Disciplining Sexual Harassers in the Unionized Workplace: Judicial Precedent is Influencing Arbitrator Attitudes, Awards

Before deciding whether an employer has appropriately disciplined an employee accused of sexual harassment, many labor arbitrators draft their rulings with the employer\u27s legal obligations in mind. When an employee\u27s conduct rises to the level of unlawful sexual harassment or violates an employer\u27s sexual harassment policy, arbitrators often uphold or minimally reduce harsh discipline. If, however, the grievant\u27s conduct is less egregious, arbitrators have less tolerance for severe disciplinary measures. But before reinstating a discharged employee who was accused of sexual harassment, or otherwise reducing that employee\u27s discipline, arbitrators consider whether the employer had a sexual harassment policy in place, what training the grievant received on harassment, and what message a lighter punishment would send to other employees in the workplace

Disciplining Sexual Harassers in the Unionized Workplace: Judicial Precedent Is Influencing Arbitrator Attitudes, Awards

Before deciding whether an employer has appropriately disciplined an employee accused of sexual harassment, many labor arbitrators draft their rulings with the employer\u27s legal obligations in mind. When an employee\u27s conduct rises to the level of unlawful sexual harassment or violates an employer\u27s sexual harassment policy, arbitrators often uphold or minimally reduce harsh discipline. If, however, the grievant\u27s conduct is less egregious, arbitrators have less tolerance for severe disciplinary measures. But before reinstating a discharged employee who was accused of sexual harassment, or otherwise reducing that employee\u27s discipline, arbitrators consider whether the employer had a sexual harassment policy in place, what training the grievant received on harassment, and what message a lighter punishment would send to other employees in the workplace

Higher measured than modeled ozone production at increased NOx levels in the Colorado Front Range

Abstract. Chemical models must correctly calculate the ozone formation rate, P(O3), to accurately predict ozone levels and to test mitigation strategies. However, air quality models can have large uncertainties in P(O3) calculations, which can create uncertainties in ozone forecasts, especially during the summertime when P(O3) is high. One way to test mechanisms is to compare modeled P(O3) to direct measurements. During summer 2014, the Measurement of Ozone Production Sensor (MOPS) directly measured net P(O3) in Golden, CO, approximately 25 km west of Denver along the Colorado Front Range. Net P(O3) was compared to rates calculated by a photochemical box model that was constrained by measurements of other chemical species and that used a lumped chemical mechanism and a more explicit one. Median observed P(O3) was up to a factor of 2 higher than that modeled during early morning hours when nitric oxide (NO) levels were high and was similar to modeled P(O3) for the rest of the day. While all interferences and offsets in this new method are not fully understood, simulations of these possible uncertainties cannot explain the observed P(O3) behavior. Modeled and measured P(O3) and peroxy radical (HO2 and RO2) discrepancies observed here are similar to those presented in prior studies. While a missing atmospheric organic peroxy radical source from volatile organic compounds co-emitted with NO could be one plausible solution to the P(O3) discrepancy, such a source has not been identified and does not fully explain the peroxy radical model–data mismatch. If the MOPS accurately depicts atmospheric P(O3), then these results would imply that P(O3) in Golden, CO, would be NOx-sensitive for more of the day than what is calculated by models, extending the NOx-sensitive P(O3) regime from the afternoon further into the morning. These results could affect ozone reduction strategies for the region surrounding Golden and possibly other areas that do not comply with national ozone regulations. Thus, it is important to continue the development of this direct ozone measurement technique to understand P(O3), especially under high-NOx regimes

Contrastive Decoding: Open-ended Text Generation as Optimization

Likelihood, although useful as a training loss, is a poor search objective for guiding open-ended generation from language models (LMs). Existing generation algorithms must avoid both unlikely strings, which are incoherent, and highly likely ones, which are short and repetitive. We propose contrastive decoding (CD), a more reliable search objective that returns the difference between likelihood under a large LM (called the expert, e.g. OPT-13b) and a small LM (called the amateur, e.g. OPT-125m). CD is inspired by the fact that the failures of larger LMs are even more prevalent in smaller LMs, and that this difference signals exactly which texts should be preferred. CD requires zero training, and produces higher quality text than decoding from the larger LM alone. It also generalizes across model types (OPT and GPT2) and significantly outperforms four strong decoding algorithms in automatic and human evaluations

Design-based learning for a sustainable future: student outcomes resulting from a biomimicry curriculum in an evolution course

Background National institutes and education initiatives emphasize the need to prepare future biologists to apply discoveries in science towards solving problems that are both social and scientific in nature. Research from socio-scientific, design-based, and problem-based learning demonstrates that contextualized, real-world tasks can improve students&rsquo; ability to apply their scientific knowledge in practical ways to navigate social problems. Biomimicry Design is an interdisciplinary field requiring biology and design skills; it informs the creation of sustainable designs through emulation of biological structures and functions that arise as a result of natural selection. Notably, engaging in biomimicry design targets an important biology and engineering learning outcome: understanding of how structure influences function. This study leveraged the practices of biomimicry along with those of design-based learning (DBL) to improve student outcomes in an evolutionary biology undergraduate course. Through DBL, the authors aimed to (1) ignite deeper understanding of how structure determines function in nature (a cross-disciplinary concept) and (2) help students to consider new ways this concept can benefit society (a science process skill). Results We randomly assigned two sections of an upper-division evolutionary biology course to either a biomimicry DBL (DBL group) or species comparison (comparison group) curricular design. Students in the course were exposed to a 1-day lesson, then 1-weeklong case study, and then a final project focused on either biomimicry species-to-human design comparisons (DBL condition) or species-to-species comparisons (comparison condition). To assess the targeted outcomes, we analyzed students&rsquo; responses from a pre-post assessment. Students in the biomimicry section were more likely to apply their biological structure&ndash;function knowledge to societal benefits when leaving the course. Students in both sections showed comparable gains in structure&ndash;function understanding, but there was no change in the number of students who used misconception language in their post-course compared to pre-course responses. Conclusions We conclude that our DBL curriculum, above and beyond the comparison curriculum, may support students&rsquo; ability to apply biological concepts to societal benefits without compromising structure&ndash;function understanding. Overall, these results provide rationale for incorporating tasks situated in DBL to address socio-scientific issues in biology courses. </div

