DT-YOLO: An Improved Object Detection Algorithm for Key Components of Aircraft and Staff in Airport Scenes Based on YOLOv5 by Zhige He, Yuanqing He, Yang Lv

“…Finally, experiments were conducted on the self-built AAD-dataset. The results demonstrated that DT-YOLO significantly improved the mean average precision (mAP). …”
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GNSS-Based Monitoring Methods for Mining Headframes by Xu Yang, Zhe Zhou, Yanzhao Yang, Xinxin Yao, Chao Liu, Lei Liu, Shicheng Xie

“…This study introduces an innovative GNSS-based monitoring system designed to evaluate deformation in mining headframes, effectively addressing the limitations of traditional methods, such as inadequate real-time capabilities and complex data processing requirements. The research was conducted at the Liuzhuang Mine in Anhui Province, China, where a monitoring network was established, consisting of one reference station and eight GNSS stations strategically positioned on sheave platforms and structural supports. …”
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Dynamics of post fire plant community assembly in Doñana coastal dunes by Sergio Chozas, André F. Mira, Manuel Serrano, Nagore G. Medina, Joaquín Hortal, María Cruz Díaz-Barradas

“…Finally, to investigate the spatial structure of the shrub communities, a co-occurrence network was constructed and Moran’s I analyses were conducted. …”
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Machine learning identifies KRT8 dysregulation and endothelial remodeling in Moyamoya disease by Zhiguang Han, Jialong Yuan, Zhenyu Zhou, Yutong Liu, Chengxu Lei, Xun Ye, Yuanli Zhao, Shihao He

“…Key genes were identified through differential analysis and WGCNA. The functions of potential biomarkers were explored by methods such as correlation analysis, KEGG analysis, PPI network, and tube formation experiments. …”
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Roles of MARCKSL1, MCM6, RFC4, and PLAU genes in esophageal cancer and their association with radiotherapy response by Bin Zeng, Xiaoqin Liu, Jun Liu, Hongbo Qiu, Tianwei Zhang, Xiaomei Chen, Lin Wang

“…This study utilized advanced bioinformatics techniques to construct a gene co-expression network for esophageal cancer and compared it with sequencing data from real-world esophageal cancer samples. …”
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Comprehensive bioinformatic profiling of matrix metalloproteinases and their inhibitors: Expression and interaction patterns in head and neck cancer toward predictive biomarkers an... by Rishaba Byju, Sredha Sunil, Sabari Sadhasivan, Rajesh Parsanathan

“…GeneMANIA, STRING, and Metascape analyses highlighted key functional relationships and pathways enriched in MMPs and TIMPs. …”
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Identifying Lactylation-related biomarkers and therapeutic drugs in ulcerative colitis: insights from machine learning and molecular docking by Yao Yang, Xu Sun, Bin Liu, Yunshu Zhang, Tong Xie, Junchen Li, Jifeng Liu, Qingkai Zhang

“…Recent studies have shown that lactylation modifications may be involved in metabolic-immune interactions in intestinal inflammation through epigenetic regulation, but their specific mechanisms in UC still require in-depth validation. Methods We conducted comparative analyses of transcriptomic profiles, immune landscapes, and functional pathways between UC and normal cohorts. …”
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Neuro-VGNB: Transfer Learning-Based Approach for Detecting Brain Stroke by Muhammad Usama Tanveer, Kashif Munir, Bharati Rathore, Abdulatif Alabdulatif, Rutvij H. Jhaveri, Maham Fatima

“…We first extracted features from the VGG16 model, a well-established convolutional neural network known for its efficacy in image classification tasks. …”
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Reorganization of brain connectivity in post-COVID condition: a 18F-FDG PET study by Antoine Verger, Matthieu Doyen, Sebastien Heyer, François Goehringer, Alexandra Bruyere, Elsa Kaphan, Meriem Chine, Amélie Menard, Tatiana Horowitz, Eric Guedj

“…Conclusions Metabolic connectivity is modified in patients with PCC within the hypometabolic post-COVID-19 network, with lasting reorganization evolving over time, suggesting functional adaptation.…”
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Investigating Brain Responses to Transcutaneous Electroacupuncture Stimulation: A Deep Learning Approach by Tahereh Vasei, Harshil Gediya, Maryam Ravan, Anand Santhanakrishnan, David Mayor, Tony Steffert

