Student Low Achievement Prediction

In this paper, we propose a method for assessing the risk of low achievement in primary and secondary school. We train three machine learning models with data collected by the Italian Ministry of Education through the INVALSI large-scale assessment tests. We compare the results of the trained models and evaluate the effectiveness of the solutions in terms of performance and interpretability. We test our methods on data collected in end-of-primary school mathematics tests to predict the risk of low achievement at the end of compulsory schooling (5 years later). The promising results of our approach suggest that it is possible to generalise the methodology for other school systems and for different teaching subject

Low-achievement risk assessment with machine learning

In this work, we propose a method for assessing the risk of low-achievement in secondary school with data collected from the Italian ministry of education. Low-achievement is a phenomenon whereby a student, despite completing his or her education, does not reach the level of competence expected by the school system. We train three machine learning models on a large, real dataset through the INVALSI large-scale assessment tests and compare the results in terms of predictive and descriptive performance. We exploit data collected in end-of-primary school mathematics tests to predict the risk of low-achievement at the end of compulsory schooling (5 years later). The promising results of our approach suggest that it is possible to generalise the methodology for other school systems and for different teaching subjects

Representation of learning in the post-digital: students’ dropout predictive models with artificial intelligence algorithms

Within the scientific debate on post-digital and education, we present a position paper to describe a research project aimed at the design of a predictive model for students’ low achievements in mathematics in Italy. The model is based on the INVALSI data set, an Italian large-scale assessment test, and we use decision trees as the classification algorithm. In designing this tool, we aim to overcome the use of economic, social, and cultural context indices as the main factors for the prediction of a learning gap occurrence. Indeed, we want to include a suitable representation of students’ learning in the model, by exploiting the data collected through the INVALSI tests. We resort to a knowledge-based approach to address this issue and specifically, we try to understand what knowledge is introduced into the model through the representation of learning. In this sense, our proposal allows a student’s learning encoding, which is transferable to different students’ cohorts. Furthermore, the encoding methods may be applied to other large-scale assessments test. Hence, we aim to contribute to a debate on knowledge representation in AI tools for education

Sexual masochism disorder with asphyxiophilia: a deadly yet underrecognized disease

DSM-5 distinguishes between paraphilias and paraphilic disorders. Paraphilias are defined as atypical, yet not necessarily disordered, sexual practices. Paraphilic disorders are instead diseases, which include distress, impairment in functioning, or entail risk of harm one's self or others. Hence, DSM-5 new approach to paraphilias demedicalizes and destigmatizes unusual sexual behaviors, provided they are not distressing or detrimental to self or others. Asphyxiophilia, a dangerous and potentially deadly form of sexual masochism involving sexual arousal by oxygen deprivation, are clearly described as disorders. Although autoerotic asphyxia has been associated with estimated mortality rates ranging from 250 to 1000 deaths per year in the United States, in Italy, knowledge on this condition is very poor. Episodes of death caused by autoerotic asphyxia seem to be underestimated because it often can be confounded with suicide cases, particularly in the Italian context where family members of the victim often try to disguise autoerotic behaviors of the victims. The current paper provides a review on sexual masochism disorder with asphyxiophilia and discusses one specific case as an example to examine those conditions that may or may not influence the likelihood that death from autoerotic asphyxia be erroneously reported as suicide or accidental injury

Federated Platooning: Insider Threats and Mitigations

Platoon formation is a freight organization system where a group of vehicles follows a predefined trajectory maintaining a desired spatial pattern. Benefits of platooning include fuel savings, reduction of carbon dioxide emissions, and efficient allocation of road capacity. While traditionally platooning has been an exclusive option limited to specific geographical areas managed by a single operator, recent technological developments and EU initiatives are directed at the creation of an international, federated market for platooning, i.e., a consortium of platoon operators that collaborate and coordinate their users to constitute freights covering international routes. In this paper, we look at federated platooning from an insiders\u27 perspective. In our development, first we outline the basic elements of platooning and federation of platooning operators. Then, we provide a comprehensive analysis to identify the possible insiders (employees, users, operators, and federated members) and the threats they pose. Finally, we propose two layered, composable technical solutions to mitigate those threats: \emph{a}) a decentralized overlay network that regulates the interactions among the stakeholders, useful to mitigate issues linked to data safety and trustworthiness and \emph{b}) a dynamic federation platform, needed to monitor and interrupt deviant behaviors of federated members

Smart Mobility for All: A Global Federated Market for Mobility-as-a-Service Operators

