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  1. 1081

    A Dynamic State Cluster-Based Particle Swarm Optimization Algorithm by Zhenya Diao, Fei Yu, Hongrun Wu, Xuewen Xia

    Published 2025-08-01
    “…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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  2. 1082

    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

    Published 2012-01-01
    “…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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  3. 1083
  4. 1084
  5. 1085

    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

    Published 2020-10-01
    “…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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    Article
  6. 1086

    A Deep Learning for Optimization and Visualization of Expressway Toll Lane Management by Pattarapon Klaykul, Wilaiporn Lee, Kanabadee Srisomboon, Luepol Pipanmekaporn, Akara Prayote

    Published 2025-01-01
    “…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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    Article
  7. 1087

    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

    Published 2025-08-01
    “…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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    Article
  8. 1088

    Attitude of patients and doctors of government health care system to the basic principles of medical ethics by E. P. Pukhova, O. Yu. Kutumova, D. O. Trufanov

    Published 2021-03-01
    “…Materials and methods. For the selection of respondents was used the representative sample based on gender and age of respondents (for the selection of patients), and by specialty of a medical workers (for doctors). …”
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    Article
  9. 1089

    Multi-Link Fragmentation-Aware Deep Reinforcement Learning RSA Algorithm in Elastic Optical Network by Jing Jiang, Yushu Su, Jingchi Cheng, Tao Shang

    Published 2025-06-01
    “…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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    Article
  10. 1090

    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

    Published 2014-01-01
    “…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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    Article
  11. 1091

    Vocal constraints on song amplitude in star finches Bathilda ruficauda by Hana Goto, Masayo Soma, Ayumi Mizuno, Henrik Brumm

    Published 2025-07-01
    “…This suggests that the frequency-amplitude correlation is a more general phenomenon in bird vocalisations, independent of the overall source amplitude of a species. While the evolution of birdsong is often viewed as constrained by neural costs and body size, or selective pressures from predators and social aggression, our results emphasise the importance of understanding phonetic features as well. …”
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  12. 1092

    <i>In silico</i> prediction of the transcription factor-enhancer interaction as a first stage of axonal growth regulation by D. D. Kotelnikov, I. A. Sinyakin, E. A. Borodin, T. A. Batalova

    Published 2023-12-01
    “…The enhancer sequence of DCC and SHH protein genes were taken from the NCBI open-source database in FASTA format. Ensembl database was used for enhancer mapping, GeneCards was used for screening and selection of potentially appropriate enhancers and transcription factors associated with these enhancers. …”
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  13. 1093

    Determination of Pipe Diameter Using Optimization Method by Pavlov Mikhail Vasilyevich, Vafaeva Khristina Maksudovna, Karpov Denis Fedorovich, Bhatnagar Sanjay, Kommanaboina Uma Shankar, Sharma Dikshit, Singh Digvijay, Sateesh N., Singh Pankaj Kumar

    Published 2024-01-01
    “…During the design phase of engineering networks, a critical issue remains the selection of pipe diameters that minimize capital investments for transporting the heat carrier from the heat source to the consumers. …”
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  14. 1094

    Numerical modeling of complex radiative heat transfer by N. I. Moskalenko, L. V. Rodionov, M. S. Khamidullina, I. A. Afanasyev

    Published 2017-12-01
    “…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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  15. 1095

    Atmospheric Turbulence-Controlled Cryptosystems by Ivan B. Djordjevic

    Published 2021-01-01
    “…We also describe a scheme that randomly selects one of several available paths in which the simultaneously measured irradiance samples, after interleaving, are used to generate the raw key. …”
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  16. 1096

    Biological impact of mutually exclusive exon switching. by Su Datt Lam, M Madan Babu, Jonathan Lees, Christine A Orengo

    Published 2021-03-01
    “…MXE-specific residues tend to map to single domains, are highly enriched in surface exposed residues and cluster at or near protein functional sites. Thus, MXE events are likely to maintain the protein fold, but alter specificity and selectivity of protein function. …”
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  17. 1097

    Data forwarding incentive mechanism based on auction model in mobile social network by Hao LIU, Zhi-gang CHEN, Lian-ming ZHANG

    Published 2017-11-01
    “…Abstract:A data forwarding incentive mechanism based on auction model in mobile social network was proposed.In this incentive mechanism,the first-price sealed auction mode was extended,the transaction mode of virtual currency payment was adopted,and the procedure of data forwarding between nodes was abstracted into the auction transaction model.Based on the node's resource state,the virtual currency and the data property,the evaluation function of data forwarding transaction was given,and then the node gives the corresponding price according to the evaluation function and game strategy.Through the game analysis,the Nash equilibrium solution of AMIM was found,and the lowest bidder,of which the bid price was lower than the evaluation of data forwarding request node would been selected as the service provider for this data forwarding.In this incentive mechanism,the rational mobile nodes were enforced to voluntarily participate in data forwarding cooperation to maximize their own interests.The simulation experiment shows that AMIM mechanism can effectively reduce the energy consumption and improve the success rate and efficiency of data forwarding in the whole network system.…”
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  18. 1098

    High-resolution spatiotemporal measurement of air and environmental noise pollution in Sub-Saharan African cities: Pathways to Equitable Health Cities Study protocol for Accra, Gha... by Michael Brauer, Majid Ezzati, Sierra N Clark, Abosede S Alli, Jill Baumgartner, Mireille B Toledano, Allison F Hughes, James Nimo, Josephine Bedford Moses, Solomon Terkpertey, Jose Vallarino, Samuel Agyei-Mensah, Ernest Agyemang, Ricky Nathvani, Emily Muller, James Bennett, Jiayuan Wang, Andrew Beddows, Frank Kelly, Benjamin Barratt, Sean Beevers, Raphael E Arku

    Published 2020-08-01
    “…Our design uses a combination of fixed (year-long, n=10) and rotating (week-long, n =~130) sites, selected to represent a range of land uses and source influences (eg, background, road traffic, commercial, industrial and residential areas, and various neighbourhood socioeconomic classes). …”
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  19. 1099

    A predictive framework using advanced machine learning approaches for measuring and analyzing the impact of synthetic agrochemicals on human health by Sahezpreet Singh, Puneet Kaur, Inderdeep Kaur, Gurpreet Singh, Satinder Kaur, Parminder Kaur

    Published 2025-05-01
    “…This study investigates the impact of synthetic agrochemicals on human health using advanced machine learning techniques, leveraging multi-level feature selection, hybrid ensemble learning, SHAP, and custom loss function to improve prediction accuracy. …”
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    Article
  20. 1100

    Evaluating ESG Software Solutions for Sustainability Reporting in the Manufacturing Sector by Hąbek Patrycja

    Published 2025-09-01
    “…Thirteen assessment criteria were applied, covering functionality, regulatory compliance, integration capabilities, cost transparency, and scalability. …”
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