This document describes research on using deep learning to automatically detect craters on the lunar surface. Key points:
- Craters near the lunar poles may contain water ice in permanently shadowed regions but current maps have issues that make planning missions difficult.
- The researchers created a new dataset of over 28,000 labeled images to train a convolutional neural network (CNN) crater detector.
- The CNN achieved 98% accuracy, a major improvement over previous methods, and was much faster than manual detection. This tool will help create better maps to plan future missions to study lunar volatiles like water ice.
The Large Interferometer For Exoplanets (LIFE): the science of characterising...Advanced-Concepts-Team
Studying the atmospheres of a statistically significant number of rocky, terrestrial exoplanets - including the search for habitable and potentially inhabited planets - is one of the major goals of exoplanetary science and possibly the most challenging question in 21st century astrophysics. However, despite being at the top of the agenda of all major space agencies and ground-based observatories, none of the currently planned projects or missions worldwide has the technical capabilities to achieve this goal. In this talk we present new results from the LIFE Mission initiative, which addresses this issue by investigating the scientific potential of a mid infrared nulling interferometer observatory. Here we will focus on the mission's yield estimates, our simulator software as well as various exemplary science cases such as observing Earth- and Venus-twins or searching for phosphine in exoplanetary atmospheres.
The Square Kilometre Array (SKA), even in its first phase (SKA Phase 1, or SKA1) will be the largest ground-based astronomical facility ever built, with unprecedented sensitivity in the frequency ranges for local to highly redshifted HI, and future expansion up to 25 GHz. The range of science cases that the SKA telescopes will cater for will also be the largest of any research facility, from the Epoch of Reionization (EoR) and the Cosmic Down (CD), to tests of Einstein’s General Relativity, to finding all detectable pulsars in the Milky Way, and helping with the Cradle of Life case for Astrobiology. In this talk we will go through the different science cases, with emphasis in those with the most cosmological significance, such as EoR, CD, and probing General Relativity. (Talk presented at CosmoAndes 2018.)
Importance of SSPS in SDG and ESG, and importance of antennas in SSPSAdvanced-Concepts-Team
A space solar power satellite system or SSPS can generates electricity without CO2 gas nor harmful debris with competitive cost. So, it should be attached importance in SDG and ESG programs. The SSPS is a huge system working in space so that several key technologies have to be innovated or verified in space before the final manufacture. I will introduce those key technologies in terms of difficulty in applying to SSPS. In a research and development plan, key technologies with more difficulty should be ranked higher. Antennas are typically difficult ones. It is explained how the antenna is challenging compared with the existing antennas on the ground and in space. Finally, I will show you a R&D plan to put SSPS into practical use in about 30 years.
Applications Of Computer Science in AstronomyAhmed Abuzuraiq
A presentations I did for an Astronomy course about the role that computer science plays in in astronomy , Examples included are
Adaptive Optics,Automated Ground Observatory,Galaxies Classifications and Simulations.
American Astronautical Society, Astronauts and Robots: Partners in Space Exploration, May 12-13, 2015 - http://astronautical.org/event/astronauts-robots
The purpose of choosing this topic is to aware you about sentinel satellites that leads to new discoveries and ultimately changes the arena of Remote Sensing.
The presentation introduces remote sensing technology and how it is used in studying atmospheric aerosols. Remote Sensing technology uses the optical property of aerosols to detect the presence and the type of aerosol. The type or the characteristics of an aerosol is determined by seven factors which are interpreted from the satellite image. The satellite image is retrieved from geosynchronous and polar satellites, of which the latter is preferred for aerosol applications.
In addition, features and terminologies associated with remote sensing, satellite and aerosol optical properties are discussed. This project emphasizes on an interactive material that is best supplemented with lecture video. It is not designed to be conventional lecture slide. Point to note: the question mark appearing in bottom of the slides indicates the author raised a question during the lecture.
This presentation was delivered in coming-of-age lecture style, in contrast to old-school conventional style. This presentation stimulates audiences to think and act than a banal display of abstract data. The lecture videos can be found at:
[1] Part-1/2 (52 minutes): https://youtu.be/-O_mYoeg-us
[2] Part-2/2 (51 minutes): https://youtu.be/IhHHHZYcY0o
This presentation is done as a part of graduate course titled Aerosol Mechanics in Spring 2016. The author was pursuing MS in Environmental Engineering Sciences at University of Florida during the making of this project.
