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Articles 235651 - 235680 of 2921460
Full-Text Articles in Entire DC Network
Biogeographic Affiliation And Centers Of Richness As Predictors Of Elevational Range-Size Patterns For Malesian Flora, Melissa Whitman, Sabrina E. Russo
Biogeographic Affiliation And Centers Of Richness As Predictors Of Elevational Range-Size Patterns For Malesian Flora, Melissa Whitman, Sabrina E. Russo
School of Biological Sciences: Faculty Publications
Our goal was to interrogate the idea that “mountain passes are higher in the tropics” by investigating ecological and biogeographic drivers of elevational range-sizes patterns among equatorial flora. We used herbarium records for 60 species-rich plant families, representing 18 535 species total, to estimate distributions over a 4500 m elevational gradient. For each family, we estimated the change in average range-sizes with increasing elevation (i.e. Rapoport's rule, abbreviated as ERR) and quantified 15 metrics of familial richness distribution, evolutionary age, and biogeographic affiliation. We visualized covariation across families using phylogenetic principal components analysis (pPCA). We then evaluated how family-level ERR …
Large Language Models Struggle In Token-Level Clinical Named Entity Recognition, Qiuhao Lu, Rui Li, Andrew Wen, Jinlian Wang, Liwei Wang, Hongfang Liu
Large Language Models Struggle In Token-Level Clinical Named Entity Recognition, Qiuhao Lu, Rui Li, Andrew Wen, Jinlian Wang, Liwei Wang, Hongfang Liu
Faculty, Staff and Student Publications
Large Language Models (LLMs) have revolutionized various sectors, including healthcare where they are employed in diverse applications. Their utility is particularly significant in the context of rare diseases, where data scarcity, complexity, and specificity pose considerable challenges. In the clinical domain, Named Entity Recognition (NER) stands out as an essential task and it plays a crucial role in extracting relevant information from clinical texts. Despite the promise of LLMs, current research mostly concentrates on document-level NER, identifying entities in a more general context across entire documents, without extracting their precise location. Additionally, efforts have been directed towards adapting ChatGPTfor token-level …
Decoding And Generating Poetry: Using Feminist Theory And Digital Media To Demonstrate Maya Angelou's Writing As Activism, Emery Beckman
Decoding And Generating Poetry: Using Feminist Theory And Digital Media To Demonstrate Maya Angelou's Writing As Activism, Emery Beckman
Graduate Thesis and Dissertation post-2024
This thesis will demonstrate how rhetorical strategies can present social change through descriptive elements of persuasion. Using foundational rhetorical concepts, including ethos, logos, and pathos, it will connect concerns of inequality to the work of Maya Angelou, who can validate the impact intersectionality has within the use of rhetoric. Having been a victim of racism, sexual abuse, and economic disadvantages, she used her voice to break the silence for women. This thesis will showcase the impact of rhetorical techniques through digital media by creating a website featuring visual data and mapping by decoding Maya Angelou's work to demonstrate the power …
External Boundary Conditions For Solidification Process Modeling Of Equiaxed Investment Castings, Weston Olson
External Boundary Conditions For Solidification Process Modeling Of Equiaxed Investment Castings, Weston Olson
Graduate Thesis and Dissertation post-2024
The equiaxed investment casting process is a multi-physics problem which requires knowledge from engineers who have expertise in materials, metallurgy, fluid dynamics, thermodynamics, and heat transfer. Process modeling is a tool used by foundries to help predict casting defects such as shrinkage porosity, hot tears, dimensional distortion, and poor grain structure. ProCAST is the numerical simulation suite used in this dissertation and is considered an industry standard due to its extensive proven track record. The reliability of these predictions is strongly dependent on the accuracy of the thermal boundary conditions set in the model. This dissertation consists of two studies. …
Design And Optimization Of Temperature-Stable Mems Resonators For Timing Applications Based On Thin-Film Lithium Tantalate, Yasaman Majd
Design And Optimization Of Temperature-Stable Mems Resonators For Timing Applications Based On Thin-Film Lithium Tantalate, Yasaman Majd
Graduate Thesis and Dissertation post-2024
All radio devices require a highly accurate frequency reference with superb temperature stability. While quartz-based oscillators meet accuracy demands, they cannot be easily miniaturized for higher frequencies. Silicon-based MEMS resonators offer a promising alternative due to their small size, and low power consumption, though they suffer from significant temperature drift.
