Understanding class representations: An intrinsic evaluation of zero-shot text classification

Frequently, Text Classification is limited by insufficient training data. This problem is addressed by Zero-Shot Classification through the inclusion of external class definitions and then exploiting the relations between classes seen during training and unseen classes (Zero-shot). However, it requires a class embedding space capable of accurately representing the semantic relatedness between classes. This work defines an intrinsic evaluation based on greater-than constraints to provide a better understanding of this relatedness. The results imply that textual embeddings are able to capture more semantics than Knowledge Graph embeddings, but combining both modalities yields the best performance

TERRESTRIAL LASER SCANNER FOR MONITORING THE DEFORMATIONS AND THE DAMAGES OF BUILDINGS

scanner provides the ability to detect the geometric 3D model of a building without any physical contact with the structure. Knowledge of the 3D model will give the opportunity to study the deformation and quantify the damages. Three case studies are presented relating to damaged and/or unsafe buildings: Sivillier Castle (Villasor - Sardinia- Italy), the Bell Tower of Mores (Sardinia-Italy) and industrial building (Cagliari - Italy). The first two cases concern buildings of historical and architectural importance that present a state of compromised conservation; the last, an industrial building compromised by fire. In all cases, a laser scanner survey was carried out that not only provided valuable information but also highlighted structural metric deformation and degradation

Beliefs about technological and contextual features drive biofuels' social acceptance

To make the transition towards renewable and sustainable energy possible, there is a need to make new relevant technologies, including biofuels more acceptable and accepted. To promote biofuels acceptance and thus adoption means to improve both their perceived technological features and the surrounding context supporting their adoption, as well as some social-psychological features of the target adopters. Achieving the ultimate goal of biofuels adoption thus requires a complex and holistic approach to foster this new energy technology's acceptability and acceptance considering several biofuels features. For this aim, the integrated Sustainable Energy Technology Adoption Model (i-SETA) was developed and tested with newly piloted tools to measure the relevant biofuels' beliefs profile. A Path Analysis tested the relationship between the investigated variables. Results revealed the importance of beliefs belonging to each one of the different considered domains (technological, contextual, and personal variables). Several of them had a direct impact on the cognitive and affective biofuels evaluation, and subsequently on biofuels acceptability and acceptance, for European Union both laypeople and expert stakeholders (total sample of 1017 participants). The main results thus revealed that very specific beliefs, across all the three beliefs classes, can be identified as either barriers or drivers with respect to the aim of boosting biofuels' acceptability and acceptance. Each one of these specific beliefs could thus be properly targeted in the audiences to cope with the barriers and capitalize on the drivers

Anti-predator behaviour of the red-legged partridge Alectoris rufa (Galliformes: Phasianidae) to simulated terrestrial and aerial predators

This study is intended to investigate the differences in anti-predator behavioural and acoustic response to terrestrial and aerial predators as well as the behavioural differences between sexes in the red-legged partridge. To this aim we observed the response of 114 partridge (57 males and 57 females) to dummy terrestrial and aerial predators, a raptor and a fox. We divided behavioural responses to predators into four mutually exclusive categories: vigilance, freezing, escape and non-anti-predator behaviours. We also recorded and analysed the vocalizations emitted during tests. The animals reacted differently to aerial and terrestrial stimuli. The reactions elicited by the terrestrial predator were ranked as follows: vigilance, escape, non-anti-predator behaviours, and freezing. Those elicited by the aerial predator were ranked as follows: vigilance, freezing, escape and non-anti-predator behaviours. Vigilance and escape were elicited more frequently by the terrestrial predator than by the aerial predator (vigilance: p 0.001; escape: p 0.001). Freezing was the most frequent behaviour following the appearance of the aerial predator (p 0.001). In fact, freezing may represent an effective strategy in an open space, combining camouflage from and detection by the predator. On the other hand, vigilance is an effective behaviour to detect and avoid a terrestrial predator hunting by ambush. We did not find clear-cut differences between sexes. The analysis of vocalizations revealed that the fox and the raptor elicited significantly different calls (p = 0.003); the fox evoked significantly more vocalizations than the raptor (p 0.001), differing in addition in frequency parameters. Thus partridges not only discriminate between aerial and terrestrial predators and behave consequently, but are also able to tune alarm calls in relation to the context of predation

Citation prediction by leveraging transformers and natural language processing heuristics

