This document summarizes a study that used Landsat-5 TM satellite imagery to detect changes in forest areas caused by a large wildfire in Los Angeles, California in 2009. The methodology used the Normalized Difference Vegetation Index (NDVI) and both unsupervised and supervised image classification techniques to analyze imagery from before and after the fire. Change detection analysis between 2007 and 2009 clearly identified locations affected by the forest fire and showed that multi-spectral Landsat data can effectively delineate forest fire impacts.
Dr Jerome O Connell - presentation made at various conferences throughout Europe as part of PhD which was funded by the EPA under the STRIVE Research Programme 2007-2013 (2007-PhD-ET-2)
Dr Jerome O Connell - presentation made at various conferences throughout Europe as part of PhD which was funded by the EPA under the STRIVE Research Programme 2007-2013 (2007-PhD-ET-2)
Comparison of Tropical Thunderstorm Estimation between Multiple Linear Regres...journalBEEI
Thunderstorms are dangerous and it has increased due to highly precipitation and cloud cover density in the Mesoscale Convective System area. Climate change is one of the causes to increasing the thunderstorm activity. The present studies aimed to estimate the thunderstorm activity at the Tawau area of Sabah, Malaysia based on the Multiple Linear Regression (MLR), Dvorak technique, and Adaptive Neuro-Fuzzy Inference System (ANFIS). A combination of up to six inputs of meteorological data such as Pressure (P), Temperature (T), Relative Humidity (H), Cloud (C), Precipitable Water Vapor (PWV), and Precipitation (Pr) on a daily basis in 2012 were examined in the training process to find the best configuration system. By using Jacobi algorithm, H and PWV were identified to be correlated well with thunderstorms. Based on the two inputs that have been identified, the Sugeno method was applied to develop a Fuzzy Inference System. The model demonstrated that the thunderstorm activities during intermonsoon are detected higher than the other seasons. This model is comparable to the thunderstorm data that was collected manually with percent error below 50%.
Historical and Contemporary Trends in the Size, Drift, and Color of Jupiterʼs...Sérgio Sacani
Observations of Jupiter’s Great Red Spot (GRS) span more than 150 years. This allows for careful measurements
of its size and drift rate. High spatial resolution spacecraft data also allow tracking of its spectral characteristics and
internal dynamics and structure. The GRS continues to shrink in longitudinal length at an approximately linear rate
of 0°.194 yr−1 and in latitudinal width at 0°.048 yr−1. Its westward drift rate (relative to System III W. longitude)
has increased from ∼0°.26/day in the 1980s to ∼0°.36/day currently. Since 2014, the GRS’s short wavelength
(<650 nm) reflectance has continued to decrease, while it has become brighter at 890 nm, indicating a change in
clouds/haze at high altitudes. In addition, its north–south color asymmetry has decreased, and the dark core has
become smaller. Internal velocities have increased on its east and west edges, and decreased on the north and south,
resulting in decreased relative vorticity and circulation. The GRS’s color changes from 2014 to 2017 may be
explained by changes in stretching vorticity or divergence acting to balance the decrease in relative vorticity.
Comparison of Tropical Thunderstorm Estimation between Multiple Linear Regres...journalBEEI
Thunderstorms are dangerous and it has increased due to highly precipitation and cloud cover density in the Mesoscale Convective System area. Climate change is one of the causes to increasing the thunderstorm activity. The present studies aimed to estimate the thunderstorm activity at the Tawau area of Sabah, Malaysia based on the Multiple Linear Regression (MLR), Dvorak technique, and Adaptive Neuro-Fuzzy Inference System (ANFIS). A combination of up to six inputs of meteorological data such as Pressure (P), Temperature (T), Relative Humidity (H), Cloud (C), Precipitable Water Vapor (PWV), and Precipitation (Pr) on a daily basis in 2012 were examined in the training process to find the best configuration system. By using Jacobi algorithm, H and PWV were identified to be correlated well with thunderstorms. Based on the two inputs that have been identified, the Sugeno method was applied to develop a Fuzzy Inference System. The model demonstrated that the thunderstorm activities during intermonsoon are detected higher than the other seasons. This model is comparable to the thunderstorm data that was collected manually with percent error below 50%.
Historical and Contemporary Trends in the Size, Drift, and Color of Jupiterʼs...Sérgio Sacani
Observations of Jupiter’s Great Red Spot (GRS) span more than 150 years. This allows for careful measurements
of its size and drift rate. High spatial resolution spacecraft data also allow tracking of its spectral characteristics and
internal dynamics and structure. The GRS continues to shrink in longitudinal length at an approximately linear rate
of 0°.194 yr−1 and in latitudinal width at 0°.048 yr−1. Its westward drift rate (relative to System III W. longitude)
has increased from ∼0°.26/day in the 1980s to ∼0°.36/day currently. Since 2014, the GRS’s short wavelength
(<650 nm) reflectance has continued to decrease, while it has become brighter at 890 nm, indicating a change in
clouds/haze at high altitudes. In addition, its north–south color asymmetry has decreased, and the dark core has
become smaller. Internal velocities have increased on its east and west edges, and decreased on the north and south,
resulting in decreased relative vorticity and circulation. The GRS’s color changes from 2014 to 2017 may be
explained by changes in stretching vorticity or divergence acting to balance the decrease in relative vorticity.
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.
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.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
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.
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/
3. Introduction
Forest fire is a frequent and constant natural disaster in California, USA
The Station Fire (26 August -16 October, 160,577acres (251sqmi; 64,983ha)
209 structures destroyed, including 89 homes
Two fire fighters were killed on 30August
The blaze threatened 12,000 structures in the National Forest and the nearby
communities
5. Data Used
Landsat-5 TM image of October, 2007 and Landsat5 TM image of October, 2009
with 0% cloud
Landsat-5Thematic Mapper(TM), from USGS Landsatachieve
5 bands excluding band 6 and band 7.
8. Methodology continue
Clip target area for before and after fire both the 2007 and 2009 Image
Normalized Difference in Vegetation Index (NDVI)
Supervised Classification
Unsupervised Classification
Extraction of Forest
Change Detection
Final output
13. Perform Change Detection
Change detection is a process that measures how the attributes of a particular area
have changed between two or more time periods
Year ‘07 and ’08 extracted forest area as input file
14.
15.
16. Result
The Los Angles forest fire has occurred in
September, 2009.
Using NDVI clearly showed the real land cover in
the Los Angels forest area and showed the areas
affected by fire.
Results of image classification and change
detection show very clearly the location affected
by forest fire
Multi spectral Landsatdata can be used for
delineating the forest fires
