An Elderly-Oriented Form Design of Low-Speed New Energy Vehicles Based on Rough Set Theory and Support Vector Regression by Zimo Chen

“…Second, the cars’ appearances are deconstructed by morphological analysis, and the key design features affecting elderly-oriented satisfaction are identified by a rough set attribute reduction algorithm. Finally, support vector regression is used to establish a mapping model of elderly-oriented Kansei factors and the key design features to predict the elderly-oriented form design of optimal low-speed NEVs. …”
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A deep operator network for Bayesian parameter identification of self-oscillators by Tobias Sugandi, Bayu Dharmaputra, Nicolas Noiray

“…The proposed approach can directly predict the finite-time KM coefficients, eliminating the intermediate computation of the solution field of the adjoint Fokker–Planck equation. …”
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Optimizing chemotherapeutic targets in non-small cell lung cancer with transfer learning for precision medicine. by Varun Malik, Ruchi Mittal, Deepali Gupta, Sapna Juneja, Khalid Mohiuddin, Swati Kumari

“…This makes it possible to extract deep features that address the issue of false alarms. For dimensionality reduction, the modified Rime optimization (MRO) algorithm is used to select the best features among multiples. …”
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Few-shot crop disease recognition using sequence- weighted ensemble model-agnostic meta-learning by Junlong Li, Quan Feng, Junqi Yang, Jianhua Zhang, Jianhua Zhang, Sen Yang

“…The SWE-MAML framework employs meta-learning to sequentially train a set of base learners, followed by a weighted sum of their predictions for classifying plant disease images. This method integrates ensemble learning with Model-Agnostic Meta-Learning (MAML), allowing the effective training of multiple classifiers within the MAML framework. …”
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Effect of Achieving Sustained SDAI Remission on Erosion Healing in Early Rheumatoid Arthritis - A One-year Prospective HR-pQCT Study by Qihan Wu, Ho So, Tsz-Ho Cheng, Yingzhao Jin, Sze-Lok Lau, Lai-shan Tam

“…After 12 months, a significant reduction in erosion volume and marginal osteosclerosis was observed in both groups. …”
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The Influence of Process and Slag Parameters on the Liquid Slag Layer in Continuous Casting Mold for Large Billets by Zhijun Ding, Chao Wang, Xin Wang, Pengcheng Xiao, Liguang Zhu, Shuhuan Wang

“…Increasing argon flow rate from 0.50 L·min⁻¹ to 1.00 L·min⁻¹ leads to 350 mm deeper bubble penetration, 10 mm reduction in jet penetration depth, 0.002 m·s⁻¹ increase in meniscus velocity, and decreased meniscus temperature due to bubble cooling. …”
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Precise irrigation of dryland cotton under canal irrigation system constraints based on the CERES-CROPGRO-Cotton model by Lei Wang, Liang He, Weihong Sun, Chen Gao, Zhenxiang Han, Meiwei Lin

“…The framework analyzes the interactions between weather, soil, irrigation strategies, and other factors, enhancing cotton yield prediction. The results indicate that the intelligent decision-making algorithm outperforms traditional methods under data limitations, reducing the irrigation water consumption-yield ratio (Ui) by 3.99 %, while increasing yield by 8.5 % to 9724 kg/ha, thus achieving both water-saving and yield-enhancing objectives. …”
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EFFICIENCY OF NEW IMMOBILIZED PROBIOTIC AS A PART OF TREATMENT OF PULMONARY TUBERCULOSIS PATIENTS by I. V. Belovа, I. V. Solovievа, A. G. Tochilinа, S. F. Bаrbolinа, A. V. Pаvlunin, A. S. Shprykov

“…The offered algorithm proved to be effective for prevention of disorders in microorganism community, enhancement of adherence to treatment, reduction of frequency, severity and duration of side effects to anti-tuberculosis drugs.…”
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Reverberation Mapping of Lamppost and Wind Structures in Accretion Thin Disks by James Hung-Hsu Chan, Joshua Fagin, Henry Best, Matthew J. O’Dowd

“…To address the discrepancy where disk sizes exceed those predicted by standard models, we explore two extensions to disk size estimates within the UV/optical wavelength range: disk winds and color correction. …”
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Uncovering Hippo pathway-related biomarkers in acute myocardial infarction via scRNA-seq binding transcriptomics by Xingda Li, Xueqi He, Yu Zhang, Xinyuan Hao, Anqi Xiong, Jiayu Huang, Biying Jiang, Zaiyu Tong, Haiyan Huang, Lian Yi, Wenjia Chen

