The experience of family harmony, as an individual's subjective evaluation of harmonious family relations, has an important influence on the development of their physical and mental health. This study aimed to develop the College Students' Experience of Family Harmony Questionnaire that is fit for college students in China. On the basis of literature analysis and survey with questionnaires, five pairs of opposite assessment indexes were constructed in this paper, namely, Atmosphere of family, Responsibility to housework, Time-sharing, Seeking help, and (...) Supporting family members. Items of this questionnaire were collected from investigation, relevant scales, and discussion with experts. Here, 562 college students were selected for the pre-test and 696 for the formal test. The results showed that, except for the dimension of refusing housework, which has been deleted, other dimensions remain unchanged, and the final nine dimensions accounted for 66.03% of variance variation. Furthermore, the result of confirmatory factor analysis indicates that the model fit well with the data in construct validity [χ2/df = 2.71, Incremental Fit Index = 0.90, Tucker–Lewis Index = 0.89, Comparative Fit Index = 0.90, root mean square error of approximation = 0.05, standardized root mean square residual = 0.05]. The Cronbach's alpha coefficient of this questionnaire was 0.97. The split-half reliability was 0.92, and the test–retest reliability was 0.75 for the total questionnaire. The total score of the questionnaire was significantly positively correlated with the total score of family function, family cohesion, family adaptability, and well-being, and it had a significant negative correlation with loneliness. The results showed that the final structure was reasonable, and reliability and validity conformed to the requirements of psychometrics. Therefore, the questionnaire developed in this study can be used as a valid instrument for assessing the experience of family harmony among college students in China. (shrink)

Studies have documented that career exploration is significantly associated with CDSE, but how this association occurred is not clear yet. This study committed to clarifying the mechanism underlying the relationship between career exploration and CDSE by investigating the mediation effect of work volition and career adaptability among 586 pre-service kindergarten teachers. The participants are recruited from Ningxia Hui Autonomous Region in northwest China, covering Han, Hui, and other minorities. They took part in a two-wave longitudinal survey and reported on their (...) career exploration at T1, work volition, career adaptability, and career decision self-efficacy at T2. Results showed that T1 career exploration is directly related to the T2 CDSE. Further, career exploration contributed to the CDSE through both the separated mediation path and the chained mediation path of T2 work volition and T2 career adaptability. The results suggest that individuals who engage in more career exploration activities are likely to have more confidence in their abilities to make career decisions over time, which was partially and serially explained by individuals’ perception of capacity despite constraints and greater self-regulatory strength. This study is a first attempt to deeply clarify the link between career exploration and CDSE, and the findings shed light on the independent and serial mediating effects of work volition and career adaptability. The implications and limitations are discussed. (shrink)

Previous researchers have found that head-down bed rest will affect the emotional state of individuals, and negative emotions such as anxiety are closely related to attention bias. The present study adopted the dot-probe task to evaluate the effects of 15-days of −6° HDBR on the attention bias of threatening stimulus in 17 young men, which was completed before, during, after the bed rest. In addition, self-report inventories were conducted to record emotional changes. The results showed that the participants’ negative affect (...) scores on HDBR-8 were significantly lower than the HDBR-1 in PANAS while there was no significant difference on positive affect scores and anxiety scores in SAI. And the results showed that at the Pre-HDBR, HDBT-1, HDBR-15, Post-HDBR, the response speed to threatening stimulus was faster than neutral stimulus, but no statistical significance. However, reaction time of threatening stimulus is significantly longer than neutral stimulus in the HDBR-8, indicating that HDBR may have an effect on the participants’ attention bias, and this effect is manifested as attention avoidance. (shrink)

In ancient Chinese thoughts, de is a comparatively complicated idea. Most of the researchers translated it directly into "virtue", but this translation is not accurate for our understanding of the idea of "de" in pre-Qin times. Generally speaking, in Pre-Qin times, the idea of"de" underwent three developmental periods. The first is the de of Heaven, the de of ancestors; the second the de of system; and the third the de of spirit and moral conducts. In a long period of history, (...) the idea of "de" never cast off the influence of tian Dao (the way of Heaven). It was in Western Zhou Dynasty that the idea of "de" shook off the dense fog of the mandate of Heaven. However, it was the thinkers in Spring and Autumn Period and Warring States who made contributions to bring it deep into people's mind. The ancient Chinese thoughts were mainly concerned with people's recognition and development of their own abilities, with people's seeking harmony and balance between human-beings and nature, and with people's seeking harmonious and balanced human relations. The development of the idea of "de" played a very important role in this context. (shrink)

Bern, Berlin, Bruxelles, Frankfurt/M., New York, Oxford, Wien Schweizer Asiatische Studien. Monographien. Bd. 43. Herausgegeben von Robert Gassmann. This book deals with the ru, a word too often understood as a reference to 'Confucian literati'. The study consists of two parts. In the first part the author discusses the problem of the origins of the ru and presents the main hypotheses offered by modern Chinese scholars in this respect. The second part examines the status and nature of a number of (...) ru at a very important period in their history, namely the Qin dynasty and the early Han dynasty (3rd to 2nd centuries B.C.), with the interpretation of famous episodes such as the 'execution of literati' in 212, and the so-called 'victory of Confucianism' one century later. Contents: The ru - from early times to the beginning of the twentieth century - HuShi's Shuo ru - Criticism of Hu Shi's Shuo ru - After Hu Shi: variations on the wang guan shuo - Other recent theories on the origins of the ru - The Erudites (boshi) until the early Han dynasty - The execution of 212 B.C. - The ru during Emperor Gaozu's reign - The ru under Emperor Wu's rule. (shrink)

