Impact of Gender on Vocabulary Acquisition Using Augmented Reality Among Iranian Seventh Grades Students

Vocabulary learning is one of the most important factors that foreign language learners encounter during the process of learning a foreign language. Vocabulary learning used to be a neglected aspect of language learning. In recent years, however, interest in this area has grown enormously. Language teachers have been keen in searching for effective approaches to enhance vocabulary learning. Vocabulary learning is more important than familiarity with the form and meaning of a word. The acquisition of vocabulary plays a central role in learning a second language. The goal of this study is to obtain results regarding the level of students’ vocabulary knowledge, prove the researcher’s assumption about their low level of knowledge of English vocabulary, and show the difference between the boys’ and girls’ knowledge. Methods/Statistical Analysis: In this area, a primary sample of 200 students, consisting of 100 male and 100 female students studying in high-school were selected randomly from among the students in Tabriz, the city of Iran. Each student took an 8-score test based on the country’s standards. Findings: According to the results of the study, the level of the students in English language vocabulary knowledge is low, and the level of the female students in English language vocabulary knowledge is better than the boys’ level. Applications/Improvements: Therefore, the study recommends that a Multimedia Technology (Augmented Reality) as a tool to improve students’ vocabulary learning in a foreign language

The Metabolic Consequences of Hepatic AMP-Kinase Phosphorylation in Rainbow Trout

AMP-activated protein kinase (AMPK), a phylogenetically conserved serine/threonine protein kinase, is proposed to function as a “fuel gauge” to monitor cellular energy status in response to nutritional environmental variations. However, in fish, few studies have addressed the metabolic consequences related to the activation of this kinase. This study demonstrates that the rainbow trout (Oncorhynchus mykiss) possesses paralogs of the three known AMPK subunits that co-diversified, that the AMPK protein is present in the liver and in isolated hepatocytes, and it does change in response to physiological (fasting-re-feeding cycle) and pharmacological (AICAR and metformin administration and incubations) manipulations. Moreover, the phosphorylation of AMPK results in the phosphorylation of acetyl-CoA carboxylase, a main downstream target of AMPK in mammals. Other findings include changes in hepatic glycogen levels and several molecular actors involved in hepatic glucose and lipid metabolism, including mRNA transcript levels for glucokinase, glucose-6-phosphatase and fatty acid synthase both in vivo and in vitro. The fact that most results presented in this study are consistent with the recognized role of AMPK as a master regulator of energy homeostasis in living organisms supports the idea that these functions are conserved in this piscine model

BirdsEyeView (BEV): graphical overviews of experimental data

<p>Abstract</p> <p>Background</p> <p>Analyzing global experimental data can be tedious and time-consuming. Thus, helping biologists see results as quickly and easily as possible can facilitate biological research, and is the purpose of the software we describe.</p> <p>Results</p> <p>We present BirdsEyeView, a software system for visualizing experimental transcriptomic data using different views that users can switch among and compare. BirdsEyeView graphically maps data to three views: Cellular Map (currently a plant cell), Pathway Tree with dynamic mapping, and Gene Ontology <url>http://www.geneontology.org</url> Biological Processes and Molecular Functions. By displaying color-coded values for transcript levels across different views, BirdsEyeView can assist users in developing hypotheses about their experiment results.</p> <p>Conclusions</p> <p>BirdsEyeView is a software system available as a Java Webstart package for visualizing transcriptomic data in the context of different biological views to assist biologists in investigating experimental results. BirdsEyeView can be obtained from <url>http://metnetdb.org/MetNet_BirdsEyeView.htm</url>.</p

A database of experimentally measured lithium solid electrolyte conductivities evaluated with machine learning

AbstractThe application of machine learning models to predict material properties is determined by the availability of high-quality data. We present an expert-curated dataset of lithium ion conductors and associated lithium ion conductivities measured by a.c. impedance spectroscopy. This dataset has 820 entries collected from 214 sources; entries contain a chemical composition, an expert-assigned structural label, and ionic conductivity at a specific temperature (from 5 to 873 °C). There are 403 unique chemical compositions with an associated ionic conductivity near room temperature (15–35 °C). The materials contained in this dataset are placed in the context of compounds reported in the Inorganic Crystal Structure Database with unsupervised machine learning and the Element Movers Distance. This dataset is used to train a CrabNet-based classifier to estimate whether a chemical composition has high or low ionic conductivity. This classifier is a practical tool to aid experimentalists in prioritizing candidates for further investigation as lithium ion conductors.</jats:p

In Vitro and In Vivo Characterization of Plant Growth Promoting Bacillus Strains Isolated from Extreme Environments of Eastern Algeria.

This report is to our knowledge the first to study plant growth promotion and biocontrol characteristics of Bacillus isolates from extreme environments of Eastern Algeria. Seven isolates of 14 (50 %) were screened for their ability to inhibit growth of some phytopathogenic fungi on PDA and some roots exudates. The bacteria identification based on 16S r-RNA and gyrase-A gene sequence analysis showed that 71 % of the screened isolates belonged to Bacillus amyloliquefaciens and the rest were closely related to B. atrophaeus and B. mojavensis. Most of them had high spore yields (22 x 108-27 x 108 spores/ml). They produced protease and cellulase cell wall-degrading enzymes while the chitinase activity was only observed in the B. atrophaeus (6SEL). A wide variety of lipopeptides homologous was detected by liquid chromatography-electrospray ionization-mass spectrometry analysis. Interestingly, some additional peaks with new masses were characterized, which may correspond to new fengycin classes. The isolates produced siderophores and indole-3- acetic acid phytohormone. The greenhouse experiment using a naturally infested soil with Sclerotonia sclerotiorum showed that the B. atrophaeus (6SEL) significantly increased the size of the chickpea plants and reduced the stem rot disease (P < 0.05). These results suggest that these isolates may be used further as bio-inoculants to improve crop systems