Digital Commons Network^™

The Pedagogy And Politics Of Racial Passing: Examining Media Literacy In Turn-Of-The-Century Activist Periodicals, Tara Propper

Dialogue: The Interdisciplinary Journal of Popular Culture and Pedagogy

This article explores how we can use African American activist media to theorize the role of pedagogy in the public sphere. Focusing on how racial passing stories expose the limiting (and often tropic) binaries through which racial identity is deciphered, this analysis further highlights the extent to which these binary constructions of identity are learned through media narration.

Using the December 1912, issue of W. E. B. Du Bois’s Crisis Magazine as a touchstone for investigation, this analysis considers how pedagogy is taken up as both a theme and project in the magazine. Foregrounding the degree to which Crisis critiques …

Finding The Frontier: How To Identify Engineering Hot Papers And Research Gaps, Ibis Anette Moreno-Lozano, Ricardo Arencibia

Day Family Research Lab Workshop Series

This workshop will empower participants to identify "hot papers" that are shaping the future of the field. Also, participants will learn strategic methods for analyzing research landscapes, spotting innovative topics, and uncovering gaps that can spark new research projects.

Permission Recommendation For Android Applications: Leveraging Natural Language Processing On App Descriptions, Saeed Salem Al Shebli

Thesis/ Dissertation Defenses

This study develops an NLP-based system to recommend essential permissions for Android apps by analyzing app descriptions. It leverages advanced models, including LSTM and ensemble techniques, to align permissions with app functionality while minimizing unnecessary requests.

Spartan Daily, November 6, 2024, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2024

Volume 163, Issue 32

Commonwealth Times 2024-11-06

Commonwealth Times, 1969-

No abstract provided.

Using Academic Librarians And The Academic Library: Survey Results From Mathematics Faculty In United States And Canada, Elizabeth Novosel, Daniel G. Kipnis, Jenni Burke, Rasitha Jayesekera

Libraries Scholarship

Presented at STEM Librarian South Conference, November 6, 2024

Despite our diligent outreach and relationship-building efforts, certain groups of faculty within STEM disciplines remain hesitant to engage with academic librarians and utilize library resources. This challenge raises a critical question: How can librarians effectively support a department when faculty members are unresponsive?

Our research team, composed of three frustrated mathematics librarians and one mathematics faculty member, recognized the need for a fresh approach. Mathematics, a department known for its independence, has received limited attention in scholarly Library and Information Science (LIS) literature. To address this gap, we embarked on a …

Likert Scale Variables In Personal Finance Research: The Neutral Category Problem, Blain Pearson, Donald Lacombe, Nasima Khatun

Finance and Economics

Personal finance research often utilizes Likert-type items and Likert scales as dependent variables, frequently employing standard probit and ordered probit models. If inappropriately modeled, the "neutral" category of discrete dependent variables can bias estimates of the remaining categories. Through the utilization of hierarchical models, this paper demonstrates a methodology that accounts for the econometric issues of the neutral category. We then analyze the technique through an empirical exercise relevant to personal finance research using data from the National Financial Capability Study. We demonstrate that ignoring the "neutral" category bias can lead to incorrect inferences, hindering the progression of personal finance …

Professional Fraternity Model Brings Success To Ud's Society Of Sales Engineers, University Of Dayton

Blog: The Dayton Engineer

The University of Dayton’s Society of Sales Engineers (SSE) is on a fast track to success. Started in the fall of 2022, the student organization has grown from 5 student members to over 100.

Environmental Aspects Of Braking: Analysis Of Wear Particles From Friction Brakes, Abhiram Yendluri

Research Papers

No abstract provided.

The Lumberjack, November 06, 2024

Cal Poly Humboldt's Student Newspaper

The student newspaper of Humboldt State University.

The Impact Of Cash Holding Decisions On Firm Performance In The It Industry, Jaeseong Lim, Bong Keun Jeong

Accounting

This study examines the relationship between corporate cash holdings and firm performance within the IT industry, which is characterized by intense competition and rapid technological advancements. We propose an integrated framework that combines principal component analysis (PCA), machine learning (ML) algorithms, and Shapley additive explanation (SHAP) values to estimate and interpret model outcomes. Based on 21,051 corporate financial statement data items from 2004 and 2023, the empirical evidence supports an inverted U-shaped relationship between cash holdings and profitability, suggesting that holding either too little or too much cash is suboptimal. Among the tested models, the random forest demonstrates the highest …

Ignis: A One-Dimensional Laminar Flame Code, Jansen P. Berryhill, Jacob K. Spinti, David O. Lignell

Faculty Publications

Laminar flame codes have an important role in combustion modeling. They can provide a fundamental understanding of flame dynamics and provide a basis for building subgrid scale models in turbulent flow simulations. This paper presents Ignis, an open-source laminar flame code with the capability to offload submodels, like soot formation and radiation, using external packages and libraries. Ignis is written in C++, is documented with Doxygen, and is available on GitHub. It contains three different flame formulations: diffusion flames, premixed flames, and laminar flamelets solved in the mixture fraction coordinate. An option to facilitate creation of a diffusion flame table …

