Wei Liu

The whale optimization algorithm is a powerful swarm intelligence method which has been widely used in various fields such as parameter identification of solar cells and PV modules. In order to better balance the exploration and exploitation of WOA, we propose a novel modified WOA in which both the mutation strategy based on Levy flight and a local search mechanism of pattern search are introduced. On the one hand, Levy flight can make the algorithm get rid of the local optimum and avoid stagnation; thus, it is able to prevent the algorithm from losing diversity and to increase the global search capability. On the other hand, pattern search, a direct search method, has not only high convergence rate but also good stability, which can boost the local optimization ability of the WOA. Therefore, the combination of these two mechanisms can greatly improve the capability of WOA to obtain the best solution. In addition, MWOA may be employed to estimate parameters in single diode model, double diode model, and PV modules and to identify unknown parameters of two different types of PV modules under diverse light irradiance and temperature conditions. The analytical results demonstrate the validity and the practicality of MWOA for estimating parameters of solar cells and PV modules.

The lack of a standardized reliable and valid instrument makes it difficult to measure attitudes toward lesbian women and gay men consistently and thus poses a challenge to compare and contrast intervention measures. This study aimed to validate Herek’s ATLG scale among undergraduates in mainland China and identify factors associated with negative attitudes toward LG. A total of 6,036 eligible undergraduates conveniently drawn from 30 provinces across mainland China were randomly split in half. Item analysis was first used to select unrelated or redundant items for deletion. Exploratory factor analysis were then conducted on the first half of the sample, followed by confirmatory factor analysis and reliability analysis in the second half. Logistic regression analyses were finally carried out to identify their determinants. Six items were removed from the item analysis. EFA supported the existence of two factors. CFA results indicated that the two-factor model fit the data better than the one-factor model. Logistic regression analyses indicated that being female, majoring in non-health-related disciplines, attributing homosexuality to uncontrollable causes, non-adherence to traditional gender norms and exposure to homosexual content were significantly associated with less negative attitudes toward both L and G. Urban students were marginally less likely to express negative attitudes toward L but not G, while non-heterosexuals and those who had prior personal contact with homosexuals exhibited less negative attitudes toward G but not L. However, grade showed no significant associations with either ATL or ATG. The retained 14-item version of Herek’s ATLG scale has been proven to be a reliable and valid tool. Furthermore, ATL and ATG were determined by different factors and thus would be treated separately. In order to reduce negative attitudes toward LG among undergraduates in mainland China, a comprehensive intervention plan such as conducting comprehensive sex education and pushing the process of legalizing same-sex marriage should be designed, implemented and evaluated.

Prohairesis plays a central role in Aristotle's moral psychology. It is prohairesis that determines an action to be rational, that provides the proximate efficient or moving cause of rational action, and that better reveals one's character than the action itself. This paper will discuss Aristotle's shifted emphases when speaking of prohairesis in different ethical treatises; Aristotle's pursuit of the nature of prohairesis and his special argumentative strategy in dealing with prohairesis; the structure, i.e., the desiderative and deliberative components of prohairesis; and will conclude with some remarks about the significance of prohairesis.

The current study proposes a moderated mediation model to explain the relationship between humble leadership and team innovation. Our hypothesis integrates social information processing theory with the existing literature on humble leadership. As a result, we theorize that when a humble individual leads a team, the team members are more likely to reconsider strategies, review events with self-awareness, share diverse information, and adapt to new ideas, which in turn promotes innovative team activities. Moreover, consistent with the research that emphasizes the inclusion of team culture in exploring leader–innovation relationships, we investigate the moderating role of a team’s expertise diversity in the above positive, indirect relationship. We test our model by using both archival and survey data collected from 135 teams within 18 medium-to-large internet technology firms in China. The findings largely support our theoretical assertions, suggesting that humble leadership has important implications for team processes and innovation.

Based on learning, thinking, practicing and understanding, this paper explores the main ideas of the ideological and political construction of college mathematics courses under the blended learning model, which are mainly carried out from four aspects: the construction of knowledge system, the transformation of teaching concept, the promotion of blended learning model and the reform of evaluation method. Besides, it also carries out a specific case analysis and gives ways to achieve a good teaching effect.

