Factors that Lead to Women Being Elected to State Legislatures

The question being posed in the study is “What factors predict the percentage of women in a state legislature?”. The units of analysis are the 50 states. The independent variables investigated are the percentage of votes for Trump in the 2016 election per state, population density per square mile, percentage population 65 and older per state, percentage with a bachelor’s degree or higher, 2018 per capita income, and the region of each state. The dependent value is the percentage of women elected in state legislatures. The relationship between the independent and dependent variables is expressed by five scatterplots and an analysis of variance (ANOVA). Among the independent variables, the percentage of votes for Trump in the 2016 election per state, percentage with a bachelor’s degree or higher, and 2018 per capita income were statistically significant. The percentage of votes for Trump in the 2016 election per state had a negative correlation while the other two had a positive correlation. The ANOVA showed that region explains 28% of the variance in the percentage of women elected into state legislatures

Seafarers’ depression and suicide

This review assesses available evidence on the frequency of and trends in depression and suicide among seafarers. Investigations of depression and suicide are scarce and the findings are inconsistent, they do, nevertheless, show indications of improvement although some recent case series do indicate that suicide remains a problem. A review of additional indicators for mental distress and lack of wellbeing supports the decline in frequency of problems, but nuances this in terms of the relative risks in different groups of seafarers, showing internal variations in the frequency of mental health issues among seafarers, with markers such as rank, type of voyage, gender, age, nationality and crew multiculturalism being relevant variables. The methodological limitations that hinder the understanding of depression and suicide in the maritime sector are identified

A smart environment for biometric capture

The development of large scale biometric systems require experiments to be performed on large amounts of data. Existing capture systems are designed for fixed experiments and are not easily scalable. In this scenario even the addition of extra data is difficult. We developed a prototype biometric tunnel for the capture of non-contact biometrics. It is self contained and autonomous. Such a configuration is ideal for building access or deployment in secure environments. The tunnel captures cropped images of the subject's face and performs a 3D reconstruction of the person's motion which is used to extract gait information. Interaction between the various parts of the system is performed via the use of an agent framework. The design of this system is a trade-off between parallel and serial processing due to various hardware bottlenecks. When tested on a small population the extracted features have been shown to be potent for recognition. We currently achieve a moderate throughput of approximate 15 subjects an hour and hope to improve this in the future as the prototype becomes more complete

Willie Lee Freeman

LCpl. Willie Lee Freeman, January 3, 1948 - May 27, 1968 Native Sons Exhibit Pagehttps://kb.gcsu.edu/nativesons/1011/thumbnail.jp

Silkswap: An asymmetric automated market maker model for stablecoins

Silkswap is an automated market maker model designed for efficient stablecoin trading with minimal price impact. The original purpose of Silkswap is to facilitate the trading of fiat-pegged stablecoins with the stablecoin Silk, but it can be applied to any pair of stablecoins. The Silkswap invariant is a hybrid function that generates an asymmetric price impact curve. We present the derivation of the Silkswap model and its mathematical properties. We also compare different numerical methods used to solve the invariant equation. Finally, we compare our model with the well-known Curve Finance model

The James Carter Organ Trio

The organ combo reigned supreme for several decades as a meat-and-potatoes mainstay of 50\u27s and 60\u27s jazz. In the hands of saxophonist James Carter, one of jazz\u27s most sophisticated improvisers, the organ trio is elevated by Carter\u27s virtuosic chops, the band\u27s powerful blues-drenched style, and wide-ranging repertoire collected through the members\u27 far-flung musical explorations. Relying heavily on inspired group interplay, the trio features the nimble yet muscular keyboard work of Detroit\u27s rising B3 star Gerard Gibbs and the propulsive support of drummer Alex White.https://digitalcommons.kennesaw.edu/musicprograms/2158/thumbnail.jp

Why use a connectivity-based approach to study stroke and recovery of function?

The brain is organized into a set of widely distributed networks. Therefore, although structural damage from stroke is focal, remote dysfunction can occur in regions connected to the area of lesion. Historically, neuroscience has focused on local processing due in part to the absence of tools to study the function of distributed networks. In this article we discuss how a more comprehensive understanding of the effects of stroke can be attained using resting state functional connectivity BOLD magnetic resonance imaging (resting state fcMRI). Resting state fcMRI has a number of advantages over task-evoked fMRI for studying brain network reorganization in response to stroke, including the ability to image subjects with a broad range of impairments and the ability to study multiple networks simultaneously. We describe our rationale for using resting state connectivity as a tool for investigating the neural substrates of stroke recovery in a heterogeneous population of stroke patients and discuss the main questions we hope to answer, in particular whether resting state fcMRI measures in the acute phase of stroke can predict subsequent recovery. Early results suggest that disruption of inter-hemispheric connectivity in the somatomotor network and the dorsal attention network is more strongly associated with behavioral impairment in those domains than is intra-hemispheric connectivity within either the lesioned or unaffected hemisphere. We also observe in the somatomotor network an interesting interaction between corticospinal tract damage and decreased interhemispheric connectivity that suggests that both processes combine to contribute to neuromotor impairment after stroke. A connectivity-based approach will provide greater insight into network reorganization in the acute and chronic phases after stroke and will contribute to improving prognostic ability and the development of therapeutic interventions. (C) 2012 Elsevier Inc. All rights reserved

Assume Nothing! Expect Anything! Preparing for an Interactive Classroom Experience

Interactive distance education is a technique of providing real-time instruction to learners who are located at a remote site from the instructor. Through the technology of interactive distance education, the instructor and learners have the ability to both see and hear each other during the instructional process regardless of their geographical location. This real-time interactivity among several remote sites is the major instructional advantage of this fonn of distance education. The purpose of this presentation will be to provide information concerning the effective planning and delivery of business courses via an interactive distance education setting. There were four different classes utilized for this project that included Cost Accounting, Income Tax Accounting, Principles of Business Finance, and Entrepreneurial Problem Solving. These are vocational/technical classes which ate required within the Business and Office Technology major of Mississippi Gulf Coast Community College. All classes had both on-site and remote site students enrolled. The presenters will provide information based on both practical experience developed during the instructional process and current research within the area