Results 121 to 130 of about 29,182 (301)
Advanced Science, EarlyView.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
The multivariate simultaneous unobserved components model and identification via heteroskedasticity
, 2019 We propose a multivariate simultaneous unobserved components framework to determine the two-sided interactions between structural trend and cycle innovations. We relax the standard assumption in unobserved components models that trends are only driven by
Li, Mengheng, Mendieta-Muñoz, Ivan
core
Personalized Network‐Guided Neuromodulation Enhances Human Working Memory
Advanced Science, EarlyView.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
, 2015 Having more reliable statistics is essential for policy-makers to be able to make effective decisions. Nevertheless, measuring the number of tourists in a given destination is not an easy task.
DE CANTIS, Stefano +3 more
core +1 more source
Advanced Science, EarlyView.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
Measuring core inflation in Bangladesh : an unobserved components approach
, 2011 This paper attempts to construct a core inflation measure for Bangladesh using an Unobserved Components modelling approach. One advantage of the Unobserved Components approach is that this method satisfies some essential statistical criteria for a core ...
Omar Bashar (13088247)
core
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced Science, EarlyView.The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Extrinsic vs intrinsic criticality in systems with many components
Physical Review ResearchBiological systems with many components often exhibit seemingly critical behaviors, characterized by atypically large correlated fluctuations. Yet the underlying causes remain unclear. Here we define and examine two types of criticality.
Vudtiwat Ngampruetikorn +2 more
doaj +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Adapted SETAR model for lithuanian HCPI time series
Nonlinear Analysis, 2012 We present adapted SETAR (self-exciting threshold autoregressive) model, which enables simultaneous estimation of nonlinearity and unobserved time series components.
Nomeda Bratčikovienė
doaj