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Calculation Of Optical Constants Of As40s60-Xsex Thick Films With High Accuracy Using Wedge Shape Optical Model, A. Almohammedi Jan 2023

Calculation Of Optical Constants Of As40s60-Xsex Thick Films With High Accuracy Using Wedge Shape Optical Model, A. Almohammedi

International Journal of Thin Film Science and Technology

This work has been focused primarily on the extraction of thicknesses, optical, and AC electrical parameters for as-prepared As40S60-xSex thin films, with (x=0, 20, 40, and 60 at. %). The thickness of such films has been calculated by the wedge method depending on the transmission spectra of their shrinkage in the range of 400 to 2500 nm. Swanepoels wedge relationships have been solved using the Mathcad 2000 program by minerr function to extract the film’s thickness. Depending on the obtained thickness of studied the thin films, the main optical parameters have been determined. The structural aspects of the studied thin …

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Preparation And Study Of Properties Of Cdo: Al Thin Films Prepared By Chemical Spraying, Noor Sabah Sadeq, Mustafa A. Hassan, Zaid G. Mohammadsalih Jan 2023

Preparation And Study Of Properties Of Cdo: Al Thin Films Prepared By Chemical Spraying, Noor Sabah Sadeq, Mustafa A. Hassan, Zaid G. Mohammadsalih

International Journal of Thin Film Science and Technology

The studies that are related to transparent conducting oxides and the consistent motivation to improve their different characteristics have been increasingly conducted. In this work, pristine and Aluminium doped cadmium oxide, CdO: Al thin films, were synthesized by a deposition over a substrate made from glass employing spray pyrolysis technique for several Al fractions (0, 3.0, and 6.0) v/v %. The effect of Al dopant on the microstructure, morphological, optical and electrical characterisation of CdO thin films were investigated elaborately. Pure CdO and (Al: CdO) exhibited face centred cubic structure with strong peak of 200 that reflected a preferential growth. …

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Pressure-Induced Charge Orders And Their Postulated Coupling To Magnetism In Hexagonal Multiferroic Lufe2O4, Fengliang Liu, Yiqing Hao, Jinyang Ni, Yongsheng Zhao, Dongzhou Zhang, Gilberto Fabbris, Daniel Haskel, Shaobo Cheng, Xiaoshan Xu, Lifeng Yin, Hongjun Xiang, Jun Zhao, Xujie Lü, Wenbin Wang, Jian Shen, Wenge Yang Jan 2023

Pressure-Induced Charge Orders And Their Postulated Coupling To Magnetism In Hexagonal Multiferroic Lufe2O4, Fengliang Liu, Yiqing Hao, Jinyang Ni, Yongsheng Zhao, Dongzhou Zhang, Gilberto Fabbris, Daniel Haskel, Shaobo Cheng, Xiaoshan Xu, Lifeng Yin, Hongjun Xiang, Jun Zhao, Xujie Lü, Wenbin Wang, Jian Shen, Wenge Yang

Department of Physics and Astronomy: Faculty Publications

Hexagonal LuFe2O4 is a promising charge order (CO) driven multiferroic material with high charge and spin-ordering temperatures. The coexisting charge and spin orders on Fe3+/Fe2+ sites result in magnetoelectric behaviors, but the coupling mechanism between the charge and spin orders remains elusive. Here, by tuning external pressure, we reveal three charge-ordered phases with suggested correlation to magnetic orders in LuFe2O4: (i) a centrosymmetric incommensurate three-dimensional CO with ferrimagnetism, (ii) a non-centrosymmetric incommensurate quasi-two-dimensional CO with ferrimagnetism, and (iii) a centrosymmetric commensurate CO with antiferromagnetism. Experimental in situ single-crystal X-ray diffraction …

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Evaluation Of Artificial Intelligence Algorithms With Sensor Data Assimilation In Estimating Crop Evapotranspiration And Crop Water Stress Index For Irrigation Water Management, Abia Katimbo, Daran Rudnick, Jingwen Zhang, Yufeng Ge, Kendall C. Dejonge, Trenton E. Franz, Yeyin Shi, Wei‑Zhen Liang, Xin Qiao, Derek M. Heeren, Isa Kabenge, Hope Njuki Nakabuye, Jiaming Duan Jan 2023

Evaluation Of Artificial Intelligence Algorithms With Sensor Data Assimilation In Estimating Crop Evapotranspiration And Crop Water Stress Index For Irrigation Water Management, Abia Katimbo, Daran Rudnick, Jingwen Zhang, Yufeng Ge, Kendall C. Dejonge, Trenton E. Franz, Yeyin Shi, Wei‑Zhen Liang, Xin Qiao, Derek M. Heeren, Isa Kabenge, Hope Njuki Nakabuye, Jiaming Duan

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Irrigation water management using automated irrigation decision support system (IDSS) as a smart irrigation scheduling tool can improve water use efficiency and crop production, especially under circumstances of limited water supply. The current study evaluated the performance of different artificial intelligence (AI) algorithms and their ensembles in forecasting Crop Evapotranspiration (ETc) and Crop Water Stress Index (CWSI) against calculated single crop coefficient FAO56 ETc and Jackson’s theoretical CWSI, respectively. Soil moisture, canopy temperatures (Tc) and Normalized Difference Vegetation Index (NDVI) were all measured from irrigated and non-irrigated maize plots in West Central Nebraska during 2020 …

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An Overview Of Content-Basedimage Retrieval Methods And Techniques, M H. Hadid, Qasim Mohammed Hussein, Z T. Al-Qaysi, M A. Ahmed, Mahmood M. Salih Jan 2023

An Overview Of Content-Basedimage Retrieval Methods And Techniques, M H. Hadid, Qasim Mohammed Hussein, Z T. Al-Qaysi, M A. Ahmed, Mahmood M. Salih

Iraqi Journal for Computer Science and Mathematics

With the development of Internet technology and the popularity of digital devices, Content-Based Image Retrieval (CBIR) has been quickly developed and applied in various fields related to computer vision and artificial intelligence. Currently, it is possible to retrieve related images effectively and efficiently from a large-scale database with an input image. In the past ten years, great efforts have been made for new theories and models of CBIR, and many effective CBIR algorithms have been established.Content-based image retrieval helps to discover identical images in a big dataset that match a query image. The query image's representative feature similarities to the …

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Artificial Intelligence: Past, Present And Future, James R. Couch Jan 2023

Artificial Intelligence: Past, Present And Future, James R. Couch

Journal of the South Carolina Academy of Science

No abstract provided.

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Microplastics And Tire Wear Particles In South Carolina Coastal Waters: Sources, Pathways, And Toxicity, John E. Weinstein Jan 2023

Microplastics And Tire Wear Particles In South Carolina Coastal Waters: Sources, Pathways, And Toxicity, John E. Weinstein

Journal of the South Carolina Academy of Science

No abstract provided.

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The Boozi Device’S Effect On Aroma Compounds In Distilled Spirits, Drew Budner, Lindsey Bell, Katherine Thompson-Witrick Jan 2023

The Boozi Device’S Effect On Aroma Compounds In Distilled Spirits, Drew Budner, Lindsey Bell, Katherine Thompson-Witrick

Journal of the South Carolina Academy of Science

The BooZi is a commercially available flavor-modifying device that claims to remove the negative flavor agents (congeners) from a number of different types of distilled spirits and wines. SPME was utilized for the extraction of the volatile and semi-volatile compounds within each sample. The analysis of the compounds found in the samples following exposure to the BooZi device were analyzed using a GC-MS. The most significant changes regarding the aroma profile of the distilled spirits were noticeable following 96 hours of exposure. The BooZi device was shown to be effective in reducing the concentration of a number of compounds, including …

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Host Galaxies Of Tidal Disruption Events, Megha Madhusudhan Jan 2023

Host Galaxies Of Tidal Disruption Events, Megha Madhusudhan

University Departments

No abstract provided.

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Hardvoting Approach Using Svm, Naïve Bays And Decision Tree Forkurdish Fake Newsdetection, Rania Azad M. San Ahmed Jan 2023

Hardvoting Approach Using Svm, Naïve Bays And Decision Tree Forkurdish Fake Newsdetection, Rania Azad M. San Ahmed

Iraqi Journal for Computer Science and Mathematics

In today's age of excessive information, the proliferation of fake news has emerged as a significant challenge, eroding the trustworthiness of news sources and posing serious threats to society. With the advent of social media and the internet, false information spreads more easily, necessitating the development of effective methods to identify and prevent its dissemination.While machine learning models have been widely employed to classify text data as authentic or fake, the majority of existing research has primarily focused on well-resourced languages such as English, leaving low-resourced languages like Kurdish largely overlooked. To address this gap, our proposed work introduces a …

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Deep Transfer Learning For Approximate Model Predictive Control, Samuel Arce Munoz, Junho Park, Cristina M. Stewart, Adam M. Martin, John Hedengren Jan 2023

