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Articles 37891 - 37920 of 294391

Full-Text Articles in Physical Sciences and Mathematics

Two Massive, Compact, And Dust-Obscured Candidate Z ≃ 8 Galaxies Discovered By Jwst, Hollis B. Akins, Caitlin M. Casey, Natalie Allen, Micaela B. Bagley, Mark Dickinson, Steven L. Finkelstein, Maximilien Franco, Santosh Harish, Pablo Arrabal Haro, Olivier Ilbert, Jeyhan S. Kartaltepe, Anton M. Koekemoer, Daizhong Liu, Arianna S. Long, Henry Joy Mccracken, Louise Paquereau, Casey Papovich, Nor Pirzkal, Jason Rhodes, Brant E. Robertson, Marko Shuntov, Sune Toft Oct 2023

Two Massive, Compact, And Dust-Obscured Candidate Z ≃ 8 Galaxies Discovered By Jwst, Hollis B. Akins, Caitlin M. Casey, Natalie Allen, Micaela B. Bagley, Mark Dickinson, Steven L. Finkelstein, Maximilien Franco, Santosh Harish, Pablo Arrabal Haro, Olivier Ilbert, Jeyhan S. Kartaltepe, Anton M. Koekemoer, Daizhong Liu, Arianna S. Long, Henry Joy Mccracken, Louise Paquereau, Casey Papovich, Nor Pirzkal, Jason Rhodes, Brant E. Robertson, Marko Shuntov, Sune Toft

Pacific Faculty Work

We present a search for extremely red, dust-obscured, z > 7 galaxies with JWST/NIRCam+MIRI imaging over the first 20 arcmin2 of publicly available Cycle 1 data from the COSMOS-Web, CEERS, and PRIMER surveys. Based on their red color in F277W−F444W (∼2.5 mag) and detection in MIRI/F770W (∼25 mag), we identify two galaxies, COS-z8M1 and CEERS-z7M1, that have best-fit photometric redshifts of z = 8.4 − 0.4 + 0.3 and 7.6 − 0.1 + 0.1 , respectively. We perform spectral energy distribution fitting with a variety of codes (including bagpipes, prospector, beagle, and cigale) and find a >95% probability that these …

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An Introduction To The Veritas Observatory, Alexander Bittle, Ian Kuhl, Jingze (Justin) Zhou, Avery Archer Oct 2023

An Introduction To The Veritas Observatory, Alexander Bittle, Ian Kuhl, Jingze (Justin) Zhou, Avery Archer

Annual Student Research Poster Session

Located at the base of Mount Hopkins, Arizona, at an elevation of approximately 4200 feet, the Very Energetic Radiation Imaging Telescope Array System (VERITAS) is a ground-based gamma ray observatory containing four Cherenkov telescopes designed to detect very high energy gamma rays with energies ranging from 100GeV to 10TeV using the Imaging Atmospheric Cherenkov Technique. In April 2007, VERITAS began successful operations with all four telescopes. As of today, over 15 years of data has been taken by the VERITAS array, stored in an archive of data, and used for a wide variety of research, publications, PhD theses, and conventions …

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Differential Equations In Stock Prediction Analysis, Alan Tuan Le, Mai Le, Sutthirut Charoenphon Oct 2023

Differential Equations In Stock Prediction Analysis, Alan Tuan Le, Mai Le, Sutthirut Charoenphon

Annual Student Research Poster Session

Stock price prediction plays a vital role in financial decision-making and has been an area of extensive research. In this research, we explore the effectiveness of the differential equation of Brownian motion as a method for stock price prediction and compare its performance with two established techniques, ARIMA and XGBoost. Using historical data from Yahoo Finance, we assess the predictive capabilities of these models and analyze their strengths and weaknesses. The findings of this study will shed light on the potential of Brownian motion as a viable approach in financial forecasting and provide valuable insights for investors and researchers in …

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Analysis Of The Crab Nebula And Pulsar, Alexander Bittle, Ian Kuhl, Jingze (Justin) Zhou, Avery Archer Oct 2023

