Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Environmental Sciences (833)
- Computer Sciences (818)
- Physics (535)
- Water Resource Management (515)
- Chemistry (379)
-
- Mathematics (334)
- Earth Sciences (277)
- Life Sciences (211)
- Social and Behavioral Sciences (205)
- Engineering (168)
- Oceanography and Atmospheric Sciences and Meteorology (139)
- Medicine and Health Sciences (121)
- Statistics and Probability (118)
- Condensed Matter Physics (99)
- Geology (98)
- Artificial Intelligence and Robotics (94)
- Quantum Physics (92)
- Applied Mathematics (86)
- Astrophysics and Astronomy (82)
- Software Engineering (82)
- Programming Languages and Compilers (80)
- Organic Chemistry (76)
- Arts and Humanities (73)
- Data Science (68)
- Elementary Particles and Fields and String Theory (68)
- Databases and Information Systems (65)
- Biochemistry, Biophysics, and Structural Biology (64)
- Education (62)
- Materials Chemistry (62)
- Keyword
-
- 2014 International Conference on Hydroinformatics HIC (464)
- Hydrodynamic Modelling (61)
- Application of Data-driven Modelling in Water Sciences (51)
- Optimization of Water Resources Management and Control (48)
- Hydrological Modelling (42)
-
- Case Studies (41)
- Application of Optimization Techniques in Model Development (37)
- Climate change (36)
- Model-Data Integration and Data Assimilation (36)
- DSS for Water Resources and Quality Management (33)
- Intro to Data Science (33)
- Remote sensing (30)
- Optimization (29)
- Risk and Uncertainty Analysis (29)
- Statistics (29)
- Drought (28)
- Application Cases of DSS (27)
- Developments of Flood and Drought Early Warning Systems (27)
- Biodiversity (26)
- Computer Science (26)
- Cybersecurity (26)
- Emerging Modelling Paradigms and Model Coupling (26)
- Energy (26)
- Modelling and control in urban water systems (26)
- Real-time data processing (26)
- Erosion (25)
- Health (25)
- Machine learning (25)
- Transport and Eco-hydraulic Modelling (25)
- Computer science (24)
- Publication Year
- Publication
-
- Publications and Research (1244)
- Dissertations, Theses, and Capstone Projects (707)
- International Conference on Hydroinformatics (464)
- Open Educational Resources (389)
- Computer Science Technical Reports (202)
-
- Dissertations and Theses (110)
- Theses and Dissertations (31)
- Student Theses (29)
- Capstones (22)
- Student Theses and Dissertations (9)
- Advanced Science Research Center (5)
- Finding Aids (2)
- Graduate Student Publications and Research (2)
- All Open Access Legacy Dissertations and Capstone Projects (1)
- Before the Textbook (1)
- Theses (1)
- Publication Type
- File Type
Articles 1 - 30 of 3219
Full-Text Articles in Physical Sciences and Mathematics
Incorporating Solvation Thermodynamic Mapping In Computer-Aided Drug Design, Yeonji Ji
Incorporating Solvation Thermodynamic Mapping In Computer-Aided Drug Design, Yeonji Ji
Dissertations, Theses, and Capstone Projects
Advancements in computational techniques have revolutionized structure-based drug design, substantially improving the efficiency and effectiveness of the drug discovery process by reducing time, costs, and labor requirements. These advancements include various methods, such as investigating small molecule ligands binding to proteins, exploring alternative protein conformations, and solvation mapping on the protein surfaces. Among these methods, understanding the correlation between protein-ligand binding and the role of solvation is important.
