Better care for children with appendicitis: implementation of antibiotic stewardship optimizes postoperative therapy by Beltz, Sebastian, Fischer, Stephanie, Huenger, Frank, Vahdad, Reza, Kalhoff, Hermann, Leutner, Andreas

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Sustainable cement production: minimizing CO2 by optimizing efficiency with LC3 by Amany Mostafa, H. M. Khater, Mahmoud Gharieb, M. Anwar

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Impact of optimal therapy for noncommunicable diseases on the course and outcome of COVID-19 inpatients by I. A. Frolova, E. I. Tarlovskaya, S. V. Romanov, O. P. Abaeva, A. A. Frolov

“…To carry out a comparative analysis of the impact of optimal and suboptimal therapy for noncommunicable diseases (NCDs) at the prehospital stage on the severity and outcomes of coronavirus disease 2019 (COVID-19).Material and methods. …”
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The Optimal Estimation Model for Soil Salinization Based on the FOD-CNN Spectral Index by Jicun Yang, Bing Guo, Rui Zhang

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Artificial Intelligence in Pathology and Molecular Biology: Integrating Intelligent Systems for Laboratory Optimization by Ștefan-Claudiu MIRESCU, Rebeca-Maria POPA

“…This study evaluated the integration of AI-driven solutions in a laboratory setting, focusing on workflow optimization, client interaction, and data management. …”
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Optimization and Enhancement of Oral Bioavailability of Dabrafenib as Nanobubbles Using Quality by Design Approach by Bijili Vijaya Laxmi, Darna Bhikshapathi, Sailaja Rao

“…Moreover, they offered controlled release characteristics and can potentially enhance drug delivery to tissues or cells, maximizing pharmacological results while reducing adverse effects. Methods: PLGA NBs were formulated using solvent evaporation and optimized using a Box Behnken design considering process and formulation parameters. …”
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OPTNet: Optimized Pixel-Transformer Model for Adaptive Retinal Fundus Image Enhancement by Faisal Majed Alqahtani, Somaya Adwan, Mohd Yazed Ahmad, Salmah Binti Karman

“…This study introduces OPTNet, an optimized pixel-wise transformer model designed to efficiently enhance degraded or low-quality retinal images. …”
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Optimal number of the examined lymph nodes for different N stages in colorectal cancer by Ye Tian, Xinyu Qiao, Gaozan Zheng, Hanjun Dan, Xinyu Dou, Guangming Ren, Liaoran Niu, Pengfei Wang, Siyuan Wang, Fengsu Wu, Yumao Yang, Jianyong Zheng, Fan Feng

“…The SEER database (n = 48,331) served as the primary cohort, while the Xijing cohort (n = 4447) was used for external validation. …”
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Electrical discharge machining: Recent advances and future trends in modeling, optimization, and sustainability by Muhamad Taufik Ulhakim, Sukarman, Khoirudin, Dodi Mulyadi, Hendri Susilo, Rohman, Muji Setiyo

“…Advanced modeling techniques, such as finite element analysis (FEA) and artificial intelligence (AI)-driven simulations, have improved the accuracy of process predictions, enabling real-time adjustments and precise control of machining parameters. Optimization approaches, including machine learning-based algorithms, multi-objective optimization, and hybrid methods, have enhanced key performance indicators, such as material removal rate (MRR), surface quality, and tool wear, thereby increasing process efficiency and reducing machining time. …”
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Machine Learning‐Enhanced Optimization for High‐Throughput Precision in Cellular Droplet Bioprinting by Jaemyung Shin, Ryan Kang, Kinam Hyun, Zhangkang Li, Hitendra Kumar, Kangsoo Kim, Simon S. Park, Keekyoung Kim

“…Abstract Organoids produce through traditional manual pipetting methods face challenges such as labor‐intensive procedures and batch‐to‐batch variability in quality. …”
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Joint Optimization of Caching and Recommendation with Performance Guarantee for Effective Content Delivery in IoT by Zhiyong Liu, Hong Shen, Hui Tian

“…They focus mainly on heuristics and deep reinforcement learning methods without the provision of performance guarantees, which are required in many real-world applications. …”
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A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem by Lamees Mohammad Dalbah, Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Raed Abu Zitar

