Optimal timing for assessing post-intensive care syndrome in clinical research: a scoping review and expert survey by Kohei Tanaka, Nobuto Nakanishi, Keibun Liu, Kyohei Miyamoto, Akira Kawauchi, Masatsugu Okamura, Sho Katayama, Yuki Iida, Yusuke Kawai, Junji Hatakeyama, Toru Hifumi, Takeshi Unoki, Daisuke Kawakami, Fumimasa Amaya, Kengo Obata, Hidenori Sumita, Tomoyuki Morisawa, Norihiko Tsuboi, Ryo Kozu, Shunsuke Takaki, Junpei Haruna, Kohei Ota, Yoshihisa Fujinami, Nobuyuki Nosaka, Kasumi Shirasaki, Shigeaki Inoue, Osamu Nishida, Kensuke Nakamura

“…Experts most commonly selected the period between 6 and 12 months as the optimal time point for assessment. While single assessments were most common in previous studies (337, 51%), experts considered three assessments to be ideal (12, 44%). …”
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Utilizing Enhanced Particle Swarm Optimization for Feature Selection in Gender-Emotion Detection From English Speech Signals by Ammar Amjad, Li-Chia Tai, Hsien-Tsung Chang

“…This study introduces a novel approach, Dynamic Gender-Aware Enhanced Binary Particle Swarm Optimization (DGA-EBPSO), that leverages a gender-specific particle swarm optimization (PSO) technique for feature selection to enhance SER accuracy while promoting interpretability. …”
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Optimization of Environmentally Benign Polymers Based on Thymine and Polyvinyl Sulfonate Using Plackett-Burman Design and Surface Response by Julieta Ledesma, Santiago A. Bortolato, Carlos E. Boschetti, Débora M. Martino

“…The PBD results assigned a maximum absorption signal of 0.67, while optimal conditions obtained in this experiment following the CCD method predictions provided a response of 0.83 ± 0.03, being a solid foundation for further use of this methodology in the production of potential photoresistors. …”
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System identification and robust PID controller tuning of quarter car suspension system using hybrid optimization techniques by S. Sakthiya Ram, C. Kumar, R. Saravanakumar, David Banjerdpongchai

“…A dataset comprising 397 car models is analyzed, and system parameters are selected using a combined Sequential Quadratic Programming and Pattern Search method. After validating the resulting dynamic model, various PID controllers are designed using standard metaheuristic algorithms—Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Simulated Annealing (SA). …”
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ML-based approach to potato diseases diagnosis using image processing and whale optimization algorithm for feature selection by Zhongxu Li, Seyed Mohamad Javidan

“…Feature selection plays a vital role in this process by eliminating redundant and irrelevant information while retaining the most informative features for disease diagnosis. …”
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Path planning in radioactive environment of nuclear facilities based on modified A-star algorithm and search neighborhood optimization by Biao Zhang, Xingfu Cai, Guoqiang Li, Xiaomeng Li, Minjun Peng, Haowei Wang

“…This modification improves the efficiency of path search while maintaining a low cumulative dose for staff. …”
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Optimize multi-objective transformation rules of water-sediment regulation for cascade reservoirs in the Lower Yellow River of China by Kunhui Hong, Aixing Ma, Wei Zhang, Mingxiong Cao

“…This study focuses on the operation of the Sanmenxia and Xiaolangdi cascade reservoirs, developing a multi-objective model (hydropower generation and sediment transport) and two single-objective models (hydropower generation only and sediment transport only). An innovative method (ESS-NSGA-II) is proposed, combining Efficient Search Space (ESS) with the Non-dominated Sorting Genetic Algorithm II (NSGA-II) to optimize cascade reservoirs operation. …”
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Physics-informed modeling and process optimization of friction stir welding of AA7075-T6 with a zinc interlayer by Dejene Alemayehu Ifa, Dame Alemayehu Efa, Naol Dessalegn Dejene, Sololo Kebede Nemomsa

