Reviewerly/exHarmony huggingface dataset:
Based on the study of dormitory sound monitoring system

Abstract In order to bring convenience to the management of college dormitory, through the continuous communication and investigation of college students and administrators, and the continuous practice and research on the system functions, a set of student dormitory assistant management system based on sound monitoring is developed to replace the purely artificial way to manage the dormitory of boarding school. This system includes mobile terminal, hardware terminal and server, and the combination of the three, as far as possible to achieve real-time monitoring of dormitory sound, and timely feedback, so that students can abide by the discipline in the dormitory, have a good rest environment purpose. The hardware terminal of the project is able to identify the source of the sound by detecting the decibel value of the sound and artificial intelligence. There is no recording function, so there will be no privacy issues involved.
The Construction of College English Follow-up Courses Based on the Supra-disciplinary Theory

The follow-up course of college English is an important subject in the College English reform. The supra-disciplinary perspective provides a practical solution to the current predicament of college English teaching. It is helpful in the aspects of transdisciplinary curriculum group, course mode, the teaching model, the evaluation system, the supra-disciplinary faculty.
Analyzing Agile Project Success Criteria from a Practitioner Perspective

Problem: Researchers argue that the definition of project success is difficult to pinpoint as it varies depending on both individual perspectives and situational factors such as the organization an ...
Ecological Economic Development Based on Supply Chain in the Era of Big Data

Abstract Under the background of the active development of ecological economy in China, the transition from traditional supply chain to ecological supply chain has become a new topic of supply chain management. The use of big data technology is not only an inevitable choice for supply chain, but also an important guarantee for the development and innovation of supply chain. The purpose of this paper is to study the ecological economic development based on supply chain in the era of big data. This paper firstly analyzes and studies the development problems of enterprises in the supply chain, and expounds the significance of applying big data technology to ecological supply chain. Then it introduces the connotation and composition of ecological supply chain. Then, based on the gradient promotion decision tree algorithm, a cost sensitive xgboost algorithm, called cs-xgboost algorithm, is proposed in this paper. The experimental results show that it is of practical significance to apply the decision tree algorithm proposed in this paper to the risk prediction of ecological supply chain. In this paper, AUC and ACC are used as performance indicators to test the cs-xgboost algorithm, and the value of AUC of the algorithm is 0.9.
Increasing efficiency of physics education through elective courses of “Physics Fundamentals of Information Security”

The object of this research is the increase in motivation of students towards learning physics as one of the most complex sciences of school curriculum. The subject of this research is the elective course of &amp;ldquo;Physics Fundamentals of Information Security&amp;rdquo; developed by the author, based on the cross-disciplinary integration of such disciplines as physics, informatics, and information security. An extensive analysis is conducted on textbooks on physics and scientific methodical sources of literature on information security. Special attention is given to methodological questions of teaching this elective course, structured on application of the method of problem-based learning as an optimal method for search and acquisition of new knowledge and active learning activity. The scientific novelty consists in development of the elective course &amp;ldquo;Physics Fundamentals of Information Security&amp;rdquo;, which has applied aim. The laboratory works developed by the author in such way that the students learn the laws of physics in the course of completing the research. They first see &amp;ldquo;how it works&amp;rdquo;, and then make conclusions as formulas, after which they solve the theoretical tasks on these topics, understanding entirety of the depth. This course is registered in Rospatent as the database Electronic Educational Resource on the Discipline &amp;ldquo;Physics Fundamentals of Information Security&amp;rdquo;. The author pays particular attention to implementation of this course into educational process, as well as describes the methodological system of teaching and the pedagogical experiment that proves the effectiveness of this course.
Towards an Architecture for the Interoperability of Hospital Information Systems in Burkina Faso.

The successful introduction of ICTs into medical practice is a key factor in improving the performance of any health system for both patients and healthcare professionals. In Burkina Faso, many hospital information systems (HIS) have been developed and are already widely used in large health centers with proven efficiency. To improve the quality of patient care, these hospital information systems should exchange information. Interoperability is one of the privileged ways to improve the integration of different systems because nowadays a HIS is no longer just a single monolithic software system, which is run on a single machine. This paper presents a semantic interoperability architecture, which is based on a mediation approach. The mediator implements local domain ontologies for each HIS, a knowledge base, and a referential ontology which is used as a semantic repository and web services.
Application of Computer Animation Design Technology in Taijiquan Internet Communication

Abstract With the popularization of computer animation techniques in the application fields, traditional cultural communication modes are gradually combined with modern computer animation techniques to develop new communication modes. As a cultural brand of the Chinese nation and treasure of Chinese martial arts, Tai Chi, is a precious cultural resource in our country. Through the analysis of computer animation techniques and traditional cultural communication modes, a communication mode for Tai Chi culture based on computer animation techniques is proposed, which plays a certain guiding role in the communication of Tai Chi culture.
A Study of Google Translate Translations: An Error Analysis of Indonesian-to-English Texts

