Seismic reflection data in the Umbria Marche Region: limits and capabilities to unravel the subsurface structure in a seismically active area

Before seismic data were made available, the subsurface setting of the Umbria-Marche area was mainly derived from the extrapolation of surface data and from models resulting from analogies with other mountain chains around the world. During the ‘90s industrial seismic data availability considerably increased, allowing the definition of new, previously unknown features. Beside the industrial seismic data availability, a deep crustal, near vertical seismic section trending E-W was acquired (CROP-03) across the Italian peninsula from the Tyrrhenian to the Adriatic coast. The subsurface data defined the compressional deformation style (thin- Vs thick- skinned) and the extensional deformation style. A set of east-dipping low-angle-normal faults, which dissect the previous compressional structures and which are the dominant features controlling the extension of the Apennines were recognised. The subsequent application of the seismic data interpretation to seismotectonic issues, defined in more detail the subsurface geometries of the active faults and the relationships between upper crust structure and seismicity

Source Code Classification for Energy Efficiency in Parallel Ultra Low-Power Microcontrollers

The analysis of source code through machine learning techniques is an increasingly explored research topic aiming at increasing smartness in the software toolchain to exploit modern architectures in the best possible way. In the case of low-power, parallel embedded architectures, this means finding the configuration, for instance in terms of the number of cores, leading to minimum energy consumption. Depending on the kernel to be executed, the energy optimal scaling configuration is not trivial. While recent work has focused on general-purpose systems to learn and predict the best execution target in terms of the execution time of a snippet of code or kernel (e.g. offload OpenCL kernel on multicore CPU or GPU), in this work we focus on static compile-time features to assess if they can be successfully used to predict the minimum energy configuration on PULP, an ultra-low-power architecture featuring an on-chip cluster of RISC-V processors. Experiments show that using machine learning models on the source code to select the best energy scaling configuration automatically is viable and has the potential to be used in the context of automatic system configuration for energy minimisation

Benchmarking a many-core neuromorphic platform with an MPI-based DNA sequence matching algorithm

SpiNNaker is a neuromorphic globally asynchronous locally synchronous (GALS)multi-core architecture designed for simulating a spiking neural network (SNN) in real-time. Several studies have shown that neuromorphic platforms allow flexible and efficient simulations of SNN by exploiting the efficient communication infrastructure optimised for transmitting small packets across the many cores of the platform. However, the effectiveness of neuromorphic platforms in executing massively parallel general-purpose algorithms, while promising, is still to be explored. In this paper, we present an implementation of a parallel DNA sequence matching algorithm implemented by using the MPI programming paradigm ported to the SpiNNaker platform. In our implementation, all cores available in the board are configured for executing in parallel an optimised version of the Boyer-Moore (BM) algorithm. Exploiting this application, we benchmarked the SpiNNaker platform in terms of scalability and synchronisation latency. Experimental results indicate that the SpiNNaker parallel architecture allows a linear performance increase with the number of used cores and shows better scalability compared to a general-purpose multi-core computing platform

