Historical changes in the Causal Effect Networks of compound hot and dry extremes in central Europe by Yinglin Tian, Domenico Giaquinto, Giorgia Di Capua, Judith N. Claassen, Javed Ali, Hao Li, Carlo De Michele

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Immune-related adverse events of neoadjuvant immunotherapy in patients with perioperative cancer: a machine-learning-driven, decade-long informatics investigation by Yuan Meng, Rong Hu, Song-Bin Guo, Deng-Yao Liu, Zhen-Zhong Zhou, Hai-Long Li, Wei-Juan Huang, Xiao-Peng Tian

“…Using an unsupervised clustering algorithm, we identified six dominant research clusters, among which Cluster 1 (standardizing response assessment criteria for NAI to minimize its adverse reactions; average citation=34.86±95.48) had the highest impact and Cluster 6 (efficacy and safety of multiple therapy patterns combination) was an emerging research cluster (temporal central tendency=2022.43, research effort dispersion=0.52), with “irAEs” (s=0.4242 (95% CI: 0.01142 to 0.8371), R2=0.4125, p=0.0453), “ICIs” (immune checkpoint inhibitors) (s=1.127 (95% CI: 0.5403 to 1.714), R2=0.7103, p=0.0022), and “efficacy and safety” (s=0.5455 (95% CI: 0.1145 to 0.9764), R2=0.5157, p=0.0193) showing significant overall growth. …”
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Detecting Fraudulent Transaction in Banking Sector Using Rule-Based Model and Machine Learning by Cut Dinda Rizki Amirillah

“…This research aims to develop an effective fraud detection model in banking transactions using the rule-based model (RBM) approach and the isolation forest (IF) machine learning algorithm. …”
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Acceptability of an AI-enabled family module in a mobile app for enhanced diabetes management: Patient and family perspectives by Sungwon Yoon, Rena Lau, Yu Heng Kwan, Huiyi Liu, Razeena Sahrin, Jie Kie Phang, Yichi Zhang, Nicholas Graves, Lian Leng Low

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Temporal GeneTerrain: advancing precision medicine through dynamic gene expression visualization by Ehsan Saghapour, Ehsan Saghapour, Rahul Sharma, Delower Hossain, Delower Hossain, Kevin Song, Kevin Song, Zhandos Sembay, Zhandos Sembay, Jake Y. Chen, Jake Y. Chen

“…Compared to other approaches, such as heatmaps and static clustering, Temporal GeneTerrain uniquely captures the transient nature of gene expression patterns. This method significantly enhances the interpretability of complex biological datasets, thereby supporting informed decision-making in biological research and therapeutic development.…”
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Explainable artificial intelligence visions on incident duration using eXtreme Gradient Boosting and SHapley Additive exPlanations by Khaled Hamad, Emran Alotaibi, Waleed Zeiada, Ghazi Al-Khateeb, Saleh Abu Dabous, Maher Omar, Bharadwaj R.K. Mantha, Mohamed G. Arab, Tarek Merabtene

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Methodology for Assessing the Impact of the Diffusion of blockchain Technologies on the Development of the National Economic system (illustrated by the example of the Russian Econo... by L. A. El’shin, V. V. Banderov, A. A. Abdukaeva

“…In this regard, today it is very relevant to a search for formalized approaches to assessing the impact of blockchain technologies on key parameters of macroeconomic generations. The subject of the research is the system of relations between economic entities of the national economy, associated with the perception of blockchain technologies that permeate economic processes. …”
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Using LandTrendr to analyze forest disturbance, recovery, and attribution in Hunan province from 2001 to 2024 by Panlin Cao, Zhuo Zang, Meng Zhang, Xu Wang, Xian Tang, Jiahong Xiang, Shu Tang, Jing Wang, Yanan Zhang

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Automated analysis of retinal microcirculation in type 1 diabetes mellitus by Yu. N. Yusef, M. H. Durzhinskaya, V. G. Pavlov, D. V. Petrachkov, I. B. Gurevich, V. V. Yashina, A. T. Tleubaev, V. V. Fadeyev, I. V. Poluboyarinova, A. E. Goldsmid, R. А. Karamullina, D. V. Lipatov, M. V. Budzinskaya

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Diagnostic host gene signature for distinguishing enteric fever from other febrile diseases by Christoph J Blohmke, Julius Muller, Malick M Gibani, Hazel Dobinson, Sonu Shrestha, Soumya Perinparajah, Celina Jin, Harri Hughes, Luke Blackwell, Sabina Dongol, Abhilasha Karkey, Fernanda Schreiber, Derek Pickard, Buddha Basnyat, Gordon Dougan, Stephen Baker, Andrew J Pollard, Thomas C Darton

