Detection of Damage of Rotor-bearing Systems Using Experimental Data Analysis

AbstractRolling element bearings are critical components and widely used in many rotating machines such as automobiles, aerospace, weaving, machine tools that frequently fail. The vibration of the bearing-rotor influences the security, performance of the rotating machines and working life of the whole plant. In the present research work, a mathematical model of the vibration amplitude of the bearing is established through experimental data based analysis (EDBA). A new mathematical model technique for rotor-bearing systems is established. Furthermore, a model analysis on bearing system is carried out by using EDBA, the defect frequencies and vibration amplitude responses of the rotor-bearing system are obtained, and experimental result has been validated. The Neural Network (NN) is tested to verify the validation of the new EDBA. The method proposed in this paper for vibration characteristics calculation of a rotor-bearing is credible and save time and costs by timely detection of eminent bearing failur

Election forensics: Using machine learning and synthetic data for possible election anomaly detection

Assuring election integrity is essential for the legitimacy of elected representative democratic government. Until recently, other than in-person election observation, there have been few quantitative methods for determining the integrity of a democratic election. Here we present a machine learning methodology for identifying polling places at risk of election fraud and estimating the extent of potential electoral manipulation, using synthetic training data. We apply this methodology to mesa-level data from Argentina’s 2015 national elections

Election forensics: Using machine learning and synthetic data for possible election anomaly detection

Assuring election integrity is essential for the legitimacy of elected representative democratic government. Until recently, other than in-person election observation, there have been few quantitative methods for determining the integrity of a democratic election. Here we present a machine learning methodology for identifying polling places at risk of election fraud and estimating the extent of potential electoral manipulation, using synthetic training data. We apply this methodology to mesa-level data from Argentina’s 2015 national elections

A Clinical Study of Jalaukavacharana in Varicose Eczema (Vicharchika)

In adolescents varicose eczema is a common skin condition encountered by general practitioners and dermatologists in day today clinical practices. Varicose eczema is the condition usually present secondary to varicosity of superficial veins. For this condition there is no successful surgery as well as medical remedy available for the complete cure. However in Ayurveda, Jalaukavacharana (Leech therapy) as a parasurgical method is useful in this condition. Leech is used for the bloodletting at that particular site. With this background a study has been conducted to compare the effect of Jalaukavacharana without and with internal medications, Two groups were done as Group-A and Group-B, each with 15 patients. Jalaukavacharana was done at eczema in Group-A for four time with an interval of seven days that is, on day 1, day 7, day 14 and day 21 with internal medication. In Group B only internal medication is given. The pre and post therapeutic subjective and objective criteria were recorded. All data were analyzed clinically as well as statistically. In both Group-A and Group-B. Jalaukavacharana has shown good result in reducing the symptoms of varicose eczema (Vicharchika)

Recent Trends, Opportunities and Challenges in 3D Printing Technology for Personalize Medicine

The scrutiny of medical devices industry as well as pharmaceutical industry for its application in health care industry on different platform is captured the 3D printing technique.  3D printing technology withstand for a very long duration only because of the approval of medical devices, 3D printed tablets and also with the advent of USFDA guideline on technical consideration. This technology is specific to devices utilizing preservative manufacturing. Many thoughts are triggered by 3D printing this technology and for successful delivery of intended product which is necessarily take into a consideration. In this review paper expectation limitations of some regulatory companies, Advantages, disadvantages, what type problems are arises while establishing this setups for drug product production, method, application, and manufacturing risk are represented. It also gives information about the current status of 3D printing technology in research and development of drug products.  For the fabrication of novel solid dosage form a number of 3D printing technology have been developed. This review is mainly focused on describing different technology used for the application of 3D printing in pharmaceutical industry.  Keywords: - 3D printing technology, recent trend, Opportunities, personalize medicine, challenges, future

Epigenetics: Pharmacology and Modification Mechanisms Involved in Cardiac, Hepatic and Renal Disease

For a long time scientists have tried to describe disorders are due to genetic as well as environmental factors. In the past few years, revolution in technology that has made it possible to decipher the human genome. Epigenetics explains the capability gene expression regulation without modifying the genetic sequence. Epigenetic mechanisms are rooted changes in molecules, or nuclear characteristics that can alter gene expression without altering the sequences of DNA, i.e. DNA methylation, histone modification, and non-coding RNAs. Learning of the fundamental epigenetic modification allowing gene expression as well as cellular phenotype are advanced that novel insights into the epigenetic control of cardiovascular disease, hepatic disease, as well as chronic kidney disease are now emerging. From a half of century ago, in human disease the role of epigenetics has been considered. This subject has attracted many interests in the past decade, especially in complicated diseases like cardiovascular disease, hepatic disease as well as chronic kidney disease. This review first illustrates the history and classification of epigenetic modifications and the factors (i.e. genetic, environment, dietary, thought process and lifestyle) affecting to the epigenetics mechanisms. Likewise, the epigenetics role in human diseases is think out by targeting on some diseases and at the end, we have given the future perspective of this field. This review article provides concepts with some examples to describe a broad view of distinct aspects of epigenetics in biology and human diseases. Keywords: - Epigenetics, DNA methylation, Histone modifications, microRNAs and Gene expression and Disease

A Review on Life Cycle Management Approach on Asset Qualification

All equipment’s used in the production of products shall be properly Validated, Qualified and Calibrated to demonstrate that it is suitable for its intended purpose. Qualification is an important aspect of the pharmaceutical quality system. When the equipment is properly qualified, verified and maintained, there is the possibility of Consistent performance of the equipment. A well designed qualification program saves valuable time and cost. Qualification is called a cyclic process because it is a never ending process. Appropriate documentation of the qualification program is very important as lack of the documented evidence does not give any meaning to qualification (Not documented it means not done).  The current programs and procedures of equipment qualification used within any pharmaceutical and bioscience industry are based on ‘regulatory requirements’, ‘voluntary standards’, ‘vendor practices’, and ‘industry practices’. The output is considerable variation in the way any pharmaceutical and biotechnological companies approach for the laboratory equipment. The lifecycle management approach of equipment qualification covers entire life cycle for the specification, design, manufacturing, installation, commissioning, qualification (4Qs Model DQ, IQ, OQ, PQ), operation & maintenance of equipment in a risk based life cycle management approach. The goal of any regulated pharmaceutical and bioscience company is to provide reliable and valid data suitable for its intended purpose. Main goal of equipment qualification is to form the basis for written procedures for production and process control which are designed to assure that the drug products have the SISPQ (Safety, Identity, Strength, Purity and Quality) Keywords: Validation, Calibration, Life cycle management approach, Qualification (4Qs Model- DQ, IQ, OQ & PQ), SISPQ (Safety, Identity, Strength, Purity and Quality