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Undergraduate And Graduate Course Descriptions, Spring 2024, Wright State University
Undergraduate And Graduate Course Descriptions, Spring 2024, Wright State University
Course Descriptions
Wright State University undergraduate and graduate course descriptions from Spring 2024
A Review On Bioremediation Of Heavy Metals And Hydrocarbons Through Plant Growth-Promoting Bacteria And Composting, Hafsa Saleem, Hadia Farooq, Rimsha Mazhar, Sadaf Shakil, Sahar Fazal
A Review On Bioremediation Of Heavy Metals And Hydrocarbons Through Plant Growth-Promoting Bacteria And Composting, Hafsa Saleem, Hadia Farooq, Rimsha Mazhar, Sadaf Shakil, Sahar Fazal
Journal of Bioresource Management
Soil is an important ecosystem component; it serves as a habitat for many microscopic organisms that play an important role in the ecosystem's maintenance and crops grown in soil. Unfortunately, human activities have adversely affected not only the environment but also the soil health. Soil has been contaminated with heavy metals hydrocarbons and hydrocarbon-based products that are affecting soil health and the growth of plants. In this review two methods of heavy metal remediation are discussed; one is the role of plant growth-promoting bacteria (PGPB) in the enhancement of phytoremediation and the other is composting. PGPB help plants to grow …
Assessing The Effectiveness Of Copper Oxide Nanoparticles (Cuo-Nps) As Larvicidal Agents Against Aedes Aegypti Larvae In A Laboratory Setup, Muhammad Ahsan Riaz, Ayesha Riaz, Muhammad Asif Mahmood, Muhammad Uzair Mukhtar, Waseem Akram, Ehtisham Arshad, Zaib Un Nisa, Beenish Ijaz, Muhammad Shahid Rasool
Assessing The Effectiveness Of Copper Oxide Nanoparticles (Cuo-Nps) As Larvicidal Agents Against Aedes Aegypti Larvae In A Laboratory Setup, Muhammad Ahsan Riaz, Ayesha Riaz, Muhammad Asif Mahmood, Muhammad Uzair Mukhtar, Waseem Akram, Ehtisham Arshad, Zaib Un Nisa, Beenish Ijaz, Muhammad Shahid Rasool
Journal of Bioresource Management
The control of Aedes aegypti (A. aegypti), the primary vector for dengue virus, requires effective larvicidal agents to target larvae breeding in various water sources. This study aimed to assess the effectiveness of Copper Oxide Nanoparticles (CuO-NPs) as larvicidal agents against A. aegypti larvae in a laboratory setup. Larvae were exposed to CuO-NPs at five contrasting concentrations (0, 5, 10, 20, and 30 mg/l). Twenty-five fourth instar larvae were subjected to each concentration with three replicates and one control with the same number (n=25) of larvae under optimum laboratory conditions. The larval mortality was calculated after 24 hours. …
Characterizing The Polyamorous Experience Through Research, Kacey O'Harra
Characterizing The Polyamorous Experience Through Research, Kacey O'Harra
Best Integrated Writing
Scientific study of polyamory and the individuals who practice it has seen a sharp increase in the last decade, revealing data and subjective experiences that support their capacity to be closely intimate and fulfilling, to bolster personal development, to provide a positive and stable family environment, and to mutually strengthen the bonds of each relationship involved. Understanding the unique experiences and challenges faced by polyamorous lovers is essential for cultural competence in relational research, clinical practice, institutional regulations, and moving toward greater social acceptance. Examined here are the associated stigmas and their impacts on polyamorous individuals, the motivations people have …
A Review On The Role Of Tomatoes In Pakistan's Agricultural Economy: Challenges And Strategies For White Fly (Bemisa Tabaci: Hemiptera) Management, Muhammad Wahid Khan, Zahid Hussain, Shahid Sattar, Fazal Maula
A Review On The Role Of Tomatoes In Pakistan's Agricultural Economy: Challenges And Strategies For White Fly (Bemisa Tabaci: Hemiptera) Management, Muhammad Wahid Khan, Zahid Hussain, Shahid Sattar, Fazal Maula
Journal of Bioresource Management
