Reviewerly/exHarmony huggingface dataset:
Adaptive-Skip-TransE Model: Breaking Relation Ambiguities for Knowledge Graph Embedding

Knowledge graph embedding aims to encode entities and relations into a low-dimensional vector space, obtaining its distributed vector representation for further knowledge learning and reasoning. Most existing methods assume that each relation owns one unique vector. However, in the real world, many relations are multi-semantic. We note that a reasonable adaptive learning method for the number of semantics for a given relation is lacking in knowledge graph embedding. In this paper, we propose a probabilistic model Skip-TransE, which comprehensively considers the two-way prediction ability and global loss intensity of the golden triplets. Then based on Skip-TransE, its non-parametric Bayesian extended model Adaptive-Skip-TransE is presented to automatically learn the number of semantics for each relation. Extensive experiments show that the proposed models can achieve some substantial improvements above the state-of-the-art baselines.
Informational cultural description of the future teachermanager in the education system

This article is a review paper about a teacher manager.Authors try to explain that teachers should manage information well and they should also use it efficiently during their work process.The abilities of the use and use of information are the key to increasing the relevance of the need for continuous education in the transition to an information society.Authors did a great job in the literature review in Kazakhstani references on the education management system.A teacher as a manger in the classroom should solve all the issues appeared during the lessons without any problem.They should have problem solving skills.The authors also outline the importance that the teacher should possess informational culture shows the three steps of an informational culture of teacher-manager.This paper also specifies five characteristics of the informational culture of the future teacher.
DEVELOPING AN ADAPTIVE CHINESE NEAR-SYNONYM CORPUS FOR WORD OF MOUTH CLASSIFICATION

Word of mouth (WOM) is the subjective opinion of consumers for a brand, a product or a service.Its impact on consumer's purchasing decision is greater than the marketing activities of a product.Word of mouth classification is an effective means for document organization in an era of big data.However, the existing tasks of WOM classification are mainly dependent on the bag of word (BOW) in the vector space model (VSM), which usually suffers from the curse of dimensionality while dealing with large amounts of documents.We compared characters, context, and homophones, and integrated thesauruses to establish an adaptable Chinese near-synonym corpus.Subsequently, lexical replacement was applied, and the adaptable Chinese near-synonym corpus was created for classifying WOM documents.Two static corpora, the Ministry of Education's Revised Mandarin Chinese Dictionary and the Extended Chinese Synonym Forest, were used as the benchmarks of comparison for the proposed adaptable near-synonym corpus in the classification and evaluation stage.Evaluations were conducted by calculating recall, precision, F-measure, accuracy, and area under receiver operating characteristic curves (AUC).The results indicate that the classification accuracy of the adaptable near-synonym corpus proposed in the research exceeds that of static corpora when used in the fields of movie, leisure and travel, food, and cosmetics.
ANALYSIS OF THEME AND RHEME IN OPINION AND IDEA OF ANALYTICAL EXPOSITION TEXTS WRITTEN BY THE ELEVENTH GRADERS OF SMA N 4 MAGELANG IN THE SCHOOL YEAR OF 2018/2019

One of the important skills to be mastered by the students in learning English is writing skill because it is used to construct an academic text. However, most of the students have difficulties in writing process that will cause them do not produce texts as it should be. The term of textual meaning refers to theme and rheme. Theme and rheme can be used to make a well-organized paragraph in writing. The objectives of this research are to find out the realization of theme and rheme and the types of theme in opinion and idea of analytical exposition texts written by the eleventh graders of SMA N 4 Magelang in the school year of 2018/2019. The subject of this research is the students of XI Science 4 grade of SMA N 4 Magelang in the school year 2018/2019. The type of this research is descriptive qualitative, it allows the writer to make a personal assessment in form of descriptive text. Based on Gerot and Wignell’s theory (1994), there are three types of theme. They are topical theme that consists of marked and unmarked topical theme, then interpersonal theme, and textual theme. The result shows that marked topical theme has the lowest percentage, it is 2.47%. The first mostly applied theme is unmarked topical theme that has 50%. Textual theme has second range that is 38.27%. The last is interpersonal theme, showing the judgment of person, has 9.26% out of 100% percentage of theme.
PAPG – Personalized Anti-Phishing Guard

Security and privacy have been considered a corner stone in all electronic transactions nowadays.People are becoming very cautious when conducting electronic transactions over internet.One of the major issues that frightens them is identity theft.Identity theft might be conducted using phishing techniques that aims to trick the user to provide his credentials in a well-organized tactic.Efforts have been done towards fighting against phishing attacks and hence identify theft.However, most of these efforts are either computationally exhaustive to the electronic device or depend on a third party to perform the task.In this paper, we propose a plugin called Personalized Anti-Phishing Guard -PAPG that is managed personally on the device and is used to guard the user against phishing attacks.The plug-in maintains data locally and may not need to synchronize with a third party.Besides, PAPG depends on the user's feedback to build the local knowledge base that is used to support the decision.The user might also store his profile and reuse it with other devices and from different locations without having to configure it again.
Open Access: Who Pays the Publisher? [President's Corner]

