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1

A pattern recognition approach to Emery-Dreifuss muscular dystrophy (EDMD) study

Sokołowska B., Jóźwik A., Niebroj-Dobosz I. M., Hausmanowa-Petrusewicz I.

Journal of Medical Informatics & Technologies

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2014

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Vol. 23

165--172

EN

The algorithms of pattern recognition were used for differentiation between two forms of Emery-Dreifuss muscular dystrophy (EDMD), i.e. autosomal-dominant laminopathy (AD-EDMD) and Xlinked emerynopathy (X-EDMD). A set of some matrix metalloproteinases (MMPs) and their tissue inhibitors (TIMPs) in serum of EDMD patients and healthy subjects were treated as features. In concluding MMPs and TIMPs levels are helpful to identifying the EDMD patients and the disease progress.

2

Zagrożenia powstające podczas przerobu niektórych tworzyw sztucznych

Bulikowski W., Lingas W., Majewski A., Borzęcka I., Sokołowska B., Bulikowski B., Wójcik G., Sowa I., Baj T.

Przemysł Chemiczny

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2012

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T. 91, nr 7

1467-1472

PL

Przedstawiono czynniki szkodliwe powstające podczas przetwarzania tworzyw sztucznych. Badania wykonano w Laboratorium Badania Środowiska w Gnieźnie na wybranych tworzywach sztucznych w aspekcie odniesienia do zabezpieczeń, takich jak wentylacja, izolacja, hermetyzacja oraz ewentualnego usprawnienia procesu technologicznego, zwłaszcza dbałości o właściwy stan techniczny urządzeń i narzędzi. Podczas przetwarzania niektóre tworzywa ulegają rozkładowi i degradacji do monomerów, których stężenia nie przekraczały wartości dopuszczalnych na stanowiskach pracy. Szczególną uwagę poświęcono termicznemu rozkładowi PVC, podczas którego powstaje rakotwórczy monomer chlorek winylu. Kopolimery, takie jak SBS lub ABS ulegają rozkładowi na monomery, wśród których znajduje się rakotwórczy 1,3-butadien. Po raz pierwszy zostało zaobserwowane zjawisko gorączki poniedziałkowej u narażonych na działanie styrenu. Wymaga ono dalszych obserwacji i stanowi przesłankę do opracowania nowych metod profilaktyki przy ekspozycji na ten związek.

EN

After reviewing the sources of hazards during com. plastics processing (granulation of polyolefins, prodn. of shoes by processing PVC, thermoplastic rubber and polyurethane foams, prodn. of brushes by processing polyethylene terephthalate, thermal processing of nitrile rubber, prodn. of laminates by using styrene-contg. polyster resins), some hazardous substances (dusts, HCl, ClCH=CH₂, styrene, butadiene, MeCl, (OHCH₂)₂, nitric oxides, AcMe) were detd. in work-place air by spectrophotometry and chromatog. The max. permissible concns. were exceeded in a few cases (styrene, (OHCH₂)₂) only. The max. permissible noise levels were exceeded in many cases. The phenomenon of Monday fever at people exposed to styrene was also obsd.

3

The pair-wise linear classifier and the k-NN rule in application to ALS progression differentiation

Sokołowska B., Jóźwik A., Niebroj-Dobosz I., Janik P.

Journal of Medical Informatics & Technologies

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2012

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Vol. 20

79--83

EN

The two kinds of classifier based on the k-NN rule, the standard and the parallel version, were used for recognition of severity of ALS disease. In case of the second classifier version, feature selection was done separately for each pair of classes. The error rate, estimated by the leave one out method, was used as a criterion as for determination the optimum values of k's as well as for feature selection. All features selected in this manner were used in the standard and in the parallel classifier based on k-NN rule. Furthermore, only for the verification purpose, the linear classifier was applied. For this kind of classifier the error rates were calculated by use the training set also as a testing one. The linear classifier was trained by the error correction algorithm with a modified stop condition. The data set concerned with the healthy subjects and patients with amyotrophic lateral sclerosis (ALS). The set of several biomarkers such as erythropoietin, matrix metalloproteinases and their tissue inhibitors measured in serum and cerebrospinal fluid (CSF) were treated as features. It was shown that CSF biomarkers were very sensitive for the ALS progress.

4

Estimation of significance of AlkB and AlkA proteins in DNA repair in Escherichia coli model

Sokołowska B., Maciejewska A. M., Jóźwik A., Kuśmierek J. T.

Journal of Medical Informatics & Technologies

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2011

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Vol. 17

321--326

EN

The paper concerns estimation of significance of differences of mutagenesis level between the wild-type strain (wt) and its derivatives which differ in DNA repair ability, namely alkA and alkB strain, devoided AlkA glycosylase and AlkB dioxygenase activity, respectively. The strains were analyzed for their ability to repair 1,N6-ethenoadenine (εA) - chloroacetaldehyde adduct to DNA. The analysis was done using classical statistical and pattern recognition methods. The obtained results confirmed that AlkB dioxygenase plays the most important role in εA repair in E. coli in the experimental modeling.

