This paper presents the first measures of healthcare in NW Romania - Bihor County, in the XVIIIth century and at the beginning of the XIXth century, period called the “Age of Enlightenment”. During the Enlightenment, the Bihor County was incorporated in the Habsburg Empire, being subordinated to the normative and measures initiated by the imperial court from Vienna. With all the progress made on the healthcare line in these years, a high frequency of infectious diseases, especially in rural areas, was noticed. Numerous epidemics have been reported, which were making ravages among the population. The most devastating by their effect were plague, smallpox, cholera, and of these, the greatest suffering and human loss were caused by the plague.

Projects some time fail to obtain their desired outcomes and not complete according to project\nconstraints and that lead to risk. It is important to minimize the impact of risk in order to attain\nproject success. Therefore, risk, and its management is vital for project success.\nRisk management as a method to prevent the risk and make sure not to be repeated through the\nproject and that by study of the causes of each risk to be avoided in the future, also risk\nmanagement extends to the fund-raising to make up for the project for the losses that occur in order\nnot to stop working and production .\nRisk response in the projects is to rank the elements of the risk by taking an action and relevant to\nits level. it\'s very necessary that risk response has the ability to treat all the type of risk event like\nthe planned risk response, the possible risk response and the estimation of cost for the responding\nwhich is consider to be an essential.\nOne of the important techniques of risk analysis is fuzzy logic ,the originator of fuzzy logic is Lotfi\nZadeh .significant advancement was made by him in the stabilization of fuzzy logic as a scientific\ndiscipline. fuzzy logic not a unique system of knowledge instead is a variety of methodologies\nsuggesting logical consideration of knowledge that imperfectly and vaguely.\nThe methodology of the paper includes two part, questionnaire and the use of data mining\ntechniques. The questionnaire was distributed to the owners, the contractor and other parties\ninvolved in the project, 9 projects were taken and the questionnaire was distributed to 15 people\nwho work in the project. The questionnaire includes the risk generated from risk response five\nmeasurements were used which are too low, low, medium, high and too high, the risk of the project\nare shown in the table below and its distributed on the periods 2014-2016 , the program that use\nfor risk analysis is KNIME combine with WEKA\n2\nfrom the results show the WEKA node and KNIME node the following was observed The\nsensitivity by using KNIME is higher than using the WEKA The specify of using KNIME is more\nthan using WEKA . The F- mean by using KNIME is higher than using the WEKA .The Cohen\nby using KNIME is more than using the WEKA The accuracy by using KNIME is more than\nusing the WEKA

In this paper, we performed a comparison based on ECG signals for participants with distinct ends of cardiopulmonary fitness at graded exercise intensities. Based on the targeted maximum hear rate, three graded upright biking exercise levels, light, moderate, and vigorous exercises, were defined for the experiment. The cardiopulmonary signals were acquired under rest condition, at three graded exercise levels, and under subsequent recovery periods. The participants were recruited from university freshmen with cardiopulmonary fitness norm at top, middle, and bottom 20% groups. Time domain and Spectral analysis were performed to study the principal components of hear rate variability (HRV) from recorded ECG signals. The time domain HRV parameters, SDNN and RMSSD, and their recovery rate, SDNNRR and RMSSDRR, did not indicate consistent support for significant differences between three groups throughout the graded exercises and their recoveries. Notably, the frequency domain measures TP, HF, nLF, nHF, and LF/HF of the spectrum analysis HRV indices all showed significant differences between the three groups. The LF power also showed a significant difference between rest and each of the exercise levels, and during the recovery period after vigorous exercise. The VLF index, however, did not seem to have a significant difference between groups except following moderate exercise (p = 0.001). A multiple-comparison test on TP indicated significant differences in most between-group comparisons (except between M and B during moderate exercise, T and M during recovery from moderate exercise, and M and B during recovery from vigorous exercise). Significant differences were found in most between-group comparisons (except between M and B at rest and during the recovery from light and medium exercise, and between T and M during the recovery from vigorous exercise).

