On sequential multiscale inversion and data assimilation

Multiscale approaches are very popular for example for solving partial differential equations and in many applied fields dealing with phenomena which take place on different levels of detail. The broad idea of a multiscale approach is to decompose your problem into different scales or levels and to use these decompositions either for constructing appropriate approximations or to solve smaller problems on each of these levels, leading to increased stability or increased efficiency. The idea of sequential multiscale is to first solve the problem in a large-scale subspace and then successively move to finer scale spaces. Our goal is to analyse the sequential multiscale approach applied to an inversion or state estimation problem. We work in a generic setup given by a Hilbert space environment. We work out the analysis both for an unregularized and a regularized sequential multiscale inversion. In general the sequential multiscale approach is not equivalent to a full solution, but we show that under appropriate assumptions we obtain convergence of an iterative sequential multiscale version of the method. For the regularized case we develop a strategy to appropriately adapt the regularization when an iterative approach is taken. We demonstrate the validity of the iterative sequential multiscale approach by testing the method on an integral equation as it appears for atmospheric temperature retrieval from infrared satellite radiances

Factor XIII deficiency in Pakistan

Patients with undiagnosed haemostatic defects seen at The Aga Khan Hospital and Fatimid Blood Transfusion Centre during the period of 7 years (1 985-1 992) were screened with routine tests including bleeding time (BT), whole blood clotting time (CT), platelet count, activated partial thromboplastin time (APTT), prothrombin time (PT) and 5 molar urea test. Nine patients had a positive 5 molar urea test indicating factor XIII deficiency. Rest of the screening tests were normal in these patients. High incidence of consanguinity was observed in affected families. Clinical features included excessive bleeding from umbilical stump, bruising, post-traumatic bleeding, epistaxis, melaena and intracerebral bleeding. All the patients were treated with fresh frozen plasma and cryoprecipitat

Climate Change and Drought: Impact of Food Insecurity on Gender Based Vulnerability in District Tharparkar

Climate change has now become a reality that has intensified the sufferings of people living in arid ecosystems. Decrease in rainfall, rise in temperature and increase in the frequency of extreme events are some of the changes observed in the semi-arid desert of district Tharparkar. For thousands of years, people of Tharparkar are coping with drought and aridity of the land by using indigenous knowledge. However, global changes in the climatic pattern and deterioration of social and economic conditions have pushed the inhabitants of this arid region into extreme vulnerable situation. This paper investigates the link between climate-induced natural disasters, particularly drought, from the perspective of changing climate patterns which have resulted in food insecurity and water scarcity. The paper analyses the rainfall pattern in the last 38 years—dividing it into two periods i.e. from 1975-1994 and 1995-2014. The findings of the paper have challenged the prevailing notions about aridity and rainfall patterns in Tharparkar district. The research found that there is an increase in average annual precipitation in the district with erratic patterns. Thus, the nature of drought in the district has changed from its historic pattern of less or no rainfall to more but erratic rainfall that is more threatening to livelihoods of the people that in turn have multiplier effect on water and food insecurity. In particularly, women are more vulnerable in the absence of social security and lack of basic necessities for their survival amidst drought. For instance, traditionally the burden of managing water resources falls on women, which leads to an increased work load during the time of drought and also water scarcity. JEL Classification: Q54, Q56, Q25, I30 Keywords: Climate, Environment and Development, Drought, Water, Povert

An automated approach to fix buffer overflows

Buffer overflows are one of the most common software vulnerabilities that occur when more data is inserted into a buffer than it can hold. Various manual and automated techniques for detecting and fixing specific types of buffer overflow vulnerability have been proposed, but the solution to fix Unicode buffer overflow has not been proposed yet. Public security vulnerability repository e.g., Common Weakness Enumeration (CWE) holds useful articles about software security vulnerabilities. Mitigation strategies listed in CWE may be useful for fixing the specified software security vulnerabilities. This research contributes by developing a prototype that automatically fixes different types of buffer overflows by using the strategies suggested in CWE articles and existing research. A static analysis tool has been used to evaluate the performance of the developed prototype tools. The results suggest that the proposed approach can automatically fix buffer overflows without inducing errors

Impact of Green Marketing Mix (4Ps) on Firm Performance: Insights from Industrial Sector Peshawar, Pakistan

Abstract Background & Purpose- After the year 2000, the market for environmentally friendly products become mature and substantially expanded. In the present condition, environmental poverty has appeared as a very scorching issue of concern. The alarming level effects of commercial sector on climate and atmosphere have shaped several life threatening worries. To manage with this, it becomes a great challenge for organizations. The current research work is aim to achieve a better understanding of the corporate sector and their adaptation of green strategies in their production and decisions; associated to firm performance. This is an effort to check the belongings of green marketing strategy (GMS) on firm performance.Methodology- The current work was grounded on quantitative technique to test the framed hypotheses. Survey procedure is used to collect the data. 264 respondent were taken into account by applying method of sample determination and allocation. Purposive sampling technique with “five-point Likert scale†was utilized for data assortment. PCA were utilized to measure the unifactoriality. Structure Equation Modeling were used to check the hypothesized relationship b/w the variables.Findings- Findings of the study suggests that green product (GPD), green price (GPC), green promotion (GPM) and green place are absolutely correlated to firm performance with significant P-value <.05.Originality/Value- The current research study can help industrial sector in identifying best solutions for replacing conventional activities used. Limitation & Future Directions- Research study is restricted only to Peshawar, Khyber Pakhtunkhwa, other areas were not in the domain of interest. It is suggested for the forthcoming research to splay the study background across the country. Larger sample size is also recommended. It can provide more faultless data, though the current population and sample size was enough for the justification of the results

