COVID-19 morbidity in Afghanistan: a nationwide, population-based seroepidemiological study by Siyu Chen, Fatima Arifi, Mohammad Nadir Sahak, Sayed Ataullah Saeedzai, Lisa J White, Amal Barakat, Eman Abdelkreem Aly, Margo van Gurp, Giti Azim, Bahara Rasoly, Soraya Safi, Jennifer A Flegg, Nasar Ahmed, Mohmmad Jamaluddin Ahadi, Niaz M Achakzai, Alaa AbouZeid

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Predicting Iran Cooperative Development Bank's Profit/Loss: Two-stage Collective Learning by Seyed Bagher Fattahi, Seyed Mozafar Mirbargkar, Ebrahim Chirani, Mohammadreza Vatanparast

“…Employing machine learning for profit and loss prediction is a novel approach to numerical computations, aligning with the article's goal of leveraging big data. Hence, we employ a two-stage collective learning method utilizing Support Vector Machines, Decision Trees, and Weighted Averaging models for learning, testing, and predicting the profit/loss of the Cooperative Development Bank. …”
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Hydrological insights: Comparative analysis of gridded potential evapotranspiration products for hydrological simulations and drought assessment by Mohammed Abdallah, Ke Zhang, Sudhir Kumar Singh, Mukhtar Jibril Abdi, Ayman M. Elameen, Almutaz A.A. Mohammed, Hussam Eldin Elzain

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Bioinformatics services for analyzing massive genomic datasets by Gunhwan Ko, Pan-Gyu Kim, Youngbum Cho, Seongmun Jeong, Jae-Yoon Kim, Kyoung Hyoun Kim, Ho-Yeon Lee, Jiyeon Han, Namhee Yu, Seokjin Ham, Insoon Jang, Byunghee Kang, Sunguk Shin, Lian Kim, Seung-Won Lee, Dougu Nam, Jihyun F. Kim, Namshin Kim, Seon-Young Kim, Sanghyuk Lee, Tae-Young Roh, Byungwook Lee

“…In Korea, the amount of genomic data has been increasing rapidly in the recent years. Leveraging these big data requires researchers to use large-scale computational resources and analysis pipelines. …”
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The relationships of metals exposure and disturbance of the vaginal microbiota with the risk of PROM: Results from a birth cohort study by Dongyang Zhang, Rui Dong, Tingting Jiang, Shiwei Ren, Xinyu Yue, Muxin Zhai, Siyu Jiang, Bingxia He, Ran Tang, Yujie Deng, Wenjie Lyu, Baojing Zhao, Fangbiao Tao, Yuanyuan Yang, Zongzhi Yin, Zhen Yu, Dongmei Ji, Chunmei Liang

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Emergence of Carbapenem-Resistant <i>bla</i>_POM-1 Harboring <i>Pseudomonas otitidis</i> Isolated from River Water in Ghana by Frederick Ofosu Appiah, Samiratu Mahazu, Isaac Prah, Taira Kawamura, Yusuke Ota, Yohei Nishikawa, Mitsunori Yoshida, Masato Suzuki, Yoshihiko Hoshino, Toshihiko Suzuki, Tomoko Ishino, Anthony Ablordey, Ryoichi Saito

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The association between gestational selective serotonin reuptake inhibitor (SSRI) treatment and newborn thyroid screen: a large-scale cohort study by Orian Raviv, Yael Lebenthal, Michal Yackobovitch-Gavan, Eyal Cohen-Sela, Shlomo Almashanu, Ronella Marom, Jacky Herzlich, Liran Hiersch, Avivit Brener

“…The Israeli NBS Program thyroid dataset [total thyroxine (TT4) obtained between 36‐72 h after delivery] was linked with the electronic medical records of mothers and their infants born at Lis Maternity and Women's Hospital, to generate a unified database. The MDClone big data platform was utilized to extract maternal, perinatal, and neonatal characteristics from the medical records of mother-infant dyads. …”
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A deep learning algorithm to generate synthetic computed tomography images for brain treatments from 0.35 T magnetic resonance imaging by Luca Vellini, Flaviovincenzo Quaranta, Sebastiano Menna, Elisa Pilloni, Francesco Catucci, Jacopo Lenkowicz, Claudio Votta, Michele Aquilano, Andrea D’Aviero, Martina Iezzi, Francesco Preziosi, Alessia Re, Althea Boschetti, Danila Piccari, Antonio Piras, Carmela Di Dio, Alessandro Bombini, Gian Carlo Mattiucci, Davide Cusumano

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Digital technologies for water use and management in agriculture: Recent applications and future outlook by Carlos Parra-López, Saker Ben Abdallah, Guillermo Garcia-Garcia, Abdo Hassoun, Hana Trollman, Sandeep Jagtap, Sumit Gupta, Abderrahmane Aït-Kaddour, Sureerat Makmuang, Carmen Carmona-Torres

