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  1. 1641

    Rational and Irrational Investor Sentiments and Stock Market Returns: Evidence from the Tehran Stock Exchange by Mohammad Nadiri, Hamid Reza Panahian

    Published 2024-09-01
    “…In the first step, we used an autoregressive distributed lag (ARDL) technique to regress macroeconomic fundamental variables on individual and institutional investor sentiments to decompose the sentiment variables into rational and irrational components. …”
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  2. 1642

    Validation and Discriminant Analysis of the Athens Insomnia Scale in Older Adults by Huseyin Elbi, Melike Batum, Ece Ozlem Oztürk, Merve Vatansever Balcan, Ayşin Kisabay Ak, Hikmet Yilmaz, Omer Aydemir

    Published 2025-06-01
    “…Its two‐dimensional structure distinguishes nocturnal sleep problems and their effects on daytime functionality.…”
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  3. 1643

    Correlation between Electrochemical Relaxations and Morphologies of Conducting Polymer Dendrites by Antoine Baron, Enrique H. Balaguera, Sébastien Pecqueur

    Published 2024-01-01
    “…Correlations are established between dispersive capacitances of dendritic morphologies and growth duration, independently from exogenous physical variables: distance, evaporation or aging. Deviation of the anomalous capacitance from the conventional Debye dielectric relaxation can be programmed, as the growth controls the dispersion coefficient of the dendrite's constant-phase elements relaxation. …”
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  4. 1644

    COMPARATIVE ANALYSIS OF THE ACADEMIC PERFORMANCE IN THE AGRICULTURAL UNIVERSITIES FROM ROMANIA AND REPUBLIC OF MOLDOVA USING THE NONPARAMETRIC METHOD OF DATA ENVELOPMENT ANALYSIS by Ilie CERCEL, Gina FÎNTÎNERU, Elena TOMA, Augustin VOLCONOVICI, Alla CHIRSANOVA, Anatol RACUL

    Published 2019-01-01
    “…As a result of analyzing the academic performance rating by option variable returns to scale, it is possible to determine the resources for improving staff activity by evaluating the distance function for each causal factor.…”
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  5. 1645

    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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  6. 1646

    Fault Estimation for Semi-Markov Jump Neural Networks Based on the Extended State Method by Lihong Rong, Yuexin Pan, Zhimin Tong

    Published 2025-05-01
    “…To alleviate network congestion and optimize communication resources, the Round-Robin protocol is adopted to schedule data transmission efficiently. By constructing a Lyapunov–Krasovskii functional and applying the discrete Wirtinger inequality, sufficient conditions are derived to ensure the mean square exponential stability and dissipative performance of the system. …”
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  7. 1647

    Agricultural Waste–Derived Biochar for Antibiotics Removal in Aqueous Environment: A Comprehensive Outlook by Varalakshmi Varatharajan, Karthik V., Selvakumar Periyasamy

    Published 2025-01-01
    “…The key elements influencing antibiotic adsorption on biochar, including surface chemistry, pyrolysis conditions, and environmental variables, were discussed in detail. This review focuses specifically on the functional modification of the biochar, the mechanism involved in antibiotic adsorption, and the scalability of this process. …”
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  8. 1648

    Random Fuzzy Power Flow Analysis for Power System considering the Uncertainties of Renewable Energy and Load Demands by J. H. Zheng, Wenting Xiao, Zhigang Li, Q. H. Wu

    Published 2023-01-01
    “…Simulation studies conducted on the IEEE-33 system verifies the accuracy of the RFPF and the efficiency of the 3PE.…”
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    Article
  9. 1649

    Numerical Evaluation of Sound Attenuation Provided by Periodic Structures by Mario MARTINS, Luis GODINHO, Luis PICADO-SANTOS

    Published 2013-12-01
    “…The use of periodic structures as noise abatement devices has already been the object of considerable research seeking to understand its efficiency and see to what extent they can provide a functional solu- tion in mitigating noise from different sources. …”
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  10. 1650

    A Semantic Generalization of Shannon’s Information Theory and Applications by Chenguang Lu

    Published 2025-04-01
    “…The improvements in machine learning methods involve multi-label learning and classification, maximum mutual information classification, mixture models, and solving latent variables. Furthermore, insights from statistical physics are discussed: Shannon information is similar to free energy; semantic information to free energy in local equilibrium systems; and information efficiency to the efficiency of free energy in performing work. …”
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  11. 1651