Impact of eLearning Perception and eLearning Advantages on eLearning for Stress Management (Mediating Role of eLearning for Corporate Training)

<p><span style="font-family: Times New Roman;">The objective of the study was to develop a model with and without the mediator comparing direct and indirect Impacts using Bootstrap (Two tailed significance results to be used), options for manufacturing, services sectors and overall and finding out the significance of the relationship. Study tried to find out the Impact of eLearning Perception and eLearning Advantages on eLearning for Stress Management with eLearning for Corporate Training as a mediator. This is a cross sectional study conducted in Pakistan. Detailed questionnaire was used to collect the data. Total sample size of 686 includes 331 from manufacturing sector and 355 from services sector. Study revealed that overall eLearning for corporate training partially mediates relationship between eLearning Perception and elearning for stress management. However, in subgroup of manufacturing sector full mediation is observed. eLearning for corporate training partially mediates relationship between eLearning Advantages and Stress management training. Similar partial mediation is observed for subgroups of manufacturing and services sector. However in subgroup of manufacturing sector no mediation was observed.</span></p

Impact of Perceived Influence, Virtual Interactivity on Consumer Purchase Intentions Through the Path of Brand Image and Brand Expected Value

Many researchers are currently showing interest in researching consumers who are purchasing the products with the help of new tools, and new kinds of markets are emerging rapidly. M-commerce is a prevalent mode of marketing and is famous among young people of Pakistan. Current research is planned to check the status of consumer purchase intentions (PIs) using perceived influence, virtual interactivity, brand image, and brand expected value among customers who purchase their products with the help of m-commerce. Data was collected from customers who were engaged in buying with the help of m-commerce by using the convenience sampling technique and 227 complete questionnaires were used in final analysis. This research examines the direct impact of perceived influence, virtual interactivity, brand image, and brand expected value on PIs and finds the indirect effect of brand image and brand expected value on the relationships of perceived influence and virtual interactivity with PIs. Results indicate that all the hypotheses of direct relationships are accepted except the hypothesis for the relation of virtual interactivity with consumer PIs. Virtual interactivity has an insignificant positive impact on consumer PIs. Brand expected value has a strong positive effect on consumer PIs among all. The current study proposed four mediational hypotheses. All the proposed mediational hypotheses are accepted

Impact of Green Marketing Mix (4Ps) on Firm Performance: Insights from Industrial Sector Peshawar, Pakistan

Abstract Background & Purpose- After the year 2000, the market for environmentally friendly products become mature and substantially expanded. In the present condition, environmental poverty has appeared as a very scorching issue of concern. The alarming level effects of commercial sector on climate and atmosphere have shaped several life threatening worries. To manage with this, it becomes a great challenge for organizations. The current research work is aim to achieve a better understanding of the corporate sector and their adaptation of green strategies in their production and decisions; associated to firm performance. This is an effort to check the belongings of green marketing strategy (GMS) on firm performance.Methodology- The current work was grounded on quantitative technique to test the framed hypotheses. Survey procedure is used to collect the data. 264 respondent were taken into account by applying method of sample determination and allocation. Purposive sampling technique with “five-point Likert scale” was utilized for data assortment. PCA were utilized to measure the unifactoriality. Structure Equation Modeling were used to check the hypothesized relationship b/w the variables.Findings- Findings of the study suggests that green product (GPD), green price (GPC), green promotion (GPM) and green place are absolutely correlated to firm performance with significant P-value <.05.Originality/Value- The current research study can help industrial sector in identifying best solutions for replacing conventional activities used. Limitation & Future Directions- Research study is restricted only to Peshawar, Khyber Pakhtunkhwa, other areas were not in the domain of interest. It is suggested for the forthcoming research to splay the study background across the country. Larger sample size is also recommended. It can provide more faultless data, though the current population and sample size was enough for the justification of the results

How Companies Value Stock Prices After Going Public: Evidence from Emerging Pakistan economy

The purpose of this study is to estimate the accuracy and authenticity of valuation methods used by underwriters to set preliminary offer price. This study uses complete universe of all newly listed companies during 2000 to 2015 on Pakistan Stock Exchange. We analyzed the determinants of the Initial Public Offering (IPOs) by comparing the ex-ante and ex-post characteristics of IPOs firms. Binary logistic model was used for evaluation of variables. Results revealed that underwriters use four different valuation methods to set IPO preliminary offer price namely as dividend discount model (DDM), discounted cash flow method (DCF), peer groups multiple (MULT) and economic valuation method (EVA). This study used Binary Logistic Regression model to estimate the accuracy and authenticity of these valuation methods. Results of this study can help the portfolio managers for constructing their effective portfolio strategies. This study also helps to highly levered firms to get cheaper long term capital by going public. This study is also important for underwriters to counter check their valuation patterns for IPO firms

How Companies Value Stock Prices After Going Public: Evidence from Emerging Pakistan economy

The purpose of this study is to estimate the accuracy and authenticity of valuation methods used by underwriters to set preliminary offer price. This study uses complete universe of all newly listed companies during 2000 to 2015 on Pakistan Stock Exchange. We analyzed the determinants of the Initial Public Offering (IPOs) by comparing the ex-ante and ex-post characteristics of IPOs firms. Binary logistic model was used for evaluation of variables. Results revealed that underwriters use four different valuation methods to set IPO preliminary offer price namely as dividend discount model (DDM), discounted cash flow method (DCF), peer groups multiple (MULT) and economic valuation method (EVA). This study used Binary Logistic Regression model to estimate the accuracy and authenticity of these valuation methods. Results of this study can help the portfolio managers for constructing their effective portfolio strategies. This study also helps to highly levered firms to get cheaper long term capital by going public. This study is also important for underwriters to counter check their valuation patterns for IPO firms