Georgia State University

About: Georgia State University is a education organization based out in Atlanta, Georgia, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 13988 authors who have published 35895 publications receiving 1164332 citations. The organization is also known as: GSU & Georgia State.

A Nearby M Star with Three Transiting Super-Earths Discovered by K2

Abstract: Small, cool planets represent the typical end-products of planetary formation. Studying the architectures of these systems, measuring planet masses and radii, and observing these planets’ atmospheres during transit directly informs theories of planet assembly, migration, and evolution. Here we report the discovery of three small planets orbiting a bright (Ks = 8:6 mag) M0 dwarf using data collected as part of K2, the new ecliptic survey using the re-purposed Kepler spacecraft. Stellar spectroscopy and K2 photometry indicate that the system hosts three transiting planets with radii 1.5 { 2.1 R , straddling the transition region between rocky and increasingly volatile-dominated compositions. With orbital periods of 10{45 days the planets receive just 1.5{10 the ux incident on Earth, making these some of the coolest small planets known orbiting a nearby star; planet d is located near the inner edge of the system’s habitable zone. The bright, low-mass star makes this system an excellent laboratory to determine the planets’ masses via Doppler spectroscopy and to constrain their atmospheric compositions via transit spectroscopy. This discovery demonstrates the power of K2 and future space-based transit searches to nd many fascinating objects of interest. Subject headings: EPIC 201367065| techniques: photometric | techniques: spectroscopic | eclipses

Managing technological change in the digital age: the role of architectural frames

Abstract: Inspired by Herbert Simon’s notion of nearly decomposable systems, researchers have examined modularity as a powerful approach to manage technological change in product innovation. We articulate this approach as the hierarchy-of-parts architecture and explain how it emphasizes decomposition of a design into loosely coupled parts and subsequent aggregation of these into an industrial product. To realize the scale benefits of modularity, firms successively freeze design specifications before production and therefore only allow limited windows of functionality design and redesign. This makes it difficult to take advantage of the increased speed by which digitized products can be developed and modified. To address this problem, we draw on Christopher Alexander’s notion of design patterns to introduce a complementary approach to manage technological change that is resilient to digital technology. We articulate this approach as the network-of-patterns architecture and explain how it emphasizes generalization of ideas into patterns and subsequent specialization of patterns for different design purposes. In response to the increased digitization of industrial products, we demonstrate the value of complementing hierarchy-of-parts thinking with network-of-patterns thinking through a case study of infotainment architecture at an automaker. As a result, we contribute to the literature on managing products in the digital age: we highlight the properties of digital technology that increase the speed by which digitized products can be redesigned; we offer the notion of architectural frames and propose hierarchy-of-parts and network-of-patterns as frames to support innovation of digitized products; and, we outline an agenda for future research that reconsiders the work of Simon and Alexander as well as their followers to address key challenges in innovating digitized products.

Long-term Sustainability of Diabetes Prevention Approaches: A Systematic Review and Meta-analysis of Randomized Clinical Trials.

Abstract: Importance Diabetes prevention is imperative to slow worldwide growth of diabetes-related morbidity and mortality. Yet the long-term efficacy of prevention strategies remains unknown. Objective To estimate aggregate long-term effects of different diabetes prevention strategies on diabetes incidence. Data Sources Systematic searches of MEDLINE, EMBASE, Cochrane Library, and Web of Science databases. The initial search was conducted on January 14, 2014, and was updated on February 20, 2015. Search terms included prediabetes , primary prevention , and risk reduction . Study Selection Eligible randomized clinical trials evaluated lifestyle modification (LSM) and medication interventions (>6 months) for diabetes prevention in adults (age ≥18 years) at risk for diabetes, reporting between-group differences in diabetes incidence, published between January 1, 1990, and January 1, 2015. Studies testing alternative therapies and bariatric surgery, as well as those involving participants with gestational diabetes, type 1 or 2 diabetes, and metabolic syndrome, were excluded. Data Extraction and Synthesis Reviewers extracted the number of diabetes cases at the end of active intervention in treatment and control groups. Random-effects meta-analyses were used to obtain pooled relative risks (RRs), and reported incidence rates were used to compute pooled risk differences (RDs). Main Outcomes and Measures The main outcome was aggregate RRs of diabetes in treatment vs control participants. Treatment subtypes (ie, LSM components, medication classes) were stratified. To estimate sustainability, post-washout and follow-up RRs for medications and LSM interventions, respectively, were examined. Results Forty-three studies were included and pooled in meta-analysis (49 029 participants; mean [SD] age, 57.3 [8.7] years; 48.0% [n = 23 549] men): 19 tested medications; 19 evaluated LSM, and 5 tested combined medications and LSM. At the end of the active intervention (range, 0.5-6.3 years), LSM was associated with an RR reduction of 39% (RR, 0.61; 95% CI, 0.54-0.68), and medications were associated with an RR reduction of 36% (RR, 0.64; 95% CI, 0.54-0.76). The observed RD for LSM and medication studies was 4.0 (95% CI, 1.8-6.3) cases per 100 person-years or a number-needed-to-treat of 25. At the end of the washout or follow-up periods, LSM studies (mean follow-up, 7.2 years; range, 5.7-9.4 years) achieved an RR reduction of 28% (RR, 0.72; 95% CI, 0.60-0.86); medication studies (mean follow-up, 17 weeks; range, 2-52 weeks) showed no sustained RR reduction (RR, 0.95; 95% CI, 0.79-1.14). Conclusions and Relevance In adults at risk for diabetes, LSM and medications (weight loss and insulin-sensitizing agents) successfully reduced diabetes incidence. Medication effects were short lived. The LSM interventions were sustained for several years; however, their effects declined with time, suggesting that interventions to preserve effects are needed.