Dear Editor,I am writing in response to the article“Assessment of nurses’workplace silence behavior motives:A cross-sectional study”by Alhojairi et al.published in the September 2024 issue of the International Jour...
Background:Thepostdoctoral workforce has been expanding worldwide,playing a vital role in scientific progress,innovation,and knowledge dissemination.Nevertheless,their mental health is also increasingly a global conce...
the financial support from Sichuan Technology Development Program,China(2020YFN0056,2021ZHCG0051,2020YFN0094,2021YFN0048,2020YFN0151);the Natural Science Foundation of Sichuan Province(2022NSFSC0105);Pidu 100 Innovative Talents Program(2022)。
The utilization of Lactobacillus plantarum(LP)in chili sauce production is well-known for its capacity to enhance product quality and sensory attributes.However,there is still limited knowledge regarding the taste-act...
Researchers Supporting Project number(RSP2025R314),King Saud University,Riyadh,Saudi Arabia.
Glaucoma,a leading cause of blindness,demands early detection for effective management.While AI-based diagnostic systems are gaining traction,their performance is often limited by challenges such as varying image back...
supported by the Japan Society for the Promotion of Science(JSPS)KAKENHI under Grant JP22H03643;Japan Science and Technology Agency(JST)Support for Pioneering Research Initiated by the Next Generation(SPRING)under Grant JPMJSP2145;JST through the Establishment of University Fellowships towards the Creation of Science Technology Innovation under Grant JPMJFS2115.
Residual neural network (ResNet) is a powerful neural network architecture that has proven to be excellent in extracting spatial and channel-wise information of images. ResNet employs a residual learning strategy that...
supported by the Beijing Natural Science Foundation (5252014);the National Natural Science Foundation of China (62303063)。
Bird vocalizations are pivotal for ecological monitoring,providing insights into biodiversity and ecosystem health.Traditional recognition methods often neglect phase information,resulting in incomplete feature repres...
This study proposes a novel approach to optimizing individual work schedules for book digitization using mixed-integer programming (MIP). By leveraging the power of MIP solvers, we aimed to minimize the overall digiti...
This study explores the construction of a legal framework for the metaverse,analyzing digital identity,NFT property rights,judicial challenges,and the evolution of global legal systems.The paper discusses regulatory t...