scholarly journals COASTAL ENGINEERING STUDIES FOR INSHORE MINING OF DIAMONDS AT ORANJEMUND

1986 ◽  
Vol 1 (20) ◽  
pp. 103
Author(s):  
J.P. Moller ◽  
K.C. Owen ◽  
D.H. Swart
Keyword(s):  
Mining Operation ◽  
High Energy ◽  
Aerial Photographs ◽  
Beach Sand ◽  
Data Set ◽  
Wave Measurements ◽  
Longshore Transport ◽  
Energy Environment ◽  
South West Africa ◽  
Sea Wall

This paper describes a diamond mining operation on the west coast of Africa in Namibia (South West Africa, see Figures 1a and 1b), where a sea-wall of normal beach sand has been built out to a distance of more than 300 m seawards of the original coastline. The wall which runs alongshore is maintained in the high energy environment, which is characterized by northbound longshore transport rates, by means of artificial suppletion at a rate of up to and more than 300 000 m / month. Before embarking on the project the company had to be assured of the sand on the sand-wall; to allow completion of the project free of severe damage by wave action. This implied being able to predict the erosion rate of the sea-wall by the waves. The data set used consisted of wave measurements by Waverider and wave observations obtained from voluntary observing ships; aerial photographs at monthly intervals of the waterline in the study area; and soundings of the beach, sea-wall and nearshore topography by using a helicopter as a platform. Various methods of prediction and projection were used to quantify sediment movement.

scholarly journals Quality control in scRNA-Seq can discriminate pacemaker cells: the mtRNA bias

2021 ◽  
Author(s):  
Anne-Marie Galow ◽  
Sophie Kussauer ◽  
Markus Wolfien ◽  
Ronald M. Brunner ◽  
Tom Goldammer ◽  
...  
Keyword(s):  
Quality Control ◽  
Cardiac Tissue ◽  
High Energy ◽  
Tissue Type ◽  
Pacemaker Cells ◽  
Data Set ◽  
Public Data ◽  
Standard Quality ◽  
Mitochondrial Transcripts

AbstractSingle-cell RNA-sequencing (scRNA-seq) provides high-resolution insights into complex tissues. Cardiac tissue, however, poses a major challenge due to the delicate isolation process and the large size of mature cardiomyocytes. Regardless of the experimental technique, captured cells are often impaired and some capture sites may contain multiple or no cells at all. All this refers to “low quality” potentially leading to data misinterpretation. Common standard quality control parameters involve the number of detected genes, transcripts per cell, and the fraction of transcripts from mitochondrial genes. While cutoffs for transcripts and genes per cell are usually user-defined for each experiment or individually calculated, a fixed threshold of 5% mitochondrial transcripts is standard and often set as default in scRNA-seq software. However, this parameter is highly dependent on the tissue type. In the heart, mitochondrial transcripts comprise almost 30% of total mRNA due to high energy demands. Here, we demonstrate that a 5%-threshold not only causes an unacceptable exclusion of cardiomyocytes but also introduces a bias that particularly discriminates pacemaker cells. This effect is apparent for our in vitro generated induced-sinoatrial-bodies (iSABs; highly enriched physiologically functional pacemaker cells), and also evident in a public data set of cells isolated from embryonal murine sinoatrial node tissue (Goodyer William et al. in Circ Res 125:379–397, 2019). Taken together, we recommend omitting this filtering parameter for scRNA-seq in cardiovascular applications whenever possible.

scholarly journals Benthic foraminifera in a deep-sea high-energy environment: the Moira Mounds (Porcupine Seabight, SW of Ireland)

2018 ◽  
Vol 111 (3) ◽  
pp. 561-572 ◽  
Author(s):  
Robin Fentimen ◽  
Andres Rüggeberg ◽  
Aaron Lim ◽  
Akram El Kateb ◽  
Anneleen Foubert ◽  
...  
Keyword(s):  
Benthic Foraminifera ◽  
Deep Sea ◽  
High Energy ◽  
Porcupine Seabight ◽  
Energy Environment

scholarly journals N-Linked Glycopeptide Identification Based on Open Mass Spectral Library Search

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Zhiwu An ◽  
Qingbo Shu ◽  
Hao Lv ◽  
Lian Shu ◽  
Jifeng Wang ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Human Cancer ◽  
Cancer Cell Line ◽  
Peptide Identification ◽  
High Energy ◽  
Mass Spectral Library ◽  
Spectral Library ◽  
Data Set ◽  
Library Search ◽  
Mass Spectral

