Qian Zhang

The shift from the conventional agri-food system to alternative practices is a challenging transition for agricultural producers, yet surprisingly under-studied. Little research has examined the social and cultural processes in rural communities that mobilize producers and construct and sustain producer-driven alternative food networks (AFNs). For AFNs to go beyond just offering “alternative foods” or “alternative networks” and to be constructed as “alternative economies”, this transformation in the producer community is indispensable. This paper presents a case study of a rural cooperative in Shanxi, China. The discontent with both productivist agriculture and the social decay in communities motivated a group of women to engage in a decade-long process of social mobilization, cultural reconstruction, and learning by experimentation. Through this, they developed an alternative vision and successfully created a localized alternative socio-economic model, which I call “anti-productivism”. It prioritizes ecological sustainability, self-reliance, reciprocity, and cultural values over output maximization, productivity growth, commodity exchange, and monetary gains. This case contrasts sharply with the urban-initiated, consumer-driven AFNs studied in the China literature, which mostly just offered alternative foods but brought little change to the producer community. It shows that the alternative economy must be embedded in an alternative community united by strong social bonds and shared cultural values.

In the context of English as a foreign language classroom, affections that form between teacher and students may affect the teaching/learning process. This review aimed to investigate the related studies on the effect of teacher-learner interpersonal relationships on learners’ educational performance in English as a Foreign Language (EFL) educational contexts. This review concluded that there is a significant constructive correlation between teacher-learner interpersonal relationships and learners’ academic achievement. Learners are required to have some sense of belonging to improve their educational performance. Moreover, other positive emotional factors such as grit, wellbeing, self-efficacy, academic engagement, motivation, and foreign language enjoyment can mediate the association between teacher-learner interpersonal relationships and learners’ academic success. The study concludes with some implications for English learners, English language teachers, and English language teacher trainers. The ideas can improve their awareness of teacher-student interpersonal relationships, including teacher stroke, rapport, and teacher immediacy and their role in improving learners’ foreign language learning.

“Beauty” is a very important concept in Pre-Qin Confucian aesthetics. Pre-Qin Confucian aesthetics generally had two viewpoints when defining beauty: Negatively, by stressing that “beauty” in the aesthetic sense was not “good”; and positively, by stressing two factors: one, that beauty was related to “feeling” which was not an animal instinct, the other was that “beauty” was a special texture with a particular meaning. “Beauty” in Pre-Qin Confucian aesthetics may be defined as “texture (or form)” capable of communicating feeling or triggering a reaction of feeling.

The purpose of this paper was to examine moral judgment competency of a sample of 811 Chinese college students from a Southern university in mainland China with DIT-2; and test whether gender, education, major, academic performance, and one-child policy have significant effect on the participants’ moral judgment competency. Results show that the participants score high in both Personal Interest schema and Postconventional schema, while low in Maintaining Norms schema. Gender and major have significant effect on participants’ moral judgment competency in China, while education level, academic performance and one-child family have no significant effect on their moral judgment competency. Reasons are discussed in the paper.

The human spindle and kinetochore associated complex is required for proper mitotic progression. Extensive studies have demonstrated its important functions in both stable kinetochore-microtubule interactions and spindle checkpoint silencing. We suggest a model to explain how various Ska functions might be fulfilled by distinct pools of Ska at kinetochores. The Ndc80-loop pool of Ska is recruited by the Ndc80 loop, or together with some of its flanking sequences, and the recruitment is also dependent on Cdk1-mediated Ska3 phosphorylation. This pool seems to play a more important role in silencing the spindle checkpoint than stabilizing kinetochore-microtubule interactions. In contrast, the Ndc80-N-terminus pool of Ska is recruited by the N-terminal domains of Ndc80 and appears to be more important for stabilizing kinetochore-microtubule interactions. Here, we review and discuss the evidence that supports this model and suggest further experiments to test the functioning mechanisms of the Ska complex. The human spindle and kinetochore associated complex plays essential functions in proper mitotic progression by promoting stable kinetochore-microtubule interactions and spindle checkpoint silencing. We propose that “distinct pools” of Ska—the Ndc80-loop and Ndc80-N-terminus pools—might fulfill these various functions.