Analysis Of The Crab Nebula And Pulsar, Alexander Bittle, Ian Kuhl, Jingze (Justin) Zhou, Avery Archer

Annual Student Research Poster Session

Although the Crab Nebula is well understood, the Very Energetic Radiation Imaging Telescope Array System (VERITAS) still regularly observes the Crab's highest energy emissions. These emissions are used to calibrate the telescopes, further, document the system, and investigate the validity of physical models. Our research this summer is geared to analyze data from 2018-2022 to add to an ongoing research project investigating the long term variability of the Crab Nebula’s emission.

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Cross-Scale Urban Land Cover Mapping: Empowering Classification Through Transfer Learning And Deep Learning Integration, Zhe Wang, Chao Fan, Xian Min, Shoukun Sun, Xiaogang Ma, Xiang Que Oct 2023

Cross-Scale Urban Land Cover Mapping: Empowering Classification Through Transfer Learning And Deep Learning Integration, Zhe Wang, Chao Fan, Xian Min, Shoukun Sun, Xiaogang Ma, Xiang Que

I-GUIDE Forum

Urban land cover mapping is essential for effective urban planning and resource management. Thanks to its ability to extract intricate features from urban datasets, deep learning has emerged as a powerful technique for urban classification. The U-net architecture has achieved state-of-the-art land cover classification performance, highlighting its potential for mapping urban trees at different spatial scales. However, deep learning approaches often require large, labeled datasets, which are challenging to acquire for specific urban contexts. Transfer learning addresses this limitation by leveraging pre-trained deep learning models on extensive datasets and adapting them to smaller urban datasets with limited labeled samples. Transfer …

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Longboard Classification Using Machine Learning, Tuan (Kevin) Le, Evans Sajtar, Mckenzie Lamb Oct 2023

Longboard Classification Using Machine Learning, Tuan (Kevin) Le, Evans Sajtar, Mckenzie Lamb

Annual Student Research Poster Session

There are several techniques a rider can choose from that they can perform being distributed along the long-board ride. This research aims to create a machine-learning model that can efficiently classify these techniques at different periods of time using raw acceleration data. This paper presents the complete workflow of the application. This application involves analytical geometry, multidimensional calculus, and linear algebra and can be used to visualize and normalize time-invariant object paths. This model focuses on displacement data calculated from raw acceleration data and gyro sensor data from a smartphone application called "Physics Toolbox Sensor Suite". We extracted features from …

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Investigating Sucrose And D-Trehalose In Aot Reverse Micelles, Delaney Collier, Bridget L. Gourley Oct 2023

Investigating Sucrose And D-Trehalose In Aot Reverse Micelles, Delaney Collier, Bridget L. Gourley

Annual Student Research Poster Session

Reverse micelles are nanosized structures that encapsulate small water pools and allow us to investigate the fundamental interactions of small organic molecules in nanoconfinement. The behavior of small organic molecules, sometimes referred to as osmolytes, differs in bulk solution and confinement. Because reverse micelles are a good model for biological nanoconfinement, investigating osmolytes in reverse micelle systems can help us to better understand the role they play in biological systems. Optical spectroscopy such as UV-Vis, Fluorescence, and Red Edge Excitation (REES) was used to probe the environment of the reverse micelles. Three small organic molecules were studied: a monosaccharide, d-glucose, …

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Fast And Slow Microphysics Regimes In A Minimalist Model Of Cloudy Rayleigh-Bénard Convection, Raymond A. Shaw, Subin Thomas, Prasanth Prabhakaran, Will Cantrell, Mikhail Ovchinnikov, Fan Yang Oct 2023

Fast And Slow Microphysics Regimes In A Minimalist Model Of Cloudy Rayleigh-Bénard Convection, Raymond A. Shaw, Subin Thomas, Prasanth Prabhakaran, Will Cantrell, Mikhail Ovchinnikov, Fan Yang

