Search

Introduction Based on the representative data reflecting the level of physical development and athletic quality, such as the “National Physical Health Test for Students”, it is shown that the physical health status of adolescents and children in China is decreasing annually, and the trend of obesity is gradually increasing. Objective Analyze and study the effect of training on the physical fitness of obese children aged 12 to 14 through school soccer training. Methods The effect of school soccer training on the health and physical fitness of obese children aged 12-14 years was studied, and conclusions were drawn by the literature method, experimental method, mathematical statistical method, and logical analysis method. Forty-eight screened obese children were randomly assigned to the experimental and control groups, 24 in each group. The experimental group underwent 12 weeks of soccer training, and the control group underwent 12 weeks of no training control. The subjects’ body composition and flexibility quality indices were measured post-intervention. Results The visceral fat index, body fat rate, and muscle rate of boys and girls progressed expressively, with a significant difference (P

Heart rate is one of the important indices to calculate and evaluate the intensity and quality of motion. It can scientifically and objectively reflect the intensity level of momentum and exercise in the process of exercise. It is an important index of athletic strength and physical fitness of athletes in college sports training. This paper analyzes the basic metabolic model of the human body and energy supply and demand model and constructs a scientific energy consumption test model for special sports activity. An algorithm for heart rate detection and energy consumption based on acceleration data acquisition is proposed. Therefore, it is proposed to calculate motion acceleration using bone point data obtained from a portable telephone camera sensor for special sports activity and to calculate kinetic energy consumption through detection data. A model for evaluating the proposed algorithm is also established.

Supplemental Digital Content is available in the text, Introduction: The incidence of hepatocellular carcinoma (HCC) ranks sixth in the world, but its mortality is the third highest due to the lack of early diagnostic markers. Nowadays, the increase of autoantibody levels has been found in many cancers, and many studies have begun to pay attention to the detection of anti-p53 antibodies in HCC. The purpose of this study is to quantitatively and comprehensively analyze the potential diagnostic value of anti-p53 autoantibodies in HCC Methods: English articles up to November 2019 were collected. The overall sensitivity and specificity were calculated. Besides, the positive likelihood ratio, negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and summary receiver operating characteristic curves of the overall diagnostic accuracy of anti-p53 antibody were calculated by STATA software. Finally, according to the heterogeneity of the results, the subgroup analysis, and the publication bias were performed. Results: A total of 16 eligible studies were incorporated into this meta-analysis, including 1323 patients with HCC and 1896 control. The pooled sensitivity was 0.28(0.17–0.41) and specificity was 0.98 (0.95–0.99). The pooled DOR was 10.44 (6.31–17.29) and the pooled NLR was 0.74 (0.63–0.86). The area under ROC curve of symmetrical ROC was 0.840. Conclusions: The anti-p53 antibody has a high specificity for HCC, but the low sensitivity is not perfect and would limit the clinical application. The anti-p53 antibody would help rule out HCC but not help rule in HCC for early diagnosis. Whether combined as a diagnostic panel with other biomarkers or laboratory tests may prove useful requires further study.

Both Fe(III)-bearing clay minerals and humic acids (HAs) are abundant in the soils and sediments. Previous studies have shown that bioreduction of structural Fe(III) in clay minerals could be accelerated by adding anthraquinone compound as a redox-active surrogate of HAs. However, a quinoid analogue could not reflect the adsorption and complexation properties of HA, and little is known about the effects of real HAs at environmental concentration on bioreduction of clay minerals. Here, it was shown that 10–200 mg l−1 of natural or artificially synthesized HAs could effectively stimulate the bioreduction rate and extent of Fe(III) in both iron-rich nontronite NAu-2 and iron-deficient montmorillonite SWy-2. After adsorption to NAu-2, electron-transfer activities of different HA fractions were compared. Additionally, Fe(II) complexation by HAs also contributed to improvement of clay-Fe(III) bioreduction. Spectrosopic and morphological analyses suggested that HA addition accelerated the transformation of NAu-2 to illite, silica and siderite after reductive dissolution.

