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Plant Model Of Α-Synucleinopathy: Expression Of Α-Synuclein A53t Variant In Hairy Root Cultures Leads To Proteostatic Stress And Dysregulation Of Iron Metabolism, Jasmina Kurepa, Kristen A. Bruce, Greg A. Gerhardt, Jan A. Smalle May 2024

Plant Model Of Α-Synucleinopathy: Expression Of Α-Synuclein A53t Variant In Hairy Root Cultures Leads To Proteostatic Stress And Dysregulation Of Iron Metabolism, Jasmina Kurepa, Kristen A. Bruce, Greg A. Gerhardt, Jan A. Smalle

Neurology Faculty Publications

Synucleinopathies, typified by Parkinson’s disease (PD), entail the accumulation of α- synuclein (αSyn) aggregates in nerve cells. Various αSyn mutants, including the αSyn A53T variant linked to early-onset PD, increase the propensity for αSyn aggregate formation. In addition to disrupting protein homeostasis and inducing proteostatic stress, the aggregation of αSyn in PD is associated with an imbalance in iron metabolism, which increases the generation of reactive oxygen species and causes oxidative stress. This study explored the impact of αSyn A53T expression in transgenic hairy roots of four medicinal plants (Lobelia cardinalis, Artemisia annua, Salvia miltiorrhiza, and Polygonum multiflorum). In all …

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Reconceptualizing Self-Directed Learning In The Era Of Generative Ai: An Exploratory Analysis Of Language Learning, Belle Li, Curtis J. Bonk, Chaoran Wang, Xiaojing Kou May 2024

Reconceptualizing Self-Directed Learning In The Era Of Generative Ai: An Exploratory Analysis Of Language Learning, Belle Li, Curtis J. Bonk, Chaoran Wang, Xiaojing Kou

Department of Curriculum and Instruction Faculty Publications

This exploratory analysis investigates the integration of ChatGPT in self-directed learning (SDL). Specifically, this study examines YouTube content creators’ language-learning experiences and the role of ChatGPT in their SDL, building upon Song and Hill's conceptual model of SDL in online contexts. Thematic analysis of interviews with 19 YouTubers and relevant video contents reveals distinct constructs of ChatGPT-integrated SDL, suggesting a reconceptualization and refinement of the SDL framework in the consideration of generative artificial intelligence (AI). This framework emphasizes critical aspects of utilizing ChatGPT as an SDL tool on two distinct levels: 1) the interactive relationships and interplay between learners’ personal …

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Vol 4 May '24 Cover, Publishing And Table Of Contents, Donna L. Williams May 2024

Vol 4 May '24 Cover, Publishing And Table Of Contents, Donna L. Williams

Journal of the Louisiana Public Health Association

No abstract provided.

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Vol 4 May '24 Full Issue, Donna L. Williams May 2024

Vol 4 May '24 Full Issue, Donna L. Williams

Journal of the Louisiana Public Health Association

No abstract provided.

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Using Additional Measures Of Handgrip Strength To Predict Aerobic Capacity In Wheelchair Users, Eric Naugle May 2024

Using Additional Measures Of Handgrip Strength To Predict Aerobic Capacity In Wheelchair Users, Eric Naugle

All NMU Master's Theses

Manual wheelchair users have been shown to have low physical capacity and impaired ability to perform activities of daily living. Current tests and protocols for assessing physical capacity in wheelchair users have specific boundaries. Measuring handgrip strength (HGS) with electronic handgrip dynamometers has been shown to be a reliable measure of muscle function and a convenient assessment of overall muscle strength. This study aimed to determine the correlation of maximal HGS, HGS rate of force development, HGS fatigability, HGS isometric control, and HGS asymmetry to a six-minute wheelchair propulsion (6MPT) test in ambulatory young adults. Thirty-four recreationally active ambulatory individuals …

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Evaluating Embryo Survival Of Surrogate Fish Species Using Multiple Incubators: Continuing Efforts Towards Reintroducing Arctic Grayling (Thymallus Arcticus) Into Lower Michigan Streams, Joshua Mutchler May 2024

