Neuronal units linked to microvascular modules in cerebral cortex: response elements for imaging the brain

How neuronal activity changes cerebral blood flow is of biological and practical importance. The rodent whisker-barrel system has special merits as a model for studies of changes in local cerebral blood flow (LCBF). Stimulus-evoked changes in neural firing and 'intrinsic signals' recorded through a cranial window were used to define regions of interest for repeated flow measurements. Whisker-activated changes in flow were measured with intravascular markers at the pia. LCBF changes were always prompt and localized over the appropriate barrel. Stimulus-related changes in parenchymal flow monitored continuously with H2 electrodes recorded short latency flow changes initiated in middle cortical layers. Activation that increased flow to particular barrels often led to reduced flow to adjacent cortex. Dye was injected into single penetrating arterioles from the pia of the fixed brain and injected into arterioles in slices of cortex where barrels were evident without stains. Arteriolar and venular domains at the surface were not directly related to underlying barrels. Capillary tufts in layer IV were mainly coincident with barrels. The matching between a capillary plexus (a vascular module) and a barrel (a functional neuronal unit) is a spatial organization of neurons and blood vessels that optimizes local interactions between the two. The paths of communication probably include: neurons to neurons, neurons to glia, neurons to vessels, glia to vessels, vessels to vessels and vessels to brain. Matching a functional grouping of neurons with a vascular module is an elegant means of reducing the risk of embarrassment for energy-expensive neuronal activity (ion pumping) while minimizing energy spent for delivery of the energy (cardiac output). For imaging studies this organization sets biological limits to spatial, temporal and magnitude resolution. Reduced flow to nearby inactive cortex enhances local differences.     

ASRNet: Adversarial Segmentation and Registration Networks for Multispectral Fundus Images

Multispectral imaging (MSI) technique is often used to capture images of the fundus by illuminating it with different wavelengths of light. However, these images are taken at different points in time such that eyeball movements can cause misalignment between consecutive images. The multispectral image sequence reveals important information in the form of retinal and choroidal blood vessel maps, which can help ophthalmologists to analyze the morphology of these blood vessels in detail. This in turn can lead to a high diagnostic accuracy of several diseases. In this paper, we propose a novel semi-supervised end-to-end deep learning framework called “Adversarial Segmentation and Registration Nets” (ASRNet) for the simultaneous estimation of the blood vessel segmentation and the registration of multispectral images via an adversarial learning process. ASRNet consists of two subnetworks: (i) A segmentation module S that fulfills the blood vessel segmentation task, and (ii) A registration module R that estimates the spatial correspondence of an image pair. Based on the segmention-driven registration network, we train the segmentation network using a semi-supervised adversarial learning strategy. Our experimental results show that the proposed ASRNet can achieve state-of-the-art accuracy in segmentation and registration tasks performed with real MSI datasets.     

即时定向新闻采集技术研究

互联网的迅速发展带动了信息量的爆炸性增加。如何更快地采集所需信息一直是国内外研究和开发的热点。近年来,不断增长的对特定信息(例如特定领域的新闻)的需求要求有针对性地从指定的网站即时采集相关信息。这些新闻一般具有不可预见性、更新频率较快、时效性强等特点。这要求我们必须能针对这些特点实现即时定向的采集。本文提出了一种有效抓取网页并进行分析的方法,实践表明取得了满意的效果。     

Bioderived Bilayer Shell Modification β-FeOOH Nanorods via Self-Assembly Technique as Sustainable Flame Retardants for Enhancing Flame Retardancy of Epoxy Resin

The design and application of bioderived flame retardants have been widely conducted to meet the concept of green and sustainable development. Here, self-assembly technique is used to prepare core–shell bioderived additives by using β-FeOOH as the core and polydopamine (PDA)/tannic acid (TA) bilayer as the shell, following adsorption of nickel ions to enhance the thermal stability, flame retardancy, and mechanical properties of epoxy resin (EP). The molecular structure of biobased resources is rich in hydroxyl groups and carbon content, which can be dehydrated and carbonized during combustion and promote the formation of robust protective char layer. With the addition of 5 wt% β-FeOOH@PTNi, the EP composites can pass V-0 rating in the UL-94 test. The peak heat release rate and total heat release decrease by 28.4% and 17.4% compared with pure EP. The bioderived nanorods can capture the oxygen free radicals, contributing to flame retarding in gaseous phase. Thus, the release of high-toxic CO and flammable gaseous is significantly suppressed. Besides, the storage modulus of EP composites increases by 16.0% with the addition of 5% β-FeOOH@PTNi compared with pure EP. This work provides a sustainable methodology for the design of bioderived flame retardants for EP.     

改性聚丙烯酰胺水溶液的疏水缔合性质

合成了一种疏水缔合水溶性聚丙烯酰胺共聚物，使用荧光光谱法并结合紫外及流变性实验，对制备的疏水缔合水溶性聚丙烯酰胺共聚物在水溶液中形成疏水微区、超分子聚集体及空间网络结构进行了研究，并用扫描电子显微镜证实了溶液中网络结构的存在．     

乳山硫铁矿破碎工艺的改进

原矿含泥量大造成设备的堵塞。根据现场生产实际改用粉碎后的矿粒直接给入扇形孔条筛，筛下可调刮板使细粒均匀分布在皮带下面，粗粒复盖其上。物料到达皮带首轮处，使其呈抛掷状态，然后利用分离挡板除去细粒。首轮的直径和转速是按粒度分离的决定因素。分离细粒级后使中碎机生产能力增大，降低能耗，减少磨损，提高了设备运转率。     

影响裂解汽油二段加氢催化剂长周期运转因素及解决措施

从裂解汽油二段加氢催化剂性能、裂解汽油和操作条件等方面论述了影响该催化剂长周期运转的因素,并针对这些因素提出相应的措施,以达到延长催化剂运转周期的目的。     

吸收剂量对二甲基硅橡胶与甲基乙烯基硅橡胶分子量和凝胶含量的影响

将ＧＰＣ和特性粘数［η］测定相结合，在室温和－７８℃下，用Ｃｏ~（６０）辐射源辐照，研究了二甲基硅橡胶（ＭＱ，吸收剂量２．０５×１０~３～３．９７×１０~４Ｇｙ）和甲基乙烯基硅橡胶（ＭＶＱ，吸收剂量１０~２～１０~４）分子量和凝胶含量的变化。结果表明，辐照ＭＶＱ较辐照ＭＱ易生成凝胶，在凝胶点前的较低吸收剂量时，溶胶的分子量出现极大值，分子量分布曲线呈单峰；随吸收剂量的增加，分子量分布变窄，分子量降低；出现凝胶的吸收剂量，ＭＱ大约是ＭＶＱ的１０倍。辐照ＭＱ时，凝胶点前的溶胶的分子量分布曲线为双峰，并随吸收剂量的增加，双峰消失，分子量下降；在凝胶点时，分子量出现极大值。