Digital Commons Network^™

Be Mindful: Examining A Brief Mindfulness Intervention On Educator Well-Being, Oceann S. Gittens

LSU Doctoral Dissertations

Teaching is currently rated as one of the topmost stressful occupations. Concerningly, chronic levels of stress can lead to poor mental and physical health, occupational burnout, and teacher attrition; all of which have a negative impact on student outcomes. Mindfulness-based interventions (MBIs) are commonly used to combat occupational stress by enhancing educator well-being. There is compelling evidence to support these types of interventions with teachers. However, the length of many MBIs may make them prohibitive for the average educator to participate in them. The literature suggests that a briefer format may be just as effective at reducing stress, but more …

Replication Of Sensor-Based Categorization Of Upper-Limb Performance In Daily Life In People Post Stroke And Generalizability To Other Populations, Chelsea E Macpherson, Marghuretta D Bland, Christine Gordon, Allison E Miller, Caitlin Newman, Carey L Holleran, Christopher J Dy, Lindsay Peterson, Keith R Lohse, Catherine E Lang

2020-Current year OA Pubs

BACKGROUND: Wearable movement sensors can measure upper limb (UL) activity, but single variables may not capture the full picture. This study aimed to replicate prior work identifying five multivariate categories of UL activity performance in people with stroke and controls and expand those findings to other UL conditions.

METHODS: Demographic, self-report, and wearable sensor-based UL activity performance variables were collected from 324 participants (stroke

RESULTS: Two PCs explained 70-90% variance: PC1 (overall UL activity performance) and PC2 (preferred-limb use). A five-variable, five-cluster model was optimal across samples. In comparison to clusters, two PCs and individual accelerometry variables showed higher convergent …

Unpacking Digital Transformation – Constructing A Framework Based On Industry Use Cases, Khawaja Asjad Saeed, Andrew William Green, Alison Brooke Hedrick

Faculty Articles

Based on industry use cases, we identify six distinct types of digital transformation (DT), each grounded in a specific concept or enabling technology. These DT types can be implemented individually or combined to drive transformation initiatives. While deploying a single DT type often focuses on improving operational efficiency or streamlining existing workflows, initiatives that combine multiple DT types tend to pursue more ambitious goals, such as the creation of new products, services, or business models. However, the complexity increases significantly with the integration of multiple DT types, as organizations must not only address behavioral changes but also overcome technical challenges …

Analysis Of Consistent Self-Care And Mobility Scoring Across The Inpatient Continuum, Makenzie Epting, Kasey Hutter Ms, Ccc-Slp, Michael Pechulis Dpt, Christopher Johns Pt, Dpt, Ocs, Cert. Mdt

Research Scholars

No abstract provided.

Impacts Of Care Navigation On Patient Readmissions Post Total Joint Replacement Surgery, Prajeet Santra, Teresa Latvis Ma, Bsn, Rn, Jessica Snyder Bsn, Rn, Carissa Hrichak Mba, Bsn, Rn

Research Scholars

No abstract provided.

Hepcidin Overexpression In Burn Patients Causes Decreased Red Blood Cell Synthesis, Joshua Rushing, Sigrid A. Blome-Eberwein Md, Gordon Lindberg Md, Nadine Koenig Bmst, Tc-Nrcc, Cynthia Berger Bmst-Ascp, Elizabeth Berger, Tomas Ganz

Research Scholars

No abstract provided.

Barriers Preventing Discharges Home Before Noon, Julia Sealing, Heather Faust Msn, Rn, Cmsrn, Karanda Erdman Bsn, Rn

Research Scholars

No abstract provided.

Outcomes Of Acute Infective Endocarditis With Antibiotic Treatment In Cardiothoracic Surgery, Ella Amadio, James K. Wu Md, Bryan D. Nelson Mba, Cphq, Nrp

Research Scholars

No abstract provided.

Characterization Of Necrotizing Enterocolitis (Nec) In Neonatal Patients, Jeremy Sumner, Kristin Held Wheatley Pharmd, Bcop, Tibisay Villalobos-Fry Md

Research Scholars

No abstract provided.

Insufficient Pap Smear Results In Transgender Male Patients, Ella Choi, Patricia L. Mara Md

Research Scholars

No abstract provided.

