Influence of Agroforestry and Traditional Management of Maize (Zea mays L.) on Soil Fertility

The aim of the work was to evaluate soil nutrient concentration at 0-5, 5-10, and 10-20 cm in maize (Zea mays L.) grown in sequence with black oats (Avena strigosa Schreb.) under Leucaena diversifolia alley cropping agroforestry system (AFS) and traditional management system/sole crop (without trees-TS), following a randomized block design. The experiment was carried out at the Brazilian Association of Biodynamic Agriculture, in Botucatu, São Paulo, Brazil. The treatments were: control (C), chemical fertilizer (F), biomass of L. diversifolia alley cropping (B), and biomass of L. diversifolia alley cropping + chemical fertilizer (B+F). After 2 yr, it was observed that pH, organic matter, and nutrient content had a tendency to show higher values in the treatments biomass+fertilizer, biomass, and fertilizer application, in both systems. Higher values in pH, organic matter, phosphorus, potassium, calcium, magnesium, sum of bases, cation exchange capacity, percentage base saturation, boron, copper, and manganese tended to occur in the agroforestry system. © 2013 Copyright Taylor and Francis Group, LLC.

Guidelines for the integration of certifiable management systems in industrial companies

Organizations often operate in turbulent environments characterized by intense competitiveness, constant technological progress, new market requirements, and scarce natural resources. This scenario imposes the constant need for change in the operation and companies' management. The integration of certifiable management systems is an effective alternative in this sense. The objective of the present study is to propose guidelines for the integration of the ISO 9001 Quality Management System (QMS), ISO 14001 Environmental Management System (EMS) and OHSAS 18001 Occupational Health and Safety Management System (OHSMS) in industrial companies. These guidelines were developed based on a theoretical framework and on the results from fourteen case studies performed in Brazilian industrial companies. The proposed guidelines were divided into three phases: A) integration planning, b) integration development, and c) integration control and improvement.

Análise do desenvolvimento de competências gerenciais na construção civil através do modelo da aprendizagem baseada em problemas adaptado ao contexto organizacional

Com a crescente e constante mudança da competitividade no ramo da construção civil, a velocidade com que novas tecnologias vêm sendo disponibilizadas, a quantidade e o acesso rápido a informação caracterizam um ambiente turbulento que requer uma grande capacidade de adaptação e aprendizagem nas organizações. Estas mudanças no cenário da engenharia civil e, consequentemente da gestão da produção das obras, exigem um engenheiro com perfil diferente do tocador de obras. Diante deste cenário, algumas alterações ocorreram, provocando mudanças neste novo perfil profissional dos engenheiros civis. Essa nova conjuntura exige um perfil mais apurado de tais profissionais, onde, o domínio sobre inovação, foco no cliente, planejamento, conhecimento de sistemas de gestão da qualidade, sustentabilidade e uma visão humanista se tornam vertentes indispensáveis. A pesquisa tem como foco de estudo a análise do desenvolvimento de competências do engenheiro civil gestor de obra. O objetivo principal da pesquisa foi: analisar, compreender e avaliar os resultados do processo de desenvolvimento de competências gerenciais de engenheiros civis gestores de obra, através da implantação em uma empresa construtora do modelo da Aprendizagem Baseada em Problemas adaptado ao contexto organizacional. A estratégia de pesquisa adotada foi à pesquisa-ação, pois contou com o trabalho em equipe e o comprometimento de mudança de todos os envolvidos. Os resultados alcançados analisaram o desenvolvimento das competências relacionadas ao contexto organizacional, à aprendizagem individual, coletiva e organizacional, além de, apontar problemas e possíveis soluções de gestão na empresa.

Análise do desenvolvimento de competências gerenciais na construção civil através do modelo da Aprendizagem Baseada em Problemas adaptado ao contexto organizacional

