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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Optimization of the Preparation Process of Flavonoid Solid Beverage from Ficus hirta Vahl. by Lin YANG, Shanyan ZHAO, Fan YANG, Hangying ZHANG, Bocheng HUANG, Juncheng ZHANG

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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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Major diet of common carp (Cyprinus carpio L.) over different developmental stages in rice-field: Agroecological interactions between fishes and rice in Sichuan, China, based on DN... by Mengling Wu, Ruisen Lu, Wenhao Huang, Hongyi Liu, Yan Zou, Ling Tao, Yun Sun, Qiong Wang, Keyi Tang

“…We examined variations in the dietary compositions of common carp across three developmental stages to capture adaptations to seasonal changes in food resource availability. Additionally, we detected insect pests (species from the genera Macrosteles and Mythimna) and weeds (Eleusine indica, Alternanthera philoxeroides, Mazus japonicus, and Poa annua) in the diets of common carp, confirming the ecological benefits of common carp in rice fields by reducing insect pests and weeds. …”
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Genome-wide characterization and expression analysis of LBD transcription factors in Ziziphus jujuba var. spinosa: putative roles in tissue development and abiotic stress adaptatio... by Meng Li, Qiaoyun Zhang, Shuhui Zhou, Ruixue Wang, Yao Zhao, Jibiao Geng

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Numerical analysis of spectroscopic studies using supercontinuum generated by noise-like pulses by Christian A. Salcedo-Rodriguez, Eloisa Gallegos-Arellano, Julian M. Estudillo-Ayala, Juan M. Sierra-Hernandez, Jose D. Filoteo-Razo, Maximino R. Tapia-Garcia, Daniel A. Ramos-Gonzalez, Roberto Rojas-Laguna, Juan C. Hernandez-Garcia

“…Simulations were also performed for CH4, showing a visible absorption spectrum, thereby substantiating that these sources powered by NLPs can detect various gases with a high degree of selectivity.…”
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β-1,3-Glucan Recognition Protein Can Inhibit the Proliferation of <i>Bombyx mori</i> Cytoplasmic Polyhedrosis Virus by Yinong Zhang, Jiming Yan, Yukai Xie, Xiong Wang, Feifei Ren, Haixu Bian, Jingchen Sun

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Leveraging Blockchain Technology With Enhanced MDSVA for Robust Meteorological Sensor Data Validation by Md Abdullah Al Mamun, Mei Li, Bijon Kumar Pramanik, Faisal Hussain, A. Z. M. Shakilur Rahman

“…Our enhanced MDSVA introduces a sophisticated five-component validation function that simultaneously addresses drift and noise compensation, environmental adaptation, periodic variations, dynamic thresholds, and transient adjustments. …”
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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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Advancements in Herpes Zoster Diagnosis, Treatment, and Management: Systematic Review of Artificial Intelligence Applications by Dasheng Wu, Na Liu, Rui Ma, Peilong Wu

“…Hospital-derived data were the primary source (15/26, 57.7%), followed by public databases (6/26, 23.1%) and internet data (5/26, 19.2%). …”
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Theoretical and technical concept of cemented backfill material for flexible enhanced thermal energy storage in coal underground space by Chao LYU, Wenyu LYU, Qiang SUN, Panshi XIE, Ding LANG, Songtao JI, Jianjun HU

“…In general, CBM–FETES realizes the full integration of mines and variable energy sources and enriches the connotation of filling mining. …”
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Vocational teacher training in Russia at the present stage: Conceptual aspect by В. A. Fedorov, P. F. Kubrushko, V. V. Dubitskiy, A. V. Feoktistov

“…The third component outlines the expected state indicated by the necessary conditions for the implementation of conceptual principles of vocational teacher training and concerning the selection of teaching content, building the structure of the system of vocational teacher training system supported with relevant management tools.Practical significance. …”
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Harmonic State Estimation Method Based on Bayesian Optimized Elastic Network Regression by Siqi MA, Zhong WANG

“…Firstly, when the least square method is used to estimate the harmonic state, the weighted 1-norm and 2-norm are added to the penalty function at the same time; In addition, in order to estimate the harmonic state more efficiently and accurately, the Gaussian process and Bayesian optimization are applied to select the weight of 1-norm and 2-norm; Finally, the effectiveness of the proposed method is verified in IEEE14 node. …”
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Catalytic Effects of Different Metal Salts on Cotton Waste Textiles by Pyrolysis: Pyrolysis Behavior and Properties of Activated Carbon by Yixiao Zhang, Xingjie Zhao, Si Chen

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Genetic Factors for the Natural Elimination of Hepatitis C Virus by N. V. Vlasenko, T. A. Loscutova, K. O. Mironov, A. S. Esman, E. A. Dunaeva, T. A. Semenenko, D. B. Dubodelov, M. I. Korabelnikova, Z. B. Ponezheva, V. V. Makashova, K. G. Omarova, A. V. Sacuk, G. G. Solopova, S. N. Kuzin, V. G. Akimkin

“…Additionally, the significance of polymorphisms at the intragenic and intergenic levels was assessed using modern bioinformatic resources in the field of functional genomics.Results. …”
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Efficacy and safety of musculoskeletal manipulations in elderly population with musculoskeletal disorders: a systematic review by Alessandro Mauro, Donatella Bagagiolo, Michela Persiani, Luca Cicchitti, Luca Vismara, Irene Bruini, Francesca Buffone

“…Introduction Non-pharmacological interventions, including musculoskeletal manipulations (MMs), have been proven effective for musculoskeletal disorders.Objectives To evaluate if MMs, including osteopathic manipulation and chiropractic care, are effective to improve quality of life, pain intensity and function in older adults with musculoskeletal disorders.Design Systematic review.Data sources A systematic search was conducted on MEDLINE/PubMed, EMBASE, Scopus, Web of Science, CINAHL, Cochrane Library, from database inception up to 2 January 2025.Eligibility criteria Randomised controlled trials, controlled non-randomised trials and open label trials evaluating the efficacy and safety of MM such as osteopathic manipulation, chiropractic manipulation, myofascial release, craniosacral therapy, as monotherapy or adjunctive therapies in older people (age ≥65 years) with musculoskeletal disorders. …”
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Roller-integrated compaction monitoring and assessment of high and low liquid limit silt subgrades using the Green spline interpolation algorithm by Yuchen Yan, Yanwen Zhu, Xian Yang, Lan Qiao, Chuping Wu, Zaizhan An, Qinglong Zhang, Ren Liu, Wang Guo

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Environmental DNA as a tool for soil health monitoring and unveiling new ecological frontiers by Yuan Zhang, Weijun Lu, Kaihang Xing, Fen Guo, Qingping Du, Xinfei Zhang, Fan Zhang, Zongyao Qian, Feilong Li

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Prediction of Genes Related to Positive Selection Using Whole-Genome Resequencing in Three Commercial Pig Breeds by HyoYoung Kim, Kelsey Caetano-Anolles, Minseok Seo, Young-jun Kwon, Seoae Cho, Kangseok Seo, Heebal Kim

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circPTN Promotes the Progression of Non-Small Cell Lung Cancer through Upregulation of E2F2 by Sponging miR-432-5p by Jiayuan Su, Jinrong Zhou, Yachan Feng, Haojie Zhang, Xinyu Zhang, Xiaorong Zhao, Yong Li, Xueling Guo

“…Non-small cell lung cancer (NSCLC) is one of the most prevalent cancers, accounting for around 80% of total lung cancer cases worldwide. Exploring the function and mechanism of circRNAs could provide insights into the diagnosis and treatment for NSCLC. …”
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