Digital Commons Network^™

An Extensive Examination Of The Iot And Blockchain Technologies In Relation To Their Applications In The Healthcare Industry, Karthik Kumar Vaigandla, Madhu Kumar Vanteru, Mounika Siluveru

Mesopotamian Journal of Computer Science

Numerous domains have been transformed by the communication technologies made possible by the Internet of Things (IoT), one of which is health monitoring systems. Patterns associated with diseases and health conditions can be identified through the utilization of machine learning and cutting-edge AI techniques. Currently, scientific endeavours are concentrated on enhancing IoT-enabled applications such as medical report administration, prescription traceability, and infectious disease surveillance through the amalgamation of blockchain technology(BCT) and machine learning(ML) models. Although recent advancements have attempted to increase the adaptability of blockchain(BC) and ML for IoT applications, there are still a number of crucial considerations that must …

New Recruitment Approach Based On Logistic Regression Model, Ishraq Hatif Abd Almajed, Ghalia Nassreddine, Joumana Younis

Mesopotamian Journal of Computer Science

Artificial intelligence (AI) is a pivotal technological advancement developed by humans with the aim of enhancing the quality of human existence.  It signifies the capacity of a computerized machine resembling a robot to execute tasks typically performed by humans and replicate human behavior. Machine learning (ML), a subfield of AI, involves the construction of systems that acquire the ability to make predictions about new output values by leveraging existing data, without the need for human interaction. Currently, ML has been incorporated into various fields, including but not limited to medical diagnosis, image processing, prediction, classification, learning association, commerce, finance, and …

Examining Ghana's National Health Insurance Act, 2003 (Act 650) To Improve Accessibility Of Artificial Intelligence Therapies And Address Compensation Issues In Cases Of Medical Negligence, George Benneh Mensah, Maad M. Mijwil, Mostafa Abotaleb

Mesopotamian Journal of Computer Science

Objective: Examine Ghana’s National Health Insurance Act (Act 650) to identify coverage gaps limiting artificial intelligence (AI) therapy access and address medical negligence liability issues surrounding automated healthcare systems. Methods: Legal and regulatory analysis of Act 650 were conducted, review of academic literature on global uptake of AI interventions and medical negligence principles were elucidated, examination of case studies implementing pilot AI therapy programs under insurance schemes were considered. Results & Conclusions: Act 650 lacks clear provisions for funding innovative AI treatments with proven efficacy and undefined negligence determination guidelines involving AI systems, contributing to accessibility and accountability issues. Proposed …

Data Mining Utilizing Various Leveled Clustering Procedures On The Position Of Workers In A Data Innovation Firm, Hussein Alkattan, Noor Razzaq Abbas, Oluwaseun A. Adelaja, Mostafa Abotaleb, Guma Ali

Mesopotamian Journal of Computer Science

The reason of this paper is to clarify dynamic clustering, the divisive and agglomerative dynamic clustering techniques. It fundamentally centers on the concept of the divisive different leveled shapes as well known as the top-down approach by creating a workflow appear, dendrograms, clustered data table which accumulated the clusters based the chosen property, and appear the isolated between each cluster with the assistance of an data mining device called Python. The DIANA dynamic approach utilized data tests of the list of laborers in a Data Advancement firm to induce clusters from the position column inside the data test table. In …

Deep Learning Model For Hand Movement Rehabilitation, Reem D. Ismail, Qabas A. Hameed, Mustafa Abdulfattah Habeeb, Yahya Layth Khaleel, Fatimah N. Ameen

Mesopotamian Journal of Computer Science

Electroencephalography (EEG) can control machines for human purposes, especially for disabled people doing rehabilitation exercises or regular tasks. Brain-computer interface (BCI) for Robotic hand uses deep learning to convert (EEG) brain activity into orders for robotic hand allowing users to move their hands right or left by the movement imagining. It could enable paralyzed individuals to perform basic hand movements and help in rehabilitation robots that help stroke patients regain hand function by offering guided exercises based on machine learning interpretations of their movements and intents. Artificial intelligence algorithms, particularly deep learning, classify and recognize patterns and intents implicit brainwaves …

Potato Disease Identification Using Transfer Learning Approaches, Tarza Hasan Abdullah