In scientific papers, it is common practice to cite other articles to substantiate claims, provide evidence for factual assertions, reference limitations, and research gaps, and fulfill various other purposes. When authors include a citation in a given sentence, there are two considerations they need to take into account: (i) where in the sentence to place the citation and (ii) which citation to choose to support the underlying claim. In this paper, we focus on the first task as it allows multiple potential approaches that rely on the researcher's individual style and the specific norms and conventions of the relevant scientific community. We propose two automatic methodologies that leverage transformers architecture for either solving a Mask-Filling problem or a Named Entity Recognition problem. On top of the results of the proposed methodologies, we apply ad-hoc Natural Language Processing heuristics to further improve their outcome. We also introduce s2orc-9K, an open dataset for fine-tuning models on this task. A formal evaluation demonstrates that the generative approach significantly outperforms five alternative methods when fine-tuned on the novel dataset. Furthermore, this model's results show no statistically significant deviation from the outputs of three senior researchers

Experimental analysis of the station keeping response of a double-barge float-over system with an elastically scaled physical model

In this paper, an experimental investigation of the global response to waves relative to a newly developed float-over concept by TechnipFMC Rome Operating Center for transportation, installation and decommissioning of the off-shore platform topside is presented. A flexible scaled model of the float-over system was tested in the wave basin to determine the range of the sea-state conditions for which the response of the catamaran float-over is acceptable for mating operations. The present analysis is part of a more extensive experimental campaign which has involved also the use of a scaled rigid physical model (Dessi et al., 2016) and numerical simulations for which the collected data provide also a validation database

First molecular description of Macracanthorhynchus hirudinaceus in wild boars from Italy with pathomorphological and epidemiological insights

Macracanthorhynchus hirudinaceus is a zoonotic parasite affecting suids worldwide which are the definitive hosts for this helminth species. Macracanthorhynchus hirudinaceus is of significant economic and management concern due to its pathogenicity, causing intestinal obstruction and perforation in the definitive hosts. Current study is the preliminary investigation from Sardinia, Italy, reporting the pathomorphological findings and molecular characterization of M. hirudinaceus in the wild boars (Sus scrofa meridionalis). A total of 59 wild boars were examined showing acanthocephalan infection in 8 (13.6%) animals. In total, 49 parasites were collected with a mean intensity of 6.1. Comparatively higher infection levels were observed for males (16.7%) and young boars (14.3%); however, these epidemiological differences were statistically non-significant. Histopathological examination revealed the presence of a variable number of nodules (∼5 mm) in the intestine of M. hirudinaceus infested animals surrounded by a hyperemic-hemorrhagic halo. Several parasites were recovered from the intestinal lumen attached by the means of characteristic hooks showing necrosis in muscle layers. A moderate number of plump reactive fibroblasts and lesser numbers of fibrocytes were embedded with and at the borders of the inflammatory nodules in a moderate amount of homogeneous intensely eosinophilic fibrillary material rupturing the cell membrane. For molecular characterization, six isolated worms were amplified for the partial mitochondrial cox1 gene showing distinct interindividual variations. This first pathological and molecular description from southern Europe provided new knowledge about the diffusion of M. hirudinaceus in wild boars, furthering the research into the origin and transmission status of M. hirudinaceus in endemic localities

MODEL MATEMATIKA KECANDUAN TERHADAP AIBON

penelitian ini membahas model matematika kecanduan terhadap konsumsi aibon. Dalam skema asumsi kasus kecanduan aibon mendekati kondisi riil. Kecanduan akibat senyawa Lysergic Acid Diethyilamide (LSD) memperlihatkan prilaku dalam system endemik. Oleh karenanya, untuk pemodelan matematika dapat di peroleh. Model disusun dalam pembagian klaster populasi tertutup. Populasi potensial, populasi pecandu aktif dan populasi pecandu yang berhenti. Pada sistem model titik equilibrium yang memungkinkan muncul ada tiga, yaitu  dan . Sementara dari ketiga equilibrium tersebut yang asimtotik stabil adalah . Diperoleh juga nilai Reproduction number  yaitu sebesar . Dari nilai  yang diperoleh inilah dapat dinyatakan bahwa untuk populasi pecandu aktif dapat direduksi. Model matematika kecanduan terhadap aibon ini disajikan untuk mengetahui kelakuan solusi model dan laju perubahan pecandu aktif jika diakukan pengontrolan dan jika tidak dilakukan pengontrolan

Progetto Geosoglie

Il Centro Funzionale Decentrato (CFD) della Regione Sardegna si propone di sviluppare con il Progetto GEOSOGLIE una attività di ricerca e sviluppo sui temi del rischio idrogeologico e in particolare dei processi di innesco dei fenomeni franosi in funzione di specifici valori pluviometrici di soglia e della propensione al dissesto dei versanti. In questo lavoro viene presentata la struttura e lo sviluppo del progetto nelle sue fasi funzionali.The Decentralized Functional Centre (Centro Funzionale Decentrato, CFD) of Regione Autonoma della Sardegna, through the Project GEOSOGLIE, aims to develop research activities on hydrological risk issues and, in particolar, on the trigger processes of landslides according to specific rainfall thresholds. Moreover, the susceptivity to landslide will be mapped. In this paper we present the structure and the operational development of the project describing its functional phases