The view of human in Confucian philosophy in Pre Qin Dynasty arose not only from the change in socio-economic conditions but also from the deterioration of social morality. Facing that situation, thipkers of this period began to study human to come up with solutions to help the rulers stabilize society. Despite the presence of past studies on the topicand views on people in Confucian philosophy during the Pre Qin period, there (xists gaps for further research. This study attempted to understand (...) through a document review and extensive in-depth research procedure the theoretical underpjnnings of the perspectives on the origin of man, on human nathře, on hụman rples and positions and on educating people in order to develop perfect people and maintain civil order in society. The methodology used was documehtation research and content analysis of the data collected. The document reséafch method was particularly helpful in investigating categorizing and analyzing physical sources, most commonly written documents in the social, public or dígital world. The study found out that the Confucianism represents a legitimate doctrine of the Pre Qin philosophy to build social stability social harmony and peace. The Confucianists of Pre Qin also advocated the need for a personal cultivation, cultivation of the body, family, country, and the whole world, and use it as the basis of the methodology for governing the country. Howeyer, for this purpose, the study recommends that people need to be educated to know the way to be human. (shrink)

Discussions of name during the pre-Qin and Qin-Han period of Chinese history were very active. The concept ming at that time can be divided into two categories, one is the ethical-political meaning of the term and the other is the linguistic-logical understanding. The former far exceeds the latter in terms of overall influence on the development of Chinese intellectual history. But it is the latter that has received the most attention in the 20th century, due to the influence of (...) Western logic. This has led to the result of a bias in the contemporary studies of ming. Changing course by returning to the correct path of intellectual history can providing an objective and thorough ordering of the pre-Qin discourse on ming. (shrink)

: Jixia Academy is a general term for the Contending academic group in the Pre-Qin Period. The thought derived from Jixia Academy occupies an important part in the development of Chinese ancient ideological history. It has played an important role in regulating and enlightening the construction of the symbolic art of the social order at that time. And it is also of great value to the stability and orderly operation of today’s social order. This paper takes the thought of (...) Jixia Academy as the core. Firstly, it analyzes the general situation of Jixia Academy and its ideological connotation. Secondly, it explores the symbolic art of the Pre-Qin social order, including the characteristics of the Pre-Qin social order and the construction path of the Pre-Qin social order. On this basis, it elaborates the influence of the thought of Jixia Academy on the construction of social order in the Pre-Qin Period, in order to make more people to deeply understand the thought of Jixia Academy and its positive role in the construction of the Pre-Qin social order symbolic art. Resumo: Academia Jixia é um termo geral para o grupo acadêmico Contendo, no período da Dinastia Pré-Qin, e o pensamento derivado da Academia Jixia ocupa uma parte importante no desenvolvimento da história ideológica antiga chinesa. Esse pensamento desempenhou um papel importante na regulação e esclarecimento da construção da arte simbólica da ordem social da época, sendo também de grande valia para a estabilidade e o funcionamento ordenado da ordem social atual. Este artigo toma como núcleo o pensamento da Jixia Academy. Primeiramente, analisa a situação geral da Academia Jixia e sua conotação ideológica. Em segundo lugar, explora a arte simbólica da ordem social Pré-Qin, incluindo as características da ordem social Pré-Qin e o caminho de construção da ordem social pré-Qin. Com base nisso, interpreta a influência do pensamento da Academia Jixia, na construção da ordem social no período Pré-Qin, a fim de levar mais pessoas a compreenderem profundamente o pensamento da Academia Jixia e seu papel positivo, na construção da arte simbólica da ordem social |Pré-Qin. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:Images of Women in Chinese Thought and Culture: Writings from the Pre-Qin Period through the Song DynastyXiufen LuImages of Women in Chinese Thought and Culture: Writings from the Pre-Qin Period through the Song Dynasty. Edited by Robin R. Wang. Indianapolis: Hackett Publishing Company, 2003. Pp. xiv + 449.Images of Women in Chinese Thought and Culture: Writings from the Pre-Qin Period through the Song Dynasty, edited by Robin R. (...) Wang, is an excellent collection of English translations from the Classical Chinese of writings on women. As the title indicates, the book starts with writings from before the founding of the Qin, China's first bureaucratic state, in 221 B.C.E., and ends with the Tang and Song dynasties (618-1279 C.E.), a period that has been considered the richest in Chinese history in terms of literature and art production.The anthology includes fifty-four selections arranged in five parts based on a conventionally accepted chronology of the texts. There is a brief introduction at the beginning of each selection that helps familiarize the reader with the texts and the historical and cultural context out of which women's issues have arisen. The first two parts include selections from oracle-bone inscriptions, the earliest Chinese writings ever discovered; texts from the major ancient philosophical schools, such as Confucianism, Daoism, Mohism, and Legalism; and folk literature together with poems by some of the best-known poets of their time. These writings not only encompass the intellectual foundations of Chinese civilization but also provide valuable sources for understanding how perceptions of gender relations have been shaped by the Chinese cosmological and philosophical view of the world. In text number 3, the Classic of Changes (Yijing), women and men are understood as the highest embodiments of yin and yang, the two fundamental forces that characterize the development of the universe. Since these forces are understood as both hierarchical—as they are manifested in the interrelation between the earth and sky—and, more importantly, complementary to each other, women's roles in family and society are thus recognized as distinct from, yet complementary to, those of men.In part 3, the reader is led through the Han (202 B.C.E.-220 C.E.), China's longest-lived dynasty. Writings from this period reveal the processes by which the ancestral wisdom, especially the Confucian Classics, were codified through government-sponsored scholarship. The writings of Dong Zhongshu (195-115 B.C.E.) and The Comprehensive Discussion in the White Tiger Hall (Baihu tong) were two of the texts responsible for the establishment of the official Confucian ideology of the Han. Texts drawn from this period also include works by Ban Zhao (45-114 C.E.), China's first and most influential female historian and scholar. Her writings were originally intended as moral guidance for women and were regarded in Chinese society as key texts in women's education up to the twentieth century.The six selections included in part 4 are comparatively less well known to English readers, except for The Ballad of Mulan, which became popular in the West after the story of Mulan was made into an animated movie in 1998. The other writings in this part have only been translated into English since the 1970s. Among them, [End Page 496] English versions of Family Instructions to the Yan Clan and Women in the Standard Histories were prepared especially for this volume. These writings reveal how Neo-Confucianism and Neo-Daoism became the principal approaches to comprehending the social reality and gender relations following the chaotic disintegration of the Han dynasty, and they help explain the increasing dominance of Confucian ideology and its implications for women.Finally, in part 5, there are included among other selections some well-crafted love stories written in the classical language by eminent men of letters and works by several great poets (both men and women) of the Tang and Song periods. In this section there are writings by some of the most familiar names of the period, such as Bojuyi (772-846 C.E.), Yuan Zhen (779-831 C.E.), and Li Qingzhao (1081-1151 C.E.). These authors have... (shrink)

