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Introduction: Emerging evidence suggests that Chemotherapy (CT) treated breast cancer survivors (BCS) who have “risk variants” in genes may be more susceptible to cognitive impairment (CI) and/or poor cardiac phenotypes. The objective of this preliminary study was to examine whether there is a relationship between genetic variants and objective/subjective cognitive or cardiac phenotypes. Methods and Analysis: BCS were recruited from Moffitt Cancer Center, Morsani College of Medicine, AdventHealth Tampa and Sarasota Memorial Hospital. Genomic DNA were collected at baseline for genotyping analysis. A total of 16 single nucleotide polymorphisms (SNPs) from 14 genes involved in cognitive or cardiac function were evaluated. Three genetic models (additive, dominant, and recessive) were used to test correlation coefficients between genetic variants and objective/subjective measures of cognitive functioning and cardiac outcomes (heart rate, diastolic blood pressure, systolic blood pressure, respiration rate, and oxygen saturation). Results: BCS (207 participants) with a mean age of 56 enrolled in this study. The majority were non-Hispanic white (73.7%), married (63.1%), and received both CT and radiation treatment (77.3%). Three SNPs in genes related to cognitive functioning (rs429358 in APOE, rs1800497 in ANKK1, rs10119 in TOMM40) emerged with the most consistent significant relationship with cognitive outcomes. Among five candidate SNPs related to cardiac functioning, rs8055236 in CDH13 and rs1801133 in MTHER emerged with potential significant relationships with cardiac phenotype. Conclusions: These preliminary results provide initial targets to further examine whether BCS with specific genetic profiles may preferentially benefit from interventions designed to improve cognitive and cardiac functioning following CT.

It has generally been assumed that Burgundian compiler Jean Mansel borrowed the history of the kings of France included in his Fleur des histoires from the Grandes Chroniques de France, the most widely circulated French historiographical work at the time. The present paper challenges this assumption, focusing the attention on a particular segment of Mansel’s Fleur in its short redaction. Extant in five manuscripts, this section covers the history of the French kings from Charlemagne to Charles VI. A comparison of Mansel’s text with that of the Chronique de France jusque 1380 discloses the striking similarities of the two works in their recounting of the history of the kings of France. It appears that both authors are not dependent on the Grande Chroniques as much as they are indebted to an already reworked and rewritten redaction of this work. Indeed, Jean Mansel and the author of the Chronique jusque 1380 provide a history of the French sovereigns which comes from the Abrege Paulin Paris. Lexical and stylistic resemblance between Mansel’s Fleur and the Chronique jusque 1380 indicates both authors mined an intermediate, unidentified text based on the Abrege; chronology in the composition of the two works and divergent choices in the selection of episodes recounted assure that the authors worked independently from one another.

Le propos de cette breve note signaletique concerne l’identification du texte conserve dans le ms. de Valenciennes, Bibliotheque municipale, 636. Jusqu’ici considere comme un temoin des Grandes Chr...

La reception du Girart de Roussillon de Jean Wauquelin peut etre apprehendee dans deux compilations historiques bourguignonnes : d’une part, la Fleur des histoires de Jean Mansel et, d’autre part, ...

The rate of penetration (ROP) is an important parameter that affects the success of a drilling operation. In this paper, the research approach is based on different artificial neural network (ANN) models to predict ROP for oil and gas wells in Nam Con Son basin. The first is the process of collecting and evaluating drilling parameters as input data of the model. Next is to find the network model capable of predicting ROP most accurately. After that, the study will evaluate the number of input parameters of the network model. The ROP prediction results obtained from different ANN models are also compared with traditional models such as the Bingham model, Bourgoyne & Young model. These results have shown the competitiveness of the ANN model and its high applicability to actual drilling operations.

