Digital Commons Network^™

Impact Of International Travel And Diarrhea On Gut Microbiome And Resistome Dynamics, Manish Boolchandani, Kevin S Blake, Drake H Tilley, Miguel M Cabada, Drew J Schwartz, Sanket Patel, Maria Luisa Morales, Rina Meza, Giselle Soto, Sandra D Isidean, Chad K Porter, Mark P Simons, Gautam Dantas

2020-Current year OA Pubs

International travel contributes to the global spread of antimicrobial resistance. Travelers' diarrhea exacerbates the risk of acquiring multidrug-resistant organisms and can lead to persistent gastrointestinal disturbance post-travel. However, little is known about the impact of diarrhea on travelers' gut microbiomes, and the dynamics of these changes throughout travel. Here, we assembled a cohort of 159 international students visiting the Andean city of Cusco, Peru and applied next-generation sequencing techniques to 718 longitudinally-collected stool samples. We find that gut microbiome composition changed significantly throughout travel, but taxonomic diversity remained stable. However, diarrhea disrupted this stability and resulted in an increased abundance …

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 …

Cold Plasma Technology In Food Packaging, Kalpani Y. Perera, Jack Prendeville, Amit K. Jaiswal, Swarna Jaiswal

Articles

Cold plasma (CP) is an effective strategy to alter the limitations of biopolymer materials for food packaging applications. Biopolymers such as polysaccharides and proteins are known to be sustainable materials with excellent film-forming properties. Bio-based films can be used as an alternative to traditional plastic packaging. There are limitations to biopolymer packaging materials such as hydrophobicity, poor barrier, and thermos-mechanical properties. For this reason, biopolymers must be modified to create a packaging material with the desired applicability. CP is an effective method to enhance the functionality and interfacial features of biopolymers. It etches the film surface allowing for better adhesion …

An In Situ Afm Study Of Electrochemical Bismuth Film Deposition On A Glassy Carbon Substrate Electrode Using A Low Concentration Of Bismuth Ions, Ahmed Kreta, Samo B. Hočevar

Faculty Journal Articles

No abstract provided.

Nanoscopic Roughness Characterization Of Chitosan With Buried Graphene Oxide For Fuel Cell Application, Ahmed Kreta, Egon Pavlica, Mojca Božič, Gvido Bratina

Faculty Journal Articles

No abstract provided.

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 …

Nanoscale Imaging Of Antiferromagnetic Domains In Epitaxial Films Of Cr2O3 Via Scanning Diamond Magnetic Probe Microscopy, Adam Erickson, Syed Qamar Abbas Shah, Ather Mahmood, Ilja Fescenko, Christian H. Binek, Adbelghani Laraoui

Department of Mechanical and Materials Engineering: Faculty Publications

We report direct imaging of boundary magnetization associated with antiferromagnetic domains in magnetoelectric epitaxial Cr₂O₃ thin films using diamond nitrogen vacancy microscopy. We found a correlation between magnetic domain size and structural grain size which we associate with the domain formation process. We performed field cooling, i.e., cooling from above to below the Néel temperature in the presence of a magnetic field, which resulted in the selection of one of the two otherwise degenerate 180° domains. Lifting of such a degeneracy is achievable with a magnetic field alone due to the Zeeman energy of a weak …

A Phenomenological Study On Military Spouses Who Academically Persist To Graduation, Lasette Marie Doherty

Doctoral Dissertations and Projects

The purpose of this hermeneutic phenomenology was to understand the supportive experiences of military spouse students who academically persist to graduation. The theory guiding this study was Bean and Metzner’s non-traditional undergraduate student attrition model. Drawing from House’s social support definition that defines different types of support, this study’s central research question asked what role support played in the academic persistence of undergraduate military spouses. Sub-questions asked how emotional and instrumental support affected academic persistence with military spouse students. How emotional and instrumental support affected academic persistence during military separations was also asked. Eleven current and past military spouse students …

Helping Dreams Take Flight

DePaul Magazine

DePaul donor, alumna and corporate psychologist Becky Winkler establishes a scholarship to support equal access to education for underrepresented students in science, technology, engineering and math.

Probing Conformational Landscapes And Mechanisms Of Allosteric Communication In The Functional States Of The Abl Kinase Domain Using Multiscale Simulations And Network-Based Mutational Profiling Of Allosteric Residue Potentials, Keerthi Krishnan, Hao Tian, Peng Tao, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

In the current study, multiscale simulation approaches and dynamic network methods are employed to examine the dynamic and energetic details of conformational landscapes and allosteric interactions in the ABL kinase domain that determine the kinase functions. Using a plethora of synergistic computational approaches, we elucidate how conformational transitions between the active and inactive ABL states can employ allosteric regulatory switches to modulate intramolecular communication networks between the ATP site, the substrate binding region, and the allosteric binding pocket. A perturbation-based network approach that implements mutational profiling of allosteric residue propensities and communications in the ABL states is proposed. Consistent with …

Federated Learning Enables Big Data For Rare Cancer Boundary Detection, Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih-Han Wang, Patrick Foley, 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 …

Internship Portfolio-Hville Blast And Holtz Leather Co., Sarah Gronberg

Honors Capstone Projects and Theses

No abstract provided.

