The role of mitochondria-related genes and immune infiltration in carotid atherosclerosis: identification of hub targets through bioinformatics and machine learning approaches by Dan Liu, Kun Guo, Min Li, Xiaochen Yu, Xue Guan, Xiuru Guan

“…These findings may provide new insights into therapeutic monitoring and prognosis evaluation.…”
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Prognostic Impact of Phenotypic and Genetic Features of Pancreatic Malignancies by Mikhail B. Potievskiy, Lidia A. Nekrasova, Ivan V. Korobov, Ekaterina A. Bykova, Ruslan I. Moshurov, Pavel V. Sokolov, Peter A. Shatalov, Natalia A. Falaleeva, Leonid O. Petrov, Vladimir S. Trifanov, Sergey A. Ivanov, Peter V. Shegai, Andrei D. Kaprin

“…The pathomorphological and genetic characteristics of pancreatic cancer, reflected in morphological, immunohistochemical, and serological marker expression, reveal key patterns of tumor genotypic changes during carcinogenesis, aiding in prognostic evaluation and clinical strategy development. …”
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Comprehensive Analysis of N6-Methyladenosine (m6A) RNA Methylation Regulators and Tumour Microenvironment Cell Infiltration Involving Prognosis and Immunotherapy in Gastroesophagea... by Duanrui Liu, Mingjie Yuan, Zongming Wang, Liping Sun, Yusong Fang, Xiaoli Ma, Lulu Zhang, Yuanxin Xing, Jingyu Zhu, Yunyun Liu, Wenshuai Zhu, Shuqin Bao, Yanfei Jia, Yunshan Wang

“…RNA N6-methyladenosine (m6A) modification plays a non-negligible role in shaping individual tumour microenvironment (TME) characterizations. However, the landscape and relationship of m6A modification patterns and TME cell infiltration features remain unknown in GEA. …”
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A novel multidimensional framework for bridging conservation gaps and optimizing the system of natural reserves for biodiversity: A case study of Dongying, China by Yifei Xu, Chi Li

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Hyperspectral and LiDAR space-borne data for assessing mountain forest volume and biomass by Rodolfo Ceriani, Sebastian Brocco, Monica Pepe, Silvio Oggioni, Giorgio Vacchiano, Renzo Motta, Roberta Berretti, Davide Ascoli, Matteo Garbarino, Donato Morresi, Francesco Bassi, Francesco Fava

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Impact of urbanization on hydrological balance in urban lakes: a case study of Dianchi Lake by Chen Chen, Mowen Xie, Yan Du, Beining Jia

“…Abstract Urbanization can significantly transform land-cover patterns and modify lacustrine landscapes within urban lake watersheds over relatively short periods. …”
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Bridging the Gap: The State of Global Transplant Research Collaboration by Isabella Faria, MD, Stalin Canizares, MD, Adriana Montalvan, MD, MPH, Paulo N. Martins, MD, PhD, Griffin M. Weber, MD, PhD, Marwan Kazimi, MD, Devin E. Eckhoff, MD

“…Through a comprehensive bibliometric and network analysis of 5 high-impact factor transplantation journals from 2012 to 2021, we evaluated scientific production and collaboration patterns in 9 250 articles. …”
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Phenotypic diversity and provenance variation of Cupressus funebris: a case study in the Sichuan Basin, China by Wang Yan, Yongqi Xiang, Mei Gao, Ruoyu Deng, Yan Sun, Renping Wan, Xianyi Pan, Wanzhen Li, Yu Zhong

“…Furthermore, conifer trees sharing similar growth characteristics tend to display comparable patterns of random variation, suggesting potential underlying genetic mechanisms. …”
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Nonlinear Relationship Between the Elderly’s Perception of Green Spaces and Their Activity Characteristics by Yuanjing WU, Yongyi YOU, Wei ZHOU, Siren LAN

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Land Use/Land Cover Change Impact on Hydrological Process in the Upper Baro Basin, Ethiopia by Tewodros Getu Engida, Tewodros Assefa Nigussie, Abreham Berta Aneseyee, John Barnabas

