Reviewerly/exHarmony huggingface dataset:
An Erroneous Word Locating Algorithm for Natural Language Text in Medical Scene Based on Clustering Analysis

With the development of technology, the processing of natural language texts is increasingly used in medical scenes. For example, speech recognition technology and smart customer service robots can help hospitals to improve efficiency. However, the accuracy rate of the text output of the speech recognition is not satisfactory, especially in the medical scene. As a result, the study of natural language text processing in medical scene is very meaningful. To address this issue, we construct a corpus, a knowledge base, a Pinyin library and a word frequency library. We perform word segmentation operations based on the knowledge base and calculate the word co-occurrence probability based on the word frequency library. The word co-occurrence probability is used to determine whether erroneous words exist or not. If there are words whose co-occurrence probabilities are below a threshold, we assert that there exists erroneous words. And then the clustering analysis is used to locate the erroneous words. The experimental results show that the accuracy rate of erroneous word locating is very high. Therefore, this method has certain practical value.
Book Review: Reengineering the Library: Issues in Electronic Resources Management

Over the last ten years electronic resources (e-resources) have exploded, becoming a larger and more substantial part of library collections. As Stachokas writes in the introduction, “Libraries are reengineering in terms of their professional skills, organizational structures, collections, systems, tools and assessment in order to provide users with a greater number and more types of electronic resources” (xi). This reengineering is vital as processes used for purchasing and preparing print and other physical materials for use are no longer adequate to handle the increased volume of e-resources acquired by libraries. Reengineering the Library is written for academic library practitioners, and there are several chapters that will be of particular interest to those new to the field of electronic resource management.
PENGARUH MINAT BELAJAR SISWA MTS DI KOTA CIMAHI TERHADAP PEMBELAJARAN MATEMATIKA

The purpose of this study was to determine the effect of student learning interest on mathematics learning. The research method used in this study was to use the survey method. The sample size was 30 students, the researchers conducted a statement of questionnaire regarding student learning interest with the number of statements 15 positive and negative questionnaire statements. Based on the results of the questionnaire data calculation, students are more likely to dislike learning mathematics and have the results of acquisition data with a percentage of 60%. The effect of the causes of students not liking mathematics is the learning time factor that is nearing the time of going home from school so that it influences the concentration of students' mathematics learning during class hours. But students have an interest in working on math questions given by the teacher with the results of as much as 42%.
O perfil e as necessidades de informação dos usuários do Arquivo Histórico de Joinville (SC)

: This research aims to identify the profile of the users of the Historical Archive of Joinville (AHJ) and its information needs, with the purpose of contributing with an institution for the definition of strategies of management and planning of activities with a focus on users. Characterized as a documental research, with a qualitative approach, the analyzed data were extracted from AHJ administrative documents, comprising a period of two years (2016 and 2017), aiming to identify the profile of users and their greater information needs, from their personal data and records of the documents searched. The profile of AHJ users, identified from the most frequent characteristics among researchers, can be said to be male and female adults (between 20 and 59 years old), living in Joinville and trained in higher education. The need for information from these researchers consists of researching and accessing, mainly, newspapers, clipboards and iconographic documents. It is not possible to identify the need for access to different document supports (physical or digital) as well as the documentary typologies of iconographic documents. The results show that the administrative documents consulted need to be reformulated, as well as the registration methodology of the researchers and documents searched.
EFEKTIFITAS LEMBAR KEGIATAN SISWA BERBASIS PENDEKATAN PROBLEM SOLVING PADA MATERI PERBANDINGAN SENILAI UNTUK SISWA SMP

The purpose of this research is to analyze the feasibility and effectivity of Student Activity Sheets that has been made before actually use while learning process. Methods used i.e. qualitative descriptive with the sample as many as 32 students and three expert people which include learning materials expert, linguist, and media expert. This form of research instruments in question form validation of expert teaching materials, question form validation of linguist, question form validation of media expert, question form of student responses, and Student Activity Sheet based Problem Solving Approach with teaching materials of comparative worth in grade seven. Validation by expert teaching materials amounted to 75%, validation by linguist amounted to 73, 3%, validation by media expert amounted to 96, 3%, student responses amounted to 79, 89%. It means the Student Activity Sheet based Problem Solving Approach that has been made can be used and effective as a learning media.
EFEKTIFITAS LEMBAR KEGIATAN SISWA BERBASIS PENDEKATAN (CTL) PADA MATERI TEOREMA PYTHAGORAS UNTUK SISWA SMP

