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  1. Book ; Online: Texture and Colour in Image Analysis

    Bianconi, Francesco / Fernández, Antonio / Sánchez-Yáñez, Raúl E. / Fernández, Antonio

    2021  

    Keywords Information technology industries ; Machine vision ; image analysis ; item counting device ; electro-deposition industry ; digital intraoral radiography ; image preprocessing ; periapical lesions ; texture analysis ; prostate cancer ; histopathology ; microscopic ; tissue image ; segmentation ; morphological ; quantitative ; classification ; SVM ; image resizing ; local Tchebichef moments (LTM) ; scaling ; scale-and-stretch ; seam carving ; faster R-CNN ; cutting pieces ; multi-period pattern ; skew angle ; period length ; colored texture pattern classification ; global-local texture classification ; color-texture features ; color-texture feature extraction ; bagging post-processing ; BQMP and Haralick global-local feature integration ; maceral components ; image segmentation ; coal petrography ; random forest ; two-level clustering ; deep neural networks ; adaptive gradient methods ; stochastic gradient descent ; bounded scheduling method ; image classification ; language modeling ; texture ; deep learning ; MB-LBP ; surface defect detection ; feature extraction ; defect recognition ; mammogram ; meta-heuristics ; optimization ; breast cancer ; detection ; skin microrelief ; water sorption ; aging ; hair ; mathematics of colour and texture ; hand-designed image descriptors ; rank features ; partial orders ; river scene segmentation ; local binary pattern ; hue variance ; surface reflection ; audio classification ; dissimilarity space ; siamese network ; ensemble of classifiers ; pattern recognition ; animal audio ; co-saliency ; omnidirectional images ; video saliency ; visual saliency estimation ; n/a
    Size 1 electronic resource (278 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Publishing place Basel, Switzerland
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021291261
    ISBN 9783036513775 ; 3036513779
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online: From Quantum Paraelectric/Ferroelectric Perovskite Oxides to High Temperature Superconducting Copper Oxides -- In Honor of Professor K.A. Müller for His Lifework

    Bussmann-Holder, Annette / Keller, Hugo / Bianconi, Antonio

    2021  

    Keywords Research & information: general ; Mathematics & science ; ferroelastic ; WO3 ; polarons ; polaronic superconductivity ; transition metal dichalcogenides ; magnetic semiconductor spintronics ; n/a ; transition metal oxides ; lattice-spin-charge landscapes ; elasticity ; superconductivity ; cuprates ; magnetic penetration depth ; order parameter ; superconducting gap structure ; Kondo effect ; spin relaxation rate ; magnetic resonance ; strontium titanate ; quantum paraelectricity ; quantum fluctuations ; ferroelectricity ; isotope exchange ; external stress ; polar metal ; phase coexistence ; magnetoelectric multiglass ; Electron Paramagnetic Resonance (EPR) ; ENDOR ; Jahn-Teller ; color centers ; 3d impurities ; perovskite ; SrTiO3 ; 18O ; isotope substitution ; SrTiO3/LaAlO3 ; interface ; heterostructure ; tungsten oxide ; phase separation ; cuprate superconductors ; electronic correlations ; NMR ; pseudogap ; perovskite crystals ; Pseudo-Jahn-Teller effect ; multiferroicity ; permittivity ; flexoelectricity ; polar nanoregions ; orientational polarization ; LSCO ; anti-Jahn-Teller effect ; first-principles calculation ; Kamimura-Suwa model ; spin-polarized band ; Hund's coupling spin-triplet and spin-singlet multiplets ; high-temperature superconductivity ; correlated Femi liquid ; charge density wave ; fluctuation ; strange metal ; coherence length ; granular superconductivity ; Mott transition ; BCS-BEC cross-over ; electron-phonon interaction ; topological insulator ; topological materials ; transition metal dichalcogenide ; helium atom scattering ; perovskite oxides ; phase transitions ; high-temperature cuprate superconductors
    Size 1 electronic resource (312 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Publishing place Basel, Switzerland
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021043880
    ISBN 9783036504759 ; 3036504753
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Article: Periodic recurrent waves of Covid-19 epidemics and vaccination campaign.

