Digital Commons Network^™

Automating Unsupervised Security Guardrail Creation For Large Language Models, Ritvik Shrivastava

Defensive Publications Series

Guardrails are a set of limitations, guidelines, and operational protocols designed to govern the behavior and outputs of Large Language Models (LLMs). Current guardrail creation methods often face limitations such as lack of transparency, overly restrictive rules, and difficulty keeping pace with the evolving threat landscape. To overcome these limitations, techniques are proposed herein that provide automation for the generation of guardrails, or safeguarding rules, for LLMs using Reinforcement Learning (RL).

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, …

Transesophageal Echocardiography During Prehospital Cardiopulmonary Resuscitation, Carlie Dominguez

Yale School of Medicine Physician Associate Program Theses

Cardiac arrest is a sudden, life-threatening emergency that demands rapid and effective intervention. Ultrasound is used during cardiac arrest to guide resuscitation, characterize cardiac rhythm, and possibly identify cardiac arrest etiology. However, it is associated with significant limitations. Transesophageal echocardiography is a type of ultrasound that overcomes the limitations associated with traditional ultrasound and provides unique advantages, including the ability to optimize chest compressions and provide continuous cardiac imaging throughout CPR. The aim of this study is to investigate whether the use of transesophageal echocardiography during prehospital resuscitation of adults experiencing nontraumatic out-of-hospital cardiac arrest improves the proportion of sustained …

Alpha Angle And Anterior Femoral Neck Offset Identify Different Cohorts Of Cam Morphology: An Osteologic Study, Grigory A. Manyak

Faculty Scholarship

Purpose: To explore differences in cam morphology defined by alpha angle (AA) and anterior femoral neck offset (AFNO) in the context of other anthropometric parameters in an osteologic collection to further elucidate whether each measurement tool is identifying the same underlying pathology. Methods: Anthropometric measurements of 992 cadaveric hips from the Hamann-Todd Osteological Collection were analyzed. Femurs with cam morphology were identified by AA >55° or AFNO <7 mm. Anthropometric parameters stratified by cam morphology were assessed with Wilcoxon rank-sum and Pearson χ2 tests. Multivariate logistic regressions were performed on significant variables in univariate analysis to examine the predictive ability of anthropometric variables to cam morphology. Results: Cam morphology was identified in 242 hips via AA, 344 hips via AFNO, and 123 hips via both measures. Multivariate logarithmic regression analysis demonstrated that sex negatively predicted AA (females with less pathology, β = –0.14, P = .04), race negatively predicted AA (Blacks with less pathology, β = –0.21, P < .01), and proximal femoral osteoarthritis was positively associated with AA (β = 0.16, P = .02), while none of these were associated with AFNO. On the other hand, right-side specimens were associated with AA (β = 0.15, P = .02) and AFNO (β = 0.25, P < .01), whereas the combined version was unassociated with both measures. Conclusions: In conclusion, cam morphology was identified in a modest percentage of osteologic specimens by both AA and AFNO in our study. Further, associations of multiple demographic, anthropometric, and anatomical parameters to AA and AFNO suggest they may identify different subsets of cam morphology. Clinical Relevance: Cam morphology identified by AA versus AFNO may represent 2 different pathologic entities. Future studies should assess differences between these measures in a clinical cohort and determine whether these 2 definitions of cam morphology identify different clinical populations.

Revision Of Trachyderines Related To Sphaenothecus From North America With Description Of Three New Genera, And New Species Of Lophalia Casey, 1912, Mannophorus Leconte, 1854, And Ischnocnemis Thomson, 1864 (Coleoptera: Cerambycidae: Cerambycinae: Trachyderini), Bryan K. Eya

Insecta Mundi

The genera Lophalia Casey, 1912, Mannophorus LeConte, 1854 and Ischnocnemis Thomas, 1864 (Coleoptera: Cerambycidae: Cerambycinae: Trachyderini) are recharacterized by providing additional morphological features to enhance the delineation of these genera. Two species, Lophalia cribricollis Bates, 1892 and Ischnocnemis luteicollis (Bates, 1885), are transferred to a new genus Lophaliamorpha Eya with Lophaliamorpha luteicollis (Bates) new combination as the type species. Ischnocnemis skillmani Chemsak and Hovore, 2010 is transferred to a new genus Paramannophorus Eya with Paramannophorus skillmani (Chemsak and Hovore) new combination as the type species. A new genus Microteroschema is created to accommodate two additional species from Mexico: Microteroschema parvum …

