Analysis of HFE impact of COVID-19 on OHS in construction enterprises by Zhonghong Cao, Junjie Zhu, Zhenzhen Wang

“…This study develops an optimized HFE evaluation model based on fundamental HFE principles. …”
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Dynamic Graph Neural Network for Garbage Classification Based on Multimodal Feature Fusion by Yuhang Yang, Yuanqing Luo, Yingyu Yang, Shuang Kang

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Research on Collaborative Governance of Smart Government Based on Blockchain Technology: An Evolutionary Approach by Shaonan Shan, Xia Duan, Ying Zhang, Ting Ting Zhang, Hui Li

“…Smart government is an important means of optimizing government management, improving the government decision-making capacity, and pushing forward the public service. …”
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A real-time predicting online tool for detection of people’s emotions from Arabic tweets based on big data platforms by Naglaa Abdelhady, Ibrahim E. Elsemman, Taysir Hassan A. Soliman

“…The system consists of two main stages: (1) Developing an offline model and (2) Online emotion prediction pipeline. …”
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Perceived competency requirements for emergency medical services field supervisors in managing chemical and explosive incidents – qualitative interview study by Jussi Kauppila, Timo Iirola, Hilla Nordquist

“…The data was analyzed using inductive-deductive content analysis, with the Major Incident Medical Management and Support model as the theoretical framework. Results The results were grouped under one inductive main category, “Being Prepared,” and six deductive main categories: “Command and Control,” “Safety,” “Communication,” “Assessment,” “Triage and Treatment,” and “Transport.” …”
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Stability analysis of geosynthetic-reinforced soil bridge abutments under extreme rainfall conditions by Qiangqiang HUANG, Feifan REN

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A k-nearest text similarity-BiGRU approach for duration prediction of traffic accidents on expressways by Jiaona Chen, Jin Zhang, Peng Wang, Yinli Jin

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Kinematic Decoupling Analysis and Design of a Biomimetic Robotic Elbow Joint by Bingyan Cui, Liwen Chen, Yongtao Xie, Zhijun Wang

“…Thirdly, using the spatial model theory, the structural parameters of the elbow joint are optimized, the structural parameters are selected by the Monte Carlo method, and the novel biomimetic robotic elbow joint is designed. …”
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Machine learning and spatio-temporal analysis of meteorological factors on waterborne diseases in Bangladesh. by Arman Hossain Chowdhury, Md Siddikur Rahman

“…The optimal XGBoost model highlighted mean and minimum temperature, relative humidity and precipitation as determinants associated with waterborne diseases in Bangladesh from 2017 to 2020.…”
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Risk Assessment of Constructing Deep Foundation Pits for Metro Stations Based on Fuzzy Evidence Reasoning and Two-tuple Linguistic Analytic Network Process by Jie Jiang, Guangyang Liu, Xi Huang, Xiaoduo Ou

“…To subject the construction of such pits to scientific and rational risk assessment and overcome the limitations of existing risk evaluation models and risk fusion problems, proposed here is a risk-assessment model for such pits based on fuzzy evidential reasoning and the two-tuple linguistic analytic network process (TL-ANP). …”
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Computational Fluid Dynamics Analysis of the Impacts of Air Supply Velocity Modes on the Differential Pressure Precooling Efficiency of Peaches Stored in Ventilated Packaging by CHEN Yingmin, LINGHU Boxiang, ZHAO Mingzhang, SONG Haiyan

“…In this study, a numerical model for heat and mass transfer in the differential pressure precooling of peaches stored in layered packaging under different precooling conditions was constructed based on computational fluid dynamics. …”
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Evolutionary game analysis of Arctic shipping black carbon emission reduction strategies based on government regulation and port fee differential policies by Xinli Qi, Zhenfu Li, Yiran Zhang, Qiqi Zhang, Chunrui Song

“…This study constructed a BC emissions governance model for Arctic shipping based on government regulation and differential port fee policies, and established an evolutionary game model of Arctic coastal governments, ports and shipping companies, analyzing the impact of evolutionary steady state and various parameter variables on the choice of stakeholder behavioral strategies. …”
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Prediction of Hourly PM2.5 and PM10 Concentrations in Chongqing City in China Based on Artificial Neural Network by Qingchun Guo, Zhenfang He, Zhaosheng Wang

