Rescheduling rehabilitation sessions with answer set programming

The rehabilitation scheduling process consists of planning rehabilitation physiotherapy sessions for patients, by assigning proper operators to them in a certain time slot of a given day, taking into account several requirements and optimizations, e.g. patient’s preferences and operator’s work balancing. Being able to efficiently solve such problem is of upmost importance, in particular as a consequence of the COVID-19 pandemic that significantly increased rehabilitation’s needs. The problem has been recently successfully solved via a two-phase solution based on answer set programming (ASP). In this paper, we focus on the problem of rescheduling the rehabilitation sessions, which comes into play when the original schedule cannot be implemented, for reasons that involve the unavailability of operators and/or the absence of patients. We provide rescheduling solutions based on ASP for both phases, considering different scenarios. Results of experiments performed on real benchmarks, provided by ICS Maugeri, show that also the rescheduling problem can be solved in a satisfactory way. Finally, we present a web application that supports the usage of our solution

Non-volant mammals of the 'Lago di Tarsia' Regional Nature Reserve and Special Conservation Area (IT93100055; Cosenza, Southern Italy)

In this study we improved the knowledge about terrestrial mammals (excluding Chiroptera) of the 'Lago di Tarsia' Regional Nature Reserve (Special Conservation Area; Cosenza; Southern Italy), collecting a large amount both of direct and indirect original data (including road-killing remains and items obtained by small mammal traps, owl pellets, and phototraps), and bibliographic ones. We obtained 424 records belonging to 22 taxa classified at species level and one requiring a further taxonomic diagnosis (Microtus savii vel brachycerchus). Hystrix cristata Linnaeus, 1758, Vulpes vulpes (Linnaeus, 1758) and Martes sp. were the taxa with the highest number of records (> 10%). Sciurus meridionalis (Lucifero, 1907), Martes foina (Erxleben, 1777), Glis glis (Linnaeus, 1758), Apodemus cfr. flavicollis (Melchior, 1834), Lepus europaeus Pallas, 1778, Talpa romana (Thomas, 1902), Rattus cfr. rattus (Linnaeus, 1758), Arvicola amphibius (Linnaeus, 1758) were the taxa with the lowest number (<1%). Almost half of the records have been obtained by indirect traces (hairs, excrements, fingerprints, burrows, etc.). Records from owl pellets represented an important percentage. Although the study area is restricted in size, the high environmental heterogeneity make possible the co-occurrence of a high number of species, including specialized taxa (e.g., forest mammals, mustelids and Soricomorpha). Some species, occurring in the neighbouring, although not recorded in our study (e.g. Sorex spp., Neomys sp., Elyomis quercinus Linnaeus, 1766), could be confirmed improving the research effort. Further studies are necessary in this regard, also focusing on the role of this reserve as dispersal corridor for rare carnivores, occurring in the massifs and rivers neighbouring to the Reserve (e.g. Lutra lutra Linnaeus, 1758 and Canis lupus Linnaeus, 1758)

Solving rehabilitation scheduling problems via a two-phase ASP approach

A core part of the rehabilitation scheduling process consists of planning rehabilitation physiotherapy sessions for patients, by assigning proper operators to them in a certain time slot of a given day, taking into account several legal, medical and ethical requirements and optimizations, e.g., patient’s preferences and operator’s work balancing. Being able to efficiently solve such problem is of upmost importance, in particular after the COVID-19 pandemic that significantly increased rehabilitation’s needs. In this paper, we present a two-phase solution to rehabilitation scheduling based on Answer Set Programming, which proved to be an effective tool for solving practical scheduling problems. We first present a general encoding, and then add domain specific optimizations. Results of experiments performed on both synthetic and real benchmarks, the latter provided by ICS Maugeri, show the effectiveness of our solution as well as the impact of our domain specific optimization

Effect of Lactoferrin on Clinical Outcomes of Hospitalized Patients with COVID-19: The LAC Randomized Clinical Trial

: As lactoferrin is a nutritional supplement with proven antiviral and immunomodulatory abilities, it may be used to improve the clinical course of COVID-19. The clinical efficacy and safety of bovine lactoferrin were evaluated in the LAC randomized double-blind placebo-controlled trial. A total of 218 hospitalized adult patients with moderate-to-severe COVID-19 were randomized to receive 800 mg/die oral bovine lactoferrin (n = 113) or placebo (n = 105), both given in combination with standard COVID-19 therapy. No differences in lactoferrin vs. placebo were observed in the primary outcomes: the proportion of death or intensive care unit admission (risk ratio of 1.06 (95% CI 0.63-1.79)) or proportion of discharge or National Early Warning Score 2 (NEWS2) ≤ 2 within 14 days from enrollment (RR of 0.85 (95% CI 0.70-1.04)). Lactoferrin showed an excellent safety and tolerability profile. Even though bovine lactoferrin is safe and tolerable, our results do not support its use in hospitalized patients with moderate-to-severe COVID-19

Breeding bird communities in a morain landscape (Affi, North-Western Venetia): a preliminary survey.

A pilot study was conducted on a moraine hilly landscape (Affi, Verona). We found 43 species of birds overall (40 breeding, two migrants, one exotic species). Mosaics showed the largest absolute number of species (n = 25), the higher mean species richness and the highest diversity index. The croplands and wood fragments, on the contrary, pointed out the lowest absolute number of species, the vineyards showed the mean species richness. These bird communities are typical of conditions with high heterogeneity (mosaic environment) to medium-high level of anthropization, with a species composition characterized by the dominance of common and widespread taxa. We observed individuals of Ptyonoprogne rupestris in atypical environments (anthropized river plain). A stronger research effort is necessary in order to complete the knowledge of breeding bird communities in these particular environments

An overview of ASP applications in the health-care domain

Answer Set Programming is a (nonmonotic) knowledge representation and reasoning framework that has been employed in a number of applications. In this paper, we focus on two recent applications in the health-care domain

Escavazione localizzata a valle di strutture trasversali in fondo incoerente o coesivo: osservazioni sperimentali e modellazione numerica

Dottorato di Ricerca in Ingegneria Idraulica per l’Ambiente e il Territorio Ciclo XXV, a.a.2013Università della Calabri