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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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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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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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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Two-Stage Collaborative Power Optimization for Off-Grid Wind–Solar Hydrogen Production Systems Considering Reserved Energy of Storage by Yiwen Geng, Qi Liu, Hao Zheng, Shitong Yan

“…To address this, this paper proposes a two-stage power optimization method integrating rule-based allocation with algorithmic optimization for wind–solar hydrogen production systems, considering reserved energy storage. …”
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Biomimetic Computing for Efficient Spoken Language Identification by Gaurav Kumar, Saurabh Bhardwaj

“…The proposed method employs Dung Beetle Optimization (DBO) with Deep Learning, simulating the beetle’s foraging behavior to optimize feature selection and classification performance. …”
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Multi scale fusion point cloud denoising method based on improved statistical filtering by Guisheng DAI, Tianshan SUN

“…This study proposes a multi-scale fusion point cloud denoising method based on improved statistical filtering using a joint optimization approach of curvature and statistical filtering. …”
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Fleet management algorithm for enhancing environmental friendliness of maritime delivery by Андрій Романов

“…In addition, the results will be validated and the efficiency of the developed algorithm will be compared with a standard genetic algorithm without a speed optimization step. Methods. This article proposes an implementation of an additional step of vessel speed optimization into the algorithm for calculating delivery routes, which can significantly reduce fuel consumption and CO2 emissions without increasing the complexity of the algorithm itself. …”
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Application and impact of multi-power quality objective optimization control in low-voltage ride-through for grid-connected inverters by Haining Wang, Jiang Geng, Bowen Feng, Di Xie, Peng Zhang, Liangliang Wang, Jigang Yao

“…This paper proposes a model predictive control (MPC)-based power quality optimization method designed to enhance the low-voltage ride-through (LVRT) capability of grid-connected inverters under various grid voltage sag conditions, while achieving multi-objective power quality optimization. …”
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Character-Level Adversarial Samples Generation Method Based on Dual-Layer Text Watermark by Houyue Wu, Xianwei Li, Shunxiang Zhang, Honghao Zhu

“…This approach ensures that the generated samples significantly reduce the performance of target models while preserving semantic meaning. Experiments on four benchmark datasets show that our method outperforms state-of-the-art baselines. …”
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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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Uncertain Parameters Adjustable Two-Stage Robust Optimization of Bulk Carrier Energy System Considering Wave Energy Utilization by Weining Zhang, Chunteng Bao, Jianting Chen

“…To ensure safe and reliable navigation despite uncertainties in wave energy output, onboard power loads, and outdoor temperature, a robust coordination method is adopted. This method employs a two-stage robust optimization (RO) strategy to coordinate the various onboard units across different time scales, minimizing operational costs while satisfying all operational constraints, even in the worst-case scenarios. …”
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Sampling Method Based on Fuzzy Membership for Computing Negative Sample Credibility and Its Applications by Zhijie Ning, Yongbo Tie

“…The results are as follows: (1) Increasing the credibility threshold progressively improves model precision while inducing systematic overestimation bias in regional susceptibility assessment; (2) Integrated analysis of model performance and landslide distribution characteristics (where recall, F1-score, and AUC values initially increase then decrease) confirms the optimal effectiveness when selecting negative samples within a credibility threshold range of 0.7–1.0. …”
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Adaptive polarimetric optimization for ground deformation monitoring using multi-temporal InSAR with dual-polarization sentinel-1 by Leixin Zhang, Feng Zhao, Yunjia Wang, Jordi J. Mallorqui, Teng Wang, Yuxuan Zhang, Zhongbo Hu, Sen Du, José Fernández

“…However, traditional high-efficiency PolMTI methods cannot adaptively optimize both persistent scatterer (PS) and distributed scatterer (DS), while existing adaptive methods have high computational burdens. …”
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New improvement ion exchange treatment method for drinking water in Juybar City, Iran by Yasin Nasrollahi, Mojtaba Khoshravesh, Ghasem Aghajani Mazandarani

“…Abstract Due to the high cost of water refinement by chemicals, refinement is very important with low-cost methods. By promoting for cost-effective strategies, communities and regions can enhance their ability to address the increasing need for clean water while reducing the financial burden associated with traditional chemical treatments. …”
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Optimal Flexibility Provision of Electric Vehicle and Photovoltaic Systems Through Probabilistic Forecasting and Unsuccessful Day-Ahead Market Integration by Anulekha Saha, Arnon Teawnarong, Surachai Chaitusaney

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Adaptive Throughput Optimization in Multi-Rate IEEE 802.11 WLANs via Multi-Agent Deep Reinforcement Learning by Ming-Chu Chou, Cheng-Feng Hung, Chin-Ya Huang, Chih-Heng Ke

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New Bilevel Model to Enhance Optimal Interaction between Retailer and Customers Based on the Multiobjective Robust Approach in the Energy Market by Kourosh Apornak, Soodabeh Soleymani, Faramarz Faghihi, Babak Mozafari

“…For the presented model, in order to properly model the uncertainty of the generation capacity of wholesalers, the robust optimization approach (ROA) has been used. Finally, the mixed integer linear programming (MILP) based on McCormick’s linearization method and Karush–Kuhn–Tucker conditions will be solved by CPLEX solver in GAMS software. …”
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From immune evasion to broad in silico binding: computational optimization of SARS-CoV-2 RBD-targeting nanobody by Shuyuan Cao, Bo Sun, Feng Gao, Feng Gao, Feng Gao

“…This computational approach expedites the optimization of nanobody binding affinities while minimizing experimental resource requirements. …”
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