Digital Commons Network^™

Investigation Of The Electron Coefficients Of (Ar, He, N2, O2) Gases In The Ionosphere, Aseel A. Temur, Ala F. Ahmed

Baghdad Science Journal

In this study, the electron coefficients; Mean energy , Mobility and Drift velocity of different gases Ar, He, N2 and O2 in the ionosphere have been calculated using BOLSIG+ program to check the solution results of Boltzmann equation results, and effect of reduced electric field (E/N) on electronic coefficients. The electric field has been specified in the limited range 1-100 Td. The gases were in the ionosphere layer at an altitude frame 50-2000 km. Furthermore, the mean energy and drift velocity steadily increased with increases in the electric field, while mobility was reduced. It turns out that there is a …

Land Use Change In Baghdad City And Assessment Of The Jadriyah And Umm Al- Khanazeer Island Important Bird Area (Iba) From 1984 To 2020, Nadheer A. Fazaa, Abdulrahman B. Ali, Ahmad Jm Al-Jabinawi, Richard Francksen, Mark J. Whittingham

Baghdad Science Journal

Land use change, particularly the expansion of urban areas and associated human activities at the expense of natural and semi-natural areas, is a major ecological issue in urban areas around the world. Climate change being a very strong additional driver for changing the temperature and habitat in the cities. This also applies to Baghdad, Iraq, where urbanisation and climate change exerts a major pressure on the natural habitats of the city, and thus may affect the ability of city planners to adapt to future climate change scenarios. Here we present evidence of substantial growth in urban areas, increases in temperature, …

A Security And Privacy Aware Computing Approach On Data Sharing In Cloud Environment, Mustafa Azeez Al Mayyahi, Seyed Amin Hosseini Seno

Baghdad Science Journal

Today, the role of cloud computing in our day-to-day lives is very prominent. The cloud computing paradigm makes it possible to provide demand-based resources. Cloud computing has changed the way that organizations manage resources due to their robustness, low cost, and pervasive nature. Data security is usually realized using different methods such as encryption. However, the privacy of data is another important challenge that should be considered when transporting, storing, and analyzing data in the public cloud. In this paper, a new method is proposed to track malicious users who use their private key to decrypt data in a system, …

Short Text Semantic Similarity Measurement Approach Based On Semantic Network, Naamah Hussien Hameed, Adel M. Alimi, Ahmed T. Sadiq

Baghdad Science Journal

Estimating the semantic similarity between short texts plays an increasingly prominent role in many fields related to text mining and natural language processing applications, especially with the large increase in the volume of textual data that is produced daily. Traditional approaches for calculating the degree of similarity between two texts, based on the words they share, do not perform well with short texts because two similar texts may be written in different terms by employing synonyms. As a result, short texts should be semantically compared. In this paper, a semantic similarity measurement method between texts is presented which combines knowledge-based …

