Digital Commons Network^™

For Two Cents A Pound, Manuel F. Medrano

History Faculty Publications

No abstract provided.

Fajitas, Vaqueros And Viboras, Manuel F. Medrano

History Faculty Publications

No abstract provided.

My Last Boat?, Manuel F. Medrano

History Faculty Publications

No abstract provided.

Don Chuy: Haci Pasan Las Cosas (That’S The Way Things Occur), Manuel F. Medrano

History Faculty Publications

No abstract provided.

Using Data To Identify Gaps And Improve Institutional Collecting In Public University Archives, Hannah Pryor

Faculty and Staff Scholarship

This article describes a project undertaken to assess the university records held by Archives & Special Collections at the University of Louisville. The intention was to identify potential gaps in permanent university records and other university records that fall under relevant collection policies, such as those documenting faculty, staff, and student life. This project included generating a report of accession records in ArchivesSpace, conducting data cleanup, coding qualitative data, creating visualizations, and analyzing findings, with the aim of prioritizing outreach to university units and assisting with future backlog processing and reappraisal. The findings identify ways to improve records management and …

Words That Heal Or Harm: A Narrative Review On Language Use In Nursing Care.", R. Sudha, A.S. Neya

Manipal Journal of Nursing and Health Sciences

No abstract provided.

Challenges In Implementing Digital Health Solutions For Pressure Ulcer Management: A Narrative Review, Shreenidhi Jogi, Elsa Sanatombi Devi, Vishal Shanbhag

Manipal Journal of Nursing and Health Sciences

Background: Digital pressure ulcer care solutions are both accurate and well-developed in terms of technology. However, a gap remains between available digital solutions and their use in everyday pressure ulcer care practices. This review aims to summarize the technical, human, and system-level challenges that restrict the effective application of digital health solutions in pressure ulcer management.

Methods: The search was conducted in CINAHL, PubMed, Scopus, Web of Science, and EMBASE. Studies that reported implementation challenges in their findings were included.

Results: Infrastructure barriers were about more than just having internet access. Issues such as inconsistent system performance and hardware malfunctions …

The Connectedness Between Awareness And Practice Of Waste Control And Recycling In Urban Villages: A Cross-Sectional Community-Based Study., Nelifer Shreya Ammanna, Jeenal Valine Mendonca, Chethan Kunder, Sushwetha Poojary, Swagath Nayak, Ansuya Ansuya, Mitchelle Shilpa Lewis

Manipal Journal of Nursing and Health Sciences

Introduction: Waste management is an increasing problem that occurs globally due to expanding population around the globe. Researchers worldwide are working towards ending this problem that impacts the environment and people's health. The knowledge of the wastes produced and how we manage them is vital for the population to understand; knowing about it and practicing the same will create a ripple effect on the waste generated by the people.

Objective: To determine the condition of the urban villages in terms of awareness and practice of waste management, and to know whether these are interrelated.

Methods: A quantitative approach with …

Knowledge Regarding Cervical Cancer Among Adults Studying In A Selected Institution In Mandya District, Karnataka: A Descriptive Study, Megha Maria Joy, Nikitha R, Anitha Victoria Noronha

Manipal Journal of Nursing and Health Sciences

Introduction: Cervical cancer remains a major public health concern, particularly in low- and middle-income countries. Adequate knowledge regarding cervical cancer, its etiology, prevention, and screening is essential for early detection and reduction of disease burden. Objectives: This study aimed to assess the knowledge regarding cervical cancer among adults studying in a selected institution in Mandya District, Karnataka, and to determine the association between knowledge levels and selected demographic variables. Methods: A descriptive cross-sectional design was adopted among 60 adults selected through simple random sampling. Data were collected using a validated structured knowledge questionnaire administered through Google Forms. …

Attitudes Of Nursing Students Towards Paediatric Clinical Learning Experiences, Mamatha S Pai, Sangeetha Priyadarshini, Anusuya Prabhu, Yashoda Satish, Edlin G Mathias

Manipal Journal of Nursing and Health Sciences

Background: Clinical practicum is an important component of pediatric nursing education that helps students integrate theoretical knowledge with practical skills. Nursing students’ attitudes toward clinical learning influence their competence and overall learning experience. Factors such as supervision, clinical environment, and staff support play a major role in shaping these attitudes.

