Results 1 to 10 of about 712,671 (385)

The “nurse as hero” discourse in the COVID-19 pandemic: A poststructural discourse analysis

International Journal of Nursing Studies, 2021
Background Nurses have been labelled “heroes” by politicians, the mass media, and the general public to describe their commitment to providing front-line care to people with COVID-19, despite the risks of exposure and lack of clinical resources.
Shan Mohammed, Elizabeth Peter, Tieghan Killackey   +2 more
exaly   +2 more sources

Developing the HERO within: Evaluation of a brief intervention for increasing Psychological Capital (PsyCap) in Australian female students during the final year of school in the first year of COVID-19

Journal of Affective Disorders, 2023
Academic stress is linked to adolescent distress and perfectionism during the final years at school, with girls being at greater risk. The onset of the COVID-19 pandemic was an additional stressor that impacted student learning on a global scale.
Jules Finch, A. Waters, Lara J. Farrell
exaly   +2 more sources

In the uncanny valley, transportation predicts narrative enjoyment more than empathy, but only for the tragic hero

Computers in Human Behavior, 2019
The uncanny valley is a term used to describe the phenomenon that human simulations that are nearly but not quite realistic often give viewers an uneasy, eerie feeling.
Karl F Macdorman
exaly   +2 more sources

Hero: Hierarchical Encoder for Video+Language Omni-representation Pre-training [PDF]

Conference on Empirical Methods in Natural Language Processing, 2020
We present HERO, a novel framework for large-scale video+language omni-representation learning. HERO encodes multimodal inputs in a hierarchical structure, where local context of a video frame is captured by a Cross-modal Transformer via multimodal ...
Linjie Li, Yen-Chun Chen, Yu Cheng, Zhe Gan, Licheng Yu, Jingjing Liu   +5 more
semanticscholar   +1 more source

Hero-Gang Neural Model For Named Entity Recognition [PDF]

North American Chapter of the Association for Computational Linguistics, 2022
Named entity recognition (NER) is a fundamental and important task in NLP, aiming at identifying named entities (NEs) from free text. Recently, since the multi-head attention mechanism applied in the Transformer model can effectively capture longer ...
Jinpeng Hu, Yaling Shen, Yang Liu, Xiang Wan, Tsung-Hui Chang   +4 more
semanticscholar   +1 more source

Active surveillance with telemedicine in patients on anticoagulants during the national lockdown(COVID-19 phase)and comparison with pre-COVID-19 phase

Indian Heart Journal, 2020
Background The COVID-19 pandemic brought restriction to the movement of people due to the implementation of lockdown across various regions around the world.
Gurbhej Singh, Bishav Mohan, Vasu Bansal, Mehtab Grewal, Bhupinder Singh, Abhishek Goyal, Shibba Takkar Chhabra, Rohit Tandon, Naved Aslam, Gurpreet Singh Wander   +9 more
doaj   +3 more sources

RAISE-FER: a massive cross-dataset augmented facial expression dataset [PDF]

Frontiers in Robotics and AI
Giuseppe Palestra, Domenico Palmisano, Berardina Nadja De Carolis   +2 more
doaj   +2 more sources

Seeing your life story as a Hero's Journey increases meaning in life.

Journal of Personality and Social Psychology, 2023
Meaning in life is tied to the stories people tell about their lives. We explore whether one timeless story-the Hero's Journey-might make people's lives feel more meaningful. This enduring story appears across history and cultures and provides a template
Benjamin A Rogers, Herrison Chicas, J. Kelly, Emily Kubin, Michael S Christian, Frank J. Kachanoff, Jonah A. Berger, Curtis Puryear, D. McAdams, Kurt Gray   +9 more
semanticscholar   +1 more source

Managing patients of shock and acute kidney injury in tertiary care cardiac ICU: Experience with continuous renal replacement therapy

Indian Heart Journal, 2021
Background: Clinical experience on details of CRRT initiation and outcomes in cardiac intensive care unit (CICU) patients is not available from developing countries like India.
Vivek Gupta, Samir Kapoor, Vikas Makkar, Shibba Takkar Chhabra, Naved Aslam, Bishav Mohan, Rajiv Kumar, Vijita Pandey, Himani Prashar, Gurkirat Kaur, Suvir Grover, Suman Sethi, Simran Kaur, Sarju Ralhan, G.S. Wander   +14 more
doaj   +1 more source

Findings of the CONSTRAINT 2022 Shared Task on Detecting the Hero, the Villain, and the Victim in Memes

CONSTRAINT, 2022
We present the findings of the shared task at the CONSTRAINT 2022 Workshop: Hero, Villain, and Victim: Dissecting harmful memes for Semantic role labeling of entities. The task aims to delve deeper into the domain of meme comprehension by deciphering the
Shivam Sharma, Tharun Suresh, Atharva Kulkarni, Himanshi Mathur, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty   +6 more
semanticscholar   +1 more source