Digital Commons Network^™

A Retrospective Data Analysis On Marine Animal Injuries At A Large, Multi-Site Medical System, Anthony Shadiack, J Burton Banks

HCA Healthcare Journal of Medicine

Background

With increasing numbers of human-animal interactions, there has been an increase in animal-related injuries. While canine bites are the most commonly reported animal injury, little data exists in regard to the other classes of animals, particularly marine life. The last comprehensive report on injuries related to noncanine bites and stings seen in emergency departments (EDs) across the US was between 2011 and 2015.

Methods

We performed a retrospective analysis from 2014-2019 on marine injuries from a large hospital network with over 180 hospitals, 100 freestanding EDs, and 170 urgent care centers to provide an update on the volume and …

Treatment Analysis Of Very Early And Early Onset Psychosis In The Youth Inpatient Setting, Acelyne Marie Summerson, Jordan Kalosieh, Sindhura Kompella, Clara Alvarez-Villaba, Yukthi Kodali

HCA Healthcare Journal of Medicine

Background

The United States Food and Drug Administration approved 6 atypical antipsychotics for pediatric treatment of schizophrenia. However, little has been published on the effectiveness of these medications in the acute treatment setting of adolescents with psychosis. Since the clinical uncertainty and poor prognosis proceeding the early onset of schizophrenia has a significant impact on a child’s development, there is a critical need for evidence-based data on this population. The aim of our study was to investigate the effect of various antipsychotics on young patients admitted to the inpatient ward presenting with acute psychosis.

Methods

A retrospective analysis was performed …

Assessment Of The European Hernia Society Classification Of Ventral Hernias And Clinical Outcomes, Oluwatunmininu A. Anwoju, Ashtyn Barrientes, Connor Hogan, Erik Askenasy, Jacob Greenberg, Keith Jerrod, Scott J. Roth, Zuhair Ali, Mike K. Liang

HCA Healthcare Journal of Medicine

Background

Ventral hernias are a common but heterogeneous disease. Communication among key stakeholders (eg, patients, clinicians, administrators, payers, and researchers) can be augmented by a widely utilized classification system. The European Hernia Society (EHS) developed an expert-opinion-based hernia classification system organized by hernia type (primary versus incisional) and size. We sought to assess what components of the EHS ventral hernia classification system were correlated to real-world clinical outcomes.

Methods

This was a multicenter cohort study. All hospitals contributing to the database were affiliated with 1 of 6 academic institutions. All adult patients who underwent ventral hernia repair over a 4-year …

Second Generation Antipsychotics And Cardiovascular Adverse Effects: Developing Evidence-Based Recommendations For Primary Care Medicine, Sana Borda, Ahn-Dao Lee, Paul F. Bell

HCA Healthcare Journal of Medicine

Background

Second-generation antipsychotic medications (SGAs) are often used by primary care physicians (PCPs) to treat multiple psychiatric diagnoses. SGAs have been connected to a number of adverse effects, including cardiovascular disease. Currently, there are no published evidence-based recommendations addressing SGAs and cardiotoxicity that are directed toward PCPs. This project aims to fill this gap.

Methods

Relevant search terms related to SGAs and cardiovascular disease were identified and then used to search databases (PubMed, PubMed Central, and AccessMedicine). Research studies obtained from the searches were narrowed to include systematic reviews and meta-analyses. The Assessment of Multiple Systematic Reviews-2 (AMSTAR-2) tool was …

Sars-Cov-2 Vaccination Can Only Be Held Responsible For Thrombotic Thrombocytopenic Purpura After All Differentials Have Been Ruled Out, Josef Finsterer

HCA Healthcare Journal of Medicine

This letter to the editor addresses limitations to holding COVID vaccines responsible for the diagnosis of thrombotic thrombocytopenic purpura and discusses the potential differential diagnoses that must be considered.