Evaluating Embryo Survival Of Surrogate Fish Species Using Multiple Incubators: Continuing Efforts Towards Reintroducing Arctic Grayling (Thymallus Arcticus) Into Lower Michigan Streams, Joshua Mutchler

All NMU Master's Theses

Arctic Grayling Thymallus arcticus have been successfully reintroduced to the Upper Missouri River Basin of Montana using Remote Site Incubators (RSI). Widespread use of RSIs as part of reintroduction efforts in Michigan is challenged by low gradient streams, which limit deployment success. In this study, I evaluated the utility of an alternative instream rearing device, the Floating Basket Incubator (FBI), by directly comparing the survival of Rainbow Trout Oncorhynchus mykiss, Brook Trout Salvelinus fontinalis, and Walleye Sander vitreus (as Arctic Grayling surrogates) between RSI and FBI in stream and hatchery environments. In addition, I assessed how abiotic and …

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A Parametric Study On The Energy Dissipation Capability Of Frictional Mechanical Metamaterials Engineered For Vibration Isolation, Shayan Khosravi, Mohsen Amjadian May 2024

A Parametric Study On The Energy Dissipation Capability Of Frictional Mechanical Metamaterials Engineered For Vibration Isolation, Shayan Khosravi, Mohsen Amjadian

Civil Engineering Faculty Publications

Mechanical metamaterials are engineered structures with complex geometric arrangements that display unconventional mechanical properties which are uncommon in traditional materials. They possess the ability to manipulate and control mechanical wave propagation across specific frequency ranges known as frequency bandgaps. This feature makes them extremely useful for a variety of applications in structural control including passive vibration isolation. These materials can be engineered to selectively block or redirect the input motion at their dominant frequency while allowing the transmission of motion at other frequencies. This paper aims to study the dynamic performance of an innovative mechanical metamaterial designed for seismic isolation …

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World Class Supply Chain 2024: Thriving In Volatile Times, Michael Haughton May 2024

World Class Supply Chain 2024: Thriving In Volatile Times, Michael Haughton

Business Faculty Publications

The Eighth Annual World Class Supply Chain Summit was convened on May 1st, 2024 under the theme of Thriving in volatile times. The theme, which embodies the expressed interests of attendees in last year’s post-summit survey, underscored the supply chain community’s focus on how to succeed in a supply chain world that is volatile, uncertain, complex, and ambiguous (VUCA). The summit’s deliberations on the theme featured two keynote addresses (one each by an industry executive and a research scholar), an industry panel, a student panel, and an intergenerational fireside chat by a panel comprising individuals with experiences ranging from a …

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Instant3d: Instant Text-To-3d Generation, Ming Li, Pan Zhou, Jia-Wei Liu, Jussi Keppo, Shuicheng Yan, Xiangyu Xu May 2024

Instant3d: Instant Text-To-3d Generation, Ming Li, Pan Zhou, Jia-Wei Liu, Jussi Keppo, Shuicheng Yan, Xiangyu Xu

Research Collection School Of Computing and Information Systems

Text-to-3D generation has attracted much attention from the computer vision community. Existing methods mainly optimize a neural field from scratch for each text prompt, relying on heavy and repetitive training cost which impedes their practical deployment. In this paper, we propose a novel framework for fast text-to-3D generation, dubbed Instant3D. Once trained, Instant3D is able to create a 3D object for an unseen text prompt in less than one second with a single run of a feedforward network. We achieve this remarkable speed by devising a new network that directly constructs a 3D triplane from a text prompt. The core …

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The Impact Of Avatar Completeness On Embodiment And The Detectability Of Hand Redirection In Virtual Reality, Martin Feick, Andre Zenner, Simon Seibert, Anthony Tang, Antonio Krüger May 2024

The Impact Of Avatar Completeness On Embodiment And The Detectability Of Hand Redirection In Virtual Reality, Martin Feick, Andre Zenner, Simon Seibert, Anthony Tang, Antonio Krüger

