Physical Sciences and Mathematics Commons^™

Prediction Of Body Fat Percentage Based On Anthropometric Measurements Using Data Mining Approach, Hamsa Amro, Prof. Mohammed Awad

Journal of the Arab American University مجلة الجامعة العربية الامريكية للبحوث

In recent years, heart disease, diabetes, and some types of cancers have been reported as some main causes of death in most countries of the world, and obesity, which is often attributed to excess body fat, is one of the most common risk factors for these diseases. To make the vast amounts of data produced by health care information systems useful to the potential, the researchers applied knowledge discovery through predictive modeling. This study used anthropometric measurements as input data to different data mining techniques to predict body fat percentage. Fisher’s Method of Scoring was used to select the most …

Application Of Competitive Intelligence For Insular Territories: Automatic Analysis Of Scientific And Technology Trends To Fight The Negative Effects Of Climate Change, Henri Dou, Pierre Fournie

International Journal of Islands Research

Islands are fragile territories because of their geographical position. As a result, climate impacts can have serious consequences, of which some are irreversible. Therefore, it is necessary to allow insular territories to benefit from the latest scientific and technological advances in combating climate effects. The current article shows how to deal with automatic analysis of scientific information on the one hand, but also its applications via patents. We will analyse the latest scientific results as well as their possible applications using patent analysis. We will also focus on experts, laboratories, and leading companies, that are active on the field. The …

Deep Convolutional Neural Networks For Accurate Diagnosis Of Covid-19 Patients Using Chest X-Ray Image Databases From Italy, Canada, And The Usa, Amgad A. Salama, Samy H. Darwish, Samir M. Abdel-Mageed, Radwa A. Meshref, Ehab I. Mohamed

The University of Louisville Journal of Respiratory Infections

Introduction: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), famously known as COVID-19, has quickly become a global pandemic. Chest X-ray (CXR) imaging has proven reliable, fast, and cost-effective for identifying COVID-19 infections, which proceeds to display atypical unilateral patchy infiltration in the lungs like typical pneumonia. We employed the deep convolutional neural network (DCNN) ResNet-34 to detect and classify CXR images from patients with COVID-19 and Viral Pneumonia and Normal Controls.

Methods: We created a single database containing 781 source CXR images from four different international sub-databases: the Società Italiana di Radiologia Medica e Interventistica (SIRM), the GitHub Database, the …

Clinical Diagnosis Support With Convolutional Neural Network By Transfer Learning, Spencer Fogleman, Jeremy Otsap, Sangrae Cho

SMU Data Science Review

Breast cancer is prevalent among women in the United States. Breast cancer screening is standard but requires a radiologist to review screening images to make a diagnosis. Diagnosis through the traditional screening method of mammography currently has an accuracy of about 78% for women of all ages and demographics. A more recent and precise technique called Digital Breast Tomosynthesis (DBT) has shown to be more promising but is less well studied. A machine learning model trained on DBT images has the potential to increase the success of identifying breast cancer and reduce the time it takes to diagnose a patient, …

Machine Learning Approach To Distinguish Ulcerative Colitis And Crohn’S Disease Using Smote (Synthetic Minority Oversampling Technique) Methods, Kris Ghimire, Walter Lai, Yasser Omar, Thad Schwebke, Jamie Vo

SMU Data Science Review

Irritable Bowel Disease (IBD) affects a sizable portion of the US population, causing symptoms such as vomiting, abdominal pain, and diarrhea. Despite the disease’s prevalence, the precise cause is not fully understood. This study consists of endoscopic and histological data from patients diagnosed with IBD and a control population for reference. The machine learning models' focus is to classify patients into IBD types. Several models were analyzed, including decision trees, logistic regression, and k-nearest neighbors. In addition, various methods of SMOTE were applied to determine the most effective transformation and ensuring that the dataset is balanced. The best model with …

(R1468) Global Analysis Of An Seirs Model For Covid-19 Capturing Saturated Incidence With Treatment Response, David A. Oluyori, Helen O. Adebayo, Ángel G.C. Pérez

Applications and Applied Mathematics: An International Journal (AAM)

In this work, a new SEIRS model with saturated incidence rate and piecewise linear treatment response is proposed to describe the dynamics of COVID-19. It is assumed that the treatment response is proportional to the number of infected people as long as the incidence cases are within the capacity of the healthcare system, after which the value becomes constant, when the number of confirmed cases exceeds the carrying capacity of the available medical facilities. Thus, the basic reproduction number of the model is obtained. It is proved that the disease-free equilibrium is globally asymptotically stable when the basic reproduction number …

(R1412) Stability And Bifurcation Of A Cholera Epidemic Model With Saturated Recovery Rate, Huda Abdul-Satar, Raid K. Naji

