Digital Commons Network^™

Glossary-Augmented Generative Ai For Enterprise Translation, Tanmay Kayande, Deep Raithatha, Akash Dambhare, Pooja Agrawal, Mohith P

Defensive Publications Series

Global enterprise operations can experience inefficiencies and service delays from language-siloed support queues, while generic machine translation tools may lack the context to handle enterprise-specific terminology. A system and method can facilitate multilingual communication by integrating a generative artificial intelligence model within enterprise workflow platforms, such as customer relationship management systems. The framework can programmatically retrieve a curated, enterprise-specific glossary and inject it into a translation prompt sent to the model. This technique grounds the model, instructing it to prioritize an organization's specific lexicon for a given translation. The approach can produce translations that are both linguistically fluent and terminologically …

3d Reconstruction Of Spatial Transcriptomics With Spatial Pattern Enhanced Graph Convolutional Neural Network, Chen Tang, Yuansheng Zhou, Xue Xiao, Lei Dong, Lei Yu, Qiwei Li, Guanghua Xiao, Lin Xu

Faculty, Staff and Student Publications

Spatially resolved transcriptomics (SRT) is a promising new technology that enables simultaneous analysis of gene expression and spatial information for biomedical research. However, the existing statistical and deep learning algorithms used for analyzing SRT data rely solely on two-dimensional (2D) spatial coordinates, which limits their ability to accurately identify spatial domains, spatially variable genes (SVGs), cell-to-cell communications, and developmental trajectories in a three-dimensional (3D) spatial manner. To address these limitations, we introduced Spa3D, which utilized the anti-leakage Fourier transform and graph convolutional neural network model to reconstruct 3D-based spatial structures from multiple 2D SRT slices. We demonstrate that Spa3D is …

Understanding Recruitment To A Randomised Controlled Trial (Rct) During Liver Transplantation: An Observational Mixed-Methods Study Within A Trial (Swat), Katherine Elizabeth Sarah Coppack, Ilya Kantsedikas, Edgar Brodkin, Ee Neng Loh, Gareth Ambler, Suneetha Ramani Moonesinghe, Jeremy Fabes, Vivienne Hannon, Michael Spiro, Duncan Wagstaff

Peninsula Medical School

Objectives Perioperative randomised controlled trials (RCTs) in liver transplantation are relatively infrequent. RCTs performed in this complex patient population need to be robustly conducted to maximise patient benefit and graft utility given the scarcity of donor organs. Recruitment challenges can compromise RCTs and studies in this population face unique challenges due to recipient illness severity, their comorbidities, demographics and the geographical constraints of specialist transplant centres. Emergency presentation and after-hours admission may further limit patients’ capacity or readiness to consider trial participation. This Study Within a Trial (SWAT) specifically explored motivators and barriers to recruitment in patients awaiting liver transplantation.Design …

Single‐Use Versus Multiple‐Use Endotracheal Suction Catheters In Mechanically Ventilated Patients: A Feasibility Randomised Controlled Trial, Mohamed H. Eid, Kevin Hambridge, Patricia Schofield, Jos M. Latour

School of Nursing and Midwifery

BackgroundIn resource-limited settings, single-use open endotracheal suction catheters are commonly used multiple times. The current evidence of this practice on ventilator-associated pneumonia (VAP) among mechanically ventilated patients remains unclear.AimThe aim of this study was to test the feasibility of single-use and multiple-use endotracheal suction catheters flushed with chlorhexidine versus standard care (multiple-use endotracheal suction catheters flushed with normal saline) to reduce VAP in resource-limited intensive care units (ICUs) and evaluate study methods for designing a future definitive randomised controlled trial (RCT).Study DesignA three-armed feasibility RCT was conducted in three ICUs at a university hospital in Egypt.ResultsSixty mechanically ventilated patients were …

Multi-Agent System For Cognitive Work Automation Using An Adversarial Review Panel, Tanmay Kayande, Laura Hartney

