1,657 research outputs found
Emergency endovascular treatment of complicated type B acute aortic dissections: proximal repair without distal covering.
No full textBackground: Endovascular treatment is now the first choice for complicated type B dissections requiring surgery,
but some authors claim that merely sealing the entry tear with Thoracic Endovascular Aortic Repair is not enough,
advocating use of distal aortic stenting and ballooning. Objectives: This study aims to analyze 12 consecutive
complicated type B acute aortic dissections to prove the safety and effectiveness of staged endovascular repair
without distal ballooning or stenting. Methods: From January 2016 to September 2018, 15 cases of complicated
type B dissections in need of emergency treatment (in less than 24 hours) were referred to our Unit. Endovascular
repair was performed to cover the entry tear and the proximal tract of the false lumen, leaving its distal segment
untouched. All patients were followed up with serial computed tomography angiography to assess the evolution of
the false lumen. Results: Technical success was achieved in all cases. No peri-operative or post-operative deaths from
any cause were reported over a mean follow-up of 28 months (range 12-45). False lumen thrombosis and regression
> 5mm were observed in 11 cases. One patient underwent endovascular reintervention after 10 months because of
expansion of the false lumen. No procedure-related complication was recorded. Conclusions: Staged endovascular
repair is, in most cases, a feasible and safe technique for treatment of acute aortic dissections in emergency settings,
with low morbidity/mortality rates and low risk of reintervention. Randomized clinical trials will be needed to establish
an outcome-based comparison with new techniques such as PETTICOAT and STABILISE
VCC-LF dataset
No full textThis is readme for VCC-LF dataset.
This dataset provides light field mat files that capture by Lytro I.
The light field resolusion is [h,w,u,v,d].
If you use these data or our toolkit code, please cite our paper properly
@inproceedings{ lirsiggraphasia2019,
title={Hierarchical and View-invariant Light Field Segmentation by Maximizing Entropy Rate on 4D Ray Graphs},
author={Li, Rui and Heidrich, Wolfgang},
booktitle={ACM Transactions on Graphics (Proc. SIGGRAPH Asia)},
year={2019},
publisher={ACM}
LF-copying without LF
No full textAbstractA copying approach to ellipsis is presented, whereby the locus of copying is not a level of derived syntactic structure (LF), but rather the derivation itself. The ban on preposition stranding in sprouting follows without further stipulation, and other, seemingly structure sensitive, empirical generalizations about elliptical constructions, including the preposition stranding generalization, follow naturally as well. Destructive operations which ‘repair’ non-identical antecedents are recast in terms of exact identity of derivations with parameters. In the context of a compositional semantic interpretation scheme, the derivational copying approach to ellipsis presented here is revealed to be a particular instance of a proform theory, thus showing that the distinctions between, and arguments about, syntactic and semantic theories of ellipsis need to be revisited
Disamina preliminare di alcuni test nella diagnosi delle infestioni da protostrongilidi negli ovini.
No full textIn vitro activities of the new antifungal triazole SCH 56592 against common and emerging yeast pathogens
No full textRelativistic effects in model calculations of double parton distribution functions
No full textpeer reviewedIn this paper we consider double-parton distribution functions (dPDFs), which are the main nonperturbative ingredients appearing in the double-parton scattering cross section formula in hadronic collisions. By using recent calculation of dPDFs by means of constituent quark models within the so-called light-front approach, we investigate the role of relativistic effects on dPDFs. We find, in particular, that the so-called Melosh operators, which allow us to properly convert the LF spin into the canonical one and incorporate a proper treatment of boosts, produce sizeable effects on dPDFs. We discuss specific partonic correlations induced by these operators in the transverse plane which are relevant to the proton structure, and we study under which conditions these results are stable against variations in the choice of the proton wave function. © 2017 American Physical Society
Intraepidermal Injections of Autologous Epidermal Cell Suspension: A new promising approach to Dermatological Disorders. Preliminary Study
No full textRegenerative medicine is a modern approach of dermatological treatment, using Epidermal Cells of the interfollicular epidermis (ESCs) for their effect in skin regeneration in chronic ulcers and burns, melanoma, vitiligo, junctional epidermolysis bullosa. Intraepidermal injections of autologous epidermal cell suspension can be a new and very promising treatment for many other cutaneous disorders as non-scarring alopecia (Alopecia
Areata, Androgenic Alopecia) or scarring alopecia (Lichern Plano Pilaris alopecia, Discoid Lupus Erithematosus alopecia), anti-aging therapies. The intraepidermal injection of an autologous epidermal cell suspension is a simple, fast and safe surgical procedure: a small, thin portion of the epidermis of the patient undergoes a treatment where a suspension with all the cells collected from the epidermis and cultured for 7 days is injected
into the skin. Our preliminary study shows that a suspension contains a signifi cant number of viable cells that survive at day 7 in culture
Polynomial Approximation in Ep(D) with 0 < p < 1
No full textAbstractIn this paper, we construct approximants by means of interpolation polynomialsto prove Jackson′s theorem and the Bernstein inequality in Ep(D) with 0 < p < 1
Mean Convergence of Interpolation Polynomials in a Domain with Corners
No full textAbstractIn this paper, we prove mean convergence of interpolation polynomials in a domain with some corners
Machine learning and digital twins: monitoring and control for dynamic security in power systems
No full textThe reader of the chapter will be able to connect techniques from machine learning (ML) and digital twins (DTs) to gain insights for monitoring and control of (dynamic) security for electrical power systems. DTs are validated and verified high-fidelity (hf) models providing high simulation accuracy. DTs can be used for simulation of the supervised process of system operation and are therefore able to provide synthetic studied data, where measurement data are scarce. However, for some real-time applications in monitoring and control, such high-fidelity simulation models are not appropriate due to the corresponding computational barrier. There, ML aims to create an application-specific, low-fidelity (lf) approximation of the digital twin. Such trained lf models are used in real-time applications where computational time is scarce and lf information is sufficient. The conceptual intersection of hf and lf models has been little explored and becomes increasingly complex. This chapter aims to provide a conceptual overview of how such hf and lf models can be combined. This chapter is split into two parts where the first part is to introduce ML, lf models, and digital twins, hf models, for power systems analysis, and the second chapter is to use these two types of models to form purpose-driven surrogate lf models, illustrated on the example of dynamic security assessment (DSA). In the first part, the concepts for using DTs as hf models for online power system studies and their corresponding tuning of model parameters are introduced. Subsequently, ML i.e., lf models, are introduced and their corresponding training frameworks. Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Intelligent Electrical Power Grid
- …
