Results 101 to 110 of about 1,134,932 (278)
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source
Cross-cultural decoding of positive and negative nonlinguistic emotion vocalizations
Which emotions are associated with universally recognized nonverbal signals? We address this issue by examining how reliably nonlinguistic vocalizations (affect bursts) can convey emotions across cultures. Actors from India, Kenya, Singapore and USA were
Petri eLaukka +8 more
doaj +1 more source
Affective Match: Leader Emotional Displays, Follower Positive Affect, and Follower Performance [PDF]
Leader emotions may play an important role in leadership effectiveness. Extending this earlier research on leader emotional displays and leadership effectiveness, we propose that the “affective match†between follower positive affect (PA) and leadersâ€
Damen, F.J.A. +2 more
core +1 more source
Effect of a 14-Day Mindfulness Intervention on Daily Desire Experiences and Desire Regulation [PDF]
A growing body of research suggests that mindfulness, a receptive attentiveness to one’s present moment experiences, has the potential to adaptively regulate habitual behaviors.
Jahan, Nabila Farhin
core +2 more sources
Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects
The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su +14 more
wiley +1 more source
[b]Introduction[/b]. Performance of work is related with experiencing various emotions, from positive – indicating full satisfaction with work, to negative – describing failures, and even harm caused by work.
Stanisław Lachowski +1 more
doaj
The article aims to develop a definition of emotions that would be both theoretically and practically applicable in psychotherapy (prescriptive), while also aligning with the everyday (descriptive) understanding of the term. The arguments are grounded on
Ivan Kirillov
doaj +1 more source
A STUDY OF PLANNED IMPULSIVE BUYING ON CONSUMERS IN INDONESIA [PDF]
Marketing process in a company will be successful if they can understand the unique character of their consumers. Unique characteristic of Indonesian consumer who unplanned and who have unplanned spending pattern became such opportunities for the company
Diana , Aqmala, Naili , Farida
core
Ecologically‐Valid Emotion Signatures Enhance Mood Disorder Diagnostics
This study identifies ecologically‐valid Divergent Emotional Functional Networks (DEFN), derived from dynamic functional connectivity during naturalistic movie watching. The DEFN reliably enhances diagnostic accuracy for mood disorders, including major depressive and bipolar disorders, demonstrating strong reproducibility across demographic factors and
Shuyue Xu +6 more
wiley +1 more source

