Boolean model elaborates discrete modelling of any biological system with the purpose to study it... more Boolean model elaborates discrete modelling of any biological system with the purpose to study its dynamical evolution. The representative network has been composed of nodes and edges that show the way of interactions between these nodes. The modelling consists of a set of logical functions, known as Boolean functions that represent the interactions between nodes, and are simulated to determine all attractors of the system, and consequently, its stable states are stated as fixed points. In this paper, we give a description of the methodology followed to write Boolean functions. We present two different Boolean models constructed by these two methods and the differences shown in the results they simulate. In a situation where experimental data are missing, the functions have been usually written under prediction and assumptions made for this occasion, because the path followed by the information to jump from one node to another was considered mandatory for the first Boolean model. Di...
The topology of a biological network may differ, depending on the type of elements and the intera... more The topology of a biological network may differ, depending on the type of elements and the interactions between them. A protein signaling pathway considered as a directed network can be studied through the centralities analysis. The knowledge about the centralities is crucial to determine the most important network nodes, which can somehow define the further analysis needed for that network. Here we make a structural analysis of two networks, the AMPK-signaling pathway, and the mTOR-signaling pathway. The commonalities between these two networks are visible, and calculation of the centralities for all the nodes of the two networks show that they both have the same most important nodes, meaning that the signal inside the networks passes mostly through the same most important proteins such as AMPK, mTOR, RHEB, Akt, ELK1.2, and TSC1/2. However, we aim to go beyond this process. Our purpose is to make a dynamic study of a new bigger network composed of the most important nodes of these ...
In this paper, we present a study of the impact that the COVID-19 pandemic situation created in t... more In this paper, we present a study of the impact that the COVID-19 pandemic situation created in the pre-university education system in Albania for two years. We are mainly interested in students' attitudes on online learning and its effect on their knowledge and future learning. For this, we have performed a survey composed of 28 questions answered by 1506 high-school students, of which 67.5 % study in public schools. Most students, 87.7 % of them prefer traditional learning, i.e., being in the classroom, while only 6.6 % seem to prefer more online learning. 79.4 % of the students have answered that they had the entire necessary appliance for online learning, but only 9.3 % of the total students admitted that they never had technical problems during online learning/teaching, while most of them usually had. The majority of students admit that their performance during the online classes was not at a high-quality level. Although they feel comfortable being online most of the time, ...
Boolean model elaborates discrete modelling of any biological system with the purpose to study it... more Boolean model elaborates discrete modelling of any biological system with the purpose to study its dynamical evolution. The representative network has been composed of nodes and edges that show the way of interactions between these nodes. The modelling consists of a set of logical functions, known as Boolean functions that represent the interactions between nodes, and are simulated to determine all attractors of the system, and consequently, its stable states are stated as fixed points. In this paper, we give a description of the methodology followed to write Boolean functions. We present two different Boolean models constructed by these two methods and the differences shown in the results they simulate. In a situation where experimental data are missing, the functions have been usually written under prediction and assumptions made for this occasion, because the path followed by the information to jump from one node to another was considered mandatory for the first Boolean model. Di...
The topology of a biological network may differ, depending on the type of elements and the intera... more The topology of a biological network may differ, depending on the type of elements and the interactions between them. A protein signaling pathway considered as a directed network can be studied through the centralities analysis. The knowledge about the centralities is crucial to determine the most important network nodes, which can somehow define the further analysis needed for that network. Here we make a structural analysis of two networks, the AMPK-signaling pathway, and the mTOR-signaling pathway. The commonalities between these two networks are visible, and calculation of the centralities for all the nodes of the two networks show that they both have the same most important nodes, meaning that the signal inside the networks passes mostly through the same most important proteins such as AMPK, mTOR, RHEB, Akt, ELK1.2, and TSC1/2. However, we aim to go beyond this process. Our purpose is to make a dynamic study of a new bigger network composed of the most important nodes of these ...
In this paper, we present a study of the impact that the COVID-19 pandemic situation created in t... more In this paper, we present a study of the impact that the COVID-19 pandemic situation created in the pre-university education system in Albania for two years. We are mainly interested in students' attitudes on online learning and its effect on their knowledge and future learning. For this, we have performed a survey composed of 28 questions answered by 1506 high-school students, of which 67.5 % study in public schools. Most students, 87.7 % of them prefer traditional learning, i.e., being in the classroom, while only 6.6 % seem to prefer more online learning. 79.4 % of the students have answered that they had the entire necessary appliance for online learning, but only 9.3 % of the total students admitted that they never had technical problems during online learning/teaching, while most of them usually had. The majority of students admit that their performance during the online classes was not at a high-quality level. Although they feel comfortable being online most of the time, ...
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