Thermal expansion is the change in dimensions of a material due to a change in temperature. Most materials expand when heated and contract when cooled. The factors that affect thermal expansion are the amount of temperature change, the type of material, and the original dimensions. Thermal expansion can be linear, affecting length, or volumetric, affecting the overall volume. Different materials have different coefficients of thermal expansion that quantify how much the material expands or contracts with temperature changes.
heat conduction and its mechanisms ,thermal conductivity,Fourier law,variation of thermal conductivity with temperature in metals and solids,steady and unsteady states,biot and Fourier numbers and their significance, Lumped heat analysis
heat conduction and its mechanisms ,thermal conductivity,Fourier law,variation of thermal conductivity with temperature in metals and solids,steady and unsteady states,biot and Fourier numbers and their significance, Lumped heat analysis
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.
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.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
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.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
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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/
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.
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.
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.
2. • Change in the dimension(s) of a substance
due to change in temperature.
• Most materials expand when its
temperature increases and contract when
its temperature decreases.
THERMAL EXPANSION
3. 1. TEMPERATURE
• Higher change in temperature, the
higher the expansion
• ΔT for the symbol
FACTORS AFFECTING
THERMAL EXPANSION
4. 2. KIND OF MATERIAL (α)
• Quantified by a constant value for
coefficient of thermal expansion for
some materials
• The higher the coefficient, the higher
the expansion
FACTORS AFFECTING
THERMAL EXPANSION
5. 3. ORIGINAL DIMENSION
• Greater original dimension, greater the
expansion.
• L for linear
• A for area
• V for volume
FACTORS AFFECTING
THERMAL EXPANSION
7. •The expansion in length of solid
bodies on heating
•The change in length is directly
proportional to the change in
temperature : ΔL ≈ ΔT
LINEAR EXPANSION
8. ΔL = α·L·ΔT 0
Change in
dimension
Coefficient of
expansion
Original
length
Change in
temperature
9. MATERIAL a per °C a per °F
1. Aluminum 23 x ퟏퟎ−ퟔ 13x ퟏퟎ−ퟔ
2. Brass 19x ퟏퟎ−ퟔ 11x ퟏퟎ−ퟔ
3. Copper 17x ퟏퟎ−ퟔ 9.3x ퟏퟎ−ퟔ
4. Germanium 6.0x ퟏퟎ−ퟔ 3.3x ퟏퟎ−ퟔ
5. Glass, ordinary 9x ퟏퟎ−ퟔ 5x ퟏퟎ−ퟔ
6. Glass, Pyrex 3.3x ퟏퟎ−ퟔ 1.8x ퟏퟎ−ퟔ
7. Invar (nickel-steel alloy) 0.9x ퟏퟎ−ퟔ 0.5x ퟏퟎ−ퟔ
8. Iron 12x ퟏퟎ−ퟔ 6.6x ퟏퟎ−ퟔ
9. Platinum 9.0x ퟏퟎ−ퟔ 5.0x ퟏퟎ−ퟔ
10. Fused quartz 0.5x ퟏퟎ−ퟔ 0.27x ퟏퟎ−ퟔ
11. Silicon 2.4x ퟏퟎ−ퟔ 1.3x ퟏퟎ−ퟔ
12. Steel 11x ퟏퟎ−ퟔ 6.1x ퟏퟎ−ퟔ
13. Tungsten 4.4x ퟏퟎ−ퟔ 2.5x ퟏퟎ−ퟔ
14. Uranium 15x ퟏퟎ−ퟔ 8.2x ퟏퟎ−ퟔ
15. Wood, along grain (3 to 6) x ퟏퟎ−ퟔ (2 to 4) x ퟏퟎ−ퟔ
16. Wood, across grain (35-60) x ퟏퟎ−ퟔ (20 to 35) x ퟏퟎ−ퟔ
10. •A copper bar is 8.0 ft long at
68°F and has an expansivity
of 9.3 x ퟏퟎ−ퟔ/°F. What is its
increase in length when
heated to 110°F?
Exercise #1
11. •A steel plug has a diameter
of 10 cm at 30.0°C. At what
temperature will the
diameter be 9.986 cm? What
is the required temperature?
Exercise #2
12. •A silicon gel with a length of
132 cm was heated at 20°C.
If heated to 100°C, what
would be the change in
dimension?
Exercise #3
13. • Sometimes called the “cubic
expansion”
• The volume of an object changes
when its temperature changes.
VOLUME EXPANSION
15. LIQUID β, per °C β, per °F
Alcohol,
ethyl
1.0xퟏퟎ−ퟑ 6.1xퟏퟎ−ퟒ
Mercury 1.8xퟏퟎ−ퟒ 1.0xퟏퟎ−ퟒ
Water (15-
3.7xퟏퟎ−ퟒ 2.0xퟏퟎ−ퟒ
100°)
VOLUME EXPANSIVITY OF
LIQUIDS
16. • A glass flask whose volume is 1000
cm3 at 0.0 °C is completely filled with
mercury at this temperature. When
flask and mercury are warmed to 80
°C, 12.5cm3 of mercury overflow.
