Three new heteroleptic dithiocarbamate complexes with formula [M(Phen-dione)(Fcdtc)]PF6 (where M ¼
Ni(II) Ni-Fc, Cu(II) Cu-Fc) and [Co(Phen-dione)(Fcdtc)2]PF6 (Co-Fc) (Fcdtc ¼ N-ethanol-Nmethylferrocene
dithiocarbamate and Phen-dione ¼ 1,10-phenanthroline-5,6-dione; PF6
− ¼
hexafluorophosphate) were synthesized and characterized using microanalysis
Three new heteroleptic dithiocarbamate complexes with formula [M(Phen-dione)(Fcdtc)]PF6 (where M ¼
Ni(II) Ni-Fc, Cu(II) Cu-Fc) and [Co(Phen-dione)(Fcdtc)2]PF6 (Co-Fc) (Fcdtc ¼ N-ethanol-Nmethylferrocene
dithiocarbamate and Phen-dione ¼ 1,10-phenanthroline-5,6-dione; PF6
− ¼
hexafluorophosphate) were synthesized and characterized using microanalysis
Crystal Structure, Topological and Hirshfeld Surface Analysis of a Zn(II) Zwi...Awad Albalwi
Abstract: A mononuclear Zn(II) complex of (Zn(H2L) (CH3OH) Cl2
) (1) has been synthesized by using
a nonlinear optically active Zwitterionic Schiff base which is 4-((2-hydroxy-3-methoxybenzylidene)
amino) benzoic acid (H2L). Complex 1 has been structurally analyzed by FTIR and UV spectroscopy,
TGA, Powder-XRD and single crystal X-ray diffraction. X-Ray crystallographic studies revealed Zn(II)
complex crystallizes in a P21/c space group and exists in a distorted trigonal bipyramidal geometry
(τ = 0.68).
What evidence is there for water on mars 2009Awad Albalwi
Historical background and definition.
evidence(1) - sulphate salt .
evidence(2) - Sheet of water ice
evidence(3) – New deposits in craters
evidence(4) - Water-ice clouds
evidence(5) - Vapour water over the polar cap
Evidence (6)- Water vapour over the four big volcanoes
Application of Statistical and mathematical equations in Chemistry -Part 6Awad Albalwi
Application of Statistical and mathematical equations in Chemistry Part 6
Strong Acid and Base Titrations, Weak Acid and Strong Base Titration, Strong Acid and Weak Base Titrations ,Precipitation
Percentage calculation
Application of Statistical and mathematical equations in Chemistry -Part 6Awad Albalwi
Application of Statistical and mathematical equations in Chemistry Part 6
Strong Acid and Base Titrations .Weak Acid and Strong Base Titration ,Strong Acid and Weak Base Titrations ,Precipitation
Percentage calculation
Application of Statistical and mathematical equations in Chemistry -Part 5Awad Albalwi
Application of Statistical and mathematical equations in Chemistry
Part 5
Strong Acids and Bases
Ph theory
Weak Acids and Weak Bases
Salts of Weak Acids and Bases theory
A buffer solution theory
POLYPROTIC ACID IONIZATION
Application of Statistical and mathematical equations in Chemistry -Part 3 Awad Albalwi
Application of Statistical and mathematical equations in Chemistry
Part 3
reaction rate
equilibrium constant
The common ion effect
Activity and Activity Coefficients
The Diverse Ion Effect Theory
Application of Statistical and mathematical equations in Chemistry Part 2Awad Albalwi
Application of Statistical and mathematical equations in Chemistry
Part 2
Accuracy
Precision
Propagation of Error
Confidence Limits
F-Test Values
Student’s t-test
Paired Sample t-test
Q test
Least Squares Method
correlation coefficient
Application of Statistical and mathematical equations in Chemistry Part 1Awad Albalwi
Application of Statistical and mathematical equations in Chemistry
Part 1
Equivalent Weight
Moles
Molarity
Normality
Percent Concentration
ppt, ppm, ppb for Solid &liquid Samples
Concentration in (mequiv/L)
Density
Application of Statistical and mathematical equations in Chemistry Part 5Awad Albalwi
Application of Statistical and mathematical equations in Chemistry
Part 5
Strong Acids and Bases
Ph theory
Weak Acids and Weak Bases
Salts of Weak Acids and Bases theory
A buffer solution theory
POLYPROTIC ACID IONIZATION
Application of Statistical and mathematical equations in Chemistry Part 3Awad Albalwi
Application of Statistical and mathematical equations in Chemistry
Part 3
reaction rate
equilibrium constant
The common ion effect
Activity and Activity Coefficients
The Diverse Ion Effect Theory
Crystal Structure, Topological and Hirshfeld Surface Analysis of a Zn(II) Zwi...Awad Albalwi
Abstract: A mononuclear Zn(II) complex of (Zn(H2L) (CH3OH) Cl2
) (1) has been synthesized by using
a nonlinear optically active Zwitterionic Schiff base which is 4-((2-hydroxy-3-methoxybenzylidene)
amino) benzoic acid (H2L). Complex 1 has been structurally analyzed by FTIR and UV spectroscopy,
TGA, Powder-XRD and single crystal X-ray diffraction. X-Ray crystallographic studies revealed Zn(II)
complex crystallizes in a P21/c space group and exists in a distorted trigonal bipyramidal geometry
(τ = 0.68).
