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Articles 28801 - 28830 of 294411

Full-Text Articles in Physical Sciences and Mathematics

Outlining The Hidden Curriculum: Perspectives On Successfully Navigating Scientific Conferences, Eduardo J. Caro-Diaz, Marcy J. Balunas, Lesley Ann Giddings, Sandra Loesgen, Brian T. Murphy, C. Benjamin Naman, Christine E. Salomon, Kevin J. Tidgewell, Jaclyn M. Winter May 2024

Outlining The Hidden Curriculum: Perspectives On Successfully Navigating Scientific Conferences, Eduardo J. Caro-Diaz, Marcy J. Balunas, Lesley Ann Giddings, Sandra Loesgen, Brian T. Murphy, C. Benjamin Naman, Christine E. Salomon, Kevin J. Tidgewell, Jaclyn M. Winter

Chemistry: Faculty Publications

Scientific conferences and meetings are valuable opportunities for researchers to network, communicate, and develop knowledge. For early career scientists, conferences can also be intimidating, confusing, and overwhelming, especially without having adequate preparation or experience. In this Perspective, we provide advice based on previous experiences navigating scientific meetings and conferences. These guidelines outline parts of the hidden curriculum around preparing for and attending meetings, navigating conference sessions, networking with other scientists, and participating in social activities while upholding a recommended code of conduct.


On Heptagonal Neutrosophic Semi-Open Sets In Heptagonal Neutrosophic Topological Spaces: Testing Proofs By Examples, Subasree R, Basarikodi K May 2024

On Heptagonal Neutrosophic Semi-Open Sets In Heptagonal Neutrosophic Topological Spaces: Testing Proofs By Examples, Subasree R, Basarikodi K

Neutrosophic Systems with Applications

In terms of heptagonal neutrosophic topological spaces, the purpose of this paper is to present the idea of heptagonal neutrosophic semi-open sets. Additionally, we examine a few of its characterizations and heptagonal neutrosophic semi-interior and heptagonal neutrosophic semi-closure operators.


Fixed Point Results In Complex Valued Neutrosophic B-Metric Spaces With Application, M. Pandiselvi, M. Jeyaraman May 2024

Fixed Point Results In Complex Valued Neutrosophic B-Metric Spaces With Application, M. Pandiselvi, M. Jeyaraman

Neutrosophic Systems with Applications

In this manuscript, we introduce the idea of complex-valued Neutrosophic b-metric spaces along with numerous significant illustrations. We provide fixed-point results for contraction maps. To support the main result, we establish the existence and uniqueness of solutions for nonlinear integral equations after the work.


Energy Dependence Of Quasi-Periodic Oscillations In Accreting X-Ray Pulsars, Hemanth Manikantan, Biswajit Paul, Rahul Sharma, Pragati Pradhan, Vikram Rana May 2024

Energy Dependence Of Quasi-Periodic Oscillations In Accreting X-Ray Pulsars, Hemanth Manikantan, Biswajit Paul, Rahul Sharma, Pragati Pradhan, Vikram Rana

Publications

We present the results from an investigation of the energy dependence of quasi-periodic oscillations (QPOs) exhibited by accreting X-ray pulsars using data from archival XMM-Newton, NuSTAR, RXTE, and NICER observations. In a search for the presence of QPOs in 99 XMM-Newton and NuSTAR observations, we detected QPOs in eleven observations of five sources, viz., 4U 1626–67 (48 mHz), IGR J19294+1816 (30 mHz), V 0332+53 (2, 18, and 40 mHz), Cen X–3 (30 mHz), and XTE J1858+034 (180 mHz). A positive correlation of the QPO rms amplitude with energy is exhibited by 4U 1626–67, IGR J19294+1816, Cen X–3 and XTE J1858+034, …


Rosarugosides A And D From Osa Rugosa Flower Buds: Their Potential Anti-Skin-Aging Effects Intnf-Α-Induced Human Dermal Fibroblasts, Si-Young Ahn, Dae Sik Jang, Sullim Lee May 2024

