Harmonização e classificação toxicológica de agrotóxicos em 1992 no Brasil e a necessidade de prever os impactos da futura implantação do GHS

Em 1992, o Brasil modificou seus critérios de classificação toxicológica de agrotóxicos adequando-os à recomendação de classificação de periculosidade da Organização Mundial da Saúde (OMS). Em 2002, o Sistema Globalmente Harmonizado de Classificação e Rotulagem de Produtos Químicos (GHS) foi adotado pela Organização das Nações Unidas. Em decorrência, a OMS está adequando ao GHS sua recomendação de classificação de agrotóxicos, o que também deverá ser feito pelo Brasil. Considerou-se oportuno estimar o impacto da alteração de critérios, ocorrida em 1992, na reclassificação toxicológica dos produtos comerciais que se encontravam registrados na ocasião. Encontrou-se que 58,6% do total dos agrotóxicos então registrados (74,9% das formulações líquidas e 31,0% das sólidas) podem ter sofrido reclassificação para classes toxicológicas consideradas de me-nor periculosidade, sofrendo mudanças na comunicação de riscos expressa na rotulagem. Isto pode ter ocasionado conseqüências negativas devido a confusões de interpretação pelos agricultores. Nos países que já dispõem de sistemas de classificação de periculosidade de agrotóxicos, como o Brasil, recomenda-se estimar, antes da implantação, os impactos das mudanças que poderão decorrer da adoção do GHS.

A fuzzy reed-frost model for epidemic spreading

In this paper, we present a fuzzy approach to the Reed-Frost model for epidemic spreading taking into account uncertainties in the diagnostic of the infection. The heterogeneities in the infected group is based on the clinical signals of the individuals (symptoms, laboratorial exams, medical findings, etc.), which are incorporated into the dynamic of the epidemic. The infectivity level is time-varying and the classification of the individuals is performed through fuzzy relations. Simulations considering a real problem with data of the viral epidemic in a children daycare are performed and the results are compared with a stochastic Reed-Frost generalization

Epistemologia ou filosofia da Ciência da Informação?

It discusses the philosophical proposal by Luciano Floridi for Library and Information Science (BCI) and the response of information theorists to the proposal. The article points out the courage of the young Italian philosopher - from the computational field - who breaks the hegemony of epistemology as foundation for BCI. However, it takes distance from the philosophy of information in favor of a philosophy of Information Science, in which the creation of concepts, in Deleuze and Guattari's inspiration, is mandatory. In this sense, the article presents two philosophical concepts for the area of knowledge organization, such as: minor documentary language and descriptive classification by affects. These same concepts consider all elements of the philosophical concept: the problem the concept refers to; the components of the concept, the neighborhood and its boundaries and, most importantly, the becoming of the philosophical concept on scientific or artistic practices.

Comparison of multispectral wide-field optical imaging modalities to maximize image contrast for objective discrimination of oral neoplasia

Multispectral widefield optical imaging has the potential to improve early detection of oral cancer. The appropriate selection of illumination and collection conditions is required to maximize diagnostic ability. The goals of this study were to (i) evaluate image contrast between oral cancer/precancer and non-neoplastic mucosa for a variety of imaging modalities and illumination/collection conditions, and (ii) use classification algorithms to evaluate and compare the diagnostic utility of these modalities to discriminate cancers and precancers from normal tissue. Narrowband reflectance, autofluorescence, and polarized reflectance images were obtained from 61 patients and 11 normal volunteers. Image contrast was compared to identify modalities and conditions yielding greatest contrast. Image features were extracted and used to train and evaluate classification algorithms to discriminate tissue as non-neoplastic, dysplastic, or cancer; results were compared to histologic diagnosis. Autofluorescence imaging at 405-nm excitation provided the greatest image contrast, and the ratio of red-to-green fluorescence intensity computed from these images provided the best classification of dysplasia/cancer versus non-neoplastic tissue. A sensitivity of 100% and a specificity of 85% were achieved in the validation set. Multispectral widefield images can accurately distinguish neoplastic and non-neoplastic tissue; however, the ability to separate precancerous lesions from cancers with this technique was limited. (C) 2010 Society of Photo-Optical Instrumentation Engineers. [DOI: 10.1117/1.3516593]

