The effects of placing an operational research fellow within the Viet Nam National Tuberculosis Programme.

In April 2009, an operational research fellow was placed within the Viet Nam National Tuberculosis Control Programme (NTP). Over the 6 years from 2010 to 2015, the OR fellow co-authored 21 tuberculosis research papers (as principal author in 15 [71%]). This constituted 23% of the 91 tuberculosis papers published in Viet Nam during this period. Of the 21 published papers, 16 (76%) contributed to changes in policy (n = 8) and practice (n = 8), and these in turn improved programme performance. Many papers also contributed important evidence for better programme planning. Highly motivated OR fellows embedded within NTPs can facilitate high-quality research and research uptake

EVALUATION OF ANTIDEPRESSANT ACTIVITY OF ETHANOLIC EXTRACT OF DIPTERCANTHUS PROSTRATUS NEES

Objective: The major objective of the study is to evaluate the antidepressant activity of ethanolic extract of Dipteracanthus prostratus Nees using rats. The study also aims to assess the effect of the extract on behavioural pattern of treated rats. Methods: The antidepressant activity of the ethanolic extract of Dipteracanthus prostratus was evaluated using Forced swim test (FST). The effect of the extract on the behavioral pattern was assesssed by an Open field test. The oral doses of 500 mg/kg and 250 mg/kg of the extract were fixed after conducting acute toxicity studies. Imipramine (30 mg/kg) was used as the standard. Results: It was observed from the study that the ethanolic extract of Dipteracanthus prostratus at higher concentration showed significantly (p<0.01) reduction in immobility in forced swim test model of depression after repeated administration for 14 d. The results were comparable to the standard drug Imipramine. However, the extract did not any significant activity after acute administration. Neither the ethanolic extract of Dipteracanthus prostratus nor the standard drug imipramine produced any overt behavioural change or motor dysfunction in the open field test. Conclusion: The present study demands a further detailed investigation on the antidepressant and other possible CNS activities of Dipteracanthus prostrates

Operational mesoscale atmospheric dispersion prediction using a parallel computing cluster

An operational atmospheric dispersion prediction system is implemented on a cluster supercomputer for Online Emergency Response at the Kalpakkam nuclear site. This numerical system constitutes a parallel version of a nested grid meso-scale meteorological model MM5 coupled to a random walk particle dispersion model FLEXPART. The system provides 48-hour forecast of the local weather and radioactive plume dispersion due to hypothetical airborne releases in a range of 100 km around the site. The parallel code was implemented on different cluster configurations like distributed and shared memory systems. A 16-node dual Xeon distributed memory gigabit ethernet cluster has been found sufficient for operational applications. The runtime of a triple nested domain MM5 is about 4h for a 24h forecast. The system had been operated continuously for a few months and results were ported on the IMSc home page. Initial and periodic boundary condition data for MM5 are provided by NCMRWF, New Delhi. An alternative source is found to be NCEP, USA. These two sources provide the input data to the operational models at different spatial and temporal resolutions using different assimilation methods. A comparative study on the results of forecast is presented using these two data sources for present operational use. Improvement is noticed in rainfall forecasts that used NCEP data, probably because of its high spatial and temporal resolution

Validation of Potential Fishing Zone (PFZ) Advisories (2006 – 2007)

The Potential Fishing Zone (PFZ) Advisories are being generated and disseminated by Indian National Centre for Ocean Information Services (INCOIS). The methodology used for generation of these advisories and the scientific basis behind the identification of the PFZ locations was described. With a view to validate these PFZ Advisories and to assess the potential benefits to the fishing community, INCOIS had undertaken PFZ validation experiments at various places under the leadership of fishery experts. Simultaneous fishing operations have been conducted within the PFZ Areas and outside PFZ Areas using identical vessels. The quantitative results of the experiments were described

Biopolymer: A Novel Bioexcipient

Polymers are the key material in design of drug delivery systems. These have been shown as the spine for drug development process. These accept an essential part in rising of novel drug delivery systems to crush different intricacies in drug delivery. These are used for controlling the appearance of the drug in needed manner. The hydrophilic and lipophilic polymers are the most ideal choice for getting the ideal conveyance in controlled, manner at the target sites. Isolated of this, these fabricated and semisynthetic polymers are made by different chemical reactions and purification measures. Since these are prepared by different unit operations which are costly. By and by days different investigates are being examined for avoiding the characteristic, physiological and reasonable issues related with the synthetic and semisynthetic polymers. So an alternative rather than synthetic and semisynthetic polymers are being investigated having interest, probability, and any leftover benefits with least troublesome ramifications for environment and physiology of the people. One of the alternatives as opposed to designed and semisynthetic polymers is biopolymers which have pulled in the thought of researchers by using an economical procedures. Biopolymers are novel, adroit and sharp polymers which have been confined from various basic sources. Biopolymers isolated from natural sources might be utilized as novel excipients having a polymeric nature. These isolated biopolymers have superb bioretardant, bio stabilizer, and mucoadhesive properties. These have the brilliant film-framing capacity and biocompatibility properties. The isolated bio-polymers have great drug release rate controlling capacities. Since these are biodegradable and might be utilized as an option in contrast to standard manufactured synthetic and semisynthetic polymers. The isolated biopolymer shows critical biodegradable, mucoadhesive, filmability, and retardability properties which are like properties of standard polymers, may be the alternative in design of novel drug delivery system design

Delayed diagnosis of plasma cell disorder-related Fanconi syndrome in young adults presenting as osteomalacia: report of two cases with normokalemia and normal haematological parameters at the time of presentation

Adult-onset hypophosphatemic osteomalacia is rare and diagnosis is frequently delayed. Fanconi syndrome (FS) due to monoclonal gammopathy is a well-recognized, but rare cause of hypophosphatemia. The relatively young age of patients and normal routine hematological parameters often results in late recognition of this treatable disease entity. Low phosphorus, elevated alkaline phosphatase, mildly impaired renal function and hypokalemia are often the only abnormalities on routine evaluation. We summarize the clinico-pathological features of two cases who initially presented with fractures and proximal myopathy and were subsequently found to have FS secondary to light chain proximal tubulopathy. Atypical features like absence of hypokalemia at presentation  and elevated Fibroblast Growth Factor 23(FGF 23), a marker of oncogenic osteomalacia were noted. Marked clinical improvement and recovery of renal parameters were evident with phosphate supplements and  chemotherapy for the plasma cell disorder. FS due to monoclonal gammopathy  may present with atypical features  and diagnosis may be  challengin

Machine Learning Approach for the Early Prediction of the Risk of Overweight and Obesity in Young People

Obesity is a major global concern with more than 2.1 billion people overweight or obese worldwide which amounts to almost 30% of the global population. If the current trend continues, the overweight and obese population is likely to increase to 41% by 2030. Individuals developing signs of weight gain or obesity are also at a risk of developing serious illnesses such as type 2 diabetes, respiratory problems, heart disease and stroke. Some intervention measures such as physical activity and healthy eating can be a fundamental component to maintain a healthy lifestyle. Therefore, it is absolutely essential to detect childhood obesity as early as possible. This paper utilises the vast amount of data available via UK’s millennium cohort study in order to construct a machine learning driven model to predict young people at the risk of becoming overweight or obese. The childhood BMI values from the ages 3, 5, 7 and 11 are used to predict adolescents of age 14 at the risk of becoming overweight or obese. There is an inherent imbalance in the dataset of individuals with normal BMI and the ones at risk. The results obtained are encouraging and a prediction accuracy of over 90% for the target class has been achieved. Various issues relating to data preprocessing and prediction accuracy are addressed and discussed