№ files_lp_4_process_1_28111
File format: docx Character count: 3038 File size: 42 KB
Comprehensive meta-analysis of hepatocellular carcinoma samples identifying correlations between consensus driver gene mutations and clinical, molecular, and survival outcomes.
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
Price: 8 / 10 USD
The file will be delivered to the email address provided at checkout within 12 hours.

Don’t have cryptocurrency yet?

You can still complete your purchase in a few minutes:
  1. Buy Crypto in a trusted app (Coinbase, Kraken, Cash App or any similar service).
  2. In the app, tap Send.
  3. Select network, paste our wallet address.
  4. Send the exact amount shown above.
After sending, paste your TXID (transaction ID) and your email to receive the download link. Need help? Contact support and we’ll guide you step by step.

The final amount may vary slightly depending on the payment method.
The file will be sent to the email address provided at checkout within 24 hours.
The product description is provided for reference. Actual content and formatting may differ slightly.
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
FS_TACMM resolving the ENs in clause 5.1 for immersive multi-modal VR applications, 08-18 Nov 2021
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
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
Lesson Plan SB3e: Genetic Variants and Phenotypes Objectives and Activities
Subject: Biology
Topic: Genetic variants and phenotypes
Key concepts: Mutation, gene transcription, translation, protein synthesis, RNA polymerase binding, amino acid sequence
Curriculum references: SB3.9B; SB3.10B
Document type: Lesson plan
Educational level: Secondary education
Components: Objectives; Learning outcomes; Quick Quiz; Starters; Exploring activities; Worksheets; Safety guidance; Equipment list
Resources referenced: ALDS presentation SB3e Genetic variants and phenotypes objectives; ALDS presentation SB3e Quick Quiz; Worksheet SB3e.1; Worksheet SB3e.2; Student Book SB3d Protein synthesis
Assessment methods: Quick Quiz; Progression questions; Confidence level scoring; Peer checking activity
Practical activities: Protein modelling with beads; Genetic code transcription and translation exercise
Safety considerations: Eye protection required; Slip hazard from dropped beads
A list of screened candidates and their corresponding dendritic phenotypes of C4da neurons at around 96 h AEL
Year: 2023
Region / City: Not specified
Topic: Dendritic phenotyping, RNAi stocks
Document type: Research data
Organization / Institution: Not specified
Author: Not specified
Target audience: Researchers in neuroscience, specifically in the field of neuronal phenotyping
Validity period: Not specified
Approval date: Not specified
Date of changes: Not specified
Supplementary Tables 1–5. Percentages of T Cell and Monocyte Phenotypes and Their Associations with Pulmonary Function Measures in HIV-Positive and HIV-Negative Participants
Document type: Supplementary tables
Study population: HIV-positive (n=142) and HIV-negative (n=73) participants
Subgroup analysis: HIV-negative participants (n=71 with pre-; n=73 with post- measurements)
Measured variables: CD4 T cell phenotypes, CD8 T cell phenotypes, monocyte phenotypes
Phenotype categories: Differentiation, Activation Profiles, Inflammation/Exhaustion Profiles, Senescence Profiles
Monocyte subsets: Classical, Intermediate, Non-Classical
Pulmonary function measures: FEV1, FVC, FEV1/FVC, DLCO
Statistical methods: Two-sample t-test; linear regression models with adjustment for HBV infection, HCV infection, smoking pack-years, body-mass index, marijuana use, crack cocaine use, injection drug use, tuberculosis, pneumonia
Data presentation: Median (IQR); standardized beta coefficients
Reference standards: NHANES III predicted lung function values
Significance thresholds: P < 0.05 with Bonferroni correction (P=0.05/112)
Materials and Methods: RNA-seq Analysis of Wheat Phenotypes and Genotypic Variants
Year: 2023
Region / City: Yangling
Subject: Genomics, Plant Biology, Wheat Breeding
Document Type: Research Article
Institution: Not specified
Author: Not specified
Target Audience: Researchers in Plant Genomics and Breeding
Period of Validity: Not applicable
Date of Approval: Not applicable
Date of Changes: Not applicable
Supplementary Notes and Figures on LUAD mRNA Expression Subtypes, Genomic Alterations, and Immune Phenotypes
Year: 2016–2021
Field: Cancer Genomics
Research Topic: Lung Adenocarcinoma (LUAD) Molecular Subtypes
Document Type: Supplementary Scientific Notes and Figures
Study Context: Comparative analysis with Chen et al. 2016 study and related genomic datasets
Data Sources: TCGA LUAD cohort; CCLE LUAD cell lines; CPTAC LUAD cohort
Analytical Methods: mRNA expression clustering; GSVA pathway analysis; MutSig2CV mutation analysis; GISTIC2.0 copy number analysis; Cox proportional hazards modeling
Key Molecular Features: STK11/KRAS co-mutation; MET activation; stem cell gene signature
Subtype Classification: Five LUAD mRNA expression subtypes (S1–S5)
Comparative Subtypes Referenced: PP, PI, TRU expression-based subtypes
Genomic Data Types: DNA copy number; DNA methylation; mRNA expression; miRNA expression; protein expression
Immune Phenotyping Source: TCGA H&E image–based immune scores
Gene Signature Components: C6orf62; DNER; NELL2; LATS2; LGR5; PTPRO; LRIG1; PABPC1; NT5E; SET
Referenced Studies: Chen et al., 2016; Huang et al., 2021; Thorsson et al., 2018
Topics: 1494 multi-modal Phenotypes