Intelligent Environmental Health Risk Assessment System for the Elderly in Cold Regions Based on Artificial Intelligence Integrated Development Environment by Tianheng ZHANG, Yao FU, Jian GAO, Huanran XUE

“…ObjectiveThis research aims to develop a comprehensive environmental health risk prediction system for elderly populations in cold regions based on a Bayesian probability framework. …”
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Methodological development study: Dynamic mask attention graph neural network for mechanical ventilation in elderly intensive care unit patients by Yi Xie, Ni Xie, Jiao Guo

“…Visualization of the feature interaction graph revealed the relationship between important features such as respiratory rate and oxygen saturation. …”
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TRILINGUALISM AS AN OPTIMISING EDUCATIONAL FACTOR OF MASTERING A SECOND FOREIGN LANGUAGE WITHIN THE FORMAT OF COMPETENCE-BASED APPROACH by A. Likhacheva, T. Lomteva

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Impact of High Temperatures on Tourist Flows in Urban and Rural Areas: Climate Adaptation Strategies in China by Man Wei, Tai Huang

“…This reduction altered spatial patterns, shifting from a multicentric distribution to an urban-centered concentration. …”
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Development of IIOT-Based Pd-Maas Using RNN-LSTM Model with Jelly Fish Optimization in the Indian Ship Building Industry by PNV Srinivasa Rao, PVY Jayasree

“…The selected data set is pre-processed and feature selection for the optimization for the improvement in accuracy, and automation decision making the framework of the convolution neural network along with the ensemble boosted tree classifier developed is optimized using the jellyfish optimization and Recurrent Neural Network and Long Short-Term Memory (RNN-LSTM) model for the recognition of patterns and numerical vectors in the real-world data after processing of output then it is sent back as the input for the recurrent network to make the decision in the shipbuilding process. …”
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Automated Image-Based Wound Area Assessment in Outpatient Clinics Using Computer-Aided Methods: A Development and Validation Study by Kuan-Chen Li, Ying-Han Lee, Yu-Hsien Lin

“…It organizes data points into clusters based on shared features. Based on this algorithm, we can use it to identify the wound region and determine its pixel area. …”
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One Health and planetary health research landscapes in the Arab world by Shaher Zyoud, Sa'ed H. Zyoud

“…Conversely, planetary health presents an irregular growth pattern, with a strong point in the development of this area standing out in 2023. …”
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Early selective attention to the articulating mouth as a potential female-specific marker of better language development in autism: a review by Itziar Lozano, Charlotte Viktorsson, Elena Capelli, Teodora Gliga, Valentina Riva, Przemysław Tomalski

“…In this hypothesis and theory article, we propose that unique female gaze patterns to the mouth may constitute an early female-specific candidate marker that acts as a protective marker for language development also in autism. …”
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Development and validation of the multidimensional machine learning model for preoperative risk stratification in papillary thyroid carcinoma: a multicenter, retrospective cohort s... by Jia-Wei Feng, Lu Zhang, Yu-Xin Yang, Rong-Jie Qin, Shui-Qing Liu, An-Cheng Qin, Yong Jiang

“…Abstract Background This study aims to develop and validate a multi-modal machine learning model for preoperative risk stratification in papillary thyroid carcinoma (PTC), addressing limitations of current systems that rely on postoperative pathological features. …”
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PROGNOSTIC SIGNIFICANCE OF THE EPITHELIAL-MESENCHYMAL TRANSITION MARKERS AND MORPHOLOGICAL CHARACTERISTICS OF HEAD AND NECK SQUAMOUS CELL CARCINOMAS IN THE DEVELOPMENT OF LYMPHOGEN... by V. A. Bychkov, L. N. Bondar, Ju. A. Nebova, I. V. Larionova, O. V. Cheremisina, V. M. Perelmuter

