基于生物启发计算的警用流动人口分析系统

目前对流动人口的管理仅停留在数据查询比对和简单统计上,缺少对数据的深层次分析,难以对决策指挥提供支持。针对流动人口的分析问题,提出了构建一个基于生物启发计算的智能分析系统,用于发现流动人口中各类人员的流动模式以及流动人口的趋势性问题,找出异常的流动信息和模式。该系统综合运用了前沿的生物启发计算技术——基于多层染色体基因表达式编程算法、重叠基因表达进化算法、基于概念相似度神经网络分类模型和层次距离计算的聚类算法搭建了一个警用流动人口的分析平台。同时根据实际需求,提出了一种新的基于智能分析结果的分级报警模型。实验表明系统具有较高的性能和实用性。     

桂东大瑶山地区金矿床的成矿构造类型及其成矿指示

广西大瑶山地区金矿的成矿构造类型可分为两大类：一类为流体型成矿构造,另一类为构造型成矿构造。其中：流体型成矿构造有流体脉型、流体角砾岩型及流体细脉型;构造型成矿构造有构造蚀变岩型、构造脉型。构造解析后认为：桃花金矿床的控矿构造（指控制成矿构造的构造）为伸展型脆-韧性剪切带,早期成矿构造类型主要为流体脉型,晚期为构造蚀变岩型;古袍志隆金矿床的控矿构造为逆-平型脆-韧性剪切带,早期成矿构造类型为流体细脉型、流体脉型,晚期为构造蚀变岩型;古袍湾岛金矿床的控矿构造为发育于顺层侵位花岗斑岩中的脆性破裂带,早期成矿构造类型为流体细脉型,属雏形成矿构造（控制特富金矿包）,晚期为构造蚀变岩型;龙水金矿床的控矿构造为走滑型脆-韧性剪切带,其成矿构造类型为流体脉型;六岑金矿床的控矿构造为与隐伏酸性岩体侵位有关的节理-断裂型脆性破裂构造,其成矿构造类型为构造脉型及构造蚀变岩型。基于对该区金矿床成矿构造类型的划分及控矿构造类型的研究,本文对广西大瑶山地区主要金矿床（点）的成矿前景作出了评估。     

Poly(2‐hydroxyethyl methacrylate‐co‐ethylene dimethacrylate) as a mouse embryonic stem cells support

A series of swellable ethylene dimethacrylate‐crosslinked poly(2‐hydroxyethyl methacrylate) (PHEMA) sheets of homogeneous (nonporous) structure or with different degrees of swelling and porosities was produced by bulk polymerization in either the absence or the presence of various diluents (porogens). Calculations performed by use of the solubility parameter δ of the reaction components indicate that the solvation conditions of the polymerization system change, depending on the solvating power of the diluent, which thus controls the porosity. Pore volume also seemed to be sensitive to the presence of the linear polymer diluent. Polystyrene (PS) showed, compared with poly(methyl methacrylate) (PMMA), a higher precipitating ability to form porous PHEMA sheets with an increased pore size because of its higher noncompatibility with newly formed crosslinked PHEMA. Given that PHEMA hydrogel is well known for its biocompatibility, it was used here as a potential carrier of cells in transplantation therapies. Attachment and growth of mouse embryonic stem (ES) cells on gelatin‐coated transparent PHEMA hydrogel substrates were examined. Two days after plating, survival and morphology of ES cells were largely similar on both PHEMA hydrogel sheets and in petri dishes as controls. This suggests that PHEMA hydrogels are likely candidates for application in transplantation therapies involving ES cells. © 2002 Wiley Periodicals, Inc. J Appl Polym Sci 87: 425–432, 2003     

Quantitative Proteomics Study Reveals Changes in the Molecular Landscape of Human Embryonic Stem Cells with Impaired Stem Cell Differentiation upon Exposure to Titanium Dioxide Nanoparticles

The increasing number of nanoparticles (NPs) being used in various industries has led to growing concerns of potential hazards that NP exposure can incur on human health. However, its global effects on humans and the underlying mechanisms are not systemically studied. Human embryonic stem cells (hESCs), with the ability to differentiate to any cell types, provide a unique system to assess cellular, developmental, and functional toxicity in vitro within a single system highly relevant to human physiology. Here, the quantitative proteomics approach is adopted to evaluate the molecular consequences of titanium dioxide NPs (TiO₂ NPs) exposure in hESCs. The study identifies ≈328 unique proteins significantly affected by TiO₂ NPs exposure. Proteomics analysis highlights that TiO₂ NPs can induce DNA damage, elevated oxidative stress, apoptotic responses, and cellular differentiation. Furthermore, in vivo analysis demonstrates remarkable reduction in the ability of hESCs in teratoma formation after TiO₂ NPs exposure, suggesting impaired pluripotency. Subsequently, it is found that TiO₂ NPs can disrupt hESC mesoderm differentiation into cardiomyocytes. The study unveils comprehensive changes in the molecular landscape of hESCs by TiO₂ NPs and identifies the impact which TiO₂ NPs can have on the pluripotency and differentiation properties of human stem cells.     

