Elizabethtown College

Elizabethtown College: JayScholar@ETown
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    Transgenerational Entrepreneurship

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    Family business scholars have mainly focused on understanding how traditions and preservation of family involvement affects business. Entrepreneurship scholars’ main interest lies in discovering motivations and consequences of creating new ventures and ideas (Nordqvist et al., 2010). To understand the relationship between family businesses and entrepreneurship it is first important to understand how specific elements involved in family businesses research affect the ability of a business to act entrepreneurially. Family businesses are different than non-family businesses because of their tendency to be led by values of stewardship and socio-economic-wealth. The tight-knit relationships between members of family businesses and their efforts to preserve family ownership also have unique effects on performance and growth (Chua et al., 1999). Although the two fields have only recently come together, it is possible to examine the existing, varying scholarly opinions about entrepreneurial abilities of family firms through the lens of entrepreneurial orientation theory. This paper will build on existing research about individual entrepreneurial orientation in multi-generational family businesses analyzing surveys taken by 10 individuals from 5 different businesses about the familial elements of their business as well as their personal capacity for self-efficacy, networking, innovation, proactivity, and risk-taking. Results of the survey show a general aversion to risk, a correlation between proactiveness in individuals an family business elements, changes in networking preferences between generations, and a notable relationship between business longevity, IEO, and family business elements. On the whole, IEO still needs to be researched under many different, isolated family business contexts. But there is evidence family business elements have a positive affect IEO

    ANTA: Accelerated Network Traffic Analytics.

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    Implementing traditional machine learning models and neural networks has become trivial in detecting malicious network traffic and has sparked interest in many researchers investigating this field. Standard implementations include using the baseline models in packages such as sklearn, tensorflow, and keras. In this paper we seek to advance the field of network detection and produce results which will have great benefits in terms of speed and performance of these models. We take advantage of Intel’s DAAL and OpenVINO packages as they are the two best performance enhancing methods which are publicly available today. Furthermore, comparisons will be made to determine the impact of these two Intel packages on network intrusion detection

    Emission Dependence on Guest Molecule Structure in Luminescent Metal-Organic Frameworks Doped with Polypyridyl Osmium Complexes

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    Metal-organic frameworks (MOFs) are compounds made of a metal center coordinated with organic molecules. They form porous, 3-D, lattice-like structures that may store small molecules and can be used in analytical sensing through luminescence. Transition metal complexes (TMCs) can be incorporated into the MOF scaffold to create luminescent MOFs (LMOFs). The Zn3(bpdc)6(bpy)2 MOF, (bpdc = biphenyldicarboxylic acid, bpy = 4,4- bipyridine), has been doped previously with [Os(CO)2Cl2(dcphen)]. The produced LMOF exhibited unique fluorescence response in alcohols. A metal to ligand charge transfer (MLCT) peak from the osmium TMC in the 550-600 nm range which is observed in the activated MOF and in nonpolar solvents, is not observed when the LMOF is soaked in polar solvents. Reproducibility tests were performed for the Zn3(bpdc)6(bpy)2 MOF and LMOF. It was found through these tests and by ICP-OES analysis that variability between samples in the intensity of the MLCT peak is caused by variability in the amount of TMC incorporated into the MOF scaffold. Tests in ethanol and toluene mixtures also suggest that the shutdown of the MLCT peak occurs because ethanol destabilizes the excited states of the TMC. The unique response in polar solvent was also believed to relate to pore size, and to ethanol interacting with itself within the pores and not the osmium complex. This hypothesis was investigated by replacing bpy in the MOF scaffold with linkers of varying lengths to achieve differing pore sizes: pyrazine, DABCO, and bipyridylethylene. Of these, only the Zn LMOF with DABCO linkers showed the same response in polar solvent. This supports the dependence of the response in polar solvents on pore size. Doping of the analogous [Co3(bpdc)3(bpy)]·4 DMF·H2O MOF with [Os(CO)2Cl2(dcphen)] was attempted to gain insight into the effect of the metal center, but doping proved unsuccessful

    The Use of Yoga in Occupational Therapy for Neurologically Involved Clients

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    Living with the long-lasting effects of a cerebrovascular accident (CVA), also known as stroke, has become a reality for millions of Americans in the United States. Reduced upper and lower extremity function, decreased balance and problematic mobility, and reduced daily independence are only a few residual symptoms which can affect function and quality of life for those affected by stroke. Over seven million Americans, ages 20 or older, self-reported having had a stroke in 2018 (The American Heart Association, 2018). Projections indicate that by 2030, an additional 3.4 million Americans over the age of 18 will have had a stroke (Benjamin et al., 2018). Due to these staggering predictions, there is a need for meaningful, effective treatments to promote functioning for these individuals. Occupational therapy (OT) is a profession that plays a central role in filling this need for quality daily living. While OT has many researched and effective interventions for clients who have experienced a stroke, there are additional emerging techniques and therapeutic activities that may be beneficial for clients status post stroke, such as adapted yoga. As an OT student who has an interest in the practice area of neurology, which includes those with stroke and in optimizing functional capacity and health, I want to better understand what the literature says about how yoga is being utilized in occupational therapy with individuals who are status post stroke. To better understand the plausibility and efficacy of yoga as an intervention strategy, a comprehensive review of the availed literature is warranted. This scoping review will examine the findings of empirical studies which investigated the physical and mental benefits of yoga with the neurologically involved population of stroke