Computational Training and Data Literacy for Domain ScientistsJoshua Bloom
Presented at the National Academy of Sciences (11 April 2014, Washington, D.C.) at the workshop "Training Students to Extract Value from Big Data.” Discussion of computational and programming education at UC Berkeley. Emphasis on Python as a glue/gateway language. An advocation for the notion of first teaching "Data Literacy" to domain scientists before teaching Big Data proficiency.
The Large Interferometer For Exoplanets (LIFE): the science of characterising...Advanced-Concepts-Team
Studying the atmospheres of a statistically significant number of rocky, terrestrial exoplanets - including the search for habitable and potentially inhabited planets - is one of the major goals of exoplanetary science and possibly the most challenging question in 21st century astrophysics. However, despite being at the top of the agenda of all major space agencies and ground-based observatories, none of the currently planned projects or missions worldwide has the technical capabilities to achieve this goal. In this talk we present new results from the LIFE Mission initiative, which addresses this issue by investigating the scientific potential of a mid infrared nulling interferometer observatory. Here we will focus on the mission's yield estimates, our simulator software as well as various exemplary science cases such as observing Earth- and Venus-twins or searching for phosphine in exoplanetary atmospheres.
The Square Kilometre Array (SKA), even in its first phase (SKA Phase 1, or SKA1) will be the largest ground-based astronomical facility ever built, with unprecedented sensitivity in the frequency ranges for local to highly redshifted HI, and future expansion up to 25 GHz. The range of science cases that the SKA telescopes will cater for will also be the largest of any research facility, from the Epoch of Reionization (EoR) and the Cosmic Down (CD), to tests of Einstein’s General Relativity, to finding all detectable pulsars in the Milky Way, and helping with the Cradle of Life case for Astrobiology. In this talk we will go through the different science cases, with emphasis in those with the most cosmological significance, such as EoR, CD, and probing General Relativity. (Talk presented at CosmoAndes 2018.)
Importance of SSPS in SDG and ESG, and importance of antennas in SSPSAdvanced-Concepts-Team
A space solar power satellite system or SSPS can generates electricity without CO2 gas nor harmful debris with competitive cost. So, it should be attached importance in SDG and ESG programs. The SSPS is a huge system working in space so that several key technologies have to be innovated or verified in space before the final manufacture. I will introduce those key technologies in terms of difficulty in applying to SSPS. In a research and development plan, key technologies with more difficulty should be ranked higher. Antennas are typically difficult ones. It is explained how the antenna is challenging compared with the existing antennas on the ground and in space. Finally, I will show you a R&D plan to put SSPS into practical use in about 30 years.
Applications Of Computer Science in AstronomyAhmed Abuzuraiq
A presentations I did for an Astronomy course about the role that computer science plays in in astronomy , Examples included are
Adaptive Optics,Automated Ground Observatory,Galaxies Classifications and Simulations.
American Astronautical Society, Astronauts and Robots: Partners in Space Exploration, May 12-13, 2015 - http://astronautical.org/event/astronauts-robots
The purpose of choosing this topic is to aware you about sentinel satellites that leads to new discoveries and ultimately changes the arena of Remote Sensing.
The presentation introduces remote sensing technology and how it is used in studying atmospheric aerosols. Remote Sensing technology uses the optical property of aerosols to detect the presence and the type of aerosol. The type or the characteristics of an aerosol is determined by seven factors which are interpreted from the satellite image. The satellite image is retrieved from geosynchronous and polar satellites, of which the latter is preferred for aerosol applications.
In addition, features and terminologies associated with remote sensing, satellite and aerosol optical properties are discussed. This project emphasizes on an interactive material that is best supplemented with lecture video. It is not designed to be conventional lecture slide. Point to note: the question mark appearing in bottom of the slides indicates the author raised a question during the lecture.
This presentation was delivered in coming-of-age lecture style, in contrast to old-school conventional style. This presentation stimulates audiences to think and act than a banal display of abstract data. The lecture videos can be found at:
[1] Part-1/2 (52 minutes): https://youtu.be/-O_mYoeg-us
[2] Part-2/2 (51 minutes): https://youtu.be/IhHHHZYcY0o
This presentation is done as a part of graduate course titled Aerosol Mechanics in Spring 2016. The author was pursuing MS in Environmental Engineering Sciences at University of Florida during the making of this project.
