Results 121 to 130 of about 26,074 (306)
Empirical analysis of business cycles using the unobserved components model
Timely estimates of the current state of the business cycle in a number of economic indicators are essential in the setting of the stance of macroeconomic policy.
Andrew E. Evans (12312239)
core +1 more source
When a master transcription factor (TF) is lost, bacteria can rapidly rewire gene regulatory networks by co‐opting related regulators. Using experimental evolution in Pseudomonas fluorescens, we show that TF promiscuity (low‐level, non‐cognate binding) provides the raw material for rewiring. Successful co‐option follows a predictable hierarchy governed
Tiffany B. Taylor, Alan M. Rice
wiley +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
An Evaluation of the Exchange Rate Forecasting Performance of the New Keynesian Model
This paper evaluates the dynamic out of sample nominal exchange rate forecasting performance of the canonical New Keynesian model of a small open economy.
Vitek, Francis
core
Current theories of bacterial growth physiology demonstrate impressive predictive power but are often phenomenological, lacking mechanistic detail. Incorporating such details would significantly enhance our ability to predict and control bacterial growth
Rossana Droghetti +9 more
doaj +1 more source
Bootstrapping unobserved component models
En esta tesis, proponemos el uso de técnicas bootstrap para incorporar la incertidumbre de la estimación de los parámetros en modelos de componentes inobservados expresado en un contexto de modelos de espacio de los estados. A lo largo de los capítulos usamos simulaciones Monte Carlo y datos reales para mostrar los resultados de los procedimientos ...
openaire +2 more sources
Personalized Network‐Guided Neuromodulation Enhances Human Working Memory
A personalized neuromodulation framework combining individualized functional brain network targeting with real‐time neural decoding is introduced. Using concurrent TMS–fMRI, participant‐specific stimulation targets and optimal frequencies are identified. Only optimal‐frequency stimulation improves working memory across sessions.
Ahsan Khan +13 more
wiley +1 more source
OUTPUT FLUCTUATIONS IN THE G-7: AN UNOBSERVED COMPONENTS APPROACH
This paper proposes a multivariate unobserved-components model to simultaneously decompose the real GDP for each of the G-7 countries into its respective trend and cycle components.
Sinchan Mitra (14434542) +5 more
core +1 more source
StatGraph: an R package for complex network statistical analyses based on spectrum
The analysis of complex networks has traditionally relied on descriptive measures, such as centrality and clustering coefficients, as well as algorithms for detecting partitions and components. Additionally, a range of software packages has been designed
Grover Enrique Castro Guzman +6 more
doaj +1 more source
A one‐step, asymmetric reductive coupling of alkynes and oxa‐ and aza‐bicyclic olefins using a cobalt/photoredox catalytic system through desymmetrization. ABSTRACT Bicyclo[2.2.1]heptane frameworks represent a privileged structural motif prevalent in numerous natural products and bioactive molecules.
Subhankar Pradhan +5 more
wiley +1 more source

