Real-time monitoring of lower limb movement resistance based on deep learning by Burenbatu, Yuanmeng Liu, Tianyi Lyu

“…Experimental results demonstrate that MMTL-Net significantly outperforms existing models on the UCI Human Activity Recognition and Wireless Sensor Data Mining Activity Prediction datasets, achieving a lower Force Error Rate (FER) of 6.8% and a higher Resistance Prediction Accuracy (RPA) of 91.2%. …”
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The Impact of Movement Control Order (MCO) during Pandemic COVID-19 on Local Air Quality in an Urban Area of Klang Valley, Malaysia by Mohd Shahrul Mohd Nadzir, Maggie Chel Gee Ooi, Kemal Maulana Alhasa, Mohd Aftar Abu Bakar, Anis Asma Ahmad Mohtar, Mohd Fadzil Firdzaus Mohd Nor, Mohd Talib Latif, Haris Hafizal Abd Hamid, Sawal Hamid Md Ali, Noratiqah Mohd Ariff, Johary Anuar, Fatimah Ahamad, Azliyana Azhari, Norfazrin Mohd Hanif, Mohammed Ahmed Subhi, Murnira Othman, Mohd Zaim Mohd Nor

“…Here, we investigate changes in air quality during the MCO at an urban area using the air sensor network AiRBOXSense which measures monoxide (CO) and particulate matter (PM2.5 and PM10). …”
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Accuracy of Freestyle Libre continuous glucose monitoring system in critically ill patients after cardiac surgery by Junjun Gu, Zhimin Zhao, Haiyan Li, Bailing Li, Si Chen, Yingdan Cao, Ning Li, Xiaoying Lu

“…The clinical accuracy was assessed by consensus and Clarke error grid. Results 435 paired sensor–reference values were enrolled between the Freestyle and venous BG. …”
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Models for Processing Nighttime Light Data and Software Development by Yufeng Qu, Long Li, Xuqing Li, Runya Li, Man Liu, Yushuai Wei, Yongjian Huang

“…However, the differences in sensor calibration and sensitivity to faint lights between the two satellites prohibit the merging of these two datasets into a longer one, which limits their further application in long-term time series analysis (1992 - present). …”
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Accuracy and Usability of Smartphone-Based Distance Estimation Approaches for Visual Assistive Technology Development by Giles Hamilton-Fletcher, Mingxin Liu, Diwei Sheng, Chen Feng, Todd E. Hudson, John-Ross Rizzo, Kevin C. Chan

“…For usability, CoreML fared favorably with the lowest central processing unit usage, second lowest battery usage, highest field-of-view, and no specialized sensor requirements. <italic>Conclusions:</italic> We provide key information that helps design reliable smartphone-based visual assistive technologies to enhance the functionality of PBLV.…”
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UDP-Induced Phagocytosis and ATP-Stimulated Chemotactic Migration Are Impaired in STIM1−/− Microglia In Vitro and In Vivo by Hye Min Lim, Heo Woon, Jung Woo Han, Yoshihiro Baba, Tomohiro Kurosaki, Min Goo Lee, Joo Young Kim

“…STIM1 is the only currently known intracellular calcium sensor that functions as the calcium influx regulator controlling immune cell activation. …”
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Physics-Informed Neural Network for modeling and predicting temperature fluctuations in proton exchange membrane electrolysis by Islam Zerrougui, Zhongliang Li, Daniel Hissel

“…The proposed method shows a high performance in dealing with sensor noises and avoids overfitting problems. This synergy of physics knowledge and data-driven learning opens new pathways towards real-time digital twins, enhanced predictive control, and improved reliability for PEM electrolysis and other complex, data-scarce energy systems.…”
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Video as a Documentation Method: A Qualitative Study of Physiotherapists' Experiences by Silje Bechmann Granås, Ingrid Konstanse Ledel Solem, Ingrid Eitzen, Jenny M. Bergschöld, Cecilie Våpenstad, Wencke Vooren Aase, Trond Halvorsen

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A Facile Review on the Sorption of Heavy Metals and Dyes Using Bionanocomposites by Uyiosa Osagie Aigbe, Kingsley Eghonghon Ukhurebor, Robert Birundu Onyancha, Benedict Okundaye, Kaushik Pal, Otolorin Adelaja Osibote, Ese Lawrence Esiekpe, Heri Septya Kusuma, Handoko Darmokoesoemo

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Drought Vulnerability Characterization and Nature-Based Adaptation, Eerer Sub-Basin, Eastern Ethiopia by Asfaw Kebede Kassa, Dejene W. Sintayehu, Negash Tessema, Bekele Girma, Jemal Yousuf

