Physical Sciences and Mathematics Commons^™

Mind Maps And Machine Learning: An Automation Framework For Qualitative Research In Entrepreneurship Education, Yasser Farha

Dissertations

Entrepreneurship Education researchers often measure entrepreneurial motivation of college students. It is important for stakeholders, such as policymakers and educators, to assert if entrepreneurship education can encourage students to become entrepreneurs, as well as to understand factors that influence entrepreneurial motivation. For that purpose, researchers have used different methods and instruments to measure students' entrepreneurial motivation. Most of these methods are quantitative, e.g., closed-ended surveys, whereas qualitative methods, e.g., open-ended surveys, are rarely used.

Mind maps are an attractive qualitative survey tool because they capture the individual's reflections, thoughts, and experiences. For Entrepreneurship Education, mind maps can be utilized to …

Evaluation Of Anthropometric Parameters Of Central Obesity Among Professional Drivers: A Receiver Operating Characteristic Analysis, Muhammad Asif, Muhammad Aslam, Saima Altaf, Abdul Majid, Saima Atif

Kesmas

Different anthropometric parameters have been proposed for assessing central obesity. The diagnostic performance of these anthropometric parameters and their ability to correctly measure central obesity for the professional community, like drivers, is questionable and needs to be assessed. The study aimed to examine the diagnostic performance of anthropometric parameters as indicators of central obesity in drivers as measured by waist circumference (WC) and to determine the best cut-off values for these parameters that would identify obese drivers. Anthropometric measurements from a cross-sectional sample of 197 professional drivers were taken under standard protocol. Receiver operating characteristics (ROC) analysis was used to …

Gerakan Nusantara Program On Children’S Nutrition Practices, Syilga Cahya Gemily, Sandra Fikawati, Ahmad Syafiq

Kesmas

Gerakan Nusantara is a nutrition education program that aims to change the nutrition knowledge, attitudes, and practices of elementary school children in Indonesia. The program was implemented in 2015–2018 in Jakarta, Bandung, Surabaya, Makassar, Medan, Yogyakarta, Pontianak, East Nusa Tenggara, Pekanbaru, Padang, Jambi, and Sorong. The present study sought to determine the effects of Gerakan Nusantara on the nutrition practices of school-aged children and describe the extent of changes in each nutrition practice component covered by the program. This study used secondary data on Nutrition and Health Knowledge, Attitudes, and Practices studies collected from students participating in the program and …

Education Through Whatsapp Media In Changing Of Smoking Behavior Among Senior High School Students, Yusriani Yusriani, Joel Rey U. Acob

Kesmas

Teenagers, who are considerably susceptible to smoking, must be educated to prevent smoking behavior that can cause health problems and even death. The aim of this study was to assess the effect of education through social media such as WhatsApp in the modification of smoking behaviors among senior high school students in Pangkep District, Indonesia. It employed a quasi-experimental, pretest-posttest-only control group design. The experimental group received education in the use of WhatsApp social media, while the control group was provided with leaflets. Data were collected through observation and interviews with a total of 180 students in both groups, with …

Effect Of The Covid-19 Pandemic On Eating Habits And Food Purchasing Behaviors Of University Students, Hacı Ömer Yilmaz, Ramazan Aslan, Cihan Unal

Kesmas

COVID-19 disease, which spread rapidly all over the world after the first case was detected, became the primary agenda of the countries. Radical measures have been taken by governments to prevent the spread of the disease. Precautions and warnings to prevent disease caused some changes on daily life activities of people. University students who have to stop education are among the groups most affected by this disease sociologically, psychologically and physiologically. The aim of this study was planned and conducted to determine the effect of COVID-19 on university students' eating habits and food purchasing behavior. The study was completed with …

Towards Practical Homomorphic Encryption And Efficient Implementation, Gyana R. Sahu

