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Consistency primarily based actions regarding neuromodulation.
Conflict between channel members is of great interest to marketers given its presumed negative impact on the channel's business performance. In a comprehensive meta-analysis of the empirical literature spanning six decades between 1960 and 2020, we observe channel performance is indeed negatively linked to channel conflict. However, we find that this conflict-performance link has evolved significantly over time, roughly in keeping with the growth and maturing of e-commerce technologies. Further, the damage caused by conflict appears to be more pronounced for channels with international operations, and for channels with greater dependency between channel members. Additionally, businesses in North America seem to suffer the consequences of channel conflict more than others. Our results also show several study characteristics related to measurement and sampling significantly impact the empirical conflict-performance links reported in the literature. We base our conclusions on correlational analyses, two-stage meta-analytic structural equation modeling (TSSEM), and meta-analytic regression analyses (MARA).
The online version of this article (10.1007/s11747-020-00751-1) contains supplementary material, which is available to authorized users.
The online version of this article (10.1007/s11747-020-00751-1) contains supplementary material, which is available to authorized users.PSR J1813-1749 is one of the most energetic rotation-powered pulsars known, producing a pulsar wind nebula (PWN) and gamma-ray and TeV emission, but whose spin period is only measurable in X-ray. We present analysis of two Chandra datasets that are separated by more than ten years and recent NICER data. The long baseline of the Chandra data allows us to derive a pulsar proper motion μ R.A. = - ( 0 . ″ 067 ± 0 . ″ 010 ) yr-1 and μ decl. Benserazide = - ( 0 . ″ 014 ± 0 . ″ 007 ) yr-1 and velocity v⊥ ≈ 900-1600 km s-1 (assuming a distance d = 3 - 5 kpc), although we cannot exclude a contribution to the change in measured pulsar position due to a change in brightness structure of the PWN very near the pulsar. We model the PWN and pulsar spectra using an absorbed power law and obtain best-fit absorption NH = (13.1 ± 0.9) × 1022 cm-2, photon index Γ = 1.5 ± 0.1, and 0.3-10 keV luminosity LX ≈ 5.4 × 1034 erg s-1(d/ 5 kpc)2 for the PWN and Γ = 1.2 ± 0.1 and LX « 9.3 × 1033 erg s-1(d/ 5 kpc)2 for PSR J1813-1749. These values do not change between the 2006 and 2016 observations. We use NICER observations from 2019 to obtain a timing model of PSR J1813-1749, with spin frequency ν = 22.35 Hz and spin frequency time derivative v . = ( - 6.428 ± 0.003 ) × 10 - 11 Hz s-1. We also fit ν measurements from 2009-2012 and our 2019 value and find a long-term spin-down rate v . = ( - 6.3445 ± 0.0004 ) × 10 - 11 Hz s-1. We speculate that the difference in spin-down rates is due to glitch activity or emission mode switching.Central bank responses to COVID-19 have been extraordinary in speed, in size and in scope. Much easier monetary policy, massive liquidity provision, and targeted credit support to the real economy all played a role in stabilizing financial conditions and credit. On net, there is preliminary evidence that central bank actions have been a positive-for access to credit and for the real economy-during very trying times. But the first six months have made clear that central bank policy can only indirectly address the core economic policy challenges of the crisis, whose trajectory remains highly uncertain. The risks to the economy and financial system remain very large, and key policy questions-on the degree of fiscal policy support to the real economy, about the limits of central bank risk taking and monetization of debt, and about the wisdom of heavy reliance on central bank policies given their impact on leverage and debt levels-remain just that.This paper summarizes the impact of COVID-19 (through mid-September 2020) on the U.S. labor market through the lens of measures found in monthly Bureau of Labor Statistics' Employment Situation releases. It describes the pandemic's impact thus far by looking at payroll jobs, the unemployment rate, a broader measure of job disruptions, and disparities by race and sex. The conclusion discusses forces that will drive outcomes in the coming months. The findings are as follows (1) The COVID-19 shock was very abrupt and deep by historical standards, and headline numbers understate the magnitude of job disruptions. (2) The pace of the jobs recovery has slowed markedly since June. (3) The share of disrupted workers with ties to employers, which began very high, is falling rapidly, dimming prospects for further rapid recovery. (4) Hispanic, African American and women workers' jobs were more disrupted than others'. (5) Prospects for a speedy jobs recovery depend strongly on the path of the pandemic and degree of fiscal stimulus, both aided by official statistics to guide decisions at all levels during this critical time.Measuring the economy during COVID-19 has created a set of hurdles and prospects for the U.S. statistical agencies, the private sector, and academia. This included how to deal with unprecedented movements in economic variables while ensuring data quality. At the same time, new entrants released data that are sometimes at odds with gold standard releases. Given the multitude of data, this article focuses on both existing and new ways to track the employment statistics. The results leave more questions than answers.An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Prospective pre-post study.

International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) represents the most frequently used assessment to determine the level and severity of a spinal cord injury (SCI). The guidelines for ISNCSCI are complex and challenging. Knowledge of its correct execution needs to be imparted precisely. The aim of this study was to investigate whether hands-on instructional courses can increase the knowledge of the ISNCSCI examination guidelines.

European Multicenter Study about SCI.

Before and after the instructional courses, participants were asked to complete questionnaires. The set of questions covered the most important aspects of the examination guidelines. Attendees were asked to self-rate their occupation and experience in ISNCSCI.

The comparison of pretest and posttest results of 164 attendees from 2014 to 2018 revealed an improvement of knowledge reflected by an increase of correct answers from 66 ± 17% before to 89 ± 11% after the course (p < 0.
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