Reviewerly/exHarmony huggingface dataset:
Success in a Career from the Perspective of Academic Youth

The contemporary study of careers requires taking into consideration multicontextual changes in the world of work, which make individuals face new challenges.The purpose of this article is to draw attention to the numerous transformations taking place in the contemporary reality, including in the world of work, which influence people's professional career, the significance attributed to it and the success achieved through it.This article presents the results of own research concerning career success as perceived from the perspective of academic students from Poland.Particular attention was paid to two aspects of this issue: its objective and subjective nature, as well as the assessment of own chances for achieving it within one's career path.The results of the studies prove, that the surveyed youth perceives success in a career in a subjective manner, but that its objective dimension is also important for the academic students, and that the vast majority take a positive attitude towards their own professional future.The resulting empirical material may carry important implications for the educational practice.
Mapping of Dental Care in the Czech Republic: Case Study of Graduates Distribution in Practice

Online registers contain a large amount of data about healthcare providers in the Czech Republic.Information is available to all citizens and can be useful to patients, governmental organisations or employers.Based on these data, we are able to create a high-quality snapshot of the current state of healthcare providers.Interconnecting data from more data sources together is an interesting task, and accomplishing it enables us to ask more complex questions.This paper focuses on answering several questions about dentists in our country.A dataset from one online database was created, using automated data mining methods and a subsequent analysis.Results are presented via an online tool, which was provided to owners of the data.They reviewed our results and decided to use our findings for the presentation to the Czech government and subsequent negotiation processes.Our paper describes used methods, shows some results and outlines possibilities for further work.
IMPROVING STUDENTS’ SPEAKING SKILL BY USING THREE STEP INTERVIEW AT LINTASAN IMAJINASI BAHASA MAHASISWA (LIBAM) IAIN PAREPARE

English as primary and foreign language has become the key to the world. However, it must be found the way how to be mastered it. One of the skills which are very important is speaking skill because it will help people to communicate and interact each other. This research was carried out at LIBAM IAIN Parepare. In this case, the researcher found that some members of LIBAM IAIN Parepare are still a law in speaking especially in front of their friends or other people. To solve the problem, the researcher used three step interview. This technique is one of student center learning which learners help each other and learn. The objective of the research is to know whether three step interview is able or not to improve the speaking skill of members of LIBAM IAIN Parepare.&#x0D; The population was the members of LIBAM IAIN Parepare and the sample of this research was 25 members. The researcher used pre-experimental design in one group was given pre-test, treatment and post-test design, as for the effect of treatment was judged by the difference between the pre-test and post-test. The success of the treatment is determined by comparing pre-test and post-test score. To collect the data, the researcher used tests that are pre-test and post-test. The researcher also gave questionnaire to know the responses of students to three step intervew. The data were analyzed as a percentage, mean score analyzes and the value of the test.&#x0D; The first result of the data analyzed that the students’ achievement on the pre- test was (6,36) and post-test was (7,26) This showed that by using three step interview was a good technique in English learning process at Lintasan Imajinasi Bahasa Mahasiswa (LIBAM) IAIN Parepare. After analyzing the data by using the t- test formula, the result of the t-test value (9,64) is bigger than the t-table value (1,7108).It means that there is a different improvement before and after using three step interview as technique of teaching. The second result of analyzed data that 72% of the students were interested in using three-ste interview, in the other word most of them interested to apply three step interview.
Микроволновое магнитопоглощение в HgSe с примесью Co и Ni

AbstractFeatures of magnetic-field-dependent microwave absorption in HgSe samples doped with Co and Ni impurities in different concentrations are investigated. The electron-spin resonance spectra of weakly coupled Co atoms and peculiarities of the magnetic-absorption variation in a magnetic field passing through the zero value are established. The main parameters of the electron-spin resonance spectra and temperature and angular dependences of microwave absorption in weak fields are determined.
Framework for Analysis and Forecasting on Browser Forensics

Nowadays, Browser and Internet users day by day using emerging quickly and the web browser through providing various web activities like browsing internet, emails, social media applications, internet banking, cloud storage, downloads etc. A number of crimes happen on computer resources can examine user activities by analysing the evidence of web browsers. It is most important for the forensic analyst to gather and examine output associate with web browser usage of the evidence. Current days, we have different types of web browser available like Google Chrome, Safari, Opera, Internet Explorer, Firefox Mozilla, Tor Browser, Lynx etc. In this project, we analyzed how to collect history, cookies, location, log files, login data, user profile, user activities, download files and dump files then we retrieve data from web browser. The main focus on recovering deleted data and depth analysis of browser activities using tools and some techniques. Also, we compare used tools result based on analysis and identify the dark side of the tools then how to overcome the situation. In tools there are many limitations of recover data and it may be reduced limitations of tools by designing a framework which shall help in removing some constraints and easily access some browser forensics tools on single platform.
KORELASI KETERAMPILAN MENYIMAK APRESIATIF TEKS CERPEN DENGAN KETERAMPILAN MENULIS TEKS CERPEN SISWA KELAS XII SMA NEGERI 2 PARIAMAN