“…Landsat images were used to classify the LU/LC pattern using ERDAS Imagine 2014 software and the LU/LC were classified using the Maximum Likelihood Algorithm of Supervised Classification. …”
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An Adaptive Intrusion Detection System for Evolving IoT Threats: An Autoencoder-FNN Fusion by J. Jasmine Shirley, M. Priya

“…The Autoencoder captures and reduces the dimensionality of high-dimensional IoT network traffic data, and the FNN distinguishes between normal network behaviour and various intrusion patterns by leveraging its ability to model nonlinear relationships. …”
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Prognostic and therapeutic potential of disulfidptosis-related genes in colon adenocarcinoma: a comprehensive multi-omics study by Ye Song, Haoran Zhu, Junyang Wei, Shanxue Yin

“…The expression patterns of Diaphanous-Related Formin 1 (DIAPH1) and NADH: Ubiquinone Oxidoreductase Subunit B10 (NDUFB10), key components of the prognostic model, were assessed during T cell development. …”
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Identification of cell adhesion related signature for molecular subtyping and prognostic prediction in acute myeloid leukemia by Caifang Zhao, Xiang Weng, Wei He

“…Methods AML patients were grouped into distinct molecular subtypes based on the expression patterns of cell adhesion-related genes. Enrichment analyses were subsequently performed to identify associated biological pathways. …”
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Enhancing Mobile App Recommendations With Crowdsourced Educational Data Using Machine Learning and Deep Learning by Naadiya Mirbahar, Kamlesh Kumar, Asif Ali Laghari

“…The objective of this study is to recommend apps to university students by category based on app usage patterns. Data was used to evaluate these 806 university students to train the Collaborative Filtering (CF) and Contemporary Deep Learning (DL) models. …”
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Deciphering Car Crash Dynamics in Greater Melbourne: a Multi-Model Machine Learning and Geospatial Analysis by Christopher JOHNSON, ZHOU Heng, Richard TAY, SUN Qian(Chayn)

“…In the continually evolving landscape of data-driven methodologies addressing car crash patterns, a holistic analysis remains critical to decode the complex nuances of this phenomenon. …”
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Harnessing digital dividends: A systematic review of ICT initiatives for transformation in Tanzanian agriculture by Victor George

“…Key gaps identified in the literature reveal a limited understanding of ICT usage patterns among marginalized groups and highlight the need for further research into long-term impacts on livelihoods. …”
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Navigating child and adolescent mental health in the digital age by Giorgia Di Iorio, Dario Esposito, Sara Romano, Fabiola Panvino, Benedetta Altomonte, Giulia Conte, Maria Pia Casini, Arianna Terrinoni, Dario Calderoni, Romana Andò, Walter Quattrociocchi, Benedetto Vitiello

“…This article examines the importance of systematically assessing SM use as part of a comprehensive psychiatric evaluation for young individuals. Key factors to consider include the type, content, and purpose of SM use, as well as daily usage patterns and overall screen time. …”
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Advances in gait research related to Alzheimer’s disease by Shuding Yan, Xiaoping Yun, Qiang Liu, Zhenmei Hong, Yufan Chen, Shuijing Zhang

“…In the future, it is hoped that with the results of clinical manifestations, neuroimaging, and electrophysiology, simple and objective gait analysis results can be used as an alternative biomarker for cognitive decline to diagnose dementia early.Research objectiveThis research offers a comprehensive scoping review of the contemporary landscape of clinical gait evaluation. It delineates the pertinent concepts of gait analysis and machine learning in AD and elucidates the intricate interplay between gait patterns and cognitive status.MethodsA comprehensive literature search was conducted within PubMed for all articles published until march 18, 2024, using a set of keywords, including “machine learning and gait “and “gait and Alzheimer.” original articles that met the selection criteria were included.Results and significanceA strong correlation exists between autonomous gait and cognitive attributes, necessitating further investigation into the selective interplay between gait and mental factors. …”
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On the Road to Safety: Examining Children’s Cycling Skills and Physical Activity Levels by Juliane Stark, Michael Meschik

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Reformulation of ultra-processed products in Colombia after the introduction of public health regulations by Elisa M. Cadena, Irieleth Gallo, Victoria Eugenia Soto

“…Regarding other micronutrients, an increase in calcium was observed in baked goods, but no consistent patterns emerged for the remaining vitamins and minerals. …”
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