BackgroundUsing Bourdieu’s cultural capital theory, this paper discusses the inequality of Chinese urban residents’ participation in physical activities caused by cultural capital and explores the relationship and role of residents’ income and self-rated health in cultural capital and physical activity participation.MethodsUsing Chinese social survey data, the proposed assumptions were tested and analyzed by using a linear regression model.ResultsCultural capital can promote the participation of Chinese urban residents in physical activities, and personal income and health self-assessment play an intermediary role in promoting residents’ participation in physical activities.ConclusionPromoting Chinese residents’ participation in physical activities can be realized not only through traditional publicity and sports venue construction but also by increasing residents’ educational level, art appreciation level and health awareness.

LIU W, MANIAS E and GERDTZ M. Nursing Inquiry 2011; 18: 290–302 Understanding medication safety in healthcare settings: a critical review of conceptual modelsCommunication can impact on the way in which medications are managed across healthcare settings. Organisational cultures and the environmental context provide an added complexity to how communication occurs in practice. The aims of this paper are: to examine six models relating to medication safety in various hospital and community settings, to consider the strengths and limitations of each model and to explore their applications to medication safety practices. The models examined for their ability to address the complexity of the medication communication process include causal models, such as the Human Error Model and the System Analysis to Clinical Incidents Model, and exploratory models, such as the Shared Decision‐Making Model, the Medication Decision‐Making and Management Model, the Partnership Model and the Medication Communication Model. The Medication Communication Model provides particular insights into possible interactions between aspects that influence medication safety practices. The implications of all six models for healthcare practice and future research are also discussed.

Development of economic globalization and integration of resources to promote cross-border flows of insurance, international insurance activities of transnational norms and ensure that the international insurance market operation order and national stability and development of the insurance industry the legal system - the International Insurance Act, under international law system derived emerging legal discipline. International Insurance Act of generation is a necessary requirement for development of the times. Study of international insurance law, should clarify the "International Insurance" phenomenon and the "International Insurance Law" to start understanding, revealing the international insurance and related legal emergence and development of the times and world economic developments. On this basis, by analyzing the definition of the basic concepts of international insurance law and nature of international economic law at the international insurance system under the legal research tasks and content, for the enrichment and development of norms of international economic activity and content of international economic law system has laid the theoretical study basis. Legal research by revealing the state of international insurance and challenges, thereby contributing to international research and development of the insurance law. The International Insurance Law, a new rising law subject which governing the cross-bonier insurance activities and assuring the moving order of international insurance market and insurance industries in varies countries, comes out under the developing environment of economic globalization and integration that promotes the cross- border movement of insurance resources. From clarifying the phenomena of 'International Insurance' and 'International Insurance Law', this paper mainly focuses on the analysis on the following issue: the concept and nature of International Insurance Law, the study mission and contents of the subject of International Insurance Law, and expounds the study status of the subject of International Insurance and challenges facing, thus promoting the development of the subject of International Insurance

To explore the number of latent variables underlying recognition of own- and other-race faces for Chinese observers, we conducted a study-recognition task where orientation, stimuli type, and duration were manipulated in the study phase and applied state trace analysis as a statistic method. Results showed that each state trace plot on each pair of stimuli types matched a single monotonic curve when stimuli type was set to state factor, but separate curves between face and non-face showed up when the state factor was orientation. The results implied that at least two latent variables affected recognition performance in the inversion paradigm. Besides, the unidimensional structure between own- and other-race faces regardless of the state factor suggested that Chinese participants used the same recognition mechanism for unfamiliar own- and other-race faces in the inversion paradigm.

The debate between ‘inclusive’ and ‘dominant’ interpretations of Aristotle's concept of happiness (eudaimonia) has become one of the thorniest problems of Aristotle interpretation. In this paper, I attempt to solve this problem by presenting a multi-step argument for an ‘all-inclusive’ thesis, i.e., the Aristotelian philosopher or contemplator, in the strict sense, is someone who already possesses all the intellectual virtues (except technē), all the moral virtues (by way of the possession of phronēsis), and considerable other goods. If this thesis is correct, the inclusive and dominant interpretations will converge, for the philosopher turns out to be the happiest human being both in the inclusive and dominant senses.

