Results 21 to 30 of about 399,554 (269)

RESULTS OF THE CLINICAL TRIAL FOURIER. NEW OPPORTUNITIES FOR TREATMENT OF VERY HIGH CARDIOVASCULAR RISK PATIENTS

open access: yesРоссийский кардиологический журнал, 2017
Advisory Board of Russian Society of Cardiology (RSC), Russian National Atherosclerosis Society (RNAS), Russian Society of Cardiosomatic Rehabilitation and Secondary Prevention (RSCRSP)
Advisory Board
doaj   +1 more source

On Fourier transforms [PDF]

open access: yesTransactions of the American Mathematical Society, 1974
If f ( x ) f(x)
openaire   +1 more source

ZW4864‐mediated inhibition of the β‐catenin/BCL9/BCL9L complex reveals therapeutic potential in bladder cancer

open access: yesMolecular Oncology, EarlyView.
BCL9 and BCL9L drive bladder cancer progression by enhancing β‐catenin signaling, promoting proliferation, migration, invasion, and organoid growth. Genetic depletion of BCL9(L) suppresses malignant phenotypes, while pharmacological disruption of the β‐catenin/BCL9(L) complex with ZW4864 inhibits canonical Wnt signaling and tumor‐associated cellular ...
Roland Kotolloshi   +11 more
wiley   +1 more source

Noninvasive Optical Imaging of Ovarian Metastases Using Cy5-labeled RAFT-c(-RGDfK-)

open access: yesMolecular Imaging, 2006
Our group has developed a new molecular tool based on the use of a regioselectively addressable, functionalized template (RAFT) scaffold, where four cyclic (Arg-Gly-Asp) (cRGD) peptide motifs were grafted.
Zhao-hui Jin   +7 more
doaj   +1 more source

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

open access: yesFEBS 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   +3 more
wiley   +1 more source

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

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif   +17 more
wiley   +1 more source

ADN « environnemental » : un saut méthodologique pour les inventaires de la biodiversité [PDF]

open access: yesSciences, Eaux & Territoires, 2012
Utilisée en France pour réaliser l’inventaire de la grenouille taureau dans le cadre d’un programme d’éradication de cette espèce envahissante, la méhode de l'ADNe a montré des résultats encourageants pour détecter l’espèce dans des sites où elle est ...
MIAUD, Claude   +2 more
doaj  

A new dye uptake assay to test the activity of antibioticsagainst intracellular Francisella tularensis

open access: yesFrontiers in Cellular and Infection Microbiology, 2014
Francisella tularensis, a facultative intracellular bacterium, is the aetiological agent of tularaemia. Antibiotic treatment of this zoonosis is based on the administration of a fluoroquinolone or a tetracycline for cases with mild to moderate severity ...
Vivien eSutera   +7 more
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +2 more
wiley   +1 more source

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