Results 71 to 80 of about 24,288,003 (306)
Spatio-temporal principal component analysis
, 2023 Principal component analysis (PCA) is a well-established research approach extensively utilised in the quantitative social sciences. The primary objective of the present study is to devise and evaluate a novel methodology that effectively addresses the ...
Mirosław Krzyśko (6952814) +4 more
core +1 more source
Advanced Science, EarlyView.Human iPSC‐derived Fabry cardiomyocytes exhibited broad transcriptional dysregulation, apoptosis, mitochondrial dysfunction, impaired reactive oxygen species handling, altered contractility, and abnormal calcium transient decay, potentially mediated by phospholamban hyperphosphorylation.
Malte Juchem +24 more
wiley +1 more source
EAGLE—A Scalable Query Processing Engine for Linked Sensor Data
Sensors, 2019 Recently, many approaches have been proposed to manage sensor data using semantic web technologies for effective heterogeneous data integration. However, our empirical observations revealed that these solutions primarily focused on semantic relationships
Hoan Nguyen Mau Quoc +4 more
doaj +1 more source
Advanced Science, EarlyView.Time‐resolved synchrotron radiography reveals the internal evolution of electrochemical double‐layer capacitors under abusive overcharge. EDLCs are shown to follow a thermally driven failure pathway involving electrolyte decomposition, gas generation, and structural collapse, distinct from chemically driven thermal runaway effects of Lithium‐ion ...
Thomas Dore +19 more
wiley +1 more source
A spatio-temporal analysis of migration
Empirical Economics, 2018 Migration is a space- and time-dependent phenomenon. Traditional geographical migration models have considered the distance between source and destination countries or have applied suitable normalizations to treat the correlation among migratory flows.
openaire +1 more source
A Spatio-Temporal Model for Massive Analysis of Shapefiles [PDF]
International Journal of Trend in Scientific Research and Development, 2017 Over the course of time an organization working with geospatial data accumulates tons of data both in the form of vector and raster formats. This data is a result of co ordinated processes within the organization and external sources such as other collaborative organizations, projects and agencies, crowd sourcing efforts, etc.
openaire +2 more sources
Surface time series models for large spatio-temporal datasets
, 2023 The data observed in many phenomena have a spatial and a temporal component. Due to the rapid development of complex, performant technologies, spatio-temporal data can now be collected on a large scale.
Martinez Hernandez, Israel +1 more
core +1 more source
Spatiotemporal Multi‐Omic Mapping Reveals Liver‐Muscle Metabolic Crosstalk in Cancer Cachexia
Advanced Science, EarlyView.The interactive CCAtlas platform delineates cross‐species, spatiotemporal, and sex‐specific molecular dynamics and metabolic rewiring across organs during cancer cachexia. Hepatic Gamt downregulation curtails hepatic creatine synthesis to trigger systemic creatine insufficiency and consequent skeletal muscle atrophy in LLC tumour‐bearing mice ...
Zihan Tian +12 more
wiley +1 more source
Advanced Science, EarlyView.Organic electrochemical transistors bridge biological ionic signaling and neuromorphic computation through volumetric electrochemical gating. This review connects Organic mixed ionic–electronic conductor materials, device architectures, and manufacturing technologies to show how geometry, ion transport, and fabrication strategies program plasticity ...
Hyunjin Lee +5 more
wiley +1 more source
Spatio-temporal features of dataset.
, 2023 BackgroundAccurately predicting mobile network traffic can help mobile network operators allocate resources more rationally and can facilitate stable and fast network services to users.
Shuhui Gong (16954607) +3 more
core +1 more source