The present study was conducted with a view to evaluate the therapeutic\npotentials of six plants traditionally used in Egypt against multi-drug resistant oral\npathogens isolated from infected patients with different oral diseases. All ethanol\nextracts of tested plants were found to exhibit potential antimicrobial properties\nagainst multi-drug resistant isolates but maximum zone of inhibition was observed in\nethanol extracts of Allium sativum and Syzygium aromaticum which showed the\nminimum inhibitory concentration (MIC) against Streptococcus mutans and\nStaphylococcus aureus to be 0.39 mg/ml. The antibacterial activities observed could\nbe due to the presence of some of the secondary metabolites like, alkaloids,\nanthraquinones, sterols, glycosides, saponins, terpenes and flavonoids which detected\nin ethanol extracts. The bioautographic results revealed that the maximum zone of\ninhibition of Syzygium aromaticum and Allium sativum were observed at Rf 0.64 &\n0.82, respectively which indicates that the compound retained at these Rf values\nhaving potent antibacterial efficacy against the selected oral pathogens. The findings\nof present study lend support for the use of them in preparation of toothpastes and\nmouth rinses containing these antimicrobial agents for the prevention of oral\nmicrobial diseases.

In this paper I look into reviewing Matolino and Kwindingwi’s article, “the end of ubuntu”, published in the South African Journal of Philosophy, Volume 32, Number 2 of 2013, further to compare and comment on Thaddeus Metz’s reply to the authors of the article. In the main, I intend to uphold what I believe to be a more plausible argument where Metz contends as his title suggests “Just the beginning of ubuntu”, hence my title above. I argue that the fact that Matolino and Kwindingwi arrived at this conclusion, is influenced by their point of departure which I believe to be established on a doubtful a priori that ubuntu as a normative ethical theory is ‘a narrative of return’. I further question their assertion that the contemporary conditions in South Africa are the basis on which ubuntu moral theory should be dismantled – they argue for the demise of ubuntu without supporting their position with convincing philosophical reasons. Furthermore, I argue that ubuntu insofar as it is a moral theory is competitive and will ultimately prove to be as desirable ethic which would contribute positively towards developing moral character in contemporary socio-political condition in Southern Africa.

Aim: Preoperative diagnosis of adenomyosis, the contribution of adding TV-DUS results to TV-US on sensitivity, specificity, positive and negative predictive value and diagnostic efficiency were investigated.\nMethods: 90 patients planned hysterectomy due to various reasons were included in the study performed prospectively. To be able to make a preoperative diagnosis of adenomyosis in all of patients, results obtained after application of TV-US and TV-DUS were compared with the histopathological results obtained after hysterectomy.\nResults: Prevalence of adenomyosis was found to be 26.6% (24/90 patients) in the study. Sensitivity, specificity, PPV and NPV and LR+ and LR- of TV-US in diagnosis of adenomyosis were found to be 70.8%, 62.1%, 40.4%, 85.4%, 1.96 and 0,47, respectively.\nSensitivity, specificity, PPV, NPV, LR+ and LR- in the diagnosis of adenomyosis with addition of TV-DUS were found to be 90%, 94.2%, 81.8%, 97%, 15.5 and 0.10, respectively.\nOn TV-US, observation of hypoechoic cystic-lacunar areas with diameter greater than 4 mm and subendometrial linear striations in subendometrial myometrium were seen at higher ratios. In Doppler examination, proliferative and infiltrative vascularity pattern and mean PI value were found to be 1.69 ± 0.43; RI value 0.65 ± 0.04 and TAMXV value 5.8± 2.8 cm/second. Cut-off value calculated for PI value was > 1.21.\nConclusion: In preoperative diagnosis of adenomyosis, TV-DUS examination performed in addition to TV-US has high sensitivity and high NPV and it is a method for strengthening the diagnosis.

