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  • Neuroinformatics
  • 2022-2022

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Weiguang Liu; Peng Sun; Lingling Xia; Xilin He; +5 Authors

    Brain metastases, including prevalent breast-to-brain metastasis (B2BM), represent an urgent unmet medical need in the care of cancer due to a lack of effective therapies. Immune evasion is essential for cancer cells to metastasize to the brain tissue for brain metastasis. However, the intrinsic genetic circuits that enable cancer cells to avoid immune-mediated killing in the brain microenvironment remain poorly understood. Here, we report that a brain-enriched long noncoding RNA (BMOR) expressed in B2BM cells is required for brain metastasis development and is both necessary and sufficient to drive cancer cells to colonize the brain tissue. Mechanistically, BMOR enables cancer cells to evade immune-mediated killing in the brain microenvironment for the development of brain metastasis by binding and inactivating IRF3. In preclinical brain metastasis murine models, locked nucleic acid-BMOR, a designed silencer targeting BMOR, is effective in suppressing the metastatic colonization of cancer cells in the brain for brain metastasis. Taken together, our study reveals a mechanism underlying B2BM immune evasion during cancer cell metastatic colonization of brain tissue for brain metastasis, where B2BM cells evade immune-mediated killing in the brain microenvironment by acquiring a brain-enriched long noncoding RNA genetic feature.

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    Proceedings of the National Academy of Sciences
    Article . 2022 . Peer-reviewed
    License: CC BY NC ND
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Proceedings of the N...arrow_drop_down
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      Proceedings of the National Academy of Sciences
      Article . 2022 . Peer-reviewed
      License: CC BY NC ND
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  • Authors: Billeci, Lucia; Callara, Alejandro Luis; Guiducci, Letizia; Prosperi, Margherita; +4 Authors

    Supplemental material, sj-docx-1-aut-10.1177_13623613221082710 for A randomized controlled trial into the effects of probiotics on electroencephalography in preschoolers with autism by Lucia Billeci, Alejandro Luis Callara, Letizia Guiducci, Margherita Prosperi, Maria Aurora Morales, Sara Calderoni, Filippo Muratori and Elisa Santocchi in Autism

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    Authors: R.K. Daniels; J.B. Mallinson; Z.E. Heywood; P.J. Bones; +2 Authors

    Networks of nanowires are currently being explored for a range of applications in brain-like (or neuromorphic) computing, and especially in reservoir computing (RC). Fabrication of real-world computing devices requires that the nanowires are deposited sequentially, leading to stacking of the wires on top of each other. However, most simulations of computational tasks using these systems treat the nanowires as 1D objects lying in a perfectly 2D plane - the effect of stacking on RC performance has not yet been established. Here we use detailed simulations to compare the performance of perfectly 2D and quasi-3D (stacked) networks of nanowires in two tasks: memory capacity and nonlinear transformation. We also show that our model of the junctions between nanowires is general enough to describe a wide range of memristive networks, and consider the impact of physically realistic electrode configurations on performance. We show that the various networks and configurations have a strikingly similar performance in RC tasks, which is surprising given their radically different topologies. Our results show that networks with an experimentally achievable number of electrodes perform close to the upper bounds achievable when using the information from every wire. However, we also show important differences, in particular that the quasi-3D networks are more resilient to changes in the input parameters, generalizing better to noisy training data. Since previous literature suggests that topology plays an important role in computing performance, these results may have important implications for future applications of nanowire networks in neuromorphic computing.

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    arXiv.org e-Print Archive
    Other literature type . Preprint . 2022
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    Neural Networks
    Article . 2022 . Peer-reviewed
    License: Elsevier TDM
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    https://doi.org/10.48550/arxiv...
    Article . 2022
    License: CC BY NC ND
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      arXiv.org e-Print Archive
      Other literature type . Preprint . 2022
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      Neural Networks
      Article . 2022 . Peer-reviewed
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      https://doi.org/10.48550/arxiv...
      Article . 2022
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  • Authors: Baty-Delalande, Hélène;

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    Authors: Burgos Larraín, Luis Felipe; Vázquez Portela, Álvaro; Cobo Vázquez, Carlos M.; Sáez Alcaide, Luis Miguel; +2 Authors

