Predicting human motion based on historical motion sequences is a fundamental problem in computer vision,which is at the core of many applications.Existing approaches primarily focus on encoding spatial dependencies a...Predicting human motion based on historical motion sequences is a fundamental problem in computer vision,which is at the core of many applications.Existing approaches primarily focus on encoding spatial dependencies among human joints while ignoring the temporal cues and the complex relationships across non-consecutive frames.These limitations hinder the model’s ability to generate accurate predictions over longer time horizons and in scenarios with complex motion patterns.To address the above problems,we proposed a novel multi-level spatial and temporal learning model,which consists of a Cross Spatial Dependencies Encoding Module(CSM)and a Dynamic Temporal Connection Encoding Module(DTM).Specifically,the CSM is designed to capture complementary local and global spatial dependent information at both the joint level and the joint pair level.We further present DTM to encode diverse temporal evolution contexts and compress motion features to a deep level,enabling the model to capture both short-term and long-term dependencies efficiently.Extensive experiments conducted on the Human 3.6M and CMU Mocap datasets demonstrate that our model achieves state-of-the-art performance in both short-term and long-term predictions,outperforming existing methods by up to 20.3% in accuracy.Furthermore,ablation studies confirm the significant contributions of the CSM and DTM in enhancing prediction accuracy.展开更多
The past three decades have witnessed a proliferation of research on Chinese English as a foreign language （EFL） learners＇ use of learning strategies, but little has been examined about the potential influence of l...The past three decades have witnessed a proliferation of research on Chinese English as a foreign language （EFL） learners＇ use of learning strategies, but little has been examined about the potential influence of learning contexts upon their strategic engagement. This paper reports on the findings of an investigation of the impact of learning contexts upon the use of learning strategies of two cohorts of EFL learners in China. Both cohorts were non-English majors, one from a university where English is the medium of instruction （EMI） and the other from an EFL university. The data were collected using questionnaires and semi-structured interviews. Results reveal that learners from the EMI university demonstrated a higher level in their overall use of learning strategies over their counterparts from the EFL university. Independent T-test shows that the two cohorts were significantly different in their use of cognitive, meta-cognitive, affective and social strategies. These findings were discussed from a socio-cultural perspective. Implications are presented for the reform of English language education in China and beyond.展开更多
Learning English with specific purpose （ESP） initiatives domain knowledge and language ability with English learning to meet future job demands （Leroux ＆ Lafleur, 1995; Khan ＆ Khan, 2015）. In the information age...Learning English with specific purpose （ESP） initiatives domain knowledge and language ability with English learning to meet future job demands （Leroux ＆ Lafleur, 1995; Khan ＆ Khan, 2015）. In the information age, the innovative technologies of mobile devices make the dramatical changes in ways of teaching and learning （Atkinson, 2011; Bierstaker, Janvrin ＆ Lowe, 2014, Pittaway, 2012; Yang ＆ Che, 2015）. The focus of this study aims to examine ESP college students＇ English learning performance by using Context Aware Mobile Situated Learning （CAMSL） in Tourism and Hospitality Management field and other majors. The mixed research method is conducted for data collection and analysis. The quantitative data are collected by examining students＇ learning performance; the qualitative data are allowed to understand the students＇ perspective toward their role in using the CAMSL with Tourism related content. Eight-three students are randomly selected and divided into two groups： 42 students are assigned in the experimental group A （CAMSL）, and 41 students are assigned in control group. Two groups of students receive pretest and posttest to examine their English performance. Besides, twenty students from group A and B are selected for online survey. The survey is mailed directly to students＇ email account. Results represented by using CAMSL show the significant improvement on students＇ learning performance. In addition, the survey data indicate the benefits of using the CAMSL help students enhance their academic discourse, develop their learned knowledge to represent their profession, use English properly to speak themselves up, and provide the effectiveness of obtain domain knowledge in future workplace.展开更多