The energy is an important parameter for all countries and the usage of it needs to be planned carefully. In the world, energy consumption HVAC equipment in residential buildings ranges between 16% and 50% of total energy consumption, depending on the countries. This energy is mostly used by central heating systems (CHS) for heating. Design of CHS in buildings is very important in terms of rational energy usage. CHS’s are generally designed using energy analysis (First Law). However this analysis is not adequate itself, so second law analysis is also required for evaluation of system performance. In this study, energy and exergy analyses of a heating system are performed using the data and experiments of 3 years in a multipurpose building (a shopping center) which needs heating in an area of 80.000 m2 in Ankara, Turkey. As a result of the energy analysis, it is shown that the lowest efficiency is in the heating exchanger, and the highest efficiency is in the boiler. On the other hand, there is an opposite situation for exergy analysis. These results indicate that exergy analysis is more realistic than energy analysis, and system performance can be increased by improving the boiler.

The aim of the study was to determine the relationship between coping strategies with the mental health and quality of life in Caregivers of Chronically ill Patients. The two chronic illnesses selected for the present study were Liver Cirrhosis and Ischemic Heart Disease. The sample consisted of N=202 primary caregivers (Men =117; Women =85). Data for caregivers of Liver Cirrhosis patients was collected from Sheikh Zayed Hospital, Lahore and for Ischemic Heart Disease from The Punjab Institute of Cardiology, Lahore. Caregivers’ age range was from 15-60 years. Purposive sampling was used. Correlation research design was used. Three scales other than demographic sheet namely Urdu version by Akhtar (2005) of Brief Cope developed by Carver, (1989) and Urdu version by Khan, Akhtar, Ayub, Alam and Laghari (2003) of WHO-Quality of Life Questionnaire developed by Power, (2003) and Urdu version of General Health Questionnaire-28 by (Sanam,2001) developed by Goldenberg,(1978) were used. Pearson Product Moment Correlation and Cross tabulation were used. Alpha coefficient reliabilities of the three scales used were also calculated. Data was analyzed using SPSS 20.Results revealed that there is a relationship between mental health , quality of life and coping styles among caregivers of chronically ill patients .Results also indicated that quality of life had an association with demographic variables like marital status, gender, parent’s education and family.

The m The mThe main factor affecting the profitabilain factor affecting the ratio in sheep breeding is ity ratio in sheep breeding is ity ratio in sheep breeding is ity ratio in sheep breeding is ity ratio in sheep breeding is ity ratio in sheep breeding is ity ratio in sheep breeding is ity ratio in sheep breeding is ity ratio in sheep breeding is ity ratio in sheep breeding is ity ratio in sheep breeding is ity ratio in sheep breeding is ity ratio in sheep breeding is ity ratio in sheep breeding is the larger the larger the larger the larger number of lamb number of lamb number of lamb number of lamb number of lamb number of lamb number of lamb 7 births and high survival rate of these lambs. This births and high survival rate of these lambs. This births and high survival rate of these lambs. This births and high survival rate of these lambs. This births and high survival rate of these lambs. This births and high survival rate of these lambs. This births and high survival rate of these lambs. This births and high survival rate of these lambs. This births and high survival rate of these lambs. This births and high survival rate of these lambs. This births and high survival rate of these lambs. This births and high survival rate of these lambs. This births and high survival rate of these lambs. This births and high survival rate of these lambs. This births and high survival rate of these lambs. This births and high survival rate of these lambs. This study was tudy was tudy was tudy was tudy was tudy was conductedconducted conductedconducted to investigate some to investigate some to investigate some to investigate some to investigate some to investigate some to investigate some 8 environmental factors on environmental factors on environmental factors on environmental factors on environmental factors on environmental factors on environmental factors on environmental factors on the survival rate of Malya lambs born in of Malya lambs born in of Malya lambs born in of Malya lambs born in of Malya lambs born in of Malya lambs born in of Malya lambs born in of Malya lambs born in of Malya lambs born in of Malya lambs born in