Defensive Publications Series

This disclosure describes systems and methods for a multi-agent framework that can automate and scale cognitive work. The framework can, for example, use a cognitive assembly line of specialized computational agents to perform tasks such as research and drafting. A beneficial component could be an adversarial review panel (ARP), which is a multi-agent review system where distinct agent personas critique a generated draft from varied perspectives. The structured feedback from the ARP can be used to automatically iterate on and refine the work product. This approach can improve the intellectual rigor of generated content and reduce the time required for …

Centralized Qr Trust Repository (Cqtr) With Merchant Name Uniqueness For Fraud Prevention In Qr Code Payments, Alok Roy Mr

Defensive Publications Series

The disclosed systems and methods use a Centralized QR Trust Repository (CQTR) for securing and streamlining merchant onboarding and transaction validation, and to address critical challenges in QR-based payments such as cross-acquirer fraud and counterfeit QR codes system performs transaction validation. At the time of onboarding, merchant details such as merchant or business name, account information, and KYC are collected by client servers and CQTR conducts uniqueness validation to ensure name uniqueness across all acquirers. CQTR performs similarity checks, including fuzzy matching and phonetic analysis and prevents duplicate registrations. After successful validation, CQTR generates and registers unique QR codes static …

Ai-Driven Application Intent For Seamless End-To-End Guaranteed Quality Of Service Packet Forwarding, Jaganbabu Rajamanickam, Madhan Sankaranarayanan, Paul Jensen, Sumant Mali, Krishna Deevi

Defensive Publications Series

A next-generation approach to network Quality of Service (QoS) is proposed herein that enables direct, in-band communication of application intent using an innovative extension header, such as an Internet Protocol version 6 (IPv6) extension header. Using the proposed innovation, applications can embed concise, high-level QoS requirement strings or "intents" (e.g., 'ultra-low latency', 'AI/ML Training', etc.) into packet headers, allowing ingress edge devices to interpret these intents using a local policy database. Advanced matching engines, potentially leveraging machine learning, can enable flexible and semantically rich interpretation of these requirements/intents, surpassing traditional rigid classifications.

Harnessing Microbial Tools: Escherichia Coli As A Vehicle For Neuropeptide Functional Analysis In Caenorhabditis Elegans, Elizabeth M Diloreto, Shruti Shastry, Emily J Leptich, Douglas K Reilly, Rachel N Arey, Jagan Srinivasan

Faculty, Staff and Students Publications

Animals respond to changes in their environment and internal states via neuromodulation. Neuropeptides modulate neural circuits with flexibility because 1 gene can produce either multiple copies of the same neuropeptide or different neuropeptides. However, with this architectural complexity, the function of discrete and active neuropeptides is muddled. Here, we design a genetic tool that facilitates functional analysis of individual peptides. We engineered Escherichia coli bacteria to express active peptides, fed loss-of-function Caenorhabditis elegans, and rescued the activity of genes with varying lengths and functions: pdf-1, flp-3, ins-6, and ins-22. Some peptides were functionally redundant, while others exhibit unique and previously …

Spatially Resolved Integrative Analysis Of Transcriptomic And Metabolomic Changes In Tissue Injury Studies, Eleanor C Williams, Lovisa Franzén, Martina Olsson Lindvall, Gregory Hamm, Steven Oag, Muntasir Mamun Majumder, James Denholm, Azam Hamidinekoo, Javier Escudero Morlanes, Marco Vicari, Joakim Lundeberg, Laura Setyo, Trevor M Godfrey, Livia S Eberlin, Aleksandr Zakirov, Jorrit J Hornberg, Marianna Stamou, Patrik L Ståhl, Anna Ollerstam, Jennifer Y Tan, Irina Mohorianu