The largest sector of Pakistan's economy is agriculture. Tomatoes, considered both vegetables and fruits, are an essential part of the daily diet for people in the economy class as well as those with limited means, with per capita food consumption of 8.00 kg recorded in Pakistan. Tomatoes are a rich source of essential nutrients such as Vitamin C, A, and Iron, and naturally contain Lycopene, known for its antioxidant properties that can help prevent cancer. In Pakistan, tomato crops yield approximately 40 kg per acre, which is below the world average of 4.00 tons per acre. The Pakistan renowned tomato …
Assessment Of The Genotoxic Effect Of Pesticide (Profenophos And Cypermethrin) On Allium Cepa L. Through Comet Assay, Ali Hasnian, Muhammad Rizwan, Hamed Dadkhah-Aghdash ., Zahid Mehmood, Ayesha Iqbal, Zarbab Zulfiqar, Bin Yameen, Hafiz Naveed Anjum, Sohaib Muhammad, Muhammad Luqman, Andleeb Anwar Sardar, Muhammad Umer Farooq
Assessment Of The Genotoxic Effect Of Pesticide (Profenophos And Cypermethrin) On Allium Cepa L. Through Comet Assay, Ali Hasnian, Muhammad Rizwan, Hamed Dadkhah-Aghdash ., Zahid Mehmood, Ayesha Iqbal, Zarbab Zulfiqar, Bin Yameen, Hafiz Naveed Anjum, Sohaib Muhammad, Muhammad Luqman, Andleeb Anwar Sardar, Muhammad Umer Farooq
Journal of Bioresource Management
Pesticides are specially designed to control pests and help in increasing the yield of crops. This study aims to investigate the genotoxic effect of the major ingredients of commonly used pesticides (Profenophos and Cypermethrin) on Allium cepa L. in different regions of the province of Punjab, Pakistan. Profenophos and Cypermethrin pesticides are extensively used by local farmers. Six different dilutions of Profenophos and Cypermethrin pesticide ranging from, 0.5 ml/L, 1 ml/L, 1.5 ml/L, 2 ml/L, 2.5 ml/L and 3.0 ml/L were applied initially on seeds germination. Seeds grown in a 3.0 ml/L concentration showed a lower radical length percentage as …
Unlocking The Promise Of The ″Miracle Tree: A Review On Therapeutic Applications And Phytochemistry Of Moringa Oleifera L., Ali Zeeshan, Mubashrah Munir, Sehrish Sadia
Unlocking The Promise Of The ″Miracle Tree: A Review On Therapeutic Applications And Phytochemistry Of Moringa Oleifera L., Ali Zeeshan, Mubashrah Munir, Sehrish Sadia
Journal of Bioresource Management
Moringa oleifera, commonly known as the "miracle tree", has been used for centuries in traditional medicine and has recently garnered interest from the scientific community for its therapeutic potential. This review summarizes the current knowledge on the phytochemistry, nutritional composition, and medicinal properties of different parts of M. oleifera. The leaves, pods, bark, roots, seeds, and flowers contain various essential nutrients like vitamins, minerals, amino acids, antioxidants, and phytochemicals such as flavonoids, glucosinolates, and phenolic acids. These bioactive compounds confer anti-diabetic, anti-cancer, cardioprotective, anti-inflammatory, antimicrobial, immunomodulatory, anti-venom, and wound healing properties. Extracts and isolates from M. oleifera have shown …
Toxicity Of Three Species Of The Solanaceae Family Growing In Algeria Against Culiseta Longiareolata Mosquitos 4th Stage Larvae, Saliha Benhissen, Abdelmaddjid Yagoub Asloum, Nora Belkhiri, Zakaria Hedjouli, Siham Bounadji, Wafa Habbachi, Khellaf Rebbas
Toxicity Of Three Species Of The Solanaceae Family Growing In Algeria Against Culiseta Longiareolata Mosquitos 4th Stage Larvae, Saliha Benhissen, Abdelmaddjid Yagoub Asloum, Nora Belkhiri, Zakaria Hedjouli, Siham Bounadji, Wafa Habbachi, Khellaf Rebbas
Journal of Bioresource Management
Mosquitoes have always been considered a source of harm to humans and animals mainly because they can be vectors of disease. This work represents a study on the effect of aqueous extract of three plants (Hyoscyamus albus, Solanum elaeagnifolium, Solanum nigrum) of the Solanaceae family on the mortality of 4th stage larvae of Culiseta longiareolata larvae. Extract of the high impact is of S. nigrum followed by H. albus and S. elaeagnifolium, respectivley of C. longiareolata larvae.
