PANEL 3: Priority setting of chemicals – potential for harmonisation and synergies
Presentation: Mike Rasenberg, Head of Computational Assessment and Dissemination Unit, ECHA
PANEL 3: Priority setting of chemicals – potential for harmonisation and synergies
Presentation: Michael Walls, Vice President – Regulatory and Technical Affairs, American Chemistry Council, US
Decision making under uncertainty rees presentationaOfer Erez
A partnership of funders invites applications for proposals to support networking of researchers from different disciplines relating to the topic of decision making under uncertainty. The theme of the call builds on some events held by the funding partners and Research Councils UK (RCUK). There is a budget of up to £750,000 to support this activity, and we expect to fund a maximum of two networks, which will include support for feasibility projects, for two years. E-Mail: ofer43211@gmail.com anatbensalmon@gmail cristalanna66@gmail.com
https://www.lucidchart.com/documents/view/396e608b-7121-4983-8774-048364368953
Kuching | Jan-15 | Policy Instruments in Facilitating Renewable Energy Off-g...Smart Villages
Given by Dr. Liu Xiying
The second in our series of workshops designed to gather input from stakeholders involved in existing off-grid projects in Africa, Asia and Latin America. This event is workshop scheduled to be held in Malaysia for the ASEAN countries will be organised by the Academy of Sciences Malaysia (ASM) in collaboration with Universiti Malaysia Sarawak (UNIMAS).
PANEL 3: Priority setting of chemicals – potential for harmonisation and synergies
Presentation: Mike Rasenberg, Head of Computational Assessment and Dissemination Unit, ECHA
PANEL 3: Priority setting of chemicals – potential for harmonisation and synergies
Presentation: Michael Walls, Vice President – Regulatory and Technical Affairs, American Chemistry Council, US
Decision making under uncertainty rees presentationaOfer Erez
A partnership of funders invites applications for proposals to support networking of researchers from different disciplines relating to the topic of decision making under uncertainty. The theme of the call builds on some events held by the funding partners and Research Councils UK (RCUK). There is a budget of up to £750,000 to support this activity, and we expect to fund a maximum of two networks, which will include support for feasibility projects, for two years. E-Mail: ofer43211@gmail.com anatbensalmon@gmail cristalanna66@gmail.com
https://www.lucidchart.com/documents/view/396e608b-7121-4983-8774-048364368953
Kuching | Jan-15 | Policy Instruments in Facilitating Renewable Energy Off-g...Smart Villages
Given by Dr. Liu Xiying
The second in our series of workshops designed to gather input from stakeholders involved in existing off-grid projects in Africa, Asia and Latin America. This event is workshop scheduled to be held in Malaysia for the ASEAN countries will be organised by the Academy of Sciences Malaysia (ASM) in collaboration with Universiti Malaysia Sarawak (UNIMAS).
A partnership of funders invites applications for proposals to support networking of researchers from different disciplines relating to the topic of decision making under uncertainty. The theme of the call builds on a number of events held by the funding partners and Research Councils UK (RCUK).
There is a budget of up to £750,000 to support this activity, and we expect to fund a maximum of two networks, which will include support for feasibility projects, for two years.
Proposals will need to consider & seek to involve a wide breadth of relevant communities and build on current RCUK funded activities (see Annex I for examples).
The purpose of this call is to develop & build widespread linkages between disciplines related to decision making under uncertainty and grow a multidisciplinary community in this space. The network(s) will be expected to work with user organisations (policy-makers, industry, and/or civil society organisations) to analyse real-world systems and identify where multi-disciplinary research can develop new approaches to improve decision-making under uncertainty.
The Vision and the Grand Challenges of the Agri-Food Communitye-ROSA
Sander Janssen's presentation at the eROSA Workshop “Towards Open Science in Agriculture & Food”, a side event to High Level conference on FOOD 2030, Plovdiv, Bulgaria (13/6/2018)
A better understanding of the OECD Test Guidelines Programme and the validati...OECD Environment
The two presentations in the video offer clear explanations of how the OECD Test Guidelines Programme operates, the key actors and partners. The second presentation illustrates how a validation body has been actively contributing to the Programme. A number of challenges are also identified moving forward with new approach methods.
