Reviewerly/exHarmony huggingface dataset:
Integrating the power of social media dataset impact in medical diagnosis

Technology gives consumer the power to investigate products to label and criticise in equal measure, and more. The emergence of internet-based social media has made it possible for one person to communicate with public about products. Many companies have pages on social networks to complement the information held about products, feedback about products. This paper is discusses about the dataset used in this work for medical diagnosis, experimental scenario and also about obtained result and discussion of the proposed system and reason for achievements on decision making process. The proposed algorithms applied to the dataset from JAVA code and it contains tools for data analysis and predictive modelling. The input dataset of the WEKA are used in the form of CSV file; the performance comparative analysis between the proposed rules-based classifier. The performance of the proposed hybrid behaviour analysis model provides better performance than other individual classifier
태권도 라이프스킬 교육 모델 탐색

Purpose: This study presented the concepts of positive youth development and life skills, the life skills development model, and expanded into the life skills model for Taekwondo education. Methods: Based on the critical review of the literature regarding life skills and positive youth development theory, and meetings with experts, the life skills model for Taekwondo education was offered to apply to Taekwondo fields. Results: The model of life skills for Taekwondo education was composed of four stages; program design, education, acquisition, and transfer stage, respectively. First, the program design stage consists of structured and systematic Taekwondo education programs. Second, the education stage provides continuous and intentional feedbacks to support the students’ basic needs. Third, in the acquisition stage, students internalize life skills through satisfying basic needs as the result of basic needs support. Finally, in the transition stage, students are expected to generalize life skills learned through Taekwondo into a daily life. Conclusion: The life skills model for Taekwondo education reflected indicated the procedures and key contents of Taekwondo character education and presented ideas for practical application on site.
Give me the Gimlet! Using Qualitative and Quantitative Information to Improve Statistics Reporting of Reference Transactions at the University of Louisiana at Lafayette

Reference transaction statistics give insight into the needs of library users and help libraries prove their value within their institution. Collecting this data has long been an important aspect of librarianship. Historically, most libraries use paper tally sheets where librarians indicated each question asked with a mark. While paper systems are easy to implement, they provide little information about the nature of questions asked by library users. The University of Louisiana at Lafayette’s Edith Garland Dupre Library replaced their traditional paper recording method with web-based statistics tracker Gimlet in 2016. Gimlet data reports for reference transactions occurring at the library’s reference desk and those via instant message from June 2015 to June 2018 are presented and analyzed. In addition, a newly developed coding scheme was applied to transactions to ensure the accuracy of information. This article discusses the advantages and disadvantages of this change, innovations in reporting reference transactions in the Reference and Research Services department, and topics for further study.
INFORMATION SEEKING BEHAVIOUR OF PRIVATE SCHOOL STUDENT IN KENYA

Information seeking behaviour is the collection of actions which people take to identify, seek, evaluate, select and use information to satisfy their information needs. People seek information to enable them to deal with a current need or build their knowledge base. Private school students in Kenya have unique demographic and psychographic attributes defined by their age and geographical contexts. These attributes influence their information needs as well as information seeking behaviour. This study analysed the demographic and psychographic attributes of private school students in Kenya as well as investigated the students’ information needs and information seeking behaviour. The study was conducted as a descriptive survey. Data was collected from 103 students using self-administered questionnaires hosted on Google Forms. The findings indicate that the majority of the students used the library at least once a month. Similarly, most of the students used the library to support their class work. The Internet was the most important source of information from which the majority of the students began their information search. Most of the students were disappointed, frustrated or confused while using the library. Nonetheless, they often got the information they need and perceived the library as useful.
A Proposal for a Two-Way Journey on Validating Locations in Unstructured and Structured Data

The Web of Data has grown explosively over the past few years, and as with any dataset, there are bound to be invalid statements in the data, as well as gaps. Natural Language Processing (NLP) is gaining interest to fill gaps in data by transforming (unstructured) text into structured data. However, there is currently a fundamental mismatch in approaches between Linked Data and NLP as the latter is often based on statistical methods, and the former on explicitly modelling knowledge. However, these fields can strengthen each other by joining forces. In this position paper, we argue that using linked data to validate the output of an NLP system, and using textual data to validate Linked Open Data (LOD) cloud statements is a promising research avenue. We illustrate our proposal with a proof of concept on a corpus of historical travel stories.
Studi Identifikasi Dini Diagnosa Klinis Probelm Seld (Slow Expressive Language Development) Pada Anak Melalui Metode Pra (Parent Reported Assessment)

