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  1. Book ; Online: Periferie europee

    Locatelli, Andrea Maria / Molinari, Paolo / Besana, Claudio / Martinelli, Nicola / Molinari, Paolo

    Istituzioni sociali, politiche, luoghi - 2 tomi indivisibili

    (Geostoria del territorio)

    2021  

    Series title Geostoria del territorio
    Keywords Economic history ; Economic geography ; Urban peripheries, Europe, History, Economic history, Geography, Institutions, Social forces, Social policies, Urban regeneration
    Language 0|i
    Size 1 electronic resource (187 pages)
    Publisher FrancoAngeli
    Publishing place Milan
    Document type Book ; Online
    Note Italian ; Open Access
    HBZ-ID HT021620259
    ISBN 9788835125228 ; 8835125227
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Modified Nishida's procedure in a case of medial rectus hypoplasia.

    Rath, Soveeta / Ganesh, Suma / Goyal, Priya / Molinari, Andrea

    Strabismus

    2022  , Page(s) 1–4

    Abstract: Introduction: ...

    Abstract Introduction:
    Language English
    Publishing date 2022-12-05
    Publishing country England
    Document type Journal Article
    ZDB-ID 1149100-0
    ISSN 1744-5132 ; 0927-3972
    ISSN (online) 1744-5132
    ISSN 0927-3972
    DOI 10.1080/09273972.2022.2136212
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5485: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (2.OG)
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  3. Article ; Online: Waste cooking oil and molasses for the sustainable production of extracellular lipase by Saitozyma flava.

    Donzella, Silvia / Fumagalli, Andrea / Contente, Martina Letizia / Molinari, Francesco / Compagno, Concetta

    Biotechnology and applied biochemistry

    2024  

    Abstract: Organic waste valorization is one of the principal goals of the circular economy. Bioprocesses offer a promising approach to achieve this goal by employing microorganisms to convert organic feedstocks into high value products through their metabolic ... ...

    Abstract Organic waste valorization is one of the principal goals of the circular economy. Bioprocesses offer a promising approach to achieve this goal by employing microorganisms to convert organic feedstocks into high value products through their metabolic activities. In this study, a fermentation process for yeast cultivation and extracellular lipase production was developed by utilizing food waste. Lipases are versatile enzymes that can be applied in a wide range of industrial fields, from detergent, leather, and biodiesel production to food and beverage manufacturing. Among several oleaginous yeast species screened, Saitozyma flava was found to exhibit the highest secreted lipase activity on pNP-butyrate, pNP-caproate, and pNP-caprylate. The production medium was composed of molasses, a by-product of the sugar industry, which provided nutrients for yeast biomass formation. At the same time, waste cooking oil was employed to induce and enhance extracellular lipase production. After 48 h of process, 20 g/L of yeast biomass and 150 mU/mg
    Language English
    Publishing date 2024-02-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 883433-7
    ISSN 1470-8744 ; 0885-4513
    ISSN (online) 1470-8744
    ISSN 0885-4513
    DOI 10.1002/bab.2570
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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  4. Article ; Online: Improved risk minimization algorithms for technology-assisted review

    Alessio Molinari / Andrea Esuli / Fabrizio Sebastiani

    Intelligent Systems with Applications, Vol 18, Iss , Pp 200209- (2023)

    2023  

    Abstract: MINECORE is a recently proposed decision-theoretic algorithm for technology-assisted review that attempts to minimise the expected costs of review for responsiveness and privilege in e-discovery. In MINECORE, two probabilistic classifiers that classify ... ...

    Abstract MINECORE is a recently proposed decision-theoretic algorithm for technology-assisted review that attempts to minimise the expected costs of review for responsiveness and privilege in e-discovery. In MINECORE, two probabilistic classifiers that classify documents by responsiveness and by privilege, respectively, generate posterior probabilities. These latter are fed to an algorithm that returns as output, after applying risk minimization, two ranked lists, which indicate exactly which documents the annotators should review for responsiveness and which documents they should review for privilege. In this paper we attempt to find out if the performance of MINECORE can be improved (a) by using, for the purpose of training the two classifiers, active learning (implemented either via relevance sampling, or via uncertainty sampling, or via a combination of them) instead of passive learning, and (b) by using the Saerens-Latinne-Decaestecker algorithm to improve the quality of the posterior probabilities that MINECORE receives as input. We address these two research questions by carrying out extensive experiments on the RCV1-v2 benchmark. We make publicly available the code and data for reproducing all our experiments.
    Keywords Technology-assisted review ; E-discovery ; Risk minimization ; Dataset shift ; MINECORE ; Cybernetics ; Q300-390 ; Electronic computers. Computer science ; QA75.5-76.95
    Language English
    Publishing date 2023-05-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  5. Book ; Online: Indicadores de desempeño para servicios de saneamiento

