Digital transformation and cyberbullying in education: an evaluation on children in Kyrgyzstan by Niyazi Ayhan, Erdoğan Akman, Topchugul Narmamatova

“…This quantitative study investigates the prevalence and patterns of cyberbullying victimization among Kyrgyz school-age children, exploring socio-cultural factors, digital literacy, and parental supervision as potential risk variables. …”
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Pursuit of entertainment or self-expression? Research on adventure tourism by Mustafa Gülmez, Ayşe Nur Soysal, Naci Büyükdağ, Ayşegül Acar, Burak Türten, Cenk Murat Koçoğlu

“…Abstract This study explores the behavioral patterns of tourists in adventure tourism, focusing on the roles of push factors, self-image congruity, word-of-mouth (WOM), and intentions to revisit while considering the variations attributed to the rafting experience (first-time vs. repeated) and gender. …”
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China’s social fake news database release with brain structural, functional, and behavioural measures by Wanting Chen, Jia Shi, Qinghua He

“…While existing research predominantly examines its propagation patterns and psychological drivers, the neural underpinnings remain insufficiently understood. …”
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Using the Active Faults of Eurasia Database for solving tectonic problems by D. M. Bachmanov, E. A. Zelenin, A. I. Kozhurin, V. G. Trifonov

“…This new database contains more than 30000 objects that are geographically linked, equipped with attributes of the kinematic type, estimated movement rates and activity confidence ranks. As an exam‐ ple, we consider processing of the data on several tectonic regions of the Alpine‐Himalayan mobile belt and construction of rose‐diagrams of faults for a comparative analysis of their Late Cenozoic kinematics. …”
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Subtle alteration in transcriptional memory governs the lineage-level cell cycle duration heterogeneities of mammalian cells by Kajal Charan, Sandip Kar

“…Herein, we perform a computational modeling study to demonstrate that correlated fluctuations of the inherited transcription rates during cell cycle progression and their random resetting in mitosis are sufficient to account for the experimentally observed cell cycle duration correlation patterns for cell lineage pairs. …”
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DCS-based MBSBL joint reconstruction of multi-sensors data for energy-efficient telemonitoring of human activity by Jianning Wu, Jiajing Wang, Yun Ling

“…The sparse representation classification model is used to classify activity patterns using the jointly reconstructed data in order to further examine the effectiveness of our proposed method. …”
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Examining Deep Learning Techniques for Ethical Artificial Intelligence: Cleansing Malicious Comments from Users by Ji Woong Yoo, Kyoung Jun Lee, Arum Park

“…Our findings demonstrate that deep learning models surpass CleanBot in accuracy and block rates for handling negative user comments, including malicious ones, enabling organizations to effectively manage such comments in online communities using AI-based methods. …”
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Analysis of COVID-19 Pandemic Waves in Death Figures of Turkey by Muzaffer Balaban

“…By understanding the trends and patterns in mortality rates, decision-makers can make informed choices on prioritization of interventions to pandemics. …”
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Gradience and optionality in the syntactic realization of focus by Silvio Cruschina, Laia Mayol

“…Casted as weighted soft constraints, they do not cause ungrammaticality when violated, but the greater their weight, the more unacceptable their violation becomes, which can explain the observed patterns.  …”
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SOH Estimation Method for Lithium-Ion Batteries Using Partial Discharge Curves Based on CGKAN by Shengfeng He, Wenhu Qin, Zhonghua Yun, Chao Wu, Chongbin Sun

“…Next, a SOH estimation framework based on the CGKAN model is developed, where 1-Dimensional-Convolutional Neural Networks (1D-CNN) are used to extract deep features from the original data, Bidirectional Gated Recurrent Unit (BiGRU) captures the bidirectional dependencies of the time series, and Kolmogorov–Arnold Networks (KAN) enhances the modeling of complex nonlinear features through its nonlinear mapping capabilities, thereby improving the accuracy of SOH estimation. …”
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The role of spatially controlled cell proliferation in limb bud morphogenesis. by Bernd Boehm, Henrik Westerberg, Gaja Lesnicar-Pucko, Sahdia Raja, Michael Rautschka, James Cotterell, Jim Swoger, James Sharpe

