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Articles 20131 - 20160 of 5203971
Full-Text Articles in Entire DC Network
Building A Multiwavelength Catalog Of Active Galactic Nuclei For The Cosmos Field, Thresa Kelly
Building A Multiwavelength Catalog Of Active Galactic Nuclei For The Cosmos Field, Thresa Kelly
Theses
Active galactic nuclei (AGNs) are capable of producing highly luminous emission across the entirety of the electromagnetic spectrum. Each waveband has characteristic features that can be used to separate AGNs from typical, inactive galaxies. However, each AGN has a unique combination of physical characteristics--such as the black hole mass, accretion rate, obscuring column density, orientation angle, and/or presence of relativistic jets--that create a unique spectral shape. Thus, a single AGN identification technique using a single wavelength will fail to find all types of AGNs. The resulting sample will bias the results of larger statistical studies. Therefore, it is critical to …
Deep Analog: Open-Set Film Emulation With Reference-Conditioned 3d Luts, Yitong Mu
Deep Analog: Open-Set Film Emulation With Reference-Conditioned 3d Luts, Yitong Mu
Theses
Film emulation reproduces the look of an analog film stock on a new digital photograph. We target its open-set form—matching the look of any reference film frame from a single example—with a 3D lookup table (LUT) predicted from that reference. Real-time image enhancement has converged on one recipe for the color step: predict per-image weights over a fixed bank of 3D LUTs and blend them. We show this construction is a gated mixture of experts—specialist tables chosen per image by a learned gate—and it inherits the corresponding failure: trained end-to-end against reconstruction, the gate collapses onto a single expert, so …
Cross-Layer Security And Responsive Evaluation Architectures For Quantum Resistance In Connected Vehicles, Geoff Twardokus
Cross-Layer Security And Responsive Evaluation Architectures For Quantum Resistance In Connected Vehicles, Geoff Twardokus
Theses
Connected vehicle (CV) technologies are emerging as a crucial technology for improving safety on future roadways. Wireless vehicle-to-everything (V2X) communication allows CVs to exchange information that provides enhanced awareness and supports better driving decisions, especially in high-risk or non-line-of-sight scenarios. However, V2X also exposes new surfaces to physical layer attacks and increasingly sophisticated, potentially quantum-capable threat actors. As human or autonomous CV drivers will make split-second safety-critical decisions based on the contents of V2X messages, ensuring their authenticity, as well as their reliable and timely delivery, is crucial. Otherwise, malicious attackers may interfere with safety services or spoof messages to …
Design And Verification Of A Reconfigurable Cryptographic Hardware Accelerator, Nicholas Merante
Design And Verification Of A Reconfigurable Cryptographic Hardware Accelerator, Nicholas Merante
Theses
Cryptographic operations are used throughout computing systems to protect data confidentiality and integrity. Although software implementations provide flexibility, dedicated hardware can offer more predictable execution time and reduce the processing burden placed on a general-purpose processor. This thesis presents the design and verification of a Reconfigurable Cryptographic Hardware Accelerator (RCHA) that integrates AES-128, ChaCha20, SHA-256, and BLAKE2s within a single Verilog/SystemVerilog design. A top-level interface shared by the four cores manages algorithm selection, inputs, outputs, status, protocol errors, cycle measurement, and known-answer self-tests. Verification combined primitive-level tests, integrated UVM regressions, randomized stimulus, directed coverage tests, and OpenSSL-based C++ reference models …
Asynchronous Methods For Reducing Dynamic Power In Sparse Systems, Braley Lachner
Asynchronous Methods For Reducing Dynamic Power In Sparse Systems, Braley Lachner
Theses
While a strong history of computer development has maximized architecture performance, modern computing is fundamentally constrained by thermal limits and power consumption. This is especially true in power sensitive edge applications, which often have low activity. Asynchronous architectures offer a pathway to take advantage of sparsity within hardware to drastically reduce dynamic power through fine-grain selective activation of only necessary hardware. Despite these advantages, the semiconductor industry relies heavily on Electronic Design Automation (EDA) toolchains, which have been developed with many synchronous assumptions. The traditional overhead and strict incompatibility with standard EDA toolchains have limited adoption of asynchronous technologies in …
