Reviewerly/exHarmony huggingface dataset:
Magnetic and spectrometric studies of Al-Gor area, Southwestern Sinai, Egypt

Al-Gor area is a part of Southwestern Sinai of Egypt. It is considered as one of the most promising areas for mineralization in Egypt, being rich in many mineral deposits of: manganese, iron, copper, zinc, lead, cobalt, nickel, silver, gibbsite, and uranium. Besides, some industrial ore minerals such as kaolin and glass sand,… etc. are also found in this area. The area was studied by Gama-ray spectrometry to trace the radioactive anomalies, their concentrations and their relationship to the existing rocks, and by magnetic survey to study the relationship of radioactive anomalies and their trends with the trends of geological structures. The gamma-ray spectrometric maps show different levels over the surveyed area, which reflect contrasting radioelement contents for the exposed various rock types. The highest radiospectrometric levels are located in the northwest southeast direction and some scattered parts all over the study area. They are mainly associated with Um-Bogma Formation, bearing gibbsite. The study area possesses radiospectrometric ranging between 0.6 and 110.9 Ur as a total-count, 0.1 to 1.8 % for K, 0.1 to 99 ppm for eU and 0.1 to 23 ppm for eTh. The qualitative analyses of magnetic data show the existences of a number of different magnetic anomalies, with different amplitudes and frequencies as well as trends. From the application of spectral analyses of magnetic data, the regional and residual depths of magnetic anomalies can be computed. The first depth represents the regional (deep-seated) anomalies, at about 75 m and the residual (shallow-seated) anomalies, at about 20 m. The trends of the structures as derived from the spectrometric and ratio maps correspond to those inferred from the residual-component magnetic map, which reflects the effect of structures on the concentration of radioactive elements and, consequently mineralization.
Self- Checkout Service with RFID Technology in Supermarket

The self-checkout service system has appeared and has gradually become popular all over the world nowadays.The main purpose of the self-checkout service system is to save staff costs and speed up the customer's shopping process.However, according to a number of studies, the self-checkout service system is causing an increase in thefts, and this causes huge losses for businesses.Therefore, this research aims to implement radio frequency identification (RFID) technology to selfcheckout service systems to solve the problem of increased thefts caused by the implementation of self-checkout services in supermarket.For this study, it was decided to use systematic sampling and submit a survey to every fifth customer who left the supermarket until the survey results of 100 customers were collected.Using this latest RFID technology in the selfcheckout system can make the supermarket without suffering additional losses.This RFID technology is implemented with the help of RFID tags and RFID readers, which are similar to the functions of general bar codes and bar code scanners on the market, but they are safer to avoid theft.In addition, this article also studies how to use RFID to help reduce the waiting time for checkout, which can scan the entire area of goods in a few seconds, which is suitable for inventory, checkout and simplifying the process.
A Puzzle-Based Data Sharing Approach with Cheating Prevention Using QR Code

The information technique has developed rapidly. The technique of QR codes is widely applied in our daily life, and the mechanism is suitable to share data. A QR code uses symmetric encryption to store and retrieve data efficiently. However, the security issues of QR codes are seldom discussed by the wider community. Moreover, if the sender wishes only the authorized participant to attain the private data which are shared, the data must be encrypted. Furthermore, we do not know who should be censured when problems arise. In view of this, to maintain the integrity and the confidentiality of information security, this paper proposed a new puzzle-based data sharing scheme to share the private information safely. Firstly, we generated the digital signature of the information, then applied the random grids algorithm to obtain the shares. Then, we disarrayed the shares which contain the information and the digital signature with a puzzle-based encoding method. Afterwards, we concealed them into the cover QR codes. With the QR code mechanism of error correction, the marked QR code remain meaningful. Finally, we could send marked QR codes via transmission. The receiver could use XOR operation to obtain the private information after solving the puzzles and verify whether it was tampered with by the digital signature. The proposed system can recover the lossless data and protect them from being divulged. To deal with the potential hazard of transmission in a public environment, there are more and more studies on data hiding and image authentication.
The Empowerment of Women as a Source of Economic and Social Development in Morocco: Exploratory Study of the Economic Status of Moroccan Women Based on the Third Billion Index

Today, the relationship between women's economic empowerment and the level of economic and social growth is well established. In fact, the majority of studies that have been carried out in the context of female poverty and gender inequality have revealed the existence of a positive and very strong correlation between the level of empowerment of women and economic growth. These studies most often use statistical tools to analyze this relationship. Among these studies, we find the one conducted in 2012 by the American research firm Booz and Company and on the Third Billion Index. The objective of our work is to use this tool to understand the nature of this relationship in Morocco.
GANs-based PIV resolution enhancement without the need of high-resolution input

