Mark Jessell from the Centre for Exploration Targeting at the University of Western Australia presents his latest work on using geological relationships to improve our 3D modelling and mineral systems analyses.
Developing better integration of geological constraints into 3D regional modelling
Identify ways to carry geological meaning through the geophysical inversion process
John McGaughey, CEO/President of Mira Geoscience offers his thoughts and the practices of integrated geophysical interpretation at the 3D Interest Group
Jeremie Giraud's PhD research being conducted at the Centre for Exploration Targeting, University of Western Australia is investigating the use of probabilistic geological models and statistical distributions of petrophysics to constrain joint potential field inversion.
Exploring DEM error with geographically weighted regressionGeoCommunity
Michal Gallay, Christopher D. Lloyd, Jennifer McKinley: Exploring DEM error with geographically weighted regression (poster), 9th International Symposium GIS Ostrava, VŠB – Technical Univerzity of Ostrava, from 23rd to 25th January 2012
Developing better integration of geological constraints into 3D regional modelling
Identify ways to carry geological meaning through the geophysical inversion process
John McGaughey, CEO/President of Mira Geoscience offers his thoughts and the practices of integrated geophysical interpretation at the 3D Interest Group
Jeremie Giraud's PhD research being conducted at the Centre for Exploration Targeting, University of Western Australia is investigating the use of probabilistic geological models and statistical distributions of petrophysics to constrain joint potential field inversion.
Exploring DEM error with geographically weighted regressionGeoCommunity
Michal Gallay, Christopher D. Lloyd, Jennifer McKinley: Exploring DEM error with geographically weighted regression (poster), 9th International Symposium GIS Ostrava, VŠB – Technical Univerzity of Ostrava, from 23rd to 25th January 2012
Modeling and inversion related activities at Geoscience Australia - September...Richard Lane
Presented at the ASEG (WA Branch) "Geophysical inversion for mineral explorers" on 20140902.
At Geoscience Australia, we service many applications, and modeling and inversion of geophysical data is in widespread use throughout these.
We principally deal with the following data types:
Gravity, Magnetics, AEM, MT, and Seismic.
Layout Optimization of Microsatellite Components Using Genetic AlgorithmTELKOMNIKA JOURNAL
Placing the components into a container that is normally known as layout optimization problem belongs to NP-hard problems in terms of computational complexity. This study took the layout of microsatellite components as a case study to propose a basic solution strategy for the optimal layout design of a microsatellite. In this case, the layout should meet the requirements of the mission payload, the launcher and the spacecraft attitude control. It utilized the novel scheme to find the various possibilities of optimal layout using genetic algorithm combined with order-based positioning technique. Each component had a given index and then placed in a container based on specific order in accordance with a bottom-left algorithm that was already established. Meanwhile, the placement order was explored by the genetic algorithm to obtain a sequence that brought the best solution. The approach had been validated and proven to produce the optimal layout.
DataScience Lab, 13 мая 2017
Коррекция геометрических искажений оптических спутниковых снимков
Алексей Кравченко (Senior Data Scientist at Zoral Labs)
Мы рассмотрим разнообразие существующих спутниковых данных и способов их применения в сельском и лесном хозяйстве, картографировании земной поверхности. Далее сфокусируемся на задаче геометрической коррекции снимков как первом шаге процесса обработки спутниковых данных, включая геопривязку снимков, регистрацию изображений, субпиксельную идентификацию контрольных точек, совмещение каналов. Также расскажем о некоторых интересных и неожиданных подходах к определению ориентации и jitter спутников и построению маски облачности.
Все материалы: http://datascience.in.ua/report2017
Patterns of migration and employment in MalawiIFPRIMaSSP
This study was presented by Dr. Anderson Gondwe (Research Analyst, IFPRI Lilongwe) on March 29, 2017 as part of the MaSSP Brownbag Seminar Series at IFPRI Lilongwe.
Using a panel of small geographical areas created from national censuses, the study applies spatial panel data econometric techniques to examine spatial and temporal patterns of employment and migration in Malawi. The analysis is segregated by gender to explore long term occupational mobility for women who are traditionally stuck in low paying self-employment activities. The results show that spatial dependencies exist between areas with respect to our outcome variables; spatially close areas are more similar than distant ones.
