500 research outputs found

    SIMPLE AND RAPID HPLC METHOD DETERMINATION OF CSR1 AND CSR2, NEW HETEROCYCLIC THIAZOLIDINEDIONE DERIVATIVES, IN RAT PLASMA

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    Objective: This study aimed at developing a simple and rapid high-performance liquid chromatography (HPLC) method for determination of two thiazolidinedione derivatives, which were developed as anti-proliferative moieties (CSR1 and CSR2) in rat plasma. In addition, their oral pharmacokinetics were studied.Methods: Drugs were recovered from plasma using acetonitrile and analyzed on a Kromasil C8 column (250 mm × 4.6 mm; 4 μm). HPLC running conditions (0.01M phosphate buffer [pH = 3.0]; flow rate, 0.9 ml/min; at 210 nm; run time, 17 min) were optimized and further used for the determination of pharmacokinetic parameters.Results: At the described chromatographic conditions, CSR1, CSR2 and internal standard (metformin) eluted at 10.44, 9.41, and 3.15 min, respectively. The calibration curves were linear over the range of 0.25–20 µg/ml, with a correlation coefficient>0.999. The quantification limit was 0.25 µg/ml. Within- and between-day precision values were less than 15%. The developed HPLC method was successfully used to study the pharmacokinetics of CSR1 and CSR2 in rats. The developed method was successfully used to study the pharmacokinetics of CSR1 and CSR2. Cmax, AUC0-12, Tmax, t1/2 for CSR1 were 12.2±1.9 µg/ml, 65.34±0.12 µg h/ml, 4.07±0.23 h, t1/2= 4.54±0.12 h, respectively, and those for CSR2 were 10.6±2.2 µg/ml, 62.45±0.31 µg h/ml, 3.56±0.23 h, 3.86±0.09 h, respectively.Conclusion: A specific, linear, and reproducible method was successfully developed and implemented to determine pharmacokinetic activity for two thiazolidinedione derivatives (CSR1 and CSR2), which have been shown to have significant anti-proliferative activity.Â

    Performance Analysis of LEACH with Deep Learning in Wireless Sensor Networks

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    Thousands of low-power micro sensors make up Wireless Sensor Networks, and its principal role is to detect and report specified events to a base station. Due to bounded battery power these nodes are having very limited memory and processing capacity. Since battery replacement or recharge in sensor nodes is nearly impossible, power consumption becomes one of the most important design considerations in WSN. So one of the most important requirements in WSN is to increase battery life and network life time. Seeing as data transmission and reception consume the most energy, it’s critical to develop a routing protocol that addresses the WSN’s major problem. When it comes to sending aggregated data to the sink, hierarchical routing is critical. This research concentrates on a cluster head election system that rotates the cluster head role among nodes with greater energy levels than the others.  We used a combination of LEACH and deep learning to extend the network life of the WSN in this study.  In this proposed method, cluster head selection has been performed by Convolutional Neural Network (CNN). The comparison has been done between the proposed solution and LEACH, which shows the proposed solution increases the network lifetime and throughput

    Evaluation of non-stress test as predictor of perinatal outcome in high risk and low risk pregnancy: a prospective study

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    Background: NST is simple, cheap, non-harmful, easily repeated, and cost effective with low maintenance profile. NST is a very effective method to investigating the intrauterine growth retardation (IUGR), late pregnancy, premature birth, multiple pregnancy, Rh sensitivity, diabetes, liver disease, decreased bowel movements, oligohydramnios etc. Objectives were to evaluate the efficacy and role of antenatal NST in improving perinatal outcome in high-risk pregnancies. Methods: This prospective study was done among 100 pregnant women (group A: high risk pregnancy, n=50, group B: low risk pregnancy, n=50). Nonstress test was done for 20 minutes if the test was inconclusive or nonreactive. It was continued for another 20 minutes extended CTG. Fetal stimulation was also done. The NST done before onset of labour was used as reference. Interpretation if NST tracings was done according to ACOG guideline. Results: Around 58% participants of high-risk group and 82% of low-risk group had ‘reactive’ and NST tracings respectively. Almost 36% participants of high-risk group and 16% of low-risk group were delivered baby by LSCS method. Around 24% participants of high-risk group and 10% of low-risk group had meconium-stained amniotic fluid. Around 66% babies of participants of high-risk group and 24% of low-risk group were admitted in NICU. The mean birth weight of babies of high-risk group participants was 2.52 kg and of low-risk group participants was 2.85 kg. Conclusions: Present study reveals significant difference between reactive and nonreactive NST in terms of Apgar scores and NICU admissions in both the groups. Hence judicious use of NST will certainly help in timely identification of at-risk fetuses thereby avoiding unnecessary delay in intervention

    (CLSCR) Cross Language Source Code Reuse Detection using Intermediate Language

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    ABSTRACT In today's digital era information access is just a click away. so computer science students also have easy access to all the source codes from different websites thus it has become difficult for academicians to detect source code reuse in students programming assignments. The new trend in the area of source code reuse is using the source code by translating it in another programming language popularly known as cross language plagiarism. Our CLSCR addresses this problem. CLSCR mainly has two components: A compiler that compiles and translates the language specific source code into a tool specific internal format and The Similarity calculator that computes similarity between internal formats of different programs

    Mesoamerican nephropathy: a narrative review

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    Mesoamerican nephropathy (MeN) also known as chronic kidney disease of unknown etiology (CKDu) is prevalent in agriculturally rich areas. The most widely accepted pathophysiological explanation for MeN is chronic dehydration caused by prolonged exposure to the sun. Other theories include oxidative stress, chronic inflammation, infection and tubulointerstitial fibrosis. The clinical presentation is quite vague and is diagnosed similar to CKD from any cause using blood, urine analysis and ultrasound. The study highlights the need for interdisciplinary cooperation among physicians, epidemiologists, toxicologists, and geneticists while identifying significant research gaps and future objectives. Occupational health related to agriculture is not emphasised enough especially in third world countries where a large chunk of population heavily depend on farming. To safeguard the population at risk, the significance of community-based initiatives, occupational health measures, and regulatory changes is emphasised
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