12 research outputs found
Review
Mrs Jolanta Wadowska-Kr贸l, MD, was born in Katowice. She graduated from the Faculty of Medicine of the Medical University of Silesia in Zabrze and in 1968 completed basic specialist training in paediatric medicine. During this period, she started working in a district clinic in Szopienice, and then she worked in D膮br贸wka Ma艂a. She served children and youth with her help until 2011. This is how every review usually begins, with the author then focusing on the scientific achievements of the Honorary Doctor. Nevertheless, I will go off the beaten track with the review. I will discuss an exceptional person and a fundamental problem that remains relevant and sorrowful despite the passage of years (Fragment tekstu)
Recenzja
Pani Doktor Jolanta Wadowska-Kr贸l urodzi艂a si臋 w Katowicach. Uko艅czy艂a studia na Wydziale Lekarskim 艢l膮skiej Akademii Medycznej w Zabrzu, a w 1968 roku zdoby艂a specjalizacj臋 z zakresu pediatrii. W tym okresie rozpocz臋艂a prac臋 w poradni rejonowej w Szopienicach, a nast臋pnie pracowa艂a w D膮br贸wce Ma艂ej. S艂u偶y艂a sw膮 pomoc膮 dzieciom i m艂odzie偶y do 2011 roku. Tak zazwyczaj rozpoczyna si臋 ka偶da recenzja, kt贸rej autor w dalszej jej cz臋艣ci skupia si臋 na naukowych osi膮gni臋ciach Doktoranta. Niemniej jednak moja recenzja 艂amie
utarty kanon, gdy偶 m贸wi臋 w niej o wyj膮tkowej osobie i niezwykle wa偶nym problemie, kt贸ry mimo up艂ywu lat jest wci膮偶 aktualny i bolesny. Zwa偶ywszy na rang臋 zas艂ug Pani Doktor Jolanty Wadowskiej-Kr贸l, kt贸re materializuj膮 si臋 przede wszystkim w wymiarze moralnym, ludzkim i spo艂ecznym, postanowi艂em osadzi膰 moj膮 recenzj臋 w historii naszego 艣l膮skiego regionu, nakre艣li膰 w niej bardzo szeroki kontekst problemu, a tak偶e wple艣膰 narracj臋 o pi臋knej sylwetce osoby, kt贸rej determinacja i po艣wi臋cenie uratowa艂y wiele istnie艅, w szczeg贸lno艣ci
dzieci (Fragment tekstu)
Near-infrared hyperspectral imaging for polymer particle size estimation
This study examines the potential of near-infrared hyperspectral imaging for assessing the size of polymer
particles in model fractions based on the scattering phenomena. Different fractions of ground polymers, either
polymethyl methacrylate or polypropylene, were characterized by near-infrared spectra collected between 900
and 1700 nm. The possibility to estimate the size of polymer particles using hyperspectral images was confronted
with a basic single spot near-infrared measurement. Hyperspectral imaging, in addition to the standard spectral
data dimension, provides information about the spatial distribution of sample components and reveals changes in
physical properties. Therefore, one can gain a better insight into the scattering phenomena and study the physical
inhomogeneity of a sample in terms of particle size distribution. The partial least-squares models constructed to
estimate particle size of polymers that were characterized by hyperspectral images (a pixel-based approach)
outperforms models built for mean spectra regardless of the considered powdered polymer
Assessment of the Kernel Gram Matrix Representation of Data in Order to Avoid the Alignment of Chromatographic Signals
This article discusses the possibility of exploratory data analysis of samples described by
second-order chromatographic data affected by peak shifts. In particular, the potential of the kernel
Gram matrix representation as an alternative to the necessary and time-consuming alignment step is
evaluated. It was demonstrated through several simulation studies and comparisons that even small
peak shifts can be a substantial source of data variance, and they can easily hamper the interpretation
of chromatographic data. When peak shifts are small, their negative effect is far more destructive
than the impact of relatively large levels of the Gaussian noise, heteroscedastic noise, and signal鈥檚
baseline. The Gram principal component analysis approach has proven to be a well-suited tool for
exploratory analysis of chromatographic signals collected using the diode-array detector in which
sample-to-sample peak shifts were observed
Studying the stability of Solvent Red 19 and 23 as excise duty components under the influence of controlled factors
In this study, we examine the chemical stability of two disazo dyes, namely Solvent Red 19 and 23 (SR 19 and SR
23), under simulated conditions. Both dyes are considered to be chemically stable under normal exploitation
conditions and therefore, are used extensively as excise duty components that enable a rapid visual verification
of the tax levels that were imposed on fuel products as well as identifying fuel usage. However, the results from
this study confirmed that the colour of the samples that had been fortified with either SR 19 or SR 23 fades under
the influence of external conditions such as UV-A irradiation and temperature over time. The UV-A irradiation
was the dominant factor that was responsible for the colour of the samples to fade in two designed experiments
that were carried out independently for two model systems. The analysis of the UV/Vis and fluorescence spectra
as well as the interpretation of the changes that were observed in the chromatographic profiles provided substantial
evidence that the colour fading was caused by the photodegradation of the disazo dyes, which also
occurs in non-polar media including fuel products. SR 19 is more stable than SR 23
Detection of discoloration in diesel fuel based on gas chromatographic fingerprints
In the countries of the European Community, diesel fuel samples are spiked with Solvent Yellow 124 and either Solvent Red 19 or Solvent Red 164. Their presence at a given concentration indicates the specific tax rate and determines the usage of fuel. The removal of these so-called excise duty components, which is known as fuel "laundering", is an illegal action that causes a substantial loss in a government's budget. The aim of our study was to prove that genuine diesel fuel samples and their counterfeit variants (obtained from a simulated sorption process) can be differentiated by using their gas chromatographic fingerprints that are registered with a flame ionization detector. To achieve this aim, a discriminant partial least squares analysis, PLS-DA, for the genuine and counterfeit oil fingerprints after a baseline correction and the alignment of peaks was constructed and validated. Uninformative variables elimination (UVE), variable importance in projection (VIP), and selectivity ratio (SR), which were coupled with a bootstrap procedure, were adapted in PLS-DA in order to limit the possibility of model overfitting. Several major chemical components within the regions that are relevant to the discriminant problem were suggested as being the most influential. We also found that the bootstrap variants of UVE-PLS-DA and SR-PLS-DA have excellent predictive abilities for a limited number of gas chromatographic features, 14 and 16, respectively. This conclusion was also supported by the unitary values that were obtained for the area under the receiver operating curve (AUC) independently for the model and test sets
The 42nd Symposium Chromatographic Methods of Investigating Organic Compounds : Book of abstracts
The 42nd Symposium Chromatographic Methods of Investigating Organic Compounds : Book of abstracts. June 4-7, 2019, Szczyrk, Polan