O amor natural e o projeto poético-pensante de Carlos Drummond de Andrade

Leitura de O amor natural (1992) livro póstumo de poemas eróticos como coroação do projeto poético-pensante de Carlos Drummond de Andrade. Na construção da argumentação teórica, agenciam-se estudos críticos e historiográficos importantes no cenário brasileiro a respeito do poeta mineiro e recorre-se, ainda, ao pensamento de Martin Heidegger no ensaio A origem da obra de arte. No primeiro capítulo, é feita uma revisão da fortuna crítica que a poética drummondiana engendrou; no segundo capítulo, lê-se o todo desta produção como um projeto; no terceiro, descreve-se e analisa-se O amor natural

Comparative Performance of Mango Varieties Grafted on Vellaikolamban and Mixed Rootstock

Research on rootstock in mango is very limited in our country. Kalapady was reported to be a dwarfing rootstock. Recent trend among mango growers is to high density orcharding with dwarfening nature of the varietie. Efforts were made at Agriculture Research Station, Mulde, to study comparative performance of Ratna, Alphonso and Kesar mango on Vellaikolamban and mixed rootstock i.e., heterozygous seedling stock and the effect of rootstock on a scion under high density of 5m x 5m spacing. Results indicated that use of Vellaikolamban rootstock reduced plant volume in scion cv. Alphonso by 39.1%, followed by 24.9% in Ratna and 26.5% in cv. Kesar. As volume of the canopy was reduced, it directly influenced fruit yield cvs. Alphonso and Ratna. However, reduction in canopy volume had a positive influence on yield in cv. Kesar. Net returns of Rs.38,629/- per ha were maximum for Kesar with the rootstock Vellaikolamban

High Density Planting in Mango cv. Alphonso

A trial was conducted to optimize spacing for high density planting in mango cv. Alphonso to obtain higher yield/ unit area at the Agriculture Research Station, Mulde, during 2006-07 to 2008-09 with four close spacings and one normal spacing as control. Highest yield (6.4 MT/ha) was recorded with a spacing of 5 m x 5 m without reduction in fruit size in 10 year old plants compared to the mean yield of 1.12 MT/ha in 10m x 10m normal spacing. High density plantation helped to get significantly higher yield per unit area compared to the normal spacing, without affecting size and quality of mango fruits. The highest cost:benefit ratio (2.33) was recorded in high density plantation of 5m x 5m, with maximum net returns of Rs.1,12,000/- per hectare. The present findings show promise for more yield and returns per unit area during the initial years of mango plantation by adopting 5m x 5m high density planting

Supporting User-Defined Functions on Uncertain Data

Uncertain data management has become crucial in many sensing and scientific applications. As user-defined functions (UDFs) become widely used in these applications, an important task is to capture result uncertainty for queries that evaluate UDFs on uncertain data. In this work, we provide a general framework for supporting UDFs on uncertain data. Specifically, we propose a learning approach based on Gaussian processes (GPs) to compute approximate output distributions of a UDF when evaluated on uncertain input, with guaranteed error bounds. We also devise an online algorithm to compute such output distributions, which employs a suite of optimizations to improve accuracy and performance. Our evaluation using both real-world and synthetic functions shows that our proposed GP approach can outperform the state-of-the-art sampling approach with up to two orders of magnitude improvement for a variety of UDFs. 1

Risk-Averse Matchings over Uncertain Graph Databases

A large number of applications such as querying sensor networks, and analyzing protein-protein interaction (PPI) networks, rely on mining uncertain graph and hypergraph databases. In this work we study the following problem: given an uncertain, weighted (hyper)graph, how can we efficiently find a (hyper)matching with high expected reward, and low risk? This problem naturally arises in the context of several important applications, such as online dating, kidney exchanges, and team formation. We introduce a novel formulation for finding matchings with maximum expected reward and bounded risk under a general model of uncertain weighted (hyper)graphs that we introduce in this work. Our model generalizes probabilistic models used in prior work, and captures both continuous and discrete probability distributions, thus allowing to handle privacy related applications that inject appropriately distributed noise to (hyper)edge weights. Given that our optimization problem is NP-hard, we turn our attention to designing efficient approximation algorithms. For the case of uncertain weighted graphs, we provide a $\frac{1}{3}$-approximation algorithm, and a $\frac{1}{5}$-approximation algorithm with near optimal run time. For the case of uncertain weighted hypergraphs, we provide a $\Omega(\frac{1}{k})$-approximation algorithm, where $k$ is the rank of the hypergraph (i.e., any hyperedge includes at most $k$ nodes), that runs in almost (modulo log factors) linear time. We complement our theoretical results by testing our approximation algorithms on a wide variety of synthetic experiments, where we observe in a controlled setting interesting findings on the trade-off between reward, and risk. We also provide an application of our formulation for providing recommendations of teams that are likely to collaborate, and have high impact.Comment: 25 page

Parasitism capacity of Trichogramma pretiosum on eggs of Trichoplusia ni at different temperatures.

