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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Multiple model visual feature embedding and selection method for an efficient ocular disease classification by Isha Kansal, Vikas Khullar, Preeti Sharma, Supreet Singh, Junainah Abd Hamid, A. Johnson Santhosh

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Students’ Perceptions of the Literature Circles Method in English Learning at SMKN 1 Toraja Utara by Demma Palulun, Yizrel Nani Sallata, Linerda Tulaktondok

“…Students also acknowledged the method’s ability to build responsibility, motivation, and critical thinking. …”
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Substantiation of Drying Modes for a New Universal Method of Short Flax Fiber Drying by E. V. Novikov, I. N. Altukhova, E. N. Koroleva, A. V. Bezbabchenko

“…The temperature of the drying agent continuously increases, while the exhaust air temperature initially drops by 25-28 degrees Celsius before rising again. …”
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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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Quantitative soil characterization using the frequency domain electromagnetic induction method in heterogeneous fields by G. Mendoza, G. Blanchy, G. Blanchy, E. Van De Vijver, J. Verhegge, J. Verhegge, W. Cornelis, P. De Smedt, P. De Smedt

“…<p>The frequency domain electromagnetic induction (FDEM) method is a widely used tool for geophysical soil exploration. …”
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A Game-Theoretic Model of Optimal Clean Equipment Usage to Prevent Hepatitis C Among Injecting Drug Users by Kristen Scheckelhoff, Ayesha Ejaz, Igor V. Erovenko

“…Our study demonstrates a robust method for integrating game theory with epidemiological models to analyze voluntary health interventions. …”
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Assessment of Circulating Tumor Cells in Colorectal Cancer as an Adjunctive Non-invasive Diagnostic Method by Saskia Aziza Nursyirwan, Murdani Abdullah, Andri Sanityoso Sulaiman, Ikhwan Rinaldi, Dadang Makmun, Marcellus Simadibrata, Dimas Ramadhian Noor, Agustinus Wiraatmadja, Wifanto Saditya Jeo, Nur Rahadiani, Diah Rini Handjari, Hamzah Shatri

“…This study aimed to assess the diagnostic potential of CTC in CRC as an adjunctive diagnostic method using a subjective manual identification method and laser capture microdissection at 40x magnification. …”
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An Optimized and Energy-Efficient Ad-Hoc On-Demand Distance Vector Routing Protocol Based on Dynamic Forwarding Probability (AODVI) by Hailu Gizachew Yirga, Gizatie Desalegn Taye, Henock Mulugeta Melaku

“…Flooding is a frequent method for broadcasting route request (RREQ) packets, which is susceptible to broadcast storms. …”
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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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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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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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Efficient Removal of Tartrazine Yellow Azo Dye by Electrocoagulation Using Aluminium Electrodes: An Optimization Study by Response Surface Methodology by Senka Gudić, Nikša Čatipović, Marija Ban, Sandra Svilović, Nediljka Vukojević Medvidović, Andrei Rotaru, Ladislav Vrsalović

“…A numerical optimisation method using response surface methodology (RSM) was applied to determine the optimal operating conditions for TY dye removal. …”
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Evaluating a cassava crop growth model by optimizing genotype-specifc parameters using multienvironment trial breeding data by Pamelas M. Okoma, Siraj Ismail Kayondo, Ismail Y. Rabbi, Patricia L. Moreno-Cadena, Patricia L. Moreno-Cadena, Gerrit Hoogenboom, Gerrit Hoogenboom, Jean-Luc Jannink, Jean-Luc Jannink

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Optimal gestational weight gain in women with pregestational type 2 diabetes: a population-based cohort study in China by Yiwei Xue, Zifeng Cui, Xinyu Shu, Juan Juan, Xin Kang, Mi Yao, Xu Chen, Zhuo Wei, Lingyi Kong, Haitian Chen, Shihong Cui, Fengchun Gao, Ping Zhu, Jianying Yan, Xia Xu, Li Zhang, Yanxia Wang, Yang Mi, Huixia Yang

“…Excessive GWG significantly elevated risks of preeclampsia, LGA, macrosomia, and neonatal hypoglycemia, while protecting against small-for-gestational-age (SGA). …”
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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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Multivariate optimization of Selaginellae Herba carbonization processing and its comparative analysis of antioxidant activity between crude and processed products by Wenting Zhong, Xi Wang, Hui Wang, Feng Gao, Menghua Wu, Zhiguo Ma, Tulin Lu, Hui Cao, Ying Zhang

“…Objective: To optimize Selaginellae Herba Carbonisata (SH-Ca) processing using Box-Behnken Design Response Surface Methodology (BBD-RSM) combined with Analytic Hierarchy Process (AHP) and Entropy Weight Method (EWM), and comparatively evaluate its antioxidant enhancement over crude herb (SH-Cr) Methods: Processing parameters (input quantity, temperature, time) were optimized via BBD-RSM-AHP-EWM, with quality assessed by carbon adsorption capacity (CAC), total flavonoid content (TFC), chromatic aberration value (CAV), and appearance characteristics scoring (ACS). …”
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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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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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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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