Scientific Publications of the University of Toulouse II Le Mirail
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CD163 detection in immune check-point inhibitors-related acute interstitial nephritis
No full textInternational audienceABSTRACT Background Acute interstitial nephritis (AIN) is the most common renal immune-related adverse event after immune check-point inhibitors (ICI). We hypothesized that alternatively activated macrophages (CD163-M) could be involved in ICI-AIN and wished to evaluate the use of their soluble urinary form (us)CD163 as a non-invasive diagnostic marker. Methods CD163-M infiltrates were evaluated by both immune-histochemistry and multiplex immunofluorescence and imaging. usCD163 was detected with ELLA technology and evaluated together with urinary creatinine to be expressed as a ratio to creatinuria in ng/mmol. Clinical data were collected to perform correlations with renal function assessed by estimated glomerular filtration rate (eGFR). Results A retrospective cohort of 63 ICI-exposed patients with tubular acute kidney injury profile requiring a biopsy were selected. AIN patients (n = 44) were compared to acute tubular necrosis (ATN) patients (n = 19). CD163-M staining was detectable in all ICI-AIN patients, which was significantly higher than in ATN patients (18.4% vs 3.6% of area, P = .005). CD163-M staining was restricted to the interstitial compartment. CD163-M infiltrate inversely correlated with initial eGFR (r = −0.6, P = .003), and was positively correlated with delta eGFR, reflecting a renal improvement outcome (r = 0.48; P = .02). usCD163 was well detected in urines of patients, but did not allow us to distinguish ATN from AIN patients at diagnosis. No correlation was observed, neither between usCD163 and CD163-M staining nor with renal response after 3 months of glucocorticoid tapering. Conclusion CD163-M are detected in ICI-AIN and correlate both with severity at diagnosis and better prognosis at 3 months. CD163-M may help us to distinguish AIN from ATN but, it does not allow us to assess ICI imputability. Although detected in urine, usCD163 is clearly not a surrogate biomarker for AIN diagnosis
Mes meilleurs ennemis ? La coopétition dans le processus de territorialisation des filières. Le cas des microbrasseries gersoises.
No full textInternational audienceMes meilleurs ennemis ? La coopétition dans le processus de territorialisation des filières. Le cas des microbrasseries gersoises
Le Ring à Strasbourg (1930): chronologie des 8 représentations et dossier de presse, dezede.org, https://dezede.org/dossiers/id/902/
No full texthttps://dezede.org/dossiers/id/902
Shell ornaments from the Late Neolithic to the Early Bronze Age in France : Documentary review. In Alarashi Hala, Bonnardin Sandrine, Fleurot K., Grannier-Parra Marianne, Mougne Caroline et Theodoropoulou TatianaParures de la mer, vogue d’Orient en Occident du Chalcolithique à l’âge du Bronze
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La participation des enfants aux prises de décisions en Protection de l’enfance
No full textInternational audienceThis article examines children’s experiences of citizenship through the prism of their participation in decision-making, using a psycho-social and developmental approach in the context of child protection and psychological research. Participation is approached from a threefold theoretical, ethical and methodological perspective, based on developmental psychology research conducted with foster children aged between 6 and 12 and the professionals in charge of their placement. The first aim of this article is to examine theoretical models of participation in order to propose a psycho-social and developmental conception of participation. The second aim of this article is to present the issues raised by children’s participation in decision-making for child welfare professionals. Finally, the third aim of this article is to discuss the ethical and methodological challenges facing researchers in the context of qualitative psychological research aimed at encouraging children’s participation throughout the data collection process. In conclusion, we suggest some perspectives about the ways of taking children’s perspectives into account and involving them in decision-making processes in field practice and in research.Cet article interroge les expériences citoyennes des enfants sous le prisme de leur participation aux prises de décisions selon une approche psycho-sociale et développementale, dans le contexte de la Protection de l’Enfance et de la recherche en psychologie. La participation est abordée selon un triple versant théorique, éthique et méthodologique, à partir d’une recherche encours en psychologie du développement, conduite auprès d’enfants placés en famille d’accueil et âgés de 6 à 12 ans, ainsi que des professionnels en charge de leur placement. Le premier objectif de cet article est d’examiner les modèles théoriques de la participation afin d’en proposer une conception psycho-sociale et développementale. Le second objectif vise à présenter les enjeux posés par la participation des enfants, dans les prises de décisions, aux professionnels de la Protection de l’Enfance. Enfin, le troisième objectif consiste à aborder les défis éthiques et méthodologiques qui se posent aux chercheurs, dans le cadre d’une recherche qualitative en psychologie visant à favoriser la participation des enfants tout au long du processus de recueil des données. En conclusion, sont proposées des pistes de réflexions sur les différentes manières de prendre en compte la perspective des enfants et de les impliquer dans les processus décisionnels dans les pratiques de terrain et dans la recherche
Liste typologique pour les industries de pierre taillée de la Préhistoire récente européenne
No full textQCNN-ID: A Quantum-Classical Hybrid Model for IoT Intrusion Detection
No full textInternational audienceSecurity threats in Internet of Things (IoT) networks, especially in smart cities, are currently increasing due to the fast spread of IoT devices, which highlights the need for reliable intrusion detection systems. Classical machine learning models, such as convolutional neural networks (CNNs), were effectively utilized for detecting intrusions. However, they encountered scalability challenges. In this paper, a hybrid quantum CNN-based intrusion detection system is proposed for securing IoT in smart cities (IoTSMC) networks. The introduced model integrates the computational capacity of quantum computing into the CNN architecture to optimize the feature extraction and classification process, for a better detection accuracy. Compared with standard CNN models using reliable IoT attack datasets, Quantum Convolutional Neural Network (QCNN) gives better efficiency in terms of accuracy, precision, recall, and computational efficiency. These findings indicate the potential of using QCNN in detecting IoT cybersecurity threats
Static vs. Dynamic Characterization of p-GaN HEMTs: Discrepancies in Electrical Characteristics and their Dependence on Bias History
No full textThis paper was presented at the EPE 2025 conference and was subsequently selected for publication in the special issue of Elsevier's PEDC journal. Therefore, only the abstract appears on the conference website.International audienceQuasi-static electrical characteristics of p-GaN HEMTs fluctuate with bias history. This study evidences that dynamic operation is fortunately highly reproducible without pre-conditioning. The original experimental setup highlights that quasi-static data alone is insufficient for modeling dynamic behavior, while allowing precise detection of discrepancies, enabling improved transient modeling