A data-driven approach to reconstruct high-resolution flow fields is presented. The method is based on exploiting the recent advances of SRGANs (Super-Resolution Generative Adversarial Networks) to enhance the resolution of Particle Image Velocimetry (PIV). The proposed approach exploits the availability of incomplete projections on high-resolution fields using the same set of images processed by standard PIV. Such incomplete projection is made available by sparse particle-based measurements such as super-resolution particle tracking velocimetry. Consequently, in contrast to other works, the method does not need a dual set of low/high-resolution images, and can be applied directly on a single set of raw images for training and estimation. This data-enhanced particle approach is assessed employing two datasets generated from direct numerical simulations: a fluidic pinball and a turbulent channel flow. The results prove that this data-driven method is able to enhance the resolution of PIV measurements even in complex flows without the need of a separate high-resolution experiment for training.
Electronic Electronic Customer Relationship Management Menggunakan Framework Codeigniter dengan Metode Waterfall Berbasis Website

E-commerce or online stores appear to provide convenience for the public in the field of information technology, Budi Luhur is a shop in the field of selling household needs such as cabinets, plate racks, spring beds, sofas, and electronics. But the problem is that until now, how to market their products still using manuals such as brochures, posters, and orders that are still recorded manually with books, so that the store requires costs that are sometimes not small in number to print brochures which will later be used to convey information to customers manually. To overcome these problems, it is necessary to create a system at the Budi Luhur store that can make it easier for customers and shop owners to make transactions. The design of Budi Luhur's E-Commerce System uses a Software development methodology, namely the waterfall method. This method is used by researchers to develop Software systems by having a Software life flow sequentially starting from analysis, design, coding and testing. To design the system using E-CRM (Electronic Electronic Customer Relationship Management), CodeIgniter Framework, PHP programming language and MySQL database.
Topical issues of handwriting analysis of signatures performed with a significant gap in time

At the present stage, the objects of forensic handwriting analysis are signatures performed with a significant gap in time. In this case, such objects are both signatures in studied documents, made at different intervals and studied signatures performed in relation to the comparative material with a time gap.&#x0D; Establishing stability of signature signs depending on performing time is possible taking into account characteristic signs of the stages of the signature handwriting formation. Since the factors causing changes in signatures are a lengthy process of forming the signature skill and the amount of signature practice (that is how often a person has to sign). While research on signatures that are at the formation stage, different signs, established together with significant coinciding signs canindicate a further improvement of movements. In personsof middle age (30-60 years old) who have a formed signature handwriting, significant changes do not occur over time until they stop practicing writing. While research on elderly people signatures along with the established coinciding signs, differing ones appear: signs of ataxia, decreased coordination of movements, low coherence of written signs, etc. These signs indicate degradation of movements due to physiological changes in the body in old age and a decrease in writing practice including practice of performing signature.&#x0D; Considering the above, research on signatures performed with a significant time gap is a rather complicated process that often causes difficulties when forensic expert evaluates revealed signs. Within the framework of this research paper, the authors focused on some topical issues existing in modern forensic expert practice of handwriting analyses of signatures performed with a significant time gap.&#x0D; The state of development of modern practical handwriting studies requires improvement of methodological approaches to this type of research. Currently, forensic experts are conducting R&amp;D on the topic: “Improving research methods of signatures performed with a significant gap in time” which relevance is due to the need to improve forensic expert algorithm while handwriting research on signatures performed with a significant gap in time, as well as requirements of modern scientific standards.
LITERACY IN THE MIDST OF THE PANDEMIC: HOW ARE STUDENTS' LITERACY SKILLS?

During the pandemic, learning at elementary schools encountered many obstacles, including those related to literacy. One indicator of basic literacy skills is that having reading fluency and comprehension. During the pandemic, how are students' basic literacy skills? This study aimed to determine the profile of students' basic literacy skills during the pandemic. This study was conducted at one of the public elementary schools in Kabupaten Lombok Tengah. This study was survey research that administered a test as the instrument. The research subjects were 110 students who were selected saturated sampling technique. Data were analyzed using descriptive statistics. The survey results showed that 7% of the students were at the beginner level is 7%, while 10% of students were at the letter level. Then, 11% of the students were at the word level; 12% of them were at the paragraph level; 12% of students were at story one level as much as 12%, and 48% of students were at story level. Most of the students were not fluent in reading and could not understand the reading content. Students who were fluent in reading and able to understand the text were less than half of the population or only 48% of 110 students. These data indicated a decline in students' basic literacy skills during learning in the pandemic era.
Risk Assessment Methods for Cybersecurity in Nuclear Facilities: Compliance to Regulatory Requirements

