Senior Recital:Brittany Rose Del Signore, Clarinet

Kemp Recital Hall Sunday Noon April 20, 2008 12:00p.m

Solitude and fear during the great coronavirus war

When you get ill, the first thing that comes to your mind is, “Will I make it? Will I survive? . COVID19 has a major impact on mental health. A sadness that inundates us like a river in flood and which we cannot hold back. But the thing that torments is the solitude. Those who struggle towards recovery do it alone, and those who do not make it die alone. An emblematic experience of a sense of loneliness, depression and death during illness is deeply described. We tell how the love of family and friends can help to recover from the abyss. Fighting this battle and winning it alone is painful. A lonely death is even more painful. We must stick together virtually and think about each other. The work done with enormous strength and tenacity by doctors and nurses is a great hope for a better time. It does raise the hope that a future generation will be able to truly take care of mankind. When all this ends, we must not go back to normal. We must be reborn, better. Experience Framework This article is associated with the Patient, Family & Community Engagement lens of The Beryl Institute Experience Framework. (http://bit.ly/ExperienceFramework) Access other PXJ articles related to this lens. Access other resources related to this lens

Towards Interpretable Machine Reading Comprehension with Mixed Effects Regression and Exploratory Prompt Analysis

We investigate the properties of natural language prompts that determine their difficulty in machine reading comprehension tasks. While much work has been done benchmarking language model performance at the task level, there is considerably less literature focused on how individual task items can contribute to interpretable evaluations of natural language understanding. Such work is essential to deepening our understanding of language models and ensuring their responsible use as a key tool in human machine communication. We perform an in depth mixed effects analysis on the behavior of three major generative language models, comparing their performance on a large reading comprehension dataset, and draw some counterintuitive conclusions on the relationship between different prompt features and model accuracy and how that relationship varies between different models. Firstly, we observe a divergence in model accuracy as the prompt’s token count grows with overall stronger models increasing in accuracy and overall weaker models decreasing. Secondly, all models unexpectedly exhibit accuracy gains as they are faced with increasing syntactic complexity – a metric derived from a prompt’s constituency parse tree. Lastly, a post hoc analysis revealed that the overall most difficult prompts had the greatest ability to discriminate between different language models, suggesting their outsized usefulness in MRC evaluation methodologies. These findings raise fascinating questions about the nature of language model understanding and suggest new, more interpretable approaches to their evaluation

Locating the alien chromatin segment in common wheat-Aegilops longissima mildew resistant transfers

By use of the Chinese Spring ph 1b mutant, recombination was induced between the 3S1 short arm telosome of Ae. longissima and its group-3 wheat homoeologues. Transfer was thus obtained of chromosomal segments bearing the alien Pm 13 mildew resistance gene into several common wheat lines. To identify the wheat chromosome involved in each transfer, these were subjected to monosomic and C-banding analyses. Probably due to preferential 3B-3S1 pairing, irrespective of the group-3 wheat chromosome present as monosome in the critical steps of the transfer work, in 2/3 of the cases 3B turned out to be the recipient chromosome, whereas 3D was the one involved in the remaining ones. Assessment of the residual pairing ability of the recombinant chromosomes in F1's between four 3B and three 3D transfer lines and their corresponding wheat ditelosomic as well as 3S1 substitution lines, indicated about coincident values (about 40 % pairing with DT3BS) in three of the 3B recombinants, a significantly different pattern in the fourth one (10 %) and a more continuous variation among the 3D ones. An overall prevailing terminal location of the wheat-alien chromatin exchange points is tentatively hypothesized

Drosophila comes of age as a model system for understanding the function of cytoskeletal proteins in cells, tissues, and organisms

available in PMC 2016 June 30For the last 100 years, Drosophila melanogaster has been a powerhouse genetic system for understanding mechanisms of inheritance, development, and behavior in animals. In recent years, advances in imaging and genetic tools have led to Drosophila becoming one of the most effective systems for unlocking the subcellular functions of proteins (and particularly cytoskeletal proteins) in complex developmental settings. In this review, written for non-Drosophila experts, we will discuss critical technical advances that have enabled these cell biological insights, highlighting three examples of cytoskeletal discoveries that have arisen as a result: (1) regulation of Arp2/3 complex in myoblast fusion, (2) cooperation of the actin filament nucleators Spire and Cappuccino in establishment of oocyte polarity, and (3) coordination of supracellular myosin cables. These specific examples illustrate the unique power of Drosophila both to uncover new cytoskeletal structures and functions, and to place these discoveries in a broader in vivo context, providing insights that would have been impossible in a cell culture model or in vitro. Many of the cellular structures identified in Drosophila have clear counterparts in mammalian cells and tissues, and therefore elucidating cytoskeletal functions in Drosophila will be broadly applicable to other organisms.National Institutes of Health (U.S.) (NIH/NINDS (DP2 NS082127))Pew Scholars Program in the Biomedical SciencesNational Institutes of Health (U.S.) (NIH/NIGMS (R01-GM084947))American Cancer Society (Research Scholar Award

Republican Realignment: Building a Majority Coalition for Future Electoral Success

Since the election of President George H. W. Bush, Republican presidential candidates have had difficulty winning popular elections. Republican candidates lost five of the next six popular elections to their Democratic opponents. This paper investigates why. It outlines the growing demographic shift in electoral politics which is detrimental for future Republican success. The growing dissonance between non-white, non-male voters and the Republican Party hinders the Party’s success when its message does not resonate with a majority of voters. Utilizing realignment theory as first espoused by political scientist V. O. Key, this paper analyzes nine essential battleground states and the growing demographic shifts within them to show that Republican policies, as enumerated in The Growth and Opportunity Project, do not resonate to a larger audience. Using a 15% increase in Republican votes from the 2012 election as a baseline, this paper provides suggestions for Republican strategists to allocate funds to certain get-out-the-vote campaigns in certain states. The results of this study confirm the hypothesis set forth. Latino voters are an essential demographic which can help win Florida with a “compassionate conservative” Republican candidate. African-American voters are much more difficult to court for the Republican Party; however, a sound strategy in two adjacent states with low socio-economic upward mobility – North Carolina and Virginia – can motivate African-Americans to the polls to help win those states. Independent voters can help win small swing states with relatively little ethnic diversity. Finally, single female voters will be crucial in states in which conservative governors have had success such as Ohio and North Carolina