The identity of crop pollinators helps target conservation for improved ecosystem services

Insect pollinated mass flowering crops are becoming more widespread and there is a need to understand which insects are primarily responsible for the pollination of these crops so conservation measures can be appropriately targeted in the face of pollinator declines. This study used field surveys in conjunction with cage manipulations to identify the relative contributions of different pollinator taxa to the pollination of two widespread flowering crops, field beans and oilseed rape. Flower visiting pollinator communities observed in the field were distinct for each crop; while field beans were visited primarily by a few bumblebee species, multiple pollinator taxa visited oilseed, and the composition of this pollinator community was highly variable spatially and temporally. Neither pollinator community, however, appears to be meeting the demands of crops in our study regions. Cage manipulations showed that multiple taxa can effectively pollinate both oilseed and field beans, but bumblebees are particularly effective bean pollinators. Combining field observations and cage manipulations demonstrated that the pollination demands of these two mass flowering crops are highly contrasting, one would benefit from management to increase the abundance of some key taxa, whilst for the other, boosting overall pollinator abundance and diversity would be more appropriate. Our findings highlight the need for crop specific mitigation strategies that are targeted at conserving specific pollinator taxa (or group of taxa) that are both active and capable of crop pollination in order to reduce pollination deficits and meet the demands of future crop production.

Climate-driven spatial mismatches between British orchards and their pollinators: increased risks of pollination deficits

Understanding how climate change can affect crop-pollinator systems helps predict potential geographical mismatches between a crop and its pollinators, and therefore identify areas vulnerable to loss of pollination services. We examined the distribution of orchard species (apples, pears, plums and other top fruits) and their pollinators in Great Britain, for present and future climatic conditions projected for 2050 under the SRES A1B Emissions Scenario. We used a relative index of pollinator availability as a proxy for pollination service. At present there is a large spatial overlap between orchards and their pollinators, but predictions for 2050 revealed that the most suitable areas for orchards corresponded to low pollinator availability. However, we found that pollinator availability may persist in areas currently used for fruit production, but which are predicted to provide sub-optimal environmental suitability for orchard species in the future. Our results may be used to identify mitigation options to safeguard orchard production against the risk of pollination failure in Great Britain over the next 50 years; for instance choosing fruit tree varieties that are adapted to future climatic conditions, or boosting wild pollinators through improving landscape resources. Our approach can be readily applied to other regions and crop systems, and expanded to include different climatic scenarios.

Global networks, cities and economic performance: Observations from an analysis of cities in Europe and the USA

The network paradigm has been highly influential in spatial analysis in the globalisation era. As economies across the world have become increasingly integrated, so-called global cities have come to play a growing role as central nodes in the networked global economy. The idea that a city’s position in global networks benefits its economic performance has resulted in a competitive policy focus on promoting the economic growth of cities by improving their network connectivity. However, in spite of the attention being given to boosting city connectivity little is known about whether this directly translates to improved city economic performance and, if so, how well connected a city needs to be in order to benefit from this. In this paper we test the relationship between network connectivity and economic performance between 2000 and 2008 for cities with over 500,000 inhabitants in Europe and the USA to inform European policy.

ENSO and greenhouse warming

The El Niño/Southern Oscillation (ENSO) is the dominant climate phenomenon affecting extreme weather conditions worldwide. Its response to greenhouse warming has challenged scientists for decades, despite model agreement on projected changes in mean state. Recent studies have provided new insights into the elusive links between changes in ENSO and in the mean state of the Pacific climate. The projected slow-down in Walker circulation is expected to weaken equatorial Pacific Ocean currents, boosting the occurrences of eastward-propagating warm surface anomalies that characterize observed extreme El Niño events. Accelerated equatorial Pacific warming, particularly in the east, is expected to induce extreme rainfall in the eastern equatorial Pacific and extreme equatorward swings of the Pacific convergence zones, both of which are features of extreme El Niño. The frequency of extreme La Niña is also expected to increase in response to more extreme El Niños, an accelerated maritime continent warming and surface-intensified ocean warming. ENSO-related catastrophic weather events are thus likely to occur more frequently with unabated greenhouse-gas emissions. But model biases and recent observed strengthening of the Walker circulation highlight the need for further testing as new models, observations and insights become available.