5

Budownictwo zharmonizowane czyli budowanie z oceną wpływu obiektu na środowisko naturalne

Sokołowska B.

Warstwy, Dachy i Ściany

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2010

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nr 1

17-19

6

Pattern recognition approach for analysis of metabolic response to intermittent hypoxia

Sokołowska B., Jóźwik A.

Journal of Medical Informatics & Technologies

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2010

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Vol. 15

177--183

EN

Intermittent hypoxia (IH) elicits two forms of respiratory plasticity, which are initiated during and after exposure to IH, i.e. a long-term facilitation and a progressive augmentation of respiratory motor output. IH is often used as a model of sleep apnea and/or respiratory plasticity in humans and animals. Procedures of IH are also applied in sport medicine and rehabilitation of respiratory diseases. The aim of the present paper is an analysis of a metabolic response to acute intermittent hypoxia in a rat model. The animals were placed and monitored in a whole body plethysmographic chamber. The rats were exposed to five consecutive cycles consisting of 10-min hypoxic stimulus period separated by 10-min normoxic intervals, and additionally they were monitored up to 1 h after the final hypoxic exposure. The metabolism software analyzer recorded following variables (features): metabolic rate, carbon dioxide production, oxygen consumption and respiratory quotient. The obtained results demonstrated that acute IH causes metabolic effects during and after intermittent stimuli, which may be effectively recognized by an application of the k-NN classifiers.

7

Analysis of matrix metalloproteinases (MMPs) in cerebrospinal fluid of patients with amyotrophic lateral sclerosis (ALS)

Sokołowska B., Jóźwik A., Niebroj-Dobosz I., Janik P., Kwieciński H.

Journal of Medical Informatics & Technologies

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2009

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Vol. 13

147--150

EN

Matrix metalloproteinases (MMPs) are implicated in the pathogenesis of motor neuron degeneration in amyotrophic lateral sclerosis (ALS) and might be potential markers of diagnosis, prognosis and monitoring treatment effects. The aim of the present study was evaluation of the MMPs significance in cerebrospinal fluid (CSF MMPs) of patients with ALS in relation to severity of the disease. Metalloproteinases MT-MMP-1, MMP-2, MMP-9 and additionally age of subjects and disease duration were analyzed. The results demonstrate that the error of differentiation between healthy subjects and ALS patients (for MMP-2 feature) as well as between mild and severe ALS states (for CSF MMPs set) equalled to 0.033. In conclusion, the pattern recognition approach may be useful for differentation of ALS progressing on the basis of CSF MMPs features.

8

Pattern recognition approach to differentiation of disease severity in patients with amyotrophic lateral sclerosis

Jóźwik A., Sokołowska B., Niebroj-Dobosz I., Janik P., Kwieciński H.

Journal of Medical Informatics & Technologies

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2008

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Vol. 12

143--147

EN

A possibility of recognition of the clinical status of patients with amyotrophic lateral sclerosis (ALS) in relation to severity of the disease was investigated. Three groups: (i) healthy controls (n=15) and two subgroups of ALS patients (ii) mild (n=15) and (iii) severe (n=15) were considered as classes. Four features of the subjects: (i) their age (AGE) (ii) erythropoietin concentration in serum (SERUM), (iii) in cerebrospinal fluid (CSF), and (iv) duration time of the disease (Tdis) were used for classifier construction based on the k Nearest Neighbours (k-NN) rule, known from pattern recognition theory. The presented results demonstrate that the pattern recognition approach may be useful for the evaluation of the severity of the ALS disease.

9

Application of the k-NN classifier for mutagenesis tests. Recognition of wild type and defective in DNA repair bacterial strains on the basis of adaptive response to alkylating agents

Maciejewska A. M., Jóźwik A., Kuśmierek J. T., Sokołowska B.

Biocybernetics and Biomedical Engineering

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2008

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Vol. 28, no. 3

45-50

EN

The k-Nearest Neighbor classifier (k-NN) was applied to differentiate two bacterial strains, the wild type and its mug derivative. Bacterial cells were exposed to different concentrations of chloroacetaldehyde and studied under two different conditions, i.e. with and without induction of an adaptive response. We evaluated the influence of adaptation on the wt and mug strains by estimating the probability of misclassification to the class: no adaptation or adaptation. We have also checked differentiation between wt and mug, separately for adapted and non-adapted conditions. Our results confirm the usefulness of the k-NN classifier as a tool for statistical analysis of results of mutagenesis tests.

10

Dachy zielone w aspekcie ekologiczno-technicznym

Sokołowska B.

Warstwy, Dachy i Ściany

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2007

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nr 4

59-62

11

Niepewność pomiaru

Sokołowska B.

LAB Laboratoria, Aparatura, Badania

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2006

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R. 11, nr 5

28-31

12

Precyzja metod ilościowych : statystyka w mikrobiologii żywności. Cz. 1

Sokołowska B.