To learn more about this study and our work, please visit the MaSSP website at: http://massp.ifpri.info/
Integration of Aeromagntic Data and Landsat Imagery for structural Analysis f...iosrjce
In this study, different digital format data sources including aeromagnetic and remotely sensed
(Landsat 8 and ASTER) images were used for structural and tectonic interpretation of the Mahabubnager
and Gulbarga districts of Telangana and Karnataka states in the Eastern Dharwarcraton. From analysis of
Landsat and ASTER images, the surface morphology and major lineaments trending in the NW–SE, E-W and
NE-SW were identified. Qualitative analysis of IGRF corrected aeromagnetic data were carried out using the
analytical signal, reduction to pole, horizontal & vertical gradient maps, several lineaments trending in three
major directions NE-SW, NW-SE and E-W were delineated. The structural features inferred from image
analysis were corroborated, the zones of intersection of these structural trends which could have acted as
potential sites for kimberlites emplacement were accordingly delineated at 21 locations. Subsequently,
quantitative analysis of magnetic inversion at 21 profiles are carried out utilizing GM-SYS and Geosoft
software, brought out the subsurface configuration of kimberlites. The inferred magnetic models are exhibiting
V-shaped / Oval type structure. Depth of the inferred structures has been revealed by the Euler deconvolution
methods suggest depth varies from 536 to 1640 mts
PICO presentation at EGU 2014 about the use of measures from information theory to visualise uncertainty in kinematic structural models - and to estimate where additional data would help reduce uncertainties. Some nice counter-intuitive results ;-)
Modeling and inversion related activities at Geoscience Australia - September...Richard Lane
Presented at the ASEG (WA Branch) "Geophysical inversion for mineral explorers" on 20140902.
At Geoscience Australia, we service many applications, and modeling and inversion of geophysical data is in widespread use throughout these.
We principally deal with the following data types:
Gravity, Magnetics, AEM, MT, and Seismic.
Layout Optimization of Microsatellite Components Using Genetic AlgorithmTELKOMNIKA JOURNAL
Placing the components into a container that is normally known as layout optimization problem belongs to NP-hard problems in terms of computational complexity. This study took the layout of microsatellite components as a case study to propose a basic solution strategy for the optimal layout design of a microsatellite. In this case, the layout should meet the requirements of the mission payload, the launcher and the spacecraft attitude control. It utilized the novel scheme to find the various possibilities of optimal layout using genetic algorithm combined with order-based positioning technique. Each component had a given index and then placed in a container based on specific order in accordance with a bottom-left algorithm that was already established. Meanwhile, the placement order was explored by the genetic algorithm to obtain a sequence that brought the best solution. The approach had been validated and proven to produce the optimal layout.
DataScience Lab, 13 мая 2017
Коррекция геометрических искажений оптических спутниковых снимков
Алексей Кравченко (Senior Data Scientist at Zoral Labs)
Мы рассмотрим разнообразие существующих спутниковых данных и способов их применения в сельском и лесном хозяйстве, картографировании земной поверхности. Далее сфокусируемся на задаче геометрической коррекции снимков как первом шаге процесса обработки спутниковых данных, включая геопривязку снимков, регистрацию изображений, субпиксельную идентификацию контрольных точек, совмещение каналов. Также расскажем о некоторых интересных и неожиданных подходах к определению ориентации и jitter спутников и построению маски облачности.
Все материалы: http://datascience.in.ua/report2017
Patterns of migration and employment in MalawiIFPRIMaSSP
This study was presented by Dr. Anderson Gondwe (Research Analyst, IFPRI Lilongwe) on March 29, 2017 as part of the MaSSP Brownbag Seminar Series at IFPRI Lilongwe.
Using a panel of small geographical areas created from national censuses, the study applies spatial panel data econometric techniques to examine spatial and temporal patterns of employment and migration in Malawi. The analysis is segregated by gender to explore long term occupational mobility for women who are traditionally stuck in low paying self-employment activities. The results show that spatial dependencies exist between areas with respect to our outcome variables; spatially close areas are more similar than distant ones.
