University of Luxembourg

About: University of Luxembourg is a education organization based out in Luxembourg, Luxembourg. It is known for research contribution in the topics: Context (language use) & Computer science. The organization has 4744 authors who have published 22175 publications receiving 381824 citations.

MiRNA-29: a microRNA family with tumor-suppressing and immune-modulating properties.

Abstract: MicroRNAs (miRNAs) are ubiquitously expressed small, non-coding RNAs that negatively regulate gene expression at a post-transcriptional level. So far, over 1000 miRNAs have been identified in human cells and their diverse functions in normal cell homeostasis and many different diseases have been thoroughly investigated during the past decade. MiR-29, one of the most interesting miRNA families in humans to date, consists of three mature members miR-29a, miR-29b and miR-29c, which are encoded in two genetic clusters. Members of this family have been shown to be silenced or down-regulated in many different types of cancer and have subsequently been attributed predominantly tumor-suppressing properties, albeit exceptions have been described where miR-29s have tumor-promoting functions. MiR-29 targets expression of diverse proteins like collagens, transcription factors, methyltransferases and others, which may partake in abnormal migration, invasion or proliferation of cells and may favor development of cancer. Furthermore, members of the miR-29 family can be activated by interferon signaling, which suggests a role in the immune system and in host pathogen interactions, especially in response to viral infections. In this review, we summarize current knowledge on the genomic organization and regulation of the miR-29 family and we provide an overview of its implication in cancer suppression and promotion as well as in host immune responses. The numerous remarkable properties of these miRNAs and their often altered expression patterns might make the miR-29 family promising biomarkers and therapeutic targets for various diseases in future.

COVID-19 Disease Map, building a computational repository of SARS-CoV-2 virus-host interaction mechanisms.

Abstract: Researchers around the world join forces to reconstruct the molecular processes of the virus-host interactions aiming to combat the cause of the ongoing pandemic.

A search-based approach for accurate identification of log message formats

Abstract: Many software engineering activities process the events contained in log files. However, before performing any processing activity, it is necessary to parse the entries in a log file, to retrieve the actual events recorded in the log. Each event is denoted by a log message, which is composed of a fixed part---called (event) template---that is the same for all occurrences of the same event type, and a variable part, which may vary with each event occurrence. The formats of log messages, in complex and evolving systems, have numerous variations, are typically not entirely known, and change on a frequent basis; therefore, they need to be identified automatically. The log message format identification problem deals with the identification of the different templates used in the messages of a log. Any solution to this problem has to generate templates that meet two main goals: generating templates that are not too general, so as to distinguish different events, but also not too specific, so as not to consider different occurrences of the same event as following different templates; however, these goals are conflicting. In this paper, we present the MoLFI approach, which recasts the log message identification problem as a multi-objective problem. MoLFI uses an evolutionary approach to solve this problem, by tailoring the NSGA-II algorithm to search the space of solutions for a Pareto optimal set of message templates. We have implemented MoLFI in a tool, which we have evaluated on six real-world datasets, containing log files with a number of entries ranging from 2K to 300K. The experiments results show that MoLFI extracts by far the highest number of correct log message templates, significantly outperforming two state-of-the-art approaches on all datasets.

Functional impairment matters in the screening and diagnosis of gaming disorder.

Abstract: This commentary responds to Aarseth et al.’s (in press) criticisms that the ICD-11 Gaming Disorder proposal would result in “moral panics around the harm of video gaming” and “the treatment of abundant false-positive cases.” The ICD-11 Gaming Disorder avoids potential “overpathologizing” with its explicit reference to functional impairment caused by gaming and therefore improves upon a number of flawed previous approaches to identifying cases with suspected gaming-related harms. We contend that moral panics are more likely to occur and be exacerbated by misinformation and lack of understanding, rather than proceed from having a clear diagnostic system.