Presented by Abenet Yabowork, Harrison Njamba, Alan Orth, Jane Poole and Peter Ballantyne at the CGIAR Data Management Task Force (DMTF)-Open Access Working Group (OAWG) Joint Meeting, Naivasha, 7–9 October 2018
ICRISAT Global Planning Meeting 2019: Research Data Management by Abhishek Ra...ICRISAT
ICRISAT has developed various data management and sharing platforms for better pedigree management, breeding practice analysis, survey management, climate prediction activities and the like, for better data management and to maximize the benefits of these research data as long term assets of ICRISAT and the global scientific community.
ICRISAT Global Planning Meeting 2019: Research Data Management by Abhishek Ra...ICRISAT
ICRISAT has developed various data management and sharing platforms for better pedigree management, breeding practice analysis, survey management, climate prediction activities and the like, for better data management and to maximize the benefits of these research data as long term assets of ICRISAT and the global scientific community.
Azilen has Built Advance Risk Management & Mitigation System with Complex requirement & Also upgraded to Liferay 6.2. We have used various technologies such as Liferay, Spring, Yui & Solr.
Smart orchestrator for pipeline processing chain applied to space data cwin18...Capgemini
GeoApps is Capgemini’s Earth Observation
(EO) application portal allowing researchers and industrial partners to request and visualise EO products generated from the latest satellite image data. COPA is an orchestration framework for containerised applications that enables the design and run of complex workflows. This session will explore how GeoApps will implement COPA for the orchestration of EO data workflows.
Open Access/Open Data Stocktaking–ILRI and Livestock CRP ILRI
Presented by Abenet Yabowork, Peter Ballantyne, Harrison Njamba, Jane Poole, Michael Victor at the CGIAR Data and Information Management Meeting Hyderabad, 14-15 October 2019
Presented by Indira Yerramareddy, Abenet Yabowork, Enrico Bonaiuti, Julien Colomer, Peter Ballantyne, Alan Orth and Michael Victor at the CGIAR Knowledge Management group, Virtual Meeting, 1 December 2022
Active Governance Across the Delta Lake with AlationDatabricks
Alation provides a single interface to provide users and stewards to provide active and agile data governance across Databricks Delta Lake and Databricks SQL Analytics Service. Understand how Alation can expand adoption in the data lake while providing safe and responsible data consumption.
Turning FAIR into Reality - Role for Libraries dri_ireland
Presentation by Dr. Natalie Harrower, Director Digital Repository of Ireland and European Commission FAIR data expert group member, on what role librarians can play in the FAIR ecosystem. "Applying the FAIR data principles in day-to-day library practice" session by the Research Data Management Working Group, LIBER Steering Committee Research Infrastructures, LIBER2019, Dublin, 26 June 2019
Results from the FAIR Expert Group Stakeholder Consultation on the FAIR Data ...EOSCpilot .eu
Turning FAIR into Reality report and action plan by Simon Hodson, Executive Director of CODATA, delivered during the FAIR Data Session at the EOSC Stakeholders Forum 2018
Turning FAIR into Reality: Final outcomes from the European Commission FAIR D...Sarah Jones
A multi-speaker presentation given by the European Commission FAIR Data Expert Group at ScieDataCon as part of International Data Week in Botswana in November 2018.
Simon Hodson, Chair of the Group explained the remit and background. Natalie Harrower outlined key concepts. Francoise Genova spoke on the recommendations related to research data culture. Daniel Mietchen addressed the infrastructure needed and our proposals for a FAIR ecosystem, and Sarah Jones spoke to the cultural aspects needed to drive change and outlined the FAIR Action Plan.
The report has been revised in light of the 500+ comments received as part of the open consultation and will be formally released on 23rd November as part of the Austrian Presidency events.
Multi-faceted Classification of Big Data Use Cases and Proposed Architecture ...Geoffrey Fox
Keynote at Sixth International Workshop on Cloud Data Management CloudDB 2014 Chicago March 31 2014.
Abstract: We introduce the NIST collection of 51 use cases and describe their scope over industry, government and research areas. We look at their structure from several points of view or facets covering problem architecture, analytics kernels, micro-system usage such as flops/bytes, application class (GIS, expectation maximization) and very importantly data source.
We then propose that in many cases it is wise to combine the well known commodity best practice (often Apache) Big Data Stack (with ~120 software subsystems) with high performance computing technologies.
We describe this and give early results based on clustering running with different paradigms.
We identify key layers where HPC Apache integration is particularly important: File systems, Cluster resource management, File and object data management, Inter process and thread communication, Analytics libraries, Workflow and Monitoring.