ABSTRACT: Trichogramma spp. are egg parasitoids of various pest species of Lepidoptera including Trichoplusia ni, an important pest of plants in the genus Brassica. Of the climatic conditions that can impair Trichogramma spp. parasitism capacity, the temperature is critical. Thus, the objective of this research was to evaluate the parasitism capacity of Trichogramma pretiosum on eggs of T. ni at 18, 21, 24, 27, 30, and 33ºC; 70±10% RH; and 12/12 hours photophase (L/D). Fresh eggs of the host moth were offered to T. pretiosum daily. The parasitism rate varied between 8 and 11.4 eggs/female at the temperatures evaluated for the first 24 hours. The highest number of parasitized eggs per female occurred at 24ºC (53.0 parasitized eggs/female). The period of parasitism and the mean longevity of females were inversely related to the temperature. Temperature heavily influences the parasitism rate of T. pretiosum on eggs of T. ni, and the best overall performance of the parasitoid occurs from 24 to 27ºC. RESUMO. Trichogramma spp. são parasitoide de ovos de várias espécies pragas de Lepidoptera incluindo Trichoplusia ni, uma importante praga de plantas do gênero Brassica. Das condições climáticas que podem influenciar a capacidade de parasitismo de Trichogramma spp., a temperatura é uma das principais. Portanto, o objetivo deste trabalho foi avaliar a capacidade de parasitismo de Trichogramma pretiosum em ovos de T. ni nas temperaturas de 18, 21, 24, 27, 30 e 33ºC; 70±10% UR; e 14/12h fotofase. Ovos frescos de T. ni foram oferecidos diariamente para T. pretiosum. A taxa de parasitismo nas primeiras 24h variou de 8 a 11,4 ovos/fêmea do parasitoide entre as temperaturas avaliadas. O maior número de ovos parasitados por fêmea ocorreu a 24ºC (53,0 ovos parasitados/fêmea). O tempo de parasitismo e a longevidade média dos parasitoides adultos foram inversamente relacionados à temperatura. Temperatura influência enormemente no parasitismo de T. pretiosum em ovos de T. ni, e os melhores resultados do parasitoide foram obtidos de 24 a 27ºC

Social media addiction: applying the DEMATEL approach

While there is a growing number of studies investigating the determinants of social media addiction, there is a lack of research on examining the importance of such predictors and their inter-correlations and inter-dependences from psychotherapists’ and researchers’ point of views. Hence, utilizing the “Decision Making Trial and Evaluation Laboratory (DEMATEL)” technique, the current study investigated the clinical importance of social media addiction from the perspective of researchers and psychotherapists. Accordingly, by reviewing the literature 15 distal predictors of social media addiction were extracted and further classified into three groups of personality factors, comorbid symptoms, and psychosocial factors. From the data collected from 35 respondents, the results highlighted the group of personality factors as the most important dimension increasing the risk for developing social media addiction from the respondents’ perspective. Moreover, the DEMATEL results revealed the predictors of openness to experience (personality dimension), loneliness (psychosocial), and depression (comorbid) as the most important predictors of social media addiction within each group. The results and implications of the study are discussed

Factors influencing beliefs formation towards the adoption of social commerce in SME travel agencies

The purpose of this study is to investigate the factors that influence beliefs formation towards the adoption of social commerce in SME travel agencies. Accordingly, a distal-proximal model is developed to study CEOs’ beliefs towards the usefulness of social commerce. Data were collected through a questionnaire survey of travel agencies’ CEOs in Isfahan, Iran. With 180 collected data from respondents, the Partial Least Squares-Structural Equation Modeling approach was taken to assess both measurement and structural models of the study. The results revealed that CEOs’ innovativeness and attitude towards IT as individual factors, and organizational resources as institutional factor were significantly explained beliefs formation of respondents towards the usefulness of social commerce. However, it was found that the influences of CEOs’ IT knowledge, subjective norms (professional peers, employees) and firm size on perceived usefulness were found insignificant. Implications of the study are further discussed

Development of a stability-indicating UPLC method for determination of isotretinoin in bulk drug

A highly sensitive and rapid stability indicating ultra-performance liquid chromatographic (UPLC) method was developed for the quantification and identification of isotretinoin in bulk. Chromatographic separation was developed using a gradient elution in a reversed-phase system at flow rate of 0.5 ml/min with 12 min run time. The mobile phase was a gradient mixture of mobile phase A (contained a 30:70:0.5 mixture solution of methanol/purified water/glacial acetic acid) and mobile phase B (contained a 70:25:4.5:0.5 mixture solution of methanol/acetonitrile/purified water/glacial acetic acid). Eluents were monitored at 355 nm. The analytical method was validated for accuracy, precision, robustness, linearity, and forced degradation in accordance with the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) topic Q2 (R1) ‘Validation of Analytical Procedures: Text and Methodology’. The method was linear over a concentration range of (1–7 µg/ml) with correlation coefficient of (r2 > 0.9999). The accuracy was confirmed by calculating the % recovery which was found to be 100.0–101.6%. The RSD values obtained for repeatability and intermediate precision experiments were less than 2%. The limit of detection (LOD) was 0.12 µg/ml, while the limit of quantification (LOQ) was 0.38 µg/ml. The drug samples were exposed to different stressed conditions and the results showed that all degradation products were satisfactorily separated from each other and from the peak of the drug using the developed method. The proposed method can be used for the quantitative determination of isotretinoin with confidence