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Detailed DFT studies of H and C NMR chemical shifts of hydroxy secondary oxidation products of various geometric isomers of conjugated linolenic acids methyl esters are presented. Several low energy conformers were identified for model compounds of the central dienenol OH moiety, which were found to be practically independent on the various functionals and basis sets used. This greatly facilitated the minimization process of the geometric isomers of conjugated linolenic acids methyl esters.

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Manipulating Toughness and Microstructure in Polyelectrolyte Complex Hydrogels with Competitive Surfactant Micelles.

Langmuir

December 2024

Key Laboratory of Functional Polymer Materials of Ministry of Education and College of Chemistry, Nankai University, Tianjin 300071, China.

Polyelectrolyte complex (PEC) hydrogels provide a promising strategy to develop a class of physically cross-linked networks characterized by exceptional toughness and self-healing properties. However, the precise control of the microstructure and the enhancement of mechanical properties still pose challenges in the field of PEC hydrogels. Herein, we propose a strategy to manipulate the structure of PEC with competitively charged surfactant micelles, leveraging the spatially confined surface charge and excluded volume effects to overcome coacervation issues associated with the PEC, thus achieving a simple one-step preparation of macroscopically uniform and tough PEC hydrogels.

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Introduction: Maternal undernutrition and inflammation in utero may significantly impact the neurodevelopmental potential of offspring. However, few studies have investigated the effects of pregnancy interventions on long-term child growth and development. This study will examine the effects of prenatal nutrition and infection management interventions on long-term growth and neurodevelopmental outcomes of offspring.

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The early fault characteristics of rolling bearings are weak, especially in a strong noise environment, which are more difficult to extract; therefore, a method based on wavelet packet decomposition, multi-verse optimizer, and maximum correlated kurtosis deconvolution for weak fault feature extraction of rolling bearings is proposed. First, the original vibration signal is decomposed using wavelet packet decomposition, followed by proposing a signal reconstruction method combining the Pearson correlation coefficient and energy ratio to effectively remove noise from the original signal. Second, the parameters L and M of Maximum Correlated Kurtosis Deconvolution (MCKD) are optimized using the multi-verse optimizer algorithm to obtain optimal filter settings.

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Imaging plates (IPs) are valuable tools for measuring the intensity of ionizing radiation such as x-rays, electrons, and ions. In this work, we measured the sensitivity of IPs to carbon ions in the unexplored energy region of 0.7-10 keV.

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