A chemicals perspective on designing with sustainable plastics OECDOECD Environment
With global plastic production soaring over the last 50 years, it is more urgent than ever to continue developing sustainable plastic products from a chemicals perspective. Our new report “A Chemicals Perspective on Designing with Sustainable Plastics - Goals, Considerations and Trade-offs” and its four supporting case studies (biscuit wrappers, detergent bottles, flooring and insulation) look at the plastic material selection process from a chemicals perspective to enable the creation of inherently sustainable plastic products.
Developed with country delegates, designers, industry stakeholders and NGOs, it will help designers and engineers select sustainable plastic for their products by equipping them with the right knowledge of chemicals.
A webinar to discuss the key findings of the reports took place on 7 December. Watch the video replay below to hear perspectives from countries and industry on the value of the initiative.
Presented by Paddy Pringle, Climate Analytics/SPREP, in September 2020 at the Virtual Learning Event on Monitoring and Evaluation (M&E) for National Adaptation in Pacific Small Island Developing States organized by organized by the NAP Global Network in collaboration with the Pacific Resilience Partnership (PRP)
Currently, businesses have access to robust information on physical water risk through resources such as the Aqueduct Water Risk Atlas — but there is no similar resource to assess the conditions around public water management.
World Resources Institute, Pacific Institute, and the UN Global Compact CEO Water Mandate are working with businesses to develop a database on public water management in the U.S. and Mexico.
Learn more: https://www.wri.org/events/2020/04/webinar-public-water-management-forum-apr-02
Targeted Topics Forum Introduction and Facilitation Notes | Blane HarveyNAP Global Network
Presentation by Blane Harvey, IISD, introducing the National Adaptation Plan (NAP) Global Network's Targeted Topics Forum in Lilongwe, Malawi, in February 2017. This presentation includes facilitation guidelines for the exercises undertaken on Day 1 of this forum.
The issue of open-source models in the cost-effectiveness and disease-level (collaborative) models has been brewing for many years. There has been a marked growth in open science, and funding bodies and publishers increasingly require that research data be made available. As mentioned in our previous Issue Panel, “cost-effectiveness models synthesise a wide range of evidence to facilitate extrapolation over time and from intermediate to final decision endpoints. These models are often statistically sophisticated and require assumptions that are not directly testable. This can lead to decision-makers “discounting” the results of cost-effectiveness analyses, particularly if the developer is seen as partial.” Open-source models, then, would encourage greater transparency in pharmacoeconomic modeling and the reuse and updating of the best/most useful models; they are essential if cost-effectiveness analyses are to be widely accepted to reduce bias, increase transparency, improve model access, and allow for faster access to critical knowledge. The ISPOR-SMDM guidelines and the EUnetHTA joint action projects, are supportive of these views on collaboration, transparency, confidentiality, processes and consistency offered by the availability of open-source models to improve decision-making around health care and reimbursement. With openness and sharing, however, come issues of copyright and access and a need to define how model sharing can be achieved in a fair and equitable manner. There is, therefore, a need to develop an ongoing dialog on openness, especially where the research may be considered precompetitive and not worthy of IP investment. The pros and cons of open source models and the proposed mission of the Open Source Model SIG to curate an ongoing dialog regarding issues around creating, disseminating, sharing, evaluating, and updating open source cost-effectiveness and comparative effectiveness models will be debated amongst SIG members.
Author(s) and affiliation(s): Nancy Risebrough, Senior Principal, ICON plc, Toronto, Canada Jeroen P Jansen; Innovation & Value Initiative; Precision Medicine Group; and Stanford University Lotte Steuten, Vice President & Head of Consulting, Office of Health Economics, UK Renée JG Arnold, PharmD, RPh, ICON plc, New York, NY and Icahn School of Medicine at Mount Sinai, New York, NY, USA
Event: ISPOR 2019 Annual Meeting
Date: 20/05/2019
Australia's Environmental Predictive CapabilityTERN Australia
Federating world-leading research, data and technical capabilities to create Australia’s National Environmental Prediction System (NEPS).
