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Data Analysis Center
Contact:
Piotr Krajewski
+48 694 233 234
[email protected]
Plan
• About us
• Our services
• Case studies-examples
About us
• Scientific-business team (PhDs, Business Managers,
Analysts, IT- cooperation with Stermedia IT Systems)
• Cooperation with scientific environment in Poland
(Polish Academy of Sciences, Universities, Hospitals,
etc).
• Publications
• Clients from many business sectors: banks/finance,
industry, pharmacy, medicine, genetics,
administration, science, etc
Our services/solutions
• Data, Text mining
• Data cleaning
• Prediction, scoring
• Biodatamining analysis, Bio science
• Knowledge discovery
• Physics in business
• Geo, Business, Location Intelligence
• Dedicated scientific-business software
Sample project-Finance
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Analysis of financial time series by means of stochastic model of turbulence.
Investigations which have been conducted since 90th years of previous century show
that, in practice, every financial time series can be described by two parameters of
stochastic model: first one is a drift parameter and second one is a diffusion parameter.
The drift parameter informs about external driving “forces” acting on markets (forex, stock
exchange, materials market) like for example prosperity (“natural” force coming from
economy) as well as a speculation (“affected” force coming from a market players
which plays on increase or decrease prices on the market). The diffusion parameter
describes a random nature of markets. A comparison of this parameters for different time
scales should provide information about situation on the markets. A conditional
probabilities of an occurrence of x1 increment (vertical axis on the picture) of rate at t1
moment on condition x2 increment of rate at t2 moment (vertical axis on the picture;
t2>t1) is a base for the parameters estimation
(color scale describes probabilities).
The turbulence model can be used also
to forecasting prices of different kind of
financial instruments.
The model is being implemented
for one of Polish forex brokers.
Sample projectsMetamaterials
•
Investigations of dynamical, structural and optical properties of colloidal
systems.Metamaterials.
Aims of investigations are wide cognition of properties of systems consisted of micro or
nano metal particles, suspended in liquids and experiencing an acting of external
electric or magnetic force. One of potential application of these researches is an easy
and quick generating 2D or 3D regular optical structure with controllable optical
properties i.e. metamaterials.
Two below pictures show structures obtained during experiments. The first one presents
“forest” of vertical string build by charged copper microparticles. The second one
presents a percolate structure.
Sample projectsPharmacy
• Analyse and build process model
– optimize production of drugs (drying the granules) for Teva
Corp.
Sample Projects Medicine
• Investigation of diagnostic test for endometriosis – cooperation with
Polish Academy of Sciences
• Research of publications, data collection by endometriosis portal,
analysis
• FertilityCare data analysis in Naprotechnology
Sample projects - Bio
•
Examples summary: (Witold Dyrka PhD)
Protein folding problem, which includes predicting protein tertiary structure exclusively based on an amino acid sequence, is
considered as the greatest challenge in computational structural biology. Moreover, in case of transmembrane proteins, the
lack of experimental structures hampers application of template-based modeling. Alternatively, ab initio methods, which
build protein 3D models directly from their sequences,have only been successful for small proteins up to 200 amino acids. For
larger proteins, such as protein channels which typically contain 1000s of amino acids, limitations of ab initio methods can be
overcome by integrating restraints into the modeling process.
Other modeling methods can also benefit from additional constraints. In this work, the author develops two computational
methods which could provide restraints at various stages of the protein channel structure prediction process. First,the author
shows the capability of probabilistic context-free grammars, automatically induced in our framework, to classify helix-helix
contact site geometry on the basis of the protein sequence only. Thus, the grammar classifiers could be used to constrain the
search space of a structure prediction method for transmembrane proteins. Predicted conformations of helix-helix contacts
can also be used to enhance sets of model structures by depriving them of low quality items. Our original probabilistic
grammatical model of a protein language covers the lexical (primary structure) and syntactical (secondary and tertiary
structure) levels of protein linguistics. Moreover, as protein function cannot be separated from protein structure, our model
reaches also the semantic level. Then, the author demonstrates that his implementation of continuous electrodiffusion theory
is able to correctly reproduce experimental ion flow characteristics for a variety of protein channels. It is shown that the
continuum ion flow model can account for intra-family diversity and single mutation effects, while being unparallely fast.
Thus, the algorithm could be a viable option for validation of protein channel model structures providing superior speed to
more sophisticated ion channel models.
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Prediction of tertiary and quaternary structure based on amino acid sequence (ab initio, own methods),
Functional modeling (electrodiffusion theory),
Modeling effects of mutations on structure and function,
Computational validation of native and synthetic protein models,
Analysis of experimental data and design of nanopores
Design of statistical and heuristic dedicated models (probabilistic grammatical and Markovian models)
Development and integration of existing methods and open source software
Acquisition, validation and consolidation of publicly available databases
Investigation of
microdroplet evaporation
• Creation of a method of determining, with high precision, of a radius
of evaporating or condensing microdroplets and a method of
estimation of parameters (mass and thermal accommodation
parameters) of these processes for their kinetic model (Hertz-Knudsen
model). Estimation of these parameters for water.
Sample projects-Locations
Intelligence
• Analyse data (sales, potencial, income,
populations, etc) and suggest new locations
for bank and credit branches – Credit
Agricole Poland
Thank You
Contact:
Piotr Krajewski
+48 694 233 234
[email protected]
Data Analysis Center
(Stermedia Group)
Ostrowskiego 13,
53-238 Wroclaw, Poland
http://dcad.com.pl