    Purpose: Odontogenic infections can spread through different routes to more remote anatomical areas, such as the brain. Brain abscesses have an incidence of 0.3−1.3 / 100,000 population and only 2−5% are of dental origin. The main objective is to research brain complications derived from odontogenic infections. Secondary objectives were to identify the most common symptoms in brain abscess, to describe the microbiology involved in these infectious processes, report which parts of the brain complex are most commonly affected and report the sequelae of this patients. Methods: A systematic review following the PRISMA Guide and the Joanna Briggs Institute (JBI) Critical Appraisal Checklist for Case Reports was carried out in PubMed, Scopus and Web of Science. The search terms were: Brain infection, brain abscess, oral health oral origin, odont* infect*. Results: The database search identified a total of 1000 articles. A total of 18 publications were identified after applying inclusion and exclusion criteria. A total of 38 patients were analyzed. Mean age was 49.64§ 18.80 years. Conclusion: The most common symptoms of patients with brain abscess are neurological affectations first and then fever and headache second, without necessarily presenting as a symptomatological triad. Microbiological diagnosis is key to determining the origin of the infection. Anaerobic pathogens such as Streptococcus (F. Milleri), Fusobacterium Nucleatum and Porfiromonas Gingivalis families are common bacterial agents. The frontal lobe is the most frequently affected, followed by the parietal and temporal lobe. The most frequent brain complications are neurological disorders. However, most patients with brain abscesses recover without sequelae.

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    Journal of Stomatology Oral and Maxillofacial Surgery
    Article . 2022 . Peer-reviewed
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      Journal of Stomatology Oral and Maxillofacial Surgery
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    Authors: Nune, Darbinian; Michael E, Selzer;

    The pathology of fetal alcohol syndrome and the less severe fetal alcohol spectrum disorders includes brain dysmyelination. Recent studies have shed light on the molecular mechanisms underlying these white matter abnormalities. Rodent models of fetal alcohol syndrome and human studies have shown suppressed oligodendrocyte differentiation and apoptosis of oligodendrocyte precursor cells. Ethanol exposure led to reduced expression of myelin basic protein and delayed myelin basic protein expression in rat and mouse models of fetal alcohol syndrome and in human histopathological specimens. Several studies have reported increased expression of many chemokines in dysmyelinating disorders in central nervous system, including multiple sclerosis and fetal alcohol syndrome. Acute ethanol exposure reduced levels of the neuroprotective insulin-like growth factor-1 in fetal and maternal sheep and in human fetal brain tissues, while ethanol increased the expression of tumor necrosis factor α in mouse and human neurons. White matter lesions have been induced in the developing sheep brain by alcohol exposure in early gestation. Rat fetal alcohol syndrome models have shown reduced axon diameters, with thinner myelin sheaths, as well as reduced numbers of oligodendrocytes, which were also morphologically aberrant oligodendrocytes. Expressions of markers for mature myelination, including myelin basic protein, also were reduced. The accumulating knowledge concerning the mechanisms of ethanol-induced dysmyelination could lead to the development of strategies to prevent dysmyelination in children exposed to ethanol during fetal development. Future studies using fetal oligodendrocyte- and oligodendrocyte precursor cell-derived exosomes isolated from the mother’s blood may identify biomarkers for fetal alcohol syndrome and even implicate epigenetic changes in early development that affect oligodendrocyte precursor cell and oligodendrocyte function in adulthood. By combining various imaging modalities with molecular studies, it may be possible to determine which fetuses are at risk and to intervene therapeutically early in the pregnancy.

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    Europe PubMed Central
    Article . 2021 . Peer-reviewed
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    Neural Regeneration Research
    Article . 2022 . Peer-reviewed
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      Europe PubMed Central
      Article . 2021 . Peer-reviewed
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      Neural Regeneration Research
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  • Authors: Chelini-Pont, Blandine;

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    Authors: Savary, E.; Rojas, K.; Maus, M.; Clément, B.; +15 Authors

    We present a search for galaxy-scale strong gravitational lenses in the initial 2 500 square degrees of the Canada-France Imaging Survey (CFIS). We designed a convolutional neural network (CNN) committee that we applied to a selection of 2 344 002 exquisite-seeing $r$-band images of color-selected luminous red galaxies (LRGs). Our classification uses a realistic training set where the lensing galaxies and the lensed sources are both taken from real data, namely the CFIS $r$-band images themselves and the Hubble Space Telescope (HST). A total of 9 460 candidates obtain a score above 0.5 with the CNN committee. After a visual inspection of the candidates, we find a total of 133 lens candidates, of which 104 are completely new. The set of false positives mainly contains ring, spiral, and merger galaxies, and to a lesser extent galaxies with nearby companions. We classify 32 of the lens candidates as secure lenses and 101 as maybe lenses. For the 32 highest quality lenses, we also fit a singular isothermal ellipsoid mass profile with external shear along with an elliptical Sersic profile for the lens and source light. This automated modeling step provides distributions of properties for both sources and lenses that have Einstein radii in the range $0.5\arcsec<θ_E<2.5\arcsec$. Finally, we introduce a new lens and/or source single-band deblending algorithm based on auto-encoder representation of our candidates. This is the first time an end-to-end lens-finding and modeling pipeline is assembled together, in view of future lens searches in a single band, as will be possible with Euclid. 29 pages, 21 figures, accepted by A&A, in press