Community consultation presentation.
3-12 February 2020
Dr Michelle Barker (Facilitator)
(Presentation v5)
A partnership of funders invites applications for proposals to support networking of researchers from different disciplines relating to the topic of decision making under uncertainty. The theme of the call builds on a number of events held by the funding partners and Research Councils UK (RCUK).
There is a budget of up to £750,000 to support this activity, and we expect to fund a maximum of two networks, which will include support for feasibility projects, for two years.
Proposals will need to consider & seek to involve a wide breadth of relevant communities and build on current RCUK funded activities (see Annex I for examples).
The purpose of this call is to develop & build widespread linkages between disciplines related to decision making under uncertainty and grow a multidisciplinary community in this space. The network(s) will be expected to work with user organisations (policy-makers, industry, and/or civil society organisations) to analyse real-world systems and identify where multi-disciplinary research can develop new approaches to improve decision-making under uncertainty.
The Vision and the Grand Challenges of the Agri-Food Communitye-ROSA
Sander Janssen's presentation at the eROSA Workshop “Towards Open Science in Agriculture & Food”, a side event to High Level conference on FOOD 2030, Plovdiv, Bulgaria (13/6/2018)
A better understanding of the OECD Test Guidelines Programme and the validati...OECD Environment
The two presentations in the video offer clear explanations of how the OECD Test Guidelines Programme operates, the key actors and partners. The second presentation illustrates how a validation body has been actively contributing to the Programme. A number of challenges are also identified moving forward with new approach methods.
A chemicals perspective on designing with sustainable plastics OECDOECD Environment
With global plastic production soaring over the last 50 years, it is more urgent than ever to continue developing sustainable plastic products from a chemicals perspective. Our new report “A Chemicals Perspective on Designing with Sustainable Plastics - Goals, Considerations and Trade-offs” and its four supporting case studies (biscuit wrappers, detergent bottles, flooring and insulation) look at the plastic material selection process from a chemicals perspective to enable the creation of inherently sustainable plastic products.
Developed with country delegates, designers, industry stakeholders and NGOs, it will help designers and engineers select sustainable plastic for their products by equipping them with the right knowledge of chemicals.
A webinar to discuss the key findings of the reports took place on 7 December. Watch the video replay below to hear perspectives from countries and industry on the value of the initiative.
Presented by Paddy Pringle, Climate Analytics/SPREP, in September 2020 at the Virtual Learning Event on Monitoring and Evaluation (M&E) for National Adaptation in Pacific Small Island Developing States organized by organized by the NAP Global Network in collaboration with the Pacific Resilience Partnership (PRP)
Currently, businesses have access to robust information on physical water risk through resources such as the Aqueduct Water Risk Atlas — but there is no similar resource to assess the conditions around public water management.
World Resources Institute, Pacific Institute, and the UN Global Compact CEO Water Mandate are working with businesses to develop a database on public water management in the U.S. and Mexico.
Learn more: https://www.wri.org/events/2020/04/webinar-public-water-management-forum-apr-02
Targeted Topics Forum Introduction and Facilitation Notes | Blane HarveyNAP Global Network
Presentation by Blane Harvey, IISD, introducing the National Adaptation Plan (NAP) Global Network's Targeted Topics Forum in Lilongwe, Malawi, in February 2017. This presentation includes facilitation guidelines for the exercises undertaken on Day 1 of this forum.
