Modeling of information support to optimize logistics tasks in transport sector using a programmable container transformer simulator by A. A. Korotkii, D. A. Yakovleva, A. A. Maslennikov, I. V. Golovko

“…A common system architecture and a simulator are created for the software debugging and testing under the organization of a single space to monitor and optimize cargo transportation using “smart” container transformers while providing transport services to the population and legal entities in an urban environment.Discussion and Conclusions. …”
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Nanostructured Strategies for Melanoma Treatment—Part I: Design and Optimization of Curcumin-Loaded Micelles for Enhanced Anticancer Activity by Valentina Paganini, Andrea Cesari, Silvia Tampucci, Patrizia Chetoni, Susi Burgalassi, Michele Lai, Giulia Sciandrone, Silvia Pizzimenti, Fabio Bellina, Daniela Monti

“…A Design of Experiments (DoE) approach was applied to optimize the surfactant ratios for enhanced drug solubilization and improved cytotoxic effects on melanoma cells. …”
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Enhancing Treatment Efficiency: Investigating the Optimal Segment Width in Volumetric Modulated Arc Therapy for Prostate Cancer Management by Gleetus Thimothy, Mary Joan, Anuj Vijay

“…The plans were designed with three different MSW: 0.5 cm, 1.0 cm, and 1.5 cm while keeping all remaining factors constant. Subjects and Methods: The plans for each MSW group were compared based on several criteria: conformity index, homogeneity index, dose to organs at risk, control points, monitor units (MUs), plan execution time, and gamma passing rates (GPRs). …”
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An Improved Particle Swarm Optimization and Adaptive Neuro-Fuzzy Inference System for Predicting the Energy Consumption of University Residence by Stephen Oladipo, Yanxia Sun, Oluwatobi Adeleke

“…The model input variables are wind speed, temperature, and humidity, with the output being the equivalent energy consumption for the student housing. While the particle swarm optimization (PSO) technique is versatile and widely used, it falls short by exhibiting premature convergence. …”
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A Transformer-LSTM-SVR hybrid model for AI-driven emotional optimization in NEV embedded interior systems by Zongming Liu, Xuhui Chen, Xinan Liang, Zhicheng Sun, Fengqi Yang, Wenwen Ou, Linwei Li, Xiayan Qin

“…Current research on emotion optimization in new energy vehicle interiors lacks efficient nonlinear modeling methods. …”
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Investigating Optimal EEG Channels and Features for Brain-Computer Interfaces: An Exploration using Evolutionary Algorithms and Machine Learning by Ali Ekhlasi, Hessam Ahmadi, Mohammad Saleh Hoseinzadeh

“…For imagined commands, optimal features from all channels achieved a 96.3% classification accuracy, while expressed commands reached 96.5%. …”
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Hydrogen production model: a computational approach to optimize cost reduction strategies, environmental impact, and financial viability by Fairuz Wasima, Md. Sanowar Hossain, Abdullah Mohammad Tousiful Hoque Chy, Monjur Mourshed, Md. Golam Kibria

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Personalized EEG-guided brain stimulation targeting in major depression via network controllability and multi-objective optimization by Aihua Wang, Jingnan Sun

“…A multi-objective optimization algorithm (NSGA-II) was used to select optimal node–frequency–amplitude combinations minimizing control energy while maximizing network efficiency gain and structural restoration. …”
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Time-Optimal Model Predictive Control for Linear Time-Variant Systems Based on Configuration-Constrained Backward Reachability by Michael Fink, Annalena Daniels, Dirk Wollherr, Marion Leibold

“…This paper presents a robust formulation of Time-Optimal Model Predictive Control for Linear Time-Variant systems that leverages backward reachability analysis for time-optimality while achieving constraint handling and disturbance rejection. …”
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Adaptive Multi-Objective Firefly Optimization for Energy-Efficient and QoS-Aware Scheduling in Distributed Green Data Centers by Ahmed Chiheb Ammari, Wael Labidi, Rami Al-Hmouz

