A Novel High-Efficiency Variable Parameter Double Integration ZNN Model for Time-Varying Sylvester Equations by Zhe Peng, Yun Huang, Hongzhi Xu

“…In this paper, a High-Efficiency Variable Parameter Double Integration Zeroing Neural Network (HEVPDIZNN) model combining variable parameter function and double integration is proposed to solve the time-varying Sylvester matrix equations, using the decreasing function with a large initial value as the variable parameter. …”
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Secure mobile agents for efficient medical information retrieval: A verifiable variable threshold secret sharing approach. by Pradeep Kumar, Sur Singh Rawat, Kakoli Banerjee, Ayodeji Olalekan Salau, Gyanendra Kumar, Niraj Singhal

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High-efficient RPL routing for analyzing mobility of nodes by Huibin XU

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Estimated Glomerular Filtration Rate Variability and Incident Heart Failure in Adults With Type 2 Diabetes by Arnaud D. Kaze, MD, MPH, Chiadi E. Ndumele, MD, PhD, Bernard G. Jaar, MD, MHS, Prasanna Santhanam, MBBS, MD, Beeletsega T. Yeneneh, MD, MS, Farouk Mookadam, MD, Roderick Tung, MD, Gregg C. Fonarow, MD, Deidra C. Crews, MD, ScM, Justin B. Echouffo-Tcheugui, MD, PhD

“…Background: Variability in kidney function, as measured by estimated glomerular filtration rate (eGFR), has been proposed as a novel risk factor for adverse cardiovascular outcomes. …”
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Selection of Functional Diagram of Air Multi-Compressor Control System by Roman Kokoshko, Oleksandr Kril, Bohdan Kril

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Continuous-Variable Quantum Key Distribution Protocol Based on Post-Selection by Hao YU, Bao FENG, Zichun PAN, Wenhe ZHUO, Zhenwei LI

“…Compared with discrete-variable quantum key distribution (DVQKD) protocol that has been widely used in power system, the continuous-variable quantum key distribution (CVQKD), which uses continuous variables to perform QKD protocol, has such advantages as simple equipment, high detection efficiency and good compatibility, and has attracted wide attentions. …”
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A Convergent Legendre Spectral Collocation Method for the Variable-Order Fractional-Functional Optimal Control Problems by Zahra Pirouzeh, Mohammad Hadi Noori Skandari, Kameleh Nassiri Pirbazari

“…In this paper, a numerical method is applied to approximate the solution of variable-order fractional-functional optimal control problems. …”
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Multi-energy storage SoC equilibrium strategy based on the variable regulating factor by CHEN Jingwen, LIU Jiaxin, ZHANG Wenqian

“…In view of the overcharge and over-discharge of individual energy storage units due to differences in the state of charge (SoC), rated capacity and line impedance of the microgrid multi-energy storage units, which will affect its service life and make the stability adjustment ability of the microgrid deteriorate, this paper proposes a multi-energy storage SoC dynamic balance strategy based on the variable regulating factor. The arccotangent function is used to associate the droop coefficient with SoC and rated capacity, and the virtual voltage drop compensation link is introduced to achieve the balance of multiple sets of energy storage SoC. …”
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An Objective and Subjective Evaluation of Masticatory Efficiency in Periodontal Patients Before and After Basic Periodontal Therapy: A Case Series Study by María José Moya-Villaescusa, Claudia López-Lisón, José María Montoya-Carralero, Alfonso Jornet-García, Arturo Sánchez-Pérez

“…Methods: A prospective, longitudinal, case series study was carried out in 42 periodontal patients treated at the University Odontology Clinic. Masticatory efficiency before and after basic periodontal treatment was assessed using both objective (HueCheck Gum test) and subjective (Quality of Masticatory Function Questionnaire: QMFQ) methods. …”
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Correlation and path analysis of interaction between snap beans yield and its components with crop management by N. Shaban

“…Results showed that fresh weight of pod/studied variant (+++0.99), fresh weight of one pod (+++0.77), fresh weight of pods/ plant (+++0.67), calcium content in bean pods (++0.57), pods number /plant (++0.51), pollen fertility (++0.44) had positive impact on yield. The partial function of the studied parameters on variability of bean yield is 98.9%. …”
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On a geometric approach to the estimation of interpolation projectors by Mikhail V. Nevskii, Alexey Y. Ukhalov

