Multiobjective optimization of Murta (Ugni molinae Turcz) juice lactic acid fermentation with monocultures and cocultures of Lactobacillus acidophilus and Lactiplantibacillus plant... by C.J. Gomes-Lobo, R. Luna, A. Rodríguez-Machado, J.R. Pérez-Correa, W. Franco

“…These findings highlight the practical utility of MOO-MCDM for designing efficient multiobjective fermentation processes in functional food development.…”
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Identification of quality problems staff vocational training by Vera V. Zhivaeva, Vadim A. Nikovaev, Svetlana N. Parfenova, Elena P. Tuponosova

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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

“…This review focuses on the advent of chitosan-based nanostructures, highlighting their physicochemical characteristics, methods for structural modification, and the functionalization of chitosan into its derivatives, which may aid in understanding its benefits and cellular significance. …”
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THE COMPUTER-AIDED CONTROLLING OF TECHNICAL AND TECHNOLOGICAL PLANTS IN THE WAVELET MEDIUM by Fedosenkov D.B., Tokarev S.V., Simikova A.A., Iskhakov R.R., Fedosenkov B.A.

“…Methods of formalizing material flows created in certain knots of structure-and-functional diagram of the mixture producing aggregate are considered, that are founded on transforming one-dimensional initial flow signals into multi-dimensional ones. …”
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A POSSIBILISTIC APPROACH TO CALCULATING THE INTERNAL RATE OF RETURN FOR INVESTMENT PROJECTS WITH FUZZY CASH FLOWS by E. S. Volkova, V. B. Gisin

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Community re-entry program on global functioning and medication adherence among bipolar affective disorder patients- A randomized controlled trial pilot study by Jaishri, Sreevani Rentala, Preethy Kathiresan, Mukesh Swami

“…Background: The Community re-entry program aims to train participants with the skills and information and help to move efficiently through the mental health in-patient setting to more independent living in the community. …”
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Phenotypic evaluation of worldwide germplasm of arugula (Eruca sativa Mill.) and identification of underlying latent factors contributing to phenotypic variation under indoor farmi... by Seam Choon Law, Ting Xiang Neik, Ethan Tze Cherng Lim, Adrian Ming Jern Lee, Yi Lin Lim, Wan Zu Tang, Shuang Song, Pei-Wen Ong, Sin Joe Ng, Fook Tim Chew

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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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Variational quantum algorithm for low-dimensional systems in the Pauli basis by D.O. Golov, N.A. Petrov, A.N. Tsirulev

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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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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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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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A brief overview of several earthquake catalog visualization methods by Pei He, Huai Zhang, Yaolin Shi

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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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Growth Propagation of Liquid Spawn on Non-Woven Hemp Mats to Inform Digital Biofabrication of Mycelium-Based Composites by Andreas Biront, Mart Sillen, Patrick Van Dijck, Jan Wurm

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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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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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Enhanced nonlinear sliding mode control technique for wind power generation systems application: Theoretical design and comparative study by Yattou El Fadili, Ismail Boumhidi

“…This study presents a novel robust nonlinear controller for regulating the electromagnetic torque of horizontal-axis, variable-speed WPGSs with three blades connected to the grid. …”
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