Provides a first look at the data captured by PSMA Australia's new dataset, Geoscape. This is from the first production phased which has captured 16,500 square km in the Adelaide region. The full delivery of Geoscape in 2017 will provide location, distribution and physical characteristics for over 15 million structures across 7.6 million square kms.
Geoscape - Capturing the built environmentPSMA Australia
Geoscape is a new initiative from PSMA that captures the observed built environment and anchors it in a reliable geospatial base. The dataset includes 3D building attributes, land cover, tree heights, and elevation.
Provides a first look at the data captured by PSMA Australia's new dataset, Geoscape. This is from the first production phased which has captured 16,500 square km in the Adelaide region. The full delivery of Geoscape in 2017 will provide location, distribution and physical characteristics for over 15 million structures across 7.6 million square kms.
Geoscape - Capturing the built environmentPSMA Australia
Geoscape is a new initiative from PSMA that captures the observed built environment and anchors it in a reliable geospatial base. The dataset includes 3D building attributes, land cover, tree heights, and elevation.
Soil Spectral Libraries for monitoring & reporting on SDG indicators in North...ExternalEvents
This presentation was presented during the 3 Parallel session on Theme 1, Monitoring, mapping, measuring, reporting and verification (MRV) of SOC, of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Mr. George Zalidis, from Aristotle University of Thessaloniki - Greece, in FAO Hq, Rome
The Perils and Promise of Environmental Data ScienceDawn Wright
Keynote address delivered in April 2019 to the Yale School of Forestry & Environmental Studies, during their annual research conference. "The mission of the Annual F&ES Research Conference is to provide a forum for research degree students and postdocs to share their original work with the F&ES community, as well as with the broader Yale and New Haven communities. After the success of last year's partnership with Yale Pathways to Science, we will again open conference attendance to local high school students and host events emphasizing research communication. Our aim is for the conference to facilitate interdisciplinary communication and collaboration both within the School and beyond the walls of Kroon."
2015 FOSS4G Track: Analyzing Aspen's Community Forest with Lidar, Object-Base...GIS in the Rockies
The city of Aspen has a diverse and extensive community forest comprised of natural forested areas, street and park trees, yard trees, and riparian corridors. Trees are a key asset to experiencing downtown Aspen. In this study, we utilized several open source GIS software to analyze the tree canopy extent as well as new tree planting areas. Several land cover metrics were calculated using geoprocessing routines across a variety of spatial planning scales including city limits, parcels, and zoning categories. The data informs planning and development, stormwater modeling, education/outreach, and natural areas monitoring. Methods, tools, and results will be presented.
Soil Spectral Libraries for monitoring & reporting on SDG indicators in North...ExternalEvents
This presentation was presented during the 3 Parallel session on Theme 1, Monitoring, mapping, measuring, reporting and verification (MRV) of SOC, of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Mr. George Zalidis, from Aristotle University of Thessaloniki - Greece, in FAO Hq, Rome
The Perils and Promise of Environmental Data ScienceDawn Wright
Keynote address delivered in April 2019 to the Yale School of Forestry & Environmental Studies, during their annual research conference. "The mission of the Annual F&ES Research Conference is to provide a forum for research degree students and postdocs to share their original work with the F&ES community, as well as with the broader Yale and New Haven communities. After the success of last year's partnership with Yale Pathways to Science, we will again open conference attendance to local high school students and host events emphasizing research communication. Our aim is for the conference to facilitate interdisciplinary communication and collaboration both within the School and beyond the walls of Kroon."
2015 FOSS4G Track: Analyzing Aspen's Community Forest with Lidar, Object-Base...GIS in the Rockies
The city of Aspen has a diverse and extensive community forest comprised of natural forested areas, street and park trees, yard trees, and riparian corridors. Trees are a key asset to experiencing downtown Aspen. In this study, we utilized several open source GIS software to analyze the tree canopy extent as well as new tree planting areas. Several land cover metrics were calculated using geoprocessing routines across a variety of spatial planning scales including city limits, parcels, and zoning categories. The data informs planning and development, stormwater modeling, education/outreach, and natural areas monitoring. Methods, tools, and results will be presented.
This presentation was made for the Introduction to Management course. The text was Management by Mary Coulter, Stephen P Robbins and Neharika Vohra. The case can be found in the first chapter of the text mentioned earlier.
Lessons learned from a Microsoft AI for Earth-WRI Collaboration
Learn more: https://www.wri.org/events/2020/06/webinar-ai-global-environmental-challenges
Baseline data is a significant part of EIA. As the proverb says "Look before you leap". Every environmental aspect should be considered before initiating each and everything. The baseline should be well-known about an environment.
This presentation was given by Dr Eva Mockler, EPA Catchment Science and Management Unit, at the 2020 annual meeting of the Irish Freshwater Sciences Association.
It covers 4 tools:
1.Pollutant Impact Potential (PIP) Maps
2.SANICOSE Model for septic tanks
3.Source Load Apportionment Model
4.Morphological Quality Index for Ireland (MQI Ireland)
See www.freshwaterscience.ie and www.catchments.ie for more information.
