Herman E. Ray
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View article: Improving Network Threat Detection by Knowledge Graph, Large Language Model, and Imbalanced Learning
Improving Network Threat Detection by Knowledge Graph, Large Language Model, and Imbalanced Learning Open
Network threat detection has been challenging due to the complexities of attack activities and the limitation of historical threat data to learn from. To help enhance the existing practices of using analytics, machine learning, and artific…
View article: Comparing prospectively assigned trial and real-world lung cancer patients
Comparing prospectively assigned trial and real-world lung cancer patients Open
Aim: To evaluate the comparability of a probable clinical trial (CT) cohort derived from electronic medical records (EMR) data with a real-world cohort treated with the same therapy and identified using the same inclusion and exclusion cri…
View article: Which factors contribute to standardized test scores for prospective general science teachers: an analysis of the PraxisⓇ general science content knowledge test
Which factors contribute to standardized test scores for prospective general science teachers: an analysis of the PraxisⓇ general science content knowledge test Open
Effective science instruction and associated student learning is reliant upon a strong foundation of teacher content knowledge. This study of the Praxis Ⓡ General Science Content Knowledge Test from May 2006 to June 2016 investigates conte…
View article: Improving Real-World Mortality Data Quality in Oncology Research: Augmenting Electronic Medical Records With Obituary, Social Security Death Index, and Commercial Claims Data
Improving Real-World Mortality Data Quality in Oncology Research: Augmenting Electronic Medical Records With Obituary, Social Security Death Index, and Commercial Claims Data Open
PURPOSE This study evaluated the relative improvements in mortality data capture of adding different external data to enriched electronic medical records (EMRs) for patients with melanoma. METHODS An enriched EMR database, containing struc…
View article: Reproducible clustering with non-Euclidean distances: a simulation and case study
Reproducible clustering with non-Euclidean distances: a simulation and case study Open
Certain categorical sequence clustering applications require path connectivity, such as the clustering of DNA, click-paths through web-user sessions, or paths of care clustering with sequences of patient medical billing codes. $$K$$ -mea…
View article: Which factors contribute to standardized test scores for prospective general science teachers: An analysis of the PraxisⓇ General Science Content Knowledge Test.
Which factors contribute to standardized test scores for prospective general science teachers: An analysis of the PraxisⓇ General Science Content Knowledge Test. Open
This study aims to contribute to the knowledge base of what is known about the general science certified teaching population. Studies have shown that science teacher content knowledge is among the most foundational components of effective …
View article: Reproducible Clustering with Non-Euclidean Distances: A Simulation and Case Study
Reproducible Clustering with Non-Euclidean Distances: A Simulation and Case Study Open
Certain categorical sequence clustering applications require path connectivity, such as the clustering of DNA, click-paths through web-user sessions, or paths of care clustering with sequences of patient medical billing codes. K-means and …
View article: A Longitudinal Study Identifying the Characteristics and Content Knowledge of Those Seeking Certification to Teach Secondary Biology in the United States
A Longitudinal Study Identifying the Characteristics and Content Knowledge of Those Seeking Certification to Teach Secondary Biology in the United States Open
Demographic and performance data from examinees who took the Praxis® Biology Subject Assessment exam from 2006 to 2015 were compared. Findings revealed substantial differences in average performance and pass rates between examinees of diff…
View article: Perceived Stress, Work-Related Burnout, and Working From Home Before and During COVID-19: An Examination of Workers in the United States
Perceived Stress, Work-Related Burnout, and Working From Home Before and During COVID-19: An Examination of Workers in the United States Open
The purpose of the study was to understand the impact of involuntary remote working during the early phases of the COVID-19 pandemic on perceived stress and work-related burnout for workers with and without previous experience of remote wo…
View article: Evaluation of imputation techniques with varying percentage of missing data
Evaluation of imputation techniques with varying percentage of missing data Open
Missing data is a common problem which has consistently plagued statisticians and applied analytical researchers. While replacement methods like mean-based or hot deck imputation have been well researched, emerging imputation techniques en…