TikTok has one of the most advanced algorithm systems and is the most addictive as compared to other social media platforms. While research on social media addiction is abundant, we know much less about how the TikTok information system environment affects users’ internal states of enjoyment, concentration, and time distortion, which in turn influences their addiction behavior. To fill this gap, this study collects responses from 659 adolescents in China aged between 10 and 19 years old, and the data (...) is then analyzed using Partial Least Square. We find that the system quality has a stronger influence than information quality in determining adolescents’ experience with TikTok and that the flow experience has significant direct and indirect effects on TikTok addiction behavior. Notably, this study finds that TikTok addiction is determined by users’ mental concentration on the medium and its content. Several theoretical insights from the stimulus–organism–response model and the flow theory are used to explain the findings. (shrink)

The computer distance teaching system teaches through the network, and there is no entrance threshold. Any student who is willing to study can log in to the network computer distance teaching system for study at any free time. Neural network has a strong self-learning ability and is an important part of artificial intelligence research. Based on this study, a neural network-embedded architecture based on shared memory and bus structure is proposed. By looking for an alternative method of exp function (...) to improve the speed of radial basis function algorithm, and then by analyzing the judgment conditions in the main loop during the algorithm process, these judgment conditions are modified conditionally to reduce the calculation scale, which can double the speed of the algorithm. Finally, this article verifies the function, performance, and interface of the computer distance education system. (shrink)

Total factor productivity is not only the core of high-quality economic development but also a core indicator for measuring the quality of economic development. Improving total factor productivity is one of the most critical points in building a modern economic system. Firstly, this paper uses the DEA-Malmquist index method to measure and decompose the total factor productivity of China’s 30 provinces, municipalities, and autonomous regions from 2001 to 2017 and analyzes the characteristics of its temporal and spatial changes. From a (...) spatial perspective, the regional gap is relatively large. Secondly, we construct the index system of five dimensions and use this index system to comprehensively evaluate the improvement degree of China’s modernized economic system. The results show that the overall level of the improvement degree of China’s modernized economic system is relatively low, and the differences between provinces are great. Thirdly, this paper uses static and dynamic spatial econometric models to empirically analyze the effect of total factor productivity on the improvement degree of the modern economic system. The results show that the improvement degree of the modern economic system in China has obvious characteristics of time spillover and space spillover. Finally, we put forward countermeasures and suggestions on how to perfect the modern economic system. (shrink)

Because of difficulty processing the electronic medical record data of patients with cerebrovascular disease, there is little mature recognition technology capable of identifying the named entity of cerebrovascular disease. Excellent research results have been achieved in the field of named entity recognition, but there are several problems in the pre processing of Chinese named entities that have multiple meanings, of which neglecting the combination of contextual information is one. Therefore, to extract five categories of key entity information for diseases, symptoms, (...) body parts, medical examinations, and treatment in electronic medical records, this paper proposes the use of a BERT-BiGRU-CRF named entity recognition method, which is applied to the field of cerebrovascular diseases. The BERT layer first converts the electronic medical record text into a low-dimensional vector, then uses this vector as the input to the BiGRU layer to capture contextual features, and finally uses conditional random fields to capture the dependency between adjacent tags. The experimental results show that the F1 score of the model reaches 90.38%. (shrink)

In this paper, we mainly investigate the coordinated tracking control issues of multiple Euler–Lagrange systems considering constant communication delays and output constraints. Firstly, we devise a distributed observer to ensure that every agent can get the information of the virtual leader. In order to handle uncertain problems, the neural network technique is adopted to estimate the unknown dynamics. Then, we utilize an asymmetric barrier Lyapunov function in the control design to guarantee the output errors satisfy the time-varying output constraints. (...) Two distributed adaptive coordinated control schemes are proposed to guarantee that the followers can track the leader accurately. The first scheme makes the tracking errors between followers and leader be uniformly ultimately bounded, and the second scheme further improves the tracking accuracy. Finally, we utilize a group of manipulator networks simulation experiments to verify the validity of the proposed distributed control laws. (shrink)

Developmental and neuroscience works have demonstrated that the moral judgment is influenced by theory of mind, which refers to the ability to represent the mental states of different agents. However, the neural and cognitive time course of interactions between moral judgment and ToM remains unclear. The present event-related potential study investigated the underlying neural substrate of the interaction between moral judgment and ToM by contrasting the ERPs elicited by moral judgments for self and for others in moral dilemmas. In (...) classic moral dilemmas, the agents must choose between the utilitarian choice and the non-utilitarian choice. The ERPs were recorded from participants who made moral judgments for self and for others when the agent made utilitarian or non-utilitarian choices during the dilemma. The results revealed that the moral judgment for others elicited a larger frontal late positive component than that for self when the agents made utilitarian choices, while no difference was observed on early components of N1, P2, and N2. Moreover, individual differences in mentalizing ability were negatively correlated with the LPC amplitudes. These findings suggested that ToM modulated the late controlled process but not the early automatic process during moral judgments. (shrink)

In this volume, Lloyd Strickland makes the key philosophical writings of maverick Enlightenment philosopher André-Pierre Le Guay de Prémontval (1716-1764) available in English for the first time. His writings contain many provocative ideas and arguments, and anticipate modern developments such as open theism, process theology, and animal theodicy.

