Results 71 to 80 of about 527,546 (285)
7 Jahre SMILE-Komplikationen – immer noch SMILING?
, 2020 Hintergrund: Seit 7 Jahren führen wir SMILE-Operationen durch. Alle Operationen werden ausnahmslos per Video aufgezeichnet. Methoden: Alle Videos (geplante Behandlung: 2.165 Augen; 100%; abgeschlossene Behandlung: 2.143 Augen; 98,98%) wurden ab dem ersten Fall ausnahmslos nacheinander[zum vollständigen Text gelangen Sie über die oben angegebene URL]
Breyer, DRH +7 more
openaire +1 more source
Advanced Intelligent Discovery, EarlyView.This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng +4 more
wiley +1 more source
FX volatility smile construction [PDF]
The foreign exchange options market is one of the largest and most liquid OTC derivative markets in the world. Surprisingly, very little is known in the academic literature about the construction of the most important object in this market: The implied ...
Reiswich, Dimitri, Wystup, Uwe
core
, 2009 Accessing information and evaluation of material is essential in today’s digital society. Employers are concerned that graduates leaving university do not have adequate employability skills (Braid 2007).
Wrathall, Katy
core +1 more source
Adiabaticity Conditions for Volatility Smile in Black-Scholes Pricing Model
, 2010 Our derivation of the distribution function for future returns is based on the risk neutral approach which gives a functional dependence for the European call (put) option price, C(K), given the strike price, K, and the distribution function of the ...
B. Dupire +18 more
core +2 more sources
A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation
Advanced Intelligent Discovery, EarlyView.This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley +1 more source
Smile asymmetries and reputation as reliable indicators of likelihood to cooperate: An evolutionary analysis [PDF]
, 2002 Cooperating with individuals whose altruism is not motivated by genuine prosocial emotions could have been costly in ancestral division of labour partnerships. How do humans ‘know’ whether or not an individual has the prosocial emotions committing future
Brown, WM, Moore, C
core
Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Riding High in Pendleton [PDF]
, 2006 With an effervescent smile, the graceful wave of a hand and lots of hooting and hollering, Darlene Thompson ’07 fulfilled a lifelong dream this ...
Davis, Laura
core +1 more source
Advanced Intelligent Discovery, EarlyView.A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary +1 more
wiley +1 more source