Results 161 to 170 of about 1,459,377 (344)
2D MOF with Intrinsic Porosity for Colorimetric Volatile Organic Compounds (VOCs) Detection
An uncommon 2D MOF with intrinsic in‐plane porosity that can be mechanically exfoliated undergoes a distinct and reversible colour change upon exposure to various volatile organic compounds. ABSTRACT In this work, we report an uncommon 2D metal–organic framework (MOF) with intrinsic in‐plane porosity that undergoes a distinct and reversible colour ...
Sergio R. Gamarra +4 more
wiley +1 more source
Extended-horizon realized volatility forecasting using state space models
Volatility forecasting is vital for financial risk management and decision-making, yet it remains challenging due to the heteroscedastic, nonlinear, and multi-scale nature of financial time series.
Koushik Bera, N. Selvaraju
doaj +1 more source
A nonparametric approach to forecasting realized volatility [PDF]
A well developed literature exists in relation to modeling and forecasting asset return volatility. Much of this relate to the development of time series models of volatility. This paper proposes an alternative method for forecasting volatility that does
Adam Clements, Ralf Becker
core
2D Nanomaterials Toward Function‐Ready Superlubricity in Advanced Microsystems
A unified framework links structural and transformation superlubricity with microsystem functions and deployment requirements. Mechanisms, device architectures, integration strategies, AI‐guided discovery, and benchmarking protocols are connected to define function‐ready superlubricity in advanced microsystems.
Yushan Geng, Jun Yang, Yong Yang
wiley +1 more source
Do federal funds futures need adjustment for excess returns? a state-dependent approach [PDF]
This paper utilizes a Markov-switching framework to model excess returns in federal funds futures contracts. This framework identifies a high-volatility state where excess returns are large, positive, and volatile and a low-volatility state where excess ...
Brent Bundick
core
All‐Optical Reconfigurable Physical Unclonable Function for Sustainable Security
An all‐optical reconfigurable physical unclonable function (PUF) is demonstrated using plasmonic coupling–induced sintering of optically trapped gold nanoparticles, where Brownian motion serves as a robust entropy source. The resulting optical PUF exhibits high encoding density, strong resistance to modeling attacks, and practical authentication ...
Jang‐Kyun Kwak +4 more
wiley +1 more source
Regime Switching and Artificial Neural Network Forecasting [PDF]
This paper provides an analysis of regime switching in volatility and out-of-sample forecasting of the Cyprus Stock Exchange using daily data for the period 1996-2002.
Avo Kazandjian +3 more
core
Controlling the protein corona formation onto carbon nanomaterials (CNMs) enhances their functionalities as platforms for cancer theranostics. Here, we reviewed the effects of the intrinsic and acquired properties of CNMs on protein corona formation, the consequent biological and toxicological outcomes, and the strategies to reshape corona formation ...
Yajuan Zou +5 more
wiley +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
This review traces the evolution of lithium‐ion battery separators from passive barriers to multifunctional components central to cell safety and performance. Polymer‐ceramic hybrids, nanofiber architectures, and bio‐derived membranes deliver ionic conductivities above 3 mS cm−1, thermal stability beyond 200 °C, and effective suppression of lithium ...
Karthik Vishweswariah +5 more
wiley +1 more source