Immune Responses and Therapeutic Antitumor Effects of an Experimental DNA Vaccine Encoding Human Papillomavirus Type 16 Oncoproteins Genetically Fused to Herpesvirus Glycoprotein D

Recombinant adenovirus or DNA vaccines encoding herpes simplex virus type 1 (HSV-1) glycoprotein D (gD) genetically fused to human papillomavirus type 16 (HPV-16) oncoproteins (E5, E6, and E7) induce antigen-specific CD8(+) T-cell responses and confer preventive resistance to transplantable murine tumor cells (TC-1 cells). In the present report, we characterized some previously uncovered aspects concerning the induction of CD8(+) T-cell responses and the therapeutic anticancer effects achieved in C57BL/6 mice immunized with pgD-E7E6E5 previously challenged with TC-1 cells. Concerning the characterization of the immune responses elicited in mice vaccinated with pgD-E7E6E5, we determined the effect of the CD4(+) T-cell requirement, longevity, and dose-dependent activation on the E7-specific CD8(+) T-cell responses. In addition, we determined the priming/boosting properties of pgD-E7E6E5 when used in combination with a recombinant serotype 68 adenovirus (AdC68) vector encoding the same chimeric antigen. Mice challenged with TC-1 cells and then immunized with three doses of pgD-E7E6E5 elicited CD8(+) T-cell responses, measured by intracellular gamma interferon (IFN-gamma) and CD107a accumulation, to the three HPV-16 oncoproteins and displayed in vivo antigen-specific cytolytic activity, as demonstrated with carboxyfluorescein diacetate succinimidyl ester (CFSE)-labeled target cells pulsed with oligopeptides corresponding to the H-2D(b)-restricted immunodominant epitopes of the E7, E6, or E5 oncoprotein. Up to 70% of the mice challenged with 5 x 10(5) TC-1 cells and immunized with pgD-E7E6E5 controlled tumor development even after 3 days of tumor cell challenge. In addition, coadministration of pgD-E7E6E5 with DNA vectors encoding pGM-CSF or interleukin-12 (IL-12) enhanced the therapeutic antitumor effects for all mice challenged with TC-1 cells. In conclusion, the present results expand our previous knowledge on the immune modulation properties of the pgD-E7E6E5 vector and demonstrate, for the first time, the strong antitumor effects of the DNA vaccine, raising promising perspectives regarding the development of immunotherapeutic reagents for the control of HPV-16-associated tumors.

Naturally acquired inhibitory antibodies to Plasmodium vivax Duffy binding protein are short-lived and allele-specific following a single malaria infection

The Duffy binding protein of Plasmodium vivax (DBP) is a critical adhesion ligand that participates in merozoite invasion of human Duffy-positive erythrocytes. A small outbreak of P. vivax malaria, in a village located in a non-malarious area of Brazil, offered us an opportunity to investigate the DBP immune responses among individuals who had their first and brief exposure to malaria. Thirty-three individuals participated in the five cross-sectional surveys, 15 with confirmed P. vivax infection while residing in the outbreak area (cases) and 18 who had not experienced malaria (non-cases). In the present study, we found that only 20% (three of 15) of the individuals who experienced their first P. vivax infection developed an antibody response to DBP; a secondary boosting can be achieved with a recurrent P. vivax infection. DNA sequences from primary/recurrent P. vivax samples identified a single dbp allele among the samples from the outbreak area. To investigate inhibitory antibodies to the ligand domain of the DBP (cysteine-rich region II, DBP(II)), we performed in vitro assays with mammalian cells expressing DBP(II) sequences which were homologous or not to those from the outbreak isolate. In non-immune individuals, the results of a 12-month follow-up period provided evidence that naturally acquired inhibitory antibodies to DBP(II) are short-lived and biased towards a specific allele.

Machine Learning Algorithms in Heavy Process Manufacturing

In a global economy, manufacturers mainly compete with cost efficiency of production, as the price of raw materials are similar worldwide. Heavy industry has two big issues to deal with. On the one hand there is lots of data which needs to be analyzed in an effective manner, and on the other hand making big improvements via investments in cooperate structure or new machinery is neither economically nor physically viable. Machine learning offers a promising way for manufacturers to address both these problems as they are in an excellent position to employ learning techniques with their massive resource of historical production data. However, choosing modelling a strategy in this setting is far from trivial and this is the objective of this article. The article investigates characteristics of the most popular classifiers used in industry today. Support Vector Machines, Multilayer Perceptron, Decision Trees, Random Forests, and the meta-algorithms Bagging and Boosting are mainly investigated in this work. Lessons from real-world implementations of these learners are also provided together with future directions when different learners are expected to perform well. The importance of feature selection and relevant selection methods in an industrial setting are further investigated. Performance metrics have also been discussed for the sake of completion.

