13 research outputs found

    To Redefine, Not Reinforce: A Spatial Decision Support System with Generative Design Model for Exploring Optimal Improvements to Existing Street Networks for Enhancing Equity of Accessibility

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    Transport decision-making determines people’s level of accessibility and deeply influences an individual’s access to social and economic opportunities and the quality of life. Socially vulnerable populations are highly dependent on yet often more likely to have less access to transport services and experience lower accessibility. This creates and reinforces social and spatial inequalities by trapping people in disconnected neighborhoods and segregated areas that continue to be deprived of access to opportunities. This research aims to develop a Spatial Decision Support System (SDSS) to explore how re-purposing existing streets for walking and biking could influence the accessibility of vulnerable neighborhoods to support decision-making in enhancing equity of accessibility. In the SDSS, equity of accessibility is formulated as a generative design (GD) problem, named the Street Allocation Decision Problem (SADP), a single-objective optimization problem that searches for generated designs with the maximum weighted improvement in accessibility per unit of its cost. A GD model is built to solve SADP. Lastly, an operational framework is developed to guide prospective users in tuning and operating the SDSS for their specific context, problem, and objective. The SDSS is tested on a toy problem, a 0.09km2 area in The Hague, The Netherlands. The toy problem is small in scale, easy and fast to implement and useful for initial testing of the model. Preliminary results have demonstrated the feasibility of the model. This is the first and humble attempt at developing an SDSS for enhancing equity of accessibility with a GD model. However, there are shortcomings in methodology and result quality, which compromise the practicality of the model and the interpretability of results. Although, only a proof of concept at the moment, the SDSS is a valuable starting point due to its advantages, such as transparency, modularity, humane-ness, and flexibility. This SDSS is built to involve decision-makers in the design process, which could serve as a useful learning experience for questioning and understanding what is the problem, what is considered equitable, and what are possible solutions. The SDSS has the potential to facilitate learning during transport decision-making in experimental settings or as explorative aids in early design stages.Industrial Ecolog

    [[alternative]]A Study of Web-Based Transfer of Training

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    [[abstract]]  With the fast popularity of computer and Internet and with globalized competition, enterprise seek the fast and cheap training way constantly in order to maintain the competition advantage, build and construct and train networked and already become the inevitable trend. The purpose of this study was to explore the effects of transfer of training which the student utilize non-synchronous web-based training to accept information and professional course of network in order to offer the reference basis to carry on the non- synchronous web-based training unit to strengthen the student to apply the skill the job after training in the future. For the purpose, the way to review with documents at first, put in order web-based training and transfer of training relevant documents existing, and probe into the theory of transfer of training and relevant research, as theoretical foundation of this research, and the scale is “web-based training transfer of training questionnaire” as the tool, investigate materials will be analyzed, obtain the result of study, put the conclusion and put forward the suggestion. Comprehensive research conclusion, sum up into the four points.

    Image Retargeting Quality Assessment

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    Content-aware image retargeting is a technique that can flexibly display images with different aspect ratios and simultaneously preserve salient regions in images. Recently many image retargeting techniques have been proposed. To compare image quality by different retargeting methods fast and reliably, an objective metric simulating the human vision system (HVS) is presented in this paper. Different from traditional objective assessment methods that work in bottom-up manner (i.e., assembling pixel-level features in a local-to-global way), in this paper we propose to use a reverse order (top-down manner) that organizes image features from global to local viewpoints, leading to a new objective assessment metric for retargeted images. A scale-space matching method is designed to facilitate extraction of global geometric structures from retargeted images. By traversing the scale space from coarse to fine levels, local pixel correspondence is also established. The objective assessment metric is then based on both global geometric structures and local pixel correspondence. To evaluate color images, CIE L*a*b* color space is utilized. Experimental results are obtained to measure the performance of objective assessments with the proposed metric. The results show good consistency between the proposed objective metric and subjective assessment by human observers

    To Bind or Not to Bind? Different Temporal Binding Effects from Voluntary Pressing and Releasing Actions

