Majority Rule in a Stochastic Model of Bargaining

In this paper we consider multilateral stochastic bargaining models with general agreement rules. For n-player games where in each period a player is randomly selected to allocate a stochastic level of surplus and qNONCOOPERATIVE BARGAINING; VOTING RULES; STOCHASTIC GAMES

Modeling of convection phenomena in Bridgman-Stockbarger crystal growth

Thermal convection phenomena in a vertically oriented Bridgman-Stockbarger apparatus were modeled by computer simulations for different gravity conditions, ranging from earth conditions to extremely low gravity, approximate space conditions. The modeling results were obtained by the application of a state-of-the art, transient, multi-dimensional, completely densimetrically coupled, discrete-element computational model which was specifically developed for the simulation of flow, temperature, and species concentration conditions in two-phase (solid-liquid) systems. The computational model was applied to the simulation of the flow and the thermal conditions associated with the convection phenomena in a modified Germanium-Silicon charge enclosed in a stationary fused-silica ampoule. The results clearly indicated that the gravitational field strength influences the characteristics of the coherent vortical flow patterns, interface shape and position, maximum melt velocity, and interfacial normal temperature gradient

ENHANCED WINTER HARDINESS IN COMMON VETCH (VICIA SATIVA L.) FOR AUTUMN-SOWING IN THE CENTRAL HIGHLANDS OF TURKEY

In central Turkey, common vetch is planted in spring, but frequent droughts cause crop failures. Autumn-sown vetch has more yield potential; but then winter killing is a major problem. Therefore, winter hardiness is a central requirement for successful vetch production. This study comprised two phases. First, eighteen lines out of 164 accessions were selected for their superiority, primarily for winter hardiness and earliness in 1999/00. Second, the selected lines along two local checks (var. SarıElçi and cv. KaraElçi) were evaluated for yield performances in multi-year trials established in autumn and spring from 2000 to 2003. Autumn-sown vetch displayed 14.9% greater yield potential than spring vetch. As winter mortality decreased, seed yield increased in two cold environments (r2=0.41 and r2=0.54). The two genotypes (L-1430 and L-1548) showed the greatest stability across six environments, while L-581 and L-1544 were the best lines for autumn sowing. In conclusion, the level of variation found in the base populations did clearly show potential for further development, and multi-environment trials singled out the V. sativa genotypes with enhanced winter hardiness

Volumetric measurements of the subcortical structures of healthy adult brains in the Turkish population

Background: The interest in the morphological development of brain structures during childhood and adolescence arises from discussions on subcortical anomalies and sexual dimorphism, from adolescent changes in cognitive functions supported by cortical and subcortical structures to a wide range of childhood neuropsychiatric diseases. This study aims to investigate the relationships subcortical structures regarding age/gender changes in the healthy adult human brain using web-based VolBrain. Materials and methods: In this study, 303 normal healthy adults [male and female] were obtained using a 1.5 T unit with a 20-channel head coil. Results: The volumes of White Matter, Gray Matter, Total Brain, Cerebrospinal Fluid, and Total Intracranial Volume were significantly higher in males than those in females. Our analysis revealed a significantly larger accumbens volume for females. With age less than or equal to 50 years, older males were found to have higher total LV, putamen, thalamus, amygdala, cerebrum, White Matter and Gray Matter volumes than females. The age greater than the 50-years-old group resulted in a mean of total thalamus, Globus Pallidus and accumbens volumes higher in females than those in males. Right hemisphere volumes in younger and older age groups resulted in volumes except caudate in the older age group; the mean of caudate was significantly higher in females than those in males. Conclusions: These conclusions might have important for the explanation of the effects of gender and age in cross-sectional structural MRI studies. Also, knowing the volume changes of the subcortical structures can provide convenience about the prevention, diagnosis, and treatment of various neuromental disorders

Lessons learned from experiencing Mavi At Café (Blue Horse Café) during Six years: A qualitative analysis of factors contributing to recovery from the perspective of Schizophrenia patients

Objective: In recent years, the recovery-oriented approaches (along with experiences and thoughts of patients and patient's relatives) have been taken into account for establishing mental health services and policies. This study aims to identify the factors contributing to recovery, as observed from the perspective of schizophrenia patients working at The Blue Horse Café which was founded by the Federation of Schizophrenia Associations. Method: The sample for the study consisted of 24 patients who worked at The Blue Horse Café. A phenomenological approach was used in the study, whereby interviews with patients were analyzed qualitatively. Results: Certain common factors, which were expressed as having contributed to recovery, were identified from the perspective of schizophrenia patients. These factors are: 1-The fact that the setting is informal and welcoming without being constrictive; 2-Predominance of the human element; 3-Hope and encouragement; 4-Being cared about; 5-Being able to reach someone when in need of support; 6-Friendly sharing; 7-Having a purpose, assuming responsibility, and being motivated; and 8-Giving meaning to life. Conclusion: The findings may serve as a stimulus since schizophrenia patients that contribute to recovery give mental health professionals the opportunity to question there need for a change in their professional roles. Additionally, schizophrenia patients that have experienced The Blue Horse Café draw attention to certain points and these points can serve as a guide, especially for establishing the working methods of Community Mental Health Centers