Modelos de avaliação escolar utilizados em sala de aula - uma análise nos cursos de administração da Universidade Federal do Espírito Santo (UFES) e de uma faculdade particular : insumos para o aperfeiçoamento da gestão educacional

O estudo, primeiramente, delimita dois modelos de avaliação do aluno em sala de aula: um não-tradicional - que, inserido no processo de ensino, busca potencializar a aprendizagem - e outro tradicional - que está mais preocupado com a verificação de conhecimentos adquiridos. Constata, por meio de entrevistas com professores de uma instituição pública e outra privada, que entres esses dois modelos nenhum é predominante nos cursos de administração. Conclui que os professores que adotam práticas nãotradicionais de avaliação estão mais satisfeitos com os resultados alcançados, pois percebem que a avaliação contribui para a aprendizagem do aluno não se resumindo a um retrato pontual do seu desenvolvimento ou, como constatado entre outros professores, a um instrumento para pressionar e disciplinar. Ainda, constatou-se que as instituições influenciam a forma como os professores avaliam, em alguns casos determinando inclusive quando e como (instrumento) avaliar. Outros fatores também contribuem para dificultar práticas avaliativas não tradicionais, entre eles, a necessidade de os professores lecionarem em mais de uma instituição e a quantidade de turmas e disciplinas em que lecionam, o que faz com que haja pouco tempo para pensar e planejar, além de estar acontecendo o aumento do número de alunos por classe, o que faz com que diminua o contato professoraluno. Conhecer ambos os modelos e os fatores que influenciam o agir em relação à avaliação serve como base para repensar a prática dos professores e como insumo para o aperfeiçoamento da gestão educacional.

Uma abordagem teórica de empresas familiares: desafios e oportunidades

This paper aims at boosting a theoretical discussion on family operated companies in the Brazilian milieu. The methodology applied was based on bibliographical and qualitative research. The basic question raised by this study can be summarized as follows: Which factors should be taken into consideration, on the family business management, under a theoretical perspective? The answer to this question led the research to a better understanding of (i) the family corporate governance; (ii) the personal characteristics of the family business manager and his/her management style; (iii) the company's teamwork; (iv) role overlaping; (v) strategic direction and management assessment; (vi) the company's administrative divisions; (vii) and above all the crucial importance of the corporate governance for family businesses. The main results confirm the relevance of corporate governance in the country's big family businesses, and also point to manager's profile, teamwork, role overlaping (relatives & employees) and its conflicts, management departments, family's control and its strategic direction as ingredients of utmost importance.

Food waste in lower-middle income households: a qualitative analysis of antecedents and a typology of food wasters

