Physical Sciences and Mathematics Commons^™

An Overview Of Ancillary Services Provided By Vehicle-To-Grid Systems, Fazel Mohammadi, Mahmood Mirhashemi

Electrical & Computer Engineering and Computer Science Faculty Publications

Vehicle-to-Grid (V2G) systems are emerging as a pivotal technology in modern power systems, offering a range of ancillary services that enhance the stability and reliability of power systems. This paper provides an overview of the key ancillary services provided by V2G systems, highlighting their role in grid modernization. Technical challenges, economic implications, and policy considerations associated with the deployment of V2G systems are explored to assess their potential impact on advancing a more resilient and sustainable energy infrastructure.

On Spatiotemporal Trends In Meter-Scale Gris Surface Roughness And The Development Of An On-Ice Laser Distance Meter, Jamie C. Good

Dartmouth College Master’s Theses

Surface roughness is a critical component of the energy and mass balance of the Greenland Ice Sheet (GrIS). However, roughness is often oversimplified in predictive models due to its inherent scale dependency. Accurate quantification of roughness, including its recent changes and driving factors, is critically important for understanding and predicting GrIS surface dynamics. Using multi- and single-scale methods of roughness analysis, I assess spatiotemporal trends in GrIS meter-scale surface roughness from 2009 to 2019 with Operation IceBridge’s Airborne Topographic Mapper ILATM2 product. Additionally, with data from on-ice automated weather stations, I employ machine learning techniques to identify primary climatic controls …

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 …

Bridging Human And Machine Intelligence: Reverse-Engineering Radiologist Intentions For Clinical Trust And Adoption, Akash Awasthi, Ngan Le, Zhigang Deng, Rishi Agrawal, Carol C. Hu, Hien Van Nguyen

Computer Science and Computer Engineering Faculty Publications and Presentations

In the rapidly evolving landscape of medical imaging, the integration of artificial intelligence (AI) with clinical expertise offers unprecedented opportunities to enhance diagnostic precision and accuracy. Yet, the "black box" nature of AI models often limits their integration into clinical practice, where transparency and interpretability are important. This paper presents a novel system leveraging the Large Multimodal Model (LMM) to bridge the gap between AI predictions and the cognitive processes of radiologists. This system consists of two core modules, Temporally Grounded Intention Detection (TGID) and Region Extraction (RE). The TGID module predicts the radiologist's intentions by analyzing eye gaze fixation …

Toward A Responsible Future: Recommendations For Ai-Enabled Clinical Decision Support, Russell Leftwich, Eileen Koski, Amanda L Joseph, Monica Lopez-Gonzalez, Lee A Fleisher, Kimberly Nolen, Sayon Dutta, Deborah R Levy, Amy Price, Paul J Barr, Jonathan D Hron, Baihan Lin, Gyana Srivastava, Nuria Pastor, Unai Sanchez Luque, Tien Thi Thuy Bui, Reva Singh, Tayler Williams, Mark G Weiner, Tristan Naumann, Dean F Sittig, Gretchen Purcell Jackson, Yuri Quintana

Faculty, Staff and Student Publications

BACKGROUND: Integrating artificial intelligence (AI) in healthcare settings has the potential to benefit clinical decision-making. Addressing challenges such as ensuring trustworthiness, mitigating bias, and maintaining safety is paramount. The lack of established methodologies for pre- and post-deployment evaluation of AI tools regarding crucial attributes such as transparency, performance monitoring, and adverse event reporting makes this situation challenging.

OBJECTIVES: This paper aims to make practical suggestions for creating methods, rules, and guidelines to ensure that the development, testing, supervision, and use of AI in clinical decision support (CDS) systems are done well and safely for patients.

