Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Tactical Microgrid Standards Consortium, presented by Tom Bozada, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Concordville Microgrid, presented by Eric Stein, Travis White, George Sey, PECO, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Decentralized Operation and Control: Operational & Business Requirement Analysis for Optimum Control Architecture, presented by Alex Rojas, Ameren, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Smart Power Infrastructure Demonstration for Energy Reliability and Security (SPIDERS) Lessons and Observations, presented by Harold Sanborn, ERDC-CERL, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: PAR 2030.7 Draft Standard for Specification of Microgrid Controllers, presented by Ward Bower, Ward Bower Innovations, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: PAR 2030.8 Draft IEEE Standard for the Testing of Microgrid Controllers, presented by Ward Bower, Ward Bower Innovations LLC, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Micro grid design: Considerations & interconnection studies, presented by Mobolaji Bello, EPRI, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Utility Microgrids: Integrations and Implementation Challenges, presented by Andrew Reid, ConEdison, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Site-specific Controller Evaluation using HIL, presented by Annabelle Pratt, National Renewable Energy Laboratory, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Concordville Microgrid, presented by Eric Stein, Travis White, George Sey, PECO, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Decentralized Operation and Control: Operational & Business Requirement Analysis for Optimum Control Architecture, presented by Alex Rojas, Ameren, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Smart Power Infrastructure Demonstration for Energy Reliability and Security (SPIDERS) Lessons and Observations, presented by Harold Sanborn, ERDC-CERL, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: PAR 2030.7 Draft Standard for Specification of Microgrid Controllers, presented by Ward Bower, Ward Bower Innovations, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: PAR 2030.8 Draft IEEE Standard for the Testing of Microgrid Controllers, presented by Ward Bower, Ward Bower Innovations LLC, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Micro grid design: Considerations & interconnection studies, presented by Mobolaji Bello, EPRI, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Utility Microgrids: Integrations and Implementation Challenges, presented by Andrew Reid, ConEdison, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Site-specific Controller Evaluation using HIL, presented by Annabelle Pratt, National Renewable Energy Laboratory, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Overview of Microgrid Research, Development, and Resiliency Analysis, presented by Rob Hovsapian, Idaho National Laboratory, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: MCAGCC 29 Palms Microgrid, presented by Gary Morrissett, USMC 29 Palms Base, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Utility-owned Public Purpose Microgrids, presented by Manuel Avendano, ComEd, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Microgrids PUC Regulatory Issues, presented by Michael Winda, NJ BPU, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Requirements of energy storage and controller within microgrids, presented by Phillip Barton, Schneider, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: IEEE 1547 and Microgrids, presented by Tom Key, EPRI, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: DOE-OE Microgrid Cost Study, presented by Annabelle Pratt, National Renewable Energy Laboratory, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Simulation & Analysis Tools for Microgrids, presented by Dean Went and Andre Cortes, EPRI, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Microgrids Lessons Learned-So Far, presented by Merrill Smith and Microgrid Exchange Group, DOE, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Microgrid Controller Coordination with Building Automation & Grid Protection, presented by Jayant Kumar, GE, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Helping Customers Make the Most of their Energy, presented by Phillip Barton, Schneider Electric, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Microgrid Hardware-in-the-Loop Laboratory Testbed and Open Platform (HILLTOP), presented by Erik Limpaecher, MIT Lincoln Laboratory, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: CSEISMIC: An Open-source Microgrid Controller, presented by Ben Ollis, Oak Ridge National Laboratory, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Thoughts on Testing, Demonstrations, and Pilots, presented by Abraham Ellis, Sandia National Laboratories, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Cyber Security R&D for Microgrids, presented by Jason Stamp, Sandia National Laboratories, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Securing Microgrids, Substations, and Distributed Autonomous Systems, presented by David Lawrence, Duke Energy Emerging Technology Office, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Philadelphia Navy Yard: An Innovative Mini-City Microgrid, presented by Jayant Kumar, GE Grid Solutions, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Adapting the Integrated Grid Economic Framework to Microgrids, presented by Jeffrey Roark, EPRI, Baltimore, MD, August 29-31, 2016.
The history and nature of the traditional power grid is large-scale, bulk power generation concentrated at large power plants. The addition of DER (solar and wind) creates difficult control, subsystem management and safety challenges.