Poppies In Bloom: Gathering Galaxies From Jwst Parallel Fields, Anika Kumar
Poppies In Bloom: Gathering Galaxies From Jwst Parallel Fields, Anika Kumar
Theses
A major goal of extragalactic astrophysics is connecting the Big Bang to the present by under- standing the evolution of star formation (SF) across cosmic time. The correlation between SF and the stellar mass buildup in galaxies, or the star forming main sequence relation (SFMS), highlights the various mechanisms that drive galaxy evolution. Deviations like quiescent galaxies, which have ceased forming stars, and starburst galaxies, which undergo an exceptionally high rate of SF compared to their normal star formation histories (SFH), offer key clues to the catalysts of galaxy evolution (e.g., mergers, gas accretion, supernovae feedback). Our understanding of early …
Impact Of Chiral Chain Conformations On The Self-Assembly Of Helical Polymers, Michael J. Grant
Impact Of Chiral Chain Conformations On The Self-Assembly Of Helical Polymers, Michael J. Grant
Theses
Polymers are a soft material with diverse applications across a spectrum of technologies including, but not limited to, packaging, drug-delivery, optics, lithography and templating. This ubiquity stems from over a century of in-depth theoretical and experimental investigations relating polymer size, stiffness and architecture to their emergent material properties. Interestingly, unlike small organic molecules where solution behavior is predominantly a function of hydrophobicity, in polymers, adjusting the aforementioned features can have a dramatic impact on their interactions with neighboring molecules. In turn, this allows for a tunable parameter space enabling the ability to achieve specific engineering goals. Yet, while the impact …
An Adaptive Wide Current-Load Range Capacitor-Less Ldo With Ultra-Low Power, Will Wright
An Adaptive Wide Current-Load Range Capacitor-Less Ldo With Ultra-Low Power, Will Wright
Theses
Power management circuits are the foundation of any electrical system. They are designed to provide the current necessary for systems to function while keeping the supply voltage constant regardless of operating conditions or external disturbances such as changes in temperature. In modern Systems on Chips (SOC) targeted towards bio-sensing and Internet of Things (IoT) severe constraints appear on the systems level in terms of area and available power. External passive components are very expensive due to the premium of area and the circuits need to use as little power as possible to extend battery life. Traditional Low DropOut regulators (LDOs) …
Uvm Verification Of A 4-Stage Asynchronous Risc-V Processor, Yashaswini Suresha
Uvm Verification Of A 4-Stage Asynchronous Risc-V Processor, Yashaswini Suresha
Theses
Functional verification often takes more effort than designing the system itself, especially when the design departs from the synchronous, globally clocked style that verification tools assume. Asynchronous or clockless circuits are an example of this. They use local request and acknowledge handshaking instead of a global clock, which reduces dynamic power and eliminates clock-distribution and skew problems. However, this also means that standard verification methods that rely on a single periodic clock no longer apply. This thesis introduces a constrained-random, coverage-driven verification environment for a four-stage asynchronous RISC-V processor. The environment is built in SystemVerilog using the Universal Verification Methodology …
Carbon Credits, Capture And Storage Markets In The Uae, Fatema Adnan Majed
Carbon Credits, Capture And Storage Markets In The Uae, Fatema Adnan Majed
Theses
The growing urgency to address climate change has placed carbon markets and carbon capture technologies at the core of global climate strategies. This thesis looks into whether the United Arab Emirates can develop its emerging carbon credit framework into a platform that supports viable private investment and national sustainability goals. While systems that are established, such as the EU Emission Trading System (EU ETS) and voluntary schemes, such as Verra's Verified Carbon Standard (VCS), provide mature models, the UAE shows a unique case: a market still in its early stages yet backed by ambitious climate commitments and world-class hydrocarbon infrastructure. …