Michigan Tech Publications

A minimalist model of microphysical properties in cloudy Rayleigh-Bénard convection is developed based on mass and number balances for cloud droplets growing by vapor condensation. The model is relevant to a turbulent mixed-layer in which a steady forcing of supersaturation can be defined, e.g., a model of the cloudy boundary layer or a convection-cloud chamber. The model assumes steady injection of aerosol particles that are activated to form cloud droplets, and the removal of cloud droplets through sedimentation. Simplifying assumptions include the consideration of mean properties in steady state, neglect of coalescence growth, and no detailed representation of the droplet …

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Solving Geospatial Problems Under Extreme Time Constraints: A Call For Inclusive Geocomputational Education, Coline C. Dony Oct 2023

Solving Geospatial Problems Under Extreme Time Constraints: A Call For Inclusive Geocomputational Education, Coline C. Dony

I-GUIDE Forum

To prepare our next generation to face geospatial problems that have extreme time constraints (e.g., disasters, climate change) we need to create educational pathways that help students develop their geocomputational thinking skills. First, educators are central in helping us create those pathways, therefore, we need to clearly convey to them why and in which contexts this thinking is necessary. For that purpose, a new definition for geocomputational thinking is suggested that makes it clear that this thinking is needed for geospatial problems that have extreme time constraints. Secondly, we can not further burden educators with more demands, rather we should …

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Curriculum Design Of Artificial Intelligence And Sustainability In Secondary School, Jinyi Cai, Mei-Po Kwan, Chunyu Hou, Dong Liu, Yeung Yam Oct 2023

Curriculum Design Of Artificial Intelligence And Sustainability In Secondary School, Jinyi Cai, Mei-Po Kwan, Chunyu Hou, Dong Liu, Yeung Yam

I-GUIDE Forum

Artificial Intelligence is revolutionizing numerous sectors with its transformative power, while at the same time, there is an increasing sense of urgency to address sustainability challenges. Despite the significance of both areas, secondary school curriculums still lack comprehensive integration of AI and sustainability education. This paper presents a curriculum designed to bridge this gap. The curriculum integrates progressive objectives, computational thinking competencies and system thinking components across five modules—awareness, knowledge, interaction, empowerment and ethics—to cater to varying learner levels. System thinking components help students understand sustainability in a holistic manner. Computational thinking competencies aim to cultivate computational thinkers to guide …

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Gaxin2-Xo3 Surface Pyramids Interaction With Formaldehyde: Thermodynamic And Sensing Analysis, Mudar Ahmed Abdulsattar Oct 2023

Gaxin2-Xo3 Surface Pyramids Interaction With Formaldehyde: Thermodynamic And Sensing Analysis, Mudar Ahmed Abdulsattar

Karbala International Journal of Modern Science

GaxIn2-xO3 surface pyramids' electronic structures are investigated using density functional theory, including dispersion corrections. Application of GaxIn2-xO3 surface pyramids as a gas sensor for formaldehyde is also performed and compared with experimental findings. These findings show that the energy gap of these pyramids follows closely with the bulk values. The energy gap increases between the two limits, In2O3 and Ga2O3. Applying GaxIn2-xO3 surface pyramids as a gas sensor uses transition state theory formalism. Thermodynamic quantities such as activation Gibbs energy, enthalpy, and entropy are needed for temperature-dependent calculations. A comparison of sensor response which is proportional to reaction rate as …

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A Spatiotemporal Synthesis Of High-Resolution Salinity Data With Aquaculture Applications, Dong Liang, Jeremy M. Testa, Cassie Gurbisz, Lora A. Harris Oct 2023

A Spatiotemporal Synthesis Of High-Resolution Salinity Data With Aquaculture Applications, Dong Liang, Jeremy M. Testa, Cassie Gurbisz, Lora A. Harris