Dual-Country Middle School Science Air Quality Curriculum Guide, Cassandra R. Sendra

Honors Capstones

The focus of this unit is to engage and enrich students’ perspectives on the human impact on Earth in different areas of the world. This unit will allow students to interact and learn about students in another country, learn about the air quality similarities and differences and what could affect the results of testing the air quality in two communities in different parts of the world. The goal of this unit is to have the students understand how humans impact the world around them and to compare their community to another community. The students will be accomplishing this goal utilizing …

Impact Of Evs On Global Warming, Deweender Sharvin Sethu, Ho Kai Sheng, Khalish Marican

Introduction to Research Methods RSCH 202

This research aims to define the relationship between electric vehicles (EVs) and the total CO2 emissions of the world. The research question is “does the transition to EVs actually make an impact on the total CO2 emissions”. The dependent variable for this research is the total carbon emissions of 195 countries from 1990 to 2019. This secondary data is obtained from the World Bank. The key independent variable used is the total number of Tesla EVs sold in each country from 1990 to 2019. We use Tesla as the company has an exceptionally high market share in the EV market. …

Launch 2022, Otterbein Theatre And Dance Department

2022-2023 Season Productions

A fundraiser for the New York Senior Showcase, the ninety-minute program will include the favorite songs, dance, scenes and monologues of the Class of 2023. It will be an afternoon of celebration and joy, the perfect opportunity for you to see these rising stars one last time before they are “launched” into the professional world of show business. All proceeds, including donations beyond the admission fee, will benefit the NY Senior Showcase.

Ensemble Concerts: Wind Symphony, December 4, 2022, Anthony C. Marinello Iii, John Gonzalez

School of Music Programs

Center for the Performing Arts
December 4, 2022
Sunday Afternoon
3:00 p.m.

Biomechanical And Sensory Feedback Regularize The Behavior Of Different Locomotor Central Pattern Generators, Kaiyu Deng, Alexander J. Hunt, Nicholas Szczecinski, Matthew Tresch, Hillel J. Chiel, Charles Heckman, Roger Quinn

Mechanical and Materials Engineering Faculty Publications and Presentations

This work presents an in-depth numerical investigation into a hypothesized two-layer central pattern generator (CPG) that controls mammalian walking and how different parameter choices might affect the stepping of a simulated neuromechanical model. Particular attention is paid to the functional role of features that have not received a great deal of attention in previous work: the weak cross-excitatory connectivity within the rhythm generator and the synapse strength between the two layers. Sensitivity evaluations of deafferented CPG models and the combined neuromechanical model are performed. Locomotion frequency is increased in two different ways for both models to investigate whether the model’s …

Digital Technologies' Trends And Challenges In Improving Building Facades' Thermal Performance Case Study Riyadh, Saudi Arabia, Nouf Alomairi, Ahmed Omar Mostafa

Mansoura Engineering Journal

Nowadays, the concept of sustainability in architecture has significantly developed and its related interest has increased. Due to the importance role of building facades in achieving sustainability, many papers discussed new ways and techniques for developing building facades in order to improve its thermal performance. Despite the fact that significant advancements in digital technologies assist designers in improving the efficiency of buildings’ thermal performance, the use of such technologies in improving existing building facades is still below the desired level. As a result, the goal of this study is to investigate top trends and challenges of digital technologies in improving …

Veteran Journalist Leads Exploration Of University And State, Lareeca Rucker

University of Mississippi News

Honors College class focuses on issues and progress 60 years after Meredith enrollment

American Attitudes Toward Nuclear Energy, Eric J. Kirchman

Honors Capstones

Despite the mature underlying technology behind nuclear energy production, public support varies widely among the American public and has often changed over time. This paper seeks to analyze patterns in Americans’ attitudes towards nuclear energy using aggregate polling data from previously collected national public surveys. Standard demographics such as age, education, and political affiliation are utilized in cross-sectional comparisons against public opinion. Males, conservatives and Republicans were found to have strong positive responses towards nuclear energy. Furthermore, time-series data indicates nuclear energy fell out of favor in the early 1980s. It was later favored again in the early 2000s. This …

Children And Technology: Why Technology Is Important For Our Children, Jill Mactiernan

Student Theses

Many people get scared when they hear about how much technology runs the world today. They tend to get frightened when they go to a store and have to use a selfcheckout instead of a cashier. Parents are scared of the dangers of the internet and how it will affect their children, so they tend to try to prevent/limit their children’s usage of the internet and other technologies. However, that may not always be the right move. Technology can not be avoided; it is a part of our everyday lives. With proper guidance and teachings, children can learn how to …

Teaching A Hybrid Administrative Law Simulation Class Using Jurassic Park, Roberto L. Corrada

Journal of Legal Education

No abstract provided.