Federated Learning Enables Big Data For Rare Cancer Boundary Detection, Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih-Han Wang, G Anthony Reina, Patrick Foley, Alexey Gruzdev, Deepthi Karkada, Christos Davatzikos, Chiharu Sako, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Philipp Vollmuth, Gianluca Brugnara, Chandrakanth J Preetha, Felix Sahm, Klaus Maier-Hein, Maximilian Zenk, Martin Bendszus, Wolfgang Wick, Evan Calabrese, Jeffrey Rudie, Javier Villanueva-Meyer, Soonmee Cha, Madhura Ingalhalikar, Manali Jadhav, Umang Pandey, Jitender Saini, John Garrett, Matthew Larson, Robert Jeraj, Stuart Currie, Russell Frood, Kavi Fatania, Raymond Y Huang, Ken Chang, Carmen Balaña, Jaume Capellades, Josep Puig, Johannes Trenkler, Josef Pichler, Georg Necker, Andreas Haunschmidt, Stephan Meckel, Gaurav Shukla, Spencer Liem, Gregory S Alexander, Joseph Lombardo, Joshua D Palmer, Adam E Flanders, Adam P Dicker, Haris I Sair, Craig K Jones, Archana Venkataraman, Meirui Jiang, Tiffany Y So, Cheng Chen, Pheng Ann Heng, Qi Dou, Michal Kozubek, Filip Lux, Jan Michálek, Petr Matula, Miloš Keřkovský, Tereza Kopřivová, Marek Dostál, Václav Vybíhal, Michael A Vogelbaum, J Ross Mitchell, Joaquim Farinhas, Joseph A Maldjian, Chandan Ganesh Bangalore Yogananda, Marco C Pinho, Divya Reddy, James Holcomb, Benjamin C Wagner, Benjamin M Ellingson, Timothy F Cloughesy, Catalina Raymond, Talia Oughourlian, Akifumi Hagiwara, Chencai Wang, Minh-Son To, Sargam Bhardwaj, Chee Chong, Marc Agzarian, Alexandre Xavier Falcão, Samuel B Martins, Bernardo C A Teixeira, Flávia Sprenger, David Menotti, Diego R Lucio, Pamela Lamontagne, Daniel Marcus, Benedikt Wiestler, Florian Kofler, Ivan Ezhov, Marie Metz, Rajan Jain, Matthew Lee, Yvonne W Lui, Richard Mckinley, Johannes Slotboom, Piotr Radojewski, Raphael Meier, Roland Wiest, Derrick Murcia, Eric Fu, Rourke Haas, John Thompson, David Ryan Ormond, Chaitra Badve, Andrew E Sloan, Vachan Vadmal, Kristin Waite, Rivka R Colen, Linmin Pei, Murat Ak, Ashok Srinivasan, J Rajiv Bapuraj, Arvind Rao, Nicholas Wang, Ota Yoshiaki, Toshio Moritani, Sevcan Turk, Joonsang Lee, Snehal Prabhudesai, Fanny Morón, Jacob Mandel, Konstantinos Kamnitsas, Ben Glocker, Luke V M Dixon, Matthew Williams, Peter Zampakis, Vasileios Panagiotopoulos, Panagiotis Tsiganos, Sotiris Alexiou, Ilias Haliassos, Evangelia I Zacharaki, Konstantinos Moustakas, Christina Kalogeropoulou, Dimitrios M Kardamakis, Yoon Seong Choi, Seung-Koo Lee, Jong Hee Chang, Sung Soo Ahn, Bing Luo, Laila Poisson, Ning Wen, Pallavi Tiwari, Ruchika Verma, Rohan Bareja, Ipsa Yadav, Jonathan Chen, Neeraj Kumar, Marion Smits, Sebastian R Van Der Voort, Ahmed Alafandi, Fatih Incekara, Maarten M J Wijnenga, Georgios Kapsas, Renske Gahrmann, Joost W Schouten, Hendrikus J Dubbink, Arnaud J P E Vincent, Martin J Van Den Bent, Pim J French, Stefan Klein, Yading Yuan, Sonam Sharma, Tzu-Chi Tseng, Saba Adabi, Simone P Niclou, Olivier Keunen, Ann-Christin Hau, Martin Vallières, David Fortin, Martin Lepage, Bennett Landman, Karthik Ramadass, Kaiwen Xu, Silky Chotai, Lola B Chambless, Akshitkumar Mistry, Reid C Thompson, Yuriy Gusev, Krithika Bhuvaneshwar, Anousheh Sayah, Camelia Bencheqroun, Anas Belouali, Subha Madhavan, Thomas C Booth, Alysha Chelliah, Marc Modat, Haris Shuaib, Carmen Dragos, Aly Abayazeed, Kenneth Kolodziej, Michael Hill, Ahmed Abbassy, Shady Gamal, Mahmoud Mekhaimar, Mohamed Qayati, Mauricio Reyes, Ji Eun Park, Jihye Yun, Ho Sung Kim, Abhishek Mahajan, Mark Muzi, Sean Benson, Regina G H Beets-Tan, Jonas Teuwen, Alejandro Herrera-Trujillo, Maria Trujillo, William Escobar, Ana Abello, Jose Bernal, Jhon Gómez, Joseph Choi, Stephen Baek, Yusung Kim, Heba Ismael, Bryan Allen, John M Buatti, Aikaterini Kotrotsou, Hongwei Li, Tobias Weiss, Michael Weller, Andrea Bink, Bertrand Pouymayou, Hassan F Shaykh, Joel Saltz, Prateek Prasanna, Sampurna Shrestha, Kartik M Mani, David Payne, Tahsin Kurc, Enrique Pelaez, Heydy Franco-Maldonado, Francis Loayza, Sebastian Quevedo, Pamela Guevara, Esteban Torche, Cristobal Mendoza, Franco Vera, Elvis Ríos, Eduardo López, Sergio A Velastin, Godwin Ogbole, Mayowa Soneye, Dotun Oyekunle, Olubunmi Odafe-Oyibotha, Babatunde Osobu, Mustapha Shu'aibu, Adeleye Dorcas, Farouk Dako, Amber L Simpson, Mohammad Hamghalam, Jacob J Peoples, Ricky Hu, Anh Tran, Danielle Cutler, Fabio Y Moraes, Michael A Boss, James Gimpel, Deepak Kattil Veettil, Kendall Schmidt, Brian Bialecki, Sailaja Marella, Cynthia Price, Lisa Cimino, Charles Apgar, Prashant Shah, Bjoern Menze, Jill S Barnholtz-Sloan, Jason Martin, Spyridon Bakas

