Cognitive Load and Its Relationship with Mental Capacity in Accordance with Their Levels at Students of the Secondary Stage in Terms of Sweller Theory

The study aimed to identify the cognitive load and its relationshipwith mental capacity in accordance their levels at the students of the secondary stage in the terms of Sweller theory. The study sample consisted of (300) male and female eleventh and twelfth grade students from the leadership schools in Amman. The researcher used the cognitive load scale and the mental capacity scale.The results showed a high level of cognitive load in male and female, a high cognitive Load on students of scientific specialization rather than literary specialization, and that the mental capacity of the study sample in general is moderate, and that the mental capacity of students of scientific specialization is high compared to the mental capacity of students of literary specialization. In addition, that the association between higher mental capacity and cognitive load was higher in males than in females, and that the relationship between the mean mental capacity of both sexes with the cognitive load was statistically significant

Drop size in a liquid pulsed sieve-plate extraction column

Peer reviewedPublisher PD

Adaptive identification of supply chain disruptions through reinforcement learning

Proactive identification and the management of disruption risks play a crucial role in the achievement of a global supply chain's aims. Given the velocity and volume by which such disruption events occur, it is impractical to expect supply chain managers to determine the occurrence of such events manually. Given the pressures facing global supply chains due to the COVID-19 crisis, it is important for supply chain managers to proactively identify disruption risks to their supply chains and manage them to either achieve the outcomes or develop plans by which resilience against them can be built. In this paper, we demonstrate how the integration of natural language processing and reinforcement learning, which are fundamental artificial intelligence methods, can be used to assist supply chain risk managers in the timely identification of such disruption events. We explain in detail our proposed approach, namely RL-SCRI and show its superiority over the current models in achieving its aim

E-Learning Readiness of Jordanian Universities

E-learning became very important to the universities success and it considered as one of the key success factors, in which it’s enhanced the competitive advantage and help in competing strongly in the market. Using Information technologies and sharing tools will add value to the educational process and by using these tools; the universities will have the power of innovation and creativity. E-learning helps in developing, managing and maintaining the students knowledge, on the other hand, it enhances the performance and learning capacity to remain innovation and competitive. This paper is measuring the readiness of the Jordanian universities for e-learning. It presents the main findings of a survey conducted to evaluate the e-learning readiness. The survey helped in analyzing three levels used for the measurement: ICT infrastructure, universities lecturers and students’ readiness, and the maturity of the external environment. Keywords: E-learning, IT infrastructure, Demand, External Environment, and HR readiness

Two Moving-Angled 1-Branes with Electric Fields in a Partially Compact Spacetime

In this article we consider two $m1$-branes at angle in the presence of the background electric fields, in a partially compact spacetime. The branes have motions along a common direction that is perpendicular to both of them. Using the boundary state formalism, we calculate their interaction amplitude. Some special cases of this interaction will be studied in detail.Comment: 10 pages, no figure, Late

The environmental benefits of investment in agricultural science and technology: an application of global spatial benefit transfer

Food security is a major current and future policy concern. The world population is projected to reach 9 billion by 2050 and continuing growth in economic output and incomes is expected to result in changing food consumption patterns. In particular the wider adoption of ‘Western’ diets will result in both higher calorie intake and greater meat consumption. Continuing climate change is expected to add further pressures to agricultural production. This paper presents the results of a global analysis funded by the TEEB study on the environmental benefits of investment in agricultural knowledge, science and technology, specifically in terms of closing the gaps between developing and developed country agricultural productivity. The results show that by easing pressures on land use change on terrestrial biomes (forests and grasslands), and the ecosystem services they provide, investment in agricultural science and technology provides environmental benefits of US$161.3bn per annum in 2050. Between 2000 and 2050 these benefits amount to US$2,964bn in addition to US$6,343bn in carbon benefits and compare to costs of US$5,68bnResearch and Development/Tech Change/Emerging Technologies,

Involvement of beta-3-Adrenergic Gene Polymorphism in Insulin Resistance in Iraqi Type 2 Diabetic Patients

