Degradation capability of Acinetobacter indicus LXX12 on tobacco straw and its whole genome analysis by Xiaoxiao Lu, Huang Ying, Jing Liu, Jianyu Gou, Zhengxiong Zhou, Shishuang Xie

“…Systematic investigations were conducted on its physiological and biochemical characteristics, environmental adaptability, and degradation mechanisms. …”
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Preliminary study of key specific genes involved in tubular ferroptosis in diabetic kidney disease by Ma Li-li, Jiang Lin, Fu Li, Wei Rui, Wang Ting-ting

“…ObjectiveTo explore the key genes of ferroptosis involved in renal tubulointerstitium of diabetic kidney disease （DKD） and its clinical relevance by bioinformatics analysis.MethodsDKD and non-DKD datasets of renal tubulointerstitial tissue were obtained to identify differentially expressed genes （DEGs）， and DKD-specific ferroptosis-related genes. Functional enrichment and protein-protein interaction network （PPI） analyses were conducted. …”
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Evaluating malaria reactive surveillance and response strategies in northeast Cambodia: a mixed-methods study by Win Han Oo, Sovannaroth Siv, Kaungmyat Khant, Win Htike, Meach Monyth Molyta, Thet Lynn, Nilar Aye Tun, Paul A. Agius, Freya J. I. Fowkes

“…Conclusion The RASR strategy implemented in northeast Cambodia was generally functioning well despite some challenges. To improve the RASR strategy to achieve 100% timeliness and progress towards malaria elimination in Cambodia, allocating sufficient budget, capacity building to frontline health workers and better community engagement strategies are required.…”
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Trust-driven approach to enhance early forest fire detection using machine learning by Tayyab Khan, Karan Singh, Bhoopesh Singh Bhati, Khaleel Ahmad, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

“…The intelligent WSN functions by partitioning the forest into suitable clusters and intelligently positioning sensor nodes to guarantee extensive coverage and effective data transmission to the sink. …”
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Results of a Qualitative Exploratory Study: Under Which Conditions Do Very Old People Learn How to Adopt Digital Media? by Julian Wangler, Michael Jansky

“…In the case of most interviewees, the intention to acquire an internet-enabled medium was based on the wish to use a few selected functions. New options for online use were only explored after a while. …”
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The wild bees (Hymenoptera, Apoidea, Anthophila) of the urban nature reserves of Rome (Italy, Latium): a preliminary survey by Lorenzo Fortini, Enrico Ruzzier, Maurizio Mei, Andrea Di Giulio

“…Many studies have been conducted on pollinating insects in recent years, but few data and incomplete knowledge on wild bee faunas in strictly urban environments exist. …”
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Empirical analysis of control models for different converter topologies from a statistical perspective by Hole Shreyas Rajendra

“…A wide variety of such models are proposed by researchers, that include, but are not limited to, bioinspired techniques for rating selection, Neural Network based models for load-based component selection, etc. …”
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Analysis of the molecular mechanism endogenous hormone regulating axillary bud development in Pinus yunnanensis by Haihao He, Junfei Xu, Nianhui Cai, Yulan Xu

“…Furthermore, combined with the results and discussion, the functions of the candidate genes were analyzed and a possible regulatory network was constructed. …”
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Retrofit design for automatic offtake system of natural gas pipeline station by Wenyi TANG, Baotang QU, Xianzhong ZHANG, Mingming ZHANG, Binbin LI, Yuqin WANG

“…Objective With the rapid development of intelligent pipelines and smart pipeline network construction, coupled with the widespread application of unattended station operation technologies, the automatic offtake system plays an increasingly significant role at natural gas pipeline stations. …”
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RESEARCH INTO SPEECH-TO-TEXT TRANFROMATION MODULE IN THE PROPOSED MODEL OF A SPEAKER’S AUTOMATIC SPEECH ANNOTATION by Olesia Barkovska

“…The proposed model of the speaker’s speech automatic annotation has two major functional modules: speech-to-text (STT) і summarization module (SUM). …”
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Unraveling the role of histone acetylation in sepsis biomarker discovery by Feng Cheng, Juxin Deng, Zhaoyang Du, Lei Li, Zhaolei Qiu, Min Zhu, Hongchang Zhao, Hongchang Zhao, Zhenjie Wang, Zhenjie Wang

