Reviewerly/exHarmony huggingface dataset:
Effective Prediction of Online Reviews for Improvement of Customer Recommendation Services by Hybrid Classification Approach

Customers post online product reviews based on their own experience. They may share their thoughts and comments on items on online shopping websites. The sentiment analysis comprises of opinion or idea process and process of sorting high rating reviews according to how well the product satisfies. Opinion mining is a technique for extracting useful data from large amounts of texts in order to use those to enhance or expand a company's operations. According to consumer evaluations, many of the goods aren't as good as they seem. It's common that buyers submit their thoughts on a product but then forget to rate it. The prior data preprocessing is more efficient to extract the features by CNN approach. This proposed methodology breaks down each user's rating prediction model into two parts: one based on the review text and other based on the user rating matrix with the help of CNN feature engineering. The goal of this study is to classify all reviews into ratings by SVM model. This proposed classification model provides good accuracy to predict the online reviews efficiently. For reviews without ratings, a further prediction of feelings is generated using multiple classifiers. The benefits of this proposed model are honed using helpfulness ratings from a small number of evaluations such as accuracy, F1 score, sensitivity, and precision. According to studies using the standard benchmark dataset, the accuracy of customized recommendation services, user happiness, and corporate trust may all be enhanced by including review helpfulness information in the recommender system.
Information-statistical approach to inverse optical problem solution for 3D disperse systems with nano- and micro particles

Multiparameter analysis of simultaneous optical data for 3D disperse systems (consisted from nano- and/or microparticles of different nature) by information-statistical methods can help to estimate the share of different types of particles in mixtures. At the solution of inverse optical problem for unknown poly-component 3D DS, the comparison of measured parameters with the known ones from the set of mono-component 3D DS can help to identify the component content of the system under study. The approach was tested on the biomineral water mixtures of kaolin clay and bacterium coli bacillus with the help of the program based on the information-statistical theory. To solve the impurity optical recognition tasks, the Base of optical data for 3D DS is needed.
Distributed Multi-Dimensional Data Index Strategy in Cloud Computing Environment

The widespread application of cloud computing technology makes data show an explosive growth trend, and poses new challenges to traditional data management technology. Existing cloud storage systems generally use distributed hash tables to access data. This key-value-based model can achieve higher access efficiency in single-dimensional queries, but it does not support multi-dimensional queries. Therefore, in recent years, cloud storage auxiliary indexing has become a hot topic in academic research, and related results have been published in top international conferences and top journals in the field of database. This paper studies the distributed multi-dimensional data index strategy under the cloud computing environment. The work of the thesis is carried out from two aspects: multi-dimensional data index in cloud storage and distributed computing.
Current Status of Vietnamese Joint Curriculum and Seeking Plans to Revitalize Education through Transmedia Teaching

In order to keep pace with the expansion of online classes that began with the Corona era and the emergence of convergence and complex learning, it is necessary to consider the form of teaching learning in a way that encourages learners to explore and lead learning. As a solution, this paper proposed transmedia teaching based on textbooks. Since there are textbooks that are faithful to the curriculum, more efficient Vietnamese language learning will be possible by developing scenarios that can arouse learners interest or utilizing video and video media anh this will also boost the Vietnamese language joint curriculum. In addition, it is necessary to consider efficient ways to learn foreign languages that can coexist and develop second language education through joint research. Vietnamese language education using transmedia content could also be an alternative to these concerns. In addition, various forms of content need to be studied together within the curriculum. It is also a point for all scholars studying Vietnam to think about together.
Developing an Assessment-Link Mobile Application: A Catalyst for Pre-service Biology Teachers to Analyse Cognitive Test

This study aimed to develop a valid android-based Assessment-Link application to help pre-service biology teachers practice skills of biology cognitive test questions based on Revised Bloom’s Taxonomy. The development procedure of the application used Kemp, Morrison, and Ross’ instructional design consisting of nine stages namely instructional problems, learner characteristics, task analysis, instructional objectives, content sequencing, instructional strategies, designing the message, development of instruction, and evaluation instruments. In this study, there were six biology learning assessment experts from Indonesia and Malaysia universities involved in assessing the quality of the Assessment-Link application. The application quality assessment was carried out on three aspects including content, design, and engagement. This result was in a form of an Assessment-Link application product that contained several features namely tutorial, introductory menus, Revised Bloom’s Taxonomy materials, materials of criteria and how to write good test questions, exploration, interactive quiz, and task. The validity test result showed that all aspects of the assessment were in a very good category. Therefore, the Assessment-Link application developed was valid and able to be used to prepare pre-service biology teachers in analysing biology test questions based on Revised Bloom’s Taxonomy.
THE DYNAMICS OF EDUCATION IN BULGARIA IN THE CONTEXT OF THE “LIFELONG LEARNING STRATEGY”

