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Practical arterial atlas of the pig for neurointerventional simulation
No full textInternational audienceThis article presents a practical anatomical atlas of the arterial neuroanatomy of the swine, intended for training and research in neurointerventional surgery. The swine is a well-established large-animal model due to its anatomical similarities with humans. The atlas begins with a concise overview of the femoroiliac arterial tree and the aorta, followed by a focused description of the common carotid and subclavian arteries, and finally the cephalic arteries—both intracranial and extracranial. Average lengths and diameters of the cephalic arterial segments in pigs (30–80 kg) were retrospectively determined from 3D rotational angiographies acquired in five animals previously used in experimental studies. Anatomical descriptions are supported by schematic diagrams and volume rendering reconstructions. This reference tool is designed to standardize anatomical understanding, enhance the effective use of the pig model, and minimize animal distress in experimental procedures. It serves as a valuable resource for practitioners in neurointerventional surgery
Factors associated with early neurological deterioration in minor distal medium vessel acute ischemic stroke: A multinational multicenter study
No full textInternational audienceBackground: Patients with acute ischemic stroke secondary to distal and medium vessel occlusion (AIS-DMVO) and minor strokes present a challenge in determining the most appropriate emergent treatment. Factors leading to early neurological deterioration (END) in this patient population are understudied, but END is known to result in poor functional outcomes. Therefore, we aimed to investigate the factors contributing to END in minor AIS-DMVO cases. Methods: We included patients with AIS-DMVO and minor strokes from 37 sites across North America, Asia, and Europe. Minor stroke was defined as a baseline National Institutes of Health Stroke Scale (NIHSS) score of ⩽5. The primary outcome measure, END, was defined as a shift of ⩾4 points in the NIHSS score at day one after treatment compared to baseline. Univariable and multivariable logistic regression analyses were performed to identify factors associated with END. Results: Among 559 consecutive patients with DMVO and minor strokes, END was reported in 68 patients. In multivariable analysis, mechanical thrombectomy (MT) was independently associated with higher odds of END (adjusted odds ratio [aOR] 2.37, 95% CI 1.12–5.02, p = 0.02), while intravenous thrombolysis (IVT) was associated with lower odds of END (aOR 0.46, 95% CI 0.26–0.81, p = 0.008). However, the association between MT and END was no longer statistically significant in the IPTW-adjusted analysis (OR 1.65, 95% CI 0.69–3.98, p = 0.26). Hypertension and antiplatelet use at baseline were also independently associated with END. Among MT-treated patients, successful and excellent recanalization and first-pass effect were protective against END. Conclusion: MT was associated with END in patients with minor AIS-DMVO, although this association was not significant after IPTW adjustment. IVT was independently associated with reduced risk of END. These findings support careful patient selection and further study in randomized trials
How does light impact on non-uniform surfaces?