Deep Transfer Learning For Approximate Model Predictive Control, Samuel Arce Munoz, Junho Park, Cristina M. Stewart, Adam M. Martin, John Hedengren

Faculty Publications

Transfer learning is a machine learning technique that takes a pre-trained model that has already been trained on a related task, and adapts it for use on a new, related task. This is particularly useful in the context of model predictive control (MPC), where deep transfer learning is used to improve the training of the MPC by leveraging the knowledge gained from related controllers. One way in which transfer learning is applied in the context of MPC is by using a pre-trained deep learning model of the MPC, and then fine-tuning the controller training for a new process automation task. …

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Divergent Directionality Of Immune Cell-Specific Protein Expression Between Bipolar Lithium Responders And Non-Responders Revealed By Enhanced Flow Cytometry, Keming Gao, Nicholas M. Kaye, Marzieh Ayati, Mehmet Koyuturk, Joseph R. Calabrese, Eric Christian, Hillard M. Lazarus, David Kaplan Jan 2023

Divergent Directionality Of Immune Cell-Specific Protein Expression Between Bipolar Lithium Responders And Non-Responders Revealed By Enhanced Flow Cytometry, Keming Gao, Nicholas M. Kaye, Marzieh Ayati, Mehmet Koyuturk, Joseph R. Calabrese, Eric Christian, Hillard M. Lazarus, David Kaplan

Computer Science Faculty Publications

Background and Objectives: There is no biomarker to predict lithium response. This study used CellPrint™ enhanced flow cytometry to study 28 proteins representing a spectrum of cellular pathways in monocytes and CD4+ lymphocytes before and after lithium treatment in patients with bipolar disorder (BD). Materials and Methods: Symptomatic patients with BD type I or II received lithium (serum level ≥ 0.6 mEq/L) for 16 weeks. Patients were assessed with standard rating scales and divided into two groups, responders (≥50% improvement from baseline) and non-responders. Twenty-eight intracellular proteins in CD4+ lymphocytes and monocytes were analyzed with CellPrint™, an enhanced flow …

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"Semiclassical Mastermind", Curtis Bair, Alexa S. Cunningham, Joshua Qualls Jan 2023

"Semiclassical Mastermind", Curtis Bair, Alexa S. Cunningham, Joshua Qualls

Posters-at-the-Capitol

Games are often used in the classroom to teach mathematical and physical concepts. Yet the available activities used to introduce quantum mechanics are often overwhelming even to upper-level students. Further, the "games" in question range in focus and complexity from superficial introductions to games where quantum strategies result in decidedly nonclassical advantages, making it nearly impossible for people interested in quantum mechanics to have a simple introduction to the topic. In this talk, we introduce a straightforward and newly developed "Semiclassical Mastermind" based on the original version of mastermind but replace the colored pegs with 6 possible qubits (x+, x-, …

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The Future Of Pandemics: Land Use Controls As Means Of Preventing Zoonotic Disease, Bailey Andree Jan 2023

The Future Of Pandemics: Land Use Controls As Means Of Preventing Zoonotic Disease, Bailey Andree

Pace International Law Review

Zoonotic diseases are increasing in frequency as climate change worsens around the world, with the recent COVID-19 pandemic highlighting the inadequate mechanisms in place to counteract disease spread. This article reviews various zoonotic diseases and their patterns of spread, highlighting land use change as the key driver of disease to demonstrate the need for legal intervention. International land use law is a little-developed subsect of environmental law that holds the key to combating this disease spread, and this article proposes solutions through this legal lens. Land use techniques which may be used to combat disease spread include conservation laws, setback …

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Identifying Factors To Develop And Validate A Heat Vulnerability Tool For Pakistan – A Review, Salman Muhammad Soomar, Sarmad Muhammad Soomar Jan 2023

Identifying Factors To Develop And Validate A Heat Vulnerability Tool For Pakistan – A Review, Salman Muhammad Soomar, Sarmad Muhammad Soomar

Department of Emergency Medicine

Objective: This review will provide better insight into developing and validating a heat vulnerability assessment tool for Pakistan.
Methods: A literature search was done to identify studies onon heat vulnerability assessment published from January 2012 to January 2021 (10 years). Online databases PubMed, Google Scholar, Scopus, and Web of science were used for the literature search.
Results: Heat vulnerability can be evaluated by some specific determinants that have heat-related health events, including social, economic, environmental, housing, and geographical factors.
Conclusion: This tool will identify heat vulnerability risks and mitigate morbidity and mortality.

