Reviewerly/exHarmony huggingface dataset:
Development Of Information Processing Skills On Mathematics Lessons At Primary School

The article describes the possibility of development of certain general learning actions that characterize the information literacy of junior students. It considers the actions: to search for data in a mathematical task; provide information in a predetermined or independently selected form (a text, a table, a picture, etc.); interpret the information obtained when solving the task as a response, a conclusion, or an explanation. The article also presents some results of TIMSS tests of 2011 and 2015, that allowed to highlight difficulties of Russian schoolchildren in performing mathematical tasks because of lacking skills to work with information. It describes three pedagogical conditions of the successful development of younger students ability to work with information using means of the subject "Mathematics" in the primary school: the designation of common mathematical and information literacy skills and actions; the help to a pedagogue in the development of the said skills in the study of different sections of the course; the use of the group work to motivate and maximize the involvement of children in the learning activities. Three stages of the organization of work are proposed to prevent and eliminate difficulties the students face while working with information. The first stage provides for a team work on the search of all the data given by a mathematical task; the second stage is about making sets of exercises by students that are similar to the proposed assignment; and the third one includes the review of the solution and an explanation of mistakes.
Geochemistry and Mineralization of Some Selected Pegmatite Deposits in Panda North Central, Nigeria

Pegmatite constitutes an important lithologic unit in the Precambrian Basement Complex of Panda north central Nigeria. The primary aim of this study is to present a geochemical data of various rock types in the area especially pegmatite in order to determine their geochemical classification and mineralization potential of some selected pegmatite deposits in the area. Geochemical analysis reveals that the pegmatite samples have high SiO2 content; 73.8-94.8 wt%, low Na2O/K2O ratio suggesting they are strongly peralkaline and peraluminous, indicating that the pegmatite may have formed from mixed plutonic sources. The discrimination diagram of TiO2 versus SiO2 shows that the samples plotted on both igneous and sedimentary field, but majorly on the igneous field which is an implication that substantial material may have been generated from igneous sources. Also the plotting of the pegmatite samples in both the tholeiitic and calc-alkaline fields shows that the magma from which the rock was formed was not totally restricted in occurrence only to subduction related environment but also from the oceanic crust of calc-alkaline environments. This is further confirmed by discrimination diagrams plot of TiO2-K2O-P2O which indicates that substantial samples plotted fall within the continental crust. High potash content alkalies with relative Fe-enrichment and silica suggest the plutonic generation of magma and the development of the rocks in both the oceanic and continental crust. Major elements analysis of both the granitic rock aplite and biotite gneiss shows moderately high silica values. These values reflect the geochemical characteristic of crystalline rocks. The pegmatite of the study area exhibits low contents of Nb, Ta, Ga, Rb and Sn which are the major mineralization indices for pegmatite bodies. In classifying the pegmatites, rare metal indicative elements were used to discriminate the barren ones from the mineralized. A plot of Ta-Ga reveals that all the samples plotted are below the boundary of mineralization line, suggesting all the pegmatite samples in the study area to be barren in term of rare earth metals and can be compared to other pegmatite bodies in Nigeria and around the world.
View-Independent Discriminant Analysis with Gradient Self-Similarities for Action Recognition under Multiple Views

In Multi-View Human Action Recognition, the actions are not of single view and hence to achieve an effective recognition performance under multi-view actions, there is a need of multi-view subclass discrimination analysis. Based on this inspiration, this paper proposed a novel action recognition framework based on the Subclass Discriminant Analysis (SDA), an extended version of Linear Discriminant Analysis (LDA). Further, a new key frames selection method is proposed based on Self-Similarity Matrix (SSM), called as Gradient SSM (GSSM). Once the key frames are selected, a composite feature set is extracted through three different set filters such as Gaussian Filter, Gabor filter and Wavelet Filter. Next, the SDA obtain an optimal feature subspace for every action under multiple Views. Finally the SVM algorithm classifies the action. The proposed framework is systematically evaluated on IXMAS dataset and NIXMAS dataset. Experimental results enumerate that our method outperforms the conventional techniques in terms of recognition accuracy.
Image Denoising in Spatial and Transform Domains

