A brief introduction to lanthanide elements is given.
Order .ppts like this at <https://www.fiverr.com/anikmal/teamup-with-you-to-prepare-the-best-presentation>
Along with their physical and chemical properties are also shown. Helpful for quick understanding on lanthanide series.
A brief introduction to lanthanide elements is given.
Order .ppts like this at <https://www.fiverr.com/anikmal/teamup-with-you-to-prepare-the-best-presentation>
Along with their physical and chemical properties are also shown. Helpful for quick understanding on lanthanide series.
this presentation discusses the crystal field theory and its role in explaining the formation of coordination complexes by transition elements, their magnetic and colour properties; and its limitations!
HSAB concept is an initialism for "hard and soft (Lewis) acids and bases". Also known as the Pearson acid-base concept, HSAB is widely used in chemistry for explaining stability of compounds, reaction mechanisms and pathways.
this presentation discusses the crystal field theory and its role in explaining the formation of coordination complexes by transition elements, their magnetic and colour properties; and its limitations!
HSAB concept is an initialism for "hard and soft (Lewis) acids and bases". Also known as the Pearson acid-base concept, HSAB is widely used in chemistry for explaining stability of compounds, reaction mechanisms and pathways.
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/
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
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.
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.
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.
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.
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.
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.
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.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
3D Hybrid PIC simulation of the plasma expansion (ISSS-14)
Factors affecting Crystal Field Splitting by Dr. Narinderjit Kaur
1. FACTORS AFFECTING
CRYSTAL FIELD
SPLITTING
Dr. Narinderjit Kaur
Assistant Professor
PG Dept. OfChemistry
Kanya Maha Vidyalaya, Jalandhar
Factors
affecting
Crystal field
Splitting
Dr. Narinderjit Kaur
Assistant professor
PG Dept. of Chemistry
Kanya Maha Vidyalaya,
Jalandhar
3. The Magnitde of Δo
depend on following
factors:
• Nature of the ligand (Spectrochemical Series)
• Oxidation state of the transition metal
• Type of d-orbitals (transition metals)
• Geometry of the Complex
Dr. Narinderjit Kaur
3
4. 1. Nature of Ligands
• Greater the ease with which ligands can approach the metal ion, greater will be
the CFS.
• Complexes with weak field ligands have smaller Δo than complexes with
strong field ligands.
How to decide which
ligand is weak field &
which one is strong field?
The ligands which cause small degree of CFS Δo are called weak field
ligands while which cause large splitting are called strong field ligands.
4
Dr. Narinderjit Kaur
5. Spectrochemical series
The arrangement of ligands in an increasing or decreasing order of CFS
Δo is called spectrochemical series. This is an experimentally determined
series. The order remains almost same for different metal ions.
CO > CN
-
= C H > PR > NO
-
= phen > bipy > SO 2-
> en = py = NH3 > edta
2 4 3 2 3
- - -
> NCS-
> H2O > C2O4
2- > OSO3
2- > OH-
= ONO-
> F-
> Cl-
> SCN > Br > I
Decreasing Crystal Field
Strong
Weak
In fact, it is difficult to explain the order as it incorporates the effects of both σ & π
bonding. In general the variation in the splitting depends on number of other factors
Such as:
5
Dr. Narinderjit Kaur
6. Other factors:
Small ligands can cause greater CFS.
Ligands containing polarizable electron pair will be drawn more closely to metal
ion.
Ligands which can form multiple bonds such as CN-
& CO cause greater CFS.
CFS by CN-
ligand is about double that for weak field ligands like halide
ions, this is due to the π bonding in metal. Metal donates e’s filled t2g
orbitals into vacant orbitals onligand.
Increasing σ donation occurs in the order:
Halide donors < O donors < N donors < C donors
6
Dr. Narinderjit Kaur
7. Weak field ligands, such as Cl-
and SCN-
, give rise to small values for
Δo, while strong field ligands, such as CN-
and CO, give rise to large
values forΔo.