The issue of open-source models in the cost-effectiveness and disease-level (collaborative) models has been brewing for many years. There has been a marked growth in open science, and funding bodies and publishers increasingly require that research data be made available. As mentioned in our previous Issue Panel, “cost-effectiveness models synthesise a wide range of evidence to facilitate extrapolation over time and from intermediate to final decision endpoints. These models are often statistically sophisticated and require assumptions that are not directly testable. This can lead to decision-makers “discounting” the results of cost-effectiveness analyses, particularly if the developer is seen as partial.” Open-source models, then, would encourage greater transparency in pharmacoeconomic modeling and the reuse and updating of the best/most useful models; they are essential if cost-effectiveness analyses are to be widely accepted to reduce bias, increase transparency, improve model access, and allow for faster access to critical knowledge. The ISPOR-SMDM guidelines and the EUnetHTA joint action projects, are supportive of these views on collaboration, transparency, confidentiality, processes and consistency offered by the availability of open-source models to improve decision-making around health care and reimbursement. With openness and sharing, however, come issues of copyright and access and a need to define how model sharing can be achieved in a fair and equitable manner. There is, therefore, a need to develop an ongoing dialog on openness, especially where the research may be considered precompetitive and not worthy of IP investment. The pros and cons of open source models and the proposed mission of the Open Source Model SIG to curate an ongoing dialog regarding issues around creating, disseminating, sharing, evaluating, and updating open source cost-effectiveness and comparative effectiveness models will be debated amongst SIG members.
Author(s) and affiliation(s): Nancy Risebrough, Senior Principal, ICON plc, Toronto, Canada Jeroen P Jansen; Innovation & Value Initiative; Precision Medicine Group; and Stanford University Lotte Steuten, Vice President & Head of Consulting, Office of Health Economics, UK Renée JG Arnold, PharmD, RPh, ICON plc, New York, NY and Icahn School of Medicine at Mount Sinai, New York, NY, USA
Event: ISPOR 2019 Annual Meeting
Date: 20/05/2019
Australia's Environmental Predictive CapabilityTERN Australia
Federating world-leading research, data and technical capabilities to create Australia’s National Environmental Prediction System (NEPS).
Community consultation presentation.
3-12 February 2020
Dr Michelle Barker (Facilitator)
(Presentation v5)
Investigating the impact of a web-based, ‘discussion support’, agricultural c...Helen Farley
* Background, virtual discussion-support system (DSS)
* Project objectives and proposed methodologies
* Project outcomes and outputs
* Progress so far and planned activities
* Future opportunities
* Issues and barriers
Stakeholder Identification in Net Zero InitiativesESD UNU-IAS
"Stakeholder Identification in Net Zero Initiatives", presented by Dr. Shengru Li and Mr. Jerome Silla (UNU-IAS) at the 2022 ProSPER.Net Leadership Programme, 5 December, 2022.
"Designing practitioner research for impact" Miggie Pickton, DARTS4ARLGSW
Miggie will highlight the growing importance of impact in research generally including impact case studies in the REF, funders’ demands for impact statements in research proposals, and employers requiring impact on service. This section will make a link between librarians supporting researchers and doing (and using) research themselves. This will lead on to looking at opportunities for making an impact in practitioner research.
An analysis and key questions to consider for project sustainability and management. Some theoretical and practical aspects. The second part is using the YouthMetre Project to describe, explain and discuss sustainability issues
Benefits of EIA:
The benefits of EIA can be direct, such as the improved design or location of a project, or indirect, such as better quality EIA work or raised environmental awareness of the personnel involved in the project. In these cases, there will be with flow-on effects in their future work. As mentioned above, these potential gains from EIA increase the earlier the process is applied in the design process.
This presentation was provided by Holly Falk-Krzesinski of Elsevier during the NISO event, "Is This Still Working? Incentives to Publish, Metrics, and New Reward Systems," held on February 20, 2019.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
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.
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.
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.
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.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
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.
2. A generic decision tool for assessing response
options to tree pests in the UK
Glyn Jones
Environmental Economist
Fera
11th meeting: Ottawa, Canada 29 August-1 September 2017
4. Content
• What we were asked to do
• How we did it
• Decision Support Tool
• Limitations
NB: draft final version in review
5. Some Australian words of
wisdom ……
5
Virtually all decision support people are time-pressured …..
seldom have the luxury of researching specific species in
detail over months or years
……usually asked to predict the economic, environmental
and social impacts of threatening or newly-arrived species
in areas they have not been observed in before; all within a
matter of hours, days or (at best) weeks.
