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Articles 7441 - 7470 of 15404
Full-Text Articles in Entire DC Network
Social Dominance In Cd1 Female Mice, Hannah G. Casselman, Eli Illescas-Huerta, Nancy Padilla-Coreano
Social Dominance In Cd1 Female Mice, Hannah G. Casselman, Eli Illescas-Huerta, Nancy Padilla-Coreano
Research & Creative Achievement Day
Social rank and dominance have a profound impact on the survival of many animals. Social dominance fosters social stability and modulates neuroactivity, immune response, and endocrine function. Understanding and measuring social rank in laboratory mice is crucial when assessing social behavior. Previous research has focused primary on dominance in male mice based on measurements of aggressive and competitive behaviors. However, it remains unclear how social dominance is exhibited in female mice and which behavioral assays are most effective for measuring their rank. Males tend to be aggressive and territorial, whereas females engage in less aggressive and visibly competitive behaviors. Given …
Medicinal Plants And One Health Drug Discovery: Plectranthus Abietanes As P-Glycoprotein Modulators, Patricia Rijo
Medicinal Plants And One Health Drug Discovery: Plectranthus Abietanes As P-Glycoprotein Modulators, Patricia Rijo
Oxford ICSB
Cancer remains a major global health challenge, with multidrug resistance (MDR)—frequently driven by P-glycoprotein (P-gp) overexpression—significantly limiting the effectiveness of chemotherapy. Within a One Health perspective, Africa, home to five major medicinal biodiversity hotspots, represents an underexplored reservoir for natural products–based drug discovery. Among this rich flora, the genus Plectranthus (Lamiaceae) emerges as a particularly promising source of bioactive abietane diterpenes. In this work, the abietane diterpene 7α-acetoxy-6β-hydroxyroyleanone (Roy), isolated from Plectranthus grandidentatus Gürke, exhibited pronounced cytotoxic activity against several cancer cell lines. To enhance its pharmacological profile, a series of Roy ester derivatives was synthesized and evaluated for their …
2026 Urs Abstract Booket, Undergraduate Research Center, Minnesota State University, Mankato
2026 Urs Abstract Booket, Undergraduate Research Center, Minnesota State University, Mankato
Undergraduate Research Symposium
Complete Schedule of Events for the 28th Annual Undergraduate Research Symposium at Minnesota State University, Mankato.
Mr. Meerkat, Marie Shumaker
Mr. Meerkat, Marie Shumaker
Liberty University Research Week
"Mr. Meerkat" is a graphite drawing that explores how character and personality can be expressed through realistic yet imaginative animal imagery. The project combines accurate meerkat anatomy with human elements to create a tap-dancing performer inspired by the elegance of the 1920s. This nostalgic theme contrasts with modern minimalist trends by emphasizing craftsmanship, effort, and expressive detail. Using graphite techniques such as shading, hatching, and contouring, the drawing captures varied textures including fur, fabric, and wood, creating a cohesive and character-driven composition.
Curious Lunarfel, Kalie Baker
Curious Lunarfel, Kalie Baker
Liberty University Research Week
I wanted to try sculpting creatures that had a tangible realism added to the clay piece. For several pieces, I sculpted animals and added faux fur or feathers to add more life to the sculpture.
The Illusory Normativity Of Rights-Based Ai Regulation, Yiyang Mei, Matthew Sag
The Illusory Normativity Of Rights-Based Ai Regulation, Yiyang Mei, Matthew Sag
Indian Journal of Law and Technology
Whether and how to regulate AI is now a central question of governance. Across academic, policy, and international legal circles, the European Union is widely treated as the normative leader in this space. Its regulatory framework, anchored in the General Data Protection Regulation, the Digital Services and Markets Acts, and the AI Act, is often portrayed as a principled model grounded in fundamental rights. This Article challenges that assumption. We argue that the rights-based narrative surrounding EU AI regulation mischaracterises the logic of its institutional design. While rights language pervades EU legal instruments, its function is managerial, not foundational. These …
50 Years Of Constitutional Judicial Review In The United Arab Emirates: Key Features, Nisrine Abiad
50 Years Of Constitutional Judicial Review In The United Arab Emirates: Key Features, Nisrine Abiad
Proche-Orient, Études juridiques
On the 50th anniversary of the enshrinement of judicial review within the UAE Constitution, this paper explores its main features. The analysis of the constitutional provisions and the jurisprudence of the Federal Supreme Court reveals that constitutional judicial review in the UAE is intrinsically rooted in federalism as it is mainly designed as a tool preserving the adjudication of powers between federal and local authorities. It is nevertheless also destined by the Constitution for a wider purpose of constitutional justice endorsing the individuals and the courts as key players in its process.