Faculty, Staff and Student Publications

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically …

Advisement Challenges And Opportunities In Pre-Service Teacher Education: Insights Into The Experiences Of Diverse Pre-Service Teachers, Latasha Casterlow-Lalla

Seton Hall University Dissertations and Theses (ETDs)

Effective pre-service teacher educator programs are among the most important components in preparing the nation’s next generation of educators. Today’s educators collectively work to support the diverse cultural, linguistic, and social needs of students through the unprecedented demands of a transitioning school system. This dissertation examined the components of advisement challenges and opportunities as an impact on the preparation of pre-service teachers in Northern New Jersey. The study explored the influence of approaches available to pre-service teachers in the areas of program structure, a variety of support services, and the role of the advisor-advisee relationship to discover whether such programs …

Exposure Of Egyptian Rousette Bats (Rousettus Aegyptiacus) And A Little Free-Tailed Bat (Chaerephon Pumilus) To Alphaviruses In Uganda, Rebekah C. Kading, Erin M. Borland, Eric C. Mossel, Teddy Nakayiki, Betty Nalikka, Jeremy P. Ledermann, Mary B. Crabtree, Nicholas A. Panella, Luke Nyakarahuka, Amy T. Gilbert, Julian C. Kerbis-Peterhans, Jonathan S. Towner, Brian R. Amman, Tara K. Sealy, Barry R. Miller, Julius J. Lutwama, Robert M. Kityo, Ann M. Powers

United States Department of Agriculture Wildlife Services: Staff Publications

The reservoir for zoonotic o’nyong-nyong virus (ONNV) has remained unknown since this virus was first recognized in Uganda in 1959. Building on existing evidence for mosquito bloodfeeding on various frugivorous bat species in Uganda, and seroprevalence for arboviruses among bats in Uganda, we sought to assess if serum samples collected from bats in Uganda demonstrated evidence of exposure to ONNV or the closely related zoonotic chikungunya virus (CHIKV). In total, 652 serum samples collected from six bat species were tested by plaque reduction neutralization test (PRNT) for neutralizing antibodies against ONNV and CHIKV. Forty out of 303 (13.2%) Egyptian rousettes …

Pyridine Modifications Regulate The Electronics And Reactivity Of Fe–Pyridinophane Complexes, Magy A. Mekhail, Kristof Pota, Sugam Kharel, David M. Freire, Kayla N. Green