“…Due to the complex nature of the capacitated vehicle routing problem, metaheuristic optimization algorithms are widely used for tackling this type of challenge. …”
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Optimal PSA Threshold for Obtaining MRI-Fusion Biopsy in Biopsy-Naïve Patients by Luke L. Wang, Brandon L. Henslee, Peter B. Sam, Chad A. LaGrange, Shawna L. Boyle

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Multi-objective optimization and parameter sensitivity study on microreactor nuclear power systems by Ersheng You, Yiyi Li, Jianjun Xu, Dianchuan Xing, Haochun Zhang

“…Aiming at the MRNPS based on Brayton cycles, the particle swarm optimization (PSO) method was used to carry out the optimization calculation and analysis of three target parameters: system thermal efficiency, power-to-weight ratio and radiator heat removal area. …”
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Knowledge embedding and interpretable machine learning optimize comprehensive benefits for water treatment by Yu-Qi Wang, Wenchong Tian, Hao-Lin Yang, Yun-Peng Song, Jia-Ji Chen, Qiong-Ying Xu, Wan-Xin Yin, Le-Qi Ding, Xi-Qi Li, Han-Tao Wang, Ai-Jie Wang, Hong-Cheng Wang

“…This framework reduces economic costs while optimizing water quality through KE and interpretability analyses, providing evidence for the safe and reliable application of future models.…”
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Recent advancements in alternative energies, technological innovations, and optimization strategies for seaport decarbonization by Asif Raihan, Md Al Hasnat, Syed Masiur Rahman, Mohammad Ridwan, Md Masudur Rahman, Md Tasbirul Islam, Tapan Sarker, Bablu Kumar Dhar, ABM Mainul Bari

“…Decarbonizing ports is essential for reducing the marine industry's environmental impact and improving urban areas, while also attracting investors. Port authorities are investigating methods to reduce carbon emissions to comply with increasing environmental standards. …”
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Design of Hybrid Renewable Energy Systems: Integrating Multi‐Objective Optimization Into a Multi‐Criteria Decision‐Making Framework by Tebello Ntsiki Don Mathaba, Khaled Abo‐Al‐Ez

“…A combination of the MO particle swarm optimization and a newly developed MO leaders‐and‐follower algorithms (MO‐LaF/PSO) is used to generate optimal configurations based on minimal levelized cost of energy (LCOE), renewable energy (RE) power abandonment, and CO2 emissions, while maintaining an acceptable level of reliability. …”
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Optimized processing and formulation for retaining the sensory and nutritional quality of mustard leaf tea by Xuena Yu, Hongmei Di, Yatian Zhao, Ruobin Liu, Yiqing Wang, Yuxin Lu, Kehao Liang, Zhifeng Chen, Jie Ma, Zhongrong Guan, Zhi Huang, Yi Tang, Jingyi Xu, Huanxiu Li, Qian Tang, Yiting Chen, Jinlin Bian, Fen Zhang, Bo Sun

“…Next, eight processing methods for purple-leaf mustard were employed. The mustard leaf tea, processed using a combination of steaming fixation, rolling, and vacuum freeze-drying technology, demonstrated effective preservation of health-promoting compounds while maintaining a desirable flavor profile. …”
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Constructing the optimal experimental autoimmune thyroiditis mouse model using porcine thyroglobulin by Ke Liu, Pei Zhang, Zi-Shan Jin, Xiang-Kun Meng, Jin-Li Luo, Jin-Li Luo, Jin-Li Luo, Lin Han, Xiao-Tong Yu

“…This study systematically compares pathological and immunological effects of different immunization conditions (antigen dose, frequency, administration methods) in NOD/LtJ mice to establish an optimal model for elucidating AIT pathogenesis and therapies.MethodsEighty female NOD/LtJ mice were divided into subcutaneous (SC) and tail vein intravenous (IV) injection groups. …”
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Optimal Coordinated Flood Control Scheduling of Three Gorges and Qingjiang Cascade Reservoirs by ZHAO Hui, ZHU Yu-xin, LIU Yuan, HUANG Bin, PANG Shu-sen, HUANG Di

“…By selecting combinations of different flood areas in the Three Gorges and Qingjiang river basins as model inputs, this study aims to establish a multi-objective joint flood control optimal scheduling model, with innovative optimization of the activation timing and utilization methods for the reservoir group’s flood control capacity. …”
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