Mesopotamian Journal of Computer Science

Potato crop is one of the prominent consumed foods by human beings. When potato crops are infected by diseases it affects farmers negatively and to run in a loss. Therefore, early detection of the potato crop disease can play a vital role in minimizing the loss of the farmers. Nowadays, artificial intelligence technologies, more specifically deep learning techniques, provide solutions to many crops disease-related problems. However, training deep learning models requires a high computational power and huge amount of data as they are data hungry models. Also, designing a custom CNN models a difficult task and there are some variations …

Enhancing Motion Detection In Video Surveillance Systems Using The Three-Frame Difference Algorithm, Suhaib Qassem Yahya Al-Hashemi, Majid Salal Naghmash, Ahmad Ghandour

Mesopotamian Journal of Computer Science

This paper outlines a methodology for motion detection in video surveillance systems, leveraging advanced algorithms and TCP/IP networks for real-time data acquisition and analysis. The primary focus is on the implementation of the Three-Frame Difference Algorithm, which detects moving targets by analyzing the differences between three consecutive video frames. This method significantly reduces redundant data transmission and storage, addressing the challenges posed by limited wireless network capabilities. The surveillance model, designed in MATLAB using SIMULINK, integrates computer vision systems with embedded coders to facilitate effective communication and processing of video data. The results demonstrate the system's capability to detect motion …

Computer Networking And Cloud-Based Learning/Teaching Environment Using Virtual Labs Tools: A Review And Future Aspirations, Mishall Al-Zubaidie, Raad A. Muhajjar, Lauy Abdulwahid Shihabe

Mesopotamian Journal of Computer Science

Physical laboratories for practical classrooms in computer networks can be prohibitively expensive, as well as requiring regular hardware/software upgrades. With Netkit and similar software, network laboratories can be set up in a computer lab, but the setup is complicated and each student still needs their own computer. Thanks to the Cloud-based infrastructure, Netkit is now available in pre-configured Amazon elastic compute Cloud (EC2) instances. This research reviews and introduces educational computer networks. Furthermore, a web interface is used to allow remote access to numerous lab scripts instantiated on the Cloud. This study also describes how to use the Cloud to …

Credit Card Fraud Detection Based On Deep Learning Models, El-Sayed M. El-Kenawy, Ahmed Mohamed Zaki, Wei Hong Lim, Abdelhameed Ibrahim, Marwa M. Eid, Ahmed Osman Osman, Ahmed M. Elshewey

Mesopotamian Journal of Computer Science

Credit card fraud detection (FD) protects consumers and financial institutions by identifying suspicious or unauthorized transactions. To improve security and reduce false positives, fraud detection systems can analyze transaction data patterns in real time using advanced machine learning (ML) and deep learning (DL). This paper exploits DL models to detects transactional data which includes anomalies through Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU) to verify data and mitigate fraud. The models used precision, recall, F1-score, and AUC on a balanced shared 559856-record Kaggle repository dataset. The RNN model detected anomalies with 99.39% accuracy, 0.9939 …

A Bargaining Theory Of Us-China Economic Rivalry: Differentiating The Trade And Technology Wars, Cathy Xuauxuan Wu

Political Science & Geography Faculty Publications

This article examines the outbreak and persistence of US–China economic war, which comprises both the trade war, featured with retaliatory tariffs, and the technology war, featured with restrictions on Chinese access to US technologies. Building on the analytical framework of bargaining and war, I argue that different components of the economic war emerged from distinct causes. The outbreak of the trade war was primarily driven by the information problem, characterized by mutual uncertainty and the lack of effective communications. The technology war was largely a result of the commitment problem driven by the existing power’s concern regarding potential future changes …

Exploring Manifestations Of Pluriform Love In The Leadership Of Christian Early Childhood Communities: A Phenomenological Study 2019-2024 In New Zealand, Sharon Kaye Judge

Dissertations

Problem

This study responds to the need to explore and/or propose models of leadership for Christian early childhood education and care (ECEC) settings in New Zealand (NZ). While previous studies identify love and care as a priority there is a need to define and prioritize Biblical understandings of love that may align with the principles of the national ECE framework. The study represents an alternative narrative to the neo-liberal influences which dominate areas of ECEC leadership through the marketization and standardization of children’s services nationally and globally.