Applications and Applied Mathematics: An International Journal (AAM)

In this paper, a Cholera epidemic model is proposed and studied analytically as well as numerically. It is assumed that the disease is transmitted by contact with Vibrio cholerae and infected person according to dose-response function. However, the saturated treatment function is used to describe the recovery process. Moreover, the vaccine against the disease is assumed to be utterly ineffective. The existence, uniqueness and boundedness of the solution of the proposed model are discussed. All possible equilibrium points and the basic reproduction number are determined. The local stability and persistence conditions are established. Lyapunov method and the second additive compound …

Comparison Of Multiple Imputation Algorithms And Verification Using Whole-Genome Sequencing In The Cmuh Genetic Biobank, Ting-Yuan Liu, Chih-Fan Lin, Hsing-Tsung Wu, Ya-Lun Wu, Yu-Chia Chen, Chi-Chou Liao, Yu-Pao Chou, Dysan Chao, Hsing-Fang Lu, Ya-Sian Chang, Jan-Gowth Chang, Kai-Cheng Hsu, Fuu‑Jen Tsai

BioMedicine

A genome-wide association study (GWAS) can be conducted to systematically analyze the contributions of genetic factors to a wide variety of complex diseases. Nevertheless, existing GWASs have provided highly ethnic specific data. Accordingly, to provide data specific to Taiwan, we established a large-scale genetic database in a single medical institution at the China Medical University Hospital. With current technological limitations, microarray analysis can detect only a limited number of single-nucleotide polymorphisms (SNPs) with a minor allele frequency of >1%. Nevertheless, imputation represents a useful alternative means of expanding data. In this study, we compared four imputation algorithms in terms of …

Copycat Mass Killings: How Personality Might Moderate Identification With Antisocial Characters, Emily R. Mazzurco

Kean Quest

Research indicates that certain personality traits are prevalent within mass killers. Aggression, social rejection, narcissism, fame-seeking, low self-esteem, and depression are commonalities with mass killers, specifically mass shooters. Identification or idolizing antisocial fictional characters is also a common behavior within these types of offenders. These types of killers often draw inspiration for their own crimes from past criminals or from film and TV, thus committing what is known as a copycat crime. The purpose of the current study will be to examine the effects of social rejection and instigation on the likelihood of identifying with an antisocial character in young …

Critical Pedagogy In The Time Of Covid-19: Lessons Learned, Carol Christine Hordatt Gentles

Journal of Multicultural Affairs

The abrupt closure of universities due to the coronavirus pandemic caused unprecedented challenges for educators. They struggled to transition to online teaching almost overnight. This has raised questions about the readiness of Higher Education for digitalisation and hybridization of learning environments and focused attention on the renewal of teaching and learning models. It is incumbent upon those who practise critical pedagogy to join this conversation; the mandatory transition has raised difficult questions around how to ensure continuity of an agenda to offer students humanistic and democratic learning experiences in the new virtual reality. In this paper I offer a critical …

Book Review: The Death Project: An Anthology For These Times, Ted D. Ayres

Journal of Multicultural Affairs

A book review of The Death Project: An Anthology for These Times.

Ted Ayres, Social Justice And Education Advocate: "Making It Count" With Book Reviews, Kristen P. Erdem

Journal of Multicultural Affairs

This is an interview article with a prolific reviewer of books seen on public television and in print. Ted Ayres had an inspired legal career, and his advocacy continues to this day. The year 2020, like no other year in our recent U.S. history, was a raucous reckoning for an array of social justice issues. As this theme continues in 2021, it is heartwarming getting to know a quiet advocate in our midst. Meet Ted Ayres. Ayres will be a contributor to the journal with book reviews. This is an introduction to the person, Ted Ayres as social justice and …

How The Common School Has Failed Hispanic Children—Witnessing The Severe Regression Of Language English Proficient Learners During A Pandemic: Teaching During Covid-19, Yvonne S. Herrera

Journal of Multicultural Affairs

Personal reflection on the impacts of the common school on Hispanic children during the COVID-19 pandemic, when Hispanic children experienced less opportunities in becoming educated due to lack of accessible technology.

Overview: From The Desk Of The Guest Editor, Tonya Huber

Journal of Multicultural Affairs

Overview from the Guest Editor on this special issue on the impacts of Covid-19 in educational settings. One theme explored in the contents of this issue is the powerlessness many educators felt as the editors set out to hear, comprehend, represent, and amplify their experiences. Other themes include: appreciation and empathy, focusing on what matters, and new ways of teaching with technology.

