Artificial intelligence in clinical medicine: a state-of-the-art overview of systematic reviews with methodological recommendations for improved reporting by Giovanni Morone, Giovanni Morone, Luigi De Angelis, Luigi De Angelis, Alex Martino Cinnera, Riccardo Carbonetti, Alessio Bisirri, Irene Ciancarelli, Marco Iosa, Marco Iosa, Stefano Negrini, Stefano Negrini, Carlotte Kiekens, Francesco Negrini, Francesco Negrini

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SEARCH FOR ALTERNATIVE SOURCES OF NATURAL PLANT ANTIOXIDANTS FOR FOOD INDUSTRY by N. V. Kupaeva, E. A. Kotenkova

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The association of ultra-processed food intake on age-related muscle conditions: a systematic review and dose–response meta-analysis with meta-regression by Mohammad Ali Hojjati Kermani, Farhang Hameed Awlqadr, Sepide Talebi, Sanaz Mehrabani, Donny M. Camera, Reza Bagheri, Fariborz Poorbaferani, Seyed Mojtaba Ghoreishy, Parsa Amirian, Mahsa Zarpoosh, Sajjad Moradi

“…Abstract Objectives Chronic excessive intake of ultra-processed foods (UPFs) has been linked to various metabolic conditions; however, its impact on skeletal muscle mass and function in older adults remains unclear. …”
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Chronic loneliness and longitudinal changes in cognitive functioning by Jee eun Kang, Lynn M. Martire, Jennifer E. Graham-Engeland, David E. Almeida, Martin J. Sliwinski

“…Methods This study utilizes data from a longitudinal measurement burst study spanning over two years, comprising three waves of data collection. …”
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Unstable metaphors, uncertain minds: how metaphors shape judgments and opinions by Martina Montalti, Martina Montalti, Stefana Garello, Valentina Cuccio

“…After reading the sentences, participants were asked to respond to six topical questions regarding current and future economic and life perspectives.ResultsData shows that across all six topical questions, reading stable metaphors led to more positive judgments compared to unstable sentences (both metaphors and literal ones). …”
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Flourishing as a highly sensitive person: a mixed method study on the role of nature connectedness and chaotic home environment by Susan Carroll, Anna O’Brien, Francesca Lionetti, Anna O’Reilly, Annalisa Setti, Annalisa Setti

“…Middle and older adulthood are less investigated stages of life.Methods856 participants aged 40+ were surveyed on their level of sensory processing sensitivity (SPS), flourishing, current chaos in the home, and nature connectedness. …”
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Leveraging assistive technology for visually impaired people through optimal deep transfer learning based object detection model by Mahir Mohammed Sharif Adam, Nojood O. Aljehane, Mohammed Yahya Alzahrani, Samah Al Zanin

“…Furthermore, the Faster R-CNN model is used for the object detection process. Moreover, the EATBP-ODHOA method utilizes fusion models such as ResNet and DenseNet-201 for the feature extraction process. …”
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Principles of creation of the big territorially distributed automated systems by V. A. Tretyakov, G. V. Kulikov, Yu. F. Lukyanets

“…The center of input data processing and information preparation contains a complex of automation tools and personnel providing maintenance, repair and operation.The functions and the most significant hardware and software components of large territorially distributed automated systems are presented. …”
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Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization by Tawsifur Rahman, Amith Khandakar, Muhammad Abdul Kadir, Khandaker Rejaul Islam, Khandakar F. Islam, Rashid Mazhar, Tahir Hamid, Mohammad Tariqul Islam, Saad Kashem, Zaid Bin Mahbub, Mohamed Arselene Ayari, Muhammad E. H. Chowdhury

“…Accurate and early detection of TB is very important, otherwise, it could be life-threatening. In this work, we have detected TB reliably from the chest X-ray images using image pre-processing, data augmentation, image segmentation, and deep-learning classification techniques. …”
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Synergistic use of multi-sensor satellite data for mapping crop types and land cover dynamics from 2021 to 2023 in Northeast Thailand by Savittri Ratanopad Suwanlee, Surasak Keawsomsee, Emma Izquierdo-Verdiguier, Álvaro Moreno-Martínez, Sarawut Ninsawat, Jaturong Som-ard

