Optimizing Incentive Plan Design: A Case Study

We study effects of a firm's attempt to optimize an existing incentive scheme to increase sales growth for direct store delivery workers. Before optimization workers reported Ratchet Effects that lowered productivity. The altered incentive plan offered higher compensation for increased sales relative to a sales growth target, and lower compensation for failing to meet the target. We gathered data on performance and attitudes at pilot and control sites before and after the change. Relative to control sites, sales growth increased in the pilot sites by two percent, a meaningful contribution to firm profits. We find no change in distortion of effort or manipulation of the performance measure. Workers did not substantially change number of hours worked, though allocation of time across tasks changed slightly. Despite increased productivity, workers continued to report Ratchet Effects after the change. We also find that an unplanned price increase midway through a fiscal year affected the extent of Ratchet Effects that year.incentives, ratchet effect

Biophotonic Tools in Cell and Tissue Diagnostics.

In order to maintain the rapid advance of biophotonics in the U.S. and enhance our competitiveness worldwide, key measurement tools must be in place. As part of a wide-reaching effort to improve the U.S. technology base, the National Institute of Standards and Technology sponsored a workshop titled "Biophotonic tools for cell and tissue diagnostics." The workshop focused on diagnostic techniques involving the interaction between biological systems and photons. Through invited presentations by industry representatives and panel discussion, near- and far-term measurement needs were evaluated. As a result of this workshop, this document has been prepared on the measurement tools needed for biophotonic cell and tissue diagnostics. This will become a part of the larger measurement road-mapping effort to be presented to the Nation as an assessment of the U.S. Measurement System. The information will be used to highlight measurement needs to the community and to facilitate solutions

Machine-learning-based evaluation of intratumoral heterogeneity and tumor-stroma interface for clinical guidance

© The Author(s), 2021. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Laurinavicius, A., Rasmusson, A., Plancoulaine, B., Shribak, M., & Levenson, R. Machine-learning-based evaluation of intratumoral heterogeneity and tumor-stroma interface for clinical guidance. American Journal of Pathology, 191(10), (2021): 1724–1731, https://doi.org/10.1016/j.ajpath.2021.04.008.Assessment of intratumoral heterogeneity and tumor-host interaction within the tumor microenvironment is becoming increasingly important for innovative cancer therapy decisions because of the unique information it can generate about the state of the disease. However, its assessment and quantification are limited by ambiguous definitions of the tumor-host interface and by human cognitive capacity in current pathology practice. Advances in machine learning and artificial intelligence have opened the field of digital pathology to novel tissue image analytics and feature extraction for generation of high-capacity computational disease management models. A particular benefit is expected from machine-learning applications that can perform extraction and quantification of subvisual features of both intratumoral heterogeneity and tumor microenvironment aspects. These methods generate information about cancer cell subpopulation heterogeneity, potential tumor-host interactions, and tissue microarchitecture, derived from morphologically resolved content using both explicit and implicit features. Several studies have achieved promising diagnostic, prognostic, and predictive artificial intelligence models that often outperform current clinical and pathology criteria. However, further effort is needed for clinical adoption of such methods through development of standardizable high-capacity workflows and proper validation studies.Supported by the European Social Fund grant 09.3.3-LMT-K-712

ALMA polarimetry measures magnetically aligned dust grains in the torus of NGC 1068

The obscuring structure surrounding active galactic nuclei (AGN) can be explained as a dust and gas flow cycle that fundamentally connects the AGN with their host galaxies. This structure is believed to be associated with dusty winds driven by radiation pressure. However, the role of magnetic fields, which are invoked in almost all models for accretion onto a supermassive black hole and outflows, is not thoroughly studied. Here we report the first detection of polarized thermal emission by means of magnetically aligned dust grains in the dusty torus of NGC 1068 using ALMA Cycle 4 polarimetric dust continuum observations ($0.07"$, $4.2$ pc; 348.5 GHz, $860$ $\mu$m). The polarized torus has an asymmetric variation across the equatorial axis with a peak polarization of $3.7\pm0.5$\% and position angle of $109\pm2^{\circ}$ (B-vector) at $\sim8$ pc east from the core. We compute synthetic polarimetric observations of magnetically aligned dust grains assuming a toroidal magnetic field and homogeneous grain alignment. We conclude that the measured 860 $\mu$m continuum polarization arises from magnetically aligned dust grains in an optically thin region of the torus. The asymmetric polarization across the equatorial axis of the torus arises from 1) an inhomogeneous optical depth, and 2) a variation of the velocity dispersion, i.e. variation of the magnetic field turbulence at sub-pc scales, from the eastern to the western region of the torus. These observations and modeling constrain the torus properties beyond spectral energy distribution results. This study strongly supports that magnetic fields up to a few pc contribute to the accretion flow onto the active nuclei.Comment: 19 pages, 11 figures (Accepted for Publication to ApJ

The Role and Responsibility of Defense Counsel

How does a defense attorney\u27s role change when defending a high-profile client? Beyond traditional legal defense, must a modern defense attorney seek to protect a client\u27s public image? When speaking with the media, what rules, if any, should constrain a defense attorney\u27s behavior? Does media coverage affect the fairness of a trial? These are some of the questions dealt with in Panel #4: The Role Of Defense Counsel, moderated by Robert Mosteller, and featuring Laurie Levenson, Michael Tigar and Harold Haddon. Laurie Levenson begins the discussion by outlining some of the rules governing attorney behavior in the media, with special emphasis on the ABA Model Rules of Professional Conduct. Next, Michael Tigar discusses how the press has traditionally served as a watchdog against government misconduct in high-profile cases, and how media coverage of cases from his own career has helped his clients. Lastly, Harold Haddon provides a word of caution about the dangers attorneys face in using the media in high-profile cases and discusses how media coverage can hurt defendants by leading to premature public judgment. Questions/themes/discussion topics ABA Model Rule of Professional Conduct 3.6: Trial Publicity Attorney conduct not prohibited by ABA MRPC 3.6 Media gag orders Allowing video cameras in the courtroom Proposed rules to govern legal commentators unconnected to a proceeding Historic instances of media coverage acting as a judicial watchdog Examples of media coverage aiding defendants in high-profile cases The effect of defense attorney\u27 statements on the public perception of defendants The difficulty of changing public perception of a defendant\u27s guilt or innocenc

Do Stress Trajectories Predict Mortality in Older Men? Longitudinal Findings from the VA Normative Aging Study

We examined long-term patterns of stressful life events (SLE) and their impact on mortality contrasting two theoretical models: allostatic load (linear relationship) and hormesis (inverted U relationship) in 1443 NAS men (aged 41–87 in 1985; M = 60.30, SD = 7.3) with at least two reports of SLEs over 18 years (total observations = 7,634). Using a zero-inflated Poisson growth mixture model, we identified four patterns of SLE trajectories, three showing linear decreases over time with low, medium, and high intercepts, respectively, and one an inverted U, peaking at age 70. Repeating the analysis omitting two health-related SLEs yielded only the first three linear patterns. Compared to the low-stress group, both the moderate and the high-stress groups showed excess mortality, controlling for demographics and health behavior habits, HRs = 1.42 and 1.37, ps <.01 and <.05. The relationship between stress trajectories and mortality was complex and not easily explained by either theoretical model