Digital Commons Network^™

From Panels To Shelves: The Evolving Intersection Of Comics And Italian Libraries. History, Issues, Perspectives, Andrea Tosti

SANE journal: Sequential Art Narrative in Education

Despite comics' popularity and cultural significance in Italy, its integration into Italian libraries has been slow, problematic, and uneven. This is reflected in the scarcity of academic research on the topic, which demands further in-depth exploration.

In the context of Italian libraries, characterized by chronic underfunding and staffing shortages, comics might be perceived as a low priority. However, as essential cultural institutions, libraries must strive to reflect both the contemporary era and the evolving reading habits of their audience. Comics, in this regard, could prove to be – and in part already are – a critical resource, a 'booster' for …

Developing And Sustaining A Graphic Scholarship Collection For Academic Libraries, Stewart Brower, Toni Hoberecht, Zane Ratcliffe, Bethie Seay

SANE journal: Sequential Art Narrative in Education

In early 2021, the Schusterman Library at the University of Oklahoma-Tulsa satellite campus took a new step towards building a culture of interest by creating the Graphic Scholarship Collection. This new endeavor is a curated collection of graphic novels, primarily non-fiction, aligned with the academic programs on campus, as well as promoting University initiatives in diversity, equity, and inclusion. A new organizational structure for the collection materials and their circulation metrics will be examined in detail. There will also be consideration of the challenges of selection and acquisition by a mixed team of selectors, some of whom have no experience …

Lanthorn, Vol. 58, No. 10, January 8, 2024, Grand Valley State University

Volume 58, August 7, 2023 - April 15, 2024

Lanthorn is Grand Valley State's student newspaper, published from 1968 to the present. Issue 9 is currently missing from our collection.

The Utah Statesman, January 8, 2024, Utah State University

The Utah Statesman

Weekly student newspaper of Utah State University in Logan.

Faculty Senate Monthly Packet January 2024, Portland State University Faculty Senate

Faculty Senate Monthly Packets

The January 8, 2024 monthly packet includes the January agenda, appendices, and the Faculty Senate minutes and attachments from the meeting held January 8, 2024.

Stevens-Johnson Syndrome From Combined Allopurinol And Angiotensin-Converting Enzyme Inhibitors: A Narrative Review, Isabella M. Fabian, Kirsten Maddox, Cameron Robicheaux, Rahib K. Islam, Ahmed Anwar, Bradley Dorius, Christopher L. Robinson, Adam M. Kaye, Giustino Varrassi, Shahab Ahmadzadeh, Sahar Shekoohi, Alan D. Kaye

School of Pharmacy Faculty Articles

Stevens-Johnson syndrome (SJS) is a severe and potentially debilitating skin reaction frequently related to medication use. Allopurinol and angiotensin-converting enzyme (ACE) inhibitors are commonly prescribed medications for prevalent health conditions worldwide, and their interaction associated with SJS warrants further investigation. A comprehensive literature search was performed to investigate cases as studies related to SJS occurring in patients with concomitant use of allopurinol and ACE inhibitors. We identified case reports and studies detailing hypersensitivity reactions, including SJS, attributed to a combination of allopurinol and ACE inhibitors. Despite the drug-drug interactions or lack thereof seen in patient populations, there is no definitive …

General Education Subcommittee Minutes 12-7-2023, Utah State University

Educational Policies Committee

• Call to Order - Matt Sanders
• Approval of Minutes- November2, 2023
• Course Approvals/Removals/Syllabi Approvals
• New Business
• Additional Items
• Adjourn: 9:26

Caste-Ethnicity Based Disparities In The Labor Market: Evidence From Panel Household Surveys In Nepal, Rajendra Dulal, Shankar Ghimire, Kul Kapri

Pennsylvania Economic Review

This paper examines labor market disparities across various caste-ethnic groups in Nepal using the 2004 and 2011 Nepal Living Standards Survey data. We study annual wage and salary employment to identify the disparities at both the individual and group levels. First, we use panel regression to capture the disparities in wage and employment and then employ the Blinder-Oaxaca decomposition method to identify the determinants of these disparities across various caste-ethnic groups. The results show that individual, household, and caste-ethnicity specific factors are all critical determinants of labor market outcomes. The results indicate education as a key contributor to employment disparities …

Strategies And Resources For Integrating Technology Into The Secondary Education World Language Classroom, Angelina M. Bauer

Masters Projects

This document is a research-based project that includes a reference manual of strategies for technology integration in the World Language curriculum, as well as an example lesson plan that implements many of the strategies. Many of the strategies and examples can be adapted to fit multiple subject areas. The theoretical framework upon which the project is constructed is a combination of TPACK and several of Stephen Krashen's Theories of Second Language Acquisition.