System For An Interactive Ambient Character Using Mmwave Radar For Presence Detection And Acoustic Event Recognition, Hanumanth Godari
System For An Interactive Ambient Character Using Mmwave Radar For Presence Detection And Acoustic Event Recognition, Hanumanth Godari
Defensive Publications Series
A system can use an on-screen digital character powered by an artificial intelligence framework to provide an interactive ambient display. The system may integrate a millimeter-wave radar sensor for camera-less presence detection and a far-field microphone array for acoustic event recognition of ambient household sounds. Based on data from these sensors, the digital character could, for example, acknowledge a user entering a room or react to specific sounds, such as music or a doorbell. This allows a display's idle screen on a computing device (e.g., a smart display, television, or tablet) to function as a dynamic, context-aware interface. The interface …
Perlindungan Llngkungan Hidup Dalam Perdagangan Internasional, Atifah Kusumadara
Perlindungan Llngkungan Hidup Dalam Perdagangan Internasional, Atifah Kusumadara
Jurnal Hukum & Pembangunan
Abstract
Recognizing Metaphorical References To Sexual Assault Resistance And Represented Rape Myths In Coraline (2009), Braden Slater
Recognizing Metaphorical References To Sexual Assault Resistance And Represented Rape Myths In Coraline (2009), Braden Slater
Theses and Dissertations
Is there any value in children’s horror literature and film? Literary theorists have shown that children’s horror is uniquely positioned to be not only captivating and accessible, but also educational and hopeful for some young audience members. Like most fictional monsters, those presented in children’s horror can be read as metaphors for the fears and experiences people face in real life. Scholars have argued that engaging with this type of frightening media may help people confront challenging ideas and feelings from a place of safety. Building on this theoretical foundation, I perform a close reading of the 2009 film Coraline, …
“As Though You Could Never Sink”: Gender Euphoria Through Aquatic Embodiment In The Sun Also Rises, Devan Edwards
“As Though You Could Never Sink”: Gender Euphoria Through Aquatic Embodiment In The Sun Also Rises, Devan Edwards
Honors Theses
Recent scholarship in disability studies and queer theory (2007-2024) reveals that Jake Barnes's war wound in Hemingway's The Sun Also Rises functions as something more complex than tragic loss. This paper argues that Jake's swimming and fishing scenes constitute moments of gender euphoria, a term borrowed from contemporary transgender studies, enabled specifically by aquatic embodiment. In these scenes, water functions as the physical and symbolic medium through which Jake's war-wounded body transcends the performative demands of 1920s heteronormative masculinity. Building on Michael Anesko's provocative reading of Jake as "accidentally transgendered" (Literature and Medicine, 2015) and Martina Kübler's argument that impotence …
Cross-Attention Mechanism For Medical Visual Question Answering, Nada Fadhil Mohammed, Israa H. Ali
Cross-Attention Mechanism For Medical Visual Question Answering, Nada Fadhil Mohammed, Israa H. Ali
Baghdad Science Journal
Visual Question Answering (VQA) is a machine learning task that aims to create systems capable of answering natural language questions based on given images. Medical VQA systems, a domain-specific application of VQA, assist in understanding clinically relevant information from medical images. These systems leverage deep neural techniques to generate accurate answers to questions, which can be closed-ended or open-ended. This paper proposes a Cross-Attention Mechanism-based Medical VQA system. The proposed Medical VQA system achieves good performance through the integration of three-key components, each addressing critical challenges in medical visual question answering: The biomedical domain-specific pretraining of BioBERT enables extracting powerful …
A Multi-Model Ensemble Framework For Assistive Image Captioning With Voice Interaction For The Visually Impaired Users, Alaa Noori Mazher, Ghadah K. Al-Khafaji
A Multi-Model Ensemble Framework For Assistive Image Captioning With Voice Interaction For The Visually Impaired Users, Alaa Noori Mazher, Ghadah K. Al-Khafaji
Baghdad Science Journal
