Results 31 to 40 of about 777 (249)
Hydrogel‐based wearable electronics hold great promise for physiological monitoring in privacy‐sensitive regions. In this study, a polyurethane (PU) microfiber‐reinforced gelatin hydrogel e‐skin is developed, boasting multiple advantages such as ultra‐thinness, high toughness, and long‐term skin conformability.
Yarong Ding +11 more
wiley +1 more source
High‐Conductivity Electrolytes Screened Using Fragment‐ and Composition‐Aware Deep Learning
We present a new deep learning framework that hierarchically links molecular and functional unit attributions to predict electrolyte conductivity. By integrating molecular composition, ratios, and physicochemical descriptors, it achieves accurate, interpretable predictions and large‐scale virtual screening, offering chemically meaningful insights for ...
Xiangwen Wang +6 more
wiley +1 more source
We analyse a model for pricing derivative securities in the presence of both transaction costs as well as the risk from a volatile portfolio. The model is based on the Black-Scholes parabolic PDE in which transaction costs are described following the ...
Martin Jandačka, Daniel Ševčovič
doaj +1 more source
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod +10 more
wiley +1 more source
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
Feature Disentangling and Combination Implemented by Spin–Orbit Torque Magnetic Tunnel Junctions
Spin–orbit torque magnetic tunnel junctions (SOT‐MTJs) enable efficient feature disentangling and integration in image data. A proposed algorithm leverages SOT‐MTJs as true random number generators to disentangle and recombine features in real time, with experimental validation on emoji and facial datasets.
Xiaohan Li +15 more
wiley +1 more source
In this paper, we investigate analytical approximations for foreign equity options under a stochastic volatility model with fast mean reversion. Foreign equity options are financial derivatives whose payoffs are determined by the price of an underlying ...
Jaegi Jeon, Geonwoo Kim
doaj +1 more source
Quantum pricing with a smile: implementation of local volatility model on quantum computer [PDF]
Kazuya Kaneko +3 more
openalex +1 more source
Can Hybrid Organisations Solve the Paradox of the Triple Bottom Line, and Does It Need Solving?
ABSTRACT This study investigates how B Corp certification enables hybrid organisations to integrate competing institutional logics of market and social purpose. Through a two‐stage qualitative design combining cross‐sector interviews with B Corps and an in‐depth case study, with a total of 30 participants, we analyse how certification supports hybrid ...
Ruth Cherrington +3 more
wiley +1 more source
Exploring the Role of Green Training on Organizational Resilience: A Multisectoral European Analysis
ABSTRACT The double transition paradigm has imposed to redefine the rules to compete. The demand for green skills, driven by European policy targets, currently outpaces the supply available in the labor market. This study surveys European companies across multiple sectors to assess the role of green training, a key element of green human resource ...
Giulia Alessandri +4 more
wiley +1 more source

