Physical Sciences and Mathematics Commons^™

Disasters And Bipoc Communities: The Imperativeness Of Sustainability, Hadih Deedat, Frida Navarro, Donna Phillip

Sustainability Research & Practice Seminar Presentations

No abstract provided.

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A Study Of The Mammalian High Mobility Group Protein At-Hook 2 (Hmga2) And Its Interactions With Dna, Linjia Su

FIU Electronic Theses and Dissertations

The mammalian high-mobility-group protein AT-hook 2 (HMGA2) is a small DNA-binding protein and consists of three positively charged “AT-hooks” and a negatively charged C-terminal motif. It is a multifunctional nuclear protein linked to obesity, human height, stem cell youth, human intelligence, and tumorigenesis. Previous results showed that HMGA2 is a potential therapeutic target of anticancer and anti‐obesity drugs through inhibiting its DNA‐binding activities. Here a miniaturized, automated AlphaScreen ultra‐high‐throughput screening assay is developed to identify inhibitors targeting HMGA2‐DNA interactions. After screening the LOPAC1280 library, several compounds are identified that strongly inhibit HMGA2‐DNA interactions including suramin, a negatively charged antiparasitic drug. …

Professional Responsibility, Legal Malpractice, Cybersecurity, And Cyber-Insurance In The Covid-19 Era, Ethan S. Burger

St. Mary's Journal on Legal Malpractice & Ethics

In response to the COVID-19 outbreak, law firms conformed their activities to the Centers for Disease Control and Prevention (CDC), Occupational Safety and Health Administration (OSHA), and state health authority guidelines by immediately reducing the size of gatherings, encouraging social distancing, and mandating the use of protective gear. These changes necessitated the expansion of law firm remote operations, made possible by the increased adoption of technological tools to coordinate workflow and administrative tasks, communicate with clients, and engage with judicial and governmental bodies.

Law firms’ increased use of these technological tools for carrying out legal and administrative activities has implications …

Combined Geochemical, Mineralogical, And Structural Investigation Of Auriferous Quartz Veins At The Vertigo Target, White Gold District, West-Central Yukon Territory, Canada, James C M Alexander

Electronic Thesis and Dissertation Repository

The Vertigo target on the southwestern JP Ross property is a gold-mineralized showing ~70 km south of Dawson City in the White Gold district, west-central Yukon Territory, Canada. Favourable gold-mineralized zones occur with pathfinder elements As-Ag-Te-Pb-Bi. This study uses digital borehole logging, petrography, electron probe microanalysis, and micro-x-ray fluorescence to evaluate the spatial, geochemical, and mineralogical distribution of Au mineralization at the Vertigo target. Petrographic and structural interpretations are contextualized with synchrotron radiation x-ray diffraction on 120 drill sample pulps. The clustering of diffraction patterns has revealed characteristic signatures of Au-mineralization with structural geometries coincident with the mineralogical clusters. The …

Non-Circular Hydraulic Jumps Due To Inclined Jets, Ahmed Mohamed Abdelaziz

Electronic Thesis and Dissertation Repository

When a laminar inclined circular jet impinges on a horizontal surface, it forms a non-circular hydraulic jump governed by a non-axisymmetric flow. In this thesis, we use the boundary-layer and thin-film approaches in the three dimensions to theoretically analyse such flow and the hydraulic jumps produced in such cases. We particularly explore the interplay among inertia, gravity, and the effective inclination angle on the non-axisymmetric flow.