Rosarugosides A And D From Osa Rugosa Flower Buds: Their Potential Anti-Skin-Aging Effects Intnf-Α-Induced Human Dermal Fibroblasts, Si-Young Ahn, Dae Sik Jang, Sullim Lee

Faculty, Staff and Student Publications

This present study investigated the anti-skin-aging properties of Rosa rugosa. Initially, phenolic compounds were isolated from a hot water extract of Rosa rugosa's flower buds. Through repeated chromatography (column chromatography, MPLC, and prep HPLC), we identified nine phenolic compounds (1-9), including a previously undescribed depside, rosarugoside D (1). The chemical structure of 1 was elucidated via NMR, HR-MS, UV, and hydrolysis. Next, in order to identify bioactive compounds that are effective against TNF-α-induced NHDF cells, we measured intracellular ROS production in samples treated with each of the isolated compounds (1- …


Zeolitic Imidazolate Framework-8 Encapsulated With Mo-Based Polyoxometalates As Surfaces With Antibacterial Activity Against Escherichia Coli, Mariam M. Abdelkhalek, Aya M. Mohamed, Rehab Z. Abdallah, Ghada E. Khedr, Rania Siam, Nageh K. Allam May 2024

Zeolitic Imidazolate Framework-8 Encapsulated With Mo-Based Polyoxometalates As Surfaces With Antibacterial Activity Against Escherichia Coli, Mariam M. Abdelkhalek, Aya M. Mohamed, Rehab Z. Abdallah, Ghada E. Khedr, Rania Siam, Nageh K. Allam

Faculty Journal Articles

Bacterial infections represent a major global health concern, causing millions of deaths and a significant economic burden. The development of antibacterial nanoporous surfaces with potential mechano-bactericidal effects can revolutionize infection control practices. In this study, a hybrid material of zeolitic imidazolate framework-8 (ZIF-8) doped with phosphomolybdic acid (PMA) was synthesized and characterized by field emission scanning electron microscopy (FESEM), energy-dispersive X-ray spectroscopy (EDS), X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), and N2 sorption isotherms. PMA@ZIF-8 performance as an antibacterial agent against E. coli was superior to that of its individual constituents, suggesting a synergistic effect of PMA and ZIF-8. The …


Software Reliability Model Estimation For An Indeterministic Crime Cluster Through Reinforcement Learning, Dileep Kumar Kadali, R.N.V. Jagan Mohan, M. Chandra Naik May 2024

Software Reliability Model Estimation For An Indeterministic Crime Cluster Through Reinforcement Learning, Dileep Kumar Kadali, R.N.V. Jagan Mohan, M. Chandra Naik

Neutrosophic Systems with Applications

The software reliability model estimates the probability of data failure in a specific environment, significantly impacting reliability and trustworthiness. The paper study focuses on cluster crime data, i.e., indeterministic in Neutrosophic Logic, using a software reliability model. The study utilizes reinforcement learning, Neutrosophic logic, and non-homogeneous Poisson process crime data to estimate indeterministic cluster data in crime. The "Non-homogeneous Poisson Process with Neutrosophic Logic" technique performs well in evaluating and deterring crime based on crime data analysis. The crime cluster involving offenders correctly classified as failure to accomplish does better than uncertain cluster reliability estimation with least squares and logistic …


Incorporating Solvent Effects In Dft: Insights From Cation Exchange In Faujasites, An T. Ta, Ayoub Daouli, R. Seaton Ullberg, Eric Fonseca, Vanessa Proust, Agnès Grandjean, Richard G. Hennig, Hans Conrad Zur Loye, Michael Badawi, Simon R. Phillpot May 2024