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

12-Membered pyridinophanes are the focus of many studies as biological mimics, chelators, and catalytic precursors. Therefore, the desire to tune the reactivity of pyridinophanes to better control the applications of derivative metal complexes has inspired many structure–activity relationship studies. However, the separation of structural versus electronic changes imparted by ligand modification has made these structure–activity relationship studies of transition metal catalysts challenging to define. In this work we show that 4-substitution of the pyridine ring in 12-membered tetra-aza pyridinophanes successfully provides a regulatory handle on the electronic properties of the metal center and, therefore, the catalytic C–C coupling activity of …

A Rebel Territory Behind The Tourist Scene: Negotiating National Belonging And Indigeneity In Quintana Roo, Mélissa Elbez

Maya America: Journal of Essays, Commentary, and Analysis

When we think of tourism or migration, we think of international mobility. However, the history of Quintana Roo teaches us that tourism and migration can be forces of nationalization. This article invites us to revisit the history of the southeast Yucatan peninsula, in order to understand the mechanisms that presided over its inclusion into the Mexican nation and the logic of the resistance movement that was opposed to it. Furthermore, this article delves into the ritual practices, social organization and territoriality inherited from the Cast War, that are kept alive by the rebels’ descendants (Cruzoob), unbeknownst to the gaze of …

Brave Storytelling: Diasporic Indigenous Students, Vulnerability, And The Arts, Luis Javier Pentón Herrera

Maya America: Journal of Essays, Commentary, and Analysis

In this article, I explore how vulnerability is imposed on diasporic Indigenous students in U.S. classrooms and how, through the arts, language and literacy educators can remove these vulnerabilities. For this, I weave elements of storytelling to first introduce Mariela and diasporic Indigenous students. Then, I share two examples of how my diasporic Indigenous students used poetry and drawing in our high school English for Speakers of Other Languages (ESOL) classroom to overcome vulnerabilities imposed on them by our school system. For clarification, throughout this manuscript, I use the term diasporic Indigenous students to describe Indigenous students who migrated to …

Critically Observing The Challenges And Changes: An Analysis On Covid-19’S Impact With An Emphasis On Students In Higher Education, Landon Perkins

Honors Theses

This project involves comparing different visualizations related to COVID-19 and higher education in order to determine key impacts of the COVID-19 pandemic on students in higher education, as well as higher education as a whole. The main metrics used to determine the impact were mental health indicators for anxiety or depressive disorders, enrollment numbers by control type (public, private non-profit, or private for-profit) and state for 2020 and 2021, and state mandate lift dates for a variety of mandates implemented across the United States. These metrics were analyzed both individually and against each other to determine if they had any …

One-Parameter Darboux-Deformed Fibonacci Numbers, Stefani C. Mancas, H. C. Rosu

Publications

One-parameter Darboux deformations are effected for the simple ODE satisfied by the continuous generalizations of the Fibonacci sequence recently discussed by Faraoni and Atieh [Symmetry 13, 200 (2021)], who promoted a formal analogy with the Friedmann equation in the FLRW homogeneous cosmology. The method allows the introduction of deformations of the continuous Fibonacci sequences, hence of Darboux-deformed Fibonacci (non integer) numbers. Considering the same ODE as a parametric oscillator equation, the Ermakov-Lewis invariants for these sequences are also discussed.

Ds2 As Excitation Of Ads2, Florian Ecker, Daniel Grumiller, Robert Mcnees

Physics: Faculty Publications and Other Works

Title- dS₂ as excitation of AdS₂

We introduce a family of 2D dilaton gravity models with state-dependent constant curvature so that dS₂ emerges as an excitation of AdS₂. Curiously, the strong coupling region corresponds to the asymptotic region geometrically. Apart from these key differences, many features resemble the Almheiri–Polchinski model. We discuss perturbative and non-perturbative thermodynamical stability, bubble nucleation through matter shockwaves, and semiclassical backreaction effects. In some of these models, we find that low temperatures are dominated by AdS₂ but high temperatures are dominated by dS₂, concurrent with a recent proposal …

Normal Self-Injective Hyperrings, Mayssam Fadel Abood, Tamadher Arif Ibrahiem

Baghdad Science Journal

In this paper normal self-injective hyperrings are introduced and studied. Some new relations between this concept and essential hyperideal, dense hyperideal, and divisible hyperring are studied.

