Employee Work Attitudes Post Merger and Acquisition

The airline industry has faced a devastating past decade with a loss of $60 billion, and 150,000 jobs, the worst financial performance among any major industry, along with 186 bankruptcies over the last 30 years (The proposed United-Continental merger, 2010). Mergers and acquisitions have been the most recent remedy to the financial turmoil and instability. However, 70-80% of mergers fail to produce the benefits originally anticipated, often due to employee concerns (Selden & Colvin, 2003). The purpose of this research is to conduct a quantitative study on job satisfaction and organizational commitment with employees from a major airline after recently undertaking a merger. A survey tool was created with a combination of demographic questions, a job satisfaction survey by Brayfield and Rothe (1951), and the organizational commitment questionnaire by Mowday, Porter and Steers (1979). Surveys were sent to 175 employees within an airline call center environment with 100 responses. Significant differences were found in the independent variables: age, employee classification and pre-merger employment status. Employee problems are estimated to be responsible for one-third to one-half of all merger failures (Davey et al., 1988) Going forward, corporations need to take into account some of the inherent differences within employee work groups while involved in a merger integration. Employee considerations are just as important as financial considerations when corporations strategize the steps of a merger

Immunohistochemical Analysis of IL-1 Receptor 1 In the Discs of Patients with Temporomandibular Joint Dysfunction

Objective Temporomandibular joint dysfunction (TMD) may affect a patient’s quality of life, and one of the etiologies can be anterior disc displacement with reduction (ADDwR) and anterior disc displacement without reduction (ADDWoR). Interleukin 1 Receptor 1 (IL-1R1) is a membrane receptor that plays an important role on initiating immune and inflammatory response by binding the agonists ligands of IL-1 alpha and IL-1 beta. Therefore, the aim of this study was to evaluate, through immunohistochemical analysis, the association of IL-1R1 with TMD. Methods Thirty-nine human disc samples were collected and composed three different groups: ADDwR (n = 19), ADDwoR (n = 12), and control group (n = 8). The samples were immunostained with IL-1R1 antibody and evaluated on both quantity and intensity of staining. Results There was a statistically significant difference (p \u3c 0.05) between the control and test groups for both quantity and intensity of staining. Conclusion IL1-R1 was associated with ADDwR and ADDwoR in TMD discs of humans

Expression of Interleukin-1 and Temporomandibular Disorder: Contemporary Review of the Literature

Objective: Temporomandibular disorders (TMD) are a group of conditions affecting the temporomandibular joint (TMJ), leading to jaw dysfunction, joint and muscle pain, and a decrease in quality of life. A communication network of pro- and anti-inflammatory mediators called cytokines maintains the homeostasis of the TMJ. This review will focus on the Interleukin (IL) family of cytokines, which have been quantified in TMJ synovial fluids in a variety of studies. IL-1α and IL-1β have pro-inflammatory effects, while the endogenous receptor antagonist (IL-1RA) inhibits the pro-inflammatory effects of IL-1. Methods: A literature search (2006–2016) to identify eligible studies was completed using the PubMed database. Studies identified used saline irrigation to quantify cytokine profiles in synovial fluid of healthy and/or dysfunctional joints. Results: The initial search yielded 111 articles, 5 of which met the inclusion criteria after inter-reviewer discussion. Conclusions: Articles that compared IL-1 concentrations in TMD vs. control groups found significant differences

Immunohistochemical Expression of TLR-4 in Temporomandibular Joint Dysfunction

Objective Toll-like receptor 4 (TLR-4) is a transmembrane protein involved in the innate immune system and has been implicated in the pathogenesis of temporomandibular joint dysfunction (TMD). The purpose of this study was to histologically examine the level of expression of TLR-4 relative to severity of TMD. Methods Thirty-one human TMJ disc samples were immunostained for TLR-4 and evaluated for intensity of stain. Among the samples, 8 were control samples, 16 were from patients with anterior disc displacement with reduction (ADDwR), and 7 were from patients with anterior disc displacement without reduction (ADDwoR). Results There was no statistically significant difference in intensity of stain between groupings (p = 0.673). Conclusions The results indicate a negative correlation between TMD and the expression of TLR-4