Miscela Aura: An Interactive Fragrance Experience, Francesca Delaney
Miscela Aura: An Interactive Fragrance Experience, Francesca Delaney
Theses
How can product customization lead directly to design customization? This question is explored through the lens of perfume. The concept of layering and customizing perfume is becoming more of a desired feature in the fragrance industry, opening the opportunity for how design can be used to create an interactive fragrance experience. Miscela Aura is a custom perfume line centered on an interactive brand activation. An interactive display scans your “aura” and gives you a unique color pattern. Each color represents a fragrance note, the amount of each scent controlled by the amount of each color. As the user interacts with …
Predicting Rental Prices For Dubai Properties, Abdulrahman Mohammad Arab
Predicting Rental Prices For Dubai Properties, Abdulrahman Mohammad Arab
Theses
This study explores the application of machine learning models to predict rental prices in the dynamic real estate market of Dubai. With increasing demand for data-driven valuation tools, accurate rental price estimation has become essential for tenants, landlords, investors, and property consultants. The research is grounded in the theory of supervised machine learning, focusing on the use of structured property features—such as location, size, furnishing status, and number of rooms—to forecast monthly rent values. The study employed the “Dubai Real Estate Goldmine, UAE Rental Market Data” from Kaggle as its primary dataset. This data, which reflects thousands of residential listings …
Passive House Envelope Retrofit For Heritage Buildings In Hot Semi-Arid Climates: A Shoebox Energy Simulation Study Of The Former British Residency (Osmania University College For Women), Hyderabad, India, Hasini Kadaru
Theses
This study assesses interior-oriented envelope retrofits based on Passive House principles, applied to the British Residency of Hyderabad, now called Telangana Mahila Viswa Vidyalayam since 2022, and to Osmania University College for Women (OUCW) for the prior 70 years. This Grade 1-listed building was constructed in several phases starting in the 1790s, then remodeled and extended under Resident James Achilles Kirkpatrick from 1798 to 1805 and completed around 1808. It served as the Residency until 1947, when it was handed over to Osmania University. Due to the conservation approach applied to the site, which does not allow any external changes, …
Analysis Of Gwtc-3 With Multiple Quasicircular Next-Generationwaveform Models, Noah M. Manning
Analysis Of Gwtc-3 With Multiple Quasicircular Next-Generationwaveform Models, Noah M. Manning
Theses
The interpretation of gravitational wave sources depends on the specific choice of model used to interpret signals. For example, previous analyses of GWTC-3 event candidates using the SEOBNRv4PHM, IMRPhenomXPHM, and NRSur7dq4 models have arrived at sometimes notably di!erent conclusions about event properties. Unfortunately, subtle analysis settings and code di!erences can also produce notable di!erences in event properties. Previous work on GWTC-3 has not yet used a consistent analysis framework to reassess all events with state-of- the-art models. In this work, we revisit GWTC-3, reassessing every event using three waveform models: two state-of-the-art models (SEOBNRv5PHM and IMRPhenomTPHM) and one older waveform …
The Interactions That Shape Us: An Investigation Of The Supernova Engine’S Effect On Bbh Mergers, And Of Stellar Encounters In The Disks Of Active Galactic Nuclei, Zoe A. Rosenberg
The Interactions That Shape Us: An Investigation Of The Supernova Engine’S Effect On Bbh Mergers, And Of Stellar Encounters In The Disks Of Active Galactic Nuclei, Zoe A. Rosenberg
Theses
Mergers and other close interactions between astrophysical objects such as black holes and stars are powerful and energetic occurrences, capable of creating heavy elements, forming intriguing remnants, and shaping the populations of stars and compact objects around them. In this thesis, we describe two studies which examine two types of close gravitational events: isolated binary black hole mergers and dynamic stellar interactions in a dense environment. For our first study, we investigate how modifying the speed of convection in the engine behind core-collapse supernova explosions affects the population of merging binary black holes. To get an accurate picture of this …
