Results 81 to 90 of about 24,705,727 (296)

Supercapacitor Safety: Overcharge‐Induced Failure Mechanisms in Electrochemical Double‐Layer Capacitors

open access: yesAdvanced 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

msaneme/Spatio-Temporal-semantic-data-model: Spatio-Temporal Semantic Data Model for IoT (set of Schemas)

open access: yes
<p>The set of Schemas defining the modeling of a novel Spatio-Temporal Semantic Data Model for IoT devices.</p> <p>Set of JSON schemas that model sensor or device observations and state vectors of vehicles, unmanned vehicles (UA), and ...
Mario San Emeterio de la Parte
core   +1 more source

Spatiotemporal Multi‐Omic Mapping Reveals Liver‐Muscle Metabolic Crosstalk in Cancer Cachexia

open access: yesAdvanced 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

Spatio-temporal analysis and optimization of land use/cover change

open access: yes, 2017
This book proposes a method to solve land use problems, and has made some significant contributions to the land use analysis and optimization study fields.
Huang, Bo, Zhang, Wenting, Liu, Biao
core   +1 more source

A Bayesian spatio-temporal geostatistical model with an auxiliary lattice for large datasets [PDF]

open access: yes, 2014
When spatio-temporal datasets are large, the computational burden can lead to failures in the implementation of traditional geostatistical tools. In this paper, we propose a computationally efficient Bayesian hierarchical spatio-temporal model in which ...
Xu, Ganggang   +2 more
core   +1 more source

Organic Electrochemical Transistors for Neuromorphic Bioelectronics: Materials and Manufacturing Technologies

open access: yesAdvanced 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

Complex spatio-temporal features in meg data

open access: yesMathematical Biosciences and Engineering, 2006
Magnetoencephalography (MEG) brain signals are studied using a method for characterizing complex nonlinear dynamics. This approach uses the value of d(infinity) (d-infinite) to characterize the system's asymptotic chaotic behavior. A novel procedure has been developed to extract this parameter from time series when the system's structure and laws are ...
F. SAPUPPO   +6 more
openaire   +5 more sources

Matrix Rigidity Mechanoprimes Microglia for Inflammation Through Cytoskeletal‐to‐Nuclear Signaling and 3D Spatio‐Epigenomic Remodeling

open access: yesAdvanced Science, EarlyView.
Pathological tissue rigidity mechanoprimes microglia by enhancing actin cytoskeleton–nucleus coupling and chromatin opening at rigidity‐responsive cis‐regulatory elements (mechanoCREs). Subsequent NF‐κB/p65 signaling converges on this permissive regulatory state to amplify inflammatory gene expression and microglial activation.
Yu Xuan Meng   +15 more
wiley   +1 more source

Water Body Extraction Method Based on ConvNeXt and Dual Feature Extraction Branch [PDF]

open access: yesJisuanji kexue yu tansuo
Due to the combined effects of complex spectral mixtures, blurred boundaries of ground objects, and environmental noise, it is extremely challenging to accurately identify water boundaries from high-resolution remote sensing images.
ZHOU Ke, CHANG Ranran, XU Xizhi, MIAO Ru, ZHANG Guangyu, WANG Jiaqian
doaj   +1 more source

On Discovering Moving Clusters in Spatio-temporal Data [PDF]

open access: yes, 2005
A moving cluster is defined by a set of objects that move close to each other for a long time interval. Real-life examples are a group of migrating animals, a convoy of cars moving in a city, etc. We study the discovery of moving clusters in a database of object trajectories. The difference of this problem compared to clustering trajectories and mining
Panos Kalnis   +2 more
openaire   +3 more sources

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