A fundamental concept in protein-ligand binding is shape and electrostatic complementarity, which is complicated by the inherent flexibility of proteins. In the absence of small molecule ligands, proteins are complementary to surface …
Limit Theorems For L-Functions In Analytic Number Theory, Asher Roberts
Limit Theorems For L-Functions In Analytic Number Theory, Asher Roberts
Dissertations, Theses, and Capstone Projects
We use the method of Radziwill and Soundararajan to prove Selberg’s central limit theorem for the real part of the logarithm of the Riemann zeta function on the critical line in the multivariate case. This gives an alternate proof of a result of Bourgade. An upshot of the method is to determine a rate of convergence in the sense of the Dudley distance. This is the same rate Selberg claims using the Kolmogorov distance. We also achieve the same rate of convergence in the case of Dirichlet L-functions. Assuming the Riemann hypothesis, we improve the rate of convergence by using …
Protein And Water Modeling In Computer-Aided Drug Discovery, Mossa Ghattas
Protein And Water Modeling In Computer-Aided Drug Discovery, Mossa Ghattas
Dissertations, Theses, and Capstone Projects
The field of Computer-Aided Drug Design (CADD) is continuously evolving to improve protein modeling, a crucial step in the drug discovery process. However, limitations exist in how CADD accounts for the various configurations a protein can adopt due to different rotamer and protonation states of its residues. This thesis explores advancements in CADD to address this challenge, focusing on protein modeling and water interactions.
In Chapter 1, I introduce the drug discovery process with a brief overview of its history, the purpose of FDA clinical trials, and the cost and time duration for bringing a drug to the market. I …
Dynamic Difficulty Adjustment For Combat Systems In Role-Playing Genre Video Games, Cheuk Man Chan
Dynamic Difficulty Adjustment For Combat Systems In Role-Playing Genre Video Games, Cheuk Man Chan
Dissertations, Theses, and Capstone Projects
Static difficulty adjustment has been applied to video games since their inception. However, dynamic difficulty adjustment did not become a topic of interest in either the academic fields or the industry until the turn of the century with sufficient advancement in processing power of computers and console systems. Amongst the work done in this area, most of the focus has either been placed on the action/adventure or the strategy game genre. However, there are only a limited number of studies regarding the role playing game genre which, by the nature of such games, generates a massive amount of data regarding …
Some New Properties Of Random Groups In The Density And Few-Relator Models, Anastasiia Chorna
Some New Properties Of Random Groups In The Density And Few-Relator Models, Anastasiia Chorna
Dissertations, Theses, and Capstone Projects
In this dissertation, we delve into the subjects that lie in the intersection of random group theory and first-order theory, or as traditionally referred to in the field, the first-order theory of free groups (Sela (2006) and Kharlampovich and Myasnikov (2006), among others). In particular, we establish the following two findings. First, we demonstrate that for fixed k > 2, among finitely generated groups, those without finite index subgroups of index k are prevalent in the density model (as discussed in Chapter 3). Second, we show that a first-order universal sentence in the language of groups is almost surely true in …
From Stars To Moons: Investigating Stellar Rotations, Planetary Interactions, And Exoplanetary Prospects, Rosario Cecilio-Flores-Elie
From Stars To Moons: Investigating Stellar Rotations, Planetary Interactions, And Exoplanetary Prospects, Rosario Cecilio-Flores-Elie
Dissertations, Theses, and Capstone Projects
The thesis is divided into two key sections. The first chapter presents the results of analyzing TESS light curves for 99 targets within the Carina-Near moving group. By deriving rotational periods, this analysis supports stellar age estimation, contributing to the broader efforts of the Backyard Worlds: Planet 9 citizen project in determining age parameters for 89 newly identified systems, including ultracool dwarf companions. These findings enhance our understanding of stellar rotation and evolution, offering new insights into the development of secondary co-moving objects like brown dwarfs.
The second chapter investigates planet-moon interactions within our solar system by examining mass ratios, …
Advanced Predictive Analytics On Financial Donations To Nonprofit Organizations, Fhamida Keya
Advanced Predictive Analytics On Financial Donations To Nonprofit Organizations, Fhamida Keya
Dissertations, Theses, and Capstone Projects
Non-profit organizations rely on donation contributions to carry out their social driven agenda. In the context of fundraising and donor management, it is crucial to uncover complex insights about donor behavior for optimizing strategies and enhancing donor engagement. This project employed advanced analytical techniques on the dataset Donations Received by City Agencies sourced from NYC Open Data by implementing predictive modeling, clustering segmentation, and time series analysis and forecasting. The project will attempt to uncover patterns in donation behavior, identify factors that influence donation amounts, and segment out donor profiles all of which can be leveraged to optimize strategy decisions, …
Who Are You Rooting For? T20 Cricket World Cup 2024, Usa & Wi, Purvesh Desai
Who Are You Rooting For? T20 Cricket World Cup 2024, Usa & Wi, Purvesh Desai
Dissertations, Theses, and Capstone Projects
The T20 Cricket World Cup '24 played in USA & WI will bring immense excitement to the cricket lovers around the world and have a question to themselves “Who shall I Root for?” How do people or fans support their favorite teams and on what criteria do they pick these teams will discuss in here.
