Development of a low cost EMG devices to display electrical activity of skeletal muscle on a smartphone

by Sitesh KumarM.Tech

Computer Aided Drug Design: The Most Fundamental Goal is to Predict Whether a Given Molecule will Bind to a Target and if so How Strongly

In the most basic sense, drug design involves the design of small molecules that are complementary in shape and charge to the bimolecular target with which they interact and therefore will bind to it. Drug design, sometimes referred to as rational drug design or more simply rational design is the inventive process of finding new medications based on the knowledge of a biological target. The drug is most commonly an organic small molecule that activates or inhibits the function of a biomolecule such as a protein, which in turn results in a therapeutic benefit to the patient. Drug design frequently but not necessarily relies on computer modeling techniques. This type of modeling is often referred to as computer-aided drug design. Finally, drug design that relies on the knowledge of the three-dimensional structure of the bimolecular target is known as structure-based drug design. Structure-based drug design (or direct drug design) relies on knowledge of the three dimensional structure of the biological target obtained through methods such as x-ray crystallography or NMR spectroscopy. If an experimental structure of a target is not available, it may be possible to create a homology of the target based on the experimental structure of a related protein. Using the structure of the biological target, candidate drugs that are predicted to bind with high affinity and selectivity to the target may be designed using interactive graphics and the intuition of a medicinal chemist. Alternatively various automated computational procedures may be used to suggest new drug candidates. Keywords: Therapeutic, Three-dimensional structure, Rational drug design, Structure-based drug design, Crystallography and Spectroscopy

Prospects of 4H-SiC Double Drift Region IMPATT Device as a Photo-Sensitive High-Power Source at 0.7 Terahertz Frequency Regime

The dynamic performance of wide-bandgap 4H-SiC based double drift region (p++ p n n++) IMPATT diode is simulated for the first time at terahertz frequency (0.7 Terahertz) region. The simulation experiment establishes the potential of SiC based IMPATT diode as a high power (2.5×1011 Wm−2) terahertz source. The parasitic series resistance in the device is found to reduce the RF power output by 10.7%. The effects of external radiation on the simulated diode are also studied. It is found that (i) the negative conductance and (ii) the negative resistance of the diode decrease, while, the frequency of operation and the quality factor shift upward under photoillumination. Holes in 4H-SiC based IMPATT are found to dominate the modulation activities. The inequality in the magnitude of electron and hole ionization rates in the semiconductors may be correlated with these findings

A system of remote patients' monitoring and alerting using the machine learning technique

Machine learning has become an essential tool in daily life, or we can say it is a powerful tool in the majority of areas that we wish to optimize. Machine learning is being used to create techniques that can learn from labelled or unlabeled information, as well as learn from their surroundings. Machine learning is utilized in various areas, but mainly in the healthcare industry, where it provides significant advantages via appropriate decision and prediction methods. ,e proposed work introduces a remote system that can continuously monitor the patient and can produce an alert whenever necessary. ,e proposed methodology makes use of different machine learning algorithms along with cloud computing for continuous data storage. Over the years, these technologies have resulted in significant advancements in the healthcare industry. Medical professionals utilize machine learning tools and methods to analyse medical data in order to detect hazards and offer appropriate diagnosis and treatment. ,e scope of remote healthcare includes anything from tracking chronically sick patients, elderly people, preterm children, and accident victims.The current study explores the machine learning technologies’ capability of monitoring remote patients and alerts their current condition through the remote system. New advances in contactless observation demonstrate that it is only necessary for the patient to be present within a few meters of the sensors for them to work. Sensors connected to the body and environmental sensors connected to the surroundings are examples of the technology available.Campus At

An Investigation in Analyzing the Food Quality Well-Being for Lung Cancer Using Blockchain through CNN

Deep learning (DL) is a new approach that provides exceptional speed in healthcare activities with greater accuracy. In this regard, "convolutional neural network"or CNN and blockchain are two important parts that together fasten the disease detection procedures securely. CNN can detect and predict diseases like lung cancer and help determine food quality, and blockchain is responsible for data. This research is going to analyze the extension of blockchain with the help of CNN for lung cancer prediction and making food safer. CNN algorithm has been trained with a huge number of images by altering the filters, features, epoch values, padding value, kernel size, and resolution. Subsequently, the CNN accuracy has been measured to understand how these factors affect the accuracy. A linear regression analysis has been carried out in IBM SPSS where the independent variables selected are image dataset augmentation, epochs, features, pixel size (90 × 90 to 512 × 512), kernel size (0-7), filters (10-40), and padding. The dependent variable is the accuracy of CNN. Findings suggested that a larger number of epochs improve the CNN accuracy; however, when more than 12 epochs are considered, the accuracy may decrease. A greater pixel/resolution also improves the accuracy of cancer and food image detection. When images are provided with excellent features and filters, the CNN accuracy improves. The main objective of this research is to comprehend how the independent variables affect the accuracy (dependent), but the reading may not be fully exact, and thus, the researcher has conceded out a minor task, which delivered evidence supportive of the analysis and against the analysis. As a result, it can be determined that image augmentation and a large number of images develop the CNN accuracy in lung cancer prediction and food safety determination when features and filters are applied correctly. A total of 10-12 epochs are desirable for CNN to receive 99% accuracy with 1 padding.Revisión por pare