Survey: A Study On Image Encryption Using Dna In Bioinformatics, Rana M. Zaki, Zaed S. Mahdi, Matheel E. Abdulmunim

Journal of Soft Computing and Computer Applications

One area of study between computer science and biology is bioinformatics, which deals with methods for collecting, processing, storing, and evaluating biological data. Sequences of RiboNucleic Acid (RNA), DeoxyriboNucleic Acid (DNA), and proteins make up biological data, which has a wide range of uses in domains such as feature extraction, data segmentation, data security, and more. In cryptography, DNA sequences are used as data carriers, enhancing the unique properties of biomolecules. This approach involves using DNA sequences to enhance the security of confidential data that must be transmitted over networks or stored securely. Several DNA-based security techniques have been developed, …

New Feature Selection Using Principal Component Analysis, Zaid Mundher Radeef, Soukaena Hassan Hashem, Ekhlas Khalaf Gbashi

Journal of Soft Computing and Computer Applications

Dimensionality reduction techniques streamline machine learning by reducing data complexity, improving model accuracy, and cutting computational costs. They remove noise and irrelevant features, making models faster and more efficient. These techniques also enhance data visualization and interpretation by condensing data into manageable, insightful dimensions. Ultimately, dimensionality reduction leads to simpler, more interpretable models without sacrificing critical information, making it a cornerstone of efficient data analysis and machine learning applications. Theoretically, feature extraction tends to create new features that encapsulate more information by combining multiple existing features, resulting in more concentrated and informative features. In contrast, feature selection involves choosing a …

Development Of A Hybrid Methodology Of Deep Learning And Machine Learning For Lung Nodule Detection In Medical Computed Tomography Images, Zaed S. Mahdi, Rana M. Zaki, Alaa Kadhim Farhan, Negar Majma

Journal of Soft Computing and Computer Applications

Deep learning and machine learning play an important role in the medical field, helping doctors make accurate, fast and effective diagnosis. Despite the progress achieved in the use of modern technologies in detecting cancerous nodes, current studies still suffer from some challenges and limitations that must be addressed to obtain high efficiency in identifying cancerous nodes. These challenges include using image pre-processing, combining deep learning and machine learning techniques, and constantly adapting to clinical changes, in order to address this. A hybrid methodology has been proposed for detecting cancerous nodules in the lung in medical Computed Tomography (CT) images. It …

Enhancing Image Classification Using A Convolutional Neural Network Model, Zena M. Saadi, Ahmed T. Sadiq, Omar Z. Akif, Marwa M. Eid

Journal of Soft Computing and Computer Applications

In recent years, with the rapid development of the current classification system in digital content identification, automatic classification of images has become the most challenging task in the field of computer vision. As can be seen, vision is quite challenging for a system to automatically understand and analyze images, as compared to the vision of humans. Some research papers have been done to address the issue in the low-level current classification system, but the output was restricted only to basic image features. However, similarly, the approaches fail to accurately classify images. For the results expected in this field, such as …

Improved Rapidly-Exploring Random Tree Using Firefly Algorithm For Robot Path Planning, Dena Kadhim Muhsen, Firas Abdulrazzaq Raheem, Yuhanis Yusof, Ahmed T. Sadiq, Faiz Al Alawy

Journal of Soft Computing and Computer Applications

In robotics, efficient path planning makes robots work independently and move through changing environments over time. This study combines the Rapidly-exploring Random Tree (RRT) architecture with the Firefly Algorithm (FA) to make robot’s path-planning better. The proposed ERRT-FA, which stands for "Enhanced RRT with Firefly Algorithm", generates better routes using Firefly social habits. Plan routes using Firefly social habits can effectively aid in exploring configuration space. The role of the FA is to enhance the RRT algorithm by providing an optimized exploration of the search space, ultimately leading to optimizing the path found by the RRT algorithm and better paths …

Foreword From Editor - 16th Edition: Toward An Inclusive Community Engagement, Yandi Andri Yatmo

ASEAN Journal of Community Engagement

This edition of AJCE defines and elaborates on the idea of inclusive community engagement as a means to involve the community in a meaningful process. ‘Inclusive’ refers to the principles of encompassing everyone, all individuals and groups alike, regardless of their identity, background, characteristics, needs, and perspectives, thereby ensuring that all voices are represented (Hodkinson, 2011). This practice extends beyond individuals with disabilities and embodies broader ideas of equality. Inclusive engagement plays a crucial part in fostering a constructive dialog that incorporates diverse perspectives within a community. Such engagements prioritize community participation in the decision-making process that affects their well-being …

Investigating Brand Awareness, Brand Image, And Perceived Quality On Customer Loyalty, Antaja Nadjwa, Diandra Srivania, Hasna Rizki Mardhiana