K-Nearest Neighbor Method With Principal Component Analysis For Functional Nonparametric Regression, Shelan Saied Ismaeel, Kurdistan M.Taher Omar, Bo Wang

Baghdad Science Journal

This paper proposed a new method to study functional non-parametric regression data analysis with conditional expectation in the case that the covariates are functional and the Principal Component Analysis was utilized to de-correlate the multivariate response variables. It utilized the formula of the Nadaraya Watson estimator (K-Nearest Neighbour (KNN)) for prediction with different types of the semi-metrics, (which are based on Second Derivative and Functional Principal Component Analysis (FPCA)) for measureing the closeness between curves. Root Mean Square Errors is used for the implementation of this model which is then compared to the independent response method. R program is used …

An Asymptotic Analysis Of The Gradient Remediability Problem For Disturbed Distributed Linear Systems, Soraya Rekkab, Samir Benhadid, Raheam Al-Saphory

Baghdad Science Journal

The goal of this work is demonstrating, through the gradient observation of a of type linear ( -systems), the possibility for reducing the effect of any disturbances (pollution, radiation, infection, etc.) asymptotically, by a suitable choice of related actuators of these systems. Thus, a class of ( -system) was developed based on finite time ( -system). Furthermore, definitions and some properties of this concept -system and asymptotically gradient controllable system ( -controllable) were stated and studied. More precisely, asymptotically gradient efficient actuators ensuring the weak asymptotically gradient compensation system ( -system) of known or unknown disturbances are examined. Consequently, under …

Electron Lens Optimization For Beam Physics Research Using The Integrated Optics Test Accelerator, Sura Allawi Obaid, Jenan Hussein Taha, Siham Abdullah

Baghdad Science Journal

This study proposed control system that has been presented to control the electron lens resistance in order to obtain a stabilized electron lens power. This study will layout the fundamental challenges, hypothetical plan arrangements and development condition for the Integrable Optics Test Accelerator (IOTA) in progress at Fermilab. Thus, an effective automatic gain control (AGC) unit has been introduced which prevents fluctuations in the internal resistance of the electronic lens caused by environmental influences to affect the system's current and power values ​​and keep them in stable amounts. Utilizing this unit has obtained level balanced out system un impacted with …

Cluster Analysis Of Biochemical Markers As Predictor Of Covid-19 Severity, Suhayla K. Mohammed, Muzahem Mohialdeen Taha, Ekhlass M. Taha, Massara Najim Abdulla Mohammad

Baghdad Science Journal

Numerous blood biomarkers are altered in COVID-19 patients; however, no early biochemical markers are currently being used in clinical practice to predict COVID-19 severity. COVID-19, the most recent pandemic, is caused by the SRS-CoV-2 coronavirus. The study was aimed to identify patient groups with a high and low risk of developing COVID-19 using a cluster analysis of several biomarkers. 137 women with confirmed SARS CoV-2 RNA testing were collected and analyzed for biochemical profiles. Two-dimensional automated hierarchy clustering of all biomarkers was applied, and patients were sorted into classes. Biochemistry marker variations (Ferritin, lactate dehydrogenase LDH, D-dimer, and C- reactive …

Healing Of Radiation Dermatitis With Ozonated Aloe Vera Oil By Increasing Pdgf And Epidermal Thickness In Sprague-Dawley Rats, Widoasti Putri Utami, Yan Wisnu Prajoko, Christina H.N. Prihharsanti, Udadi Sadhana, Neni Susilaningsih, Maryam Restiwijaya, Muhammad Nur

