Digital Commons Network^™

Contactless And Scalable Approaches For Human Health And Performance Sensing, Ngoc Doan Thu Tran

Dissertations and Theses Collection (Open Access)

Human health and performance sensing has been extensively studied, from physiology to mental health and movement analytics. However, typical approaches rely on invasive and contact sensors or require professional practitioners, limiting their scalability. For example, the gold standard for measuring heart rate is through an electrocardiogram (ECG), which requires multiple probes attached to the skin and is impractical for individuals with skin issues. Additionally, it typically needs to be performed in a hospital setting under the supervision of a trained cardiac physiologist. Depression detection often relies on the expertise of psychologists or psychiatrists. However, there is a shortage of these …

Hi3d: Pursuing High-Resolution Image-To-3d Generation With Video Diffusion Models, Haibo Yang, Yang Chen, Yingwei Pan, Ting Yao, Zhineng Chen, Chong-Wah Ngo, Tao Mei

Research Collection School Of Computing and Information Systems

Despite having tremendous progress in image-to-3D generation, existing methods still struggle to produce multi-view consistent images with high-resolution textures in detail, especially in the paradigm of 2D diffusion that lacks 3D awareness. In this work, we present High-resolution Image-to-3D model (Hi3D), a new video diffusion based paradigm that redefines a single image to multi-view images as 3D-aware sequential image generation (i.e., orbital video generation). This methodology delves into the underlying temporal consistency knowledge in video diffusion model that generalizes well to geometry consistency across multiple views in 3D generation. Technically, Hi3D first empowers the pre-trained video diffusion model with 3D-aware …

Don’T Just Say “I Don’T Know”! Self-Aligning Large Language Models For Responding To Unknown Questions With Explanations, Yang Deng, Yong Zhao, Moxin Li, See-Kiong Ng, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Despite the remarkable abilities of Large Language Models (LLMs) to answer questions, they often display a considerable level of overconfidence even when the question does not have a definitive answer. To avoid providing hallucinated answers to these unknown questions, existing studies typically investigate approaches to refusing to answer these questions. In this work, we propose a novel and scalable self-alignment method to utilize the LLM itself to enhance its response-ability to different types of unknown questions, being capable of not only refusing to answer but also providing explanation to the unanswerability of unknown questions. Specifically, the Self-Align method first employ …

Effect Of Virtual Reality Technology On Computer Science/Engineering Based Laboratories Education – A Case Study, Mariam A. Al Nuaimi

Theses

Virtual reality (VR) is becoming increasingly popular and essential in education as institutions strive to incorporate technology in education. In Engineering and Computer Science, students face difficulties in comprehending many abstract complex concepts that are typically studied in Labs. This situation worsens with hardware failure and the lack of pedagogical tools. The main goal of this paper is to investigate the impact of VR environments on learning advanced and complex STEM concepts. We also explore the impact of different human-computer interaction (HCI) techniques including gamification on the learning experience of STEM students. To measure such impact, we developed a VR …

State Of The Fisheries: Status Reports Of The Fisheries And Aquatic Resources Of Western Australia 2023/24, Stephen J. Newman, Jenny Moore, Daniel J. Gaughan

Status Reports of the Fisheries and Aquatic Resources

This edition of the “State of the fisheries” continues the tradition of annually reporting on the status of exploited fish and their habitats in Western Australia. Critically, the reports provide overviews of the science outcomes that underpin management of fishing across the state.

Scientifically assessing the status of fish resources and potential impacts on ecosystems is inherently challenging; I acknowledge and thank the dedicated fisheries science teams and various support staff for again producing outstanding, robust scientific results that are summarised herein. I similarly acknowledge (i) the fisheries management team who use the science outcomes in policy development and to …

Collectively Advancing Deep Learning For Animal Detection In Drone Imagery: Successes, Challenges, And Research Gaps, Daniel Axford, Ferdous Sohel, Mathew A. Vanderklift, Amanda J. Hodgson

