Interleaved Landsman Converter with Class Topper Optimized PI Control in Sensorless BLDC Motor Drive for Electric Vehicle by Suresh V., Jahnavi V.G., Manjula D., Lokesh M.

“…The main objectives of the study are todevelop a brushless direct current (BLDC) motor drive system with enhanced efficiency, reliability, and cost-effectiveness for electric vehicle (EV) applications. …”
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Spatial and Temporal Characteristics of Rurality in Urban Suburb Town and Its Driving Factors Based on Land Use Transformation by Zhiheng Yang, Chenxi Li

“…Taking 25 towns in Lixia County and Shanghe County in Jinan city as the study area and using land use data and economic statistics data, the rurality evaluation system based on the land use transformation was constructed, the changes of the rurality index and intensity from 2009 to 2015 were calculated, and the driving factors of the rurality were analyzed. The results showed that, from 2009 to 2015, the rurality difference among towns in Lixia County decreased, the rurality difference among towns in Shanghe County increased, the rurality intensity of Lixia County was lower than that of Shanghe County, and the rurality index gap between the two counties was increasing. …”
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DITC control strategy for semi-direct drive system with switched reluctance motor in coal mine belt conveyor by LIU Peng, ZHANG Lei, BAO Jiusheng, CHEN Huaxin, WEI Chunji, MA Chuanming, WANG Lei, WANG Xiaolong

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Research on Spatiotemporal Evolution and Driving Factors of Extreme Climate in Guangdong-Hong Kong-Macao Greater Bay Area by GUO Shan, ZHANG Dawei, WANG Yadi

“…In recent years,frequent extreme climate events have become the focus of attention of the world.Studying the spatiotemporal evolution of extreme climate in the Guangdong-Hong Kong-Macao Greater Bay Area is of great significance for timely and accurate disaster prevention and mitigation forecasts and early warnings.On the basis of the precipitation and temperature data from 1961 to 2016,this paper uses the heuristic segmentation method,Mann-Kendall trend test,and cross wavelet method to analyze the spatiotemporal evolution of extreme climate in the Guangdong-Hong Kong-Macao Greater Bay Area and its relationship with driving factors.The results reveal that extreme precipitation and temperature changes are potentially related to sunspots and large-scale circulation factors including the multivariate ENSO index (MEI) and interdecadal Pacific oscillation (IPO),but their effects on extreme climate are different.Climate change will continue to profoundly affect urban construction and development.For future studies on the climate change in the Guangdong-Hong Kong-Macao Greater Bay Area,attention should be paid to the impact assessment of climate change in the Pearl River Basin and typical regions,and the research on the occurrence mechanism,risk assessment,countermeasures of extreme weather in the basin should be strengthened to reduce the damage of extreme climate events.…”
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Analysis of application of heat loss recovery system using organic Rankine сycle for drive of process equipment by A. M. Kalashnikov, A. A. Kapelyukhovskaya, I. D. Obukhov

“…From these results, we can draw the following conclusions: the increase in the temperature of the heated surface leads to the increase of the heating zone of the refrigerant with high capacity and, hence, to increase heat capacity; increasing the refrigerant flow rate, the lower the temperature of the refrigerant at the exit, but increases the thermal capacity; increasing the pressure of the heated refrigerant increases the thermal; this design of the heat exchanger allows you to achieve the necessary power for the operation of the drive by: changing the flow rate of the refrigerant, the excess pressure of the refrigerant, the number of elbows, as well as by installing a heat-reflecting casing…”
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Climate and soil factors drive the functional and phylogenetic assembly of Qinghai-Tibetan grassland communities via multiple paths by Xiaomei Kang, Yanjun Liu, Xinyang Wu, Lijie Duan, Jiachang Jiang, Aoran Zhang, Wei Qi

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Energy Loss Analysis of Dual Power Supply-Powered Motor Drive During Supercapacitor Energy Storage Discharge by Ģirts Staņa, Kaspars Kroičs

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Do Local and World COVID-19 Media Coverage Drive Stock Markets? Time-Frequency Analysis of BRICS by Ahmed Bossman, Tamara Teplova, Zaghum Umar

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Ecosystem Health Assessment and Driving Factor Analysis of Panjin Reach of Liaohe River Basin Based on PSR Model by YANG Heqing, HU Huiqin, ZHANG Qinxu, QIN Mengen, ZHANG Mingliang, HOU Jun

