Archiwalia izb przemysłowo-handlowych na Ziemiach Odzyskanych

W rozdziale przedstawiona została spuścizna archiwalna dotycząca izb przemysłowo-handlowych na Ziemiach Odzyskanych zgromadzona w archiwach w Olsztynie, Opolu, Szczecinie i Wrocławiu. Prezentowane archiwalia omówiono pod kątem ich zawartości i ewentualnie przydatności do dalszych badań. Najwięcej miejsca poświęcono na opisanie archiwaliów Ekspozytury Izby Przemysłowo-Handlowej w Opolu. Tekst został również wzbogacony w przypisach o biogramy czołowych działaczy związanych z opisywanymi izbami przemysłowo-handlowymi i ich ekspozyturami

Wizerunek medialny Platformy Obywatelskiej przed wyborami parlamentarnymi w roku 2007 w polskiej prasie codziennej. Retoryczna analiza dyskursu

W artykule prezentuję wyniki analizy dyskursu prasowego „Gazety Wyborczej” i „Rzeczpospolitej” poświęconego wizerunkowi „Platformy Obywatelskiej” w ostatnim tygodniu kampanii wyborczej przed wyborami parlamentarnymi z roku 2007. Przyjmując jako metodę retoryczną analizę dyskursu staram się pokazać jak dwa różne dzienniki opisując te same wydarzenia mogą wpływać na ich interpretację wśród czytelników. W analizie porównane zostały m.in. takie elementy dyskursu jak: język tekstów i nagłówków, elementy stylistyczne, chwyty retoryczne, dobór rozmówców i tematów

Applying Machine Learning to Study Infrastructure Anomalies in a Mid-size Data Center -- Preliminary Considerations

Today, data centers deal with fast growing data volumes. To deliver services, they deploy growing amount of heterogeneous hardware. As a result, it becomes practically impossible to apply human-based data center management. For instance, in a real-world data center, with 500+ computers, delivering data, computational, and network services, it becomes impossible to visualize, and understand, causal relationships among variables describing performance of monitored resources. However, it is possible to collect data describing behavior of individual nodes. Hence, such data may be used to analyze/model system performance. In particular, it may be applied to recognize and predict anomalies in system behavior. Furthermore, collected data should allow finding the cause(s) of anomalies. Therefore, “data-driven approaches” have been applied to the real-world data, to find, so called, Root Cause of anomalies

Chemically activated poly(furfuryl alcohol)-derived CMK-3 carbon catalysts for the oxidative dehydrogenation of ethylbenzene

The surface of CMK-3 carbon, synthesized by the reversible replication of mesoporous silica (SBA-15) using poly(furfuryl alcohol) as a carbon precursor, was activated by wet oxidation with an aqueous solution of HNO3 or H2O2. The process was performed at 50 °C using solution containing different concentrations of the oxidizing agent. It was found that during the modification no significant changes in textural and structural properties of CMK-3 replica occurred. However, the treatment resulted in the formation of appreciable amounts of surface species containing oxygen. XPS and DRIFT spectroscopy allowed to identify and quantify the surface functional groups. Their stability was studied by TG-FTIR measurements. CO and CO2 were found as main gaseous products evolved during thermal decomposition under inert atmosphere. Finally, the modified samples were tested in the catalytic oxidative dehydrogenation of ethylbenzene to styrene at 350 °C in the presence of oxygen as an oxidizing agent (at O2/ethylbenzene molar ratio of 1.0 and 3.0). At the beginning of the catalytic run, the highest styrene yield and selectivity was achieved at the lower O2 content over the catalysts treated with nitric acid. Nevertheless, all studied catalysts underwent a gradual deactivation due to coke formation and changes in the distribution of surface moieties.This work was supported by the Polish National Science Centre under the grant no. DEC–2011/01/N/ST5/05595. The research was carried out with the equipment purchased thanks to the financial support of the European Regional Development Fund in the framework of the Polish Innovation Economy Operational Program(contract No. POIG.02.01.00-12-023/08)

Thermal transformation of polyacrylonitrile deposited on SBA-15 type silica : effect on adsorption capacity of methyl-ethyl ketone vapor

Thermogravimetry, diffuse reflectance infrared Fourier transform spectroscopy, and X-ray photoelectron spectroscopy (XPS) were used for the studying of ther- mally induced structural changes of polyacrylonitrile (PAN) deposited on the surface of SBA-15 type meso- porous silica. Polymer was introduced onto the support by the precipitation polymerization of acrylonitrile in aqueous suspension of SBA-15. Low temperature transformation (to 723 K) of the deposited PAN was analyzed. It was found that at about 523 K, exothermic cyclization of polymer chains to the so-called ladder form of PAN occurred. However, the total cyclization of PAN required higher carbonization temperatures, at which gradual dehydroge- nation followed by graphitization was initiated. XPS revealed that the cyclic form of PAN and a relatively large amount of carbonyl species, formed during the carboniza- tion of the PAN/SBA-15 composite at 623 K, were responsible for the high sorption capacity in the methyl– ethyl ketone (MEK) vapor elimination. The efficiency in the MEK adsorption was also influenced by the content of PAN-derived carbon deposited on the SBA-15 surfac