A Distributed Secure System For Threads Detection In Crowded Environments Based On Biometric Facial Expression, Nourhan Zayed, Hassan I. Sayed, Ghada F. El-Kabbany

Mechanical Engineering

Ensuring security in crowded areas poses a significant problem due to the dense population and the intricate task of monitoring their behaviors. This research presents a real-time security system that utilizes facial expression analysis to identify potential threats. The technology utilizes sophisticated facial recognition and emotion detection techniques to accurately recognize emotions such as wrath, fear, and anxiety. These feelings can serve as indicators of suspicious activities or potential security risks. The system utilizes a Convolutional Neural Network (CNN) to classify facial expressions and recognize objects. In addition, it integrates an SVM classifier trained on features derived from the combined …

A Comparative Analysis Of Optimizing Classification Techniques On Fruits Images Dataset, Ghada F. Elkabbany, Youssef G. Fouad, Kerollos W. Youssef, Jannah A. Amir, Nourhan Zayed

Mechanical Engineering

Data mining; known as data dredging or data archeology; provides several techniques to extract new and interpretable information from existing datasets. This work presents a comparison of the performance of various classification techniques, specifically Support Vector Machine (SVM), Radial Basis Function (RBF), K-Nearest Neighbors (KNN), and decision trees, using images of fruits. An open-source dataset called fruits360 is used focusing on three specific fruits: pineapple, cocos, and avocado. This selection allows testing the classification techniques in different ways, as pineapples and cocos are similar in color, while cocos and avocados resemble each other in shape due to their oval-like geometry. …

Office Of Research, Economic Engagement And Outreach Update, November 6, 2024, Office Of Research, Economic Engagement And Outreach

Office of Research, Economic Engagement and Outreach

No abstract provided.

Fall 2024 - Gen Ai For Legal Research, University Of Michigan Law Library

Legal Tech Series

Generative AI is a transformative technology that will impact your legal career. Learn about the benefits and pitfalls of tools you can use for legal research now.

Nature Inspired Optimization For Spectrum Sensing And Allocation In Cognitive Radio Networks, Saravanan R

Theses and Dissertations

Cognitive radio (CR) refers to intelligent radio technology that scans its environment to optimize spectrum use and adjusts its parameters accordingly. It employs a communication system that is aware of its surroundings, including spectrum usage and availability. A key aspect of CR is identifying idle channels by analyzing traffic patterns using effective learning strategies.

However, CRNs face challenges such as cross-layer design issues, spectrum sensing errors, hidden node problems, and complex spectrum management. Spectrum sensing is critical for accessing unused radio spectrum while minimizing interference. Efficient sensing techniques must be cost-effective, fast, and capable of detecting weak primary signals. Although …

Biofabrication Of Tissue Constructs Using Protein-In-Polysaccharide Bioinks For Muscle Regeneration, Harshavardhan B

Theses and Dissertations

Myocardial infarction (MI) and volumetric muscle loss (VML) are debilitating conditions that severely affect patient quality of life and challenge healthcare systems, particularly in diagnosis and treatment. Conventional therapies often result in long recovery periods with limited functional restoration. Advances in regenerative medicine, especially extrusion-based 3D bioprinting, offer promising potential to improve the regeneration of complex tissues by precisely depositing cells and biomaterials layer-by-layer to create tailored tissue constructs.

A critical challenge in muscle tissue regeneration is developing protein-polysaccharide bioinks that closely mimic the native muscle tissue microenvironment. In this study, two protein-inpolysaccharide bioinks (alginate-fibrinogen and methylcellulose-gelatin-alginate) were developed to …

Lactobacillus Rhamnosus Modulates Murine Neonatal Gut Microbiota And Inflammation Caused By Pathogenic Escherichia Coli., Hao Xuan, Shahid Umar, Cuncong Zhong, Wei Yu, Ishfaq Ahmed, Joshua Wheatley, Venkatesh Sampath, Susana Chavez-Bueno

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: Pathogenic Escherichia coli strains produce neonatal septicemia after colonizing the neonatal gut. While the probiotic Lactobacillus rhamnosus GG (LGG) effectively reduces neonatal sepsis, LGG's effects on the neonatal intestinal microbiota alterations and inflammation triggered by E. coli are incompletely understood. We hypothesized that LGG significantly modulates the specific neonatal gut microbial populations changes and the inflammatory response elicited by the enteral introduction of septicemia-producing E. coli. To test this hypothesis, newborn rats were pretreated orally with LGG or placebo prior to infection with the neonatal E. coli septicemia clinical isolate SCB34. Amplicon 16S rRNA gene sequencing was performed on …

Smooth And Proper Maps With Respect To A Fibration, Mathieu Anel, Jonathan Weinberger

Engineering Faculty Articles and Research

This paper explain how the geometric notions of local contractibility and properness are related to the Σ-types and Π-types constructors of dependent type theory. We shall see how every Grothendieck fibration comes canonically with such a pair of notions—called smooth and proper maps—and how this recovers the previous examples and many more. This paper uses category theory to reveal a common structure between geometry and logic, with the hope that the parallel will be beneficial to both fields. The style is mostly expository, and the main results are proved in external references.

