A dynamic reduced order model using integral manifold theory has been derived, which can be used to simulate the DOIG wind turbine using a double-winding representation of the generator rotor. The model is suitable for use in transient stability programs that can be used to investigate large power systems. The behavior of a wind farm and the network under various system disturbances was stu...

OBJECTIVES In a pilot implementation project of the microscopic-observation drug-susceptibility methodology, we conducted a process evaluation to identify health system and logistic challenges that need to be addressed in order to harness the benefits of rolling out promising new diagnostic tools for multidrug-resistant tuberculosis (MDRTB). METHODS Regional data relating to health system pra...

The COVID-19 pandemic has accelerated global e-commerce growth and consequently, online transactions have become the new norm. Unfortunately, such digitalisation of economy not been adequately captured by current international tax system as it only requires multinational enterprises to pay where production occurs. Therefore, numerous countries imposed digital services (DST) an interim measure a...

This paper provides a method to predict magnetic storm events based on the time series of the Dst index over the period 1981–2002. This method is based on the multiple scaling of the measure representation of the Dst time series. This measure is modeled as a recurrent iterated function system, which leads to a method to predict storm patterns included in its attractor. Numerical results are pro...

OBJECTIVE To identify and describe the extent to which theory or theoretical frameworks informed the development and evaluation of decision support technologies (DSTs). METHODS The analysis was based on the decision technologies used in studies included in the Cochrane systematic review of patient decision aids for people facing health screening or treatment decisions. The assumption was made...

Decision-in decision-out fusion architecture can be used to fuse the outputs of multiple classifiers from different diagnostic sources. In this paper, Dempster-Shafer Theory (DST) has been used to fuse classification results of breast cancer data from two different sources: gene-expression patterns in peripheral blood cells and Fine-Needle Aspirate Cytology (FNAc) data. Classification of indivi...

New tuberculosis drug regimens are creating new priorities for drug susceptibility testing (DST) and surveillance. To minimise turnaround time, rapid DST will need to be prioritised, but developers of these assays will need better data about the molecular mechanisms of resistance. Efforts are underway to link mutations with drug resistance and to develop strain collections to enable assessment ...

Several systematic studies have evaluated serial dexamethasone suppression tests (DST) in patients with major depression who were treated with antidepressant medications. DST changes were noted to parallel clinical improvement in most recovering patients. If serial DSTs are a valid state-related correlate of depressive pathophysiology, all types of effective antidepressant treatment should resu...

Over the past 10 years, the Peruvian National Tuberculosis (TB) Program, the National Reference Laboratory (NRL), Socios en Salud, and US partners have worked to strengthen the national TB laboratory network to support treatment of multidrug-resistant TB. We review key lessons of this experience. The preparation phase involved establishing criteria for drug susceptibility testing (DST), selecti...

We study some natural sets arising in the theory of ordinary differential equations in one variable from the point of view of descriptive set theory and in particular classify them within the Borel hierarchy. We prove that the set of Cauchy problems for ordinary differential equations which have a unique solution is Π2-complete and that the set of Cauchy problems which locally have a unique sol...