Faculty, Staff and Students Publications

Recent developments in spatially resolved -omics have enabled the joint study of gene expression, metabolite levels and tissue morphology, offering greater insights into biological pathways. Integrating these modalities from matched tissue sections to probe spatially-coordinated processes, however, remains challenging. Here we introduce MAGPIE, a framework for co-registering spatially resolved transcriptomics, metabolomics, and tissue morphology from the same or consecutive sections. We show MAGPIE's generalisability and scalability on spatial multi-omics data from multiple tissues, combining Visium with MALDI and DESI mass spectrometry imaging. MAGPIE was also applied to new multi-modal datasets generated with a specialised sampling strategy to characterise the metabolic …

Pathways, Outputs And Impact Of Nih-Supported Bioinformatics And Genomics Graduate Trainees In Africa, Daudi Jjingo, Andrew Walakira, Suhaila Hashim, Cisse Cheickna, Ronald Galiwango, Caleb Kibet, Florence N Kivunike, Gerald Mboowa, Fredrick Elishama Kakembo, Babajide Ayodele, Jean-Baka Domelevo Entfellner, Santie De Villiers, Karen Wambui, Segun Fatumo, Tinashe Chikowore, John Mukisa, Alfred Ssekagiri, Nicholas Bbosa, Julius Mulindwa, Samuel Kyobe, Mike Nsubuga, Grace Kebirungi, Eric Katagirya, Savannah Mwesigwa, Ibra Lujumba, Rogers Kamulegeya, Samuel Kirimunda, Stephen Kanyerezi, Shahiid Kiyaga, Ivan Sserwadda, Davis Kiberu, Bernard S Bagaya, Julius Okwir, Patricia Nabisubi, Grace Nabakooza, Mugume Twinamatsiko Atwine, Ricard Sserunjogi, Rolanda Julius, Mariam Quiñones, Meghan Mccarthy, Phillip Cruz, Karlynn Noble, Christopher J Whalen, Darrell Hurt, Maria Y Giovanni, Michael Tartakovsky, Deogratius Ssemwanga, John M Kitayimbwa, Steven J Reynolds, Christopher C Whalen, Andrew Kambugu, Neil A Hanchard, Li Jian, Peter Amoako-Yirenkyi, Graeme Mardon, I King Jordan, Samson Pandam Salifu, Mamadou Wele, Ezekiel Adebiyi, Jeffrey G Shaffer, Seydou Doumbia, David Patrick Kateete, Michelle Skelton, Nicola Mulder, Jonathan K Kayondo, Daniel Masiga, H3africa Consortium

Faculty, Staff and Students Publications

Global biomedical and health research is increasingly relying on genomic and computational approaches, largely driven by the increasing volumes of nucleic acid sequencing. Concurrently, epidemiological studies and clinical records are generating enormous amounts of data amenable to disease modeling, machine learning, and artificial intelligence techniques. Bioinformatics and data science expertise is therefore essential for improved population health. Accordingly, in 2012, the US National Institutes of Health (NIH) in partnership with the Wellcome Trust, and with support from the African Society for Human Genetics, initiated the H3Africa (Human Heredity and Health in Africa) consortium. One of its key goals was to …

Evaluating Impact Of Occupational Exoskeletons On Physical Fatigue Using Wearable Sensors And Deep Learning, Hardik Vora, Fatemeh Davoudi Kakhki, Armin Moghadam

Faculty Research, Scholarly, and Creative Activity

Musculoskeletal disorders remain a leading source of occupational injury in manufacturing and logistics industries, often resulting from repetitive lifting and load transfer tasks. While back-support exoskeletons have shown promise in alleviating physical strain, their biomechanical impact under realistic task conditions and their integration with intelligent monitoring systems require further exploration. This study investigates the efficacy of a passive lumbar-support exoskeleton in reducing muscle fatigue during manual material handling tasks by combining high-resolution surface electromyography (sEMG) data with a deep learning-based classification framework. Ten participants performed lifting and rotational (twisting) tasks with and without exoskeleton assistance, while EMG signals were collected …

Assessing The Effects Of Ehealth Literacy And The Area Deprivation Index On Barriers To Electronic Patient Portal Use For Orthopedic Surgery: Cross-Sectional Observational Study, Audrey Lynn Litvak, Nicholas Lin, Kelly Hynes, Jason Strelzow, Jeffrey G Stepan

2020-Current year OA Pubs

BACKGROUND: As electronic patient portals (EPPs) continue to gain popularity and systems transition to online tools for scheduling, communication, and telehealth, patients without access or skills to use these tools may be overlooked.