Presents the President's message for this issue of the publication.
A Roadmap for Prescribed "Blend- Digit" Personalized Learning - A Collaborated Responsive Approach to Succeeding Generations in the Info Global Age

Different students have different by nature personality types, cognitive structures and processes, and behavioral modes.Hence, they have no similar aptitudes, needs, purposes, comprehending speeds, academic fields, timelines and locations for learning.As such, to gather "whole" students or large groups in extended large halls or rooms resembling the "Factory Model" is a dire organizational mistake committed against schooling generations since 550 years ago as the German pioneer Guttenberg invented the printing machine 1445.Education systems (ES) instead of employing the new 'discovery' for the welfare of learning generations through giving each student a book, a working manual or handouts to learn individually and in small peer groups as the case of contemporary ICTs, ESs exploited the 'event' for economic benefits.Eventually, they considered the future of generations, which is someday, would be the "future society", a business trade adopting the philosophy and features of the "Factory Model".Thus, the "whole group method" was born and perpetuated in schooling until the beginning of "Third Millennium".Needless to indicate that the 550 years extended of massive learning had caused the loss of millions of the gifted and superiors (who possibly could be future societal leaders and academic pioneers), of the normal (who possibly could be better professionals and skilled leading artisans), and of low achievers (who possibly could be more successful survivals enjoying more dignified living).This Article presents a prescribed ICTs "Blend-Digit" Personalized Learning Approach, which is responsive to individual students needs while adhering to the living demands of Info Global Age.
SPONCER (Smart Pond Controller) Pengendali Lingkungan Air Kolam Guna Optimalisasi Produksi Ikan Sidat di Budi Fish Farm, Ngaglik, Sleman, Daerah Istimewa Yogyakarta

Eel (Anguilla sp.) Is one of the best-selling fish in international markets such as Japan, Hong Kong, Germany, Italy and several other countries. For example, in Japan, which has as much as 600 tons of eel needs every month, while Indonesia is only able to meet eel needs of 500 tons per month. Eel is susceptible to water environment conditions such as temperature and pH. Eel has ideal conditions, namely 27 ℃ -29 ℃ and pH 6-9. Inappropriate conditions will trigger death. SPONCER is an intelligent eel fish technology investment equipped with temperature sensors, pH sensors, arduino, photovoltaic cells, and water filters that function to maintain optimal temperature and pH for eel fish life automatically. SPONCER can reduce eel mortality by 57.14% so that it can contribute to increasing eel productivity in the international market. Keywords: Anguilla sp., Innovation, Automation
Readability of HIV/AIDS Information Manuals in Ghana

This paper examined the readability of some medical information documents for HIV/AIDS patients in Ghana. The SMOG readability formula was used to determine the reading levels of the documents which were obtained through convenience sampling technique. One sample Ttest was used to determine whether there were statistically significant differences in the readability of the sampled HIV/AIDS literature compared to a standard 8th grade recommended for public documents. The bootstrapping technique was employed in this evaluation to ensure robust estimates of significant or p-value, standard errors and the confident intervals. The study revealed that the leaflets were generally difficult to comprehend when compared to the standard readability score of public reading materials. The study concluded that it is prudent such documents are written in plane language in order that the target readers would benefit from the information carried by these documents.Key Words: readability, healthcare, HIV/AIDS, SMOG, patients, leaflets
Harmonization of Critical Information Infrastructure Objects Threats

This paper discusses the issues of security threat modeling for critical information infrastructure facilities.An analysis is made of the applicability of various approaches to the construction of threat models highlighting the need for harmonization (ensuring internal compliance) of the main aspects of security, including threats.It justifies the expediency of using the "Common Criteria" methodology and SDL procedures for building harmonized threat models.The experience of using such an approach to create models of threats for software-defined networks and the protection profile of an SDN controller is discussed.
Freeware e-Class untuk Memudahkan Siapa Saja Mengklasifikasi dan Memahami Sistem Klasifikasi Berbasis DDC

Various definitions of classification were put forward by many experts. But most of all, classification is a system for organizing knowledge (for organizing knowledge). Likewise, with the DDC-based classification, there have been various applications both free and paid. In this writing only will be discussed about e-Class or Electronic Classification. The existence of e-DDC and e-Class is also very suitable for all types of libraries starting from school libraries, public libraries, special libraries, even college libraries, especially its free nature.
PENGEMBANGAN APLIKASI MOBILE LEARNING PADA MATA KULIAH PEMROGRAMAN CLIENT SERVER UNTUK MENINGKATKAN PRESTASI BELAJAR MAHASISWA

