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Articles 40021 - 40050 of 1103509
Full-Text Articles in Entire DC Network
The Shorthorn: April 10, 1970
The Shorthorn Newspaper Collection: 1970s
No abstract provided.
The Shorthorn: March 20, 1970
The Shorthorn Newspaper Collection: 1970s
No abstract provided.
The Shorthorn: April 3, 1970
The Shorthorn Newspaper Collection: 1970s
No abstract provided.
The Shorthorn: March 13, 1970
The Shorthorn Newspaper Collection: 1970s
No abstract provided.
The Shorthorn: March 6, 1970
The Shorthorn Newspaper Collection: 1970s
No abstract provided.
The Shorthorn: February 27, 1970
The Shorthorn: February 27, 1970
The Shorthorn Newspaper Collection: 1970s
No abstract provided.
The Shorthorn: February 20, 1970
The Shorthorn: February 20, 1970
The Shorthorn Newspaper Collection: 1970s
No abstract provided.
The Shorthorn: January 16, 1970
The Shorthorn: January 16, 1970
The Shorthorn Newspaper Collection: 1970s
No abstract provided.
The Shorthorn: February 6, 1970
The Shorthorn: February 6, 1970
The Shorthorn Newspaper Collection: 1970s
No abstract provided.
Mentoring In The Undergraduate Classroom And Beyond: Creating A Feminist Praxis, Satarupa Dasgupta
Mentoring In The Undergraduate Classroom And Beyond: Creating A Feminist Praxis, Satarupa Dasgupta
Feminist Pedagogy
In the following critical commentary, it is discussed how mentoring--- in the classroom and in academia---can be a feminist practice that comprises an essential part of being a feminist educator. Mentorship encompasses a process in which the mentor disseminates knowledge as well as psychosocial support that are perceived by the mentee as essential for professional or personal development (Sedlacek et al., 2007). Mentorship has been specifically found to fulfill professional needs for women, while enhancing their self-worth and sense of competence, and providing instances of role modeling and social affirmation (Meschitti & Lawton Smith, 2017).
Advance S In The Generation And Transport Behavior Of Secondary Hazards From Food Packaging Sterilization, Mengjia Ren, Ye Liu, Jinpeng Wang, Shuang Bi
Advance S In The Generation And Transport Behavior Of Secondary Hazards From Food Packaging Sterilization, Mengjia Ren, Ye Liu, Jinpeng Wang, Shuang Bi
Journal of Food Science and Biotechnology
Food packaging sterilization is an important technical means to avoid the spread of SARS-CoV- 2 and the cross-contamination of foodborne viruses.However,the secondary hazards generated after sterilization are complex and have different characteristics,and a wide range of factors affect the formation of these hazards.The studies about the migration behavior of secondary hazards from packaging materials to food remain to be reviewed.Therefore,the author systematically reviewed the correspondence between sterilization technologies and secondary hazards generated after food packaging sterilization,the characteristics of secondary hazards,the factors affecting the formation of secondary hazards,and the detection technologies of secondary hazards.By outlining the classical migration model,the author summarized …
Lipase-Mediated Oxidation Of Furfural To Furoic Acid, Rui Zhu, Yaxin Wang, Liang Zhang
Lipase-Mediated Oxidation Of Furfural To Furoic Acid, Rui Zhu, Yaxin Wang, Liang Zhang
Journal of Food Science and Biotechnology
[Objective ] This study aims to develop a lipase-mediated furfural oxidation system in ionic liquid for the green synthesis of furoic acid,5-hydroxymethyl- 2-furancarboxylic acid,and 2,5-furandicarboxylic acid under mild reaction conditions.[Method ] Using furfural as the substrate,Novozym 435 lipase as the catalyst,hydrogen peroxide as the oxidant,and 1-butyl- 3-methylimidazolium acetate ionic liquid as the solvent,the conditions including reaction temperature,reaction time,initial furfural concentration,and initial hydrogen peroxide concentration were optimized.The system was further extended to the oxidation of 5-hydroxymethylfurfural,and coupled with a chemical oxidation process using an imidazolium-based ionic liquid and tert-butyl hydroperoxide to achieve one-pot synthesis of 2,5-furandicarboxylic acid.[Result ] Under the optimized …
Table Of Contents, Chicago-Kent Law Review
Table Of Contents, Chicago-Kent Law Review
Chicago-Kent Law Review
No abstract provided.
