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The mevalonate-diphosphate decarboxylase (MVD) gene, a member of the mevalonate pathway, plays a critical role in regulating the biosynthesis of cholesterol, steroid hormones, and non-steroid isoprenoids. Previous studies have suggested that the MVD c.746 T > C mutation is a major pathogenic gene of porokeratosis (PK), an autoinflammatory keratinization disease (AIKD) with unclear pathogenesis, few effective treatments, and no suitable animal model. To investigate the function of MvdF250S/+ mutation, we developed a novel MvdF250S/+ mouse model carrying an equivalent point mutation to the most common genetic variation among Chinese PK patients (MVDF249S/+) using CRISPR/Cas9 technology, which exhibited reduced cutaneous expression of Mvd protein. In the absence of external stimulation, MvdF250S/+ mice did not display specific phenotypes. However, upon induction with imiquimod (IMQ), MvdF250S/+ mice exhibited decreased susceptibility to skin acute inflammation compared to wild-type (WT) mice, as evidenced by reduced cutaneous proliferation and lower protein levels of IL-17a and IL-1β. Additionally, after IMQ induction, the MvdF250S/+mice exhibited downregulated collagen generation and upregulated expression of Fabp3 compared to WT mice, whereas no significant changes in the key genes related to cholesterol regulation were found. Furthermore, the MvdF250S/+ mutation activated autophagy. Our findings provided insights into the biological function of MVD in the skin. [ABSTRACT FROM AUTHOR]

Online health communities (OHCs) provide knowledge for users, enabling conversations across a broad range of health topics. The development of OHCs depends on users' motivations to share health knowledge. Yet little literature has explored how perceived benefits and costs affect users' motivations for sharing both general and specific knowledge. Based on social exchange theory, we propose a research model that comprises intrinsic benefits (sense of self-worth, satisfaction), extrinsic benefits (social support, reputation, and online attention), cognitive cost, and executional cost to investigate the effects of these factors on users' motivations for general and specific knowledge sharing. We compare the different effects of these factors on users' motivations for knowledge sharing. Results demonstrate positive effects of intrinsic and extrinsic benefits on users' motivations for general and specific knowledge sharing. Differences exist in the negative effects of cognitive and executional costs on users' motivations for general and specific knowledge sharing. This study contributes to promoting the enrichment of online health knowledge and provides implications for the development of OHCs. [ABSTRACT FROM AUTHOR]

In this study, the process and outcome of a web-based planning application, called Ports of Call, are discussed. The application allows college management to create, edit, and report out activities relating to college plans, all through a web browser. Its design was based on best practices in modern web technology and the application can be easily implemented in any setting. Its openness and ease of use invite clear inspection of the college's goal achievement by the general public and provide just-in-time feedback for rapid change. The study identifies four advantages in using the tool. (Contains 4 figures.)

This article sketches a research agenda for the further study of community college student transitions. Specific techniques are depicted as are potential data sources that can be used to pursue that agenda. The role of student tracking systems in transition research is discussed as well as the applicability of national surveys to the study of transitions. The use of new typologies of community college students is presented as a way to understand student transitions. The article concludes with recommendations for community college institutional researchers to position their institutions to better facilitate successful student transitions including the use of recent innovations to track student interactions with institutions. (Contains 1 table and 19 online resources.)

The authors provide an overview of data mining, giving special attention to the relationship between data mining and statistics to unravel some misunderstandings about the two techniques. (Contains 1 figure.)

As a tour de force, data mining is likely to gain wider use in the next few years. To facilitate this transition, we make several recommendations addressed to both institutional research professionals and the Association of Institutional Research.

Based on a taxonomy of knowledge management processes, provides a synopsis of technologies and vendors that support knowledge management. Proposes a model for classifying the various types of technologies related to knowledge management that are most often used in institutional research. (EV)

Defines knowledge management, its components, processes, and outcomes. Addresses the importance of knowledge management for higher education in general and for institutional research in particular. (EV)

Examines the theoretical basis for data mining, one of the essential knowledge management processes, and uses a case study to describe its application and impact. (EV)