This power point slides presents how the electrons and protons were discovered together with the personalities involved with this scientific breakthrough.
This power point slides presents how the electrons and protons were discovered together with the personalities involved with this scientific breakthrough.
Lesson 2 We Are All Made of Star Stuff (Formation of the Heavy Elements)Simple ABbieC
Content: How the elements found in the universe were formed
Content Standard:
At the end of the lesson, you will be able to demonstrate an understanding of:
the formation of the elements during the Big Bang and during stellar evolution
the distribution of the chemical elements and the isotopes in the universe
Learning Competencies:
At the end of the lesson,
Give evidence for and describe the formation of heavier elements during star formation and evolution (S11/12PS-IIIa-2)
Write the nuclear fusion reactions that take place in stars that lead to the formation of new elements (S11/12PS-IIIa-3)
Describe how elements heavier than iron are formed (S11/12PSIIIa-b-4))
Contents of this slide-share presentation:
Understanding decay concepts
Facts about Radioactive decay
Types of radioactive decay
Understanding Half-life concepts
Graphing and calculating Half-life
Using count rate to study and analyse radioactive decay
Lesson 2 We Are All Made of Star Stuff (Formation of the Heavy Elements)Simple ABbieC
Content: How the elements found in the universe were formed
Content Standard:
At the end of the lesson, you will be able to demonstrate an understanding of:
the formation of the elements during the Big Bang and during stellar evolution
the distribution of the chemical elements and the isotopes in the universe
Learning Competencies:
At the end of the lesson,
Give evidence for and describe the formation of heavier elements during star formation and evolution (S11/12PS-IIIa-2)
Write the nuclear fusion reactions that take place in stars that lead to the formation of new elements (S11/12PS-IIIa-3)
Describe how elements heavier than iron are formed (S11/12PSIIIa-b-4))
Contents of this slide-share presentation:
Understanding decay concepts
Facts about Radioactive decay
Types of radioactive decay
Understanding Half-life concepts
Graphing and calculating Half-life
Using count rate to study and analyse radioactive decay
Rutherford Gold Foil Experiment involved shooting alpha particles ( golden foil. Most of the alpha particles moved through the foil. On occasion an alha particles would bounve back after impacting the foil What do both observation mean with regard to the overall essentially helium nuclei at of atom? Why most of alpha particles passed through the foil? Why Some of the alpha particles bounced back from the foil? Q2. Sketch an electromagnetic wave and label the wavelength and an amplitude and which part of the electromagnetic wave provides information about the number of photons? INSRT STD
Solution
Rutherford experiment overall shows that atom has its most of space empty. And only central part of atom has mass confined of atom in form of nucleus.
A. Electrons revolve around nucleus in an atom. The space between the orbitals is empty and that\'s why most of alpha particles passed through the coli. Because they passed through the empty space within the orbitals.
B. Some alpha particles were bounced back because they collide with the nucleus which is present in the middle of atom. The mass of atom is in the nucleus so the alpha particles collided and were bounced back.
.
By this you can understand the actual concept of Atom and also the hidden facts behind it discovery, some you tube links are also their to increase the student knowledge
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.
DERIVATION OF MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMINAL V...Wasswaderrick3
In this book, we use conservation of energy techniques on a fluid element to derive the Modified Bernoulli equation of flow with viscous or friction effects. We derive the general equation of flow/ velocity and then from this we derive the Pouiselle flow equation, the transition flow equation and the turbulent flow equation. In the situations where there are no viscous effects , the equation reduces to the Bernoulli equation. From experimental results, we are able to include other terms in the Bernoulli equation. We also look at cases where pressure gradients exist. We use the Modified Bernoulli equation to derive equations of flow rate for pipes of different cross sectional areas connected together. We also extend our techniques of energy conservation to a sphere falling in a viscous medium under the effect of gravity. We demonstrate Stokes equation of terminal velocity and turbulent flow equation. We look at a way of calculating the time taken for a body to fall in a viscous medium. We also look at the general equation of terminal velocity.
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.
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/
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.
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.
2. Describe how Rutherford showed that:
(a) The nucleus had a relatively small diameter
compared with that of the atom.
(b) Most of the mass of the atom is concentrated in
the nucleus.
3. In the early days of atomic theory, many physicists
tried to explain the model of an atom.
In 1902, Ernest Rutherford showed that alpha
particles emitted from the decay of unstable
radioactive materials were electrically charged
helium nuclei travelling at high speed.
In 1909, Rutherford used alpha particles to
investigate the composition of gold foil (i.e. to
explain the model of an atom).
IN THE BEGINNING……
4. To investigate the composition of gold foil using
alpha particles (i.e. to explain the model of an
atom).
Aim
6. Procedure
Rutherford fired alpha particles through a piece of
gold foil and used a zinc sulphide detector to detect
the scattered alpha particles and their location.
30. Rutherford’s experiment found that:
• Most of the alpha particles passed through the gold foil
undeviated.
• A few alpha particles were deflected from their path
but continued through the gold foil.
• A small number of alpha particles rebounded.
Results
31. • As most alpha particles passed through the gold foil
atoms undeviated, Rutherford concluded that most of
the atom was actually empty space.
From the results of his experiment, Rutherford explained:
• The deviation of some alpha particles from their
original path were due to positive charges within the
foil.
Conclusion
32. From the results of his experiment, Rutherford explained:
Conclusion
• A small number of alpha particles had rebounded
because they collided with something much larger and
heavier and which contains a concentrated region of
positive charge.
33. As a result of his observations, Rutherford suggested that
the atom had a positively charged centre which contained
most of the mass.
He called the
heavy positively
charged centre
the nucleus.
He went on to suggest that the nucleus was surrounded by
orbiting electrons required for electrical neutrality.
Conclusion
34. As a result of his observations, Rutherford suggested that
the atom had a positively charged centre which contained
most of the mass.
He called the
heavy positively
charged centre
the nucleus.
He went on to suggest that the nucleus was surrounded by
orbiting electrons required for electrical neutrality.
Conclusion
35. As a result of his observations, Rutherford suggested that
the atom had a positively charged centre which contained
most of the mass.
He called the
heavy positively
charged centre
the nucleus.
He went on to suggest that the nucleus was surrounded by
orbiting electrons required for electrical neutrality.
Conclusion
36. As a result of his observations, Rutherford suggested that
the atom had a positively charged centre which contained
most of the mass.
He called the
heavy positively
charged centre
the nucleus.
He went on to suggest that the nucleus was surrounded by
orbiting electrons required for electrical neutrality.
Conclusion
37. As a result of his observations, Rutherford suggested that
the atom had a positively charged centre which contained
most of the mass.
He called the
heavy positively
charged centre
the nucleus.
He went on to suggest that the nucleus was surrounded by
orbiting electrons required for electrical neutrality.
Conclusion
38. Modern measurements show that the average nucleus
has a radius in the order of 10-15 m. This is 100, 000
times smaller than the radius of a typical atom.