scholarly journals Non-random associations in group housed rats (Rattus norvegicus)

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Leanne Proops ◽  
Camille A. Troisi ◽  
Tanja K. Kleinhappel ◽  
Teresa Romero
Keyword(s):  
Network Analysis ◽  
Empirical Evidence ◽  
Rattus Norvegicus ◽  
Dominance Hierarchy ◽  
Group Living ◽  
Ecological Factors ◽  
Limited Evidence ◽  
Rat Strains ◽  
Social Species ◽  
Over Time

AbstractEcological factors, such as predation, have traditionally been used to explain sociability. However, it is increasingly recognised that individuals within a group do not associate randomly, and that these non-random associations can generate fitness advantages. The majority of the empirical evidence on differentiated associations in group-living mammals, however, comes from a limited number of taxa and we still know very little about their occurrence and characteristics in some highly social species, such as rats (Rattus spp.). Here, using network analysis, we quantified association patterns in four groups of male fancy rats. We found that the associations between rats were not randomly distributed and that most individuals had significantly more preferred/avoided associates than expected by random. We also found that these preferences can be stable over time, and that they were not influenced by individuals’ rank position in the dominance hierarchy. Our findings are consistent with work in other mammals, but contrast with the limited evidence available for other rat strains. While further studies in groups with different demographic composition are warranted to confirm our findings, the occurrence of differentiated associations in all male groups of rats have important implications for the management and welfare of captive rat populations.

Developing a sustainable Digital Health Innovation Ecosystem in a rural and resource-poor region: A monitored networking approach (Preprint)

2020 ◽  
Author(s):  
Arunangsu Chatterjee ◽  
Sebastian Stevens ◽  
Sheena Asthana ◽  
Ray B Jones
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Data Collection ◽  
Digital Health ◽  
Resource Poor Setting ◽  
Quadruple Helix ◽  
Innovation Ecosystem ◽  
Resource Poor ◽  
Quadruple Helix Model ◽  
Over Time

BACKGROUND Digital health (DH) innovation ecosystems (IE) are key to the development of new e-health products and services. Within an IE, third parties can help promote innovation by acting as knowledge brokers and the conduits for developing inter-organisational and interpersonal relations, particularly for smaller organisations. Kolehmainen’s quadruple helix model suggests who the critical IE actors are, and their roles. Within an affluent and largely urban setting, such ecosystems evolve and thrive organically with minimal intervention due to favourable economic and geographical conditions. Facilitating and sustaining a thriving DH IE within a resource-poor setting can be far more challenging even though far more important for such peripheral economics and the health and well-being of those communities. OBJECTIVE Taking a rural and remote region in the UK, as an instance of an IE in a peripheral economy, we adapt the quadruple helix model of innovation, apply a monitored social networking approach using McKinsey’s Three Horizons of growth to explore: • What patterns of connectivity between stakeholders develop within an emerging digital health IE? • How do networks develop over time in the DH IE? • In what ways could such networks be nurtured in order to build the capacity, capability and sustainability of the DH IE? METHODS Using an exploratory single case study design for a developing digital health IE, this study adopts a longitudinal social network analysis approach, enabling the authors to observe the development of the innovation ecosystem over time and evaluate the impact of targeted networking interventions on connectivity between stakeholders. Data collection was by an online survey and by a novel method, connection cards. RESULTS Self-reported connections between IE organisations increased between the two waves of data collection, with Small and Medium-sized Enterprises (SMEs) and academic institutions the most connected stakeholder groups. Patients involvement improved over time but still remains rather peripheral to the DH IE network. Connection cards as a monitoring tool worked really well during large events but required significant administrative overheads. Monitored networking information categorised using McKinsey’s Three Horizons proved to be an effective way to organise networking interventions ensuring sustained engagement. CONCLUSIONS The study reinforces the difficulty of developing and sustaining a DH IE in a resource-poor setting. It demonstrates the effective monitored networking approach supported by Social Network Analysis allows to map the networks and provide valuable information to plan future networking interventions (e.g. involving patients or service users). McKinsey’s Three Horizons of growth-based categorisation of the networking assets help ensure continued engagement in the DH IE contributing towards its long-term sustainability. Collecting ongoing data using survey or connection card method will become more labour intensive and ubiquitous ethically driven data collection methods can be used in future to make the process more agile and responsive.

