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Research Grant
Award Number1928565Funding AgencyNational Science FoundationEffective Date2019-10-01Expiration Date2024-09-30Funding Amount$2,172,613
With support from the Improving Undergraduate STEM Education: Hispanic-Serving Institutions (HSI Program), this Track 1 project aims to improve undergraduate student interest in science and retention in STEM programs. It intends to accomplish this goal by enriching STEM courses with project-based learning activities that introduce students to making and design thinking. The project seeks to build faculty capacity through a partnership between Queens College, an HSI, and the New York Hall of S…
Research Grant
Award Number1910873Funding AgencyNational Science FoundationEffective Date2019-10-01Expiration Date2022-09-30Funding Amount$399,988
Searching is a fundamental problem in computer science, and faster search algorithms have been the focus of many researchers for decades. Being a basic primitive in all databases, fast searching in the age of big data has numerous applications in almost any field of data science. A binary search tree (BST) was one of the first and simplest data structures developed for searching, in which the keys in the database are stored in a binary tree, which allows an easy search algorithm to locate key…
Research Grant
Award Number1856362Funding AgencyNational Science FoundationEffective Date2019-09-01Expiration Date2022-08-31Funding Amount$420,000
In this project funded by the Chemical Structure, Dynamics, and Mechanisms-A (CSDM-A) Program of the Chemistry Division, Professor Jianbo Liu and his students at the Queens College of the City University of New York (CUNY) is using combined experimental and theoretical approaches to study the chemical reaction of guanine radical cations with a reactive oxygen species called singlet oxygen. Guanine is one of the four nucleobases of RNA (ribonucleic acid) and DNA (deoxyribonucleic acid). It is …
Publication
ID31176750Published Date2019-09-01JournalBiological psychology, 2019-09-01, Volume 146
We set out to examine the relations between prenatal exposure to the natural disaster Superstorm Sandy, maternal depression, and offspring electrodermal activity (EDA). EDA was measured via skin conductance response (SCR) magnitude in 198 children (M = 42.54 months, SD = 12.76) during a startle paradigm. In keeping with prior research, we expected prenatal depression to be associated with hyporeactive EDA and prenatal stress to be associated with hyperreactive EDA. SCR magnitude was lower in …
Publication
ID30601937Published Date2019-08-15JournalBioinformatics (Oxford, England), 2019-08-15, Volume 35
Biological processes are often modeled by ordinary differential equations with unknown parameters. The unknown parameters are usually estimated from experimental data. In some cases, due to the structure of the model, this estimation problem does not have a unique solution even in the case of continuous noise-free data. It is therefore desirable to check the uniqueness a priori before carrying out actual experiments. We present a new software SIAN (Structural Identifiability ANalyser) that do…
Research Grant
Award Number1921773Funding AgencyNational Science FoundationEffective Date2019-08-01Expiration Date2022-07-31Funding Amount$499,995
Across the animal kingdom, pigmentation patterns are subject to change in novel and fluctuating environments. Color variation among cichlid fish in the East African Great Lakes is a hallmark driving their speciation in one of the largest adaptive radiations recorded among vertebrates. This project will explore how a "molecular switch", DNA methylation, can change the function of genes in the pigment cells of a color-changing cichlid fish adapting to the algal blooms of Lake Tanganyika. The st…
Research Grant
Award Number1900463Funding AgencyNational Science FoundationEffective Date2019-07-01Expiration Date2022-06-30Funding Amount$240,000
Professor Michael Mirkin of CUNY Queens College and Professor Huolin Xin of the University of California-Irvine are supported by the Chemical Catalysis Program of the Division of Chemistry to study two-dimensional materials, such as flat nanosheets of transition metal chalcogenides as electrocatalysts for speeding up the electrocatalytic production of hydrogen from water. The knowledge obtained is applicable to other important chemical reactions relevant to alternative energy production and s…
Research Grant
Award Number1900170Funding AgencyNational Science FoundationEffective Date2019-07-01Expiration Date2022-06-30Funding Amount$415,840
Seogjoo J. Jang of Queens College, City University of New York, is supported by an award from the Chemical Theory, Models and Computational Methods program in the Division of Chemistry for developing and applying quantum dynamics methods for fluctuating systems in quantum environments. For example, think of a molecular substance, like sugar, dissolved in a glass of water. One could think of the electrons in the sugar molecule as the quantum system and the vibrations of the atoms in the sugar …
Research Grant
Award Number1853650Funding AgencyNational Science FoundationEffective Date2019-07-01Expiration Date2022-06-30Funding Amount$237,333
The goal of the project is to analyze and improve the calibration of dynamic models developed by researchers in biology and other sciences to model real-world processes. Mathematical models are used broadly across biology to understand mechanisms, make predictions, and guide intervention strategies. To do so, the model parameters often must be calibrated using data; the estimated parameters can have significant implications for reliability of insights generated from the model and data. This r…
We found 369 documents that match your Search
Research Grants: 346
Publications: 12
Patents: 1
Clinical Trials: 10

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