Image denoising is an inseparable pre-processing step of many image processing algorithms. Two mostly used image denoising algorithms are Nonlocal Means (NLM) and Block Matching and 3D Transform Domain Collaborative Filtering (BM3D). While BM3D outperforms NLM on variety of natural images, NLM is usually preferred when the algorithm complexity is an issue. In this thesis, we suggest modified version of these two methods that improve the performance of the original approaches. The conventional NLM uses weighted version of all patches in a search neighbourhood to denoise the center patch. However, it can include some dissimilar patches. Our first contribution, denoted by Similarity Validation Based Nonlocal Means (NLM-SVB), eliminates some of those unnecessary dissimilar patches in order to improve the performance of the algorithm. We propose a hard thresholding pre-processing step based on the exact distribution of distances of similar patches. Consequently, our method eliminates about 60% of dissimilar patches and improves NLM in terms of Peak Signal to Noise Ratio (PSNR) and Stracuteral Similarity Index Measure (SSIM). Our second contribution, denoted by Probabilistic Weighting BM3D (PW-BM3D), is the result of our thorough study of BM3D. BM3D consists of two main steps. One is finding a basic estimate of the noiseless image by hard thresholding coefficients. The second one is using this estimate to perform wiener filtering. In both steps the weighting scheme in the aggregation process plays an important role. The current weighting process depends on the variance of retrieved coefficients after denoising which results in a biased weighting. In PW-BM3D, we propose a novel probabilistic weighting scheme which is a function of the probability of similarity of noiseless patches in each 3D group. The results show improvement over BM3D in terms of PSNR for an average of about 0.2dB.
NLP-based Sign Gesture Identification for Disabled People

There are many methods for identifying signs, each of which generates a word for each one. It focuses on converting sign language into an appropriate English sentence. NLP techniques are also used in addition to sign recognition. The input is a framed and split video of sign language. This booklet teaches deaf and mute people sign language. It's tough for non-blind persons to engage with blind people due to communication difficulties. To address this issue, the article suggests and describes an effective method. Language technology methods such as POS tagging and the LALR parser are used to convert identified sign words into English phrases. A number of applications are currently on the industry that allow blind people to interact with the world. Combining technology will not be able to address the problem of mobile sign language translation in daily activities. A video interpreter can assist deaf or hearing-impaired people in a variety of situations. People with hearing impairments will be able to learn sign language and have films translated into sign language as a consequence of this research. The present work may be used as a communication interface for both speech-impaired and non-speech-impaired individuals. It will assist bridge the communication gap between speechimpaired people and the rest of the population by capturing and analyzing signals, as well as recognizing and displaying output in the form of comprehensible phrases.
Analisis Persepsi dan Harapan Mahasiswa Terhadap Implementasi SKPI dengan Sistem Kredit Poin di Fakultas Ekonomi Universitas Negeri Padang

This study aims to explain how the socialization and implementation of filling the SKPI at FE UNP. Can be seen from the four indicators filling SKPI namely 1) academic activities 2) student activities 3) compulsory activities and 4) optional activities in terms of the perceptions and expectations of FE UNP students totaling 510 people. This type of research is a descriptive study with a survey approach that uses primary data as research data and was obtained from a questionnaire filled out by FE 2015 UNP students. The sample of this study was 84 students. Sampling with Proportional random sampling. The data analysis technique used is descriptive analysis and gap analysis (gap / discrepancy between perception and expectations) using a Cartesian diagram. The analysis shows that the four indicators filling SKPI with credit points in the category are quite effective in terms of students' perceptions and expectations. The results of the analysis with the Importance performance matrix and Cartesian diagram of all indicators in the student satisfaction index table show that students perceive all indicators lower than expected. All four indicators need to be improved. The results showed that the implementation of SKPI filling with the credit system at FE UNP was quite effective by students. While the expectations of the Faculty of Economics students were in the high category. Therefore, it is recommended to the Faculty Leaders to conduct a review or to socialize the application of the SKPI with a credit system on indicators of student activities and choices. It is expected that the Faculty Leaders to improve the implementation of SKPI filling at the Faculty of Economics, State University of Padang in terms of 1) Socialization of filling SKPI with credit points systematically, comprehensively and continuously 2) Developing student activities based on soft skills, as a means of developing student character 3) updating Circular Letters and Student Activity Handbook 2015. Students are expected to obey the rules of Circular and Guidebook and participate in developing their potential in non-academic activities that support academic achievement for added value and readiness of students to enter the workforce. Keyword: SKPI, kredit poin, soft skills, kemahasiswaan.
Improving students' speaking skill through storytelling at the tenth grade of SMA Al-Kautsar Bandarlampung

The objectives of this research were to find out whether there is an improvement of the students’ skill in speaking English after being taught of storytelling technique and to find out the students’ perception toward the implementation of storytelling technique. The approach of the research was quantitative. The subjects were 30 students of class X IPS 2 at SMA Al-Kautsar Bandar Lampung in 2019/2020 academic year. The students’ speaking scores were compared between the pre-test and the post-test by using Paired Sample T-test with the significant level 0,000. The students’ perception toward the implementation of storytelling technique was 0.754. The result of the research showed that there was an improvement of the students’ speaking skill from the pre-test (56.73) to the post-test (68.25). Furthermore, the result of questionnaires showed that most students gave positive perception toward the implementation of storytelling technique in improving students’ speaking skill. This suggests that storytelling technique can be used as a strategy to improve the students’ speaking skill. Keywords: storytelling technique, speaking skill, students’ perception.
Review on methods of imrpoving information security posture of the company by increasing end user awareness