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Development and Internal Validation of Machine Learning Algorithms for Predicting Subsequent Contralateral Slipped Capital Femoral Epiphysis in Patients With Unilateral Slips by David P. VanEenenaam, Jr., BS, Carter Hall, BS, Daniel A. Maranho, MD, PhD, Christopher J. DeFrancesco, MD, Eduardo N. Novais, MD, Wudbhav N. Sankar, MD

“…Machine learning (ML) algorithms can be leveraged to identify complex, nonlinear patterns in data and allow for more accurate predictions on which patients may need a prophylactic pin. …”
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Development of operational decision support tools for mechanized ski guiding using avalanche terrain modeling, GPS tracking, and machine learning by J. Sykes, J. Sykes, P. Haegeli, R. Atkins, P. Mair, Y. Bühler, Y. Bühler

“…The insights of our analysis provide a baseline for the development of effective decision support tools for backcountry avalanche risk management that can offer independent perspectives on operational terrain choices based on historic patterns or as a training tool for newer guides.…”
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Among Artificial Intelligence/Machine Learning Methods, Automated Gradient-Boosting Models Accurately Score Intraoral Plaque in Non-Standardized Images by Eric Coy, William Santo, Bonnie Jue, Helen Betts, Francisco Ramos-Gomez, Stuart A. Gansky

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Coupling relationship between land use transition and rural transformation development: A case study of county-level regions in Jiangsu Province by GE Dazhuan, WANG Rumin, LU Xiaoxue

“…[Results] (1) During the study period (2000-2020), the land use transition and rural transformation development development in counties of Jiangsu Province presented a pattern of evolving from low-speed heterogeneity to high-speed homogeneity, characterized by the macroscopic features of leading in some local areas and an orderly gradient improvement. (2) The coupling relationship of land use transition and rural transformation development in Jiangsu Province had undergone two stages: Transition from the province’s imbalance to partial low coupling, then from low coupling to high coupling. …”
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Multi-Modal Social Media Analysis via SHAP-Based Explanation: A Framework for Public Art Perception by Tianhao Guo, Zhengyang Lu, Feng Wang

“…Jiangsu Province’s rapid urbanization presents unprecedented opportunities for examining evolving cultural landscapes through public art perception patterns. We propose a multi-modal framework integrating visual and linguistic analysis: visual content undergoes ResNet-152 feature extraction and Qwen-7B-Chat captioning, while textual data is processed through hierarchical topic modeling and sentiment classification. …”
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Development and validation of an interpretable multi-task model to predict outcomes in patients with rhabdomyolysis: a multicenter retrospective cohort studyResearch in context by Chunli Liu, Jie Shi, Fengjuan Wang, Duo Li, Yu Luo, Bofan Yang, Yunlong Zhao, Li Zhang, Dingwei Yang, Heng Jin, Jie Song, Xiaoqin Guo, Haojun Fan, Qi Lv

“…Twenty-two clinical features available within the first 24 h of admission were selected to develop the prediction models. …”
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Early real-time estimation of the basic reproduction number of emerging or reemerging infectious diseases in a community with heterogeneous contact pattern: Using data from Hong Ko... by Kin On Kwok, Bahman Davoudi, Steven Riley, Babak Pourbohloul

“…Based on this approach, we extend the existing methodology; the most recent method features intra- and inter-age groups contact heterogeneity. …”
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Modeling of competitive interactions: basic regularities. Part 1 by S. Yu. Malkov

“…The paper attempts to analyze the general features of competitive interactions based on the study of the basic mathematical model describing competition in socio-economic and socio-political spheres. …”
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Dynamical modeling of syncytial mitotic cycles in Drosophila embryos by Laurence Calzone, Denis Thieffry, John J Tyson, Bela Novak

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A spatial analysis of gating in Bloemfontein, South Africa by Ferreira Verno, Visser Gustav

“…Metropolitan areas in South Africa have also witnessed a rapid increase in the number and spread of gated developments since the late 1980s. Development of enclosed neighbourhoods has become increasingly popular, gaining widespread support for their utopic lifestyle and safety features. …”
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