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    Astronomy and Astrophysics
    Article . 2022 . Peer-reviewed
    License: CC BY
    Data sources: Sygma; Crossref
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    arXiv.org e-Print Archive
    Other literature type . Preprint . 2021
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    Other literature type . 2021
    https://doi.org/10.48550/arxiv...
    Article . 2021
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      Astronomy and Astrophysics
      Article . 2022 . Peer-reviewed
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      arXiv.org e-Print Archive
      Other literature type . Preprint . 2021
      Hyper Article en Ligne
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      https://doi.org/10.48550/arxiv...
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    Authors: Shahriar Shahi; Mehdi Farhoudi; Solmaz Maleki Dizaj; Simin Sharifi; +5 Authors

    One of the primary causes of disability and mortality in the adult population worldwide is stroke. A person’s general health is significantly impacted by their oral and dental health. People who have poor oral health are more susceptible to conditions such as stroke. Stroke risk has long been linked to oral and dental conditions. The risk of stroke and its cost impact on the healthcare systems appear to be significantly reduced as a result of the decline in the incidence and prevalence of oral and dental illnesses. Hypothetically, better management of oral hygiene and dental health lead to reduced stroke risk. To the authors’ best knowledge, for the first time, the potential link between dental health and stroke were cross-examined. The most typical stroke symptoms, oral and dental illnesses linked to stroke, and the role of oral healthcare professionals in stroke prevention are revealed. The potential mediating processes and subsequent long-term cognitive and functional neurological outcomes are based on the available literature. It must be noted that periodontal diseases and tooth loss are two common oral health measures. Lack of knowledge on the effects of poor oral health on systemic health together with limited access to primary medical or dental care are considered to be partially responsible for the elevated risk of stroke. Concrete evidence confirming the associations between oral inflammatory conditions and stroke in large cohort prospective studies, stratifying association between oral disease severity and stroke risk and disease effects on stroke survival will be desirable. In terms of clinical pathology, a predictive model of stroke as a function of oral health status, and biomarkers of systemic inflammation could be useful for both cardiologists and dentists.

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    Journal of Clinical Medicine
    Article . 2022 . Peer-reviewed
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    Journal of Clinical Medicine
    Article . 2022
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      Journal of Clinical Medicine
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      Journal of Clinical Medicine
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  • Authors: Wichers Schreur, Jesse; Allassonnière-Tang, Marc; Bellamy, Kate; Rochant, Neige;
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    Authors: Weiguang Liu; Peng Sun; Lingling Xia; Xilin He; +5 Authors

    Brain metastases, including prevalent breast-to-brain metastasis (B2BM), represent an urgent unmet medical need in the care of cancer due to a lack of effective therapies. Immune evasion is essential for cancer cells to metastasize to the brain tissue for brain metastasis. However, the intrinsic genetic circuits that enable cancer cells to avoid immune-mediated killing in the brain microenvironment remain poorly understood. Here, we report that a brain-enriched long noncoding RNA (BMOR) expressed in B2BM cells is required for brain metastasis development and is both necessary and sufficient to drive cancer cells to colonize the brain tissue. Mechanistically, BMOR enables cancer cells to evade immune-mediated killing in the brain microenvironment for the development of brain metastasis by binding and inactivating IRF3. In preclinical brain metastasis murine models, locked nucleic acid-BMOR, a designed silencer targeting BMOR, is effective in suppressing the metastatic colonization of cancer cells in the brain for brain metastasis. Taken together, our study reveals a mechanism underlying B2BM immune evasion during cancer cell metastatic colonization of brain tissue for brain metastasis, where B2BM cells evade immune-mediated killing in the brain microenvironment by acquiring a brain-enriched long noncoding RNA genetic feature.

