Creating Space:Enabling inclusion in social policy through participatory research

Boutellier, J.C.J. [Promotor]Pels, T.V.M. [Promotor

Effetto di mineralogia e granulometria sul comportamento di transizione di miscele di sabbia.

Il comportamento di transizione è stato identificato per diverse tipologie di terreno, dai terreni con lacuna granulometrica a limi e sabbie ben gradate. Tale comportamento è caratterizzato dall’esistenza di percorsi di compressione non convergenti e dalla non unicità della linea di stato critico, con localizzazione fortemente dipendente dalla densità iniziale dei campioni. Sebbene in letteratura tale comportamento sia stato inizialmente attribuito a terreni di granulometria intermedia, è stato mostrato come questo sembrerebbe manifestarsi anche in presenza di terreni aventi granulometria mista, con lacuna granulometrica o ben gradati, e per miscele composte da particelle di diversa natura o diversa mineralogia. La diversa tipologia di terreni in cui tale comportamento è stato osservato evidenzia l’elevata difficoltà nell’individuazione dei fattori chiave che lo determinano. Uno studio recente ha mostrato la mancata convergenza dei percorsi di compressione per alcune miscele di sabbia create artificialmente utilizzando materiali di differente mineralogia: sabbia di quarzo e sabbia carbonatica. Con lo scopo di verificare l’effetto della composizione mineralogica, delle dimensioni e resistenza relative dei grani e natura delle particelle sul manifestarsi o meno del comportamento di transizione, la presente nota approfondisce i risultati del precedente studio utilizzando miscele di sabbia caratterizzate da proporzioni variabili delle componenti mineralogiche e granulometriche

Focusing in Multiwell Potentials: Applications to Ion Channels

We investigate out of equilibrium stationary distributions induced by a stochastic dichotomous noise on double and multi-well models for ion channels. Ion-channel dynamics is analyzed both through over-damped Langevin equations and master equations. As a consequence of the external stochastic noise, we prove a non trivial focusing effect, namely the probability distribution is concentrated only on one state of the multi-well model. We also show that this focusing effect, which occurs at physiological conditions, cannot be predicted by a simple master equation approach.Comment: 8 pages, 7 figure

Protein kinase C isoenzymes in human neuroblasts involvement of PKCε in cell differentiation

AbstractAlthough neuronal cells are a major target of phorbol ester action, the activity of the various protein kinase C (PKC) isoenzymes have not been studied in detail in human neuroblasts. Differentiation of the LAN-5 human neuroblastoma cell line by interferon-γ (IFN-γ) is accompanied by a twofold increase in PKC activity. Since PKC is a multigene family, we investigated which isoforms were expressed in control and differentiated cells, and which of these isoenzymes is involved in neuronal differentiation. We found that: (1) PKC activity is higher in differentiated than in undifferentiated cells; (2) RT-PCR analysis showed the expression of mRNA for PKCα, -γ, -δ -ε and-ζ and the absence of mRNA for β in untreated LAN-5 cells; (3) Western blot evaluation with PKC isoform-specific antibodies showed the same pattern of PKC expression in non-differentiated cells; (4) Expression of PKCε mRNA was significantly enhanced by IFN-γ-induced differentiation, while the other isoforms were not affected; (5) Differentiation of LAN-5 cells with IFN-γ or retinoic acid induced overexpression of the PKCε protein, while inhibition of cell proliferation by fetal calf serum starvation was without effect. These findings suggest that expression of PKCε isoform is tightly coupled with neuronal differentiation and may play a role in the maintenance of the differentiated state

The role of particle mineralogy in mixtures of sands

Several recent studies on mixtures of sands of different granulometries and/or mineralogies have focused on the key factors that might lead the behaviour to change from transitional to not transitional, where a transitional behaviour is characterised by non-convergent compression paths and critical state lines that might be non-unique. The authors present a review of mixtures of different soils showing a complex pattern of compression and shearing behaviour in which transitional behaviour can be caused by relatively small varia- tions to the proportion or nature of soil particles. Laboratory investigations, carried out by means of oedometer tests, have confirmed the role of the mineralogy of the matrix composed by larger grains. This determines the mode of behaviour so that, if there is a strong and stiff matrix made of quartz sand particles, which are either larger than or at least of similar size to the other component, then non-convergent compression paths are likely to occur, no matter whether particle breakage occurs or not

Using Molecular Embeddings in QSAR Modeling: Does it Make a Difference?