ABSTRACT The purpose of this research there are three. First, describe the skills listening appreciative poem grade XII SMA Negeri 2 Pariaman. Second, it describes the text short story writing skills of students of class XII SMA Negeri 2 Pariaman, and third, describing the correlation of the short story with appreciative listening skills writing skills text short grade XII SMA Negeri 2 Pariaman. Theory related to this research is the theory of (a) the skill of writing short stories, (b) the text of the short story, and (c) skills listening appreciative short story.This research type is quantitative descriptive method. The design used in this research is the design korelasional. The population of this research is to grade XII SMA Negeri 2 Pariaman are registered on the 2018/2019 academic year, i.e. 268 students. The sample in this research are determined by proportional random sampling of 15% of the population, i.e. 40 students. Research data is a score test results and appreciative listening skills short score test results text short story writing skills. results of the research there are three. First, the skill to listen appreciative short grade XII SMA Negeri 2 Pariaman is located on more than enough qualifications (LdC) with an average value of 75.21. Secondly, the text of the short story writing skills of students of class XII SMA Negeri 2 Pariaman is located on more than enough qualifications (LdC) with an average of 75.00. Kata Kunci: Korelasi, Menyimak Apresiatif Teks Cerpen, Keterampilan Menulis Teks Cerpen
Achieving Efficient and Privacy-Preserving Cross-Domain Big Data Deduplication in Cloud

Secure data deduplication can significantly reduce communication and storage overheads in cloud storage services, and has potential applications in our big data-driven society. In Existing, there are several problems arises to comparing files in an efficient way. That matches by filename, not its content. So here if filename different and content is same so here duplication file will occur continuously. Second thing is each file will upload by user it will read and existing file character by character, So here the time efficiency is main problem to compare both files. In database consists billions and trillions of files there. If this comparison may persist the will increased continuously. In Proposed, we introduce Hash function, this function greatly helps for us to comparing every file. Initially when we upload files, hash code will generate for each file and store into hash table and the file will encrypted with the private key and store to the database. When another user uploads a same file, the same step begins to generate the hash function and now this hash function will compare to the hash table.When the hash matches the file will blocked otherwise it will stored. .Here we reduce lot of time compare to existing.Filename matches problem will not occur.Here we make a better privacy too.EPCDD achieves both privacy-preserving and data availability, and resists brute-force attacks.In addition, we take accountability into consideration to offer better privacy assurances than existing schemes.Keyterms: Secure data deduplication, big data, brute-force attacks, data availability, accountability. I.
Viewpoint of Probabilistic Risk Assessment in Artificial Enabled Social Engineering Attacks

Risk assessment really a complex decision-making process in the domain of in-formation security areas. There are a lot of unclear model of software domain and the lack of associated uncertainty are two main reasons that directly affect individual decisions making regarding risk assessment. When artificial enabled social engineering attacks are effectively may happening in every levels of domain. On the other hand, the risk assessment conducted on the safety requirements on artificial enabled social engineering attacks. So the simple meaning of social engineering is to refers to the psychologically and mentality use people to give secret information in the context of information security. A strategy of self-confidence for information collection, fraud, or access to the system, is different from a traditional "con" that it is often one of the more complex fraudulent schemes. That is why in this paper&nbsp; we proposed theoretical framework, which can not only demonstrate its potential for the risk assessment, but it can be sensitive and effective in analyzing a critical and uncertain operational environment that can address the extreme effects of information security.
Survey of Hyponym Relation Extraction from Hyperlinks using Motif Patterns with Feature Combination Extraction Model

