Reviewerly/exHarmony huggingface dataset:
Journal of Recent Research in Engineering and Technology (JRRET)

Journal of Recent Research in Engineering and Technology (JRRET)  is a peer reviewed open access Journal. JRRET is founded with the aim of analyze new inventions and technologies in the field of computer Science & Engineering, Embedded Systems, Information Technology, Information Systems, Electrical & Electronics, VLSI and so on.  JRRET  is provided with high quality and innovative articles submitted by research scholars, students and Industrial experts. Our Journal offers great support and services to make the researcher’s conference or research papers reachable all over the world. JRRET offers a platform to engage any new researcher with experts in research Institutions, results in increase the effectiveness and efficiency of research. JRRET’s published articles on research or review are offered with unrestricted access and international standards.. JRRET accomplishes with our Editorial team as our editors select articles regarding its inventiveness, new approaches, convenience and surprising conclusion.
Hybrid Deep Learning Long Tail Services Recommendation System:An approach to solve the problem of long tail services

There are number of online services and size of users have increased dramatically over the past years. In long-term web services are important to increase the web API economy, how to recommend the long-tail web services efficiently is a primary issue. Moreover, to focus on this problem, the traditional web based recommendation services performs poorly on long-tail side. To overcome the problem of severe sparsity of historical usage data and unsatisfactory quality of description content, we are focusing on Convolutional Neural Network approach to boost the performance of the network and reduce time consumption. Recommendation engine collects and saves suggestions from individuals who know about the decisions that they confronted and furthermore it values their points of view and identifies them as the specialists. Two ordinary entities which seem in any recommendation engine are the products and individuals. A DNN involved convolutional layer exchange with maxpooling layer pursued by completely associated layers and a last classification layer .
LWA: A lightweight and accurate method for unsupervised Person Re-identification

To improve the accuracy of person re-identification and reduce the size of models, a lightweight and accurate (LWA) unsupervised method is proposed. Firstly, a lightweight image classifier (LWC) is proposed. It combines DenseNet's convolutional layer and batch normalization layer to simplify its model structure. Then the spatio-temporal information of datasets is added to form a powerful classifier. Secondly, an optimization learning algorithm is proposed. A feeble classifier (LWB) is implemented by constructing a binary network. For the training of the network, the ranking information of a powerful classifier is used to enhance the recognition capability of the LWB. Furthermore, spatio-temporal information of datasets is added again to construct LWA classifier. The results show that the model size of LWB is about 80% smaller than that of the Siamese network model on the CUHK01 and VIPeR datasets. At the same time, the recognition accuracy of the LWA classifier is slightly improved on the Market-1501 and DukeMTMC target datasets.
Enhanced Trust SVD: Recommendation Model with Explicit and Implicit Influence of User Trust and Ratings

An Enhanced Trust SVD model, trust-based matrix factorization technique is used for Recommendation system. Enhanced Trust SVD (Singular Value Decomposition) integrates multiple information sources into the recommendation model in order to reduce well known problems Data Sparsity and Cold start Problems and their degradation recommendation performance. By analysing the social trust data from four real-world data sets, we conclude that not only the explicit but also the implicit influence of both ratings and trust should be taken into consideration in a recommendation model. Hence, we build on top of a state-of-the-art recommendation algorithm SVD++ which inherently involves the explicit and implicit influence of rated items, by further incorporating both the explicit and implicit influence of trusted users on the prediction of items for an active user. To our knowledge, the work reported is the first to extend SVD++ with social trust information. Experimental results on the four data sets demonstrate that our approach Enhanced Trust SVD achieves better accuracy than other ten counterparts, and can better handle the concerned issues.
Design and Implementation of a Platform for Controlling the Mentor Robotic Arm

This work presents the design and implementation of a platform (hardware and software) for controlling the Mentor robotic arm. Initially, power and data acquisition systems were designed and implemented. In the sequence, the software for communication between the computer and the manipulator was developed, as well as a human-machine interface for the system. The Arduino Mega 2560 was used for hardware control and firmware storage. Experimental results prove the proposed system can be used for robot online programming as well as for the implementation of various control laws, allowing the use of the system in various disciplines of the area of control and automation.
The Role of Political Institutions in Economic Growth and Development of Nigeria

