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In this study the effect of iron of Fe (So₄)₂ (7H₂O( and probiotics BioPlus 2B on some blood parameters was investigated on 270 of Rutilus frisii kutum fry with total weight of 0.4±0.1 gr and total length of 3.9±0.3 cm  in nine treatments and triplicates during 60 days. Results showed that the highest number of red blood cells (RBCs) (1.65×10⁶± 1.55 per mm³⁾, hemoglobin concentration (7.36±0.15 g/dl), hematocrit concentration (24.03±0.85 %), MCV (1.45±1.48 Fl), MCH (46.29±0.25 pg) and lymphocyte (92±2) belong to treatment 5. The highest level of MCHC (34.65±0.67 g/dl) and the greatest level of white blood cells (6.6±100 per mm³) were observed in treatments 4 and 8, respectively. The findings of this research showed that treatment 5 contained the highest amount of iron (7 mg/kg of feed) and probiotics (CFC 1.6×10⁹) resulted in the highest amount of red blood cells, hemoglobin, hematocrit, MCV, MCH and lymphocytes in this study.

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This study was carried out to show the effects of herbal supplement of Sangrovit on the growth parameters, blood biochemical factors, survival and resistance to salinity of the Caspian kutum fry. Fish (1±0.003 g) were divided into four groups fed on diets containing sangrovit at different levels: 0 (control), 0.05, 0.1 and 0.15 % for 45 days. The results showed that there was a significant increase in the final weight, weight gain and specific growth rate of the fish fed on sangrovit diets (p<0.05). In addition, food conversion rate of fish fed on sangrovit diet was found to be significantly (p<0.05) lower than the control group. However, there was no significant difference in the condition factor, glucose and total protein levels of the experimental groups and the control group (p>0.05). On the other hand, blood cholesterol of the Caspian kutum was significantly increased in the control group (190.17±0.013 mg dl^-1) in comparison to treatments sangrovit (p<0.05). Survival and resistance to salinity stress remained unaffected by dietary supplementation of sangrovit (p>0.05). The results of the present study also indicated that dietary Primalac beneficially affected the growth performance and blood biochemical parameters of the Caspian kutum fry. The findings of the present study indicated that the herbal supplement of sangrovit could improve the growth rate, feed utilization and blood biochemical parameters of the Caspian kutum fry.

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This study was conducted in order to measure glucose, cholesterol and hematocrit as indicators to evaluate the effect of caraway seeds meal (CSM) on the health and resistance of common carp to salinity stress. To attain this goal, fish (2.457±0.057 g) were divided into four groups fed on diets containing different levels of CSM; 0 (control), 0.5, 1 and 1.5%. After 56 days of feeding, blood samples of the fish were obtained in five stages (once before and four times after stress) to evaluate glucose, cholesterol and hematocrit levels. The experiments indicated that salinity sign-ificantly affected glucose, cholesterol and hematocrit. On the first day after stress, the hematocrit and glucose levels were considerably increased in all groups compared with their levels before stress. After stress, cholesterol level signif-icantly decreased in all groups compared to before stress. The level of hematocrit indicated no significant difference among the groups before and after stress. On the first day after stress, the glucose levels significantly increased in trea-ted groups with CSM compared with the control group. The glucose and hematocrit levels were decreased gradually in all groups from the third day on. After stress, no differences were observed for survival rates among the experimental diets. However, the highest survival rate belonged to treated groups with CSM. The overall result indicated that the suplement of CSM has a positive influence on the glucose, hematocrit and resistance of common carp to salinity stress.

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Feeding frequency and stocking density are important factors affecting growth and maturation of cultured fishes. The aims of this investigation were to determine the effects of stocking density (10, 20, 30 and 40 fish per aquarium) and feeding frequency (2, 3 and 4 times per day) on growth parameters and hematocrit of the Rutilus rutilus caspicus. The experiment was continued for 45 days in two replicates. The results of this study showed that growth parameters, including weigh gain (WG), feed conversion ratio (FCR) and specific growth rate (SGR) were affected significantly by stocking density (P<0.05), but not significantly affected by feeding frequency (P>0.05). The highest WG and SGR were recorded with the lowest stocking density (10 fish / aquarium). The least FCR was obtained in density of 10 fish/aquarium, FCR value was significantly higher with high stocking density (P<0.05). Also, interactions between stocking density and feeding frequency were no significant on growth parameters (P>0.05). Density and feeding frequency hand no significant effect of hematocrit concentration (P>0.05). On the other hand, interactions between stocking density and feeding frequency significantly affected hematocrit levels (P<0.05). The lowest level of hematocrit was observed in density of 10 fish/aquarium at two times / day feeding frequency. The results of this study indicated that density is significantly affected the growth, but increasing of feeding frequency there is not effect on growth in the Rutilus rutilus caspicus.
 

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In this paper, the urinary infection, that is a common symptom of the decline of the immune system, is discussed based on the well-known algorithms in machine learning, such as Bayesian networks in both Markov and tree structures. A large scale sampling has been executed to evaluate the performance of Bayesian network algorithm. A number of 4052 samples wereobtained from the database of the Takestan Department of Health, a center affiliated to Qazvin University of Medical Sciences. According to the goals of the study and using the expert opinion of the laboratory and urologist, 15 variables were selected. The database included both urine analysis and culture tests. The results indicated 99.7% accuracy of the diagnosis for the training data, (75% of total data), and 99.8% accuracy of the diagnosis for testing data (25% of total data). Based on the Bayesian network model, the important covariates influencing the Urinary infection have been proved to be the increase of bacteria and the decrease of white blood cells in different age groups. The results of this study can be used in the context of machine learning and intelligent systems for rapid diagnosis of the disease and the treatment of people suspected of suffering from it.