Physical Sciences and Mathematics Commons^™

Ru(Iii), Pd(Ii), Pt(Iii) And Pt(Iv) Complexes Of A Novel 32-Membered Unsymmetrical Macrocyclic Ligand, Mohammad Mansoob Khan Dr

Dr. Mohammad Mansoob Khan

Reactions of [N12] macrocyclic ligand, L·2HClO4, with RuCl3, PdCl2, K2[PtCl6], [K2PtCl4] as well as [M(Ph3P)2Cl2] (M = Pd or Pt), and [Ru(Ph3P)3Cl2] produces bimetallic complexes whose analytical data are consistent with the molecular formulae as Ru2LCl4(ClO4)2 (I), Pd2LCl2(ClO4)2 (II), Pt2LCl6(ClO4)2 (III), Pt2LCl2(ClO4)2 (IV) and Ru2LCl2(ClO4)2 (V). Reactions of the ligand with the precursors [M(Ph3P)2Cl2] (M = Pd or Pt), and [Ru(Ph3P)3Cl2], has released all the Ph3P ancillary ligand in solution. Magnetic moment, IR and UV-visible spectroscopic data confirms the encapsulation of metal ions in the macrocyclic cavities through chelation from aza groups of the unsymmetrical imine ( C N ) …

Diagnosing Intermittent And Persistent Faults Using Static Bayesian Networks, Ole J. Mengshoel, Brian Ricks

Ole J Mengshoel

Both intermittent and persistent faults may occur in a wide range of systems. We present in this paper the introduction of intermittent fault handling techniques into ProDiagnose, an algorithm that previously only handled persistent faults. We discuss novel algorithmic techniques as well as how our static Bayesian networks help diagnose, in an integrated manner, a range of intermittent and persistent faults. Through experiments with data from the ADAPT electrical power system test bed, generated as part of the Second International Diagnostic Competition (DXC-10), we show that this novel variant of ProDiagnose diagnoses intermittent faults accurately and quickly, while maintaining strong …

Learning Class-Specific Image Transformations With Higher-Order Boltzmann Machines, Erik G. Learned-Miller, Gary Huang

Erik G Learned-Miller

In this paper, we examine the problem of learning a rep- resentation of image transformations specific to a complex object class, such as faces. Learning such a representation for a specific object class would allow us to perform im- proved, pose-invariant visual verification, such as uncon- strained face verification. We build off of the method of using factored higher-order Boltzmann machines to model such image transformations. Using this approach will po- tentially enable us to use the model as one component of a larger deep architecture. This will allow us to use the fea- ture information in an ordinary deep …

Fast Function-On-Scalar Regression With Penalized Basis Expansions, Philip T. Reiss, Lei Huang, Maarten Mennes

Philip T. Reiss

Regression models for functional responses and scalar predictors are often fitted by means of basis functions, with quadratic roughness penalties applied to avoid overfitting. The fitting approach described by Ramsay and Silverman in the 1990s amounts to a penalized ordinary least squares (P-OLS) estimator of the coefficient functions. We recast this estimator as a generalized ridge regression estimator, and present a penalized generalized least squares (P-GLS) alternative. We describe algorithms by which both estimators can be implemented, with automatic selection of optimal smoothing parameters, in a more computationally efficient manner than has heretofore been available. We discuss pointwise confidence intervals …

A Neurosemantic Theory Of Concrete Noun Representation Based On The Underlying Brain Codes, Marcel Adam Just, Vladimir L. Cherkassky, Sandesh Aryal, Tom M. Mitchell

Marcel Adam Just

No abstract provided.

Mining And Civilization, An Illustrated History, Fathi Habashi

Fathi Habashi

Mass Media Coverage Of Global Warming: An Update., John Fisher

Dr. John R. Fisher

A consensus may no longer exist about the causes of climate change. Only last year most media and many people supported the view that climate change was caused by people’s use of fossil fuels. However, the public view of global warming appears to have changed. Much of this change in people’s attitudes came from media coverage. This was augmented by concern for the economy and the effect of global warming legislation on the economy.

While few studies exist of mass media saturation using the diffusion of innovation model, research of global warming coverage by Dispensa and Brulle (2003) and Fisher …

An Interview With Edsger W. Dijkstra, Thomas J. Misa, Philip L. Frana

Philip L Frana

No abstract provided.

Patent Reforms Must Focus On The U.S. Patent Office, Ron D. Katznelson

Ron D. Katznelson

No abstract provided.

From Artifacts To Aggregations: Modeling Scientific Life Cycles On The Semantic Web, Alberto Pepe, Matthew Mayernik, Christine Borgman, Herbert Van De Sompel

Alberto Pepe

In the process of scientific research, many information objects are generated, all of which may remain valuable indefinitely. However, artifacts such as instrument data and associated calibration information may have little value in isolation; their meaning is derived from their relationships to each other. Individual artifacts are best represented as components of a life cycle that is specific to a scientific research domain or project. Current cataloging practices do not describe objects at a sufficient level of granularity nor do they offer the globally persistent identifiers necessary to discover and manage scholarly products with World Wide Web standards. The Open …