21 resultados para Predicting treatment time
Resumo:
Acid mine drainage (AMD) presents a serious problem for the environment for the massive formation of acidic leachates containing heavy metals. The present work deals with the AMD treatment using neutralizing limestone side-products. The conventional methods for prevention, mitigating and control of AMD formation are described. The experimental testing of Nordkalk Oy calcite-containing side-stones for acid neutralizing and removal of nickel from solutions presents the research objective. The batch experiments in acid neutralizing with subsequent metal content analysis were carried out. The results showed the dependence of pH on the dose of neutralizing material and the exposure time. The nickel removal, unlike iron, within the pH range from 1.2 to 6.0 appeared to be inadequate. The further research on nickel co-precipitation with iron and aluminium may appear to be necessary together with testing of alkalinity strengthening materials.
Resumo:
Interest in water treatment by electrochemical methods has grown in recent years. Electrochemical oxidation has been applied particularly successfully to degrade different organic pollutants and disinfect drinking water. This study summarizes the effectiveness of the electrochemical oxidation technique in inactivating different primary biofilm forming paper mill bacteria as well as sulphide and organic material in pulp and paper mill wastewater in laboratory scale batch experiments. Three different electrodes, borondoped diamond (BDD), mixed metal oxide (MMO) and PbO2, were employed as anodes. The impact on inactivation efficiency of parameters such as current density and initial pH or chloride concentration of synthetic paper machine water was studied. The electrochemical behaviour of the electrodes was investigated by cyclic voltammetry with MMO, BDD and PbO2 electrodes in synthetic paper mill water as also with MMO and stainless steel electrodes with biocides. Some suggestions on the formation of different oxidants and oxidation mechanisms were also presented during the treatment. Aerobic paper mill bacteria species (Deinococcus geothermalis, Pseudoxanthomonas taiwanensis and Meiothermus silvanus) were inactivated effectively (>2 log) at MMO electrodes by current density of 50 mA/cm2 and the time taken three minutes. Increasing current density and initial chloride concentration of paper mill water increased the inactivation rate of Deinococcus geothermalis. The inactivation order of different bacteria species was Meiothermus silvanus > Pseudoxanthomonas taiwanensis > Deinococcus geothermalis. It was observed that inactivation was mainly due to the electrochemically generated chlorine/hypochlorite from chloride present in the water and also residual disinfection by chlorine/hypochlorite occurred. In real paper mill effluent treatment sulphide oxidation was effective with all the different initial concentrations (almost 100% reduction, current density 42.9 mA/cm2) and also anaerobic bacteria inactivation was observed (almost 90% reduction by chloride concentration of 164 mg/L and current density of 42.9 mA/cm2 in five minutes). Organic material removal was not as effective when comparing with other tested techniques, probably due to the relatively low treatment times. Cyclic voltammograms in synthetic paper mill water with stainless steel electrode showed that H2O2 could be degraded to radicals during the cathodic runs. This emphasises strong potential of combined electrochemical treatment with this biocide in bacteria inactivation in paper mill environments.
Resumo:
This master’s thesis studies the probability of bankruptcy of Finnish limited liability companies as a part of credit risk assessment. The main idea of this thesis is to build and test bankruptcy prediction models for Finnish limited liability companies that can be utilized in credit decision making. The data used in this thesis consists of historical financial statements from 2112 Finnish limited liability companies, half of which have filed for bankruptcy. A total of four models are developed, two with logistic regression and two with multivariate discriminant analysis (MDA). The time horizon of the models varies from 1 to 2 years prior to the bankruptcy, and 14 different financial variables are used in the model formation. The results show that the prediction accuracy of the models ranges between 81.7% and 88.9%, and the best prediction accuracy is achieved with the one year prior the bankruptcy logistic regression model. However the difference between the best logistic model and the best MDA model is minimal. Overall based on the results of this thesis it can be concluded that predicting bankruptcy is possible to some extent, but naturally the results are not perfect.
Resumo:
Deregulated proliferation has been recognized among the most important factors promoting breast cancer development and progression. The aim of the project is to gain understanding of the role of specific cell cycle regulators of metaphase-anaphase transition and evaluate their potential in breast cancer prognostication and treatment decisions. Metaphase-anaphase transition is triggered by activation of anaphase promoting complex (APC) which is activated by a cascade of regulatory proteins, among them securin, Cdc20 and Cdc27. These proteins promote the metaphase–anaphase transition and participate in the timely separation of the chromatids. This study is based on a patient material of approximately 600 breast cancer patients and up to 22 years of follow-up. As the main observation, based on DNA cytometric and immunohistochemical methods, securin, Cdc20 and Cdc27 protein expressions were associated with abnormal DNA content and outcome of breast cancer. In the studied patient material, high securin expression alone and in combination with Cdc20 and Cdc27 predicted up to 9.8-fold odds for aneuploid DNA content in human breast cancer. In Kaplan–Meier analyses, high expression of securin systematically indicated decrease in breast cancer survival as compared to low expression cases. The adverse effect of high securin expression was further strengthened by combining it with Cdc20 or Cdc27 expressions, resulting in up to 6.8-fold risk of breast cancer death. High securin and Cdc20 expression was also associated with triple-negative breast cancer type with high statistical significance. Securin, Cdc20 or Cdc27 have not previously been investigated in a clinically relevant large breast cancer patient material or in association with DNA ploidy. The present findings suggest that the studied proteins may serve as potential biomarkers for identification of aggressive course of disease and unfavourable outcome of human breast cancer, and that they may provide a future research aim for understanding abnormal proliferation in malignant disease.
Resumo:
The role of intangible assets and the amount of business combinations have increased significantly during the last decades which has caused the need to reform and harmonise the accounting treatment for acquired intangible assets. The aim of this study is to find out how the new accounting standard for business combinations, IFRS 3, has affected the accounting treatment for identifiable intangible assets and goodwill in the examined media companies between 2005 and 2014. The most significant reforms introduced by IFRS 3 have been goodwill impairment test and the fair value accounting for acquired intangibles. This study is conducted by using a descriptive analysis and the empirical data consists of financial statement information of listed Finnish and international media companies. The main objectives of IFRS 3 have been to reduce the amount of acquisition cost allocated to goodwill and allow companies to recognise new intangible assets separately from goodwill. The results of this study show that the amount of the acquisition cost allocated to goodwill has decreased during the examined period and due to the fair value accounting, business acquisitions have made new intangible assets visible that otherwise would have not met the recognition criteria under IAS 38. The application of IFRS has revealed a big amount of invisible assets in the balance sheets but at the same time this has reduced the comparability between companies.
Resumo:
This master thesis presents a study on the requisite cooling of an activated sludge process in paper and pulp industry. The energy consumption of paper and pulp industry and it’s wastewater treatment plant in particular is relatively high. It is therefore useful to understand the wastewater treatment process of such industries. The activated sludge process is a biological mechanism which degrades carbonaceous compounds that are present in waste. The modified activated sludge model constructed here aims to imitate the bio-kinetics of an activated sludge process. However, due to the complicated non-linear behavior of the biological process, modelling this system is laborious and intriguing. We attempt to find a system solution first using steady-state modelling of Activated Sludge Model number 1 (ASM1), approached by Euler’s method and an ordinary differential equation solver. Furthermore, an enthalpy study of paper and pulp industry’s vital pollutants was carried out and applied to revise the temperature shift over a period of time to formulate the operation of cooling water. This finding will lead to a forecast of the plant process execution in a cost-effective manner and management of effluent efficiency. The final stage of the thesis was achieved by optimizing the steady state of ASM1.