“…A phase-based analysis was conducted to capture time-based brain responses throughout different stimulation phases. …”
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Application of Artificial Intelligence in rheumatic disease classification: an example of ankylosing spondylitis severity inspection model by Chih-Wei Chen, Hao-Hung Tsai, Chao-Yuan Yeh, Cheng-Kun Yang, Hsi-Kai Tsou, Pui-Ying Leong, James Cheng-Chung Wei

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Investigating the Genetic Links Between Immune Cell Profiles and Bladder Cancer: A Multidisciplinary Bioinformatics Approach by Jin Zhang, Zhongji Jiang, Jiali Jin, Gaohaer Kadeerhan, Hong Guo, Dongwen Wang

“…Differential expression analysis identified immune-related differentially expressed genes (iDEGs), and a protein–protein interaction (PPI) network along with functional enrichment analysis were conducted to explore their roles in tumor development. …”
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Identification of hub genes within the CCL18 signaling pathway in hepatocellular carcinoma through bioinformatics analysis by Jinlei Mao, Yuhang Tao, Keke Wang, Hanru Sun, Manqi Zhang, Liang Jin, Yi Pan

“…A core network of highly expressed proteins in the high-risk group of tumors was constructed. …”
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The Relationship between the Reorganization of Higher Education Institutions' Operations in Poland During the COVID-19 Pandemic and Student Loyalty by Sojkin Bogdan, Bartkowiak Paweł, Michalak Szymon

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Chinese Family With Knobloch Syndrome Associated With a Novel PAK2 Variant Leading to Reduced Phosphorylation Levels by Liwei Shen, Xiaofei Ye, Xiaocui Wang, Conglei Song, Bin Yang

“…This variant was found to be located in the kinase domain and may alter the hydrogen‐bond network, potentially affecting kinase activity. In vitro functional experiments demonstrated that the variant may lead to reduced protein levels. …”
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BAT-TR: Turkish Adaptation of Burnout Assessment Tool (BAT) by Ömer Erdem Koçak, Oğuz Gençay, Wilmar B. Schaufeli

“…Like many other European countries, Turkey has a high rate of employee burnout which negatively affects employees’ cognitive, emotional, and physiological functions. In this regard, accurate measurement of burnout and the development of interventions in Turkey are critical. …”
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Investigating the prevalence of cognitive impairment and dementia in the Northern Ireland Cohort for the Longitudinal Study of Ageing (NICOLA): the Harmonised Cognitive Assessment... by Bernadette Mcguinness, Frank Kee, David Weir, Leeanne O'Hara, Charlotte Neville, Calum Marr, Michael McAlinden

“…The NICOLA-HCAP substudy is funded by the National Institute on Aging as part of a network for enhancing cross-national research within a worldwide group of population-based, longitudinal studies of ageing, all of which are centred around the US-based Health and Retirement Study.Methods and analysis The NICOLA-HCAP study will draw on the main NICOLA cohort (of 8283 participants) and randomly sample 1000 participants aged 65 and over to take part in the substudy. …”
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Social support and depression among community dwelling older adults in Asia: a systematic review by Tengku Amatullah Madeehah Tengku Mohd, Raudah Mohd Yunus, Farizah Hairi, Noran N Hairi, Wan Yuen Choo

“…Social support was found to be measured by multiple components, most commonly through a combination of structural and functional constructs. Perceived social support is more commonly measured compared with received social support. …”
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EBV Reactivation-associated gene signature predicts poor prognosis in nasopharyngeal carcinoma by Qingshuang Luo, Jingyi Long, Longtai Hu, Moyed Alsaadawe, Oluwasijibomi Damola Faleti, Xiaoming Lyu

“…Transcriptomic (RNA-seq) and proteomic (LC-MS/MS) analyses were performed to identify differentially expressed genes. Functional enrichment, protein-protein interaction network analysis, and survival analysis were conducted to elucidate the biological significance of key genes. …”
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New insights into the role of tetraspanin 6, 7, and 8 in physiology and pathology by Monika Mrozowska, Tomasz Górnicki, Mateusz Olbromski, Aleksandra Izabela Partyńska, Piotr Dzięgiel, Agnieszka Rusak

“…Tetraspanins form direct bonds with proteins and other members of the tetraspanin family, forming a hierarchical network of interactions and are thought to be involved in cell and membrane compartmentalisation. …”
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