Effectiveness of body–mind–spirit intervention on well‐being, functional impairment and quality of life among depressive patients – a randomized controlled trial

Aim The aim of the study was to examine the efficacy of body–mind–spirit Intervention in improving the outcomes (well-being, quality of life and functional impairment) among depressive patients. Background Depressive disorders lead to significant dysfunction, disability and poor quality of life among sufferers. Body–mind–spirit intervention has been associated with improvements in the outcomes; however, few studies have examined this among depressive patients. Design True experimental pre–post equivalent groups design was adopted with longitudinal measurement of outcomes. Methods Participants were 120 adult depressive patients visiting the psychiatric outpatient department in a District Hospital in India. The participants were randomly assigned to either the body–mind–spirit group or the treatment-as-usual group between July 2011–January 2013. The treatment-as-usual group (n = 64) received only routine treatment (antidepressants and structured psycho-education) in the hospital. The body–mind–spirit group (n = 56) received four weekly body–mind–spirit group sessions in addition to the routine treatment. Outcome measures on depression, well-being, functional impairment and quality of life were evaluated for both groups at baseline and at four follow-up assessments in the 1st, 2nd, 3rd and 6th month. Treatment effects of the body–mind–spirit intervention were analysed by repeated-measures analysis of covariance. Findings Compared with the treatment-as-usual group, the body–mind–spirit group showed significant reduction in depression and functional impairment, and significant improvement in the well-being and quality of life scores over the 6-month study period. Conclusion The present findings provided evidence for the effectiveness of integrating a complementary therapy such as the body–mind–spirit intervention with conventional treatment in improving prospective outcomes among the depressive patients.postprin

A study on clinico social impact of teenage pregnancy in a tertiary care hospital

Background: In India, teenage pregnancy is an important public-health problem, although the national policy of the Government of India advocates the minimum legal age of marriage for girls to be 18 years. Data of the National Family Health Survey (NFHS)-3 revealed that 16% of women, aged 15-19 years, have already started childbearing. Teenage pregnancies represent a high-risk group in reproductive terms because of the double burden of reproduction and growth. Complications of pregnancy and childbirth are the leading cause of mortality among girls aged 15-19 years in developing countries. Aim and objective of the study was to study the prevalence of teenage pregnancies and to study the clinic social impact of teenage pregnancies.Methods: The observational cross-sectional study was conducted in Government General Hospital, Guntur in the department of Obstetrics and Gynaecology over three Months from August to October 2018. All pregnant women coming to either OPD or directly to the labour room were included in the study group. History was taken and examination was done.Results: Among the 709 deliveries in the institute, 138 are teenage pregnancies contributing to 19.4%. Prevalence of anaemia in teenage mothers is as high as 63.7%, pregnancy induced hypertension contributing to 26.8% and abortions 9.4%. The neonatal outcome is poor in teenage mothers, low birth weight 20.2% contributing to the main morbidity.Conclusions: Teenage pregnancy is associated with an increased incidence of preeclampsia, eclampsia, preterm delivery, increased incidence of instrumental deliveries and lower segment caesarean sections due to cephalopelvic disproportion, neonatal complications, increased neonatal morbidity and mortality mainly due to low birth weight was noted in babies delivered to teenage mothers.

Easing Operative User Steering through Website Construction Development

Data Mining is a step of Knowledge Discovery in Databases. Clustering can be considered the most important unsupervised learning technique so, as every other problem of this kind, it deals with finding a structure in a collection of unlabeled data and mining major issue is removing unrelavent data. But here we did not find these type data its fail on removing irrelevant and remove back tracking. For this type of problems Designing well-Construction websites to facilitate Operative user Steering has long been a challenge. While various methods have been proposed to re link web pages to improve navigability using user Steering data, the completely reorganized new Construction can be highly unpredictable, and the cost of disorienting users after the changes remains unanalyzed. This paper addresses how to improve a website without introducing substantial changes. By analyzing the efficiency of the proposed work and the existing work, the time taken to retrieve the data will be better in the proposed by removing all the irrelevant features which are gets analyzed. The experimental results are better than 18% on removing irrelevant and 26% for back tracks it is better solution for previous methods