Spontaneous activity levels prior to stimulus presentation can determine how that stimulus will be perceived. It has also been proposed that such spontaneous activity, particularly in the default-mode network (DMN), is involved in self-related processing. We therefore hypothesised that pre-stimulus activity levels in the DMN predict whether a stimulus is judged as self-related or not. Method: Participants were presented in the MRI scanner with a white noise stimulus that they were instructed contained their name or another. They then had to (...) respond with which name they thought they heard. Regions where there was an activity level difference between self and other response trials two seconds prior to the stimulus being presented were identified. Results: Pre-stimulus activity levels were higher in the right temporoparietal junction (RTPJ), the right temporal pole (RTP), and the left superior temporal gyrus in trials where the participant responded that they heard their own name than trials where they responded that they heard another. Conclusion: Pre-stimulus spontaneous activity levels in particular brain regions, largely overlapping with the DMN, predict the subsequent judgement of stimuli as self-related. This extends our current knowledge of self-related processing and its apparent relationship with intrinsic brain activity in what can be termed a rest-self overlap. (shrink)

The H ∞ performance of a class of T-S fuzzy systems with Markovian-jump parameters is analyzed. A state feedback controller is designed for T-S fuzzy systems with Markovian-jump parameters. First, a new modal-dependent Lyapunov function composed of closed-loop functions is constructed, which can fully use system status information. Based on this function, the stability conditions with less conservatism are given by linear matrix inequalities. At the same time, a design algorithm for a state feedback controller is proposed for the (...) Markovian-jump-parameters T-S fuzzy systems, which ensures the system’s stability under the condition of H ∞ − γ performance. Simulation results demonstrate that the mentioned method is accurate and practical. (shrink)

ABSTRACT Although unethical pro-organizational behavior (UPB) in the workplace has been widely researched, studies have focused on its antecedents rather than its outcomes. To fill this gap in the literature, we integrated moral licensing theory and the literature on leader gratitude expression to explore the ethical consequences of UPB. Using a sample of multi-source time-lagged surveys of 206 leader–employee dyads, we found that the pro-organizational nature of UPB fostered employees’ psychological entitlement and thereby increased their likelihood of engaging in (...) subsequent unethical behavior. Leaders’ expressions of gratitude for employee UPB strengthened the relationship between UPB and psychological entitlement, ultimately reinforcing employees’ unethical behavior. The theoretical and practical implications of the findings are discussed. (shrink)

In order to improve the efficiency of the English translation, machine translation is gradually and widely used. This study briefly introduces the neural network algorithm for speech recognition. Long short-term memory (LSTM), instead of traditional recurrent neural network (RNN), was used as the encoding algorithm for the encoder, and RNN as the decoding algorithm for the decoder. Then, simulation experiments were carried out on the machine translation algorithm, and it was compared with two other machine translation algorithms. The results showed (...) that the back-propagation (BP) neural network had a lower word error rate and spent less recognition time than artificial recognition in recognizing the speech; the LSTM–RNN algorithm had a lower word error rate than BP–RNN and RNN–RNN algorithms in recognizing the test samples. In the actual speech translation test, as the length of speech increased, the LSTM–RNN algorithm had the least changes in the translation score and word error rate, and it had the highest translation score and the lowest word error rate under the same speech length. (shrink)

As one of the most widely used methods in deep learning technology, convolutional neural networks have powerful feature extraction capabilities and nonlinear data fitting capabilities. However, the convolutional neural network method still has disadvantages such as complex network model, too long training time and excessive consumption of computing resources, slow convergence speed, network overfitting, and classification accuracy that needs to be improved. Therefore, this article proposes a dense convolutional neural network classification algorithm based on texture features for images in (...) virtual reality videos. First, the texture feature of the image is introduced as a priori information to reflect the spatial relationship between pixels and the unique characteristics of different types of ground features. Second, the grey level cooccurrence matrix is used to extract the grey level correlation features of the image in space. Then, Gauss Markov Random Field is used to establish the statistical correlation characteristics between neighbouring pixels, and the extracted GLCM-GMRF texture feature and image intensity vector are combined. Finally, based on DenseNet, an improved shallow layer dense convolutional neural network is proposed, which can compress network parameters and improve the feature extraction ability of the network. The experimental results show that compared with the current classification method, this method can effectively suppress the influence of coherent speckle noise and obtain better classification results. (shrink)

Transformational leadership impacts on project and organizational success are well established. However, many underlying factors that make TFL effective are still missing. Therefore, we formulated hypotheses and tested the mediating role of trust and job satisfaction in linking TFL to project success. A time-lagged methodology was used to collect quantitative data using a structured questionnaire from 326 project manager-team member dyads working in Pakistan’s public sector. Our results showed that TS, JS, and TFL significantly impacted project success. Moreover, we (...) found that TS and JS mediate the relationship between TFL and PS. These findings highlight the importance of trust and job satisfaction as mechanisms that translate TFL into the success of projects for organizations. (shrink)

The number of articles published in open access journals has increased dramatically in recent years. Simultaneously, the quality of publications in these journals has been called into question. Few studies have explored the retraction rate from OAJs. The purpose of the current study was to determine the reasons for retractions of articles from OAJs in biomedical research. The Medline database was searched through PubMed to identify retracted publications in OAJs. The journals were identified by the Directory of Open Access Journals. (...) Data were extracted from each retracted article, including the time from publication to retraction, causes, journal impact factor, and country of origin. Trends in the characteristics related to retraction were determined. Data from 621 retracted studies were included in the analysis. The number and rate of retractions have increased since 2010. The most common reasons for retraction are errors, plagiarism, duplicate publication, fraud/suspected fraud and invalid peer review. The number of retracted articles from OAJs has been steadily increasing. Misconduct was the primary reason for retraction. The majority of retracted articles were from journals with low impact factors and authored by researchers from China, India, Iran, and the USA. (shrink)

