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The CES-D scale: A self-report depression scale for research in the general population

by Lenore Sawyer Radloff - Applied Psychological Measurement , 1977
"... The CES-D scale is a short self-report scale designed to measure depressive symptomatology in the general population. The items of the scale are symptoms associated with depression which have been used in previously validated longer scales. The new scale was tested in household interview surveys and ..."
Abstract - Cited by 2835 (1 self) - Add to MetaCart
The CES-D scale is a short self-report scale designed to measure depressive symptomatology in the general population. The items of the scale are symptoms associated with depression which have been used in previously validated longer scales. The new scale was tested in household interview surveys

FastSLAM: A Factored Solution to the Simultaneous Localization and Mapping Problem

by Michael Montemerlo, Sebastian Thrun, Daphne Koller, Ben Wegbreit - In Proceedings of the AAAI National Conference on Artificial Intelligence , 2002
"... The ability to simultaneously localize a robot and accurately map its surroundings is considered by many to be a key prerequisite of truly autonomous robots. However, few approaches to this problem scale up to handle the very large number of landmarks present in real environments. Kalman filter-base ..."
Abstract - Cited by 599 (10 self) - Add to MetaCart
The ability to simultaneously localize a robot and accurately map its surroundings is considered by many to be a key prerequisite of truly autonomous robots. However, few approaches to this problem scale up to handle the very large number of landmarks present in real environments. Kalman filter

Fast Algorithms for Mining Association Rules

by Rakesh Agrawal, Ramakrishnan Srikant , 1994
"... We consider the problem of discovering association rules between items in a large database of sales transactions. We present two new algorithms for solving this problem that are fundamentally different from the known algorithms. Empirical evaluation shows that these algorithms outperform the known a ..."
Abstract - Cited by 3612 (15 self) - Add to MetaCart
algorithms by factors ranging from three for small problems to more than an order of magnitude for large problems. We also show how the best features of the two proposed algorithms can be combined into a hybrid algorithm, called AprioriHybrid. Scale-up experiments show that AprioriHybrid scales linearly

The struggle to govern the commons

by Thomas Dietz, Elinor Ostrom, Paul C. Stern - Science , 2003
"... Human institutions—ways of organizing activities—affect the resilience of the environ-ment. Locally evolved institutional arrangements governed by stable communities and buffered from outside forces have sustained resources successfully for centuries, al-though they often fail when rapid change occu ..."
Abstract - Cited by 661 (17 self) - Add to MetaCart
occurs. Ideal conditions for governance are increasingly rare. Critical problems, such as transboundary pollution, tropical deforesta-tion, and climate change, are at larger scales and involve nonlocal influences. Promising strategies for addressing these problems include dialogue among interested

A Data Locality Optimizing Algorithm

by Michael E. Wolf, Monica S. Lam , 1991
"... This paper proposes an algorithm that improves the locality of a loop nest by transforming the code via interchange, reversal, skewing and tiling. The loop transformation algorithm is based on two concepts: a mathematical formulation of reuse and locality, and a loop transformation theory that unifi ..."
Abstract - Cited by 804 (16 self) - Add to MetaCart
, and Givens QR factorization. Performance evaluation indicates that locality optimization is especially crucial for scaling up the performance of parallel code.

TOSSIM: Accurate and Scalable Simulation of Entire TinyOS Applications

by Philip Levis, Nelson Lee, Matt Welsh, David Culler , 2003
"... Accurate and scalable simulation has historically been a key enabling factor for systems research. We present TOSSIM, a simulator for TinyOS wireless sensor networks. By exploiting the sensor network domain and TinyOS’s design, TOSSIM can capture network behavior at a high fidelity while scaling to ..."
Abstract - Cited by 784 (19 self) - Add to MetaCart
Accurate and scalable simulation has historically been a key enabling factor for systems research. We present TOSSIM, a simulator for TinyOS wireless sensor networks. By exploiting the sensor network domain and TinyOS’s design, TOSSIM can capture network behavior at a high fidelity while scaling

Understanding packet delivery performance in dense wireless sensor networks

by Jerry Zhao , 2003
"... Wireless sensor networks promise fine-grain monitoring in a wide variety of environments. Many of these environments (e.g., indoor environments or habitats) can be harsh for wireless communication. From a networking perspective, the most basic aspect of wireless communication is the packet delivery ..."
Abstract - Cited by 661 (15 self) - Add to MetaCart
performance:the spatio-temporal characteristics of packet loss, and its environmental dependence. These factors will deeply impact the performance of data acquisition from these networks. In this paper, we report on a systematic medium-scale (up to sixty nodes) measurement of packet delivery in three

Capacity of Ad Hoc Wireless Networks

by Jinyang Li, Charles Blake, Douglas S. J. De Couto, Hu Imm Lee, Robert Morris
"... Early simulation experience with wireless ad hoc networks suggests that their capacity can be surprisingly low, due to the requirement that nodes forward each others’ packets. The achievable capacity depends on network size, traffic patterns, and detailed local radio interactions. This paper examine ..."
Abstract - Cited by 636 (14 self) - Add to MetaCart
examines these factors alone and in combination, using simulation and analysis from first principles. Our results include both specific constants and general scaling relationships helpful in understanding the limitations of wireless ad hoc networks. We examine interactions of the 802.11 MAC and ad hoc

Recovering High Dynamic Range Radiance Maps from Photographs

by Paul E. Debevec, Jitendra Malik
"... We present a method of recovering high dynamic range radiance maps from photographs taken with conventional imaging equipment. In our method, multiple photographs of the scene are taken with different amounts of exposure. Our algorithm uses these differently exposed photographs to recover the respon ..."
Abstract - Cited by 859 (15 self) - Add to MetaCart
the response function of the imaging process, up to factor of scale, using the assumption of reciprocity. With the known response function, the algorithm can fuse the multiple photographs into a single, high dynamic range radiance map whose pixel values are proportional to the true radiance values in the scene

Scale factor/

by unknown authors
"... η I G (J PC) = 0 + (0 − +) We have omitted some results that have been superseded by later experiments. The omitted results may be found in our 1988 edition Physics Letters B204 (1988). η MASS We no longer use the bubble-chamber measurements from the 1960’s, which seem to have been systematically h ..."
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high by about 1 MeV. (However, note that the latest measurement is midway between those old values and the newer ones.) Some early results have been omitted altogether. VALUE (MeV) EVTS DOCUMENT ID TECN COMMENT 547.51 ±0.18 OUR AVERAGE Error includes scale factor of 5.8. See the ideogram below. 547
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