The Microgrid Testbed provides a simulated smart grid microcosm demonstrating many technologies and protocols: Data Distribution Service (DDS), Open Field Message Bus (OpenFMB), Time-Sensitive Networks (TSN), advanced analytics and how they can be combined and deployed in the field.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Overview of Microgrid Research, Development, and Resiliency Analysis, presented by Rob Hovsapian, Idaho National Laboratory, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: MCAGCC 29 Palms Microgrid, presented by Gary Morrissett, USMC 29 Palms Base, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Utility-owned Public Purpose Microgrids, presented by Manuel Avendano, ComEd, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Microgrids PUC Regulatory Issues, presented by Michael Winda, NJ BPU, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Requirements of energy storage and controller within microgrids, presented by Phillip Barton, Schneider, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: IEEE 1547 and Microgrids, presented by Tom Key, EPRI, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: DOE-OE Microgrid Cost Study, presented by Annabelle Pratt, National Renewable Energy Laboratory, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Simulation & Analysis Tools for Microgrids, presented by Dean Went and Andre Cortes, EPRI, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Microgrids Lessons Learned-So Far, presented by Merrill Smith and Microgrid Exchange Group, DOE, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Microgrid Controller Coordination with Building Automation & Grid Protection, presented by Jayant Kumar, GE, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Helping Customers Make the Most of their Energy, presented by Phillip Barton, Schneider Electric, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Microgrid Hardware-in-the-Loop Laboratory Testbed and Open Platform (HILLTOP), presented by Erik Limpaecher, MIT Lincoln Laboratory, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: CSEISMIC: An Open-source Microgrid Controller, presented by Ben Ollis, Oak Ridge National Laboratory, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Thoughts on Testing, Demonstrations, and Pilots, presented by Abraham Ellis, Sandia National Laboratories, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Cyber Security R&D for Microgrids, presented by Jason Stamp, Sandia National Laboratories, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Securing Microgrids, Substations, and Distributed Autonomous Systems, presented by David Lawrence, Duke Energy Emerging Technology Office, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Philadelphia Navy Yard: An Innovative Mini-City Microgrid, presented by Jayant Kumar, GE Grid Solutions, Baltimore, MD, August 29-31, 2016.
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Adapting the Integrated Grid Economic Framework to Microgrids, presented by Jeffrey Roark, EPRI, Baltimore, MD, August 29-31, 2016.
The history and nature of the traditional power grid is large-scale, bulk power generation concentrated at large power plants. The addition of DER (solar and wind) creates difficult control, subsystem management and safety challenges.
The Microgrid Testbed provides a simulated smart grid microcosm demonstrating many technologies and protocols: Data Distribution Service (DDS), Open Field Message Bus (OpenFMB), Time-Sensitive Networks (TSN), advanced analytics and how they can be combined and deployed in the field.
Cybersecurity for Smart Grids: Technical Approaches to Provide CybersecurityLeonardo ENERGY
This Cybersecurity webinar, the second in a series, addresses issues of importance to executive, technical, and academic professionals involved with managing and protecting Electric Utilities and Smart Grids worldwide. Technology and market challenges will be addressed, followed by cybersecurity approaches (including those used in Europe and US) and best practices. Three case studies, and legal and regulatory constraints, for architecting smart grids in a secure way also will be presented.
How the Convergence of IT and OT Enables Smart Grid DevelopmentSchneider Electric
The goal for any utility that invests in smart grid technology is to attain higher efficiency and reliable performance.
A smart grid platform implies the convergence of Operations Technology (OT) – the grid physical infrastructure assets and applications–and Information Technology (IT) – the human interface that enables rapid and informed decision making.
This paper describes best practices for migrating to a scalable, adaptable, smart grid network.
Modeling and real time digital simulation of microgrids for campuses Malta an...nooriasukmaningtyas
This paper presents the modeling and real-time digital simulation of two
microgrids: the malta college of arts, science and technology (MCAST) and the
german jordan university (GJU). The aim is to provide an overview of future
microgrid situation and capabilities with the benefits of integrating renewable
energy sources (RES), such as photovoltaic panels, diesel generators and
energy storage systems for projects on both campuses. The significance of this
work starts with the fact that real measurements were used from the two pilots,
obtained by measuring the real physical systems. These measures were used to
plan different solutions regarding RES and energy storage system (ESS)
topologies and sizes. Also, the demand curves for the real microgrids of
MCAST and GJU have been parameterized, which may serve as a test bed for
other studies in this area. Based on actual data collected from the two pilots, a
real-time digital simulation is performed using an RT-LAB platform. The
results obtained by this tool allow the microgrid manager to have a very
accurate vision of the facility operation, in terms of power flow and default
responses. Several scenarios are studied, extracting valuable insight for
implementing both projects in the future. Eventually, the proposed models
would be a blueprint for training and research purposes in the microgrid field.
