Reviewerly/exHarmony huggingface dataset:
Role of Digital Technologies in The Process of Future Teachers’ Professional Development

Digitalizing of Higher pedagogic education and consequent changes taking place in modern society are an important, but understudied, cause for concern. Active implementation of information and communication technologies in almost all spheres of life requires a new approach to the training of the 21st century teacher. This is a teacher who determines students' socialization and adaptation to independent life, meaning that such teacher has to meet all the challenges of the time.The purpose of the article is to determine the role of digital technologies in the process of future teacher's professional development and the impact on the effectiveness of pedagogical activity of a young specialist in the digital educational environment at school.The leading methods for determining the role of digital technologies in the process of professional development used in the study are the following: analysis of pedagogical activities, observations, questionnaires, survey and testing. Modern Russian educational space in the last few years is undergoing major changes associated with the development and active implementation of digital technologies in schools, with the transformation of experience in learning and education concerning the younger generation. The goal of Higher education is to train teachers of a new format, able to integrate traditional methods and innovations related to the digitalization of education. The results showed that digital technologies make it possible to achieve goals twice as fast and make teaching more productive. Also, students are more motivated to acquire knowledge.
KnowHealth: A Knowledge Graph based Question-Answer Platform for Elderly People

Nowadays, population aging has become a prominent problem all over the world, which brings new challenge to manage multi-type and multi-relation health data from elderly.Existing approaches store those complex data in traditional relational database, which lack support of relation retrieval and is hard to answer elderly's semantic query.In this paper, we design and implement a knowledge graph based question-answer platform (KnowHealth) to manage those health data, which can help the elderly know their health condition better, Specifically, we propose an ontology definition which can describes the entities and relations in aged disease domain.Based on the ontology, we crawl and extract health related information from different input sources.Then, entities and relation extraction methods can be used to construct a knowledge graph.Finally, we completed a historical behavior driven question-answering platform to serve query for elderly.By analyzing and extending intention of questions, answer can be retrieved and reasoned more accurately.
Sentiment Analysis for Hotel Attributes from Online Reviews

Users evaluate hotels by using online reviews depend on their various attributes. In this study, sentiment analysis of the reviews consisting of these attributes has been carried out by using 11 attributes, which determined beforehand. Thanks to the this analysis, user's overall assessment has been determined and summarized from reviews regarding any aspect of the hotels. In order to determine words with similar meaning to represent the 11 attributes, Word2Vec method have been employed. Ad- ditionally; FastText method have been utilized in an effort to disregard possible spelling errors. Since the employed data set is not labeled, VADER, which is a dictionary based method, has been employed in order to perform sentiment analysis. The performance score has been calculated by evaluating the comments in three categories as positive, negative and neutral.
Underwater Application of Universal Vacuum Gripper and Wall-Adhesive Water Drone

In recent years, with the deterioration of underwater structures, the underwater drones have been proposed to conduct inspections and work in the sea. In order to stably work in the flowing sea, the drone is desirable to fix itself to the wall surface by adhesion. In this study, we developed the sucker fish drone based on Universal Vacuum Gripper (in short UVG) which is a vacuum suction gripper attached to uneven surface and curved surface. We evaluate the performance of the UVG in underwater, for mounting it on underwater drones. In addition, we conducted the experiment to adhere on the wall like a sucker fish by the developed drone.
THE CONSTRUCTION OF STUDENTS’ TYPOLOGY BY THE RELATION OF AESTHETIC SENSIBILITY AND DEPRESSION

Basing on theoretical analyses the attributes of personality as a social display of a human, and the attributes of individity as a social display of an individual are defined. Besides, the integral indicator of personality is aesthetic sensibility, and the integral indicator of individity – depression. The generalized analysis of modern students’ peculiarities empiric research results allowed to build the typology of students by the relation of aesthetic sensibility and depression as personality and individity integral attributes. 4 types of students were distinguished: I type «+ +» – high level of aesthetic sensibility and high level of depression (named “Avatarity”); II type «– +» – low level of aesthetic sensibility and high level of depression (named “Individity”); III type «– –» – low level of aesthetic sensibility and low level of depression (conditionally named “Vitality”); IV type «+ –» – high level of aesthetic sensibility and low level of depression (actually the type “Personality”). Basing on the revealed differences between types of students, defined by the relation of aesthetic sensibility and depression, in the level of the most studied psychological indicators, the typical psychological attributes are defined. The constructed students’ typology gives us a possibility for better understanding of the destructive influence of educational surrounding and other social influences, coinciding with the time of study in a higher educational establishment, on the student’s personality transformation. The perspective are the development and improvement of the method of personality (and its attributes) empiric researches application as an indicator for estimation of educational (production etc) surrounding favourableness / unfavourableness for the human vital activity and the development of his personality.
AWARENESS OF INTERNET OF THING AMONG STUDENTS OF SOUTH EATERN UNIVERSITY OF SRI LANKA

