Learn More
BACKGROUND Strains of salmonella that are resistant to antimicrobial agents have become a worldwide health problem. A distinct strain of Salmonella enterica serotype typhimurium, known as definitive type 104 (DT104), is resistant to ampicillin, chloramphenicol, streptomycin, sulfonamides, and tetracycline and has become a major cause of illness in humans(More)
We conducted a national survey of antimicrobial resistance in human clinical isolates of Salmonella between July 1, 1994, and June 30, 1995. Every tenth nontyphoidal Salmonella isolate received at state public health laboratories in the United States during this period was tested for resistance to 12 antimicrobial agents, including two quinolones, nalidixic(More)
Light and electron microscopic studies of biopsy specimens taken from five patients with pityriasis rosea revealed the most conspicuous finding to be the presence of dyskeratotic cells within the epidermis. Ultrastructurally, these cells contained an aggregation of tonofilaments, intracytoplasmic desmosomes, many vacuoles, and viral-like particles. It is(More)
This study investigates the spatial water quality pattern of seven stations located along the main Langat River. Environmetric methods, namely, the hierarchical agglomerative cluster analysis (HACA), the discriminant analysis (DA), the principal component analysis (PCA), and the factor analysis (FA), were used to study the spatial variations of the most(More)
Poor bioavailability and poor pharmacokinetic characteristics are some of the leading causes of drug development failure. Therefore, poorly-soluble drugs, fragile proteins or nucleic acid products may benefit from their encapsulation in nanosized vehicles, providing enhanced solubilization, protection against degradation, and increased access to(More)
The present study deals with the assessment of Langat River water quality with some chemometrics approaches such as cluster and discriminant analysis coupled with an artificial neural network (ANN). The data used in this study were collected from seven monitoring stations under the river water quality monitoring program by the Department of Environment(More)
Municipal solid waste (MSW) is the natural result of human activities. MSW generation modeling is major significant in municipal solid waste management system planning. Predicting the amount of generated waste is difficult task because it is affect by various parameters. In this research, Artificial Neural Network (ANN) was trained and tested to weekly(More)