Jurnal Vokasi Indonesia

This study investigates the impact of brand awareness, brand image, and perceived quality on customer loyalty, with a focus on Telkomsel users within the Creative Business program at Universitas Indonesia. Employing a quantitative research methodology, data were collected from 50 respondents using a structured questionnaire and analyzed using SPSS 26. The findings reveal that all three factors—brand awareness, brand image, and perceived quality—positively influence customer satisfaction, which in turn significantly enhances customer loyalty. Specifically, perceived quality emerged as the most influential factor driving customer satisfaction, followed by brand image and brand awareness. The study underscores the critical role of perceived …

Satisfaction Of Excellent Service Training Participants With The Kirkpatrick Model At Alia Hospital Depok, Nur Fadilah Dewi

Jurnal Vokasi Indonesia

The study aims to improve the quality of human resources and services at Alia Hospital Depok through evaluation of training programs. The approach used is the Donald Kirkpatrick model evaluation which is a common method used in evaluating the effectiveness of training. The main problem faced by Alia Hospital Depok is the lack of evaluation conducted on the training programs that have been held. Therefore, training evaluation needs to be considered to improve the quality of human resources and services provided. The research method used is a survey by distributing questionnaires to service excellent training participants to evaluate their reactions …

Qualitative Characteristic Of Financial Statement Information And Implementation Psak 73 : Case Study In The Advertising Services Pt Abc, Hasnawati Hasnawati, Marsdenia Marsdenia, Trie Wiesty Cindy Salsabila

Jurnal Vokasi Indonesia

The quality of information presented in the financial statement is the most important thing for stakeholders in the business decision-making context. There has been a significant change in lease accounting practices due to changes in lease accounting standards for all business entities in countries that adopt IFRS. In 2017 the IASB published IFRS 16 Leases as new guidance on leases replacing IAS 17. DSAK IAI made adjustments related to IAS 17 to become PSAK 30, then based on the changes that emerged PSAK 30 was revoked and adjustments were made to IFRS 16 to become PSAK 73. These changes were …

The Importance And Role Of Public Relations In The Marketing Department At Mangkuluhur Artotel Suites, Habibillah Fitran, Mohammad Ridha

Jurnal Vokasi Indonesia

ABSTRACT The purpose of writing this research is to explain the role of Public Relations in the Marketing Communication Department regarding how to improve brand image, improve marketing and advertising to be more optimal, publish various information and promotions at Mangkuluhur ARTOTEL Suites through various information media and social media, and how to respond to customer complaints, as well as obstacles that occur in hotels related to various customer complaints and poor communication by several individuals within the hotel employees are also accompanied by appropriate solutions. To complete this research, the author collected data by conducting observations accompanied by interviews …

Environmental Tax Reform: Eco-Friendly Policies In Indonesia Amid The Climate Crisis, Ocktarani Ocktarani, Elsie Kasim

Jurnal Vokasi Indonesia

This research starts from the factual problem of the climate crisis phenomenon which causes a domino effect on the environment and the economic sector. Therefore, it is necessary to carry out environmental tax reform (green tax reform). Based on these problems, research was carried out to explain the green tax theory and look at green tax policy in Indonesia. The research method used in this research is qualitative with a constructivist approach. The result of the study indicate Indonesia's implementation of green tax rules signifies a proactive approach to addressing environmental challenges. However the effectiveness of these taxes is contingent …

Implementation Challenges And Opportunities Coretax Administration System On The Efficiency Of Tax Administration, Fitria Arianty

Jurnal Vokasi Indonesia

An efficient and transparent tax administration system is essential to ensure the optimization of state revenue and taxpayer compliance. The Indonesian government has initiated the implementation of the Coretax Administration System (CtAS) as part of tax reform efforts to improve efficiency in tax administration. This study aims to analyze the challenges and opportunities faced in the process of implementing CtAS in Indonesia. This study uses a qualitative method with data collection techniques in the form of literature studies, which are continued by conducting a SWOT analysis of this CtAS policy. The results of the discussion show that the main challenges …

Exploring Student Satisfaction In Learning With Podcast Applications: A Qualitative Study Based On Open-Ended Questions, Indah Permatasari, Peny Meliaty Hutabarat, Erni Adelina

