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Mixed pancreatic epithelial and mesenchymal tumors are rare, usually invasive, entities. Intraductal papillary mucinous neoplasm (IPMN) is a precursor of invasive ductal carcinoma and shares mutations with its invasive counterparts. We report the case of a 72-year-old female with a previously undescribed sarcomatous transformation of a residual IPMN with no evidence of an invasive component. The mesenchymal component showed no heterologous differentiation. Both the epithelial and the mesenchymal populations showed aberrant expression of p53 protein and the same point mutation in KRAS gene. After a 6 month follow up, there were no signs of local or distant relapse. The present case suggests that sarcomatous transformation is possible in non-invasive, intraductal pancreatic lesions.

In the present study, we screened 84 Follicular Lymphoma patients for somatic mutations suitable as liquid biopsy MRD biomarkers using a targeted next-generation sequencing (NGS) panel. We found trackable mutations in 95% of the lymph node samples and 80% of the liquid biopsy baseline samples. Then, we use an ultra-deep sequencing approach with 2 · 10− 4 sensitivity (LiqBio-MRD) to track those mutations on 156 follow-up liquid biopsy samples from 55 treated patients. Positive LiqBio-MRD correlated with a higher risk of progression both at the interim evaluation (HR 13.0, 95% CI 2.70–63.4, p p p p

BACKGROUND Visceral leishmaniasis (VL) is an endemic in Southern Europe. However, details regarding disease burden, clinical presentations, laboratory markers, management and outcome in children are scarce. METHODS Medical records of children (

Despite the broad interest and use of sentiment analysis nowadays, most of the conclusions in current literature are driven by simple statistical representations of sentiment scores. On that basis, the generated sentiment evaluation consists nowadays of encoding and aggregating emotional information from a number of individuals and their populational trends. We hypothesized that the stochastic processes aimed to be measured by sentiment analysis systems will exhibit nontrivial statistical and temporal properties. We established an experimental setup consisting of analyzing the short text messages (tweets) of 6 user groups with different nature (universities, politics, musicians, communication media, technological companies, and financial companies), including in each group ten high-intensity users in their regular generation of traffic on social networks. Statistical descriptors were checked to converge at about 2000 messages for each user, for which messages from the last two weeks were compiled using a custom-made tool. The messages were subsequently processed for sentiment scoring in terms of different lexicons currently available and widely used. Not only the temporal dynamics of the resulting score time series per user was scrutinized, but also its statistical description as given by the score histogram, the temporal autocorrelation, the entropy, and the mutual information. Our results showed that the actual dynamic range of lexicons is in general moderate, and hence not much resolution is given within their end-of-scales. We found that seasonal patterns were more present in the time evolution of the number of tweets, but to a much lesser extent in the sentiment intensity. Additionally, we found that the presence of retweets added negligible effects over standard statistical modes, while it hindered informational and temporal patterns. The innovative Compounded Aggregated Positivity Index developed in this work proved to be characteristic for industries and at the same time an interesting way to identify singularities among peers. We conclude that temporal properties of messages provide with information about the sentiment dynamics, which is different in terms of lexicons and users, but commonalities can be exploited in this field using appropriate temporal digital processing tools.