Visual impairment greatly restricts an individual's ability for perception and interaction with the environment, making everyday activities challenging without the availability of appropriate assistive technologies. One major barrier is the inability to perceive visual scenes, which are essential for spatial awareness, wayfinding, and situational knowledge. This study aims to address this gap through the proposal of an intelligent assistive image captioning system specifically designed for visually impaired individuals. The system employs the best available computer vision and natural language processing techniques in generating context-oriented text captions for an image infused with interactive voice responses. Here, four models of Convolutional Neural …
A New Reinforcement Learning Agent Framework For Digital Image Forgery Detection Using Prioritized Experience Replay, Muthana S. Mahdi, Saad N. Alsaad, Hasanen S. Abdullah
A New Reinforcement Learning Agent Framework For Digital Image Forgery Detection Using Prioritized Experience Replay, Muthana S. Mahdi, Saad N. Alsaad, Hasanen S. Abdullah
Baghdad Science Journal
Digital image forgery detection has become an urgent and complex problem in an age when powerful editing tools can easily alter photographs. The familiar maxim ``a picture is worth a thousand words'' can no longer be taken at face value, since even subtle manipulations may conceal or fabricate critical details. Conventional detection methods frequently suffer from highly imbalanced datasets and narrow feature representations that fail to capture the diverse artifacts introduced by modern editing techniques. In response, this work presents a novel framework that casts the forgery detection task as a reinforcement learning problem, enabling an agent to learn a …
Optimizing Quality Of Service In Cloud Computing: A Performance-Aware Task Classifier For Heterogeneous Big Data Workloads, Pawan Bhaker, Sophiya Sheikh, Rintu Nath, Ajay Nain
Optimizing Quality Of Service In Cloud Computing: A Performance-Aware Task Classifier For Heterogeneous Big Data Workloads, Pawan Bhaker, Sophiya Sheikh, Rintu Nath, Ajay Nain
Baghdad Science Journal
The Big data originates from various heterogeneous sources worldwide. Due to the diverse origins of data generation, big data involves a variety of tasks. Some require storage resources, while others need computational resources. Additionally, cloud computing provides centralized storage and computational resources for executing these tasks. However, resource optimization and efficient task scheduling remain challenging. Moreover, accurately categorizing tasks and effectively allocating resources based on their nature pose challenges for cloud computing, especially when assigning tasks to heterogeneous resources to minimize task completion time. To address these issues, this paper proposes a Performance-Aware Task Classifier (PATC) algorithm that classifies tasks …
Mandibular Landmark Determination Based On Statistical Features Of Panoramic Radiograph Images Using Multi-Output Neural Network, Nur Nafiiyah, Agus Harjoko, Kang-Hyun Jo, Rini Widyaningrum, Eha Renwi Astuti, Alhidayati Asymal
Mandibular Landmark Determination Based On Statistical Features Of Panoramic Radiograph Images Using Multi-Output Neural Network, Nur Nafiiyah, Agus Harjoko, Kang-Hyun Jo, Rini Widyaningrum, Eha Renwi Astuti, Alhidayati Asymal
Baghdad Science Journal
The mandible is crucial in orthodontic treatment, forensic identification, and clinical diagnosis. However, manually identifying mandibular landmarks is time-consuming and highly dependent on expert skill, necessitating a more reliable automated prediction method. Previous research has used linear and nonlinear regression methods, in which each model predicts a single landmark point, resulting in inefficiency. In addition, these methods only use the centroid of the binary image of the mandible as input. This research proposes a multi-output neural network model that is able to predict multiple mandibular landmark points simultaneously. The proposed neural network architecture in predicting mandibular landmark points is 11 …
On Belonging: A Tribute To Professor Len Rubinowitz, Shobha Mahadev
On Belonging: A Tribute To Professor Len Rubinowitz, Shobha Mahadev
Northwestern Journal of Law & Social Policy
No abstract provided.
