Results 31 to 40 of about 221,640 (269)
Bivariate Volatility Modeling with High-Frequency Data
We propose a methodology to include night volatility estimates in the day volatility modeling problem with high-frequency data in a realized generalized autoregressive conditional heteroskedasticity (GARCH) framework, which takes advantage of the natural
Marius Matei, Xari Rovira, Núria Agell
doaj +1 more source
A guide to reactive oxygen species in tumour hypoxia: measurement and therapeutic implications
Hypoxia reshapes tumour redox landscapes by altering compartmental ROS production (mitochondria, NOX, ER, peroxisomes). Accurate interpretation requires oxygen‐contextualised measurement (live biosensors, chemical probes, EPR, LC–MS) and awareness of artefacts (reoxygenation, probe specificity).
Lina Hacker +3 more
wiley +1 more source
This study proposes a novel hybrid model for stock volatility forecasting by integrating directional and temporal dependencies among financial time series and market regime changes into a unified modeling framework.
Sangheon Lee, Poongjin Cho
doaj +1 more source
IqgC is a RasGAP from Dictyostelium discoideum. IqgC binds RasG via its RasGAP domain and deactivates it on macroendocytic cups, thereby suppressing the uptake of fluid and particles. IqgC has a positive effect on cell‐substratum adhesion, and its RGCt domain is required for recruitment to ventral foci.
Vedrana Filić +3 more
wiley +1 more source
This study addressed how a senior research thesis is perceived by undergraduate students. It assessed students' perception of research skills, epistemological beliefs, and career goals in Biochemistry (science) and BDC (science‐business) students. Completing a thesis improved confidence in research skills, resilience, scientific identity, closed gender‐
Celeste Suart +4 more
wiley +1 more source
Dengue infection alters mosquito flight behavior, enabling detection using machine learning classifiers. This study analyzes 3D flight trajectories and evaluates multiple models, showing that longer sequence lengths improve classification performance.
Nouman Javed +3 more
wiley +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source
Ni‐base superalloys produced using additive manufacturing (AM) have a different response to heat treatments when compared to their conventional counterparts. Due to such unpredictability, various alloys with industrial interest are currently overlooked in most prior AM research.
Guilherme Maziero Volpato +6 more
wiley +1 more source
Income disparities and convergence across regions of Central Europe
This paper deals with the analysis of regional income disparities of the net disposable income of households (in Euro per inhabitant) across the regions of Central Europe (Austria, Czech Republic, Slovakia, Poland, Hungary and Germany) during the period ...
Michaela Chocholatá, Andrea Furková
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Influencing Factors Analysis of Crude Oil Futures Price Volatility Based on Mixed-Frequency Data
This article takes into account the form of mixed data as well as the peak and thick tail characteristics contained in the data characteristics, expands the GARCH-MIDAS (Generalized Autoregressive Conditional Heteroskedasticity-Mixed Data Sampling) model,
Congxin Wu +4 more
doaj +1 more source