To learn more about this study and our work, please visit the MaSSP website at: http://massp.ifpri.info/
Integration of Aeromagntic Data and Landsat Imagery for structural Analysis f...iosrjce
In this study, different digital format data sources including aeromagnetic and remotely sensed
(Landsat 8 and ASTER) images were used for structural and tectonic interpretation of the Mahabubnager
and Gulbarga districts of Telangana and Karnataka states in the Eastern Dharwarcraton. From analysis of
Landsat and ASTER images, the surface morphology and major lineaments trending in the NW–SE, E-W and
NE-SW were identified. Qualitative analysis of IGRF corrected aeromagnetic data were carried out using the
analytical signal, reduction to pole, horizontal & vertical gradient maps, several lineaments trending in three
major directions NE-SW, NW-SE and E-W were delineated. The structural features inferred from image
analysis were corroborated, the zones of intersection of these structural trends which could have acted as
potential sites for kimberlites emplacement were accordingly delineated at 21 locations. Subsequently,
quantitative analysis of magnetic inversion at 21 profiles are carried out utilizing GM-SYS and Geosoft
software, brought out the subsurface configuration of kimberlites. The inferred magnetic models are exhibiting
V-shaped / Oval type structure. Depth of the inferred structures has been revealed by the Euler deconvolution
methods suggest depth varies from 536 to 1640 mts
PICO presentation at EGU 2014 about the use of measures from information theory to visualise uncertainty in kinematic structural models - and to estimate where additional data would help reduce uncertainties. Some nice counter-intuitive results ;-)
Prototype at - http://www.see.leeds.ac.uk/virtual_worlds/demo/
Learning outcomes
To become confident in plotting and interpreting data on a geological map.
To understand the decision making skills involved in constructing a geological map in the field in the most time efficient manner.
To practice constructing three-dimensional geological relations, including drawing cross sections.
Assignment#3 MMIS 653 (Winter 2013) Total points 60 .docxssuser562afc1
Assignment#3
MMIS 653 (Winter 2013)
Total points: 60
Due date: 3/19/2013 11:59PM
1, What is the difference between routing and forwarding? (4 points)
2, What is HOL blocking? Does it occur in input ports or output ports? (4 points)
3, Do routers have IP addresses? If so, how many? How many IP addresses does a
computer have? (4 points)
4, Is it necessary that every autonomous system use the same Intra-AS routing algorithm?
Why or why not? (4 points)
5, Consider the following network topology:
Assume the original routing table in D is as below.
Now suppose that D receives from A the following advertisement:
Will the table in D change? If so how? (5 points)
6, Define and contrast the following terms: subnet, prefix, and BGP route? (4 points)
7, Consider a virtual-circuit network. Suppose the VC number is a 4-bit field. (4 points)
a, What is the maximum number of virtual circuits that can be carried over a link?
b, Suppose that different VC numbers are permitted in each link along a VC’s path.
During connection setup, after an end-to-end path is determined, describe how the links
can choose their VC numbers and configure their forwarding tables in a decentralized
manner, without reliance on a central node.
8, Consider a datagram network using 16-bit host addresses. Suppose a router uses
longest prefix matching and has the following forwarding table:
-----------------------------------------------
Prefix Match Interface
-----------------------------------------------
1 0
11 1
111 2
Otherwise 3
-----------------------------------------------
For each of the four interfaces, give the associated range of destination host addresses
and the number of addresses in the range. (8 points)
9, Consider sending a 4000-byte datagram into a link that has an MTU of 500 bytes.
Suppose the original datagram is stamped with the identification number 526. How many
fragments are generated? What are their characteristics? (Assume IPv4 is used so the IP
header is 20 bytes in length) (8 points)
10, Consider the following network. With the indicated link costs, use Dijkstra’s shortest-
path algorithm to compute the shortest path from z to all network nodes. Show how the
algorithm works by computing a table similar to Table 4.3 on page 379. (15 points)
Chapter 20 Mountain Belts understanding how mountains are created
Mountain belts
are several linear ranges
of mountains. These are
typically on the edges of
the plates, but can be
found in the center of
plate boundaries. The
interior mountain ranges
are remnants of ancient
continent to continent
convergent plate
boundaries (exception
Rocky Mountains).
Mountain belts, even in the center of continents, are associated with earthquakes and the belts on
edges of continents are also associated with volcanoes
Mountain built creation is a com ...
The Final Seminar of the Project for Assessment of Earthquake Disaster Risk for the Kathmandu Valley in Nepal was held on 14 February 2018.
The public seminar was held three times during the project.
The Final Seminar, “ Understanding Disaster Risks and Moving Towards DRR and Resilience”, presented on the activities and accomplishment of the project, construction of robust and resilient society against natural disaster risk.
Thank you all for your support and enthusiastic participation in this seminar.
