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Effects of three modest levels of proximal loading on marathon pace running economy
No full text© Western Kentucky University. All rights reserved. This study examined the effect of modest increases in proximal body mass on running economy expressed as metabolic cost (MC). External loads of 1.6 (L), 2.4 (M), and 3.2 kg (H) were added to the anterior and posterior torso region of male (n = 18) and female (n = 18) runners using a double-layered compression garment with gel inserts. MC was evaluated using stoichiometry equations of data collected via indirect calorimetry. Data was collected during four, 5-min running bouts at marathon pace for the 3 load levels and an unloaded state (CON). When data from both sexes were combined, MC for CON (13.2 ± 2.7) was lower (p \u3c 0.05) versus L (13.5 ± 2.6), M (13.6 ± 2.6), and H (13.7 ± 2.6 kcal/min), but L did not differ from CON when data was analyzed for each sex. Male runners exhibited stepped increases in MC across loads and a weak-moderate relationship (r = 0.37; p \u3c 0.01) between percentage change in absolute MC and increased percent body mass. A prediction model for MC (∆% kcal/min = 0.98(∆% body mass) – 0.91; SEE = ± 2.5%) was developed. For female runners, L increased MC by ~3.5% above CON, but no differentiation was found among L, M, and H, limiting the development of a prediction equation for females. Modest increases in body mass can produce detectable and potentially important levels of running economy impairment, but the relationship between changes in body mass and RE are complex, particularly in regards to sex
Tricyclic Antipsychotics Promote Adipogenic Gene Expression to Potentiate Preadipocyte Differentiation in vitro
No full text© 2020, Japan Human Cell Society. Antipsychotic-induced weight gain is a well-established but poorly understood clinical phenomenon. New mechanistic insights into how antipsychotics modulate adipose physiology are sorely needed, in hopes of either devising a therapeutic intervention to ameliorate weight gain or contributing to improved design of future agents. In this study, we have hypothesized that the weight gain-associated tricyclic antipsychotics clozapine and chlorpromazine directly impact adipose tissue by potentiating adipogenic differentiation of preadipocytes. Utilizing a well-established in vitro model system (3T3-L1 preadipocyte cell line), we demonstrate that, when applied specifically during induction of adipogenic differentiation, both clozapine and chlorpromazine significantly potentiate in vitro adipogenesis, observed as morphological changes and increased intracellular lipid accumulation. These persistent effects, observed at endpoints well after the end of antipsychotic exposure, are accompanied by increased transcript- and protein-level expression of the mature adipocyte marker perilipin-1, as indicated by RT-qPCR and Western blotting, but not by further upregulation of pro-adipogenic transcription factors versus positive controls. Our findings point to a possible physiological mechanism of antipsychotic-induced hyperplasia, with potentiated expression of mature adipocyte markers enhancing the differentiation and maturation of preadipocytes
Saxifraga tridactylites (Saxifragaceae) Naturalized in the Southeastern and Northwestern United States
No full text© Copyright 2020 Southern Appalachian Botanical Society. Saxifraga tridactylites (Saxifragaceae), an annual herb native to northwest Africa, southwestern Asia, Europe, northeastern Iran, and western Russia, has rapidly naturalized in two geographically distinct areas of the United States: the Southeast and the Northwest. In the Southeast, the spread has been exceedingly fast and poses a potential threat to xeric limestone habitats of the Interior Low Plateau and Ridge and Valley physiographic provinces. Prior to our work, S. tridactylites appeared to be an insignificant introduction, only documented in a few North American locations in British Columbia and Oregon. Here, we show that the North American distribution is much greater than previously reported, with records from four counties in the Northwest and 53 counties in the Southeast: northern Alabama (14 counties), northwest Georgia (two counties) northern Mississippi (five counties), and southern Tennessee (32 counties). To our knowledge, it has not yet dispersed into Arkansas, Kentucky, or North Carolina
On the e\u3csup\u3e-\u3c/sup\u3e - C60 elastic angle-differential scattering cross section
No full text© 2020 Institute of Physics Publishing. All rights reserved. We study theoretically the experimental angle-differential elastic electron scattering off a C60 fullerene with the aim to elucidate whether its features depend primarily on the details of the full molecular potential of C60 or they can be understood without reference to the full nature of the potential. We demonstrate the success of the latter option
Your class is online now: Now What? How Online Creative Writing Can Offer a More Democratic Space and a Few Specific Examples
Full text linkFive accomplished, diverse writers who teach creative writing online confront the challenges of remote courses and programs, offering experiences, assignments, and best practices that meet the specific needs of online writing students and help these learners to succeed and soar. Panelists provide valuable takeaways for writers considering remote education, for curriculum designers, and for the growing number of faculty who will choose or need (for the same reasons as students) to teach online