    Campi, Gaetano / Bianconi, Antonio

    Chaos, solitons, and fractals

    2022  Volume 160, Page(s) 112216

    Abstract: While understanding of periodic recurrent waves of Covid- ... ...

    Abstract While understanding of periodic recurrent waves of Covid-19
    Language English
    Publishing date 2022-05-18
    Publishing country England
    Document type Journal Article
    ZDB-ID 2003919-0
    ISSN 1873-2887 ; 0960-0779
    ISSN (online) 1873-2887
    ISSN 0960-0779
    DOI 10.1016/j.chaos.2022.112216
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Sars-Cov2 world pandemic recurrent waves controlled by variants evolution and vaccination campaign.

    Campi, Gaetano / Perali, Andrea / Marcelli, Augusto / Bianconi, Antonio

    Scientific reports

    2022  Volume 12, Issue 1, Page(s) 18108

    Abstract: While understanding the time evolution of Covid-19 pandemic is needed to plan economics and tune sanitary policies, a quantitative information of the recurrent epidemic waves is elusive. This work describes a statistical physics study of the subsequent ... ...

    Abstract While understanding the time evolution of Covid-19 pandemic is needed to plan economics and tune sanitary policies, a quantitative information of the recurrent epidemic waves is elusive. This work describes a statistical physics study of the subsequent waves in the epidemic spreading of Covid-19 and disclose the frequency components of the epidemic waves pattern over two years in United States, United Kingdom and Japan. These countries have been taken as representative cases of different containment policies such as "Mitigation" (USA and UK) and "Zero Covid" (Japan) policies. The supercritical phases in spreading have been identified by intervals with RIC-index > 0. We have used the wavelet transform of infection and fatality waves to get the spectral analysis showing a dominant component around 130 days. Data of the world dynamic clearly indicates also the crossover to a different phase due to the enforcement of vaccination campaign. In Japan and United Kingdom, we observed the emergence in the infection waves of a long period component (~ 170 days) during vaccination campaign. These results indicate slowing down of the epidemic spreading dynamics due to the vaccination campaign. Finally, we find an intrinsic difference between infection and fatality waves pointing to a non-trivial variation of the lethality due to different gene variants.
    MeSH term(s) United States ; Humans ; Pandemics ; COVID-19/epidemiology ; COVID-19/prevention & control ; RNA, Viral ; SARS-CoV-2/genetics ; Immunization Programs ; Vaccination
    Chemical Substances RNA, Viral
    Language English
    Publishing date 2022-10-27
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-22816-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Book ; Online: Periodic recurrent waves of Covid-19 epidemics and vaccination campaign

    Campi, Gaetano / Bianconi, Antonio

    2022  

    Abstract: While understanding of periodic recurrent waves of Covid-19 epidemics would aid to combat the pandemics, quantitative analysis of data over a two years period from the outbreak, is lacking. The complexity of Covid-19 recurrent waves is related with the ... ...

    Abstract While understanding of periodic recurrent waves of Covid-19 epidemics would aid to combat the pandemics, quantitative analysis of data over a two years period from the outbreak, is lacking. The complexity of Covid-19 recurrent waves is related with the concurrent role of i) the containment measures enforced to mitigate the epidemics spreading ii) the rate of viral gene mutations, and iii) the variable immune response of the host implemented by vaccination. This work focuses on the effect of massive vaccination and gene variants on the recurrent waves in a representative case of countries enforcing mitigation and vaccination strategy. The spreading rate is measured by the ratio between the reproductive number Rt(t) and the doubling time Td(t) called RIC-index and the daily fatalities number. The dynamics of the Covid-19 epidemics has been studied by wavelet analysis and represented by a non-linear helicoid vortex in a 3D space where both RIC-index and fatalities change with time. The onset of periodic recurrent waves has been identified by the transition from convergent to divergent trajectories on the helicoid vortex. We report a main period of recurrent waves of 120 days and the elongation of this period after the vaccination campaign

