Non-​mutagenic and in vitro toxicity evaluation of embelin on human peripheral blood lymphocytes and mouse macrophages

The development of novel drugs that have chemotherapeutic activity against cancer is a great challenge. The discoveries of these drugs are very difficult, because they must be able to destroy the tumor cells without causing adverse side effects. Significant innovations come forth when human cell lines are used for vetting drugs and other chems. Embelin, a benzoquinone is reported to possess anticancer activity on various cancer cell lines. The present investigation was undertaken to det. the toxicity profile of embelin on human peripheral blood lymphocytes and murine macrophages. The effect of embelin on growth and viability of cells was detd. by MTT assay. Further embelin was tested for mutagenicity by the Ames test, in Salmonella typhimurium strains with and without metabolic activation. Results implicate that embelin was non mutagenic in the tester strains used in the study and did not adversely influence the proliferation of lymphocytes and macrophages and the IC50 was found to be 78.7μg​/mL and 128.54μg​/mL resp

A Review on Corrosion Studies of Titanium Alloys

Titanium and its alloys are used for manufacturing for some parts of automobiles, aerospace and artificial implants of human body. These alloys undergo various manufacturing processes like machining, joining, casting depending on the application. When components are made with titanium and its alloys during service, they are subjected to various conditions. There is a need to study the corrosion behaviour of these alloys in various mediums to access the resistivity. Hence in this paper an attempt is made to summarise the works done by earlier researchers on corrosion studies of titanium and its alloys

A review on various optimization techniques of resource provisioning in cloud computing

Cloud computing is the provision of IT resources (IaaS) on-demand using a pay as you go model over the internet.It is a broad and deep platform that helps customers builds sophisticated, scalable applications. To get the full benefits, research on a wide range of topics is needed. While resource over-provisioning can cost users more than necessary, resource under provisioning hurts the application performance. The cost effectiveness of cloud computing highly depends on how well the customer can optimize the cost of renting resources (VMs) from cloud providers. The issue of resource provisioning optimization from cloud-consumer potential is a complicated optimization issue, which includes much uncertainty parameters. There is a much research avenue available for solving this problem as it is in the real-world. Here, in this paper we provide details about various optimization techniques for resource provisioning

Drug utilization study in otorhinolaryngology outpatient department in a tertiary care teaching hospital

Background: Drug utilization research is defined by the World Health Organization (WHO) as marketing, distribution, prescription, and use of drugs in society, with special emphasis on the resulting medical, social, and economic consequences. Drug utilization study identifies the problems that arise from prescription and highlights the current approaches to the rational use of drugs. The main aim of the study is to assess the pattern of drug usage and the rationality of drug use in Otorhinolaryngology out-patient department (OPD).Methods: A prospective observational study was conducted in the OPD of Otorhinolaryngology at tertiary care hospital, Mandya, Karnataka, over a period of one year. Prescriptions of all OPD patients were collected, relevant information entered in a specially designed proforma and analysed using descriptive statistics.Results: A total of 21058 drugs were prescribed out of 8028 prescriptions. Majority of the patients were male (51%). Antimicrobials were the most commonly prescribed drugs (28%), followed by antihistamines (25%), antipyretics (20.5%).Most of the drugs 18576 (88.2%) were prescribed by oral route, followed by topical route. Majority of the drugs were prescribed by the generic names (86.5%). Most common type of infection was ear infection (3176), followed by throat infection (2848) and nose infection (2004).Conclusions: The present study showed that among antimicrobial agents, β lactams were commonly prescribed drugs in the department of Otorhinolaryngology. The maximum number of cases was diagnosed with ear infections and majority of the drugs were prescribed orally

A Review on Resource Provisioning Algorithms Optimization Techniques in Cloud Computing