Nowadays, internet technology allows everyone to access information from all corners of the world anytime and anywhere. One of the tool that helps internet users to find information effectively is Google. Google currently offers a variety of applications, one of which is Google-Translate. Google-Translate is used to translate from the source language to the target language. However, the results of the translation are often inappropriate or have some errors. The error analysis always occurs in grammar and selection of inappropriate words. Therefore, the objective of this research is to find out whether there are translation errors and to find out the types of translation errors that occur in the translation results in Kompas news text. The data analyzed are the news text of Kompas in Indonesian translates into English by Google-Translate. This study used the descriptive qualitative method. To examine the validity of this research the researchers use triangulation. From the data analyzed, there are 25 translation errors in Kompas news text. The dominance of translation error occurs in translation errors on the deviation of meaning where the number of translation errors is 16.
THE ROLE OF ENTREPRENEURIAL ORIENTATIONTO MARKETING IN DEVELOPING SMALLENTERPRISES IN JORDAN

The study aimed to know the role of entrepreneurial orientation to marketing with its topics(marketing risks, marketing creativity, leadership of marketing opportunities, value creation) on developing smallprojects with its axes (growth, generation of creative ideas, and efficiency of employment) in Jordan. Thedescriptive analytical approach was applied in this study, and the community consisted of (200) small projectsthat adopt the pioneering marketing approach in the city of Amman and its environs and registered with theJordanian Foundation for the Development of Economic Projects, knowing that the total number of these projectsis (4788) projects up to a year ( 2017), while the study sample consisted of managers and owners of small projectsoperating in the city of Amman that apply the pioneering marketing approach in developing their performance,based on an exploratory study conducted by the researchers, where (200) projects were identified, and (390)singles were polled From a suitable sample, it was interviewed during the questionnaire distribution period, andit consisted of the managers and owners of the targeted small projects that the conditions were applied to, and(370) questionnaires were retrieved, and after their audit it was found that they are valid for statistical treatment,i.e. (95%) of the total distributed questionnaires. After the statistical treatment, the study showed many results,including the following: The study showed that the general mean arithmetic of the study sample responses on theaxes of the marketing leadership trend reached (3.64) and according to the approved scale, this degree is average,that the highest value among the arithmetic means in the axes of the marketing leadership direction The axis ofmarketing risks was, as the arithmetic average value reached (3.72) and this value is considered high, and it rankedfirst, and in light of the results, the study presented a set of recommendations, including: The necessity of keepingpace with the requirements of the labor market by the small projects that were studied where the study proved Thepioneering marketing approach with its themes (marketing risks, marketing creativity, leadership of marketingopportunities, value creation) is important in the process of developing those projects and in all its axes (growth,generation of creative ideas, efficiency of operation).
AN APPROACH FOR DETECTING PHISHING ATTACKSUSING MACHINE LEARNING TECHNIQUES

In present days ,websites are main responsible for the rapid growth of criminal activities in the internet andcorresponding activities which results in the many illegal things. So there are many preventive steps to be taken to stopthese kind of activities. Here we propose a model which will classify the given URL into any of the three possibleclasses ,.i.e Benign, spam and malware. Our model will the detect the classification of the URL without using anywebsites content.
Translate Japanese into Formal Languages with an Enhanced Generalization Algorithm

In this paper, we propose the extension of the semi-automated semantic parsing platform: NL2KR to Japanese. Japanese is an agglutinative language and it is difficult to assign the meaning of each word since different meanings are created using a single root-word. We introduce two algorithms, the Phrase Override and the enhanced Generalization. The Phrase Override algorithm gives the same feature of the original NL2KR: Syntax Override that adjusts the output Combinatory Categorial Grammar (CCG) Parse tree structure from its English CCG parser. To extend the other languages, however, it is needed to implement the CCG parser for the other languages. Japanese CCG Parser is provided, and the Phrase Override gives the way to adjust the generated CCG parse tree structure from the Japanese CCG parser. The Generalization used in NL2KR generates the meanings of missing words by applying missing words. Our proposing enhanced Generalization algorithm uses the semantically similar words of the missing word and apply the templates of these words to generate the missing word’s meanings. The evaluation result shows that this approach improves the accuracy of not only Japanese but also English with the smaller learned lexicons. For the evaluation, we provide new data corpora for Japanese. GeoQuery corpus is translated several languages including Japanese but the Japanese GeoQuery is a Japanese transliteration. We provide the Japanese translated GeoQuery and this is the first Japanese corpora. Our proposed approach can extend to other agglutinative languages such as Turkish, Finish, and Esperanto when a CCG parser is available for them. Our platform is Java base and it does not depends on the machine environment.
GRAPH BASED ENRICHED KEYWORD EXTRACTION WITH NODE WEIGHT MECHANISM FOR CYBER CRIME JUDGEMENT DATABASE

