Reviewerly/exHarmony huggingface dataset:
The Impact of Central Bank of Liberia Guidelines on Inbound Money Transfers in Liberia (the Liberian Bank for Development &amp; Investment 2016-2018)

The Central Bank of Liberia (CBL), according to its mandate under the Act of 1999 and its authority, in line with Section 55 and 39, on November 15, 2016, issue a regulation (No. CBL/RSD/004/2016) on payment of Inbound money transfers, which was ordered by former President of the Republic of Liberia, Madam Ellen Johnson Sirleaf, and the Minister of Foreign Affairs. The objective of this regulation was to support the effective management of the foreign exchange market. The regulation applies to all licensed financial institutions involved in money transfer services, such as Western Union and MoneyGram. The regulation did not apply to inbound money transfers that are made using recipient accounts at commercial banks. Conclusion: The theoretical framework presented in this research suggests that commercial banks, be precise, the Liberia Bank for Development and Investment (LBDI), are more likely to suffer a decrease in commission on inbound money transfers throughout the three years (3) of restrictions.
Level of Utilizing New Media in Spreading Security Awareness among Students of Palestinian Universities in the Governorates of Southern Palestine

The study aimed to identify the degree to which a sample of Palestinian university students in the southern governorates of Palestine appreciated the level of benefits that could be gained from new media in developing their security awareness, and its relationship to the study variables (sex - university - college).To achieve this, the descriptive analytical method was used by applying an electronic questionnaire that included (37) items distributed over (3) dimensions on a sample of (353) students of level four of (Al-Azhar University, Al-Quds Open University, and Israa University) who were selected from a total sample population of (4204) male and female students by the stratified random sampling method. The results showed that the overall assessment of the level of utilization of new media in developing security awareness from the viewpoint of the study sample was average. There were also no statistically significant differences at the level of (α ≤ 0.05) between the mean scores of the participants’ responses regarding the level of benefit of new media in developing security awareness among university students in the southern governorates of Palestine attributed to all study variables (sex, university, college). The most used devices to benefit from the new media was mobile phone, which was mostly used for 3-6 hours a day, while social media networks (Facebook, Twitter) were the most preferred among the study participants. The study recommended creating a supportive legislative and cultural environment that would criminalize any negligence in the role of the media and educational institutions in the field of security awareness.
Multilingual Fact Linking

Knowledge-intensive NLP tasks can benefit from linking natural language text with facts from a Knowledge Graph (KG). Although facts themselves are language-agnostic, the fact labels (i.e., language-specific representation of the fact) in the KG are often present only in a few languages. This makes it challenging to link KG facts to sentences in languages other than the limited set of languages. To address this problem, we introduce the task of Multilingual Fact Linking (MFL) where the goal is to link fact expressed in a sentence to corresponding fact in the KG, even when the fact label in the KG is not available in the language of the sentence. To facilitate research in this area, we present a new evaluation dataset, IndicLink. This dataset contains 11,293 linked WikiData facts and 6,429 sentences spanning English and six Indian languages. We propose a Retrieval+Generation model, ReFCoG, that can scale to millions of KG facts by combining Dual Encoder based retrieval with a Seq2Seq based generation model which is constrained to output only valid KG facts. ReFCoG outperforms standard Retrieval+Re-ranking models by 10.7 pts in Precision@1. In spite of this gain, the model achieves an overall score of 52.1, showing ample scope for improvement in the task.ReFCoG code and IndicLink data are available at this https URL
PSYCHOLOGICAL PECULIARITIES OF SELF-DETERMINATION OF MODERN YOUTH

Adolescence is a sensitive period of an individual’s way of life projection through an ability of awareness its individuality and self-reflection, self-determination in social, personal, professional and other aspects of life, designing life plans and desire of conscious future’s planning. The purpose of the research is to determine psychological peculiarities of an ability to make a life choice in measuring the self-determination of the students. The self-determination of an individual is determination of the personal orientation vectors in different modes of life activity that is based on a life-sense search. The emergence of life plans in adolescence determines set for professional self-determination of youth that is involved in social production and labor activity that provides the process of “Me” ideas specification in a profession, career and professional plans. The study has been conducted at the National University of Ostroh Academy during 2019-2020. The sample was consisted of 50 respondents aged 20-25 at their 3rd-4th years of studying at different depatments and specialties. It has been diagnosed that the general level of modern youth’s ability to make own life choice is at a low level. During making important decisions, students have shown low ability to manifest independence in the process of self-determination, to resist the influence of others on this process. Due to the weakness of established life-based values, adolescents find it difficult to figure out optimal ways of their capabilities’ realization. Young people have demonstrated sufficient ability to analyze properly all aspects of the situation during making life decisions. Students have an inability of overcoming difficulties and obstacles in life, what prevent making balanced life decisions and the implementation of self-determination at the stage of choosing a profession and mastering professional activity. The inability of overcoming difficulties and obstacles fully prevents from own potential’s realization and taking opportunities, as well as making life balanced decisions, choices and perform self-determination of adolescents in general.
PERCEPTION OF STUDENTS ON THE EFFECTIVENESS OF USING GOOGLE CLASSROOM AS BASIC LEARNING IN AUTOMOTIVE BASIC ENGINEERING IN VOCATIONAL SCHOOL

