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1تقرير
المؤلفون: Sánchez, Jazmín Aragón, Amigó, María Lourdes, Belussi, Cristian Horacio, Crivillero, María Victoria Ale, Suárez, Sergio, Guimpel, Julio, Nieva, Gladys, Gayone, Julio Esteban, Fasano, Yanina
المصدر: J. Phys. Mater. 5 044008 (2022)
مصطلحات موضوعية: Condensed Matter - Superconductivity
الوصف: The electronic properties of Fe-based superconductors are drastically affected by deformations on their crystal structure introduced by doping and pressure. Here we study single crystals of FeSe$_{1-x}$S$_{x}$ and reveal that local crystal deformations such as atomic-scale defects impact the spectral shape of the electronic core level states of the material. By means of scanning tunnelling microscopy (STM) we image S-doping induced defects as well as diluted dumbbell defects associated with Fe vacancies. We have access to the electronic structure of the samples by means of X-ray photoemission spectroscopy (XPS) and show that the spectral shape of the Se core levels can only be adequately described by considering a principal plus a minor component of the electronic states. We find this result for both pure and S-doped samples, irrespective that in the latter case the material presents extra crystal defects associated to doping with S atoms. We argue that the second component in our XPS spectra is associated with the ubiquitous dumbbell defects in FeSe that are known to entail a significant modification of the electronic clouds of surrounding atoms.
Comment: 12 pages, 7 figuresالوصول الحر: http://arxiv.org/abs/2211.05305Test
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2دورية أكاديمية
المؤلفون: Dalla Vecchia, Anna, Migliorini, Sara, Quintarelli, Elisa, Gambini, Mauro, Belussi, Alberto
المساهمون: Dalla Vecchia, Anna, Migliorini, Sara, Quintarelli, Elisa, Gambini, Mauro, Belussi, Alberto
مصطلحات موضوعية: recommendation system, touristic itinerary, deep reinforcement learning, sustainable tourism, overtourism
الوصف: Developing Recommender Systems (RSs) is particularly interesting in the tourist domain, where one or more attractions have to be suggested to users based on preferences, contextual dimensions, and several other constraints. RSs usually rely on the availability of a vast amount of historical information about users’ past activities. However, this is not usually the case in the tourist domain, where acquiring complete and accurate information about the user’s behavior is complex, and providing personalized suggestions is frequently practically impossible. Moreover, even though most available Touristic RSs (T-RSs) are user-focused, the touristic domain also requires the development of systems that can promote a more sustainable form of tourism. The concept of sustainable tourism covers many aspects, from economic, social, and environmental issues to the attention to improving tourists’ experience and the needs of host communities. In this regard, one of the most important aspects is the prevention of overcrowded situations in attractions or locations (over-tourism). For this reason, this paper proposes a different kind of T-RS, which focuses more on the tourists’ impact on the destinations, trying to improve their experiences by offering better visit conditions. Moreover, instead of suggesting the next Point of Interest (PoI) to visit in a given situation, it provides a suggestion about a complete sequence of PoIs (tourist itinerary) that covers an entire day or vacation period. The proposed technique is based on the application of Deep Reinforcement Learning, where the tourist’s reward depends on the specific spatial and temporal context in which the itinerary has to be performed. The solution has been evaluated with a real-world dataset regarding the visits conducted by tourists in Verona (Italy) from 2014 to 2023 and compared with three baselines.
العلاقة: firstpage:1; lastpage:36; numberofpages:36; journal:INFORMATION TECHNOLOGY & TOURISM; https://hdl.handle.net/11562/1125188Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85191182998
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3دورية أكاديمية
المؤلفون: Vu, Tin, Belussi, Alberto, Migliorini, Sara, Eldawy, Ahmed
المساهمون: Vu, Tin, Belussi, Alberto, Migliorini, Sara, Eldawy, Ahmed
مصطلحات موضوعية: spatial join, cost model, cardinality estimation, machine learning, query optimization
الوصف: The importance and complexity of spatial join operation resulted in the availability of many join algorithms, some of which are tailored for big-data platforms like Hadoop and Spark. The choice among them is not trivial and depends on different factors. This paper proposes the first machine-learning-based framework for spatial join query optimization which can accommodate both the characteristics of spatial datasets and the complexity of the different algorithms. The main challenge is how to develop portable cost models that once trained can be applied to any pair of input datasets, because they are able to extract the important input characteristics, such as data distribution and spatial partitioning, the logic of spatial join algorithms, and the relationship between the two input datasets. The proposed system defines a set of features that can be computed efficiently for the data to catch the intricate aspects of spatial join. Then, it uses these features to train five machine learning models that are used to identify the best spatial join algorithm. The first two are regression models that estimate two important measures of the spatial join performance and they act as the cost model. The third model chooses the best partitioning strategy to use with spatial join. The fourth and fifth models further tune two important parameters, number of partitions and plane-sweep direction, to get the best performance. Experiments on large-scale synthetic and real data show the efficiency of the proposed models over baseline methods.