In the past decade the keyword extraction phase is handled manually with the human resources. This procedure is time consuming and human error leads to uncertainty. On the other hand, Judgment cases the automatic keyword extraction leads to an extensive level of computational performance. This paper Graph based Enriched Keyword Extraction model, which undergoes three different process namely Pre-Processing, Representation of words in graph-based form and Keyword Extraction. Performance of this model evaluated using illustrative example. The result shows that the proposed model extracted keywords effectively and significantly compared with standard performance metrics and existing algorithms.
Statistics and Machine Learning Experiments in Poetry

This paper presents a quantitative approach to poetry, based on the use of several statistical measures (entropy, information energy, N-gram, etc.) applied to a few characteristic English writings. We found that English language changes its entropy as time passes, and that entropy depends on the language used and on the author. In order to compare two similar texts, we were able to introduce a statistical method to asses the information entropy between two texts. We also introduced a method of computing the average information conveyed by a group of letters about the next letter in the text. We found a formula for computing the Shannon language entropy and we introduced the concept of N-gram informational energy of a poetry. We also constructed a neural network, which is able to generate Byron-type poetry and to analyze the information proximity to the genuine Byron poetry.
Robust Learning against Logical Adversaries.

Test-time adversarial attacks have posed serious challenges to the robustness of machine learning models, and in many settings the adversarial manipulation needs not be bounded by small $\ell_p$-norms. Motivated by semantic-preserving attacks in security domain, we investigate logical adversaries, a broad class of attackers who create adversarial examples within a reflexive-transitive closure of a logical relation. We analyze the conditions for robustness and propose normalize-and-predict -- a learning framework with provable robustness guarantee. We compare our approach with adversarial training and derive a unified framework that provides the benefits of both approaches.Driven by the theoretical findings, we apply our framework to malware detection. We use our framework to learn new detectors and propose two generic logical attacks to validate model robustness. Experiment results on real-world data set show that attacks using logical relations can evade existing detectors, and our unified framework can significantly enhance model robustness.
Advances in research on internal and external factors that guide adolescents' reading and learning on the Internet

espanolLos articulos de este numero especial — bajo el titulo Como leen y aprenden los adolescentes en la red: factores internos y externos — ofrecen nuevas y convincentes evidencias empiricas sobre una serie de factores internos y externos que guian la lectura y el aprendizaje de los adolescentes a traves de Internet. En este articulo introductorio se ofrece una breve sinopsis de los resultados y las interpretaciones de los articulos que componen este monografico. A continuacion se establece una linea de coherencia entre los resultados y las interpretaciones de dichos articulos y el contexto mas amplio de la investigacion relevante. En su trazado se diferencia entre los factores que parecen fomentar o debilitar distintos aspectos de la lectura y el aprendizaje utilizando recursos de Internet. Por ultimo, se discuten siete direcciones futuras relevantes que emergen del analisis y la sintesis de las ideas expresadas en estos articulos, en el contexto mas amplio de la investigacion relevante. Espero que este comentario estimule nuevas lineas de investigacion dirigidas a desarrollar condiciones que apoyen la lectura en linea de una nueva y diversa cohorte de adolescentes. EnglishArticles in this special issue — How adolescents read and learn on the Web: internal and external factors — provide compelling new empirical evidence on a suite of internal and external factors that guide adolescents' reading and learning from Web resources. This commentary first provides a brief overview of the findings and interpretations from each of the constituent articles. It then builds coherence amongst the findings and interpretations across the articles and in relation to the broader extant research literature. The organization differentiates which factors appear to promote and which factors appear to undermine different facets of reading and learning from Web resources. Finally, seven important future directions are discussed that emerged from analysing and synthesizing ideas presented across the articles in combination with the extant research literature. The hope is that the commentary stimulates research directions moving forward, with mindfulness towards developing conditions that support online reading for a host of different adolescent readers. (English) [ABSTRACT FROM AUTHOR]
Analisis Faktor-Faktor Kesulitan Belajar Mahasiswa pada Mata Kuliah Manajemen Keuangan di Program Studi Pendidikan Ekonomi Fakultas Keguruan dan Ilmu Pendidikan Universitas Batanghari Jambi