Theoretical and empirical evidences support the notion that political institutions enhance economic performance in incipient democracies.It is the aim of this paper to ascertain the impact of political institutions on the performance of the Nigerian economy from 1999 to 2018.Consequently, it examines the concepts of political institutions, economic growth and development as well as reviews the trend in real GDP growth rates, youth unemployment and human development index in Nigeria.It was observed that during the 19 years of democratically elected government, there was consistent GDP growth from 1999 to 2002; fluctuating and declining growth from 2003 to 2018.The desired economic growth for the most populous country in Africa was somewhat a mirage and development snail speed.It supports the findings of Anwana and Affia (2018) that political institutions negatively impact growth and development in Nigeria.It suggests a revamp of the current political institutions (the rule of the game) by well meaning Nigerians, the need for reorientation of the masses about the innate power to vote out bad leaders and creation of a system that allows for proper representation of the masses at the state and national houses of assemblies.Improving economic growth and development in Nigeria requires a paradigm shift in her political institutions.
PENGARUH VARIASI WAKTU CENTRIFUGASI TERHADAP HASIL PEMERIKSAAN HEMATOKRIT METODE MAKRO PADA MAHASISWA PROGRAM STUDI D-III ANALIS KESEHATAN

Hematocrit examination of the wintrobe method, where erythrocyte solids are obtained by a blood centrifugation process which is determined by the speed and time centrifugation factors. As the number of examinations increases, sometimes the accuracy of centrifugation is often ignored. The purpose of this study was to determine the effect of centrifugation time variations on the results of the Macro Method hematocrit examination in D3 Health Analyst Study Program students. The method used in this study was a quasi-experimental method to find out the effect of variations in playback time on the results of the hematocrit examination of the Wintrobe method. The results of this study were obtained F-counts (0.835) and Ftables (3.35). Hematocrit centrifugation of the 25 minute macro method obtained the lowest levels of 37.5% and the highest is 68%. Centrifugation for 30 minutes obtained the lowest levels of 35.3% and the highest 66%. And lastly carried out centifugation for 35 minutes obtained the lowest levels of 37% and the highest 49.5%. Based on the above conclusions can be used for 25, 30, and 35 minutes centrifuge.
Keras: The Best Machine Learning Process for Image Recognition and Classification

This scientific-analytical paper best process for image recognition and classification with a neural system (Keras) using the R programming tries to investigate the sample pictures to recognize and classification of test pictures. In malice of the fact that there is a wide research gap between a picture classification of bitmap images when there were mostly linked with images for grouping with an outline of picture information. This article attempts to look into the image recognition and classification of two types of pictures using multiple neural network systems using multiple convolution bitmap picture requirements. Its motivation is to explain the most elementary method for grouping of picture data using deep machine learning of neural whose data structure was on highly dimensional of images. The outputs were adequately clarified with various intermediate plots and graphical translation picture information. Keras is the library of models of artificial neural systems that offers a high-level for various machine learning whose middle layer neurons were sets 256 neurons and initialized with ‘relu’ with 2352-pixel images using ‘softmax’ instead of using 635,522 neuron loads with it is optimized accurately with 10 epochs iterations. In this manner, this article tries to carry the most effortless approach to neural systems order when picture information handling has the caliber of the investigation of images data using or programming.
IMPROVING STUDENTS’ WRITING ACHIEVEMENT BY USING SANDWICH PARAGRAPH STRATEGY

Writing is important skill that should be taught. However, many students reluctant to do writing activities. Sandwich Paragraph Strategy is one of strategies that can be used to overcome students’ problems in writing. The purpose of this study was to find out whether or not there was a significant difference in writing achievement between the students who were taught through Sandwich Paragraph strategy and that of those who were not.Quasi-experimental method was used in this study.The participants of this study were the eighth grade students of SMPN 2 Teluk Gelam. Purposive sampling techinuqe was used to select the sample. T-test was used to calculate the data. Based on the result, it was found that t-obtained (4.002) was higher than t-table (2.003). It meant that there was a significant difference in writing achievement between the students who were taught through Sandwich Paragraph Strategy and that of those who were not. Thus, Sandwich Paragraph Strategy could improve students’ writing achievement.
From The Library Stock 017. Kalugin Alexey Ivanovich to “the last package” by Sergey Gorbatykh

From The Library Stock 017. Kalugin Alexey Ivanovich to “the last package” by Sergey Gorbatykh The article focuses on the person of Alexey Ivanovich Kalugin, who, by cutting and pasting notes from various emigrant magazines, created in Argentina from 1947 to 1982 eighty‑four albums, among which four albums Necropolis [«Некрополь»], two theme albums The Church [«Церковь»], three albums Icons [«Иконы»] and then Argentina [«Аргентина»], Writers [«Писатели»], Moscow [«Москва»], Russia [«Россия»] and more. He handed them over to A. I. Solzhenitsyn, then in charge of The All‑Russia Memoir Library in Vermont. In 1996, the Solzhenitsyn married couple donated the albums‑brain‑ children (as Kalugin called them) to the Alexander Solzhenitsyn House of the Russian Abroad. This and other episodes from Kalugin’s life found their reflection in Sergey Gor‑ batykh’s journalistic essay “The Last Package” [«Последняя посылка»].
The Digital Archives Handbook: A Guide to Creation, Management, and Preservation, Purcell, A. D., ed.

