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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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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Decentralized Immunization Monitoring: Lessons Learnt from a Pilot Implementation in Kumbotso LGA, Kano State, Nigeria by Adam Attahiru, Yahaya Mohammed, Fiyidi Mikailu, Hyelshilni Waziri, Ndadilnasiya Endie Waziri, Mustapha Tukur, Bashir Sunusi, Mohammed Nasir Mahmoud, Nancy Vollmer, William Vargas, Yusuf Yusufari, Gustavo Corrêa, Heidi W. Reynolds, Teemar Fisseha, Talatu Buba Bello, Moreen Kamateeka, Adefisoye Oluwaseun Adewole, Musa Bello, Imam Wada Bello, Sulaiman Etamesor, Joseph J. Valadez, Patrick Nguku

“…To enable a better understanding of contextual factors towards increasing uptake, we piloted a Decentralized Immunization Monitoring (DIM) approach in the Kumbotso local government area (LGA) of Kano state, Nigeria, to identify wards with low vaccination rates and understand why this is happening. The findings were used to improve routine immunization (RI) programs and reduce the number of unvaccinated children and children yet to receive their first dose of diphtheria–pertussis–tetanus (DPT) vaccine, referred to as Zero-Dose children (ZD). …”
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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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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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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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A Dynamic Spatio-Temporal Deep Learning Model for Lane-Level Traffic Prediction by Bao Li, Quan Yang, Jianjiang Chen, Dongjin Yu, Dongjing Wang, Feng Wan

“…The temporal features are extracted with the gated recurrent unit (GRU). Then, we adaptively fuse spatial and temporal features with the gating mechanism to get the final spatio-temporal features for lane-level traffic prediction. …”
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Integrated Feature-Temporal GAN for Imbalanced Transaction Fraud Detection by Yicen Zheng, Yu Xie, Jiamin Yao

“…IFT-GAN introduces two key innovations: 1) A Feature-Aware Sample Selection (FASS) module that employs Fisher score-based feature ranking and weighted k-means clustering to create a balanced subset enriched with discriminative fraud signatures; and 2) A Temporal Dependency GAN (TD-GAN) architecture employing a novel Time-aware Gated Recurrent Unit (TaGRU) in both the generator and discriminator, explicitly modeling the temporal intervals between transactions through adaptive temporal gating. …”
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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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Perception of quality and adoption of health-preventive measures in gym-goers after the COVID-19 pandemic peak in Italy by L Falese, E Langiano, M Ferrara, P Diotaiuti, A Rodio, T Di Libero, A Andrade, E De Vito

“…Participants generally rated the gym positively, with 34.49% considering it "Good" and 39.23% rating it "Very good." …”
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From Margin to Mainstream: Informal Street Vendors and Local Politics in Kolkata, India by Tathagata Chatterji, Souvanic Roy

“…A new, fragmented spatial structure has started emerging, with the middle classes and the globalizing segments of the economy, moving away to gated enclaves at the urban fringe. These changes are not isolated phenomenon, but rather symptomatic with the larger process of urban transformation and entwined with the political-economic change in the state level.…”
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Emoji-Driven Sentiment Analysis for Social Bot Detection with Relational Graph Convolutional Networks by Kaqian Zeng, Zhao Li, Xiujuan Wang

“…Subsequently, seven sentiment-based features are extracted to quantify statistical disparities in emotional expression patterns between bot and human accounts. An attention gating mechanism is further designed to dynamically fuse these sentiment features with user description, tweet content, numerical attributes, and categorical features. …”
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Factors affecting detection probability: Insights from banding data in a long-term continent-wide monitoring program by Morgane Gicquel, Juan C. Alonso, Lovisa Nilsson, Matthew Low, Javier A. Alonso, Dmitrijs Boiko, Damon Bridge, Patrick Dulau, Thomas Heinicke, Anne Kettner, Yosef Kiat, Petras Kurlavičius, Sigvard Lundgren, Michael Modrow, Günter Nowald, Ivar Ojaste, Alain Salvi, Jostein Sandvik, Markéta Ticháčková, Antonio Torrijo, Jari Valkama, Zsolt Végvári, Johan Månsson

“…In this study we investigate factors influencing detection rates of colour-banded Eurasian cranes (Grus grus), from a monitoring program spanning 35 years, involving 5049 marked individuals using four different types of bands (ELSA, ‘Finnish’, ‘Spanish’ and alphanumeric) with 172,725 resightings along migratory flyways. …”
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A multi-voter multi-commission nearest neighbor classifier by Suyanto Suyanto, Prasti Eko Yunanto, Tenia Wahyuningrum, Siti Khomsah

“…Compared with two single-voter models: KNN and Bonferroni Mean Fuzzy k-Nearest Neighbors (BM-FKNN), the proposed MVMCNN also gives lower mean error rates as well as higher Precision, Recall, and F1 Score, indicating that the multi-voter model provides a better decision than the single-voter ones.…”
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