As mudanças no cenário da engenharia civil e consequentemente da gestão da produção das obras exigem um engenheiro com perfil diferente, resultando na necessidade novas competências, relacionadas a inovação, foco no cliente, planejamento e controle, sistemas de gestão da qualidade, sustentabilidade e uma visão humanista. O objetivo principal deste artigo é identificar as competências desenvolvidas em uma empresa construtora com o processo de implantação da Aprendizagem Baseada em Problemas adaptado ao contexto organizacional. A estratégia de pesquisa adotada foi a pesquisa-ação, na qual a equipe de pesquisa atua com profissionais para melhorar a forma como estes entendem e resolvem problemas. Os resultados alcançados envolveram o desenvolvimento de competências relacionadas ao contexto organizacional, à aprendizagem individual, coletiva e organizacional, apontando problemas e possíveis soluções de gestão na empresa. Através do desenvolvimento de competências gerenciais, foi estimulada uma visão humanística, sustentável, com foco no cliente, além de um melhor sistema de gestão da qualidade. Identificaram-se problemas no sistema de gestão organizacional, ficando evidente a necessidade da criação de um ambiente propício para troca de informações entre diferentes setores da empresa.

Construção de um sistema de gestão de materiais - MRP - Integrado ao Jogo de Empresas Mercado Virtual

Pós-graduação em Engenharia de Produção - FEB

Soil physical and microbiological attributes cultivated with the common bean under two management systems

Agricultural management systems can alter the physical and biological soil quality, interfering with crop development. The objective of this study was to evaluate the physical and microbiological attributes of a Red Latosol, and its relationship to the biometric parameters of the common bean (Phaseolus vulgaris), irrigated and grown under two management systems (conventional tillage and direct seeding), in Campinas in the state of Sao Paulo, Brazil. The experimental design was of randomised blocks, with a split-plot arrangement for the management system and soil depth, analysed during the 2006/7 and 2007/8 harvest seasons, with 4 replications. The soil physical and microbiological attributes were evaluated at depths of 0.00-0.05, 0.05-0.10, 0.10-0.20 and 0.20-0.40 m. The following were determined for the crop: density, number of pods per plant, number of beans per pod, thousand seed weight, total weight of the shoots and harvest index. Direct seeding resulted in a lower soil physical quality at a depth of 0.00-0.05 m compared to conventional tillage, while the opposite occurred at a depth of 0.05-0.10 m. The direct seeding showed higher soil biological quality, mainly indicated by the microbial biomass nitrogen, basal respiration and metabolic quotient. The biometric parameters in the bean were higher under the direct seeding compared to conventional tillage.

Improving logistics services through the technology used in fleet management

Outsourcing logistics has established itself in the area of the LSP (Logistics Service Provider), which offers a range of services to its customers. In this line, transportation is characterized as one of the most important services, and therefore efficient fleet management is essential for establishing a high level of customer service. With advances in technology and vehicle tracking systems, this approach of management has gained new possibilities for the improvement of logistics services. By studying the specific case of an LSP, this paper investigates the use of these technologies in the management of their business and services. The results indicate that the LSP seeks to increase its services and to streamline information in order to respond to customer needs in real time. It is also evident in this case under study that the combination of the technology available together with the fleet management system has become a distinguishing feature for this LSP, one which increases their skills and important information for both customers and business.

Life cycle assessment applied to municipal solid waste management: a case study

This study analyzes the environmental performance of the Municipal Solid Waste Management System (MSWMS) of Piedade, São Paulo, from a systemic perspective. A life cycle assessment (LCA) technique was applied according to an attributional approach to evaluate both the current operational situation and different prospective scenarios, which were devised based on the application of targets for recycling dry and wet waste suggested by the pre-draft version of the Brazilian Plan for Solid Waste. The life cycle impact assessment method EcoIndicator 99, in association with normalization and weighting procedures, was used to conduct the analysis. It was observed that the adoption of goals of 30%, 50% and 70% for recovering of the recyclable dry waste, resulted in improvement of the environmental performance of the waste management system under analysis, respectively of 10%, 15% and 20%. It was also possible to detect an evolution in the order of 54% in reducing impacts resulting from the adoption of targets for composting. LCA proved to be effective for the evaluation of the environmental performance of MSWMS-Piedade. However, for future evaluations, the attributional approach should be replaced by the methodological practice of substitution to enable the avoided burdens to be considered in estimations of the environmental performance municipal solid waste management systems.

Productivity, Leaf Nutrient Content and Soil Carbon Stocked in Agroforestry and Traditional Management of Maize (Zea mays L.)