“…Notably, NAMPT, CXCL1, and GIMAP6 exhibited cell-type-specific expression in endothelial cells and macrophages. We further predicted 179 potential therapeutic agents targeting these biomarkers. …”
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Multi-Head Attention Based Bidirectional LSTM for Spelling Error Detection in the Indonesian Language by Yanfi Yanfi, Haryono Soeparno, Reina Setiawan, Widodo Budiharto

“…This study aims to address this gap by presenting a novel algorithm to improve spelling mistake detection within the Indonesian language context. …”
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Estimation of Ultrahigh Resolution PM_2.5 in Urban Areas by Using 30 m Landsat-8 and Sentinel-2 AOD Retrievals by Hao Lin, Siwei Li, Jiqiang Niu, Jie Yang, Qingxin Wang, Wenqiao Li, Shengpeng Liu

“…The results showed an overall high coefficient of determination (R²) of 0.82 and 0.76 for the model training accuracy based on samples and stations, respectively. The model prediction accuracy in Beijing and Wuhan reached R² values of 0.86 and 0.85. …”
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All-Weather Precipitable Water Vapor Retrieval over Land Using Integrated Near-Infrared and Microwave Satellite Observations by Shipeng Song, Mengyao Zhu, Zexing Tao, Duanyang Xu, Sunxin Jiao, Wanqing Yang, Huaxuan Wang, Guodong Zhao

“…Accurate estimation of PWV is essential for numerical weather prediction, climate modeling, and atmospheric correction in remote sensing. …”
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A temporal fusion method for modeling the rate of penetration during deep geological drilling by Yang ZHOU, Chengda LU, Min WU, Xin CHEN, Ningping YAO, Haitao SONG, Youzhen ZHANG

“…Post-temporal regulation, the ROP model yielded more accurate predicted trends for both well sections, with respective prediction accuracy reaching up to 80% and 87.5%. …”
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A Study on Fitting Longitudinal Profiles of Railway Station Tracks by Junhao Zeng, Lianbo Deng, Wenqin Deng, Jinglan Jiang, Yuantian Huang

“…Finally, the effectiveness of the proposed model and algorithm is validated through a case study. With a total grade value adjustment of only 0.45‰ based on the least squares method, the proposed fitting algorithm achieves a 38.7% reduction in track raising and lowering compared to manual fitting. …”
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Confidence sharing: an economic strategy for efficient information flows in animal groups. by Amos Korman, Efrat Greenwald, Ofer Feinerman

“…We also show that this algorithm is minimal, in the sense that further reduction in communication may significantly reduce performances. …”
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Self-Optimization of Pilot Power in Enterprise Femtocells Using Multi objective Heuristic by Lina S. Mohjazi, Mahmoud A. Al-Qutayri, Hassan R. Barada, Kin F. Poon, Raed M. Shubair

“…The algorithm was also compared with the fixed pilot power scheme. …”
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Maximum Power Extraction in Photovoltaic Systems Using High-Performance Adaptive Control Approach by Ahmed Ouaret, Hocine Lehouche, Adel Oubelaid, Arvind Yadav, Boubekeur Mendil, Ievgen Zaitsev

“…When compared to traditional control methods, the proposed approach demonstrates significant improvements, notably in terms of power extraction efficiency and system loss reduction. Moreover, the control algorithm effectively ensures accurate tracking of set points. …”
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Numerical Simulation of Wind-Induced Vibration Response Characteristics of High-Rise Buildings with Podiums by Guangbiao Jiang, Zeyan Chen, Hongxi Qin, Linlei Dong, Ao Tang

“…High-rise building structures with podiums are widely present, and establishing a fast numerical prediction method to evaluate their wind-induced response characteristics is of great significance for engineering applications. …”
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An Anomaly Detection Method for Multivariate Statistical Process Based on POT by Dazhi ZHANG, Xiaoyu LUO, Sheng ZHENG

“…Considering the limitations of fixed thresholds and manual detection methods, which are difficult to adapt to the dynamic changes in time series data, this paper proposes an anomaly detection method based on peaks-over-threshold (POT) algorithm for multivariate statistical processes. [Method] The principal component analysis (PCA) method was adopted to construct an anomaly detection model, where the squared prediction error (SPE) statistic of the model served as the initial threshold for the POT algorithm. …”
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