MATERIALS AND METHODS: In May …

Ai And Data Science For Public Policy, Kenneth Benoit

Research Collection School of Social Sciences

Artificial intelligence (AI) and data science are reshaping public policy by enabling more data-driven, predictive, and responsive governance, while at the same time producing profound changes in knowledge production and education in the social and policy sciences. These advancements come with ethical and epistemological challenges surrounding issues of bias, transparency, privacy, and accountability. This special issue explores the opportunities and risks of integrating AI into public policy, offering theoretical frameworks and empirical analyses to help policymakers navigate these complexities. The contributions explore how AI can enhance decision-making in areas such as healthcare, justice, and public services, while emphasising the need …

Testing The Molecular Cloud Paradigm For Ultra-High-Energy Gamma Ray Emission From The Direction Of Snr G106.3+2.7, R. Alfaro, C. Alvarez, J. C. Arteaga-Velázquez, D. Avila Rojas, H. A. Ayala Solares, R. Babu, S. Groetsch, P. Hüntemeyer, M. Najafi, R. Turner, X. Wang, Et Al.

Michigan Tech Publications

Context. Supernova remnants (SNRs) are believed to be capable of accelerating cosmic rays (CRs) to PeV energies. SNR G106.3+2.7 is a prime PeVatron candidate. It is formed by a head region, where the pulsar J2229+6114 and its boomerang-shaped pulsar wind nebula are located, and a tail region containing SN ejecta. The lack of observed gamma ray emission from the two regions of this SNR has made it difficult to assess which region would be responsible for the PeV CRs. Aims. We aim to characterize the very-high-energy (VHE, 0.1-100 TeV) gamma ray emission from SNR G106.3+2.7 by determining the morphology and …

Regulating Adaptive Medical Artificial Intelligence: Can Less Oversight Lead To Greater Compliance?, Jiayi Lai, Liang Xu, Xin Fang, Tinglong Dai

Research Collection Lee Kong Chian School Of Business

As of June 2024, the U.S. Food and Drug Administration (FDA) has approved 950 medical artificial intelligence (AI) devices. The current regulatory framework freezes AI algorithms after approval, requiring new submissions for updates to ensure compliance with Good Machine Learning Practices (GMLP). This approach imposes a significant administrative burden, while hindering the ability of AI algorithms to learn from new data. To address these challenges, the FDA has explored a novel pathway known as Predetermined Change Control Plans (PCCP), allowing developers to outline future changes during initial submissions and exempting approved changes from regulatory review. Yet, the impact of this …

Building Stronger Maritime Governance In Belize : A Collaborative And Organizational Approach, Jasmine Deneen Bellini

World Maritime University Dissertations

No abstract provided.

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.

An Evaluation Of The Legal Framework For Seizure And Detention Of Ships For Maritime Law Enforcement In Nigeria, Adetayo Yusuf Adesokan

World Maritime University Dissertations

No abstract provided.

Understanding Cybersecurity Perception In The Maritime Sector Of Nigeria : A Comparative Analysis, Lawal Mohammed Abdulrasaq

World Maritime University Dissertations

No abstract provided.

A Prominent Future Fuel : Methanol & Risk Assessment Of Methanol Fuel System Of Tanker As A Case Study, Jaeho Jin

World Maritime University Dissertations

No abstract provided.

A Study To Examine Vessel Traffic Services In The Context Of Maritime Autonomous Surface Ships : Strait Of Malacca As A Case Study, Nadarajan Perumal

World Maritime University Dissertations

No abstract provided.

Assessment Of The Impact Of Marine Pollution In Maputo Port, Mozambique, Lina Maria Elias Vasco

World Maritime University Dissertations

No abstract provided.

A Study On The Risk Assessment Of Japanese Domestic Passenger Vessel Accident, Miki Yanagisawa

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.

