摘要：文化传承视野下,非物质文化融入数字绘本创作,有助于传承和弘扬传统文化、推动文化产业创新、实现文化交流与互鉴、提升国民文化素养。在充分把握数字绘本所具备的多媒体集成性、交互性、个性化与动态化、跨平台性等基础之上,对数字绘本的独特优势及创作要求展开思考,深层次厘清非物质文化与数字绘本创作的耦合关系。在围绕融入相关故事,激发阅读兴趣;挖掘声音元素,提高交互体验;深化画面设计,促进视觉传达三个方面,提出文化传承视野下非物质文化融入数字绘本的创作策略。

摘要：Very high frequency(VHF) photocathode guns have excellent performance and are being increasingly selected as electron sources for high-repetition-rate X-ray free-electron lasers. As a highly loaded quality factor cavity, the VHF gun requires high stability in the amplitude and phase of the cavity field. However, the gun is microwave powered by two solid-state power sources through two separate power couplers. The input difference between the two power couplers will influence the stability of the cavity field. To systematically study this influence and obtain measurement formulae, a multi-port VHF gun LCR circuit model is built and analyzed. During the warm-up condition, the cavity structure will be deformed due to the large-scale change in the cavity temperature. Then, the deformation will result in cavity resonant frequency changes. To prevent the mechanic tuner from suffering damages due to the frequent and long-distance movement for correcting the cavity resonant frequency, a self-excited loop(SEL) control system is considered for changing the loop phase and make the loop frequency follow the resonant frequency. In this study, a steady-state model of the VHF gun cavity is built for obtaining the optimal input coupler coefficient and the stability requirement of the forward voltage. Then, the generator-driven resonator and SEL control system, which combine with the VHF multiport modeling, are modeled and simulated. The simulated results show that the SEL system can perfectly operate in the process of condition and warm-up.

摘要：为打破传统"设计直觉、灵感"生成过程"黑箱",运用可拓学基元理论,构建创意设计阶段基元模型,结合工业设计学科属性,提出"异特征"、"异量值"、"异规则"、"关系同构"四个构思层面,明确分物元获取参照方法,以保证物元变换品质,得到基于基元模型的产品创意设计方法及表征,有效提升产品创新品质。最后,以家用加湿器设计实例验证了本方法的有效性、实用性和创新性。

摘要：Hydrogel is a smart material with a three-dimensional network structure and has been widely used in various fields due to its good biodegradability, biocompatibility, and modification. Photosensitive hydrogel is a smart hydrogel, and its amenability to remote, precise control, and flexible and convenient regulation of stimulating factors make it an ideal candidate for use in fields such as biological materials, drug carriers, and sensors. In this review, we discuss the structure, mechanisms, design principles,and bioapplications of photosensitive hydrogels as developed in recent years. Finally, their potential for development and potential future challenges are outlined.

摘要：利用微生物矿化碳酸钙(Microbial Induced Calcium carbonate Precipitation,简称MICP)沉积出具有胶结功能的碳酸钙,填充土内孔隙、胶结土颗粒,能够提高土体强度、降低渗透性,具有很好的土体改良作用,在微生物注浆、加固土坝、防风固砂、库底防渗、坝体防渗、污染土壤(地下水)修复等方面具有工程应用前景。对MICP土体改良研究进行了总结、分析和展望:利用MICP技术能够将砂土的无侧限抗压强度提高到20MPa以上,渗透系数降低到处理前的1%,剪切波速提高4倍,能够胜任岩土工程任务;认为下一步应重点对处理效果的均匀性、适用的地基土范围、处理土的全面性能开展系统研究,如耐久性、动力性能和防腐性能等。MICP技术已经在砂砾体稳定、地下室堵漏中得到了少量应用,工程应用施工技术是MICP应用的瓶颈。对MICP在岩土工程领域应用的施工技术进行了设计,包括地基加固、液化地基改良、污染土壤(地下水)修复、坝体防渗堵漏和加固砂桩,以推动MICP技术的实际工程应用为盼。

摘要：This paper examines how Sun Guoting employs interpersonal metadiscourse to realize the credible appeal in his treatise Shu *** findings of the research indicate the credible appeal aided by this metadiscourse helps illuminate the rhetorical success of Shu *** markers as well as attitude markers prevail,which contribute to the ethos of a determined,upright and passionate calligraphy critic,scholar and ***,hedges,commentaries and attributors of interpersonal metadiscourse also carry credible meanings for Sun’s readers,though used less frequently.

摘要：网红玩具以其独特的设计、特殊的功能、多样的玩法和广泛的宣传深受众多儿童的喜爱。但由于不良引导和玩耍方式、危险的物理结构、危险的化学材料、危险的可燃性材料等多方面的缺陷,其质量安全问题也逐渐暴露。本文以常见的网红玩具为研究对象,结合国内外玩具标准要求,分析归纳网红玩具在玩耍过程中的危害机制,最后提出监管对策建议。

摘要：设计制图课程是各设计类专业的学科基础课程之一,旨在培养设计类专业学生绘制和阅读工程技术图样的能力,以便在实践工作中能不仅仅局限于设计的外在,而深入到设计的核心并与工程技术人员协同创造。在艺术类产品设计专业教学中设置设计制图课程能快速帮助学生从绘画思维向设计思维转变,提高学生的技术素养,逐步形成产品创意思维。

摘要：曾侯乙墓从1978年发掘至今研究成果颇丰,其在文化艺术和科学技术上的辉煌震惊世界,而与考古研究、文化艺术研究成果不相适应的是湖北省博物馆的文创产品设计。本研究以"曾国探幽"为主题设计考古类玩具,意图建立产品与玩家之间的情感连接,从一个新的角度对文物进行拆分重构,为玩家提供新的游戏体验。

摘要：In view of huge search space in drug design, machine learning has become a powerful method to predict the affinity between small molecular drug and targeting protein with the development of artificial intelligence technology. However, various machine learning algorithms including massive different parameters make the prediction framework choice to be quite difficult. In this work, we took a recent drug design competition(from XtalPi company on the DataCastle platform) as the typical case to find the optimized parameters for different machines learning algorithms and the most effective algorithm. After the parameter optimizations, we compared the typical machine learning methods as decision tree(XGBoost, lightGBM) and artificial neural network(MLP, CNN) with root-mean-square error(RMSE) and coefficient of determination(R^2) evaluation. As a result, decision tree is more effective than the neural network as lightGBM>XGBoost>CNN>MLP in the affinity prediction of the specific drug design problem with ～160000 samples. For a much larger screening task in a more complicated drug design study, the sophisticated neural network model may go beyond the decision tree algorithm after generalization enhancing and overfitting reducing. The advanced machine learning methods could extract more information of protein-ligand bindings than traditional ones and improve the screen efficiency of drug design up to 200–1000 times.