Results 51 to 60 of about 117,803 (271)

Microengineered Gradient Hydrogels for Mechanobiology

open access: yesAdvanced Healthcare Materials, EarlyView.
Gradient hydrogels are used to mimic the mechanical heterogeneity in native tissues, offering powerful in vitro platforms to study cell‐material interactions in diverse pathophysiological contexts. Here, we present a comprehensive review of the design and experimental considerations for stiffness gradient hydrogels, discussing exemplary achievements ...
Shin Wei Chong   +4 more
wiley   +1 more source

A Hesitant Soft Fuzzy Rough Set and its Applications

open access: yesIEEE Access, 2019
The difficulty of establishing a common membership degree is not because there is a margin of error or some possibility distribution values, but because there is a set of possible values.
Ting Xie, Zengtai Gong
doaj   +1 more source

A Physiological Microfluidic Blood–Brain‐Barrier Model for In Vitro Study of Nanoparticle Trafficking and Accumulation

open access: yesAdvanced Healthcare Materials, EarlyView.
A human microfluidic blood‐brain barrier (mBBB) model enables spatially resolved comparison of nanoparticle trafficking. Extracellular vesicles (EVs), liposomes, and nanoplastics exhibit distinct transport and disruption behaviors, revealing that membrane composition and uptake pathways govern BBB interaction.
Bryan B. Nguyen   +9 more
wiley   +1 more source

Hesitant Fuzzy Soft Subalgebras and Ideals in BCK/BCI-Algebras

open access: yesThe Scientific World Journal, 2014
As a link between classical soft sets and hesitant fuzzy sets, the notion of hesitant fuzzy soft sets is introduced and applied to a decision making problem in the papers by Babitha and John (2013) and Wang et al. (2014).
Young Bae Jun   +2 more
doaj   +1 more source

Distance and Similarity Measures for Soft Sets

open access: yes, 2010
In [P. Majumdar, S. K. Samanta, Similarity measure of soft sets, New Mathematics and Natural Computation 4(1)(2008) 1-12], the authors use matrix representation based distances of soft sets to introduce matching function and distance based similarity ...
Ali M. I.   +5 more
core   +1 more source

Assembling a True “Olympic Gel” From over 16 000 Combinatorial DNA Rings

open access: yesAdvanced Materials, EarlyView.
Olympic gels are an elusive class of soft matter, consisting of molecular networks held together purely by mechanically interlocked rings. Their topological structure promises unique properties and functions, but their synthesis has proven notoriously difficult.
Sarah K. Speed   +9 more
wiley   +1 more source

Fuzzy Supernova Templates I: Classification

open access: yes, 2009
Modern supernova (SN) surveys are now uncovering stellar explosions at rates that far surpass what the world's spectroscopic resources can handle. In order to make full use of these SN datasets, it is necessary to use analysis methods that depend only on
Aldering   +58 more
core   +1 more source

Transparent Perovskite Light‐Emitting Diodes with Conductive Oxide Top Electrodes

open access: yesAdvanced Materials, EarlyView.
Transparent perovskite light‐emitting diodes (TrPeLEDs) enable simultaneous display and transparency, expanding application possibilities. Using a metal oxide buffer layer and pulsed laser deposition, TrPeLEDs with diverse compositions and architectures are demonstrated.
Michele Forzatti   +11 more
wiley   +1 more source

International conference on software engineering and knowledge engineering: Session chair [PDF]

open access: yes, 2018
The Thirtieth International Conference on Software Engineering and Knowledge Engineering (SEKE 2018) will be held at the Hotel Pullman, San Francisco Bay, USA, from July 1 to July 3, 2018.
Bosu, Michael Franklin
core  

Land cover classification using fuzzy rules and aggregation of contextual information through evidence theory

open access: yes, 2009
Land cover classification using multispectral satellite image is a very challenging task with numerous practical applications. We propose a multi-stage classifier that involves fuzzy rule extraction from the training data and then generation of a ...
Das, J., Laha, Arijit, Pal, Nikhil R.
core   +1 more source

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