See
[1] A Tale of Two Data-Intensive Paradigms: Applications, Abstractions, and Architectures, Shantenu Jha, Judy Qiu, Andre Luckow, Pradeep Mantha and Geoffrey Fox, accepted in IEEE BigData 2014, available at: http://arxiv.org/abs/1403.1528
[2] High Performance High Functionality Big Data Software Stack, G Fox, J Qiu and S Jha, in Big Data and Extreme-scale Computing (BDEC), 2014. Fukuoka, Japan. http://grids.ucs.indiana.edu/ptliupages/publications/HPCandApacheBigDataFinal.pdf
Azilen has Built Advance Risk Management & Mitigation System with Complex requirement & Also upgraded to Liferay 6.2. We have used various technologies such as Liferay, Spring, Yui & Solr.
Smart orchestrator for pipeline processing chain applied to space data cwin18...Capgemini
GeoApps is Capgemini’s Earth Observation
(EO) application portal allowing researchers and industrial partners to request and visualise EO products generated from the latest satellite image data. COPA is an orchestration framework for containerised applications that enables the design and run of complex workflows. This session will explore how GeoApps will implement COPA for the orchestration of EO data workflows.
Open Access/Open Data Stocktaking–ILRI and Livestock CRP ILRI
Presented by Abenet Yabowork, Peter Ballantyne, Harrison Njamba, Jane Poole, Michael Victor at the CGIAR Data and Information Management Meeting Hyderabad, 14-15 October 2019
Presented by Indira Yerramareddy, Abenet Yabowork, Enrico Bonaiuti, Julien Colomer, Peter Ballantyne, Alan Orth and Michael Victor at the CGIAR Knowledge Management group, Virtual Meeting, 1 December 2022
Active Governance Across the Delta Lake with AlationDatabricks
Alation provides a single interface to provide users and stewards to provide active and agile data governance across Databricks Delta Lake and Databricks SQL Analytics Service. Understand how Alation can expand adoption in the data lake while providing safe and responsible data consumption.
Turning FAIR into Reality - Role for Libraries dri_ireland
Presentation by Dr. Natalie Harrower, Director Digital Repository of Ireland and European Commission FAIR data expert group member, on what role librarians can play in the FAIR ecosystem. "Applying the FAIR data principles in day-to-day library practice" session by the Research Data Management Working Group, LIBER Steering Committee Research Infrastructures, LIBER2019, Dublin, 26 June 2019
Results from the FAIR Expert Group Stakeholder Consultation on the FAIR Data ...EOSCpilot .eu
Turning FAIR into Reality report and action plan by Simon Hodson, Executive Director of CODATA, delivered during the FAIR Data Session at the EOSC Stakeholders Forum 2018
Turning FAIR into Reality: Final outcomes from the European Commission FAIR D...Sarah Jones
A multi-speaker presentation given by the European Commission FAIR Data Expert Group at ScieDataCon as part of International Data Week in Botswana in November 2018.
Simon Hodson, Chair of the Group explained the remit and background. Natalie Harrower outlined key concepts. Francoise Genova spoke on the recommendations related to research data culture. Daniel Mietchen addressed the infrastructure needed and our proposals for a FAIR ecosystem, and Sarah Jones spoke to the cultural aspects needed to drive change and outlined the FAIR Action Plan.
The report has been revised in light of the 500+ comments received as part of the open consultation and will be formally released on 23rd November as part of the Austrian Presidency events.
Multi-faceted Classification of Big Data Use Cases and Proposed Architecture ...Geoffrey Fox
Keynote at Sixth International Workshop on Cloud Data Management CloudDB 2014 Chicago March 31 2014.
Abstract: We introduce the NIST collection of 51 use cases and describe their scope over industry, government and research areas. We look at their structure from several points of view or facets covering problem architecture, analytics kernels, micro-system usage such as flops/bytes, application class (GIS, expectation maximization) and very importantly data source.
We then propose that in many cases it is wise to combine the well known commodity best practice (often Apache) Big Data Stack (with ~120 software subsystems) with high performance computing technologies.
We describe this and give early results based on clustering running with different paradigms.
We identify key layers where HPC Apache integration is particularly important: File systems, Cluster resource management, File and object data management, Inter process and thread communication, Analytics libraries, Workflow and Monitoring.
See
[1] A Tale of Two Data-Intensive Paradigms: Applications, Abstractions, and Architectures, Shantenu Jha, Judy Qiu, Andre Luckow, Pradeep Mantha and Geoffrey Fox, accepted in IEEE BigData 2014, available at: http://arxiv.org/abs/1403.1528
[2] High Performance High Functionality Big Data Software Stack, G Fox, J Qiu and S Jha, in Big Data and Extreme-scale Computing (BDEC), 2014. Fukuoka, Japan. http://grids.ucs.indiana.edu/ptliupages/publications/HPCandApacheBigDataFinal.pdf
High Performance Data Analytics and a Java Grande Run TimeGeoffrey Fox
There is perhaps a broad consensus as to important issues in practical parallel computing as applied to large scale simulations; this is reflected in supercomputer architectures, algorithms, libraries, languages, compilers and best practice for application development.
