Economic burden of breast cancer in India, 2000–2021 and forecast to 2030 by Rakesh N Pillai, Aleena Alex, Narassima M.S., Vivek Verma, Ajil Shaji, Keechilat Pavithran, D. K. Vijaykumar, Denny John

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Thrombus composition and distribution patterns by thrombus volume in acute ischemic stroke by Jaeseob Yun, Jae Wook Jung, Kwang Hyun Kim, Hyo Suk Nam, Hyo Suk Nam, JoonNyung Heo, Hyungwoo Lee, Byung Moon Kim, Dong Joon Kim, Minyoul Baik, Joonsang Yoo, Jinkwon Kim, Hyungjong Park, Sung-Il Sohn, Jeong-Ho Hong, Tae-Jin Song, Yoonkyung Chang, Jung Hwa Seo, Gyu Sik Kim, Kwon-Duk Seo, Seong Hwan Ahn, Jang-Hyun Baek, Han-Jin Cho, Jin Kyo Choi, Yo Han Jung, Bang-Hoon Cho, Il Kwon, Ji Hoe Heo, Young Dae Kim, Young Dae Kim

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Predicting steady degradation in ship power system: A deep learning approach based on comprehensive monitoring parameters by Xingshan Chang, Xiaojian Xu, Bohua Qiu, Muheng Wei, Xinping Yan, Jie Liu

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Prediction of SNR Based on SVR and Adaptive Transmission Power Method for Underwater Acoustic Communication by Jixing ZHENG, Yufan YUAN, Xiaoxiao ZHUO, Xuesong LU, Fengzhong QU, Yan WEI

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Increasing the sensor channels: a solution for the pressing offsets that cause the physiological parameter inaccuracy in radial artery pulse signal acquisition by Chao Chen, Zhendong Chen, Hongmiin Luo, Bo Peng, Bo Peng, Yinan Hao, Xiaohua Xie, Haiqing Xie, Xinxin Li

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Design of Ultrasonic Methane Concentration Detection System by HOU Guangping, DING Xibo, WANG Ruyue, HE Xin

“…For the problem of ultrasonic methane gas detection accuracy, a research on ultrasonic methane concentration detection system is proposed, established a mathematical model of sound velocity and gas concentration Based on the ultrasonic direct measurement time difference method, the ultrahigh precision time digital conversion chip TDCGP21 is used to complete the precise measurement of time The design of ultrasonic methane concentration system was completed, and the main influencing factors of measurement accuracy were analyzed Time measurement and solution were proposed The system was tested and verified by methane gas The experimental results show that the relative error of the detection method is less than 2% It has the advantages of high precision, convenient measurement and low cost, and has a good application prospect…”
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A Radar Wind Analysis System for Nowcast Applications by Qin Xu, Li Wei, Kang Nai, Shun Liu, Robert M. Rabin, Qingyun Zhao

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An Automotive Body-in-White Welding Stud Flexible and Efficient Recognition System by Hong Huang, Xiangqian Peng, Shiyu Wu, Wenchu Ou, Xiaoping Hu, Lifeng Chen

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An Adaptive Constant Acceleration Model for Maneuvering Target Tracking by Jieyu Huang, Junwei Xie, Haolong Zhai, Zhengjie Li, Weike Feng

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Consumer Happiness in the Purchase of Electric Vehicles: a Fuzzy Logic Model by Fernando Lámbarry-Vilchis, Aboud Barsekh Onji, Leticia Refugio Chavarría López, Paola Judith Maldonado Colín

“…The FIS tree model demonstrated superior efficacy in predicting the consumer satisfaction index, achieving an average forecast error of 0.65%. This approach could assist automobile agency marketers in creating accurate predictions to evaluate the purchasing decision-making process.…”
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Maximum torque per ampere control of permanent magnet reluctance hybrid rotor dual stator synchronous motor based on sliding mode speed controller by Wuhen Jin, Shi Jin, Siyang Yu, Hao Wang, Zhaoyu Zhang

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Repetitive Control Compensation Joint Control for Hydraulic Quadruped Robot by SHAO Jun-peng, XU Yan-shuai, SUN Gui-tao, LIU Meng-meng

“…The effectiveness of the controller is verified by the experimental results of the electro.hydraulic servo.test bench. The research shows that the repetitive controller can effectively use the electro.hydraulic servo actuator for repeated operation information, after a certain error correction, amplitude complete tracking, phase lag is reduced, to verify the effectiveness of the repetitive control compensation PID.…”
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PERFORMANCE COMPARISON OF SARIMA INTERVENTION AND PROPHET MODELS FOR FORECASTING THE NUMBER OF AIRLINE PASSENGER AT SOEKARNO-HATTA INTERNATIONAL AIRPORT by Vivin Nur Aziza, Fatma Hilali Moh'd, Firda Aulia Maghfiroh, Khairil Anwar Notodiputro, Yenni Angraini

“…In this study we discuss performance comparison of two models namely SARIMA intervention and Prophet in forecasting the number of domestic passengers at Soetta Airport. The research results showed that the best SARIMA intervention model was SARIMA (0,1,1)(1,0,0)12 b = 0, s = 20, r = 0, with a Mean Absolute Percentage Error (MAPE) of 28% and Root Mean Square Error (RMSE) of 433473. …”
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Integrated intelligent neuro-evolutionary computing approach to study SEIRC model representing campylobacteriosis transmission dynamics by Muhammad Shoaib, Saba Kainat, Areej Abdullah Alabduljabbar, Kottakkaran Sooppy Nisar, Muhammad Asif Zahoor Raja

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Housing Price Forecasting Using AI (LSTM) by Hossein Ziyadi, Erfan Salavati, Mohammad Mahdi Lotfi Heravi

“…ObjectiveForecasting the asset prices in any market is an inseparable and critical part of research on markets. Obtaining a credible prediction of an asset's potential future price provides valuable information for investors. …”
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Using satellite-derived attributes as proxies for soil carbon cycling to map carbon stocks in alpine grassland soils by Ren-Min Yang, Lai-Ming Huang, Zhifeng Yan, Xin Zhang, Shao-Jun Yan

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Impact of Low-dose Imaging on PET Quantitative Accuracy and Image Quality by SU Xuesong, GENG Jianhua, ZHENG Rong, WANG Xuejuan

“…Low-dose imaging represents a significant research focus within the field of PET, with delayed PET imaging also encountering situations with lower imaging doses. …”

Relationship between Tai Chi and clinical outcomes in elderly patients with COVID-19: a protocol for systematic review and dose–response meta-analysis by Yang Wang, Na Li, Xiao Peng, Chun Wang, Sheng He, Jinfeng Yang, Yuanpeng Liao

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The Utility of Virtual Reality in Ophthalmology: A Review by Ahuja AS, Paredes III AA, Eisel ML, Ahuja SA, Wagner IV, Vasu P, Dorairaj S, Miller D, Abubaker Y

“…Future research in streamlining VR methods to be more accessible and cost-effective has the potential to overcome these challenges. …”
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Association of prognostic nutritional index with all-cause and cardiovascular mortality in adults with depression: NHANES 2005–2018 by Haiyan Ding, Xinchun Zou

“…IntroductionThe Prognostic Nutritional Index (PNI) reflects immune and nutritional status and has been widely used to assess various diseases. However, research on the PNI and mortality in patients with depression is limited.ObjectiveThe study aimed to assess the association between the PNI and both all-cause and cardiovascular disease (CVD) mortality in adults with depression.MethodsThis study analyzed the PNI levels in a cohort of 2,396 adults with depression. …”
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