Results 51 to 60 of about 1,198,610 (285)

R-vine Models for Spatial Time Series with an Application to Daily Mean Temperature [PDF]

, 2014
We introduce an extension of R-vine copula models for the purpose of spatial dependency modeling and model based prediction at unobserved locations.
Czado, Claudia, Erhardt, Tobias Michael, Schepsmeier, Ulf   +2 more
core  

Mapping the evolution of mitochondrial complex I through structural variation

FEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin, Tingting Chen, James A. Letts   +2 more
wiley   +1 more source

Probabilistic Uncertainty Consideration in Regionalization and Prediction of Groundwater Nitrate Concentration

Knowledge
In this study, we extend our previous work on a two-dimensional convolutional neural network (2DCNN) for spatial prediction of groundwater nitrate, focusing on improving uncertainty quantification.
Divas Karimanzira
doaj   +1 more source

Geostatistical indexes for quantifying spatial information on hyperspectral imaging: an application for the evaluation of regression models [PDF]

, 2019
Hyperspectral (HS) images have the characteristic of containing both spectral and spatial information of a sample. Typically, spectral information can be related with chemical and physical properties through multivariate regression models.
Chaix, Gilles, Gorretta, Nathalie, Gowen, Aoife, Herrero-Langreo, Ana, Jun-Li Xu,, Roger, Jean-Michel, Tisseyre, Bruno   +6 more
core  

Prediction-Based Task Assignment in Spatial Crowdsourcing (Technical Report)

, 2017
Spatial crowdsourcing refers to a system that periodically assigns a number of location-based workers with spatial tasks nearby (e.g., taking photos or videos at some spatial locations).
Chen, Lei, Cheng, Peng, Lian, Xiang, Shahabi, Cyrus   +3 more
core   +2 more sources

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Hybrid kriging methods for interpolating sparse river bathymetry point data

Ciência e Agrotecnologia
Terrain models that represent riverbed topography are used for analyzing geomorphologic changes, calculating water storage capacity, and making hydrologic simulations. These models are generated by interpolating bathymetry points.
Pedro Velloso Gomes Batista, Marx Leandro Naves Silva, Fabio Arnaldo Pomar Avalos, Marcelo Silva de Oliveira, Michele Duarte de Menezes, Nilton Curi   +5 more
doaj   +1 more source

A Novel Sound Speed Profile Prediction Method Based on the Convolutional Long-Short Term Memory Network

Journal of Marine Science and Engineering, 2022
As an important marine environmental parameter, sound velocity greatly affects the sound propagation characteristics in the ocean. In marine surveying work, prompt and low-cost acquisition of accurate sound speed profiles (SSP) is of immense significance
Bingyang Li, Jingsheng Zhai
doaj   +1 more source

Future Frame Prediction for Anomaly Detection -- A New Baseline

, 2018
Anomaly detection in videos refers to the identification of events that do not conform to expected behavior. However, almost all existing methods tackle the problem by minimizing the reconstruction errors of training data, which cannot guarantee a larger
Gao, Shenghua, Lian, Dongze, Liu, Wen, Luo, Weixin   +3 more
core   +1 more source

In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS

FEBS Letters, EarlyView.
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka, Yuxi Liu, Stefano Maggi, Debnath Ghosal, Jue Wang, Prashant P. Damke, Stephen D. Carter, Wei Zhao, Sukhithasri Vijayrajratnam, Joseph P. Vogel, Carrie L. Shaffer, Grant J. Jensen   +11 more
wiley   +1 more source