An integrated model for cash transfer system design problem

This paper presents an integrated model that incorporates strategic, tactical, and operational decisions for a cash transfer management system of a bank. The aim of the model is to decide on the location of cash management centers, number and routes of vehicles, and the cash inventory management policies to minimize the cost of owning and operating a cash transfer system while maintaining a pre-defined service level. Owing to the difficulty of finding optimal decisions in such integrated models, an iterative solution approach is proposed in which strategic, tactical, and operational problems are solved separately via a feedback mechanism. Numerical results show that such an approach is quite effective in reaching greatly improved solutions with just a few iterations, making it a promising approach for similar integrated models

COVID-19 Diagnosis System using SimpNet Deep Model

بعد تفشي COVID-19 ، تحول على الفور من وباء إلى جائحة. تم استخدام الصور الإشعاعية للأشعة المقطعية والأشعة السينية على نطاق واسع للكشف عن مرض COVID-19 من خلال مراقبة عتامة الأشعة تحت الحمراء في الرئتين. اكتسب التعلم العميق شعبية في تشخيص العديد من الأمراض الصحية بما في ذلك COVID-19 وانتشاره السريع يتطلب اعتماد التعلم العميق في تحديد حالات COVID-19. في هذه الدراسة ، تم اقتراح نموذج التعلم العميق ، بناءً على بعض المبادئ ، للكشف التلقائي عن COVID-19 من صور الأشعة السينية. تم اعتماد بنية SimpNet في دراستنا و تدريبها باستخدام صور الأشعة السينية. تم تقييم النموذج على كل من التصنيف الثنائي (COVID-19 و No-findings) ومهام التصنيف متعددة الفئات (COVID-19 ، No-findings ،  و  التهاب رئوي). حقق نموذجنا قيمة دقة بلغت 98.4٪ للثنائي و 93.8٪ للتصنيف متعدد الفئات. عدد معلمات نموذجنا هو 11 مليون معلمة وهي أقل من بعض الطرق الحديثة مع تحقيق نتائج أعلى.After the outbreak of COVID-19, immediately it converted from epidemic to pandemic. Radiologic images of CT and X-ray have been widely used to detect COVID-19 disease through observing infrahilar opacity in the lungs. Deep learning has gained popularity in diagnosing many health diseases including COVID-19 and its rapid spreading necessitates the adoption of deep learning in identifying COVID-19 cases. In this study, a deep learning model, based on some principles has been proposed for automatic detection of COVID-19 from X-ray images. The SimpNet architecture has been adopted in our study and trained with X-ray images. The model was evaluated on both binary (COVID-19 and No-findings) classification and multi-class (COVID-19, No-findings, and Pneumonia) classification tasks. Our model has achieved an accuracy value of 98.4% for binary and 93.8% for the multi-class classification. The number of parameters of our model is 11 Million parameters which are fewer than some state-of-the-art methods with achieving higher results

LANGUAGE LEARNING & TEACHING STRATEGIES FOR YOUNG LEARNERS

This book is especially presented for teachers or teachers to be as a reference or a concept to implement in teaching and learning process. Many teachers realize that engaged teaching and active learning are desirable. Moreover, the school curriculum of Indonesia keeps on changing, and the last one is the 2013 curriculum revision 2016 using communicative approach which claims the teachers to be more active, creative, and innovative to prepare the teaching materials to be presented to their students. Teaching encourages the students to ask questions and look for answers based on the first and the second steps of scientific approach, to apply what they have learned in order to solve the problems, to listen and interact to each other and debate ideas politely and constructively for three other steps of Scientific Approach. This is teaching students that can provide authentic materials to use in their lives. But knowing that these things are important is not the same thing as knowing how to make them work in the classroom with a crowded syllabus, short class periods and many students in a classroom. The book of LANGUAGE LEARNING & TEACHING STRATEGIES FOR YOUNG LEARNERS comes about to satisfy the need in the schools for deeper learning, life long learning that the students can use and make them not only better students but more productive members of society. It also comes about in order to teach “the small ideas,” as one teacher calls them. The “small ideas” are how to actually teach for active, creative learning and critical thinking in real classroom. The big ideas are the lofty proclamations about how important active, creative, effective, joyful learning and critical thinking which are in accordance with 2013 curriculum

An Application of pre-Trained CNN for Image Classification

Image Classification is a branch of computer vision where images are classified into categories. This is a very important topic in today’s context as large databases of images are becoming very common. Images can be classified as supervised or unsupervised techniques. This paper investigates supervised classification and evaluates performances of two classifiers as well as two feature extraction techniques. The classifiers used are Linear Support Vector Machine (SVM) and Quadratic SVM. The classifiers are trained and tested with features extracted using Bag of Words and pre-trained Convolution Neural Network (CNN), namely AlexNet. It has been observed that the classifiers are able to classify images with very high accuracy when trained with features from CNN. The image categories consisted of Binocular, Motorbikes, Watches, Airplanes, and Faces, which are taken from Caltech 265 image archive