This paper presents a method for measuring the semantic similarity between concepts in Knowledge Graphs (KGs) such as WordNet and DBpedia. Previous work on semantic similarity methods have focused on either the structure of the semantic network between concepts (e.g., path length and depth), or only on the Information Content (IC) of concepts. We propose a semantic similarity method, namely wpath, to combine these two approaches, using IC to weight the shortest path length between concepts. Conventional corpus-based IC is computed from the distributions of concepts over textual corpus, which is required to prepare a domain corpus containing annotated concepts and has high computational cost. As instances are already extracted from textual corpus and annotated by concepts in KGs, graph-based IC is proposed to compute IC based on the distributions of concepts over instances. Measuring the similarity between documents is an important operation in the text processing field. This project proposed a new similarity measure. Discovering hyponym relations among domain-specific terms is a fundamental task in taxonomy learning and knowledge acquisition. However, the great diversity of various domain corpora and the lack of labeled training sets make this task very challenging for conventional methods that are based on text content. The hyperlink structure of Wikipedia article pages was found to contain recurring network motifs in this study, indicating the probability of a hyperlink being a hyponym hyperlink. Hence, a novel hyponym relation extraction approach based on the network motifs of Wikipedia hyperlinks was proposed. This approach automatically constructs motif-based features from thehyperlink structure of a domain; every hyperlink is mapped to a 13-dimensional feature vector based on the 13 types of threenode motifs.
Implementation of 3D Animation for Identification of Coral Reefs Based on Android Mobile Application

Coral reefs are underwater ecosystems that consist of a group of coral animals that form the structure of the calcium carbonate, a kind of limestone.Coral reef ecosystems have high productivity and diversity of fauna species.This study aim is to design the Android-based application for identifying the types and species of coral reefs.Android-based application for determining types of coral reef is designed structurally consisting of design models, i.e. flowchart, use case diagram, activity diagram, sequence diagram, class diagram and output design.The research method used to design the identification of coral types is 3D animation technique, action research-based on system analysis, application design, implementation, and testing.The data in this study was obtained by using observation, interview and documentation.The research result is the android application can identify the types of coral reefs in the form of 3D images, text, sound and animation.
Validity of the Gastropods Popular Scientific Book in the Pulau Sembilan Kotabaru Coastal Area for High School Students

The cognitive abilities of Indonesian students are still low based on The Learning Curve in 2013, so the quality of education should be improved. One of them with environmental-based learning. Most Indonesians live in coastal areas, and some use snails as alternative dishes. Therefore, snails in coastal areas can be used as a source of learning. Interest in reading Indonesian students is also low, so the need to develop an interesting book and easily understood so that students are interested to read it. So developed a Book of Popular Scientific-based Diversitas Gastropoda in Coastal Areas. This research is the early stage of development research, which is the validation of popular science books. The purpose of this research is to develop a valid popular science book. Validation is done with three experts by giving a validation sheet of popular science books. Validation data were analyzed descriptively categorization. Suggestions and comments from validators become the reference for product revisions. Validation complete when obtaining minimum category valid. The results showed coherence aspect; legibility; active and passive sentences; method; applications and implications; definitions and explanations; and other styles the device obtains very valid category. Aspects of vocabulary; avoid dubious words; and the format obtains a valid category. Based on the results of this study, the popular scientific books developed have met the rules of popular scientific writing that is interesting and easy to understand, so this popular scientific book can be used by the community and students.
Approximation and metaphor in Italian nominative strategy

This article analyses nominative strategies in the Italian language and deals with miscellaneous cases which cannot be described in terms of direct nomination. In particular, I consider approximation and metaphor as two complementary means used by the speaker to characterize the concept. Approximation and metaphor are semantic categories with a specific system of rules. According to their specific semantic properties, approximatives “stretch” the semantic field of a concept so that it can be applied to different situations, leading to a fuzzy description of the situation; metaphors, on the contrary, clearly identify some aspects of a fuzzy situation so that it can become more comprehensible for the listener. Both approximative and metaphorical operators are used for redefining a concept and for changing its range of applicability. In this article is given a definition of approximatives and metaphors and then a description of their semantic properties, including the pragmatic information they convey. I also give an original classification of approximatives, dividing them in two different groups – graduating and boundary approximatives. Both approximative and metaphorical operators allow speakers to convey their subjective relationship to the described situation: this article analyses the different kind of the speaker’s assessment on the base of the selected operator, approximative rather than metaphor. Approximative and metaphorical cases differ very much depending on the linguistic local culture: in Ukraine, English, Russian and Italian we have different systems of approximatives or metaphors and they convey different meanings. The article also provides a detailed illustration of the assessment process of metaphors related to food in Italian linguistic culture.
Promoting Learner Autonomy in IT English Learning through the Use of Three-dimensional Textbook

