A deep learning classification framework for research methods of marine protected area management

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 368, P. 122228 - 122228

Published: Aug. 24, 2024

The latest emerging transdisciplinary marine protected area (MPA) research scheme requires efficient approaches for theoretically based and data-driven method integration. However, due to the rapid development diversification of methods, it is growingly difficult locate new methods in methodological dimensions integrate them utmost utility. This study proposes a deep learning-based classification framework MPA management focused particularly on data theory capabilities using natural language processing (NLP). It extracted keywords from academic sources performed clustering semantic similarity, generating benchmark texts abstract labeling. By training learning NLP model analyzing abstracts 9049 empirical articles 1986 2024, scores were attributed each article, total 19 major categories 110 segment branches identified qualitative, quantitative, mixed genres. Combination types summarized, yielding data-theory neutralization principle where average tend approximate 0.50. Applying broadens traditional boundaries integration extends synthesis higher numbers, practical 2paradigm future research. Implications include bridging social ecological data, theorizing emergent challenges complex systems integrating construction science. applicable quantification other environmental disciplines can serve as guidance multidisciplinary © 2017 Elsevier Inc. All rights reserved.

Language: Английский

An assessment of the impact of the digital economy on the adaptive reform of the tax system based on data analysis

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract The digital economy is playing an increasingly important role in economic development and has a non-negligible impact on the innovative of tax system. study measures two aspects effectiveness system reform (tax governance capacity administration efficiency) constructs benchmark model through panel Tobit regression spatial model. empirically analyzed. shows significant correlation with reform. coefficients eastern, central, western regions are 1.586, -1.762, 2.153, respectively. differences between groups east center west 3.486 3.896, respectively, which indicates that more effect improvement region east. However, it less beneficial to central than region. beneficial. can play promoting both high low levels human capital, but greater improving capital.

Language: Английский