Analysis of Radial Force, Vibration, and Noise in Low-speed, High-torque Density Spoke-type PMSMs with Symmetric and Asymmetric Assisted Poles Designs by Sayyed Haleem Shah, Yun-Chong Wang, Dan Shi, Jian-Xin Shen

“…Firstly, an analytical expression for the machine radial electromagnetic force (REMF) is derived to quickly estimate the REMF characteristics for the ST-PMSM with assisted poles having symmetric and asymmetric topologies. The 2D-Fourier decomposition method is applied to investigate the radial electromagnetic force harmonics (REMFHs). …”
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Nonlinear Vibration of Multi-Walled Carbon Nanotubes with Initial Curvature Resting on Elastic Foundations in a Nonlinear Thermo-Magnetic Environment by Gbeminiyi Musibau SOBAMOWO, James A. AKANMU, Olurotimi A. ADELEYE, Samuel AKINGBADE, Ahmed Amao YINUSA

“…The derived systems of nonlinear vibration models are solved with the aid of the Galerkin decomposition and the homotopy perturbation method. …”
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Global, Regional, and National Burden of Breast Cancer, 1990–2021, and Projections to 2050: A Systematic Analysis of the Global Burden of Disease Study 2021 by Tong Deng, Hao Zi, Xing‐Pei Guo, Li‐Sha Luo, Ya‐Long Yang, Jin‐Xuan Hou, Rui Zhou, Qian‐Qian Yuan, Qing Liu, Qiao Huang, Gao‐Song Wu

“…Projections were conducted using Bayesian age‐period‐cohort and autoregressive integrated moving average models. Results In 2021, approximately 2.12 million new breast cancer cases and 674 199 deaths were recorded globally. …”
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Study of the influence of ozone-air mixture supply conditions on the process of the photoresist removal from the silicon wafer surface by O. I. Tsikhan, S. I. Madveika, S. V. Bordusau, A. L. Barakhoev, P. V. Kamlach

“…The experiments were carried out using the developed research bench, in which the mode and method of heating, as well as the method of supplying gas to the surface of the photoresist, were varied. …”
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Unraveling regulatory programs for NF-kappaB, p53 and microRNAs in head and neck squamous cell carcinoma. by Bin Yan, Huai Li, Xinping Yang, Jiaofang Shao, Minyoung Jang, Daogang Guan, Daogang Guan, Sige Zou, Carter Van Waes, Zhong Chen, Ming Zhan

“…This approach is based on matrix decomposition modeling under the joint constraints of sparseness and regulator-target connectivity, and able to integrate gene expression profiling and binding data of regulators. …”
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Dynamic Aerial Small Target Detection Algorithm Based on Compound Zoom Scaling by Jiang Yuan, Zhu Gaofeng, Zhu Fenghua, Xiong Gang

“…Firstly, a more efficient backbone network is introduced, and a composite scaling method is employed to optimize the balance among network depth, width, and image resolution. …”
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Application of “high-fidelity and high-resolution” processing technology in thin reservoir identification: A case study of the deep Permian Maokou Formation in Penglai area, centra... by PENG Haotian, HE Qinglin, CHEN Kang, ZENG Ming, HE Zongqiang, TU Zhihui, KONG Lingxia, QU Bozhang

“…The final reflection coefficient model is obtained by applying regularization. Subsequently, wavelet decomposition and high-frequency wavelet replacement are conducted to expand the high-frequency spectrum while maintaining amplitude and fidelity, significantly improving seismic data resolution.Application ResultsThe test area spans 200 km², using an observation system with 24 lines, 7 sources, 270 receivers, and 180-fold coverage. …”
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History Matching of a Channelized Reservoir Using a Serial Denoising Autoencoder Integrated with ES-MDA by Sungil Kim, Baehyun Min, Seoyoon Kwon, Min-gon Chu

“…Improvement in the history matching performance resulting from denoising is also observed for ES-MDA algorithms combined with dimension reduction approaches such as discrete cosine transform, K-singular vector decomposition, and a stacked autoencoder. The results of this study imply that a well-trained SDAE has the potential to be a reliable auxiliary method for enhancing the performance of data assimilation algorithms if the computational cost required for machine learning is affordable.…”
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Influence of Clouds and Aerosols on Solar Irradiance and Application of Climate Indices in Its Monthly Forecast over China by Shuting Zhang, Xiaochun Wang

“…Both the traditional multiple linear regression method and the Long Short-Term Memory (LSTM) network are used to construct monthly forecast models, with the preceding time coefficient of the first EOF mode and different climate indices as input. …”
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Association of prior tuberculosis with cardiovascular status in perinatally HIV-1-infected adolescents by Mpiko Ntsekhe, Landon Myer, Ntobeko Ntusi, Heather Zar, Emma Carkeek, Katalin A Wilkinson, Robert J Wilkinson, Jennifer Jao, Itai M Magodoro, Carlos Eduardo Guerrero-Chalela, Nana Akua Asafu-Agyei, Nomawethu Jele, Lisa J Frigati

