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Determination of hydrodynamic model based on tracer test performed in WWT plant in Kędzierzyn Koźle, Poland

100%

Frącz P. , Wotzka D.

Poznan University of Technology Academic Journals. Electrical Engineering

2016

tom No. 88

175--185

Analysis results of lithium chloride concentrations, which were measured during tracer test performed in wastewater treatment (WWT) plant placed in Kędzierzyn–Koźle, Poland, are presented in the paper. The considered WWT plant operates with a five-stage Bardenpho system for organic content reduction within activated sludge process (ASP). One of the significant factors, which have an impact on the efficiency of the ASP in a biological reactor, is its hydraulic behavior. In this study theoretical and actual retention times were determined by using of mathematical modeling. Three single and multistream dispersion models were applied, i.e. Tanks-in-Series, Extended Tanks-in-Series and a model based on the MARTIN method. Using the last model it was possible to identify multiple wastewater flows in the reactors, which include: main flow and short circuiting flows. Furthermore, it was stated that the theoretical retention times differ from the actual values, obtained through mathematical modeling.

Phytoestrogens use by Polish women

88%

Korzeniowska K. , Cieślewicz A. , Pawlaczyk M. , Pawlaczyk M. , Jabłecka A.

Acta Poloniae Pharmaceutica - Drug Research

2018

tom 75

nr 4

929-935

Objective: to evaluate knowledge about phytoestrogens among Polish menopausal women, and to assess their applicability and safety. Methods: The study included 300 women from the Wielkopolska Region, aged 40-60 years. The questionnaire was designed especially for the study. Crosstabulation tables and Perason’s chi-squared test was used for the statistical analysis. Results: 147 respondents continued to menstruate. Hormone Replacement Therapy was used by 69 subjects; 114 respondents, used phytoestrogens. The place of inhabitance influenced the reasons for not using phytoestrogens. Media, healthcare providers and personnel were the main source of information about phytoestrogens. Most of respondents perceived phytoestrogens as substances displaying a beneficial effect on health. 69% of the subjects reported positive effects of non-hormonal preparations for the relief of climacteric symptoms, mainly reduction in hot flushes and alleviation of joint pain. Conclusions: Our results support the postulate of efficacy and safety of phytoestrogen use to relieve climacteric symptoms. Both education and place of inhabitance appear to affect the opinions of the affected females about phytoestrogen use during menopause.

Krystalizacja struwitu i hydroksyapatytu w procesie usuwania związków biogennych na złożu filtracyjnym

71%

Wąsik E. , Bugajski P. , Chmielowski K. , Nowak A. , Mazur R.

Przemysł Chemiczny

2017

tom T. 96, nr 8

1739--1743

Przeprowadzono badania, mające na celu określenie, jakie zjawiska wpływają na usuwanie azotu amonowego i fosforanów podczas filtracji ścieków przez złoże w warunkach zmiennego hydraulicznego czasu zatrzymania HRT. Stwierdzono, że podstawą usuwania tych związków w złożu z naturalnym wypełnieniem (wyprażoną opoką) nie była biofiltracja, lecz procesy chemiczne. Zaobserwowano tworzenie się kryształów struwitu oraz hydroksyapatytu zarówno na powierzchni, jak i wewnątrz filtru, co było przyczyną bardzo wysokiej efektywności usuwania jonów N-NH4+ oraz PO43- i bakterii grupy coli. Badania mikroskopowe próbek osadu powstałego na powierzchni złoża, czyli w miejscu, gdzie dopływały ścieki, oraz wewnątrz filtru potwierdziły powstawanie kryształów fosforanu amonowo-magnezowego oraz apatytu.

The N-NH4+ and PO43- ions and coli bacteria-contg. preliminary purified sewage was filtered through CaO beds (for up to 192 h) and studied for formation of struvite and hydroxyapatite crystals to det. the removal degree of the contaminations. The N-NH4+ ions were removed in 96.8%, the PO43-ions in 99.8% and coli bacteria in 100%.

Automatic detection of heart diseases based on ECG signal analysis

71%

Delarue L. , Drouard P.-A. , Hourdé P. , Joulia J. , Renault V. , Kotas R.

International Journal of Microelectronics and Computer Science

2018

tom Vol. 9, nr 4

133--141

The authors provide overview of techniques used in ECG signal analysis and present their implementation in order to detect heart diseases (arrhythmias). This paper presents different means to study the ECG signals to develop automatic detection of heart diseases based on artificial intelligence.