Cloud computing is the provision of IT resources (IaaS) on-demand using a pay as you go model over the internet. It is a broad and deep platform that helps customers builds sophisticated, scalable applications. To get the full benefits, research on a wide range of topics is needed. While resource over provisioning can cost users more than necessary, resource under provisioning hurts the application performance. The cost effectiveness of cloud computing highly depends on how well the customer can optimize the cost of renting resources (VMs) from cloud providers. The issue of resource provisioning optimization from cloud-consumer potential is a complicated optimization issue, which includes much uncertainty parameters. There is a much research avenue available for solving this problem as it is in the real-world. Here, in this paper we provide details about various optimization techniques for resource provisioning

A Review on Corrosion Studies of Titanium Alloys

Titanium and its alloys are used for manufacturing for some parts of automobiles, aerospace and artificial implants of human body. These alloys undergo various manufacturing processes like machining, joining, casting depending on the application. When components are made with titanium and its alloys during service, they are subjected to various conditions. There is a need to study the corrosion behaviour of these alloys in various mediums to access the resistivity. Hence in this paper an attempt is made to summarise the works done by earlier researchers on corrosion studies of titanium and its alloys

WEIGHT BASED DEDUPLICATION FOR MINIMIZING DATA REPLICATION IN PUBLIC CLOUD STORAGE

The approach to minimize data replication in cloud storage is one of the challenging issues to process text data. The amount of digital data has been increasing exponentially. There is a need to reduce the amount of storage space by storing the data efficiently. In cloud storage environment, the data replication provides high availability with fault tolerance system. An effective approach of deduplication system using a weight based method is proposed at the target level in order to reduce the storage space in cloud. Storage space can be efficiently utilized by removing the unpopular files from the secondary servers. Target level consumes less processing power than Source level deduplication. Input text documents are stored into Dropbox cloud. The Term Frequency (TF) and Named Entity Recognition (NER) of the documents are found. The text features found are stored in database using MySQL. After storing features in database, fresh text documents are collected to find popular and unpopular files. TF and NER are found for the freshly collected text documents and duplicate features are removed to compare with the features stored in the database. On comparison, relevant text documents are listed. After listing text documents, document frequency, document weight and threshold factor are found. Depending on threshold factor, the popular and unpopular files are detected. The popular files are replicated in all the storage nodes to achieve availability. Before deduplication, the storage space occupied in the Dropbox cloud is 8.09MB. After deduplication, the unpopular files are removed from secondary storage nodes and the storage space occupied in the Dropbox cloud is 4.82MB. Finally, data replications are minimized and 45.6% of the cloud storage space is efficiently saved by applying weight based deduplication

Weight Based Deduplication for Minimizing Data Replication in Public Cloud Storage

260-269The approach to optimize the data replication in public cloud storage when targeting the multiple instances is one of the challenging issues to process the text data. The amount of digital data has been increasing exponentially. There is a need to reduce the amount of storage space by storing the data efficiently. In cloud storage environment, the data replication provides high availability with fault tolerance system. An effective approach of deduplication system using weight based method is proposed at the target level in order to reduce the unwanted storage spaces in cloud. Storage space can be efficiently utilized by removing the unpopular files from the secondary servers. Target level consumes less processing power than source level deduplication. Multiple input text documents are stored into dropbox cloud. The top text features are detected using the Term Frequency (TF) and Named Entity Recognition (NER) and they are stored in text database. After storing the top features in database, fresh text documents are collected to find the popular and unpopular files in order to optimize the existing text corpus of cloud storage. Top Text features of the freshly collected text documents are detected using TF and NER and these unique features after the removing the duplicate features cleaning are compared with the existing features stored in the database. On the comparison, relevant text documents are listed. After listing the text documents, document frequency, document weight and threshold factor are detected. Depending on average threshold value, the popular and unpopular files are detected. The popular files are retained in all the storage nodes to achieve the full availability of data and unpopular files are removed from all the secondary servers except primary server. Before deduplication, the storage space occupied in the dropbox cloud is 8.09 MB. After deduplication, the unpopular files are removed from secondary storage nodes and the storage space in the dropbox cloud is optimized to 4.82MB. Finally, data replications are minimized and 45.60% of the cloud storage space is efficiently saved by applying the weight based deduplication system

