ON THE REDUCED MINIMUM MODULUS OF MULTIPLICATION OPERATORS

On the reduced minimum modulus of multiplication operators

In this paper, we investigate the properties of the reduced minimum modulus CD in the context of Banach spaces.Given a Banach space $X$, we denote the algebra of bounded operators on $X$ as $B(X)$.Our primary focus is on examining the relationship between the reduced minimum modulus of a given operator $T in B(X)$ and its associated left and right

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Targeting cuproptosis with nano material: new way to enhancing the efficacy of immunotherapy in colorectal cancer

Colorectal cancer has emerged as one of the predominant malignant tumors globally.Immunotherapy, as a novel therapeutic methodology, has opened up new possibilities for colorectal cancer patients.However, its actual clinical efficacy requires further enhancement.Copper, as an exceptionally crucial trace element, can influence various signaling path

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Microalgae as Raw Materials for Aquafeeds: Growth Kinetics and Improvement Strategies of Polyunsaturated Fatty Acids Production

Studies have shown that ancient cultures used microalgae as food for centuries.Currently, scientific reports highlight the value of nutritional composition of microalgae and their ability to accumulate polyunsaturated fatty acids at certain operational conditions.These characteristics are gaining increasing interest for the aquaculture industry whi

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The Influence of Cash Position, Debt to Asset Ratio and Firm Size on Dividend Payout Ratio in Property and Real Estate Companies Listed on The Indonesia Stock Exchange for the 2014-2018 Period

The purpose of this study is to determine and test the effect of Cash Position, Debt to Asset Ratio and firmsize on the Dividend Payout Ratio in Property and Real Estate companies listed on the Indonesia Stock Exchange for the period 2014-2018.This research is a quantitative research and the deductive approach is descriptive.The total population is

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A Nonlinear Subspace Approach for Parametric Estimation of PDFs From Short Data Records With Application to Rayleigh Fading

This paper tackles the issue of real-time parametric estimation of a wide class of probability density functions from limited datasets.This type of estimation addresses recent applications that require joint sensing and actuation.The suggested estimator operates in the nonlinear subspace that the parameter space of the distribution creates in the m

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