Prosocial cartoon is characterized by helping others solve difficulties, including helping, donating, sharing, comforting, and cooperating. The current study examined whether viewing a prosocial cartoon decreases aggression immediately upon exposure and the potential mediating role of aggressive motivation. Participants involve 168 children nominated by teachers as aggressive from three Chinese kindergartens. Children in the treatment group watched a prosocial cartoon, while children in the control group watched a nonprosocial cartoon. Afterward, the Hot Sauce Task was employed to assess aggressive behavior, and Aggressive Motivation Questionnaire was employed to assess aggressive motivation. Results revealed that viewing a prosocial cartoon did reduce children’s aggression immediately upon exposure. Specifically, males showed less aggressive behavior than females upon prosocial cartoon exposure, while males showed more aggressive behavior than females upon nonprosocial cartoon exposure. Mediational analysis suggested that the prosocial cartoon effect on aggression was partially mediated by aggressive motivation, especially for males. Consistent with general aggression model, findings of the study indicated that short-term exposure to a prosocial cartoon decreased children’s aggression by reducing aggressive motivation.

The Chinese version of Rest’s Defining Issues Test II was administered to 113 subjects in Mainland China. The scores on development of moral judgment were compared with those of the online mega sample of American participants from 2011 to 2014. Results are as followings: 1. Chinese participants show the same pattern with Americans by both sex and education. 2. Chinese participants show different pattern from Americans by religious orthodoxy and humanitarian. 3. Chinese participants score higher in meaningless items than Americans. 4. Chinese participants score higher in stage 3 while Americans score higher in stage 4. The authors draw the conclusions as follows: with Chinese participants, 1. There is a significant relationship between education and moral judgment developmental index scores. 2. There is also a significant relationship between sex and moral judgment developmental index scores. 3. There shows no significant relationship between religious orthodoxy and moral judgment developmental index scores. 4. It is more difficult for them to tell the meaningless items in DIT2. 5. Since Chinese culture thinks less of laws and norms, Chinese participants favour personal interest schema more than maintaining norms schema.

This study explores how the academic experience of executives affects green innovation. Using data on executive academic experience from a sample of Chinese listed companies, we explore the relationship between executive academic experience and green innovation using a combination of qualitative and quantitative methods. We find that executive academic experience has a positive impact on green innovation. We also investigate the moderating effect of managerial discretionary factors organizational slack, nature of property rights, and degree of market competition. The results show that organizational slack positively moderates the relationship between senior managers’ academic experience and green innovation, and this positive relationship is more significant in state-owned enterprises. The degree of market competition had a negative moderating effect on the positive relationship between academic experience of senior managers and green innovation. Improved general competence and concern for the environment are two possible mechanisms by which senior managers’ academic experience affects green innovation. Our findings suggest that academic experience of senior managers is an important factor for green innovation in emerging market firms.

To solve a series of pension problems caused by aging, based on the emotional recognition of the Internet of Things, the control method and system research of smart homes are proposed. This article makes a detailed analysis and research on the necessity, feasibility, and how to realize speech emotion recognition technology in smart families, introduces the definition and classification of emotion, and puts forward five main emotions to be recognized in speech emotion recognition based on smart family environment. Then, based on this, it analyses the acquisition methods of emotional speech data. On this premise, this article discusses and analyses the related problems of voice data acquisition in smart homes, such as the voice characteristics and acquisition methods, puts forward three rules for voice text design, and determines the relatively suitable hybrid recording acquisition method applied in a smart home environment. At the same time, the design and establishment process of intelligent family emotional speech database is described in detail. The related problems of feature extraction in speech emotion recognition are studied. Starting from the definition of feature extraction, this article expounds on the necessity of feature extraction in the process of recognition and analyses the characteristics of the speech signals. For the specific environment of the smart family, the speech signal required to be processed needs to be close to the auditory characteristics of the human ears, and the speech signal contains enough information. Finally, the Mel frequency cepstrum coefficient is selected as the feature parameter applied in this article, and the extraction process of MFCC is introduced in detail.

As the primary value system in Chinese culture for almost 2,000 years, Confucianism has profoundly influenced the mindset of Chinese people. Cultural psychology studies have highlighted that individuals with different cultural backgrounds vary in their preferences for certain personality traits, such as self-construal, and their metacognitive characteristics, such as thinking modes. Compared with Western cultures, Chinese culture shows a preference for the interdependent self and holistic thinking. To investigate the relationship between the relational-interdependent self, holistic thinking, and traditional Chinese values, we surveyed 327 Chinese adults using the Confucian Traditional Values Survey, Holistic Thinking Scale, and Relational-Interdependent Self-Construal Scale. The results show that Confucian values positively influence both holistic thinking and the relational-interdependent self, the latter of which partially mediates the positive relationship between Confucian values and holistic thinking. This study deepens the understanding of the psychological features of Chinese culture.