Patriotism, tradition, and favorite individual players, are the main reasons for the fans to choose their and support the team. Nation is the biggest pride of an individual and many people choose their pride over everything. People celebrate when the home team plays on the …
La Vida: Towards A Motivated Goal Reasoning Agent, Ursula Addison
La Vida: Towards A Motivated Goal Reasoning Agent, Ursula Addison
Dissertations, Theses, and Capstone Projects
An autonomous agent deployed to operate over extended horizons in uncertain environments will encounter situations for which it was not designed. A class of these situations involves an invalidation of agent goals and limited guidance in establishing a new set of goals to pursue. An agent will benefit from some mechanism that will allow it to pursue new goals under these circumstances such that the goals are broadly useful in its environment and take advantage of its existing skills while aligning with societal norms. We propose augmenting a goal reasoning agent, i.e., an agent that can deliberate on and self-select …
Categorical Chain Conditions For Étale Groupoid Algebras, Sunil Philip
Categorical Chain Conditions For Étale Groupoid Algebras, Sunil Philip
Dissertations, Theses, and Capstone Projects
Let R be a unital commutative ring and G an ample groupoid. Using the topology of the groupoid G, Steinberg defined an étale groupoid algebra RG. These étale groupoid algebras generalize various algebras, including group algebras, commutative algebras over a field generated by idempotents, traditional groupoid algebras, Leavitt path algebras, higher-rank graph algebras, and inverse semigroup algebras. Steinberg later characterized the classical chain conditions for étale groupoid algebras. In this work, we characterize categorically noetherian and artinian, locally noetherian and artinian, and semisimple étale groupoid algebras, thereby generalizing existing results for Leavitt path algebras and introducing new results for inverse …
Twisted Alexander Polynomials And Ptolemy Varieties Of Knots And Surface Bundles, Michael R. Marinelli
Twisted Alexander Polynomials And Ptolemy Varieties Of Knots And Surface Bundles, Michael R. Marinelli
Dissertations, Theses, and Capstone Projects
The first focus of this dissertation is to compute Ptolemy varieties for triangulations of two infinite families of manifolds. Given an ideal triangulation of a cusped manifold, one can compute the Ptolemy variety and using it, obtain parabolic representations of the fundamental group. We compute certain obstruction classes for these manifolds, which are necessary to obtain the discrete faithful representation. This leads to our second focus of the dissertation, the twisted Alexander polynomial. The twisted Alexander polynomial (TAP) is a variation of the classical Alexander polynomial twisted by a representation of the fundamental group into a linear group. It was …
Shear Viscosity Of Quasi One-Dimensional Bec Tubes And Entanglement Negativity Conditions, Camilla Polvara
Shear Viscosity Of Quasi One-Dimensional Bec Tubes And Entanglement Negativity Conditions, Camilla Polvara
Dissertations, Theses, and Capstone Projects
Shear Viscosity of Quasi One-dimensional BEC Tubes
We consider layered Bose-Einstein condensates interacting via contact intra-condensate interacions and dipolar inter-condensate potentials, both of which dominate intercondensate tunneling (which we neglect for simplicity). For this system, we compute the normal modes, we study its localization properties by numerically computing the inverse participation ratio, and we compute the inter-tube shear viscosity.