It is also possible to arrange the metals according to a
spectrochemical series as well. The approximate order is:
7
Dr. Narinderjit Kaur
Mn2+ < Ni2+ < Fe2+ < V2+ < Fe3+ < Co3+ < Mn3+ < Mo3+ < Rh3+ < Ru3+ < Pd4+ <Ir3+
< Pt4+
8. Which of the following would
have the largest value ofΔo?
A. [Cr(H2O)6]3+
B. [CrF6]3-
C. [Cr(NH3)6]3+
8
Dr. Narinderjit Kaur
9. 6 2 3For [Co(III)L ], Δ in cm-1: 13,100 (F-
); 20,760 (H O); 22,870 (NH )
For [Cr(III)L ], Δ in cm-1: 15,260 (F-
); 17,830 (H O); 26,280 (CN-
)
6 2
Complex ligand Donor atom Δ in cm-1
[CrCl6]3- Cl-
Cl 13640
[CrF6]3- F-
F 15260
[Cr(H2O)6]3+ H2O O 17830
[Cr(NH3)6]3+ NH3 N 21680
[Cr(en)3]3+ en N 21900
[Cr(CN-
)6]3- CN-
C 26280
9
Dr. Narinderjit Kaur
10. Why CFS is different
even if
complexes have
same metal ion and
same ligands?
Dr. Narinderjit Kaur 10
11. 2. Oxidation State of Metal ion
Δo =10,200 cm-1 for[Co(NH3)6]2+
Δo =22,870 cm-1 for[Co(NH3)6]3+
Δo =32,200 cm-1 for [Fe(CN)6]4-
Δo =35,000 cm-1for[Fe(CN)6]3-
Let’s take an example……
Metal ion with higher oxidation state causes largerΔo
As the oxidation state of the transition metal (the charge on the metal) is increased, the
surrounding ligands are attracted more closely to the metal centre. The orbitals on the
ligands interact more strongly with the d orbitals andΔo increases.
11
Dr. Narinderjit Kaur
12. Which of the following would
have the largest value ofΔo?
A. [Fe(H2O)6]3+
B. [Fe(H2O)6]2+
12
Dr. Narinderjit Kaur
14. 3. Type of d-orbitals (transition metals)
-1
Δo = 22,870 cm (Co)
Δo = 34,100 cm-1
(Rh)
oΔ = 41,200 cm-1
(Ir)
In groups, heavier analogues have larger Δ.
For hexaammine complexes[MIII(NH3)6]3+
14
Dr. Narinderjit Kaur
15. On going from the first to the second row of a transition
metal triad, there is approximately 30 to 50% increase in the
size of Δo, and another 30 to 50% increase on going from the
second row to the third row. This is due to the fact that as
you descend a transition metal triad the size of the d-orbitals
increases (3d < 4d < 5d). The larger d-orbitals interact more
with the orbitals on the ligands, hence Δo is larger. It should
also be noted that the pairing energies for the larger d-
orbitals are smaller, which means that low spin
configurations are favoured
15
Dr. Narinderjit Kaur
16. 4. Geometry of Complex
CFS energy of tetrahedral complexes (Δt) is nearly half the
value for octahedral complexes (Δo)
𝟒
∆ 𝒕 =
𝟗
∆ 𝒐
Since magnitude of CFS in tetrahedral complex is quite small and
is always less than pairing energy.
16
Dr. Narinderjit Kaur
17. Complex Oxidation
state of
metal
Geometry Δ in cm-1
[Co(NH3)4]2+ II Tetrahedral 59,00
[Co(NH3)6]2+ II Octahedral 10,200
VCl4 IV Tetrahedral 7,900
[VCl6]2- IV Octahedral 15,400
Thus, all tetrahedral complexes are high spin complexes.
17
Dr. Narinderjit Kaur
18. Which of the following would have the smallest
value ofΔo?
A. [Os(OH2)6]3+
B. [Fe(OH2)6]3+
C. [Ru(OH2)6]3+
18
Dr. Narinderjit Kaur