A tryptophan to arginine substitution (TGG?CGG) in codon 64 (Trp 64 Arg) of ?3-adrenergic receptor is thought to be important for binding of noradrenaline and G proteins with ?3-adrenergic receptor in adipose cells. ?3-adrenergic receptor polymorphism may lead to a decrease in thermogenesis and lipolysis in adipose tissue. Therefore, an impairment of ?3-adrenergic receptor function may lead to obesity and insulin resistance. The present study was designed to estimate prevalence and association of ?3-adrenergic receptor gene T?C (Trp 64 Arg) SNP in insulin resistance type 2 diabetic patients in Iraq. To achieve this aim, 103 of type 2 diabetic patients and 57 apparently healthy control group were subjected to the study. The results of present study show that the heterozygous genotype (TC) of  ?3-adrenergic receptor gene T?C (Trp 64 Arg) SNP was significantly increased (OR=4.12, CI 95% 1.14-15.86, P < 0.05) the risk of type 2 diabetes mellitus four folds with respect to those of the wild genotype (TT). Also, the results revealed that significant increase (P < 0.05) in fasting insulin, HOMA, BMI and significant decrease (P < 0.05) in HDL-cholesterol of heterozygous genotype (TC) when compared with wild genotype (TT). Also, there are no significant differences in other clinical characteristics between wild genotype (TT) and heterozygous genotype (TC). The study concluded that ?3-adrenergic receptor gene T?C (Trp 64 Arg) SNP are associated and involved in the pathogenesis of insulin resistant type 2 diabetes mellitus. Keyword: Diabetes Mellitus, Insulin resistance, Obesity, ?3-adrenergic receptor,  Trp 64 Ar

Association of Insulin Receptor Substrate-1 Gene Polymorphism with Insulin Resistance in Type 2 Diabetes Mellitus in Iraqi Population

A glycine to arginine substitution (GGG?AGG substitutions) in codon 972   (Gly 972 Arg) is the common polymorphism of the IRS-1 gene. This polymorphism interfere with the interaction between IRS-1 and PI3-kinase. It participate in the development of insulin resistance and diabetes by impairing the ability of insulin to activate the  IRS-1/PI3-kinase/Akt signaling pathway. The present study was designed to evaluate the association of insulin receptor substrate-1 gene G?A (Gly 972 Arg) polymorphism with insulin resistance in type 2 diabetes mellitus in Iraqi population. To achieve this aim, 103 of type 2 diabetic patients and 57 apparently healthy control group were subjected to the study. The results of present study show that the heterozygous genotype (GA) of insulin receptor substrate-1 gene G?A (Gly 972 Arg) SNP was significantly increased (OR=9.14, CI 95% 1.13-75.53, P < 0.05) the risk of type 2 DM by nine folds with respect to those of wild genotype (GG). The allele frequencies of G and A were 92.93% and 7.07% for the insulin resistant type 2 diabetic patients group and 99.04% and 0.96% for the control group respectively. Also, the results revealed that no significant differences in clinical characteristics between wild genotype (GG) and heterozygous genotype (GA). The study concluded that insulin receptor substrate-1 gene G?A (Gly 972 Arg) SNP are associated and involved in the pathogenesis of  insulin resistant type 2 diabetes mellitus. Keywords: Diabetes Mellitus, Insulin resistance, IRS-1, Gly 972 Ar

ARPES studies of cuprate Fermiology: superconductivity, pseudogap, and quasiparticle dynamics

We present angle-resolved photoemission spectroscopy (ARPES) studies of the cuprate high-temperature superconductors which elucidate the relation between superconductivity and the pseudogap and highlight low-energy quasiparticle dynamics in the superconducting state. Our experiments suggest that the pseudogap and superconducting gap represent distinct states, which coexist below T$_c$. Studies on Bi-2212 demonstrate that the near-nodal and near-antinodal regions behave differently as a function of temperature and doping, implying that different orders dominate in different momentum-space regions. However, the ubiquity of sharp quasiparticles all around the Fermi surface in Bi-2212 indicates that superconductivity extends into the momentum-space region dominated by the pseudogap, revealing subtlety in this dichotomy. In Bi-2201, the temperature dependence of antinodal spectra reveals particle-hole asymmetry and anomalous spectral broadening, which may constrain the explanation for the pseudogap. Recognizing that electron-boson coupling is an important aspect of cuprate physics, we close with a discussion of the multiple 'kinks' in the nodal dispersion. Understanding these may be important to establishing which excitations are important to superconductivity.Comment: To appear in a focus issue on 'Fermiology of Cuprates' in New Journal of Physic