HEPATOPROTECTIVE ACTIVITY OF AQUEOUS EXTRACT OF CAESALPENIA BONDUC AGAINST CCL4 INDUCED CHRONIC HEPATOTOXICITY

Objective: The leaves of Caesalpinia bonduc (CB) have been used against various disorders in folk medicine including the liver disorders. Earlier, we have shown the hepatoprotective effect of CB in acute hepatotoxicity model. The present study was designed to evaluate the anti-hepatotoxic and anti-fibrotic effect of the aqueous leaf extract of CB on CCl4 (carbon tetrachloride) induced chronic hepatotoxicity/fibrosis in Wistar rats.Methods: Animals were divided into three groups namely; preventive, curative and prophylactic, which was further subdivided into four groups each: Group I–untreated control, group II-CCl4 control, group III-CB+CCl4 and group IV–silymarin+CCl4. The aqueous extract of CB/silymarin was administered orally once, daily for eight weeks in the curative group and for four weeks in preventive and prophylactic groups respectively. The chronic liver damage/fibrosis was induced by intraperitoneal injection of CCl4 twice a week, for four weeks in preventive and prophylactic groups and for eight weeks in the curative group. Blood samples were collected for assaying serum biochemical parameters, and the livers were excised and processed for histology.Results: The data showed that supplementation of aqueous leaf extract of CB along with CCl4 significantly reduced the serum levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase(ALP), total bilirubin(TB) and prothrombin time(PT) thus further restoring the total protein(TP) and albumin(ALB) in preventive, curative and prophylactic groups when compared to CCl4 control. Significant improvement in the microscopic structure of the liver further confirmed the hepatoprotective effect of aqueous extract of CB over the liver injury and fibrosis induced by CCl4 in rats.Conclusion: The study, therefore, suggests that aqueous extract of CB might provide a novel and alternative approach for treating the chronic hepatotoxicity/liver fibrosis.Keywords: Caesalpenia bonduc, Liver, Chronic, CCl4, Fibrosis, Silymarin, Hepato-protectio

Salmonella Type III Effector AvrA Stabilizes Cell Tight Junctions to Inhibit Inflammation in Intestinal Epithelial Cells

Salmonella Typhimurium is a major cause of human gastroenteritis. The Salmonella type III secretory system secretes virulence proteins, called effectors. Effectors are responsible for the alteration of tight junction (TJ) structure and function in intestinal epithelial cells. AvrA is a newly described bacterial effector found in Salmonella. We report here that AvrA expression stabilizes cell permeability and tight junctions in intestinal epithelial cells. Cells colonized with an AvrA-deficient bacterial strain (AvrA−) displayed decreased cell permeability, disruption of TJs, and an increased inflammatory response. Western blot data showed that TJ proteins, such as ZO-1, claudin-1, decreased after AvrA- colonization for only 1 hour. In contrast, cells colonized with AvrA-sufficient bacteria maintained cell permeability with stabilized TJ structure. This difference was confirmed in vivo. Fluorescent tracer studies showed increased fluorescence in the blood of mice infected with AvrA- compared to those infected with the AvrA-sufficient strains. AvrA- disrupted TJ structure and function and increased inflammation in vivo, compared to the AvrA- sufficient strain. Additionally, AvrA overexpression increased TJ protein expression when transfected into colonic epithelial cells. An intriguing aspect of this study is that AvrA stabilized TJs, even though the other TTSS proteins, SopB, SopE, and SopE2, are known to disrupt TJs. AvrA may play a role in stabilizing TJs and balancing the opposing action of other bacterial effectors. Our findings indicate an important role for the bacterial effector AvrA in regulation of intestinal epithelial cell TJs during inflammation. The role of AvrA represents a highly refined bacterial strategy that helps the bacteria survive in the host and dampen the inflammatory response