598 research outputs found
Tables - Supplemental material for Efficacy and Patient Satisfaction Associated With Intramuscular Triamcinolone Therapy for Acute Flares of Hidradenitis Suppurativa
Supplemental material, Tables, for Efficacy and Patient Satisfaction Associated With Intramuscular Triamcinolone Therapy for Acute Flares of Hidradenitis Suppurativa by Gabrielle Benesh, Tyler M. Andriano, H. Dean Hosgood and Steven R. Cohen in Journal of Cutaneous Medicine and Surgery</p
necromancer
A collection of poetry by Tyler M. Michaud submitted to Rutgers University - Newark as a requirement for the M.F.A. in Creative Writing.M.F.A.Includes bibliographical reference
Fabrication of bismuth ferrite nanoparticles via pulsed laser ablation in liquid
Bismuth ferrite (BFO) is a room-temperature multiferroic material which exhibits an above-bandgap photovoltaic response as well as photocatalytic properties. This interesting coupling of effects means that BFO may have many useful applications in fields ranging from solar energy generation to multifunctional electronic devices. Herein, bismuth ferrite nanoparticles are fabricated using pulsed laser ablation in liquid (PLAL), a quick, simple, green technique of nanostructure generation in which a bulk solid target is irradiated with incident pulsed laser light in a liquid. The extreme temperatures and pressures generated in the resulting plasma can result in novel nanostructures and even metastable phases of nanomaterials not otherwise able to be created. Raman spectroscopy indicates the fabrication of a metastable phase of tetragonal-like BFO nanoparticles by pulsed laser ablation in liquid. These nanoparticles are also shown to be very small and monodisperse. Bulk solid solutions of BFO were prepared by conventional solid state sintering. Raman spectra of the bulk BFO samples were in agreement with published spectra for rhombohedrally distorted phase BFO with R3c symmetry. The bulk BFO was then ablated via PLAL, varying parameters of laser wavelength, energy, and liquid composition. PLAL yielded colloidal solutions of nanoparticles which were then characterized. Furthermore post laser irradiation (PLI) was carried out upon the nanoparticle solutions resulting in smaller and more monodisperse nanoparticles.M.S.Includes bibliographical referencesby Tyler Christian Butle
End user development environment for decision support systems
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.Cataloged from PDF version of thesis.Includes bibliographical references (p. 91-92).This thesis describes an end user programming environment that allows non-programmers to create decision support protocols for use on electronic devices. User centered design techniques were followed to identify the difficulties encountered by users when attempting to create complex protocols, specifically addressing the problems of the scale, complexity, and specificity required for a protocol to be effectively used. The result is a highly usable desktop client graphical user interface which can create protocols that can be exported in portable formats. A summative user study was conducted on the finished software in order to evaluate its success in enabling non-programmers to author protocols.by Clayton Tyler Sims.M.Eng
Smart kiosk information navigation and note-posting interface
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Includes bibliographical references (leaves 89-91).SKINNI is an application that allows users to access, annotate, and share contextually relevant information from smart digital kiosks in public spaces. These platforms will not only enable information exchange from public spaces, but will also support more complex tasks like enterprise integration, informal collaboration, and public need servicing. To test the effectiveness of our system, we deployed SKINNI on four kiosks throughout MIT CSAIL. Usage statistics that we have gathered suggest that SKINNI has been well-received by both lab members and visitors. In short, SKINNI has contributed to the utility of ubiquitous computing in transitional spaces like elevator lobbies, hallways, and lounges.by Tyler Bruce Horton.M.Eng
An exploratory descriptive study of the significance of self-esteem, anxiety, and social support on teen pregnancy, 1995
Autonomous learning of nonlocal stochastic neuron dynamics
Neuronal dynamics is driven by externally imposed or internally generated
random excitations/noise, and is often described by systems of random or
stochastic ordinary differential equations. Such systems admit a distribution
of solutions, which is (partially) characterized by the single-time joint
probability density function (PDF) of system states. It can be used to
calculate such information-theoretic quantities as the mutual information
between the stochastic stimulus and various internal states of the neuron
(e.g., membrane potential), as well as various spiking statistics. When random
excitations are modeled as Gaussian white noise, the joint PDF of neuron states
satisfies exactly a Fokker-Planck equation. However, most biologically
plausible noise sources are correlated (colored). In this case, the resulting
PDF equations require a closure approximation. We propose two methods for
closing such equations: a modified nonlocal large-eddy-diffusivity closure and
a data-driven closure relying on sparse regression to learn relevant features.
