Reviewerly/exHarmony huggingface dataset:
Effects of Needed Conditions, Concerns, and Expected Changes in Introducing the Teacher by Teacher Process Fortified Assessment Policy on Teacher’s Opinion

이 연구의 목적은 첫째, 교사별 과정 중심 평가 도입시 필요 사항, 우려 사항, 기대 변화가 교사별 과정 중심 평가 제도 도입 의견에 미치는 효과를 탐구하고, 둘째, 기대 변화 변수의 매개효과를 검증하고, 셋째, 초등교사와 중학교 교사 집단에서 구조관계가 동일한지를 탐구하는데 있다. 본 연구 자료는 전국 초등학교 교사 1,231명, 중학교 교사 687명이다. 설문 문항에 교사별 과정 중심 학생평가 제도 도입에 대한 교사들의 찬성 여부, 교사별 과정 중심 평가 도입시 필요 사항, 우려 사항, 교실에서의 기대 변화 등을 포함하였다. 연구결과 첫째, 교사별 과정 중심 평가를 도입시 필요 사항에 대한 요구가 높을수록 교사별 과정 중심 평가 제도 도입에 긍정적이었고, 제도 도입시 평가와 관련한 우려가 클수록 교사별 과정 중심 평가 도입에 대해 부정적이었다. 둘째, 기대 변화 변수는 필요 사항과 우려 사항이 교사별 과정 중심 평가 도입에 미치는 효과를 부분 매개하였고, 효과 크기는 모두 작았다. 셋째, 이들 변수간 구조적 관계의 형태만 초등학교 교사와 중학교 교사 집단에서 동일했다.The purposes of this study are to investigate the effects of needed conditions (NEED), concerns (CONCERN), expected changes in schools (EXPCHG) if the teacher by teacher process fortified assessment (TPFA) policy were introduced on teacher’s opinion (OPINION), to test the significance of EXPCHG as the mediating variable, and to examine the factorial invariance between elementary and middle school teachers groups. The elementary and middle school teachers were sampled with the stratified cluster sampling method and responded on the online survey questions. For this study, total numbers of 1,231 and 687 from elementary and middle school teachers, respectively, were used. The results showed that firstly as teachers marked higher on NEED, they tended to agree on introducing TPFA. Also as they endorsed CONCERN to high end, they seemed not to agree on introducing TPFA. Secondly, EXPCHG had statistically significant mediating effects between NEED and OPINION and also between CONCERN and OPINION. Thirdly, the structural model of this study had the configural invariance across the elementary and middle school teacher groups, but had not measurement invariance across the two groups.
EDUCATIONAL PROGRAMMES DEVELOPMENT ON THE BASIS OF THE REQUIREMENTS BALANCE BETWEEN PROFESSIONAL AND FEDERAL STATE EDUCATIONAL STANDARDS

The problem and the goal. The article analyses the main problems that arise during the development of new educational programmes (EPs) at the university when switching over to the federal state educational standards of new generation 3++. The goal is to find a solution to these problems, which will allow the use of the renewal of the EPs to improve the quality of training graduates. The research methodology involves the systematic comparative study of professional standards and the federal state educational standards of new generation as well as the rationale for choosing the correct approach aimed at improving the learning process. The research results include the selection and justification of ways to solve the problems of using professional standards when designing the educational programmes. Conclusion. The article identifies the main problems that require addressing by the developers of new educational programmes for the university. In this case, the purpose of developing a new EP should be to improve the quality of graduates training. The article provides the rationale for the transition to standards 3++ in order to achieve this goal.
A Study on Mary Scranton’s Mission Thought and Chosun Mission Who was the First Pioneer in Women’s Education in Korea.

