12137 research outputs found
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“Unbreak My Heart”: Clinical Implications for Working With Bereaved Couples
Death and bereavement remain a cultural taboo that continues to impact helping professionals. The death of a child is a particularly difficult loss as it challenges expectations about the life cycle. Many clinicians find themselves unprepared and ill-equipped to appropriately intervene. Bereaved couples require knowledgeable and culturally competent support to facilitate positive and healthy outcomes. The aim of this article is to provide clinicians with a theoretical framework and clinical conceptualization to assess and intervene in the lives of bereaved couples.https://opus.govst.edu/fac/1116/thumbnail.jp
An Introduction to Critical Thinking & Research Writing in the Social Sciences
This book is an easy-to-read workbook that helps undergraduate students learn the basics about understanding research articles and arguments and begin the process themselves. This book uses critical thinking skill building to form the basis of successfully writing a literature review.https://opus.govst.edu/fac/1112/thumbnail.jp
Commentary: Unbiasing Genome-Based Analyses of Selection: An Example Using Iconic Shark Species
Yamaguchi and Kuraku (2021) published an opinion article in this special issue of Frontiers in Marine Science, discussing certain analyses of the white shark genome, published earlier in another journal (Marra et al., 2019). Their opinion article involves selected data from our paper, as well as data released by others, subsequent to the analyses reported in our paper. We here, address their opinions.https://opus.govst.edu/fac/1099/thumbnail.jp
Effects of Thinning on Soil Nutrients in a Chronosequence of Chinese Fir in Subtropical China
https://opus.govst.edu/fac/1094/thumbnail.jp
Non-targeted Metabolomics Reveal the Impact of Phenanthrene Stress on Root Exudates of Ten Urban Greening Tree Species
Different root exudations can modify the bioavailability of persistent organic pollutants (POPs). Among these exudations, the low molecular weight organic acids play an imperative role in this process. The study was conducted to analyze the effect of phenanthrene (PHE) stress on root exudation variations and changes in its chemical composition in ten urban greening tree species, namely Loropetalum chinense, Gardenia ellis, Photinia fraseri, Ligustrum japonicum, Rhododendron simsii, Osmanthus fragrans, Gardenia jasminoides, Buxus sinica, Camellia sasanqua, and Euonymus japonicas. The experiment was carried out in three PHE concentration treatments (0 mg kg−1 (CK), 200 mg kg−1 (PHEL), 2000 mg kg−1 (PHEH)). The root exudates were collected and analyzed by GC-MS method. In total, 673 compounds were identified either with high or low abundance among all species and treatments. Compounds identified in CK, PHEL, and PHEH were 240, 180, and 256, respectively. The results illustrated that carbohydrates, phenols, and esters were the dominant compounds, accounted for more than 92%. Principal component analysis depicted that tree species grown in PHEH showed obvious alteration in compounds of root exudation, whereas little difference was noticed between PHEL and CK. Phenols (80%) were the most abundant, while nitriles contributed a small portion. Moreover, among all species, R. simsii released the maximum number of compounds, and L. japonicum released the least number of compounds accounting for 89 and 46, respectively. The results achieved here to illustrate that plant type, and PHE stress can significantly change the concentrations and species of root exudates. This study provides the scientific reference for understanding the phenanthrene responsive changes in root exudates and phytoremediation of polycyclic aromatic hydrocarbons (PAHs), as well as a screening of urban greening tree species.https://opus.govst.edu/fac/1092/thumbnail.jp
Robust Event Classification Using Imperfect Real-world PMU Data
This paper studies robust event classification using imperfect real-world phasor measurement unit (PMU) data. By analyzing the real-world PMU data, we find it is challenging to directly use this dataset for event classifiers due to the low data quality observed in PMU measurements and event logs. To address these challenges, we develop a novel machine learning framework for training robust event classifiers, which consists of three main steps: data preprocessing, fine-grained event data extraction, and feature engineering. Specifically, the data preprocessing step addresses the data quality issues of PMU measurements (e.g., bad data and missing data); in the fine-grained event data extraction step, a model-free event detection method is developed to accurately localize the events from the inaccurate event timestamps in the event logs; and the feature engineering step constructs the event features based on the patterns of different event types, in order to improve the performance and the interpretability of the event classifiers. Based on the proposed framework, we develop a workflow for event classification using the real-world PMU data streaming into the system in real-time. Using the proposed framework, robust event classifiers can be efficiently trained based on many off-the-shelf lightweight machine learning models. Numerical experiments using the real-world dataset from the Western Interconnection of the U.S power transmission grid show that the event classifiers trained under the proposed framework can achieve high classification accuracy while being robust against low-quality data.https://opus.govst.edu/fac/1051/thumbnail.jp
