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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 …

Electrical Tuning Of Quantum Light Emitters In Hbn For Free Space And Telecom Optical Bands, Akbar Basha Dhu-Al Shaik, Penchalaiah Palla, David Jenkins

School of Engineering, Computing and Mathematics

Quantum light emitters (also known as single photon emitters) are known to be the heart of quantum information technologies. Irrespective of possessing ideal single photon emitter properties, quantum emitters in 2-D hBN defect structures, exhibit constrained quantum light emission within the 300–700 nm range. However, this emission range cannot fully satisfy the needs of an efficient quantum communication applications such as quantum key distribution (QKD), which demands the quantum light emission in fiber optic telecom wavelength bands (from 1260 to 1625 nm) and the free space optical (FSO) (UV-C-solar blind band—100 to 280 nm) wavelength ranges. Hence, there is a …

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

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 …

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 …

Mobile Augmented Reality Framework In Stem Education: A Systematic Literature Review, Danakorn Nincarean Eh Phon, Nur Fatin Razlieya Binti Mohd Razali

Iraqi Journal for Computer Science and Mathematics

There is a growing concern with preparing a sufficient numberof highly qualified professional in areas of Science, Technology, Engineering and Mathematics (STEM). However, the number of students to reach proficiency and pursue in STEM majors seems to be decreasing. Augmented Reality (AR) is one of the evolving technologies that have potential and effect on learning, especially in STEM education. The aim of this paper is to review and analyzeexisting works that are related to AR in STEM Education. In this study, the common design elements, components or features fordesigning educational AR framework in STEM education were analyzed. This paper determined …

A Novel Deep Learning Approach For Classification Of Bird Sound Using Mel Frequency Cepstral Coefficients, Aymen Saad, Muhammad Mun’Im Ahmad Zabidi, Israa S. Kamil, Usman Ullah Sheikh

Iraqi Journal for Computer Science and Mathematics

Monitoring animal populationsis one important matter to better understand changes in their population, behavior, and biodiversity. Bird sounds are the main tool to classify bird species acoustically. The sounds of birds are an indicator for ecologists as it responds to changes in their environment. The recognition among a variety of bird species to get important features is computationally expensive. With the unbalanced classes and scarcity of training data, the performance accuracy is degrading.This paper aims to classify species ofbirds using lightweight convolutional neural networks (LWCNNs) basis on using a spectrogram image of Brazilian bird sounds as a dataset. For extracting …

Hybrid Honey Badger Algorithm With Artificial Neural Network(Hba-Ann)For Website Phishing Detection, Muhammad Arif Mohamad, Muhammad Aliif Ahmad, Zuriani Mustaffa

Iraqi Journal for Computer Science and Mathematics

Phishing is a sort of cyberattack that refers to the practice of fabricating fake websites that imitate authentic websites in order to trick users into disclosing private information. Identifying these fake sites is challenging due to their deceptive nature as they often mimic legitimate websites, making it difficult for users to distinguish between the real and fake ones. Artificial Neural Network (ANN) is one popular method for website phishing detection. ANN is capable of detecting phishing websites by identifying patterns and characteristics connected to phishing websites through a network training phase. Technically, in the network training phase of ANN, neurons …

Adaptive Heterogeneity Index Cloudlet Scheduler For Variable Workload And Virtual Machine Configuration, D Gritto, P Muthulakshmi

Iraqi Journal for Computer Science and Mathematics

Cloud environments often exhibit varying levels of heterogeneity arising from the diverse characteristics of cloudlets and virtual machines. This research paper focuses on addressing this heterogeneity and proposes two scheduling algorithms: the Variance Managed Heuristic Scheduler (VMHS) and theAdaptive Heterogeneity Index Cloudlet Scheduler (AHICS). AHICS aims to minimize makespan, virtual machine underutilization, the degree of load imbalance, and the deviation of completion time among virtual machines. AHICS serves as the main scheduler, while VMHS and MaxMin function as sub-schedulers in this proposed work. This multi-objective AHICS scheduling algorithm harnesses the strengths of both schedulers. AHICS adaptively selects either VMHS or …

Improving Security In The 5g-Based Medicalinternet Of Things Toimprove The Qualityofpatient Services, Israa Ibraheem Al_Barazanchi, Kholood J. Moulood, Muneer Sameer Gheni Mansoor, Jamal Fadhil Tawfeq

Iraqi Journal for Computer Science and Mathematics

The Internet of Medical Things (IoMT) is like a tech upgrade that benefits patients by reducing healthcare costs, making medical care more accessible, and improving the quality of treatment. To make IoMT devices smart and capable, they need super-fast 5G support. However, there are security concerns when using IoMT devices that can put a patient's data and privacy at risk. For instance, someone could eavesdrop on your medical data due to weak network access management and data encryption.Many systems use encryption methods to protect data, but these methods often fall short when it comes to the high security standards required …

Kratom (Mitragyna Speciosa) Leaf Ethanol Extract Showed In Vivo Analgesic Activity, Rahmad A. Prasetya, Tri P. L Sidarwati

Pharmacology and Clinical Pharmacy Research

Analgesic drugs like morphine and other opioids exhibit several harmful effects. Thus, the exploration of a new and safer analgesic drug is necessary. Utilizing Indonesia's biodiversity richness, medicinal plants can serve as an alternative source of novel analgesic drugs. Here, we show the analgesic activity of Kratom (Mitragyna speciosa) leaf ethanol extract (KE) in formaldehyde-induced rat (Rattus norvegicus) models. The effect of KE was examined by observing the duration of spontaneous nociceptive behavior such as paw licking or limp leg. The result showed that rats treated with 70 mg/kg KE demonstrated significantly (p<0.01) decreased nociceptive behavior compared to those receiving vehicles. However, a higher KE dose (210 mg/kg) failed to increase the analgesic effect and showed a slight reduction (not significant) compared to the control group. These findings proved that kratom leaf ethanol extract has the potential to alleviate painful conditions.

Pharm-Care Tadulako®: Web-Based Design Application To Improve Pharmaceutical Care Services, Muhammad Faisal, Nuryani Syarifuddin, Rani Purwanti, Putri Natasya, Serli Serli, Yusriadi Yusriadi, Miski A. Khairinisa

Pharmacology and Clinical Pharmacy Research

Pharmaceutical services recently require new ideas and innovation to provide maximum benefit concerning the pharmacological treatments of patients and taking responsibility for the process of monitoring their therapy. One of the efforts proposed to be implemented by pharmacists is the pharmaceutical care program which is designed to ensure pharmacists are able to monitor safe and effective medication use and also to provide timely access to medicines for the population. Moreover, the application of eHealth in terms of technology is expected to be effective, networked, patient-centered, and accessible for patients. Therefore, Pharm-Care Tadulako® which is a personalized eHealth application designed with …