一种仿生的面向可重构多细胞阵列的分布式定序方法

提出一种仿生的面向多细胞阵列的分布式定序方法.该方法是基于生物学上的图式形成理论,通过催化剂-抑制剂模型在多细胞阵列中建立浓度梯度,并在此基础上进行定序.该方法具有如下的特点:跟现有的多细胞阵列维序方法相比,它采用主动的维序方式;跟传统的分布式定序方法相比,它不需要初始特征值就能实现定序和维序.故障注入实验表明,该定序方法较现有的方法具有更强的鲁棒性,在细胞出错的情况下能够重新建立浓度梯度和重新定序.此外,我们在Xilinx公司的型号为Virtex-6 XC6VLX760的FPGA芯片上实现了5x5多细胞阵列,对浓度梯度建立和重建时间及硬件资源开销进行了评估.     

仿生法制备功能陶瓷薄膜材料

介绍了一种新的功能陶瓷薄膜制备方法——仿生法。该方法不同于传统的湿化学方法，如水热合成法、熔胶凝胶法、电化学法等，其突出特点是无外加电场，不需要调制熔胶或者凝胶，可以在常温常压下合成。该方法涉及两个关键点：基板表面的修饰和溶液条件的控制。我们在基板(单晶硅，玻璃等)的表面通过化学吸附的方式生长了一层自组织单分子层，然后将这层单分子层部分暴露在紫外光下，使暴露部分发生光化学反应，从而生成与未暴露部分不同的新的官能团。以此为模板，在适合的溶液条件下(溶液的过饱和度等)，通过溶液与模板表面官能团之间的选择性的物理化学作用，实现了从溶液中直接制备位置、形貌、结晶形态等可控的功能陶瓷薄膜。作者以SrTiO3为例简单介绍了这种新的合成方法。     

Artificial extracellular matrix for embryonic stem cell cultures: a new frontier of nanobiomaterials

Abstract

Nanobiomaterials can play a central role in regenerative medicine and tissue engineering by facilitating cellular behavior and function, such as those where extracellular matrices (ECMs) direct embryonic stem (ES) cell morphogenesis, proliferation, differentiation and apoptosis. However, controlling ES cell proliferation and differentiation using matrices from natural sources is still challenging due to complex and heterogeneous culture conditions. Moreover, the systemic investigation of the regulation of self-renewal and differentiation to lineage specific cells depends on the use of defined and stress-free culture conditions. Both goals can be achieved by the development of biomaterial design targeting ECM or growth factors for ES cell culture. This targeted application will benefit from expansion of ES cells for transplantation, as well as the production of a specific differentiated cell type either by controlling the differentiation in a very specific pathway or by elimination of undesirable cell types.     

Parkinson’s Disease Detection Using Biogeography-Based Optimization

In recent years, Parkinson's Disease (PD) as a progressive syndrome of the nervous system has become highly prevalent worldwide. In this study, a novel hybrid technique established by integrating a Multi-layer Perceptron Neural Network (MLP) with the Biogeography-based Optimization (BBO) to classify PD based on a series of biomedical voice measurements. BBO is employed to determine the optimal MLP parameters and boost prediction accuracy. The inputs comprised of 22 biomedical voice measurements. The proposed approach detects two PD statuses: 0-disease status and 1- good control status. The performance of proposed methods compared with PSO, GA, ACO and ES method. The outcomes affirm that the MLP-BBO model exhibits higher precision and suitability for PD detection. The proposed diagnosis system as a type of speech algorithm detects early Parkinson’s symptoms, and consequently, it served as a promising new robust tool with excellent PD diagnosis performance.     

Effects of controlled water temperatures on oviposition in a lotic‐breeding and externally fertilizing salamander (Hynobius kimurae)

Warm or cool ambient temperatures during winter generate plasticity in the within‐year timing of oviposition or breeding phenology shifts through the use of a reaction norm in many riverine ectotherms, but within‐year timing of oviposition in Hynobius kimurae (Caudata: Hynobiidae) is predicted to be constant at different water temperatures of a mountain stream. To clarify this difference, by experimentally controlling water temperatures from fall to spring and thus changing durations of aquatic hibernation and dates of oviposition, we determined whether oviposition is more advanced when water temperatures increase earlier than usual or is more delayed when water temperatures increase later than usual. Oviposition was more delayed than usual with earlier exposure to high water temperatures during spring and was earlier than usual with exposing to higher water temperatures during hibernation. Days from submergence to oviposition were responsive to cumulative daily water temperatures from submergence to oviposition within a population. A rate of increase in days from submergence to oviposition was different between populations but was constant within a population even if minimal water temperatures varied each year. When running a program of a Markov chain Monte Carlo generalized linear mixed model for Bayesian computation to interpret confounding effects, neither different treatments nor different years statistically affected days from submergence to oviposition. These results suggest that a biological clock exits for days from submergence to oviposition in H. kimurae, which could allow survival in situations with either warmer or cooler environments.