Human activity recognition system based on low-cost IoT chip ESP32 by Chao HU, Bangyan LU, Yanbing YANG, Zhe CHEN, Lei ZHANG, Liangyin CHEN

“…Human activity recognition widely exists in applications such as sports management and activity classification.The current human activity recognition applications are mainly divided into three types: camera-based, wearable device-based, and Wi-Fi awareness-based.Among them, the camera-based human activity recognition application has the risk of privacy leakage, and the wearable device-based human activity recognition application has problems such as short battery life and poor accuracy.Human activity recognition based on Wi-Fi sensing generally uses Wi-Fi network cards or software-defined radio devices to identify the rules of channel state information changes, so as to infer user activity.It does not have the problems of privacy leakage and short battery life.But Wi-Fi network cards need to rely on computers and software-defined radio platforms are expensive, which greatly limit the application scenarios of Wi-Fi sensing.Aiming at the above problems, a human activity recognition system based on the low-cost IoT chip ESP32 was proposed.Specifically, the Hampel filter and Gaussian filter were used to preprocess the channel state information obtained by ESP32.Then, the principal component analysis and discrete wavelet transform were utilized to reduce the dimension of the data.Finally, the K-nearest neighbor (KNN) algorithm was applied to classify data.The experimental results show that the system can achieve a recognition accuracy which close to the current mainstream Wi-Fi perception system (Intel 5300 network card) when only two ESP32 nodes are deployed, and the average accuracy rate for the six activities is 98.6%.…”
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RATIONAL COMPROMISE SEARCHING METHOD IN ONE CLASS OF MULTIOBJECTIVE OPTIMIZATION PROBLEM IN EVALUATION OF INDETERMINATE OBJECTIVES SET BY THE FUNCTIONS OF ONE VARIABLE by Oleh V. Borovyk, Liudmyla V. Borovyk, Mykola V. Krasovsky

“…The problems of operations research have a greater degree of formalization, since they usually a priori provide all the restrictions, conditions, outcoming data and mathematical models. In system analysis problems, part of restrictions, conditions, outcoming data have not been studied in advance, the information about them is refined in the process of problem formalization and solving. …”
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The Effectiveness of Learning Isim Maushul with Historical Stories l Fa‘aliyyah Ta‘allum al-‘Ism al-Maushul bi al-Qishash al-Tarikhiyyah by Fahmi Prastyo Muhajir, Imam Fauji

“…Meanwhile, the data analysis technique used a comparison with the SPSS application which aimed to find out before and after learning isim maushul with historical stories. …”
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Examining Infection Control Awareness and Adherence Among Public Health College Students: A Cross Sectional Study by Tassnym H. Sinky, Mashael S. Alfaifi, Eman A. Abu-Seer, Amal O Bashir, Laila S. Abd Elrhman, Hatim A. Natto

“…Methods and Material: Methods: Data were collected using an online, cross-sectional questionnaire from public health students at Umm Al-Qura University (n = 400). …”
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Selenium Nanoparticles (Se NPs) as Agents for Agriculture Crops with Multiple Activity: A Review by Dmitry E. Burmistrov, Sergey A. Shumeyko, Natalia A. Semenova, Alexey S. Dorokhov, Sergey V. Gudkov

“…The review analyzes relevant literature data for the last 10 years, considering the effect of Se NPs application on morphometric and biochemical parameters of plants. …”
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Evaluating Generalization of Methods for Artificially Generating NDVI from UAV RGB Imagery in Vineyards by Jurrian Doornbos, Önder Babur, João Valente

“…Moreover, model performance varies with sensor differences, vineyard structures, and environmental conditions, underscoring the importance of training data diversity and domain alignment. In highlighting these sensitivities, this application-centric evaluation demonstrates that while GANs can offer a viable NDVI alternative in some scenarios, their real-world utility is not guaranteed. …”
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Effectiveness of Skin- to Skin Contact on duration of third stage of labor in Baghdad Teaching Hospital: Comparative Study. by Rabea M. Ali, Mountaha Kahidm Mejbel

“…Data were collected through the utilization of application, observation, assessment tool, and the interview techniques as a mean of data collection process. …”
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Calibration of Integrated Low-Cost Environmental Sensors for Urban Air Temperature Based on Machine Learning by Fang Nan, Chao Zeng, Huanfeng Shen, Liupeng Lin

