Ofloxacin-induced maculopapular rash in the infant

Adverse drug reactions (ADRs) are a major cause of morbidity and mortality in countries having limited healthcare resources. The ofloxacin is an antimicrobial used for treating several bacterial infections. The ofloxacin, belonging to quinolone group of drugs, is bactericidal and acts by inhibition of bacterial DNA gyrase. Among the adverse drug reaction of ofloxacin, skin rashes are rare. An ofloxacin-induced maculopapular rash is the unique rare condition in the infant. The present case report was assessing the causality in ofloxacin induced maculopapular rash in the infant. Naranjo Adverse Drug Reaction Probability Scale and World Health Organization and Uppsala Monitoring Centre (WHO-UMC) system for standardized case causality assessment were used for assessing the causality. According to the Naranjo and WHO-UMC, ofloxacin scaled as the probable/likely cause of this ADR in infant. So, authors can conclude that the ofloxacin should be used cautiously in the pediatric age group

The antipsychotic activity of alcoholic extract of Withania coagulans fruits in Swiss albino mice

Background: Schizophrenia is one of the most distressing central nervous system (CNS) disorders. It is described by positive, negative and cognitive symptoms. These symptoms can be controlled by the antipsychotic medicines. The numerous antipsychotic medications used today are not lacking the adverse drug reactions. The Withania coagulans a susceptible species, is not explored much for its CNS effects except in late seventies. Therefore, it was thought worthwhile to investigate anti-psychotic activities of alcoholic extract of Withania coagulans fruits. The objective of the present study was to assess the antipsychotic activity of alcoholic extract of Withania coagulans fruits in Swiss albino mice by Cook’s Pole Climb Apparatus for conditioned avoidance response (CAR)Methods: Cook’s Pole Climb Apparatus for conditioned avoidance response was used for assessing the antipsychotic activity of the alcoholic extract of 200mg/kg, 500mg/kg and 1000mg/kg doses of Withania coagulans fruits.Results: There was statistically (p-value >0.05) no significant association between any of the 200mg/kg, 500mg/kg and 1000mg/kg doses of the alcoholic extracts of Withania coagulans fruits with antipsychotic activity in Swiss albino mice.Conclusions: Withania coagulans fruits alcoholic extract did not demonstrate antipsychotic activity in Swiss albino mice under standard conditions

BIG DATA MINING TOOLS FOR UNSTRUCTURED DATA: A REVIEW

Big data is a buzzword that is used for a large size data which includes structured data, semi-structured data and unstructured data. The size of big data is so large, that it is nearly impossible to collect, process and store data using traditional database management system and software techniques. Therefore, big data requires different approaches and tools to analyze data. The process of collecting, storing and analyzing large amount of data to find unknown patterns is called as big data analytics. The information and patterns found by the analysis process is used by large enterprise and companies to get deeper knowledge and to make better decision in faster way to get advantage over competition. So, better techniques and tools must be developed to analyze and process big data. Big data mining is used to extract useful information from large datasets which is mostly unstructured data. Unstructured data is data that has no particular structure, it can be any form. Today, storage of high dimensional data has no standard structure or schema, because of this problem has risen. This paper gives an overview of big data sources, challenges, scope and unstructured data mining techniques that can be used for big data

Systematic review of adverse drug reactions of ofloxacin

Adverse drug reactions (ADRs) are a major cause of morbidity and mortality in countries having limited healthcare resources. Of all the Adverse Drug Reactions, antimicrobials contribute 28% which is highest compared to the other drugs. Ofloxacin is an antimicrobial used for treating several bacterial infections. Incidence rate of adverse drug reactions (ADRs) to ofloxacin is 4.27%. Although these figures appear to be small, it is consumed for gastrointestinal infections along with ornidazole in India contributing significant burden of ADRs. However, there is no research done in past many years focusing on the adverse drug reactions of ofloxacin. This article bridges the gap of such a need. The objective of the present study was to review the adverse drug reactions related to ofloxacin in human and animal studies. Authors conducted Pubmed and Cochrane library search to review all the articles related to the adverse drug reaction of ofloxacin from 1980 to 2016. Authors got 84 articles pertaining to the adverse drug reactions of ofloxacin. Authors conclude that ofloxacin should be judiciously used as the side effect profile is increasing.

The antianxiety activity of aqueous extract of Withania coagulans fruits in swiss albino mice by elevated plus maze

Background: Several anti-anxiety drugs used today have the numerous side effects. The Withania coagulans a rare species, is not studied much for its actions on anxiety except in late seventies where it was explored for neuropsychopharmacology. Thus, it was thought commendable to explore the anti-anxiety activities of aqueous extract of Withania coagulans fruits in swiss albino mice using elevated plus maze test.Methods: Elevated plus maze (EPM) test was used for evaluating the anti-anxiety action of Withania coagulans fruits’ aqueous extract. If the extract had anti-anxiety action, then it was expected that the time spent in the open space would increase and that in the closed space would decrease. This increase in time in the open space, if found statistically significant, was considered for antianxiety action.Results: There was statistically highly significant (p value <0.001) association observed between the aqueous extract of Withania coagulans fruits with antianxiety action in the swiss albino mice by elevated plus maze test.Conclusions: The aqueous extract of Withania coagulans fruits did prove the antianxiety effect in the swiss albino mice by elevated plus maze test

