Η διατήρηση της μικροβιολογικής ποιότητας του υδάτινου περιβάλλοντος είναι υψίστης σημασίας δεδομένων των κινδύνων που ενέχονται για τη δημόσια υγεία. Η αξιολόγηση της μικροβιολογικής ποιότητας των υδάτων πραγματοποιείται με την ανίχνευση της κοπρανώδους μόλυνσης και με τον έλεγχο της παρουσίας και συγκέντρωσης συγκεκριμένων μικροοργανισμών – δεικτών, όπως είναι η Escherichia coli. Ωστόσο, η απλή ανίχνευση κοπρανώδους μόλυνσης δεν επαρκεί για την υπόδειξη τρόπων εξυγίανσης και αντιμετώπισης του εκάστοτε προβλήματος. Οι δύο κύριες ομάδες στις οποίες διακρίνεται η κοπρανώδης μόλυνση είναι η ανθρώπινη και η ζωική, οι οποίες υποδηλώνουν πιθανή παρουσία διαφορετικών κάθε φορά παθογόνων μικροοργανισμών για τον άνθρωπο. Έτσι, προκειμένου να οριοθετηθεί ο κίνδυνος για τη δημόσια υγεία και να καθοριστούν μέτρα αντιμετώπισης της μόλυνσης ενδείκνυται ο προσδιορισμός της ανθρώπινης ή ζωικής προέλευσης της κοπρανώδους μόλυνσης. Στην παρούσα μελέτη αναπτύχθηκαν, εφαρμόστηκαν και αξιολογήθηκαν οι μέθοδοι: α)Έλεγχος πολλαπλής ανθεκτικότητας σε αντιβιοτικά (Multiple Antibiotic Resistance – MAR – φαινοτυπική μέθοδος) και β) PCR με τυχαία ενισχυμένα τμήματα πολυμορφικού DNA - Random Amplified Polymorphic DNA-PCR (RAPD-PCR – γονοτυπική μέθοδος), ως τεχνικές προσδιορισμού και διάκρισης προέλευσης μικροοργανισμών. Κατά το πρώτο στάδιο καθορίστηκαν οι παράμετροι των μεθόδων για το διαχωρισμό στελεχών E. coli γνωστής προέλευσης (60 στελέχη απομονωμένα από ζωικά κόπρανα και 68 στελέχη από ανθρώπινα). Για το διαχωρισμό και κατηγοριοποίηση των στελεχών εφαρμόστηκαν η Ιεραρχική Ανάλυση Κατά Συστάδες και η Διαχωριστική Ανάλυση. Με τη MAR ανάλυση τα στελέχη E. coli εμφάνισαν διαφορετικούς συνδυασμούς ανθεκτικότητας και διαχωρίστηκαν βάσει της προέλευσής τους με μέσο ποσοστό σωστής ταξινόμησης (ARCC) 99,2%. Με την RAPD-PCR χρησιμοποιήθηκαν δύο εκκινητές ξεχωριστά (1254 & 1290) και τα 128 στελέχη E. coli γνωστής προέλευσης διαχωρίστηκαν σε ανθρώπινης και ζωικής πηγής με ARCC 98,4% και με τους δύο εκκινητές. Η διακριτική ικανότητα της RAPD-PCR με τους δύο εκκινητές ήταν D1254=0,97 & D1290=0,90. Επιπλέον, η αξιολόγηση της επαναληψιμότητας της RAPD-PCR και με τους δύο εκκινητές έδωσε ικανοποιητικά αποτελέσματα με την εμφάνιση ίδιων ηλεκτροφορητικών εικόνων για τα ίδια βακτηριακά στελέχη. Στη συνέχεια οι επιλεγμένες τεχνικές εφαρμόστηκαν για την ταξινόμηση και κατηγοριοποίηση στελεχών E. coli άγνωστης προέλευσης εκτιμώντας την ανθρώπινη ή ζωική πηγή τους βάσει του μοντέλου διαχωρισμού των E. coli γνωστής προέλευσης. Οι E. coli άγνωστης προέλευσης (234 στελέχη) απομονώθηκαν από δείγματα πόσιμου νερού δικτύου από 11 περιοχές και δείγματα μη επεξεργασμένων λυμάτων από τις εισόδους τεσσάρων σταθμών βιολογικού καθαρισμού (ΚΕΡΕΦΥΤ – Νομός Αττικής, ΨΥΤΤΑΛΕΙΑ – Νομός Αττικής, ΡΙΟ – Νομός Αχαΐας και ΠΑΤΡΑ - Νομός Αχαΐας). Τα 234 στελέχη με τη MAR ανάλυση ταξινομήθηκαν ως ανθρώπινα και ζωικά σε ποσοστά 46,6% και 53,4% αντίστοιχα. Τα αποτελέσματα ταξινόμησης ήταν διαφορετικά με τη μέθοδο RAPD-PCR. Με τον εκκινητή 1254 τα άγνωστα στελέχη προσδιορίστηκαν ως ανθρώπινα κατά το 64,9% και ως ζωικά κατά το 35,1%. Αντίστοιχα, με τον εκκινητή 1290 τα ποσοστά ήταν 60,3% ανθρώπινα και 39,7% ζωικά. Τα στελέχη του πόσιμου νερού που προέρχονταν από τους σταθμούς δειγματοληψίας που ήταν αστικά κέντρα χαρακτηρίστηκαν εξ ολοκλήρου ως ανθρώπινης προέλευσης. Αντίθετα, στις περιοχές δειγματοληψίας με ανεπτυγμένη κτηνοτροφία βρέθηκαν και στελέχη ζωικής προέλευσης, γεγονός που υποδηλώνει την είσοδο στο δίκτυο κοπρανώδους υλικού προερχόμενου από ζώα των συγκεκριμένων περιοχών, τα οποία ενδεχομένως να έχουν άμεση πρόσβαση στις πηγές και γεωτρήσεις. Όσον αφορά στο χαρακτηρισμό των E. coli που καταλήγουν στους αναφερόμενους βιολογικούς καθαρισμούς, η πλειοψηφία ανίχνευσης ανθρωπίνων στελεχών δηλώνει την πιθανή παρουσία στα ακατέργαστα λύματα πολλών ανθρωπίνων εντερικών παθογόνων σημαντικών για τη δημόσια υγεία. Δεδομένου ότι τα τελευταία χρόνια οι ερευνητές έχουν αποδυθεί σε μια προσπάθεια επαναχρησιμοποίησης επεξεργασμένων λυμάτων επισημαίνεται η ανάγκη επεξεργασίας τους σε διάφορα στάδια για τη διασφάλιση της δημόσιας υγείας. Παρατηρήθηκε συμφωνία αποτελεσμάτων με τη χρήση των δύο εκκινητών καθώς η διαφορά στα ποσοστά δεν ήταν στατιστικά