One way for students to get meaningful learning is to provide Student Worksheets (LKS) based on theapproach Contextual Teaching and Learning (CTL). The purpose of this study is to analyze the feasibility of Student Activity Sheets that have been made before actually being used during the learning process. The method in this study is descriptive qualitative, with a sample of 33 students in one of the West Bandung District Junior High Schools. The instruments prepared were Student Worksheets (LKS) based on theapproach Contextual Teaching and Learning (CTL), validation questionnaires for material experts, linguists, media experts, and student response questionnaires. The results of the study are questionnaire material expert validation by 75%, linguists by 72%, media experts at 84.25% and student questionnaire responses at 78.63%. It can be concluded that students are interested in working on LKS, and the teacher must be a facilitator so that students do not misinterpret the contents of the LKS. Student Worksheets (LKS) based on theapproach Contextual Teaching and Learning (CTL) can be used in mathematics learning because students will feel more meaningful learning
Penerapan Sistem Publikasi Informasi Humas dalam Meningkatkan Validitas Informasi di Website Kementerian Agama Provinsi Sumatera Selatan

This research was carried out on public relations in the Ministry of Religion of South Sumatra Provincewhich has implemented an information publication system to improve the validity of information on the website of the Ministry of Religion of South Sumatra Province. The background of this research isbased on Law No. 14 of 2008concerning Public Information Openness and ISO / IEC 20071 of 2009 concerning Information Security Management System Requirements. The work unit in the Ministry of Religion of South Sumatra implements a standard for the control of online media, namely the information publication system.Thisinformation publication system with the purpose of controlling information published on the website.This research uses qualitative data, where the primary data sources are public relations staff, SOP information system and website of the Ministry of Religion of South Sumatra Province.The theorythis research is the Grunig and Hunt Situation Theory of public information needs and Shannon and Weaver's information theory.The results of this research are the application of this information publication system with 5 control books can improve the validity of information because the published information can be more clearly and accurately.
2018: In The Rear View by noise rockers SINKING SUNS

Another year in the books and youve probably already forgotten about it, but we still have a couple of more additions to our comprehensive End Of The ...
Researches and Practices of Experimental Teaching Methods of Mechanical Specialty Adapted to Maker Education

The opening of the laboratory is the main driving force behind maker-oriented cultivation of talents. At the same time, the maker-oriented cultivation of talents also makes higher demands on the experimental teaching. To accommodate the goal of maker education of cultivating talents, the experimental teaching center innovates and makes full use of various pedagogical methodologies and modernized teaching methods. Many comprehensive, designed and creative experimental projects have been developing actively. Professors put more emphasis on student-oriented, interactive and research-and-discussion teaching which is based on problems, projects and cases and independent, cooperative and exploratory learning. We have made some achievements by putting those methods in practice.
A Comparison of the Power Spectrum Area and Multifractal Singular Value Decomposition Methods for Extraction of IP Anomaly (A Cause Study: Hamyj Copper Deposit, Iran)

Enhancement of anomaly plays such a critical role in mineral exploration that this work has been carried out by removed noise in geophysical data. Power spectrum area (S-A) and multifractal singular value decomposition (MSVD) methods are application methods in enhancement of anomaly that are usually used in the geochemical exploration process. However, these methods have not been widely used in the geoelectrical data so far. Hamyj deposit is located about 80 kilometers west of Birjand city, South Khorasan province, Iran. In this area, resistivity and induced polarization data have been surveyed by dipole- dipole array. In this paper, IP data has been inversed by the linear method. Then, enhancement of anomaly IP data has been carried out by S-A and MSVD methods. Results of S-A and MSVD methods were compared with each other. Results indicate that the S-A method has determined the location of anomaly IP data better than the MSVD method.
Design and Implementation of a Model to Train Students to Operate an Intelligent Scalpel

In order to effectively enhance the effect of scalpel training, reduce the environmental requirements for training, and change the limited experimental teaching methods, we designed a new model for intelligent scalpel operation training. For this model we created a simulated anatomical work scene that can intelligently recognize scalpel hold and scalpel knife action. The proposed model was able to perceive the scalpel holding angle, force, insertion and extraction, and the direction, speed, and distance of scalpel operation. Through scalpel training plans, the proposed model could complete the whole teaching process, including scalpel training, voice guidance, and evaluating training results. The experiment showed that the model could greatly enhance the effect of scalpel training. Therefore, it is a worthy medical experimental teaching aid.
Acquisition of Best Bet for 10,000 Yen Game Using Machine Learning