This research proposes a silicon-based MEMS device that exhibits low-frequency variations across wide temperature ranges, high-quality factors, and low insertion loss, meeting modern communication system requirements. Two main research avenues are explored.
Firstly, the thermal behavior of S0 Lamb wave X-cut Lithium Tantalate (LT) resonators is investigated, demonstrating a …
Comprehensive Analytics Of Automated Vehicles’ Effectiveness, Benefits, And Crash Severity, Shengxuan Ding
Comprehensive Analytics Of Automated Vehicles’ Effectiveness, Benefits, And Crash Severity, Shengxuan Ding
Graduate Thesis and Dissertation post-2024
Automated Vehicles (AV) are increasingly becoming a reality, offering major road safety improvements and advancements through the development of Advanced Driver Assistance Systems (ADAS) and Automated Driving Systems (ADS). Although research on AVs is progressing, several key gaps remain. There is a lack of sufficient matched data between AV and HDV crashes to compare their differences, along with a need for more detailed datasets to analyze ADS and ADAS crash severity and assess ADAS safety effectiveness. First, the research investigates overall trends within the AV dataset by utilizing 1,099 ADS, 1,001 ADAS and 35,113 HDV crash data. including ADS (Society …
A Framework For Improving Employee Experience In The Hospitality Industry, Scott Hall
A Framework For Improving Employee Experience In The Hospitality Industry, Scott Hall
Graduate Thesis and Dissertation post-2024
This dissertation explores the unique aspects of employee experience within the hospitality industry. By conducting in-depth interviews with 40 employees, both within and outside of the hospitality sector, this research aims to identify the factors that distinguish the employee experience in hospitality and to lay the groundwork for future improvements in this field.
The study employs a thematic analysis to uncover key themes that define the hospitality employee experience. The findings reveal that job satisfaction in hospitality is significantly influenced by factors such as workplace culture, career development opportunities, and the intrinsic satisfaction derived from serving guests. Moreover, the research …
Shock Tube Measurements Of Sustainable Aviation Fuel Sooting Tendencies For Supersonic Commercial Transport, Koby D. Rouviere
Shock Tube Measurements Of Sustainable Aviation Fuel Sooting Tendencies For Supersonic Commercial Transport, Koby D. Rouviere
Graduate Thesis and Dissertation post-2024
Sustainable Aviation fuels (SAFs) have been launched to the forefront of the aviation industry as the desire to push the boundaries of flight continues to grow. The Concorde, a symbol of cutting-edge aerospace technology, was decommissioned due to its extreme inefficiency, as it formed high levels of soot, carbon monoxide (CO), and ethylene (C₂H₄), among other emissions. The UCF shock tube experiments aim to investigate the variation between sustainable aviation fuel and traditional commercial jet fuel under supersonic conditions similar to those seen on the Concorde. The test mixtures were formulated using Jet-A, Gevo’s Alcohol-to-Jet sustainable fuel, a 50/50 blend …
Adaptive Anomaly Prediction Models, Ashkan Farhangi
Adaptive Anomaly Prediction Models, Ashkan Farhangi
Graduate Thesis and Dissertation post-2024
Anomalies are rare in nature. This rarity makes it difficult for models to provide accurate and reliable predictions. Deep learning models typically excel at identifying underlying patterns from abundant data through supervised learning mechanisms but struggle with anomalies due to their limited representation. This results in a significant portion of errors arising from these rare and poorly represented events. Here, we present various methods and frameworks to develop the specialized ability of models to better detect and predict anomalies. Additionally, we improve the interpretability of these models by enhancing their anomaly awareness, leading to stronger performance on real-world datasets that …
Corporate Restructuring Spin-Off In A Technical Project-Based Organization, Stephen J. Davis
Corporate Restructuring Spin-Off In A Technical Project-Based Organization, Stephen J. Davis
Graduate Thesis and Dissertation post-2024
A technical project-based organization (TPBO) is a type of organizational setup that uses project management as the main economic driver. An TPBO tends to be adept at accepting change due to its inherent trait of constant change within the organization as resources move from project-to-project accepting scope changes along the way. Regardless of its ability to accept more change, every organization goes through a lifecycle. At some point, the organization must implement a change in the life cycle to avoid failure. A corporate restructuring spin-off is one way an organization can avoid organizational failure. Although the tool is used in …
Agile Healthcare: The Effects Of Information Technology Ambidexterity And Human Resource Practices On Workforce Agility And Job Performance, Jorge Flavio Sarmiento Falla
