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Polymersomes have been studied for many years since their discovery, and have consistently been an appealing and widely explored research domain. Their inherent benefits, encompassing stability, versatility, load-carrying capacity, and deformability, endow them with many opportunities to be used in numerous fields of biomedicine, nanocarriers, diagnostics and therapeutics. Nevertheless, shape transformation pathways have not been comprehensively summarized or received adequate scholarly attention. Herein, we summarize typical mechanisms underlying polymersome self-assembly with a particular focus on the shape transformation pathways associated with commonly employed self-assembling methods. Moreover, we provide a succinct overview of the proposed applications involving shape transformation applications, and enumerate the most recent findings in this domain. [ABSTRACT FROM AUTHOR]

Artificial ears with intelligence, which can sensitively detect sound-a variant of pressure-and generate consciousness and logical decision-making abilities, hold great promise to transform life. However, despite the emerging flexible sensors for sound detection, most success is limited to very simple phonemes, such as a couple of letters or words, probably due to the lack of device sensitivity and capability. Herein, the construction of ultrasensitive artificial eardrums enabling intelligent song recognition is reported. This strategy employs novel geometric engineering of sensing units in the soft microstructure array (to significantly reduce effective modulus) along with complex song recognition exploration leveraging machine learning algorithms. Unprecedented pressure sensitivity (6.9 × 10 3 kPa -1 ) is demonstrated in a sensor with a hollow pyramid architecture with porous slants. The integrated device exhibits unparalleled (exceeding by 1-2 orders of magnitude compared with reported benchmark samples) sound detection sensitivity, and can accurately identify 100% (for training set) and 97.7% (for test set) of a database of the segments from 77 songs varying in language, style, and singer. Overall, the results highlight the outstanding performance of the hollow-microstructure-based sensor, indicating its potential applications in human-machine interaction and wearable acoustical technologies., (© 2024 The Author(s). Advanced Science published by Wiley‐VCH GmbH.)