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 study uses molecular dynamics (MD) simulations to analyze the immune evasion mechanisms of class 1 nanobodies against emerging SARS-CoV-2 variants, and to develop an efficient in silico pipeline for rapid affinity optimization.MethodsWe employed MD simulations and binding free energy calculations to investigate the immune evasion mechanisms of four class 1 nanobodies (R14, DL4, VH ab6, and Nanosota9) against wild-type (WT) and Omicron variants, including BA.2, JN.1, and KP.3/XEC. …”
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Traditional Mongolian Medicine Qiqirigan-8 alleviates non-alcoholic fatty liver disease via restoring gut microbiota and metabolism by Dandan Yang, Dandan Yang, Wuyunsiqin, Wuyunsiqin, YanNiu, Hashentuya, Tana, Anna, Mingxing Ma, Wenhui Zhao, Menggenduxi, Minjie Wang, Minjie Wang

“…However, the material basis and in vivo metabolic process of the therapeutic effect of MMQ-8 on non-alcoholic fatty liver disease (NAFLD) remain unclear.MethodsThe chemical composition of MMQ-8 was determined using Ultra-high-performance liquid chromatography-quadrupole Exactive Mass spectrometry analysis (UHPLC-QE-MS). …”
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Optimization of dual-layer flow field in a water electrolyzer using a data-driven surrogate model by Lizhen Wu, Zhefei Pan, Shu Yuan, Xiaoyu Huo, Qiang Zheng, Xiaohui Yan, Liang An

“…A data-driven surrogate model based on deep neural network (DNN) is developed and successfully trained using data obtained by the physical VOF method. Based on the highly efficient surrogate, genetic algorithm (GA) is further utilized to determine the optimal heights of base layer and degassing layer. …”
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Automatic Real-Time Detection and Diagnosis of Liver Tumor with Ultrasound by Wu CH, Sheu JC, Chou PL, Lee J, Nien HC

“…Deep learning models included ResNet50, Xception, Inception Resnet V2, EfficientNet-B5, EfficientNetV2-S, EfficientNetV2-L, Swin-T, and Swin-B for diagnosis and YOLOR for lesion detection. …”
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Light Stable Isotopes and Their Ratios in Honey Components by Lev A. Oganesyants, Alexander L. Panasyuk, Dmitriy A. Sviridov, Mikhail Yu. Ganin, Alexey A. Shilkin, Oksana V. Serebryakova

“…The research resulted in a patent (RU2809285C1) for a new method of determining exogenous sugar-containing substances in honey.…”
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Research on Traction Speed Regulation and Braking Device of Pipeline Intelligent Plugging Robot by TANG Yang, PI Yunsen, LIU Xiang, WANG Guorong

“…Its motion influencing factors are analyzed to determine key parameters affecting speed control characteristics. …”
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Extreme high accuracy prediction and design of Fe-C-Cr-Mn-Si steel using machine learning by Hao Wu, Jianyuan Zhang, Jintao Zhang, Chengjie Ge, Lu Ren, Xinkun Suo

“…The results show that the trained support vector regression (SVR) model demonstrated the highest prediction precision for microhardness. The coefficient of determination (R2) value increased from 0.85 to 0.89 and root mean square error (RMSE) decreased from 0.39 to 0.31 after introducing the modified solid solution strengthening theory. …”
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Solar Radiation Prediction Using Decision Tree and Random Forest Models in Open-Source Software by Tucumbi Lisbeth, Guano Jefferson, Salazar-Achig Roberto, Jiménez J. Diego L.

“…The results show that the RF model has better results than the DT, with MAE and MSE values of 36.96 and 4238.77, respectively, and a determination coefficient of 0.96. The study emphasizes the importance of selecting the appropriate model based on the prediction horizon to estimate solar availability and improve solar and thermal energy system planning.…”
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Complementary Configuration and Optimal Energy Flow of CCHP-ORC Systems Using a Matrix Modeling Approach by Wencong Huang, Yufang Chang, Youxin Yuan

“…To further improve the using efficiency of the excess thermal energy, an active method, which adds the organic Rankine cycle (ORC) equipment in the CCHP system, is configured. …”
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Study on the causal relationship and optimise the extraction procedure of herbal preparation from <i>Herba Mimosae pudicae</i>, <i>Folium Erythrinae variegatae</i>, <i>Cortex Cinna... by Oanh - Hoang Hua, Van- Thi- Thanh Nguyen, Nam- Van- Ho Phan, Kiet- Khang Chung, Quyen- Hong- To Duong

