Digital Commons Network^™

Method And System For Cancelling Payment Transaction Via Automatic Transaction Compensator, Surjeet Kumar, Satish Singh, Mark John Baldrick, Soorej Nair, Jan Christoffel Jacobs

Defensive Publications Series

The present disclosure relates to techniques for a sophisticated method and system designed to monitor and manage financial transactions in near real-time, specifically addressing anomalies in the transaction lifecycle. The disclosed technique introduces an Automatic Transaction Compensator (ATC) to monitor and manage financial transactions, seamlessly integrating with existing payment platforms. The ATC may autonomously detect and correct anomalies like system errors or timeouts, ensuring transaction integrity. For instance, if a successful transaction triggers an error message to the merchant, the ATC may promptly initiate a reversal to prevent unintended multiple authorizations. This compensating mechanism may operate in real-time or offline, …

Intermittent Fasting As An Adjuvant To Standard Drug Therapy For Drug Resistant Epilepsy, Jake Smiech

Yale School of Medicine Physician Associate Program Theses

Epilepsy affects about 70 million people worldwide, making it the world’s second most common neurological disease. The first line treatment for epilepsy are anti-seizure medications, but only two-thirds of patients respond to the first two medications given. We propose a randomized controlled study utilizing intermittent fasting as a therapeutic lifestyle modification as an adjuvant to standard drug therapy for those that experience drug-resistant epilepsy. We will assess the efficacy and safety of intermittent fasting for a period of six months, and statistically determine if there is a significant reduction in the mean frequency of seizures participants experience compared to a …

Cardiovascular Versus Resistance Training In Lgbtq+ Adolescents With Overweight Or Obesity, Cordelia Cluett

Yale School of Medicine Physician Associate Program Theses

Obesity prevalence in the U.S. is predicted to reach 50% by 2030, accompanied by negative health consequences. At-risk populations, including LGBTQ+ youth, are disproportionately afflicted by obesity. Exercise is known to help improve obesity and reduce associated comorbidities; however, the research community lacks consensus on the best type of exercise for reducing obesity parameters. We seek to determine whether aerobic training or resistance training results in a greater reduction of adiposity within an adolescent LGBTQ+ population. Our randomized control trial will compare mean change in waist circumference and body fat percentage after a yearlong resistance training intervention compared to an …

The Development And Testing Of An Instrument To Measure Perceptions Of Body Art Among Nurse Educators And Nursing Students, Deana M. Nunes

Dissertations

Increasing diversity in the nursing workforce is a national priority to better care for a diverse patient population and minimize healthcare disparities. Nurse educators teach students to practice with compassion and respect, recognizing the dignity, worth, individual choice, and unique attributes of all patients. Perceptions of nursing professionalism are heavily influenced by appearance. Many nursing programs restrict visible body art in their dress code policies based on long-held notions and negative stereotypes of individuals with body art. Shouldn't nursing students who choose to have body art receive the same respect and lack of judgment? A better understanding of nurse educators' …

Psychotherapy Utilization And Outcomes Of Military Veteran-College Students And Student-Rotc Members Compared To Similar Nonmilitary College Students, Jacob Michael Christian Goetz

Theses and Dissertations

This study examines current trends of university counseling center (UCC) utilization among Reserve Officer Training Corps (ROTC) students and student-military Veterans, compared to their nonmilitary-minded peers at a large, private, western university. Given likely differences in the lived experiences between these three populations, research is needed to provide insight on the treatment needs of military-minded students. We examine counseling center data for ROTC (n = 88), Veteran (n = 93), and nonmilitary-minded (n = 16,268) students who presented for counseling services from 2014-2021. A matched sample was obtained from the dataset for some of the analyses. The three groups are …

Antimicrobials Produced By Ants: Chemical Properties And Microbe Specificity, Katy Chon

Master's Theses

Antibiotic resistance is a growing public health concern worldwide, and for over a decade, we have been witnessing the growth of difficult to treat infectious diseases caused by bacteria that are becoming resistant to antibiotics. This resistance can be mostly related to the misusing and improper use of antibiotics in both humans and animals. To restore this problem, humans have turned to new sources for the production of antibiotics. In this study, we focused on using ants. Social insects, including ants and bees, have faced strong disease pressures during their evolution and have developed a range of methods to fight …

Shenisa Mohammed V. Attorney General United States Of America

2024 Decisions

Agency

(Arise) Achievements In Research, Inquiry And Scholarship Exhibition 2024, Office Of Undergraduate Research

(ARISE) Achievements in Research, Inquiry and Scholarship Exhibition

No abstract provided.

Jstae V43 Full Issue: The Anxious Now And The Next Big Thing, Jstae Editor

Journal of Social Theory in Art Education

No abstract provided.