The boundary-layer height is found to show an azimuthal dependence at strong gravity level only; however, the thin film thickness as well as the hydraulic jump profile showed a strong non-axisymmetric behaviour at all …

Nitrogen Concentration In Cell Wall Of Warm-Season Perennial Grasses, G. F. C. Lima, Lynn E. Sollenberger, J. E. Moore

IGC Proceedings (1993-2023)

The objectives of this experiment were to evaluate the influence of N fertilizer, age of regrowth, and season on concentration of N in cell-wall fractions of three warm-season perennial grasses (limpograss, [Hemarthria altissima (Poir.) Stapf et C.E. Hubb.], bermudagrass [Cynodon spp.], and bahiagrass [Paspalum notatum Flügge]. The herbage neutral detergent insoluble nitrogen (NDIN) fraction composed almost half of total N in these grasses. Though acid detergent insoluble nitrogen (ADIN) concentrations generally were 80 g kg^-1 of total N or less, this fraction is indigestible and unavailable and composes a significant portion of a nutrient that may …

Nitrogen Fertiliser Effects On Perennial Ryegrass Nutritive And Nitrate Content During The Cool Season, Joseph L. Jacobs, Frank R. Mckenzie

IGC Proceedings (1993-2023)

A study was undertaken to determine the effects of differing levels of nitrogen (N) application (0 (N1), 25 (N2), 50 (N3) and 75 kgN/ha (N4)) during late autumn (T1), early (T2) and late winter (T3) on the nutritive characteristics and nitrate content of perennial ryegrass. Changes in crude protein (CP) for all treatments at each application time were similar irrespective of level of N application. At the commencement of all treatments, the existing CP content was highest in N3, followed by N2, N1 and N0. Nitrate content decreased throughout T1 primarily due to dry conditions, whilst during T2, levels for …

Biological Behaviour Of Murrah Water Buffaloes, P. B. Alcântara, D. A. Beisman, V. B. G. Alcântara, A. M. F. Pereira

IGC Proceedings (1993-2023)

Modest but constant and progressive is the importance that buffaloes are achieving at the scientific’s, producer’s and consumer’s societies. Feeding behaviour is a continuous act in animals. Motivation is a reversible process of the brain induced by external factors. So, consumption tends to be continuous until another stimulus such as satiation becomes dominant. The majority of large domestic animals is fed “ad libitum”. This originates different situations when they are over or underfed. That is the situation that makes the cyrcadian rithm an important tool to be used in order to achieve maximum gains in rangelands. For half a year, …

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No abstract provided.

Knowledge-Infused Abstractive Summarization Of Clinical Diagnostic Interviews: Framework Development Study, Gaur Manas, Vamsil Aribandi, Ugur Kursuncu, Amanuel Alambo, Valerie L. Shalin, Krishnaprasad Thirunarayan, Jonathan Beich, Meera Narasimhan, Amit P. Sheth

Faculty Publications

Background: In clinical diagnostic interviews, mental health professionals (MHPs) implement a care practice that involves asking open questions (eg, “What do you want from your life?” “What have you tried before to bring change in your life?”) while listening empathetically to patients. During these interviews, MHPs attempted to build a trusting human-centered relationship while collecting data necessary for professional medical and psychiatric care. Often, because of the social stigma of mental health disorders, patient discomfort in discussing their presenting problem may add additional complexities and nuances to the language they use, that is, hidden signals among noisy content. Therefore, a …

Knowledge-Infused Abstractive Summarization Of Clinical Diagnostic Interviews: Framework Development Study, Gaur Manas, Vamsi Aribandi, Ugur Kursuncu, Amanuel Alambo, Valerie L. Shalin, Krishnaprasad Thirunarayan, Jonathan Beich, Meera Narasimhan, Amit P. Sheth Ph.D.

Faculty Publications

Background: In clinical diagnostic interviews, mental health professionals (MHPs) implement a care practice that involves asking open questions (eg, "What do you want from your life?" "What have you tried before to bring change in your life?") while listening empathetically to patients. During these interviews, MHPs attempted to build a trusting human-centered relationship while collecting data necessary for professional medical and psychiatric care. Often, because of the social stigma of mental health disorders, patient discomfort in discussing their presenting problem may add additional complexities and nuances to the language they use, that is, hidden signals among noisy content. Therefore, a …

Masked Face Analysis Via Multi-Task Deep Learning, Vatsa S. Patel, Zhongliang Nie, Trung-Nghia Le, Tam Van Nguyen

