9 research outputs found

    Pedagogues and Social Workers - Challenges of Collaboration

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    In their work, pedagogues and social workers respond to many pedagogical and social challenges that children and/or their families face. In order to successfully address these challenges, it is necessary to achieve a quality collaboration between the school and the social welfare centre. Seeking an answer to the question of quality of the collaboration, three research questions were asked in this research. The answer was reached using a semi-structured interview. The results showed that research participants assessed the following as important: collaboration (they also offered suggestions on how it could be improved), their own education and training, personality traits and personal views of “helpers”, the need to harmonise legislation and to employ social workers in schools as members of professional counselling services

    Potencijalna primjena hladne plazme za kontrolu kvasca Brettanomyces bruxellensis u vinu

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    The aim of this work was to investigate the effect of high voltage electrical discharge (HVED) plasma on inactivation of Brettanomyces bruxellensis yeast in red wine. Research was conducted in two phases. Firstly, the efficacy of two main plasma parameters was examined - frequency (60, 90 and 120 Hz) and treatment duration (3, 5, 10, 20 and 30 min). Second phase included monitoring long-term effect of HVED plasma using optimal frequency during selected treatment durations, where culturability of B. bruxellensis was determined after 30, 60 and 90 days of storage. Results show that frequency of 120 Hz caused slightly higher inactivation than the lower ones. Furthermore, longer treatment durations resulted in significantly higher inactivation, wherein the treatment of 30 min showed the best results. Finally, during storage period, the inactivation effect of HVED plasma was reversed and B. bruxellensis yeast recovered almost completely in treated wine.Cilj ovog istraživanja bio je utvrditi utjecaj visokonaponskog električnog pražnjenja - hladne plazme na inaktivaciju kvasca Brettanomyces bruxellensis u crnom vinu. Istraživanje je provedeno u dvije faze. U prvoj fazi je istražena učinkovitost dva glavna procesna parametra - frekvencije (60, 90 i 120 Hz) i trajanja tretmana (3, 5, 10, 20 i 30 min). Druga faza je obuhvatila praćenje dugoročnog učinka hladne plazme, uz primjenu optimalne frekvencije tijekom različitih vremena tretiranja pri čemu je prisutna populacija kvasca B. bruxellensis utvrđena praćenjem rasta kolonija kvasca na selektivnoj podlozi nakon 30, 60 i 90 dana skladištenja. Utvrđeno je kako je primjena frekvencije od 120 Hz rezultirala blago povećanom inaktivacijom kvasca B. bruxellensis u usporedbi s primjenom nižih frekvencija. Nadalje, duža vremena tretiranja rezultirala su značajnijom inaktivacijom, pri čemu se tretman u trajanju od 30 min ističe kao najbolji. Tijekom skladištenja uočeno je obnavljanje rasta populacije kvasca B. bruxellensis prisutne u crnom vinu odnosno smanjenje inaktivacijskog učinka tretmana hladnom plazmom

    Advanced oxidation treatments of olive mill wastewater

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    New and innovative advanced oxidative processes for wastewater treatments are currently in the focus of scientific research and development for possible industrial implantation. The main aim of this study was to investigate the effect of cold plasma treatment, high intensity ultrasound and UV radiation with the addition of additives: H2O2, TiO2, FeCl3 x 6H2O on degradation and removal of complex organic compounds from olive mill wastewater (OMWW). Olive mill wastewater represents a potential ecological problem when it is raw disposed into the environment, because of its high organic load. OMWW samples (with and without additives) were treated by high-voltage plasma discharge at frequencies 60 Hz and 120 Hz in combination with pumped gases (nitrogen, air and oxygen) for 30 minutes, by UV radiation for 30 minutes and 10 minutes by high intensity ultrasound. Physico-chemical parameters of quality, chemical oxygen demand (COD), and total dissolved carbon (TOC) were determined. The results have shown the efficacy of plasma treatment in degradation of organic compounds as well as degradation and reduction of polyphenolic compounds. Reduction of colour and total dissolved carbon occurred in all treated samples, mostly with the addition of FeCl3 x 6H2O. Treatment with UV radiation and ultrasound proved to be the most efficient resulting in the 50% reduction of organic compounds after a 10-minute treatment

