Advanced State-of-Health Estimation for Lithium-Ion Batteries Using Multi-Feature Fusion and KAN-LSTM Hybrid Model by Zhao Zhang, Runrun Zhang, Xin Liu, Chaolong Zhang, Gengzhi Sun, Yujie Zhou, Zhong Yang, Xuming Liu, Shi Chen, Xinyu Dong, Pengyu Jiang, Zhexuan Sun

“…By enhancing dynamic modeling capabilities and capturing long-term temporal associations, experimental results demonstrate that the method achieves highly accurate SOH estimation under various charging conditions, with low mean absolute error (MAE) and root mean square error (RMSE) values and a coefficient of determination (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula>) exceeding 97%, significantly improving prediction accuracy and efficiency.…”
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Minimal Clinically Important Differences With the Outcomes of the App-Based Japanese Allergic Conjunctival Diseases Quality of Life Questionnaire: Cross-Sectional Observational Stu... by Ken Nagino, Jaemyoung Sung, Akie Midorikawa-Inomata, Yasutsugu Akasaki, Takeya Adachi, Nobuyuki Ebihara, Ken Fukuda, Atsuki Fukushima, Kenta Fujio, Yuichi Okumura, Atsuko Eguchi, Keiichi Fujimoto, Hurramhon Shokirova, Alan Yee, Yuki Morooka, Tianxiang Huang, Kunihiko Hirosawa, Shintaro Nakao, Hiroyuki Kobayashi, Takenori Inomata

“…Data were collected through the app, ensuring comprehensive user input. MCIDs were determined using both anchor- and distribution-based methods. …”
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Comparison of a combined torus tank with a composite isogrid support with existing design solutions by Andrii Diadiuk, Volodymyr Lipovskyi

“…In this construction, the liner ensures the hermeticity of the shell and absorbs some of the meridional and annular forces, while the isogrid composite reinforcement absorbs the remaining forces. In this work, we determine the parameters and weight of the combined tanks under prototype load conditions using the engineering method of calculating the efficient torus tank with isogrid composite reinforcement. …”
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Preparation of Reed Straw-Based Panels Bonded by Soy-Based Adhesives: Optimization via Response Surface Methodology by Zhang Yingjie, Yong Wang, Wanli Lou, Dongbin Fan

“…It could provide an efficient method for massive production of reed straw particleboard.…”
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Diagnostical meaning acute phase proteins in cerebrospinal liquid in children with neuroinfections by L. A. Alekseeva, N. V. Skripchenko, T. V. Bessonova

“…Developed method of express diagnostics of the severity of inflammatory damage of the brain in bacterial meningitis in children by determination in cerebrospinal liquid alpha-2-macroglobulin is described.…”
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Identification and modelling of applicable wear conditions for stir cast Al-composite by Santanu Sardar, Santanu Kumar Karmakar, Debdulal Das

“…The influence of crucial control factors including silicon carbide (SiC) abrasive size, load, sliding distance, and velocity on the percentage variations of wear rates and friction coefficients between alloy and composite have been studied using the analysis of variance technique and full quadratic regression method. …”
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Yield and Yield Parameters Response of Cabbage to Partial Root Drying and Conventional Deficit Irrigation by Halil Demir, Harun Kaman, İlker Sönmez, Ufuk Uçan, İsmail Hakkı Akgün

“…According to the correlation coefficients, a positive relationship was determined between marketable yield and head and stem diameter, head height, WUE, and ET for marketable yield. …”
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Exploration of Energy-Saving Chilling Landscape Design Based on Algo for Group Intelligence by Zhuo Li

“…Therefore, the use of algo for group intelligences to build an energy-efficient society is a necessary path for China’s development, and the construction of energy-efficient gardens is an important part of building an energy-efficient society, and the application of energy-efficient concepts to modern landscape design is an inevitable trend in the development of urban landscaping.…”
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Transient Time Reduction in Time-Varying Digital Filters via Second-Order Section Optimization by Piotr Okoniewski, Jacek Piskorowski

“…Using a sequential quadratic programming (SQP) algorithm, we determine a time-varying coefficient trajectory over a finite horizon, ensuring a rapid convergence to steady-state behavior. …”
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INFLUENCE OF NON-LIFE INSURANCE SECTOR CLAIMS SETTLEMENT ON THE INCREASE OF TOTAL ASSETS IN NIGERIA'S INSURANCE MARKET (2000 TO 2022) by SOLOMON DAVID PERE, JOSIAH BOLOU-OWEI EDIKE

“…The Adjusted Co-efficient of Determination, which was 0.050918, shows that in the model used, the independent variable. …”
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Purification of 89Zr by Hydroxamate-Based Resins by Li-qiang WANG, Ling-yun YANG, Xiao-hua YU