Detecting Eccentric Kozai–Lidov Imprints On Gravitational Waves From An Intermediate–Stellar-Mass Binary Black Hole Around A Supermassive Black Hole, Zainab Mangi
Theses
The gravitational-wave signal of a compact binary carries the imprint of its environment. In a galactic nucleus, the tidal field of the central supermassive black hole (SMBH) drives Kozai--Lidov (KL) oscillations in the eccentricity of an orbiting binary, modulating the emitted signal. As a proof of concept, previous work showed that for an IMBH--stellar-mass black hole binary, this modulation is detectable with LISA out to about a megaparsec (Deme et al. 2020). This detectability depends on the parameters of the triple; among them, the outer eccentricity plays a special role: it switches on the octupole order of the secular approximation, …
Population Inference Of Compact Binaries With Eccentricity, Muhammad Zeeshan
Population Inference Of Compact Binaries With Eccentricity, Muhammad Zeeshan
Theses
Gravitational waves opened a new window to study the properties of compact binary systems, providing insights into their astrophysical formation and evolution. Initially, population studies relied on mass and spin distributions to distinguish between isolated, dynamical, and hierarchical merger channels; however, orbital eccentricity offers a complementary probe of binary formation scenarios. Historically, eccentricity received limited attention due to the lack of eccentric wave- form models and the absence of strong observational evidence within the LIGO–Virgo–KAGRA sensitivity band. A growing catalog, recent advances in eccentric waveform modeling, and analyses reporting candidates consistent with non-zero eccentricity motivate a systematic population-level study with …
Harnessing Airborne And Spaceborne Lidar For Large-Area Assessment Of Canopy Structural Complexity, Tahrir Ibraq Siddiqui
Harnessing Airborne And Spaceborne Lidar For Large-Area Assessment Of Canopy Structural Complexity, Tahrir Ibraq Siddiqui
Theses
Forests play a vital role in global carbon cycling, biodiversity conservation, and the provision of ecosystem services. Accurate quantification of forest carbon sequestration rates – or forest production – therefore is essential for understanding ecosystem dynamics and informing sustainable forest management practices. Light detection and ranging (LiDAR) systems, as an active remote sensing modality, have emerged as a powerful tool for capturing detailed structural information of forests. Studies employing terrestrial LiDAR demonstrated that canopy structural complexity (CSC) metrics are strongly correlated with forest production at stand to landscape scales. While terrestrial LiDAR systems provide highly detailed maps of internal canopy …
Ai In Higher Education Admissions: A Strategic Framework For Future-Ready Cohort Shaping, Ahmad Aamir Siddiqui
Ai In Higher Education Admissions: A Strategic Framework For Future-Ready Cohort Shaping, Ahmad Aamir Siddiqui
Theses
Higher education admissions in the UAE has long been treated as an administrative process rather than a strategic one. Students are selected on the basis of past academic performance, and qualifications are conferred with limited reference to future national needs. Meanwhile, the national ambitions set out in Centennial 2071 and AI Strategy 2031 require something entirely different: a generation of graduates capable of driving a knowledge economy that barely existed when those students first sat their school exams. This thesis argues that AI-driven admissions, currently deployed mainly for speed and efficiency, can and should be redesigned to do something much …
Factors Influencing Employee Engagement And Performance In Hybrid Work Environments, Saif Alblooshi
Factors Influencing Employee Engagement And Performance In Hybrid Work Environments, Saif Alblooshi
Theses
The widespread adoption of hybrid work arrangements, in which employees divide their working time between remote and office-based settings, has fundamentally altered how organisations manage, measure, and sustain workforce engagement and performance. While hybrid models offer tangible benefits such as increased autonomy, reduced commuting burden, and greater scheduling flexibility, they simultaneously introduce a set of organisational challenges that conventional management frameworks were not designed to address. Chief among these challenges is the difficulty of maintaining consistent levels of employee engagement across distributed work settings, where informal communication, social connection, and direct managerial oversight are structurally constrained. The absence of robust, …