σημαντική (P>0,05). Συγκρίνοντας τα αποτελέσματα που ελήφθησαν με τις δύο μεθόδους, τη φαινοτυπική (MAR ανάλυση) και τη γονοτυπική (RAPD-PCR), υπήρξε στατιστικά σημαντική διαφορά (P<0,05), με συνέπεια να τίθεται θέμα επιλογής της πιο ενδεδειγμένης μεθόδου τυποποίησης και διάκρισης περιβαλλοντικών μικροοργανισμών. H παρούσα μελέτη αναδεικνύει την RAPD-PCR ως μια γονοτυπική μέθοδο με ικανοποιητική διακριτική ικανότητα, ευαισθησία, επαναληψιμότητα υπό αυστηρά καθορισμένες συνθήκες και χαμηλού κόστους. Η ευκολία εφαρμογής για την τυποποίηση μεγάλου αριθμού βακτηριακών στελεχών, χωρίς την απαίτηση γνώσης της νουκλεοτιδικής αλληλουχίας του γενετικού υλικού την καθιστούν ιδιαίτερα προσιτή σε εργαστήρια μοριακής μικροβιολογίας, ως τεχνική διάκρισης προέλευσης της κοπρανώδους μόλυνσης στο υδάτινο περιβάλλον. / Maintenance of the microbiological quality and safety of water systems is imperative, as their faecal contamination may exact high risks to human health as well as result in significant economic losses. The microbiological quality of water systems is evaluated by detecting their faecal pollution and especially specific faecal indicators such as Escherichia coli. Simple detection of faecal pollution is not sufficient in order to apply appropriate management plans to remedy the problem and to prevent any further contamination. Human faecal material is generally perceived as constituting a grater human health risk than animal faecal material, considering that it is more likely to contain human-specific enteric pathogens. Thus, it would be desirable to determine the source of the faecal material, especially for the assessment of risk for public health and for the development of monitoring plans. In the present study the development and assessment of Multiple Antibiotic Resistance Analysis (MAR – phenotypic method) and Randomly Amplified Polymorphic DNA-PCR Analysis (RAPD-PCR – genotypic method) were established as microbial source tracking methods. Firstly, parameters of the two selected methods were determined for the discrimination of E. coli isolates of known source (60 isolates from animal faecal material & 68 isolates from human faecal material). Hierarchical Cluster Analysis and Discriminant Analysis were applied for the classification of the isolates. With MAR analysis E. coli isolates developed different resistance profiles and were discriminated according to their source with an average rate of correct classification (ARCC) of 85.2%. With RAPD-PCR analysis two different 10-nt primers of arbitrary sequence were used (1254 & 1290) and the 128 E. coli isolates of known origin were classified as human and animal with the following ARCC: ARCC1254= 87.5% & ARCC1290= 81.3%. The discriminatory power of RAPD-PCR with the two selected primers was D1254=0.97 & D1290=0.90. Furthermore, the assessment of reproducibility of RAPD-PCR analysis provided satisfactory results with both primers, as RAPD profiles were identical for the same bacterial isolates. The assessment of specificity of the method resulted in the discrimination among RAPD profiles of E. coli isolates and other reference bacteria. The selected methods were applied for the classification and the source tracking of E. coli isolates, derived from tap water and raw sewage samples. In total 234 E. coli strains were isolated from tap water from 11 areas and raw sewage samples from four treatment plants (KEREFYT – prefecture of Attiki, PSITALIA - prefecture of Attiki, RIO - prefecture of Achaia and PATRA - prefecture of Achaia). With MAR analysis the 234 isolates were classified as human and animal in percentages of 46.6% & 53.4%, respectively. Classification results were different with RAPD-PCR analysis. With primer 1254 the classification was: 64.9% of human origin and 35.1% of animal origin and with primer 1290 the classification was: 60.3% of human origin and 39.7% of animal origin. Isolates derived from tap water of urban areas were classified in total as of human origin. On the contrary, in areas with many farm breeders many isolates were classified as of animal origin, indicating presence of faecal material in the water systems derived animal activities. As far as E. coli isolates from raw sewage samples