LOCAL BARLEY ACCESSIONS FROM ETHIOPIA RESISTANT TO POWDERY MILDEW by N. V. Alpatieva, R. A. Abdullaev, I. N. Anisimova, N. K. Gubareva, O. N. Kovaleva, E. E. Radchenko

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From life cycle assessment to grass‐based agriculture: A review and application by Yutong Li, Shu Jin, Xiaoping Xin, Yi An, Lili Huo, Changliang Shao, Lulu Wang, Xiaoyu Zhu

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Application of the implementation research logic model for evaluating a framework for disseminating arthritis-appropriate evidence-based interventions by K. L. Carluzzo, L. E. Bernstein, J. Chevan, E. Erck, H. Murphy, T. Radske-Suchan, B. Engebretsen, K. E. Schifferdecker

“…Specifically, hubs partner with healthcare systems by coordinating and supporting networks of community-based organizations that provide patients with access to health-related resources and services [(such as Arthritis-Appropriate Evidence-Based Interventions (AAEBIs)]. …”
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Scenario-based assessment design: an implementation and analysis of Iranian EFL learners’ writing performance by Masumeh Rahimivand, Saeideh Ahangari, Nasrin Hadidi Tamjid

“…It also revealed that the SBA model significantly improved coherence and cohesion and lexical resources. SBA can acquire further backing and function as a proficient instructional and evaluative framework among teachers, educators, stakeholders, curriculum planners, and syllabus designers for EFL learners.…”
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Melatonin: A Novel Indolamine in Oral Health and Disease by V. K. Chava, K. Sirisha

“…Recent studies, by Claustrat et al. (2005), detected few extrapineal sources of melatonin like retina, gastrointestinal tract, and salivary glands. …”
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Development vectors for research libraries: the review of the key reports at the IFLA World Library and Information Congress 2019 by N. S. Redkina

“…As a result, it was determined that libraries choose various ways and new methods of work to support researchers: by analyzing user needs; integrating librarians into the research life cycle; implementing the principles of open science and open access; developing discovery services and expanding the functionality of information resources; using artificial intelligence technologies, augmented and virtual reality, etc. …”
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CircRALGPS2 modulates chicken follicle development through promotion of granulosa cell apoptosis and autophagy via the miR-200a-3p/TGFβ2/SMAD pathway by Haorong He, Xinghong Yu, Can Cui, Yao Zhang, Zhuanjian Li, Shunshun Han, Huadong Yin

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Effects of Mogroside V on Quality and Antioxidant Activity of Boar Frozen–Thawed Sperm by Heming Sui, Xin Wang, Kunlong Hu, Xiaoyu Zuo, Haonan Li, Zhengyu Diao, Jiajing Feng, Yunhai Zhang, Zubing Cao

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Genome-wide identification and expression analysis of bHLH gene family revealed their potential roles in abiotic stress response, anthocyanin biosynthesis and trichome formation in... by Guohua Ding, Yanping Shi, Kerui Xie, Hongbin Li, Guanghui Xiao

“…IntroductionLicorice stands out as an exceptional medicinal resource with a long history of application, attributed to its substantial pharmacological potential. …”
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Prediction of stable structure and unique charge transfer in Li–Pt intermetallic compounds under pressure by Wenlin Xu, Dengjie Yan, Liguo Zhu, Yifei Wang, Lingxin Kong, Bin Yang, Baoqiang Xu

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Using Landscape Metrics of Pixel Scale Land Cover Extracted from High Spatial Resolution Images to Classify Block-Level Urban Land Use by Haofeng Luo, Xiaomei Yang, Zhihua Wang, Yueming Liu, Huifang Zhang, Ku Gao, Qingyang Zhang

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Diverse vegetation responses to solar farm installation are also driven by climate change by Chuandong Wu, Hu Liu, Lemin Wei, Yang Yu, Wenzhi Zhao, Li Guo, Zhibin He, Omer Yetemen, Dawen Yang

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Genetic Basis and Simulated Breeding Strategies for Enhancing Soybean Seed Protein Content Across Multiple Environments by Xu Sun, Bo Hu, Wen-Xia Li, Hai-Long Ning

