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  1. 221

    Modeling and Simulation of an Intelligent Photovoltaic Controller Based on Variable Step Algorithm of Versoria by Bo Sun, Yongquan You, Zhiyong Zhang, Chao Li

    Published 2020-01-01
    “…For the limitation of fuzzy control algorithm, considering the property of the Versoria function, an MPPT design method for an intelligent controller based on the Versoria variable step algorithm is further proposed. …”
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    Article
  2. 222

    Stochastic Characteristics and Optimal Control for a Stochastic Chemostat Model with Variable Yield by Rong Yan, Shulin Sun

    Published 2020-01-01
    “…In this paper, a stochastic chemostat model with variable yield and Contois growth function is investigated. …”
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    Article
  3. 223

    Frequency function and damping function in assessment of dynamic processes in mechanical oscillatory systems with symmetry by A. V. Eliseev

    Published 2020-12-01
    “…The study objective is to develop a method forevaluating properties of the mechanical oscillatory systems with account for viscous friction forces based on frequency functions and damping functions that depend on the so-called coefficient of connection forms, which is the ratio of characteristics of generalized coordinates.Materials and Methods. …”
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  4. 224

    Age differences in the variability and distribution of sleep spindle and rapid eye movement densities. by Kevin R Peters, Laura B Ray, Stuart Fogel, Valerie Smith, Carlyle T Smith

    Published 2014-01-01
    “…Although age differences were observed in the degree of absolute variability (older adults had significantly larger variances than young adults for sleep efficiency and time spent awake after sleep onset), a similar pattern was also observed within the two age groups: the four sleep measures with the lowest degrees of relative variability were the same and included time spent in REM and Stage 2 sleep, total sleep time, and sleep efficiency. …”
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  5. 225

    Interannual variability in thermal state of the upper mixed layer in the Bering Sea in winter by V. A. Luchin

    Published 2023-10-01
    “…Series of annual mean fields of the mixed layer temperature in December-March were decomposed by applying the empirical orthogonal function (EOF); dynamics of the first two components of decomposition (described in sum 50.4 % of the initial fields variability) are analyzed. …”
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    Article
  6. 226

    A Home-Based Self-Powered Rehabilitation System With Variable Stiffness Mechanism by Ke Shi, Yingchen Gao, Maozeng Zhang, Lifeng Zhu, Aiguo Song

    Published 2025-01-01
    “…Then, the system’s functionality and efficacy are validated through experiments with twelve healthy subjects and ten stroke survivors. …”
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  7. 227

    Sparsity‐optimised farrow structure variable fractional delay filter for wideband array by Wenjing Zhou, Mingwei Shen, Min Xu, Guodong Han, Yudong Zhang

    Published 2023-06-01
    “…The established cost function is formulated as a parametric minimisation problem with multiple regularisation constraints, and solved by the modified three‐block alternating direction multiplier method (MTB‐ADMM), which is improved by introducing core variable correction items to ensure stable and fast convergence. …”
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  8. 228

    Variational Bayesian Variable Selection in Logistic Regression Based on Spike-and-Slab Lasso by Juanjuan Zhang, Weixian Wang, Mingming Yang, Maozai Tian

    Published 2025-07-01
    “…The method of introducing a new hidden variable or approximating the lower bound is used to solve the problem of logistic functions without conjugate priors. …”
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    Article
  9. 229

    Exploring the impact of AI on employee self-competence performance key variables and outcomes by Anas Amayreh, Mohammad A. Ta’Amnha, Ihab K. Magableh, Maher H. Mahrouq, Salsabila Aisyah Alfaiza

    Published 2025-07-01
    “…Abstract In the dynamic business world, organizations must upgrade their functioning and develop human resources skills to achieve optimal performance. …”
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  10. 230

    Multivariate Spatial Autoregressive Model with Latent Variables: Application to Economic Growth Modeling by Anik Anekawati, Purhadi, Mohammad Rofik

    Published 2025-10-01
    “…Therefore, this research developed a model that involved multivariate data, latent variables, and spatial data, specifically spatial autoregressive, in the form of a multivariate spatial autoregressive model that involves latent variables (MSAR-VLs). …”
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  11. 231

