Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Narayanan, Ramakrishnan"'
Autor:
Anantha Narayanan Ramakrishnan, Josephine Reymann, Christopher Ludtka, Andreas Kiesow, Stefan Schwan
Publikováno v:
BMC Biomedical Engineering, Vol 6, Iss 1, Pp 1-8 (2024)
Abstract Background Restorative solutions designed for edentulous patients such as dentures and their accompanying denture adhesives operate in the complex and dynamic environment represented by human oral physiology. Developing material models accou
Externí odkaz:
https://doaj.org/article/701a4332f6c24806a351d47cddabf5a5
Autor:
Josephine Koehler, Anantha Narayanan Ramakrishnan, Christopher Ludtka, Jeremias Hey, Andreas Kiesow, Stefan Schwan
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background The various physical and chemical conditions within the oral cavity are hypothesized to have a significant influence on the behavior of denture adhesives and therefore the overall comfort of denture wearers. As such, this study ai
Externí odkaz:
https://doaj.org/article/342d042714544c559dad965ac29d3894
Autor:
Anantha Narayanan Ramakrishnan, Oliver Röhrle, Christopher Ludtka, Josephine Koehler, Andreas Kiesow, Stefan Schwan
Publikováno v:
Journal of Applied Biomaterials & Functional Materials, Vol 21 (2023)
Physiological parameters of the oral cavity have a profound impact on any restorative solutions designed for edentulous patients including denture adhesives. This study aims to mathematically quantify the influence of three such variables, namely: th
Externí odkaz:
https://doaj.org/article/a19d06aa51dd44adb11b7fe4d5739059
Publikováno v:
Biosensors, Vol 13, Iss 2, p 209 (2023)
Irregularities in breathing patterns can be detected using breath monitor sensors, and this help clinicians to predict health disorders ranging from sleep disorders to heart failures. Variations in humidity during the inhalation and exhalation of bre
Externí odkaz:
https://doaj.org/article/92397b5304464865885e6f061f527580
Publikováno v:
Indian Journal of Dental Research, Vol 30, Iss 4, Pp 512-515 (2019)
Aim: The aim of this study is to determine the efficacy of phonophoresis in patients with temporomandibular disorders. Objective: To prove that phonophoresis could be an effective treatment modality in in patients with temporomandibular disorders. Pr
Externí odkaz:
https://doaj.org/article/2344d516fd8341b9a7b08021694e1e77
Autor:
Anantha Narayanan Ramakrishnan, Oliver Röhrle, Christopher Ludtka, Roshan Varghese, Josephine Koehler, Andreas Kiesow, Stefan Schwan
Publikováno v:
Applied Bionics and Biomechanics, Vol 2021 (2021)
The base fit between a removable partial denture (RPD) and the underlying soft tissue plays a significant role in its performance. The application of a denture adhesive is hypothesized to result in better retention of RPDs and, as a result, contribut
Externí odkaz:
https://doaj.org/article/278a6b7fbb3248029c74482ff1043602
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 72:1-8
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10207e32114671c51819de2da16302fe
https://doi.org/10.1109/tim.2023.3275998
https://doi.org/10.1109/tim.2023.3275998
Emerging Biosensors to Detect Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2): A Review
Publikováno v:
Biosensors, Vol 11, Iss 11, p 434 (2021)
Coronavirus disease (COVID-19) is a global health crisis caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Real-time reverse transcriptase-polymerase chain reaction (RT-PCR) is the gold standard test for diagnosing COVID-19.
Externí odkaz:
https://doaj.org/article/23bb5a65f0974384893eba17cec43582
Autor:
Sahib Singh, Narayanan Ramakrishnan
The release of ChatGPT, natural language based platform by OpenAI, has taken the industry by storm. It can understand and generate human-like responses to a wide range of topics with remarkable accuracy. This includes answering questions, writing ess
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7b95624a6eee72c549d1058870a3509
https://doi.org/10.31219/osf.io/9xkbu
https://doi.org/10.31219/osf.io/9xkbu
Autor:
Seydiren Seeneevassen, Mohammad Ali Mohammadzadeh Kashan, Yun Mun Lim, Narayanan Ramakrishnan
Publikováno v:
IEEE Sensors Journal. 22:10454-10458
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee29937ca95a69aaab6b3409221d1c5f
https://doi.org/10.1109/jsen.2022.3167255
https://doi.org/10.1109/jsen.2022.3167255