Presentation: Overview of Hazard Assessment Results
Landforms Associated With the Aspect-Controlled Exhumation of Crater-Filling ...Sérgio Sacani
Fluvial channel belts, the deposits accumulated in rivers surrounded by floodplain deposits, are sensitive environmental recorders. Across Mars, wind has exposed ancient channel belts via the preferential erosion of floodplain strata, creating landforms called fluvial ridges. However, river deposits observed by the Mars rover Curiosity are instead exposed along a series of steep slopes and shallow benches, and short, truncated ridges we call noses. Here, we tested the hypothesis that these exposures record channel-belt exhumation with a preferential direction of scarp retreat (a slope-aspect control), in contrast with models of fluvial-ridge formation. Using a landscape evolution model sensitive to lithology and an Earth-analog 3D-seismic-reflectance volume imaging fluvial stratigraphy, we generated synthetic erosional landscapes where channel-belt exhumation created benches and noses rather than fluvial ridges, depending on the orientation of belts relative to the preferential direction of scarp retreat, which we suggest is set by winds steered along crater topography.
Robust 3D Geological Models: Hard Data is KeyFF Explore 3D
Understanding and incorporating 2D data, whether from surface field work or underground mine mapping, should always be the starting point of an integrated and coherent 3D geologic model, especially for areas with great geometric contrasts. Without this valuable data, 3D modelling is essentially performed with blinders on, and its absence results in a model that is too theory-driven, and lacks input from geologists and “real” field data.
Three-dimensional geologic models require complete, homogeneous and valid databases. The resulting 3D models are directly based on and rely on high-quality data. The data comprises both surface and underground observations. “Raw” or “hard” data should always be assigned more weight and act as rigid control points in 3D models. Hard data should always be distinguishable from interpreted data in 3D models. Investing the necessary time to learn how to homogenize and structure raw data in a rigorous way will be paid back during the 3D interpretation process.
Once 3D models are completed, they should be used as an exploration tool, populating their cells with user-chosen properties. Both quantitative and qualitative properties can be interpolated throughout the cells of the 3D model for further querying and questioning. Thus, the extra benefit of 3D map models is their use as dynamic interactive tools to help define new mineral exploration targets at depth.
A 3D map model is not a goal but a tool that should be dynamic, modified, questioned, shared and updated. Its future usefulness is determined by how well it can be utilized by a multi-disciplinary team of geologists, geophysicists, geochemists, engineers, metallurgists and environmental experts.
Self-consistent 3D Radiative Transfer for Kilonovae: Directional Spectra from...Sérgio Sacani
We present 3D radiative transfer calculations for the ejecta from a neutron star merger that include line-by-line
opacities for tens of millions of bound–bound transitions, composition from an r-process nuclear network, and
time-dependent thermalization of decay products from individual α and β− decay reactions. In contrast to
expansion opacities and other wavelength-binned treatments, a line-by-line treatment enables us to include
fluorescence effects and associate spectral features with the emitting and absorbing lines of individual elements.
We find variations in the synthetic observables with both the polar and azimuthal viewing angles. The spectra
exhibit blended features with strong interactions by Ce III, Sr II, Y II, and Zr II that vary with time and viewing
direction. We demonstrate the importance of wavelength calibration of atomic data using a model with calibrated
Sr, Y, and Zr data, and find major differences in the resulting spectra, including a better agreement with
AT2017gfo. The synthetic spectra for a near-polar inclination show a feature at around 8000 Å, similar to
AT2017gfo. However, they evolve on a more rapid timescale, likely due to the low ejecta mass (0.005 M☉) as we
take into account only the early ejecta. The comparatively featureless spectra for equatorial observers gives a
tentative prediction that future observations of edge-on kilonovae will appear substantially different from
AT2017gfo. We also show that 1D models obtained by spherically averaging the 3D ejecta lead to dramatically
different direction-integrated luminosities and spectra compared to full 3D calculations.
PetroTeach Free Webinar by Dr. Andrew Ross on Seismic Reservoir CharacterizationPetro Teach
A reliable reservoir model is an invaluable tool for risk reduction. I will give an overview of seismic reservoir characterization and the quantitative interpretation workflow including the use of pre and post stack seismic attributes and inversion outputs for mapping reservoir properties and integration of the attribute output with petrophysical data to create quantitative reservoir models.
PetroTeach Free Webinar on Seismic Reservoir CharacterizationPetroTeach1
A reliable reservoir model is an invaluable tool for risk reduction. Dr. Andrew Ross gave an overview of seismic reservoir characterization and the quantitative interpretation workflow including the use of pre and post-stack seismic attributes and inversion outputs for mapping reservoir properties and integration of the attribute output with petrophysical data to create quantitative reservoir models.
