Publications by authors named "C J K Wang"

Understanding topological defects-controlled structural degradation of layered oxides-a key cathode material for high-performance lithium-ion batteries-plays a critical role in developing next-generation cathode materials. Here, by constructing a nanobattery in an electron microscope enabling atomic-scale monitoring of electrochemcial reactions, we captured the electrochemically driven atomistic dynamics and evolution of dislocations-a most important topological defect in material. We deciphered how dislocations nucleate, move, and annihilate within layered cathodes at the atomic scale.

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Immunochromatographic assays (ICAs) provide simple and rapid strategies for bacterial diagnosis but still suffer from the problems of low sensitivity and high dependency on paired antibodies. Herein, the broad-spectrum capture and detection capability of the antibody-free electropositive nanoprobe are clarified for bacteria for the first time and an ultrasensitive fluorescent ICA platform is constructed for the simultaneous diagnosis of multiple pathogens. A magnetic multilayer quantum dot nanocomposite with an amino-embedded SiO shell (MagMQD@Si) is designed to enrich bacteria from solutions effectively, offer high luminescence, and reduce background signals on test strips, thus greatly improving the sensitivity and stability of ICA technique for pathogen.

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Flax is an important crop used for oil and fiber production. Although genetic engineering has been possible in flax, it is not commonly used to produce cultivars. However, the use of genome editing technology, which can produce site-specific mutations without introducing foreign genes, may be a valuable tool for creating elite cultivars that can be easily cultivated.

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Genetic mutations in components of the Hippo pathway frequently lead to the aberrant activation of TEADs, which is often associated with cancer. Consequently, TEADs have been actively pursued as therapeutic targets for diseases driven by TEAD overactivation. In this study, we report two series of TEAD PROTACs based on CRBN binders and VHL binders.

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The presented research introduces a new method to identify drug-resistant bacteria rapidly with high accuracy using artificial intelligence combined with Multi-angle Dynamic Light Scattering (MDLS) signals and Raman scattering signals. The main research focus is to distinguish methicillin-resistant (MRSA) and methicillin-sensitive (MSSA). First, a microfluidic platform was developed embedded with optical fibers to acquire the MDLS signals of bacteria and Raman scattering signals obtained by using a Raman spectrometer.

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