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Articles 46291 - 46320 of 294596
Full-Text Articles in Physical Sciences and Mathematics
Where Does Mathematics Come From? Really, Where?, Mark Huber, Gizem Karaali
Where Does Mathematics Come From? Really, Where?, Mark Huber, Gizem Karaali
Journal of Humanistic Mathematics
No abstract provided.
Post-Quantum Hermite-Jensen-Mercer Inequalities, Martin Bohner, Hüseyin Budak, Hasan Kara
Post-Quantum Hermite-Jensen-Mercer Inequalities, Martin Bohner, Hüseyin Budak, Hasan Kara
Mathematics and Statistics Faculty Research & Creative Works
The Jensen-Mercer inequality, which is well known in the literature, has an important place in mathematics and related disciplines. In this work, we obtain the Hermite-Jensen-Mercer inequality for post-quantum integrals by utilizing Jensen-Mercer inequalities. Then we investigate the connections between our results and those in earlier works. Moreover, we give some examples to illustrate our main results. This is the first paper about Hermite-Jensen-Mercer inequalities for post-quantum integrals.
Towards Carbon Neutrality: Prediction Of Wave Energy Based On Improved Gru In Maritime Transportation, Zhihan Lv, Nana Wang, Ranran Lou, Yajun Tian, Mohsen Guizani
Towards Carbon Neutrality: Prediction Of Wave Energy Based On Improved Gru In Maritime Transportation, Zhihan Lv, Nana Wang, Ranran Lou, Yajun Tian, Mohsen Guizani
Machine Learning Faculty Publications
Efficient use of renewable energy is one of the critical measures to achieve carbon neutrality. Countries have introduced policies to put carbon neutrality on the agenda to achieve relatively zero emissions of greenhouse gases and to cope with the crisis brought about by global warming. This work analyzes the wave energy with high energy density and wide distribution based on understanding of various renewable energy sources. This study provides a wave energy prediction model for energy harvesting. At the same time, the Gated Recurrent Unit network (GRU), Bayesian optimization algorithm, and attention mechanism are introduced to improve the model's performance. …
Sexual Selection As A Tool To Improve Student Reasoning Of Evolution, Sarah K. Spier, Joseph Dauer
Sexual Selection As A Tool To Improve Student Reasoning Of Evolution, Sarah K. Spier, Joseph Dauer
School of Natural Resources: Faculty Publications
There is an emphasis on survival-based selection in biology education that can allow students to neglect other important evolutionary components, such as sexual selection, reproduction, and inheritance. Student understanding of the role of reproduction in evolution is as important as student understanding of the role of survival. Limiting instruction to survival- based scenarios (e.g., effect of food on Galapagos finch beak shape) may not provide students with enough context to guide them to complete evolutionary reasoning. Different selection forces can work in concert or oppose one another, and sexual selection can lead to the selection of trait variants that are …
Uncertaintyfusenet: Robust Uncertainty-Aware Hierarchical Feature Fusion Model With Ensemble Monte Carlo Dropout For Covid-19 Detection, Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhreddine (Fakhri) Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi
Uncertaintyfusenet: Robust Uncertainty-Aware Hierarchical Feature Fusion Model With Ensemble Monte Carlo Dropout For Covid-19 Detection, Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhreddine (Fakhri) Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi
Machine Learning Faculty Publications
The COVID-19 (Coronavirus disease 2019) pandemic has become a major global threat to human health and well-being Thus, the development of computer-aided detection (CAD) systems that are capable to accurately distinguish COVID-19 from other diseases using chest computed tomography (CT) and X-ray data is of immediate priority Such automatic systems are usually based on traditional machine learning or deep learning methods Differently from most of existing studies, which used either CT scan or X-ray images in COVID-19-case classification, we present a simple but efficient deep learning feature fusion model, called UncertaintyFuseNet, which is able to classify accurately large datasets of …
Constituent Loads And Trends In The Upper White River Basin: A Nonpoint Source Management Program Priority Watersheds, Erin M. Grantz, Brian E. Haggard
Constituent Loads And Trends In The Upper White River Basin: A Nonpoint Source Management Program Priority Watersheds, Erin M. Grantz, Brian E. Haggard
Arkansas Water Resources Center Technical Reports
The Arkansas Department of Agriculture – Natural Resources Division (ANRD) has identified the Upper White River Basin (UWRB; HUC 11010001) a hydrologic unit code (HUC) 8 watersheds, located in Northwest Arkansas, for prioritization by the Nonpoint Source (NPS) Management Program. UWRB includes Beaver Lake in its borders, the drinking water source for 1 in 6 Arkansans. Nonpoint source pollution concerns in these watersheds are excess nutrients from agriculture and sediment from changes in land use/land cover (LULC).
