Digital Commons Network^™

Proknow: Process Knowledge For Safety Constrained And Explainable Question Generation For Mental Health Diagnostic Assistance In The Age Of Large Language Models, Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Allen, Amit P. Sheth

Publications

Current Virtual Mental Health Assistants (VMHAs) primarily offer counseling and suggestive care but do not assist with patient diagnosis due to their lack of training in safety-constrained and specialized clinical process knowledge, referred to as ProKnow. In this work, we define ProKnow as an ordered set of information aligned with evidence-based guidelines or categories of conceptual understanding used by domain experts. We also introduce a new dataset of diagnostic conversations guided by safety constraints and Pro- Know, known as ProKnow-data. We develop a method for natural language question generation (NLG) designed to interactively gather diagnostic information from patients, termed ProKnow-algo. …

Electrostatic Sorting Of Lunar Regolith Simulants For Sustainable Resource Utilization: Modeling And Characterization Of Particle Size Distribution, Abdullah Al Moinee, Peter Bachle, Kyle Newport, William Schonberg, David Bayless, Jeffrey Smith, Daoru Han, Fateme Rezaei

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

In pursuit of sustainable resource utilization on the Moon, this paper delves into modeling and characterization of particle size distribution (PSD) of lunar regolith simulants in an electrostatic system. A prototype electrostatic sieve was built and tested with four sample simulants mirroring properties of lunar mare and highland regolith. An alternating four-phase (90 degrees, 180 degrees, 270 degrees, 360 degrees) traveling square-wave was utilized for particle-directed transport to model the diverse trajectories of the particles. Numerically, we scrutinized how the distribution functions of the particles are manifested as the electrostatic field propagates, with a focus on three distinct particle ranges …

Season Influences Interspecific Responses Of Canopy-Forming Kelps To Future Warming And Acidification At High Latitude, Lauren E. Bell, Lily Westphal, Evan O' Brien, Jason A. Toy, Haleigh Damron, Kristy J. Kroeker

Biological Sciences Faculty Publications

Variability in primary producers' responses to environmental change may buffer higher trophic levels against shifts in basal resource composition. Then again, in instances where there is a lack of functional redundancy because consumers rely on a few species to meet their energetic requirements at specific times of the year, altered community production dynamics may significantly impact food web resilience. In high-latitude kelp forests, a complementary annual phenology of seaweed production supports coastal marine consumers' metabolic needs across large seasonal variations in their environment. Yet, marine consumers in these systems may face significant metabolic stress under the pronounced low pH conditions …

Targeting Ocean Conservation Outcomes Through Threat Reduction, Joseph A. Turner, Malcolm Starkey, Nicholas K. Dulvy, Frank Hawkins, Louise Mair, Adeline Serckx, Thomas Brooks, Beth Polidoro, Stuart H. M. Butchart, Kent Carpenter, Minna Epps, Rima W. Jabado, Nicholas B. W. Macfarlane, Leon Bennun

Biological Sciences Faculty Publications

Nations have committed to reductions in the global rate of species extinctions through the Sustainable Development Goals 14 and 15, for ocean and terrestrial species, respectively. Biodiversity loss is worsening despite rapid growth in the number and extent of protected areas, both at sea and on land. Resolving this requires targeting the locations and actions that will deliver positive conservation outcomes for biodiversity. The Species Threat Abatement and Restoration (STAR) metric, developed by a consortium of experts, quantifies the contributions that abating threats and restoring habitats in specific places offer towards reducing extinction risk based on the IUCN Red List …

Effect Of Silicon Nano Particles Added To The Polymeric Coatings, Ramesh Chandra Tripathi

Master's Theses and Doctoral Dissertations

The purpose of this research was to compare mechanical and tribological properties of a coatingto the same coating with added nano silica. The sample coating for this project was bis-ureasil which was synthesized using 1:1 equivalent ratio of bis (3-trimethoxysilyl-propyl) amine (BTMSPA) (318.0g) and IPDI (52.0g) in 400g of anhydrous THF. The other coating was prepared by adding 10% nano silica particles. A scanning probe microscope was used to study the surface morphology of the coating samples, a Raman microscope was used to study the silicon concentration on and underneath the surface of the coating, and nano-indentation was used to …

