The Role of Software Service Providers in the Development of E-Government Ecosystems from a Resource Orchestration Perspective

The existing studies on e-government outsourcing pay attention to the factors that influence the service satisfaction of software service providers, and there is currently little research on how software service providers develop during different phases involved, which plays an important role in the e-government outsourcing projects. We apply the literature on business ecosystem and resource orchestration which may be crucial to the development of a software service provider to analyze a typical software service provider in the field of electronic tax outsourcing. In doing so, a process model of how a service provider makes resource orchestration as environments change and develops its focal capabilities is inductively derived that sheds light on the process from a niche player to be a keystone in three distinct phases. The process model reveals that the role of the software service provider within its ecosystem is evolutionary in nature. With above findings, this study provides practitioners a comprehensive and empirically supported framework and shows a successful process model of how to be a keystone within the e-government ecosystem

The Evolution of Online Short-Term Rental Enterprises’ Ecosystem and Legitimacy: A Longitudinal Interpretive Case Study

As an emerging field, the online short-term rental in China appears with poor national policy and industry general regulations. All enterprises in this industry are constantly groping for sustainable strategy of legitimacy. Previous studies on the online short-term rental mainly focus on the positive influence, the business model, and policy and regulation. However, there is currently little research on how the online short-term rental enterprises develop ecosystem and legitimacy during different phases involved, which provides a good reference for other emerging organization in sharing economy.This study applied business ecosystem and legitimacy to analyze the development of a typical online short-term rental company via a longitudinal interpretive case study. A process model of how an online short-term rental company’s sub-ecosystems is inductively derived and elucidates the regulative challenges, normative challenges, and cognitive challenges in each phase. The findings of this case study provide a comprehensive and empirically supported framework and demonstrate a successful process model

On the Circular Polarisation of Repeating Fast Radio Bursts

Fast spinning (e.g., sub-second) neutron star with ultra-strong magnetic fields (or so-called magnetar) is one of the promising origins of repeating fast radio bursts (FRBs). Here we discuss circularly polarised emissions produced by propagation effects in the magnetosphere of fast spinning magnetars. We argue that the polarisation-limiting region is well beyond the light cylinder, suggesting that wave mode coupling effects are unlikely to produce strong circular polarisation for fast spinning magnetars. Cyclotron absorption could be significant if the secondary plasma density is high. However, high degrees of circular polarisation can only be produced with large asymmetries in electrons and positrons. We draw attention to the non-detection of circular polarisation in current observations of known repeating FRBs. We suggest that the circular polarisation of FRBs could provide key information on their origins and help distinguish different radiation mechanisms.Comment: ApJ accepte

Polymorphisms of Glutathione S-transferases Omega-1 among ethnic populations in China

<p>Abstract</p> <p>Background</p> <p>Glutathione S-transferases (GSTs) is a genetic factor for many diseases and exhibits great diversities among various populations. We assessed association of the genotypes of Glutathione S-transferases Omega-1 (GSTO1) A140D with ethnicity in China.</p> <p>Results</p> <p>Peripheral blood samples were obtained from 1314 individuals from 14 ethnic groups. Polymorphisms of GSTO1 A140D were measured using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). Logistic regression was employed to adjustment for regional factor. The frequency of GSTO1 140A allele was 15.49% in the total 14 ethnic populations. Compared to Han ethnic group, two ethnic populations were more likely to have AA or CA genotype [odds ratio (OR): 1.77, 95% confidence interval (95% CI): 1.05–2.98 for Uygur and OR: 1.78, 95% CI: 1.18–2.69 for Hui]. However, there were no statistically significant differences across 14 ethnic groups when region factor was adjusted. In Han ethnicity, region was significantly associated with AA or CA genotype. Han individuals who resided in North-west of China were more likely to have these genotypes than those in South of China (OR: 1.63, 95% CI: 1.21–2.20).</p> <p>Conclusion</p> <p>The prevalence of the GSTO1 140A varied significantly among different regional populations in China, which showed that geography played a more important role in the population differentiation for this allele than the ethnicity/race.</p

Regulating C2H2/CO2 adsorption selectivity by electronic-state manipulation of iron in metal-organic frameworks

Article reports a metal electronic-state manipulation strategy to construct a pair of isostructural and interconvertible Fe-MOFs featuring open Fe centers with different electron densities for efficient C₂H₂/CO₂ separation. The authors show that the presence of Fe[II] centers with a medium-spin-state trail plays a crucial role in the enhanced C₂H₂ selective adsorption

A Comprehensive Expression Profile of MicroRNAs in Porcine Pituitary

MicroRNAs (miRNAs) are an abundant class of small RNAs that regulate expressions of most genes. miRNAs play important roles in the pituitary, the “master” endocrine organ.However, we still don't know which role miRNAs play in the development of pituitary tissue or how much they contribute to the pituitary function. By applying a combination of microarray analysis and Solexa sequencing, we detected a total of 450 miRNAs in the porcine pituitary. Verification with RT-PCR showed a high degree of confidence for the obtained data. According to the current miRBase release17.0, the detected miRNAs included 169 known porcine miRNAs, 163 conserved miRNAs not yet identified in the pig, and 12 potentially new miRNAs not yet identified in any species, three of which were revealed using Northern blot. The pituitary might contain about 80.17% miRNA types belonging to the animal. Analysis of 10 highly expressed miRNAs with the Kyoto Encyclopedia of Genes and Genomes (KEGG) indicated that the enriched miRNAs were involved not only in the development of the organ but also in a variety of inter-cell and inner cell processes or pathways that are involved in the function of the organ

A chromosome conformation capture ordered sequence of the barley genome

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Spatial Spillover Effect of Government Public Health Spending on Regional Economic Growth during the COVID-19 Pandemic: An Evidence from China

The COVID-19 pandemic, which was first reported at the end of 2019, has had a massive impact on the Chinese economy and society. The pandemic has seriously tested the emergency management capabilities of the Chinese government regarding public health. Based on the panel data of 31 provinces in China for the period of 2006–2019, this paper examines the impacts of government public health spending on regional economic growth. Furthermore, the possibility of spatial spillover effects of government public health spending is investigated through spatial econometric analysis. Government public health spending and regional economic growth have significant positive spatial correlation and spatial agglomeration effects. The indicator of government public health spending significantly promotes regional economic growth. In addition, it significantly promotes the economic growth of neighboring areas through certain spatial spillovers

Entropic fictitious play for mean field optimization problem

It is well known that the training of the neural network can be viewed as a mean field optimization problem. In this paper we are inspired by the fictitious play, a classical algorithm in the game theory for learning the Nash equilibria, and propose a new algorithm, different from the conventional gradient-descent ones, to solve the mean field optimization. We rigorously prove its (exponential) convergence, and show some simple numerical examples