My Russian Adventures

Document Sample
My Russian Adventures Powered By Docstoc
					My Russian Adventures




  Christopher A. Marks
   22 February, 2006
Acknowledgements
         Acknowledgements
Casper Dahl          Vladimir Palyulin
Lars Petersen        Cyndi Schick
Kurt Varmuza         John Quagliano
Oxana Rodionova      Peter Quagliano
Katya Pomerantseva   Sergei Kucheryavski
Alex Pomerantsev     chernogolovka.net
Andrey & Marina      Laurel Marks
     Bogomolov
Google Earth
                                                                                                             The Marks Isotherm
                                                                                                                                                                                       n   (i n s  n a) K i P i
Assume that we have a small number of active sites, that do not interact, on an otherwise inert                                                                                                              *
                                                                                                                                                                                                                                                 (7)
surface. We are interested in the adsorption of gas molecules, L, at these active sites, S. At                                                                                              a
                                                                                                                                                                                                i 1
steady state for a given temperature and pressure, the family of reactions represented by

                                               nL  S                 SLn                                         (1)
                                                                                                                                                      For measurements of      n   a
                                                                                                                                                                                        at j pressures (assume           n
                                                                                                                                                                                                                         s
                                                                                                                                                                                                                              fixed) we have

                                                                                                                                                                        (ns  na (1))P1            (2ns  na (1))P12  (ins  na (1))P1i
will be at equilibrium. The following relation, where                                              n    i
                                                                                                            is the number of sites with i molecules
                                                                                                                                                                        (ns  na (2))P2            (2ns  na (2))P22   (ins  na (2))P2i
                   *
                                                                                                                                                                P                                                                                                 (8)
adsorbed and   K       is the appropriate equilibrium constant and                                                 P is the gas pressure, applies.


                                   Why
                   i                                                                                                                                                                                                                 
                                                                                                                                                                        (ns  na ( j ))Pj          (2ns  na ( j ))Pj2        (ins  na ( j ))Pji
                                                            *
                                                                    n         i
                                                    K       i
                                                                       i
                                                                                                            (2a)
                                                                    nP   0                                                                                                                                                                           *
                                                                                                                                                                           n (1)
                                                                                                                                                                               a                                                            K        1
                                                    i                                                                                                                                                                                                *
                                           n n K P
                                                                     *
                                                                                                                                                                          n
                                                                                                                (2b)                                                         ( 2)                                                           K
                                                                                                                                                                                                                                         K  
                                                                                                                                                                              a
                                               i            0        i
                                                                                                                                                                    N         
                                                                                                                                                                                                       (9)                                           2      (10)
                                                                                                                                                                                                                                                     *
                                                                                                                                                                            na ( j )                                                            K


                               Chemometrics?
                                                                                                                                                                                                                                                     i

The total number of adsorbed molecules,                             na , is                                                                           and

                         na  n1  2n2  3n3    n0  i K i P
                                                            * i                                                                (3)
                                                                                                 i 1                                                                   N = PK                         or      (PTP)-1PTN = K                            (11)

                                                                                                                                                      N and P are determined experimentally, so the only remaining difficulty is how to determine i
and the total number of sites,      n      s
                                               is
                                                                                                                                                      and calculate K. This is done by leave-one-out cross-validation. For each of the j experiments,
                                                                                                                                                      determine K from the remaining experiments for all reasonable values of i. Use these K to
                         n n n n
                           s    0              1            2
                                                                   n0  K * P i
                                                                             i                                                 (4)                    calculate a predicted na (from equation (3)) for each value of i. Plot
                                                                                          i 0



                                                                                                                                                                                    n a obs(n)  n a calc(n)
                                                                                                                                                                                        j
                                                                                                                                                                                                                                     2
This means                                                                                                                                                                                                                                      (12)
                                                                                                                                                                                       n 1




                                   n   Ki P
                                         i * i                                                                                                        as a function of i. The minimum in this curve is the maximum i that can be determined for the
                                 n                    a           i 1
                                                                                                                         (5)                          system under the given experimental conditions.
                                      1 Ki P
                                      P     * i         s
                                                                             i 1                                                                     If K can be determined at several temperatures, the H and S for the stepwise adsorption can be
                                                                                                                                                      determined from plots of lnK versus 1/T.
Therefore