    Comment: 15 pages, 3 figures
    Keywords Quantitative Biology - Populations and Evolution ; Physics - Physics and Society
    Subject code 551
    Publishing date 2022-01-18
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Un presepio di Giovanni Antonio Vanoni

    Bianconi, Piero

    Folklore suisse : bulletin de la Société suisse des traditions populaires = Folclore svizzero : bollettino della Società svizzera per le tradizioni popolari ; 505984-7 ; 0015-5969 ; 58-59 ; 1968-1969 ; 73

    1968  

    Publisher Société suisse des traditions populaires
    Publishing country ch
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Epidemic spreading in an expanded parameter space: the supercritical scaling laws and subcritical metastable phases.

    Campi, Gaetano / Valletta, Antonio / Perali, Andrea / Marcelli, Augusto / Bianconi, Antonio

    Physical biology

    2021  Volume 18, Issue 4

    Abstract: While the mathematical laws of uncontrolled epidemic spreading are well known, the statistical physics of coronavirus epidemics with containment measures is currently lacking. The modelling of available data of the first wave of the Covid-19 pandemic in ... ...

    Abstract While the mathematical laws of uncontrolled epidemic spreading are well known, the statistical physics of coronavirus epidemics with containment measures is currently lacking. The modelling of available data of the first wave of the Covid-19 pandemic in 2020 over 230 days, in different countries representative of different containment policies is relevant to quantify the efficiency of these policies to face the containment of any successive wave. At this aim we have built a 3D phase diagram tracking the simultaneous evolution and the interplay of the doubling time,
    MeSH term(s) COVID-19/epidemiology ; Computer Simulation ; Humans ; Models, Biological ; Pandemics ; SARS-CoV-2/drug effects ; Time Factors
    Language English
    Publishing date 2021-06-21
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2133216-2
    ISSN 1478-3975 ; 1478-3967
    ISSN (online) 1478-3975
    ISSN 1478-3967
    DOI 10.1088/1478-3975/ac059d
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Design, synthesis, and biological evaluation of first-in-class indomethacin-based PROTACs degrading SARS-CoV-2 main protease and with broad-spectrum antiviral activity.

    Desantis, Jenny / Bazzacco, Alessandro / Eleuteri, Michela / Tuci, Sara / Bianconi, Elisa / Macchiarulo, Antonio / Mercorelli, Beatrice / Loregian, Arianna / Goracci, Laura

    European journal of medicinal chemistry

    2024  Volume 268, Page(s) 116202

    Abstract: To date, Proteolysis Targeting Chimera (PROTAC) technology has been successfully applied to mediate proteasomal-induced degradation of several pharmaceutical targets mainly related to oncology, immune disorders, and neurodegenerative diseases. On the ... ...

    Abstract To date, Proteolysis Targeting Chimera (PROTAC) technology has been successfully applied to mediate proteasomal-induced degradation of several pharmaceutical targets mainly related to oncology, immune disorders, and neurodegenerative diseases. On the other hand, its exploitation in the field of antiviral drug discovery is still in its infancy. Recently, we described two indomethacin (INM)-based PROTACs displaying broad-spectrum antiviral activity against coronaviruses. Here, we report the design, synthesis, and characterization of a novel series of INM-based PROTACs that recruit either Von-Hippel Lindau (VHL) or cereblon (CRBN) E3 ligases. The panel of INM-based PROTACs was also enlarged by varying the linker moiety. The antiviral activity resulted very susceptible to this modification, particularly for PROTACs hijacking VHL as E3 ligase, with one piperazine-based compound (PROTAC 6) showing potent anti-SARS-CoV-2 activity in infected human lung cells. Interestingly, degradation assays in both uninfected and virus-infected cells with the most promising PROTACs emerged so far (PROTACs 5 and 6) demonstrated that INM-PROTACs do not degrade human PGES-2 protein, as initially hypothesized, but induce the concentration-dependent degradation of SARS-CoV-2 main protease (M
    MeSH term(s) Humans ; Proteolysis ; Proteolysis Targeting Chimera ; COVID-19 ; SARS-CoV-2/metabolism ; Ubiquitin-Protein Ligases/metabolism ; Antiviral Agents/pharmacology ; Coronavirus 3C Proteases
    Chemical Substances 3C-like proteinase, SARS-CoV-2 (EC 3.4.22.-) ; Proteolysis Targeting Chimera ; Ubiquitin-Protein Ligases (EC 2.3.2.27) ; Antiviral Agents ; Coronavirus 3C Proteases (EC 3.4.22.28)
    Language English
    Publishing date 2024-02-06
    Publishing country France
    Document type Journal Article
    ZDB-ID 188597-2
    ISSN 1768-3254 ; 0009-4374 ; 0223-5234
    ISSN (online) 1768-3254
    ISSN 0009-4374 ; 0223-5234
    DOI 10.1016/j.ejmech.2024.116202
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Colour and Texture Descriptors for Visual Recognition: A Historical Overview.

