Graph-Based Representation and Exploration of Relational Data
reservedL’obiettivo di questa tesi è riprogettare la struttura relazionale del database IUPHAR in una rappresentazione basata su grafici, al fine di superare i limiti nel tracciamento e nell’analisi delle relazioni di citazione.
TIKHONOV, VLADISLAV
core
Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction
Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith +4 more
wiley +1 more source
Use of Graph Database for the Integration of Heterogeneous Biological Data. [PDF]
Yoon BH, Kim SK, Kim SY.
europepmc +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Search and Graph Database Technologies for Biomedical Semantic Indexing: Experimental Analysis. [PDF]
Segura Bedmar I +2 more
europepmc +1 more source
This review brings together 20 publications describing 11 robotic system families developed for instrument handling, sterile‐package opening, supply delivery, and operating room logistics. Perception is becoming more capable through deep learning and language‐guided control, but autonomy remains limited, evidence is largely laboratory‐based, and no ...
Eugenia Mawuenya Akpo +4 more
wiley +1 more source
Towards FAIRer Biological Knowledge Networks Using a Hybrid Linked Data and Graph Database Approach. [PDF]
Brandizi M +3 more
europepmc +1 more source
CD9+ B Cells Induce T Follicular Helper Cell Apoptosis to Regulate Germinal Center Regression
A unique subset of CD9+ B cells regulates germinal center B (GC‐B) cell regression by inducing T follicular helper (Tfh) cell apoptosis through multiple signaling pathways, such as ALCAM‐CD6. FOXP1 plays a key role in GC‐B cell differentiation. These findings clarify mechanisms of GC degeneration and termination and offer potential targets for adenoid ...
Wenjing Liao +27 more
wiley +1 more source
Spfy: an integrated graph database for real-time prediction of bacterial phenotypes and downstream comparative analyses. [PDF]
Le KK +4 more
europepmc +1 more source
Rab1A Promotes Hepatic Steatosis by Suppressing Mitophagy via the Raf‐1/ERK1/2/PINK1 Signaling Axis
Why does fat accumulate in the liver? Our study reveals Rab1A as the molecular switch that silences the cell's mitochondrial cleanup crew. Turning Rab1A off reactivates mitophagy, clears excess fat, and reverses fatty liver disease in mice—offering a promising new therapeutic target for MASLD, a growing global health challenge.
Li Zhang +9 more
wiley +1 more source

