Results 81 to 90 of about 903,642 (299)

An intracellular transporter mitigates the CO2‐induced decline in iron content in Arabidopsis shoots

open access: yesFEBS Letters, EarlyView.
This study identifies a gene encoding a transmembrane protein, MIC, which contributes to the reduction of shoot Fe content observed in plants under elevated CO2. MIC is a putative Fe transporter localized to the Golgi and endosomal compartments. Its post‐translational regulation in roots may represent a potential target for improving plant nutrition ...
Timothy Mozzanino   +7 more
wiley   +1 more source

Stand Height Increment from Two-Epoch Aerial Laser Scanning Data and Inventory Data

open access: yesSensors
The use of LiDAR in estimating tree growth is a current and practical research topic that is important from both an ecological and forest management perspective.
Paulina Jaczewska   +2 more
doaj   +1 more source

Structural insights into lacto‐N‐biose I recognition by a family 32 carbohydrate‐binding module from Bifidobacterium bifidum

open access: yesFEBS Letters, EarlyView.
Bifidobacterium bifidum establishes symbiosis with infants by metabolizing lacto‐N‐biose I (LNB) from human milk oligosaccharides (HMOs). The extracellular multidomain enzyme LnbB drives this process, releasing LNB via its catalytic glycoside hydrolase family 20 (GH20) lacto‐N‐biosidase domain.
Xinzhe Zhang   +5 more
wiley   +1 more source

Assessment of the Solar Potential of Buildings Based on Photogrammetric Data

open access: yesEnergies
In recent years, a growing demand for alternative energy sources, including solar energy, has been observed. This article presents a methodology for assessing the solar potential of buildings using images from Unmanned Aerial Vehicles (UAVs) and point ...
Paulina Jaczewska   +2 more
doaj   +1 more source

Modeling With Prejudice: Small-Sample Learning via Adversary for Semantic Segmentation

open access: yesIEEE Access, 2018
Semantic segmentation has become one of the core tasks for scene understanding and many high-level works heavily rely on its performance. In the past decades, much progress has been achieved. However, some problems still need to be settled.
Zhiyu Jiang, Qi Wang, Yuan Yuan
doaj   +1 more source

A study to explore the use of orbital remote sensing to determine native arid plant distribution [PDF]

open access: yes, 1974
The author has identified the following significant results. It is possible to determine, from ERTS imagery, native arid plant distribution. Using techniques of multispectral masking and extensive fieldwork, three native vegetation communities were ...
Conn, J. S.   +5 more
core   +2 more sources

Increasing the spatial resolution of agricultural land cover maps using a Hopfield neural network

open access: yes, 2003
Land cover class composition of remotely sensed image pixels can be estimated using soft classification techniques increasingly available in many GIS packages.
Atkinson, P.M.   +3 more
core   +1 more source

The role and implications of mammalian cellular circadian entrainment

open access: yesFEBS Letters, EarlyView.
At their most fundamental level, mammalian circadian rhythms occur inside every individual cell. To tell the correct time, cells must align (or ‘entrain’) their circadian rhythm to the external environment. In this review, we highlight how cells entrain to the major circadian cues of light, feeding and temperature, and the implications this has for our
Priya Crosby
wiley   +1 more source

Interplay between circadian and other transcription factors—Implications for cycling transcriptome reprogramming

open access: yesFEBS Letters, EarlyView.
This perspective highlights emerging insights into how the circadian transcription factor CLOCK:BMAL1 regulates chromatin architecture, cooperates with other transcription factors, and coordinates enhancer dynamics. We propose an updated framework for how circadian transcription factors operate within dynamic and multifactorial chromatin landscapes ...
Xinyu Y. Nie, Jerome S. Menet
wiley   +1 more source

An uncued brain-computer interface using reservoir computing [PDF]

open access: yes, 2010
Brain-Computer Interfaces are an important and promising avenue for possible next-generation assistive devices. In this article, we show how Reservoir Comput- ing – a computationally efficient way of training recurrent neural networks – com- bined with a
Buteneers, Pieter   +3 more
core  

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