Modeling Intercellular And Intracellular Organization And Dynamics Of The Bacteria Escherichia Coli : From Population Dynamics In The Gut Microbiome, To Condensate Formation In Starved Cells, Alberto Alonso
Theses
Escherichia coli is a predominantly non-pathogenic species of bacteria present in the gut of most healthy adults. It plays a critical role in the health of the gut microbiome and is also widely used as a model organism in microbiology and synthetic biology studies. This thesis discusses results from two ongoing projects on E. Coli organization and emergent biophysical properties at two very distinct length scales. The first project focuses on using genetically modified engineered E. coli bacteria for early detection and intervention in colorectal cancer (CRC), a significant public health issue in the US. The success of these engineered …
A Hyperpipeline For Joint Inference Of The Equation Of State And Population Of Binary Neutron Stars, Marc Ebiri
A Hyperpipeline For Joint Inference Of The Equation Of State And Population Of Binary Neutron Stars, Marc Ebiri
Theses
The extreme environment within neutron stars presents the opportunity to probe the nuclear equation of state at high densities and study the nature of stellar remnants near 1 solar mass. Parameter inference for the equation of state has received abundant attention in previous studies, but only a fraction of those have employed nontrivial population models in their priors. In this work, we introduce an upgrade to the generalized version of the popular RIFT algorithm known as HyperPipe, enabling the inclusion of flexible, user-provided priors within preexisting likelihood marginalization scripts that will facilitate joint inference of the equation of state and …
A Scalable And Physically Interpretable Machine Learning Approach To Analyzing Agn Spectra, Liza Maria Matrecito Salcedo
A Scalable And Physically Interpretable Machine Learning Approach To Analyzing Agn Spectra, Liza Maria Matrecito Salcedo
Theses
The broad-line region (BLR) is a sub-parsec region in an Active Galactic Nucleus (AGN) where dense, optically thick gas clouds produce broad emission lines (BELs). BELs are important probes of physical processes near the central supermassive black hole (SMBH); however, a complete understanding of the BLR’s structure and dynamics remains lacking. The observed diversity in BEL profile shapes suggests substantial differences in BLR properties across AGN. The availability of large-scale spectroscopic databases provides a valuable opportunity to systematically study these properties in large samples of AGN. They also offer the opportunity to identify rare but important systems, such as SMBH …
Nh Ece Research Consortium Member List, Evan England, Jess Carson
Nh Ece Research Consortium Member List, Evan England, Jess Carson
New Hampshire Early Care and Education Research Consortium
NH ECE Research Consortium membership is open to individuals and organizations with relevant expertise that aligns with the purpose of the Consortium, including the advancement of knowledge to support early care and education in NH. Check out the current Consortium members in this graphic!
Diabetter Together: Outcomes Of A Randomized Controlled Trial Evaluating A Peer Mentor Behavioral Intervention For Young Adults With Type 1 Diabetes During The Transfer From Pediatric To Adult Care, Marisa E Hilliard, Charles G Minard, Samantha A Carreon, Wendy L Levy, Sarah K Lyons, Randi Streisand, Tricia S Tang, Siripoom V Mckay, Sridevi Devaraj, Barbara J Anderson
Diabetter Together: Outcomes Of A Randomized Controlled Trial Evaluating A Peer Mentor Behavioral Intervention For Young Adults With Type 1 Diabetes During The Transfer From Pediatric To Adult Care, Marisa E Hilliard, Charles G Minard, Samantha A Carreon, Wendy L Levy, Sarah K Lyons, Randi Streisand, Tricia S Tang, Siripoom V Mckay, Sridevi Devaraj, Barbara J Anderson
Faculty, Staff and Students Publications
Objective: Transition between pediatric and adult health care is complex, with high risk for loss to follow-up and suboptimal health outcomes for young adults with type 1 diabetes. This trial evaluated the efficacy of DiaBetter Together, a 12-month strengths-based behavioral intervention delivered by trained peer mentors. The intervention aimed to help young adults navigate the transfer process to promote optimal glycemic outcomes, shorten time to adult care follow-up, and improve psychosocial outcomes.
