GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES RULE BASED APRIORI APPROACH FOR HEART DISEASE PREDICTION

International audienceThe work on diverse forms of data-mining techniques is used for the prediction of severe problems of the heart disease. It is usually done by the use of different data-mining tools. Apriori Rule base is useful in many domains playing a prime role in clinical research methods where the algorithms for Apriori Rule base processes are preferred to extract the knowledge i.e. hidden in the data-set. The scientifically discovered patterns helps in aiding the process of decision making which helps in saving the human lives facing the problem of heart disease. Health care organizations are undergoing major challenges leading to catastrophic results that are unacceptable in nature. The bad decisions related to health may cause death of human. In order achieve a cost-effective and corrective treatment, a good methodology should be adopted. The traditional methods of medical system reveals failed results and does not reveal the actual cause of pain. The main motive of this thesis is to design a system that helps in determining and extracting the knowledge i.e. hidden from the past patient's records. It further detects the heart disease and allows the practitioners to take accurate decisions. To overcome these challenges decision support system and computer based information system must be used for better precise results. The process of heart abnormality prediction involves the use of a distinct form of technique known as Apriori Rule base. Relying on data-mining techniques, the process of mining has dedicated its career in planning of how to draw conclusions from diverse form of information

Modulation of Inflammatory Dynamics by Insulin to Promote Wound Recovery of Diabetic Ulcers

About 5% of the world population is diabetic and are at a risk of slow non-recoverable wound formation. Estimated 15–25% of diabetic patients develop foot ulcers, 6% among them needing clinical attention among which 15–20% will need an amputation. This counts for around 50% of all traumatic amputation. Wound leads to activation of dynamic inflammatory cascade responsible for the healing process. But in diabetes, a persistent rise of pro-inflammatory cytokines and low anti-inflammatory cytokines blocks the dynamic cascade. Wounding induces various pro-inflammatory cytokines such as IL-1, IL-6, IL-12, IL-18, IFN-γ, and TNFs causing accumulation of free radicals leading to inflammation which become persistent in diabetes. Inhibition of proinflammatory cytokines drives the equilibrium towards the expression of anti-inflammatory cytokines such as IL4, IL-10, IL-11, IL-13, IFN-α, and TGF-β, which is necessary for the wound recovery process. Here in this chapter, the inflammatory modulatory roles of different drugs/formulations have been discussed to unravel their significance to promote wound recovery

Determinantes da Satisfação do Cliente com Relação aos Aplicativos de Pedidos de Alimentos: uma Visão Estratégica

Through this study, we tried to analyze customer behavior towards food delivery apps as well as make a comparison of behavior by users from two tiers which is made to suggest strategies for food delivery startups. To accomplish this objective, first the literature is reviewed to develop a constructive model, and then primary data is collected from food app users in the Indian cities of Chandigarh and Bhubaneswar to verify the assumptions on factors affecting their behavior. The results show that financial and health safety, along with flexible delivery and ease of use are significant determinants of customer satisfaction in digital food service and the behavior of customers in two different tiers is shown to be similar, except in the significance of variety options and few aspects of discounts and flexible delivery. This study is significant for food delivery stakeholders such as investors, founders of startups, and vendors to strategize their service as per preferences of the end customer found in this studyPor meio deste estudo, procurou-se analisar o comportamento do cliente em relação aos aplicativos de pedidos de comida, bem como comparar o comportamento dos usuários de dois níveis para sugerir estratégias para startups de entrega de comida. Para atingir esse objetivo, primeiro a literatura é revisada para desenvolver um modelo construtivo e, em seguida, os dados primários são coletados de usuários de aplicativos de comida nas cidades indianas de Chandigarh e Bhubaneswar para verificar as suposições sobre os fatores que afetam seu comportamento. O resultado mostrou que a segurança financeira e de saúde, juntamente com a entrega flexível e a facilidade de uso, são determinantes significativos da satisfação do cliente no serviço de alimentação digital e o comportamento dos clientes em dois níveis diferentes mostrou semelhança, exceto a importância das opções de variedade e poucos aspectos de descontos e entrega flexível. Este estudo é significativo para os stakeholders na entrega de alimentos, como investidores, fundadores de startups, e fornecedores para criar estratégias para seus serviços de acordo com as preferências do cliente final encontradas neste estudo

