•Monitoring mainland and island coastline variations of the Pearl River Estuary from 1978 to 2018.•Combined Otsu and Canny edge detections to extract coastline from Landsat dataset.•Reclassified ...coastline as biological, sandy, muddy, estuarine, rocky and artificial via visual interpretation.•Rezoned the study area into Area I-IV and analyzed coastline variations and differences among these areas.•Analyzed natural and anthropogenic factors of coastline variations of the study area.
The coastline of the Pearl River Estuary (PRE) experienced significant changes due to the increasing demand for land. Previous studies have focused on coastline changes of the mainland in China; thus changes of island coastlines have not been well investigated. In this study, the coastlines of the continent and islands of the Pearl River Estuary from 1978 to 2018 were extracted and analyzed by integrating Canny edge detection and Otsu methods based on Landsat data, and the coastline was classified into six types including biological, sandy, muddy, estuarine, rocky, and artificial via visual interpretation. The coastline length, coastline change rate and change area were calculated and analyzed for the 40 years period. The precision test showed that the coastline extraction methods presented in this paper meet the accuracy standard. The coastline length of the Pearl River Estuary was found to have increased rapidly from 789 km in 1978 to 979 km in 2018. During the past four decades, a large proportion of natural coastline converted into artificial one (66% in 2018), while 577 km2 land increased in this area. The coastline of the western PRE demonstrates more rapid change rates than that of the eastern part, and more land reclamation has occurred in the western area. Between 1988 and 1997, the coastline length and area of reclamation experienced the most extensive changes. Both natural factors, including sediment transport, sea-level rise, wind, tide, as well as anthropogenic factors, such as land reclamation and dam construction, have impacted coastline variation of the Pearl River Estuary in the past four decades. In general, the western part of the study area showed more remarkable coastline change and experienced the enormous influence of land reclamation, dam construction and sediment transport, compared with the eastern part.
ESG and Financial Constraints Hu, Xinyi
SHS Web of Conferences,
2023, Letnik:
169
Journal Article, Conference Proceeding
Recenzirano
Odprti dostop
Prior evidence that firm’s environment, society and governance (ESG) performance has a positive impact on its investment behavior, leaves unaddressed whether it has the same impact on corporate ...financing constraints. Drawing on stakeholder theory and Information asymmetry theory, this study analyzes the issue in a more exhaustive way. Use Chinese A-share listed companies samples from 2009 to 2020, the author analyzes the relationship between ESG performance and financing constraints, and finds that firms with better ESG performance, measured by high ESG ratings, face less financing constraints. This study helps to clarify the economic significance of ESG performance, provides empirical basis for listed companies to attach importance to and improve ESG performance, and has implications for government departments to formulate relevant policies to improve the efficiency of capital allocation and promote high-quality economic development.
Advances in material design and applications are highly dependent on the development of particle surface engineering strategies. However, few universal methods can functionalize particles of ...different compositions, sizes, shapes, and structures. The amyloid‐like lysozyme assembly‐mediated surface functionalization of inorganic, polymeric or metal micro/nanoparticles in a unique amyloid‐like phase‐transition buffer containing lysozyme are described. The rapid formation of a robust nanoscale phase‐transitioned lysozyme (PTL) coating on the particle surfaces presents strong interfacial binding to resist mechanical and chemical peeling under harsh conditions and versatile surface functional groups to support various sequential surface chemical derivatizations, such as radical living graft polymerization, the electroless deposition of metals, biomineralization, and the facile synthesis of Janus particles and metal/protein capsules. Being distinct from other methods, the preparation of this pure protein coating under biocompatible conditions (e.g., neutral pH and nontoxic reagents) provides a reliable opportunity to directly modify living cell surfaces without affecting their biological activity. The PTL coating arms yeasts with a functional shell to protect their adhered body against foreign enzymatic digestion. The PTL coating further supports the surface immobilization of living yeasts for heterogeneous microbial reactions and the sequential surface chemical derivatization of the cell surfaces, e.g., radical living graft polymerization.
Few universal methods can functionalize particles of different compositions, sizes, shapes, and structures. This study describes the amyloid‐like protein‐assembly‐mediated surface modification and functionalization of particles and living colloids with different compositions, sizes, shapes, and structures. The establishment of this new surface engineering technique for particles and living cells can lead to a diverse array of tools for chemistry and materials.
Two distinctive orientation relations between hexagonal close-packed (HCP) phase and face-centered cubic (FCC) phase were observed simultaneously in cold-rolled pure Zr, which were denoted as B-type ...and P-type orientation relations according to whether the phase interface is parallel to the basal plane or prism plane of the HCP matrix. The mechanisms for the phase transformation generating the two different HCP-FCC orientation relations were thoroughly analyzed. B-type orientation relation was achieved when HCP to FCC phase transformation occurred via collective gliding of Shockley partial dislocations on basal planes, while P-type orientation relation was attained through pure-shuffle and shear-shuffle mechanisms.
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With the rapid increase in encrypted traffic in the network environment and the increasing proportion of encrypted traffic, the study of encrypted traffic classification has become increasingly ...important as a part of traffic analysis. At present, in a closed environment, the classification of encrypted traffic has been fully studied, but these classification models are often only for labeled data and difficult to apply in real environments. To solve these problems, we propose a transferable model called CBD with generalization abilities for encrypted traffic classification in real environments. The overall structure of CBD can be generally described as a of one-dimension CNN and the encoder of Transformer. The model can be pre-trained with unlabeled data to understand the basic characteristics of encrypted traffic data, and be transferred to other datasets to complete the classification of encrypted traffic from the packet level and the flow level. The performance of the proposed model was evaluated on a public dataset. The results showed that the performance of the CBD model was better than the baseline methods, and the pre-training method can improve the classification ability of the model.