Adoption of integrated production of peach system in Parana State

The success in the adoption of peach integrated production (IP) was evaluated in small orchards of the Parana State. The importance of specific technical accompaniment; points of strangulating in adoption of technology and the classification of the areas to IP conformity were evaluated. The seasons 2005/2006 (without IP orientation) and 2006/2007 (with IP orientation) were compared considering 20 producers who were oriented monthly to attend the minimum requisites. The incidence of peach rust (Tranzschelia discolor) and of brown rot (Monilinia fructicola) in full bloom was evaluated in 2006/2007 and 2007/2008 seasons, as biological parameters to accompany the efficiency of system adoption. After the technical accompaniment in 2007/2008 season, the software APOIA-Novo Rural-PI (APOIA-PI) was applied to measure the conformity to IP in peach orchards. The conformity index of each orchard was compared to the minimum requisite to classify as IP (0.7). The major difficulties in register of field book were: pests monitoring; collect of climate data and the harvest evaluation. The technical accompaniment increased in 60% the conformity in use of field book. In 2007/2008 season, the brown rot incidence increased in some areas, caused by not following IP recommendations. The inadequate management caused the increment in pathogen inoculum, promoting the disease development in peach orchards. The APOIA-PI classified two orchards as good agricultural practices (GAP) (0.7 <= conformity index >= 0.4), two as integrated production (IP) (>= 0.7) and the other orchards had conformity index lower than 0.4.

Landscape unit discrimination for pedological surveys by orbital spectral response

Landscape unit discrimination for pedological surveys by orbital spectral response. The objective of tins study was compare two soil survey methods. The first was performed by methods traditionally used to distinguish landscape units and soil class discrimination. The second was based on soil class distinction through orbital spectral response. In order to establish soil characteristics and their classification, soil samples were collected at two depths in a grid system, with a distance of 500 meters between points. With these samples, physical and chemical analyses were carried out. In the sampling points, the apparent reflectance of the soil, front the orbital image, was determined and, through cluster analysis landscape units were established. In order to evaluate the resemblance reliability between the landscape units established in each method, the Kappa index was used, the value set for the confusion matrix was 0.43, indicating high quality in the comparison, showing that the non-conventional method was as close as the one carried out by photointerpretation.

A fuzzy Reed-Frost model for epidemic spreading

In this paper, we present a fuzzy approach to the Reed-Frost model for epidemic spreading taking into account uncertainties in the diagnostic of the infection. The heterogeneities in the infected group is based on the clinical signals of the individuals (symptoms, laboratorial exams, medical findings, etc.), which are incorporated into the dynamic of the epidemic. The infectivity level is time-varying and the classification of the individuals is performed through fuzzy relations. Simulations considering a real problem with data of the viral epidemic in a children daycare are performed and the results are compared with a stochastic Reed-Frost generalization.

Interleukin-12 but not interieukin-18 is associated with severe endometriosis

Objective: To evaluate interleukin (IL)-12 and IL-18 levels in the serum and peritoneal fluid of women with and without endometriosis. Design: Cross-sectional survey. Setting: University hospital. Patients: Interleukin-12 and IL-18 levels were compared in 105 patients submitted to laparoscopy because of symptoms suggestive of endometriosis (pain and/or infertility). The disease was confirmed in 72 patients (study group), while in 33 patients findings were not compatible with endometriosis (control group). Intevention(s): Blood sample and peritoneal fluid were obtained from patients during videolaparoscopy. Main Outcome Measure(s): The levels of IL-12 and IL-18 in peripheral blood and peritoneal fluid were determined and compared with the stage and site of the disease and histologic classification. Result(s): IL-12 levels measured in peritoneal fluid were higher inpatients with endometriosis compared with the control group. A significant increase in IL-12 levels was found when the more advanced stages of the disease were compared with the initial stages. No statistically significant differences were found in IL-18 levels, either in serum or in peritoneal fluid samples. Conclusion(s): Patients with severe endometriosis have higher IL-12 levels irrespective of IL-18 levels, suggesting that in this disease an alternative pathway is involved in induction of the Th1 immune response. (Fertil Steril (R) 2009;91:320-4. (C)2009 by American Society for Reproductive Medicine.)

