科学
关于呼吸防护标准的说明 N95 N99 N100口罩 FFP1 FFP2 FFP3口罩
0前几天街上的空气真的好差，到处都是不能散去的汽车尾气和灰尘。据美国大使馆提供的资料，很小的污染物颗粒，会进入肺部和循环系统并无法被人体排出。为了健康，我买了3M的口罩和呼吸面具，顺便了解了各种不同的防护标准，下文是转载的资料，原文地址.
| 等级 | Penetration 渗透率 | 捕集率 | Resistant 阻抗 |
| FFP1 | 20% | ≥80% | 21mm H2O |
| FFP2 | 6% | ≥94% | 24mm H2O |
| FFP3 | 1% | ≥99% | 30mm H2O |
| 等级 | Penetration渗透率 | 捕集率 | Resistant 阻抗 |
| N95 | 5% | ≥95% | 35mm H2O |
| N99 | 1% | ≥99% | 35mm H2O |
| N100 | 0.03% | ≥99.97% | 35mm H2O |
朱文昊 注：阻抗率中的 mm H2O 是压强单位毫米水柱。1千帕约等于102毫米水柱，一毫米水柱约等于1/102千帕。另外 PM2.5指直径2.5微米的颗粒物，标准中提到的0.3微米测试颗粒比PM2.5小很多。我最终选择了FFP3标准的产品。
化学常见术语英文说法
0BET公式 BET formula DLVO理论 DLVO theory
HLB法 hydrophile-lipophile balance method
pVT性质 pVT property
ζ电势 zeta potential
阿伏加德罗常数 Avogadro’number
阿伏加德罗定律 Avogadro law
阿累尼乌斯电离理论 Arrhenius ionization theory
阿累尼乌斯方程 Arrhenius equation
阿累尼乌斯活化能 Arrhenius activation energy
阿马格定律 Amagat law
艾林方程 Erying equation
爱因斯坦光化当量定律 Einstein’s law of photochemical equivalence
爱因斯坦－斯托克斯方程 Einstein-Stokes equation
安托万常数 Antoine constant
安托万方程 Antoine equation
盎萨格电导理论 Onsager’s theory of conductance
半电池 half cell
半衰期 half time period
饱和液体 saturated liquids
饱和蒸气 saturated vapor
饱和吸附量 saturated extent of adsorption
饱和蒸气压 saturated vapor pressure
爆炸界限 explosion limits
比表面功 specific surface work
比表面吉布斯函数 specific surface Gibbs function
比浓粘度 reduced viscosity
标准电动势 standard electromotive force
标准电极电势 standard electrode potential
标准摩尔反应焓 standard molar reaction enthalpy
标准摩尔反应吉布斯函数 standard Gibbs function of molar reaction
标准摩尔反应熵 standard molar reaction entropy
标准摩尔焓函数 standard molar enthalpy function
标准摩尔吉布斯自由能函数 standard molar Gibbs free energy function
标准摩尔燃烧焓 standard molar combustion enthalpy
标准摩尔熵 standard molar entropy
标准摩尔生成焓 standard molar formation enthalpy
标准摩尔生成吉布斯函数 standard molar formation Gibbs function
标准平衡常数 standard equilibrium constant
标准氢电极 standard hydrogen electrode
标准态 standard state
标准熵 standard entropy
(更多...)
IEEE计算机学会南京分会学术报告系列
0IEEE计算机学会南京分会将在南京大学举行学术报告，详细信息如下，欢迎参加！
题目：Solving Constrained Total-Variation Image Restoration and
Reconstruction Problems via Alternating Direction Methods
报告人：Prof. Michael Ng
Department of Mathematics, Hong Kong Baptist University
时间：8月27日，14:30-15:30
地点：南京大学蒙民伟楼404
摘要：In this paper, we study alternating direction methods for solving
constrained total-variation image restoration and reconstruction problems.
Alternating direction methods can be implementable variants of the classical
augmented Lagrangian method for optimization problems with separable
structures and linear constraints. The proposed framework allows us to solve
problems of image restoration, impulse noise removal, inpainting and image
cartoon+texture decomposition. As the constrained model is employed, we
cartoon+only need to input the noise level and the estimation of the
regularization parameter is not required in these imaging problems.
Experimental results for such imaging problems are presented to illustrate
the effectiveness of the proposed method. We show that the alternating
direction method is very efficient for solving image restoration and
reconstruction problems.
(更多…)
IEEE计算机学会南京分会学术报告系列
题目: Greedy Algorithms for Sparse Learning
报告人：Tong Zhang
Department of Statistics
Rutgers University
时间：7月14日，14:00-15:00
地点：南京大学蒙民伟楼404
摘要：Sparse Learning has attracted much attention in recent years. There are two classes of methods: convex relaxation such as L1 regularization and greedy algorithms. Although the former has received more attention in the machine learning community, my opinion is that the latter approach is more flexible and powerful. This talk will discuss variations of greedy algorithms in the context of sparse recovery.
简介: Tong Zhang received a B.A. in mathematics and computer science from Cornell University in 1994 and a Ph.D. in Computer Science from Stanford University in 1998. After graduation, he worked at IBM T.J. Watson Research Center in Yorktown Heights, New York, and Yahoo Research in New York city. He is currently a statistics professor at Rutgers University. His research interests include machine learning, algorithms for statistical computation, their mathematical analysis and applications.
我的BOINC排名进入前50%!
0感谢我的爱人贡献出她的Dell Studio XPS8100的绝大部分CPU时间.
在我的Credits中,除了这台Dell Desktop,贡献最大的就是位于LA,CA的本站服务器了.可惜的是服务器没有GPU.
现在我的BOINC贡献全球排名(Rank%)已经超过53%,排名(Rank)值已经小于1M.
当然我知道,这和数以T计的计算能力相比,只是沧海一粟.但是我为我和我家人的贡献感到自豪.
我们目前加入了SETI@Home,SETI@Home Beta,Rosetta@Home,Climate Prediction,SIMAP这几个项目,为天文计算,医药研究,大气科学,和生物科学研究做贡献.