C53 Interacting with UFM1-Protein Ligase 1 Regulates Microtubule Nucleation in Response to ER Stress [PDF]
Cells, 2022 ER distribution depends on microtubules, and ER homeostasis disturbance activates the unfolded protein response resulting in ER remodeling. CDK5RAP3 (C53) implicated in various signaling pathways interacts with UFM1-protein ligase 1 (UFL1), which ...
Stanislav Vinopal +2 more
exaly +6 more sources
A Novel C53/LZAP-interacting Protein Regulates Stability of C53/LZAP and DDRGK Domain-containing Protein 1 (DDRGK1) and Modulates NF-κB Signaling [PDF]
Journal of Biological Chemistry, 2010 C53/LZAP (also named as Cdk5rap3) is a putative tumor suppressor that plays important roles in multiple cell signaling pathways, including DNA damage response and NF-kappaB signaling. Yet how its function is regulated remains largely unclear. Here we report the isolation and characterization of two novel C53/LZAP-interacting proteins, RCAD (Regulator ...
Honglin Li
exaly +3 more sources
Forecasting realized volatility through financial turbulence and neural networks
Economics and Business Review, 2023 This paper introduces and examines a novel realized volatility forecasting model that makes use of Long Short-Term Memory (LSTM) neural networks and the risk metric financial turbulence (FT).
Souto Hugo Gobato, Moradi Amir
doaj +1 more source
eLife, 2020 Eukaryotes have evolved various quality control mechanisms to promote proteostasis in the endoplasmic reticulum (ER). Selective removal of certain ER domains via autophagy (termed as ER-phagy) has emerged as a major quality control mechanism.
Madlen Stephani +28 more
doaj +1 more source
MCMC and GLMs for estimating regression parameters: Evidence from non-life Egyptian insurance sector [PDF]
Journal of Humanities and Applied Social Sciences, 2019 Purpose – The purpose of this study is to estimate the linear regression parameters using two alternative techniques. First technique is to apply the generalized linear model (GLM) and the second technique is the Markov Chain Monte Carlo (MCMC) method ...
Mahmoud ELsayed, Amr Soliman
doaj +1 more source
Value-at-risk predictive performance: a comparison between the CaViaR and GARCH models for the MILA and ASEAN-5 stock markets [PDF]
Journal of Economics Finance and Administrative Science, 2021 Purpose – This paper tests the accuracies of the models that predict the Value-at-Risk (VaR) for the Market Integrated Latin America (MILA) and Association of Southeast Asian Nations (ASEAN) emerging stock markets during crisis periods.
Ramona Serrano Bautista +1 more
doaj +1 more source
Deep Learning Predictive Models for Terminal Call Rate Prediction during the Warranty Period
Business Systems Research, 2020 Background: This paper addresses the problem of products’ terminal call rate (TCR) prediction during the warranty period. TCR refers to the information on the amount of funds to be reserved for product repairs during the warranty period.
Ferencek Aljaž +4 more
doaj +1 more source
The impact of COVID-19 outbreak on the Mauritian export trade: a disaggregated analysis [PDF]
International Trade, Politics and Development, 2022 Purpose – This study aims at evaluating the effect of the COVID-19 pandemic on the export trade system for Mauritius during the first half of 2020 (January 2020–June 2020).
Zameelah Khan Jaffur +5 more
doaj +1 more source
Nonlinear optimisation approach to proposing novel Croatian Industrial Confidence Indicator
Croatian Review of Economic, Business and Social Statistics, 2019 Croatian Industrial Confidence Indicator (ICI) is one of the measures of mangers’ sentiment about the economic situation in the Croatian manufacturing industry. Since 2005, the ICI has been calculated in accordance with the harmonised European Commission
Čižmešija Mirjana +2 more
doaj +1 more source
An Approach for the In-Depth Data Analysis of the Marine Traffic of Independent Nearby Ports
Folia Oeconomica Stetinensia, 2023 Maritime transport helps the development of the economy of countries. Improving the current situation in this type of transport requires the application of modern software tools for assessment, analysis and forecasting.
Vasilev Julian, Sulova Snezhana
doaj +1 more source