Objectives: This study aimed to evaluate the attitudes of nursing students toward pediatric nursing practice during their clinical placements. Method: A quantitative, cross-sectional study was conducted involving 261 nursing students (175 pursuing a bachelor’s degree and 86 pursuing a diploma) from a College of Nursing in Manipal, India, between 2018 …

An Evaluation Of Modelling Of Propagation Using Comsol For A Singlemode-Multimode-Singlemode Structure, Thomas Freir, Arun Kumar Mallik, Yuliya Semenova, Gerald Farrell

Research Outputs: 2025-Present

This paper presents simulation models developed for investigating singlemode-multimode-singlemode (SMS) structures, with the intention of utilising precise nano-scale 3D printing to print the center-section of the structures modelled. The models allow the design of structures for use in SMS fiber sensors, replacing the silica fiber center-section structures commonly used, with 3D printed elements. The paper discusses the process of evaluating and validating COMSOL propagation models by comparison to existing reported results and proposes the use of SMS self-imaging length and the transmission spectra as useful metrics for model comparisons. Both 2D and 3D COMSOL models are developed, and both show …

Designing A Study To Evaluate The Impact Of Webxr With Genai On Student Engagement In Distance Education, Kamran Mir, Geraldine Gray, Ana Elena Schalk, Muhammad Zafar Iqbal

Research Outputs: 2025-Present

This study aims to evaluate how immersive content can enhance student engagement, learning outcomes, and satisfaction in an open and distance learning context. The paper gives an overview of the background research and study design that investigates the impact of immersive virtual learning environments on distance education by integrating WebXR with GenAI into Moodle, a widely used virtual learning environment (VLE). The design considers two groups of learners, an experimental group and a control group. The experimental group will engage with WebXR having GenAI agents and the control group will experience the same course content delivered through conventional online teaching …

Academics’ Experiences Of Work-Life Balance And Work-Life Conflict In A Familialist State: The Case Of Bosnia And Herzegovina, Sara Clavero, Caitriona Delaney

Research Outputs: 2025-Present

Background: This paper explores how women academics in Bosnia and Herzegovina (BiH) navigate work-life conflict and the main strategies they deploy to balance their work and personal lives. It examines the range of institutional support available to them and assesses their effectiveness in facilitating work-life balance and reducing work-life conflict. Methods: Drawing on 12 semi-structured interviews with female academics at various career stages from public and private universities across BiH, this study captures personal narratives of managing work and caregiving responsibilities. Results: Thematic analysis revealed the respondents’ personal strategies to find work-life balance while trying to achieve their career goals, …

Bridging Divides In The Twin Transition: Governance For Equity And Inclusion, Olga Kolotouchkina, Paloma Piqueiras, Sara Clavero

Research Outputs: 2025-Present

This thematic issue critically engages with the complexities and challenges of the governance of the twin transition through the lens of inclusion and social justice. Scholars and practitioners from Belgium, Ireland, Portugal, Spain, Sweden, and Taiwan examine the origins, determinants, and dynamics of inequalities associated with the twin transition process across different contexts and policy domains. The contributions highlight key governance challenges, identify emerging forms of vulnerability, and bring into focus opportunities to ensure that no one is left behind in the ongoing technological and sustainable transformation.

