Intersexual and spatial heterogeneity in trophic attributes of the sleeper, Bostrychus africanus (Eleotridae) in the Qua Iboe Estuary, Nigeria

There was variation in the ingestion of the food objects by the sexes. Despite the similarity in rank-order of the food objects, the ingestion of the objects vary significantly (rg=0.320, P>0.05). Dipterans adult and Hymenoptera were the only food objects not eaten by the males whereas insect remains and unidentified bivalves were absent from the trophics spectrum of the females. There was significant increase in feeding intensity by females than males. There was significant increase in GRI by specimens from Nipa Creek whereas individuals from mangrove creek recorded higher MGF and vice-versa. Dipterans adult. Hymenoptera, insect remains, Neritina glabrata and unid bivalves were absent from dietaries for nipa creek whereas a complete array of the food objects were eaten in the mangrove creek. The present findings highlights the importance of the mangrove ecosystem as the native vegetation encompassing great diversity of food resources and living conditions than the succeeding alien nipa vegetation

O papel do capital incorporador e do Estado na produção de moradias e reestruturação urbana do bairro de Campo Grande - Rio de Janeiro

A presente pesquisa busca compreender o papel do Estado e do Capital Incorporador no processo de reestruturação urbana do bairro de Campo Grande, na cidade do Rio de Janeiro, através da produção de moradias. Para isto, parte das reflexões sobre a atuação destes dois agentes. O incorporador como responsável pela construção e comercialização de habitações, e o Estado apresentado como medidor de conflitos e provedor de políticas públicas voltadas para a requalificação urbana e solução da questão habitacional. Ambos, também agem no processo de valorização, onde a produção da mercadoria solo urbano e a renda da terra são atributos herdados pela ação destes agentes. Neste sentido, a expansão do capital de incorporação com o auxilio do Estado, principalmente com o advento do Programa Minha Casa, Minha vida, estimulou o crescimento da atuação do mercado imobiliário no bairro. Como fatores atrativos estimulado pelos investidores estão a importante centralidade construída ao longo do tempo e o atual e futuro subcentro planejado, ou seja, os shoppings West Shopping e o ParkShopping Campo Grande. Contudo, este processo de expansão imobiliária em curso no bairro vem atraindo novos moradores e maior atuação do capital privado, como a construção de torres empresariais.

Lançamentos imobiliários na Freguesia: consumo da habitação na hipermodernidade. O marketing do discurso verde de do lazer

A Freguesia de Jacarepaguá, do Rio de Janeiro, nos últimos cinco anos recebeu mais de 80 lançamentos. Juntamente com a Barra da Tijuca, vem sendo um dos principais alvos do mercado imobiliário carioca, correspondendo a 95% das construções da cidade. Tornou-se bairro na década de 1980. Nas últimas décadas, tem sido foco de expansão urbana. Foi escolhida como espaço privilegiado para a análise das construções e práticas discursivas do mercado imobiliário. O objetivo foi entender o processo de comercialização e lançamento das habitações. Anúncios e materiais de propaganda de 52 empreendimentos permitiram identificar 21 grupos de discursos, ancorados em enunciados e imagens do verde, de famílias felizes e inúmeros itens de lazer que se constituíram em objetos de análise. Novos conceitos e produtos habitacionais são postos no mercado com o uso de inúmeras táticas e estratégias, embasadas no imaginário carioca do verde local e no ideário da casa própria. O marketing dos discursos é utilizado como produtor de sentido sobre o consumidor, sujeito urbano hipermoderno, desejoso de segurança, maior qualidade de vida, sustentabilidade, novos luxos e facilidades a sua disposição. O discurso sedutor é voltado para uma sociedade de consumo, onde inovações mercadológicas, crescentes facilidades financeiras e de crédito fomentam e retroalimentam o desejo e o sonho da casa própria. O crescente número de unidades lançadas estimula a concorrência, assume o posto de investimento lucrativo e fomenta a lógica de uma economia neoliberal. Paradoxalmente, destrói a casa-oïkos planetária. A nova habitação ganha itens ecoeficientes, certificações ecológicas e itens de entretenimento, serviços e lazer que extrapolam as necessidades básicas de abrigo e proteção para atingir o encantamento e o novo status do público alvo: o consumidor da classe média. Surgem novos conceitos de moradia, spas, clubes e boutiques. O mundo urbano é transportado para dentro dos muros. O espaço da habitação ganha inúmeros atributos de distinção e consumo. Desta forma, o produto habitação assume definitivamente a categoria de bem de consumo.

Statistical quality control charts on attributes in fish processing technology

Apart from the use of statistical quality control chart for variables or attributes of food products in a food processing industry, the application of these charts for attributes of fishery products is explained. Statistical quality control chart for fraction defectives is explained by noting defective fish sausages per shift from a sausage industry while control chart for number of defectives is illustrated for number of defective fish cans in each hour of its production of a canning industry. C-chart is another type of control chart which is explained here for number of defects per single fish fillet sampled a1l random for every five minutes in a processing industry. These statistical quality control charts help in the more economic use of resource, time and labour than control charts for variables of products. Also control charts for attributes exhibit the quality history of finished products at different times of production thereby minimizing the risk of consumer rejection.