Incorporating Solvent Effects In Dft: Insights From Cation Exchange In Faujasites, An T. Ta, Ayoub Daouli, R. Seaton Ullberg, Eric Fonseca, Vanessa Proust, Agnès Grandjean, Richard G. Hennig, Hans Conrad Zur Loye, Michael Badawi, Simon R. Phillpot

Faculty Publications

Zeolites are versatile materials renowned for their extra-framework cation exchange capabilities, with applications spanning diverse fields, including nuclear waste treatment. While detailed experimental characterization offers valuable insight, density functional theory (DFT) proves particularly adept at investigating ion exchange in zeolites, owing to its atomic and electronic resolution. However, the prevalent occurrence of zeolitic ion exchange in aqueous environments poses a challenge to conventional DFT modeling, traditionally conducted in a vacuum. This study seeks to enhance zeolite modeling by systematically evaluating predictive differences across varying degrees of aqueous solvent inclusion. Specifically focusing on monovalent cation exchange in Na-X zeolites, we explore …


Star-Based Reachability Analysis Of Binary Neural Networks On Continuous Input, Mykhailo Ivashchenko May 2024

Star-Based Reachability Analysis Of Binary Neural Networks On Continuous Input, Mykhailo Ivashchenko

School of Computing: Dissertations, Theses, and Student Research

Deep Neural Networks (DNNs) have become a popular instrument for solving various real-world problems. DNNs’ sophisticated structure allows them to learn complex representations and features. However, architecture specifics and floating-point number usage result in increased computational operations complexity. For this reason, a more lightweight type of neural networks is widely used when it comes to edge devices, such as microcomputers or microcontrollers – Binary Neural Networks (BNNs). Like other DNNs, BNNs are vulnerable to adversarial attacks; even a small perturbation to the input set may lead to an errant output. Unfortunately, only a few approaches have been proposed for verifying …


Anodic Cyclizations To Form Alkaloid Ring Systems And The Role Of The Second Oxidation Step, Zachary Tyler Medcalf May 2024

Anodic Cyclizations To Form Alkaloid Ring Systems And The Role Of The Second Oxidation Step, Zachary Tyler Medcalf

Arts & Sciences Graduate Student Theses and Dissertations

In chapter 1 we will explore the essential background on electrochemistry and anodic cyclization reactions, laying the foundation for understanding the subsequent chapters. In chapter 2, we will explore the mechanistic model established for anodic olefin coupling reactions and the importance of the second oxidation step in the success of these reactions. We showed how a fast second oxidation step can be used to push an anodic cyclization down a kinetic pathway. We will also explore how this step impacts the generation of product in photoelectron-transfer initiated radical cation reactions. It is evident that a fast second oxidation step alone …


Including Methane Emissions From Agricultural Ponds In National Greenhouse Gas Inventories, Martino E. Malerba, Tertius De Kluyver, Nicholas J. Wright, Odebiri Omosalewa, Peter I. Macreadie May 2024

Including Methane Emissions From Agricultural Ponds In National Greenhouse Gas Inventories, Martino E. Malerba, Tertius De Kluyver, Nicholas J. Wright, Odebiri Omosalewa, Peter I. Macreadie

Climate Science Research Articles

Agricultural ponds are a significant source of greenhouse gases, contributing to the ongoing challenge of anthropogenic climate change. Nations are encouraged to account for these emissions in their national greenhouse gas inventory reports. We present a remote sensing approach using open-access satellite imagery to estimate total methane emissions from agricultural ponds that account for (1) monthly fluctuations in the surface area of individual ponds, (2) rates of historical accumulation of agricultural ponds, and (3) the temperature dependence of methane emissions. As a case study, we used this method to inform the 2024 National Greenhouse Gas Inventory reports submitted by the …


Peace With Painful Memories, Mona Muzammil, Muzammil Arshad, Washain Muzammil May 2024

Peace With Painful Memories, Mona Muzammil, Muzammil Arshad, Washain Muzammil

School of Integrative Biological & Chemical Sciences (Formerly Dept. of Chemistry)

This Book helps you identify and heal from childhood emotional neglect so you can be more connected and emotionally present in your life.

