Six-Dimensional Guidance: The Strategies of Thinking Quality Cultivation in Senior High School English Discourse Learning

Taking the discourse learning of the new senior high school English textbook published by the People’s Education Press as an example,combined with the“six-dimensional guidance”deep reading strategy,and through the six-skill training strategies of“memory skill training,understanding skill training,application skill training,analytical skill training,evaluation skill training,creative skill training,”this paper aims to cultivate students’thinking profundity,logic,flexibility,sensitivity,criticality,and originality.It also promotes the real implementation of senior high school English deep reading that points to the cultivation of thinking quality in classroom teaching,and realizes the transformation from“conventional reading”to“deep reading”that reflects the core literacy of the discipline.

Relationships Between Chinese EFL Learners’IELTS Band Score and Motivated Strategies for Learning

EFL learners,who study English as a foreign language,often use different learning strategies in the learning process,with positive and negative results in their academic performance.Whether these learning strategies are effective or not are questions to be explored.So,the author examined the relationship between Chinese EFL learners’test results and the use of motivated strategies for learning in English learning.Participants are students who have taken a high-stake standardized English proficiency test:IELTS(International English Language Testing System)with band score obtained.The results show that students’performance on high-stakes assessment is significantly associated with the use of motivated learning strategies like internal value in sharp contrast to test anxiety,which bears no relevance.Interviews are then implemented to candidates with different levels of English proficiency to figure out other related factors contributing to the test results.

A Brief Study of Second Language Learning Strategies From the Perspective of Error Analysis

Language teaching is not a one-way process.It interacts with language learning in an extremely intricate way.To improve language teaching,we need to take the process of language learning into account.This paper tries to explore and understand what strategies the second language learners consciously or subconsciously adopt during their language learning process through the analyses of the linguistic errors they commit,so as to provide some insights into language teaching practice.

Learning Strategies in Chinese EFL Learners' Reading Comprehension

According to schema theory resulting from the psycholinguistic model of reading,comprehending a text is an interactive process between the reader background knowledge and the text. This article first views the psycholinguistic model of reading and research in learning strategies, then discusses the application of socioaffective,cognitive, metacognitive learning strategies in Chinese EFL learners’ reading comprehension.

A Study on Different Learning Strategies Used by EFL Learners in China

This study explores how the Chinese learners apply the learning strategies in the language learning.The research examines how to understand EFL learners uses of learning strategies in language learning.The SILL(the Strategy Inventory for Language Learning) was the instrument of this study.The results show that the frequency of strategy use does not vary among the different levels of learners based on the SILL's mean scores.The results suggest that as the learners' levels become higher,the EFL learners tend to choose more strategies which are reflective of their active learning.

Incorporation of Learning Strategies into Web-based Autonomous Listening

The thesis introduces a comparative study of students'autonomous listening practice in a web-based autonomous learning center and the traditional teacher-dominated listening practice in a traditional language lab.The purpose of the study is to find how students'listening strategies differ in these two approaches and thereby to find which one better facilitates students'listening proficiency.

An Incentive Mechanism for Federated Learning:A Continuous Zero-Determinant Strategy Approach

As a representative emerging machine learning technique, federated learning(FL) has gained considerable popularity for its special feature of “making data available but not visible”. However, potential problems remain, including privacy breaches, imbalances in payment, and inequitable distribution.These shortcomings let devices reluctantly contribute relevant data to, or even refuse to participate in FL. Therefore, in the application of FL, an important but also challenging issue is to motivate as many participants as possible to provide high-quality data to FL. In this paper, we propose an incentive mechanism for FL based on the continuous zero-determinant(CZD) strategies from the perspective of game theory. We first model the interaction between the server and the devices during the FL process as a continuous iterative game. We then apply the CZD strategies for two players and then multiple players to optimize the social welfare of FL, for which we prove that the server can keep social welfare at a high and stable level. Subsequently, we design an incentive mechanism based on the CZD strategies to attract devices to contribute all of their high-accuracy data to FL.Finally, we perform simulations to demonstrate that our proposed CZD-based incentive mechanism can indeed generate high and stable social welfare in FL.

