LIBS-Based Detection of Antioxidant Elements in Seeds of Emblica officinalis

The aim of the study was to determine the effect of the elements of the extract of seed from Emblica officinalis on antioxidant enzymes and osmotic fragility of erythrocytes membrane in normal as well as streptozotocin-induced severely diabetic albino Wister rats. The results revealed that the untreated diabetic rats exhibited increase in oxidative stress as indicated by significantly diminished activities of free radical scavenging enzymes such as catalase (CAT) and superoxide dismutase (SOD) by 37.5% (p

The relationship between specific tissue lesions and pain severity in persons with knee osteoarthritis

SummaryIntroductionPain is the most common symptom in knee osteoarthritis (OA), a leading cause of chronic disability, and a major source of the disability attributable to OA in general. Pain severity in knee OA is variable, ranging from barely perceptible to immobilizing. The knee lesions that contribute to pain severity have received little attention.ObjectiveTo examine whether worse pathology of specific knee tissues – i.e. cartilage, bone (attrition, cysts, bone marrow lesions, and osteophytes), menisci (tears and subluxation), ligaments, and synovium (synovitis/effusion) – is associated with more severe knee pain.MethodsOne hundred and forty-three individuals were recruited from the community with primary (idiopathic) knee OA, with definite tibiofemoral osteophytes in at least one knee, and at least some difficulty with knee-requiring activity. Knee magnetic resonance (MR) images were acquired using coronal T1-weighted spin-echo (SE), sagittal fat-suppressed dual-echo turbo SE, and axial and coronal fat-suppressed, T1-weighted 3D-fast low angle shot (FLASH) sequences. The whole-organ magnetic resonance imaging (MRI) scoring (WORMS) method was used to score knee tissue status. Since summing tissue scores across the entire joint, including regions free of disease, may dilute the ability to detect a true relationship between that tissue and pain severity, we used the score from the worst compartment (i.e. with the poorest cartilage morphology) as our primary approach. Knee pain severity was measured using knee-specific, 100mm visual analogue scales. In analyses to evaluate the relationship between knee pain severity and lesion score, median quantile regression was used, adjusting for age and body mass index (BMI), in which a 95% CI excluding 0 is significant.ResultsThe increase in median pain from median quantile regression, adjusting for age and BMI, was significant for bone attrition (1.91, 95% confidence interval (CI) 0.68, 3.13), bone marrow lesions (3.72, 95% CI 1.76, 5.68), meniscal tears (1.99, 95% CI 0.60, 3.38), and grade 2 or 3 synovitis/effusion vs grade 0 (9.82, 95% CI 0.38, 19.27). The relationship with pain severity was of borderline significance for osteophytes and cartilage morphology and was not significant for bone cysts or meniscal subluxation. Ligament tears were too infrequent for meaningful analysis. When compared to the pain severity in knees with high scores for both bone attrition and bone marrow lesions (median pain severity 40mm), knees with high attrition alone (30mm) were not significantly different, but knees with high bone marrow lesion without high attrition scores (15mm) were significantly less painful.ConclusionIn persons with knee OA, knee pain severity was associated with subarticular bone attrition, bone marrow lesions, synovitis/effusion, and meniscal tears. The contribution of bone marrow lesions to pain severity appeared to require the presence of bone attrition

