Dark matter and baryogenesis in the Fermi-bounce curvaton mechanism

We elaborate on a toy model of matter bounce, in which the matter content is constituted by two fermion species endowed with four fermion interaction terms. We describe the curvaton mechanism that is thus generated, and then argue that one of the two fermionic species may realize baryogenesis, while the other(lighter) one is compatible with constraints on extra hot dark matter particles.     

基于数据挖掘技术的专业图书书目受众定位研究

采用数据挖掘技术,对图书馆管理系统中读者借阅记录进行深入分析和挖掘,建立了读者阅读书目模型,利用模型推荐与读者借阅行为密切相关的阅读书目。实例证明,该模型具有可操作性,可以激发读者借阅行为,促使图书馆资源合理地分配,从而提升了图书馆服务质量。     

一元弱酸溶液中氢离子浓度计算公式的使用条件

利用质子条件式（PBE）推导了一元弱酸溶液中氢离子浓度的各类计算公式，对它们的使用条件进行了解释。     

地震助推日本NPID／NGO

日本大地震后，NP0／NGO组织异常活跃。据不完全统计。截至8月上旬，参与日本灾区救援的NPO／NGO组织成员超过50万人，在灾后重建过程中。NIPO／NGO组织承担着重要的角色。日本的NPO／NGO组织在增进福利、振兴文教、营造社区、国际救援、灾害救助、维护人权等领域．不仅弥补了日本社会结构和体制上的诸多问题，     

太阳影子定位

本文给出物体在太阳底下影子长度及影子方位角的动态变化规律, 据此建立确定物体所处位置和日期的非线性最小二乘模型, 讨论相应的求解方法. 在此基础上, 利用针孔成像原理, 根据视频中物体影子的变化规律来确定视频的拍摄日期和地点.     

中药炮制机理研究的思路与方法——以咖啡豆的烘焙原理研究为例

中药炮制是中药学的特色和优势,也是最具我国自主知识产权的学科之一.中药炮制研究的核心是阐明中药炮制机理,这也是制约中药现代化的关键节点.目前大部分中药的炮制机理尚不明确,有待进行系统深入的研究.咖啡豆需要烘培后才可以制成饮料,这个高温烘培过程类似于中药的炮制过程.近年来,国内外专家对咖啡豆高温烘培过程化学成分变化及其机理进行了深入研究,各种新方法和新技术得到广泛应用,取得了系列研究成果,这些研究成果为中药炮制机理研究提供了多种新思路和新方法,也为中药炮制机理的研究和阐明提供了重要示范.     

介孔Co-Al2O3催化剂上甲烷部分氧化制合成气

采用一锅法制备了介孔Co-Al2O3催化剂,并首次用于甲烷部分氧化制合成气反应. 结果表明,与普通浸渍法相比,一锅法制备的Co-Al2O3催化剂表现出更为优异的催化性能. 合成的介孔Co-Al2O3催化剂具有大的比表面积和孔体积,以及规整有序的六方介孔孔道,Co物种高度分散,从而导致还原后高的金属分散度,而介孔孔道对金属纳米颗粒的约束作用可有效增强金属的抗烧结能力.     

Fast parallel algorithm for three-dimensional distance-driven model in iterative computed tomography reconstruction

The projection matrix model is used to describe the physical relationship between reconstructed object and projection.Such a model has a strong influence on projection and backprojection,two vital operations in iterative computed tomographic reconstruction.The distance-driven model(DDM) is a state-of-the-art technology that simulates forward and back projections.This model has a low computational complexity and a relatively high spatial resolution;however,it includes only a few methods in a parallel operation with a matched model scheme.This study introduces a fast and parallelizable algorithm to improve the traditional DDM for computing the parallel projection and backprojection operations.Our proposed model has been implemented on a GPU(graphic processing unit) platform and has achieved satisfactory computational efficiency with no approximation.The runtime for the projection and backprojection operations with our model is approximately 4.5 s and 10.5 s per loop,respectively,with an image size of 256×256×256 and 360 projections with a size of 512×512.We compare several general algorithms that have been proposed for maximizing GPU efficiency by using the unmatched projection/backprojection models in a parallel computation.The imaging resolution is not sacrificed and remains accurate during computed tomographic reconstruction.