Almost periodic solutions of periodic linear partial functional differential equations

We study conditions for the abstract periodic linear functional differential equation $\dot{x}=Ax+F(t)x_t+f(t)$ to have almost periodic with the same structure of frequencies as $f$. The main conditions are stated in terms of the spectrum of the monodromy operator associated with the equation and the frequencies of the forcing term $f$. The obtained results extend recent results on the subject. A discussion on how the results could be extended to the case when $A$ depends on $t$ is given.Comment: 17 page

An empirical evaluation of AMR parsing for legal documents

Many approaches have been proposed to tackle the problem of Abstract Meaning Representation (AMR) parsing, helps solving various natural language processing issues recently. In our paper, we provide an overview of different methods in AMR parsing and their performances when analyzing legal documents. We conduct experiments of different AMR parsers on our annotated dataset extracted from the English version of Japanese Civil Code. Our results show the limitations as well as open a room for improvements of current parsing techniques when applying in this complicated domain

Collaborative Consultation Doctors Model: Unifying CNN and ViT for COVID-19 Diagnostic

The COVID-19 pandemic presents significant challenges due to its high transmissibility and mortality risk. Traditional diagnostic methods, such as RT-PCR, have limitations that hinder timely and accurate screening. In response, AI-powered computer-aided imaging analysis techniques have emerged as a promising alternative for COVID-19 diagnosis. In this paper, we propose a novel approach that combines the strengths of Convolutional Neural Network (CNN) and Vision Transformer (ViT) to enhance the performance of COVID-19 diagnosis models. CNN excels at capturing spatial features in medical images, while ViT leverages self-attention mechanisms inspired by human radiologists. Additionally, our approach draws inspiration from subclinical diagnosis, a collaborative process involving attending physicians and specialists, which has proven effective in achieving accurate and comprehensive diagnoses. To this end, we employ an early fusion strategy integrating CNN and ViT, then fed into a residual neural network. By fusing these complementary features, our approach achieves state-of-the-art performance in accurately identifying COVID-19 cases on two benchmark datasets: Chest X-ray and Clean-CC-CCII. This research has the potential to enable timely and accurate screening, aiding in the early detection and management of COVID-19 cases. Our findings contribute to the growing knowledge of AI-powered diagnostic techniques and demonstrate the potential for advanced imaging analysis methods to support medical professionals in combating the ongoing pandemic

GEOCHEMICAL SEDIMENTARY EVOLUTION FEATURES OF THE PROCESSES OF FORMATION, DEVELOPMENT AND DEGRADATION OF MANGROVE FORESTS IN NAMDINH COASTAL REGION, VIETNAM

Joint Research on Environmental Science and Technology for the Eart

SOLUTIONS TO IMPROVE STUDENTS' SATISFACTION IN PHYSICAL EDUCATION COURSES

The purpose of this study was to find out the solutions to improve students' satisfaction in physical education courses at Saigon University. 1378 students participated in physical education courses (such as football, volleyball, table tennis, basketball, and badminton) in the academic year 2021-2022 has been conducted by using questionnaires to survey. Through the steps of the analysis of strengths, weaknesses, opportunities, threats in teaching process, expert consultation, combined with experimental process based on 7 factors, i.e. facilities, lecturers, training program, the implementation, support process, problem responsiveness and expected results. Results had selected and applied 08 solutions to improve the satisfaction level of students at Saigon University after participating in physical education courses. In short, the application of the solutions has contributed to improving the satisfaction level of students after participating in the physical education courses.  Article visualizations