Results 61 to 70 of about 576,163 (288)

Self‐Nitriding Nanostructured Transition Metal Nitrides in Architected‐Carbon Matrices: Unveiling Mechanisms and Advancing Performance in Lithium‐Sulfur Pouch Cells

open access: yesAdvanced Science, EarlyView.
Imidazolium PIL nanoparticles, as an N‐rich template and morphology director, enable a colloidal self‐nitriding route to TMNs (VN, Mo2N) within controlled solid/hollow carbon architectures. As sulfur hosts/additives, TMNs accelerate Li–S redox kinetics and support high‐loading cathodes.
Yael Rodriguez Ayllon   +14 more
wiley   +1 more source

PISA fenomenas: daugiaveidė tarptautinio moksleivių vertinimo programa

open access: yesActa Paedagogica Vilnensia, 2017
Tarptautinio moksleivių vertinimo programa, kurios angliškojo pavadinimo santrumpa PISA yra gerai žinoma Lietuvos edukologams, jau seniai tapo išskirtiniu šiuolaikinio švietimo fenomenu.
Rimantas Želvys
doaj   +1 more source

Some remarks on Huisken's monotonicity formula for mean curvature flow

open access: yes, 2017
We discuss a monotone quantity related to Huisken's monotonicity formula and some technical consequences for mean curvature flow.Comment: in "Singularities in nonlinear evolution phenomena and applications", 157-169, CRM Series, 9, Ed. Sc. Norm.
Magni, Annibale, Mantegazza, Carlo
core   +2 more sources

Beta-function, Renormalons and the Mass Term from Perturbative Wilson Loops [PDF]

open access: yes, 1999
Several Wilson loops on several lattice sizes are computed in Perturbation Theory via a stochastic method. Applications include: Renormalons, the Mass Term in Heavy Quark Effective Theory and (possibly) the beta-function.Comment: 3 pages, 1 eps figure ...
Burgio   +8 more
core   +2 more sources

Multiparametric Bioresorbable Sensor for Doxorubicin Detection via Molecularly Imprinted Synthetic Receptors

open access: yesAdvanced Science, EarlyView.
A biodegradable molecularly imprinted polymer porous silica sensor enables dual optical readout of doxorubicin via fluorescence and effective optical thickness shifts. The combined transduction mechanisms provide enhanced reliability and quantitative accuracy over clinically relevant concentrations, representing a step toward transient implantable ...
Martina Corsi   +11 more
wiley   +1 more source

PISA

open access: yes, 2012
Source: Ludwig Tieck: Gedichte. Faksimiledruck nach der Ausgabe von 1821–23: Teil 3 (1823), Heidelberg: Lambert Schneider, 1967.
  +7 more sources

Faster and Durable: A Cell‐to‐System Validation of a Low‐Degradation Fast‐Charge Protocol for Li‐Ion Batteries

open access: yesAdvanced Science, EarlyView.
A physics‐based framework resolving graphite phase‐separation dynamics establishes a predictive, degradation‐aware fast‐charging methodology for commercial Li‐ion batteries. The resulting model‐informed protocol achieves 20%–80% state‐of‐charge in 14 min while matching the long‐term degradation of a commercial 25‐minute EV strategy.
Marco Lagnoni   +10 more
wiley   +1 more source

Wood‐Based Bioelectronics: Lignosulfonate‐Based Conductive Biocomposites for Paper Organic Electrochemical Transistors

open access: yesAdvanced Electronic Materials, EarlyView.
Biodegradable wood‐based bioelectronics are realized by integrating poly (2,3‐ethylenedioxythiopene:lignosulfonate (PEDOT:LigS) as a mixed ionicelectronic channel in organic electrochemical transistors fabricated on paper substrates. The biocomposite exhibits high conductivity, biocompatibility, and strong transistor performance, while devices built on
Katharina Matura   +8 more
wiley   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

open access: yesAdvanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia   +3 more
wiley   +1 more source

Finnish pupils’ success in mathematics: factors that contribute to Finnish pupils’ success in mathematics [PDF]

open access: yes, 2010
This report focuses on the factors that contribute positively to Finnish pupils’ success in mathematics and considers the implications for policy and practice in England.

core  

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