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Co-Optimization of Market and Grid Stability in High-Penetration Renewable Distribution Systems with Multi-Agent by Dongli Jia, Zhaoying Ren, Keyan Liu

“…For EV integration, a differentiated scheduling strategy categorizes vehicles based on usage patterns and charging elasticity. The methodological innovations primarily include an enhanced scheduling algorithm for coordinated optimization of renewable energy and energy storage, and a dynamic coordinated optimization method for EV clusters. …”
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Integrated Vehicle Dynamics Modeling, Path tracking, and Simulation: A MATLAB Implementation Approach by Fatima Haidar, Abderaouf Laib, Syed Ali Ajwad, Guillaume Guilbert

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Clustering and visualisation of the GABRIEL network expertise in the field of infectious diseases by Philippe Vanhems, Shally Awasthi, Firdausi Qadri, Sayera Banu, Francine Ntoumi, Graciela Russomando, Jianwei Wang, Zakir Hossain, Bourema Kouriba, Sara Eyangoh, Chan Leakhena Phoeung, Cécile Chauvel, Marie-Charlotte Quemin, Marianne Abifadel, Silvia Figueiredo Costa, Monzer Hamze, Daniel Mukadi-Bamuleka, Abdoul-Salam Ouedraogo, Phimpha Paboriboune, Jean William Pape, Ana Tereza Ribeiro Vasconcelos, Luc Samison, Marilda Agudo Mendonça Siqueira, Nestani Tukvadze, Florence Komurian Pradel

“…Similarities were found using a clustering algorithm and data were visualised using alluvial plots.Results This strategy enabled to find new patterns in the GABRIEL network for the implementation of new projects on global health, regardless of geographical proximity or historical connections. …”
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Characterization of Irrigated Rice Cultivation Cycles and Classification in Brazil Using Time Series Similarity and Machine Learning Models with Sentinel Imagery by Andre Dalla Bernardina Garcia, Ieda Del’Arco Sanches, Victor Hugo Rohden Prudente, Kleber Trabaquini

“…The processing of input data and exploratory analysis were performed using a clustering algorithm based on Dynamic Time Warping (DTW), with K-means applied to the time series. …”
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Artificial intelligence analysis in cyber domain: A review by Liguo Zhao, Derong Zhu, Wasswa Shafik, S Mojtaba Matinkhah, Zubair Ahmad, Lule Sharif, Alisa Craig

“…The application of Big Data Analytics is identified through the Cyber Research Alliance for cybersecurity as the foremost preference for future studies and advancement in the field of cybersecurity. …”
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Callback time preference for prescreening visits among Black residents in the Boston area: findings from two randomized controlled trials by Ruth Zeto, Oluwagbemisola Ibikunle, Jingyi Cao, Hannah Col, Dhrumil Patil, Ruth-Alma Turkson-Ocran, Mingyu Zhang, Timothy B. Plante, Stephen P. Juraschek

“…Methods The GoFreshRx and GoFresh trials examine the effect of a home-delivered Dietary Approaches to Stop Hypertension (DASH)-patterned grocery intervention on blood pressure among Black adults with or without hypertension treatment in Boston. …”
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Technology acceptance model for online education: identifying interdisciplinary topics and their evolution based on BERTopic model by Songyu Jiang, Hao Li, Du Gan

“…This study aims to map the intellectual and thematic landscape of Technology Acceptance Model (TAM) research within online education, highlighting key patterns and emerging trends.A total of 6924 articles published between 2020 and 2024 were retrieved from Web of Science. …”
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SC-PREC4SA: A serially complete daily precipitation dataset for South America by Adrian Huerta, Roberto Serrano-Notivoli, Stefan Brönnimann

“…By integrating a unified framework and multiple outputs from 7794 stations, SC-PREC4SA provides a robust dataset that captures daily precipitation patterns with high to moderate accuracy and consistency. …”
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Real-time monitoring to predict depressive symptoms: study protocol by Yu-Rim Lee, Jong-Sun Lee

“…By collecting continuous, real-time data on physiological and behavioral patterns, the research uncovers subtle changes in heart rate, activity levels and sleep that correlate with depressive symptoms, providing a deeper understanding of the disorder. …”
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Radiological Semiotics of Different Types of Nontuberculous Pulmonary Mycobacterioses by R. B. Amansakhedov, L. I. Dmitrieva, T. G. Smirnova, A. D. Egorova, A. E. Ergeshov

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