LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 161

Search options

  1. Article ; Online: Free dentures in India.

    Math, M V / Math, S M

    British dental journal

    2022  Volume 233, Issue 2, Page(s) 70

    MeSH term(s) Dentures ; India ; Surveys and Questionnaires
    Language English
    Publishing date 2022-07-22
    Publishing country England
    Document type Letter
    ZDB-ID 218090-x
    ISSN 1476-5373 ; 0007-0610
    ISSN (online) 1476-5373
    ISSN 0007-0610
    DOI 10.1038/s41415-022-4521-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: Postmenopausal Osteoporosis.

    Thumbigere-Math, Vivek / Somerman, Martha

    The New England journal of medicine

    2024  Volume 390, Issue 7, Page(s) 674–675

    MeSH term(s) Female ; Humans ; Osteoporosis, Postmenopausal/drug therapy ; Bone Density
    Language English
    Publishing date 2024-02-14
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 207154-x
    ISSN 1533-4406 ; 0028-4793
    ISSN (online) 1533-4406
    ISSN 0028-4793
    DOI 10.1056/NEJMc2314624
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article ; Online: Enhanced rendering-based approach for improved quality of instance segmentation in detecting green gram (Vigna Rediata) pods

    Nagaraj V. Dharwadkar / RajinderKumar M. Math

    Smart Agricultural Technology, Vol 7, Iss , Pp 100386- (2024)

    1481  

    Abstract: The emergence of Artificial Intelligence, deep learning, and current computer vision algorithms are the main contributors to innovations in the agricultural domain. The most recent detection algorithms capable of giving real-time detections at the edge ... ...

    Abstract The emergence of Artificial Intelligence, deep learning, and current computer vision algorithms are the main contributors to innovations in the agricultural domain. The most recent detection algorithms capable of giving real-time detections at the edge nodes tackle most agricultural problems, such as disease, pest or insect detections, and maturity level detection of crops (fruits and vegetables). Modern harvesters and fruit-picking robots rely heavily on the detection capability of the algorithms used. Various detection algorithms have been proposed and used in literature, having good performance in terms of mean average precision. Still, the current agricultural systems require not only high mean average accuracy but also algorithms should have high inference speeds. The research proposes a Detectron2-based framework with PointRend (Point-based Rendering), capable of providing enhanced, high-quality pixel-level instance segmentation in identifying and detecting green gram pods or Mung Bean (Vigna Radiata) in natural field conditions rendering crisp and smooth boundaries for accurately locating the green gram pods. The results indicate that the proposed framework outperforms the famous Mask R-CNN model to obtain higher mean average precision and improved quality of detections.
    Keywords Object detection ; Detectron2 ; Pointrend ; Green gram pods ; Instance segmentation ; Agriculture (General) ; S1-972 ; Agricultural industries ; HD9000-9495
    Subject code 006
    Language English
    Publishing date 2024-03-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  4. Article ; Online: Deep recurrent Gaussian Nesterovs recommendation using multi-agent in social networks.

    Tapaskar, Vinita / Math, Mallikarjun M

    Evolving systems

    2022  Volume 13, Issue 3, Page(s) 435–452

    Abstract: Due to increasing volume of big data the high volume of information in Social Network put a stop to users from acquiring serviceable information intelligently so many recommendation systems have emerged. Multi-agent Deep Learning gains rapid attraction, ... ...

    Abstract Due to increasing volume of big data the high volume of information in Social Network put a stop to users from acquiring serviceable information intelligently so many recommendation systems have emerged. Multi-agent Deep Learning gains rapid attraction, and the latest accomplishments address problems with real-world complexity. With big data precise recommendation has yet to be answered. In proposed work Deep Recurrent Gaussian Nesterov's Optimal Gradient (DR-GNOG) that combines deep learning with a multi-agent scenario for optimal and precise recommendation. The DR-GNOG is split into three layers, an input layer, two hidden layers and an output layer. The tweets obtained from the users are provided to the input layer by the Tweet Accumulator Agent. Then, in the first hidden layer, Tweet Classifier Agent performs optimized and relevant tweet classification by means of Gaussian Nesterov's Optimal Gradient model. In the second layer, a Deep Recurrent Predictive Recommendation model is designed to concentrate on the vanishing gradient issue arising due to updated tweets obtained from same user at different time instance. Finally, with the aid of hyperbolic activation function in the output layer, building block of the predictive recommendation is obtained. In the experimental study the proposed method is found better than existing GANCF and Bootstrapping method 13-21% in case of recommendation accuracy, 22-32% better in recommendation time and 15-22% better in recall rate.
    Language English
    Publishing date 2022-04-09
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2561630-4
    ISSN 1868-6486 ; 1868-6478
    ISSN (online) 1868-6486
    ISSN 1868-6478
    DOI 10.1007/s12530-022-09435-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article: Bizarre Parosteal Osteochondromatous Proliferation (Nora's Lesion) Affecting Carpal Bones of the Hand in a Middle-Aged Female: A Case Report.

