Results 91 to 100 of about 524,481 (298)
Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
ForecastingAccurately predicting carbon trading price is challenging due to pronounced nonlinearity, non-stationarity, and sensitivity to diverse factors, including macroeconomic conditions, market sentiment, and climate policy.
Xu Wang +5 more
doaj +1 more source
Combined Method to Upraise Forecasting Accuracy
, 2005 Formerly, following method was proposed by us. Focusing that the equation of exponential smoothing method was equivalent to (1,1) order ARMA model equation, new method of estimation of smoothing constant in exponential smoothing method was proposed.
樋口, 友紀 +3 more
core
FEBS Letters, EarlyView.Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure +3 more
wiley +1 more source
Volatility has been one of the most active and successful areas of research in time series econometrics and economic forecasting in recent decades. This chapter provides a selective survey of the most important theoretical developments and empirical ...
Tim Bollerslev +3 more
core +4 more sources
A System Dynamics Framework for Market Share Forecasting in the Telecommunications Market
ForecastingThis paper presents a novel system dynamics-based framework for forecasting market share evolution in the telecommunications sector. The framework conceptualizes market share as flows of subscribers—driven by churn, attraction, and market growth—between ...
Nikolaos Kanellos +2 more
doaj +1 more source
Wind forecasting using Principal Component Analysis [PDF]
, 2014 We present a new statistical wind forecasting tool based on Principal Component Analysis (PCA), which is trained on past data to predict the wind speed using an ensemble of dynamically similar past events.
Fruh, Wolf-Gerrit; id_orcid +3 more
core +1 more source
The human gut microbiome across the life course
FEBS Letters, EarlyView.Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
A New Loss Function for Enhancing Peak Prediction in Time Series Data with High Variability
ForecastingTime series models are considered among the most intricate models in machine learning. Due to sharp temporal variations, time series models normally fall short in predicting the peaks or local minima accurately.
Mahan Hajiabbasi Somehsaraie +4 more
doaj +1 more source
Should We Redesign Forecasting Competitions? [PDF]
The M3-Competition continues to improve the design of forecasting competitions: It examines more series than any previous competition, improves error analyses. and includes commercial forecasting programs as competitors. To judge where to go from here, I
JS Armstrong
core