“Downstream People:” Lessons From The Tar Creek Superfund Site And Quapaw Nation In Pursuit Of An Environmental Justice-Informed Cercla Regime, Leah Fitter
Northwestern Journal of Law & Social Policy
In 1983, the United States Environmental Protection Agency (“EPA”) designated Tar Creek, a former productive zinc and lead mining zone located in northeastern Oklahoma on land predominantly owned by the Indigenous Quapaw people, as a Superfund site. Its designation came in the wake of findings in 1980 that drainage and tailings from the site’s mining days had polluted the zone’s surface water into some of the most toxic water in the country. Tar Creek was an environmental justice disaster that disproportionately exposed the historically marginalized Quapaw Nation to hazardous mining waste and resulted in detrimental health impacts. Despite numerous demonstrations …
Federalist Politics And The Elusive Original Meaning Of The Free Exercise Clause, Jack Thorlin
Federalist Politics And The Elusive Original Meaning Of The Free Exercise Clause, Jack Thorlin
Catholic University Law Review
Originalism requires interpreting the Constitution by reference to a provision’s original public meaning. But there is very little evidence of original public meaning for some constitutional provisions, most notably the Free Exercise Clause. Originalists have splintered into several different methodological approaches toward the Clause. Justices Scalia and O’Connor staked out opposing originalist views on the Clause thirty years ago in Employment Division v. Smith and City of Boerne v. Flores. In the Roberts Court, some of the conservative justices have attempted to apply a simple textualist interpretation of the Clause, but those efforts have not attracted most of the …
Dual Membrane-Spanning Anti-Sigma 2 Controls Omv Biogenesis And Colonization Fitness In Bacteroides Thetaiotaomicron, Evan J Pardue, Tengfei Zhong, Nichollas E Scott, Biswanath Jana, Wandy Beatty, Juan C Ortiz-Marquez, Mohammed Kaplan, Clay Jackson-Litteken, Mario F Feldman
Dual Membrane-Spanning Anti-Sigma 2 Controls Omv Biogenesis And Colonization Fitness In Bacteroides Thetaiotaomicron, Evan J Pardue, Tengfei Zhong, Nichollas E Scott, Biswanath Jana, Wandy Beatty, Juan C Ortiz-Marquez, Mohammed Kaplan, Clay Jackson-Litteken, Mario F Feldman
2020-Current year OA Pubs
UNLABELLED:
IMPORTANCE: Dual membrane-spanning anti-sigma factors (Dma) are a novel class of regulatory proteins found solely among Bacteroidota. Previous studies demonstrated the importance of Dma1 in vesiculation, but the overall role of the Dma family in Bacteroides physiology remains poorly understood. Here, we show that Dma2 modulates vesiculation and the expression of select polysaccharide utilization loci (PULs) that target host-associated glycans
Spectator 2026-04-23, Editors Of The Spectator
A Tale Of Trees And Turtles, Adam Drapcho
A Comprehensive Analysis Of The World’S Largest Entertainment Conglomerate: The Walt Disney Company, Brendan Finnery, Judah Davis, Matt Mossinghoff, Rebecca Sims
A Comprehensive Analysis Of The World’S Largest Entertainment Conglomerate: The Walt Disney Company, Brendan Finnery, Judah Davis, Matt Mossinghoff, Rebecca Sims
2026 Student Academic Showcase
This project presents a comprehensive strategic and operational analysis of The Walt Disney Company to identify key gaps within its current business model. Using an integrated management policy approach, the study evaluates external and internal influences on Disney’s competitive position through the application of established analytical frameworks, including PESTEL, Porter’s Five Forces, the VRIO framework, and SWOT analysis. Peer-to-peer comparisons of the company’s financial health and capacity for growth were then assessed utilizing liquidity, leverage, efficiency, and profitability ratios. In compiling such strategic and financial insights, this analysis aims to inform the development of a purposeful SMART goal recommendation, addressing …
How Does The Concentration Of Gibberellic Acid (Ga3) Impact The Growth Of Different Setaria Viridis Mutants?, Liz Ritenhour, Gracey Horn, Lawson Veit, Grant Juris, Rodrigo Suarez Almajano
How Does The Concentration Of Gibberellic Acid (Ga3) Impact The Growth Of Different Setaria Viridis Mutants?, Liz Ritenhour, Gracey Horn, Lawson Veit, Grant Juris, Rodrigo Suarez Almajano
2026 Student Academic Showcase
We tested the relationship between gibberlin and plant growth through the use of gibberellic acid and different dwarf millet variants. Subjects were split into two groups: group one with no gibberellic acid application, and group two with periodic gibberellic application. Each group consisted of 17 pots. Each row held one mutant variant, while the bottom left pot was removed to store water. The objective was to have significant data by the end of the semester to prove the relevant relationship of gibberellin and plant growth.