A New Approach: Ordinal Predictive Maintenance With Ensemble Binary Decomposition (Opmeb), Ozlem Ece Yurek, Derya Birant

Turkish Journal of Electrical Engineering and Computer Sciences

Predictive maintenance (PdM), a fundamental element of modern industrial systems, employs machine learning to monitor equipment conditions, estimate failure probabilities, and optimize maintenance schedules. Its core objective is to enhance equipment reliability, extend lifespan, and minimize costs through data-driven insights by enabling efficient maintenance scheduling, reducing downtime, and optimizing resource allocation. In this paper, we propose a novel ordinal predictive maintenance with ensemble binary decomposition (OPMEB) method for the PdM domain, considering the hierarchical nature of class labels reflecting the machine's health status, including categories like healthy, low risk, moderate risk, and high risk. The proposed OPMEB method was validated …

Enrichment Of Turkish Question Answering Systems Using Knowledge Graphs, Okan Çi̇ftçi̇, Fati̇h Soygazi̇, Selma Teki̇r

Turkish Journal of Electrical Engineering and Computer Sciences

Recent capabilities of large language models (LLMs) have transformed many tasks in Natural Language Processing (NLP), including question answering. The state-of-the-art systems do an excellent job of responding in a relevant, persuasive way but cannot guarantee factuality. Knowledge graphs, representing facts as triplets, can be valuable for avoiding errors and inconsistencies with real-world facts. This work introduces a knowledge graph-based approach to Turkish question answering. The proposed approach aims to develop a methodology capable of drawing inferences from a knowledge graph to answer complex multihop questions. We construct the Beyazperde Movie Knowledge Graph (BPMovieKG) and the Turkish Movie Question Answering …

Ensemble Learning For Accurate Prediction Of Heart Sounds Using Gammatonegram Images, Sinam Ashinikumar Singh, Sinam Ajitkumar Singh, Aheibam Dinamani Singh

Turkish Journal of Electrical Engineering and Computer Sciences

The analysis of heart sound signals constitutes a pivotal domain in healthcare, with the prediction of imbalanced heart sounds offering critical diagnostic insights. However, the inherent diversity in cardiac sound patterns presents a substantial challenge in predicting imbalanced signals. Many scientific disciplines have focused a great deal of emphasis on the problem of class inequality. We introduce an ensemble learning approach employing a convolutional neural network model-based deep learning algorithm to effectively tackle the challenges associated with predicting imbalanced heart sound signals. We use a Gammatone filter bank to extract relevant features from the heard sound signal. Our approach leverages …

Detection And Classification Of Unauthorized Use Of Irrigation Motors In Agricultural Irrigation, Önder Ci̇velek, Sedat Görmüş, Hali̇l İbrahi̇m Okumuş, Orhan Gazi̇ Kederoglu

Turkish Journal of Electrical Engineering and Computer Sciences

The decarbonisation of electricity generation requires the real-time monitoring and control of grid components in order to efficiently and timely dispatch demand. This highly automated system, known as the Smart Grid, relies on smart or sensor-equipped distribution network components to optimise energy flow and minimise losses. However, energy theft, a major obstacle to efficient resource utilisation, poses a significant challenge to achieving this goal. This study proposes and evaluates a real-time telemetry and control system designed to mitigate energy theft in agricultural irrigation applications. The system increases energy efficiency by tracking the energy use in agricultural irrigation. The key challenge …

A New Dynamic Classifier Selection Method For Text Classification, İsmai̇l Terzi̇, Alper Kürşat Uysal

Turkish Journal of Electrical Engineering and Computer Sciences

The primary objective of employing multiple classifier systems (MCS) in pattern recognition is to enhance classification accuracy. Dynamic classifier selection (DCS) and dynamic ensemble selection (DES) are two purposeful forms of multiple classifier systems. While DES involves the selection of a classifier set followed by decision combination, DCS opts for the choice of a single competent classifier, eliminating the necessity for classifier combination. As a consequence, DCS methods exhibit superior efficiency in terms of processing time and memory usage compared to DES methods. Moreover, a substantial performance gap exists between the performance of Oracle and both DES and DCS methods. …

Re: Comment Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft Butte Treatment Lagoons Stress Test Pre-Design Investigation Work Plan (Dated June 17, 2024), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Healthcare Providers' Perceptions Of Infant Physical Activity And Communication, Priyanka Chaudhary, Kailey Snyder, Shari Deveney, Danae Dinkel

Health and Kinesiology Faculty Publications

Background

Healthcare providers (HPs) play a critical role in disseminating information about infant health and development. Two key developmental areas for infants are physical activity (PA) and communication. Few studies have examined HPs views of these topics. Thus, HPs may need support to promote these early development outcomes in infants. Thus, the study explored HPs' perceptions of infant PA and communication.