of Malya lambs born in of Malya lambs born in Malya state farm between Malya state farm between Malya state farm between Malya state farm between Malya state farm between Malya state farm between Malya state farm between Malya state farm between Malya state farm between Malya state farm between Malya state farm between Malya state farm between Malya state farm between 9 February February February February February February February 2012 and 2012 and2012 and2012 and August 2012 August 2012 August 2012 . The s The sThe survival rate of 302 lambs urvival rate of 302 lambs urvival rate of 302 lambs urvival rate of 302 lambs urvival rate of 302 lambs urvival rate of 302 lambs urvival rate of 302 lambs urvival rate of 302 lambs urvival rate of 302 lambs urvival rate of 302 lambs of different sex, weight, different sex, weight, different sex, weight, different sex, weight, different sex, weight, different sex, weight, different sex, weight, different sex, weight, different sex, weight, different sex, weight, different sex, weight, different sex, weight, 10 maternal maternal maternal age and birth type was age and birth type was age and birth type was age and birth type was age and birth type was age and birth type was age and birth type was age and birth type was age and birth type was age and birth type was age and birth type was age and birth type was age and birth type was age and birth type was determined determined determined determined. The survival rates of lambs, the number dead The survival rates of lambs, the number dead The survival rates of lambs, the number dead The survival rates of lambs, the number dead The survival rates of lambs, the number dead The survival rates of lambs, the number dead The survival rates of lambs, the number dead The survival rates of lambs, the number dead The survival rates of lambs, the number dead The survival rates of lambs, the number dead The survival rates of lambs, the number dead The survival rates of lambs, the number dead The survival rates of lambs, the number dead The survival rates of lambs, the number dead The survival rates of lambs, the number dead The survival rates of lambs, the number dead The survival rates of lambs, the number dead The survival rates of lambs, the number dead The survival rates of lambs, the number dead The survival rates of lambs, the number dead The survival rates of lambs, the number dead The survival rates of lambs, the number dead 11 lambs was determined until 180 d age. lambs was determined until 180 d age. lambs was determined until 180 d age. lambs was determined until 180 d age. lambs was determined until 180 d age. lambs was determined until 180 d age. lambs was determined until 180 d age. lambs was determined until 180 d age. lambs was determined until 180 d age.lambs was determined until 180 d age. lambs was determined until 180 d age. lambs was determined until 180 d age. lambs was determined until 180 d age. lambs was determined until 180 d age.lambs was determined until 180 d age. lambs was determined until 180 d age. The e The eThe effects of twins, maternal age, birth weight and ffects of twins, maternal age, birth weight and ffects of twins, maternal age, birth weight and ffects of twins, maternal age, birth weight and ffects of twins, maternal age, birth weight and ffects of twins, maternal age, birth weight and ffects of twins, maternal age, birth weight and ffects of twins, maternal age, birth weight and ffects of twins, maternal age, birth weight and ffects of twins, maternal age, birth weight and ffects of twins, maternal age, birth weight and ffects of twins, maternal age, birth weight and ffects of twins, maternal age, birth weight and ffects of twins, maternal age, birth weight and ffects of twins, maternal age, birth weight and ffects of twins, maternal age, birth weight and ffects of twins, maternal age, birth weight and ffects of twins, maternal age, birth weight and ffects of twins, maternal age, birth weight and ffects of twins, maternal age, birth weight and ffects of twins, maternal age, birth weight and ffects of twins, maternal age, birth weight and 12 se x on l x on l x on lamb survival rate until 180 damb survival rate until 180 d amb survival rate until 180 d amb survival rate until 180 d amb survival rate until 180 d amb survival rate until 180 d amb survival rate until 180 d amb survival rate until 180 d amb survival rate until 180 d amb survival rate until 180 d of of age were investigatedage were investigated age were investigatedage were investigated age were investigatedage were investigatedage were investigatedage were investigated age were investigated age were investigated using the using theusing the Chi -square test. square test.square test.square test. The The 13 effects of twins, maternal age, and lamb sex on effects of