ABSTRACT- This study aims to design interactive multimedia for computer client server programming with Android-based so that it can be accessed via smartphone. Client server programming course is one of compulsory subjects in Informatics Engineering course. With the realization of multimedia is expected to shorten the learning time of students, and students can more easily understand the material of client server programming rather than through the tutorial tutorial as usual, and is expected to improve learning achievement. This multimedia realization chose to use the Android operating system to be accessible through smartphone that is currently widely used by the students. This interactive multimedia presents theories, simulations and problems as the evaluation of client server programming learning. The results of this interactive multimedia will be tested through the test instrument to the students on the study program of Informatika Technique of Asahan University. Instrument test used to know student achievement. Test instrument used is a questionnaire instrument to determine the quality of interactive multimedia computer network courses. Multimedia is designed using the main software such as Macromedia Flash, Macromedia Director, and Macromedia Authorware and Eclipse 4.2 along with supporting applications. The material to be delivered on interactive multimedia is tailored to the syllabus of client server programming courses on Strata 1 level. The expected research output is in the form of teaching materials for the enrichment of client server programming subjects and multimedia technology and will be socialized through the national seminar in the field of informatic engineering. Keywords - interactive multimedia, Android, client server programming
A Data Mining approach to Deal with Phishing URL Classification Problem

Data mining is readily growing and accepted technology in recent years.It is utilized for finding instant decisions by analyzing the historical records.A formal decision making technique can also be helpful for information security.In this presented work the demonstration of a data mining application is provided.The proposed data mining application contributes on the information security.Therefore URL classification problem is taken in consideration.In this context we can apply here the any supervised learning algorithm but in this work the association rule mining based technique is proposed for solving the URL classification.That technique is used for analyzing the URL patterns of two kinds of class labels i.e. phishing and legitimate.In this context a rule based classification technique is proposed.That technique is computing the association rules and we can use these patterns to classify the URL data.The Idea is taken from [1] where apriori algorithm is implemented for generation and classification of phishing URLs.Apriori algorithm is computationally complex and requires significant amount of time and memory for generating candidate sets.Therefore we usages the FP-Tree algorithm which efficient develops the association rules with less resource requirements.The system can be used for designing the phishing tool bars.This technique is used with the phish tank dataset with different set of data for experimentations.The obtained results shows the proposed technique requires less amount of time and memory.In near future it is tried to reduce time and improve the accuracy of the proposed phishing URL classification system.
Semantic Level Errors of Students’ Scientific Work From Various Indonesian Island in the City of Madiun

This study aims to explain and describe the language errors of semantic level in students’ scientific work from various Indonesian islands in the city of Madiun. The study was conducted at two major universities in Madiun City. The type of research used in this research is a descriptive qualitative research through observation and field note techniques as data collection techniques. The result of the data is students’ assignment papers. Data analysis techniques used in this study issharing methods or distribution methods with advanced techniques in the form of expansion (expansion) techniques and changing forms. The conclusions of this study are: (1) Usage error of similar words, consisting of (a) 88 errors of cognate pairing, (b) 79 errors of ambiguous pairing and (c) 65 errors of contended pairing. (2) Word choice (diction) errors, which consist of (a) 87 errors because do not meet the truth requirements, (b) 89 errors because do not meet the accuracy requirements, and (c) 90 errors because do not meet the standard requirements.In addition, errors in the word choices or diction occur due to factors influenced by the language that was mastered first.
A Novel Thought of Pruning Algorithms: Pruning Based on Less Training

Pre-training of models in pruning algorithms plays an important role in pruning decision-making. We find that excessive pre-training is not necessary for pruning algorithms. According to this idea, we propose a pruning thought—Incremental pruning based on less training (IPLT). We can combine IPLT with almost all existing pruning algorithms. Compared with the original pruning algorithms based on a large number of pre-training, the modified algorithms (by IPLT) has competitive compression effect. On the premise of ensuring accuracy, the pruning algorithms modified by IPLT can achieve 8x-9x compression for VGG-16 on CIFAR-10 and only needs to pre-train few epochs. For VGG-16 on CIFAR-10, we can not only achieve 10x test acceleration, but also about 10x training acceleration. At present, the research mainly focuses on the compression and acceleration in the application stage of the models, while the compression and acceleration in the training stage are few. We newly proposed the thought of IPLT that can compress and accelerate in the training stage. It is novel to consider the amount of pre-training required by pruning algorithm. Our results have implications: Too much pre-training may be not necessary for pruning algorithms.
A Privacy Preserving Data Mining Technique for Preventing Data Discloser and Leakage

