Group attention for collaborative filtering with sequential feedback and context aware attributes by Hadise Vaghari, Mehdi Hosseinzadeh Aghdam, Hojjat Emami

“…However, due to individual variations in rating patterns and dynamic interplays of item attributes, it becomes challenging to model user preferences accurately. …”
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Presentation time shapes perceived room size in visual and auditory modalities by Johanna Bogon, Cindy Jagorska, Ella Maria Heinz, Martin Riemer

“…As time judgments were consistently rated as more difficult relative to space judgments, this pattern of interference cannot be explained on the basis of task difficulty. …”
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Nursing Value Analysis and Risk Assessment of Acute Gastrointestinal Bleeding Using Multiagent Reinforcement Learning Algorithm by Fang Liu, Xiaoli Liu, Changyou Yin, Hongrong Wang

“…As a result, we present а unique machine learning-based nursing value analysis and risk assessment framework in this research to construct a model to evaluate the risk of hospital-based interventions or mortality in individuals with GIB and make a comparison to that of other rating systems. Initially, the dataset is collected, and preprocessing is done. …”
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Color characteristics and psychological healing effects in Rokuon-ji Temple Garden: a quantitative analysis by Jinyang Wang, Yoichi Kunii

“…From an initial collection of 150 photographs documenting the garden’s complete visitor experience, 42 landscape photographs were systematically selected based on healing quality ratings (mean ≥5.0, median ≥5.0, standard deviation <1.2) and analyzed for six color categories (red, yellow, brown, gray, white, green) using three quantitative metrics: fractal dimension, diversity index, and concentration index. …”
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Socio-Demographic Factors and Health-Oriented Behaviors of University Students in the Podkarpackie Region. Long-Term Prospective Research by Paweł Więch, Dariusz Bazaliński, Zdzisława Chmiel, Józef Ratajczyk, Paweł Januszewicz, Monika Binkowska-Bury

“…It was conducted in 2009 and repeated two years later. The rating of the behavior patterns of students was conducted in accordance with the following schedule: October 2009 – January 2010 (T1), October 2011 – January 2012 (T2). …”
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LLM based expert AI agent for mission operation management by Sobhana Mummaneni, Syama Sameera Gudipati, Satwik Panda

“…AI offers opportunities to reduce mission costs, improve success rates, and enhance the efficiency of space exploration programs. …”
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Seasonal population dynamics and dietary switching of Vulpes spp. amplify Echinococcus spp. transmission in the Eastern Tibetan plateau: implications for wildlife-mediated zoonotic... by Xu Wang, Chuizhao Xue, Xueying Deng, Qilu Chen, Chunyang Li, Baixue Liu, Ying Wang, Yan Kui, Qingqiu Zuo, Jianhai Yin, Shuai Han, Yujuan Shen, Jianping Cao

“…This dietary diversification correlated with seasonal resource scarcity, driving foxes to exploit alternative prey. The infection rates of Echinococcus in V. ferrilata displayed the U-shaped seasonal patterns. …”
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Video-assisted surgery in the treatment of early corpus uteri cancer by T. M. Kochoyan, D. V. Komov, R. A. Kerimov, S. Yu. Sletina, A. V. Logachev

“…Overall and relapse-free survival rates were comparable in the two groups and did not depend on the technique of surgical intervention.…”
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The Use of 3D Convolutional Autoencoder in Fault and Fracture Network Characterization by Feng Xu, Zhiyong Li, Bo Wen, Youhui Huang, Yaojun Wang

“…Conventional pattern recognition methods directly use 1D poststack data or 2D prestack data for the statistical pattern recognition of fault and fracture network, thereby ignoring the spatial structure information in 3D seismic data. …”
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Prevalence of Moraxella Catarrhalis as a Nasal Flora among Healthy Kindergarten Children in Bhaktapur, Nepal by Neetu Amatya, Govinda Paudel, Bhuvan Saud, Sunita Wagle, Vikram Shrestha, Bibhav Adhikari

“…Using bivariate and multivariate analysis, the associated risk factors with significantly high carriage rates were age group of 3–4 years, classroom occupancy with 15–30 children, and antibiotic consumption within 6 months, with a p value of ≤0.05 in each of the cases. …”
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Younger Age Is an Independent Predictor for Poor Survival in Patients with Signet Ring Prostate Carcinoma by Jue Wang, Fen Wei Wang, George P. Hemstreet

“…The 1-, 3-, and 5-year cancer-specific survival rates were 94.6%, 89.6%, and 83.8%, respectively. …”
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Multi-scale spatio-temporal graph neural network for urban traffic flow prediction by Hui Chen, Jian Huang, Yong Lu, Jijie Huang

“…On the four datasets, the average improvement rates of the three prediction accuracy metrics, namely the Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Mean Absolute Percentage Error (MAPE), reach 17.69%, 15.65%, and 10.30% respectively.…”
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Exploring cognitive and emotional symptoms associated with hippocampal subfield atrophy in drug-induced Parkinsonism by Wei Zhou, MengYue Tang, Bo Cheng, Ling Sun, HongYu Lin, Yang Fan, Nian Liu, Shushan Zhang

“…This study explores hippocampal subfield volumes in DIP compared to Parkinson’s disease (PD) and healthy controls (HCs), investigating correlations with cognitive (Montreal Cognitive Assessment, MoCA), emotional (Hamilton Depression Rating Scale, HAMD; Hamilton Anxiety Rating Scale, HAMA), and motor (Unified Parkinson’s Disease Rating Scale, UPDRS) symptoms.MethodsA total of 19 DIP patients, 20 PD patients, and 20 HCs were enrolled. …”
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Evaluating the Clinico-biochemical Association between Stress and Chronic Periodontitis by Estimation of Serum Cortisol and Serum Chromogranin A Levels by Shilpa Duseja, Hiral Akshat Parikh, Sareen Duseja

“…The analysis of stress levels using the Social Readjustment Rating Scale and lifestyle evaluation using the Health Practice Index was done. …”
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Evolution of public broadcasting: TeleJurnal’s viewership trends and strategic implications for business sustainability by Săseanu Ramona, Stanomir Ruxandra, Bădulescu Andreea-Alexandra

“…By employing a time-series autoregressive moving-average model, this article assesses the stationarity and autocorrelation of audience data to evaluate the consistency of ratings amidst external factors such as changes in programming strategy, political events, and market competition. …”
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A GPT-Based Approach for Cyber Threat Assessment by Fahim Sufi

“…Notably, anomaly detection identified six significant deviations during the monitored timeframe, starting from 25 September 2023 to 25 November 2024, with a sensitivity of 75%, revealing critical insights into unusual activity patterns. The fully deployed automated model also identified 11 correlated factors and five unique clusters associated with high-rated cyber incidents. …”
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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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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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