The Effects of Students’ Middle-School and High-School Experiences on Completion of the Bachelor’s Degree: How Can School Counselors Make a Difference?

Trusty and Hutchinson present a brief overview and analysis of the Research Monograph, Effects of Students’ Middle-School and High-School Experiences on Completion of the Bachelor’s Degree. They offer a discussion of the association between certain middle and high school student variables on the completion or non-completion of the bachelor\u27s degree. In addition, they provide best practices and suggestions for school counselors to apply the findings to their own contexts

Approximate transition probabilities and lifetime of some of the excited states of neutral iodine

Transition probabilities and lifetimes of energy states of neutral iodin

Lifetime and transition probabilities of Np4 - /n plus 1/ p states of Ne 2, A 2, and Kr 2

Calculation of lifetime and transition probability of p-excited states of neon, argon, and krypto

Effects of Students\u27 Middle-School and High-School Experiences on Completion of the Bachelor\u27s Degree

Jerry Trusty authored the first Center Research Monograph Effects of Students’ Middle-School and High-School Experiences on Completion of the Bachelor’s Degree. This monograph reports critically important research on the impact of students’ middle and high school experiences on later success in earning a Bachelor’s degree. In addition, the monograph presents a model that summarizes relationships between student experiences and later college success and identifies ways school counselors can intervene to foster success. This important work establishes significant relationships between proximal factors such as science and math course taking and long term success in higher education. It identifies specific points of intervention for school counselors that can be expected to have long term effects on student success

Creating and Measuring Shared Economic and Social Value in Developing Countries Through Cross-Sector Partnerships

This dissertation consists of three manuscripts that examine the collaboration of non-profit, non-governmental organizations (NGOs) and social enterprises with multi-national enterprises (MNEs) in developing countries. The first manuscript examines the new breed of NGOs that have a market-based focus rather than an aid-based, CSR focus. Drawing from preliminary interviews with businesses, non-profit organizations, and social enterprises in Kenya, the study theorizes a model of the processes behind this change. The second manuscript addresses how partnerships with NGOs can facilitate market entry for MNEs. Using a case study of American Standard and their involvement with International Development Enterprises (iDE) and other NGOs, the study demonstrates the contributions and challenges of cross-sector partnerships in each phase of American Standard\u27s market entry into Bangladesh and sub-Saharan Africa. The final paper examines the measurement and reporting practices for corporate social initiatives. Using content analysis of sustainability reports, an assessment of sustainability reporting and measurement processes was conducted to identify best practices and challenges in the measurement of corporate social initiatives. The manuscript examines the alignment of corporate performance indicators with the United Nation\u27s Sustainable Development Goals and offers a framework to aid researchers and managers in the development of performance measures. These three manuscripts highlight the important motivators underlying the rise in MNE-NGO collaboration and offer insight in the creation of shared economic and social value in developing country environments

COVID-19 Classroom Occupancy Detection System

The classroom occupancy detection system aims to limit the spread of COVID-19 and support mitigation efforts advised by national and international health organizations by enforcing social distancing in classroom environments. Utilizing the RaspberryPi computer and its compatible camera module, the system accomplishes this by capturing an overhead image of a classroom and assessing the image for violations. Here, violations are defined as the presence of adjacent occupied seats. As such, for an acceptable state to be detected, there must be at least one vacant seat between all students seated in the classroom. The system communicates the classroom’s state with two light-emitting diode circuits, illuminating a green LED to denote an acceptable state and a red LED to denote one or more violations. System performance was evaluated under three test case scenarios with a simulated classroom environment. The test case results revealed that the system can accurately detect acceptable conditions, as well as the presence of one or more seating violations. However, the inability to account for human behaviors and complex seating layouts limits the system’s real-world functionality. Despite its current limitations, this project suggests that image processing techniques may be a feasible solution to support social distancing in the classroom

Diabetic Foot Exam System

The diabetic foot exam system aims to perform certain aspects of the dermatological and musculoskeletal assessments that are typical to a 3-minute diabetic foot exam. Utilizing the RaspberryPi computer and camera module, the system seeks to capture a series of images of the patient’s foot. It then evaluates these images for calluses, blisters, and three types of deformities: claw toe deformities, hammertoe deformities, and bunions. This evaluation is performed using a trained TensorFlow image classification model, which categorizes the image as a callus, blister, or deformity. The system was tested using six different images: four callus images, a hammertoe deformity image, and a claw toe deformity image. One of the callus images and the hammertoe image were correctly classified. The remaining images were incorrectly classified with high confidence levels, suggesting that there is overfitting in the model. These results emphasize the need for a larger, more diverse dataset for training and validation, as well as additional image processing techniques such as background subtraction, to improve system functionality

Quality Assurance and the Extended Campus

In today\u27s market when companies are concerned for the fading dollar, the same can be said about academic institutions. Universities and colleges are being affected by the current economic downturn. But not only is funding an issue but also the prospective student. An equally important concern that schools of higher learning must contend with is that of accreditation. This paper will discuss a process that can be formal or informal but must be considered by faculty and administration in the extended campus to ensure that how the courses are established and the method of delivery is of a quality that will bring in the students and provide an outline to justify accreditation