                         n  n Ki P                                ns  i K i P
                                                    *           i           * i                                               (6)
                           a    a
                                    i 1                                           i 1


and
                 Why Russia?
WSC1 Kostroma             ACS Boston (2 days)
• Cost $250, including:   • Cost $850
  –   Moscow  Kostroma   • Lodging > $200
  –   Lodging             • Meals > $100
  –   Meals
                          • Excursion?
  –   Excursion
                          • Airfare > $500
• Airfare $700
                          • No Visa
• Visa $150
                          • ?
• English!
Modern Methods of Data Analysis




  Kostroma, February 11 - 15, 2002
WSC1 Participants
 Country      Number
Russia          22
Armenia         3
Denmark         3
Sweden          1
USA             1

   30 total attendees
                                WSC1 Schedule
                   Monday                      Tuesday               Wednesday                Thursday
 Time          February 11, 2002           February 12, 2002       February 13, 2002       February 14, 2002
8:00 AM            Breakfast                   Breakfast               Breakfast                Breakfast

9:00 AM            Esbensen                    Rodionova                                        Esbensen


                   Free time:                  Free time:              Excursion               Free time:
11:00 AM
                     Skiing                      Skiing                 Around                   Skiing
                                                                       Kostroma
1:00 PM              Lunch                       Lunch                                           Lunch
                                                                        Lunch
                                                                                            Bus to University
2:00 PM              Geladi                  Pomerantsev
                                                                                        Esbensen          Geladi
                                                                                       Unscrambler        MatLab
                     Coffee                      Coffee                 Coffee
4:00 PM
                Bus to University           Bus to University      Bus to University             Coffee
            Esbensen          Geladi   Rodionova     Pomerantsev                        Esbensen          Geladi
5:00 PM                                                                 Geladi
           Unscrambler        MatLab     Excel          Excel                          Unscrambler        MatLab

7:00 PM              Dinner                      Dinner                                          Dinner

            Esbensen          Geladi    Esbensen          Geladi      Conference               Discussion
8:00 PM
           Unscrambler        MatLab   Unscrambler        MatLab       Banquet           of Posters Contributions

9:00 PM
               Scores & Loadings           Scores & Loadings                               Scores & Loadings
?:00 ??
                   Lectures
• Kim Esbensen
  – Introduction to Chemometrics
  – Multivariate Statistical Process Control
• Paul Geladi
  – Introduction to Multivariate Calibration
  – Multivariate Image Analysis
• Oxana Rodionova
  – Simple Interval Calculation (SIC)
• Alexey Pomerantsev
  – Non-linear Regression Analysis
Lectures
Workshops
Meals
   Fort James
Ipatiev Monastery
Leisure
      On the plane going home,
     a significant event occurred.
I was seated next to a man going home with
  his newly adopted five-year-old daughter
  (and the rest of his family). I learned a lot
  from him and met another family, also on
  their way home with a new daughter.
This was my first personal experience with
  international adoptions from Russia.
Modern Methods of Data Analysis




   Belokurikha, March 2 - 6, 2003
           Getting to Belokurikha

Friday, 28 February
• 07:00 Leave home for bus station – Charlottesville, VA
• 08:30 Bus departs for Dulles International Airport
• 11:00 Arrival at IAD – Washington, DC
• 16:00 Begin Security Check in etc.
• 18:00 Flight to JFK – New York
• 19:30 Flight to Sheremetyevo – Moscow
          Getting to Belokurikha
                      (Continued)
Saturday, 1 March
• 12:30 Arrive SVO – Moscow
• 14:00 Bus departs for Rechnoi Vokzal
• 15:00 Metro to Paveletskaya Vokzal
• 16:00 Check in for flight, purchase train ticket
• 17:00 Metro back to city center
• 18:00 Dinner and Museum with Nelly Shevlyakova
• 20:30 Metro back to Paveletskaya Vokzal
• 21:00 Train to Domodedovo
• 21:45 Arrive Domodedovo
• 23:50 Flight to Barnaul
             Getting to Belokurikha
Sunday, 2 March             (Continued)
• 07:00 Arrive Barnaul
• 08:00 Breakfast
• 09:00 Bus Departs for Belokurikha
• 13:00 Arrive in Belokurikha!
  (02:00 EST, ~42 hours after leaving home)
    WSC2 Participants
           City            Number
Moscow, Russia               5
Barnaul, Russia              6
Irkutsk, Russia              1
Yakutsk, Russia              1
Esbjerg, Denmark             1
Lappeenranta, Finland        1
Dusseldorf, Germany          1
Budapest, Hungary            1
Charlottesville, USA         1
    18 total and 7 repeat attendees
                  WSC2 Schedule
              Sunday              Monday              Tuesday           Wednesday        Thursday
 Time       March 2, 2003       March 3, 2003       March 4, 2003      March 5, 2003    March 5, 2003

