Mixed strategies and natural selection in resource allocation by Irina Kareva, Faina Berezovkaya, Georgy Karev

“…Analytical and numerical results suggest that the ultimate choice of strategy is determined primarily by the initial distribution of individuals in the population, and that while investment in physiological and environmental maintenance is a preferable strategy in a homogeneous population, no generalized prediction can be made about heterogeneous populations.…”
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Hierarchical Agent-Based Integrated Modelling Approach for Microgrids with Adoption of EVs and HRES by Peng Han, Jinkuan Wang, Yan Li, Yinghua Han

“…Simulations show that the proposed HAIMA methodology will be beneficial for the microgrid study and EV’s operation assessment and shall be further utilized for the energy management, electricity consumption prediction, the EV scheduling control, and HRES deployment optimization.…”
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Effect of Internal Curing with Superabsorbent Polymers on Bond Behavior of High-Strength Concrete by Xiao Lei, Rui Wang, Hanwan Jiang, Faxiang Xie, Yanni Bao

“…In this paper, the bond performance of HSC mixed with SAP is studied by pull-out tests, and the results were obtained as follows: (1) the bond strength of HSC mixed with SAP increased first and then decreased with the increase of SAP content; (2) the slip at ultimate bond strength of HSC with SAP decreased with the increase of compressive strength; (3) a prediction model of the stress-slip relationship between steel rebars and HSC was established.…”
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Discovering the interactome, functions, and clinical relevance of enhancer RNAs in kidney renal clear cell carcinoma by Zhaohui Sun, Haojie Du, Xudong Zheng, Hepeng Zhang, Huajie Hu

“…Furthermore, we developed a diagnostic prediction model based on eRNA expression profiles, demonstrating its effectiveness in KIRC diagnosis. …”
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Managing the human factor in agriculture: Motivation and control by Lapčević Goran, Nikitović Zorana

“…For agricultural systems where the human factor is not under sufficient control, that is, they have insufficiently developed organizational structure or in which it is completely lacking, self-determination theory, which is an upgrade of the Planned Behavior Theory, which provides an explanation of prediction of human behavior.…”
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Research on 2D/3D multimodal medical image registration algorithm by XU Mi, ZHUGE Bin, YUAN Feiniu, YIN Zhenghu, DONG Ligang, JIANG Xian, SUN Yingqi, SONG Jiaqi, SHI Xiaotong, SU Lei, ZHOU Yibo, LIN Shifan

“…A 2D/3D multimodal medical image alignment algorithm was proposed, which firstly utilized the excellent feature extraction capability of Swin Transformer to construct an initial pose estimation model to realize the fast prediction of pose parameters. Then, in order to improve the robustness of the whole alignment method, a coarse alignment method based on the Grangeat relation was introduced. …”
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Research on Mechanical Behavior of Geogrid–Soil Interface Under Rainfall Infiltration by Yongliang Lin, Yingying Wang

“…The research results can provide theoretical and practical guidance for more accurate prediction and response to the effects of rainfall on soil properties in engineering practice. …”
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Activity-based routing algorithm in opportunistic mobile social networks by Sheng Zhang, Houzhong Liu, Caisen Chen, Zhaojun Shi, William Wei Song

“…The simulation results show that the proposed routing algorithm can not only improve the successful delivery ratio of messages but also reduce the network delay and the network overhead obviously, in comparison with the classical opportunistic routing algorithms, such as community-aware message opportunistic transmission algorithm, community-based message transmission scheme algorithm, PRoPHET, Epidemic algorithm, and interest characteristic probability prediction algorithm.…”
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Comparative Analysis of ANFIS and State-ANFIS for Forecasting Cooking Oil Prices Based on Processed Palm Oil Yield (Crude Palm Oil) by Brodjol Sutijo Suprih Ulama, Fausania Hibatullah, Mochammad Reza Habibi, null Makkulau

“…Overall, S-ANFIS offers a more accurate, interpretable, and efficient approach to forecasting cooking oil prices, demonstrating superior predictive capabilities.…”
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Study on Shear Characteristics of Interface between Frozen Soil and Pile during Thawing Process in Permafrost Area by Ying Zhao, Xuesong Mao, Qian Wu, Wanjun Huang, Yueyue Wang

