Perceptual Factors Affecting the Tendency to Collaboration in SMEs: Perceived Importance of Collaboration Modes and Partners

This research aims to explore key factors of SMEs’ external collaboration and identifies the perceived factors affecting propensity for collaboration. Particularly, we focus on two factors – internal strategic activities geared towards open innovation and external collaboration partners, both of which are essential to establishing an external collaboration. We conducted a survey of Korean SMEs regarding their collaboration project experiences, and used logistic regression analysis to analyze the survey data. The research findings are expected to help understanding the complex open innovation mechanism in SMEs and to have meaningful implications for the development of their collaboration model

Current status of the predicted satellite imagery generation in NMSC/KMA

Póster presentado en: 3rd European Nowcasting Conference, celebrada en la sede central de AEMET en Madrid del 24 al 26 de abril de 2019

What factors of early-stage innovative projects are likely to drive projects’ success? A longitudinal analysis of Korean entrepreneurial firms

Previous studies have identified the factors affecting successful technology commercialization as outcomes of R&D projects. However, most of them have used cross‐sectional data, whereas there is a dearth of literature using longitudinal data analysis. Longitudinal analysis is essential for investigating the characteristics of early‐stage innovative projects due to the inherent time lag between project evaluation and commercialization. Therefore, this study examines the early‐stage project characteristics that can be used as meaningful evaluation criteria for predicting success, particularly in technology commercialization. We collected data on the ex‐ante evaluation results and ex‐post commercialization results of R&D projects pursued by entrepreneurial firms. We then conducted a logistic regression analysis and identified three market‐related factors as significant in driving technology commercialization success in the early stages of technology development: market potential, commercialization plan, and market condition

Donepezil Regulates LPS and Aβ-Stimulated Neuroinflammation through MAPK/NLRP3 Inflammasome/STAT3 Signaling

The acetylcholinesterase inhibitors donepezil and rivastigmine have been used as therapeutic drugs for Alzheimer’s disease (AD), but their effects on LPS-and Aβ-induced neuroinflam-matory responses and the underlying molecular pathways have not been studied in detail in vitro and in vivo. In the present study, we found that 10 or 50 μM donepezil significantly decreased the LPS-induced increases in the mRNA levels of a number of proinflammatory cytokines in BV2 mi-croglial cells, whereas 50 μM rivastigmine significantly diminished only LPS-stimulated IL-6 mRNA levels. In subsequent experiments in primary astrocytes, donepezil suppressed only LPS-stimulated iNOS mRNA levels. To identify the molecular mechanisms by which donepezil regulates LPS-induced neuroinflammation, we examined whether donepezil alters LPS-stimulated proin-flammatory responses by modulating LPS-induced downstream signaling and the NLRP3 inflam-masome. Importantly, we found that donepezil suppressed LPS-induced AKT/MAPK signaling, the NLRP3 inflammasome, and transcription factor NF-kB/STAT3 phosphorylation to reduce neuroin-flammatory responses. In LPS-treated wild-type mice, a model of neuroinflammatory disease, donepezil significantly attenuated LPS-induced microglial activation, microglial density/morphol-ogy, and proinflammatory cytokine COX-2 and IL-6 levels. In a mouse model of AD (5xFAD mice), donepezil significantly reduced Aβ-induced microglial and astrocytic activation, density, and mor-phology. Taken together, our findings indicate that donepezil significantly downregulates LPS-and Aβ-evoked neuroinflammatory responses in vitro and in vivo and may be a therapeutic agent for neuroinflammation-associated diseases such as AD. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.1

d-Ribose stabilizes precursor and mature ribose-binding proteins of Escherichia coli

AbstractHeat- and guanidine hydrochloride-induced unfolding and refolding of precursor as well as mature ribose-binding proteins of Escherichia coli were studied in the presence of d-ribose using intrinsic tyrosine fluorescence and circular dichroism. The precursor and mature proteins have shown virtually identical unfolding-folding behavior. It was observed that d-ribose refolds partially unfolded precursor and mature ribose binding proteins into native structure and decreases the unfolding rate of the these proteins. The conformational stabilities of these proteins were found to increase with increasing d-ribose concentration

Where technology transfer research originated and where it is going: a quantitative analysis of literature published between 1980 and 2015

Abstract This study aims to identify both where technology transfer research originated and whereitisgoing.Aquantitativeapproachwas adoptedinthis studytoobservethetrendsfrom an objective perspective. To do this, longitudinal bibliographic data of journal papers describing technology transfer from 1980 to 2015 are collected. Topic modeling and co-authorship network analyses are then applied to classify topics and identify an evolution of research groups. First, the principaltransferagentischangedfromgovernmentalorganizationstouniversities,astechnology donors,whileindustryplaystheroleoftechnologyrecipients.Second,majortechnology?eldsthat researchershavefocusedonfollowsociallyattractiveinterests.Third,thescopeoffocusgradually moves from national level research or international transfers to organizational level research. In addition,technologytransferresearchseemstochangefromatechnologytransferapplicationtoa dynamictechnologytransferprocess.Inaddition,sixtopicsareidenti?edandfurtherdiscussedto understand future research directions. The research ?ndings are expected to help us understand research trends in technology transfer and, thus, are expected to provide valuable insights to researchers in this ?eld and policy makers who are in charge of developing policies to support technology transfer.Keywords Technology transfer Research trends Topic modeling Co-authorship network Emerging topic