Computational Training and Data Literacy for Domain ScientistsJoshua Bloom
Presented at the National Academy of Sciences (11 April 2014, Washington, D.C.) at the workshop "Training Students to Extract Value from Big Data.” Discussion of computational and programming education at UC Berkeley. Emphasis on Python as a glue/gateway language. An advocation for the notion of first teaching "Data Literacy" to domain scientists before teaching Big Data proficiency.
For the full video of this presentation, please visit:
http://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/may-2016-embedded-vision-summit-nasa-keynote
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Larry Matthies, senior research scientist at the NASA Jet Propulsion Laboratory, presents the "Using Vision to Enable Autonomous Land, Sea and Air Vehicles" keynote at the May 2016 Embedded Vision Summit.
Say you’re an autonomous rover and you’ve just landed on Mars. Vexing questions now confront you: “Where am I and how am I moving?” “What obstacles are around me?” “Are the obstacles moving?” “What other objects are around me that matter to my mission?” As it turns out, Earth isn’t that different from Mars in this regard. If you’re an autonomous car or drone, you face similar challenges. You’ve got to find combinations of sensors that work across different illumination, weather, temperature, and vehicle dynamics; processors that fit the size, weight, and power constraints of the system; and algorithms that can answer the questions given the sensors and processors available. In this talk, Matthies gives an overview of autonomous vehicle computer vision applications, explores successful approaches, and illustrates concepts with application examples from applications on Earth and in planetary exploration.
ILOA Galaxy Forum SEA Thailand -- NEO and Space Debris, KirdkaoILOAHawaii
The 4th Regional Galaxy Forum Southeast Asia is taking place at the Science Centre for Education at the Bangkok Planetarium in collaboration between ILOA, National Astronomical Research Institute of Thailand (NARIT) and Geo-Informatics and Space Technology Development Agency (GISTDA).
Thailand is a leader in the region for Astronomy and Satellite Technology.
NARIT is a national research organization for astronomy in Thailand enabling the development of a collaborative research network both regionally and globally, and aiming at developing and strengthening knowledge in astronomy at an international level. They also ally with public and private observatories and other institutions around the World to pursue excellence in scientific research, education and public outreach.
In Situ Geophysical Exploration by Humans in Mars Analog EnvironmentsBrian Shiro
Presented on May 13, 2010 at the University of North Dakota's 997 symposium. Summarizes the research projects I carried out on two analog Mars missions in 2009 and 2010.
This was a talk I gave at CU Boulder SEDs in Nov 2011 to showcase the variety and opportunities for student-run science and engineering experiments on suborbital platforms. The area of suborbital space is rapidly expanding and is set to change how we expand our use of technology for future science and exploration space missions.
Lunar Surface Model Age Derivation: Comparisons Between Automatic and Human C...Sérgio Sacani
Dating young lunar surfaces, such as impact ejecta blankets and terrains associated with recent
volcanic activities, provides critical information on the recent events that shaped the surface of the Moon.
Model age derivation of young or small areas using a crater chronology is typically achieved through manual
counting, which requires a lot of small impact craters to be tediously mapped. In this study, we present the
use of a Crater Detection Algorithm (CDA) to extract crater populations on Lunar Reconnaissance Orbiter—
Narrow Angle Camera (LRO-NAC) and Kaguya Terrain Camera images. We applied our algorithm to images
covering the ejecta blankets of four Copernican impact craters and across four young mare terrains, where
manually derived model ages were already published. Across the eight areas, 10 model ages were derived. We
assessed the reproducibility of our model using two populations for each site: (a) an unprocessed population and
(b) a population adjusted to remove contaminations of secondary and buried craters. The results showed that
unprocessed detections led to overestimating crater densities by 12%–48%, but “adjusted” populations produced
consistent results within <20% of published values in 80% of cases. Regarding the discrepancies observed, we
found no significant error in our detections that could explain the differences with crater densities manually
measured. With careful processing, we conclude that a CDA can be used to determine model ages and crater
densities for the Moon. We also emphasize that automated crater datasets need to be processed, interpreted and
used carefully, in unity with geologic reasoning. The presented approach can offer a consistent and reproducible
way to derive model ages.
Space exploration is brewing to be one of the most sought after fields in today’s world with each country pooling in resources and skilled minds to be one step ahead of the other. The core aspect of space exploration is exoplanet exploration, i.e., by sending unmanned rovers or manned spaceships to planets and celestial bodies within and beyond our solar system to determine habitable planets. Landscape inspection and traversal is the core feature of any planetary exploration mission. It is often a strenuous task to carry out a machine learning experiment on an extraterrestrial surface like the Moon. Consequent lunar explorations undertaken by various space agencies in the last four decades have helped to analyze the nature of the Lunar Terrain through satellite images. The motion of the rovers has traditionally been governed by the use of sensors that achieve obstacle avoidance. In this project we aim to detect craters on the lunar landscape which in turn will be used to determine soft landing sites on the lunar landscape for exploring the terrain, based on the classified lunar landscape images.
