Methane Maps of DISH and Flower Mound (Texas) - Likely Indication of Benzene ...Picarro
This map shows results of drive-by emissions sampling in DISH, Texas and neighboring Flower Mound as well as other parts of the Dallas-Fort Worth Area. The large plumes are possible indications of emissions of toxic VOCs from natural gas compression and storage facilities.
El 12 de mayo de 2017 celebramos en la Fundación Ramó Areces una jornada con IS Global y Unitaid sobre enfermedades transmitidas por vectores, como la malaria, entre otras.
DRI innovates research with airborne platforms. Applications include multispectral monitoring for climate change, land management, atmospheric cloud physics, field soil stability and spectral measurements with infrared images, wildfire monitoring and data visualization, and advanced cloud seeding technologies.
Barbara Ryan @OECD - 21 Sept 2015 - Water Policy in the Age of Big DataOECD Governance
Presentation of Dr. Barbara Ryan [Secretariat Director of the Intergovernmental Group on Earth Observations] at the OECD event "Water Policy in the Age of Big Data on 21 September 2015.
Methane Maps of DISH and Flower Mound (Texas) - Likely Indication of Benzene ...Picarro
This map shows results of drive-by emissions sampling in DISH, Texas and neighboring Flower Mound as well as other parts of the Dallas-Fort Worth Area. The large plumes are possible indications of emissions of toxic VOCs from natural gas compression and storage facilities.
El 12 de mayo de 2017 celebramos en la Fundación Ramó Areces una jornada con IS Global y Unitaid sobre enfermedades transmitidas por vectores, como la malaria, entre otras.
DRI innovates research with airborne platforms. Applications include multispectral monitoring for climate change, land management, atmospheric cloud physics, field soil stability and spectral measurements with infrared images, wildfire monitoring and data visualization, and advanced cloud seeding technologies.
Barbara Ryan @OECD - 21 Sept 2015 - Water Policy in the Age of Big DataOECD Governance
Presentation of Dr. Barbara Ryan [Secretariat Director of the Intergovernmental Group on Earth Observations] at the OECD event "Water Policy in the Age of Big Data on 21 September 2015.
Presentation by ICOS DG Werner Kutsch at the UNFCCC Earth Information Day in UN COP22 on Tue 8 November 2016.
See the Earth Information Day programme: http://unfccc.int/science/workstreams/items/9949.php
Study of the concepts of group organizational dynamics at Baxter India Ltd. The study was conducted by collecting primary and secondary data from various sources and understanding how the organization manages its human resources using concepts of group and organization dynamics. During the course of study we found that the organization follows a rather flat structure which fosters open communication thereby encouraging functional conflicts and open dialogue.
Researchers at the Desert Research Institute (DRI) are exploring ways in which unmanned aircraft systems are increasingly being used in civilian government work as well as the private sector for use in applications as diverse as cloud seeding to fighting forest fires.
GRover: developing sensors for vineyard use Amanda Woods
GRover: developing sensors for vineyard use by Everard Edwards, Matt Siebers, Mark Thomas & Rob Walker, CSIRO Australia. Presented at the Precision Viticulture of the Riverland event on 1st Dec 2016. This presentation includes information on sensors for the vineyard.
Toward a Global Interactive Earth Observing CyberinfrastructureLarry Smarr
05.01.12
Invited Talk to the 21st International Conference on Interactive Information Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology Held at the 85th AMS Annual Meeting
Title: Toward a Global Interactive Earth Observing Cyberinfrastructure
San Diego, CA
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.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
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.
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.
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.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.