Research outputs 2022 to 2026

Drones have emerged as a powerful tool in animal detection, significantly advancing wildlife monitoring, conservation, and management by capturing high-resolution, real-time imagery over areas often inaccessible or challenging for human observers to reach. However, manual analysis of drone imagery for animal detection is labour-intensive and time-consuming. The application of deep learning methods, particularly convolutional neural networks, in automating animal detection from drone imagery has the potential to revolutionise wildlife monitoring, conservation, and management protocols. This review provides a comprehensive overview of the increasing use and prospects of deep learning in animal detection using drone imagery. It explores successful applications of …

Advancing Crispr-Based Solutions For Covid-19 Diagnosis And Therapeutics, Roaa Hadi, Abhishek Poddar, Shivakuma Sonnaila, Venkata Suryanarayana Murthy Bhavaraju, Shilpi Agrawal

Chemistry & Biochemistry Faculty Publications and Presentations

Since the onset of the COVID-19 pandemic, a variety of diagnostic approaches, including RT-qPCR, RAPID, and LFA, have been adopted, with RT-qPCR emerging as the gold standard. However, a significant challenge in COVID-19 diagnostics is the wide range of symptoms presented by patients, necessitating early and accurate diagnosis for effective management. Although RT-qPCR is a precise molecular technique, it is not immune to false-negative results. In contrast, CRISPR-based detection methods for SARS-CoV-2 offer several advantages: they are cost-effective, time-efficient, highly sensitive, and specific, and they do not require sophisticated instruments. These methods also show promise for scalability, enabling diagnostic tests. …

Neutrosophic Logic-Based Crop Yield Prediction And Risk Assessment Using Least Squares Regression, M. Srikanth, R.N.V. Jagan Mohan, M. Chandra Naik

Neutrosophic Systems with Applications

Agriculture faces significant challenges due to climate change and unpredictable environmental factors, which impact crop yields and threaten food security. This study proposes a novel approach to crop yield prediction and risk assessment using neutrosophic logic and least squares regression. By integrating these methods, we aim to improve accuracy in predicting crop losses under uncertain conditions. The model classifies crops based on profitability and environmental risks, utilizing the independence test to evaluate the relationships between crop attributes. Our approach leverages deep learning techniques, such as restricted Boltzmann machines (RBM), to enhance the analysis of crop data and provide farmers with …

Product Perspective From Fuzzy To Neutrosophic Graph Extension- A Review Of Literature, G. Vetrivel, M. Mullai, G. Rajchakit

Neutrosophic Systems with Applications

This review article consolidates and tabulates research on the product operations done in fuzzy, intuitionistic fuzzy, and neutrosophic graphs. This article encompasses the previous product discussions on fuzzy graphs and their extensions. This article aims to list the origin, structural properties, applications, etc. done by the researchers and academicians using the product behavior of two graphs on the fuzzified environment. This review provides a clear understanding of enhancements of product approach on graphs from fuzzy to neutrosophic kind.

A Neutrosophic Model For Measuring Evolution, Involution, And Indeterminacy In Species: Integrating Common And Uncommon Traits In Environmental Adaptation, Antonios Paraskevas, Michael Madas

Neutrosophic Systems with Applications

In 2017, Professor F. Smarandache introduced the Neutrosophic Theory of Evolution, Involution, and Indeterminacy (or Neutrality) (NToEIaI). He concluded that every theory of evolution is characterized by a certain degree of truth, indeterminacy, and untruth, as in neutrosophic logic. In this perspective, he raised several open questions on evolution, neutrality, and involution that required further research effort. Very recently, in 2024, Smarandache conducted research, from a soft sciences/philosophical viewpoint, on identifying and studying common parts in uncommon things and uncommon parts in common things emphasizing the complexity and interconnectedness of concepts within the context of neutrosophy. In this article, we …

Application Of The Neutrosophic Poisson Distribution Series On The Harmonic Subclass Of Analytic Functions Using The Salagean Derivative Operator, Adeniyi M. Gbolagade, Ibrahim T. Awolere, Olusola Adeyemo, Abiodun T. Oladipo

