Results 141 to 150 of about 825,885 (311)
Kohonen Network-Based Adaptation of Non Sequential Data for Use in Convolutional Neural Networks. [PDF]
Sensors (Basel), 2021 Bereta M.
europepmc +1 more source
FEBS Letters, EarlyView.The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson +6 more
wiley +1 more source
Advancing Sequential Manga Colorization for AR Through Data Synthesis
IEEE AccessManga colorization in augmented reality (AR) environments presents unique challenges, particularly when colorizing manga pages captured in photos under various real-world conditions.
Maksim Golyadkin +2 more
doaj +1 more source
Sequential Data Assimilation of the Stochastic SEIR Epidemic Model for Regional COVID-19 Dynamics. [PDF]
Bull Math Biol, 2020 Engbert R, Rabe MM, Kliegl R, Reich S.
europepmc +2 more sources
FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
FEBS Letters, EarlyView.Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
Deep Learning for Sequential Data
Deep Learning (DL) ist ein Teilgebiet des maschinellen Lernens (ML), das auf neuronalen Netzen basiert, die auf verschiedenen Abstraktionsebenen lernen und dabei traditionelle ML Methoden in einer Vielzahl von Aufgaben häufig übertreffen. Diese Dissertation untersucht verschiedene Geschäftsaufgaben mit sequenziellen Daten und analysiert die DL Eignung.
openaire +2 more sources
Phosphoinositides and inositol phosphates as molecular glues
FEBS Letters, EarlyView.Inositol phosphates (IPs) and phosphoinositides (PIPs) regulate diverse eukaryotic processes. Beyond recruiting signaling proteins or acting as structural cofactors, recent studies suggest they mediate protein–protein interactions as natural molecular glues.
Aleshia Seaton‐Terry +9 more
wiley +1 more source
Structural insights and therapeutic targets in Acinetobacter baumannii capsule biosynthesis
FEBS Letters, EarlyView.Hypervirulent KL49 A. baumannii's capsular polysaccharide contains the nonulosonic acid 8‐epi‐Leg5,7Ac2, synthesized by epimerization via ElaA, ElaB, and ElaC. Crystal structures of ElaA, ElaB, and ElaC reveal their role in CMP‐Leg5,7Ac2 synthesis and regioselective C8 epimerization.
Woo Cheol Lee +7 more
wiley +1 more source
Incremental Mining of Across-streams Sequential Patterns in Multiple Data Streams
, 2012 Sequential pattern mining is the mining of data sequences for frequent sequential patterns with time sequence, which has a wide application. Data streams are streams of data that arrive at high speed. Due to the limitation of memory capacity and the need
Yang, Shih-yang; Chao, Ching-ming; Chen, Po-zung; Sun, Chu-hao
core +1 more source