8:00 AM        Breakfast
                                   Breakfast           Breakfast         Breakfast
9:00 AM                                                                                   Breakfast

                                                                                       Performances of
10:00 AM
              Traveling to     Excursion Around                                          Participants
                                                        Skiing            Skiing
              Belokurikha        Belokurikha
11:00 AM                                                                               WSC-2 Discussion


12:00 PM                                                                                    Lunch

                                    Lunch               Lunch             Lunch
1:00 PM         Lunch

2:00 PM
                                  Minkkinen             Geladi            Palyulin
                                                                                         Traveling to
                                                                                           Barnaul
3:00 PM          Rest               Coffee              Coffee            Coffee

                                 Pomerantsev           Esbensen          Minkkinen
4:00 PM
                                    Coffee              Coffee            Coffee
5:00 PM

               Esbensen          Chemometric
6:00 PM                                               Rodionova           Geladi
                                 Applications

7:00 PM

                Dinner              Dinner              Dinner
8:00 PM
                                                                         Banquet
9:00 PM
           Scores & Loadings   Scores & Loadings   Scores & Loadings
?:00 ??
Invited Lectures                                  Contributed Talks
•   Kim Esbensen (Alborg University)              •   Emese Vago & Sindor Kemeny (Budapest
     – Relationships between sampling,                University of Technology and Economics)
         analysis and chemometrics                     – Pair-wise t-Test and analysis of
     – Proper validation - the most important              variances
         thing in calibration                     •   Denis Filistovich (Altai State University)
     – Introduction to the AMT-technique               – Dynamical mechanical analysis of
•   Paul Geladi (Umea University)                          polymer composite materials
     – NIR in industrial applications             •   Katya Pomerantseva (Institute of Gene
     – Introduction to 3-way methods                  Biology)
•   Pentti Minkkinen (Lappeenranta University)         – The problem of genetic regulation and
                                                           the structure of experimental data
     – Practical applications of sampling         •   Sergei Kucheryavski (Altai State University)
         theory
     – Environmental applications of                   – Fractal analysis of the deformation
         chemometrics                                      structure of porous pseudoalloys
•   Vladimir Palyulin (Moscow State University)        – Electrical Impedance Tomography
     – QSAR/QSPR methodology: past,               •   Natalia Petrova (Institute of Non-Metallic
         present and future                           Materials)
•   Oxana Rodionova (Institute of Chemical             – Frost resistance materials for machines
    Physics RCS)                                           and mechanisms used in the northern
                                                           region
     – Simple Interval Calculation - Theory       •   Andrey Bogomolov (ACD)
         and Applications
•   Alexei Pomerantsev (Institute of Chemical          – Mutual peak matching in a series of
    Physics RCS)                                           HPLC/DAD data analysis
     – Successive Bayesian Estimation             •   Christopher Marks (University of Virginia)
•   Oleg Startsev (Altai State University)             – Chemometric investigation of
                                                           polarization curves
     – Feasibility of chemometric methods         •   Elena Shabanova (Geochemical Institute)
         application for composite material
         science                                       – Using multivariate calibrations for direct
                                                           atomic emission analysis
Sampling Altai Honey
Accommodations
Lectures & Talks
Around Belokurikha
Tserkovka Rock
Snow Skiing
Banquet and Games
Back to Barnaul and on to…
…Moscow
Thank You
 Спасибо
               Adoption News
At home, Laurel and I decided to attempt to adopt a girl,
   about five years old, from Russia and began looking for
   an agency. We were very encouraged by the support
   we received from everyone that I discussed our plans
   with at WSC2. We also received several offers of help.

