Digital Commons Network^™

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.

Preparation And Characterization Of Electrospun Pvdf-Based Nanocomposite Fibers For Energy Harvesting And Storage Applications, Ahmed Ramzy, Electrochemistry And Corrosion Laboratory, Physical Chemistry Department, National Research Centre, Dokki, Cairo, 12622, Egypt, Ahmed M. El-Mahalawy

Nanotechnology Research Centre

This study introduces the development of multifunctional electrospun polyvinylidene fluoride (PVDF) composite films doped with potassium octatitanate (KTO) for advanced energy applications. The research tackles key challenges in energy generation and storage through innovative material design and detailed characterization. Adding 0.2 wt% KTO to PVDF electrospun fibers resulted in a notable increase in crystallinity to 78.51 %, marking a significant enhancement in material properties. Structural analysis using X-ray diffraction and Fourier transform infrared spectroscopy confirmed optimal phase composition, while morphological features were verified through field emission scanning electron microscopy. The composite films showed exceptional electrochemical performance, with bulk electrolyte resistance …

(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 …

Autism Spectrum Disorder: A Review Of Genomic Risk Factors, Diagnostic And Pharmacotherapeutic Strategies, Zohor Azher

Saudi Toxicology Journal

Autism Spectrum Disorder (ASD) is a multifactorial neurodevelopmental condition characterized by impairments in social communication and delayed language development, repetitive behaviors, and sensory processing abnormalities. The genetic background of ASD remains incompletely understood due to significant genetic heterogeneity and complexity. This review aims to present current insights into the genetic landscape of ASD, focusing on both common and rare genomic variations. We describe candidate genes associated with ASD, as they are involved in synaptic function and neuronal signaling, making these findings potential therapeutic targets. This review emphasizes the importance of integrating comprehensive clinical assessments with advanced genetic investigations to enhance …

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 …

[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 …

Enhancement Of Ultrasonic Welding Of Bulk Carbon Nanotube-Metallic And Graphene-Metallic Conductors, Daniel L. Broderick

Theses

Nanostructured carbon sheets comprising carbon nanotube (CNT) or graphene are appealing for electrode and antenna applications. Physical connection to metal conductors requires enhanced mechanical strength, electrical performance, and thermal capability. Ultrasonic welding is a viable technique to fabricate stable and robust bonds but requires methods to further reduce electrical resistance and improve mechanical strength. The present dissertation has advanced ultrasonic welding between bulk CNT electrodes and Cu foil by utilizing chemically doped junctions at the bond interface. Specifically, a selective doping strategy using KAuBr4 at the bonding regions between bulk CNT electrodes and Cu lowers the electrical contact resistance measured …

Physician And Hospital Performance In Medicare’S Updated Bundled-Payment Model For Joint Replacement, Aidan P. Crowley, Austin S. Kilaru, Qian Erin Huang, Erkuan Wang, Jingsan Zhu, Ayush Arora, Torrey Shirk, Deborah S. Cousins, Kristin A. Linn, Said A. Ibrahim, Joshua M. Liao, Amol S. Navathe

Department of Medicine Faculty Papers

IMPORTANCE: Independent evaluations of Bundled Payments for Care Improvement Advanced (BPCI-A) have focused on hospitals and have not assessed the performance of physicians in participating physician group practices (PGPs). However, PGPs are accountable for a larger proportion of surgical procedures, including for lower-extremity joint replacement, in the BPCI-A model than are hospitals.

OBJECTIVE: To evaluate the association of treatment by BPCI-A-participating physicians and hospitals with health care spending, quality, and utilization for joint replacement procedures compared to nonparticipants.