Local, state, and national groups, including the NPS Source Management Program, have invested in education, best management practices, and streambank restoration in the …
Constituent Loads And Trends In The Upper Illinois River Watershed: A Nonpoint Source Management Program Priority Watershed, Erin M. Grantz, Brian E. Haggard
Constituent Loads And Trends In The Upper Illinois River Watershed: A Nonpoint Source Management Program Priority Watershed, Erin M. Grantz, Brian E. Haggard
Arkansas Water Resources Center Technical Reports
The Arkansas Department of Agriculture - Natural Resources Division (ANRD) has identified the Upper Illinois River Watershed (UIRW; 11110103), a hydrologic unit code (HUC) 8 watershed, located in Northwest Arkansas for prioritization by the Nonpoint Source (NPS) Management Program. URIW encompasses the Illinois River from its headwaters to the state line with Oklahoma and has been the subject of interstate disputes over water quality for decades. Nonpoint source pollution concerns in UIRW are excess nutrients from agriculture and sediment from changes in land use/land cover (LULC).
Local, state, and national groups, including the NPS Source Management Program, have invested in …
Success (Studying Underlying Characteristics Of Computing And Engineering Student Success) Survey: Non-Cognitive And Affective Profiles In Engineering And Computing Students At Utep (2018-2022), Sanga Kim, Christian Teran Lopez, Andres Segura, Gabriel Miki
Success (Studying Underlying Characteristics Of Computing And Engineering Student Success) Survey: Non-Cognitive And Affective Profiles In Engineering And Computing Students At Utep (2018-2022), Sanga Kim, Christian Teran Lopez, Andres Segura, Gabriel Miki
Departmental Technical Reports (CS)
No abstract provided.
Animal Welfare - Environment - Sustainable Development Nexus: Scoping Study, Janice H. Cox
Animal Welfare - Environment - Sustainable Development Nexus: Scoping Study, Janice H. Cox
Nexus – UNEP – Animal Welfare, Environment, Sustainable Development
A detailed report on the links between animal welfare, environmental health and global sustainability. Issues discussed include climate change, biodiversity, pollution and waste management, one health, sustainable development and just transitions.
Nonharmonic Contributions To The High-Temperature Phonon Thermodynamics Of Cr, C. M. Bernal-Choban, Hillary L. Smith, C. N. Saunders, D. S. Kim, D. L. Abernathy, B. Fultz
Nonharmonic Contributions To The High-Temperature Phonon Thermodynamics Of Cr, C. M. Bernal-Choban, Hillary L. Smith, C. N. Saunders, D. S. Kim, D. L. Abernathy, B. Fultz
Physics & Astronomy Faculty Works
Phonon densities of states (DOSs) of body-centered cubic chromium were measured by time-of-flight inelastic neutron scattering at temperatures up to 1493 K. Density functional theory calculations with both quasiharmonic (QH) and anharmonic (AH) methods were performed at temperatures above the Néel temperature. Features in the phonon DOSs decrease in energy (soften) substantially with temperature. A Born–von Kármán analysis using fits to the experimental DOSs reveals a softening of almost 17% of the high-transverse phonon branch between 330 and 1493 K. The low-transverse branch changes by approximately half this amount. The AH calculations capture the observed behavior of the two transverse …
Galfit-Ing Agn Host Galaxies In Cosmos: Hst Versus Subaru, Callum Dewsnap, Pauline Barmby, Sarah C. Gallagher, C. Megan Urry, Aritra Ghosh, Meredith C. Powell
Galfit-Ing Agn Host Galaxies In Cosmos: Hst Versus Subaru, Callum Dewsnap, Pauline Barmby, Sarah C. Gallagher, C. Megan Urry, Aritra Ghosh, Meredith C. Powell
Physics and Astronomy Publications
The COSMOS field has been extensively observed by most major telescopes, including Chandra, HST, and Subaru. HST imaging boasts very high spatial resolution and is used extensively in morphological studies of distant galaxies. Subaru provides lower spatial resolution imaging than HST but a substantially wider field of view with greater sensitivity. Both telescopes provide near-infrared imaging of COSMOS. Successful morphological fitting of Subaru data would allow us to measure morphologies of over 104 known active galactic nucleus (AGN) hosts, accessible through Subaru wide-field surveys, currently not covered by HST. The morphological parameters indicate the types of galaxies that host AGNs. …
Translation Of: Familles De Surfaces Isoparamétriques Dans Les Espaces À Courbure Constante, Annali Di Mat. 17 (1938), 177–191, By Élie Cartan., Thomas E. Cecil
Translation Of: Familles De Surfaces Isoparamétriques Dans Les Espaces À Courbure Constante, Annali Di Mat. 17 (1938), 177–191, By Élie Cartan., Thomas E. Cecil
Mathematics and Computer Science Department Faculty Scholarship
English title: Families of isoparametric surfaces in spaces of constant curvature
This is an English translation of the article "Familles de surfaces isoparamétriques dans les espaces à courbure constante" which was originally published in Annali di Matematica 17, 177–191 (1938), by Élie Cartan.
