This lesson will help you know how atoms of each element are arranged in an orbital and where atoms are exactly located that give distinct characteristics to the element.
Quantum mechanical model of atom belongs to XI standard Chemistry which describes the quantum mechanics concept of atom, quantum numbers, shape and energies of atomic orbitals.
Quantum mechanical model of atom belongs to XI standard Chemistry which describes the quantum mechanics concept of atom, quantum numbers, shape and energies of atomic orbitals.
8th Grade Integrated Science Chapter 8 Lesson 1 on Electrons and Energy Levels. This lesson gives a brief introduction of the periodic table, periods, and groups. There is an introduction to metals, nonmetal, and metalloids. This also introduces electrons, energy levels, and the basic idea of bonding.
Chemical bonds- Properties of Ionic and Covalent compoundsSyed Amirul Aiman
This slide was used in the microteaching practice conducted by Dr. Denis Andrew D. Lajium for Teaching Method I (Chemistry) - TK30103.
all right reserve.
lesson for grade 9 science
the topics includes: (a)respiratory system, (b) circulatory system, (c) other organs working together with the respiratory and circulatory system
8th Grade Integrated Science Chapter 8 Lesson 1 on Electrons and Energy Levels. This lesson gives a brief introduction of the periodic table, periods, and groups. There is an introduction to metals, nonmetal, and metalloids. This also introduces electrons, energy levels, and the basic idea of bonding.
Chemical bonds- Properties of Ionic and Covalent compoundsSyed Amirul Aiman
This slide was used in the microteaching practice conducted by Dr. Denis Andrew D. Lajium for Teaching Method I (Chemistry) - TK30103.
all right reserve.
lesson for grade 9 science
the topics includes: (a)respiratory system, (b) circulatory system, (c) other organs working together with the respiratory and circulatory system
The slides contains information Regarding Electron Configuration.
1. How electrons arranged in shells
2. Atomic orbitals
3. Electronic Configuration
4. Sublevels
5. Hunds rule
6. Pauli Rule
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
ISI 2024: Application Form (Extended), Exam Date (Out), EligibilitySciAstra
The Indian Statistical Institute (ISI) has extended its application deadline for 2024 admissions to April 2. Known for its excellence in statistics and related fields, ISI offers a range of programs from Bachelor's to Junior Research Fellowships. The admission test is scheduled for May 12, 2024. Eligibility varies by program, generally requiring a background in Mathematics and English for undergraduate courses and specific degrees for postgraduate and research positions. Application fees are ₹1500 for male general category applicants and ₹1000 for females. Applications are open to Indian and OCI candidates.
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.
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.
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptxMAGOTI ERNEST
Although Artemia has been known to man for centuries, its use as a food for the culture of larval organisms apparently began only in the 1930s, when several investigators found that it made an excellent food for newly hatched fish larvae (Litvinenko et al., 2023). As aquaculture developed in the 1960s and ‘70s, the use of Artemia also became more widespread, due both to its convenience and to its nutritional value for larval organisms (Arenas-Pardo et al., 2024). The fact that Artemia dormant cysts can be stored for long periods in cans, and then used as an off-the-shelf food requiring only 24 h of incubation makes them the most convenient, least labor-intensive, live food available for aquaculture (Sorgeloos & Roubach, 2021). The nutritional value of Artemia, especially for marine organisms, is not constant, but varies both geographically and temporally. During the last decade, however, both the causes of Artemia nutritional variability and methods to improve poorquality Artemia have been identified (Loufi et al., 2024).
Brine shrimp (Artemia spp.) are used in marine aquaculture worldwide. Annually, more than 2,000 metric tons of dry cysts are used for cultivation of fish, crustacean, and shellfish larva. Brine shrimp are important to aquaculture because newly hatched brine shrimp nauplii (larvae) provide a food source for many fish fry (Mozanzadeh et al., 2021). Culture and harvesting of brine shrimp eggs represents another aspect of the aquaculture industry. Nauplii and metanauplii of Artemia, commonly known as brine shrimp, play a crucial role in aquaculture due to their nutritional value and suitability as live feed for many aquatic species, particularly in larval stages (Sorgeloos & Roubach, 2021).
