Results 81 to 90 of about 3,879,270 (279)

Cores and Stable Sets for Interval-Valued Games [PDF]

open access: yes
In this paper, interval-type solution concepts for interval-valued cooperative games like the interval core, the interval dominance core and stable sets are introduced and studied.
Brânzei, R.   +2 more
core  

A new concept of differentiability for interval-valued functions [PDF]

open access: yesSurveys in Mathematics and its Applications, 2019
In this paper we propose a new concept of differentiability for interval-valued functions. This concept is based on the properties of the Hausdorff-Pompeiu metric and avoids using the generalized Hukuhara difference.
Vasile Lupulescu, Donal O'Regan
doaj  

Iq-Calculus and Iq-Hermite–Hadamard inequalities for interval-valued functions

open access: yesAdvances in Difference Equations, 2020
In this paper, we introduce the Iq-derivative and Iq-integral for interval-valued functions and give their basic properties. As a promotion of q-Hermite–Hadamard inequalities, we also give the Iq-Hermite-Hadamard inequalities for interval-valued ...
Tianyi Lou   +3 more
doaj   +1 more source

Functional comparison of EncB and EncC cargo proteins in iron storage within the Myxococcus xanthus encapsulin

open access: yesFEBS Letters, EarlyView.
Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell   +2 more
wiley   +1 more source

A least squares approach to Principal Component Analysis for interval valued data [PDF]

open access: yes
Principal Component Analysis (PCA) is a well known technique the aim of which is to synthesize huge amounts of numerical data by means of a low number of unobserved variables, called components.
D'Urso, Pierpaolo, Giordani, Paolo
core  

Significant Study of Fuzzy Fractional Inequalities with Generalized Operators and Applications

open access: yesFractal and Fractional
There are many techniques for the extension and generalization of fractional theories, one of which improves fractional operators by means of their kernels.
Rana Safdar Ali   +4 more
doaj   +1 more source

Interval Analysis and Calculus for Interval-Valued Functions of a Single Variable. Part I: Partial Orders, gH-Derivative, Monotonicity

open access: yesAxioms, 2019
We present new results in interval analysis (IA) and in the calculus for interval-valued functions of a single real variable. Starting with a recently proposed comparison index, we develop a new general setting for partial order in the (semi linear ...
Luciano Stefanini   +2 more
doaj   +1 more source

L‐aspartate oxidase provides new insights into fumarate reduction in anaerobic darkness in Synechocystis sp. PCC6803

open access: yesFEBS Letters, EarlyView.
Synechocystis strains deficient in succinate dehydrogenase (SDH) secrete more succinate than the WT under dark anaerobic conditions, supporting that SDH then primarily acts as SDH, not as a fumarate reductase. L‐aspartate oxidase (Laspo) from Synechocystis is functional under anaerobic conditions, reducing fumarate to succinate.
Kateryna Kukil   +3 more
wiley   +1 more source

Differential expression of cancer‐related genes supports prediction of poor response to first‐line treatments in T‐ALL pediatric patients with high minimal residual disease

open access: yesMolecular Oncology, EarlyView.
In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera   +11 more
wiley   +1 more source

An Extension of Functional PCA to Interval-Valued Functional Data

open access: yesJapanese Journal of Applied Statistics, 2010
本研究では,関数主成分分析のシンボリックデータ解析への拡張を扱う.シンボリックデータ解析とは,Didayによって提唱された,データへの新しいアプローチである(Bock and Diday 2000, Billard and Diday 2006).シンボリックデータ解析において,観測値は多値データや区間値データ,モダルデータとして表現され,これらを総称して“シンボリックコンセプト”と呼ぶ.このような様々なデータ表現を用いることで,解析対象である抽象的なコンセプトをより柔軟に表現し,適切なデータ解析を行える利点がある.またシンボリックデータ解析を応用することで,従来の統計的解析方法では扱いにくかった膨大かつ複雑なデータを効率的に解析することができる ...
Ikeda, Tomoyasu   +3 more
openaire   +1 more source

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