“…By developing a parameter optimization approach (which explores spatial patterns of tissue growth) our computer simulations reveal that the observed distribution of proliferation rates plays no significant role in controlling the distally extending limb shape, and suggests that directional cell activities are likely to be the driving force behind limb bud outgrowth. …”
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Incidence, mortality, and risk factors of bladder, kidney, prostate and testicular cancers in China and comparisons with the United States, the United Kingdom, Japan, and the Repub... by Gaohaer Kadeerhan, Zhongji Jiang, Hong Guo, Xinzhi Ma, Jin Zhang, Wenmin Guo, Jiedong Jia, Yibo Gao, Dongwen Wang

“…Conclusions The distinct age-specific patterns, elevated rates within specific age groups, and marked upward temporal trends of genitourinary cancers in China underscore the critical need for targeted, age-stratified public health interventions.…”
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AEMS: Adaptive Ensemble GNNs for Multibehavior Stream Recommendation by Ritchie Natuan Caibigan, Punyaphol Horata, Pusadee Seresangtakul

“…The AEMS synergizes long-term preference patterns (derived from historical interactions) with real-time user intents and item attributes (captured through multibehavior signals), integrating them via an adaptive ensemble neural gating mechanism. …”
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Forecasting Sales in Live-Streaming Cross-Border E-Commerce in the UK Using the Temporal Fusion Transformer Model by Qi Zhang, Xue Li, Pengbin Gao

“…Our multimodal approach integrates diverse time series data, including historical sales, key opinion leader (KOL) influence, and seasonal patterns. The Temporal Fusion Transformer (TFT) model demonstrated consistently lower Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Squared Error (MSE) across all forecasting horizons compared to other machine learning approaches, including Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN), and Gated Recurrent Unit(GPU)-accelerated architectures. …”
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A clustering-based federated deep learning approach for enhancing diabetes management with privacy-preserving edge artificial intelligence by Xinyi Yang, Juan Li

“…We develop tailored models that enhance prediction accuracy by clustering patients based on carbohydrate (CHO) intake patterns. Utilizing Simple Recurrent Neural Network (SimpleRNN) and Gated Recurrent Unit (GRU) methods, the study evaluates the performance of local patients who contribute to training the cluster and global (non-cluster) models. …”
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Anomaly Detection in Network Traffic via Cross-Domain Federated Graph Representation Learning by Yanli Zhao, Zongduo Liu, Junjie Pang

“…Traditional detection approaches typically rely on statistical features while overlooking the interaction patterns and structural dependencies among traffic flows. …”
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Whole Blood Stimulation Assay as a Treatment Outcome Monitoring Tool for VL Patients in Ethiopia: A Pilot Evaluation by Yetemwork Aleka, Ana Victoria Ibarra-Meneses, Meseret Workineh, Fitsumbrhan Tajebe, Amare Kiflie, Mekibib Kassa Tessema, Roma Melkamu, Azeb Tadesse, Javier Moreno, Johan van Griensven, Eugenia Carrillo, Wim Adriaensen

“…Current treatments produce variable rates of treatment failure and toxicity without sterile cure, rendering treatment efficacy monitoring essential. …”
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Geospatial Analytics of Urban Bus Network Evolution Based on Multi-Source Spatiotemporal Data Fusion: A Case Study of Beijing, China by Xiao Li, Shaohua Wang, Liang Zhou, Yeran Sun, Jiayi Zheng, Chang Liu, Junyuan Zhou, Cheng Su, Dachuan Xu

“…By analyzing spatial coverage rates of transit stations using road network and administrative division data, the study reveals the convenience of bus networks in different regions. …”
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Analysis of influencing factors on recurrence and metastasis of pT1b ~ pT4aNOM0 esophageal squamous cell carcinoma after radical surgery in Northeast Sichuan region by Wenxia Ren, Lei Yu, Yu Cui, Daiyuan Ma

“…Abstract Background The incidence and mortality rates of esophageal cancer are high, yet public awareness of this disease remains low, particularly in the northeastern Sichuan region. …”
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The association between four dietary indices and mortality risk in cardiovascular disease patients by Mengshan Pan, Tongle Yin, Ying Yang, Feiyun Zhu, Jiamin Xu, Rucheng Chen, Weijun Zheng

“…Abstract Background The Planetary Healthy Diet Index-United States, the Healthy Diet Index, the Mediterranean Diet, and the Dietary Inflammation Index were linked to mortality rates in cardiovascular patients. This study investigated the relationship between these dietary patterns and all-cause mortality risk in U.S. cardiovascular patients from 2005 to 2006 to 2017–2018. …”
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