Mary F. Scranton was a missionary who understood the demands of the era of blooming and reform at the end of the Chosun Dynasty and applied it to mission. In particular, she lived a pioneering career in women’s education, which promoted social transformation through education and medical mission, restored human rights to poor and marginalized women through Christian education, and elevated women's values. Scranton looked at the fate of the tipping ship and gave the women of the Chosun Dynasty pride. They regained their pride as the Chosun people and she enlightened them through education so that the future of the Chosun Dynasty could be proudly built up. Her missionary enthusiasm, dedication, and courage were a ray of light and hope in the darkness of Chosun. It was also the woman who made the dawn of Protestantism come to light in the land of the barren gospel.
Question Similarity Detection in Turkish Using Semantic Textual Similarity Methods

In this study, we evaluate the performance of various semantic textual similarity methods on question similarity detection task in Turkish. Various handcrafted features and neural models, specifically siamese recurrent networks, are studied to detect questions which have a similar meaning to given question in a dataset. Several experiments have been performed to compare the performance of features and neural methods. Our Experiments demonstrate that siamese recurrent networks significantly outperforms traditional methods which are based on handcrafted features such as word and stem matching counts, TFIDF vectors and similarity of word embeddings. We also observed that the performance of siamese recurrent networks could be further improved by incorporating handcrafted features to the process.
Interlace Type Recognition Analysis under Non-Cooperative Conditions

In terms of non-cooperative communication, blind identification of signal interleaving type is an important part of channel coding identification. Based on the in-depth analysis of determinant and convolutional interleaving of linear block codes, a blind identification method based on sequence code weight is proposed. The method distinguishes the interleaving type by calculating the distribution probability of different code weights of the intercepted sequences. The simulation results show that the method can realize the interlace type identification quickly and has certain anti-error ability.
BiodiFAIRse: a Biodiversity dedicated GO FAIR Implementation Network

The global aims of the biodiversity field are to understand the underlying mechanisms of nature, document and capture the state and dynamics of ecosystems, and build predictive models for the future. This understanding is based on access to and use of data, models and analysis tools, produced in ever-greater quantities, and used by diverse communities tackling different aspects of biodiversity from observations, collections, sampling and experimental data. The analysis of biodiversity data is essential for ecosystem services, risk analysis, and human well-being. The impact goes well beyond provisioning for material welfare and livelihoods, to include food security, resiliency, social relations, health, and environmental indicators. Species loss has dramatically accelerated around the world and now poses an existential threat to some ecosystems and susceptible human societies. There is an urgent need to; 1) collect, preserve and share FAIR data on species and ecosystems before they are lost to the scientific record, and, 2) provide automatic workflows producing biodiversity indicators so researchers, planners or policy-makers have evidence-based models to understand the complex dynamics of biodiversity. To accelerate progress, both in the completeness and coverage of data, and in the richness of available information, all relevant sources of data must be aggregated; including sample-based data sets, ecogenomics, molecular research, remote-sensing, literature records, local and regional checklists, and expert knowledge. These resources, records and diverse data types should be used not only as a source of occurrence information, but also as an effective discovery tool on species abundance, community compositions, and interrelated genetic data. Towards these long term aims, the partners of the BiodiFAIRse IN plan to build a virtual research environment and tools, collectively bringing their expertise to FAIR compliance by adapting data exchange standards, promoting the use and mapping of controlled vocabularies and collaborating in the development of registries gathering FAIR research objects and processes, analysis tools, and scalable workflows.
An Investigation of Learning Strategies in Flipped Class Based on Confirmatory Factor Analysis

The purpose of this study is to analyze the characteristics of the English learning strategies of the students who participated in flipped class and to develop teaching methods to induce the students’ learning strategies. For this purpose, 108 high school students responded to the English learning strategy questionnaire and a confirmatory factor analysis was conducted based on the results. Through the confirmatory factor analysis, the characteristics of four English learning strategies such as exploring, fulfilling, demanding and sharing were confirmed. The verified characteristics were statistically significant by examining goodness fit. Students have a strong tendency to constantly try new learning methods; exploring, strive to obtain visible performance and substantial rewards; fulfilling, maintain a constant attitude of seeking and collaborating with friends and teachers around them; demanding, and tried to share learning contents; sharing. Considering the characteristics of these learning strategies, teachers in flipped class need to develop an assessment system that provides students with reconstructed textbooks in various aspects, give them instant and continuous learning achievement, provide active feedback, and create a learning atmosphere where project learning can be organized efficiently.
Measuring Icon Recognization Mapping with Automated Decision Making System

