Results 21 to 30 of about 1,015,372 (253)

Applicability of mitotic figure counting by deep learning: a development and pan‐cancer validation study

open access: yesFEBS Open Bio, EarlyView.
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes   +32 more
wiley   +1 more source

Gapless Superconductivity From Extremely Dilute Magnetic Disorder in 2H‐NbSe2‐xSx

open access: yesAdvanced Materials, EarlyView.
We demonstrate that 2H‐NbSe2‐xSx hosts gapless superconductivity at unexpectedly low magnetic impurity concentrations. Combining STM, Bogoliubovde Gennes simulations, DFT, and quasiparticle interference, we comprehensively study the development of gapless behavior and show that SeS substitution reshapes the band structure, enhances nesting, and drives ...
Jose Antonio Moreno   +16 more
wiley   +1 more source

Astrocyte Enrichment of 3D Cortical Constructs Enhances Brain Repair

open access: yesAdvanced Science, EarlyView.
This study highlights the role of astrocytes in supporting neural progenitor cell survival and differentiation after traumatic brain injury. Astrocytes enhanced neuronal differentiation, improved cell survival in co‐cultures, and promoted integration of microfluidics‐based implants with host tissue following implantation. Additionally, increased axonal
Elisa M. Cruz   +20 more
wiley   +1 more source

The relation between the structure of blocked clusters and the relaxation dynamics in kinetically-constrained models

open access: yes, 2015
We investigate the relation between the cooperative length and the relaxation time, represented respectively by the culling time and the persistence time, in the Fredrickson-Andersen, Kob-Andersen and spiral kinetically-constrained models. By mapping the
Shokef, Yair, Teomy, Eial
core   +1 more source

Cooperative Behavior of Kinetically Constrained Lattice Gas Models of Glassy Dynamics [PDF]

open access: yes, 2004
Kinetically constrained lattice models of glasses introduced by Kob and Andersen (KA) are analyzed. It is proved that only two behaviors are possible on hypercubic lattices: either ergodicity at all densities or trivial non-ergodicity, depending on the ...
A. Barrat   +58 more
core   +2 more sources

Bioprinting of Microtissues Within Mechanically Tunable Support Baths to Engineer Anisotropic Musculoskeletal Tissues

open access: yesAdvanced Science, EarlyView.
This study presents a novel 4D bioprinting platform for engineering biomimetic musculoskeletal grafts. By tuning the mechanical properties of support baths, we enhance tissue fusion, collagen alignment, and cell differentiation. Using this strategy, we successfully fabricate scaled‐up, anisotropic tissues such as meniscus, articular cartilage, and ...
Francesca D. Spagnuolo   +2 more
wiley   +1 more source

Dilute but Dense – Reversible Crosslinking Enables Water‐Rich (Bio)polymer Condensates

open access: yesAdvanced Science, EarlyView.
Reversible crosslinking between two types of (bio)polymers drives liquid–liquid phase separation even in good solvent. The arrangement of binding motifs controls condensate formation and density, and internal network structure. Simulations and theory reveal a closed‐loop coexistence phase diagram at very low monomer concentrations and re‐entrant ...
Xinxiang Chen   +4 more
wiley   +1 more source

Heterogeneities in Aging Models of Granular Compaction [PDF]

open access: yes, 2006
Kinetically constrained models (KCM) are systems with trivial thermodynamics but often complex dynamical behavior due to constraints on the accessible paths followed by the system. Exploring these properties, the Kob-Andersen (KA) model was introduced to
Arenzon, Jeferson J.
core   +4 more sources

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

open access: yesAdvanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu   +6 more
wiley   +1 more source

Anomalous diffusion and generalized Sparre-Andersen scaling

open access: yes, 2009
We are discussing long-time, scaling limit for the anomalous diffusion composed of the subordinated L\'evy-Wiener process. The limiting anomalous diffusion is in general non-Markov, even in the regime, where ensemble averages of a mean-square ...
B. Dybiec   +17 more
core   +1 more source

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