Extensive proteomic screening identifies the obesity-related NYGGF4 protein as a novel LRP1-interactor, showing reduced expression in early Alzheimer's disease

<p>Abstract</p> <p>Background</p> <p>The low-density lipoprotein receptor related protein 1 (LRP1) has been implicated in Alzheimer's disease (AD) but its signalling has not been fully evaluated. There is good evidence that the cytoplasmic domain of LRP1 is involved in protein-protein interactions, important in the cell biology of LRP1.</p> <p>Results</p> <p>We carried out three yeast two-hybrid screens to identify proteins that interact with the cytoplasmic domain of LRP1. The screens included both conventional screens as well as a novel, split-ubiquitin-based screen in which an LRP1 construct was expressed and screened as a transmembrane protein. The split-ubiquitin screen was validated in a screen using full-length amyloid protein precursor (APP), which successfully identified FE65 and FE65L2, as well as novel interactors (Rab3a, Napg, and ubiquitin b). Using both a conventional screen as well as the split-ubiquitin screen, we identified NYGGF4 as a novel LRP1 interactor. The interaction between LRP1 and NYGGF4 was validated using two-hybrid assays, coprecipitation and colocalization in mammalian cells. Mutation analysis demonstrated a specific interaction of NYGGF4 with an NPXY motif that required an intact tyrosine residue. Interestingly, while we confirmed that other LRP1 interactors we identified, including JIP1B and EB-1, were also able to bind to APP, NYGGF4 was unique in that it showed specific binding with LRP1. Expression of NYGGF4 decreased significantly in patients with AD as compared to age-matched controls, and showed decreasing expression with AD disease progression. Examination of Nyggf4 expression in mice with different alleles of the human <it>APOE4 </it>gene showed significant differences in Nyggf4 expression.</p> <p>Conclusions</p> <p>These results implicate NYGGF4 as a novel and specific interactor of LRP1. Decreased expression of LRP1 and NYGGF4 over disease, evident with the presence of even moderate numbers of neuritic plaques, suggests that LRP1-NYGGF4 is a system altered early in disease. Genetic and functional studies have implicated both LRP1 and NYGGF4 in obesity and cardiovascular disease and the physical association of these proteins may reflect a common mechanism. This is particularly interesting in light of the dual role of ApoE in both cardiovascular risk and AD. The results support further studies on the functional relationship between NYGGF4 and LRP1.</p

Sources and characteristics of summertime organic aerosol in the Colorado Front Range: perspective from measurements and WRF-Chem modeling

Abstract. The evolution of organic aerosols (OAs) and their precursors in the boundary layer (BL) of the Colorado Front Range during the Front Range Air Pollution and Photochemistry Éxperiment (FRAPPÉ, July–August 2014) was analyzed by in situ measurements and chemical transport modeling. Measurements indicated significant production of secondary OA (SOA), with enhancement ratio of OA with respect to carbon monoxide (CO) reaching 0.085±0.003 µg m−3 ppbv−1. At background mixing ratios of CO, up to  ∼  1.8 µg m−3 background OA was observed, suggesting significant non-combustion contribution to OA in the Front Range. The mean concentration of OA in plumes with a high influence of oil and natural gas (O&amp;G) emissions was  ∼  40 % higher than in urban-influenced plumes. Positive matrix factorization (PMF) confirmed a dominant contribution of secondary, oxygenated OA (OOA) in the boundary layer instead of fresh, hydrocarbon-like OA (HOA). Combinations of primary OA (POA) volatility assumptions, aging of semi-volatile species, and different emission estimates from the O&amp;G sector were used in the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) simulation scenarios. The assumption of semi-volatile POA resulted in greater than a factor of 10 lower POA concentrations compared to PMF-resolved HOA. Including top-down modified O&amp;G emissions resulted in substantially better agreements in modeled ethane, toluene, hydroxyl radical, and ozone compared to measurements in the high-O&amp;G-influenced plumes. By including emissions from the O&amp;G sector using the top-down approach, it was estimated that the O&amp;G sector contributed to  &lt;  5 % of total OA, but up to 38 % of anthropogenic SOA (aSOA) in the region. The best agreement between the measured and simulated median OA was achieved by limiting the extent of biogenic hydrocarbon aging and consequently biogenic SOA (bSOA) production. Despite a lower production of bSOA in this scenario, contribution of bSOA to total SOA remained high at 40–54 %. Future studies aiming at a better emissions characterization of POA and intermediate-volatility organic compounds (IVOCs) from the O&amp;G sector are valuable