The youngest generation of students prefers a more active learning style. Sandwich teaching may suit their learning style by alternating between active individual learning and passive collective learning. Sandwich teaching has been rarely applied to the Community Nursing Course for nursing students, and its teaching effects on this course remain unclear. This study applied Sandwich teaching to the Community Nursing Course for Chinese nursing undergraduates and investigated its effects on students' critical thinking, self-learning ability, course experience, and academic performance. This (...) is a quasi-experimental study with 72 Chinese nursing undergraduates. Students receiving traditional teaching were enrolled in the control group, and those who received Sandwich teaching were recruited into the experimental group. Both groups received the 12-week, 90-min Community Nursing Course. Our main outcome variable, including students' critical thinking, self-learning ability, and course experience, was assessed by specific questionnaire. The paired t-tests were applied to compare the differences of the same group in the pre-test and the post-test, and the independent-sample t-tests were used to compare the differences between the two groups. We observed that nursing students' critical thinking ability and self-learning ability were significantly improved after receiving Sandwich teaching. Students' course experience of Sandwich teaching was significantly better than that of traditional teaching. The final exam score in the experimental group was not significantly higher than that in the control group. These results suggest that Sandwich teaching in Community Nursing Course improved Chinese nursing undergraduates' critical thinking, self-learning ability, and course experience, but failed in improving academic performance. (shrink)

Consensus of fractional-order multiagent systems with single integral has been wildly studied. However, the dynamics with multiple integral also exist in FOMASs, and they are rarely studied at present. In this paper, consensus problems for multi-integral fractional-order multiagent systems with nonuniform time-delays are addressed. The consensus conditions for MIFOMASs are obtained by a novel frequency-domain method which properly eliminates consensus problems of the systems associated with nonuniform time-delays. Besides, the method revealed in this paper is applicable to classical (...) high-order multiagent systems which is a special case of MIFOMASs. Finally, several numerical simulations with different parameters are performed to validate the correctness of the results. (shrink)

In this work, a virtual submerged floating operational system based on parallel and serial robotic platforms is proposed. The primary aim behind its development lies in carrying out simulated underwater manipulation experiments in an easier and safer way. This VSFOS is consisted of a six-degree-of-freedom parallel platform, an ABB serial manipulator, an inertial sensor, and a real-time industrial computer. The 6-DOF platform is used to simulate the movement of an underwater vehicle, whose attitude is measured by the inertial sensor. (...) The ABB manipulator, controlled by the real-time industrial computer, works as an operational tool to perform underwater manipulation tasks. In the control system architecture, software is developed to receive the data collected by the inertial sensor, to communicate and send instructions. Furthermore, the real-time status of the manipulator is displayed in this software. To validate the proposed system, two experiments have been conducted to test its performance. In the first experiment, the test is carried out to check the communication function of VSFOS, while in the second one, the manipulator is intended to follow the movement of the parallel platform and perform simulated operational task in the space. The obtained results from these two experiments show clearly the effectiveness and the performance of the proposed VSFOS. (shrink)

Timely detection and efficient recognition of fault are challenging for the bogie of high-speed train, owing to the fact that different types of fault signals have similar characteristics in the same frequency range. Notice that convolutional neural networks are powerful in extracting high-level local features and that recurrent neural networks are capable of learning long-term context dependencies in vibration signals. In this paper, by combining CNN and RNN, a so-called convolutional recurrent neural network is proposed to diagnose various faults of (...) the HST bogie, where the capabilities of CNN and RNN are inherited simultaneously. Within the novel architecture, the proposed CRNN first filters out the features from the original data through convolutional layers. Then, four recurrent layers with simple recurrent cell are used to model the context information in the extracted features. By comparing the performance of the presented CRNN with CNN, RNN, and ensemble learning, experimental results show that CRNN achieves not only the best performance with accuracy of 97.8% but also the least time spent in training model. (shrink)

Consensus of fractional-order multiagent systems with single integral has been wildly studied. However, the dynamics with multiple integral also exist in FOMASs, and they are rarely studied at present. In this paper, consensus problems for multi-integral fractional-order multiagent systems with nonuniform time-delays are addressed. The consensus conditions for MIFOMASs are obtained by a novel frequency-domain method which properly eliminates consensus problems of the systems associated with nonuniform time-delays. Besides, the method revealed in this paper is applicable to classical (...) high-order multiagent systems which is a special case of MIFOMASs. Finally, several numerical simulations with different parameters are performed to validate the correctness of the results. (shrink)

In 2000, Mark Palmer, one of the National Endowment for Democracy’s founders and Vice Chairman of Freedom House—an organization funded entirely by the U.S. Congress—founded a new government-supported group, Friends of Falun Gong. By perusing FoFG’s annual tax filings, one discovers that FoFG has contributed funds to Sounds of Hope Radio, New Tang Dynasty TV, and the Epoch Times—all Falun Gong media outlets. FoFG has also contributed to Dragon Springs and to Shen Yun, as well as to Falun Gong’s PR (...) arm. In order to contextualize the U.S. government’s funding of Falun Gong, it will also be helpful to examine a handful of additional U.S. agency activities, such as the NED’s funding of Liu Xiaobo, the Hong Kong protests, and other China-related and Tibet-related groups. (shrink)

The ongoing coronavirus 2019 pandemic caused by the severe acute respiratory syndrome coronavirus 2 has resulted in a severe ramification on the global healthcare system, principally because of its easy transmission and the extended period of the virus survival on contaminated surfaces. With the advances in computer-aided diagnosis and artificial intelligence, this paper presents the application of deep learning and adversarial network for the automatic identification of COVID-19 pneumonia in computed tomography scans of the lungs. The complexity and time (...) limitation of the reverse transcription-polymerase chain reaction swab test makes it disadvantageous to depend solely on as COVID-19’s central diagnostic mechanism. Since CT imaging systems are of low cost and widely available, we demonstrate that the drawback of the RT-PCR can be alleviated with a faster, automated, and reduced contact diagnostic process via the use of a neural network model for the classification of infected and noninfected CT scans. In our proposed model, we explore the benefit of transfer learning as a means of resolving the problem of inadequate dataset and the importance of semisupervised generative adversarial network for the extraction of well-mapped features and generation of image data. Our experimental evaluation indicates that the proposed semisupervised model achieves reliable classification, taking advantage of the reflective loss distance between the real data sample space and the generated data. (shrink)

