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Articles 40501 - 40530 of 302431
Full-Text Articles in Physical Sciences and Mathematics
Gdpr, Pipl & Lgpd: Privacy Regulations & Policies Across The Globe, Raymond H. Geistel
Gdpr, Pipl & Lgpd: Privacy Regulations & Policies Across The Globe, Raymond H. Geistel
Cybersecurity Undergraduate Research Showcase
Several privacy laws around the world are adopting similar regulations to the GPDR; this has effects on privacy policies of companies providing services in across multiple countries & continents. While these regulations share many attributes, their differing requirements can make things difficult for companies regarding said policies. Automation could be a potential solution to both analyze and compare regulations from different nations & international organizations, analyze and monitor privacy policy adherence to said regulations.
Do Firms Respond To Peer Disclosures? Evidence From Clinical Trial Disclosures, Vedran Capkun, Yun Lou, Clemens A. Otto, Yin Wang
Do Firms Respond To Peer Disclosures? Evidence From Clinical Trial Disclosures, Vedran Capkun, Yun Lou, Clemens A. Otto, Yin Wang
Research Collection School Of Accountancy
We examine whether a firm’s decision to disclose non-financial proprietary information depends on peer disclosures of similar information. Using a sample of 5,035 unique clinical trials by U.S. pharmaceutical firms over the 2007-2014 period, we find that the firm is less likely to disclose its own clinical trial results if peers have published clinical trial results pertaining to the same medical condition. Conditional on disclosing clinical trial results, the firm is also less likely to disclose the trial results on time when peers have disclosed their clinical trial results. Our cross-sectional tests suggest that proprietary costs of disclosure play an …
In Situ Determination Of Dry And Wet Snow Permittivity: Improving Equations For Low Frequency Radar Applications, Ryan Webb, Adrian Marziliano, Daniel Mcgrath, Randall Bonnell, Tate G. Meehan, Carrie Vuyovich, Hans-Peter Marshall
In Situ Determination Of Dry And Wet Snow Permittivity: Improving Equations For Low Frequency Radar Applications, Ryan Webb, Adrian Marziliano, Daniel Mcgrath, Randall Bonnell, Tate G. Meehan, Carrie Vuyovich, Hans-Peter Marshall
Geosciences Faculty Publications and Presentations
Extensive efforts have been made to observe the accumulation and melting of seasonal snow. However, making accurate observations of snow water equivalent (SWE) at global scales is challenging. Active radar systems show promise, provided the dielectric properties of the snowpack are accurately constrained. The dielectric constant (k) determines the velocity of a radar wave through snow, which is a critical component of time-of-flight radar techniques such as ground penetrating radar and interferometric synthetic aperture radar (InSAR). However, equations used to estimate k have been validated only for specific conditions with limited in situ validation for seasonal snow applications. …
Bisindolylmaleimide Ix: A Novel Anti-Sars-Cov2 Agent Targeting Viral Main Protease 3clpro Demonstrated By Virtual Screening Pipeline And In-Vitro Validation Assays, Yash Gupta, Dawid Maciorowski, Samantha E. Zak, Krysten A. Jones, Rahul S. Kathayat, Saara-Anne Azizi, Raman Mathur, Catherine M. Pearce, David J. Ilc, Hamza Husein, Andrew S. Herbert, Ajay Bharti, Brijesh Rathi, Ravi Durvasula, Daniel P. Becker, Bryan C. Dickinson, John M. Dye, Prakasha Kempaiah
Bisindolylmaleimide Ix: A Novel Anti-Sars-Cov2 Agent Targeting Viral Main Protease 3clpro Demonstrated By Virtual Screening Pipeline And In-Vitro Validation Assays, Yash Gupta, Dawid Maciorowski, Samantha E. Zak, Krysten A. Jones, Rahul S. Kathayat, Saara-Anne Azizi, Raman Mathur, Catherine M. Pearce, David J. Ilc, Hamza Husein, Andrew S. Herbert, Ajay Bharti, Brijesh Rathi, Ravi Durvasula, Daniel P. Becker, Bryan C. Dickinson, John M. Dye, Prakasha Kempaiah
Chemistry: Faculty Publications and Other Works
SARS-CoV-2, the virus that causes COVID-19 consists of several enzymes with essential functions within its proteome. Here, we focused on repurposing approved and investigational drugs/compounds. We targeted seven proteins with enzymatic activities known to be essential at different stages of the viral cycle including PLpro, 3CLpro, RdRP, Helicase, ExoN, NendoU, and 2′-O-MT. For virtual screening, energy minimization of a crystal structure of the modeled protein was carried out using the Protein Preparation Wizard (Schrodinger LLC 2020-1). Following active site selection based on data mining and COACH predictions, we performed a high-throughput virtual screen of drugs and investigational molecules (n = …
How Secure Are Android And Apple’S Operating Systems And Based Applications Against Cyber Attacks And Cyber Crime, Marlowe Cosby Jr.
