Results 181 to 190 of about 4,901,829 (210)
An Adaptive Inhibitory WSe2 Transistor for Retinomorphic In‐Sensor Image Processing
Conventional retinomorphic devices typically require deliberate gate‐bias tuning for each illumination condition. In this paper, we demonstrate an adaptive inhibitory WSe2 transistor that uses photo‐induced regime shift between the subthreshold and accumulation modes to achieve decision‐free, intensity‐adaptive image processing within a single pixel ...
Juhwan Baek +12 more
wiley +1 more source
Forward‐Biased Perovskite Photodiodes for In‐Sensor Optical Change Sensing
A forward‐biased perovskite photodiode is introduced as an in‐sensor analog preprocessing unit that uses current balancing between photocurrent and injection current to generate optical changes relative to programmable optical reference levels. The device directly converts reference‐relative optical changes into bipolar current signals, enabling sensor‐
Eungseon Yeon +14 more
wiley +1 more source
A triplet‐blocking layer controls triplet exciton dynamics in blue upconversion OLEDs. The layer keeps charge transfer (CT)‐generated triplet excitons inside the triplet‐triplet annihilation (TTA) host, suppresses anode‐side interfacial quenching, and increases the steady‐state triplet population.
Qing‐Jun Shui +5 more
wiley +1 more source
Bioinspired Hydrogels with Broadly Programmable Mechanics for Soft‐Tissue Interfaces
Sea cucumber‐inspired gelatin hydrogels are formed by directional freezing and mechanically programmed through subsequent ionic treatment. Multiscale characterization and modeling link ion‐regulated chain interactions to directional load transfer within the aligned hierarchical architecture.
Youchao Teng +20 more
wiley +1 more source
An organic neuromorphic architecture for the classification of human motor behavior is presented and validated. It performs somatic integration by linearly combining the activity from three muscles. An investigation of synaptic weights is presented and discussed in relationship with the classification performance.
Ilenia Sergi +7 more
wiley +1 more source
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source
We developed a patient‐derived, functional microfluidic model of the diffuse midline glioma (DMG) blood–brain–tumor barrier (BBTB) comprised of endothelial cells, astrocytes, pericytes, and tumor cells. The system forms perfusable microvasculature, reveals the BBTB retains vascular integrity, identifies DMG‐specific transcriptomic changes distinct from
Kimberly R. Bennett +7 more
wiley +1 more source
Conventional therapies suffer from poor blood–brain barrier (BBB) penetration and disordered ion/reactive oxygen species (ROS) homeostasis, hindering precise neurological treatment. Electrochemical strategies achieve accurate spatiotemporal regulation of neural homeostasis.
Xiaokang Hu +5 more
wiley +1 more source
Chemical Strategies for Multistimuli Responsive Dynamic Covalent Materials in Regenerative Medicine
Multistimuli responsive dynamic covalent materials integrate reversible chemistry with the complex chemical, mechanical, and biochemical cues of regenerative environments. This review highlights chemical strategies based on orthogonal dynamic bonds, multicomponent networks, and hierarchical architectures to regulate mechanics, degradation, and ...
Saurabh Joshi +2 more
wiley +1 more source