The closures are tested for the stochastic non-spiking leaky integrate-and-fire
and FitzHugh-Nagumo (FHN) neurons driven by sine-Wiener noise. Mutual
information and total correlation between the random stimulus and the internal
states of the neuron are calculated for the FHN neuron.Comment: 28 pages, 12 figures, First author: Tyler E. Maltba, Corresponding
author: Daniel M. Tartakovsk
Sometimes it’s good, sometimes it’s bad: intergroup contact, personality, and weight bias
Background: Higher body weight individuals are frequently the targets of negative weight-based attitudes, at times resulting in discrimination. Workplace discrimination harms the well-being of larger individuals by increasing their stress levels and reducing their chances of being hired or promoted. Thus, understanding why people hold these negative attitudes is important. Further, little is known about the role personality characteristics (e.g., essentialist thinking) play in the formation of these attitudes. The aim of this study then was to examine how body weight affects competence-based judgements of female employees, and furthermore, to determine whether an individual’s personality features influence these judgements.
Methods: College students (N = 161) from a northeastern university were recruited to participate in this study, and the study took place entirely online. Participants were mostly female (60.9%), the average age was 20.64 years (SD = 3.29), and the average BMI was 25.40 (SD = 5.06). Our sample was ethnically diverse, with participants identifying as White (45.3%), Black (29.8%), Hispanic (18.0%), Asian (9.3%), and other (3.7%). Participants responded to twelve images of three identically dressed women of varying body sizes. Participants were asked to rate each image on a 6-item global competence measure (Howelett et al., 2015), completed personality and bias measures, and were asked what they believed the study was about.
Results: Most participants (82%) reported believing the study was about weight/physical appearance and how that influenced judgments of work ability or competence. Regardless of their understanding of the purpose of the study, participants still assigned significantly lower competence ratings when the target female was ‘obese’ (M = 4.30, SD = 1.15) than ‘overweight’ (M = 4.81, SD = 0.96) or ‘normal weight’ (M = 4.90, SD = 1.00; F(2, 159) = 26.53, p < .001, η2 = .14). Using Repeated Measures ANCOVAs, we found that Essentialist Entitativity beliefs had a small but not significant effect on competence ratings (F(2, 159) = 2.26, p = .108, η2 = .02), and Need for Cognitive Closure had a small significant effect (F(2,159) = 3.88, p = .022, η2 = .02).
Discussion: These findings are consistent with past research revealing a link between ratings of competence and body size. Specifically, individuals with larger body sizes were deemed to be less competent than individuals with smaller body sizes.This poster was presented at the first annual Celebration of Undergraduate Research and Creative Activity while the author was an undergraduate student at Rutgers University-Camden
The Impact of Resistance Exercise on Neurotransmission Failure within Trained Participants
On the computation and finite sample behavior of the constrained M-estimates for multivariate location and scatter
Constrained M (CM) estimates of multivariate location and scatter [Kent, J. T., Tyler, D. E. (1996). Constrained M-estimation for multivariate location and scatter. Ann. Statist. 24:1346-1370] are defined as the global minimum of an objective function subject to a constraint. These estimates combine the good global robustness properties of the S estimates and the good local robustness properties of the redescending M estimates. The CM estimates are not explicitly defined. Numerical methods have to be used to compute the CM estimates. In this paper, we give an algorithm to compute the CM estimates. Using the algorithm, we give a small simulation study to demonstrate the capability of the algorithm finding the CM estimates, and also to explore the finite sample behavior of the CM estimates. We also use the CM estimators to estimate the location and scatter parameters of some multivariate data sets to see the performance of the CM estimates dealing with the real data sets that may contain outliers.National Science Foundation: IRI 95-30546, 06/15/96-05/31/99 Universiteit StellenboschThe author thanks the Editor-in-chief for his comments and suggestions which helped to improve the presentation of this paper. The support of the National Science Foundation under the grant IRI 95-30546, 06/15/96-05/31/99 (P. Meer, J. Cabrera, D. Tyler, Rutgers University, NJ, US) is gratefully acknowledged
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