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Exploring the dynamics of self-efficacy, resilience, and self-management on quality of life in type 2 diabetes patients: A moderated mediation approach from a positive psychology p... by Zheng Ting, Wang Huicai, Zakeer Kudelati, Ge Yongkang, Ayimire Alimu, Zhang Xiaotian, Qu Xingge, Li Tong

“…<h4>Methods</h4>Using a cross-sectional design, this study incorporated 408 patients with T2DM from the endocrinology department of a public hospital in Urumqi, who were selected through convenience sampling from December 29, 2023 to June 30, 2024. Data collection tools included the General Data Questionnaire, Summary of Diabetes Self-Care Activities, Self-Efficacy for Diabetes Questionnaire, Connor-Davidson Resilience Scale, and Diabetes-Specific Quality of Life Scale. …”
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Identification of cell-type-specific, transcriptionally active transposable elements using long-read RNA-sequencing data-based comprehensive annotation by Chaemin Lim, Hyunsu An, Jihwan Park

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Universal IoT-Enabled Smart Battery Charging Optimization: Leveraging AI, Automata Theory, and Real-Time Data for Enhanced Lifespan and Efficiency by Arora Divyansh, Goswami Ananya, Ranjan Mritunjay, Sattar Arif Md

“…The system constantly collects and processes data from IoT sensors with real-time charging cycle and battery health feedback. …”
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Cultural adaptation of ENABLE (Educate, Nurture, Advise, Before Life Ends) an early palliative care model for Iranian patients with heart failure and their caregivers: a qualitativ... by Arvin Mirshahi, Ali Khanipour-Kencha, Marie Bakitas, J. Nicholas Odom, Rachel Wells, Arpi Manookian

“…Abstract Background ENABLE (Educate, Nurture, Advise, Before Life Ends) is a model of nurse-led, early palliative care that was originally developed for U.S. patients with advanced cancer and their family caregivers and then adapted for patients with heart failure. …”
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Exposing telomere length's impact on malnutrition risk among older adults residing in the community: Insights from cross-sectional data analysis. by Priscila Rodrigues, Guilherme Furtado, Margarida Martins, Ricardo Vieira, Ariene Orlandi, Sónia Brito-Costa, Ana Moisão, Ligiana Corona, Daniela Lima, Tábatta Brito

“…<h4>Background</h4>Successful aging is associated with an increase in life expectancy. For a better understanding of the aging process, recognize the relationship between telomere length and nutritional status is a novel approach in geriatric science. …”
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Peran Mediasi Keterlibatan Karyawan Terhadap Pengaruh Kepemimpinan Pelayanan Dan Keseimbangan Kehidupan Kerja Terhadap Kepuasan Kerja Pada Perusahaan Konstruksi Di Kota Serang by Dedy Dadang Priyantono

“…The data analysis process was carried out by applying descriptive statistical techniques and using SEM PLS analysis to test the relationship between research variables. …”
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The molecular mechanism of shade avoidance in crops – How data from Arabidopsis can help to identify targets for increasing yield and biomass production by Yun-jia TANG, Johannes Liesche

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Apple Pomace Integrated Biorefinery for Biofuels Production: A Techno-Economic and Environmental Sustainability Analysis by Ricardo Rebolledo-Leiva, Sofía Estévez, Diógenes Hernández, Gumersindo Feijoo, María Teresa Moreira, Sara González-García

“…The combination of techno-economic process modelling and life cycle assessment is an integrated methodology that addresses quantitative operational data, and evaluates the emissions associated with any process under development. …”
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scGRN-Entropy: Inferring cell differentiation trajectories using single-cell data and gene regulation network-based transfer entropy. by Rui Sun, Wenjie Cao, ShengXuan Li, Jian Jiang, Yazhou Shi, Bengong Zhang

“…Research on cell differentiation facilitates a deeper understanding of the fundamental processes of life, elucidates the intrinsic mechanisms underlying diseases such as cancer, and advances the development of therapeutics and precision medicine. …”
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Transformer-Based Single-Cell Language Model: A Survey by Wei Lan, Guohang He, Mingyang Liu, Qingfeng Chen, Junyue Cao, Wei Peng

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