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
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
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
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
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
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.
10. Problem
•Example:
•Find the pH and pOH for 2.56*10-4M NH3 .
•Kb for NH3 = 1.75*10-3.
•____________________________________
•Q5-5 Calculate the conc of H+ ions & OH- in
solution with pH=8.3
24. Problem
•Example: Find the [H3PO4] and [H2PO4
-] at
equilibrium in solution of 0.15M phosphoric
acid and [H+] = 1*10-4M at pH = 4 .
•Ka1 = 1.1*10-2 , Ka2 = 7.5*10-8 , Ka3 =
4.8*10-13
25.
26.
27.
28. Problem
•Example:
•Find the [H+] for 0.2M NaH2Y knowing that
EDTA acid has four H+ proton (H4Y) . Ka2 =
2.2*10-3 , Ka3 = 6.9*10-7
•H2Y-2 H+ + HY-3
•H2Y-2 + H2O OH- +
HY-3