I-GUIDE Forum

Technological advancement and the desire to better monitor shallow habitats in the Chesapeake Bay, Maryland, United States led to the initiation of several high-resolution monitoring programs such as ConMon (short for “Continuous Monitoring”) measuring oxygen, salinity, and chlorophyll-a at a 15-minute frequency. These monitoring efforts have yielded an enormous volume of data and insight into the condition of the tidal water of the Bay. But this information is underutilized in documenting the fine-scale variability of water quality, which is critical in identifying the link between water quality and ecological responses, partly due to the challenges in integrating monitoring data collected …

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Reducing Uncertainty In Sea-Level Rise Prediction: A Spatial-Variability-Aware Approach, Subhankar Ghosh, Shuai An, Arun Sharma, Jayant Gupta, Shashi Shekhar, Aneesh Subramanian Oct 2023

Reducing Uncertainty In Sea-Level Rise Prediction: A Spatial-Variability-Aware Approach, Subhankar Ghosh, Shuai An, Arun Sharma, Jayant Gupta, Shashi Shekhar, Aneesh Subramanian

I-GUIDE Forum

Given multi-model ensemble climate projections, the goal is to accurately and reliably predict future sea-level rise while lowering the uncertainty. This problem is important because sea-level rise affects millions of people in coastal communities and beyond due to climate change's impacts on polar ice sheets and the ocean. This problem is challenging due to spatial variability and unknowns such as possible tipping points (e.g., collapse of Greenland or West Antarctic ice-shelf), climate feedback loops (e.g., clouds, permafrost thawing), future policy decisions, and human actions. Most existing climate modeling approaches use the same set of weights globally, during either regression or …

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Substituent Effects And Mechanistic Insights On The Catalytic Activities Of (Tetraarylcyclopentadienone)Iron Carbonyl Compounds In Transfer Hydrogenations And Dehydrogenations, Bryn K. Werley, Xintong Hou, Evan P. Bertonazzi, Anthony Chianese, Timothy W. Funk Oct 2023

Substituent Effects And Mechanistic Insights On The Catalytic Activities Of (Tetraarylcyclopentadienone)Iron Carbonyl Compounds In Transfer Hydrogenations And Dehydrogenations, Bryn K. Werley, Xintong Hou, Evan P. Bertonazzi, Anthony Chianese, Timothy W. Funk

Chemistry Faculty Publications

(Cyclopentadienone)iron carbonyl compounds are catalytically active in carbonyl/imine reductions, alcohol oxidations, and borrowing hydrogen reactions, but the effect of cyclopentadienone electronics on their activity is not well established. A series of (tetraarylcyclopentadienone)iron tricarbonyl compounds with varied electron densities on the cyclopentadienone were prepared, and their activities in transfer hydrogenations and dehydrogenations were explored. Additionally, mechanistic studies, including kinetic isotope effect experiments and modifications to substrate electronics, were undertaken to gain insights into catalyst resting states and turnover-limiting steps of these reactions. As the cyclopentadienone electron density increased, both the transfer hydrogenation and dehydrogenation rates increased. A catalytically relevant, trimethylamine-ligated iron …

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2023 October 5 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University Oct 2023

2023 October 5 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

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Chatgpt And Other Generative Ai: A Game Changer For Special Education?, Jennifer J. Lesh Oct 2023

Chatgpt And Other Generative Ai: A Game Changer For Special Education?, Jennifer J. Lesh

Faculty and Staff Publications & Presentations

Keynote session that involved the audience, had them engage in share outs and exploring, as well as provided open-ended thought provoking questions to share with other stakeholders.

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Peatmoss: Mining Pre-Trained Models In Open-Source Software, Wenxin Jiang, Jason Jones, Jerin Yasmin, Nicholas Synovic, Rajiv Sashti, Sophie Chen, George K. Thiruvathukal, Yuan Tian, James C. Davis Oct 2023

Peatmoss: Mining Pre-Trained Models In Open-Source Software, Wenxin Jiang, Jason Jones, Jerin Yasmin, Nicholas Synovic, Rajiv Sashti, Sophie Chen, George K. Thiruvathukal, Yuan Tian, James C. Davis