Language delay is one indicator of neurodevelopmental problems during the period of child development. Research shows that 90% of children aged 24 months have a minimum vocabulary of 40-50 words and about 85% combine words and are identified as having a delay or Slow Expressive Language Delay (SELD). Using the assessment of the Parent Reported Assessment (PRA) results obtained higher results than through other assessments. The purpose of the study was to identify early clinical diagnoses of SELD through Parent Reported Assessment. The research method used in this study was interviews and reported results from parents based on the scale of expressive language development of children aged 0-5 years. The study was conducted at TK Aisyiyah 3 Pontianak and TK Bina Insan Pontianak. The study population in the sub-district of Southeast Pontianak and the study sample were 20 parents from both TK. The results showed that 30% of children's expressive language abilities were in sufficient category while 70% of children's language development was in the good category. based on the Parent Assessment Report that language skills in subjects at the age of 2 years had the highest score on the development of expressive language constraints, namely the acquisition of a score of 57. Then at the age of 3 years with a score of 32 and age 5 with a score of 24. identifying SELD between 24 months and 36 months is commonly used: 1) low expressive vocabulary (less than 40-50 words, and 2) no combination of words. Keywords: Identification, SELD, PRA
Literacy of Croatian vocational school students in school assignments and texts written in new media in leisure time

Communication by means of new media inevitably leads to changes in language that are reflected in a new type of discourse. The main features of this discourse are the use of abbreviations, emoticons, dialecticism, anglicisms, neologisms, vulgarisms, and profanities. This way of writing, however, is often seen as writing with a lot of errors, which then have a negative influence on literacy in general and, particularly, on the literacy of young people. Therefore, during 2016, the authors of this article conducted a research study of the real literacy of young people analyzing school assignments written by students in their final years of vocational schools and their communication in new media. The 2016 research study was a follow-up study to the research study that had been carried out in 2015 with grammar school students. This new research study compared vocational school students with grammar school students in Croatia.
A novel 3D measurement technique for rigid moving objects with a determined movement trajectory and constant movement speed

When phase-shifting (PS) and temporal-phase-unwrapping algorithms are employed for three-dimensional (3D) shape measurement, the measured object must be kept static during the projection and acquisition. If the measured object is moving, deviation among multiple fringe images will inevitably occur, which results in the 3D measurement error. In this paper, a novel 3D measurement technique for rigid moving objects obtained by using the PS algorithm and the three-pitch heterodyne-unwrapping (TPHU) algorithm is proposed, which consists of six steps. First, the pixel offset is estimated based on a centroid deviation calculation. Second, the phase offsets among multiple fringes are calculated. Third, a novel set of fringes for the projection is generated. Fourth, we offset the captured fringe images according to the pixel offsets to generate a new set of captured fringe images for the phase calculation. Fifth, the wrapped phase is calculated by the PS algorithm. Finally, the unwrapped phase is calculated by the TPHU algorithm. The proposed method can be applied to the 3D shape reconstruction of a rigid movement object with a determined movement trajectory and constant movement speed. This approach not only greatly improves the measurement efficiency but also inherits the high accuracy and robustness of the PS and TPHU algorithms.
SPARQL Query Recommendation by Example: Assessing the Impact of Structural Analysis on Star-Shaped Queries.

One of the existing query recommendation strategies for unknown datasets is example, i.e. based on a query that the user already knows how to formulate on another dataset within a similar domain. In this paper we measure what contribution a structural analysis of the query and the datasets can bring to a recommendation strategy, to go alongside approaches that provide a semantic analysis. Here we concentrate on the case of star-shaped SPARQL queries over RDF datasets.The illustrated strategy performs a least general generalization on the given query, computes the specializations of it that are satisfiable by the target dataset, and organizes them into a graph. It then visits the graph to recommend first the reformulated queries that reflect the original query as closely as possible. This approach does not rely upon a semantic mapping between the two datasets. An implementation as part of the SQUIRE query recommendation library is discussed.
Perhatian Orang Tua dan Penguasaan Materi Prasyarat Terhadap Belajar Matematika