How Secure Are Android And Apple’S Operating Systems And Based Applications Against Cyber Attacks And Cyber Crime, Marlowe Cosby Jr.
Cybersecurity Undergraduate Research Showcase
Smartphone has become an important part of our everyday life. Android and apple are the two most used operating system (OS) for smart phones. We usually store important information in our smart phone, e.g.: credit card, bank account, driving ID, SSN. As a result, Android and Apple operating systems and applications have both been subject to a wide number of vulnerabilities and attacks. This directly effects many people being that they are the global leaders of users within their platforms reaching billions of people daily. It is important that smartphones receive better defense and security. In this paper, we aim …
Disentangling Diverse Responses To Climate Change Among Global Marine Ecosystem Models, Ryan F. Heneghan, Eric Galbraith, Julia L. Blanchard, Cheryl S. Harrison, Nicolas Barrier, Catherine Bulman, William Cheung, Marta Coli, Tyler D. Eddy, Maite Erauskin-Extramiana
Disentangling Diverse Responses To Climate Change Among Global Marine Ecosystem Models, Ryan F. Heneghan, Eric Galbraith, Julia L. Blanchard, Cheryl S. Harrison, Nicolas Barrier, Catherine Bulman, William Cheung, Marta Coli, Tyler D. Eddy, Maite Erauskin-Extramiana
School of Earth, Environmental, and Marine Sciences Faculty Publications and Presentations
Climate change is warming the ocean and impacting lower trophic level (LTL) organisms. Marine ecosystem models can provide estimates of how these changes will propagate to larger animals and impact societal services such as fisheries, but at present these estimates vary widely. A better understanding of what drives this inter-model variation will improve our ability to project fisheries and other ecosystem services into the future, while also helping to identify uncertainties in process understanding. Here, we explore the mechanisms that underlie the diversity of responses to changes in temperature and LTLs in eight global marine ecosystem models from the Fisheries …
Next-Generation Ensemble Projections Reveal Higher Climate Risks For Marine Ecosystems, Derek P. Tittensor, Camilla Novaglio, Cheryl S. Harrison, Ryan F. Heneghan, Nicolas Barrier, Daniele Bianchi, Laurent Bopp, Andrea Bryndum-Buchholz, Gregory L. Britten, Matthias Büchner
Next-Generation Ensemble Projections Reveal Higher Climate Risks For Marine Ecosystems, Derek P. Tittensor, Camilla Novaglio, Cheryl S. Harrison, Ryan F. Heneghan, Nicolas Barrier, Daniele Bianchi, Laurent Bopp, Andrea Bryndum-Buchholz, Gregory L. Britten, Matthias Büchner
School of Earth, Environmental, and Marine Sciences Faculty Publications and Presentations
Projections of climate change impacts on marine ecosystems have revealed long-term declines in global marine animal biomass and unevenly distributed impacts on fisheries. Here we apply an enhanced suite of global marine ecosystem models from the Fisheries and Marine Ecosystem Model Intercomparison Project (Fish-MIP), forced by new-generation Earth system model outputs from Phase 6 of the Coupled Model Intercomparison Project (CMIP6), to provide insights into how projected climate change will affect future ocean ecosystems. Compared with the previous generation CMIP5-forced Fish-MIP ensemble, the new ensemble ecosystem simulations show a greater decline in mean global ocean animal biomass under both strong-mitigation …
Constraints From Ligo O3 Data On Gravitational-Wave Emission Due To R-Modes In The Glitching Pulsar Psr J0537–6910, R. Abbott, T. D. Abbott, S. Abraham, F. Acernese, K. Ackley, Teviet Creighton, Mario C. Diaz, Soma Mukherjee, Volker Quetschke, Karla E. Ramirez, Wenhui Wang
Constraints From Ligo O3 Data On Gravitational-Wave Emission Due To R-Modes In The Glitching Pulsar Psr J0537–6910, R. Abbott, T. D. Abbott, S. Abraham, F. Acernese, K. Ackley, Teviet Creighton, Mario C. Diaz, Soma Mukherjee, Volker Quetschke, Karla E. Ramirez, Wenhui Wang