Research Collection School Of Computing and Information Systems

To enhance interactions in VR, many techniques introduce offsets between the virtual and real-world position of users’ hands. Nevertheless, such hand redirection (HR) techniques are only effective as long as they go unnoticed by users—not disrupting the VR experience. While several studies consider how much unnoticeable redirection can be applied, these focus on mid-air floating hands that are disconnected from users’ bodies. Increasingly, VR avatars are embodied as being directly connected with the user’s body, which provide more visual cue anchoring, and may therefore reduce the unnoticeable redirection threshold. In this work, we studied more complete avatars and their effect …

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Reinforcement Learning With Maskable Stock Representation For Portfolio Management In Customizable Stock Pools, Wentao Zhang, Yilei Zhao, Shuo Sun, Jie Ying, Yonggang Xie, Zitao Song, Xinrun Wang, Bo An May 2024

Reinforcement Learning With Maskable Stock Representation For Portfolio Management In Customizable Stock Pools, Wentao Zhang, Yilei Zhao, Shuo Sun, Jie Ying, Yonggang Xie, Zitao Song, Xinrun Wang, Bo An

Research Collection School Of Computing and Information Systems

Portfolio management (PM) is a fundamental financial trading task, which explores the optimal periodical reallocation of capitals into different stocks to pursue long-term profits. Reinforcement learning (RL) has recently shown its potential to train profitable agents for PM through interacting with financial markets. However, existing work mostly focuses on fixed stock pools, which is inconsistent with investors’ practical demand. Specifically, the target stock pool of different investors varies dramatically due to their discrepancy on market states and individual investors may temporally adjust stocks they desire to trade (e.g., adding one popular stocks), which lead to customizable stock pools (CSPs). Existing …

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From Tweets To Token Sales: Assessing Ico Success Through Social Media Sentiments, Donghao Huang, S. Samuel, Quoc Toan Huynh, Zhaoxia Wang May 2024

From Tweets To Token Sales: Assessing Ico Success Through Social Media Sentiments, Donghao Huang, S. Samuel, Quoc Toan Huynh, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

With the advent of social network technology, the influence of collective opinions has significantly impacted business, marketing, and fundraising. Particularly in the blockchain space, Initial Coin Offerings (ICOs) gain substantial exposure across various online platforms. Yet, the intricate relationships among these elements remain largely unexplored. This study aims to investigate the relationships between social media sentiment, engagement metrics, and ICO success. We hypothesize a positive correlation between favorable sentiment in ICO-related tweets and overall project success. Additionally, we recognize social media engagement indicators (mentions, retweets, likes, follower counts) as critical factors affecting ICO performance. Employing machine learning techniques, we conduct …

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Anomalyclip: Object-Agnostic Prompt Learning For Zero-Shot Anomaly Detection, Qihang Zhou, Guansong Pang, Yu Tian, Shibo He, Jiming Chen May 2024

Anomalyclip: Object-Agnostic Prompt Learning For Zero-Shot Anomaly Detection, Qihang Zhou, Guansong Pang, Yu Tian, Shibo He, Jiming Chen

Research Collection School Of Computing and Information Systems

Zero-shot anomaly detection (ZSAD) requires detection models trained using auxiliary data to detect anomalies without any training sample in a target dataset. It is a crucial task when training data is not accessible due to various concerns, e.g., data privacy, yet it is challenging since the models need to generalize to anomalies across different domains where the appearance of foreground objects, abnormal regions, and background features, such as defects/tumors on different products/ organs, can vary significantly. Recently large pre-trained vision-language models (VLMs), such as CLIP, have demonstrated strong zero-shot recognition ability in various vision tasks, including anomaly detection. However, their …

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Discovering Personalized Characteristic Communities In Attributed Graphs, Yudong Niu, Yuchen Li, Panagiotis Karras, Yanhao Wang, Zhao Li May 2024

Discovering Personalized Characteristic Communities In Attributed Graphs, Yudong Niu, Yuchen Li, Panagiotis Karras, Yanhao Wang, Zhao Li

