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Inspired by Nature, we present a polypeptide-based organic redox-active material constructed from renewable feedstocks, L-glutamic acid (an amino acid) and riboflavin (vitamin B₂), to address challenges with start-to-end-of-life management in energy storage systems (ESSs). The amino acid was utilized to establish a degradable polymer backbone, along which many copies of riboflavin were incorporated to serve as the redox-active pendant groups that enabled energy storage. The overall synthesis involved the ring-opening polymerization (ROP) of anl-glutamic acid-derivedN-carboxyanhydride (NCA) monomer, followed by side chain activation with azides and, finally, click coupling to achieve installation of alkyne-functionalized riboflavin moieties. The steric bulkiness and rich chemical functionality of riboflavin resulted in synthetic complexities that required reaction optimization to achieve the desired polymer structure. Electrochemical characterization of the resultant riboflavin polypeptide, in organic electrolyte, showed quasireversible redox activity with a half-wave potential (E_1/2) ofca.−1.10 Vvs.ferrocene/ferrocenium (Fc/Fc⁺). Cell viability assays revealed biocompatibility, as indicated by negligible cytotoxicity for fibroblast cells. The polypeptide design, consisting of labile amide backbone linkages and side-chain ester functionalities that tethered the riboflavin units to the backbone, enabled hydrolytic degradation to recover building blocks for future upcycling or recycling. This bioinspired strategy advances the development of degradable redox-active polymers and promotes sustainable materials design for circular energy storage technologies. 

The 12th iteration of the Japan-US Seminar in Plant Pathology was held in Ithaca, New York at Cornell University in the fall of 2022. Presentations covered a range of topics under the theme “Remodeling of the Plant-Microbe Environment During Disease, Defense, and Mutualism,” and the meeting included a panel discussion of best practices in science communication. This report presents highlights of the meeting, from the perspective of early career participants of the seminar. [Formula: see text] Copyright © 2023 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license . 

Self-attention is key to the remarkable success of transformers in sequence modeling tasks including many applications in natural language processing and computer vision. Like neural network layers, these attention mechanisms are often developed by heuristics and experience. To provide a principled framework for constructing attention layers in transformers, we show that the self-attention corresponds to the support vector expansion derived from a support vector regression problem, whose primal formulation has the form of a neural network layer. Using our framework, we derive popular attention layers used in practice and propose two new attentions: 1) the Batch Normalized Attention (Attention-BN) derived from the batch normalization layer and 2) the Attention with Scaled Head (Attention-SH) derived from using less training data to fit the SVR model. We empirically demonstrate the advantages of the Attention-BN and Attention-SH in reducing head redundancy, increasing the model's accuracy, and improving the model's efficiency in a variety of practical applications including image and time-series classification. 

Protein-functionalized nanoparticles introduce a potentially novel drug delivery method for medical therapeutics, including involvement in cancer therapies and as contrast agents in imaging. Gold and silver nanoparticles are of particular interest due to their distinctive properties. Extensive research shows that gold nanoparticles demonstrate incredible photothermal properties and non-toxic behavior, while silver nanoparticles exhibit antibacterial properties but increase toxicity for human use. However, little is known regarding the properties or applications of hybrid silver-gold particles. This study measured the UV-Vis absorbance spectrum for 40 nm diameter Au, streptavidin-conjugated Au, Ag@Au hybrid, Ag nanoparticles, and Transient Absorbance Spectra of Au. Analysis indicates that the hybrid particles exhibit characteristics of both Ag and Au particles, implying potential applications similar to both Ag and Au nanoparticles. 

The role of the linker (the group connecting viologen moieties to peptide-based backbones) in electron transfer was studied. The backbone dictated the mechanism of electron transfer, whereas the linker length altered the rate of electron transfer.