The global situation of carbon reduction is very severe, and the coupling of digital and green technology innovation is one of the most significant approaches to promoting regional low-carbon transformation. A coupling evaluation model is employed to assess the coupling index between digital technology innovation and green technology innovation in China's 30 provinces from 2011 to 2021. The STIRPAT model is used to examine the impact of the increasing coupling index on carbon emissions, as well as its spatial effects, and heterogeneity. The results reveal that: (1) Recently, China has made remarkable strides in digital and green technology innovation. Nonetheless, there has been a decline trend in the average coupling level between these two, with slightly higher coupling levels observed in the central and western regions compared to the eastern coastal areas. (2) Green technology innovation has a significantl positive effect on carbon emissions, while digital innovation technology has an unstable negative impact on carbon emissions. (3) The increasing coupling index of green and digital technology innovation can substantially cut carbon emissions. The effects of different technological innovation levels and their coupling degree on carbon emissions show regional heterogeneity. (4) Coupling index and carbon emissions exhibit a notable spatial autocorrelation. Enhancing the local coupling index will result in a regional spillover effect on the carbon emission levels of surrounding regions. This study puts forward suggestions for increasing capital investment in digital and green technology innovation and optimizing the policy support environment for their integration and synergy, so as to lay the groundwork for advancing the national low-carbon transformation and hastening the attainment of "dual-carbon" goals.
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http://dx.doi.org/10.1016/j.jenvman.2024.123824 | DOI Listing |
Biomark Res
January 2025
Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361003, P.R. China.
Background: Disease progression within 24 months (POD24) significantly impacts overall survival (OS) in patients with follicular lymphoma (FL). This study aimed to develop a robust predictive model, FLIPI-C, using a machine learning approach to identify FL patients at high risk of POD24.
Methods: A cohort of 1,938 FL patients (FL1-3a) from seventeen centers nationwide in China was randomly divided into training and internal validation sets (2:1 ratio).
BMC Neurol
January 2025
Department of Neurology, The First Affiliated Hospital of Zhengzhou University, 1 East Jianshe Road, Zhengzhou, China.
Background: Awareness of the characteristics of glial fibrillary acidic protein autoantibody (GFAP-IgG) associated myelitis facilitates early diagnosis and treatment. We explored features in GFAP-IgG myelitis and compared them with those in myelitis associated with aquaporin-4 IgG (AQP4-IgG) and myelin oligodendrocyte glycoprotein IgG (MOG-IgG).
Methods: We retrospectively reviewed data from patients with GFAP-IgG myelitis at the First Affiliated Hospital of Zhengzhou University and Henan Children's Hospital from May 2018 to May 2023.
Pediatr Rheumatol Online J
January 2025
Division of Pediatric Rheumatology, Seattle Children's Hospital, 4800 Sand Point Way NE, Seattle, WA, 98105, USA.
Background: NSAIDs are commonly used as first line therapy in chronic nonbacterial osteomyelitis (CNO) but are not effective for all patients. The objective of this study was to identify clinical variables associated with NSAID monotherapy response versus requiring second-line medication in a single-center cohort of patients with CNO.
Methods: The charts of children with CNO who attended a CNO clinic at a quaternary care center between 1/1/05 and 7/31/21 were retrospectively reviewed.
CNS Neurosci Ther
January 2025
Department of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Objective: This study investigates the association between blood urea nitrogen (BUN) levels and the risk of delirium in critically ill elderly patients without kidney disease.
Methods: A retrospective analysis was conducted using data from the MIMIC-IV database. The relationship between BUN and delirium risk was illustrated through the restricted cubic spline (RCS) method.
Nat Med
January 2025
Leiden University Center for Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
Malaria vaccines consisting of metabolically active Plasmodium falciparum (Pf) sporozoites can offer improved protection compared with currently deployed subunit vaccines. In a previous study, we demonstrated the superior protective efficacy of a three-dose regimen of late-arresting genetically attenuated parasites administered by mosquito bite (GA2-MB) compared with early-arresting counterparts (GA1-MB) against a homologous controlled human malaria infection. Encouraged by these results, we explored the potency of a single GA2-MB immunization in a placebo-controlled randomized trial.
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