Internet of Things (IoT) is an emerging technology which is a network of interconnected objects using internet capable to collect and exchange data with each other. It facilitates human activities by providing a platform which includes different types of embedded devices such as sensors and responders. Hence most of the people are using IoT devices and its applications in day to day life, but as an innocent about the technological impact. This study was carried out to analyze the eminence of awareness on IoT among the undergraduate students based on different factors. Sample data were collected from all six (06) faculties of South Eastern University of Sri Lanka (SEUSL) using online questionnaire forms. Both qualitative and quantitative research design approaches were used on collected data with random sampling method. Analysis results of the study proved that most of the students extended their knowledge on IoT by self-learning and they believe that IoT based applications are more fun to use. More than 80% of the students have faith in that the IoT encourages them to use latest technologies and will lead to learn more technologies in future as well. Furthermore, most of the students have interest to work with IoT projects, thus they have suggested to create a subject in their syllabus about IoT. However significant number of students are not ready to use IoT today, since they believe that the use of IoT have negative impact such as excessive distraction and time wastage. Around 35% of students worried about data privacy and lack of security, especially on location-based IoT applications which lead to avoid use of IoT. The analysis results enlighten that there should be a good system to alleviate their anxiety by providing awareness on use of IoT in order to escalate the involvement of undergraduate students with IoT technologies.
BioNMT: A Biomedical Neural Machine Translation System

To solve the problem of translation of professional vocabulary in the biomedical field and help biological researchers to translate and understand foreign language documents, we proposed a semantic disambiguation model and external dictionaries to build a novel translation model for biomedical texts based on the transformer model. The proposed biomedical neural machine translation system (BioNMT) adopts the sequence-to-sequence translation framework, which is based on deep neural networks. To construct the specialized vocabulary of biology and medicine, a hybrid corpus was obtained using a crawler system extracting from universal corpus and biomedical corpus. The experimental results showed that BioNMT which composed by professional biological dictionary and Transformer model increased the bilingual evaluation understudy (BLEU) value by 14.14%, and the perplexity was reduced by 40%. And compared with Google Translation System and Baidu Translation System, BioNMT achieved better translations about paragraphs and resolve the ambiguity of biomedical name entities to greatly improved.
The Area-Latency Symbiosis: Towards Improved Serial Encryption Circuits

The bit-sliding paper of Jean et al. (CHES 2017) showed that the smallest-size circuit for SPN based block ciphers such as AES, SKINNY and PRESENT can be achieved via bit-serial implementations. Their technique decreases the bit size of the datapath and naturally leads to a significant loss in latency (as well as the maximum throughput). Their designs complete a single round of the encryption in 168 (resp. 68) clock cycles for 128 (resp. 64) bit blocks. A follow-up work by Banik et al. (FSE 2020) introduced the swap-and-rotate technique that both eliminates this loss in latency and achieves even smaller footprints.In this paper, we extend these results on bit-serial implementations all the way to four authenticated encryption schemes from NIST LWC. Our first focus is to decrease latency and improve throughput with the use of the swap-and-rotate technique. Our block cipher implementations have the most efficient round operations in the sense that a round function of an n-bit block cipher is computed in exactly n clock cycles. This leads to implementations that are similar in size to the state of the art, but have much lower latency (savings up to 20 percent). We then extend our technique to 4- and 8-bit implementations. Although these results are promising, block ciphers themselves are not end-user primitives, as they need to be used in conjunction with a mode of operation. Hence, in the second part of the paper, we use our serial block ciphers to bootstrap four active NIST authenticated encryption candidates: SUNDAE-GIFT, Romulus, SAEAES and SKINNY-AEAD. In the wake of this effort, we provide the smallest block-cipher-based authenticated encryption circuits known in the literature so far.
Exploring Barriers Contributing towards an Effective Online Learning among Undergraduates’ Students using PLS-SEM