Do you sometimes feel like you’re just going through the motions in life? Do you often act like you’re fine when you secretly feel lonely and disconnected? Perhaps you have a good life and yet somehow, it’s not enough to make you happy. Or perhaps you drink too much, eat too much, or risk too much to feel something good. If so, you are not alone and you may be suffering from emotional neglect.

Are you one …


Near-Collapse Of The Geomagnetic Field May Have Contributed To Atmospheric Oxygenation And Animal Radiation In The Ediacaran Period, Wentao Huang, John A. Tarduno, Tinghong Zhou, Mauricio Ibañez-Mejia, Laércio Dal Olmo-Barbosa, Edinei Koester, Eric G. Blackman, Aleksey V. Smirnov, Gabriel Ahrendt, Rory D. Cottrell, Kenneth P. Kodama, Richard K. Bono, David G. Sibeck, Yong Xiang Li, Francis Nimmo, Shuhai Xiao, Michael K. Watkeys May 2024

Near-Collapse Of The Geomagnetic Field May Have Contributed To Atmospheric Oxygenation And Animal Radiation In The Ediacaran Period, Wentao Huang, John A. Tarduno, Tinghong Zhou, Mauricio Ibañez-Mejia, Laércio Dal Olmo-Barbosa, Edinei Koester, Eric G. Blackman, Aleksey V. Smirnov, Gabriel Ahrendt, Rory D. Cottrell, Kenneth P. Kodama, Richard K. Bono, David G. Sibeck, Yong Xiang Li, Francis Nimmo, Shuhai Xiao, Michael K. Watkeys

Michigan Tech Publications

Earth’s magnetic field was in a highly unusual state when macroscopic animals of the Ediacara Fauna diversified and thrived. Any connection between these events is tantalizing but unclear. Here, we present single crystal paleointensity data from 2054 and 591 Ma pyroxenites and gabbros that define a dramatic intensity decline, from a strong Proterozoic field like that of today, to an Ediacaran value 30 times weaker. The latter is the weakest time-averaged value known to date and together with other robust paleointensity estimates indicate that Ediacaran ultra-low field strengths lasted for at least 26 million years. This interval of ultra-weak magnetic …


Characterizing Potentially Harmful Environmental Legacy Issues Within A Declining Midwest City: A Street Sediment Study Of Northeastern Terre Haute, Indiana, Katelyn Adams '24, Ken Brown May 2024

Characterizing Potentially Harmful Environmental Legacy Issues Within A Declining Midwest City: A Street Sediment Study Of Northeastern Terre Haute, Indiana, Katelyn Adams '24, Ken Brown

Senior Scholarly and Creative Symposium

Urban settings face unprecedented environmental challenges that include legacy issues as well as emerging pollution problems (e.g., micro-plastics) that continually impact the public health of its communities. Determining the baseline abundances of potentially harmful contaminants in soil, sediment, air, and water is essential to protecting residents. This study examines anthropogenic pollution in street sediments collected from three neighborhoods located in northeast Terre Haute, Indiana. Using stereomicroscopy, SEM/EDS, pXRF analyses, and geospatial analysis (GIS), the goal of this work is to characterize the types of pollutants present and place important constraints on their potential sources.

