Medication Beliefs Regarding P2Y12 Inhibitors: An Exploratory Thematic and Semantic Analysis to Better Understand the Key Barriers to Medication Adherence. [PDF]
Lee JSG +4 more
europepmc +1 more source
A hierarchical multimodal framework coupling a large language model for task decomposition and semantic mapping with a fine‐tuned vision‐language model for semantic perception, enhanced by GridMask, is presented. An aerial‐ground robot team exploits the semantic map for global and local planning.
Haokun Liu +6 more
wiley +1 more source
An Embedding-Based Semantic Analysis Approach: A Preliminary Study on Redundancy Detection in Psychological Concepts Operationalized by Scales. [PDF]
Huang Z, Long Y, Peng K, Tong S.
europepmc +1 more source
MOWDOC: A Dataset of Documents From Taking the Measure of Work for Building a Latent Semantic Analysis Space. [PDF]
Nimon KF.
europepmc +1 more source
This paper presents a degeneracy‐aware light detection and ranging (LiDAR)‐inertial framework that enhances LiDAR simultaneous localization and mapping performance in challenging environments. The proposed system integrates a dual‐layer robust odometry frontend with a Scan‐Context‐based loop‐closure detection backend.
Haoming Yang +4 more
wiley +1 more source
Sentiment and semantic analysis: Urban quality inference using machine learning algorithms. [PDF]
Ho E +4 more
europepmc +1 more source
Musculoskeletal humanoids exhibit rich biomechanical properties that remain insufficiently unified in prior discussions. This article systematically categorizes muscle characteristics into five properties: redundancy, independency, anisotropy, variable moment arm, and nonlinear elasticity, and analyzes their combined effects on control.
Kento Kawaharazuka +2 more
wiley +1 more source
What are developers talking about information security? A large-scale study using semantic analysis of Q&A posts. [PDF]
Gurcan F.
europepmc +1 more source
Measuring Communication Similarity Between Hospice Nurses and Cancer Caregivers Using Latent Semantic Analysis. [PDF]
Kane L +4 more
europepmc +1 more source
FTGRN introduces an LLM‐enhanced framework for gene regulatory network inference through a two‐stage workflow. It combines a Transformer‐based model, pretrained on GPT‐4 derived gene embeddings and regulatory knowledge, with a fine‐tuning stage utilizing single‐cell RNA‐seq data.
Guangzheng Weng +7 more
wiley +1 more source