Entanglement Negativity Conditions
This project explores bounds on entanglement negativity using operator inequalities, building on the results of [1]. We are looking for a way to quantify entanglement, as an alternative to calculating the full negativity, which would otherwise require the …
Interplay Of Magnetic Impurities And Superconductivity In Topological Materials, Didier Ndengeyintwali
Interplay Of Magnetic Impurities And Superconductivity In Topological Materials, Didier Ndengeyintwali
Dissertations, Theses, and Capstone Projects
The interplay of superconductivity and magnetism has been a long-standing topic of interest since the discovery of superconductivity. In recent years it has been shown that topological superconductivity, which has promising applications such as in topological quantum computing, could result from such interplay. Motivated by the later results I study the effect of magnetic impurities in superconducting doped topological insulators, such as Iron based topological superconductors. I show that topological character of parent materials could lead to modifications in the structure of magnetic impurity induced in-gap states. Moreover, the superconductivity induced interaction between magnetic impurities in doped topological insulator would …
Mapping Urban Tree Canopy Using Publicly Available Satellite Data, Rosemary Mcguinness
Mapping Urban Tree Canopy Using Publicly Available Satellite Data, Rosemary Mcguinness
Theses and Dissertations
This project addresses the need for accessible, cost-effective tools for quantifying spatial and temporal changes in tree canopy cover in urban areas. Urban tree canopy provides a wide range of ecosystem services, including lowering air temperatures, reducing pollution, and mitigating stormwater runoff. Cities around the world have placed the expansion of their urban forests at the center of their sustainability goals. Consistent and timely data on urban tree canopy is essential for urban greening initiatives to succeed. Existing methods of accessing information about urban tree canopy are highly technical, costly, and labor-intensive, while the freely available source of tree canopy …
Optimizing The Protein Yield Of The Collagen Mimetic Peptide: Col108, Fahmida Akter
Optimizing The Protein Yield Of The Collagen Mimetic Peptide: Col108, Fahmida Akter
Theses and Dissertations
Abstract
The fibril-forming collagen mimetic peptide Col108, produced in E. Coli, has shown potential for innovative biomaterial applications. However, further research is constrained by its limited yield. My study aims to enhance the experimental parameters and has successfully pinpointed rifampicin as an efficient method to boost the production of Col108.
Querymate: A Custom Llm Powered By Llamacpp, Pegah Khosravi
Querymate: A Custom Llm Powered By Llamacpp, Pegah Khosravi
Open Educational Resources
No abstract provided.
Effortless Mindfulness Toolkit: Easy Meditation Scripts To Begin Each Class., Brett Whysel
Effortless Mindfulness Toolkit: Easy Meditation Scripts To Begin Each Class., Brett Whysel
Open Educational Resources
The Effortless Mindfulness in the Classroom Toolkit is an open educational resource designed to create happier classrooms, boost student engagement, and foster a sense of community through brief, effective mindfulness exercises. This comprehensive toolkit provides educators with everything they need to seamlessly integrate mindfulness practices into their teaching routines, regardless of prior experience. The toolkit includes introductory slides, 15 ready-to-use meditation scripts, and accompanying audio recordings, covering a variety of mindfulness techniques such as focused breathing, body scans, and loving-kindness meditations. Each meditation is paired with a reflective prompt to deepen student engagement and reinforce the benefits of mindfulness. Additionally, …
Proceedings Of The Cuny Games Conference 10.0, Robert O. Duncan, Grace Axler-Diperte, Joe Bisz, Christina Boyle, Devorah Kletenik, Carolyn Stallard
Proceedings Of The Cuny Games Conference 10.0, Robert O. Duncan, Grace Axler-Diperte, Joe Bisz, Christina Boyle, Devorah Kletenik, Carolyn Stallard
Publications and Research
The ten-year anniversary (!) of the CUNY Games Conference combines workshops, idea exchanges, interactive participant presentations, playtesting, and playing tabletop games into a two-day hybrid event to promote and discuss game-based learning. The conference focuses on creative pedagogy, such as playful learning activities or games, that teachers can use in the classroom every day. Day 1 featured interactive presentations by attendees, informal idea exchange sessions, and workshops by the conference organizers. Day 2 featured select presentations and workshops, poster sessions, playtesting and game modding, and casual play of tabletop games.
2024 Spring Term Sls261/Phy206 Syllabus, Gustavo Machado Monteiro
2024 Spring Term Sls261/Phy206 Syllabus, Gustavo Machado Monteiro
Open Educational Resources
No abstract provided.