View article: Improving logistic regression on the imbalanced data by a novel penalized log-likelihood function
Improving logistic regression on the imbalanced data by a novel penalized log-likelihood function Open
Logistic regression is estimated by maximizing the log-likelihood objective function formulated under the assumption of maximizing the overall accuracy. That does not apply to the imbalanced data. The resulting models tend to be biased tow…
View article: Feasibility of Minimal Dose High Intensity Body-weight Circuit Training in Individuals With Type 2 Diabetes: A Pilot Study: High Intensity Body-weight Circuit T2DM
Feasibility of Minimal Dose High Intensity Body-weight Circuit Training in Individuals With Type 2 Diabetes: A Pilot Study: High Intensity Body-weight Circuit T2DM Open
Background: The use of body-weight resistance exercise and a minimal time duration requirement can be combined to form a high intensity body-weight circuit training program (HIBC), and may be a feasible and attractive option for those with…
View article: “I’m not Working from Home, I’m Living at Work”: Perceived Stress and Work-Related Burnout before and during COVID-19
“I’m not Working from Home, I’m Living at Work”: Perceived Stress and Work-Related Burnout before and during COVID-19 Open
The purpose of the study was to better understand the relationships among stress, work-related burnout, and remote working brought on by social distancing efforts and stay at home orders put in place during the COVID-19 pandemic. The autho…
View article: Influence of Syllabus Tone on Student Engagement in a Wellness Course
Influence of Syllabus Tone on Student Engagement in a Wellness Course Open
This study examines the impact of changing the tone of a traditional syllabus to make it more learner-centered. The researchers examined a required wellness course that serves over 8,000 students per year at a large, four-year public unive…
View article: Diagnosing the current state of out-of-field teaching in high school science and mathematics
Diagnosing the current state of out-of-field teaching in high school science and mathematics Open
The U.S. government has acknowledged the critical role that teachers play in the production of Science, Technology, Engineering, and Mathematics (STEM) professionals who will drive our nation's economy. The No Child Left Behind Act of 2001…
View article: Analysis of Praxis physics subject assessment examinees and performance: Who are our prospective physics teachers?
Analysis of Praxis physics subject assessment examinees and performance: Who are our prospective physics teachers? Open
A generally agreed upon tenant of the physics teaching community is the centrality of subject-specific expertise in effective teaching. However, studies which assess the content knowledge of incoming K–12 physics teachers in the U.S. have …
View article: Who Becomes U.S. Mathematics Teachers: A Longitudinal Analysis of First-time Praxis® II Mathematics Content Knowledge Examinees
Who Becomes U.S. Mathematics Teachers: A Longitudinal Analysis of First-time Praxis® II Mathematics Content Knowledge Examinees Open
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View article: Towards a high quality high school workforce: A longitudinal, demographic analysis of U.S. public school physics teachers
Towards a high quality high school workforce: A longitudinal, demographic analysis of U.S. public school physics teachers Open
Efforts to improve the number and quality of the high school physics teaching workforce have taken several forms, including those sponsored by professional organizations. Using a series of large-scale teacher demographic data sets from the…
View article: Setting a Standard for Chemistry Education in the Next Generation: A Retrosynthetic Analysis
Setting a Standard for Chemistry Education in the Next Generation: A Retrosynthetic Analysis Open
A diverse and highly qualified chemistry teaching workforce is critical for preparing equally diverse, qualified STEM professionals. Here, we analyze National Center for Education Statistics (NCES) Schools and Staffing Survey (SASS) data t…
View article: Long-term community-based results of breast-conserving therapy in early-stage breast cancer
Long-term community-based results of breast-conserving therapy in early-stage breast cancer Open
Background Multicenter clinical trials conducted primarily at academic centers have shown that breast-conserving therapy (BCT) and mastectomy lead to equivalent overall survival (OS) for women with early-stage breast cancer.Objective To de…
View article: Highly Qualified or Highly Unqualified? A Longitudinal Study of America's Public High School Biology Teachers
Highly Qualified or Highly Unqualified? A Longitudinal Study of America's Public High School Biology Teachers Open
In this report, we trace the historical demographic features of biology teachers, the largest disciplinary education workforce in science between 1987 and 2007, using data from the National Center for Education Statistic's Schools and Staf…