Top‐Down Fabricated Wood‐Derived Pressure and Strain Sensors: A Review
This review focuses on wood‐derived pressure/strain sensors fabricated via top‐down strategies. It analyzes wood's structural composition, examines processing techniques, discusses sensor types and sensing mechanisms, and reviews existing research. The article concludes with future directions for enhancing performance and scalability.
Yi Ren +8 more
wiley +1 more source
Short Video Blogger "Courtman" in the Face of Negative Word of Mouth Problems and Solutions [PDF]
Taocheng Wang
openalex +1 more source
Quantity Tagger: A Latent-Variable Sequence Labeling Approach to Solving Addition-Subtraction Word Problems [PDF]
Yanyan Zou, Wei Lu
openalex +1 more source
Biohybrid Tendons Enhance the Power‐to‐Weight Ratio and Modularity of Muscle‐Powered Robots
Biohybrid robots powered by skeletal muscle actuators are capable of dynamically adapting to environmental cues. This study takes inspiration from native muscle–tendon architecture by leveraging tough hydrogels as synthetic tendons for muscle actuators to enhance the power‐to‐weight ratio and modularity of biohybrid machines.
Nicolas Castro +11 more
wiley +1 more source
Comparative study of elementary students' numeracy literacy in solving word problems in Indonesia and Malaysia [PDF]
Agustan Syamsuddin +7 more
openalex +1 more source
Comment on “De Novo Reconstruction of 3D Human Facial Images from DNA Sequence”
This comment examines AI‐driven DNA‐based facial reconstruction, focusing on the Difface model. While such technologies promise biomedical and forensic applications, they pose significant ethical, legal, and methodological challenges. We emphasize transparency, benchmarking, and rigorous validation to avoid misinterpretation and misuse.
Jennifer K. Wagner +3 more
wiley +1 more source
Does Calculation or Word-Problem Instruction Provide A Stronger Route to Pre-Algebraic Knowledge? [PDF]
Fuchs LS +8 more
europepmc +1 more source
MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang +5 more
wiley +1 more source
General schematic of the approach. Abstract Conventional Silver/Silver Chloride (Ag/AgCl) electrodes remain the clinical standard for electrophysiological monitoring but are hindered by poor skin conformity, mechanical rigidity, and signal degradation, particularly under motion or sweat.
Nazmi Alsaafeen +11 more
wiley +1 more source