The spontaneous motor activity of aqueous extract of Withania coagulans fruits in Swiss albino mice by actophotometer

Background: People spend about one third of their time in sleep every day. The various sedative and hypnotic medications used today have numerous side effects. In the late seventies a very little work was done on the Withania coagulans - a vulnerable species that is found scattered in the world. Therefore, it was essential to discover the CNS depressant activities of aqueous extract of Withania coagulans fruits in swiss albino mice by using actophotometer.Methods: The spontaneous locomotor activity was evaluated by using the actophotometer. The CNS depressant drugs decrease the locomotor activity in mice as they impair the motor coordination so that mice stay at one place for the longer time. Therefore, there is less disruption of the beams of light. This spontaneous locomotor activity time is statistically correlated among the control, standard and the test drugs.Results: There was statistically highly significant (p value <0.001) association observed between aqueous extract of Withania coagulans fruits with spontaneous locomotor activity in swiss albino mice on the actophotometer.Conclusions: The aqueous extract of Withania coagulans fruits demonstrated the CNS depressant activity in swiss albino mice by actophotometer

Influence of compression ratio variation on diesel engines, performance and exhaust emission parameters devouring microalgae biodiesel blends

243-255The diesel engine performance as well as exhaust emission attributes are influenced by different structures. Impact of compression ratio and microalgae biodiesel blending proportion in petroleum diesel on variable compression ratio diesel engine performance and exhaust emission have been investigated in this study. The five blends of microalgae have been prepared on volumetric basis adopting standard procedure. The engine is fuelled with these five blends respectively to investigate their impact on engine performance and emission attributes. The experimentation has carried out at compression ratio 15.5, 16.5, and 17. For benchmarking comparison, the obtained results have been compared to test results found using petroleum diesel as fuel. Obtained experimental results have uncovered that the engine brake thermal efficiency increases as compression ratio increases for all the microalgae biodiesel blends. The brake specific fuel consumption diminishes with rise of compression ratio for tested fuel blends. The outcomes additionally show brake specific fuel consumption stay higher for blends and increase with rise of biodiesel mixing percent contrasted with unadulterated diesel. At the point when compression ratio has expanded from 15.5 to 17.5, the hydrocarbons and carbon monoxides outflow have reduced radically and nitrogen oxides discharge increases

Design of Deep Recursive CNN Model for Detecting and Classifying Peston Plant

Automatic pest on plant detection in early stage is very essential for food quality control in the agriculture industry.&nbsp; However, the visual method to identify pest on every plant by human is a cumbersome process and cannot be well suited in the agriculture field, because it is time consuming, less accurate and labor intensive. Pest on Plant and plant leaf disease are the major factors responsible for reducing the quality and quantity of food production. Detection at the earlier stage of pest growth and its killing would result in reducing its effect on plant and enhance the quality of food production. Various existing ways have been used to identify and classify pest on plant, but issues have not been resolved, and there is still a scope for improvement. This paper proposes a Deep Recursive Convolutional Neural Networks (DR-CNN) to improve the average running time and achieve high accuracy. DR-CNN model is integrating the convolution, ReLU and Max pooling Layer into single unit and call recursively

Miscibility and Thermal Studies of Cellulose Acetate and Modified Industrial Waste Lignin Blends

Abstract: ……………………………………………………………………………………………………… Introduction Blending of polymers is one of the simplest means to obtain a variety of physical and chemical properties from the constituent polymers. The gain in newer properties depends on the degree of compatibility or miscibility of polymers at molecular level The effect of poly (ethylene oxide) molecular mass on miscibility and hydrogen bonding with lignin was studied by (Kubo and Kadla,2006) using thermal analysis, FTIR and DSC analysis which revealed miscibility of blends over the entire blend ratio. (Fan et al., 2011) prepared a new biodegradable blend by incorporating alkaline lignin (AL) filler into the poly (butylene succinate) as a matrix. The blends were prepared between the 5-30% weight percentages of alkaline lignin. The mixture was compression-moulded into a sheet and their structural and mechanical properties were studied. The properties of lignin-based blends and composites can be improved by appropriate chemical modifications aimed at optimizing the interactions between or among the components of these materials, essentially by reducing the corresponding interfacial energy and thus enhancing their compatibility. To increase solubility and compatibility o

<b style="">Development of cow dung based herbal mosquito repellent</b>

270-273The chemical based mosquito repellents available in the market contain some harmful and poisonous chemicals, which are likely to cause threat to human health. An attempt has been made to prepare a 100% herbal product, based on traditional practices and rural wisdom. It is effective and cheaper than presently chemical based mosquito repellent. Since it is totally herbal, it has no side effects on inhalation or even on digestion. This paper deals with selection and optimization of ingredients, their characteristics, medicinal properties and studies conducted about the comparison with the existing mosquito repellent. The cow dung is considered very sacred in Indian philosophy, it says that Gomay Vaste Laxmi i.e. Goddess of Wealth resides in cow dung. The efforts are made to study the traditional beliefs from scientific approach. The main aim of this product development is to provide employment to the rural youth and economic gains to farmers