    Matos, Rafaela / Cardoso, Adriana / Ashley, Richard / Duarte Farinha, Patrícia Margaida / Molinari, Alejo / Schulz, Andreas

    2021  

    Keywords Civil engineering, surveying & building
    Size 1 electronic resource (428 pages)
    Publisher Universitat Politècnica de València Editorial
    Publishing place Valencia
    Document type Book ; Online
    Note Spanish ; Open Access
    HBZ-ID HT021291349
    ISBN 978-84-9048-846-1 ; 84-9048-846-0
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  6. Article: Arrhythmogenic Left Ventricular Cardiomyopathy: From Diagnosis to Risk Management.

    Mauriello, Alfredo / Roma, Anna Selvaggia / Ascrizzi, Antonia / Molinari, Riccardo / Loffredo, Francesco S / D'Andrea, Antonello / Russo, Vincenzo

    Journal of clinical medicine

    2024  Volume 13, Issue 7

    Abstract: Purpose of review: Left ventricular arrhythmogenic cardiomyopathy (ALVC) is a rare and poorly characterized cardiomyopathy that has recently been reclassified in the group of non-dilated left ventricular cardiomyopathies. This review aims to summarize ... ...

    Abstract Purpose of review: Left ventricular arrhythmogenic cardiomyopathy (ALVC) is a rare and poorly characterized cardiomyopathy that has recently been reclassified in the group of non-dilated left ventricular cardiomyopathies. This review aims to summarize the background, diagnosis, and sudden cardiac death risk in patients presenting this cardiomyopathy.
    Recent findings: Although there is currently a lack of data on this condition, arrhythmogenic left ventricular dysplasia can be considered a specific disease of the left ventricle (LV). We have collected the latest evidence about the management and the risks associated with this cardiomyopathy.
    Summary: Left ventricular arrhythmogenic cardiomyopathy is still poorly characterized. ALVC is characterized by fibrofatty replacement in the left ventricular myocardium, with variable phenotypic expression. Diagnosis is based on a multiparametric approach, including cardiac magnetic resonance (CMR) and genetic testing, and is important for sudden cardiac death (SCD) risk stratification and management. Recent guidelines have improved the management of left ventricular arrhythmogenic cardiomyopathy. Further studies are necessary to improve knowledge of this cardiomyopathy.
    Language English
    Publishing date 2024-03-22
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2662592-1
    ISSN 2077-0383
    ISSN 2077-0383
    DOI 10.3390/jcm13071835
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Comparative visible-light driven selective oxidation to aldehydes of phenylmethanol (benzyl alcohol) and 4-pyridinylmethanol (4-pyridinecarbinol) on N-TiO

    Samiolo, Luca / Amadelli, Rossano / Maldotti, Andrea / Molinari, Alessandra

    Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology

    2021  Volume 20, Issue 12, Page(s) 1635–1644

    Abstract: Visible light (λ > 420 nm) selective photooxidation of phenylmethanol and 4-pyridinylmethanol in ... ...

    Abstract Visible light (λ > 420 nm) selective photooxidation of phenylmethanol and 4-pyridinylmethanol in CH
    Language English
    Publishing date 2021-11-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 2072584-X
    ISSN 1474-9092 ; 1474-905X
    ISSN (online) 1474-9092
    ISSN 1474-905X
    DOI 10.1007/s43630-021-00137-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Recent developments in muscle synergy analysis in young people with neurodevelopmental diseases: A Systematic Review.

    Beltrame, Giulia / Scano, Alessandro / Marino, Giorgia / Peccati, Andrea / Molinari Tosatti, Lorenzo / Portinaro, Nicola

    Frontiers in bioengineering and biotechnology

    2023  Volume 11, Page(s) 1145937

    Abstract: The central nervous system simplifies motor control by sending motor commands activating groups of muscles, known as synergies. Physiological locomotion can be described as a coordinated recruitment of four to five muscle synergies. The first studies on ... ...