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Temperature Fluctuation Alters Optimal Predator Community Composition For Anticipated Biological Control, Amanda N. Laubmeier, Nusrat Tabassum, Brigitte Tenhumberg Jan 2023

Temperature Fluctuation Alters Optimal Predator Community Composition For Anticipated Biological Control, Amanda N. Laubmeier, Nusrat Tabassum, Brigitte Tenhumberg

School of Biological Sciences: Faculty Publications

Alongside pesticides and specialist predators, natural communities of generalist beetle and spider predators play an important role in suppressing agricultural pests. However, the predation pressure of natural communities can be unpredictable. Overall predation pressure is influenced by a dense network of potential intraguild interactions, which are further shaped by species traits and environmental factors. Understanding how these different influences combine to impact pest control is especially important in the context of changing global temperatures. Recent empirical studies have demonstrated that the foraging behavior of arthropod predators is influenced by an interaction between temperature and predator body size. To explore the …

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Main Challenges (Generation And Returnedenergy) In A Deep Intelligent Analysis Technique For Renewable Energy Applications, Samaher Al Janabi, Ghada S. Mohammed, Thekra Abbas Jan 2023

Main Challenges (Generation And Returnedenergy) In A Deep Intelligent Analysis Technique For Renewable Energy Applications, Samaher Al Janabi, Ghada S. Mohammed, Thekra Abbas

Iraqi Journal for Computer Science and Mathematics

In recent years, there has been an increasing demand for Renewable Energy (RE), which refers to energy generated from natural sources such as solar and wind power. Consequently, numerous scientific studies have been conducted to explore various approaches for controlling this type of energy. This work aims to highlight the main challenges associated with the generation and return of RE by employing intelligent data analysis techniques, specifically deep learning. These challenges are examined from differentperspectives, including pre-processing, the methodology and techniques used in deep learning, and the evaluation measures employed. Some of the research in this area is focused on …

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The Evolution Of Life History Traits And Their Thermal Plasticity In Daphnia, Larry L. Bowman Jr., David M. Post Jan 2023

The Evolution Of Life History Traits And Their Thermal Plasticity In Daphnia, Larry L. Bowman Jr., David M. Post

ETSU Faculty Works

Few studies have explored the relative strength of ecogeographic versus lineage-specific effects on a global scale, particularly for poikilotherms, those organisms whose internal temperature varies with their environment. Here, we compile a global dataset of life history traits in Daphnia, at the species-and population-level, and use those data to parse the relative influences of lineage-specific effects and climate. We also compare the thermal response (plasticity) of life history traits and their dependence on climate, temperature, precipitation, and latitude. We found that the mode of evolution for life history traits varies but that the thermal response of life history traits most …

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Towards An Unsupervised Bayesian Network Pipeline For Explainable Prediction, Decision Making And Discovery, Daniel Mallia Jan 2023

Towards An Unsupervised Bayesian Network Pipeline For Explainable Prediction, Decision Making And Discovery, Daniel Mallia

Theses and Dissertations

An unsupervised learning pipeline for discrete Bayesian networks is proposed to facilitate prediction, decision making, discovery of patterns, and transparency in challenging real-world AI applications, and contend with data limitations. We explore methods for discretizing data, and notably apply the pipeline to prediction and prevention of preterm birth.

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Ageanno: A Knowledgebase Of Single-Cell Annotation Of Aging In Human, Kexin Huang, Hoaran Gong, Jingjing Guan, Lingxiao Zhang, Changbao Hu, Weiling Zhao, Liyu Huang, Wei Zhang, Pora Kim, Xiaobo Zhou Jan 2023

Ageanno: A Knowledgebase Of Single-Cell Annotation Of Aging In Human, Kexin Huang, Hoaran Gong, Jingjing Guan, Lingxiao Zhang, Changbao Hu, Weiling Zhao, Liyu Huang, Wei Zhang, Pora Kim, Xiaobo Zhou

Faculty, Staff and Student Publications

Aging is a complex process that accompanied by molecular and cellular alterations. The identification of tissue-/cell type-specific biomarkers of aging and elucidation of the detailed biological mechanisms of aging-related genes at the single-cell level can help to understand the heterogeneous aging process and design targeted anti-aging therapeutics. Here, we built AgeAnno (https://relab.xidian.edu.cn/AgeAnno/#/), a knowledgebase of single cell annotation of aging in human, aiming to provide comprehensive characterizations for aging-related genes across diverse tissue-cell types in human by using single-cell RNA and ATAC sequencing data (scRNA and scATAC). The current version of AgeAnno houses 1 678 610 cells from 28 healthy …