are concerned, the majority of them were classified as of human source, indicating the possible presence of other human enteric pathogens as well. Taking into account the fact that there has been an effort in order to reuse treated sewage, it seems necessary a multi-stage process to renovate wastewater before it re-enters a body of water. There was an agreement of results of classification obtained form the use of the two different primers as the percentages did vary statistically (P>0.05). Comparing results obtained from the two selected methods, the difference was statistically significant (P<0.05), raising a question of the appropriate method for the typing and discrimination of environmental microorganisms. The present study demonstrates RAPD analysis as a simple, cost effective genotypic method with satisfactory discriminatory power, sensitivity and reproducibility. It can be applied for the analysis of a large number of bacterial isolates without the prior knowledge of nucleotide sequence of DNA to be necessary. Finally, it may fulfil environmental for the determination of origin of faecal pollution protecting water resources and public health.

The main purpose of the present studies has been to develop the Defense Mechanism Test (DM1) for clinical assessment of severe psychopathology with the focus on the concept of Borderline Personality Organization (BPO) according to Kemberg. By relating the DMT and the Structural Interview to each other, the concurrent validity of the concept of Personality Organization (PO) for psychiatric inpatients has been investigated. Two different assessment approaches have been used for this purpose. One has been to take a theoretical perspective as the starting-point for the classification of PO by means of the DMT. The other has been a purely empirical approach designed to discern natural and discriminating patterns of DMT distortions for different diagnostic groups. A dialogue is also in progress between DMT and current research on the Rorschach test in order to increase understanding of borderline phenomena and pathology. The overall results support Kemberg's idea that borderline patients are characterized by specific intrapsychic constellations different from those of both psychotic and neurotic patients. Both the DMT and the Structural Interview provide reliable and consistent judgements of PO. Patients with the syndrome diagnosis Borderline Personality Disorder exhibit different perceptual distortions from patients suffering from other personality disorders. The classic borderline theory is a one-dimensional developmental model, where BPO constitutes a stable intermediate form between neurosis and psychosis. The present results suggest that a two-dimensional model might be more powerful. Hence, the level of self- and object representations and reality orientation might be considered both from a developmental gad an affective perspective across varying forms of pathology. Kemberg suggests that borderline and psychotic patients share a common defensive constellation, centered around splitting, organizing self- and object representations. This view did not find support. The defensive pattem of the BPO patients is significantly different from the PPO defensive pattern. The BPO patients form their self- and object images affectively and thus the self- and object representations would seem to influence the defensive organization and not the other way around. The results have implications for the procedure and the interpretation of the DMT e.g. one and the same DMT picture can discern different kinds of personality; reactions other than the operationalized defense categories in the DMT manual can be valid predictors of PO; some of the DMT defenses described in the manual have to be reconceptualized such as isolation, repression and to some degree denial. Multivariate models are powerful tools for the integration of reactions to DMT into diagnostic patterns. / <p>Diss. (sammanfattning) Umeå : Umeå universitet, 1992, härtill 4 uppsatser.</p> / digitalisering@umu

