Results 111 to 120 of about 2,611,781 (277)
Forward to basiest. Deep-level-learning and the experiential approach
Ferre Loevers
openalex +2 more sources
Near‐peer teaching in anatomy: An approach for deeper learning [PDF]
Darrell J. R. Evans, Tracy Cuffe
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High‐Entropy Magnetism of Murunskite
The study of murunskite (K2FeCu3S4) reveals that its magnetic and orbital order emerges in a simple I4/mmm crystal structure with complete disorder in the transition metal positions. Mixed‐valence Fe ions randomly occupy 1/4 of the tetrahedral sites, with the remaining 3/4 being filled by non‐magnetic Cu+ ions.
Davor Tolj+18 more
wiley +1 more source
Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana+2 more
wiley +1 more source
A Novel Approach to Implementing Artificial Thalamic Neurons with Ferroelectric Transistors
Artificial neurons created using CMOS technology often require a large number of transistors and capacitors. This study introduces an artificial thalamic neuron that employs only five CMOS compatible ferroelectric transistors. The manufactured thalamic neuron demonstrates leaky integrate‐and‐fire‐or‐burst (LIFB) functionalities, featuring self ...
Andreas Grenmyr+7 more
wiley +1 more source
The Evolution of Religion: How Cognitive By-Products, Adaptive Learning Heuristics, Ritual Displays, and Group Competition Generate Deep Commitments to Prosocial Religions [PDF]
Scott Atran, Joseph Henrich
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Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications
Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai+8 more
wiley +1 more source
Deep auto-encoder neural networks in reinforcement learning [PDF]
Sascha Lange, Martin Riedmiller
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Heterojunctions combining halide perovskites with low‐dimensional materials enhance optoelectronic devices by enabling precise charge control and improving efficiency, stability, and speed. These synergies advance flexible electronics, wearable sensors, and neuromorphic computing, mimicking biological vision for real‐time image analysis and intelligent
Yu‐Jin Du+11 more
wiley +1 more source
Flow‐Induced Vascular Remodeling on‐Chip: Implications for Anti‐VEGF Therapy
Flow‐induced vascular remodeling plays a critical role in network stabilization and function. Using a vasculature‐on‐chip system, this study reveals how physiological VEGF levels and flow affect vascular remodeling and provides insights into tumor vessel normalization.
Fatemeh Mirzapour‐Shafiyi+6 more
wiley +1 more source