This study aims to study parental attention (X1), mastery of material as a requirement (X2) and jointly with parental attention (X1) and mastery of material related to the suitability of learning outcomes of students of SMAN 4 Kota Sorong (Y). This type of research is quantitative in the form of correlational research. Purposive sampling is a sampling technique used in this study. The results showed that parents' attention and mastery of material had a significant relationship to mathematics learning achievement of Sorong City 4 High School students, namely 63.8% and 47.6%. Together, parental attention and mastery of prerequisite material have a significant influence on mathematics learning achievement of SMAN 4 Sorong City students, amounting to 70.6%.
A New Algorithm for Security in Cloud Computing

ABSTRACT This article provides a concise introduction to cloud computing and its relationship with security issues The forecast is cloudy with a good chance of performance improvements and meaningful connectivity. In this paper, we discus about a brief introduction to cloud computing and network security. We have also given a few security issues related to cloud computing. General Terms: Cloud computing, network security and related Issues Keywords: Cloud computing, Saas, Paas, Iaas, security issues, man-in-the-middle attack
Designing Dynamic Library Website by Using Wordpress Open Source Content Management System: A Study

Library website is a gateway of information for all the library users. Today’s Libraries are continuously searching innovative ways to reach their patrons. It cater the information needs of a techno savvy new generation user group that prefers to reside in an open. This paper represents the integration of Wordpress (http://www.wordpress.org) with the library web portal for providing the interactive services to the users. Wordpress platform used to create, manage, edits and publishes contents on the web sites. It meets the requirements of library portal contents like library general information, library services, library resources, various links, web 2.0 tools etc. This article discusses the process of design and development of the library website by using Wordpress content management system. Keywords: Website, Content Management System, Open Source Software, Wordpress Cite this Article Mahesh N. Gaikwad, Badrinath D.Dhakne. Designing Dynamic Library Website by Using Wordpress Open Source Content Management System: A Study. Journal of Advancements in Library Sciences. 2019; 6(Special Issue 1): 178s–185s.
EVIDENCE FOR THE CORRELATION BETWEEN CONFLICT RISK INDICATORS GCRI AND FSI USING DEEP LEARNING

Data mining enables an innovative, largely automatic meta-analysis of the relationship between political and economic geography analyses of crisis regions. As an example, the two approaches Global Conflict Risk Index (GCRI) and Fragile States Index (FSI) can be related to each other. The GCRI is a quantitative conflict risk assessment based on open source data and a statistical regression method developed by the Joint Research Centre of the EuropeanCommission.The FSI is based on a conflict assessment framework developed by The Fund for Peace in Washington, DC.In contrast to the quantitative GCRI, the FSI is essentially focused on qualitative data.Both approaches therefore have closely related objectives, but very different methodologies and data sources.It is therefore hoped that the two complementary approaches can be combined to form an even more meaningful meta-analysis, or that contradictions can be discovered, or that a validation of the approaches can be obtained if there are similarities.We propose an approach to automatic meta-analysis that makes use of machine learning (data mining).Such a procedure represents a novel approach in the meta-analysis of conflict risk analysis.
Consensus algorithm of Tendermint platform and Proof Of Lock Change mechanism

This work represents a consensus algorithm in a form of Tendermint’s realization which is based on Byzantine Generals problem. This algorithm is used in order to achieve consensus among the participants over the next block in blockchain in decentralized applications and payment systems with data representation in the form of blockchain. The main feature of the Tendermint consensus algorithm is that the protocol participants are special network nodes, who are called validators. The paper describes the consensus algorithm, data structures representing validator voices with some weight, and the Proof Of Lock Change mechanism. It has been proved the finiteness, correctness and validity of this algorithm in condition the number of validators which are isolated from the system or perform acts which do not correspond to the consensus algorithm does not exceed one third of the total number of validators. Analysis of Proof of lock Change mechanism was performed. It is shown that all possible variations of the consensus algorithm in which Proof of lock Change mechanism is not implemented have a serious defect the violation of finiteness property of consensus algorithm, which can lead to system failure.
PENERAPAN ICE BREAKING DALAM PEMBELAJARAN MATEMATIKA UNTUK MENINGKATKAN RASA PERCAYA DIRI SISWA VIII B SMP BINA HARAPAN BANGSA

The problem of self-confidence is often experienced by students in learning activities. This is due to several factors, it can be from students who tend to be shy, it can also be from the teacher who can not bring students confidence in learning. Therefore, this study aims to determine the level of confidence in Bina Harapan Bangsa Middle School students with indicators of self-confidence that are used are students who have sufficient intelligence, have social skills, and are able to overcome various emerging tensions. With the initial problem, the solution is to apply Ice Breaking to learning. This research was conducted on students in class VIII B of Bina Harapan Bangsa Middle School in Cikancung District, Bandung Regency using the experimental method. The instruments used were questionnaires with 10 statements in accordance with the indicators and accompanied by interviews with students. The conclusion of this study is the application of ice breaking in junior high school learning has a positive effect on the level of confidence of students.
Spectral Characteristics of Time-Domain Induced Polarization in Mineral Prospecting