The 10,000 yen game is a two-player game that was originally designed for a programming competition. The game has a simple rule and is classified as a two person zero sum finite definite incomplete information game in game theory. In this paper, we propose the best strategy for the 10,000 yen game. The strategy was found from results acquired by machine learning approach for 10,000 game AI. The machine learning approach uses Deep Q-Network and the learning has been performed by playing games against itself. If a player use the strategy as perfect play, the player can win the game with a probability of at least 50% against any strategies.
Performance Evaluation of Fuzzy C-means Associated with Spark based on Virtual Cloud Computing

In recent years, machine learning and cloud computing technology have been widely studied and applied. Machine learning interprets potential knowledge by processing big data. Cloud computing can improve the efficiency of machine learning to process big data. Fuzzy C-Means (FCM) is a machine learning technique that is applied to data clustering. Apache Spark is Open Source cluster cloud computing framework that mainly applies in-memory computing technology. This study proposes an Integrating Fuzzy C-Mean and Spark based on Virtual Cloud Computing Framework (IFCSVCCF) that focuses on the use of Fuzzy C-Mean and Spark to handle big data based virtual architectures.
EFEKTIFITAS LEMBAR KEGIATAN SISWA BERBASIS PENDEKATAN PROBLEM BASED LEARNING PADA MATERI PERBANDINGAN UNTUK SISWA SMP

One of the learning efforts that are discovering the concept with the creation of the student activity sheet based approach to Problem Based Learning. The purpose of this research is to analyze the feasibility of Student Activity Sheets that have been made before actually used when the learning process. This descriptive qualitative research methods, with a sample of 33 students one of 228 West Bandung Regency. The instrument to be prepared is student activity sheet based approaches Problem Based Learning, the now expert validation material, linguist, connoisseur media, and now student response. As for the results of the research that is now 75% material expert validation, linguists 75%, 83%, and media expert question form student response 76%. It can be concluded that the students already there is an interest in working on is student activity sheet but should still be in the lead. Student activity sheet based approach to Problem Based Learning can be used in learning.
Analysis of Witness's Remote Testimony in the Digital Age

In the digital age, the witness's remote testimony system has made great changes in the traditional way of giving evidence. It breaks through the limitations of the region, can better meet the needs of people in the new era to obtain judicial relief conveniently and quickly, and more comprehensively meet the requirements of the judiciary for the people.
An interactive environment for digital registration of human behaviour for biofeedback purposes

Unceasing development of computing power of modern computers and advanced graphics card functions enable very faithful projections of the virtual world. However, issues related to real-time object generation and object interaction are complex research problems. A designer and programmer face a dilemma of modifying the model. Simplifying the model significantly affects minimisation of a detail. The article presents a position of digital registration of human behaviour in the virtual world. A study of human behaviour has been proposed, where the main stimulant is not an image but a sound. Participants heard different sounds and responded to them. Parameters such as: pulse, hand movement, general posture and movements of the entire body were registered. An analysis of change in the scope of given psychological modality is important for biofeedback, which allows activating a self-regulatory ability by a body’s feedback. In the authors’ research, depending on variability of a respondent’s reaction, a further interaction with the virtual sound object is created. In this environment, fear of dogs was safely examined. The paper presents the results of pilot studies, which indicated that it is possible to control human reactions by analysing registered parameters, learning to control their own reactions and with more frequent biofeedback training – working out concentration and coping in the most extreme conditions.
Quantifying Usability via Task Flow-Based Usability Checklists for User-Centered Design

In this study, we investigated the effectiveness of a method to quantify the overall product usability using an expert review. The expert review involved a general-purpose task flow-based usability checklist that provided a single quantitative usability score. This checklist was expected to reduce rating variation among evaluators. To confirm the effectiveness of the checklist, two experiments were performed. In Experiment 1, the usability score obtained using the proposed checklist was compared with traditional usability measures (task completion ration, task completion time, and subjective rating). The results demonstrated that the usability score obtained using the proposed checklist shows a tendency similar to that of the traditional measures. In Experiment 2, we investigated the inter-rater agreement of the proposed checklist by comparing it with a similar method. The results demonstrate that the inter-rater agreement of the proposed task flow-based usability checklist is greater than that of structured user interface design and evaluation.
MARKOV RASTGELE ALANLAR YÖNTEMİ KULLANILARAK HİTİT HUWASİ KUTSAL SAHASININ GÖRÜNTÜLENMESİ

in this paper, regional and residual anomaly separation is achieved using Markov Random Field (MRF) approach. MRF needs no training and uses the benefıl of neighbourhood of pixels of the input anomaly. It is an update stoachastic model. MRF has applied to Sivas city, Altınyayla- Kusaklı Hitit civilisation and satisfactory results are obtained.
Goal-oriented dependency analysis for service identification

