Zobrazeno 1 - 10
of 567
pro vyhledávání: '"A Sękara"'
Publikováno v:
Nature Computational Science 3 (2023) 588-600
We provide a brief review of human mobility science and present three key areas where we expect to see substantial advancements. We start from the mind and discuss the need to better understand how spatial cognition shapes mobility patterns. We then
Externí odkaz:
http://arxiv.org/abs/2408.00702
Social connections are conduits through which individuals communicate, information propagates, and diseases spread. Identifying individuals who are more likely to adopt ideas and spread them is essential in order to develop effective information camp
Externí odkaz:
http://arxiv.org/abs/2405.12764
High-resolution human settlement maps provide detailed delineations of where people live and are vital for scientific and practical purposes, such as rapid disaster response, allocation of humanitarian resources, and international development. The in
Externí odkaz:
http://arxiv.org/abs/2404.13127
Socioeconomic segregation patterns in networks usually evolve gradually, yet they can change abruptly in response to external shocks. The recent COVID-19 pandemic and the subsequent government policies induced several interruptions in societies, pote
Externí odkaz:
http://arxiv.org/abs/2312.14692
External shocks embody an unexpected and disruptive impact on the regular life of people. This was the case during the COVID-19 outbreak that rapidly led to changes in the typical mobility patterns in urban areas. In response, people reorganised thei
Externí odkaz:
http://arxiv.org/abs/2310.03557
Publikováno v:
Journal of Medicinal Plants, Vol 15, Iss 59, Pp 6-39 (2016)
The aim of this review was to represent a category of applied plant biostimulants and to highlight the effect of their application on morphological and phytochemical properties of medicinal plants in in vivo and in vitro conditions and their mechanis
Externí odkaz:
https://doaj.org/article/1fa25b24a27f42f89bf988015998666b
Autor:
Sekara, Vedran, Karsai, Márton, Moro, Esteban, Kim, Dohyung, Delamonica, Enrique, Cebrian, Manuel, Luengo-Oroz, Miguel, Jiménez, Rebeca Moreno, Garcia-Herranz, Manuel
Novel digital data sources and tools like machine learning (ML) and artificial intelligence (AI) have the potential to revolutionize data about development and can contribute to monitoring and mitigating humanitarian problems. The potential of applyi
Externí odkaz:
http://arxiv.org/abs/2307.01891
Ensuring transparency and integrity in political communication on climate change has arguably never been more important than today. Yet we know little about how politicians focus on, talk about, and portray climate change on social media. Here we stu
Externí odkaz:
http://arxiv.org/abs/2304.03278
Autor:
Miljković, Nadica, Šekara, Tomislav B.
Background: Impedance Cardiogram (ICG) has impressive number of applications in healthcare. However, its wider adoption is excessively limited due to the well recognized challenges in ICG delineation. We present a simple, adaptive, and efficient meth
Externí odkaz:
http://arxiv.org/abs/2207.04490
Large-scale human mobility data is a key resource in data-driven policy making and across many scientific fields. Most recently, mobility data was extensively used during the COVID-19 pandemic to study the effects of governmental policies and to info
Externí odkaz:
http://arxiv.org/abs/2112.12521