In emerging countries such as China where the government is gradually withdrawing from involvement in social affairs, firms face dilemmas around relational risks of partnering with different forms of nongovernmental organizations (NGOs). Affiliated NGOs (those with close relationships with government) are more likely to sabotage the social partnership through misconduct, and are also capable of higher standards of collaborative social performance compared with independent NGOs (those with few such relationships). This study proposes that firms’ political embeddedness helps mitigate relational risks in cross-sector partner selection, and finds that politically connected firms are more likely to partner with affiliated NGOs than with independent NGOs in China. This effect is more pronounced for private firms that are less socially oriented or are located in regions with less-developed formal institutions and social trust. Our findings highlight relational risks relevant to cross-sector partner selection literature and offer important insights into how relational risks can be reduced in cross-sector partner selection in emerging countries.

In a social network, a user is greatly influenced by their neighbors’ opinions, and the user’s opinion updating can be regarded as the prisoner’s dilemma game. In view of such considerations, this paper proposes an opinion evolution and control model based on the prisoner’s dilemma game and gives the corresponding opinion evolution and control algorithm. Under different initial positive opinion proportions, different opinion control levels, and the same control threshold value and under different initial positive opinion proportions, different opinion control levels, and different opinion control threshold values in a scale-free network, the experiments illustrate the opinion evolution trends and control strategies according to the measures of changing the opinion control levels and opinion control threshold values for network regulators. The experiments show that the lower the initial positive opinion proportion is and the smaller the control opinion threshold value chosen by the network regulators is, the lower the opinion control level is; the larger the initial positive opinion proportion is and the larger the control opinion threshold value chosen by the network regulators is, the lower the opinion control level is.

Non‐coding centromeres, which dictate kinetochore formation for proper chromosome segregation, are extremely divergent in DNA sequences across species but are under active transcription carried out by RNA polymerase (RNAP) II. The RNAP II‐mediated centromeric transcription has been shown to facilitate the deposition of the centromere protein A (CENP‐A) to centromeres, establishing a conserved and critical role of centromeric transcription in centromere maintenance. Our recent work revealed another role of centromeric transcription in chromosome segregation: maintaining centromeric cohesion during mitosis. Interestingly, this role appears to be fulfilled through ongoing centromeric transcription rather than centromeric transcripts. In addition, we found that centromeric transcription may not require some of the traditional transcription initiation factors, suggestive of “uniqueness” in its regulation. In this review, we discuss the novel role and regulation of centromeric transcription as well as the potential underlying mechanisms.

PurposeWhite matter damage (WMD) was defined as the appearance of rough and uneven echo enhancement in the white matter around the ventricle. The aim of this study was to develop and validate a risk prediction model for neonatal WMD.Materials and MethodsWe collected data for 1,733 infants hospitalized at the Department of Neonatology at The First Affiliated Hospital of Zhengzhou University from 2017 to 2020. Infants were randomly assigned to training (n= 1,216) or validation (n= 517) cohorts at a ratio of 7:3. Multivariate logistic regression and least absolute shrinkage and selection operator (LASSO) regression analyses were used to establish a risk prediction model and web-based risk calculator based on the training cohort data. The predictive accuracy of the model was verified in the validation cohort.ResultsWe identified four variables as independent risk factors for brain WMD in neonates by multivariate logistic regression and LASSO analysis, including gestational age, fetal distress, prelabor rupture of membranes, and use of corticosteroids. These were used to establish a risk prediction nomogram and web-based calculator (https://caowenjun.shinyapps.io/dynnomapp/). The C-index of the training and validation sets was 0.898 (95% confidence interval: 0.8745–0.9215) and 0.887 (95% confidence interval: 0.8478–0.9262), respectively. Decision tree analysis showed that the model was highly effective in the threshold range of 1–61%. The sensitivity and specificity of the model were 82.5 and 81.7%, respectively, and the cutoff value was 0.099.ConclusionThis is the first study describing the use of a nomogram and web-based calculator to predict the risk of WMD in neonates. The web-based calculator increases the applicability of the predictive model and is a convenient tool for doctors at primary hospitals and outpatient clinics, family doctors, and even parents to identify high-risk births early on and implementing appropriate interventions while avoiding excessive treatment of low-risk patients.