Me And Mathematics: “Doing What You’Re Talking About”: In Dialogue With My Family, Eden Morris
Me And Mathematics: “Doing What You’Re Talking About”: In Dialogue With My Family, Eden Morris
Dissertations, Theses, and Capstone Projects
This paper is a philosophically oriented accompaniment to my audio project (accessible through the following link: https://cuny.manifoldapp.org/projects/me-and-mathematics). Working together, the paper and audio collages form a call to action and a resource. My primary finding is the importance of doing what you’re talking about or exploring and implementing your ideas experientially. Doing what you’re talking about is important for effective teaching/learning and feeling in line with oneself. This working concept came to my attention during my research conversation with my oldest living relative, and then, again, with my youngest (non-baby) relative. This doing what you’re talking about is a way …
Bifurcations And Resultants For Rational Maps And Dynatomic Modular Curves In Positive Characteristic, Colette Lapointe
Bifurcations And Resultants For Rational Maps And Dynatomic Modular Curves In Positive Characteristic, Colette Lapointe
Dissertations, Theses, and Capstone Projects
No abstract provided.
Using Gaussian Processes To Measure M-Dwarf Rotation Periods From Ground-Based Light Curves, Ryan J. Lebron
Using Gaussian Processes To Measure M-Dwarf Rotation Periods From Ground-Based Light Curves, Ryan J. Lebron
Dissertations, Theses, and Capstone Projects
Stellar rotation is a readily observable characteristic that plays a crucial role in the generation and activity of magnetic fields through a process known as a magnetic dynamo. For low mass main sequence stars, they exhibit fully convective interiors, giving rise to a distinct dynamo mechanism compared to solar-type stars. Examining the rotational speeds of these stars can offer valuable insights into the workings of these mechanisms. To measure these rotation periods, we developed a pipeline to analyze 192 archival light curves of low mass stars observed by the Zwicky Transient Facility (ZTF) by utilizing a combination of Lomb-Scargle and …
The Efficacy Of Using Machine Learning Techniques For Identifying And Classifying “Fake News”, Muhammad Islam
The Efficacy Of Using Machine Learning Techniques For Identifying And Classifying “Fake News”, Muhammad Islam
Dissertations, Theses, and Capstone Projects
In today's digital world, detecting fake news has emerged as a critical challenge, one that has significant effects on democracy and public discourse at large both regionally and globally. This research studies how diversity of news sources in training datasets affects how well machine learning models can classify fake vs true news. I used the Linear Support Vector Classification (LinearSVC) to create and compare two classification models: one was trained on a dataset that only had real news from a singular source, Reuters (Dataset 1), and the other was trained on a dataset that contained real news from Reuters, The …
Assessing Job Vulnerability And Employment Growth In The Era Of Large Language Models (Llms), Prudence P. Brou
Assessing Job Vulnerability And Employment Growth In The Era Of Large Language Models (Llms), Prudence P. Brou
Dissertations, Theses, and Capstone Projects
This paper explores the impact of Large Language Models (LLMs) and artificial intelligence (AI) on white-collar occupations in the context of job vulnerability and employment growth. Utilizing the Kaggle dataset "Occupation Salary and Likelihood of Automation," the study employs a data-driven approach to analyze trends across states. Through interactive data visualization, the project aims to provide actionable insights for affected workers, businesses, and policymakers navigating the changing dynamics of the workforce amidst technological advancements.
Three Essays Applying Dynamic Models In Economics, Finance, And Machine Learning, Lucas C. Dowiak
Three Essays Applying Dynamic Models In Economics, Finance, And Machine Learning, Lucas C. Dowiak
Dissertations, Theses, and Capstone Projects
This dissertation is a composition in three parts. Collectively, these essays investigate dynamic methods and their application in the fields of Economics, Finance, and Machine Learning. It pulls liberally from all three. In particular, this dissertation makes repeated use of multi-state modeling frameworks popular in Economics to bring a faceted view to the underlying data and detect its hidden heterogeneity. The challenge of modeling financial assets and estimating their dependence is another focus. For stimulus, concepts in the Machine Learning field are brought in to aid or compete with established econometric techniques.