Nowadays, mobile technology has been rapidly improved in both hardware and software aspects. Thus, many applications have been built and install in a smartphone. To find an application in the smartphone, a user has to search through various icons that design based on functions of the application. The purpose of this research is to build an automatic system that helps software designers to decide if the designed-icon is a proper icon that could be recognized by the user easily or not using entropy, Canny edge detection, and decision tree. Two experiments are reported in this research. 100 icons in both Android and iPhone operation system were used in both experiments. The sample included undergraduate students and workers in Thailand ( $\mathbf{n}=90$ ) ages ranged from 18 to 57. The first experiment was made in order to find a relationship among edge, entropy and human visual processing and use it as a training and testing dataset for the proposed system. The second experiment shows that the proposed system can be used to judge for a proper icon property with 73.33% accuracy rate.
Natural Lighting Design Strategies in Library of Mataram University

Reading room of a library serves as a place to accommodate reading activities. To fulfill its function, a good standard quality of natural lighting is needed. The standard of natural lighting in the library is 300 lux on the work plane, but the reading room in the library of Mataram University which is located in the city of Mataram still does not meet the standards. The research that uses DIALux v.4.13 software aims to find out the right natural lighting design strategies in order to improve lighting quality. The results showed that the change of furniture layout, addition of the opening dimensions, the addition of top lighting, the replacement of transparency values in lighting openings, then shading elements and material changes are added to existing imagery elements with high transparency values to increase the level of lighting at each point and spread light evenly in space. Keywords: Natural Lighting, Library, Design Strategy, Lighting Distribution
Pengelolaan Kandungan Bahan Organik pada Limbah Cair Laboratorium ProlingMSP-IPB dengan Berbagai Kombinasi Agen Bioremediasi

ABSTRACT  Wastewater from laboratory glassware washing activities contains organic materials. Decomposing bacteria could increase the biomass by utilizing organic matter as a source of carbon. This research was aimed to describe the influence of commercial probiotic application in reducing organic matter content of Proling laboratory wastewater. The research was conducted from February to July 2016 in Aquatic Microbiology Laboratory. The experiment consists of several treatments, those were wastewater (L), wastewater+molase (LM), and wastewater+molase+bacteria from commercial probiotic (LMB). Major parameters observed were COD and bacteria abundance. The results showed that there was significant response difference between molasses and without molasses treatment. Based on COD, the most influenced treatment in decreasing organic matter were LM and LMB. These treatments could decrease COD up to 97% and 91%. Furthermore, the abundance of bacteria in molasses treatment was higher than without molasses. Based on this study, the most effective treatment in reducing organic matter was LMB. Keywords: bacteria, laboratory wastewater, molasses, organic matter
LibGuides: CSUL 2019: March 2019

Meeting information, agenda and meeting materials for the Council of State University Libraries.
SUÇ KORKUSU KULLANILARAK, TELEFON ARACILIĞIYLA GERÇEKLEŞTİRİLEN DOLANDIRICILIK VAKALARI (2017-2018) “İSTANBUL ÖRNEĞİ”

These days, even though society is aiming to ensure the safety of life and property by taking physical measures with the effect of environmental factors, misuse of the blessings of the technology age by criminals can cause the safety of individuals to be at risk. In this study, the suspects who committed the crime of qualified fraud by telephone, the tactics of fear of crime and the qualitative characteristics of the target group were examined in the context of suspicious-victim statistics obtained with the permission of the Istanbul Police Directorate. As a result of the study, it was observed that almost all segments of the society were affected by the fear of crime, at the same time the target groups of the suspects and the tactics used in defrauding the victims were presented and it was aimed to increase the attention level of the society against fraud cases.
Modeling and Analysis of the Influence of Affective Factors on Students' Learning Efficiency Improvement Based on Big Data

In order to improve learning efficiency and quantify the quality of teaching, a method of modelling the influence of emotional factors on students' learning efficiency is proposed. The statistical feature analysis object model is constructed. The quantitative regression analysis method is used to construct the big data model of emotional factors and learning efficiency. The association rule decomposition method is used to decompose and model the big data samples, and analyse the influence factors of emotion on learning efficiency. The fuzzy constraint control method clusters and mines big data association rules, and analyses the promotion factors of emotional factors to students' learning efficiency, calculates the level of promotion contribution, and adopts adaptive evolutionary game method to realise emotional factors under big data. Modelling the impact of student learning efficiency, experiments show that the proposed method has high confidence level and small error in analysing subject problems.
A Study on the Effectiveness of Drugs User-oriented Narcotic Investigation

