Requirements for Establishing Smart School System in Algeria Based on Malaysian Smart School

This project was proposed to identify the needed requirements for adoption of Smart School System in Algeria based on Malaysian Smart School. This study was conducted to seek the current weaknesses and the requirements. It proposes a feasible model to adopt this system. The methodology has been adapted from the method of Magliaro and Eziefe which consist of both qualitative and quantitative study. The results have been sought by questionnaire and literature review, which helped to identify the weaknesses and requirements to carry out this adoption in Algeria. The requirements have been achieved can motivate the Algerian government to launch an effective strategy, and to create a base on which future studies on the ICT integration into the Algerian educational system can be built. In addition the decision makers enable to apply this study for preparing the policy on using ICT to develop the educational sector in Algeria

ANALYSIS OF COVID-19 LOCKDOWN POLICY IMPACT BY THE GOVERNMENT OF THE COUNTRY ON THE ECONOMIC SECTOR AND SIGNING OF WORKING RELATIONSHIPS (LAYOFFS)

The lockdown authority based on the laws in each country regarding Health Quarantine is the absolute authority of the Government. As stated, "health quarantine is carried out to prevent and ward off the entry or entry of diseases and / or community health risk factors that have the potential to cause public health emergencies." Therefore if there is a regional government that feels the region has an emergency situation and wants to do a lockdown, of course this is unconstitutional and there needs to be a consul from the regional head with the central government before making any related policies. Considering the emergency situation, the spread of the corona virus which has now infected many people (starting from December 2019 to June 2020) can be categorized as an infectious disease that can trigger public health emergencies, so that the implementation of national quarantine can actually be done especially with authority which is clearly stated in the legislation. But so far the central government has not issued a lockdown policy, even though the number of infections has increased. This is influenced by economic considerations during the lockdown. Economic decline, business failure to the number of layoffs by companies are the main considerations. Likewise, the risk of many workers will be fired (laid off) because the company or office is not operating. Not to mention the government must be able to meet the basic needs of the population during lockdown or national quarantine activities when enacted. The question also arises, whether the government is able to meet the primary needs of its citizens when the lockdown occurs

Cytotoxic effect of the purified lectin from locally Isolate Acinetobacter baumannii on Hep-2 tumor cell line

Lectins are glycoproteins of non-immune origin which have a wide range of application in medical field. In this study, a novel strain, Acinetobacter baumannii S4 gave the highest production level of lectin by microscopic glass slide and microtiter plate methods and found that lectin agglutinated non-specifically red blood cells of human type A+, B+, AB+ and O+ also  the blood group O+ was the best among the other blood groups. Purification of the lectin was achieved by35% saturation ammonium sulfate followed by affinity ion-exchange chromatography on DEAE -cellulose column and  gel filtration chromatography Sephadex G-75 column with a yield of 36% and a purification fold of 4.66.This study showed that the purified lectin has a cytotoxic effects on cancer cell (Hep-2) as could be seen from their effects on inhibition percentage and the significant differences (p<0.05) which was observed by increasing the inhibition percentage as the concentration and time were increased. The higher level of inhibition(64%) was obtained at concentration56.25?g/ml after 72hour of exposure and when the concentration was increased more than56.25?g/ml, the inhibition rate was decreased

The Effect of Low-Density Polyethylene Addition and Temperature on Creep-recovery Behavior of Hot Mix Asphalt

Industrial and domestic plastic waste is second harmful products to the environment. Considering the technological development and the current way of life, this non-biodegradable waste and its enormous quantities threaten the balance of the ecosystem and human health. The present study was an attempt to investigate the effect of Low-density polyethylene “LDPE” plastic waste, used us asphalt additive, on creep-recovery behavior of Hot Mix Asphalt (HMA). This technique is a contribution to the improvement of the quality and cost of HMA, for alternate materials. In this experimental study, two mixes of asphalts were prepared, basic and modified asphalts, and tested in four points bending test at two different temperatures, medium (20°C) and high temperature (50°C). The use of 5 % of LDPE gave a better thermo-mechanical performance. As well as, a decrease in total deformation by 51 % and 13 % at 20°C and 50°C respectively. A clear improvement of the resistance to the creep permanent deformation, rigidity and lasted in life. This modification serves a powerful, economic and environmental solution for road construction of hot Saharan areas at medium and high temperature of service