We found an agency in the summer of 2003 and had the
 paperwork done by December. We waited anxiously to
 hear about a child.

We left for WSC3 without a referral, but with some hope
 that we could learn about and meet a child during our
 trip.
Modern Methods of Data Analysis




Pushkinsky Gory, February 16 - 20, 2004
St. Valentine’s
Day in Moscow
Getting to St. Petersburg…
…and on to Push Gory
                   WSC3 Participants
          City           Number               City         Number
Moscow, Russia              11     Esbjerg, Denmark          3
St. Petersburg, Russia      4      Lappeenranta, Finland     1
Tomsk, Russia               2      Abo, Finland              1
Voronezh, Russia            1      Oslo, Norway              1
Barnaul, Russia             1      Porsgrunn, Norway         1
Irkutsk, Russia             1      Aas, Norway               1
Yakutsk, Russia             1      Umea, Sweden              1
Minsk, Belarus              1      Gembloux, Belgium         1
                                   Vienna, Austria           1
                                   London, UK                1
                                   Isfahan, Iran             1
                                   Charlottesville, USA      1

                  36 total and 14 repeat attendees
                             WSC3 Schedule
               Monday              Tuesday           Wednesday             Thursday             Friday
 Time      February 16, 2004   February 17, 2004   February 18, 2004   February 19, 2004   February 20, 2004
8:00 AM                            Breakfast           Breakfast           Breakfast           Breakfast

9:00 AM                            Esbensen                                 Geladi
                                    Ergon                                  Rusinov
10:00 AM
                                  Bogolomov        Excursion Around        Sulima
11:00 AM
                                    Coffee         Pushkin’s Places        Coffee
                                 Svyatogorsky                             Reinikainen         Traveling to
12:00 PM                          Monastery                                                  St. Petersburg
                                                                        Van der Weerd
1:00 PM                             Lunch               Lunch               Lunch
                                                                           Kubicka
2:00 PM                              Naes              Varmuza
              Traveling to                                                Khayamian
               PushGory            Aristov           Kucheryavski
3:00 PM                                                                  Pomerantsev
                                 Rudnitskaya         Bondarenko
                                   Coffee               Coffee              Coffee
4:00 PM
                                  Rodionova            Palyulin
                                                                        Poster Session
5:00 PM
                                  Fernandez            Sunyaev
                                                                             Final
6:00 PM                           Free Time           Free Time
                                                                          Discussion
7:00 PM         Dinner              Dinner              Dinner            Free Time

