A5035330165- Reading and Literacy Development
- Second Language Acquisition and Learning
- EFL/ESL Teaching and Learning
- Cognitive and developmental aspects of mathematical skills
- Corporate Finance and Governance
- Neurobiology of Language and Bilingualism
- Job Satisfaction and Organizational Behavior
- Antibiotic Resistance in Bacteria
- Music and Audio Processing
- Speech and Audio Processing
- Writing and Handwriting Education
- Text Readability and Simplification
- Stochastic processes and financial applications
- Multilingual Education and Policy
- X-ray Diffraction in Crystallography
- Crystallization and Solubility Studies
- Language Development and Disorders
- Second Language Learning and Teaching
- Concrete and Cement Materials Research
- RNA modifications and cancer
- Speech Recognition and Synthesis
- Phase Change Materials Research
- Ferroptosis and cancer prognosis
- Bacterial Identification and Susceptibility Testing
- Antibiotics Pharmacokinetics and Efficacy
University of Science and Technology of China
2015-2025
City University of Macau
2024-2025
Shenzhen University
2023-2025
Renji Hospital
2009-2024
Shanghai Jiao Tong University
2015-2024
East China Normal University
2017-2024
Chengdu University of Technology
2023-2024
Shanghai University
2010-2024
Fujian Academy of Agricultural Sciences
2023-2024
Rice Research Institute
2023-2024
The automatic recognition of sound events by computers is an important aspect emerging applications such as automated surveillance, machine hearing and auditory scene understanding. Recent advances in learning, well computational models the human system, have contributed to this increasingly popular research field. Robust event classification, ability recognise sounds under real-world noisy conditions, especially challenging task. Classification methods translated from speech domain, using...
Traditional sound event recognition methods based on informative front end features such as MFCC, with back sequencing HMM, tend to perform poorly in the presence of interfering acoustic noise. Since noise corruption may be unavoidable practical situations, it is important develop more robust and classifiers. Recent advances this field use powerful machine learning techniques high dimensional input spectrograms or auditory image. These improve robustness largely thanks discriminative...
Abstract The current research on the slack–performance relationship pays attention mainly to a set of overlapping slack natures, such as being sticky or absorbed, without sufficient consideration variables related internal structure given organization. We posit that this weakness may prevent us from further understanding how different resources (the slacks) influence firms' corporate socially responsible performance (CSR). Combining resource‐based view firm with perspective international...
Purpose This paper aims to clarify the influences of workplace friendship, psychological safety on employees’ innovative behavior and moderated role transformational leadership face. Design/methodology/approach The current research proposes tests a theoretic framework explore mechanism friendship in influencing behavior. Based sample 441 respondents from various Chinese companies, this used SPSS 22.0 Amos examine hypotheses. Findings Results indicate that positively related functioned as...
Abstract Drought is a major abiotic stress to rice ( Oryza sativa ) during growth. Ideal Plant Architecture IPA1 ), the first cloned gene controlling ideal plant type in rice, has been reported function both architecture and biotic resistance. Here, we report that IPA1/OsSPL14 , encoding transcriptional factor, positively regulates drought tolerance rice. The constitutively expressed regulated by H 2 O abscisic acid, NaCl polyethylene glycol 6000 treatments Furthermore, I PA1 -knockout...
Abstract The goal of this study was to investigate the effect Chinese‐specific morphological awareness on vocabulary acquisition among young Chinese‐speaking students. participants were 288 second graders from three different cities in China. Multiple regression analysis and mediation used uncover mediated unmediated effects reading knowledge. Results showed that both lexical inference ability significantly contributed knowledge after each factor controlled for. extract sublexical...
The rapid expansion of carbapenem-resistant Acinetobacter baumannii (CRAB) clinical isolates is a big issue. We investigated the antibiotic susceptibility, molecular epidemiology and resistance gene A. collected at two hospitals in Shanghai, China. Besides, PCR-based replicon typing method (AB-PBRT) was conducted to categorize plasmids into homogeneous groups on basis replicase genes. Most CRAB showed high-level almost all antibiotics but retain susceptibility colistin tigecycline. A total...
The focus of this paper is on the design, administration, and scoring a dynamically administered elicited imitation test L2 English morphology. Drawing Vygotskian sociocultural psychology, particularly concepts zone proximal development dynamic assessment, we argue that support provided during both reveals promotes continued growth emerging capacities. Following discussion theoretical methodological background to study, present single case analysis one advanced speaker (L1 Korean). First,...
Using a sample consisting of China’s listed manufacturing companies which issue A-shares on the Shenzhen and Shanghai stock exchanges from 2008–2014, this study empirically tests relationship between board chairman’s political connections amount energy conservation emission reduction investment. The results show that existence politically-connected chairmen positively affects green In addition, marketization degrees negatively moderate connection investment, supports an institutional logic...
Abstract The present study examined the role of morphological awareness in second language (L2) Chinese vocabulary acquisition through an investigation linguistic universality and specificity underlying awareness. Morphological this was conceptualized as a universal sharable cognitive resource well language‐dependent metalinguistic skill. College‐level learners (N = 171) participated study. Assessments (morpheme recognition morpheme discrimination), language‐specific (compound structure...
LightGBM is an open-source, distributed and high-performance GB framework built by Microsoft company. has some advantages such as fast learning speed, high parallelism efficiency high-volume data, so on. Based on the open data set of credit card in Taiwan, five mining methods, Logistic regression, SVM, neural network, Xgboost LightGBM, are compared this paper. The results show that AUC, F1-Score predictive correct ratio best, second. It indicates or a good performance prediction categorical...
With the emergence of "boundaryless organizations" and increase in boundary-spanning activities, sustainable development organizations has been affected. Effectively promoting employees to engage activities become great practical significance. Besides, performance pressure a prevalent workplace stressor, significantly impacting employees' work behaviors. Therefore, drawing upon cognitive-affective processing system theory stressor-strain relationship theory, this study aims investigate...
Although thousands of genes have been identified or cloned in rice (Oryza sativa) the last two decades, majority them only separately characterized specific varieties single-gene modified backgrounds, thus limiting their practical application. We developed an optimized multiplex genome editing (MGE) toolbox that can efficiently assemble and stably express up to twelve sgRNA targets a single plant expression vector. In this study, we established MGE-based Rapid Directional Improvement (MRDI)...
The automatic detection and recognition of sound events by computers is a requirement for number emerging sensing human computer interaction technologies. Recent advances in this field have been achieved machine learning classifiers working conjunction with time-frequency feature representations. This combination has excellent accuracy classification discrete sounds. ability to recognise sounds under real-world noisy conditions, called robust event classification, an especially challenging...
Abstract Spectroscopy is a technique that analyzes the interaction between matter and light as function of wavelength. It most convenient method for obtaining qualitative quantitative information about an unknown sample with reasonable accuracy. However, traditional spectroscopy reliant on bulky expensive spectrometers, while emerging applications portable, low-cost lightweight sensing imaging necessitate development miniaturized spectrometers. In this study, we have developed computational...