The aim of the work was to evaluate the productivity, leaf nutrient content and soil nutrient concentration in maize (Zea mays L.) grown in sequence with black oats (Avena strigosa Schreb.) under Leucaena diversifolia alley cropping agroforestry system (AFS) and traditional management system/sole crop (without trees-TS), after two years of cultivation following a randomized block design. The experiment was carried out in the Brazilian Association of Biodynamic Agriculture, in Botucatu—S?o Paulo, Brazil. Treatments were: control (C), chemical fertilizer application (F), biomass of L. diversifolia alley cropping application (B), biomass of L. diversifolia alley cropping + chemical fertilizer application (B + F). In the second year of management it was observed that black oat yield was higher in treatments B + F and F with significant difference in relation to the others treatments in both systems, followed by treatment B. Between systems, only treatment B showed significant difference, with higher yield value corresponding to AFS, reflecting the efficiency of AFS to promote soil fertility. Maize production presented the second year of cultivation an increasing trend in all treatments in both production systems. This result may be due to the cumulative effect of mineralization and maize straw and oats, along the experiment. How productivity was higher in the AFS system, could also be occurring effect of biological nitrogen fixation, water retention and reduction of extreme microclimate through the rows of L. diversifolia. Comparing the AFS and TS, it was observed that the concentration of N in leaf tissue was higher in the AFS treatments, probably due to nitrogen fixation performed through the rows of L. diversifolia, that is a nitrogen fixing tree species. After two years, carbon stocked in soil show higher values in the treatments biomass + fertilizer and biomass application, in both systems, AFS and TS.

Green supply chain management em uma indústria de bens do consumo do Vale do Paraíba - SP

The Green Supply Chain Management (GSCM) is gaining prominence in the academy and business, as an approach that aims to promote economic and environmental gains. The GSCM is operated through the Environmental Management System Tools and treated as an Environmental Management System (EMS), involving Reverse Logistics, Green Purchasing, Green Sourcing, Green Design, Green Packaging, Green Operation, Green Manufacturing, Green Innovation and Customer Awareness. The objective of this study is to map the GSCM tools and identify their practice in a consumer goods industry in the Vale do Paraiba. The approach and data collection were made in the company's database chosen as the object of study, as well as through on site visits and interviews. The results showed that the tools Green Operation, Green Manufacturing, Green Innovation and Green Sourcing are applied in the company and just Costumer Awareness tool showed no practice at all. To other tools was identified ideology or interest of the company in applying them

Green supply chain management em uma indústria de bens do consumo do Vale do Paraíba - SP

The Green Supply Chain Management (GSCM) is gaining prominence in the academy and business, as an approach that aims to promote economic and environmental gains. The GSCM is operated through the Environmental Management System Tools and treated as an Environmental Management System (EMS), involving Reverse Logistics, Green Purchasing, Green Sourcing, Green Design, Green Packaging, Green Operation, Green Manufacturing, Green Innovation and Customer Awareness. The objective of this study is to map the GSCM tools and identify their practice in a consumer goods industry in the Vale do Paraiba. The approach and data collection were made in the company's database chosen as the object of study, as well as through on site visits and interviews. The results showed that the tools Green Operation, Green Manufacturing, Green Innovation and Green Sourcing are applied in the company and just Costumer Awareness tool showed no practice at all. To other tools was identified ideology or interest of the company in applying them

DIGITAL LIBRARIES AND LEARNING OBJECTS REPOSITORIES

Discusses the technological changes that affects learning organizations as well as the human, technical, legal and sustainable aspects regarding learning objects repositories creation, maintenance and use. It presents concepts of information objects and learning objects, the functional requirements needed to their storage at Learning Management Systems. The role of Metadata is reviewed concerning learning objects creation and retrieval, followed by considerations about learning object repositories models, community participation/collaborative strategies and potential derived metrics/indicators. As a result of this desktop research, it can be said that not only technical competencies are critical to any learning objects repository implementation, but it urges that an engaged community of interest be establish as a key to support a learning object repository project. On that matter, researchers are applying Activity Theory (Vygostky, Luria y Leontiev) in order to seek joint perceptions and actions involving learning objects repository users, curators and managers, perceived as critical assets to a successful proposal.