Stereomicroscopy on nine street sediment samples …


Dating The Ste. Genevieve Limestone In West-Central Indiana Using Sr-Isotope Stratigraphy, Claire Wolfe '24 May 2024

Dating The Ste. Genevieve Limestone In West-Central Indiana Using Sr-Isotope Stratigraphy, Claire Wolfe '24

Senior Scholarly and Creative Symposium

A section of Mississippian limestone is exposed in quarry walls at the DePauw Nature Park in Greencastle, Indiana, but its precise age is not known. This research project aimed to date the exposed wall using 87Sr/86Sr isotopic ratios to determine the absolute age. Ten samples of brachiopods and ooids were collected at various levels along the stratigraphic column. Isotope ratios were measured in these samples at ALS Scandinavia using a Neptune Plus MC-ICP-MS. Those ratios were then placed on a LOESS seawater Sr-isotope curve (McArthur, 2020) to determine the absolute age range for each sample. Whereas several samples were contaminated …


Measurement Of Transmission Efficiency Of Blue Light Blocking Devices, Jada Lee May 2024

Measurement Of Transmission Efficiency Of Blue Light Blocking Devices, Jada Lee

Honors Theses

Technology and light sources have experienced a revolution in recent years leading to the production of light emitting diode (LED) bulbs. White-light LED bulbs undergo degradation over time, leading to a rise in color temperature and a proportional increase in the emission of blue light from these bulbs. The small size of LEDs makes them the optimal choice for electronic devices because of their limited screen size. This means that blue light now exists in red, green, and blue solid-state illumination systems that did not exist a decade ago. It is debated if blue light induces toxic effects on the …


Enabling More Efficient Solar Thermal Energy Production And Storage, Allan Wilson May 2024

Enabling More Efficient Solar Thermal Energy Production And Storage, Allan Wilson

Poster Presentations

Concentrated Solar Power (CSP) stores & transfers energy using a Thermal Energy Storage Fluid (EIA AEO 2022)


Understanding The Public Reaction To Major United States Environmental Policies Through Twitter, Ryan Giammarco May 2024

Understanding The Public Reaction To Major United States Environmental Policies Through Twitter, Ryan Giammarco

Honors Projects in Data Science

An increased focus on access to general data as well as a continued lack of usable environmental data have resulted in an odd phenomenon where the public does not have the opportunity to understand their environment on a deep level. The goal of this research is to understand, as a result, how people both talk and feel about certain environmental changes, particularly those in the realm of politics. Through word clouds and sentiment analysis performed with historical Twitter data collected between 2010 and 2022, we can identify the general trends in both conversation and feeling as they relate to a …


Formation Of Diazirine Functionality For Propellant Applications, Abby Mock May 2024

Formation Of Diazirine Functionality For Propellant Applications, Abby Mock

Poster Presentations

Overall, this research focuses on a cost-effective approach which minimizes synthetic overhead when assembling compounds with diazirine functionality. The goals are to prevent the surplus use of ammonia in the formation of the diaziridines and use electrochemistry to perform the oxidation of diaziridines. In addition, this project will evaluate the efficiency of different diazirine molecules as propellants.


Representations Of Solutions Of Time-Fractional Multi-Order Systems Of Differential-Operator Equations, Sabir Umarov May 2024

Representations Of Solutions Of Time-Fractional Multi-Order Systems Of Differential-Operator Equations, Sabir Umarov

Mathematics Faculty Publications

This paper is devoted to the general theory of systems of linear time-fractional differential-operator equations. The representation formulas for solutions of systems of ordinary differential equations with single (commensurate) fractional order is known through the matrix-valued Mittag-Leffler function. Multi-order (incommensurate) systems with rational components can be reduced to single-order systems, and, hence, representation formulas are also known. However, for arbitrary fractional multi-order (not necessarily with rational components) systems of differential equations, the representation formulas are still unknown, even in the case of fractional-order ordinary differential equations. In this paper, we obtain representation formulas for the solutions of arbitrary fractional multi-order …


Simulacra And Historical Fidelity In Digital Recreation Of Lost Cultural Heritage: Reconstituting Period Materialities For The Period Eye, Trent Olsen, James Hutson, Charles O'Brien, Jeremiah Ratican May 2024

Simulacra And Historical Fidelity In Digital Recreation Of Lost Cultural Heritage: Reconstituting Period Materialities For The Period Eye, Trent Olsen, James Hutson, Charles O'Brien, Jeremiah Ratican

