Impact of violence on emotional exhaustion risk of registered nurses in Germany: a Bayesian analysis of cross-sectional data with multiple imputations by Alessandro Campione, Cornelia Henschke

“…Clinical trial number Not applicable.…”
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Integrating data-driven and physics-based approaches for robust wind power prediction: A comprehensive ML-PINN-Simulink framework by Rajaperumal T. A, Christopher Columbus Chinnappan

“…To bridge the gap between pure data-driven learning and physical realism, a Physics-Informed Neural Network was subsequently integrated to combine data-driven learning with physical constraints, using both observational data and physics-based synthetic datasets. …”
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A Comprehensive Data Description for LoRaWAN Path Loss Measurements in an Indoor Office Setting: Effects of Environmental Factors by Nahshon Obiri, Kristof van Laerhoven

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MS2Lipid: A Lipid Subclass Prediction Program Using Machine Learning and Curated Tandem Mass Spectral Data by Nami Sakamoto, Takaki Oka, Yuki Matsuzawa, Kozo Nishida, Jayashankar Jayaprakash, Aya Hori, Makoto Arita, Hiroshi Tsugawa

“…<b>Conclusions</b>: MS2Lipid is a highly accurate machine learning model that enhances lipid subclass annotation from MS/MS data and provides an independent criterion.…”
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Comparative analysis of single-view and multiple-view data collection strategies for detecting partially-occluded grape bunches: Field trials by Mar Ariza-Sentís, Hilmy Baja, Sergio Vélez, Rick van Essen, João Valente

“…While most research concentrates on data processing algorithms, this study focused on the preceding step: collecting reliable data. …”
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Local Climate Zones and urban morphology dataset to support numerical modelling in Greece, utilizing GIS, multispectral, and SAR dataZenodo by Ilias Agathangelidis, Christos Giannaros, Constantinos Cartalis, Vassiliki Kotroni, Kostas Lagouvardos

“…Overall, this dataset enables accurate description and modelling of urban environments and can be used across various applications, marking a significant step towards creating an open-access national urban dataset for Greece.…”
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PubMed captures more fine-grained bibliographic data on scientific commentary than Web of Science: a comparative analysis by Kai Zhang, Shuang Wang, Jian Du

“…Background Research commentaries have the potential for evidence appraisal in emphasising, correcting, shaping and disseminating scientific knowledge.Objectives To identify the appropriate bibliographic source for capturing commentary information, this study compares comment data in PubMed and Web of Science (WoS) to assess their applicability in evidence appraisal.Methods Using COVID-19 as a case study, with over 27 k COVID-19 papers in PubMed as a baseline, we designed a comparative analysis for commented-commenting relations in two databases from the same dataset pool, making a fair and reliable comparison. …”
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Integrated brain tumor segmentation and MGMT promoter methylation status classification from multimodal MRI data using deep learning by Muhammad Sohaib Iqbal, Usama Ijaz Bajwa, Rehan Raza, Muhammad Waqas Anwar

“…While still at the research stage, it provides insights into tumor sub-regions and MGMT promoter status, highlighting the role of AI-driven methods in assessing molecular data. Future studies and clinical validation are needed to further explore its applicability in real-world clinical settings.…”
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Automatic Detection of Urban Trees from LiDAR Data Using DBSCAN and Mean Shift Clustering Methods in Fatih, Istanbul by Z. Cetin, N. Yastikli

“…Urban trees can be quickly and automatically determined using 3-dimensional (3D) LiDAR point cloud data. The objective of this study is to acquire trees in densely populated areas of large cities using raw LiDAR data. …”
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Soil moisture estimation underneath crop cover using high incidence angle C-band Sentinel-1 SAR data by Hari Shanker Srivastava, Thota Sivasankar, Madhuri Dilip Gavali, Parul Patel

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Determining Average Available Workdays for Roadway Construction Projects Using Long-Term Weather Data—A Case Study for Alabama by Esthefany Marien Mejia Reyes, Xing Fang, Michael A. Perez