Media Malaise and the Decline of Legitimacy

2017 ◽  
Author(s):  
Peter Van Aelst
Keyword(s):  
Systematic Review ◽  
Empirical Evidence ◽  
Media Coverage ◽  
News Coverage ◽  
Political Support ◽  
Level Of Education ◽  
Political News ◽  
Negative Tone ◽  
Election News ◽  
Over Time

This chapter analyzes media malaise theories and their consequences for legitimacy. These theories argue that the increasing availability of information through new and old media and increasingly negative tone of media are to blame for declining legitimacy. The chapter examines these claims by providing a systematic review of empirical research on media and political support. It first investigates whether news coverage has become more negative over time, and then examines the micro process that might explain the link between media coverage and political support. Empirical evidence suggests that where coverage has become more negative, this occurred before the 1990s and has levelled off since, and is concentrated primarily in election news. Negative political news does have a modest impact on political support once controlled for level of education, but that effect can be positive and negative, depending on the medium, the receiver, and the indicator of political support.

scholarly journals Personality dynamics at work: The effects of form, time, and context of variability

2021 ◽  
pp. 089020702110173
Author(s):  
Nadin Beckmann ◽  
Damian P Birney ◽  
Amirali Minbashian ◽  
Jens F Beckmann
Keyword(s):  
Individual Differences ◽  
Cognitive Ability ◽  
Temporal Stability ◽  
Limited Evidence ◽  
Short Term ◽  
State Data ◽  
The Status ◽  
Over Time ◽  
Trait Variability

The study aimed to investigate the status of within-person state variability in neuroticism and conscientiousness as individual differences constructs by exploring their (a) temporal stability, (b) cross-context consistency, (c) empirical links to selected antecedents, and (d) empirical links to longer term trait variability. Employing a sample of professionals ( N = 346) from Australian organisations, personality state data together with situation appraisals were collected using experience sampling methodology in field and repeatedly in lab-like settings. Data on personality traits, cognitive ability, and motivational mindsets were collected at baseline and after two years. Contingent (situation contingencies) and non-contingent (relative SD) state variability indices were relatively stable over time and across contexts. Only a small number of predictive effects of state variability were observed, and these differed across contexts. Cognitive ability appeared to be associated with state variability under lab-like conditions. There was limited evidence of links between short-term state and long-term trait variability, except for a small effect for neuroticism. Some evidence of positive manifold was found for non-contingent variability. Systematic efforts are required to further elucidate the complex pattern of results regarding the antecedents, correlates and outcomes of individual differences in state variability.

scholarly journals A Bibliometric Network Analysis of Coronavirus during the First Eight Months of COVID-19 in 2020

2021 ◽  
Vol 18 (3) ◽  
pp. 952 ◽  
Author(s):  
Leonardo B. Furstenau ◽  
Bruna Rabaioli ◽  
Michele Kremer Sott ◽  
Danielli Cossul ◽  
Mariluza Sott Bender ◽  
...  
Keyword(s):  
Decision Making ◽  
Network Analysis ◽  
Web Of Science ◽  
Future Research ◽  
Future Trends ◽  
Damage Prevention ◽  
Over Time ◽  
The Web

The COVID-19 pandemic has affected all aspects of society. Researchers worldwide have been working to provide new solutions to and better understanding of this coronavirus. In this research, our goal was to perform a Bibliometric Network Analysis (BNA) to investigate the strategic themes, thematic evolution structure and trends of coronavirus during the first eight months of COVID-19 in the Web of Science (WoS) database in 2020. To do this, 14,802 articles were analyzed, with the support of the SciMAT software. This analysis highlights 24 themes, of which 11 of the more important ones were discussed in-depth. The thematic evolution structure shows how the themes are evolving over time, and the most developed and future trends of coronavirus with focus on COVID-19 were visually depicted. The results of the strategic diagram highlight ‘CHLOROQUINE’, ‘ANXIETY’, ‘PREGNANCY’ and ‘ACUTE-RESPIRATORY-SYNDROME’, among others, as the clusters with the highest number of associated citations. The thematic evolution. structure presented two thematic areas: “Damage prevention and containment of COVID-19” and “Comorbidities and diseases caused by COVID-19”, which provides new perspectives and futures trends of the field. These results will form the basis for future research and guide decision-making in coronavirus focused on COVID-19 research and treatments.

