Preparation and characterization of poly(ethyl acrylate)/bentonite nanocomposites by in situ emulsion polymerization

Transparent poly(ethyl acrylate) (PEA)/bentonite nanocomposites containing intercalated-exfoliated combinatory structures of clay were synthesized by in situ emulsion polymerizations in aqueous dispersions containing bentonite. The samples for characterization were prepared through direct-forming films of the resulting emulsions without coagulation and separation. An examination with X-ray diffraction and transmission electron microscopy showed that intercalated and exfoliated structures of clay coexisted in the PEA/bentonite nanocomposites. The measurements of mechanical properties showed that PEA properties were greatly improved, with the tensile strength and modulus increasing from 0.65 and 0.24 to 11.16 and 88.41 MPa, respectively. Dynamic mechanical analysis revealed a very marked improvement of the storage modulus above the glass-transition temperature. In addition, because of the uniform dispersion of silicate layers in the PEA matrix, the barrier properties of the materials were dramatically improved. The permeability coefficient of water vapor decreased from 30.8 x 10(-6) to 8.3 x 10(-6) g cm/cm(2)s cmHg. (C) 2002 Wiley Periodicals, Inc.

Structure, electric and magnetic properties of new compounds CdYMWO7 (M = Cr and Mn)

Two new compounds with the formula of CdYMWO7 (M = Cr, Mn) were prepared by solid state reaction. They crystallized with orthorhombic structure with the cell parameters of a = 11.7200 Angstrom, b = 7.1779 Angstrom, c = 6.9805 Angstrom (CdYCrWO7), and a = 11.7960 Angstrom, b = 6.1737 Angstrom, c = 7.6530 Angstrom (CdYMnWO7). These compounds are insulators with high resistivities at room temperature. The temperature dependence of the magnetic susceptibility of CdYMWO7 (M = Cr and Mn) show Curie-Weiss Law's behaviors from 80 to 300 K. The magnetic moments at room temperature fit very well with those corresponding to Cr3+ and Mn3+ ions. This suggests that both Cr and Mn ions exist in + 3 oxidation state in CdYMWO7 compounds. (C) 1998 Elsevier Science Ltd. All rights reserved.

STRUCTURE OF AN ERBIUM COORDINATION COMPOUND WITH L-PROLINE, ([ER(PRO)2(H2O)5]CL3)(N)

catena-Poly[{pentaaqua(L-proline-O)-erbium-mu-(L-proline-O:O')} trichloride], {[Er(C5H9-NO2)2(H2O)5]Cl3}n, M(r) = 594.0, monoclinic, P2(1), a = 8.294 (1), b = 10.981 (3), c = 11.934 (3) angstrom, beta = 107.04 (2)degrees, V = 1039.2 (4) angstrom3, Z = 2, D(x) = 1.90 g cm-3, lambda(Mo Kalpha) = 0.71069 angstrom, mu = 45.2 cm-1, F(000) = 586, T = 298 K, R = 0.0244 for 1711 unique reflections [I > 3 sigma(I(o))]. The crystal consists of one-dimensional chains of infinite length in which one L-proline ligand bridges two neighboring Er ions, the other L-proline ligand being monodentate.

钆对二棕榈酰磷脂酰胆碱脂质体相变性质的影响

随着稀土在农业、药物等方面的应用日益广泛,特别是钆的二乙三胺五乙酸配合物(Gd-DTPA)已被临床应用于核磁共振成像的造影剂等,因此研究稀土在生物体内的作用机理,已成为当前极感兴趣的课题,虽然有关稀土的宏观毒理学已有不少报道,但是研究稀土对生物膜的影响报道很少,钆对生物膜的作用尚未见报道,稀土离子和钙离子在体内的竞争亦是人们关心的问题,本文采用差示扫描量热(DSC)、激光拉曼技术研究了钆离子及Gd-DTPA等对人工膜二棕榈酰磷脂酰胆碱(DPPC)脂质体相变性质的影响,并观察了Gd~(3+)对人工膜上结合钙的取代作用。

总线桥:概念、方法和实现

在基于不同总线标准的个人计算机、工程工作站以及一些工业控制机间建立高速的并行通信通道,将它们构成多机系统,能够以较小的代价获得增强的系统特性.本文引入了一种在系统总线间提供并行数据通道的异种总线互连底板——总线桥的概念,讨论了它的结构和工作原理,提出了其实现方案,并着重描述了为总线桥定义的双向并行通讯协议 BBP(Bus Bridge Prtocol)

面向任务的机器人语言的实现

本文提出的面向任务的机器人语言是为移动机器人提供的一种编程工具。利用环境描述语言和其他灵活的人机对话方式建立环境模型;根据各种不同的性能指标,规划出最佳路径;根据安全等因素自动规划出最佳路径上的行走参数;对来自传感器的信息进行处理,以确定机器人实际位置及障碍情况;引导机器人沿规划好的路径行走,纠正偏差或重新选择避障路径。