Biological Significances Of Environmental Pollution In The New Calabar River, Southern Nigeria: A Case Study In Zooplankton Composition, Ibienebo Davies Imachrist, Francis David Sikoki, Philomina Kika, Davies Ibienebo Chris
Biological Significances Of Environmental Pollution In The New Calabar River, Southern Nigeria: A Case Study In Zooplankton Composition, Ibienebo Davies Imachrist, Francis David Sikoki, Philomina Kika, Davies Ibienebo Chris
Journal of Bioresource Management
The study was conducted for three months (May to July 2020), focusing on the physicochemical parameters and zooplankton composition in the Ogbogoro region of the New Calabar River in Nigeria. This investigation was carried out at three distinct monitoring stations. The physicochemical parameters were determined using standard ecological analytic procedures. PAST and SPSS were used for the statistical analysis. The temperature ranged between 26.5 to 33 ºC, salinity (1.23 to 1.86 %), pH (7.4 to 9.62), Total Dissolved Solids (2419 to 5,817 mg/L), conductivity (223.83 to 7,328 μS/cm), turbidity (3.415 to 15.05 NTU) and Dissolved Oxygen (3.8 to 6.8 mg/L). …
A Review On Role Of Bacillus Species In Bio-Calcification: A Way Forward In Carbonate Precipitation, Ardil Bin Mansoor, Sheema Yousaf, Amna Gulzar, Ramsha Iqbal, Aisha Waheed Qurashi
A Review On Role Of Bacillus Species In Bio-Calcification: A Way Forward In Carbonate Precipitation, Ardil Bin Mansoor, Sheema Yousaf, Amna Gulzar, Ramsha Iqbal, Aisha Waheed Qurashi
Journal of Bioresource Management
Bio-calcification, also known as microbiologically induced calcite precipitation, is a phenomenon involving the activity of the enzyme urease. A large number of soil microorganism exhibit urease-producing ability. The main purpose of this review article is to signify the calcium carbonate bio-precipitation by Bacillus species including Lysinibacillus sphaericus and Bacillus subtilis. They both precipitated calcite and the shape and size depending on the external and internal conditions like the type of culture medium and the bacterial strains that were used. The research group increased attentions toward MICP (microbial-induced carbonated precipitation) because of its eco-friendly application. Different bacterial strains had been …
Faculty Senate Meeting Agenda And Minutes, March 24, 2024
Faculty Senate Meeting Agenda And Minutes, March 24, 2024
Faculty Senate Minutes and Agendas
Agenda and minutes from the Wright State University Faculty Senate Meeting held on, March 24, 2024.
Motivational Interviewing Skills Practice Enhanced With Artificial Intelligence, Paul J. Hershberger, Yong Pei, Dean A. Bricker, Timothy N. Crawford, Ashutosh Shivakumar, Angie Castle, Katharine Conway, Raveendra Medaramitta, Maria Rechtin, Josephine F. Wilson
Motivational Interviewing Skills Practice Enhanced With Artificial Intelligence, Paul J. Hershberger, Yong Pei, Dean A. Bricker, Timothy N. Crawford, Ashutosh Shivakumar, Angie Castle, Katharine Conway, Raveendra Medaramitta, Maria Rechtin, Josephine F. Wilson
Family Medicine Faculty Publications
Background: Finding time in the medical curriculum to focus on motivational interviewing (MI) training is a challenge in many medical schools. We developed a software-based training tool, “Real-time Assessment of Dialogue in Motivational Interviewing” (ReadMI), that aims to advance the skill acquisition of medical students as they learn the MI approach. This human-artificial intelligence teaming may help reduce the cognitive load on a training facilitator. Methods: During their Family Medicine clerkship, 125 third-year medical students were scheduled in pairs to participate in a 90-minute MI training session, with each student doing two role-plays as the physician. Intervention group students received …
Faculty Senate Meeting Agenda And Minutes, February 12, 2024
Faculty Senate Meeting Agenda And Minutes, February 12, 2024
Faculty Senate Minutes and Agendas
Agenda and minutes from the Wright State University Faculty Senate Meeting held on, February 12, 2024.
