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15. Greenfield FDIs as a catalyst for technological collaborations between European regions and emerging countries.

Author

De Noni, Ivan, Belussi, Fiorenza, and Gu, Yanting

Subjects
FOREIGN investments, EMERGING markets, PROTECTIONISM, GLOBALIZATION, PATENTS, TECHNOLOGICAL progress
Abstract

This research emphasizes the increasing role of emerging countries in the advancement of future technologies and investigates the extent to which greenfield foreign direct investments (FDIs) can represent a bridge capable of stimulating technological collaboration opportunities between European regions and emerging countries. Utilizing a balanced panel dataset spanning 15 years from 2003 to 2017 and covering 286 European regions, we conducted a study that integrated collaborative patent data and foreign investments with emerging countries. Our findings indicate that technological collaboration primarily depends on inward FDIs (from emerging countries to Europe) rather than outward FDIs (from Europe to emerging countries). Furthermore, we discovered that a mutually reinforcing process can significantly enhance this collaboration. In this context, such a process acts as a cornerstone for the European Union (EU), offering a potential solution to navigate the paradoxical pressure between the rise of protectionism in response to the imbalances and inequalities stemming from globalization and the need to promote an environment conducive to global openness, competition and innovation. [ABSTRACT FROM AUTHOR]

Published
2024
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36. A Prediction Equation to Estimate Vascular Endothelial Function in Different Body Mass Index Populations

Author

Li, Xiao, Liu, Hanying, Zhang, Yan, Gu, Yanting, Sun, Lianjie, Yu, Haoyong, and Bai, Wenkun

Subjects
Cardiology and Cardiovascular Medicine
Abstract

ObjectiveVascular endothelial dysfunction is considered an early predictor of endothelial injury and the initiating factor of atherosclerosis (AS). Brachial artery flow-mediated dilation (FMD) can detect endothelial injury early and provide important prognostic information beyond traditional cardiovascular (CV) risk factors. This study aimed to find the influencing factors of FMD and develop a simple prediction model in populations with different body mass indices (BMIs).MethodsIn total, 420 volunteers with different BMIs were recruited in our study. Subjects were randomly assigned to the derivation and validation cohorts (the ratio of the two was 1:2) with simple random sampling. The former was used for influencing factors searching and model construction of FMD and the latter was used for verification and performance evaluation.ResultsThe population was divided into two groups, i.e., 140 people in the derivation group and 280 people in the verification group. Analyzing in the training data, we found that females had higher FMD than males (p < 0.05), and FMD decreased with age (p < 0.05). In people with diabetes, hypertension or obesity, FMD was lower than that in normal individuals (p < 0.05). Through correlation analysis and linear regression, we found the main influencing factors of FMD: BMI, age, waist-to-hip radio (WHR), aspartate aminotransferase (AST) and low-density lipoprotein (LDL). And we developed a simple FMD prediction model: FMD = −0.096BMI−0.069age−4.551WHR−0.015AST−0.242LDL+17.938, where R2 = 0.599, and adjusted R2 = 0.583. There was no statistically significant difference between the actual FMD and the predicted FMD in the verification group (p > 0.05). The intra-class correlation coefficient (ICC) was 0.77. In a Bland-Altman plot, the actual FMD and the predicted FMD also showed good agreement. This prediction model had good hints in CV risk stratification (area under curve [AUC]: 0.780, 95 % confidence intervals [95% CI]: 0.708–0.852, p < 0.001), with a sensitivity and specificity of 73.8 and 72.1%, respectively.ConclusionsMales, older, obesity, hypertension, diabetes, smoking, etc. were risk factors for FMD, which was closely related to CV disease (CVD). We developed a simple equation to predict FMD, which showed good agreement between the training and validation groups. And it would greatly simplify clinical work and may help physicians follow up the condition and monitor therapeutic effect. But further validation and modification bears great significance.

Published
2022

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