Digital Commons Network^™

Cardiovascular Variability, Sociodemographics, And Biomarkers Of Disease: The Midus Study, Tara Gruenewald, Teresa E. Seeman, Tse-Hwei Choo, Jennifer Scodes, Clayton Snider, Martina Pavlicova, Maxine Weinstein, Joseph E. Schwartz, Ramakrishna Mukkamala, Richard P. Sloan

Psychology Faculty Articles and Research

Introduction: Like heart rate, blood pressure (BP) is not steady but varies over intervals as long as months to as short as consecutive cardiac cycles. This blood pressure variability (BPV) consists of regularly occurring oscillations as well as less well-organized changes and typically is computed as the standard deviation of multiple clinic visit-to-visit (VVV-BP) measures or from 24-h ambulatory BP recordings (ABPV). BP also varies on a beat-to-beat basis, quantified by methods that parse variation into discrete bins, e.g., low frequency (0.04–0.15 Hz, LF). However, beat-to-beat BPV requires continuous recordings that are not easily acquired. As a result, we …

Hypergraph-Based Multi-Robot Task And Motion Planning, James Motes, Tan Chen, Timothy Bretl, Marco Morales Aguirre, Nancy M. Amato

Michigan Tech Publications

In this article, we present a multi-robot task and motion planning method that, when applied to the rearrangement of objects by manipulators, results in solution times up to three orders of magnitude faster than the existing methods and successfully plans for problems with up to 20 objects, more than three times as many objects as comparable methods. We achieve this improvement by decomposing the planning space to consider manipulators alone, objects, and manipulators holding objects. We represent this decomposition with a hypergraph where vertices are decomposed elements of the planning spaces and hyperarcs are transitions between elements. The existing methods …

Structured Illumination Microscope Image Reconstruction Using Unrolled Physics-Informed Generative Adversarial Network (Upigan), Seyedeh Parisa Dajkhosh

Electronic Theses and Dissertations Archive

In three-dimensional structured illumination microscopy (3D-SIM) where the images are taken from the object through the point spread function (PSF) of the imaging system, data acquisition can result in images taken under undesirable aberrations that contribute to a model mismatch. The inverse imaging problem in 3D-SIM has been solved using a variety of conventional model-based techniques that can be computationally intensive. Deep learning (DL) approaches, as opposed to traditional restoration methods, tackle the issue without access to the analytical model. This research aims to provide an unrolled physics-informed generative adversarial network (UPIGAN) for the reconstruction of 3D-SIM images utilizing data …

Transport Carbon Emission Reduction In A Seaport : Dry Port System, Jianshi Kang

World Maritime University Dissertations

No abstract provided.

Research On Performance Evaluation System Of Shipping Enterprises Under "Double Carbon" Strategy, Xiaoyu Xue

World Maritime University Dissertations

No abstract provided.

Techniques For Automating The Prediction Of Covid-19 Hospital Admission Risk, Joshua M. Landman

McKelvey School of Engineering Graduate Student Theses & Dissertations

Machine learning has catalyzed significant strides in improving the quality of predictions regarding patient health. However, significant specific expertise is still required to properly develop statistical and machine learning models that can perform those predictions. Automated machine learning, or AutoML, represents an opportunity to democratize the construction of machine learning models and enable stakeholders without that expertise to create those models. In this dissertation, I explore the feasibility of implementing an AutoML pipeline for predicting the risk of patients’ admission to the hospital within 30-days of their first positive COVID-19 test by presenting a series of methods that (1) assess …

Recommendations To Improve Curriculum Alignment In Core Leadership Courses At A Military Academy In The Midwest, Gloria L. Kuzmicki

Doctoral Dissertations and Projects

The purpose of this applied study was to provide recommendations to improve curriculum alignment in core leadership courses at a military academy located in the Midwest. The problem was that the core leadership courses had undergone significant format, instructor, and course director changes over the past few years, and this perceivably affected the alignment of curriculum across these courses. The rationale for this study was that it is critical to improve alignment within and across the core leadership courses to enhance the ability to meet the organizational mission and better prepare the students for their future role as military officers. …

Public Health Instructors' Attitudes Regarding Online Instructional Course Design: A Collective Case Study, Meaghan A. Gargin