How do the landslide and non-landslide sampling strategies impact landslide susceptibility assessment? d A catchment-scale case study from China

The aim of this study is to investigate the impacts of the sampling strategy of landslide and non-landslide on the performance of landslide susceptibility assessment(LSA).The study area is the Feiyun catchment in Wenzhou City,Southeast China.Two types of landslides samples,combined with seven non-landslide sampling strategies,resulted in a total of 14 scenarios.The corresponding landslide susceptibility map(LSM)for each scenario was generated using the random forest model.The receiver operating characteristic(ROC)curve and statistical indicators were calculated and used to assess the impact of the dataset sampling strategy.The results showed that higher accuracies were achieved when using the landslide core as positive samples,combined with non-landslide sampling from the very low zone or buffer zone.The results reveal the influence of landslide and non-landslide sampling strategies on the accuracy of LSA,which provides a reference for subsequent researchers aiming to obtain a more reasonable LSM.

Cognitive interference decision method for air defense missile fuze based on reinforcement learning

To solve the problem of the low interference success rate of air defense missile radio fuzes due to the unified interference form of the traditional fuze interference system,an interference decision method based Q-learning algorithm is proposed.First,dividing the distance between the missile and the target into multiple states to increase the quantity of state spaces.Second,a multidimensional motion space is utilized,and the search range of which changes with the distance of the projectile,to select parameters and minimize the amount of ineffective interference parameters.The interference effect is determined by detecting whether the fuze signal disappears.Finally,a weighted reward function is used to determine the reward value based on the range state,output power,and parameter quantity information of the interference form.The effectiveness of the proposed method in selecting the range of motion space parameters and designing the discrimination degree of the reward function has been verified through offline experiments involving full-range missile rendezvous.The optimal interference form for each distance state has been obtained.Compared with the single-interference decision method,the proposed decision method can effectively improve the success rate of interference.

An Empirical Study of Depth of Vocabulary Knowledge and Vocabulary Learning Metacognitive Strategies of Non-English Majors

This paper concentrates on the depth of vocabulary knowledge and vocabulary learning metacognitive strategies used by Chinese non-English majors in an independent college.Results show the depth of vocabulary knowledge of the subjects only reaches the passing level.And metacognitive strategies are correlated significantly with the depth of vocabulary knowledge.

Significant risk factors for intensive care unit-acquired weakness:A processing strategy based on repeated machine learning

BACKGROUND Intensive care unit-acquired weakness(ICU-AW)is a common complication that significantly impacts the patient's recovery process,even leading to adverse outcomes.Currently,there is a lack of effective preventive measures.AIM To identify significant risk factors for ICU-AW through iterative machine learning techniques and offer recommendations for its prevention and treatment.METHODS Patients were categorized into ICU-AW and non-ICU-AW groups on the 14th day post-ICU admission.Relevant data from the initial 14 d of ICU stay,such as age,comorbidities,sedative dosage,vasopressor dosage,duration of mechanical ventilation,length of ICU stay,and rehabilitation therapy,were gathered.The relationships between these variables and ICU-AW were examined.Utilizing iterative machine learning techniques,a multilayer perceptron neural network model was developed,and its predictive performance for ICU-AW was assessed using the receiver operating characteristic curve.RESULTS Within the ICU-AW group,age,duration of mechanical ventilation,lorazepam dosage,adrenaline dosage,and length of ICU stay were significantly higher than in the non-ICU-AW group.Additionally,sepsis,multiple organ dysfunction syndrome,hypoalbuminemia,acute heart failure,respiratory failure,acute kidney injury,anemia,stress-related gastrointestinal bleeding,shock,hypertension,coronary artery disease,malignant tumors,and rehabilitation therapy ratios were significantly higher in the ICU-AW group,demonstrating statistical significance.The most influential factors contributing to ICU-AW were identified as the length of ICU stay(100.0%)and the duration of mechanical ventilation(54.9%).The neural network model predicted ICU-AW with an area under the curve of 0.941,sensitivity of 92.2%,and specificity of 82.7%.CONCLUSION The main factors influencing ICU-AW are the length of ICU stay and the duration of mechanical ventilation.A primary preventive strategy,when feasible,involves minimizing both ICU stay and mechanical ventilation duration.

Reinforcement Learning Based Quantization Strategy Optimal Assignment Algorithm for Mixed Precision

The quantization algorithm compresses the original network by reducing the numerical bit width of the model,which improves the computation speed. Because different layers have different redundancy and sensitivity to databit width. Reducing the data bit width will result in a loss of accuracy. Therefore, it is difficult to determinethe optimal bit width for different parts of the network with guaranteed accuracy. Mixed precision quantizationcan effectively reduce the amount of computation while keeping the model accuracy basically unchanged. In thispaper, a hardware-aware mixed precision quantization strategy optimal assignment algorithm adapted to low bitwidth is proposed, and reinforcement learning is used to automatically predict the mixed precision that meets theconstraints of hardware resources. In the state-space design, the standard deviation of weights is used to measurethe distribution difference of data, the execution speed feedback of simulated neural network accelerator inferenceis used as the environment to limit the action space of the agent, and the accuracy of the quantization model afterretraining is used as the reward function to guide the agent to carry out deep reinforcement learning training. Theexperimental results show that the proposed method obtains a suitable model layer-by-layer quantization strategyunder the condition that the computational resources are satisfied, and themodel accuracy is effectively improved.The proposed method has strong intelligence and certain universality and has strong application potential in thefield of mixed precision quantization and embedded neural network model deployment.

