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Wyświetlanie 1-3 z 3
Tytuł:
Removal of copper, zinc and iron from water solutions by spruce sawdust adsorption
Autorzy:
Kovacova, Zdenka
Demcak, Stefan
Balintova, Magdalena
Powiązania:
https://bibliotekanauki.pl/articles/95649.pdf
Data publikacji:
2019
Wydawca:
Fundacja Ekonomistów Środowiska i Zasobów Naturalnych
Tematy:
adsorption
model solution
spruce sawdust
heavy metal
adsorpcja
rozwiązanie modelowe
trociny świerkowe
metal ciężki
Opis:
The water pollution by toxic elements is one of the major problems threatening human health as well as the quality of the environment. Sorption is considered a cost-effective method that is able to effectively remove heavy metals. During past few years, researches have been researching usage of low-cost adsorbents like bark, lignin, chitosan peat moss and sawdust. This paper deals with the study of copper, zinc and iron adsorption by adsorption of spruce sawdust obtained as a by-product from locally used wood. Raw spruce sawdust was used to remove heavy metal ions from the model solutions with ion concentration of 10 mg/L during 24 hours or 5, 10, 15, 30, 45, 60, 120 min, respectively. Fourier-transform infrared spectroscopy was applied to determine functional groups of sawdust. Sorption efficiency was higher than 67% in short-time experiments and higher than 75% for one day experiments in all tested cations.
Źródło:
Ekonomia i Środowisko; 2019, 3; 64-74
0867-8898
Pojawia się w:
Ekonomia i Środowisko
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Sorption isotherm study of manganese removal from aqueous solutions by natural and MnO2-coated zeolite
Autorzy:
Demcak, Stefan
Kovacova, Zdenka
Balintova, Magdalena
Fazekas, Juraj
Zinicovscaia, Inga
Powiązania:
https://bibliotekanauki.pl/articles/2032858.pdf
Data publikacji:
2021
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
adsorption
MnO2
zeolite
isothermal model
adsorpcja
zeolit
model izotermiczny
Opis:
The applicability of the natural and MnO2-coated zeolite as sorbent for the removal of Mn(II) from synthetic solutions has been investigated. Batch experiments were carried out to determine the influence of pH and Mn(II) concentration on the sorption process. A maximum removal efficiency (98.9%) was observed for modified zeolite with the concentration of 10 mg/dm3 of manganese in solution. The equilibrium data showed a very good correlation for both Langmuir and Freundlich sorption models and this suggests both monolayer adsorption and a heterogeneous surface existence. Maximum sorption capacity calculated from the Langmuir model constituted 5.57 mg/g for natural zeolite and 13.41 mg/g for modified zeolite.
Źródło:
Environment Protection Engineering; 2021, 47, 3; 17-24
0324-8828
Pojawia się w:
Environment Protection Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The economics of deep and machine learning-based algorithms for COVID-19 prediction, detection, and diagnosis shaping the organizational management of hospitals
Autorzy:
Lăzăroiu, George
Gedeon, Tom
Rogalska, Elżbieta
Andronie, Mihai
Frajtova Michalikova, Katarina
Musova, Zdenka
Iatagan, Mariana
Uță, Cristian
Michalkova, Lucia
Kovacova, Maria
Ștefănescu, Roxana
Hurloiu, Iulian
Zabojnik, Stanislav
Stefko, Robert
Dijmărescu, Adrian
Dijmărescu, Irina
Geamănu, Marinela
Powiązania:
https://bibliotekanauki.pl/articles/39832736.pdf
Data publikacji:
2024
Wydawca:
Instytut Badań Gospodarczych
Tematy:
deep and machine learning
COVID 19
prediction
detection
diagnosis
organizational management
hospital
Opis:
Research background: Deep and machine learning-based algorithms can assist in COVID-19 image-based medical diagnosis and symptom tracing, optimize intensive care unit admission, and use clinical data to determine patient prioritization and mortality risk, being pivotal in qualitative care provision, reducing medical errors, and increasing patient survival rates, thus diminishing the massive healthcare system burden in relation to severe COVID-19 inpatient stay duration, while increasing operational costs throughout the organizational management of hospitals. Data-driven financial and scenario-based contingency planning, predictive modelling tools, and risk pooling mechanisms should be deployed for additional medical equipment and unforeseen healthcare demand expenses. Purpose of the article: We show that deep and machine learning-based and clinical decision making systems can optimize patient survival likelihood and treatment outcomes with regard to susceptible, infected, and recovered individuals, performing accurate analyses by data modeling based on vital and clinical signs, surveillance data, and infection-related biomarkers, and furthering hospital facility optimization in terms of intensive care unit bed allocation. Methods: The review software systems employed for article screening and quality evaluation were: AMSTAR, AXIS, DistillerSR, Eppi-Reviewer, MMAT, PICO Portal, Rayyan, ROBIS, and SRDR. Findings & value added: Deep and machine learning-based clinical decision support tools can forecast COVID-19 spread, confirmed cases, and infection and mortality rates for data-driven appropriate treatment and resource allocations in effective therapeutic and diagnosis protocol development, by determining suitable measures and regulations and by using symptoms and comorbidities, vital signs, clinical and laboratory data and medical records across intensive care units, impacting the healthcare financing infrastructure. As a result of heightened use of personal protective equipment, hospital pharmacy and medication, outpatient treatment, and medical supplies, revenue loss and financial vulnerability occur, also due to expenses related to hiring additional staff and to critical resource expenditures. Hospital costs for COVID-19 medical care, screening, treatment capacity expansion, and personal protective equipment can lead to further financial losses while affecting COVID-19 frontline hospital workers and patients.
Źródło:
Oeconomia Copernicana; 2024, 15, 1; 27-58
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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