OBJECTIVES To explore the potential for reducing the procedural duration of the string test for the diagnosis of tuberculosis (TB) using microscopic observation drug susceptibility (MODS) culture. METHODS Twelve patients already diagnosed with pulmonary TB, four each with sputum smear acid-fast bacilli grade 1+, 2+ and 3+, underwent four consecutive string tests of varying intra-gastric downt...

Information-Gap Decision Theory (IGDT), an approach to robust decision making under severe uncertainty, is newly considered in the context of a simple life cycle engineering example. IGDT offers a path to a decision in the class of problems where a nominal estimate of an uncertain life cycle parameter is available, but the amount of the deviation of that estimate from the actual value, as well ...

Often in the early stages of the engineering design process, a decision maker lacks the information needed to represent uncertainty in the input parameters of a performance model. In one particular form of severely deficient information, a nominal estimate is available for an input parameter, but the amount of discrepancy between that estimate and the parameter’s true value, as well as the impl...

Information-Gap Decision Theory (IGDT), an approach to robust decision making under severe uncertainty, is considered in the context of a simple life cycle engineering example. IGDT offers a path to a decision in the class of problems where only a nominal estimate is available for some uncertain life cycle variable that affects performance, and where there is some unknown amount of discrepancy ...

INTRODUCTION The inclusion of Internet Gaming Disorder (IGD) in the DSM-5 (Section 3) has given rise to much scholarly debate regarding the proposed criteria and their operationalization. The present study's aim was threefold: to (i) develop and validate a brief psychometric instrument (Ten-Item Internet Gaming Disorder Test; IGDT-10) to assess IGD using definitions suggested in DSM-5, (ii) con...

Introducing new technologies in co-generation and tri-generation systems has led to a rapid growth toward the energy hubs (EHs) as an effective way for coupling among various types. On other hand, have usually been exposed uncertain environments due presence of renewable sources (RESs) interaction with electricity markets. Hence, this paper develops novel optimization framework based on hybrid ...

This paper presents a chance constrained information gap decision model for multi-period microgrid expansion planning (MMEP) considering two categories of uncertainties, namely random and non-random uncertainties. The main task of MMEP is to determine the optimal sizing, type selection, and installation time of distributed energy resources (DER) in microgrid. In the proposed formulation, inform...

This paper presents the application of Information Gap Decision Theory (IGDT) to help the Distribution Network Operators (DNOs) in choosing the supplying resources for meeting the demand of their customers. The three main energy resources are pool market, Distributed Generations (DGs) and the bilateral contracts. In deregulated environment, the DNO is faced with many uncertainties associated to...

Exploiting clean energy resources (CERs) is an applicable way to enhance sustainable development and have the cleaner production of electricity. On other hand, variability intermittency these are important disadvantages for determining reliable operation electrical grids. Thus, using uncertainty modeling techniques seems necessary more practical values decision-making variables. The current pap...

Purpose This study aims to form a new concept of power-to-gas-based virtual power plant (GVPP) and propose low-carbon economic scheduling optimization model for GVPP considering carbon emission trading. Design/methodology/approach In view the strong uncertainty wind photovoltaic generation in GVPP, information gap decision theory (IGDT) is used measure tolerance threshold under different expect...