Clinical spectrum of early onset “Mediterranean” (homozygous p.P131L mutation) mitochondrial neurogastrointestinal encephalomyopathy

Mitochondrial neurogastrointestinal encephalomyopathy (MNGIE) is an autosomal recessive mitochondrial disorder characterized by cumulative and progressive gastrointestinal and neurological findings. This retrospective observational study, aimed to explore the time of presentation, diagnosis and clinical follow-up of 13 patients with a confirmed MNGIE disease of Mediterranean origin. The mean age of symptom onset was 7 years (6 months−21 years) and the average diagnosis age was 15.4 years ±8.4. Four of 13 patients (30%) died before 30 years at the mean age of 19.7 years ±6.8. Cachexia and gastrointestinal symptoms were observed in all patients (100%). The mean body mass index standard deviation score at diagnosis was 4.8 ± 2.8. At least three subocclusive episodes were presented in patients who died in last year of their life. The main neurological symptom found in most patients was peripheral neuropathy (92%). Ten patients (77%) had leukoencephalopathy and the remaining three patients without were under 10 years of age. The new homozygous “Mediterranean” TYMP mutation, p.P131L (c.392 C > T) was associated with an early presentation and poor prognosis in nine patients (69%) from five separates families. Based on the observations from this Mediterranean MNGIE cohort, we propose that the unexplained abdominal pain combined with cachexia is an indicator of MNGIE. High-platelet counts and nerve conduction studies may be supportive laboratory findings and the frequent subocclusive episodes could be a negative prognostic factor for mortality. Finally, the homozygous p.P131L (c.392 C > T) mutation could be associated with rapid progressive disease with poor prognosis

DeepWAS: Multivariate genotype-phenotype associations by directly integrating regulatory information using deep learning

Genome-wide association studies (GWAS) identify genetic variants associated with quantitative traits or disease. Thus, GWAS never directly link variants to regulatory mechanisms, which, in turn, are typically inferred during post-hoc analyses. In parallel, a recent deep learning-based method allows for prediction of regulatory effects per variant on currently up to 1,000 cell type-specific chromatin features. We here describe “DeepWAS”, a new approach that directly integrates predictions of these regulatory effects of single variants into a multivariate GWAS setting. As a result, single variants associated with a trait or disease are, by design, coupled to their impact on a chromatin feature in a cell type. Up to 40,000 regulatory single-nucleotide polymorphisms (SNPs) were associated with multiple sclerosis (MS, 4,888 cases and 10,395 controls), major depressive disorder (MDD, 1,475 cases and 2,144 controls), and height (5,974 individuals) to each identify 43-61 regulatory SNPs, called deepSNPs, which are shown to reach at least nominal significance in large GWAS. MS- and height-specific deepSNPs resided in active chromatin and introns, whereas MDD-specific deepSNPs located mostly to intragenic regions and repressive chromatin states. We found deepSNPs to be enriched in public or cohort-matched expression and methylation quantitative trait loci and demonstrate the potential of the DeepWAS method to directly generate testable functional hypotheses based on genotype data alone. DeepWAS is an innovative GWAS approach with the power to identify individual SNPs in non-coding regions with gene regulatory capacity with a joint contribution to disease risk. DeepWAS is available at https://github.com/cellmapslab/DeepWAS

DeepWAS: multivariate genotype-phenotype associations by directly integrating regulatory information using deep learning

Genome-wide association studies (GWAS) identify genetic variants associated with traits or diseases. GWAS never directly link variants to regulatory mechanisms. Instead, the functional annotation of variants is typically inferred by post hoc analyses. A specific class of deep learning-based methods allows for the prediction of regulatory effects per variant on several cell type-specific chromatin features. We here describe "DeepWAS", a new approach that integrates these regulatory effect predictions of single variants into a multivariate GWAS setting. Thereby, single variants associated with a trait or disease are directly coupled to their impact on a chromatin feature in a cell type. Up to 61 regulatory SNPs, called dSNPs, were associated with multiple sclerosis (MS, 4,888 cases and 10,395 controls), major depressive disorder (MDD, 1,475 cases and 2,144 controls), and height (5,974 individuals). These variants were mainly non-coding and reached at least nominal significance in classical GWAS. The prediction accuracy was higher for DeepWAS than for classical GWAS models for 91% of the genome-wide significant, MS-specific dSNPs. DSNPs were enriched in public or cohort-matched expression and methylation quantitative trait loci and we demonstrated the potential of DeepWAS to generate testable functional hypotheses based on genotype data alone. DeepWAS is available at https://github.com/cellmapslab/DeepWAS