Methods

A total of 13 HPs with a wide variety of backgrounds were recruited. Zoom semi-structured interviews were based on the Health Belief Model. Deductive content analysis was utilized to analyze data.

Results

HPs knew little about PA guidelines. …

“I Had Time To Do My Research, Had Time To Think And Educate Myself”: Using Information Work For Nonbinary And Genderfluid Identity Self-Recognition During Covid-19 Isolation, Amy L. Stone, Alexandra Gallin-Parisi

Sociology & Anthropology Faculty Research

During the COVID-19 pandemic, nonbinary and genderfluid adults did information work to discover their gender identities as they explored information on social media, online, and in person. Due to cisnormative restrictions, this information was necessary to identify and validate their gender identity as authentic. During the pandemic, more nonbinary people were able to self-recognize their own gender because there was more time for reflection and more access to nonbinary narratives online, including representations of nonbinary life that defied White, thin, androgynous ideals. By analyzing interviews with 22 U.S. adults who came out as nonbinary during the pandemic, this qualitative study …

Global Burden Of Five Major Types Of Gastrointestinal Cancer, Arjun Singh

Division of Gastroenterology and Hepatology Faculty Papers

Gastrointestinal (GI) cancers cause major global morbidity and mortality, with over 5 million new cases and 3.5 million deaths in 2020. The most prevalent GI malignancies are colorectal, gastric, liver, oesophageal, and pancreatic cancers. Marked geographic variations exist, with high incidence in developed regions contrasting with high mortality in developing areas. These patterns reflect disparities in risk factors and cancer control capacities. However, GI cancer incidence is rising with economic growth and lifestyle changes. Poor prognosis and increasing burden underscore the critical need for expanded prevention and research. This review examines global epidemiology, risks, prevention, detection, treatment, and priorities for …

Ventral Hippocampus Mediates Inter-Trial Responding In Signaled Active Avoidance, Cecily R. Oleksiak, Samantha L. Plas, Denise Carriaga, Krithika Vasudevan, Stephen Maren, Justin M. Moscarello

Psychological Science Faculty Publications

The hippocampus has a central role in regulating contextual processes in memory. We have shown that pharmacological inactivation of ventral hippocampus (VH) attenuates the context-dependence of signaled active avoidance (SAA) in rats. Here, we explore whether the VH mediates intertrial responses (ITRs), which are putative unreinforced avoidance responses that occur between trials. First, we examined whether VH inactivation would affect ITRs. Male rats underwent SAA training and subsequently received intra-VH infusions of saline or muscimol before retrieval tests in the training context. Rats that received muscimol performed significantly fewer ITRs, but equivalent avoidance responses, compared to controls. Next, we asked …

A Quantitative Analysis On The Sentencing Disparity In Online Romance Scam Cases In United States: A Focal Concern Theory Perspective, Fangzhou Wang

SAGE Open Access Agreement Publications-Archive

An online romance scam occurs when a criminal creates a fake online identity to manipulate a victim into developing affection and trust before financially exploiting them. It has resulted in billions of dollars in losses globally, impacting victims financially emotionally. Based on focal concern theory, this study is the first to examine the fairness of sentencing for this group of scammers in the United States. The study quantitatively analyzes 148 sentencing cases, which is the current most comprehensive dataset available, obtained from Pacer Monitor. The findings indicate that sentencing outcomes for scammers in the United States are primarily influenced by …

A Real-Time Embedded System Designed For Nilm Studies With A Novel Competitive Decision Process Algorithm, Sai̇d Mahmut Çinar, Rasi̇m Doğan, Emre Akarslan

Turkish Journal of Electrical Engineering and Computer Sciences

This paper explores the determination of any load or load combination in a power system at any moment. This process requires measurements at the main electric utility service entry of a house, known as nonintrusive measurement. To accurately identify loads, total harmonic distortion, RMS, third harmonic currents, and power consumption are considered their fingerprints. Based on these fingerprints, an algorithm called the competitive decision process is developed and integrated into an embedded system. This algorithm has a two-level decision mechanism. In the first stage, the winner loads with the highest similarity scores from each feature are determined, and the loads …

Multi-Label Voice Disorder Classification Using Raw Waveforms, Gökay Di̇şken

Turkish Journal of Electrical Engineering and Computer Sciences

Automated voice disorder systems that distinguish pathological voices from healthy ones have been developed with the aid of machine learning methods. Both clinicians and patients can benefit from these systems as they provide many advantages, compared to the invasive techniques. These systems can produce binary (healthy/pathological) or multi-class (healthy/selected pathologies) decisions. However, multiple disorders might exist in an individual’s voice. Multi-label classification should be considered in such cases. By this time, only a single report is available on this topic, where hand-crafted features were used, and a data augmentation technique was utilized to overcome class imbalances. In this study, a …

The Efficacy Of An Integrated Visual-Vestibular Rehabilitation Model In Concussion Patients Suffering From Prolonged Vestibulo-Ocular Dysfunction, Megan Hammer, Mark Cipolle Md, David Clark, Eden Hunt Md, Daniele Shollenberger Crnp

Research Scholars

No abstract provided.