“…Here $\sigma S$ is the result of homothety of $S$ with respect to the center of gravity with coefficient $\sigma$. Let $d\geqslant n+1,$ $\varphi_1(x),\ldots,\varphi_d(x)$ be linearly independent monomials in $n$ variables, and $\varphi_1(x)\equiv 1,$ $\varphi_2(x)=x_1,\ \ldots, \varphi_{n+1}(x)=x_n.$ Put $\Pi:=$lin$(\varphi_1,\ldots,\varphi_d).$ The interpolation projector $P: C(\Omega)\to \Pi$ with a set of nodes $x^{(1)},\ldots, x^{(d)} \in \Omega$ is defined by equalities $Pf\left(x^{(j)}\right)=f\left(x^{(j)}\right).$ Denote by $\|P\|_{\Omega}$ the norm of $P$ as an operator from $C(\Omega)$ to $C(\Omega)$ . …”
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VBP-YOLO-prune: Robust apple detection under variable weather via feature-adaptive fusion and efficient YOLO pruning by Haohai You, Hao Wang, Zhanchen Wei, Chunguang Bi, Lijuan Zhang, Xuefang Li, Yingying Yin

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Characterizing the effects of age, puberty, and sex on variability in resting-state functional connectivity in late childhood and early adolescence by Kelly A. Duffy, Andrea Wiglesworth, Donovan J. Roediger, Ellery Island, Bryon A. Mueller, Monica Luciana, Bonnie Klimes-Dougan, Kathryn R. Cullen, Mark B. Fiecas

“…We found decreased variability in global efficiency across the age range, and increased variability within the frontolimbic network driven primarily by those assigned female at birth (AFAB). …”
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The constrained-disorder principle defines the functions of systems in nature by Yaron Ilan

“…The Constrained Disorder Principle (CDP) defines all systems in nature by their degree of inherent variability. Per the CDP, the intrinsic variability is mandatory for their proper function and is dynamically changed based on pressures. …”
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Morpho-functional groups as an efficient tool for monitoring and management of the Billings reservoir (São Paulo, Brazil) by Ana Carolina Peixoto Chamizo, Cacilda Thais Janson Mercante, Munique de Almeida Bispo Moraes, Clóvis Ferreira do Carmo, Matheus Barbosa Herbst de Oliveira, João Alexandre Saviolo Osti

“…This research applied the Morphology-Based Functional Groups (MBFGs) combined with classical approaches, such as community descriptor species and phytoplankton classes in the Billings reservoir. …”
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Efficiency of structural brain networks mediates age-associated differences in executive functioning in older adults by Geraldine Rodríguez-Nieto, Geraldine Rodríguez-Nieto, Caroline Seer, Caroline Seer, Hamed Zivari Adab, Hamed Zivari Adab, Antonio Jimenez-Marin, Sima Chalavi, Sima Chalavi, Amirhossein Rasooli, Amirhossein Rasooli, Jesús M. Cortés, Jesús M. Cortés, Jesús M. Cortés, Stefan Sunaert, Stephan P. Swinnen, Stephan P. Swinnen

“…Further regional efficiency analyses identified the nodes that contributed to the mediation effect of local efficiency.DiscussionThese results shed light on the shared variability among the integrity of structural brain networks and EF at older age. …”
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The Zhegalkin Polynomial of Multiseat Sole Sufficient Operator by Leonid Y. Bystrov, Egor V. Kuzmin

“…The value of it allows one to determine the self-duality of a Boolean function. It is proved that the preserving 0 and 1 or preserving neither 0 nor 1 Boolean function is self-dual if and only if the dual remainder of its corresponding Zhegalkin polynomial is equal to 0 for any sets of function variable values. …”
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Functional Analysis of Thyme Production in Denizli Province by Arif Semerci, Enver Ken

“…Among the variables in the production function, the variables with marginal efficiency coefficient above 1 were determined as the production area (3.20) and the fertilizer factor (1.33). …”
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Research on Variable Circulation Design Method and Internal Flow Characteristic of the Axial Flow Pump by Xuewei Yu, Qili Gan, Zifan Ling, Jiahui Gong, Jiajia Tang, Lijian Shi

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Neural Network Method of Controllers’ Parametric Optimization with Variable Structure and Semi-Permanent Integration Based on the Computation of Second-Order Sensitivity Functions... by Serhii Vladov, Lukasz Scislo, Nina Szczepanik-Ścisło, Anatoliy Sachenko, Victoria Vysotska

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