Extending the Stochastic Approach to Paasches Price Index Numbers

In recent times, the stochastic approach has received enormous attention to estimate the rate of inflation. The attraction of this approach is to provide not only the estimate of inflation rate, but also its standard error. In this paper, we extend the stochastic approach to derive the Paasches price index number and its standard error. We present an illustration to Laspeyres index number using consumer price data of Pakistan covering the period from July 2002 to June 201

Exploring the Usage of Information Technology for Library Automation

Abstract The basic objective of this research study is to provide a detailed perspective of the current scenario of public libraries workings and procedures in Karachi (Pakistan) and propose automation with an implementation strategy. The study elaborates on the needs of automated library management system components ideally packaging into an ALMS. Differences between the available library management system(s) and proposed ALMS have been highlighted as well. This study recommends the development as well as implementation architectures, development technologies required human resources, and Infrastructure (i.e. servers, client machines, etc.) for ALMS as a preferred system for public libraries in Karachi. In this study, we have proposed a new model for public libraries that refocuses them on the vital task of knowledge management coherent within their communities by way of forming a hub for sharing and disseminating pertinent knowledge. A multi-layered architecture has been proposed for managing information on both local and global levels by creating a connection among multiple instances of the system via the internet. Statistical data collected by surveying thirty public libraries all over Karachi played a pivotal role in the proposed system design. Different aspects of the system have been identified, quantified and grouped into robust and flexible modules to facilitate the common interactions with the application. The system incorporates modules as pluggable and/or reusable components using the MVC design pattern to ease the process of adding, modifying, and/or deleting modules without affecting the integrity of the system. The system features an extremely fast NoSQL database for local storage for real-time and offline search (while the internet is down). All local databases are combined to form a global database to facilitate the passive users (book readers) of the system. The system also defines four different user-views to provide multi-level access of either the local or global database to its users. Since the horizon of technology is very fragmented, the system is designed to be extremely portable by using Electron framework which enables the application to cover all major platforms Windows, Linux, and Macintosh which are most widely used Operating systems by Institutions

Survival Analysis of Tumor using 7 Tesla MRI

Magnetic resonance imaging (MRI7) is a very powerful imaging technique for the assessment of stroke aetiology (Condition) and brain imaging. Another class of MRI is ultrahigh frequency based MRI using 7 Tesla is now developed by seamen’s for better imaging in humans. This study examines these MRI. Thisarticle highlights an alternative approach, denoted “interval monitoring,” whose aims is related with more timely detection of tumor cancer changes. The conceptual background and the computational realization of the proposed method are outlined, and its application is illustrated by an empirical example from the image-based photo science, cancer registry of America. Monitoring of cancer patient survival is the first step of its cure so across the globe practice routinely employed by many cancer registries, which is an essential component for its cure. However, changes in prognosis over time are disclosed withconsiderable delay, with traditional methods of monitoring cumulative survival. Our study took sequence of MRI images, GMPLS function locate the cancer after filtering and skeletonization. This study saves time and difference for calculation of cancer equation. This study uses statistical technique to get the desired matrix, further its inverse provides us real time mathematical equation which is unique for each patient. Further survivor analysis is employed to achieve the break or death of subject. The Aim of this research is to provide unique mathematical model of a cancer patient, provides real time graph aboutcancer health and survivor function depicts the death of subject respectively

Exploring the Usage of Information Technology for Library Automation

Abstract The basic objective of this research study is to provide a detailed perspective of the current scenario of public libraries workings and procedures in Karachi (Pakistan) and propose automation with an implementation strategy. The study elaborates on the needs of automated library management system components ideally packaging into an ALMS. Differences between the available library management system(s) and proposed ALMS have been highlighted as well. This study recommends the development as well as implementation architectures, development technologies required human resources, and Infrastructure (i.e. servers, client machines, etc.) for ALMS as a preferred system for public libraries in Karachi. In this study, we have proposed a new model for public libraries that refocuses them on the vital task of knowledge management coherent within their communities by way of forming a hub for sharing and disseminating pertinent knowledge. A multi-layered architecture has been proposed for managing information on both local and global levels by creating a connection among multiple instances of the system via the internet. Statistical data collected by surveying thirty public libraries all over Karachi played a pivotal role in the proposed system design. Different aspects of the system have been identified, quantified and grouped into robust and flexible modules to facilitate the common interactions with the application. The system incorporates modules as pluggable and/or reusable components using the MVC design pattern to ease the process of adding, modifying, and/or deleting modules without affecting the integrity of the system. The system features an extremely fast NoSQL database for local storage for real-time and offline search (while the internet is down). All local databases are combined to form a global database to facilitate the passive users (book readers) of the system. The system also defines four different user-views to provide multi-level access of either the local or global database to its users. Since the horizon of technology is very fragmented, the system is designed to be extremely portable by using Electron framework which enables the application to cover all major platforms Windows, Linux, and Macintosh which are most widely used Operating systems by Institutions