DESIGN, SETTING, AND PARTICIPANTS: This cohort study used Medicare claims of beneficiaries receiving lower-extremity joint replacement between April 2016 and September 2019 …

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 …

The Effect Of Qber Estimation On The Efficiency And Security Of Quantum Key Distribution, Sufyan Al-Janabi

Baghdad Science Journal

Quantum Key Distribution (QKD) is a prominent solution to achieve proven secure data transmission between legitimate users despite any assumptions about the eavesdropper's computational power (given that the laws of quantum mechanics are correct). This remains true even under attacks by quantum computers. In recent years, there has been a great research interest in developing enhanced security constructions based on QKD. This is mainly driven by the envisioned threats of quantum computers to the traditional information security infrastructure based on public key cryptography. This research lies under the wide umbrella of the so-called post-quantum cryptography. However, for any QKD protocol, …

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 …

Enhancing Fetal Health Assessment Using Machine Learning And Xai Techniques, Niaz Ashraf Khan, A. M. Saadman Rafat

Baghdad Science Journal

Fetal health assessment is crucial for ensuring the well-being of both mother and fetus during pregnancy. Accurate monitoring can reduce child and maternal mortality rates, particularly in low- and middle-income countries where these rates are higher. This research aims to enhance fetal health classification using advanced machine learning techniques and Explainable Artificial Intelligence (XAI) to address the gaps in predictive accuracy and model transparency. A dataset of 2,126 records with 22 features from Cardiotocography (CTG) readings. The dataset was balanced using Synthetic Minority Over-sampling Technique (SMOTE) to handle class imbalances. Various machine learning algorithms, including LightGBM, XGBoost, and Random Forest, …

Degrees Of Freedom: How Project Rebound Facilitates Access To Higher Education For Adjudicated Adults, Elizabeth Regina Wirtz

Dissertations

Marginalized students are recommended for suspension and expulsion at higher rates than non dis/abled White peers. Exclusionary discipline contributes to the school-to-prison pipeline and recidivism rates in adults. Educational programs have been effective ways to support adjudicated adults as they transition back to their life after serving their sentences. The CSU program Project Rebound is a highly successful rehabilitation tool for adults seeking higher educational opportunities with an effective 0 percent recidivism rate. To learn about this organization a mixed methods study was conducted. The goal of this study was to capture quantitative and qualitative data about the experiences of …

Theory And Engineering Practice Of Coal-Water Coordinated Mining Based On Constraints Of Formation Bearing Capacity, Pang Zhenzhong, Zeng Yifan, Han Keyao, Wu Qiang, Liu Shouqiang, Hua Zhaolai, Zhao Gangyi, Zhang Shuai, Yang Huxiong, Wang Xuejun, Li Feifan

Coal Geology & Exploration

Background The high-intensity mining of coal resources in the Yushen mining area has caused negative environmental effects and water disasters on coal seam roofs, seriously restricting the sustainable development of the area.Methods and Results Based on a summary of previous research results on the mitigation of the impacts of coal mining on groundwater resources and surface ecosystem, this study analyzed the contradiction between coal mining and the protection of the fragile ecosystem in the Yushen mining area in Shaanxi Province through theoretical analysis, field investigation, and data statistics. Then, it systematically illustrated the concept of the formation bearing capacity …

Impacts Of Boundary Conditions And Parameter Heterogeneity On The Simulation And Prediction Of Water Inflow In Coal Mines, Ji Qiang, Wu Zhenjiang, Yao Yingying

Coal Geology & Exploration

Background Accurate prediction of water inflow in coal mines is essential for ensuring safe mining operations. Three-dimensional (3D) groundwater numerical models can be used to characterize hydrogeological conditions in mining areas and simulate the dynamic processes of water inflow, providing a theoretical basis for scientifically predicting mining-induced water inflow. However, there is a lack of a clear understanding of the impacts of the boundary conditions with surface water-groundwater interactions and the heterogeneity of aquifer permeability coefficients (K) on the simulation and prediction of water inflow during coal mining. Methods This study developed a 3D transient groundwater numerical model …

