Single dose surfactant early rescue therapy in respiratory distress syndrome-experience and outcome at a tertiary care centre

Background: Neonatal respiratory distress syndrome (RDS) is a progressive respiratory failure that is caused primarily by a deficiency of pulmonary surfactants (PS). We undertook a prospective study to evaluate outcomes of neonatal respiratory distress syndrome (RDS) patients treated with early rescue pulmonary surfactant.Methods: This was a prospective cross sectional study conducted at level III NICU. A total of 47 eligible  patients out of 142 diagnosed RDS on chest x-ray or FiO2 ≥40 was needed to reach SpO2 between 85 and 93%  received early recue surfactant therapy (within 2hrs of life) and  maternal ,neonatal and clinical data was analysed using SPSS software.Results: In this study prevalence of RDS amongst neonates admitted in NICU was 16.4%, early rescue surfactant therapy could be given only to 47 cases. There was male predominance (2.62:1). Mean age of administration of surfactant was 1.30±0.8 hr and Antenatal steroid was given in only 21.3% of mothers. Fraction of inspired oxygen concentration (Fio2) requirement also significantly decreases before and after therapy (p value˂0.0001) at 6,12, and 24 hrs. PEEP also shows decreasing trend at 24 hrs (p value ˂0.05). Sepsis was the commonest complication leading to mortality.Conclusion: Implementation of early rescue administration of surfactant in infants at high risk for developing RDS in neonatal ICU is a safe and effective modality of respiratory support which decreases ventilatory requirements, improves respiratory status, and causes early extubation.

Falls from flat roofed house in and around the city of Rewa, Madhya Pradesh: a study from central India

Background: High falls from flat-roofed houses are a common cause of death and disability in this part of central India; the aim of this study was to describe the experience of such falls seen over a 2-year period.Methods: In this cross sectional study one hundred and twenty two patients (96 male and 26 female) who fell from flat roofed houses were entered and analysed.Results: The Prevalence of fall from flat roofed house was 60.3% (122/202). The mean age of the whole group of patients was 16 years (range 1-75 years); majority of cases were of 11-30year age group (54.1%). Males, adolescent and rural population showed a greater tendency to fall from height. The mean height of these accidental falls was 3.65±2:6 m. Head injury was the most common injury and most common cause of mortality and morbidity in these patients.Conclusions: Death due to fall from height is an unforeseen and unfortunate occurrence. Cranio-cerebral trauma is the most common injury in fatal falls from flat roofs. Parental control, guidance and construction of parapet on roof tops can reduce this economic burden and protect vulnerable groups of people of our country from this type of incidents

Ethnobotanical Observation on Tuberous Plants from Tribal Area of Rajasthan (India)

The present paper gives an account of 42 tuberous plants of Ethnobotanical interest from Aravalli hills of Rajasthan. Main tribes inhabiting the study area are Bhil, Meena, Garasia, Damor and Kathodi. These tribes use the tuberous plants for various purposes in their daily life. Health, vitality and longevity enjoyed by the tribals have been attributed by them to these wild tuberous plants. On account of environmental changes and lack of insight of conservation of tuberous plants, many of them have become rare, threatened and endangered. If proper attention is not given, extinction of these plant species is certain and this is beyond doubt. Therefore identification and utility of these tuberous plants and compilation of a database on local information held by the tribes is stressed. Ethnobotanical information about tuberous plants is given by mentioning their botanical name, family, local name, time of flowering and fruiting, ecology and uses

Spatial Analysis of Health Amenities in TSP Area of Rajasthan

ABSTRACTHealth amenities are key component of economic development. Healthy people can contribute significantly to the development and prosperity of a nation. Economic and human development in any country and any society are prerequisites for a better quality of human life. Health is the basic and primary need of people it is also a major resource for social, economic and personal development. It prepares a background for any nation to progress in socio-economic, scientific, health and other spheres. Therefore, it should not be viewed in isolation from other goals of development. The development of any region depends upon social and economic development, but such a development can't take place without simultaneous development of amenities. Health amenities development in Tribal Areas is the base of economic development of the any region. The progress of any country or society greatly depends on the quality of life of its people. Generally an amenity defines as "a set of facilities through which goods and services are provided to the public, which shows the quality of life of people in a region."  Regional disparity is worldwide problem today, especially in the developing countries. Health development means overall status of health in terms of access, infrastructure and outcomes. This study considered Eleven (11) indicators for health amenities Health Development index (HDI) has been derived by using Standard Score. Levels of health development at amenities have been calculated followed by determination of composite health development index. The study concluded category in comparison to tehsil of TSP area of Rajasthan. So present study made an attempt to examine the spatial analysis in health amenities development in twenty four tehsils of TSP area of Rajasthan. In the analysis, it has been observed that some tehsils are found to be stagnant; others are either moving forward or going backward in the region. The result shows that apart from existence of wide disparity there are sufficient proof to say that there are tehsil that have done poorly placed in terms of health amenities. The paper offers some suggestions to reduce the glaring variations.Â

