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Acknowledgment to Reviewers of Multimodal Technologies and Interaction in 2021

Multimodal Technologies and Interaction, 2022
Rigorous peer-reviews are the basis of high-quality academic publishing [...]
Multimodal Technologies and Interaction Editorial Office
doaj   +1 more source

Acknowledgment to Reviewers of Multimodal Technologies and Interaction in 2020

Multimodal Technologies and Interaction, 2021
Peer review is the driving force of journal development, and reviewers are gatekeepers who ensure that Multimodal Technologies and Interaction maintains its standards for the high quality of its published papers [...]
Multimodal Technologies and Interaction Editorial Office
doaj   +1 more source

Examining Crisis Communication Using Semantic Network and Sentiment Analysis: A Case Study on NetEase Games

Frontiers in Psychology, 2022
The mobile game “Immortal Conquest,” created by NetEase Games, caused a dramatic user dissatisfaction event after an introduction of a sudden and uninvited “pay-to-win” update. As a result, many players filed grievances against NetEase in a court.
ShaoPeng Che, ShaoPeng Che, Dongyan Nan, Dongyan Nan, Pim Kamphuis, Shunan Zhang, Jang Hyun Kim, Jang Hyun Kim   +7 more
doaj   +1 more source

Perceptions of behaviour efficacy, not perceptions of threat, are drivers of COVID-19 protective behaviour in Germany

Humanities & Social Sciences Communications, 2022
In the ongoing COVID-19 pandemic, non-pharmaceutical protective measures taken by individuals remain pivotal. This study aims to explore what motivates individuals to engage in such measures.
Lilian Kojan, Laura Burbach, Martina Ziefle, André Calero Valdez   +3 more
doaj   +1 more source

The influence of maternal reflective functioning and parenting behavior on infant development in the context of perinatal intimate partner violence: a study protocol

BMC Psychology, 2023
Background Intimate partner violence (IPV) affects 25% of children under the age of five worldwide, yet the impact of perinatal IPV and its underlying mechanisms on infant development remains poorly understood.
Inês Jongenelen, Tiago Miguel Pinto, Raquel Costa, Rita Pasion, Ana Morais, Sandra Henriques, Diogo Lamela   +6 more
doaj   +1 more source

Childbirth-related post-traumatic stress disorder symptoms and mother–infant neurophysiological and behavioral co-regulation during dyadic interaction: study protocol

BMC Psychology, 2023
Background Mother’s childbirth-related posttraumatic stress disorder (PTSD) symptoms have a negative impact on mother and infant’s behaviors during dyadic interactions which may increase mother–infant neurophysiological and behavioral co-regulation ...
Tiago Miguel Pinto, Inês Jongenelen, Diogo Lamela, Rita Pasion, Ana Morais, Raquel Costa   +5 more
doaj   +1 more source

Acknowledgement to Reviewers of Multimodal Technologies and Interaction in 2017

Multimodal Technologies and Interaction, 2018
Peer review is an essential part in the publication process, ensuring that Multimodal Technologies and Interaction maintains high quality standards for its published papers [...]
Multimodal Technologies and Interaction Editorial Office
doaj   +1 more source

How public health agencies communicate with the public on TikTok under the normalization of COVID-19: A case of 2022 Shanghai's outbreak

Frontiers in Public Health, 2022
ObjectiveAs life with COVID-19 became a norm in 2022, the public's demand for and perception of COVID-19-related information has changed. This study analyzed the performance and responses of Healthy China and the public at various stages of COVID-19 ...
ShaoPeng Che, ShaoPeng Che, Shunan Zhang, Jang Hyun Kim, Jang Hyun Kim   +4 more
doaj   +1 more source

Interaction-mediated surface state instability in disordered three-dimensional topological superconductors with spin SU(2) symmetry [PDF]

, 2012
We show that arbitrarily weak interparticle interactions destabilize the surface states of 3D topological superconductors with spin SU(2) invariance (symmetry class CI), in the presence of non-magnetic disorder.
Foster, Matthew S., Yuzbashyan, Emil A.
core   +2 more sources

GLAD: Global–Local Approach; Disentanglement Learning for Financial Market Prediction

IET Signal Processing, 2023
Accurate prediction of financial market trends can have a great impact on maximizing profits and avoiding risks. Conventional methods, e.g., regression or SVR, or end-to-end training approaches, coined as deep learning algorithms, have restraints as a ...
Humam M. Abdulsahib, Foad Ghaderi
doaj   +1 more source