In March 2020, the world was first hit by Covid-19 that started to have negative impact on all sectors including education. Most of the higher learning institutions had a shift to use the technology in imparting knowledge and conducting online learning for students. This paper analyzed the effect of attitude, interruption, personal skills and technology skills towards effective online learning. A total of 375 valid questionnaire responses was coded and analyzed using PLS-SEM analysis. The findings showed the attitude and technology skills were significant factors to the barriers of effective online learning among students. Keywords: Online Learning; Technology; Education learning; Technology skill eISSN: 2398-4287© 2020. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning &amp; Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v5i15.2511.
Study on Delay Optimization of Fog Computing Edge Nodes Based on the CPSO-LB Algorithm

With the development of modern science and technology as well as the steady advancement of urbanization, intelligent networks have emerged and are replacing traditional networks with the identity of next-generation networks. And information security is one of the most important research directions in the intelligent network construction. In order to resist the threat of privacy leakage during the data transmission of intelligent terminal, an original four-layer fog computing system which is suitable for intelligent network data collection, transmission, and processing structure is established in the paper. With the help of the Paillier algorithm for encryption and fine-grained aggregation, the fine-grained aggregated data as coefficients are embed in the cloud node, and Horner’s rule is conformed for unary polynomials, which further aggregates to reduce the amount of transmitted data, so that communication overhead is reduced as well. Meanwhile, the resolvability of Horner’s rules allows EPSI to finally obtain the subregional information plain text, and it is summed up to obtain cloud-level information data. Therefore, the comparative analysis of simulation experiments with other algorithms proves that the rational optimization of the research content in this paper plays a higher security role.
A Reference-Guided Double Pipeline Face Image Completion Network

The existing face image completion approaches cannot be utilized to rationally complete damaged face images where their identity information is completely lost due to being obscured by center masks. Hence, in this paper, a reference-guided double-pipeline face image completion network (RG-DP-FICN) is designed within the framework of the generative adversarial network (GAN) completing the identity information of damaged images utilizing reference images with the same identity as damaged images. To reasonably integrate the identity information of reference images into completed images, the reference image is decoupled into identity features (e.g., the contour of eyes, eyebrows, nose) and pose features (e.g., the orientation of face and the positions of the facial features), and then the resulting identity features are fused with posture features of damaged images. Specifically, a lightweight identity predictor is used to extract the pose features; an identity extraction module is designed to compress and globally extract the identity features of the reference images, and an identity transfer module is proposed to effectively fuse identity and pose features by performing identity rendering on different receptive fields. Furthermore, quantitative and qualitative evaluations are conducted on a public dataset CelebA-HQ. Compared to the state-of-the-art methods, the evaluation metrics peak signal-to-noise ratio (PSNR), structure similarity index (SSIM) and L1 loss are improved by 2.22 dB, 0.033 and 0.79%, respectively. The results indicate that RG-DP-FICN can generate completed images with reasonable identity, with superior completion effect compared to existing completion approaches.
SEQ2SEQ VS SKETCH FILLING STRUCTURE FOR NATURAL LANGUAGE TO SQL TRANSLATION

Abstract. Sequence to sequence models have been widely used in the recent years in the different tasks of Natural Language processing. In particular, the concept has been deeply adopted to treat the problem of translating human language questions to SQL. In this context, many studies suggest the use of sequence to sequence approaches for predicting the target SQL queries using the different available datasets. In this paper, we put the light on another way to resolve natural language processing tasks, especially the Natural Language to SQL one using the method of sketch-based decoding which is based on a sketch with holes that the model incrementally tries to fill. We present the pros and cons of each approach and how a sketch-based model can outperform the already existing solutions in order to predict the wanted SQL queries and to generate to unseen input pairs in different contexts and cross-domain datasets, and finally we discuss the test results of the already proposed models using the exact matching scores and the errors propagation and the time required for the training as metrics.
Multi-interest User Profiling in Short Text Microblogs