The history and nature of the traditional power grid is large-scale, bulk power generation concentrated at large power plants. The addition of DER (solar and wind) creates difficult control, subsystem management and safety challenges.
The DER Integration Testbed provides a simulated smart grid microcosm demonstrating many technologies and protocols: Data Distribution Service (DDS), Open Field Message Bus (OpenFMB), Time-Sensitive Networks (TSN), advanced analytics and how they can be combined and deployed in the field.
Modeling and Simulation of the Communication Networks in.docxannandleola
Modeling and Simulation of the Communication
Networks in Smart grid
Yizhou Dong, Ziyuan Cai, Ming Yu, and Mischa Sturer
Dept. of Electrical & Computer Engineering
FAMU-FSU College of Engineering, FL 32310, USA.
[email protected], [email protected], [email protected], [email protected]
Abstract—A reliable and secure communication network plays
a significant role in Smart grid systems, which aims at
coordinating generation, transmission, distribution, and
consumption parts in power system. The scope of our work
ranges from utility level to end consumption level. The major
difficulties in this work can be summarized as follows: 1)
Performance requirements from the viewpoint of network have
not been clearly defined; 2) Model mapping from power system
to communication networks is not straightforward. 3) Network
performance has not been well-investigated. This paper
proposes a communication network model for a typical
program of smart gird. Moreover, application requirements,
link capacity and traffic settings have been investigated.
Simulation results validate the feasibility of this model and
provide useful network performances which can satisfy both
the non-real-time and real-time application requirements.
Keywords-Smart Grid; Communication Network; Simulation;
Performance; FREEDM; IFM
I. INTRODUCTION
Smart grid becomes to an attractive dominating topic
nowadays in both research universities and industrial
organization. The traditional power communication
infrastructure cannot meet the requirements for our future
power system which the energy will not only generated by
traditional generation facilities but also produced by
distributed facilities and new energy devices. The delivery of
both energy and information must also be end-to-end and
bidirectional. Communication network should interconnect
every device of power system from electricity generation to
end-user consumption, and even more. One view need to be
point out is that, in physical layer, geographic location for
power electricity device and communication network device
can be dissimilar.
NIST published the first definition of Smart Grid in 2009
which represent smart grid standardization in North
American. The networking parts proposed by NIST
emphasize the transformation from traditional power
communication networks to Information and Communication
Technology (ICT), which indicates that both energy and
information transmission must be bidirectional for all levels.
[1] In Europe, European Technology Platform also issued
standards to define smart grid as the target architecture which
enable all users’ connection, including generators,
transmission, and consumers. Other national organizations
and industrial companies also boost the development of
smart grid by provides the recommend standards and
proposals like The German Smart Grid Standardization
Roadmap concentrate their attentions ...
[Webinar Presentation] Best Practices for IT/OT ConvergenceSchneider Electric
All over the world, utilities are facing up to the task of integrating information technology (IT) operations with those of operational technology (OT). What's driving it? How can utilities prepare? What should they expect?
The webinar recording is also available on-demand. To view it, please click here: http://goo.gl/b3kxm5
Distribution Automation - Emerging Trends and Challenges Providing an overview of challenges, further providing a detail by introducing IEC 61850 standard and finally concluding by discussing the need of a maker approach or workshops thus enabling better skills and development at institutions.
This kickoff intrtoduces the concept of the Agile Fractal grid to more than 100 companies that particpated in the full day workshop lead by Chuck Speicher and John Reynolds and Craig Miller the Chief scientist of the NRECA
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 .
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.
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/
Richard's entangled aventures in wonderlandRichard 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.
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.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
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.
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.
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.