Extradosed Bridges – Assessment of seismic damage using Ground Acceleration a...irjes
Forced vibration of structure for given Earthquake time history is governed by peak acceleration. For
cable stayed structures such as Extradosed cable stayed bridge it is difficult to predict dynamic response using
usual methods of dynamic analysis as applied to some other bridge structures like response spectrum analysis,
accurate analysis like time history analysis is time consuming and has time and cost effects. Nonlinearities can
only be considered in time history analysis. The proposed method correlates the peak ground acceleration
(PGA) and earthquake deformation ratio (EDR) which can be used for simplified dynamic analysis and can
prove handy tool for structural engineers to know earthquake related serviceability without much complicated
analysis at initial stages. This ratio can be used to present seismic damage indices. The method is proposed
considers Extradosed bridge for example.
3D GEO 3D Victoria Project Department of Primary Industry3D GEO Australia
A framework sequence stratigraphic study of the onshore and offshore eastern Otway basin has been conducted as part of the 3D Victoria Initiative, in an attempt to resolve the complex stratigraphy and contradictions and confusions present in the published literature. The results are promising at the present pilot scale, but the full details of the chronostratigraphy have not yet been finalised.
A number of seismic and well database issues have been addressed and partially resolved, but further database clean-up and improvements in general usability are required.
A series of seismic and well facies maps have been produced for the major depositional sequences and a number of interesting sub-sequences identified for further work. These maps provide a useful basis for regional-scale exploration and for the beginnings of prospectivity and play fairway analysis.
In the deepwater, gravity sliding is prominent as post-breakup differential subsidence tilted the margin. Some changes of structural style are also seen in the deepwater but these cannot be resolved at the present scale of study.
The results are presented in terms of petroleum systems and the implications for non-petroleum minerals and resources such as geothermal energy.
Further work is recommended in several areas:-
1) Definitively resolving the lithostratigraphic nomenclature and sequence stratigraphy from the eastern Otway to the Torquay embayment
2) Continuing this work with a further study at finer spatial and temporal scale
3) Additional database consolidation
4) Ties to other nearby basins along the Australian margin
5) Potential deepwater studies
6) Communication and distribution of the results of this present study
7) Consolidation of prior learnings from key individuals
X-RAY MEASUREMENTS OF THE PARTICLE ACCELERATION PROPERTIES AT INWARD SHOCKS I...Sérgio Sacani
We present new evidence that the bright non-thermal X-ray emission features in the interior of the Cassiopeia A
supernova remnant (SNR) are caused by inward moving shocks based on Chandra and NuSTAR observations. Several
bright inward-moving filaments were identified using monitoring data taken by Chandra in 2000–2014. These inwardmoving shock locations are nearly coincident with hard X-ray (15–40 keV) hot spots seen by NuSTAR. From proper
motion measurements, the transverse velocities were estimated to be in the range ∼2,100–3,800 km s−1
for a distance of
3.4 kpc. The shock velocities in the frame of the expanding ejecta reach values of ∼5,100–8,700 km s−1
, slightly higher
than the typical speed of the forward shock. Additionally, we find flux variations (both increasing and decreasing) on
timescales of a few years in some of the inward-moving shock filaments. The rapid variability timescales are consistent
with an amplified magnetic field of B ∼ 0.5–1 mG. The high speed and low photon cut-off energy of the inward-moving
shocks are shown to imply a particle diffusion coefficient that departs from the Bohm regime (k0 = D0/D0,Bohm ∼ 3–8)
for the few simple physical configurations we consider in this study. The maximum electron energy at these shocks is
estimated to be ∼8–11 TeV, smaller than the values of ∼15–34 TeV inferred for the forward shock. Cassiopeia A is
dynamically too young for its reverse shock to appear to be moving inward in the observer frame. We propose instead
that the inward-moving shocks are a consequence of the forward shock encountering a density jump of & 5–8 in the
surrounding material.
LHS 475 b: A Venus-sized Planet Orbiting a Nearby M DwarfSérgio Sacani
Based on photometric observations by TESS, we present the discovery of a Venussized planet transiting LHS 475, an M3 dwarf located 12.5 pc from the Sun. The mass
of the star is 0.274 ± 0.015 M. The planet, originally reported as TOI 910.01, has an
orbital period of 2.0291025 ± 0.0000020 days and an estimated radius of 0.955 ± 0.053
R⊕. We confirm the validity and source of the transit signal with MEarth ground-based
follow-up photometry of five individual transits. We present radial velocity data from
CHIRON that rule out massive companions. In accordance with the observed massradius distribution of exoplanets as well as planet formation theory, we expect this
Venus-sized companion to be terrestrial, with an estimated RV semi-amplitude close to
1.0 m/s. LHS 475 b is likely too hot to be habitable but is a suitable candidate for
emission and transmission spectroscopy.