Physics and Astronomy Faculty Publications and Presentations
We present a search for continuous gravitational-wave emission due to r-modes in the pulsar PSR J0537-6910 using data from the LIGO-Virgo Collaboration observing run O3. PSR J0537-6910 is a young energetic X-ray pulsar and is the most frequent glitcher known. The inter-glitch braking index of the pulsar suggests that gravitational-wave emission due to r-mode oscillations may play an important role in the spin evolution of this pulsar. Theoretical models confirm this possibility and predict emission at a level that can be probed by ground-based detectors. In order to explore this scenario, we search for r-mode emission in the epochs between …
College Of Natural Sciences Scholarship Brunch Program, November 6th 2021, College Of Natural Sciences
College Of Natural Sciences Scholarship Brunch Program, November 6th 2021, College Of Natural Sciences
College of Natural Sciences Newsletters and Reports
This is the program for the first annual College of Natural Sciences Scholarship Brunch, held on November 6th, 2021 at McCrory Gardens.
Fingerlings Mass Estimation: A Comparison Between Deep And Shallow Learning Algorithms, Adair Da Silva Oliveira Junior, Diego André Sant’Ana, Marcio Carneiro Brito Pache, Vanir Garcia, Vanessa Aparecida De Moares Weber, Gilberto Astolfi, Fabricio De Lima Weber, Geazy Vilharva Menezes, Gabriel Kirsten Menezes, Pedro Lucas França Albuquerque, Celso Soares Costa, Eduardo Quirino Arguelho De Queiroz, João Victor Araújo Rozales, Milena Wolff Ferreira, Marco Hiroshi Naka, Hemerson Pistori
Fingerlings Mass Estimation: A Comparison Between Deep And Shallow Learning Algorithms, Adair Da Silva Oliveira Junior, Diego André Sant’Ana, Marcio Carneiro Brito Pache, Vanir Garcia, Vanessa Aparecida De Moares Weber, Gilberto Astolfi, Fabricio De Lima Weber, Geazy Vilharva Menezes, Gabriel Kirsten Menezes, Pedro Lucas França Albuquerque, Celso Soares Costa, Eduardo Quirino Arguelho De Queiroz, João Victor Araújo Rozales, Milena Wolff Ferreira, Marco Hiroshi Naka, Hemerson Pistori
School of Computing: Faculty Publications
The paper presents some results regarding the automatic mass estimation of Pintado Real fingerlings, using machine learning techniques to support the fish production process. For this purpose, an image dataset called FISHCV1206FSEG, was created which is composed of 1206 images of fingerlings with their respective annotated masses. Through the fish contours, the area and perimeter were extracted, and submitted to the J48, SVM, and KNN classification algorithms and a linear regression algorithm. The images were also submitted to ResNet50, In- ceptionV3, Exception, VGG16, and VGG19 convolutional neural networks. As a result, the classification algorithm J48 reached an accuracy of 58.2% …
Estimated Amounts And Rates Of Carbon Mobilized By Landsliding In Old-Growth Temperate Forests Of Se Alaska, Bryce A. Vascik, Adam M. Booth, Brian Buma, Matteo Berti
Estimated Amounts And Rates Of Carbon Mobilized By Landsliding In Old-Growth Temperate Forests Of Se Alaska, Bryce A. Vascik, Adam M. Booth, Brian Buma, Matteo Berti
Geology Faculty Publications and Presentations
Landslides, a forest disturbance, mobilize carbon (C) sequestered in vegetation and soils. Mobilized C is deposited either onto hillslopes or into the water, sequestering C from and releasing C to the atmosphere at different time scales. The C-dense old-growth temperate forests of SE Alaska are a unique location to quantify C mobilization rate by frequent landslides that often evolve into saturated moving masses known as debris flows. In this study, the amount of C mobilized by debris flows over historic time scales was estimated by combining a landslide inventory with maps of modeled biomass and soil carbon. We analyzed SE …
