Hydrogen for ever!

Programs for Ever Programs for Ever

This article reflects our experience with the preservation of computer programs that once served a scientific purpose, but were not maintained since then. After producing results, published in scientific journals in the 70’s, 80’s and begin 90’s, they were stored provisionally on some kind of persistent medium and are at present restored to current state of the art hardware. We constructed an a...

Stars and stripes--for ever?

Language is never , ever , ever , random

Language users never choose words randomly, and language is essentially non-random. Statistical hypothesis testing uses a null hypothesis, which posits randomness. Hence, when we look at linguistic phenomena in corpora, the null hypothesis will never be true. Moreover, where there is enough data, we shall (almost) always be able to establish that it is not true. In corpus studies, we frequently...

Life Expectancy Changes for Each Subway Station: Taking Social Determinants of Health Seriously More Than Ever

Life Expectancy Changes for Each Subway Station: Taking Social Determinants of Health Seriously More Than Ever Reza Esmaeili 1* 1Assistance Professor, Department of Community Medicine, Social Determinants of Health Research Center, School of Medicine, Gonabad University of Medical Sciences, Gonabad, Iran Abstract Nowadays, health inequalities are emerging at short geographic distances, even ...

Online Supervised Hashing for Ever-Growing Datasets

Supervised hashing methods are widely-used for nearest neighbor search in computer vision applications. Most state-of-the-art supervised hashing approaches employ batch-learners. Unfortunately, batch-learning strategies can be inefficient when confronted with large training datasets. Moreover, with batch-learners, it is unclear how to adapt the hash functions as a dataset continues to grow and ...