Episode 7: Strange Bedfellows, Sara Gras

Season 01

In this episode I explore the various factions who, despite their different general ideologies, have united in advocating for the exclusion of trans kids from sports. My guests and I discuss why this presents such a challenge when working to educate and advocate around this issue. I also provide some additional details on one of the largest and most powerful organizations supporting exclusion.

Erin Buzuvis (Faculty Profile)
Associate Dean for Academic Affairs and Professor of Law, Western New England School of Law

Kurt Weaver
Executive Director, You Can Play Project

Shira Berkowitz (Organizational Bio)
Senior Director …

Design And Development Of Iot-Enabled Power Management System For Smart Home With Enhanced Security Feature, Indu Bala, Bhukya Arun Kumar

Iraqi Journal for Computer Science and Mathematics

This article presents a proposed architecture for a smart and secure home automation system that incorporates advanced Internet of Things (IoT) capabilities. The system under consideration has been developed with the objective of maximizing the efficiency of power consumption in domestic electrical appliances. By employing a continuous monitoring mechanism for the power consumption of individual devices, this system serves the twin purpose of mitigating the risk of short circuits resulting from excessive electrical loads and enabling users to monitor the energy consumption of each appliance. Consequently, it facilitates the efficient management of billing processes. The proposed model utilizes Internet of …

Healthcare Privacy-Preserving Federated Transfer Learning Using Ckks-Based Homomorphic Encryption And Pyhfeltool, Anmar A. Al-Janabi, Sufyan Al Janabi, Belal Al Khateeb

Iraqi Journal for Computer Science and Mathematics

Digitization of healthcare data has shown an urgent necessity to deal with privacy concerns within the fieldof deep learning for healthcare organizations. A promising approach is federated transfer learning, enabling medical institutions to train deep learning models collaboratively through sharing model parameters rather than raw data. The objective of this research is to improve the current privacy-preserving federated transfer learning systems that use medical data by implementing homomorphic encryption utilizing PYthon for Homomorphic Encryption Libraries (PYFHEL). The study leverages a federated transfer learning model to classify cardiac arrhythmia. The procedure begins by converting raw Electrocardiogram (ECG) scans into 2-D ECG …

Automatic Temperature Control System Using African Vultures Optimization Algorithm, Mostafa Abdulghafoor Mohammed, Muntadher Khamees, Dina Hassan Abbas

Iraqi Journal for Computer Science and Mathematics

One of the most important tasks in control engineering is tuning a PID controller for maximum efficiency. However, without a great deal of practice, manual adjustment of PID settings might result in erroneous results. Using met heuristic algorithms is one method for tweaking the PID controller. These algorithms, which are inspired bythe laws of nature, can effectively find the sweet spot for the PID settings. Therefore, instead of manually tweaking the PID controller, using met heuristic methods can greatly enhance the system's performance while decreasing the related expenses. A reliable temperature control system is crucial to the production of a …

Enhanced Cancer Subclassification Using Multi-Omics Clustering And Quantum Cat Swarm Optimization, Mazin Abed Mohammed, Ali Mahmoud Ali

Iraqi Journal for Computer Science and Mathematics

Integrating multiple omics data can significantly improve the accuracy of cancer subclassification, a challenging task due to the high dimensionality and limited sample sizes. The integration of these data sets can enhance model performance. This study addresses these challenges by employing Quantum Cat Swarm Optimization (QCSO) for feature selection, along with K-means clustering and Support Vector Machine (SVM) for classification. Using QCSO, the most significant features were identified, resulting in an increase in accuracy from 81% to100%. Performance was evaluated using accuracy, F1-score, precision, recall, ROC, and the silhouette metric, all of which confirmed the effectiveness of the feature selection …