Neutrosophic Systems with Applications

The authors explore the innovative application of the Neutrosophic series, particularly the Neutrosophic Poisson Distribution Series (NPDS), to investigate various indeterminacy or uncertainties inherent in the classical univalent harmonic function class. The Neutrosophic Poisson Distribution Series is equipped with a Salangean derivative operator and convoluted with analytic univalent harmonic function class to derive new properties, such as inclusion relation, and coefficient inequalities for star-likeness. The results obtained demonstrate the effectiveness of this approach in capturing the inherent uncertainties and complexities associated with harmonic functions. There are several other areas of importance of our results that can be unlocked by computer …

The Effects Of Wildfires On The Mental And Physical Health Of School-Age Children In North America: A Scoping Review, Sarah Oerther, Sarah Manspeaker, Alison Wix, Daniel Oerther, Carmen Marsit

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Background: Wildfires are occurring more often and with greater intensity, leading to longer and harsher fire seasons. As a result, children are more frequently exposed to wildfire smoke, which increases their risk of mental and physical health effects. Purpose: The purpose of our scoping review is to explore the current literature on what is known about the direct and indirect impacts of wildfires on the mental and physical health of school-age children in North America (5 to 18-year-olds). Methods: A health sciences librarian-assisted literature search, with input from the research team, was performed. Results: A total of 16 studies were …

A Liquid Crystal-Based Biomaterial Platform For Rapid Sensing Of Heat Stress Using Machine Learning, Prateek Verma, Elizabeth Adeogun, Elizabeth S. Greene, Sami Dridi, Ukash Nakarmi, Karthik Nayani

Poultry Science Faculty Publications and Presentations

Novel biomaterials that bridge the knowledge gap in coupling molecular/protein signatures of disease/stress with rapid readouts are a critical need of society. One such scenario is an imbalance between bodily heat production and heat dissipation which leads to heat stress in organisms. In addition to diminished animal well-being, heat stress is detrimental to the poultry industry as poultry entails fast growth and high yields, resulting in greater metabolic activity and higher body heat production. When stressed, cells overexpress heat shock proteins (such as HSP70, a well-established intracellular stress indicator) and may undergo changes in their mechanical properties. Liquid crystals (LCs, …

Critical Valuation Of The Implementation Of Imo’S Guidelines For The Reduction Of Underwater Radiated Noise : A Kenyan Perspective, Swabra Mohamed Abdulrahman

World Maritime University Dissertations

No abstract provided.

Analysis Of The Impact Of Mass On The International Regulatory Framework In The Example Of Unclos Terminology : Issues, Legal Challenges, Possible Solutions, Akbar Akbarov

World Maritime University Dissertations

No abstract provided.

Acci̇Dental Oi̇L Polluti̇On From Tankers İN The Caspi̇An Sea : Problem Causes And Lessons Learned, Emin Sadirov

World Maritime University Dissertations

No abstract provided.

Evaluation Of Port Reception Facilities And Ship-Generated Solid Waste Management : A Case Study Of Apapa Port, Nigeria., Abdullahi Gambasha Barau

World Maritime University Dissertations

No abstract provided.

Use Of Environmental Dna To Examine Seagrass Ecosystem Functionality, Kathy Ann Young

World Maritime University Dissertations

No abstract provided.

Accumulation Of Road Salt In A Calcareous Fen: Kampoosa Bog, Western Massachusetts, Wayne Ndlovu, Andrew J. Guswa, Amy L. Rhodes

Geosciences: Faculty Publications

Road salt poses a threat to the quality of soils and water resources. Wetlands located in salt contaminated areas are at risk of experiencing lower plant and animal species diversity. Therefore, it is critical to understand how modifications to salt application rates and hydrological events impact wetland water quality. Here, we use chloride mass flux, discharge, groundwater chloride concentration, meteorological, and salt application data from 2012– 2020 to estimate chloride accumulation and outflux rates in the Kampoosa Bog subwatersheds, located in Stockbridge and Lee, Massachusetts, and bordered by major highways (Interstate-90 and U.S. Route 7). We also investigate the correlation …

The Pennsylvania Wilds And The Rhetorical Construction Of Wilderness, Casey R. Schmitt

Sustainability Research & Practice Seminar Presentations

Professor Casey R. Schmitt, Interdisciplinary Studies, presents "The Pennsylvania Wilds and the Rhetorical Construction of Wilderness".