    Bianconi, Francesco / Fernández, Antonio / Smeraldi, Fabrizio / Pascoletti, Giulia

    Journal of imaging

    2021  Volume 7, Issue 11

    Abstract: Colour and texture are two perceptual stimuli that determine, to a great extent, the appearance of objects, materials and scenes. The ability to process texture and colour is a fundamental skill in humans as well as in animals; therefore, reproducing ... ...

    Abstract Colour and texture are two perceptual stimuli that determine, to a great extent, the appearance of objects, materials and scenes. The ability to process texture and colour is a fundamental skill in humans as well as in animals; therefore, reproducing such capacity in artificial ('intelligent') systems has attracted considerable research attention since the early 70s. Whereas the main approach to the problem was essentially theory-driven ('hand-crafted') up to not long ago, in recent years the focus has moved towards data-driven solutions (deep learning). In this overview we retrace the key ideas and methods that have accompanied the evolution of colour and texture analysis over the last five decades, from the 'early years' to convolutional networks. Specifically, we review geometric, differential, statistical and rank-based approaches. Advantages and disadvantages of traditional methods vs. deep learning are also critically discussed, including a perspective on which traditional methods have already been subsumed by deep learning or would be feasible to integrate in a data-driven approach.
    Language English
    Publishing date 2021-11-19
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2824270-1
    ISSN 2313-433X ; 2313-433X
    ISSN (online) 2313-433X
    ISSN 2313-433X
    DOI 10.3390/jimaging7110245
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Sars-Cov2 world pandemic recurrent waves controlled by variants evolution and vaccination campaign

    Gaetano Campi / Andrea Perali / Augusto Marcelli / Antonio Bianconi

    Scientific Reports, Vol 12, Iss 1, Pp 1-

    2022  Volume 9

    Abstract: Abstract While understanding the time evolution of Covid-19 pandemic is needed to plan economics and tune sanitary policies, a quantitative information of the recurrent epidemic waves is elusive. This work describes a statistical physics study of the ... ...

    Abstract Abstract While understanding the time evolution of Covid-19 pandemic is needed to plan economics and tune sanitary policies, a quantitative information of the recurrent epidemic waves is elusive. This work describes a statistical physics study of the subsequent waves in the epidemic spreading of Covid-19 and disclose the frequency components of the epidemic waves pattern over two years in United States, United Kingdom and Japan. These countries have been taken as representative cases of different containment policies such as "Mitigation" (USA and UK) and "Zero Covid" (Japan) policies. The supercritical phases in spreading have been identified by intervals with RIC-index > 0. We have used the wavelet transform of infection and fatality waves to get the spectral analysis showing a dominant component around 130 days. Data of the world dynamic clearly indicates also the crossover to a different phase due to the enforcement of vaccination campaign. In Japan and United Kingdom, we observed the emergence in the infection waves of a long period component (~ 170 days) during vaccination campaign. These results indicate slowing down of the epidemic spreading dynamics due to the vaccination campaign. Finally, we find an intrinsic difference between infection and fatality waves pointing to a non-trivial variation of the lethality due to different gene variants.
    Keywords Medicine ; R ; Science ; Q
    Subject code 950
    Language English
    Publishing date 2022-10-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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