Analysis of transient temperature field of five-phase induction motor with composite winding under different operating conditions by Yunyan Xia, Baiquan Ren, Bo Jing, Zhicheng Chen

“…The research results lay a theoretical foundation for the optimal design of multiphase motors and for further fault-tolerant control.…”
Get full text

Mediating role of socio-religious behavior on consumption pattern changes of middle-class Muslims: An analysis using SEM by Syaparuddin Razak, Irwan Abdullah, Jumriani Raking, Andi Nuzul

“…In other words, the model proposed to form a fundamental change in consumption patterns of the middle-class Muslims does not work optimally. …”
Get full text

Noncoherent Low-Frequency Ultrasonic Communication System with Optimum Symbol Length by Kwang Myung Jeon, Hong Kook Kim, Myung J. Lee

“…Then, in order to optimize the symbol length of the proposed LFU communication system under a realistic aerial acoustic channel, a propagation model of the LFU communication channel is proposed by incorporating aerial acoustic attenuation. …”
Get full text

Construction of Carbon Functional Zone in the Demonstration Zone of Green and Integrated Ecological Development of the Yangtze River Delta Based on Carbon Density Correction by Tian ZHANG, Zhen SHEN, Tingting SU, Daixin DAI

“…The growth of carbon sink enhancement zones is largely attributed to ecological restoration policies, such as the conversion of farmland to lakes and forests, underscoring the critical role of policy interventions in enhancing carbon sequestration capacity.ConclusionBased on these findings, the research proposes a spatially differentiated low-carbon governance framework for the Demonstration Zone, and emphasize three pillars. 1) Zonal Regulation: Implement strict protection measures in carbon sink enhancement zones, optimize land use efficiency in balance zones, and enforce emission reduction targets in control zones. 2) Ecological restoration priorities: Scale up reforestation, wetland conservation, and “sponge city” initiatives to amplify carbon sequestration. 3) Cross-regional collaboration: Establish a unified governance platform to harmonize policies, data sharing, and carbon trading mechanisms across administrative boundaries. …”
Get full text

Roxadustat attenuates brain injury in mice with heat stroke by regulating mitochondrial fission and fusion by 10.16016/j.2097-0927.202405009, HUANG Xueyan, SHEN Tingting

“…The 24-hour survival rate was observed to determine the optimal dosage of roxadustat after modeling. Additionally, the remaining 100 mice were randomly allocated to normal control (Control) group, roxadustat (FG-4592) group, HS group, and roxadustat+HS (FG-4592+HS) group, with 25 mice in each. …”
Get full text

Biocatalytic reductive amination with CRISPR-Cas9 engineered yeast by Arne Hagman, Olof Stenström, Göran Carlström, Mikael Akke, Carl Grey, Magnus Carlquist

“…Under optimal conditions, the biocatalytic bioconversion of benzylacetone to MPPA reached a yield of 58%.…”
Get full text

Temporal representation learning enhanced dynamic adversarial graph convolutional network for traffic flow prediction by Linlong Chen, Linbiao Chen, Hongyan Wang, Jian Zhao

“…Abstract Accurate traffic flow prediction serves as the foundation for urban traffic guidance and control, playing a crucial role in intelligent transportation management and regulation. …”
Get full text

Event-Driven Maximum Correntropy Filter Based on Cauchy Kernel for Spatial Orientation Using Gyros/Star Sensor Integration by Kai Cui, Zhaohui Liu, Junfeng Han, Yuke Ma, Peng Liu, Bingbing Gao

“…In this method, a direct installation mode of gyros/star sensor integration is established and the associated mathematical model is derived to improve the turntable’s control stability. …”
Get full text

High-Precision Compensation Method for Image Plane Deformation in the Doubly Telecentric Projection Optical System by Yuwei Xu, Hongbo Wu, Guangwei Shi, Haokun Ye, Jipeng Zhang, Yuqi Huang

“…Compared to traditional simulation methods, the proposed approach offers a more predictable and precise compensation framework. The optimized design of the dual-prism compensation device has been validated through simulations, demonstrating the ability to control image plane deformation within 3.011 µm, which is smaller than the system’s depth of focus. …”
Get full text

Numerical Dynamic Response Analysis of a Ship Engine Room Explosion Simulation Using OpenFOAM by Zeya Miao, Yuechao Zhao, Baoyang Ye, Wanzhou Chen

“…This study examines safety risks from alternative fuel explosions in ship engine rooms, using the Trinitrotoluene (TNT)-equivalent method. A finite element model of a double-layer cabin explosion is developed, and simulations using blastFOAM in OpenFOAM v9 analyze shock wave propagation and stress distribution. …”
Get full text

Elucidating the Role of Graphene Oxide Surface Architecture and Properties in Loess Soil Remediation Efficacy by Zirui Wang, Haotian Lu, Zhigang Li, Yuwei Wu, Junping Ren