Constant changes in the economic and social aspect create new conditions in which people have to live.The rapid development of technologies and their entry into all areas is a challenge to knowledge and skills, as well as a prerequisite for seeking opportunities for their development.Completion of one level of education today should rather be seen as a fulcrum for further education.Dynamic changes make it necessary to constantly increase the competencies of people, regardless of their age.Starting the work process today should be interpreted as the beginning of additional training and qualifications in order to be able to meet the constant challenges of the environment.The starting point in the National Strategy for Lifelong Learning in Bulgaria is to achieve a high level of knowledge, continuous innovation, adaptation to the changes and achieving social participation of all.Learning is associated with processes such as adaptation, knowledge, development, which should be designed and coordinated internally and externally; has its own goals, focused on the acquisition of new knowledge and experience, organization according to certain criteria and use of information.The creation of favorable conditions for creative and professional realization of people of different age groups is possible by ensuring equal access to various forms of lifelong learning, having the necessary quality characteristics.As a reason for the need for constant improvement and upgrading of the qualification -can be considered the intensive development of technologies -requiring new skills for handling them.The discrepancy between supply and demand on the labor market also implies reforming of education in Bulgaria as a whole.The purpose of the article is to analyze the achievements in the field of education in Bulgaria in relation to the National Strategy for Lifelong Learning for the period 2014-2020 and to identify priority areas for further development.
Verb Movement and Pair-Merge

Government and Binding posited that the head operation in question involves adjunction of a lower head to a higher head in narrow syntax. It has been noted early, however, that this approach is highly problematic because head-adjunction violates several well-motivated constraints like proper binding condition, extension condition, chain uniformity condition and A- over-A principle. Thus Chomsky(2015) redefines head movement under pair- merge of heads, which can not be seen in syntax due to the fact that head is thought to be attached to the moved head on a separate plane. However in this article this internal pair -merge of heads(head adjunction) seems to be no longer available because it potentially produces multi-dominance and violation of some desiderata (Chomsky 2019) like RCR, DA, Strict Binary and also anaysis of bridge verb construction as well. Thus this proposal proposes that MERGE can redefine internal pair-head merge like R-to-v movement under feature sharing with an identical feature, which renders two-membered pair-merge into one-membered MERGE(amalgam). This operation with feature sharing ensures the basic derivation in Chomsky (2019)’s 7 desiderata as well as multi-dominance, extention condition and A-over-A principle.
Blockchain-Based Digital Contact Tracing Apps for COVID-19 Pandemic Management: Issues, Challenges, Solutions, and Future Directions (Preprint)

<sec> <title>UNSTRUCTURED</title> The COVID-19 pandemic has caused substantial global disturbance by affecting more than 42 million people (as of the end of October 2020). Since there is no medication or vaccine available, the only way to combat it is to minimize transmission. Digital contact tracing is an effective technique that can be utilized for this purpose, as it eliminates the manual contact tracing process and could help in identifying and isolating affected people. However, users are reluctant to share their location and contact details due to concerns related to the privacy and security of their personal information, which affects its implementation and extensive adoption. Blockchain technology has been applied in various domains and has been proven to be an effective approach for handling data transactions securely, which makes it an ideal choice for digital contact tracing apps. The properties of blockchain such as time stamping and immutability of data may facilitate the retrieval of accurate information on the trail of the virus in a transparent manner, while data encryption assures the integrity of the information being provided. Furthermore, the anonymity of the user’s identity alleviates some of the risks related to privacy and confidentiality concerns. In this paper, we provide readers with a detailed discussion on the digital contact tracing mechanism and outline the apps developed so far to combat the COVID-19 pandemic. Moreover, we present the possible risks, issues, and challenges associated with the available contact tracing apps and analyze how the adoption of a blockchain-based decentralized network for handling the app could provide users with privacy-preserving contact tracing without compromising performance and efficiency. </sec>
METHODOLOGICAL UNITY AND THE BASICS OF INTELLIGENT MANAGEMENT OF THE LEARNING PROCESS IN THE TRIAD “TEACHER-COMPUTER-STUDENT”