Faculty Scholarship

The advancement of digital technologies in art history has opened avenues for reconstructing lost or damaged cultural heritage, a need highlighted by the deteriorated state of many artworks from the 1785 Salon. Grounded in the concept of the “Period Eye” by art historian Michael Baxandall, which emphasizes understanding artworks within their original historical and cultural contexts, this study proposes a subfield focused on Reconstituting Period Materialities for the Period Eye. This methodology bridges comprehensive historical research with generative visual artificial intelligence (AI) technologies, facilitating the creation and immersive virtual reality viewing of artworks. Beyond mere visual replication, the approach aims …


Advancing Sentiment Analysis Through Emotionally-Agnostic Text Mining In Large Language Models (Llms), Jay Ratican, James Hutson May 2024

Advancing Sentiment Analysis Through Emotionally-Agnostic Text Mining In Large Language Models (Llms), Jay Ratican, James Hutson

Faculty Scholarship

The conventional methodology for sentiment analysis within large language models (LLMs) has predominantly drawn upon human emotional frameworks, incorporating physiological cues that are inherently absent in text-only communication. This research proposes a paradigm shift towards an emotionallyagnostic approach to sentiment analysis in LLMs, which concentrates on purely textual expressions of sentiment, circumventing the confounding effects of human physiological responses. The aim is to refine sentiment analysis algorithms to discern and generate emotionally congruent responses strictly from text-based cues. This study presents a comprehensive framework for an emotionally-agnostic sentiment analysis model that systematically excludes physiological indicators whilst maintaining the analytical depth …


Pre-Plinian Perplexity: Identifying And Constraining An Anomalous Pdc During The Initial Stages Of The May 18, 1980 Mt. St. Helens Eruption, Justin Crevier May 2024

Pre-Plinian Perplexity: Identifying And Constraining An Anomalous Pdc During The Initial Stages Of The May 18, 1980 Mt. St. Helens Eruption, Justin Crevier

Geosciences Undergraduate Theses

The Mount St. Helens (MSH) 18 May 1980 eruption was a formative event for a generation of volcanologists. With so much data available from detailed studies of the Blast and Plinian phases, MSH could aptly be called one of volcanology's greatest teachers—and the volcano may yet have more to teach us. The transition period, which occurred between the end of the Blast phase (0830) and the beginning of the Plinian phase (0920) on the morning of May 18, 1980, has not yet benefited from the same degree of comprehensive review as either of those phases. The conditions which caused the …


The Effect Of Vision On Lower Quarter Balance During Y-Balance Test Testing In College Students, Nathan Smith, Katelyn Mehr May 2024

The Effect Of Vision On Lower Quarter Balance During Y-Balance Test Testing In College Students, Nathan Smith, Katelyn Mehr

Applied Health Sciences Student Works

Purpose: In order to maintain balance and stability, the body relies on the integration of information from the visual, vestibular, and proprioceptive systems. If an individual has an impairment or weakness in one or more systems, their ability to maintain balance may be impaired. Both postural stability and vision contribute to one’s ability to maintain balance in functions of everyday life. The Y-Balance Test (YBT) is a dynamic balance assessment. This study focuses on the visual system and its relation to postural balance, specifically if altered visual states affect one’s ability to maintain balance during a YBT via the use …


Academic Literature Review In Age Of Ai And Large Language Models​, Aaron Tay May 2024

Academic Literature Review In Age Of Ai And Large Language Models​, Aaron Tay

Research Collection Library

Explore the evolving landscape of academic research with a focus on open data and AI advancements, particularly in natural language processing. Join us for a practical presentation on leveraging emerging tools for literature review. Discover platforms like Connected Papers, ResearchRabbit, and Litmaps, offering paper exploration and recommendations based on initial 'seed papers.' Dive into AI-enhanced search engines like Elicit, Scispace, Semantic Scholar, and Scite.ai, powered by Large Language Models such as BERT and GPT. Learn about the latest developments, strengths, and weaknesses of these tools, and how they reshape literature review methods, from tool selection to query input techniques.


