The Pareto Principle

The Pareto Principle (also known as the 80-20 rule) states that for many phenomena, about 80% of the consequences are produced by 20% of the causes. In this article we discuss the Pareto Principle and its importance in real life problems, describe some mathematical model related to it and also address the concept of the Lorenz curve and Gini coefficient. We tested two sets of real life data to see if the Pareto principle applies to these aspects. For the Forbes list in 2012, we found that 20% of the richest people own 56.72% of the money. For the world Gross Domestic Product (GDP) in 2011, 20% of the richest countries in the world have 91.62% of the total amount of money

Standardization of recipe for preparation of guava jelly bar

ABSTRACT Firm ripe guava fruits o

FPGA based Security Login System using GSM with OTP Generation

Security of system is major concern in this age of high-tech infrastructure. In today\u27s materialistic world, security holds an in dispensable place. Security in every aspect is highly desirable may be at home or at office etc. as thefts and robberies are increasing day by day. To overcome this security threat, a security system has been proposed using GSM technology, by generating One Time Password and implementing in FPGA. As FPGAs offer all of the features needed to implement most complex designs. This security system activates, authenticates and validates the user and then unlocks the system. This project attempts to create security login systemwhere the user is granted access if he enters the correct predefined password and is denied access if he enter the wrong password. When password is entered GSM gets activated and send SMS to user\u27s mobile phone, after authentication random OTP is generated and should be verified such that the system gets accessed. In every 3 minutes this OTP verification code will change and is valid for 3 minutes. The outcome of each and all would be available in the LCD of the Spartan 3E board. VHDL codes are used to design this system using Xilinx ISE 9.2i

Analysis of microsatellite polymorphisms in south Indian patients with non syndromic cleft lip and palate

Non Syndromic Cleft Lip and/or Palate (NSCLP) is a complex congenital anomaly with varying incidence among patients of different geographical origins. Multiple contributing factors are known to trigger the cleft formation. There are several genes involved in the aetiology of NSCLP and they are different in different populations. The genetic components of clefts that underlie the susceptibility to respond to the environment still remain unclear. In this study, five microsatellite polymorphisms from five candidate genes were employed to analyze the association between these genes and NSCLP in 83 patients and 90 controls. Genotyping was performed by separating and visualizing the fluorescently-labeled Polymerase Chain Reaction (PCR) products. The association of the five microsatellite polymorphisms with NSCLP was tested by using the CLUMP v1.9 program that uses the Monte Carlo method. The genotypic distribution is in Hardy-Weinberg equilibrium in the control group for only the MSX1 and DLX3 genes. The RARA microsatellite was significantly associated with NSCLP. Our results suggest that the RARA gene is involved in pathogenesis of cleft lip and palate in south Indians

Modelling challenges for incremental bulk processes despite advances in simulation technology : example issues and approaches

Incremental bulk deformation processes have traditionally been difficult to simulate. This paper will argue that, despite advances in computation and software, they remain difficult to model. The main reason for this is the shortage of ideas on what is the real objective of FE modelling for such processes. Even a very detailed model and data obtained in simulation does not give answers to the main question - how to optimise the process parameters? High computational time and volume of information only aggravate the situation. All modern mathematical techniques of dimensionality reduction (such as POD/PGD) lose their power when the priorities and acceptable compromises of modelling are not clear. This paper tries to use a large volume of available experimental and modelling experience to illustrate this problem and look for possible break-through directions

Correction to: Health facility preparedness of maternal and neonatal health services: a survey in Jumla, Nepal.