As strategic infrastructures, nuclear facilities are considered attractive targets for attackers to commit their malicious intention.At the same time, for efficiency, those infrastructures are increasingly implemented, equipped with, and managed by digitally computerized systems.Attackers, therefore, try to realign their attack scenarios through such cyber systems.It is crucial to understand various existing risk assessment methods for cybersecurity in nuclear facilities to prevent such attacks.Risk assessment is designed to study the nature of the originated attack threats and the consequences implied.This paper studies a series of risk assessment methods implemented for security related to cybersecurity of strategic infrastructures, including nuclear facilities.Extended from cybersecurity, the required concepts in nuclear security cover defense-in-depth, synergy of safety and security, and probabilistic safety/risk assessment.Selecting cybersecurity risk assessment methods should integrate these three essential concepts in their evaluation.This paper highlights the suitable and appropriate risk assessment methods that meet security requirements in the nuclear industry as specified in the national and international regulations.
WHO-Hand Hygiene Gesture Classification System

The recent ongoing coronavirus pandemic has highlighted the importance of hand hygiene practices in our daily lives, with governments and health authorities around the world promoting good hand hygiene practices.More than 1 million cases of hospital-acquired infections are reported in Europe annually.Hand hygiene compliance may reduce the risk of cross-transmission thereby reducing the number of infections as well as health-care expenditures.In this paper, WHO hand hygiene gestures were recorded and analyzed with the construction of an aluminum frame, placed at the laboratory's sink.The hand hygiene gestures were recorded for thirty participants after conducting a training session about hand hygiene gestures demonstration.The video recordings were converted into image files and were organized in six different hand hygiene classes.The Resnet-50 framework was selected for the classification of multi-class hand hygiene stages.The model was trained with the first set of classes (Fingers Interlaced, P2PFingers Interlaced, and Rotational Rub) for 25 epochs.An accuracy of ~44% was achieved for the first set of experiments with loss score >1.5 in validation set.The training steps for the second set of classes (Rub hands palm to palm, Fingers Interlocked, Thumb Rub) were 50 epochs.An accuracy of ~72% was achieved for the second set with the loss score < 0.8 for the validation set.In this work, a preliminary analysis of robust hand hygiene dataset with transfer learning was carried out with a future aim of deploying a hand hygiene prediction system for healthcare workers in real-time.
Modeling an Epidemic - Multiagent Approach Based on an Extended SIR Model

This paper highlights the use of software agents in simulating real world phenomena. A brief overview of different approaches and tools for developing software agents and simulating real world phenomena are given. One of the more recent tools was utilized in this paper to develop a model of disease spread in a population of agents. Multiple factors affect the longevity of a pathogen in a given population, one of which is the deadliness of the disease whose impact is shown in this paper.
Challenge-Response Based Data Integrity Verification (DIV) and Proof of Ownership (PoW) Protocol for Cloud Data

Cloud Technology enables the users (Smartphone users, Enterprises, individual users) to access on-demand services, and the storage service is the most service used by them to outsource their data and also expect safety of data from cloud vendors w.r.t. confidentiality, integrity and access control. Nowadays, the massive amount data is being generated and outsourced from multiple sources to cloud, this data growth introduces many security issues and challenges. Because data owner (DO) loose physical control on data once it is outsourced to cloud and is fully controlled and managed by cloud service provider (CSP). There is a possibility of data breaching by inner or outer adversaries where employees of CSP can exploit the same or help the intruder to gain access to the sensitive data. It is essential to provide strong cryptography mechanisms to protect the data from unauthorized modification and prevent the unauthorized access by inner and outer adversaries. Hence, this paper presents a challenge-response hybrid-based protocol for data integrity verification (DIV) and Proof of Ownership (PoW) to protect the data from unauthorized users and prevent the data from unauthorized access. This paper also describes the security analysis on proposed approach and results are the proof of concept.
EVALUATION OF THE ENGLISH LANGUAGE TEACHING PROGRAM OF THE FACULTY OF EDUCATION, UNIVERSITY OF BENGHAZI USING THE PEACOCK MODEL: TOWARDS QUALITY EDUCATION

