Investigating success of an e-government initiative: Validation of an integrated IS success model

NoThe purpose of this paper is to examine the success (by measuring intention to use and user satisfaction) of the online public grievance redressal system (OPGRS) from the perspective of the citizens of India. The success of this e-government system is examined using an integrated IS success model. The model developed includes the constructs such as system quality, information quality, service quality, perceived usefulness, perceived ease of use, perceived satisfaction, perceived risk, and behavioral intention. The proposed integrated research model of IS was validated using the response taken from 419 citizens from different cities of India. The empirical outcomes provided the positive significant connections between all 12 hypothesised relationships between eight constructs. The empirical evidence and discussion presented in the study can help the government to improve upon and fully utilise the potential of the OPGRS as a useful tool toward a transparent and corruption free country

Examining the acceptance and use of online social networks by preservice teachers within the context of unified theory of acceptance and use of technology model

Social network sites (SNSs) has a big potential to improve teaching and learning experience. It has become a necessity for teachers to transfer this technologies to learning environments has become a requirement. For this reason, the use of SNSs in the education process of preservice teachers who are the teachers of the future and examination of variables that have an impact on the acceptance of these technologies are found important. The use of SNSs in teacher education will enable preservice teachers to be more willing to use information technologies and will improve their skills in using these technologies. For the reasons given, in this study, it is aimed to examine the acceptance and use of SNSs by preservice teachers for educational purposes on the basis of unified theory of acceptance and use of technology model. The study was designed according to relational screening model. Study group of the study consists of 274 preservice teachers at a university in 2017. Data were collected via various scales and personal information form at the end of an application process of 14weeks+14weeks. Descriptive statistics, linear multiple hierarchical regression analysis and structural equation model were used in analysing the data. As a result of the study, it was determined that the acceptance of SNSs for educational purposes was affected respectively by social effect, performance expectation and effort expectation, and behavioral intention of using these technologies affected the actual use. Besides, variables of moderators that were effective on acceptance and use were also determined

Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders.

Sex differences in incidence and/or presentation of schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BIP) are pervasive. Previous evidence for shared genetic risk and sex differences in brain abnormalities across disorders suggest possible shared sex-dependent genetic risk. We conducted the largest to date genome-wide genotype-by-sex (G×S) interaction of risk for these disorders using 85,735 cases (33,403 SCZ, 19,924 BIP, and 32,408 MDD) and 109,946 controls from the PGC (Psychiatric Genomics Consortium) and iPSYCH. Across disorders, genome-wide significant single nucleotide polymorphism-by-sex interaction was detected for a locus encompassing NKAIN2 (rs117780815, p = 3.2 × 10 <sup>-8</sup> ), which interacts with sodium/potassium-transporting ATPase (adenosine triphosphatase) enzymes, implicating neuronal excitability. Three additional loci showed evidence (p < 1 × 10 <sup>-6</sup> ) for cross-disorder G×S interaction (rs7302529, p = 1.6 × 10 <sup>-7</sup> ; rs73033497, p = 8.8 × 10 <sup>-7</sup> ; rs7914279, p = 6.4 × 10 <sup>-7</sup> ), implicating various functions. Gene-based analyses identified G×S interaction across disorders (p = 8.97 × 10 <sup>-7</sup> ) with transcriptional inhibitor SLTM. Most significant in SCZ was a MOCOS gene locus (rs11665282, p = 1.5 × 10 <sup>-7</sup> ), implicating vascular endothelial cells. Secondary analysis of the PGC-SCZ dataset detected an interaction (rs13265509, p = 1.1 × 10 <sup>-7</sup> ) in a locus containing IDO2, a kynurenine pathway enzyme with immunoregulatory functions implicated in SCZ, BIP, and MDD. Pathway enrichment analysis detected significant G×S interaction of genes regulating vascular endothelial growth factor receptor signaling in MDD (false discovery rate-corrected p < .05). In the largest genome-wide G×S analysis of mood and psychotic disorders to date, there was substantial genetic overlap between the sexes. However, significant sex-dependent effects were enriched for genes related to neuronal development and immune and vascular functions across and within SCZ, BIP, and MDD at the variant, gene, and pathway levels

Advances in adipose tissue metabolism.

International audienceThis review will focus on the recent findings in adipose tissue metabolism with special attention to human adipocyte biology and physiology. There are major advances stemming from the concomitant results obtained from studies on mature human adipocytes, human preadipocytes differentiated in vitro and murine adipose cell lines. Physiological developments have been based on the expanded utilization of various kinds of murine transgenic models and physiological techniques such as microdialysis, open-flow microperfusion, arteriovenous techniques and the utilization of deuterium- or tritium-labelled metabolites that have provided a number of physiological advances in the understanding of human adipose tissue physiology. Gene expression profiling studies and nutrigenomics are emerging methods that herald interesting approaches for the future. An overview of recent discoveries in the mechanisms involved in the control of free fatty acid uptake, triacylglycerol synthesis and fat deposition will be discussed, as well as recent advances in the mechanisms involved in the lipolytic pathways, the role of lipases and perilipins. In addition, the in vivo validation of catecholamine action and the discovery of the lipolytic effects of natriuretic peptides will also be covered