The role of protein-phenolic interactions in the formation of red wine colloidal particles by Matteo Marangon, Valentina Marassi, Fulvio Mattivi, Christine Mayr Marangon, Luigi Moio, Barbara Roda, Luca Rolle, Maurizio Ugliano, Andrea Versari, Sara Zanella, Andrea Curioni

“…Asymmetrical Flow-Field Flow Fractionation (AF4) with online multidetection was used to isolate and characterise red wine colloids in their native state, revealing diverse colloidal populations across wines. …”
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Variants in candidate genes and their interactions with smoking on the risk of acute coronary syndrome by Liliana Franco, Natalia Gallego, Cristian Velarde, Diana Valencia, Juan Pablo Pérez-Bedoya, Kelly Betancur, Kelly Marisancen, Paola Parra, Santiago Carvalho, Luisa Parra, Evert Jiménez, Carlos Martínez, Clara Saldarriaga, Juan Carlos Arango, Nathalia González-Jaramillo, Jenny García, Ana Valencia

“…Multiple genetic and environmental factors interact with the development of acute coronary syndrome. …”
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LLM-Based Response Generation for Korean Adolescents: A Study Using the NAVER Knowledge iN Q&A Dataset with RAG by Junseo Kim, Seok Jun Kim, Junseok Ahn, Suehyun Lee

“…The RAG-based model employed FAISS for similarity-based retrieval of the top three reference cases and used GPT-4o mini for response generation. The responses generated with and without RAG were evaluated using several metrics. …”
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The paradoxes of application of the legislation on personal data by N. A. Bobrova

“…Analysis of these acts shows that the rules aimed at preserving the confidentiality of official information regulate the following aspects of the functioning of state and municipal bodies, institutions and organizations: (a) ensuring access to official information; (b) providing state and municipal services; (c) document flow and record keeping; (d) staffing; (e) anti-corruption; (f) use of information systems; (g) interaction with the media; (h) prevention of conflicts of interest.The study load cannot be attributed to the personal data, that requires the consent of the teacher to be processed. …”
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Accelerating visual field loss with age: A statistical approach using a large-scale real-world dataset by Tomoki Shirakami, Tetsuro Omura, Hiroki Fukuda, Ryo Asaoka, Masaki Tanito

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An approach that utilizes blockchain to effectively and securely preserve data privacy for location data from IoT in smart cities by D. Rawal, J. Seedorf, B. Patil

“…Environmental surveillance, emergency response, and smart city planning all require the use of geospatial data, which includes satellite imagery, cartographic records, and real-time GPS coordinates. …”
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Impact of Elderly Acute Care Discharge Services on Prevention of Rehospitalisation: A Retrospective Cohort Study Using National Health Data from Kita Ward, Tokyo by Masumi Takei, Satoshi Miyata, Mariko Inoue, Kenzo Takahashi

“…Methods: A retrospective cohort study was conducted using national health data from Kita Ward, Tokyo. …”
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An observational post-authorization study to assess the effectiveness of a single dose Ad26.COV2.S for the prevention of COVID-19 using real-world data by Amelia Boehme, Raymond A. Harvey, Ann Madsen, Lexie Rubens, Astra Toyip, Michael Batech, Deborah Ricci, Mawuli Nyaku

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Association of composite dietary antioxidant index and endometriosis risk in reproductive—age women: a cross-sectional study using big data-machine learning approach by Wenxin Chen, Kui Xiao, Chenyu Zhou, Jiajia Cheng, Zixuan Zeng, Fang Zhang

“…This study aims to explore the relationship between CDAI and EM risk using data from the National Health and Nutrition Examination Survey (NHANES), potentially guiding dietary interventions for EM prevention.MethodsThis study analyzed data from the NHANES spanning 1999 to 2006. …”
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A Review of Data Models and Frameworks in Urban Environments in the Context of AI by H. Patricia McKenna

“…Elements of focus include the very definition, along with the nature and stability, of the concept of AI itself; consideration of the notion of “open” in an AI context; data sharing, exchange, access, control, and use; and associated challenges and opportunities. …”
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What Helps to Detect What? Explainable AI and Multisensor Fusion for Semantic Segmentation of Simultaneous Crop and Land Cover Land Use Delineation by Saman Ebrahimi, Saurav Kumar