Agile Healthcare: The Effects Of Information Technology Ambidexterity And Human Resource Practices On Workforce Agility And Job Performance, Jorge Flavio Sarmiento Falla
Graduate Thesis and Dissertation post-2024
Healthcare organizations grapple with uncertainties and rapid changes, necessitating agility within their workforce. However, empirical studies on healthcare agility are notably scarce, impeding efforts to foster an agile workforce. Through a systematic literature review, human-related dimensions and information technology aspects were found to be relevant to healthcare agility. This study addresses the impact of Information Technology Ambidexterity (ITA) and Human Resource Practices (HRP) on establishing Workforce Agility (WA). Subsequently, the study also addresses the importance of WA for the job performance of healthcare professionals. Lastly, it evaluates the mediation effect of WA on the impact of both ITA and HRP …
Architectural And Training Regime Modifications To Transformer Models For Low Data Applications, Azwad Tamir
Architectural And Training Regime Modifications To Transformer Models For Low Data Applications, Azwad Tamir
Graduate Thesis and Dissertation post-2024
A significant catalyst of the recent Artificial Intelligence and Machine Learning revolution is attributed to large language models (LLMs), which include many prominent AI systems such as ChatGPT, Bard, and Gemini. The majority of high-performance LLM models are based on the transformer architecture and the primary factor behind the recent enhancement in the performance of these models is attributed to the increase of layer quantity and dimensionality, resulting in an exponential rise in the total number of learnable parameters, necessitating substantial data for effective training. This may pose a significant barrier in certain application domains, such as bioinformatics, pharmaceutical research, …
Ammonia For Aviation, Brandon Cotto
Ammonia For Aviation, Brandon Cotto
Graduate Thesis and Dissertation post-2024
Aviation’s share of total global carbon emissions has been on the rise as both the decarbonization of other industries and the number of flights has increased. Ammonia as a jet fuel has been receiving attention as a potential carbon free energy storage pathway, both as a fuel and as a carrier of hydrogen. Utilizing ammonia as a fuel requires energy intensive processes making this pathway a compromise specifically intended for power generation purposes that cannot directly use sustainable energy. It is pertinent to understand the cost of realizing ammonia’s advantages as a fuel in the hard to decarbonize industry of …
Robust Machine Learning Based Frameworks For Localization And Mmwave Beam Prediction In Massive Mimo Systems, Katarina Vuckovic
Robust Machine Learning Based Frameworks For Localization And Mmwave Beam Prediction In Massive Mimo Systems, Katarina Vuckovic
Graduate Thesis and Dissertation post-2024
The primary focus of this doctoral dissertation is the investigation of robust massive Multiple Input Multiple Output (MIMO) communication systems. The study centers on two closely related issues: i) single-site user localization, and ii) millimeter Wave (mmWave) beam prediction. The motivation is to develop a system that simultaneously offers users reliable communication and precise localization using a single infrastructure. This dissertation specifically addresses three key challenges in data-driven solution: i) the limited availability of position-labeled training datasets, ii) robustness in time-varying dynamic environments, and iii) the generalization of models to unseen scenarios. The study introduces three localization and two beam …
Computational Approaches To Study Post Transcriptional Regulation Events, Naima Ahmed Fahmi
Computational Approaches To Study Post Transcriptional Regulation Events, Naima Ahmed Fahmi
Graduate Thesis and Dissertation post-2024
A simplistic understanding of the central dogma falls short in correlating the number of genes in the genome to the number of proteins in the proteome. Post-transcriptional regulation, including alternative splicing and alternative polyadenylation contribute to the complexity of the proteome and is critical in understanding gene expression. In this dissertation, we aim to provide genome-wide detection and visualization of the transcript variants and quantify their significance in gene regulation. First, we propose a robust computational program to identify alternative splicing events from RNA-seq data, called AS-Quant. Our extensive experiments on simulated and real datasets demonstrate that AS-Quant can accurately …
Effective And Efficient Use Of Diffusion Models For Editing In Computer Vision, Umar Khalid
Effective And Efficient Use Of Diffusion Models For Editing In Computer Vision, Umar Khalid
Graduate Thesis and Dissertation post-2024
This doctoral dissertation explores efficient applications of diffusion models in video and 3D scene editing, addressing the high computational demands traditionally associated with these tasks. The research introduces several innovative methods to make diffusion models more practical in real-world video and 3D scenarios while preserving high output quality.
