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Leveraging two-dimensional pre-trained vision transformers for three-dimensional model generation via masked autoencoders.
Sci Rep
January 2025
Department of Electrical Power, Adama Science and Technology University, Adama, 1888, Ethiopia.
Although the Transformer architecture has established itself as the industry standard for jobs involving natural language processing, it still has few uses in computer vision. In vision, attention is used in conjunction with convolutional networks or to replace individual convolutional network elements while preserving the overall network design. Differences between the two domains, such as significant variations in the scale of visual things and the higher granularity of pixels in images compared to words in the text, make it difficult to transfer Transformer from language to vision.
View Article and Find Full Text PDFImprovement of flipped classroom teaching in colleges and universities based on virtual reality assisted by deep learning.
Sci Rep
January 2025
School of Electronic and Information Engineering, Changsha Institute of Technology, Changsha, 410200, China.
In order to solve the limitations of flipped classroom in personalized teaching and interactive effect improvement, this paper designs a new model of flipped classroom in colleges and universities based on Virtual Reality (VR) by combining the algorithm of Contrastive Language-Image Pre-Training (CLIP). Through cross-modal data fusion, the model deeply combines students' operation behavior with teaching content, and improves teaching effect through intelligent feedback mechanism. The test data shows that the similarity between video and image modes reaches 0.
View Article and Find Full Text PDFValidation of the Singing Voice Handicap Index in Greek Singers: Normal and Voice-Disordered Participants.
J Voice
January 2025
Department of Speech and Language Therapy, School of Health Rehabilitation Sciences, University of Patras, Patras, Greece; A' ENT University Clinic, Medical School, National Kapodistreian University of Athens, Athens, Greece. Electronic address:
Objectives: The Singing Voice Handicap Index (SVHI) was culturally adapted and validated in Greek to examine the impacts of voice problems on a singer's everyday life.
Methods: The translated version was administered to 120 singers in total, along with the translated version of the Voice Handicap Index (VHI), a sort voice history questionnaire, two Self-Rating Dysphonia Severity Scales (SRDSSs), and two visual analog scales. A week after the original completion of the Greek version of SVHI, a second copy of the SVHI was administered to 50% of the participants.
Global insight into rare disease and orphan drug definitions: a systematic literature review.
BMJ Open
January 2025
Centre for Public Health, Institute of Clinical Sciences B, Royal Victoria Hospital, Queen's University Belfast School of Medicine, Dentistry and Biomedical Sciences, Belfast, UK.
Objectives: This study sheds light on the available global definitions, classifications, and criteria used for rare diseases (RDs), ultrarare diseases (URDs), orphan drugs (ODs) and ultraorphan drugs (UODs) and provides insights into the rationale behind these definitions.
Design: A systematic literature review was conducted to identify existing definitions and the criteria used to define RDs, ODs and their subtypes.
Data Sources: Searches were performed in the PubMed/Medline, Embase, Scopus and Web of Science (Science and Social Sciences Citation Index) databases covering articles published from 1985 to 2021.
High definition transcranial direct current stimulation as an intervention for cognitive deficits in Alzheimer's dementia: A randomized controlled trial.
J Prev Alzheimers Dis
February 2025
Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA; Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA; School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA.
Background: Recent disease-modifying treatments for Alzheimer's disease show promise to slow cognitive decline, but show no efficacy towards reducing symptoms already manifested.
Objectives: To investigate the efficacy of a novel noninvasive brain stimulation technique in modulating cognitive functioning in Alzheimer's dementia (AD).
Design: Pilot, randomized, double-blind, parallel, sham-controlled study SETTING: Clinical research site at UT Southwestern Medical Center PARTICIPANTS: Twenty-five participants with clinical diagnoses of AD were enrolled from cognition specialty clinics.
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