Sarasota, FL, United States

New College of Florida
Sarasota, FL, United States

New College of Florida is a public liberal arts college located in Sarasota, Florida, United States. It was founded originally as a private institution and is now an autonomous honors college of the State University System of Florida. Wikipedia.

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BASKING RIDGE, N.J.--(BUSINESS WIRE)--BNED LoudCloud, a Barnes & Noble Education, Inc. company (NYSE:BNED) (“BNED”), today announced it has entered into an agreement with Unizin, Ltd. (“Unizin”) to provide its 22 member universities with BNED LoudCloud’s predictive analytics solution. As a result, faculty and advisors will have access to a customized solution that helps educators identify, monitor, and support at-risk students, with the goal of improving student success rates and retention. Unizin, a nonprofit consortium serving hundreds of thousands of students, is dedicated to improving teaching and learning environments with digital technology. The consortium finds solutions for its members to address the biggest challenges facing higher education today – affordability, access, and learner success. “The universities of the Unizin Consortium are working together in a radically different way, sharing knowledge and experience in the quest for a learning ecosystem that will transform higher education,” said Amin Qazi, Chief Executive Officer of Unizin. “Our agreement with Barnes & Noble Education is one of the ways our member institutions can continue to support the best possible student outcomes.” LoudSight, BNED LoudCloud’s analytics solution, connects disparate systems on campus, builds predictive models based upon data collected by institutions, and presents advisors with a unified view of the factors that drive student success on their campus. By sharing predictive models with institutions, BNED LoudCloud promotes collaboration to ensure advisors and administrators understand what drives student performance. Additionally, LoudSight integrates with campus communication systems, allowing advisors and faculty to easily reach out to students at the exact moment they need support. “Unizin and BNED share a passion for improving the learning experience and driving student success. We are thrilled to work with Unizin and offer analytic solutions to an even wider audience,” said Kanuj Malhotra, Chief Operating Officer, Digital, Barnes & Noble Education. “By bringing LoudSight’s analytics to Unizin’s collaborative network of universities, which include some of the largest land-grant universities in the country, we can make a meaningful impact on higher education, evolving learning environments and improving student outcomes.” LoudSight has the ability to capture and analyze over 200 parameters across demographic, performance and participation data points. Its powerful predictive engine has the ability to support advisors, faculty and students with real-time alerts and insights into managing and improving outcomes. “Despite the wealth of data collected by schools, it is often difficult for educators to understand and leverage data in a way that allows them to improve student success and retention,” said Manoj Kutty, Managing Director, BNED LoudCloud. “We are excited to serve and collaborate with Unizin to positively impact teaching and learning within its member institutions.” Unizin’s member institutions include: Colorado State University, University of Florida, Indiana University, University of Michigan, Ohio State University, Oregon State University, University of Iowa, University of Minnesota, University of Wisconsin, University of Nebraska, Penn State University, Florida A&M University, Florida Atlantic University, Florida Gulf Coast University, Florida International University, Florida Polytechnic University, Florida State University, New College of Florida, University of Central Florida, University of North Florida, University of South Florida, and University of West Florida. Barnes & Noble Education, Inc. (NYSE: BNED), one of the largest contract operators of bookstores on college and university campuses across the United States and a leading provider of digital education services, enhances the academic and social purpose of educational institutions. Through its Barnes & Noble College and MBS subsidiaries, Barnes & Noble Education operates 1,490 physical and virtual bookstores and serves more than 6 million students enrolled in higher education institutions, delivering essential educational content and tools within a dynamic retail environment. Through its Digital Education subsidiary, Barnes & Noble Education offers a suite of digital software, content and services that include a sophisticated digital learning management platform that has competency-based features, analytics capabilities, courseware offerings and a digital eTextbook reading product. Barnes & Noble Education acts as a strategic partner to drive student success; provide value and support to students and faculty; and create loyalty and improve retention, all while supporting the financial goals of college and university partners. General information on Barnes & Noble Education, Inc. can be obtained by visiting the Company's corporate website: Barnes & Noble Education LoudCloud, a Barnes & Noble Education company (NYSE: BNED), builds software that improves learning. By focusing on four key areas – Learning Analytics, Competency Based Education, Learning Management, and Next Generation Learning Materials including advanced OER Courseware, BNED LoudCloud serves educators and students in higher education, and increasingly, K-12 institutions to address the challenges of affordability and retention. General information on BNED LoudCloud can be obtained by visiting the company's website: Unizin, Ltd. is a 501(c)(3) nonprofit consortium of 22 leading universities dedicated to promoting affordability, access, and learner success in digital education. Unizin’s interoperable technology ecosystem supports the diverse teaching and learning environments across its institutions. Unizin solutions promote technology standards, enable integrations, eliminate the learner analytics black box, ensure accessibility of content and data, preserve and promote faculty choice, and support institutional collaboration. Unizin is operated by its member institutions through a Board of Directors. Unizin is headquartered in Austin, Texas. For more on Unizin, visit