From Clinic To Code: Using Clinician Insights To Develop A Framework For Fair And Representative Datasets In Women’S Health Ai, Andrea Heaney, Emma Murphy, Eugene Hickey

Research Outputs: 2025-Present

The development of Artificial Intelligence (AI) in healthcare is largely dependent on the quality of medical datasets. However, these datasets often fail to accurately represent women (and those seen as women) due to historic, implicit and biological biases. This under-representation can lead to biased, inequitable and even harmful models. Building upon the findings of previously conducted qualitative semi-structured semantic interviews with clinicians on their perceptions of women’s health, this paper presents a framework for translating qualitative findings to dataset characteristics via operationalisation. This framework outlines the key characteristics and considerations a dataset should include or consider to more accurately represent …

Fuzzy Logic-Based Driving Style Classification For Lane-Change Prediction In Intelligent Transportation Systems, Muhammed Fatih Koc, Nouman Ashraf, Pramod Pathak, Sachin Sharma

Research Outputs: 2025-Present

In recent years, Intelligent Transportation Systems (ITSs) have emerged as a solution to mitigate the problem of traffic congestion. Understanding human driving styles such as aggressive, normal, and cautious is crucial for safe driving. In particular, predicting lane-change manoeuvres may be further supported by combining vehicle state information with driving style information. However, existing vehicle trajectory datasets lack driving style information, making classification challenging. To address this limitation, this paper proposes a fuzzy logic-based driving style classification framework in a Vehicle-to-Everything (V2X) environment. The model uses vehicle state information, including speed, longitudinal acceleration, lateral acceleration, and distance headway to classify …

Case Report: Management Of A Challenging Case Presenting With Dysphagia After Thyroidectomy Requiring Administration Of Liquid 131i Via Mic-Key Low-Profile Tube—A Multidisciplinary Approach, Ahmed Ebada Salem, Sandra Ramirez, Brian R Weston, Akram Hussein, Simone Krebs

Faculty, Staff and Student Publications

Radioactive iodine (RAI) therapy with 131-iodine (131I) remains a cornerstone in the postoperative management of differentiated thyroid carcinoma (DTC). The standard route of administration is oral, typically in capsule form and less commonly as a liquid. However, in patients with severe dysphagia and compromised airway, traditional oral 131I delivery may be contraindicated due to the risk of aspiration and radioactivity contamination. These scenarios present unique clinical challenges that necessitate deviation from conventional protocols. While liquid 131I may be administered through the mouth or via nasogastric or percutaneous gastrostomy tubes, there is currently no standardized approach, and potential risks, such as …

Preliminary Examination Of Orexin Receptor Antagonism With Suvorexant In Individuals With Methamphetamine Use Disorder: A Case Series Study, Heather Webber, Jessica Badawi, Douglas Calvillo, Jin Yoon, Michael Weaver, Scott Lane, Joy Schmitz

Faculty, Staff and Student Publications

No abstract provided.

Integrative Multi-Omics Profiling Identifies Infiltrative Hepatocellular Carcinoma As An Immunotherapy-Resistant Subtype With Distinct Molecular Features, Won Suk Lee, Seonjeong Woo, Sung Hwan Lee, Gae Hoon Jo, Ilhwan Kim, Hyeyeong Kim, Chansik An, Sanghoon Jung, Gwangil Kim, Haeyoun Kang, Beodeul Kang, Jung Sun Kim, Ho Yeong Lim, Incheon Kang, Hannah Yang, So Jung Kong, Dahyeon Son, Dong Jun Shin, Woo Young Kwon, Da-Yeon Lee, Ju-Seog Lee, Junho Park, Youngsoo Kim, Sohyun Hwang, Chan Kim, Hong Jae Chon

Faculty, Staff and Student Publications

Background/aims: Hepatocellular carcinoma (HCC) exhibits substantial morphological and biological heterogeneity. Clinical and molecular relevance of the infiltrative subtype remains poorly defined in the context of cancer immunotherapy. We aimed to evaluate the prognostic impact and molecular features of infiltrative HCC in patients treated with first-line atezolizumab plus bevacizumab (Ate/Bev).