Easing Operative User Steering through Website Construction Development

Designing well-Construction websites to facilitate Operative user Steering has long been a challenge. A primary reason is that the web developers’ understanding of how a website should be Construction can be considerably different from that of the users. While various methods have been proposed to re link web pages to improve navigability using user Steering data, the completely reorganized new Construction can be highly unpredictable, and the cost of disorienting users after the changes remains unanalyzed. This paper addresses how to improve a website without introducing substantial changes. Specifically, we propose a mathematical programming model to improve the user Steering on a website while minimizing alterations to its current Construction. Results from extensive tests conducted on a publicly available real data set indicate that our model not only significantly improves the user Steering with very few changes, but also can be Operatively solved. We have also tested the model on large synthetic data sets to demonstrate that it scales up very well. In addition, we define two evaluation metrics and use them to assess the performance of the improved website using the real data set. Evaluation results confirm that the user Steering on the improved Construction is indeed greatly enhanced. More interestingly, we find that heavily disoriented users are more likely to benefit from the improved Construction than the less disoriented users

Potato virus X TGBp1 induces plasmodesmata gating and moves between cells in several host species whereas CP moves only in N. benthamiana leaves

AbstractExperiments were conducted to compare the plasmodesmal transport activities of Potato virus X (PVX) TGBp1 and coat protein (CP) in several plant species. Microinjection experiments indicated that TGBp1 gates plasmodesmata in Nicotiana tabacum leaves. These results support previous microinjection studies indicating that TGBp1 gates plasmodesmata in Nicotiana benthamiana and Nicotiana clevelandii leaves. To study protein movement, plasmids expressing the green fluorescent protein (GFP) gene fused to the PVX TGBp1 or CP genes were biolistically bombarded to leaves taken from four different PVX host species. GFP/TGBp1 moved between adjacent cells in N. tabacum, N. clevelandii, N. benthamiana, and Lycopersicon esculentum, whereas GFP/CP moved only in N. benthamiana leaves. Mutations m12 and m13 were introduced into the TGBp1 gene and both mutations eliminated TGBp1 ATPase active site motifs, inhibited PVX movement, reduced GFP/TGBp1 cell-to-cell movement in N. benthamiana leaves, and eliminated GFP/TGBp1 movement in N. tabacum, N. clevelandii, and L. esculentum leaves. GFP/TGBp1m13 formed aggregates in tobacco cells. The ability of GFP/CP and mutant GFP/TGBp1 fusion proteins to move in N. benthamiana and not in the other PVX host species suggests that N. benthamiana plants have a unique ability to promote protein intercellular movement

Stress Inducible Overexpression of AtHDG11 Leads to Improved Drought and Salt Stress Tolerance in Peanut (Arachis hypogaea L.)

Peanut is an important oilseed and food legume cultivated as a rain-fed crop in semi-arid tropics. Drought and high salinity are the major abiotic stresses limiting the peanut productivity in this region. Development of drought and salt tolerant peanut varieties with improved yield potential using biotechnological approach is highly desirable to improve the peanut productivity in marginal geographies. As abiotic stress tolerance and yield represent complex traits, engineering of regulatory genes to produce abiotic stress-resilient transgenic crops appears to be a viable approach. In the present study, we developed transgenic peanut plants expressing an Arabidopsis homeodomain-leucine zipper transcription factor (AtHDG11) under stress inducible rd29A promoter. A stress-inducible expression of AtHDG11 in three independent homozygous transgenic peanut lines resulted in improved drought and salt tolerance through up-regulation of known stress responsive genes (LEA, HSP70, Cu/Zn SOD, APX, P5CS, NCED1, RRS5, ERF1, NAC4, MIPS, Aquaporin, TIP, ELIP) in the stress gene network, antioxidative enzymes, free proline along with improved water use efficiency traits such as longer root system, reduced stomatal density, higher chlorophyll content, increased specific leaf area, improved photosynthetic rates, and increased intrinsic instantaneous WUE. Transgenic peanut plants displayed high yield compared to non-transgenic plants under both drought and salt stress conditions. Holistically, our study demonstrates the potentiality of stress-induced expression of AtHDG11 to improve the drought, salt tolerance in peanut