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NSUN2 lactylation drives cancer cell resistance to ferroptosis through enhancing GCLC-dependent glutathione synthesis by Kaifeng Niu, Zixiang Chen, Mengge Li, Guannan Ma, Yuchun Deng, Ji Zhang, Di Wei, Jiaqi Wang, Yongliang Zhao

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Integrating malaria vaccine and CRISPR/Cas9 gene drive: a comprehensive strategy for accelerated malaria eradication by Israel Charles Abraham, John Ehi Aboje, Bonaventure Michael Ukoaka, Kehinde Tom-Ayegunle, Maryam Amjad, Anas Abdulkader, Chinonyelum Emmanuel Agbo, Oluwatosin Ayokunle Akinruli, Taiwo Rebecca Akisanmi, Emmanuel Oyedeji Oyetola, Gbolahan Olatunji, Emmanuel Kokori, Nicholas Aderinto

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Sub-District Level Spatiotemporal Changes of Carbon Storage and Driving Factor Analysis: A Case Study in Beijing by Yirui Zhang, Shouhang Du, Linye Zhu, Tianzhuo Guo, Xuesong Zhao, Junting Guo

“…This framework allows for a systematic analysis of land use and carbon storage spatiotemporal evolution in Beijing from 2000 to 2020, including the influence of driving factors on carbon storage. Moreover, it enables the simulation and prediction of land use and carbon storage changes in Beijing from 2025 to 2040 under various scenarios. …”
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Mechanisms driving different QPD cells response signals revealed by a single cell irradiated with a laser by Weiwei Chen, Hongxu Liu, De Song

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A Driver Behavior Detection Model for Human-Machine Co-Driving Systems Based on an Improved Swin Transformer by Junhua Cui, Yunxing Chen, Zhao Wu, Huawei Wu, Wanghao Wu

“…Human-machine co-driving is an important stage in the development of automatic driving, and accurate recognition of driver behavior is the basis for realizing human-machine co-driving. …”
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Adapted Irrigation Pump Load in Solar PV and Wind Energy Systems through Stepped Variable Frequency Drives by Samson Soshyo, Sameer Kamrudin Bachani, Michael Juma Saulo, Lawrence Manyonge Mukhongo

Subjects: “…Renewable Energy, Wind, Solar PV, Irrigation Pump, Variable Frequency Drive.…”
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Challenges in developing a split drive targeting dsx for the genetic control of the invasive malaria vector Anopheles stephensi by Mireia Larrosa-Godall, Joshua X. D. Ang, Philip T. Leftwich, Estela Gonzalez, Lewis Shackleford, Katherine Nevard, Rob Noad, Michelle A. E. Anderson, Luke Alphey

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A Novel Method for Identifying Resonance Frequency Band in Weak Bearing Fault Diagnosis of Electric Driving System by Cong Yue, Yu Zhu, Ping Cheng, Bei Wang, Kai Wang

“…Because of the uncertainty of the structure and environment of the electric driving system (EDS), the fault signature of the rotating mechanism is complicated. …”
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Spatio-temporal evolution and driving forces of urban gravity centers and ecological security risk gravity centers in China by Peng Chen, Jiaojiao Duan, Yihan Wang

“…Additionally, we analyze the driving factors behind these phenomena, offering insights to inform the coordinated development of urban construction and the ecological environment. …”
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A Study on the Spatiotemporal Heterogeneity and Driving Forces of Ecological Resilience in the Economic Belt on the Northern Slope of the Tianshan Mountains by Keqi Li, Qingwu Yan, Zihao Wu, Guie Li, Minghao Yi, Xiaosong Ma

“…Finally, the geographical detector model was utilized to identify the driving factors behind the spatial heterogeneity of ecological resilience. …”
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Trajectory Tracking for 3-Wheeled Independent Drive and Steering Mobile Robot Based on Dynamic Model Predictive Control by Chaobin Xu, Xingyu Zhou, Rupeng Chen, Bazhou Li, Wenhao He, Yang Li, Fangping Ye

“…Compared to four-wheel independent drive and steering (4WID4WIS) mobile robots, three-wheel independent drive and steering (3WID3WIS) mobile robots are more cost-effective due to their lower cost, lighter weight, and better handling performance, even though their acceleration performance is reduced. …”
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