Computer Science Faculty Publications

Face recognition with wearable items has been a challenging task in computer vision and involves the problem of identifying humans wearing a face mask. Masked face analysis via multi-task learning could effectively improve performance in many fields of face analysis. In this paper, we propose a unified framework for predicting the age, gender, and emotions of people wearing face masks. We first construct FGNET-MASK, a masked face dataset for the problem. Then, we propose a multi-task deep learning model to tackle the problem. In particular, the multi-task deep learning model takes the data as inputs and shares their weight to …

Rough Paths And Regularization, André O. Gomes, Alberto Ohashi, Francesco Russo, Alan Teixeira

Journal of Stochastic Analysis

No abstract provided.

Human-Computer Interaction Research And Education--Crossing Boundaries Between Academic Research And Industry Practices, Yasushi Akiyama

Interface: An International Interdisciplinary Studies Journal

In this paper, I will discuss my own experience and approaches to enhancing students' learning in Human-Computer Interaction (HCI) classes by adopting an interdisciplinary approach that integrates academic research and industry practice. Due to the inherent interdisciplinarity of HCI, and to foster a set of "soft" skills known in Interdisciplinary Studies as the "cognitive toolkit," I invite expertise from the other departments at my university as well as industry professionals to give lectures, facilitate workshops, and oversee projects. These collaborations have produced several insights and have had a positive impact on the participants.

Assessing The Vegetation Condition Impacts Of The 2011 Drought Across The U.S. Southern Great Plains Using The Vegetation Drought Response Index (Vegdri), Tsegaye Tadesse, Brian D. Wardlow, Jesslyn F. Brown, Mark D. Svoboda, Michael J. Hayes, Brian Fuchs, Denise Gutzmer

Drought Mitigation Center: Faculty Publications

The vegetation drought response index (VegDRI), which combines traditional climate- and satellite-based approaches for assessing vegetation conditions, offers new insights into assessing the impacts of drought from local to regional scales. In 2011, the U.S. southern Great Plains, which includes Texas, Oklahoma, and New Mexico, was plagued by moderate to extreme drought that was intensified by an extended period of recordbreaking heat. The 2011 drought presented an ideal case study to evaluate the performance of VegDRI in characterizing developing drought conditions. Assessment of the spatiotemporal drought patterns represented in the VegDRI maps showed that the severity and patterns of the …

Effect Of Burning And Management Alternatives On Forage Litter Composition Of A Native Pasture, I. Heringer, A. V. A. Jacques

IGC Proceedings (1993-2023)

The content and quantities of nutrients in forage and litter was evaluated in native pasture under grazing, submitted to burning and alternatives practices. The experimental design was a completely randomized, with three replications. The biennial burning has no effect in nutrients contents of the forage, but in the case of litter plus senescent material the concentration of Ca and Mg decreased as compared to the systems without burning. The sod-seeding treatment increased the nutrient contents in the alive and dead tissues. Nutrient accumulation on forage tissue and litter plus senescent material, was highest in the systems without burning.

Studies On Feeding Value For Five Psammophyte Shrubs In Ningxia Region, Dongmei X., Weixian C., Sijia G., Xiangyun X.

IGC Proceedings (1993-2023)

A trial was conducted on five psammophyte shrubs -Caragana intermedia, C. korshinskii, Hedysarum scoparium, H. laeve, Salix psammophylla in the post-fruit period in Ningxia, China. Chemical composition, palatability and in vitro digestibility were studied systematically. The feeding value was evaluated through Fuzzy multifactorial model. According to chemical composition, palatability and in vitro digestibility, C. intermedia, had the highest feeding value and C .korshinskii the lowest.