“…Herein, graphene oxide (GO) with a unique two-dimensional structure and adjustable surface properties was optimized as a model carbon filler to investigate the modification effect on loess. …”
Get full text

Bytecode-based approach for Ethereum smart contract classification by Dan LIN, Kaixin LIN, Jiajing WU, Zibin ZHENG

“…In recent years, blockchain technology has been widely used and concerned in many fields, including finance, medical care and government affairs.However, due to the immutability of smart contracts and the particularity of the operating environment, various security issues occur frequently.On the one hand, the code security problems of contract developers when writing contracts, on the other hand, there are many high-risk smart contracts in Ethereum, and ordinary users are easily attracted by the high returns provided by high-risk contracts, but they have no way to know the risks of the contracts.However, the research on smart contract security mainly focuses on code security, and there is relatively little research on the identification of contract functions.If the smart contract function can be accurately classified, it will help people better understand the behavior of smart contracts, while ensuring the ecological security of smart contracts and reducing or recovering user losses.Existing smart contract classification methods often rely on the analysis of the source code of smart contracts, but contracts released on Ethereum only mandate the deployment of bytecode, and only a very small number of contracts publish their source code.Therefore, an Ethereum smart contract classification method based on bytecode was proposed.Collect the Ethereum smart contract bytecode and the corresponding category label, and then extract the opcode frequency characteristics and control flow graph characteristics.The characteristic importance is analyzed experimentally to obtain the appropriate graph vector dimension and optimal classification model, and finally the multi-classification task of smart contract in five categories of exchange, finance, gambling, game and high risk is experimentally verified, and the F1 score of the XGBoost classifier reaches 0.913 8.Experimental results show that the algorithm can better complete the classification task of Ethereum smart contracts, and can be applied to the prediction of smart contract categories in reality.…”
Get full text

Study on incentive mechanism of reward and punishment on work efficiency of PCB welder based on recurrence quantification analysis and electroencephalogram signals by Zhang Qian, Mingyue Guo, Fuwang Wang

“…To address this issue, this study innovatively combines recurrence quantification analysis (RQA) with electroencephalogram (EEG) signals, proposing a dynamic incentive evaluation model based on the analysis of brain chaos characteristics. …”
Get full text

The impact of the nucleosome code on protein-coding sequence evolution in yeast. by Tobias Warnecke, Nizar N Batada, Laurence D Hurst

“…The results support the exclusion model for nucleosome positioning and provide an alternative interpretation for runs of rare codons. …”
Get full text

An AIoT-Based Automated Farming Irrigation System for Farmers in Limpopo Province by Relebogile Langa, Michael Nthabiseng Moeti, Thabiso Maubane

“…In acquiring these, the ARIMA model was applied alongside DSRM for implementing the mobile application. …”
Get full text

Reduction of Vibrations in Long-Span Continuous Girder Bridges with Pounding Tuned Mass Dampers by Juncheng Yao, Hekuan Zhou, Jiahua Zhu, Liang Huang, Jianguo Xu, Weiguo Li

“…The LS-DYNA software is used for numerical modeling to optimize the parameters of the PTMD and to determine the size and installation position of the PTMD. …”
Get full text

Electrostatic properties of human germlines and biodistribution of small biologics by Leticia Maria De Souza Cordeiro, Kelley Christine Atkinson, Argin Aivazian, Patrick Frank Joyce, Fang Jia, Alessandro Mascioni

“…Our work emphasizes the importance of carefully selecting germlines for humanization with optimal electrostatic properties in order to control the unspecific tissue uptake of low molecular weight biologics.…”
Get full text

Hybrid Network-on-Chip: An Application-Aware Framework for Big Data by Juan Fang, Sitong Liu, Shijian Liu, Yanjin Cheng, Lu Yu

“…In this paper, we propose a hybrid NoC framework, combining buffered and bufferless NoCs, to make the NoC framework aware of applications’ performance demands. An optimized congestion control scheme is also devised to satisfy the requirement in energy efficiency and the fairness of big data applications. …”
Get full text

Tech-Enhanced Vocabulary Acquisition: Exploring the Use of Student-Created Video Learning Materials in the Tertiary-Level EFL (English as a Foreign Language) Flipped Classroom by Jelena Bobkina, Svetlana Baluyan, Elena Dominguez Romero

“…By leveraging the flipped classroom model, which allocates classroom time for interactive activities and shifts instructional content delivery outside of class, the research investigates how student-produced videos can enhance vocabulary acquisition and retention. …”
Get full text

E-agriculture of hydroponic farming with nutrient film technique (NFT) using internet of thing by Suheri Agus, Widaningsih Sri, Awalia Uniq Fadilah

“…The research employs a prototype model, utilizing UML for system design. The backend is developed using PHP with the Laravel framework, while MySQL is used for database management. …”
Get full text