Ayurveda and Modern perspective on Food Poisoning and its Medical Management

Food poisoning, also known as food borne illness, arises from consuming tainted food, with infectious agents or their toxins contaminating the food at any stage of processing. Mishandling or improper cooking at home can also lead to contamination. Symptoms include vomiting, nausea, diarrhea, stomach discomfort and fever. In Ayurveda, the body's equilibrium is governed by three Doshas; Vata, Pitta and Kapha. Disproportion in any of these Doshas can result in ailments. Aalsak and Visuchika are Ayurvedic conditions akin to food poisoning, preventable through a balanced diet and lifestyle. Ayurveda also suggested some drugs such as; Hinguvachaadi Choornam, Dashamoolarishtam, Hinguvachadi Gulika and Dhaanwantharam Kashaayam, etc. to address condition of food poisoning. Present article discussed Ayurveda and modern perspective on food poisoning and its medical management

Predicting Compressive Strength of Recycled Aggregate Concrete using Analysis of Variance

A step-by-step statistical approach is proposed to obtain optimum proportioning of concrete mixtures using the data obtained through a statistically planned experimental program. The utility of the proposed approach for optimizing the design of concrete mixture is illustrated considering a typical case in which trial mixtures were considered according to a full factorial experiment design involving three factors and their three levels. A total of 27 concrete mixtures with three replicates were considered by varying the levels of key factors affecting compressive strength of concrete, namely, w/c ratio, recycled coarse /natural coarse aggregate ratio, and recycled fine/ natural fine aggregate ratio .The experimental data were utilized to carry out analysis of variance (ANOVA) and to develop a polynomial regression model for compressive strength in terms of the three design factors considered in this study. The developed statistical model was used to show how optimization of concrete mixtures can be carried out with different possible options

Anonymous Key Generation Technique with Contributory Broadcast Encryption

Encryption is used in a communication system to secure information in the transmitted messages from anyone other than the well-intended receiver. To perform the encryption and decryption the transmitter and receiver should have matching encryption and decryption keys. For sending safeguard information to group needed broadcast encryption (BE). BE allows a sender to securely broadcast to any subset of members and require a trusted party to distribute decryption keys. Group key agreement (GKA) protocol allows a number of users to establish a common secret channel via open networks. Observing that a major goal of GKA for most applications is to create a confidential channel among group members, but a sender cannot omit any particular member from decrypting the cipher texts. By bridging BE and GKA notion with a hybrid primitive referred to as contributory broadcast encryption (CBE). With these primitives, a group of members move through a common public encryption key while each member having there decryption key. A sender seeing the public group encryption key can limit the decryption to subset of members of sender’s choice. A simple way to generate these keys is to use the public key distribution system invented by Diffie and Hellman. That system, however, pass only one pair of communication stations to share a particular pair of encryption and decryption keys. Key distribution sets are used to generate keys and Elliptic Curve Cryptography (ECC) is used for the encryption and decryption of documents; and this going to provide the security for the documents over group communication

A validated RP-HPLC method for simultaneous determination of Hydrochlorothiazide and Losartan Potassium in pharmaceutical formulation

A new, simple and sensitive reverse phase high performance liquid chromatographic (RP-HPLC) method has been developed for the separation and quantification of Hydrochlorothiazide (HCTZ) and Losartan Potassium (LOS) in tablet dosage form. The determination was carried out using GRACE C18 [4.6 x 250 mm] column as a stationary phase and mobile phase comprised of Acetonitrile: Phosphate Buffer(50 : 50) pH 3.1 in proportion of 50:50(v/v); the pH of phosphate buffer adjusted to (3.1) using orthophosphoric acid. The flow rate was maintained at 1.0ml/min and the eluent was monitored at 226nm.The retention time of MET and VILD were 4.250 min and 8.300 min respectively. The method was validated in terms of linearity, precision, accuracy, specificity and robustness. The method was linear and for precision studies; RSD for HCTZ and LOS were 0.02 and 0.04 respectively. The percentage recoveries for both drugs from their tablets were 100.80 and 99.76 respectivel

Immunohistochemical and Molecular Detection of pH1N1 in NecropsiedPulmonary Tissues of Fatal Cases with Indeterminate Conventional Testing

The rapid emergence of a novel influenza A/H1N1 virus designated pH1N1 2009 caused one of the fastest pandemics of the twentieth century. The rapid development of an accurate detection test for this pandemic virus using reverse transcription-real time polymerase chain reaction (rRT-PCR) helped in timely diagnosis. In India this pandemic peaked between August to October 2009. The r-RT PCR for pH1N1 2009 was the main diagnostic test used on throat/nasopharyngeal swabs in all cases. While in majority of the cases this test provided reliable confirmation of the virus, it gave negative or indeterminate results in a subset of cases meeting the standard case definition for the pandemic infection and negative for seasonal flu. In the present study we examined 4 such fatal cases where microscopic pathology of the lung was consistent with viral bronchopneumonia for the presence of pH1N1 2009 using r-RT PCR on nucleic acid extracted from the paraffin sections that showed presence of viral antigens by immunohistochemistry. In all 4 cases pH1N1 sequences could be identified. These findings therefore emphasize the important role of microscopic pathology techniques in conjunction with molecular tools in the diagnostic confirmation of novel agents during a public health emergency