Designing And Implementing An Ecg Reader And Heart Disease Classification Device Using Deep Learning (Comprehensive Review), Ghasaq Saad Jameel, M N. Al-Turfi, Dr. Hussain Falih Mahdi, Saba Nasser Hussain

Iraqi Journal for Computer Science and Mathematics

Cardiovascular cases remain a significant health care concern, necessitating new development methods for their prompt and accurate identification where a promising advancements is demonstrated using Deep Learning (DL) in automating heart anomalies detection, including irregular heartbeats, heart attacks, and abnormal heart rhythms, through the analysis of electrocardiogram (ECG) signals, which guided this article to explore the integration of DL methodologies in examining ECG data to enhance the diagnosis of various cardiac ailments and delves into the development of novel ECG devices designed to facilitate efficient data acquisition while ensuring patient comfort and accessibility.The devices used must provide real-time monitoring, seamless …

Faculty Senate Agenda January 8, 2024, Utah State University

Faculty Senate & Faculty Senate Executive Committee

• 3:00 Call to Order
• 3:05 University Business
• 3:20 Faculty Senate Business
• 3:30 Information

• 3:35 Reports

• 4:00 Old Business

• 4:05 New Business

• Adjourn: 4:30

Associations Between Coordination And Wearable Sensor Variables Vary By Recording Context But Not Assessment Type, Jeffrey D Konrad, Natasha Marrus, Keith R Lohse, Kayla M Thuet, Catherine E Lang

2020-Current year OA Pubs

Motor coordination is an important driver of development and improved coordination assessments could facilitate better screening, diagnosis, and intervention for children at risk of developmental disorders. Wearable sensors could provide data that enhance the characterization of coordination and the clinical utility of that data may vary depending on how sensor variables from different recording contexts relate to coordination. We used wearable sensors at the wrists to capture upper-limb movement in 85 children aged 6-12. Sensor variables were extracted from two recording contexts.

Gene-Sgan: Discovering Disease Subtypes With Imaging And Genetic Signatures Via Multi-View Weakly-Supervised Deep Clustering, Zhijian Yang, John C Morris, Pamela Lamontagne, Daniel S Marcus, Tammie L S Benzinger, Et Al.

2020-Current year OA Pubs

Disease heterogeneity has been a critical challenge for precision diagnosis and treatment, especially in neurologic and neuropsychiatric diseases. Many diseases can display multiple distinct brain phenotypes across individuals, potentially reflecting disease subtypes that can be captured using MRI and machine learning methods. However, biological interpretability and treatment relevance are limited if the derived subtypes are not associated with genetic drivers or susceptibility factors. Herein, we describe Gene-SGAN - a multi-view, weakly-supervised deep clustering method - which dissects disease heterogeneity by jointly considering phenotypic and genetic data, thereby conferring genetic correlations to the disease subtypes and associated endophenotypic signatures. We first …

24 Conference Program - Innovative Materials & Methods For Additive Manufacturing Ii (Im²Am), Daniel Schmidt, Nikhil Gupta, Eric Eastwood, Brett Compton, Gary Gladysz

Innovative Materials & Methods for Additive Manufacturing II (IM²AM)

No abstract provided.

Achieving Reliable Patient Reported Outcomes Collection To Measure Health Care Improvement In A Learning Health Network: Lessons From Pediatric Rheumatology Care And Outcomes Improvement Network., Nancy Pan, Esi M. Morgan, Meghan Ryan, Beth Gottlieb, Julia G. Harris, Tzielan Lee, Y Ingrid Goh

Manuscripts, Articles, Book Chapters and Other Papers

INTRODUCTION: Data from the Pediatric Rheumatology Care and Outcomes Improvement Network (PR-COIN) registry suggests that reliable collection of patient-reported outcomes (PROs) varies across sites. The objective of this study was to better understand the practices of collecting PROs at PR-COIN sites.

METHODS: A REDCap survey was sent to the lead representative for each PR-COIN site. Registry data were analyzed to better understand the completion rates of PROs. Interviews of physician leaders of high performing sites were conducted by videoconference, audiotranscribed and themes were summarized. Quantitative data were analyzed using descriptive statistics and qualitative data were thematically analyzed.