Dissertations

Cloud computing has gained significant traction over the past few years and its application continues to soar as evident from its rapid adoption in various industries. One of the major challenges involved in cloud computing services is the security of sensitive information as cloud servers have been often found to be vulnerable to snooping by malicious adversaries. Such data privacy concerns can be addressed to a greater extent by enforcing cryptographic measures. Fully homomorphic encryption (FHE), a special form of public key encryption has emerged as a primary tool in deploying such cryptographic security assurances without sacrificing many of the …

Arithmetical Structures On Paths With A Doubled Edge, Darren B. Glass, Joshua R. Wagner

Math Faculty Publications

An arithmetical structure on a graph is given by a labeling of the vertices that satisfies certain divisibility properties. In this note, we look at several families of graphs and attempt to give counts on the number of arithmetical structures for graphs in these families.

Understanding The Complex Ethical Landscape Of Artificial Intelligence Adoptions, Chrissann R. Ruehle

USF Tampa Graduate Theses and Dissertations

Although Artificial Intelligence (AI) has existed since the 1950’s, it has experienced a series of expansions and declines over the years. Currently, AI is on an upward trajectory and has prompted the fourth industrial revolution as many scientists have noted. Some firms have rapidly embraced this technology and experienced growth while others have been slow to adopt. Naturally, this expansion often has societal impacts. The aim of this study is to explore ethical considerations that arise during the adoption of this technology. This research addressed three questions: 1. How do market and regulatory forces reportedly shape Artificial Intelligence adoptions? 2. …

Team Formation Using Recommendation Systems, Shreyas Patil

Theses

The importance of team formation has been realized since ages, but finding the most effective team out of the available human resources is a problem that persists to the date. Having members with complementary skills, along with a few must-have behavioral traits, such as trust and collaborativeness among the team members are the key ingredients behind team synergy and performance. This thesis designs and implements two different algorithms for the team formation problem using ideas adapted from the recommender systems literature. One of the proposed solutions uses the Glicko-2 rating system to rate the employees’ skills which can easily separate …

Relationship Between Spirituality And Acceptance Of Illness Level In Bipolar Patients, Olga Putri Atsira, Erikavitri Yuliati, Atika Atika, Abdurachman Abdurachman, Margarita Maria Maramis

Kesmas

Bipolar disorder is a chronic mental condition that affects patients’ quality of life. The management process is affected by acceptance of illness. The ability to accept the illness is related to the spirituality level which is something that is held strongly by Indonesian people. There has been very little research related to the relationship between spirituality with bipolar disorder. This study aimed to analyze relationship between spirituality levels with acceptance of illness in patients with bipolar disorder. This study is a correlational study using questionnaire from bipolar disorder patients contacted through Harmony in Diversity online community as a sample. Samples …

Physiological Factors And Physical Activity Contribute To The Incidence Of Type 2 Diabetes Mellitus In Indonesia, Demsa Simbolon, Afriyana Siregar, Ruzita Abd Talib

Kesmas

Type 2 diabetes mellitus (T2DM) is the sixth highest cause of death in Indonesia. Thus, it must be prevented and overcome with appropriate management. This study aimed to determine the contribution of physiological factors and physical activities to the incidence of T2DM. The study used a cohort retrospective design using secondary data from the Indonesian Family Life Survey (IFLS) from 2007 to 2014, which included a sample of 14,517 people involved for more than 20 years. Data analysis was performed using multiple logistic regressions. The results revealed a 3.8% incidence of T2DM in Indonesia. Record of hypertension risk increased the …

A Synthesis Program: Reducing Uncertainties Of The Terrestrial Biosphere Carbon Cycle At Various Spatio Temporal Scales, Xinyuan Wei

Electronic Theses and Dissertations

The terrestrial biosphere plays an important role in the global carbon cycle, and disturbance fire and climate extreme drought have strong direct and indirect impacts on the carbon fluxes. In addition, the lateral dissolved organic carbon (DOC) flux from soils to inland waters represents an important component of the terrestrial biosphere carbon cycle.

