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Search Results - structural variables
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Climate change impacts and farmers' responses in Chilanga District, Zambia
Published 2018“…Climate change and variability are predicted to threaten agricultural production in Southern Africa. …”
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Short-term dynamics of nano- and picoplankton in the southern Benguela upwelling system
Published 2022“…A strong depth-differentiation in community structure and potential metabolism was found over the five-day period, with little variability observed from day to day. …”
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A genetic perspective on leopard (Panthera pardus) conservation units across southern Africa
Published 2022“…While the data presented here specifically consider a genetic element of conservation units, they do suggest shortcomings in adopting either the entirety of southern Africa as a single unit or separate geopolitical range states as conservation units. The variability in leopard conservation policy across southern Africa is unlikely to sufficiently protect their existing regional genetic structure. …”
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Evaluation of clustering techniques for generating household energy consumption patterns in a developing country
Published 2020“…Different algorithms, normalisation and pre-binning techniques are evaluated to determine the best clustering structure. The study shows that normalisation is essential for producing good clusters. …”
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Dynamics and utilization of surf zone habitats by fish in the South-Western Cape, South Africa
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Identification and characterisation of submesoscale activity over the continental shelf in the Bay of Biscay
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Retention processes in the Southern Benguela upwelling system
Published 2025“…Furthermore, the role of variable, near-coastal, summer alongshore winds on retention is also studied. …”
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Estimates of Phytoplankton carbon from high resolution optical sensors in the Southern Ocean
Published 2015“…Although M13 has a very low chl-a:Cphyto ratios, the range of variability was similar to that of the 30%POC and B05 methods and likely driven by variability in light and Fe limitation and changes in community structure. …”
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Southern African climate anomalies, summer rainfall and the Angola low
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Fabrication of Josephson junctions using AFM nanolithography
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Towards a framework for multi class statistical modelling of shape, intensity, and kinematics in medical images
Published 2021“…Statistical shape, appearance (intensity profile in images) and pose models are popular priors to explain variability across a sample population of rigid structures. …”
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Towards a framework for multi class statistical modelling of shape, intensity and kinematics in medical images
Published 2022“…Statistical shape, appearance (intensity profile in images) and pose models are popular priors to explain variability across a sample population of rigid structures. …”
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Piloting a scale of social integration in South African organisations
Published 2020“…On the calibration sample, exploratory factor analysis (EFA) was conducted in order to examine emerging first- and higher-order latent variable structures. EFA led to the development of a first-order, seven-factor model. …”
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Comparative analysis of the seasonal sea surface temperature & wind stress in the four major eastern boundary current systems
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Semi-parametric mixtures of partially linear models
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Modelling uncertainty of cost and time in infrastructure projects
Published 2020“…The developed hybrid tool models the main structures from the activity level to the entire highway project. …”
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Some factors affecting the feeding ecology and socio-biology of the samango monkey, cercopithecus albogularis schwarzi roberts, 1931
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Three dimensional quantitative textural analysis of nickel sulphide ore using X-ray computed tomography and grey level co-occurrence matrices on drill core
Published 2016“…Ore texture - the interrelationship of minerals comprising a rock, has been identified as one of the primary geometallurgical indicators of ore variability. It is well known that a relationship exists between ore texture and the resultant metallurgical performance (ore hardness, throughput, liberation, grade, recovery). …”
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