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Open Access Original Research Article

Physiological Features of Hemostasis in Newborn Calves Receiving Ferroglukin, Fosprenil and Hamavit, for Iron Deficiency

Zavalishina S. Yu

Annual Research & Review in Biology, Page 1-8
DOI: 10.9734/ARRB/2017/33617

Newborn calves still often suffer from iron deficiency. This state damages their growth and development - to some extent, due to the development of pathological changes in hemostasis. Thereby, both veterinary science and cattle physiology give great scientific and practical significance to the search of approaches to effective correction of new-born calves’ hemostasis pathology connected with iron deficiency. It seemed to be perspective to evaluate the influence degree of ferroglukin, traditionally applied at iron deficiency, in combination with metabolism stimulators (fosprenil and hamavit) on new-born calves’ indices of hemostasis system. During our study it was established that new-born calves with iron deficiency were also characterized by decreased plasma antioxidant protect-ability, intensity of lipids’ peroxidation processes, increase of platelets’ hemostatic activity and blood coagulation system along with the decrease of vascular wall’s ability to bind it. In our study we found that combination of ferroglukin, fosprenil and hamavit given to new-born calves with iron deficiency showed improved plasma antioxidant and lipid peroxidation activity. Normalization of platelet activity, positive dynamics of hemostasis vascular and plasma components were also observed. Iron deficiency of new-born calves can be considered as the model of hemostasis abnormality. With its help we could try different means and their combinations to cure the pathology of hemostasis. The obtained results allowed us to consider the usage of fosprenil and hamavit combination on the background of ferroglukin to be sufficient for reducing the pathology of hemostasis in newborn calves with iron deficiency.

Open Access Original Research Article

A Novel Heart Disease Prediction System Based on Quantum Neural Network Using Clinical Parameters

Renu Narain, Sanjai Saxena, Achal Kumar Goyal

Annual Research & Review in Biology, Page 1-10
DOI: 10.9734/ARRB/2017/10456

Aims: The diagnosis of Heart disease at earliest possible stage is very crucial to increase the chance of successful treatment and to reduce the mortality rate. The interpretation of cardiovascular disease is time-consuming and requires analysis by an expert physician. Thus there is a need of expert system which may provide quick and accurate prediction of Heart disease at early possible stage, without the help of physician.

Place and Duration of Study: The study was carried out during 2010 to 2013 in the vicinity of Yamuna Nagar, Haryana, India.

Methodology: The data used for this study consists of clinical values (Diabetes Mellitus, Low Density Lipoprotein, Triglycerides and High Density Lipoprotein) and has been collected from various Hospitals of 689 patients, who have symptoms of heart disease. All these cases are analyzed after careful scrutiny with the help of the Physicians. For training and evaluation purpose we have carefully predicted the level of heart disease by taking the help of Cardiologist/ Physician. The data consists of patients’ record with doctor’s predictions/ diagnosis.

Results: The obtained result of Heart disease prediction match with the expert physician’s opinion with 96.97% accuracy and shows high degrees of sensitivity and specificity.

Conclusion: The proposed Heart Disease Prediction System based on Quantum Neural Network gives the high degrees of accuracy in predicting the risk of cardiovascular diseases, are also the best results based on clinical factors. The result generated by this system has been evaluated and validated on data of patients with the Doctor’s diagnosis. This system will help the doctors to plan for a better medication and provide the patient with early diagnosis as it performs reasonably well even without retraining. Such an expert system may also prove useful in combination with other systems to providing diagnostic and predictive medical opinions in a timely manner.

Open Access Original Research Article

Assessment of Phytoplankton Diversity in Al-Diwaniya River, Iraq

Khitam Abbas Merhoon, Foad Manher Alkam, Muhanned Remzi Nashaat

Annual Research & Review in Biology, Page 1-9
DOI: 10.9734/ARRB/2017/33228

Background and Aim: The present study was conducted to determine the biodiversity of the phytoplankton community in Al-Diwaniya River.

Place and Duration of Study: Al-Diwaniya River in Al-Qadisiyah Province at three stations (station 1 is located to the north of the city, station 2 is located in the city center and station 3 is located south of the city) during four season of 2015.

Methodology: The evaluation included biological aspects using qualitative and quantitative studies of phytoplankton, Species Richness index D, Shannon – Weiner index H, Species uniformity index E.

Statistical Analysis: A comparison of phytoplankton community in two level 30 cm and 60 cm from the three stations was investigated.    

Results: Current study recorded total number of phytoplankton in depth 30 cm and 60 cm ranged from 2244.5 to 15104.7 cell x 103 L-1 and 965.7 to 5610.4 cell x 103 L-1 respectively. Also, two peaks of bloom, the first in spring and the other in autumn, it was founded that the total density in depth 30 cm was higher than its in 60 cm. Species Richness index values ranged from 6.22 - 16.61; 5.81 -10.64, More than the values of Shannon Weiner index ranged from 1.51-3.75; 2.35 -3.39 bit Ind.-1, while Evenness index mean values were 0.47 - 0.95; 0.7 - 0.96 for phytoplankton communities in depth 30 cm and 60 cm respectively.

Conclusion: Biodiversity indicator showed moderate pollution and good diversity of Al-Diwaniya River at the station 2, while a poor diversity and contaminated at the station 3 due to expose to environmental stresses from of industrial, residential waste and wastewater effect.

Open Access Review Article

Protection of Metal Surfaces from Microbial Colonization

Rawia Mansour, Ali Mohamed Elshafei

Annual Research & Review in Biology, Page 1-8
DOI: 10.9734/ARRB/2017/34452

This review discusses some aspects relating to the microbial interaction to metal surfaces. Most of the previous studies assumed that this process results in increased corrosion rates (MIC), however more recently it has been reported that many bacterial species can reduce corrosion rates of different metals and alloys in many corrosive environments by changing drastically the electrochemical conditions at the metal-solution interface. These changes ranged from acceleration of corrosion to corrosion inhibition. Microorganisms can contribute to corrosion inhibition by different means such as neutralizing the action of corrosive substances, formation of protective films on a metal surface and finally through the induction of a decrease in the medium corrosiveness. The mechanism of corrosion protection seems to be different for different bacteria since it has been found that the corrosion potential Ecorr became more negative in the presence of Shewanella ana and algae, but more positive in the presence of Bacillus subtilis. We previously described the efficient effect of the prepared 1,3-Bis-(4-amino-benzoyl) thiourea (AB-T) compound on corrosion inhibition of carbon steel in 0.5 M hydrochloric acid solution using different concentrations and different methods. In addition, results obtained indicated that AB-T was found to possess an anti-microbial activity against Gram-positive bacteria (Bacillus mycoides), Gram-negative bacteria (Escherichia coli) and non-filamentous fungi (Candida albicans).

Open Access Review Article

Microbial Evaluation of Milk and Milk Products during a Past Two Decades, in Basrah Southern Iraq: A Review

Basil A. Abbas, M. Khalid Ghadban, A. M. Alghanim

Annual Research & Review in Biology, Page 1-8
DOI: 10.9734/ARRB/2017/34855

During the past decades, many researches have investigated the microbiological quality of milk and milk products. Milk was found to be contaminated with several types of bacteria. Most of these bacteria have been found to show different antibiotic resistance patterns against several known antibiotics. Different characterization methods such as conventional biochemical tests and DNA-based methods have been applied. Therefore, the aim of this study was to review the recent studies about the microbiological quality of milk and milk products.