Fires play an important role in the terrestrial biosphere carbon cycle, not only through direct carbon release but also contributing to a potential long-term storage as pyrogenic carbon (PyC). PyC is formed through fires, and because it may resist further biological and chemical degradation, is more stable …

Vitamin D And Reduced Academic Stress Of Health Students, Yuni Kusmiyati, Emy Suryani, Lucky Herawati, Amalia Firdausi

Kesmas

Stress conditions can reduce academic ability, influencing student grade point averages and encouraging negative behaviors. The object of this research was to discern the influence of vitamin D in the reduction of academic stress of health students. The study used a randomized controlled trial (RCT). The population was midwifery students who lived in the Health Polytechnic dormitory, Ministry of Health, Yogyakarta, in 2017. Samples were 77 students of midwifery who did not suffer from any chronic disease, nor did they experience academic stress. They all agreed to become research subjects. Samples were 39 respondents in a treatment group who were …

Family Planning Communication Between Wives And Husbands: Insights From The 2017 Indonesia Demographic And Health Survey, Dian Kristiani Irawaty, Suziana Mat Yasin, Hadi Pratomo

Kesmas

Frequent inter-spousal communication is regarded as an indicator of safe family planning practice. Nevertheless, communication about family planning within couples in Indonesia is still largely unexplored. This study assessed the levels of inter-spousal communication about family planning and its associated determinants, using cross-sectional and nationally representative data from the 2017 Indonesia Demographic and Health Survey (IDHS), from a randomly selected cohort of 8,925 currently-married couples. Data on sociodemographic characteristics, inter-spousal communication behaviors, and attitudes regarding family planning were collected. The dependent variable in this study is how frequently couples discuss family planning, based on wives’ responses. The analyses were stratified …

Exploring The Relationship Between Children’S Vocabulary And Their Understanding Of Cardinality: A Methodological Approach, Justin Slifer, Emily Carrigan, Kristin Walker, Marie Coppola

Honors Scholar Theses

Is there a relationship between vocabulary and children’s understanding of cardinality? Does the way in which we classify cardinality data as tested by the Give-a-Number task affect finding such a relationship? This thesis explored these questions using a methodological approach, by testing the relationship between children’s receptive vocabulary scores and Give-a-Number scores classified in two different ways, the traditional knower-level assessment, as well as by calculating the proportion of trials answered correctly. A significant correlation was found between participants’ receptive vocabulary scores and Give-a-Number scores using both manners of classification, independent of the children’s ages. The results were compared with …

Comparison Of Longitudinal Changes In Resting State Functional Magnetic Resonance Imaging Between Alzheimer’S And Healthy Controls, Berk Can Yilmaz

Theses

Resting State Functional Magnetic Resonance Imaging (rs-fMRI) is a technique that is widely used for analyzing brain function using different approaches and methods. This study involves rs-fMRI analysis of Blood Oxygenation Level Dependent (BOLD) signals acquired from Alzheimer’s disease (AD) Patients and Healthy Controls (HC). Each subject in the study had both functional and anatomical images with at least one rs-fMRI scan with their Anatomical (T1) scans. Previous rs-fMRI studies have demonstrated that AD shows differences in Amplitude of Low Frequency (<0.1 Hz) Fluctuations (ALFF), and Regional Homogeneity (ReHo) measures according to HCs.

