3,462 research outputs found
A checklist of New Jersey periodicals in the Special Collections Department, Rutgers University
No full textcompiled by Ronald L. BeckerIncludes index
Métricas de autor Alexander Sellamén-Garzón
No full textInforme de las métricas de autor del Dr. Alexander Sellamén-Garzón de las publicaciones indexadas en Google Académico cuyo objetivo es entregar un insumo para el fortalecimiento de las capacidades y potencialidades de los autores de la Universidad Santo Tomás en el posicionamiento y visibilidad de sus publicacionesReport of the author metrics Alexander Sellamén-Garzón of the publications indexed in Google Scholar whose objective is to provide an input for the strengthening of the capacities and potentialities of the authors of the Santo Tomás University in the positioning and visibility of their publicationshttp://unidadinvestigacion.usta.edu.c
Métricas de autor Alexander Cotte Poveda
No full textInforme de las métricas de autor del Dr. Alexander Cotte Poveda de las publicaciones indexadas en Google Académico cuyo objetivo es entregar un insumo para el fortalecimiento de las capacidades y potencialidades de los autores de la Universidad Santo Tomás en el posicionamiento y visibilidad de sus publicacionesReport of the author metrics Alexander Cotte Poveda of the publications indexed in Google Scholar whose objective is to provide an input for the strengthening of the capacities and potentialities of the authors of the Santo Tomás University in the positioning and visibility of their publications.http://unidadinvestigacion.usta.edu.c
If Alexander Didn’t Exist: Refining Lee L. Brice’s Analysis of Philip II’s Revolution in Military Affairs
No full textIn Lee L. Brice’s article, “Philip
II, Alexander the Great,
and the Question of a Macedonian
‘Revolution in Military Affairs,’”
he begins by defining the
conditions necessary for a Revolution
in Military Affairs (RMA) to
occur, and then investigates whether
Philip II of Macedon fulfilled those
conditions. He concludes that “Philip
did initiate a major RMA that his
son saw through to fruition” but
that, although he “came so close,” he
did not fully achieve a major RMA
within his own reign.1 That Philip
and his son revolutionized warfare
together is inarguable to this author.
However, the far more interesting
question is: If Alexander was never
born, can the argument be made
against Brice that Philip achieved a
major RMA regardless? The answer
is yes
Generating landslide density heatmaps for rapid detection using open-access satellite radar data in Google Earth Engine
No full textRapid detection of landslides is critical for emergency response, disaster mitigation, and improving our understanding of landslide dynamics. Satellite-based synthetic aperture radar (SAR) can be used to detect landslides, often within days of a triggering event, because it penetrates clouds, operates day and night, and is regularly acquired worldwide. Here we present a SAR backscatter change approach in the cloud-based Google Earth Engine (GEE) that uses multi-temporal stacks of freely available data from the Copernicus Sentinel-1 satellites to generate landslide density heatmaps for rapid detection. We test our GEE-based approach on multiple recent rainfall- and earthquake-triggered landslide events. Our ability to detect surface change from landslides generally improves with the total number of SAR images acquired before and after a landslide event, by combining data from both ascending and descending satellite acquisition geometries and applying topographic masks to remove flat areas unlikely to experience landslides. Importantly, our GEE approach does not require downloading a large volume of data to a local system or specialized processing software, which allows the broader hazard and landslide community to utilize and advance these state-of-the-art remote sensing data for improved situational awareness of landslide hazards.We thank the National Aeronautics and Space Administration (NASA), the European Space Agency (ESA) Copernicus program, and Google Earth Engine for providing freely available data and processing. We thank the Geospatial Information Authority of Japan (GSI) and Association of Japanese Geographers (AJG) for providing the Hiroshima landslide inventory, Zhang et al. (2018) for providing the Hokkaidō landslide inventory, and the USGS for providing the Haiti landslide inventory. Part of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration (80NM0018D0004).