The formation of digital reality causes a significant change in the methodology of the educational process, so the subject of the content analysis of this study was the current state, problematic issues and promising areas of digital transformation of education. A comprehensive analysis and revision of the basic principles and guidelines, scientific and methodological approaches to improving the information and educational space in the context of designing and developing hybrid intelligent learning systems based on artificial intelligence methods and tak-ing into account the individual typological characteristics of the subjects of the educational pro-cess is an urgent task. The article formulates and substantiates a system of basic and special principles of designing and developing an intellectual learning environment, considered in the context of the unity and mutual influence of the three components of the structure of the information and educational space: a set of digital educational platforms and technologies; digital interaction infrastructure in the context of the interactive triad “teacher-computer-student” of the educational process; digital information and educational content. For the first time, the au-thor's principles of designing intelligent learning systems are formulated: hybridity; fuzzification of the information flow; intelligibility of management; prismaticity; coherence; consistency of technologies and tool environments; flexibility and adaptability of the organizational structure; resonance-wave effect; expert system in the mode of supporting research activities; motivational-synergetic effect. The conducted research integrates the previously obtained results of scien-tists from various fields of knowledge – digital didactics and theory and methods of teaching, psychology of the virtual environment, informatization and technical sciences, on the basis of which innovative aspects related to the possibility of creating intellectual environments of subject learning, taking into account the individual characteristics of students, intellectual support of educational and research activities of schoolchildren are revealed
Identification of patterns for space-time event networks

Abstract This paper provides new tools for analyzing spatio-temporal event networks. We build time series of directed event networks for a set of spatial distances, and based on scan-statistics, the spatial distance that generates the strongest change of event network connections is chosen. In addition, we propose an empirical random network event generator to detect significant motifs throughout time. This generator preserves the spatial configuration but randomizes the order of the occurrence of events. To prevent the large number of links from masking the count of motifs, we propose using standardized counts of motifs at each time slot. Our methodology is able to detect interaction radius in space, build time series of networks, and describe changes in its topology over time, by means of identification of different types of motifs that allows for the understanding of the spatio-temporal dynamics of the phenomena. We illustrate our methodology by analyzing thefts occurred in Medellín (Colombia) between the years 2003 and 2015.
HARDWARE FOR QUANTUM COMPUTATIONS

An exemplary hardware platform for simulation of some elementary quantum computations is presented in the paper. Basic cards of Sinara system with software and platform for experiments in domain of quantum physics and computations were described. Some exemplary applications of the hardware platform and instruction for starting up basic quantum algorithms are presented.
STUDENTS’ DIFFICULTIES IN SOLVING HIGHER-ORDER THINKING SKILLS (HOTS) READING COMPREHENSION SECTION AT SMA 1 TAKENGON

This study aims to determine students’ difficulties in solving Higher-Order Thinking Skills (HOTS) questions and their dominance due to the reading comprehension section at SMAN 1 Takengon. This study was delivered through a qualitative descriptive research design. Twenty-two students were elected to be research subjects based on purposive sampling. The instruments were documentation and interview. Data analyzed by adopting Miles and Huberman’s theory stepped into three-phase; data reduction, data display, and conclusion. As a result, the percentages showed several students’ difficulties; first in making inferences about 48%, second, determining the main idea about 26%, third, in detailed information about 18%, last, in understanding vocabulary about 8%. In conclusion, the dominant difficulty is making an inference.
Scope and Limits of Criminal Liability for the Acquisition and Use of Unauthorized Reproductions of Computer Programs Borne by a Business Which Has Not Reproduced Such Illegal Copies

Scope and Limits of Criminal Liability for the Acquisition and Use of Unauthorized Reproductions of Computer Programs Borne by a Business Which Has Not Reproduced Such Illegal Copies GRUR International, Volume 69, Issue 9, September 2020, Pages 955–959, https://doi.org/10.1093/grurint/ikaa075 Published: 04 July 2020 Article history Accepted: 06 May 2020 Published: 04 July 2020
Path Planning for Bulldozers with Curvature Constraints

There is presently no solution to the problem of an autonomous bulldozer pushing mounds of material to desired goal locations in the presence of obstacles whilst obeying the kinematic constraints of the bulldozer. Past work has solved some aspects of this problem, but not all. This research presents the first complete, practical solution to the problem. It works by creating a fixed RRT in advance, and then during operation connecting pushing poses into this RRT using Bezier curves. The RRT algorithm leverages a novel data structure for performing nearest neighbour comparisons for Ackermann-steering vehicles; termed the Distmetree. The resulting pushing states are searched using greedy heuristic search to find a solution and the final path is smoothed with cubic Bezier curves. The mode of operation chosen for best performance also constructs bidirectional RRTs to reach difficult to access pushing poses. The final mode of the algorithm was tested in simulation and proven to be able to solve a wide variety of maps in a few minutes while obeying bulldozer kinematic constraints. The algorithm, whilst not optimal, is complete which is the more desirable property in industry, and the solutions it produces are both feasible and reasonable.
Tracing and preventing sharing and mutation

