1,858 research outputs found
Feasibility Analysis and Scheme Design of Library Information Literacy Education Game APP
The article outlines the concept of information literacy and the background of national information literacy education. Under the current situation of national information literacy education, it proposes a new idea of information literacy education game APP, analyzes its feasibility, and finally designed the implementation plan for information literacy education game APP from four aspects: establishes a development team, design principles, scenarios and levels design, promotion and evaluation
Study on California Digital Library’s DataUp Project
Introduce the background and survey process of CDL’s DataUp project, analyze scientists’ research data management needs and the requirements for DataUp tool, display the project’s outcome, reveal the enlightenments for domestic research data management
Nitrification performance of activated sludge under low dissolved oxygen conditions
The combined effects of solids retention time (SRT) and dissolved oxygen (DO) concentration on nitrification, nitrifying bacterial communities, and aeration needs in the activated sludge process were studied. Nitrification was almost completed in the 10, 20, and 40-day SRT reactors with a minimum DO of 0.37, 0.25, and 0.16 mg/L, respectively. Under long-term low DO conditions, the endogenous decay of nitrifiers was slowed down and then nitirfier biomass concentration increased, thereby reducing the adverse effect of low DO on nitrification. Under long-term low DO conditions, the oxygen affinity of nitrite-oxidizing bacteria (NOB) increased significantly and as a result, NOB became a better competitor for oxygen than ammonia-oxidizing bacteria (AOB). Nitrosomonas europaea/eutropha-like AOB were dominant with all tested SRTs and DO levels. Nitrobacter-like NOB and Nitrospira-like NOB played the main role in the nitrite oxidation in the 5 and 40-day SRT reactors, respectively. In all reactors, Nitrospira increased considerably when the DO was reduced to ≤ 0.5 mg/L. Compared to a baseline condition (SRT = 10 days and DO = 2 mg/L), aeration need was reduced by about 20% under these two conditions (SRT = 10 days and DO = 0.37 mg/L; SRT = 40 days and DO = 0.16 mg/L). It was found that the boom of filamentous bacteria inhibited the oxygen transfer efficiency considerably in the 20-day SRT reactor.
In the activated sludge process, a combination of effluent ammonia and nitrite could effectively report insufficient or excessive DO, which was proposed as the indicator for aeration control. A simple control approach can be developed to reduce the aeration when both effluent ammonia and nitrite concentrations are [less than or equal to] 0.5 mg-N/L. When either is ≥ 2 mg-N/L, increase the aeration. --Abstract, page iv
Perception Driven Texture Generation
This paper investigates a novel task of generating texture images from
perceptual descriptions. Previous work on texture generation focused on either
synthesis from examples or generation from procedural models. Generating
textures from perceptual attributes have not been well studied yet. Meanwhile,
perceptual attributes, such as directionality, regularity and roughness are
important factors for human observers to describe a texture. In this paper, we
propose a joint deep network model that combines adversarial training and
perceptual feature regression for texture generation, while only random noise
and user-defined perceptual attributes are required as input. In this model, a
preliminary trained convolutional neural network is essentially integrated with
the adversarial framework, which can drive the generated textures to possess
given perceptual attributes. An important aspect of the proposed model is that,
if we change one of the input perceptual features, the corresponding appearance
of the generated textures will also be changed. We design several experiments
to validate the effectiveness of the proposed method. The results show that the
proposed method can produce high quality texture images with desired perceptual
properties.Comment: 7 pages, 4 figures, icme201
Monitoring Breast Tumor Lung Metastasis by U-SPECT-II/CT with an Integrin αvβ3-Targeted Radiotracer 99mTc-3P-RGD2
Purpose: The purpose of this study was to evaluate the capability of u-SPECT-II/CT to monitor the progression of breast cancer lung metastasis using 99mTc-3P-RGD2 as a radiotracer
Effects of double layer porous asphalt pavement of urban streets on noise reduction
AbstractRoad traffic is the major noise source that impacts the largest numbers of city dwellers. Urban traffic noise control at the source typically involves providing quieter i.e. low noise pavement and regular maintenance. The aim of this paper is to propose a double-layer porous asphalt pavement for keeping the traffic noise at a low level with good durability. It contains the top layer of fine aggregates and bottom layer of course aggregates. The noise-absorption performance of this asphalt pavement is evaluated by adjusting the parameters of the pavement structure simulated in air–solid coupled numerical models. The reduction of noise by using the newly proposed asphalt pavement is compared with those of the traditional pavements such as the thin surfacing (TSF) with small aggregates and rubberized asphalt pavement (RAP). The results from the outdoor noise tests for the double-layer porous asphalt pavement verifies the virtual pavement models and noise reduction effects in practice. This asphalt pavement is designated to lower the noise level of urban road traffic and boost the living environments of the city dwellers
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