Vicugna pacos semen collection methods and review of semen parameters using Triladyl ® diluent by Juan Ramón García-Díaz, Rafael Alfonso Garzón Jarrín, Luis Alonso Chicaiza Sánchez, Blanca Jeaneth Villavicencio Villavicencio

“…It is concluded that method C is the most optimal for semen collection and that the use of Triladyl® diluent in the freezing protocol decreased seminal concentration and motility, while it increased mortality and sperm morpho anomalies after thawing.…”
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Comparison Features of Methods of Epidural Analgesia as a Part of Combined Anesthesia in Laparoscopic Surgery by N. S. Smolin, K. N. Khrapov, A. A. Khryapa

“…There were no significant differences in pain intensity between the groups after surgery.At the same time, the level of motor block was significantly higher in patients of Group 2, while in Groups 1 and 3, motor block did not develop in most of the patients.Conclusion: The optimal method of epidural analgesia in typical laparoscopic colorectal operations is the use of 0.25% ropivacaine concentration as a continuous infusion only due to ensuring an acceptable level of analgesia, adequate distribution of the sensory block, the minimum degree of motor block, as well as the least negative effect on hemodynamic parameters which reduces the volume of infusion therapy and doses of vasopressors.…”
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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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High-robustness integrated adversarial training method for fingerprint-based indoor localization systems by ZHANG Xuejun, LI Mei, CHEN Hui, WANG Guohua

“…These findings verify that EDEAD optimizes computational efficiency while maintaining high robustness.…”
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DASNeRF: depth consistency optimization, adaptive sampling, and hierarchical structural fusion for sparse view neural radiance fields. by Yongshuo Zhang, Guangyuan Zhang, Kefeng Li, Zhenfang Zhu, Peng Wang, Zhenfei Wang, Chen Fu, Xiaotong Li, Zhiming Fan, Yongpeng Zhao

“…In the optimized sampling phase, the sampling point density in key regions is adaptively increased while reducing sampling in low-priority regions, enhancing detail capture accuracy. …”
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Design and Optimization of an FPGA-Based Infrared Dim Small Target Detection Network Under a Sky Cloud Background by Yongbo Cheng, Xuefeng Lai, Yucheng Xia

“…Experimental results indicate that the proposed network structure optimization methods reduce the hardware inference time by 15.78%. …”
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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

“…The proposed method enhances hydrogen production stability and HESS supply capacity while reducing renewable curtailment rates and average production costs. …”
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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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Adaptive AI-enhanced computation offloading with machine learning for QoE optimization and energy-efficient mobile edge systems by Dinesh Kumar Nishad, Vandna Rani Verma, Pushkar Rajput, Sandeep Gupta, Anurag Dwivedi, Dharti Raj Shah

“…Abstract Mobile Edge Computing (MEC) systems face critical challenges in optimizing computation offloading decisions while maintaining quality of experience (QoE) and energy efficiency, particularly in dynamic multi-user environments. …”
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An adaptive synchronous loop phase compensation method for enhancing grid-forming transient stability by Yang Cui, Boyu Ma, Zifeng Li, Yuting Zhao

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Water hammer protection and pump-valve linkage optimization for combined pump-pressurized and gravity flow water delivery systems by Xuyun Chen, Jian Zhang, Xiaodong Yu

“…Combined pump-pressurized and gravity flow are increasingly relevant in large-scale water delivery methods, yet the transient control strategies for such integrated configurations remain insufficiently addressed. …”
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Mamba-STFM: A Mamba-Based Spatiotemporal Fusion Method for Remote Sensing Images by Qiyuan Zhang, Xiaodan Zhang, Chen Quan, Tong Zhao, Wei Huo, Yuanchen Huang

“…The spatial expert adaptively adjusts channel weights to optimize spatial feature representation, enabling precise alignment and fusion of multi-resolution images, while the temporal expert incorporates a temporal squeeze-and-excitation mechanism and selective state space model (SSM) techniques to efficiently capture short-range temporal dependencies, maintain linear sequence modeling complexity, and further enhance overall spatiotemporal fusion throughput. …”
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Optimization of heat and mass transfer in chemically radiative nanofluids using Cattaneo-Christov fluxes and advanced machine learning techniques by Shazia Habib, Saleem Nasir, Zeeshan Khan, Abdallah S. Berrouk, Waseem Khan, Saeed Islam

