A Numerical computation of airflow over Iraq

The best way to understand the general atmosphere system is to collect and analyze data, identify the variables that occur in the upper and lower classes, and compare them with other values in favor of comparing them to other studies and research. Studies have been conducted in this research by analyzing the wind speed and direction and comparing it with the surface roughness to reach a concept by dividing the regions of Iraq on the basis of the surface roughness that affects the wind speed near the surface. The research aims to know the effect of air flow on the nature of the earth's surface and its effect on the different regions in Iraq. The methods used in the study depend on the hourly rates of surface roughness, wind speed and direction taken from the European-Mediterranean Weather Forecast (ECMWF) for a full year 2016 from 34 stations over Iraq. Results obtained from wind speed analysis and trend data. The highest value of wind speed (6.5 m / s) in the less rough areas (0-50 m) is concentrated in the semi-desert in the southern and western regions of the country (Anbar, Najaf and Smawa) and the lowest wind speed (1.8 m / s) for the rough areas (11- 72 m) in the mountainous regions in the northern part of the state. The importance of the results enables us to know the movement of air in this layer in terms of its weakness or strength according to the nature of the surface of the earth, as it has formed (barren lands, bodies of water, mountainous areas), which can be used in future studies to monitor the movement and speed of winds and to determine the natural properties of the air layer in contact with the surface of the earth. This requires knowledge of the impact of temperature, wind speed and direction in dividing the layers of Iraq on the basis of surface roughness.

Health behavior evaluation in women with multiple pregnancies

Objective: The main purpose of this study is to evaluate the impact of the health behavior in pregnant Iraqi women in multiple pregnancies, and which one had characteristic influence in examined Iraqi women. Patients and Methods:The study was carried out in Al-Yermook Hospital for a period of one year from July 2019 to July 2020. It was included 40 pregnant women in multiple pregnancies, completed the 22 weeks gestational age, with taking their verbal consent for the participation in this investigation. Selected questioner used to collect data, as well as using Juczyński’s Health Behavior Inventory questionnaire to evaluate the health behaviors of recruited women involved in this study. Results:The heath behaviors rate was high particularly for Iraqi pregnant women in multiple pregnancies, as the health behaviors indicators were high among all the identified categories. Conclusion: The higher health behavior rate of pregnant women in multiple pregnancies, as the preventative behaviors had the highest rate.

Great benefits of Conocarpus erectus

Plants still an important source of omega oils that help to healthy for human and animals. Fresh leaves, stem, flower and fruits samples from Conocarpus erectus family Combretaceae has been analyzed using (GLC) Gas and liquid chromatography. The results indicated high levels of Omega oils which related to growth of nerve cells in brain. PH of fresh leaves determined and alkaloids with 8.2 which could help patients of diabetic type II

Mutation Effect of Chemical Mutagen Ethymthane sulfonate (EMS) on Some Local Yeasts

Thirty samples of orange juice were collected from local markets in Mosul / Iraq. Isolates were diagnosed after performing phenotypic, culture and biochemical tests. The results showed that the yeasts belong to the following species: Rhodotorula rubra 36%, Trichosporon asahii 16%, Cryptococcus laurentii 28%, and Candida tropicalis 20%. The susceptibility of isolates to six antibiotics Candizole (Cd), Clotrimazole (Ct), Fluconazole (Fc), Ketoconazole (Kc), Lamisil (Ls), and Nystatin (Nys) was studied. The results of the sensitivity test showed that R. rubra was resistant to all antibiotics used except for Lamisil (Ls). The rest of the yeasts varied among themselves in their resist antibiotics. The chemical mutagen Ethyl Methanesulfate (EMS) at a concentration of 0.2 mg / ml on the vitality of the yeasts showed that the highest effect in the yeast Crypto. laurentii, with the killing severity reaching 4.47% while the lowest effected yeast was Tricho. asahii, with killing severity reaching 72%.

On-site detection of saliva-alcohol as a function of blood alcohol concentration using colorimetric biosensor based on deposited Chromium (VII) Oxide Nanoparticles on filter paper

Alcohol intoxication is usually associated with drowning, falls, overdoses, fires, occupational accidents, physical and sexual abusements, domestic violence and traffic accidents. Therefore, alcohol considered an important factor for the explanation of the occurrence of many types of injuries. For many purposes such as forensic, it is important to establish a detection method to ensure whether the subject or the patient have consumed alcohol at a level that would be the reason for the accidents or injuries occur. Therefore, in this work, a simple, rapid and low-cost method was developed and validated for the detection of the alcohol in saliva as a function of blood alcohol concentration (BAC). The method is based on fabricated a biosensor consisted of chromium oxide nanoparticles deposited on filter paper. The validation of the biosensor was tested on 50 participants which categories into two selected groups (1 and 2). Group 1 consisted of 20 subjects from an organized party (no alcohol), they usually consumed three to four drinks as an average per week while Group 2 consisted of 30 subjects from an organized party the local bar (alcohol group), usually consumed two to three drinks per day. The results of the present study have shown that 95% of group 1 demonstrated positive results with variable colour intensities of the BAC in comparison to the 80% only of subjects from group 2. The present study has approved that the fabricated biosensor can effectively detect 0.02% or more of BAC which can be a useful test for many purposes such as medical, forensic, research and workplace.

Seaweed Growth Detection in Aquaculture Environment Using Simple Linear Iterative Clustering Method

Estimating the total biomass of cultivates in aquaculture plantations (fisheries, mussel plants, seaweed farms and compound sites) remains to be an issue for the industry and the researchers alike. There has been a diverse array of approaches towards this issue, like using markers, manually stapling the leaflets, weighting the actual mass of the organism and calculating the total mass by extrapolation. Seaweed growth detection is a subset of this problem. Our goal is to introduce a solution by automatically detecting the ratio of the target object in images of seaweed taken from an underwater environment. Researchers/operators then can evaluate the total mass of seaweed. This study aimed to function as a decision support system. The system is built based on an image segmentation algorithm named Simple Linear Iterative Clustering (SLIC) which is a kind of superpixel segmentation. This paper conveys the results obtained from our approach towards the seaweed growth detection, elaborates on the usage and feasibility of our solution in seaweed sites and showcase the economic impact in the industry. Other dimensions of the growth detection methods in current practice for seaweed growth is also discussed, such as lack of automation in the current best-practices while focusing on the difficulties accompanying this status-quo.