RESULTS: All 23 …

Stevens-Johnson Syndrome From Combined Allopurinol And Angiotensin-Converting Enzyme Inhibitors: A Narrative Review, Isabella M. Fabian, Kirsten Maddox, Cameron Robicheaux, Rahib K. Islam, Ahmed Anwar, Bradley Dorius, Christopher L. Robinson, Adam M. Kaye, Giustino Varrassi, Shahab Ahmadzadeh, Sahar Shekoohi, Alan D. Kaye

School of Medicine Faculty Publications

Stevens-Johnson syndrome (SJS) is a severe and potentially debilitating skin reaction frequently related to medication use. Allopurinol and angiotensin-converting enzyme (ACE) inhibitors are commonly prescribed medications for prevalent health conditions worldwide, and their interaction associated with SJS warrants further investigation. A comprehensive literature search was performed to investigate cases as studies related to SJS occurring in patients with concomitant use of allopurinol and ACE inhibitors. We identified case reports and studies detailing hypersensitivity reactions, including SJS, attributed to a combination of allopurinol and ACE inhibitors. Despite the drug-drug interactions or lack thereof seen in patient populations, there is no definitive …

The Million Veteran Program 1990-1991 Gulf War Era Survey: An Evaluation Of Veteran Response, Characteristics, And Representativeness Of The Gulf War Era Veteran Population, Kelly M Harrington, Rachel Quaden, Lea Steele, Drew A Helmer, Elizabeth R Hauser, Sarah T Ahmed, Mihaela Aslan, Krishnan Radhakrishnan, Jacqueline Honerlaw, Xuan-Mai T Nguyen, Sumitra Muralidhar, John Concato, Kelly Cho, J Michael Gaziano, Stacey B Whitbourne, On Behalf Of The Va Million Veteran Program

Center for Medical Ethics and Health Policy Staff Publications

To address gaps in understanding the pathophysiology of Gulf War Illness (GWI), the VA Million Veteran Program (MVP) developed and implemented a survey to MVP enrollees who served in the U.S. military during the 1990–1991 Persian Gulf War (GW). Eligible Veterans were invited via mail to complete a survey assessing health conditions as well as GW-specific deployment characteristics and exposures. We evaluated the representativeness of this GW-era cohort relative to the broader population by comparing demographic, military, and health characteristics between respondents and non-respondents, as well as with all GW-era Veterans who have used Veterans Health Administration (VHA) services and …

Gut Epithelial Interleukin-17 Receptor A Signaling Can Modulate Distant Tumors Growth Through Microbial Regulation, Vidhi Chandra, Le Li, Olivereen Le Roux, Yu Zhang, Rian M Howell, Dhwani N Rupani, Seyda Baydogan, Haiyan D Miller, Erick Riquelme, Joseph Petrosino, Michael P Kim, Krishna P L Bhat, James R White, Jay K Kolls, Yuliya Pylayeva-Gupta, Florencia Mcallister

Faculty, Staff and Student Publications

Microbes influence cancer initiation, progression and therapy responsiveness. IL-17 signaling contributes to gut barrier immunity by regulating microbes but also drives tumor growth. A knowledge gap remains regarding the influence of enteric IL-17-IL-17RA signaling and their microbial regulation on the behavior of distant tumors. We demonstrate that gut dysbiosis induced by systemic or gut epithelial deletion of IL-17RA induces growth of pancreatic and brain tumors due to excessive development of Th17, primary source of IL-17 in human and mouse pancreatic ductal adenocarcinoma, as well as B cells that circulate to distant tumors. Microbial dependent IL-17 signaling increases DUOX2 signaling in …

Physics 100 Level Laboratory Data Collection Tables, Kalani Hettiarachchilage

Open Educational Resources

The physics 100-level laboratory part demonstrates and applies the material learned from related classes. This document shows guidelines for collecting data and analyzing them by using Microsoft Excel. Laboratory components of PHY 114/ PHY 206/SLS 261 (Introduction to Physics and Nature of Physical Processes), PHY116/PHY 121 (Physics I and General Physics I), and PHY 156/PHY 161 (Physics II and General Physics II) at College of Staten Island are in-person mandatory sessions for students and it is required to pass to receive a passing grade for that class. This part is taught by different instructors. Although everyone is supposed to follow …

Training Data Augmentation With Data Distilled By Principal Component Analysis, Nikolay Metodiev Sirakov, Tahsin Shahnewaz, Arie Nakhmmani

