background: cooperative and collaborative learning approach with online programs is useful in response to rising demand for university educational system. this study evaluates the use of internet and computer in collaborative teaching and learning process for post graduate nursing students. method: this is a correlation descriptive study. the population in the study is based on census sampling ...

BACKGROUND Vancomycin-resistant enterococci are pathogenic bacteria that attenuate antibiotic sensitivity by producing peptidoglycan precursors that terminate in D-Ala-D-lactate rather than D-Ala-D-Ala. A key enzyme in effecting antibiotic resistance is the metallodipeptidase VanX, which reduces the cellular pool of the D-Ala-D-Ala dipeptide. RESULTS We constructed eleven mutants, using the r...

Binary label information is widely used semantic information in discriminative dictionary learning and non-negative matrix factorization. A Discriminative Dictionary Learning (DDL) algorithm uses the label of some data samples to enhance the discriminative property of sparse signals. A discriminative Non-negative Matrix Factorization (NMF) utilizes label information in learning discriminative b...

This paper describes the DDL proposals submitted in response to the MPEG-7 Call for Proposals and the results of their evaluation at the MPEG-7 AHG Test and Evaluation Meeting in Lancaster in February 1999. It also describes the proposal from DSTC which was considered to provide the best starting point for a DDL and the features from other proposals which were considered to be of value for futu...

Distributed Description Logics (DDL) enable reasoning with multiple ontologies interconnected by directional semantic mapping, called bridge rules. Bridge rules map concepts of a source ontology into concepts of a target ontology. Concept subsumptions of the source ontology can be propagated according to a propagation pattern expressed by bridge rules into concept subsumptions of the target ont...

Data-driven learning has been recognized a potential tool for enhancing outcomes. The current study designed data-driven hospitality lexis programme to facilitate the of vocabulary by autonomous learners. To achieve objectives, development learners’ knowledge was measured using T-test based on pre-testing and post-testing. In addition, opinions were explored two types questionnaire: Mentimeter ...

Manufacturing process modelling (MPM) aims to construct high-fidelity digital predictive models of the concerned properties products, processes or manufacturing systems for further optimisation and improvement activities. Data-driven methods, including machine learning deep learning, have drawn immense attention MPM problems because their powerful representative ability. However, labelled data ...

Background. The assessment of MDM2 gene amplification by fluorescence in situ hybridization (FISH) has become a routine ancillary tool for diagnosing atypical lipomatous tumor (ALT)/well-differentiated liposarcoma and dedifferentiated liposarcoma (WDL/DDL) in specialist sarcoma units. We describe our experience of its utility at our tertiary institute. Methods. All routine histology samples in ...