Machine-learning-based reconstruction of long-term global terrestrial water storage anomalies from observed, satellite and land-surface model data by N. Mandal, P. Das, K. Chanda, K. Chanda

“…The workflow involves identifying optimal predictors from land surface model (LSM) outputs, meteorological variables and climatic indices using a novel Bayesian network (BN) technique for raster-based TWSA simulations. …”
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Retrospective study of bovine besnoitiosis in the Auvergne Rhône-Alpes region in France by Tiphaine Lahondes, Nuno Carolino, Nuno Carolino, Sérgio Ramalho Sousa, Helga Waap, Helga Waap, Elisabete Gomes Martins

“…The milk samples were tested in certified laboratories using an indirect ELISA (ID Screen® Besnoitia Milk Indirect, IDVET laboratory). …”
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Impact of breeder seed multiplication and certified quality seed distribution on rice production in India by Gogineni S. V. Prasad, Chilukuri S. Rao, Kota Suneetha, Kalambur Muralidharan, E. A. Siddiq

“…Correlation and regression analyses were used to find the relationships between BS, certified quality seed distributed (CQSD), and milled rice production. …”
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Advancing geodynamic research in Antarctica: reprocessing GNSS data to infer consistent coordinate time series (GIANT-REGAIN) by E. Buchta, M. Scheinert, M. A. King, M. A. King, T. Wilson, A. Koulali, P. J. Clarke, D. Gómez, E. Kendrick, C. Knöfel, C. Knöfel, P. Busch, P. Busch

“…The coordinate time series were obtained from a combination of four independent processing solutions using different GNSS software and products, allowing the identification of inconsistencies in individual solutions. …”
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First De Novo genome assembly and characterization of Gaultheria prostrata by Yan-Jun Lin, Xiao-Ya Ding, Yi-Wei Huang, Yi-Wei Huang, Lu Lu

“…Utilizing 47.94 Gb of high-quality sequence data (108.95× coverage), assembled into 114,436 scaffolds, with an N50 length of 33,667 bp. …”
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Body Mass Index, Comorbidities, and Ambulatory Care Visits: The REGARDS Study by Emily B. Levitan, Aowen Zhu, Vera Bittner, Todd M. Brown, Michael E. Farkouh, Mariam Girguis, Lei Huang, Elizabeth A. Jackson, Suzanne E. Judd, Shannon Rhodes, Monika M. Safford, Jennifer L. Strande, Min‐Jung Wang, Mark Woodward, D. Leann Long

“…Methods and Results Among REGARDS (Reasons for Geographic and Racial Differences in Stroke) cohort study participants with Medicare fee‐for‐service coverage (n=9648), we identified ambulatory visits over 5 years. …”
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Changes of the ecological environment status in villages under the background of traditional village preservation: a case study in Enshi Tujia and Miao Autonomous Prefecture by Fu Li, Huiqiong Xia, Jie Miao, Jialin Yang

“…This model was used to analyze the spatial–temporal changes in the ecological environment status of each county, county-level city, and traditional village within the jurisdiction of Enshi Tujia and Miao Autonomous Prefecture and its surrounding areas from 2010 to 2020. …”
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Alterações na temperatura do ar mediante telas nas laterais de ambientes protegidos cultivados com tomateiro Changes in air temperature due to side screens of greenhouses cultivate... by Larissa A Duarte, Edgar R Schöffel, Marta E. G Mendez, Euclides Schallenberger

“…Four greenhouses cultivated with tomato and all covered with polyethylene of low density (PEBD) in the superior part were used. Three of these environments were covered laterally, each one with a different kind of screen: clarite insect-proof screens (12 meshes per cm), citros insect-proof screens (25 meshes per cm) and afideo insect-proof screens (50 meshes per cm). …”
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Dual Role of Quercetin in Promoting Early Wound Healing via Inhibiting Inflammatory Factors and Attenuating Scar Formation by Suppressing Myofibroblast Differentiation by Dan Wu, Mengyuan Jiang, Jing Zhang

“…Wound closure kinetics were meticulously quantified using planimetry. To assess molecular and cellular changes, protein levels (CASPASE-1, interleukin-1 beta (IL-1β), alpha-smooth muscle actin (α-SMA)) and collagen III/I ratios were determined through multiplex qPCR, RNA sequencing, western blot analysis, and histomorphometry. …”
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Unraveling Spatial Nonstationary and Nonlinear Dynamics in Life Satisfaction: Integrating Geospatial Analysis of Community Built Environment and Resident Perception via MGWR, GBDT,... by Di Yang, Qiujie Lin, Haoran Li, Jinliu Chen, Hong Ni, Pengcheng Li, Ying Hu, Haoqi Wang

“…This study addresses these gaps by utilizing multi-scale geographically weighted regression (MGWR) to assess the spatial nonstationarity of subject perceptions and built environment factors while employing gradient-boosting decision trees (GBDT) to capture their nonlinear relationships and incorporating eXtreme Gradient Boosting (XGBoost) to improve predictive accuracy. Using geospatial data (POIs, social media data) and survey responses in Suzhou, China, the findings reveal that (1) proximity to business facilities (β = 0.41) and educational resources (β = 0.32) strongly correlate with satisfaction, while landscape quality shows contradictory effects between central (β = 0.12) and peripheral zones (β = −0.09). (2) XGBoost further quantifies predictive disparities: subjective factors like property service satisfaction (R² = 0.64, MAPE = 3.72) outperform objective metrics (e.g., dining facilities, R² = 0.36), yet objective housing prices demonstrate greater stability (MAPE = 3.11 vs. subjective MAPE = 6.89). (3) Nonlinear thresholds are identified for household income and green space coverage (>15%, saturation effects). …”
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Integrated soil moisture fusion for enhanced agricultural drought monitoring in China by Aifeng Lv, Xianglei Yang, Wenxiang Zhang, Yan Han

