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  1. 761
  2. 762

    Patterns and risk factors of falls among older adults: a systematic review by Tetiana Yermakova

    Published 2025-06-01
    “…Risk factors include cognitive and sensorimotor impairments, changes in gait parameters such as reduced speed, shortened step length, and increased variability. Additionally, fear of falling, physiological changes, and external conditions contributing to fall likelihood were noted. …”
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    Article
  3. 763

    Artificial intelligence-driven fuzzy logic approach for optimal well selection in gas lift design: A brown field case study by Nnaemeka Princewill Ohia, Chadi Paul, Emmanuel Asolo, Taiwo Adetomiwa Adewa, Chidimma Favour Chukwu, Paschal Ateb Ubi, Daniel Hogan Itam, Daniel Ugochukwu Nnaji

    Published 2025-03-01
    “…However, selecting suitable wells for gas lift is complex due to the inherent uncertainty and variability in petroleum production data. Traditional decision-making approaches often struggle with this uncertainty, leading to suboptimal choices that can reduce efficiency and increase operational costs. …”
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    Article
  4. 764

    Implementation of flexible DEA structure in the management of business processes by Šegrt Slobodan, Tomić Radoljub, Anđelković Maja

    Published 2023-01-01
    “…This paper presents some statistical tests that can be used to test hypotheses of interest for implementing new technologies and improving the efficiency, functionality and business performance of business systems or companies. …”
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  5. 765
  6. 766

    Optimization of urban spatial planning considering isochrones of transport accessibility: The case of Aktobe city, Kazakhstan by Aigul Sergeyeva, Imanaly Akbar, Yergali Karakulov

    Published 2025-06-01
    “…Urban areas are characterized by diversity and variability, depending on their size, function, combination of elements, and the spatial distribution of industrial and transport infrastructure. …”
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  7. 767
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  9. 769

    A centerline symmetry and double-line transformation based algorithm for large-scale multi-objective optimization by Xiangjuan Wu, Yuping Wang, Ziqing Wang

    Published 2022-12-01
    “…The search space of large-scale multi-objective optimization problems (LSMOPs) is huge because of the hundreds or even thousands of decision variables involved. It is very challenging to design efficient algorithms for LSMOPs to search the whole space effectively and balance the convergence and diversity at the same time. …”
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  10. 770

    Chitosan and its derivatives-based nanostructures in conjunction with their versatile applications in bio-medicine for alleviating contiguous diseases by Ayesha Anwar, Ayesha Anwar, Muhammad Imran, Muhammad Farooq Warsi, Ibrahim A. Alsafari, Roberto Parra-Saldívar, Roberto Parra-Saldívar, Guadalupe Gutiérrez-Soto, Hafiz M. N. Iqbal

    Published 2025-07-01
    “…The potential of CH to interact with targeting ligands enhances the early detection of disease and integration of CH in focused imaging modalities. Moreover, CH variable surface chemistry facilitates attachment to biological entities, resulting in improved diagnostic accuracy, rendering the insertion of bioactive substances possible. …”
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    Article
  11. 771

    Fuzzy Logic Approach for Evaluating Electromobility Alternatives in Last-Mile Delivery: Belgrade as a Case Study by Dragan Lazarević, Đorđe Popović, Muhammed Yasin Çodur, Momčilo Dobrodolac

    Published 2024-12-01
    “…A specific methodological contribution is the creation of harmonized membership functions for fuzzy variables as a result of comparing symmetric and asymmetric membership functions aimed at achieving the most valid results. …”
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    Article
  12. 772

    Features of minimizing total electrical losses in high-voltage electromechanical systems for stationary industrial fan installations by A.V. Synetskyi, I.M. Kotsur

    Published 2025-04-01
    “…The target function, initially dependent on three variables, has been transformed into a function of a single variable. …”
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  13. 773

    Modeling Spatial Data with Heteroscedasticity Using PLVCSAR Model: A Bayesian Quantile Regression Approach by Rongshang Chen, Zhiyong Chen

    Published 2025-07-01
    “…Through an approximation of the nonparametric functions with free-knot splines, we develop a Bayesian sampling approach that can be applied by the Markov chain Monte Carlo (MCMC) approach and design an efficient Metropolis–Hastings within the Gibbs sampling algorithm to explore the joint posterior distributions. …”
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  14. 774

    On the Generalized Inverse Gaussian Volatility in the Continuous Ho–Lee Model by Roman V. Ivanov

    Published 2025-04-01
    “…The obtained formulas are determined by the values of the Humbert confluent hypergeometric function of two variables. A numerical experiment shows that the third and fourth moments of the bond prices differentiate substantially in the continuous Ho–Lee and GIG continuous Ho–Lee models.…”
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  15. 775

    Matrix Method of Defect Analysis for Structures with Areas of Considerable Stiffness Differences by Monika Mackiewicz, Tadeusz Chyży

    Published 2025-04-01
    “…Unlike traditional FEM discretization, which increases computational time calculations due to mesh refinement in stiffness-variable areas, the proposed method maintains a consistent discretization while adjusting shape functions to reflect internal stiffness changes. …”
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  16. 776

    Development of high antioxidant / high fiber functional peach nectar containing lutein/lycopene and various dietary fibers using D-optimal mixture design optimization by Masumeh Takalloo, Babak Ghanbarzadeh, Mostafa Soltani, Pasquale M. Falcone

    Published 2025-12-01
    “…For developing a type of healthy and functional drink with high fiber and antioxidant properties, three types of dietary fiber (bamboo fiber, citrus fiber, and polydextrose) and two types of carotenoids (lycopene and lutein) were used in the peach nectar-based formulations. …”
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  17. 777
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    Adsorption of Congo Red Dye from Aqueous Solution onto Natural and Modified Bauxite Clays by Baghdad Science Journal

    Published 2017-03-01
    “…Both bauxite and modified bauxite are primarily characterized by using, FTIR, SEM, AFM, and XRD. Several variables are studied as a function of adsorption including contact time, adsorbent weight, pH, ionic strength, particle size and temperature under batch adsorption technique. …”
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    Structural Damage Identification Using PID-Based Search Algorithm: A Control-Theory Inspired Application by Kuang Shi, Tingting Sun

    Published 2025-06-01
    “…We developed finite element programs for a 10-element simply supported beam, a 21-element truss, and a 7-story steel frame, assigning damage factors to each element as design variables. The Relative Frequency Change Rate (RFCR) and Modal Assurance Criterion (MAC) were calculated as objective functions for PSA iteration; comparative studies were then conducted against Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Simulated Annealing (SA) in terms of damage identification accuracy, computational efficiency, and noise robustness. …”
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