Econometric Applications of the Hierarchical Mixture-of-Experts
In this …
Sigma_N-Correct Forcing Axioms, Benjamin P. Goodman
Sigma_N-Correct Forcing Axioms, Benjamin P. Goodman
Dissertations, Theses, and Capstone Projects
I introduce a new family of axioms extending ZFC set theory, the Sigma_n-correct forcing axioms. These assert roughly that whenever a forcing name a' can be forced by a poset in some forcing class Gamma to have some Sigma_n property phi which is provably preserved by all further forcing in Gamma, then a' reflects to some small name such that there is already in V a filter which interprets that small name so that phi holds. Sigma_1-correct forcing axioms turn out to be equivalent to classical forcing axioms, while Sigma_2-correct forcing axioms for Sigma_2-definable forcing classes are consistent relative to …
Parabolic And Non-Parabolic Surfaces With Small Or Large End Spaces Via Fenchel-Nielsen Parameters, Michael Antony Pandazis
Parabolic And Non-Parabolic Surfaces With Small Or Large End Spaces Via Fenchel-Nielsen Parameters, Michael Antony Pandazis
Dissertations, Theses, and Capstone Projects
We consider conditions on the Fenchel-Nielsen parameters of a Riemann surface X that determine whether or not a surface X is parabolic. Fix a geodesic pants decomposition of a surface and call the boundary geodesics in the decomposition cuffs. For a zero or half-twist flute surface, we prove that parabolicity is equivalent to the surface having a covering group of the first kind. Using that result, we give necessary and sufficient conditions on the Fenchel-Nielsen parameters of a half-twist flute surface X with increasing cuff lengths such that X is parabolic. As an application, we determine whether or not each …
Illustris-Tng Simulated Central Black Mass(Mbh) And Galaxy Properties Correlations With A Machine Learning Approach, Imani L. Dindy
Illustris-Tng Simulated Central Black Mass(Mbh) And Galaxy Properties Correlations With A Machine Learning Approach, Imani L. Dindy
Dissertations, Theses, and Capstone Projects
Observationaly it is well established that the masses of central black holes are tightly correlated with galaxy properties, most notably the bulge’s velocity dispersion. Cosmolog- ical hydrodynamical simulations can capture most of these correlations, but it is yet not understood why this occurs. To gain greater insight into central black hole growth we use machine learning algorithms to study the relationship between central black hole mass(MBH) and other galaxy properties at z=0 in the TNG simulations. We find that the central black hole mass can be accurately predicted with just a few galaxy properties only if the central black hole …
Quantics Tensor Trains: The Study Of A Continuous Lattice Model And Beyond, Aleix Bou Comas
Quantics Tensor Trains: The Study Of A Continuous Lattice Model And Beyond, Aleix Bou Comas
Dissertations, Theses, and Capstone Projects
This four-chapter dissertation studies the efficient discretization of continuous variable functions with tensor train representation. The first chapter describes all the methodology used to discretize functions and store them efficiently. In this section, the algorithm tensor renormalization group is explained for self-containment purposes. The second chapter centers around the XY model. Quantics tensor trains are used to describe the transfer matrix of the model and compute one and two-dimensional quantities. The one dimensional magnitudes are compared to analytical results with an agreement close to machine precision. As for two dimensions, the analytical results cannot be computed. However, the critical temperature …
Positron Emission Tomography In Oncology And Environmental Science, Samantha Delaney
Positron Emission Tomography In Oncology And Environmental Science, Samantha Delaney
Dissertations, Theses, and Capstone Projects
The last half century has played witness to the onset of molecular imaging for the clinical assessment of physiological targets. While several medical imaging modalities allow for the visualization of the functional and anatomical properties of humans and living systems, few offer accurate quantitation and the ability to detect biochemical processes with low-administered drug mass doses. This limits how physicians and scientists may diagnose and treat medical issues, such as cancer, disease, and foreign agents.
A promising alternative to extant invasive procedures and suboptimal imaging modalities to assess the nature of a biological environment is the use of positron emission …