Epidemiological patterns of suicide terrorism in the civilian Pakistani population

In this study, we assessed the epidemiological patterns of suicide terrorism in the civilian population of Pakistan. Information about suicide terrorism-related events, deaths and injuries was extracted from the South-Asian Terrorism Portal (SATP) for the period from 2002 to October 2009. Of 198 events, civilians were involved in 194 events. Civilians accounted for 74.1% (N?=?2017) of those who died and 93.8% (N?=?6129) of those who were injured. In nine districts, mortality rates were more than one death per 100,000 inhabitants per year. The yearly trend showed a shift of attack targets from foreigners and sectarian targets in 2002-2005 to security forces or general public in 2006-2009. Attacks on public installations (mosques) or political gatherings resulted in a significantly greater (P?≤?0.02) number of deaths (22 vs. 8) and injuries (59 vs. 24) per event compared with security installations. These results show that prevention might focus on political negotiation with armed groups and that appropriate measures should be taken to protect mosques and political gatherings.     

Corroborating social media echelon in cancer research

Worldwide medical facilities differ, and for this reason, the causes of death can vary. Cancer is considered the second leading cause of death after heart disease worldwide, and the same causes of death are observed in the United States (US). Therefore, the purposes of this study are to explore worldwide research levels in the field of cancer and the social collaboration of researchers and institutions in this field. This article examines the structural patterns of international co-authors and co-institutions in science citation index papers in cancer research. The study uses measures from the social network analysis method, including degree centrality, betweenness centrality, eigenvector centrality, and effectiveness, to investigate the effects of social networks in the area of cancer research. Empirical analysis results identify the US is the most central country, followed by Germany, Italy, France, and China, in terms of co-authored networks in this research field. Institutional analysis results indicate that the University of Milan is at the top in terms of degree centrality. The Gustave Roussy Cancer Campus in France and German University of Düsseldorf occupy the second and fourth positions, respectively. The University of California in Los Angeles and Harvard University, both in the US, are at third and fifth positions, respectively.     

A Roll Call Analysis of the Endangered Species Act Amendments

Public choice economics view legislative process as a transaction in the political market. Interest groups demand regulation in their favor and lobby lawmakers. The lawmakers analyze an assortment of factors and supply legislation to the winning group, thereby maximizing their rent from the political market. This article examines Endangered Species Act (ESA) amendments from a public choice perspective. Congressional voting on the ESA amendments are assessed using a model based on political incentive and ideology. The results show that the lawmakers' voting behavior is correlated with their party affiliation, ideology, and several characteristics of their home state, such as number of endangered species, proportion of urban population, contribution of the natural resources and construction sectors in gross state product, and geographical location.     

Measuring the degree of competition in Pakistan’s banking industry: an empirical analysis

Pakistan’s banking industry has gone through significant transformation from being in a heavily state regulated and controlled environment to a more liberalized market structure in recent years. This liberalization of banking industry in Pakistan has raised concerns over the dominant banks’ exercise of market power on account of increase in market concentration due to mergers and acquisitions, high profitability in banking sector and increasing interest rate spread. Present study therefore explicitly tests the market conduct of banks using quarterly panel data of 30 banks from 2004 to 2012 and employing Panzar–Rosse, Bresnahan–Lau, Hall–Roeger and Boone’s approaches to study market power. Our findings suggest that Pakistan’s banking industry is working in a competitive environment and we find little evidence for the exercise of market power by the dominant banks. Our results remain robust across all these approaches to measure market power. These findings indicate that the liberalization and deregulation of Pakistan’s banking industry has been successful in improving the competitive conditions in the market.     

Recommendation system using feature extraction and pattern recognition in clinical care systems

Medical information systems have been increasingly facilitating and improving the quality of health monitoring, disease-trend modelling and early intervention with evidence-based medical treatment by data mining and feature extraction. Such systems are part of the enterprise information system of the healthcare organisations. We proposed a new algorithm fb-kNN towards recommendation algorithms based on analysis of the patterns of diseases with patterns in human body, which was then implemented in Healthcare 4.0 for the recommendation of diagnosis and treatment. Our developed tool is a complete package solution for the Enterprise Management System (ERP) which shows improvement in healthcare, reducing chronic diseases and mortality rates.     

Analysis of capacity constraints on the backlog bullwhip effect in the two-tier supply chain: a Taguchi approach

This paper investigates the impact of capacity constraints and safety stock on the backlog bullwhip effect in a model of a two-tier supply chain. One of the most commonly applied methodologies to study the various aspects of the Beer Game model is the control theoretic technique. It is clear that these control theoretic models are linear and cannot deal with non-linearities, such as capacity constraints. Thereafter, simulation experiments together with Taguchi design of experiments are performed to study non-linear impacts of capacity constraints in a two-tier supply chain. This research gives supply chain operations’ managers and designers a practical way to develop a trade-off between capacity and safety stock at different echelons and to take better decisions about their capacity and safety stocks. Future work should investigate the total cost implications of capacity constraints and safety stocks in a multi-echelon supply chain.     

An economic order quantity (EOQ) for items with imperfect quality and inspection errors

An approach similar to Salameh and Jaber (2000) has been used in this paper to produce an optimal production/order quantity that takes care of imperfect processes. An imperfect inspection process (Raouf et al., 1983) is utilized to describe the defective proportion of the received lot. That is, the inspector may commit errors while screening. The probability of misclassification errors is assumed to be known. The inspection process would consist of three costs: (a) cost of inspection (b) cost of Type I errors and (c) cost of Type II errors. The defective items, classified by the inspector and the buyer would be salvaged as a single batch that is sold at a lower price. A mathematical model is developed to depict this scenario. Numerical examples are provided to illustrate the solution procedure.