Creative Machines: Generative Artificial Intelligence And Copyright Law, Ryan Abott, Elizabeth Rothman [email protected]
Creative Machines: Generative Artificial Intelligence And Copyright Law, Ryan Abott, Elizabeth Rothman [email protected]
Chicago-Kent Law Review
No abstract provided.
A Review On Connection Forms Between Bridge Guardrails And Bridge Decks, Li Wei, Li Rutao, Jia Ning, Lu Jian
A Review On Connection Forms Between Bridge Guardrails And Bridge Decks, Li Wei, Li Rutao, Jia Ning, Lu Jian
Journal of China & Foreign Highway
In recent years,with the continuous expansion of highway bridge construction in China,there has been a growing public demand to enhance road safety and the protective capabilities of highway bridges.To meet the engineering application requirements of various bridge forms and bridge guardrails,diverse connection structures between bridge guardrails and bridge decks have been studied both domestically and internationally.However,in current engineering practice,the selection of these connection forms remains challenging,lacking clear reference criteria.Using the analytic hierarchy process and supported by experimental data,this paper comprehensively analyzed the advantages and disadvantages of these connection forms by considering factors such as guardrail protection effectiveness,load-bearing reliability,construction convenience,and ease …
Artificial Intellectual Property, Daniel J. Gervais
Artificial Intellectual Property, Daniel J. Gervais
Chicago-Kent Law Review
No abstract provided.
Trade Secrecy Meets Generative Ai, Camilla A. Hrdy
Trade Secrecy Meets Generative Ai, Camilla A. Hrdy
Chicago-Kent Law Review
No abstract provided.
Innovate Responsibly: Post-Grant Mechanisms To Deter Unnecessarily Toxic Pharmaceutical Patents, Brianna De Frank
Innovate Responsibly: Post-Grant Mechanisms To Deter Unnecessarily Toxic Pharmaceutical Patents, Brianna De Frank
Chicago-Kent Law Review
No abstract provided.
Sinapic Acid Alleviates Renal Ischemia-Reperfusion Injury By Regulating Oxidative Stress, Apoptosis, And Inflammation, Mustafa Can Güler, Fazi̇le Nur Eki̇nci̇ Akdemi̇r, Ersen Eraslan, Ayhan Tanyeli̇, Derya Güzel Erdoğan, Behzat Tebri̇zi̇
Sinapic Acid Alleviates Renal Ischemia-Reperfusion Injury By Regulating Oxidative Stress, Apoptosis, And Inflammation, Mustafa Can Güler, Fazi̇le Nur Eki̇nci̇ Akdemi̇r, Ersen Eraslan, Ayhan Tanyeli̇, Derya Güzel Erdoğan, Behzat Tebri̇zi̇
Turkish Journal of Medical Sciences
Background/aim: Acute kidney injury (AKI) is a major clinical issue, frequently resulting from ischemia-reperfusion (I/R) injury. Sinapic acid (SA), a natural phenolic molecule included in numerous plant-based foods, exhibits antiapoptotic, antioxidant, and antiinflammatory properties. This study aimed to investigate the renoprotective effects of SA in an I/R-induced acute kidney injury (AKI) model.
Materials and methods: Sprague–Dawley male rats (n = 32) were randomly assigned to four groups: sham, I/R, SA 20 mg/kg, and SA 40 mg/kg. SA was administered intraperitoneally before reperfusion. Renal tissues were examined using biochemical, histopathological, and immunohistochemical methods, focusing on oxidative stress, cytokine expression, and apoptosis …
Pilot Fatigue And Required Rest Period For Korean Air Force Pilots Flying High-Performance Aircraft, Mijin Hong
Pilot Fatigue And Required Rest Period For Korean Air Force Pilots Flying High-Performance Aircraft, Mijin Hong
Graduate Thesis and Dissertation post-2024
Over the years, significant advancements have been made in aircraft technology and in understanding the detrimental effects of fatigue on flight performance. However, integrating these advancements into crew rest regulations, particularly for the Republic of Korea Air Force (ROKAF) operating high-performance jets, requires further review. This study employs a systematic review with thematic analysis to assess whether ROKAF’s current rest regulations are sufficient. Relevant studies were identified from English-language databases (e.g., FAA, ICAO, Google Scholar) and Korean-language databases (e.g., RISS, KCI). Titles and abstracts were initially reviewed, followed by full-text assessments based on inclusion and exclusion criteria focusing on military …
Characterization Of Electrical And Optical Properties Of Europium Oxide, Mshari H. Alhsawi
Characterization Of Electrical And Optical Properties Of Europium Oxide, Mshari H. Alhsawi
Graduate Thesis and Dissertation post-2024
Oxide semiconductors with high optical transparency hold significant promise for a broad range of optical applications. Among them, europium oxide (Eu₂O₃ ) has garnered considerable attention for its potential in transistor devices, resistive random-access memory (RRAM), white light-emitting devices, and erasable optical storage systems. Additionally, Eu₂O₃ is employed in nanoscale applications, such as photoactive coatings and high-k dielectrics. Its advantageous dielectric properties and high transmittance make it particularly well-suited for capacitor fabrication. The material also exhibits resistive switching behavior and notable optical absorption, further enhancing its relevance for optoelectronic devices.