8:00 PM
           Scores & Loadings   Scores & Loadings   Scores & Loadings       Banquet
9:00 PM
?:00 ??
                        Invited Lectures
•   Kim Esbensen
     – Reliable sampling, - chemical analysis and - chemometric data analysis
•   Tormod Naes
     – Measuring, monitoring and optimising food processes
•   Oxana Rodionova
     – Introduction to Simple Interval Calculation (SIC) method and its application for
       representative subset selection
•   Kurt Varmuza
     – Global and local chemometric models of spectra-structure relationships
•   Paul Geladi
     – Near infrared spectroscopy and calibration in industrial applications
•   Vladimir Palyulin
     – The joint application of 3D-QSAR and molecular modelling in the design of new
       ligands of AMPA and NMDA receptors
•   Satu-Pia Reinikainen
     – Wavelets: useful tool for compressing spectral data
•   Alexey Pomerantsev
     – Multivariate Statistical Process Optimization
Talks                                                                          Posters
•   Rolf Ergon                                                                 •   Lars Petersen
        –   Informative score-loading biplot for monitoring of process with          –    Critical survey of mass reduction devices in practical
            two response variables                                                        sampling (industry and laboratory)
•   Andrey Bogomolov                                                           •   Casper K. Dahl
        –   Software for interactive curve resolution using SIMPLISMA                –    Image analytical sampling - prospects and limitations
•   Igor Aristov                                                               •   Natalya Petrova
        –   The "Electronic nose": a multivariate approach                           –    Peculiarities of rubber-oil interaction under the conditions of
•   Alisa Rudnitskaya                                                                     cold climate
        –   Application of chemometrics for data processing of the             •   Andriy Kupyna
            electronic tongue                                                        –    Acoustic Chemometrics for determination of skim milk in
•   Juan A. Fernandez Pierna                                                              water - preliminary results
        –   Hyperspectral infrared technique: the use of Support Vector        •   Christopher A. Marks
            Machines (SVM) in large data sets                                        –    Chemometric investigation of polarization curves: further
•   Sergei Kucheryavski                                                                   adventures
        –   The analysis of fracture surfaces of porous metal materials        •   Rimma Safieva
            using AMT and fractal geometry methods                                   –    Chemometric analysis of oils
•   Alexander Bondarenko                                                       •   Yevgeny Slyusarenko
        –   Inverse problem in potentiodynamic electrochemical                       –    System analysis and chemometrics of modern problems in
            impedance spectroscopy                                                        common chemistry
•   Rustem Sunyaev                                                             •   Vladimir Zernov
        –   Chemometric analysis of benzine                                          –    A data-driven classification of solvents used in extraction of
•   Leon Rusinov                                                                          organic compounds
        –   Adaptation of calibration models while transferring within               –    Application of multivariate statistical methods to classification
            series of IR-spectrometers                                                    of metal ions according to their complexing properties
•   Elena Sulima                                                               •   Elena Belitskaja
        –   Features of practical realization of transferring of calibration         –    Multivariate methods for data processing in organic
            models from a master - device on working NIR - analyzers,                     geochemistry
            for the base wheat indexes analysis                                •   Elena Shabanova
•   Jaap van der Weerd                                                               –    Range of relative bias as a criterion of calibration quality
        –   FTIR imaging and multivariate analysis of drug release from              –    Modeling of data structure for multivariate calibration in
            controlled release pharmaceutical formulations                                atomic emission spectrometry
•   David Kubicka                                                              •   Yury P. Turov
        –   Application of pattern recognition methods in analysis of                –    Adaptive mathematical models of composition in analytical
            complex hydrocarbon mixtures to improve the quality of                        chemistry and earth sciences
            kinetic data                                                       •   Alexey Semenchenko
•   Taghi Khayamian                                                                  –    Explanatory data analyses of fish-breeding in Siberian lakes.
        –   Application of wavelet neural networks in multivariate data                   First forays
            analysis
Scientific Program
Accompanying Persons Program
Pushkin’s   Places
              Pushkin and Poe
Alexandr Sergeyevich          Edgar Allan Poe
  Pushkin
• 1799 – 1837                 • 1809 – 1849
   – Tsarskoye Selo               – Richmond, Virginia
     (Pushkinsky Gory)            – University of Virginia
   – St. Petersburg               – Baltimore
   – Moscow                   • First Truly American
• First Modern Russian          Writer
  Writer


        Both: •Influenced by Lord Byron
                 •Problems with Authority
                 •Died Tragically Young
H
o
t
e
l

D
r
u
s
h
b
a
This is a Test – Are you a Chemometrician?
St. Petersburg
 Дом
Ученых
St. Petersburg Apartment




          We took full advantage of the
            internet access in our apartment
            to check for messages and
            contact our adoption agency.

          We saw many reminders of our
            hopes to meet a child on this trip,
            but were unable to accomplish
            this goal.
              Adoption News
Two days(!) after we got home from WSC3, we
 were told about a 4 year old girl in Apatity
 (Murmansk Oblast) who was available for
 adoption. We sent the information we received
 to specialists for evaluation and anxiously
 awaited the results. After a tough couple of
 days, we learned enough to know we had found
 our daughter.

Fortunately for our tired bodies, it took almost a
  month to arrange the trip to go see her.
A
M
 l
e
y
e
o
t
n
a
               Alyona News
Back in Moscow, Oxana hosted a dinner for Laurel
  and me at her home. Unfortunately, all we had
  to share were pictures and video of Alyona, but
  we enjoyed our first opportunity to show off our
  daughter.