“…Excel spreadsheet tools with Visual Basic for Applications (VBA) programs were developed to process the downloaded long-term weather data with two different formats. …”
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A Comparative Study of Downscaling Methods for Groundwater Based on GRACE Data Using RFR and GWR Models in Jiangsu Province, China by Rihui Yang, Yuqing Zhong, Xiaoxiang Zhang, Aizemaitijiang Maimaitituersun, Xiaohan Ju

“…Currently, observations of groundwater storage changes in Jiangsu Province face issues such as low spatial resolution, limited applicability of the downscaling models, and insufficient water resource observation data. …”
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Evaluation of globally gridded precipitation data and satellite-based terrestrial water storage products using hydrological drought recovery time by Ç. Çakan, Ç. Çakan, M. T. Yımaz, H. Dobslaw, E. S. Ince, F. Evrendilek, C. Förste, A. L. Yagci

“…To validate these station-based precipitation products, additional independent data sources are necessary. This study aims to assess the performance of the Global Precipitation Climatology Centre (GPCC) Full Data Monthly Product v2022 and Global Precipitation Climatology Project (GPCP) v3.2 Monthly Analysis Product by estimating the hydrological drought recovery time (DRT) from precipitation and the terrestrial water storage anomaly (TWSA) acquired from satellite gravimetry. …”
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Machine Learning (AutoML)-Driven Wheat Yield Prediction for European Varieties: Enhanced Accuracy Using Multispectral UAV Data by Krstan Kešelj, Zoran Stamenković, Marko Kostić, Vladimir Aćin, Dragana Tekić, Tihomir Novaković, Mladen Ivanišević, Aleksandar Ivezić, Nenad Magazin

“…Yield variations from 1.41 to 6.42 t/ha strengthen model robustness with diverse data. The ML approach is automated using PyCaret, which optimized and evaluated 25 regression models based on 65 vegetation indices and yield data, resulting in 66 feature variables across 400 observations. …”
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Estimation of Potato Growth Parameters Under Limited Field Data Availability by Integrating Few-Shot Learning and Multi-Task Learning by Sen Yang, Quan Feng, Faxu Guo, Wenwei Zhou

“…While deep learning has demonstrated remarkable advancements in estimating crop growth parameters, the limited availability of field data often compromises model accuracy and generalizability, impeding large-scale regional applications. …”
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Association of triglyceride glucose and obesity indices with chronic obstructive pulmonary disease in US adults: data from 2013 to 2018 NHANES by Jinzhan Chen, Ayun Chen, Shuwen Yang, Fuhan Zhang, Hongni Jiang, Jiaxin Liu, Congyi Xie

“…Clinical trial number Not applicable.…”
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Safety and accuracy of digitally supported primary and secondary urgent care telephone triage in England: an observational study using routine data by Vanashree Sexton, Catherine Grimley, Jeremy Dale, Helen Atherton, Gary Abel

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Boreal tree species classification using airborne laser scanning data annotated with harvester production reports, and convolutional neural networks by Raul de Paula Pires, Christoffer Axelsson, Eva Lindberg, Henrik Jan Persson, Kenneth Olofsson, Johan Holmgren

“…By integrating HPRs into the modelling process, this approach provides a practical solution for addressing challenges in remote sensing data annotation for forestry applications. The ALS data were acquired in managed Norway spruce-dominated forests in southern Sweden using a dual-wavelength system composed by two monochromatic sensors. …”
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Machine learning models integrating dietary data predict all-cause mortality in U.S. NAFLD patients: an NHANES-based study by Pinchu Chen, Yao Li, Chenfenglin Yang, Qifan Zhang

“…Clinical trial number Not applicable.…”
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A Novel Supervoxel-Based NE-PC Model for Separating Wood and Leaf Components from Terrestrial Laser Scanning Data by Shengqin Gong, Xin Shen, Lin Cao

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