Energy Drink Knowledge, Consumption, and Regulation Support Among Polish Medical and Non-Medical Students: A Cross-Sectional Study. [PDF]
Mularczyk-Tomczewska P +4 more
europepmc +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Spatial Variation in Cd, Pb, Hg, and Zn Accumulation in Edible Wild-Growing Mushroom Species from Different Environmentally Loaded Areas in Southern Poland: Risk Assessment and Implications for Consumer Safety. [PDF]
Rusin M +4 more
europepmc +1 more source
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Pharmaceutical Care Services in Community Pharmacies: An Umbrella Review of Global Evidence with Insights from Polish and Spanish Practices. [PDF]
Żuk A, Machuca M.
europepmc +1 more source
Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh +3 more
wiley +1 more source
Next stopski London: Public perceptions of labour migration within the EU. The case of Polish labour migrants in the British press [PDF]
Fomina, Joanna, Frelak, Justyna
core
Carcass characteristics and physicochemical and sensory properties of meat from three species of wild geese hunted in Poland. [PDF]
Piekarczyk P +5 more
europepmc +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source