Doctoral Dissertations and Projects

The purpose of this collective case study was to describe instructors’ attitudes regarding Keller’s personalized system of instruction (PSI) for a sample of online master’s-level public health instructors at an institution of higher education. The central research question was how do public health instructors describe their attitudes regarding personalized system of instruction and online graduate education? The institution selected for this investigation was “University A.” The theory guiding this study was Keller’s personalized system of instruction (PSI), as it features five elements for student-centered course design in higher education learning. The elements include: (a) self-pacing, (b) unit mastery, (c) lectures …

A Literary Survey On The U.S. Airline Maintenance Outsourcing: Technology, Economics, And Politics Perspectives, Linfeng Jin, Chien-Ting Lu

Publications

This study examines the U.S. airline maintenance outsourcing- a common business phenomenon in the post-1978 deregulated airline industry. Over the years, there have been several fatal accidents in the U.S. linked to airline maintenance outsourcing, and it has caught the attention of the government and general public. This paper went over the complex airline maintenance outsourcing factors from technology, economics, and political tripartite perspectives. And suggestions for the airlines, the regulators and the legislators are made in the end

August 24, 2023, James Madison University

The Breeze, 2020-

The Breeze is the student newspaper of James Madison University in Harrisonburg, Virginia.

Toward An Interoperable And Scalable Iot-Driven Smart City Solution Using Blockchain, Nada Abdulaziz A Alasbali

Student Works (2020-2029)

A smart city is primarily an urban region that makes effective use of contemporary technology to manage its resources, assets, and services. Internet of Things (IoT) devices and sensors are installed throughout the smart city in order to facilitate remote monitoring and data collection in relation to a variety of key infrastructures. The data is then utilised to plan the necessary maintenance tasks to ensure that citizens receive high-quality services. Even though IoT devices make it possible to collect data in real-time in a smart city, most sensors and IoT devices do not have a lot of storage space or …

Machine Learning-Based Classification Of Chronic Traumatic Brain Injury Using Hybrid Diffusion Imaging, Jennifer Muller, Ruixuan Wang, Devon Middleton, Mahdi Alizadeh, Kichang Kang, Ryan Hryczyk, George Zabrecky, Chloe Hriso, Emily Navarreto, Nancy Wintering, Anthony J. Bazzan, Chengyuan Wu, Daniel A. Monti, Xun Jiao, Qianhong Wu, Andrew B. Newberg, Feroze Mohamed

Marcus Institute of Integrative Health Faculty Papers

BACKGROUND AND PURPOSE: Traumatic brain injury (TBI) can cause progressive neuropathology that leads to chronic impairments, creating a need for biomarkers to detect and monitor this condition to improve outcomes. This study aimed to analyze the ability of data-driven analysis of diffusion tensor imaging (DTI) and neurite orientation dispersion imaging (NODDI) to develop biomarkers to infer symptom severity and determine whether they outperform conventional T1-weighted imaging.

MATERIALS AND METHODS: A machine learning-based model was developed using a dataset of hybrid diffusion imaging of patients with chronic traumatic brain injury. We first extracted the useful features from the hybrid diffusion imaging …

The Fabrication Of Nearly Monodisperse Chiral And Achiral Plasmonic Nanostructures And Their Applications, Macayla J. Caso

LSU Doctoral Dissertations

An object is chiral when it holds no lines of symmetry. This quality naturally occurs in chemistry and biology. When an object is chiral it has a unique handedness and objects of opposite chirality are called enantiomers. The importance of handedness was brought to light in the 1960’s when a racemic mixture of thalidomide enantiomers was given to pregnant women. One enantiomer was able to treat morning sickness while the other caused severe birth defects. This case brought to light how enantiomers have unique properties from each other even though they are similar materials. With this knowledge chiral nanomaterials must …

Identifying The Serious Clinical Outcomes Of Adverse Reactions To Drugs By A Multi-Task Deep Learning Framework, Di Ai, Jianxin Wang

Faculty, Staff and Student Publications

Adverse Drug Reactions (ADRs) have a direct impact on human health. As continuous pharmacovigilance and drug monitoring prove to be costly and time-consuming, computational methods have emerged as promising alternatives. However, most existing computational methods primarily focus on predicting whether or not the drug is associated with an adverse reaction and do not consider the core issue of drug benefit-risk assessment-whether the treatment outcome is serious when adverse drug reactions occur. To this end, we categorize serious clinical outcomes caused by adverse reactions to drugs into seven distinct classes and present a deep learning framework, so-called GCAP, for predicting the …

Full Issue

Insights: The Newsletter of the Neal A. Maxwell Institute for Religious Scholarship

No abstract provided.