The aim of the study is to investigate individual and group level differences using ReHo and mALFF related …

Capsaicin Is A Negative Allosteric Modulator Of The 5-Ht3 Receptor, Eslam El Nebrisi, Tatiana Prytkova, Dietrich Ernst Lorke, Luke Howarth, Asma Hassan Alzaabi, Keun-Hang Susan Yang, Frank Christopher Howarth, Murat Oz

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

In this study, effects of capsaicin, an active ingredient of the capsicum plant, were investigated on human 5-hydroxytryptamine type 3 (5-HT₃) receptors. Capsaicin reversibly inhibited serotonin (5-HT)-induced currents recorded by two-electrode voltage clamp method in Xenopus oocytes. The inhibition was time- and concentration-dependent with an IC₅₀ = 62 μM. The effect of capsaicin was not altered in the presence of capsazepine, and by intracellular BAPTA injections or trans-membrane potential changes. In radio-ligand binding studies, capsaicin did not change the specific binding of the 5-HT₃ antagonist [³H]GR65630, indicating that it is a noncompetitive inhibitor of …

Slow Movement Of Alkali From Surface-Applied Lime Warrants The Introduction Of Strategic Tillage For Rapid Amelioration Of Subsurface Acidity In South-Western Australia, Gaus Azam, Chris Gazey

Grain and Other Field Crops Research Articles

Conventional surface-application of agricultural lime takes many years to increase pH deeper in the soil profile, which is a barrier to increased adoption of liming. We conducted a series of experiments to measure the rate of vertical movement of alkali and identify the factors that determine this movement into the subsurface, to evaluate the feasibility of ameliorating acidic subsurface soil using residual (undissolved) lime (CaCO3) at Wongan Hills (30.85°S, 116.74°E) and Merredin (31.48°S, 118.21°E) and to test whether deep tillage and lime incorporation can significantly speed up the amelioration of subsurface soil acidity at Kalannie (30.42°S, 117.29°E). Multiple applications of …

Long‐Term Effects Of Annual Applications Of N And S Fertilizers To Grassland On Forage Yield, Rootmass, And Soil Ph, Organic C And N On A Dark Gray Chernozem In North‐Central Saskatchewan, S. S. Malhi, M. Nyborg

IGC Proceedings (1993-2023)

No abstract provided.

Conservation Tillage Influence On Topsoil Aggregation And Carbon Content On The Loess Plateau, China, Jing Yang, Yuying Shen, Zhibiao Nan, Yining Niu, Liying Geng

IGC Proceedings (1993-2023)

No abstract provided.

Nutrient Hotspots From Patch Burning In A Namibian Rangeland, I. Zimmermann, L. Tjilumbu, G. Diekmann

IGC Proceedings (1993-2023)

No abstract provided.

Study On Seasonal Change Of Cu In System Of Soil‐Grass‐Livestock On The Meadow Around Qinghai Lake, Xuehui Zhou, Hongshan Yang, Genzhu Chang, Xiaolin Miao, Jishan Chen

IGC Proceedings (1993-2023)

No abstract provided.

Systems For Free Parking Assignment, Abeer M. Hakeem

Dissertations

Finding a free, curbside parking spaces in metropolitan areas, especially during rush hours, is difficult for drivers. The difficulty arises from not knowing where the available spaces may be at that time; and, even if the spaces are known, many vehicles may pursue the same spaces, causing serious parking contention and traffic congestion. This dissertation presents three cost-effective and easily deployable free parking assignment systems that optimize the travel time of the drivers.

The first contribution is the Free Parking System (FPS), a centralized solution that solves the curbside parking problem. Unlike existing solutions, FPS is cost-effective, as it does …

Resilience Characteristics Of The Urban Agriculture System In Lansing, Michigan: Importance Of Support Actors In Local Food Systems, Caitlin K. Kirby, Lissy Goralnik, Jennifer Hodbod, Zach Piso, Julie C. Libarkin

School of Natural Resources: Faculty Publications

Urban agriculture is a growing movement in cities across the United States, including the post-industrial Midwest. Maintaining a resilient local food system is a challenge given the environmental, resource, and institutional barriers facing urban farmers. In this descriptive correlational study, we take an in-depth look at the demographics, farm characteristics, motivations, barriers, and resilience indicators of individuals in the urban agriculture system in Lansing, Michigan, a city of the US Midwest with a growing urban agriculture system. Survey responses (n = 92) revealed that support actors, community gardeners, and farmers have descriptive differences in their motivations, with support actors (e.g. …

Modeling Strategies For Structures Using Ductile Concrete Materials In Seismic Applications, Hasan Tariq

Dissertations

No abstract provided.