In this study, Eu₂O₃ thin films were deposited using RF …
Machine Learning-Enhanced Optimization For The Real-Time, Secure, And Efficient Operation Of The Energy-Water-Hydrogen Nexus, Mostafa Goodarzi
Machine Learning-Enhanced Optimization For The Real-Time, Secure, And Efficient Operation Of The Energy-Water-Hydrogen Nexus, Mostafa Goodarzi
Graduate Thesis and Dissertation post-2024
Given the escalating urgency of climate change, our research addresses the imperative need to curb carbon emissions, particularly from the electricity sector, which accounts for a quarter of total emissions in the U.S. We propose integrated systems, such as the energy-water nexus (EWN) and an innovative concept known as the energy-water-hydrogen (EWH) nexus, which integrates renewable energy sources (RESs) with green hydrogen production through water electrolysis. These concepts align seamlessly with the nation’s commitment to global climate agreements, including the Paris Agreement. Furthermore, green hydrogen—a clean and efficient energy source produced via water electrolysis powered by renewable energy—emerges as a …
Advanced Deep Learning Algorithms For Medical Imaging Applications: Tumor And Organ At Risk Segmentation, Ilkin Sevgi Isler
Advanced Deep Learning Algorithms For Medical Imaging Applications: Tumor And Organ At Risk Segmentation, Ilkin Sevgi Isler
Graduate Thesis and Dissertation post-2024
Accurate segmentation of tumors and organs at risk (OAR) remains a fundamental challenge in medical image analysis, directly affecting diagnostic accuracy, treatment planning, and patient outcomes. Although automated segmentation methods have advanced, they still face difficulties in anatomically complex regions and in cases with low tissue contrast. A major contributor to this variability is intra- and interobserver disagreement, introducing uncertainty into annotations and model predictions.
This dissertation investigates the role of segmentation uncertainty and its impact on model reliability, interpretability, and clinical integration, with a focus on lung, pancreatic, and head and neck cancers.
The first component introduces uncertainty-aware segmentation …
Gradient-Based Optimization And Control Of Systems With Two Decision-Makers And Delayed Information, Mohammad Safayet Hossain
Gradient-Based Optimization And Control Of Systems With Two Decision-Makers And Delayed Information, Mohammad Safayet Hossain
Graduate Thesis and Dissertation post-2024
In today’s world systems are complex in nature, often involving two or more decision-makers (DMs) each attempting to optimize the performance of the system using an objective function that reflects its own preferences and is usually different from the other. Such systems are very common in power, microeconomics, and other systems. The focus of this research is how such systems are optimized and how the results of optimization are implemented in practice. Without loss of generality, we consider systems with two DMs, each attempting to optimize the system’s by minimizing its own objective function. The solution of these types of …
Pedestrian Monitoring And Crossing Intention Prediction At Intersections Using Computer Vision And Deep Learning, Ahmed Abdelrahman
Pedestrian Monitoring And Crossing Intention Prediction At Intersections Using Computer Vision And Deep Learning, Ahmed Abdelrahman
Graduate Thesis and Dissertation post-2024
Ensuring the safety of Vulnerable Road Users (VRUs), including pedestrians, bicyclists, and E-scooter riders, at intersections is crucial for sustainable and efficient urban mobility. Despite recent advancements in transportation technologies, accurately understanding and predicting human behavior at intersections remains challenging, resulting in unsafe interactions, crossing violations, and diminished trust in traffic systems. This dissertation presents an integrated approach comprising three novel frameworks: VRUCrossSafe, VRU-CIPI, and the Video-to-Text Pedestrian Monitoring (VTPM) system, collectively addressing critical gaps in intersection safety, VRU behavior prediction, and privacy-preserving traffic monitoring. First, VRUCrossSafe introduces a real-time intersection safety solution utilizing computer vision and ensemble machine learning …
A Novel Au-Decorated Ni-Mof For The Photo And Electrochemical Treatment Of Mc-Lr, Stephanie Stoll
A Novel Au-Decorated Ni-Mof For The Photo And Electrochemical Treatment Of Mc-Lr, Stephanie Stoll
Graduate Thesis and Dissertation post-2024
Microcystins (MCs) are toxins produced by cyanobacteria commonly found in harmful algal blooms (HABs) threatening many surface waters. Conventional removal methods, including membrane filtration and activated carbon, are costly and only achieve phase separation. This study introduces a novel Au-decorated Ni-metal-organic framework (Au/Ni-MOF) as a platform for the multi-modal treatment of MC-Leucine Arginine (MC-LR), utilizing photodegradation (PD), electrochemical oxidation (EO), and photoelectrochemical oxidation (PEO) by evaluating and comparing their effectiveness.
