Segmented Time Study and Optimization Strategy for Clinical Application of Ethos Online Adaptive Radiotherapy by Dandan ZHANG, Yuhan KOU, Shilong ZHU, Xiaoyu LIU, Meng NING, Peichao BAN, Jinyuan WANG, Changxin YAN, Zhongjian JU

“…MethodsThe study involved 61 patients with cervical, rectal, gastric, lung, esophageal, and breast cancers who underwent Ethos OART. …”
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Comparative Analysis of Automated Machine Learning for Hyperparameter Optimization and Explainable Artificial Intelligence Models by Muhammad Salman Khan, Tianbo Peng, Hanzlah Akhlaq, Muhammad Adeel Khan

“…One of the most significant challenges in AI lies in selecting and fine-tuning the optimal algorithm for a given task. Automated Machine Learning (AutoML) models have emerged as a promising solution to address this challenge by systematically exploring hyperparameter spaces to identify optimal configurations efficiently. …”
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LSTM Logging Curve Prediction Method Based on Attention Mechanism by DAI Baoqing, PENG Jiaqiong, ZHANG Tianhuan, ZHAO Jiafeng, ZHAO Jianpeng

“…The prediction results show that: the introduction of the Att mechanism into the LSTM neural network enhances the correlation of logging features at different depths and optimizes the weight distribution of logging features in different time periods. …”
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Optimized CO2 Cycloaddition to Epichlorohydrin Catalyzed by Ionic Liquid with Microwave and Ultrasonic Irradiation by Maria Atlaskina, Zakhar Markin, Kirill Smorodin, Sergey Kryuchkov, Nikita Tsivkovsky, Anton Petukhov, Artem Atlaskin, Olga Kazarina, Andrey Vorotyntsev, Ilya Vorotyntsev

“…Considering that this method relies on catalysis, different catalysts can be used. …”
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Multi-station positioning accuracy and enhancement method for 5G by Feilong ZHAO, Lili WANG

“…RAT-dependent is a satellite independent positioning technology of 5G.3GPP gives the Cramer-Rao lower bound (CRLB) of the positioning accuracy under the ideal condition of a single station and the simulation positioning accuracy of multi-station under different network configurations.Based on the actual network conditions, the analysis framework, accuracy range of multi-station positioning accuracy and the corresponding improvement method were proposed.The experimental results show that the RAT-dependent positioning accuracy is closely related to network technologies, and the positioning accuracy of the optimized scheme can be improved by 20%～30% compared with the non-optimized scheme.…”
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Biosynthesis of Copper nanoparticles using bacterial supernatant optimized with certain agro-industrial byproducts by Abd-Elhalim, B.T., Gamal, R.F., Abou-Taleb, Kh.A., Haroun, A.A.

“…For the bacterial synthesis of CuNPs, optimization of the P. silesinsis strain A3 cell-free supernatant was carried out using seven agro-industrial residues, added to the basal medium as different carbon sources. …”
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Optimized Liveness Detection for Fast and Accurate Fingerprint Anti-Spoofing With Optical Coherence Tomography by Yilong Zhang, Heyou Yu, Haohao Sun, Yongbo Yao, Haixia Wang, Jian Liu, Yuanjie Dang, Ronghua Liang, Peng Chen

“…This study not only explores the method's effectiveness but also performs parameter analysis and optimization on multiple scales. …”
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Hybrid Attention-Enhanced Xception and Dynamic Chaotic Whale Optimization for Brain Tumor Diagnosis by Aliyu Tetengi Ibrahim, Ibrahim Hayatu Hassan, Mohammed Abdullahi, Armand Florentin Donfack Kana, Amina Hassan Abubakar, Mohammed Tukur Mohammed, Lubna A. Gabralla, Mohamad Khoiru Rusydi, Haruna Chiroma

“…Batch sizes and layer freezing methods were also adjusted according to image size. …”
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Delivering data: A real-world dataset for last-mile delivery optimizationZenodo by Anna Vrani, Savvas D. Apostolidis, Athanasios Ch. Kapoutsis, Elias B. Kosmatopoulos

“…The collected matrices were processed and structured for direct use in VRP algorithms.The dataset offers substantial reuse potential by serving as a benchmark for evaluating VRP algorithms, enabling the comparison of optimization methods based on real-world logistics problems. …”
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Bioinformatics-Driven Optimization of Wheat Breeding by Integrating Genomic Data Analysis with Phenotypic Traits by Hussein Ramy Riad, Alkhafaij Mahdi Abdulkhudur, Madhavi Karanam

