Results 111 to 120 of about 234,460 (307)
Advanced Science, EarlyView.This study systematically reveals a complex interactive network involving plants, microbes, and insects, elucidating the ecological and molecular mechanisms by which cotton enhances its resistance to aphids through the active recruitment of the beneficial soil bacterium Delftia tsuruhatensis.
Hui Xue +11 more
wiley +1 more source
Forecasting Inflation Using Univariate and Multivariate Time Series
JISR Management and Social Sciences & Economics, 2009 The purpose of the study is to forecast inflation in Pakistan from January to June 2008. This study set out to redress the deficiency and explicitly use of time series techniques solely for forecasting purposes.
Azam Ali, S.M. Husnain Bokhari
doaj
VARIANCE CHANGES DETECTION IN MULTIVARIATE TIME SERIES [PDF]
This paper studies the detection of step changes in the variances and in the correlation structure of the components of a vector of time series. Two procedures are considered.
Daniel Peña, Pedro Galeano
core
Advanced Science, EarlyView.Biological rhythms coordinate physiology, from genes to behavior. Study of circadian rhythms in brain tissue is constrained by limited throughput and spatial and temporal information quality. A new platform for high‐throughput, long‐term multiplexed fluorescent live imaging of circadian rhythms in brain slices is introduced.
Marco Ferrari +3 more
wiley +1 more source
StatsIdentifying regions with similar meteorological features is of both socioeconomic and ecological importance. Towards that direction, useful information can be drawn from meteorological stations, and spread in a broader area.
Ekaterini Skamnia +2 more
doaj +1 more source
Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation
Advanced Science, EarlyView.This study presents a scalable all‐electrical method for precise neuronal‐circuit reconfiguration based on high‐density microelectrode arrays. By employing biologically inspired plasticity rules, targeted connectivity changes were successfully induced and quantified across diverse neuronal preparations.
Sreedhar S. Kumar +10 more
wiley +1 more source
Advanced Science, EarlyView.Dual targeting of ANGPTL3 and IL‐33/ST2 attenuates diabetic kidney disease by reprogramming lipid–inflammatory crosstalk. This strategy reduces renal lipotoxicity, suppresses inflammatory activation, and limits fibrotic remodeling, thereby preserving kidney structure and function and highlighting a mechanism‐guided therapeutic approach for metabolic ...
Zhuojin Li +8 more
wiley +1 more source
Prediction of Multivariate Chaotic Time Series using GRU, LSTM and RNN
Sakarya University Journal of Computer and Information SciencesChaotic systems are identified as nonlinear, deterministic dynamic systems that are exhibit sensitive to initial values. Some chaotic equations modeled from daily events involve time information and generate chaotic time series that are sequential data ...
Osman Eldoğan, Gülyeter Öztürk
doaj +1 more source
Multivariate exponential smoothing for forecasting tourist arrivals to Australia and New Zealand [PDF]
In this paper we propose a new set of multivariate stochastic models that capture time varying seasonality within the vector innovations structural time series (VISTS) framework.
Ashton de Silva, George Athanasopoulos
core
Advanced Science, EarlyView.ABHD17C‐mediated depalmitoylation of BCL6B at Cys442 blocks its nuclear import and triggers ubiquitin‐dependent degradation, attenuating transcriptional repression of the anti‐phagocytic signal CD24. This mechanism enables pancreatic cancer cells to evade macrophage phagocytosis and fosters an immunosuppressive microenvironment.
Yalu Zhang +9 more
wiley +1 more source