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A chemical shape‐memory hydrogel containing crystalline structure is prepared via micellar copolymerization of hydrophilic monomer acrylamide (AM) and hydrophobic monomer octadecyl acrylate (C18) in a sodium dodecyl sulfate (SDS) solution. The influence of SDS on the shape‐memory behavior of hydrogel investigated by differential scanning calorimetry (DSC) and Temperature‐dependent X‐ray indicate that the melting and crystallization peaks derived from the thermal properties of C18 units is different from peaks corresponding to the pure SDS. In addition, the microstructure evolution information of hydrogels dose not change upon heating process, regardless of the presence or absence of SDS. Therefore, only the hydrophobic associations formed by C18 blocks play a decisive role in the shape memory function of hydrogel system. The difference between the transition process (from temporary shape to permanent shape) of hydrogel with and without SDS at different temperature is because that the hydrophobic region of side chain crystallization of SDS‐free hydrogel may escape the restriction of SDS and become more sensitive to temperature, they can preferentially return to their initial shape under the same time and temperature than SDS‐containing gels. Whether SDS exists only affect the speed of shape memory behavior, but not the microstructure evolution of hydrogel system. [ABSTRACT FROM AUTHOR]

Simple Summary: Colorectal cancer (CRC) is the third most common cancer worldwide and the second leading cause of cancer-related death. In this study, we aimed to determine the biological function and regulatory mechanism of GMEB2 in CRC. We found that GMEB2 was highly expressed in CRC and significantly promoted the growth of CRC in vitro and in vivo. Mechanistically, GMEB2 acted as a transcription factor to activate ADRM1/NF-κB signalling and was upregulated by YTHDF1 through enhancing its mRNA stability. Our findings suggest that GMEB2 may serve as a new therapeutic target for CRC treatment in the future. Transcription factors are frequently aberrantly reactivated in various cancers, including colorectal cancer (CRC). However, as a transcription factor, the role of GMEB2 in cancer is still unclear, and further studies are needed. Here, we aimed to identify the function and mechanism of GMEB2 in regulating the malignant progression of CRC. GMEB2 was found to be highly expressed in online data analyses. We demonstrated that GMEB2 was markedly upregulated at both the mRNA and protein levels in CRC cells and tissues. GMEB2 knockdown inhibited CRC cell growth in vitro and in vivo. Mechanistically, as a transcription factor, GMEB2 transactivated the ADRM1 promoter to increase its transcription. Rescue experiments showed that ADRM1 downregulation partially reversed the promoting effects of GMEB2 on CRC growth in vitro. Moreover, the GMEB2/ADRM1 axis induced nuclear translocation of NF-κB, thus activating NF-κB signalling. Finally, we further revealed that YTHDF1 recognized and bound to the m6A site on GMEB2 mRNA, which enhanced its stability. Taken together, our findings reveal the crucial role and regulatory mechanism of GMEB2 in CRC for the first time and provide a novel potential therapeutic target for CRC therapy. [ABSTRACT FROM AUTHOR]

The purpose of target threat assessment is to quantitatively estimate the threat level of the target based on the target based on the target's attributes and status information and provide auxiliary support for operational decision-making. Existing threat assessment models mostly rely on numerical information, and it is difficult to effectively process target feature information containing qualitative and quantitative data. Based on this, this paper proposes an improved adaptive network based fuzzy inference system model. On the basis of the adaptive network based fuzzy inference system, the antecedent influence matrix and the consequent influence matrix are introduced to process the qualitative data, so that the influence of the quantitative and qualitative data acts on the antecedent parameters and the consequent parameters of the fuzzy rules at the same time. In order to further improve the output accuracy of the model, the output layer of the adaptive network based fuzzy inference system is replaced with a polynomial neural network. The structure of the improved model is identified by the affinity propagation clustering algorithm based on Gower distance, and the initial parameters of the fuzzy rules are determined. Simulation examples verify the effectiveness and feasibility of the proposed method. Compared with other mixed attribute data modeling methods, the proposed method has a higher prediction accuracy and can provide effective auxiliary support for battle command decision-making. [ABSTRACT FROM AUTHOR]

This article proposes an analytical framework on China's engagement with international ideas that stresses the crucial role of Chinese bureaucracies' deliberation. It argues that bureaucratic deliberation is influenced by three factors: orthodox bureaucratic norms, candidate ideas' performance in policy experimentation, and bureaucratic interests. When orthodox norms decline, bureaucracies become more open to novel ideas. But only when policy experiments with a novel idea generate positive performance and when the new policy fits bureaucratic interests, can the idea be adopted. China's adoption of Carbon Emissions Trading (ET) was influenced by the National Development and Reform Commission (NDRC), the deliberation within which was influenced by the change of China's defensive position in climate governance, the unsatisfactory performance of command-and-control measures, and the NDRC's political interests. [ABSTRACT FROM AUTHOR]

Nanocomposites consisting of a poly (vinylidene fluoride) (PVDF) matrix and 0-8 wt% fluoropropyl polyhedral oligomeric silsesquioxane (FP-POSS) were obtained through the solvent evaporation method. Morphology, crystallization, as well as thermal and mechanical properties were investigated. FP-POSS, acting as a nucleating agent, exhibited robust miscibility with PVDF, enhancing the crystallinity of PVDF. A high relative fraction of the β phase was observed in the composites. The thermal degradation of PVDF was not significantly affected by FP-POSS under a nitrogen atmosphere. Low addition of FP-POSS, acting as nanofiller, led to remarkable improvement in mechanical properties, including hardness. The maximum was achieved at 3 wt%. High amounts led to inferior mechanical properties. POLYM. ENG. SCI., 53:1364-1373, 2013. © 2012 Society of Plastics Engineers, INTRODUCTION Poly (vinylidene fluoride) (PVDF) is extensively used in smart structure sensors, actuators, and transducers because of its good piezoelectric and pyroelectric properties. PVDF is semicrystalline and classified as having [...]