“…The content of mimosine and coixol was determined using the high-performance liquid chromatography (HPLC) method. …”
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SURVIVAL OF LIVER CELLS, IMMOBILIZED ON 3D-MATRIXES, IN LIVER FAILURE MODEL by M. Y. Shagidulin, N. A. Onishchenko, M. E. Krasheninnikov, I. M. Iljinsky, N. P. Mogeiko, N. P. Shmerko, A. A. Andriyanova, P. V. Avramov, E. A. Nemets, V. I. Sevastjanov, S. V. Gautier

“…It was made a preposition about efficiency of the suggested method for correction both acute hepatic failure because even 90 days after transplantation of liver support biounit alive hepatocytes and neogenic plethoric vessels, growing through matrix were revealed.…”
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Trajectory Optimization of Hypersonic Periodic Cruise Using an Improved PSO Algorithm by Hesong Li, Yi Wang, Shangcheng Xu, Yunfan Zhou, Dan Su

“…Periodic cruise has the potential to improve the fuel-saving efficiency of hypersonic cruise vehicles but is difficult to optimize. …”
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Coupling and Coordination Between Water Poverty and High-quality Economic Development in Yellow River Basin by Wang Shuhe, Wang Lijun

“…[Methods] Based on data from nine provinces in the Yellow River basin from 2010 to 2019, The entropy weight method was used with data from nine provinces (or regions) in the Yellow River basin from 2010 to 2019 to determine the water poverty index weight. …”
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Artificial intelligence models for predicting the performance of proton exchange membrane water electrolyzers under steady and dynamic power by Thomas Waite, Alireza Sadeghi, Mohammad Yazdani-Asrami

“…The model offered a goodness of fit or coefficient of determination ( R ^2 ) value of 0.9991 for the testing data and can predict the performance of untrained electrolyzers and their operation with similar accuracy.…”
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Hexavalent Chromium Removal from Model Water and Car Shock Absorber Factory Effluent by Nanofiltration and Reverse Osmosis Membrane by Amine Mnif, Imen Bejaoui, Meral Mouelhi, Béchir Hamrouni

“…Spiegler-Kedem model was applied to experimental results in the aim to determine phenomenological parameters, the reflection coefficient of the membrane (σ), and the solute permeability coefficient (Ps). …”
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Integrated Control of Eimeria spp. in Broiler Chickens with Floor Brooding Technology in Industrial Production by E. O. Kachanova, R. T. Safiullin

“…The effectiveness of the comprehensive control of the exogenous and endogenous stages of coccidia in a poultry farm with a floor brooding of broiler chickens was determined as the efficiency or percentage reduction in the number of oocysts in bedding samples after slaughter of the previous and experimental batch of chickens, which was calculated by the formula.Results and discussion. …”
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Thermal features prediction in asphalt pavements using ANFIS-based regression by Mohammad Ali Khasawneh, Hiren Mewada, Ahmad Ali Khasawneh, Ansam Adnan Sawalha

“…The transient plane source method was employed to determine the thermal properties, and volumetric parameters such as air void volume and effective binder volume were calculated. …”
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Age estimation from morphometric features of maxillary central incisors using CBCT images by Sara Hilmi Kazzaz, Tavga Mustafa Faris, Miwan Salahalddin Abdulrahman, Mohammed Taha Ahmed Baban, Ranjdar Mahmood Talabani, Kazhan Omer Abdalrahman

“…The data were analyzed using independent Student’s t-test, Mann-Whitney test, and Spearman’s and Pearson’s correlation coefficients to determine the strength of correlations. …”
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Comparative assessment of the depth of invasion of early-stage oral cavity carcinomas based on intraoral ultrasound and computerized tomography findings by Marković-Vasiljković Biljana, Antić Svetlana, Jelovac Drago

“…The aim of the study was to evaluate the imaging presentation of early-stage OCC, determine the depth of invasion (DOI) and the greatest diameter (GD) of the tumor using the IOUS and CT methods, and compare them with histopathological (HP) findings. …”
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Parametric Characterization of a Tractor Engine by Specific Fuel Consumption by S. N. Devyanin, A. V. Bizhaev, Y. D. Pavlov, S. M. Vetrova, A. S. Barchukova

“…The statistical significance of the relationship between fuel consumption across the entire range of operating modes and the selected parameters was corroborated by the values of the coefficient of determination and Fisher’s criterion. …”
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