Results 111 to 120 of about 33,912 (267)
AI‐based localization of the epileptogenic zone using intracranial EEG
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
ABSTRACT The aim of this study is to examine the effect of participation in the virtual reality‐based environmental education (VRBEE) program on the creative problem‐solving (CPS) skills of middle school students in Turkey. The research was conducted with 125 students from a public middle school, and their CPS skills were assessed using a pre‐test–post‐
Fatih Pala
wiley +1 more source
ABSTRACT This pilot study investigated how the narrative‐rich Chinese AAA game Black Myth: Wukong supports advanced Mandarin learners. Using reflective journals, semi‐structured interviews, and exploratory electroencephalogram (EEG), we examined learners' cognitive, affective, and cultural experiences.
ShuPei Wang +2 more
wiley +1 more source
Artificial structures for human‐machine interfaces with closed‐loop interaction
Artificial structures bridge sensing and feedback in closed‐loop human‐machine interfaces by providing geometry‐enabled mechanical and functional programmability. This review maps the role of artificial structures in diverse sensing modalities and feedback strategies, and illustrates their integration into closed‐loop interaction systems, highlighting ...
Taiqi Hu +4 more
wiley +1 more source
Extraction of Antimicrobial Peptides From Fava Bean Protein Hydrolyzate by Phosphorylated Biochar
Antimicrobial peptides were extracted by functional biochar in one step. The enriched peptides demonstrated significantly enhanced antibacterial activity. ABSTRACT The extraction of antimicrobial peptides (AMPs) from plant proteins remains challenging due to their low abundance, structural diversity, and the need for mild, efficient, and selective ...
Xiang‐Yu Huang +8 more
wiley +1 more source
Abstract Background Non‐pharmacological and complementary therapeutic, notably immersive virtual reality‐based interventions (IVR), could alleviate pain and anxiety associated with gynecologic procedures. Objective To evaluate the effectiveness of IVR in reducing peri‐ and post‐procedural pain and anxiety in gynecologic procedures.
Cristina González‐Lara +4 more
wiley +1 more source
ABSTRACT AVATAR therapy (AT) works by facilitating a ‘face‐to‐face’ dialog between the person and a digital representation (avatar) of their persecutory voice. Although there is cumulative evidence of this way of working with voices, enhancing the therapeutic focus on improved confidence and a sense of control of the voices in social situations ...
Mar Rus‐Calafell +10 more
wiley +1 more source
Biophilic classroom environments on stress and cognitive performance: A randomized crossover study in virtual reality (VR). [PDF]
You J, Wen X, Liu L, Yin J, Ji JS.
europepmc +1 more source
ABSTRACT Introduction Augmented reality (AR) enables interactive learning in real‐world environments. In dental radiography education, AR offers a promising tool to enhance students' clinical skills by allowing them to simulate and practice procedures before engaging with actual patients. Repeated practice in an AR environment can reinforce theoretical
Maitê Michel Piazza Willig +7 more
wiley +1 more source
Evaluation of Panoramic Acquisition Errors by Predoctoral Dental Students
Abstract Objectives Panoramic radiography is commonly used in the management of dental‐alveolar pathology. Novice clinicians are prone to technical errors that diminish the diagnostic quality of radiographs. The objective of this study was to analyze technical errors made during panoramic exposures by third‐year (D3) dental students in order to enhance
Zachary B. Featherstone +2 more
wiley +1 more source

