Large language models versus traditional textbooks: optimizing learning for plastic surgery case preparation by Chandler Hinson, Cybil Sierra Stingl, Rahim Nazerali

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Plasma microRNAs to Select Optimal Patients for Antibody Production from Anti-Addiction Vaccines by Thomas R. Kosten, Amrit Koirala, David A. Nielsen, Coreen B. Domingo, Ynhi T. Thomas, Preethi H. Gunaratne, Cristian Coarfa

“…Furthermore, 11 among 1673 genes were targeted by 3 or more of the 12 down DE-miRs. <b>Conclusions</b>: A significant DE-miR for identifying optimal antibody responders replicated previous vaccine study predictors (miR-150), and several more miRs appear to be strong candidates for future consideration in replications based upon significance of individual DE-miRs and upon multiple miRs converging on individual genes.…”
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A control-driven transition strategy for enhanced multi-level threshold image segmentation optimization by Laith Abualigah, Mohammad H. Almomani, Saleh Ali Alomari, Raed Abu Zitar, Vaclav Snasel, Kashif Saleem, Aseel Smerat, Absalom E. Ezugwu

“…Based on the existing structure, two different types of optimization techniques are added within IFLANO to enhance the update dynamics during optimization. …”
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Determination of similar material proportions based on orthogonal experiments and neural network optimization in the goaf area by Shengdi Wang, Junzhi Chen, Yonggang Zhang, Xiaowei Qiao, Zhiping Zhang, Xin Wang

“…Compared with traditional BP neural network, the results show that the PSO-BP model has a higher prediction correlation coefficient R2 than the traditional BP model, while the root mean square error (RMSE) and mean absolute error (MAE) are lower than the traditional BP model, indicating that the PSO-BP model has better and more stable prediction performance.So PSO-BP neural network model can more accurately predict the optimal mixing ratio for similar materials. …”
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Providing a framework to optimize the sustainable construction material supply chain with the possibility of horizontal transfers by Hamed Ghamari, Hamidreza Abbasianjahromi, Seyed Mohammad Mirhosseini

“…In the construction sector, SCM can guide managers in strategic planning and foster collaboration with suppliers, leading to more effective project execution. Despite its importance, limited research has focused on designing sustainable supply chains for construction materials under uncertain conditions. …”
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Modeling and optimization of renewable hydrogen systems: A systematic methodological review and machine learning integration by M.D. Mukelabai, E.R. Barbour, R.E. Blanchard

“…Best practices for creating load profiles in regions like the Global South are discussed, along with an evaluation of AI-based and traditional optimization methods and software tools. Finally, a new evidence-based multi-criteria decision-making framework integrated with machine learning insights, is proposed to guide decision-makers in selecting optimal solutions based on multiple attributes, offering a more comprehensive and adaptive approach to renewable hydrogen system optimization.…”
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Three-Dimensional Path Planning for Unmanned Aerial Vehicles Based on Hybrid Multi-Strategy Dung Beetle Optimization Algorithm by Hongmei Fei, Ruru Liu, Leilei Dong, Zhaohui Du, Xuening Liu, Tao Luo, Jie Zhou

“…To obtain an optimal or near-optimal path within this vast search space, it is essential to balance the path length, safety, and computational cost. …”
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Application of the metaheuristic algorithms to quantify the GSI based on the RMR classification by Pouya Koureh Davoodi, Farnusch Hajizadeh, Mohammad Rezaei

“…This study addresses this challenge by analyzing data from fourteen different rock types and employing three metaheuristic optimization algorithms, namely Particle Swarm Optimization (PSO), Simulated Annealing (SA), and Grey Wolf Optimization (GWO), to develop predictive models for quantifying GSI based on the RMR. …”
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Dual-Resource Optimization Configuration and Collaborative Scheduling for Flexible Job Shop Under Worker Flexibility Constraints by Zijie Ren, Hongyi Qu, Mejdl Safran, Jiafu Wan