A note from Thomas E. Cecil, translator: This is an unofficial translation of the original paper which was written in French. All references should be made to the original paper.
Mathematics Subject Classification Numbers: 53C40, 53C42, 53B25
From The Organismal To Biosphere Levels: Environmental Impacts On The Amphibian Microbiota, Obed Hernandez-Gomez, Jessica Hua
From The Organismal To Biosphere Levels: Environmental Impacts On The Amphibian Microbiota, Obed Hernandez-Gomez, Jessica Hua
Natural Sciences and Mathematics | Faculty Scholarship
This review summarizes the role of environmental factors on amphibian microbiotas at the organismal, population, community, ecosystem, and biosphere levels. At the organismal-level, tissue source, disease status, and experimental manipulations were the strongest predictors of variation in amphibian microbiotas. At the population-level, habitat quality, disease status, and ancestry were commonly documented as drivers of microbiota turnover. At the community-level, studies focused on how species’ niche influence microbiota structure and function. At the ecosystem-level, abiotic and biotic reservoirs were important contributors to microbiota structure. At the biosphere-level, databases, sample banks, and semi-natural experiments were commonly used to describe microbiota assembly mechanisms …
International Advisory Proceedings On Climate Change, Benoit Mayer
International Advisory Proceedings On Climate Change, Benoit Mayer
Michigan Journal of International Law
Several island states are expected to be severely harmed by climate change and rising sea levels. In late 2021, several island states launched two legal initiatives aimed at requesting advisory opinions of international courts on the law applicable to climate change. In the hope of fostering more action to combat climate change, these states are asking international courts to clarify the obligations of states to cut greenhouse gas emissions and pay reparations for harm already caused.
This article provides the first comprehensive assessment of the feasibility and desirability of international advisory proceedings on climate change. It analyzes recent developments and …
Higher Concentrations Of Microplastics In Runoff From Biosolid-Amended Croplands Than Manure-Amended Croplands, Nasrin Naderi Beni, Shahab Karimifard, John Gilley, Tiffany L. Messer, Amy Schmidt, Shannon Bartelt-Hunt
Higher Concentrations Of Microplastics In Runoff From Biosolid-Amended Croplands Than Manure-Amended Croplands, Nasrin Naderi Beni, Shahab Karimifard, John Gilley, Tiffany L. Messer, Amy Schmidt, Shannon Bartelt-Hunt
UK CARES Faculty Publications
Land-applied municipal biosolids, produced from municipal wastewater treatment sludge, contributes to microplastics contamination in agroecosystems. The impacts of biosolids on microplastic concentrations in agricultural soil have been previously investigated, however, the potential for microplastics transport from biosolid-amended croplands has not been previously quantified. In this study, manure and biosolids were applied to field plots, runoff was collected following natural precipitation events and the potential of bacterial biofilm to grow on different microplastic morphologies was investigated. Higher concentrations of microplastics were detected in runoff from plots with land-applied biosolid in comparison with manure-amended and control plots. Fibers and fragments were the …
Pore Connectivity Influences Mass Transport In Natural Rocks: Pore Structure, Gas Diffusion And Batch Sorption Studies, Qinhong Hu
Earth & Environmental Sciences Datasets - Archive
The Excel file contains supplementary dataset, in various sheets, for a manuscript entitled "Pore connectivity influences mass transport in natural rocks: Pore structure, gas diffusion and batch sorption studies" The Word file of "Data Dictonary" briefly explained the data in each sheet of the Excel file, from different measurements as detailed in the manuscript. Authors: Xiaoqing Yuan, Qinhong Hu ([email protected]), Xiang Lin, Chen Zhao, Qiming Wang, Yukio Tachi, Yuta Fukatsu, Shoichiro Hamamoto, Marja Siitari-Kauppia, and Xiaodong Li
A Decade Of Linear And Circular Polarimetry With The Polish2 Polarimeter, Sloane J. Wiktorowicz, Agnieszka Słowikowska, Larissa A. Nofi, Nicole Rider, Angie Wolfgang, Ninos Hermis, Daniel Jontof-Hutter, Amanda J. Bayless, Gary M. Cole, Kirk B. Crawford, Valeri V. Tsarev, Michael C. Owens, Ernest G. Jaramillo, Geoffrey A. Maul, James R. Graham, Maxwell A. Millar-Blanchaer, Kimberly Bott, Jon C. Mauerhan
