Superscaling in electron scattering from nuclei is re-examined paying special attention to the definition of the averaged single-nucleon responses. The validity of the extrapolation of nucleon responses in the Fermi gas has been examined, which previously lacked a theoretical foundation. To address this issue, we introduce new averaged responses with a momentum distribution smeared around the Fermi surface, allowing for momenta above the Fermi momentum. This approach solves the problem of negativity in the extrapolation away from the scaling region and, at the same time, validates its use in the scaling analysis. This work has important implications for the interpretation of scaling data and contributes to the development of a more complete understanding of the scaling approach.

In recent years, online social media information has been subject of study in several data science fields due to its impact on users as a communication and expression channel. Data~gathered from online platforms such as Twitter has the potential to facilitate research over social phenomena based on sentiment analysis, which usually employs Natural Language Processing and Machine Learning techniques to interpret sentimental tendencies related to users opinions and make predictions about real events. Cyber attacks are not isolated from opinion subjectivity on online social networks. Various security attacks are performed by hacker activists motivated by reactions from polemic social events. In this paper, a methodology for tracking social data that can trigger cyber attacks is developed. Our main contribution lies in the monthly prediction of tweets with content related to security attacks and the incidents detected based on ℓ1 regularization.

Introduction: Capillary malformation-arteriovenous malformation (CM-AVM; MIM#608354) is caused by germline RASA1 and EPHB4 alterations. RASA1 intralesional second hits have also been reported. Constitutional mosaicism, defined as the presence of a mosaic variant in all cell types of an individual, is detected in clinical practice as mosaic variants in multiple tested samples from one individual or as mosaic variants in blood samples in a disorder affecting another cell/tissue types. Here we report RASA1 constitutional mosaicism in CM-AVM. Subjects and methods: A custom high-throughput sequencing panel was used to search for RASA1 pathogenic variants in blood samples from two unrelated patients with a clinical diagnosis of CM-AVM. An affected tissue sample from one of the patients was also analyzed. Results: Both patients showed different nonsense RASA1 variants in mosaic in blood samples and in the corresponding affected tissue sample from one of the patients. The mosaicism ranged between 7% and 21,5%. Conclusions: We report for the first time the presence of RASA1 constitutional mosaicism in CM-AVM. Constitutional mosaicism has implications for accurate molecular diagnosis and recurrence risk, and helps to explain the great phenotypic variability in CM-AVM.