However the same is not so true for data intensive even though commercially clouds devote many more resources to data analytics than supercomputers devote to simulations.
Here we use a sample of over 50 big data applications to identify characteristics of data intensive applications and to deduce needed runtime and architectures.
We propose a big data version of the famous Berkeley dwarfs and NAS parallel benchmarks.
Our analysis builds on the Apache software stack that is well used in modern cloud computing.
We give some examples including clustering, deep-learning and multi-dimensional scaling.
One suggestion from this work is value of a high performance Java (Grande) runtime that supports simulations and big data
Process documentation research of CAPI uses in VDSA project ICRISAT
Computer Assisted Personal Interviewing (CAPI) provides huge efficiency gain in household survey and data management over Paper and Pencil Interview (PAPI). ICRISAT - VDSA team introduced CAPI mode of survey in three villages of SAT India in 2014. Objectives • To assess and document process adopted in implementing CAPI mode for household survey in the VDSA project.
EOSC-hub contribution to the EOSC implementation, the Hub concept and engagem...EOSC-hub project
EOSC-hub contribution to the EOSC implementation, the Hub concept and engagement with stakeholders, Tiziana Ferrari, Technical Director, EGI & EOSC-hub Project Coordinator; Per Öster, Director, CSC & EOSC-hub Project Director (EOSC hub week, Malaga, 16 - 20 April 2018)
In today's fast paced and digital world, many in government are looking to the cloud as a means to transform their agency. The cloud allows us to easily collaborate, share resources, receive on demand computing power, and change the way we deliver services to citizens. With the cloud, this all can be done faster and more efficiently than ever before.
RDM Roadmap to the Future, or: Lords and Ladies of the DataRobin Rice
Story of the new 2017-2020 University of Edinburgh RDM Roadmap, with a Tolkienesque theme for IASSIST-CARTO 2018 in Montreal: "Once upon a data point: sustaining our data storytellers".
Similar to Progress in operationalizing FAIR principles—ILRI and Livestock CRP (20)
Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...ILRI
Presentation by Guy Ilboudo, Abel Sènabgè Biguezoton, Cheick Abou Kounta Sidibé, Modou Moustapha Lo, Zoë Campbell and Michel Dione at the 6th Peste des Petits Ruminants Global Research and Expertise Networks (PPR-GREN) annual meeting, Bengaluru, India, 28–30 November 2023.
Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...ILRI
Poster by Guy Ilboudo, Abel Sènabgè Biguezoton, Cheick Abou Kounta Sidibé, Modou Moustapha Lo, Zoë Campbell and Michel Dione presented at the 6th Peste des Petits Ruminants Global Research and Expertise Networks (PPR-GREN) annual meeting, Bengaluru, India, 29 November 2023.
A training, certification and marketing scheme for informal dairy vendors in ...ILRI
Presentation by Silvia Alonso, Jef L. Leroy, Emmanuel Muunda, Moira Donahue Angel, Emily Kilonzi, Giordano Palloni, Gideon Kiarie, Paula Dominguez-Salas and Delia Grace at the Micronutrient Forum 6th Global Conference, The Hague, Netherlands, 16 October 2023.
Milk safety and child nutrition impacts of the MoreMilk training, certificati...ILRI
Poster by Silvia Alonso, Emmanuel Muunda, Moira Donahue Angel, Emily Kilonzi, Giordano Palloni, Gideon Kiarie, Paula Dominguez-Salas, Delia Grace and Jef L. Leroy presented at the Micronutrient Forum 6th Global Conference, The Hague, Netherlands, 16 October 2023.
Food safety research in low- and middle-income countriesILRI
Presentation by Hung Nguyen-Viet at the first technical meeting to launch the Food Safety Working Group under the One Health Partnership framework, Hanoi, Vietnam, 28 September 2023
Presentation by Hung Nguyen-Viet at the first technical meeting to launch the Food Safety Working Group under the One Health Partnership framework, Hanoi, Vietnam, 28 September 2023
Reservoirs of pathogenic Leptospira species in UgandaILRI
Presentation by Lordrick Alinaitwe, Martin Wainaina, Salome Dürr, Clovice Kankya, Velma Kivali, James Bugeza, Martin Richter, Kristina Roesel, Annie Cook and Anne Mayer-Scholl at the University of Bern Graduate School for Cellular and Biomedical Sciences Symposium, Bern, Switzerland, 29 June 2023.
