№ files_lp_4_process_3_128056
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Technical report draft detailing editor’s notes resolution and proposed updates to service area and synchronization requirements for immersive multi-modal VR applications.
Year: 2021
Region / City: Not specified
Subject: Immersive multi-modal Virtual Reality (VR) applications
Document Type: Technical report draft for approval
Organization: 3GPP TSG-SA WG1
Author: Alice Li
Contact: [email protected]
Meeting: #96-e Electronic Meeting
Draft Specification: 3GPP TR 22.847 V18.0.0
Agenda Item: 7.11.1
Proposed Changes: Service area adjustment, synchronization thresholds update
Service Area: Typically < 100 km²
End-to-End Latency Requirement: < 5ms
KPIs: Audio-tactile delay 50/25 ms, Visual-tactile delay 15/50 ms
Price: 8 / 10 USD
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A multi-modal cognitive behavioral therapy training program for caregivers of children with disabilities in Uganda: a study protocol for a cluster-randomized controlled trial
Year: 2021
Region / city: Uganda
Topic: Cognitive behavioral therapy, caregivers, children with disabilities
Document type: Study protocol
Institution: The University of Tokyo
Author: Mariam Namasaba
Target audience: Caregivers of children with disabilities, healthcare professionals, policymakers
Study period: 2021–2023
Approval date: Not specified
Date of changes: Not specified
Multi-modal meta-analysis of 1494 hepatocellular carcinoma samples reveals significant impact of consensus driver genes on phenotypes
Year: 2026
Region / City: Honolulu, HI, USA; Ann Arbor, MI, USA
Topic: Hepatocellular carcinoma genetics
Document type: Research article
Institution: University of Hawaii Cancer Center; University of Michigan
Authors: Kumardeep Chaudhary, Olivier B Poirion, Liangqun Lu, Sijia Huang, Travers Ching, Lana X Garmire
Funding: NIEHS K01ES025434, P20 COBRE GM103457, NICHD R01 HD084633, NLM R01LM012373, Hawaii Community Foundation 14ADVC-64566
Target audience: Biomedical researchers, oncologists, bioinformaticians
Methods: Multi-modal meta-analysis, mutation profiling, Kaplan-Meier survival analysis, bipartite graph analysis
Sample size: 1494 HCC samples across 6 cohorts
Key findings: Associations of consensus driver genes with phenotypes, miR expression, CNV, and overall survival
Supplementary materials: Figures S1–S8, Table S1, File S1
Document type of source: Peer-reviewed scientific publication
Survey of Native AI formats for multi-modal AI
Year: 2026
Region / City: Goa, IN
Theme: Artificial Intelligence, Multi-modal AI
Document Type: Research Paper
Organization: Huawei, HiSilicon
Author: Jian Jia et al.
Target Audience: AI researchers, multimedia service developers
Period of Validity: Not specified
Approval Date: Not specified
Modification Date: Not specified
Topics: FSTACMM 08-18 multi-modal