Design of electronic active filters from ladder networks using linear transformations

Imperial Users onl

A Statistical Study of Student Success in the BGSU Honors College

Higher education has long tried to find the best measures to predict student success. Different colleges often have different guidelines, requiring different criteria to be evaluated. The BGSU Honors College has struggled with retention and recruitment of underrepresented students with their current admission criteria. This analysis studies different measures of student success such as BGSU GPA and number of completed Honors credits for high-achieving BGSU students who enrolled from Fall 2013 through Fall 2016 to find the best predictors of student success through regression analysis. Throughout this paper, the impact of ethnicity, gender, the college of a student’s program, high school activities, and ACT scores on BGSU GPA is discussed. This study reveals that high school GPA is still the best predictor of BGSU GPA, but other variables improve predictions. Somewhat surprisingly, this analysis finds that the college of student’s academic program is a significant factor for predicting BGSU GPA and how many semesters a student is enrolled to complete his or her degree. These findings suggest that the Honors College needs to understand how its curriculum helps or hurts students in different colleges to improve student success and retention, as well as its appeal to prospective Honors students. The best model produced used high school GPA, English ACT scores, athletic activities, ethnicity, and a student’s college to predict BGSU GPA. This model can be applied to Honors applicants to help estimate how they will perform at BGSU as an Honors student

A Translation of St. Thomas Aquinas\u27 \u3cem\u3eTreatise on Evil\u3c/em\u3e

Whether man has a free choice of acts or chooses from necessity

Community Resource Center

This project highlights the importance of a safe space and intentional design- specifically when working with refugees in mind. The presentation will touch on the current global refugee crisis and propose a design plan for a refugee center; focused on alleviating these problems

A systemic evaluation of the implementation implications of an integrated, standard information system : the SAP implementation project as a viable system

Bibliography: leaves 107-108.Real-time, on-line, integrated software systems are a part of the latest technologies for large concerns as enablers for viability in an ever increasing competitive business environment. The SAP (R/3 and R/2) standard software is widely considered as one of the leading solutions and implementation projects have taken the world by storm. The software, which runs on client server systems since 1992, is expensive and takes time to install. Complete systems can run into the tens of millions of dollars and take from one to over three years to implement. The application of the software spans most of the processes of a business, logistics, finance, workflow and human resources as a real time, on-line and integrated information system enabler. Much of the data capture and some of the control aspects of the business are automated. With this sophistication comes a new level of complexity. An initial argument of the thesis is that the success of an investigation into the problems associated with SAP implementations will be dependent on the thorough development of the inquiry system as a framework for appreciating the implications of such projects. Question Which management research approach will provide useful knowledge of the situation, with challenges including variety of human interpretations and interests, the complexity of organisational regulation and the technical options of the software? A framework was developed by considering three levels for paradigms; philosophy, methodology and the application of the methodology. As a choice for the philosophical level, phenomenology was chosen with its regard for the importance of the mental models of an observer. Pragmatism, with its basis for attributing meaning on the consequences of holding a belief or assumption, is enabled by a bias towards systems thinking as an adequate way of determining an appropriate level of knowledge of possible consequences of a decision. The scientific method is the underlying guide for the inquiry process with its abductive, deductive and inductive stages. The base strength of the method, as presented by Peirce (Smith, 1995), was experienced as the rigorous attention to the development and testing of an hypothesis. Due to the variety and importance of human mterpretation regarding purposes and methods of information system implementations, the approach by Soft Systems Methodology was adopted as an enabler for an immersion into the problems of a project. As such it was the basis for the abductive stage of the inquiry. The result of this immersion determined the requirements for the choice of further methodologies. The application of the SSM inquiry is guided by seven stages of sets of questions, as the 'technical' aspect of the inquiry framework

Museums in the Present and Future

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The Use of a Series of Related Nutrition and Health Education Sessions, in Conjunction with Self-Determination Theory, to Encourage Healthy Behavioral Change—A Preliminary Study for Smoking Cessation in Substance Abuse Treatment Facilities

Currently, tobacco addiction is not commonly treated as other addictions during substance abuse treatment. This has been suggested as a substantial contribution to poor success rates of sobriety frequently seen after treatment. Self-determination theory posits that high intrinsic motivation is key for behavioral change and the Health Belief Model suggests that high perceive competency in one health behavior may yield increases in perceived competency with other health behaviors. The objective of the following study is to show that the introduction of a series of nutrition and health education sessions, which emphasizes the relationships between smoking, substance abuse, and nutrition, will result in increased self-determination (i.e. intrinsic motivation) and intentions to quit smoking for current smokers while in treatment for substance abuse addiction. Data was collected for 32 weeks at an addiction treatment facility for adults. The intervention lasted 12 weeks and consisted of a series of nutrition and health education sessions and minor changes to facility staff protocol designed to encourage autonomy, competency, and relatedness for smoking cessation. Results indicated significant increases in intention to quit smoking as well as intrinsic and extrinsic motivation towards cessation. After adjusting for age and income, results indicated differences were only associated with the top two age and income groups. Based on our findings the intervention did increase both intentions and motivations to quit smoking. However, these results were isolated to adults over the age of 35 and those with income levels higher than $30,000 a year

Clinical Text Mining: Secondary Use of Electronic Patient Records

This open access book describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records. It is divided into twelve chapters. Chapters 1-4 discuss the history and background of the original paper-based patient records, their purpose, and how they are written and structured. These initial chapters do not require any technical or medical background knowledge. The remaining eight chapters are more technical in nature and describe various medical classifications and terminologies such as ICD diagnosis codes, SNOMED CT, MeSH, UMLS, and ATC. Chapters 5-10 cover basic tools for natural language processing and information retrieval, and how to apply them to clinical text. The difference between rule-based and machine learning-based methods, as well as between supervised and unsupervised machine learning methods, are also explained. Next, ethical concerns regarding the use of sensitive patient records for research purposes are discussed, including methods for de-identifying electronic patient records and safely storing patient records. The book’s closing chapters present a number of applications in clinical text mining and summarise the lessons learned from the previous chapters. The book provides a comprehensive overview of technical issues arising in clinical text mining, and offers a valuable guide for advanced students in health informatics, computational linguistics, and information retrieval, and for researchers entering these fields