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  1. 22181

    Towards AI-Based Traffic Counting System with Edge Computing by Duc-Liem Dinh, Hong-Nam Nguyen, Huy-Tan Thai, Kim-Hung Le

    Published 2021-01-01
    “…Using this detection, we presented a lightweight counting method seamlessly combining with a traditional tracking method to increase counting accuracy. Finally, the traffic flow information is obtained based on counted vehicle categories and their directions. …”
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  2. 22182

    Peroxiredoxin 6 Attenuates Alloxan-Induced Type 1 Diabetes Mellitus in Mice and Cytokine-Induced Cytotoxicity in RIN-m5F Beta Cells by Elena G. Novoselova, Olga V. Glushkova, Sergey M. Lunin, Maxim O. Khrenov, Svetlana B. Parfenyuk, Tatyana V. Novoselova, Mars G. Sharapov, Vladimir I. Novoselov, Evgeny E. Fesenko

    Published 2020-01-01
    “…Signal transduction studies showed that PRDX6 prevented the activation of NF-κB and c-Jun N-terminal kinase signaling cascades in RIN-m5F β cells cultured with cytokines. …”
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  3. 22183

    Uma Avaliação da escala de etnocentrismo do consumidor (CETSCALE): indícios do Brasil by Vivian Iara Strehlau, Mateus Canniatti Ponchio, Eduardo Loebel

    Published 2012-01-01
    “…Entre as classes mais baixas, as pessoas mais velhas receberam as pontuações mais altas de etnocentrismo. As observações finais são apresentadas, com algumas implicações e recomendações para pesquisas futuras.…”
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  4. 22184

    Error Sensing Strategy for Active Control of Low-Frequency Sound Absorption of Micro-Perforated Panel Absorber by Using a Point Force Controlled Thin Plate by Xiyue Ma, Kean Chen, Lei Wang, Yang Liu

    Published 2021-01-01
    “…Then, the active control performance and surface impedance characteristics in the controlled condition are analyzed in detail. Finally, the error sensing strategy of the active MPPA is constructed by measuring the surface average impedance ratio with an acoustic vector sensor (AVS). …”
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  5. 22185

    Performance Analysis of Microwave Photonic Spectral Filters based on Optical Microcombs by Yang Li, Yang Sun, Jiayang Wu, Guanghui Ren, Xingyuan Xu, Bill Corcoran, Sai Tak Chu, Brent E. Little, Roberto Morandotti, Arnan Mitchell, David J. Moss

    Published 2025-01-01
    “…Next, the distortions are analyzed in the filter spectral response resulting from experimental error sources. Finally, the influence of input signal's bandwidth on the filtering errors is assessed. …”
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  6. 22186

    Highly Responsive Robotic Prosthetic Hand Control Considering Electrodynamic Delay by Jiwoong Won, Masami Iwase

    Published 2024-12-01
    “…To resolve issues related to model complexity and reduced accuracy due to the increased number of EMG channels, we introduced ridge regression, improving the system identification accuracy. Finally, we applied the ZPETC+PID controller to an actual servo motor and verified its performance. …”
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  7. 22187

    Bottom-Up Abstract Modelling of Optical Networks-on-Chip: From Physical to Architectural Layer by Alberto Parini, Luca Ramini, Fabio Lanzoni, Gaetano Bellanca, Davide Bertozzi

    Published 2012-01-01
    “…The consistency of the outlined approach is verified, in the first instance, by performing a SystemC analysis of a four-input, four-output ports switch and making a comparison with the results of 2D-FDTD simulations of the same device. Finally, a further complex network encompassing 160 microrings is investigated, the losses over each routing path are calculated, and the minimum amount of power needed to guarantee an assigned BER is determined. …”
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  8. 22188

    Phenomenological Modelling and Fault Diagnosis of Planetary Gear Systems with a Tooth Crack by Liu Zongyao, Mao Shixiang, Wang Yadong, Zhu Wenliang, Liu Baoguo, Liu Shihua

