Screening and Assessment in Trauma-Informed Care: An Evidence-Based Practice Project

This Evidence-Based Practice (EBP) project examined the following question: What interprofessional and occupational therapy screening and assessment measures are used in trauma-informed care and what are their psychometric characteristics

A dynamic malware detection in cloud platform

Cloud Computing platform is the practices of remote manage network resources such as storage, application hosted on the internet rather than physical server or personal computer. Hence cloud computing not only provides high availability on elastic resources, scalable and cost efficient. This is why this this platform is widely used in information technology (IT) to support technology infrastructure and services. However, due to the complexity environment and scalability of services, one of a highest security issue is malware attacks; where some of the antivirus scanner unable to detect metamorphic malware or encrypted malware where these kind of malware able to bypass some traditional protection solution. This is why a high recognition rate and a good precision detection are important to eliminate high false positive rate. Machine learning (ML) classifiers are critical role in the artificial intelligent-system such as medical assistance detect whether the cell is cancerous or benign or to convert the spoken audio file into a text file. However machine learning will require learn from high amplitude of input data; classify then only able to generate a reliable model with high detection rate. The objective in this work is to study and performs detection based on dynamic malware analysis and classification is through WEKA classifier and Random Forest Jupyter Notebook. In this work we assess five classifiers, for instance the Random Forest in WEKA, Decision Tree (J48) in WEKA and Bayes Network (BN) in WEKA tool, and Random Forest in Jupyter Notebook comprised 9600 malware dataset obtained from Kaggle to exhibit the model’s effectiveness, out of which additional 600 are new malware dataset, whereby previous solution consist 9000 malware dataset

Sensitivity of the portmanteau statistic in time series modeling

The portmanteau statistic is commonly used for testing goodness-of-fit of time series models. However, this lack of fit test may depend on one or several atypical observations in the series. We investigate the sensitivity of the portmanteau statistic in the presence of additive outliers. Diagnostics are developed to assess both local and global influence. Three practical examples demonstrate the usefulness of the proposed diagnostics.

Voice to Vision IV: Yer's First Child Hue, Born in Laos

University of Minnesota Center for Holocaust and Genocide Studies. University of Minnesota Department of Art.University of Minnesota: Grant-in-Aid of Research; The Howard B. Brin Jewish Arts Endowment; Rimon: The Minnesota Jewish Arts CouncilFeinberg, David; Lee, Nhia; Lee, Yer; Lee, Pa Houa; Lee, Sara; Kent, Caroline; Dawson, Jamie; Massey, Rodney; Streeter, Adam. (2008). Voice to Vision IV: Yer's First Child Hue, Born in Laos. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/166615

Voice to Vision IV: Different Times, Different Cultures, Different Borders: A Ritual Crossing

University of Minnesota Center for Holocaust and Genocide Studies. University of Minnesota Department of Art.University of Minnesota: Grant-in-Aid of Research; The Howard B. Brin Jewish Arts Endowment; Rimon: The Minnesota Jewish Arts Counci

Hmong Oral History Project : Documenting the Work Experiences of Hmong Refugees

Color poster with text and photographs.A team of Hmong students interviewed Hmong elders to record their stories about their early years in the U.S., with a focus on the elders’ labor‐market experiences. It was difficult for many Hmong refugees to find jobs after they arrived in the U.S., so their economic progress was slow, on average. These interviews provided examples of the challenges refugees encountered, the tradeoffs they faced between work and family, and their gradual progress over time. In the interviews in this project, Hmong elders shared the stories behind the statistical data. We are not aware of any previous scholarly work that has paired econometric analysis of refugees’ labor market experiences with qualitative data from interviews about work histories.University of Wisconsin--Eau Claire Office of Research and Sponsored Program