Research Collection School Of Computing and Information Systems

What is the widest community in which a person exercises a strong impact? Although extensive attention has been devoted to searching communities containing given individuals, the problem of finding their unique communities of influence has barely been examined. In this paper, we study the novel problem of Characteristic cOmmunity Discovery (COD) in attributed graphs. Our goal is to identify the largest community, taking into account the query attribute, in which the query node has a significant impact. The key challenge of the COD problem is that it requires evaluating the influence of the query node over a large number of …

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Quantum Machine Learning For Credit Scoring, Nikolaos Schetakis, Davit Aghamalyan, Micheael Boguslavsky, Agnieszka Rees, Marc Rakotomalala, Paul Robert Griffin May 2024

Quantum Machine Learning For Credit Scoring, Nikolaos Schetakis, Davit Aghamalyan, Micheael Boguslavsky, Agnieszka Rees, Marc Rakotomalala, Paul Robert Griffin

Research Collection School Of Computing and Information Systems

This study investigates the integration of quantum circuits with classical neural networks for enhancing credit scoring for small- and medium-sized enterprises (SMEs). We introduce a hybrid quantum–classical model, focusing on the synergy between quantum and classical rather than comparing the performance of separate quantum and classical models. Our model incorporates a quantum layer into a traditional neural network, achieving notable reductions in training time. We apply this innovative framework to a binary classification task with a proprietary real-world classical credit default dataset for SMEs in Singapore. The results indicate that our hybrid model achieves efficient training, requiring significantly fewer epochs …

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Reflections On Linear B, (Part 3): The Egyptian Cat-God Mau, Gerald Leonard Cohen May 2024

Reflections On Linear B, (Part 3): The Egyptian Cat-God Mau, Gerald Leonard Cohen

Arts, Languages and Philosophy Faculty Research & Creative Works

The cat figure in Linear B sign 80 (with antecedents) likely derives ultimately from the nightly defeat of the Egyptian god of chaos (Apep, aka Apophis) by the sun god Ra, who took the form of the divine cat Mau. An alternative interpretation is set forth in Ferrara and Weingarten 2022, which sees the cat portrayals for wool or woolen products in Cretan Hieroglyphics as traceable to the cat sound /ma/ appearing by coincidence in Greek μαλλός ‘wool’ (possibly of pre-Greek origin). Perhaps both factors played a role (multiple causation).

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Cornac-Ab : An Open-Source Recommendation Framework With Native A/B Testing Integration, Rong Sheng Ong, Quoc Tuan Truong, Hady Wirawan Lauw May 2024

Cornac-Ab : An Open-Source Recommendation Framework With Native A/B Testing Integration, Rong Sheng Ong, Quoc Tuan Truong, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

Recommender systems significantly impact user experience across diverse domains, yet existing frameworks often prioritize offline evaluation metrics, neglecting the crucial integration of A/B testing for forward-looking assessments. In response, this paper introduces a new framework seamlessly incorporating A/B testing into the Cornac recommendation library. Leveraging a diverse collection of model implementations in Cornac, our framework enables effortless A/B testing experiment setup from offline trained models. We introduce a carefully designed dashboard and a robust backend for efficient logging and analysis of user feedback. This not only streamlines the A/B testing process but also enhances the evaluation of recommendation models in …

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Learning Adversarial Semantic Embeddings For Zero-Shot Recognition In Open Worlds, Tianqi Li, Guansong Pang, Xiao Bai, Jin Zheng, Lei Zhou, Xin Ning May 2024

Learning Adversarial Semantic Embeddings For Zero-Shot Recognition In Open Worlds, Tianqi Li, Guansong Pang, Xiao Bai, Jin Zheng, Lei Zhou, Xin Ning

Research Collection School Of Computing and Information Systems

Zero-Shot Learning (ZSL) focuses on classifying samples of unseen classes with only their side semantic information presented during training. It cannot handle real-life, open-world scenarios where there are test samples of unknown classes for which neither samples (e.g., images) nor their side semantic information is known during training. Open-Set Recognition (OSR) is dedicated to addressing the unknown class issue, but existing OSR methods are not designed to model the semantic information of the unseen classes. To tackle this combined ZSL and OSR problem, we consider the case of “Zero-Shot Open-Set Recognition” (ZS-OSR), where a model is trained under the ZSL …