An Experimental Study On The Seepage Characteristics Of Sandstones With Different Numbers Of Fractures Before And After Grouting, Chen Juntao, Zhou Haoyu, Yu Junjian, Li Guo, Fan Mingjin, Li Lu, Wang Yunhao

Coal Geology & Exploration

Background Grouting in surrounding rocks serves as a conventional approach to controlling disasters in coal mine roadways. The developmental degree of fractures significantly influences the reinforcement and sealing effects of grouting. Methods To determine the changes in the impermeability of fractured surrounding rocks before and after grouting, this study investigated sandstones—the most common sedimentary rocks in coal mines. Using laboratory experiments and numerical simulations, this study explored the permeability variations of sandstone specimens with varying fracture numbers under different confining pressures and assessed the impact of grouting on their seepage performance. Through triaxial compression-seepage experiments using a Rock Top multi-field …

An Experimental Study On Seepage Characteristics And Grouting-Induced Permeability Reduction Of Burnt Rocks, Qian Ziwei, Tan Chunzhi, Sun Qiang, Wang Hai, Zhang Gailing

Coal Geology & Exploration

Background Burnt rocks represent special geobodies formed by the spontaneous combustion of coal seams. Their pore and fracture systems provide preferential spaces for groundwater occurrence and migration while also posing severe water hazard threats to the safe mining of adjacent coal seams. Methods To address this engineering challenge, this study systematically analyzed the void structures within burnt rocks using three-dimensional reconstruction technology. Through laboratory seepage and grouting experiments, this study revealed the seepage patterns and grouting-induced permeability mechanisms of typical burnt rock specimens. Results and Conclusions The burnt rock specimens contained highly developed pores and fractures, with the void structures …

Developmental Pattern Of Water Flowing Fractured Zones In The Soil-Bedrock-Type Overburden And Water-Controlled Mining Strategy Under A Super-Large Mining Height, Zhang Yujun, Hua Zhaolai, Song Yejie, Hu Haoyu, Li Jiawei

Coal Geology & Exploration

Background The heights of water flowing fractured zones represent a key concern in the prevention and control of water disasters occurring in mining face roofs and water resource protection of coal mines. Varying lithologies and structures of the overburden are identified as primary factors governing the height and characteristic differences of water flowing fractured zones. Methods Against the engineering background of a mining face with 10 m super-large mining height in the Caojiatan Coal Mine of Shaanxi Province, this study investigated the differences in the mining-induced responses of the soil-bedrock-type overburden using numerical simulations of stress-seepage coupling and measured heights …

Regularity And Mechanisms Of Water-Sand Inrushes Within Mining-Activated Faults, Zhang Shichuan, Huang Pu, Li Yangyang, Wang Chenggong, Wu Zhenhua

Coal Geology & Exploration

Background During underground coal mining, water-sand mixtures within faults may rush into mine floors. The water-sand inrushes are especially prominent under the conditions of high water-yield properties and loose filling structures in fault zones, severely threatening the safe mining of coal mines. Previous studies focus primarily on the impact of a single factor on inrushes. Hence, it is significant to systematical investigate the regularity of water-sand inrushes within faults under the combined effects of multiple factors. Methods Based on the fluid and granular mechanic theories, this study derived the instability criterion and flow formulas of water-sand mixtures. Using orthogonal experiments …

Conversion Relationships And Three-Dimensional Storage And Utilization Modes Of Four Water Resources In An Open-Pit Mining Area, Chen Tianci, Xu Zhimin, Sun Yajun, Fang Jie, Wang Qiangmin, Xiong Xiaofeng, Zhu Yuhao, Lu Zihan, Wan Fei

Coal Geology & Exploration

Background Open-pit coal mines in China are primarily distributed in arid and semi-arid regions such as Xinjiang and Inner Mongolia. However, the contradiction between coal mining and groundwater resource conservation is increasingly prominent in these regions. Specifically, a substantial amount of mine water inflow produced during coal mining tends to lead to the further loss of groundwater resources within the influence range of a mining area. Concurrently, the failure of efficient mine water storage intensifies the regional water shortage.Methods This study investigated a typical open-pit coal mine in eastern Inner Mongolia. Using methods such as field survey and sampling, …

