A5100683677- Corporate Social Responsibility Reporting
- Corporate Finance and Governance
- VLSI and Analog Circuit Testing
- Integrated Energy Systems Optimization
- Optimal Power Flow Distribution
- Environmental Sustainability in Business
- Auditing, Earnings Management, Governance
- Integrated Circuits and Semiconductor Failure Analysis
- Engineering and Test Systems
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- Energy Load and Power Forecasting
- Public Procurement and Policy
- Electric Power System Optimization
- Gender Diversity and Inequality
- Nanowire Synthesis and Applications
- Quantum Dots Synthesis And Properties
- ZnO doping and properties
- Risk Management in Financial Firms
- Hybrid Renewable Energy Systems
- Smart Grid Energy Management
- Interpreting and Communication in Healthcare
- Machine Learning in Bioinformatics
- Private Equity and Venture Capital
- Text and Document Classification Technologies
Hunan University
2004-2024
State Key Laboratory of Chemobiosensing and Chemometrics
2010
Integrated energy systems (IES) strengthen the interaction among electricity, gas and heat systems, concept of low-carbon development can further reduce carbon emissions IES. However, uncertainty IES reduces supply flexibility complexity different chains accuracy trading volume. Therefore, this study proposes a low economic scheduling considering life cycle assessment (LCA) risk cost. First, generated from chain conversion processes in are analyzed by method. Subsequently, calculated...
Pure ZnO hexagonal microwires and Fe(III)-doped (MWs) with a novel rectangular cross section were synthesized in confined chamber by convenient one-step thermal evaporation method. An oriented attachment mechanism is consistent vapor-solid growth process. Photoluminescence (PL) Raman spectroscopy of the MWs situ spectral mappings indicate quasi-periodic distribution Fe(III) along one-dimensional (1-D) superlattice ZnO:ZnFe2O4 wire, while PL mapping shows presence optical multicavities...
Building on the TMT behavioral integration of upper echelon theory, this study explores whether stability top management team (TMT) affects sustainable corporate social responsible activities (CSR). We also examine how stability-sustainable CSR relationship is moderated by CEO power. Analyzing a dataset publicly listed firms in China for period 2009–2017, we provide evidence that relatively stable engages CSR. This finding supports argument focuses long-term development. Moreover, positive...
Based on the perspective of changes CSRC's chairman, this paper investigates relationship between regulatory uncertainty and corporate financialization. We find that positively affects financialization through increasing firms' motivation. Specifically, both decline policy continuity intensity caused by chairman improve The positive is more pronounced in non-state-owned firms non-strategic emerging industries. These findings have implications for listed policy-makers to prevent transforming...
Time-course gene expression datasets, which record continuous biological processes of genes, have recently been used to predict function. However, only few positive genes can be obtained from annotation databases, such as ontology (GO). To obtain more useful information and effectively function, annotations are clustered together form a learnable effective learning system. In this paper, we propose novel multi-instance hierarchical clustering (MIHC) method establish system by GO compare with...
According to circuit decomposition technology and crossover tearing technology, a fast approach of module level fault diagnosis for large analog based on BP (back propagation) neural network is presented. The new parallel diagnosis, so modules can be located quickly effectively. availability the method examined by simulation.
In the context of energy transition and low-carbon electricity, a economic dispatching model integrated system (IES) is built, which considers power-to-gas (P2G) carbon trading mechanism to improve efficiency minimize emissions. Firstly, operating characteristic P2G analyzed, an interval-adaptive ladder-type considering emission reduction benefit proposed. Then, proposed introduced into system, IES taking account uncertainty renewable output constructed. Finally, The numerical case study...
This study examined how auditors respond to hometown CEOs using social identity theory. We found that negatively affect audit fees through the reputation concerns and information advantages mechanisms, reflected as lower financial litigation risks in their firms. Moreover, this negative relationship is more pronounced among firms immersed a stronger clan culture, non-state-owned firms, those whose enjoy longer tenures, while it less possess foreign residency rights. These findings have...
Gene function annotation is the main challenge in post genome era, which an important part of annotation. The sequencing human project produces a whole data, providing abundant biological information for study gene However, to obtain useful knowledge from large amount potential strategy apply machine learning methods mine these data and predict function. In this study, we improved multi-instance hierarchical clustering by using ontology hierarchy annotate function, combines with multi-label...
Corporate Governance affects corporate financial decisions and is a source of performance. This study investigates the complex interplay between governance, leverage, profitability for sample Korean firms. We used data from 510 Koran firms 2010 to 2020 employed Ordinary Least Square estimation technique. Our results show that governance components such as board size, females on board, audit quality neither impact firms’ leverage nor their profitability. However, improves have managerial...
According to circuit decomposition technology and crossover tearing technology, a fast approach of module level fault diagnosis for analog based on BPNN (back propagation neural network) is presented. Because the networks can create dictionary, memorize verify it simultaneously, computation time drastically reduced. The new parallel diagnosis, so modules be located quickly effectively. Two examples are given illustrate both small large-scale circuits.
The short-term interval load forecasting accuracy of the power system has an important impact on operation. A model based ALO-ML-ELM is proposed for load-interval without considering trend and inaccurate construction. Firstly, weather, temperature, historical data are processed normalized by taking influencing factors into account. Then constructed fitting a normal distribution to error data, obtaining relevant parameters, generating random noise. Next, prediction established optimizing...