Due to the complexity of the cavity/vehicle and oscillation characteristics, streamlined shape integrated design of conventional fully wetted vehicles is not suitable for supercavitating vehicles. In this paper, a set of design criteria is highlighted to optimize the length and streamlined shape of a conical section subjected to realistic design constraints, which integrate the complex characteristics of the cavity/vehicle system under the condition of auto-oscillation of supercavitating vehicles. The auto-oscillation and its time-domain characteristics are determined. By deriving the equation (...) describing the cavity/vehicle relationship and identifying the maximum amplitude of the Euler angle, the cavity/vehicle tangent point criterion is proposed to determine the theoretical optimum value of the length of the conical section. A method of equal cross-sectional area for gas flow is proposed to design the streamlined shape of the conical section. Water tunnel and autonomous flight experiments were carried out to validate the feasibility of the design methodology developed in this work. (shrink)

This paper firstly introduces the basic knowledge of music, proposes the detailed design of a music retrieval system based on the knowledge of music, and analyzes the feature extraction algorithm and matching algorithm by using the features of music. Feature extraction of audio data is the important research of this paper. In this paper, the main melody features, MFCC features, GFCC features, and rhythm features, are extracted from audio data and a feature fusion algorithm is proposed to achieve the fusion (...) of GFCC features and rhythm features to form new features under the processing of principal component analysis dimensionality reduction. After learning the main melody features, MFCC features, GFCC features, and rhythm features, based on the property that PCA dimensionality reduction can effectively reduce noise and improve retrieval efficiency, this paper proposes vector fusion by dimensionality reduction of GFCC features and rhythm features. The matching retrieval of audio features is an important task in music retrieval. In this paper, the DTW algorithm is chosen as the main algorithm for retrieving music. The classification retrieval of music is also achieved by the K-nearest neighbor algorithm. In this paper, after implementing the research and improvement of algorithms, these algorithms are integrated into the system to achieve audio preprocessing, feature extraction, feature postprocessing, and matching retrieval. This article uses 100 different kinds of MP3 format music as the music library and randomly selects 4 pieces each time, and it tests the system under different system parameters, recording duration, and environmental noise. Through the research of this paper, the efficiency of music retrieval is improved and theoretical support is provided for the design of music retrieval software integration system. (shrink)

Phosphatidylinositol 3 kinase (PI 3-kinase) is an important enzyme that is involved in the regulation of a variety of biological processes such as apoptosis, cell division, and ion channel activity and can play a role in the pathological development of a number of diseases, including AIDS and cancer. The authors’ data indicate that external qi of Yan Xin Life Science Technology (YXLST) can modulate enzyme activity in two directions. Within a time window of 3 days of the initial emission (...) of external qi of YXLST, PI 3-kinase activity was restored in an outdated enzyme sample that had lost activity, and PI 3-kinase activity was suppressed in a freshly purified sample relative to an untreated control sample so that its activity was nearly undetectable. The data presented are consistent with the hypothesis that external qi of YXLST can alter molecular events. The uniqueness of this and other observations mandates further study. (shrink)

Background: Upper limb functional exercise has a positive effect on promoting the rehabilitation of upper limb function. However, little is known, about what drives postoperative patients to engage in and even maintain the advised exercises. This study integrated the health action process approach and the theory of planned behavior theory to investigate the psychosocial determinants on the initiation and maintenance of ULFE in breast cancer patients. In addition, this study also tests key hypotheses relating to reasoned and implicit pathways to (...) ULFE and its maintenance among postoperative patients with breast cancer.Methods: Purposive sampling was used to recruit patients from two breast cancer wards in a provincial hospital in Jiangsu, China. Patients completed self-reported questionnaire about constructs from integrated theories concerning ULFE at an initial time point : task self-efficacy, positive outcome expectations, negative outcome expectations, risk perception, attitude behavior, subjective norm, perceived behavioral control, behavioral intention, and ULFE-in hospital. Three months later, patients self-reported: maintenance self-efficacy, action planning, coping planning, recovery self-efficacy, and ULFE-maintenance.Results: The model has a good fit. For behavioral intention of ULFE, subjective norm and perceived behavioral control were positively directly related to behavioral intention. Regarding the initiation of ULFE, perceived behavioral control and behavioral intention had a direct positive relation to ULFE-IH. In the maintenance of ULFE, action planning, coping planning, maintenance self-efficacy, and recovery self-efficacy all had significant positive relation on ULFE-M. In addition, maintenance self-efficacy had a significant positive association on action planning, coping planning, and recovery self-efficacy. Coping planning was significantly predicted by behavioral intention. Additionally, behavioral intention is a mediator of subjective norm and perceived behavioral control to ULFE-IH. Action planning, coping planning, and recovery self-efficacy are mediators of maintaining self-efficacy to ULFE-M.Conclusions: This study presents the first attempt to integrate the health behavior model in ULFE in postoperative patients with breast cancer. The study has shown that the HAPA-TPB integrated model has good applicability and effectiveness to explain and predict ULFE initiation and maintenance. Future work can be considered to develop appropriate intervention strategies based on this integrated behavioral theory. (shrink)

Against the backdrop of an aging global population and the increasing pressure of medical care expenditures for seniors, this paper used a fuzzy regression discontinuity model to explore the effects of retirement on the self-assessed health and objective physical and mental health of older people. Using survey data from the China Health and Retirement Longitudinal Study, our model addresses some relevant academic controversies. Our sample was comprised of male respondents from government agencies, enterprises, and public institutions. The research explored the (...) impact of retirement on lifestyle habits and included an in-depth analysis of the mechanism through which retirement influences different aspects of health. The results show that: Retirement does not have any significant impact on objective health, including depression and self-care ability, but it does cause a notable decline in subjective health assessment. Retirement shortened the sleep time of respondents, which may account for lower scores on subjective health self-evaluations, but it did not lead to any noticeable improvement in habits which are harmful to health, such as smoking and drinking. Marriage can help alleviate the problems of depression and smoking among older people, and education has a somewhat broader positive effect on their health and lifestyles; however, neither factor helps to improve the sleep problems of older people. Therefore, this paper recommends that efforts should be made to both optimize retirement policies and seek further ways to improve the health of the retired population. (shrink)