Enrichment of microbial functional consortium is critical to strengthen the performance of bio-electrochemical devices for treating industrial wastewaters. This study described a newly enrichment approach for electrochemically active iron reducing bacteria (IRB) through dosing Fe(III) into a MEC combined anaerobic reactor (R1) for dye wastewater treatment. After 51 days operation, reactor R1 presented the highest performance for the degradation of organic matter and dye as compared to the reference reactors without Fe(III). Subsequently, five isolates were obtained from the anodic biofilm of R1, in which a novel IRB related to Aeromonas hydrophila was selected as a model strain due to its highest Fe(III) reducing ability cyclic voltammetry and microbial fuel cell (MFC) technology showed that the model strain has the electrochemical activity and electricity generation capability. After inoculating this model strain, the decolorization of three dyes also reached over 90% at an initial concentration of 100 mg/L. This study might provide a novel method to enrich electrochemically active IRB in the bio-electrochemical reactor for treating industrial wastewater.

The dark current characterization of In x Ga 1-x As with x =0.78 have been investigated. Meanwhile, the dark current related deep level trap with E t = 0.26 eV is detected by using Deep-Level Transient Spectroscopy (DLTS). 2D simulation of dark current shows that SRH recombination, trap-assisted tunneling and band-to-band tunneling currents are the main contributors to the dark current of In x Ga 1-x As( x=0.78) detector. To further improve the dark current characteristic, we need to improve the material growth.

The dynamic characteristics of an accelerometer’s shell is analyzed. To avoid resonance and subsequent failure, the shell’s natural frequencies and harmonic response are important considerations in structure optimization, for they significantly influence the performance of the sensors. The finite element analysis software ANSYS was applied to get the vibration characteristics of the shell based on the theory of dynamic analysis. The natural frequencies and mode shapes of the shell’s first six modes were calculated by modal analysis. Also, harmonic response analysis of the shell was carried out by the simulation. Thus, the interaction between the shell’s behavior and outside excitation can be predicted, and various design options of the shell can be evaluated in the design period.

Low surface leakage current is one of the prerequistites to reach the low leakage and high efficiencies of mesa type photodiodes. In this paper, we have studied the surface leakage of 2.6 µm mesa InGaAs p–i–n photodetectors by using two different passivation technologies: inductive coupled plasma chemical vapor deposition (ICPCVD) and plasma enhanced chemical vapor deposition (PECVD). It is found that the total leakage current of the detector with ICPCVD technology is significantly reduced compared to that with PECVD technology due to the decrease of the device's surface leakage current. A TCAD-based dark current model further reveals that the reduction of the surface leakage current at the low reverse voltage is about two orders of magnitude. As a result, ICPCVD is the promising deposition technology for SiNx passivation layer on mesa InGaAs photodetectors.

We fabricate 2.6 μm InGaAs photodetectors by MBE technology and study its dark current mechanisms. Deep-level transient spectroscopy (DLTS) demonstrates a deep-level trap located at Ec - 0.25 eV in the absorption layer. Using the trap parameters, a dark current model is constructed and the device simulation generates the dark current characteristic which agrees well with the experimental data. The model suggests that the dark current at low reverse voltage is dominated by the Shockley-Read-Hall (SRH) and trap-assisted tunneling (TAT). Furthermore, it predicts some basic rules for suppressing the dark current in 2.6 μm InGaAs detectors.

The dark current mechanism of extended wavelength InxGa1−xAs photo-detectors is still a debated issue. In this paper, the deep-level transient spectroscopy (DLTS) and dark current characteristics of InxGa1−xAs/InP detectors are investigated. Using trap parameters obtained from DLTS measurement, the device simulations of current-voltage characteristics are carried out by Silvaco Altas. The results reveal that the dark current at the low reverse bias voltage is associated with deep level trap induced trap assisted tunneling and Shockley-Read-Hall generation mechanism. The reduction of the deep level trap concentration in InxGa1−xAs absorption layer could dramatically suppress the dark current near zero bias in extended wavelength InxGa1−xAs/InP detectors.