Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Tianhao, Yan"'
Autor:
Ye Chen, Zihan Zhang, Ziwei Li, Wenjie Wu, Shihai Lan, Tianhao Yan, Kainan Mei, Zihan Qiao, Chen Wang, Chuanbiao Bai, Ziyan Li, Shangquan Wu, Jianye Wang, Qingchuan Zhang
Publikováno v:
Microsystems & Nanoengineering, Vol 10, Iss 1, Pp 1-16 (2024)
Abstract Exosomes derived from mesenchymal stem cells (MSCs) have been confirmed to enhance cell proliferation and improve tissue repair. Exosomes release their contents into the cytoplasmic solution of the recipient cell to mediate cell expression,
Externí odkaz:
https://doaj.org/article/39fbf8e4618e4af894c8f6db6dd1c6ce
Autor:
Andreas Triantafyllopoulos, Alexander Kathan, Alice Baird, Lukas Christ, Alexander Gebhard, Maurice Gerczuk, Vincent Karas, Tobias Hübner, Xin Jing, Shuo Liu, Adria Mallol-Ragolta, Manuel Milling, Sandra Ottl, Anastasia Semertzidou, Srividya Tirunellai Rajamani, Tianhao Yan, Zijiang Yang, Judith Dineley, Shahin Amiriparian, Katrin D. Bartl-Pokorny, Anton Batliner, Florian B. Pokorny, Björn W. Schuller
Publikováno v:
Frontiers in Digital Health, Vol 5 (2023)
Recent years have seen a rapid increase in digital medicine research in an attempt to transform traditional healthcare systems to their modern, intelligent, and versatile equivalents that are adequately equipped to tackle contemporary challenges. Thi
Externí odkaz:
https://doaj.org/article/37ec478a52a04d60a259dc435e111374
Autor:
Alexander Kathan, Mathias Harrer, Ludwig Küster, Andreas Triantafyllopoulos, Xiangheng He, Manuel Milling, Maurice Gerczuk, Tianhao Yan, Srividya Tirunellai Rajamani, Elena Heber, Inga Grossmann, David D. Ebert, Björn W. Schuller
Publikováno v:
Frontiers in Digital Health, Vol 4 (2022)
IntroductionDigital health interventions are an effective way to treat depression, but it is still largely unclear how patients’ individual symptoms evolve dynamically during such treatments. Data-driven forecasts of depressive symptoms would allow
Externí odkaz:
https://doaj.org/article/775e49f8b626463b82904801c9126a2b
Publikováno v:
IEEE Access, Vol 7, Pp 5932-5945 (2019)
In the indoor environment, due to weak receiver signals, environmental noise, multipath interference, and non-line-of-sight propagation, the traditional positioning algorithms based on received signal strength indication (RSSI) have many problems, su
Externí odkaz:
https://doaj.org/article/21464ec7888c4e61b595809341afaaa6
Publikováno v:
IEEE Access, Vol 7, Pp 125868-125881 (2019)
Speech emotion recognition is a vital and challenging task that the feature extraction plays a significant role in the SER performance. With the development of deep learning, we put our eyes on the structure of end-to-end and authenticate the algorit
Externí odkaz:
https://doaj.org/article/5c35727478634da39940ae8c067c1dee
Publikováno v:
IEEE Access, Vol 7, Pp 130156-130167 (2019)
The traditional 2D panoramic view has the problem of small imaging range, low utilization of original image and serious stretching of the foreground. This paper designs a 3D panoramic viewing system. The real-time performance of the panoramic system
Externí odkaz:
https://doaj.org/article/2e21392d4d394f6697fffb2c241e3f83
Publikováno v:
Journal of Computational Biology. 30:588-608
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f1cf350402d58f35f9b1670060a4c11
https://doi.org/10.1089/cmb.2022.0331
https://doi.org/10.1089/cmb.2022.0331
Publikováno v:
Bulletin of the Polish Academy of Sciences: Technical Sciences, Vol 69, Iss No. 1 (2021)
Speech emotion recognition (SER) is a complicated and challenging task in the human-computer interaction because it is difficult to find the best feature set to discriminate the emotional state entirely. We always used the FFT to handle the raw signa
Externí odkaz:
https://doaj.org/article/a2aca55a7392421183ea84651615c156
Publikováno v:
Road Materials and Pavement Design. 24:626-639
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf0081214725b3448dcfea000020aaa6
https://doi.org/10.1080/14680629.2023.2181015
https://doi.org/10.1080/14680629.2023.2181015
Autor:
Depeng, Rao, Tianhao, Yan, Zihan, Qiao, Yu, Wang, Yongpei, Peng, Han, Tu, Shangquan, Wu, Qingchuan, Zhang
Publikováno v:
Nano Research. 16:3231-3239
Ultrasensitive molecular detection and quantization are crucial for many applications including clinical diagnostics, functional proteomics, and drug discovery; however, conventional biochemical sensors cannot satisfy the stringent requirements, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b3a64c523ed862de9d9d6fdfdcf6d80
https://doi.org/10.1007/s12274-022-5049-0
https://doi.org/10.1007/s12274-022-5049-0