A Study on English Vocabulary Learning Strategies of College Students

The present study attempts to investigate Chinese non-English majors' vocabulary learning strategies.The descriptive statistics is carried out on the learners' vocabulary learning strategies;a correlational study is conducted between the students' vocabulary learning strategies and their vocabulary test scores.The result shows that students still prefer to learn vocabulary through the traditional way and that the dictionary strategies and rehearsal strategies are negatively related to vocabulary test scores,while all the other five categories are positively related to them.The pedagogical implications of this study are suggested for college teachers' instructions of vocabulary learning strategies.

A Synthesis of the Studies on Vocabulary Learning Strategies in ESL and EFL Learning

Vocabulary is the core of language learning.The efficiency of vocabulary learning may influence language learning outcome.Vocabulary learning strategies can help the learners to learn vocabulary more efficiently,and they are very useful and beneficial for language learners.This paper synthesizes the research on vocabulary learning strategies in ESL and EFL learning,including the studies on the definitions of vocabulary learning strategies,classifications of vocabulary learning strategies and previous main research areas.The previous research areas mainly involve in the following aspects:patterns and taxonomies of vocabulary learning strategies,gender difference and vocabulary learning strategies,language proficiency and vocabulary learning strategies,major or disciplinary difference and vocabulary learning strategies,vocabulary learning strategies used frequently and effectively,vocabulary learning strategies and learning outcomes,and vocabulary learning strategy training.

On Affective Strategies use in College Students' Autonomous English Learning

Autonomous study emphasizes the learner's initiative,enthusiasm and creativity.In all fields of education,there is growing emphasis on "learner-centered" teaching methods and the ability of learner autonomy.Many experts and scholars have found that learning strategies plays an important role in English language learning,but the importance of affective strategy use in English learning is often ignored by people.Therefore,this paper focuses on the frequencies of affective strategies use in English learning and their relationships so as to enable college students to use positive affective strategies effectively to improve their autonomous learning ability.

The Effectiveness of Self-regulated Learning Strategies on Chinese College Students' English Learning

The purpose of this paper is to argue the effectiveness of self-regulated learning in English education in Chinese college classroom instruction. A study is given to show whether the introduction of self-regulated learning can help improve Chinese college students' English learning, and help them perform better in the National English test-CET-4 (College English Test Level-4,).

Using Learning Strategies:A Review in L2 Listening Research

This paper briefly reviews some significant learning strategies in L2 listening research.By pointing out both the feasibil ities and difficulties in implementing those strategies in Chinese EFL classrooms,it attempts to raise English language practitio ners'awareness of reforming the listening instruction and of utilizing strategic teaching approaches so as to enhance students'lis tening proficiency.

Individual differences in English Learning Strategies

Some learners' personal factors, such as gender, major, motivation and language proficiency, influence the use of language learn- ing strategies. This paper reports the results of a survey study which investigates the individual differences and the employment of English learning strategies, examines the association between enjoyment and strategy use, motivation and strategy use, gender and strategy use, major and strategy use, English proficiency and strategy use.

Application of Learning Strategies in Self-access Environment

Since the 1970s, the studies of learning strategies and strategy training have made great achievements, but there are also many problems to be solved. Traditional teaching methodology emphasizes the knowledge and basic skills of the target language, ignoring the instruction of learning skills and strategies, which often results in ineffective learning in spite of much time and efforts. Of many factors that need to be considered, a very important one is that students aren't equipped with effective learning skills and strategies.

Formative Assessment and English Learning Strategies——An experiment on teaching vocational college English

The study mainly focuses on the influence of formative assessment upon learning strategies. So as to testify the effectiveness of formative assessment application in the promotion of students' learning strategy in vocational college, the author has conducted a 20-week study on 76 freshmen in Sichuan College of Architectural Technology. The result shows that the application of formative assessment is mostly effective in the students' adoption of affective strategy.