I know you are beautiful even without looking at you: discrimination of facial beauty in peripheral vision

Prior research suggests that facial attractiveness may capture attention at parafovea. However, little is known about how well facial beauty can be detected at parafoveal and peripheral vision. Participants in this study judged relative attractiveness of a face pair presented simultaneously at several eccentricities from the central fixation. The results show that beauty is not only detectable at parafovea but also at periphery. The discrimination performance at parafovea was indistinguishable from the performance around the fovea. Moreover, performance was well above chance even at the periphery. The results show that the visual system is able to use the low spatial frequency information to appraise attractiveness. These findings not only provide an explanation for why a beautiful face could capture attention when central vision is already engaged elsewhere, but also reveal the potential means by which a crowd of faces is quickly scanned for attractiveness

1-(4-Cyano­benz­yl)-4-methyl­pyridinium bromide

In the title compound, C14H13N2 +·Br−, the 1-(4-cyano­benz­yl)-4-methyl­pyridinium cation has a Λ-shaped conformation, and the dihedral angle between the benzene and pyridinium rings is 75.8 (2)°. In the crystal, two cations form a dimer through π–π inter­actions between pyridine rings [the centroid–centroid distance is 3.685 (1) Å]

Poly[aqua[μ2-1,2-bis­(imidazol-1-yl­methyl)benzene-κ2 N 3:N 3′](μ2-5-bromo­benzene-1,3-dicarboxyl­ato-κ3 O 1,O 1′:O 3)nickel(II)]

In the two-dimensional title coordination polymer, [Ni(C8H3BrO4)(C14H14N4)(H2O)]n, the NiII atom adopts a distorted octa­hedral geometry, being ligated by three O atoms from two different 5-bromo­benzene-1,3-dicarboxyl­ate ligands, two N atoms from two 1,2-bis­(imidazol-1-ylmeth­yl)benzene ligands and one coordinated water mol­ecule. The Ni atoms are bridged by the 5-bromo­benzene-1,3-dicarboxyl­ate ligands, forming chains, which are further linked by 1,2-bis­(imidazol-1-ylmeth­yl)benzene, generating a layer structure parallel to (001)

Properties of gapped systems in AdS/BCFT

We study the conductivities and entanglement structures of two different holographic gapped systems at zero density in the presence of boundaries within AdS/BCFT. The first gapped system is described by the Einstein-scalar gravity and the second one is the dual of AdS soliton geometry. We show that in both these two systems the bulk and boundary conductivities along the spatial direction of the boundary of BCFT are trivial. For the first system, when we increase the size of the subsystem the renormalized entanglement entropy is always non-negative and monotonically decreasing with discontinuous, or continuous, or smooth behavior, depending on the effective tension of the brane. While for the AdS soliton with a boundary, the renormalized entanglement entropy only exhibits a discontinuous drop when we increase the size of the subsystem.Comment: 36 pages, 17 figures, published versio

Silt Resource Utilization and Benefit Analysis of Silt Fired Perforated Brick Production: Take Nantong, China for Example

Resource utilization of silt dredging from rivers and other lake is an important issue that related to many government departments like water conservancy, shipping, land resources, construction management and other industries. It involves social, economic and environmental effects. With the encouragement of national policy of protecting arable land, make use of dredging silt to producing clay wall material is a higher value-added resource utilization than used for fill material and land use. Combined with the practice of producing fired perforated brick in Jiangsu Nantong, the economic, social and environmental benefits were analyzed based on the Summary of all these resource utilization. And the recommendation of regional development of the industry was presented at last. Key words: Silt; Resource utilization; Fired perforated brick; Benefit analysis; Water dredgin

Development of Guidelines for Collecting Transit Ridership Data

Transit ridership is a critical determinant for many transit applications such as operation optimizations and project prioritization under performance-based funding mechanisms. As a result, the quality of ridership data is of utmost importance to both transit administrative agencies and transit operators. Many transit operators in Virginia report their ridership data to the Department of Rail and Public Transportation (DRPT) and the National Transit Database (NTD). However, with no specific guidelines available to transit agencies in Virginia for collecting ridership data, the heterogeneous mixture of diverse data collection methods and technologies has often raised concerns about the consistency and quality of the reported data. This study investigated the ridership data collection practices adopted by transit agencies in Virginia and developed high-level guidelines to facilitate data collection with improved quality. Specifically, it examined the data collection practices discussed in the literature and those adopted by local transit agencies in Virginia. The research team surveyed 39 transit agencies to obtain a clear understanding of their current practices in data collection scope, technological solutions, sampling and estimation techniques, and data storage and reporting, among others. To evaluate the potential estimation errors based on sampled data, the researchers requested and obtained actual data from five transit agencies of different sizes in Virginia. Comparisons between selected data collection solutions were conducted, and the estimation errors were tested based on different sample data from these agencies. Based on the findings from literature review, surveys, and analysis of actual data, a set of high-level data collection guidelines was proposed. This study recommends that DRPT distribute the developed guidelines among transit agencies in Virginia to help facilitate improved data collection practices across Virginia. It is also recommended that DRPT require the submission of each agency’s ridership data collection methods and correction (adjustment) procedures, in addition to the agency’s reported ridership data