Abstract Background Over the past 20 years, Nepal has seen major improvements in childhood and maternal survival. In 2015, the Nepalese government introduced a new federal political structure. It is unclear how this has affected the health system, and particularly, maternal and child health care. Hence, this study aims to describe and analyse health facility preparedness in the light of the federalization process with regards to providing appropriate and timely maternal and neonatal health services. Methods A descriptive cross-sectional study was conducted in Jumla district, Nepal in 2019 covering all 31 state health facilities (HF) to assess the availability of maternal and neonatal health services including appropriate workforce and access to essential medicines. Tests of association between demographic factors and the probability of a facility experiencing a shortage of essential medicine within the last 3 months were also conducted as exploratory procedures. Results Out ot 31 HFs, more than 90% of them had all their staff positions filled. Most facilities (n = 21) had experienced shortages of essential medicines within the past 3 months. The most common out of stock medicine were: Amoxicillin (n = 10); paracetamol (n = 10); Vitamin A (n = 7); and Metronidazole (n = 5). Twenty-two HFs had referred maternal and newborn cases to a higher centre within the past 12 months. However, more worryingly, twenty HFs or their catchment communities did not have emergency ambulance transport for women and newborns. Conclusion HFs reported better staffing levels than levels of available drugs. HFs should be supported to meet required minimal standards such as availability of essential medicines and the provision of emergency ambulance transport for women and newborns

Determinants of smoking initiation among women in five European countries: a cross-sectional survey

<p>Abstract</p> <p>Background</p> <p>The rate of smoking and lung cancer among women is rising in Europe. The primary aim of this study was to determine why women begin smoking in five different European countries at different stages of the tobacco epidemic and to determine if smoking is associated with certain characteristics and/or beliefs about smoking.</p> <p>Methods</p> <p>A cross-sectional telephone survey on knowledge and beliefs about tobacco was conducted as part of the Women in Europe Against Lung Cancer and Smoking (WELAS) Project. A total of 5 000 adult women from France, Ireland, Italy, Czech Republic, and Sweden were interviewed, with 1 000 from each participating country. All participants were asked questions about demographics, knowledge and beliefs about smoking, and their tobacco use background. Current and former smokers also were asked questions about smoking initiation. Basic statistics on the cross-sectional data was reported with chi-squared and ANOVA p-values. Logistic regression was used to analyze ever versus never smokers. Linear regression analyses were used to analyze age of smoking initiation.</p> <p>Results</p> <p>Being older, being divorced, having friends/family who smoke, and having parents who smoke were all significantly associated with ever smoking, though the strength of the associations varied by country. The most frequently reported reason for initiation smoking was friend smoking, with 62.3% of ever smokers reporting friends as one of the reasons why they began smoking. Mean age of smoking initiation was 18.2 years and over 80% of participants started smoking by the age of 20. The highest levels of young initiators were in Sweden with 29.3% of women initiating smoking at age 14-15 and 12.0% initiating smoking younger than age 14. The lowest level of young initiators was in the Czech Republic with 13.7% of women initiating smoking at age 14-15 and 1.4% of women initiating smoking younger than age 14. Women who started smoking because their friends smoked or to look 'cool' were more likely to start smoking at a younger age. Women who started smoking to manage stress or to feel less depressed were more likely to start smoking at an older age.</p> <p>Conclusions</p> <p>In all five participating countries, friends were the primary factor influencing ever smoking, especially among younger women. The majority of participants began smoking in adolescence and the average reported age of smoking initiation was youngest in Sweden and oldest in the Czech Republic.</p

The Transporter Classification Database: recent advances

The Transporter Classification Database (TCDB), freely accessible at http://www.tcdb.org, is a relational database containing sequence, structural, functional and evolutionary information about transport systems from a variety of living organisms, based on the International Union of Biochemistry and Molecular Biology-approved transporter classification (TC) system. It is a curated repository for factual information compiled largely from published references. It uses a functional/phylogenetic system of classification, and currently encompasses about 5000 representative transporters and putative transporters in more than 500 families. We here describe novel software designed to support and extend the usefulness of TCDB. Our recent efforts render it more user friendly, incorporate machine learning to input novel data in a semiautomatic fashion, and allow analyses that are more accurate and less time consuming. The availability of these tools has resulted in recognition of distant phylogenetic relationships and tremendous expansion of the information available to TCDB users