Confident characterization of intact glycopeptides is a challenging task in mass spectrometry-based glycoproteomics due to microheterogeneity of glycosylation, complexity of glycans, and insufficient fragmentation of peptide bones. Open mass spectral library search is a promising computational approach to peptide identification, but its potential in the identification of glycopeptides has not been fully explored. Here we present pMatchGlyco, a new spectral library search tool for intact N-linked glycopeptide identification using high-energy collisional dissociation (HCD) tandem mass spectrometry (MS/MS) data. In pMatchGlyco, (1) MS/MS spectra of deglycopeptides are used to create spectral library, (2) MS/MS spectra of glycopeptides are matched to the spectra in library in an open (precursor tolerant) manner and the glycans are inferred, and (3) a false discovery rate is estimated for top-scored matches above a threshold. The efficiency and reliability of pMatchGlyco were demonstrated on a data set of mixture sample of six standard glycoproteins and a complex glycoprotein data set generated from human cancer cell line OVCAR3.

scholarly journals New adherent foraminiferans from the Lower Cretaceous (Aptian) of south-central England

1986 ◽  
Vol 5 (2) ◽  
pp. 1-8 ◽  
Author(s):  
Mark A. Wilson
Keyword(s):  
New Species ◽  
Lower Cretaceous ◽  
New Genus ◽  
High Energy ◽  
Junior Synonym ◽  
New Genus And Species ◽  
South Central ◽  
Energy Environment ◽  
Three New Species

Abstract. Three new species and one new genus of adherent foraminiferans have been found within bivalve borings in cobbles from the Faringdon Sponge-gravel (Upper Aptian) of south-central England. The new genus and species, Lapillincola faringdonensis is a uniserial textulariine with an initial planispiral coil and a multiple aperture. Lapillincola gen. nov. is a remarkable homeomorph of Arenonina Barnard, which was originally described as an agglutinated form. Arenonina is shown here to actually be calcareous and perforate, and thus a junior synonym of Rectocibicides Cushman & Ponton. Acruliammina parvispira sp. nov. is another uniserial textulariine with an initial coil. Bullopora ramosa sp. nov. is an adherent polymorphinid with a branching, irregular series of adherent chambers. These foraminiferans may have used the bivalve borings as spatial refuges from the abrasive, high energy environment of the Sponge-gravel.

Creation Method of Priori Neural Network Data Set for Processing Digital Aerial Photographs in Automatic Mode

2021 ◽  
Author(s):  
Serhiy Kovbasiuk ◽  
Leonid Kanevskyy ◽  
Sergiy Chernyshuk ◽  
Leonid Naumchak ◽  
Mykola Romanchuk
Keyword(s):  
Neural Network ◽  
Aerial Photographs ◽  
Network Data ◽  
Data Set ◽  
Automatic Mode

Ghost of land-use past in the context of current land cover: evidence from salamander communities in streams of Blue Ridge and Piedmont ecoregions

2014 ◽  
Vol 92 (6) ◽  
pp. 527-536 ◽  
Author(s):  
Thilina Surasinghe ◽  
Robert F. Baldwin
Keyword(s):  
Land Cover ◽  
Forest Cover ◽  
Sampling Site ◽  
Diversity Indices ◽  
Forest Recovery ◽  
Aerial Photographs ◽  
Stepwise Multiple Regression ◽  
Land Uses ◽  
Blue Ridge ◽  
Data Set

The Blue Ridge and Piedmont of the southeastern United States are rich in biodiversity and have undergone centuries of extensive deforestation and subsequent urbanization resulting in geomorphic landscape changes. To investigate the impacts of past and present land uses on stream salamander communities across both ecoregions, we surveyed streams associated with different land uses at the riparian zone and watershed. Using the USGS land-cover data set (2006) and aerial photographs (1940), we assessed the current and historical percent land cover (urban, agriculture, and forests) at local and landscape scales for each sampling site. Using percent land cover as predictors and diversity indices (species richness, Simpson’s index, and relative abundance) as response variables, we developed a stepwise multiple regression model and a redundancy analysis. Both analyses indicated the negative impacts of historical land uses, particularly row-crop agriculture, on stream salamander diversity and community structure rendering streams unsuitable for all but the most tolerant species. Legacy effects were prominent in the Piedmont where protected areas with agricultural history were species-deprived (70% decline) compared with stream habitats that had sustained a continuous forest cover through time. Our findings suggested that landscape processes resulting in historical forest cover loss may persist over 50 years during forest recovery.

scholarly journals Large-Scale Distributed Training Applied to Generative Adversarial Networks for Calorimeter Simulation

2019 ◽  
Vol 214 ◽  
pp. 06025
Author(s):  
Jean-Roch Vlimant ◽  
Felice Pantaleo ◽  
Maurizio Pierini ◽  
Vladimir Loncar ◽  
Sofia Vallecorsa ◽  
...  
Keyword(s):  
Large Scale ◽  
Message Passing Interface ◽  
Scale Up ◽  
High Energy ◽  
Neural Nets ◽  
Generative Adversarial Networks ◽  
Detector Response ◽  
Data Set ◽  
Distributed Training ◽  
Adversarial Networks