Econometric modeling of tobacco exports in the milieu of changing global and national policy regimes: repercussions on the Indian tobacco sector

IntroductionTobacco, an important commercial crop, plays a crucial role in farmers' incomes and livelihoods to a sizable population and contributes significant exchange earnings to the Indian economy. Currently, India is the second-largest tobacco producer after China, with a production of 758 million kg (13% of global production) and exports of ~190 million kg of tobacco (9% of global tobacco export volume). However, there are uncertainties surrounding the tobacco sector, such as growing public health and environmental issues associated with tobacco production and consumption and changing national and international tobacco-related policy regimes. In this context, the current study investigates the determinants of tobacco exports and geographical shifts in export destinations over the years.MethodsThe statistical models employed are co-integration, and vector error-correlation models to test the short-run and long-run dynamics relationship between tobacco exports and the explanatory variables, and the Markov chain approach to find out geographical shifts in export destinations.Results and discussionThe econometric model estimated the relationship between the tobacco export volume with domestic production, export price, and global demand for Indian tobacco, and investigated the geographical shift in export destinations of tobacco in the context of changing global and national policy regimes on the sector. The econometric modeling framework confirms that there exists a statistically significant relationship between Indian tobacco export demand, domestic production, export price, and world demand for Indian tobacco. The geographical shift was evident in major export destinations during the post-WHO-FCTC (Framework Convention on Tobacco Control) regime. The model findings direct that India should take advantage of the export price, and global demand for tobacco as India ratified WHO-FCTC; there is no scope for horizontal expansion of the area under tobacco. This modeling framework aids as a tool to direct and explore the possible options with a greater emphasis on export-centric farming system in tobacco production by augmenting crop compliance and quality to meet the standards of international markets

Comparison of Drusen Area Detected by Spectral Domain Optical Coherence Tomography and Color Fundus Imaging

Citation: Yehoshua Z, Gregori G, Sadda SR, et al. Comparison of drusen area detected by spectral domain optical coherence tomography and color fundus imaging. Invest Ophthalmol Vis Sci. 2013;54;4:24294: -24344: . DOI:10.1167 PURPOSE. To compare the measurements of drusen area from manual segmentation of color fundus photographs with those generated by an automated algorithm designed to detect elevations of the retinal pigment epithelium (RPE) on spectral domain optical coherence tomography (SD-OCT) images. METHODS. Fifty eyes with drusen secondary to nonexudative age-related macular degeneration were enrolled. All eyes were imaged with a high-definition OCT instrument using a 200 3 200 A-scan raster pattern covering a 6 mm 3 6 mm area centered on the fovea. Digital color fundus images were taken on the same day. Drusen were traced manually on the fundus photos by graders at the Doheny Image Reading Center, whereas quantitative OCT measurements of drusen were obtained by using a fully automated algorithm. The color fundus images were registered to the OCT data set and measurements within corresponding 3-and 5-mm circles centered at the fovea were compared. . The mean differences between color images and the SD-OCT (color À SD-OCT) were 0.36 (60.93) (P ¼ 0.008) for the 3-mm circle and 1.26 (61.38) (P < 0.001) for the 5-mm circle measurements. Intraclass correlation coefficients of agreements for 3-and 5-mm measurements were 0.599 and 0.540, respectively. RESULTS. The mean areas (6SD [range CONCLUSIONS. There was only fair agreement between drusen area measurements obtained from SD-OCT images and color fundus photos. Drusen area measurements on color fundus images were larger than those with SD-OCT scans. This difference can be attributed to the fact that the OCT algorithm defines drusen in terms of RPE deformations above a certain threshold, and will not include small, flat drusen and subretinal drusenoid deposits. The two approaches provide complementary information about drusen

The Role of FeNO in Cough Management : A Randomised Controlled Trial

This abstract is funded by: Observational & Pragmatic Research Institute Pte Ltd, and Circassia Presented at thematic poster session: A34 ASTHMA CLINICAL STUDIES I Sunday 20th MayPeer reviewedPostprin