Computer Science: Faculty Publications and Other Works

Developing and training deep learning models is expensive, so software engineers have begun to reuse pre-trained deep learning models (PTMs) and fine-tune them for downstream tasks. Despite the widespread use of PTMs, we know little about the corresponding software engineering behaviors and challenges. To enable the study of software engineering with PTMs, we present the PeaTMOSS dataset: Pre-Trained Models in Open-Source Software. PeaTMOSS has three parts: a snapshot of (1) 281,638 PTMs, (2) 27,270 open-source software repositories that use PTMs, and (3) a mapping between PTMs and the projects that use them. We challenge PeaTMOSS miners to discover software engineering …

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How Sensitive Are Catchment Runoff Estimates To On-Farm Storages Under Current And Future Climates?, David E. Robertson, Hongxing Zheng, Jorge L. Pena-Arancibia, Francis H S Chiew, Santosh Aryal, Martino E. Malerba, Nicholas J. Wright Oct 2023

How Sensitive Are Catchment Runoff Estimates To On-Farm Storages Under Current And Future Climates?, David E. Robertson, Hongxing Zheng, Jorge L. Pena-Arancibia, Francis H S Chiew, Santosh Aryal, Martino E. Malerba, Nicholas J. Wright

Climate Science Research Articles

Storage of water in farm dams is important to support irrigation, stock requirements and domestic uses when reticulated water is unavailable. Farm dams that fill by intercepting landscape runoff change the total volume and seasonality of catchment streamflow, potentially impacting water policy outcomes. While numerous studies have quantified how climate change and farm dams independently change streamflow characteristics, few studies have investigated their interactions. This study investigates the interactions between farm dams and climate change in the Murray-Darling Basin of southern and eastern Australia. We use hydrological modelling that explicitly represent farm dams and remotely sensed data describing historical farm …

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Enhancing Autism Education: Exploring Interactive Videos And Ai Integration For Effective Teaching, Fatima Ahmed Alraeesi Oct 2023

Enhancing Autism Education: Exploring Interactive Videos And Ai Integration For Effective Teaching, Fatima Ahmed Alraeesi

Thesis/ Dissertation Defenses

Teachers should be aware of how to develop effective teaching methods for students with autism. To achieve the best results, teachers need to thoroughly understand autism and the teaching methods and modifications that work best for these students. Adapting classwork & homework and helping students with language difficulties are effective teaching methods. Teachers can use books to get the necessary information and guidance or take training courses. Keeping students organized and focused is one of the needs of children with autism, as well as the use of visual strategies. Some teachers rely on fixed routines in teaching autistic children. Therefore, …

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Reimagining Large River Management Using The Resist–Accept–Direct (Rad) Framework In The Upper Mississippi River, Nicole K. Ward, Abigail J. Lynch, Erik A. Beever, Joshua Booker, Kristen L. Bouska, Holly Embke, Jeffrey N. Houser, John F. Kocik, David J. Lawrence, Mary Grace Lemon, Doug Limpinsel, Madeline R. Magee, Bryan M. Maitland, Owen Mckenna, Andrew Meier, John M. Morton, Jeffrey D. Muehlbauer, Robert Newman, Devon C. Oliver, Heidi M. Rantala, Greg G. Sass, Aaron Shultz, Laura M. Thompson, Jennifer L. Wilkening Oct 2023

Reimagining Large River Management Using The Resist–Accept–Direct (Rad) Framework In The Upper Mississippi River, Nicole K. Ward, Abigail J. Lynch, Erik A. Beever, Joshua Booker, Kristen L. Bouska, Holly Embke, Jeffrey N. Houser, John F. Kocik, David J. Lawrence, Mary Grace Lemon, Doug Limpinsel, Madeline R. Magee, Bryan M. Maitland, Owen Mckenna, Andrew Meier, John M. Morton, Jeffrey D. Muehlbauer, Robert Newman, Devon C. Oliver, Heidi M. Rantala, Greg G. Sass, Aaron Shultz, Laura M. Thompson, Jennifer L. Wilkening