Autonomous Wireless Sensor Networks: from development to long term implementation
1. +
Autonomous Wireless Sensor Networks: from
development to long term implementation
Prof. Dr. Arturo Sanchez-Azofeifa1 (arturo.sanchez@ualberta.ca)
Saulo Castro1, Mauricio Vega-Araya2
1. Alberta Centre for Earth Observation Sciences (CEOS)
University of Alberta
2. Univesidad Nacional de Costa Rica
4. +
Applications of some WSN in the
literature
Application Location #,sensor,nodes Institution Year Duration Variables
Links,between,weather,&,
hydrology:,catchment?
scale,monitoring Hawaii not,given U,Hawaii 2008 7,months
water:,pH,,temp,,
conductivity,,pO2,,
turbidity,,water,level
Soil,water,content
Almkerk,,
Netherlands 18
Twente,&,
Wageningen 2009 6,months
soil,moisture,
(Decagon)
Climate,,broadly Amazon UNAMA 2006
Petrel,nesting Maine 32
Intel,&,UC,
Berkeley 2002 7,months
light,,temp,,IR,,RH,,
barometric,pressure
Sediment Kansas 2 Kansas,State 2008 8,months opacity
Center?pivot,irrigation Texas 17 USDA 2008 1,month
IR,thermometer,for,
canopy,temp,,air,
temp,,RH,,solar,
radiation,,windspeed,,
rainfall
Traveling,irrigation Montana 5 USDA 2008 4,months
temp,,RH,,wind,
speed,,wind,direction
After MacGregor et al. 2013
5. +
• Measurements at many spatial and
temporal scales
• Changing data needs (usually sparse)
• Increased spatial coverage in
heterogeneous environments.
• Synchronized sampling across sensors.
• Real-time data retrieval capabilities.
• Landscape scale remote sensing
validation of biophysical products.
• Reduced human effort with increased
information output.
• Non-intrusive!
Advantages ofWSN in monitoring
7. + Sensor Network Cyberinfrastructure
n Near real-time data management for Wireless
Sensor Networks
n Simplified data/trend visualization
n Data mining: web data/metadata for cross-
discipline social network research cooperation and
analysis
9. + Santa Rosa Environmental
Monitoring Super Site, Costa Rica
10. Santa Rosa National Park,
Environmental Monitoring
Super Site, Guanacaste,
Costa Rica:
• 10 billion data points/year
• CO2/H20 fluxes (vegetation and
soil)
• Hyperspectral canopy
observations
• Wireless Sensor Networks
• On-line/Real time
communication via satellite
technology
• Drone research
• Micro-Satellite testing site
(AlbertaSat)
• Atmospheric Sounding
calibration site
• NASA Calibration/Validation site
• Airborne and ground-based
LiDAR
11. +Santa Rosa Environmental Monitoring
Super Site: NEE and APAR from WSNs.
0
0.2
0.4
0.6
0.8
1
1.2
2013-161
2013-185
2013-209
2013-233
2013-257
2013-281
2013-305
2013-329
2013-353
2014-09
2014-33
2014-57
2014-81
2014-105
2014-129
2014-153
2014-177
2014-201
2014-225
2014-249
2014-273
2014-297
2014-321
2014-345
2015-01
2015-25
2015-49
2015-73
2015-97
2015-121
2015-145
2015-169
2015-193
2015-217
2015-241
2015-265
2015-289
2015-313
2015-337
2015-361
2016-017
2016-041
2016-065
2016-089
FPAR
Terra MODIS v Environet FPAR Raw
MODIS FPAR Raw
Environet FPAR Score
12. +
0.00
0.10
0.20
0.30
0.40
0.50
0.60
0.70
0.80
0.90
1.00
0 0.2 0.4 0.6 0.8 1
EnviroNetFPARWSNEstimate
MODIS FPAR Estimate
Santa Rosa Environmental Monitoring
Super Site: FPAR MODIS Comparison
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.2 0.4 0.6 0.8 1
EnvironetFPARWSNEstimate
MODIS FPAR Estimate
MODIS TERRA MODIS AQUA
17. +
Current fact finding
Analyze data in motion – before it is stored
Low latency paradigm, push model
Data driven – bring the data to the query
Historical fact finding
Find and analyze information stored on disk
Batch paradigm, pull model
Query-driven: submits queries to static data
Traditional Computing Stream Computing
Query Data Results Data Query Results
Stream computing – Analyzing data in motion