Neural Networks Tool Condition Monitoring in Single-point Dressing Operations

Abstract Cognitive modeling of tool wear progress is employed to obtain a dependable trend of tool wear curves for optimal utilization of tool life and productivity improvement, while preserving the surface integrity of the ground parts. This paper describes a method to characterize the dresser wear condition utilizing vibration signals by applying a cognitive paradigm, such as Artificial Neural Networks (ANNs). Dressing tests with a single-point dresser were performed in a surface grinding machine and tool wear measurements taken along the experiments. The results show that ANN processing offers an effective method for the monitoring of grinding wheel wear based on vibration signal analysis

Prediction of Dressing in Grinding Operation via Neural Networks

Abstract In order to obtain a modelling and prediction of tool wear in grinding operations, a Cognitive System has been employed to observe the dressing need and its trend. This paper aims to find a methodology to characterize the condition of the wheel during grinding operations and, by the use of cognitive paradigms, to understand the need of dressing. The Acoustic Emission signal from the grinding operation has been employed to characterize the wheel condition and, by the feature extraction of such signal, a cognitive system, based on Artificial Neural Networks, has been implemented

Tool Condition Monitoring of Single-point Dressing Operation by Digital Signal Processing of AE and AI

Abstract This work aims at determining the right moment to stop single-point dressing the grinding wheel in order to optimize the grinding process as a whole. Acoustic emission signals and signal processing tools are used as primary approach. An acoustic emission (AE) sensor was connected to a signal processing module. The AE sensor was attached to the dresser holder, which was specifically built to perform dressing tests. In this work there were three types of test where the edit parameters of each dressing test are: the passes number, the dressing speed, the width of action of the dresser, the dressing time and the sharpness. Artificial Neural Networks (ANNs) technique is employed to classify and predict the best moment for stopping the dressing operation. During the ANNs use, the results from Supervised Neural Networks and Unsupervised Neural Networks are compared

Coevolution creates complex mosaics across large landscapes

The spatial distribution of populations can influence the evolutionary outcome of species interactions. The variation in direction and strength of selection across local communities creates geographic selection mosaics that, when combined with gene flow and genomic processes such as genome duplication or hybridization, can fuel ongoing coevolution. A fundamental problem to solve is how coevolution proceeds when many populations that vary in their ecological outcomes are connected across large landscapes. Here we use a lattice model to explore this problem. Our results show that the complex interrelationships among the elements of the geographic mosaic of coevolution can lead to the formation of clusters of populations with similar phenotypes that are larger than expected by local selection. Our results indicate that neither the spatial distribution of phenotypes nor the spatial differences in magnitude and direction of selection alone dictate coevolutionary dynamics: the geographic mosaic of coevolution affects formation of phenotypic clusters, which in turn affect the spatial and temporal dynamics of coevolution. Because the formation of large phenotypic clusters depends on gene flow, we predict that current habitat fragmentation will change the outcomes of geographic mosaics, coupling spatial patterns in selection and phenotypes1942217229We acknowledge the funding provided by the European Union Seventh Framework Programme (FP7/2007–2013; grant agreement 289384 [L.D.F.]), the São Paulo Research Foundation (grants 2009/54422-8 [P.R.G.], 2016/06054-3 [M.A.M.A.], and 2015/26989-4 [L.D.F.]), the National Council of Scientific and Technological Development (M.A.M.A. and P.L.-C.), and the National Science Foundation (DEB0839853 [J.N.T.]

Factors associated with the prescription of vaginal pessaries for pelvic organ prolapse

OBJECTIVE: To identify the factors associated with the prescription of vaginal pessaries (VPs) as a conservative treatment for pelvic organ prolapse (POP). METHODS: A cross-sectional study was performed during two annual urogynecology and general obstetrics and gynecology meetings in 2017 (Sa˜o Paulo, SP, Brazil). A 19-item deidentified questionnaire regarding experiences and practices in prescribing VPs for POP patients was distributed among gynecologists. Our primary outcome was the frequency of prescribing VPs as a conservative treatment for POP. The reasons for prescribing or not prescribing VPs were also investigated. Univariate and multivariate analyses with crude and adjusted odds ratios (ORs) were performed for variables associated with the prescription of pessaries. RESULTS: Three hundred forty completed surveys were analyzed. Half of the respondents (53.53%) were between 30-49 years old; most of them were female (73.53%), were from the Southeast Region (64.12%), were trained in obstetrics and gynecology (80.24%) or urogynecology (61.18%) and worked in private offices (63.42%). More than one-third (36.48%) attended four or more POP cases/week, and 97.65% (n=332) had heard or knew about VPs for POP; however, only 47.06% (n=160) prescribed or offered this treatment to patients. According to the multivariate analysis, physicians aged 18-35 years (OR=1.97[1.00-3.91]; p=0.04), those who participated in a previous urogynecology fellowship (OR=2.34[1.34-4.09]; po0.01), those with relatively high volumes of POP cases (4 or +) (OR=2.23[1.21-4.47]; p=0.01) and those with PhD degrees (OR=2.75[1.01-7.54]; p=0.05) prescribed more pessaries. CONCLUSIONS: Most gynecologists did not prescribe VPs. Younger physician age, participation in a previous urogynecology fellowship, a PhD degree, and a relatively high volume of POP cases were associated with increased VP prescription rates

