Charlotte, NC, United States
Charlotte, NC, United States

The University of North Carolina at Charlotte, also known as UNC Charlotte, UNCC, or Charlotte, is a public research university located in Charlotte, North Carolina, United States. UNC Charlotte offers 21 doctoral, 64 master's, and 90 bachelor's degree programs through nine colleges: the College of Arts + Architecture, the College of Liberal Arts & science, the Belk College of Business, the College of Computing and Informatics, the College of Education, the William States Lee College of Engineering, the College of Health and Human Services, the Honors College, and the University College.UNC Charlotte has three campuses: Charlotte Research Institute Campus, Center City Campus, and the main campus, located in University City. The main campus sits on 1,000 wooded acres with approximately 85 buildings about 8 miles from Uptown Charlotte.The university is the largest institution of higher education in the Charlotte region, which is the second largest banking center in the United States. Wikipedia.

Time filter

Source Type

University of North Carolina at Charlotte | Date: 2016-10-21

Isatoic anhydride derivatives having an N-substituent which includes a quaternary ammonium group are useful for labeling and/or functionalizing a target material and/or for coupling materials together. The isatoic anhydride derivatives of the present disclosure can be advantageously water soluble, easily prepared and purified. Isatoic anhydride derivatives useful in the present disclosure preferably have at least one chemically reactive group or at least one binding group or at least one detectable label. Anthranilate derivatives made from the isatoic anhydrides derivatives or otherwise and kits including the isatoic anhydride derivatives are also disclosed.

University of North Carolina at Charlotte | Date: 2016-12-06

An energy storage system controller, including: an energy storage system coupled to a power distribution system; and a processor in communication with the energy storage system, wherein the processor executes: a renewables capacity firming algorithm operable for conditioning intermittent power of a renewable energy station using real time and historical input data such that it is made more stable and non-intermittent, optionally utilizing one or more parameter values associated with comparable time periods taking into account one or more factors comprising cloud state; and a peak load shaving algorithm operable for ensuring that the energy storage system is capable of transmitting full power capacity at a predicted feeder peak load time determined by the processor from real time and historical input data; wherein the performance of the renewables capacity firming algorithm and the performance of the peak load shaving algorithm are optimized in parallel.

University of North Carolina at Charlotte | Date: 2016-10-07

A method to implement circuits and circuit elements having one or more ports may include digitizing, using analog-to-digital converters, continuous-time input signals received from one or more ports of a circuit to form discrete-time input signals. At a digital signal processor, the discrete-time input signals are received and the discrete-time input signals are processed to calculate a desired discrete-time output signals. Using digital-to-analog converters, the calculated desired discrete-time output signal are calculated to form outputs of continuous-time output signals at the one or more ports of the circuit. The continuous-time output signals are output to the same one or more ports that receive the continuous-time input signals; and producing, thereby, a desired relationship between the continuous-time output signals and the continuous-time input signals at the one or more ports.

A comparative discrimination spectral detection (CDSD) system for the identification of chemicals with overlapping spectral signatures, including: a radiation source for delivering radiation to a sample; a radiation collector for collecting radiation from the sample; a plurality of beam splitters for splitting the radiation collected from the sample into a plurality of radiation beams; a plurality of low-resolution optical filters for filtering the plurality of radiation beams; a plurality of radiation detectors for detecting the plurality filtered radiation beams; and a processor for: receiving a set of reference spectra related to a set of target chemicals and generating a set of base vectors for the set of target chemicals from the set of reference spectra, wherein the set of base vectors define a geometrical shape in a configuration space; receiving a set of filtered test spectra from the plurality of radiation detectors and generating a set of test vectors in the configuration space from the set of filtered test spectra; assessing a geometrical relationship of the set of test vectors and the geometrical shape defined by the set of base vectors in the configuration space; and based on the assessed geometrical relationship, establishing a probability that a given test spectrum or spectra matches a given reference spectrum or spectra.

University of North Carolina at Charlotte | Date: 2016-07-13

Example photoconductive devices and example methods for using photoconductive devices are described. An example method may include providing a photoconductive device having a metal-semiconductor-metal structure. The method may also include controlling, based on a first input state, illumination of the photoconductive device by a first optical beam during a time period, and controlling, based on a second input state, illumination of the photoconductive device by a second optical beam during the time period. Further, the method may include detecting an amount of current produced by the photoconductive device during the time period, and based on the detected amount of current, providing an output indicative of the first input state and the second input state. The example devices can be used individually as discrete components or in integrated circuits for memory or logic applications.

University of North Carolina at Charlotte | Date: 2017-01-10

Novel structural materials composed of industrial hemp fiber with recycled high density polyethylene (HDPE) as well as methods for the production of the same are disclosed. The materials mechanical strength outperforms that of conventional lumber and could compete with glass fiber reinforced composites, particularly in tensile strength. In addition, this material offers many other significant advantages including insect free, high moisture resistance, no harmful chemical treatments, and no rapid corrosion in water environments.

