Constant decision-making underpins much of daily life, from simple perceptual decisions about navigation through to more complex decisions about important life events. At many scales, a fundamental task of the decision-maker is to balance competing needs for caution and urgency: fast decisions can be more efficient, but also more often wrong. We show how a single mathematical framework for deci...

Prediction of diseases is sensitive as any error can result in the wrong person's treatment or not treating right patient. Besides, some features distinguish a disease from curable to fatal chronic disease. Data mining techniques have been widely used health-related research. The researchers, so far, could attain around 97 percent accuracy using several methods. Some researchers demonstrated th...

Voting is a commonly used technique in combining results from peer experts. In distributed decision making systems, voting mechanisms are used to obtain a decision by incorporating the opinion of multiple units. Voting systems has many applications in fault tolerant systems, mutual exclusion in distributed systems, and replicated databases. We are specifically interested in voting systems as us...

The decision Learning With Errors problem has proven an extremely flexible foundation for devising provably secure cryptographic primitives. LWE can be expressed in terms of linear algebra over Z/qZ. This modulus q is the subject of study of the present work. When q is prime and small, or when it is exponential and composite with small factors, LWE is known to be at least as hard as standard wo...

Any believable prediction will be wrong. Any correct prediction will be unbelievable. Either way, a futurist can’t win. He is either dismissed or wrong ... Most people, particularly most smart people ... will err on the side of not being fantastical enough. Because absolutely no one wants to be dismissed. What’s the point of making a prediction if no one is listening? So 99% of future predictio...

A digital compensation scheme based on a perturbation theory for mitigation of cross-phase modulation (XPM) distortions is developed for dispersion-managed fiber-optic communication systems. It is a receiver-side scheme that uses a hard-decision unit to estimate data for the calculation of XPM fields using the perturbation technique. The intra-channel nonlinear distortions are removed by intra-...

BACKGROUND Although patient decision aids (pDAs) are effective, widespread use of pDAs for cancer treatment has not been achieved. The objectives of this study were to perform a systematic review to identify alternate types of decision support interventions (DSIs) for cancer treatment and a meta-analysis to compare the effectiveness of these DSIs to pDAs. METHODS The inclusion criteria for th...