University of Texas at Dallas

About: University of Texas at Dallas is a education organization based out in Richardson, Texas, United States. It is known for research contribution in the topics: Population & Computer science. The organization has 14986 authors who have published 35589 publications receiving 1293714 citations. The organization is also known as: UT-Dallas & UT Dallas.

Elastomeric and Dynamic MnO2/CNT Core–Shell Structure Coiled Yarn Supercapacitor

Abstract: Reversibly deformable and highly performing solid-state yarn supercapacitors are obtained using MnO2-deposited microcoiled yarn electrodes. The core(CNT)-shell(MnO2)-structured coiled electrodes achieve high stretchability (37.5%) without the help of elastomeric substrates, minimizing the size of the supercapacitors. Therefore, high specific capacitances of 34.6 F cm−3, 61.25 mF cm−2, and 2.72 mF cm−1 are achieved for coiled supercapacitors without impairing mechanical stretchability or electrochemical cyclability. Disciplines Engineering | Science and Technology Studies Publication Details Choi, C., Sim, H. Jun., Spinks, G. M., Lepró, X., Baughman, R. H. & Kim, S. Jeong. (2016). Elastomeric and dynamic MnO2/CNT core-shell structure coiled yarn supercapacitor. Advanced Energy Materials, 6 (5), 1502119-1-1502119-8. Authors Changsoon Choi, Hyeon Jun Sim, Geoffrey M. Spinks, Xavier Lepró, Ray H. Baughman, and Seon Jeong Kim This journal article is available at Research Online: http://ro.uow.edu.au/eispapers/5129 1 DOI: 10.1002/ ((please add manuscript number)) Article type: Communication Elastomeric and Dynamic MnO2/CNT Core-Shell Structure Coiled Yarn Supercapacitor Changsoon Choi, Hyeon Jun Sim, Geoffrey M. Spinks, Xavier Lepro, Ray H. Baughman and Seon Jeong Kim* C. Choi, H. J. Sim, Prof. S. J. Kim Center for Self-powered Artificial Muscle and Department of Biomedical Engineering, Hanyang University, Seoul 133-791, Korea, [*] E-mail: sjk@hanyang.ac.kr Prof. G. M. Spinks, Intelligent Polymer Research Institute, ARC Centre of Excellence for Electromaterials Science, University of Wollongong, Wollongong, NSW 2522, Australia. Dr. X. Lepro, Prof. R. H. Baughman The Alan G. MacDiarmid Nano Tech Institute, University of Texas at Dallas, Richardson, TX, 75083, USA.

Optical properties of vanadium dioxide and vanadium pentoxide thin films.

Abstract: Several oxides of vanadium undergo a transition from a semiconductor or insulating state to a metal phase at a critical temperature. Vanadium dioxide undergoes this transition near 68 degrees C, while V(2)O(5) undergoes a similar phase transition near 257 degrees C. During the transition a change in oxide crystal structure is accompanied by large changes in electrical and optical behavior. Thin films of vanadium oxides are capable of reversibly switching from the semiconductor to the metallic state at high speeds and with high spatial resolution. Therefore, these oxides have potential use, particularly in thin film form, for a wide variety of applications involving thermally activated electronic or optical switching devices. Such films are of considerable technical interest because of applications in chemical sensors, energy-conserving coatings, transparent conductors, and switching materials. The numerous potential electronic, optical, and optoelectronic device applications which have been suggested have stimulated work on the preparation of thin films by a variety of techniques, including chemical vapor deposition, solgel, evaporation, and sputter deposition. This paper reviews the optical properties of vanadium oxide coatings and stresses the dependence of film properties on sample preparation and resultant film microstructure.

Comparison of nomograms with other methods for predicting outcomes in prostate cancer: a critical analysis of the literature.

Abstract: Purpose: Accurate estimates of risk are essential for physicians if they are to recommend a specific management to patients with prostate cancer. Accurate risk estimates are also required for clinical trial design, to ensure homogeneous patient groups. Because there is more than one model available for prediction of most outcomes, model comparisons are necessary for selection of the best model. We describe the criteria based on which to judge predictive tools, describe the limitations of current predictive tools, and compare the different predictive methodologies that have been used in the prostate cancer literature. Experimental Design: Using MEDLINE, a literature search was done on prostate cancer decision aids from January 1966 to July 2007. Results: The decision aids consist of nomograms, risk groupings, artificial neural networks, probability tables, and classification and regression tree analyses. The following considerations need to be applied when the qualities of predictive models are assessed: predictive accuracy (internal or ideally external validation), calibration (i.e., performance according to risk level or in specific patient subgroups), generalizability (reproducibility and transportability), and level of complexity relative to established models, to assess whether the new model offers advantages relative to available alternatives. Studies comparing decision aids have shown that nomograms outperform the other methodologies. Conclusions: Nomograms provide superior individualized disease-related risk estimations that facilitate management-related decisions. Of currently available prediction tools, the nomograms have the highest accuracy and the best discriminating characteristics for predicting outcomes in prostate cancer patients.

Security and Privacy in Cyber-Physical Systems: A Survey of Surveys

Abstract: The following is a survey on surveys and may help the interested reader to find a way through the jungle of literature on the security and CPS topics out there already In order to ease the search, the authors have provided a classification in CPS Domains, Attacks, Defenses, Research-trends, Network-security, Security level implementation, and Computational Strategies which makes this survey a unique and I believe very helpful article —Jorg Henkel, Karlsruhe Institute of Technology

Inferring Program Effects for Special Populations: Does Special Education Raise Achievement for Students with Disabilities?

Abstract: Most discussion of special education has centered on the costs of providing mandated programs for children with disabilities and not on their effectiveness. As in many other policy areas, inferring program effectiveness is difficult because students not in special education do not provide a good comparison group. By following students who move in and out of targeted programs, however, we are able to identify program effectiveness from changes over time in individual performance. We find that the average special education program significantly boosts mathematics achievement of special-education students, particularly those classified as learning-disabled or emotionally disturbed, while not detracting from regular-education students. These results are estimated quite precisely from models of students and school-by-grade-by-year fixed effects in achievement gains, and they are robust to a series of specification tests.