El doctorado de educación ambiental de la UPEL (IPC-IPMJMSM): por qué, para qué y cómo

Este artículo presenta una aproximación histórica sobre los motivos, las razones y circunstancias en los que, con base en el curso homologado de pregrado Educación Ambiental, se concibió el Doctorado de Educación Ambiental. La metodología usada combinó varios métodos cuantitativos y cualitativos para el análisis e interpretación de la información. La concepción general del Doctorado está fundamentada en las teorías de la complejidad de Morin (1994, 1999, 2000), general de sistemas de Bertalanffy (1976), sociocultural de Vygotski (1979) y cognoscitiva (Ausubel, Novak y Hanesian 1986)

Cultura organizacional e o bem-estar dos terapeutas ocupacionais Portugueses

Mestrado em Gestão e Avaliação de Tecnologias em SaúdeO comportamento individual e organizacional são influenciados pela cultura organizacional que configura as formas distintas de expressão e de interação social, que explicam hábitos, costumes e crenças, partilhados pelos membros do mesmo grupo. O presente estudo tem como objetivo principal verificar se a cultura organizacional influencia o bem-estar no trabalho percecionado pelos terapeutas ocupacionais. Pretende-se ainda perceber se as características pessoais e profissionais destes profissionais de saúde, influenciam o seu Bem-Estar no Trabalho. Por último, pretende-se identificar a dimensão que mais contribui para o Bem-Estar no Trabalho. Para a recolha de dados foi realizada por meio de um questionário online constituído por duas secções: a primeira incluiu o Organizacional Culture Assessment Instrument (OCAI) e a segunda, o questionário Bem-Estar no Trabalho para Profissionais de Saúde (BET-Prof.Saúde). A análise dos dados obtidos foi realizada através de análise estatística descritiva de tendência central, por meio do cálculo de frequências, percentagens, médias e desvio padrão, de modo a poder-se caracterizar a amostra e de testes paramétricos (T-Student, Correlação de Spearman, Oneway A-Nova). Foi ainda utilizada a Regressão Linear para análise do modelo de Bem-Estar no Trabalho. Obteve-se uma amostra de 147 participantes, dos quais 88% eram do sexo feminino e 22% do sexo masculino, com idade compreendida entre os 22 e os 63 anos (m=35,20; ± dp=9,648). Tendo em conta os resultados obtidos, concluiu-se que a cultura organizacional, mais precisamente as culturas de Clã e Adocrática, estão associadas positivamente a melhores níveis de Bem-Estar no Trabalho e que o inverso acontece quando predominam as culturas Hierárquica e de Mercado. As dimensões Engagement, Suporte Social e Clima de Equipa, podem ser influenciadas pelas características profissionais dos indivíduos (local de trabalho, tipo de contrato e função de chefia) e são as que mais se relacionam de forma positiva e significativa com o Bem-Estar no Trabalho.ABSTRACT - Individual and organizational behavior are influenced by the organizational culture that shapes the different forms of expression and social interaction that explain habits, customs, and beliefs shared by members of the same group. The main objective of this study is to verify if the organizational culture influences the well-being of work perceived by the occupational therapists. It is also intended to understand if the personal and professional characteristics of these health professionals influence their well-being at work. Finally, it is intended to identify the dimension that contributes most to Well-being at Work. Data collection was done through an online questionnaire consisting of two sections: the first included the Organizational Culture Assessment Instrument (OCAI) and the second, the questionnaire Bem-Estar no Trabalho para Profissionais de Saúde (BET-Prof.saúde). The analysis of the data obtained was performed through a descriptive statistical analysis of central tendency, by means of the calculation of frequencies, percentages, means and standard deviation, in order to be able to characterize the sample and of parametric tests (T-Student, Spearman Correlation, Oneway A-Nova). Linear Regression was also used to analyze the well-being model at work. A sample of 147 participants was obtained, of which 88% were female and 22% male, aged between 22 and 63 years (m = 35,20; ± DP = 9,648). Considering the results obtained, it was concluded that the organizational culture, more precisely the cultures of Clã and Adhocratic, is positively associated with better levels of well-being at work and that the opposite occurs when Hierarchical and Market cultures predominate. The Engagement, Social Support, and Team Climate dimensions can be influenced by the individual’s professional characteristics (workplace, type of contract, and leadership role) and are the ones that are most positively and significantly related to Well-being at work.N/

