Results 81 to 90 of about 13,248,588 (381)

Entropy measures of distance matrix [PDF]

open access: yesDiscrete Mathematics Letters, 2022
Bünyamin Şahin, Abdulgani Şahin
doaj   +1 more source

AAA+ protein unfoldases—the Moirai of the proteome

open access: yesFEBS Letters, EarlyView.
AAA+ unfoldases are essential molecular motors that power protein degradation and disaggregation. This review integrates recent cryo‐electron microscopy (cryo‐EM) structures and single‐molecule biophysical data to reconcile competing models of substrate translocation.
Stavros Azinas, Marta Carroni
wiley   +1 more source

Some New Biparametric Distance Measures on Single-Valued Neutrosophic Sets with Applications to Pattern Recognition and Medical Diagnosis

open access: yesInformation, 2017
Single-valued neutrosophic sets (SVNSs) handling the uncertainties characterized by truth, indeterminacy, and falsity membership degrees, are a more flexible way to capture uncertainty.
Harish Garg, Nancy
doaj   +1 more source

Residual tail twisting in ascidian larvae is stabilized by asymmetric myofibrils that resist bilateral symmetry restoration

open access: yesFEBS Letters, EarlyView.
Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure   +3 more
wiley   +1 more source

Average Distance Measure for TOPSIS-Sine Trigonometric Single-valued Neutrosophic Weighted Aggregation Operator and Its Application in Decision Making [PDF]

open access: yesNeutrosophic Sets and Systems
The aggressive work involved in proposing new distance measures between two neutrosophic sets has been obvious for the past ten years. These continuous efforts are commonly motivated by the need to provide a variety of alternatives in the study of ...
Roliza Md Yasin   +5 more
doaj   +1 more source

Potential therapeutic targeting of BKCa channels in glioblastoma treatment

open access: yesMolecular Oncology, EarlyView.
This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak   +4 more
wiley   +1 more source

Approaches to Pythagorean Fuzzy Stochastic Multi‐criteria Decision Making Based on Prospect Theory and Regret Theory with New Distance Measure and Score Function

open access: yesInternational Journal of Intelligent Systems, 2017
In this paper, we initiate a new axiomatic definition of Pythagorean fuzzy distance measure, which is expressed by Pythagorean fuzzy number that will reduce the information loss and remain more original information. Then, the objective weights of various
Xindong Peng, Jingguo Dai
semanticscholar   +1 more source

PARP inhibition and pharmacological ascorbate demonstrate synergy in castration‐resistant prostate cancer

open access: yesMolecular Oncology, EarlyView.
Pharmacologic ascorbate (vitamin C) increases ROS, disrupts cellular metabolism, and induces DNA damage in CRPC cells. These effects sensitize tumors to PARP inhibition, producing synergistic growth suppression with olaparib in vitro and significantly delayed tumor progression in vivo. Pyruvate rescue confirms ROS‐dependent activity.
Nicolas Gordon   +13 more
wiley   +1 more source

DISTANCE: a framework for software measure construction. [PDF]

open access: yes
In this paper we present a framework for software measurement that is specifically suited to satisfy the measurement needs of empirical software engineering research.
Dedene, Guido, Poels, Geert
core  

DISTANCE MEASURES IN AGGREGATING PREFERENCE DATA [PDF]

open access: yes, 2014
The aim of this paper is to present aggregation methods of individual preferences scores by means of distance measures. Three groups of distance measures are discussed: measures  which use preference distributions for all pairs of objects (e.g.
Zaborski, Artur
core   +1 more source

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