Results 111 to 120 of about 633,090 (317)

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

FEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe, Tanmay Kumar Mohanty, Rashna Bhandari, Dorothea Fiedler   +3 more
wiley   +1 more source

Kernel-Based Relevance Analysis with Enhanced Interpretability for Detection of Brain Activity Patterns

Frontiers in Neuroscience, 2017
We introduce Enhanced Kernel-based Relevance Analysis (EKRA) that aims to support the automatic identification of brain activity patterns using electroencephalographic recordings.
Andres M. Alvarez-Meza, Alvaro Orozco-Gutierrez, German Castellanos-Dominguez   +2 more
doaj   +1 more source

Interactive object recognition assistance

, 2022
S.169-179Recognition of target objects in remotely sensed imagery requires detailed knowledge about the target object domain as well as about mapping properties of the sensing systems.
Littfass, M., Geisler, J.
core  

Structural instability impairs function of the UDP‐xylose synthase 1 Ile181Asn variant associated with short‐stature genetic syndrome in humans

FEBS Letters, EarlyView.
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li, Pedro A. Sánchez‐Murcia, Bernd Nidetzky   +2 more
wiley   +1 more source

EEG-Based Music Emotion Prediction Using Supervised Feature Extraction for MIDI Generation

Sensors
Advancements in music emotion prediction are driving AI-driven algorithmic composition, enabling the generation of complex melodies. However, bridging neural and auditory domains remains challenging due to the semantic gap between brain-derived low-level
Oscar Gomez-Morales, Hernan Perez-Nastar, Andrés Marino Álvarez-Meza, Héctor Torres-Cardona, Germán Castellanos-Dominguez   +4 more
doaj   +1 more source

A statistical multiresolution approach for face recognition using structural hidden Markov models [PDF]

, 2007
This paper introduces a novel methodology that combines the multiresolution feature of the discrete wavelet transform (DWT) with the local interactions of the facial structures expressed through the structural hidden Markov model (SHMM).
A. Amira, P Nicholl, D. Bouchaffra, Perrott, R H, P. Nicholl, R H Perrott, Perrott, RH, D Bouchaffra, Nicholl, P, Amira, A, Bouchaffra, D, A Amira, R. H. Perrott   +12 more
core   +1 more source

The (Glg)ABCs of cyanobacteria: modelling of glycogen synthesis and functional divergence of glycogen synthases in Synechocystis sp. PCC 6803

FEBS Letters, EarlyView.
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee, Dimitrios Bekiari, Sofia Doello, Karl Forchhammer   +3 more
wiley   +1 more source

Uncertainty-Aware Deep Learning for Robust and Interpretable MI EEG Using Channel Dropout and LayerCAM Integration

Applied Sciences
Motor Imagery (MI) classification plays a crucial role in enhancing the performance of brain–computer interface (BCI) systems, thereby enabling advanced neurorehabilitation and the development of intuitive brain-controlled technologies.
Óscar Wladimir Gómez-Morales, Sofia Escalante-Escobar, Diego Fabian Collazos-Huertas, Andrés Marino Álvarez-Meza, German Castellanos-Dominguez   +4 more
doaj   +1 more source

Automatic Ship Classification from Optical Aerial Images with Convolutional Neural Networks

Remote Sensing, 2018
The automatic classification of ships from aerial images is a considerable challenge. Previous works have usually applied image processing and computer vision techniques to extract meaningful features from visible spectrum images in order to use them as ...
Antonio-Javier Gallego, Antonio Pertusa, Pablo Gil   +2 more
doaj   +1 more source

Protein Targeting to the Bacterial Cytoplasmic Membrane [PDF]

, 1999
Proteins that perform their activity within the cytoplasmic membrane or outside this cell boundary must be targeted to the translocation site prior to their insertion and/or translocation.
Fekkes, Peter, Fekkes, Peter,, Driessen, Arnold J.M.,, Driessen, Arnold J.M.   +3 more
core