The Past, Present And Future Of The Dietary Guidelines Of America And The Impact On Community Nutrition, Jordyn Dearth
The Past, Present And Future Of The Dietary Guidelines Of America And The Impact On Community Nutrition, Jordyn Dearth
2026 Student Academic Showcase
The most recent addition of the Dietary Guidelines of America have been released to the public, and has caused many questions to the community. The guidelines serve not only as a resource for the general public and a resource for local and national policy regarding nutrition. Because community nutrition is directly shaped by these recommendations, exploring its past implementations, present implications and possible future actions can help in understanding how these guidelines influence public health at local and national levels. This project aims to explain the impact of the past Dietary Guidelines, show the newest Dietary Guidelines, and predict how …
Currents Of Culture: Exchange And Interaction In Early Cycladic Greece, Megan Garrett
Currents Of Culture: Exchange And Interaction In Early Cycladic Greece, Megan Garrett
Honors Theses
In this paper, trade networks and cultural exchange during the Greek Late Neolithic, Final Neolithic, and the Early Bronze Age will be tracked to better understand cultural interaction, seen through material parallels and synchronicities. Dating between the 5th and 3rd millennia BC, cultural practices will be traced geographically and through material cultures around the Cycladic islands, mainland Greece, and into the Aegean, specifically the exchange networks that include Euboea across each of these periods. Euboea is the second largest island in the Cyclades and is directly east of mainland Attica. Based on previous research, the Early Bronze Age material in …
An Informative Analysis Of Applying Feature Reduction Methods To Supervised Machine Learning Algorithms, Mustafa S. Abd
An Informative Analysis Of Applying Feature Reduction Methods To Supervised Machine Learning Algorithms, Mustafa S. Abd
Baghdad Science Journal
Feature reduction techniques are fundamental to enhancing machine learning (ML) algorithms by reducing the number of features in a dataset. The study here explores the impact of Principle Component Analysis (PCA) on ML algorithms within an unbalanced classification framework, in partnership with feature selection techniques like Cluster Variation Attribute Evaluator (CVAE) and Correlation Attribute Evaluator (CAE). In addition, the research introspects a comparison analysis evaluating the effectiveness of several ML methods, including Multilayer Perceptron (MLP), Decision Tree J48, k-Nearest Neighbor (k-NN) and Sequential Minimal Optimization (SMO). The informative analysis of results signifies that the MLP technique with PCA minimized the …
Montana Kaimin, April 23, 2026, Students Of The University Of Montana, Missoula
Montana Kaimin, April 23, 2026, Students Of The University Of Montana, Missoula
Montana Kaimin, 1898-present
Student newspaper of the University of Montana, Missoula.
Differentiable Objectives For 3d Scene Relighting Via Gradient Descent On Olat Basis Coefficients, Anson Savage
Differentiable Objectives For 3d Scene Relighting Via Gradient Descent On Olat Basis Coefficients, Anson Savage
Theses and Dissertations
Designing effective lighting is an iterative and often time-consuming process. This work contributes to automatic lighting design research by presenting a render-engine agnostic optimization routine: gradient descent on RGB multipliers of one-light-at-a-time (OLAT) basis images. We compare several objective functions to accomplish lighting tasks and show that our method is capable of quickly and effectively exploring different lighting styles using either text prompts or reference images. We also present several datasets specific to lighting tasks and show that fine-tuning on these datasets can improve performance.