This study aims to obtain data on the effectiveness of using google classroom in online learning for TDO subjects, perceptions and student learning outcomes. The research method used is descriptive quantitative method with ex post facto design. The research sample used purposive sampling, namely 40 students of class X TKRO A. The research instrument uses documentation and questionnaires. The results showed that students' perceptions of the learning process using google classroom on battery material were 66%. Student learning outcomes show as much as 77.5% have been completed. In general, learning by using google classroom on battery material achieves quite effective results.
Investigating the Time Course of Face Perception Using Web-based Eye Tracking

The recent evolution of personal laptop cameras and eye-tracking software have created an opportunity to expand web-based science to include eye-tracking. The Gazer Program developed at the University of Victoria implements the essential measures of in-person eye-tracking on a laptop device using the open-source Webgazer software. The current study investigates the Gazer capabilities in a visual search task with faces.
A Prolog-based approach to Arabic syntax and semantics

This paper introduces a computational approach to Arabic syntax. The approach uses the Lexical Functional Grammar (LFG) framework. Semantic networks and frames were used to handle computational semantics using lambda notation. This was implemented in Prolog using Definite Clause Grammar (DCG) as a formalism for analyzing and generating syntactic structure.
DAIRY SUPPLY CHAIN SYSTEM BASED ON BLOCKCHAIN TECHNOLOGY

Blockchain an advent technology especially used for securing transactions. Mostly, the blockchain is used in the banking domain especially. But nowadays the concept has been wide. Nowadays, the banking domain is not an exception, it’s widely used in supply chain management also. The past decade has the importance of blockchain in supply chain integration. The knowledge management and supply chain integration ensure high profit and sustainability in the business. To fully understand the blockchain application in the food supply management or product supply management technique, cryptography is applicable. The application can be enhanced by IoT or RFID cards. This paper focuses mainly on the food supply industry or product supply management system. This paper enhances the scope of the blockchain by identifying key variables, the implications of blockchain in the food industry. This represents the present, current challenges, and future research scope in the field of blockchain.
THE IMPACT OF GEOMETRY KNOWLEDGE ON THE ORIENTATION AND MOBILITY OF BLIND STUDENTS

The problem of blindness and other visual impairment is very important because it affects millions of people in the world. For those suffering from innate visual impairment, it is very difficult to imagine the world like it is, the fight begins from early school stages and continues until the end of life. This paper describes how the learning of basic geometric shapes, and their different positions, has an impact on the formation of a mental scheme in orientation and mobility. Geometry and its knowledge represent only one small part necessary for a safer and more independent movement of blind people. The research has shown that the quarterly individual work, on the adoption of geometric concepts and positions in students, is making progress in overcoming the recent problems. Spatial visualization implies understanding and imaginary movements, which, with spatial orientation and recognition of parts and relationships in the micro and macro environment, require mental rotation in relation to the position of the body. Therefore, it all together influences the formation of the mental scheme of the blind people, which is the basis for orientation and movement.
Mask-based generative adversarial networking for crowd counting

Crowd counting is still a challenging task due to the variability of the distance scale, crowd occlusion, and complex background information. However, the deep convolution neural network has been proved to be effective in solving these problems. By loading input images, the network generates predicted density maps, and the average absolute error between the predicted density maps and given ground truth (GT) maps is a solid standard for evaluating the quality of the network. We propose a mask-based generative adversarial network (MBGAN) structure to generate accurate predicted density maps. The network consists of two parts: the generator and the discriminator. In the generator, we embed a fundamental feature extracting module, multiple level dilated convolution blocks, a predicted mask, and shortcut connection operations. The discriminator is mainly used to distinguish whether the density map comes from the generator or the GT and urges the generator to produce the density map that can confuse itself. The training of the proposed MBGAN model is through the joint action of density loss and adversarial loss. In the training strategy, we use the cross training of the generator and discriminator. Through experiments on five available datasets, the MBGAN achieved state-of-the-art performances that outperform other advanced methods.
A Three Layer Privacy Preserving Cloud Storage Scheme with FileDeduplication