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    Proceedings of the National Academy of Sciences
    Article . 2022 . Peer-reviewed
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      Proceedings of the National Academy of Sciences
      Article . 2022 . Peer-reviewed
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  • Authors: Billeci, Lucia; Callara, Alejandro Luis; Guiducci, Letizia; Prosperi, Margherita; +4 Authors

    Supplemental material, sj-docx-1-aut-10.1177_13623613221082710 for A randomized controlled trial into the effects of probiotics on electroencephalography in preschoolers with autism by Lucia Billeci, Alejandro Luis Callara, Letizia Guiducci, Margherita Prosperi, Maria Aurora Morales, Sara Calderoni, Filippo Muratori and Elisa Santocchi in Autism

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    Authors: R.K. Daniels; J.B. Mallinson; Z.E. Heywood; P.J. Bones; +2 Authors

    Networks of nanowires are currently being explored for a range of applications in brain-like (or neuromorphic) computing, and especially in reservoir computing (RC). Fabrication of real-world computing devices requires that the nanowires are deposited sequentially, leading to stacking of the wires on top of each other. However, most simulations of computational tasks using these systems treat the nanowires as 1D objects lying in a perfectly 2D plane - the effect of stacking on RC performance has not yet been established. Here we use detailed simulations to compare the performance of perfectly 2D and quasi-3D (stacked) networks of nanowires in two tasks: memory capacity and nonlinear transformation. We also show that our model of the junctions between nanowires is general enough to describe a wide range of memristive networks, and consider the impact of physically realistic electrode configurations on performance. We show that the various networks and configurations have a strikingly similar performance in RC tasks, which is surprising given their radically different topologies. Our results show that networks with an experimentally achievable number of electrodes perform close to the upper bounds achievable when using the information from every wire. However, we also show important differences, in particular that the quasi-3D networks are more resilient to changes in the input parameters, generalizing better to noisy training data. Since previous literature suggests that topology plays an important role in computing performance, these results may have important implications for future applications of nanowire networks in neuromorphic computing.

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    arXiv.org e-Print Archive
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    Neural Networks
    Article . 2022 . Peer-reviewed
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    https://doi.org/10.48550/arxiv...
    Article . 2022
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      Other literature type . Preprint . 2022
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      Neural Networks
      Article . 2022 . Peer-reviewed
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  • Authors: Baty-Delalande, Hélène;

    International audience

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    Authors: Burgos Larraín, Luis Felipe; Vázquez Portela, Álvaro; Cobo Vázquez, Carlos M.; Sáez Alcaide, Luis Miguel; +2 Authors

    Purpose: Odontogenic infections can spread through different routes to more remote anatomical areas, such as the brain. Brain abscesses have an incidence of 0.3−1.3 / 100,000 population and only 2−5% are of dental origin. The main objective is to research brain complications derived from odontogenic infections. Secondary objectives were to identify the most common symptoms in brain abscess, to describe the microbiology involved in these infectious processes, report which parts of the brain complex are most commonly affected and report the sequelae of this patients. Methods: A systematic review following the PRISMA Guide and the Joanna Briggs Institute (JBI) Critical Appraisal Checklist for Case Reports was carried out in PubMed, Scopus and Web of Science. The search terms were: Brain infection, brain abscess, oral health oral origin, odont* infect*. Results: The database search identified a total of 1000 articles. A total of 18 publications were identified after applying inclusion and exclusion criteria. A total of 38 patients were analyzed. Mean age was 49.64§ 18.80 years. Conclusion: The most common symptoms of patients with brain abscess are neurological affectations first and then fever and headache second, without necessarily presenting as a symptomatological triad. Microbiological diagnosis is key to determining the origin of the infection. Anaerobic pathogens such as Streptococcus (F. Milleri), Fusobacterium Nucleatum and Porfiromonas Gingivalis families are common bacterial agents. The frontal lobe is the most frequently affected, followed by the parietal and temporal lobe. The most frequent brain complications are neurological disorders. However, most patients with brain abscesses recover without sequelae.

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    Journal of Stomatology Oral and Maxillofacial Surgery
    Article . 2022 . Peer-reviewed
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      Journal of Stomatology Oral and Maxillofacial Surgery
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    Authors: Nune, Darbinian; Michael E, Selzer;

    The pathology of fetal alcohol syndrome and the less severe fetal alcohol spectrum disorders includes brain dysmyelination. Recent studies have shed light on the molecular mechanisms underlying these white matter abnormalities. Rodent models of fetal alcohol syndrome and human studies have shown suppressed oligodendrocyte differentiation and apoptosis of oligodendrocyte precursor cells. Ethanol exposure led to reduced expression of myelin basic protein and delayed myelin basic protein expression in rat and mouse models of fetal alcohol syndrome and in human histopathological specimens. Several studies have reported increased expression of many chemokines in dysmyelinating disorders in central nervous system, including multiple sclerosis and fetal alcohol syndrome. Acute ethanol exposure reduced levels of the neuroprotective insulin-like growth factor-1 in fetal and maternal sheep and in human fetal brain tissues, while ethanol increased the expression of tumor necrosis factor α in mouse and human neurons. White matter lesions have been induced in the developing sheep brain by alcohol exposure in early gestation. Rat fetal alcohol syndrome models have shown reduced axon diameters, with thinner myelin sheaths, as well as reduced numbers of oligodendrocytes, which were also morphologically aberrant oligodendrocytes. Expressions of markers for mature myelination, including myelin basic protein, also were reduced. The accumulating knowledge concerning the mechanisms of ethanol-induced dysmyelination could lead to the development of strategies to prevent dysmyelination in children exposed to ethanol during fetal development. Future studies using fetal oligodendrocyte- and oligodendrocyte precursor cell-derived exosomes isolated from the mother’s blood may identify biomarkers for fetal alcohol syndrome and even implicate epigenetic changes in early development that affect oligodendrocyte precursor cell and oligodendrocyte function in adulthood. By combining various imaging modalities with molecular studies, it may be possible to determine which fetuses are at risk and to intervene therapeutically early in the pregnancy.