Impact Of Prostate Volume On Dose Fall-Off And Organ-At-Risk Exposure In Vmat For Prostate Cancer, Zhikang Jiang

Masters Projects

Prostate cancer remains one of the most prevalent malignancies among men, with radiotherapy, particularly VMAT—playing a central role in its management. VMAT allows for highly conformal dose delivery, but treatment planning must strike a careful balance between achieving steep dose gradients around the prostate and minimizing radiation exposure to nearby organs at risk (OARs), such as the bladder and rectum. This study aimed to evaluate how prostate volume influences dose fall-off characteristics and OAR dose exposure in VMAT treatment plans, providing insights into optimizing radiotherapy for patients with varying prostate sizes. A retrospective analysis was conducted on 50 prostate cancer …

Summary Of Taxonomy Changes Ratified By The International Committee On Taxonomy Of Viruses (Ictv) From The Bacterial Viruses Subcommittee, 2025, Dann Turner, Evelien M. Adriaenssens, Rudolf I. Amann, Pavol Bardy, Nina Bartlau, Jakub Barylski, Stanislaw Błażejak, Majid Bouzari, Ariane Briegel, Yves Briers, Daniel Carrillo, Xia Chen, Dennis Classen, Ryan Cook, Marco A. Crisci, Arnaud Dechesne, Paulina Deptula, Bas E. Dutith, Bert Ely, Lars Fieseler, Et. Al.

Faculty Publications

This article summarises the activities of the International Committee on Taxonomy of Viruses Bacterial Viruses Subcommittee, detailing developments in the classification of bacterial viruses. We provide here an overview of all new, abolished, moved and renamed taxa proposed in 2024, approved by the Executive Committee, and ratified by membership vote in 2025. Through the collective efforts of 74 international contributors of taxonomy proposals in this round, 43 ratified proposals have led to the creation of one new phylum, one class, four orders, 33 families, 14 subfamilies, 194 genera and 995 species. These proposals mark significant progress in refining the taxonomy …

Assessment Of Dnase Activity By Ratiometric Fluorescence Resonance Energy Transfer, Candace L Minchew, Vladimir V Didenko

Faculty, Staff and Students Publications

The present protocol describes a simple and sensitive ratiometric Förster resonance energy transfer (FRET) assay for the detection and quantitative assessment of DNase activity. Ratiometric FRET measurements make use of the ratio of donor and acceptor emission signals. The assay detects single-stranded DNA breaks using a staple-shaped, dual-tagged 38-mer FRET oligoprobe, employed as a real-time DNA cleavage sensor. The main application of the described approach is the quantitative assessment of the effects of reaction conditions, such as pH, temperature, and buffer composition, on DNase activity. Due to its ability to detect even minor and slow DNA cleavage, the assay is …

U-Rich Elements Drive Pervasive Cryptic Splicing In 3′ Utr Massively Parallel Reporter Assays, Khoa Dao, Courtney F Jungers, Sergej Djuranovic, Anthony M Mustoe

Faculty, Staff and Students Publications

Untranslated RNA sequences play essential roles in orchestrating gene expression. However, the sequence codes and mechanisms underpinning post-transcriptional regulation remain incompletely understood. Here, we revisit the finding from a prior massively parallel reporter assay (MPRA) that AU-rich elements in 3' untranslated regions (3' UTRs) can drive upregulation or downregulation of mRNA expression depending on 3' UTR context. We unexpectedly discover that this variable regulation arises from widespread cryptic splicing, predominately from an unannotated splice donor in the coding sequence of GFP to diverse acceptor sites in reporter 3' UTRs. Splicing is activated by U-rich sequences, which function as potent position-dependent …