Winter Wheat Yield Prediction and Influencing Factors Analysis Based on FourierGNN–Random Forest Combined Modeling by Jianqin Ma, Yijian Chen, Bifeng Cui, Yu Ding, Xiuping Hao, Yan Zhao, Junsheng Li, Xianrui Su

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Class VI Database project: Drill-stem test data from Sweetwater County, Wyoming, USAMendeley Data by Abdeldjalil Latrach, Lily J. Jackson, Christian Martinez

“…For each DST, we provide both the digitized raw DST time-series data and in-situ reservoir pressures calculated using Horner’s analysis. …”
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Quantitative Analysis of Predictors of Acoustic Materials for Noise Reduction as Sustainable Strategies for Materials in the Automotive Industry by Bianca-Mihaela Cășeriu, Manuela-Rozalia Gabor, Petruța Blaga, Cristina Veres

“…The study is based on real experimental data, collected through acoustic measurements performed by the authors on materials from six different classes and employs a multidisciplinary approach, including Mann–Whitney U tests, Kruskal–Wallis analysis with Dunn’s post hoc multiple comparisons and multilinear regression. …”
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A Comparison of Data Quality Frameworks: A Review by Russell Miller, Sai Hin Matthew Chan, Harvey Whelan, João Gregório

“…This mapping enabled a gap analysis that highlights the presence or absence of specific data quality dimensions across the examined frameworks. …”
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ENHANCING R&D IN TAIWANESE SMALL AND MEDIUM ENTERPRISES: AN ANALYSIS OF POST COVID-19 BUSINESS SURVIVAL STRATEGIES by Robert Stalone Buwule, Tony Kuo

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A Review of Data Models and Frameworks in Urban Environments in the Context of AI by H. Patricia McKenna

“…This review paper provides a comprehensive review and analysis of the research and practice literature relating to data models and frameworks pertaining to urban and other AI-rich environments, extending to the planetary environment. …”
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ANALYSIS OF FACTORS AFFECTING THE ABSORPTION OF FEMALE LABOR IN CENTRAL JAWA by Abibita Hamdhal Santosa, Siti Aisyah

“…This research seeks to examine the determinants of female employment absorption in Central Java from 2019 to 2023. The analysis applies panel data regression with a Fixed Effect Model (FEM) to capture the influence of each explanatory variable. …”
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Impact of energy poverty on human capital: a cross-sectional analysis of the rural households in Kano State, Nigeria by Hassan Nuhu Wali, Tanima Dutta, Badayi Sani, Jibril Mohamed Shiekh Isak

“…Descriptive statistics and the Tobit regression model were utilized for data analysis. The paper develops a Multidimensional energy poverty index based on reviewing the existing literature to suit rural households in Nigeria. …”
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Physical Health Portrait and Intervention Strategy of College Students Based on Multivariate Cluster Analysis and Machine Learning by Rong Guo, Rou Dong, Ni Lu, Lin Yu, Chaoxian Chen, Yonglin Che, Jiajin Zhang, Jianke Yang

“…This study employs an improved K-means algorithm integrated with machine learning models to analyze university students’ fitness data and develop personalized health intervention strategies. …”
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Computational Analysis Method for Multi-subject Behavior in Public Spaces Based on Targeted Computer Vision Tracking by Chao YAN, Siyan LIU, Shanshu HE, Leiqing XU

“…Therefore, future development using human pose tracking is essential for more refined analysis. …”
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Mapping the Science World with Correlated Topic Modeling Analysis from Science-Related Posts on the Reddit Platform by Semanur Gürsoy, Merve Yalçın, Özcan Özyurt

“…The world of science is being reshaped every day with the continuation of studies in the fields of science and technology. However, the development of technology causes the amount of data that cannot be processed with traditional methods on technological platforms to increase day by day. …”
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Enhancing Geothermal Anomaly Detection with Multi-Source Thermal Infrared Data: A Case of the Yangbajing–Yangyi Basin, Tibet by Chunhao Li, Na Guo, Yubin Li, Haiyang Luo, Yexin Zhuo, Siyuan Deng, Xuerui Li