Research design and methods: Using a single-site randomized clinical trial design, we compared the 12-month intervention to usual care among n = 100 young adults aged 17-25 years …
Data Centers Face Volatile Regulatory Landscape, Michael B. Gerrard
Data Centers Face Volatile Regulatory Landscape, Michael B. Gerrard
Sabin Center for Climate Change Law
The construction of new data centers for artificial intelligence has become a major engine of the U.S. economy. More than 700 data centers are now under construction across 40 states, with many more to come.
These are typically multi-billion-dollar projects. This boom is facing growing public opposition, which has led to an extremely volatile regulatory land-scape, especially at the state and local levels. That landscape is the subject of this article. This volatility has raised the cost of capital for data centers and led to the cancellation of many, and to heightened due diligence by lenders and others.
A Laboratory Investigation Of Energy Dissipators At Embankment Dams, Nathan L. Young
A Laboratory Investigation Of Energy Dissipators At Embankment Dams, Nathan L. Young
All Graduate Theses and Dissertations, Fall 2023 to Present
Dams play a critical role in protecting communities from flooding and providing reliable water supplies. When large amounts of water pass through a dam’s spillway during floods, the discharge can travel at high speeds and carry potentially destructive kinetic energy that can damage the dam or erode downstream channels if that energy is not properly controlled. To reduce this risk, engineers commonly use hydraulic structures called energy dissipators that slow spillway discharge and safely release it downstream.
Commonly used energy dissipators at embankment dams include stilling basins that rely on a hydraulic jump – a sudden rise in water depth …
'Fast' And 'Slow' Water Handling Strategies Explain Pinyon Pine Decline And Juniper Expansion, M. Faraz Rehman
'Fast' And 'Slow' Water Handling Strategies Explain Pinyon Pine Decline And Juniper Expansion, M. Faraz Rehman
All Graduate Theses and Dissertations, Fall 2023 to Present
Across the western United States, pinyon and juniper woodlands are changing with pinyon pine trees dying back while juniper becoming more abundant. Previous studies suggested that pinyon may lose more water during drier periods. But water loss is only part of the story. Water inputs, or how plants absorb water, are also likely to be important, but rarely well understood. To better understand this, we measured how pinyon and juniper absorb water from different soil depths and how actively they lose water through their leaves. Measurements were made over two years at three sites that ranged from more dry to …
Magnetic Properties And Ultrafast Spin Dynamics In Quantum Materials, Trung Kien Mac
Magnetic Properties And Ultrafast Spin Dynamics In Quantum Materials, Trung Kien Mac
All Graduate Theses and Dissertations, Fall 2023 to Present
Modern electronics mostly work by moving electric charge, which generates heat and hence wastes energy, especially as devices become smaller and faster. An alternative is to use the spin of electrons (a tiny magnetic property) and related “valley” states in certain atomically thin materials to store and process information more efficiently. This thesis explores how magnetism and spin behavior can be created and measured in a family of ultra-thin materials known as van der Waals quantum materials. Three kinds of materials are studied. First, atomically thin semiconductors are shaped into narrow nanoribbons. Because of their narrow size, their edges can …
Independent- August 2026, Alex Dolgin
Independent- August 2026, Alex Dolgin
The Independent (1988-present)
No abstract provided.