工业用地复兴的双向联动功能聚集体模式设计探讨——以京杭大运河(杭州段)沿岸为例

通过分析京杭大运河(杭州段)工业用地特点并从认知角度审视现有的工业用地复兴模式,强调延续当地居民对于地块认知、保持居民与地块有机联系的重要性,并以此为重要标准探索适合运河沿岸工业用地的复兴模式.在对杭州造船厂地块复兴规划的研究中提出双向联动的功能聚集体模式,即确定复兴生长点,保留具有可持续性的原有功能,保持适当的新旧功能比例,分析地块内部功能需求和地块外部区位需求,以明确聚集体功能群,形成良性的地块功能循环并对城区发展施加积极影响.     

Computer simulation of reversible electrochemical catalyst promoter dosing

Grand Canonical Monte Carlo simulations were used to study the growth of a Na layer onto a O-p(2 × 2)-Pt(1 1 1) surface. At the beginning of the deposition, the film presents a disordered structure which becomes progressively ordered as the coverage increases due to the repulsive lateral interactions between the adsorbates. We found some ordered structures like p(16 × 16), p(14 × 14) and p(12 × 12) which appears at coverages l lower than Θ ∼ 0.007, in all these overlayers the Na adatoms are adsorbed on fcc-hollow sites of the oxide surface.     

严冬施焊大型厚壁容器的裂纹成因及对策研究

结合多次现场试验及施工实践,分析研究了严冬季节(东北地区)施焊低合金钢制大型厚壁容器的焊接裂纹与产生原因(首次提出了多次焊接热循环引起的熔波裂纹新概念),及其一些主要影响因素与防裂止裂对策,并就如何提高一次焊接合格率及返修成功率提出一些有针对性的见解。     

Fusion of color, local spatial and global frequency information for face recognition

This paper presents a novel face recognition method by means of fusing color, local spatial and global frequency information. Specifically, the proposed method fuses the multiple features derived from a hybrid color space, the Gabor image representation, the local binary patterns (LBP), and the discrete cosine transform (DCT) of the input image. The novelty of this paper is threefold. First, a hybrid color space, the RC_rQ color space, is constructed by combining the R component image of the RGB color space and the chromatic component images, C_r and Q, of the YC_bC_r and YIQ color spaces, respectively. The RC_rQ hybrid color space, whose component images possess complementary characteristics, enhances the discriminating power for face recognition. Second, three effective image encoding methods are proposed for the component images in the RC_rQ hybrid color space to extract features: (i) a patch-based Gabor image representation for the R component image, (ii) a multi-resolution LBP feature fusion scheme for the C_r component image, and (iii) a component-based DCT multiple face encoding for the Q component image. Finally, at the decision level, the similarity matrices generated using the three component images in the RC_rQ hybrid color space are fused using a weighted sum rule. Experiments on the Face Recognition Grand Challenge (FRGC) version 2 Experiment 4 show that the proposed method improves face recognition performance significantly. In particular, the proposed method achieves the face verification rate (ROC III curve) of 92.43%, at the false accept rate of 0.1%, compared to the FRGC baseline performance of 11.86% face verification rate at the same false accept rate.     

HAS固化剂固化山渣做渠道衬砌材料技术的应用

采用HAS固化剂固化山渣做渠道衬砌是一种新型的衬砌材料,通过在黑花飞大型灌区渠道衬砌的应用实践表明,该材料安全可靠,具有造价低廉、施工方便等良好的综合效益,有较好的推广应用前景.     

Translating science to practice: Clinical Grand Rounds Series in Health Psychology.