Methods: We included 307 patients with advanced HCC treated with Ate/Bev and classified them into four gross morphological types based on imaging. Multi-omics profiling was conducted on tumor samples. Type IV infiltrative signature was derived and externally validated using five independent HCC cohorts, including IMbrave150.

Results: Infiltrative morphology, encompassing pure and …

Evolving Molecular Subtypes Of Gastric Cancer: From Past Classifications To Present Consensus And Future Directions For Precision Therapy, Ju-Seog Lee

Faculty, Staff and Student Publications

Gastric cancer is a biologically heterogeneous disease. The advent of high-throughput multi-omic technologies has revolutionized our understanding of gastric cancer by deconstructing this heterogeneous entity into distinct and more homogeneous molecular subtypes. Early classifications based on gene expression, methylation, and histology have laid the groundwork for multi-omic frameworks proposed by The Cancer Genome Atlas and Asian Cancer Research Group, which established the foundation of modern molecular taxonomy. Subsequent integrative efforts, particularly the Consensus Genomic Subtypes (Super 6) model, have unified this collected information into clinically relevant subtypes that bridge prognostic stratification with treatment strategies. Established biomarkers such as human epidermal …

Bop2-Te: Bayesian Optimal Phase 2 Design For Jointly Monitoring Efficacy And Toxicity With Application To Dose Optimization, Kai Chen, Heng Zhou, J Jack Lee, Ying Yuan

Faculty, Staff and Student Publications

We propose a Bayesian optimal phase 2 design for jointly monitoring efficacy and toxicity, referred to as BOP2-TE, to improve the operating characteristics of the BOP2 design proposed by Zhou et al. (2017). BOP2-TE utilizes a Dirichlet-multinomial model to jointly model the distribution of toxicity and efficacy endpoints, making go/no-go decisions based on the posterior probability of toxicity and futility. In comparison to the original BOP2 and other existing designs, BOP2-TE offers the advantage of providing rigorous type I error control in cases where the treatment is toxic and futile, effective but toxic, or safe but futile, while optimizing …

A Combinatorial Approach To Synthetic Data Generation For Machine Learning, Krishna Khadka, Jaganmohan Chandrasekaran, Yu Lei, Raghu Kacker, D Richard Kuhn

Faculty, Staff and Student Publications

Datasets used in machine learning often contain sensitive information, including personally identifiable health and financial details. A common challenge faced by organizations and researchers is the risk of privacy breaches when using real-world data. Synthetic data can be used as an alternative to the real-world data. In existing synthetic data generation techniques, an encoder processes the real-world data to map it into a lower-dimensional latent space. Random sampling is then performed in this latent space. Subsequently, a decoder network is utilized to generate synthetic data from these sampled points in the latent space. Such approaches typically require generating a large …

Functional, Pharmacogenomic, And Immune Landscapes Of Long Non-Coding Rnas In Cancer, Runhao Wang, Mei Luo, Yuan Liu, Jingwen Yang, Yamei Chen, Chengxuan Chen, Lifei Ma, Stephanie Ding, James Wengler, Yong Zang, Bora Lim, Wenbo Li, Liuqing Yang, Chunru Lin, Lixia Diao, Leng Han

Faculty, Staff and Student Publications

Long non-coding RNAs (lncRNAs) are emerging as key regulators in cancer, with significant potential as diagnostic, prognostic, and therapeutic targets. Here, this work systematically analyzes lncRNA associations with targeted therapies and immunotherapies across 33 cancer types using The Cancer Genome Atlas (TCGA) and real-world datasets. This work identifies 53,173 lncRNA-pathway associations, millions of lncRNA-drug response associations (via CancerRxTissue and VAEN), and extensive correlations with immune checkpoints and infiltration. This work further identifies 69 lncRNAs associated with immunotherapy response and 2,611 differentially expressed lncRNAs between low and high objective response rate (ORR) groups. Additionally, two lncRNAs are correlated with immune-related adverse …

Bop2-Comb: Bayesian Optimal Phase Ii Design For Optimizing Doses And Assessing Contribution Of Components In Drug Combinations, Xiaohan Chi, Ying Yuan, Ruitao Lin

Faculty, Staff and Student Publications

Background: Personalized cancer treatment using combination therapies offers substantial therapeutic benefits over single-agent treatments in most cancers. However, unmet clinical needs and increasing market competition pressure drug developers to quickly optimize combination doses and clearly demonstrate the contribution of each component when developing and evaluating new combination treatments.