The advent of mobile learning platform and E-book is believed to provide an autonomous learning space for language learning. Three-dimensional IT English textbook which includes audiovisual resources, an E-book and an online teaching website makes it possible to learn IT English anytime and anywhere. The aim of this paper is to discuss the significance of learner autonomy and its feasibility in IT English education. The use of three-dimensional textbook can facilitate the application of autonomous learning mode in IT English learning, which will greatly improve the effect of English teaching.
A Deep Learning and Multimodal Ambient Sensing Framework for Human Activity Recognition

Human Activity Recognition (HAR) is an important area of research in ambient intelligence for various contexts such as ambient-assisted living.The existing HAR approaches are mostly based either on vision, mobile or wearable sensors.In this paper, we propose a hybrid approach for HAR by combining three types of sensing technologies, namely: smartphone accelerometer, RGB cameras and ambient sensors.Acceleration and video streams are analyzed using multiclass S upport Vector Machine (S VM) and Convolutional Neural Networks, respectively.S uch an analysis is improved with the ambient sensing data to assign semantics to human activities using description logic rules.For integration, we design and implement a Framework to address human activity recognition pipeline from the data collection phase until activity recognition and visualization.The various use cases and performance evaluations of the proposed approach show clearly its utility and efficiency in several everyday scenarios.
Mining User Profiles from Query Log

This paper introduces a novel method for mining user profiles (e.g., age, gender) using the query log in a search engine. The proposed method combines the advantage of the neural network for representation learning and that of the topic model for interpretability. This is achieved by plugging a parametric Gaussian mixture distribution layer into the neural network. Specifically, it first uses the popular convolution neural network to model the query content, generating a dense vector presentation for each query. Based on this representation, it infers the searching topic of the query, by fitting a Gaussian mixture distribution, and obtains the query topic distribution. Then, it deduces the distribution of topics that the user cares about by aggregating the query topic distribution of all the queries of the user. Profile prediction is performed based on the resulting user topic distribution. We evaluated this framework using a real search engine data set, which contains 40,000 labeled users with age, gender, and education level profiles. The experiment results demonstrated the effectiveness of our proposed model.
Advantages of using interactive board at the classes of Higher Mathematics in technical university

Today the discrepancy between the amount of knowledge that a learner should get according to the program and the time available for this encourages professors to look for productive ways of educational process organization that would help to avoid a decline in the quality of teaching as a whole and increase the degree of information perception in particular as well as contribute to students’ cognitive and creative activity development. Taking into account the global informatization of modern society, especially the fact that usage of information and computer technologies for modern people is not only a part of their everyday life but it also captures many spheres of life of the whole society including the sphere of education, it makes impossible imagining of effective academic activity methods without information technologies active introduction. In conditions of ubiquitous informatization of education the use of modern information technologies in the training process including the use of such a modern computer platform as an interactive board helps to achieve these goals. Application of this innovation device during higher mathematics lessons gives opportunity to improve the process of the subject studying, makes it more intensive, dynamic, informational and graphical and as a result it makes the lessons more efficient. This article describes and justifies the advantages of using of the didactic and technical capabilities of interactive board at the classes of higher mathematics in technical university in comparison with traditional academic discipline teaching.
PROGRAM LITERASI MEDIA DI DESA CIBEUREUM KECAMATAN KERTASARI KABUPATEN BANDUNG

The program was carried out to provide media literacy training for the community of Cibeureum Village, Kertasari District, Bandung Regency. There are several objectives to be achieved in this activity, among others: it is expected to be able to add insight into the public about mass media and social media, improve the knowledge and capabilities of media literacy in rural communities. Media literacy training in Cibeureum Village, Kertasari District, Bandung Regency uses training, lecture, discussion, question and answer and case simulation methods. The conclusions obtained from this media literacy training activity are that people can prioritize maturity in choosing which media to consume, content that is responsible even to the point of being able to criticize media content more intelligently.
Study on Underwater Image Conversion Algorithm Based on Light Refraction Model

Aiming at the problem of image distortion caused by light refraction during underwater imaging, and the conversion error caused by existing image conversion algorithms due to neglecting the secondary refraction of light, an underwater image conversion algorithm based on the light refraction model is proposed in this paper. The algorithm firstly obtains the pixel information of the underwater image, then calculates the corresponding coordinate information of the pixel points in the equivalent air image through the mapping relationship, and finally obtains the equivalent air image through image interpolation. Experimental results shows, compared with the existing image conversion algorithms, the proposed algorithm reduces the average error of u direction from 2.289 5 to 1.213 3, which is a decrease of 47.01%. The average error of v direction is reduced from 3.252 5 to 1.526 3, which is a decrease of 53.07%. At the same time, the mean value of ranging error was reduced from 58.83 mm to 28.88 mm, a decrease of 50.91%。