Les normes que obliguen a la reducció en el consum energètic a les edificacions són cada vegada més estrictes, i tenen com a meta a mitjà termini, aconseguir edificis amb consum zero. L'actualització necessària dels edificis patrimonials enfronta diverses limitacions, ja que les normes de protecció redueixen les possibles intervencions, conduents a l'eficiència energètica i el confort dels usuaris. Aquest article presenta una metodologia replicable que identifica les tipologies d'envolupant profunda més utilitzades durant els inicis del Moviment Modern a Cali, les classifica segons les característiques geomètriques i determina les més representatives. L'objectiu de l'article és caracteritzar les tipologies existents i generar una classificació que es pugui utilitzar en el futur per determinar l'eficiència respecte a la qualitat de l'ambient interior en el clima càlid equatorial. Per definir la mostra intencional no probabilística, es va determinar un univers ampli i es va anar depurant amb criteris d'usos, alçades, any de realització i estat de conservació dels edificis. La definició d'uns criteris específics va permetre identificar les tipologies d'envolupant profunda utilitzades als edificis d'oficines construïts a Cali als anys 1950, es van classificar en 3 grups: amb elements verticals, elements horitzontals i combinació d'elements verticals i horitzontals. Finalment es van seleccionar els edificis que representen millor les envolupants profundes a Cali i que serviran com a casos d'estudi per identificar estratègies replicables en el disseny de façanes. The regulations that aim to reduce energy consumption in buildings are increasingly strict, and their medium-term goal is to achieve buildings with zero consumption. The necessary updating of heritage buildings faces several limitations, since protection standards reduce possible interventions, leading to energy efficiency and user comfort. This article presents a replicable methodology that identifies the most used deep-envelope typologies during the beginnings of the Modern Movement in Cali, Colombia. It classifies them according to their geometric characteristics, highlighting the most representative ones. The article’s objective is to analyse existing typologies, creating a classification that can be used to determine their efficiency regarding indoor environment quality in hot equatorial climates. A wide review of data was used to define a purposive non-probabilistic sample, refined according to building use, height, year of construction, and conservation condition. These criteria allowed to identify the types of deep-envelope used in the office buildings built in Cali in the 1950s: with vertical elements, with horizontal elements, and with a combination of vertical and horizontal elements. Finally, the buildings that best represented the deep-envelope systems in Cali were selected and used as case studies to identify replicable strategies for the design of facades. The regulations that aim to reduce energy consumption in buildings are increasingly strict, and their medium-term goal is to achieve buildings with zero consumption. The necessary updating of heritage buildings faces several limitations, since protection standards reduce possible interventions, leading to energy efficiency and user comfort. This article presents a replicable methodology that identifies the most used deep-envelope typologies during the beginnings of the Modern Movement in Cali, Colombia. It classifies them according to their geometric characteristics, highlighting the most representative ones. The article’s objective is to analyse existing typologies, creating a classification that can be used to determine their efficiency regarding indoor environment quality in hot equatorial climates. A wide review of data was used to define a purposive non-probabilistic sample, refined according to building use, height, year of construction, and conservation condition. These criteria allowed to identify the types of deep-envelope used in the office buildings built in Cali in the 1950s: with vertical elements, with horizontal elements, and with a combination of vertical and horizontal elements. Finally, the buildings that best represented the deep-envelope systems in Cali were selected and used as case studies to identify replicable strategies for the design of facades. Las normas que obligan a la reducción en el consumo energético en las edificaciones son cada vez más estrictas, y tienen como meta a mediano plazo, lograr edificios con consumo cero. La necesaria actualización de los edificios patrimoniales enfrenta varias limitaciones, ya que las normas de protección reducen las posibles intervenciones, conducentes a la eficiencia energética y el confort de los usuarios. Este artículo presenta una metodología replicable que identifica las tipologías de envolvente profunda más utilizadas durante los inicios del Movimiento Moderno en Cali, las clasifica según sus características geométricas y determina las más representativas. El objetivo del artículo es determinar las tipologías existentes y generar una clasificación pueda ser empleada en el futuro para determinar su eficiencia respecto a la calidad del ambiente interior en el clima cálido ecuatorial. Para definir la muestra intencional no probabilística, se determinó un universo amplio y se fue depurando con criterios de usos, alturas, año de realización y estado de conservación de los edificios. La definición de unos criterios específicos permitió identificar las tipologías de envolvente profunda utilizadas en los edificios de oficinas construidos en Cali en los años 1950s, se clasificaron en 3 grupos: con elementos verticales, con elementos horizontales y con combinación de elementos verticales y horizontales. Finalmente se seleccionaron los edificios que mejor representan las envolventes profundas en Cali y que servirán como casos de estudio para identificar estrategias replicables en el diseño de fachadas. Al programa de formación doctoral de la Pontificia Universidad Javeriana, seccional Cali

Introduction: Macrophages containing exogenous pigments are commonly encountered in cytological specimens. Case Presentation: We present a case of tumor tattooing as an infrequent exogenous source of peritoneal fluid macrophagic pigment in a 76-year-old female. Discussion and Conclusion: Tattooing-derived ink can be a source of macrophagic pigment and should not be confused with other endogenous or exogenous pigments. The anatomical location and past medical history of the patient can aid in the diagnosis.

Introduction: At present, the use of antioxidants in the sports field has increased. However, there is no conclusive evidence of the effect of these substances in improving the physical performance of athletes.Objective: To determine the effectiveness of antioxidant supplements in the improvement of athletic physical performance.Material and Methods: A bibliographic review was carried out through the search on online databases such as Pubmed, Scopus, the Web of Knowledge and Google Scholar search engine. Only original double-blind studies related to the intervention of an antioxidant supplement were included. The review period was from 2009 to December 2017.Development: A total of 1053 articles were identified, of which 33 met the inclusion criteria for the review. Regarding the type of supplement, 2 of them corresponded to vitamins, 9 to polyphenols, 11 to commercials, and the remaining 9 ones to several types. The historic period of the articles analyzed was 4.8 ± 2.4 years in terms of obsolescence, which was determined by the Burton and Kleber half-period and the Price index (5.5 and 61.0%, respectively).Conclusions: To date, there is no solid evidence that the intake of antioxidant supplements improves physical athletic performance. There are few positive results in some of the evaluated variables; for this reason, more evidence is required to elucidate the effect of antioxidant supplements.Keywords: Antioxidant response elements, Total Antioxidant System, athletic performance, endogenous antioxidants, sports performance.

This document is the deliverable D3.3 of the project POLYPHEM, where, taking into account the filler material, the issues related to filler shape and its influence on the thermocline thermal and structural behaviour are discussed.

