A Multimodal Data-Driven Framework for Enhanced Wheat Carbon Flux Monitoring by Xiaohua Chen, Ying Du, Dong Han

“…This study constructs a multimodal model framework to estimate wheat carbon flux using MODIS data products, including the Leaf Area Index (LAI), the Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and meteorological data products. …”
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The mechanomyographic dataset of hand gestures harvested using an accelerometer and gyroscopeMendeley Data by Khalid A. Abbas, Mofeed Turky Rashid, Luigi Fortuna

“…The dataset is obtained from integrated sensor data, capturing mechanical signals from muscle activity via the accelerometer, augmented by the gyroscope for motion analysis. …”
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A Digital Tool for Clinical Evidence–Driven Guideline Development by Studying Properties of Trial Eligible and Ineligible Populations: Development and Usability Study by Shahzad Mumtaz, Megan McMinn, Christian Cole, Chuang Gao, Christopher Hall, Magalie Guignard-Duff, Huayi Huang, David A McAllister, Daniel R Morales, Emily Jefferson, Bruce Guthrie

“…The external validity of RCTs for the clinical population is constrained by the lack of tailored epidemiological data analysis designed for this purpose due to data governance, consistency of disease or condition definitions, and reduplicated effort in analysis code. …”
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Personalized prediction of esophageal cancer risk based on virtually generated alcohol data by Oswald Ndi Nfor, Pei-Ming Huang, Ming-Fang Wu, Ke-Cheng Chen, Ying-Hsiang Chou, Mong-Wei Lin, Ji-Han Zhong, Shuenn-Wen Kuo, Yu-Kwang Lee, Chih-Hung Hsu, Jang-Ming Lee, Yung-Po Liaw

“…Methods This study aimed to develop a personalized risk prediction model for EC by integrating genetic polymorphisms (rs671 and rs1229984) with virtually generated alcohol consumption data, utilizing advanced artificial intelligence and machine learning techniques. …”
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Modeling the Community-Based Development Approach in Neighborhood Development Planning with Structural Equation Methods (Case Study: Golkaran Neighborhood of Abarkouh City) by hasan kabouri, seyed ali almodaresi, mohammad hossin ramesht, mohammad mehdi karim nejad, malihe zakerian

“…This model examines the interrelationships and interactions of variables and the degree of effectiveness and effectiveness of each other.The results of data analysis using the model of structural equations show that having a community-based approach to neighborhood development has a direct and significant effect on promoting neighborhood development.…”
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Explaining neural networks for detection of tropical cyclones and atmospheric rivers in gridded atmospheric simulation data by T. Radke, S. Fuchs, C. Wilms, I. Polkova, I. Polkova, I. Polkova, M. Rautenhaus, M. Rautenhaus

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Decoding development: the AI frontier in policy crafting: A systematic review by Sofiarti Dyah Anggunia, Jesse Sowell, María Pérez-Ortiz

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A multimodal experimental dataset on agile software development team interactions by Diego Miranda, Carlos Escobedo, Dayana Palma, Rene Noel, Adrián Fernández, Cristian Cechinel, Jaime Godoy, Roberto Munoz

“…Studying collaborative dynamics in agile development teams requires multi- modal data that captures verbal and non-verbal communication. …”
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Measuring the outcomes of volunteering for education: development and pilot of a tool to assess healthcare professionals’ personal and professional development from international v... by Natasha Tyler, Carlos Collares, Ged Byrne, Lucie Byrne-Davis

“…Internal consistency was evaluated by the Cronbach’s α coefficient. Exploratory analysis investigated the structure of the data using principal component analysis and multivariate item response theory.Results Exploratory analysis found 10 principal components that explained 71.80% of the variance. …”
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Non-adherence to surgical antibiotic prophylaxis guidelines: findings from a mixed-methods study in a developing country by Noha Ali, Ranim Hamouda, Rana Tarek, Menna Abdelhamid, Abdullah Lashin, Rania Hassan, Rania Gamal, Mourad Elfaham, Aya Attia, Ahmed Abdelaleem, Noha Sakna, Amgad Gamal, Sally Aboelenin, Rahma AbdelHafez, Sara Abdelkader, Ashraf Nabhan

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3-D fracture network reconstruction and quantitative fractal analysis of subsurface rock fractures via integrated CT scanning and box-counting dimension methodology by Hongjian Wu, Xiangwei Kong, Xing Chen, Dianwei Guan

“…Second, this research is the first to develop a coupled poroelastic-fracture model incorporating Analytic Hierarchy Process (AHP)-based size deviation indices, achieving permeability prediction errors of ≤ 4.84 % compared to experimental data, substantially improving upon existing models' typical 8–12 % error margins. …”
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Using Geospatial Information Tools to Plan Green Infrastructures in Response to Climate Changes: Examples from Bucharest, Romania and Chisinau, Moldova by Alexandru-Ionuț Petrișor, Eugeniu Braguța, Andrian Țugulea, Antonio-Valentin Tache, Olga Harea, Vladimir Mogîldea, Oana-Cătălina Popescu, Diana Andronovici, Iurie Bejan

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Smart data in healthcare marketing: linking digital transformation to patient behavior and branding by Mohammad Farid Ashouri, Mehrdad Tarassoli

“…Data analysis was conducted using SPSS version 23 and SmartPLS version 3. …”
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Survey of IP geolocation: theory, methods, and innovative applications by LIU Xueting, TAI Wenxin, ZHOU Fan, WANG Yong, CHEN Kai

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Research on the Parametric Design and Application of Ceramic Modeling Based on Python by Zhenjie Wang, Longyao Xu, Jing Dai, Chengqian Zeng, Yu Zhong, Liyan Liu, Shuanghua Wang

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Lung Cancer Detection Utilizing Mixed Sensor Based Electronic Nose by Umit Ozsandikcioglu, Ayten Atasoy, Yusuf Sevim

“…Throughout this study, 338 experiments were conducted using breath samples. Data dimension reduction was achieved using linear discriminant analysis and principal component analysis algorithms. …”
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Crowdsourced Indicators of Flora and Fauna Species: Comparisons Between iNaturalist Records and Field Observations by Hyuksoo Kwon, Bumsuk Seo, Jungin Kim, Heera Lee

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Optimization for threat classification of various data types-based on ML model and LLM by Chaerim Hong, Taeyeon Oh

“…In this study, we applied scaling and normalization techniques to the Post News data to improve bias, and we used syntax analysis, semantic analysis, and data flow information to perform an integrated analysis of the source code to improve detection performance. …”
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Three-Dimensional Particle-Discrete Datasets: Enabling Multidimensional Particle System Characterization Using X-Ray Tomography by Ralf Ditscherlein, Urs A. Peuker

“…The research further introduces innovative sample preparation techniques for particle collectives, aiming to reduce post-processing efforts in image analysis. Additionally, the development of a particle database, aligned with FAIR data principles (Findable, Accessible, Interoperable, and Reusable), supports data sharing and collaborative research. …”
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Do Spatial Trajectories of Social Media Users Imply the Credibility of the Users’ Tweets During Earthquake Crisis Management? by Ayse Giz Gulnerman

“…Our findings highlight the value of spatial analysis in enhancing the reliability of SM data (SMD) during crisis events. …”
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