Folia Medica Indonesiana

Highlights: • This study demonstrated the effect of ozonated Aloe vera oil in the healing of radiation dermatitis wound. • Groups that received no treatment was compared with groups that received treatment using 2.5% hydrocortisone ointment and ozonated Aloe vera. • Ozonated Aloe vera oil improves the healing of radiation dermatitis wound by increasing PDGF expression and epidermal thickness. Abstract : The long-term use of corticosteroids as a standard treatment for skin disorders, such as radiation dermatitis, can cause many side effects. Alternatively, ozonated Aloe vera oil may replace corticosteroids due to its fewer side effects and benefits in wound …

Final Revised Butte Reduction Works (Brw) Phase Iii Qapp, Nikia Greene

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Predicting The Outcomes Of Internet-Based Cognitive Behavioral Therapy For Tinnitus: Applications Of Artificial Neural Network And Support Vector Machine, Hansapani Rodrigo, Eldré W. Beukes, Gerhard Andersson, Vinaya Manchaiah

School of Mathematical & Statistical Sciences Faculty Publications

Purpose:

Internet-based cognitive behavioral therapy (ICBT) has been found to be effective for tinnitus management, although there is limited understanding about who will benefit the most from ICBT. Traditional statistical models have largely failed to identify the nonlinear associations and hence find strong predictors of success with ICBT. This study aimed at examining the use of an artificial neural network (ANN) and support vector machine (SVM) to identify variables associated with treatment success in ICBT for tinnitus.

Method:

The study involved a secondary analysis of data from 228 individuals who had completed ICBT in previous intervention studies. A 13-point reduction …

The Interaction Of Normalisation And Clustering In Sub-Domain Definition For Multi-Source Transfer Learning Based Time Series Anomaly Detection, Matthew Nicholson, Rahul Agrahari, Clare Conran, Haythem Assem, John D. Kelleher

Articles

This paper examines how data normalisation and clustering interact in the definition of sub-domains within multi-source transfer learning systems for time series anomaly detection. The paper introduces a distinction between (i) clustering as a primary/direct method for anomaly detection, and (ii) clustering as a method for identifying sub-domains within the source or target datasets. Reporting the results of three sets of experiments, we find that normalisation after feature extraction and before clustering results in the best performance for anomaly detection. Interestingly, we find that in the multi-source transfer learning scenario clustering on the target dataset and identifying subdomains in the …

Middle School Teachers' Experiences Addressing Gifted Students' Basic Psychological Needs: A Phenomenological Study, Lorri Thibodeaux Caldwell

Doctoral Dissertations and Projects

This qualitative, hermeneutic phenomenological study aimed to investigate teachers’ experiences addressing the psychological needs of gifted middle school students within a public school district in Louisiana. Psychological needs-supportive teaching was defined as the pedagogies teachers employ to build students’ perceptions of autonomy, competence, and relatedness. The study was grounded in Deci and Ryan’s self-determination theory (SDT), which posits that human beings seek growth as part of human nature. The participants were a sample of 12 middle school teachers of identified gifted students in a Louisiana school district. Data collection included personal interviews, artifact submissions, and a focus group discussion. The …

Comparing The Academic Growth Among Black Students In Philadelphia’S Black-Operated Charter Schools, Non-Black Operated Charter Schools, And Traditional Public Schools., Cherryann M. Joseph

Doctoral Dissertations and Projects

This ex post facto, causal-comparative quantitative study assessed the math and English language arts (ELA) 7th to 8th-grade academic growth among Black students enrolled in Philadelphia’s black-operated public charter schools, non-black operated charter schools, and traditional public schools while controlling for 6th-grade exam scores. Over 65 years after Brown versus Board of Education disallowed public school segregation, the academic achievement gap between Black and white students persists. Various parental and educational stakeholders have considered charter public schools as suitable educational alternatives for narrowing this academic gap. This condition along with an assertion by some community activists that Black leaders are …