Jurnal Vokasi Indonesia

This study aims to explore student satisfaction with the use of podcasts as a learning medium in the Non-News Radio Production course. A qualitative approach was used, with three open-ended questions posed to students: (1) What different experiences did you have when listening to the course material via podcast?(2) Did listening to the course material through podcasts help you focus on understanding the material? And why? And (3) provide your opinion on the Adapto podcast material shared during the Non-News Radio Production course in the 4th semester. The data obtained was thematically analyzed to identify the main emerging themes. The …

Game-Based Learning With Augmented Reality, Kantida Nanon

Dissertations

Augmented Reality (AR) technology provides an effective and controllable learning environment, especially for complicated, potentially dangerous, or critical content. Effective implementation of interaction and platforms for educational tools can maximize learner engagement and optimize the learning experience. This dissertation explores the potential of AR technology to enhance learning experiences across multiple platforms and subject areas, particularly within chemistry and mathematics. The dissertation is grounded in the field of Human-Computer Interaction (HCI) and explores the potential of AR to increase learner engagement, improve learning outcomes, and transform traditional pedagogical practices.

The dissertation is divided into two parts. The first part examines …

First-Principles Study Of Ferroelectric Properties And Co2 Reduction Reaction Capabilities In Two-Dimensional Monolayers And Heterostructures, Mo Li

Dissertations

Two-dimensional (2D) materials hold significant potential for CO₂ reduction reactions (CO₂RR) due to their high surface-to-volume ratio. However, achieving high selectivity for desired products and overcoming limitations posed by scaling relationships remain challenging. Recent studies suggest that ferroelectric (FE) materials with switchable out-of-plane polarization (OOP) can effectively tune the adsorption behavior, thermodynamics, and kinetics of CO₂RR, offering promising solutions to these challenges. Using density functional theory (DFT) and the Berry phase approach, this work expands the family of 2D ferroelectrics by theoretically identifying Y₂CO₂, Y₂CS₂, and Sc …

Determination Of Electrochemical Parameters For Predicting Reaction Mechanism And Algorithmic Approaches To Pain Assessment, Huize Xue

Dissertations

This dissertation introduces novel advancements in electrochemical kinetics and pain assessment, structured into two main parts. The first part focuses on the comprehensive analysis of the kinetic and mechanistic aspects of electrochemical reactions, utilizing a combination of experimental techniques and simulation methods. A new software tool, Envismetrics, was developed using Python to facilitate the analysis of complex electrochemical data, including cyclic voltammetry (CV), chronoamperometry (CA), and hydrodynamic voltammetry (HDV). The software was rigorously tested and validated with well-characterized redox systems such as the ferricyanide/ferrocyanide couple, dimethylamine borane (DMAB), and Per- and Polyfluoroalkyl Substances (PFAS). It was successfully used to determine …

Differential Item Functioning Of The Region-Based National Examinationequipment, Adi Setiawan, Gulzhaina Kuralbaevna Kassymova, Vianney Mbazumutima, Anggit Reviana Dewi Agustyani

REID (Research and Evaluation in Education)

This research aims to detect Differential Item Functioning (DIF) in the 2014/2015 National Examination Questions in mathematics of junior high schools and equivalent- level schools in the Yogyakarta region as a reference group and the South Kalimantan region as a focus group using the Likelihood Ratio Test (LRT) method, Area Measure Raju, and Lord. A sensitivity analysis was conducted to determine the most sensitive method. The data consisted of 5,465 National Examination papers of the students from the two regions who worked on type A questions. A sample of 1,000 exam papers for each region was established using the simple …

Exploring The Perceptions Of Literacy In Assessment For Learning Among High School English Teachers, Sukarno Sukarno, Nur Hidayanto Pancoro Setyo Putro, Ihtiara Fitrianingsih, Yasir Ayed Alsamiri, Fadhl Mohammed Awadh Gharamah, Ingrid A. Gavilan Tatin

REID (Research and Evaluation in Education)

In the field of English language education, the crucial role of assessment for learning (AfL) requires teachers to possess robust assessment literacy. This study explores AfL literacy among high school English teachers in Yogyakarta, Indonesia by utilizing Alonzo's validated AfL survey that establishes a comprehensive six-factor model, delineating teachers as assessors, pedagogists, student partners, motivators, learners, and stakeholder partners. Exploiting confirmatory factor analysis and examining demographic variations, this quantitative research invited 202 English teachers in the Special Region of Yogyakarta, Indonesia selected purposively based on the geographical service area. Data were collected through an online questionnaire adopting Alonzo's 42-questions AfL …

Griffin's Slow Burn Revolution In Philosophy And Comparative Cognition, Kristin Andrews

Animal Sentience

Ristau presents Griffin as launching a scientific revolution supported by philosophical insights. This commentary focuses on two points: Griffin as a scientific revolutionary, although the cognitive ethology revolution is not yet complete; and on the immense influence Griffin had, and continues to have, on philosophy.