American Astronautical Society, Astronauts and Robots: Partners in Space Exploration, May 12-13, 2015 - http://astronautical.org/event/astronauts-robots
In this paper with the reference of NASA’s MARS Curiosity Rover, this project is meant for a low cost, lightweight and small size unmanned ground vehicle (UGV) which is controlled by NI-myRIO a hardware component of National Instruments can be used for surveying and determining the natural conditions for living beings like identification of gases, collection of picture samples etc., It consists of six individual motors with lightweight chassis for achieving various movements of rover, gas sensors, camera with servos, long-lasting power supply with its required communication tools. The Six wheeled Rover with three or more suspension alignments will move and collect various samples for identification of gases and taking pictures around the astronomical areas automatically by the automated movements.
The Future of Mars Exploration: A Tale of Perseverance and CuriosityData Con LA
Data Con LA 2020
Description
The Mars 2020 Rover sets the stage for Mars Sample return and continues NASA's explorarion of the red planet. Dr. Sengupta will discuss the scientific goals and unique technology challenges that will bring humanity closer to setting foot on the surface of Mars than ever before.
Speaker
Anita Sengupta, University of Southern California, Research Professor
Similar to FDL 2017 Lunar Water and Volatiles (20)
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
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 .
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.
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.
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.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
1. Automated Crater Detection
Using Deep Learning
NASA FDL Lunar Volatiles Team
D. Backes, E. Bohacek, A. Dobrovolskis, T. Seabrook
Gravity Recovery and Interior Laboratory (GRAIL) mission, NASA Goddard Space Flight Center: https://svs.gsfc.nasa.gov//vis/a000000/a004100/a004175/
1
4. Tony Dobrovolskis
Planetologist
SETI Institute
Dietmar Backes
Geoinformatics
Université du Luxembourg
Eleni Bohacek
Computer Vision
and Planetary Science
University College London
Timothy Seabrook
Autonomous Intelligent Machines
& Systems
University of Oxford
FDL Space Resources Team
5.
6. Where is water on the moon?
Simulated annual average near-surface temperatures
Paige et al., Science 330 (2010 ); www.sciencemag.org
● Craters near the poles
● Some floors of these craters never
see the sun
● Permanently Shadowed Regions
(PSRs)
7. Speyerer E. J., S. J. Lawrence, J. D. Stopar, P. Gläser, M. S. Robinson, B. L. Jolliff (2016)
via http://lroc.sese.asu.edu
Permanently Shadowed Regions
8. Missions are being planned for In Situ measurements
We learned that Mission Planners lack adequate maps.
Credit: NASA
9. Mapping on the Moon:
Reconnaissance Missions since 1960’s
Plethora of Mapping data
Lunar Reconnaissance Orbiter mission since 2009:
10. Mapping Quality
Lunar Orbiter Laser Altimeter
Digital Elevation Model (LOLA DEM), 20 m resolution
Narrow Angle Camera (NAC)
Optical images, 0.5 m resolution
12. Problem Summary
● Most of lunar water is in PSRs at the poles
● Mapping at the poles is problematic
○ Co-registration issues
○ Artifacts
○ Image illumination
● Labour intensive data preparation is required
before meaningful mission planning
can be conducted
Nobile Crater: optical image mosaic overlaid over DEM
15. Crater Detection at Present
● ~77 crater detection algorithms
published as of 2011 (Salamunićcar
et al.)
● Rarely adopted by larger community
● Nearly all crater ID done by hand
19. 1. A NEW Features Dataset
18000 Labelled DEM Tiles
16000 Labelled Polar NAC Tiles
6000 Labelled Equatorial NAC Tiles
2800 Annotated DEM craters
450 Annotated NAC craters
And many tens of thousands unlabelled...
29. Our Grand Vision
A toolkit for automated feature detection
Make planning a moon mission as simple as putting a satellite in orbit today
Building upon the achievements to date, an open source software suite will:
● Enable contributions and enhancements by a wider community
● Expand crater detection to boulders, cliffs, and other features
● Enhance crater detection with additional classification parameters
● Empower planetary scientists to perform great work