An Analysis of RF Transfer Learning Behavior Using Synthetic Data

Transfer learning (TL) techniques, which leverage prior knowledge gained from data with different distributions to achieve higher performance and reduced training time, are often used in computer vision (CV) and natural language processing (NLP), but have yet to be fully utilized in the field of radio frequency machine learning (RFML). This work systematically evaluates how radio frequency (RF) TL behavior by examining how the training domain and task, characterized by the transmitter/receiver hardware and channel environment, impact RF TL performance for an example automatic modulation classification (AMC) use-case. Through exhaustive experimentation using carefully curated synthetic datasets with varying signal types, signal-to-noise ratios (SNRs), and frequency offsets (FOs), generalized conclusions are drawn regarding how best to use RF TL techniques for domain adaptation and sequential learning. Consistent with trends identified in other modalities, results show that RF TL performance is highly dependent on the similarity between the source and target domains/tasks. Results also discuss the impacts of channel environment, hardware variations, and domain/task difficulty on RF TL performance, and compare RF TL performance using head re-training and model fine-tuning methods.Comment: arXiv admin note: substantial text overlap with arXiv:2206.0832

An Examination of Accessible Hands-on Science Learning Experiences, Self-confidence in One’s Capacity to Function in the Sciences, and Motivation and Interest in Scientific Studies and Careers.

This study examined the potential relationship of accessible hands-on science learning experiences to the development of positive beliefs concerning one’s capacity to function in the sciences and motivation to consider science as a college major and career. Findings from Likert survey items given before and after engaging in accessible hands-on science laboratories show that students who were blind or had low vision (BLV) were more likely to agree with the following items after engaging in accessible science experiences: 1) I plan on enrolling as a science major in college; 2) My educational experiences, so far, have given me the confidence that I need to decide on majoring in an area of science in college and then a career in science; 3) I feel that I have the skills needed to independently perform a lab activity in (on) ______; 4) I feel that I have the skills needed to independently start data collection during a lab activity in ______; 5) I feel that I have the skills needed to independently stop data collection on a lab activity in ______; 6) I was actively involved in data collection during the______ lab. The Likert survey findings are consistent with the notion that accessible science activities may foster the development of self-beliefs that one has the capacity to independently function in scientific domains, which may promote an inclination to consider scientific pursuits. Insufficient accessible science learning experiences may contribute to the underrepresentation of individuals with disabilities in science, technology, engineering, and mathematics (STEM) fields. Providing accessible science learning activities may help to increase both the number of individuals who have disabilities and diversity in the STEM fields

Collaborative Development of Clinical Trials Education Programs for African-American Community-Based Organizations

This paper describes the use of a unique ”Learning and Feedback” approach to tailor cancer clinical trials education programs for Community Bridges, a peer training intervention designed for African American communities in North Carolina. Generic community education modules were demonstrated with key community leaders who were designated as trainers. Quantitative and qualitative assessments were provided on understanding of content, comfort with material and cultural relevance. The generic materials were adapted into three revised modules, all featuring key messages about cancer clinical trials, discussion regarding distrust of medical research, common misconceptions about trials, patient protections, and a call to action to prompt increased inquiry about locally available trials. The revised modules were then used as part of a train-the-trainer program with 12 African American community leaders. ENACCT’s use of the Learning and Feedback process is an innovative method for culturally adapting clinical trials education

Evaluating a Community-Partnered Cancer Clinical Trials Pilot Intervention with African American Communities

Cancer Clinical Trial (CCT) accrual and retention rates remain disproportionately low among African Americans. Awareness and access to trials are crucial facilitators of trial participation. Strategies developed within a community-based participatory framework (CBPR) are potential solutions to increase awareness and access to CCTs. In this study, we describe the pilot phase of three innovative community-centered modules to improve basic CCT knowledge, awareness of locations to access CCT information, and opportunities to participate in CCTs

‘Building for the Future?’ Government and Industry Responses to the Challenges of Talent Management in China Following the GFC

China suffered minimal fallout from the global financial crisis due to its burgeoning economy and ‘socialism with Chinese characteristics’ political strategy. However, despite this, its industries face enormous human resource management (HRM) challenges associated with the country's rapid economic growth. Principal amongst these HRM challenges is the need to attract and retain crucial talent. It is likely that if Chinese industry is unsuccessful in these endeavours, the future economic growth of China may be stalled, resulting in more serious long-term outcomes. This paper explores these challenges together with some possible solutions and future research directions