Lavish Photo Book Documents Lds Life

Insights: The Newsletter of the Neal A. Maxwell Institute for Religious Scholarship

Time Warner has just published a beautiful book of photographs that gives the world a glimpse into the lives and beliefs of Latter-day Saints. The Mission contains the work of fifty world-class photographers who traveled extensively around the world in the course of a year, documenting the people, history, culture, rituals, and beliefs of the global Church. It was produced with considerable cooperation from the Church and includes a preface written by President Gordon B. Hinckley. It is remarkably accurate for a work by outsiders and its tone is sympathetic to the beliefs and life-styles of members, reflecting no doubt …

Brown Bags Continue

Insights: The Newsletter of the Neal A. Maxwell Institute for Religious Scholarship

Rocks, radar, and writers--these have been the topics of the most recent presentations at the FARMS brown bag seminar at BYU. John L. Sorenson, professor emeritus of Anthropology at BYU, spoke about writers, or more accurately, about the authorship of the Book of Mormon. He pointed out that Joseph Smith apparently thought that the Book of Mormon applied to all of North and South America, yet the book fits only a limited Mesoamerican setting. If Joseph had made up the setting or used what he knew about the world, it would not have matched so well a part of the …

Review Continues Picks And Pans, Larry K. Smith

Insights: The Newsletter of the Neal A. Maxwell Institute for Religious Scholarship

The most highly recommended item in the latest Review of Books on the Book of Mormon (volume 7, number 2) is not a single book but a resource library of books on CD-ROM, the LDS Collectors Edition from Infobases. Editor Daniel Peterson gives it three stars (out of a possible four stars) for its usefulness to the student of the scriptures, and reviewer Larry K. Smith calls it a "quantum leap forward" for study and research on the scriptures and related topics because it brings together such a large quantity of good books at such a low price (less than …

Elder L. Tom Perry Examines The Personalities Involved In The Translation Of The Book Of Mormon And In The Restoration Of The Church

Insights: The Newsletter of the Neal A. Maxwell Institute for Religious Scholarship

In his address to the friends and supporters of FARMS at the Foundation's 1995 annual banquet, Elder L. Tom Perry of the Quorum of the Twelve expressed his interest in the human chemistry found in organizations and examined the early history of the Church from this perspective. He spoke of the challenges that Joseph Smith faced as a young husband with a skeptical father-in-law who thought Joseph should be doing something more productive than sitting around the house translating golden plates. He reflected on the challenges that Martin Harris faced in helping to finance the work on the Book of …

“A Dance-Like Glory That Those Walls Begot”: Yeats, Coole Park And The “Spacious Forms” Of Inspiration, James Pethica

International Yeats Studies

No abstract provided.

Retracted: Fabrication And Characterization Of Wood Fiber Reinforced Polymer Composites, Firoz Ahmed, Omar Faroque, Saif Hasan, Khan Rajib Hossain, Rezaul Karim Sheikh

Al-Bahir

Wood-polymer composites (WPCs) combine the properties of wood and polymers. Creating composites involves adding plant or wood fibers as fillers to a polymer matrix. This study used mahogany and mango wood sawdust as reinforcement materials, while high-density polyethylene (HDPE) and polyvinyl chloride (PVC) were used as matrices. The investigated data in this study comprises four different (10, 20, 30, and 40) weight percentages (wt%) of mahogany and mango sawdust paired with corresponding wt% (90, 80, 70, and60) of HDPE and PVC matrices. The extrusion method produced composites with different amounts of sawdust and polymer matrices. Wood polymer composites were characterized …

Hypertrophy As Nato’S Masculinity: Out-Of-Area Operations And Enlargements In The Post-Cold War Context, Carlos González-Villa, Branislav Radeljić