Mid-Sized University, Global Reach: The Impact of Using NASIG Core Competencies to Build and Grow Our Scholarly Repository
Full text linkhttps://ir.una.edu/libfacpresentation/1043/thumbnail.jp
Creating welcoming communities for LGBTQ migrants: Living room-style chats for service providers
No full text© 2020, © 2020 Taylor & Francis Group, LLC. Lesbian, gay, bisexual, transgender, and questioning/queer (LGBTQ) people face widespread oppression around the world, leading some to decide emigrate, and some to be forced to seek refuge in other countries. As a result of past human rights abuses, often by their own ethnic communities, many are reluctant to connect with their co-nationals once in a new country. This leaves them isolated with no community to turn to. Hence, it is critical to enhance service providers’ knowledge and attitudes about this population, thereby enhancing their capacity to serve these clients effectively. We describe a training for service providers in the form of a “living room-style chat.” A pilot evaluation of the training indicates that participants’ confidence in working with LGBTQ migrants increased across several dimensions. We present recommendations for replicating these living room-style chats in other communities
Supervised machine learning and feature selection for a document analysis application
No full textCopyright © 2020 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved. Over the past three decades large amounts of information have been converted to image formats from paper documents. Though in digital form, extracting the information, usually textual, from these documents requires complex image processing and optical character recognition techniques. The processing pipeline from the image to information typically includes an orientation correction task, document identification task, and text analysis task. When there are many document variants the tasks become difficult requiring complex sub-analysis for each variant and quickly exceeds human capability. In this work, we demonstrate a document analysis application with the orientation correction and document identification task carried out by supervised machine learning techniques for a large, international airline. The documents have been amassed over forty years with numerous variants and are mostly black and white, typically consist of text and lines, and some have extensive noise. Low level symbols are extracted from the raw images and separated into partitions. The partitions are used to generate statistical features which are then used to train the classifiers. We compare the classifiers for each task (e.g. decision tree, support vector machine, and random forest) to choose the most appropriate. We also perform feature selection to reduce the complexity of the document type classifiers. These parsimonious models result in comparable accuracy with 80% or fewer features
Assessing Students’ Object-Oriented Programming Skills with Java: The “Department-Employee” Project
No full text© 2018, © 2018 International Association for Computer Information Systems. Java is arguably today’s most popular and widely used object-oriented programming language. Learning Java is a daunting task for students, and teaching it is a challenging undertaking for instructors. To assess students’ object-oriented programming skills with Java, we developed the “Department-Employee” project. In this article, we review the history of object-oriented programming, provide an overview of object-oriented programming with Java, and present a summary of existing Java projects and their limitations. We also provide the project specifications as well as the course background, grading rubric, and score reports. Survey data are presented on students’ backgrounds, as well as students’ perceptions regarding the project. Results from the instructor score reports, correlation of the project score and the final course score, and student perceptions show that the “Department-Employee” project is effective in assessing students’ object-oriented programming skills with Java
The contribution of behavioral economics to crisis management decision-making
No full textCopyright © Cambridge University Press and Australian and New Zealand Academy of Management 2017. Scholarly work in the field of crisis management has flourished in recent years with contributions from numerous disciplines, including strategic management, organizational behavior, public relations, risk management, and disaster management. However, the substantial and prospective applications from behavioral economics - from Herbert Simon to modern theorists - have yet to be systematically integrated into the literature. This paper presents a framework that categorizes applications from behavioral economics along three stages of the crisis management life cycle - crisis preparation, crisis action, and postcrisis. It provides insights for scholars and practitioners into the crisis decision-making process and outlines why \u27less-than-rational\u27 decision-making approaches often appear in crisis environments