<p><font face="TimesNewRomanPSMT"> <p align="left">Groundwater in arid and semi-arid areas like the Karoo region of South Africa is an important source of domestic, agricultural and industrial source of fresh water. As a scarce resource, it requires extensive quality control and protection through innovative methods and efficient strategies. The town of Beaufort West and its vicinity use groundwater as a major source of municipal and private water supply. Forty nine groundwater samples were collected from spatially referenced boreholes located in and around the town of Beaufort West and were analyzed for <font face="TimesNewRomanPSMT">EC, pH, <font face="TimesNewRomanPSMT">TDS,<font face="TimesNewRomanPSMT">TH, SAR, TA, Ca</font><font size="1" face="TimesNewRomanPSMT"><font size="1" face="TimesNewRomanPSMT">2+</font></font><font face="TimesNewRomanPSMT">, Mg</font><font size="1" face="TimesNewRomanPSMT"><font size="1" face="TimesNewRomanPSMT">2+</font></font><font face="TimesNewRomanPSMT">, Na</font><font size="1" face="TimesNewRomanPSMT"><font size="1" face="TimesNewRomanPSMT">+</font></font><font face="TimesNewRomanPSMT">, K</font><font size="1" face="TimesNewRomanPSMT"><font size="1" face="TimesNewRomanPSMT">+</font></font><font face="TimesNewRomanPSMT">, HCO</font><font size="1" face="TimesNewRomanPSMT"><font size="1" face="TimesNewRomanPSMT">3-</font></font><font size="3" face="TimesNewRomanPSMT">, Cl</font><font size="1" face="TimesNewRomanPSMT"><font size="1" face="TimesNewRomanPSMT">-</font></font><font size="3" face="TimesNewRomanPSMT">, NO</font><font size="1" face="TimesNewRomanPSMT"><font size="1" face="TimesNewRomanPSMT">3- </font></font><font size="3" face="TimesNewRomanPSMT">and SO</font><font size="1" face="TimesNewRomanPSMT"><font size="1" face="TimesNewRomanPSMT">42- </font></font><font face="TimesNewRomanPSMT"><font size="3">according to&nbsp / <font face="TimesNewRomanPSMT">SANS 241 standards and tested for ionic balance. The groundwater of the study area was characterized using WHO and South African drinking water quality standards as well as TDS and Salinity hazard classifications. These comparisons and classifications characterized the groundwater of the study area as hard to very hard, with low to medium salinity hazard. These results are in accordance with the dominance of the ions Ca</font><font size="1" face="TimesNewRomanPSMT"><font size="1" face="TimesNewRomanPSMT">2+</font></font><font face="TimesNewRomanPSMT">, Na</font><font size="1" face="TimesNewRomanPSMT"><font size="1" face="TimesNewRomanPSMT">+</font></font><font face="TimesNewRomanPSMT">, HCO</font><font size="1" face="TimesNewRomanPSMT"><font size="1" face="TimesNewRomanPSMT">3 - </font></font><font face="TimesNewRomanPSMT">and Cl</font><font size="1" face="TimesNewRomanPSMT"><font size="1" face="TimesNewRomanPSMT">- </font></font><font face="TimesNewRomanPSMT">in the groundwater samples. Linear relationships between the hydrochemical variables were analysed through correlation and multiple regression analysis to relate the groundwater quality to the underlying hydrogeochemical processes. These linear relationships explained the contribution of the measured variables towards the salinity, hardness and anthropogenic contamination of the groundwater. The groundwater of the study area was also assessed using conventional trilinear diagrams and scatter plots to interpret the water quality and determine the major ion chemistry. The conventional methods highlighted the sources of the hydrochemical variables through analysis and interpretation of rock-water interaction and evaporations processes. To supplement <font face="TimesNewRomanPSMT">these conventional methods and reveal hidden hydrogeochemical phenomenon, multivariate statistical analyses were employed. Factor analysis reduced the hydrochemical variables into three factors (Hardness, Alkalinity and Landuse) that characterize the groundwater quality in relation to the source of its hydrochemistry. Furthermore, combination of Cluster (CA) and Discriminant analyses (DA) were used to classify the groundwater in to different hydrochemical facies and determine the dominant hydrochemical variables that characterize these facies. The classification results were also compared with the trilinear diagrammatic interpretations to highlight the advantages of these multivariate statistical methods. The CA