Deconstructing The Mangrove Carbon Cycle: Gains, Transformation, And Losses, M. F. Adame, N. Cormier, P. Taillardat, N. Iram, A. Rovai, T. M. Sloey, E. S. Yando, J. F. Blanco-Libreros, M. Arnaud, T. Jennerjahn, C. E. Lovelock, D. Friess, G. M. S. Reithmaier, C. A. Buelow, S. M. Muhammad-Nor, R. R. Twilley, R. A. Ribeiro

Biological Sciences Faculty Publications

Mangroves are one of the most carbon-dense forests on the Earth and have been highlighted as key ecosystems for climate change mitigation and adaptation. Hundreds of studies have investigated how mangroves fix, transform, store, and export carbon. Here, we review and synthesize the previously known and emerging carbon pathways in mangroves, including gains (woody biomass accumulation, deadwood accumulation, soil carbon sequestration, root and litterfall production), transformations (food web transfer through herbivory, decomposition), and losses (respiration as CO₂ and CH₄, litterfall export, particulate and dissolved carbon export). We then review the technologies available to measure carbon fluxes in …

Wild Sun Bears (Helarctos Malayanus) Exhibit Aseasonality In Parturition, Zachary A. David, Brian Crudge, Matt Hunt, Kirsty Officer, Vuthy Choun, Barbara Durrant, Megan A. Owen, Morokot Long, John P. Whiteman

Biological Sciences Faculty Publications

Seasonal reproduction can provide species with fitness advantages by allowing the birth of young to coincide with favorable environmental conditions, particularly in environments with high seasonal and intra-annual variation in these conditions. Seven of the eight species in the bear family (Ursidae) reproduce seasonally in both managed care and the wild; however, data for the eighth species, the sun bear (Helarctos malayanus), is unclear. Sun bears have been observed to reproduce throughout the year in managed care, yet currently there are no clear data of birth timing for wild sun bear cubs. Here we investigate the seasonality of …

Automatic Modeling Of Cyber Intrusions Using The Diamond Model Utilizing Security Logs And Events, Mahmoud Al-Maani

Master's Theses and Doctoral Dissertations

Current intrusion analysis models suffer from unreliability and inaccuracy due to their reliance on outdated and inadequate data sources. Numerous models focus on a particular type of data, leading to potential modeling faults in intrusion analysis models' recommendations. The objective of this thesis is to build a modernized model by integrating the diamond model with security information and event management systems. This thesis presents a detailed cyber intrusion analysis model; in which Elasticsearch is being used to collect and analyze logs about cyber attacks and extract major indicators of compromise then finally map them to the diamond model. The results …

Ai And Ml-Based Risk Assessment Of Chemicals: Predicting Carcinogenic Risk From Chemical-Induced Genomic Instability, Ajay Vikram Singh, Preeti Bhardwaj, Peter Laux, Prachi Pradeep, Madleen Busse, Andreas Luch, Akihiko Hirose, Christopher J. Osgood, Michael W. Stacey

Biological Sciences Faculty Publications

Chemical risk assessment plays a pivotal role in safeguarding public health and environmental safety by evaluating the potential hazards and risks associated with chemical exposures. In recent years, the convergence of artificial intelligence (AI), machine learning (ML), and omics technologies has revolutionized the field of chemical risk assessment, offering new insights into toxicity mechanisms, predictive modeling, and risk management strategies. This perspective review explores the synergistic potential of AI/ML and omics in deciphering clastogen-induced genomic instability for carcinogenic risk prediction. We provide an overview of key findings, challenges, and opportunities in integrating AI/ML and omics technologies for chemical risk assessment, …

Natural Enemies Of Varroa Destructor Identified From Eastern North America Honey Bee Colonies: A Biological Survey Of Candidates For Mite Control From Maryland, Usa, Francisco Posada-Flórez, Daniel Sonenshine, Jay Evans, Dawn Boncristiani, Monica Pava-Ripoll, Steven Cook

