It was long expected and recently shown that main-chain liquid crystalline elastomers (MC-LCEs) may serve as high performance soft actuators due to a coupling of their intrinsic characteristics of high, yet labile, ordering and network strain. Here, we present the synthesis of new siloxane-based smectic MC-LCEs. These new materials exhibit a unique thermomechanical behavior known as the shape memory effect, which has never been observed before in such LCEs. To achieve targeted transition temperatures required for facile actuation at low temperatures, specifically temperatures ranging from 15 to 65 degrees C, we have designed and prepared such elastomers incorporating two distinct mesogenic groups, termed 5H and 5tB, coupled with hydride-terminated poly(dimethylsiloxane) spacers.
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http://dx.doi.org/10.1021/ja039001s | DOI Listing |
Acc Chem Res
January 2025
Department of Chemistry, Ben-Gurion University of the Negev, Be'er Sheva 84105, Israel.
ConspectusA key challenge in modern chemistry research is to mimic life-like functions using simple molecular networks and the integration of such networks into the first functional artificial cell. Central to this endeavor is the development of signaling elements that can regulate the cell function in time and space by producing entities of code with specific information to induce downstream activity. Such artificial signaling motifs can emerge in nonequilibrium systems, exhibiting complex dynamic behavior like bistability, multistability, oscillations, and chaos.
View Article and Find Full Text PDFLangmuir
January 2025
College of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Nanocomposites of epoxy with FeO featuring dynamic disulfide bonds were fabricated. To facilitate the dispersion of FeO nanoparticles, we synthesized poly(ε-caprolactone)-grafted FeO nanoparticles, which were then incorporated into epoxy to generate robust interfacial interactions between epoxy and the inorganic nanoparticles. Through this approach, a fine dispersion of the inorganic nanoparticles in the epoxy matrix was successfully obtained.
View Article and Find Full Text PDFZhongguo Xue Xi Chong Bing Fang Zhi Za Zhi
December 2024
Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui 230601, China.
Objective: To predict the areas of snail spread in Anhui Province from 1977 to 2023 using machine learning models, and to compare the effectiveness of different machine learning models for prediction of areas of snail spread, so as to provide insights into investigating the trends in areas of snail spread.
Methods: Data pertaining to snail spread in Anhui Province from 1977 to 2023 were collected and a database was created. Five machine learning models were created using the software Matlab R2019b, including support vector regression (SVR), nonlinear autoregressive (NAR) neural network, back propagation (BP) neural network, gated recurrent unit (GRU) neural network and long short-term memory (LSTM) neural network models, and the model fitting effect was evaluated with mean absolute error (MAE), root mean squared error (RMSE) and coefficient of determination ().
Commun Psychol
January 2025
Department of Psychological and Brain Sciences, University of Delaware, Newark, DE, USA.
During impression formation, perceptual cues facilitate social categorization while person-knowledge can promote individuation and enhance person memory. Although there is extensive literature on the cross-race recognition deficit, observed when racial ingroup faces are recognized more than outgroup faces, it is unclear whether a similar deficit exists when recalling individuating information about outgroup members. To better understand how perceived race can bias person memory, the present study examined how self-identified White perceivers' interracial contact impacts learning of perceptual cues and person-knowledge about perceived Black and White others over five sessions of training.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
School of Mechanical Engineering, Jiangsu University, No.301 Xuefu Road, Zhenjiang 212013, Jiangsu Province, China. Electronic address:
Hydrogel-based bioelectronic systems offer significant benefits for point-of-care diagnosis, treatment of cardiac and cerebral disease, surgical procedures, and other medical applications, ushering in a new era of advancements in medical technology. Progress in hydrogel-based bioelectronics has advanced from basic instrument and sensing capabilities to sophisticated multimodal perceptions and feedback systems. Addressing challenges related to immune responses and inflammation regulation after implantation, physiological dynamic mechanism, biological toxicology as well as device size, power consumption, stability, and signal conversion is crucial for the practical implementation of hydrogel-based bioelectronics in medical implants.
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