Journal of International Women's Studies

The Russian intervention in Ukraine in February 2022 has served as a catalyst or actualizer of a long-standing trend in NATO: that of justifying its existence by its geographical expansion. This is both in organic terms, through the incorporation of new states into its structure, and in operational terms, through the execution of so-called out-of-area operations, and the intensification of its rivalry with Russia. This dynamic, which has been firmly established since the mid-1990s, has been overridden by the growing contradictions between the interests of its members, the successive changes in US administrations, and the transformation of the international system, …

Peripheral And Gender Perspectives: The Russia-Ukraine War And Africa’S Response And Impact, Osman Antwi-Boateng, Mohammed Huwaishel Al Nuaimi

Journal of International Women's Studies

Following Russia’s invasion of Ukraine, most African countries avoided open alignment with either Russia or Ukraine, favoring a wait-and-see approach until the situation’s consequences for African households, energy security, and the agricultural sector became more evident. Using the nexus between world systems and dependency theories as an analytical tool, this study examines how African governments have responded to the Russian invasion of Ukraine and how the continent has been affected by the war. This examination is accomplished via a qualitative analysis of primary data such as reports issued by independent international organizations, think tanks, and media houses. Furthermore, the analysis …

Women In The War: A Gendered Analysis Of Media Coverage Of The Russian-Ukraine War, Ayo Oyeleye, Shujun Jiang

Journal of International Women's Studies

In recent years several commentators have observed the trend of mainstream media ignoring and distorting women’s perspectives and experiences in armed conflicts. Both in the reporting and the wider discourse about conflicts, women tend to be cast less as political actors and more as helpless victims, often paired with children in accounts of war incidents. Carolina Marques de Mesquita (2016), in her study of media coverage of recent wars and conflicts, observed that while major media outlets tend to represent the scale of violence in a conflict through the harm and death inflicted on women, they are otherwise often neglected. …

The Russia-Ukraine War: Geopolitical And Gendered Impact On The Greater Middle East, Muhamad S. Olimat

Journal of International Women's Studies

The Greater Middle Eastern Region is composed of the Levant, the Arab Gulf Region, North Africa, and Central Asia. It represents a geopolitical region and cultural civilization that is at the heart of global affairs. Its geostrategic location made it vulnerable throughout history to political, security, economic, and cultural developments. The region is heavily influenced by the current war in Ukraine, and the aim of this article is to explore its consequences in terms of political implications, security, economic and energy considerations, and socio-cultural impact, with a special attention to the gendered impacts of the war on the region.

Special Issue Introduction: The Impact Of The Russia-Ukraine War On Global And Gender Affairs, Muhamad S. Olimat, Osman Antwi-Boateng, Narayanappa Janardhan

Journal of International Women's Studies

No abstract provided.

Evaluation Of Reliability Indices For Gas Turbines Based On The Johnson Sb Distribution: Towards Practical Development, Elbar Mohamed, Djeddi Ahmed Zohair, Ahmed Hafaifa, Charrak Naas, Abdelhamid Iratni, Ilhami Colak

Emirates Journal for Engineering Research

Recent advancements in computer engineering have provided effective solutions for processing and analyzing complex systems and big data. Consequently, the adjustment and standardization of this data play a crucial role in addressing issues related to the monitoring of industrial systems. In this study, we propose a reliability approach for gas turbines to identify and characterize their degradation using operational data. We introduce a method for adjusting turbine reliability data, which resolves the challenges associated with the nature of these operating data. This enables us to determine a mathematical function that models the relationships between turbine reliability parameters and evaluate the …

Machine Learning For Low Signal-To-Noise Ratio Detection, Fred Lacy, Angel Ruiz-Reyes, Anthony Brescia

Faculty Publications

Sensor networks collect data that is often contaminated by noise. Therefore, it is often necessary to analyze sensor data to determine if a signal is present. This research project utilizes a machine learning algorithm that is able to detect a signal in the presence of noise. The algorithm incorporates the long short-term memory (LSTM) method to determine the presence or absence of a signal in the midst of white Gaussian noise. This machine learning approach was tested with computer generated data and has an accuracy of at least 98% for signal-to-noise levels greater than -12 dB. Furthermore, this algorithm can …

Spartan Daily, August 23, 2023, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2023

Volume 161, Issue 02

Researchers Identify Unusually Large Bloom Of Brown Algae In Gulf Of Maine, Robbin Ray

Media Relations

No abstract provided.