1. Tactical Microgrid Standards Consortium
US Army Engineer R&D Center (ERDC)
US Army Communications-Electronics
RD&E Center (CERDEC)
MIT Lincoln Laboratory
As of 26 August 2016
TMSC Overview
Distribution Statement A
Approved for public release; distribution is unlimited
2. • To develop standards for Tactical Microgrids including:
• Safety, Protection, & Human Factors
• Electrical Interconnection
• Communications, Controls, & Cybersecurity
• A consortium approach will be used to incorporate relevant organizations –
such as, DOE, NIST, and industry – and related on-going work to develop a
joint standard.
• This vision involves near real time management of generators, renewables
such as solar and storage with intelligent management that minimizes the size
and variability of the loads, to minimize the total mission weight (more than
40%) of fuel and power equipment.
2
TMSC Objective
3. Tactical Power Deployment Configurations
3
Central Plant Microgrid
Distributed Microgrid
The tactical situation determines
what and how devices are
configured into a microgrid.
4. 4
Create Interoperability Between Devices
Fueled Generation
Energy Storage &
Conditioning
Distribution
Loads
Intelligent
Management
System
Power
Data
Renewables Inverter/Converter
Future tactical microgrids will rely on cybersecure communications and
intelligent control to ensure efficient and effective microgrid operations that
are enabled by secure, reliable, standards-based device interactions.
6. 6
Sections and Select Subsections of the
Draft Tactical Microgrid Standard
Scope
Applicable Documents
Definitions
General Requirements
Detailed Requirements
► Safety
► Human Factors
► Data Model Overview
► Communication Interfaces
► Electrical Interconnection
► Cybersecurity
Appendices
7. The data model heavily leverages industry standards while addressing
unique DoD requirements
- Cryptographically enforced identity and trust
- Either distributed or centralized controls with defined arbitrage processes
Control 1 DER 1 DER 2
Trust
Data Sheets
Grid Forming,
Load Sharing,
Demand
Response
Discovery
Fault Handling
Configuration
Operation
Control 2
It begins with an integrated data model
8. Principal Risk Management Framework (RMF) Documents
ATO Authority to Operate A&A Assessment & Authorization
AO Authorizing Official C&A Certification & Accreditation
DAA Designated Accrediting Authority
Safe and Secure
Tactical Microgrid Operations by Design
Integrating Risk
Management
Framework (RMF)
from the beginning
DIACAP
System
ATOAO / DAA
A&A / C&A
RMF TM Standard
Design
Requirements
Safe & Secure
Operational
System
Engineering
Authorization
Today
9. • Equipment Electrical Performance Requirements
• Generator Secondary Controller Methods
• Load Sharing Methods
• Microgrid System Performance Considerations
Generator Control Methods
Secondary Control Electrical
Performance
Intelligent Load Performance
And Behavior
Inverter (Grid-feeding)
Performance and behavior
Microgrid
Connect/Disconnect Process
Microgrid System
Performance
Generator Load Sharing
Techniques
Degraded Operations
Electrical Interconnection
11. 11
Upcoming Events
September 2017: Stand up TMSC Workspace II
1st Quarter, FY 17
► Government Cybersecurity Workshop
► Military SME Review
► DoD – DOE SME Technical Exchange
► Industry Technical Exchange
► TMSC – Industry Webinars and One-on-One Discussions
• Controls
• TMSC Data Model
• Communication Architecture
• Cybersecurity
12. 12
Future Milestones
Current: Laboratory Testing and continuous draft revision
September 2016: Initial draft MIL-STD complete
October 2016: PM E2S2 Independent MIL-STD Microgrid test
begins
November 2016-June 2017: Monthly reviews of findings from
Laboratory and Independent Testing and draft updates
July-August 2017: White – Green Interoperability
Demonstration
September 2017: Final Draft MIL-STD submitted for approval
August 2018: Tactical Microgrid MIL-STD approved by DSPO
13. 13
Life after TMSC?
Grow the number of microgrids globally through the
development of advanced power and distribution systems for
Civil and Military Applications
► DoD and DOE joint development
► USG and Industry
► USA and Global Partners
“Push the Possible” through Technical Demonstrations
► Family of Interoperable Microgrid Devices concept (Self-organizing
microgrids)
► Remote Area Advanced Autonomous Microgrids for Civil and Military
Applications demonstration proposals
Adoption of select sections of the Tactical Microgrid
Interoperability MIL-STD by Industry Standards Organization