THE EFFECT OF INDUSTRIAL REVITALIZATION IN DEVELOPED COUNTRIES ON INDUSTRIAL EXPORTS OF CHINA

2021 ◽  
pp. 1-21
Author(s):  
SIZHUO CHEN
Keyword(s):  
Empirical Evidence ◽  
Difference Method ◽  
Developed Countries ◽  
Difference In Difference ◽  
Proxy Variables ◽  
Over Time

This study analyzes the effects of industrial revitalization in developed countries on China’s industrial exports. Using a rich panel dataset and a difference-in-difference method, I find empirical evidence consistent with the hypothesis that industrial revitalization policies in developed countries discourage China’s industrial exports, and these effects have become more apparent over time. This finding is robust to other proxy variables for industrial revitalization policies and robustness checks.

scholarly journals The Economic Impact of New Firms in Punjab

2015 ◽  
Vol 20 (Sspecial Edition) ◽  
pp. 143-182
Author(s):  
Azam Chaudhry ◽  
Maryiam Haroon
Keyword(s):  
Empirical Evidence ◽  
Positive Impact ◽  
Socioeconomic Impact ◽  
Firm Entry ◽  
New Firms ◽  
Socioeconomic Outcomes ◽  
Different Types ◽  
New Firm ◽  
New Firm Entry ◽  
Over Time

Despite the consensus that new firms have a significant economic and socioeconomic impact, there is very little empirical evidence to support this claim in the Pakistani context. In this paper, we start by looking at how new firm entry varies across districts in Punjab over time. We then look at how the establishment of different types of firms across these districts has affected district-level socioeconomic outcomes in the province. We find that firm entry has a positive impact on economic outcomes such as employment and enrollment, and that this impact can vary by the scale of the firms that enter.

scholarly journals European Banking Network in Light of the Single Supervisory Mechanism from the Network Analysis Perspective

2015 ◽  
Vol 6 (1) ◽  
pp. 35-57 ◽  
Author(s):  
Mária Širaňová
Keyword(s):  
Network Analysis ◽  
Financial Stability ◽  
Geographic Distance ◽  
Topological Properties ◽  
Economic Space ◽  
Single Supervisory Mechanism ◽  
Cross Border ◽  
European Banking ◽  
Positive Step ◽  
Over Time

In this paper we discuss the topological properties of the European banking network and its evolution over time based on the BIS consolidated banking statistics data exploiting information from complex network analysis. Our conclusions are discussed in light of the soon-to-be-launched Single Supervisory Mechanism that takes into account, among other things, the significance of cross-border activity as a precondition for specifying the systemically important European credit institutions. According to our results, the banking network of the EU13 economic space can be characterized as highly asymmetric with a tendency to create clusters based on geographic distance and cultural and social similarities. Additionally, the highly exposed countries are usually dependent on a small number of major creditors while creditor countries tend to spread their power over dependent countries more equally. We advocate that the presence of heterogeneity and asymmetry in the network and a decrease in the level of foreign banking across Europe could be mitigated by the introduction of SSM, and from this perspective it should be viewed as a positive step towards greater financial stability.

scholarly journals Respecting Autonomy Over Time: Policy and Empirical Evidence on Re-Consent in Longitudinal Biomedical Research

Bioethics ◽  
2015 ◽  
Vol 30 (3) ◽  
pp. 210-217 ◽  
Author(s):  
Susan E Wallace ◽  
Elli G Gourna ◽  
Graeme Laurie ◽  
Osama Shoush ◽  
Jessica Wright
Keyword(s):  
Empirical Evidence ◽  
Biomedical Research ◽  
Over Time

scholarly journals The Case Against Patents

2013 ◽  
Vol 27 (1) ◽  
pp. 3-22 ◽  
Author(s):  
Michele Boldrin ◽  
David K Levine
Keyword(s):  
Political Economy ◽  
General Equilibrium ◽  
Empirical Evidence ◽  
Policy Change ◽  
Rent Seeking ◽  
Partial Equilibrium ◽  
The Political ◽  
General Equilibrium Effect ◽  
Equilibrium Effect ◽  
Over Time

The case against patents can be summarized briefly: there is no empirical evidence that they serve to increase innovation and productivity, unless productivity is identified with the number of patents awarded—which, as evidence shows, has no correlation with measured productivity. Both theory and evidence suggest that while patents can have a partial equilibrium effect of improving incentives to invent, the general equilibrium effect on innovation can be negative. A properly designed patent system might serve to increase innovation at a certain time and place. Unfortunately, the political economy of government-operated patent systems indicates that such systems are susceptible to pressures that cause the ill effects of patents to grow over time. Our preferred policy solution is to abolish patents entirely and to find other legislative instruments, less open to lobbying and rent seeking, to foster innovation when there is clear evidence that laissez-faire undersupplies it. However, if that policy change seems too large to swallow, we discuss in the conclusion a set of partial reforms that could be implemented

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