Student Success And Evaluation Metrics, Ricky L. Singletary Jr, Andrew I. Morgan, Elena S. Van Zanten

Senior Design Project For Engineers

In so many instances, students drift through high school and are unaware of what types of job opportunities are out there for them. It is easy to see that a student can get overwhelmed by the number of career options, or they may not know what they want to do at all. The Blue Barred has generated a solution that allows students to see their options much more clearly through the analysis of six factors and their contribution to success: Engagement, Value Added Learning, Network-ability, Literacy, Numeracy, and Graduation Rates. Through the usage of tools such as literary research, surveys, …

Understanding And Encountering The Ethics Of Self And Others In Autoethnography: Challenging The Extant And Exploring Possibilities, Niroj Dahal, Bal Chandra Luitel

The Qualitative Report

In cultural and institutional contexts, autoethnography examines personal and professional experiences. While conducting and representing autoethnography, these considerations raise ethical challenges for self and others. This expository paper examines and explores the various forms of the ethics of self and others in autoethnography in South Asian contexts. Furthermore, ethical positions in an autoethnographic inquiry are presented and explored by challenging the extant and exploring the possibilities. Moreover, ethical standards are maintained based on the first author's experiences. We also realized that the emerging challenges of the ethics of self and others in autoethnography are ongoing and real. Likewise, we brought …

Additive Manufacturing Process Development Of Geopolymer Based Habitable Construction On Space, Husnain Khan, John Anthony, Maria Hashmi, Charudatta Mhasde

Publications and Research

Extraterrestrial travel and housing are topics that have come up in recent times. There is a possibility of living on the moon. Now geopolymers are solid ceramic-like materials at near ambient temperatures. In order to do that while keeping costs at a minimum, we are researching and developing a geopolymer using lunar dust to 3D print houses on the moon. Due to the fact we are using lunar dust, the number of materials that need to be shipped out gets cut dramatically. We are studying the composition of both lunar mares and lunar highlands in order to fully understand what …

Functions Approximation By Spectral Graph Wavelets, Hawraa Abbas Almurieb, Ali Saeed Almshlab

Al-Bahir

Approximating function by using Spectral Graph Wavelets is an interesting direction in approximation theory. We essential to well choosing the space of functions that are approximated by Spectral Graph Wavelets. spaces of functions are fantastic choices to study It is more interesting to take the value . In this paper , new formulas of Spectral Graph Wavelets were constructed and proved to get good rates of approximation. Fundamental properties of Graph Wavelets transform ( GWT) are studied, such as, inversion , scaling Limit and approximation Wavelets. Finally , existence of best approximation can be concluded here for Graph functions in …

Utilizing Interprofessional Collaboration To Support And Broaden Perspectives Of First-Generation, Low-Income Students, Taylor Stratman

Social Work Masters Capstone Projects

First-gen, low-income students face significant barriers when it comes to postsecondary education. In order to be successful, professionals working with this population has utilized value-led programming and provided expansions of their cultural perspectives.

The Spray-On Bio-Bandage, Kristine Peterson, Amanda Moravek, Abby Edward

Fall Student Research Symposium 2022

Fibrin is a natural polymer already used in extreme clinical settings as an adhesive and for shallow wounds when activated by the enzyme thrombin. However, current formations contain irritants, are slow drying, and are not easily washed off. This study used a spray-on bandage composed of thrombin and fibrinogen on a monolayer of 3T3 mouse fibroblast cells to test the enhancement of the body's natural healing without the risks of current formulations. The viability and growth of scratched cells were analyzed using live/dead stain assays 0, 1, and 3 days post-treatment. The results of this study showed cell growth, fibrinogen …

University Singers And University Chorale - Winter Concert, John J. Cali School Of Music

2022-2023

The University Singers proudly present Highlights from Messiah in preperation for their return to the New Jersey Symphony Orchestr performances under the baton of Maestra Xian Zhang. Join the choir, brass, and percussion for the "Hallelujah Chorus" - Alumni singers welcome on stage.

The University Chorale will perform Psalms for the Symphonic Choir featuring "Richte mich, Gott" (Mendelssohn), "Like as the hart deireth the waterbrooks" (Howells), Chichester Psalms (Bernstein), and "Jubilate Deo" from Tres Cantus Laudendi (Wiberg). Guest artists Vincent Carr (organ), Merynda Adams (harp), Taylor Goodson (timpani), plus student brass and percussion. Bernstein soli TBA.

Dance Nation, Department Of Theatre And Dance

Fall 2022

Somewhere in Harrington, Ohio, a competitive dance team of turbulent 13-year-olds are forging a dance revolution while their older selves look on. Luminous with possibility and ravaged by insecurity, the characters grapple with the rawness and agonizing tenderness of adolescence.