The Guardian The Month Of February 2024, Wright State Student Body
The Guardian The Month Of February 2024, Wright State Student Body
The Guardian Student Newspaper
News articles from The Guardian for the Month of February 2024. The Guardian is the official student-run newspaper for Wright State University. It has been published regularly since March of 1965.
Wright State University Magazine, 2024, Wright State Alumni Association And Wright State Foundation
Wright State University Magazine, 2024, Wright State Alumni Association And Wright State Foundation
Wright State University Magazine
Fifty-two page issue of the Wright State University Magazine. This magazine is published once a year and focuses on news related to Wright State alumni, faculty, staff, and friends of the university.
Evaluation And Modulation Of The Circadian Clock In Human Keratinocytes And Epidermal Skin, William Harold Cvammen Iv
Evaluation And Modulation Of The Circadian Clock In Human Keratinocytes And Epidermal Skin, William Harold Cvammen Iv
Browse all Theses and Dissertations
The circadian clock is a fundamental biological mechanism that regulates various physiological processes, including DNA repair, to synchronize with the day-night cycle. In human skin, exposure to ultraviolet (UV) light poses a significant challenge, inducing DNA damage that must be efficiently repaired to maintain genomic integrity and prevent carcinogenesis. This study delved into the complex interplay between the circadian clock, UV light exposure, DNA repair, and modulation of circadian transcriptional machinery in human skin. Initially, we examined the transcriptomic profile of the circadian clock in humans through in silico-based approaches and in vivo studies, revealing that core clock gene expression …
Understanding Patient Profiles In Sickle Cell Disease Using Unsupervised Machine Learning, Raj Kamal Somavarapu
Understanding Patient Profiles In Sickle Cell Disease Using Unsupervised Machine Learning, Raj Kamal Somavarapu
Browse all Theses and Dissertations
Sickle Cell Disease (SCD) is one of the most prevalent genetic blood disorders affecting millions of people worldwide. It is often accompanied by acute and/or chronic pain leading to increased healthcare costs and adverse outcomes. Effective management of SCD requires an understanding of the diverse physiological profiles. This study employs unsupervised machine learning, specifically K-means clustering to categorize the patients suffering with SCD into different clusters based on their vital signs. The main aim is to identify the groups that reflect similarities in physiological and pain profiles, allowing an in-depth analysis to reveal distinctive features distinguishing patient clusters. The project …
College Of Graduate Programs And Honors Studies Newsletter - January 2024, College Of Graduate Programs And Honors Studies, Wright State University
College Of Graduate Programs And Honors Studies Newsletter - January 2024, College Of Graduate Programs And Honors Studies, Wright State University
College of Graduate Programs and Honors Studies Newsletter
A five page newsletter created by the College of Graduate Programs and Honors Studies at Wright State University. This newsletter includes a upcoming events, message from the dean, and more.
