Seismic waves are waves of energy caused by the sudden breaking of rock within the Earth or explosions. There are two main types of seismic waves: body waves and surface waves. Body waves include P waves and S waves, which travel through the Earth's interior. Surface waves such as Love waves and Rayleigh waves travel along the Earth's surface and cause the most shaking during an earthquake. Seismic waves are recorded by seismographs and can provide information about the Earth's interior structure.
Seismic waves are the waves of energy caused by the sudden breaking of rock within the earth or an explosion.
Response of material to the arrival of energy fronts released by rupture.
Energy that travels through the earth and is recorded on seismographs.
Seismic waves are the waves of energy caused by the sudden breaking of rock within the earth or an explosion.
Response of material to the arrival of energy fronts released by rupture.
Energy that travels through the earth and is recorded on seismographs.
What is fault?
Fault terminology
Fault plane:
Hanging wall
Foot wall
Slip and separation:
Separation
Classification of faults
Apparent movement as basis
Normal faults
Graben
Reverse faults:
Strike – slip faults
On the basis of altitude (dip and strike)
Mode of occurrences as basis
Parallel faults
Enechelon faults
Peripheral faults
Radial faults
On the basis of slip
Engineering consideration of faults
Earthquake waves and types of faults caused by earthquake Udayram Patil
unstable movement of ground is known as earthquake . Earthquake is transferred by waves known as Primary waves and secondary waves.
Effect of earthquake includes faults. There are three types of faults caused by earthquake .
What is fault?
Fault terminology
Fault plane:
Hanging wall
Foot wall
Slip and separation:
Separation
Classification of faults
Apparent movement as basis
Normal faults
Graben
Reverse faults:
Strike – slip faults
On the basis of altitude (dip and strike)
Mode of occurrences as basis
Parallel faults
Enechelon faults
Peripheral faults
Radial faults
On the basis of slip
Engineering consideration of faults
Earthquake waves and types of faults caused by earthquake Udayram Patil
unstable movement of ground is known as earthquake . Earthquake is transferred by waves known as Primary waves and secondary waves.
Effect of earthquake includes faults. There are three types of faults caused by earthquake .
is one of the first steps in
searching for oil and gas resources that directly
affects the land and the landowners Seismic surveys are like sonar on steroids They are based on recording the time it takes for sound waves generated by controlled energy sources .The survey usually requires people and machinery
to be on private property and may result in
disturbances of the land such as the clearing of
trees
This presentation contains the brief introduction to earthquake,its effect,causes etc..
And case study of kuchha(bhuj),Gujarat Earthquake on 26th january,2001
Earthquakes earthquake measurements slides and pdf filesAmjad Ali Soomro
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Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
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.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
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.
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 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.
2. Seismic Waves
These are the waves of energy caused by the
sudden breaking of rock within the earth or an
explosion. They are the energy that travels through
the earth and recorded on seismographs.
They can be distinguished by a number of
properties including the speed the waves travel, the
direction that the waves move particles as they pass
by, where and where they don't propagate.
3. Types of Seismic Waves
1. Body waves - arrive before the surface
waves emitted by an earthquake. These waves
are of a higher frequency than surface waves.
2. Surface waves - are of a lower frequency
than body waves, and are easily distinguished
on a seismogram as a result. Though they arrive
after body waves, it is surface waves that are
almost entirely responsible for the damage and
destruction associated with earthquakes. This
damage and the strength of the surface waves
are reduced in deeper earthquakes.
4. Body Waves
P waves (primary waves)
This is the fastest kind of seismic wave, and,
consequently, the first to 'arrive' at a seismic
station.
Can move through solid rock and fluids, like
water or the liquid layers of the earth.
Subjected to a p wave, particles move in the
same direction that the wave is moving in, which is
the direction that the energy is traveling in, and is
sometimes called the 'direction of wave
propagation'.
5. Body Waves
S Waves (secondary waves)
It is slower than a P wave and can only
move through solid rock, not through any
liquid medium. It is this Property of S waves
that led seismologists to conclude that the
Earth's outer core is a liquid.
They move rock particles up and down,
or Side-to-side--perpendicular to the
direction that the wave is traveling in (the
direction of wave propagation).
7. Surface Waves
Love Waves
Named after A.E.H. Love, a British
mathematician who worked out the
mathematical model for this kind of wave
in 1911.
It's the fastest surface wave and
moves the ground from side-to-side.
Confined to the surface of the crust, love
waves produce entirely horizontal motion.
8. Surface waves
Rayleigh waves
Named for John William Strutt, Lord Rayleigh,
who mathematically predicted the existence of this
kind of wave in 1885.
Rolls along the ground just like a wave rolls
across a lake or an ocean. Because it rolls, it moves
the ground up and down, and side-to-side in the
same direction that the wave is moving.
Most of the shaking felt from an earthquake is
due to the Rayleigh wave, which can be much larger
than the other waves.