Qualitative characterization of healthcare wastes

The biological hazard inherent in the clinical wastes should be considered during the management and treatment process as well as the disposal into the environment. In this chapter, the risks associated with the clinical wastes as well as the management of these wastes are discussed. The chapter focused on reviewing the types of healthcare wastes generated from hospitals and clinics as well as the regulations and management practices used for these wastes. Moreover, the health risk associated with the infectious agents which have the potential to be transmitted into the environment. It has appeared that the clinical wastes represent real hazards for the human health and the environment if they were not managed properly

Molecular Typing of Australian Scedosporium Isolates Showing Genetic Variability and Numerous S. aurantiacum

Molecular typing showed genetic diversity, dismissed 2 suspected outbreaks of scedosporiosis, and identified multiple strains of the newly described species S. aurantiacum

Solving the Multidimensional Knapsack Problem Using an Evolutionary Algorithm Hybridized with Branch and Bound

Abstract. A hybridization of an evolutionary algorithm (EA) with the branch and bound method (B&B) is presented in this paper. Both tech-niques cooperate by exchanging information, namely lower bounds in the case of the EA, and partial promising solutions in the case of the B&B. The multidimensional knapsack problem has been chosen as a bench-mark. To be precise, the algorithms have been tested on large problems instances from the OR-library. As it will be shown, the hybrid approach can provide high quality results, better than those obtained by the EA and the B&B on their own.

Identification of gene targets against dormant phase Mycobacterium tuberculosis infections

<p>Abstract</p> <p>Background</p> <p><it>Mycobacterium tuberculosis</it>, the causative agent of tuberculosis (TB), infects approximately 2 billion people worldwide and is the leading cause of mortality due to infectious disease. Current TB therapy involves a regimen of four antibiotics taken over a six month period. Patient compliance, cost of drugs and increasing incidence of drug resistant <it>M. tuberculosis </it>strains have added urgency to the development of novel TB therapies. Eradication of TB is affected by the ability of the bacterium to survive up to decades in a dormant state primarily in hypoxic granulomas in the lung and to cause recurrent infections.</p> <p>Methods</p> <p>The availability of <it>M. tuberculosis </it>genome-wide DNA microarrays has lead to the publication of several gene expression studies under simulated dormancy conditions. However, no single model best replicates the conditions of human pathogenicity. In order to identify novel TB drug targets, we performed a meta-analysis of multiple published datasets from gene expression DNA microarray experiments that modeled infection leading to and including the dormant state, along with data from genome-wide insertional mutagenesis that examined gene essentiality.</p> <p>Results</p> <p>Based on the analysis of these data sets following normalization, several genome wide trends were identified and used to guide the selection of targets for therapeutic development. The trends included the significant up-regulation of genes controlled by <it>devR</it>, down-regulation of protein and ATP synthesis, and the adaptation of two-carbon metabolism to the hypoxic and nutrient limited environment of the granuloma. Promising targets for drug discovery were several regulatory elements (<it>devR/devS</it>, <it>relA</it>, <it>mprAB</it>), enzymes involved in redox balance and respiration, sulfur transport and fixation, pantothenate, isoprene, and NAD biosynthesis. The advantages and liabilities of each target are discussed in the context of enzymology, bacterial pathways, target tractability, and drug development.</p> <p>Conclusion</p> <p>Based on our bioinformatics analysis and additional discussion of in-depth biological rationale, several novel anti-TB targets have been proposed as potential opportunities to improve present therapeutic treatments for this disease.</p

What Do Community Benefits Agreements Deliver? Evidence From Los Angeles

Problem, research strategy, and findings: Advocates of community benefits agreements (CBAs) between coalitions of nongovernmental organizations (NGOs) and real estate developers contend that CBAs promote public accountability and responsiveness to community concerns. This study assesses the Los Angeles Sports and Entertainment District (LASED) CBA, which scholars and practitioners have described as a model for such agreements. I assess compliance with key provisions of the agreement related to jobs, affordable housing, and parks and recreational facilities. I also assess whether compliance with these provisions has yielded benefits beyond those required under existing laws and regulations. I find that the parties to the agreement have technically complied with many, although arguably not all, of its provisions. But some of the provisions in the CBA are not legally binding, other provisions overlap with requirements that the developer would have had to satisfy even without the CBA, and some reports required by the CBA are unavailable. As a result, outcomes such as living wage jobs and funding for affordable housing units are not clearly attributable to the CBA; other outcomes, such as targeted hiring, are unknown due to a lack of relevant information.Takeaway for practice: Although CBAs may not fulfill all the claims that advocates make on their behalf, they can play important roles in community development by directing public and private spending to underserved neighborhoods. But collecting and verifying the relevant data may be challenging, even if reporting requirements are clearly spelled out in the CBA. As the complexity of a CBA increases, so do the challenges of assessing outcomes and assigning responsibility for those outcomes