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Spascer: Spatial Transcriptomics Annotation At Single-Cell Resolution, Zhiwei Fan, Yangyang Luo, Huifen Lu, Tiangang Wang, Yuzhou Feng, Weiling Zhao, Pora Kim, Xiaobo Zhou Jan 2023

Spascer: Spatial Transcriptomics Annotation At Single-Cell Resolution, Zhiwei Fan, Yangyang Luo, Huifen Lu, Tiangang Wang, Yuzhou Feng, Weiling Zhao, Pora Kim, Xiaobo Zhou

Faculty, Staff and Student Publications

In recent years, the explosive growth of spatial technologies has enabled the characterization of spatial heterogeneity of tissue architectures. Compared to traditional sequencing, spatial transcriptomics reserves the spatial information of each captured location and provides novel insights into diverse spatially related biological contexts. Even though two spatial transcriptomics databases exist, they provide limited analytical information. Information such as spatial heterogeneity of genes and cells, cell-cell communication activities in space, and the cell type compositions in the microenvironment are critical clues to unveil the mechanism of tumorigenesis and embryo differentiation. Therefore, we constructed a new spatial transcriptomics database, named SPASCER (https://ccsm.uth.edu/SPASCER), …

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Pickles V3: The Updated Database Of Pooled In Vitro Crispr Knockout Library Essentiality Screens, Lance C Novak, Juihsuan Chou, Medina Colic, Christopher A Bristow, Traver Hart Jan 2023

Pickles V3: The Updated Database Of Pooled In Vitro Crispr Knockout Library Essentiality Screens, Lance C Novak, Juihsuan Chou, Medina Colic, Christopher A Bristow, Traver Hart

Faculty, Staff and Student Publications

PICKLES (https://pickles.hart-lab.org) is an updated web interface to a freely available database of genome-scale CRISPR knockout fitness screens in human cell lines. Using a completely rewritten interface, researchers can explore gene knockout fitness phenotypes across cell lines and tissue types and compare fitness profiles with fitness, expression, or mutation profiles of other genes. The database has been updated to include data from three CRISPR libraries (Avana, Score, and TKOv3), and includes information from 1162 whole-genome screens probing the knockout fitness phenotype of 18 959 genes. Source code for the interface and the integrated database are available for download.

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Development Of Robotto Improvelearning Of Programming Skills Among Students, Aminu Aminu Muazu, Ahmad Sobri Hashim, Mohammad Ateff Md Yusof, Noreen Izza Arshad Jan 2023

Development Of Robotto Improvelearning Of Programming Skills Among Students, Aminu Aminu Muazu, Ahmad Sobri Hashim, Mohammad Ateff Md Yusof, Noreen Izza Arshad

Iraqi Journal for Computer Science and Mathematics

The Fourth Industrial Revolution (IR4.0) has shifted the mindsets of engineering students on the importance of IT skills for current and future engineering related jobs. Nowadays, programming is the most fundamental skill that needs to be learnt by the studentsusing mBot technology.ThemBot technology is consider as programmable educational robot designed for beginners to learn basic programming concepts which can be assessed and evaluated via bloom's taxonomy framework. Itcan bea daunting task to learn programming, especially to new students who do not have any prior experience in coding. Average and low performing students are lacking algorithmic skills, where they could not …

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Intelligent Detection Of Distributed Denial Of Service Attacks: A Supervised Machine Learning And Ensemble Approach, Mustafa S. Ibrahim Alsumaidaie, Khattab M. Ali Alheeti, Abdul Kareem Alaloosy Jan 2023

Intelligent Detection Of Distributed Denial Of Service Attacks: A Supervised Machine Learning And Ensemble Approach, Mustafa S. Ibrahim Alsumaidaie, Khattab M. Ali Alheeti, Abdul Kareem Alaloosy

Iraqi Journal for Computer Science and Mathematics

The rapid growth ofThe Internet of Things (IoT), intelligent devices, and 5G networks has increased the prevalence and complexity of Distributed Denial of Service (DDoS) attacks, posing significantchallenges to cybersecurity. The objective of this research is to develop an effective method to detect and prevent DDoS attacks, thereby safeguarding communication systems from such threats. The proposed "Intelligent Distributed Denial of Service AttacksDetection (IDDOSAD) Approach"utilizes supervised machine learning algorithms, includingRandom Forests, Decision Trees, K-Nearest Neighbor, XGBoost, and Support Vector Machine, along with ensemble learning to enhance detection accuracy. Themodel development process consists of datacollection, pre-processing, splitting into training and testing sets, …

