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2022 ◽  
Vol 28 (1) ◽  
pp. 65-67
Author(s):  
Bo Yu

ABSTRACT Introduction: The performance of basketball players is based on physical function and quality. In addition to genetic factors, physical function can also be improved through acquired training. Objective: The article analyzes the concept of body movement through literature data and a questionnaire survey. Methods: This article analyzes the mechanical characteristics of basketball technology from the perspective of physiology and proposes methods to develop the strength of basketball players. Results: Through the activation of different training actions, controlling the muscles that maintain the stability of the limbs to adjust body balance is beneficial to improvement of the coordination and sensitivity of the muscles. Conclusion: Pay attention to the principle of incremental load, the SAID principle, and comprehensiveness in strength training. The training method adopted is helpful to the improvement of the athlete’s aerobic metabolism. Level of evidence II; Therapeutic studies - investigation of treatment results.


2022 ◽  
Vol 210 ◽  
pp. 110087
Author(s):  
Yi-Bo Li ◽  
Qing-Huan Deng ◽  
Tao Huang ◽  
Ya-Qian Zhang ◽  
Wanfen Pu ◽  
...  

2022 ◽  
Vol 374 ◽  
pp. 131780
Author(s):  
Ana Simovic ◽  
Sophie Combet ◽  
Tanja Cirkovic Velickovic ◽  
Milan Nikolic ◽  
Simeon Minic
Keyword(s):  

Author(s):  
Mojtaba Khanalizadeh Eini ◽  
Maziar Mirhosseini Moghaddam ◽  
Abdolreza Tavakoli ◽  
Behnam Alizadeh

Fuel ◽  
2022 ◽  
Vol 312 ◽  
pp. 122823
Author(s):  
Quan Luu Manh Ha ◽  
Hanan Atia ◽  
Carsten Kreyenschulte ◽  
Henrik Lund ◽  
Stephan Bartling ◽  
...  

Author(s):  
I. M. Grod ◽  
I. V. Zagorodniuk ◽  
L. O. Shevchyk ◽  
N. Ya. Kravets

Monitoring and predicting the dynamics of abundance of species living in natural habitats is an important component stability analysis of ecosystem as well as dynamics and direction of change of biotic communities under global climate change and pressure of the alien species. The aim of the work was to build a matrix model and study the state of stabilisation of the dynamics of the bank vole population within the Leslie model. The object of the study was the population dynamics of Myodes glareolus Schreber, 1780 = Clethrionomys glareolus auct. The study is based on materials obtained during 2017–2019. This period covered one phase of the long-term population dynamics of the bank vole, named “population growth”. The research was carried out according to generally accepted methods. A total of 6400 trap-days were processed, and 358 forest fistulas were collected and studied. The intensity of harmful activity of rodents is due to the variability of the number of animals in the population. The quantitative population changes are the result of three factors: births, deaths, and migrations. The main condition for the existence of the species is the stability of the population, which is determined by the action of thecompensatory mechanisms. The growth phase of the bank vole lasted all three years of the research, the quantitative indicators were respectively: 2017 – 1.8 individuals per 100 trap-days; 2018 – 2.0 individuals per 100 trap-days; 2019 – 2.7 individuals per 100 trap-days. Low levels of the abundance in the spring of each year of the study, namely at the beginning of the breeding season (3.7 – 2.6 – 8.9 individuals per 100 trap-days). Favourable for the abundance growth was the sex ratio of the population (approximately 1:1), with some rise in the share of females, which decreases on the period of spring 2018 to autumn 2019). Some decrease in the share of immature individuals (4.5 – 3.9 – 3.1 %) is an indirect confirmation of the stability of puberty of animals with subsequent replenishment of the "stock", which led to accelerated reproduction and, consequently, provided prerequisites for further population growth. The causal mechanisms of population control established by us, without a doubt, can serve as a basis for further prognosis, of the number of pests in natural habitats. To predict population changes, the Leslie model, which is widely used in mathematical analyses of the abundance of both plant and animal groups, was chosen. The algorithm for building a matrix model, detailed in the article, has five following steps. The exponential nature of the actual and projected growth of the bank vole population during the five-year cycle (2017–2019 with a prognosis until 2023) revealed in the analysis can be explained not so much by the power of the species' reproductive potential as by the lack of the significant changes in habitat, caused by constant weather conditions, low individual mortality from predators and non-communicable diseases or other accidents. The application of the matrix model allowed to confirm the key role of the main compensatory mechanisms of population dynamics, as they contribute to the stabilisation of the population and, as a consequence, are an important condition for the existence of the species.


