Experimental Research of Body Functional Training on Promoting Physical Quality of College Students

After being introduced into China, body functional training has been widely applied to the training of high-level athletes (Wang & Liu, 2014; Cui & Qiu, 2013). However, it is still in the exploratory stage in college teaching. In this research, body functional training was designed for the physical characteristics of ordinary college students, and the physical health status of students was monitored in order to understand the promoting effect of body functional training on college students\u27 physical quality. It also provides theoretical and data support for the continuous improvement of body functional training courses. The research process was approved by the institutional review board of Zhengzhou University. Participants were 50 freshmen (non-physical education major, 17-19 years) enrolled into a college in central China. Among them, 25 students (13 female students and 12 male students) were selected as one group. The experimental group and the control group were given body functional training and normal physical exercise for 12 weeks (2 times a week, 1 hour each time), while the other physical activities of each group were the same. Physical fitness test and physical fitness item test were conducted before and after the experiment. SPSS 22.0 statistical software was used to conduct paired T-test on the data before and after the experiment, and independent sample T-test was conducted on the data before and after the experiment. In terms of physical health, there was no significant difference in body weight and forced vital capacity in the control group (P \u3e 0.05), but significant change in body weight (P \u3c 0.05) and significant increase in FVC (P \u3c 0.01) were observed in the experimental group. From the perspective of physical fitness, the results of the control group showed an improvement trend but not reached a statistical significance (P \u3e 0.05), while the flexibility of the experimental group showed a very significant change (P \u3c 0.01), the strength of lower limbs and upper limbs increased significantly (P \u3c 0.05), and the endurance improved significantly (P \u3c 0.05). The differences between the experimental group and the control group were statistically significant. Body functional training can improve the physical fitness of college students and has a positive effect on improving their physical fitness. In addition, body functional training can be used as an effective training method in college physical education. However, due to the limited of time and ability, experiments were conducted for only 12 weeks, future researchers could make more detailed studies on this training method

MPI-Flow: Learning Realistic Optical Flow with Multiplane Images

The accuracy of learning-based optical flow estimation models heavily relies on the realism of the training datasets. Current approaches for generating such datasets either employ synthetic data or generate images with limited realism. However, the domain gap of these data with real-world scenes constrains the generalization of the trained model to real-world applications. To address this issue, we investigate generating realistic optical flow datasets from real-world images. Firstly, to generate highly realistic new images, we construct a layered depth representation, known as multiplane images (MPI), from single-view images. This allows us to generate novel view images that are highly realistic. To generate optical flow maps that correspond accurately to the new image, we calculate the optical flows of each plane using the camera matrix and plane depths. We then project these layered optical flows into the output optical flow map with volume rendering. Secondly, to ensure the realism of motion, we present an independent object motion module that can separate the camera and dynamic object motion in MPI. This module addresses the deficiency in MPI-based single-view methods, where optical flow is generated only by camera motion and does not account for any object movement. We additionally devise a depth-aware inpainting module to merge new images with dynamic objects and address unnatural motion occlusions. We show the superior performance of our method through extensive experiments on real-world datasets. Moreover, our approach achieves state-of-the-art performance in both unsupervised and supervised training of learning-based models. The code will be made publicly available at: \url{https://github.com/Sharpiless/MPI-Flow}.Comment: Accepted to ICCV202

Antidiabetic activity of isoquercetin in diabetic KK -Ay mice

<p>Abstract</p> <p>Background</p> <p>Tartary buckwheat bran is an important natural source of quercetin and isoquercetin. Quercetin and isoquercetin are both powerful α-glucosidase inhibitors. Although the IC₅₀of isoquercetin as α-glucosidase inhibitor was much higher than that of quercetin, the bioavailability of isoquercetin was higher than that of quercetin. Hence, we are interested in the antidiabetic effect of isoquercetin in diabetic KK -A^ymice.</p> <p>Methods</p> <p>The hypoglycemic effect of isoquercetin in a type 2 diabetic animal model (KK-A^ymice) was studied. Isoquercetin was administrated at doses of 50, 100 and 200 mg/kg for 35 days.</p> <p>Results</p> <p>It was found that fasting blood glucose concentration was decreased with the 200 mg/kg group (<it>p </it>< 0.01) the most efficient compared with the diabetic control group. In addition, there was significant decrease in plasma C-peptide, triglyceride, total cholesterol and blood urea nitrogen levels after 35 days. Meanwhile, glucose tolerance was improved, and the immunoreactive of pancreatic islets β-cells was promoted.</p> <p>Conclusions</p> <p>These results suggest that isoquercetin had a regulative role in blood glucose level and lipids, and improved the function of pancreatic islets. Isoquercetin may be useful in the treatment of type 2 diabetes mellitus.</p

The Use of Solution-Focused Brief Therapy in Chinese Schools: A Qualitative Analysis of Practitioner Perceptions