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Detecting Abnormal Driving Behavior Using Modified Densenet, Aisha Ayad, Matheel E. Abdulmunim Jan 2023

Detecting Abnormal Driving Behavior Using Modified Densenet, Aisha Ayad, Matheel E. Abdulmunim

Iraqi Journal for Computer Science and Mathematics

Car accidents have serious consequences, including depletion of resources, harm to humanhealth and well-being, and social problems. The three primary factors contributing to car accidents are drivererror, external factors, and vehicle-related factors. The main objective of this paper is to address the issue of car accidents caused by drivererror. To achieve this goal, asolution is proposed in the form of a modified version of the Dense model, called the 1Dimention-DenseNet,specifically designed to detect abnormal driving behavior. The model incorporates adapted dense blocks and transitionlayers, which enable it to accurately identify patterns indicative of abnormal driving behavior.This papercompares the performance of …

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Is Doing Research For People Or On People? A Book Review Of Emancipatory And Participatory Research For Emerging Educational Researchers: Theory And Case Studies Of Research In Disabled Communities, Niroj Dahal Jan 2023

Is Doing Research For People Or On People? A Book Review Of Emancipatory And Participatory Research For Emerging Educational Researchers: Theory And Case Studies Of Research In Disabled Communities, Niroj Dahal

The Qualitative Report

A book review is a critical assessment of a book. It provides a summary of the content and assesses the book's value in terms of its relevance and quality. The purpose of a book review is to help readers decide whether or not they should read the book. In with this line of purpose, the book entitled, Emancipatory and Participatory Research for Emerging Educational Researchers: Theory and Case Studies of Research in Disabled Communities, written by Joe Barton and Simon Hayhoe and published by Routledge in the year 2022, I conducted my review organized by the following questions -- …

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Three-Stage Conversion Of Chemically Inert N-Heptane To Α-Hydrazino Aldehyde Based On Bioelectrocatalytic C-H Bond Oxyfunctionalization, N. Samali Weliwatte, Hui Chen, Tianhua Tang, Shelley D. Minteer Jan 2023

Three-Stage Conversion Of Chemically Inert N-Heptane To Α-Hydrazino Aldehyde Based On Bioelectrocatalytic C-H Bond Oxyfunctionalization, N. Samali Weliwatte, Hui Chen, Tianhua Tang, Shelley D. Minteer

Chemistry Faculty Research & Creative Works

Simple petrochemical feedstocks are often the starting material for the synthesis of complex commodity and fine and specialty chemicals. Designing synthetic pathways for these complex and specific molecular structures with sufficient chemo-, regio-, enantio-, and diastereo-selectivity can expand the existing petrochemicals landscape. the two overarching challenges in designing such pathways are selective activation of chemically inert C-H bonds in hydrocarbons and systematic functionalization to synthesize complex structures. Multienzyme cascades are becoming a growing means of overcoming the first challenge. However, extending multienzyme cascade designs is restricted by the arsenal of enzymes currently at our disposal and the compatibility between specific …

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Full Issue: Summer 2016 Jan 2023

Full Issue: Summer 2016

DePaul Magazine

This issue of DePaul Magazine recounts the story of alumni Olympian Mabel “Dolly” Staton (EDU ’55) who competed at the 1952 Olympics in Helsinki. Also, learn how DePaul’s Institute for Housing Studies and others examine gentrification in Chicago, find out about DePaul students participating in The Cities Project to help children with the stress of living in urban poverty, and meet alumni who curate exhibitions at museums and galleries.

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Full Issue: Spring 2017 Jan 2023

Full Issue: Spring 2017

DePaul Magazine

In this issue of DePaul Magazine we review the evolution of DePaul as a leader in higher education and, specifically, the university’s accomplishments during the presidency of the Rev. Dennis H. Holtschneider, C.M.

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Full Issue: Winter 2018 Jan 2023

Full Issue: Winter 2018

DePaul Magazine

In this issue of DePaul Magazine meet outstanding alumni and faculty who are changing the face of their industries, including playwright Bonnie Greer (LAS ’74), financial service innovators Carolyn Leonard (BUS ’64) and Monika Black (CSH PhD ’12), feminist website co-founder and co-editor Sarah Pappalardo (CMN ’07, LAS MA ’08) and women faculty filmmakers at DePaul’s School of Cinematic Arts.

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