Comparative analysis of Microtus fortis and murine hosts reveals a correlation between BRD4 and hepatic inflammation during Schistosoma japonicum infection by Ming Yuan, Mingrou Wu, Yunyi Hu, Siyu Zhao, Jehangir Khan, Zhanhong Yuan, Yun Huang, Tianqiong He, Zhijun Zhou, Jia Shen, Zhongdao Wu

“…BRD4-associated gene expression patterns were analyzed through correlation-based classification, followed by protein–protein interaction network construction and functional enrichment analyses. …”
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Spatio-temporal analysis of urban expansion and land use dynamics using google earth engine and predictive models by Ang Zhang, Aqil Tariq, Abdul Quddoos, Iram Naz, Rana Waqar Aslam, Elgar Barboza, Sajid Ullah, M. Abdullah-Al-Wadud

“…The study presents an effective analytical method integrating cloud processing, GIS, and change simulation modeling to evaluate urban growth spatiotemporal patterns and LULC changes. …”
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Polymorphism of the prolactin gene and its association with reproductive traits in F2 local crossed chickens by Ega Rosalinda, Heru Sasongko, Dyah Maharani

“…Prolactin (PRL) is a gene involved in a complex hormonal network that regulates reproduction in chickens. In this study, three local chicken breeds were crossed and had been produce a second filial (F2) generation, referred to as the F2 local crossed chicken. …”
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Interference in melanoma CD248 function reduces vascular mimicry and metastasis by Cheng-Hsiang Kuo, Ya-Fang Wu, Bi-Ing Chang, Chao-Kai Hsu, Chao-Han Lai, Hua-Lin Wu

“…Horizontal and vertical cell migration assays were performed to analyze cell migration activity, and cell-patterned network formation on Matrigel was used to evaluate vascular mimicry activity. …”
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Employing the concept of stacking ensemble learning to generate deep dream images using multiple CNN variants by Lafta Alkhazraji, Ayad R. Abbas, Abeer S. Jamil, Zahraa Saddi Kadhim, Wissam Alkhazraji, Sabah Abdulazeez Jebur, Bassam Noori Shaker, Mohammed Abdallazez Mohammed, Mohanad A. Mohammed, Basim Mohammed Al-Araji, Abdulkareem Z. Mohmmed, Wasiq Khan, Bilal Khan, Abir Jaafar Hussain

“…Performance of the proposed model was evaluated across three octaves to amplify the maximum possible patterns and features of the base image. …”
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Study on multi-scale oil displacement mechanism polymer/nanoparticle composite flooding by Bei Wei, Bei Wei, Ningyu Zheng, Ningyu Zheng, Yu Xue, Yu Xue, Jian Hou, Jian Hou, Yongsheng Liu, Yongsheng Liu, Zhixin Guo, Zhixin Guo, Xuwen Qin, Xuwen Qin, Qingjun Du, Qingjun Du

“…Subsequently, we conducted two-dimensional microscopic flooding experiments to evaluate sweep efficiency and analyze residual oil distribution patterns. …”
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Hybrid CNN–LSTM Model With Soft Attention Mechanism for Short‐Term Load Forecasting in Smart Grid by Syed Muhammad Hasanat, Muhammad Haris, Kaleem Ullah, Syed Zarak Shah, Usama Abid, Zahid Ullah

“…The proposed model leverages Convolution Neural Networks (CNNs) to extract spatial patterns, LSTMs to capture temporal dependencies, and attention mechanisms to prioritize important information, enhancing predictive performance. …”
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Unlocking the promise of virtual care in hospitals: the Smarter Hospitals Project protocol by Reema Harrison, Rebecca Mitchell, Ramya Walsan, Maryam Sina, Robyn Clay-Williams, Alexander Cardenas, Michelle Moscova, Dalal Baumgartner, Mashreka Sarwar, Johanna Westbrook, Elizabeth Manias, Natalie Taylor, Rebecca Lawton, Sabe Sabesan, Virginia Mumford, Tim Badgery-Parker, Deepak Bhonagiri, Craig Nelson, Wei Chua, Bradley Christian, Kate Churruca, Jeffrey Braithwaite

“…Firstly, linked hospitalisation data will be used to produce fundamental new knowledge of patterns of virtual outpatient care use and the associated health service outcomes, including for priority populations. …”
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Machine Learning Techniques Applied to COVID-19 Prediction: A Systematic Literature Review by Yunyun Cheng, Rong Cheng, Ting Xu, Xiuhui Tan, Yanping Bai