Accountability is a core element for groups and societies to operate efficiently. However, there have been confusing findings in previous studies on felt accountability, and few efforts have been made to clarify its complicated role. Drawing on self-determination theory, we developed an integrative model to examine the double-edged sword effect of felt accountability on work outcomes and individual wellbeing. We utilized a three-wave sample of 294 employees to test our hypotheses. The findings supported our hypotheses. Specifically, felt accountability is positively related to both task performance and emotional exhaustion, and obsessive passion mediates the positive relationship between felt accountability and task performance, while work overload mediates the positive relationship between felt accountability and emotional exhaustion. This study integrates the positive and dark sides of felt accountability, provides new insights into its mechanism and expands the application of self-determination theory.

Metro driver is the prime person who is responsible for metro operation safety. The mental health of a metro driver is very important for the operation of the subway and requires the driver to keep high mental alertness to monitor the surrounding environment and also handle emergencies under uncertain or dangerous conditions. After a long-term occupational strain, a metro driver is likely to suffer from some mental health problems, such as anxiety and depression, that ultimately threaten the lives of passengers. Therefore, in this study, we focus on the psychological symptoms of metro drivers from the angle of occupational strain and neuroticism. A total of 396 metro drivers from Kunming Rail Transit Operation Co., Ltd. in China were investigated through a questionnaire survey. Symptom Checklist-90, Personal Strain Questionnaire, and NEO-Five-Factor Inventory-Neuroticism Subscale were applied to evaluate the psychological symptoms, occupational strain, and neuroticism in metro drivers, respectively. The surveyed data were analyzed by SPSS software. Based on the data, a path structural equation model was established to explore the correlation among occupational strain, psychological symptoms, and neuroticism. The results show that the scores for psychological symptoms and occupational strain are higher than the Chinese adult norm among metro drivers. The occupational strain, neuroticism, and psychological symptoms are all positively correlated in the metro drivers. Occupational stress has a direct influence on the psychological symptom, while neuroticism plays a partial mediation role between occupational strain and psychological symptoms. The results of this study can be applied to optimize the employee selection system and training system for metro operation companies.

The results of the National Higher Education Entrance Examination have a life-long effect on most Chinese by labeling them clever or not. Some of the following rules of the Gaokao enhance the damage, for example, the rule of Who, What and Where. In general, Who you are and What you have done are of secondary importance, but Where you graduated from, especially the college of first-record is the most important, but discriminatory criterion in the recruitment courses of most of scientific communities and social organizations in China.

By investigating the status quo of the swimming training market in a certain area, we can obtain information on the current development of the swimming training market in a certain area and study the laws of the development of the market so as to provide a theoretical basis for the development of the market. This paper designs an evaluation algorithm suitable for swimming training based on the improved AlexNet network. The algorithm model uses a 3 × 3 size convolution kernel to extract features, and the pooling layer uses a nonoverlapping pooling strategy. In order to accelerate the network convergence, the model introduces batch normalization technology. The algorithm uses data augmentation technology to expand the data set, including rotation and random erasure, to a certain extent alleviating the problem of overfitting. The results of the study showed that there were no significant differences in fat, minerals, protein, body mass index, basal metabolic rate, and total energy expenditure in the body composition ratios of children in the convolutional neural network assessment group and the control group, while muscle and total body water were not significantly different. However, there are significant differences in fat-free body weight and muscle strength of various segments of the body, among which there are very significant differences in muscle strength of lower limbs in each segment of the body. There were no significant differences in minerals, body mass index, basal metabolic rate, total energy expenditure, and lower limb muscle strength in the body composition ratios of men and women in the convolutional neural network assessment group. There are significant differences in body weight, upper limb muscle strength, and trunk muscle strength. There were no significant differences in the proportions of body composition between men and women in the control group, except for fat and protein.