Bridging The Protection Gap: Innovative Approaches To Shield Older Adults From Ai-Enhanced Scams, Ld Herrera, London Van Sickle, Ashley L. Podhradsky

Research & Publications

Artificial Intelligence (AI) is rapidly gaining popularity as individuals, groups, and organizations discover and apply its expanding capabilities. Generative AI creates or alters various content types including text, image, audio, and video that are realistic and challenging to identify as AI-generated constructs. However, guardrails preventing malicious use of AI are easily bypassed. Numerous indications suggest that scammers are already using AI to enhance already successful scams, improving scam effectiveness, speed and credibility, while reducing detectability of scams that target older adults, who are known to be slow to adopt new technologies. Through hypothetical cases analysis of two leading scams, the …

Wics Conference 2024: Creating Connections Together: Agenda And Abstracts, Daren D. Redfearn, Christopher A. Proctor

Water and Integrated Cropping Systems Conferences

WICS Conference 2024: Creating Connections Together

Agenda and Abstracts

Water Security (Quantity/Quality)

Nebraska Groundwater Quality Clearinghouse; Augustine Adjei, Martha Rhoades, and Kent Eskridge

Assessing the AquaCrop model’s accuracy for soybean under variable irrigation; Anmol Singh

Yield response of irrigated maize hybrids to water availability; Thais Murias Jardi, Saleh Taghvaeian, Chris Proctor, Daran Rudnick, and Chuck Burr

Using the DSSAT CERES-Maize model to evaluate farmers' irrigation decisions; Rintu Sen

Nutrient Management and Cycling

Effect of cover crop mixtures and crop rotation on nitrogen dynamics and crop yield in southeast Nebraska; Madhusudhan Adhikaari

Nitrogen inhibitors reduce nitrogen losses via ammonia volatilization, nitrous …

Assessing The Impact Of Ai Assisted Software Development And User Experience Of A College Football Simulation Game: A Study Of Player And Industry Professional Perspectives, Augustus J. Scarlato Iii

USF Tampa Graduate Theses and Dissertations

This research examines the use of Artificial Intelligence (AI) in the design of video games, specifically the development of a college football simulation game. This study documents the creation of an alpha version college simulation game assisted by Open AI’s Chat GPT 4.0 API, to potentially improve game development, gameplay realism, and user interaction. The study then assesses how both student players and industry professionals perceive AI-enhanced gaming, emphasizing the usability, gameplay experience, and overall quality of the game using a Likert scale survey. The analysis also highlights differences in perceptions between students and industry professionals, with the latter group …

New Materialism And Public Lands: Opportunities For Human And Nonhuman Interactions At Petroglyph National Monument, Madilynn M. Nolen

Geography ETDs

Petroglyph National Monument (PETR) resides at the intersection of geology, urban development, and environmental preservation. As the site of convergence for these complex systems, this National Park site is an example of what kinds of interactions occur between humans and nonhumans and how these interactions mediate our broader understanding of material world. This project utilizes literature from more-than-human geographies and new materialism to examine how these interactions inform the management strategies of PETR. Through the interviews of 15 Volunteers-in-Parks and a focus group of five PETR employees, this project investigates what nonhuman entities are present on and around the monument, …

Climate Change And The Logan River: Past, Present, And Future, Mercy Smith, Kendall Becker, Scott Hotaling

All Current Publications

The Logan River runs through Idaho and northern Utah, beginning in the Bear River Mountains and flowing through Logan Canyon to Cutler Reservoir. The river is socially and ecologically significant to the Cache Valley community. Throughout its history, the Logan River’s water and energy have sustained life within the valley. However, climate change is threatening the Logan River’s support of both human and animal communities. Rising water temperatures and reduced flow caused by declining snowpack may impair the river’s ability to maintain healthy ecosystems.

