Sustaining Higher Education Quality by Building an Educational Innovation Ecosystem in China—Policies, Implementations and Effects

This article analyzes how China has worked to develop and build a higher education innovation ecosystem in the past decade. Binding its analysis to three types of data, namely clusters of national policies issued by important Chinese government bodies, dozens of articles in an internal journal of the Ministry of Education, and various Chinese media accounts, the article unravels how resources are mobilized and the direction chartered for unprecedented engagement between different stakeholders for education purposes. The findings reveal that the establishment of a higher education innovation ecosystem derives from the need to improve the overall higher education quality in full swing and has been realized as a strategic consensus among the government, enterprises, higher education, and social forces. The ecosystem is underpinned by the assigning of different roles to different stakeholders based on collaboration and division of labor. At the same time, there is also substantive capital, resource mobility, and the infusion of industrial technological expertise underpinning such an innovation ecosystem that involves six categories of collaboration at macro and micro levels. The impact of the higher education innovation ecosystem thus far includes deepened and extensive participation in higher education quality improvement by multiple types of stakeholders and the same type of stakeholders across different tiers. Instructors’ teaching and students’ learning have experienced changes due to the ecosystem’s impact at a micro level, and many institutions have increased shared governance practices to better cater to the synergy among different sides. At the same time, there is an unevenness in the innovation ecosystem in terms of participating higher education institutions and enterprises

Sustaining Higher Education Quality by Building an Educational Innovation Ecosystem in China—Policies, Implementations and Effects

This article analyzes how China has worked to develop and build a higher education innovation ecosystem in the past decade. Binding its analysis to three types of data, namely clusters of national policies issued by important Chinese government bodies, dozens of articles in an internal journal of the Ministry of Education, and various Chinese media accounts, the article unravels how resources are mobilized and the direction chartered for unprecedented engagement between different stakeholders for education purposes. The findings reveal that the establishment of a higher education innovation ecosystem derives from the need to improve the overall higher education quality in full swing and has been realized as a strategic consensus among the government, enterprises, higher education, and social forces. The ecosystem is underpinned by the assigning of different roles to different stakeholders based on collaboration and division of labor. At the same time, there is also substantive capital, resource mobility, and the infusion of industrial technological expertise underpinning such an innovation ecosystem that involves six categories of collaboration at macro and micro levels. The impact of the higher education innovation ecosystem thus far includes deepened and extensive participation in higher education quality improvement by multiple types of stakeholders and the same type of stakeholders across different tiers. Instructors’ teaching and students’ learning have experienced changes due to the ecosystem’s impact at a micro level, and many institutions have increased shared governance practices to better cater to the synergy among different sides. At the same time, there is an unevenness in the innovation ecosystem in terms of participating higher education institutions and enterprises

The soil organic matter dynamic by using different compost organic manure in a vegetable system in North China

A field experiment with four treatments was conducted in Beijing suburb from 2006 to 2008 to study the soil organic matter (SOM) dynamic. The four treatments were chicken manure compost, cattle manure compost, biogas ferment residue compost and control (no fertilizer input). All the manured treatments had same total N input. The results showed that there was no significant difference of dry matter yield among the manured treatments, but they were all higher than the control. The SOM from chicken manure compost, cattle manure compost and biogas ferment residua treatment increased 85.4%, 31.9% and 20.9%, respectively, compared to the no fertilizer input plot. There was high N-leaching risk after crop harvest from biogas compost treatment in the soil compared to others. The Nmin residua in 90-180 cm soil depth got 808 kg N ha-1

Expression and Clinical Significance of Progesterone and Adiponectin Receptor Family Member 3 in Lung Cancer

Background and objective Progesterone and adiponectin receptor family member 3 (PAQR3) is a recently discovered tumor suppressor gene, which affects the development of a tumor by inhibiting cell proliferation, cell malignant transformation, angiogenesis, and tumor metastasis. This study investigates the expression of PAQR3 in lung cancer and its clinical significance. Methods A total of 106 patients with lung cancer received surgical treatment in hospital, and adjacent normal tissues of these patients were utilized as control group. The diagnosis of all patients was confirmed through clinical pathology. The expression of PAQR3 protein was detected by immunohistochemistry in lung cancer and adjacent normal tissues. The clinical significance of its expression was also investigated. Results The positive expression rate of PAQR3 protein in lung cancer was lower than that in adjacent normal tissues (P<0.01). The positive expression rate of PAQR3 protein was unrelated to age, tumor size, and gender, but it exhibited a significant relationship with the pathological type and differentiation, TNM staging, and lymph node metastasis (P<0.05). Kaplan-Meier survival analysis showed that the five-year survival rate of patients with PAQR3 protein positive expression was higher than that in patients with negative expression (P=0.026). Conclusion The expression of PAQR3 protein significantly decreased in lung cancer, indicating that PAQR3 protein plays an important role in the pathogenesis of PAQR3 in lung cancer