This slide is prepared for the students of class nine to teach digitally to make learning fun. First I uploaded sound slide in nepali but found some font problem. So i prepared in english medium as well.
This slide is prepared for the students of class nine to teach digitally to make learning fun. First I uploaded sound slide in nepali but found some font problem. So i prepared in english medium as well.
To know that sound can be reflected, refracted, diffracted, and produces interference effects.
Know that sound is a wave because it can be reflected and refracted as with particles, diffraction and interference only occur with waves
Introduction to Sound for Class 9 Science:
Sound is an intriguing and essential aspect of our daily lives, providing us with a rich sensory experience. In the realm of Class 9 Science, the study of sound delves into the fascinating world of vibrations, waves, and auditory sensations. Defined as a form of energy produced by the vibration of objects, sound plays a crucial role in communication, navigation, and even artistic expression through music. Understanding the characteristics of sound, its propagation through different mediums, and the phenomena of reflection and echo will unravel the mysteries of this dynamic and omnipresent force. As we embark on this scientific journey, we will explore the principles of sound, discovering how its various facets contribute to both practical applications and the beauty of our acoustic surroundings.
For more information, visit- www.vavaclasses.com
To know that sound can be reflected, refracted, diffracted, and produces interference effects.
Know that sound is a wave because it can be reflected and refracted as with particles, diffraction and interference only occur with waves
Introduction to Sound for Class 9 Science:
Sound is an intriguing and essential aspect of our daily lives, providing us with a rich sensory experience. In the realm of Class 9 Science, the study of sound delves into the fascinating world of vibrations, waves, and auditory sensations. Defined as a form of energy produced by the vibration of objects, sound plays a crucial role in communication, navigation, and even artistic expression through music. Understanding the characteristics of sound, its propagation through different mediums, and the phenomena of reflection and echo will unravel the mysteries of this dynamic and omnipresent force. As we embark on this scientific journey, we will explore the principles of sound, discovering how its various facets contribute to both practical applications and the beauty of our acoustic surroundings.
For more information, visit- www.vavaclasses.com
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.
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
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
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.
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.
Salas, V. (2024) "John of St. Thomas (Poinsot) on the Science of Sacred Theol...Studia Poinsotiana
I Introduction
II Subalternation and Theology
III Theology and Dogmatic Declarations
IV The Mixed Principles of Theology
V Virtual Revelation: The Unity of Theology
VI Theology as a Natural Science
VII Theology’s Certitude
VIII Conclusion
Notes
Bibliography
All the contents are fully attributable to the author, Doctor Victor Salas. Should you wish to get this text republished, get in touch with the author or the editorial committee of the Studia Poinsotiana. Insofar as possible, we will be happy to broker your contact.
2. You have seen many types of waves in everyday
life. Some of these waves are easily seen, such as the
waves in a pond or in an ocean. Others you can feel
but cannot see, such as the winds during a storm or
the sensation of riding in a car on a bumpy road. You
may have been told that light is a wave, and while you
can see light you can’t see the wave nature of the
light. You also may know that sound is a wave.
In this section you will learn what all of these types
of waves have in common and what distinguishes
them from each other. You will also learn the
terminology that applies to all waves, so that a
discussion of the specific properties of sound can be
related to waves in general. Finally, you will learn
about the sources of waves and how the waves travel
from one place to another.
3. Pre discussion Question 1.
The term “wave” has more than on meaning in everyday language. List
as many different meanings of the word wave as you can.
5. Pre-discussion Question 3
List as many types of waves and/or examples of waves as you can.
What, if any, things do all of your examples have in common?
6. Pre-discussion Question 4
Now consider the specific example of a sound wave. List all the ways
you can think of to make a sound wave.
7. Pre-discussion Question 5
• How do you think sound gets from one place to another? That is,
how do you think sound travels? What types of materials do you think
sound travels through?
8. Pre-discussion Question 6
• When a thunderstorm is overhead what have you noticed about the
time it takes for you to see the lightning and to hear the thunder?
What does this suggest about the differences between light and
sound?
9. Motion in a Transverse Wave
What are the crest, trough, and rest position?
What Are Waves?
10. Motion in a Longitudinal Wave
Which are the areas of compression and rarefaction in the diagram?
What Are Waves?
11. A Picture of a Sound Wave
The picture shows an area of air as the compressions and rarefactions
of a sound wave pass through it. The dots represent air particles.
Where are the rarefaction and the compression areas?
What Are Waves?
12. Waves Transfer
Energy
A wave moves
the bottle in a circular
motion. After the wave
passes, the bottle
returns to where it
started. How will the
bottle look in the
bottom picture?
What Are Waves?