We returned home with our court date set for just
 four weeks later. This was, of course, too short
 to comfortably get everything prepared, but also
 far too long to have to wait.
                  Apatity


                       Murmansk



         Moscow



Flying


                      HOME!
Modern Methods of Data Analysis




Chernogolovka, February 15 - 18, 2005
Back in Russia!
                    WSC4 Participants
          City             Number             City         Number
Moscow, Russia               11     Lyngby, Denmark          1
Chernogolavka, Russia        14     Gembloux, Belgium        1
St. Petersburg, Russia       3      Barcelona, Spain         1
Barnaul, Russia              2      Vienna, Austria          1
Nizhniy Novgorod, Russia     2      London, UK               1
Voronezh, Russia             2      Pocatello, USA           1
Irkutsk, Russia              2      Charlottesville, USA     1
Kazan, Russia                2
Yakutsk, Russia              1
Samara, Russia               1
Troitsk, Russia              1
Ufa, Russia                  1
Kiev, Ukraine                4
Donetsk, Ukraine             1
                  54 total and 17 repeat attendees
                   WSC4 Participants
          City             Number             City         Number
Moscow, Russia               11     Lyngby, Denmark          1
Chernogolavka, Russia        14     Gembloux, Belgium        1
St. Petersburg, Russia       3      Barcelona, Spain         1
Barnaul, Russia              2      Vienna, Austria          1
Nizhniy Novgorod, Russia     2      London, UK               1
Voronezh, Russia             2      Pocatello, USA           1
Irkutsk, Russia              2      Charlottesville, USA     1
Kazan, Russia                2
Yakutsk, Russia              1
Samara, Russia               1
Troitsk, Russia              1
Ufa, Russia                  1
Kiev, Ukraine                4
Donetsk, Ukraine             1
                       WSC4 Schedule
               Monday              Tuesday           Wednesday            Thursday              Friday
 Time      February 14, 2005   February 15, 2005   February 16, 2005   February 17, 2005   February 18, 2005
8:00 AM                                                                    Breakfast
                                   Breakfast           Breakfast                               Breakfast
9:00 AM
                                   Opening
                                                     Höskuldsson
                                                                                           Fernandez Pierna
10:00 AM                           Razumov                               Excursion to
                                                                       Zvezdny Gorodok
                                                     Kucheryavski                              Palyulin
                                  Bogolomov             Coffee            Cosmonaut            Coffee
11:00 AM
                                    Coffee                              Training Center         Gribov
                                                      Free Time
12:00 PM                          Free Time                                                Closing & WSC5
                                                                                             Presentation
1:00 PM                             Lunch               Lunch               Lunch               Lunch

2:00 PM                             Tauler           Pomerantsev            Kalivas
                                                                                              Traveling to
                                   Vasiliev           Rodionova            Rusinov              Moscow
3:00 PM
                                 Shabanova              Zhilin              Bravy
              Registration          Coffee             Coffee              Coffee
4:00 PM
                                   Kalach
                                                       Varmuza
                                 Rudnitskaya
5:00 PM                                                                 Poster Session
                                Van der Weerd           Bykov
                                  Ryabenko         AnalytExpo-2005
6:00 PM
                                  Free Time           Free Time
                                                                          Free Time
7:00 PM         Dinner              Dinner              Dinner

