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Physiological recovery among workers in long-distance sleddog race: a case study on female veterinarians in Finnmarksløpet

Veterinarians are subjected to levels of work-related stress comparable to that experienced by other health-professionals (1–7).

Information dynamics of price and liquidity around the 2017 Bitcoin markets crash

Cryptocurrencies are a novel financial instrument, whose uniqueness lies in a novel distributed ledger technology that serves as a public database of executed transactions. They are also characterised by high price fluctuations, price bubbles, and sudden price crashes.

A Deep Gravity model for mobility flows generation

The movements of individuals within and among cities influence critical aspects of our society, such as well-being, the spreading of epidemics, and the quality of the environment. When information about mobility flows is not available for a particular region of interest, we must rely on mathematical models to generate them.

Machine Learning Approaches to Classify Primary and Metastatic Cancers Using Tissue of Origin-Based DNA Methylation Profiles
Machine Learning Approaches to Classify Primary and Metastatic Cancers Using Tissue of Origin-Based DNA Methylation Profiles
Authors: Shakshi Sharma (University of Tartu, Estonia); Rajesh Sharma (University of Tartu, Estonia)

Early cancer diagnosis is critical for patients' early treatment and survival. Moreover, the cancer type and their primary origin are critical factors, as metastatic tumors account for up to 90% of cancer-related deaths.

Does physical activity change in immigrants within the European Economic Area? A case study of Italians move to Norway

Physical activity (PA) is one of the lifestyle factors that most influence whether people live a long and healthy life. Not only does an active lifestyle make people live longer,but it also contributes to better mental health and, in general, a higher quality of life.

Kinesio-Taping
Kinesio-Taping might be a possible tool inducing benefit on sport performance such as warm-up
Author: Alessio Rossi (UniPi)

Warm-up (WU) represents one of the most employed pre-exercise routines anticipating a physical activity, both in health-related and competitive sporting environments. It is widely considered effective to promote specific effects related (e.g., increased thermoregulatory strain and decreased resistance of muscles and joints) and non-related (e.g., post-activation potentiation and psychological effects) to temperature changes. 

Women in Science: an interview to Fosca Giannotti

"I would like us to move towards an Artificial Intelligence centered on the person and society. [...] The choices we face today are linked to fundamental ethical issues about the impact of AI on society, in particular its influence on work, social interactions, healthcare, privacy and equity."

Interesting interview with Fosca Giannotti on the future of AI and SoBigData.

https://www.donnenellascienza.it/news/interviste/fosca-giannotti/

Visualizing the Results of Biclustering and Boolean Matrix Factorization Algorithms

In many data science tasks our goal is to understand the relationship of two different sets of entities. For example, a common problem that online shops need to solve is to understand the relationship between customers and products. This relationship reveals clusters of products that are frequently bought together and groups of users who buy similar products. Such insights can then be used for marketing activities or to make product recommendations.