An Examination of Leader-Member Exchange and Team Effectiveness

Previous research has indicated the importance of leader-member exchange (LMX) relationships for organizational team effectiveness (e.g., Boies & Howell, 2006; Hooper & Martin, 2008). However, few studies have examined the complexity of this relationship empirically, nor examined how leader differentiation of LMX, a main tenet of LMX theory, may affect vital team processes and emergent states required for successful team performance. The current study developed and tested a model of the relations between LMX, perceived LMX variability, team behavioral processes, and emergent affective states on team effectiveness. Individuals representing 66 university research teams from a medium-sized university participated in the current study. Results suggested LMX is a potential lever for team effectiveness and an important influence for a positive team environment. Results also suggested managers who individualize their relationship quality among team members may not necessarily harm the team\u27s ability to perform and adapt to change. Study limitations and practical implications are discussed

L'équipe d’aide et de sensibilisation aux opioïdes : un exemple novateur d'éducation médicale et de partenariat communautaire

Implication Statement  The Opioid Awareness and Support Team (OAST) at the Memorial University Faculty of Medicine is a novel student-led initiative designed to supplement medical student learning related to opioid use disorder and the opioids crisis. OAST has focused on grounding educational initiatives related to opioid use disorder in the local community context, working with community partners, and bringing in individuals with lived experience. We present initial findings from an Opioid Education Day that suggest student-led supplemental education for medical students can improve student knowledge surrounding opioid use.Énoncé des implications de la recherche L’équipe d’aide et de sensibilisation aux opioïdes (OAST) est une initiative des étudiants de la faculté de médecine de l’Université Memorial qui apporte un complément à la formation que reçoivent les étudiants sur le trouble lié à l’usage d’opioïdes. L'OAST s'est efforcée d’inscrire les initiatives éducatives liées à la crise des opïodes dans un contexte local en collaboration avec des partenaires communautaires et de faire participer des personnes ayant une expérience de terrain. Nous présentons les résultats préliminaires d'une journée de sensibilisation aux opioïdes qui suggèrent que cette activité éducative menée par les étudiants en médecine peut améliorer les connaissances des apprenants sur la consommation d’opioïdes

Use of the gamma method for self-contained gene-set analysis of SNP data

Gene-set analysis (GSA) evaluates the overall evidence of association between a phenotype and all genotyped single nucleotide polymorphisms (SNPs) in a set of genes, as opposed to testing for association between a phenotype and each SNP individually. We propose using the Gamma Method (GM) to combine gene-level P-values for assessing the significance of GS association. We performed simulations to compare the GM with several other self-contained GSA strategies, including both one-step and two-step GSA approaches, in a variety of scenarios. We denote a ‘one-step' GSA approach to be one in which all SNPs in a GS are used to derive a test of GS association without consideration of gene-level effects, and a ‘two-step' approach to be one in which all genotyped SNPs in a gene are first used to evaluate association of the phenotype with all measured variation in the gene and then the gene-level tests of association are aggregated to assess the GS association with the phenotype. The simulations suggest that, overall, two-step methods provide higher power than one-step approaches and that combining gene-level P-values using the GM with a soft truncation threshold between 0.05 and 0.20 is a powerful approach for conducting GSA, relative to the competing approaches assessed. We also applied all of the considered GSA methods to data from a pharmacogenomic study of cisplatin, and obtained evidence suggesting that the glutathione metabolism GS is associated with cisplatin drug response

Search for anomalous t t-bar production in the highly-boosted all-hadronic final state

A search is presented for a massive particle, generically referred to as a Z', decaying into a t t-bar pair. The search focuses on Z' resonances that are sufficiently massive to produce highly Lorentz-boosted top quarks, which yield collimated decay products that are partially or fully merged into single jets. The analysis uses new methods to analyze jet substructure, providing suppression of the non-top multijet backgrounds. The analysis is based on a data sample of proton-proton collisions at a center-of-mass energy of 7 TeV, corresponding to an integrated luminosity of 5 inverse femtobarns. Upper limits in the range of 1 pb are set on the product of the production cross section and branching fraction for a topcolor Z' modeled for several widths, as well as for a Randall--Sundrum Kaluza--Klein gluon. In addition, the results constrain any enhancement in t t-bar production beyond expectations of the standard model for t t-bar invariant masses larger than 1 TeV.Comment: Submitted to the Journal of High Energy Physics; this version includes a minor typo correction that will be submitted as an erratu

Measurement of the t t-bar production cross section in the dilepton channel in pp collisions at sqrt(s) = 7 TeV

The t t-bar production cross section (sigma[t t-bar]) is measured in proton-proton collisions at sqrt(s) = 7 TeV in data collected by the CMS experiment, corresponding to an integrated luminosity of 2.3 inverse femtobarns. The measurement is performed in events with two leptons (electrons or muons) in the final state, at least two jets identified as jets originating from b quarks, and the presence of an imbalance in transverse momentum. The measured value of sigma[t t-bar] for a top-quark mass of 172.5 GeV is 161.9 +/- 2.5 (stat.) +5.1/-5.0 (syst.) +/- 3.6(lumi.) pb, consistent with the prediction of the standard model.Comment: Replaced with published version. Included journal reference and DO

Genomic and molecular analyses identify molecular subtypes of pancreatic cancer recurrence

Pancreatic cancer (PC) remains a highly lethal malignancy, and most patients with localized disease that undergo surgical resection still succumb to recurrent disease. Pattern of recurrence after pancreatectomy is heterogenous, with some studies illustrating that site of recurrence can be associated with prognosis.1 Another study suggested that tumors that develop local and distant recurrence can be regarded as a homogenous disease with similar outcomes.2 Here we investigate novel molecular determinants of recurrence pattern after pancreatectomy for PC