Physical and biological characteristics of silver/ polyvinylpyrrolidone nanocomposite using pandanus atrocarpus

In the present study, synthesis and characterization of silver nanoparticle (AgNPs) and Polyvinylpyrrolidone (PVP) nanocomposite (PVP-AgNCs) and their biological applications were studied. AgNPs and PVP-AgNCs were synthesised by biological method using Pandanus atrocarpus extract (PAE) as a reducing agent. The detailed characterization of PAE-AgNPs and PVP-AgNPs was carried out using Ultraviolet�Visible (UV-Vis), Fourier Transform Infrared (FTIR), Field Emission Scanning Electron Microscope (FESEM) and X-Ray Diffraction (XRD). UV-Vis peak of PAE-AgNPs and PVP-AgNCs obtained at 432 nm and 540 nm respectively. FTIR's prominent peaks in PAE and AgNPs and PVP-AgNCs do not considerably differ from each other and are located at 3338, 2131, 1638, 1295, and 428. The prominent peak at 3338 belongs to the –OH group. FESEM confirmed the production of smallest PAE-AgNPs is of 14 nm in a spherical shape‘s range while smallest PVP�AgNCs was 44 nm. The Bragg‘s reflection values of 38°, 44°, 64°, and 77° were obtained for PAE-AgNPs and PVP-AgNCs corresponding to the set of lattice planes (111), (200), (220) and (311) at 2θ. This indicates the formation of face centred cubic (fcc) crystalline structure of the nanostructure. The main findings include the biological activities of the PAE, PAE-AgNPs PVP-AgNCs as cytotoxicity, antioxidant, anti-enzymatic, and antiurolithitaic activities. Five different concentration of sample tested (100 µg/mL - 500 µg/mL), all the results were dose dependant. For cytotoxicity, as the concentration increases to 500 µg/mL, the mortality was about 16.7 % for PAE-AgNPs, while 23.3 % for PVP-AgNCs. The ABTS radical scavenging activity (% I) of PAE was recorded at 58.20 %, PAE�AgNPs at 64.20 %, and PVP/AgNC at 76.00 % at concentration of 500 µg/mL. The absorbance values of PAE, PAE-AgNPs, and PVP-AgNC at 16 min in antiurolithiatic assay was recorded at 0.299, 0.291 and 0.299, respectively, which are significantly different (p < 0.05). Percent inhibition of anti-enzymatic activity of PAE, PAE-AgNPs and PVP-AgNC was 42.30%, 48.70%, and 54.40%, respectively. From our findings it is concluded that AgNPs, and PVP-AgNCs from Pandanus atrocarpus is safe and eco-friendly, and hence needs to be studied in viv

The Effect of Teaching by the Inductive Model on Achievement in the Arabic Language Subject for Tenth Grade Students in the Southern Mazar District

The aim of the research is to identify the effect of teaching using the inductive model on achievement in the Arabic language subject for tenth grade students in the Southern Mazar District. The research relied on the quasi-experimental approach with an experimental design based on the experimental and control groups, the experimental group on which the inductive model was applied and consisted of (28) students, and the control group that studied in the usual way and consisted of (27) students, and the post-test for achievement was applied to my groups The research results showed that the average scores of the experimental group in the achievement test were higher than the average scores of the control group on the test, and that the difference was statistically significant and in favor of the experimental group. Which indicates that there is a positive effect of using the inductive model on the academic achievement in Arabic grammar for tenth grade students. Based on the results of the study, the researcher recommended emphasizing that Arabic language teachers use the inductive model in teaching Arabic grammar, due to the positive impact on students' achievement. And the necessity of employing the inductive model in the Arabic language curricula, and building activities that students pass through the stages of the inductive model, which increases their academic achievement. Keywords: inductive model, achievement, tenth grade. DOI: 10.7176/JEP/13-31-01 Publication date: November 30th 202

A Laboratory Study of Strong and Weak Sandstones

The laboratory evaluation of four sandstones from three projects, Shwezaye H.E. Project, Myanmar, Ujh H.E. Project, J&K, India (two variants) and Ken- Betwa Link Project, M.P., India, is presented here. The study leads to three broad inferences: one, there could be very large variation between two sandstones; e.g., here, sandstone from Ken-Betwa, vis-à-vis other three (comparatively poor) sandstones, is superior in all respects (except grain density). Two, the three poor sandstones differ in respect of some – not all – properties and parameters. Three, none of the three poor sandstones is better than the other two in respect of all properties and parameters. In respect of individual properties, the grain density of all four sandstones is similar, though their bulk densities, apparent porosity and slake durability index show great variation. The weak and strong sandstones show qualitative difference in their uniaxial compressive strength (UCS) and wave velocity (compression and shear, both); and the two are directly proportional. The study clearly demonstrates that there is no one-to-one correspondence between any two properties and parameters, but there is a diffused and/ or qualitative relationship between different sandstones, or certain properties and parameters of a particular variant