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 …

Shenisa Mohammed V. Attorney General United States Of America

2024 Decisions

Agency

Christopher Williams V. Brian Stack

2024 Decisions

USDC for the District of New Jersey

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

(ARISE) Achievements in Research, Inquiry and Scholarship Exhibition

No abstract provided.

Effects Of Educational Leadership Behaviors And Additional Factors On Teacher Morale, Brittany S. Samaniego

Theses and Dissertations

This quantitative study investigated the impact of leadership behaviors and additional factors on teacher morale across seven schools from three Arkansas school districts. The study utilized the Leadership Practices Inventory (LPI) and Purdue Teacher Opinionaire (PTO) as measurement tools to explore various leadership practices and factors that contributed to or hindered teacher morale. Among the leadership practices assessed by the LPI, Enable Others to Act emerged as the majority of positively influential across the four elementary and middle schools, while Model the Way was favored among the three high schools. These practices underscored their potential to empower teachers and revealed …

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 …

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. …

Analysis Of Key Audit Matters Disclosures In Financial Reporting: The First Evidence From Indonesia, Gamal Batara, Jalaluddin Jalaluddin, M. Rizal Yahya

Journal of Accounting Auditing and Business

The aim of this study is to explore the first year of Key Audit Matters (KAMs) disclosure in Indonesia, which has been fully adopted since 2022. The research reports on matters published in 806 statutory audit reports of listed companies in 2022. This study provides the first description of KAMs disclosure by Indonesian public companies. The findings suggest that the most common KAM disclosures are related to "allowance for doubtful debt," "revenue (excluding fraud)," "valuation of inventories," "fixed assets (including depreciation)," and "property valuation." The study found differences between Big-4 auditors and non-Big-4 auditors concerning the average number of KAMs …

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 …

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.

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.

In Silico Analysis Of The Rop29 Protein As A Vaccine Candidate Against Toxoplasma Gondii, Amir Karimipour-Saryazdi, Fatemeh Ghaffarifar, Abdolhossein Dalimi, Masoud Foroutan, John Horton, Javid Sadraei

Faculty, Staff and Student Publications

The progression of Toxoplasma gondii (T. gondii) invasion is aided by rhoptry proteins (ROPs), which are also crucial for the parasite's survival in host cells. In this study, in silico analysis was performed to examine the various aspects of the ROP29 protein, such as physicochemical properties, potential T- and B-cell epitopes, and other significant features. The research revealed that there were 55 possible sites for posttranslational modification in the ROP29 protein. The secondary structure of the ROP29 protein consists of a random coil, an alpha-helix, and an extended strand, which account for 49.69%, 36.81%, and 13.50%, respectively. Moreover, …

Detection Of Diffusely Abnormal White Matter In Multiple Sclerosis On Multiparametric Brain Mri Using Semi-Supervised Deep Learning, Benjamin C Musall, Refaat E Gabr, Yanyu Yang, Arash Kamali, John A Lincoln, Michael A Jacobs, Vi Ly, Xi Luo, Jerry S Wolinsky, Ponnada A Narayana, Khader M Hasan

Faculty, Staff and Student Publications

In addition to focal lesions, diffusely abnormal white matter (DAWM) is seen on brain MRI of multiple sclerosis (MS) patients and may represent early or distinct disease processes. The role of MRI-observed DAWM is understudied due to a lack of automated assessment methods. Supervised deep learning (DL) methods are highly capable in this domain, but require large sets of labeled data. To overcome this challenge, a DL-based network (DAWM-Net) was trained using semi-supervised learning on a limited set of labeled data for segmentation of DAWM, focal lesions, and normal-appearing brain tissues on multiparametric MRI. DAWM-Net segmentation performance was compared to …

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, …

26th Annual Open Government Summit: Your Guide To The Access To Public Records Act & Open Meetings Act, Peter F. Neronha, Roger Williams University School Of Law

School of Law Conferences, Lectures & Events

No abstract provided.

