Second-order negative-curvature methods for box-constrained and general constrained optimization

A Nonlinear Programming algorithm that converges to second-order stationary points is introduced in this paper. The main tool is a second-order negative-curvature method for box-constrained minimization of a certain class of functions that do not possess continuous second derivatives. This method is used to define an Augmented Lagrangian algorithm of PHR (Powell-Hestenes-Rockafellar) type. Convergence proofs under weak constraint qualifications are given. Numerical examples showing that the new method converges to second-order stationary points in situations in which first-order methods fail are exhibited.

Three-dimensional, fully adaptive simulations of phase-field fluid models

We present an efficient numerical methodology for the 31) computation of incompressible multi-phase flows described by conservative phase-field models We focus here on the case of density matched fluids with different viscosity (Model H) The numerical method employs adaptive mesh refinements (AMR) in concert with an efficient semi-implicit time discretization strategy and a linear, multi-level multigrid to relax high order stability constraints and to capture the flow`s disparate scales at optimal cost. Only five linear solvers are needed per time-step. Moreover, all the adaptive methodology is constructed from scratch to allow a systematic investigation of the key aspects of AMR in a conservative, phase-field setting. We validate the method and demonstrate its capabilities and efficacy with important examples of drop deformation, Kelvin-Helmholtz instability, and flow-induced drop coalescence (C) 2010 Elsevier Inc. All rights reserved

A Robust, Fully Adaptive Hybrid Level-Set/Front-Tracking Method for Two-Phase Flows with an Accurate Surface Tension Computation

We present a variable time step, fully adaptive in space, hybrid method for the accurate simulation of incompressible two-phase flows in the presence of surface tension in two dimensions. The method is based on the hybrid level set/front-tracking approach proposed in [H. D. Ceniceros and A. M. Roma, J. Comput. Phys., 205, 391400, 2005]. Geometric, interfacial quantities are computed from front-tracking via the immersed-boundary setting while the signed distance (level set) function, which is evaluated fast and to machine precision, is used as a fluid indicator. The surface tension force is obtained by employing the mixed Eulerian/Lagrangian representation introduced in [S. Shin, S. I. Abdel-Khalik, V. Daru and D. Juric, J. Comput. Phys., 203, 493-516, 2005] whose success for greatly reducing parasitic currents has been demonstrated. The use of our accurate fluid indicator together with effective Lagrangian marker control enhance this parasitic current reduction by several orders of magnitude. To resolve accurately and efficiently sharp gradients and salient flow features we employ dynamic, adaptive mesh refinements. This spatial adaption is used in concert with a dynamic control of the distribution of the Lagrangian nodes along the fluid interface and a variable time step, linearly implicit time integration scheme. We present numerical examples designed to test the capabilities and performance of the proposed approach as well as three applications: the long-time evolution of a fluid interface undergoing Rayleigh-Taylor instability, an example of bubble ascending dynamics, and a drop impacting on a free interface whose dynamics we compare with both existing numerical and experimental data.

Integration of Ligand- and Target-Based Virtual Screening for the Discovery of Cruzain Inhibitors

A myriad of methods are available for virtual screening of small organic compound databases. In this study we have successfully applied a quantitative model of consensus measurements, using a combination of 3D similarity searches (ROCS and EON), Hologram Quantitative Structure Activity Relationships (HQSAR) and docking (FRED, FlexX, Glide and AutoDock Vina), to retrieve cruzain inhibitors from collected databases. All methods were assessed individually and then combined in a Ligand-Based Virtual Screening (LBVS) and Target-Based Virtual Screening (TBVS) consensus scoring, using Receiving Operating Characteristic (ROC) curves to evaluate their performance. Three consensus strategies were used: scaled-rank-by-number, rank-by-rank and rank-by-vote, with the most thriving the scaled-rank-by-number strategy, considering that the stiff ROC curve appeared to be satisfactory in every way to indicate a higher enrichment power at early retrieval of active compounds from the database. The ligand-based method provided access to a robust and predictive HQSAR model that was developed to show superior discrimination between active and inactive compounds, which was also better than ROCS and EON procedures. Overall, the integration of fast computational techniques based on ligand and target structures resulted in a more efficient retrieval of cruzain inhibitors with desired pharmacological profiles that may be useful to advance the discovery of new trypanocidal agents.