“…This study develops a multi-source thermal infrared approach to enhance geothermal anomaly detection using Landsat 8 and ASTER land surface temperature (LST) data. …”
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Socio-economic and Geo-Map analysis of the role of reuse and recycling management in reducing daily waste production by A. Ratnadewati, E. Gravitiani, N. Widiastuti

“…Not only that, the management of reduce, reuse, and recycle waste is also taken into account in the decrease in the amount of daily waste production.METHODS: This study identifies spatial distribution through a Geo-Map literature analysis with Vosviewer. The study also examines the influence of social, economic, and spatial factors and the existence of reduce, reuse and recycle waste management sites with daily waste production using Ordinary Least Square Regression using 2022 cross-section data in 34 provinces in Indonesia.FINDINGS: The results showed that variables with a probability value of α < 0.05 for urban population, Area Size, and Life Expectancy had a significant positive influence on daily waste production. …”
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Multi-Modal Social Media Analysis via SHAP-Based Explanation: A Framework for Public Art Perception by Tianhao Guo, Zhengyang Lu, Feng Wang

“…We propose a multi-modal framework integrating visual and linguistic analysis: visual content undergoes ResNet-152 feature extraction and Qwen-7B-Chat captioning, while textual data is processed through hierarchical topic modeling and sentiment classification. …”
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Wood Energy and Rural Planning: An Analysis of Land Use Policies in the Siting and Regulation of Forest-Based Bioenergy Technologies by Sarah Mittlefehldt, Erin Bunting, Joseph Welsh, Emily Silver, Mya Curth, Mari McClure, Bradley Neumann

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Development of a Fifteen-Minute City Index Using Walkability Scores and Age-Classified Population: The Case of Pasig City, Metro Manila, Philippines by Carlo Angelo R. Mañago, Marielle G. Nasalita, Cesar V. Saveron, Ynah Andrea D. Sunga, Alexis Richard C. Claridades

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Building a FAIR data ecosystem for incorporating single-cell transcriptomics data into agricultural genome to phenome research by Muskan Kapoor, Enrique Sapena Ventura, Amy Walsh, Alexey Sokolov, Nancy George, Sunita Kumari, Nicholas J. Provart, Benjamin Cole, Marc Libault, Timothy Tickle, Wesley C. Warren, James E. Koltes, Irene Papatheodorou, Irene Papatheodorou, Doreen Ware, Doreen Ware, Peter W. Harrison, Christine Elsik, Galabina Yordanova, Tony Burdett, Christopher K. Tuggle

“…Developing data tools connecting these resources would offer significant advantages to the agricultural genomics community. …”
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Advancing social value analysis: challenges and opportunities to understanding social outcomes in the United States and in the United Kingdom by Diana Bozhilova

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Safety and Effectiveness of a Biosimilar Recombinant Growth Hormone in Adults with Growth Hormone Deficiency: Analysis of Final Data from PATRO Adults, an International Post-Market... by Beck-Peccoz P, Höybye C, Simsek S, Stalla G, Murray RD, Esmael A, Urosevic D, Boldea A, Zabransky M

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The Persistent Threat of Chronic Inflammation on the Mortality Among Cervical Cancer Survivors: A Mendelian Randomization and Machine Learning Analysis Using UK Biobank and Chinese... by Wang J, Chen Z, Guan M, Ma Z, Peng L, Chen J, Fiori PL, Carru C, Capobianco G, Coradduzza D, Zhou L

“…The cohort study findings reveal the persistent impact of inflammation on cervical cancer prognosis, highlighting the crucial role of chronic inflammation when investigating the biomarkers of cervical cancer progression and developing pharmacological interventions. The GBM model consistently achieved satisfactory performance in cervical cancer prognosis prediction with demographics and CIMs, meriting further validation and potential clinical implementation.Keywords: cervical cancer, Mendelian randomization, colocalization analysis, machine learning, inflammation, overall survival…”
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