Reviewerly/exHarmony huggingface dataset:
PENGGUNAAN MODEL PEMBELAJARAN MAKE A MATCH UNTUK MENINGKATKAN HASIL BELAJAR SISWA MATA PELAJARAN IPS DI KELAS VI SDN 24 PONTIANAK TENGGARA

AbstractStudent learning outcomes of class VI A SDN 24 South East Pontianak shows 11 of 23 students do not reach the minimum completeness criteria. So that a study aimed to find out the improvement of student learning outcomes in social studies subjects in class VI A SDN 24 South East Pontianak through the use of learning models make a match. This research was conducted in two cycles and used two instruments, namely: observation sheet and written test form in the form of filling. The results of Cycle I showed the ability to prepare RPP is 77.94, and the average teacher's skills in applying make a match is 83.33. In Cycle I the pre-test scores showed 12 students had reached the minimum completeness criteria, while the post-test scores showed 23 students had reached the minimum completeness criteria (100%) with an average of 82.39. The results of Cycle II showed that the RPP preparation got a value of 92.64 and the use of make a match skill was 92.64. In Cycle II the results of the post-test showed that the remaining 23 (100%) had reached the minimum completeness criteria with an average of 92.17.Â Keywords: Classroom action research, Model Make a Match, Social Sciences Subjects, Student Learning Outcomes
Corrections to “Outlier-Robust Student's-t-Based IMM-VB Localization for Manned Aircraft Using TDOA Measurements” [Jun 20 1646-1658]

Presents corrections to author information for the above named paper.
Using Natural Language Processing to extract information from receipt text

The ability to automatically read, recognize, and extract different information from unstructured text is of key importance to many areas. Most research in this area has been focused on scanned inv ...
해양경찰·경찰 공무원의 외상(trauma)관련 국내 연구 동향

The purpose of this study was to analyze research trends on trauma in maritime police officers and police officers in Korea and suggest future research directions. We collected 57 studies related to trauma in maritime police and police from Korean Citation Index listed journals and analyzed basic information, subjects, research methods, measurements and related variables. The results showed that studies have been conducted sporadically from 2010 and only six out of the 57 studies were conducted for maritime police officers. Police administration (59.6 %) was the most common area of researchers’ major, followed by psychology (19.3 %), medicine and nursing (10.5 %), social welfare (8.8 %) and education(1.8 %). Five out of the six maritime police studies were conducted in the police administration field. Most of the studies adopted the quantitative research method (78.9 %). Only three studies adopted the qualitative method, all of which targeted police officers. The IES-R-K was the most used PTSD scale, followed by the PDS and the PCL-5. Trauma-related variables were commonly conducted in the order of traumatic event experience, resilience, stress-coping methods and social support. Finally, the implications of the findings of our study and the suggestions for further research were discussed.
Evaluating cybersecurity defenses with a data science approach

SOC analysts are under siege to keep pace with the ever-changing threat landscape. The analysts are overworked, burnout and bombarded with the sheer number of alerts that they must carefully investigate. This intense workload can be a true testament against anyone’s patience. We need to empower the Security Operations Center (SOC) analysts with data science implementations to overcome this monotonous work that is leading to career burnout. Security departments should be seeking data-driven approaches for more efficient evaluations on operations. Data Science use cases like detection rule scoring and DGA detection through machine learning are example implementations with immediate value add. With this insight security engineers, management and analysts alike can be empowered to make data driven decisions to tune and lessen the burden on the SOC from investigating fewer false positive related cases.
Security Awareness as a Panacea for Effective Management of Safe Schools Initiative and Students Academic Achievement in Unity Schools in Nigeria

The study examined security awareness as a panacea for effective management of safe school Initiative and students’ academic achievement in unity schools in Nigeria. Three research questions guided the study. The study adopted descriptive survey design. The population of the study comprises 104 principals of unity schools in Nigeria. There was no sampling technique adopted since the entire population was manageable. The instrument for data collection was structured questions developed by the researchers titled: “Safe School Initiative Questionnaire (SSIQ)”. The instrument was validated by three experts, two from the Department of Educational Foundations and one in the Department of Science Education (Measurement and Evaluation Unit), all from the University of Nigeria, Nsukka. The reliability yielded a co-efficient of 0.83 using Cronbach Alpha techniques. Mean and standard deviation were used to answer the research questions. The findings of the study revealed that the rationale for launching safe school initiative was to protect Nigeria students in school from being attacks, to reduce the dropout rate, to enable the students to be conscious of security situation in schools, prevent future attacks on schools, and general protection of education sector in Nigeria. The findings of the study also revealed that school based management strategies can be adopted for safe school initiative implementation in unity schools in Nigeria. Based on the findings of the study, the following recommendation were made, among other that, federal government should provide safety facilities especially perimeter fencing in unity school in Nigeria.
COMPARATIVE STUDY OF OWNERSHIP GOOD OF FINDINGS WHICH CARRY FLOOD FLOWS BY THE MAZHAB OF IMAM SYAFI'I AND IMAM HANAFIYYAH