Implementing collaboration moderator service to support various phases of virtual organisations

Research into moderators, which support collaborative teams by proactively making team members aware of actions or potential problems which may affect them, began in the 1990s, in the context of supporting collaborations during concurrent engineering projects. This paper provides a background to the evolution of moderators and explores their role in supporting virtual organisations. A collaboration moderator (CM) is an evolution of earlier moderators and is capable of behaving differently for different types of users and therefore caters for the varying requirements of individual users depending on the roles they have in the collaborations. This paper describes the architecture and components of a CM from an implementation perspective. Prototype CMs have been developed during the EU-funded SYNERGY project, and two use cases for which the prototype CMs were implemented as a service (a Pre-Creation use case and an Operational use case) are also discussed in this paper

FORECASTING THE TIME DELAY IN DELIVERY OF PHARMACEUTICAL PRODUCTS

Supply chain management system is a centralized system which controls and plans the activities involved from production to delivery of a product. Disruption in treatment and loss of life occurs due to delay in delivery of pharmaceutical products. The objective is to do a model using Machine learning algorithms to determine: Classification to predict which product will be delayed and Regression shows how much time it will be delayed exactly. This study will use publicly available supply chain data which helps to identify primary aspect of predicting whether HIV drugs are delivered in time or not. It will then use these factors to predict how long delays are likely to be, thus allowing HIV/Supply Chain program managers to know details of the products which are going to be delayed and quantify the exact delay. and how much it will be delayed. so that they can take mitigating action to save lives and avoid additional supply chain costs. We will use Machine learning prediction model to predict which product will be delayed and regression model shows how much time it will be delayed exactly

Fortune of smart-phones by A model recommendation

In recent market, there are several cell phones available, Smart phones differ based on their Operating system. Here we are going to do a comparison between two Operating systems i.e., “IOS and ANDROID”. The comparison starts including the basic features of smart phones. The features are varying from each other. Some of them are categorical and some are numerical. According to these data, classify the smart phones using machine learning classification model. After the classification we are going to analyse which operating system-based Smartphone will be taken for further classification. A “Recommendation system”, will be designed which recommend a better smart phone to the customer. In market a lot of smart phones are available, which are of different companies but with same cost. From classification model we will find which set is more affordable with good combination of features. Further Recommendation model will help us to find which model will be the best model according to the customer requirement and budget. On the basis of customer requirement that is what are the features and price of the phone our model is going to predict which model will be more suitable and gives the solution in a form of recommendation. It will give us the exact phone, which is having all the features and also pocket friendly

How to Improve Food Security and Farming Systems by Using Wireless Sensor Networks (WSN)

According to a survey approximate 925 million people do not have enough food to eat. So it is a challenge to secure food as well as produce enough to fulfil all needs. A person can live without other necessities but cannot live without food. The food security refers to the ability of food systems to ensure that everyone has enough food to live a healthy life.  A household is considered food-secure when its occupants do not live in hunger or fear of starvation. There are many reasons behind this, due to poor farming system, export restrictions, panic buying, increased farming for use in bio-fuels, global population growth, climate change, loss of agricultural land to residential and industrial development, and growing consumer demand in largest populated country such as China and India are claimed to have pushed up the price of grain. Some other factors which also cause food shortage, the agricultural productivity; soil health, water security, and food quality in storage and distribution are identified as the primary determinants of food security. So in this paper we have discussed how to secure food and enhance farming system by using Wireless Sensors Networks (WSN). Keywords: WSN, Food Security, Developing Countries, Agriculture, Farming System, Management, IC

A random search approach to the machine loading problem of an FMS

This paper discusses a modelling framework that addresses operational planning, problems of flexible manufacturing systems (FMSs). A generic 0-1 mixed integer programming formulation integrating the part selection and loading problems has been proposed. The constraints considered in the problems are mainly the availability of tool slots and machining time on the machining centres. The above problem is solved using an algorithm based on Simulated Annealing (SA). The potential capability of the approach is demonstrated via a small set of test problems. ©2004 IEEE.published_or_final_versio