Results 71 to 80 of about 1,198,610 (285)

A methionine‐lined active site governs carbocation stabilization and product specificity in a bacterial terpene synthase

open access: yesFEBS Letters, EarlyView.
This study reveals a unique active site enriched in methionine residues and demonstrates that these residues play a critical role by stabilizing carbocation intermediates through novel sulfur–cation interactions. Structure‐guided mutagenesis further revealed variants with significantly altered product profiles, enhancing pseudopterosin formation. These
Marion Ringel   +13 more
wiley   +1 more source

Effect of Spatial and Temporal Prediction on Tactile Sensitivity

open access: yesBrain Sciences
The purpose of the present study was to examine whether spatial or temporal prediction of the tactile stimulus contributes to tactile sensitivity. To investigate the effect of spatial prediction on tactile sensitivity, electrical stimuli were provided ...
Hiroshi Kunimura   +5 more
doaj   +1 more source

Tree-Structured Parzan Estimator–Machine Learning–Ordinary Kriging: An Integration Method for Soil Ammonia Spatial Prediction in the Typical Cropland of Chinese Yellow River Delta with Sentinel-2 Remote Sensing Image and Air Quality Data

open access: yesRemote Sensing, 2023
Spatial prediction of soil ammonia (NH3) plays an important role in monitoring climate warming and soil ecological health. However, traditional machine learning (ML) models do not consider optimal parameter selection and spatial autocorrelation. Here, we
Yingqiang Song   +9 more
doaj   +1 more source

Diversity and complexity in neural organoids

open access: yesFEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

Knowledge Extraction and Improved Data Fusion for Sales Prediction in Local Agricultural Markets

open access: yesSensors, 2019
In this paper, a monitoring system of agricultural production is modeled as a Data Fusion System (data from local fairs and meteorological data). The proposal considers the particular information of sales in agricultural markets for knowledge extraction ...
Washington R. Padilla   +2 more
doaj   +1 more source

Two loop renormalisation of the magnetic coupling in hot QCD and spatial Wilson loop

open access: yes, 2004
With the known two loop renormalisation of the magnetic coupling, the 4D results of the spatial Wilson loop are compared to the prediction from the magnetostatic sector.Comment: 5 pages.
Giovannangeli, P.
core   +2 more sources

Predictive Spatial Modelling

open access: yes, 2020
Predictive modelling is a set of techniques, used since the 1970s, to predict the location of archaeological sites in uninvestigated areas as an aid to spatial planning, for example, in Cultural Resource Management. Predictive modelling is also used to develop and test scientific models of human locational behaviour, as it is based on either ...
Verhagen, J.W.H.P., Whitley, T.G.
openaire   +2 more sources

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

open access: yesMolecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice   +16 more
wiley   +1 more source

New multifactor spatial prediction method based on Bayesian maximum entropy

open access: yes浙江大学学报. 农业与生命科学版, 2013
The spatial distributions of soil properties (e.g., organic matter and heavy metal content) are vital to soil quality evaluation and regional environment assessment.
YANG Yong, ZHANG Chutian, HE Liyuan
doaj   +1 more source

Ensemble Machine Learning Approach Improves Predicted Spatial Variation of Surface Soil Organic Carbon Stocks in Data-Limited Northern Circumpolar Region

open access: yesFrontiers in Big Data, 2020
Various approaches of differing mathematical complexities are being applied for spatial prediction of soil properties. Regression kriging is a widely used hybrid approach of spatial variation that combines correlation between soil properties and ...
Umakant Mishra   +3 more
doaj   +1 more source

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