    Analysis of the effect of the observed variables on heart disease

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    U ovome završnom radu su objašnjeni osnovni pojmovi kao što je umjetna inteligencija i strojno učenje. Sadrži i opis klasifikacije i logističke regresije, jezika Python, virtualnog okruženja te Streamlit okvira koji se koriste za izradu aplikacije. Nakon teorijskog dijela, opisan je postupak izrade aplikacije koja čini praktični dio završnog rada. Može se vidjeti način pripremanja podataka, proces modeliranja, evaluacija modela te na kraju i sama izrada aplikacije u Streamlit okviru.In this thesis, terms such as artificial intelligence and machine learning are explained. It also contains a description of classification and logistic regression, the Python language, the virtual environment and the Streamlit framework which are used to create application. After the theoretical part, the process of creating application, which forms the practical part of this thesis is described. You can see the method of data preparation, modeling process, model evaluation and finally the creation of the application in the Streamlit framework

    Analysis of the effect of the observed variables on heart disease

    No full text
    U ovome završnom radu su objašnjeni osnovni pojmovi kao što je umjetna inteligencija i strojno učenje. Sadrži i opis klasifikacije i logističke regresije, jezika Python, virtualnog okruženja te Streamlit okvira koji se koriste za izradu aplikacije. Nakon teorijskog dijela, opisan je postupak izrade aplikacije koja čini praktični dio završnog rada. Može se vidjeti način pripremanja podataka, proces modeliranja, evaluacija modela te na kraju i sama izrada aplikacije u Streamlit okviru.In this thesis, terms such as artificial intelligence and machine learning are explained. It also contains a description of classification and logistic regression, the Python language, the virtual environment and the Streamlit framework which are used to create application. After the theoretical part, the process of creating application, which forms the practical part of this thesis is described. You can see the method of data preparation, modeling process, model evaluation and finally the creation of the application in the Streamlit framework

    Analysis of the effect of the observed variables on heart disease

    No full text
    U ovome završnom radu su objašnjeni osnovni pojmovi kao što je umjetna inteligencija i strojno učenje. Sadrži i opis klasifikacije i logističke regresije, jezika Python, virtualnog okruženja te Streamlit okvira koji se koriste za izradu aplikacije. Nakon teorijskog dijela, opisan je postupak izrade aplikacije koja čini praktični dio završnog rada. Može se vidjeti način pripremanja podataka, proces modeliranja, evaluacija modela te na kraju i sama izrada aplikacije u Streamlit okviru.In this thesis, terms such as artificial intelligence and machine learning are explained. It also contains a description of classification and logistic regression, the Python language, the virtual environment and the Streamlit framework which are used to create application. After the theoretical part, the process of creating application, which forms the practical part of this thesis is described. You can see the method of data preparation, modeling process, model evaluation and finally the creation of the application in the Streamlit framework

    Production of Acid and Rennet-Coagulated Cheese Enriched by Olive (<i>Olea europaea</i> L.) Leaf Extract—Determining the Optimal Point of Supplementation and Its Effects on Curd Characteristics

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    This study investigated the potential of olive leaf extract (OLE), as a functional ingredient, to improve cheese properties, because it is rich in phenols. Milk and dairy products are poor in phenolic compounds. The main objective was to determine the most effective coagulation method and timing of OLE supplementation to maximize retention in the cheese matrix. Experimental cheeses were produced using the rennet and acid coagulation methods, with OLE added either directly to the cheese milk or to the curd phase. Three OLE effective concentrations corresponding to 25%, 50%, and 75% inhibition of DPPH reagent (EFC25, EFC50, and EFC75, respectively) were added, i.e., 11.5 mg GAE L−1, 16.6 mg GAE L−1, and 26.3 mg GAE L−1, respectively. The results showed that OLE significantly increased the concentration of total phenols, total flavonoids, and antioxidant activity in all cheese samples and in the residual whey, especially at higher effective concentrations (EFC 50 and EFC 75). Rennet-coagulated cheese to which OLE was added prior to coagulation (EM 25, EM 50, EM 75) exhibited higher hardness, gumminess, and chewiness but lower elasticity, suggesting alterations in the paracasein matrix. OLE did not adversely affect acidity, water activity, or cheese yield. However, higher EFC resulted in significant colour changes (∆E* > 3.0). In conclusion, the enrichment of cheesemaking milk with OLE and the application of the rennet coagulation method are the most suitable to optimise the production of OLE-enriched cheese. This research shows the potential to improve the nutritional value of cheese while maintaining its desired characteristics
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