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An Evaluation Of Heart Rate Monitoring With In-Ear Microphones Under Motion, Kayla-Jade Butkow, Ting Dang, Andrea Ferlini, Dong Ma, Yang Liu, Cecilia Mascolo May 2024

An Evaluation Of Heart Rate Monitoring With In-Ear Microphones Under Motion, Kayla-Jade Butkow, Ting Dang, Andrea Ferlini, Dong Ma, Yang Liu, Cecilia Mascolo

Research Collection School Of Computing and Information Systems

With the soaring adoption of in-ear wearables, the research community has started investigating suitable in-ear heart rate detection systems. Heart rate is a key physiological marker of cardiovascular health and physical fitness. Continuous and reliable heart rate monitoring with wearable devices has therefore gained increasing attention in recent years. Existing heart rate detection systems in wearables mainly rely on photoplethysmography (PPG) sensors, however, these are notorious for poor performance in the presence of human motion. In this work, leveraging the occlusion effect that enhances low-frequency bone-conducted sounds in the ear canal, we investigate for the first time in-ear audio-based motion-resilient …

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Cmd: Co-Analyzed Iot Malware Detection And Forensics Via Network And Hardware Domains, Ziming Zhao, Zhaoxuan Li, Jiongchi Yu, Fan Zhang, Xiaofei Xie, Haitao Xu, Binbin Chen May 2024

Cmd: Co-Analyzed Iot Malware Detection And Forensics Via Network And Hardware Domains, Ziming Zhao, Zhaoxuan Li, Jiongchi Yu, Fan Zhang, Xiaofei Xie, Haitao Xu, Binbin Chen

Research Collection School Of Computing and Information Systems

With the widespread use of Internet of Things (IoT) devices, malware detection has become a hot spot for both academic and industrial communities. Existing approaches can be roughly categorized into network-side and host-side. However, existing network-side methods are difficult to capture contextual semantics from cross-source traffic, and previous host-side methods could be adversary-perceived and expose risks for tampering. More importantly, a single perspective cannot comprehensively track the multi-stage lifecycle of IoT malware. In this paper, we present CMD, a co-analyzed IoT malware detection and forensics system by combining hardware and network domains. For the network part, CMD proposes a tailored …

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Enhancing Visual Grounding In Vision-Language Pre-Training With Position-Guided Text Prompts, Alex Jinpeng Wang, Pan Zhou, Mike Zheng Shou, Shuicheng Yan May 2024

Enhancing Visual Grounding In Vision-Language Pre-Training With Position-Guided Text Prompts, Alex Jinpeng Wang, Pan Zhou, Mike Zheng Shou, Shuicheng Yan

Research Collection School Of Computing and Information Systems

Vision-Language Pre-Training (VLP) has demonstrated remarkable potential in aligning image and text pairs, paving the way for a wide range of cross-modal learning tasks. Nevertheless, we have observed that VLP models often fall short in terms of visual grounding and localization capabilities, which are crucial for many downstream tasks, such as visual reasoning. In response, we introduce a novel Position-guided Text Prompt ( PTP ) paradigm to bolster the visual grounding abilities of cross-modal models trained with VLP. In the VLP phase, PTP divides an image into N x N blocks and employs a widely-used object detector to identify objects …

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Time-Controllable Keyword Search Scheme With Efficient Revocation In Mobile E-Health Cloud, Yinbin Miao, Feng Li, Xinghua Li, Zhiquan Liu, Jianting Ning, Hongwei Li, Kim-Kwang Raymond Choo, Deng, Robert H. May 2024

Time-Controllable Keyword Search Scheme With Efficient Revocation In Mobile E-Health Cloud, Yinbin Miao, Feng Li, Xinghua Li, Zhiquan Liu, Jianting Ning, Hongwei Li, Kim-Kwang Raymond Choo, Deng, Robert H.