“…We take PM2.5 (PM10), time and meteorological elements as the input of the ANN, and the PM2.5 (PM10) of the next hour as the output to build an ANN model. Thirteen kinds of training functions are compared to obtain the optimal function. …”
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Molecular mechanisms of cryoablation-mediated lung cancer suppression unveiled by non-coding RNA regulatory network profiling by Xiaofan Wang, Mohan Zhang, Dianna Liu, Shicheng Lin, Yuxin Zhang, Quanwang Li

“…We conducted the first transcriptome-based investigation of cryoablation’s anti-tumor mechanisms using the Lewis lung carcinoma (LLC) model. Subcutaneous LLC tumors were established in C57BL/6 mice, with subsequent randomization into the model, cryoablation, and cisplatin control groups (DDP). …”
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FORMATION OF PROFESSIONAL COMPETENCE IN THE COURSE OF PHYSICO-CHEMICAL LABORATORY WORKSHOP IN ECONOMIC UNIVERSITY by Natalia Yu. Stozhko, Boris I. Bortnik, Albina V. Tchernysheva, Ekaterina M. Podshivalova

“…Evaluation of formation of competences was carried out using a three-tier model based on the well-known in pedagogics measurement systems of achievements of pupils: B. …”
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Enhancing Photovoltaic System Efficiency Through Fuzzy Logic-Based Maximum Power Point Tracking by N. A. Yusri, S. N. H. M. Tarmizi, M. I. Zakaria, S. F. M. Hussein, A. R. A. A. Emhemed

“…The solar PV system comprises of a PV module, an MPP controller, all of which are designed to monitor and optimize the highest point of energy generation in a photovoltaic system and a DC-DC boost converter. …”
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Impacts of Various Straw Mulching Strategies on Soil Water, Nutrients, Thermal Regimes, and Yield in Wheat–Soybean Rotation Systems by Chaoyu Liao, Min Tang, Chao Zhang, Meihua Deng, Yan Li, Shaoyuan Feng

“…This study provides empirical evidence to inform the optimization of straw return practices in wheat–soybean rotation systems.…”
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Secure and efficient batch authentication scheme based on dynamic revocation mechanism in space information network by Yinghui ZHANG, Lingyun HU, Yixin LI, Jianting NING, Dong ZHENG

“…A secure and efficient batch authentication scheme based on dynamic revocation mechanism was proposed for the problem of cross-domain authentication of a large number of mobile users in space information networks.Early key negotiation was achieved by predicting the satellite trajectory and updating the session key in real time.Algorithms were designed for a single as well as a large number of mobile terminals to perform signing and verification, which effectively reduce the computational burden of satellites.Cuckoo filters were adopted by the new scheme to achieve dynamic revocation and malicious access control of mobile terminals.Finally, under the Diffie-Hellman assumption, the proposed scheme was proved to be resistant to replay and man-in-the-middle attacks based on a random oracle model and automated validation of internet security protocols and applications.Security goals such as traceability and revocability were achieved by the scheme, thus improving the efficiency of transmission and computation by more than 80% and 20%, respectively, compared with the existing optimal scheme.…”
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STUDY ON TWO STATE ENERGY-SAVING VANE PUMP by ZHAI JianHua, LI YiFan, WEI XiaoHua

“…The combination of a vane pump with a plug-in type pilot-operated directional control valve can achieve the shift between the two states of oil supply and unloading of the vane pump. …”
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DNN-based Sub-6 GHz assisted millimeter wave network power allocation algorithm by Changyin SUN, Liyan LIU, Fan JIANG, Jing JIANG

“…Aimed at the problems of the signaling cost and power consumption in the power control measurement of the millimeter wave system, as well as the complexity caused by iteration operations, a millimeter wave link power allocation prediction algorithm using the Sub-6 GHz frequency band was proposed.Firstly, the mapping between the Sub-6 GHz band channel information and the optimal power allocation of the millimeter wave band was analyzed.Then, a deep neural network (DNN) model was utilized to realize this mapping function.To predict the power allocation of millimeter wave channel with Sub-6 GHz channel as input, the neural network was trained with the weighted mean square error minimization method (WMMSE) as the supervisor in different scenarios.The simulation results show that compared with the WMMSE algorithm in millimeter wave band, the proposed algorithm can obtain more than 97% of its sum-rate performance while taking less than 0.1% of the time.…”
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