A Decade Of Linear And Circular Polarimetry With The Polish2 Polarimeter, Sloane J. Wiktorowicz, Agnieszka Słowikowska, Larissa A. Nofi, Nicole Rider, Angie Wolfgang, Ninos Hermis, Daniel Jontof-Hutter, Amanda J. Bayless, Gary M. Cole, Kirk B. Crawford, Valeri V. Tsarev, Michael C. Owens, Ernest G. Jaramillo, Geoffrey A. Maul, James R. Graham, Maxwell A. Millar-Blanchaer, Kimberly Bott, Jon C. Mauerhan
Pacific Faculty Work
The POLISH2 optical polarimeter has been in operation at the Lick Observatory 3 m Shane telescope since 2011, and it was commissioned at the Gemini North 8 m in 2016. This instrument primarily targets exoplanets, asteroids, and the Crab Pulsar, but it has also been used for a wide variety of planetary, galactic, and supernova science. POLISH2's photoelastic modulators, employed instead of rotating wave plates or ferroelectric liquid crystal modulators, offer the unprecedented ability to achieve sensitivity and accuracy of order 1 ppm (0.0001%), which are difficult to obtain with conventional polarimeters. Additionally, POLISH2 simultaneously measures the intensity (Stokes I), …
Process Intensification Strategies For Green Solvent Mediated Biomass Pretreatment, Ahamed Ullah, Yuxuan Zhang, Can Liu, Qi Qiao, Qing Shao, Jian Shi
Process Intensification Strategies For Green Solvent Mediated Biomass Pretreatment, Ahamed Ullah, Yuxuan Zhang, Can Liu, Qi Qiao, Qing Shao, Jian Shi
Markey Cancer Center Faculty Publications
Demonstrated to be highly effective for lignocellulosic biomass pretreatment, deep eutectic solvent (DES) has attracted increasing attention owing to its advantages of simple synthesis, relatively low chemical cost, and better biocompatibility as compared to certain ionic liquids. Here we provide a critical review of the status of the design/selection of DES for the pretreatment of biomass feedstocks with an emphasis on the process intensification strategies: 1) integration of microwave, ultrasound, and high solid extrusion for pretreating biomass, 2) one-pot DES pretreatment, enzymatic hydrolysis, and fermentation, 3) strategies for DES recycling and product recovery; and 4) recent progress on molecular simulations …
Dissolved Organic Phosphorus Removal In Secondary Effluent By Ferrate (Vi): Performance And Mechanism, Lei Zheng, Panpan Gao, Yali Song, Hua Wang, Yang Deng
Dissolved Organic Phosphorus Removal In Secondary Effluent By Ferrate (Vi): Performance And Mechanism, Lei Zheng, Panpan Gao, Yali Song, Hua Wang, Yang Deng
Department of Earth and Environmental Studies Faculty Scholarship and Creative Works
Dissolved organic phosphorus (DOP), which is recalcitrant in municipal wastewater treatment, accounts for 26–81% of dissolved total phosphorus in the effluent. More importantly, the majority of DOP could be bioavailable, potentially threatening the aquatic environment through eutrophication. This study aimed to develop a ferrate (VI)-based advanced treatment to effectively destruct and remove DOP from secondary effluent and use deoxyribonucleic acid (DNA) and adenosine-5’-triphosphate (ATP) as DOP model compounds to explore the relevant mechanisms. The results showed that ferrate (VI) treatment could efficiently destruct and remove 75% of the DOP in secondary effluent from an activated sludge-adopted municipal wastewater treatment plant, …
Sustainable And Organic Beekeeping In Chester County, John Pisciotta
Sustainable And Organic Beekeeping In Chester County, John Pisciotta
Sustainability Research & Practice Seminar Presentations
Professor John Pisciotta, Biology - Sustainable and Organic Beekeeping in Chester County
Dynamic Mass Loss From Greenland's Marine-Terminating Peripheral Glaciers (1985–2018), Katherine E. Bollen, Ellyn M. Enderlin, Rebecca Muhlheim
Dynamic Mass Loss From Greenland's Marine-Terminating Peripheral Glaciers (1985–2018), Katherine E. Bollen, Ellyn M. Enderlin, Rebecca Muhlheim
Geosciences Faculty Publications and Presentations
Global glacier mass balance decreased rapidly over the last two decades, exceeding mass loss from the Greenland and Antarctic Ice Sheets. In Greenland, peripheral glaciers and ice caps (GICs) cover only ~5% of Greenland's area but contributed ~20% of the island's ice mass loss between 2000 and 2018. Although Greenland GIC mass loss due to surface meltwater runoff has been estimated using atmospheric models, mass lost to changes in ice discharge into oceans (i.e., dynamic mass loss) remains unquantified. We use the flux gate method to estimate discharge from Greenland's 585 marine-terminating peripheral glaciers between 1985 and 2018, and compute …
