scholarly journals The Interdependence between the Capital Region and Regional Economic Zones: An Integrated Approach of Regional Interindustry Analysis and Network Analysis

2009 ◽  
Vol 23 (2) ◽  
pp. 133-178
Author(s):  
박길환
2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Paola Paci ◽  
Giulia Fiscon ◽  
Federica Conte ◽  
Rui-Sheng Wang ◽  
Lorenzo Farina ◽  
...  

AbstractIn this study, we integrate the outcomes of co-expression network analysis with the human interactome network to predict novel putative disease genes and modules. We first apply the SWItch Miner (SWIM) methodology, which predicts important (switch) genes within the co-expression network that regulate disease state transitions, then map them to the human protein–protein interaction network (PPI, or interactome) to predict novel disease–disease relationships (i.e., a SWIM-informed diseasome). Although the relevance of switch genes to an observed phenotype has been recently assessed, their performance at the system or network level constitutes a new, potentially fascinating territory yet to be explored. Quantifying the interplay between switch genes and human diseases in the interactome network, we found that switch genes associated with specific disorders are closer to each other than to other nodes in the network, and tend to form localized connected subnetworks. These subnetworks overlap between similar diseases and are situated in different neighborhoods for pathologically distinct phenotypes, consistent with the well-known topological proximity property of disease genes. These findings allow us to demonstrate how SWIM-based correlation network analysis can serve as a useful tool for efficient screening of potentially new disease gene associations. When integrated with an interactome-based network analysis, it not only identifies novel candidate disease genes, but also may offer testable hypotheses by which to elucidate the molecular underpinnings of human disease and reveal commonalities between seemingly unrelated diseases.


Author(s):  
Yoonju Lee ◽  
Heejin Kim ◽  
Hyesun Jeong ◽  
Yunhwan Noh

This study aimed to identify the prevalence and patterns of multimorbidity among Korean adults. A descriptive study design was used. Of 11,232 adults aged 18 and older extracted from the 2014 Korean Health Panel Survey, 7118 had one or more chronic conditions. The chronic conditions code uses the Korean Standard Classification of Diseases. Association rule analysis and network analysis were conducted to identify patterns of multimorbidity among 4922 participants with multimorbidity. The prevalence of multimorbidity in the overall population was 34.8%, with a higher prevalence among women (40.8%) than men (28.6%). Hypertension had the highest prevalence in both men and women. In men, diabetes mellitus and hypertension yielded the highest probability of comorbidity (10.04%). In women, polyarthrosis and hypertension yielded the highest probability of comorbidity (12.51%). The results of the network analysis in four groups divided according to gender and age showed different characteristics for each group. Public health practitioners should adopt an integrated approach to manage multimorbidity rather than an individual disease-specific approach, along with different strategies according to age and gender groups.


Author(s):  
I. Ibrahim ◽  
M. W. B. Khalid ◽  
G. Shoukat ◽  
M. Sajid

This paper discusses the results of a study regarding the impact of using Project-Based Learning (PBL) to enhance the understanding of the concepts related to Pipe Network Analysis, a subtopic of Fluid Mechanics, studied by students enrolled in a mechanical engineering degree. It has been frequently reported by students and professors alike, that a lecture-only approach is not effective in terms of helping students grasp the fundamentals of a subject, nor does it help students in actual problem solving where different variables have to be catered to, which may have been ignored in a conventional lecture. Therefore, in this study, a more open-ended, complex project-based approach was used in addition to the lectures on the subject of Pipe Network Analysis. The project required students to design a pipe network for a scaled setup based on specified fluid flow and pressure head requirements at different nodes. An experimental setup that implemented these pipe networks was also developed in order to validate the theoretical results. The students’ grades and their documented responses were used as the criterion for compiling and analyzing the results. We also describe how we incorporated PBL into the classrooms in order to improve the learning experience, and evaluate the efficacy of the proposed method. The overall results show that the students were proactively engaged in the PBL activity, linking their knowledge to the real world, which ultimately led to improved concept development.


Author(s):  
Gibson Moreira Praça ◽  
Raphael Brito e Sousa ◽  
Sarah Da Glória Teles Bredt ◽  
Filipe Manuel Clemente ◽  
Israel Teoldo ◽  
...  

This study aimed to 1) present a new analysis of the interactions between the tactical principles of defensive coverage and delay using the Social Network Analysis (SNA); 2) compare the defensive cooperation patterns presented by players of different categories during a 3vs.3 soccer small-sided games SSG; 3) compare the level of defensive prominence presented by defenders, midfielders, and forwards in 3vs.3 SSG within and between different categories. Twenty-eight soccer athletes from U-13 (n=14) and U-14 (n=14) categories of a sports club performed 3vs.3 SSG for the analysis of the defensive tactical principles. Defensive interactions were considered successful defensive coverage and a delay actions performed within the same time interval. Macro (density and clustering coefficient) and micro (degree centrality, degree prestige and page rank) analyses were used as SNA measures. Results indicated no significant differences between categories for the macro and micro analyses. Only in the U-14 category, midfielders presented higher prominence levels than the other playing positions (p=0.004). We concluded that U-13 and U-14 athletes are not different regarding defensive cooperation patterns. A higher positional tactical knowledge obtained through deliberate practice is essential to induce different defensive interactions between playing positions, as shown by significant differences only in the U-14 category.


2015 ◽  
Vol 8 (1) ◽  
pp. 6-22 ◽  
Author(s):  
Oliwier Dziadkowiec ◽  
Scott Wituk ◽  
Debra Franklin

Purpose – The purpose of this study is to evaluate the composition and strengths/weaknesses and major actors of a coalition of regional economic leaders in the composites participating in the Workforce Innovations in Regional Economic Development (WIRED) project aimed at supporting high-skilled and high-wage careers. Design/methodology/approach – Social network analysis (SNA) was used to assess south-central (SC) Kansas WIRED coalition (n = 81) based on three surveys question: Who do you know? Who do you communicate with? and Who do you collaborate with? All the surveys were administered online in two waves. Findings – SC Kansas WIRED network has a strong core, well-defined periphery and is immune to key actor losses, which suggests that they are well developed and sustainable. The well-defined periphery positions the collaborative to reach out to resources outside of the network and innovation. Practical implications – SC Kansas WIRED Leadership team used the SNA to identify opportunities for further collaboration and reach out to individuals and groups who are not engaged well with others but are positioned well for sparking innovation and bringing resources to the region. Originality/value – There are few analytic resources to empirically examine coalitions/collaboratives and the human and economic resources embedded in them. The results of this study and the feedback from SC Kansas WIRED Leadership team suggests that SNA was very valuable in identifying areas for action or improvement of the SC Kansas WIRED collaborative and can be utilized for effective decision-making.


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