With the consolidation of deep learning in drug discovery, several novel algorithms for learning molecular representations have been proposed. Despite the interest of the community in developing new methods for learning molecular embeddings and their theoretical benefits, comparing molecular embeddings with each other and with traditional representations is not straightforward, which in turn hinders the process of choosing a suitable representation for QSAR modeling. A reason behind this issue is the difficulty of conducting a fair and thorough comparison of the different existing embedding approaches, which requires numerous experiments on various datasets and training scenarios. To close this gap, we reviewed the literature on methods for molecular embeddings and reproduced three unsupervised and two supervised molecular embedding techniques recently proposed in the literature. We compared these five methods concerning their performance in QSAR scenarios using different classification and regression datasets. We also compared these representations to traditional molecular representations, namely molecular descriptors and fingerprints. As opposed to the expected outcome, our experimental setup consisting of over 25,000 trained models and statistical tests revealed that the predictive performance using molecular embeddings did not significantly surpass that of traditional representations. While supervised embeddings yielded competitive results compared to those using traditional molecular representations, unsupervised embeddings tended to perform worse than traditional representations. Our results highlight the need for conducting a careful comparison and analysis of the different embedding techniques prior to using them in drug design tasks, and motivate a discussion about the potential of molecular embeddings in computer-aided drug design

Response dynamics of metal oxide gas sensors working with temperature profile protocols

Abstract In this work we present the analysis of gas sensors working in modulated temperature mode with temperature varying according to exponential law. We integrate conductometric gas sensor based on semiconducting metal oxide layers and an ad-hoc developed electronics to present a sensing system based on a single sensor featuring a degree of selectivity arising from the exploitation of response dynamics features. In particular, a set of parameters is used to summarize the deviation of the response shape from the single exponential law

A practical algorithmic approach to mature aggressive B cell lymphoma diagnosis in the double/triple hit era. Selecting cases, matching clinical benefit. A position paper from the Italian Group of Haematopathology (G.I.E.)

An accurate diagnosis of clinically distinct subgroups of aggressive mature B cell lymphomas is crucial for the choice of proper treatment. Presently, precise recognition of these disorders relies on the combination of morphological, immunophenotypical, and cytogenetic/molecular features. The diagnostic workup in such situations implies the application of costly and time-consuming analyses, which are not always required, since an intensified treatment option is reasonably reserved to fit patients. The Italian Group of Haematopathology proposes herein a practical algorithm for the diagnosis of aggressive mature B cell lymphomas based on a stepwise approach, aimed to select cases deserving molecular analysis, in order to optimize time and resources still assuring the optimal management for any patient

Aplicação de índices espectrais na avaliação do aumento da concentração de dióxido de carbono atmosférico em cafeeiro.

Abstract: Human influence on the climate system is clear, and recent anthropogenic emissions of greenhouse gases are the highest in history. In addition, recent climate change have had widespread impacts on human and natural system. The morphology and the physiological processes of plants can be altered by increasing the atmospheric carbon dioxide (CO2) concentration. The objective of this study was to evaluate the spectral indexes of individual leaves of coffee cv. Obatã IAC 1669-20 under the effect of increased atmospheric CO2 concentration. Samples of coffee leaves were collected in August and in December 2013, from plants cultivated in the FACE experiment (Free Air CO2 Enrichment), located at Embrapa Environment, Jaguariúna - SP. Seven spectral index were evaluated. The spectral propriety of leaves collected in August detected the effect of CO2 enriched environment by adopting the PSSRa and PSSRb (Pigment Specific Simple Ratio, chlorophyll a and b, respectively) and NDVI (Normalized Difference Vegetation Index), at 1 % of significance. However, the same was not observed in leaves collected in December and the effect of CO2 enriched environment was not significant. Additional studies are been conducted in order to better understanding of the interaction process between the spectral properties of individual leaves and the enriched CO2 concentration environment