Mixing‐Driven Defects and Composition Evolution in Multi‐Material Metal Additive Manufacturing
Operando synchrotron X‐ray imaging coupled with high‐fidelity multiphysics modeling uncovers how inter‐material mixing reshapes keyhole dynamics and drives distinct pore‐formation pathways in multi‐material laser powder bed fusion (LPBF). Composition‐dependent instabilities trigger defects, whereas rescanning suppresses porosity and homogenizes Cu ...
Zhilang Zhang +5 more
wiley +1 more source
Correction: Doğan et al. Earthquake Early Warning System for Izmir, Western Anatolia, Türkiye Based on Multi-Station Similarity Analysis and Real-Time Seismic Data Processing. <i>Sensors</i><b>2026</b>, <i>26</i>, 2931. [PDF]
Doğan Y +13 more
europepmc +1 more source
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
A weather-forecast driven early warning system for wheat blast disease: User-centered design, validation, and scaling in Bangladesh and Brazil. [PDF]
Krupnik TJ +14 more
europepmc +1 more source
SLC25A13 is identified as an immunometabolic driver of triple‐negative breast cancer that sustains ferroptosis resistance and immune evasion through a STAT3–IFI6 circuit. Pharmacologic degradation of SLC25A13 restores ferroptosis sensitivity and enhances anti‐PD‐1 efficacy, highlighting a strategy to convert immune‐cold tumors into immunotherapy ...
Yingze Zhu +8 more
wiley +1 more source
Dengue Early Warning System and Outbreak Prediction Tool in Bangladesh Using Interpretable Tree-Based Machine Learning Model. [PDF]
Rahman MS, Amrin M, Bokkor Shiddik MA.
europepmc +1 more source
A Quality Improvement Project to Promote Interdisciplinary Communication Using the Pediatric Early Warning System. [PDF]
Fune J +4 more
europepmc +1 more source
Performance of the early warning system score in predicting postoperative complications in older versus younger patients. [PDF]
Stolze A +7 more
europepmc +1 more source
Clinical evaluation of a machine learning-based early warning system for patient deterioration. [PDF]
Verma AA +11 more
europepmc +1 more source