University of North Carolina at Charlotte | Date: 2016-11-23

Devices, systems, and methods of manufacture relating to PCB embedded inductors are described in the present disclosure. Namely, an example device includes a substrate having an upper surface and an opposing lower surface. The device also includes a plurality of upper conductors disposed along the upper surface and a plurality of lower conductors disposed along the lower surface. The upper conductors and the lower conductors are radially disposed about a central axis. Each of the upper conductors and the lower conductors includes a petal shape. A distance between adjacent upper conductors is less than a width of each upper conductor and a distance between adjacent lower conductors is less than a width of each lower conductor. The device also includes a plurality of through-substrate conductors connecting respective upper conductors to respective lower conductors so as to form a series electrical connection. The series electrical connection includes a toroid configuration.

Oliver J.D.,University of North Carolina at Charlotte
FEMS Microbiology Reviews | Year: 2010

Many bacteria, including a variety of important human pathogens, are known to respond to various environmental stresses by entry into a novel physiological state, where the cells remain viable, but are no longer culturable on standard laboratory media. On resuscitation from this 'viable but nonculturable' (VBNC) state, the cells regain culturability and the renewed ability to cause infection. It is likely that the VBNC state is a survival strategy, although several interesting alternative explanations have been suggested. This review describes the VBNC state, the various chemical and physical factors known to induce cells into this state, the cellular traits and gene expression exhibited by VBNC cells, their antibiotic resistance, retention of virulence and ability to attach and persist in the environment, and factors that have been found to allow resuscitation of VBNC cells. Along with simple reversal of the inducing stresses, a variety of interesting chemical and biological factors have been shown to allow resuscitation, including extracellular resuscitation-promoting proteins, a novel quorum-sensing system (AI-3) and interactions with amoeba. Finally, the central role of catalase in the VBNC response of some bacteria, including its genetic regulation, is described. © 2010 Federation of European Microbiological Societies Published by Blackwell Publishing Ltd. All rights reserved.

Yan S.,University of North Carolina at Charlotte
Cellular and molecular life sciences : CMLS | Year: 2014

To maintain genome stability, cells have evolved various DNA repair pathways to deal with oxidative DNA damage. DNA damage response (DDR) pathways, including ATM-Chk2 and ATR-Chk1 checkpoints, are also activated in oxidative stress to coordinate DNA repair, cell cycle progression, transcription, apoptosis, and senescence. Several studies demonstrate that DDR pathways can regulate DNA repair pathways. On the other hand, accumulating evidence suggests that DNA repair pathways may modulate DDR pathway activation as well. In this review, we summarize our current understanding of how various DNA repair and DDR pathways are activated in response to oxidative DNA damage primarily from studies in eukaryotes. In particular, we analyze the functional interplay between DNA repair and DDR pathways in oxidative stress. A better understanding of cellular response to oxidative stress may provide novel avenues of treating human diseases, such as cancer and neurodegenerative disorders.

Agency: NSF | Branch: Standard Grant | Program: | Phase: DATANET | Award Amount: 4.00M | Year: 2016

Data discovery and data analytics often rely on the use of multiple data sources and data residing in distributed locations. This project builds infrastructure that encourages data-driven discovery from distributed, fragmented datasets without requiring movement of massive amounts of data and without exposing sensitive raw datasets to end users. The capability will be applied to a wide range of science topics: to the large sky surveys of astronomy, for which the collecting instruments are distributed nationally and internationally; to classify Earth science satellite data; for the management of sickle-cell disease and antimicrobial resistance surveillance studies; and to integrate the highly distributed and fragmented data sources needed for multi-hazard mitigation and for sustainable and resilient human-building ecosystem research. The project outlines an ambitious and will enable interdisciplinary training in multiple universities and institutions, and contribute to the training of early career researchers

A Virtual Information-Fabric Infrastructure (VIFI) is created, allowing scientists to search, access, manipulate, and evaluate fragmented, distributed data in the information fabric (the infrastructure to facilitate data sharing) without directly accessing or moving large amounts of data. The system addresses the challenges of coordinating loosely federated infrastructure, distributed data management, security and privacy. The architecture combines a set of loosely coupled components representing some proven capabilities with several emerging components. The VIFI infrastructure includes a novel orchestration layer for on-site analytics and hybrid-infrastructure (GPU, CPU) management, a dynamic secure container-based infrastructure which enables online adaptive analytics from unshareable data at distributed locations, and enhanced data and code management tools. The layer also provides search, access and query based on improvements using persistent identifiers and automated semantic descriptions (or metadata) of raw data using semantic data mining techniques. By integrating several NSF-funded components into a coherent whole, VIFI allows researchers to search, access, manipulate and evaluate data elements without requiring detailed familiarity with the data infrastructure itself. The system contributes to and expands the sets of resources serving diverse communities, and is extensible to additional communities. The project contains a substantial outreach effort, including training of early career scientists.

Loading University of North Carolina at Charlotte collaborators
Loading University of North Carolina at Charlotte collaborators