighted networks, and used the results to examine the magnitude of this ambiguity. Читать дальше...