Prosecutors’ Offices: Where Gender Is Irrelevant

International audienceEfficiently exploiting the resources of data centers is a complex task that requires efficient and reliable load balancing and resource allocation algorithms. The former are in charge of assigning jobs to servers upon their arrival in the system, while the latter are responsible for sharing the server resources between their assigned jobs. These algorithms should adapt to various constraints, such as data locality, that restrict the feasible job assignments. In this paper, we propose a token-based algorithm that efficiently balances the load between the servers without requiring any knowledge on the job arrival rates and the server capacities. Assuming a balanced fair sharing of the server resources, we show that the resulting dynamic load balancing is insensitive to the job size distribution. Its performance is compared to that obtained under the best static load balancing and in an ideal system that would constantly optimize the resource utilization. We also make the connection with other token-based algorithms such as Join-Idle-Queue

Health-Care Providers' Preparedness for H1N1/09 Influenza Prevention and Treatment in Dar es Salaam, Tanzania.

\ud In Tanzania, the first case of H1N1/09 influenza was reported in September 2009. By March 2010, the reported number of cases was 770 with one death. Due to shortage of qualified human resources, essential medicines and laboratory supplies in health facilities, it was not known how well health-care providers in the country were prepared to deal with the pandemic. The study was conducted from December 2009 to May 2010 in public hospitals and private community pharmacies in Dar es Salaam, Tanzania. Fifty-three prescribers and 200 dispensers were interviewed to assess their knowledge on the prevention and treatment of H1N1/09 influenza, and dissemination of correct information to the public regarding the pandemic. Most participants had inadequate knowledge on the transmission, prevention and management of H1N1/09 influenza. The majority of prescribers knew neither the antiviral drugs recommended for the treatment of H1N1 influenza (64%) nor their adverse effects (92.5%). The drug dispensers' knowledge was also inadequate regarding the transmission, prevention and treatment of H1N1/09 influenza. Forty-one (20.5%) salespersons without formal training in pharmaceutical or medical sciences were found dispensing and supervising the pharmacies. Most participants had misconceptions on how H1N1/09 virus was transmitted. The results of the study revealed gaps in the knowledge of the health-care providers on the prevention and treatment of H1N1/09 influenza infection. This indicates the need for strengthening of health-care systems and provision of continuing education and professional development for health-care providers on new and re-emerging diseases in the community.\u

Ownership structure and initial public offerings

The authors study the relationship between ownership structure, corporate governance, and the initial public offering (IPO) process. They examine equity ownership by different institutions, such as foreign and domestic financial institutions, banks with and without lending relationships, venture capitalists, and corporations prior to an IPO. The authors also analyze the relationship between ownership structure and corporate governance. They use a unique dataset of 152 Indian IPOs during the period 1999-2001 to analyze ownership of shares by main groups of shareholders. The authors find a relationship between ownership structure and firm-specific factors such as sales, leverage, and profitability, and IPO characteristics such as percentage of equity locked up, gross proceeds, and exchange of listing. There is also a strong relationship between ownership by different types of institutions. Ownership is also tied to bank lending relationships. Finally, the authors find strong relationships between ownership types and corporate governance. For example, firms with foreign investors are more likely to have an outside chief executive officer and offer an employee stock option plan.Economic Theory&Research,International Terrorism&Counterterrorism,Small Scale Enterprise,Financial Intermediation,Payment Systems&Infrastructure,International Terrorism&Counterterrorism,Economic Theory&Research,Financial Intermediation,Financial Crisis Management&Restructuring,Microfinance

On common Fixed Point Theorems in Intuitionistic Fuzzy Metric Spaces

In this paper, we prove some common fixed point theorems for weakly compatible maps in intuitionistic fuzzy metric space. Keywords: Intuitionistic fuzzy metric space, weakly compatible mappings

Scheduling unit processing time arc shutdown jobs to maximize network flow over time: complexity results

We study the problem of scheduling maintenance on arcs of a capacitated network so as to maximize the total flow from a source node to a sink node over a set of time periods. Maintenance on an arc shuts down the arc for the duration of the period in which its maintenance is scheduled, making its capacity zero for that period. A set of arcs is designated to have maintenance during the planning period, which will require each to be shut down for exactly one time period. In general this problem is known to be NP-hard. Here we identify a number of characteristics that are relevant for the complexity of instance classes. In particular, we discuss instances with restrictions on the set of arcs that have maintenance to be scheduled; series parallel networks; capacities that are balanced, in the sense that the total capacity of arcs entering a (non-terminal) node equals the total capacity of arcs leaving the node; and identical capacities on all arcs