Lidar And Deep Learning Reveal Forest Structural Controls On Snowpack, Ahmad Hojatimalekshah, Joel Gongora, Josh Enterkine, Nancy F. Glenn, T. Trevor Caughlin, Hans-Peter Marshall, Christopher A. Hiemstra
Lidar And Deep Learning Reveal Forest Structural Controls On Snowpack, Ahmad Hojatimalekshah, Joel Gongora, Josh Enterkine, Nancy F. Glenn, T. Trevor Caughlin, Hans-Peter Marshall, Christopher A. Hiemstra
Geosciences Faculty Publications and Presentations
Forest structure has a strong relationship with abiotic components of the environment. For example, canopy morphology controls snow depth through interception and modifies incoming thermal radiation. In turn, snow water availability affects forest growth, carbon sequestration, and nutrient cycling. We investigated how structural diversity and topography affect snow depth patterns across scales. The study site, Grand Mesa, Colorado, is representative of many areas worldwide where declining snowpack and its consequences for forest ecosystems are increasingly an environmental concern. On the basis of a convolution neural network model (R2 of 0.64; root mean squared error of 0.13 m), we …
2023 February - Tennessee Monthly Climate Report, Tennessee Climate Office, East Tennessee State University
2023 February - Tennessee Monthly Climate Report, Tennessee Climate Office, East Tennessee State University
Tennessee Climate Office Monthly Reports
No abstract provided.
2022 Kentucky River Watershed Watch Annual Report, Steven J. Evans, Malissa Mcalister
2022 Kentucky River Watershed Watch Annual Report, Steven J. Evans, Malissa Mcalister
Kentucky River Watershed Watch
No abstract provided.
Working With (Not Against) The Technology: Gpt3 And Artificial Intelligence (Ai) In College Composition, James Hutson, Daniel Plate
Working With (Not Against) The Technology: Gpt3 And Artificial Intelligence (Ai) In College Composition, James Hutson, Daniel Plate
Faculty Scholarship
The use of artificial intelligence (AI) for improvement of writing is commonplace with word-processing software and cloudbased writing assistants such as Grammarly and Microsoft Word. However, more and more options are cropping up that move beyond assistance with grammar, spelling, and punctuation to complete essay generation. The free availability of AI essay generators has led to lamenting the coming death of college writing. But AI has been used in the previously noted examples for decades without such a reaction. In fact, the idea that the use of essay generating software is synonymous with academic dishonesty is as passé as worries …
Selectively Modified Lactose And N-Acetyllactosamine Analogs At Three Key Positions To Afford Effective Galectin-3 Ligands †, Shuay Abdullayev, Priyanka Dipak Kadav, Purnima Bandyopadhyay, Francisco Javier Medrano, Gabriel A. Rabinovich, Tarun K. Dam, Antonio Romero, René Roy
Selectively Modified Lactose And N-Acetyllactosamine Analogs At Three Key Positions To Afford Effective Galectin-3 Ligands †, Shuay Abdullayev, Priyanka Dipak Kadav, Purnima Bandyopadhyay, Francisco Javier Medrano, Gabriel A. Rabinovich, Tarun K. Dam, Antonio Romero, René Roy
Michigan Tech Publications, Part 1
Galectins constitute a family of galactose-binding lectins overly expressed in the tumor microenvironment as well as in innate and adaptive immune cells, in inflammatory diseases. Lactose ((β-D-galactopyranosyl)-(1→4)-β-D-glucopyranose, Lac) and N-Acetyllactosamine (2-acetamido-2-deoxy-4-O-β-D-galactopyranosyl-D-glucopyranose, LacNAc) have been widely exploited as ligands for a wide range of galectins, sometimes with modest selectivity. Even though several chemical modifications at single positions of the sugar rings have been applied to these ligands, very few examples combined the simultaneous modifications at key positions known to increase both affinity and selectivity. We report herein combined modifications at the anomeric position, C-2, and O-3′ of each of the two …
A Catalog Of The Highest-Energy Cosmic Rays Recorded During Phase I Of Operation Of The Pierre Auger Observatory, A. Abdul Halim, P. Abreu, M. Aglietta, I. Allekotte, P. Allison, K. Almeida Cheminant, J. Chirinos, B. Fick, D. Nitz, I. Norwood, A. Puyleart, Et Al.
