Results 141 to 150 of about 38,243 (301)
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
DATA WAREHOUSE AND BUSINESS INTELLIGENCE STRATEGIES AND TRENDS [PDF]
In recent decades following the evolution of information technology, decision support systems have played an important role by presenting the necessary information resulted from the operational systems processes.
Ing. Codrin Popa Ph. D Student
core
Autonomous X‐Ray Fluorescence Mapping for Nanoscale Chemical Speciation of Fine Particulate Matter
We present X‐AutoMap, an autonomous X‐ray fluorescence mapping framework that integrates real‐time analysis with rule‐based computer vision to selectively target chemically relevant regions. By avoiding background‐dominated areas, the method reduces acquisition time by fourfold while enabling accurate particle‐level speciation.
Carlos Deleon +3 more
wiley +1 more source
The hydration behavior of C3S in seawater‐relevant solutions is studied based on experiments, boundary nucleation and growth (BNG) modeling, and machine learning. The main ions included in seawater modify hydration mechanisms, with MgCl2 showing the strongest acceleration effect at the same concentration.
Yanjie Sun +6 more
wiley +1 more source
Structuring warehouse management [PDF]
This dissertation studies the management processes that plan, control, and optimize warehouse operations. The inventory in warehouses decouples supply from demand. As such, economies of scale can be achieved in production, purchasing, and transport.
Faber, N. (Nynke)
core
Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha +2 more
wiley +1 more source
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
In this article, a qualitative business mini-case study concerning issues surrounding warehouse management systems and supply chain management techniques are implemented at two very different Pittsburgh-area companies. The increasing importance of supply chains as it relates to selection and management of real-time data to improve its overall ...
openaire +2 more sources
A hybrid mobile robot with a modular Variable‐Stiffness Bridge transitions between a rigid locomotion platform and a flexible, shape‐conforming body. By enclosing objects within its deformable structure rather than relying on dedicated end effectors, the robot achieves orientation‐regulated planar transport, with conformal contact quality shown to ...
Luiza Labazanova +5 more
wiley +1 more source
Food insecurity and unemployment among immigrants in the United States
Abstract Immigrants can be more vulnerable to economic downturns and, during periods of economic hardship, more likely to experience food insecurity compared to natives. This study examines the differential effect of the unemployment rate on the probability of being food insecure among diverse groups of immigrant households relative to natives in the ...
Siwen Zhou +3 more
wiley +1 more source