Summary We present a state-of-the-art of spectral interpretation of induced polarization (IP) data; we discuss the advantages and drawbacks of this approach, as well as perspectives of its further development. We briefly show how spectral parameters can be obtained from time domain IP data and how they can be applied in ore prospecting. Based on experience obtained in VIRG-Rudgeofizika Ltd., we show that the standard chargeability-based approach alone can lead to missing of perspective ore bodies or to overestimation of bodies without economic interest. In contrast, consideration of spectral data allows discriminate between these classes of potential drilling targets. We present two case studies of combined application of the chargeability-based approach and of spectral approach (two gold deposits: Maletovaiam, Kamchatka, and Yasnoe, Taimyr), which allows in combination to discover areas of prospecting interest (e.g., hydrothermally altered volcano-sedimentary rocks and berezitized rocks containing pyrite). We also highlight that a main complication in use of the spectral approach is not a time-consuming field measurements, but rather the time-consuming visual data analysis. We propose, therefore, a new algorithm based on the pattern recognition principle, and we applied it to the field data.
Omonimia, polisemia, ambiguità e altre questioni semantiche

Homonymy, Polysemy, Ambiguity and other Semantic Issues. Meaning (literal and non-literal) may be regarded as a a many-faceted, multi-layered dynamic concept encompassing a number of different core and outer dimensions. Within such an approach, the very fact that polysemes, homonyms, homophones and homographs exist is a test bench for probing and working out a semantic theory, since they are not mereaccidents, but linguistic resources for creative and artistic purposes. Ambiguity and multiplicity of meaning contribute to making language the powerful and versatile tool it is. The languages considered here are Japanese, Chinese, Sanskrit, Prakrits, Brajbhāṣā, Hmong, Zhuang, Toda and Tamil, together with their literatures, cultures and traditions. Special emphasis is laid upon śleṣa, kakekotoba and other instances of creative uses of polysemy, homonymy and ambiguity. KEYWORDS: Homonyms, homophones, homographs, ambiguity, polysemy
ECISION SUPPORT SYSTEMS PRAKIRAAN CUACA HARIAN BERBASIS SEMI-SUPERVISED LEARNING MENGGUNAKAN RECURSIVE K-MEANS DI BANDAR UDARA JUANDA SURABAYA

Weather is an air condition in the atmosphere layer somewhere. There are many human activities that depend on weather conditions. Based on this, weather forecasting is able to solve problems that occur around. One of the human activities that is very influential on climate change is flight activities at Juanda Airport in Surabaya. Where all activities that occur in aircraft flight are determined based on weather conditions observing surface air observations which are then sent to the analysis and weather forecasting section. The process of determining weather forecasts with manual observation methods often occur errors. Based on this, research is conducted using learning methods based on weather history data in the hope that it can provide weather forecasts that are more efficient and have a higher level of accuracy. The method used is semi supervised learning using recursive k-means. Semi supervised learning uses recursive k-means is a method of development of the k-means clustering method. This study uses five weather variables: Minimum temperature, maximum temperature, average temperature, humidity and duration of solar radiation. the best learning process is done with a threshold value of ten which results in an accuracy rate of 100%. And to make it easier for users to use this system, this research also creates an interface system that can be used by users.
Interserver Review (2019) – Hosting Plans, Rating, Pricing, Pros & Cons!

InterServer has been in the web hosting game for a long time. Since 1999, the company has expanded to two New Jersey-based data centers, and is in the process of expanding to new locations. Many of the same people who started the company remain there to this day. A lot of the top management and directorial staff have stayed on for all these years. Some of them even still answer the phone and occasionally provide hands-on support. Such a low staff turnover has proven to be an advantage for the company, but are they delivering the goods?
Development Strategies and Measures for the Construction of Double-qualified Teachers in Higher Vocational Colleges

This paper describes the orientation of higher vocational education in the new era and the connotation of the construction of double-qualified teachers in higher vocational colleges, and puts forward some strategies for the construction of double-qualified teachers in higher vocational colleges. Finally, the paper gives the concrete measures for the construction of double teachers in higher vocational colleges.