With the expansion of the digital business line, the network flow behind the digital power grid is also exploding. To prevent network congestion, this article proposes a novel network flow forecasting model, which is composed of variational mode decomposition, GRU-xgboost block, and a forecasting adjustment block, to grasp the changing patterns and trends of network flow in advance, and to formulate reasonable and effective flow management strategies and meet the requirements of users for network service quality. The network flow series (...) in power grid enterprise always contain complex patterns and outliers, and VMD is applied to adaptively process complex net flow time series into several subseries with simpler patterns. A GRU-xgboost block is designed to reconstruct the features of historical series. Then, xgboost model is applied to generate predictions for all decomposed subsignals. For the final predictions, we design a forecasting adjustment block to further remove the influence of random noise. Finally, the empirical results show the superior performance of the proposed model on network flow forecasting task. (shrink)

Low frequency oscillation is an important attribute of human brain activity, and the amplitude of low frequency fluctuation is an effective method to reflect the characteristics of low frequency oscillation, which has been widely used in the treatment of brain diseases and other fields. However, due to the low accuracy of the current analysis methods for low frequency signal extraction of ALFF, we propose the Fourier-based synchrosqueezing transform, which is often used in the field of signal processing to extract the (...) ALFF of the low frequency power spectrum of the whole-time dimension. The low frequency characteristics of the extracted signal are compared with those of FSST and fast Fourier transform through the resting-state data. It is clear that the signal extracted by FSST has more low frequency characteristics, which is significantly different from FFT. (shrink)

IntroductionCerebral visual impairment results from damage to cerebral visual processing structures. It is the most common cause of pediatric visual impairment in developed countries and rising in prevalence in developing nations. There is currently limited understanding on how neurologic, developmental, and ophthalmic factors predict outcome for pediatric CVI.MethodA retrospective manual chart review of pediatric CVI patients seen at the tertiary pediatric hospital neurology and neuro-ophthalmology service between 2010 and 2019 was conducted. Patients were stratified into severity groups, and followed over (...) time to identify outcome predictors. Collected baseline characteristics included perinatal, genetic, developmental, and neurologic history, along with neuroimaging and fundoscopic findings on examination. Longitudinal data collected included age, seizure control, and type of therapy received. Linear mixed-effect models were used for longitudinal CVI grade outcome analysis.ResultsA total of 249 individuals spanning 779 patient visits were identified. Mean age at diagnosis was 18.8 ± 16.8 months. About 64.3% were born at term age. Perinatal history revealed hypoxic ischemic encephalopathy in 16.5%, intraventricular hemorrhage in 11.6%, and seizures in 21.7%. At presentation, 60.3% had a diagnosis of cerebral palsy and 84.7% had developmental delay. Among all subjects, 78.6% had epilepsy; 33.8% had an epileptic encephalopathy, with spasms/hypsarrhythmia being most common. Abnormal neuroimaging was present in 93.8%. Genetic anomalies were present in 26.9%. Baseline visual examination revealed no blink-to-light in 24.5%; only BTL in 34.5%, fixation/tracking in 26.5%, and optokinetic drum follow in 14.4%. Longitudinal data analysis showed that perinatal history of HIE, a positive epilepsy history, using multiple epilepsy medications, cerebral palsy, and abnormal fundoscopic findings were all negatively associated with CVI grade change over time. After controlling for significant confounders, receiving any type of therapy [early childhood intervention, physical and occupational therapy, refractive error correction or glasses] was significantly associated with longitudinal improvement in CVI grade compared to patients who did not receive any therapy, with glasses yielding the largest benefit.ConclusionThis study offers extensive insights into neurologic, developmental and ophthalmologic features in patients with moderate to severe CVI. In concordance with previous findings, aspects of perinatal history and epilepsy/seizure control may help inform severity and prognosis in the general neurology or ophthalmology clinic. Conversely, these aspects, as well as genetic and specific epilepsy traits may alert vision health care providers in the clinic to pursue visual evaluation in at-risk individuals. Longitudinal follow-up of CVI patients showed that interventional therapies demonstrated vision function improvement greater than no therapy and maturational development. (shrink)

People are known for good predictions in domains they have rich experience with, such as everyday statistics and intuitive physics. But how well can they predict for problems they lack experience with, such as the duration of an ongoing epidemic caused by a new virus? Amid the first wave of COVID-19 in China, we conducted an online diary study, asking each of over 400 participants to predict the remaining duration of the epidemic, once per day for 14 days. Participants’ predictions (...) reflected a reasonable use of publicly available information but were meanwhile biased, subject to the influence of negative affect and future time perspectives. Computational modeling revealed that participants neither relied on prior distributions of epidemic durations as in inferring everyday statistics, nor on mechanistic simulations of epidemic dynamics as in computing intuitive physics. Instead, with minimal experience, participants’ predictions were best explained by similarity-based generalization of the temporal pattern of epidemic statistics. In two control experiments, we further confirmed that such cognitive algorithm is not specific to the epidemic scenario and that minimal and rich experience do lead to different prediction behaviors for the same observations. We conclude that people generalize patterns in recent history to predict the future under minimal experience. (shrink)

The present study examined the longitudinal association among the Big Five personality traits, maladaptive cognitions, and Internet addiction during the COVID-19 pandemic. A total of 481 Chinese university students were surveyed three times by using the Chinese version of the Big Five Personality Traits Scale, Maladaptive Cognitions Scale, and Internet Addiction Scale. The results of a cross-lagged panel analysis highlighted that extraversion, agreeableness, conscientiousness, and openness were negatively associated with maladaptive cognitions and Internet addiction, whereas neuroticism was found to be (...) positively associated with maladaptive cognitions and Internet addiction across time; associations among the Big Five personality traits, maladaptive cognitions, and Internet addiction were dynamic and bidirectional; and maladaptive cognitions played mediating roles in extraversion, agreeableness, conscientiousness, openness, and Internet addiction across time. The Big Five personality traits, maladaptive cognitions, and Internet addiction predicted each other across time, and maladaptive cognitions were likely to be the key mediating factor in the associations between the Big Five personality traits and Internet addiction, which supported and expanded the Davis’ cognitive–behavioral model. (shrink)