    Published 2024-07-01
    “…Secondly, phenomenological modelling of vibration signals considering the meshing impact is established, and model responses of planetary gear systems under different health conditions including normal, cracked sun gears and cracked planet gears are obtained. Finally, the model responses are analyzed using the statistical indexes such as root mean square and kurtosis, etc., and the sensitivity of each statistical index in reflecting the crack fault is compared. …”
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  9. 22189

    Galloping Stability and Aerodynamic Characteristic of Iced Transmission Line Based on 3-DOF by Xiaohui Liu, Ming Zou, Chuan Wu, Bo Yan, Mengqi Cai

    Published 2020-01-01
    “…Based on the quasistatic theory, the aerodynamic load of iced transmission line is obtained, which considers the influence of transverse and torsional motion on the relative wind angle of attack. Finally, the equivalent galloping model of 3-DOF iced transmission line is established. …”
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  10. 22190

    Study of Wind Loads and Wind Speed Amplifications on High-Rise Building with Opening by Numerical Simulation and Wind Tunnel Test by Fu-Bin Chen, Xiao-Lu Wang, Yun Zhao, Yuan-Bo Li, Qiu-Sheng Li, Ping Xiang, Yi Li

    Published 2020-01-01
    “…Finally, the wind speed amplifications in the openings were studied and verified by the numerical simulation results.…”
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  11. 22191

    Method for improving voltage sag tolerance of dual power supply PET based on inter-port power coordination by ZHANG Tengfei, WANG Guanghua, GAO Long, LI Jing, XU Yonghai, WANG Chong

    Published 2025-01-01
    “…Then, from the perspective of power balance, a real-time analysis method of voltage sag immunity of DPSC-PET as well as power coordination method between dual input ports when voltage sag occurs on different power supply are proposed to achieve a perfect recovery of low-voltage DC bus voltage, which means the significant improvement of DPSC-PET to cope with transient disturbances. Finally, the simulation model of DPSC-PET is established and the simulations for voltage sag occurred with different magnitudes on different power supply are cited out. …”
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  12. 22192

    Robust analysis of photovoltaic plants: A framework based on prediction uncertainties by machine learning by Seyyed Shahabaddin Hosseini Dehshiri, Bahar Firoozabadi

    Published 2025-04-01
    “…Subsequently, a ten Megawatts photovoltaic plant was assumed in each region, and a comprehensive feasibility assessment was conducted, encompassing energy, economic, environmental, exergy, exergoeconomic, enviroeconomic, and energoeconomic aspects. Finally, the uncertainties were simulated using the Monte Carlo method. …”
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  13. 22193

    Collector and philatelic press in the RSFSR/USSR during the first half of the 1920s: From pluralism to monopolism by A.V. Yakub, N.V. Yakub

    Published 2020-12-01
    “…By the end of 1922–first half of 1923, the dialog between them finally turned into a monologue of one edition promoting the positions of the state. …”
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  14. 22194

    دور تحلیلات البیانات الضخمة فى انترنت الأشیاء : دراسة تحلیلیة مقارنة by د. یارة ماهر قناوى

    Published 2020-04-01
    “…The study Aimed to Identify in a Relation Ship big data analytics in IOTapplications benefits big data in internet of things , and Show the most popularplatforms to big data and IOT such as : Kaa , Hadoop , MAPR , and study therequirements of big data analytics in IOT finally show challenges facing big datain IOT the study was approved on the comparative method and reached severalresults the most important of them , the main problems that you face big data inIOT security and privacy 97%The most important results of the study : Big data and the Internet of things are complementary to each other, andthis integration is achieved through data analysis platforms. One of the most common security problems in IoT applications with bigdata is data center security, access control, redundant data filtering. One of the standards of open source Internet of Things platforms isstandards of integration, security and confidentiality, protocols,visualization support, databases. One of the most used big data analytics platforms is Hadoop, with apercentage of 90%, followed by Map R with 72.3%. …”
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  15. 22195

