AI Powered Biobanks From Static Archives to Dynamic Discovery Engines
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin +5 more
wiley +1 more source
Using Ontologies for the Design of Data Warehouses
15 pages, 2 ...
Jesús Pardillo, Jose-Norberto Mazón
openaire +4 more sources
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Holographic Mapping of Orbital Angular Momentum using a Terahertz Diffractive Optical Neural Network
A compact six‐layer diffractive optical neural network enables direct recognition and spatial mapping of terahertz (THz) orbital angular momentum (OAM) beams. Fabricated by 3D printing, the system distinguishes nine OAM modes and their superpositions with high fidelity, good efficiency, and low crosstalk, offering a scalable solution for THz ...
Wei Jia +3 more
wiley +1 more source
The Development of Data Warehouse to Support Data Mining Technique for Traffic Accident Prediction
Traffic accidents are one of the major health problems that cause serious death in the world and ranks 9th in the world. Traffic accidents in Indonesia ranks 5th in the world.
Wiwik Budiawan +2 more
doaj +1 more source
Prototype Design of a Data Warehouse for Determining, Mapping, Monitoring and Visualizing Urban Heat Islands: The Case of Zagreb and Split, Croatia [PDF]
The UHI phenomenon is not visible to the naked eye and its intensity changes depending on the time of day and year. Natural and artificially induced phenomena such as the creation of Urban Heat Islands (UHI) are becoming more frequent and intense in ...
A. Krtalić, A. Kuveždić Divjak
doaj +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source
Design of Storage Warehouse with Environmentally Friendly Concept: Case Study of ABC Fuel Terminal
This article presents the design of a storage warehouse at the ABC fuel terminal using an environmentally friendly approach. The concept integrates renewable energy, sustainable building design, ventilation systems, natural lighting, automation, and ...
Ibnu Lukman Pratama, Rafief Baharrudin
doaj +1 more source
Designing a Data Warehouse for Cyber Crimes
One of the greatest challenges facing modern society is the rising tide of cyber crimes. These crimes, since they rarely fit the model of conventional crimes, are difficult to investigate, hard to analyze, and difficult to prosecute. Collecting data in a unified framework is a mandatory step that will assist the investigator in sorting through the ...
Il-Yeol Song +5 more
openaire +4 more sources