Demski L.S.,New College of Florida
Brain, Behavior and Evolution | Year: 2013

Three interrelated pallial areas mediate behaviors reflective of the cognitive and emotional aspects of the teleost mind. The dorsocentral area (Dc) has specific associations with both of the other pallial areas and projects to major lower sensorimotor centers. While Dc generally functions as an output or modulatory component of the pallium, it probably also has integrative features important for certain behaviors. The dorsolateral region (Dl) has dorsal (Dld) and ventral (Dlv) divisions. In association with the dorsal part of Dc, Dld processes visual information via a 'tectal loop' which is hypertrophied in certain coral reef species. The region also receives afferents related to other modalities. Functionally, Dld resembles the tetrapod sensory neocortex. Anatomical and behavioral data (i.e. involvement in spatial and temporal learning) strongly suggest that Dlv is homologous to the tetrapod hippocampus. The dorsal part of the dorsomedial area (Dmd) processes acoustic, lateral line, gustatory, and multimodal information. It has reciprocal connections with Dld such that the Dmd and Dld together can be considered the teleost nonolfactory 'sensory pallium'. Behavioral studies indicate that Dmd creates the 'fear' necessary for defense/escape and avoidance behaviors and controls several components of species-typical sexual and aggressive behavior (responsiveness, behavioral sequencing, and aspects of social cognition). While the functional results generally support the anatomical evidence that Dmd is homologous to the tetrapod amygdala, a case can also be made that Dmd has 'sensory neocortex-like' features. Understanding the interrelationships of Dl, Dmd, and Dc seems a necessary 'next step' in the identification of the neural processes responsible for mental experiences such as those of a unified sensory experience (Umwelt) or of feelings of discomfort versus well- being. © 2013 S. Karger AG, Basel.

Colladay D.,New College of Florida
Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics | Year: 2017

A new perspective on the classical mechanical formulation of particle trajectories in Lorentz-violating theories is presented. Using the extended hamiltonian formalism, a Legendre Transformation between the associated covariant lagrangian and hamiltonian varieties is constructed. This approach enables calculation of trajectories using Hamilton's equations in momentum space and the Euler–Lagrange equations in velocity space away from certain singular points that arise in the theory. Singular points are naturally de-singularized by requiring the trajectories to be smooth functions of both velocity and momentum variables. In addition, it is possible to identify specific sheets of the dispersion relations that correspond to specific solutions for the lagrangian. Examples corresponding to bipartite Finsler functions are computed in detail. A direct connection between the lagrangians and the field-theoretic solutions to the Dirac equation is also established for a special case. © 2017 The Author

Harley H.E.,New College of Florida
Journal of Comparative Physiology A: Neuroethology, Sensory, Neural, and Behavioral Physiology | Year: 2013