Gas Chromatography-Mass Spectrometry (Gc-Ms), Computational Analysis, And In Vitro Effect Of Essential Oils From Two Aromatic Plants, Bubonium Graveolens And Launaea Arborescens Growing In Southwest Algeria Against Potato Cyst Nematodes, Souad Ziane, Chaouki Selles, Khaldun M. Al Azzam, Bounoua Nadia, Belal O. Al-Najjar, Ali Al-Samydai, Obada A. Sibai, El-Sayed Negim

Karbala International Journal of Modern Science

The study tested the nematicidal effects of essential oils from Bubonium graveolens and Launaea arborescens on the potato cyst nematode Globodera rostochiens. The chemical composition of the essential oils was analyzed using GC-MS. To determine the concentration that killed 50% of the nematode population (LC50), five concentrations of the essential oils were applied to the tested organisms. The effects of essential oils on the hatching of cyst nematode (Globodera rostochiensis sp.) eggs in vitro demonstrated a wide variety of effects ranging from no impact to mild, moderate, and strong effects, which increased dramatically with exposure duration and concentration. All the …

Skin Microbiome: Current Target For Cosmeceuticals, Priyanka Kakkar, Neeraj Wadhwa

Karbala International Journal of Modern Science

Skin acts as a barrier to the external environment and perform various functions like maintaining internal homeostasis, sensations to touch based stimuli, vitamin D production and defence against foreign pathogens, prevent dehydration. Skin has its own diverse microbiota like bacteria, virus, fungi that is collectively called as skin microbiome. Skin microbiome balance is disturbed (condition called dysbiosis) by both internal and external factors which lead to skin problems like acne, psoriasis, dandruff. It is important to maintain the healthy skin ecosystem. Cosmeceuticals i.e., combination of cosmetic and pharmaceuticals, is a recent trend in the skin care industry where we add …

San Diego Collaboration For Conservation: Sustaining The Region's Legacy Of Biodiversity Conservation, Tessa Tinkler, Darbi Berry, A-Bel Gong, Bryan Cardenas, Daniela Olguin, Connelly Meschen, Eo Hanabusa

Environment

We are living through significant environmental, social, political, and economic challenges. These challenges have strained our communities and humanbuilt systems, as well as our interconnected habitats, wildlife, and natural systems. Lack of adequate infrastructure to withstand natural disasters and climate change, as well as historical and presentday inequities in resources across neighborhoods, are examples of the multifaceted and interconnected threats contributing to the accelerated loss of our rich biodiversity. This natural abundance is integral to our region’s health, history, and continued prosperity.

Empowering Modernization Of National Emergency Management With New Generation Of Information Technology: Technology Foresight And Policy Recommendations Based On Typical Scenarios, Haibo Zhang, Xinyu Dai, Yi Peng, Yi Liu, Xue Lin, Yongjian Zhu, Wu Chen, Zhen Wu, Xinyue Qin, Depei Qian, Jian Lv

Bulletin of Chinese Academy of Sciences (Chinese Version)

In the context of the new round of scientific and technological revolution, how to grasp the historical opportunity of supporting the development of the “overall safety and emergency response framework” with the NGIT, and promoting the transformation of the public safety governance to emphasis on prevention, is a pressing issue to be studied. This study focuses on five typical scenarios in emergency management, drawing on multiple rounds of expert interviews and questionnaire surveys to identify a list of critical technologies, analyze future development trends and constraints, and provide references for advancing relevant technological research and development. The study further emphasizes …

Factors Influencing The Faunal Recolonization Of Restored Thornscrub Forest Habitats, Audrey J. Hicks, Jerald T. Garrett, Christopher A. Gabler

School of Earth, Environmental, & Marine Sciences Faculty Publications

Tamaulipan thornscrub forests (thornforests) have high ecological and economic values, yet over 90% of these forests have been lost, and they remain threatened, making them a conservation hotspot. For decades, federal, state, NGO, and corporate entities have been acquiring land and actively or passively restoring these forests, but results have been mixed and seldom monitored. This study characterized and quantified faunal communities of restored thornforest habitats in south Texas and examined the relationships between restored faunal communities and key site characteristics and environmental factors. We surveyed and analyzed mammal, bird, Lepidoptera, and herptile communities within 12 restored sites in the …