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  1. 1181

    Statistical mechanics of dynamical system identification by Andrei A. Klishin, Joseph Bakarji, J. Nathan Kutz, Krithika Manohar

    Published 2025-08-01
    “…To establish this analogy, we define the hyperparameter optimization procedure as a two-level Bayesian inference problem that separates variable selection from coefficient inference and enables the computation of the posterior parameter distribution in closed form. …”
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  2. 1182

    Impact of coffee exports on economic growth in Ethiopia; An empirical investigation by Netsanet Gizaw, Jemal Abafita, Tesfaye Melaku Merra

    Published 2022-12-01
    “…All the variables were non stationary at level and integrated of order I (1), and then co-integration test was conducted to ensure the existence of long-run relationship using Johansen’s approach. …”
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  3. 1183

    Patients' satisfaction, expectation, care, and maintenance of fixed prosthesis by Nada Kashbur, Iman Bugaighis

    Published 2019-01-01
    “…Descriptive statistics and Spearman rank correlation coefficient tests were undertaken between the examined variables. …”
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  4. 1184

    Random First-Order Linear Discrete Models and Their Probabilistic Solution: A Comprehensive Study by M.-C. Casabán, J.-C. Cortés, J.-V. Romero, M.-D. Roselló

    Published 2016-01-01
    “…The study is based on Random Variable Transformation method. The obtained results are given in terms of the probability density functions of the data, namely, initial condition, forcing term, and diffusion coefficient. …”
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    Article
  5. 1185

    OpenConMap: A Matlab toolbox for mapping the interior of the unit circle to the exterior of simple closed curves by Kai He, Kai Wang

    Published 2024-12-01
    “…The conformal mapping function from the interior of the complex plane's unit circle to the exterior of any simple closed curve on the real plane finds widespread applications, including the use of complex variable methods in elasticity studies. …”
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    Article
  6. 1186

    带传动软启动装置蜗杆的优化设计 by 赵江平

    Published 2011-01-01
    “…By the mechanical analysis of the belt drives soft-start equipment,tow-objective function is established with the worm axial modulus and spiral angle as the independent variables.Based on self-locking constraint and fuzzy constraint conditions,constraint subset is established.Compared with the general design parameters,the rustle shows that the spiral angle is increased and the worm axial modulus is decreased.The test shows that the optimize design effectively improve the transmission efficiency,and reduce the minimum power of the speed adjustment motor.…”
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  7. 1187

    Ammonia Gas Adsorption in Fixed Bed and Fluidized Bed Using Bentonite Particles by Gabriela Muntianu, Ana-Maria Georgescu, Ana-Maria Rosu, Nicoleta Platon, Vasilica Alisa Arus, Cosmin Valeriu Jinescu, Ileana Denisa Nistor

    Published 2025-01-01
    “…Fluidized bed adsorption can be an efficient technique to accelerate mass transfer between ammonia from air and adsorbent particles.…”
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  8. 1188

    Application of marine bacterial alginate lyases in wastewater treatment, biofilm removal and green technology by M.U.K. Anjung, H. Nursyam, A.A. Prihanto, E. Chasanah

    Published 2025-07-01
    “…In recent years, marine bacteria have emerged as a valuable and diverse source of these enzymes, owing to their unique adaptations to extreme marine conditions such as high salinity, variable potential of hydrogen, and fluctuating temperatures. …”
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  9. 1189

    Optimization of Sparse Concentric Ring Arrays for Low Sidelobe by Kesong Chen, Yafei Li, Jiajia Shi

    Published 2019-01-01
    “…The MGA uses real number to code the optimization variable, and it reduces the complexity of coding and improves the search efficiency. …”
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    Article
  10. 1190

    Revolutionizing proton exchange membrane fuel cell modeling through hybrid aquila optimizer and arithmetic algorithm optimization by Manish Kumar Singla, S. A. Muhammed Ali, Ramesh Kumar, Pradeep Jangir, Mohammad Khishe, G. Gulothungan, Haitham A. Mahmoud

    Published 2025-02-01
    “…These parameters function as decision variables, and the objective function aimed for minimization is the sum square error (SSE) between the predicted and actual measured cell voltages. …”
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    Article
  11. 1191