&lt;p&gt;The English Language Teaching (ELT) is a theory and practice of English teaching and learning for the welfare of the non-native students whose language is not English. It is an English language degree in exploring the application of the language development and current practice in teaching and testing. The study aims to identify the aspects of the English Language Teaching (ELT) and how do the aspects of the English Language Teaching (ELT) program should be maintained and improved based on the Peacock’s Model and Evaluation. The study employs the quantitative and qualitative descriptive research design and method. The study comprised seventeen (17) alumni of the Faculty of Education, English Department, University of Benghazi, Libya as these participants had experienced the evaluation of the English Language Teaching program to be maintained and to be improved in the Faculty of Education. Purposive sampling is utilized in the study because it is non-probability which is known as judgmental, subjective, and selective sampling. Results show that participants are encouraged to be a reflective teacher when they start teaching and taught to evaluate themselves as a teacher which is vital and important in ELT profession in the Faculty of Education and in English as a Foreign Language, show to promote flexibility in using different teaching practices in different situation and classroom management skills in terms of participation, show that there is adequate training and teaching skills and balances of teacher-centered and student-centered learning on its courses in ELT in terms of experimentation, show to avoid overlapping information between different courses and are ready to teach ELT of the program in the university in terms of application, and show that participants are encouraged to reflect on their past experiences as a language learners and are encouraged to be a reflective teacher in their teaching process in terms of cooperation.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0863/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
Beyond MT metrics in specialised translation: Automated and manual evaluation of machine translation output for freelance translators and small LSPs in the context of EU documents

This paper discusses simplified methods of translation evaluation in two seemingly disparate areas: machine translation (MT) technology and translation for EU institutions. It provides a brief overview of methods for evaluating MT output and proposes simplified solutions for small LSPs and freelancers dealing with specialised translation of this kind. After discussing the context of the study and the process of machine translation, an analysis of fragments of the selected specialist text (an EU regulation) is carried out. The official English and Polish versions of this document provide the basis for a comparative evaluation of raw machine translation output obtained with selected commercially available (paid) neural machine translation engines (NMT). Quantitative analysis, including the Damerau-Levenshstein edit distance parameters and the number of erroneous segments in the text, combined with a manual qualitative analysis of errors and terminology can be a serviceable method for small LSPs and freelance translators to evaluate the usefulness of neural machine translation engines.
DCT based Fusion of Variable Exposure Images for HDRI

Combining images with different exposure settings are of prime importance in the field of computational photography. Both transform domain approach and filtering based approaches are possible for fusing multiple exposure images, to obtain the well-exposed image. We propose a Discrete Cosine Trans- form (DCT-based) approach for fusing multiple exposure images. The input image stack is processed in the transform domain by an averaging operation and the inverse transform is performed on the averaged image obtained to generate the fusion of multiple exposure image. The experimental observation leads us to the conjecture that the obtained DCT coefficients are indicators of parameters to measure well-exposedness, contrast and saturation as specified in the traditional exposure fusion based approach and the averaging performed indicates equal weights assigned to the DCT coefficients in this non- parametric and non pyramidal approach to fuse the multiple exposure stack.
Analysis of Teaching Reform of Harmony Teaching in Chinese Normal Colleges and Universities

"Harmony" course plays a very important role in the talent training system of Normal universities and colleges in China. In order to continuously improve the teaching quality of the Harmony Course, many predecessors and colleagues have made great efforts. This paper briefly analyzes the reform of harmony teaching in the past 40 years, both from the existing achievements and the existing problems.
Analysis of Various Techniques for Solving the Problem of Big Data Classification

The purpose of this study is to assess the effectiveness of various algorithms for big data classification, namely, partial least squares discriminant analysis (PLS-DA), NaiveBayes (NBC) and k-Nearest Neighbor (k-NN) based on the Hadoop MapReduce approach. The effectiveness of the approaches is compared to the classification of big data sets of average shot lengths (CSV). It has been shown that in accordance with the data set size, the PLS-DA classification accuracy increases and reaches 82%, and the computation time goes up to 45 seconds. The analysis of various classifiers showed that high accuracy rates for the PLS-DA classifier are ensured by a high percentage of positive and negative cases properly classified, and lower accuracy for KNN and NaiveBayes is justified by a high percentage of false-positive and false-negative indicators. It is concluded that the optimal classifier is the PLS-DA method, which allows one to classify a large amount data with high accuracy in a short time.
Talking Gloves: Sign Language to Speech Conversion for Deaf and Mute Person

Communication is the act of sharing information to produce greater understanding. It is both, an art and science. Like us humans, animals also have its own way of conveying information. We have evolved from one language and have been able to converse in various languages. IoT based Smart Gloves is an innovative system which will help the dumb interact with the normal people. This system uses a set of sensors that are attached to each finger on both hands. Each motion made and the bending of the fingers has its own separate meaning. The gloves read the motions and the orientation of the sensors. The basic task of this work is to develop a portable, reliable and an inexpensive prototype system.