Research Collection School Of Computing and Information Systems

Electronic health (e-health) systems may outsource data such as patient e-health records to mobile cloud servers for efficiency gains (e.g., minimizing local storage and computation costs). However, such a move may result in privacy implications in the presence of semi-honest cloud servers. Searchable Encryption (SE) can potentially facilitate privacy-preserving searches based on keywords for encrypted data stored in the mobile cloud, but most existing SE solutions do not support temporal access control (i.e., a mechanism that grants access permissions to users for specified time ranges). Hence, in this paper we design a time-controllable keyword search scheme by using an attribute-based …

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A Survey On Searchable Symmetric Encryption, Feng Li, Jianfeng Ma, Yinbin Miao, Ximeng Liu, Jianting Ning, Robert H. Deng May 2024

A Survey On Searchable Symmetric Encryption, Feng Li, Jianfeng Ma, Yinbin Miao, Ximeng Liu, Jianting Ning, Robert H. Deng

Research Collection School Of Computing and Information Systems

Outsourcing data to the cloud has become prevalent, so Searchable Symmetric Encryption (SSE), one of the methods for protecting outsourced data, has arisen widespread interest. Moreover, many novel technologies and theories have emerged, especially for the attacks on SSE and privacy-preserving. But most surveys related to SSE concentrate on one aspect (e.g., single keyword search, fuzzy keyword search) or lack in-depth analysis. Therefore, we revisit the existing work and conduct a comprehensive analysis and summary. We provide an overview of state-of-the-art in SSE and focus on the privacy it can protect. Generally, (1) we study the work of the past …

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Cooperative And Bifunctional Adsorbent-Catalyst Materials For In-Situ Vocs Capture-Conversion, Sukanta K. Mondal, Peter Aina, Ali A. Rownaghi, Fateme Rezaei May 2024

Cooperative And Bifunctional Adsorbent-Catalyst Materials For In-Situ Vocs Capture-Conversion, Sukanta K. Mondal, Peter Aina, Ali A. Rownaghi, Fateme Rezaei

Chemical and Biochemical Engineering Faculty Research & Creative Works

Volatile Organic Compounds (VOCs) Are Gases that Are Emitted into the Air from Products or Processes and Are Major Components of Air Pollution that Significantly Deteriorate Air Quality and Seriously Affect Human Health. Different Types of Metals, Metal Oxides, Mixed-Metal Oxides, Polymers, Activated Carbons, Zeolites, Metal-Organic Frameworks (MOFs) and Mixed-Matrixed Materials Have Been Developed and Used as Adsorbent or Catalyst for Diversified VOCs Detection, Removal, and Destruction. in This Comprehensive Review, We First Discuss the General Classification of VOCs Removal Materials and Processes and Outline the Historical Development of Bifunctional and Cooperative Adsorbent-Catalyst Materials for the Removal of VOCs from …

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L-Ergothioneine Slows The Progression Of Age-Related Hearing Loss In Cba/Caj Mice, Mark A. Bauer, Parveen Bazard, Alejandro A. Acosta, Nidhi Bangalore, Lina Elessaway, Mark Thivierge, Moksheta Chellani, Xiaoxia Zhu, Bo Ding, Joseph P. Walton, Robert D. Frisina May 2024

L-Ergothioneine Slows The Progression Of Age-Related Hearing Loss In Cba/Caj Mice, Mark A. Bauer, Parveen Bazard, Alejandro A. Acosta, Nidhi Bangalore, Lina Elessaway, Mark Thivierge, Moksheta Chellani, Xiaoxia Zhu, Bo Ding, Joseph P. Walton, Robert D. Frisina

Chemical and Biochemical Engineering Faculty Research & Creative Works

The naturally occurring amino acid, l-ergothioneine (EGT), has immense potential as a therapeutic, having shown promise in the treatment of other disease models, including neurological disorders. EGT is naturally uptake into cells via its specific receptor, OCTN1, to be utilized by cells as an antioxidant and anti-inflammatory. In our current study, EGT was administered over a period of 6 months to 25–26-month-old CBA/CaJ mice as a possible treatment for age-related hearing loss (ARHL), since presbycusis has been linked to higher levels of cochlear oxidative stress, apoptosis, and chronic inflammation. Results from the current study indicate that EGT can prevent aging …