    Tiwari, Vivek / Dwidmuthe, Samir / Bhikshavarthi Math, Suhas Aradhya / Roy, Mainak / Chaudhari, Sachin R

    Cureus

    2024  Volume 16, Issue 3, Page(s) e56772

    Abstract: A 45-year-old woman complained of left wrist pain and swelling for two years accompanied by limited dorsiflexion. Plain X-rays revealed an abnormal bony mass in the carpal bones, further evaluated using computed tomography and magnetic resonance imaging. ...

    Abstract A 45-year-old woman complained of left wrist pain and swelling for two years accompanied by limited dorsiflexion. Plain X-rays revealed an abnormal bony mass in the carpal bones, further evaluated using computed tomography and magnetic resonance imaging. Upon confirmation of the benign nature surgical excisional biopsy of the lesion, the histopathology confirmed the diagnosis of Bizarre parosteal osteochondromatous proliferation (BPOP). The patient has remained pain-free and actively involved in her routine for the past two years. BPOP, affecting the carpal bones of the hand, are exceptionally rare occurrence. Attentive preoperative evaluation helps in diagnosis and to initiate measures to avoid recurrence.
    Language English
    Publishing date 2024-03-23
    Publishing country United States
    Document type Case Reports
    ZDB-ID 2747273-5
    ISSN 2168-8184
    ISSN 2168-8184
    DOI 10.7759/cureus.56772
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  6. Article ; Online: Effect of Periodontitis and Periodontal Therapy on Oral and Gut Microbiota.

    Baima, G / Ferrocino, I / Del Lupo, V / Colonna, E / Thumbigere-Math, V / Caviglia, G P / Franciosa, I / Mariani, G M / Romandini, M / Ribaldone, D G / Romano, F / Aimetti, M

    Journal of dental research

    2024  Volume 103, Issue 4, Page(s) 359–368

    Abstract: Mounting evidence indicates that periodontitis-related oral bacteria may contribute to gut microbial dysbiosis. This clinical study aimed to explore the oral-gut microbial signatures associated with periodontitis and to longitudinally evaluate the effect ...

    Abstract Mounting evidence indicates that periodontitis-related oral bacteria may contribute to gut microbial dysbiosis. This clinical study aimed to explore the oral-gut microbial signatures associated with periodontitis and to longitudinally evaluate the effect of periodontal treatment on the oral and gut microbial composition. Stool and saliva samples from generalized stage III/IV periodontitis patients (
    MeSH term(s) Humans ; Gastrointestinal Microbiome ; Dysbiosis ; RNA, Ribosomal, 16S/genetics ; Periodontitis/microbiology ; Microbiota/genetics
    Chemical Substances RNA, Ribosomal, 16S
    Language English
    Publishing date 2024-02-16
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80207-4
    ISSN 1544-0591 ; 0022-0345
    ISSN (online) 1544-0591
    ISSN 0022-0345
    DOI 10.1177/00220345231222800
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article ; Online: Olive oil for dental caries.

    Math, M V / Kattimani, Y R / Gawali, S R

    British dental journal

    2020  Volume 229, Issue 2, Page(s) 73–74

    MeSH term(s) Adult ; Cross-Sectional Studies ; Dental Caries/prevention & control ; Exercise ; Humans ; Olive Oil ; Oral Health ; Self Report
    Chemical Substances Olive Oil
    Language English
    Publishing date 2020-07-24
    Publishing country England
    Document type Letter ; Comment
    ZDB-ID 218090-x
    ISSN 1476-5373 ; 0007-0610
    ISSN (online) 1476-5373
    ISSN 0007-0610
    DOI 10.1038/s41415-020-1944-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  8. Article ; Online: Copper water swishing.

