نتایج جستجو برای: displacement discontinuity method ddm
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IBM's Customer Information Control System (CICS) is the leading product family in the on-line transaction processing (OLTP) market, OLTP systems are being used by many enterprises to implement their daily business processes and manage operational data such as accounts, inventories, and orders. CICS/Distributed Data Management (CICS/DDM) implements the distributed file function of Systems Applrc...
UNLABELLED Caries is a global public health problem, whose control requires the introduction of low-cost treatments, such as strong prevention strategies, minimally invasive techniques and chemical prevention agents. Nature plays an important role as a source of new antibacterial substances that can be used in the prevention of caries, and Brazil is the richest country in terms of biodiversity....
BACKGROUND Depression is characterized by poor executive function, but - counterintuitively - in some studies, it has been associated with highly accurate performance on certain cognitively demanding tasks. The psychological mechanisms responsible for this paradoxical finding are unclear. To address this issue, we applied a drift diffusion model (DDM) to flanker task data from depressed and hea...
scattering of an incoming wave train by a discontinuity at the upper surface of the ocean over a uniform porous bottom of finite depth is considered here in the framework of linearized water wave theory. by employing residue calculus method, the reflection and transmission coefficient are obtained. these coefficients are computed numerically for different values of the porosity parameter g and ...
A critical component of both economic and perceptual decision-making under uncertainty is the belief formation process. However, most research has studied belief formation in economic and perceptual decision-making in isolation. One reason for this separate treatment may be the assumption that there are distinct psychological mechanisms that underlie belief formation in economic and perceptual ...
Distributed Data Mining (DDM) is vital in various applications for processing large volumes of data. The datasets are saved the local databases and operated by communities, but it provides solution locally globally. However, stored a distributed manner which affects scalability reliability issues. In addition, data influenced security privacy challenges. third party may access DDM, causes autho...
Distributed data mining (DDM) is the semi-automatic pattern extraction of distributed data sources. The next generation of the data mining studies will be distributed data mining for many reasons. First of all, most of the current used data mining techniques require all data to be resident in memory, i.e., the mining process must be done at the data source site. This is not feasible for the exp...
Recent research suggests that incubation is superior to metacognition in tasks involving many decision alternatives (Dijksterhuis et al., 2006). One explanation for these findings is the limited information processing capacity of working memory. The current study further investigates this topic by using more complex tasks as many errors in Dynamic Decision-Making (DDM) are thought to be related...
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