Results 51 to 60 of about 159,943 (267)
Journal of Knot Theory and Its Ramifications, 2012 We construct two knot invariants. The first knot invariant is a matrix constructed using linking numbers. This matrix can be represented as a two variable polynomial. The second is an invariant of flat knots and is a formal sum of flat knots obtained by smoothing pairs of crossings. This invariant can be used in conjunction with other flat invariants,
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Reversible Image Processing for Color Images with Flexible Control
Applied Sciences, 2023 In this paper, we propose an image processing method for color images to reversibly achieve flexible functions. Most previous research has focused on reversible contrast enhancement (CE) for grayscale images. When we directly apply these methods to color
Yuki Sugimoto, Shoko Imaizumi
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Molecular Oncology, EarlyView.Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski +12 more
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Handling Overlapping Asymmetric Data Sets—A Twice Penalized P-Spline Approach
MathematicsAims: Overlapping asymmetric data sets are where a large cohort of observations have a small amount of information recorded, and within this group there exists a smaller cohort which have extensive further information available.
Matthew McTeer +3 more
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The work of Professor Andrzej Lasota on asymptotic stability and recent progress [PDF]
Opuscula Mathematica, 2008 The paper is devoted to Professor Andrzej Lasota's contribution to the ergodic theory of stochastic operators. We have selected some of his important papers and shown their influence on the evolution of this topic. We emphasize the role A.
Wojciech Bartoszek
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Discrete and Fuzzy Models of Time Series in the Tasks of Forecasting and Diagnostics
Axioms, 2020 The development of the economy and the transition to industry 4.0 creates new challenges for artificial intelligence methods. Such challenges include the processing of large volumes of data, the analysis of various dynamic indicators, the discovery of ...
Anton Romanov +4 more
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Two approaches to solving the problem of smoothing digital signals based on a combined criterion [PDF]
Serbian Journal of Electrical Engineering, 2017 The paper presents a method for smoothing signals represented by a single realization of a finite-length random process, under conditions of a limited amount of a priori information about the signal function and statistical characteristics the ...
Semenishchev Evgenii +2 more
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Molecular Oncology, EarlyView.BCL9 and BCL9L drive bladder cancer progression by enhancing β‐catenin signaling, promoting proliferation, migration, invasion, and organoid growth. Genetic depletion of BCL9(L) suppresses malignant phenotypes, while pharmacological disruption of the β‐catenin/BCL9(L) complex with ZW4864 inhibits canonical Wnt signaling and tumor‐associated cellular ...
Roland Kotolloshi +11 more
wiley +1 more source
FEBS Open Bio, EarlyView.CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point +7 more
wiley +1 more source
MortalitySmooth: An R Package for Smoothing Poisson Counts with P-Splines
Journal of Statistical Software, 2012 The MortalitySmooth package provides a framework for smoothing count data in both one- and two-dimensional settings. Although general in its purposes, the package is specifically tailored to demographers, actuaries, epidemiologists, and geneticists who ...
Carlo G. Camarda
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