452 research outputs found
Mam: museum for a metropolis
No full textEste estudo examina as atividades iniciais do Museu de Arte Moderna de São Paulo (MAM) em face das questões culturais paulistanas no segundo pós-guerra, trazendo à tona a contribuição de personagens normalmente colocados num segundo plano quando da descrição freqüente do perído auroreal da entidade: os arquitetos e intelectuais envolvidos em tal tarefa. A escolha busca tirar do foco a análise do Museu como uma entidade única e estelar, para inserí-lo numa trama de vários acontecimentos e instituições, propiciadas pelos agentes participantes e pela possibilidade de diálogo motivada por sua localização física: o centro da Paulicéia no final dos anos 1940 e em grande parte da década seguinte, investigando as relações entre o espaço cultural da cidade e o MAM construção de um projeto moderno pela via institucional.This study examines the initial activities of the Museu de Arte Moderna (MAM) de São Paulo in context of the citys cultural questions after the II World War, showing contributions of actors, who are often placed in the background during the description of early years of the Museum: architects and intellectuals. This choice avoids to analyse the Museum like a main and isolated entity to insert it in an ensemble of several events and institutions generated by whom that participate in the creation of MAM and by possibility of dialogue due to its physical localization: the São Paulos downtown in later 1940 and 1950. The author investigates the relationships between São Paulos cultural environment and MAM construction of a modern project by institutional pathway
Mam: museum for a metropolis
No full textEste estudo examina as atividades iniciais do Museu de Arte Moderna de São Paulo (MAM) em face das questões culturais paulistanas no segundo pós-guerra, trazendo à tona a contribuição de personagens normalmente colocados num segundo plano quando da descrição freqüente do perído auroreal da entidade: os arquitetos e intelectuais envolvidos em tal tarefa. A escolha busca tirar do foco a análise do Museu como uma entidade única e estelar, para inserí-lo numa trama de vários acontecimentos e instituições, propiciadas pelos agentes participantes e pela possibilidade de diálogo motivada por sua localização física: o centro da Paulicéia no final dos anos 1940 e em grande parte da década seguinte, investigando as relações entre o espaço cultural da cidade e o MAM construção de um projeto moderno pela via institucional.This study examines the initial activities of the Museu de Arte Moderna (MAM) de São Paulo in context of the citys cultural questions after the II World War, showing contributions of actors, who are often placed in the background during the description of early years of the Museum: architects and intellectuals. This choice avoids to analyse the Museum like a main and isolated entity to insert it in an ensemble of several events and institutions generated by whom that participate in the creation of MAM and by possibility of dialogue due to its physical localization: the São Paulos downtown in later 1940 and 1950. The author investigates the relationships between São Paulos cultural environment and MAM construction of a modern project by institutional pathway
CARBO: Clustering and rotation based oversampling for class imbalance learning
No full textClass imbalance of a data set is a crucial problem in machine learning where one class significantly outnumbers others. In such a data set, classification is a troublesome task for the standard classification algorithms, leading to bias towards the majority class. Different methods have been developed so far, such as oversampling, undersampling, and cost-sensitive learning, to deal with class imbalance circumstances. Among these techniques, oversampling technique does not suffer from the information loss and critical cost selection challenges. However, appropriate synthetic sample generation can be challenging and vulnerable to privacy leakage. This research proposed an oversampling technique, called CARBO, using threshold-based geometric rotation and majority class influenced clustering. Unlike the existing resampling approaches to class imbalance problem, we contribute to consider the data privacy and optimal sample generation together for effective oversampling. The performance of CARBO is evaluated using 44 benchmark imbalanced data set. The empirical analysis elucidates that CARBO can make boosting-based C4.5 ensemble classifiers perform higher for 73% of the data set than six state-of-the-art approaches. In addition, the theoretical compatibility analysis of CARBO demonstrates its robustness.No Full Tex
A stacked meta-ensemble for protein inter-residue distance prediction
No full textPredicted inter-residue distances are a key behind recent success in high quality protein structure prediction (PSP). However, prediction of both short and long distance values together is challenging. Consequently, predicted short distances are mostly used by existing PSP methods. In this paper, we use a stacked meta-ensemble method to combine deep learning models trained for different ranges of real-valued distances. On five benchmark sets of proteins, our proposed inter-residue distance prediction method improves mean Local Distance Different Test (LDDT) scores at least by 5% over existing such methods. Moreover, using a real-valued distance based conformational search algorithm, we also show that predicted long distances help obtain significantly better protein conformations than when only predicted short distances are used. Our method is named meta-ensemble for distance prediction (MDP) and its program is available from https://gitlab.com/mahnewton/mdp.No Full Tex
Comparative analysis the performance of AODV, DSDV and DSR routing protocols in wireless sensor network
No full textIn this paper, we have analysed the comparative performance of AODV, DSDV and DSR routing protocols in different wireless sensor network scenarios (i.e. scenarios where number of nodes changes or mobility of nodes changes). The performance matrix includes Packet Delivery Ratio, Throughput, End to End Delay, and Normalized Routing Load. We mainly try to address the behaviour of the protocols in different scenarios. Simulation results show that different routing protocol performs well in different scenarios and good for specific performance metrics. For example, DSDV perform better in the high density networks or the network with strict requirement on time whereas DSR performs well in smaller network. AODV is more adaptable in the networks with high throughputs and preferable for low loss rate environment. © 2012 IEEE.No Full Tex
MDGA1, an IgSF molecule containing a MAM domain, heterophilically associates with axon- and muscle-associated binding partners through distinct structural domains.