System Identification Through Lipschitz Regularized Deep Neural Networks, Elisa Negrini, Giovanna Citti, Luca Capogna
System Identification Through Lipschitz Regularized Deep Neural Networks, Elisa Negrini, Giovanna Citti, Luca Capogna
Mathematics Sciences: Faculty Publications
In this paper we use neural networks to learn governing equations from data. Specifically we reconstruct the right-hand side of a system of ODEs x˙(t)=f(t,x(t)) directly from observed uniformly time-sampled data using a neural network. In contrast with other neural network-based approaches to this problem, we add a Lipschitz regularization term to our loss function. In the synthetic examples we observed empirically that this regularization results in a smoother approximating function and better generalization properties when compared with non-regularized models, both on trajectory and non-trajectory data, especially in presence of noise. In contrast with sparse regression approaches, since neural networks …
Ultrasound Regulated Flexible Protein Materials: Fabrication, Structure And Physical-Biological Properties., Bowen Cai, Hanling Gu, Fang Wang, Kyle Printon, Zhenggui Gu, Xiao Hu
Ultrasound Regulated Flexible Protein Materials: Fabrication, Structure And Physical-Biological Properties., Bowen Cai, Hanling Gu, Fang Wang, Kyle Printon, Zhenggui Gu, Xiao Hu
College of Science & Mathematics Departmental Research
Ultrasound can be used in the biomaterial field due to its high efficiency, easy operation, no chemical treatment, repeatability and high level of control. In this work, we demonstrated that ultrasound is able to quickly regulate protein structure at the solution assembly stage to obtain the designed properties of protein-based materials. Silk fibroin proteins dissolved in a formic acid-CaCl solution system were treated in an ultrasound with varying times and powers. By altering these variables, the silks physical properties and structures can be fine-tuned and the results were investigated with Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), scanning electron …
Molecular Mechanisms Underlying Enhanced Hemichannel Function Of A Cataract-Associated Cx50 Mutant, Jun-Jie Tong, Umair Khan, Bassam George Haddad, Peter J. Minogue, Eric C. Beyer, Vivian M. Berthoud, Steve L. Reichow, Lisa Ebihra
Molecular Mechanisms Underlying Enhanced Hemichannel Function Of A Cataract-Associated Cx50 Mutant, Jun-Jie Tong, Umair Khan, Bassam George Haddad, Peter J. Minogue, Eric C. Beyer, Vivian M. Berthoud, Steve L. Reichow, Lisa Ebihra
Chemistry Faculty Publications and Presentations
Connexin-50 (Cx50) is among the most frequently mutated genes associated with congenital cataracts. Although most of these disease-linked variants cause loss of function because of misfolding or aberrant trafficking, others directly alter channel properties. The mechanistic bases for such functional defects are mostly unknown. We investigated the functional and structural properties of a cataract-linked mutant, Cx50T39R (T39R), in the Xenopus oocyte system. T39R exhibited greatly enhanced hemichannel currents with altered voltage-gating properties compared to Cx50 and induced cell death. Coexpression of mutant T39R with wild-type Cx50 (to mimic the heterozygous state) resulted in hemichannel currents whose properties were indistinguishable from …
Cuts: Scaling Subgraph Isomorphism On Distributed Multi-Gpu Systems Using Trie Based Data Structure, Lizhi Xiang, Arif Khan, Edoardo Serra, Mahantesh Halappanavar, Aravind Sukumaran-Rajam
Cuts: Scaling Subgraph Isomorphism On Distributed Multi-Gpu Systems Using Trie Based Data Structure, Lizhi Xiang, Arif Khan, Edoardo Serra, Mahantesh Halappanavar, Aravind Sukumaran-Rajam
Computer Science Faculty Publications and Presentations