Purpose of Study

Many factors contribute to the purpose of this study which …

K-Perm: Personalized Response Generation Using Dynamic Knowledge Retrieval And Persona-Adaptive Queries, Kanak Raj, Kaushik Roy, Vamshi Bonagiri, Priyanshul Govil, Krishnaprasad Thirunarayan, Raxit Goswami, Manas Gaur

Publications

Personalizing conversational agents can enhance the quality of conversations and increase user engagement. However, they often lack external knowledge to tend to a user’s persona appropriately. This is particularly crucial for practical applications like mental health support, nutrition planning, culturally sensitive conversations, or reducing toxic behavior in conversational agents. To enhance the relevance and comprehensiveness of personalized responses, we propose using a two-step approach that involves (1) selectively integrating user personas and (2) contextualizing the response with supplementing information from a background knowledge source. We develop K-PERM (Knowledge-guided PErsonalization with Reward Modulation), a dynamic conversational agent that combines these elements. …

Proknow: Process Knowledge For Safety Constrained And Explainable Question Generation For Mental Health Diagnostic Assistance In The Age Of Large Language Models, Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Allen, Amit P. Sheth

Publications

Current Virtual Mental Health Assistants (VMHAs) primarily offer counseling and suggestive care but do not assist with patient diagnosis due to their lack of training in safety-constrained and specialized clinical process knowledge, referred to as ProKnow. In this work, we define ProKnow as an ordered set of information aligned with evidence-based guidelines or categories of conceptual understanding used by domain experts. We also introduce a new dataset of diagnostic conversations guided by safety constraints and Pro- Know, known as ProKnow-data. We develop a method for natural language question generation (NLG) designed to interactively gather diagnostic information from patients, termed ProKnow-algo. …

Dinner At Your Doorstep: Service Innovation Via The Gig Economy On Food Delivery Platforms, Geng Sun, Yeongin Kim, Yinliang (Ricky) Tan, Geoffrey G. Parker

Information Systems Faculty Publications

Boosted by greater demand for convenience and then turbocharged by the coronavirus disease 2019 pandemic, online food delivery (OFD) has witnessed rapid growth over the past several years. Despite such growth, however, it is still unclear how incentives and payoffs of various parties are affected by the three-sidedness of the OFD market, which involves consumers, restaurants, and gig drivers—beyond the traditional two-sided setting. In this paper, we study the OFD platforms’ optimal choices in a competitive setting where the platforms compete on both prices and service quality. Our analysis shows that conventional insights from two-sided platforms do not completely carry …

Growing South Dakota (Winter 2024), College Of Agriculture, Food And Environmental Sciences

Growing South Dakota (Publication of the College of Agriculture, Food and Environmental Sciences)

[Page] 3 Continuing a Leadership Journey
/="/">[Page] 5 CAFES Leadership Team Grows
/="/">[Page] 7 Award-Winning Faculty & Staff
/="/">[Page] 9 New Endowment Holders Recognized
/="/">[Page] 10 Inaugural Precision Livestock Field School Offered at SDSU Cottonwood Field Station
/="/">[Page] 11 SDSU Celebrates Professional Program in Veterinary Medicine Students [Page] 13 Clay Carlson, SDSU Meat Science Graduate Student Approaches School and Life with Winning Mindset
/="/">[Page] 15 SDSU Alumni has been selected as the Head Coach of the South Dakota State University Livestock Judging Team
/="/">[Page] 16 Livestock Units Promote Hands-On Learning & Premier Research …

Setting The Foundation For A Lifetime Of Oral Health, Samuel Blanchard Dds, Ms

The Journal of the Michigan Dental Association

In this Children’s Dental Health Month article, the Michigan Academy of Pediatric Dentistry emphasizes the crucial role of relationships and trust in pediatric dentistry. Highlighting the significance of collaborative efforts between dental societies, the commentary discusses the impact of professional connections on patient care. The author shares personal insights on transitioning in their career, underscoring the value of cultivated relationships. The age-1 dental visit is highlighted as a powerful preventive measure to establish rapport and empower parents with oral health knowledge. The article emphasizes the enduring benefits of building connections in promoting lifelong oral health.