Gas-Generating Reactive Materials: Design, Evaluation And Effect Of Morphology On Their Ignition And Combustion, Purvam Mehulkumar Gandhi

Dissertations

This work investigates optimizing gas-generating reactive materials, focusing on particle morphology's effect on ignition and combustion behavior. Metal-based gas-generating energetic materials (EMs) are promising alternatives to replace traditional CHNO compounds. Design of advanced metal-based EMs requires consistent ways of evaluating how their characteristics affect their ignition and combustion. Many relevant evaluation approaches exist; however, the results may be difficult to compare directly across different studies. Commonly, experimentalists ignite metal-based EMs in enclosed chambers and report pressures, P. However, direct comparison of these pressures is hindered by variations in the chamber volume, V, and the EM mass, m. To standardize the …

Cme For Family Mediators, Indiana Continuing Legal Education Forum (Iclef)

Indiana Continuing Legal Education Forum 2024

Meeting proceedings of a seminar by the same name, held September 27, 2024.

Best Practices For Fiduciary Accountings & Procedures In Probate Practice, Indiana Continuing Legal Education Forum (Iclef)

Indiana Continuing Legal Education Forum 2024

Meeting proceedings of a seminar by the same name, held April 30, 2024.

Understanding Barriers To Optimal Supervision And Delivery Of The Nationalcertificate (Vocational) Curriculum Through Tvet College Lecturers’Reflective Evaluations, Angelona Rewhydah Williams, Karel Prins, Bongani Innocent Nkambule, Sindile Amina Ngubane

REID (Research and Evaluation in Education)

Propounded by reflective theory, this qualitative case study drew on TVET lecturers' reflective evaluations of factors that they considered to have a bearing on optimal supervision and delivery of the National Certificate (Vocational) curriculum. Data were collected from participants across three campuses of a TVET college in the Eastern Cape Province, South Africa. Twelve lecturers of different seniority were purposively sampled and interviewed in two focus group sessions. The first focus session involved six participants: four post-level 2 and two post-level 3 personnel recognized by the South African Council for Educators (SACE) as "office-based lecturers" and classified within the middle …

A Case Report Of Long-Latency Evoked Diaphragm Potentials After Exposure To Acute Intermittent Hypoxia In Post-West Nile Virus Meningoencephalitis, Joseph F. Welch, Erica A. Dale, Jayakrishnan Nair, Paul W. Davenport, Emily J. Fox, Gordon S. Mitchell

Department of Physical Therapy Faculty Papers

We present a case report of a 42-year-old female with post-West Nile virus meningoencephalitis who exhibited unique, long-latency diaphragm potentials evoked by transcranial and cervical magnetic stimulation after exposure to acute intermittent hypoxia (AIH). The subject was recruited for a study investigating AIH effects on respiratory motor function in healthy individuals. She had contracted West Nile virus infection 5 years before assessment that resulted in hospitalization and persistent allodynia but was not reported to the research team. During the study, transcranial (TMS) and cervical (CMS) magnetic stimulation were performed before and 30-60 min after a single presentation of AIH [15, …

Decomposition Of Diisopropyl Methylphosphonate (Dimp) Exposed To Elevated Temperatures And Combustion Products Of Reactive Materials, Elif Irem Senyurt

Dissertations

The safe and efficient destruction of chemical weapon agents (CWAs) stockpiles remains a critical global challenge. Understanding the thermophysical properties, decomposition mechanisms, and interactions of CWAs with their environment is crucial for developing effective strategies to mitigate their threats. Diisopropyl methylphosphonate (DIMP) and Dimethyl methylphosphonate are commonly used nerve agent surrogates. This dissertation focuses on DIMP and DMMP, investigates their properties and behavior under conditions relevant to prompt defeat scenarios.

The thermophysical properties of DIMP and DMMP were experimentally characterized, including vapor-liquid surface tension (3-60 °C) and viscosities of neat and aqueous solutions. Results revealed significant non-ideal behavior in aqueous …