Ke Li

China University of Mining and Technology

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Chuanjie Zhu

China University of Mining and Technology

Baiquan Lin

China University of Mining and Technology

Guo‐Jun Kang

China University of Mining and Technology

Xue‐Feng Ren

China University of Mining and Technology

Jin‐Feng Ma

China University of Mining and Technology

Zhou Zhang

University of Electronic Science and Technology of China

Liqiang Ma

China University of Mining and Technology

Cong Ma

China University of Mining and Technology

Lei Lü

University of Manitoba

Usha R. Mittoo

University of Manitoba

Cooperative Institutions

China University of Mining and Technology

Chinese Academy of Sciences

Central South University

State Key Joint Laboratory of Environment Simulation and Pollution Control

Beijing Normal University

Peking University

Shandong University

University of Chinese Academy of Sciences

Zhejiang University

Xuzhou University of Technology

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Experimental investigation into coal wettability changes caused by reactions with scCO2-H2O

Gas Science and Engineering (2024)

Ke Li Chuanjie Zhu Jiamin Wan Tetsu K. Tokunaga Na Liu

Bituminous coal

Carbon fibers

10.1016/j.jgsce.2024.205366

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Study on the Relationship between the Reduction of Attributes and Approximation Sets

Ke Li

Upper approximation and lower approximation are the most elementary concepts in rough set theory, while the primary idea in rough set theory is to deduct the decision and rule of classification through reducing the attributes and keeping the ability of classification unchanged. This paper discusses the relationship of reduct and relative reduct and the upper approximation and lower approximation. On the basis of the relationship we propose a novel relative reductholding approximation reduct.

Reduct

Basis (linear algebra)

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Impact of Macroeconomic Factors towards Price Index Performance in New York Stock Exchange Market

Journal of Business and Social Sciences (2024)

Yang Zhi-qiang Ke Li Wang Linxuan

The NYSE is the world's biggest exchange market. Performance of the stock market has a big impact on how wealthy the economy is and how people live their daily lives. The stock price index, which serves as a benchmark for stock market performance, is a crucial tool for assessing each nation's economic situation. As a result, a significant amount of study has been done to determine how macroeconomic factors affect the performance of stock price indices. However, the literature does not support a consistent conclusion, but rather offers contradictory results. This study's objective is to dispel uncertainty in the literature by presenting fresh ideas that can improve descriptions of and understandings of stock price index performance. The aim of this research is to examine the New York Stock Exchange index for a span of four years that is between 2017 and 2021. Also, to examine stock price index performance and macroeconomics indicators. The NYSE Composite Index (NYA), which measures stock price index performance over the Nyse period 2017 to 2021, serves as the study's dependent variable (DV), and the GDP, rate of interest, inflation rate, and exchange rate serve as its independent variables (IVs). All of the companies listed and operating on the New York Stock Exchange (NYSE), as represented by NYA, are the study's target population. Secondary data were employed in this investigation. The DV data was acquired from NYSE websites, whilst the IVs were taken from reliable sources like the World Bank and International Money Fund. Regression analysis, descriptive statistics, and the reliability test were the only data analysis techniques used in this study.

10.61453/jobss.v2024no24

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Board Independence, Ownership Concentration and Corporate Performance

SSRN Electronic Journal (2011)

Ke Li Lei Lü Usha R. Mittoo Zhou Zhang

This paper investigates two successive reforms in China -- 2001 board independence and 2005 share structure -- to study their joint effects on corporate performance as ownership concentration declines. We find that both independent directors and ownership concentration ratios are individually positively correlated with firm performance, and the positive effect of board independence strengthens as ownership concentration declines. However, the effect varies by the types of ownership. Private-controlled firms experience statistically and economically significant positive effects on firm performance, whereas state-controlled firms have insignificant effects. Our results support the notion that the board effectiveness depends not only on ownership concentration but also on ownership types and the country’s institutional environment.

Independence

10.2139/ssrn.1919277

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Characteristics of Infrared Radiation of Coal Specimens Under Uniaxial Loading

Rock Mechanics and Rock Engineering (2015)

Liqiang Ma Hai Sun Yao Zhang Tao Zhou Ke Li

10.1007/s00603-015-0780-4

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Citations (62)

How Well Do Investors Understand Loss Persistence? - eScholarship

Ke Li

This dissertation examines investors' expectations of loss persistence. Loss persistence varies across firms. I develop a model to forecast loss firms' future earnings based on Joos and Plesko (2005). This model produces smaller forecast errors than random walk models or a model that assumes losses are transitory. Using the forecast earnings generated by the model, I classify losses observations into predicted persistent losses and transitory losses. Predicted persistent losses are loss observations with forecast earnings in the lowest quintile of the quarterly distribution, while predicted transitory losses are loss observations in the highest quintile of the distribution.Using the Mishkin (1983) framework, I examine investors' expectations of loss persistence embedded in the stock prices. The results suggest that investors do not fully distinguish the differences in loss persistence captured by the model, and instead appear to assume that all losses are transitory. Consequently, investors are surprised by future announcements of negative earnings for firms with predicted persistent losses, and these firms experience significantly negative abnormal returns over the following four quarters. Consistent with market underreacting to loss persistence of firms with predicted persistent losses, the future negative abnormal returns of these firms are clustered around future earnings announcement dates. Security analysts and institutional investors are sophisticated market participants. The expectations embedded in analyst forecasts, albeit optimistic, largely capture the difference in loss persistence. As a result, the future negative returns of firms with predicted persistent losses are smaller in magnitude when these firms are followed by more analysts. The future negative returns of firms with predicted persistent losses are also smaller in magnitude when these firms have higher institutional holdings, suggesting that the optimistic bias about loss persistence is concentrated in naive retail investors.The results are robust to controls for various risk factors and price anomalies. The results are not driven by short sales constraints or influential observations. Finally, the results are not driven by factors related to the new economy industries.