Myocardial Perfusion Imaging Is a Strong Predictor of Death in Women

OBJECTIVES We sought to assess the prognostic value and risk classification improvement using contemporary single-photon emission computed tomography myocardial perfusion imaging (SPECT-MPI) to predict all-cause mortality. BACKGROUND Myocardial perfusion is a strong estimator of prognosis. Evidence published to date has not established the added prognostic value of SPECT-MPI nor defined an approach to detect improve classification of risk in women from a developing nation. METHODS A total of 2,225 women referred for SPECT-MPI were followed by a mean period of 3.7 +/- 1.4 years. SPECT-MPI results were classified as abnormal on the presence of any perfusion defect. Abnormal scans were further classified as with mild/moderate reversible, severe reversible, partial reversible, or fixed perfusion defects. Risk estimates for incident mortality were categorized as <1%/year, 1% to 2%/year, and >2%/year using Cox proportional hazard models. Risk-adjusted models incorporated clinical risk factors, left ventricular ejection fraction (LVEF), and perfusion variables. RESULTS All-cause death occurred in 139 patients. SPECT-MPI significantly risk stratified the population; patients with abnormal scans had significantly higher death rates compared with patients with normal scans, 13.1% versus 4.0%, respectively (p < 0.001). Cox analysis demonstrated that after adjusting for clinical risk factors and LVEF, SPECT-MPI improved the model discrimination (integrated discrimination index = 0.009; p = 0.02), added significant incremental prognostic information (global chi-square increased from 87.7 to 127.1; p < 0.0001), and improved risk prediction (net reclassification improvement = 0.12; p = 0.005). CONCLUSIONS SPECT-MPI added significant incremental prognostic information to clinical and left ventricular functional variables while enhancing the ability to classify this Brazilian female population into low-and high-risk categories of all-cause mortality. (J Am Coll Cardiol Img 2011;4:880-8) (C) 2011 by the American College of Cardiology Foundation

Evolution of Laparoscopic Colorectal Surgery in Brazil Results of 4744 Patients From the National Registry

Background: Since its introduction, laparoscopic colorectal surgery has raised intense debate and controversies regarding its safety and effectiveness. Methods: This multicentric registry reports the experience of 28 Brazilian surgical teams specializing in laparoscopic colorectal surgery. Results: Between 1992 and 2007, 4744 patients (1994 men-42% and 2750 women-58%) were operated upon, with ages ranging from 13 to 94 years (average 57.5y). Benign diseases were diagnosed in 2356 patients (49.6%). Most diseases were located in 50.7% of the left and sigmoid colon, 28.2% in the rectum and anal canal. 8.0% in the right colon, and diffuse 7.0%. There were 181 (3.8%) intraoperative complications (from 0% to 14%). There were 261 (5.5%) reported conversions to laparotomy (from 0% to 16.5%), mainly during the early experience (n = 119 - 59.8%). Postoperative complications were registered in 683 (14.5%) patients (from 5.0% to 50%). Mortality occurred in 43 patients (0.8%). Surgeons who performed less than 50 cases reported similar rates of intraoperative (4.2% vs. 3.8%,- P = 0.7), postoperative complications (20.8% vs. 14.3%; P = 0.07), and mortality (1.0% vs. 0.9%; P = 0.5) but the conversion rate was higher (10.4% vs. 5.4%; P = 0.04). Two thousand three hundred and eighty-nine (50.4%) malignant tumors were operated upon, and histologic classification showed 2347 (98%) adenocarcinomas, 30 (0.6%) spinocelular carcinomas, and 12 (0.2%) other histologic types. Tumor recurrence rate was 16.3% among patients followed more than I year. After an average follow-Lip of 52 months, 19 (0.8%) parietal recurrences were reported, 18 of which were in port sites and I in a patient with disseminated disease. There was no incisional recurrence in the ports used to withdraw the pathologic specimen. Compared with other registries, there was a 75% increase in the number of groups pet-forming laparoscopic colorectal surgery and a decrease in conversions (from 10.5%. to 5.5%) and mortality (from 1.5% to 0.9%) rates. Conclusions: (1) The number of patients operated upon increased expressively during the last years; (2) operative indications for benign and malignant diseases were similar, and diverticular disease of the colon comprised 40% of the benign ones; (3) conversion and mortality rates decreased over time; (4) Surgeon`s experience did not influence the complication rates, but was associated with a lower conversion; and (5) oncologic outcome expressed by recurrence rates showed results similar to those reported in conventional surgery.

