三唑-芳香多羧酸类混配金属配合物的结构与磁性能研究

以三唑为主配体的过渡金属配合物以其结构多样性及在磁性、吸附等功能材料中的潜在应用而成为众多科研工作者的研究热点内容之一．本文从三唑一芳香多羧酸混配配合物的合成以及芳香酸对配合物中金属一三唑次级结构的调节角度,总结了近年来报道的该类混配金属配合物的结构多样性．在此基础上,初步关联了该类混合配体顺磁金属配合物的磁一构关系．     

《义务教育化学课程标准(2022年版)》解读——物质的性质与应用

对《义务教育化学课程标准(2022年版)》中“物质的性质与应用”学习主题进行解读,该主题体现核心素养发展的具体化要求,包括以大概念为统领的主题内容结构和要求、明确核心素养表现期望的学业要求以及核心素养导向的教学提示建议等。     

微乳液法制备介孔碳材料

介孔碳材料因具有高比表面积,规则的孔隙结构,低密度,良好的生物相容性及导电性,被广泛应用于催化、能量储存及转化、吸附分离和药物递送等领域。微乳液法具有制备工艺简便、环境友好、可大规模生产及产物结构可控性强等突出优势,在制备孔隙结构可控和特殊形态介孔碳方面取得突破性的进展。本文首先着重分析了微乳液法制备介孔碳的反应机理,包括微乳液诱导协同组装机制、乳液溶胀效应和微流控液滴技术。其次,进一步探讨了控制介孔碳材料孔隙形态、外部形貌及内部结构的影响因素。最后,对新型介孔碳材料在能源储存与转化、催化、吸附以及药物递送领域的应用进行了归纳,并对未来的发展提出了展望。     

高通量测序技术在水环境微生物群落多样性中的应用

微生物群落多样性的研究方法随着现代生物学技术经历了几代发展,基于形态学、生理学、分子生物学的传统研究方法在取得大量研究成果的同时,受对环境微生物群落多样性认识的限制,亟待获得一种能更加全面、准确、快速反映环境微生物群落结构的方法。本文首先回顾了传统研究方法,重点介绍了高通量测序技术,包括研究者所关注的测序仪分布、类型、原理、优势与制约,列举了多样性研究中的分析作图软件,最后以454的焦磷酸测序为例具体阐述了该方法在分析水环境微生物群落多样性中的应用。     

高通量测序技术在水环境微生物群落

微生物群落多样性的研究方法随着现代生物学技术经历了几代发展,基于形态学、生理学、分子生物学的传统研究方法在取得大量研究成果的同时,由于对环境微生物群落多样性认识的限制,亟待获得一种更加全面、准确、快速,反映环境微生物群落结构的方法。本文首先回顾了传统研究方法,重点介绍了高通量测序技术,包括研究者所关注的测序仪分布、类型、原理、优势与制约,列举了多样性研究中的分析作图软件,最后以454焦磷酸测序为例具体阐述了该方法在分析水环境微生物群落多样性中的应用。     

基于上转换纳米粒子的低损伤神经界面技术

Optogenetics is a neuromodulation technology that combines light control technology with genetic technology, thus allowing the selective activation and inhibition of the electrical activity in specific types of neurons with millisecond time resolution. Over the past several years, optogenetics has become a powerful tool for understanding the organization and functions of neural circuits, and it holds great promise to treat neurological disorders. To date, the excitation wavelengths of commonly employed opsins in optogenetics are located in the visible spectrum. This poses a serious limitation for neural activity regulation because the intense absorption and scattering of visible light by tissues lead to the loss of excitation light energy and also cause tissue heating. To regulate the activity of neurons in deep brain regions, it is necessary to implant optical fibers or optoelectronic devices into target brain areas, which however can induce severe tissue damage. Non- or minimally-invasive remote control technologies that can manipulate neural activity have been highly desirable in neuroscience research. Upconversion nanoparticles (UCNPs) can emit light with a short wavelength and high frequency upon excitation by light with a long wavelength and low frequency. Therefore, UCNPs can convert low-frequency near-infrared (NIR) light into high-frequency visible light for the activation of light-sensitive proteins, thus indirectly realizing the NIR optogenetic system. Because NIR light has a large tissue penetration depth, UCNP-mediated optogenetics has attracted significant interest for deep-tissue neuromodulation. However, in UCNP-mediated in vivo optogenetic experiments, as the up-conversion efficiency of UCNPs is low, it is generally necessary to apply high-power NIR light to obtain up-converted fluorescence with energy high enough to activate a photosensitive protein. High-power NIR light can cause thermal damage to tissues, which seriously restricts the applications of UCNPs in optogenetic technology. Therefore, the exploration of strategies to increase the up-conversion efficiency, fluorescence intensity, and biocompatibility of UCNPs is of great significance to their wide applications in optogenetic systems. This review summarizes recent developments and challenges in UCNP-mediated optogenetics for deep-brain neuromodulation. We firstly discuss the correspondence between the parameters of UCNPs and employed opsins in optogenetic experiments, which mainly include excitation wavelengths, emission wavelengths, and luminescent lifetimes. Thereafter, we introduce the methods to enhance the conversion efficiency of UCNPs, including optimizing the structure of UCNPs and modifying the organic dyes in UCNPs. In addition, we also discuss the future opportunities in combining UCNP-mediated optogenetics with flexible microelectrode technology for the long-term detection and regulation of neural activity in the case of minimal injury.     

单碱基多样性的非测序检测

单碱基多样性（SNP）是最常见的基因突变形式之一,经研究证明与很多疾病相关。虽然测序是检测SNP的重要方法,但其需要检测仪器,且检测时间较长,限制了其临床应用。本文综述了SNP的常见非测序分析方法。首先讨论了检测的热力学问题,并归纳了主要的检测策略：基于杂交的检测,基于链取代反应的检测和酶介导的检测。在三维均相检测方法中,主要介绍了不同信号开关策略,如荧光开关、酶识别开关和场效应开关。三维原位检测不仅能检测SNP,还能提供其细胞定位信息,在细胞异质性较高时更具优势。二维界面检测的识别反应速率和杂交效率受到一定影响,但界面检测能进一步减小干扰,亦便于实现高通量检测。以DNA正四面体探针界面为代表的改良界面具有优良的灵敏度和特异性。同时本文亦讨论了现有方法的局限性,并对SNP非测序检测研究进行展望。     

Numeral eddy current sensor modelling based on genetic neural network

This paper presents a method used to the numeral eddy current sensor modelling based on the genetic neural network to settle its nonlinear problem. The principle and algorithms of genetic neural network are introduced. In this method, the nonlinear model parameters of the numeral eddy current sensor are optimized by genetic neural network （GNN） according to measurement data. So the method remains both the global searching ability of genetic algorithm and the good local searching ability of neural network. The nonlinear model has the advantages of strong robustness, on-line modelling and high precision. The maximum nonlinearity error can be reduced to 0.037% by using GNN. However, the maximum nonlinearity error is 0.075% using the least square method.     

新疆阿拉山口地区鼠类群落物种多样性的初步研究

根据阿拉山品地区环境和鼠类分布的差异将该地区的鼠类划分为５种鼠类群落，（１）红尾沙鼠＋五趾跳鼠群落，（２）五趾跳鼠＋小家鼠群落；（３）红尾沙鼠群落；（４）褐家鼠＋小家鼠群落；（５）小家鼠＋灰仓鼠群落，同时对鼠类群落的多样性－均匀度和相似性等进行了初步分析。     

An型扭双指标代数

给出了F (Δ)-有限的A_n型偏序集的扭双指标代数的完全分类