Tug of War Between Ovarian Stimulation and Endometrial Receptivity
In: Reproductive sciences: RS : the official journal of the Society for Reproductive Investigation, Band 15, Heft 4, S. 335-335
ISSN: 1933-7205
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In: Reproductive sciences: RS : the official journal of the Society for Reproductive Investigation, Band 15, Heft 4, S. 335-335
ISSN: 1933-7205
In: Journal of Asian and African studies: JAAS, Band 30, Heft 1-2, S. 118-119
ISSN: 1745-2538
In: Journal of developing societies, Band 3, Heft Oct 87
ISSN: 0169-796X
In: Survey review, Band 47, Heft 344, S. 379-385
ISSN: 1752-2706
In: Gerontechnology: international journal on the fundamental aspects of technology to serve the ageing society, Band 13, Heft 2
ISSN: 1569-111X
In: International migration review: IMR, Band 33, Heft 1, S. 114-136
ISSN: 0197-9183
In: Family relations, Band 38, Heft 4, S. 436
ISSN: 1741-3729
Bathymetric data in coastal area are important for marine sciences, hydrological applications and even for transportation and military purposes. Compare to traditional sonar and recent airborne bathymetry LIDAR systems, optical satellite images can provide information to survey a large area with single or multiple satellite images efficiently and economically. And it is especially suitable for coastal area because the penetration of visible light in water merely reaches 30 meters. In this study, a three-layer back propagation neural network is proposed to estimate bathymetry. In the learning stage, some training samples with known depth are adopted to train the weights of the neural network until the stopping criterion is satisfied. The spectral information is sent to the input layer and fits the true water depth with the output. The depths of training samples are manually measured from stereo images of the submerged reefs after water refraction correction. In the testing stage, all non-land pixels are processed. The experiments show the mean square errors are less than 3 meters.
BASE
Bathymetric data in coastal area are important for marine sciences, hydrological applications and even for transportation and military purposes. Compare to traditional sonar and recent airborne bathymetry LIDAR systems, optical satellite images can provide information to survey a large area with single or multiple satellite images efficiently and economically. And it is especially suitable for coastal area because the penetration of visible light in water merely reaches 30 meters. In this study, a three-layer back propagation neural network is proposed to estimate bathymetry. In the learning stage, some training samples with known depth are adopted to train the weights of the neural network until the stopping criterion is satisfied. The spectral information is sent to the input layer and fits the true water depth with the output. The depths of training samples are manually measured from stereo images of the submerged reefs after water refraction correction. In the testing stage, all non-land pixels are processed. The experiments show the mean square errors are less than 3 meters.
BASE
In: Materials & Design, Band 43, S. 460-466
In: Water and environment journal, Band 23, Heft 3, S. 180-188
ISSN: 1747-6593
AbstractPhosphorus removal by constructed wetlands is a key strategy in diffuse pollution control. Phosphorus retention by experimental unplanted vertical‐flow constructed wetlands depends on substrate, influent quality and hydraulic residence time (HRT). The maximal phosphorus adsorption capacities of shale, gravel, ironstone and hornblende were 619.7, 89.05, 324.9 and 153.1 mg/kg, respectively, when the grain size ranged between 0.5 and 1.0 mm. Phosphorus adsorption capacities of shale, ironstone and hornblende were best explained by Langmuir adsorption isotherms. In comparison, Freundlich adsorption isotherms fitted gravel well. In separate column experiments with eutrophic Jin River water, shale showed better soluble reactive phosphorus (SRP) and total phosphorus (TP) retention performances than gravel, ironstone and hornblende. When the HRT was 2.2 days, the mean SRP removal rates were 96.7, 21.1, 33.6 and 33.0% for shale, gravel, ironstone and hornblende, respectively. Findings indicate that both SRP and TP removal rates increased when the HRT was prolonged.
In: Reproductive sciences: RS : the official journal of the Society for Reproductive Investigation, Band 20, Heft 4, S. 339-353
ISSN: 1933-7205
In: Materials & Design, Band 35, S. 655-663
The construction industry is responsible for 50% of the solid waste generated worldwide. Governments around the world formulate legislation and regulations concerning recycling and re-using building materials, aiming to reduce waste and environmental impact. Researchers have also been developing strategies and models of waste management for construction and demolition of buildings. The application of Building Information Modeling (BIM) is an example of this. BIM is emergent technology commonly used to maximize the efficiency of design, construction and maintenance throughout the entire lifecycle. The uses of BIM on deconstruction or demolition are not common; especially the fixtures and fittings of buildings are not considered in BIM models. The development of BIM is based on two-dimensional drawings or sketches, which may not be accurately converted to 3D BIM models. In addition, previous researches mainly focused on construction waste management. There are few studies about the deconstruction waste management focusing on demolition. To fill this gap, this paper aims to develop a framework using a reconstructed 3D model with BIM, for the purpose of improving BIM accuracy and thus developing a deconstruction waste management system to improve demolition efficiency, effective recycling and cost savings. In particular, the developed as-built BIM will be used to identify and measure recyclable materials, as well as to develop a plan for the recycling process.
BASE
In: Reproductive sciences: RS : the official journal of the Society for Reproductive Investigation, Band 16, Heft 2, S. 162-170
ISSN: 1933-7205