Modeling the Impact of High Temperature on Mortality in Pakistan

The objective of this paper is to model and study the impact of high temperature on mortality in Pakistan. For this purpose, we have used mortality and climate data consisting of maximum temperature, variation in monthly temperature, average rainfall, humidity, dewpoint, as well as average air pressure in the country over the period from 2000 to 2019. We have used the Generalized Linear Model with Quasi-Poisson link function to model the number of deaths in the country and to assess the impact of maximum temperature on mortality. We have found that the maximum temperature in the country has a significant impact on mortality. The number of deaths in Pakistan increases as the maximum temperature increases. We found that, as the maximum temperature increase beyond 30 °C, mortality increases significantly. Our results indicate that mortality increases by 27% when the maximum temperature in the country increases from medium category to a very high level. Similarly, the number of deaths in the country increases by 11% when the temperature increases from medium temperature to high level. Furthermore, our study found that when the maximum temperature in the country decreases from a medium level to a low level, the number of deaths in the country decreases by 23%. This study does not consider the impact of other factors on mortality, such as age, medical conditions, gender, geographical location, as well as variability of temperature across the country

Modeling the Impact of High Temperature on Mortality in Pakistan

The objective of this paper is to model and study the impact of high temperature on mortality in Pakistan. For this purpose, we have used mortality and climate data consisting of maximum temperature, variation in monthly temperature, average rainfall, humidity, dewpoint, as well as average air pressure in the country over the period from 2000 to 2019. We have used the Generalized Linear Model with Quasi-Poisson link function to model the number of deaths in the country and to assess the impact of maximum temperature on mortality. We have found that the maximum temperature in the country has a significant impact on mortality. The number of deaths in Pakistan increases as the maximum temperature increases. We found that, as the maximum temperature increase beyond 30 °C, mortality increases significantly. Our results indicate that mortality increases by 27% when the maximum temperature in the country increases from medium category to a very high level. Similarly, the number of deaths in the country increases by 11% when the temperature increases from medium temperature to high level. Furthermore, our study found that when the maximum temperature in the country decreases from a medium level to a low level, the number of deaths in the country decreases by 23%. This study does not consider the impact of other factors on mortality, such as age, medical conditions, gender, geographical location, as well as variability of temperature across the country

Cleansing of inconsistent sample in linear regression model based on rough sets theory

The linear regression model is one of the most common and easiest algorithms used in machine learning for predictive analysis purposes. However, this model performs well under strict assumptions such as the number of observations, the linearity of variables, multicollinearity, homoskedasticity, reliability of measurement, and normality. Besides, there is no consideration to date for handling and cleansing inconsistent samples in the data sets. These samples may significantly influence the performance of multiple linear regression in terms of these assumptions and several aspects, such as adjusted R-square, intercept-slopes, exogenous variables, and the accuracy of prediction. In this paper, the data reduction strategy of rough sets was employed to remove and clean these types of samples, boosting the performance of the linear regression models. This strategy was evaluated by examining three different effects; adjusted R-square, slopes-intercepts, and mean square error of the regression model. Simulated data and simple modeling problems were used to determine the effects of these three aspects. The secondary data sets were collected from various domains to examine the proposed rough-regression model. The simulation results showed that the data reduction strategy is exceedingly effective to boost the performance of the multiple linear regression in the three aspects above. In the implementation, these aspects also performed better than before data reduction. The results from both simulations and implementations demonstrate that the data reduction of rough sets is a viable strategy in cleansing of the inconsistent samples in the linear regression models. Thus, the proposed rough regression model is effectively proven to support the data analysis of surveys or cross-sectional studies, especially when the stated aspects are not well fulfilled. Therefore, the surveys are not needed to be repeated and reconsidered by researchers