Concept of Vector Multicomponent Physical Quantities, Models and Measurement Method by V. N. Nesterov

“…There are three positions of this conception in this paper, which are formulated as follows: vector multicomponent physical quantities are considered as functions of the set of their constituent information components; the communication functions of the specified information components in the models of multicomponent physical quantities are determined by the laws of vector algebra; information models of vector multicomponent physical quantities allow an alternative representation of information components depending on the selected coordinate system.The mathematical model of the vector multicomponent physical quantity is presented. …”
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Pathogenesis of Apical Periodontitis: a Literature Review by Indre Graunaite, Greta Lodiene, Vita Maciulskiene

“…Additionally, a manual search in the cytokine production, cytokine functions and periapical tissue destruction in the journals and books was performed.Results: In total, 97 literature sources were obtained and reviewed. …”
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Mitochondrial genome assembly of the Chinese endemic species of Camellia luteoflora and revealing its repetitive sequence mediated recombination, codon preferences and MTPTs by Xu Xiao, Zhaohui Ran, Chao Yan, Weihao Gu, Zhi Li

“…Phylogenetic reconstruction using mitochondrial PCGs positioned C. luteoflora in closest evolutionary proximity to Camellia sinensis var. sinensis. Selection pressure analysis (Ka/Ks ratios < 1 for 11 PCGs) and nucleotide diversity assessment (Pi values: 0–0.00711) indicated strong purifying selection and low sequence divergence.This study provides the first comprehensive mitochondrial genomic resource for C. luteoflora, offering critical insights for germplasm conservation, comparative organelle genomics, phylogenetic resolution, and evolutionary adaptation studies in Camellia species.…”
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Exploring genetic diversity and genomic inbreeding across local beef cattle breeds by G. Gomez Proto, E. Mancin, A. Quaglia, F. Sbarra, R. Mantovani, C. Sartori

“…Beef cattle breeds from Central and Southern Italy, such as Marchigiana, Chianina, Romagnola, Maremmana, and Podolica, represent a unique genetic resource shaped by centuries of natural and artificial selection. …”
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Automated Dead Chicken Detection in Poultry Farms Using Knowledge Distillation and Vision Transformers by Ridip Khanal, Wenqin Wu, Joonwhoan Lee

“…A dynamic frame selection strategy optimizes resource usage by adjusting monitoring intervals based on the chickens’ age, ensuring real-time performance in resource-constrained environments. …”
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Permanent Magnets in Sustainable Energy: Comparative Life Cycle Analysis by Svetlana Orlova, Anton Rassõlkin

“…Various studies have explored different aspects of the LCA of NdFeB magnets, focusing on production methods, recycling processes, and the environmental impacts of different rare-earth sources. A comparative LCA highlights the significant environmental footprint of rare-earth magnets, underscoring the role of functional unit selection: when assessed per unit of energy density, the environmental impact of NdFeB magnets aligns more closely with alternatives. …”
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EZSCAN for undiagnosed type 2 diabetes mellitus: A systematic review and meta-analysis. by Antonio Bernabe-Ortiz, Andrea Ruiz-Alejos, J Jaime Miranda, Rohini Mathur, Pablo Perel, Liam Smeeth

“…OVID (Medline, Embase, Global Health), CINAHL and SCOPUS databases, plus secondary resources, were searched until March 29, 2017. The following keywords were utilized for the systematic searching: type 2 diabetes mellitus, hyperglycemia, EZSCAN, SUDOSCAN, and sudomotor function. …”
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Factors influencing brain recovery from stroke via possible epigenetic changes by Orjon Rroji, Carla Mucignat

“…Aim: To examine epigenetic changes leading to functional repair after damage to the central motor system.Data sources: A literature search was conducted using medical and health science electronic databases (PubMed, MEDLINE, Scopus) up to July 2023.Study selection: Data were summarized for type of intervention, study design, findings including human and animal studies.Data extraction: Data were extracted and double-checked independently for methodological quality. …”
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Technologie ICT i ich wpływ na życie człowieka i społeczeństwa – wybrane problemy by Tomasz Parys

“…Items in both Polish and English were reviewed. Then their selection was made in terms of content. The next steps were the analysis and synthesis of the selected content. …”
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Research on the fatigue of construction workers by heart rate monitoring by XU Ming-wei, JIN Long-zhe, ZHANG Lin, YU Lu, LIU Jian-guo, TIAN Xing-hua