A Catalog Of The Highest-Energy Cosmic Rays Recorded During Phase I Of Operation Of The Pierre Auger Observatory, A. Abdul Halim, P. Abreu, M. Aglietta, I. Allekotte, P. Allison, K. Almeida Cheminant, J. Chirinos, B. Fick, D. Nitz, I. Norwood, A. Puyleart, Et Al.
Michigan Tech Publications, Part 1
A catalog containing details of the highest-energy cosmic rays recorded through the detection of extensive air showers at the Pierre Auger Observatory is presented with the aim of opening the data to detailed examination. Descriptions of the 100 showers created by the highest-energy particles recorded between 2004 January 1 and 2020 December 31 are given for cosmic rays that have energies in the range 78-166 EeV. Details are also given on a further nine very energetic events that have been used in the calibration procedure adopted to determine the energy of each primary. A sky plot of the arrival directions …
The Giant Accreting Protoplanet Survey (Gaplanets): Optimization Techniques For Robust Detections Of Protoplanets, Jéa I. Adams Redai, Katherine B. Follette, Jason Wang, Clare Leonard, William Balmer, Laird M. Close, Beck Dacus, Jared R. Males, Katie M. Morzinski, Joseph Palmo, Laurent Pueyo, Elijah Spiro, Helena Treiber, Kimberly Ward-Duong, Alex Watson
The Giant Accreting Protoplanet Survey (Gaplanets): Optimization Techniques For Robust Detections Of Protoplanets, Jéa I. Adams Redai, Katherine B. Follette, Jason Wang, Clare Leonard, William Balmer, Laird M. Close, Beck Dacus, Jared R. Males, Katie M. Morzinski, Joseph Palmo, Laurent Pueyo, Elijah Spiro, Helena Treiber, Kimberly Ward-Duong, Alex Watson
Astronomy: Faculty Publications
High-contrast imaging has afforded astronomers the opportunity to study light directly emitted by adolescent (tens of megayears) and “proto” (<10 >Myr) planets still undergoing formation. Direct detection of these planets is enabled by empirical point-spread function (PSF) modeling and removal algorithms. The computational intensity of such algorithms, as well as their multiplicity of tunable input parameters, has led to the prevalence of ad hoc optimization approaches to high-contrast imaging results. In this work, we present a new, systematic approach to optimization vetted using data of the high-contrast stellar companion HD 142527 B from the Magellan Adaptive Optics Giant Accreting Protoplanet …10>
Engineering A Scalable Deep K-Means Algorithm On Spark And Tensorflow, Skyler Thompson
Engineering A Scalable Deep K-Means Algorithm On Spark And Tensorflow, Skyler Thompson
Theses and Dissertations
Due to modern data collection practices, datasets can be both high dimensional and very large in size. With the production of these large, high dimensional datasets comes the task of analyzing them. Deep neural networks are often applied to high dimensional datasets in a supervised manner where a network is trained using labeled datasets and then applied to other, similar datasets. However, labeled datasets are often expensive to produce and are not always available for training purposes in all scenarios. For unlabeled datasets, unsupervised learning using data clustering is often the learning method of choice. Deep clustering is a relatively …