Similar to Mark Jessell - The topology of geology (20)
Lutz Gross of the University of Queensland describes running geophysical inversion using e-script, an open source package based on PDEs and python. Other examples of what e-script can do are also shown, such as diffusion calculations, mantle convection, flow in porous media, seismo-electrics and much more!
This talk describes the process of generating a 3D model of the Kevitsa (Finland) ore body through wavelet transform of geochemistry obtained from drill core. Tesselation is then used to determine an appropriate scale of study for the data and 3D modelling. Subtle signals are identified, while the effects of analytical noise are dampened through this process. A genetic model for ore body formation was also formulated due to the success of the data filtering process.
Drawing on hands-on experience and theoretical contributions Serge will encourage attendees to consider innovative approaches to problems across the mining logic chain, with examples including:
• Porphyry unit modelling - Simulations
• Integrating grade control and resource drilling data – Co-kriging
• Modelling geotechnical characteristics - Directional Concentration
• Predicting metallurgical recovery & sampling – non additivity
Prof. David Lumley from the Centre of Energy Geoscience at the Uni. Of Western Australia presents his work on “Nonlinear Uncertainty Analysis: 4D Seismic reservoir monitoring”.
Francky Fouedjio (CSIRO) presents the 'GeoLena' synthetic modelling platform for benchmarking geodata analytical techniques and for testing geostatistical and geodata analytical techniques.
This presentation was presented by Florian Wellmann, Mark Lindsay and Mark Jessell and the recent EGU 2015 conference.
____
Geological models are widely used to represent the structural setting of the subsurface. Commonly, a single model is generated for a region, representing the best interpretation of the structural setting in the light of all available information. It is, however, widely accepted that a such created model still contains uncertainties. We hypothesise here that it is possible to transform a single kinematic model into a powerful predictive tool for scenario analysis and uncertainty quantification.
We extend the functionality of a kinematic structural and geophysical modelling approach, implemented in the software Noddy, with a set newly developed Python modules to expose, generalise and automate essential
parts of the modelling workflow. We show how these methods enable us to quickly generate and analyse different geological scenarios.
In addition to the geological model, Noddy also enables the direct calculation of geophysical fields of gravity and magnetics. We can use this functionality to compare the model to measured potential fields. With an example for a fold and thrust belt model, we show how to quickly estimate how changes in the model (due to parameter uncertainties, for example) affect the calculated gravity field in the model range.
Finally, we present the possibility to efficiently generate an ensemble of model realisations for predictive geomodel analysis with an application to a case study in the Gippsland Basin, Victoria. The results show that our
approach can successfully extend the functionality of traditional modelling methods with an additional layer of
predictive power towards an efficient evaluation of uncertainties in structural geological models.
Addresses the burning questions in 3D modelling:
What is a good model?
What is its usability (beyond pretty pictures)?
How reproducible and extensible is it?
How can we separate data and interpretation?
How do we consider model uncertainty?
Features a Bayesian model space exploration of a synthetic case study
More from The University of Western Australia (13)
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
ANAMOLOUS SECONDARY GROWTH IN DICOT ROOTS.pptxRASHMI M G
Abnormal or anomalous secondary growth in plants. It defines secondary growth as an increase in plant girth due to vascular cambium or cork cambium. Anomalous secondary growth does not follow the normal pattern of a single vascular cambium producing xylem internally and phloem externally.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
Toxic effects of heavy metals : Lead and Arsenicsanjana502982
Heavy metals are naturally occuring metallic chemical elements that have relatively high density, and are toxic at even low concentrations. All toxic metals are termed as heavy metals irrespective of their atomic mass and density, eg. arsenic, lead, mercury, cadmium, thallium, chromium, etc.