Employees can potentially expose their organizations to huge amount of cyber risk. This may happen through falling for phishing attacks, careless handling of sensitive data, or poor password management, many data breaches are directly or indirectly caused by user awareness issues. To tackle this, mature companies have implemented security awareness program initiatives. However, without fostering feelings of responsibility and accountability for cybersecurity among employees, these programs will not necessarily make an organization any safer or less vulnerable. This article provides general review on different ways of establishing robust security culture within companies and building effective security programs. The report also discusses current approaches and challenges of implementing information security awareness programs.
Design and Implementation of (72,64) Extended Multibit SEC-DAEC Codes in FPGA

Single error correction and Double-adjacent error correction (SEC-DAEC) codes speaks to a kind of error correction codes (ECCs) equipped for altering single and double-adjacent errors. These codes are important in applications where various adjacent errors may occur, for instance, space. ECC encoders and decoders have an even structure that makes it less demanding to place them into field-programmable gate arrays (FPGAs). This proposes techniques to develop the decoder of SEC-DAEC codes when executed in a FPGA, falling the advantage use when differentiated and the conventionalist use. This paper grows the bits and triple error cure in like manner achieved for that bits nearby SEC-DAEC codes.
Team planning under an electricity failure for a GSM operator

OzBase stations are very important for all GSM operators.Efficient base stations prevent income loss while bringing prestige to the company.This study deals with the problem of transportation planning of portable generators during electricity failure for a leading Turkish GSM operator.There are often electricity failures in a particular area of Mersin which cause not only customer complaints but also income loss for the company.After an electricity failure, a battery steps in for that station.However, the lifetime of battery is limited and sometimes not enough during the failure.In that case, a fixed generator could step in to give service properly.Unfortunately, because of the high cost of fixed generators, not all base stations have a fixed generator.Therefore, the company tries to interfere this problem by using limited number of portable generators.Field operation teams transport and set up these portable generators to the sites with electricity failure before the battery dies.The problem is to schedule the transportation of portable generators to the base stations with electricity failure.In this study, composite dispatching rule, one of the scheduling algorithms, is used to solve this planning problem effectively.An Excel based decision support system has been developed for field operation team.Whenever a failure occurs, after inputting necessary information to the Excel, transportation schedule for each team could be easily obtained by the company experts.
Blue-Book Marks Recognition System

The Blue-Book Marks Recognition System recognizes the marks obtained by the respective students in their Internal Assessment. The average marks are calculated and displayed. This system solves the real time problem where the faculty should enter the obtained marks and upload it into VTU database, which will be tedious one. The proposed system is implemented by taking some of the sample images, convert it into binary image and resize it. The region of interest is obtained from the resized image and the resulting image is then processed to box identification and box extraction. The digits are extracted from those boxes and are subsequently recognized. The recognized digits are displayed, and the average is calculated and displayed.
Access Control Based on Different User Privileges in Social Media

The emergence of social media lead to people around the world is widely using it. There are varieties of applications under this category for diverse purposes. Day by day, the security concerns related to this area is increasing since it is a medium which connect people. At present, the single access policy is present. That is whether a user can access the media content or not. Hence multi access policy can provide more user satisfaction. On the other hand video and image can be encoded into different qualities. Ciphertext Policy Attribute-Based Encryption is used for encrypting keys used in symmetric encryption. Here introducing Linear Secret Sharing Scheme (LSSS) to the scalable social media stream security. The LSSS mechanism is adopted to increase the expressiveness of the monotone access structure. By utilizing an LSS Scheme the access structure becomes more protective. This algorithm is very useful in practice as a ciphertext policy can now be intuitively expressed using a monotone Boolean formula, which has good usability, and the corresponding LSSS for an actual CP-ABE construction can then be generated accordingly using this algorithm.
Exploration Of Contemporary Poetry In The Digital Age Using Rupi Kaur As a Case Study