Highly mature service-oriented architecture systems have great flexibility and reusability, and can align business processes and information technologies with high quality. Service identification plays a key role in this respect. Further, of the different methods employed, the most popular and preferred is process-oriented service identification. However, the absence of dependency analysis in the business process management domain remains a challenge for the quality of future systems. In this paper, we propose a goal-oriented dependency analysis for service identification via business process modeling. In our analysis solution, we apply a dependency tree featuring the relationships among requirements. The dependency relations are analyzed to create business processes via scenarios comprising requirements and process fragments.
ANALISA DAN PERANCANGAN BOLT INVENTORY MANAJEMENT SYSTEM : PT. INTERNUX

PT. Intenux is a business entity the results of cooperation between PT Firstmedia, Tbk with the largest investment and trading company in Japan & Mitsui Co., Ltd. As for the problems that occur on systems that are running currently pengelohan i.e. for incoming and outgoing goods data between the warehouse and the warehouse, shipping data center that is still on the record into the big book in accordance with the letter or letters the submission or request goods only in noted in a piece of paper and then copy it back to your new computer by admin section of the warehouse. So sometimes experience difficulties in information provided does not correspond to an existing item availability. The purpose of this study is to analyze and design an information system inventory management item, by using UML as Use Case diagrams, Sequence Diagrams, and Class diagrams. who can manage the entire activity out of incoming goods, stock items and reports. Information systems will be analyzed and designed is expected to tackle the whole problem has been in describe.
Categorical Data Clustering Method Based on Improved Fruit Fly Optimization Algorithm

K-modes algorithm is a general algorithm for categorical data clustering. It has the characteristics of simple principle and easy implementation. However, K-modes algorithm is vulnerable to the initial cluster centers and falls into the local optimal solution. And K-modes clustering algorithm cannot automatically determine the number of clusters, it needs to be set manually. These problems limit the application of the K-modes algorithm. This paper addresses the two problems by proposing a K-modes clustering algorithm based on the improved fruit fly optimization algorithm (IFOA-K-modes). The IFOA-K-modes algorithm combines K-modes algorithm with the fruit fly optimization algorithm (FOA), and optimizes the number of clusters and the cluster centers by using the improved fruit fly optimization algorithm (IFOA). In this paper, because of the strong local search ability and weak global search ability, the FOA is improved from the search mechanism, coordinate system and dynamic regulation of search radius. At the end of the paper, the IFOA-K-modes algorithm is verified by experiments. And the results show that the IFOA-K-modes has the ability to optimize the number of clusters and cluster centers, and the accuracy of clustering is also improved.
AMPM3 Criteria of Algorithm Summation for Classifying Datamining of Software Quality Management

This research has the objective to present the algorithm summation method of AMPM3 criteria for reducing attributes in data mining classification of software quality management.Moreover, the programs used to analyze in this research are WE-KA and MATLAB and the techniques used to predict the equation and the accuracy are Decision Tree, Rule-Based, Naï ve Bayesian and KNN.Besides, the results of analyzing the Algorithm with AMPM3 criteria are to reduce the attributes from searching from the relationship of regression analyzing and the regression analysis that are the analyzing from the relationships between 2 variables for finding the similarities between questions and model documents by searching from the patterns of designing.Then, it has the steps as these following: 1) Preparation of Information 2) Selection of Information 3) Practicing Information Set and Test 4) Processing of Information 5) Creation of Model for analyzing the information relationship and effectiveness measurement to reduce attributions.
Promoting The Nonlinear Model Of Higher Education In Russian Universities

In modern Russia the system of higher education is actively transforming. The management of the education is centralized in Russia. Reformation policies are formed by the government in accordance with global trends. However, these often turn out to be controversial with current regional demands as the changes in the universities are determined by officials. The issue here is that the educational communities’ potential is not always taken into consideration by the university management. The main aim of this research is to characterize representatives of an academic community from the universities of the Ural macroregion who are able to perceive the transformations and to participate in them.The study presents the results of a survey of professors (n=810) of the Ural where 51 universities are located. The authors have established that professors and researchers of the Ural universities who are ready to take part in institutional management differ from those who are not ready to do so in various types of professional activity and social participation. The academic community of the Ural universities are shown to be ready to participate in university management are oriented to public forms of discussion of managerial problems.