As a critical technology for industrial system reliability and safety,machine monitoring and fault diagnostics have advanced transformatively with large language models(LLMs).This paper reviews LLM-based monitoring an...As a critical technology for industrial system reliability and safety,machine monitoring and fault diagnostics have advanced transformatively with large language models(LLMs).This paper reviews LLM-based monitoring and diagnostics methodologies,categorizing them into in-context learning,fine-tuning,retrievalaugmented generation,multimodal learning,and time series approaches,analyzing advances in diagnostics and decision support.It identifies bottlenecks like limited industrial data and edge deployment issues,proposing a three-stage roadmap to highlight LLMs’potential in shaping adaptive,interpretable PHM frameworks.展开更多
Definition of termsInputs can be defined as everything which students bring tothe classroom including their prior teaching and learningenvironment,attitude,enthusiasm,motivation,phonologyfrom their first language and ...Definition of termsInputs can be defined as everything which students bring tothe classroom including their prior teaching and learningenvironment,attitude,enthusiasm,motivation,phonologyfrom their first language and varying degrees of confidence.When they arrive in college they are exposed to spoken Englishfrom a range of teachers who have a variety of spoken abilitiesand teaching techniques.展开更多
In this paper,the logic is developed assuming that all parts of the brain are composed of a combination of modules that basically have the same structure.The feeding behavior of searching for food while avoiding the d...In this paper,the logic is developed assuming that all parts of the brain are composed of a combination of modules that basically have the same structure.The feeding behavior of searching for food while avoiding the dangers of animals in the early stages of evolution is regarded as the basis of time series data processing.The module that performs the processing is presented by a neural network equipped with a learning function based on Hebb's rule,and is called a basic unit.The basic units are arranged in layers,and the information between the layers is bidirectional.This new neural network is an extension of the traditional neural network that has evolved from pattern recognition.The biggest feature is that in the processing of time series data,the activated part changes according to the context structure inherent in the data,and can be mathematically expressed the method of predicting events from the context of learned behavior and utilizing it in best action.展开更多
Among the research of language teachers' professional development in the course of reform,most studies take a psychological or cognitive approach and largely neglect the social element in a teacher's professio...Among the research of language teachers' professional development in the course of reform,most studies take a psychological or cognitive approach and largely neglect the social element in a teacher's professional growth.This paper,therefore,is intended to build up a theoretical and analytical framework for a large-scale on-going study that looks at college English teachers' professional development from a sociological and anthropological perspective.The notion of learning community constitutes the core of the theoretical framework that orients the author's understanding of the tensions and conflictions in teachers' socialization into the teacher community within the context of radical change.In particular,the literature on three dimensions of the learning process is critically reviewed,i.e.personal dimension,interpersonal dimension and organizational dimension.展开更多
基金supported by the Urgent Need for Overseas Talent Project of Jiangxi Province(Grant No.20223BCJ25040)the Thousand Talents Plan of Jiangxi Province(Grant No.jxsg2023101085)+3 种基金the National Natural Science Foundation of China(Grant No.62106093)the Natural Science Foundation of Jiangxi(Grant Nos.20224BAB212011,20232BAB212008,20242BAB25078,and 20232BAB202051)The Youth Talent Cultivation Innovation Fund Project of Nanchang University(Grant No.XX202506030015)funded by Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2025R759),Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.
文摘Predicting human motion based on historical motion sequences is a fundamental problem in computer vision,which is at the core of many applications.Existing approaches primarily focus on encoding spatial dependencies among human joints while ignoring the temporal cues and the complex relationships across non-consecutive frames.These limitations hinder the model’s ability to generate accurate predictions over longer time horizons and in scenarios with complex motion patterns.To address the above problems,we proposed a novel multi-level spatial and temporal learning model,which consists of a Cross Spatial Dependencies Encoding Module(CSM)and a Dynamic Temporal Connection Encoding Module(DTM).Specifically,the CSM is designed to capture complementary local and global spatial dependent information at both the joint level and the joint pair level.We further present DTM to encode diverse temporal evolution contexts and compress motion features to a deep level,enabling the model to capture both short-term and long-term dependencies efficiently.Extensive experiments conducted on the Human 3.6M and CMU Mocap datasets demonstrate that our model achieves state-of-the-art performance in both short-term and long-term predictions,outperforming existing methods by up to 20.3% in accuracy.Furthermore,ablation studies confirm the significant contributions of the CSM and DTM in enhancing prediction accuracy.