The Potential Of Kohonen Method For Classifying Rivers Focused On Regional Environmental Flow Determination With ELOHA

This article highlights the potential benefits that the Kohonen method has for the classification of rivers with similar characteristics by determining regional ecological flows using the ELOHA (Ecological Limits of Hydrologic Alteration) methodology. Currently, there are many methodologies for the classification of rivers, however none of them include the characteristics found in Kohonen method such as (i) providing the number of groups that actually underlie the information presented, (ii) used to make variable importance analysis, (iii) which in any case can display two-dimensional classification process, and (iv) that regardless of the parameters used in the model the clustering structure remains. In order to evaluate the potential benefits of the Kohonen method, 174 flow stations distributed along the great river basin “Magdalena-Cauca” (Colombia) were analyzed. 73 variables were obtained for the classification process in each case. Six trials were done using different combinations of variables and the results were validated against reference classification obtained by Ingfocol in 2010, whose results were also framed using ELOHA guidelines. In the process of validation it was found that two of the tested models reproduced a level higher than 80% of the reference classification with the first trial, meaning that more than 80% of the flow stations analyzed in both models formed invariant groups of streams.

A search-theoretic explanation for the negative correlation between labor income and impatience

Lawrance (1991) has shown, through the estimation of consumption Euler equations, that subjective rates of impatience (time preference) in the U.S. are three to Öve percentage points higher for households with lower average labor incomes than for those with higher labor income. From a theoretical perspective, the sign of this correlation in a job-search model seems at Örst to be undetermined, since more impatient workers tend to accept wage o§ers that less impatient workers would not, thereby remaining less time unemployed. The main result of this paper is showing that, regardless of the existence of e§ects of opposite sign, and independently of the particular speciÖcations of the givens of the model, less impatient workers always end up, in the long run, with a higher average income. The result is based on the (unique) invariant Markov distribution of wages associated with the dynamic optimization problem solved by the consumers. An example is provided to illustrate the method.

Public policies impacts on Latin American labor structures, preparing for integration

One of the Main Subjects to Be Discussed, in Order to Adjust Latin American Economies to a Regional Integration Network, as Imposed By Mercosul or Other Economic Common Markets, is Related to the Employment and Other Labor Markets Public Policies. the Question to Be Posed Is: Having in Mind the Characteristics of Different Labor Markets and Labor Forces, What are the Impacts of Governmental Measures Presented in the Diverse Economic Conditions of Those Countries. Having in Mind These Impacts, This Paper Aims to Examine the Requisites to Adjust the Labor Structure Standards of Latin American Countries and What Would Be the Reforms to Be Performed By These Countries in Order to Prepare These Markets and Labor Forces to Adapt to Regional Integration Networks Represented By Mercosul, Alca or Other Common Markets. There are Evaluated the Impacts of the Globalization Process, Economic Stabilization and Reform Policies Undertaken By Some Selected Latin American Countries Since the Eighties on the Labor Structure Standards, Considering the Specific Adjustment Measures to Cope With the Negative Effects of These Policies. Next, Some Cases of Europe Union (Eu) Countries Measures to Prepare to Integration is Examined, in Order to Provide Some Elements to Better Understand the Possibilities to Handle With the Extensive Changes in External Conditions. in Sequence Some Statistical Indicatives of the Impacts of These Measures on the Occupational Structuring are Analyzed For a Group of Selected Latin American and Eu Countries.

Relações planta-animal num sistema de integração lavoura-pecuária

Este trabalho buscou estudar um sistema de integração lavoura-pecuária com diferentes alturas de pastos, no período de inverno, e seus reflexos sobre a dinâmica da pastagem e o desempenho animal. O experimento foi conduzido em uma pastagem de aveia + azevém manejada sob diferentes intensidades de pastejo. O delineamento experimental foi de blocos ao acaso com quatro tratamentos (10, 20, 30 e 40 cm de altura de manejo) e três repetições. Utilizaramse terneiros de corte de cruzamento industrial com idade e peso médio inicial de 10 meses e 210 kg, respectivamente. O método de pastejo foi contínuo com lotação variável. A adubação de base foi de 400 kg/ha de superfosfato simples e de 90 kg/ha de N em cobertura. As alturas do pasto afetaram a massa de forragem (MF), onde para cada cm de aumento na altura acima de 10 cm, houve incremento na matéria seca da pastagem em cerca de 86 kg/ha de MS. O aumento no ganho médio diário (GMD) foi condicionado pelo incremento na qualidade e/ou na quantidade de forragem disponível, e o modelo de resposta do GMD em relação às alturas do pasto, resultou em valores de 0,73 e 1,14 kg/animal/dia nos tratamentos de maior e menor GMD, respectivamente, que foram de 10 cm e 30 cm de altura. No rendimento de carcaça não houve diferença (P>0,05) entre os tratamentos, uma vez que todos os valores ficaram em torno de 51%. Quanto ao peso de carcaça quente e fria, peso de costilhar, escore de condição corporal e grau de acabamento, observou-se comportamento muito similar à evolução do ganho médio diário dos animais.