twins, maternal age, and lamb sex on effects of twins, maternal age, and lamb sex on effects of twins, maternal age, and lamb sex on effects of twins, maternal age, and lamb sex on effects of twins, maternal age, and lamb sex on effects of twins, maternal age, and lamb sex on effects of twins, maternal age, and lamb sex on effects of twins, maternal age, and lamb sex on effects of twins, maternal age, and lamb sex on effects of twins, maternal age, and lamb sex on effects of twins, maternal age, and lamb sex on effects of twins, maternal age, and lamb sex on effects of twins, maternal age, and lamb sex on effects of twins, maternal age, and lamb sex on effects of twins, maternal age, and lamb sex on effects of twins, maternal age, and lamb sex on effects of twins, maternal age, and lamb sex on effects of twins, maternal age, and lamb sex on effects of twins, maternal age, and lamb sex on effects of twins, maternal age, and lamb sex on effects of twins, maternal age, and lamb sex on effects of twins, maternal age, and lamb sex on the survival rate w survival rate w survival rate w survival rate w survival rate were not significant (p > ere not significant (p > ere not significant (p > ere not significant (p > ere not significant (p > ere not significant (p > ere not significant (p > ere not significant (p > ere not significant (p > ere not significant (p > ere not significant (p > ere not significant (p > 14 0.05), 0.05), whereas the effect of birth weight was whereas the effect of birth we (p ≤ 0.05). significant (p ≤ 0.05). significant (p ≤ 0.05). significant (p ≤ 0.05). significant (p ≤ 0.05). significant (p ≤ 0.05). significant (p ≤ 0.05). significant (p ≤ 0.05). significant (p ≤ 0.05). The m The mThe means of survival eans of survival eans of survival eans of survival eans of survival eans of survival eans of survival eans of survival 15 rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % rates for 30 d, 60 90 120 and 180 d were 94.70 %, 90.73 88.74 86.75 % 16 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed 83.11 %, respectively. Lambs having a birth weight of less than 4 kg showed a lower survival lower survival lower survival lower survival 17 rate than rate than rate than those having hi those having hi those having hi those having hi gher gher birth weight. birth weight. birth weight. birth weight. The s The sThe survival rate in all age periods urvival rate in all age periods urvival rate in all age periods urvival rate in all age periods urvival rate in all age periods urvival rate in all age periods urvival rate in all age periods urvival rate in all age periods urvival rate in all age periods urvival rate in all age periods urvival rate in all age periods urvival rate in all age periods urvival rate in all age periods urvival rate in all age periods was was statistically hose of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was significant except those of 30 d. The main factor affecting survival rate until weaning was 19 underweight underweight underweightunderweight at birth. at birth. at birth. Survival rate urvival rate urvival rate urvival rate for 4 kg birth 4 kg birth 4 kg birth 4 kg birth weight was the lowest limit value and weight was the lowest limit value and weight was the lowest limit value and weight was the lowest limit value and weight was the lowest limit value and weight was the lowest limit value and weight was the lowest limit value and weight was the lowest limit value and weight was the lowest limit value and weight was the lowest limit value and weight was the lowest limit value and weight was the lowest limit value and weight was the lowest limit value and weight was the lowest limit value and weight was the lowest limit value and weight was the lowest limit value and weight was the lowest limit value and the the 20 optimum birth weight value was optimum birth weight value was optimum birth weight value was optimum birth weight value was optimum birth weight value was optimum birth weight value was optimum birth weight value was optimum birth weight value was optimum birth weight value was optimum birth weight value was optimum birth weight value was optimum birth weight value was optimum birth weight value was 4-5 kg. 5 kg. The survival rate can increase o The survival rate can increase oThe survival rate can increase o The survival rate can increase o The survival rate can increase o The survival rate can increase o The survival rate can increase o The survival rate can increase oThe survival rate can increase oThe survival rate can increase o The survival rate can increase o The survival rate can increase o The survival rate can increase oThe survival rate can increase oThe survival rate can increase oThe survival rate can increase oThe survival rate can increase obtaining optimal birth