This document discusses different aspects of matter. It defines matter as anything that has mass and takes up space, and notes that matter can exist in solid, liquid, or gas states. It then covers properties of matter like mass, volume, density, and thermal conductivity. The document classifies matter as either pure substances or mixtures, and describes different physical and chemical changes that matter can undergo.
Scientists like to classify things. One way that scientists classify matter is by its composition. Ultimately, all matter can be classified as mixtures, elements and compounds...
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.
(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.
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
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/
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.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
What is greenhouse gasses and how many gasses are there to affect the Earth.
Matter
1. MATTERMATTER
Definition of matter.Definition of matter.
Properties of matter.Properties of matter.
Classification of matter.Classification of matter.
Physical states of matter.Physical states of matter.
Physical changes in matter.Physical changes in matter.
Chemical changes in matter.Chemical changes in matter.
2. WHAT IS MATTER?WHAT IS MATTER?
Matter is everything around us that hasMatter is everything around us that has
massmass and takes upand takes up spacespace. Matter can be. Matter can be
solid, liquid or gas.solid, liquid or gas. RocksRocks,, living thingsliving things,,
waterwater andand airair are examples of matter.are examples of matter.
3. Matter is made up of tiny particles, calledMatter is made up of tiny particles, called
atomsatoms. Some atoms join together to make. Some atoms join together to make
groups known asgroups known as moleculesmolecules..
WHAT IS MATTER?WHAT IS MATTER?
4. PROPERTIES OF MATTERPROPERTIES OF MATTER
MASS
THERMAL
CONDUCTIVITY
SOLUBILITY
HARDNESS
DENSITY
VOLUME
PROPERTIESPROPERTIES
OF MATTEROF MATTER
5. PROPERTIES OF MATTERPROPERTIES OF MATTER
MASSMASS
Mass is the amount of matter in an object.Mass is the amount of matter in an object.
We measure mass in grams or kilograms.We measure mass in grams or kilograms.
An apple has greater
mass than a grape.
6. PROPERTIES OF MATTERPROPERTIES OF MATTER
VOLUMEVOLUME
Volume is the amount of space an objectVolume is the amount of space an object
occupies. Bigger objects have moreoccupies. Bigger objects have more
volume than smaller objects. We measurevolume than smaller objects. We measure
volume in litres or mililitres.volume in litres or mililitres.
A car has larger volume
than a motorcycle.
7. THERMAL CONDUCTIVITYTHERMAL CONDUCTIVITY
Thermal conductivity is the ability ofThermal conductivity is the ability of
certain objects to conduct or transfer heat.certain objects to conduct or transfer heat.
Most metals are good heat conductors.Most metals are good heat conductors.
PROPERTIES OF MATTERPROPERTIES OF MATTER
8. SOLUBILITYSOLUBILITY
Solubility is the ability of a substance toSolubility is the ability of a substance to
dissolve in other substance and form adissolve in other substance and form a
solution.solution.
Sugar dissolves well in water, whereas oil does not.
PROPERTIES OF MATTERPROPERTIES OF MATTER
9. HARDNESSHARDNESS
Hardness is the scratch-resistance of aHardness is the scratch-resistance of a
solid.solid.
Diamonds are the hardest natural solids.
PROPERTIES OF MATTERPROPERTIES OF MATTER
10. DENSITYDENSITY
Density is the amount of matter in a volume. We measure density in kilograms per litre (Kg/l)Density is the amount of matter in a volume. We measure density in kilograms per litre (Kg/l)
density= mass/volumedensity= mass/volume
Density explains why some objects float in water while others sink.Density explains why some objects float in water while others sink.
PROPERTIES OF MATTERPROPERTIES OF MATTER
11. PROPERTIES OF MATTERPROPERTIES OF MATTER
DENSITYDENSITY
Does itDoes it floatfloat or does itor does it sinksink? Why?? Why?
densitydensity
corkcork 0,25 kg/l0,25 kg/l
waterwater 1,00 kg/l1,00 kg/l
ironiron 7,90 kg/l7,90 kg/l
Cork has a lower density than water.
It floats!
Iron has a higher density than water.
It sinks!
12. CLASSIFICATION OF MATTERCLASSIFICATION OF MATTER
According to its composition, matter canAccording to its composition, matter can
be classified into pure substances andbe classified into pure substances and
mixtures.mixtures.
Pure substancesPure substances are made up of onlyare made up of only
one type of matter.one type of matter.
MixturesMixtures are made up of two or moreare made up of two or more
pure substances.pure substances.
14. Sand or chocolate milk are examples of mixtures.
Heterogeneous mixture
Homogeneous mixture
15. SEPARATING DIFFERENT TYPESSEPARATING DIFFERENT TYPES
OF MIXTURESOF MIXTURES
FiltrationFiltration.. It´s used to separateIt´s used to separate solidssolids fromfrom liquidsliquids inin
heterogeneousheterogeneous mixtures.mixtures.
EvaporationEvaporation.. It´s used to separateIt´s used to separate solidssolids fromfrom liquidsliquids inin
homogeneoushomogeneous mixtures.mixtures.
DistillationDistillation.. It´s used to separateIt´s used to separate liquidsliquids inin homogeneoushomogeneous
mixtures that boil at different temperatures.mixtures that boil at different temperatures.
16. THE PHYSICAL STATES OFTHE PHYSICAL STATES OF
MATTERMATTER
SolidsSolids have a fixed volume and shape.have a fixed volume and shape.
LiquidsLiquids have a fixed volume, but not a fixedhave a fixed volume, but not a fixed
shape.shape.
GasesGases don´t have a fixed volume or shape.don´t have a fixed volume or shape.
18. A new substance is produced.A new substance is produced.
OxidationOxidation.. When substances combine withWhen substances combine with
oxigen. It produces rustoxigen. It produces rust
CombustionCombustion.. When objects or substancesWhen objects or substances
are burned. It produces smoke and ashes.are burned. It produces smoke and ashes.
CHEMICAL CHANGES IN MATTERCHEMICAL CHANGES IN MATTER