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Agile Project Management in biopharma companies: perceived added value, challenges and risks
No full textGenetic evaluation of patients with multiple primary cancers.
No full textpeer reviewedRegarding inherited cancer predisposition, single gene carriers of pathogenic variants (PVs) have been extensively reported on in the literature, whereas the oligogenic coinheritance of heterozygous PVs in cancer-related genes is a poorly studied event. Currently, due to the increased number of cancer survivors, the probability of patients presenting with multiple primary cancers (MPCs) is higher. The present study included patients with MPCs aged ≤45 years without known PVs in common cancer predisposition genes. This study used whole exome sequencing (WES) of germline and tumoral DNA, chromosomal microarray analysis (CMA) of germline DNA (patients 1-7, 9 and 10), and a karyotype test of patient 8 to detect variants associated with the disease. The 10 patients included in the study presented a mean of 3 cancers per patient. CMA showed two microduplications and one microdeletion, while WES of the germline DNA identified 1-3 single nucleotide variants of potential interest to the disease in each patient and two additional copy number variants. Most of the identified variants were classified as variants of uncertain significance. The mapping of the germline variants into their pathways showed a possible additive effect of these as the cause of the cancer. A total of 12 somatic samples from 5 patients were available for sequencing. All of the germline variants were also present in the somatic samples, while no second hits were identified in the same genes. The sequencing of patients with early cancers, family history and multiple tumors is already a standard of care. However, growing evidence has suggested that the assessment of patients should not stop at the identification of one PV in a cancer predisposition gene
Measuring the Time-Varying Systemic Risks of hedge Funds: an Extreme Value Regression Approach
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Review of António Maria Caeiros, Le régime juridique du classement tarifaire des marchandises dans l’Union européenne, Brussels, Bruylant, 2022, 252 pages, ISBN: 9782802772057.
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How to minimize the annotation effort in aerial wildlife surveys
No full textpeer reviewedAircraft-based monitoring of wildlife is a popular way among conservation practitioners to obtain animal population counts over large areas. Nowadays, these aerial censuses are becoming increasingly scalable due to the advent of drone technology, which is frequently combined with deep learning-based image recognition. Yet, the annotation burden associated with training deep learning architectures remains a problem especially for commonly used bounding box detection models. Point-based density estimation- and localization models are cheaper to train, and often work better when the aerial imagery is recorded at an oblique angle. Beyond this, though, there currently is little consensus about which strategy to use for what kind of data. In this work, we address this knowledge gap and evaluate modifications to a state-of-the-art detection model (YOLOv8) that minimize labeling efforts by enabling it to work on point-annotated images. We study the effect of these adjustments on detection accuracy and extensively compare them to a localization architecture on four datasets consisting of nadir and oblique images. The goal of this paper is to offer wildlife conservationists practical advice on which of the recently proposed deep learning architectures to use given the properties of their images, as well as on the data properties that will maximize model performance independently of the architecture. We find that counting accuracy can largely be maintained at reduced annotation effort, that object detection technology outperforms the localization approach on nadir images, and that it shows competitive performance in the oblique setting. The images used to obtain the results presented in this paper can be found on Zenodo for all publicly available datasets, as well as all code necessary to reproduce our results was uploaded to GitHub
Magnetic Lightning in Macroscopic Superconducting Ring Structures
No full textpeer reviewedIn this chapter, we discuss the process of magnetic flux injection into a macroscopic flat superconducting ring. We place special emphasis on the emergence of lightning-like magnetic flux bursts along heated trails originating from thermomagnetic instabilities. Additionally, we explore strategies aimed at mitigating or delaying this phenomenon. Understanding these dynamics is crucial, as they may significantly impact the performance of superconducting resonators, shielding systems, and metamaterials
Modeling Pedestrian Behavior in Metro Stations with Commercial Facilities: An Attractiveness-Based Approach
No full textpeer reviewedThis study is focused on understanding and optimizing pedestrian behavior in metro stations with commercial facilities. Recognizing that both transit and commercial interests influence pedestrian behavior in these stations, we developed an improved attractiveness-based route choice model. This model incorporates subjective perceptions of distance and waiting time, alongside the utility of facilities, to predict pedestrian behavior and passenger flow more accurately. We implemented the model in AnyLogic using the social force model for simulation. Our findings show that the incorporation of subjective perceptions enhances the predictive accuracy of pedestrian behavior in metro stations with commercial facilities. We validated the model using benchmarking methods against real-world data from Shanghai’s Jing’an Temple station. The simulation results highlighted how strategic placement and configuration of transit and commercial facilities can optimize operational performance and enhance passenger experience. We applied the model to various scenarios, revealing critical insights for spatial design, such as the benefits of repositioning gates, adding barriers near escalators, and adjusting escalator speeds. The study provides actionable recommendations for station layout optimization to improve transportation efficiency and commercial viability. Future research should be designed to expand sample sizes, incorporate more diverse commercial types, and utilize advanced tools, such as virtual reality, for data collection to further refine pedestrian behavior models in complex environments
Effective computations of abelian complexities
No full textIn combinatorics on words, a conjecture due to Parreau et al. in 2015 claims that, given an abstract numeration system S, the k-abelian complexity (a generalization of the abelian complexity due to Karhumäki et al. in 2013) of an S-automatic sequence is itself S-regular. Some isolated instances for this conjecture have been identified, but no large family of sequences. In this talk, such a family of sequences is exhibited, which are fixed points of Pisot-type substitutions and for which the abstract numeration system is the classical Dumont-Thomas numeration system associated with the substitution.
This is a joint work with J.-M. Couvreur (Orléans, France), M. Delacourt (Orléans, France), N. Ollinger (Orléans, France), P. Popoli (Liège, Belgium), and J. Shallit (Waterloo, Canada)
Comment meurent les démocraties
No full textDans les films hollywoodiens, la mort d'une démocratie est toujoujours violente, brutale. Un coup d'Etat perpétré par des milices ou des rebelles renverse le gouvernement. Des tanks envahissent les rues. Les médias télévisés et les radios sont contrôlés par des militaires en uniforme. La démocratie s'écroule en un éclair. Mais en dehors des salles de cinéma, est-ce vraiment le cas? Que se passse-t-il aujourd'hui? Quel regard poser sur la société? Car, actuellement, il ne se passe pas une semaine sans que nous ne lisions dans les journaux ou en ligne, sans que nous n'entendions à la radio ou à la télévision que la démocratie serait en danger, qu'elle serait menacée, attaquée, fragilisée. A l'inverse de c que nous montrent les films, le plus souvent, les démocraties meurent lentement..