Predicting the future from the past: volatile markers for respiratory infections

Predicting the future from the past.

Introduction Like everyone else I am getting older, and I am being asked to talk more and more about the future (a coincidence?). By definition, these talks are speculative (there is no evidence for the future) and they reflect, almost exclusively, a personal view, which in turn arises from my own by definition restricted vital experiences. While preparing one of these talks, I thought that nob...

Hypercapnic respiratory failure: from the past to the future.

Predicting the Past, Remembering the Future.

Rational analyses of memory suggest that retrievability of past experience depends on its usefulness for predicting the future: memory is adapted to the temporal structure of the environment. Recent research has enriched this view by applying it to semantic memory and reinforcement learning. This paper describes how multiple forms of memory can be linked via common predictive principles, possib...

Predicting Acute Respiratory Infections from Participatory Data

Introduction ARIs have epidemic and pandemic potential. Prediction of presence of ARIs from individual signs and symptoms in existing studies have been based on clinically-sourced data1. Clinical data generally represents the most severe cases, and those from locations with access to healthcare institutions. Thus, the viral information that comes from clinical sampling is insufficient to either...

the algorithm for solving the inverse numerical range problem

برد عددی ماتریس مربعی a را با w(a) نشان داده و به این صورت تعریف می کنیم w(a)={x8ax:x ?s1} ، که در آن s1 گوی واحد است. در سال 2009، راسل کاردن مساله برد عددی معکوس را به این صورت مطرح کرده است : برای نقطه z?w(a)، بردار x?s1 را به گونه ای می یابیم که z=x*ax، در این پایان نامه ، الگوریتمی برای حل مساله برد عددی معکوس ارانه می دهیم.