“…Moreover, the Gompertz model prediction results are in good agreement with the experimental results. …”
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Design and Performance Evaluation of a Very Low Flow Coefficient Centrifugal Compressor by Yongsheng Wang, Feng Lin, Chaoqun Nie, Abraham Engeda

“…One-dimensional (1D) code, consisting of design and analysis parts, is developed in this study to provide basic geometric data and predict the entire performance of centrifugal compressor. …”
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Life-Cycle Management Strategy on Steel Girders in Bridges by Kevin K. L. So, Moe M. S. Cheung, Eric X. Q. Zhang

“…How to effectively maintain the bridge asset at a minimal cost and how to predict the time for future works are crucial, particularly when government funding sources become stretched. …”
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Coverage bias in small molecule machine learning by Fleming Kretschmer, Jan Seipp, Marcus Ludwig, Gunnar W. Klau, Sebastian Böcker

“…Abstract Small molecule machine learning aims to predict chemical, biochemical, or biological properties from molecular structures, with applications such as toxicity prediction, ligand binding, and pharmacokinetics. …”
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Multi-purpose fatigue sensor. Part 1. Uniaxial and multiaxial fatigue by M.V. Karuskevich, S.R. Ignatovich, Т.P. Maslak, A. Menou, P.О. Maruschak, S.V. Panin, F. Berto

“…The paper describes the key principles and results of preliminary experiments aimed at the development of new technique for the fatigue life prediction under conditions of biaxial cyclic tension. …”
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TWSME of a NiTi strip in free bending conditions: experimental and theoretical approach by A. Fortini, M. Merlin, R. Rizzoni, S. Marfia

“…The experimental findings are compared with the model simulation and a numerical prediction based on the approach proposed in [25].…”
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The Impact of Artificial Intelligence, Ethical Implications and Technologies on the Electoral Process by Itumeleng Michael Maine, Bukohwo Michael Esiefarienrhe

“…Also discussed are the various ways that AI can be used negatively to influence voters namely deepfakes, automated bots, data privacy breaches, microtargeting, psychological profiles of voters, voting pattern prediction, and cyberattacks of electronic devices with the intention to rig elections. …”
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On the Potential of 25 Years (1991–2015) of Rawinsonde Measurements for Elucidating Climatological and Spatiotemporal Patterns of Afternoon Boundary Layer Depths over the Contiguou... by Temple R. Lee, Sandip Pal

“…The daytime planetary boundary layer (PBL) depth is an essential parameter in, for example, dispersion models and numerical weather prediction. We applied a recently developed technique to estimate afternoon PBL depths from 516,887 daily rawinsonde measurements obtained at 0000 UTC between 1 Jan 1991 and 31 Dec 2015 from 67 US sites. …”
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Mathematical Model of Maximum Commutation Half Cycle for Thermal Countercurrent Oxidation of Low-Concentration Gas in Coal Mine Ventilation by Kuan Wu, Shiliang Shi, Yong Chen

“…After introducing the wall heat loss correction coefficient, the complete prediction model of the maximum commutation half cycle was obtained. …”
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Hybrid Technique to Improve the River Water Level Forecasting Using Artificial Neural Network-Based Marine Predators Algorithm by Sarah J. Mohammed, Salah L. Zubaidi, Nadhir Al-Ansari, Hussein Mohammed Ridha, Nabeel Saleem Saad Al-Bdairi

“…MPA-ANN algorithm’s performance is compared with recent constriction coefficient-based particle swarm optimization and chaotic gravitational search algorithm (CPSOCGSA-ANN) and slime mold algorithm (SMA-ANN) to reduce uncertainty and raise the prediction range. The finding demonstrated that singular spectrum analysis is a highly effective method to denoise time series. …”
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Design and Construction of an Anemometer. by Mukhangu, Paul

“…Findings are expected to enhance weather prediction models, optimize wind energy systems, and facilitate a better understanding of wind patterns and their environmental impact. …”
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