Consistency checks of results from a Monte Carlo code intercomparison for emitted electron spectra and energy deposition around a single gold nanoparticle irradiated by X-rays

Organized by the European Radiation Dosimetry Group (EURADOS), a Monte Carlo code intercomparison exercise was conducted where participants simulated the emitted electron spectra and energy deposition around a single gold nanoparticle (GNP) irradiated by X-rays. In the exercise, the participants scored energy imparted in concentric spherical shells around a spherical volume filled with gold or water as well as the spectral distribution of electrons leaving the GNP. Initially, only the ratio of energy deposition with and without GNP was to be reported. During the evaluation of the exercise, however, the data for energy deposition in the presence and absence of the GNP were also requested. A GNP size of 50 nm and 100 nm diameter was considered as well as two different X-ray spectra (50 kVp and 100 kVp). This introduced a redundancy that can be used to cross-validate the internal consistency of the simulation results. In this work, evaluation of the reported results is presented in terms of integral quantities that can be benchmarked against values obtained from physical properties of the radiation spectra and materials involved. The impact of different interaction cross-section datasets and their implementation in the different Monte Carlo codes is also discussed

Individual and environmental determinants associated with longer times to access pediatric rheumatology centers for patients with juvenile idiopathic arthritis, a JIR cohort study.

Despite guidelines, poor access to appropriate care for juvenile idiopathic arthritis (JIA) patients remains a global issue. Prompt referral to a pediatric rheumatology (PR) center and effective care is known to be critical for changing the natural history of the disease and improving long-term prognosis. This project assesses socio-economic factors of delayed referral to a pediatric rheumatologist (PRst) for JIA patients in France and Switzerland within the Juvenile Inflammatory Rheumatism (JIR) Cohort. All patients diagnosed with JIA, presenting at one center of the JIRcohort in France or Switzerland with additional data on referral pathway were included. Patient characteristics at first visit to the PR center, dates of visits to healthcare providers during referral, and parent characteristics were extracted from the JIRcohort database. Two hundred fifty children were included. The overall median time to first PR assessment was 2.4 months [1.3; 6.9] and ranged widely across the JIA subtypes, from 1.4 months [0.6; 3.8] for children with systemic juvenile idiopathic arthritis (sJIA) to 5.3 months [2.0; 19.1] for children with enthesitis-related arthritis (ERA). A diagnosis of ERA and an appointment with an orthopedist during the referral pathway were significantly associated with a longer time before the first PR visit (hazard ratio HR 0.50 [95% CI: 0.29; 0.84]) and HR 0.68 [95% CI: 0.49; 0.93], respectively) in multivariable analysis. Having a mother with a post-graduate educational attainment level was tendentially associated with a shorter time before the first PR visit, (HR 1.32 [95% CI: 0.99; 1.78]). Time to first PRst visit was most often short compared to other studies and close to the British recommendations. However, this time remained too long for many patients. We observed no social inequities in access to a PRst, but we show the need to improve effective pathway and access to a PR center for JIA patients

Données nouvelles sur Rotalia trochidiformis Lamarck (Foraminiferida). Emendation du genre Rotalia Lamarck 1804

In this work, the authors give a new description of the outer and inner morphology of Rotalia trochidiformis LMK. 1804 which was collected in several lutetian exposures of the Parisian Basin (e.g. Grignon). A detailed study of the internal structure with the scanning electronic microscope reveals the originality of the genus Rotalia concerning the morphology of the paries proximus. Its affinities with Discorbis are pointed out. These observations lead to an emendation of the genus Rotalia.Dans ce travail, il est donné une nouvelle description de la mor¬ phologie externe et interne de Rotalia trochidiformis LMK. 1804 récolté dans plusieurs gisements lutétiens du Bassin de Paris (notamment Grignon). Une étude détaillée, au microscope électronique à balayage, de la structure interne de Rotalia trochidiformis met en évidence, en ce qui concerne la morphologie du paries proximus, l'originalité du genre Rotalia et ses affinités avec Discorbis. Ceci conduit à une émendation du genre Rotalia.Levy Alain, Mathieu R., Poignant Alain-François, Rosset-Moulinier Marie, Rouvillois Armelle. Données nouvelles sur Rotalia trochidiformis Lamarck (Foraminiferida). Emendation du genre Rotalia Lamarck 1804. In: Géologie Méditerranéenne. Tome 9, numéro 1, 1982. pp. 33-41

Naming multi-modal clusters to identify persons in TV broadcast

published onlineInternational audiencePersons' identification in TV broadcast is one of the main tools to index this type of videos. The classical way is to use biometric face and speaker models, but, to cover a decent number of persons, costly annotations are needed. Over the recent years, several works have proposed to use other sources of names for identifying people, such as pronounced names and written names. The main idea is to form face/speaker clusters based on their similarities and to propagate these names onto clusters.In this paper, we propose a method to take advantage of written names during the diarization process, in order to both name clusters and prevent the fusion of two clusters named differently. First, we extract written names with the LOOV tool; these names are associated to their co-occurring speaker turns / face tracks. Simultaneously, we build a multi-modal matrix of distances between speaker turns and face tracks. Then agglomerative clustering is performed on this matrix with the constraint to avoid merging clusters associated to different names. We also integrate the prediction of few biometric models (anchors, some journalists) to directly identify speaker turns / face tracks before the clustering process.Our approach was evaluated on the REPERE corpus and reached an F-measure of 68.2% for speaker identification and 60.2% for face identification. Adding few biometric models improves results and leads to 82.4% and 65.6% for speaker and face identity respectively. By comparison, a mono-modal, supervised person identification system with 706 speaker models trained on matching development data and additional TV and radio data provides 67.8% F-measure, while 908 face models provide only 30.5% F-measure