Effects of plastic covering methods on the growth and yield of potatoes in winter fallow rice fields in Hunan

Hu, Xinxi; Liu, Mingyue; He, Changzheng; Yong, Song Han; Jiang, Linghong; Xiong, Xingyao

doi:10.3724/sp.j.1238.2013.00500

Cited by 4 publications

(4 citation statements)

References 10 publications

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“…To measure attention control, we used the Attention Control Scale ( 62 ), which was translated into the Chinese version by Siying He ( 63 ). The questionnaire has two dimensions: focusing (9 items) and shifting (11 items).…”

Section: Methodsmentioning

confidence: 99%

The effect of mindfulness on social media addiction among Chinese college students: A serial mediation model

Chang

Meng

et al. 2023

Front. Psychiatry

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IntroductionThe COVID-19 pandemic has exacerbated social media addiction (SMA), making it urgent to find effective interventions for social media addiction. Evidence has shown that mindfulness might be an effective intervention for social media addiction. However, psychological mechanisms by which mindfulness reduce social media use remain unclear. Here, we further addressed this issue to examine whether attentional control and fear of missing out (FOMO) mediate the relationship between mindfulness and SMA.MethodsWe recruited 446 college students from two universities in China and analyzed the data.ResultsThe results suggest that there are mediation effects of attentional control and FOMO between mindfulness and SMA through 3 paths: path 1, mindfulness → attention control → SMA (−0.04); path 2, mindfulness → FOMO → SMA (−0.22); and path 3, mindfulness → attention control → FOMO → SMA (−0.05).DiscussionTherefore, mindfulness-based interventions may be an effective way to alleviate social media addiction, especially mindfulness-based interventions targeting FOMO. At the end of the article, we also discussed the limitations of this study.

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Section: Methodsmentioning

confidence: 99%

The effect of mindfulness on social media addiction among Chinese college students: A serial mediation model

Chang

Meng

et al. 2023

Front. Psychiatry

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“…Children will pay attention to the social identity of the recipient when allocating resources. For example, Hu (2021) found that both positive peer relationships (good friends) and negative peer relationships (disliked individuals) can affect the equal resource allocation of 4-6 year old children. However, we do not divide the experimental children's internal and external groups and examine their effects on children's distributive behavior.…”

Section: Peer Relationshipmentioning

confidence: 99%

Factors of children's allocation behavior: peer relationship and resource quantity as the main determinants

Chen,

Zhu

2024

Front. Psychol.

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This study investigated the resource allocation of Chinese sixth-graders and the role of peer relationship in different resource conditions (N = 132, Mage = 11. 35 years, SD = 0.60). We designed the resource quantity as a between-group variable, with one group participating in a resource-limited experiment and another group in a resource-abundant experiment. Both groups of children allocated token resources to three types of peers relationships: good friends, disliked individuals, and strangers. Based on our experimental hypotheses, we presupposed three experimental outcomes: selfish allocation, equal allocation, and altruistic allocation. To analyze the data, we employed multivariate unordered regression analysis and performed two rounds of regression analyses using both selfish and altruistic allocations as reference categories to enhance the statistical power of regression model. Our results reveal that the resource quantity had a significant hindering effect on children's allocation behaviors, as the amount of available resources for allocation increased, so did their willingness to allocate selfishly. It was also found that an increase in resources led to a decrease in the proportion of children allocating equally. Nonetheless, the results still revealed generalized peer relationship preferences: children tended to allocate more resources to friends than to individuals they disliked. But when faced with disliked individuals, they were relatively more likely to allocate equally. Finally, we observed the proportion of equal allocation and discussed the similar impact of inequality aversion, different allocation contexts, and children's theory of mind on equitable allocation among sixth-graders.

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“…Based on the generalized linear model and the data series inference method, Liu, H. and Peng, Z concluded that every 2 standard deviation shots can increase the team's winning rate by 16.3%, the number of shots on target with 2 standard deviations can increase by 33.8%, the increase of 2 standard deviation passes, pass success rate and through plug can bring 21.6%, 27.3% and 16.9% to the team's probability of winning, and the number of fouls with 2 standard deviations will reduce the probability of winning by 25.4% [4]. When it comes to the football games in Europe, Hu, Z. studied the technical and tactical aplication of Euro 2008, and showed that the mid-range pass was the most effective pass to launch an attack, the cross was the most effective way to assist the goal, the midfield steal was the focus of cutting off the oponent's rapid attack, and the goalkeeper's save was the key to winning or losing the game [5]. Liu, H. analyzed Leicester City in the 15-16 championship season and found that Leicester City is a team with distinct overall offensive tactics, mainly in a 4-4-2 formation, focusing on wing attacks, and combining effective attacks in the middle [6].…”

Section: Introductionmentioning

confidence: 99%

Neural Network Based Technical Analysis of Football Games

2024

IJECS

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Football is the most famous sports in the world, and English Premier League is the number one league in the world for three consecutive years (Fédération internationale de football association, FIFA). It is always interesting to apply technical analysis to understand what makes the best football player and football team. In this article, we try to answer the question "what kind of tactical play is the most advanced" through statistical analysis on the game data of English Premier League in the 21-22 season. To be more specific, firstly, we applied descriptive statistics to analyze the technical and tactical play of each team, and then screen out the technical and tactical indicators that significantly affect the outcome of the game through one-way analysis of variance (ANOVA) and discriminate analysis, and the preliminary target conclusions were obtained. BP neural network was then carried out to predict the rankings of the Premier League teams by using the indicators selected by ANOVA and discriminant analysis, as input value. BP neural network prediction model is then established to predict the ranking of each team in the 22-23 season. A general conclusion and make suggestions on the planning of the technical and tactical playing methods of our country's youth soccer sports.

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Effects of plastic covering methods on the growth and yield of potatoes in winter fallow rice fields in Hunan

Cited by 4 publications

References 10 publications

The effect of mindfulness on social media addiction among Chinese college students: A serial mediation model

The effect of mindfulness on social media addiction among Chinese college students: A serial mediation model

Factors of children's allocation behavior: peer relationship and resource quantity as the main determinants

Neural Network Based Technical Analysis of Football Games

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