وصف الملف: ELETTRONICO
العلاقة: firstpage:1; lastpage:23; numberofpages:23; journal:VLDB JOURNAL; https://hdl.handle.net/11562/1119153Test
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4تقرير
المؤلفون: Vu, Tin, Migliorini, Sara, Eldawy, Ahmed, Belussi, Alberto
المصدر: 1st ACM SIGSPATIAL International Workshop on Spatial Gems (SpatialGems 2019)
مصطلحات موضوعية: Computer Science - Databases
الوصف: This gem describes a standard method for generating synthetic spatial data that can be used in benchmarking and scalability tests. The goal is to improve the reproducibility and increase the trust in experiments on synthetic data by using standard widely acceptable dataset distributions. In addition, this article describes how to assign a unique identifier to each synthetic dataset that can be shared in papers for reproducibility of results. Finally, this gem provides a supplementary material that gives a reference implementation for all the provided distributions.
Comment: 9 pagesالوصول الحر: http://arxiv.org/abs/2107.08297Test
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5دورية أكاديمية
المؤلفون: Franco-Belussi, Lilian, de Oliveira Júnior, José Gonçalves, Goldberg, Javier, De Oliveira, Classius, Fernandes, Carlos E, Provete, Diogo B
المساهمون: Provencher, Jennifer, National Council for Scientific and Technological Advancement—CNPq, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso do Sul
المصدر: Conservation Physiology ; volume 12, issue 1 ; ISSN 2051-1434
مصطلحات موضوعية: Management, Monitoring, Policy and Law, Nature and Landscape Conservation, Ecological Modeling, Physiology
الوصف: The Pace-of-Life syndrome proposes that behavioural, physiological and immune characteristics vary along a slow-fast gradient. Urbanization poses several physiological challenges to organisms. However, little is known about how the health status of frogs is affected by urbanization in the Tropics, which have a faster and more recent urbanization than the northern hemisphere. Here, we analysed a suite of physiological variables that reflect whole organism health, reproduction, metabolic and circulatory physiology and leukocyte responses in Leptodactylus podicipinus. Specifically, we tested how leukocyte profile, erythrocyte morphometrics and germ cell density, as well as somatic indices and erythrocyte nuclear abnormalities differ throughout the adult life span between urban and rural populations. We used Phenotypic Trajectory Analysis to test the effect of age and site on each of the multivariate data sets; and a Generalised Linear Model to test the effect of site and age on nuclear abnormalities. Somatic indices, erythrocyte nuclear abnormalities, erythrocyte morphometrics and leukocyte profile differed between populations, but less so for germ cell density. We found a large effect of site on nuclear abnormalities, with urban frogs having twice as many abnormalities as rural frogs. Our results suggest that urban frogs have a faster pace of life, but the response of phenotypic compartments is not fully concerted.
الإتاحة: https://doi.org/10.1093/conphys/coad106Test
https://academic.oup.com/conphys/article-pdf/12/1/coad106/56811889/coad106.pdfTest -
6دورية أكاديمية
المؤلفون: Dalla Torre, Gianni, Belussi, Elia, Dietrich, Mark
الوصف: This white paper presents a technical implementation model and architectural patterns identified for Europe’s Cloud-Edge-IoT (CEI) market. In this white paper, the UNLOCK-CEI team examines each of the Considered Use Cases through a detailed structural analysis methodology. Each use case is categorised according to its possible architectural approaches for implementation, and common service requirements are identified for key architectural patterns. In total the original 63 Use Cases presented in D1.2 have been expanded to a list of 79 Use Cases and Use Case Solutions, which form the “Considered Use Cases” that are the foundation of this analysis. ...
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7مؤتمر
المساهمون: DALLA VECCHIA, Anna, Migliorini, Sara, Quintarelli, Elisa, Belussi, Alberto
مصطلحات موضوعية: Recommendation systems, Crowding forecasting, Deep learning
الوصف: Recommendation systems (RSs) are increasing their popularity in recent years. Many big IT companies like Google, Amazon and Netflix, have a RS at the core of their business. In this paper, we propose a modular platform for enhancing a RS for the tourism domain with a crowding forecaster, which is able to produce an estimation about the current and future occupation of different Points of Interest (PoIs) by taking into consideration also contextual aspects. The main advantage of the proposed system is its modularity and the ability to be easily tailored to different application domains. Moreover, the use of standard and pluggable components allows the system to be integrated in different application scenarios.
وصف الملف: ELETTRONICO
العلاقة: ispartofbook:Proceedings of the 31st Symposium of Advanced Database Systems; 31st Symposium of Advanced Database Systems (SEBD 2023); volume:3478; firstpage:632; lastpage:640; numberofpages:9; serie:CEUR WORKSHOP PROCEEDINGS; https://hdl.handle.net/11562/1104926Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85173431668
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8دورية أكاديمية
المؤلفون: Sedita, Silvia Rita, Belussi, Fiorenza, Noni, Ivan De, Apa, Roberta
المصدر: European Journal of Innovation Management, 2021, Vol. 25, Issue 6, pp. 393-412.
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9دورية أكاديمية
المؤلفون: Sabbadin, Elisa, De Noni, Ivan, Belussi, Fiorenza
المصدر: Competitiveness Review: An International Business Journal, 2022, Vol. 32, Issue 5, pp. 821-839.
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النص الكامل