Michigan Academician, Volume 48, Issue 2

Michigan Academician

No abstract provided.

Michigan Academician, Volume 48, Issue 3

Michigan Academician

No abstract provided.

A Study Of Fit And Friction Force As A Function Of The Printing Process For Fff 3d-Printed Piston–Cylinder Assembly, Philippe A. Passeraub, Quentin Allen, Elizabeth Clark, Michael Miles, Siddartha Berns, Maija Pearson, Sterling Allred, Jonah Brooks, Sylvain Hugon

ScholarsArchive Data

Dataset DOI: https://doi.org/10.26067/hjm6-3d45

The shared data comprises the experimental measurements performed presented in the figures 5, 6, 7, 9, 10, 11, 12, and in the tables for the following article:

Passeraub, P.A.; Allen, Q.; Clark, E.; Miles, M.; Berns, S.; Pearson, M.; Allred, S.; Brooks, J.; Hugon, S. A Study of Fit and Friction Force as a Function of the Printing Process for FFF 3D-Printed Piston–Cylinder Assembly. J. Manuf. Mater. Process. 2024, 8, 249. https://doi.org/10.3390/jmmp8060249

Ai-Enabled Methodological Frameworks To Enhance The Robustness Of Machine Learning Models In Various Domains And Dynamic Environments, Mohammad Noroozi

USF Tampa Graduate Theses and Dissertations

This dissertation explores novel approaches to address complex challenges in various domains, focusing on ensuring that machine learning (ML) models can reliably detect both the data they are trained on and unseen data. Reliable detection of unfamiliar inputs is critical for deploying models in real-world applications, where performance can degrade when faced with novel or unexpected information. Each domain addressed in this work introduces a set of contributions aimed at enhancing model performance, broadening generalization through diverse training data, and improving robustness against adversarial attacks. Three sets of contributions are presented, each encapsulated in a chapter.

One of the contributions …

Experimental Investigation Of An Additively Manufactured Cold Plate For Multi-Chip Module Cooling Generated Using The Homogenization Approach To Topology Optimization, Serdar Ozguc, Peter Dionne, Mattias Thorsell, Martin Blennius, Torbjörn Nilsson, Liang Pan, Justin A. Weibel

CTRC Research Publications

The homogenization approach to topology optimization is promising for generating high-performance, liquid-cooled cold plates due to its ability to create sub-resolution features by optimizing the spatial distribution and porosities of physical microstructures. This optimization capability has been demonstrated for the design of compact microchannel heat sinks under uniform heating conditions. However, there is a need to understand its applicability for practical applications involving complex boundary conditions posed by modern electronics packaging requirements. This work performs the topology optimization, design for manufacturing, fabrication, and experimental testing of a liquid-cooled cold plate for an application-representative multi-chip module with eight devices. The cold …

Taking Behavioral Antitrust Seriously: On Default Agreements As Exclusive Dealing And The Debiasing Potential Of Default Randomization, Omar Vasquez Duque

Maryland Law Review

No abstract provided.

Physical Layer Entropy Analysis For Physical Unclonable Functions, Jenilee Jao

Electrical and Computer Engineering ETDs

Process variations within Field Programmable Gate Arrays (FPGAs) provide a rich source of entropy, making them well-suited for the implementation of Physical Unclonable Functions (PUFs). This dissertation presents three studies on FPGA-based PUFs. First, we explore a ring-oscillator (RO) PUF that leverages localized entropy from individual look-up table (LUT) primitives, analyzing design bias. Next, we investigate delay variations that occur through the routing network and switch matrices of FPGAs using a feature of Xilinx called dynamic partial reconfiguration (DPR). Finally, we evaluate entropy across FPGAs from Xilinx, Altera, and Microsemi using the Shift-Register Reconvergent-Fanout (SiRF) PUF architecture to compare path …

Senate Meeting, November 6, 2024, Academic Senate

Academic Senate Minutes

No abstract provided.

No. 107 An Order To Provide Continued Relief To Victims Of Severe Weather And Flooding In Tennessee, Bill Lee

Executive Orders

No abstract provided.

The Parthenon, November 06, 2024, Evan Green, Sarah Davis, Baylee Parsons, Joseph Dicristofaro, Kaitlyn Fleming, Scott Price, Abigail Cutlip, Rafael Alfonso, Wade Sullivan

The Parthenon

No abstract provided.