Publications by authors named "Jinzhao Wu"
This paper introduces two three-term trust region conjugate gradient algorithms, TT-TR-WP and TT-TR-CG, which are capable of converging under non-Lipschitz continuous gradient functions without any additional conditions. These algorithms possess sufficient descent and trust region properties, and demonstrate global convergence. In order to assess their numerical performance, we compare them with two classical algorithms in terms of restoring noisy gray-scale and color images as well as solving large-scale unconstrained problems.
View Article and Find Full Text PDFCombination of pregabalin and 5-aminolevulinic acid photodynamic therapy to reduce pain of condyloma acuminatum.
Photodermatol Photoimmunol Photomed
March 2023
Whole-Genome Sequencing Identified and Mutations in Port-Wine Stains.
Front Med (Lausanne)
July 2022
Article Synopsis
- Port-wine stains (PWSs) are congenital disorders linked to various genetic mutations affecting blood vessel development, but the specific mutations remain largely unclear.
- Researchers utilized whole-genome sequencing (WGS) on DNA from four patients to identify genetic variations, uncovering a known GNAQ mutation in one and six novel mutations across three genes in the others.
- Additionally, two of the newly identified mutations showed frequencies of 60% and 40% in tests on five other sporadic PWS patients, emphasizing the genetic diversity in PWS and paving the way for potential clinical applications.
Traffic sign recognition is a classification problem that poses challenges for computer vision and machine learning algorithms. Although both computer vision and machine learning techniques have constantly been improved to solve this problem, the sudden rise in the number of unlabeled traffic signs has become even more challenging. Large data collation and labeling are tedious and expensive tasks that demand much time, expert knowledge, and fiscal resources to satisfy the hunger of deep neural networks.
View Article and Find Full Text PDFDesign and implementation of the first nationwide, web-based Chinese Renal Data System (CNRDS).
BMC Med Inform Decis Mak
February 2012
Background: In April 2010, with an endorsement from the Ministry of Health of the People's Republic of China, the Chinese Society of Nephrology launched the first nationwide, web-based prospective renal data registration platform, the Chinese Renal Data System (CNRDS), to collect structured demographic, clinical, and laboratory data for dialysis cases, as well as to establish a kidney disease database for researchers and policy makers.
Methods: The CNRDS program uses information technology to facilitate healthcare professionals to create a blood purification registry and to deliver an evidence-based care and education protocol tailored to chronic kidney disease, as well as online forum for communication between nephrologists. The online portal https://www.