“…We formulate a multi-objective optimization problem that minimizes total operational costs while reducing the Average Task Loss Probability (ATLP), a key Quality of Service (QoS) metric. …”
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Optimizing carbon nanoparticle staining for sentinel lymph nodes in rabbit lower limb models: concentration and time dependence by Narbol Kylyshbek, Heng Wang, Shuning Feng, Yuxin Zhang, Dong Dong, Wangjaleoseop Han, Ayidana Ayoujiang, Liang Chen, Tianyi Liu

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Experiences of people with long COVID: Symptoms, support strategies and the Long COVID Optimal Health Programme (LC‐OHP) by Hiyam Al‐Jabr, David R. Thompson, David J. Castle, Chantal F. Ski

“…There are still no standardised diagnostic criteria or treatment approaches for managing LC. The LC‐Optimal Health Programme (LC‐OHP) was designed to support the mental wellbeing and physical health of people with LC. …”
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Optimizing Endodontic Surgery: A Systematic Review of Guided Tissue Regeneration, Grafting, and Platelet Concentrates vs. No Intervention by Mohammad Sabeti, Natalie Black, Mohsen Ramazani, Nafiseh Zarenejaddivkolahei, Mahmood Moosazadeh

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Hybrid GOA and PSO optimization for load frequency control in renewable multi source dual area power systems by Muhammad Zubair Yameen, Abdul Khalique Junejo, Zhigang Lu, Rizwan Aziz Siddiqui, Fayez F. M. El-Sousy, Ibtisam Naveed

“…Unlike conventional tuning methods, the proposed GOA-PSO hybridization leverages the exploratory strengths of GOA and the exploitative capabilities of PSO, resulting in an optimized control strategy that significantly enhances load frequency control (LFC) performance. …”
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Optimization Algorithm of Adaptive Dual-layer Search Path Planning Based on Left-hand Traffic Rules in Mines by HUANG Jiade, LIU Yong, HU Yunqing, MEI Wenqing

“…Further optimization through the gradient descent method enables the efficient generation of safe and smooth paths. …”
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Structural-and-Parametric Optimization of Automatic Control System for Power Units of 300 MW in Wide Range of Load Variations by K. I. Artsiomenka

“…This can be achieved with the help of the method of parametric optimization of the typical ACSPU proposed in the present paper. …”
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Evaluation of physicians’ opioid prescribing practices, attitudes, and interactions with other healthcare professionals in optimizing opioid prescribing in Pakistan by Hafsa Arshad, Hafsa Arshad, Hafsa Arshad, Ali Hassan Gillani, Ali Hassan Gillani, Ali Hassan Gillani, Muhammad Arshed, Yu Fang, Yu Fang, Yu Fang

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Comparative analysis and optimization of tumor regression grade assessment systems in neoadjuvant therapy for esophageal squamous cell carcinoma by Qiao Yang, Xiaoqing Zhou, Jiayu Li, Jieyu Wang, Jingcheng Luo, Dan Luo, Lin Shi, Chengmin Zhou, Yi Wang, Xuefeng Leng, Qifeng Wang, Yang Liu, Yehan Zhou

“…Abstract Objective This study aims to compare and analyze the effectiveness of different tumor regression grade (TRG) assessment systems in evaluating neoadjuvant therapy for esophageal cancer, with the goal of identifying an optimal assessment method to guide clinical practice. …”
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Robust Time-Optimal Kinematic Control of Robotic Manipulators Based on Recurrent Neural Network Against Harmonic Noises by Yiqun Kuang, Shuai Li, Zhan Li

“…We provide a thorough theoretical analysis of the RNN-based control solver, establishing its convergence and optimality. Importantly, our method maximizes end-effector speed without violating any joint velocity limits, thereby enhancing the path-tracking speed compared to previous schemes. …”
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Bayesian optimization of biodegradable polymers via machine learning driven features from low-field NMR data by Ryo Fujita, Yoshifumi Amamoto, Jun Kikuchi

“…This study proposes a method for optimizing polymer process conditions using CNN-based features extracted from relaxation curves. …”
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