Université de Bretagne Occidentale

Optimizing Portal Venous Phase Acquisition Quality of Contrast-Enhanced CT in Oncology

Background: Portal venous phase (PVP) contrast-enhanced CT is a cornerstone for response assessment in early-phase oncology trials, yet contrast-enhancement phase timing remains insufficiently monitored across sites. We assessed PVP timing using a validated artificial intelligenc...

Artificial Intelligence for Engineering-Grade Parametric CAD: A Critical Review of Representations, Large Language Models, and Agentic Design Systems

Artificial intelligence (AI) is rapidly expanding computer-aided design (CAD) from shape generation toward generative, conversational, and agentic engineering. However, most AI–CAD evaluations remain dominated by geometric similarity and execution success, while industrial CAD de...

Violence and vulnerability among women attending a hospital forensic medical unit in France: a cross-sectional study using hierarchical cluster analysis

Violence against women remains a global public health priority. Forensic Medical Units (FMUs) offer a critical setting to examine vulnerability profiles among victims, yet few studies have characterised the interplay between violence types, perpetrator relationships, and associat...

Protocol for integrative transcriptomic/metabolomic analysis: A case study on factors influencing the oyster-POMS disease

Deciphering the molecular mechanisms underlying complex biological interactions requires comprehensive approaches that capture these interactions across multiple regulatory and functional levels. Here, we present a protocol applied to the host-pathogen-environment interactions un...

Tools for providing information to patients about high-tech medical resources for treatment of cancer

BACKGROUND AND PURPOSE: High-tech medical resources play an increasingly important role in cancer diagnosis and treatment. However, accessing information about these technologies remains challenging due to their complexity and a lack of clear information pathways to obtain reliab...

Adolescent elite swimmers’ self-esteem and emotional states: Benefits of organized leisure-time activities

This study examined whether an Organized Leisure-Time Activities program (OLT3A) strengthens self-esteem and emotional states in elite adolescent swimmers. Twenty-five national-level swimmers (Mage = 14.44 ± 1.23 y) were randomized to a six-week OLT3A intervention or a waiting-li...

ALE-based finite element modeling of needle-punching using embedded 1D yarns in a 3D preform

Needle-punching is widely used to introduce through-thickness reinforcement into fibrous preforms for composite materials. During the process, barbed needles repeatedly penetrate stacked layers and transfer fibers from the in-plane directions toward the thickness direction, progr...

Amphipods associate with epibiotic filamentous bacteria at a shallow-water hydrothermal vent

In the deep ocean, hydrothermal vents sustain remarkable animal-microbial symbioses, in which bacteria colonizing animal external or internal tissues use reduced chemicals from venting fluids to perform chemosynthesis and nourish their host. Hydrothermal vents also occasionally o...

Learning-Based Methods and the Future of Numerical Ocean and Sea-Ice Modeling

The field of operational oceanography is undergoing a significant evolution with the increasing integration of artificial intelligence (AI) methods, which are complementing and, in some cases, redefining traditional numerical modeling approaches. This review explores how AI metho...

Neurofeedback-induced network plasticity in motor and default mode networks correlates with motor recovery after stroke

Abstract Stroke often results in long-term motor impairments, necessitating innovative rehabilitation strategies. Neurofeedback (NF) has emerged as a promising tool to promote functional recovery after stroke by enabling patients to modulate targeted brain activity. In this study...

A new approach to measuring liquid metal density at high pressure and high temperature using aerodynamic levitation

Accurate knowledge of liquid metal density and its temperature dependence is essential for understanding phase transformations, thermophysical behavior, and the safe design of high-temperature engineering systems. While numerous techniques have been developed to measure the densi...

A Feature Model-Based Reference Architecture for Data Lake Ingestion: A Variability Management Approach

The growth of big data ecosystems has shifted the classical paradigm of selective storage toward an approach that preserves large volumes of heterogeneous data for subsequent exploitation, thereby strengthening the adoption of repositories such as data warehouses and, particularl...

Shipping noise may trigger valve closure responses in exploited scallop beds of the Gulf of St. Lawrence

Shipping noise is a pervasive form of underwater noise pollution, yet its effects on benthic invertebrates remain poorly integrated into spatial risk assessments. The Atlantic sea scallop (Placopecten magellanicus), a benthic bivalve supporting the world's largest wild pectinid f...

Multiomics reprogramming reverses disease susceptibility in Magallana gigas during aging

Aging is a progressive and irreversible biological process that typically increases susceptibility to infectious diseases. However, unexpectedly, the opposite outcome was observed in oysters: older oysters exhibit increased tolerance to Pacific oyster mortality syndrome (POMS), a...

Grid4Earth: An Open-Source Python Ecosystem for Geospatial Data Integration Using an Ellipsoidal HEALPix DGGS

Abstract. The rapid growth in Earth observation (EO) and Digital Twin Earth data volumes creates a need for global, reproducible, and cloudnative spatial representations. Conventional latitude–longitude grids and projected tiling systems remain useful, but they introduce projecti...

Deep learning to monitor the deep sea: a category‐oriented automated framework for quantifying animal behavior at hydrothermal vents

Abstract Increasing evidences show that fauna living in deep‐sea ecosystems exhibit various complex behaviors that remain understudied. Although several in situ observatories have been set up around the globe, the use of their imagery data to gain insights into animal behavior ac...

Policy Consequentiality in Tourism Discrete Choice Experiments

Stated preference methods are widely applied in tourism research, yet their validity depends on respondents perceiving surveys as policy consequential. This paper examines how such perceptions shape willingness-to-pay (WTP) estimates for redesigned tourism supply. Using a discret...

Thermohaline gradients and frontal regimes in the northwestern Tropical Atlantic

Abstract. At the edge of the Amazon River plume, stirring by the North Brazil Current (NBC) and its eddies creates sharp surface thermohaline gradients on scales of O(1–100) km. This study provides a comprehensive picture of these gradients and fronts associated with the region's...

Hydroelastic slamming of tubular structures: Experimental and theoretical studies

Hydroelastic slamming loads are of primary importance for the design of marine and offshore structures involving slender flexible structures. In this study, a combined experimental and theoretical investigation of the water impact of tubular structures is carried out. First, a de...

Association between Pulmonary Vascular Obstruction Phenotype and Pulmonary Embolism Recurrence: Results from the PADIS-PE Study

Pulmonary vascular obstruction index (PVOI), assessed using the Qanadli index on computed tomography pulmonary angiography (CTPA) at pulmonary embolism (PE) diagnostic, has been associated with recurrence after unprovoked PE, but its complexity limits routine use. We aimed to eva...