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2023

Новости за 16.08.2023

Does globalization matter in the relationship between renewable energy consumption and economic growth, evidence from Asian emerging economies

Plos.org 

by Jinjin Zhang, Zixuan Li, Arshad Ali, Jinshu Wang

The study aims to investigate the impact of social, economic and political globalization on the renewable energy-economic growth nexus in a panel of six Asian emerging economies over the period 1975–2020. The results of the CS-ARDL approach show that renewable energy consumption contributes significantly to long run economic growth. Economic and political globalization firmly hold back economic growth, while social globalization directly promotes economic growth. Читать дальше...

Features and spatial effects of urban development and decline in resource-oriented cities: The case of Jilin, China

Plos.org 

by Xincheng Zhu

Transforming resource-based cities into sustainable economic development is a great challenge for policy-makers in many countries. However, the economic-centered evaluation system tends to breed the undesirable view of "GDP only" or “brown growth” in the previous case studies which is inconsistent with the long-run and sustainable development of resource-based cities. To fill in this research gap, this paper takes Jilin province in northeast China as a case study to explore... Читать дальше...

Prediction model with multi-point relationship fusion via graph convolutional network: A case study on mining-induced surface subsidence

Plos.org 

by Baoxing Jiang, Kun Zhang, Xiaopeng Liu, Yuxi Lu

Accurate prediction of surface subsidence is of significance for analyzing the pattern of mining-induced surface subsidence, and for mining under buildings, railways, and water bodies. To address the problem that the existing prediction models ignore the correlation between subsidence points, resulting in large prediction errors, a Multi-point Relationship Fusion prediction model based on Graph Convolutional Networks (MRF-GCN) for mining-induced subsidence was proposed. Читать дальше...

Using the health belief model to understand the factors influencing the perceptions of people of Chinese ancestry about reducing salt consumption for hypertension prevention: A cross-sectional study

Plos.org 

by Alex Chan, Sally Wai-chi Chan, Leigh Kinsman

Background

High-salt diets are linked to hypertension. Chinese people in Australia, are at increased risk of hypertension due to the combination of routine addition of high quantities of salt to food during cooking and high salt levels in processed western foods. There is a scarcity of salt-related behavioural studies on this population group. This study aimed to explore the habitual salt consumption of Chinese Australians and factors that... Читать дальше...



Thermomechanical stress analyses of nanowarming-assisted recovery from cryopreservation by vitrification in human heart and rat heart models

Plos.org 

by Purva Joshi, Yoed Rabin

This study investigates thermomechanical stress in cryopreservation by vitrification of the heart, while exploring the effects of nanowarming-assisted recovery from cryogenic storage. This study expands upon a recently published study, combining experimental investigation and thermal analysis of cryopreservation on a rat heart model. Specifically, this study focuses on scenarios with variable concentrations of silica-coated iron-oxide nanoparticles (sIONPs), while... Читать дальше...

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Москва

Понижение температуры в столичном регионе начнется с 14 июля


Tracing the evolution of green logistics: A latent dirichlet allocation based topic modeling technology and roadmapping

Plos.org 

by Ruijundi Ma, Yong Jin Kim

Green logistics (GL) is the main development trend of modern logistics. The analysis of green logistics topics and their evolution is helpful in grasping its development trend and doing research facing the international frontier. Focusing on the hot topics and evolution process of green logistics, this paper analyzes from four aspects: firstly, this study divides the green logistics development progress into three stages based on life cycle theory, which are the emerging stage (1993–2003)... Читать дальше...

GraphTS: Graph-represented time series for subsequence anomaly detection

Plos.org 

by Roozbeh Zarei, Guangyan Huang, Junfeng Wu

Automatic detection of subsequence anomalies (i.e., an abnormal waveform denoted by a sequence of data points) in time series is critical in a wide variety of domains. However, most existing methods for subsequence anomaly detection often require knowing the length and the total number of anomalies in time series. Some methods fail to capture recurrent subsequence anomalies due to using only local or neighborhood information for anomaly detection. Читать дальше...


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