Biology Faculty Publications

Background Large-river decision-makers are charged with maintaining diverse ecosystem services through unprecedented social-ecological transformations as climate change and other global stressors intensify. The interconnected, dendritic habitats of rivers, which often demarcate jurisdictional boundaries, generate complex management challenges. Here, we explore how the Resist–Accept–Direct (RAD) framework may enhance large-river management by promoting coordinated and deliberate responses to social-ecological trajectories of change. The RAD framework identifies the full decision space of potential management approaches, wherein managers may resist change to maintain historical conditions, accept change toward different conditions, or direct change to a specified future with novel conditions. In the Upper Mississippi …

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A Classical Fall Statistics Problem, Timothy Meyer Oct 2023

A Classical Fall Statistics Problem, Timothy Meyer

Cornhusker Economics

An evaluation of traditional baseball measures and suggestions for alternatives, centering on statistics related to the offensive quality of a player.

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Residential Metals Abatement Program Investigation Summary Report (Non-Residential Parcels – Indoor Dust) - Ramsay Elementary School, Environmental Resource Management (Erm) Oct 2023

Residential Metals Abatement Program Investigation Summary Report (Non-Residential Parcels – Indoor Dust) - Ramsay Elementary School, Environmental Resource Management (Erm)

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Rogue Waves And Their Patterns In The Vector Nonlinear Schrödinger Equation, Guangxiong Zhang, Peng Huang, Bao-Feng Feng, Chengfa Wu Oct 2023

Rogue Waves And Their Patterns In The Vector Nonlinear Schrödinger Equation, Guangxiong Zhang, Peng Huang, Bao-Feng Feng, Chengfa Wu

School of Mathematical & Statistical Sciences Faculty Publications

In this paper, we study the general rogue wave solutions and their patterns in the vector (or M-component) nonlinear Schrödinger (NLS) equation. By applying the Kadomtsev–Petviashvili reduction method, we derive an explicit solution for the rogue wave expressed by τ functions that are determinants of K × K block matrices ( 1 ≤ K ≤ M ) with an index jump of M + 1 . Patterns of the rogue waves for M = 3 , 4 and K = 1 are thoroughly investigated. It is found that when one of the internal parameters is large enough, the wave pattern …

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Broadband Equity, Access, And Deployment In Nevada, Brad Wimmer Oct 2023

Broadband Equity, Access, And Deployment In Nevada, Brad Wimmer

Policy Briefs and Reports

The $45.45 billion Broadband, Equity, Access, and Deployment (BEAD) program’s primary objective is to extend broadband service to all unserved and underserved locations in the U.S. and its territories. Several industry studies predict that the BEAD program can meet its goal of providing universal access to broadband service if eligible entities execute their grant programs well. My review of the BEAD program indicates that policy makers can enhance the likelihood of program success by designing competitive grant programs that give applicants the incentive to undercut the subsidies proposed by their rivals and provide applicants the flexibility to design networks that …

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Draft - Residential Metals Abatement Program Investigation Summary Report (Non-Residential Parcels – Indoor Dust) Ramsay Elementary School, Environmental Resource Management (Erm) Oct 2023

Draft - Residential Metals Abatement Program Investigation Summary Report (Non-Residential Parcels – Indoor Dust) Ramsay Elementary School, Environmental Resource Management (Erm)

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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The Medieval Climate Anomaly: Drought And Societal Collapse, T. Elliott Arnold Oct 2023

The Medieval Climate Anomaly: Drought And Societal Collapse, T. Elliott Arnold

Sustainability Research & Practice Seminar Presentations

Sustainability Research & Practice Seminar on "The Medieval Climate Anomaly: Drought and Societal Collapse" by Professor (Thomas) Elliott Arnold, Department of Earth & Space Sciences, West Chester University of Pennsylvania.