In recent years, several studies have demonstrated the benefit of using deep learning to solve typical tasks related to high energy physics data taking and analysis. In particular, generative adversarial networks are a good candidate to supplement the simulation of the detector response in a collider environment. Training of neural network models has been made tractable with the improvement of optimization methods and the advent of GP-GPU well adapted to tackle the highly-parallelizable task of training neural nets. Despite these advancements, training of large models over large data sets can take days to weeks. Even more so, finding the best model architecture and settings can take many expensive trials. To get the best out of this new technology, it is important to scale up the available network-training resources and, consequently, to provide tools for optimal large-scale distributed training. In this context, our development of a new training workflow, which scales on multi-node/multi-GPU architectures with an eye to deployment on high performance computing machines is described. We describe the integration of hyper parameter optimization with a distributed training framework using Message Passing Interface, for models defined in keras [12] or pytorch [13]. We present results on the speedup of training generative adversarial networks trained on a data set composed of the energy deposition from electron, photons, charged and neutral hadrons in a fine grained digital calorimeter.

scholarly journals 16 years of topographic surveys of rip-channelled high-energy meso-macrotidal sandy beach

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Bruno Castelle ◽  
Stéphane Bujan ◽  
Vincent Marieu ◽  
Sophie Ferreira
Keyword(s):  
High Energy ◽  
Sandy Beaches ◽  
Data Set ◽  
Astronomical Tide ◽  
Storm Waves ◽  
Digital Elevation ◽  
Recreational Services ◽  
Offshore Wave ◽  
The Impact ◽  
Topographic Surveys

AbstractSandy beaches are highly dynamic environments buffering shores from storm waves and providing outstanding recreational services. Long-term beach monitoring programs are critical to test and improve shoreline, beach morphodynamics and storm impact models. However, these programs are relatively rare and mostly restricted to microtidal alongshore-uniform beaches. The present 16-year dataset contains 326 digital elevation models and their over 1.635 × 106 individual sand level measurements at the high-energy meso-macrotidal rip-channelled Truc Vert beach, southwest France. Monthly to bimonthly topographic surveys, which coverage progressively extended from 300 m to over 2000 m to describe the alongshore-variable changes, are completed by daily topographic surveys acquired during a 5-week field campaign. The dataset captures daily beach response at the scale of a storm to three large cycles of interannual variability, through the impact of the most energetic winter since at least 75 years and prominent seasonal erosion/recovery cycles. The data set is supplemented with high-frequency time series of offshore wave and astronomical tide data to facilitate its future use in beach research.

Crystallization and preliminary diffraction analysis of the HincII restriction endonuclease–DNA complex

1999 ◽  
Vol 55 (11) ◽  
pp. 1943-1945 ◽  
Author(s):  
Nancy C. Horton ◽  
Lydia F. Dorner ◽  
Ira Schildkraut ◽  
John J. Perona
Keyword(s):  
High Energy ◽  
Asymmetric Unit ◽  
Hanging Drop ◽  
Data Set ◽  
Synchrotron Source ◽  
Polyethylene Glycol 4000 ◽  
Dimeric Complexes ◽  
Cell Dimensions ◽  
Unit Cell Dimensions ◽  
Dna Complex

Crystals of the 60 kDa dimeric HincII restriction enzyme bound to a 12 base-pair dyad-symmetric duplex DNA carrying the specific 5′-GTCGAC recognition site have been obtained. Crystals grew by hanging-drop vapor diffusion from solutions containing polyethylene glycol 4000 as precipitating agent. The rod-shaped crystals belong to space group I222 (or I212121), with unit-cell dimensions a = 66.9, b = 176.7, c = 256.0 Å. There are most likely to be two dimeric complexes in the asymmetric unit. A complete native data set has been collected from a high-energy synchrotron source to a resolution of 2.5 Å at 100 K, with an R merge of 4.8%.

Chathamirhynchia kahuitara, a new genus and species of Late Cretaceous rhynchonellide brachiopod from the Chatham Islands, New Zealand: shell structure, palaeoecology and biogeography

2007 ◽  
Vol 98 (3-4) ◽  
pp. 357-367 ◽  
Author(s):  
Daphne E. Lee ◽  
Neda Motchurova-Dekova
Keyword(s):  
New Zealand ◽  
Shallow Water ◽  
Volcanic Rock ◽  
Late Cretaceous ◽  
Shell Structure ◽  
New Genus ◽  
High Energy ◽  
New Genus And Species ◽  
Cardinal Process ◽  
Energy Environment

ABSTRACTA new rhynchonellide brachiopod has been collected from the Kahuitara Tuff (Campanian–Maastrichtian) of Pitt Island, Chatham Islands, New Zealand. Brachiopods are extremely rare in Cretaceous rocks from New Zealand, and this new genus and species is unlike any other rhynchonellide known from Australasia or elsewhere. Chathamirhynchia kahuitara is distinguished by its small size, strong ribbing, and well-developed sulciplicate folding, and internally by a large, robust cardinal process and raduliform crura. The shell structure of C. kahuitara is shown to be of typical fine fibrous ‘rhynchonellidine’ type. This brachiopod was probably strongly attached to volcanic rock or shells in a shallow-water, high-energy environment. Implications for the biogeography of brachiopods during the Late Cretaceous are briefly discussed.

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