Gaining a better understanding of nonhuman primate research

The use of animals in research has long been debated.In partic-ular,the use of nonhuman primates(NHPs)in either basic or applied research is controversial[1,2]....     

Hydrothermal synthesis and photoluminescence behavior of CeO<Subscript>2</Subscript> nanowires with the aid of surfactant PVP

Well-crystalline CeO₂ nanowires were prepared via a surfactant-assisted hydrothermal process. Reaction temperature and reaction time were changed for the determination of optimal synthesis parameters. The as-obtained products were characterized by X-ray diffraction (XRD), high-resolution transmission electron microscopy (HRTEM), and field emission scanning electron microscopy (FESEM). The results show that single crystal CeO₂ nanowires with high yield and good uniformity can be obtained hydrothermally at 180°C for 12 h with the aid of 2.0 g surfactant (polyvinyl pyrrolidone, PVP). The role of PVP was then discussed and a possible growth mechanism was proposed. Moreover, room temperature photoluminescence (PL) spectra were obtained for these CeO₂ nanowires, which are believed to be related to the abundant defects in these nanostructures.     

大学生物理模型知识的调查分析

为了有针对性地设计培养学生物理建模能力的实验方案，对在校大学生物理模型基础知识的掌握情况，对物理模型的认知程度以及对待进行物理建模能力训练的态度等方面进行了广泛调查和认真分析，通过定量统计和定性分析，总结归纳了6个方面的现状。     

大围山自然保护区建设与管理总体设计

 通过1997～2000年对大围山的实地考察,提出加强大围山自然保护区建设与管理的意见和建议,并对该区升格为国家级自然保护区作出了设计.     

基于IRS—P6AWIFS遥感影像和GIS的湖北省生态环境评价

以IRS-P6 AWIFS遥感影像为主要数据源,利用监督分类方法进行土地利用/覆被分类,在GIS技术支持下,通过空间分析提取出生物丰度指数、植被覆盖指数、水网密度指数、土地退化指数、环境质量指数等评价信息.依据国家环境监测总站2006年颁布的〈生态环境状况评价技术规范〉（HJ/192-2006）建立生态环境质量评价模型,通过模型的空间叠加进行湖北省生态环境状况评价. 结果 表明湖北省各地市生态环境状况总体较好,这与湖北各地的自然条件、气候条件、资源开发与利用等因素具有较好的相关性,表明评价模型是科学客观的.本文探索了IRS-P6 AWIFS数据和GIS技术相结合的生态环境状况评价方法,对区域生态环境的保护和改善具有积极意义.     

秦皇岛世纪海洋花园竞争力分析

世纪海洋花园竞争力的影响因素可以从潜在消费者的角度分为楼盘区位（地理位置、交通通讯及基础设施等）、销售价格、住宅功能（户型结构、容积率、住宅类型等）、商品房供求状况、施工质量、小区环境（公建设施、绿化情况、外部景观、空气质量及声噪环境等）、物业管理、增值预期及品牌等，对这些因素进行主观赋值与客观赋权相结合的多元统计分析结果表明，世纪海洋花园的开发是成功的，其市场竞争力在秦皇岛现有楼盘中位居前列。     

An efficient scheme for multi-party quantum state sharing via non-maximally entangled states

We present a new scheme for investigating the usefulness of non-maximally entangled states for multi-party quantum state shar-ing in a simple and elegant manner.In our scheme,the sender,Alice shares n various probabilistic channels composed of non-maximally entangled states with n agents in a network.Our protocol involves only Bell-basis measurements,single qubit measurements,and a two-qubit unitary transformation operated by free optional agents.Our scheme is a more convenient realiza-tion because no other multipartite joint measurements are needed.Furthermore,in our scheme various probabilistic channels lessen the requirement for quantum channels,which makes it more practical for physical implementation.     

A machine learning-based method to detect fluorescent spots and an accelerated,parallel implementation of this method

Under most microscopes, the fluorescent sig- nals emitted from biological structures, such as vesicles, as well as the signals from single molecules will appear as small puncta, which contribute to a Gaussian-like distri- bution. Accurate segmentation of these spots will funda- mentally affect our interpretation of a specific biological progress. Because of the complicated backgrounds in images, many algorithms fail to identify all of the inter- esting signals; the tremendous amount of time required for algorithms to process large datasets can also decrease their utility. Here, we introduce an excellent robust detection method based on the machine learning algorithm Ada- Boost, which outperforms threshold-based segmentation, wavelets, and FDA under most situations. We also provide a GPU/multi-core CPU implementation of this algorithm; this implementation accelerates the algorithm approxi- mately 10- and 7-fold acceleration compared with a single CPU implementation. The great reduction of time should make this method a promising candidate in the processing of large datasets. Furthermore, we demonstrate the use of our algorithm on true fluorescent micrographs, and the results show that machine learning-based detection meth- ods outperform the four other previously reported methods.     

Study on the electronic structure of nickel hydroxide by quantum chemical DV-Xα calculation

The electronic structures of atom clusters NiTO12H12^2＋ and NiTO12H9^- of β-Ni（OH）2 were calculated by quantum chemical DV-Xα method. By analyzing the state densities, orbital populations, net charges and electric charge density differences of the selected clusters, it was indicated that β-Ni（OH）2was not typical ionic crystal, and the bonds between Ni and O atoms had obvious covalent characteristics. The bonds between H atom and other atoms in the crystal structure were weaker, which ensured that H atoms can easily deintercalate and intercalate into β-Ni（OH）2. The structure of β-Ni（OH）2 was not changed by moderate de-intercalation of H atoms. However, with the excessive de-intercalation of H atoms, the structure of β-Ni（OH）2 changed and the electrochemical active properties were reduced.