Article
Computer Science, Theory & Methods
Yanxia Li, Ke Zhao
Summary: The research on sport motional characteristic modeling in HCI field is of great significance, and a method based on multi-model feature fusion is proposed to control motion features. This method utilizes Kinect sensor to capture real-time video stream and utilizes HSV-based image segmentation to improve hand image recognition. Experimental results demonstrate the effectiveness of this method.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Article
Multidisciplinary Sciences
Zheng Dong, Juan Ma, Jiahuang Qiu, Quanzhong Ren, Qinge Shan, Xuefeng Duan, Guangle Li, Yi Y. Zuo, Yu Qi, Yajun Liu, Guoliang Liu, Iseult Lynch, Min Fang, Sijin Liu
Summary: Mounting data suggest that environmental pollution due to airborne fine particles (AFPs) increases the occurrence and severity of respiratory virus infection in humans. However, it is unclear whether and how interactions with AFPs alter viral infection and distribution. Our study reveals synergetic effects between various AFPs and the H1N1 virus, regulated by physicochemical properties of the AFPs. These findings highlight the key role of AFPs in driving viral infection throughout the respiratory tract and beyond, emphasizing the need for stronger air quality management and pollution reduction policies.
Article
Computer Science, Information Systems
Gabriel Spadon, Martha D. Ferreira, Amilcar Soares, Stan Matwin
Summary: This paper aims to model the AIS message transmission behavior through neural networks for forecasting upcoming AIS messages' content from multiple vessels. Deep learning models have shown a good ability to preserve vessels' spatial awareness regardless of temporal irregularity. The model achieved promising results in predicting vessel routes when analyzing multiple vessels of diverging types under temporally noise data.
Review
Chemistry, Medicinal
Ru Dong, Xiaoxiao Yang, Binghe Wang, Xingyue Ji
Summary: This article explores the potential of using proximity effects and click chemistry to mutually enhance chemical biology and drug discovery, and emphasizes the importance of this mutual leveraging approach in biomimicry.
MEDICINAL RESEARCH REVIEWS
(2023)
Article
Engineering, Electrical & Electronic
Liangsong Huang, Shuo Wang, Kun Zhang, Yuxia Li, Hualei Sui, Xiaofei Bu, Ying Jiang, Xin Huang, Peng Zhang
Summary: As a non-contact sensor, flexible proximity sensor has important application prospects in various fields. This review summarizes the classification, performance index, and research progress of flexible proximity sensors. The design principle, structure composition, material selection, performance evaluation, and application scenarios of current flexible proximity sensors are discussed. The challenges and future research directions of flexible proximity sensors are also addressed in this paper.
SENSORS AND ACTUATORS A-PHYSICAL
(2023)
Article
Engineering, Electrical & Electronic
Cyuyeol Rhee, Hyunjong Kim, Han Yang, Suhwan Kim, Hyunjoong Lee
Summary: This paper introduces a novel optical proximity sensor based on silicon nanowires, which can detect distance behind a display panel and eliminate dark leakage current through the ROIC. Utilizing techniques such as auto-zeroing and bias sampling, the sensor effectively reduces offset and noise, and is capable of detecting objects closer than 40mm under different VCSEL driving currents.
IEEE SENSORS JOURNAL
(2021)
Article
Multidisciplinary Sciences
Andras Bota, Martin Holmberg, Lauren Gardner, Martin Rosvall
Summary: Factors such as population centers and meteorological conditions were found to significantly impact influenza outbreaks in Sweden, while travel and other socioeconomic indicators had minimal effects. By training the model on the 2009 outbreak, accurate predictions of epidemic onsets in the following five seasons were achieved.
SCIENTIFIC REPORTS
(2021)
Article
Multidisciplinary Sciences
G. Cencetti, G. Santin, A. Longa, E. Pigani, A. Barrat, C. Cattuto, S. Lehmann, M. Salathe, B. Lepri
Summary: Digital contact tracing is increasingly recognized as a tool to control infectious disease outbreaks, especially during the COVID-19 pandemic. The authors present a modeling framework based on high-resolution contact data to analyze the impact of digital contact tracing apps. Results suggest that isolation and tracing can help control re-emerging outbreaks under specific conditions.
