Meteorological Drivers and Agricultural Drought Diagnosis Based on Surface Information and Precipitation from Satellite Observations in Nusa Tenggara Islands, Indonesia by Gede Dedy Krisnawan, Yi-Ling Chang, Fuan Tsai, Kuo-Hsin Tseng, Tang-Huang Lin

“…The low error rates and the ability to capture the spatial distribution of droughts, especially in open-land vegetation, highlight the potential of these models to provide an estimation of agricultural drought.…”
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A comparison of the costs and patterns of expenditure for care for severe mental illness in five countries with different levels of economic development by A-La Park, Oliver Jez, Reinhold Kilian, Ashleigh Charles, Jasmine Kalha, Palak Korde, Max Lachmann, Candelaria Mahlke, Galia Moran, Juliet Nakku, Fileuka Ngakongwa, Jackline Niwemuhwezi, Rebecca Nixdorf, Grace Ryan, Donat Shamba, Mike Slade, Tamara Waldmann

“…This is done by investigating diagnosis-related and sociodemographic factors for country-specific medical and psychosocial service use in these high, lower-middle and low-income countries. Methods Using data from the Using Peer Support In Developing Empowering Mental Health Services (UPSIDES) study, a pragmatic randomized controlled trial, costs for medical and psychosocial services have been estimated over 6 months in 615 people with severe mental illness from Germany (n = 171), Uganda (n = 138), Tanzania (n = 110), India (n = 93) and Israel (n = 103). …”
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Independent prognostic importance of endothelial activation and stress index (EASIX) in critically ill patients with heart failure: modulating role of inflammation by Fang Yin, Kai Wang

“…This research sought to explore this relationship.MethodsMIMIC-IV database (version 3.1) was utilized to provide clinical data. Due to the non-normal distribution, EASIX was logarithmic. …”
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A multi-analytical approach to unveil Early Bronze Age population dynamics and metal exchange networks at the foot of Mount Vesuvius by Maria De Falco, Paola Aurino, Claudio Cavazzuti, Chiara Lucarelli, Caterina Canovaro, Federico Lugli, Alessandra Sperduti, Viola Cecconi, Ivana Angelini, Gilberto Artioli, Anna Cipriani

“…Conversely, Sr isotope data indicate that these prestigious and exotic objects were deposited within a context of low human mobility. …”
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Causal Discovery in Astrophysics: Unraveling Supermassive Black Hole and Galaxy Coevolution by Zehao Jin, Mario Pasquato, Benjamin L. Davis, Tristan Deleu, Yu Luo, Changhyun Cho, Pablo Lemos, Laurence Perreault-Levasseur, Yoshua Bengio, Xi Kang, Andrea Valerio Macciò, Yashar Hezaveh

“…Correlation does not imply causation, but patterns of statistical association between variables can be exploited to infer a causal structure (even with purely observational data) with the burgeoning field of causal discovery. …”
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Evaluation of the Accuracy and Applicability of Reanalysis Precipitation Products in the Lower Yarlung Zangbo Basin by Anqi Tan, Ming Li, Heng Liu, Liangang Chen, Tao Wang, Binghui Yang, Min Wan, Yong Shi

“…Consequently, findings underscore the necessity for terrain-sensitive calibration and data fusion strategies in mountainous regions to improve precipitation products and hydrological modeling under orographic influence.…”
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Optimisation of heat transfer in the absorber tube of a cylindroparabolic trough solar collector by Fares Touaref, Istvan Seres, Istvan Farkas

“…The novelty of this research lies in its integrated CFD framework combining absorber geometry optimisation, seasonal thermal stress modelling, and material degradation analysis using real climatic data. …”
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Impacts of climate change and sea-level rise on the coastal geological environment of Quang Nam province, Vietnam by Nguyen Yen T. N., Doan Phuong T. K., Vo Duong N., Nguyen Quan T., Nguyen Phong C.

“…In this study, the MIKE SHE, MIKE 21 FM, and MIKE FLOOD models were applied for calibration (1980–2000) and validation (2001–2016). …”
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Impact of seawater intrusion in the coastal aquifers and its effects on agriculture in the delta region of Tamil Nadu by Mohamed Tharik, Sai Saraswathi Vijayaraghavalu

“…The hydrogeochemical data suggests that Ca-Cl type, Ca-Mg-Cl type ^− are predominant water types in the study area. …”
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Anteseden pemanfaatan insentif PPh final UMKM di masa pandemi by Usman Nur Hamzah

“…The data analysis method uses structural equation modeling (SEM) with 147 respondents as the research sample. …”
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AI-Driven Handover Management and Load Balancing Optimization in Ultra-Dense 5G/6G Cellular Networks by Chaima Chabira, Ibraheem Shayea, Gulsaya Nurzhaubayeva, Laura Aldasheva, Didar Yedilkhan, Saule Amanzholova

“…Furthermore, the paper discusses the integration of intelligent handover and load balancing methods in smart city scenarios, where ultra-dense networks must support diverse services with high reliability and low latency. Key research gaps are also identified, including the need for standardized datasets, energy-efficient AI models, and context-aware mobility strategies. …”
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Outcomes of interventions to optimize linkage to HIV care and antiretroviral therapy (ART) initiation after HIV self-testing: A scoping review by Patience A. Muwanguzi, Paul Kuodi Otiku, Blessings Gausi, Tom Denis Ngabirano, Scovia Nalugo Mbalinda, Mobolanle Balogun, Derrick Tembi Efie, Charles Peter Osingada