Using Adaptive Research Design To Define The Proper Methodology To Use A Data Peek For Power: Step By Step Process, Tom Wasser

Advances in Clinical Medical Research and Healthcare Delivery

When planning or conducting research in the hospital setting, often termed Real-World Environment (RWE), therapeutic assumptions and outcomes are often different than in the Randomized Clinical Trial (RCT) where medications, devices and therapies are tested and developed. This is because RWE research has a lack of experimental control, additional confounding due to patient complications and comorbid conditions, lack of pure patient selection and compliance with therapy in the patients being treated and many other factors as well. However, when RWE experiments are conducted, sample size determination using data from the RCT is common because that is the only data that …

The Ratio Method: Addressing Complex Tort Liability In The Fourth Industrial Revolution, Harrison C. Margolin, Grant H. Frazier

St. Mary's Law Journal

Emerging technologies of the Fourth Industrial Revolution show fundamental promise for improving productivity and quality of life, though their misuse may also cause significant social disruption. For example, while artificial intelligence will be used to accelerate society’s processes, it may also displace millions of workers and arm cybercriminals with increasingly powerful hacking capabilities. Similarly, human gene editing shows promise for curing numerous diseases, but also raises significant concerns about adverse health consequences related to the corruption of human and pathogenic genomes.

In most instances, only specialists understand the growing intricacies of these novel technologies. As the complexity and speed of …

The Effects Of Environmental Copper Exposure On The Behavior And Morphology Of Developing Zebrafish, Christina Kaucic

The Journal of Purdue Undergraduate Research

No abstract provided.

Epidemic Conditions With Temporary Link Deactivation On A Network Sir Disease Model, Hannah Scanlon, John Gemmer

Spora: A Journal of Biomathematics

The spread of an infectious disease depends on intrinsic properties of the disease as well as the connectivity and actions of the population. This study investigates the dynamics of an SIR type model which accounts for human tendency to avoid infection while also maintaining preexisting, interpersonal relationships. Specifically, we use a network model in which individuals probabilistically deactivate connections to infected individuals and later reconnect to the same individuals upon recovery. To analyze this network model, a mean field approximation consisting of a system of fourteen ordinary differential equations for the number of nodes and edges is developed. This system …

Professional Responsibility, Legal Malpractice, Cybersecurity, And Cyber-Insurance In The Covid-19 Era, Ethan S. Burger

St. Mary's Journal on Legal Malpractice & Ethics

In response to the COVID-19 outbreak, law firms conformed their activities to the Centers for Disease Control and Prevention (CDC), Occupational Safety and Health Administration (OSHA), and state health authority guidelines by immediately reducing the size of gatherings, encouraging social distancing, and mandating the use of protective gear. These changes necessitated the expansion of law firm remote operations, made possible by the increased adoption of technological tools to coordinate workflow and administrative tasks, communicate with clients, and engage with judicial and governmental bodies.

Law firms’ increased use of these technological tools for carrying out legal and administrative activities has implications …

Table Of Contents

Journal of the South Carolina Academy of Science

No abstract provided.

The Effect Of Poverty Levels And Minority Percentages On Lead Content In South Carolina Midlands School Drinking Water, Kathleen L. Barfield

Journal of the South Carolina Academy of Science

No abstract provided.

2021 Scas Annual Meeting Program And Bulletin

Journal of the South Carolina Academy of Science

No abstract provided.

Applications Of Bayesian Inference For Modelling Dynamic Instability In Neuronal Dendrite Morphogenesis, Daniel Fridman

The Yale Undergraduate Research Journal

Neurons are complex biological systems which develop intricate morphologies and whose dendrites are essential in receiving and integrating input signals from neighboring neurons. While much research has been done on the role of dendrites in neuronal development, a further understanding of dendrite dynamics can provide insight into neural development and the cellular basis of neurological diseases such as schizophrenia, Down’s syndrome, and autism. The Jonathon Howard lab hypothesizes that microtubules are a primary driving force in dendrite dynamics. Since it is known that microtubules display dynamic instability, rapidly transitioning between growth, paused, and shrinking states, the Howard lab proposes a …

The “East Side” Of Las Vegas: A Latinx Historical Framework, Nathalie Martinez

Spectra Undergraduate Research Journal

Spanish heritage speakers in the United States are a reflection of everchanging linguistic and sociolinguistic pressures that result in myriad varieties across generations. This paper provides a preliminary historical framework to fill this gap of linguistic knowledge in the Spanish-speaking community of Las Vegas, Nevada. The goals were two-fold: (1) highlight the largest Spanish-speaking communities in Las Vegas and (2) explore the significance of the East Side in the history of the Latinx population of Las Vegas. Through the analysis of oral histories and historical works, the investigation highlights the Mexican, Salvadoran, and Cuban populations of Las Vegas and their …