In this issue of Health Psychology we launch an important new series focused on the implementation of evidence-based assessments and interventions in clinical settings. The series—Translating Science into Practice: Clinical Grand Rounds—is consistent with the journal’s emphasis on the practical significance of papers in Health Psychology and congruent with national and international trends in evidence-based care and translational science across all health disciplines. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Distinguishing between live and dead standing tree biomass on the North Rim of Grand Canyon National Park, USA using small-footprint lidar data

Accurate estimation of live and dead biomass in forested ecosystems is important for studies of carbon dynamics, biodiversity, wildfire behavior, and for forest management. Lidar remote sensing has been used successfully to estimate live biomass, but studies focusing on dead biomass are rare. We used lidar data, in conjunction with field measurements from 58 plots to distinguish between and map standing live and dead tree biomass in the mixed coniferous forest of the North Rim of Grand Canyon National Park, USA. Lidar intensity and canopy volume were key variables for estimating live biomass, whereas for dead biomass, lidar intensity alone was critical for accurate estimation. Regression estimates of both live and dead biomass ranged between 0 and 600 Mg ha^− 1, with means of 195.08 Mg ha^− 1 and 65.73 Mg ha^− 1, respectively. Cross validation with field data resulted in correlation coefficients for predicted vs. observed of 0.85 for live biomass (RMSE = 50 Mg ha^− 1 and %RMSE (RMSE as a percent of the mean) = 26). For dead biomass, correlation was 0.79, RMSE was 42 Mg ha^− 1, and %RMSE was 63. Biomass maps revealed interesting patterns of live and dead standing tree biomass. Live biomass was highest in the ponderosa pine zone, and decreased from south to north through the mixed conifer and spruce-fir forest zones. Dead biomass exhibited a background range of values in these mature forests from zero to 100 Mg ha^− 1, with lower values in locations having higher live biomass. In areas with high dead biomass values, live biomass was near zero. These areas were associated with recent wildfires, as indicated by fire maps derived from the Monitoring Trends in Burn Severity Project (MTBS). Combining our dead biomass maps with the MTBS maps, we demonstrated the complementary power of these two datasets, revealing that MTBS burn intensity class can be described quantitatively in terms of dead biomass. Assuming a background range of dead biomass up to 100 Mg ha^− 1, it is possible to estimate and map the contribution to the standing dead tree biomass pool associated with recent wildfire.     

Grand canonical Monte Carlo simulation of hydrogen physisorption in single-walled boron nitride nanotubes

The properties of hydrogen physisorption in single-walled boron nitride nanotubes (SWBNNTs) and single-walled carbon nanotubes (SWCNTs) are investigated in detail by the grand canonical Monte Carlo simulations. A great deal of our computational results show that the hydrogen storage capacity of SWBNNTs is slightly larger than the capacity of SWCNTs at any time when their diameters were equal and in the same conditions, and indicate that the hydrogen storage capacity of SWBNNTs at 293 K and 10 MPa with a diameter of more than 30 nm or at 293 K and 15 MPa with a diameter of more than 25 nm could exceed the 2010 goal of 6 wt%, which is presented by the U.S. Department of Energy. In addition, these results are discussed in theory.     

Modification of COF-108 via impregnation/functionalization and Li-doping for hydrogen storage at ambient temperature

Post-modification approaches such as Li-doping, impregnation, and functionalization are promising methods to enhance H₂ adsorption in metal–organic frameworks (MOFs) and covalent-organic frameworks (COFs). In this work, we propose a two-step method to modify COF-108 with the aim to enhance its hydrogen storage capacity at ambient temperature. First, we geometrically modified COF-108 through C₆₀ impregnation or aromatic ring grafting. Subsequently, we surface doped the modified COF-108 with Li atoms. COF-108 is the lightest 3D crystalline material ever reported and it is a promising H₂ storage material. Our grand canonical Monte Carlo (GCMC) simulations demonstrated that the combination of Li-doping with C₆₀ impregnation or aromatic ring grafting can potentially increase the volumetric H₂ adsorption capacity of COF-108 to reach a total H₂ adsorption capacity close to the U.S. DOE target. One of the Li-doped C₆₀-impregnated (Li₆C₆₀) COF-108 (with 8 Li₆C₆₀ moieties impregnated) showed an absolute H₂ uptake beyond the 2010 DOE target (45.6 mg/g and 28.6 g/cm³) at 233 K and 100 bar. Impregnation of C₆₀ and/or grafting of aromatic rings not only increased the density of doped Li in the modified COF-108 but also created more overlapped potential interaction with H₂, which resulted in higher number of H₂ adsorption sites per unit volume as compared to the unmodified material.