    Near-Infrared Electronically-Controlled Variable Attenuator for W-Band Frequency Range by Suren Gigoyan, Mohammad-Reza Nezhad-Ahmadi

    Published 2025-01-01
    “…This article presents the design, fabrication, and performance evaluation of a novel high-performance millimeter-wave (mm-wave) variable attenuator operating across the 75–110 GHz frequency band, controlled via near-infrared (NIR) illumination. …”
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  12. 232

    Geospatial analysis of soil property variability in cyclone-affected areas of southern Malawi by Jabulani Nyengere, Innocent Gomani, Isaac Tchuwa, Wilfred Kadewa, Agnes Mercy Hamisi, Chikondi Chisenga, Emmanuel Chinkaka, Weston Mwase, Precious Masuku, Harineck Tholo

    Published 2025-06-01
    “…The soil properties exhibited significant variability, as demonstrated by the coefficients of variation, with available phosphorus (P) showing the highest variability at 156.9%, followed by exchangeable potassium (K +) at 139.6% and electrical conductivity (EC) at 95.3%. …”
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  13. 233

    Blood Pressure Variability and Severity of Early Prognosis in Patients with Acute Pontine Infarction by Xinsheng Han, Gaocai Zhang, Ning Liu, Hongyang Zhang, Jianke Xu, Miao Han, Yun Zhang, Yan Zhang, Li Chen

    Published 2020-01-01
    “…Increased blood pressure (BP) variability may worsen the prognosis of stroke. This study aimed at investigating the association between BP variability and early functional prognosis in patients with pontine infarction. …”
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  14. 234

    Seismic Response of Variable Section Column with a Change in Its Boundary Conditions by Alexandre de Macêdo Wahrhaftig, Moshe Eisenberger, Castro Baptista Elias, Luiz Antônio Malheiros Filho

    Published 2025-04-01
    “…As research recommendations, analysis of columns with variable cross-sections and different shapes, different distributed loadings, applying the rotational spring for both ends and over the shape functions, and analysis of buildings by an equivalent system are suggested. …”
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  15. 235

    The nursing process and total health cost variability: an analysis using machine learning by Maria Consuelo Company-Sancho, Victor M. González-Chordá, Maria Isabel Orts-Cortés

    Published 2025-07-01
    “…Abstract Aims To find out whether the information that the nursing process provides (functional patterns and the NANDA-NIC-NOC taxonomy), presented through clinical histories, influences predictions of total healthcare costs. …”
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  16. 236

    Evaluation of Spatio-Temporal Gait Variability during Obstacle Crossing in Parkinson\'s Disease by Elaheh Azadian, Mahdi Majlesi, Ali Fatahi, Rezvan Bakhtiyarian

    Published 2023-12-01
    “…The difference between the two groups was significant in the variability coefficient of variables such as double support time, single support time, stride time, step length, and percentage of opposite foot contact with the ground. …”
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  17. 237

    Analysis of the variability of morphometric and physiological parameters of grain crops when using biofertilizers by D. G. Fedorova, L. V. Galaktionova

    Published 2024-03-01
    “…The parameters of photosynthetic activity play an important role in photosynthesis and ensure the efficient functioning of plants under various conditions. …”
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  18. 238

    Event-Triggered Fault-Tolerant ADRC for Variable-Load Quadrotor with Prescribed Performance by Zhichen Li, Qiaoran Wang, Huaicheng Yan

    Published 2025-06-01
    “…This study proposes an event-triggered fault-tolerant active disturbance rejection control (ADRC) method for variable-load quadrotors with prescribed performance. …”
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  19. 239

    Modeling the Public Transport Networks: A Study of Their Efficiency by Mary Luz Mouronte-López

    Published 2021-01-01
    “…We have found that this process may be appropriately explained by a generalized linear model (GLM) using local, global, and quasilocal similarity indexes as explanatory variables. In modeling, the response variable was described by a binomial probability density function, and the logit function was used as a link function. …”
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  20. 240