The Pearl River Estuary Area was selected for this study. For the past 40 years, it has been one of the most complex coasts in China, yet few studies have analyzed the complexity and variations of ...the area’s different coastlines. In this investigation, the coastlines of the Pearl River Estuary Area were extracted from multi-temporal Landsat remote sensing data from 1978, 1988, 1997, 2008, and 2018. The coastline of this area was classified into mainland, island, and estuarine. To obtain more detailed results of the mainland and island, we regarded this area as the main body, rezoned into different parts. The box-counting dimension was applied to compute the bidimensional (2D) fractal dimension. Coastline length and the fractal dimension of different types of coastline and different parts of the main body were calculated and compared. The fractal dimension of the Pearl River Estuary Area was found to have increased significantly, from 1.228 to 1.263, and coastline length also increased during the study period. The island and mainland showed the most complex coastlines, while estuaries showed the least complexity during the past forty years. A positive correlation was found between length and 2D-fractal dimension in some parts of the study area. Land reclamation had the strongest influence on fractal dimension variations.
In fault detection and the diagnosis of large industrial systems, whose chemical processes usually exhibit complex, high-dimensional, time-varying and non-Gaussian characteristics, the classification ...accuracy of traditional methods is low. In this paper, a kernel limit learning machine (KELM) based on an adaptive variation sparrow search algorithm (AVSSA) is proposed. Firstly, the dataset is optimized by removing redundant features using the eXtreme Gradient Boosting (XGBOOST) model. Secondly, a new optimization algorithm, AVSSA, is proposed to automatically adjust the network hyperparameters of KELM to improve the performance of the fault classifier. Finally, the optimized feature sequences are fed into the proposed classifier to obtain the final diagnosis results. The Tennessee Eastman (TE) chemical process is used to verify the effectiveness of the proposed method through multidimensional diagnostic metrics. The results show that our proposed diagnosis method can significantly improve the accuracy of TE process fault diagnosis compared with traditional optimization algorithms. The average diagnosis rate for 21 faults was 91.00%.
Pancreatic cancer is a highly lethal malignant tumor, which has the characteristics of occult onset, low early diagnosis rate, rapid development and poor prognosis. The reason for the high mortality ...is partly that pancreatic cancer is usually found in the late stage and missed the best opportunity for surgical resection. As a promising detection technology, liquid biopsy has the advantages of non-invasive, real-time and repeatable. In recent years, the continuous development of liquid biopsy has provided a new way for the detection and screening of pancreatic cancer. The update of biomarkers and detection tools has promoted the development of liquid biopsy. Circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), circulating tumor RNA (ctRNA) and extracellular vesicles (EVs) provide many biomarkers for liquid biopsy of pancreatic cancer, and screening tools around them have also been developed. This review aims to report the application of liquid biopsy technology in the detection of pancreatic cancer patients, mainly introduces the biomarkers and some newly developed tools and platforms. We have also considered whether liquid biopsy technology can replace traditional tissue biopsy and the challenges it faces.
When individuals pursuing personal goals encounter setbacks and failures, they often fall into a conflict between disengaging from and striving toward the goal, defined as an action crisis. The ...present study investigated the influence and mechanism of self-transcendence meaning of life (STML) on goal disengagement and reengagement during a high versus a low action crisis. Study 1 included situations with different action crises. In Study 1, participants with high STML exhibited significantly higher goal disengagement and reengagement during high action crisis compared with low action crisis. Study 2 replicated the findings in Study 1 using participants' personal goals by questionnaires, and further exhibited that action crisis had negative effect on self-efficacy for participants with low STML, and this process subsequently reduced goal adjustment. Interestingly, no mediation effect of self-efficacy was found between action crisis and goal adjustment among participants with high STML. Findings from the present study suggest that releasing obsessions and adopting a dialectical relationship between success and failure may help individuals in high action-crisis situations, and self-efficacy may provide flexibility and autonomy.
Three different empirical models based on Landsat, MERIS, and MODIS sensors were used to retrieve TSM concentrations and construct long-term TSM image datasets during the period from 2003 to 2011. ...These datasets were utilized to evaluate the suitability of Landsat, MERIS, and MODIS for identifying spatial distribution patterns of TSM concentration based on a self-organizing map (SOM) algorithm in the Pearl River Estuary (PRE). 12 spatial distribution patterns of TSM in the PRE were identified from long-term TSM data of each sensor based on a 4 × 3 SOM array. The expected frequency of occurrence of any given pattern and relative frequency of occurrence of each pattern were calculated and analyzed. The factors that influence the variability of TSM and the spatial distribution patterns of TSM were explained by the contribution of human activities, precipitation, and characteristics of satellite sensors. Our results showed that similar spatial distribution patterns of TSM were extracted from three different TSM image datasets. Each pattern presented a strip distribution from northeast to southwest, and the values of TSM decreased regularly from northwest to southeast. However, patterns identified from Landsat and MODIS TSM images presented some anomalous patterns, which were inconsistent with local circumstances and previous studies. High (low) level spatial distribution patterns of TSM in the SOM array were associated with a variety of high (low) values of TSM concentration in the PRE. Frequency analyses of each pattern demonstrated that notable differences of TSM concentration existed in the PRE from 2003 to 2011. These findings can assist us to better understand the dynamics of TSM concentration and the performance of different empirical models established by Landsat, MERIS, and MODIS for identifying spatial distribution patterns of TSM concentration using the SOM algorithm.
•Long-term TSM of PRE was mapped using three models from Landsat, MERIS and MODIS.•12 spatial patterns of TSM were identified using self-organizing map (SOM) algorithm.•The patterns were controlled by human activities, precipitation and satellite sensors.
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