Results 141 to 150 of about 41,270 (263)

A Federated Learning Multi-Task Scheduling Mechanism Based on Trusted Computing Sandbox. [PDF]

Sensors (Basel), 2023
Liu H, Zhou H, Chen H, Yan Y, Huang J, Xiong A, Yang S, Chen J, Guo S.   +8 more
europepmc   +1 more source

Raman‐based label‐free microscopic analysis of the pancreas in living zebrafish larvae

FEBS Open Bio, EarlyView.
Forward stimulated Raman scattering (F‐SRS) and epi coherent anti‐Stokes Raman scattering (E‐CARS) allow label‐free discrimination of distinct subcellular structures in the pancreas of living zebrafish larvae. Given the straightforward applicability, we anticipate broad implementation of Raman microscopy in other organs and across various biomedical ...
Noura Faraj, Eline M. F. de Lange, Klaas A. Sjollema, Ben N. G. Giepmans   +3 more
wiley   +1 more source

NF-MORL: a neuro-fuzzy multi-objective reinforcement learning framework for task scheduling in fog computing environments. [PDF]

Sci Rep
Yu X, Tang L, Mi J, Long L, Qin X, Li X, Mo Q.   +6 more
europepmc   +1 more source

Polarization‐resolved femtosecond Vis/IR spectroscopy tailored for resolving weak signals in biological samples using minimal sample volume

FEBS Open Bio, EarlyView.
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley   +1 more source

Dynamic multi objective task scheduling in cloud computing using reinforcement learning for energy and cost optimization. [PDF]

Sci Rep
Yu X, Mi J, Tang L, Long L, Qin X.
europepmc   +1 more source

An Efficient Trust-Aware Task Scheduling Algorithm in Cloud Computing Using Firefly Optimization. [PDF]

Sensors (Basel), 2023
Mangalampalli S, Karri GR, Elngar AA.
europepmc   +1 more source

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

Improved multi-strategy secretary bird optimization for efficient IoT task scheduling in fog cloud computing. [PDF]

Sci Rep
Sangeetha K, Kanthimathi M.
europepmc   +1 more source

A Resilient and Effective Task Scheduling Approach for Industrial Human-Robot Collaboration. [PDF]

Sensors (Basel), 2022
Pupa A, Van Dijk W, Brekelmans C, Secchi C.   +3 more
europepmc   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source