Background Population aging will lead to a dramatic increase in dementia prevalence, which will disproportionally affect racial minorities. The presence of racial differences in dementia prevalence has been widely reported in United States, but there are no relevant studies on this topic in low- and middle-income countries. Methods In a cross-sectional survey, 2944 older Cubans were recruited at a community-based level aimed to identify the effects of self-identified race and genetic admixture on cognitive performance. Dementia diagnosis was established using 10/66 Dementia and DSM-IV criteria. APOE-ε4 genotype was determined in 2511 (85%) and genetic admixture was completed for all dementia cases and in a randomly selected sample of cognitive healthy participants (218 dementia cases and 367 participants without dementia). Results The overall prevalence of dementia was 8.7%, without large or statistically significant differences on dementia prevalence (p = .12) by self-identified race. Mean cognitive scores were similar across racial groups (p = .46). After controlling for age, sex, and education, greater proportion of African ancestry was not associated with cognitive performance (p = .17). Conclusions We found no evidence of an independent effect of self-identified race and/or population ancestry on dementia prevalence or cognitive performance. This suggests that observed differences in dementia prevalence among diverse populations may be driven primarily by social determinants of health.

The search for an unbiased company valuation method to reduce uncertainty, whether or not it is automatic, has been a relevant topic in social sciences and business development for decades. Many methods have been described in the literature, but consensus has not been reached. In the companion paper we aimed to review the assessment capabilities of traditional company valuation model, based on company&rsquo, s intrinsic value using the Discounted Cash Flow (DCF). In this paper, we capitalized on the potential of exogenous information combined with Machine Learning (ML) techniques. To do so, we performed an extensive analysis to evaluate the predictive capabilities with up to 18 different ML techniques. Endogenous variables (features) related to value creation (DCF) were proved to be crucial elements for the models, while the incorporation of exogenous, industry/country specific ones, incrementally improves the ML performance. Bagging Trees, Supported Vector Regression, Gaussian Process Regression methods consistently provided the best results. We concluded that an unbiased model can be created based on endogenous and exogenous information to build a reference framework, to price and benchmark Enterprise Value for valuation and credit risk assessment.

Objectives: The main purpose of this article was to analyze the culture of entrepreneurship in public universities of the Colombian Caribbean region. Materials and Methods: A descriptive-analytical, transversal, non experimental and field-type of methodology was applied. The target population comprised the coordinators of the different agencies that deal with entrepreneurship in public universities in the departments belonging to the Colombian Caribbean region, to which a questionnaire was applied in order to measure the variable. Findings: It was concluded that an institutional educational project with vision and projection that anticipates changes, allows image positioning in terms of management and results with clearly significant and differentiating elements in order to promote a culture of entrepreneurship is required. Application/Improvements: Public policies of entrepreneurship were evaluated followed by a description of the missionary processes of the Caribbean Coast universities within the business culture, as well as the dimensions of the institutional management linked to entrepreneurship culture. Keywords: Colombia, Culture of Entrepreneurship, Institutional Management, Missionary Processes, Public Policies, Public Universities

With the emergence of information and communication technologies, a large amount of data has turned available for the organizations, which creates expectations on their value and content for management purposes. However, the exploratory analysis of available organizational data based on emerging Big Data technologies are still developing in terms of operative tools for solid and interpretable data description. In this work, we addressed the exploratory analysis of organization databases at early stages where little quantitative information is available about their efficiency. Categorical and metric single-variable tests are proposed and formalized in order to provide a mass criterion to identify regions in forms with clusters of significant variables. Bootstrap resampling techniques are used to provide nonparametric criteria in order to establish easy-to-use statistical tests, so that single-variable tests are represented each on a visual and quantitative statistical plot, whereas all the variables in a given form are jointly visualized in the so-called chromosome plots. More detailed profile plots offer deep comparison knowledge for categorical variables across the organization physical and functional structures, while histogram plots for numerical variables incorporate the statistical significance of the variables under study for preselected Pareto groups. Performance grouping is addressed by identifying two or three groups according to some representative empirical distribution of some convenient grouping feature. The method is applied to perform a Big-Data exploratory analysis on the follow-up forms of Spanish Red Cross, based on the number of interventions and on a by-record basis. Results showed that a simple one-variable blind-knowledge exploratory Big-Data analysis, as the one developed in this paper, offers unbiased comparative graphical and numerical information that characterize organizational dynamics in terms of applied resources, available capacities, and productivity. In particular, the graphical and numerical outputs of the present analysis proved to be a valid tool to isolate the underlying overloaded or under-performing resources in complex organizations. As a consequence, the proposed method allows a systematic and principled way for efficiency analysis in complex organizations, which combined with organizational internal knowledge could leverage and validate efficient decision-making.

A small-scale hybrid power plant with CSP and biogas boiler was built at the University ENIT as a laboratory for research and education. The CSP system consists of parabolic trough collectors operating in direct steam generation (DSG) concept. An ORC turbine with a newly developed generator design generates up to 65 kW electrical from low temperature steam. Additionally, biomass anaerobic digestion and phase change storage are demonstrated. While the commissioning of the plant is scheduled for the end of August 2017, commissioning of the single components has already been successfully completed. Highlights and main results from installation and commissioning period are published within this paper.