Women in geosciences within the Italian University system in the last 20 years

Abstract. This work aims at providing an updated scenario on the underrepresentation of women in the Italian university system in the area of geosciences in the last two decades. The retrieved official data on permanent full and associate professors in the 19-years considered highlight some positive trends: an increase in the number of female full professors from 9.0 % to 18.5 % and in female associate professors from 23.6 % to 28.9 %. However, although the number of female full professors almost doubled in this period, such increase still represents an excessively slow trend. Slightly better is the trend related to associate professors. The picture portrayed for non-permanent researchers, called RTD-b, as introduced by the Italian Law no. 240/2010 (essentially tenure-track associate professor position), instead raises strong concerns for the future seen that the female percentage is just 26 %, thus exhibiting a significant gender imbalance. This is even more significant if we consider that the student population in geosciences shows a gender imbalance of about 37 %, no gender gap at PhD level and a relatively high Glass Ceiling Index (GCI) during the career progression of women. An analysis of the geographical distribution of female researchers in geosciences has evidenced that, although the percentages of women are comparable, the GCI calculated in Southern Italy has been alarmingly high in the last 2–3 years and is divergent from the decrease observed in Northern and Central Italy. The work also analyses the gender balance over different areas of geosciences, showing that in Paleontology and Paleoecology the gap is inverted with more female than male professors, both at full and associate professor level, whereas the gap is almost closed in Mineralogy for associate professors, far though from being balanced for full professors. All remaining geological disciplines suffer a gender imbalance. Further analysis carried out in this work unveils that the number of female full professor is low (<10 %) both at national and regional level in the 2000–2009 decade, consistent with a GCI higher than 2.5–3. From 2010 to 2013, likely in response to the Italian Law no. 240 of 2010, an important progressive increase, associated with a decrease of GCI, is visible. However, from 2014 to 2019 the percentage remains constant (∼20 %) with the exception of Southern Italy, which displays a return to lower values (<15 %). Finally, an international comparison with countries like Germany and the USA definitively indicates that the Italian university system is more equal in terms of gender balance. Even if some significant and positive steps have been carried out in the Italian university system, still much effort is required to fight a general and crucial problem which is the gender balance issue. Results could be achieved promoting work-life balance policies that better reconcile family and work, stimulating a reorganization of the work system still currently set on the male model but, and more importantly, changing the prevailing patriarchal mentality. The Italian university system has already a great example to follow: the zero-pay gap. This is possibly the only system worldwide where male and female professors earn the same identical salary, compared to the salary gap of between 15 % and 30 % of countries richer than Italy, and must be the target to reach, in the near future, for gender balance

To be or not to be a germ cell: The extragonadal germ cell tumor paradigm

In the human embryo, the genetic program that orchestrates germ cell specification in-volves the activation of epigenetic and transcriptional mechanisms that make the germline a unique cell population continuously poised between germness and pluripotency. Germ cell tumors, neo-plasias originating from fetal or neonatal germ cells, maintain such dichotomy and can adopt either pluripotent features (embryonal carcinomas) or germness features (seminomas) with a wide range of phenotypes in between these histotypes. Here, we review the basic concepts of cell specification, migration and gonadal colonization of human primordial germ cells (hPGCs) highlighting the analogies of transcriptional/epigenetic programs between these two cell types

Building Research Capacity in Botswana: A Randomized Trial Comparing Training Methodologies in the Botswana Ethics Training Initiative

Background Little empirical data are available on the extent to which capacity-building programs in research ethics prepare trainees to apply ethical reasoning skills to the design, conduct, or review of research. A randomized controlled trial was conducted in Botswana in 2010 to assess the effectiveness of a case-based intervention using email to augment in-person seminars. Methods University faculty and current and prospective IRB/REC members took part in a semester-long training program in research ethics. Participants attended two 2-day seminars and were assigned at random to one of two on-line arms of the trial. Participants in both arms completed on-line international modules from the Collaborative Institutional Training Initiative. Between seminars, intervention-arm participants were also emailed a weekly case to analyze in response to set questions; responses and individualized faculty feedback were exchanged via email. Tests assessing ethics knowledge were administered at the start of each seminar. The post-test included an additional section in which participants were asked to identify the ethical issues highlighted in five case studies from a list of multiple-choice responses. Results were analyzed using regression and ANOVA. Results Of the 71 participants (36 control, 35 intervention) enrolled at the first seminar, 41 (57.7%) attended the second seminar (19 control, 22 intervention). In the intervention arm, 19 (54.3%) participants fully completed and 8 (22.9%) partially completed all six weekly cases. The mean score was higher on the post-test (30.3/40) than on the pre-test (28.0/40), and individual post- and pre-test scores were highly correlated (r = 0.65, p \u3c 0.0001). Group assignment alone did not have an effect on test scores (p \u3e 0.84), but intervention-arm subjects who completed all assigned cases answered an average of 3.2 more questions correctly on the post-test than others, controlling for pre-test scores (p = 0.003). Conclusions Completion of the case-based intervention improved respondents\u27 test scores, with those who completed all six email cases scoring roughly 10% better than those who failed to complete this task and those in the control arm. There was only suggestive evidence that intensive case work improved ethical issue identification, although there was limited ability to assess this outcome due to a high drop-out rate