btaining optimal birth btaining optimal birth btaining optimal birth btaining optimal birth btaining optimal birth btaining optimal birth btaining optimal birth btaining optimal birth 21 weight with improvements in feeding and care of pregnant ewes additional special weight with improvements in feeding and care of pregnant ewes additional special weight with improvements in feeding and care of pregnant ewes additional special careweight with improvements in feeding and care of pregnant ewes additional special weight with improvements in feeding and care of pregnant ewes additional special weight with improvements in feeding and care of pregnant ewes additional special weight with improvements in feeding and care of pregnant ewes additional special weight with improvements in feeding and care of pregnant ewes additional special weight with improvements in feeding and care of pregnant ewes additional special weight with improvements in feeding and care of pregnant ewes additional special weight with improvements in feeding and care of pregnant ewes additional special careweight with improvements in feeding and care of pregnant ewes additional special weight with improvements in feeding and care of pregnant ewes additional special careweight with improvements in feeding and care of pregnant ewes additional special weight with improvements in feeding and care of pregnant ewes additional special careweight with improvements in feeding and care of pregnant ewes additional special careweight with improvements in feeding and care of pregnant ewes additional special weight with improvements in feeding and care of pregnant ewes additional special careweight with improvements in feeding and care of pregnant ewes additional special careweight with improvements in feeding and care of pregnant ewes additional special weight with improvements in feeding and care of pregnant ewes additional special weight with improvements in feeding and care of pregnant ewes additional special careweight with improvements in feeding and care of pregnant ewes additional special weight with improvements in feeding and care of pregnant ewes additional special weight with improvements in feeding and care of pregnant ewes additional special careweight with improvements in feeding and care of pregnant ewes additional special careweight with improvements in feeding and care of pregnant ewes additional special careweight with improvements in feeding and care of pregnant ewes additional special weight with improvements in feeding and care of pregnant ewes additional special careweight with improvements in feeding and care of pregnant ewes additional special weight with improvements in feeding and care of pregnant ewes additional special careweight with improvements in feeding and care of pregnant ewes additional special weight with improvements in feeding and care of pregnant ewes additional special weight with improvements in feeding and care of pregnant ewes additional special weight with improvements in feeding and care of pregnant ewes additional special weight with improvements in feeding and care of pregnant ewes additional special careweight with improvements in feeding and care of pregnant ewes additional special careweight with improvements in feeding and care of pregnant ewes additional special of of of 22 lambs with low lambs with low birth weight. birth weight. birth

In the European Region, floods are the most common disasters, causing extensive damage and disruption. Flood mitigation measures are being undertaken throughout the centuries to reduce flood damages and losses. All proposed flood mitigation measures in Slovakia are subject of environmental impact assessment process before its approval. The paper at first introduce the environmental impact assessment process in Slovakia and involvement of risk analysis in environmental impact assessment. It elaborate and demonstrate the application of the risk analysis method for evaluating alternatives, which is core in environmental impact assessment. Risk analysis is an appropriate tool to determine the level of the risk of the proposed flood mitigation measures and through which it is possible to choose the alternative with the lowest level of risk for the environment. The objective of the paper is to propose a methodology for assessing environmental impact of flood protection objects. The paper present the application of the proposed methodology based on universal matrix of risk analysis in Šiba municipality, which belongs to one of flood vulnerable areas in Slovakia. It analyse and discuss the results of the impact assessment and offer some recommendations and conclusions with the aim of providing valuable insights for decision makers, planners and policy makers for the improvement of the EIA practice in the Slovakia.