Results 61 to 70 of about 12,738,743 (318)

Salmonella lipopolysaccharide‐containing supported lipid bilayers as platforms to study bacteriophage interactions

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, Alyssa Borges, Charles Arnaud, Tove Karlsson, Nina K. Bröker, Stefanie Barbirz, Marta Bally   +6 more
wiley   +1 more source

Forecasting suspended sediment load using regularized neural network: Case study of the Isser River (Algeria)

Journal of Water and Land Development, 2016
In the management of water resources in different hydro-systems it is important to evaluate and predict the sediment load in rivers. It is difficult to obtain an effective and fast estimation of sediment load by artificial neural network without avoiding
Tachi Salah E., Ouerdachi Lahbassi, Remaoun Mohamed, Derdous Oussama, Boutaghane Hamouda   +4 more
doaj   +1 more source

Early Stopping Criteria for Training Generative Adversarial Networks in Biomedical Imaging [PDF]

Irish Signals and Systems Conference
Generative Adversarial Networks (GANs) have high computational costs to train their complex architectures. Throughout the training process, GANs' output is analyzed qualitatively based on the loss and synthetic images' diversity and quality.
M. Saad, M. Rehmani, Ruairi O’Reilly
semanticscholar   +1 more source

Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential

FEBS Letters, EarlyView.
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta, Hari Baskar Balasubramanian, Amir Pasokh, Marietta Zille   +3 more
wiley   +1 more source

A Bayesian dynamic stopping method for evoked response brain-computer interfacing

Frontiers in Human Neuroscience
IntroductionAs brain-computer interfacing (BCI) systems transition fromassistive technology to more diverse applications, their speed, reliability, and user experience become increasingly important.
Sara Ahmadi, Peter Desain, Peter Desain, Jordy Thielen   +3 more
doaj   +1 more source

An Agreement Under Early Stopping and Fault Diagnosis Protocol in a Cloud Computing Environment

IEEE Access, 2018
With its explosive development, the Internet has come to offer an increasing multitude of online service applications. In order to better facilitate such services, a cloud computing environment, composed of a large number of processors and memories, high-
Mao-Lun Chiang, Chin-Ling Chen, Hui-Ching Hsieh   +2 more
doaj   +1 more source

Temporally-precise disruption of prefrontal cortex informed by the timing of beta bursts impairs human action-stopping

NeuroImage, 2020
Human action-stopping is thought to rely on a prefronto-basal ganglia-thalamocortical network, with right inferior frontal cortex (rIFC) posited to play a critical role in the early stage of implementation. Here we sought causal evidence for this idea in
Ricci Hannah, Vignesh Muralidharan, Kelsey K. Sundby, Adam R. Aron   +3 more
doaj   +1 more source

Peripheral lysosomes recruit PLEKHG3 to focal adhesions and restrain protrusion dynamics

FEBS Letters, EarlyView.
Proximity‐dependent labeling at the LAMTOR complex revealed the Rho GEF PLEKHG3 as a lysosome‐proximal protein directing the study toward the influence of lysosome positioning on actin dynamics and cell motility. We show that PLEKHG3 colocalizes with lysosomes at focal adhesion sites and observe that forced peripheral dispersion of lysosomes hinders ...
Rainer Ettelt, Ana‐Maria Sandru, Georg Vucak, Sebastian Didusch, Biljana Riemelmoser, Karin Ehrenreiter, Markus Hartl, Lukas A. Huber, Manuela Baccarini   +8 more
wiley   +1 more source

EPRNG: Effective Pseudo-Random Number Generator on the Internet of Vehicles Using Deep Convolution Generative Adversarial Network

Information
With the increasing connectivity and automation on the Internet of Vehicles, safety, security, and privacy have become stringent challenges. In the last decade, several cryptography-based protocols have been proposed as intuitive solutions to protect ...
Chenyang Fei, Xiaomei Zhang, Dayu Wang, Haomin Hu, Rong Huang, Zejie Wang   +5 more
doaj   +1 more source

Transformative Breast Cancer Diagnosis using CNNs with Optimized ReduceLROnPlateau and Early Stopping Enhancements

International Journal of Computational Intelligence Systems
Breast cancer stands as a paramount public health concern worldwide, underscoring an imperative necessity within the research sphere for precision-driven and efficacious methodologies facilitating accurate detection. The existing diagnostic approaches in
Mahesh T. R., Arastu Thakur, Muskan Gupta, Deepak K. Sinha, Kritika Kumari Mishra, Vinoth Kumar Venkatesan, Suresh Guluwadi   +6 more
semanticscholar   +1 more source