    Development and external validation of a nomogram for the early prediction of acute kidney injury in septic patients: a multicenter retrospective clinical study by Qin-Yue Su, Wen-Jie Chen, Yan-Jun Zheng, Wen Shi, Fang-Chen Gong, Shun-Wei Huang, Zhi-tao Yang, Hong-Ping Qu, En-Qiang Mao, Rui-Lan Wang, Du-Ming Zhu, Gang Zhao, Wei Chen, Sheng Wang, Qian Wang, Chang-Qing Zhu, Gao Yuan, Er-Zhen Chen, Ying Chen

    Published 2024-12-01
    “…The model included five independent indicators: chronic kidney disease stages 1 to 3, blood urea nitrogen, procalcitonin, D-dimer and creatine kinase isoenzyme. The AUC of the model in the development and validation cohorts was 0.914 (95% CI, 0.894–0.934) and 0.923 (95% CI, 0.895–0.952), respectively. …”
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  16. 22196

    Microscopic stress-constrained two-scale topology optimisation for additive manufacturing by Xiaopeng Zhang, Zheng Ni, Akihiro Takezawa, Yaguang Wang, Zhan Kang

    Published 2025-12-01
    “…Numerical examples illustrate the effect of the stress constraints by comparing the optimisation results with and without microscopic stress constraints. Finally, specimens optimised using the proposed method are realised through additive manufacturing, and the results are further validated by testing stress distribution using a non-contact full-field strain measurement system.…”
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  17. 22197

    Optimal Locating of prisons from the perspective of Passive Defense principles and criteria (Case Study: City of Dogonbadan) by Mostafa Mirabadi, Hosein Nazari, Sadegh Besharatifar

    Published 2023-12-01
    “…The results of locating operations were to identify different zones in the city of Doganbadan Finally, considering the distance dimension and access status of the zones, four optimal zones were introduced. …”
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  18. 22198

    Multicriteria Decision Making Based on Archimedean Bonferroni Mean Operators of Hesitant Fermatean 2-Tuple Linguistic Terms by Huijuan Wang, Xin Wang, Lidong Wang

    Published 2019-01-01
    “…Moreover, some fundamental properties and special cases are examined by adjusting parameter values. Finally, an approach is designed as a support for handling decision making problems, and an example regarding investment selection is provided to demonstrate the practicality of the designed method with a detailed discussion of parameter influence and comparisons with the existing methods.…”
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  19. 22199

    mmWave radar based robust sign language recognition for the smart museum by Xuerong ZHAO, Xuan WANG, Tong LIU, Xia ZHENG, Yicheng JIANG

    Published 2023-08-01
    “…A smart museum is a new form of a museum, which uses devices or technologies including the Internet of things (IoT) and artificial intelligence (AI) to build the information interaction channels between people, things, and space.Sign language recognition not only assists the visitors who have hearing or speech impairment to visit the museum without barriers but also helps study the visitors’ natural gesture interaction.However, the methods based on cameras and wearable devices mayhave issues like privacy or usability when applied to museum spaces.Therefore, a robust sign language recognition method based on millimeter-wave radar was proposed.Different features of distance and velocity changes relative to the radar device were firstly extracted in this method, then a physical data enhancement method was adopted to expand the training data.Finally, a ResNet based on the pre-processed distance time features and Doppler time features was designed to further remove the environment-related information and perform feature fusion for classification.Experimental results show that this method can effectively recognize sign language and achieve an averaged recognition accuracy of over 90% when the testing environment and the user's location change, providing a new method for smart museum wireless sign language and gesture recognition.…”
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  20. 22200

    Variational Autoencoder-Based Framework for Retail Sales Prediction by Fuyu Li, Lei Wang, Bo Jin

    Published 2024-01-01
    “…This approach enhances the extraction of useful features from the original data. Finally, to mitigate abnormal prediction outcomes, we incorporate prior knowledge to adjust predictions that may be affected by the model’s limited fitting capacity or insufficient training data in certain cases. …”
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