Cholecystectomy Outcomes Following The Implementation Of Robotic Surgery At Lvh-M, Amber Unger, Kathryn L Wheel Md, Joseph J. Stirparo Md

Research Scholars

No abstract provided.

The Influence Of Renal Function On 30-Day Post-Coronary Artery Bypass Graft Surgery Readmissions, Hanna Sumner, Rosemarie Incorvaia, Bryan D. Nelson Mba, Cphq, Nrp, James K. Wu Md

Research Scholars

No abstract provided.

Quality Improvement Project To Increase Utilization Of Oral Step-Down Therapy For Prosthetic Joint Infections (Pji), Juliane Kallenbach, Amy Slenker Md

Research Scholars

No abstract provided.

Emergency Department (Ed) Patients With A Sepsis Alert Discharged With A Prescription For Oral Antibiotics, Mckenna Dempsey, Jarrod W. Kile Rphd, Megan Taylor Pharmd, Eric Young Md

Research Scholars

No abstract provided.

Commonalities Of 30-Day Readmitted Coronary Artery Bypass Graft Surgery Patients, Rosemarie Incorvaia, Hanna Sumner, James K. Wu Md, Bryan D. Nelson Mba, Cphq, Nrp

Research Scholars

No abstract provided.

Inhibition Of The Caveolin-1 Pathway Promotes Apoptosis And Overcomes Pan-Tyrosine Kinase Inhibitor Resistance In Hepatocellular Carcinoma, Tasnuva D. Kabir, Samuel Beck, Lisa M. Stuart, Ji Li, Rui Hou, Peiwen Liu, Shelby Margolius, Claire Kim, Yu Suk Choi, Edward R. Bastow, Dianne J. Beveridge, Lisa Spalding, Ziyi Li, Florent Ginhoux, Pierce Chow, Michael Phillips, Andrew D. Redfern, George C. Yeoh, Alistair Forrest, Andrew J. Woo, Ankur Sharma, Jacob George, Geoffrey Mccaughan, Peter Leedman

Research outputs 2022 to 2026

Resistance to multi-tyrosine kinase inhibitors (TKI) is a major clinical concern in advanced hepatocellular carcinoma (HCC). Herein, we aimed to uncover the mechanisms underlying pan-TKI resistance and to identify potential therapeutic targets. We used multiple TKI-resistant HCC cell lines to identify caveolin-1 (CAV1) as a key driver of therapeutic resistance. CAV1 downregulation induced apoptosis, inhibited metastasis and restored TKI sensitivity in both inherent and acquired TKI-resistant HCC cells. Mechanistically, in acquired TKI-resistant cells aberrant CAV1/STAT3/P70S6K signalling is required for their survival, motility, and invasiveness. CAV1 inhibition reduced expression of dormancy regulators E-cadherin, RAC1 and p21, enhanced cancer stemness markers, and …

Patient Education: A Multidisciplinary Model At Lehigh Valley Health Network (Lvhn), Part Of Jefferson Health, Morgan Strecker, Lisa Keller Med

Research Scholars

No abstract provided.

The Effect Of Lab Processing On Turn Around Time In The Emergency Department, Brianna Andersen, Kathleen E. Kane Md, Shelbi Taylor Msn, Mba, Rn-Bc

Research Scholars

No abstract provided.

Connecting The Community In Research – Through A Community-Based Participatory Research Approach, Ava Fortner, Nicole M. Burgess, Autumn Kieber-Emmons Md, Mph, Ashwini Kamath Mulki Md, Mbbs, Mph

Research Scholars

No abstract provided.

Rationale For Pre-Procedure Dental Interventions To Enhance Medical Outcomes, Harsha Pamulapati, Rebecca Frank Rdh, Phdhp, Michele Pisano-Marsh Dmd

Research Scholars

No abstract provided.

Implementing The Lehigh Valley Health Network’S Junior Research Scholar (Jrs) Program: Mentoring At The Secondary Level, Magdalene Burnham, Lisa Keller Med

Research Scholars

No abstract provided.

The Effect Of Intravenous Contrast On Creatinine In The Emergency Department, Brianna Andersen, Kathleen E. Kane Md

Research Scholars

No abstract provided.

Exploring The Intersection Of Healthcare And Climate Change With A Socio-Ecological Model Approach, Shae Billmyer, Ashwini Kamath Mulki Md, Mbbs, Nyann Biery Ms, Dhsc, Lynn M. Wilson Do

Research Scholars

No abstract provided.

