LeafDPN: An Improved DPN Model for the Identification of Bacterial Blight in Soybean in Natural Environments by Rui Cong, Ying Xu, Hao Su, Jiaying Zhou, Yuxi Hu, Dawei Xin, Qingshan Chen, Rongsheng Zhu, Shuang Song

“…<i>glycinea</i>, is one of the most devastating diseases in soybean with significant yield losses ranging from 4% to 40%. The timely detection of BBS is the foundation for disease control. …”
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Adaptive conflict resolution for IoT transactions: A reinforcement learning-based hybrid validation protocol by Mohammad A. Al Khaldy, Ahmad Nabot, Ahmad al-Qerem, Issam Jebreen, Abdulbasit A. Darem, Asma A. Alhashmi, Mohammad Alauthman, Amjad Aldweesh

“…The RL-based mechanism continuously adapts decision-making by learning from system states, prioritizing transactions, and dynamically resolving conflicts using a reward function that accounts for key performance parameters, including the number of conflicting transactions, cost of aborting transactions, temporal validity constraints, and system resource utilization. …”
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Assessing chronic obstructive pulmonary disease risk based on exhalation and cough sounds by Geyi Wen, Chenshuo Wang, Wei Zhao, Jinliang Meng, Yanyan Xu, Ruiqi Wang, Zijing Zeng

“…Following this, each individual completed pulmonary function tests and participated in questionnaire surveys. …”
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Mitochondrial genome of Lonicera macranthoides: features, RNA editing, and insights into male sterility by Zhong Chen, Wei Zhuo, Yuqi Wang, Junpeng Qi, Li Liu, Sheng’E. Lu, Han Wang, Tao Sun, Liqiang Wang, Fengming Ren, Fengming Ren

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Exploring the role of mitochondrial metabolism and immune infiltration in myocardial infarction: novel insights from bioinformatics and experimental validation by Jingyi Hou, Jingyi Hou, Jingyi Hou, Lihan Wang, Lihan Wang, Naiqiang Zhu, Xueli Li

“…This study aimed to clarify the roles of mitochondrial metabolism and immune infiltration in MI, using a combination of bioinformatics analyses and experimental validation.MethodsMI chip data (GSE96561, GSE181872, and GSE183272) were obtained from the Gene Expression Omnibus (GEO) database, and mitochondrial gene data were sourced from the MitoCarta3.0 database. Differentially expressed genes (DEGs) were identified and subjected to functional enrichment analyses. …”
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Regularities of the Natural Evolution of the Proliferative Process in Diabetic Retinopathy. The Concept of Remission of Proliferative Diabetic Retinopathy by S. V. Sdobnikova

“…Signs of remission of proliferative diabetic retinopathy (PDR), regardless of the cause of occurrence (spontaneous or resulting from treatment) are: absence of ophthalmoscopically detectable neovessels; increased/appearance of the fibrous component of proliferation, which is accompanied by traction deformation of the retina. …”
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Glyceraldehyde-3-phosphate dehydrogenase acts as a mitochondrial trans-S-nitrosylase in the heart. by Mark J Kohr, Elizabeth Murphy, Charles Steenbergen

“…Mitochondrial proteins have been shown to be common targets of S-nitrosylation (SNO), but the existence of a mitochondrial source of nitric oxide remains controversial. SNO is a nitric oxide-dependent thiol modification that can regulate protein function. …”
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Fatty acid composition and antioxidant capacity of defatted, non-defatted and oils extracts of Quercus ilex fruit from Algeria by Hadjira Guenane, Boulanouar Bakchiche, Ramazan Erenler, Ilyas Yildiz, Omar M. Khalaf, Amal M. Saad, Mosad A. Ghareeb

“…Background The nutritional value and health-promoting properties cause the fruits (acorns) of Quercus ilex to have great potential for use in the food industry as functional ingredients and antioxidants source. Objective In this study, the amount of total phenolic compounds, flavonoids in different extracts (defatted, non-defatted) and composition of fatty acids in the fruits oils of Quercus ilex were investigated. …”
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Investigation and Application of Water-Saving Monitoring Technology in Public Institutions by WANG Kang, ZHENG Yongjie, ZHANG Zhen, TANG Yanping, SONG Wenhao, GUO Xiaoming

