This paper analyzes the current operating situation of financial holding companies in Taiwan. After referring to the operation of financial early warning systems of various countries, the study chooses appropriate financial ratios to establish a financial early warning model for quantitative analysis, evaluate the management efficiency of financial holding companies, discriminate the correct classification rate of prediction probability and rating system, and seek an optimal early warning model as the basis for supervision and governance of financial holding companies. In 2008, the financial tsunami that swept over the global economy resulted in a disastrous loss to the financial industry. To cope with the impact of financial crisis, most countries in the world have developed their early warning models. In Taiwan, the CAMELS framework was adopted for the establishment of Taiwan¡¦s financial early warning system and a risk-oriented auditing system. With the financial liberalization, the government of Taiwan lifted the ban on the business operation of financial holding companies step by step in order to enhance the operating efficiency of financial holding companies and activate the financial market. However, the competitive ability of Taiwan¡¦s financial industry was not significantly improved. Instead, a series of problems with the financial sector erupted one after another. The reasons for such a condition were due to more risks faced by the financial holding companies after financial deregulation. Therefore, this study used 14 financial holding companies in Taiwan as of 2006 as subjects, and constructed a financial early warning system for the original samples by using the following two kinds of models. After factor analysis¡Athe remaining financial variables ¡Alike capital adequary ratio(C2) ¡Atotal debt/equit capital (C3) ¡A total deposit/equit capital(C4), ratio of non-performing loans(A2) the operational expense ratio(M3), efficiency ratio (M4), earnings before taxes/sales(E1) and so on, have more influence on the performances of the financial holding companies in Taiwan. As to the whole efficiency of the self-examination, CAMELS still has good prediction ability and can enable predicting ability increases after joining the risk parameters¡D Predictive sample enters two models and obtains¡Gthe predictive efficiency, type error and type error of Model Two work better than Model One¡Aso in predicting samples, think CAMELS still has good predicition ability and can enable predicting ability increases after joining the risk parameters.

Title of the work: Phycical fitness of personal protectors of the Police of the Czech Republic. Objectives: The main aim of the work was to determine and evaluate the profile of physical fitness of the members of the Close Protection Division, Protective Services of the Police of the Czech Republic. Methods: The work has character of emprical research, its main method was observation. Research sample was composed of 21members (age range 28-55) of the Close Protection Division of Protection Service of the Police of Czech Republic. Within complex testing were used non-invasive methods (anthropomotoric testing, analysis of body composition, anaerobic and aerobic testing, tests for local power and tests of reactivity). An invasive method was also used to test a capillary blood sample to determine the cholesterol level and the postworkout lactate level in blood. Somatic factors were eveluated individualy (antropometry, somatotype, body composition). Conditioning claims were also evaluated (anaerobic, aerobic, lokal power). Within psychophysiological requirements as tested reactivity on acustic and optical signal and as a last there were found out information from health area, blood pressure was measured and compared to level of cholesterol of research sample. Results: The results of observation has...