The use of clinical risk factors enhances the performance of BMD in the prediction of hip and osteoporotic fractures in men and women.

SUMMARY: BMD and clinical risk factors predict hip and other osteoporotic fractures. The combination of clinical risk factors and BMD provide higher specificity and sensitivity than either alone. INTRODUCTION AND HYPOTHESES: To develop a risk assessment tool based on clinical risk factors (CRFs) with and without BMD. METHODS: Nine population-based studies were studied in which BMD and CRFs were documented at baseline. Poisson regression models were developed for hip fracture and other osteoporotic fractures, with and without hip BMD. Fracture risk was expressed as gradient of risk (GR, risk ratio/SD change in risk score). RESULTS: CRFs alone predicted hip fracture with a GR of 2.1/SD at the age of 50 years and decreased with age. The use of BMD alone provided a higher GR (3.7/SD), and was improved further with the combined use of CRFs and BMD (4.2/SD). For other osteoporotic fractures, the GRs were lower than for hip fracture. The GR with CRFs alone was 1.4/SD at the age of 50 years, similar to that provided by BMD (GR = 1.4/SD) and was not markedly increased by the combination (GR = 1.4/SD). The performance characteristics of clinical risk factors with and without BMD were validated in eleven independent population-based cohorts. CONCLUSIONS: The models developed provide the basis for the integrated use of validated clinical risk factors in men and women to aid in fracture risk prediction.

Melastatin Expression in Ocular Melanocytic Proliferations

Purpose: Melastatin (MLSN-1) belongs to the transient receptor potential (TRP) superfamilly of calcium-permeable channels, and has been reported to be a melanocyte-specific gene. In human cutaneous melanoma, MLSN-1 mRNA expression displays a pattern of inverse correlation to disease free survival. We describe the patterns of MLSN-1 mRNA expression in conjunctival nevi, conjunctival melanoma, and uveal melanoma. Methods: In situ hybridization using two S35-labelled riboprobes for MLSN-1 was performed on formalin-fixed, paraffin-embedded tissues. A control probe for H4 histone was used to confirm mRNA integrity in these archival tissues. The 21 ocular melanocytic lesions studied included 5 conjunctival nevi, 6 conjunctival melanomas, and 10 enucleated eyes with uveal melanoma. The minimal requirement for interpretation of MLSN-1 mRNA loss was the presence of only background signal in a focus of at least 5 adjacent melanocytic cells. Results: Ubiquitous expression of MLSN-1 mRNA was found in conjunctival melanocytes in the non-lesional epithelium adjacent to the conjunctival melanocytic proliferations and in all 5 conjunctival nevi studied. Four different patterns of MLSN-1 mRNA expression were observed in conjunctival melanomas: one case showed complete preservation of MLSN-1 mRNA, two cases showed diffuse scattered loss of MLSN-1 mRNA, two cases showed focal clonal loss of MLSN-1 mRNA expression, and one case had no detected MLSN-1 mRNA. In uveal melanomas, MLSN-1 mRNA expression was partially preserved in two cases, lost by a clearly delimited subset of tumor cells (focal clonal loss) in four cases, and was not detectable in the entire tumor in four cases. MLSN-1 mRNA expression was also found in the normal iris, ciliary and choroidal melanocytes as well as in the retinal pigmented epithelium and in the inner nuclear layer of the retina. Conclusions: The patterns of MLSN-1 mRNA expression in the ocular melanocytic proliferations are similar to those reported in cutaneous melanocytic proliferations. In the conjunctiva, MLSN-1 mRNA expression appeared to correlate with tumor progression; all the benign conjunctival nevi had preserved expression of MLSN-1 mRNA and most of the conjunctival melanomas partial or complete loss of expression. In uveal melanoma, patterns of melastatin expression ranging from partial preservation to complete loss were found. Additional studies of a large number of ocular melanocytic proliferations may show a correlation with tumor progression and prognosis similar to that observed in cutaneous melanoma.

Towards robust network based complex systems : from evolutionary cellular automata to biological models