Epic Education: The Value Of Utilizing Outpatient Billable Notes And The Creation Of Efficient Training, Maggie Cygan, Kerri Green Edd, Katerina C. Valavanis Md, Anne Vanderpool Mba

Research Scholars

No abstract provided.

Exposure To Light At Night And Risk Of Cancer: A Systematic Review, Meta-Analysis, And Data Synthesis, Aaron P Thrift

Faculty, Staff and Students Publications

BACKGROUND: Emerging interest surrounds the role of environmental factors, notably exposure to light at night (LAN), as a potential cause of cancer. The aim of this study was to conduct a systematic review and, if possible, meta-analysis of observational studies on LAN and cancer risk of multiple types.

METHODS: A systematic literature search in PubMed, Web of Science, and Embase, spanning from inception to May 2023, was conducted. Studies focusing on the association between LAN exposure and cancer risk in adult populations were included. We used random effects models to calculate pooled risk estimates (RR) and 95% confidence intervals (CI). …

Exposure To Light At Night And Risk Of Cancer: A Systematic Review, Meta-Analysis, And Data Synthesis, Samuel Ma, Yossef Alsabawi, Hashem B. El-Serag, Aaron P. Thrift

School of Medicine Publications

Simple Summary

Cancer is the second leading cause of death globally, and the causes of cancer are numerous and multifactorial, including genetic and environmental factors. There is a developing interest in the role of sleep and light at night (LAN) exposure in cancer development. The aim of our study is to further understand the relationship between LAN exposure and the risk of cancer by systematically reviewing existing literature assessing LAN exposure and the risk of various cancer types. We found a positive association between LAN exposure and breast cancer risk, but there was insufficient data to convincingly draw a conclusion …

Adding A Teacher Dashboard To A Functioning Web App, Melanie Jensen

Instructional Psychology and Technology Graduate Student Projects

A teacher dashboard was added to an existing web-based application that teaches math-fact fluency. The author describes the process of analysis, design, development, and implementation. Challenges faced at each stage are described, and design decisions are discussed.

Long Distance Relationships: Connections Supporting Rural Science Teachers, Tracy Marie Poulsen

Theses and Dissertations

Research regarding the social professional networks among rural educators is sparse but indicates that rural educators have few supportive connections with other educators. Programs designed to increase the social networks of rural educators use characteristics of similarities in school assignments and geographic distances to place educators into groups for professional development and support, but rarely use technology extensively as a tool to overcome barriers of time, distance, and cost. In one intervention designed in part to increase the professional connections between rural science teachers, Technology Mediated Lesson Study (TMLS) was implemented in a group of rural science teachers. The before …

An Applied Mental Health Course And Student Well-Being, Alison Nicole Anglen

Theses and Dissertations

Addressing mental health concerns and promoting well-being is imperative for university students to function optimally and to succeed academically. The demand for mental health care is exceeding the capacity of traditional counseling center resources at universities, suggesting the need for innovative interventions that can serve a broader scope of students. There is emerging evidence suggesting that mental health can be addressed, and well-being improved through psychoeducation and applied skills taught in classroom settings. Objectives: To examine a Mental Health and Well-Being course at a large, private religious university and its relationship to students’ well-being. This will be measured by assessing …

Network Intrusion Detection Based On Machine Learning Strategies: Performance Comparisons On Imbalanced Wired, Wireless, And Software-Defined Networking (Sdn) Network Traffics, Hi̇lal Hacilar, Zafer Aydin, Vehbi̇ Çağri Güngör

Turkish Journal of Electrical Engineering and Computer Sciences

The rapid growth of computer networks emphasizes the urgency of addressing security issues. Organizations rely on network intrusion detection systems (NIDSs) to protect sensitive data from unauthorized access and theft. These systems analyze network traffic to detect suspicious activities, such as attempted breaches or cyberattacks. However, existing studies lack a thorough assessment of class imbalances and classification performance for different types of network intrusions: wired, wireless, and software-defined networking (SDN). This research aims to fill this gap by examining these networks’ imbalances, feature selection, and binary classification to enhance intrusion detection system efficiency. Various techniques such as SMOTE, ROS, ADASYN, …