Prospects of 4H-SiC double drift region Impatt diode as a photosensitive high power source at 0.7 terahertz frequency regime”, Hindawi Publication Corporation: active and passive electronic components 8, online, article ID

The dynamic performance of wide-bandgap 4H-SiC based double drift region (p ++ pnn ++ ) IMPATT diode is simulated for the first time at terahertz frequency (0.7 Terahertz) region. The simulation experiment establishes the potential of SiC based IMPATT diode as a high power (2.5 × 10 11 Wm −2 ) terahertz source. The parasitic series resistance in the device is found to reduce the RF power output by 10.7%. The effects of external radiation on the simulated diode are also studied. It is found that (i) the negative conductance and (ii) the negative resistance of the diode decrease, while, the frequency of operation and the quality factor shift upward under photoillumination. Holes in 4H-SiC based IMPATT are found to dominate the modulation activities. The inequality in the magnitude of electron and hole ionization rates in the semiconductors may be correlated with these findings

Role of histamine as a toxic mediator in the pathogenesis of vitiligo

Background: The precise cause of vitiligo is still unclear. Multiple theories have been proposed, including genetic, autoimmune, neural, and biochemical mechanisms. An immune mediated pathogenesis is indeed the most popular theory. The autoimmune hypothesis considers the role of toxic mediator that might cause an injury to the melanocytes with the release of an antigenic substance and subsequent autoimmunization. Aims: This study performed over a period of 10 years (February 1975 to June 1985) aims at exploring the role that histamine might play in the pathogenesis of vitiligo. Materials and Methods: Fifty patients with a particular type of vitiligo characterized by faint white patches occurring with significant pruritus and a history of atopy were selected and blood histamine levels were determined by Bio-Assay method. Results: Blood histamine values of patients with vitiligo of short duration and with pruritus were significantly increased in comparison with values of matched controls. Conclusion: Histamine appears to play a significant role in the pathogenesis of a particular type of vitiligo characterized by faint hypopigmented patches with significant itching

Recent trends in non-thermal plasma and plasma activated water: Effect on quality attributes, mechanism of interaction and potential application in food & agriculture

The awareness of this era in consuming safe, nutritional, and minimally processed food is growing continuously. In order to address all of these consumer expectations, the food industry has adopted innovative non-thermal processes. Non-thermal plasma is an innovative non-thermal approach with the potential to offer safe and stable food while maintaining its nutritional and sensory attributes. This article discusses the general applications of non-thermal plasma in the food industry. It explores the fundamentals of non-thermal plasma generating systems. It also emphasizes the mechanism of plasma's interaction with microbial decontamination, enzyme inactivation, polyphenol compounds, and physicochemical attributes of food materials. This study also highlights published findings regarding the application of plasma towards the decontamination of various food items and packaging materials, along with its impact on various food quality attributes. In addition, non-thermal plasma applied to water produces plasma-activated water. The mechanism of plasma-activated water formation and its implications in food disinfection, seed germination, and plant growth are explored. Additionally, the authors have reviewed the influence of plasma-activated water on several food aspects. Future studies are required to utilize this technique and scale up for commercial production effectively

Simulation of Crystallization of Molten Corium inside Core Catcher of VVER- 1000

Modern NPP designs require a device for core melt localization within the containment as a key element of severe accident management. In KKNPP a crucible type core catcher has been installed for retention and cooling of molten corium inside the containment in case of core melt accident. Heat from this molten corium is initially removed from lateral and bottom walls of core catcher and later water is supplied on top melt to intensify the cooling of molten corium. Heat removal from molten corium results in crystallization of molten corium inside the core catcher. The crystallization of molten corium is necessary for the entrapment of radioactive fission products inside the core catcher. The paper deals with the calculation of crystallization time of molten corium inside the core catcher of KKNPP. Different components of melt (oxidic and metallic) and undissolved Oxidic sacrificial material (OSM), which has not melted during OSM and corium interaction has been considered in the calculation of melt crystallization time. Calculations for time determination is performed through the numerical simulation of temperature state of crystallized ingot with the use of finite volume method in axially symmetrical approach. Body fitted coordinate system coupled with the energy solver has been used to generate grids for the considered complex computational domain and to solve the energy equation for the same