Research on analytical methods of analysis of Ranolazine: A Review

New antianginal drugs examines are focusing on promising concentrations in order to develop new prescription contenders. Fundamental and biochemical strategy feeble connection between seriousness of torment and level of oxygen hardship in the heart muscle, for instance at times, angina can be very extreme, and in the mid twentieth century this was a known indication of looming demise, can accept an essential activity in the distinctive evidence of these goals. Compounding angina assaults, abrupt beginning angina very still, and angina enduring over 15 minutes are indications of flimsy angina (normally gathered with comparative conditions as the intense coronary disorder). As these may go before a respiratory failure, they require critical clinical consideration and are, all in all, rewarded in comparative design to myocardial localized necrosis. The pharmaceutical undertakings are centered around new drug improvement due to the overall affirmation of this unsafe security from the correct now available antianginal treatment. The HPLC, UV and HPTLC methods are available for the assessment of Ranolazine the starting late used prescription for intestinal sickness are studied in this articles

Recent Research on Analytical Methods of Analysis of Artemether and Lumefantrine: a Review

New antimalarial tranquilize investigates are concentrating on promising focuses so as to grow new medication competitors. Essential digestion and biochemical procedure in the malarial parasite, for example Plasmodium falciparum can assume a vital job in the distinguishing proof of these objectives. In any case, the rise of protection from antimalarial drugs is a heightening far reaching issue with the advancement of antimalarial medicates improvement. The pharmaceutical enterprises are focused on new medication improvement because of the worldwide acknowledgment of this perilous protection from the right now accessible antimalarial treatment. The HPLC, UV and HPTLC techniques are accessible for the examination of Artemether and Lumefantrine the as of late utilized medication for malaria are surveyed in this article

Depth Estimation for 2D-to-3D Image Conversion Using Scene Feature

In this modern era 3D supportive hardware popularity is increased but the demand for 3D contents and there availability is not matching. They are still dominated by its 2D counterpart hence there is need of 3D contents. While doing 2D-to-3D image or video conversion depth estimation is a key step and a bit challenging procedure. There are distinct parameters that can be considered during conversion like, structure from motion, defocus, perspective geometry, etc. Until now many researchers have been proposed different methods to close this gap by considering one or many parameters. In this paper for depth estimation, conversion using scene feature is used. Here color is chosen as a scene feature. Intensity information is used here to estimate depth image, hence RGB to HSV conversion is performed from which Value (V) deals with intensity information. RGB to HSV conversion is implemented on FPGA. The proposed method is prototyped on Spartan 3E FPGA based developing board and MATLAB. DOI: 10.17762/ijritcc2321-8169.15068

Building Early Warning Systems for Public Health Concerns Using AI-assisted Electrical Modelling for Epidemic Pattern Recognition

A rapid recognition and handling of new threats to public health is crucial for reducing large-scale epidemic outbreaks as well as related consequences. However, this study is relevant because it could enhance the surveillance capabilities that can be used to respond swiftly and effectively to major outbreaks. While there are numerous challenges facing the use of artificial intelligence (AI) in epidemiological research, such technology has a lot of promise. Some of these include integration of complex data sources, validating data, managing computational requirements, and identifying and addressing privacy and security concerns No one doubts that Surveillance Predictive Modeling System-Based Healthcare Framework (SPMS-HF) will overcome these setbacks. SPMS-HF works by using potent AI algorithms to analyze electrical data and hence predict outbreak conditions. This allows for more accurate predictions and early warnings of potential public health risks. There could be different uses for SPMS-HF including real-time disease surveillance, resource efficiency, and public health. Implementation of this program enables healthcare givers alongside police officers to boost community health outcomes while improving their counter-response attitudes. To illustrate the applicability of SPMS-HF simulation analysis was carried out on historical epidemiological data. The results suggest that the model can identify possible health hazards as well as predict future outbreaks with accuracy These findings illustrate how e-images with AI can produce credible warning systems for public health

Cybersecurity and Compliance in Healthcare: A Study on Key Management and Other Regulatory Requirements

Typically, WSNs are implemented in several applications with various topologies. Nodes use wireless mode of communication, and unattended areas are typically selected for WSN deployment. Attack risk is higher in WSNs. Furthermore, the WSN nodes have severe resource constraints. It is quite difficult to provide security in such a setting. Numerous protocols for key management chores and encryption strategies for maintaining security in the WSN environment have been documented in literature. The criticality of the data being transferred over the network determines how complex the assault will be. Applications that monitor agriculture, for example, are safe from attacks. However, applications related to the military and healthcare could attract attackers who are far more skilled. Applications that involve process control and habitat monitoring attract attackers with medium to low skill levels. There isn\u27t a single protocol available right now that could be flexible enough to meet the different requirements of the apps, which typically have variable security requirements. For these different applications, there are differences in the key management task, which is strongly related to the security requirements. As a result, the precise kind and complexity of the key management technique must be chosen and built in accordance with the necessary level of security, the capabilities of the hardware devices available, and the network topology that is used