Biological Sciences Faculty Publications

A survey was conducted of microbes and arthropods associated with Varroa destructor (Acari: Varroidae) mites (hereafter, Varroa) collected from honey bee colonies in Maryland, USA. Live Varroa were challenged with samples of both microbes and arthropods and assessed for their potential as biocontrol agents against the mites. To our knowledge, this is the first survey of natural enemies of Varroa conducted in North American honey bee colonies. The survey revealed 21 fungi, 25 bacteria, one nematode, and 8 arthropod species associated with Varroa in honey bee colonies, and from challenge assays using 11 of these, including 4 species of …

Family Context And Executive Functioning In Preschool-Age Children, Kristin Aho

Master's Theses and Doctoral Dissertations

Executive functioning is predictive of school readiness, successful life endeavors, and other positive outcomes. The literature frequently explores how child executive functions are associated with characteristics of mother-child interactions as well as adverse environmental conditions such as poverty and chronic stress. Fewer studies, however, have taken a more nuanced approach to understanding how features of the immediate environment, such as family context, help or hinder the development of executive functions in young children. To address this gap, the current study explored how aspects of family context are associated with executive performance in a sample of preschool-age children. Specifically, the study …

Abalones At Risk: A Global Red List Assessment Of Haliotis In A Changing Climate, Howard Peters, Gina M. Ralph, Laura Rogers-Bennett

Biological Sciences Faculty Publications

There is increasing awareness that marine invertebrates such as abalones are at risk from the combined stressors of fishing and climate change. Abalones are an important marine fishery resource and of cultural importance to Indigenous and non-Indigenous people. A highly priced marine delicacy, they are inherently vulnerable: individuals are slow-growing and long-lived and successful reproduction requires dense assemblages. However, their global conservation status is poorly understood. Using IUCN Red List methodology, we assessed the extinction risk to all 54 species of abalone (genus Haliotis). Of the 21 fished commercially for human consumption either now and/or in the past, 15 …

State Of Coastal And Marine Resources: Sablayan, Occidental Mindoro, Ma Celina J. Añonuevo, Jemelyn Grace P. Baldisimo, Denmark B. Racamara, Mary Joyce P. Velos, Joseph Benedict T. Garcia, Frederico B. Sabban, Joey P. Cabasan, Rhea Mae Luciano, Darryl Anthony Valiño, Lovely Joy Heyres, Hazel O. Arceo

Biological Sciences Faculty Publications

[Introduction] Sablayan, situated on the western side of Mindoro Island facing the WPS (12.8564° N, 120.9101° E), is a first-class municipality in the province of Occidental Mindoro with a total land area of 2,188.8km² that is divided into 22 barangays, nine of which are along the coast. The coastline stretches for 115 km, with municipal waters covering approximately 750,000 km² (LGU-Sablayan 2008).

The Apo Reef Natural Park, one of its most prominent features, is located approximately 33 km off the coast (Figure 2.9-1) The Apo Reef Natural Park is a protected coral reef system under presidential proclamation 868 (1996) encompassing …

State Of Coastal And Marine Resources: Lian, Batangas, Joseph Benedict T. Garcia, Mary Joyce P. Velos, Jemelyn Grace P. Baldisimo, Joey P. Cabasan, Ma Celina J. Añonuevo, Denmark B. Recamara, Hazel O. Arceo

Biological Sciences Faculty Publications

[Introduction] Lian (13.9852° N, 120.6545° E) is a third-class municipality in the northwestern part of the province of Batangas. It is bounded on the north by the municipality of Nasugbu, on the east by the municipalities of Tuy and Balayan, on the west by the WPS, and on the south by the municipality of Catatagan (Figure 2.7-1). It has a total land area of 76.80km² that is divided into 19 barangays, six of which are coastal and two are integrated coastal barangays (LGU-Lian 2013). Its total population is 56,280 individuals in 15,991 households as of 2020 (PSA 2020).

The main …

Taxonomic Status, Distribution And Conservation Of The Critically Endangered Plant Psychotria Angustata (Rubiaceae), Walter Simbaña, Alan Tye, Timothy J. Motley, Uno Eliasson

Biological Sciences Faculty Publications

Simbaña, W.; A. Tye, T. J. Motley & U. Eliasson. 2024. Taxonomic status, distribution and conservation of the Critically Endangered plant Psychotria angustata (Rubiaceae), endemic to Floreana Island, Galapagos. Darwiniana, nueva serie 12(2): 204-219.

