Results 51 to 60 of about 83,313 (304)

CryptoMamba-SSM: Linear Complexity State Space Models for Cryptocurrency Volatility Prediction

IEEE Open Journal of the Computer Society
Cryptocurrency markets exhibit complex microstructural dynamics characterized by high-frequency volatility bursts, rapid regime switching, and long-range temporal dependencies, which expose several limitations of existing volatility forecasting ...
Xiuyuan Zhao, Jingyi Liu, Ying Wang, Jiyuan Wang   +3 more
doaj   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

Blockchain-Native Asset Direction Prediction: A Confidence-Threshold Approach to Decentralized Financial Analytics Using Multi-Scale Feature Integration

Algorithms
Blockchain-based financial ecosystems generate unprecedented volumes of multi-temporal data streams requiring sophisticated analytical frameworks that leverage both on-chain transaction patterns and off-chain market microstructure dynamics.
Oleksandr Kuznetsov, Dmytro Prokopovych-Tkachenko, Maksym Bilan, Borys Khruskov, Oleksandr Cherkaskyi   +4 more
doaj   +1 more source

From Clinic to Computation: Multiscale Bioengineering Strategies for Durable Biological Aortic Valve Replacements

Advanced Functional Materials, EarlyView.
Bioprosthetic aortic valves have revolutionized the treatment of aortic stenosis, but their durability is limited by structural valve deterioration (SVD). This review focuses on the pericardial tissue at the heart of these valves, examining how its mechanical properties and calcification drive fatigue and failure.
Gabriele Greco, Pierfrancesco Gaziano, Serena Anglese, Simone Morganti, Carlo de Vincentiis, Ferdinando Auricchio, Michele Marino, Michele Conti   +7 more
wiley   +1 more source

Comprehensive market microstructure model: considering the inventory holding costs

Journal of Business Economics and Management, 2017
The purpose of this study is to propose a structural market microstructure model and examine the intraday price and spread dynamics in a highly liquid market.
Doojin Ryu
doaj   +1 more source

Enhanced Li‐Ion Battery Performance with Hybrid MXene/GnR Electrodes: Heterojunctions and Engineered Architectures Supported by DFT Mechanistic Studies for Improved Rate Performance, Stability & Capacity

Advanced Functional Materials, EarlyView.
Lithium‐ion batteries (LIBs) remain central to energy storage but suffer from slow ion transport and degradation. Here, we present a binder‐free Ti3C2Tx MXene/GnR hybrid electrode with a porous 3D architecture formed via freeze casting. The structure enhances conductivity, ion transport, and stability, delivering 401 mAh/g, ∼97% efficiency, and 92 ...
Sara Mohseni Taromsari, Meysam Salari, Dipali Nayak, Saeed Habibpour, Ling Wei Hwang, Cristopher Carreiro, Carlos M. Da Silva, Aiping Yu, Chul B. Park, Cristina H. Amon, Hani E. Naguib   +10 more
wiley   +1 more source

Asian market microstructure

International Review of Financial Analysis, 2006
Along with the rapidly burgeoning Asian economy, the financial markets in the region have seen spectacular development during the past few decades. Several recent statistics will best illustrate their success. Net capital flows to Asia and Pacific over 1999 to 2003 constituted 40% of total flows to emerging markets and about 13.9% of the world's FDI ...
DING, David K., Charoenwong, Charlie
openaire   +3 more sources

GTH-Net: A Dynamic Game-Theoretic HyperNetwork for Non-Stationary Financial Time Series Forecasting

Applied Sciences
Financial time series forecasting remains a challenging task due to the high non-stationarity and concept drift inherent to market data. Existing deep learning models, such as LSTMs and transformers, typically employ static weights after training ...
Fujie Chen, Chen Ding
doaj   +1 more source

Toward Stable Multivalent Metal Batteries: Understanding the Interfacial Chemistry for Magnesium and Calcium Metal Anodes

Advanced Functional Materials, EarlyView.
Interphase chemistry governs the stability of multivalent metal batteries. We summarize state‐of‐the‐art developments in calcium and magnesium metal batteries by focusing on the correlation among electrolytes, interphase layers, and the electrochemical performance of corresponding metal anodes.
Huijun Lin, Qi Meng, Juncai Long, Chuheng Cao, Zheng‐Long Xu   +4 more
wiley   +1 more source

A Score-Driven Conditional Correlation Model for Noisy and Asynchronous Data: an Application to High-Frequency Covariance Dynamics [PDF]

, 2019
The analysis of the intraday dynamics of correlations among high-frequency returns is challenging due to the presence of asynchronous trading and market microstructure noise.
Bormetti, Giacomo, Buccheri, Giuseppe, Corsi, Fulvio, Lillo, Fabrizio   +3 more
core   +2 more sources