The role of government fiscal and tax incentives in green technology innovation and enterprise development: implications for human health and hygiene.

Purpose: This study aims to examine how government fiscal and tax incentives facilitate the development and application of green technologies, promoting corporate environmental responsibility and improving public health and hygiene.

Methods: The study utilizes empirical data from listed enterprises in the new energy automobile industry between 2018 and 2023. A multiple regression model is used to assess the effects of government subsidies and tax incentives on green technological innovation and enterprise growth, controlling for various factors such as enterprise size and R&D investment.

Effects of problem-based learning on EFL learning: A systematic review.

Teaching English as a foreign language (EFL) is a priority globally, but pedagogical methods do not always keep up with the evolving needs of learners. Problem-based learning (PBL) is an innovative pedagogical approach that facilitates students' self-regulated learning, thereby improving their English proficiency. The present systematic literature review therefore concentrates on the application of PBL methodology in improving students' English language proficiency.

Using process drama in EFL education: A systematic literature review.

Process drama, which emphasizes the active exploration of fictional roles and situations, has proven to be an effective pedagogical approach in language teaching and learning. Despite its recognized efficacy, the systematic evaluation of process drama's impact on English as a Foreign Language (EFL) education remains understudied. This systematic review aimed to investigate the current literature on the relationship between process drama and EFL teaching and learning.

The relationship between music training and cognitive flexibility: an ERP study.

Background: Music training involves several cognitive functions in the brain, particularly executive function. Numerous studies have proven a link between the two. Cognitive flexibility is an important component of executive function, however, there has been little study investigating the association between music training and cognitive flexibility.

One-stage and lightweight CNN detection approach with attention: Application to WBC detection of microscopic images.

White blood cell (WBC) detection in microscopic images is indispensable in medical diagnostics; however, this work, based on manual checking, is time-consuming, labor-intensive, and easily results in errors. Using object detectors for WBCs with deep convolutional neural networks can be regarded as a feasible solution. In this paper, to improve the examination precision and efficiency, a one-stage and lightweight CNN detector with an attention mechanism for detecting microscopic WBC images, and a white blood cell detection vision system are proposed.

SMD-YOLO: An efficient and lightweight detection method for mask wearing status during the COVID-19 pandemic.

Background And Objective: At present, the COVID-19 epidemic is still spreading worldwide and wearing a mask in public areas is an effective way to prevent the spread of the respiratory virus. Although there are many deep learning methods used for detecting the face masks, there are few lightweight detectors having a good effect on small or medium-size face masks detection in the complicated environments.

Methods: In this work we propose an efficient and lightweight detection method based on YOLOv4-tiny, and a face mask detection and monitoring system for mask wearing status.