No full textMolecules belonging to the immunoglobulin superfamily (IgSF) are reported to be involved in intercellular communication in the developing nervous system. We have identified a novel GPI-anchored IgSF molecule containing a MAM (meprin, A5 protein, PTPμ) domain, named MDGA1, by screening for genes that are expressed by subpopulations of cells in the embryonic chick spinal cord. MDGA1 is selectively expressed by brachial LMCm motor neurons, some populations of DRG neurons, and interneurons. We found that MDGA1 interacts heterophilically with axon-rich regions, mainly through its MAM domain. Interestingly, MDGA1 also interacts with differentiating muscle through its N-terminal region, which contains Ig domains. These results suggest that MDGA1 functions in MDGA1-expressing nerves en route to and at their target site
A comparative analysis of band selection techniques for hyperspectral image classification
No full textFinding an optimal subspace of bands that has the most expressive power for classifying hyperspectral image has been very challenging task due to its insufficient number of training pixels with respect to large number of bands. Feature reduction is considered a promising solution in this type of task. However, it is very hard to select an optimal feature reduction technique which is effective as well as computationally efficient in case of hyperspectral image classification. Moreover, it becomes challenging when the number of training pixels of a class is not sufficient. In this paper, we have rigorously studied some feature selection techniques for reducing spectral dimension by considering all the classes in hyperspectral image on a benchmark data set. We have projected that this study will be very supportive for further study on band selection and hyperspectral image classification.No Full Tex
A strategic road map for conserving the Endangered dhole Cuon alpinus in India
No full textThis is the peer reviewed version of the following article: [A strategic road map for conserving the Endangered dhole Cuon alpinus in India. Mammal Review 50, 4 p399-412 (2020)], which has been published in final form at https://doi.org/10.1111/mam.12209. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions: https://authorservices.wiley.com/author-resources/Journal-Authors/licensing/self-archiving.html#3.
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Bioinformatics' approaches to detect genetic variation in whole genome sequencing data
No full textCurrent genetic marker repositories are not sufficient or even are completely lacking for most farm animals. However, genetic markers are essential for the development of a research tool facilitating discovery of genetic factors that contribute to resistance to disease and the overall welfare and performance in farm animals. By large scale identification of Single Nucleotide Polymorphisms (SNPs) and Structural Variants (SVs) we aimed to contribute to the development of a repository of genetic variants for farm animals. For this purpose bioinformatics data pipelines were designed and validated to address the challenge of the cost effective identification of genetic markers in DNA sequencing data even in absence of a fully sequenced reference genome. To find SNPs in pig, we analysed publicly available whole genome shotgun sequencing datasets by sequence alignment and clustering. Sequence clusters were assigned to genomic locations using publicly available BAC sequencing and BAC mapping data. Within the sequence clusters thousands of SNPs were detected of which the genomic location is roughly known. For turkey and duck, species that both were lacking a sufficient sequence data repository for variant discovery, we applied next-generation sequencing (NGS) on a reduced genome representation of a pooled DNA sample. For turkey a genome reference was reconstructed from our sequencing data and available public sequencing data whereas in duck the reference genome constructed by a (NGS) project was used. SNPs obtained by our cost-effective SNP detection procedure still turned out to cover, at intervals, the whole turkey and duck genomes and are of sufficient quality to be used in genotyping studies. Allele frequencies, obtained by genotyping animal panels with a subset our SNPs, correlated well with those observed during SNP detection. The availability of two external duck SNP datasets allowed for the construction of a subset of SNPs which we had in common with these sets. Genotyping turned out that this subset was of outstanding quality and can be used for benchmarking other SNPs that we identified within duck. Ongoing developments in (NGS) allowed for paired end sequencing which is an extension on sequencing analysis that provides information about which pair of reads are coming from the outer ends of one sequenced DNA fragment. We applied this technique on a reduced genome representation of four chicken breeds to detect SVs. Paired end reads were mapped to the chicken reference genome and SVs were identified as abnormally aligned read pairs that have orientation or span sizes discordant from the reference genome. SV detection parameters, to distinguish true structural variants from false positives, were designed and optimized by validation of a small representative sample of SVs using PCR and traditional capillary sequencing. To conclude: we developed SNP repositories which fulfils a requirement for SNPs to perform linkage analysis, comparative genomics QTL studies and ultimately GWA studies in a range of farm animals. We also set the first step in developing a repository for SVs in chicken, a relatively new genetic marker in animal sciences. <br/
AGU hydrology days 2007
No full text2007 annual AGU hydrology days was held at Colorado State University on March 19 - March 21, 2007.Includes bibliographical references.Effects of land cover change over the Indian subcontinent during the preceding March through May (MAM) on early Indian summer monsoon (ISM) rainfall were examined using the Normalized Difference Vegetation Index (NDVI) and Global Precipitation Climatology Project precipitation for the period of 1982~2003. MAM NDVI anomalies have increased significantly in western and northern India. NDVI anomalies are correlated with the decreasing trend of early ISM rainfall. Decreasing rainfall originates from the decreased land-sea thermal contrast, which is due to the decreasing trend of July sensible heat flux in central and northern India. This is related to the increase in the preceding MAM NDVI anomalies because early ISM rainfall is significantly and negatively correlated with the standardized principal component of the first leading empirical orthogonal function for the preceding MAM NDVI anomalies. Also, composite differences of early ISM rainfall for the five years of highest and of lowest MAM NDVI anomalies demonstrate that early ISM rainfall is significantly less for the years of highest MAM NDVI anomalies. Composite differences of wind vectors and divergence in the upper level also support the conclusion that the weak early Indian summer monsoonal circulation is due to the increase in land cover during the preceding spring, which would promote an increase in latent heat flux and a decrease in sensible heat flux thereby favoring a reduced horizontal temperature gradient
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