The COVID-19 pandemic affects all population segments and is especially detrimental to university students because social interaction is critical for a rewarding campus life and valuable learning experiences. In particular, with the suspension of in-person activities and the adoption of virtual teaching modalities, university students face drastic changes in their physical activities, academic careers, and mental health. Our study applies a machine learning approach to explore the gender differences among U.S. university students in response to the global pandemic. Leveraging a proprietary survey dataset collected from 322 U.S. university students, we employ association rule mining techniques to identify and compare psychological, cognitive, and behavioral patterns among male and female participants. To formulate our task under the conventional ARM framework, we model each unique question-answer pair of the survey questionnaire as a market basket item. Consequently, each participant's survey report is analogous to a customer's transaction on a collection of items. Our findings suggest that significant differences exist between the two gender groups in psychological distress and coping strategies. In addition, the two groups exhibit minor differences in cognitive patterns and consistent preventive behaviors. The identified gender differences could help professional institutions to facilitate customized advising or counseling for males and females in periods of unprecedented challenges.

This paper investigates the distribution characteristics of word lengths in the Dream of the Red Chamber, measured in terms of the number of syllables or characters. The results show that the frequency distribution of words of different lengths in the DRC abides by the extended logarithmic distribution model. A comparison between the first forty, the middle forty, and the last forty chapters shows that the distribution of word lengths in these three parts does not differ significantly, which sheds light on the authorship of the novel.

This paper addresses the robust output feedback model predictive control schemes for networked control systems with input quantization. The logarithmic quantizer is considered in this paper, and the sector bound approach is applied, which appropriately treats the quantization error as a sector-bounded uncertainty. The presented method involves an offline designed state observer using linear matrix inequality and online robust output feedback MPC algorithms which optimize one free control move followed by the output feedback using the estimated state. Moreover, due to the uncertainty of estimation error, a technique of refreshing the bound of estimation error which involves the quantization error is provided so as to guarantee the recursive feasibility of the optimization problem. The proposed MPC schemes inherit the characteristics of the synthesis approach of MPC, guaranteeing the recursive feasibility of the optimization problem and the stability of a closed-loop system, and explicitly account for quantization error. Two simulation examples are given to illustrate the effectiveness of the proposed methods.

Health professionals communicate with each other about medication information using different forms of documentation. This article explores knowledge and power relations surrounding medication information exchanged through documentation among nurses, doctors and pharmacists. Ethnographic fieldwork was conducted in 2010 in two medical wards of a metropolitan hospital in Australia. Data collection methods included participant observations, field interviews, video‐recordings, document retrieval and video reflexive focus groups. A critical discourse analytic framework was used to guide data analysis. The written medication chart was the main means of communicating medication decisions from doctors to nurses as compared to verbal communication. Nurses positioned themselves as auditors of the medication chart and scrutinised medical prescribing to maintain the discourse of patient safety. Pharmacists utilised the discourse of scientific judgement to guide their decision‐making on the necessity of verbal communication with nurses and doctors. Targeted interdisciplinary meetings involving nurses, doctors and pharmacists should be organised in ward settings to discuss the importance of having documented medication information conveyed verbally across different disciplines. Health professionals should be encouraged to proactively seek out each other to relay changes in medication regimens and treatment goals.

Time is a necessary element in understanding AI art. Firstly, time reveals the historical process by which art-theoretical predicates move from the unmarked to the marked, which can thus be utilized as a defense for arguing the legitimacy of AI art as art. Furthermore, AI art should be seen as a “new” art that is temporally ahead of the descriptive forms of art theory. Secondly, time provides a unique interpretation of AI artworks’ characteristics and aesthetic experience. The absence of experience, the de-depth of AI artworks, and the “short experience/short memory” aesthetic mode of the masses are closely linked to the scarcity of time in an age of acceleration. Finally, time reflects the loss of “aura” and the new end of art that AI art may bring about. Time provides a defense and explanation of AI art, as well as a perspective for reflecting on the development of art in contemporary times.