Subgraph isomorphism is a pattern-matching algorithm widely used in many domains such as chem-informatics, bioinformatics, databases, and social network analysis. It is computationally expensive and is a proven NP-hard problem. The massive parallelism in GPUs is well suited for solving subgraph isomorphism. However, current GPU implementations are far from the achievable performance. Moreover, the enormous memory requirement of current approaches limits the problem size that can be handled. This work analyzes the fundamental challenges associated with processing subgraph isomorphism on GPUs and develops an efficient GPU implementation. We also develop a GPU-friendly trie-based data structure to drastically reduce the intermediate …
Mapping E-Commerce Locally And Beyond: Citt K12 Special Investigation Project, Thomas O’Brien, Deanna Matsumoto
Mapping E-Commerce Locally And Beyond: Citt K12 Special Investigation Project, Thomas O’Brien, Deanna Matsumoto
Mineta Transportation Institute
As all aspects of the American workplace become automated or digitally enhanced to some degree, K12 educators have an increasing responsibility to help their students acquire the technical skills necessary to organize and interpret information. Increasingly, this is done through Geographic Information Systems (GIS), especially in careers related to transportation and logistics. The Center for International Trade & Transportation (CITT) at CSU Long Beach has developed this K12 Special Investigation Project to introduce ArcGIS StoryMaps, an engaging, accessible and sophisticated web-based GIS application. The lessons center on e-commerce and its accompanying environmental and economic impact. Still, the activities can be …
Silver Bow Creek/Butte Area Npl Site Butte Priority Soils Operable Unit, Pioneer Technical Services, Inc.
Silver Bow Creek/Butte Area Npl Site Butte Priority Soils Operable Unit, Pioneer Technical Services, Inc.
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Cybersecurity Maturity Model Certification (Cmmc) Compliance For Dod Contractors, Sierra Burnett
Cybersecurity Maturity Model Certification (Cmmc) Compliance For Dod Contractors, Sierra Burnett
Cybersecurity Undergraduate Research Showcase
The DoD is currently taking a supply-chain risk management strategy to foster cybersecurity. This unique strategy is often referred to as CMMC which stands for “Cybersecurity Maturity Model Certification”. The approach requires that all the 300,000 DoD contractors acquire third-party authentication that may attain the requirements for the CMMC maturity level suitable to the work they desire to do for the DoD. CMMC typically examines the organization's capability to safeguard Federal Contract Information as well as CUI. It integrates various cybersecurity standards already in place and plots the best practices alongside processes to five maturity levels that range from the …
Tess-Keck Survey. V. Twin Sub-Neptunes Transiting The Nearby G Star Hd 63935, N. Scarsdale, J. M. Akana Murphy, N. M. Batalha, I. J. M. Crossfield, C. D. Dressing, B. Fulton, A. W. Howard, D. Huber, H. Isaacson, S. R. Kane, E. A. Petigura, P. Robertson, A. Roy, L. M. Weiss, C. Beard, A. Behmard, A. Chontos, J. L. Christiansen, D. R. Ciardi, Z. R. Claytor, K. A. Collins, K. I. Collins, F. Dai, P. A. Dalba, D. Dragomir, T. Fetherolf, A. Fukui, S. Giacalone, E. J. Gonzales, M. L. Hill, L. A. Hirsch, Eric L.N. Jensen, M. R. Kosiarek, J. P. De Leon, J. Lubin, M. B. Lund, R. Luque, A. W. Mayo, T. Močnik, M. Mori, N. Narita, G. Nowak, E. Pallé, M. Rabus, L. J. Rosenthal, R. A. Rubenzahl, J. E. Schlieder, A. Shporer, K. G. Stassun, J. Twicken, G. Wang, D. A. Yahalomi, J. Jenkins, D. W. Latham, G. R. Ricker, S. Seager, R. Vanderspek, J. N. Winn