Abstract Sitting between your past and your future doesn't mean you are in the present. Dakota Skye Complex systems science is an interdisciplinary field grouping under the same umbrella dynamical phenomena from social, natural or mathematical sciences. The emergence of a higher order organization or behavior, transcending that expected of the linear addition of the parts, is a key factor shared by all these systems. Most complex systems can be modeled as networks that represent the interactions amongst the system's components. In addition to the actual nature of the part's interactions, the intrinsic topological structure of underlying network is believed to play a crucial role in the remarkable emergent behaviors exhibited by the systems. Moreover, the topology is also a key a factor to explain the extraordinary flexibility and resilience to perturbations when applied to transmission and diffusion phenomena. In this work, we study the effect of different network structures on the performance and on the fault tolerance of systems in two different contexts. In the first part, we study cellular automata, which are a simple paradigm for distributed computation. Cellular automata are made of basic Boolean computational units, the cells; relying on simple rules and information from- the surrounding cells to perform a global task. The limited visibility of the cells can be modeled as a network, where interactions amongst cells are governed by an underlying structure, usually a regular one. In order to increase the performance of cellular automata, we chose to change its topology. We applied computational principles inspired by Darwinian evolution, called evolutionary algorithms, to alter the system's topological structure starting from either a regular or a random one. The outcome is remarkable, as the resulting topologies find themselves sharing properties of both regular and random network, and display similitudes Watts-Strogtz's small-world network found in social systems. Moreover, the performance and tolerance to probabilistic faults of our small-world like cellular automata surpasses that of regular ones. In the second part, we use the context of biological genetic regulatory networks and, in particular, Kauffman's random Boolean networks model. In some ways, this model is close to cellular automata, although is not expected to perform any task. Instead, it simulates the time-evolution of genetic regulation within living organisms under strict conditions. The original model, though very attractive by it's simplicity, suffered from important shortcomings unveiled by the recent advances in genetics and biology. We propose to use these new discoveries to improve the original model. Firstly, we have used artificial topologies believed to be closer to that of gene regulatory networks. We have also studied actual biological organisms, and used parts of their genetic regulatory networks in our models. Secondly, we have addressed the improbable full synchronicity of the event taking place on. Boolean networks and proposed a more biologically plausible cascading scheme. Finally, we tackled the actual Boolean functions of the model, i.e. the specifics of how genes activate according to the activity of upstream genes, and presented a new update function that takes into account the actual promoting and repressing effects of one gene on another. Our improved models demonstrate the expected, biologically sound, behavior of previous GRN model, yet with superior resistance to perturbations. We believe they are one step closer to the biological reality.

Earthquake impacts in old-growth Nothofagus forests in New Zealand

Six stands located on different land forms in mixed old-growth Nothofagus forests in the Matiri Valley (northwest of South Island. New Zealand) were sampled to examine the effects of two recent large earthquakes on tree establishment and tree-ring growth, and how these varied across land forms. 50 trees were cor ed in each stand to determine age structure and the cores were cross-dated to precisely date unusual periods of radial growth. The 1968 earthquake (M = 7.1, epicentre 35 km from the study area) had no discernible impact on the sampled stands. The impact of the 1929 earthquake (M = 7.7, epicentre 20 kin from the study area) varied between stands, depending on whether or not they had been damaged by soil or rock movement. In all stands, the age structures showed a pulse of N. fusca establishment following the 1929 earthquake, with this species dominating establishment in large gaps created by landslides. Smaller gaps, created by branch or tree death, were closed by both N. fusca and N. menziesii. The long period of releases (1929-1945) indicates that direct earthquake damage was not the only cause of tree death, and that many trees died subsequently most likely of pathogen attack or a drought in the early 1930s. The impacts of the 1929 earthquake are compared to a storm in 1905 and a drought in 1974-1978 which also affected forests in the region. Our results confirm that earthquakes are an important factor driving forest dynamics in this tectonically active region, and that the diversity of earthquake impacts is a major source of heterogeneity in forest structure and regeneration.

Conserving biodiversity in production landscapes.

Alternative land uses make different contributions to the conservation of biodiversity and have different implementation and management costs. Conservation planning analyses to date have generally assumed that land is either protected or unprotected, and that the unprotected portion does not contribute to conservation goals. We develop and apply a new planning approach that explicitly accounts for the contribution of a diverse range of land uses to achieving conservation goals. Using East Kalimantan (Indonesian Borneo) as a case study, we prioritize investments in alternative conservation strategies and account for the relative contribution of land uses ranging from production forest to well-managed protected areas. We employ data on the distribution of mammals and assign species-specific conservation targets to achieve equitable protection by accounting for life history characteristics and home range sizes. The relative sensitivity of each species to forest degradation determines the contribution of each land use to achieving targets. We compare the cost effectiveness of our approach to a plan that considers only the contribution of protected areas to biodiversity conservation, and to a plan that assumes that the cost of conservation is represented by only the opportunity costs of conservation to the timber industry. Our preliminary results will require further development and substantial stakeholder engagement prior to implementation; nonetheless we reveal that, by accounting for the contribution of unprotected land, we can obtain more refined estimates of the costs of conservation. Using traditional planning approaches would overestimate the cost of achieving the conservation targets by an order of magnitude. Our approach reveals not only where to invest, but which strategies to invest in, in order to effectively and efficiently conserve biodiversity.