Persistence (discontinuity)

Stock (firearms)

Job loss

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Secondary reactions suppression during fuel fast pyrolysis in an infrared heating apparatus for the fixed bed pyrolysis process with internals

Journal of Analytical and Applied Pyrolysis (2021)

Fang Wang Xi Zeng Guo‐Jun Kang Ke Li Jin‐Feng Ma

tar (computing)

Coal tar

Carbon fibers

10.1016/j.jaap.2021.105163

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Revealing the marked differences of phosphorescence efficiencies on C^˄N^˄N‐coordinated Pt(II) complexes: A theoretical study

Applied Organometallic Chemistry (2020)

Xue‐Feng Ren Xia Liu Guo‐Jun Kang Ke Li

In this study, green phosphorescent Pt(II) complexes with N,N‐diphenyl‐6‐(1H‐pyrazol‐1‐yl)pyridin‐2‐amine (Ndpp) coordinated ligands, [Pt (Ndpp)Cl] 2a , [Pt (Ndpp)Pb, Pb = (prop‐1‐ynyl)benzene] 2b , and [Pt (Ndpp)CN] 2aCN were theoretically investigated by means of density functional theory and time‐dependent density functional theory calculations to reveal their marked distinct phosphorescence quantum yields. These complexes exhibit evident absorption bands in the 200–450 nm region but emit strong green light with marked differences of phosphorescence quantum yields. Compared with the complex 2a , the complex 2b possesses large oscillator strengths of absorption spectra, strong spin‐orbit coupling, and transition electric dipole moment, as well as small singlet‐triplet splitting energies, which conduces to enhancing its radiative decay. To illustrate the nonradiative decay process, the transition state (TS) between the triplet metal‐centered ( 3 MC) state and the excited state ( T 1 ) was optimized. The 3 MC state is found to be the minimum energy crossing point (MECP) between the T 1 state and the S 0 state. Compared with the complex 2a , the complex 2b possesses a much larger energy barrier to the MECP state from the T 1 state, so it is strongly emissive in the green region. Besides, the introduction of CN substitutions on 2a is useful for enhancing the energy barrier to the thermal deactivation pathway of 3 MLCT → TS → MECP. These results demonstrate that the modification of metal–ligand conjugation is an effective way to develop high‐performance phosphorescent materials.

Intersystem crossing

10.1002/aoc.6072

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A randomized generalized low rank approximations of matrices algorithm for high dimensionality reduction and image compression

Numerical Linear Algebra with Applications (2020)

Ke Li Gang Wu

Summary High‐dimensionality reduction techniques are very important tools in machine learning and data mining. The method of generalized low rank approximations of matrices (GLRAM) is a popular technique for dimensionality reduction and image compression. However, it suffers from heavily computational overhead in practice, especially for data with high dimension. In order to reduce the cost of this algorithm, we propose a randomized GLRAM algorithm based on randomized singular value decomposition (RSVD). The theoretical contribution of our work is threefold. First, we discuss the decaying property of singular values of the matrices during iterations of the GLRAM algorithm, and provide a target rank required in the RSVD process from a theoretical point of view. Second, we establish the relationship between the reconstruction errors generated by the standard GLRAM algorithm and the randomized GLRAM algorithm. It is shown that the reconstruction errors generated by the former and the latter are comparable, even if the solutions are computed inaccurately during iterations. Third, the convergence of the randomized GLRAM algorithm is investigated. Numerical experiments on some real‐world data sets illustrate the superiority of our proposed algorithm over its original counterpart and some state‐of‐the‐art GLRAM‐type algorithms.

Singular value

Rank (graph theory)

Randomized Algorithm

10.1002/nla.2338

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WATER VAPOR RESOURCES BALANCE IN CHONGQING

Changjiang liuyu ziyuan yu huanjing (2010)

Ke Li

On the basis of sounding data at 11 stations from 1987 to 2006 in Chongqing and its surrounding area,the characteristics of the water vapor flux transport from various boundaries of Chongqing were analyzed.The results showed that the average net budget of water vapor flux in total layers over Chongqing was positive,and there was net water vapor inflow into Chongqing.The net budget of water vapor flux had the largest outflow in the layer between ground and 850hPa and the largest inflow in the layer between 700 and 500 hPa.There was inflow of net water vapor over Chongqing in summer and winter,while there was outflow of net water vapor over Chongqing in spring and autumn.The water vapor over Chongqing mainly came from the inflow of the western and the southern boundary and effused through the eastern and the northern boundary.The net water vapor flux over Chongqing decreased in spring and winter,but increased in summer and autumn in the past 20 years.

Inflow

Outflow

Water balance

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