Chinese mind-body exercises are positively associated with executive function, but their effects on EF, from synthesized evidence using systematic and meta-analytic reviews, have not been conducted. Therefore, the present systematic review with meta-analysis attempted to determine whether CMBEs affect EF and its sub-domains, as well as how exercise, sample, and study characteristics moderate the causal relationship between CMBEs and EF in middle-aged and older adults. Seven electronic databases were searched for relevant studies published from the inception of each database through (...) June 2020. Randomized controlled trials with at least one outcome measure of CMBEs on EF in adults of mean age ≥ 50 years with intact cognition or mild cognitive impairment and with or without chronic diseases were included. A total of 29 studies ultimately were included in this study. The results indicated that CMBEs improved overall EF, as well as its sub-domains of working memory and shifting. The beneficial effects of CMBEs on EF occurred regardless of type, frequency of group classes, session time, total training time, and length of the CMBEs, in addition to that more frequent participation in both group classes and home practice sessions resulted in more beneficial effects. The positive effects of CMBEs on EF were also demonstrated, regardless of participants mean age, sex, and cognitive statuses, health status, as well as training mode and study language. This review thus suggests that CMBEs can be used as an effective method with small to moderate and positive effects in enhancing EF, and that more frequent group classes and home practice sessions may increase these effects. However, certain limitations, including strictly design studies, limited ES samples for specific variables, and possible biased publications, required paying particular attention to, for further exploring the effects of CMBEs on EF. (shrink)

Part 1. Human capability in light of God's power -- Divine power and the creation -- God's will and human destiny -- Part 2. Human capability to understand God -- Human knowledge -- Human knowledge of God -- Part 3. Human capability in relation to doctrinal ordination -- Criteria of Christian authorities -- Philosophical freedom and doctrinal minimalism : two test cases -- Conclusion.

Mathematics is an important foundation for the development of science education. In the past, when instructors taught mathematical concepts of geometry shapes, they usually used traditional textbooks and aids to conduct teaching activities, which resulted in students not being able to understand the principles completely. Nowadays, it has become a trend to integrate emerging technologies into mathematics courses and to use digital instructional aids. Emerging technologies can effectively enhance students’ sensory experience while strengthening their impressions and understandings of subject concepts. (...) In this paper, we apply virtual reality immersive technologies to develop a “virtual reality immersive learning mathematics geometry system,” which is used to teach mathematical geometry concepts. Teachers use the system to develop three basic mathematical geometry learning materials: “Triangular pyramid volume = 1/3 prism volume,” “Cone volume calculation,” and “Triangle center of gravity derivation.” In the experimental activity, the teacher uses virtual reality teaching aids to guide students to learn mathematical geometry concepts in a fun way so that they can achieve the effectiveness of immersive learning. This study explores the impact of using the virtual reality immersive learning mathematics geometry system on students’ technology acceptance, learning motivations, and learning performance. The experimental result showed that using the virtual reality immersive learning mathematics geometry system can improve the learning motivation and learning performance of students. The findings indicated that the experimental group had better learning outcomes after completing the learning tasks of three geometric units. The experimental group used the virtual reality immersive learning mathematics geometry system which can lead to better learning outcomes. According to the ARCS questionnaire, students in the experimental group were confident to understand new subjects. At the same time, the mode of completing the game can effectively give students a sense of accomplishment. The use of emerging technologies in the classroom can be an attractive learning mode for students. (shrink)

The twenty-first century is arguably the century of computing. In such a world saturated by computing, Computational Thinking is now recognized as a foundational competency for being an informed citizen and being successful in STEM work. Nevertheless, how to effectively import different types of teaching methods in university courses is subjected to further evaluation. Currently, the arguments in favor of tangible robots including high interaction, great practicality, and specific operation results make themselves to be often used as a teaching medium (...) and tool for teaching activities between teachers and students. Hence, in addition to cultivating students with computational thinking ability, this paper discussed how to integrate tangible robots into project-based learning courses of thinking skills training to improve the learning performance of the computational thinking ability. This study conducted in one semester on the 105 students from three classes. Experimental results show that the project-based learning method integrated with the teaching material of robotic visual programs approach had significantly better effectiveness in improving students' learning achievements than the traditional teaching method integrated with paper practice teaching materials approach. Analysis of the questionnaire results showed that the proposed learning approach did not increase the students' cognitive burden. In sum, the proposed approach helps students' learning achievement and cognitive load. (shrink)