Reinforcement-related neurons in the primate basal forebrain respond to the learned significance of task events rather than to the hedonic attributes of reward

The objective of this study was to determine if the responses of basal forebrain neurons are related to the cognitive processes necessary for the performance of behavioural tasks, or to the hedonic attributes of the reinforcers delivered to the monkey as

Integrating design attributes, knowledge and uncertainty in aerospace sector

The delivery of integrated product and service solutions is growing in the aerospace industry, driven by the potential of increasing profits. Such solutions require a life cycle view at the design phase in order to support the delivery of the equipment. The influence of uncertainty associated with design for services is increasingly a challenge due to information and knowledge constraints. There is a lack of frameworks that aim to define and quantify relationship between information and knowledge with uncertainty. Driven by this gap, the paper presents a framework to illustrate the link between uncertainty and knowledge within the design context for services in the aerospace industry. The paper combines industrial interaction and literature review to initially define the design attributes, the associated knowledge requirements and the uncertainties experienced. The framework is then applied in three cases through development of causal loop models (CLMs), which are validated by industrial and academic experts. The concepts and inter-linkages are developed with the intention of developing a software prototype. Future recommendations are also included. © 2014 CIRP.

Semantic transform: Weakly supervised semantic inference for relating visual attributes

Relative (comparative) attributes are promising for thematic ranking of visual entities, which also aids in recognition tasks. However, attribute rank learning often requires a substantial amount of relational supervision, which is highly tedious, and apparently impractical for real-world applications. In this paper, we introduce the Semantic Transform, which under minimal supervision, adaptively finds a semantic feature space along with a class ordering that is related in the best possible way. Such a semantic space is found for every attribute category. To relate the classes under weak supervision, the class ordering needs to be refined according to a cost function in an iterative procedure. This problem is ideally NP-hard, and we thus propose a constrained search tree formulation for the same. Driven by the adaptive semantic feature space representation, our model achieves the best results to date for all of the tasks of relative, absolute and zero-shot classification on two popular datasets. © 2013 IEEE.

Discriminative Orthogonal Neighborhood-Preserving Projections for Classification

Orthogonal neighborhood-preserving projection (ONPP) is a recently developed orthogonal linear algorithm for overcoming the out-of-sample problem existing in the well-known manifold learning algorithm, i.e., locally linear embedding. It has been shown that ONPP is a strong analyzer of high-dimensional data. However, when applied to classification problems in a supervised setting, ONPP only focuses on the intraclass geometrical information while ignores the interaction of samples from different classes. To enhance the performance of ONPP in classification, a new algorithm termed discriminative ONPP (DONPP) is proposed in this paper. DONPP 1) takes into account both intraclass and interclass geometries; 2) considers the neighborhood information of interclass relationships; and 3) follows the orthogonality property of ONPP. Furthermore, DONPP is extended to the semisupervised case, i.e., semisupervised DONPP (SDONPP). This uses unlabeled samples to improve the classification accuracy of the original DONPP. Empirical studies demonstrate the effectiveness of both DONPP and SDONPP.

基于MRF模型的油气储层属性随机建模方法研究

Stochastic reservoir modeling is a technique used in reservoir describing. Through this technique, multiple data sources with different scales can be integrated into the reservoir model and its uncertainty can be conveyed to researchers and supervisors. Stochastic reservoir modeling, for its digital models, its changeable scales, its honoring known information and data and its conveying uncertainty in models, provides a mathematical framework or platform for researchers to integrate multiple data sources and information with different scales into their prediction models. As a fresher method, stochastic reservoir modeling is on the upswing. Based on related works, this paper, starting with Markov property in reservoir, illustrates how to constitute spatial models for catalogued variables and continuum variables by use of Markov random fields. In order to explore reservoir properties, researchers should study the properties of rocks embedded in reservoirs. Apart from methods used in laboratories, geophysical means and subsequent interpretations may be the main sources for information and data used in petroleum exploration and exploitation. How to build a model for flow simulations based on incomplete information is to predict the spatial distributions of different reservoir variables. Considering data source, digital extent and methods, reservoir modeling can be catalogued into four sorts: reservoir sedimentology based method, reservoir seismic prediction, kriging and stochastic reservoir modeling. The application of Markov chain models in the analogue of sedimentary strata is introduced in the third of the paper. The concept of Markov chain model, N-step transition probability matrix, stationary distribution, the estimation of transition probability matrix, the testing of Markov property, 2 means for organizing sections-method based on equal intervals and based on rock facies, embedded Markov matrix, semi-Markov chain model, hidden Markov chain model, etc, are presented in this part. Based on 1-D Markov chain model, conditional 1-D Markov chain model is discussed in the fourth part. By extending 1-D Markov chain model to 2-D, 3-D situations, conditional 2-D, 3-D Markov chain models are presented. This part also discusses the estimation of vertical transition probability, lateral transition probability and the initialization of the top boundary. Corresponding digital models are used to specify, or testify related discussions. The fifth part, based on the fourth part and the application of MRF in image analysis, discusses MRF based method to simulate the spatial distribution of catalogued reservoir variables. In the part, the probability of a special catalogued variable mass, the definition of energy function for catalogued variable mass as a Markov random field, Strauss model, estimation of components in energy function are presented. Corresponding digital models are used to specify, or testify, related discussions. As for the simulation of the spatial distribution of continuum reservoir variables, the sixth part mainly explores 2 methods. The first is pure GMRF based method. Related contents include GMRF model and its neighborhood, parameters estimation, and MCMC iteration method. A digital example illustrates the corresponding method. The second is two-stage models method. Based on the results of catalogued variables distribution simulation, this method, taking GMRF as the prior distribution for continuum variables, taking the relationship between catalogued variables such as rock facies, continuum variables such as porosity, permeability, fluid saturation, can bring a series of stochastic images for the spatial distribution of continuum variables. Integrating multiple data sources into the reservoir model is one of the merits of stochastic reservoir modeling. After discussing how to model spatial distributions of catalogued reservoir variables, continuum reservoir variables, the paper explores how to combine conceptual depositional models, well logs, cores, seismic attributes production history.