The dissertation first presents parametric efficiency techniques for video understanding, followed by SAVE, a novel approach that leverages Text-to-Image (T2I) diffusion models for video editing, minimizing resource requirements. Building on this, the study introduces LatentEditor, a method that performs fine-grained, localized 3D scene editing in a latent space, thus enhancing Neural Radiance …
The False Identity Of A Filmmaker, Cheyanne Miller
The False Identity Of A Filmmaker, Cheyanne Miller
Graduate Thesis and Dissertation post-2024
The False Identity of a Filmmaker is a multimedia installation and essay film on imposter syndrome within artists. Starting as an exploration into the topic, The False Identity of a Filmmaker became a personal self-discovery in my creative practice, resulting in an essay film that explores my relationship with imposter syndrome in relation to films that are often recognized as canonical. The multimedia installation places the essay film among a textural design of 16mm film strips to recognize filmmaking as a source of my imposter syndrome.
Women, artists, and those with careers in academia experience imposter syndrome quite often but …
Applications Of Plasmonic Biosensors In Chiral And Achiral Sensing, Aritra Biswas
Applications Of Plasmonic Biosensors In Chiral And Achiral Sensing, Aritra Biswas
Graduate Thesis and Dissertation 2023-2024
Monitoring biological systems is crucial in healthcare, driving the need for reliable and noninvasive solutions. The proliferation of unverified drugs in the market necessitates reliable methods for their detection and identification, especially amidst advancements in pharmaceuticals. Plasmonic biosensors emerge as a great platform for ultra-sensitive detection, identification, and manipulation of biomolecular systems. This dissertation report addresses the critical need for precise detection and monitoring of biomolecules and drugs, presenting innovative solutions through the design of a plasmonic biosensor to tackle challenges in sensitivity, selectivity, and label-free detection and identification. We introduce a robust and tunable, cavity-integrated plasmonic nanopatterned sensor that …
Advances In Nanomaterials And Colorimetric Detection Of Arsenic In Water: Review And Future Perspectives, Abhijnan Bhat, Furong Tian, Baljit Singh
Advances In Nanomaterials And Colorimetric Detection Of Arsenic In Water: Review And Future Perspectives, Abhijnan Bhat, Furong Tian, Baljit Singh
Articles
Arsenic, existing in various chemical forms such as arsenate (As(V)) and arsenite (As(III)), demands serious attention in water and environmental contexts due to its significant health risks. It is classified as “carcinogenic to humans” by the International Agency for Research on Cancer (IARC) and is listed by the World Health Organization (WHO) as one of the top 10 chemicals posing major public health concerns. This widespread contamination results in millions of people globally being exposed to dangerous levels of arsenic, making it a top priority for the WHO. Chronic arsenic toxicity, known as arsenicosis, presents with specific skin lesions like …
Against Gap-Filling, Noah C. Chauvin
Against Gap-Filling, Noah C. Chauvin
Cardozo Law Review de•novo