“…It examines key water-related challenges - scarcity, pollution, inefficient use and climate change - and shows how various digital technologies such as Remote Sensing, Artificial Intelligence, the Internet of Things, Big Data, Robotics, Smart Sensors and Blockchain can help address them. …”
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Combining UAV Remote Sensing with Ensemble Learning to Monitor Leaf Nitrogen Content in Custard Apple (<i>Annona squamosa</i> L.) by Xiangtai Jiang, Lutao Gao, Xingang Xu, Wenbiao Wu, Guijun Yang, Yang Meng, Haikuan Feng, Yafeng Li, Hanyu Xue, Tianen Chen

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Automated multidimensional deep learning platform for referable diabetic retinopathy detection: a multicentre, retrospective study by Chi Pui Pang, Weiqi Chen, Mingzhi Zhang, Tsz Kin Ng, Yi Zheng, Guihua Zhang, Jian-Wei Lin, Ji Wang, Jie Ji, Ling-Ping Cen, Peiwen Xie, Yongqun Xiong, Hanfu Wu, Dongjie Li

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An improved statistical bias correction method for Global Climate Model (GCM) precipitation projection: A case study on the CMCC-CM2-SR5 model projection in China’s Huaihe River Ba... by Yuning Luo, Ke Zhang, Wen Wang, Xinyu Chen, Jin Feng, Haijun Wang, Wei Liu, Cheng Guo, Cuiying Chen, Xiaozhong Wang

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Integrated analysis of the prevalence and influencing factors of poststroke dysphagia by Xiaopeng Wen, Baochao Fan, Jie Zhan, Hao Wen, Huihui Ban, Yujiao Yang, Chenyang Tao, Cui Li, Kunbin Li, Liming Lu

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Individual participant data meta-analysis of trials comparing frozen versus fresh embryo transfer strategy (INFORM): a protocol by Lan N Vuong, Rui Wang, Ben W Mol, Rong Li, Karin Hammarberg, Kate Brian, Yun Sun, Pollyanna Hardy, Anja Pinborg, Siladitya Bhattacharya, Sacha Stormlund, David J McLernon, Zi-Jiang Chen, Richard S Legro, Carlos Simon, Shimona Lai, Marian G Showell, Daimin Wei, Ze Wang, Keliang Wu, Xavier Santamaría, Christophe Blockeel, Femke Mol, Anna P Ferraretti, Bruce S Shapiro, Forest C Garner, Christos A Venetis, Abha Maheshwari, Gwenda Burns

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A new multi-grid bathymetric dataset of the Gulf of Naples (Italy) from complementary multi-beam echo sounders by F. Foglini, M. Rovere, R. Tonielli, G. Castellan, G. Castellan, M. Prampolini, M. Prampolini, F. Budillon, M. Cuffaro, G. Di Martino, V. Grande, S. Innangi, M. F. Loreto, L. Langone, F. Madricardo, A. Mercorella, P. Montagna, C. Palmiotto, C. Pellegrini, A. Petrizzo, L. Petracchini, A. Remia, M. Sacchi, D. Sanchez Galvez, A. N. Tassetti, F. Trincardi

“…<p>High-resolution bathymetry provides critical information to marine geoscientists. Bathymetric big data help characterise the seafloor and its benthic habitats, understand sedimentary records, and support the development of offshore engineering infrastructures. …”
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Structural damage-driven brain compensation among near-centenarians and centenarians without dementia by Hui Tang, Haichao Zhao, Hao Liu, Jiyang Jiang, Nicole Kochan, Jing Jing, Henry Brodaty, Wei Wen, Perminder S. Sachdev, Tao Liu

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Effects of pyrazosulfuron-ethyl on caudal fin regeneration in zebrafish larvae by Chenkai Ge, Zhijun Ye, Weitao Hu, Jingrong Tang, Huimin Li, Fasheng Liu, Xinjun Liao, Jianjun Chen, Shouhua Zhang, Zigang Cao

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Scaling and intermittent properties of oceanic and atmospheric <i>p</i>CO₂ time series and their difference in a turbulence framework by K. Robache, F. G. Schmitt, Y. Huang, Y. Huang

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Impact of bedroom light exposure on glucose metabolic markers and the role of circadian-dependent meal timing: A population-based cross-sectional study by Qi Li, Yu-xiang Xu, Xiu-zhen Lu, Yu-ting Shen, Yu-hui Wan, Pu-yu Su, Fang-biao Tao, Xin Chen, Ying Sun

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Long-term exposure to fine particulate matter components with obesity in children and adolescents in China: The age-sex disparities and key effect modifiers by Jinling Wang, Xinyi Li, Guannan Bai, Rachel Huxley, Kejia Hu, Jinna Yuan, Xuelian Zhou, Xiaochi Zhang, Ke Huang, Guanping Dong, Wei Wu, Bingyan Cao, Rongxiu Zheng, Chunlin Wang, Haiyan Wei, Yan Liang, Hui Yao, Feihong Luo, Pin Li, Zhe Su, Ruimin Chen, Shaoke Chen, Jingsi Luo, Hongwei Du, Mireguli. Maimaiti, Jianwei Zhang, Yu Yang, Min Zhu, Qi Zhao, Junfen Fu

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