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FORECASTING THE GROUNDWATER LEVEL OF CEMENT RAW MATERIALS DEPOSIT BASED ON DYNAMIC NEIGHBORHOOD MODELS by I. A. Sedykh

“…After the parametric identification on the teaching data selection, the mathematical model is checked on the test sample.Discussion and Conclusions. …”
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A Dynamic State Cluster-Based Particle Swarm Optimization Algorithm by Zhenya Diao, Fei Yu, Hongrun Wu, Xuewen Xia

“…To address these limitations, this paper introduces a dynamic state cluster-based particle swarm optimization (DSCPSO) algorithm, which employs population phenotypic entropy based on clustering technique. (1) The algorithm provides theoretical splitting points by mathematically analyzing the population into four states: convergence, exploitation, escape, and exploration, enabling more effective parameter adaptive mechanisms. (2) DSCPSO incorporates sinusoidal chaos mapping to dynamically adjust inertia weights, allowing particles to better align with the population’s evolutionary state. (3) During the convergence state, an intelligent particle migration strategy (IPMS) enhances search efficiency within the solution space, preventing unnecessary computational resource consumption. Eventually, comparative analysis with 10 advanced existing algorithms on the CEC2017 and CEC2022 benchmark suites demonstrates that DSCPSO achieves competitive performance across over 70% of the functions, validating the algorithm’s effectiveness and superiority. …”
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Development and characterization of a new TILLING population of common bread wheat (Triticum aestivum L.). by Liang Chen, Linzhou Huang, Donghong Min, Andy Phillips, Shiqiang Wang, Pippa J Madgwick, Martin A J Parry, Yin-Gang Hu

“…The results indicate that this mutant population represents a useful resource for the wheat research community. We hope that the use of this reverse genetics resource will provide novel allelic diversity for wheat improvement and functional genomics.…”
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Ketone bodies in exercise, health and disease: Metabolic mechanisms, pathophysiology, and therapeutic implications by Yin Li, Qingyi Liu, Zhihao Jia, Bin Guo

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Genome-Wide Identification and Evolutionary Analysis of m6A-Related Gene Family in Poplar Nanlin895 by Zeyu Li, Rongxia Liu, Mingqiang Zhu, Jinye Zhang, Zhoujin Li, Kaixin Huang, Zehua Ren, Yan Zhao, Keming Luo, Qin Song

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Trust-based energy-efficient routing protocol for Internet of things–based sensor networks by Muhammad Ilyas, Zahid Ullah, Fakhri Alam Khan, Muhammad Hasanain Chaudary, Muhammad Sheraz Arshed Malik, Zafar Zaheer, Hamood Ur Rehman Durrani

“…It is a centred-based clustering protocol, where selection of cluster head and grid head is carried out by sink node based on the value of its cost function. …”
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A Deep Learning for Optimization and Visualization of Expressway Toll Lane Management by Pattarapon Klaykul, Wilaiporn Lee, Kanabadee Srisomboon, Luepol Pipanmekaporn, Akara Prayote

“…A multi-objective optimization function is applied to balance key objectives such as minimizing queue length, reducing queue time, lowering operational costs, and optimizing ETC utilization. …”
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Harnessing mushrooms for poultry nutrition: Boosting health, immunity, and productivity by Md Salahuddin, Venkatesh Balan, Kayla G. Stamps, Ahmed A.A. Abdel-Wareth, Maedeh Mohammadi, Woo Kyun Kim, Weihang Zhu, Jayant Lohakare

“…Importantly, mushroom stems, often discarded as waste, are gaining attention for their nutritional and functional value, making them a cost-effective and eco-friendly feed resource. …”
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Multi-Link Fragmentation-Aware Deep Reinforcement Learning RSA Algorithm in Elastic Optical Network by Jing Jiang, Yushu Su, Jingchi Cheng, Tao Shang

“…Based on the numbering results, high-frequency links are selected to construct the network state matrix that reflects the resource distribution. …”
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A Bio-Inspired QoS-Oriented Handover Model in Heterogeneous Wireless Networks by Daxin Tian, Jianshan Zhou, Honggang Qi, Yingrong Lu, Yunpeng Wang, Jian Wang, Anping He

“…Furthermore, the comparative analysis also shows that the bio-inspired model outperforms the utility function based handover decision scheme in terms of ensuring a better QoS satisfaction and a better fairness of network resources allocation in dynamic heterogeneous wireless networks.…”
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