End-of-life decision making frequently occurs in the intensive care unit (ICU). There is a lack of information on how a do-not-resuscitate (DNR) order affects treatments received by critically ill patients in ICUs. The objectives of this study were: (1) to compare the use of life support therapies between patients with a DNR order and those without; (2) to examine life support therapies prior to and after the issuance of a DNR order; and (3) to determine the clinical factors that influence (...) the initiation of a DNR order in ICUs in Taiwan. A prospective, descriptive, and correlational study was conducted. A total of 202 patients comprising 133 (65.8%) who had a DNR order, and 69 (34.1%) who did not, participated in this study. In the last 48 hours of their lives, patients who had a DNR order were less likely to receive life support therapies than those who did not have a DNR order. Older age, being unmarried, the presence of an adult child as a surrogate decision maker, a perceived inability to survive ultimate discharge from the ICU, and longer hospitalization in the ICU were significant predictors of issuing a DNR order for critically ill patients. This study will draw attention to how, when, and by whom, critically ill patients’ preferences about DNR are elicited and honored. (shrink)

We investigate how firms adjust corporate pension plans in response to economic policy uncertainty (EPU). Using a sample of US-listed firms, we find that firms increase pension underfunding levels when facing higher EPU. The result is robust to controlling for pension portfolio returns, discount rates, plan sizes, pension liability, numbers of employees, other macroeconomic factors, difference-in-differences and instrumental variable estimation, and additional evidence of pension risk-shifting. Further analysis reveals that financial distress and information asymmetry induced through EPU are the potential (...) channels. The effect is stronger for firms having CEOs being excessively paid, using cash flow as a performance metric in CEO compensation, paying high dividends, and having short-term institutional investors, whereas the presence of unions, positive corporate culture, and social capital alleviate the effect. Notably, managers, not shareholders, appear to be the party reaping the benefits. Our findings suggest that firms may shift risk to employees in response to heightened uncertainty and institutional characteristics play a moderating role in this crucial business ethics issue. (shrink)

In recent years, learning materials have gradually been applied to flipped classrooms. Teachers share learning materials, and students can preview the learning materials before class. During class, the teacher can discuss students' questions from their notes from previewing the learning materials. The social media platform Facebook provides access to learning materials and diversified interactions, such as sharing knowledge, annotating learning materials, and establishing common objectives. Previous studies have explored the effect of flipped classrooms on students' learning engagement, attitudes, and performance. (...) In this paper, we apply educational data mining to explore the relationship between students' viewing behaviors in accessing learning materials and their performance in flipped classrooms. The participants are classified into an experimental group and a control group to engage in flipped classroom activities. The experimental group uses the social media platform Facebook for flipped learning, and the control group uses a learning management system for flipped learning. The results show that there is a significant difference in the learning performance between the two groups, with the average score of the experimental group being higher than that of the control group. Furthermore, we find that the viewing behaviors and performance of the students within the experimental group differ significantly. (shrink)

New types of artificial intelligence products are gradually transferring to voice interaction modes with the demand for intelligent products expanding from communication to recognizing users' emotions and instantaneous feedback. At present, affective acoustic models are constructed through deep learning and abstracted into a mathematical model, making computers learn from data and equipping them with prediction abilities. Although this method can result in accurate predictions, it has a limitation in that it lacks explanatory capability; there is an urgent need for an (...) empirical study of the connection between acoustic features and psychology as the theoretical basis for the adjustment of model parameters. Accordingly, this study focuses on exploring the differences between seven major “acoustic features” and their physical characteristics during voice interaction with the recognition and expression of “gender” and “emotional states of the pleasure-arousal-dominance (PAD) model.” In this study, 31 females and 31 males aged between 21 and 60 were invited using the stratified random sampling method for the audio recording of different emotions. Subsequently, parameter values of acoustic features were extracted using Praat voice software. Finally, parameter values were analyzed using a Two-way ANOVA, mixed-design analysis in SPSS software. Results show that gender and emotional states of the PAD model vary among seven major acoustic features. Moreover, their difference values and rankings also vary. The research conclusions lay a theoretical foundation for AI emotional voice interaction and solve deep learning's current dilemma in emotional recognition and parameter optimization of the emotional synthesis model due to the lack of explanatory power. (shrink)