Searching for Modular Structure in Complex Phenotypes: Inferences from Network Theory

The notion of modularity has become a unifying principle to understand structural and functional aspects of biological organization at different levels of complexity. Recently, deciphering the modular organization of molecular systems has been greatly aided by network theory. Nevertheless, network theory is completely absent from the investigation of modularity of complex macroscopic phenotypes, a fundamental level of organization at which organisms experience and interact with the environment. Here, we used geometric descriptors of phenotypic variation to derive a network representation of a complex morphological structure, the mammalian mandible, in terms of nodes and links. Then, by integrating the network representation and description with random matrix theory, we uncovered a modular organization for the mammalian mandible, which deviates significantly from an equivalent random network. The modules revealed by the network analysis correspond to the four morphogenetic units recognized for the mammalian mandible on a developmental basis. Furthermore, these modules are known to be affected only by particular genes and are also functionally differentiated. This study shows that the powerful formalism of network theory can be applied to the discovery of modules in complex phenotypes and opens the possibility of an integrated approach to the study of modularity at all levels of organizational complexity.Facultad de Ciencias Naturales y Muse

Spatial Factors Play a Major Role as Determinants of Endemic Ground Beetle Beta Diversity of Madeira Island Laurisilva

The development in recent years of new beta diversity analytical approaches highlighted valuable information on the different processes structuring ecological communities. A crucial development for the understanding of beta diversity patterns was also its differentiation in two components: species turnover and richness differences. In this study, we evaluate beta diversity patterns of ground beetles from 26 sites in Madeira Island distributed throughout Laurisilva – a relict forest restricted to the Macaronesian archipelagos. We assess how the two components of ground beetle beta diversity (βrepl – species turnover and βrich - species richness differences) relate with differences in climate, geography, landscape composition matrix, woody plant species richness and soil characteristics and the relative importance of the effects of these variables at different spatial scales. We sampled 1025 specimens from 31 species, most of which are endemic to Madeira Island. A spatially explicit analysis was used to evaluate the contribution of pure environmental, pure spatial and environmental spatially structured effects on variation in ground beetle species richness and composition. Variation partitioning showed that 31.9% of species turnover (βrepl) and 40.7% of species richness variation (βrich) could be explained by the environmental and spatial variables. However, different environmental variables controlled the two types of beta diversity: βrepl was influenced by climate, disturbance and soil organic matter content whilst βrich was controlled by altitude and slope. Furthermore, spatial variables, represented through Moran’s eigenvector maps, played a significant role in explaining both βrepl and βrich, suggesting that both dispersal ability and Madeira Island complex orography are crucial for the understanding of beta diversity patterns in this group of beetles.Peer reviewe

A política de habitação rural e o desenvolvimento da agricultura familiar.

Este artigo analisa a contribuição do Programa Nacional de Habitação Rural (PNHR) para o desenvolvimento de territórios predominantemente rurais. A partir do estudo de sua implementação na região Oeste Catarinense, ponder sobre os avanços e as restrições desta política social. Para as análises realizadas procedeu-se a uma revisão de literatura, à busca de documentação sobre a política e sua implementação na região estudada, bem como a entrevistas com lideranças e agricultores demandantes e beneficiados por uma casa nova ou reforma. Verificou-se que o PNHR cria uma oportunidade para as famílias rurais descapitalizadas construírem ou reformarem sua casa, apesar de ser ainda restrita a sua abrangência para o conjunto dessas famílias. A reformulação do programa, reduzindo exigências financeiras e para operação dos créditos, pode oportunizar que maior número de famílias dele se beneficie, com impacto social positivo no desenvolvimento regional