Two species of Psychotria have been recognised in the Galapagos Islands, both understorey shrubs endemic to the archipelago: P. rufipes Hook.f. occurs on seven islands, including Floreana, while P. angustata Andersson is endemic to Floreana. Since their mid-19th century discovery, the taxonomic and ecological status of these species has been uncertain. To clarify this, we examined historical specimens and numerous recent collections of both species, and …

Effect Of Concrete Mix Design Factors On Static Yield Stress Changes Due To Vibration, Ahmed Abd El Fattah, Dimitri Feys, Kyle Riding, Syed Imran

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Digital fabrication of concrete structures has gained substantial research traction over the last decade, enabling efficient material use and adding more architectural freedom. Current research focuses on chemical and mineral admixtures, as well as manipulating the cement hydration reaction to control the yield stress evolution with time in the cement paste. Instead of providing yield stress through the concrete fluid properties, a high yield stress can be provided by interparticle friction from the use of high aggregate volumes and large nominal maximum aggregate size, with flow enhanced for material extrusion by vibration. Granular physics was applied to concrete mixture design …

A Fuzzy Model And Decision-Support Tool For Assessing And Predicting The Probability Of Bankruptcy Of Construction Companies, Rayan H. Assaad, Ghiwa Assaf, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Construction firms face considerable risks that might lead to business bankruptcy. Failed construction companies leave behind unfinished projects, which leads to huge losses to project owners. While previous studies were conducted to understand the factors that contribute to the bankruptcy of construction organizations, little to no research was performed to quantitatively assess the risk of construction business bankruptcy. Hence, this paper addresses this knowledge gap by developing a fuzzy model for predicting the probability of business bankruptcy of construction companies. First, the following six failure warning signs were considered: financial management system, borrowed credit, estimating and job-cost reporting, project management, …

Natural Language Processing And Neurosymbolic Ai: The Role Of Neural Networks With Knowledge-Guided Symbolic Approaches, Emily Barnes, James Hutson

Faculty Scholarship

Neurosymbolic AI (NeSy AI) represents a groundbreaking approach in the realm of Natural Language Processing (NLP), merging the pattern recognition of neural networks with the structured reasoning of symbolic AI to address the complexities of human language. This study investigates the effectiveness of neurosymbolic AI in providing nuanced understanding and contextually relevant responses, driven by the need to overcome the limitations of existing models in handling complex linguistic tasks and abstract reasoning. Employing a hybrid methodology that combines multimodal contextual modeling with rule-governed inferences and memory activations, the research delves into specific applications like Named Entity Recognition (NER), where architectures …

Impact Of Aging On Pim And Dc Resistance Of Fabric-Over-Foam Metallic Contacts, Kalkidan W. Anjajo, Seunghun Ryu, Shengxuan Xia, Gracie Boyer, Yuchu He, Haicheng Zhou, Hanfeng Wang, Jonghyun Park, Chulsoon Hwang

Mechanical and Aerospace Engineering Faculty Research & Creative Works

In this paper the impact of aging on the level of passive intermodulation (PIM) and DC resistance of fabric-over-foam metallic contacts is presented. These contacts are widely used to maintain metallic connections between modules and chassis in electronic devices. The PIM caused by the loose metallic contact of these materials mainly affects a receiver's RF sensitivity in mobile devices. This aging test under elevated temperature and relative humidity conditions offers an experiment-based approach with respect to various metallic contact cases. Energy dispersive spectroscopy and scanning electron microscopy are used to characterize the change in material composition and the contact surface …

Effect Of Bioactive Borate Glass On Printability And Physical Properties Of Hydrogels, Fateme Fayyazbakhsh, Mehedi H. Tusar, Yue-Wern Huang, Ming C. Leu