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Modification Of Thermally Activated Delayed Fluorescence Emitters Comprising Acridan– Pyrimidine Moieties For Efficient Sky-Blue To Greenish-Blue Oleds, Yi-Zhen Li, Hsuan-Chi Liang, Chia-Hsun Chen, Ching-Huang Chiu, Bo-Yen Lin, Jake A. Tan, Jiun-Haw Lee, Tien-Lung Chiu, Man-Kit Leung Oct 2023

Modification Of Thermally Activated Delayed Fluorescence Emitters Comprising Acridan– Pyrimidine Moieties For Efficient Sky-Blue To Greenish-Blue Oleds, Yi-Zhen Li, Hsuan-Chi Liang, Chia-Hsun Chen, Ching-Huang Chiu, Bo-Yen Lin, Jake A. Tan, Jiun-Haw Lee, Tien-Lung Chiu, Man-Kit Leung

Chemistry Faculty Publications

Thermally activated delayed fluorescence (TADF) is a promising approach to harvest triplet excitons and achieve high-performance organic light-emitting diodes (OLEDs) for displays. In this study, we synthesized two new TADF emitters, 4Ac25CzPy and 4Ac35CzPy, featuring acridan–pyrimidine–carbazole moieties. Remarkably, a slight modification in the carbazole group position enables precise control of luminous color, resulting in emissions at 483 nm and 494 nm for 4Ac25CzPy and 4Ac35CzPy, respectively, in the electroluminescent device. Both compounds exhibit small energy difference between their singlet and triplet states (DEST) of 0.14 eV and 0.15 eV, confirming their TADF characteristics. Notably, OLEDs utilizing 4Ac35CzPy achieve outstanding performance …

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Exploring High School Students’ Careless Or Insufficient Effort Survey Responses When Investigating Attitudes Toward Mathematics, Xiaohui Wang, Mayra Ortiz Galarza, Sergey Grigorian, Aaron T. Wilson, John Knight Oct 2023

Exploring High School Students’ Careless Or Insufficient Effort Survey Responses When Investigating Attitudes Toward Mathematics, Xiaohui Wang, Mayra Ortiz Galarza, Sergey Grigorian, Aaron T. Wilson, John Knight

School of Mathematical & Statistical Sciences Faculty Publications

A modified, bilingual Attitudes Toward Mathematics Inventory (ATMI) instrument was administered to 1,258 high school students in South Texas in an NSF-funded project on informal learning of mathematics and near peer mentoring. We explore students’ survey response behaviors and examine the existence of careless and insufficient effort (CIE) responses. This is empirical research for handling the challenge of CIE responses that leads to improved survey data quality, thus eventually validating the intervention effect of the mathematical informal learning project.

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Wave Energy: Perspective On Applications, Technologies, And Challenges, Muhammad Hajj Oct 2023

Wave Energy: Perspective On Applications, Technologies, And Challenges, Muhammad Hajj

Sustainability Seminar Series

In comparison to solar and wind energy, wave energy is more predictable, and incessant with a global potential of the order of tens of thousands of terawatt-hours per year. Yet, from a readiness perspective, there has not been a prevailing design for wave energy converters for many reasons. Developing the technology requires design of components including the prime mover, foundation or mooring, power take-off, and control systems. In this talk, advances made towards realizing electric power from wave energy will be discussed. A summary of an effort supported by the US Department of Energy and led by researchers at Stevens …

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Smart Sounding Table Using Adaptive Neuro-Fuzzy Inference System, Osman Ünal, Nuri Akkaş Oct 2023

Smart Sounding Table Using Adaptive Neuro-Fuzzy Inference System, Osman Ünal, Nuri Akkaş

Journal of Marine Science and Technology–Taiwan

Marine engineers measure the liquid level (sounding depth) to calculate the volumetric content of a ship's tank. The sounding depth is determined using an ullage pipe located at specific points on the tanks. To estimate the accurate volume of liquid, considering the ship's trim and heel conditions, engineers use a tank table (sounding table) consisting of hundreds of pages. However, this method is time-consuming and lacks intermediate values for sounding depth, trim, and heel. Ship designers recommend to use linear interpolation for intermediate values, yet this process is also time-consuming. This paper proposes the implementation of an Adaptive Neuro-Fuzzy Inference …

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