Phenomics assisted breeding in crop improvementIshaGoswami9
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
Salas, V. (2024) "John of St. Thomas (Poinsot) on the Science of Sacred Theol...Studia Poinsotiana
I Introduction
II Subalternation and Theology
III Theology and Dogmatic Declarations
IV The Mixed Principles of Theology
V Virtual Revelation: The Unity of Theology
VI Theology as a Natural Science
VII Theology’s Certitude
VIII Conclusion
Notes
Bibliography
All the contents are fully attributable to the author, Doctor Victor Salas. Should you wish to get this text republished, get in touch with the author or the editorial committee of the Studia Poinsotiana. Insofar as possible, we will be happy to broker your contact.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptxMAGOTI ERNEST
Although Artemia has been known to man for centuries, its use as a food for the culture of larval organisms apparently began only in the 1930s, when several investigators found that it made an excellent food for newly hatched fish larvae (Litvinenko et al., 2023). As aquaculture developed in the 1960s and ‘70s, the use of Artemia also became more widespread, due both to its convenience and to its nutritional value for larval organisms (Arenas-Pardo et al., 2024). The fact that Artemia dormant cysts can be stored for long periods in cans, and then used as an off-the-shelf food requiring only 24 h of incubation makes them the most convenient, least labor-intensive, live food available for aquaculture (Sorgeloos & Roubach, 2021). The nutritional value of Artemia, especially for marine organisms, is not constant, but varies both geographically and temporally. During the last decade, however, both the causes of Artemia nutritional variability and methods to improve poorquality Artemia have been identified (Loufi et al., 2024).
Brine shrimp (Artemia spp.) are used in marine aquaculture worldwide. Annually, more than 2,000 metric tons of dry cysts are used for cultivation of fish, crustacean, and shellfish larva. Brine shrimp are important to aquaculture because newly hatched brine shrimp nauplii (larvae) provide a food source for many fish fry (Mozanzadeh et al., 2021). Culture and harvesting of brine shrimp eggs represents another aspect of the aquaculture industry. Nauplii and metanauplii of Artemia, commonly known as brine shrimp, play a crucial role in aquaculture due to their nutritional value and suitability as live feed for many aquatic species, particularly in larval stages (Sorgeloos & Roubach, 2021).
DERIVATION OF MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMINAL V...Wasswaderrick3
In this book, we use conservation of energy techniques on a fluid element to derive the Modified Bernoulli equation of flow with viscous or friction effects. We derive the general equation of flow/ velocity and then from this we derive the Pouiselle flow equation, the transition flow equation and the turbulent flow equation. In the situations where there are no viscous effects , the equation reduces to the Bernoulli equation. From experimental results, we are able to include other terms in the Bernoulli equation. We also look at cases where pressure gradients exist. We use the Modified Bernoulli equation to derive equations of flow rate for pipes of different cross sectional areas connected together. We also extend our techniques of energy conservation to a sphere falling in a viscous medium under the effect of gravity. We demonstrate Stokes equation of terminal velocity and turbulent flow equation. We look at a way of calculating the time taken for a body to fall in a viscous medium. We also look at the general equation of terminal velocity.
DERIVATION OF MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMINAL V...
Mark Jessell - The topology of geology
1. The Topology of Geology, a work in progress…
Mark Jessell, Sam Thiele, Vitaliy Orgarko, Mark Lindsay, Evren Pakyuz-Charrier, Florian Wellmann
• What do I mean by topology… and what I don’t.
• 2D
• 2D->3D
• 3D
2. Energy Sink
Energy Source
Potential
Energy
Gradient Self-Organized
System
Entropy
(exported to
environment as
diffuse heat)
Energy Flux –
fed into system at a slow rate
Energy Flux –
Released in transient “Avalanches”
Threshold Barrier
A B
Framing of new paradigms
5. Giant ore deposits are zones of focused mass and energy flux
So as geologists (and explorers) we need to understand spatial and
temporal relationships:
• Fluid pathways & barriers
• Thermal, structural, chemical overprinting relationships
• Neighbourhood relationships
… we know this, and these concepts are already partially captured in
prospectivity mapping as proximity buffers etc.
6. Chudasama et al., 2016, OGR
Geology Structures Prospectivity
How do we combine these ideas today?