Staying Focused On A Moving Target: Coping With Change, North Shetter Dds

The Journal of the Michigan Dental Association

Amid rapid changes in dentistry, this commentary addresses strategies to manage stress and maintain professional balance. Drawing parallels to Moore's Law in technology, the author emphasizes the need for a balanced life, integrating work, play, love, and worship. The concept, rooted in the Pankey Philosophy, aligns with principles from Stephen Covey's Seven Habits. Core skills, including patient relationships, foundational dental practices, periodontal health, occlusion, and perpetual learning, are deemed essential. The article underscores the importance of personal dental health and advocates for study clubs to share, learn, and mentor, fostering a positive professional environment amid evolving technologies and information overload.

Ada Report: Ada Board Discusses Membership, Looks Ahead To 2024, Michele Tulak-Gorecki Dds

The Journal of the Michigan Dental Association

The ADA Board of Trustees' annual retreat prioritized board development, emphasizing individual strengths and effective communication. Key topics included the Tripartite Membership Model Pilot, a dental school collaboration strategy, and sponsorship for the National Academies of Medicine Oral Health Project. Updates from ADA leaders highlighted initiatives like the Lessons in a Lunchbox program, ADA app improvements, legislative support for young dentists, and workforce solutions. The report concludes with a call to share the ADA story and promote collaboration.

Emphasizing Self-Regulation In Teaching: Reducing Disruption To Students’ Learning During Unplanned Instructional Mode Transition, Somesh Roy, Amber Young-Brice, Jenna Lassila, Brandon Kyle Johnson

College of Nursing Faculty Research and Publications

In Spring 2020, engineering faculty transitioned to emergency remote instruction due to COVID-19. This mixed-methods study was done to understand the correlation between self-regulated learning and how students experienced the emergency transition to remote learning. The participants were from an upper-level engineering course, with 33 students surveyed four times during the semester. Seven students were interviewed after the semester. Findings revealed that during the transition to remote learning, students perceived less change if they had higher degrees of self-regulation. The qualitative analysis also revealed that transparency in learning and teaching also played an important role in students’ perceptions.

Biomass Burning Is A Source Of Modern Black Carbon To Equatorial Atlantic Ocean Sediments, Samuel D. Katz, Roger Patrick Kelly, Rebecca S. Robinson, Frank J. Pavia, Robert Pockalny, Rainer Lohmann

Graduate School of Oceanography Faculty Publications

Black carbon is a refractory form of organic carbon formed from the incomplete combustion of fossil fuels and biomass. Riverine transport is considered the dominant pathway of black carbon to the coastal oceans. However, the provenance and pathways of black carbon to the open ocean remain unknown. Here we use both stable and radiogenic isotopes of carbon to show that sedimentary black carbon across the equatorial Atlantic Ocean is aeolian and primarily derived from biomass burning of C4-plants. Fluxes of surface sedimentary black carbon measured along an equatorial Atlantic Ocean transect using chemothermal oxidation at 375 °C were relatively consistent …

Phytoplankton Thermal Trait Parameterization Alters Community Structure And Biogeochemical Processes In A Modeled Ocean, Stephanie I. Anderson, Clara Fronda, Andrew D. Barton, Sophie Clayton, Tatiana A. Rynearson, Stephanie Dutkiewicz

Graduate School of Oceanography Faculty Publications

Phytoplankton exhibit diverse physiological responses to temperature which influence their fitness in the environment and consequently alter their community structure. Here, we explored the sensitivity of phytoplankton community structure to thermal response parameterization in a modelled marine phytoplankton community. Using published empirical data, we evaluated the maximum thermal growth rates (μmax) and temperature coefficients (Q10; the rate at which growth scales with temperature) of six key Phytoplankton Functional Types (PFTs): coccolithophores, cyanobacteria, diatoms, diazotrophs, dinoflagellates, and green algae. Following three well-documented methods, PFTs were either assumed to have (1) the same μmax and the same Q10 (as in to Eppley, …

A Translated Town? Translation In The Linguistic Landscape Along The Us Border With Mexico, Gabriel González Núñez