Discourse on short text platforms like Twitter shapes the design of underlying knowledge-based recommendation engines. The resulting recommendations are powered by user connections as social network nodes as well as with shared interests. Twitter as a platform provides a complex mesh of users’ interest levels where some users tend to consume certain topical content to a lesser or greater extent. This consumption of content is usually considered a defining factor in curation of their online identity. Our aim in this paper is to quantify the multi-interests of users based on the tweets they disseminate. We do this by (i) representing all tweets as vectors for computations (ii) generating cluster centroids representative of the topics of interest. (iii) computing a responsibility matrix to depict their interest levels in the topics (iv) aggregating intra-user interest levels to define the user’s multi-topic affinities. We use a Twitter dataset geolocated to Kenya to validate users’ intra-topical interests. Our experimental results demonstrate the effectiveness of our approach in terms of capturing their multi-interests and in turn generate their multi-topic interest profiles.
Designing a cryptosystem for data at rest encryption in mobile payments

ABSTRACTSince the evolution of m-commerce, security and entrustment of digitized transactions have become of captious concern to financial institutions. Card information hacking has caused money losses around the world, therefore it is imperative for financial institutions to get rid of such losses. Currently, the number of mobile payment schemes have been purposed but primarily the schemes aim attention at transaction security, fraud detection and prevention, not on data at rest encryption in mobile payments. Therefore, this work aims attention to encrypt sensitive static data residing at database server in mobile payments. Data at rest is the static data i.e., card details of the users which resides at the server. It is essential to ensure that the sensitive data of the payment users stay protected so as to prevent the adversaries looking for unauthorized access to the data. The encryption of data at rest is accomplished at the database level in this work. Cryptography is increasingly being used to combat against the security of sensitive data to guarantee data confidentiality and data integrity. In this work a cryptosystem is proposed which describes the management of cryptographic keys of the sensitive data at rest, in a mobile payment system with symmetric cryptographic implementation, the keys involved are identical for both encrypting and decrypting the sensitive data.
Assessment of IMF Deregulation and Liberalization of Trade and Persistence Crises of Development in Nigeria from 2000-2018

The ongoing development crisis that engulfed the post-colonial Nigerian state in the context of externally and internally oriented policy prescriptions, coupled with abundant natural and human resources within its territory, has continued to elicit disputes among scholars and policy makers.With the transition from a military to a democratically elected government in 1999, then President Olusegun Obasanjo, through the instrumentality of the IMF-sponsored National Economic Empowerment and Development Strategies (NEEDS), adopted and implemented, among other things, the reforms of deregulation and trade liberalization that have been proclaimed a panacea for resolving the development crisis in the country.It is in this connection that our study was saddled with the responsibility of interrogating the nexus between the adoption and subsequent implementation of the IMF-induced reforms and the persistent development crises in Nigeria in the context of ascertaining whether the adoption of IMF-imposed deregulation policy reduced the Human Development Index in Nigeria; and whether the implementation of IMF policy of liberalization of trade increased the unemployment rate in Nigeria between 2000 and 2018.With the support of the Mixed Economic Structural and Economic Nationalism Analytical Approaches, combined with the qualitative descriptive method of data analysis and the documentary method of data collection, the study argued that the deregulation and trade liberalization reforms were responsible for the decline in HDI and the increase in the unemployment rate.From this point of view, the paper recommended the implementation of a two-phase development plan and the use of a regional integration development strategy as practical solutions to Nigeria's persistent development challenges.
A Proposal of Steganography Algorithm by Random Image Transformation

The rapid developments in communications systems and the Internet have led to propose a new hiding algorithm to transfer the image, text, or voice over the Internet and network. The image is considered a cover to hide the massage by using a secret random key. The secret key is 9×9 matrix and then random elements are selected to make inverse matrix. The inverse matrix is multiplied by one–dimensional matrix, resulting in hidden images. This algorithm keeps the images secret during transmission through network. Such a process is known as random image transformation and is regarded as a reliable means of concealment.The results obtained from the proposed algorithm depend on the cover image. The secret key is generated so that it can restore the original image after receiving without losing of any hidden information by recipient in the network.
INCREASING THE COMPETITIVENESS OF HIGHER EDUCATIONAL INSTITUTIONS WITH THE HELP OF INTELLECTUAL INFORMATION SYSTEMS IN MANAGEMENT

This article describes the main approaches to the development of an intellectual information system for managing the educational process. When developing, the experience of some foreign and national universities is taken into account, taking into account the general principles of the educational process. The analysis showed that in the development of IP there is a need for a specific approach to the development of the system.