“…Based on predetermined inclusion and exclusion criteria, 136 eligible studies were ultimately selected from 5731 preliminarily screened publications, and the datasets, data preprocessing, ML models, and evaluation metrics used in these studies were assessed. …”
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Earth Observation Data to Support Environmental Justice: Linking Non‐Permitted Poultry Operations to Social Vulnerability Indices by Mirela G. Tulbure, Júlio Caineta, Brooke Cox, Stephen V. Stehman, Ayse Ercumen, Rebecca Witter, Ryan Emanuel, Dana E. Powell, Kemp Burdette, Sherri White‐Williamson, Shea Tuberty

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Mapping of Local Climate Zones and Heat Hazard Assessment from a Historical-Future Perspective by Jiayi Ren, Jun Yang, Wenbo Yu, Nan Cong, Xiangming Xiao, Jianhong Xia, Xueming Li

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Global Research Trends in Biomimetic Lattice Structures for Energy Absorption and Deformation: A Bibliometric Analysis (2020–2025) by Sunny Narayan, Brahim Menacer, Muhammad Usman Kaisan, Joseph Samuel, Moaz Al-Lehaibi, Faisal O. Mahroogi, Víctor Tuninetti

“…The results identify China as the most prolific contributor, with substantial institutional support and active collaboration networks, especially with European research groups. …”
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Identification of diagnostic genes for myocardial ischemia reperfusion injury associated with metabolic syndrome through the integration of bioinformatics analysis, molecular docki... by Shufang Liu, Shufang Liu, Yan Zhang, Yan Zhang, Yanan Zhao, Ping Wu, Ping Wu, Shouyuan Tian, Han-Qing Pang, Han-Qing Pang, Zhifang Wu, Zhifang Wu, Sijin Li, Sijin Li

“…Drug candidates were predicted via PPI networks, CTD, and molecular docking, followed by experimental evaluation of dexamethasone.ResultsFive hub genes—DAK, GTF3C5, KCNMB1, TRAF1, and ZNF692—were identified, with distinct expression patterns (DAK/GTF3C5 downregulated; KCNMB1/TRAF1/ZNF692 upregulated). …”
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Multimodal integration of homotopic connectivity and transcriptomic signatures in major depressive disorder with sleep disorder comorbidity by Mingyu Li, Yudan Ding, Yangpan Ou, Huabing Li, Feng Liu, Dongsheng Lv, Ping Li, Bing Lang, Wenbin Guo

“…This study aimed to identify distinct VMHC patterns in MDD patients with SD and without SD and investigate their genetic correlates. …”
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Multi-Scenario Simulating the Effects of Land Use Change on Ecosystem Health for Rural Ecological Management in the Zheng–Bian–Luo Rural Area, Central China by Hejie Wei, Qing Han, Yu Ma, Wenfeng Ji, Weiguo Fan, Mengxue Liu, Junchang Huang, Ling Li

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Recurrence-Based Techniques for Data-Driven Fault Diagnosis and Monitoring in Neutral-Point-Clamped Inverters by Lincoln Moura De Oliveira, Menaouar Berrehil El Kattel, Esio Eloi Dos Santos Filho, Juan C. Vasquez, Josep M. Guerrero, Fernando Luiz Marcelo Antunes

“…Three operating conditions were evaluated: an RL load, an induction motor, and an open-circuit fault scenario. …”
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Identification of Periodontal Disease Diagnostic Markers Via Data Cross-Validation by Juan Du, Yi Liu, Zhenhua Luo, Minfeng Wang, Yitong Liu

“…Weighted gene correlation network analysis was used to identify key molecular modules. …”
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Embryonic heat conditioning induces paternal heredity of immunological cross- tolerance: coordinative role of CpG DNA methylation and miR-200a regulation by Padma Malini Ravi, Tatiana Kisliouk, Shelly Druyan, Amit Haron, Mark A. Cline, Elizabeth R. Gilbert, Noam Meiri

“…Additionally, analysis of sperm methylation patterns in EHC mature chicks led to identification of genes associated with neuronal development and immune response, indicating potential neural network reorganization. …”
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An FPGA-Based SiNW-FET Biosensing System for Real-Time Viral Detection: Hardware Amplification and 1D CNN for Adaptive Noise Reduction by Ahmed Hadded, Mossaad Ben Ayed, Shaya A. Alshaya

“…Additionally, a 1D CNN model is employed for adaptive noise reduction, filtering out non-linear noise patterns and achieving an approximate 75% noise reduction across a broad frequency range. …”
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Dual role of Cathepsin S in cutaneous melanoma: insights from mendelian randomization and bioinformatics analysis by Linsa Zhou, Qiang Zhou, Qian Guo, Peng Lai, Chen Rui, Wanqing Li, Xuemei Chen, Yue Zhuo, Xiaoping Zhong, Sen Lin

“…Finally, the role of target genes in CM was revealed by pan-cancer analysis, expression and immune-infiltration evaluations, immuno-checking targeting analysis, immunotherapy response analysis, survival analysis, and protein-protein interactions (PPI) network and enrichment analyses. …”
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