Linking Curiosity To Career: A Master Adaptive Approach To Resident Elective In Family Medicine Training, Shayna Blikshteyn, Drew Keister Md, Karla J Felix Phd

Research Scholars

No abstract provided.

(Arise) Achievements In Research, Inquiry And Scholarship Exhibition 2025, Office Of Undergraduate Research

(ARISE) Achievements in Research, Inquiry and Scholarship Exhibition

Conference held at John A. Delaney Student Union on July 25, 2025

Participant 014: Reiki Practitioner With Nine Months Of Experience (White; Female; California, Usa)

0885: Reiki and Well-Being Interviews

This is an interview about Reiki and its connection with overall well-being with a Reiki Practitioner holding nine months of experience (White; Female; California, USA). She was interviewed on July 25, 2025. The participant agreed to the terms outlined in the verbal informed consent form before this interview. Some of the broad conversations during this interview were about her use of Reiki and other healing modalities; Reiki's place in her life in the face of work stress in regulatory affairs; Reiki's ability to bring in new relationships and let outdated ones fall away; and early childhood experiences seeing Spirit and …

[Excerpt From] Harmony By Design: Navigating Work And Life In Healthcare, Sharon M. Weinstein, Marla J. Vannucci, Katie Boston-Leary

Sigma Publications: Book Excerpts

Harmony by Design: Navigating Work and Life in Healthcare reimagines how we approach well-being in a fast-paced, high-pressure world. Rather than striving for a rigid sense of balance, this book introduces a more flexible and fulfilling concept: harmony. It's about aligning your values, goals, and daily actions to create a life that feels whole and sustainable.

Authors Sharon M. Weinstein, Marla J. Vannucci, and Katie Boston-Leary blend practical tools with thoughtful reflection, drawing from the latest nursing competencies and real-world challenges to help readers manage stress, lead with empathy, and build meaningful careers without sacrificing personal well-being.

What sets this …

Comparative Analysis Of Seasonal Mixed Integrated Autoregressive Moving Average And Feed-Forward Neural Networks Models In Predicting United State Natural Hazard Casualties, Mohammed Q. Ibrahim, Azhar A. Mohammed, Alaa A. Khalaf, Nooruldeen A. Noori

Baghdad Science Journal

Improving the statistical and predictive accuracy, especially of the data on natural hazards, is important in addressing these issues. Therefore, policymakers urgently need a reliable forecasting methodology that provides decision-makers with early estimates of future and resulting healthcare expenditures based on historical time series data, so that they can assess potential risks. Researchers in the field of time series face the problem of choosing the best model for analysis from among several available models. Hence, this study compares the most effective model between a time series structure and a neural network model. Therefore, this research compares the predictive performance of …

Performance Of Cnn And Lstm Model On Covid-19 News Headline Data Classification, Dian Kurniasari, Luthfia Nur Azizah, Purnomo Husnul Khotimah, Warsono

Baghdad Science Journal

During the COVID-19 pandemic, mass media, especially online news portals, have been essential in disseminating health information and governmental policies, serving as the primary reference for the general public. Unfortunately, not all news articles are relevant to COVID-19 case monitoring. Some sources provide information that is less useful for tracking the pandemic's progression. Thus, it is crucial to develop a methodology that allows news articles to effectively aid stakeholders in monitoring COVID-19 developments. This study proposes using Deep Learning (DL) models to classify news headlines for this purpose. The aim is to identify suitable and reliable DL models for classifying …

A Study On Machine Learning Based Parkinson Disease Prediction, Suparna Dasgupta, Soumyabrata Saha, Pronay Pal, Shilarchana Maiti, Sudarshan Nath

Baghdad Science Journal

Parkinson's Disease, a neurodegenerative disorder, is one of the major chronic health issues in the world. It causes a severe disorder that affects majorly muscle control but it can also be the reason of affecting senses, cognitive ability and cognitive health. Approximately, 90% of the Parkinson affected people face speech difficulty. Conventional diagnosis methods may be biased which may result in wrong diagnosis of Parkinson's Disease because symptoms are usually elusive. This study aims to assess how well different machine learning algorithms can predict Parkinson's disease using vowel phonation data, with the goal of early detection and more accurate patient …