DESIGN AND ANALYSIS OF A HIGH-EFFICIENCY PERMANENT MAGNET SYNCHRONOUS MOTOR FOR ELECTRIC THREE-WHEELER APPLICATION by M. Balakarthikeyan, B. Mohana Segaran, M. M. Sugundan, M. Saravanan

“…This study presents the design and analysis of a Permanent Magnet Synchronous Motor (PMSM) for an electric vehicle drivetrain, focusing on a rear-axle mounted motor with a two-speed variation. The motor was developed and optimized using Finite Element Method (FEM) 2D simulations, integrating theoretical and analytical calculations. …”
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Collaborative Optimization of Shore Power and Berth Allocation Based on Economic, Environmental, and Operational Efficiency by Zhiqiang Zhang, Yuhua Zhu, Jian Zhu, Daozheng Huang, Chuanzhong Yin, Jinyang Li

“…This study develops a multi-objective optimization model for the coordinated allocation of shore power and berth scheduling, integrating economic benefits, environmental benefits, and operational efficiency. …”
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A novel mechanism and model of hydrogen isotope exchange in vacancy considering nuclear quantum effects by Qihang Liu, Fei Sun, Jipeng Zhu, Hai-Shan Zhou, Hongxiang Zong, Zhangcan Yang, Hong-Bo Zhou, Yasuhisa Oya, Yucheng Wu

“…Hydrogen isotope (HI) exchange has proven to be an effective method for T removal. However, the microscopic mechanisms, particularly the role of isotope effects, remain insufficiently understood. …”
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Fixation and Expansion Microscopy of Xenopus Egg Extract Spindles by Gabriel Guilloux, Maiko Kitaoka, Karel Mocaer, Claire Heichette, Laurence Duchesne, Rebecca Heald, Thierry Pecot, Romain Gibeaux

“…Our method retains the fluorescence of rhodamine tubulins added to the extracts and allows for both pre- and post-expansion immunofluorescence analysis.…”
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Evaluating Ice-Temperature Storage Efficacy on Volatile Compounds in Blue Honeysuckle (<i>Lonicera caerulea</i> L.) by Combining GC-IMS and GC-MS by Tianbo Li, Xiaoyu Jia, Jiangkuo Li, Peng Zhang, Dong Qin, Di Wu, Tong Chen, Junwei Huo

“…Moreover, TEM analysis further revealed that ice-temperature storage maintained normal cellular ultrastructure integrity, particularly in cell wall organization and organellar morphology. …”
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Enhanced melanoma and non-melanoma skin cancer classification using a hybrid LSTM-CNN model by Sara M. M. Abohashish, Hanan H. Amin, E. I. Elsedimy

“…This paper presents a novel approach for the automatic identification of cutaneous lesions by integrating convolutional neural networks (CNNs) with long short-term memory (LSTM) networks. …”
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Pilot Fatigue Coefficient Based on Biomathematical Fatigue Model by Jingqiang Li, Hongyu Zhu, Annan Liu

“…To bridge this gap, this study introduces a biomathematical fatigue model (BFM) that leverages system dynamics theory, integrating a dynamic feedback mechanism for fatigue information. …”
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Research on dynamic modeling and control strategy of motor driven operating mechanism for 126 kV high voltage vacuum circuit breaker by Yifei Wang, Jianyuan Xu, Wei Li, Jinming Liu

“…Abstract To mitigate the effects of motor load torque variations on the control performance of a 126 kV high voltage vacuum circuit breaker equipped with a motor driven operating mechanism, this paper presents the derivation of dynamic equations for the motor load torque. …”
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Refining landsat-based annual NDVImax estimation using shape model fitting and phenological metrics by Lihao Zhang, Miaogen Shen, Licong Liu, Xuehong Chen, Ruyin Cao, Qi Dong, Yang Chen, Jin Chen

“…However, in cloudy regions with summer-green vegetation, such as the Tibetan Plateau, the scarcity of cloud-free Landsat NDVI observations complicates NDVImax estimation, particularly due to interannual variations in phenology and NDVImax. This study proposed a shape model fitting method that integrates interannual phenological similarity to estimate Landsat NDVImax, using the Tibetan Plateau as an example. …”
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The Collaboration of Teaching at The Right Level Approach with Problem-Based Learning Model by Mustafa Sriyanti, Riana Rika, Baharullah Baharullah, Maming Khadijah

