Results 11 to 20 of about 51,876 (192)

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

open access: yesFEBS 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   +4 more
wiley   +1 more source

Radio Co-location Aware Channel Assignments for Interference Mitigation in Wireless Mesh Networks

open access: yes, 2015
Designing high performance channel assignment schemes to harness the potential of multi-radio multi-channel deployments in wireless mesh networks (WMNs) is an active research domain.
Kala, Srikant Manas   +3 more
core   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

Representing Space: A Hybrid Genetic Algorithm for Aesthetic Graph Layout [PDF]

open access: yes, 1998
This paper describes a hybrid Genetic Algorithm (GA) that is used to improve the layout of a graph according to a number of aesthetic criteria.
Hobbs, M.H.W., Rodgers, Peter
core   +1 more source

A semidefinite program for unbalanced multisection in the stochastic block model

open access: yes, 2016
We propose a semidefinite programming (SDP) algorithm for community detection in the stochastic block model, a popular model for networks with latent community structure.
Perry, Amelia, Wein, Alexander S.
core   +1 more source

An All‐Optical Driven Bio‐Photovoltaic Interface for Active Control of Live Cells

open access: yesAdvanced Functional Materials, EarlyView.
Bio‐photovoltaic Interface (BIO‐PV‐I) for live cell manipulation is presented. BIO‐PV‐I can be activated non‐invasively and remotely to control the spatial motility, adhesion, and morphology of cells adhering to it. BIO‐PV‐I uses a patterned light‐induced electric potential in iron‐doped lithium niobate crystals whose light‐driven and reversible nature,
Lisa Miccio   +8 more
wiley   +1 more source

Predicting Atomic Charges in MOFs by Topological Charge Equilibration

open access: yesAdvanced Functional Materials, EarlyView.
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi   +2 more
wiley   +1 more source

Streaming Graph Challenge: Stochastic Block Partition

open access: yes, 2017
An important objective for analyzing real-world graphs is to achieve scalable performance on large, streaming graphs. A challenging and relevant example is the graph partition problem.
Gadepally, Vijay   +11 more
core   +1 more source

Selective Separation of the Rare Earth Elements Dysprosium and Neodymium via Tailoring Nanocellulose Chemical Structure

open access: yesAdvanced Functional Materials, EarlyView.
Dicarboxylate‐modified anionic hairy cellulose nanocrystals exhibit a high selectivity for dysprosium(III) over neodymium(III). This selectivity arises from disordered dicarboxylate cellulose “hairs” that enable cooperative ionic coordination, hydrogen bonding, and strain‐induced conformational shrinkage.
Roya Koshani   +6 more
wiley   +1 more source

Generating Representative ISP Technologies From First-Principles [PDF]

open access: yes, 2007
Understanding and modeling the factors that underlie the growth and evolution of network topologies are basic questions that impact capacity planning, forecasting, and protocol research.
Byers, John W., Wang, Chong
core   +1 more source

Home - About - Disclaimer - Privacy