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    Europe PubMed Central
    Article . 2021 . Peer-reviewed
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    Neural Regeneration Research
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      Europe PubMed Central
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      Neural Regeneration Research
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  • Authors: Chelini-Pont, Blandine;

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    Authors: Savary, E.; Rojas, K.; Maus, M.; Clément, B.; +15 Authors

    We present a search for galaxy-scale strong gravitational lenses in the initial 2 500 square degrees of the Canada-France Imaging Survey (CFIS). We designed a convolutional neural network (CNN) committee that we applied to a selection of 2 344 002 exquisite-seeing $r$-band images of color-selected luminous red galaxies (LRGs). Our classification uses a realistic training set where the lensing galaxies and the lensed sources are both taken from real data, namely the CFIS $r$-band images themselves and the Hubble Space Telescope (HST). A total of 9 460 candidates obtain a score above 0.5 with the CNN committee. After a visual inspection of the candidates, we find a total of 133 lens candidates, of which 104 are completely new. The set of false positives mainly contains ring, spiral, and merger galaxies, and to a lesser extent galaxies with nearby companions. We classify 32 of the lens candidates as secure lenses and 101 as maybe lenses. For the 32 highest quality lenses, we also fit a singular isothermal ellipsoid mass profile with external shear along with an elliptical Sersic profile for the lens and source light. This automated modeling step provides distributions of properties for both sources and lenses that have Einstein radii in the range $0.5\arcsec<θ_E<2.5\arcsec$. Finally, we introduce a new lens and/or source single-band deblending algorithm based on auto-encoder representation of our candidates. This is the first time an end-to-end lens-finding and modeling pipeline is assembled together, in view of future lens searches in a single band, as will be possible with Euclid. 29 pages, 21 figures, accepted by A&A, in press

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    Astronomy and Astrophysics
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    arXiv.org e-Print Archive
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    https://doi.org/10.48550/arxiv...
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      Astronomy and Astrophysics
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    Authors: Shahriar Shahi; Mehdi Farhoudi; Solmaz Maleki Dizaj; Simin Sharifi; +5 Authors

    One of the primary causes of disability and mortality in the adult population worldwide is stroke. A person’s general health is significantly impacted by their oral and dental health. People who have poor oral health are more susceptible to conditions such as stroke. Stroke risk has long been linked to oral and dental conditions. The risk of stroke and its cost impact on the healthcare systems appear to be significantly reduced as a result of the decline in the incidence and prevalence of oral and dental illnesses. Hypothetically, better management of oral hygiene and dental health lead to reduced stroke risk. To the authors’ best knowledge, for the first time, the potential link between dental health and stroke were cross-examined. The most typical stroke symptoms, oral and dental illnesses linked to stroke, and the role of oral healthcare professionals in stroke prevention are revealed. The potential mediating processes and subsequent long-term cognitive and functional neurological outcomes are based on the available literature. It must be noted that periodontal diseases and tooth loss are two common oral health measures. Lack of knowledge on the effects of poor oral health on systemic health together with limited access to primary medical or dental care are considered to be partially responsible for the elevated risk of stroke. Concrete evidence confirming the associations between oral inflammatory conditions and stroke in large cohort prospective studies, stratifying association between oral disease severity and stroke risk and disease effects on stroke survival will be desirable. In terms of clinical pathology, a predictive model of stroke as a function of oral health status, and biomarkers of systemic inflammation could be useful for both cardiologists and dentists.

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    Journal of Clinical Medicine
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    Journal of Clinical Medicine
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      Journal of Clinical Medicine
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      Journal of Clinical Medicine
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  • Authors: Wichers Schreur, Jesse; Allassonnière-Tang, Marc; Bellamy, Kate; Rochant, Neige;
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