RADIO FREQUENCY MICRO ELECTRIC MECHANICAL SYSTEM (RF MEMS) AND ITS CLASSIFICATION

ABSTRACT The term RF MEMS refers to the design and fabrication of MEMS for RF integrated circuits. It should not be interpreted as traditional MEMS devices operating at RF frequencies. MEMS devices in RF MEMS are used for actuation or adjustment of a separate RF device or component, such as variable capacitors, switches, and Traditional MEMS can be divided into two classes: MEMS actuators and MEMS sensors. The rst one is a kind of moving mechanism activated by an electrical signal like Micro motor. Micro sensors are currently available for a large number of applications. Historically, owing to their ease of fabrication, these were the earliest Microsystems. Another reason for the actuators not becoming popular is that the amount of energy generated by such tiny systems does not cause much impact in the associated systems. However, it can be seen later, for microwave and millimetre wave systems, these forces are suf change the properties of overall systems. Passive devices include bulk micro machined transmission lines, lters and couplers. Active MEMS devices include switches, tuners and variable capacitors

A comprehensive Analysis of Nanoscale Transistor Based Biosensor: A Review

304-318Imperative introduction of biosensor in the field of medicine, defence, food safety, security and environmental contamination detection acquired paramount attraction. Thus the foundation of the fame of biosensors in detecting wide scope of biomolecules in innumerable fields has driven researchers in advancement of biosensor and enhancing more updates in devices. Among all semiconductor-FET based biosensors grab attraction due to their miniaturization, mass production, ultra-sensitive in nature, improved lifetime, rapid response and reduce thermal budgets. In this review, field effect based biosensors sensitive to ions their principle model along with pros and cons of different structures. Various performance characteristics for semiconductor based biosensor are explored along with detection of label free analytes such as tuberculosis, glucose, antigen 85-B with ISFET. Following with comprehensive detail on MOSFET junction less Silicon based Dual Gate Biosensor with their design parameters for biosensing of neutral and charged analytes with results summarized in table. Drawbacks of dual gate structure introduce cylindrical structures summarized in table with device parameters and respective sensitivity. Role of analytes size in choosing the cavity width and position of analytes influence the sensitivity is recorded. Recent advancement on selectivity, sensitivity and switching results the gate and channel engineering thus compound semiconductor came in picture. In last section challenges with solution and importance of III-V compound channel as scope in biosensor with taking the benefits of fabrication of III-V compound MOSFETs. Semiconductor compound properties are summarized in table for various applications in recent use

A comprehensive Analysis of Nanoscale Transistor Based Biosensor: A Review

Imperative introduction of biosensor in the field of medicine, defence, food safety, security and environmental contamination detection acquired paramount attraction. Thus the foundation of the fame of biosensors in detecting wide scope of biomolecules in innumerable fields has driven researchers in advancement of biosensor and enhancing more updates in devices. Among all semiconductor-FET based biosensors grab attraction due to their miniaturization,mass production, ultra-sensitive in nature, improved lifetime, rapid response and reduce thermal budgets. In this review, field effect based biosensors sensitive to ions their principle model along with pros and cons of different structures. Various performance characteristics for semiconductor based biosensor are explored along with detection of label free analytes such as tuberculosis, glucose, antigen 85-B with ISFET. Following with comprehensive detail on MOSFET junction less Silicon based Dual Gate Biosensor with their design parameters for biosensing of neutral and charged analytes with results summarized in table. Drawbacks of dual gate structure introduce cylindrical structures summarized in table with device parameters and respective sensitivity. Role of analytes size in choosing the cavity width and position of analytes influence the sensitivity is recorded. Recent advancement on selectivity, sensitivity and switching results the gate and channel engineering thus compound semiconductor came in picture. In last section challenges with solution and importance of III-V compound channel as scope in biosensor with taking the benefits of fabrication of III-V compound MOSFETs. Semiconductor compound properties are summarized in table for various applications in recent use

ESID: A Visual Analytics Tool to Epidemiological Emergencies

Visual analysis tools can help illustrate the spread of infectious diseases and enable informed decisions on epidemiology and public health issues. To create visualisation tools that are intuitive, easy to use, and effective in communicating information, continued research and development focusing on user-centric and methodological design models is extremely important. As a contribution to this topic, this paper presents the design and development of the visual analytics application ESID (Epidemiological Scenarios for Infectious Diseases). The goal of ESID is to provide a platform for rapid assessment of the most effective interventions for infectious disease control. ESID provides spatial-temporal analysis, forecasting, comparison of simulations, interactive filters, and accessibility options. In its current form, it shows the simulations of a hybrid graph-equation-based model as introduced in for infection control. The model can be stratified for different age groups and takes into account the properties of the infectious disease as well as human mobility and contact behaviour.Comment: 6 pages, 5 images and 1 table, Eurovis workshop on visual analytics (EuroVA) 202