TCSC employs fast switching ability of power electronic devices and is able to control power flow on transmission lines during various alarming stages. The aim of this work is to integrate TCSC into 500 KV Hubco-Jamshoro transmission line to investigate the operational benefits. A simulation model is developed under MATLAB/Simulink and many simulation studies are performed to verify the feasibility of the proposed model for transmission line. The core essence of this work is to improve the power transmission capabilities of 500kV transmission line by employing TCSC switching schemes, which helps to compensate the power flows when installed in transmission line and thereby increases the transmission line loadability.

A field experiment was undertaken at the Agronomic Research area of the Faculty of Agriculture, University of Agriculture Faisalabad (Pakistan) during the periods of October 15, 2011 to July 15, 2013; to evaluate the effect of cutting management, seed rates and sowing methods on seed yield of alfalfa (Medicago sativa L.). The treatments comprised of three last cutting dates were 19 February (C1), 5 March (C2) and 19 March (C3), three seeding rates were 10 (S1), 15 (S2) and 20 kg ha-1 (S3) and four sowing method were line sowing in 30 (R1), 45(R2), 60 cm (R3) apart rows and broadcast (R0), respectively. Alfalfa variety named “Sargodha Lucerne” was sown in 3.6 m × 5.0 m plot size by using RCBD split plot arrangement with three replications. Cutting management was placed in the main plot while seeding rates and sowing methods were placed in sub-plots. Last cutting on 19 February (C1) has a high significant effect on raceme plant-1, pods raceme-1, 1000 seed wt. and final seed yield. Seeding rate of 10 kg ha-1has significant effect on raceme m-2, pods raceme-1, seeds pod-1 and final seed yield for both years. Results were also showed that sowing method of using 60 cm (R3) has significant effects on raceme m-2, pods raceme-1, seeds pod-1, 1000 seed wt. and final seed yield in both years. It concluded that alfalfa forage crop left on 19 February with 10 kg ha-1 and 60 cm gave the higher seed yield.

Experiment was carried out during 2016 on desi cotton at agronomy research field adjacent to faculty of Agriculture LUAWMS, Uthal, Balochistan. Reason of the trail was to check the influence of planting interval on the growth characteristics and yield of Desi cotton (Gossypium arboreum L.) under coastal regime of Lasbela. Experiment was included three genotypes of Desi Cotton i.e. C1 (FDH-512), C2 (FDH-502), C3 (FDH-170) and three fortnight sowing times such as S1 = 15 March, S2 = 1st April and S3 = 15 April. A significant results were observed for different traits such as number of monopodial branches, number of sympodial branches, number of capsule per plant, number of seed per capsule, number of locules per capsule, number of seed per locules, weight of seed per capsule, seed colour, seed yield per plant, lint percentage (%), root shoot ratio (%), root depth (cm) for various sowing dates and desi cotton varieties. Results of the traits like i.e. number of locules and per capsule, number of seed per locules was yielded completely non significant outcomes both for the diversed sowing period and desi cotton genotypes. Interaction between the both factors was found to be non significant in all traits. The correlation amongst cotton individual characteristics was observed, it was checked that capsules per plant and lint percentage, monopodial branches per plant, root shoot ratio, root depth, seed weight per capsule and seed yield per plant were significantly and positively correlated with each other. The better correlation between capsules per plant and monopodial branches per plant showed that within desi cotton an assortment of traits may be helpful to enhance the cotton yields. The seed yield and lint percentage were also significantly correlated with each other which showed that selection may be positive responsive in sense of lint percentage, monopodial branches, seed yield per plant, capsules per plant and seed weight per capsule to get superior yield of cotton. So on basis of the test it was wind up that under the agro climatic conditions of district Lasbela best sowing times for the desi cotton cultivation is 15th April for production of the maximum cotton yield. Growth and yield components of desi cotton variety FDH-170 produce best results under the coastal environments.