Enterprise creation & anti-commons in developing economies: evidence from World Bank doing business data

Abstract: This paper looks at the tragedy of anti-commons and its implications on enterprise creation in developing economies. The most important features of the anti-commons are captured under a simplified theoretical economic model. The empirical part uses the data from “Doing Business” of the World Bank, to test for the high costs implied by scattered and fragmented decisions related to enterprise creation in developing economies. The attained results show the prevalence of anti-commons in relation to the development of new enterprises in developing economies relative to more developed countries. This points out how anti-commons can limit development and market economies through reducing business and enterprise creation and expansion. Awareness and development of appropriate remedies to anti-commons are among the means to ensure higher economic and social achievements.Anti-commons, Enterprise Creation, Licensing and Costs

Transforming Uncertainties into Risks and Poverty Alleviation: Lessons Learnt from the Successful Rescuing of Miners in Chile

Abstract: The objective of this paper is to suggest how the Chilean model used to rescue the 33 miners trapped underground, can be used to accelerate the development of new means for poverty alleviation mainly in developing economies. For that, the Chilean model is described and analyzed within the framework of uncertainty and risk with emphasis on the success of all operations, under time constraints. The attained results underline that this “point in time” process can be used to extract poor individuals and households and sustain their inclusion in normal economic and social activities. But, this is conditioned on the development of further participative research-actions, innovations and monitoring processes applied to multiple small scales, well localized and targeted poverty alleviation projectsUncertainty, risks, miners, Chili, poverty alleviation

Enterprise creation & anti-commons in developing economies: evidence from World Bank doing business data

Abstract: This paper looks at the tragedy of anti-commons and its implications on enterprise creation in developing economies. The most important features of the anti-commons are captured under a simplified theoretical economic model. The empirical part uses the data from “Doing Business” of the World Bank, to test for the high costs implied by scattered and fragmented decisions related to enterprise creation in developing economies. The attained results show the prevalence of anti-commons in relation to the development of new enterprises in developing economies relative to more developed countries. This points out how anti-commons can limit development and market economies through reducing business and enterprise creation and expansion. Awareness and development of appropriate remedies to anti-commons are among the means to ensure higher economic and social achievements

Transforming Uncertainties into Risks and Poverty Alleviation: Lessons Learnt from the Successful Rescuing of Miners in Chile

Abstract: The objective of this paper is to suggest how the Chilean model used to rescue the 33 miners trapped underground, can be used to accelerate the development of new means for poverty alleviation mainly in developing economies. For that, the Chilean model is described and analyzed within the framework of uncertainty and risk with emphasis on the success of all operations, under time constraints. The attained results underline that this “point in time” process can be used to extract poor individuals and households and sustain their inclusion in normal economic and social activities. But, this is conditioned on the development of further participative research-actions, innovations and monitoring processes applied to multiple small scales, well localized and targeted poverty alleviation project

Enterprise creation & anti-commons in developing economies: evidence from World Bank doing business data

Abstract: This paper looks at the tragedy of anti-commons and its implications on enterprise creation in developing economies. The most important features of the anti-commons are captured under a simplified theoretical economic model. The empirical part uses the data from “Doing Business” of the World Bank, to test for the high costs implied by scattered and fragmented decisions related to enterprise creation in developing economies. The attained results show the prevalence of anti-commons in relation to the development of new enterprises in developing economies relative to more developed countries. This points out how anti-commons can limit development and market economies through reducing business and enterprise creation and expansion. Awareness and development of appropriate remedies to anti-commons are among the means to ensure higher economic and social achievements

A systematic review of attention deficit hyperactivity disorder (ADHD) and mathematical ability: current findings and future implications

Background: Several recent behavioural and behavioural genetic studies have investigated the relationship between attention deficit hyperactivity disorder (ADHD) and mathematical ability. The aim of this systematic review was to provide an overview of these studies to date. An emphasis was placed on reviewing results that explored the association between mathematics and the two ADHD components of attention and hyperactivity-impulsivity separately. Methods: A systematic search of quantitative studies investigating the association between mathematics and ADHD was conducted across five databases (PsychINFO, Web of Science, PubMed, EMBASE, and Scopus). A total of 30 cross-sectional and four longitudinal studies were included in this review. Results: Narrative synthesis of the results was provided using PRISMA guidelines. Taken together, the studies pointed at substantial evidence for a negative association between ADHD symptoms and mathematical ability. This association was particularly marked for the inattentive component of ADHD than for the hyperactive-impulsive component. Evidence from twin studies also showed a significant genetic correlation between mathematics and ADHD, which was greater for the inattentive component of ADHD compared to the hyperactive-impulsive component. Conclusions: The differential relationship of the hyperactivity-impulsivity and inattention domains with mathematics emphasises the heterogeneity within the disorder and suggests a partially different aetiology of the two ADHD domains. A better understanding of the aetiology of ADHD could help develop more efficient interventions aimed at the reduction of its symptoms. It could also offer an explanatory framework for shortcomings in achievement an

Epigenetic differences in monozygotic twins discordant for major depressive disorder