Tess-Keck Survey. V. Twin Sub-Neptunes Transiting The Nearby G Star Hd 63935, N. Scarsdale, J. M. Akana Murphy, N. M. Batalha, I. J. M. Crossfield, C. D. Dressing, B. Fulton, A. W. Howard, D. Huber, H. Isaacson, S. R. Kane, E. A. Petigura, P. Robertson, A. Roy, L. M. Weiss, C. Beard, A. Behmard, A. Chontos, J. L. Christiansen, D. R. Ciardi, Z. R. Claytor, K. A. Collins, K. I. Collins, F. Dai, P. A. Dalba, D. Dragomir, T. Fetherolf, A. Fukui, S. Giacalone, E. J. Gonzales, M. L. Hill, L. A. Hirsch, Eric L.N. Jensen, M. R. Kosiarek, J. P. De Leon, J. Lubin, M. B. Lund, R. Luque, A. W. Mayo, T. Močnik, M. Mori, N. Narita, G. Nowak, E. Pallé, M. Rabus, L. J. Rosenthal, R. A. Rubenzahl, J. E. Schlieder, A. Shporer, K. G. Stassun, J. Twicken, G. Wang, D. A. Yahalomi, J. Jenkins, D. W. Latham, G. R. Ricker, S. Seager, R. Vanderspek, J. N. Winn
Physics & Astronomy Faculty Works
We present the discovery of two nearly identically sized sub-Neptune transiting planets orbiting HD 63935, a bright (V = 8.6 mag), Sun-like (Teff = 5560 K) star at 49 pc. TESS identified the first planet, HD 63935 b (TOI-509.01), in Sectors 7 and 34. We identified the second signal (HD 63935 c) in Keck High Resolution Echelle Spectrometer and Lick Automated Planet Finder radial velocity data as part of our follow-up campaign. It was subsequently confirmed with TESS photometry in Sector 34 as TOI-509.02. Our analysis of the photometric and radial velocity data yielded a robust detection …
Toi-1518b: A Misaligned Ultra-Hot Jupiter With Iron In Its Atmosphere, S. H. C. Cabot, A. Bello-Arufe, J. M. Mendonça, R. Tronsgaard, I. Wong, G. Zhou, L. A. Buchhave, D. A. Fischer, K. G. Stassun, V. Antoci, D. Baker, A. A. Belinski, B. Benneke, L. G. Bouma, J. L. Christiansen, K. A. Collins, M. V. Goliguzova, S. Hagey, J. M. Jenkins, Eric L.N. Jensen, R. C. Kidwell Jr., D. Laloum, B. Massey, K. K. Mcleod, D. W. Latham, E. H. Morgan, G. Ricker, B. S. Safonov, J. E. Schlieder, S. Seager, A. Shporer, J. C. Smith, G. Srdoc, I. A. Strakhov, G. Torres, J. D. Twicken, R. Vanderspek, M. Vezie, J. N. Winn
Toi-1518b: A Misaligned Ultra-Hot Jupiter With Iron In Its Atmosphere, S. H. C. Cabot, A. Bello-Arufe, J. M. Mendonça, R. Tronsgaard, I. Wong, G. Zhou, L. A. Buchhave, D. A. Fischer, K. G. Stassun, V. Antoci, D. Baker, A. A. Belinski, B. Benneke, L. G. Bouma, J. L. Christiansen, K. A. Collins, M. V. Goliguzova, S. Hagey, J. M. Jenkins, Eric L.N. Jensen, R. C. Kidwell Jr., D. Laloum, B. Massey, K. K. Mcleod, D. W. Latham, E. H. Morgan, G. Ricker, B. S. Safonov, J. E. Schlieder, S. Seager, A. Shporer, J. C. Smith, G. Srdoc, I. A. Strakhov, G. Torres, J. D. Twicken, R. Vanderspek, M. Vezie, J. N. Winn
Physics & Astronomy Faculty Works
We present the discovery of TOI-1518b—an ultra-hot Jupiter orbiting a bright star (V = 8.95). The transiting planet is confirmed using high-resolution optical transmission spectra from EXPRES. It is inflated, with Rp = 1.875 ± 0.053 RJ, and exhibits several interesting properties, including a misaligned orbit (240.34 (+0.93)/(-0.98) degrees) and nearly grazing transit (b = 0.9036 (+0.0061)/(-0.0053)). The planet orbits a fast-rotating F0 host star (Teff ≃ 7300 K) in 1.9 days and experiences intense irradiation. Notably, the TESS data show a clear secondary eclipse with a depth of 364 ± 28 ppm …
The Solar Memory From Hours To Decades, Markus J. Aschwanden, Jay R. Johnson
The Solar Memory From Hours To Decades, Markus J. Aschwanden, Jay R. Johnson
Faculty Publications
Waiting-time distributions allow us to distinguish at least three different types of dynamical systems, including (i) linear random processes (with no memory); (ii) nonlinear, avalanche-type, nonstationary Poisson processes (with memory during the exponential growth of the avalanche rise time); and (iii) chaotic systems in the state of a nonlinear limit cycle (with memory during the oscillatory phase). We describe the temporal evolution of the flare rate λ(t) ∝ t p with a polynomial function, which allows us to distinguish linear (p ≈ 1) from nonlinear (p 2) events. The power-law slopes α of the observed waiting times (with full …
Correcting Correlation Functions For Redshift-Dependent Interloper Contamination, Daniel J. Farrow, Ariel G. Sánchez, Robin Ciardullo, Shun Saito, For Full List Of Authors, See Publisher's Website.