    Effectiveness of techniques to develop and assess the teamwork skills of first-year engineering students

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    This Complete Evidence-Based Practice paper explores the advantages and impact of techniques used to improve teamwork in an introduction to engineering course. The main goal of this study is to evaluate the effectiveness of methods used to develop and assess teamwork skills based on student performance and perception. This study integrates, interprets and contrasts quantitative and qualitative data obtained through a mixed-methods approach. Results indicate that students\u27 attitudes toward teamwork and their perceptions of their own teamwork skills improved over the semester

    Defining first-generation and low-income students in engineering: An exploration

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    First-generation (FG) and/or low-income (LI) engineering student populations are of particular interest in engineering education. However, these populations are not defined in a consistent manner across the literature or amongst stakeholders. The intersectional identities of these groups have also not been fully explored in most quantitative-based engineering education research. This research paper aims to answer the following three research questions: (RQ1) How do students\u27 demographic characteristics and college experiences differ depending on levels of parent educational attainment (which forms the basis of first-generation definitions) and family income? (RQ2) How do \u27first-generation\u27 and \u27low-income\u27 definitions impact results comparing to their continuing-generation and higher-income peers? (RQ3) How does considering first-generation and low-income identities through an intersectional lens deepen insight into the experiences of first-generation and low-income groups? Data were drawn from a nationally representative survey of engineering juniors and seniors (n = 6197 from 27 U.S. institutions). Statistical analyses were conducted to evaluate respondent differences in demographics (underrepresented racial/ethnic minority (URM), women, URM women), college experiences (internships/co-ops, having a job, conducting research, and study abroad), and engineering task self-efficacy (ETSE), based on various definitions of \u27first generation\u27 and \u27low income\u27 depending on levels of parental educational attainment and self-reported family income. Our results indicate that categorizing a first-generation student as someone whose parents have less than an associate\u27s degree versus less than a bachelor\u27s degree may lead to different understandings of their experiences (RQ1). For example, the proportion of URM students is higher among those whose parents have less than an associate\u27s degree than among their associate\u27s degree or more peers (26% vs 11.9%). However, differences in college experiences are most pronounced among students whose parents have less than a bachelor\u27s degree compared with their bachelor\u27s degree or more peers: having a job to help pay for college (55.4% vs 47.3%), research with faculty (22.7% vs 35.0%), and study abroad (9.0% vs 17.3%). With respect to differences by income levels, respondents are statistically different across income groups, with fewer URM students as family income level increases. As family income level increases, there are more women in aggregate, but fewer URM women. College experiences are different for the middle income or higher group (internship 48.4% low and lower-middle income vs 59.0% middle income or higher; study abroad 11.2% vs 16.4%; job 58.6% vs 46.8%). Despite these differences in demographic characteristics and college experiences depending on parental educational attainment and family income, our dataset indicates that the definition does not change the statistical significance when comparing between first-generation students and students who were continuing-generation by any definition (RQ2). First-generation and low-income statuses are often used as proxies for one another, and in this dataset, are highly correlated. However, there are unique patterns at the intersection of these two identities. For the purpose of our RQ3 analysis, we define \u27first-generation\u27 as students whose parents earned less than a bachelor\u27s degree and \u27low-income\u27 as low or lower-middle income. In this sample, 68 percent of students were neither FG nor LI while 11 percent were both (FG&LI). On no measure of demographics or college experience is the FG&LI group statistically similar to the advantaged group. Low-income students had the highest participation in working to pay for college, regardless of parental education, while first-generation students had the lower internship participation than low-income students. Furthermore, being FG&LI is associated with lower ETSE compared with all other groups. These results suggest that care is required when applying the labels first-generation and/or low-income when considering these groups in developing institutional support programs, in engineering education research, and in educational policy. Moreover, by considering first-generation and low-income students with an intersectional lens, we gain deeper insight into engineering student populations that may reveal potential opportunities and barriers to educational resources and experiences that are an important part of preparation for an engineering career

    Grandpa Interview

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    Grandpa discusses his life

    Dispatches From Student Quarantine, episode 204

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    Series of 21 episodes created by COM220. Includes contributions by students Tea Ceresini, Kaitlyn Chambers, Jessica Freels, Sarah Hasenauer, Emily Kuhn, Rachel Little, Olivia Moyer, Patrick Osborn, Rebecca Parsons, Chad Rosenberger, Cameron Scandle, Samantha Seely, William Snyder, Christopher Tongel, and Kevin Wenger

    Dispatches From Student Quarantine, episode 202

    No full text
    Series of 21 episodes created by COM220. Includes contributions by students Tea Ceresini, Kaitlyn Chambers, Jessica Freels, Sarah Hasenauer, Emily Kuhn, Rachel Little, Olivia Moyer, Patrick Osborn, Rebecca Parsons, Chad Rosenberger, Cameron Scandle, Samantha Seely, William Snyder, Christopher Tongel, and Kevin Wenger

    What My Inspiration Went Through

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    This was an interview with my nanny. She had a heart attack a couple years ago while working and collapsed, due to the heart attack she had her right leg amputated. About a year later, she was diagnosed with liver, kidney and rectal cancer and was told she only had two weeks left to live. Now it is about a year later and she is almost cancer free with just a little left with help of radiation

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