Data-driven models for canopy temperature-based irrigation scheduling

Normalized crop canopy temperature, termed crop water stress index (CWSI), was proposed over 40 years ago as an irrigation management tool but has experienced limited adopted in production agriculture. Development of generalized crop-specific upper and lower reference temperature is critical for implementation of CWSI-based irrigation scheduling. The objective of this study was to develop and evaluate data driven models for predicting reference canopy temperatures needed to compute CWSI for sugarbeet and wine grape. Reference canopy temperatures for sugarbeet and wine grape were predicted using machine learning and regression models developed using measured canopy temperatures of sugarbeet, grown in Idaho and Wyoming, and wine grape, grown in Idaho and Oregon, over 5 years under full and severe deficit irrigation. Lower reference temperatures were estimated using neural network models with Nash-Sutcliffe model efficiencies exceeding 0.88 and root mean square error less than 1.1 degree Celsius. The relationship between well-watered canopy temperature minus ambient temperature and vapor pressure deficit was represented by a linear model that maximized the regression coefficient rather than minimized the sum of squared error. The linear models were used to estimate upper reference temperatures nearly double values reported in previous studies. Daily CWSI calculated as the average of 15-min values determined between 13:00 and 16:00 MDT for sugarbeet and 13:00 and 15:00 local time for wine grape was well correlated with irrigation events and amounts. A quadratic relationship between daily CWSI and midday leaf water potential of Malbec and Syrah wine grape was significant (p<0.001) with an R2 of 0.67. The data driven models developed in this study to estimate reference temperatures permit automated calculation of CWSI for effective assessment of crop water stress, however, wet canopy conditions or solar radiation < 200 W m-2 can result in irrational values of CWSI. Automated calculation of CWSI using the methodology of this study would need to check for wet canopy or low solar radiation conditions and omit calculation of CWSI if determined to be probable

Mechanical versus thermodynamical melting in pressure-induced amorphization: the role of defects

We study numerically an atomistic model which is shown to exhibit a one--step crystal--to--amorphous transition upon decompression. The amorphous phase cannot be distinguished from the one obtained by quenching from the melt. For a perfectly crystalline starting sample, the transition occurs at a pressure at which a shear phonon mode destabilizes, and triggers a cascade process leading to the amorphous state. When defects are present, the nucleation barrier is greatly reduced and the transformation occurs very close to the extrapolation of the melting line to low temperatures. In this last case, the transition is not anticipated by the softening of any phonon mode. Our observations reconcile different claims in the literature about the underlying mechanism of pressure amorphization.Comment: 7 pages, 7 figure

HiFlo-DAT: Indian Himalayan Flood Database, for Disaster Risk Reduction in the Kullu District

‘HiFlo-DAT’ is an ongoing bi-lateral research project (UK and India, UGC-UKIERI funded, 2018-2020), focussing on historical floods in the Kullu District, Himachal Pradesh, Indian Himalaya. The project team, comprising academic and state/district disaster management authorities, are together developing a new historical flood hazard database as a foundation for improved disaster risk management functions in the region. This is necessary as current management relies on incomplete knowledge of past flood event occurrence, bringing elevated exposure/ risk to development. The HiFlo-DAT database provides a step-change, drawing on extensive mining of archive materials held in private and public collections in India, UK and USA. These materials include newspapers, government reports/ registers, diaries, books, academic articles etc. Most extensive are English language Indian region newspapers, of which we have amassed overlapping holdings over 184 years (1835 to present), totalling c. 150,000 pages. Our acquisition includes coverage of annual periods where publications are digitally searchable (e.g. The Tribune, The Times of India, The Indian Express). In contrast, where archives remain in an analogue microfilm format (e.g. The Civil and Military Gazette, The Friend of India) we restricted data searches to monsoon season months (i.e. July to September) given this is the typical window for floods in the Western Himalaya. The HiFlo-DAT database architecture takes account of best practice, having systematically reviewed global (most commonly European) flood database research in the last c. 30 years, in regard to database structure, data entry/verification protocols, analytical foci and societal impact. HiFlo-DAT has 103 possible entry categories for each event record, which are aggregated into 11 principal groups (i.e. database management, citation information, timing/ duration, location, causation and hydro-meteorological magnitude, channel/ catchment geomorphological impacts, damage/ destruction/ costs, human casualties, pre-event actions, event response, post-event actions). The bi-lateral review of source materials and population of the database are governed by an agreed set of protocols. Initial analyses are focussing on: (1) event spatial/ temporal/ impact signatures; (2) the relationship between flood occurrence and rainfall conditions. The latter makes use of a unique long-term daily rainfall series for Naggar Farm, being compiled from British government records (1891-1950) and current IARI data (1962 to present). HiFlo-DAT is designed with capacity for future updating, and will be open access via the BathSPAdata repository and HPSDMA website