…………Moreover, the context to which a response effort is
to be made constantly changes due to external pressures
(Cook, D.C.,Wilby, A., & Fraser, R.W. Improving Plant Biosecurity Policy Evaluation and Prioritisation: The
Economic Impacts of Pests and Diseases)
6. What we were asked to do
Develop a Decision Support Framework & Tool
for tree pest/disease management
Requirements:
• Generic
• Clear and replicable
• Simple and transparent
• Quick results
• Easily accessible to a range
of end-users
Eradicate
Contain
Live with
? ??
7. End-user Needs
• Standardised framework for scenario assessment
• Help integrate quantitative model outputs:
• Set quantitative analysis into context
+ Legal, social,… implications of management options;
urban vs natural environment; “What-if” scenarios
• Systematic analysis of uncertainty
• Easily digestible visualisations
• Can be used and understood by a range of end-users
Provide a basis for the narrative between the
quantitative cost benefit analysis and the policy
decision that includes wider social and political
concerns
8. Co-development/co-design
Steering group meetings:
• Choice of platform, model requirements
• Additional outcome: more input from policy makers needed
Stakeholder workshops:
• Attending: PH policy makers, social scientists, modellers,…
• 1st WS: How will the outputs be used and how should they be
presented?
• 2nd WS: presentation & feedback on working version of tool
Project advisory group reviews:
• Feedback on process and model
15. Prevalence model
Estimates the proportion of affected hosts (the “incidence”)
at the time of first detection, based on:
• Total host area
• Spread rate + uncertainty
• Interval between sampling
• Number of samples
17. Environmental Values
• Various issues
• Old data (pre 2003) – not produced for ecosystem
service losses
• Context – urban trees v wilderness trees
• Recommendation from PAG not to use the biodiversity
value
Timber, landscape, carbon,
biodiversity, recreation, air
quality, other
23. Limitations
• Only one spread model
• Spread assumed constant over time
• Limited control options
• Environmental values
• … there are others!
= future development opportunities!
25. Other stuff
Last time in Dundee
• View of the industry on cost and responsibility
• Why would industry want to join?
• Early Rapid Trade modelling – impacts of number of members on
private and public biosecurity
2017/18
• FPPH – agent based model of industry led scheme, November workshop
(design stage)
• N8 – pump priming York University
• Rapid Trade 2 – Research Council bid?
26. November workshop
1. Current biosecurity activities: Types and scale of activities and associated
losses. Changes made over last 5 years
2. Industry scheme: How estimating costs and benefits. Major changes to way
operate, which aspects most costly/most effective
3. Incentives to join:
a) Current structure: sufficient for them to join, sufficient for their suppliers/customers
to join, will it increase their/system biosecurity. Scale of fees
b) Future structure: where see in 3-5 years, what proportion of industry
i. Industry led: what expect from HTA/NFU, hardship fund/self insurance, size of
membership fee and reasons for size of fee
ii. Government support; leadership, regulatory, financial
Need to cross reference with Mariella/Greg
Agent based model needs quantitative estimates … one on ones to provide
distributions for model parameters
Excel: was preferred option – “go to” tool in FC / Defra
HOWEVER: Changing hardcoded elements requires specialist knowledge of R & Shiny
Excel: was preferred option – “go to” tool in FC / Defra
HOWEVER: Changing hardcoded elements requires specialist knowledge of R & Shiny
Initial visual representation of how a framework could look
Support decision, but not make it (important for narrative – explain model outputs and policy maker issues – legal, social,…)
2 separate models
Initial visual representation of how a framework could look
Support decision, but not make it (important for narrative – explain model outputs and policy maker issues – legal, social,…)
2 separate models
Initial visual representation of how a framework could look
Support decision, but not make it (important for narrative – explain model outputs and policy maker issues – legal, social,…)
2 separate models
Initial visual representation of how a framework could look
Support decision, but not make it (important for narrative – explain model outputs and policy maker issues – legal, social,…)
2 separate models
Different data sources: Willis 2003, Binner,… high uncertainty! This is reflected in the model (allows range), but should be used sensibly to avoid meaningless result
Disease may not decrease 100% of the value (see below)