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

“…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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Carpal tunnel release surgery restores force control but not force coordination in CTS patients by Thomas Jacob, Mohamed Ibrahim, G. Vishnu Babu, K. Shyamnath Krishna Pandian, R. Krishnamoorthy, G. Karthikeyan, P. Jeyakumar, V. S. Valarmathy, Jahir Hussain, C. S. Ezhilavan, K. Sridhar, Sivakumar Balasubramanian, S. K. M. Varadhan

“…Abstract Efficient manipulation of objects is crucial for daily interactions with the world. …”
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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

“…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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Development and evaluation of the organization`s logistics strategy based on the application of bifurcation theory by M. Yu. Uchirova, L. A. Ilin, S. V. Khudyakov

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Structural Damage Identification Using PID-Based Search Algorithm: A Control-Theory Inspired Application by Kuang Shi, Tingting Sun

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

“…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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Microstrip Patch Antenna Design Using a Four-Layer Feed Forward Artificial Neural Network Trained by Levenberg-Marquardt Algorithm by Jitu Prakash Dhar, Maodudul Hasan, Eisuke Nishiyama, Ichihiko Toyoda

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Incorporating Neutrosophic Uncertainty in Data Envelopment Analysis by A.Almutairi, Hamiden Abd El- Wahed Khalifa, Basma E. El- Demerdash

“…In the realm of Data Envelopment Analysis (DEA), the assessment of relative efficiency has historically relied on deterministic variables. …”
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A brief overview of several earthquake catalog visualization methods by Pei He, Huai Zhang, Yaolin Shi

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In-depth characterization of accessory gene regulator loci and associated virulence factors in tcdA+B+ Clostridioides difficile isolates by Mansoor Kodori, Zohreh Ghalavand, Abbas Yadegar, Gita Eslami, Masoumeh Azimirad, Mohammad Reza Zali

“…The study uncovered significant variability in sporulation efficiency among isolates, with high efficiency correlating with tcdC-A genotype. …”
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Association mapping for root system architecture under varying levels of phosphorus application in Brassica juncea L. Czern & Coss by Priyanka Upadhyay, Mehak Gupta, Simarjeet Kaur Sra, Gurdeep Cheema, Virender K. Sardana, Rakesh Sharda, Nitika Sandhu, Javed Akhatar, Gurpreet Kaur

“…Root system architecture (RSAr) plays a crucial role in Pi uptake from soil and thereby improving phosphorus use efficiency (PUE) of plants. Studying the genetic variability of RSAr traits across various Pi levels offers insights for enhancing crop resilience to Pi deficiency. …”
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A centerline symmetry and double-line transformation based algorithm for large-scale multi-objective optimization by Xiangjuan Wu, Yuping Wang, Ziqing Wang

“…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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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

“…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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Desempenho de cultivares de cebola em função do manejo da irrigação por gotejamento Performance of onion cultivars as a function of drip irrigation management by Renato C Vilas Boas, Geraldo M Pereira, Rovilson J. de Souza, Rodrigo Consoni

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STRUCTURAL RELIABILITY OPTIMIZATION DESIGN OF REINFORCED SHELL STRUCTURE BASED ON ADAPTIVE SURROGATE MODEL by LIU Yuzhuo, CAO Lixiong, WU Jianguo, LI Haibo

“…Reinforced shell structure is widely used in aerospace load-bearing structures because its high specific stiffness and specific strength.By considering the uncertainty and risk factors in the structural parameters, the reliability-based design optimization (RBDO) can avoid the overly conservative design of the structure and ensure its reliability and safety.An efficient RBDO method based on adaptive surrogate model was proposed to solve the problem of lightweight design of reinforced shell structure under buckling reliability constraints.The adaptive addition of sample points was implemented through the expected feasibility function criterion, and the discrete variables was continued by constructing piecewise functions.This increases optimization efficiency while ensuring the reliability of design results.Finally, the effectiveness of the proposed method is verified by comparing the RBDO results with the deterministic optimization results.…”
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Day-Ahead Planning and Scheduling of Wind/Storage Systems Based on Multi-Scenario Generation and Conditional Value-at-Risk by Jianhong Zhu, Shaoxuan Chen, Caoyang Ji

“…The initial <i>SOC</i> of the storage system is introduced as a decision variable to enable flexible and efficient coordinated scheduling of the wind/storage system. …”
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Predicting and Controlling Multiple Transmissions of Rotavirus Using Computational Biomedical Model in Smart Health Infrastructures by Titus Ifeanyi Chinebu, Kennedy Chinedu Okafor, Omowunmi Mary Longe, Kelvin Anoh, Henrietta Onyinye Uzoeto, Victor Onukwube Apeh, Ijeoma Peace Okafor, Bamidele Adebisi, Chukwunenye Anthony Okoronkwo

“…We introduce breastfeeding, vaccination, and saturated incidence rate variables to deconstruct the transmission dynamics. …”
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Sensitivity Analysis of Distribution Network Reconfiguration Optimization for Electric Vehicle and Renewable Distributed Generator Integration by Mahmoud Ghofrani

“…This approach aims to minimize power losses and enhance overall operational efficiency. To model the variability of wind and solar DGs, probability distribution functions (PDFs) are employed, which allow for a more accurate representation of their performance. …”
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A metaheuristic optimization framework inspired by virus mutations and its ability to optimize the structural design of 2D and 3D steel frames compared to other methods by Mehdi Ghasri, Hamid Reza Karimi, Abdolhamid Salarnia

“…MVPO integrates population-based exploration, simulating viral spread through intra-community interactions (guided by wavelet functions to model transmission variability) and inter-community propagation, with a two-phase mutation strategy: the first phase enhances global exploration via elongated search steps during accelerated spread, while the second phase introduces structural perturbations to escape local optima. …”
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Development of Recurrent Neural Networks for Thermal/Electrical Analysis of Non-Residential Buildings Based on Energy Consumptions Data by Elisa Belloni, Flavia Forconi, Gabriele Maria Lozito, Martina Palermo, Michele Quercio, Francesco Riganti Fulginei

“…The results show that this approach can reproduce the functional relationship between input and output data. …”
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