Feasibility of Measuring Tobacco Smoke Air Pollution in Homes: Report from a Pilot Study.

Tobacco smoke air pollution (TSAP) measurement may persuade parents to adopt smoke-free homes and thereby reduce harm to children from tobacco smoke in the home. In a pilot study involving 29 smoking families, a Sidepak was used to continuously monitor home PM(2.5) during an 8-h period, Sidepak and/or Dylos monitors provided real-time feedback, and passive nicotine monitors were used to measure home air nicotine for one week. Feedback was provided to participants in the context of motivational interviews. Home PM(2.5) levels recorded by continuous monitoring were not well-accepted by participants because of the noise level. Also, graphs from continuous monitoring showed unexplained peaks, often associated with sources unrelated to indoor smoking, such as cooking, construction, or outdoor sources. This hampered delivery of a persuasive message about the relationship between home smoking and TSAP. By contrast, immediate real-time PM(2.5) feedback (with Sidepak or Dylos monitor) was feasible and provided unambiguous information; the Dylos had the additional advantages of being more economical and quieter. Air nicotine sampling was complicated by the time-lag for feedback and questions regarding shelf-life. Improvement in the science of TSAP measurement in the home environment is needed to encourage and help maintain smoke-free homes and protect vulnerable children. Recent advances in the use of mobile devices for real-time feedback are promising and warrant further development, as do accurate methods for real-time air nicotine air monitoring

Genetically modified Cotton species detection by LISS-III satellite data

It is possible to infer the genetically modified species by using remotely sensed data. Using ERDAS software the algorithm of BT (Bacillus thuringiensis) Cotton in Punjab, India was developed successfully. GPS enabled space technology has the potential to identify the exact location of Bt Cotton by generating Normalized Difference Vegetation Index (NDVI) for the calculation of total area covered by this species. It was possible to develop a correlation in between genetically modified Cotton crop and NDVI value. In parts of Bhatinda district of Punjab the yield of Bt Cotton and NDVI showing R2 value of more than 4.5 in regression analysis. A correlation matrix was also generated which shows that NDVI values of BT cotton has reasonably acceptable correlation with Total Dissolved Solids (TDS) of soil and water also

Seasonal incidence of pod fly (Melanogromyza Obtusa Malloch) and pod bug (Clavigralla Gibbosa Spinola) in short duration pigeon pea

The present study was aimed at observing the incidence pattern of pod fly and pod bug in pigeonpea ecosystem. The experiment was conducted at Agricultural Research Farm, Banaras Hindu University, Varanasi during the kharif season of the year 2010-11.The short duration pigeon pea was infested with the number of insect pests at various stages of crop growth. Out of which the incidence pattern of pod fly M. obtusa and pod bug C. gibbosa was studied. The first appearance of pod fly M. obtusa was noticed in the 42 standard week with a mean population of 0.10 maggot/Plant whose maggot population peaked in 45 standard weeks with a mean population of 0.30 maggot/Plant during year 2010-11. Similarly the first occurrence of pod bug C. gibbosa was recorded in 40 standard weeks with a mean population of 0.03 larvae/Plant which attained the peak during 44 and 45 standard weeks, in both the week themean population was 0.40 larvae/Plant. The incidence of all the insect pests although declined after attainment of their respective peak, but pod bug were noticed in the field till the harvest of the crop. To undertake an effective IPM strategy in pigeonpea crop, location specific information on occurrence and seasonal dynamics of insect pests is indispensible

Determination of the size of the dust torus in H0507+164 through optical and infrared monitoring

The time delay between flux variations in different wavelength bands can be used to probe the inner regions of active galactic nuclei (AGN). Here, we present the first measurements of the time delay between optical and near-infrared (NIR) flux variations in H0507+164, a nearby Seyfert 1.5 galaxy at z = 0.018. The observations in the optical V -band and NIR J, H and Ks bands carried over 35 epochs during the period October 2016 to April 2017 were used to estimate the inner radius of the dusty torus. From a careful reduction and analysis of the data using cross-correlation techniques, we found delayed responses of the J, H and Ks light curves to the V -band light curve. In the rest frame of the source, the lags between optical and NIR bands are found to be $27.1^{+13.5}_{-12.0}$ days (V vs. J), $30.4^{+13.9}_{-12.0}$ days (V vs. H) and $34.6^{+12.1}_{-9.6}$ days (V vs. K ). The lags between the optical and different NIR bands are thus consistent with each other. The measured lags indicate that the inner edge of dust torus is located at a distance of 0.029 pc from the central UV/optical AGN continuum. This is larger than the radius of the broad line region of this object determined from spectroscopic monitoring observations thereby supporting the unification model of AGN. The location of H0507+164 in the {\tau} - MV plane indicates that our results are in excellent agreement with the now known lag-luminosity scaling relationship for dust in AGN.Comment: 8 pages, 4 figures, accepted by MNRAS main journa

