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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The influence of genetics on the endocannabinoid system gene expression and relevance for targeting reproductive conditions by Keisuke Tanaka, Akwasi A. Amoako, Sally Mortlock, Peter A. W. Rogers, Sarah J. Holdsworth-Carson, Jacqueline F. Donoghue, Wan Tinn Teh, Grant W. Montgomery, Brett McKinnon

“…Abstract Background Endocannabinoids are small lipid molecules that have critical roles in cellular proliferation and function. They are produced locally with their concentrations controlled via the endocannabinoid system (ECS). …”
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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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Numerical modeling of complex radiative heat transfer by N. I. Moskalenko, L. V. Rodionov, M. S. Khamidullina, I. A. Afanasyev

“…The application of numerical simulation of the fine structure of the absorption and emission in the complex problems of radiative heat transfer is consider when the structural characteristics of the environment and the boundary conditions are different strong inhomogeneities in temperature, chemical composition and distribution of the radiation sources. The very nature of radiative heat transfer and temperature variation trends over time are determined by the acute effects of selection of the spectra and their modeling require knowledge of spectral line parameters: intensity, half-width position of the centers, contours. …”
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Physics of swimming and its fitness cost determine strategies of bacterial investment in flagellar motility by Irina Lisevich, Remy Colin, Hao Yuan Yang, Bin Ni, Victor Sourjik

“…Abstract Microorganisms must distribute their limited resources among different physiological functions, including those that do not directly contribute to growth. …”
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CADA: A Flexible and Elastic DDoS Mitigation Architecture by Junrui Wu, Zhige He, Wenyong Wang, Haoran Luo, Shuisong Hu, Yu Miao, Yubo Li, Jun Deng

“…Therefore, we propose a genetic algorithm-based quantitative deployment algorithm that generates deployment strategies for each service chain through a fitness function that quantifies response time and resource utilization. …”
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Energy Trading in Local Energy Markets: A Comprehensive Review of Models, Solution Strategies, and Machine Learning Approaches by Sania Khaskheli, Amjad Anvari-Moghaddam

“…This classification examines various algorithms for energy transactions considering the agent type, learning methods, policy, state space, action space, and action selection for state, action, and reward function outputs. …”
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Adoptive transfer of natural killer cells in therapeutic treatment of COVID-19 patients by Abdulaziz Alamri

“…Their antiviral capabilities stem from direct cytotoxic activity against infected cells and immunoregulatory functions that modulate adaptive immune responses. …”
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Identification of key genes associated with mesocotyl length through a genome-wide association study in rice by Li Xue, Li Xue, Sen Wang, Sen Wang, Qiuyu Zhang, Qiuyu Zhang, Bing Han, Di Cui, Longzhi Han, Jianxin Deng, Xiaoding Ma

“…In this study, 300 rice germplasm resources with a wide range of sources were selected as experimental materials. …”
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Tidenergy: A MATLAB-based tool for global tidal energy computation and visualization using the FES2014b tide model by Abdessalam Benharra, Ahmed Raissouni, Ayoub Belattmania, Abdelhaq Aangri, Taoufiq Chtioui, Lamiae Khali Issa, Lhoussaine Ed-Daoudy, Abdelkrim El Arrim, Mounir Hakkou

“…The tool's integrated visualization module allows users to map the spatial distribution of tidal energy, providing critical insights for site selection and project planning. By offering a precise, user-friendly, and accessible platform, this software serves as a valuable resource for researchers, engineers, and policymakers in the marine renewable energy sector.…”
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Towards the Novel Reasoning among Particles in PSO by the Use of RDF and SPARQL by Iztok Fister, Xin-She Yang, Karin Ljubič, Dušan Fister, Janez Brest, Iztok Fister

“…These tools are combined with particle swarm optimization (PSO) and the selection of the best solutions depends on its fitness. …”
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Comparative Genomic and Transcriptomic Analysis Provides New Insights into the Aflatoxin B₁ Biodegradability by <i>Kocuria rosea</i> from Deep Sea by Jingying Wang, Jun Nan

“…In addition, this study revealed 1421 differentially expressed genes and 752 upregulated genes between the aflatoxin group and the control group through transcriptome analysis and conducted functional annotation and analysis of functional enrichment. …”
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Interpretation of Phraseological Units Using Chinese Language in Russian-Chinese Phraseological Dictionaries by Di Liu, Fanhong Meng

“…The results of the research showed that the explanation of Russian phraseology in these lexicographic sources is carried out in two ways: through interpretation and selection of a similar expression. …”
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FORMALIZATION OF INNOVATIVE PROCESSES OF FOOD TECHNOLOGY EQUIPMENT by Panfilov V.A.

“…Financial instability, low technical level and high wear of technological equipment, the lack of legal guarantees of contract realizations, a relatively low level of enterprise management, a high level of competition in the domestic market, inflation - all these require an approach revision to the formation of the system of the resource support of the food enterprises. There is an obvious need for the transformation of the composition and structure of sources and resources that determine the economic growth. …”
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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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Complete sequencing of the mitochondrial genome of tea plant Camellia sinensis cv. ‘Baihaozao’: multichromosomal structure, phylogenetic relationships, and adaptive evolutionary an... by Zhiyin Chen, Zhiyin Chen, Zhiyin Chen, Zhiyin Chen, Zixu Wang, Zixu Wang, Zixu Wang, Zixu Wang, Wei Zhou, Wei Zhou, Wei Zhou, Wei Zhou, Sijie Liu, Sijie Liu, Sijie Liu, Sijie Liu, Yuxin Xiao, Yuxin Xiao, Yuxin Xiao, Yuxin Xiao, Yihui Gong, Yihui Gong, Yihui Gong, Yihui Gong

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Genome-Wide Scan for Copy Number Variations in Chinese Merino Sheep Based on Ovine High-Density 600K SNP Arrays by Yuezhen Tian, Jing An, Xinning Zhang, Jiang Di, Junmin He, Ayinuer Yasen, Yanpin Ma, Gaohaer Sailikehan, Xixia Huang, Kechuan Tian

“…Copy number variations (CNVs) have emerged as one of the most important sources of genetic variation, influencing phenotypic traits by altering gene expression and dosage. …”
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A Variant Character Dataset for Historical Narratives of Middle and Late Imperial China by Jiwon Lee, Youngim Jung

“…The construction method of the dataset involves collecting variant character sets from authoritative sources, filtering out duplicates and non-target sets, and selecting representative character by applying prioritization principles. …”
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Heuristic Optimization-Assisted Dilated Convolution Neural Network With Gated Recurrent Unit for Channel Estimation in NOMA-OFDM System by Vijayakumar Kondepogu, Budhaditya Bhattacharyya

“…NOMA enables numerous users to share identical blocks of resources with varying power distribution factors. …”
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MULTI-MODEL STACK ENSEMBLE DEEP LEARNING APPROACH FOR MULTI-DISEASE PREDICTION IN HEALTHCARE APPLICATION by Bhaskar Adepu, T. Archana

“…These datasets serve two functions: improving illness prediction and examining large data reservoirs to identify previously unknown disease patterns. …”
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