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The Effect Of Intangible Assets On Corporate Financial Performance: The Evidence From Serbia, Vladimir Dženopoljac, Amer Rastić, Aleksandra Dženopoljac May 2024

The Effect Of Intangible Assets On Corporate Financial Performance: The Evidence From Serbia, Vladimir Dženopoljac, Amer Rastić, Aleksandra Dženopoljac

All Works

The paper examines how intangible assets, measured as the Value Added Intellectual Coefficient (VAIC), impact the margin and return ratios of the most profitable companies in Serbia. Previous research has demonstrated that intangible assets have a positive effect on the company’s profitability across various contexts, including the European Union, the United Kingdom, and Serbia as well. This research study aims to determine whether intangible assets have a positive effect on the four ratios, namely the Net Profit Margin (NPM), the Earnings Before Interests, Taxes, Depreciation, and Amortization margin (EBITDAm), Return on Assets (ROA), and Return on Equity (ROE) or not. …

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Post-Brexit International Trade: The Impact Of Brexit Import Duties On The Outdoor Clothing Industry Between The United Kingdom And The Republic Of Ireland., Nurdin Shadiev May 2024

Post-Brexit International Trade: The Impact Of Brexit Import Duties On The Outdoor Clothing Industry Between The United Kingdom And The Republic Of Ireland., Nurdin Shadiev

Business ETD Collections

This study investigates the effects of changing import duties and customs following Brexit on trade within the outdoor clothing sector in the UK and Ireland. Brexit has caused drastic changes to the terms of trade for the UK following its withdrawal from the EU. These changes particularly affect the outdoor clothing sector and other businesses that rely on already established trade relationships with the Republic of Ireland. This review aims to examine the impacts of Brexit import duties on the outdoor clothing sector.

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Pediatric Trauma-Informed Care And Implications For Occupational Therapy Practitioners, Quaneka Hoskin-Chase May 2024

Pediatric Trauma-Informed Care And Implications For Occupational Therapy Practitioners, Quaneka Hoskin-Chase

UNLV Theses, Dissertations, Professional Papers, and Capstones

Occupational therapy practitioners are provided a wealth of knowledge through school and professional fieldwork experiences to understand and skillfully address the needs of children who have been exposed to trauma. Therapists are competently prepared to provide holistic and client-centered care that is dedicated to meaningful and volitional engagement (Lynch et al., 2021). However, many therapists still lack the confidence and awareness of their role related to trauma-informed care in the pediatric environment (Piller, 2022). Trauma compromises each domain of occupation (Lynch et al., 2021). As early intervention specialists, the lack of responsiveness to children’s trauma can have devastating and enduring …

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Democracy Building Instruction: Defining A Theory Of The Dispositions Of Democracy To Support Democratic Education, Jackie M. Miller May 2024

Democracy Building Instruction: Defining A Theory Of The Dispositions Of Democracy To Support Democratic Education, Jackie M. Miller

Boise State University Theses and Dissertations

What are the attitudes, mindsets, and capacities that promote the full flourishing of individuals as well as our collective society? Based on a review of the literature on democratic education, the researcher posits a humble theory (i.e., a local theory in educational research) of the dispositions of democracy and then asks educators from Kindergarten through College (K-College) to share their perspectives, reflect on, co-construct, and revise this initial theory. The study considers the overarching question: What do educators perceive to be the essential dispositions necessary to promoting, perpetuating, and productively participating in a democracy, and how can educators help students …

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Before And Beyond The Comintern: The American Popular Front, Kent Kiser May 2024

Before And Beyond The Comintern: The American Popular Front, Kent Kiser

Boise State University Theses and Dissertations

This project explores the concept of the Popular Front in the United States as a cross-class coalition, mass-party movement that attempted to attract the urban working and middle classes as well as small farmers. In contrast to the academic perception that the Popular Front’s birth and growth in the United States from 1935 to 1938 was an abrupt turn in Communist policy ordered from above, this thesis argues that the beginning and changes to the Popular Front had substantial American roots. Tracing the Popular Front concept of a mass Farmer-Labor Party back into the nineteenth century, this thesis challenges a …

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