“…The analysis improved comprehension and surpassed conventional methods. This functionality empowers specialists to oversee the progression of optimization, identify convergence patterns, and adjust algorithms to achieve superior results, thereby making a remarkable contribution to heat transfer and fluid dynamics.…”
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Fleet management algorithm for enhancing environmental friendliness of maritime delivery by Андрій Романов

“…The study proposes an improved algorithm for constructing maritime cargo delivery routes using a genetic algorithm with a speed optimization step. Such an algorithm ensures effective management of maritime delivery route planning projects, while significantly reducing fuel consumption and CO2 emissions into the environment. …”
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Optimizing stretch-shortening cycle performance: effects of drop height and landing strategy on lower-limb biomechanics in drop jumps by Qin Zhang, Fei Li, Danielle Anne Trowell, Muzu Hou, Zhenghe Qiu, Shiqin Chen, Haifeng Ma

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Machine learning-optimized dual-band wearable antenna for real-time remote patient monitoring in biomedical IoT systems by Umar Musa, Amor Smida, Muhammad S. Yahya, Mohamed I. Waly, Jun Jiat Tiang, Nazih Khaddaj Mallat, Surajo Muhammad, Abubakar Salisu

“…The ensemble regression model outperformed others, delivering the lowest errors (MAE: 0.83%, MSE: 1.64%, RMSLE: 0.56%, RMSE: 1.83%, MSLE: 0.44%) and the highest accuracy (R2: 97.79%) while reducing the computational time by 70% compared to conventional methods. …”
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Hierarchical deep Q-network-based optimization of resilient grids under multi-dimensional uncertainties from extreme weather by Shimeng Dong, Chao Wang, Yan Zhang, Yanan Wang, Xiaodong Zhang, Linrun Guo, Liwei Ju

“…Through extensive case studies based on a realistic 118-node distribution network, the proposed model achieves significant performance improvements, including up to 35% reduction in load shedding, 30% enhancement in resilience scores, and €15 million in additional cost savings compared to conventional methods. The results underscore the framework’s ability to balance economic efficiency and system reliability while ensuring scalability across diverse operational scenarios. …”
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Optimal Multivariate Transfer Entropy to Determine Differences in Short and Long-Range EEG Connectivity in Children with ADHD and Healthy Children by Ali Ekhlasi, Ali Motie Nasrabadi, Mohammadreza Mohammadi

“… Purpose: Investigating brain connectivity using Electroencephalogram (EEG) is a valuable method for studying mental disorders, such as Attention-Deficit/Hyperactivity Disorder (ADHD), and optimizing and developing measures of effective connectivity can provide new insights into differences in brain communication in such disorders. …”
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Optimizing deep belief network for concrete crack detection via a modified design of ideal gas molecular dynamics by Tan Qin, Gongxing Yan, Huaguo Jiang, Minqi Shen, Andrea Settanni

“…The present research concentrates on the development of crack diagnosis algorithms based on vision using an optimized version of Deep Neural Network (DNN). The DNN model employed in the current study is the deep belief network (DBN), while the optimization technique is based on a newly designed variant of the Ideal Gas Molecular Movement (MIGMM). …”
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Resilience evolution and optimization strategies of ecological networks in the Three Gorges Reservoir Area: A scenario-based simulation approach by Haohua Wang, Lulu Zhou, Kangchuan Su, Yun Zhou, Qingyuan Yang

“…This study establishes an EN evaluation framework for regions with complex human-land relationships, contributing by: (1) providing empirical evidence for ecological governance and sustainable development in the TGRA; (2) offering a scientific reference for optimizing ecological security patterns; (3) developing dynamic assessment methods with transferable value, thereby providing methodological guidance for EN construction and resilience assessment in similar regions.…”
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