LAB Laboratoria, Aparatura, Badania

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2005

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R. 10, nr 2

37-38

13

Czułość i specyficzność jakościowych metod mikrobiologicznych : statystyka w mikrobiologii żywności

Sokołowska B.

LAB Laboratoria, Aparatura, Badania

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2005

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R. 10, nr 3

30-32

14

Znormalizowane normy mikrobiologiczne : sprawdzanie w warunkach laboratorium

Sokołowska B.

LAB Laboratoria, Aparatura, Badania

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2004

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R. 9, nr 1

34-39

PL

Limity ilościowe, dotyczące zawartości drobnoustrojów w żywności, zostały określone w aktualnych Rozporządzeniach Ministra Zdrowia (8, 11) oraz Ministra Rolnictwa i Rozwoju Wsi (9, 10, 12). Rozporządzenia te nie precyzują jednak metod badawczych, pozostawiając ich wybór w gestii laboratorium.

15

Zapewnienie jakości wyników badań mikrobiologicznych żywności

Sokołowska B.

LAB Laboratoria, Aparatura, Badania

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2003

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R. 8, nr 4

40-42

PL

Bliska perspektywa przystąpienia Polski do Unii Europejskiej zobowiązuje do dostosowania się do przepisów technicznych i standardów w wielu dziedzinach, miedzy innymi również w dziedzinie badań laboratoryjnych i akredytacji laboratoriów wykonujących badania żywności.

16

Recognition of pathological states in arterial blood by distance based techniques

Sokołowska B., Jóźwik A.

Journal of Medical Informatics & Technologies

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2003

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Vol. 5

MI23--30

EN

The paper presents the application of some distance based pattern recognition algorithms for recognition of pathological states in respiratory system on the basis of the arterial blood gasometry (features pH, pCO2, pO2). In our biological model two experimental situations were considered: 1) the intact animals and 2) the main inspiratory muscles paralyzed (after acute of bilateral phrenicotomy). The comparison of the mentioned three features in the two conditions was the main goal of the present study. The analyzed biological data set contained 38 in class 1 (muscle function preserved) and 36 in class 2 (after diaphragm paralyzed) measurements. It was discovered that a significant part of the measurements could be correctly recognized as the ones coming from the first or the second class according to gasometric measurements.

17

Some problems with construction of the k-NN classifier for recognition of an experimental respiration pathology

Jóźwik A., Sokołowska B.

Journal of Medical Informatics & Technologies

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2002

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Vol. 3

MI89--97

EN

An objective of the work is to demonstrate some difficulties with construction of a classifier based on the k-NN rule. The standard k-NN classifier and the parallel k-NN classifier have been chosen as the two most powerful approaches. This kind of classifiers has been applied to automatic recognition of diaphragm paralysis degree. The classifier construction consists in determination of the number of nearest neighbors, selection of features and estimation of the classification quality. Three classes of muscle pathology, including the control class, and five ventilatory parameters are taken into account. The data concern a model of the diaphragm pathology in a cat. The animals were forced to breathe in three different experimental situations: air, hypercapnic and hypoxic conditions. A separate classifier is constructed for each kind of the mentioned situations. The calculation of the misclassification rate is based on the leave one out and on the testing set method. Several computational experiments are suggested for the correct feature selection, the classifier type choice and the misclassification probability estimation.

18

An example of computer aided decision-making system for recognition of respiration pathology

Jóźwik A., Sokołowska B., Budzińska K.

Journal of Medical Informatics & Technologies

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2001

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Vol. 2, Part. 1

MI41--MI48

EN

A main objective of the work was presentation of a new statistic approach to an analysis of respiration data. The breathing with intact and denervated diaphragm was compared. The respiration process was desciribed by three parameters: breathing frequency, tidal volume, and minute ventilation. Experimental data concerned a group of twelve anaesthetised cats. These data were analysed by a modification of the well-known k nearest neighbour rule (k-NN). It has been adopted from the statistical pattern recognition theory. The three ventilatory parameters were used to recognise whether we deal with the normal or the pathological case. Certain percentage of misclassifications must be taken into account. This misclassification rate is a measure how strong is the dependence between the ventilation parameters and preservation of the diaphragm innervation. The proposed method promises good differentiation of the two compared ways of respiration. It offers nearly five times smaller misclassification rate as compared with the standard k-NN rule.

19

Application of k-NN classifier and Fisher-test in analysis of cells culture model

Jóźwik A., Faff L., Sokołowska B.

Journal of Medical Informatics & Technologies

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2000

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Vol. 1

CS 15--20

EN

The paper deals with determination of the LPS factor influence and the significance of Na+ -contained and Na+ -free HEPES solution on a behavior of microglial cells cultured in vitro. A behavior of microglial cells is characterized by 14 parameters. The dependence between these parameters and a presence of LPS factor or natrium ions has been studied by use of the “k nearest neighbor” (k-NN) rule taken from the pattern recognition theory. The obtained computational results were verified by the Fisher test.