A Smart IoT Urban Flood Monitoring System Using a High-Performance Pressure Sensor with LoRaWAN by Matthew Christian L. Te, Joaquin Antonio T. Bautista, Shaquille Michael Edward V. Dimacali, Angelo Victor M. Lood, Marina Graciella M. Pangan, Alvin Y. Chua

“…Moreover, each of the parts was modeled, simulated, and tested in ANSYS and evaluated with simulated real-world physical and environmental conditions. …”
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Machine learning-based prediction of celiac antibody seropositivity by biochemical test parameters by Signe Ulfbeck Schovsbo, Michael Charles Sachs, Margit Kriegbaum, Anne Ahrendt Bjerregaard, Line Tang Møllehave, Susanne Hansen, Bent Struer Lind, Tora Grauers Willadsen, Allan Linneberg, Christen Lykkegaard Andersen, Line Lund Kårhus

“…Biochemical tests may be used in risk-identification of CD to reduce the diagnostic delay, and we aimed to explore prediction models for CD antibody seropositivity. We developed two prediction models in a cohort study using data from primary care in greater Copenhagen (2006–2015). …”
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High-Resolution Wellbore Temperature Logging Combined with a Borehole-Scale Heat Budget: Conceptual and Analytical Approaches to Characterize Hydraulically Active Fractures and Gro... by Guillaume Meyzonnat, Florent Barbecot, José A. Corcho-Alvarado, Antoine Tognelli, Hermann Zeyen, Alexandra Mattei, Renald McCormack

“…Under certain hydraulic or pumping conditions, both inflow intensities and associated temperatures can also be directly modelled from temperature data and the use of the heat budget. …”
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Combined approach to strategic analysis of the financial condition of organizations by E. V. Berezhnaya, A. V. Savtsova, N. V. Zelensky

“…The proposed approach was tested using open data for 2022-2023. The authors modified the revenue / profit matrix by A. …”
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Trends in functional limitations among middle-aged and older adults in the Asia-Pacific: survey evidence from 778,507 observations across six countriesResearch in context by Marie Ishida, Sumit Kane, Teralynn Ludwick, Victoria Fan, Ajay Mahal

“…Age-standardized prevalence was used to assess prevalence trends in functional limitations and their distribution across sex and age. Multivariate linear probability models were used to examine whether the patterns still hold when controlling for birth cohorts and socioeconomic and demographic factors. …”
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Tracing the Galactic Origins of Selected Four G-type Stars in the Solar Neighborhood by Deniz Cennet Çınar, Selçuk Bilir, Timur Şahin, Olcay Plevne

“…By combining high-resolution spectroscopy from PolarBase, photometric/astrometric data from Gaia DR3, and spectral energy distribution modeling, we derive precise stellar parameters, chemical abundances, kinematics, and Galactic orbital parameters. …”
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Healthcare access and socio-demographic determinants of estimated 10-year risk of cardiovascular diseases in Indonesia: A population-based study. by Sujarwoto Sujarwoto, Asri Maharani, Devarsetty Praveen, Anna Palagyi, Prem S G Kumar, Seye Abimbola, Gindo Tampubolon, Anushka Patel

“…This study aimed to estimate the distribution of the estimated 10-year risk of CVD and the associated socio-demographic factors and healthcare access in Indonesia. …”
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Cross-Sectional and Longitudinal Assessment of Sociodemographic and Lifestyle Determinants of Metabolic Syndrome and Hypertriglyceridemic Waist Phenotypes in 139,634 Spanish Worker... by Joan Obrador de Hevia, Ángel Arturo López-González, José Ignacio Ramírez-Manent, Carla Busquets-Cortés, Pedro Juan Tárraga López, Pere Riutord-Sbert

“…Despite their clinical relevance, data on their distribution and determinants in large occupational populations remain limited. …”
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UK poSt Arthroplasty Follow-up rEcommendations (UK SAFE): what does analysis of linked, routinely collected national datasets tell us about mid–late term revision risk after knee r... by Andrew Judge, Sarah R Kingsbury, Nigel K Arden, Rafael Pinedo-Villanueva, Lindsay K Smith, Cesar Garriga, Antonella Delmestri, Martin Stone

“…CPRD GOLD-HES data covered 1995–2011 on 17 378 KR. Patients had minimum 5 years postprimary surgery to end 2016. …”
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Morpho-photometric Classification of KiDS DR5 Sources Based on Neural Networks: A Comprehensive Star–Quasar–Galaxy Catalog by Hai-Cheng Feng, Rui Li, Nicola R. Napolitano, Sha-Sha Li, J. M. Bai, Yue Dong, Ran Li, H. T. Liu, Kai-Xing Lu, Zhi-Wei Pan, Mario Radovich, Huan-Yuan Shan, Jian-Guo Wang, Wen-Zhe Xi, Ling-Hua Xie, Zun-Li Yuan, Yang-Wei Zhang

