Optimally running a biomass-based energy production process

A multi-plant biomass-based energy production process is able to extract the chemical energy from various agricultural products. Such a process consists of several plants that are able to deal with biomasses of different types. Each type of plant has distinct mass-to-energy yields for each particular product type. Since the scale of the process may be geographically wide, transportation costs also have an impact on the overall profitability. Biomasses have different unit costs, and endproducts (electrical energy, refined bioethanol, but also several other cross-products of the biomasses that are not necessarily energy-related) have different selling prices; hence, deciding the amount of each different biomass to process in order to maximize revenues and minimize costs is a nontrivial task. In this paper we propose a mathematical programming formulation of this problem and discuss its application to a real-world example

Nas franjas do rural-urbano: meninas entre a tradição e a modernidade

Este artigo gira em torno da possibilidade de reinterpretar dados de pesquisa do passado, à luz das Teorias da Complexidade, conectando-os a dados atuais para conseguir explicações mais compreensivas. São tomados então alguns dados de minhas pesquisas sobre o rural-urbano, a saber: dados quantitativos do Censo de Assentamentos Rurais do Estado de São Paulo sobre as expectativas dos pais em relação à escolarização de meninos e meninas (anos 90); dados qualitativos de uma pesquisa com redações escolares realizada na região de Araraquara no início dos anos 80. Construindo-se uma ponte entre as duas situações, o argumento central é o de que questão das meninas na zona rural deve ser discutida levando-se em conta a relação rural-urbano e superando-se essa dicotomia sob a ótica da história recente do país. Observa-se então que as transformações pelas quais passa a sociedade nacional se refeletem no campo e a conexão entre os dois momentos enfocados (anos 90 versus início dos anos 80) é reveladora de que os germens dessas mudanças já se anunciavam nas relações de algumas meninas que criticavam a sobrecarga do trabalho doméstico sobre os próprios ombros, principalmente sobre os de suas mães

Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes

International audienceGenome-wide association studies have identified breast cancer risk variants in over 150 genomic regions, but the mechanisms underlying risk remain largely unknown. These regions were explored by combining association analysis with in silico genomic feature annotations. We defined 205 independent risk-associated signals with the set of credible causal variants in each one. In parallel, we used a Bayesian approach (PAINTOR) that combines genetic association, linkage disequilibrium and enriched genomic features to determine variants with high posterior probabilities of being causal. Potentially causal variants were significantly over-represented in active gene regulatory regions and transcription factor binding sites. We applied our INQUSIT pipeline for prioritizing genes as targets of those potentially causal variants, using gene expression (expression quantitative trait loci), chromatin interaction and functional annotations. Known cancer drivers, transcription factors and genes in the developmental, apoptosis, immune system and DNA integrity checkpoint gene ontology pathways were over-represented among the highest-confidence target genes