Pore characteristics and influencing factors of different types of shales

2019 ◽  
Vol 102 ◽  
pp. 391-401 ◽  
Author(s):  
Fulai Li ◽  
Maozhen Wang ◽  
Shaobo Liu ◽  
Yiwei Hao
Keyword(s):  
Influencing Factors ◽  
Pore Characteristics ◽  
Different Types

scholarly journals The Tripartite Regulation Game of Carbon Financial Products Based on the Prospect Theory

2020 ◽  
Vol 8 ◽  
Author(s):  
Xiaoran Yu ◽  
Guanglong Dong ◽  
Changyu Liu
Keyword(s):  
Information Asymmetry ◽  
Prospect Theory ◽  
Bounded Rationality ◽  
Influencing Factors ◽  
Financial Institutions ◽  
Behavioral Strategy ◽  
Financial Products ◽  
Different Types ◽  
Game Players ◽  
High Information

Because of the high information asymmetry of carbon financial products (CFPs), financial institutions infringing on the rights of investors occurred worldwide. However, few studies focused on how to protect investors effectively. In this paper, from the perspective of regulation, we analyze the game relationships among governments, financial institutions, and investors. Following this, the tripartite regulation game of CFPs is further constructed. Meanwhile, centered on heterogeneity and bounded rationality, we divide participants in this game into two types: tough or weak ones, and the strategies for different types of game players are compared based on the prospect theory. Moreover, through discussion of the deterrence equilibrium, challenge equilibrium, and separation equilibrium, the crucial influencing factors of the behavioral strategy are explored separately. Finally, some countermeasures of CFPs are put forward for governments to design appropriate regulation policies.

scholarly journals Influencing Factors of Multiple Adverse Outcomes Among Schizophrenia Patients Using Count Regression Models: A Cross-Sectional Study

2021 ◽  
Author(s):  
Lichang Chen ◽  
Wenyan Tan ◽  
Xiao Lin ◽  
Haicheng Lin ◽  
Junyan Xi ◽  
...  
Keyword(s):  
Risk Factor ◽  
Influencing Factors ◽  
Violent Crime ◽  
Regression Models ◽  
Negative Binomial ◽  
Suicide Attempts ◽  
Adverse Outcomes ◽  
Different Types ◽  
History Of ◽  
Self Harm

Abstract Background: Schizophrenia patients have increased risks of several adverse outcomes, including violent crime, aggressiveness and suicide. However, studies of different adverse outcomes in the same population are rare and the influencing factors for these outcomes need clarification by appropriate models. This study aimed to identify influencing factors of these adverse outcomes by examining and comparing different count regression models.Methods: This study included schizophrenia patients who had at least once follow-up record in the Guangdong Mental Health Center Network Medical System during 2020. Three types of adverse outcomes including a) aggressiveness with police dispatch or violence crime, b) aggressiveness without police dispatch, and c) self-harm or suicide attempts. First, we investigated the incidence of these adverse outcomes in each type. Second, the Poisson, negative binomial (NB), zero-inflated Poisson (ZIP), and zero-inflated negative binomial (ZINB) regression models were fitted and compared for their intensity. Finally, We analysed associations between these adverse outcomes intensity and sociodemographic, clinical factors with the best model. Results: A total of 130474 schizophrenia patients were selected. Each type of adverse outcomes was reported by less than 1% of schizophrenia patients in 2020. NB regression model is the best model for fitting the number of aggressiveness without police dispatch because of the best goodness of fit and relatively simple interpretation, whereas ZINB models for the other two outcomes. Age, sex, and history of adverse outcomes were influencing factors shared across these adverse outcomes. Higher educational level, employment were protective factors shared between aggressiveness with police dispatch or violent crime , and aggressiveness without police dispatch. Aggressiveness without police dispatch , and self-harm or suicide attempts shared older onset age (≥18 years) as a risk factor. Family history of mental disease was a risk factor of self-harm or suicide attempts individually.Conclusions: NB and ZINB models were selected for fitting the number of adverse outcomes in our studies. Influencing factors for adverse outcomes intensity included both those shared across different types and those individual to specific types. Therefore, combined and customized tools in risk assessment and intervention for different types of these outcomes might be necessary.

scholarly journals Integrating Landslide Typology with Weighted Frequency Ratio Model for Landslide Susceptibility Mapping: A Case Study from Lanzhou City of Northwestern China

2021 ◽  
Vol 13 (18) ◽  
pp. 3623
Author(s):  
Heping Shu ◽  
Zizheng Guo ◽  
Shi Qi ◽  
Danqing Song ◽  
Hamid Reza Pourghasemi ◽  
...  
Keyword(s):  
Influencing Factors ◽  
Landslide Susceptibility ◽  
Frequency Ratio ◽  
Assessment Process ◽  
Northwestern China ◽  
Formation Mechanisms ◽  
Ratio Model ◽  
Lanzhou City ◽  
Different Types ◽  
Frequency Ratio Model