“…Ventriculoarterial coupling (VAC) was estimated as the ratio of arterial elastance (Ea) to ventricular end-systolic elastance (Ees). Regression models were applied to estimate cross-sectional associations between Ea/Ees ratio and TB status, with decomposition of these associations into direct and mediated effects of hsCRP, FPG and dyslipidaemia, if any, attempted.Results We enrolled 43 APHIV with prior TB and 23 without TB of mean (SD) age 15.0 (1.5) and 15.4 (1.7) years, respectively. …”
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PolSAR Forest Height Estimation Enhancement With Polarimetric Rotation Domain Features and Multivariate Sensitivity Analysis by Fu-Gen Jiang, Ming-Dian Li, Si-Wei Chen

“…Typical polarimetric features, such as amplitude features and polarimetric decomposition features, are susceptible to the influence of target scattering diversity, often leading to reduced interpretation performance. …”
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Using Graph-Enhanced Deep Reinforcement Learning for Distribution Network Fault Recovery by Yueran Liu, Peng Liao, Yang Wang

“…The restoration problem is modeled as a partially observable Markov decision process (POMDP), where each agent employs graph neural networks to extract topological features and enhance environmental perception. …”
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Charging Strategies for Electric Vehicles Using a Machine Learning Load Forecasting Approach for Residential Buildings in Canada by Ahmad Mohsenimanesh, Evgueniy Entchev

“…The charging strategies are based on predicted load utilizing a hybrid machine learning (ML) approach to reduce overall charging in peak periods. The hybrid ML method combines similar day selection, complete ensemble empirical mode decomposition with adaptive noise, and deep neural networks. …”
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Vascular-related biological stress, DNA methylation, allostatic load and domain-specific cognition: an integrated machine learning and causal inference approach by Reem Waziry, Olajide A Williams, Henning Tiemeier, Caleb Miles

“…Four-way decomposition modeling approach was used to calculate the natural direct and indirect effects in the relationship between vascular disease and major cognitive domains. …”
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Discovery of Novel CRK12 Inhibitors for the Treatment of Human African Trypanosomiasis: An Integrated Computational and Experimental Approach by Qin Li, Jiayi Luo, Chenggong Fu, Wenqingqing Kang, Lingling Wang, Henry Tong, Zhaorong Lun, Qianqian Zhang, Dehua Lai, Huanxiang Liu

“…Cell division cycle-2-related kinase 12 (CRK12), a pivotal protein involved in the cell cycle regulation of <i>T. brucei</i>, has emerged as a promising therapeutic target for HAT, yet effective CRK12 inhibitors remain lacking. <b>Methods:</b> An integrated strategy combining computational modeling, virtual screening, molecular dynamics (MD) simulations, and experimental validation was adopted to discover potential inhibitors against CRK12. …”
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Polydopamine Nanoparticle-Integrated Smart Bletilla striata Polysaccharide Hydrogel: Photothermal-Triggered CO2 Release for Diabetic Wound Microenvironment Modulation by Wang X, Ma Z, He Y, Sun Y, Peng Q, Zhao M, Huang X, Lei L, Gu H, Gou K, Zeng R

“…The improvement effect of CO2@PDA Hydrogel on the diabetes wound microenvironment was comprehensively evaluated by promoting L929 cell proliferation, inhibiting bacterial growth (Staphylococcus aureus and Escherichia coli), and treating diabetes wound infection in rat models.Results: Under 808 nm near-infrared laser irradiation, the embedded CO2@PDA NPs convert light into heat, triggering the decomposition of HCO3− and releasing a substantial amount of CO2 locally at the diabetic wound site. …”
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NPP-VIIRS Nighttime Lights Illustrate the Post-Earthquake Damage and Subsequent Economic Recovery in Hatay Province, Turkey by Feng Li, Shunbao Liao, Xingjian Fu, Tianxuan Liu

“…Subsequently, random noise and seasonal fluctuation were eliminated through data smoothing and seasonal decomposition techniques. Pre- and post-earthquake regression models were then utilised to establish a comprehensive framework for assessing economic recovery following the earthquake. …”
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Analytical Approach to UAV Cargo Delivery Processes Under Malicious Interference Conditions by Fazliddin Makhmudov, Andrey Privalov, Sergey Egorenkov, Andrey Pryadkin, Alpamis Kutlimuratov, Gamzatdin Bekbaev, Young Im Cho

“…The cargo delivery process is modeled as a stochastic network, followed by the determination of its equivalent function and the use of Heaviside decomposition to calculate the distribution function and the expected delivery time. …”
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Global–Local Feature Fusion of Swin Kansformer Novel Network for Complex Scene Classification in Remote Sensing Images by Shuangxian An, Leyi Zhang, Xia Li, Guozhuang Zhang, Peizhe Li, Ke Zhao, Hua Ma, Zhiyang Lian

“…Experimental validation on the AID and NWPU-RESISC45 datasets demonstrates that the proposed method achieves classification accuracies of 97.78% and 94.90%, respectively, outperforming state-of-the-art models such as ViT + LCA and ViT + PA by 0.89%, 1.06%, 0.27%, and 0.66%. …”
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Ultrasound-actuated ion homeostasis perturbator for oxidative damage-augmented Ca2+ interference therapy and combined immunotherapy by Mi Yang, Yaqin Hu, Xiuxiu Hao, Qiaoqi Chen, Yang Cao, Haitao Ran, Wei Zhang

“…Upon internalization into tumor cells, PCCa undergoes lysosomal acidification-induced CaCO3 decomposition, leading to instantaneous Ca2+ overload. …”
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