Faculty Publications

This work develops a new method for vector data augmentation. The proposed method applies principal component analysis (PCA), determines the eigenvectors of a set of training vectors for a machine learning (ML) method and uses them to generate the distilled vectors. The training and PCA-distilled vectors have the same dimension. The user chooses the number of vectors to be distilled and augmented to the set of training vectors. A statistical approach determines the lowest number of vectors to be distilled such that when augmented to the original vectors, the extended set trains an ML classifier to achieve a required accuracy. …

Various Closed-Form Solitonic Wave Solutions Of Conformable Higher-Dimensional Fokas Model In Fluids And Plasma Physics, Mohammad A. Tashtoush, Israa A. Ibrahim, Wafaa M. Taha, Mizal H. Dawi, Ali F. Jameel, Emad A. Az-Zo’Bi

Iraqi Journal for Computer Science and Mathematics

This work focuses on finding closed-form analytic solutions of a higher-dimensional fractional model, in conformable sense, known by the (4+1)-dimensional Fokas equation. Fractional partial differential equations(FPDEs)and systemscan describe heritable real-world occurrences. However, solving such modelscan be difficult, especially for nonlinearproblems. The homogeneous balancing method (HBM) is investigated and extended to handle the (4+1)-dimensional Fokas equation with Kerr law nonlinearity.The HBM has theability to solve linear and nonlinear fractional problems,incorporatingthe concepts of some fractional calculus principles, including fractional derivative techniques. It's important to note that there isn't a singleanduniversally applicable method to solve such equations due to their complexity. The specific …

Enhancing Wireless Sensor Networks Features Using Software-Defined Networking Techniquesand Aco Algorithms, Ghassan A. Abed

Iraqi Journal for Computer Science and Mathematics

Wireless sensor networks (WSNs) are the most important networks for things such as monitoring natural phenomena, agriculture, health care, and so on. There are several challenges associated with using WSNs,the most important of which areenergy consumption, expansion issues, or even datarouting issues.There are many techniques and algorithms that can address these challengesand make it easier to useWSNs. These techniques and algorithms vary depending on the challenge to be overcome. In this study, Software Defined Network (SDN) technology was used for the purpose of improving WSNs and saving energy for nodes in those networks. TheAnt Colony Optimization (ACO) algorithm, which is …

Job Demands Experienced By South Carolina Teachers In 2023, Angela Starrett

Infographics

This info-brief analyzes the daily challenges teachers face most impacting their effectiveness, satisfaction, and ability to remain in the profession. Using data and perspectives from the 2023 SC Teacher Working Conditions Survey and guidance from the Proviso 1.114 Task Force Report, we’re learning more about teachers’ highest concerns and revising the survey to better understand teacher experiences.

The Impact Of Taxpayer Awareness, Tax Service Quality, Tax Counseling, And Tax Sanctions On Individual Taxpayer Compliance, Agus Sagita Manurung, Kenny Ardillah

Journal of Accounting Auditing and Business

This study aims to examine the effect of taxpayer awareness, tax service quality, taxpayer counseling, and tax sanctions on individual taxpayer compliance at the Pulo Gadung Pratama Tax Service Office. The independent variables in this study are taxpayer awareness, tax service quality, taxpayer counseling, and tax sanctions, while the dependent variable is individual taxpayer compliance. The research population is in Pulogadung with a total sample of 100 individual taxpayers. This study uses primary data and simple random sampling method. The results of this study show that taxpayer awareness, tax service quality, tax counseling, and tax sanctions have a positive effect …

Prompt Engineering: Unleashing The Power Of Largelanguage Models To Defend Against Social Engineering Attacks, Prof. Bashar M. Nema, Ahmed I. Nezer, Wisam Makki Salim

Iraqi Journal for Computer Science and Mathematics

Prompt Engineering is an emerging area of study that pertains tothe act of conceptualizing, perfecting, and executing prompts that guide an AI model to an intended purpose. The AI model is an LLM, which they are the “hit” of our time and probably the controversial type of AI. They are capable of executing several tasks using natural language processing algorithms. Due to their ease of use and fast development, they are becoming highly dependent. We found that to interactcorrectly with these models and gain the best performance, several techniques should be taken into consideration. Moreover, there are additional methods or …