    Parameter Sensitivity Analysis and Algorithm Improvement of Optimization Scheduling Model for Cascade Pumping Stations by LIU Xiaolian, LI Zhenrong, WANG Xue-ni, ZHAI Yu, ZHANG Lei-ke, GUO Weiwei, TIAN Yu

    Published 2024-01-01
    “…Additionally, a Tent boundary mapping strategy was employed to regenerate the boundary value, resulting in improved the optimization efficiency of RUN. Six benchmark functions, including unimodal, multimodal and fixed dimension, were used to verify the performance and improvement strategies of TRUN. …”
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  12. 1652

    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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  13. 1653

    Neural Network-Based Design of a Buck Zero-Voltage-Switching Quasi-Resonant DC–DC Converter by Nikolay Hinov, Bogdan Gilev

    Published 2024-10-01
    “…The converter is a piecewise linear system mathematically described by Kirchhoff’s laws and represented through switching functions. In this way, a mathematical model is used to generate data on the behavior of the state variables obtained under various design parameters. …”
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  14. 1654

    Determinants of oral health-related quality of life in orthodontic aligner wearers: A cross-sectional analysis. by Gabriela Luiza Nunes Souza, José Alcides Almeida de Arruda, Pâmella de Moura Dario, Esdras de Campos França, Marcelo de Araújo Lombardi, Giselle Cabral da Costa, Najara Barbosa Rocha, Lucas Guimarães Abreu

    Published 2025-01-01
    “…Poisson regression was performed to identify factors associated with OHRQoL, reporting beta coefficients (Coef.) and standard errors (SE). Statistical significance was set at p < 0.05. …”
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  15. 1655

    Evaluation of oral health-related quality of life in burn survivors: A cross-sectional study by Hetal Amipara, Rakesh Kain, Shalabh Kumar

    Published 2024-01-01
    “…Purpose: The face, crucial to identity, is susceptible to the functional and psychological impact of burn injuries. …”
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  16. 1656

    Effect of Gratitude on Mental Health with Mediating Role of Positive and Negative Affect by Malihe Shakerifard, Ali Mohamadzadeh Ebrahimi, Tayebe Rahimi Pordanjani

    Published 2019-06-01
    “…Based on the researches, gratitude has an effective role in mental health and the other positive psychological functions. The aim of this study was to investigate the effect of gratitude on mental health with the mediating role of positive and negative affect. …”
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  17. 1657

    Regional calibration of ecosystem service valuation under climate and tourism influences: a case study in subtropical Longyan, China by Hui Li, Enhao Chen, Shenglong Lin, Liang Cheng, Guofang Zhang

    Published 2025-08-01
    “…Abstract Precise evaluation of ecosystem service value (ESV) under climate variability is essential for supporting regional ecological management. …”
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  18. 1658

    Predicting Kinematic Viscosity and Cetane Number of Diesel- Biodiesel Blend Using Neural Network and Empirical Models by M. yari, Gh. Moradi, M. Abdolmaleki, Sh. Bashiri

    Published 2022-09-01
    “…This study tries to estimate two substantial properties of blend, i.e. kinemattic viscosity (KV) and cetane number (CN), through neural network (NN) and empirical models which use pure properties of biodiesel (kinematic viscosity, boiling point, evaporation point, flash point, pour point, heat of combustion, cloud point, and specific gravity) as independent variables. In this regard, a three-layer feed-forward network with varying input parameters, training algorithms, transfer functions, and hidden neurons has been examined to predict the KV and CN of the diesel-biodiesel blend. …”
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  19. 1659

    On Simplifying Expressions with Mixed Boolean-Arithmetic by Yury V. Kosolapov

    Published 2023-06-01
    “…We experimentally estimate the dependence of the average number of terms in a linear MBA-expression returned by simplification algorithms on $n$, the number of decoding iterations, and the power of the set of Boolean functions, by which a linear combination with a minimum number of nonzero coefficients is sought. …”
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  20. 1660

    Non-Destructive Detection of Soybean Storage Quality Using Hyperspectral Imaging Technology by Yurong Zhang, Wenliang Wu, Xianqing Zhou, Jun-Hu Cheng

    Published 2025-03-01
    “…The optimal model was used to visualize the dynamic distribution of these values. (3) Results: the crude fatty acid values exhibited a positive correlation with storage time, functioning as a direct indicator of soybean quality. …”
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    Article