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    Binding effect refers to the perceptual attraction between an action and an outcome leading to a subjective compression of time. Most studies investigating binding effects exclusively employ the "pressing" action without exploring other types of actions. The present study addresses this issue by introducing another action, releasing action or the voluntary lifting of the finger/wrist, to investigate the differences between voluntary pressing and releasing actions. Results reveal that releasing actions led to robust yet short-lived temporal binding effects, whereas pressing condition had steady temporal binding effects up to super-seconds. The two actions also differ in sensitivity to changes in temporal contiguity and contingency, which could be attributed to the difference in awareness of action. Extending upon current models of "willed action," our results provide insights from a temporal point of view and support the concept of a dual system consisting of predictive motor control and top-down mechanisms

    Amygdala Volume Predicts Inter-Individual Differences in Fearful Face Recognition

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    The present study investigates the relationship between inter-individual differences in fearful face recognition and amygdala volume. Thirty normal adults were recruited and each completed two identical facial expression recognition tests offline and two magnetic resonance imaging (MRI) scans. Linear regression indicated that the left amygdala volume negatively correlated with the accuracy of recognizing fearful facial expressions and positively correlated with the probability of misrecognizing fear as surprise. Further exploratory analyses revealed that this relationship did not exist for any other subcortical or cortical regions. Nor did such a relationship exist between the left amygdala volume and performance recognizing the other five facial expressions. These mind-brain associations highlight the importance of the amygdala in recognizing fearful faces and provide insights regarding inter-individual differences in sensitivity toward fear-relevant stimuli

    Sodium hydrosulfide modifies the nutrient ratios of soybean (Glycinemax) under iron deficiency

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    Iron (Fe) deficiency in calcareous soils is a major limiting factor which influences production and yield of field crops. The present study investigated the effect of NaHS, a donor of H2S, which is emerging as a potential signaling molecule, on the nutrient ratios of soybean (Glycine max L.) under Fe deficiency. Soybean seedlings with and without NaHS were subjected to Fe deficiency and Fe sufficiency for 18 d. Subsequently, we determined the biomass of seedlings, chlorophyll concentration, Fe concentration, as well as the ratios of carbon (C), nitrogen (N), phosphorus (P), and potassium (K). The growth of soybean seedlings was inhibited by Fe deficiency. However, under Fe deficiency the application of NaHS increased the biomass as well as the Fe, N, P, and K concentrations compared to the controls. Furthermore, our results also show that the application of NaHS affected the ratios of C : N, C : P, C : K, N : P, N : K, and P : K in soybean seedlings under Fe deficiency and sufficiency. H2S played an important role in promoting the growth of soybean seedlings by enhancing the accumulation of nutrients under Fe deficiency

    The on-orbit calibration of DArk Matter Particle Explorer

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    The DArk Matter Particle Explorer (DAMPE), a satellite-based cosmic ray and gamma-ray detector, was launched on December 17, 2015, and began its on-orbit operation on December 24, 2015. In this work we document the on-orbit calibration procedures used by DAMPE and report the calibration results of the Plastic Scintillator strip Detector (PSD), the Silicon-Tungsten tracKer-converter (STK), the BGO imaging calorimeter (BGO), and the Neutron Detector (NUD). The results are obtained using Galactic cosmic rays, bright known GeV gamma-ray sources, and charge injection into the front-end electronics of each sub-detector. The determination of the boundary of the South Atlantic Anomaly (SAA), the measurement of the live time, and the alignments of the detectors are also introduced. The calibration results demonstrate the stability of the detectors in almost two years of the on-orbit operation

    The on-orbit calibration of DArk Matter Particle Explorer

    No full text
    The DArk Matter Particle Explorer (DAMPE), a satellite-based cosmic ray and gamma-ray detector, was launched on December 17, 2015, and began its on-orbit operation on December 24, 2015. In this work we document the on-orbit calibration procedures used by DAMPE and report the calibration results of the Plastic Scintillator strip Detector (PSD), the Silicon-Tungsten tracKer-converter (STK), the BGO imaging calorimeter (BGO), and the Neutron Detector (NUD). The results are obtained using Galactic cosmic rays, bright known GeV gamma-ray sources, and charge injection into the front-end electronics of each sub-detector. The determination of the boundary of the South Atlantic Anomaly (SAA), the measurement of the live time, and the alignments of the detectors are also introduced. The calibration results demonstrate the stability of the detectors in almost two years of the on-orbit operation

    Analytical methods for sensing of health-hazardous arsenic from biotic and abiotic natural resources

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