Nonsyndromic Alar Clefts: Report of Five Brazilian Patients

Nonsyndromic alar clefts are rare and they range from a small notch to variable size of clefts of the nasal ala. Usually they are restricted to the alar region, but other minor anomalies such as midline nasal sinuses and small midline or ""northbound"" clefts can be present. To date all reported cases of nonsyndromic alar clefts have been sporadic. Here we report on five new cases of isolated and nonsyndromic alar clefts. (C) 2009 Wiley-Liss, Inc.

Craniometaphyseal Dysplasia With Severe Craniofacial Involvement Shows Homozygosity at 6q21-22.1 Locus

Craniotubular dysplasias (CTD) are a heterogeneous group of genetic disorders of skeletal development, whose clinical and etiological classification is still much debated. One of the most common form is the autosomal dominant craniometaphyseal dysplasia (CMD) which is associated with mutation in the ANKH gene. In the literature a few families are reported with CMD phenotype that suggest an autosomal recessive (AR) pattern of inheritance. A candidate locus at 6q21-22 has been mapped in a large inbred Brazilian family, but the gene of the recessive form is still unknown. Our data on a female patient with CMD phenotype, born from healthy first degree cousins and displaying homozygosity for polymorphic markers at the 6q21-22 locus, further support the existence of an AR CMD, expanding its clinical spectrum to a more severe phenotype. (C) 2011 Wiley-Liss, Inc.

A review on the combination of binary classifiers in multiclass problems

Several real problems involve the classification of data into categories or classes. Given a data set containing data whose classes are known, Machine Learning algorithms can be employed for the induction of a classifier able to predict the class of new data from the same domain, performing the desired discrimination. Some learning techniques are originally conceived for the solution of problems with only two classes, also named binary classification problems. However, many problems require the discrimination of examples into more than two categories or classes. This paper presents a survey on the main strategies for the generalization of binary classifiers to problems with more than two classes, known as multiclass classification problems. The focus is on strategies that decompose the original multiclass problem into multiple binary subtasks, whose outputs are combined to obtain the final prediction.

A pattern recognition approach to complex networks

Complex networks exist in many areas of science such as biology, neuroscience, engineering, and sociology. The growing development of this area has led to the introduction of several topological and dynamical measurements, which describe and quantify the structure of networks. Such characterization is essential not only for the modeling of real systems but also for the study of dynamic processes that may take place in them. However, it is not easy to use several measurements for the analysis of complex networks, due to the correlation between them and the difficulty of their visualization. To overcome these limitations, we propose an effective and comprehensive approach for the analysis of complex networks, which allows the visualization of several measurements in a few projections that contain the largest data variance and the classification of networks into three levels of detail, vertices, communities, and the global topology. We also demonstrate the efficiency and the universality of the proposed methods in a series of real-world networks in the three levels.

ENHANCING MULTISCALE FRACTAL DESCRIPTORS USING FUNCTIONAL DATA ANALYSIS

This work presents a novel approach in order to increase the recognition power of Multiscale Fractal Dimension (MFD) techniques, when applied to image classification. The proposal uses Functional Data Analysis (FDA) with the aim of enhancing the MFD technique precision achieving a more representative descriptors vector, capable of recognizing and characterizing more precisely objects in an image. FDA is applied to signatures extracted by using the Bouligand-Minkowsky MFD technique in the generation of a descriptors vector from them. For the evaluation of the obtained improvement, an experiment using two datasets of objects was carried out. A dataset was used of characters shapes (26 characters of the Latin alphabet) carrying different levels of controlled noise and a dataset of fish images contours. A comparison with the use of the well-known methods of Fourier and wavelets descriptors was performed with the aim of verifying the performance of FDA method. The descriptor vectors were submitted to Linear Discriminant Analysis (LDA) classification method and we compared the correctness rate in the classification process among the descriptors methods. The results demonstrate that FDA overcomes the literature methods (Fourier and wavelets) in the processing of information extracted from the MFD signature. In this way, the proposed method can be considered as an interesting choice for pattern recognition and image classification using fractal analysis.