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts

Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

Although theMYConcogene has been implicated incancer, a systematic assessment of alterations ofMYC, related transcription factors, and co-regulatoryproteins, forming the proximal MYC network (PMN),across human cancers is lacking. Using computa-tional approaches, we define genomic and proteo-mic features associated with MYC and the PMNacross the 33 cancers of The Cancer Genome Atlas.Pan-cancer, 28% of all samples had at least one ofthe MYC paralogs amplified. In contrast, the MYCantagonists MGA and MNT were the most frequentlymutated or deleted members, proposing a roleas tumor suppressors.MYCalterations were mutu-ally exclusive withPIK3CA,PTEN,APC,orBRAFalterations, suggesting that MYC is a distinct onco-genic driver. Expression analysis revealed MYC-associated pathways in tumor subtypes, such asimmune response and growth factor signaling; chro-matin, translation, and DNA replication/repair wereconserved pan-cancer. This analysis reveals insightsinto MYC biology and is a reference for biomarkersand therapeutics for cancers with alterations ofMYC or the PMN

Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumorinfiltrating lymphocytes (TILs) based on H&E images from 13 TCGA tumor types. These TIL maps are derived through computational staining using a convolutional neural network trained to classify patches of images. Affinity propagation revealed local spatial structure in TIL patterns and correlation with overall survival. TIL map structural patterns were grouped using standard histopathological parameters. These patterns are enriched in particular T cell subpopulations derived from molecular measures. TIL densities and spatial structure were differentially enriched among tumor types, immune subtypes, and tumor molecular subtypes, implying that spatial infiltrate state could reflect particular tumor cell aberration states. Obtaining spatial lymphocytic patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for the TCGA image archives with insights into the tumor-immune microenvironment

An original phylogenetic approach identified mitochondrial haplogroup T1a1 as inversely associated with breast cancer risk in BRCA2 mutation carriers

Introduction: Individuals carrying pathogenic mutations in the BRCA1 and BRCA2 genes have a high lifetime risk of breast cancer. BRCA1 and BRCA2 are involved in DNA double-strand break repair, DNA alterations that can be caused by exposure to reactive oxygen species, a main source of which are mitochondria. Mitochondrial genome variations affect electron transport chain efficiency and reactive oxygen species production. Individuals with different mitochondrial haplogroups differ in their metabolism and sensitivity to oxidative stress. Variability in mitochondrial genetic background can alter reactive oxygen species production, leading to cancer risk. In the present study, we tested the hypothesis that mitochondrial haplogroups modify breast cancer risk in BRCA1/2 mutation carriers. Methods: We genotyped 22,214 (11,421 affected, 10,793 unaffected) mutation carriers belonging to the Consortium of Investigators of Modifiers of BRCA1/2 for 129 mitochondrial polymorphisms using the iCOGS array. Haplogroup inference and association detection were performed using a phylogenetic approach. ALTree was applied to explore the reference mitochondrial evolutionary tree and detect subclades enriched in affected or unaffected individuals. Results: We discovered that subclade T1a1 was depleted in affected BRCA2 mutation carriers compared with the rest of clade T (hazard ratio (HR) = 0.55; 95% confidence interval (CI), 0.34 to 0.88; P = 0.01). Compared with the most frequent haplogroup in the general population (that is, H and T clades), the T1a1 haplogroup has a HR of 0.62 (95% CI, 0.40 to 0.95; P = 0.03). We also identified three potential susceptibility loci, including G13708A/rs28359178, which has demonstrated an inverse association with familial breast cancer risk. Conclusions: This study illustrates how original approaches such as the phylogeny-based method we used can empower classical molecular epidemiological studies aimed at identifying association or risk modification effects.Peer reviewe

Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan dengan Keterbatasan Manusia dalam Memprediksi Masa Depan dalam Perspektif Al-Qur`an

Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization). Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio produces a convex quadratic programming, that is minimizing the objective function ðð¥with constraintsð ð 𥠥 ðandð´ð¥ = ð. The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis

Differential cross section measurements for the production of a W boson in association with jets in proton–proton collisions at √s = 7 TeV

Measurements are reported of differential cross sections for the production of a W boson, which decays into a muon and a neutrino, in association with jets, as a function of several variables, including the transverse momenta (pT) and pseudorapidities of the four leading jets, the scalar sum of jet transverse momenta (HT), and the difference in azimuthal angle between the directions of each jet and the muon. The data sample of pp collisions at a centre-of-mass energy of 7 TeV was collected with the CMS detector at the LHC and corresponds to an integrated luminosity of 5.0 fb[superscript −1]. The measured cross sections are compared to predictions from Monte Carlo generators, MadGraph + pythia and sherpa, and to next-to-leading-order calculations from BlackHat + sherpa. The differential cross sections are found to be in agreement with the predictions, apart from the pT distributions of the leading jets at high pT values, the distributions of the HT at high-HT and low jet multiplicity, and the distribution of the difference in azimuthal angle between the leading jet and the muon at low values.United States. Dept. of EnergyNational Science Foundation (U.S.)Alfred P. Sloan Foundatio