8:00 PM
           Scores & Loadings   Scores & Loadings   Scores & Loadings       Banquet
9:00 PM
?:00 ??
                        Invited Lectures
•   Vladimir Razumov
     – Principal component analysis in photochemistry
•   Roma Tauler
     – Gray modelling approaches to investigate chemical processes
•   Juan A. Fernandez Pierna
     – Uncertainty in multivariate calibration: application to embedded NIR data
•   Kurt Varmuza
     – Exploration and classification: Applications from archaeometry to spectroscopy
•   Agnar Höskuldsson
     – The H-principle of mathematical modeling
•   Kim H. Esbensen
     – Fundamental interrelationships between sampling—analysis—chemometrics
•   John Kalivas
     – Defining Multivariate Calibration Model Complexity for Model Selection and
       Comparison
•   Alexey Pomerantsev
     – Simple View on Simple Interval Calculation (SIC)
Talks                                                                      Posters
•   I.L. Vasiliev                                                          •   Granovsky Y.V.
        –   Software package for optical emission spectrometry with arc          –    How long ago chemometrics was appearent in Russia?
            discharge                                                      •   Igor Aristov
•   Andrey Bogomolov                                                             –    Multisensor analysis of amino acids
        –   Interactive Series Baseline Correction Algorithm               •   Natalya Petrova
•   E.V. Shabanova                                                               –    Mathematic modeling of swelling degree for plastified rubbers
        –   Application of OES-AD Software Package for Developing                     in oil
            Automated Techniques                                           •   D. Kirsanov
•   Alisa Rudnitskaya                                                            –    Analysis of apples varieties - comparison of Electronic
        –   Comparison of PLS regression and Artificial Neural Network                Tongue with different analytical techniques
            for the processing of the Electronic Tongue data from          •   V. E. Tumanov
            fermentation growth media monitoring
                                                                                 –    Data Warehousing and Data Mining in Termochemistry of
•   Andrew Kalach                                                                     Free Radical Reactions
        –   Determination of Nitromethane in the Air with Piezosensors     •   A. Suleimanov
            Array Application
                                                                                 –    Optimization of a Structure of a Composite Material by a
•   Sergei Kucheryavski                                                               Method of Data Analysis
        –   Multivariate Image Classification: Comparison of AMT and       •   Sidelnikov A.V.
            Transform Based Methods
                                                                                 –    The multisensor system for voltammetric analysis of multi-
•   Alexander Ryabenko                                                                component mixtures of aromatic nitrocompounds
        –   Application of Principal Component Analysis and                •   K. Varmuza
            Parameterized Matrix Self-Modelling to the UV-Vis
            Absorption Spectra of the Zirconocene/Polymethylalumoxane            –    Prediction of the heating value of plant biomass from the
            Catalytic Systems                                                         elemental composition
•   Oxana Rodionova                                                        •   Yu. Adler
        –   Subset Selection Problem                                             –    What is a right approach to the educational process in area of
                                                                                      chemometrics in universities?
•   Sergei Zhilin
                                                                           •   Vladimir Razumov
        –   Simple Method for Outlier Detection In Fitting Experimental
            Data Under Interval Error                                            –    Program complex for simulation of chemical reactions in
                                                                                      micellar systems
•   Elena Sulima
                                                                           •   Sadovsky S.V.
        –   The extended algorithm of adaptation of calibration models
            while transferring within series of IR-spectrometers                 –    Application of two-channel FTIR spectrometer ISD-206 to
                                                                                      dairy produce quality control.
•   Jaap van der Weerd
        –   Controlled drug release from pharmaceutical tablets
•   D.E. Bykov
        –   Multilevel Approach to Analysis and Processing of Industrial
            Wastes
•   B. Bravy
        –   Remote recognition of aerosol chemicals
•   Vladimir A. Palyulin
        –   QSAR/QSPR: the universal approach to the prediction of
            properties of chemical compounds and materials
Lectures and Talks
Kindergarten in
Chernogolavka
     Star City
Cosmonaut Training Center
Banquet
                                     Best Presentation by a Young Russian Scientist




The award was enthusiastically
presented by Agnar Höskuldsson
to Sergei Zhilin from Altai State
University. Elsevier provided this
special prize, the Handbook of
Chemometrics and Qualimetrics,
Part A.
T
v
e
r
s
k
a
y
a

U
l
i
t
s
a
Modern Methods of Data Analysis




   Samara, February 18 - 23, 2006
             WSC Participants
             Other
                   Scandi
     Russia Former        Other Total Repeat
                   -navia
            Soviet
WSC1  22       3     4      1    30
WSC2    13      0              2           3   18   7
WSC3    21      1              9           5   36   14
WSC4    42      5              1           6   54   17
WSC5    34      1              8           6   49   22

         127 Unique Attendees!
                    (actually many more)
 WSC Things I am Thankful for:
• World Class Learning
  – lectures, talks, workshops, schools
  – meals, travel, coffee breaks, “scores & loadings”
• World Class Science
  – not only from the well known, but also from the
    not-so-well known
• Exotic Locations
  – travel
• Дружба
  – All WSC Organizers and Participants


and Finally…
Alyona Clara Marks
Спасибо!
Thank You!

				
DOCUMENT INFO
Shared By:
Categories:
Tags:
Stats:
views:7
posted:10/15/2011
language:English
pages:81