What evidence is there for water on mars 2009Awad Albalwi
Historical background and definition.
evidence(1) - sulphate salt .
evidence(2) - Sheet of water ice
evidence(3) – New deposits in craters
evidence(4) - Water-ice clouds
evidence(5) - Vapour water over the polar cap
Evidence (6)- Water vapour over the four big volcanoes
Application of Statistical and mathematical equations in Chemistry -Part 6Awad Albalwi
Application of Statistical and mathematical equations in Chemistry Part 6
Strong Acid and Base Titrations, Weak Acid and Strong Base Titration, Strong Acid and Weak Base Titrations ,Precipitation
Percentage calculation
Application of Statistical and mathematical equations in Chemistry -Part 6Awad Albalwi
Application of Statistical and mathematical equations in Chemistry Part 6
Strong Acid and Base Titrations .Weak Acid and Strong Base Titration ,Strong Acid and Weak Base Titrations ,Precipitation
Percentage calculation
Application of Statistical and mathematical equations in Chemistry -Part 5Awad Albalwi
Application of Statistical and mathematical equations in Chemistry
Part 5
Strong Acids and Bases
Ph theory
Weak Acids and Weak Bases
Salts of Weak Acids and Bases theory
A buffer solution theory
POLYPROTIC ACID IONIZATION
Application of Statistical and mathematical equations in Chemistry -Part 3 Awad Albalwi
Application of Statistical and mathematical equations in Chemistry
Part 3
reaction rate
equilibrium constant
The common ion effect
Activity and Activity Coefficients
The Diverse Ion Effect Theory
Application of Statistical and mathematical equations in Chemistry Part 2Awad Albalwi
Application of Statistical and mathematical equations in Chemistry
Part 2
Accuracy
Precision
Propagation of Error
Confidence Limits
F-Test Values
Student’s t-test
Paired Sample t-test
Q test
Least Squares Method
correlation coefficient
Application of Statistical and mathematical equations in Chemistry Part 1Awad Albalwi
Application of Statistical and mathematical equations in Chemistry
Part 1
Equivalent Weight
Moles
Molarity
Normality
Percent Concentration
ppt, ppm, ppb for Solid &liquid Samples
Concentration in (mequiv/L)
Density
Application of Statistical and mathematical equations in Chemistry Part 5Awad Albalwi
Application of Statistical and mathematical equations in Chemistry
Part 5
Strong Acids and Bases
Ph theory
Weak Acids and Weak Bases
Salts of Weak Acids and Bases theory
A buffer solution theory
POLYPROTIC ACID IONIZATION
Application of Statistical and mathematical equations in Chemistry Part 3Awad Albalwi
Application of Statistical and mathematical equations in Chemistry
Part 3
reaction rate
equilibrium constant
The common ion effect
Activity and Activity Coefficients
The Diverse Ion Effect Theory
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...2023240532
Quantitative data Analysis
Overview
Reliability Analysis (Cronbach Alpha)
Common Method Bias (Harman Single Factor Test)
Frequency Analysis (Demographic)
Descriptive Analysis
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”