Compute the change in volume.
Exercise #4
17. •A mug measuring 90cm3 at
45°C temperature, contains
ethyl alcohol. At what
temperature will the alcohol
flow 92cm3?
Exercise #5
19. METHODS OF HEAT TRANSFER
• Conduction
- use of thermal conductor (ex.
Metals)
• Convection
- use of fluids (liquids or gas)
• Radiation
- no medium, uses EM wave to
transfer heat
20. • Heat has traveled through the metal rod
• Metals have many free electrons. They are
good heat conductors.
• Non-metals such as wood or cloth have
few free electrons. They are poor heat
conductors or thermal insulator
CONDUCTION
21. If Q represents the heat flow in J/s (watts), then
Q = k A (T1 – T2) / d
Where:
Q rate of heat flow (in J/s or W)
k thermal conductivity (in W/m K)
A area over which heat is passing (in m2)
T1 hot face temperature (in K)
T2 cold face temperature (in K)
d thickness or distance between
hot face and cold face (in m)
22. Substance Thermal Conductivity k (푾/풎 푲 )
Aluminum 205
Copper 385
Iron and Steel 50.2
Silver 406
Transformer Oil 0.18
Water 0.57
Air 0.024
Brick 0.71
Concrete 0.8
Styrofoam 0.01
Wood, oak 0.15
Vacuum 0
23. • Calculate the heat transfer through a
flat copper 200mm by 300mm wide
and 25mm thick when the surface
temperatures are 150°C and 55°C.
Example #1
24. • A Styrofoam box used to keep drinks
cold at a picnic has a total area of 0.80
m2 and wall thickness of 2.0 cm. it is
filled with ice, water, and cans of
Omni-Cola at 0°C. What is the rate of
heat flow into the box if the
temperature of the outside wall is
30°C?
Example #2
25. • A silver bar with length of 200 cm with
a cross sectional area of 4 cm2 is put in
contact with steam at 100°C at one end
and with water at 20°C on the other
end. Compute for the heat current if
the silver bar is perfectly insulated.
Example #3
26. • The outer surface of a boiler is covered with
insulating material of thermal conductivity 0.04
W/m K. It is 125 mm thick and has a surface
area of 50 m2. The inside edge of the insulating
material has an average temperature of 423 K
and the temperature of the outside surface is 303
K. Calculate the heat loss through the insulation
per hour.
Example #4
27. • Transfer of heat by mass motion of a
fluid from one region of space to
another.
Example
- house cooling and heating system
- cooling system of automobile
CONVECTION
28. • Forced convection – if the fluid moves by using a pump.
Example:
- blood circulation (heart-pump)
• Natural convection or free convection – if the flow is
caused by difference in density.
Example:
- daily weather
CONVECTION
29.
30. • When the fluid outside the solid
surface is in forced or natural
convective motion, the expression of
the rate of heat transfer from the solid
to the fluid, or vice versa, is as follows:
Q = h A (Ts – Tf)
CONVECTION
31. Q = rate of heat transfer convection in J/s or W
A = Area of heat transfer, m2
Ts = The temperature of the solid surface, K
(hot)
Tf = The average temperature of the fluid, K
(cold)
h = The convection heat transfer coefficient,
W/m2/K
CONVECTION
33. • A refrigerator stands in a room where
air temp. is 20°C. The surface
temperature on the outside of ref is
16°C. The sides are 10풎ퟐ thick. The
heat transfer coefficient is 10W/풎ퟐk.
What will be the heat transfer rate?
EXAMPLE #1
34. • Calculate the heat transfer per square
meter between a fluid with a bulk
temperature of 66°C with a wall, with a
surface temperature of 25°C given h = 5
W/풎ퟐK.
EXAMPLE #2
35. • Transfer of heat by electromagnetic waves
such as visible light, infrared and ultraviolet
radiation.
• Most heat are transferred through radiation
Example:
- heat from the sun
- heat from charcoal grill
RADIATION
36. Q = 흈 ε A (Tퟐퟒ – Tퟏퟒ)
Where:
Q – is the heat radiated from the hot surface (W)
ε – is the emissivity
A – is the surface area radiating heat (m2)
T2 – higher temp (K)
T1 – lower temp (K)
흈 – Stefan-Boltzmann constant= 56.7xퟏퟎퟗW/풎ퟐ푲ퟒ
RADIATION
37. Q =
흈푨 (푻ퟏퟒ−푻ퟐퟒ)
RADIATION
ퟏ
εퟏ
ퟏ
εퟐ
+
If two bodies have different
emissivities.
39. •A body with 266 K temperature
was radiated by aluminum paints
having 399 K temperature. Per 2
square meter, compute the heat
radiated.
EXAMPLE #1
40. • An oxidized aluminum and
polished aluminum foils were
both radiated by each other. The
first body is 54°C and the other
one is 39°C. Calculate the heat
transfer in 23 square meter.
EXAMPLE #2