    Abstract The central nervous system simplifies motor control by sending motor commands activating groups of muscles, known as synergies. Physiological locomotion can be described as a coordinated recruitment of four to five muscle synergies. The first studies on muscle synergies in patients affected by neurological diseases were on stroke survivors. They showed that synergies can be used as biomarkers for motor impairment as they vary in patients with respect to healthy people. Likewise, muscle synergy analysis has been applied to developmental diseases (DD). The need for a comprehensive view of the present findings is crucial for comparing results achieved so far and promote future directions in the field. In the present review, we screened three scientific databases and selected thirty-six papers investigating muscle synergies extracted from locomotion in children affected by DD. Thirty-one articles investigate how cerebral palsy (CP) influences motor control, the currently exploited method in studying motor control in CP and finally the effects of treatments in these patients in terms of synergies and biomechanics; two articles investigate how muscle synergies vary in Duchenne muscular dystrophy (DMD), and three other articles assess other developmental pathologies, such as chronic and acute neuropathic pain. For CP, most of the studies demonstrate that the number of synergies is lower and that the synergy composition varies in the affected children with respect to normal controls. Still, the predictability of treatment's effects and the etiology of muscle synergy variation are open questions, as it has been reported that treatments minimally modify synergies, even if they improve biomechanics. The application of different algorithms in extracting synergies might bring about more subtle differences. Considering DMD, no correlation was found between non-neural muscle weakness and muscle modules' variation, while in chronic pain a decreased number of synergies was observed as a possible consequence of plastic adaptations. Even if the potential of the synergistic approach for clinical and rehabilitation practices is recognized, there is not full consensus on protocols nor widely accepted guidelines for the systematic clinical adoption of the method in DD. We critically commented on the current findings, on the methodological issues and the relative open points, and on the clinical impact of muscle synergies in neurodevelopmental diseases to fill the gap for applying the method in clinical practice.
    Language English
    Publishing date 2023-04-27
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2719493-0
    ISSN 2296-4185
    ISSN 2296-4185
    DOI 10.3389/fbioe.2023.1145937
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Latent Dirichlet allocation model for world trade analysis.

    Kozlowski, Diego / Semeshenko, Viktoriya / Molinari, Andrea

    PloS one

    2021  Volume 16, Issue 2, Page(s) e0245393

    Abstract: International trade is one of the classic areas of study in economics. Its empirical analysis is a complex problem, given the amount of products, countries and years. Nowadays, given the availability of data, the tools used for the analysis can be ... ...

    Abstract International trade is one of the classic areas of study in economics. Its empirical analysis is a complex problem, given the amount of products, countries and years. Nowadays, given the availability of data, the tools used for the analysis can be complemented and enriched with new methodologies and techniques that go beyond the traditional approach. This new possibility opens a research gap, as new, data-driven, ways of understanding international trade, can help our understanding of the underlying phenomena. The present paper shows the application of the Latent Dirichlet allocation model, a well known technique in the area of Natural Language Processing, to search for latent dimensions in the product space of international trade, and their distribution across countries over time. We apply this technique to a dataset of countries' exports of goods from 1962 to 2016. The results show that this technique can encode the main specialisation patterns of international trade. On the country-level analysis, the findings show the changes in the specialisation patterns of countries over time. As traditional international trade analysis demands expert knowledge on a multiplicity of indicators, the possibility of encoding multiple known phenomena under a unique indicator is a powerful complement for traditional tools, as it allows top-down data-driven studies.
    MeSH term(s) Commerce/economics ; Databases, Factual/economics ; Humans ; Industry/economics ; International Cooperation ; Models, Statistical ; Natural Language Processing
    Language English
    Publishing date 2021-02-04
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1932-6203
    ISSN (online) 1932-6203
    DOI 10.1371/journal.pone.0245393
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: SARS-CoV-2: The Lombardy scenario in numbers.

    Molinari, Andrea / Pistoia, Federico / Antonelli, Giuditta

    Infection control and hospital epidemiology

    2020  Volume 41, Issue 8, Page(s) 983–984

    MeSH term(s) Betacoronavirus ; COVID-19 ; Coronavirus Infections/mortality ; Hospitalization/statistics & numerical data ; Humans ; Italy/epidemiology ; Pandemics ; Pneumonia, Viral/mortality ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-04-07
    Publishing country United States
    Document type Letter
    ZDB-ID 639378-0
    ISSN 1559-6834 ; 0195-9417 ; 0899-823X
    ISSN (online) 1559-6834
    ISSN 0195-9417 ; 0899-823X
    DOI 10.1017/ice.2020.115
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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