Enhancing Robustness Of Graph Neural Network Against Adversarial Attacks By Balancing Local And Global Perspectives, Bibek Raj Joshi
Enhancing Robustness Of Graph Neural Network Against Adversarial Attacks By Balancing Local And Global Perspectives, Bibek Raj Joshi
Browse all Theses and Dissertations
Graph Neural Networks (GNNs) have increasingly gained popularity as tools for analyzing graph data in areas like biology, knowledge-graphs, social networks, biology, and recommendation systems. However, their vulnerability to adversarial attacks - small, targeted manipulations of graph structures or node features - raises serious concerns about their reliability in real-world applications. Existing defense strategies, such as adversarial training, edge filtering, low-rank approximations, and randomization-based methods, often suffer from high computational costs, scalability issues, or reduced clean-data performance. Unlike these methods, the proposed approach integrates multi-hop relationships, applies adaptive regularization, and maintains a balance between feature-based and structural embeddings, ensuring improved …
Meta-Learning-Based Model Stacking Framework For Hardware Trojan Detection In Fpga Systems, Mani Rupak Gurram
Meta-Learning-Based Model Stacking Framework For Hardware Trojan Detection In Fpga Systems, Mani Rupak Gurram
Browse all Theses and Dissertations
In today's technological landscape, hardware devices are integral to critical applications such as industrial automation, autonomous vehicles, and medical equipment, relying on advanced platforms like FPGAs for core functionalities. However, the multi-stage manufacturing process, often distributed across various foundries, introduces substantial security risks, notably the potential for hardware Trojan insertion. These malicious modifications compromise the reliability and safety of hardware systems. This research addresses the detection of hardware Trojans through side-channel analysis, utilizing power and electromagnetic signal data, combined with meta-learning techniques, specifically model stacking. By employing diverse base models and a meta-model to consolidate predictions, this non-invasive approach effectively …
Adsorption Of Perfluoroalkyl Substances With Activated Carbon: Characterizing Non-Hazardous Simulants, Jennifer Hensley
Adsorption Of Perfluoroalkyl Substances With Activated Carbon: Characterizing Non-Hazardous Simulants, Jennifer Hensley
Browse all Theses and Dissertations
Per- and polyfluoroalkyl substances (PFAS) are of great interest recently because some members of this class exhibit human health risks at extremely low levels, making them the current subject of proposed regulation and policy. Treatment of PFAS contaminated wastewater often is performed through adsorptive processes, e.g., with activated carbon. Due to complexities with PFAS laboratory analysis, assessing treatment efficacy through direct measurement of PFAS is expensive and time consuming, potentially delaying the design and implementation of site-specific treatment systems. This project identified and characterized potential suitable simulants for PFAS during wastewater treatment for which analysis can be timely and economical. …
Production Of Cerium Oxide And Zinc Sulfide Composites, Ted Autore
Production Of Cerium Oxide And Zinc Sulfide Composites, Ted Autore
Browse all Theses and Dissertations
Zinc sulfide has an infrared cutoff in the LWIR, but its low hardness makes it susceptible to rain erosion and abrasion. A composite of cerium oxide and zinc sulfide that retains an infrared cutoff in the LWIR, and with hardness higher than pure zinc sulfide is a potential solution to the rain erosion and abrasion issue. Several different processes were undertaken in this project to produce such a composite. The different reactions between ZnS and CeO2 were researched, along with the effects of different processing parameters. Composite samples were made that had a better hardness than zinc sulfide but did …
Investigating The Impact Of Stress And Irradiation Flux On Latent Track Formation In Tio2 Under Swift Heavy Ion Irradiation: A Phase Field Study, Ebrahim Ebrahimi
Investigating The Impact Of Stress And Irradiation Flux On Latent Track Formation In Tio2 Under Swift Heavy Ion Irradiation: A Phase Field Study, Ebrahim Ebrahimi
Browse all Theses and Dissertations
Swift Heavy Ions (SHI) irradiation, characterized by high kinetic energy ions, induces significant material/structural modification, e.g., latent track. However, the intricate interaction among various physics, i.e., mechanical stress, phase transition, and heat transfer, has been ignored in the continuum-based approaches in favor of simplicity. Here, we developed a two-dimensional coupled phase-field inelastic-thermal spike (PF-iTS) model to investigate the effect of thermal crosstalk, elastic energy, and irradiation flux on latent track formation. A particular focus is placed on investigating the influence of internal mechanical stress on latent track formation. Simulation results reveal a shift in critical stopping energy and a reduction …
Architectural Optimization Of Emulator Embedded Neural Networks For Aerospace Vehicle Design, James L. Schmitz Ii
Architectural Optimization Of Emulator Embedded Neural Networks For Aerospace Vehicle Design, James L. Schmitz Ii
Browse all Theses and Dissertations
An approach for the architecture optimization of emulator embedded neural networks is proposed. While the emulator embedded neural network has been shown to provide accurate predictions with suitable emulators, there is still a challenge regarding how to select the optimal hyperparameters of network architectures, such as, the number of neurons, layers, types of activation functions, etc. The selection of hyperparameters greatly affects the performance of the neural network model training both in terms of accuracy and efficiency. To address this challenge, this study proposes an algorithm that tests a range of hyperparameters and selects the best performing set. The algorithm …
Using Unsupervised Machine Learning To Reduce The Energy Requirements Of Active Flow Control, Jared N. Kerestes
Using Unsupervised Machine Learning To Reduce The Energy Requirements Of Active Flow Control, Jared N. Kerestes
Browse all Theses and Dissertations
It is generally accepted that there exist two types of laminar separation bubbles (LSBs): short and long. The process by which a short LSB transitions to a long LSB is known as bursting. In this research, large eddy simulations (LES) are used to study the evolution of an LSB that develops along the suction surface of the L3FHW-LS at low Reynolds numbers. The L3FHW-LS is a new high-lift, high-work low-pressure turbine (LPT) blade designed at the Air Force Research Laboratory. The LSB is shown to burst over a critical range of Reynolds numbers. Bursting is discussed at length and its …
Deep Learning Based Optical Flow Analysis Of High-Speed Flows, Daniel H. Zhang, Zifeng Yang
Deep Learning Based Optical Flow Analysis Of High-Speed Flows, Daniel H. Zhang, Zifeng Yang
Mechanical and Materials Engineering Faculty Publications
Two-dimensional Rayleigh scattering imaging is utilized to quantify the high-speed flow velocity by employing deep learning based optical flow analysis, along with density fields from Rayleigh scattering intensity profiles.