Copyright © 2019 for this paper by its authors. We present a type and effect system for tracing and preventing sharing and mutation in imperative languages. That is, on one hand, the type system traces sharing possibly introduced by the evaluation of an expression, so that uniqueness and immutability properties can be easily detected. On the other hand, sharing and mutation can be prevented by type qualifiers which forbid some actions. Sharing is directly represented at the syntactic level as a relation among free variables, thanks to the fact that in the underlying calculus memory is encoded in terms.
Storage Mechanism for Heterogeneous Streamed Sensor Data

The evolutions in big data, IoT and cloud native applications like microservices architecture provide a different approach for streaming analytics. The heterogeneous streamed sensor data from multiple sources like sensor, social media and web are generated continuously and that data need to be analysed immediately to gain insights and finding interesting patterns on the data. The enormous volume of data will be generated continuously and retaining only the required information becomes the biggest challenge due to its variety and velocity. Storing of this streamed information directly on to the cloud ends up in incurring additional charges to the end user also the unwanted, redundant information creates a bottleneck for data analysis. It requires large amount of space for storage. While the traditional methods pose a huge challenge for scalability and interoperability, our work suggests a suitable architectural approach to stream and store the information using event-based streaming with microservices architecture model. We store the clean and pre-process data which has the required feature vectors for streaming analytics.
Analysis the digital images by using morphology operators

In this paper, we deal with morphology images that try to improve the use of images. On the one hand, the process is used to obtain the histogram of the image then converted it into a non-color image (gray scale). The next step is to perform the erosion, dilation, open and close operations on the images, how these methods have important effects, and how can be used on a variable number of images, and found the differences between them. These operations were applied on four different images, check images, four basic operations (dilation, erosion, open and close) for each image were performed. Then, retrieving process to the original state of the image (the colored copy) was applied. The results found that retrieving the original images is difficult, and there is the occurrence of some noises on the image when it was retrieved. Finally, conclusions of the work are presented.
Range-Relaxed Graceful Game on Graphs

Given a graph G = (V, E) and a set of integer labels L = {0, . . ., k}, k ≥ |E(G)|, a range-relaxed graceful labeling is a function f : V (G) → L such that: (i) f is injective; (ii) the absolute difference of the labels of the endpoints of an edge uv ∈ E(G) already labeled is unique.The range-relaxed graceful game (RRG game) is a graph labeling game recently introduced by Tuza and it is a variant of a two person graph labeling game.The players, traditionally called Alice and Bob, alternately assign an unused label f (v) ∈ L = {0, . . ., k}, k ≥ |E(G)|, to an unlabeled vertex v ∈ V (G) and the induced edge label is given by ϕAlice's goal is to end up with an injective vertex labeling of all vertices of G which induces distinct edge labels, and Bob's goal is to prevent it from happening.In 2017, Tuza posed a question about the RRG game asking for which values of k Alice wins the RRG game in a simple graph G, given a set of consecutive non-negative integer labels L. We partially answer Tuza's question presenting an upper bound on the number of consecutive non-negative integer labels necessary for Alice to win the RRG game on a simple graph G, a cycle, and a path graph.
ANALISIS SETTING RECLOSER &amp; PENENTUAN RATING FUSE CUT OUT BERDASARKAN ZONA GANGGUAN PADA JARINGAN DISTRIBUSI 20 KV GI SIDERA FEEDER PALOLO PT. PLN (PERSERO) BERBASIS ETAP 16.0.0

In the distribution of electrical energy from substations to the load center distribution channels are needed. The problem that often occurs in distribution channels is short circuit interference. Often the location of the disturbance cannot be immediately located, thus slowing down the process of handling the disturbance. Disturbances that occur in the 20 kV distribution network are temporary (temporary interruption) and permanent (permanent fixes that take a long time). Even the interference that was originally only temporary can turn into permanent interference, because the protection system installed does not work optimally. To overcome this, it is necessary to analyze the disturbance zone in the distribution network.&#x0D; Protection on the electricity distribution network has a very important role for the reliability and continuity as well as the security of electricity distribution, especially at the end of the load and one-phase branching. The inter-safety coordination on the distribution network must be in accordance with the standards set by PT PLN (Persero) ). In one phase branching area there is a safety against the current interference that may occur, namely Fuse Cut Out (FCO). very small short circuit, for that we need to pay attention to the way the recloser works with FCO (fuse Cut Out) so that the two safeguards can work well and avoid coordination failures on one-phase branching lines, so that the blackout area can be reduced. do the OCR relay settings in recl oser and Determination of suitable FCO rating so that the type used can be in accordance with the standard and can be in accordance with the load conditions in the field.