The promotion of low-carbon and green development is emphasized in the report of the Twentieth National Congress of the Communist Party of China, indicating that the deepening concept of green transformation is significant to Guangdong's modernization and development of environmental protection industries. The purpose of this study is to effectively enhance the green total factor energy productivity (TFEP) and narrow its spatial differences to achieve the coherent development of environmental protection. The GML and FGNZ decomposition methodologies are adopted to examine the TFEP in Guangdong Province. Furthermore, ArcGIS's natural discontinuity, spatial trend surface analysis, and standard deviation ellipse methods are applied to characterize the spatial and temporal evolution of TFEP. Finally, the Geodetector method is used to study the spatiotemporal evolution of the TFEP in Guangdong Province according to risk factors. Overall, the TFEP in Guangdong Province has exhibited a growing trend. The general trends in TFEP are high. Nevertheless, there are large regional differences. Economic development, financial development, the industrial structure, and political reform are the core risk factors. This study is conducive to proposing effective strategies for realizing the goals of sustainable carbon reduction.
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http://dx.doi.org/10.1016/j.jenvman.2024.123395 | DOI Listing |
J Nanobiotechnology
January 2025
Department of Laboratory Medicine Center, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People's Hospital, Guangzhou Medical University, Qingyuan, Guangdong, China.
Monitoring wound infection and providing appropriate treatment are crucial for achieving favorable outcomes. However, the time-consuming nature of laboratory culture tests may delay timely intervention. To tackle this challenge, a simple yet effective HDG hydrogel, composed of hydrogen peroxide (H₂O₂), dopamine, and GelMA polymer, is developed for the ultrafast detection and treatment of Staphylococcus aureus (SA) infections.
View Article and Find Full Text PDFCell Commun Signal
January 2025
School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, 510515, China.
Background: Staphylococcus aureus, a known contributor to non-healing wounds, releases vesicles (SAVs) that influence the delicate balance of host-pathogen interactions. Efferocytosis, a process by which macrophages clear apoptotic cells, plays a key role in successful wound healing. However, the precise impact of SAVs on wound repair and efferocytosis remains unknown.
View Article and Find Full Text PDFBMC Oral Health
January 2025
Department of Stomatology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, Zhejiang, China.
Purpose: To perform risk assessment and analysis of potential infection during stomatology workflow in a hospital in the context of a major infectious disease outbreak, and to determine the key failure modes and measures to prevent and control infection.
Method: Following the Failure Modes and Effects Analysis (FMEA) method based on the stomatology workflow, the opinions of 30 domain-experts in related fields were collected through questionnaires to determine all potential failure modes in the severity (S), occurrence (O), and detectability (D) dimensions. The group score was then integrated through the median method and the risk priority number (RPN) was obtained.
BMC Med Educ
January 2025
The First Clinical Medicine School of Guangdong Pharmaceutical University, Guangdong, People's Republic of China.
Objective: This study examines a novel teaching model that integrates the development and use of a Medical Cloud Dictionary with project-based learning (PBL). We investigate whether this integrated approach improves teaching effectiveness, enhances student learning outcomes, and reduces teaching pressure compared to traditional PBL.
Methods: One hundred student volunteers were randomly assigned to an experimental group (n = 50) and a control group (n = 50).
BMC Public Health
January 2025
Meizhou Hospital of Guangzhou University of Chinese Medicine, Meizhou, Guangdong, China.
Objective: Hypertension increases the prevalence of depression to a certain extent and identification and diagnosis of depression frequently pose challenges for clinicians. The study aimed to construct and validate a scoring model predicting the prevalence of depression with hypertension.
Methods: 6124 individuals with hypertension were utilized from the 2007 to 2020 National Health and Nutrition Examination Survey database (NHANES), including 645 subjects that were assessed to have depressive symptoms, 390 in the development group and 255 in the validation group.
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