The frictional Schr\"odinger-Newton equation in models of wave function collapse

Replacing the Newtonian coupling G by -iG, the Schrodinger-Newton equation becomes ``frictional''. Instead of the reversible Schrodinger-Newton equation, we advocate its frictional version to generate the set of pointer states for macroscopic quantum bodies.Comment: 6pp LaTeX for J.Phys.Conf.Ser.+2 figs. Talk given at the Int. Workshop DICE2006 "Quantum Mechanics between Decoherence and Determinism: new aspects from particle physics to cosmology" Piombino, Sept 11-15, 200

On the standard K-loop structure of positive invertible elements in a C*-algebra

We investigate the algebraic properties of the operation a {ring operator} b = sqrt(a) b sqrt(a) on the set of all positive invertible elements of a C*-algebra A. We show that its commutativity, associativity and distributivity are each equivalent to the commutativity of A. We present abstract characterizations of the operation {ring operator} and a few related ones, too. © 2014 Elsevier Inc. All rights reserved

Usefulness of 99mTc(V)-dimercaptosuccinic acid scintigraphy in the assessment of response to external radiation therapy in soft tissue sarcoma in Giant Snauzer dog

A nine-year-old male black Giant Schnauzer dog was referred for the scintigraphic evaluation with a history of malignant fibrosarcoma with a rapidly growing non painful mass on the left shoulder region quite near to the site of an operation performed four months ago. We carried out oncological scintigraphy using pentavalent 99mTechnetium labelled dimercaptosuccinic acid [99mTc(V)-DMSA], a tumour localising radiopharmaceutical agent. The study was performed to assess the margins, vascularity of the tumour and response to the cancer therapy. Uniform intense radiopharmaceutical uptake was observed in the lesion indicating its margins, vascularity and malignant nature. The dog was subjected to external radiation therapy to control the growth of the cancer and to bring the tumour mass to an operable size. The dog was followed up with 99mTc(V)-DMSA scintigraphy pre-irradiation and post-irradiation. Immediately after the post-irradiation scintigraphy, the dog was operated on. During the surgery, resection of the tumour margins was performed carefully using a hand held gamma probe to assure that no tumour tissue was left inside. In conclusion, the authors would like to state that 99mTc(V)-DMSA oncoscintigraphy is valuable in the assessment and evaluation of therapy in canine soft tissue cancer

The gravity-related decoherence master equation from hybrid dynamics

Canonical coupling between classical and quantum systems cannot result in reversible equations, rather it leads to irreversible master equations. Coupling of quantized non-relativistic matter to gravity is illustrated by a simplistic example. The heuristic derivation yields the theory of gravity-related decoherence proposed longtime ago by Penrose and the author.Comment: 9pp, extended version of invited talk at Fifth International Workshop DICE2010 (Castello Pasquini/Castiglioncello/Tuscany, Sept. 13-17, 2010

Ultrafast time-resolved photoluminescence from novel metal–dendrimer nanocomposites

We report the first results of ultra-fast enhanced light emission from gold– and silver–dendrimer nanocomposites. There is a fast (70 fs) fluorescence decay component associated with the metal nanocomposites. Anisotropy measurements show that this fast component is depolarized. The enhanced emission is suggestively due to local field enhancement in the elongated metal–dendrimer nanoparticles. © 2001 American Institute of Physics.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/71043/2/JCPSA6-114-5-1962-1.pd

Lack of sufficiently strong informative features limits the potential of gene expression analysis as predictive tool for many clinical classification problems

<p>Abstract</p> <p>Background</p> <p>Our goal was to examine how various aspects of a gene signature influence the success of developing multi-gene prediction models. We inserted gene signatures into three real data sets by altering the expression level of existing probe sets. We varied the number of probe sets perturbed (signature size), the fold increase of mean probe set expression in perturbed compared to unperturbed data (signature strength) and the number of samples perturbed. Prediction models were trained to identify which cases had been perturbed. Performance was estimated using Monte-Carlo cross validation.</p> <p>Results</p> <p>Signature strength had the greatest influence on predictor performance. It was possible to develop almost perfect predictors with as few as 10 features if the fold difference in mean expression values were > 2 even when the spiked samples represented 10% of all samples. We also assessed the gene signature set size and strength for 9 real clinical prediction problems in six different breast cancer data sets.</p> <p>Conclusions</p> <p>We found sufficiently large and strong predictive signatures only for distinguishing ER-positive from ER-negative cancers, there were no strong signatures for more subtle prediction problems. Current statistical methods efficiently identify highly informative features in gene expression data if such features exist and accurate models can be built with as few as 10 highly informative features. Features can be considered highly informative if at least 2-fold expression difference exists between comparison groups but such features do not appear to be common for many clinically relevant prediction problems in human data sets.</p

Minimum error probability MIMO-aided relaying: multihop, parallel, and cognitive designs

A design methodology based on the minimum error probability (MEP) framework is proposed for a nonregenerative multiple-input multiple-output (MIMO) relayaided system. We consider the associated cognitive, the parallel and the multi-hop source-relay-destination (SRD) link design based on this MEP framework, including the transmit precoder, the amplify-and-forward (AF) relay matrix and the receiver equalizer matrix of our system. It has been shown in the literature that MEP based communication systems are capable of improving the error probability of other linear counterparts. Our simulation results demonstrate that the proposed scheme indeed achieves a significant BER reduction over the existing linear schemes

Finding well approximating lattices for a finite set of points

In this paper we address the task of finding well approximating lattices for a given finite set A of points in R-n motivated by practical texture analytic problems. More precisely, we search for o, d(1),..., d(n) is an element of R-n such that a - o is close to Lambda = d(1)Z + ... + d(n)Z for every a is an element of A. First we deal with the one-dimensional case, where we show that in a sense the results are almost the best possible. These results easily extend to the multi-dimensional case where the directions of the axes are given, too. Thereafter we treat the general multidimensional case. Our method relies on the LLL algorithm. Finally, we apply the least squares algorithm to optimize the results. We give several examples to illustrate our approach