국내에서도 마약류를 접할 수 있는 경로가 다양해짐에 따라 마약류 범죄도 증가하는 추세에 있다. 전 세계가 인터넷을 통하 여 세계 각국의 문화와 정보들이 교류함에 따라 외국의 마약문화를 쉽게 경험 할 수 있게 되었고, 이러한 마약류에 대한 관심은 국내 마약류 유입의 증가로 이어지고 있다. 특히 국내의 SNS의 사용량이 증가한 2014년부터 공교롭게도 마약류 범죄의 검거 인원도 늘어나고 있는 추세이다. 최근 대부분의 마약류 거래는 온라인상의 비대면 거래로 이뤄짐에 따라 수사기관은 마약류 범죄 단속을 위하여 위법의 여지가 있는 함정수사를 진행하고 있다. 마약류 공급자 및 투약자를 검거하게 되면 그들을 정보원으로 활용하여 공범 및 투약 의심자를 유인하는 방식의 수사를 진행하여 범죄를 예방하여야 할 책임이 있는 수사기관이 함정을 만들어 범인을 검거함으로써 신의칙에 반한다는 점에서 비판을 받고 있지만 현재 온라인상에서 이뤄지는 마약류 거래의 특성상 함정수사를 하지 않고서는 마약류 공급자 및 투약자에 대한 검거가 어려운 실정이다. 그러나 국내 마약류 범죄는 제조사범 및 공급자가 국내에 거주하지 않는 경우도 많아 투약자 위주의 수사에 중점을 두고 진행됨에 따라 투약자를 중심으로 시행되는 함정수사의 위법성 및 실효성에 대하여 생각해보아야 할 것이다. 수사기관의 마약류 투약자 위주의 수사는 실제 마약류 범죄 감소에 크게 영향을 미치지 못하고 있으며, 무리한 함정수사로 인하여 수사기관의 신뢰만 무너뜨리고 있다. 따라서 마약류 범죄를 감소시키기 위해서는 마약류 투약자에 대한 엄벌주의 보다는 마약 중독자에 대한 인식 변화 및 정책적 변화가 필요하다.In Korea, too, as the routes of encountering drugs have become more diversified, narcotic crimes tend to increase as well. Through the internet, all the countries in the world are exchanging their culture and information, and we can see that not only overseas drug culture but drugs are being introduced into Korea through various routes. Particularly, from 2014 when the use of SNS increased, the number of drug users arrested has tended to increase, too. To crack down on such untact drug dealings, investigative agencies are carrying out aggressive sting operations which are disputable for being unlawful. Since there are no substantive enactments on the current Criminal Procedure Law for sting operations and precedents are also rare, it is hard to judge if the investigation is illegal or not definitely. Through the investigation, once a drug supplier or user is arrested, they use them to lure other accomplices or suspected users. Also, they use the information source to lure the supplier or users. It is being criticized because it is against the Principle of Good Faith as the investigative agency responsible for preventing crimes sets a trap and uses it to arrest criminals. However, we should consider that due to the characteristics of narcotic crimes, it is difficult to arrest criminals without such sting operations. Regarding narcotic crimes in Korea, however, there are no criminals making drugs, so the investigation is oriented to either suppliers or user. We often face the outcome that is unfair because the suppliers get the benefit of a reduced sentence for providing the investigative agency with information about the users. The investigative agency’s narcotic investigation is mostly oriented to the users and performance, and it hardly leads to the reduction of narcotic crimes. Besides, with their severe sting operations, the investigative agency’s trust collapses. Accordingly, to reduce narcotic crimes, it is necessary to change people’s recognition on drug addicts and also change the policies instead of punishing the users harshly.
Layout-Aware Embedding for Quantum Annealing Processors.

Due to the physical limit in connectivity between qubits in Quantum Annealing Processors (QAPs), when sampling from a problem formulated as an Ising graph model, it is necessary to embed the problem onto the physical lattice of qubits. A valid mapping of the problem nodes into qubits often requires qubit chains to ensure connectivity.
DEVELOPMENT OF PROFESSIONAL SELF-CONSCIOUSNESS OF FUTURE PSYCHOLOGISTS AS AN EDUCATIONAL PROBLEM