A rigorous approach to facilitate and guarantee the correctness of the genetic testing management in human genome information systems

Abstract Background Recent medical and biological technology advances have stimulated the development of new testing systems that have been providing huge, varied amounts of molecular and clinical data. Growing data volumes pose significant challenges for information processing systems in research centers. Additionally, the routines of genomics laboratory are typically characterized by high parallelism in testing and constant procedure changes. Results This paper describes a formal approach to address this challenge through the implementation of a genetic testing management system applied to human genome laboratory. We introduced the Human Genome Research Center Information System (CEGH) in Brazil, a system that is able to support constant changes in human genome testing and can provide patients updated results based on the most recent and validated genetic knowledge. Our approach uses a common repository for process planning to ensure reusability, specification, instantiation, monitoring, and execution of processes, which are defined using a relational database and rigorous control flow specifications based on process algebra (ACP). The main difference between our approach and related works is that we were able to join two important aspects: 1) process scalability achieved through relational database implementation, and 2) correctness of processes using process algebra. Furthermore, the software allows end users to define genetic testing without requiring any knowledge about business process notation or process algebra. Conclusions This paper presents the CEGH information system that is a Laboratory Information Management System (LIMS) based on a formal framework to support genetic testing management for Mendelian disorder studies. We have proved the feasibility and showed usability benefits of a rigorous approach that is able to specify, validate, and perform genetic testing using easy end user interfaces.

A Virtual Programming Lab for Moodle with automatic assessment and anti-plagiarism features

[EN] This paper describes VPL, a Virtual Programming Lab module for Moodle, developed at the University of Las Palmas of Gran Canaria (ULPGC) and released for free uses under GNU/GPL license. For the students, it is a simple development environment with auto evaluation capabilities. For the instructors, it is a students' work management system, with features to facilitate the preparation of assignments, manage the submissions, check for plagiarism, and do assessments with the aid of powerful and flexible assessment tools based on program testing, all of that being independent of the programming language used for the assignments and taken into account critical security issues.

Lernen mit einer Hybride aus Lernendem Klassifizierendem System und Selbstorganisierender Karte

Im Forschungsgebiet der Künstlichen Intelligenz, insbesondere im Bereich des maschinellen Lernens, hat sich eine ganze Reihe von Verfahren etabliert, die von biologischen Vorbildern inspiriert sind. Die prominentesten Vertreter derartiger Verfahren sind zum einen Evolutionäre Algorithmen, zum anderen Künstliche Neuronale Netze. Die vorliegende Arbeit befasst sich mit der Entwicklung eines Systems zum maschinellen Lernen, das Charakteristika beider Paradigmen in sich vereint: Das Hybride Lernende Klassifizierende System (HCS) wird basierend auf dem reellwertig kodierten eXtended Learning Classifier System (XCS), das als Lernmechanismus einen Genetischen Algorithmus enthält, und dem Wachsenden Neuralen Gas (GNG) entwickelt. Wie das XCS evolviert auch das HCS mit Hilfe eines Genetischen Algorithmus eine Population von Klassifizierern - das sind Regeln der Form [WENN Bedingung DANN Aktion], wobei die Bedingung angibt, in welchem Bereich des Zustandsraumes eines Lernproblems ein Klassifizierer anwendbar ist. Beim XCS spezifiziert die Bedingung in der Regel einen achsenparallelen Hyperquader, was oftmals keine angemessene Unterteilung des Zustandsraumes erlaubt. Beim HCS hingegen werden die Bedingungen der Klassifizierer durch Gewichtsvektoren beschrieben, wie die Neuronen des GNG sie besitzen. Jeder Klassifizierer ist anwendbar in seiner Zelle der durch die Population des HCS induzierten Voronoizerlegung des Zustandsraumes, dieser kann also flexibler unterteilt werden als beim XCS. Die Verwendung von Gewichtsvektoren ermöglicht ferner, einen vom Neuronenadaptationsverfahren des GNG abgeleiteten Mechanismus als zweites Lernverfahren neben dem Genetischen Algorithmus einzusetzen. Während das Lernen beim XCS rein evolutionär erfolgt, also nur durch Erzeugen neuer Klassifizierer, ermöglicht dies dem HCS, bereits vorhandene Klassifizierer anzupassen und zu verbessern. Zur Evaluation des HCS werden mit diesem verschiedene Lern-Experimente durchgeführt. Die Leistungsfähigkeit des Ansatzes wird in einer Reihe von Lernproblemen aus den Bereichen der Klassifikation, der Funktionsapproximation und des Lernens von Aktionen in einer interaktiven Lernumgebung unter Beweis gestellt.