Assessing meat microbiological safety and associated handling practices in bu...ILRI
Presentation by Patricia Koech, Winnie Ogutu, Linnet Ochieng, Delia Grace, George Gitao, Lily Bebora, Max Korir, Florence Mutua and Arshnee Moodley at the 8th All Africa Conference on Animal Agriculture, Gaborone, Botswana, 26–29 September 2023.
Ecological factors associated with abundance and distribution of mosquito vec...ILRI
Poster by Max Korir, Joel Lutomiah and Bernard Bett presented the 8th All Africa Conference on Animal Agriculture, Gaborone, Botswana, 26–29 September 2023.
Practices and drivers of antibiotic use in Kenyan smallholder dairy farmsILRI
Poster by Lydiah Kisoo, Dishon M. Muloi, Walter Oguta, Daisy Ronoh, Lynn Kirwa, James Akoko, Eric Fèvre, Arshnee Moodley and Lillian Wambua presented at Tropentag 2023, Berlin, Germany, 20–22 September 2023.
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
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.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
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/
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
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.
(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.
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.
Progress in operationalizing FAIR principles—ILRI and Livestock CRP
1. Progress in operationalizing FAIR principles
- ILRI and Livestock CRP -
Abenet Yabowork, Harrison Njamba, Alan Orth, Jane Poole and Peter Ballantyne
CGIAR DMTF (Data Management Task Force)-OAWG (Open Access Working
Group) Joint Meeting, Naivasha, 7–9 October 2018
2. Progress towards Milestones
• ILRI 2017 scientist performance reviews required information
products to be in CGSpace [CGSpace output lists generated for
each scientist]
• Enhanced metadata quality and consistency checking in CGSpace
[multiple fields; draft CG Core consistency checks]
• ILRI and CRP platforms GDPR compliant, May 2018 (ILRI policy
and privacy statements approved by IMC)
• Copyright and data ownership issues included in all ILRI and CRP
legal agreements; non-disclosure agreements for sharing
confidential data; fully-operational IRB (IREC) incorporating
informed consent and privacy and confidentiality of data.
• DSpace information products ‘explorer’ dashboard version 1
developed with ICARDA (AReS) to enhance navigation and
reporting
3. Progress towards Milestones (numbers)
• Of 1042 information products (Livestock CRP and ILRI) published in
2017-2018 and recorded in CGSpace, 88% are open access; 97 ILRI
datasets uploaded in 2014 – 2017 to the data portal and 11 so far in
2018
• In 2017-2018, 200 (70%) of CRP information products have social
attention [Altmetric data] and 44 (13%) have ‘citations’ [Altmetric data]
• In 2017-2018, 759 (54%) of ILRI information products have social
attention [Altmetric data] and 201 (14%) have ‘citations’ [Altmetric
data]
• In 2017-2018, 600K downloads of CRP information products and 6
million downloads of ILRI information products [CGSpace data]
• CGSpace receives about 250,000 API harvesting requests per month
from Land Portal, GARDIAN, Ethiopian Agricultural Portal, CORE, other
CGIAR websites
4. Challenges in operationalizing FAIR
• Still waiting for final review and approval of CG Core
• CGSpace content harvesting by third parties can lead to poor-
re-use – Land Portal selective harvesting and Maceroni Bros
re-use via CRP and center websites are good models of
dialogue; AGRIS via AgroKnow very poor
• Researchers on 100% project funding don’t have much
attention for OA/OD initiatives including awareness (e.g.
research methods review at ILRI, Accenture digital strategy
assessment)
• Although many donors want open-access publications/data
and data management, still difficult to incorporate
sufficiently into budgets for projects
5. Strategies to address challenges in
operationalizing FAIR
• Internal OA/OD/IA task force of senior managers/scientists is
pushing this work
• Include OA-OD reviews or sign-offs into project proposal
development and end of project completion
• Enhance internal capacities by recruiting extra (temporary)
staff to focus on ‘open’ processes, actions and awareness,
with a strong emphasis on priority data needs
6. 2018 Q4 plans
• An ongoing ILRI Research Methods review which includes
Informatics and Big Data looking at the sustainability and
options for our CKAN and database servers / systems
• Ongoing activity to make legacy A4NH and Livestock CRP and
other ILRI datasets open-access
• Include Access & Benefit Sharing (ABS) into ILRI agreements
and Research Compliance
• Further develop data collection platform to include online
cleaning, user management and automated transfer to
server/portal
• Run animal data ‘safari’ at BDP 2018 convention
7. This presentation is licensed for use under the Creative Commons Attribution 4.0 International Licence.
better lives through livestock
ilri.org
ILRI thanks all donors and organizations who globally supported its work through their contributions
to the CGIAR system
Editor's Notes
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Annual reports per scientist from CGSpace to be used in performance management/measure of open access publishing per author
Annual reports per scientist from CGSpace to be used in performance management/measure of open access publishing per author