The data is an essential element in any business domain, discloser or leakage of sensitive and private data to others can create a number of social and financial issues.In this context the data mining is shifting towards the privacy preserving data mining.In different real world conditions the end data owner submitted their private and confidential data to a business domain.But due to cretin requirements of business intelligence and marketing research the data discloser is required.In these conditions the discloser or leakage of the actual data owner's data can create various issues.In this context the proposed work is intended to work with the privacy preserving data mining environment to preserve the data privacy.The proposed data model consists of the three main contributions first designing the noise based data transformation approach.Secondly the data model help to prevent the data discloser to another party.Third the technique by which the data publishing and it's utility in other public domain becomes feasible.Therefore the proposed work introduces a lightweight privacy preserving data model that combines data from different data sources.Include the regulated noise to entire dataset to modify the values.Process the data using data mining model for finding combined data based decisions and help to publish the data for other marketing and research purposed without disclosing the actual data values.The implementation of the proposed technique is given using JAVA technology and their performance is measured.The obtained results demonstrate the proposed work is helpful for the PPDM based data processing and publishing.
EFEKTIFITAS PENGGUNAAN B AHASA LEMBAK DALAM PENYAMPAIAN MATERI PELAJARAN OLEH GURU PADA SISWA KELAS VII SMP NEGERI 1 TANJUNG TERDANA BENGKULU TENGAH

The problem of this study is how the effectiveness of the use of the Lembak language in the delivery of subject matter by teachers to Class VII Students of Tanjung Tanjung State Junior High School Terdana Bengkulu Tengah. The purpose of this study was to find out in detail the effectiveness of the use of Lembak language in the delivery of subject matter by teachers to Grade VII Students of SMP Negeri 1 Tanjung Terdana Bengkulu Tengah, this study used a descriptive method using a quantitative approach. The population in this study were students in grade VII Tanjung 1 State Middle School There were 117 people in Central Bengkulu. In this study the sample was taken as much as 25% of the population so that the sample amounted to 29 people. Data collection techniques in this study used observation, questionnaire, and documentation techniques. Data analysis techniques were carried out with the help of interpretation based on percentage calculation (proportion interpretation) and using the help of the Likert Scale. The results of the study show an explanation of the subject matter delivered by the teacher through the Lembak language to students in grade VII of Tanjung 1 Middle School SMP Menghana Bengkulu Tengah can be said to be effective. This is based on the results of the average score of 59.59 if consulted with the Likert scale used, the score is in the interval 51-62 in the effective category. The use of Lembak language by the teacher according to respondents can influence the achievement of learning objectives, the subject matter can be understood by students, the material is mastered by students, students have better learning outcomes and students are motivated to learn.
3D face landmarking with denoise auto-encoder networks

3D Facial landmarking plays an important role on 3D face recognition and face expression recognition. However, the most of methods underperform when faces have occluded region such as hair, glasses or finger. To solve this problem, a coarseto-fine method is proposed, containing several denoising auto-encoder networks (denoted as DANs). DANs not only can recover the lost information but improve the accuracy of landmarking. Tests based on Bosphorus dataset show a 100% of good landmarking under 6mm precision of mean error, which demonstrates that our algorithm achieves the state-of-theart performance.
Self-determination of Personality of Creative Beginning in Choreographic Context

The article analyses the structure of personality self-esteem of representatives of art professions. As an object of the art profession, this research considers the choreographer profession. A feature of the choreographic artist's profession is the directivity on the plastic expression of a given artistic image. This research analyses the process of self-determination of a creative individual in the process of becoming a future professional. The novelty of the research is that choreography is understood not as an innate characteristic of a person, but as an acquired quality. In this research, the researcher shows the methodological techniques, functions and general parameters of the model, which can contribute to the disclosure of creative initiative on the part of the representative of the creative profession. The researchers considered a professional environment that allows the formation of professional qualities in an individual who is in a creative search. A correlation model is presented, which allows speaking about the readiness of an individual for professional self-realisation.
Classification Assisted Segmentation Network for Human Parsing

In human parsing task, it is important to fully exploit global and local structure information and get accurate and coherent results. In this paper, we propose a classification assisted segmentation network, in which a multi-label classification task can obtain the probability of each class in an image that used to learn better weights for parsing task. Our method takes advantages of both the global information from classification and the detail information from segmentation. Experiments demonstrate that our method could efficiently avoid the confusion between similar categories and get more reasonable results. Particularly, it significantly boosts performances of rare categories such as scarf, belt and sunglasses with mean IoU increased by 6.29%.