“…Moreover, it proposed a long-term strategy to integrating NbS into disaster risk reduction plans by leveraging multi-sensor satellite data and other sources. The Analytical Hierarchy Process (AHP), Geographic Information System (GIS) and Remote Sensing (RS) were employed to evaluate drought vulnerability in the study area. …”
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Exploring a New Cueing Device in People Who Experience Freezing of Gait: Acceptance of a Study Design by Agnes Wilhelm, Tanja Riedl, Christian Paumann, Jessie Janssen

“…The aim of this study was to investigate, if the proposed study design using a SVSD and gait analysis sensor insoles was acceptable for people with PD. …”
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Ultra‐Low Threshold Resonance Switching by Terahertz Field Enhancement‐Induced Nanobridge by Sang‐Hun Lee, Moohyuk Kim, Yeeun Roh, Myung‐Ki Kim, Minah Seo

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Ditch management using low-grade weirs: an opportunity for mitigating water quality and quantity impacts by J. S. Strock, A. Z. Ranaivoson

“…Stage-discharge data were collected using a data logger and bubble level sensor. Water samples were collected for water quality analysis daily using automated samplers. …”
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Parameter-Efficient Vehicle Trajectory Prediction Based on Attention-Enhanced Liquid Structural Neural Model by Ruochen Wang, Yue Chen, Renkai Ding, Qing Ye

“…Due to advances in sensor techniques and deep learning, autonomous vehicular technologies have become more reliable and practical. …”
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Identification and investigation of the area under cultivation in Lenjanat using Landsat 8 satellite images by Vahid Riahi, Parviz Zeaiean Firouzabadi, Farhad Azizpour, Parastoo Darouei

“…In this research, in order to identify and separate the lands under cultivation of the dominant crops in Lenjanat of Isfahan province, the multi-temporal images of Landsat 8 satellite, OLI sensor were used in the dates of April 17, July 6, and August 23 in 2016. …”
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A Hybrid Model for Assessing the Performance of Medical Tourism: Integration of Bayesian BWM and Grey PROMETHEE-AL by Chin-Cheng Yang, Chih-Chien Shen, Tso-Yen Mao, Huai-Wei Lo, Chun-Jui Pai

“…The results of the analysis show that the two most critical criteria for MT are “the operators have cloud computing systems to analyze the travelers’ sensor data in real-time and accurately to provide customized medical services” and “multilingualism and communication skills of medical travel-related personnel.” …”
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Maximizing Electric Power Recovery through Advanced Compensation with MPPT Algorithms by Souad Touairi, Mustapha Zekraoui, Mustapha Mabrouki

“…The utilization of Harris Hawks optimization (HHO) and the generation of quadrants in the four-quadrant operation mode of DC motors in the wireless sensor network (RCSFs) have been significantly enhanced in this study. …”
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Comprehensive Ultrasound Diagnosis of Sigmoid Diverticulitis by A. I. Кoushnerou, I. A. Hadji-Ismail, A. V. Vorobei, S. I. Rudenka

“…Ultrasound check-up enables a reliable estimation of blood supply and peristalsis, colonic wall thickness and layers, presence of asymptomatic diverticula, signs of acute diverticulitis (pain on sensor touch, mesocolic tissue infiltration, presence of faecal calculi and gas in diverticulum, peridiverticulitis) and other complications of diverticular disease (fistulae, abscess or peritonitis), as well as a consistent differential instrumental diagnosis of other organ illnesses.Conclusion. …”
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Screening for Atrial Fibrillation by Digital Health Technology in Older People in Homecare Settings: A Feasibility Trial by Edvard Liljedahl Sandberg, Sigrun Halvorsen, Trygve Berge, Jostein Grimsmo, Dan Atar, Bjørnar Leangen Grenne, Jarle Jortveit

“…Participants performed a continuous prolonged ECG recording using a patch ECG device (ECG247 Smart Heart Sensor). Results. A total of 144 individuals were assessed for study participation, but only 18 (13%) were included. …”
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Human Following Robot Berbasis IoT untuk Otomatisasi Troli: Meningkatkan Pembelajaran dalam Mata Kuliah Airport Automation by Sunardi Sunardi, Muhammad Rafli Fazal, Adha Febriansyah, Asep Muhamad Soleh, Parjan Parjan, Hadi Prayitno

“…Dengan menggunakan model R&D Borg & Gall, troli ini beroperasi melalui gerakan tangan yang terdeteksi oleh sarung tangan dengan sensor gyroscope. Mikrokontroler ESP-32 mengaktifkan troli melalui internet, sementara Arduino Mega memproses data untuk mengontrol gerakan melalui motor DC. …”
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