The Transcript Profile Changes With Developmental Maturation Of Fetal Lung Type 2 Cells: An Analysis Of Rnaseq Data, Heber C. Nielsen, Volodymyr Orlov, Rebecca Holsapple, Monnie Mcgee

SMU Data Science Review

In this paper, we utilize next-generation sequencing (NGS) data from the LungMap project to identify and characterize the developmental RNA transcriptome in alveolar epithelial type II cells of embryonic mouse lungs of gestational ages embryonic days 16 (E16) and 18 (E18). Late gestation lung cellular maturation is necessary for survival at birth. Using R and the BioConductor packages for RNAseq analysis, we analyze changes in the mouse lung RNA transcriptome as this maturation process takes place. We particularly identify the cluster of genes whose expression changes markedly between immature (E16) and mature (E18) lungs which can be used to define …

Forecasting Power Consumption In Pennsylvania During The Covid-19 Pandemic: A Sarimax Model With External Covid-19 And Unemployment Variables, Jackson Au, Javier Saldaña Jr., Ben Spanswick, John Santerre

SMU Data Science Review

In this paper, we present how electrical consumption can reveal insight into the novel COVID-19 pandemic spread. We analyze electrical power consumption provided by PPL Electric Utilities, Department of Labor’s unemployment claims, and the COVID-19 cases/deaths for the State of Pennsylvania to study the impact of the pandemic on the infrastructure. Using a SARIMA model as our benchmark and we analyzed the use of a SARIMAX model to forecast the power consumption in Pennsylvania 14 days ahead. Our work quantifies and illuminates the effect that the strict legislation passed to minimize the spread of COVID19 had a on power consumption. …

Compressed Dna Representation For Efficient Amr Classification, John Partee, Robert Hazell, Anjli Solsi, John Santerre

SMU Data Science Review

In this paper, we explore a representation methodology for the compression of DNA isolates. Using lossless string compression via tokenization of frequently repeated segments of DNA, we reduce the length of the isolates to be counted as k-mers for classification. With this new representation, we apply a previously established feature sampling method to dramatically reduce the feature space. In understanding the genetic diversity, we also look at conserving biological function across these spaces. Using a random forest model we were able to predict the resistance or susceptibility of bacteria with 85-90\% accuracy, with a 30-50\% reduction in overall isolate length, …

Spoken Language Recognition On Open-Source Datasets, Brady Arendale, Samira Zarandioon, Ryan Goodwin, Douglas Reynolds

SMU Data Science Review

The field of speaker and language recognition is constantly being researched and developed, but much of this research is done on private or expensive datasets, making the field more inaccessible than many other areas of machine learning. In addition, many papers make performance claims without comparing their models to other recent research. With the recent development of public multilingual speech corpora such as Mozilla's Common Voice as well as several single-language corpora, we now have the resources to attempt to address both of these problems. We construct an eight-language dataset from Common Voice and a Google Bengali corpus as well …

Predicting Attrition - A Driver For Creating Value, Realizing Strategy, And Refining Key Hr Processes, Kevin Mendonsa, Maureen Stolberg, Vivek Viswanathan, Scott Crum

SMU Data Science Review

Talent is the most important asset for every organization's success. While attrition (or churn) and turnover can refer to both employees and customers, this paper will focus on employee attrition only. Many organizations accept attrition as an inevitable cost of doing business and do nothing to adopt or implement mitigating strategies to combat it. World class companies on the other hand take deliberate measures to understand, control and mitigate attrition (turnover) at every stage. Unmitigated attrition can have a devastating effect on an organization's bottom line and market value. In addition, the “invisible" costs of low employee morale, reduced employee …