中国天山过去43年大气环境变化：来自冰芯草酸根记录的证据

中、低纬度地区山地冰川有机酸记录的研究是目前国际冰芯地球化学研究的前沿之一。中国天山乌鲁木齐河源一号冰川为一中纬度山地冰川。对其冰芯的草酸根含量的分析显示，其冰芯所记录的过去43年草酸根变化的总体特征是在一个背景值基础上存在着含量的突变峰值。草酸根的背景值含量在1ng／g左右，在部分冰芯段，其含量甚至低于测试分析的检测限；而大多数草酸根峰值的含量都达到或超过了10ng／g。草酸根的平均含量为3．6±9．2ng／g(x^-±1σ，N=534)，其中70％以上由峰值构成。50年代后期是草酸根的一个低值期，平均含量略高于本底值；至60-70年代达到最高值，平均含量为5．0ng／g；80年代草酸根平均含量又下降到接近50年代后期的水平；至90年代回落到本底值附近。草酸根的主要来源是人类活动对大气所造成的污染。其过去43年平均含量的变化大致与中国西部工业和环境保护事业的发展历程相一致，是西部区域大气污染变化的一种反应。

铜锌同位素方法在环境地球化学研究中的应用

近年来，随着多接收电感耦合等离子体质谱 (MC-ICP-MS)逐渐应用，过渡族金属(Cu，Zn 和Fe 等)同位素测试方法逐渐成熟，测定精度可达0.04‰，使得铜锌铁等同位素地球化学研究成为近年来国际地学研究领域的热点。本文对铜锌同位素的测试方法、分馏机理及其在环境地球化学研究领域的应用进行了较系统综述。

Exercise training can induce cardiac autophagy at end-stage chronic conditions: Insights from a graft-versus-host-disease mouse model

Chronic graft-versus-host disease (cGVHD) is a frequent cause of morbimortality after allogeneic hematopoietic stem cell transplantation (allo-HSCT), and severely compromises patients' physical capacity. Despite the aggressive nature of the disease, aerobic exercise training can positively impact survival as well as clinical and functional parameters. We analyzed potential mechanisms underlying the recently reported cardiac function improvement in an exercise-trained cGVHD murine model receiving lethal total body irradiation and immunosuppressant treatment (Fiuza-Luces et al., 2013. Med Sci Sports Exerc 45, 1703-1711). We hypothesized that a cellular quality-control mechanism that is receiving growing attention in biomedicine, autophagy, was involved in such improvement. Our results suggest that exercise training elicits a positive autophagic adaptation in the myocardium that may help preserve cardiac function even at the end-stage of a devastating disease like cGVHD. These preliminary findings might provide new insights into the cardiac exercise benefits in chronic/debilitating conditions.

Działalność bibliotekarska i bibliofilska profesora Kazimierza Kaczmarczyka (1878–1966), dyrektora Archiwum Państwowego w Poznaniu

Artykuł przedstawia działalność zasłużonego archiwisty i historyka, długoletniego dyrektora Archiwum Państwowego w Poznaniu, prof. dra Kazimierza Kaczmarczyka (1878–1966) w Poznańsko-Pomorskim Kole Związku Bibliotekarzy Polskich, w Związku Bibliotekarzy Polskich Koło Poznańskie, Związku Bibliotekarzy i Archiwistów Polskich Koło Poznańskie oraz w Stowarzyszeniu Bibliotekarzy Polskich Okręg Poznański do roku 1939 oraz w latach 1945–1966. Wspomniano także o udziale Kaczmarczyka w pracach poznańskiego Towarzystwa Bibliofilów Polskich w latach 1924–1939. W artykule omówiono jego księgozbiór oraz starania o sprzedanie książek Wydziałowi Humanistycznemu Uniwersytetu Marii Curie-Skłodowskiej w Lublinie, a następnie Bibliotece Katolickiego Uniwersytetu Lubelskiego.

Teatro historico de las Iglesias del Reyno de Aragon : tomo primero preliminar [-IX]

En Tomo V. 2 h. de grabados calcográficos representando monedas de Huesca.

Relation de la Mission Abnaquise de St. Franðcois de Sales L'Annâee 1702 / par le Páere Jacques Bigot, de la Compagnie de Jâesus.

http://www.archive.org/details/missionabnaquise00bigorich

Indexing Methods for Efficient Multiclass Recognition

Many real world image analysis problems, such as face recognition and hand pose estimation, involve recognizing a large number of classes of objects or shapes. Large margin methods, such as AdaBoost and Support Vector Machines (SVMs), often provide competitive accuracy rates, but at the cost of evaluating a large number of binary classifiers, thus making it difficult to apply such methods when thousands or millions of classes need to be recognized. This thesis proposes a filter-and-refine framework, whereby, given a test pattern, a small number of candidate classes can be identified efficiently at the filter step, and computationally expensive large margin classifiers are used to evaluate these candidates at the refine step. Two different filtering methods are proposed, ClassMap and OVA-VS (One-vs.-All classification using Vector Search). ClassMap is an embedding-based method, works for both boosted classifiers and SVMs, and tends to map the patterns and their associated classes close to each other in a vector space. OVA-VS maps OVA classifiers and test patterns to vectors based on the weights and outputs of weak classifiers of the boosting scheme. At runtime, finding the strongest-responding OVA classifier becomes a classical vector search problem, where well-known methods can be used to gain efficiency. In our experiments, the proposed methods achieve significant speed-ups, in some cases up to two orders of magnitude, compared to exhaustive evaluation of all OVA classifiers. This was achieved in hand pose recognition and face recognition systems where the number of classes ranges from 535 to 48,600.