Results 101 to 110 of about 420 (261)

Stem Cell Differentiation Disperses Transcriptional Clusters via a Conserved Surface‐Condensate Trajectory

open access: yesAdvanced Science, EarlyView.
Stem cell differentiation follows a conserved surface condensate trajectory: H3K27ac super enhancers nucleate large RNA polymerase II clusters that grow and unfold before transcriptional activity disperses them. This work reveals how biophysical forces at enhancer surfaces dynamically build and dismantle stem cell transcription hubs, reshaping cell ...
Tim Klingberg   +18 more
wiley   +1 more source

\(Q_1\)- fuzzy quasi ideals in semiring

open access: yes, 2017
 The authors in [9] introduced Q1 -fuzzy set which is a natural generalization Q-fuzzy sets studied by [5, 7, 12, 13] and studied some results related to level subsets of Q1 -fuzzy set.
P. Murugadas, M. R. Thirumagal
core   +1 more source

In Situ Confinement of 0D Halometallates Within Deep Eutectic Solvents: From Systematic Screening to Metal‐Tunable Luminescence for Anti‐Counterfeiting Eutectogels

open access: yesAdvanced Science, EarlyView.
We report photostable, photoluminescent deep eutectic solvents (DESs) powered by in situ‐formed zero‐dimensional (0D) halometallates. Stabilized by microenvironment‐controlling hydrogen bond acceptor (HBA) and donor (HBD) networks, these DESs exhibit vibrant, metal ion‐tunable emission (PLQY = 60.2%).
Jeesu Moon   +4 more
wiley   +1 more source

Generalization of Rough Bi-ideals in Quantales Based on Cores of Successor Classes Under Fuzzy Relations

open access: yesInternational Journal of Computational Intelligence Systems
In quantales, algebraic structures that use fuzzy relations and cores of successor class, the notion of upper and lower approximation bi-ideals is introduced.
Muhammad Yousaf   +9 more
doaj   +1 more source

(α,β)-fuzzy ideals of hemirings

open access: yes, 2009
We give a characterization of different types of (α,β)-fuzzy ideals of hemirings, where α,β∈{∈,q,∈∨q,∈∧q} and α≠∈∧q.
Irfan Ali, M., Dudek, W.A., Shabir, M.
core   +1 more source

Biomimetic Macrophage Cell Membrane‐Based Nanoparticles for Effective Treatment of Glioblastoma Through Boron Neutron Capture Therapy Combined With Immunotherapy

open access: yesAdvanced Science, EarlyView.
ABSTRACT Glioblastoma multiforme (GBM) remains largely incurable due to the blood‐brain barrier (BBB) and immunosuppressive microenvironment. While boron neutron capture therapy (BNCT) selectively eradicates tumor cells via 10B(n, α)‐7Li reactions, its clinical potential in GBM is unrealized because of the suboptimal pharmacokinetics of conventional ...
Jiawen Chen   +22 more
wiley   +1 more source

An Analysis of Algebraic Codes over Lattice Valued Intuitionistic Fuzzy Type-3 R-Submodules. [PDF]

open access: yesComput Intell Neurosci, 2022
Riaz A   +4 more
europepmc   +1 more source

Optical Windows for Transcranial Brain Imaging in Living Mice: Skull Thinning, Clearing, and Beyond

open access: yesAdvanced Science, EarlyView.
Longitudinal, noninvasive in vivo imaging is crucial for studying brain physiology. Advances in transcranial optical windows and multiphoton microscopy have improved imaging depth, but their performance often deteriorates over time. This work investigated various transcranial window approaches and found that skull regrowth limits image quality.
Yiming Fu   +5 more
wiley   +1 more source

(α,β)-intuitionistic fuzzy ideals of hemirings

open access: yes, 2011
In this paper, we introduce the concept of (α,β)-intuitionistic fuzzy sub-hemiring, (left, right, two sided) ideals of hemirings, where α,β are any two of {∈,q,∈∨q,∈∧q} with α≠∈∧q, by using belongs to relation (∈) and quasi-coincidence with relation (q ...
Muhammad Aslam   +5 more
core   +1 more source

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

open access: yesAdvanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj   +4 more
wiley   +1 more source

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