“…Considering the characteristics of water use and the current situation of water facilities in public institutions,this study comprehensively employs the Internet of Things (IoT),cloud deployment,databases,three-dimensional (3D) visualization,and other advanced techniques to create a water-saving reconstruction scheme with integrated software and hardware for public institutions.Therefore,a smart water management platform for public institutions is built to implement advanced water-saving concepts and improve the water management level.The main research results are as follows:① By intelligent remote monitoring equipment,the multiclass water measurement network is designed to realize the fine collection of zonal water use data;② this study designs a reconstruction scheme of water facilities and explores the utilization mode of unconventional water sources to improve the utilization efficiency of water resources;③ multiple algorithms and statistical methods are used to analyze the time series of water use data,and thus this study realizes the analysis of pipeline network leakage and damage,identification of water use anomalies,and water-saving statistical analysis,and the investigation of water use laws;④ the platform with functions of monitoring and early warning is established to achieve real-time remote monitoring of water use,statistical analysis of historical water use,and identification and warning of pipe network leakage,so as to detect water anomalies in time and save water.The research results are first applied to the construction of the water-saving institution of the Pearl River Water Resources Commission to build a benchmark for the construction of water-saving institutions in the southern region.On the basis of application experience,the comprehensively integrated monitoring technology for water-saving in public institutions is developed,which provides a new idea for public institutions to save water.…”
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The global, regional, and national brain and CNS cancers burden and trends from 1990 to 2021 by Jian Zhou, Long Gu, Fengling Du, Chun Li, Fan Zhang, Xianhui Zhang, Jinwei Pang, Bingqing Xie, Xiangyu Wang, Jianhua Peng, Yong Jiang

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Submillimeter and Mid-infrared Variability of Young Stellar Objects in the M17 H II Region by Zhiwei Chen, Doug Johnstone, Carlos Contreras Peña, Jeong-Eun Lee, Sheng-Yuan Liu, Gregory Herczeg, Steve Mairs, Geumsook Park, Kee-Tae Kim, Mi-Ryang Kim, Keping Qiu, Yao-Te Wang, Xu Zhang, Megan Reiter, The JCMT Transient Team

“…This mid-IR fractional variability as a function of evolutionary stage result is similar to what has previously been found for YSO variability within the Gould Belt and the intermediate-mass star formation region M17 SWex, though overall less variability is detected in M17 in submillimeter and mid-IR. …”
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A survey on the applications of transfer learning to enhance the performance of large language models in healthcare systems by Anmol Rahujo, Daniya Atif, Syed Azeem Inam, Abdullah Ayub Khan, Sajid Ullah

“…This research analyzes different transfer learning methods, including inductive, transductive, and unsupervised techniques, while demonstrating their effectiveness in detecting COVID-19 from chest X-rays and multi-source disease evaluation. …”
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Unveiling the complex double-edged sword role of exosomes in nasopharyngeal carcinoma by Xueyan Huang, Yuedi Tang

“…Exosomes are small membrane vesicles at the nanoscale that transport physiologically active compounds from their source cell and have a crucial function in signal transmission and intercellular message exchange. …”
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Face Recognition Door Security System and Contactless Bell by Rini Irnayanti, Elfizon Elfizon

“…Face recognition uses OpenCV based on an open source library to recognize faces in realtime using the Python programming language.  …”
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Trade-offs and synergies for urban Production-Living-Ecological spatial Patterns-Comparison study between Fuzhou, China, and Saskatoon, Canada by Xi Wang, Xiaomei Li, Jinming Sha, Hao Zhang, Eshetu Shifaw, Xulin Guo, Shuhui Lai, Jinliang Wang

“…First, the paper identified the PLE spaces by integrating multi-source data, then analyzed the PLE spatial agglomeration characteristics by using the average nearest neighbor and kernel density analysis, finally detected the trade-offs and synergies between functional spaces by Spearman correlation and bivariate spatial autocorrelation. …”
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Molecular mechanisms of leukemogenesis by D. A. Domninskiy

“…Such targets can be enzymes, proteins with other (non-enzymatic) functions, genomic DNA, mRNA, or, for example, certain lipid components of cell membranes. …”
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Effect of PM2.5 exposure on susceptibility to allergic asthma in elderly rats treated with allergens by Lianlian Zhao, Xiaolin Ding, Li Zhou, Chenchen Song, Taisheng Kang, Yanfeng Xu, Yunpeng Liu, Yunlin Han, Wenjie Zhao, Boxiang Zhang, Dan Xu, Jianguo Guo

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Dietary compositions and their seasonal shifts in Japanese resident birds, estimated from the analysis of volunteer monitoring data. by Tetsuro Yoshikawa, Yutaka Osada

“…Determining the composition of a bird's diet and its seasonal shifts are fundamental for understanding the ecology and ecological functions of a species. Various methods have been used to estimate the dietary compositions of birds, which have their own advantages and disadvantages. …”
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On path length, beam divergence, and retroreflector array size in open-path FTIR spectroscopy by C. E. N. Power, C. E. N. Power, A. Wiacek, A. Wiacek

“…<p>Open-path Fourier transform infrared (OP-FTIR) spectroscopy is an established technique used to measure boundary layer trace gas concentrations, consisting (in this work) of a spectrometer with an active mid-IR source coupled to a single transmitting and receiving telescope, as well as a cube-corner retroreflector array separated from the spectrometer and telescope by an atmospheric path. …”
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Effects of moderate-protein and high-protein diets, including mealworm meal or poultry by-product meal, on immunological variables in healthy adult dogs by Sophie-Kristin Heinze, Jürgen Zentek, Kathrin Büttner, Andreas Moritz, Nadine Paßlack

“…An interaction effect between the dietary protein source and protein level could be detected for the phagocytic activity of blood granulocytes as well as for the plasma concentrations of IgA and IgE. …”
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