Article
Health Care Sciences & Services
Olamide Sadare, Tom Melvin, Hugh Harvey, Erik Vollebregt, Stephen Gilbert
Summary: Mobile apps are the main access point for consumers to health and wellness software, with Apple App Store and Google Play Store dominating the delivery. Due to new EU regulations, Apple and Google now have to ensure app compliance with medical devices regulations and report serious incidents resulting from app usage. However, the implementation of these new rules is uneven and unclear in some areas.
NPJ DIGITAL MEDICINE
(2023)
Article
Mathematics
Ayesha Kalhoro, Asif Ali Wagan, Abdullah Ayub Khan, Jim-Min Lin, Chin Soon Ku, Lip Yee Por, Jing Yang
Summary: Non-fungible tokens (NFTs) are individual tokens containing valuable information stored on the blockchain, which can be bought and sold based on market demand. NFTs' unique data allows for easy verification and authentication of ownership and token transfer. This paper presents an NFT approach and business policies specific to the IT domain, discussing how NFT tokens can store software applications and provide rewards for developers.
Article
Chemistry, Analytical
Thanh-Tung Mac, Daisuke Iba, Yusuke Matsushita, Seiya Mukai, Nanako Miura, Arata Masuda, Ichiro Moriwaki
Summary: A smart gear sensor system has been developed to monitor the condition of gears. This system analyzes the return loss of a monitoring antenna magnetically connected to the smart gear to determine the gear's health condition. The study explores how distance and phase fluctuations between the components affect the magnetic resonant return loss. Experimental rigs were used to test these factors under static and high-speed conditions. The findings highlight the importance of considering coupling distance and phase angle changes in accurately monitoring gear health.
Article
Engineering, Electrical & Electronic
Qiuyi Chen, Yong Yao, Gui Gui, Suixian Yang
Summary: This article proposes a neural network model for detecting the health condition of gears, which uses acoustic signals and addresses the domain shift problem through domain adversarial and attention mechanisms, thereby improving the diagnostic performance.
IEEE SENSORS JOURNAL
(2022)
Article
Nutrition & Dietetics
Katie Allen, Ayazullah Safi, Sanjoy K. Deb
Summary: Police officers are at high risk of obesity and cardiometabolic health conditions due to their shift work. This study aimed to understand the impact of different shift types on the dietary habits of UK police officers. The results showed that the diet quality was worse on all shifts compared to rest days and was negatively correlated with BMI. Barriers to healthy eating included lack of time, motivation, and cost. Police-specific dietary interventions are needed to address these barriers and promote behavior change.
BRITISH JOURNAL OF NUTRITION
(2023)
Article
Agronomy
Wei Xu, Yuqi Miao, Shuaimeng Zhu, Jimin Cheng, Jingwei Jin
Summary: This study used three software to simulate the potential distribution and range shifts of apple trees in the near future. The results showed that the distribution range of apple trees may shift to the northwest considering various environmental factors. This study provides important evidence for future policy making.
Article
Agronomy
Huishan Li, Lei Shi, Siwen Fang, Fei Yin
Summary: In this study, an apple leaf disease detection method based on an improved YOLOv5s model was proposed to address the issue of accurately locating and identifying multi-scale and differently shaped apple leaf diseases in natural scenes. The proposed method utilized the BiFPN, transformer, and CBAM attention mechanisms to enhance the model's ability to express disease characteristics and reduce interference from background information, thus improving accuracy and recall. Experimental results showed that the BTC-YOLOv5s model achieved a mean average precision of 84.3% and demonstrated higher detection accuracy and faster detection speed compared to other classic detection models. The proposed model also exhibited strong robustness under various noise conditions. The findings suggest that the BTC-YOLOv5s model is lightweight, accurate, and efficient, making it suitable for mobile device application, and it can provide technical support for early intervention and treatment of apple leaf diseases.
Article
Engineering, Chemical
Yunxia Li, Lei Li
Summary: This paper proposes the use of an automated mechanical transmission (AMT) as a soft starter for medium-scale belt conveyors. The AMT is used to start the conveyor and control its acceleration using a segmented belt acceleration curve. Simulation results show that this method is effective and provide a theoretical basis for using AMTs as soft starters.
Article
Multidisciplinary Sciences
Jiangming Wu, Hongzhi Yan, Shuangqi Liu, De Ni
Summary: In this study, a bond graph-based method is proposed to model and analyze the dynamic behavior of a variable transmission system. By dividing the transmission system into multiple component-level real-time dynamic models and considering the coupling of energy flow paths, a nonlinear multi-energy domain shift dynamic models are obtained. The simulation results show that there is a delay in the speed response during the shifting process, which is related to the mechanical structure and passive working principle of the clutch. Additionally, the impact of different hydraulic loading durations on component speed and torque is analyzed.
Article
Instruments & Instrumentation
Ning Wang, Chao Zhang, Tao Ma, Xunhao Ding, Feiyu Huang, Jianyi Wu, Zhongyun Ye
Summary: This paper conducted a systematic analysis on how modulus ratio, sensor size ratio and media inhomogeneity in smart aggregate (SA) affect monitoring data. The results show that the modulus ratio and sensor size ratio are two key factors affecting the matching error.
SMART MATERIALS AND STRUCTURES
(2023)
Article
Computer Science, Artificial Intelligence
Liyong Wang, Xiaoyu Xu, Qinghua Su, Yue Song, Haodong Wang, Min Xie
Summary: This paper proposes a new method based on Bi-directional Long Short-Term Memory (Bi-LSTM) network to control gear shifting in mine trucks, updating the traditional manual transmission system to automatic. Experimental results demonstrate that machine learning networks with nine parameters achieve higher gear shifting prediction accuracy, and the Bi-LSTM network shows advantages in processing sequential data within a short time.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Nutrition & Dietetics
Bastien Vallee Marcotte, Marie Verheyde, Sonia Pomerleau, Alain Doyen, Charles Couillard
Summary: Moderate consumption of apple juice has been found to have positive effects on cardiovascular health, particularly on oxidative stress. The bioactive components in apple juice may also have impacts on cancer and neurodegenerative diseases.
Article
Engineering, Industrial
Toru Kizaki II, Qinru Zheng, Liming Shu, Junichi Tanaka, Toshifumi Katsuma
Summary: This study analyzed the specific grinding energy and heat partition ratio of continuous generating grinding under dry conditions. The results showed that a grinding wheel with more starts had a lower specific energy, while the heat partition ratio remained almost unchanged.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2022)
Article
Engineering, Mechanical
Jinhai Wang, Jianwei Yang, Yunlei Lin, Yuping He
Summary: This study analyzes the impact of different profile shifts on the time-varying meshing stiffness (TVMS) and dynamic characteristics of gear systems. Positive individual shifts decrease gear tooth stiffness and TVMS, leading to stronger vibrations, while negative shifts increase tooth stiffness and TVMS, reducing vibration. Compound shifts in S-gearing have a slight impact on TVMS but significantly affect the dynamic characteristics.
MECHANISM AND MACHINE THEORY
(2022)
Article
Multidisciplinary Sciences
Chenyang Wang, Wanlu Jiang, Yi Yue, Shuqing Zhang
Summary: This paper presents a scheme for predicting the remaining useful life (RUL) of a hydraulic pump (gear pump) using a combination of a deep convolutional autoencoder (DCAE) and a bidirectional long short-term memory (Bi-LSTM) network. Experimental results show that the proposed method has good predictive performance.