and DA classifications resulted in to six different hydrochemical facies that are characterized by NO</font><font size="1" face="TimesNewRomanPSMT"><font size="1" face="TimesNewRomanPSMT">3 -</font></font><font face="TimesNewRomanPSMT">, Na</font><font size="1" face="TimesNewRomanPSMT"><font size="1" face="TimesNewRomanPSMT">+ </font></font><font face="TimesNewRomanPSMT">and pH. These three hydrochemical variables explain 93.9% of the differences between the water types and highlight the influence of natural hydrogeochemical and anthropogenic processes on the groundwater quality. All the univariate, bivariate, multivariate statistical and conventional hydrogeochemical analyses results were analyzed spatially using ArcGIS 10.0. The spatial analysis employed the Inverse Distance Weighted (IDW) interpolation method to predict spatial distribution of unmeasured areas and reclassification of the interpolation results for classification purposes. The results of the different analyses methods employed in the thesis illustrate that the groundwater in the study area is generally hard but permissible in the absence of better alternative water source and useful for irrigation.</font></font></font></font></font></font></p> </font></p>

<p><font face="TimesNewRomanPSMT"> <p align="left">Groundwater in arid and semi-arid areas like the Karoo region of South Africa is an important source of domestic, agricultural and industrial source of fresh water. As a scarce resource, it requires extensive quality control and protection through innovative methods and efficient strategies. The town of Beaufort West and its vicinity use groundwater as a major source of municipal and private water supply. Forty nine groundwater samples were collected from spatially referenced boreholes located in and around the town of Beaufort West and were analyzed for <font face="TimesNewRomanPSMT">EC, pH, <font face="TimesNewRomanPSMT">TDS,<font face="TimesNewRomanPSMT">TH, SAR, TA, Ca</font><font size="1" face="TimesNewRomanPSMT"><font size="1" face="TimesNewRomanPSMT">2+</font></font><font face="TimesNewRomanPSMT">, Mg</font><font size="1" face="TimesNewRomanPSMT"><font size="1" face="TimesNewRomanPSMT">2+</font></font><font face="TimesNewRomanPSMT">, Na</font><font size="1" face="TimesNewRomanPSMT"><font size="1" face="TimesNewRomanPSMT">+</font></font><font face="TimesNewRomanPSMT">, K</font><font size="1" face="TimesNewRomanPSMT"><font size="1" face="TimesNewRomanPSMT">+</font></font><font face="TimesNewRomanPSMT">, HCO</font><font size="1" face="TimesNewRomanPSMT"><font size="1" face="TimesNewRomanPSMT">3-</font></font><font size="3" face="TimesNewRomanPSMT">, Cl</font><font size="1" face="TimesNewRomanPSMT"><font size="1" face="TimesNewRomanPSMT">-</font></font><font size="3" face="TimesNewRomanPSMT">, NO</font><font size="1" face="TimesNewRomanPSMT"><font size="1" face="TimesNewRomanPSMT">3- </font></font><font size="3" face="TimesNewRomanPSMT">and SO</font><font size="1" face="TimesNewRomanPSMT"><font size="1" face="TimesNewRomanPSMT">42- </font></font><font face="TimesNewRomanPSMT"><font size="3">according to&nbsp / <font face="TimesNewRomanPSMT">SANS 241 standards and tested for ionic balance. The groundwater of the study area was characterized using WHO and South African drinking water quality standards as well as TDS and Salinity hazard classifications. These comparisons and classifications characterized the groundwater of the study area as hard to very hard, with low to medium salinity hazard. These results are in accordance with the dominance of the ions Ca</font><font size="1" face="TimesNewRomanPSMT"><font size="1" face="TimesNewRomanPSMT">2+</font></font><font face="TimesNewRomanPSMT">, Na</font><font size="1" face="TimesNewRomanPSMT"><font size="1" face="TimesNewRomanPSMT">+</font></font><font face="TimesNewRomanPSMT">, HCO</font><font size="1" face="TimesNewRomanPSMT"><font size="1" face="TimesNewRomanPSMT">3 - </font></font><font face="TimesNewRomanPSMT">and Cl</font><font size="1" face="TimesNewRomanPSMT"><font size="1" face="TimesNewRomanPSMT">- </font></font><font face="TimesNewRomanPSMT">in the groundwater samples. Linear relationships between the hydrochemical variables were analysed