Results 51 to 60 of about 1,727,853 (256)

Mechanics of Telson Ridges in Mantis Shrimp for Impact Analysis and Implications for Bioinspired Elastic Shell Designs

open access: yesAdvanced Functional Materials, EarlyView.
The mantis shrimp telson reveals how ridged biological shields control deformation under impact. Inspired by this architecture, telson‐inspired ridged curved shells transform ridge geometry and macroscopic curvature into bidirectional snap‐through, tunable stiffness, and enhanced hysteretic energy dissipation for multifunctional architected materials ...
Phani Saketh Dasika   +5 more
wiley   +1 more source

UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction [PDF]

open access: yes, 2023
Accurate Urban SpatioTemporal Prediction (USTP) is of great importance to the development and operation of the smart city. As an emerging building block, multi-sourced urban data are usually integrated as urban knowledge graphs (UrbanKGs) to provide ...
Liu, Hao   +4 more
core   +2 more sources

Improving Precipitation Forecasting through Early Fusion and Spatiotemporal Prediction: A Case Study Using the MultiPred Model

open access: yesAtmosphere
Due to the complexity and uncertainty of meteorological systems, traditional precipitation forecasting methods have certain limitations. Therefore, based on the common characteristics of meteorological data, a precipitation forecasting model named ...
Bin Wang   +3 more
doaj   +1 more source

Analog Classification of Human Hand Gestures Exploiting Dendritic Integration With an Organic Artificial Soma

open access: yesAdvanced Functional Materials, EarlyView.
An organic neuromorphic architecture for the classification of human motor behavior is presented and validated. It performs somatic integration by linearly combining the activity from three muscles. An investigation of synaptic weights is presented and discussed in relationship with the classification performance.
Ilenia Sergi   +7 more
wiley   +1 more source

Spatiotemporal Dense Prediction of 4D Dynamic Brain Networks through Weak Supervision [PDF]

open access: yes
Brain dynamism is a highly intricate phenomenon that encompasses dynamic patterns of neural activity. This complexity arises from the intricate network of neural interactions and necessitates sophisticated computational models to fully comprehend its ...
Kazemivash, Behnam
core   +1 more source

XTRUDE: A Process‐Informed Framework for High‐Fidelity Analysis of Hydrogel Extrusion

open access: yesAdvanced Functional Materials, EarlyView.
Extrusion performance emerges from the interplay between material properties and processing conditions. XTRUDE (eXTrusion Rheology for Understanding and Defining Extrudability) recreates the extrusion environment with in situ pressure and temperature sensing, enabling characteristic pressure signatures to quantify extrusion‐specific phenomena and ...
Farhad Sanaei   +4 more
wiley   +1 more source

STGATN: A novel spatiotemporal graph attention network for predicting pollutant concentrations at multiple stations.

open access: yesPLoS ONE
Accurately predicting air pollutant concentrations can reduce health risks and provide crucial references for environmental governance. In pollution prediction tasks, three key factors are essential: (1) dynamic dependencies among global monitoring ...
Huazhen Xu   +4 more
doaj   +1 more source

Engineered Microvascular Model of the Blood–Brain–Tumor Barrier Reveals Endothelial Remodeling in Diffuse Midline Glioma

open access: yesAdvanced Healthcare Materials, EarlyView.
We developed a patient‐derived, functional microfluidic model of the diffuse midline glioma (DMG) blood–brain–tumor barrier (BBTB) comprised of endothelial cells, astrocytes, pericytes, and tumor cells. The system forms perfusable microvasculature, reveals the BBTB retains vascular integrity, identifies DMG‐specific transcriptomic changes distinct from
Kimberly R. Bennett   +7 more
wiley   +1 more source

Energy prediction using spatiotemporal pattern networks [PDF]

open access: yes, 2017
This paper presents a novel data-driven technique based on the spatiotemporal pattern network (STPN) for energy/power prediction for complex dynamical systems.
Liu, Chao   +4 more
core  

Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile

open access: yes, 2020
Spatiotemporal data are very common in many applications, such as manufacturing systems and transportation systems. Given the intrinsic complex spatial and temporal correlations of such data, short-term and long-term prediction for spatiotemporal data is
Tsung, Fugee   +3 more
core   +1 more source

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