International audienceMulti-modal travelling is a common phenomenon. However, planning multi-modal journeys is still an unstructured and time-consuming experience for customers: they lose time assembling a comprehensive plan out of disparate data, spread over a multitude of information systems — each corresponding to a different company responsible for one of the legs in the journey. Also transport operators are affected by the sparsity of the transportation market, as they might lose potential customers who could not find or know about their services. In this paper, we propose Mobility as a Service (MaaS) as a solution to such problems. Key element of MaaS is that MaaS operators can aggregate solutions of multiple providers to deliver dynamic, transparent multi-modal travels to their users, who experience transportation as managed directly by a single operator. However, given the volume and sparsity of the transportation market, we argue that MaaS operators cannot rely on one-to-one, custom contracts of usage with single mobility operators. Instead, we envision the creation of platforms that automatise the marketing of services for mobility among many mobility providers. In this work, we detail the required features of a general software platform for such a MaaS market. In particular, we provide a precise definition of MaaS through the MaaS Stack — a tiered view of the components needed by entities to join the MaaS market. Then, through the lens of the MaaS Stack, we elicit the features of an enabling software platform. Finally, to validate our approach, we present a compliant prototype, called SMAll, and discuss its main design choices, among which: i) how SMAll supports the creation of a federation-based MaaS market and ii) how microservices — an emerging architectural style that fosters cohesiveness and minimality of components — enhance flexibility and let the platform and the services of its members efficiently scale according to dynamic demands

Strong mortars from the tower of the Cerreto Ciampoli castle (Siena, Italy)

[EN] Known since the eleventh century, the castle of Cerreto Ciampoli was one of the main fortifications of the ancient Republic of Siena (Tuscany, Italy). The magnificent ruins, located on the top of a hill overlooking the Chianti Mountains, consist of two city walls, a door, a church, the remains of some rooms and a mighty tower lying on the ground broken up into five sections of several meters in length. The present study is focused on the analysis of the mineralogical-petrographic and chemical features of the sack and the bedding mortars of the tower, and it is aimed at understanding the exceptional qualities of these mortars that, during the collapse of the artifact, prevented the tower from shattering into smaller pieces. The tenacity of these mortars appears to be the result of the concurrence of more expedients, such as the choice of well-selected materials (hydraulic limes obtained from the local Alberese limestone, sandy aggregates from well-rinsed river sands with a high silicoclastic component) and the use of particular technical methods (i.e. hot lime technique).Giamello, M.; Columbu, S.; Gabbrielli, F.; Mugnaini, S.; Scala, A. (2020). Le tenaci malte della torre del castello di Cerreto Ciampoli (Siena, Italia). Editorial Universitat Politècnica de València. 1509-1516. https://doi.org/10.4995/FORTMED2020.2020.11495OCS1509151

Pseudo solid-appearing pancreatic serous microcystic adenomas: Histologic diagnosis with the EUS core biopsy fork-tip needle

Background and Objectives: Despite rarely, serous cystic adenoma (SCA) can assume a pseudo-solid aspect mimicking other pancreatic neoplasm as neuroendocrine tumor. EUS-FNA cytology has low diagnostic accuracy due to the scant cellularity of the collected samples. Histological diagnosis is usually made after resection. Recently, end-cutting needles for EUS-fine-needle biopsy (EUS-FNB), which obtain tissue cores by penetrating the lesions, have been developed. We aimed to assess the capability of EUS-FNB with SharkCore (TM) needles in the preoperative diagnosis of serous cystic adenoma pseudo-solid-appearing on imaging (Sa-SCA). Materials and Methods: Between January 2016 and January 2018, data from consecutive adult patients, who were referred for EUS-FNB of a solid pancreatic lesion and were diagnosed with having SCA, were retrieved from a single-center institutional database. Results: Two patients were excluded because of microcystic aspect at EUS. Histological diagnosis of SCA was made by EUS-FNB in the remaining 7 patients (5 females; mean age of 62.5 years). Lesions (mean size of 19.8 mm) were hypervascular on cross-sectional imaging, slightly hyperdense magnetic resonance imaging with T2-weighted images can, and negative at Ga-68-somatostatin receptor positron emission tomography and (18)fluoro-deoxyglucose positron emission tomography. EUS-FNB samples were judged adequate for a definitive diagnosis in all cases, achieving specimens suitable for histological evaluation and several ancillary stains. Histochemical positivity for periodic acid-Schiff (PAS) and PAS with diastase digestion was observed in 7/7 cases. Immunohistochemical positivity for alpha-inhibin (7/7), GLUT1 (6/6), MUC6 (5/5), and negativity for synaptophysin (7/7) and chromogranin A (2/2) favored SCA diagnosis. Conclusions: In the case of preoperative workup suspected for Sa-SCA, a "forward acquiring" needle could improve the rate of preoperative histological diagnosis