Funding for this work came from the NSF PREEVENTS-2023112 grant (Alexander L. Handwerger), NSF EAR-2026099 (Mong-Han Huang), and High Mountain Asia NNX16AT79G and Disaster Risk Reduction and Response 18-DISASTER18-0022 (Dalia B. Kirschbaum and Pukar Amatya).https://nhess.copernicus.org/articles/22/753/2022
L/S-Band Frequency Reconfigurable Multiscale Phased Array Antenna With Wide Angle Scanning
No full textA frequency reconfigurable phased array element is presented. The operational band of the single port L/S-band antenna can be selected by modifying the element apertures with p-I-n diode switches. The antenna element satisfies strict requirements on its frequency band separation (2.2:1), size, feeding structure and control lines to be integrated into a phased array system. A multi-scale array topology is proposed to achieve wide angle scanning (±60°) in both operational bands of the array.Accepted author manuscriptMicrowave Sensing, Signals & System
Hedging with Stochastic and Local Volatility
No full textWe derive the local volatility hedge ratios that are consistent with a stochastic instantaneous volatility and show that this ‘stochastic local volatility’ model is equivalent to the market model for implied volatilities. We also show that a common feature of all Markovian single factor stochastic volatility models, (log)normal mixture option pricing models and ‘sticky delta’ models is that they predict incorrect dynamics for implied volatility. As a result they over-hedge the Black-Scholes model in the presence of a market skew and this explains the poor delta hedging performance of these models reported in the literature. Whilst the traditional ‘sticky tree’ local volatility models do not possess this unfortunate property, they cannot be used for pricing without exogenous and ad hoc smoothing of results. However the stochastic local volatility framework allows one to extend a good pricing model into a good hedging model. The theoretical results are supported by an empirical analysis of the hedging performance of seven models, each with different volatility characteristics, on the SP500 index skew.Local volatility, stochastic volatility, implied volatility, hedging, dynamic delta hedging, volatility dymamics
Some Comments on the Question Whether Co-Occurrence Data Should Be Normalized
No full textIn a recent article in JASIST, L. Leydesdorff and L. Vaughan (2006) asserted that raw cocitation data should be analyzed directly, without first applying a normalization such as the Pearson correlation. In this communication, it is argued that there is nothing wrong with the widely adopted practice of normalizing cocitation data. One of the arguments put forward by Leydesdorff and Vaughan turns out to depend crucially on incorrect multidimensional scaling maps that are due to an error in the PROXSCAL program in SPSS.multidimensional scaling;PROXSCAL;Pearson correlation;author cocitation analysis;co-occurrence data;normalization
Markov moves, L^2-Burau maps and Lehmer's constants
No full textWe study the effect of Markov moves on L^2-Burau maps of braids, in order to construct link invariants from these maps with a process mirroring the well-known Alexander-Burau formula. We prove such a Markov invariance for the L^2-Burau maps which descend to the groups of the braid closures or lower, and for which the associated link invariants are twisted L^2-Alexander torsions. When the L^2-Burau map descends to a link group, the corresponding link invariant was known to be the L^2-Alexander torsion of the link by a previous result of A. Conway and the author. Furthermore, we find two counter-examples to Markov invariance, meaning two families of L^2-Burau maps that cannot yield link invariants with the process described in our paper. The proofs use relations between Fuglede-Kadison determinants, Mahler measures, and random walks on Cayley graphs, as well as works of Boyd, Bartholdi and Dasbach-Lalin. Along the way, we compute new values for Fuglede-Kadison determinants over non-cyclic free groups. As a consequence, we partially answer a question of Lück, as we provide new upper bounds for Lehmer's constants for all torsionfree groups which have non-cyclic free subgroups. Our results suggest that twisted L^2-Alexander torsions are the only link invariants we can hope to construct from L^2-Burau maps with the present approach
The Future of Testing: Author Index
No full textThe Future of Testing: Author Index (12 pages)
A
Aagard , J. A., 3 1, 32,62
Abrams , R., 229, 230, 232, 236, 243
Adair, F. L., 193,200
Adams, K. M., 223, 236
Adler, P. T. , 197, 200
Airasian, P. W., 33, 5 1,62,94,97, 11 6, 132, 139
Alexander, P. , 55, 67
Alexander, R. A., 32, 62
Alexander, R. S., 50, 65
Algina, 1. , 97 , 11 2, 122 , 124, 137, 142, 143
Allen, D. W., 30, 33,64
Alpert , D., 52, 62
Altemeyer, R. A., 46, 62
Amos, K. M. , 130, 133
Anastas i, A., 10 , 18, 25,78 , 79,80,87, 189, 199 ,200, 272,287
Anastasio , E. 1., 3 1, 64
Anderson, B., 75, 87
Anderson, D., 2 13, 2 14, 229, 230 , 243
Anderson, R. c., 104, 133
Andreasen, N. c., 23 1, 236
Andresky, S., 13, 25
Andrew, B. 1. , III , 133, 150, 155, 179
Angoff, W. H. , 109, III , 11 8, 125, 128 , 138, 150, 179
Anthony , W. Z., 209, 220, 236
Archambault , F. X., 111 , 133
...
Y/Z
Yagel, 1. c. , 54, 64
Yallow, E. S., 11 7, 143
Yen, W. M., 34, 69
Yeudall , L. T. , 232, 238
York, R. L., 17, 25
Young, L. D. , 23 1, 244
Ysseldyke, J. E., 11 9, 143
Zachary , R. A., 29 , 42,57,59,69
Zatz, L. M. , 232 , 239
Zelazowski, R., 232, 239
Zener, T. B. , 254, 267
Zieky , M. 1. , 107, 109, 11 2, 11 3, 114, 128, 138
Zigmond, N., 11 6, 138
Zisk in , 1. , 186 , 188 , 189 , 190 , 191, 201
Zuger, R. , 234, 244
Zytowski , D. G. , 246, 248, 252 , 254, 255 , 26
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