through correlation and multiple regression analysis to relate the groundwater quality to the underlying hydrogeochemical processes. These linear relationships explained the contribution of the measured variables towards the salinity, hardness and anthropogenic contamination of the groundwater. The groundwater of the study area was also assessed using conventional trilinear diagrams and scatter plots to interpret the water quality and determine the major ion chemistry. The conventional methods highlighted the sources of the hydrochemical variables through analysis and interpretation of rock-water interaction and evaporations processes. To supplement <font face="TimesNewRomanPSMT">these conventional methods and reveal hidden hydrogeochemical phenomenon, multivariate statistical analyses were employed. Factor analysis reduced the hydrochemical variables into three factors (Hardness, Alkalinity and Landuse) that characterize the groundwater quality in relation to the source of its hydrochemistry. Furthermore, combination of Cluster (CA) and Discriminant analyses (DA) were used to classify the groundwater in to different hydrochemical facies and determine the dominant hydrochemical variables that characterize these facies. The classification results were also compared with the trilinear diagrammatic interpretations to highlight the advantages of these multivariate statistical methods. The CA and DA classifications resulted in to six different hydrochemical facies that are characterized by NO</font><font size="1" face="TimesNewRomanPSMT"><font size="1" face="TimesNewRomanPSMT">3 -</font></font><font face="TimesNewRomanPSMT">, Na</font><font size="1" face="TimesNewRomanPSMT"><font size="1" face="TimesNewRomanPSMT">+ </font></font><font face="TimesNewRomanPSMT">and pH. These three hydrochemical variables explain 93.9% of the differences between the water types and highlight the influence of natural hydrogeochemical and anthropogenic processes on the groundwater quality. All the univariate, bivariate, multivariate statistical and conventional hydrogeochemical analyses results were analyzed spatially using ArcGIS 10.0. The spatial analysis employed the Inverse Distance Weighted (IDW) interpolation method to predict spatial distribution of unmeasured areas and reclassification of the interpolation results for classification purposes. The results of the different analyses methods employed in the thesis illustrate that the groundwater in the study area is generally hard but permissible in the absence of better alternative water source and useful for irrigation.</font></font></font></font></font></font></p> </font></p>

This study is concerned with developing a model to identify small-medium U.K. companies at risk of financial failure up to five years in advance. The importance of small companies in an economy, the impact of their failures, and the lack of failure research with respect to . this population, provided justification for this study. The research was undertaken in two stages. The first stage included a detailed description and discussion of the nature and role of small business in the UK economy, heir relevance, problems and Government involvement in this sector, together with literature review and assessment of past research relevant to this study. The second stage was involved with construction of the models using multiple discriminant analysis, applied to published accountancy data for two groups of failed and nonfailed companies. The later stage was performed in three parts : (1) evaluating five discriminant models for each of five years prior to failure; (2) testing the performance of each of the .five models over time on data not used . in their construction; (3) testing the discriminant models on a validation sample. The purpose was to establish the "best" discriminant model. "Best" was determined according to classification ability of the model and interpretation of variables. Finally a model comprising seven financial ratios measuring four aspects of a company's financial profile, such as profitability, gearing, capital turnover and liquidity was chosen. The model has shown to be a valid tool for predicting companies' health up to five years in advance.