In Situ Dry Matter Ruminal Degradation Kinetics Of Prairie Grass And Annual Ryegrass Forage, J. R. Carrete, I. Ceconi

IGC Proceedings (1993-2023)

The objective of this study was to evaluate dry matter ruminal degradation kinetics, of prairie grass (Bromus catharticus Vahl.) and annual ryegrass (Lolium multiflorum), by using in sacco technique, on seven different harvesting dates. The forage was incubated in nylon bags, suspended in the rumen of four Hereford steers with a rumen fistula. The dry matter ruminal degradation was calculated through the exponential model P=a+b(1-exp(-ct)). Potential degradabilities (PD) were high and reduced across a temporal trend, ranging between 92,31 and 81,79g 100g ^-1 of dry matter (DM) for prairie grass (PG) and 95,06 and 77,44g 100g ^{-1 …}

Climate Process Team: Improvement Of Ocean Component Of Noaa Climate Forecast System Relevant To Madden-Julian Oscillation Simulations, Toshiaki Shinoda, Suyang Pei, Wanqiu Wang, Joshua X. Fu, Ren-Chieh Lien, Hyodae Seo, Alexander Soloviev

Marine & Environmental Sciences Faculty Articles

Given the increasing attention in forecasting weather and climate on the subseasonal time scale in recent years, National Oceanic and Atmospheric Administration (NOAA) announced to support Climate Process Teams (CPTs) which aim to improve the Madden-Julian Oscillation (MJO) prediction by NOAA’s global forecasting models. Our team supported by this CPT program focuses primarily on the improvement of upper ocean mixing parameterization and air-sea fluxes in the NOAA Climate Forecast System (CFS). Major improvement includes the increase of the vertical resolution in the upper ocean and the implementation of General Ocean Turbulence Model (GOTM) in CFS. In addition to existing mixing …

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Ovarian Cancer Epidemiology, Healthcare Access And Disparities (Orchid): Methodology For A Population-Based Study Of Black, Hispanic And White Patients With Ovarian Cancer, Tomi Akinyemiju, April Deveaux, Lauren Wilson, Anjali Gupta, Ashwini Joshi, Malcolm Bevel, Chioma Omeogu, Onyinye Ohamadike, Bin Huang, Maria Pisu, Margaret Liang, Molly Mcfatrich, Erin Daniell, Laura Jane Fish, Kevin Ward, Maria Schymura, Andrew Berchuck, Arnold L. Potosky

Biostatistics Faculty Publications

INTRODUCTION: Less than 40% of patients with ovarian cancer (OC) in the USA receive stage-appropriate guideline-adherent surgery and chemotherapy. Black patients with cancer report greater depression, pain and fatigue than white patients. Lack of access to healthcare likely contributes to low treatment rates and racial differences in outcomes. The Ovarian Cancer Epidemiology, Healthcare Access and Disparities study aims to characterise healthcare access (HCA) across five specific dimensions-Availability, Affordability, Accessibility, Accommodation and Acceptability-among black, Hispanic and white patients with OC, evaluate the impact of HCA on quality of treatment, supportive care and survival, and explore biological mechanisms that may contribute to …

Towards Generalizable Network Anomaly Detection Models, Md Arifuzzaman, Shafkat Islam, Engin Arslan

Computer Science Faculty Research & Creative Works

Finding the root causes of network performance anomalies is critical to satisfy the quality-of-service requirements. In this paper, we introduce machine learning (ML) models to process TCP socket statistics to pinpoint underlying reasons of performance issues such as packet loss and jitter. More importantly, we introduce a novel feature engineering method to transform network-dependent metrics (e.g., total packet count and round-trip time) in training datasets into network independent forms to be able to transfer the models to new network settings without requiring retraining them. Experimental results in various network settings show that the proposed feature engineering approach improves the performance …

D2gen: A Decentralized Device Genome Based Integrity Verification Mechanism For Collaborative Intrusion Detection Systems, Imran Makhdoom, Kadhim Hayawi, Mohammed Kaosar, Sujith Samuel Mathew, Pin-Han Ho