"The Digital Archives Handbook: A Guide to Creation, Management, and Preservation, Purcell, A. D., ed.." Journal of Web Librarianship, 14(1-2), pp. 55–57
A Fuzzy Expert System for Car Evaluation

In this work, a fuzzy expert system (FES) is designed and developed to help customers in selection of a car. The work is supported on fuzzy expert system (FES) that was implemented with the data bases and expertise of customers. The input variables taken in this fuzzy expert system are same as used in literature. All these factors give an efficient car evaluation.
Funz preschool courseware application

Preschool were early childhood program in which are children combine learning with playing in a program run by professionally trained adults. But, there were disadvantages of preschool whereas of the costs of high quality program that can be far greater than the cost of education at some public universities. FunZ Preschool courseware for preschool kids were one of the basic matching and identification skills to learn how to read, write, type and math skills of all kinds. By using this application, the preschool kids will be more interested in learning and at the same time, they will be having fun while playing with the application and get knowledge from it. In order to get the user and the client a clear idea of about what of this application is, this application was proposed.
Features of the chinese network literature

The article discusses the history of the development of network literature in China, as well as its place in modern society. Modern literature has lost its homogeneous nature, divided into the one that exists in the traditional form of paper literature, and the one that develops in the network format. Some researchers of online literature associate the story of its origin with the emergence of universal electronic libraries and the digitization of world literature. The proposed article identifies the positive and negative aspects of the development of network works, the main problems of popularizing this area in the literature. Based on the two most popular Chinese sites, an analysis was conducted to identify the most widely read works in the network and the most popular genres in modern China, such as fantasy, fantasy and romance. Today, «online literature» can already be considered as a definite historical stage: it did not generate any significant artistic works or new genre models, but it gave impetus to the development of modern literature. In relation to it, it serves as the environment in which the phenomena of the modern literary process are formed.
Secured Re-Encryption in Un-Reliable Cloud Using File Sharing

A key approach for secure cloud computing is for data owner to store encrypted data in the cloud, and issue decryption key to authorized users. Then when a user is revoked, the data will automatically be re-encrypted on the cloud to prevent the data from any outside attack. In this the data is encrypted and decrypted in a flow. We have also done the data file sharing and group sharing in this project so data can be shared to valid users at the same time.
Analisis Perspektif Mahasiswa Terhadap Pelaksanaan E-Learning di Jurusan Pendidikan Luar Biasa

Online-based learning that has been done by students from the Department of Special Education FIP UNM cannot be separated from the perspective of students in using e-learning. Student perspectives can be seen in the quality of the system and the quality of information obtained in using e-learning and the level of satisfaction using e-learning. This study uses a quantitative approach to determine students' perspectives on the use of e-learning. Respondents were 62 students from the Department of Special Education who were deliberately selected. Questionnaires and documentation are used to collect data. Descriptive analysis and inferential analysis for analyzing data. The results of this study are that there is a significant influence on the quality of the system and the quality of information both individually and collectively on the satisfaction of e-learning users. The system quality and better information quality perspective will further increase user satisfaction. To improve the quality of e-learning, lecturers must provide guidelines that are easily understood by students in the form of pocket books. There is also a need for clarity of information about lecture material about e-learning systems
What do players of virtual reality exercise games want? A thematic analysis of online reviews of virtual reality exergames

Background: Physical activity (PA) is associated with a variety of physical and psychosocial health benefits, but levels of moderate-to-vigorous intensity PA remain low worldwide. Virtual reality (VR) gaming systems involving movement (VR exergames) could be used to engage people in more PA.Objective: This study aimed to synthesize public reviews of popular VR exergames to identify common features that players liked or disliked to inform future VR exergame design.Methods: We conducted a thematic analysis of 498 reviews of the 29 most popular exergames sold in the top 3 VR marketplaces: Steam (Valve Corporation), Viveport (Valve Corporation), and Oculus (Oculus VR). We categorized reviews as positive and negative as they appeared in the marketplaces and identified the most common themes using an inductive thematic analysis.Results: The reviews were often mixed, reporting a wide variety of expectations, preferences, and gaming experiences. Players preferred highly realistic games (eg, closely simulated real-world sport), games that were intuitive (in terms of body movement and controls), and games that provided gradual increases in skill acquisition. Players reported feeling that they reached a high level of exertion when playing and that the immersion distracted them from the intensity of the exercise. Some preferred features included music and social aspects of the games, with multiplayer options to include friends or receive help from experienced players. There were 3 main themes in negative reviews. The first concerned bugs that rendered games frustrating. Second, the quality of graphics had a particularly strong impact on perceived enjoyment. Finally, reviewers disliked when games had overly complex controls and display functions that evoked motion sickness.Conclusions: Exergames prove to be a stimulating avenue for players to engage in PA and distract themselves from the negative perceptions of performing exercise. The common negative aspects of VR exergames should be addressed for increased uptake and continued engagement.
HUMANISM BUILDING THROUGH ARTS EDUCATION IN INDUSTRIAL ERA 4.0