In the digital age, technology and digital media shapes virtually every aspect of our lives. Poetry, which has seen a surprising revival in recent years, is no exception. One of the most popular contemporary poets today is Rupi Kaur, made famous for her verse posted on the social media platform Instagram. This MRP seeks to answer the following research questions: 1) In what ways has the digital age effected contemporary poetry? 2) What role has digital media played in shaping the success and formal elements of Rupi Kaur’s body of work? This MRP begins by offering a brief history of poetry’s relationship with media and an account of how poetry is produced and consumed in the digital age. The core of the MRP is a case study of contemporary Insta-poet Rupi Kaur. Through qualitative visual and textual analysis, the case study considers: 1) Kaur’s poetry, 2) her Instagram content, 3) her readership, and 4) the criticisms of her work. As to the discussion, the analysis of the four categories reveals that Kaur’s rise to Instagram fame is due to three factors: 1) Kaur’s use of social media, 2) her readership’s values, and 3) the publisher’s motives. To conclude, this MRP offers some suggestions for future research, including identifying poets suitable for additional case studies.
RYBACHY SITE AS AN OBJECT FOR ADDITIONAL STUDY OF GOLD-BEARING WEATHERING CRUSTS (SIKHOTE-ALIN)

The paper deals with the problem of assessing the gold content of pre-Quaternary weathering crusts, which are widespread in the foothills of the doming-block geomorphological structures of the Amur Region, Khabarovsk and Primorsky Territories, by framing large and medium-sized Cenozoic depressions and depressions. For a more detailed mining and geological study and assessment of the gold content of the weathering crusts, we recommended the Rybachy site as one of these objects (not fully studied), and the entire Mukhenskaya area as a promising one.
QML Techniques

In our exploration of various quantum algorithms and platforms, we have experienced the interesting point that the quantum computer is probabilistic, meaning that it can return multiple answers. Some of these might be the answer that you are looking for, and some might not. At first, this sounds like a bad thing, as a computer that returns a different answer when you ask it the same question does not breed confidence! However, in a quantum computer, returning multiple answers can give important information about the confidence level of the computer.
Sentiment of App with Word Vectors

Vector representations for language have been shown to be useful in a number of Natural Language Processing tasks. In this paper, we aim to investigate the effectiveness of word vector representations for the problem of Sentiment Analysis. In particular, we target three sub-tasks namely sentiment words extraction, polarity of sentiment words detection, and text sentiment prediction. We investigate the effectiveness of vector representations over different text data and evaluate the quality of domain-dependent vectors. Vector representations has been used to compute various vector-based features and conduct systematically experiments to demonstrate their effectiveness. Using simple vector based features can achieve better results for text sentiment analysis of APP.
Modeling The Framework for Evaluating the Non-Functional Requirements Affecting Application Efficacy in Cloud Computing Domain

Predicting application performance concerning the parameters such as processor, network, memory, and disk needs to be analyzed and the model is to be built up for various non-functional requirements in cloud computing. The NFR include availability, portability, security, reliability, etc. Cloud computing provides a way for provisioning of resources in one of the three ways. The first could be cloud infrastructure, the second could be provider infrastructure or the third could be a combination of both. Specifying NFR and ascertaining the required resources requires a lot of knowledge and therefore the various models are built up in this context. To exploit the cloud computing domain software engineer's needs to quantify various requirements of the application and based on that framework needs to be designed and developed for controlling cloud services at the multiple levels of abstraction. In this paper, we will analyze models evaluating various NFR affecting the efficacy of application in a cloud computing domain. The model could be both working for static as well as dynamic implementation.
Improving English Reading Comprehension: The Role of Visual Mind Mappingin SQ4R Strategy

The purpose of this research is to increase the English reading comprehension ability through the survey, questions, read, record, recite, review strategy (SQ4R) that is implemented by the role of visual mind mapping.SQ4R is the systematic strategy that can be used varying the media.The method of research is Exploratory Mixed Method.The procedure of research used John Elliot model.The data was collected through observation, interview, daily note, and test.The technique of data analysis is qualitative and quantitative.The research finding shows that visual mind mapping in SQ4R strategy implementation gave the different ways.It has a significant influence on English reading comprehension ability.The average reading comprehension test in the last cycle is 88.
A new Modulo Addition with enhanced scalable security against algebraic attack

In recent years, Algebraic Attack has emerged to be an important cryptanalysis method in evaluating encryption algorithms. The attack exploits algebraic equations between the inputs and outputs of a cipher to solve for the targeted information. The complexity of the attack depends on the algebraic degree of the equations, the number of equations, and the probabilistic conditions employed. Addition Modulo 2n had been suggested over logic XOR as a mixing element to better defend against Algebraic Attack. However, it has been discovered that the complexity of the traditional Modulo Addition can be greatly reduced with the right equations and probabilistic conditions. The presented work introduces a new Modulo Addition structure that includes an Input Expansion, Modulo Addition, and Output Compaction. The security of the new structure is scalable and user-defined as the new structure increases the algebraic degree and thwarts the probabilistic conditions.