Business process in supply chain integration in sugar and ethanol industry

This article presents the application of a diagnosis method in a Brazilian company from the sugar and ethanol industry to identify the level of supply chain integration. The diagnosis method is based on Cooper, Lambert and Pagh reference model for SCM. The method involves nine referential axes established from the eighth key business processes of the reference model.

Comprehensive two-dimensional gas chromatography with time-of-flight mass spectrometry combined with solid phase microextraction as a powerful tool for quantification of ethyl carbamate in fortified wines. The case study of Madeira wine

An analytical methodology based on headspace solid phase microextraction (HS-SPME) combined with comprehensive two-dimensional gas chromatography—time-of-flight mass spectrometry (GC × GC–ToFMS) was developed for the identification and quantification of the toxic contaminant ethyl carbamate (EC) directly in fortified wines. The method performance was assessed for dry/medium dry and sweet/medium sweet model wines, and for quantification purposes, calibration plots were performed for both matrices using the ion extraction chromatography (IEC) mode (m/z 62). Good linearity was obtained with a regression coefficient (r2) higher than 0.981. A good precision was attained (R.S.D. <20%) and low detection limits (LOD) were achieved for dry (4.31 μg/L) and sweet (2.75 μg/L) model wines. The quantification limits (LOQ) and recovery for dry wines were 14.38 μg/L and 88.6%, whereas for sweet wines were 9.16 μg/L and 99.4%, respectively. The higher performance was attainted with sweet model wine, as increasing of glucose content improves the volatile compound in headspace, and a better linearity, recovery and precision were achieved. The analytical methodology was applied to analyse 20 fortified Madeira wines including different types of wine (dry, medium dry, sweet, and medium sweet) obtained from several harvests in Madeira Island (Portugal). The EC levels ranged from 54.1 μg/L (medium dry) to 162.5 μg/L (medium sweet).

Allergic asthma exhaled breath metabolome: a challenge for comprehensive two-dimensional gas chromatography

Allergic asthma represents an important public health issue, most common in the paediatric population, characterized by airway inflammation that may lead to changes in volatiles secreted via the lungs. Thus, exhaled breath has potential to be a matrix with relevant metabolomic information to characterize this disease. Progress in biochemistry, health sciences and related areas depends on instrumental advances, and a high throughput and sensitive equipment such as comprehensive two-dimensional gas chromatography–time of flight mass spectrometry (GC × GC–ToFMS) was considered. GC × GC–ToFMS application in the analysis of the exhaled breath of 32 children with allergic asthma, from which 10 had also allergic rhinitis, and 27 control children allowed the identification of several hundreds of compounds belonging to different chemical families. Multivariate analysis, using Partial Least Squares-Discriminant Analysis in tandem with Monte Carlo Cross Validation was performed to assess the predictive power and to help the interpretation of recovered compounds possibly linked to oxidative stress, inflammation processes or other cellular processes that may characterize asthma. The results suggest that the model is robust, considering the high classification rate, sensitivity, and specificity. A pattern of six compounds belonging to the alkanes characterized the asthmatic population: nonane, 2,2,4,6,6-pentamethylheptane, decane, 3,6-dimethyldecane, dodecane, and tetradecane. To explore future clinical applications, and considering the future role of molecular-based methodologies, a compound set was established to rapid access of information from exhaled breath, reducing the time of data processing, and thus, becoming more expedite method for the clinical purposes.