“…Mendelian randomization (MR), RT-qPCR, and functional assays were conducted for validation.ResultsBLOC1S1, NDUFA1, and SFT2D1 were identified as key biomarkers. …”
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FMRI insights into the neural alterations and clinical correlates in multiple sclerosis: A comprehensive overview of systematic reviews and meta-analyses by Sama Rahnemayan, Arezoo Fathalizadeh, Mehdi Behroozi, Mahnaz Talebi, Amirreza Naseri, Elham Mehdizadehfar

“…Quality assessment was conducted. Results: Included studies reported high methodological quality. fMRI revealed decreased functional connectivity within the default mode network, correlating with impaired information processing speed, and increased connectivity in compensatory networks during working memory tasks. …”
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Identification of pyroptosis related genes and subtypes in atherosclerosis using multiomic and single cell analysis by Kaisheng Jiang, Yang He, Bingjie Hu, Li Quan, Longyun Peng, Juntao Tian, Nan Zhou, Erwen Huang, Qianhao Zhao

“…A multi-omics framework integrating transcriptomics, single-cell RNA sequencing, and machine learning to identify and prioritize pyroptosis-related genes (PRGs) in AS. Functional enrichment, immune infiltration profiling, and protein–protein interaction network analyses were conducted. …”
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Integrated Transcriptomic and Machine Learning Analysis Identifies EAF2 as a Diagnostic Biomarker and Key Pathogenic Factor in Parkinson’s Disease by Peng H, Cheng Y, Chen Q, Qin L

“…Functional enrichment analysis and Gene Set Enrichment Analysis (GSEA) were performed to explore the functional and pathway mechanisms of the identified genes in PD. …”
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Role of ferroptosis-related IREB2 in the shared genetic etiology between smoking and facial aging: Insights from large-scale genome-wide cross-trait analysis by Xueyao Cai, Weidong Li, Wenjun Shi, Yuchen Cai, Jianda Zhou

“…Through pleiotropy and colocalization analyses, IREB2, along with CHRNA5 and AARS1, were identified as having strong evidence linking smoking and facial aging. Functional enrichment, tissue-specific analyses, and gene co-expression network were conducted to further elucidate the functions of these genes. …”
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Evidence-based strategies for optimizing long-term temperature monitoring in offices by Peixian Li, Xiangjun Zhao, Siyan Wang, Thomas Parkinson, Richard de Dear, Xing Shi

“…Long-term monitoring of the thermal environment in office buildings has become increasingly relevant with the rise of wireless sensor networks. However, there is a notable absence of explicit guidelines for implementing monitoring strategies in such contexts. …”
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Hierarchical structure Fe@CNFs@Co/C elastic aerogels with intelligent electromagnetic wave absorption by Hongwei Zhou, Ying Lin, Yongzhen Ma, Luyao Han, Zhixin Cai, Yan Cheng, Qibin Yuan, Wenhuan Huang, Haibo Yang, Renchao Che

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Importance Analysis of Vegetation Change Factors in East Africa Based on Machine Learning by Zhang Xiumei, Ma Bo, Zhang Yijie

“…Six machine learning algorithms were used to establish NDVI prediction models: random forest (RF), BP neural networks (BP), support vector machines (SVM), genetic algorithm (GA), radial basis function (RBF), and convolutional neural networks (CNN). …”
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Identification and expression analysis of ACBPs family members of Hippophae rhamnoides subsp. sinensis Rousi in response to lead stress by CHEN Ke, LI Xinjuan, ZHANG Tian, REN Qiandan, SUN Jing, ZHOU Wu

“…Proteinprotein interaction networks and three-dimensional structure prediction analyses were conducted using the STRING database and the SWISS-MODEL website. …”
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The Significance of Cellular Senescence Hub Genes in the Diagnosis and Subtype Classification of a Comprehensive Database of Gene Expression in Intervertebral Disc Degeneration by Fei Liu, Silong Gao, Ji Yin, Chao Song, Yongliang Mei, Zhaoqiang Wang, Zongchao Liu

“…Methods In this study, we performed differential expression analysis on the GSE124272 and GSE150408 datasets from the GEO database and identified 53 differentially expressed cellular senescence‐related genes (CSRGs). We then conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses to explore their functions and associated pathways. …”
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