19 results match your criteria: "Physical Education College of Zhengzhou University[Affiliation]"

Colonoscopy is a reliable diagnostic method to detect colorectal polyps early on and prevent colorectal cancer. The current examination techniques face a significant challenge of high missed rates, resulting in numerous undetected polyps and irregularities. Automated and real-time segmentation methods can help endoscopists to segment the shape and location of polyps from colonoscopy images in order to facilitate clinician's timely diagnosis and interventions.

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Article Synopsis
  • * The study reveals that as the concentration of bovine serum albumin (BSA) increases, the size of AgNPs first decreases and then increases, indicating a complex interaction.
  • * Additionally, humic acid (HA) influences AgNP size, with increased HA leading to larger particle sizes, and when both HA and BSA are present, HA takes precedence in binding to AgNPs, affecting their behavior.
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Introduction: Numerous studies have found that expert players anticipate better than novices. If more accurate prediction represents performance monitoring of experts, what are the advantages of elite basketball players in identifying and processing available cues? There is still a lack of sufficient evidence. This study examined the visual search in basketball players and explored the performance monitoring of action anticipation, adopting an expert-novice paradigm and eye-movement technology.

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The hypermobility of the first tarsometatarsal joint has been identified as a key factor in the development of hallux valgus. Previous research found a link between the tarsometatarsal joint obliquity and the hallux valgus angle. Nevertheless, most studies relied on radiographs that lack 3D evidence.

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To investigate the effects of moderate intensity continuous training (MICT) and high intensity intermittent training (HIIT) on the ultrastructure of myocardium and soleus in rats with high fat diet, and to explore the mechanisms. 5-week-old male SD rats were randomly divided into normal diet quiet group (C), high-fat diet quiet group (F), high-fat MICT group (M) and high-fat HIIT group (H), with 8 rats in each group, and the fat content of the high-fat dietary feed was 45%. The M and H groups were given 12 weeks of treadmill running with an incline of 25°.

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Physical activity is known to confer numerous health benefits. However, few studies have assessed the prolonged impact of participation in different sports on health and fitness. The purpose of this cross-sectional study was to compare the impact of long-term participation (i.

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This study designs a travel recognition and scheduling system using artificial intelligence and image segmentation techniques. To address the problem of low division quality of current point division algorithms, this study proposes a streaming graph division model based on a sliding window (GraphWin), which dynamically adjusts the amount of information (vertex degree information and adjacency information) referenced at each division according to the current division quality and division time by introducing a sliding window mechanism, to achieve the highest possible division while allowing loss of certain division efficiency. The goal is to improve the division quality as much as possible while allowing a certain loss of division efficiency.

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Educational innovation reform is used as the background. In response to the need to propose innovative educational programs, the concepts of Distributed Deep Neural Network (DDNN) and deep learning under edge computing are used as the basis. A teaching program for Science Technology Engineering Mathematics (STEM) is proposed.

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The digital age of artificial intelligence marks the rapid development of tourism engineering and the gradual improvement of intelligent management theory. This study aims to solve the problems of low efficiency of dynamic relationship analysis and low data utilization in traditional intelligent management methods of tourism engineering. This work studies the dynamic optimization model of tourism engineering management theory based on the artificial intelligence data analysis model and designs the dynamic analysis model of tourism engineering management data based on the convolution neural network.

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The purpose of this study was to analyze the current situation of the entrepreneurial consciousness of college student entrepreneurs and to explore the role of innovative and entrepreneurial talents in social and economic development. Based on the teaching concept of Chinese excellent traditional culture, first, the relevant theories of innovation and entrepreneurship, as well as the characteristics of entrepreneurial talents in colleges and entrepreneurs, are analyzed and elaborated; moreover, the definition of college student entrepreneur is explained; then, from the perspective of entrepreneurial teaching management, entrepreneurial education, and place support, the questionnaire method is selected to show the understanding of the entrepreneurship of college students; finally, based on the Cobb-Douglas function, the model before and after the introduction of innovative and entrepreneurial talents is tested and analyzed. Investigation and analysis suggest that most college students have entrepreneurial intention, and 61.

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Background: Concerning the judgments bias and cue utilization in basketball athletes, previous shot anticipation tasks were hard to examine in regards to whether the experts' judgement bias relies more on the cue of the player's body or the ball trajectory.

Methods: Four types of body-ball cues shots were employed: IN-IN, IN-OUT, OUT-IN, and OUT-OUT. Four temporal stages (i.

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Studies have found that athletes outperformed non-athletes in mental rotation tasks with both object-based and egocentric transformations (ET), but the effect of sport expertise on the processing stages (i.e., perceptual stage, rotation stage, and decision stage) remains conflicted.

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Background: Dynamic visual attention is important in basketball because it may affect the performance of players and thus the match outcome. The goals of this study were to investigate the difference in dynamic visual attention characteristics between highly skilled basketball players and nonathletic college students and to explore the relationship between visual attention and game-related performance among the basketball players.

Methods: In total, 24 highly skilled basketball players and 24 nonathletic college students participated in a multiple object tracking task.

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The purpose of this study was to investigate the effects of physical exercise tapping high-level cognitive functions on both cognitive function and fitness in older adults. In total, 96 healthy older adults took part in the study. Participants were randomly assigned to four groups: a cognitive training group (CG), physical exercise group (PG), simultaneous cognitive training and physical exercise group (C+PG), and the healthy control group (HG; received physical exercise materials but did not participate in a cognitive or exercise programme).

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A selective effect of motor expertise on mental rotation is revealed by a high correlation between the performance of sports experts and ability on a mental rotation task. Evidence is shown by studies involving a spatial factor, such as image interference or a movement constraint. Alternatively, the time constraint, as another performance factor, is considered critical in the effect of sport expertise on mental rotation.

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Background: Duration perception is an essential part of our cognitive and behavioral system, helping us interact with the outside world. An integrated model of timing, which states that the perceived duration of a given stimulus is based on the efficiency of information extraction, was recently set forth to improve current understanding of the representation and judgment of time. However, the prediction from this model that more efficient information extraction results in longer perceived duration has not been tested.

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The purpose of the present cross-sectional study was to clarify the effects of sport expertise and shot results on the action anticipation of basketball players. Eighty-eight male subjects participated in this study, namely, 30 collegiate basketball players, 28 recreational basketball players and 30 non-athletes. Each participant performed a shot anticipation task in which he watched the shooting phase, rising phase, high point and falling phase of a free throw and predicted the fate of the ball.

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The purpose of this study is to investigate the effects of different types of acute exercise on cognitive function and cerebral oxygenation. A within-subject design was adopted. In total, 20 healthy older adults were enrolled in the study.

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Aiming at the characteristics that electromyography (EMG) signals can reflect the human body's motive intention and the information of muscle's motive state, this paper makes a thorough study on the evaluation of surface electromyography signals' motive state. At the same time, EMG signals can reflect the characteristics of limb movement and its changing rules, and can acquire the functional characteristics of limb movement so as to accurately evaluate the rehabilitation status of patients. In this paper, EMG signal analysis and feedback control are introduced into the virtual rehabilitation system to study the methods of EMG parameter identification and dynamic feature extraction, and obtain the EMG characteristics and variation rules related to human motion patterns.

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