Esta dissertação doutoral, com base em dados empíricos coletados com 50 mães distribuídas no Brasil (n = 30) e nos EUA (n = 20), tem como objetivo fornecer uma melhor compreensão do desperdício de alimento no contexto da baixa renda. A tese é composta por três artigos, que combinados, cumprem os objetivos de identificar os antecedentes do desperdício de alimento e delinear uma tipologia dos desperdiçadores de alimento. Adicionalmente, contextualiza o desperdício global e um capítulo propõe uma agenda futura para estudos sobre desperdício de alimento no âmbito do consumidor. O desperdício de alimento nas famílias, enquanto tema de pesquisa, oferece a oportunidade para o trabalho acadêmico em marketing cumprir os critérios de relevância social, gerencial e para políticas públicas. No primeiro estudo, descrevem-se os fatores do chamado "paradoxo do desperdício de alimento", a identificação e análise do desperdício de alimento em famílias com restrições orçamentárias, enquanto apresentam-se o itinerário do consumo de alimentos e os antecedentes do desperdício. Este primeiro artigo, elaborado com dados coletados em famílias brasileiras, ilustra também o papel das normas culturais, tais como o preparo abundante de alimento para mostrar hospitalidade ou como forma de não ser percebido como pobre, no aumento do desperdício. No segundo artigo, uma grounded-theory (teoria fundamentada nos dados) destaca o papel do afeto e da abundância no desperdício de alimento familiar. Para enriquecer as contribuições teóricas, este segundo estudo apresenta um framework com seis dimensões do desperdício de alimento (1. Afeto; 2. Abundância; 3. Multiplicidade de escolhas; 4. Conveniência; 5. Procrastinação; 6. Rotina sem planejamento). Baseado em dados empíricos coletados em famílias americanas, este estudo proporciona novas explicações, a exemplo de como o estoque abundante de comfort foods - uma forma de impulsionar tanto emoções positivas para si quanto mostrar afeto para crianças – pode gerar mais desperdício de alimentos. Em síntese, o segundo artigo identifica uma consequência negativa do afeto e da abundância de alimentos no contexto familiar, e apresenta um framework teoricamente relevante. Finalmente, o terceiro artigo, a partir do conjunto de dados dos estudos anteriores e de nova coleta com dez famílias, propõe uma tipologia comportamental do desperdício de alimento, uma contribuição original aos estudos de comportamento do consumidor. A identificação de cinco tipos de desperdiçadores de alimentos - (1) Mães carinhosas; (2) Cozinheiras abundantes; (3) Desperdiçadoras de sobras; (4) Procrastinadoras; (5) Mães versáteis - contribui para a teoria, enquanto implicações potenciais para educadores nutricionais e agentes públicos são exploradas a partir dos resultados. Como uma forma de explicar as características de cada um dos cinco tipos identificados, compara-se aspectos das amostras brasileira e norte-americana, que apresentam similaridades no comportamento de desperdício de alimento. Os níveis de desperdício percebidos por país também são comparados. Em suma, os achados dos três artigos podem contribuir para maximizar os resultados de campanhas de conscientização voltadas à mitigação do desperdício de alimento, e apresentam ideias para varejistas interessados em iniciativas de sustentabilidade. Mais abrangentemente, os resultados apresentados também podem ser aplicados para incrementar programas de combate à fome e projetos de educação nutricional realizados pelo setor público ou ONGs.

Associativismo nos municípios rurais: uma alternativa de desenvolvimento local em Portalegre/RN

This work aims to study the associations as mediating the process of social change and its importance for local development. The hypothesis is that associations, but bring dynamism to the smaller cities and improve the living conditions of their members, relegated to the background social sustainability, understood this as a permanent exercise of mobilization and participation in community life. The assumptions of the study are that the practice group has influenced the processes of local development in Brazilian rural municipalities through the mediation of government programs and projects aimed at combating rural poverty require social organization for their achievement. The concept of local development in this work was rescued from studies of political economy and sociology. But the concepts of collective action and partnerships advêem studies of political participation and social development of the theory of alternative or solidarity. The party consisted of an empirical case study conducted with four associations of farmers in the municipality of Portalegre-RN. Why choose qualitative study was used the technique of semi-structured interviews with the chairmen I members of associations and other actors considered essential to understanding the study (religious leaders, local political power and chairman of the union of rural workers), a total of 20 interviews, in addition to the observations of field and documentary research in records of the.ir own organizations. The survey results show that the performance of groups of farmers are key components and determinants for the production I marketing of agricultural products and for boosting the economy, as well as security for minimum levels of citizenship. Yet we are still in a space purpose of social change, which comes to confirm the initial hypothesis of this work

Políticas públicas para o turismo e desenvolvimento local: reflexões a partir dos "caminhos de fé" no semi-árido potiguar

This study analyzes the event of the Feast of Our Lady of Grace, located in the municipality of Florania / RN as a tourism product, inserted in a process of transformation of a sacred place, in principle determined by religious motives, in a destination "tourist-religious". We seek to understand to what extent state intervention, with policies aimed at boosting the tourism sector as well as the interactions among key actors in the space, are able to modify and streamline the city of Florania, particularly Feast of Our Lady of Grace. The methodology also includes the review of the literature using the deductive method the application of questionnaires to the pilgrims, tourists and pilgrims totaling 150 questionnaires. Along with the economic agents of the municipality, 36 questionnaires were administered according to the model adopted by REDESIST. Complement this research interviews with key Officials of the Municipal Government and the Church. Despite the recognition by the actors of the importance of tourism to the economy of the city of Florania, encouraging the development of the sector is still lagging, some worked and policies / programs listed actually pass by the "Paths of Faith" of Florania. Concerning the Feast of Our Lady of Grace, the bottlenecks reported by researchers and economic agents are very partially affected by the policies / programs and when this occurs, the effort seems to be only reactive, resulting from the pressures experienced by the municipal government (mayor)