Combining ability analysis for yield and quality traits in single cross hybrids of quality protein maize (Zea mays L.) using diallel mating design

Forty-five single-cross hybrids developed (in rabi 2014) from ten inbred lines of quality protein maize through diallel mating design along with four checks viz., Pratap QPM Hybrid- 1, Vivek QPM- 9, HQPM- 1 and HQPM-5 were evaluated in randomized block design with three replications for yield and quality traits during kharif-2014, to estimate the gca (general combining ability) of the parents and sca (specific combining ability) of hybrids considered for the development of high yielding varieties. The analysis of variance for combining ability revealed significant mean sum of squares due to gca and sca for all the traits, except mean sum of square due to gca for num-ber of grain rows per ear. Ratio of ?2 sca / ? 2 gca was greater than one for all the traits, thereby indicating the preponderance of non-additive gene effects in the expression of these traits. Inbred line P8 and P5 has been found good general combiner with highest magnitude of gca effects 10.46 and 8.89, respectively and high per se i.e. 52.33 g and 44.67 g, respectively for grain yield per plant and majority of traits. Hybrids P6xP8, P5xP8, P3xP5, P5xP7 and P1xP8 showed higher significant positive sca effects ranged from 25.66 to 34.59 along with good per se ranged from 98.00 to 107.67 g for grain yield per plant. These hybrids also exhibited significant positive sca effects for most of the yield and quality traits under study, indicating potential and may be used for exploiting hybrid vigour in in QPM hybrid breeding programmes

Linguistic entrenchment: Prior knowledge impacts statistical learning performance

Available online 26 April 2018.Statistical Learning (SL) is typically considered to be a domain-general mechanism by which cognitive systems discover the underlying statistical regularities in the input. Recent findings, however, show clear differences in processing regularities across modalities and stimuli as well as low correlations between performance on visual and auditory tasks. Why does a presumably domain-general mechanism show distinct patterns of modality and stimulus specificity? Here we claim that the key to this puzzle lies in the prior knowledge brought upon by learners to the learning task. Specifically, we argue that learners’ already entrenched expectations about speech co-occurrences from their native language impacts what they learn from novel auditory verbal input. In contrast, learners are free of such entrenchment when processing sequences of visual material such as abstract shapes. We present evidence from three experiments supporting this hypothesis by showing that auditory-verbal tasks display distinct item-specific effects resulting in low correlations between test items. In contrast, non-verbal tasks – visual and auditory – show high correlations between items. Importantly, we also show that individual performance in visual and auditory SL tasks that do not implicate prior knowledge regarding co-occurrence of elements, is highly correlated. In a fourth experiment, we present further support for the entrenchment hypothesis by showing that the variance in performance between different stimuli in auditory-verbal statistical learning tasks can be traced back to their resemblance to participants' native language. We discuss the methodological and theoretical implications of these findings, focusing on models of domain generality/specificity of SL.This paper was supported by the ERC Advanced grant awarded to Ram Frost (project 692502-L2STAT), the Israel Science Foundation (Grant 217/14 awarded to Ram Frost) and by the National Institute of Child Health and Human Development (RO1 HD 067364 awarded to Ken Pugh and Ram Frost, and PO1 HD 01994 awarded to Haskins Laboratories). Louisa Bogaerts received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 743528 (IF-EF)

Overlapping Splicing Regulatory Motifs—Combinatorial Effects on Splicing

Regulation of splicing in eukaryotes occurs through the coordinated action of multiple splicing factors. Exons and introns contain numerous putative binding sites for splicing regulatory proteins. Regulation of splicing is presumably achieved by the combinatorial output of the binding of splicing factors to the corresponding binding sites. Although putative regulatory sites often overlap, no extensive study has examined whether overlapping regulatory sequences provide yet another dimension to splicing regulation. Here we analyzed experimentally-identified splicing regulatory sequences using a computational method based on the natural distribution of nucleotides and splicing regulatory sequences. We uncovered positive and negative interplay between overlapping regulatory sequences. Examination of these overlapping motifs revealed a unique spatial distribution, especially near splice donor sites of exons with weak splice donor sites. The positively selected overlapping splicing regulatory motifs were highly conserved among different species, implying functionality. Overall, these results suggest that overlap of two splicing regulatory binding sites is an evolutionary conserved widespread mechanism of splicing regulation. Finally, over-abundant motif overlaps were experimentally tested in a reporting minigene revealing that overlaps may facilitate a mode of splicing that did not occur in the presence of only one of the two regulatory sequences that comprise it