“…Using hydroxamate-based resin columns, an efficient and rapid method is established for separating and purifying 89Zr from Y targets after cyclotron bombardment. …”
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点接触渐开线少齿差行星传动齿面构建 by 易文翠, 贺舒, 官雪梅

“…According to kinematics method of gear geometry principle,the tubular enveloping surface is firstly proposed.It is generated by the sphere motion along an equidistant curve which is developed based on a selected smooth curveГattached to the planetary wheel external tooth surface in the given direction.The new meshing pair is formed in terms of the established tubular surface and the general equations of gear pair are derived.Then the generation of tooth profiles of planetary wheel drive is discussed.Meanwhile,the conjugated contact curve for selected smooth curveГis determined. …”
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Investigation on Anti-fouling Capacity and Thermal Conductivity of Ni-P-PTFE Composite Coating by Wang Yongzhen, Chen Ying, He Kailong, Luo Xianglong, Gong Yulie

“…It is found that anti-fouling capacity of the Ni-P-PTFE coatings is determined by the PTFE concentration in the coating. …”
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ATO Controller Research Based on Predictive Fuzzy Control Algorithm by LIU Jiazheng, XU Juan

“…So in this paper, a predictive fuzzy control method was used for train automatic operation. It summarized the train movement equation and determined its corresponding evaluation function in the process of train running according to several optimization goal, and established the multi-step predictive control model, its rolling optimization using fuzzy multi-objective optimization model. …”
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Towards precision in bifacial photovoltaic system simulation: a model selection approach with validation by Eva-Maria Grommes, Maximilian Koch, Jean-Régis Hadji-Minaglou, Holger Voos, Ulf Blieske

“…This study employs a number of validation metrics, including relative error, coefficient of determination and Normalized Root Mean Square Error, to assess the accuracy of the simulations. …”
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Augmented robustness in home demand prediction: Integrating statistical loss function with enhanced cross-validation in machine learning hyperparameter optimisation by Banafshe Parizad, Ali Jamali, Hamid Khayyam

“…Cross-household validations confirm strong generalization, achieving coefficient of determination (R²) of 0.946 and 0.972 on unseen homes. …”
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Estimation of the Relative Chlorophyll Content of Pear Leaves Based on Field Spectrometry in Alaer, Xinjiang by Yufen Huang, Zhenqi Fan, Hongxin Wu, Ximeng Zhang, Yanlong Liu

“…The prediction model for relative chlorophyll content established in this study was more accurate for chlorophyll monitoring in pear trees, and thus, it provided a new method for rapid estimation. Moreover, the model provides an important theoretical basis for the efficient management of pear trees.…”
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Modeling and Key Parameter Interaction Analysis for Ship Central Cooling Systems by Xin Wu, Ping Zhang, Pan Su, Jiechang Wu

“…To achieve efficient prediction and optimization of the energy consumption of ship central cooling systems, this paper first constructed and validated a high-precision multi-physical domain simulation model of the ship central cooling system based on fluid heat transfer principles and the physical network method. …”
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Tunnel water inflow prediction using explainable machine learning and augmented partially missing dataset by Shengdong Ju, Guangzhao Ou, Tao Peng, Yanning Wang, Quanlin Song, Peng Guan

“…The results indicate that: (1) The constructed BO-XGBoost model exhibited exceptionally high predictive accuracy on the test set, with a root mean square error (RMSE) of 7.5603, mean absolute error (MAE) of 3.2940, mean absolute percentage error (MAPE) of 4.51%, and coefficient of determination (R2) of 0.9755; (2) Compared to the predictive performance of support vector mechine (SVR), decision tree (DT), and random forest (RF) models, the BO-XGBoost model demonstrates the highest R2 values and the smallest prediction error; (3) The input feature importance yielded by SHAP is groundwater level (h) &gt; water-producing characteristics (W) &gt; tunnel burial depth (H) &gt; rock mass quality index (RQD). …”
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Research on the Combined Load-Bearing Mechanism of Deeply Buried Pressure Pipelines Under High Internal Water Pressure by LIU Yijie, ZHANG Xuhui, HUANG Bensheng, YANG Fengjie, YUAN Mingdao, XU Yunqian

“…By solving the potential functions for the steel liner and surrounding rock as well as the contact stress between the bearing bodies, the stress, deformation at any position of the bearing structure and surrounding rock sharing rate can be accurately determined. This method accounted for the loss of circumferential bearing capacity due to concrete layer cracking by modeling it as a spring layer with a specific stiffness coefficient. …”
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