OBJECTIVE: This study analyzed patient and neighborhood-level factors, including eHealth literacy level and the Area Deprivation Index (ADI), that may limit EPP access for orthopedic surgery.

METHODS: A cross-sectional, survey-based study was performed at a single urban tertiary academic medical center in the United States across foot and ankle, hand and upper extremity, and orthopedic trauma subspecialty clinics from June 21, 2022, to August 12, 2022. Survey …

Appropriate Wireless Technology For Blue Data Communication To Enhance Artisanal Fishery, Abdi T. Abdalla, Eva Shayo, Angelina Misso, Baraka Maiseli, Kwame S. Ibwe, Narriman Jiddawi, Moses Ismail

Tanzania Journal of Science

The paper examines the development of a system architecture to support smart fishing. This includes the establishment of a blue data center, which would allow government agencies and research institutions to access fisheries data. The goal is to provide policymakers with the tools they need to efficiently manage artisanal fisheries resources. The architecture also incorporates wireless communication components that are suitable for small-scale fishers in remote areas. The study delves into the selection of appropriate wireless communication technology for transmitting fishing data to the communication center. Factors such as coverage range, data rates, and cost implications are taken into consideration. …

Qualitative And Numerical Observations Into The Career Trajectories Of Early Career Academics: A Mathematical Model Approach, Oluwatayo M. Ogunmiloro

Tanzania Journal of Science

This study develops and analyzes a mathematical model that describes the interplay among different researcher groups within academia by focusing on how variables such as mentorship, access to funding, and academic peer influence affect the career trajectories of early-career, experienced, redundant, and successful researchers. Using stability theory and relevant theorems of differential equations, this study ensures the existence, uniqueness, positivity, and boundedness of the model's solutions. Additionally, the model’s equilibrium states, are analyzed to determine the local asymptotic stability. Numerical simulations using the Runge-Kutta fourth-order (RK4) method, implemented in Python, are performed to illustrate issues related to career growth within …

Examining The Impact Of Racial Microaggressions And Psychological Distress In Latine Individuals: A Focus On Ptsd, Anxiety, Depression, And Stress, Melanie Garcia, Yajairy Cabrales, Miguel A. Castano, Richard Chang, Gloria Wong-Padoongpatt

Spectra Undergraduate Research Journal

Latine individuals in the United States face distinct mental health challenges due to unique stressors, including systemic racism and discrimination. While research has established that racial microaggressions—such as daily slights, insults, and invalidations—negatively impact the psychological well-being of people of color, there remains limited scholarship specifically focused on Latine communities. This study examines different types of racial microaggressions—such as invisibility, criminality, and sexualization—as predictors of psychological distress among Latine individuals. A sample of 434 Latine participants completed measures assessing their experiences with racial microaggressions, as well as symptoms of depression, anxiety, stress, and trauma. Four multiple linear regression models were …

Workplace Video Surveillance: A Comparative Law Perspective, Imane Hilani

Revue Marocaine de Droit, d'Economie et de Gestion (Moroccan Journal of Law, Economics and Management)

Workplace video surveillance has become widespread, raising major issues at the intersection of the employer’s power of control and employees’ fundamental rights. This article examines the legal framework governing the use of CCTV at work, with particular attention to personal privacy and the protection of personal data. It discusses the conditions of lawful monitoring (information, proportionality, purpose limitation, security and retention), as well as employees’ rights and the evidentiary value of recordings, through a Moroccan and comparative perspective supported by legislation and case law.