    Math, M V / Kattimani, Y R / Khadkikar, R M

    British dental journal

    2019  Volume 226, Issue 10, Page(s) 718

    MeSH term(s) Copper ; Diabetes Mellitus ; Humans ; Mouthwashes ; Water
    Chemical Substances Mouthwashes ; Water (059QF0KO0R) ; Copper (789U1901C5)
    Language English
    Publishing date 2019-05-21
    Publishing country England
    Document type Letter ; Comment
    ZDB-ID 218090-x
    ISSN 1476-5373 ; 0007-0610
    ISSN (online) 1476-5373
    ISSN 0007-0610
    DOI 10.1038/s41415-019-0381-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  9. Article ; Online: Plant products in reducing spread of coronavirus infection (COVID-19).

    Math, M V / Kattimani, Y R / Gadda, R B / Khadkikar, R M

    The British journal of oral & maxillofacial surgery

    2020  Volume 59, Issue 4, Page(s) 497–498

    MeSH term(s) COVID-19 ; Coronavirus Infections/epidemiology ; Coronavirus Infections/prevention & control ; Dentistry ; Humans ; Mouthwashes ; SARS-CoV-2
    Chemical Substances Mouthwashes
    Language English
    Publishing date 2020-11-17
    Publishing country Scotland
    Document type Letter ; Comment
    ZDB-ID 605685-4
    ISSN 1532-1940 ; 0266-4356
    ISSN (online) 1532-1940
    ISSN 0266-4356
    DOI 10.1016/j.bjoms.2020.11.005
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  10. Article ; Online: Nociceptor Neurons Magnify Host Responses to Aggravate Periodontitis.

    Wang, S / Nie, X / Siddiqui, Y / Wang, X / Arora, V / Fan, X / Thumbigere-Math, V / Chung, M K

    Journal of dental research

    2022  Volume 101, Issue 7, Page(s) 812–820

    Abstract: Periodontitis is a highly prevalent chronic inflammatory disease that progressively destroys the structures supporting teeth, leading to tooth loss. Periodontal tissue is innervated by abundant pain-sensing primary afferents expressing neuropeptides and ... ...

    Abstract Periodontitis is a highly prevalent chronic inflammatory disease that progressively destroys the structures supporting teeth, leading to tooth loss. Periodontal tissue is innervated by abundant pain-sensing primary afferents expressing neuropeptides and transient receptor potential vanilloid 1 (TRPV1). However, the roles of nociceptive nerves in periodontitis and bone destruction are controversial. The placement of ligature around the maxillary second molar or the oral inoculation of pathogenic bacteria induced alveolar bone destruction in mice. Chemical ablation of nociceptive neurons in the trigeminal ganglia achieved by intraganglionic injection of resiniferatoxin decreased bone loss in mouse models of experimental periodontitis. Consistently, ablation of nociceptive neurons decreased the number of osteoclasts in alveolar bone under periodontitis. The roles of nociceptors were also determined by the functional inhibition of TRPV1-expressing trigeminal afferents using an inhibitory designer receptor exclusively activated by designer drugs (DREADD) receptor. Noninvasive chemogenetic functional silencing of TRPV1-expressing trigeminal afferents not only decreased induction but also reduced the progression of bone loss in periodontitis. The infiltration of leukocytes and neutrophils to the periodontium increased at the site of ligature, which was accompanied by increased amount of proinflammatory cytokines, such as receptor activator of nuclear factor κΒ ligand, tumor necrosis factor, and interleukin 1β. The extents of increase in immune cell infiltration and cytokines were significantly lower in mice with nociceptor ablation. In contrast, the ablation of nociceptors did not alter the periodontal microbiome under the conditions of control and periodontitis. Altogether, these results indicate that TRPV1-expressing afferents increase bone destruction in periodontitis by promoting hyperactive host responses in the periodontium. We suggest that specific targeting of neuroimmune and neuroskeletal regulation can offer promising therapeutic targets for periodontitis supplementing conventional treatments.
    MeSH term(s) Alveolar Bone Loss/complications ; Animals ; Disease Models, Animal ; Mice ; Neurons ; Nociceptors ; Osteoclasts ; Periodontitis/complications ; Periodontium
    Language English
    Publishing date 2022-01-27
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 80207-4
    ISSN 1544-0591 ; 0022-0345
    ISSN (online) 1544-0591
    ISSN 0022-0345
    DOI 10.1177/00220345211069956
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top