Effect of Addition Different Levels of Parsley Leaves Powder (petroselinum sativum) to the Ration on Some Blood Serum Biochemical Traits of Broiler Ross 308

This study was conducted at Poultry Farm of Animal Resources Dept., College of Agriculture, University of AL-Qasim Green to investigate Study the effect of addition different levels of Parsley leaves powder (petroselinum sativum) to the ration on some blood serum biochemical traits of broiler Ross 308. Use the 180 broiler chicks Ross 308 day-old were randomly assigned to four treatments (by 3 replicates per treatment 15 chicks per replicate), and treatments were as follows : Treatment for the first (control) without adding Parsley leaves powder into the ration, the second treatment: Add Parsley leaves powder by 500 mg / kg feed, third-treatment: Add Parsley leaves powder by a 1000 mg / kg feed and treatment fourth: Add Parsley leaves powder  by a 1500 mg / kg feed. The experiment included a study of the following characteristics : total protein concentration, albumin, globulin and the concentration of glucose . The results indicated that the addition of Parsley leaves by  1000  and 1500 mg / kg feed to broiler diet led to a significant improvement ) p<0.05( in total protein concentration, albumin, and globulin and significant decrease) p<0.05  (in concentration of glucose .It concluded from this experience, that the addition of Parsley leaves by 1000  and 1500 mg / kg feed to the ration can lead to improve in some blood serum biochemical traits of broiler Ross 308. Keywords: Parsley Leaves powder, blood serum biochemical traits, broile

When Eye-Tracking Meets Cognitive Modeling: Applications to Cyber Security Systems

Human cognitive modeling techniques and related software tools have been widely used by researchers and practitioners to evaluate the effectiveness of user interface (UI) designs and related human performance. However, they are rarely used in the cyber security field despite the fact that human factors have been recognized as a key element for cyber security systems. For a cyber security system involving a relatively complicated UI, it could be difficult to build a cognitive model that accurately captures the different cognitive tasks involved in all user interactions. Using a moderately complicated user authentication system as an example system and CogTool as a typical cognitive modeling tool, this paper aims to provide insights into the use of eye-tracking data for facilitating human cognitive modeling of cognitive tasks more effectively and accurately. We used visual scan paths extracted from an eye-tracking user study to facilitate the design of cognitive modeling tasks. This allowed us to reproduce some insecure human behavioral patterns observed in some previous lab-based user studies on the same system, and more importantly, we also found some unexpected new results about human behavior. The comparison between human cognitive models with and without eye-tracking data suggests that eye-tracking data can provide useful information to facilitate the process of human cognitive modeling as well as to achieve a better understanding of security-related human behaviors. In addition, our results demonstrated that cyber security research can benefit from a combination of eye-tracking and cognitive modeling to study human behavior related security problems

Influence of damage on the prediction of axial crushing behavior of thin-walled aluminium extruded tubes

International audienc

Cansa planter performance of its work and its effect on some mechanical and agricultural characteristics

A field experiment was conducted in one of the fields of the Technical Institute in Shatrha 2022 to study the Cansa planter performance of its work and its effect on some mechanical and agricultural characteristics, on some performance indicators of an emergence percentage, distance between seeds, fuel consumption and slippage percentage. Three levels of a tractor practical speed (2.1, 3.2, and 4.5 km/h), and two levels of a depth of cultivation (3 and 5cm) with three Replication according to the Completely Randomized Design was applied. The results showed that the tractor velocity 2.10 km / hr recording the highest average emergence percentage of 92.05% and the lowest average distance between the seeds amounted to 14.5 cm and the lowest slippage percentage to 12.70%, while the tractor velocity 4.50 km / hr recording   the lowest fuel consumption amounted to 0.50 liters / acres and the depth was 3 cm recorded. The highest average eruption rate was 94.20%, the lowest slippage percentage was 15.23%, and the lowest fuel consumption was 0.76 liters / dunum. The depth of 5 cm achieved the lowest distance between the seeds, which amounted to 14.90 cm