This study aims to determine (1) the description of student learning difficulties in the Financial Management course in the Economic Education Study Program of the Teaching and Education Faculty of Batanghari University, Jambi, and (2) the factors of student learning difficulties in the Financial Management course in the Educational Study Program Economics of Teacher Training and Education Faculty, Batanghari University, Jambi. This type of research is descriptive research with a quantitative approach. The study population was students of the Economic Education Study Program Semester IV and VI Academic Year 2018/2019, totaling 48 people. The sampling technique is saturated sampling, so that the entire population is made into a research sample. The results showed that (1) the learning difficulty variable was in the high category with an average of 4.32 and the Respondent's Achievement Level (TCR) of 86.43, and (2) There were 10 (ten) dominant factors affecting student learning difficulties, i.e. (a) Factor 1 which is given the Psychological Factor identity, which consists of statement items F3.2, F3.3, F4.1, F4.2, F5.2, F5.3, F5.4, and F5.5, (b) Factor 2 which is given the identity of the State of the Building, which consists of statement items F11.1 and F11.2, (c) Factor 3 which is assigned the identity of Peer Environment, consisting of statement items F14.1 and F14.2, ( d) Factor 4 which is given the identity of Physical Factor, which consists of statement items F1 and F2, (e) Factor 5 which is given the identity of Lecturer Competence, which consists of statement items F9.1, F9.3, F9.4, and F9. 5, (f) Factor 6 which is given Family Factor identity, which consists of statement items F6.2, F7.1, F7.2, F8.1 and F8.2, (g) Factor 7 which is given Identification of Able Discipline s, which consists of statement items F12, (h) Factor 8 which is given the Identity of Learning Resources, which consists of statement items F10.1, F10.2, F10.3, and F10.4, (i) Factor 9 which is given an identity Mass Media, which consists of statement items F13.1 and F13.2, and (j) Factor 10 which is given the Learning Habit identity, which consists of statement items F13.3.
Open Set Domain Adaptation with Multi-Classifier Adversarial Network.

Domain adaptation aims to transfer knowledge from a domain with adequate labeled samples to a domain with scarce labeled samples. The majority of existing domain adaptation methods rely on the assumption of having identical label spaces across the source and target domains, which limits their application in real-world scenarios. To get rid of such an assumption, prior research has introduced various open set domain adaptation settings in the literature. This paper focuses on the type of open set domain adaptation setting where the target domain has both private (`unknown classes') label space beside the shared (`known classes') label space. However, the source domain only has the `known classes' label space. Prevalent distribution-matching domain adaptation methods are inadequate in such a setting that demands adaptation from a smaller source domain to a larger and diverse target domain with more classes. For addressing this specific open set domain adaptation setting, prior research introduces a domain adversarial model with an empirical fixed threshold which lacks at handling false-negative transfers. We propose a multi-classifier based weighting scheme for the adversarial domain adaptation model to address this issue and improve performance. Our proposed method assigns distinguishable weights to target samples belonging to the known and unknown classes to limit false-negative transfers, and simultaneously reduce the domain gap between shared classes of the source and target domains. A thorough evaluation shows that our proposed method outperforms existing domain adaptation methods for a number of domain adaptation datasets.
Dokumentasi Literatur Kebudayaan Kutai dalam Mendukung Literasi Kutai Bersama Dinas Kearsipan dan Perpustakaan Kutai Kartanegara

Documenting literature, especially relating to the culture of people, its important in the area of the municipal and library services. Culture as part of efforts to maintain the identity of a society or region needs to be preserved in some way by way of documenting both the literature available to people, in the form of reference books and research results. Nor did it shirk its efforts to support literacy movements in the districts, especially the Kutai Kartanegara district together with the Office of Archives and the Kutai Kartanegara Library. The literacy movement itself began in 2016 has been activated by the Ministry of Education and Culture as the No. 23 of 2015 concerning Growth of Character. The strategy in supporting Kutai literacy in this service is first, through access to reading material in the nearest community library, namely by providing cultural-themed reading material in the form of print to increase the number and variety of quality learning resources. Second, local culture and history rewrite, and involving universities to expand and strengthen the public. Thus, the Kutai cultural literacy can growth and be a reference to both communities, academics, observers and researchers.
USAGE OF MOBILE PHONES AS A PART OF STUDYHABITS OF STUDENTS WITH SPECIAL REFERENCETO CHANDIGARH UNIVERSITY

It is a good habit to read books but now a days mobile reading habit has increased in all thestudents. In the case of undergraduate students, using fourth generation network mobile is in current trend. Asthe world is becoming more competitive, knowledge of technology is very crucial to sustain in any field of work.It has resulted in a big change in online reading, Web searching, learning approaches and research area. So, mainpurpose of this paper is to know the advantages of technology along with the limitations and various issues ofthe mobile readers particularly undergraduate learners.