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In this paper we analyze the status of some `unbelievable results' presented in the paper `On Some Contradictory Computations in Multi-Dimensional Mathematics' [1] published in Nonlinear Analysis, a journal indexed in the Science Citation…

General Mathematics · Mathematics 2007-05-23 E. Capelas de Oliveira , W. A. Rodrigues

We describe a field-theoretic approach to calculate quantum shot noise in nanoscale conductors from first principles. Our starting point is the second-quantization field operator to calculate shot noise in terms of single quasi-particle…

Mesoscale and Nanoscale Physics · Physics 2009-11-07 Yu-Chang Chen , Massimiliano Di Ventra

In [1] the authors claim that "weak values are not inherently quantum but rather a purely statistical feature". I argue that their model reproduces only few elements of weak measurements but fails to reproduce all the other intrinsically…

Quantum Physics · Physics 2014-10-01 Eliahu Cohen

The purpose of this note is to show that in a widely cited paper by Yakir [Ann. Statist. 25 (1997) 2117--2126, doi:10.1214/aos/1069362390], the proof that the so-called modified Shiryayev--Roberts procedure is exactly optimal is incorrect.…

Statistics Theory · Mathematics 2007-06-13 Yajun Mei

We test the validity of Feynman's idea that a two-slit experiment performed with classical objects (bullets) does not produce observable interference fringes on the detection screen because the Compton's wavelength of the bullets is so…

Quantum Physics · Physics 2015-09-07 Marco Ornigotti , Andrea Aiello

By using a relativistic framework and accurate nuclear spectral functions we evaluate the ratio F_{3A}/AF_{3N} of deep inelastic neutrino scattering. Parametrizations of this ratio for different values of Q^2 are provided. These results…

Nuclear Theory · Physics 2007-05-23 E. Marco , E. Oset , S. K. Singh

It is pointed out that ambiguities in the regularization of actions with second derivatives seem to happen with the same multiplicity that the standard model of elementary particles

High Energy Physics - Theory · Physics 2007-05-23 Alejandro Rivero

Inferring connectivity in neuronal networks remains a key challenge in statistical neuroscience. The `common input' problem presents the major roadblock: it is difficult to reliably distinguish causal connections between pairs of observed…

Neurons and Cognition · Quantitative Biology 2014-12-19 Daniel Soudry , Suraj Keshri , Patrick Stinson , Min-hwan Oh , Garud Iyengar , Liam Paninski

It is shown that various versions of the neutrino mixing hypothesis are in a contradiction with generally accepted facts and principles.There is also presented the possible alternative formulation of the neutrino oscillation theory and it…

General Physics · Physics 2008-03-03 Viliam Pazma , Julius Vanko

Accurate limits for the violation of the Principle of Equivalence have been found from the comparison of the redshifts of two identical nuclear species in different chemical environments.

General Relativity and Quantum Cosmology · Physics 2007-05-23 M. De Francia , G. Goya , R. C. Mercader , H. Vucetich

The comment gives principal arguments proving that the claims given in the title of the commented paper and some its conclusions have to be wrong for principal reasons. An example illustrating the arguments is provided via atomistic…

Materials Science · Physics 2022-12-21 Zbigniew Kaszkur

Machine learning models are vulnerable to Adversarial Examples: minor perturbations to input samples intended to deliberately cause misclassification. Current defenses against adversarial examples, especially for Deep Neural Networks (DNN),…

Cryptography and Security · Computer Science 2019-01-04 Kathrin Grosse , David Pfaff , Michael Thomas Smith , Michael Backes

An error occurs in a part of the statement and proof of Proposition 2.2 in Jour. Math. Anal. and Appl., 476, (2019), 53-85 that is corrected in this erratum. The revised result reveals a new and unexpected critical phenomenon, having…

Probability · Mathematics 2023-08-08 Radu Dascaliuc , Tuan N. Pham , Enrique A. Thomann , Edward C. Waymire

Quantum theory in its conventional formulation is notoriously subject to various measurement-related paradoxes, as exemplified by the "Schrodinger's Cat" and "Wigner's Friend" thought experiments. It has been shown, for example by…

Quantum Physics · Physics 2024-10-04 R. E. Kastner

When an electromagnetic field in a coherent or quasiclassical (e.g., squeezed) state is used to simultaneously drive an ensemble of two-level atoms, the quantum nature of the field will, in general, cause the final state of the atoms to…

Quantum Physics · Physics 2025-08-12 Hunter Lindemann , Shanon Vuglar , Julio Gea-Banacloche

Experiments may not reveal their full import at the time that they are performed. The scientists who perform them usually are testing a specific hypothesis and quite often have specific expectations limiting the possible inferences that can…

History and Philosophy of Physics · Physics 2017-10-17 Lydia Patton

Most computer vision application rely on algorithms finding local correspondences between different images. These algorithms detect and compare stable local invariant descriptors centered at scale-invariant keypoints. Because of the…

Computer Vision and Pattern Recognition · Computer Science 2014-09-10 Ives Rey-Otero , Mauricio Delbracio , Jean-Michel Morel

In a recent paper, Albrecht Kyrieleis, Jeff Forshaw and I discovered a new tower of super-leading logarithms in gaps between jets cross sections. After discussions with the referee of our paper and further investigation, we have come to…

High Energy Physics - Phenomenology · Physics 2007-10-16 Michael H. Seymour

We show that the two scenarios able to explain the HERA anomaly --- a new leptoquark coupling or a new contact interaction --- predict new contributions to atomic parity violation. These corrections are sufficiently large and different that…

High Energy Physics - Phenomenology · Physics 2009-10-09 Leonardo Giusti , Alessandro Strumia

Uncertainty quantification has received increasing attention in machine learning in the recent past. In particular, a distinction between aleatoric and epistemic uncertainty has been found useful in this regard. The latter refers to the…

Machine Learning · Computer Science 2022-10-14 Viktor Bengs , Eyke Hüllermeier , Willem Waegeman