In the millennial era, cloud computing technology is an information technology that plays an important role in industrial and business operations. The use of big data technology applications and IoT (Internet of Things). On the one hand, advances in information technology have helped many human activities. On the other hand, advances in information technology lead to the lifestyles of people who tend to be individualistic and cool with their own world, causing behavior that ignores the surrounding environment. Art has a great opportunity as an educational medium to re-instate a sense of humanism. Humanism education at its core has the purpose of how it can be humanized, so education is considered successful while learners can understand themselves and their environment. Through performing arts, they are trained in body language, breathing, sound, and taste. Also, as an art community, the performers are trained in cooperation, mutual respect, social sensitivity, and more. The experience of branding is expected to be a meaningful learning medium for the culprit. One of the benefits of learning activities that are integrated with the performing arts is to train a sense of humanism. Performing arts are creative arts that involve the actors to act, imagine, and reflect on individual experiences in their artistic or non-artistic activities. That is, performing arts activities are activities that require the participation of individuals intellectually, emotionally, physically, verbally, and socially. Art education can be linked to various things because it is itself a multidisciplinary activity. The range of the motion of art education not only refers to the education of aspiring artists. Art education is more than just creating and understanding art and aesthetics but uses it in the context of humanist education. Therefore, art education may be able to provide spiritual discourse, morals, and pragmatic skills that are the basis of human life and living.
A linguistic approach to short sentences keywords identification for a question answering system

One of the aims of question answering systems is to identify which words are more relevant to understand the users' needs. Known approaches involve the identification of the users' intentions through a set of previously built related sentences. Some limitations of these approaches are the lack of flexibility and limited selection options. In this paper, we present an approach based on computational linguistics to identify the keywords in short sentences for question answering systems. The main contribution of our approach is related to the new way we use the information generated by the natural language processing tools to identify the keywords of the sentences, by profoundly exploring the linguistic information to select the keywords of the questions. Besides, we emphasise the generalisation and the simplicity of our algorithm. The efficiency of our method was proved by the performance of 0.9776 in precision, recall value of 0.9962, resulting in an F1 score of 0.9868 reached in the validation experiment using QALD-7 as a gold standard.
Reservation policy in India: The Practice of Reservation policy on Education in India.

Brown and Rau say that ‘Education is the total of experiences which makes the attitude of child and young and decides the character’. Education can removes injustice, illiteracy, and fulfills the knowledge. Education can also change the capacity of thinking, ideas, recommendations and mental feelings according to the nation, age and circumstances. By which the man recognizes his virtues and gets ability to give them proper expression, without education, all round development is beyond imagination not only of the personality of a person but also the development of the culture and civilization and the progress of the nation and whole society. At present, the Indian education system is one of the fastest developments in the world but the evolution and the improvement of educations from primary level to higher education in India was due to the existence of Christian Missionaries and the British administrator.
The Activation of Transferable Skill of Advanced S & T (Science & Technology) Manpower with the Global HRD Convergence Research

Purposes - This study propose the following 4 methods to establish Global HRD system focusing on transferable skill which is attracting attention as future science and technology Manpower. The activation of convergence research creates new industries in the era of 4th industrial revolution. Research design and methodology -This study was conducted by using research methods and expert interviews focused on document analysis. This study also reflects trends through books and materials that cover the latest issues such as the Fourth Industrial Revolution. Results - 4 Things are reflecting the policies of S&T Manpower and securing execution capability, developing competence-based transferable skill model, enhancing science and technology convergence R&D and performance capability, and developing customized HRD program. Conclusions - Transferable skills will contribute to strengthen the national competitiveness of science and technology in the long term by establishing the foundation of technological innovation that can create new industries and secure future growth power in the 4th industrial revolution era. Practically, it was suggested that science and technology professionals should be able to refer to the HRD program design and HRD program design by suggesting the view of transferable skill and the activation plan reflecting the insight.