16. UNITNAME GROUP MAX_AGE_MA MIN_AGE_MA
Ashburton Formation Wyloo Group 1806 1799
Duck Creek Dolomite Wyloo Group 2010 1799
Mount McGrath Formation Wyloo Group 2010 1799
Beasley River Quartzite Shingle Creek Group 2208 2208
Cheela Springs Basalt Shingle Creek Group 2208 2208
Boolgeeda Iron Formation Hamersley Group 2445 2208
Kazput Formation Turee Creek Group 2445 2208
Koolbye Formation Turee Creek Group 2445 2208
Kungarra Formation Turee Creek Group 2445 2208
Turee Creek Group Turee Creek Group 2449 2208
Woongarra Rhyolite Hamersley Group 2449 2445
Weeli Wolli Formation Hamersley Group 2451 2450
Brockman Iron Formation Hamersley Group 2494 2451
Mount McRae Shale and Mount Sylvia Formation Hamersley Group 2541 2501
Wittenoom Formation Hamersley Group 2597 2504
Marra Mamba Iron Formation Hamersley Group 2629 2597
Jeerinah Formation Fortescue Group 2715 2629
Bunjinah Formation Fortescue Group 2718 2715
Maddina Formation Fortescue Group 2718 2713
Pyradie Formation Fortescue Group 2730 2718
Boongal Formation Fortescue Group 2745 2730
Hardey Formation Fortescue Group 2766 2749
Mount Roe Basalt Fortescue Group 2775 2772
Fortescue Group Fortescue Group 2780 2629
Milli Milli Inlier metagranitic unit 3500 2830
Rocklea Inlier metagranitic unit 3500 2830
Milli Milli inlier greenstones 3520 2930
Rocklea Inlier greenstones 3520 2930
25. Strat
Fault
If we include fault contact relationships, this
diagram represents the key topological aspects of
a mineral system
26. 2D->3D
With the harmonisation of digital geological data available via delivery systems such
as GeoVIEW, we can imagine a world where 3D models are available “on-demand”
27. 2D->3D
Current Workflow
Insert data into
geomodeller
1. Topography
2. Stratigraphic contacts, with structural
orientation data
3. Faults with structural orientation data
4. Stratigraphy
5. Fault-Fault age relationships
6. Fault-stratigraphy age relationships
3D model and/or
cross-sections
28. Data availability?
1. Topography SRTM
2. Stratigraphic contacts, with structural orientation data Map + WAROX
3. Faults with structural orientation data Map + WAROX
4. Stratigraphy ? 2D Map Analytics
5. Fault-Fault age relationships ? 2D Map Analytics
6. Fault-stratigraphy age relationships 2D Map Analytics
30. But what if we don’t have enough data to
constrain the model (lack of fault dip information
for example)?
31. Original Inputs
Perturbed
Inputs 1
Perturbed
Inputs 2
Perturbed
Inputs 3
Perturbed
Inputs 4
Perturbed
Inputs N
•
•
•
Implicit
Modelling
Engine
Wellman et al., 2010, 2011
Jessell et al., 2010
Lindsay et al., 2012,2013
Geological Topological Uncertainty & MC Simulation: Multiple Hypotheses
45
Could be uncertainty wrt orientation, position, nature, age relationship…
So now, instead on ONE model, we
have as many models as our patience
allows…
and the challenge changes from
perfecting THE MODEL, to analysing the
comonalities and differences between
suites of geological models
32. Triple Domain Inversion
J Giraud
Depth(km)
Geological Uncertainty
Density true model Magnetic – true model
Colour scale:
likelihood
Contour lines:
petrophysical
distribution
Petrophysical Uncertainty
Unconstrained single inversion
Petrophys constrained single inversion
Petrophys + geol constrained single inversion
Petrophys constrained joint inversion
Petrophys + geol constrained joint inversion
33. 3D Model topology
a) Connectivity
• Flow simulations
• Electrical measurements
Massively reduced dimensionality
(>4000 x for this example)
b) Litho-structural contacts form the limiting containers for property simulations
c) Geophysical inversions often assume fixed topology to constrain the model
space
d) Proxy for plumbing of mineral system Thiele et al., 2016a,b
350,000 voxels
82 elements
35. Unique topologies (overall, structural and lithological) can be identified by
comparing graphs using the Jaccard coefficient j (Jaccard, 1901; 1912).
Graphs are considered to be equivalent when the set of arcs defining each
graph (A and B) are identical, and hence j=1
𝑗(A, B) = A B / A B
38. Conclusions
• Spatial and temporal topology have the potential to provide essential insights in to
minerals systems
• We can extract topology from 2D (maps) and 3D models
• In map view we can use the extracted topology to better understand scaling and spatial
variation in lithostratigraphic and fault systems ( key Mineral System components)
• We can potentially use the map analytics to help automate the 2D map to 3D model
transformation
• 3D model topologies are highly sensitive to small variations in input data and can be used
to classify distinct topological classes
Editor's Notes
Our approach is to perturb the input observations to allow the automatic calculation of large numbers of models using implicit modelling schemes (geomodeller, leapfrog, SKUA…)