Results 11 to 20 of about 5,150 (104)
Abstract Consumer demand for ivory perpetuates the unsustainable and illegal killing of African elephants and other wildlife species. Interventions that aim to change consumer behavior are increasingly recognized as a crucial element of demand management. However, poor design and implementation have limited their effectiveness.
Molly R. C. Brown +2 more
wiley +1 more source
From Clueless to Confident: How ChatGPT Transforms Academic Writing in Chinese as a Second Language
ABSTRACT Generative artificial intelligence (GenAI) has demonstrated its potential to enhance the quality of second‐language (L2) academic writing. This study used a qualitative approach comprising analysis of ChatGPT usage‐history screenshots, written assignments, and semi‐structured interview data on students’ use of GenAI in their L2 Chinese ...
Lanfang Sun +4 more
wiley +1 more source
Attainment Pairing Effects on Cognitive Conflict in Technology‐enhanced EFL Cooperative Tasks
ABSTRACT This study examines how attainment pairing (high‐high versus high‐low versus low‐low attainment) impacts English as a Foreign Language (EFL) learner engagement during technology‐enhanced cooperative writing tasks. Seventy‐eight Chinese university learners formed 39 dyads (13 pairs per group) via Tencent Meeting.
Ying Liu, Allen Thurston
wiley +1 more source
ABSTRACT This study conducted linguistic analyses of the written corrective feedback (WCF) for Chinese as a second language (CSL) provided by chat generative pre‐trained transformer (ChatGPT) and human teachers (including preservice teachers and senior teachers).
Ling Zhang +2 more
wiley +1 more source
Abstract Currently, scholarship on education to foster connectedness with nature primarily focuses on children. As adults likewise face the disconnection from nature and play a key role in influencing children, it is important to understand how they perceive, engage in, and benefit from relevant programmes.
Xiaoxue Chen, Zuyi Lyu, Junxi Qian
wiley +1 more source
ABSTRACT The high accuracy in surface‐enhanced Raman scattering‐lateral flow immunoassays (SERS–LFIAs) is critical for reliable point‐of‐care testing (POCT) in clinical diagnostics. Conventional approaches are often affected by sampling variability and uneven distribution of immunoprobes, leading to unreliable signal fluctuations.
Shuai Zhao +9 more
wiley +1 more source
Network and graph-based SpaceTimeAI: conception, method and applications = 基于网络和图的时空智能———概念、方法和应用 [PDF]
SpaceTimeAI and GeoAI are currently a hot topic, which apply the latest algorithms in computer science, such as deep learning. Although deep learning algorithms have been successfully applied in raster data processing due to their natural applicability ...
Cheng, T, Haworth, J, Zhang, Y
core
Removing rain from a single image via Convolutional Neural Network [PDF]
受恶劣天气的影响,室外视觉系统所获得的图像会劣化。雨是常见的恶劣天气之一,目前国内外关于去雨的问题已有一些解决的方案,但大多关注于视频去雨。由于该类方法是以丰富的时空相关信息为前提,因而并不适用于单幅图像去雨。近年来,单幅图像去雨的研究逐渐受到重视,然而现有方法需要在去雨效果和图像清晰度之间折中且计算效率低下,难以满足实际应用需求。 为此,本文针对单幅图像去雨,基于变分法和卷积神经网络提出三种新的单幅图像去雨算法,主要研究内容及成果如下: 1.提出基于梯度正则化的单幅图像去雨算法 ...
陈丽琴
core
A Review On Table Recognition Based On Deep Learning
Table recognition is using the computer to automatically understand the table, to detect the position of the table from the document or picture, and to correctly extract and identify the internal structure and content of the table.
chunqi, Shi, Jiyuan, Shi
core
ABSTRACT High‐entropy alloys (HEAs) have emerged as a transformative class of materials distinguished by their complex chemical compositions, unique microstructures, and remarkable mechanical and functional properties. Traditionally, the discovery and optimization of HEAs have relied on conventional methods, including trial‐and‐error experimentation ...
Chrispin Ouko Zamzu +2 more
wiley +1 more source