“…Test case results validate that the proposed algorithm can determine multi-skilled worker configuration strategies and achieve excellent scheduling solutions, completing the production tasks quicker, with lower costs and a more balanced task distribution.…”
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COMPUTER QUANTUM-CHEMICAL JUSTIFICATION FOR SELECTING THE OPTIMAL POLYSACCHARIDE FOR EFFECTIVE STABILIZATION OF NANOSIZED ZINC OXIDE by A. V. Blinov, K. S. Slyadneva, A. A. Gvozdenko, A. A. Blinova, M. A. Pirogov

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Research on Regional Strategic Emerging Industry Selection Models Based on Fuzzy Optimization and Entropy Evaluation by Xiuying Guo, Xiaofeng Hui

“…First, the paper uses the fuzzy optimization theory to select the central industry of area as the regional strategic emerging industry and try to optimize the weight’s calculation in the multistage fuzzy comprehensive evaluation to get more accurate results. …”
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Optimized Design of Cultural Space in Wuhan Metro: Analysis and Reflection Based on Multi-Source Data by Zhengcong Wei, Yangxue Hu, Yile Chen, Tianjia Wang

“…It is currently attracting more and more attention from the academic community. …”
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Ultrasound Examination of Skin, Fasciae and Subcutaneous Tissue: Optimizing Rehabilitation for Secondary Upper Limb Lymphedema by Carmelo Pirri, Chiara Ferraretto, Nina Pirri, Lara Bonaldo, Raffaele De Caro, Stefano Masiero, Carla Stecco

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Optimal Scheduling of Hydro-photovoltaic Complementary Systems Based on Multi-objective Moth-flame Algorithm by LI Ze-hong, YUAN Xiao-feng, XIAO Peng, ZHANG Tai-heng, QIN Hui

“…Moreover, compared with pure hydropower scheduling, the optimal scheduling of hydro-photovoltaic complementary systems is more complex to solve. …”
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Optimizing Vital Signs in Patients With Traumatic Brain Injury: Reinforcement Learning Algorithm Development and Validation by Hongwei Zhang, Mengyuan Diao, Sheng Zhang, Peifeng Ni, Weidong Zhang, Chenxi Wu, Ying Zhu, Wei Hu

“…ConclusionsThis RL algorithm for patients with TBI indicates that a more personalized and targeted optimization of the vital signs is possible. …”
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Optimizing athletic engagement and performance of obese students: an adaptive approach through basketball in physical education by Oumayma Slimi, Oumayma Slimi, Antonella Muscella, Santo Marsigliante, Mourad Bahloul, Georgian Badicu, Abdullah F. Alghannam, Fatma Hilal Yagin

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Self-Organized Connectivity Control and Optimization Subjected to Dispersion of Mobile Ad Hoc Sensor Networks by Zhenqiang Mi, Yang Yang, Hao Ding

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Simplify manuscript submission and optimize authors&amp;rsquo; resources by eliminating formatting and cover letters by Jaime Teixeira da Silva

“…Academics are under constant pressure to optimize their time. Formatting requirements imposed on academics by journals or editors during initial manuscript submission may waste precious time, energy, and financial resources, especially if a paper is desk-rejected, and even more so when there are multiple rejections. …”
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The Optimal Homotopy Asymptotic Method for the Solution of Higher-Order Boundary Value Problems in Finite Domains by Javed Ali, S. Islam, Hamid Khan, Syed Inayat Ali Shah

“…The results show that the proposed method is more effective and reliable.…”
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Optimization strategy of virtual machine online migration with awareness of application characteristics and network bandwidth migration by Xiang LI, Ning-jiang CHEN, Shang-lin YANG, Hua LI

“…Firstly the experiments to verify the relationship between the number of dirty memory pages and application characteristics which exist in virtual machine migration was conducted.Then,different virtual machine application characteristics were perceived,with which the number of dirty memory pages produced during the migrations was predicted by the use of GM(1,N) grey prediction model.At the same time,using residual correction to adjust error makes results more reliable.According to the prediction of memory dirty pages,network bandwidth was adjusted and reserved.Compared with the traditional pre-copy strategy,the given experiments show that the optimized strategy proposed can improve the performance of network and reduce migratory cost for the memory-intensive and network-intensive applications.…”
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