Improving the spatial deployment of the soil moisture sensors in smart irrigation systems using GIS by Yasser Arafa, Abdel-Ghany M. El-Gindy, Mohammed El-Shirbeny, Mohamed Bourouah, Ahmed M. Abd-ElGawad, Younes M. Rashad, Mohamed Hafez, Mohamed A. Youssef

“…To address this gap, this study aimed to identify the most effective locations for the sensor deployment using the Geographic Information System (GIS) techniques, maximizing the spatial coverage of soil moisture states while minimizing the number of required wireless sensor nodes. …”
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Improving access to cardiovascular care for 1.4 billion people in China using telehealth by Xiaohang Liu, Wei Chen, Yu Qiu, Xiang Li, Fei Liu, Zhili Jiang, Fuwei Jia, Chenggang Wang, Rongrong Ji, Tawquir R. Nawaz, Dingding Zhang, Yong Zeng, Hai Gao, Jeffrey Hsu

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A GRU-Based Model Using GNSS-PWV and Meteorological Data for Forecasting Rainfalls by Longjiang Li, Kefei Zhang, Hong Zhang, Suqin Wu, Dongsheng Zhao, Xiaoming Wang, Andong Hu, Minghao Zhang, Mardina Abdullah

“…As one of the most important parameters for the atmospheric water vapor contents, precipitable water vapor derived from global navigation satellite systems (GNSS) has been a valuable source of information for forecasting rainfall events in recent years due to the distinctive advantages of high accuracy, high temporal–spatial resolution, wide coverage, and low cost of GNSS data. In this study, a new gated recurrent unit (GRU) based model for forecasting rainfall events was developed using training dataset in the nine-year period of 2010−2018 at 54 GNSS stations located in the USA. …”
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Using the WHO building blocks to examine cross-border public health surveillance in MENA by Laura Buback, Shayanne Martin, Esbeydy Pardo, Farah Massoud, Jesus Formigo, Atousa Bonyani, Noha H. Farag, Zayid K. Almayahi, Kenta Ishii, Susie Welty, Dana Schneider

“…Abstract The introduction of the Sustainable Development Goals by the United Nations has set a global target for achieving Universal Health Coverage, requiring resilient health systems capable of addressing public health emergencies and ensuring health security. …”
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Analysing cold-climate urban heat islands using personal weather station data by Jonathon Taylor, Charles H. Simpson, Jaana Vanhatalo, Hasan Sohail, Oscar Brousse, Clare Heaviside

“…In Finland, relatively dense and uniform PWS coverage provides opportunities to evaluate land-use impacts on urban temperatures, energy and population temperature exposures. …”
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Automated snow cover detection on mountain glaciers using spaceborne imagery and machine learning by R. Aberle, E. Enderlin, S. O'Neel, C. Florentine, L. Sass, A. Dickson, H.-P. Marshall, A. Flores

“…Existing snow cover products do not reliably distinguish seasonal snow from glacier ice and firn, preventing their use for glacier snow cover detection. Despite previous efforts to classify glacier surface facies using machine learning on local scales, currently there is no published comparison of machine learning models for classifying glacier snow cover across different satellite image products. …”
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Soil organic carbon estimation using spaceborne hyperspectral composites on a large scale by Xiangyu Zhao, Zhitong Xiong, Paul Karlshöfer, Nikolaos Tziolas, Martin Wiesmeier, Uta Heiden, Xiao Xiang Zhu

“…For the soil data, data was gathered from LfU(Bavarian State Office for the Environment), LfL(Bavarian State Research Center for Agriculture) and LUCAS 2018 (Land Use and Coverage Area Frame Survey). 828 soil samples were selected after data filtering. …”
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Factors affecting the delivery, access, and use of interventions to prevent malaria in pregnancy in sub-Saharan Africa: a systematic review and meta-analysis. by Jenny Hill, Jenna Hoyt, Anna Maria van Eijk, Lauren D'Mello-Guyett, Feiko O Ter Kuile, Rick Steketee, Helen Smith, Jayne Webster

“…We conducted a systematic review to explore factors affecting delivery, access, and use of IPTp and ITNs among healthcare providers and women.…”
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Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

“…Model performance was assessed using evaluation metrics such as accuracy, precision, recall, F1-score, and the Area Under the Curve (AUC) to determine the most effective model for risk prediction. …”
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Native language resources can illuminate global darkspots in utilized plant species and reduce data shortfalls by Tuan Nguyen, Tuan Nguyen, Ana Sofía Monroy-Sais, Gabriela Rabeschini, Gabriela Rabeschini, Esra Per, Mohammed Abdul Kareem