GIS and Remote Sensing in Diagnosis and Management of Problem Soil with audio...KaminiKumari13
GIS and Remote Sensing in Diagnosis and Management of Problem Soil for agriculture, soil science, agronomy, forestry, land management and planning with audio by Dr. Kamini Roy
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
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.
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
2. ‘Application of Digital Soil Mapping
(DSM) to improve the accuracy of
national soils data’
Fieldwork at Strachan, near
Aboyne, Aberdeenshire
Example of computer mapping an
area of NE Scotland
3.
4.
5. Users of soil information
Used by a wide variety of people
Not restricted to just soil scientists.
Research organisation (university, institutes)
Local Authorities/Councils
Governmental Departments/Agencies
Finance/insurance
Construction industry
+ lots more!
6. Why do we need soil information?
Assess current quality of soil
Morphology, chemistry and biological
components.
Can provide information
Water resource management
Land suitable for growing crops
Potential areas for carbon
sequestration.
7. Digital Soil Mapping (DSM)
Maps of soil types and properties which can be supported
by computer-based applications.
Soil
Climate
Organisms
Relief
Parent material
Age
Spatial position
Adapted from: Hannam, J., Mayr, T., Zawadska, J., Corstanje, R., Hallett, S., Jones, B.,
Creamer, R. (2014). "Putting the soil back into digital soil mapping."
Data Cleansing
Analyses
of data
e.g. inference
model
8. A move towards
Digital Soil
Assessment (DSA)?
Soil functions need
further
exploration…
Carré, F., McBratney, A.B., Mayr,
T., and Montanarella, L. (2007):
"Digital soil assessments:
Beyond DSM." Geoderma
142(1–2): pp.69-79.
9. To summarise
Soil has many functions such as:
Food, fibre and fuel production
Water
Carbon (energy source)
We need to:
utilise existing data that we have already
Acquire additional data effectively for DSM.
Make information easily accessible for appropriate
stakeholders
DSM will help in terms of improving the quality of
national soils data and reduce uncertainty.
Improving the accuracy = aggregate out many sources of information/iron out any discrepancies and inconsistencies using developed modelling approaches. – Scotland, England and Wales using datasets from The James Hutton Institute and Cranfield University (NSRI).
National Soils data – physical, chemical, biological and morphological data – properties such as soil carbon, chemistry etc.
2015 is the International Year of Soils and as part of the year we are having a whole host of events to advertise the importance of soils for plants, animals and humans.
The IYS aims to increase awareness and understanding of the importance of soil for food security and other essential functions.
Did you know, though, that an acre of soil can hold about 5-10 tons of living beings?
One measly gram of soil could hold as much as 5,000-7,000 different bacteria species
Soils deliver an array of ecosystems services that enable life on earth.
These range from carbon sequestration, flood regulation and habitat for organisms – important for everybody and everything! The ones that have a blue circle around them are the ones that are strictly connected to the main themes of the conference we are all attending. That’s not to say that the other functions are no more or less important.
There are different types of soil information out there ranging from maps, data and apps which can showcase soil properties such as soil carbon, morphology and soil types. Examples of this are Land Information System (LandIS) at Cranfield University and Soils Information for Scottish Soils (SIFSS) at the James Hutton Institute. The UK Soil Observatory (UKSO) is also holding a lot of the soils data and information for a wide variety of research institutes such as Centre for Ecology and Hydrology (CEH) and the British Geological Survey (BGS).
Soil information can be used by a range of different stakeholders (the majority sectors are listed on this slide) for an array of projects and applications.
Construction industry need soils information to assess suitability for building infrastructure.
Authorities such as DEFRA, Environmental Agencies need soils information to assess things such as flood risk, leaching risk etc.
Availability of information which is up-to-date is a problem as traditional soil surveying is nowadays deemed to be too expensive, impractical and time consuming.
Furthermore, a lot of information that the stakeholder might be needing might not be at the appropriate scale or resolution. This can and has caused problems in terms of shaping policies and management decisions.
There is useful soil information which can be communicated in different ways (through work in laboratories and archives) – through digitally creating soil maps to transferring this information onto apps such as the SOCiT app which was designed by Matt Aitkenhead and others at Hutton.
Start off with our covariates which are based on SCORPAN model which was first coined by McBratney and authors in 2003.
The data is then cleansed to iron out any inconsistencies within the data (e.g. negative values)
Data is then analysed to see if there are any potential relationships within the data – Statistica programme is the main programme that uses this.
These are then shoved into an inference model such as a Bayesian Belief Network (BBN) as the one in the diagram (also have Neural Networks, CART and RF)- from these analyses we can then generate a map of the outputs from the model. –this is an example of a map output used as part of Africa Soils project.
Throughout the literature, we are beginning to move towards digital soil assessment. The green box above show the information we have a lot of. Cranfield and Hutton host a lot of soil observations on which we have information on soil properties, soil classes and the like. We also have an extensive range of external environmental (or covariate) data.
The box in blue below shows information that we need to explore further. Soil functions and soil threats in particular are of key interest. This will then help us to give us information on potential scenario issues or risks that might occur which could affect market/society, environment and shape policies and management. The red circle is just to indicate what hopefully through Digital Soil Mapping of simple soil functions (in the initial sense) I’ll be able to achieve as part of my PhD (HOPEFULLY!!)