Solution-focused brief therapy (SFBT) is a strengthens-based, future-oriented approach that has received promising results over the past decade. Literature on SFBT has demonstrated the approach’s ability to meet the unique needs of various client populations while adapting to a variety of service delivery settings. Schools are a specific setting in which SFBT has been successfully utilized in the United States. With the growing popularity of SFBT, countries outside to the United States are beginning to implement SFBT in their schools. This article explored perceptions of the use of SFBT in schools amongst Chinese mental health practitioners. A survey was conducted by the Chinese government and included 134 participants. The qualitative results showed the Chinese practitioners have a strong interest in the strengths-based approach and feel that SFBT is culturally-adaptive to the Chinese student population. However, the practitioners are not confidently able to utilize SFBT techniques. The Chinese practitioners related the lack of confidence to a lack of SFBT focused training and professional develop opportunities. As SFBT research and practice continues to grow in China, the need for affordable, accessible SFBT trainings and supervision grows as well

Remediation of Heavy Metal Contamination in Calcareous Soil by Washing with Reagents: A Column Washing

AbstractThis paper presents an evaluation of different dose of HCl and Na2EDTA for the removal of Cd and Pb contaminated calcareous soil in the column mode. The field soil contained high concentrations of DTPA-extractable Cd (12.82mg kg-1) and Pb (105.38mg kg-1). Both HCl and Na2EDTA were found to be effective on removing DTPA-extractable Cd, but low concentration of HCl was ineffective on removing DTPA-extractable Pb and the highest removal efficiency of DTPA-extractable Pb washed by optimal dose of Na2EDTA was only 45.39%. In order to effectively and economically remove both metals from the contaminated soil, a sequential use of the optimal dose of HCl followed by the optimal dose of Na2EDTA was tested and 87.3% and 73.2% removal efficiency were obtained for DTPA-extractable Cd and Pb, respectively. Compared to using single washing agent, the removal efficiencies of DTPA-extractable Cd and Pb for the sequential washing with HCl followed by Na2EDTA were increased more than 8.3% and 27.92%, respectively. Results of soil extractions experiments revealed that the predominant fraction of the removed Cd and Pb were Fe/Mn oxide fraction and carbonate fraction. Trace metals in leachate collected from sequential washing was successfully precipitated and the leachate was safe for discharge

Small-Molecule Electron Acceptors for Efficient Non-fullerene Organic Solar Cells

The development of organic electron acceptor materials is one of the key factors for realizing high performance organic solar cells. Compared to traditional fullerene acceptor materials, non-fullerene electron acceptors have attracted much attention due to their better optoelectronic tunabilities and lower cost as well as higher stability. Non-fullerene organic solar cells have recently experienced a rapid increase with power conversion efficiency of single-junction devices over 14% and a bit higher than 15% for tandem solar cells. In this review, two types of promising small-molecule electron acceptors are discussed: perylene diimide based acceptors and acceptor(A)-donor(D)-acceptor(A) fused-ring electron acceptors, focusing on the effects of structural modification on absorption, energy levels, aggregation and performances. We strongly believe that further development of non-fullerene electron acceptors will hold bright future for organic solar cells

Multi-decadal trends in global terrestrial evapotranspiration and its components

Evapotranspiration (ET) is the process by which liquid water becomes water vapor and energetically this accounts for much of incoming solar radiation. If this ET did not occur temperatures would be higher, so understanding ET trends is crucial to predict future temperatures. Recent studies have reported prolonged declines in ET in recent decades, although these declines may relate to climate variability. Here, we used a well-validated diagnostic model to estimate daily ET during 1981–2012, and its three components: transpiration from vegetation (Et), direct evaporation from the soil (Es) and vaporization of intercepted rainfall from vegetation (Ei). During this period, ET over land has increased significantly (p < 0.01), caused by increases in Et and Ei, which are partially counteracted by Es decreasing. These contrasting trends are primarily driven by increases in vegetation leaf area index, dominated by greening. The overall increase in Et over land is about twofold of the decrease in Es. These opposing trends are not simulated by most Coupled Model Intercomparison Project phase 5 (CMIP5) models, and highlight the importance of realistically representing vegetation changes in earth system models for predicting future changes in the energy and water cycle

Fault Troubleshooting Using Bayesian Network and Multicriteria Decision Analysis

Fault troubleshooting aims to diagnose and repair faults at the highest efficacy and a minimum cost. The efficacy depends on multiple criteria like fault probability, cost, time, and risk of a repair action. This paper proposes a novel fault troubleshooting approach by combining Bayesian network with multicriteria decision analysis (MCDA). Automobile engine start-up failure is used as a case study. Bayesian network is employed to establish fault diagnostic model for reasoning and calculating standard values of uncertain criteria like fault probability. MCDA is adopted to integrate the influence of the four criteria and calculate utility value of the actions in each troubleshooting step. The approach enables a cost-saving, high efficient, and low risky troubleshooting