Cloud computing has always been an inquisitive topic for discussion in terms of the recent computer science field. As the number of people using computer is increasing exceedingly at an exponential rate there is also a need to manage and store the data that is generated.These data has to be processed at a quicker rate .Cloud and fog are interconnected fog is closer to the end devices therefore more faster in terms of the response .As the number of users are growing exponentially the security for cloud also is of great importance. Data integrity of users using the cloud is of utmost importance. This work enlightens the importance as well as the proposed method for a secure data storage to safe guard and protect the users who store their data on cloud from unauthorized exploitation.
Perancangan Dan Implementasi Desain Arsitektur Cloud Yang Aman Untuk Sistem Stock Pada Halutime Thrift Shop

Information technology is currently experiencing very fast development. Cloud computing is a new era in today's technological developments. Cloud computing is an information technology service where resources are taken from the internet through web-based tools and applications. One of the cloud computing is GCP (Google Cloud Platform) which is a collection of cloud computing services offered by Google. In this joural, we will design and implement a cloud architecture using GCP (Google Cloud Platform) and web server security using WAF (Web Application Firewall) for the stock system at Halutime Thrift Shop. Web Application Firewall (WAF) is a security concept that can be used to prevent various threats and attacks on web applications. This journal aims to provide an overview of the benefits for companies that use cloud computing technology. Cloud computing utilizes the internet as a virtual server center for the purpose of data maintenance and application services. The result of this activity is the design of a secure cloud architecture design using the ModSecurity application, for the stock system for Halutime Thrift Shop.
Bayes and Minimax Optimality

The finite-sample Bayes optimality of support estimators for the signal plus noise model is investigated in this chapter. In general, it is shown that likelihood ratio thresholding procedures are always Bayes optimal. Consequently, the Oracle threshold estimation procedures are optimal for the class of log-concave error models and, otherwise, they are typically sub-optimal. These results lead to a slew of asymptotic minimax characterizations of the phase-transition phenomenon in exact support recovery. In particular, the previously established phase transition in the exact support recovery problem for thresholding estimators is shown to hold for all support estimators in a minimax sense, provided the class of error arrays includes independent log-concave models.
IMPACT OF MOBILE PHONES ON PERSONALITY DEVELOPMENT OF SECONDARY SCHOOL STUDENTS

The invention of wireless communication is one of the greatest inventions of mankind. The mobile phones are the devices that uses wireless communication. With the passage of time mobile phones were converted into smart phones providing a lot of features to the users and thus these devices gradually became the inseparable part of peoples lives. In every sector, people started using these devices for effective outcomes, especially in the education sector. Soon, it was observed that the impact of these devices on ones life was very high. The impacts can be negative as well as positive. For the sake of validating the consequences of positive and negative impacts of mobile phones, the investigator has carried out the present study in a small region targeting especially the secondary school students of city region of Patna, Bihar. The aim of the study is to find out about the impact of mobile phones on personality development of secondary school students. The survey method was incorporated to collect the required data. Two types of questionnaires were prepared, one related to the impact of mobile phones and the other related to personality development. ANOVA, t- test and mean were the Statistical techniques used for analysing the data. As a result of analysis, it is found that there is no significant relation between impact of mobile phone and personality development of secondary school students.However it is found that 67.29% of the boys and 58.06% of the girls in the sample have average mobile impact. 76.64% of the boys and 65.58 % of the girls have average level of personality development.
Application Of Role-Playing Learning Methods Through Google Meet Media To Improve Speaking Skills In Distance Learning (Dl)

This study aims to (1) Increasing the speaking skills of the sixth-grade students of SDN Sidomukti I by using the role-playing method through google meet media, and (2) Increase the response of the sixth-grade students of SDN Sidomukti I by using the role-playing method through google meet media. This study used a Classroom Action Research design (CAR). The subjects of this study were sixth-grade students of SDN Sidomukti I. The data collection method used was the test method and the questionnaire method. Analysis data were using qualitative descriptive techniques and quantitative descriptive analysis techniques. The results showed that there is an increase in the average percentage of speaking skills, namely in the first cycle of 58.8% to 82.3% in the second cycle this shows an increase in the average percentage of language skills in role-playing activities in children from the first cycle to the second cycle amounted to 23.5% and is in the high category. The effectiveness of using Google Meet in online learning is averaged on the third indicator, as many as 40, 27% of students answered strongly agree, 60.78%, students answered agree 29.94% and the remaining 9.28% of students disagreed.
Photon-number Splitting Attack on SARG04 Protocol

