Assessing the corporate green technology progress and environmental governance performance is essential to estimate the technological levels and environment regulation capabilities of enterprises. With the official statistics of collected panel data, we estimate and evaluate the differential levels of provincial corporate green technology and environmental governance performance of industrial enterprises above designated size (IEADSs) in Anhui Province across multiple dimensions. We firstly chose each surveyed city as the decision-making unit (DMU) in data envelopment analysis (DEA). Subsequently, we estimated the green technology efficiency of IEADSs from a static perspective by using the bootstrap DEA model and an improved super-efficiency (SE) DEA model. Secondly, we used the algorithm of Malmquist productivity index to analyze the dynamic efficiency development tendency and spatiotemporal characteristics in the DMUs. From a dynamic perspective, the evolutionary divergence and convergence characteristics of provincial green technology efficiency were brought about by the estimating algorithm of Malmquist productivity index based on the different regional divisions in Anhui Province. Furthermore, in combination with Malmquist-data envelopment analyses, we also used gray correlation analysis to analyze and evaluate the influencing factors of the industrial green technology efficiencies. This study shows many interesting findings across multiple dimensions. Among the 16 DMUs, there are only eight with the regional green technology efficiencies of IEADSs greater than the expected threshold of 0.9. Nevertheless, the green technology efficiencies of provincial industrial enterprises are still far from the national optimized goals in most of the surveyed cities. The regional green technology efficiencies of IEADSs were ranked as South Anhui > North Anhui > Middle Anhui. The overall average industrial green technology efficiency is 0.8650 in Anhui Province, but the provincial differences of sub-area distribution are relatively large and heterogeneous. The average provincial industrial green technology efficiency appeared as the overall tendency to rise, fall, and then rise, although there is an average bootstrapped Malmquist productivity indices of 1.009 in Anhui Province. Among the declined provincial Malmquist productivity indices, the effch, techch, and sech indices are vital causers of the overall decline of the provincial Malmquist productivity indices. Ultimately, based on all these quantitative estimates and findings, we put forward the following concluding remarks with policy implications and corresponding strategies.
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Sci Rep
January 2025
School of Foreign Languages, Luoyang Institute of Science and Technology, Luoyang, 471000, China.
Based on a micro-entity perspective, this paper empirically examines the effect of regional integration on the efficiency of enterprise resource allocation. Firstly, regional integration can significantly reduce the degree of resource mismatch of enterprises and improve the efficiency of resource allocation of enterprises overall. Secondly, regional integration can improve the efficiency of resource allocation of enterprises mainly through three channels, which are alleviating the financing constraints of enterprises, improving the degree of talent agglomeration, and reducing the operating costs of enterprises.
View Article and Find Full Text PDFEur J Surg Oncol
December 2024
Department of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China. Electronic address:
Background: Fluorescence-guided lymphadenectomy (FLND) using indocyanine green (ICG) has emerged as a promising technique to enhance the accuracy of lymphadenectomy in rectal cancer surgery. Effective lymphadenectomy is crucial for improving prognosis in patients with advanced rectal cancer, but it remains technically challenging and controversial.
Methods: This prospective nonrandomized controlled study was conducted involving 129 patients underwent laparoscopic surgery, and 64 patients assisted by FLND.
Comput Biol Med
January 2025
Department of Software Engineering, University of Engineering and Technology-Taxila, 47050, Punjab, Pakistan. Electronic address:
Lung cancer remains a significant health concern worldwide, prompting ongoing research efforts to enhance early detection and diagnosis. Prior studies have identified key challenges in existing approaches, including limitations in feature extraction, interpretability, and computational efficiency. In response, this study introduces a novel deep learning (DL) framework, termed the Improved CenterNet approach, tailored specifically for lung cancer detection.
View Article and Find Full Text PDFJ Photochem Photobiol B
December 2024
Anne Bates Leach Eye Center, Bascom Palmer Eye Institute, Department of Ophthalmology, University of Miami Miller School of Medicine, Miami, FL, United States of America; Ocular Microbiology Laboratory, Bascom Palmer Eye Institute, Department of Ophthalmology, University of Miami Miller School of Medicine, Miami, FL, United States of America.
Introduction: Fungal keratitis is a leading cause of corneal blindness, with current antifungal treatments having limited efficacy. One promising treatment modality is Rose Bengal (RB) photodynamic antimicrobial therapy (PDAT) that has shown mixed success against fungal keratitis. Therefore, there is a need to explore the antimicrobial efficacy of other green-light activated photosensitizers that have deep penetration in the cornea to combat the deep fungal infections, such as Erythrosin B (EB) and Eosin Y (EY).
View Article and Find Full Text PDFEcotoxicol Environ Saf
January 2025
Joint International Research Laboratory of Green Buildings and Built Environments (Ministry of Education), Chongqing University, Chongqing 400045, China; School of the Built Environment, University of Reading, Reading RG6 6DB, UK. Electronic address:
Environmental pollutants including ultrafine particulate matter (UFPs) and adverse meteorological conditions pose significant public health impacts, particularly affecting respiratory health. This study aims to elucidate the synergistic effects of cold-humid conditions and UFPs exposure on respiratory health, utilizing Carbon Black Nanoparticles (CB-NPs) as surrogates for UFPs. Through comprehensive lung function tests, histopathological examinations, and biomarker analyses, this research focuses on the modulation of oxidative stress signaling pathways and NF-κB activation.
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