Evaluating The Deductive Competence Of Large Language Models, Spencer M. Seals, Valerie L. Shalin
Evaluating The Deductive Competence Of Large Language Models, Spencer M. Seals, Valerie L. Shalin
Psychology Faculty Publications
The development of highly fluent large language models (LLMs) has prompted increased interest in assessing their reasoning and problem-solving capabilities. We investigate whether several LLMs can solve a classic type of deductive reasoning problem from the cognitive science literature. The tested LLMs have limited abilities to solve these problems in their conventional form. We performed follow up experiments to investigate if changes to the presentation format and content improve model performance. We do find performance differences between conditions; however, they do not improve overall performance. Moreover, we find that performance interacts with presentation format and content in unexpected ways that …
Enhancing Cross-Modal Contextual Congruence For Crowdfunding Success Using Knowledge-Infused Learning, Trilok Padhi, Ugur Kursuncu, Yaman Kumar, Valerie L. Shalin, Lane Peterson Fronczek
Enhancing Cross-Modal Contextual Congruence For Crowdfunding Success Using Knowledge-Infused Learning, Trilok Padhi, Ugur Kursuncu, Yaman Kumar, Valerie L. Shalin, Lane Peterson Fronczek
Psychology Faculty Publications
The digital landscape continually evolves with multimodality, enriching the online experience for users. Creators and marketers aim to weave subtle contextual cues from various modalities into congruent content to engage users with a harmonious message. This interplay of multimodal cues is often a crucial factor in attracting users' attention. However, this richness of multimodality presents a challenge to computational modeling, as the semantic contextual cues spanning across modalities need to be unified to capture the true holistic meaning of the multimodal content. This contextual meaning is critical in attracting user engagement as it conveys the intended message of the brand …
Generating Blood Analog For Laser Induced Fluorescent Particle Image Velocimetry, Chungyiu Ma, Jared Chong, Hang Yi, Zifeng Yang, Luke Bramlage, Bryan Ludwig
Generating Blood Analog For Laser Induced Fluorescent Particle Image Velocimetry, Chungyiu Ma, Jared Chong, Hang Yi, Zifeng Yang, Luke Bramlage, Bryan Ludwig
Mechanical and Materials Engineering Faculty Publications
To mimic blood non-Newtonian viscosity features under designated temperatures from 305 to 315 K, transparent blood analogs were generated by the mixture of xanthan gum and deionized water with fluorescent particles for laser induced fluorescent particle image velocimetry.
2024-2025 Common Data Set - Wright State University Lake Campus, Office Of Institutional Research & Effectiveness, Wright State University, Princeton Review
2024-2025 Common Data Set - Wright State University Lake Campus, Office Of Institutional Research & Effectiveness, Wright State University, Princeton Review
Common Data Set
The 2024-2025 Common Data Set of Wright State University Dayton Campus from the Princeton Review. It includes data on admissions, student enrollment, faculty, class size, financial aid and other measures, using standard definitions that aid comparisons between schools.