Correcting Correlation Functions For Redshift-Dependent Interloper Contamination, Daniel J. Farrow, Ariel G. Sánchez, Robin Ciardullo, Shun Saito, For Full List Of Authors, See Publisher's Website.
Physics Faculty Research & Creative Works
The construction of catalogues of a particular type of galaxy can be complicated by interlopers contaminating the sample. In spectroscopic galaxy surveys this can be due to the misclassification of an emission line; for example in the Hobby-Eberly Telescope Dark Energy Experiment (HETDEX) low-redshift [O ii] emitters may make up a few per cent of the observed Ly α emitter (LAE) sample. The presence of contaminants affects the measured correlation functions and power spectra. Previous attempts to deal with this using the cross-correlation function have assumed sources at a fixed redshift, or not modelled evolution within the adopted redshift bins. …
Comparison Of Charge Deposition Profiles In Polymers Irradiated With Monoenergetic Electrons: Pulsed Electroacoustic Measurements And Af-Numit3 Modeling, Zachary Gibson, Jr Dennison, Brian Beecken
Comparison Of Charge Deposition Profiles In Polymers Irradiated With Monoenergetic Electrons: Pulsed Electroacoustic Measurements And Af-Numit3 Modeling, Zachary Gibson, Jr Dennison, Brian Beecken
Physics Student Research
Successful spacecraft design and charging mitigation techniques require precise and accurate knowledge of charge deposition profiles. This paper compares models of charge deposition and transport using a venerable deep dielectric charging code, AF-NUMIT3, with direct measurements of charge profiles via pulsed electroacoustic (PEA) measurements. Eight different simulations were performed for comparison to PEA experiments of samples irradiated by 50 keV or 80 keV monoenergetic electrons in vacuum and at room temperature. Two materials, polyether-ether ketone (PEEK) and polytetrafluoroethylene (PTFE), were chosen for their very low conductivities so that minimal charge migration would occur between irradiation and PEA measurements. PEEK was …
Artificial Intelligence As Augmenting Automation: Implications For Employment, F. Ted Tschang, Esteve Almirall
Artificial Intelligence As Augmenting Automation: Implications For Employment, F. Ted Tschang, Esteve Almirall
Research Collection Lee Kong Chian School Of Business
There has been great concern in recent years that artificial intelligence (AI) may cause widespread unemployment, but proponents say that AI augments existing jobs. Both of these positions have substance, but there is a need is to articulate the mechanisms by which AI may actually do both, and in the process, transform work and business organizations alike. We use economic studies showing past transformations automation wrought on the structure of employment and skills (such as the favouring of nonroutine skills) to articulate a ground for discussion. We then use case evidence of AI and automation to show how AI is …
Generating Music With Sentiments, Chunhui Bao
Generating Music With Sentiments, Chunhui Bao
Dissertations and Theses Collection (Open Access)
In this thesis, I focus on the music generation conditional on human sentiments such as positive and negative. As there are no existing large-scale music datasets annotated with sentiment labels, generating high-quality music conditioned on sentiments is hard. I thus build a new dataset consisting of the triplets of lyric, melody and sentiment, without requiring any manual annotations. I utilize an automated sentiment recognition model (based on the BERT trained on Edmonds Dance dataset) to "label'' the music according to the sentiments recognized from its lyrics. I then train the model of generating sentimental music and call the method Sentimental …
Plankton Dynamic At Eastern Arabian Gulf And Sea Of Oman, Muzna Mohammed Saeed Al Junaibi
Plankton Dynamic At Eastern Arabian Gulf And Sea Of Oman, Muzna Mohammed Saeed Al Junaibi
Theses