Phenomics assisted breeding in crop improvementIshaGoswami9
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
Toxic effects of heavy metals : Lead and Arsenicsanjana502982
Heavy metals are naturally occuring metallic chemical elements that have relatively high density, and are toxic at even low concentrations. All toxic metals are termed as heavy metals irrespective of their atomic mass and density, eg. arsenic, lead, mercury, cadmium, thallium, chromium, etc.
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.
ESR spectroscopy in liquid food and beverages.pptxPRIYANKA PATEL
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
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
2. ENERGY LEVELS
In the BOHR
MODEL of the
atom, electrons
circle the nucleus
in the same way
that planets orbit
the sun.
3. • Negative electrons are attracted
to the positive nucleus.
Consequently, it takes energy to
move an electron away from the
nucleus to an outer circle.
-
-
-
- -
-
-
-
+
+
+
electron
proton
neutron
ENERGY LEVELS OR SHELLS
- circles where the electrons orbit.
• Electrons in the outermost circles
have higher energy since it
requires more effort to pull the
electron a greater distance from
the nucleus.
4. ENERGY LEVELS
• numbered I, 2, 3, etc.
• The smaller the number, the closer the
energy level is to the nucleus.
• "n" is used to represent the energy
level
• The energy level that is closest to the
nucleus has a value of n = I
• Sometimes we use the letter K, L, M,
etc. to represent the numbers I, 2, 3,
and so on.
• The value of n is sometimes called the
principle quantum number.
5. Look at the chart below and see if you can detect a
pattern.
n Maximum number of electrons
1 2
2 8
3 18
4 32
ENERGY LEVELS
6. Each energy level can only
hold a certain number of
electrons.
The first energy level can
only hold 2 electrons, the
second can only hold 8,
and the third can only hold
18.
ENERGY LEVELS
7. As the energy level increases, so does the number of electrons that can
fit into the shell. We can use a formula to predict the maximum
number o£ electrons that can fit into an energy level.
Max # of electrons = 2n2
For example, the maximum number of electrons that can occupy the 4th energy
level is
= 2(4)2
= 2(16)
= 32 electrons.
ENERGY LEVELS
8. Within each energy level are sublevels. The sublevels are labeled s, p, d,
and f. You need to memorize these 4- sublevels.
SUBLEVELS
The first energy level has an s sublevel.
The second energy level has s and p
sublevels.
The third energy level has s, p, and d
sublevels.
The fourth energy level has s, p, d, and f
sublevels.
9. Within each energy level are sublevels. The sublevels are labeled s, p, d,
and f. You need to memorize these 4- sublevels.
SUBLEVELS
n sublevels
1 s
2 s, p
3 s, p, d
4 s, p, d, f
nucleus
Notice that the number of sublevels in an energy level = # of the energy level
10. Within each sublevel there are orbitals. This is the final location where
electrons reside. Each sublevel has a certain number of orbitals
ORBITALS
sublevel orbital
s 1
p 3
d 5
f 7
An s sublevel has 1 orbital
A p sublevel has 3 orbitals
A d sublevel has 5 orbitals
A f sublevel has 7 orbitals
11. A maximum of 2 electrons can occupy an orbital
ORBITALS
12. Pauli Exclusion Principle
• When electrons occupy orbitals, they spin on their axis.
• If two electrons occupy an orbital, the must spin in opposite
directions.
13. SUMMARY
• Electrons orbit the nucleus in circles called energy levels (n)
• Inside the energy levels are sublevels (s, p, d, f).
• Inside the sublevels are orbitals.
14. Resources & References:
• Louie, R. (2016). Energy levels, energy sublevels, orbitals. Chemistry lecture
notes #21. https://tinyurl.com/fu4dxb83
IMAGE ON THIS FILE:
• The Principal Quantum Number, n. https://tinyurl.com/z4e7p34w
• Quantum mechanical Model. https://tinyurl.com/3f745w2w
• Bohr Model. https://tinyurl.com/yayu7azu
• Hund’s Rule, the Pauli Exclusion Principle and Aufbau Principle.
https://tinyurl.com/panmt8ed