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In recent decades, the field of statistical linguistics has made significant strides, which have been fueled by the availability of data. Leveraging Twitter data, this paper explores the English and Spanish languages, investigating their rank diversity across different scales: temporal intervals (ranging from 3 to 96 h), spatial radii (spanning 3 km to over 3000 km), and grammatical word ngrams (ranging from 1-grams to 5-grams). The analysis focuses on word ngrams, examining a time period of 1 year (2014) and eight different countries. Our findings highlight the relevance of all three scales with the most substantial changes observed at the grammatical level. Specifically, at the monogram level, rank diversity curves exhibit remarkable similarity across languages, countries, and temporal or spatial scales. However, as the grammatical scale expands, variations in rank diversity become more pronounced and influenced by temporal, spatial, linguistic, and national factors. Additionally, we investigate the statistical characteristics of Twitter-specific tokens, including emojis, hashtags, and user mentions, revealing a sigmoid pattern in their rank diversity function. These insights contribute to quantifying universal language statistics while also identifying potential sources of variation.

Dealing with traffic congestion is one of the most pressing challenges for cities. Transport authorities have implemented several strategies to reduce traffic jams with varying degrees of success. The use of reversible lanes is a common approach to improve traffic congestion during rush hours. A reversible lane can change its direction during a time interval to the more congested direction. This strategy can improve traffic congestion in specific scenarios. Most reversible lanes in urban roads are fixed in time and number; however, traffic patterns in cities are highly variable and unpredictable due to this phenomenon's complex nature. Therefore, reversible lanes may not improve traffic flow under certain circumstances; moreover, they could worsen it because of traffic fluctuations. In this paper, we use cellular automata to model adaptive reversible lanes(aka dynamic reversible lanes). Adaptive reversible lanes can change their direction using real-time information to respond to traffic demand fluctuations. Using real traffic data, our model shows that adaptive reversible lanes can improve traffic flow up to 40% compared to conventional reversible lanes. Our results show that there are significant fluctuations in traffic flow even during rush hours, and thus cities would benefit from implementing adaptive reversible lanes., Competing Interests: The authors have declared that no competing interests exist.

Autoimmune lymphoproliferative syndrome (ALPS) is a primary immunodeficiency caused by impaired Fas/FasL-mediated apoptosis of lymphocytes and is characterized by chronic nonmalignant or benign lymphoproliferation, autoimmune manifestations and expansion of double negative (DN) T-cells (TCRαβ+CD4-CD8-). Most cases of ALPS are associated with germline (ALPS-FAS) or somatic (ALPS-sFAS) heterozygous FAS mutations or a combination of both. Here we report three unrelated patients with ALPS-sFAS. Only one of them showed impaired Fas function in PHA-activated T-cells. In this patient, the genetic analysis of the caspase-10 gene (CASP10) identified a heterozygous germline change in exon 9 (c.1337A>G) causing Y446C substitution in the caspase-10 protein. In addition, this patient had a dysregulated T- and B-cell phenotype; circulating lymphocytes showed expansion of T effector memory CD45RA+ (TEMRA) CD4 T-cells, effector memory CD8 T-cells, CD21(low) B-cells and reduced memory switched B-cells. Additionally, this patient showed altered expression in T-cells of several molecules that change during differentiation from naïve to effector cells (CD27, CD95, CD57 and perforin). Molecular alterations in genes of the Fas pathway are necessary for the development of ALPS and this syndrome could be influenced by the concurrent effect of other mutations hitting different genes involved in Fas or related pathways., (Copyright © 2015 Elsevier GmbH. All rights reserved.)