аспірантка кафедри психології та педагогіки ПВНЗ «Університет сучасних знань»A theoretical empirical study was launched to identify psychological particularities of the content and formation of professional self-consciousness of future psychologists when they change specialization.The object of this study is professional self-consciousness of future psychologists, and its subject includes particularities of formation of professional self-consciousness of future psychologists in the conditions of specialization change.Comprehensive diagnostics of the structure of self-consciousness of psychology students will be the objective of the empirical part of this study.An analysis of motivational factors behind the choice of the psychologist's profession, features of emotional intellect and professional identity, life-sense orientation, and self-evaluation of respondents' consultation competences are also envisaged.
Android Pattern Unlock Authentication - effectiveness of local and global dynamic features

This study conducts a holistic analysis of the performances of biometric features incorporated into Pattern Unlock authentication. The objective is to enhance the strength of the authentication by adding an implicit layer. Earlier studies have incorporated either global or local dynamic features for verification; however, as found in this paper, different features have variable discriminating power, especially at different extraction levels. The discriminating potential of global, local and their combination are evaluated. Results showed that locally extracted features have higher discriminating power than global features and combining both features gives the best verification performance. Further, a novel feature was proposed and evaluated, which was found to have a varied impact (both positive and negative) on the system performance. From our findings, it is essential to evaluate features (independently and collectively), extracted at different levels (global and local) and different combination for some might impede on the verification performance of the system.
Dockerising terrier for the open-source IR replicability challenge

Reproducibility and replicability are key concepts in science, andit is therefore important for information retrieval (IR) platformsto aid in reproducing and replicating experiments. In this paper,we describe the creation of a Docker container for Terrier withinthe framework of the OSIRRC 2019 challenge, which allows typicalruns to be reproduced on TREC Test Collections such as Robust04,GOV2, Core2018. In doing so, it is hoped that the produced Dockerimage can be of aid to other (re)producing baseline experiments onthese test collections. Initiatives like OSIRRC are key in advancingthese key concepts in the IR area. By making not only the sourcecode available, but also the exact same environment and standardising inputs and outputs, it is possible to easily compare approachesand thereby improve the quality of the research for InformationRetrieval.
The Effects of Misspecification and Hierarchical Structure of Attributes in Q-Matrix on the Quality Level in Estimating Cognitive Diagnostic Model

이 연구는 인지진단모형을 적용함에 있어 사용하는 Q행렬이 오지정되었을 때, 그리고 인지요소가 위계구조를 가지고 있을 때, 인지진단모형 추정 양호도에 어떠한 영향을 미치는지 탐색하였다. Q행렬에서 오지정된 요소를 포함하는 문항의 비율을 0%&#8228;10%&#8228;20%&#8228;30%, 오지정 종류는 과잉&#8228;과소&#8228;혼합, 인지요소의 위계구조는 선형&#8228;확산형&#8228;수렴형을 고려하였다. 인지진단모형 추정 양호도를 확인하기 위해 모의자료를 생성하여 연구를 수행하였고, 모형적합도와 인지요소패턴 분류정확일치도를 산출하였다. 연구 결과, Q행렬에서 오지정된 요소를 포함하는 문항의 비율이 높아질수록 모형적합도는 나빠지고, 인지요소패턴 분류정확도는 감소되었다. 자료의 인지요소 위계구조를 반영하여 분석한 경우에 비해 반영하지 않고 분석한 경우, 인지진단모형 적합도에서는 뚜렷한 경향을 보이지 않았지만, 인지요소패턴 분류정확일치도는 감소하였다.This study was designed to investigate the quality level in the estimation of cognitive diagnostic model when the Q-matrix was misspecified and/or the structure of attributes was hierarchical. The simulation data were generated under several conditions; the proportion of items containing missspecified attributes, the types of misspecifications, hierarchical and non-hierarchical structures of attributes. The effects of using different number of attributes and different number of examinees were also examined. The hierarchical structures of attributes were classified into three types (linear/divergent/convergent). The quality levels in the estimation of the cognitive diagnostic models were investigated via model data fit and the exact agreement rate of classification of attribute patterns. Based upon the result of this study, the higher the proportion of items containing misspecified attributes in Q-matrix, the worse the model data fit and the less exact agreement rate of classification of attribute patterns. Also, model with reflecting hierarchical structures of attributes would not produce better fit than that without reflecting hierarchical structure of attributes. The exact agreement rate of classification seemed decreased in the case without reflecting hierarchical structure of attributes compared to the case with reflecting hierarchical structure of attributes.