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 …

Using Convolutional Neural Network To Determine Time Window For Analyzing Local Shear-Wave Splitting Measurements, Yanwei Zhang, Stephen S. Gao

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The time window for analyzing local shear-wave splitting (SWS) phases significantly affects the quality of measurements, revealing a noteworthy domain influence. In this study, an approach using convolutional neural network (CNN) is applied to determine the end of time window (e), which has a similar idea of the phase-picking CNNs. The start of time window is 0.5 s before e. Our data set contains 803 human-labeled measurements, recorded from three stations located in Ridgecrest, California. These measurements are foreshocks and aftershocks of an M 7.1 earthquake on 6 July 2019. After 21 times shifting on each measurement, 90% of the …

Molecular Dynamics Investigation Of The Influenza Hemagglutinin Conformational Changes In Acidic Ph, Shadi A. Badiee, Vivek Govind Kumar, Mahmoud Moradi

Chemistry & Biochemistry Faculty Publications and Presentations

The surface protein hemagglutinin (HA) of the influenza virus plays a pivotal role in facilitating viral infection by binding to sialic acid receptors on host cells. Its conformational state is pH-sensitive, impacting its receptor-binding ability and evasion of the host immune response. In this study, we conducted extensive equilibrium microsecond-level all-atom molecular dynamics (MD) simulations of the HA protein to explore the influence of low pH on its conformational dynamics. Specifically, we investigated the impact of protonation on conserved histidine residues (H106₂) located in the hinge region of HA2. Our analysis encompassed comparisons between nonprotonated (NP), partially protonated …

Exploring The Family Well-Being Of Dual-Coast Guard Marriages In The Philippines, Marie Shermaine Andrade

World Maritime University Dissertations

No abstract provided.

Human Capital Development : Bridging The Skills Gap In The Maritime Administration Of Namibia, Agnes Matheus

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.

Factors Influencing Households’ Willingness To Adopt Rooftop Solar Power In The Philippines, Rosalina Palanca-Tan

Economics Department Faculty Publications

The Philippines is endowed with vast solar potential. Through rooftop solar power (RTSP), households directly participate in the clean energy transition, expanding renewable energy supply to meet increasing energy demand and effectively lowering electricity costs for themselves. Yet, RTSP in the country remains largely untapped. Using the Contingent Valuation framework, this study conducted a survey of households in Metro Manila and its neighboring provinces to identify the factors that influence adoption and willingness to pay for RTSP. Survey results reveal that both economic (mainly electricity bill reduction) and environmental benefits are well-recognized and positively correlated with RTSP adoption. The study …

Law-Aware Autonomous Driving, Yang Sun

Dissertations and Theses Collection (Open Access)

Autonomous driving systems (ADSs) necessitate comprehensive testing prior to deployment in Autonomous Vehicles (AVs). High-fidelity simulators are crucial for this testing, as they can replicate a wide range of scenarios, including those that are difficult or dangerous to recreate in real-world conditions. While previous approaches have demonstrated that test cases can be generated automatically, they often focus on weak oracles (e.g., reaching the destination without collisions) and fail to assess whether the journey was conducted safely and in compliance with some complex property specifications such as traffic laws. In this dissertation, beyond assessing basic properties like energy consumption and proximity …

Towards Trustworthy Recommendation Systems: Beyond Collaborative Filtering, Zhongzhou Liu, Zhongzhou

Dissertations and Theses Collection (Open Access)

Recommendation systems have been widely deployed in various scenarios and applications, such as e-commerce, social media, and streaming services. Recommendation systems have significantly influenced how we interact with various items in a wide range of platforms. They help users discover their preferred items and provide efficient and enjoyable experiences. They also help item providers and platforms to quickly find their potential customers, thus increasing the total revenue and user engagement.

The majority of existing recommendation systems merely focus on the matching between users and items, aiming for higher recommendation accuracy. Collaborative filtering is regarded as one of the most successful …

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 …

Food Computing: Domain Adaptation And Causal Inference, Qing Wang

Dissertations and Theses Collection (Open Access)

This dissertation addresses two challenges in food computing: food recognition and food image-to-recipe retrieval. The main research ideas are: (1) leveraging Large Language Models (LLMs) to augment food image representations to mitigate the combined challenges of domain gaps and data imbalance in fine-grained food recognition; (2) proposing a causal-theory inspired cross-modal representation learning formulation for reducing the bias caused by the emphasis on certain ingredients for cross-modal recipe retrieval; and (3) extending the framework to incorporate multiple confounding factors, particularly ingredients and cooking actions, allows for more comprehensive modeling of the food image-torecipe retrieval problem.

We first explore the challenges …