The present study is part of the collaborative research project entitled “Comparative Analysis and Predictions of Algal Blooms in the Arabian Gulf and the Sea of Oman”, between the United Arab Emirates University and Sultan Qaboos University (Grant # G00002684- 31S321), in which simultaneous and intensive biweekly plankton and water samples were collected from two opposite coastal stations off the Strait of Hormuz with the aim to study plankton dynamics at the Arabian Gulf and the Sea of Oman and the effect of environmental parameters on their community structures during the period from May 2018 until May …
Biological Treatment Of Produced Water Using Algae: A Proof Of Concept, Shibin Nadersha
Biological Treatment Of Produced Water Using Algae: A Proof Of Concept, Shibin Nadersha
Theses
Produced water (PW) is the effluent generated during oil mining and extraction. On average, for every barrel of oil, 4 - 5 barrels of PW are generated worldwide. In UAE, 1.22 billion cubic meters of PW were generated in the year 2017. Proper management of PW is thus very important taking into account the large volumes of it being generated. In addition, PW is considered toxic as it contains various contaminants such as aliphatic and aromatic hydrocarbons, inorganic salts, metals, phenols, radioactive materials, and chemical additives. Disposal of untreated PW into oceans and water bodies can cause adverse effects on …
Studying Neurotoxic Effects Of Three Synthetic Insecticides And Two Herbal Infusions On The Nervous System Of The Fruit Fly Drosophila Melanogaster, Sara Khamis Obaid Hamarain Al Dhaheri
Studying Neurotoxic Effects Of Three Synthetic Insecticides And Two Herbal Infusions On The Nervous System Of The Fruit Fly Drosophila Melanogaster, Sara Khamis Obaid Hamarain Al Dhaheri
Theses
Pesticides applied on plants and animals can reach the human diet once they enter food chains. Insecticides are neurotoxic agents; they have the potential of causing damage to the nervous system in people. The damage could induce or promote neurodegenerative diseases such as the Parkinson’s and Alzheimer's. It is well-documented that the exposure to the insecticide chlorpyrifos (CPF) stimulate the Parkinson disease in humans and experimental animals. Thus, this research project will study effect of three synthetic insecticides pirimicarb, tefluthrin, and CPF on the nervous system of Drosophila melanogaster as a model organism. In addition, the project will evaluate the …
Automated Detection Of Marine Glacier Calving Fronts Using The 2-D Wavelet Transform Modulus Maxima Segmentation Method, Julia Liu, Ellyn M. Enderlin, Hans-Peter Marshall, Andre Khalil
Automated Detection Of Marine Glacier Calving Fronts Using The 2-D Wavelet Transform Modulus Maxima Segmentation Method, Julia Liu, Ellyn M. Enderlin, Hans-Peter Marshall, Andre Khalil
Geosciences Faculty Publications and Presentations
Changes in the calving front position of marine-terminating glaciers strongly influence the mass balance of glaciers, ice caps, and ice sheets. At present, quantification of frontal position change primarily relies on time-consuming and subjective manual mapping techniques, limiting our ability to understand changes to glacier calving fronts. Here we describe a newly developed automated method of mapping glacier calving fronts in satellite imagery using observations from a representative sample of Greenland’s peripheral marine-terminating glaciers. Our method is adapted from the 2-D wavelet transform modulus maxima (WTMM) segmentation method, which has been used previously for image segmentation in biomedical and other …
Why Do People Become Addicted: Towards A Theoretical Explanation For Eyal's Experiment-Based Hook Model, Christopher Reyes, Vladik Kreinovich
Why Do People Become Addicted: Towards A Theoretical Explanation For Eyal's Experiment-Based Hook Model, Christopher Reyes, Vladik Kreinovich
Departmental Technical Reports (CS)
Why do people become addicted, e.g., to gambling? Experiments have shown that simple lotteries, in which we can win a small prize with a certain probability, and not addictive. However, if we add a second possibility -- of having a large prize with a small probability -- the lottery becomes highly addictive to many participants. In this paper, we provide a possible theoretical explanation for this empirical phenomenon.