Relationships among Sedentary Time,Electronic Product Addiction,and Depression in Adolescents during the COVID-19 Epidemic:A Cross-Lagged Study

Objective:This study was conducted to explore the relationships among sedentary behavior(SB),electronic product addiction(EPA),and depression(D)in adolescents during the COVID-19 epidemic.Methods:A total of 604 adolescents(including 309 girls and 295 boys aged 12-18)were selected from Qufu City,Shandong Province,China for three rounds of investigation.The model was constructed using AMOS 23.0 software,and cross-lagged analysis was conducted.Results:SB at T1 can significantly positively predict SB and EPA at T2(p<0.05).EPA at T1 can significantly positively predict SB and D at T2(p<0.05).Physical activity level and SB at T2 can significantly predict SB and EPA at T3(p<0.05).EPA at T2 can significantly predict SB,EPA,and D at T3(p<0.05).Conclusions:SB and EPA are predictive factors for D.Moreover,SB can significantly positively predict D and indirectly predict D through the mediating effect of EPA.

Reliability-based multidisciplinary design optimization using incremental shifting vector strategy and its application in electronic product design

Use of multidisciplinary analysis in reliabilitybased design optimization(RBDO) results in the emergence of the important method of reliability-based multidisciplinary design optimization(RBMDO). To enhance the efficiency and convergence of the overall solution process,a decoupling algorithm for RBMDO is proposed herein.Firstly, to decouple the multidisciplinary analysis using the individual disciplinary feasible(IDF) approach, the RBMDO is converted into a conventional form of RBDO. Secondly,the incremental shifting vector(ISV) strategy is adopted to decouple the nested optimization of RBDO into a sequential iteration process composed of design optimization and reliability analysis, thereby improving the efficiency significantly. Finally, the proposed RBMDO method is applied to the design of two actual electronic products: an aerial camera and a car pad. For these two applications, two RBMDO models are created, each containing several finite element models(FEMs) and relatively strong coupling between the involved disciplines. The computational results demonstrate the effectiveness of the proposed method.

International Markets for China's Electronics Products An Interview with Ouyang Zhongmou, President of the China Electronics Import-Export Corporation

It’s estimated that by the year 2000, the international electronics market will be worth US$ 2 trillion, making the electronics industry the world’s largest. How to expand its share of this international market will be a challenge for the China Electronics Import-Export Corporation. Recently, our reporter interviewed Mr. Ouyang Zhongmou, president of CEIEC. Question: How is your corporation getting on as China’s largest foreign

Hangzhou Riyue Electronic Products Co.,Ltd.

Founded in May 1993, our company is mainly engaged in processing materials supplied by others with respect to mini electrical machinery, camera shutter, reflex shutter,

Measures for Administration of the Import of Mechanical and Electronic Products

The Measures for the Administration of the Import of Mechanical and Electronic' Products co-formulated by the Ministry of Commerce,the General Administration of Customs and the General Administration of Quality Supervision,Inspection and Quarantine,was hereby promul- gated,which entered into force as of May 1,2008.

Development of a Drop Tester for Portable Electronic Products

Portable electronic products are susceptible to accidental drop impact which can cause various functional and physical damage. This paper first presents a patent pending drop tester which allows portable electronic products free drop at any orientation and drop height, and then introduces the drop tester experiment setup and its design principle. Using a cellular phone as an experiment object, we obtain some data such as the impact forces, the impact accelerations, and the strain of an interested spot. By analyzing experiment data the influence of impact to products in various states is investigated with the aim to provide help for the design of products and improvement of reliability.

China Chamber of Commerce for Import and Export of Machinery and Electronics Products

FoundedinJuly1988,ChinaChamberofCommerceforImportandExportofMachineryandElectronics.Products(CCCME)isalegalcorporateentitywhichhasregisteredinChinabyJlaw,obtainedtherightofhandling1importsandexportsandiscomposedofeconomicentities(includingforeignfund...

Robust digital receiver for EPC sensor network

A robust digital receiver based on a matched filter （MF） is proposed for the radio frequency identification （RFID） reader system to enhance the reliability of signal processing in the electronic product code （EPC） sensor network （ESN）. The performance of the proposed receiver is investigated by examining the anti-collision algorithm in the EPC global Class1 Generation2 protocol. The validity and usefulness are demonstrated by both computer simulations and experiments. Based on the verification results, comparing with the conventional zero crossing detector （ZCD） based receiver, the proposed receiver is very robust against strong amplitude distortions and considerable frequency deviations happening on the backscattered signal from a passive tag.

Research and Analysis of Production and New Capacity of China's Electronic Copper Foil Enterprises in 2017

In the light of current fast development of new and expanded copper foil projects of electronic copper foil enterprises and recent adjustment of the main copper foil categories set to be developed by some companies(generally from lithium foil to PCB foil).The secretariat of China Electronics Materials Industry Association e-copper foil branch conducted in March,2017 an extensive and in-depth

Reusable electronic products value prediction based on reinforcement learning

With the appearance of a huge number of reusable electronic products,the precise value evaluation has become an urgent problem to be solved in the recycling process.Traditional methods rely on manual intervention mostly.In order to make the model more suitable for the dynamic updating,this paper proposes the reinforcement learning based electronic products value prediction model which integrates market information to achieve timely and stable prediction results.The basic attributes and depreciation attributes of the product are modeled by two parallel neural networks separately to learn the different effects for prediction.Most importantly,the double deep Q network is adopted to fuse market information by reinforcement learning strategy,and the training on the old product data can be used to predict the following appeared product,which alleviates the cold start problem.Experiments on the real mobile phone recycling platform data verify that the model has achieved higher accuracy and it has a better generalization ability.