Detecting Malicious Applications from the cloud by using user feedback method

As in recent period of computers and internets, mobiles devices, Smartphone’s plays a vital role in human day to day activities. Also now a days Smartphone’s & tablets are becoming very popular especially android based Smartphone’s are gaining much more popularity as compared to Apple’s iOS. These Smartphone’s having lot of applications and features based on only internet but these new emerging features of these devices give opportunity to new malwares & threats. Android is comparatively new OS hence its makes very hard to detect and prevent these viruses and malwares attacks by using some basic traditional mechanisms. So security of these Smartphone’s is now becoming very popular issue of researchers. The lack of standard security mechanism in Android applications is very useful to hackers. So to overcome these various pitfalls we use cloud services as a security weapon for providing decent security system for Android applications

PROTECTIVE EFFECT OF DIOSGENIN AGAINST CARBON TETRACHLORIDE AND CISPLATIN INDUCED HEPATOTOXICITY IN RATS

Background: Activation of hepatic stellate cells (HSC) plays central role in the development of liver fibrosis. In HSC activation, the transforming growth factor-1 (TGF-1) is considered to be the main stimuli factor. Diosgenin are the steroidal saponin and found in Trigonella foenum graecum Linn (Fenugreek) and some other species of Dioscorea. Diosgenin attenuates HSC activation by inhibiting transforming growth factor. Aim: In present study an attempt was made to explore the effect of diosgenin on liver fibrosis. Methods: Liver fibrosis was induced in rats by carbon tetrachloride (CCl4) 1 ml/kg intraperitoneally twice a week for 28 days and cisplatin 3mg/kg intraperitoneally at 0, 1, 3 week for 4 weeks. The extent of liver fibrosis was assessed by measuring the weight of liver and levels of total bilirubin (TBL), hydroxyproline (HP) and serum enzymes due to deposition of extracellular matrix (ECM). Results: The administration of diosgenin reduced the liver weight of CCl4 and cisplatin treated animals and reduced the TBL, HP level and serum enzymes significantly and inhibited liver fibrosis induced by CCl4 and cisplatin. Conclusion: The result obtained in the present investigation, Diosgenin treatment exerted significant hepatoprotective effect in animals by inhibiting ECM deposition and HSCs activation

PROTECTIVE EFFECT OF DIOSGENIN AGAINST CARBON TETRACHLORIDE AND CISPLATIN INDUCED HEPATOTOXICITY IN RATS

Background: Activation of hepatic stellate cells (HSC) plays central role in the development of liver fibrosis. In HSC activation, the transforming growth factor-1 (TGF-1) is considered to be the main stimuli factor. Diosgenin are the steroidal saponin and found in Trigonella foenum graecum Linn (Fenugreek) and some other species of Dioscorea. Diosgenin attenuates HSC activation by inhibiting transforming growth factor. Aim: In present study an attempt was made to explore the effect of diosgenin on liver fibrosis. Methods: Liver fibrosis was induced in rats by carbon tetrachloride (CCl4) 1 ml/kg intraperitoneally twice a week for 28 days and cisplatin 3mg/kg intraperitoneally at 0, 1, 3 week for 4 weeks. The extent of liver fibrosis was assessed by measuring the weight of liver and levels of total bilirubin (TBL), hydroxyproline (HP) and serum enzymes due to deposition of extracellular matrix (ECM). Results: The administration of diosgenin reduced the liver weight of CCl4 and cisplatin treated animals and reduced the TBL, HP level and serum enzymes significantly and inhibited liver fibrosis induced by CCl4 and cisplatin. Conclusion: The result obtained in the present investigation, Diosgenin treatment exerted significant hepatoprotective effect in animals by inhibiting ECM deposition and HSCs activation

Transfer and Ensemble Approach for Breast Cancer Detection and Classification Using Deep Learning

Breast cancer is a serious disease that can cause significant health problems for women worldwide. It is crucial to detect and classify breast cancer early stage so that doctors can promptly treat it and aid patients in their recovery. Many investigators have used various deep learning (DL) strategies to detect and classify breast cancer. However, due to the complexity of the problem, relying on a single DL model may not suffice to achieve high accuracy. Therefore, this study suggests a transfer and ensemble deep model for breast cancer detection and classification. The suggested model involves using pre-trained models such as Sequential, Xception, DenseNet201, VGG16, and InceptionResNetV2. The top three models are selected to collaborate and deliver the most accurate results. The proposed DL model was tested on publicly available breast BUSI datasets, demonstrating its superiority over single DL models, achieving an accuracy of 87.9% on the BUSI dataset. Additionally, the model proved to be adapTABLE to different amounts of data, making it potentially valuable in hospitals and clinics

A Simple and Efficient Synthesis of 2,3-Diarylnaphthofurans using Sequential Hydroarylation/Heck Oxyarylation

An efficient and simnple strategy has been developed for the synthesis of 2,3-diarylnaphthofurans using sequential hydroarylation of naphthols and alkynes in the presence of In(OTf)3 under microwave irradiation followed by one-pot Heck-oxyarylation of generated 1-substituted-a-hydroxy styrenes