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A Novel Multiobjective Optimization Approach for EV Charging and Vehicle-to-Grid Scheduling Strategy by Muhammad Aurangzeb, Yifei Wang, Sheeraz Iqbal, Md Shafiullah, Sultan Alghamdi, Zahid Ullah

“…It addresses the limitations of previous methods by considering multiple objectives, utilizing a novel optimization algorithm, handling uncertainties, promoting renewable energy integration, and providing ancillary grid support. …”
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Resilient Operation Strategies for Integrated Power-Gas Systems by Behdad Faridpak, Petr Musilek

“…The uncertainties of HILP events are modeled by different moment-based probability distributions. In this regard, considering the nature of each uncertain variable, a different probabilistic method is utilized. …”
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Optimization of In Vitro Germination, Viability Tests and Storage of Daylily (<i>Hemerocallis</i> spp.) Pollen by Wei Li, Chongcheng Yang, Jiyuan Li, Lixin Huang, Jinsong Guo, Feng Feng

“…The daylily variation of pollen vigor was significant in different cultivars, and most cultivars had the highest vigor at 9:00–12:00 a.m., which was suitable for artificial pollination. …”
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Analysis of optimizing Bicon short implant placement in posterior mandible with type II bone by Mingyi Ji, Xinyi Ji, Junfeng Xu

“…This study employs finite element analysis (FEA) to assess a typical Bicon short implant system, with the objective of determining the most effective implant for the posterior mandibular region with type II bone. Methods Eight three-dimensional finite element models were developed using three different diameters of Bicon implants (4.5 mm, 5 mm, and 6 mm) and three varying lengths (5 mm, 6 mm, and 8 mm). …”
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Optimization of Central Pattern Generator-Based Torque-Stiffness-Controlled Dynamic Bipedal Walking by William Suliman, Chadi Albitar, Lama Hassan

“…This reduction enables the employment of the particle swarm algorithm to find the optimal values of these parameters which lead to different solutions with different performance criteria. …”
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Structural Damage Identification Based on the Wavelet Transform and Improved Particle Swarm Optimization Algorithm by Jia Guo, Deqing Guan, Jianwei Zhao

“…A method based on the wavelet transform and improved particle swarm optimization (WIPSO) algorithm is proposed to identify the microdamage of structures. …”
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Optimized machine learning based comparative analysis of predictive models for classification of kidney tumors by Vatsala Anand, Ajay Khajuria, Rupendra Kumar Pachauri, Vinay Gupta

“…These models were also trained using two types of optimizers, called Adam and SGD. SVM did better when using the Adam method. …”
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Improvement of Gas Drainage Efficiency via Optimization of Sealing Depth of Cross-Measure Boreholes by Pu Li, Zhiheng Cheng, Liang Chen, Hongbing Wang, Jialin Cao

“…To determine the optimum sealing depth, gas drainage holes with different sealing depths were drilled in the field. …”
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Survey on video image reconstruction method based on generative model by Yanwen WANG, Weimin LEI, Wei ZHANG, Huan MENG, Xinyi CHEN, Wenhui YE, Qingyang JING

“…Traditional video compression technology based on pixel correlation has limited performance improvement space, semantic compression has become the new direction of video compression coding, and video image reconstruction is the key link of semantic compression coding.First, the video image reconstruction methods for traditional coding optimization were introduced, including how to use deep learning to improve prediction accuracy and enhance reconstruction quality with super-resolution techniques.Second, the video image reconstruction methods based on variational auto-encoders, generative adversarial networks, autoregressive models and transformer models were discussed emphatically.Then, the models were classified according to different semantic representations of images.The advantages, disadvantages, and applicable scenarios of various methods were compared.Finally, the existing problems of video image reconstruction were summarized, and the further research directions were prospected.…”
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Development and Optimization of Osmotically Controlled Asymmetric Membrane Capsules for Delivery of Solid Dispersion of Lycopene by Nitin Jain, Rashmi Sareen, Neeraj Mahindroo, K. L. Dhar

“…Solid dispersions of lycopene with β-cyclodextrin in different ratios were prepared using solvent evaporation method. …”
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