The role of the medical social worker in a polio epidemic: A study of fifty-eight cases referred to the Social Service Department of Haynes Memorial Hospital September and October, 1949

Thesis (M.S.)--Boston Universit

A new method for imaging nuclear threats using cosmic ray muons

Muon tomography is a technique that uses cosmic ray muons to generate three dimensional images of volumes using information contained in the Coulomb scattering of the muons. Advantages of this technique are the ability of cosmic rays to penetrate significant overburden and the absence of any additional dose delivered to subjects under study above the natural cosmic ray flux. Disadvantages include the relatively long exposure times and poor position resolution and complex algorithms needed for reconstruction. Here we demonstrate a new method for obtaining improved position resolution and statistical precision for objects with spherical symmetry

Production of 3D printed scale models from microscope volume datasets for use in STEM education

Understanding the three-dimensional morphology of a biological sample at the microscopic level is a prerequisite to a functional understanding of cell biology, tissue development and growth. Images of microscopic samples obtained by compound light microscopy are customarily recorded and represented in two dimensions from a single orientation making it difficult to extrapolate 3D context from the 2D information. The commercialisation of fast, laser-based microscope systems (e.g. confocal, multi-photon or lightsheet microscopy) capable of generating volume datasets of microscopic samples through optical sectioning, coupled with advances in computer technology allowing accurate volume rendering of these datasets, have facilitated significant improvement in our 3D understanding of the microscopic world in virtual space. The advent of affordable 3D printing technology now offers the prospect of generating morphologically accurate, physical models from these microscope volume datasets for use in science education, outreach and engagement. 3D printed scale replicas will provide improved sensory perception, offering tactile as well as visual interaction, leading to improved understanding of structure function relationships. Here we present a technique to reliably generate detailed, physical 3D models from Z-stacks of optical sections from confocal and lightsheet microscopes using affordable, entry-level 3D printing technology. We use the technique to generate 3D printed models of a variety of different biological samples at a range of scales including pollen grains from two species of plant; blood cells from both human and earthworm species, a section of plant root; the compound eye of an ant; and a developing Zebrafish larva; all of which have been used in our teaching, engagement and outreach activities. Our methods can, in principle, be used to generate 3D printed models from microscope volume datasets of any small fluorescent or reflective samples

Opacity calculation for target physics using the ABAKO/RAPCAL code

Radiative properties of hot dense plasmas remain a subject of current interest since they play an important role in inertial confinement fusion (ICF) research, as well as in studies on stellar physics. In particular, the understanding of ICF plasmas requires emissivities and opacities for both hydro-simulations and diagnostics. Nevertheless, the accurate calculation of these properties is still an open question and continuous efforts are being made to develop new models and numerical codes that can facilitate the evaluation of such properties. In this work the set of atomic models ABAKO/RAPCAL is presented, as well as a series of results for carbon and aluminum to show its capability for modeling the population kinetics of plasmas in both LTE and NLTE regimes. Also, the spectroscopic diagnostics of a laser-produced aluminum plasma using ABAKO/RAPCAL is discussed. Additionally, as an interesting application of these codes, fitting analytical formulas for Rosseland and Planck mean opacities for carbon plasmas are reported. These formulas are useful as input data in hydrodynamic simulation of targets where the computation task is so hard that in line computation with sophisticated opacity codes is prohibitive

Shoujo versus Seinen? Address and reception in Puella Magi Madoka Magica (2011)

This article uses the Japanese television anime series Puella Magi Madoka Magica (2011) as a case study through which to problematise the relationship between two prominent traditions within children’s literature criticism: narratology, with its vocabulary of implied readers and textual address; and reception studies, which typically gather data through empirical work with children. The figure of the “child reader” is claimed by both traditions, although in one case that reader is a textual construct and in the other a human being; yet this ambiguity is not typically addressed within studies of individual texts. Puella Magi Madoka Magica, a complex work that disrupts viewer expectations and genre assumptions, both destabilises its implied viewership and challenges conventional beliefs about the tastes and capacities of actual viewers, especially the extent to which those viewers can be categorised by age or gender. I argue that, by taking a sideways step from page to screen, and especially by analysing a non-Western work, it is possible to highlight the contingent and arbitrary nature of some of the assumptions that permeate literary critical discussion, and to help bring narratalogical and reception studies into a more productive relationship