Projections of totally disconnected thin fractals with very thick shadows on Rd{\mathbb R}^d

We study an extreme scenario of the Mastrand projection theorem for which a fractal has the property that its orthogonal projection is the same as the orthogonal projection of its convex hull. We extend results in current literature and establish checkable criteria for self-affine sets to have such property. Using this, we show that every convex polytope on $\R^d$ contains a totally disconnected compact set, which is a union of self-affine sets, of dimension as close to 1 as possible, as well as a rectifiable 1-set, such that the fractal projects to an interval in every 1-dimensional subspace and its convex hull is the given polytope. Other convex sets and projections onto higher dimensional subspaces will also be discussed

WARFARIN-INDUCED ALOPECIA: A RARE CASE REPORT

  As new drugs are developed everywhere worldwide to combat many diseases, side effects due to drugs are always a matter of concern. Warfarin is indicated for the treatment of venous thromboembolism over many decades and it is always associated with many side effects ranging from bleeding complications, gastrointestinal disturbances to skin necrosis. Hair fall with oral anticoagulants had always been a matter of debate and concern and so far, only very few case reports have been published on warfarin-induced hair loss. Hence, we report a case of warfarin-induced alopecia in a 39-year-old male in a tertiary care hospital in Southern India

Role of serum progesterone in threatened miscarriage

Background: Miscarriage is the inadvertent loss of a pregnancy before the fetus is viable. The World Health Organization defines this un-survivable state as an embryo or fetus weighing 500 grams or less, which typically corresponds to a fetal age (gestational age) of 20 to 22 weeks or less.Methods: The present study was conducted in the Department of Obstetrics and Gynaecology, M. G. M. Medical College and M.Y. Hospital, Indore from October 2013 to October 2014 on 100 patients.Results: The incidence of first trimester threatened miscarriage, in the Gynaec O.P.D. of M.Y. Hospital, Indore, was 8.8%. The most common risk factor was a history of previous miscarriages in 38% of cases while 9% had advanced maternal age and 35% had advanced paternal age. History of preterm labour was positive in 25% cases and that of congenital anomaly in previous pregnancy in 7% cases. UTI and vaginitis were diagnosed in 10% and 11% cases respectively. Systemic illness was in 24% cases while 6% cases had endocrine disorders. On USG missed miscarriage was found in 8% inconclusive ultrasound was found in 34% cases, rest were normal. Of the 38 cases giving history of previous 1, 2, 3 and more than or equal to 4 miscarriages were 22%, 6%, 8% and 2 % respectively. 36% of the patients presented with bleeding per vaginum. only while 30% had bleeding with pain and 33% cases had only pain in abdomen. On USG 58% had normal scans. USG scan was inconclusive in 34% and only 35% continued with viable pregnancy, rest aborted. 7 of the 100 cases had preterm labour and 51 cases continued to term. Rest 42 aborted. H/o contact, travel, trauma, heavy work did not have any statistically proven effect on outcome of pregnancy.Conclusions: Progesterone assays are currently available in most immunoassay platforms and have shown excellent performance in terms of assay sensitivity, specificity, accuracy and precision with rapid turnaround times. Furthermore, the cost per test for progesterone assay is affordable. Several studies have shown that progesterone is the most specific biomarker for distinguishing viable from nonviable pregnancies. The downfall of progesterone as a biomarker is due to the different cut-off values used by researchers. The cut-off values were also determined on different study populations

MANGO STARCH: ITS USE AND FUTURE PROSPECTS

Mango (Mangifera indica L.) is tropical fruit with high nutritional value. The aim of present work was to isolate the starch from black variety of mango and evaluate the physicochemical as well as functional properties. Starch is widely used in the food and pharmaceutical industries for various applications. These industries depend on crops that are also the traditional sources of food resulting high demands with consequence economic implications. The results showed that the moisture content (14.93%) was higher while ash content (0.12%) was low. Amylose content was 35.06%. It was observed that the onset gelatinization temperature of the starch ranged from 50°C whereas, the conclusion gelatinization temperature was from 91-92.5°C. The starch show adequate properties and could be alternative source for the production of industrial products that may require starch.Â

Semantic Search and Social-Semantic Search as Cooperative Approach

Social and semantic web can be combined for searching web resources. A semantic search engine can find accurate results and annotate web resources using this cooperative approach.As the volume of information is growing, the syntactically correct outputs given by traditional search engines for the user queries have enlarged directly. In order to find exact answers for user queries many more Semantic Search Engines (SSE) are developed now a day. The Semantic Search Engines use a wide range of methods for matching the semantics behind user queries and the indexed collection of resources. The survey shows the semantic search engines domain, and presents a miscellaneous of perspectives about the different classification of approaches. A comparative scheme is presented here and the prevalent research directions in SSE with the advancements in it are identified for the efficient searching techniques