No full textInternational audienceAbstract To acquire images, light is necessary. In this paper, we focus on the impact of this light on the non-uniform surfaces. We present two scenes with different light settings (reference light like D65 or illuminant A and some specifically poorly designed LED lights). After comparing the light quality, we look at the impact of these lights on the rendering of the scene. Poorly designed lights are able to clearly illustrate how light impacts on the rendering complexity of images
Composantes génétiques de l'hypertension artérielle et des cardiopathies tropicales
No full textInternational audienc
Procédé de segmentation d’image(s) et de localisation d’éléments caractéristiques prédéterminés d’un environnement d’atterrissage d’un aéronef
No full textNuméro de publication WO/2025/045882 / Date de publication 06.03.2025 / N° de la demande internationale PCT/EP2024/073933 / Date du dépôt international 27.08.2024 / Données relatives à la priorité : FR2309055- 29.08.2023 - FR / Déposants : THALESThe invention relates to a method (40) for segmenting one or more images and for locating characteristic elements of a landing environment within one or more radar images, comprising: - a supervised learning phase (48) of a deep learning tool, which comprises: - obtaining (50) a set of labelled training data, and - training (52) the tool using said set, the tool combining at least one attention mechanism and a convolutional neural network; - an inference phase (58), applying the trained tool to a current radar image, which comprises: - segmenting (60) the current radar image by determining whether or not a pixel belongs to one of the characteristic elements corresponding to a class of the segmentation, and - locating (62) at least one of the characteristic elements in the reference frame of the radar using the result of the segmentation.L'invention concerne un procédé (40) de segmentation d'image(s) et de localisation d'éléments caractéristiques d'un environnement d'atterrissage au sein d'image(s) radar comprenant : - une phase (48) d'apprentissage supervisé d'un outil d'apprentissage profond comprenant : - l'obtention (50) d'un jeu de données d'apprentissage labélisées; - l'entrainement (52) dudit outil sur ledit jeu, ledit outil combinant au moins un mécanisme d'attention et un réseau de neurones convolutifs, - une phase (58) d'inférence, appliquant ledit outil entrainé à une image radar courante, comprenant : - la segmentation (60) de ladite image radar courante par détermination de l'appartenance ou non d'un pixel à un des éléments caractéristiques correspondant à une classe de ladite segmentation; - la localisation (62) d'au moins un des éléments caractéristiques dans le repère dudit radar en utilisant le résultat de ladite segmentation
Suivi télémétrique des alcidés nicheurs du Cap Frehel (Côtes d'Armor)
No full textInternational audienc
Antenna Radiation Pattern Measurement in an Entirely Stirred VIRC Working as a (Quasi)-Chaotic Reverberation Chamber
No full textInternational audienc
Next Generation of Porphysomes for Improved Photodynamic Therapy Applications
No full textInternational audiencePorphysomes are a class of liposome-like nanoparticles that have demonstrated efficacy in photothermal therapy (PTT) and photodynamic therapy (PDT) against cancer. These nanoparticles results from the selfassembly of amphiphilic phospholipid-porphyrin (PL-Por) conjugates. Despite their potential, porphysomes exhibit a high photothermal effect and a weak photodynamic activity as long as they remain intact within the body. In this study, we present the design of a novel generation of smart porphysomes capable of undergoing active dissociation and releasing porphyrin moieties upon illumination, thereby enabling tunable photothermal properties with enhanced photodynamic efficiency. These new porphysomes are composed of smart PL-Por conjugates that exhibit one or two ROS-responsive linkers separating the polar head group from the porphyrin moiety. Among the designed molecules, we demonstrated that monosubstituted conjugates bearing either Pyro-a or Pheo-a porphyrinoids with one ROS-responsive bond and shorter linker showed the best performance in terms of stability, photothermal and photodynamic efficiencies in vitro. Moreover, these assemblies were found to achieve complete tumor ablation in 80% of PC3 prostate subcutaneous tumor-bearing mice after 30 days post-PDT, compared to 0% using conventional porphysomes. Consequently, our strategy enabled the development of a versatile platform for delivering porphyrin-based photosensitizers for enhanced photodynamic applications
MIRANDA: short signatures from a leakage-free full-domain-hash scheme
No full textWe present , the first family of full-domain-hash signatures based on matrix codes. This signature scheme fulfils the paradigm of Gentry, Peikert and Vaikuntanathan (), which gives strong security guarantees. Our trapdoor is very simple and generic: if we propose it with matrix codes, it can actually be instantiated in many other ways since it only involves a subcode of a decodable code (or lattice) in a unique decoding regime of parameters. Though signing algorithm relies on a decoding task where there is exactly one solution, there are many possible signatures given a message to sign and we ensure that signatures are not leaking information on their underlying trapdoor by means of a very simple procedure involving the drawing of a small number of uniform bits. In particular does not use a rejection sampling procedure which makes its implementation a very simple task contrary to other -like signatures schemes such as or even . We instantiate with the famous family of Gabidulin codes represented as spaces of matrices and we study thoroughly its security (in the EUF-CMA security model). For~ bits of classical security, the signature sizes are as low as~ bytes and the public key sizes are in the order of~ megabytes