Evidences are important proofs to support judicial trials. Automatically extracting evidences from judgement documents can be used to assess the trial quality and support “Intelligent Court”. Current evidence extraction is primarily depended on sequence labelling models. Despite their success, they can only assign a label to a token, which is difficult to recognize nested evidence entities in judgment documents, where a token may belong to several evidences at the same time. In this paper, we present a novel evidence extraction (...) architecture called ATT-MRC, in which extracting evidence entities is formalized as a question answer problem, where all evidence spans are screened out as possible correct answers. Furthermore, to address the data imbalance problem in the judgement documents, we revised the loss function and combined it with a data enhancement technique. Experimental results demonstrate that our model has better performance than related works in evidence extraction. (shrink)

Due to the individual differences controlling brain-computer interfaces, the applicability and accuracy of BCIs based on motor imagery are limited. To improve the performance of BCIs, this article examined the effect of transcranial electrical stimulation on brain activity during MI. This article designed an experimental paradigm that combines tES and MI and examined the effects of tES based on the measurements of electroencephalogram features in MI processing, including the power spectral density and dynamic event-related desynchronization. Finally, we investigated the effect (...) of tES on the accuracy of MI classification using linear discriminant analysis. The results showed that the ERD of the μ and β rhythms in the left-hand MI task was enhanced after electrical stimulation with a significant effect in the tDCS group. The average classification accuracy of the transcranial alternating current stimulation group and transcranial direct current stimulation group were improved significantly compared to the pre-and pseudo stimulation groups. These findings indicated that tES can improve the performance and applicability of BCI and that tDCS was a potential approach in regulating brain activity and enhancing valid features during noninvasive MI-BCI processing. (shrink)

Lifelong premature ejaculation (LPE) is a common male sexual dysfunction. Lack of active control for rapid ejaculation brought great distress to sexual harmony, and even fertility. Previous neurophysiology studies revealed an ejaculation-related control mechanism in the brain. However, it remains unclear whether this inhibitory network is altered in LPE patients. The present study investigated the central inhibitory network function of LPE patients by using stop signal task-related functional magnetic resonance imaging and resting-state functional connectivity analysis. The results showed no difference (...) in task-related behavioral performance or neural activation during response inhibition between LPE patients and controls. However, LPE patients showed a significantly different correlation pattern between the stop signal reaction time (SSRT) and left inferior frontal gyrus activation during successful inhibition, in which a typical negative correlation between SSRT and the activation was completely disappeared in patients. In addition, using the left inferior frontal gyrus as a seed, patients showed weaker functional connectivity between the seed and two areas (left dental nucleus and right frontal pole) compared with controls. These data suggest that LPE patients have an abnormal brain control network, which may contribute to the reduced central control of rapid ejaculation. This study provides new insights into the neural mechanism of LPE involving the central inhibitory network, which may offer an underlying intervention target for future treatment. (shrink)

Introduction: After the outbreak of COVID-19, psychological hotlines functioned as a main channel of psychological assistance and required a large number of professionals to provide services. These hotlines mostly offered a single-use service with short session times and allowed callers to retain anonymity. They functioned as a psychological counseling service for stress experienced in the COVID-19 public health emergency. Hotline psychological counselors must meet special competency requirements. The selection and evaluation tools for recruiting hotline counselors need to be developed.Materials and (...) Methods: The initial scale of competence for psychological hotline counselors was formed by expert evaluation based on theoretical constructs and by using the Delphi method. A link to the questionnaire was sent to a WeChat group of counselors from 36 major psychological hotlines in China in two stages. The questionnaire consisted of questions to elicit basic demographic information and the initial competence scale. In the first phase, 343 valid samples were used to perform exploratory factor analysis. In the second phase, 334 valid samples were used to perform confirmatory factor analysis. The status of the competence of psychological hotline counselors was also analyzed.Results: The factor structure of the Psychological Hotline Counselor Competence Scale was verified and defined in terms of skills, attitude, and knowledge. The results of exploratory factor analysis and confirmatory factor analysis showed that the scale has good reliability and validity. The McDonald’s omega for each factor was calculated. Meanwhile, it was found that the psychological hotline counselors’ self-assessed competence had a high average score.Conclusion: The Competence Scale for Psychological Hotline Counselors for Major Public Emergencies developed in this study has good reliability and validity, and can be a reliable tool for organizing psychological assistance and screening hotline psychological counselors during public emergencies in the future. (shrink)

The Lüshi chunqiu was written for and inspired the king who united the warring state to become China's first emperor in 221 BCE. This book explicates the concept of "proper timing," proposing that it helps bring unity to the diverse eclectic content of the text. The book analyzes the roles of human nature, the justification for the existence of the state, and the significance of personal, historical and cosmic timing. An organic instrumental position emerges from the diverse theories contained in (...) the Lüshi chunqiu. The conclusion looks at ways to apply the Lüshi chunqiu’s philosophy to contemporary issues of time and timing, human nature, political order and constitutions, social and environmental ethics. (shrink)

In the Pre-Qin time, pursuing “Dao” was the main task in the scholarship of most of the ancient Chinese philosophers, while the Ancient Greek philosophers considered pursuing “Truth” as their ultimate goal. While the “Dao” in ancient Chinese texts and the “Truth” in ancient Greek philosophic literature do share or cross-cover certain connotations, there are subtle and important differences between the two comparable philosophic concepts. These differences have deep and profound impact on the later development of Chinese and Western (...) philosophy and culture respectively. Interestingly, while the modern Chinese philosophy has gradually accepted and established the Western conception of “Truth” on its way towards modernization, the “post-modern” Western philosophy is just undergoing a process of deconstructing its traditional concept of “Truth”, thus, in a certain sense, going closer to the traditional Chinese “Dao”. From a comparative, relative and dynamic perspective, there could possibly be a fusion of horizon between the Chinese “Dao” and the Western “Truth”. (shrink)