“…However, variations in learning outcomes were still evident, indicating the need for further adjustments in the approach to reduce performance disparities between students. …”
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Forecasting Significant Wave Height Intervals Along China’s Coast Based on Hybrid Modal Decomposition and CNN-BiLSTM by Kairong Xie, Tong Zhang

“…The fluctuation of Hs is a non-stationary process influenced by seasonal variations in marine climate conditions, which poses significant challenges for accurate predictions. …”
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Chemometric analysis of ethoxylated polymer products using extracted MALDI-TOF-MS peak distribution features. by Elizabeth Dickinson, Richard N Cawthorne, Peter Dodds, Graham M Atkinson, Pablo F García Thomas, Lucy Jones, Molly Crosbie, Janet Cook, Julie Wilson

“…Crucially, we weight the extracted features, so that features from a distribution with a high ratio to the main distribution are given more importance ('ratio-scaled'). We exemplify the method by characterizing the structural variation between types of compositionally diverse Polysorbate 80, PEG castor oil and Oleth-20, and compare the chemometric analysis using our extracted features with analysis of the full spectra. …”
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Keystone perforator island flap: a clinical summary of 28 melanoma cases by Felix Behan

“…**Background**: The keystone perforator island flap (KPIF) and its design variations developed as a clinical necessity for reconstructing large surgical defects. …”
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Study on the effect of humidity on coal mine dust concentration monitoring and its compensation strategy by ZHANG Anran

“…A humidity compensation experimental model was developed and integrated into a light-scattering dust concentration monitoring unit with multiple angles. …”
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GENETIC ALGORITHM-PID CONTROLLER FOR MODEL ORDER REDUCTION PANTOGRAPHCATENARY SYSTEM by Nasir A. Al-Awad, Izz K. Abboud, Muaayed F. Al-Rawi

“…Then, the usage of Genetic Algorithm with Proportional-Integral-derivative (G.A-PID) as proposed controller appeared optimum response where, the contacts force consequences to be virtually equal to its steady reference. …”
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Introducing multiple factor analysis (MFA) as a diagnostic taxonomic tool complementing principal component analysis (PCA) by L. Lee Grismer

“…If more than one data type is used in a PCA, the output may be biased by the data type with the largest amount of variation or statistical variance. Also discussed is the necessity of using a non-parametric permutation of analysis of variance (PERMANOVA)—or a similar analysis—as a robust, statistically defensible method for assessing the significance of OTU plot positions as opposed to subjective visual interpretations.…”
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Leveraging Topic Features in Prediction of Social Network Community Evolutions by Rahman Nahi Abid, Hassan Naderi

“…In this study, we developed the Identification of Community Evolution by Mapping &#x201C;ICEM&#x201D; method by integrating topic modeling with network structure analysis to track community evolution. …”
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Spatiotemporal Fusion of Multi-Temporal MODIS and Landsat-8/9 Imagery for Enhanced Daily 30 m NDVI Reconstruction: A Case Study of the Shiyang River Basin Cropland (2022) by Peiwen Mu, Fei Tian

“…This study introduces an NDVI reconstruction method combining Savitzky–Golay filtering with the variation-based spatiotemporal data fusion model to produce a high-resolution daily NDVI dataset for SRB cropland in 2022, with a 30 m spatial resolution. …”
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Adaptive Modulation Tracking for High-Precision Time-Delay Estimation in Multipath HF Channels by Qiwei Ji, Huabing Wu

“…Simulation results based on the Watterson channel model demonstrate that MATE achieves an average time-delay estimation error of approximately 0.01 ms with a standard deviation of approximately 0.01 ms, representing a 94.12% reduction in mean error and a 96.43% reduction in standard deviation compared to the traditional Generalized Cross-Correlation (GCC) method. Validation with actual measurement data further confirms the robustness of MATE against channel variations. …”
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APM-SLAM: Visual localization for fixed routes with tightly coupled a priori map by Linsong Xue, Qi Luo, Kai Zhang

“…The localization process integrates coarse-to-fine matching with Maximum A Posteriori (MAP) Probability estimation to refine pose accuracy. …”
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