Results 61 to 70 of about 10,612,437 (315)
Dynamic hysteresis in Finemet thin films
, 2003 We performed a series of dynamic hysteresis measurements on three series of Finemet films with composition Fe$_{73.5}$Cu$_1$Nb$_3$Si$_13.5$B$_9$, using both the longitudinal magneto-optical Kerr effect (MOKE) and the inductive fluxometric method.
Colaiori, F. +5 more
core +2 more sources
Structural biology of ferritin nanocages
FEBS Letters, EarlyView.Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley +1 more source
Novel Method for Estimating Time-Varying COVID-19 Transmission Rate
Mathematics, 2023 The transmission rate is an important indicator for characterizing a virus and estimating the risk of its outbreak in a certain area, but it is hard to measure. COVID-19, for instance, has greatly affected the world for more than 3 years since early 2020,
Hongfei Xiao, Deqin Lin, Shiyu Li
doaj +1 more source
Hierarchical time‐series analysis of dynamic bioprocess systems
Biotechnology Journal, 2022 AbstractBackgroundMonoclonal antibodies (mAbs) are leading types of ‘blockbuster’ biotherapeutics worldwide; they have been successfully used to treat various cancers and chronic inflammatory and autoimmune diseases. Biotherapeutics process development and manufacturing are complicated due to lack of understanding the factors that impact cell ...
Alinaghi, Masoumeh +7 more
openaire +4 more sources
Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting [PDF]
, 2018 We develop the methodology and a detailed case study in use of a class of Bayesian predictive synthesis (BPS) models for multivariate time series forecasting. This extends the recently introduced foundational framework of BPS to the multivariate setting,
Aastveit, Knut Are +3 more
core +1 more source
, 2016 We discuss Bayesian forecasting of increasingly high-dimensional time series, a key area of application of stochastic dynamic models in the financial industry and allied areas of business.
West, Mike, Xie, Meng, Zhao, Zoey Yi
core +1 more source
β‐TrCP overexpression enhances cisplatin sensitivity by depleting BRCA1
Molecular Oncology, EarlyView.Low levels of β‐TrCP (Panel A) allow the accumulation of BRCA1 and CtIP, which facilitate the repair of cisplatin‐induced DNA damage via homologous recombination (HR) and promote tumor cell survival. In contrast, high β‐TrCP expression (Panel B) leads to BRCA1 and CtIP degradation, impairing HR repair, resulting in persistent DNA damage and apoptosis ...
Rocío Jiménez‐Guerrero +8 more
wiley +1 more source
Dynamic Multi-Scale Convolutional Neural Network for Time Series Classification
IEEE Access, 2020 Time series classification is an essential task in many real-world application domains. As a popular deep learning network, convolutional neural networks have achieved excellent performance in time series classification tasks.
Bin Qian +6 more
doaj +1 more source
IEEE Access, 2023 In this paper, an innovative algorithm for averaging a set of multivariate time series with different lengths based on Constrained Dynamic Time Warping (CDTW) is proposed.
Irati Rasines +3 more
doaj +1 more source
Cross-Correlation Dynamics in Financial Time Series [PDF]
SSRN Electronic Journal, 2009 The dynamics of the equal-time cross-correlation matrix of multivariate financial time series is explored by examination of the eigenvalue spectrum over sliding time windows. Empirical results for the S&P 500 and the Dow Jones Euro Stoxx 50 indices reveal that the dynamics of the small eigenvalues of the cross-correlation matrix, over these time ...
Conlon, Thomas +2 more
openaire +4 more sources