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Why Do Some Countries Produce So Much More Output Per Worker Than Others?

by Robert E. Hall, Charles I. Jones , 1998
"... Output per worker varies enormously across countries. Why? On an accounting basis, our analysis shows that differences in physical capital and educational attainment can only partially explain the variation in output per worker — we find a large amount of variation in the level of the Solow residual ..."
Abstract - Cited by 2442 (24 self) - Add to MetaCart
residual across countries. At a deeper level, we document that the differences in capital accumulation, productivity, and therefore output per worker are driven by differences in institutions and government policies, which we call social infrastructure. We treat social infrastructure as endogenous

HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks

by Ossama Younis, Sonia Fahmy - IEEE TRANS. MOBILE COMPUTING , 2004
"... Topology control in a sensor network balances load on sensor nodes and increases network scalability and lifetime. Clustering sensor nodes is an effective topology control approach. In this paper, we propose a novel distributed clustering approach for long-lived ad hoc sensor networks. Our proposed ..."
Abstract - Cited by 590 (1 self) - Add to MetaCart
proposed approach does not make any assumptions about the presence of infrastructure or about node capabilities, other than the availability of multiple power levels in sensor nodes. We present a protocol, HEED (Hybrid Energy-Efficient Distributed clustering), that periodically selects cluster heads

The Dantzig selector: statistical estimation when p is much larger than n

by Emmanuel Candes, Terence Tao , 2005
"... In many important statistical applications, the number of variables or parameters p is much larger than the number of observations n. Suppose then that we have observations y = Ax + z, where x ∈ R p is a parameter vector of interest, A is a data matrix with possibly far fewer rows than columns, n ≪ ..."
Abstract - Cited by 879 (14 self) - Add to MetaCart
, where r is the residual vector y − A˜x and t is a positive scalar. We show that if A obeys a uniform uncertainty principle (with unit-normed columns) and if the true parameter vector x is sufficiently sparse (which here roughly guarantees that the model is identifiable), then with very large probability

Residual Levels of Diazinon and Benomyl on Greenhouse Mushrooms

by Soheil Sobhanardakani
"... Background: Pesticides are one of the important sources of environmental pollution that influence human health. The aim of current study was to determine diazinon and benomyl residues levels in mushrooms grown in greenhouses. Methods: Mushroom samples were obtained from 10 active greenhouses of Hama ..."
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Background: Pesticides are one of the important sources of environmental pollution that influence human health. The aim of current study was to determine diazinon and benomyl residues levels in mushrooms grown in greenhouses. Methods: Mushroom samples were obtained from 10 active greenhouses

The Determinants of Credit Spread Changes.

by Pierre Collin-Dufresne , Robert S Goldstein , J Spencer Martin , Gurdip Bakshi , Greg Bauer , Dave Brown , Francesca Carrieri , Peter Christoffersen , Susan Christoffersen , Greg Duffee , Darrell Duffie , Vihang Errunza , Gifford Fong , Mike Gallmeyer , Laurent Gauthier , Rick Green , John Griffin , Jean Helwege , Kris Jacobs , Chris Jones , Andrew Karolyi , Dilip Madan , David Mauer , Erwan Morellec , Federico Nardari , N R Prabhala , Tony Sanders , Sergei Sarkissian , Bill Schwert , Ken Singleton , Chester Spatt , René Stulz - Journal of Finance , 2001
"... ABSTRACT Using dealer's quotes and transactions prices on straight industrial bonds, we investigate the determinants of credit spread changes. Variables that should in theory determine credit spread changes have rather limited explanatory power. Further, the residuals from this regression are ..."
Abstract - Cited by 422 (2 self) - Add to MetaCart
ABSTRACT Using dealer's quotes and transactions prices on straight industrial bonds, we investigate the determinants of credit spread changes. Variables that should in theory determine credit spread changes have rather limited explanatory power. Further, the residuals from this regression

Protein homology detection by HMM-HMM comparison

by Johannes Söding - BIOINFORMATICS , 2005
"... Motivation: Protein homology detection and sequence alignment are at the basis of protein structure prediction, function prediction, and evolution. Results: We have generalized the alignment of protein se-quences with a profile hidden Markov model (HMM) to the case of pairwise alignment of profile H ..."
Abstract - Cited by 401 (8 self) - Add to MetaCart
.7, and 3.3 times more good alignments (“balanced ” score> 0.3) than the next best method (COMPASS), and 1.6, 2.9, and 9.4 times more than PSI-BLAST, at the family, super-family, and fold level. Speed: HHsearch scans a query of 200 residues against 3691 domains in 33s on an AMD64 3GHz PC. This is 10

CALCULATION OF MAXIMUM RESIDUE LEVELS AND SAFETY INTERVALS

by Vi B Ii, Appendix I
"... 2.1 Sorting the residue results on a time basis ..."
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2.1 Sorting the residue results on a time basis

Dissipation and Residue Level of Thifluzamide in Rice Field Ecosystem

by Weitao Chen , Minghui Li , Wenxi Li , Xuemin Wu , Lijun Han
"... An efficient modified QuEChERS method combined with high performance liquid chromatography-tandem mass spectrometry detection (HPLC-MS/MS) was established and evaluated for the residue analysis of thifluzamide in rice grain, husk, straw, seedling, paddy water, and soil. Thifluzamide residues were e ..."
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An efficient modified QuEChERS method combined with high performance liquid chromatography-tandem mass spectrometry detection (HPLC-MS/MS) was established and evaluated for the residue analysis of thifluzamide in rice grain, husk, straw, seedling, paddy water, and soil. Thifluzamide residues were

DETERMINATION AND COMPARISON OF THE ORGANOCHLORINE PESTICIDE RESIDUE LEVELS AMONG

by Benni Fish, Of Shadegan, Arzi A, Nazari Khorasgani Z , 2011
"... Concentrations of hexachlorocyclohexane isomers (β,γ,δ HCH), dichlorodiphenyl trichloro ethane (pp, opDDT) and its metabolites ( ppDDE, ppDDD), aldrin, dieldrin, heptachlor, heptachlor epoxide, endosulfan isomers (α, β) and metoxychlor were determined in Benni fish collected from Shadegan, Mahshahr ..."
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Concentrations of hexachlorocyclohexane isomers (β,γ,δ HCH), dichlorodiphenyl trichloro ethane (pp, opDDT) and its metabolites ( ppDDE, ppDDD), aldrin, dieldrin, heptachlor, heptachlor epoxide, endosulfan isomers (α, β) and metoxychlor were determined in Benni fish collected from Shadegan, Mahshahr and susangerd cities at Khozestan province in Iran. All the collected fish were contaminated by 14 investigated organochlorine pesticides. The highest and lowest mean concentrations of organochlorine pesticides belonged to β- HCH (65.36 μg/kg) and op DDT (0.13 μg/kg) and were found in Mahshahr and Shadegan Benni fish respectively. Keywords: Organochlorine pesticide, Contamination, Benni fish.

Single-body residue-level knowledge-based energy score combined with sequence-profile and secondary structure information for fold recognition

by Hongyi Zhou, Yaoqi Zhou - Proteins , 2004
"... ergy function is designed for fold recognition. It is a residue-level single-body potential so that highly efficient dynamic programming method can be used for alignment optimization. It contains a backbone torsion term, a buried surface term, and a contact-energy term. The energy score combined wit ..."
Abstract - Cited by 76 (13 self) - Add to MetaCart
ergy function is designed for fold recognition. It is a residue-level single-body potential so that highly efficient dynamic programming method can be used for alignment optimization. It contains a backbone torsion term, a buried surface term, and a contact-energy term. The energy score combined
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