Immunological appraisal of wheat varieties in relation to chapatti-making characteristics

The current research work was conducted to characterize wheat proteins through immunochemical techniques and to find out their relationship with wheat quality traits. The results revealed that wheat variety AARI-11 possessed higher protein content (11.96%), wet gluten (31.39%), dry gluten (9.66%), Pelshenke value (190.52 min), and SDS-Sedimentation value (28.27 ml) than other tested varieties. The chapattis prepared from the wheat variety AARI-11 got significantly higher sensory scores owing to its higher protein contents. The wheat variety AARI-11 also exhibited significantly the highest antibody response against all the assessed protein fractions. The results of the present study suggest that anti-glutenin and anti-high molecular weight glutenin subunits (HMW-GS) antibody response was found positively correlated to the quality characteristics of flours and chapattis. The present study suggests that the use of antibodies response against glutenin and HMW-GS offers good tool for predicting quality and suitability of wheat to chapatti-making quality.     

Comparing yield estimates derived from LiDAR and aerial photogrammetric point-cloud data with cut-to-length harvester data in a Pinus radiata plantation in Tasmania

Accurate mapping of timber resources in commercial forestry is essential to support planning and management operations of forest growers. Over the last two decades, Light Detection and Ranging (LiDAR) systems have been successfully deployed for the collection of point-cloud data for accurate modelling of forest attributes that are traditionally obtained from plot-based inventory. In recent years, studies conducted in North America and Scandinavia have shown that three-dimensional point clouds derived from digital aerial photogrammetric (AP) data can be used to model forest attributes with a level of accuracy similar to traditional LiDAR-based approaches. A comparative analysis of the performance of the two point-cloud technologies has never been attempted in Australian plantations. In this study, we compared the performance of LiDAR-based and AP-based point clouds for estimating total recoverable volume in a Pinus radiata plantation at Springfield in north-eastern Tasmania, using volume data collected by harvesting machines as a reference. Our results showed that AP point clouds can be used for mapping total recoverable volume in P. radiata plantations with levels of accuracy that are comparable to LiDAR-based estimates. Plot-level relative root mean squared error (RMSE%) values were 23.85% for LiDAR and ranged from 22.07% to 27.10% for the three AP dense point-cloud settings evaluated. At the stand level, RMSE% decreased to 9.86% and 8.91% for LiDAR and AP, respectively. Both LiDAR-based and AP-based modelled volumes showed a close agreement with volumes measured using harvester head data, demonstrating the potential of AP technology for the management and planning of forestry operations in softwood plantations.     

Eating disorders in South Asia: Should we be concerned?

Eating disorders are a group of psychiatric conditions characterised by disturbances in eating behaviour along with severe concern regarding bodyweight and shape, which appear to be on the rise in South Asian countries. These disorders are commonly observed in young individuals and are caused by a complex interaction of genetic, biological, psychological and social factors and associated with a wide range of adverse physical, psychological and social consequences. Treatment of these disorders can be quite expensive as it requires specialised care from a multidisciplinary team. Hence, prevention of eating disorders is essential; this should focus on modifiable risk factors such as the media and low self‐esteem, which contribute to body image dissatisfaction in young people and increases their risk of developing an eating disorder. This article provides recommendations for prevention of eating disorders specifically in the South Asian context.     

Performance of the OptiMAL test for malaria diagnosis among suspected malaria patients at the rural health centers

The OptiMAL test detects both Plasmodium falciparum and P. vivax malaria infections. In this study, we evaluated the performance of the OptiMAL test at the Basic Health Units (BHUs) and the District Health Quarter (DHQ) Center in rural villages of Punjab, Pakistan that provide minimal health services. Two sets of blood specimens obtained from 930 suspected malaria patients attending these BHUs were tested at BHUs and the DHQ Center by microscopy and the OptiMAL test. At the BHUs, 231 (25%) of the patients were positive by microscopy and 278 (30%) patients tested positive by the OptiMAL test. At the DHQ Center, microscopic analysis of a second set of specimens from the same patients confirmed the malaria infection in 386 (42%) patients and the OptiMAL test result was positive in 300 (32%) patients. To determine the performance of OptiMAL test at the BHUs and the DHQ Center, all data were compared with microscopy results obtained at the DHQ Center. The OptiMAL test results for P. falciparum at the BHUs were comparable to those of the OptiMAL test at the DHQ Center. However, the sensitivity, positive predictive value (PPV), and negative predictive value (NPV) of the OptiMAL test were considerably lower for P. vivax infections than for P. falciparum infections, irrespective of whether the test was performed at the BHUs or at the DHQ Center (P. falciparum: sensitivity = 78-85%, PPV = 89-97%, NPV = 96-98%; P. vivax: sensitivity = 61-76%, PPV = 88-95%, NPV = 90-93%). The OptiMAL test also detected a number of false-positive and false-negative results at both the BHUs and the DHQ Center. The false-positive results ranged from 1% to 2%; however, the number of false-negative results was much higher (BHUs: P. falciparum = 22%, P. vivax = 39%; DHQ Center: P. falciparum = 15%, P. vivax = 24%). In conclusion, these results, when combined with other advantages of the OptiMAL test, suggest that this test can be used by relatively inexperienced persons to diagnose malaria infection in rural areas where facilities for microscopy are not available.     

Ectopic pregnancy: a resident’s guide to imaging findings and diagnostic pitfalls

Emergency Radiology - Ectopic pregnancy (EP) is a term used to describe any pregnancy which does not implant into the uterine cavity. There are several types of EPs: tubal, interstitial, ovarian,...     

Does antiretroviral therapy alter the course of Parkinson’s disease in people living with HIV?

Journal of NeuroVirology - South Africa has the world’s largest antiretroviral programme which has resulted in an increase in life expectancy in persons living with HIV. Parkinson’s...