What do Portuguese people die of?

Nowadays, in developed countries as Portugal, deaths are essentially concentrated at old and very old ages, but it is still rather important to identify main causes of death (CODs). Thus, following Population News, Trends and Attitudes #1, where it was evaluated how mortality patterns have changed In Portugal, i.e., how mortality rates declined over time, it is also imperative to understand from what Portuguese inhabitants are dying of

Cancer mortality in Portugal

Following Population News, Trends and Attitudes #6 it was possible to identify that, despite circulatory system diseases represent the leading causes of death (COD) in Portugal, the share of deaths caused by neoplasms is increasing with time. Analysing data from 10th International Classification of Diseases available at Statistics Portugal (INE), one can observe that since 2010 mortality associated to neoplasms is the major COD for males. In 2015, males presented almost twice the number of deaths caused by neoplasms when compared to females: 356.0 against 169.9 per 100.000 individuals

The University of Dayton Alumnus, February 1940

This issues includes an open letter from President Rev. John Elbert to the Associate Board of Lay Trustees. It also includes happenings from around campus, sporting news, trends in business, and alumni notes.https://ecommons.udayton.edu/dayton_mag/1037/thumbnail.jp

Quantization of Light Energy Directly from Classical Electromagnetic Theory in Vacuum

It is currently believed that light quantum or the quantization of light energy is beyond classical physics and the picture of wave-particle duality, which was criticized by Einstein but attracted a number of experimental researches, is necessary for the description of light. We show in this paper, however, that the quantization of light energy in vacuum, which is the same as that in quantum electrodynamics, can be derived directly from the classical electromagnetic theory through the consideration of statistics based on classical physics. Therefore, the quantization of energy is an intrinsic property of light as a classical electromagnetic wave and has no need of being related to particles.Comment: 9 pages, 1 figur

How mortality patterns have changed in Portugal

Changes in social structures, advances in medicine and technology highly contributed to life expectancy increase across the entire world. Thus, longevity’s increase occurs as a result of significant improvements in health and consequent reductions in mortality rates. Past high levels of mortality are now experienced later in life, suggesting that senescence is being delayed and not stretched and individuals are reaching older ages in better physiological condition (Vaupel, 2010). Following the Human Mortality Database (HMD - http://www.mortality.org), life expectancy at birth in Portugal was, in 2015, 81.12 years (78.02 for males and 84.02 for females)

A Latent Source Model for Nonparametric Time Series Classification

For classifying time series, a nearest-neighbor approach is widely used in practice with performance often competitive with or better than more elaborate methods such as neural networks, decision trees, and support vector machines. We develop theoretical justification for the effectiveness of nearest-neighbor-like classification of time series. Our guiding hypothesis is that in many applications, such as forecasting which topics will become trends on Twitter, there aren't actually that many prototypical time series to begin with, relative to the number of time series we have access to, e.g., topics become trends on Twitter only in a few distinct manners whereas we can collect massive amounts of Twitter data. To operationalize this hypothesis, we propose a latent source model for time series, which naturally leads to a "weighted majority voting" classification rule that can be approximated by a nearest-neighbor classifier. We establish nonasymptotic performance guarantees of both weighted majority voting and nearest-neighbor classification under our model accounting for how much of the time series we observe and the model complexity. Experimental results on synthetic data show weighted majority voting achieving the same misclassification rate as nearest-neighbor classification while observing less of the time series. We then use weighted majority to forecast which news topics on Twitter become trends, where we are able to detect such "trending topics" in advance of Twitter 79% of the time, with a mean early advantage of 1 hour and 26 minutes, a true positive rate of 95%, and a false positive rate of 4%.Comment: Advances in Neural Information Processing Systems (NIPS 2013

TEXT MINING – PREREQUISITE FOR KNOWLEDGE MANAGEMENT SYSTEMS

Text mining is an interdisciplinary field with the main purpose of retrieving new knowledge from large collections of text documents. This paper presents the main techniques used for knowledge extraction through text mining and their main areas of applicability and emphasizes the importance of text mining in knowledge management systems.text mining, knowledge systems, information retrieval

On different qq-systems in nonextensive thermostatistics

It is known that the nonextensive statistics was originally formulated for the systems composed of subsystems having same $q$. In this paper, the existence of composite system with different $q$ subsystems is investigated by fitting the power law degree distribution of air networks with $q$-exponential distribution. Then a possible extension the nonextensive statistics to different $q$ systems is provided on the basis of an entropy nonadditivity rule and an unnormalized expectation of energy.Comment: 17 pages, 4 figures, will be published in Euro. Phys. J. B (2006