基金supported by a research grant of the Project of Foreign Language Education under the National Education Science Plan 2010 (GPA105613)a grant of the 2011-2012 Teaching and Research Fund for the Teaching of English Majors,Association of National Normal Universities (NNETRP2011009)a project of the National Social Science Research Fund (12CYY025)
文摘The past three decades have witnessed a proliferation of research on Chinese English as a foreign language （EFL） learners＇ use of learning strategies, but little has been examined about the potential influence of learning contexts upon their strategic engagement. This paper reports on the findings of an investigation of the impact of learning contexts upon the use of learning strategies of two cohorts of EFL learners in China. Both cohorts were non-English majors, one from a university where English is the medium of instruction （EMI） and the other from an EFL university. The data were collected using questionnaires and semi-structured interviews. Results reveal that learners from the EMI university demonstrated a higher level in their overall use of learning strategies over their counterparts from the EFL university. Independent T-test shows that the two cohorts were significantly different in their use of cognitive, meta-cognitive, affective and social strategies. These findings were discussed from a socio-cultural perspective. Implications are presented for the reform of English language education in China and beyond.
文摘Learning English with specific purpose （ESP） initiatives domain knowledge and language ability with English learning to meet future job demands （Leroux ＆ Lafleur, 1995; Khan ＆ Khan, 2015）. In the information age, the innovative technologies of mobile devices make the dramatical changes in ways of teaching and learning （Atkinson, 2011; Bierstaker, Janvrin ＆ Lowe, 2014, Pittaway, 2012; Yang ＆ Che, 2015）. The focus of this study aims to examine ESP college students＇ English learning performance by using Context Aware Mobile Situated Learning （CAMSL） in Tourism and Hospitality Management field and other majors. The mixed research method is conducted for data collection and analysis. The quantitative data are collected by examining students＇ learning performance; the qualitative data are allowed to understand the students＇ perspective toward their role in using the CAMSL with Tourism related content. Eight-three students are randomly selected and divided into two groups： 42 students are assigned in the experimental group A （CAMSL）, and 41 students are assigned in control group. Two groups of students receive pretest and posttest to examine their English performance. Besides, twenty students from group A and B are selected for online survey. The survey is mailed directly to students＇ email account. Results represented by using CAMSL show the significant improvement on students＇ learning performance. In addition, the survey data indicate the benefits of using the CAMSL help students enhance their academic discourse, develop their learned knowledge to represent their profession, use English properly to speak themselves up, and provide the effectiveness of obtain domain knowledge in future workplace.
文摘As a critical technology for industrial system reliability and safety,machine monitoring and fault diagnostics have advanced transformatively with large language models(LLMs).This paper reviews LLM-based monitoring and diagnostics methodologies,categorizing them into in-context learning,fine-tuning,retrievalaugmented generation,multimodal learning,and time series approaches,analyzing advances in diagnostics and decision support.It identifies bottlenecks like limited industrial data and edge deployment issues,proposing a three-stage roadmap to highlight LLMs’potential in shaping adaptive,interpretable PHM frameworks.
文摘Definition of termsInputs can be defined as everything which students bring tothe classroom including their prior teaching and learningenvironment,attitude,enthusiasm,motivation,phonologyfrom their first language and varying degrees of confidence.When they arrive in college they are exposed to spoken Englishfrom a range of teachers who have a variety of spoken abilitiesand teaching techniques.
文摘In this paper,the logic is developed assuming that all parts of the brain are composed of a combination of modules that basically have the same structure.The feeding behavior of searching for food while avoiding the dangers of animals in the early stages of evolution is regarded as the basis of time series data processing.The module that performs the processing is presented by a neural network equipped with a learning function based on Hebb's rule,and is called a basic unit.The basic units are arranged in layers,and the information between the layers is bidirectional.This new neural network is an extension of the traditional neural network that has evolved from pattern recognition.The biggest feature is that in the processing of time series data,the activated part changes according to the context structure inherent in the data,and can be mathematically expressed the method of predicting events from the context of learned behavior and utilizing it in best action.
文摘Among the research of language teachers' professional development in the course of reform,most studies take a psychological or cognitive approach and largely neglect the social element in a teacher's professional growth.This paper,therefore,is intended to build up a theoretical and analytical framework for a large-scale on-going study that looks at college English teachers' professional development from a sociological and anthropological perspective.The notion of learning community constitutes the core of the theoretical framework that orients the author's understanding of the tensions and conflictions in teachers' socialization into the teacher community within the context of radical change.In particular,the literature on three dimensions of the learning process is critically reviewed,i.e.personal dimension,interpersonal dimension and organizational dimension.