The Roberts Court And The District Court, Elodie O. Currier Stoffel

University of Memphis Law Review

The 2022 and 2023 Supreme Court terms were “blockbusters.”1 From the rousing dissents in Trump v. United States2 to the death knell of Chevron deference3 and the intense debates over the role of history in judicial decision-making encapsulated in Vidal v. Elster,4 the past several terms have provided both significant insight into decisionmaking processes at the Court and substantial change to previously settled law. Its impacts are already the subject of a slew of writing, both in legal journals and the popular press.5 Largely missing from the conversation is discussion of the high Court’s impacts on district courts. While academics …

Review Of The Mental Mechanism Of Dr. Sivartha, Mitchell K. Jones

Communal Societies

No abstract provided.

Review Of Navigating Tradition And Innovation: Essays Commemorating The Permanent Settlement Of Hutterites In Manitoba, John Lehr

Communal Societies

No abstract provided.

Kiantone Harmonia: John Murray Spear’S Enchanted Electric Utopia, 1844-1863, Mitchell K. Jones

Communal Societies

No abstract provided.

Counting The Cost: Shaker Celibacy, Mary Ann Haagen

Communal Societies

No abstract provided.

Front Matter

Communal Societies

No abstract provided.

The Outlaws Of Kalalau, The Aloha Spirit, And Threats To The Commune, Jeffrey S. Rasley

Communal Societies

No abstract provided.

The Concept Of Individualism In American Historical Communities, Mark Kruger

Communal Societies

No abstract provided.

Validation In The Shaker Era Of Manifestations: A Process Analysis, Glendyne Wergland

Communal Societies

No abstract provided.

Covid-19 Infection And Hypertension In Correlation With Race, Elizabeth Durkin

The Pegasus Review: UCF Undergraduate Research Journal

Healthcare disparities exist in the U.S. between different races. This study investigated the frequency of COVID-19 infections and hypertension cases among five different racial groups (White, Black, Asian, Native American, and Native Hawaiian). The study also examined the correlation between COVID-19 infections and hypertension with the hypothesis that because of disease predisposition and socioeconomic barriers, Black populations would have the highest rates of COVID-19 infections and hypertension. We used data from the Kaiser Family Foundation regarding COVID-19 cases and race in conjunction with Census population data to determine whether COVID-19 case frequency means differed by race. Data on hypertension and …

Removing Barriers In Graduate Health Education For Students With Disabilities, Daniel Nuss

Pacific Journal of Health

Abstract

Students with disabilities continue to face barriers in graduate health education academic programs. As the number of enrolled students with disabilities increases, it is imperative that solutions are identified that remove these barriers to create inclusive and accessible learning opportunities. This study presents a narrative review of literature that examines current research on the topic of graduate health education and disability. Results identified four relevant themes for reducing barriers and improving inclusive access for students with disabilities. The themes include the need for modifying technical standards, faculty training, reasonable accommodations, and Universal Design of Learning (UDL). The findings are …

Executive Board Memo, Deborah Cannon Partridge

Josie Green Washington Papers

A memo to the Executive board of the Zeta Phi Beta Sorority Incorporated from the Grand Basileus, Deborah Cannon Partridge.

Meeting Agenda, Zeta Phi Beta Sorority Incorporated

Josie Green Washington Papers

A meeting agenda for the Zeta Phi Beta Sorority. Josie Green Washington is named as the minutes taker. On the back of the paper is a list of names with a corresponding monetary amount for each.

From Miso To Tray-C: The Impact Of Hedonic And Utilitarian Name Preference On Non-Humanoid Service Robots In Restaurants, Fatmah Almeer, Amit Sharma

ICHRIE Research Reports

Service robots are become common in the restaurant industry. Robot suppliers recommend business name such robots to increase the likelihood of their acceptance by employees and consumers. The purpose of this study was to investigate the preferences of robot names representing "Utilitarian" and "Hedonic" attributes. Our findings show that study respondents had a significantly stronger preference for hedonic names compared to utilitarian names. Names with hedonic attributes were perceived positively and were considered more trustworthy. The name identified through this study was adopted for the service robot at a hospitality management program in the United States. This report also provides …