Culture of Prevention and Early Disease Detection of Cancer in Russia
This study analyzed the early cancer detection in Russia. Using data from the Russian Ministry of Health from 2005 to 2016, this study aims to evaluate relationships between the number of patients diagnosed with I-II stage of cancer with the number of preventive visits, screening tests, and expedited access to specialists. The results of de-trending time-series model indicate that the number of specialists in outpatient facilities and the number of patients\u27 preventive visits positively affect the number of patients diagnosed with cancer for the first time and the number of patients diagnosed with I-II degree cancer. The Russian Federation\u27s experience suggests that early detection of cancer can be achieved by increasing the number of early cancer screening facilities, providing free screening, and moderating geographical and time constraints that prevent people of different geographic and socio-economic backgrounds from being screened. Another strategy includes dispelling myths associated with cancer screening, fostering outreach and patient education, and assuring availability and timely referrals to specialists and laboratory work.https://opus.govst.edu/fac/1041/thumbnail.jp
Effect of the COVID-19 on Perceptions of Health, Anticipated Need for Health Services, and Cost of Health Care
Objective: This article investigates how perceived vulnerability to the coronavirus disease 2019 (COVID-19) pandemic at its early stages is associated with people\u27s perception of their health, the need for health-care services, and expenses related to addressing the COVID-19 impact on their health. Methods: The results are based on the analysis of surveys that were distributed among members of 26 random Facebook groups in April-May, 2020. Perceived COVID-19 pandemic related stress and health concerns were examined by using the analysis of variance (ANOVA) test. Results: Among 315 respondents, 64% have experienced COVID-19 related stress and identified anxiety, headache, insomnia, and weight gain as their primary health concerns. The ANOVA test revealed that females are more impacted by the COVID-19 stress than males. Around 40% of respondents believed that the COVID-19 would lead to an increase in the cost of health services, and 20% of respondents anticipated that the COVID-19 pandemic would increase their need for health services. Conclusions: Learning about how people perceive the COVID-19 pandemic impact on their health, particularly in the pandemic\u27s early stages can allow health professionals to develop targeted interventions that can influence pandemic preventative behaviors among different population groups. This study can help understand use patterns and mitigate financial barriers that could interfere with patients\u27 care-seeking behavior.https://opus.govst.edu/fac/1039/thumbnail.jp
Cross-cultural Issues in Business Ethics: A Review and Research Agenda
This paper reports a systematic literature review of articles published over the past 35 years on cross-cultural issues in business ethics. A screening process resulted in a final sample of 306 papers in 26 double-blind reviewed journals with an impact factor score of at least 1.0 in the field. This study uses citation analysis, systematic literature review method, and knowledge-stock analysis. This study highlights the findings from prior studies, compares and contrasts salient characteristics and provides directions for future research. This study identifies important gaps between the literature and the challenges of cross-cultural issues in business ethics. These gaps include lack of conceptual articles, multi-countries level analysis, and deficiency of comparison analysis between developed and developing countries. This article proposes to apply virtue ethics and model of cultural sense-making as some analytical frameworks in the field of cross-cultural issues in business ethics. This review of the literature could provide managers with a longitudinal perspective on how the institutional environment and national culture affect business ethics perception of employees. This paper contributes to the cross-cultural literature on ethical attitudes, helps us better understand cross-cultural differences in business ethics, and provides directions for further research.https://opus.govst.edu/fac/1037/thumbnail.jp
Writing a Book for the First Time: A Few Things to Consider
This workshop will focus on the book writing process, how to get started, and managing the overall project