Side Channel Detection Of Pc Rootkits Using Nonlinear Phase Space, Rebecca Clark May 2024

Side Channel Detection Of Pc Rootkits Using Nonlinear Phase Space, Rebecca Clark

Poster Presentations

Cyberattacks are increasing in size and scope yearly, and the most effective and common means of attack is through malicious software executed on target devices of interest. Malware threats vary widely in terms of behavior and impact and, thus, effective methods of detection are constantly being sought from the academic research community to offset both volume and complexity. Rootkits are malware that represent a highly feared threat because they can change operating system integrity and alter otherwise normally functioning software. Although normal methods of detection that are based on signatures of known malware code are the standard line of defense, …


The Effects Of Free Volume And Processing On The Development Of Gas Separation Membranes, Jacob Schekman May 2024

The Effects Of Free Volume And Processing On The Development Of Gas Separation Membranes, Jacob Schekman

Dissertations

Structure, thermal, mechanical, gas transport, and free volume properties of thiol-ene based systems are investigated and discussed. In the pursuit of generating low energy-cost polymer membranes for gas separation, it became apparent that UV-curing of thiol-ene materials presented several routes toward achieving this goal. Network structure plays a vital role in determining the gas transport properties of membrane materials. UV photopolymerization techniques provide a means to rapidly vitrify network morphologies which can be tuned depending on choice of monomer. Thiol-ene monomers offer a broad range of precursor materials from which to choose for the design of functional membrane materials.

Chapter …


Using Machine Learning To Identify Hate Speech And Offensive Language On Twitter., Mayara Lorens, Thayene Lorens May 2024

Using Machine Learning To Identify Hate Speech And Offensive Language On Twitter., Mayara Lorens, Thayene Lorens

BSc (Hons) in Computing in IT

The central theme of this project is the application of Machine Learning to identify both hate speech and offensive language on Twitter. We chose this topic for its ethical relevance in the technological environment and its business potential. This topic raises concerns such as cyberbullying and the existence of a hostile environment for users. For this reason, we sought to implement four different models to create an automated system capable of identifying and categorizing whether specific content is offensive, non-offensive or neutral.


Topics In The Study Of The Pragmatic Functions Of Phonetic Reduction In Dialog, Nigel G. Ward, Carlos A. Ortega May 2024

Topics In The Study Of The Pragmatic Functions Of Phonetic Reduction In Dialog, Nigel G. Ward, Carlos A. Ortega

Departmental Technical Reports (CS)

Reduced articulatory precision is common in speech, but for dialog its acoustic properties and pragmatic functions have been little studied. We here try to remedy this gap. This technical report contains content that was omitted from the journal article (Ward et. al, submitted). Specifically, we here report 1) lessons learned about annotating for perceived reduction, 2) the finding that, unlike in read speech, the correlates of reduction in dialog include high pitch, wide pitch range, and intensity, and 3) a baseline model for predicting reduction in dialog, using simple acoustic/prosodic features, that achieves correlations with human perceptions of 0.24 for …


How To Make A Neural Network Learn From A Small Number Of Examples -- And Learn Fast: An Idea, Chitta Baral, Vladik Kreinovich May 2024

How To Make A Neural Network Learn From A Small Number Of Examples -- And Learn Fast: An Idea, Chitta Baral, Vladik Kreinovich

Departmental Technical Reports (CS)

Current deep learning techniques have led to spectacular results, but they still have limitations. One of them is that, in contrast to humans who can learn from a few examples and learn fast, modern deep learning techniques require a large amount of data to learn, and they take a long time to train. In this paper, we show that neural networks do have a potential to learn from a small number of examples -- and learn fast. We speculate that the corresponding idea may already be implicitly implemented in Large Language Models -- which may partially explain their (somewhat mysterious) …