On mechanism of formation of SBA-15/furfuryl alcohol-derived mesoporous carbon replicas and its relationship with catalytic activity in oxidative dehydrogenation of ethylbenzene

A series of CMK-3-like carbon replicas was synthesized by precipitation polycondensation of furfuryl alcohol in an aqueous slurry of SBA-15 at a polymer/SiO2 mass ratio of 0.50–2.00. Changes in textural and structural parameters of SBA-15 after polymer deposition were studied by N2 adsorption and X-ray diffraction. Morphology of the replicas was investigated by transmission electron microscopy, while their surface composition was determined by temperature-programmed desorption and X-ray photoelectron spectroscopy. The mechanism of deposition of poly(furfuryl alcohol) (PFA) onto silica surface was elucidated. It was found that PFA accumulates in SBA-15 pores randomly; certain channels are completely filled, while others remain partially empty. The incomplete filling of mesopores results in “pseudo-CMK-3” structures featuring the bimodal porosity (the typical mesopores of CMK-3 are accompanied by broader ones formed by the coalescence of adjacent partially hollow pores). The total filling of pores with PFA leads to the formation of good-quality CMK-3. The carbon replicas exhibited the presence of abundant amounts of superficial oxygen-containing moieties. These entities are responsible for high activity of the materials in the oxidative dehydrogenation (ODH) of ethylbenzene, bringing evidence supporting the mechanism of active coke, considered as governing the catalytic performance of carbon materials in ODH of alkanes.This work was supported by the Polish National Science Centre under the grant no. DEC-2011/01/N/ST5/05595. The research was carried out with the equipment purchased thanks to the financial support of the European Regional Development Fund in the framework of the Polish Innovation Economy Operational Program (contract No. POIG.02.01.00-12-023/08). The research was carried out using the infrastructure of the AGH Centre of Energy, AGH University of Science and Technology

Fabrication, modeling and integration of a silicon technology force sensor in a piezoelectric micro-manipulator.

International audienceThis work presents the results of the integration of a force sensor fabricated with the silicon technology in a microgripper actuated by a piezoactuator system. The force sensor consists of a silicon box with an output beam. Forces acting of the beam are sensed in the clamping where the stress is maximum. The voltage read out is made by a Wheatstone bridge. Scaling of force sensors has been done using analytical and numerical tools. Piezoresistivity in the silicon sensor permits measurements of forces of several tens of mN with a resolution of 10 μN. Characterisation of sensors in the laboratory has shown the range of deflections obtained for an input force. The former sensor has been later integrated in a piezoelectric micromanipulator. The aim of this integration has been the characterization of the sensor in this new configuration and measurements of handling forces during the manipulation of micro samples in SEM and standard laboratory conditions. Results show that a force range from some mN to some hundreds of mN is measured for a sensing micromanipulator

Proteomic patterns analysis with multivariate calculations as a promising tool for prompt differentiation of early stage lung tissue with cancer and unchanged tissue material

<p>Abstract</p> <p>Background</p> <p>Lung cancer diagnosis in tissue material with commonly used histological techniques is sometimes inconvenient and in a number of cases leads to ambiguous conclusions. Frequently advanced immunostaining techniques have to be employed, yet they are both time consuming and limited. In this study a proteomic approach is presented which may help provide unambiguous pathologic diagnosis of tissue material.</p> <p>Methods</p> <p>Lung tissue material found to be pathologically changed was prepared to isolate proteome with fast and non selective procedure. Isolated peptides and proteins in ranging from 3.5 to 20 kDa were analysed directly using high resolution mass spectrometer (MALDI-TOF/TOF) with sinapic acid as a matrix. Recorded complex spectra of a single run were then analyzed with multivariate statistical analysis algorithms (principle component analysis, classification methods). In the applied protocol we focused on obtaining the spectra richest in protein signals constituting a pattern of change within the sample containing detailed information about its protein composition. Advanced statistical methods were to indicate differences between examined groups.</p> <p>Results</p> <p>Obtained results indicate changes in proteome profiles of changed tissues in comparison to physiologically unchanged material (control group) which were reflected in the result of principle component analysis (PCA). Points representing spectra of control group were located in different areas of multidimensional space and were less diffused in comparison to cancer tissues. Three different classification algorithms showed recognition capability of 100% regarding classification of examined material into an appropriate group.</p> <p>Conclusion</p> <p>The application of the presented protocol and method enabled finding pathological changes in tissue material regardless of localization and size of abnormalities in the sample volume. Proteomic profile as a complex, rich in signals spectrum of proteins can be expressed as a single point in multidimensional space and than analysed using advanced statistical methods. This approach seems to provide more precise information about a pathology and may be considered in futer evaluation of biomarkers for clinical applications in different pathology. Multiparameter statistical methods may be helpful in elucidation of newly expressed sensitive biomarkers defined as many factors "in one point".</p