A Simple HPLC Bioanalytical Method for the Determination of Doxorubicin Hydrochloride in Rat Plasma: Application to Pharmacokinetic Studies

Purpose: To develop a simple, accurate, and precise high performance chromatography (HPLC) method with spectrophotometric detection for the determination of doxorubicin hydrochloride in rat plasma.Methods: Doxorubicin hydrochloride and daunorubicin hydrochloride (internal standard, IS) were separated on a C18 reversed-phase HPLC column. Following protein precipitation extraction, chromatographic separation was accomplished with a mobile phase consisting of acetonitrile: water at ratio of 30:70 (pH 3.0), and the drug was detected at 233 nm using a UV detector at flow rate of 1.0 ml/min and ambient temperature.Results: Linearity was obtained over the range 1.0 . 50.0 µg/ml for doxorubicin hydrochloride with lower limit of quantitation of 1.0 µg/ml. For each level of quality control samples, inter- and intra-day precision (% CV) was < 9.6 and 5.1 %, respectively. Stability of doxorubicin hydrochloride in plasma was within the acceptance limit (} 15 %) with no evidence of degradation during sample processing and 30 days storage in a deep freezer at -70 } 5 ‹C. Absolutes extraction recovery of drug from plasma was. 86 %.Conclusion: The method is highly selective and rugged for the  determination of doxorubicin hydrochloride in rat plasma and should be suitable for conducting pharmacokinetic studies and therapeutic drug monitoring.Keywords: Doxorubicin, Daunorubicin, Validation, pharmacokinetics, rat plasma

Investigation On Antidiarrhoeal Activity Of Aristolochia Indica Linn. Root Extracts In Mice

Background: The present study aimed at investigating the effect of ethanolic extract (EtAI), and aqueous extract (AqAI) of Aristolochia indica  Linn roots on castor oil-induced diarrhoea and study on small intestinal transit. Phytochemical analysis of extracts was performed as per standard procedure.Materials and Methods: The oral toxicity study using Swiss albino mice was performed in accordance with OECD guidelines. The EtAI and AqAI extracts of Aristolochia indica Linn were studied for antidiarrhoeal property using castor oil-induced diarrhoeal model and charcoalinduced gastrointestinal motility test in Swiss albino mice.Results: Among the tested doses of 200 and 400 mg/kg body weight, the extracts reduced the frequency and severity of diarrhoea in test animals throughout the study period. At the same doses, the extract delayed the intestinal transit of charcoal meal in test animals as compared to the control and the results were statistically significant.Conclusion: Experimental findings showed that ethanol extract of Aristolochia indica Linn root possess significant antidiarrheal activity and may be a potent source of anti-diarrhoeal drug in future.Key words: Antidiarrheal activity, Aristolochia indica Linn, ethanol extract, small intestinal transi

Ethical Surveillance: Applying Deep Learning and Contextual Awareness for the Benefit of Persons Living with Dementia

A significant proportion of the population has become used to sharing private information on the internet with their friends. This information can leak throughout their social network and the extent that personal information propagates can depend on the privacy policy of large corporations. In an era of artificial intelligence, data mining, and cloud computing, is it necessary to share personal information with unidentified people? Our research shows that deep learning is possible using relatively low capacity computing. When applied, this demonstrates promising results in spatio-temporal positioning of subjects, in prediction of movement, and assessment of contextual risk. A private surveillance system is particularly suitable in the care of those who may be considered vulnerable

The Role of Actin Turnover in Retrograde Actin Network Flow in Neuronal Growth Cones

The balance of actin filament polymerization and depolymerization maintains a steady state network treadmill in neuronal growth cones essential for motility and guidance. Here we have investigated the connection between depolymerization and treadmilling dynamics. We show that polymerization-competent barbed ends are concentrated at the leading edge and depolymerization is distributed throughout the peripheral domain. We found a high-to-low G-actin gradient between peripheral and central domains. Inhibiting turnover with jasplakinolide collapsed this gradient and lowered leading edge barbed end density. Ultrastructural analysis showed dramatic reduction of leading edge actin filament density and filament accumulation in central regions. Live cell imaging revealed that the leading edge retracted even as retrograde actin flow rate decreased exponentially. Inhibition of myosin II activity before jasplakinolide treatment lowered baseline retrograde flow rates and prevented leading edge retraction. Myosin II activity preferentially affected filopodial bundle disassembly distinct from the global effects of jasplakinolide on network turnover. We propose that growth cone retraction following turnover inhibition resulted from the persistence of myosin II contractility even as leading edge assembly rates decreased. The buildup of actin filaments in central regions combined with monomer depletion and reduced polymerization from barbed ends suggests a mechanism for the observed exponential decay in actin retrograde flow. Our results show that growth cone motility is critically dependent on continuous disassembly of the peripheral actin network

Aeroelastic studies at National Aerospace Laboratory: a review

Aeroelastic instabilities encountered often by lifting surfaces of a fight vehicle lead to catastrophic failures. Hence, the objective of the designer is to make sure that such a phenomenon does not occur within the flight envelope. In this paper, both theoretical and experimental aeroelastic studies on aircraft and space vehicles carried out at NAL during the lost three decades are reviewed briefly

A Taxonomy for Combining Activity Recognition and Process Discovery in Industrial Environments

Despite the increasing automation levels in an Industry 4.0 scenario, the tacit knowledge of highly skilled manufacturing workers remains of strategic importance. Retaining this knowledge by formally capturing it is a challenge for industrial organisations. This paper explores research on automatically capturing this knowledge by using methods from activity recognition and process mining on data obtained from sensorised workers and environments. Activity recognition lifts the abstraction level of sensor data to recognizable activities and process mining methods discover models of process executions. We classify the existing work, which largely neglects the possibility of applying process mining, and derive a taxonomy that identifies challenges and research gaps.A Taxonomy for Combining Activity Recognition and Process Discovery in Industrial EnvironmentsacceptedVersio