All Works

Collaborative Intrusion Detection Systems are considered an effective defense mechanism for large, intricate, and multilayered Industrial Internet of Things against many cyberattacks. However, while a Collaborative Intrusion Detection System successfully detects and prevents various attacks, it is possible that an inside attacker performs a malicious act and compromises an Intrusion Detection System node. A compromised node can inflict considerable damage on the whole collaborative network. For instance, when a malicious node gives a false alert of an attack, the other nodes will unnecessarily increase their security and close all of their services, thus, degrading the system’s performance. On the contrary, …

The Future Of Medicine Is Digital: Developing Educational Materials To Explore The Ethics Of Digital Pills., Dympna O'Sullivan, J. Paul Gibson, Yael Jacob, Ioannis Stavrakakis, Damian Gordon

Conference papers

Digital Pills are a drug-device technology that permit to combine traditional medications with a monitoring system that automatically records data about medication adherence and patients’ physiological data. They are a promising innovation in digital medicine, however their use has raised a number of ethical concerns. In this paper, we outline some of the main Digital Pills technologies and explore key ethical challenges surrounding their use. In this paper, we introduce educational materials we have developed that provide an insight into the technologies and ethical aspects that underpin Digital Pills.

The Spatial Patterns Of Pluvial Flood Risk, Blue-Green Infrastructure, And Social Vulnerability: A Case Study From Two Alaskan Cities, Arun K. Pallathadka, Heejun Chang, Idowu Ajibade

International Journal of Geospatial and Environmental Research

Flooding is a serious form of natural hazard in Alaska, USA. Two of Alaska’s biggest cities, Anchorage and Fairbanks, have experienced flooding of varying magnitude since the cities were first settled in the early 20th century. Although flood mitigation measures such as blue-green infrastructure (BGI) are rising in prominence, the spatial relationship of BGI, urban pluvial flood (UPF) zone, and social vulnerability remains understudied. This study delineates the UPF zone of Anchorage and Fairbanks using the Blue Spot modeling and correlates it with the distribution of BGI at Census Block Group (CBG) scale, focusing on underlying social vulnerability using a …

Faculty Versus Student Repeatability On Evaluating Translucency Of The Anterior Dentition, James L. Sheets, David B. Marx, Nina Ariani, Valentim A. R. Barão, Alvin G. Wee

Department of Statistics: Faculty Publications

The objective was to compare the repeatability between dental faculty, whose clinical practice was primarily restorative dentistry, and final year dental students in categorizing the inherent translucency of images selected at random using either a 3- or 7-point scale (translucent to opaque). Digital images of anterior dentition were randomly selected based on inherent translucency. Thirty images (five were repeated) were randomized and categorized by 20 dental students and 20 faculty on their inherent translucency. Statistical analysis was performed using an F test for analysis of variance at 95% confidence interval. A covariance parameter estimate (CPE) was accomplished to compare the …

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Feature Engineering Vs Feature Selection Vs Hyperparameter Optimization In The Spotify Song Popularity Dataset, Alan Cueva Mora, Brendan Tierney

Conference Papers

Research in Featuring Engineering has been part of the data pre-processing phase of machine learning projects for many years. It can be challenging for new people working with machine learning to understand its importance along with various approaches to find an optimized model. This work uses the Spotify Song Popularity dataset to compare and evaluate Feature Engineering, Feature Selection and Hyperparameter Optimization. The result of this work will demonstrate Feature Engineering has a greater effect on model efficiency when compared to the alternative approaches.

Predicting Human–Pathogen Protein–Protein Interactions Using Natural Language Processing Methods, Nikhil Mathews, Tuan Tran, Banafsheh Rekabdar, Chinwe Ekenna

Computer Science Faculty Publications and Presentations

In this paper, we predict the interaction of proteins between Humans and Yersinia pestis via amino acid sequences. We utilize multiple Natural Language Processing (NLP) methods available in deep learning in a unique format and produce promising results. Our developed model gives a cross-validation AUC score of 0.92 and is comparable with other work that utilizes extensive biochemical properties i.e, network and sequence in conjunction. We achieve this by combining advanced tools in neural machine translation into an integrated end-to-end deep learning framework as well as methods of preprocessing that are novel to the field of bioinformatics. We show that …