“…In this study, we developed an improved soil moisture dataset (Merged-SM) by using Triple Collocation (TC) and Linear Weight Fusion (LWF) methods to fuse soil moisture data from ERA5-Land, ESA CCI, and MERRA-2. …”
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Time trend of measles burden on children and adolescents in BRICS-plus countries from 1990 to 2021 and prediction to 2032 by Hongxia Yuan, Hongxia Yuan, Bingju Yan, Yiran Chong, Le Wang, Yong Jiang

“…The burden of measles will continue to decrease in the next decade, and increasing vaccination coverage in high-burden countries will help achieve the goal of measles elimination.…”
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Impact of radiation dose to immune cells on survival in patients with esophageal cancer receiving neoadjuvant chemoradiotherapy: a retrospective analysis by Junfeng Zhao, Kang Wang, Ying Li, Xinying Hu, Haoyu Liu, Jingjing Zhao, Li Li, Shuanghu Yuan

“…Kaplan–Meier and Cox proportional hazards regression analyses were used to estimate overall survival (OS) and DFS. Results The 182 patients included in the study had a mean EDRIC of 5.41 ± 1.70 Gy and an EDRIC cut-off value of 6.86 Gy. …”
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Analysis of Health Literacy Levels and Influencing Factors of Chronic Disease Patients under Active Health Perspective by LI Wanyu, FU Qiangqiang, JIN Hua, YU Dehua

“…A general information questionnaire was used to collect demographic and clinical data, and a health literacy scale was applied to assess the health literacy levels of the respondents. …”
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Clinical and Demographic Characteristics of Hospitalized Pediatric Measles Cases; The 2023 Outbreak in Northern Jordan by Alsulaiman JW, Kheirallah KA, Alrawashdeh A, Abu Sanad Z, Al-Mnayyis AM, Yassin A, Rawabdeh MI, Alzoubi H

“…Data on demographics, vaccination status, symptoms, complications, management, and outcomes were analyzed using descriptive statistics and comparisons between vaccinated/unvaccinated groups.Results: Of 63 hospitalized children, 61.9% were under one year old, and 49.2% were male. …”
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Impact of latitudinal position and ice cover on wave and temperature dynamics in the Laptev Sea and the Sea of Okhotsk by Kovalev, Dmitry P., Kovalev, Peter D, Borisov, Aleksander S., Zarochintsev, Vitaly S., Kirillov, Konstantin V.

“…This study presents a comparative analysis of wave and temperature conditions in the Laptev Sea and the Sea of Okhotsk (Mordvinov Bay), based on long-term observations of the sea level and temperature fluctuations, which were obtained using autonomous recorders ARV-14 and RBR. In the Laptev Sea, the gauge was placed at 75.20° N, near the critical latitude of 74.5°, resulting in the amplification of the semidiurnal M2 tidal harmonic. …”
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Cognitive-matrix analysis of research on primary health care development in the Russian Federation for the period from 2012 to 2022 by S. A. Orlov, R. N. Shepel, D. V. Voshev, D. O. Savchenko, D. A. Gellekh, А. B. Gorlov, K. S. Mezhidov, M. V. Turlay, A. V. Sentsova, L. M. Zhamalov, A. V. Kontsevaya, O. M. Drapkina

“…A database of 41824 publications was used, for which a triple review was carried out with the involvement of 9 experts selected according to appropriate criteria for level of education, work experience in the healthcare system, and academic credentials. …”
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Progressive Collapsing Foot Deformity 1AB: Comparison in Patients Treated with Medializing Calcaneal Osteotomy and Lateral Column Lengthening with and without Soft Tissue Reconstru... by Julian Manuel Parma, Maria Gala Santini-Araujo MD, Julieta Brue MD, Virginia M. Cafruni MD, Daniel Villena MD, Ana Cecilia Parise MD, Pablo Sotelano MD, Leonardo Conti MD, Marina Carrasco MD

“…Clinical assessment was conducted using the AOFAS score. Demographic data were collected. …”
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A long-term, high-accuracy and seamless 1km soil moisture dataset over the Qinghai-Tibet Plateau during 2001–2020 based on a two-step downscaling method by Yulin Shangguan, Xiaoxiao Min, Nan Wang, Cheng Tong, Zhou Shi

“…To address this issue, this study generated the long-term, high-accuracy and seamless soil moisture dataset (LHS-SM) over the QTP during 2001–2020 using a two-step downscaling method (first downscaling then merging). …”
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Auto-Segmentation and Auto-Planning in Automated Radiotherapy for Prostate Cancer by Sijuan Huang, Jingheng Wu, Xi Lin, Guangyu Wang, Ting Song, Li Chen, Lecheng Jia, Qian Cao, Ruiqi Liu, Yang Liu, Xin Yang, Xiaoyan Huang, Liru He

“…<b>Methods</b>: A total of 166 patients were used to train a 3D Unet model for segmentation of the gross tumor volume (GTV), clinical tumor volume (CTV), nodal CTV (CTVnd), and organs at risk (OARs). …”
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