Place, space, and foreign direct investment into peripheral cities

Perspectives drawn from the economic geography literature are increasingly used to generate insights into locational issues in international business. In this paper, we seek to integrate these literatures further by investigating the locational determinants of foreign direct investment (FDI) into peripheral cities within an emerging economy. Peripheral cities in emerging economies are attracting a growing proportion of global FDI flows, but the international business literature lacks a framework for understanding subnational determinants of FDI, particularly into non-core locations. We draw on the core-periphery model to build and test theory on how spatial interdependencies between subnational locations impact on the distribution of FDI inflows into a large and heterogeneous country China. Our results show that whilst peripheral cities tend to have a negative effect on FDI, this effect is positively moderated by proximity to core cities. The results highlight the importance of considering interactions between place and space when investigating locational issues in international business

An international effort towards developing standards for best practices in analysis, interpretation and reporting of clinical genome sequencing results in the CLARITY Challenge

There is tremendous potential for genome sequencing to improve clinical diagnosis and care once it becomes routinely accessible, but this will require formalizing research methods into clinical best practices in the areas of sequence data generation, analysis, interpretation and reporting. The CLARITY Challenge was designed to spur convergence in methods for diagnosing genetic disease starting from clinical case history and genome sequencing data. DNA samples were obtained from three families with heritable genetic disorders and genomic sequence data were donated by sequencing platform vendors. The challenge was to analyze and interpret these data with the goals of identifying disease-causing variants and reporting the findings in a clinically useful format. Participating contestant groups were solicited broadly, and an independent panel of judges evaluated their performance. RESULTS: A total of 30 international groups were engaged. The entries reveal a general convergence of practices on most elements of the analysis and interpretation process. However, even given this commonality of approach, only two groups identified the consensus candidate variants in all disease cases, demonstrating a need for consistent fine-tuning of the generally accepted methods. There was greater diversity of the final clinical report content and in the patient consenting process, demonstrating that these areas require additional exploration and standardization. CONCLUSIONS: The CLARITY Challenge provides a comprehensive assessment of current practices for using genome sequencing to diagnose and report genetic diseases. There is remarkable convergence in bioinformatic techniques, but medical interpretation and reporting are areas that require further development by many groups

AI is a viable alternative to high throughput screening: a 318-target study

: High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, high-quality X-ray crystal structures, or manual cherry-picking of compounds. We show that the molecules selected by the AtomNet® model are novel drug-like scaffolds rather than minor modifications to known bioactive compounds. Our empirical results suggest that computational methods can substantially replace HTS as the first step of small-molecule drug discovery

Combination of searches for heavy spin-1 resonances using 139 fb−1 of proton-proton collision data at s = 13 TeV with the ATLAS detector

A combination of searches for new heavy spin-1 resonances decaying into different pairings of W, Z, or Higgs bosons, as well as directly into leptons or quarks, is presented. The data sample used corresponds to 139 fb−1 of proton-proton collisions at = 13 TeV collected during 2015–2018 with the ATLAS detector at the CERN Large Hadron Collider. Analyses selecting quark pairs (qq, bb, , and tb) or third-generation leptons (τν and ττ) are included in this kind of combination for the first time. A simplified model predicting a spin-1 heavy vector-boson triplet is used. Cross-section limits are set at the 95% confidence level and are compared with predictions for the benchmark model. These limits are also expressed in terms of constraints on couplings of the heavy vector-boson triplet to quarks, leptons, and the Higgs boson. The complementarity of the various analyses increases the sensitivity to new physics, and the resulting constraints are stronger than those from any individual analysis considered. The data exclude a heavy vector-boson triplet with mass below 5.8 TeV in a weakly coupled scenario, below 4.4 TeV in a strongly coupled scenario, and up to 1.5 TeV in the case of production via vector-boson fusion