Although numerous models have been employed to address the issue of landslide susceptibility at regional scale, few have incorporated landslide typology into a model application. Thus, the aim of the present study is to perform landslide susceptibility zonation taking landslide classification into account using a data-driven model. The specific objective is to answer the question: how to select reasonable influencing factors for different types of landslides so that the accuracy of susceptibility assessment can be improved? The Qilihe District in Lanzhou City of northwestern China was undertaken as the test area, and a total of 12 influencing factors were set as the predictive variables. An inventory map containing 227 landslides was created first, which was divided into shallow landslides and debris flows based on the geological features, distribution, and formation mechanisms. A weighted frequency ratio model was proposed to calculate the landslide susceptibility. The weights of influencing factors were calculated by the integrated model of logistic regression and fuzzy analytical hierarchy process, whereas the rating among the classes within each factor was obtained by a frequency ratio algorithm. The landslide susceptibility index of each cell was subsequently calculated in GIS environment to create landslide susceptibility maps of different types of landslide. The analysis and assessment process were separately performed for each type of landslide, and the final landslide susceptibility map for the entire region was produced by combining them. The results showed that 73.3% of landslide pixels were classified into “very high” or “high” susceptibility zones, while “very low” or “low” susceptibility zones covered only 3.6% of landslide pixels. The accuracy of the model represented by receiver operating characteristic curve was satisfactory, with a success rate of 70.4%. When the landslide typology was not considered, the accuracy of resulted maps decreased by 1.5~5.4%.

The Effect of Surfactant Extraction Method on Pore Characteristics of Mesoporous Carbonated Hydroxyapatite

2013 ◽  
Vol 858 ◽  
pp. 190-198 ◽  
Author(s):  
Nur Farahiyah Mohammad ◽  
Radzali Othman ◽  
Fei Yee Yeoh
Keyword(s):  
Drug Delivery ◽  
Surface Area ◽  
High Surface ◽  
High Surface Area ◽  
Synthesis Process ◽  
Ionic Surfactant ◽  
Pore Characteristics ◽  
Carbonated Hydroxyapatite ◽  
Different Types ◽  
Surfactant Removal

Incorporated with pore sizes of 2-50 nm, CHA was found to be a promising drug delivery agent for disease treatment and could be a carrier for different types of proteins. A desired drug delivery system should consist of an ordered pore network, optimum pore size, and volume, as well as a high surface area, to allow a high drug adsorption rate, controllable drug loading, and release. However, until now, most results are still not up to expectation; since the BET surface area and pore volume obtained has been rather low, compared to the existing mesoporous silica. The objective of this work was to investigate the effect of surfactant washing on the pore characteristics and the importance of this step in the synthesis process of mesoporous carbonated hydroxyapatite (CHA). In this study, mesostructured CHA particles were prepared, via a self-assembly mechanism, between CHA and non-ionic surfactant (P123), using the co-precipitation synthesis method. The synthesized mesoporous CHA samples were washed five times using different types of solvents for surfactant removal. A sphere-like particle shape of CHA was observed under SEM for all samples; regardless of the type of solvent used. The formation of CHA was confirmed by FTIR analysis, where the carbonate ion peaks were observed in the spectrums. It was found that the mesoporous CHA with a high surface area was synthesized when high polarity solvents were used during surfactant washing. These results imply that high surface area mesoporous CHA can be obtained through surfactant washing, without applying calcination for surfactant removal, which may change the structure of the CHA during heat treatment.

scholarly journals From HMI to HMIs: Towards an HMI Framework for Automated Driving

Information ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 61 ◽  
Author(s):  
Klaus Bengler ◽  
Michael Rettenmaier ◽  
Nicole Fritz ◽  
Alexander Feierle
Keyword(s):  
Research And Development ◽  
Influencing Factors ◽  
Automated Driving ◽  
Research Gaps ◽  
Automated Vehicle ◽  
Road Users ◽  
Human Machine Interfaces ◽  
Factors Influencing ◽  
Different Types ◽  
The Relationship

During automated driving, there is a need for interaction between the automated vehicle (AV) and the passengers inside the vehicle and between the AV and the surrounding road users outside of the car. For this purpose, different types of human machine interfaces (HMIs) are implemented. This paper introduces an HMI framework and describes the different HMI types and the factors influencing their selection and content. The relationship between these HMI types and their influencing factors is also presented in the framework. Moreover, the interrelations of the HMI types are analyzed. Furthermore, we describe how the framework can be used in academia and industry to coordinate research and development activities. With the help of the HMI framework, we identify research gaps in the field of HMI for automated driving to be explored in the future.

scholarly journals Study of the icing growth characteristic and its influencing factors for different types of insulators

2016 ◽  
Vol 24 ◽  
pp. 1571-1585
Author(s):  
Zhijin ZHANG ◽  
Dongdong ZHANG ◽  
Xingliang JIANG ◽  
Haizhou HUANG ◽  
David Wenzhong GAO
Keyword(s):  
Influencing Factors ◽  
Growth Characteristic ◽  
Different Types
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