Methods: We propose a Bayesian optimal phase II drug-combination (BOP2-Comb) design that optimizes the combination dose and evaluates the proof-of-concept as well as the contribution of each component in two seamless stages. Our optimal calibration scheme minimizes the total trial sample size while controlling incorrect decision rates at nominal levels. This calibration …

Peripheral Cd200r Signaling: A Critical Regulator Of Post-Stroke Inflammation In Aged Mice, Conelius Ngwa, Afzal Misrani, Yan Xu, Jingjing Wang, Rodney Ritzel, Fudong Liu

Faculty, Staff and Student Publications

The immune responses to ischemic stroke are subjected to endogenous inhibitory pathways that delimitate the post-stroke inflammation. Among them, the interaction between CD200 and its receptor (CD200R) is increasingly recognized for its role in regulating neuroinflammation across various central nervous system (CNS) disorders. In the present study, we have examined the role of central (brain) vs. peripheral CD200R signaling in acute ischemic stroke using aged bone marrow chimeric (BMC) mice (16-19 months old). These chimeras were generated by transplanting bone marrow from CD200R knockout (KO), green fluorescent protein (GFP), or wild-type (WT) donor mice into irradiated recipient mice, and then …

The Legacy Of A Gentleman Scientist: Pierre Hainaut, Christophe Arnoult, Laura D Attardi, Kerem Batsheva, Giovanni Blandino, Kathleen H Burns, Giannino Del Sal, David G Kirsch, David P Lane, Arnold J Levine, Guillermina Lozano, David Malkin, Gerry Melino, Moshe Oren, Carol Prives, Daniel Schramek

Faculty, Staff and Student Publications

No abstract provided.

Contemporary Opportunities And Potential Of Auger Electron-Emitting Theranostics, Seok-Yong Lee, H Charles Manning

Faculty, Staff and Student Publications

Recent breakthroughs in radiopharmaceutical (RP) therapy have emerged interest in employing Auger electron (AE)-emitting radionuclides as potential agents for precise theranostics. AE provides energy with exceptional localization due to their short tissue penetration range (TPR, < 10 nm), rendering them particularly effective for targeting nuclear DNA in tumor cells. In this context, AE-emitting radionuclide therapy (AE-emitting RLT) enables the targeted destruction of tumor cells while reducing harm to adjacent healthy tissue, a significant challenge in this field. Preclinical and early clinical investigations reveal the efficacy of AE-emitting RLTs in the theranostics of diverse malignancies, such as glioblastoma, prostate cancer, and neuroendocrine tumors. Notwithstanding these developments, challenges and limitations persist regarding dosimetry, delivery efficiency, and the treatment of radiotoxicity. A new paradigm is being developed to tackle the obstacles encountered by integrating molecular target markers (e.g., PARP) that function near the nucleus to improve the intranuclear delivery efficiency of AE-emitting radionuclides. Novel radiochemical methods such as these have facilitated the more stable and efficient labeling of biomolecules with AE-emitting radionuclides. Also, recent advances in DNA-molecular targeting, nanoparticles, nucleic acid/protein engineering, click- or bioorthogonal conjugation chemistry, and artificial intelligence (AI)-based structure modeling present concrete opportunities to overcome these limitations. Moreover, the integration of diagnostic imaging companion platforms employing theranostic radioisotope pairings facilitates real-time assessment of therapeutic efficacy and biodistribution, resulting in the formulation of enhanced treatment regimens. This review summarizes the prior development, recent advancements, barriers in clinical implementation, and future perspective of AE-emitting RLTs.