“…We propose that oral and written native language resources could enhance understanding and data coverage of species use, especially in biodiversity darkspots. …”
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Designing the city of the future: comprehensive and gender-inclusive strategies for sustainable urban mobility in the Buenos Aires Metropolitan Area by Lorea Mendiola, Pilar González

“…The inclusion in the analysis of gender interactions, in particular with transportation and land use factors, is a novel contribution to the field, as it allowed us to analyze in depth the extent to which these factors differentially affect the urban mobility of men and women and could, therefore, contribute to widening or narrowing the gender mobility gap.Results and discussionOur findings demonstrated that public transport availability and land-use characteristics primarily affect travel time and distance, with gender-differentiated impacts. …”
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Using Monte Carlo conformal prediction to evaluate the uncertainty of deep-learning soil spectral models by Y.-C. Huang, J. Padarian, B. Minasny, A. B. McBratney

“…Using 39 177 samples from the mid-infrared spectral library of the Kellogg Soil Survey Laboratory to build convolutional neural networks, we found that Monte Carlo dropout itself falls short in achieving the desired coverage – its 90 % prediction intervals only covered the observed values in 74 % of the cases, well below the expected 90 % coverage. …”
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Effect of operational parameters on droplet deposition characteristics using an unmanned aerial vehicle for banana canopy by Jiaxiang Yu, Jiaxiang Yu, Xing Xu, Jieli Duan, Jieli Duan, Yinlong Jiang, Yinlong Jiang, Haotian Yuan, Haotian Yuan, Huazimo Liang, Shuaijie Jing, Shuaijie Jing, Zhou Yang, Zhou Yang, Zhou Yang

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Retrospective Analysis of Healthcare Resource Use, Treatment Patterns, and Treatment-related Events in Patients with Huntington’s Disease–associated Chorea Initiated on Tetrabenazi... by Victor W. Sung, Sanjay K. Gandhi, Victor Abler, Brian Davis, Debra E. Irwin, Karen E. Anderson, Ravi G. Iyer

“… # Objectives To characterize demographic and clinical characteristics of HD patients with chorea based on tetrabenazine use and examine treatment persistence with tetrabenazine in a real-world setting…”
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Mistrust in government and National Health Insurance: A qualitative study of solo private practitioners in Cape Town by Bridget L. Perrow, Helen Schneider

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Use of GLOBE observer citizen science data to validate continental-scale canopy height maps derived from ICESat-2 and GEDI by Mei-Kuei Lu, Sorin C. Popescu, Brian A. Campbell, Brian A. Campbell, Brian A. Campbell

“…These results underscore both the potential and limitations of using citizen science data for validating spaceborne lidar-derived canopy height maps while highlighting the need for enhanced data collection protocols to improve geolocation accuracies for future ecological monitoring efforts.…”
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Relapse prevention group therapy via video-conferencing for substance use disorder: protocol for a multicentre randomised controlled trial in Indonesia by Tomohiro Shinozaki, Ryota Sakamoto, Toshihiko Matsumoto, Chika Yamada, Kristiana Siste, Enjeline Hanafi, Youdiil Ophinni, Evania Beatrice, Vania Rafelia, Peter Alison, Albert Limawan

“…Background Substance use disorder (SUD) is a leading contributor to the global burden of disease. …”
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Assessing Four Decades of Land Use and Land Cover Change: Policy Impacts and Environmental Dynamics in the Min River Basin, Fujian, China by Weixuan Huang, Anil Shrestha, Yifan Xie, Jianwu Yan, Jingxin Wang, Futao Guo, Yuee Cao, Guangyu Wang

“…Land use and land cover change (LULCC) is crucial in sustainable land management. …”
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Sleep, Health Care–Seeking Behaviors, and Perceptions Associated With the Use of Sleep Wearables in Canada: Results From a Nationally Representative Survey by Karianne Dion, Meggan Porteous, Tetyana Kendzerska, Ashley Nixon, Elliott Lee, Massimiliano de Zambotti, Sheila N Garland, Mandeep Singh, Gino De Luca, Samuel Gillman, Andrée-Ann Baril, Dave Gallson, Rebecca Robillard

“…ResultsAmong the 1200 respondents (n=636, 53% female; aged 16 to 88 years), 19.3% (n=231) reported using a wearable device to monitor sleep. Several sociodemographic variables were associated with an increased likelihood of using wearables including: youth, being retired, being part of a racialized minority group, earning a higher income, having greater health care coverage, having a sleep disorder, and having a mental disorder (χ214PF1,1151P2F1,1143P2F1,1119P2χ22Pχ23PF1,1165P ConclusionsOne in 5 Canadians acknowledged having used sleep wearables. …”
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Monitoring measles infections using flight passenger dynamics in Europe: A data-driven approach by Chiara Romano, Francesco Branda, Fabio Scarpa, Giovanna Jona Lasinio, Massimo Ciccozzi

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