NATURE COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Zhe Liu, Diansheng Chen, Junlin Ma, Daiyu Jia, Tingyu Wang, Qile Su
Summary: This paper proposes a self-capacitance-based long-range proximity-sensing e-skin to solve the problems of insufficient sensing distance and inaccurate distance prediction in electronic skin. By optimizing the shape and parameters of the electrodes, a long sensing distance and high accuracy in distance estimation were achieved. The integration of the sensor array with the robotic arm demonstrated safe obstacle avoidance and deceleration, showcasing the great potential of e-skin in future human-machine collaboration scenarios.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Multidisciplinary
Reza Farsi, Nergiz Sahin Solmaz, Naser Khosropour, Bruno Jacinto, Frederic Giroud, Giovanni Boero
Summary: This paper presents the design and characterization of two inductive proximity sensors based on LC oscillators operating at 500 MHz. The distance from the target is determined by measuring the change in oscillation frequency. The sensors consist of an off-chip LC resonator, a planar coil, a ceramic capacitor, and integrated CMOS electronics. The first sensor uses a buffer for output, while the second sensor includes a co-integrated digital V frequency counter. The first sensor achieves a frequency noise floor of 0.085 Hz/VHz above 3 kHz, with a resolution of 0.2 pm/Hz at a distance of 200 μm from the coil. The second sensor has a noise floor of 2 Hz/Hz, a resolution of 5 pm/Hz, and an integrated resolution of 900 pmrms.
Article
Medicine, General & Internal
Haley Wienkes, Kelley Vilen, Alexandra Lorentz, Daniel Gerlach, Xiong Wang, Amy Saupe, Richard Danila, Ruth Lynfield, Kirk Smith, Carlota Medus
Summary: This cohort study investigated transmission and infection of SARS-CoV-2 among vaccinated and unvaccinated attendees at an indoor wedding reception, identifying a Delta variant outbreak despite a high proportion of vaccinated attendees and finding that vaccination was associated with a reduced risk of infection.
Article
Multidisciplinary Sciences
Yi Feng, Xiya Cui, Jingjing Lv, Bingyu Yan, Xin Meng, Li Zhang, Yanhui Guo
Summary: This study analyzes the influence of meteorological factors on the incidence of hepatitis E to improve the accuracy of incidence prediction. It was found that sunshine duration and rainfall-related factors have a greater impact on the incidence of hepatitis E. The prediction accuracy increased by 7.83% when meteorological factors were used compared to when they were not used.
Article
Automation & Control Systems
Tien Dat Nguyen, Taesung Kim, Jiho Noh, Hoa Phung, Gitae Kang, Hyouk Ryeol Choi
Summary: This article introduces a sensor named STPS that can provide impedance distance information between the sensor and an approaching object before collision; validates a new method for selecting the resonant frequency range to optimize the measured distance; through modeling, simulation, fabrication, and signal processing methods, experimentally validates the performance of the sensor and demonstrates collaboration between humans and robots.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Review
Materials Science, Multidisciplinary
Songlin Zhang, Michael Bick, Xiao Xiao, Guorui Chen, Ardo Nashalian, Jun Chen
Summary: Global interest in wearable bioelectronics for monitoring human health status is rising, especially with the emergence of new diseases. While using wearable devices for personal health monitoring is becoming popular, finding practical healthcare solutions is becoming increasingly challenging with an aging population. Triboelectric nanogenerators show promise for sustainable power sources, active biomonitors, and electrical stimulation therapeutics in bioengineering applications, but there are challenges that need to be addressed in leveraging them for personalized healthcare.
Article
Chemistry, Physical
Qianqian Liang, Dong Zhang, Yuchen Wu, Xiangyang Qu, Yuhang Jia, Shiyan Chen, Huaping Wang, Chengkuo Lee
Summary: We reported a bimodal sensor based on a bacterial cellulose (BC)@BC/carbon nanotube (CNT) helical fiber, which has excellent stretchability, high compatibility, and stable sensing capability. The sensor can detect pressure and proximity, with capacitance increasing with pressure in the contact mode and monitoring range of 0-20 cm in the non-contact mode. Additionally, it can be used to detect body motion and aid referees in efficient judgment in sports.