A fuzzy logic model for the analysis of social corporate responsibility

Introduction: Critical public opinion, based on information that is made available to the public through different systems, has led companies that operate in the environment to continually improve their social, environmental, and ethical performance. Objectives: This paper aims to propose a fuzzy-logic-based model for the analysis of social corporate responsibility in cases of environmental accidents. Methods: Our study employs techniques derived from social network analysis. The data was collected from the online database of The New York Times for the timespan from March 24, 1989, to September 1, 2017. Results: The results show that the proposed model can be replicated, after some adjustments. Conclusion: We conclude that, despite the complexity of an analysis of this kind in which the model is applied considering isolated words in the text and not the semantic aspects, the proposed model based on fuzzy logic is adequate for the analysis of social corporate responsibility.We would like to thank professors Mariana Claudia Broens, Jose Arthur Quilici Gonzalez and Maria Eunice Quilici Gonzalez for the helpful supervision and indications during the fundamental stages of this research. This paper was supported by the "Understanding opinion and language dynamics using massive data", funded by The São Paulo Research Foundation - FAPESP (reference: 2016/50256-0) (Trans-Atlantic Platform Social Sciences and Humanities, Digging into Data Challenges). We would like to thank the whole team of this project for their discussion and feedback. Ana Claudia Golzio also received support by FAPESP (process number: 2019/08442-9) during the development of this paper, and Mirelys Puerta-Díaz received funding from Coordination for the Improvement of Higher Education Personnel (CAPES) - Financial Code 001

Simulations studies for the Mini-EUSO detector

Mini-EUSO is a mission of the JEM-EUSO program flying onboard the International Space Station since August 2019. Since the first data acquisition in October 2019, more than 35 sessions have been performed for a total of 52 hours of observations. The detector has been observing Earth at night-time in the UV range and detected a wide variety of transient sources all of which have been modelled through Monte Carlo simulations. Mini-EUSO is also capable of detecting meteors and potentially space debris and we performed simulations for such events to estimate their impact on future missions for cosmic ray science from space. We show here examples of the simulation work done in this framework to analyse the Mini-EUSO data. The expected response of Mini-EUSO with respect to ultra high energy cosmic ray showers has been studied. The efficiency curve of Mini-EUSO as a function of primary energy has been estimated and the energy threshold for Cosmic Rays has been placed to be above 10^{21} eV. We compared the morphology of several transient events detected during the mission with cosmic ray simulations and excluded that they can be due to cosmic ray showers. To validate the energy threshold of the detector, a system of ground based flashers is being used for end-to-end calibration purposes. We therefore implemented a parameterisation of such flashers into the JEM-EUSO simulation framework and studied the response of the detector with respect to such sources

ISL1 Directly Regulates FGF10 Transcription during Human Cardiac Outflow Formation

The LIM homeodomain gene Islet-1 (ISL1) encodes a transcription factor that has been associated with the multipotency of human cardiac progenitors, and in mice enables the correct deployment of second heart field (SHF) cells to become the myocardium of atria, right ventricle and outflow tract. Other markers have been identified that characterize subdomains of the SHF, such as the fibroblast growth factor Fgf10 in its anterior region. While functional evidence of its essential contribution has been demonstrated in many vertebrate species, SHF expression of Isl1 has been shown in only some models. We examined the relationship between human ISL1 and FGF10 within the embryonic time window during which the linear heart tube remodels into four chambers. ISL1 transcription demarcated an anatomical region supporting the conserved existence of a SHF in humans, and transcription factors of the GATA family were co-expressed therein. In conjunction, we identified a novel enhancer containing a highly conserved ISL1 consensus binding site within the FGF10 first intron. ChIP and EMSA demonstrated its direct occupation by ISL1. Transcription mediated by ISL1 from this FGF10 intronic element was enhanced by the presence of GATA4 and TBX20 cardiac transcription factors. Finally, transgenic mice confirmed that endogenous factors bound the human FGF10 intronic enhancer to drive reporter expression in the developing cardiac outflow tract. These findings highlight the interest of examining developmental regulatory networks directly in human tissues, when possible, to assess candidate non-coding regions that may be responsible for congenital malformations