Network protection, an essential interest has migrated within this area particularly with the development of hacking, the strategies, as well as the penetration of the most effective blanketed networks. It can be stated that all the methods and protocols applied failed to forestall the intruder’s attacks, consequently many researches grew to favor quantum mechanics over create non-intrusive methods. Many scientists and researchers have introduced other cryptographic subjects in quantum computing which is known as quantum key distribution protocol. In this paper, which is an extension to our preceding work (Mustafa et al., 2019), the simulation of the overall performance of SARG04 protocol had been examined in opposition to the most time-honored attack: Photon-number splitting (PNS) assault in the quantum channel. The data received showed results that obtained high resistance against PNS attack, due to the method that was used in the sifting stage.
Generative Adversarial Networks

Abstract: Deep learning's breakthrough in the field of artificial intelligence has resulted in the creation of a slew of deep learning models. One of these is the Generative Adversarial Network, which has only recently emerged. The goal of GAN is to use unsupervised learning to analyse the distribution of data and create more accurate results. The GAN allows the learning of deep representations in the absence of substantial labelled training information. Computer vision, language and video processing, and image synthesis are just a few of the applications that might benefit from these representations. The purpose of this research is to get the reader conversant with the GAN framework as well as to provide the background information on Generative Adversarial Networks, including the structure of both the generator and discriminator, as well as the various GAN variants along with their respective architectures. Applications of GANs are also discussed with examples. Keywords: Generative Adversarial Networks (GANs), Generator, Discriminator, Supervised and Unsupervised Learning, Discriminative and Generative Modelling, Backpropagation, Loss Functions, Machine Learning, Deep Learning, Neural Networks, Convolutional Neural Network (CNN), Deep Convolutional GAN (DCGAN), Conditional GAN (cGAN), Information Maximizing GAN (InfoGAN), Stacked GAN (StackGAN), Pix2Pix, Wasserstein GAN (WGAN), Progressive Growing GAN (ProGAN), BigGAN, StyleGAN, CycleGAN, Super-Resolution GAN (SRGAN), Image Synthesis, Image-to-Image Translation.
A Survey of Bio Inspired Algorithms for Web Information Extraction and Optimization for Big Data Analytics

Information extraction is systematic process of extracting structured information from documents which has both unstructured and semi structured data set. Data available over the web is unstructured which is processed and delivered that may be challenging due to massive data over web. Bigdata analytics approach is used in the computation field where massive data is managed and processed as information. Data from various sources like industries, institutes are processed using algorithms in efficient means employing web of things or Internet of things used to mine such a large data. Bio inspired algorithms have evolved from application of heuristic approaches to meta-heuristic and hyper-heuristic methodologies. Bio inspired techniques are categorized into human inspired algorithms, Swarm Intelligence algorithms, evolutionary algorithms and ecology based algorithms. Genetic algorithms are purely heuristic in nature and are employed for computation and extracting information and from big data. This improves the computation speed effectively for extracting web related information as evolutionary algorithm resolves information extraction problems. The Ant colony and Particle Swarm Intelligence algorithms are of meta-heuristic in nature. The Cuckoo search, Artificial Bee Colony, Firefly algorithm and Bat algorithms are of hyper heuristic in nature i.e., they employ a combination of methods. Web information extraction using bio inspired concepts and genetic operators increases efficiency, capability to search particular information in massive data in web. Some of the tools that are available for data extraction and mining are DataMelt, Apache Mahout, Weka, Orange and Rapid Miner for enhancing web data extraction efficiency. This survey on bio inspired methodologies can be extended to parameter tuning and controlling is another big strategy that can be implemented, in addition to convergence speed up.
Improved Grid-Based Rao-Blackwellized Particle Filter SLAM Based on Grey Wolf Optimizer

In this work, a Rao-Blackwellized particle filter simultaneous localization and mapping based on grey wolf optimizer (called GWO-RBPF) is proposed. The proposed method aims to improve the accuracy of the mapping while maintaining the number of particles. GWO-RBPF utilizes the local exploration and global development ability of the grey wolf optimizer to improve the estimation performance of the Rao-Blackwellized particle filter, so that the low-weight particles can approach high-weight particles. Meanwhile, the pose information of the particles is optimized by the grey wolf optimizer. The proposed method is applied to the benchmark datasets and real-world datasets. The experimental results show that our method outperforms conventional method in terms of map accuracy versus the number of particles.
SPELLING ERRORS IN STUDENT SCIENTIFIC WORKS

This study aims to describe spelling errors in student scientific works. The errors studied included the use of letters, writing words, using punctuation marks, and writing absorption elements. The instrument used is a human instrument. The data was taken from spelling errors in the scientific work of students Trunojoyo Madura University Primary School Teacher Education (PGSD) in the form of background papers. The results showed that there were 156 errors. The spelling errors which include the use of letter as many as 70 errors, writing in as a prefix or preposition 43 errors, writing punctuation 40 errors, and writing absorption elements as many as 3 errors. This shows that students still lac understanding of spelling in scientific writing and need intensive guidance both in theory and application.