Results 81 to 90 of about 527,315 (302)
Интеллект. Инновации. ИнвестицииThe relevance of the study is conditioned by the implementation in the Russian Federation of a number of macro-regional and regional strategies, national and regional programs aimed at the development of the Far Eastern Federal District, the ...
E. V. Gokhshtand
doaj +1 more source
This paper studies time variation in expected excess bond returns. We run regressions of annual excess returns on forward rates. We find that a single factor predicts 1-year excess returns on 1-5 year maturity bonds with an R2 up to 43%.
John H. Cochrane, Monika Piazzesi
core
Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma
Molecular Oncology, EarlyView.The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic +5 more
wiley +1 more source
Long-Term Passenger Flow Forecasting for Rail Transit Based on Complex Networks and Informer
SensorsWith the continuous growth of urbanization, passenger flow in urban rail transit systems is steadily increasing, making accurate long-term forecasting essential for optimizing operational scheduling and enhancing service quality.
Dekui Li, Shubo Du, Yuru Hou
doaj +1 more source
Modeling the FIBOR/EURIBOR Swap Term Structure: An Empirical Approach [PDF]
In this study we forecast the term structure of FIBOR/EURIBOR swap rates by means of recursive vector autoregressive (VAR) models. In advance, a principal components analysis (PCA) is adopted to reduce the dimensionality of the term structure.
Gonzalo de Cadenas Santiago +2 more
core
Modelling tourism demand to Spain with machine learning techniques. The impact of forecast horizon on model selection [PDF]
, 2016 This study assesses the influence of the forecast horizon on the forecasting performance of several machine learning techniques. We compare the fo recastaccuracy of Support Vector Regression (SVR) to Neural Network (NN) models, using a linear model as a ...
Claveria, Oscar +2 more
core +1 more source
xLSTMTime: Long-Term Time Series Forecasting with xLSTM
AIIn recent years, transformer-based models have gained prominence in multivariate long-term time series forecasting (LTSF), demonstrating significant advancements despite facing challenges such as high computational demands, difficulty in capturing temporal dynamics, and managing long-term dependencies.
Musleh Alharthi, Ausif Mahmood
openaire +3 more sources
Hippo pathway at the crossroads of stemness and therapeutic resistance in breast cancer
Molecular Oncology, EarlyView.Dysregulation of the Hippo pathway drives nuclear accumulation of YAP/TAZ, activating stemness‐related transcriptional programs that sustain breast cancer stemness and fuel therapeutic resistance across subtypes, underscoring Hippo signaling as a targetable vulnerability. Figure created and edited with BioRender.com.
Giulia Schiavoni +11 more
wiley +1 more source
Forecasts of U.S. short-term interest rates: a flexible forecast combination approach [PDF]
This paper develops a flexible approach to combine forecasts of future spot rates with forecasts from time-series models or macroeconomic variables.
Allan Timmerman, Massimo Guidolin
core
Molecular Oncology, EarlyView.Here, we demonstrate that HS1BP3 interacts with Cortactin through a proline‐rich region (PRR3.1) and show that this interaction, and HS1BP3 itself, promote cancer cell proliferation and invasion. Inhibition of this interaction leads to build‐up of TKS5 in multivesicular endosomes and altered secretion of CD63 and CD9, providing an explanation for the ...
Arja Arnesen Løchen +9 more
wiley +1 more source