    High-Resolution Core Gene-Associated Multiple Nucleotide Polymorphism (cgMNP) Markers for Strain Identification in the Wine Cap Mushroom <i>Stropharia rugosoannulata</i> by Fei Liu, Bin Cao, Hongmei Dai, Guojie Li, Shoumian Li, Wei Gao, Ruilin Zhao

    Published 2025-07-01
    “…Phylogenetic analysis of the most variable gene, Phosphatidate cytidylyltransferase mitochondrial, identified 865 SNPs, enabling precise differentiation of all 85 cultivars. …”
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  12. 1192

    Rapid global fitting of large fluorescence lifetime imaging microscopy datasets. by Sean C Warren, Anca Margineanu, Dominic Alibhai, Douglas J Kelly, Clifford Talbot, Yuriy Alexandrov, Ian Munro, Matilda Katan, Chris Dunsby, Paul M W French

    Published 2013-01-01
    “…This approach is often considered to be prohibitively slow and/or computationally expensive but we present here a computationally efficient global analysis algorithm for the analysis of time-correlated single photon counting (TCSPC) or time-gated FLIM data based on variable projection. …”
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  13. 1193
  14. 1194

    Fuzzy rank fusion of deep neural networks for weed identification in groundnut crop by Akshay Dheeraj, Rajnish Kumar Chaturvedi, Sapna Nigam, Md. Ashraful Haque, Sudeep Marwaha

    Published 2025-08-01
    “…By combining selective and variable rate spraying, the smart herbicide sprayer effectively manages herbicide amounts. …”
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  15. 1195
  16. 1196

    Binary composite crossover genetic algorithm for locating critical slip surface by Wei Qin, Jiancheng Zhao

    Published 2024-12-01
    “…A reasonable combination of parameters for the binary composite crossover (BCC) operator in the RGA-BCC is determined through six benchmark function experiments. On this basis, the stability of five soil slopes from the literature was analysed using the RGA-BCC in combination with the Morgenstern and Price method, and the results obtained were compared with those in the published literature to demonstrate that the RGA-BCC is able to efficiently determine the CSSs of slopes and their minimum factors of safety. …”
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  17. 1197

    Determinants of growth differentiation factor 15 plasma levels in outpatients with peripheral arterial disease by Emma Skau, Philippe Wagner, Jerzy Leppert, Johan Ärnlöv, Pär Hedberg

    Published 2024-12-01
    “…Results: The multivariable analysis identified independent relations of GDF-15 with several of the included variables (adjusted R2 = 0.48). Diabetes (beta coefficient [β] of 0.37, 95% confidence interval [95% CI] 0.25 to 0.50), low-density lipoprotein (LDL) cholesterol (β = −0.22, 95% confidence interval [CI]: −0.34 to −0.09), and physical activity (β = −0.16, 95% CI: −0.25 to −0.06) had the strongest associations. …”
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  18. 1198

    Optimization Design of Fast Neutron Target Station Beam Extraction Based on Genetic Algorithm by QIN Ziqian1, 2, 3, TAN Xinjian2, 3, ZHANG Xiaodong2, 3, PAN Qingquan1, LIU Xiao2, 3

    Published 2025-03-01
    “…Therefore, the aforementioned parameters are used as variables, and the three important indicators are taken as the objective function. …”
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  19. 1199

    Manufacturing of Rotational Toroidal Shells in Coin Minting by Luís M. Alves, Paulo Alexandrino, Sónia Pereira

    Published 2025-07-01
    “…Through finite element modeling and experimentation, key process variables were identified, ensuring sound hollow toroidal shells with efficient rotation.…”
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  20. 1200

    Evaluasi Kinerja Aplikasi Penelusuran Online Cerah Informasi Pustaka (CIP) Perpustakaan Universitas Tridinanti Palembang Berdasarkan Persepsi Pustakwan by Rusmiatiningsih Rusmiatiningsih, Indah Solehati, Sagiman Sagiman, Marleni Marleni

    Published 2024-12-01
    “…The evaluation model used is the PIECES evaluation model by making a questionnaire based on 6 variables, namely Performance, Information, Economy, Control, Efficiency and Service and each variable is made into indicators. …”
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