Changes of Job Burnout in Chinese Nurses over 2004–2013: Cross-Temporal Meta-Analysis
Sign Up to like & getrecommendations! Published in 2018 at "Current Psychology"
DOI: 10.1007/s12144-016-9540-1
Abstract: How nurse burnout changes over time with macro environmental factors remains unclear. The main purpose of this study is to investigate how burnout changes over 2004–2013 in Chinese nurses and its relationship with national-level patient-to-nurse… read more here.
Keywords: 2004 2013; chinese nurses; nurse; temporal meta ... See more keywords
Changes in aggression among mainland Chinese elementary, junior high, and senior high school students across years: A cross-temporal meta-analysis
Sign Up to like & getrecommendations! Published in 2019 at "Aggression and Violent Behavior"
DOI: 10.1016/j.avb.2019.08.014
Abstract: Abstract This study examined whether aggression among students in China rose or fell during 2003–2016. We applied a cross-temporal meta-analysis of 90 studies using Aggression Questionnaire (Buss & Perry, 1992) responses by 87,319 students (primary… read more here.
Keywords: aggression; temporal meta; cross temporal; school students ... See more keywords
Is body dissatisfaction changing across time? A cross-temporal meta-analysis.
Sign Up to like & getrecommendations! Published in 2017 at "Psychological bulletin"
DOI: 10.1037/bul0000081
Abstract: It remains unclear whether body dissatisfaction, a widely recognized predictor of eating-related pathologies and depressive symptomatology, is consistent across cohorts and time. This question is important to investigate because dominant theories propose that sociocultural influences,… read more here.
Keywords: dissatisfaction; body dissatisfaction; cross temporal; across time ... See more keywords
Cross-temporal domain generalization approach combined with self-organizing-maps for classifying MODIS time series data
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2025.2527988
Abstract: ABSTRACT This study addresses the challenge of limited labelled samples for land use land cover (LULC) classification by proposing a cross-temporal Domain Generalization (DG) approach. A classification model trained on the 2019/2020 crop year was… read more here.
Keywords: time; cross temporal; temporal domain; time series ... See more keywords
Advancing terrestrial ecology by improving cross-temporal research and collaboration
Sign Up to like & getrecommendations! Published in 2024 at "Bioscience"
DOI: 10.1093/biosci/biae108
Abstract: Abstract Ecology spans spatial and temporal scales and is inclusive of the history of life on Earth. However, research that occurs at millennial timescales or longer has historically been defined as paleoecology and has not… read more here.
Keywords: terrestrial ecology; ecology; advancing terrestrial; research ... See more keywords
Cross-Temporal Self-Supervised Learning With Superpixel Mask for Multitemporal Land Cover Classification
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3513694
Abstract: Multitemporal remote sensing images offer multiple views of Earth observation, enabling the integration of temporal information to effectively mitigate issues caused by clouds, shadows, seasonal changes, and atmospheric reflection. This integration significantly reduces the uncertainty… read more here.
Keywords: self supervised; remote sensing; cross temporal; land cover ... See more keywords
Cross-Temporal Snapshot Alignment for Dynamic Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2021.3115669
Abstract: In this paper, we study the task of cross-temporal snapshot alignment for dynamic networks. The goal of this task is to match equivalent nodes across temporal snapshots of a given dynamic network. Previous static network… read more here.
Keywords: temporal snapshot; network; snapshot alignment; cross temporal ... See more keywords
UAV-Based Multimodal Monitoring of Tea Anthracnose with Temporal Standardization
Sign Up to like & getrecommendations! Published in 2025 at "Agriculture"
DOI: 10.3390/agriculture15212270
Abstract: Tea Anthracnose (TA), caused by fungi of the genus Colletotrichum, is one of the major threats to global tea production. UAV remote sensing has been explored for non-destructive and high-efficiency monitoring of diseases in tea… read more here.
Keywords: tea; tea anthracnose; temporal standardization; monitoring ... See more keywords