The contribution of Socio-Economic factors to adoption of inorganic fertilizers among maize farmers in Western Uganda by Dick Chune Midamba, John Atsu Agbolosoo, Fredrick Ochieng Ouya, Mary Kwesiga

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Clustered embedding using deep learning to analyze urban mobility based on complex transportation data. by Sung-Bae Cho, Jin-Young Kim

“…Urban mobility is a vital aspect of any city and often influences its physical shape as well as its level of economic and social development. A thorough analysis of mobility patterns in urban areas can provide various benefits, such as the prediction of traffic flow and public transportation usage. …”
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Optimizing pore pressure prediction in earth dams through the integration of panel data and intelligent models by Behrang Beiranvand, Taher Rajaee, Mehdi Komasi

“…The research focuses on developing a robust pore pressure prediction system for Eyvashan Dam by integrating multiple artificial intelligence techniques—including Feed-Forward Neural Networks (FFNN), Support Vector Regression (SVR), Group Method of Data Handling (GMDH), and Ensemble Artificial Neural Networks (EANN)—with Fuzzy C-Means Clustering (FCM) methodology. …”
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Investigating the dynamics of climate finance disbursements: A panel data approach from 2003 to 2022. by Mohamed Ibrahim Nor

“…This study investigates the intricate dynamics of international multilateral climate finance disbursements from 2003 to 2022 via an extensive dataset from the Climate Funds Update (CFU). By employing panel data econometric models, including pooled ordinary least squares (OLS), fixed effects (FE), and random effects (RE) models, the study elucidates the impact of grants and approved funds on disbursement levels across different income groups. …”
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A three-stage method for analyzing market concentration and airport efficiency in the Yangtze river Delta by Xinsheng Yang, Yang Zhang, Ming Wei

“…To this end, our study proposed a three-stage method combining analytical methodologies and data envelopment analysis (DEA) to analyze the changing trend and correlation of passenger market concentration as well as operational efficiency in ten airports of China’s Yangtze River Delta (YRD) airport group during period from 2011 to 2019, China. …”
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A Tutorial Toolbox to Simplify Bioinformatics and Biostatistics Analyses of Microbial Omics Data in an Island Context by Isaure Quétel, Sourakhata Tirera, Damien Cazenave, Nina Allouch, Chloé Baum, Yann Reynaud, Degrâce Batantou Mabandza, Virginie Nerrière, Serge Vedy, Matthieu Pot, Sébastien Breurec, Anne Lavergne, Séverine Ferdinand, Vincent Guerlais, David Couvin

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Examining translation and interpretation studies in GCC states: data from Web of Science (1991–2023) by Naji Alyami, Mutahar Qassem

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Strategic Guidelines for the Development of the Public Authorities Communication Policy in the Information Society by S. A. Shtrikov

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Quantifying Post-Purchase Service Satisfaction: A Topic–Emotion Fusion Approach with Smartphone Data by Peijun Guo, Huan Li, Xinyue Mo

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Determining Physical Mechanisms of Gene Expression Regulation from Single Cell Gene Expression Data. by Daphne Ezer, Victoria Moignard, Berthold Göttgens, Boris Adryan

“…We construct a complete pipeline for the analysis of single cell qPCR data that uses the mathematics behind bursty expression to develop more accurate and robust algorithms for analyzing the origin of heterogeneity in experimental samples, specifically an algorithm for clustering cells by their bursting behavior (Simulated Annealing for Bursty Expression Clustering, SABEC) and a statistical tool for comparing the kinetic parameters of bursty expression across populations of cells (Estimation of Parameter changes in Kinetics, EPiK). …”
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Patient-generated health data and electronic health record integration: protocol for a scoping review by Victoria L Tiase, William Hull, Mary M McFarland, Katherine A Sward, Guilherme Del Fiol, Catherine Staes, Charlene Weir, Mollie R Cummins

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Dissemination of drinking water contamination data to consumers: a systematic review of impact on consumer behaviors. by Patricia J Lucas, Christie Cabral, John M Colford

“…Studies of any design were included where data were available from a contemporaneous comparison or control group. …”
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Data-knowledge hybrid driven intelligent prediction method of tunnel excavation profiles geometric deformation by Ya Hu, Jingyi Lu, Jun Zhu, Huixin Zhang, Ying Ren, Jianlin Wu, Jianbo Lai, Heng Zhang, Hongyue Zhao, Xiang Zeng

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Using Machine Learning and Nationwide Population-Based Data to Unravel Predictors of Treated Depression in Farmers by Pascal Petit, Vincent Bonneterre, Nicolas Vuillerme

“…By differentiating predictors across farming groups, our results suggest that tailored mental health interventions could be developed to better address the unique needs of various farming populations. …”
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Monitoring water quality parameters using multi-source data-driven machine learning models by Yubo Zhao, Mo Chen, Jinyu He, Yanping Ma

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Global incidence, risk factors, and temporal trends of nasal cancer: A population‐based analysis by Junjie Huang, Wing Sze Pang, Fung Yu Mak, Sze Chai Chan, Veeleah Lok, Lin Zhang, Xu Lin, Don Eliseo Lucero‐Prisno III, Wanghong Xu, Zhi‐Jie Zheng, Edmar Elcarte, Mellissa Withers, Martin C. S. Wong, NCD Global Health Research Group, Association of Pacific Rim Universities (APRU)

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Predictions of Spartina alterniflora leaf functional traits based on hyperspectral data and machine learning models by Wei Li, Xueyan Zuo, Zhijun Liu, Leichao Nie, Huazhe Li, Junjie Wang, Zhiguo Dou, Yang Cai, Xiajie Zhai, Lijuan Cui

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Utilization of lactate trajectory models for predicting acute kidney injury and mortality in patients with hyperlactatemia: insights across three independent cohorts by Yipeng Fang, Ying Zhang, Xuejun Shen, Aizhen Dou, Hui Xie, Yunfei Zhang, Keliang Xie

“…We conducted a multicenter retrospective study using data from three independent cohorts. By the lactate levels during the first 48 h of ICU admission, patients were classified into distinct lactate trajectories using group-based trajectory modeling (GBTM) method. …”
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Addressing the dynamic nature of reference data: a new nucleotide database for robust metagenomic classification by Jose Manuel Martí, Car Reen Kok, James B. Thissen, Nisha J. Mulakken, Aram Avila-Herrera, Crystal J. Jaing, Jonathan E. Allen, Nicholas A. Be

“…This new resource demonstrably reduces errors and improves the reliability of microbial identification across diverse taxonomic groups. Moreover, by providing readily usable indexes, we overcome the size barrier, enabling researchers to leverage the full potential of the nt database for metagenomic analysis. …”
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Measuring the aggregated impact of research: Establishing criteria for coding Translational Science Benefits Model data by Nicole Miovsky, Amanda Woodworth, Stephanie Andersen, Rosalina Das, Julie Heidbreder, Rechelle Paranal, Clara M. Pelfrey, Jessica Sperling, Beth Tigges, Boris B. Volkov, Margaret Schneider

“…Standardizing this process will enable data aggregation, group analysis, and the comparison of research impact across contexts. …”
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