CaveCrawler: An Interactive Analysis Suite for Cavefish Bioinformatics

The growing use of genomics data in diverse animal models enables researchers to identify genomic and transcriptional differences between species and experimental groups. Genetics databases have played critical roles in establishing the most widely recognized genetic model organisms, such as fruit flies and mice, but most emerging model species for evolutionary biology research lack such databases. One such emerging model organism is the Mexican tetra, Astyanax mexicanus. This fish species exists as eyed surface populations and at least 30 cave populations, providing a system to study convergent evolution. Further, since the surface and cave morphs differ in phenotypes with clinical relevance, the Mexican tetra is an emerging model system for human disease. Though researchers are increasingly using genomic, transcriptional, and functional genetic approaches to study disease and evolution using this species, there currently exists no centralized database for accessing Mexican tetra genetics data and comparing results from across studies. We generated a web-based analysis suite which integrates datasets from different studies, then demonstrated the utility of our tool by identifying genes whose transcription and markers of selection differ between populations and across experimental contexts. Results of diverse studies can be analyzed in conjunction with each other and with other genetic data, such as Gene Ontology (GO) information, to enable biological inferences from across studies and identify future avenues of research. Furthermore, the framework that we have built for A. mexicanus can be adjusted for use in other emerging model systems, enabling research which is only possible in species not traditionally used in genetic analyses

Alien Registration- Perry, Rose M. (Andover, Oxford County)

https://digitalmaine.com/alien_docs/17152/thumbnail.jp

Predictive AI for the S&P 500 Index

Artificial intelligence has powerful applications in virtually every field, and the financial world is no exception. Utilizing various elements of artificial intelligence, this research aims to predict the future value of the S&P 500 index using numerous models, and in doing so, identify relevant features. More specifically, models that include combinations of historical data, public sentiment, and technical indicators were employed to predict the stock price one day and three days forward. To account for public opinion, the sentiment of tweets and news headlines from the beginning of 2015 through the end of 2019 was calculated using FinBERT, a pre-trained version of BERT retrieved from the HuggingFace Model Hub and designed specifically for financial-related text. For each textual input, FinBERT provides three outputs: the probability that the text is positive, negative or neutral. These probability values were applied to approximate the number of positive, negative, and neutral tweets and news headlines each day. The following features were used in complex LSTM models: open, close, low and high prices; volume; the number of positive, negative, and neutral tweets and news headlines; relative strength index; and earnings per share. The highest performing predictive model for one day forward and three days forward utilized historical data, tweet sentiment, and the relative strength index. Coupled with other tools wielded by investors, this model can help anticipate market movements and inform decisions

Gender-Related Differences in the Prevalence of Cardiovascular Disease Risk Factors and their Correlates in Urban Tanzania.

\ud Urban areas in Africa suffer a serious problem with dual burden of infectious diseases and emerging chronic diseases such as cardiovascular diseases (CVD) and diabetes which pose a serious threat to population health and health care resources. However in East Africa, there is limited literature in this research area. The objective of this study was to examine the prevalence of cardiovascular disease risk factors and their correlates among adults in Temeke, Dar es Salaam, Tanzania. Results of this study will help inform future research and potential preventive and therapeutic interventions against such chronic diseases. The study design was a cross sectional epidemiological study. A total of 209 participants aged between 44 and 66 years were included in the study. A structured questionnaire was used to evaluate socioeconomic and lifestyle characteristics. Blood samples were collected and analyzed to measure lipid profile and fasting glucose levels. Cardiovascular risk factors were defined using World Health Organization criteria. The age-adjusted prevalence of obesity (BMI > or = 30) was 13% and 35%, among men and women (p = 0.0003), respectively. The prevalence of abdominal obesity was 11% and 58% (p < 0.0001), and high WHR (men: >0.9, women: >0.85) was 51% and 73% (p = 0.002) for men and women respectively. Women had 4.3 times greater odds of obesity (95% CI: 1.9-10.1), 14.2-fold increased odds for abdominal adiposity (95% CI: 5.8-34.6), and 2.8 times greater odds of high waist-hip-ratio (95% CI: 1.4-5.7), compared to men. Women had more than three-fold greater odds of having metabolic syndrome (p = 0.001) compared to male counterparts, including abdominal obesity, low HDL-cholesterol, and high fasting blood glucose components. In contrast, female participants had 50% lower odds of having hypertension, compared to men (95%CI: 0.3-1.0). Among men, BMI and waist circumference were significantly correlated with blood pressure, triglycerides, total, LDL-, and HDL-cholesterol (BMI only), and fasting glucose; in contrast, only blood pressure was positively associated with BMI and waist circumference in women. The prevalence of CVD risk factors was high in this population, particularly among women. Health promotion, primary prevention, and health screening strategies are needed to reduce the burden of cardiovascular disease in Tanzania.\u

Analog to Digital : Transitions in Theory and Practice in Archaeological Photography at Çatalhöyük

Archaeology and photography has a long, co-constructed history that has increasingly come under scrutiny as archaeologists negotiate the visual turn. Yet these investigations do not make use of existing qualitative and quantitative strategies developed by visual studies to understand representation in archaeological photographs. This article queries the large photographic archive created by ongoing work at the archaeological site of Çatalhöyük in Turkey to consider the visual impact of changing photographic technologies and of a shifting theoretical focus in archaeology. While using content analysis and semiotic analysis to gain a better understanding of the visual record, these analyses also unexpectedly reveal power dynamics and other social factors present during archaeological investigation. Consequently, becoming conversant in visual analyses can contribute to developing more reflexive modes of representation in archaeology