“…This study focuses on an internet of things (IoT) application in Wuhan, China, aiming to enhance the quality of long-term hourly air temperature data collected by low-cost sensors through on-site calibration. …”
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The spatial transcriptome of the late-stage embryonic and postnatal mouse brain reveals spatiotemporal molecular markers by Yuichiro Hara, Takuma Kumamoto, Naoko Yoshizawa-Sugata, Kumiko Hirai, Xianghe Song, Hideya Kawaji, Chiaki Ohtaka-Maruyama

“…However, a deeper understanding of these data requires computational estimation, including integration with single-cell transcriptome data and aggregation of spots at the single-cell cluster level. …”
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Comparative analysis of statistical software products for the qualifying examination of plant varieties suitable for dissemination by Н. В. Лещук, К. М. Мажуга, Н. С. Орленко, Є. М. Стариченко, Є. А. Шкапенко

“…To define statistical methods and tools (application packages) for creating the decision support system (DSS) for qualifying examination of plant varieties suitable for dissemination (VSD) in the context of data processing tasks. …”
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Prevention of Food Waste in China: Role and Impact of China’s Anti-Food Waste Law by Shenghang Wang, Dongxu Liu, Jiping Sheng

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Integrative network analysis reveals novel moderators of Aβ-Tau interaction in Alzheimer's disease by Akihiro Kitani, Yusuke Matsui, for the Alzheimer’s Disease Neuroimaging Initiative

“…Methods Proteomic data from the ROSMAP cohort were integrated with protein–protein interaction (PPI) data using a Deep Learning-based model. …”
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Development of a Wireless Sensor Network and IoT-based Smart Irrigation System by Juliana Ngozi Ndunagu, Kingsley Eghonghon Ukhurebor, Moses Akaaza, Robert Birundu Onyancha

“…This study proposes a smart irrigation system (SIS) using the drip method, which was designed and implemented using wireless sensor networks and an open-source Internet of Things (IoT) cloud computing platform (“Thingspeak.com”) for data collection, storing, data analytics, and visualization. …”
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Digital Twins by Physical Education Teaching Practice in Visual Sensing Training System by Xinran Liu, Ji Jiang

“…Secondly, through the Kinect sensor, bone data are acquired. Finally, the hidden Markov model (HMM) is used to simulate the experimental data. …”
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Intensive Arabic Language Teaching to Acquire the Four Linguistic Skills | Tadrĩs al-Lugah al-‘Arabiyyah al-Mukaśśaf li Iktisāb al-Mahārāt al-Lugawiyyah al-Arba’ by Muhamad Bisri Ihwan, Ro’fat Hizmatul Himmah, Abdul Wahab Rasyidi, Muhamad Fai Al Fatih

“…Also to identify strengths and weaknesses in intensive Arabic learning. To obtain data, researchers used a qualitative research approach using types of fields, the source of research data was purposive sampling to students at the Islamic Boarding School. …”
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Key Techniques of Smart City and Path to Realization by Jing Xu

“…With rapid development of the new generation information technology,digital city is evolving to smart city that creates a new vision for modern city.Smart city is a concrete manifestation of smart earth in city areas,and it has three features of thorough perception,depth interconnected and intelligent application.This study compares digital city and smart city from various aspects of data collection,interconnection,information processing,architecture and application,based on which the technology roadmap of instrumented,interconnected,intelligent were discussed.…”
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A Software Design of on Board Display System Based on QNX by 匡晋湘, 刘辉

“…Based on the analysis of functional requirements for on board display system, an application software design structure with high availability was proposed according to the high modular application system and good graphic-development environment of QNX operating software. …”
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Improved Pacific Decadal Oscillation Prediction by an Optimizing Model Combined Bidirectional Long Short-Term Memory and Multiple Modal Decomposition by Hang Yu, Junbo Lei, Pengfei Lin, Tao Zhang, Hailong Liu, Huilin Lai, Lindong Lai, Bowen Zhao, Bo Wu

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Effects of biochar on soil respiration mediated by rainfall events: evidence from one-year field experiment in an urban forest by Haoran Zu, Zijun Deng, Xin Liu, Junyi Luo, Ying Chen, Meiling Yi, Xiao Wang, Xiaocui Liang, Xiang Zhang, Wende Yan

“…We specifically examined how different stages of rainfall events influenced soil respiration in relation to biochar application. Results This study found that the annual average soil respiration rate increased with the doses of biochar application, and the soil respiration rate under the biochar application at the dose of 45 t/ha showed a significant rise. …”
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Development and validation of a nomogram model for predicting venous thromboembolism risk in lung cancer patients treated with immune checkpoint inhibitors: A cohort study in China by Guanzhong Liang, Zuhai Hu, Qianjie Xu, Guixue Wang, Ying Wang, Xiaosheng Li, Wei Zhang, Haike Lei

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