Although monozygotic (MZ) twins share the majority of their genetic makeup, they can be phenotypically discordant on several traits and diseases. DNA methylation is an epigenetic mechanism that can be influenced by genetic, environmental and stochastic events and may have an important impact on individual variability. In this study we explored epigenetic differences in peripheral blood samples in three MZ twin studies on major depressive disorder (MDD). Epigenetic data for twin pairs were collected as part of a previous study using 8.1-K-CpG microarrays tagging DNA modification in white blood cells from MZ twins discordant for MDD. Data originated from three geographical regions: UK, Australia and the Netherlands. Ninety-seven MZ pairs (194 individuals) discordant for MDD were included. Different methods to address non independently-and-identically distributed (non-i.i.d.) data were evaluated. Machine-learning methods with feature selection centered on support vector machine and random forest were used to build a classifier to predict cases and controls based on epivariations. The most informative variants were mapped to genes and carried forward for network analysis. A mixture approach using principal component analysis (PCA) and Bayes methods allowed to combine the three studies and to leverage the increased predictive power provided by the larger sample. A machine-learning algorithm with feature reduction classified affected from non-affected twins above chance levels in an independent training-testing design. Network analysis revealed gene networks centered on the PPAR-γ (NR1C3) and C-MYC gene hubs interacting through the AP-1 (c-Jun) transcription factor. PPAR-γ (NR1C3) is a drug target for pioglitazone, which has been shown to reduce depression symptoms in patients with MDD. Using a data-driven approach we were able to overcome challenges of non-i.i.d. data when combining epigenetic studies from MZ twins discordant for MDD. Individually, the studies yielded negative results but when combined classification of the disease state from blood epigenome alone was possible. Network analysis revealed genes and gene networks that support the inflammation hypothesis of MDD

Activation of K(v)7 channels with the anticonvulsant retigabine alleviates neuropathic pain behaviour in the streptozotocin rat model of diabetic neuropathy

Diabetic peripheral neuropathy (DPN) is the most incapacitating complication of diabetes mellitus. Up to 50% of patients with DPN develop peripheral neuropathic pain (PNP). The underlying ionic and molecular mechanisms of diabetic PNP (DPNP) are poorly understood. However, voltage gated potassium (K7) channels which have been implicated in the pathogenesis of other types of PNP are likely to be involved. Here we examined, in the streptozotocin (STZ) rat model of DPNP, whether activating the Kv7 channels with a potent activator retigabine (ezogabine) would reverse/attenuate behavioural signs of DPNP. STZ rats exhibited behavioural indices of mechanical and heat hypersensitivity, but not cold hypersensitivity or spontaneous pain, 35 days after STZ injection. Retigabine given at a dose of 15 mg/kg (but not at 7.5 mg/kg, i.p.) significantly attenuated mechanical, but not heat hypersensitivity in DPNP rats, and was as effective as the positive control gabapentin. This analgesic effect of retigabine was completely reversed by the K7/M channel blocker XE991 (3 mg/kg, i.p.) indicating that the anti-allodynic effects of retigabine were mediated by K7 channels. In conclusion, the findings suggest that Kv7 channels are involved in DPNP pathogenesis, and that strategies that target their activation may prove to be effective in treating DPNP

An integrated analysis of genes and functional pathways for aggression in human and rodent models

Human genome-wide association studies (GWAS), transcriptome analyses of animal models, and candidate gene studies have advanced our understanding of the genetic architecture of aggressive behaviors. However, each of these methods presents unique limitations. To generate a more confident and comprehensive view of the complex genetics underlying aggression, we undertook an integrated, cross-species approach. We focused on human and rodent models to derive eight gene lists from three main categories of genetic evidence: two sets of genes identified in GWAS studies, four sets implicated by transcriptome-wide studies of rodent models, and two sets of genes with causal evidence from online Mendelian inheritance in man (OMIM) and knockout (KO) mice reports. These gene sets were evaluated for overlap and pathway enrichment to extract their similarities and differences. We identified enriched common pathways such as the G-protein coupled receptor (GPCR) signaling pathway, axon guidance, reelin signaling in neurons, and ERK/MAPK signaling. Also, individual genes were ranked based on their cumulative weights to quantify their importance as risk factors for aggressive behavior, which resulted in 40 top-ranked and highly interconnected genes. The results of our cross-species and integrated approach provide insights into the genetic etiology of aggression

Bigmelon:Tools for analysing large DNA methylation datasets

Motivation The datasets generated by DNA methylation analyses are getting bigger. With the release of the HumanMethylationEPIC micro-array and datasets containing thousands of samples, analyses of these large datasets using R are becoming impractical due to large memory requirements. As a result there is an increasing need for computationally efficient methodologies to perform meaningful analysis on high dimensional data. Results Here we introduce the bigmelon R package, which provides a memory efficient workflow that enables users to perform the complex, large scale analyses required in epigenome wide association studies (EWAS) without the need for large RAM. Building on top of the CoreArray Genomic Data Structure file format and libraries packaged in the gdsfmt package, we provide a practical workflow that facilitates the reading-in, preprocessing, quality control and statistical analysis of DNA methylation data. We demonstrate the capabilities of the bigmelon package using a large dataset consisting of 1193 human blood samples from the Understanding Society: UK Household Longitudinal Study, assayed on the EPIC micro-array platform. copy; 2018 The Author(s). Published by Oxford University Press.</p