2022 ◽  
Vol 16 (2) ◽  
pp. 1-18
Author(s):  
Xueyuan Wang ◽  
Hongpo Zhang ◽  
Zongmin Wang ◽  
Yaqiong Qiao ◽  
Jiangtao Ma ◽  
...  

Cross-network anchor link discovery is an important research problem and has many applications in heterogeneous social network. Existing schemes of cross-network anchor link discovery can provide reasonable link discovery results, but the quality of these results depends on the features of the platform. Therefore, there is no theoretical guarantee to the stability. This article employs user embedding feature to model the relationship between cross-platform accounts, that is, the more similar the user embedding features are, the more similar the two accounts are. The similarity of user embedding features is determined by the distance of the user features in the latent space. Based on the user embedding features, this article proposes an embedding representation-based method Con&Net(Content and Network) to solve cross-network anchor link discovery problem. Con&Net combines the user’s profile features, user-generated content (UGC) features, and user’s social structure features to measure the similarity of two user accounts. Con&Net first trains the user’s profile features to get profile embedding. Then it trains the network structure of the nodes to get structure embedding. It connects the two features through vector concatenating, and calculates the cosine similarity of the vector based on the embedding vector. This cosine similarity is used to measure the similarity of the user accounts. Finally, Con&Net predicts the link based on similarity for account pairs across the two networks. A large number of experiments in Sina Weibo and Twitter networks show that the proposed method Con&Net is better than state-of-the-art method. The area under the curve (AUC) value of the receiver operating characteristic (ROC) curve predicted by the anchor link is 11% higher than the baseline method, and [email protected] is 25% higher than the baseline method.


2022 ◽  
Vol 34 (3) ◽  
pp. 0-0

The study aims to establish a platform-based enterprise credit supervision mechanism, and combined with big data, accurately evaluate the credit assets of enterprises under the influence of social stability risk, and improve the ability of enterprises to deal with risks. Using descriptive statistical methods, the study shows that most local enterprises exist in the form of micro loans, which promotes the development of local economy to a certain extent, but it is a vicious cycle of economic development; The overall prediction accuracy of the single enterprise risk assessment model under the influence of social stability risk is 65%. Compared with the single algorithm, the prediction accuracy of the integrated algorithm model is significantly improved, and the prediction accuracy can reach 83.5%, the standard deviation of data prediction is small, and the stability of the model is high.


2022 ◽  
Vol 3 (1) ◽  
pp. 1-10
Author(s):  
Damian Bzinkowski ◽  
◽  
Tomasz Ryba ◽  
Zbigniew Siemiatkowski ◽  
Miroslaw Rucki ◽  
...  

The paper presents a novel system for monitoring of the work of industrial belt conveyor. It is based on the strain gauges placed directly on the roller surface that measure pressing force of the belt on the roller. Automatical operation of the measurement system minimizes impact of an operator on the measurement results. Experimental researches included the stability of indications during 5 days, Type A uncertainty estimation and equipment variation EV calculations. Expanded uncertainty calculated for the level of confidence 95% was below 0.1% of the actually measured value, and percentage repeatability %EV = 9.5% was obtained. It can be considered satisfactory, since usually it is required %EV < 10% for new measurement systems.


2022 ◽  
Vol 3 (1) ◽  
pp. 1-10
Author(s):  
Damian Bzinkowski ◽  
◽  
Tomasz Ryba ◽  
Zbigniew Siemiatkowski ◽  
Miroslaw Rucki ◽  
...  

The paper presents a novel system for monitoring of the work of industrial belt conveyor. It is based on the strain gauges placed directly on the roller surface that measure pressing force of the belt on the roller. Automatical operation of the measurement system minimizes impact of an operator on the measurement results. Experimental researches included the stability of indications during 5 days, Type A uncertainty estimation and equipment variation EV calculations. Expanded uncertainty calculated for the level of confidence 95% was below 0.1% of the actually measured value, and percentage repeatability %EV = 9.5% was obtained. It can be considered satisfactory, since usually it is required %EV < 10% for new measurement systems.


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