Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Weijia Feng"'
Publikováno v:
Biomolecules & Biomedicine (2024)
This study explored the mechanism by which forkhead box O-1 (FoxO1) modulates the biological behaviors of bone mesenchymal stem cell (BMSC). Human BMSCs were cultured for 7 days in DMEM containing bone morphogenetic protein-2 (BMP-2) and treated with
Externí odkaz:
https://doaj.org/article/6dd944b53c3e4934ad98cc21d2760860
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 3074 (2024)
In order to extract the line-spectrum features of underwater acoustic targets in complex environments, an auditory convolutional neural network (ACNN) with the ability of frequency component perception, timbre perception and critical information perc
Externí odkaz:
https://doaj.org/article/5e76044b6def4e4889ee235edb35eec2
Publikováno v:
Buildings, Vol 14, Iss 7, p 2245 (2024)
Building operations account for a large amount of energy use and CO2 emissions, and the morphology of buildings in residential clusters strongly impacts energy efficiency performance. However, little research has focused on the morphology and energy
Externí odkaz:
https://doaj.org/article/36581ecce9204d1fa5f35abd33281eec
Publikováno v:
International Journal of Clinical Practice, Vol 2024 (2024)
Diseases related to cartilage abnormalities pose a serious threat to human health. Normal cartilage contains only one type of cell, chondrocytes. This study aims to investigate the impact of inositol polyphosphate-5-phosphatase E (INPP5E) on chondroc
Externí odkaz:
https://doaj.org/article/b6b61ce6239845fda69aa92eadf1e2b3
Publikováno v:
IEEE Access, Vol 10, Pp 46114-46127 (2022)
Symmetric Positive Definite (SPD) data are increasingly prevalent in dictionary learning recently. SPD data are the typical non-Euclidean data and cannot constitute a Euclidean space. Therefore, many dictionary learning algorithms cannot be directly
Externí odkaz:
https://doaj.org/article/c56474e36ea843afb57e8f6d6c7173fc
Autor:
Weijia Feng, Gerard Arrey, Egija Zole, Wei lv, Xue Liang, Peng Han, Marghoob Mohiyuddin, Henriette Pilegaard, Birgitte Regenberg
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 20, Iss , Pp 3059-3067 (2022)
Extrachromosomal circular DNA (eccDNA) of chromosomal origin is common in eukaryotic cells. Amplification of oncogenes on large eccDNA (ecDNA) can drive biological processes such as tumorigenesis, and identification of eccDNA by sequencing after remo
Externí odkaz:
https://doaj.org/article/e3304d2b332c4de69e74a8ed18951a2b
Publikováno v:
Lithosphere, Vol 2022, Iss Special 9 (2022)
AbstractLarge volcanic eruptions have significant impacts on climate and environmental changes. The deposition of tephra in marine sediments may serve as an eruption recorder, but it has not been extensively studied in the western Pacific. This study
Externí odkaz:
https://doaj.org/article/3833ca9ff3cd47b2aed74e4e205a7f34
Autor:
Jarhinbek Rasol, Yuelei Xu, Zhaoxiang Zhang, Fan Zhang, Weijia Feng, Liheng Dong, Tian Hui, Chengyang Tao
Publikováno v:
Remote Sensing, Vol 15, Iss 5, p 1439 (2023)
The “low, slow, and small” target (LSST) poses a significant threat to the military ground unit. It is hard to defend against due to its invisibility to numerous detecting devices. With the onboard deep learning-based object detection methods, th
Externí odkaz:
https://doaj.org/article/1c7c700933284ae5897ddff873b660a3
Autor:
Wei Lv, Xiaoguang Pan, Peng Han, Ziyu Wang, Weijia Feng, Xue Xing, Qingqing Wang, Kunli Qu, Yuchen Zeng, Cailin Zhang, Zhe Xu, Yi Li, Tianyu Zheng, Ling Lin, Chengxun Liu, Xuemei Liu, Hanbo Li, Rasmus Amund Henriksen, Lars Bolund, Lin Lin, Xin Jin, Huanming Yang, Xiuqing Zhang, Tailang Yin, Birgitte Regenberg, Fan He, Yonglun Luo
Publikováno v:
Clinical and Translational Medicine, Vol 12, Iss 4, Pp n/a-n/a (2022)
Abstract Background Extrachromosomal circular deoxyribonucleic acid (eccDNA) is evolving as a valuable biomarker, while little is known about its presence in urine. Methods Here, we report the discovery and analysis of urinary cell‐free eccDNAs (uc
Externí odkaz:
https://doaj.org/article/c6ab9a4e1e1c454e8d03a9d10080d3a9
Publikováno v:
IEEE Access, Vol 8, Pp 61956-61972 (2020)
The use of regional covariance descriptors to generate feature data represented by Symmetric Positive Definite (SPD) matrices from images or videos has become increasingly common in machine learning. However, SPD data itself does not constitute a vec
Externí odkaz:
https://doaj.org/article/06483b675f654dfeb26c3ef9e3b98b10