“…Friction Stir Welding (FSW) is a solid-state joining method commonly used for joining both similar and dissimilar high-strength, low-melting-point alloys like AA7075-T6. …”
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Optimizing the mechanical and surface topography of hydroxyapatite/Gd2O3/graphene oxide nanocomposites for medical applications by M.A. El-Morsy, Nasser S. Awwad, Hala A. Ibrahium, Walaa Alharbi, Mohammad Y. Alshahrani, A.A. Menazea

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Evaluation of mechanical properties and determination of the optimal concentration of a new carbonyl-rich graphene oxide in cementitious composites by Aldo Ribeiro de Carvalho, Marcela Martins Carrara, Gabriela dos Santos Pacífico, Natany Pinho Rosa, Letícia Lopardi Leal, Marina Costa Totti, Nayton Claudinei Vicentini, Alessandro Henrique de Lima, Welber Gianini Quirino, Thaís Mayra de Oliveira

“…While other CGO concentrations also enhanced the composite, they displayed CGO agglomeration, diminishing efficiency compared to the control concrete.…”
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Polar lights optimizer: A novel algorithm for accurate parameter estimation in proton exchange membrane fuel cells by Mohammad Aljaidi, Pradeep Jangir, Arpita, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, G. Gulothungan, Ali Fayez Alkoradees, Mohammad Khishe, Reena Jangid

“…This research presents Polar Lights Optimization (PLO), a noval aurora-inspired method developed to address the current optimization challenges. …”
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Near Infrared Photoimmunotherapy Targeting EGFR Positive Triple Negative Breast Cancer: Optimizing the Conjugate-Light Regimen. by Tadanobu Nagaya, Kazuhide Sato, Toshiko Harada, Yuko Nakamura, Peter L Choyke, Hisataka Kobayashi

“…In order to minimize the dose of APC while maximizing the therapeutic effects, dosing of the APC and NIR light need to be optimized. …”
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A Collaborative Transit Signal Priority Method Considering Gaming among Traffic Participants by Bing Wu, Haishan Wang, Yanli Wang, Ben Zhai, TanXing Xue

“…To this end, a collaborative transit signal priority (Co-TSP) method is proposed. The core of Co-TSP is a two-objective optimization problem which takes the expected delays of buses and the average delays of nontransit vehicles as the objectives. …”
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An Automated and Efficient Slope Unit Division Method Coupled with Computer Graphics and Hydrological Principles by Ting Xiao, Li Zhu, Lichang Wang, Beibei Yang, Can Wang, Haipeng Yao

“…This framework achieves automated slope unit delineation without thresholds while enabling multi-attribute fusion optimization, effectively addressing the shortcomings of HPAM. …”
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Future of Agrivoltaic projects: A review from the technological forecasting perspective by Leticia Pekk, Petar Sabev Varbanov, Ting Pan, Zoltan Weltsch, Bernadett Radli-Burjan, Andras Hary, Xue-Chao Wang

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The digital interactive design of mirror painting under transformer based intelligent rendering methods by Chenye Zhang

“…Finally, style transfer optimization is carried out in combination with LoRA, maintaining style consistency while updating only a small number of parameters. …”
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An Improved Crayfish Algorithm-Based Neural Network Method for Modeling Microstrip Patch Antennas by Shao-Long Cao, Yu Shao, Yang Wang, Ju Tan, Jie Zhang

“…This paper proposes an improved crayfish optimization algorithm (ICOA) to optimize the initial weights and biases of the neural network, aiming to enhance both convergence accuracy and speed. …”
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Virtual reality locomotion methods differentially affect spatial orientation and cybersickness during maze navigation by Petr Hořejší, Alena Lochmannová, Vojtěch Jezl, Matěj Dvořák

“…These findings contribute to optimizing locomotion strategies in VR applications.…”
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Research on Tongue Image Segmentation and Classification Methods Based on Deep Learning and Machine Learning by Bin Liu, Zeya Wang, Kang Yu, Yunfeng Wang, Haiying Zhang, Tingting Song, Hao Yang

“…Tongue diagnosis is a crucial method in traditional Chinese medicine (TCM) for obtaining information about a patient’s health condition. …”
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Research and application of deep learning object detection methods for forest fire smoke recognition by Luhao He, Yongzhang Zhou, Lei Liu, Yuqing Zhang, Jianhua Ma

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