“…The intervention strategies reported were classified into four main categories: technology-assisted interventions, innovative HIV self-testing kits distribution mechanisms, financial incentive, social entrepreneurship models, and the use of key community opinion leaders and social media influencers. …”
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eDNA Sampling Detects Early Colonization of Spotted Lanternfly Lycorma delicatula Better Than In‐Person Scouting in an Urban Landscape by Daiyanera Kelsey, Jonathan Lee‐Rodriguez, Andy Michel, Christopher M. Ranger, Luis Canas, Ashley Leach

“…Environmental DNA (eDNA) can provide early detection and insight into the distribution of this new pest. SLF is often found in association with tree‐of‐heaven (Ailanthus altissima), near rail lines, and in disturbed areas; however, further data is needed to understand how these factors increase the risk of spotted lanternfly detection. …”
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Envisioning urban environments resilient to vector-borne diseases: a protocol to study dengue in Vietnam by Praveen Kumar, Thanh H. Nguyen, Phong V.V. Le, Jinhui Yan, Lei Zhao, Brian F. Allan, Andrew W. Taylor-Robinson

“…Coupled with human population distribution (density, locations), atmospheric conditions (air temperature, precipitation), and hydrological conditions (soil moisture distribution, ponding persistence in topographic depressions), modeling has improved predictive ability for infection rates. …”
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Large-scale epidemiology of opisthorchiasis in 21 provinces in Thailand based on diagnosis by fecal egg examination and urine antigen assay and analysis of risk factors for infecti... by Kulthida Y Kopolrat, Chanika Worasith, Phattharaphon Wongphutorn, Anchalee Techasen, Chatanun Eamudomkarn, Jiraporn Sithithaworn, Watcharin Loilome, Nisana Namwat, Attapol Titapun, Chaiwat Tawarungruang, Bandit Thinkhamrop, Samarn Futrakul, Simon D Taylor-Robinson, Melissa R Haswell, Narong Khuntikeo, Thomas Crellen, Paiboon Sithithaworn

“…We collected risk factors for O. viverrini infection using standardized questionnaire surveys. The data were analyzed with regression models which correlated individual-level explanatory variables against i) infection status with O. viverrini and ii) the intensity of infection, as measured by the antigen assay or FECT.…”
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A deep learning and IoT-driven framework for real-time adaptive resource allocation and grid optimization in smart energy systems by Arvind R. Singh, M. S. Sujatha, Akshay D. Kadu, Mohit Bajaj, Hailu Kendie Addis, Kota Sarada

“…Traditional energy management methods, based on static models or heuristic algorithms, often fail to handle real-time grid dynamics, leading to suboptimal energy distribution, high operational costs, and significant energy wastage. …”
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Handgrip Strength has Declined Among Adults, Particularly Males, from Shanghai Since 2000 by Dao Wang, Yang Liu, Justin J. Lang, Marilyn G. Klug, Ryan McGrath, Grant R. Tomkinson

“…We also observed a negligible trend (ES < 0.20) in distributional asymmetry among adults with low adjusted HGS (below the 25th percentile) and a small decline (ES = 0.20−0.49) in adults with high adjusted HGS (above the 75th percentile). …”
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The Sero-epidemiology of Coxiella burnetii in Humans and Cattle, Western Kenya: Evidence from a Cross-Sectional Study. by Nicola A Wardrop, Lian F Thomas, Elizabeth A J Cook, William A de Glanville, Peter M Atkinson, Claire N Wamae, Eric M Fèvre

“…Evidence suggests that the intracellular bacterial pathogen Coxiella burnetii (which causes Q fever) is widespread, with a near global distribution. While there has been increasing attention to Q fever epidemiology in high-income settings, a recent systematic review highlighted significant gaps in our understanding of the prevalence, spatial distribution and risk factors for Q fever infection across Africa. …”
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Urban Tree Canopy Mapping and Analysis Using Iterative Annotation Method and Deep Learning: A Case Study in Beijing by Yulong Ding, Ximin Cui, Zhengchao Chen, Zeqing Wang, Debao Yuan, Xiang Meng, Xuan Yang, Yue Xu, Xiangyu Tian

“…Urban trees have significant ecological and social functions, and generating urban tree canopy (UTC) maps is an effective method for understanding their distribution. However, existing studies primarily rely on medium-resolution to low-resolution imagery for large-scale extraction or high-resolution imagery for small-scale extraction, making it challenging to balance spatial coverage and accuracy. …”
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Trends in Antibiotic Resistance in Uropathogens at Mbarara Regional Referral Hospital (2019&amp;ndash;2024): A Retrospective Study by Bazira J, Pauline Petra N, Nakato CN, Walekhwa AW, Nakazibwe B, Kawuma S

“…Isolates were identified, and antimicrobial susceptibility testing was performed using the disc diffusion method. Data on patient demographics, uropathogen distribution, and resistance trends of organisms with greater than or equal to 25 isolates were analyzed using Python-based statistical methods, including Chi-square and Mann–Kendall trend analysis.Results: Escherichia coli was the most isolated pathogen, accounting for 428 isolates (45.6%), followed by Klebsiella spp. with 385 isolates (41.0%) while Citrobacter spp. and Enterococcus spp. contributed 42 (4.5%) and 26 (2.8%) isolates, respectively. …”
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