A mini review of transforming dementia care in China with data-driven insights: overcoming diagnostic and time-delayed barriers by Pinya Lu, Xiaolu Lin, Xiaofeng Liu, Mingfeng Chen, Caiyan Li, Hongqin Yang, Yuhua Wang, Xuemei Ding

“…Future policy-guided cooperation between researchers and multi-stakeholders are urgently called for dementia 4E (early-screening, early-assessment, early-diagnosis, and early-intervention).…”
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Human fall direction recognition in the indoor and outdoor environment using multi self-attention RBnet deep architectures and tree seed optimization by Awais Khan, Jung-Yeon Kim, Chomyong Kim, Muhammad Attique Khan, Hyojin Shin, Jiyoung Woo, Yunyoung Nam

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Immersive solutions: South African community service nurses' perspectives on virtual reality potential in hypertension management by Jayd Brittany Vitorino Clara, Charlene Downing, Patrick Ndayizigamiye, Pieter Herman Myburgh

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nBERT: Harnessing NLP for Emotion Recognition in Psychotherapy to Transform Mental Health Care by Abdur Rasool, Saba Aslam, Naeem Hussain, Sharjeel Imtiaz, Waqar Riaz

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Inferring the heterogeneous effect of urban land use on building height with causal machine learning by Yimin Chen, Jing Chen, Shuai Zhao, Xiaocong Xu, Xiaoping Liu, Xinchang Zhang, Honghui Zhang

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Applicability of the decomposed theory of planned behavior for the evaluation of community-dwelling older adults’ acceptance in continuous usage of robot-assisted board games for c... by Chiu-Mieh Huang, Su-Fei Huang, Yu-Ting Chen, Ching-Hao Chang, Hsiu-Chun Chien, Ying-Jie Chang, Kuei-Yu Huang, Jong-Long Guo

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Analysis of COVID-19 prevalence in Belarus, Thailand, and Lithuania utilizing the SIR model during the COVID era by Zahra Shirmohammadi, Khosro Rezaee, Mehdi Gheisari, Mojtaba Farmani, Fatemeh Aali, Reza Soltani, Hossein Razghandi

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Fecal microbiota transplantation is a promising therapy for kidney diseases by Jiawei Zhang, Jiawei Zhang, Xiangge Ren, Xiangge Ren, Bing Li, Bing Li, Zhifen Zhao, Zhifen Zhao, Shoudao Li, Shoudao Li, Wensheng Zhai, Wensheng Zhai

“…To enhance the translational potential of FMT in nephrology, future studies should incorporate artificial intelligence for personalized intervention strategies and establish standardized protocols to ensure safety, efficacy, and reproducibility.…”
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Sustainable phytoprotection: a smart monitoring and recommendation framework using Puma Optimization for potato pathogen detection by Amal H. Alharbi, Faris H. Rizk, Khaled Sh. Gaber, Marwa M. Eid, Marwa M. Eid, El-Sayed M. El-kenawy, El-Sayed M. El-kenawy, Pushan Kumar Dutta, Doaa Sami Khafaga

“…Ensuring sustainable and resilient agricultural systems in the face of intensifying crop disease threats requires intelligent, data-driven tools for early detection and intervention. …”
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Total and regional fat-to-muscle mass ratio and risks of pan-cancer: a prospective cohort study by Ruizhi Wang, Yudi Xu, Yuyuan Zhang, Yushuai Wu, Anning Zuo, Shutong Liu, Yuhao Ba, Hui Xu, Siyuan Weng, Zhaokai Zhou, Hongxuan Ma, Peng Luo, Quan Cheng, Xinwei Han, Zaoqu Liu

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Research on the application of functional near-infrared spectroscopy in differentiating subjective cognitive decline and mild cognitive impairment by Zheng Wang, Chaojie Niu, Yong Duan, Hao Yang, Jinpeng Mi, Chao Liu, Guodong Chen, Qihao Guo

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Impaired cognitive flexibility in schizophrenia: A systematic review of behavioral and neurobiological findings by Philipp Aumer, Geva A. Brandt, Dusan Hirjak, Florian Bähner

“…Neither antipsychotic medication nor intelligence seem to explain impaired cognitive flexibility. …”
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Advanced Prediction of Recurrent Fragility Fractures Using Large Language Models by Mohammad Alshraideh, Arafat Al-Dhaqm, Ahmad Alshammari, Abedalrahman Alshraideh, Bahaaldeen Alshraideh, Bayan Mohamed Al-Fayoumi, Maged Nasser

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Computational modeling of drug-eluting balloons in peripheral artery disease: Mechanisms, optimization, and translational insights by Mohammed A. AboArab, Vassiliki T. Potsika, Dimitrios S. Pleouras, Dimitrios I. Fotiadis

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Behavior Analysis With Integrated Visual-Motor Tracking for Developmental Coordination Disorder by Ruimin Li, Hong Fu, Yang Zheng, Shuiping Gou, Jane Jie Yu, Xiaowei Kong, Hongmin Wang

“…This finding also provides precise guidance for the interventions for children with DCD. In addition to increasing the amount of time spent on concentrating, we should focus on improving children’s attention levels.…”
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cGAS, an innate dsDNA sensor with multifaceted functions by Yutong Liu, Pinglong Xu

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Long-Term Outcomes of Intentional Head Trauma in Infants: A Comprehensive Follow-Up of Medical, Developmental, Psychological, and Legal Perspectives by Göksel Vatansever, Ezgi Özalp Akın, Pınar Bingöl Kızıltunç, Didem Behice Öztop, Kezban Karabağ, Seda Topçu, Betül Ulukol

“…A psychiatric evaluation was performed using the Ankara Developmental Screening Inventory, Crowell observation, Affective Disorders and Schizophrenia Form, and Wechsler Intelligence Scale for Children. <i>Results</i>: Of the patients diagnosed with IHT, 71.4% were male and the mean age was 8.39 ± 5.86 (1.27–22.30; IQR: 3.55–11.96) months. …”
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Optical screening of citrus leaf diseases using label-free spectroscopic tools: A review by Saurav Bharadwaj, Akshita Midha, Shikha Sharma, Gurupkar Singh Sidhu, Rajesh Kumar

“…Moreover, the role of artificial intelligence is reviewed as potential effective tools for spectral analysis, enabling accurate detection of infected citrus leaves even before the appearance of visual symptoms by leveraging compositional, morphological, and chemometric characteristics of the plant leaves. …”
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Post-Transplant Liver Monitoring Utilizing Integrated Surface-Enhanced Raman and AI in Hepatic Ischemia-Reperfusion Injury Animal Model by Lee S, Kwon H, Oh J, Kim KR, Hwang J, Kang S, Lee K, Namgoong JM, Kim JK

“…Current diagnostic tools for detecting IR injury have limitations, necessitating advanced methods for timely intervention. This study explores the integration of surface-enhanced Raman spectroscopy (SERS) with artificial intelligence (AI) to improve diagnostic accuracy for liver IR injury.Materials and Methods: IR injury was induced using a mouse model, and histopathological and hepatic functional evaluations were conducted alongside SERS measurements. …”
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Enhanced Blade Fault Diagnosis Using Hybrid Deep Learning: A Comparative Analysis of Traditional Machine Learning and 1D Convolutional Transformer Architecture by Syed Asad Imam, Meng Hee Lim, Ahmed Mohammed Abdelrhman, Iftikhar Ahmad, Mohd Salman Leong

“…ABSTRACT Artificial intelligence offers a promising solution for the precise identification of faults in rotating machinery. …”
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