Results 81 to 90 of about 10,574,194 (321)

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

Blind nonnegative source separation using biological neural networks

, 2017
Blind source separation, i.e. extraction of independent sources from a mixture, is an important problem for both artificial and natural signal processing.
Chklovskii, Dmitri B., Mohan, Sreyas, Pehlevan, Cengiz   +2 more
core   +1 more source

Mmdenselstm: An Efficient Combination of Convolutional and Recurrent Neural Networks for Audio Source Separation [PDF]

International Workshop on Acoustic Signal Enhancement, 2018
Deep neural networks have become an indispensable technique for audio source separation (SS). It was recently reported that a variant of CNN architecture called MM-DenseNet was successfully employed to solve the SS problem of estimating source amplitudes,
Naoya Takahashi, Nabarun Goswami, Yuki Mitsufuji   +2 more
semanticscholar   +1 more source

Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?

FEBS Letters, EarlyView.
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes, Guilherme M. Azevedo, Amanda P. Barcellos, Diana Bahia   +3 more
wiley   +1 more source

A Robust Bilinear Framework for Real-Time Speech Separation and Dereverberation in Wearable Augmented Reality

Sensors
This paper presents a bilinear framework for real-time speech source separation and dereverberation tailored to wearable augmented reality devices operating in dynamic acoustic environments.
Alon Nemirovsky, Gal Itzhak, Israel Cohen   +2 more
doaj   +1 more source

Source Separation with One Ear: Proposition for an Anthropomorphic Approach

EURASIP Journal on Advances in Signal Processing, 2005
We present an example of an anthropomorphic approach, in which auditory-based cues are combined with temporal correlation to implement a source separation system.
Ramin Pichevar, Jean Rouat
doaj   +1 more source

Life Cycle Assessment of Existing and Alternative Options for Municipal Solid Waste Management in Saint Petersburg and the Leningrad Region, Russia

Recycling, 2022
A waste reform was recently introduced in Russia to divert waste from landfills. To help advance the reform, this paper presents a life cycle assessment of the municipal solid waste management system in Russia’s second largest city—Saint Petersburg—and ...
Anna Zaikova, Natalia Vinitskaia, Ivan Deviatkin, Jouni Havukainen, Mika Horttanainen   +4 more
doaj   +1 more source

Crosstalk between the ribosome quality control‐associated E3 ubiquitin ligases LTN1 and RNF10

FEBS Letters, EarlyView.
Loss of the E3 ligase LTN1, the ubiquitin‐like modifier UFM1, or the deubiquitinating enzyme UFSP2 disrupts endoplasmic reticulum–ribosome quality control (ER‐RQC), a pathway that removes stalled ribosomes and faulty proteins. This disruption may trigger a compensatory response to ER‐RQC defects, including increased expression of the E3 ligase RNF10 ...
Yuxi Huang, Satoshi Hashimoto, Sota Ito, Chisato Kikuguchi, Miho Hoshi, Kiyoshi Yamaguchi, Yoichi Furukawa, Toru Suzuki, Toshifumi Inada   +8 more
wiley   +1 more source

Speech Separation Using Advanced Deep Neural Network Methods: A Recent Survey

Big Data and Cognitive Computing
Speech separation, as an important research direction in audio signal processing, has been widely studied by the academic community since its emergence in the mid-1990s.
Zeng Wang, Zhongqiang Luo
doaj   +1 more source

Blind source separation of tensor-valued time series

, 2017
The blind source separation model for multivariate time series generally assumes that the observed series is a linear transformation of an unobserved series with temporally uncorrelated or independent components.
Nordhausen, Klaus, Virta, Joni
core   +2 more sources