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Hydrogels are a key component in bioinks and biomaterial inks for bioprinting due to their biocompatibility and printability at room temperature. The research described in the present paper contributes to the advancement of bioprinting by studying the effect of bioactive borate glass (BBG) incorporated into hydrogels on printability and physical properties. In this study, we fabricated 3D-printed hydrogel scaffolds using gelatin and alginate hydrogel mixture incorporated with various amounts of BBG, a bio ceramic rich in therapeutic ions including boron, calcium, copper, and zinc. We investigated the effect of incorporating BBG on the density, viscosity, physical interactions, chemical structure, and …

An Evaluation Of Methods For Assessing Robot Kinematic Model Accuracy In The Presence Of Noise, Mitchell R. Woodside, Patrick Bazzoli, Philip A. Olubodun, J. Adam Nisbett, Guixiu Qiao, Douglas A. Bristow

Mechanical and Aerospace Engineering Faculty Research & Creative Works

While there are many works developing methods for modeling and calibrating robot kinematics, assessing the accuracy of those models has received little attention. However, accuracy assessment is critically important for applications where the robot must operate with absolute accuracy over a large region of workspace, such as in robotic machining. When the model of such a system is well calibrated, the remaining deterministic error can be quite complex, owing to complicated gearing errors, deformations, and quasi-static thermal changes. Locating the largest deterministic error requires an exploration over the workspace, but assessing the largest error is complicated by repeatability error and …

Hyper-Thick Electrodes For Lithium-Ion Batteries Enabled By Micro-Electric-Field Process, Tazdik Patwary Plateau, Gracie Boyer, Jonghyun Park

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Increasing electrode thickness is a key strategy to boost energy density in lithium-ion batteries (LIBs), which is essential for electric vehicles and energy storage applications. However, thick electrodes face significant challenges, including poor ion transport, long diffusion paths, and mechanical instability, all of which degrade battery performance. to overcome these barriers, a novel micro-electric-field (μ-EF) process is introduced that enhances particle alignment during fabrication with reduced distance between anode and cathode. This process produces hyper-thick (≈700 µm) electrodes with low tortuosity and improved ion diffusion. the μ-EF electrodes achieve high areal capacities (≈8 mAh cm−2), while maintaining power density and …

Effectively Communicating Uncertainty In Tropical Cyclone Intensity Forecasts, Robert W. Eicher

Graduate Thesis and Dissertation post-2024

This body of research investigated methods for effectively communicating the inherent, technical uncertainty in tropical cyclone intensity forecasts through three separate studies. The first investigation uses Hurricane Laura as a case study. Laura rapidly intensified before making landfall in Cameron, Louisiana, catching some residents off guard. The study demonstrates how publics could be more effectively alerted to future hurricane worst-case scenarios using best practices recommended by the risk communication literature. The second study is an experiment that examines the effectiveness of adding numerical probability information to hurricane forecasts. Prior research suggests that using numeric probability information along with words and …

Lithium Niobate Piezoelectric Transformers For Compact Electronics And Atmospheric Plasma Generation, Justin R. Phelps

Graduate Thesis and Dissertation post-2024

This work presents piezoelectric transformers for compact electronics and atmospheric plasma generation, utilizing thin-film microelectromechanical systems (MEMS) and bulk machined suspended transformers based on 128˚ Y-cut lithium niobate. As electronic devices continue to miniaturize, scaling down magnetic components remains a challenge due to difficulties in generating and confining sufficiently large magnetic fields. The most common configurations exhibit efficiencies of approximately 70% and can cause interference in surrounding electronics. In this work, thin-film flexural mode piezoelectric transformers are developed for on-chip, low frequency passive voltage gain and impedance transformation. These devices exhibit efficiencies as high as 95% and voltage gain above …

Nonlinear Dynamical Characteristics Of Electroencephalogram Signatures In Patients With Multiple Sclerosis, Christopher I. Hernandez

Graduate Thesis and Dissertation post-2024

The application of nonlinear analysis in studying electroencephalography (EEG) signals has been increasingly applied to patients with neurological disorders, such as multiple sclerosis (MS). Various nonlinear analysis methods have been employed to investigate MS, offering unique insights into understanding, diagnosing, and treating the condition. This study utilized two nonlinear analyses, sample entropy (SampEn) and Higuchi’s fractal dimension (HFD), to explore the effects of Interferon-β (IFN-β) and dimethyl fumarate (DMF) on patients with MS. Data were collected from 175 participants at Jagiellonian University in Krakow, Poland, across three groups: IFN-β (n = 39), DMF (n = 53), and healthy controls (n …