Office Of Attorney General: Peter F. Neronha, Attorney General: Access To Public Records Act ; Open Meetings Act (Powerpoint Presentation), Office Of The Attorney General Of Rhode Island, Roger Williams University School Of Law

School of Law Conferences, Lectures & Events

No abstract provided.

Prevention Of Pressure Injuries Caused By Endotracheal Tube (Ett) Securement Devices, Grace M. Hercik, Kenneth Miller Med, Rrt-Nps, Daniel R Ofak Mha, Rrt-Nps

Research Scholars

No abstract provided.

The Highest Suggestion In The Land: Obiter Dicta And The Modern Supreme Court Of Canada, Amitpal C. Singh

Osgoode Hall Law Journal

The Supreme Court of Canada is unlike any court of appeal in Canada. Many decades ago, the Court shed the traditional mould of an error-correcting appellate court. The modern Court is a “jurisprudential overseer” and its appeals are occasions for legal innovation. This essay explores whether the distinction between non-binding obiter dicta and binding ratio decidendi has any continued significance for the Court. In this essay, I argue that the modern orthodoxy about the Court’s institutional role obliterates any such distinction. This conclusion runs contrary to the Court’s own jurisprudence on this topic, which attempts to preserve the distinction by …

Spanish Fork City Plaintiff/ Appellee V. Christian Jackson Defendant Appellant : Reply Brief, Utah Court Of Appeals

Utah Court of Appeals Briefs (2020 –)

ANA BURGIS, TANNER PREECE, Counsel for Appellee

NATHAN E. BURDSAL, HUTCH U. FALE, Counsel for Appellant

Through The Digital Lens: Examining Beliefs About Online Child Sexual Abuse, Kendhyl Delacour

Student Theses

Child sexual abuse (CSA) is a global societal problem. Advances in technology and widespread Internet access have shifted much of the focus and prevention policies toward online CSA (OCSA). Initially, internet crimes against children were seen as “stranger danger” offenses, where the perpetrator was unknown to the victim. However, recent studies show that online sex offenses are mostly committed by individuals known to the victim. While existing literature has explored how the “stranger danger myth” shapes public perceptions about in-person offenders, little is known about public beliefs regarding OCSA within the context of the stranger danger myth. This study aimed …

The Design And Impact Of Interactive Online Modules For Dental Faculty Calibration, Meixun Zheng, Debra Woo, Kim Benton

Pacific Faculty Work

The diverse backgrounds of health professions faculty often result in inconsistent teaching, clinical techniques, and feedback for students. Faculty calibration is essential for uniform, high-quality instruction. However, scheduling training sessions is challenging due to faculty availability. This study introduces a self-paced, interactive online approach to dental faculty calibration. Four self-paced online modules were developed using an interactive cloud-based platform. A variety of learning activities were interspersed throughout the module to promote active learning. A survey captured faculty’s perception of the online format. ANOVA analyses examined differences in perceived effectiveness of the online format between full-time, part-time, and adjunct faculty. The …

Impact Of Covid-19 On Dental Students’ Mental Health Status And Perception Of Sars-Cov-2 Vaccine, Man Hung, Nicole Hablitzel, Sharon Su, Samantha Melnitsky, Amir Mohajeri

Pacific Faculty Work

The COVID-19 pandemic disrupted dental education significantly, forcing adaptations in both didactic and clinical curricula. This study evaluates the impact of COVID-19 on dental students’ mental health and perceptions of the SARS-CoV-2 vaccine. An anonymous online survey was administered to dental students at Roseman University of Health Sciences, focusing on health experiences and vaccination perceptions. Results showed 56.8% of students were concerned about their emotional health, 82.1% felt stressed, and 60.6% felt depressed. About 81.9% received the vaccine, with 75.5% believing it effective, though only 55.3% supported mandatory vaccination. The pandemic negatively impacted students’ emotional health, indicating a need for …