Writing and Language Studies Faculty Publications

Cities are the hubs of the modern world and, in border towns between states where different languages are used, these hubs are bilingual. Such bilingual towns offer opportunities to examine the extent to which translation, including the decision not to translate, plays a role in shaping the public spaces of cities. This article seeks to do so by reporting on a linguistic landscape study carried out in Brownsville, a city that sits on the Texas border with Mexico. The study will survey two streets in Brownsville with a special concern for both untranslated and translated signs as a way of …

Education Equity: Music Theory Information Literacy At A Hispanic-Serving Institution (Hsi), Charles Roush, Katrina Roush, Norma Denae Dibrell

School of Music Faculty Publications

No abstract provided.

Expanding Understandings Of Race In Postsecondary Language Classrooms: A Call For Multiraciality In Teacher Identity Research, Marcela Hebbard

Writing and Language Studies Faculty Publications

While issues of race in relation to teacher identity have been addressed in language education research, they have often been confined to special issues. Factors contributing to the “absent-present” nature of race include an imbalanced focus on intersectionality which tends to prioritize the teacher's linguistic identity over other social categories, such as race and the persistent dichotomy between the idealized native speaker and non-native speaker. To broaden the understandings of race in teacher identity research within postsecondary language classrooms, this chapter advocates for considering the notion of multiraciality. To support these arguments, results from a critical discourse analysis (CDA) of …

Latina Voice In Dialogue With Literacy, Xiaodi Zhou

Bilingual and Literacy Studies Faculty Publications

This study follows the literacy experiences of four Latina middle schoolers as they read Harper Lee’s To Kill a Mockingbird and compose home language narratives in their heritage voices. Both their vibrant ethnic cultures and other intersecting rays of identities are analyzed in the vein of their literate identities. Through analysis of their writing and speech, the girls present hybridized identities on the border between cultures and languages. Their position and identities in the social world of middle school are discussed and how transactions with literacy can dialogically influence those identities to enact critically conscious pedagogy.

Documents From The January 31. 2024 Meeting Of The Associated Students Of The University Of Montana (Asum), University Of Montana--Missoula. Associated Students

Senate Meeting Agendas and Minutes, 2007-Present

Agenda and meeting minutes from the January 31, 2024 meeting of the Associated Students of the University of Montana (ASUM).

Documents From The February 28, 2024 Meeting Of The Associated Students Of The University Of Montana (Asum), University Of Montana--Missoula. Associated Students

Senate Meeting Agendas and Minutes, 2007-Present

Agenda and meeting minutes from the February 21, 2024 meeting of the Associated Students of the University of Montana (ASUM).

Documents From The October 9, 2024 Meeting Of The Associated Students Of The University Of Montana (Asum), Associated Students Of University Of Montana

Senate Meeting Agendas and Minutes, 2007-Present

Agenda and meeting minutes from the October 9, 2024 meeting of the Associated Students of the University of Montana (ASUM).

Learning Chinese Vocabulary: Understanding Students' Perspectives, Austin Gasiecki, Zuotang Zhang

The Coastal Review

This study used a survey to investigate self-study and university-enrolled Chinese learners’ habits in studying Chinese vocabulary in order to determine what study methods influence a.) learners’ confidence in learning Chinese vocabulary and b.) what aspects of Chinese vocabulary they consider easy or difficult. We were particularly interested in seeing what the data had to say about students’ attitudes towards characters and the written language, given that the field of Chinese language pedagogy is known for a stronger focus on the written language as opposed to the spoken language. We found that aspects of Chinese vocabulary associated with the spoken …

Between Pain And Glory: Memory Disputes Of The Brazilian Dictatorship In Retrato Calado And O Que É Isso, Companheiro?, Angela R. Mooney

The Coastal Review

This article analyzes Luiz Roberto Salinas Fortes’ Retrato calado (Silent Portrait) published in 1988, considering the theoretical discussions on testimonio's epistemology—addressing the challenge of narrating trauma and the risk of stylization. It compares Fortes' memoir with Fernando Gabeira's O que é isso, companheiro? (What's This, Comrade?) from 1979, examining diverse approaches to capturing historical trauma through literature and its impact on collective memory about Brazilian Dictatorship (1964-1985).