O Cariri cearense: da ocupação do território à institucionalização da região metropolitana do Cariri

Urbanization in their mearing simpler, the agglomeration of people, occurred from the time that the productive activities have to be based on trade. The first cities arose when the evolution of agriculture allowed the production and storage of surpluses. However, with industrialization was that urbanization becomes intense, according to Singer (1987), the industrial revolution was to stage, from the beginning, the urban area. It requires, in its proximity, the presence of a large number of workers. With respect to the Cariri cearense, the occupation of its territory is associated with the movement of agricultural surpluses produced and reproduced under the hegemony of merchant capital and due to the development of extensive cattle that promoted the territorial occupation of Ceará. From the 1960s, the region has undergone changes in its productive structure due to industrial planning policies of the government of Ceará. However it was in the 1990s that the region itself as economic and urban polo because policies to attract investments from the state government of Ceará. This policy led to boosting trade and services marking the predominance of tertiary activities in the region, especially the retail, wholesale , medical services and education. Investments also consolidated the industrial park area making it diverse, especially the footwear industries, mining, non-metallic minerals, transport equipment, pharmaceutical chemical, food and beverages, rubber and leather and construction. Thus, the aim of this study was to review the region of Cariri cearense occupation of its territory institutionalizing its metropolitan region, to understand what factors influenced the Cariri cearense become an important area in urban and economic terms in the interior of Ceará. In order to develop this research in that refers to the methodological perspective, research is guided by bibliographic studies and also makes use of secondary data analysis (population, GDP, urbanization rate, employment) of the main databases the country, as IBGE, IPEADATA and RAIS - MTE

Aplicação de sistemas multi-classificadores no diagnóstico de falhas em motores de indução trifásicos

Equipment maintenance is the major cost factor in industrial plants, it is very important the development of fault predict techniques. Three-phase induction motors are key electrical equipments used in industrial applications mainly because presents low cost and large robustness, however, it isn t protected from other fault types such as shorted winding and broken bars. Several acquisition ways, processing and signal analysis are applied to improve its diagnosis. More efficient techniques use current sensors and its signature analysis. In this dissertation, starting of these sensors, it is to make signal analysis through Park s vector that provides a good visualization capability. Faults data acquisition is an arduous task; in this way, it is developed a methodology for data base construction. Park s transformer is applied into stationary reference for machine modeling of the machine s differential equations solution. Faults detection needs a detailed analysis of variables and its influences that becomes the diagnosis more complex. The tasks of pattern recognition allow that systems are automatically generated, based in patterns and data concepts, in the majority cases undetectable for specialists, helping decision tasks. Classifiers algorithms with diverse learning paradigms: k-Neighborhood, Neural Networks, Decision Trees and Naïves Bayes are used to patterns recognition of machines faults. Multi-classifier systems are used to improve classification errors. It inspected the algorithms homogeneous: Bagging and Boosting and heterogeneous: Vote, Stacking and Stacking C. Results present the effectiveness of constructed model to faults modeling, such as the possibility of using multi-classifiers algorithm on faults classification

Predição de promotores de Bacillus subtilis usando técnicas de aprendizado de máquina

One of the most important goals of bioinformatics is the ability to identify genes in uncharacterized DNA sequences on world wide database. Gene expression on prokaryotes initiates when the RNA-polymerase enzyme interacts with DNA regions called promoters. In these regions are located the main regulatory elements of the transcription process. Despite the improvement of in vitro techniques for molecular biology analysis, characterizing and identifying a great number of promoters on a genome is a complex task. Nevertheless, the main drawback is the absence of a large set of promoters to identify conserved patterns among the species. Hence, a in silico method to predict them on any species is a challenge. Improved promoter prediction methods can be one step towards developing more reliable ab initio gene prediction methods. In this work, we present an empirical comparison of Machine Learning (ML) techniques such as Na¨ýve Bayes, Decision Trees, Support Vector Machines and Neural Networks, Voted Perceptron, PART, k-NN and and ensemble approaches (Bagging and Boosting) to the task of predicting Bacillus subtilis. In order to do so, we first built two data set of promoter and nonpromoter sequences for B. subtilis and a hybrid one. In order to evaluate of ML methods a cross-validation procedure is applied. Good results were obtained with methods of ML like SVM and Naïve Bayes using B. subtilis. However, we have not reached good results on hybrid database