Structures and Reactivity Patterns of Group 9 Metallocorroles

Group 9 metallocorroles 1-M(PPh_3) and 1-M(py)_2 [M = Co(III), Rh(III), Ir(III); 1 denotes the trianion of 5,10,15-tris-pentafluorophenylcorrole] have been fully characterized by structural, spectroscopic, and electrochemical methods. Crystal structure analyses reveal that average metal−N(pyrrole) bond lengths of the bis-pyridine metal(III) complexes increase from Co (1.886 Å) to Rh (1.957 Å)/Ir (1.963 Å); and the average metal−N(pyridine) bond lengths also increase from Co (1.995 Å) to Rh (2.065 Å)/Ir (2.059 Å). Ligand affinities for 1-M(PPh_3) axial coordination sites increase dramatically in the order 1-Co(PPh_3) < 1-Rh(PPh_3) < 1-Ir(PPh_3). There is a surprising invariance in the M(+/0) reduction potentials within the five- and six-coordinate corrole series, and even between them; the average M(+/0) potential of 1-M(PPh_3) is 0.78 V vs Ag/AgCl in CH_2Cl_2 solution, whereas that of 1-M(py)_2 is 0.70 V under the same conditions. Electronic structures of one-electron-oxidized 1-M(py)_2 complexes have been assigned by analysis of electron paramagnetic resonance spectroscopic measurements: oxidation is corrole-centered for 1-Co(py)_2 (g = 2.008) and 1-Rh(py)_2 (g = 2.003), and metal-centered for 1-Ir(tma)_2 (g_(zz) = 2.489, g_(yy) = 2.010, g_(xx) = 1.884, g_(av) = 2.128) and 1-Ir(py)_2 (g_(zz) = 2.401, g_(yy) = 2.000, g_(xx) = 1.937, g_(av) = 2.113)

LiBr-Catalyzed Simple and Efficient Synthesis of Some Novel Substituted Quinolines via Friedlander Heteroannulation Reaction

A simple and efficient method has been developed for the condensation of o‐aminoaryl ketones with α‐methylene ketones in the presence of catalytic amounts of LiBr to afford the corresponding fused cyclic quinolines in high yield using the Friedlander heteroannulation reaction. The reaction works at ambient temperature to give the products within 1.5–2 h

An Hyperparameter Optimization Study of Brain Tumor Medical Image Segmentation Using U-net

TheClinicians take a significant amount of time in interpreting medical images in general and brain MRIin particular to minimize the error rate and identify the exact location of lesions and their types. The emergence of deep learning and the image segmentation performance have called us to apply it for brain tumors identification and thus assisting clinicians to solve this problem. Through the literature review, we can see that the U-Net method is one of the most promising methods already applied to biomedical images in general and on MRI segmentation in particular. But few works have studied the hyperparameters of this technique in order to make a comparison and choose the best one. The existing works focus on the application of the basic U-Net model only without trying to modify these parameters. In this paper, we have made a state of the art of existing U-Net approaches to study the different parametric configurations used and then we have proposed other configurations, based on other deep learning models. A final comparison between the initial approach and the proposed approach gave as good results

A New Galactic Swarm Optimization Algorithm Enhanced with Grey Wolf Optimizer for Training Artificial Neural Networks

This paper proposes a new Galactic Swarm Optimization (GSO) algorithm enhanced with Grey Wolf Optimizer (GWO).The proposed algorithm is used to train a feedforward Neural Network for function approximation. Galactic swarm optimization isa popular swarm algorithm that has been used to solve optimization problems. It is motivated by stars movement and thesuperclusters of a galaxy in the universe. The algorithm allows using multiple levels of exploitation and exploration of searchspace. At the explorative level, different sub-populations independently explore search space and at the exploitation level, the bestsolution of different sub-populations is considered as a super swarm and moves towards finding the best solution position found bythe super swarm. The algorithm uses Particle Swarm Optimization (PSO) algorithm’s update equation in both levels. PSO has beenproven to get stuck in the local minimum due to its ability to converge prematurely. In this work, Galactic swarm optimizationenhanced with grey wolf optimizer is proposed. The use of the entire pack of wolves for exploring the search space in the GWO hasproven to escape local minima. Thus, the GSO’s explorative phase is done with the GWO and for the exploitation phase quicklyconverging PSO is used. The proposed algorithm ability is tested by training a feedforward neural network for functionapproximation of benchmark optimization problems. The proposed GSOGWO outperformed the classical GSO in most of thefunctions