Role for the Jordanian Secondary School to Develop Students Health Awareness

The study aimed to identify the role for the Jordanian secondary school to develop student’s health awareness. To achieve the objectives of the study, the use of the descriptive approach was developed and a tool was developed to achieve its objectives. The study sample consisted of (350) teachers of secondary school who were selected by the cluster method and distributed in three regions, North, South and Central. . The results of the study showed that the estimates of the study sample for the role of Jordanian secondary schools in developing health awareness among their students came to a high degree, and there were statistically significant differences in the sample estimates of the reality of the role of secondary schools in developing health awareness according to the variable of gender and in favor of females and according to the variable of specialization and in favor of humanitarian specialties. In light of the results, the study recommended several recommendations, including increasing the focus on the importance of spreading health awareness among faculty members, including teachers, educators, and administrative staff on the one hand, and among students on the other hand, to include both genders, all age groups, and academic and occupational level

Truth-Teller–Liar Puzzles with Self-Reference

In this paper, we use commonsense reasoning and graph representation to study logical puzzles with three types of people. Strong Truth-Tellers say only true atomic statements, Strong Liars say only false atomic statements, and Strong Crazy people say only self-contradicting statements. Self-contradicting statements are connected to the Liar paradox, i.e., no Truth-Teller or a Liar could say “I am a Liar”. A puzzle is clear if it only contains its given statements to solve it, and a puzzle is good if it has exactly one solution. It is known that there is no clear and good Strong Truth-Teller–Strong Liar (also called SS) puzzle. However, as we prove here, there are good and clear Strong Truth-Teller, Strong Liar and Strong Crazy puzzles (SSS-puzzles). The newly investigated type ‘Crazy’ drastically changes the scenario. Some properties of the new types of puzzles are analyzed, and some statistics are also given

Neural Network Prediction Model to Explore Complex Nonlinear Behavior in Dynamic Biological Network

Organism network systems provide a biological data with high complex level. Besides, these data reflect the complex activities in organisms that identifies nonlinear behavior as well. Hence, mathematical modelling methods such as Ordinary Differential Equations model (ODE's) are becoming significant tools to predict, and expose implied knowledge and data. Unfortunately, the aforementioned approaches face some of cons such as the scarcity and the vagueness in the biological knowledge to expect the protein concentrations measurements. So, the main object of this research presents a computational model such as a neural Feed Forward Network model using Back Propagation algorithm to engage with imprecise and missing biological knowledge to provide more insight about biological systems in organisms. Therefore, the model predicts protein concentration and illustrates the nonlinear behavior for the biological dynamic behavior in precise form. Also, the desired results are matched with recent ODE's model and it provides precise results in simpler form than ODEs