For millennia, dolphins have intrigued humans. Scientific study has confirmed that bottlenose dolphins are large-brained, highly social mammals with an extended developmental period, flexible cognitive capacities, and powerful acoustic abilities including a sophisticated echolocation system. These findings have led some to ask if dolphins experience aspects of consciousness. Recent investigations targeting self-recognition/self-awareness and metacognition, constructs tied to consciousness on some accounts, have analyzed the dolphin's ability to recognize itself in a mirror or on a video as well as to monitor its own knowledge in a perceptual categorization task. The current article reviews this work with dolphins and grapples with some of the challenges in designing, conducting, and interpreting these studies as well as with general issues related to studying consciousness in animals. The existing evidence does not provide a convincing case for consciousness in dolphins. For productive scientific work on consciousness in dolphins (and other animals including humans), we need clearer characterizations of consciousness, better methods for studying it, and appropriate paradigms for interpreting outcomes. A current focus on metamemory in animals offers promise for future discovery in this area. © 2013 Springer-Verlag Berlin Heidelberg.

Colladay D.,New College of Florida | McDonald P.,New College of Florida
Physical Review D - Particles, Fields, Gravitation and Cosmology | Year: 2015

Several Lagrangians associated with classical limits of Lorentz-violating fermions in the standard model extension (SME) have been shown to yield Finsler functions when the theory is expressed in Euclidean space. When spin couplings are present, the Lagrangian can develop singularities that obstruct the construction of a globally defined Legendre transformation, leading to singular Finsler spaces. A specific sector of the SME where such problems arise is studied. It is found that the singular behavior can be eliminated by an appropriate lifting of the problem to an associated algebraic variety. This provides a smooth classical model for the singular problem. In Euclidean space, the procedure involves combining two related singular Finsler functions into a single smooth function with a semi-positive-definite quadratic form defined on a desingularized variety. © 2015 American Physical Society.

Ruppeiner G.,New College of Florida
Journal of Physics: Conference Series | Year: 2013

Thermodynamics unavoidably contains fluctuation theory, expressible in terms of a unique thermodynamic information metric. This metric produces an invariant thermodynamic Riemannian curvature scalar R which, in fluid and spin systems, measures interatomic interactions. Specifically, |R| measures the size of organized fluctuating microscopic structures, and the sign of R indicates whether the interactions are effectively attractive or repulsive. R has also been calculated for black hole thermodynamics for which there is no consensus about any underlying microscopic structures. It is hoped that the physical interpretation of R in fluid and spin systems might offer insight into black hole microstructures. I give a brief review of results for R in black holes, including stability, the sign of R, R 0, diverging |R|, and various claims of "inconsistencies" in thermodynamic metric geometry. © Published under licence by IOP Publishing Ltd.

Ruppeiner G.,New College of Florida
American Journal of Physics | Year: 2010

Thermodynamic fluctuation theory originated with Einstein, who inverted the relation S=kB ln Ω to express the number of states in terms of entropy: Ω=exp(S/kB). The theory's Gaussian approximation is discussed in most statistical mechanics texts. I review work showing how to go beyond the Gaussian approximation by adding covariance, conservation, and consistency. This generalization leads to a fundamentally new object: The thermodynamic Riemannian curvature scalar R, a thermodynamic invariant. I argue that {pipe}R{pipe} is related to the correlation length and suggest that the sign of R corresponds to whether the interparticle interactions are effectively attractive or repulsive. © 2010 American Association of Physics Teachers.