Nsd2 Inhibitors Rewire Chromatin To Treat Lung And Pancreatic Cancers, Jinho Jeong, Simone Hausmann, Hanyang Dong, Kacper Szczepski, Natasha M Flores, Andy Garcia Gonzalez, Liyang Shi, Xiaoyin Lu, Joanna Lempiäinen, Moritz Jakab, Liyong Zeng, Tourkian Chasan, Eric Bareke, Rui Dong, Emma Carlson, Reinnier Padilla, Dylan Husmann, Julia Thompson, Gerry A Shipman, Emily Zahn, Courtney A Barnes, Laiba F Khan, Liz Marie Albertorio-Sáez, Eva Brill, Vishnu Udayakumar Sunita Kumary, Matthew R Marunde, Danielle N Maryanski, Cheryl C Szany, Bryan J Venters, Carolina Lin Windham, Michal Eligiusz Nowakowski, Iwona Czaban, Mariusz Jaremko, Michael-Christopher Keogh, Kang Le, Michael J Soth, Benjamin A Garcia, Łukasz Jaremko, Jacek Majewski, Pawel K Mazur, Or Gozani

Faculty, Staff and Student Publications

NSD2 catalyses the epigenetic modification H3K36me2 (refs. 1,2) and is a candidate convergent downstream effector of oncogenic signalling in diverse malignancies3–5. However, it remains unclear whether the enzymatic activity of NSD2 is therapeutically targetable. Here we characterize a series of clinical-grade small-molecule catalytic NSD2 inhibitors (NSD2i) and show that the pharmacological targeting of NSD2 constitutes an epigenetic dependency with broad therapeutic efficacy in KRAS-driven preclinical cancer models. NSD2i inhibits NSD2 with single-digit nanomolar half-maximal inhibitory concentration potency and high selectivity over related methyltransferases. Structural analyses reveal that the specificity of NSD2i for NSD2 …

Respiratory Motion Effects And Plan Robustness For Lattice Radiation Therapy, Rachael M Martin-Paulpeter, Peter A Balter, Luis A Perles, Ethan B Ludmir, Joshua S Niedzielski

Faculty, Staff and Student Publications

Introduction: Lattice radiation therapy (LRT), a form of spatially fractionated radiation therapy (SFRT), has shown promise in treating bulky tumors. It consists of hot and cold spots within the tumor, and the ratio between these doses is thought to be important in clinical outcomes. Respiratory motion is expected to degrade these peak-to-valley dose ratios (PVDRs) but has largely been ignored in LRT literature and clinical practice. This work aims to quantify the response of LRT dose distributions to motion to better inform motion management decisions and improve clinical outcomes.

Methods: Respiratory motion of peak-to-peak amplitudes from 0.3 to 2 cm …

Freeze-Dried, Not Frozen: Lyophilized Mesenchymal Stromal Cell-Derived Extracellular Vesicles And Therapeutic Function In Neuroinflammatory Models, Janet R Ashley, Aidan M Collier, Scott D Olson, Charles S Cox

Faculty, Staff and Student Publications

Background: Mesenchymal stromal cell (MSC)-derived extracellular vesicles (EVs) offer a promising acellular therapy for immune modulation, but clinical translation is hindered by variability and storage constraints. Lyophilization (freeze-drying) could enable shelf-stable EV therapeutics, although its effects on biological activity remain incompletely defined.

Study design: We compared the immunomodulatory effects of frozen and lyophilized EVs from bone marrow (BM), adipose tissue (AD), and umbilical cord (UC) MSCs using lipopolysaccharide-stimulated rodent splenocytes and microglial models and human peripheral blood mononuclear cells (PBMCs). Variables included batch scale (small vs large), cytokine priming, and MSC source. Tumor necrosis factor alpha (TNF-α) secretion was measured …