Linear digital signal processing based around linear, time-invariant systems theory finds substantial application in speech processing. The linear acoustic source-filter theory of speech production provides ready biomechanical justification for using linear techniques. Nonetheless, biomechanical studies surveyed in this thesis display significant nonlinearity and non-Gaussinity, casting doubt on the linear model of speech production. In order therefore to test the appropriateness of linear systems assumptions for speech production, surrogate data techniques can be used. This study uncovers systematic flaws in the design and use of exiting surrogate data techniques, and, by making novel improvements, develops a more reliable technique. Collating the largest set of speech signals to-date compatible with this new technique, this study next demonstrates that the linear assumptions are not appropriate for all speech signals. Detailed analysis shows that while vowel production from healthy subjects cannot be explained within the linear assumptions, consonants can. Linear assumptions also fail for most vowel production by pathological subjects with voice disorders. Combining this new empirical evidence with information from biomechanical studies concludes that the most parsimonious model for speech production, explaining all these findings in one unified set of mathematical assumptions, is a stochastic nonlinear, non-Gaussian model, which subsumes both Gaussian linear and deterministic nonlinear models. As a case study, to demonstrate the engineering value of nonlinear signal processing techniques based upon the proposed biomechanically-informed, unified model, the study investigates the biomedical engineering application of disordered voice measurement. A new state space recurrence measure is devised and combined with an existing measure of the fractal scaling properties of stochastic signals. Using a simple pattern classifier these two measures outperform all combinations of linear methods for the detection of voice disorders on a large database of pathological and healthy vowels, making explicit the effectiveness of such biomechanically-informed, nonlinear signal processing techniques.

The task of automatically recognizing targets in IR imagery has a history of approximately 25 years of research and development. ATR is an application of pattern recognition and scene analysis in the field of defense industry and it is still one of the challenging problems. This thesis may be viewed as an exploratory study of ATR problem with encouraging recognition algorithms implemented in the area. The examined algorithms are among the solutions to the ATR problem, which are reported to have good performance in the literature. Throughout the study, PCA, subspace LDA, ICA, nearest mean classifier, K nearest neighbors classifier, nearest neighbor classifier, LVQ classifier are implemented and their performances are compared in the aspect of recognition rate. According to the simulation results, the system, which uses the ICA as the feature extractor and LVQ as the classifier, has the best performing results. The good performance of this system is due to the higher order statistics of the data and the success of LVQ in modifying the decision boundaries.

The credit scoring with the help of classification techniques provides to take easy and quick decisions in lending. However, no definite consensus has been reached with regard to the best method for credit scoring and in what conditions the methods performs best. Although a huge range of classification techniques has been used in this area, the logistic regression has been seen an important tool and used very widely in studies. This study aims to examine accuracy and bias properties in parameter estimation of the logistic regression by using Monte Carlo simulations in four aspect which are dimension of the sets, length, the included percentage defaults in data and effect of variables on estimation. Moreover, application of some important statistical and non-statistical methods on Turkish credit default data is provided and the method accuracies are compared for Turkish market. Finally, ratings on the results of best method is done by using receiver operating characteristic curve.

Thesis deals with complex process of creation of new bankruptcy model for predicting business failure, while this process involves selection of quality sample, verification of classification accuracy of already existing bankruptcy models, profile analysis and finally the derivation of specific equation of bankruptcy model. The derivation is performed by using two selected statistical methods, discriminant analysis and logistic regression. Two bankruptcy models Bürger's index DA12 and Bürger's index LR12 were derived by using the mentioned statistical methods. The new models distinct advantage is, unlike already existing and renowned bankruptcy models, that they are focused on classification of micro and small enterprises in terms of Czech Republic, while classification accuracy one year before failure is by individual models 74.8 % and 81.87 %. Derived models have clear interpretation (no grey zone) and easy calculation, which brings a possibility for micro and small entrepreneurs to check their business partners in terms of failure prediction.

Magister Scientiae - MSc (Earth Science) / This study area is situated within the Eastern Bushveld complex at Dwarsrivier chrome mine, which is approximately 30 km from Steelpoort and 60km from Lydenburg in the Mpumalanga province. The primary aim of the project is to identify the petrological and geochemical characteristics that can be used to distinguish the various rock types of feldspathic pyroxenites, chromitites, anorthosites and chromitite pyroxenites and determine whether the various rock types are from the MG2 package and MG3 package were formed from a single or multiple magma pulses. The geochemical and mineralogical variation studies were carried out using cores from borehole DWR74 and DWR172 located on the farm Dwarsrivier 372 KT. Using the combination of various multivariate statistical techniques (factor, cluster and discriminant analysis) multi element diagrams and trace element ratios, the outcome of the study demonstrated that each of the four rock types can be sub-divided into two groups.