Results 61 to 70 of about 57,483 (180)
ABSTRACT Previous research has established the relationships between motivation, anxiety, teachers’ support, and self‐regulated learning (SRL) in English‐as‐a‐foreign‐language (EFL) learning. Most of the studies, however, have taken a variable‐centered approach in addressing the variable correlations, while learners’ characteristics and variable links ...
Yuhong Jiao, Barry Bai, Jing Li
wiley +1 more source
电涌保护器(SPD)在工作状态下会产生一定的泄漏电流,其泄漏电流的值可以反应SPD的老化程度。针对SPD的老化预测问题,利用其产生的泄漏电流,提出一种基于灰色预测模型的SPD老化预判方法。研究表明:灰色预测模型可以较好地应用于SPD泄漏电流的预测中,预测结果误差较小,具有较高的有效性和实用性,从而为SPD老化预判提供一种可能。此外,为电网电力系统中其他设备状态预判提供了一种崭新思路。
张红梅, 李佑光
doaj
Assessment and Prediction of the Impact of Trade Liberalization on China's Carbon Emissions: Empirical Studies Based on GTAP Database [PDF]
当今世界处于两个全球性进程,即经济全球化和气候变化的“双重暴露(doubleexposure)”之下。贸易自由化已经成为经济全球化的重要内容及目标,同时城市工业化进程的加快以及发展中国家经济的快速发展,导致大气中温室气体浓度增加并带来极端天气,这使得全球气候变化成为国际社会面临的重要挑战。作为全球化的两个进程,贸易自由化和气候变化之间相互联系、相互作用。一方面,已有研究表明,贸易自由化政策将通过影响经济系统的经济规模、经济结构、生产技术,进而影响生产过程中的能源消耗、能源结构、能源利用效率等 ...
余丽丽
core
ABSTRACT Self‐regulated learning (SRL) as a key predictor of language learning has been widely studied, but few studies have examined it from a cross‐linguistic perspective. The present study investigated whether first language (L1) SRL strategy use transfers to second language (L2) SRL strategy use and the conditions under which this transfer occurs ...
Barry Bai, Xuan Zang, Gurpinder Lailli
wiley +1 more source
ABSTRACT Although the use of AI technologies (e.g., chatbots and automated writing evaluations (AWE)) has gained considerable attention in language learning fields in recent years, how AI technologies have been designed and implemented in language learning education, as well as their effectiveness, is understudied.
Shen Qiao +2 more
wiley +1 more source
Application Study of the Stock Data Assistant Analysis Algorithm [PDF]
股票市场受政治、经济和投资者心理等多种复杂因素的影响。虽然复杂,但经过分析简化仍能在海量数据中得到相应的信息。数据挖掘技术就是能够实现从海量数据中挖掘有用信息的新兴技术,其广泛应用于投资领域。本文以技术分析和基本分析两种股票分析方法为基础,针对股票分析和预测应用数据挖掘中的神经网络和关联规则建立相应的模型,并进行了实证分析和比较。论文主要工作包括以下两个方面: 1.针对BP神经网络算法在股市预测中存在的学习速度慢、容易陷入局部极小值、预测结果精度不高等问题,提出一种基于共轭梯度的BP神经网络算法 ...
魏朝东
core
Profiling Metacognitive Knowledge and Growth Mindset in EFL Vocabulary Learning
ABSTRACT Guided by the self‐regulated learning (SRL) framework, the present study investigates the associations between metacognitive knowledge and growth mindset in EFL (English as a Foreign Language) vocabulary learning, addressing a critical gap in the literature. While metacognitive knowledge, comprising person, task, and strategy dimensions, plays
Weili (Allen) Xing, Mark Feng Teng
wiley +1 more source
日本东北MW9.0地震的PI模型参数设置与预测效能回溯性检验
以日本局部地区(32.0°N—46.0°N,136.0°E—148.0°E)为研究区域,应用图像信息(PI)方法,获得了不同计算参数模型下包含2011年3月11日日本东北MW9.0地震的多组预测窗热点图像。以0.5°×0.5°和1.0°×1.0°的网格尺度和5—10年预测窗长为主要参数变量,并以R值和受试者工作特征(ROC)方法检验不同参数模型下PI方法的预测效能。结果表明,多组参数模型下MW9.0地震所在预测窗内,其震中所在网格及其摩尔邻近网格均曾出现热点图像,表明PI方法可对日本东北MW9 ...
Cheng Song +5 more
doaj +1 more source
A Study on 3PL Reverse Logistics Service’s Forecast Improvement Based on Xiamen Changjiang Logistics [PDF]
由于发展时间较短,第三方逆向物流服务商面临着诸多挑战,如多数企业的实力不够雄厚、管理决策水平相对落后等,无法应对第三方逆向物流的高度不确定性,影响了企业的经营效益和规模扩张。其主要原因是逆向物流产品的回收数量具有不确定性,企业需求策略不完善,严重影响逆向物流其它环节的实施。只有持续提高运营效率和能力,才能使企业立于不败之地,而确定产品回收数量就是第三方逆向物流公司的制胜法宝。 本文以一家电子维修第三方逆向物流服务商——厦门长江物流有限公司为例,理论联系实际,探讨产品回收量的预测问题。首先 ...
蔡鹏羽
core
Learning Styles, Engagement and Anxiety in AI‐Mediated Writing: A Multimodal Feedback Study
ABSTRACT Artificial intelligence (AI) tools now permeate English academic writing. However, evidence on how feedback modalities align with student differences and with psychological mechanisms remains limited. Prior work often reduced learning styles to simple matches with delivery modes and treated learning engagement and writing anxiety as peripheral.
Yi Ren +3 more
wiley +1 more source