Qualitative Review Of Educational Interventions For Improving Physical Activity Behaviors In Older Asian Americans In The United States, Raisa Kabir, Manoj Sharma, Sayeda Tazim Zaidi, Chia-Liang Dai

Spectra Undergraduate Research Journal

Physical activity (PA) provides numerous health benefits and minimizes chronic diseases and mental health issues, especially in older adults. The national survey data indicated that only 27.3% to 44.3% of older adults meet the recommended PA guidelines of 150 to 300 minutes/ week. There is limited data on PA behavior among older Asian American (AA) adults as very few to no local/national surveys have targeted these marginalized subgroups. This comprehensive review aims to identify existing PA intervention strategies and to update current knowledge on the effectiveness of these interventions to improve PA behavior among aging AA in the US. The …

The Future Of The Live Entertainment Tax In Southern Nevada, Katie M. Gilbertson

Spectra Undergraduate Research Journal

The Live Entertainment Tax (LET) in Nevada generated nearly one billion dollars during the 2019-2020 fiscal year. LET revenue all goes to the State General Fund, even though 97 percent of LET revenue is generated in Clark County. Nevada is experiencing an economic crisis, particularly in the tourism industry. Solutions from various fields suggest the best way to boost the local economy is to reinvest revenue in its original county. One policy solution Nevada policymakers should consider is to carve out a percentage of revenue generated by the LET to return directly back to Clark County to revitalize tourism.

Diabetes Mellitus Affects Working Memory, Dylone C. Braganza, Emmanuel Flores, Lauren A. Crew, Ryan A. Wirt, Andrew A. Ortiz, Adam M. Mcneela, Jefferson W. Kinney, James M. Hyman

Spectra Undergraduate Research Journal

Alzheimer’s disease (AD) degrades the brain’s ability to remember, think, and carry out tasks. The exact cause is not known, but several risk factors have been identified, including diabetes mellitus (DM). DM causes elevated blood sugar levels due to reduced insulin production in the pancreas. The linkage between elevated glucose levels and the behavioral impairments are not fully understood, which was the focus of this study. Rats were trained to alternate directions in a maze to receive a reward on consecutive trials. After training, five rats were injected with streptozotocin (STZ), which induces hyperglycemia by injuring pancreatic beta cells. Three …

A Timeline Of Discovery And Current Research On Primary Open-Angle Glaucoma And Emergence Of Potentially Permanent Treatment Solutions, Yonosuke Dejesus, Guadalupe Moreno Ceballos

Spectra Undergraduate Research Journal

This research examines the timeline of the discovery and research of Primary Open-Angle Glaucoma (POAG). By reviewing the literature on genetic and molecular mechanisms, we aim to emphasize a long-term treatment solution (iSTENT) to mitigate intraocular pressure (IOP) related to POAG etiology and disease progression. POAG is a multifactorial, autosomal dominant, adult-onset eye disease wherein the optic nerve cells become damaged due to a buildup of excess aqueous humor, resulting in increased IOP. Consequently, POAG leads to progressive loss of peripheral vision and is the leading cause of blindness in the US. Due to the multifactorial nature of glaucoma’s inheritance …

Racial Profiling: Understanding The Practice Of Stop-And-Frisk In New York City, Lisa Ly

Spectra Undergraduate Research Journal

Racial profiling has become a prominent issue in modern policing today. Instead of being based on individual suspicion, racial profiling embodies a belief that people of color are continuously singled out by the police for scrutiny and harassment. Policies and procedures make the Black community vulnerable to police discrimination and racial profiling. Floyd et al. v. City of New York et al. (2013) declared that the New York Police Department’s (NYPD) practice of stop-and-frisk was racially profiling Black civilians. This study sought (1) to determine if the NYPD post-Floyd is still engaging in racial profiling towards Black civilians; and (2) …

Thermal Properties Of 18f-Fdg Uptake And Imaging In Positron Emission Tomography Scans Of Cancerous Cells, Carleigh R. Eagle

PANDION: The Osprey Journal of Research and Ideas

Positron Emission Tomography (PET) scans can utilize a radioactive tracer, in this case 2-deoxy2-[fluorine-18] fluoro-D-glucose (¹⁸F-FDG), to visualize malignant tumors in cancer patients. The uptake was compared to glucose to understand the difference in thermal properties, which contribute to the ability to image the cancerous cells. The uptake of ¹⁸F-FDG by cancer cells and the imaging process of positron emission tomography were reviewed from a thermodynamic perspective. Gastrointestinal and neurological imaging techniques were reviewed to understand the role of PET imaging in different areas of the human body.