Results 261 to 270 of about 1,957,816 (358)
A fully edible wheat bran–algae substrate is fabricated through scalable mould‐compression and spray‐coating, enabling robust, food‐grade platforms for sustainable electronics. A chitosan barrier improves water resistance and ink compatibility, while activated‐carbon conductive films form uniform electrodes with Ohmic behaviour.
Jaz Johari +7 more
wiley +1 more source
Promising measures for minimising e-cigarette youth uptake in countries with a significant e-cigarette market. [PDF]
Hiscock R.
europepmc +1 more source
Epitaxial Growth of p‐Type β‐Ga2O3 Thin Films and Demonstration of a p–n Diode
This study demonstrates p‐type conductivity in β‐Ga2O3 via Te–Mg co‐doping using MOCVD. The films show tunable hole concentrations up to 1.78×1017 cm−3, and a fabricated p–n diode exhibits rectifying behavior. Density functional theory reveals that Te introduces an intermediate band, lowering the Mg acceptor ionization energy and enabling p‐type ...
Chuang Zhang +2 more
wiley +1 more source
Development of a blood test for uterine sarcoma-Diagnosis and monitoring (DOORS-D and DOORS-M) studies. [PDF]
Casey A +9 more
europepmc +1 more source
Was the Supreme Court of Appeal judgment correct in the Founders Hill case
Sibusiso Mdlalose
openalex +1 more source
Embedded Direct‐Written Organic Micro‐TEGs for High‐Efficiency Skin‐Heat Harvesting
A finite‐element–guided design of direct‐written organic micro‐thermoelectric generators is presented for efficient skin‐heat harvesting. Embedding PEDOT:PSS/PBFDO thermoelectric legs within flexible substrates suppresses interfacial heat losses and enhances vertical heat flow.
Milad Jabri +4 more
wiley +1 more source
Medicare advantage becoming a disadvantage with use of artificial intelligence in prior authorization review. [PDF]
Raza S +4 more
europepmc +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source