Legal scholars delight in gap-filling. They frequently claim that their works have identified a gap in the literature and to have filled (or begun filling) that gap. However, all too often, these same papers fail to explain why the gap needed to be filled at all. Indeed, despite a robust tradition of meta-scholarship, the legal literature is largely devoid of a theory of academic gap-filling. This essay fills that gap, arguing that gap-filling for the sake of gap-filling is an error for three interconnected reasons. First, gaps might exist for a good reason. Second, concern with gap-filling is often a …
Reforming Informed Consent To Include Comprehension: A Proposal To Promote Equity In Medical Decision-Making, Valerie Gutmann Koch
Reforming Informed Consent To Include Comprehension: A Proposal To Promote Equity In Medical Decision-Making, Valerie Gutmann Koch
Cardozo Law Review de•novo
The ethical goals of the legal doctrine of informed consent are lofty. The law requires that clinicians explain the risks, benefits, and alternatives of proposed treatments to patients, and to respect patient autonomy through voluntary, informed medical decisions aligned with individual values and preferences. Yet in practice, patients often struggle to comprehend the risks and alternatives of a proposed medical intervention. Since investigators began analyzing the sufficiency of informed consent, it has been recognized that the current rules, which focus solely on clinical disclosures, are inadequate in addressing disparities associated with education, race/ethnicity, and age. Despite technically “adequate” disclosures under …
Meaningful Or Meaningless? The Temporal Scope Of The Constitutional Right Of Access To Courts For Incarcerated Litigants, Alison Aimers
Meaningful Or Meaningless? The Temporal Scope Of The Constitutional Right Of Access To Courts For Incarcerated Litigants, Alison Aimers
Cardozo Law Review de•novo
This Note will advocate for the position taken by the Third and Seventh Circuits that incarcerated individuals’ right to affirmative assistance in accessing legal materials extends past the pleading stage to all stages of civil rights claims and post-conviction criminal appeals. U.S. Supreme Court precedent supports this position, and judicial clarity on this issue is required to best protect the constitutional right of access in light of significant existing barriers to incarcerated litigants’ access to courts.
Harnessing Hypocrisy: A Crack In The Supreme Court’S Colorblindness Mask, Zamir Ben-Dan
Harnessing Hypocrisy: A Crack In The Supreme Court’S Colorblindness Mask, Zamir Ben-Dan
Cardozo Law Review de•novo
This Essay contends that the Supreme Court’s denial of certiorari in Harness v. Watson stands as a testament to its hypocrisy. The day after the Court professed an allegiance to promoting racial equality in Students for Fair Admissions, Inc. v. President and Fellows of Harvard College, it refused to even consider invalidating a clear barrier to racial equality. The day after the Court struck down a remedy designed to address a long, sad, and painful history of racism, the Court left undisturbed an obvious symbol of this long, sad, and painful history of racism. When juxtaposed against both the denial …
Corn War: A Trade Fight Between The United States And Mexico, Ernesto Hernández-López
Corn War: A Trade Fight Between The United States And Mexico, Ernesto Hernández-López
Cardozo Law Review de•novo
An international fight grows over corn. The United States claims that México’s ban on genetically modified (GMO) corn violates the United StatesMexico-Canada Agreement (USMCA). México prohibits GMO corn for human consumption. American arguments focus on Sanitary and Phytosanitary (SPS) measures, covered in Chapter 9 of the USMCA. A trade panel will review these.