As relações da tríplice hélice no setor da carcinicultura do Rio Grande do Norte: uma análise a partir das abordagens da imersão social e da dependência de recursos

This work consists in a study of the Shrimp Industry in the state of Rio Grande do Norte, whose central issue relates to the understanding of how the Triple Helix (University, Government and the productive sector) interrelationship limits or expands the industry s innovation process. The study aims to understand how the Triple Helix relationship interferes in the innovation process of shrimp in Rio Grande do Norte. As the knowledge becomes the resource key for production methods, the generation of new technologies, new products and processes which demands joint and integrated action of the institutions comprising the Triple Helix: University, Government and productive sector, which possess the essential resources to innovate the process and can be maximized from cooperative relationships between the referred Institutions. Thus, in this work, it was sharply used the pioneering studies of Sabato and Botana (1968) regarding the cooperation relationship between the scientific-technological sphere, the governmental and the productive base, and studies on the Triple Helix approach, proposed by Etzkowitz and Leydesdorff (2000), in which the university has a key role in the process of technological and innovative development of countries and regions, and under which it is assigned to the very University - the character of the entrepreneurial institution, through the concept of entrepreneurial University. Aiming to overcome the criticism of Cooke (2005), regarding the limitations of the Triple Helix approach, in this study it was used - as analytical perspectives - the perspective of social immersion (Granovetter, 1985, 2005) and the theory of resources dependence (PFEFFER; SALANCIK, 1978). The analytical perspectives presented in here, despite of the different assumptions, are essential to eliminate the bias that one only approach can lead (ASTLEY; VAN DE VEM; 2007). The authors arguments focus on the fact that the integration is possible if the researcher acknowledged that different perspectives may have different descriptions of the same phenomenon. As a research strategy, this study is characterized as a study case, along with the proposed objectives - the qualitative method was used as an approach and, depending on the gathering of the sector s historical, a sectional longitudinal view approach was applied (VIEIRA, 2004). The primary and secondary data were used in order to understand the sector s evolutionary process and its inter-institutional relations - regarding the shrimp culture in Rio Grande do Norte - to promote the development, as the content was used for the technical analysis (BARDIN, 1977). The approach of social immersion and resources addiction dependence made it possible to understand that relationships are established within and between each sphere (university, government and productive sector) characterizing a network of low density relationships and strongly internal and external dependence. Based on the speech of Etzkowitz and Mello (2006), a successful Triple Helix strategy of innovation requires not only the involvement and commitment of the parts, within the institutional sphere and among them, but also the development of mechanisms to coordinate the multiple and complex interactions and interfaces, focusing on promoting both environment and context for innovation and learning; it can be acknowledge from study results that the shrimp in the State of the RN, although there are several institutional mechanisms to promote greater integration and technological development, has been presented disjointed - both internally and between the spheres - and under no legitimate practice when facing the innovational promotion and integration institutions. Due to those factors, the central institutions of the network are crucial to the promotion of innovations, spreading through their direct contacts the importance factor of the sustainable competitive activity in the world market and on the national level. However, it may be concluded, from the data, that the Triple Helix relations are interfering in a negative way on what concerns the promotion of innovations in the shrimp industry in RN

Three-Dimensional Semiautomatic Road Extraction From a High-Resolution Aerial Image by Dynamic-Programming Optimization in the Object Space

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Incommensurate spin-density-wave and metal-insulator transition in the one-dimensional periodic Anderson model

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Numerical simulation of magnetic field enhanced plasma immersion ion implantation

The behavior of plasma and sheath characteristics under the action of an applied magnetic field is important in many applications including plasma probes and material processing. Plasma immersion ion implantation (PIII) has been developed as a fast and efficient surface modification technique of complex shaped three-dimensional objects. The PIII process relies on the acceleration of ions across a high-voltage plasma sheath that develops around the target. Recent studies have shown that the sheath dynamics is significantly affected by an external magnetic field. In this work we describe a two-dimensional computer simulation of magnetic field enhanced plasma immersion implantation system. Negative bias voltage is applied to a cylindrical target located on the axis of a grounded cylindrical vacuum chamber filled with uniform nitrogen plasma. An axial magnetic field is created by a solenoid installed inside the cylindrical target. The computer code employs the Monte Carlo method for collision of electrons and neutrals in the plasma and a particle-in-cell (PIC) algorithm for simulating the movement of charged particles in the electromagnetic field. Secondary electron emission from the target subjected to ion bombardment is also included. It is found that a high-density plasma region is formed around the cylindrical target due to the intense background gas ionization by the magnetized electrons drifting in the crossed ExB fields. An increase of implantation current density in front of high density plasma region is observed. (C) 2007 Elsevier B.V. All rights reserved.