Among the historiographical production of the late Middle Ages, studies traditionally categorize the following texts in the « journals » genre : the Journal of Jean Le Fèvre, the Journal of Nicolas de Baye, the Journal d’un bourgeois de Paris, the Journal of Clément de Fauquembergue, the Journal de la paix d’Arras of Antoine de la Taverne, the Journal of Jean Maupoint, the Journal of Jean de Roye and the Journal du siège d’Orleans et du Voyage de Reims. After attempting to define the genre of the journal of the late Middle Ages, based on formal and discursive characteristics of those texts, this article demonstrates that the «journals » of clerks Nicolas de Baye and Clément Fauquembergue cannot be considered as examples of the genre. Therefore, this article proposes to reconsider the status of these two texts and to put them back into their original context of production, namely the official parliamentary writing., Parmi la production historiographique de la fin du Moyen Âge, la critique qualifie traditionnellement de «journal » les textes suivants : le Journal de Jean Le Fèvre, le Journal de Nicolas de Baye, le Journal d’un bourgeois de Paris, le Journal de Clément de Fauquembergue, le Journal de la paix d’Arras d’Antoine de la Taverne, le Journal de Jean Maupoint, le Journal de Jean de Roye et le Journal du siège d’Orléans et du Voyage de Reims. Après une tentative de définition du genre du journal à la fin du Moyen Âge fondée sur les caractéristiques formelles et discursives de ces différents textes, nous démontrons que les «journaux » des greffiers Nicolas de Baye et Clément de Fauquembergue figurent à titre erroné parmi les représentants du genre. Par conséquent, dans cet article, nous proposons de reconsidérer le statut de ces deux textes, en les resituant dans leur contexte de production qui est l’écrit parlementaire officiel., Onder de historiografische productie van de late middeleeuwen duidt de kritiek gebruikelijk als «dagboek » de volgende teksten aan : het Journal van Jean le Fèvre, het Journal van Nicolas de Baye, het Journal d’un bourgeois de Paris, het Journal van Clément de Fauquembergue, het Journal de la paix d’Arras van Antoine de la Taverne, het Journal van Jean Maupoint, het Journal van Jean de Roye en het Journal du siège d’Orléans et du Voyage de Reims. Na een poging om het genre van het dagboek van de late middeleeuwen te definiëren, gebaseerd op de formele en discursieve karakteristieken van deze teksten, tonen wij aan dat de «dagboeken » van de griffiers Nicolas de Baye en Clément de Fauquembergue niet kunnen worden beschouwd als representatief voor het genre. In dit artikel stellen we bijgevolg de herziening van het statuut van deze teksten voor, door ze terug te categoriseren in hun oorspronkelijke context : het officiële parlementaire verslag., Thy Nguyen Anh. Les « journaux » de Nicolas de Baye et de Clément de Fauquembergue à la fin du Moyen Âge : une mise au point. In: Revue belge de philologie et d'histoire, tome 97, fasc. 4, 2019. Histoire – Geschiedenis. pp. 1409-1420.

Et par tout le munde [la mort] couroitTout tuoit et tout acouroit,Quanqu’il li venoit a l’encontre,N’on ne pooit resister contre.Et briefment tant en acoura,Tant en occist et devoura,Que tous les jours a grans monciausTrouvoit on dames, jouvenciaus,Juenes, viels et de toutes guises. Face à la mort noire, il n’est point de résistance possible. Dans cette description de la grande peste, Guillaume de Machaut utilise le verbe « résister » pour tirer avantage de toute sa richesse sémantique : rési...

In this paper, we propose a new approach based on graph model and enhanced IncrementalDBSCAN to solve incremental document clustering problem. Instead of traditional vector-based model, a graph-based is used for document representation. By using graph model, we can easily update graph structure when a new document is added to database. Meanwhile, IncrementalDBSCAN is an effective incremental clustering algorithm suitable for mining in dynamically changing databases. Similarity between two documents is measured by hybrid similarity of their adapting feature vectors and shared-phrase information. Our experimental results demonstrate the effectiveness of the proposed method.