A 4 cm2 Au/Ni-MOF achieved complete photodegradation of 20 ppb of MC-LR in 7 mL of DI water with a degradation rate constant of 0.0599 min-1 under 35,000 …
Continuously Variable Series Reactor Modeling And Application, Mohammadali Hayerikhiyavi
Continuously Variable Series Reactor Modeling And Application, Mohammadali Hayerikhiyavi
Graduate Thesis and Dissertation post-2024
In today's rapidly evolving energy landscape, the Continuously Variable Series Reactor (CVSR) emerges as a vital tool for enhancing the stability and efficiency of power systems. This proposal presents a detailed investigation into the operational characteristics and performance optimization of CVSR through advanced modeling techniques. The Continuously Variable Series Reactor (CVSR) offers a unique capability to regulate the reactance of an AC circuit through the magnetizing characteristic of its ferromagnetic core. By utilizing both AC and DC windings, the CVSR effectively controls power flow, dampens oscillations, and balancing the voltage within the power grid. To effectively integrate CVSR into grid …
Tail-Imbalance Diffusion Equalizer For Class-Balanced Generation, Chinmay Dhanraj Nehate
Tail-Imbalance Diffusion Equalizer For Class-Balanced Generation, Chinmay Dhanraj Nehate
Graduate Thesis and Dissertation post-2024
Real-world image corpora are often imbalanced. On long-tailed datasets, the head class can outnumber the tail by a large margin, and a vanilla diffusion probabilistic model (DPM) consequently loses fidelity and diversity on rare categories, undermining controllable generation. To address this gap, we present Tail Imbalance Diffusion Equalizer (TIDE), a training framework that restores class balance without discarding data or adding extra training stages. Our contribution is threefold: (i) score field rebalancing, where we embed class-prior knowledge into a mixing matrix that routes gradients toward minority classes, with this class-prior knowledge consisting of the empirical label frequencies in the training …
A Variable Resistance Suit (Vars) And An Extendable Prosthetic Arm (Expa) For Physical Rehabilitation And Assistance, Ibrahim F. Kadhim
A Variable Resistance Suit (Vars) And An Extendable Prosthetic Arm (Expa) For Physical Rehabilitation And Assistance, Ibrahim F. Kadhim
Graduate Thesis and Dissertation post-2024
This dissertation presents the design, development, and evaluation of two novel wearable assistive technologies – Variable Resistance Suit (VARS) and the Extendable Prosthetic Arm (EXPA) – to improve rehabilitation outcomes and functional independence of individuals with musculoskeletal impairment. VARS is a modular, lightweight, and wearable resistance training system that applies bidirectional, speed-dependent, and variable mechanical resistance to the elbow and knee joints. It addresses the limitations of traditional resistance equipment by offering a portable, safer, and more accessible alternative. Importantly, VARS enables targeted engagement of specific muscle groups during training, minimizing the risk of overloading adjacent or compensatory muscles. VARS …
Interpretation And Control Of Ai Model Behavior Through Direct Adjustment Of Latent Representations, Austin Davis
Interpretation And Control Of Ai Model Behavior Through Direct Adjustment Of Latent Representations, Austin Davis
Graduate Thesis and Dissertation post-2024
This dissertation investigates the structures and mechanisms underpinning the latent space representations that emerge within Generative Pretrained Transformer (GPT) models. Addressing the broader goal of enhancing AI trustworthiness through transparency, accountability, and controllability, we focus on techniques to understand, quantify, and manipulate these latent space representations. Through a series of analyses, we examine several chess-playing GPT models as controlled testbeds, leveraging their structured decision space to explore emergent representations and decision-making processes.
Key contributions include a mechanistic analysis of the attention heads and latent representations, the development of novel metrics for evaluating intervention outcomes, and the application of linear probe …