Optimização de Células Fotovoltaicas

Perante os cenários do aumento da população mundial, da concentração de CO2, dos custos dos combustíveis, do consumo energético mundial e das alterações climáticas, surgiu a necessidade de encontrar fontes de energias alternativas. Neste contexto, a Energia Solar Fotovoltaica, fruto de investigações e investimentos realizados, teve um grande impacto na última década, registando um aumento significativo quer da produção de painéis fotovoltaicos ou de instalações de sistemas fotovoltaicos no Mundo. A Energia solar Fotovoltaica surge como uma energia alternativa limpa, inesgotável e que contribui para a diminuição do impacto ambiental, mas o elevado custo inicial é ainda um entrave à sua comercialização, sendo por isso importante conseguir uma optimização na produção dos painéis fotovoltaico bem como em instalações a fim de optimizar o seu rendimento. Um dos objectivos deste trabalho foi instalar e monitorizar um sistema fotovoltaico no telhado do laboratório de máquinas eléctricas do ISEL. Foi instalado um sistema com uma potência de 990 Watts. A monitorização dos módulos durante alguns períodos de 2011 e 2012 demonstraram um bom desempenho do sistema fotovoltaico instalado comparativamente aos valores estimados. Outro objectivo deste trabalho foi estudar a influência da temperatura no rendimento das células fotovoltaicas. A primeira fase deste estudo foi desenvolver um modelo matemático de uma célula fotovoltaica em Simulink/Matlab. As curvas obtidas da simulação numérica do modelo matemático permitiram observar e demonstrar a influência do aumento da temperatura das células fotovoltaicas na sua potência e rendimento. A segunda fase deste estudo tinha como objectivo comprovar experimentalmente o efeito da temperatura e analisar possíveis meios que permitissem refrigerar as células fotovoltaicas. Através de uma montagem experimental específica as células fotovoltaicas foram testadas num ambiente controlado. Os valores obtidos permitiram observar uma diminuição de cerca de 36% da temperatura das células utilizando refrigeração e consequente aumento do rendimento.

André spectral sequences for Baues-Wirsching cohomology of categories

We construct spectral sequences in the framework of Baues-Wirsching cohomology and homology for functors between small categories and analyze particular cases including Grothendieck fibrations. We also give applications to more classical cohomology and homology theories including Hochschild-Mitchell cohomology and those studied before by Watts, Roos, Quillen and others

Mir211 Is Dysregulated In Conjunctival Melanocytic proliferations

Purpose Downregulation of TRPM1 mRNA, a transient receptor potential cation channel, has been identified in highly metastatic cutaneous melanoma cell lines. TRPM1 mRNA expression is inversely correlated with skin melanoma metastases. Recent evidence has demonstrated that the tumor suppressive activity of TRPM1 is due to miR211 situated in intron 6 of TRPM1. As we have previously identified a downregulation of TRPM1 mRNA expression in conjunctival melanoma, we decided to assess miR211 expression and its potential target gene IGF2R and KCNMA1 in conjunctival melanocytic proliferations. As MITF has been shown to regulate both TRPM1 and mir211 expression, we also assessed MITF expression in our series. Methods Expression of miR211 was assessed by in situ hybridization in 14 conjunctival naevi and 14 conjunctival melanoma. Integrity of miRNA in tissues was evaluated in each sample with the preservation of miR126 expression in endothelial cells. Protein expression of MITF, IGF2R and KCNMA1 was assessed by immunohistochemistry. Statistical analysis was performed with JUMP 8,0 software. In situ hybridization and immunohistochemistry were assessed independently by two observers. Results There were 7 subepithelial nevi and 7 compound nevi. There were 5 female and 9 male. The population mean age was 48.7 ± 6.4 years (SEM). miR211 was found in 11 nevi (79%). MITF was expressed in all the nevi. IGF2R was found in 13 nevi. KCNMA1 was found in 57% of the nevi.The melanoma group was composed of 9 females and 5 males with a mean age of 67 ± 4.8 years (SEM). Using the recent TNM classification, 5 tumors were belonging to the T1, 3 to theT2 and 6 to the T3 categories. miR211 was found in 5 melanoma (36%). There was a significant downregulation of miR211 in the melanoma compared to the nevi (p=0,0219). MITF was found in 13 melanoma (93%). IGF2R and KCNMA1 were respectively found in 71% and 77% of the melanoma. There was no significant differential expression of MITF, KCNMA1 and IGF2R between the nevi and the melanoma as well as no association between miR211 expression and protein expression of two potential target genes Conclusions In vivo miR211 is significantly reduced in conjunctival melanoma compared to conjunctival nevi. No correlation between mir211 expression and two potential target genes KCNMA1 and IGF2R was observed.