Agile Healthcare: The Effects Of Information Technology Ambidexterity And Human Resource Practices On Workforce Agility And Job Performance, Jorge Flavio Sarmiento Falla

Graduate Thesis and Dissertation post-2024

Healthcare organizations grapple with uncertainties and rapid changes, necessitating agility within their workforce. However, empirical studies on healthcare agility are notably scarce, impeding efforts to foster an agile workforce. Through a systematic literature review, human-related dimensions and information technology aspects were found to be relevant to healthcare agility. This study addresses the impact of Information Technology Ambidexterity (ITA) and Human Resource Practices (HRP) on establishing Workforce Agility (WA). Subsequently, the study also addresses the importance of WA for the job performance of healthcare professionals. Lastly, it evaluates the mediation effect of WA on the impact of both ITA and HRP …

School Experiences Of Young Adults Since The Passing Of "Don't Say Gay", Heather M. Summers

Graduate Thesis and Dissertation post-2024

As of 2020, the US is home to an estimated over nine percent of youth 13-17 who identify as LGBTQ+ (Conron, 2020). There are hundreds of bills that have been passed into laws that restrict rights for LGBTQ+ individuals (Union, Mapping attacks on LGBTQ rights in US state legislatures in 2024, 2024). With risk factors specific to youth and with legislation altering the operation of schools, there is concern regarding the effect of such laws on students (Day, 2019). This dissertation provides an overview of how LGBTQ+ youth in schools have experienced the implementation of laws that emerged between 2022 …

Elucidating The Effects Of Cations And Electrode Wettability On Electrocatalysis, Kaige Shi

Graduate Thesis and Dissertation post-2024

Electrocatalysis plays a key role in the development of energy conversion technologies including fuel cells and electrolyzers, enabling a sustainable production of chemicals and fuels when powered by renewable electricity. Beyond the electrocatalytic materials, the local environment around catalytic sites, including liquid electrolyte and gaseous reactant/product, has a significant impact on gas-involving reactions such as CO₂ reduction and hydrogen evolution. This dissertation focuses on understanding the effects of electrolyte cations and electrode wettability on the reaction kinetics and bubble dynamics of electrocatalytic reactions. First, I studied the effect of non-metal cations including ammonium and alkylammonium on CO₂ reduction …

Emergence Of Preferential Flow Paths And Intermittent Dynamics In Emulsion Transport In Porous Media, Michael Izaguirre

Theses

This dissertation aims to study the underlying physics of anomalous transport of emulsions in porous media and quantify the role of droplet-pore and droplet-droplet interactions in transport in porous media experimentally. The complexities of this problem arise from the network heterogeneity, correlations between the pores across the medium, interfacial properties of the fluids, and the correlations between the pore scale dynamics and system-level transport. This dissertation presents significant advancements in the study of emulsion dynamics within two-dimensional porous media through the development of innovative image analysis and tracking methods. These advancements include precise detection and tracking of deformable objects, which …

Disability Reduction Following A Lumbar Stabilization Exercise Program For Low Back Pain: Large Vs. Small Improvement Subgroup Analyses Of Physical And Psychological Variables, Christian Larivière, Richard Preuss, Marie-France Coutu, Michael J. Sullivan, Nicolas Roy, Sharon M. Henry

Études primaires

Background: Little is known about why patients with low back pain (LBP) respond differently to treatment, and more specifically, to a lumbar stabilization exercise program. As a first step toward answering this question, the present study evaluates how subgroups of patients who demonstrate large and small clinical improvements differ in terms of physical and psychological changes during treatment. Methods: Participants (n = 110) performed the exercise program (clinical sessions and home exercises) over eight weeks, with 100 retained at six-month follow-up. Physical measures (lumbar segmental instability, motor control impairments, range of motion, trunk muscle endurance and physical performance tests) were …