[This corrects the article DOI: 10.1371/journal.pone.0176092.].
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5467907 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0179799 | PLOS |
Vaccines (Basel)
November 2024
Department of Pediatrics, Niigata University Graduate School of Medical and Dental Sciences, Niigata 951-8510, Japan.
Background/objectives: Healthcare professionals' (HCPs') accurate knowledge of and positive attitudes toward immunization greatly influence society's acceptance of it. Early and appropriate immunization education for HCP students is vital. This study aimed to understand current immunization education and vaccine hesitancy among medical, nursing, and pharmacy students in Japan.
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December 2024
School of Physics and Optoelectronics, Xiangtan University, Xiangtan 411105, China.
In the case of waveguide-based devices, once they are fabricated, their optical properties are already determined and cannot be dynamically controlled, which limits their applications in practice. In this paper, an isosceles triangular-coupling structure which consists of an isosceles triangle coupled with a two-bus waveguide is proposed and researched numerically and theoretically. The coupled mode theory (CMT) is introduced to verify the correctness of the simulation results, which are based on the finite difference time domain (FDTD).
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December 2024
Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China.
Transformer is a powerful model widely used in artificial intelligence applications. It contains complex structures and has extremely high computational requirements that are not suitable for embedded intelligent sensors with limited computational resources. The binary quantization technology takes up less memory space and has a faster calculation speed; however, it is seldom studied for the lightweight transformer.
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December 2024
College of Computer Science and Engineering, Chongqing University of Technology, Chongqing 400054, China.
Within the domain of traditional art, Chinese Wuhu Iron Painting distinguishes itself through its distinctive craftsmanship, aesthetic expressiveness, and choice of materials, presenting a formidable challenge in the arena of stylistic transformation. This paper introduces an innovative Hierarchical Visual Transformer (HVT) framework aimed at achieving effectiveness and precision in the style transfer of Wuhu Iron Paintings. The study begins with an in-depth analysis of the artistic style of Wuhu Iron Paintings, extracting key stylistic elements that meet technical requirements for style conversion.
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December 2024
CNRS, LAAS, 7 Avenue du Colonel Roche, F-31400 Toulouse, France.
The development of ion-sensitive field-effect transistor (ISFET) sensors based on silicon nanowires (SiNW) has recently seen significant progress, due to their many advantages such as compact size, low cost, robustness and real-time portability. However, little work has been done to predict the performance of SiNW-ISFET sensors. The present study focuses on predicting the performance of the silicon nanowire (SiNW)-based ISFET sensor using four machine learning techniques, namely multilayer perceptron (MLP), nonlinear regression (NLR), support vector regression (SVR) and extra tree regression (ETR).
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