Sino-Poland intercollegiate cooperation in tertiary education: The case study of “Nicolaus Copernicus University 3 + 1 + 2 intercollegiate cooperation” project

Purpose: This paper aims to identify the strengths and challenges of Sino-Poland intercollegiate cooperation in tertiary education projects and give recommendations for such cross-culture cooperation projects.Methodology/approach: This paper utilized qualitative study analysis that conducted and interpreted semi-structured in-depth individual interviews with Chinese students participating in "Nicolaus Copernicus University 3 + 1 + 2 intercollegiate cooperation" project. Data is coded and analyzed using sentiment analysis.Findings: The study shows that Sino-Poland intercollegiate cooperation is gradually developing, which has apparent strengths, including increased the number of Chinese students, promotion of Sino-Poland university cooperation, and creation of distinctive cooperation models. However, some of the challenges that have emerged include project overly seeking profit-oriented, the declining admission standards, and cultural differences in Sino-Poland tertiary education cooperation and competition from universities in other European countries.Implications: The results of the study give practical suggestions for Sino-Poland intercollegiate cooperation. As Sino-Poland intercollegiate cooperation is still in its infancy, Chinese and Poland universities should innovate their cooperation models in a cross-cultural context, enhance their communication, and publicize their projects extensively to promote mutual benefits. Simultaneously, the cooperation projects should not be profit-driven and lower the admissions standards because the cooperation projects' reputation is also crucial.Originality/value: The study contributes to the theory development on cross-cultural cooperation between Sino-Poland tertiary education, in particular, it offers insights into the challenges that arise in Sino-Poland intercollegiate cooperation projects and how to develop better cooperation models in the future so that Sino-Poland tertiary education cooperation can develop its own unique symbiotic culture and management model.Keywords: Sino-Poland, cross-culture cooperation, tertiary education, intercollegiate cooperationPaper type: Case stud

Examining Scientific Writing Styles from the Perspective of Linguistic Complexity

Publishing articles in high-impact English journals is difficult for scholars around the world, especially for non-native English-speaking scholars (NNESs), most of whom struggle with proficiency in English. In order to uncover the differences in English scientific writing between native English-speaking scholars (NESs) and NNESs, we collected a large-scale data set containing more than 150,000 full-text articles published in PLoS between 2006 and 2015. We divided these articles into three groups according to the ethnic backgrounds of the first and corresponding authors, obtained by Ethnea, and examined the scientific writing styles in English from a two-fold perspective of linguistic complexity: (1) syntactic complexity, including measurements of sentence length and sentence complexity; and (2) lexical complexity, including measurements of lexical diversity, lexical density, and lexical sophistication. The observations suggest marginal differences between groups in syntactical and lexical complexity.Comment: 6 figure

Role of CCR3 in aging rhesus monkey brain

Each year, aging and age-related deficits in cognitive function affect larger population worldwide. Research on aging has focused on changes in gray matter and white matter with age. A quantitative analysis of magnetic resonance images from healthy subjects of 16-79 years showed a significant negative correlation between gray matter volume and age (Taki et al., 2004). In addition, age-related cognitive decline is reported to be associated with white matter changes such as myelin damage, a result of both the inability of microglia to clear out damaged myelin debris and oligodendrocyte to support remyelination. Eotaxin-1 (CCL11) belongs to a group of eosinophil-specific chemoattractant originally found in peripheral immune system mediating allergic inflammation, asthma and atopic dermatitis (Garcia-Zepeda et al., 1996; Spergel, Mizoguchi, Oettgen, Bhan, & Geha, 1999). Recently it has been reported to have endogenous sources in the CNS and to increase with age in cerebral spinal fluid (CSF) as well as periphery in blood plasma. While CCL11 has been identified to increase with age, injection of CCL11 inhibit neurogenesis in young mice, which is likely to be mediated by C-C chemokine receptor type 3 (CCR3). CCR3 is also the only receptor for CCL11 that is expressed by oligodendrocyte precursor cells (OPCs) and by activated microglia in mice, which means it may participate in the process of microglial phagocytosis and oligodendrocyte myelination. To investigate if CCR3 is an important factor in the normal aging brain and its potential role in these existing findings, immunohistochemistry, stereology and densitometry were performed in the anterior cingulate cortex and cingulum from brain tissue of 4 young adults and 6 aged rhesus monkeys that were behaviorally tested previously to 1) demonstrate any association between CCR3 expression level and age 2) characterize changes in CCR3 level in relation to cognitive impairment 3) identify cellular localization of CCR3. We found a significant increase in amount of CCR3 cingulate cortex with age, which suggests its pro-disease effect in other pathways such as the interaction between CNS and T cell immune system. Although for aged group increase in CCR3+ cell density in white matter appeared insignificant, we found that CCR3 was expressed exclusively in OPCs but was absent in mature oligodendrocytes. indicating its role in OPC proliferation, oligodendrocyte maturation and myelination

Has China caught up to the US in AI research? An exploration of mimetic isomorphism as a model for late industrializers

Artificial Intelligence (AI), a cornerstone of 21st-century technology, has seen remarkable growth in China. In this paper, we examine China's AI development process, demonstrating that it is characterized by rapid learning and differentiation, surpassing the export-oriented growth propelled by Foreign Direct Investment seen in earlier Asian industrializers. Our data indicates that China currently leads the USA in the volume of AI-related research papers. However, when we delve into the quality of these papers based on specific metrics, the USA retains a slight edge. Nevertheless, the pace and scale of China's AI development remain noteworthy. We attribute China's accelerated AI progress to several factors, including global trends favoring open access to algorithms and research papers, contributions from China's broad diaspora and returnees, and relatively lax data protection policies. In the vein of our research, we have developed a novel measure for gauging China's imitation of US research. Our analysis shows that by 2018, the time lag between China and the USA in addressing AI research topics had evaporated. This finding suggests that China has effectively bridged a significant knowledge gap and could potentially be setting out on an independent research trajectory. While this study compares China and the USA exclusively, it's important to note that research collaborations between these two nations have resulted in more highly cited work than those produced by either country independently. This underscores the power of international cooperation in driving scientific progress in AI