Factors Influencing Commercial Bank Performance: A Case Study on Commercial Banks in China

A steady bank system is important cornerstones which can help modern economies maintain stability and healthy development. In order to achieve this goal, China's banking industry has experienced a long-term reformed process. The purpose of this study is to research some vital factors which influence performance of the commercial banks industry in China. This study takes 4 state-owned and 2 joint-stock commercial banks of China as the research sample, by analyzing the impact of the economic variables and bank specific variables on bank performance. The variables are real growth rate, inflation rate, exchange rate, global finance crisis (for economic variables) and bank’s risk management-loan to deposit and equity ratio, bank’s size, property sector, net interest margin factors, interest income ratio and deposit-assets ratio (for bank specific variables). The bank performance is measured by ROE. The findings show that all variables contribute 85.8% to the commercial bank performance in China. Seven factors namely exchange rate, bank’s risk management- equity ratio, bank’s size, net interest margin factors, interest income ratio and deposit-assets ratio are significant determinants of bank performance in China

Counterexample-Preserving Reduction for Symbolic Model Checking

The cost of LTL model checking is highly sensitive to the length of the formula under verification. We observe that, under some specific conditions, the input LTL formula can be reduced to an easier-to-handle one before model checking. In our reduction, these two formulae need not to be logically equivalent, but they share the same counterexample set w.r.t the model. In the case that the model is symbolically represented, the condition enabling such reduction can be detected with a lightweight effort (e.g., with SAT-solving). In this paper, we tentatively name such technique "Counterexample-Preserving Reduction" (CePRe for short), and finally the proposed technquie is experimentally evaluated by adapting NuSMV

Widespread dispersal and aging of organic carbon in shallow marginal seas

The occurrence of pre-aged organic carbon (OC) in continental margin surface sediments is a commonly observed phenomenon, yet the nature, sources, and causes of this aged OC remain largely undetermined for many continental shelf settings. Here we present the results of an extensive survey of the abundance and radiocarbon content of OC in surface sediments from the northern Chinese marginal seas. Pre-aged OC is associated with both coarser (>63 µm) and finer (<63 µm) sedimentary components; measurements on specific grain-size fractions reveal that it is especially prevalent within the 20–63 µm fraction of inner shelf sediments. We suggest that organic matter associated with this sortable silt fraction is subject to protracted entrainment in resuspension-deposition loops during which it ages, is modified, and is laterally dispersed, most likely via entrainment within benthic nepheloid layers. This finding highlights the complex dynamics and predepositional history of organic matter accumulating in continental shelf sediments, with implications for our understanding of carbon cycling on continental shelves, development of regional carbon budgets, and interpretation of sedimentary records

ProtoDiv: Prototype-guided Division of Consistent Pseudo-bags for Whole-slide Image Classification

Due to the limitations of inadequate Whole-Slide Image (WSI) samples with weak labels, pseudo-bag-based multiple instance learning (MIL) appears as a vibrant prospect in WSI classification. However, the pseudo-bag dividing scheme, often crucial for classification performance, is still an open topic worth exploring. Therefore, this paper proposes a novel scheme, ProtoDiv, using a bag prototype to guide the division of WSI pseudo-bags. Rather than designing complex network architecture, this scheme takes a plugin-and-play approach to safely augment WSI data for effective training while preserving sample consistency. Furthermore, we specially devise an attention-based prototype that could be optimized dynamically in training to adapt to a classification task. We apply our ProtoDiv scheme on seven baseline models, and then carry out a group of comparison experiments on two public WSI datasets. Experiments confirm our ProtoDiv could usually bring obvious performance improvements to WSI classification.Comment: 12 pages, 5 figures, and 3 table

THE MODEL OF ANALOG COMPLEXING ALGORITHM BASED ON EMPIRICAL MODE DECOMPOSITION METHOD

Analog Complexing (AC) algorithm can be considered a sequential pattern recognition method for prediction. However, financial Time-series data are often nonlinear and non-stationary, which cause some difficulties when used AC algorithm in prediction. Aiming at this problem, in this paper, using Empirical Mode Decomposition (EMD) to handle original data, and we will obtain a series of stationary Intrinsic Mode Functions (IMF); then each IMF is predicted dynamically by AC. By the empirical studies on NYMEX Crude Oil Futures price show that AC algorithm based on EMD method have high precision in 1 step and 3 steps dynamically prediction. Key words: Analog Complexing algorithm, Empirical Mode Decomposition, Intrinsic Mode Function, Dynamically predictio

A New Application of Ethylenediamine to Improve CO2 Sweep Efficiency in Extremely-Low Permeability Reservoir

 Gas breakthrough is a common problem in CO2 displacement. This paper provides a new method with ethylenediamine to improve the efficiency of CO2 injection, sealing off the breakthrough channel. Experiments in porous medium model show that the ethylenediamine system can be easily injected into extremely low permeability reservoir, it can react with CO2 and the generated carbonate will reduce the permeability of the flooding region, causing the breakthrough pressure reaches 22MPa, hence, the swept efficiency is improved. Oil displacement experiment with heterogeneous core shows that the recovery factor is improved by 19.8%. Additionally, the ethylenediamine system shows high temperature resistance and CO2 erosion resistance. It also has an advantage of selective plugging, it will not injury the reservoir where CO2 does not pass by as long as we chose the suitable injection speed, prepositive and postpositive slug. So we could control CO2 breakthrough by profile control. Key words:  ethylenediamine; plugging; CO2; heterogeneity; profile contro