L’Absence d’article en français et sa solution en chinois

Nous nous intéressons dans cette contribution à l’absence de déterminant en chinois et en français. Bien qu’en chinois il n’existe pas d’article, cela ne signifie pas l’absence des fonctions assumées par l’article et par l’article zéro. Concernant les fonctions des articles, nous nous intéresserons à la dissymétrie fonctionnelle entre ces deux langues : présence / absence d’article en français et présence / absence de classificateur en chinois. Pour étudier leurs fonctions, nous procèderons à une analyse contrastive des fonctions assumées par l’article et par les classificateurs, et ce particulièrement sur les aspects suivants : distinction entre fonction prédicationnelle et identificationnelle ; concrétion et actualisation des noms en français et en chinois ; phénomènes dissymétriques entre le chinois et le français par rapport à l’article / classificateur. Une étude comparative comme celle-ci permet de prendre conscience d’un certain rapprochement grammatical entre ces deux langues apparemment éloignées.In this paper, we are interested in the absence of determinants in Chinese and French. As we all know that there is no article in Chinese, yet this does not mean the absence of the functions assumed by the article and the zero article. Regarding the functions of the articles, we will focus on the functional asymmetry between the two languages : presence / absence of an article in French and presence / absence of a quantifier in Chinese. In this research,we will do a comparative analysis on the functions of the article and the quantifiers, in particular on the following aspects : distinction between predicate and identification function ; concretion and actualization of nouns in French and Chinese ; dissymmetrical structure between these two languages in relation to the article / quantifier. Certainly, such comparative study makes it possible to observeto a certain extent the grammatical rapprochement between the two apparently distant languages

Hierarchical Graph Capsule Network

Graph Neural Networks (GNNs) draw their strength from explicitly modeling the topological information of structured data. However, existing GNNs suffer from limited capability in capturing the hierarchical graph representation which plays an important role in graph classification. In this paper, we innovatively propose hierarchical graph capsule network (HGCN) that can jointly learn node embeddings and extract graph hierarchies. Specifically, disentangled graph capsules are established by identifying heterogeneous factors underlying each node, such that their instantiation parameters represent different properties of the same entity. To learn the hierarchical representation, HGCN characterizes the part-whole relationship between lower-level capsules (part) and higher-level capsules (whole) by explicitly considering the structure information among the parts. Experimental studies demonstrate the effectiveness of HGCN and the contribution of each component.Comment: AAAI 2021; Code: https://github.com/uta-smile/HGC

Clinical-radiomics nomogram using contrast-enhanced CT to predict histological grade and survival in pancreatic ductal adenocarcinoma

ObjectivesTumor grading is important for prognosis of pancreatic ductal adenocarcinoma (PDAC). In this study, we developed preoperative clinical-radiomics nomograms using features from contrast-enhanced CT (CECT), to discriminate high-grade and low-grade PDAC and predict overall survival (OS).MethodsIn this single-center, retrospective study conducted from February 2014 to April 2021, consecutive PDAC patients who underwent CECT and had pathologically identified grading were randomized to training (n=200) and test (n=84) cohorts for development of model to predict histological grade based on radiomics scores from CECT (HGrad). Another 42 patients were used as external validation cohort of HGrad. A nomogram (HGnom) was constructed using radiomics score, CA12-5 and smoking to predict histological grade. A second nomogram (Pnom) was constructed using radiomics score, CA12-5, TNM, adjuvant treatment, resection margin and microvascular invasion to predict OS in radical resection patients (217 of 284).ResultsAmong 326 patients, 122 were high-grade (120 poorly differentiated and 2 undifferentiated). The HGrad yielded AUCs of 0.75 (95% CI: 0.64, 0.85) and 0.76 (95% CI: 0.60, 0.91) in test and validation cohorts. The HGnom achieved AUCs of 0.77 (95% CI: 0.66, 0.87), and the predicted grades calibrated well with actual grades (P=.13). OS was different between the grades predicted by radiomics scores (P=.01). The integrated AUC of the Pnom for predicting OS was 0.80 (95% CI: 0.75, 0.88).ConclusionCompared with the HGrad using features from CECT, the HGnom demonstrated higher performance for predicting histological grade. The Pnom helped identify patients with high survival outcome in pancreatic ductal adenocarcinoma

An Experimental Study on the Establishment of Pulmonary Hypertension Model in Rats induced by Monocrotaline

Pulmonary hypertension is called PH for short. It is caused by the pulmonary artery vascular disease leading to pulmonary vascular resistance, and the increase right lung compartment load, which resulting in weakening or even collapse of the right ventricular function. The establishment of rat PH model under the action of monocrotaline is a repeatable, simple and accessible operation technique, which has been widely used in the treatment of pulmonary hypertension. This paper discusses the principle and properties of the PH model on rats under the monocrotaline action

New genetic loci link adipose and insulin biology to body fat distribution.

Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P < 5 × 10(-8)). In total, 20 of the 49 waist-to-hip ratio adjusted for BMI loci show significant sexual dimorphism, 19 of which display a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms