Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
A multi-period robust portfolio optimization framework using yager's entropy. [PDF]
Khosravi A, Sadjadi SJ.
europepmc +1 more source
Value at Risk: A Comparative Analysis [PDF]
study develops a comparative analysis concerning Value at Risk measure for a portfolio consisting of three stocks traded at Bucharest Stock Exchange. The analysis set out from 1-day, 1% VaR and has been extended in two directions: the volatility models ...
Filip Iorgulescu
core
Nocturnal Intraocular Pressure Monitoring With a Soft Contact Lens Sensor for Glaucoma Management
A soft contact lens sensor enables continuous, noninvasive monitoring of nocturnal intraocular pressure (IOP) under closed‐eye sleep conditions. By integrating a highly compliant inductive–capacitive circuit onto a commercial lens, the device achieves record sensitivity and stable performance.
Yumin Dai +19 more
wiley +1 more source
Burden of Intrapancreatic Fat Deposition in Type 2 Diabetes and the Role of Obesity: A Systematic Review and Meta-Analysis. [PDF]
Sul HH +5 more
europepmc +1 more source
Hybrid Historical Simulation VaR and ES: Performance in Developed and Emerging Markets [PDF]
We introduce a new hybrid approach to joint estimation of Value at Risk (VaR) and Expected Shortfall (ES) for high quantiles of return distributions.
Randall Filer, Sasa Zikovic
core
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
An expectile-based framework for risk-calibrated credible capacity evaluation of virtual power plants under wind and PV forecast uncertainties. [PDF]
Hua D +5 more
europepmc +1 more source
Monte Carlo methods for the estimation of value-at-risk and related risk measures
Nested Monte Carlo is a computationally expensive exercise. The main contributions we present in this thesis are the formulation of efficient algorithms to perform nested Monte Carlo for the estimation of Value-at-Risk and Expected-Tail-Loss.
Marks, Dean
core
An Accessible Microfluidic Platform for the Generation of Polarized Brain Organoids
This study presents an accessible double‐gradient microfluidic device that enables controlled morphogen delivery and spatially polarized differentiation in brain organoids. By integrating a pump‐free design and stable fabrication method, the platform generates dorsal–ventral neuronal asymmetry, offering a reproducible and versatile approach to model ...
Daniel Pérez‐Calixto +6 more
wiley +1 more source