This Essay first describes SPS arguments and relevant trade rules. The United States’ complaints emphasize that México’s ban is excessive, is not consistent with international standards, and mishandles risks. Second, the Essay identifies the obstacles American positions face: weak mandates and deference to México. Chapter 9 of …
Professional Norms At A Crossroads: Farhane And Its Implications For Legal Counsel, Hayley Sandoval
Professional Norms At A Crossroads: Farhane And Its Implications For Legal Counsel, Hayley Sandoval
Cardozo Law Review de•novo
This Note examines the right to effective assistance of counsel during guilty pleas through the lens of the pending Second Circuit case Farhane v. United States. This case will have significant implications for the right to effective legal representation, particularly in terms of defense attorneys’ duty to warn clients of the potential risk of denaturalization as a consequence of pleading guilty. In May 2024, the court reheard Farhane en banc and will issue a decision later this year. If this opinion aligns with the court’s initial decision, it will severely limit the rights of all defendants in criminal proceedings in …
Expanding Homicide Liability For A Parent’S Omission, Monu Bedi
Expanding Homicide Liability For A Parent’S Omission, Monu Bedi
Cardozo Law Review de•novo
Earlier this year, Jennifer and James Crumbley were convicted of manslaughter and sentenced to 10-15 years for not stopping their teenage son, Ethan, from killing four students at his high school. This is the first known occurrence of an American prosecutor obtaining a homicide conviction relying on a parental omission—or failure to act—where the victim was not the parent’s own child. Parental omissions historically have only triggered homicide charges if the parent fails to protect their child, not others, from harm. Unlike the general population, parents owe a special duty to their child because they are the ones tasked to …
Justice Over Finality: Compassionate Release As A Mechanism To Correct Sentencing Errors, Eliza Stup
Justice Over Finality: Compassionate Release As A Mechanism To Correct Sentencing Errors, Eliza Stup
Cardozo Law Review de•novo
The passage of the First Step Act of 2018 provoked a wave of scholarship analyzing the impact of the Act on compassionate release. However, little attention has been paid to the newfound potential for sentencing errors to fit within the compassionate release framework. This Note addresses a federal circuit split over the legality of sentencing errors as a ground for compassionate release. Drawing on statutory text, legislative history, and recently promulgated U.S. Sentencing Commission guidelines, this Note seeks to provide a robust defense for judicial discretion to consider sentencing errors as a basis for compassionate release. Sentencing errors represent a …
Blackened Faces: Unearthing The Political Shift Behind Illinois' Response To Racialized Labor Violence During The Virden Affair And Coal Wars Of 1898-1899, Jonathan C. Yegge
Blackened Faces: Unearthing The Political Shift Behind Illinois' Response To Racialized Labor Violence During The Virden Affair And Coal Wars Of 1898-1899, Jonathan C. Yegge
Graduate Thesis and Dissertation post-2024
This thesis investigates the relationship between politics, law, race, mobility, and violence in 1890s Illinois to highlight the socio-political causes of a temporary pro-labor shift in Republican policy. It centers on Illinois Governor John R. Tanner’s atypical response to racialized labor violence during the Virden Affair and the broader Coal Wars of 1898-1899. This research builds on socio-economic and cultural studies of the labor movement and Black strikebreaking. It introduces state politics and law, two essential lenses of analysis which the historiography has largely neglected in favor of economics and bottom-up history. In lieu of the typical pro-labor accounts of …
Comparative Analysis Of Prosecutor-Led Diversion Programs: Insights To Japan’S Suspension Of Prosecution For Recidivism Prevention, Mio Hagino
LL.M. Essays & Theses
Around 60% of all crimes in Japan are committed by repeat offenders, and therefore preventing recidivism is a central concern in Japan. Recognizing the importance of early intervention, some prosecutors’ offices collaborate with social workers and provide necessary measures for recidivism prevention when prosecution is suspended. To promote prosecutor-led recidivism prevention, there is an ongoing discussion to legislate the approach currently taken by prosecutors’ offices. However, concerns remain about procedural fairness, transparency of prosecutorial discretion, and collaboration with other agencies. In the United States, prosecutor-led diversion programs are adopted in many states, with ongoing research on their effectiveness and challenges. …
The End Of Consent: Data And The Corporate-Consumer Relationship, Faisal Hijjawi
The End Of Consent: Data And The Corporate-Consumer Relationship, Faisal Hijjawi
LL.M. Essays & Theses
Consumer data is largely regulated through the notice-and-choice approach in the United States, which relies on consumer consent. The notice-and-choice approach is rooted in the control theory of information privacy. This paper will argue that the control theory is limited due to its reliance on property law, its breadth, as well as it reinforcing the ‘no privacy in public’ concept. Further, the notice-and-choice approach relies on consent being both free and informed. However, consent cannot be considered free due to the lack of choice and the manipulation exerted on the consumer. Also, consent is not informed as the consumer lacks …