Final Revised Butte Reduction Works (Brw) Phase Iii Qapp, Nikia Greene

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Educators’ Perspectives Of Student Outcomes, Rikki Jean Cook

Doctoral Dissertations and Projects

Individual experiences inform psychological adjustment, academic achievement, and trait-specific behaviors during adolescence. The formation of their identity is further dependent upon social and emotional interactions such as those experienced in the social learning environment. During the COVID-19 pandemic, mandated social distancing resulted in the closure of public schools state-wide, forcing students and educators to utilize online educational environments with no preparatory or transitionary periods to allow for adequate adjustment. It is necessary to assess and work toward an understanding of the consequences of this environmental shift, and of the adolescents’ modified social interactions. This descriptive qualitative phenomenological study explores the …

Effects Of Antecedent Precipitation Amount And Covid-19 Lockdown On Water Quality Along An Urban Gradient, Daniel Ramirez, Heejun Chang, Katherine Gelsey

Geography Faculty Publications and Presentations

Water quality is affected by multiple spatial and temporal factors, including the surrounding land characteristics, human activities, and antecedent precipitation amounts. However, identifying the relationships between water quality and spatially and temporally varying environmental variables with a machine learning technique in a heterogeneous urban landscape has been understudied. We explore how seasonal and variable precipitation amounts and other small-scale landscape variables affect E. coli, total suspended solids (TSS), nitrogen-nitrate, orthophosphate, lead, and zinc concentrations in Portland, Oregon, USA. Mann–Whitney tests were used to detect differences in water quality between seasons and COVID-19 periods. Spearman’s rank correlation analysis was used to …

Prophylaxis And Remediation For Future Pandemic Pathogens-(Lessons From A Post-Covid World), Mark E. Obrenovich, Moncef B. Tayahi, Caryn L. Heidt, Steven N. Emancipator

Michigan Tech Publications, Part 1

Since influenza and coronaviruses are currently deadly and emerging threats worldwide, better treatment, remediation and prevention options are needed. In that regard, a basic understanding of severe acute respiratory syndrome (SARS)-CoV-2/COVID-19 () and other viral pathogen mechanisms of transmission are expected. Unfortunately, unprecedented, and growing distrust of vaccines and even masks or personal protective equipment (PPE) in the United States and elsewhere presents itself as an added challenge. We postulate that development of improved and highly effective prophylactic measures, together with new life-saving therapies that do inhibit or otherwise treat infection of SARS-CoV-2, influenza and other viral pathogens, could be …

A Hermeneutic Phenomenological Study: Perspectives On The Parental Engagement Strategies Of Rural African American Parents Of Middle School Students, Barbara Ragin Champagne

Doctoral Dissertations and Projects

The purpose of this hermeneutic phenomenological study was to explore and ascribe meaning to African American parents' lived experiences in the education of their middle school students in rural east-central South Carolina. Two theoretical frameworks guided this study as they related to the levels and the effect of parental self-efficacy on parental engagement: Hoover-Dempsey and Sandler's revised model of parental involvement and Bandura's self-efficacy theory. The central research question for this study was "What are the perceptions and lived experiences of rural African American middle-school parents and their involvement in parental engagement activities?" Three subsequent sub-questions on parental self-efficacy, role …

Implementation Of Provider Education Regarding Exercise As Adjunctive Treatment For Common Mental Health Diagnoses, Lauren Grace Martin

Doctoral Dissertations and Projects

Mental and physical health are inextricably linked. The advent of the Covid-19 pandemic reduced physical activity levels while worsening mental health symptoms. Pharmacological treatments are frequently used to treat mental health conditions; however, side effects can worsen metabolic issues. There is significant evidence that exercise can improve mental health conditions. The purpose of this project was to utilize provider education as an intervention to increase the use of exercise as an adjunctive treatment in the psychiatric treatment plan. This project was implemented at Nevada Mental Health, an outpatient behavioral health clinic in Las Vegas, Nevada. The investigator conducted a chart …