“…We train the network on a spectroscopically confirmed sample from the Sloan Digital Sky Survey crossmatched with KiDS. The trained model achieves 98.76% overall accuracy on an independent testing data set, with F1-scores exceeding 95% for each class. …”
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Bringing Machine Learning Classifiers Into Critical Cyber-Physical Systems: A Matter of Design by Burcu Sayin, Tommaso Zoppi, Nicolo Marchini, Fahad Ahmed Khokhar, Andrea Passerini

“…However, classifiers are inherently prone to misclassifications, especially when they encounter unfamiliar, previously unseen or out-of-distribution input data. This creates significant challenges for their deployment in critical Cyber-Physical Systems (CPSs)—such as autonomous vehicles, industrial control systems, and medical devices—where misclassifications can lead to severe consequences for people, infrastructure, and the environment. …”
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A Phenomenological Study of the Semantic Representation of Leisure Experience among Adolescent Girls of Different Social Classes by parvaneh alaie, Fahimeh Vajde

“…The interviews continued until theoretical saturation was reached, and obtained data were manually analyzed using the seven-step Claysey method. …”
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Developing supervised machine learning algorithms to classify lettuce foliar tissue samples into interpretation zones for 11 plant essential nutrients by Patrick Veazie, Hsuan Chen, Kristin Hicks, Jake Holley, Nathan Eylands, Neil Mattson, Jennifer Boldt, Devin Brewer, Roberto Lopez, Brian Whipker

“…Machine learning can be utilized to develop algorithms to accurately classify new information using models developed on known data from a training dataset. …”
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Integrating GIS-based AHP and groundwater quality assessment to delineate groundwater potential zones in the Rontu Watershed, West Nusa Tenggara, Indonesia by Pascalia Vinca Alvando, Dede Rohmat, Faizal Immaddudin Wira Rohmat, Dasapta Erwin Irawan, Abdullah Husna, Wendi Harjupa, Fauzan Ikhlas Wira Rohmat, Mutiara Indah Nur Rohman

“…This study investigates the spatial distribution and quality of groundwater in the Rontu Watershed, West Nusa Tenggara, Indonesia. …”
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Latent profiles of body composition indices and their associations with cardiovascular diseases, hypertension, and diabetes: results from the Fasa Adult Cohort study (FACS) by Mehdi Sharafi, Fatemeh Sadat Razavi, Najibullah Baeradeh, Pezhman Bagheri, Afsaneh Rousta, Sima Afrashteh, Maryam Shiravani, Elham Haghjoo

“…Method This cross-sectional study utilized baseline data from the Fasa Adult Cohort Study (FACS), which included 4,661 participants aged 35 to 70 years. …”
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Dynamic gas supply mechanism and theoretical production modes of free gas-rich deep coal reservoirs by Shida CHEN, Taiyuan ZHANG, Dazhen TANG, Hao XU, Shu TAO, Song LI, Shuling TANG

“…Based on the test and assay data of cores from exploration wells, this study systematically analyzed the theoretical production of deep CBM resources. …”
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Length of Stay and Associated Factors in the Neonatal Intensive Care Units in Central Saudi Arabia: A Retrospective Study by Abdullah Al-Nafeesah, Ashwaq AlEed

“…Modified Poisson regression models were generated, providing relative risk and a 95.0% confidence interval. …”
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Regional insights into the relationship between metabolic associated steatotic liver disease and chronic kidney disease: a socioeconomic perspective on disease correlation by Jiang Bai, Lijuan Zhang, Mingyan Zhang, Yifan Hao, Zhen Yi, Yun Zhou

“…Methods This analysis integrates MASLD and country-level CKD data from the Global Burden of Disease study 2021. …”
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Socioecological correlates of perceived cooking skills among Spanish adolescents: the EHDLA study by Carlos Hermosa-Bosano, José Francisco López-Gil, José Francisco López-Gil

“…A chi-squared test and generalized linear models with binomial distribution were used to examine associations.ResultsPerceptions of cooking skills varied among adolescents; 16.3% rated their cooking skills as very adequate. …”
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Preparation of land subsidence susceptibility map using machine learning methods based on decision tree (case study: Isfahan–Borkhar) by Negar Ghasemi, Iman Khosravi, Ali Bahrami

“…Advanced machine learning methods, namely Decision Tree (DT), Random Forest (RF), and Extreme Gradient Boosting (XGBoost) are employed to develop a susceptibility map divided into five probability classes: very high, high, medium, low, and very low. The analysis incorporates 145 Sentinel-1 radar satellite images and factors such as elevation, groundwater levels, rock composition, vegetation cover and fault proximity. …”
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