“…Soybeans are a primary source of plant-based protein, with seeds containing approximately 40% protein—a key quality trait. …”
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Liver transplantation from 73-year-old cadaveric donor by M. N. Kornilov, M. G. Minina, I. A. Miloserdov, D. N. Kruglov, R. S. Chaikin, A. G. Malakhov, S. I. Zubenko, S. V. Gautier

“…Deceased donor organs are the prevailing source in most transplantation centers. However, there is an organ shortage because of the increasing number of patients in need of transplantation. …”
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“Locality – Adaptation” Research of Hydropower Resettlement Communities in the Jinsha River Basin: A Case Study of Ludila Hydropower Station by Fang WANG, Zhuoqi LI, Haoyi XU, Jiaqi YAN

“…At the settlement scale, the Mask Region-based Convolutional Neural Network (Mask R-CNN) deep learning model is utilized to identify architectural spatial features, categorizing three typical building types: traditional pitched-roof buildings, uniformly planned flat-roof buildings, and color steel plate-modified structures. Through multi-source data fusion (including remote sensing, demographic statistics, and compensation records) and field investigations, the research quantitatively analyzes the “locality – adaptation” reconstruction process of resettlement communities across the three spatial dimensions of living, production, and cultural spaces.Results1) Land cover evolution: Water storage of hydropower station inundates 37.12 km2 of land (including 21.61 km² of high-quality cultivated land), resulting in a loss of 43.68% of settlement production space. 2) Adjustment of architectural space: 65.8% of dwellings in the original villages are traditional timber-earth buildings with a tile roof, which adapt to the climate environment of concentrated rainfall and sufficient sunshine in the Jinsha River Basin. 48.7% of the resettlement sites adopt unified flat roof planning, and 51.3% realize functional optimization through self-construction or renovation, with the average renovation area reaching 230.9 m2. 3) Transformation of livelihood system: The annual compensation mechanism only restores 15.79% of the cultivated land allocation before resettlement, and the proportion of compensation income drops from 82.71% in the initial stage of relocation to 33.15% after long-term resettlement, driving the adjustment of crop structure to high value-added cash crops. 4) Cultural space reconstruction: In the context of the disappearance of traditional water transport functions, the three cultural relics reconstructed in different places show a symbolic turn. …”
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QoS Aware Task Scheduling Using Hybrid Genetic Algorithm in Cloud Computing by Keyvan Atbaee Tabary, Homayun Motameni, Behnam Barzegar, Ebrahim Akbari, Hossien Shirgahi, Mehran Mokhtari

“…PSO-SMPIA and GA-SMPIA algorithms are presented for task scheduling and resource allocation with the aim of reducing makespan and total execution time, and increasing resource utilization in CC. …”
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Power Communication Network Recovery from Large-Scale Failures Based on Reinforcement Learning by Huibin JIA, Yonghe GAI, Baogang LI, Hongda ZHENG

“…Regarding this model, a heuristic algorithm based on reinforcement learning is proposed, in which the link recovery resources and the degree of importance of the damaged link in the failed service are taken into account to set the reward and penalty functions as well as the selection rules. …”
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Investigating the AGN-neutrino connection with public IceCube data by Kuhlmann Julian, Capel Francesca

“…We present the first application of a newly developed hierarchical Bayesian analysis framework for the detection of point-like sources of high-energy neutrinos. …”
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Genome-wide identification, characterization and expression analysis of CNGC Genes in moso bamboo (Phyllostachys edulis) by Jiaqi Tan, Xueyun Xuan, Shiying Su, Hui Guo, Yang Jiao, Zhijun Zhang

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Identification of multiple power quality disturbances in hybrid microgrid using deep stacked auto-encoder based bi-directional LSTM classifier by Ravi Kumar Jalli, Lipsa Priyadarshini, P.K. Dash, Ranjeeta Bisoi

“…Thus to design an effective PQD recognition system, this paper proposes a novel time-frequency analysis method based on adaptively fast complementary ensemble local mean decomposition (AFCELMD) technique that decomposes the multicomponent PQD signal into a series of demodulated product functions (PFs). Out of the several PFs the most sensitive one is selected adaptively and used for feature extraction and classification through a deep stacked auto-encoder (dSAE) hybridized with a time-recursive bi-directional long short term memory (BiLSTM) network classifier. …”
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