Ruppeiner G.,New College of Florida
Physical Review E - Statistical, Nonlinear, and Soft Matter Physics | Year: 2012

I evaluate the thermodynamic curvature R for fourteen pure fluids along their liquid-vapor coexistence curves, from the critical point to the triple point, using thermodynamic input from the NIST Chemistry WebBook. In this broad overview, R is evaluated in both the coexisting liquid and vapor phases. R is an invariant whose magnitude |R| is a measure of the size of mesoscopic organized structures in a fluid, and whose sign specifies whether intermolecular interactions are effectively attractive (R<0) or repulsive (R>0). I discuss five principles for R in pure fluids: (1) Near the critical point, the attractive part of the interactions forms loose structures of size |R| proportional to the correlation volume ξ3, and the sign of R is negative. (2) In the vapor phase, there are instances of compact clusters of size |R| formed by the attractive part of the interactions and prevented from collapse by the repulsive part of the interactions, and the sign of R is positive. (3) In the asymptotic critical point regime, the R's in the coexisting liquid and vapor phases are equal to each other, i.e., commensurate. (4) Outside the asymptotic critical-point regime incommensurate R's may be associated with metastability. (5) The compact liquid phase has |R| on the order of the volume of a molecule, with the sign of R being negative for a liquidlike state held together by attractive interactions and the sign of R being positive for a solidlike state held up by repulsive interactions. These considerations amplify and extend the application of thermodynamic curvature in pure fluids. © 2012 American Physical Society.

Agency: NSF | Branch: Standard Grant | Program: | Phase: PLANETARY ASTRONOMY | Award Amount: 244.15K | Year: 2014

This Research at Undergraduate Institutions (RUI) award from the Chemical Measurement and Imaging (CMI) Program in the Division of Chemistry, with co-funding from the Computer and Data-Enabled Science and Engineering (CDS&E) and Planetary Astronomy Programs, supports Professor Steven T. Shipman and his students at New College of Florida as they develop new tools that will help scientists analyze data from the atmospheres of planets, including our own and large clouds of molecules in space. The new tools are based on high-speed electronics that allow scientists to collect significantly more information about their samples than was previously possible. Software is being developed that takes advantage of these high-speed data-collectors and uses new computing techniques to process the influx of data. All the work is being performed by undergraduate students working with the principal investigator. The new software will be publicly shared.

The investigators are using new high-speed digitizers along with grid computing techniques to rapidly acquire and analyze rotational spectra of molecules of relevance to interstellar and atmospheric chemistry at temperatures ranging from roughly 250 to 325 K. In this temperature range, rotational spectra are extremely complex due to contributions from large amplitude motion and thermally-populated excited vibrational and conformational states. A new digitizer with a nearly 8000x speed advantage over current instrumentation is being used in conjunction with temperature-dependent and microwave-microwave double resonance measurements to automatically determine lower state energies and energy level connectivities of a large number of peaks in observed spectra. Software that is being developed, based on genetic algorithms and other approaches, will use this information to greatly ease the spectral assignment process. These algorithms will be ported to a grid computing platform to take maximum advantage of their parallelism and to further reduce the spectral analysis time.

Agency: NSF | Branch: Standard Grant | Program: | Phase: Chemical Measurement & Imaging | Award Amount: 93.00K | Year: 2011

Professor Steven T. Shipman of New College of Florida is supported by the Chemical Measurement and Imaging (CMI) Program in the Division of Chemistry (with co-funding from the Division of Astronomical Sciences) to study the spectroscopy of interstellar weeds - molecules (such as methyl formate or dimethyl ether) that are relatively abundant in the interstellar medium (ISM). The dense and unpredictable spectra of these weeds generally frustrate attempts to identify new molecules in the ISM. The objective of this research is to obtain high-quality rotational spectra of these compounds at room temperature. These results will lead to better predictions of weed transition frequencies, significantly aiding astrochemists in the search for new complex molecules in the ISM.

Undergraduate students involved in this project will be directly participating in research addressing fundamental questions about the origins of complex molecules in the universe. As part of this work, they will gain experience in molecular spectroscopy, computational chemistry, and the construction of scientific instrumentation in a tight-knit academic environment that fosters close interactions between students and faculty mentors. Students will acquire experience crafting scientific arguments and communicating the results of their research to the broader scientific community. Educational impact will be enhanced by making the equipment available via cyber-access.

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