“…This study introduces two novel explainable AI frameworks, Interclass-Grad-CAM and Spectral-Grad-CAM, designed to enhance the interpretability of semantic segmentation models for Crop and Land Cover Land Use (CLCLU) mapping. Interclass-Grad-CAM provides insights into interactions between land cover classes, revealing complex spatial arrangements, while Spectral-Grad-CAM quantifies the contributions of individual spectral bands to model predictions, optimizing spectral data use. …”
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Collaborative manufacturing in the steelmaking–continuous casting section using intelligent technologies by Qing LIU, Mo LAN, Zicheng XIN, Jiangshan ZHANG

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Origin Identification of Table Salt Using Flame Atomic Absorption and Portable Near-Infrared Spectrometries by Larissa Rodrigues Zanela Lima, Luana Dalagrana dos Santos, Isabella Taglieri, David Cabral, Letícia Estevinho, Fábio Luiz Melquiades, Luís Guimarães Dias, Evandro Bona

“…One-class classifiers using FAAS data and DD-SIMCA could discriminate the salt origin with few misclassifications. …”
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Automatic Filtering of Sugarcane Yield Data by Eudocio Rafael Otavio da Silva, José Paulo Molin, Marcelo Chan Fu Wei, Ricardo Canal Filho

“…Sugarcane mechanized harvesting generates large volumes of data that are used to monitor harvesters’ functionalities. …”
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MicrocrackAttentionNext: Advancing Microcrack Detection in Wave Field Analysis Using Deep Neural Networks Through Feature Visualization by Fatahlla Moreh, Yusuf Hasan, Bilal Zahid Hussain, Mohammad Ammar, Frank Wuttke, Sven Tomforde

“…Microcrack detection using deep neural networks (DNNs) through an automated pipeline using wave fields interacting with the damaged areas is highly sought after. …”
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Graph-Based User-Centric Recommender System Using Neo4j, Cypher, and Jaccard Similarity in the Field of e-Commerce by Simona-Vasilica Oprea, Adela Bara

“…Experimental results transaction data show that the graph-based method delivers interactive performance and high-quality recommendations, which are validated by comparing Jaccard similarity scores with results from the Surprise recommendation library.…”
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ODM Data Analysis-A tool for the automatic validation, monitoring and generation of generic descriptive statistics of patient data. by Tobias Johannes Brix, Philipp Bruland, Saad Sarfraz, Jan Ernsting, Philipp Neuhaus, Michael Storck, Justin Doods, Sonja Ständer, Martin Dugas

“…<h4>Discussion</h4>Medical experts have ensured the usefulness of this application to grant an overview of their collected study data for monitoring purposes and to generate descriptive statistics without further user interaction. …”
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Unraveling the impact of cyberporn motivations on mental health: insights from Chinese college students by Ling Li, Ran Feng, Lu Yang, Rui Lang, Campbell Ince, Chang Liu, Lei Ren, Zhengzhi Feng, Kuiliang Li

“…This study aims to explore the complex relationship between internet pornography consumption and mental health from the perspective of motives for internet pornography use. Methods Using a convenience sampling method, this study surveyed 2,938 college students, collecting data on their demographics, depression, anxiety, sleep quality, social interaction anxiety, and motives for internet pornography use. …”
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Advanced techniques for fusion data visualisation by Nitesh Bhatia, Rui Costa, Samuel Jackson, Nathan Cummings, Stanislas J. P. Pamela, Shaun de Witt, Alejandra N. Gonzalez Beltran, Robert Akers

“…We demonstrate its effectiveness through key use cases, including camera-like MHD simulations, interactive diagnostic dashboards, and immersive AR/VR visualisation of tokamak data. …”
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EPIMR: Prediction of Enhancer-Promoter Interactions by Multi-Scale ResNet on Image Representation by Qiaozhen Meng, Yinuo Lyu, Xiaoqing Peng, Junhai Xu, Jijun Tang, Fei Guo

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