BackgroundThe rating of perceived exertion scales with respiratory and muscular illustrations are recognized as simple and practical methods to understand individual psychometric characteristics in breathing and muscle exertion during exercise. However, the implementation of respiratory and muscular RPE to quantify training load in futsal training camps has not been examined. This study investigates respiratory and muscular RPE relationships during domestic training camps and overseas training camps in an under 20 futsal national team.MethodsData collected from eleven field players were used for (...) comparison in this study. All players reported Borg CR10 RPE and 7-scales respiratory RPE and muscular RPE after training sessions and matches. Additionally, total distance covered and training impulse were used to quantify external and internal loads via the Polar Team Pro system. Paired-sample t-tests were used to compare the RPECR10, RPErespiration, RPEmuscle, TD, and TRIMP between DTC and OTC. Furthermore, linear regression was performed to determine the relationships among all RPE scales, TD, and TRIMP.ResultsThe RPECR10, TD, and TRIMP showed significant difference between DTC and OTC. Furthermore, linear regression analyses showed significant correlation between RPErespiration and RPEmuscle, RPECR10 and RPErespiration, and RPECR10 and RPEmuscle.ConclusionPictorial RPErespiration or RPEmuscle can be used as an alternative to quantify perceived measures of internal loads during DTC and OTC in futsal players. Interpretation of perceived measures of training load and cardiac-related responses in association with external training loads during short-term training camps would be useful in further understanding the demands of futsal players’ experience in these circumstances. (shrink)

本书主要从五个方面对老庄生命哲学进行梳理和阐发.一是老庄生命哲学形成的原因分析.二是老庄的生命本质论.三是老庄的生命价值论.四是老庄的生命过程论.五是老庄的生命境界论.

Photovoltaic power forecasting can provide strong support for the safe operation of the power system. Existing forecasting methods are ineffective for grid scheduling decisions or risk analysis. The novel multicluster interval prediction method is proposed to consider the volatility and randomness of PV power output. First, this method utilizes the sparse autoencoder and Bayesian regularized NARX network for point forecasting of PV power. Second, density peak clustering improved by kernel Mahalanobis distance is applied to classify the dataset into multiple clusters, (...) including forecasting error and meteorological factors. Finally, the joint probability density is established by multivariate kernel density estimation to accomplish the PV power interval prediction. The proposed hybrid method is applied for the interval prediction of PV power at Yulara, Australia. Comparative research of point forecasting is implemented to evaluate the machine learning and deep learning methods, with the proposed SAE-BRNARX under four different periods. Results shows that the average values of nRMSE, MRE, nMAE, and R2 for the four periods are 4.45%, 0.90%, −0.15%, 3.39%, and 95.93%, respectively. Moreover, the results of interval prediction obtained by the other interval prediction approaches are compared with the proposed KMDDPC-MKDE. It shows that the average values of PICP, PINAW, ACE, and nMPICD for four periods are 93.93%, 9.50%, 3.93%, and 7.10% at 90% confidence level, respectively. Outcomes demonstrate that the proposed method can obtain more accuracy, a higher coverage rate, narrower average bandwidth, and a closer distance between the middle of interval and actual value than other methods. (shrink)

Biologists have long known that animal population dynamics are regulated by a combination of bottom-up and top-down forces. Yet, economists have argued that human population dynamics can also be influenced by intraspecific cooperation. Despite awareness of the role of interspecific cooperation in influencing resource availability and animal population dynamics, the role of intraspecific cooperation under different environmental conditions has rarely been considered. Here we examine the role of what we call “lateral forces” that act within populations and interact with external (...) top-down and bottom-up forces in influencing population dynamics using an individual-based model linking environmental quality, intraspecific cooperation, and population size. We find that the proportion of cooperators is higher when the environment is poor and population sizes are greatest under intermediate resources levels due to the contrasting effects of resource availability on behavior and population size. We also show that social populations are more resilient to environmental change than non-social ones because the benefits of intraspecific cooperation can outweigh the effects of constrained resource availability. Our study elucidates the complex relationship between environmental harshness, cooperation, and population dynamics, which is important for understanding the ecological consequences of cooperation. (shrink)

juan 1. Shaoqu Feng xian sheng -- juan 2. Zhongfu Wang xian sheng -- juan 3-4. Erqu Li xian sheng.

本书阐述的是一种独特而圆润的人生哲学,在统揽古今中外人生哲学的基础上提出了自己认为的人生哲学。本书也是一种别开生面的中西简明哲学史,以人生哲学为切入点,对中国古代哲学、西方古典哲学以及欧美现代哲学等提 出了自己的真知灼见。.