Human life always comes from various places that never stop appearing, one of which is the problem of goods after the flood. The conclusion obtained is that according to the opinion of the Imam Syafi'i School with Imam Hanafiyyah regarding ownership of the found items, it is almost the same that every person who discovers the found items must announce and return the items within one year. The researcher formulated the problem form as follows: what is the opinion of the Imam Shafi'ite school and Imam Hanafiyah school of ownership of found items (luqathah) and how the Imam Syafi'i School and Imam Hanafiyyah School of ownership of the findings in the event of flooding. This study aims to answer the problem formulation. The research method used is a qualitative method. Source of data used primary data is data obtained directly from local residents through interviews and secondary data, namely through the study of literature relating to the object under study. Based on the results of the study, the conclusion obtained according to the Imam Shafi'i School explains that when the person who finds the item is trustful, it is rewarded to save it and return it when it has met with the owner because by participating in saving the item means helping to protect it from loss. Events that occur after the flood in the community many who take goods to own and control,  whereas in the view of Imam Syafi'i and Imam Hanafiyyah regarding ownership of found items that anyone can have it as long as they are able to take good care of it and must return the found items caused by the flood to their owners within one year.
Teaching students of economic specialties to collaborate in ESP classes

The article deals with the methodology of teaching students majoring in economic specialties to collaborate as one of the four key skills of the 21st century (4C) while teaching “English for Specific Purposes”. The urge to develop the ability to work effectively in a team arises from the lack of correlation between the needs of the labour market and proficiency level of graduates. Educators and business communities emphasise the importance of mastering collaborative strategies during university studies since this raises graduates’ competitiveness; though teachers use collaboration techniques when teaching a foreign language. Collaborative learning is often used only as a means of teaching other content, not as a method of improving collaboration skills. The article analyses the Ukrainian university graduates’ proficiency level, identifies the basic prerequisites for teaching collaboration and considers the methods of developing collaboration skills in teaching a foreign language. The development of these skills is determined by the collaboration of teachers while planning curricula and in the teaching process. The results of the research conducted at Tavria State Agrotechnological University are presented. The recommendations on how to create the conditions for productive collaboration of students when solving problems are given; the basic requirements for these tasks are specified. Some examples of group work that contribute to enhancing collaborative skills to achieve a common goal are given; the role of the teacher as a facilitator and an observer who promotes students’ effective collaboration is determined. According to the results of the study, a significant increase in students’ knowledge and skills and their psychological readiness to collaborate in their future professional activity, which seems to be more important, was noted. It is proved that teaching collaboration is a desirable result and an achievable goal of learning a foreign language at university.
Development of Cluster Validity Index in Feature Space

In clustering problems, it is difficult to know the optimum number of clusters for a given dataset a priori. Hence, cluster validity indices (CVIs) measuring the fitness of partitions produced by clustering algorithms are important criteria to evaluate the goodness of clustering results. However, many CVIs suffer from asymmetric, arbitrary, noise, and sub-cluster shape of clusters, especially for high-dimensional dataset. Therefore, this paper proposes new CVIs in feature space in which the proposed CVIs transform arbitrary shape of clusters into elliptical or circular clusters by using kernel functions. The experimental results show that the proposed CVIs have a good performance to estimate the optimum number of clusters for asymmetric, noise, and arbitrary shapes of clusters.
ASSESSING THE EFFECT OF ORGANIZATIONAL CULTURAL VALUES AND EMPLOYEES ENGAGEMENT ON PERFORMANCE EXCELLENCE

Purpose- This empirical study seeks to assess the role of organizational culturalvalues (OCV) and employees' engagement (EE) on performance excellence (PE) in thebanking sector and provide better guidance for managing performance.Design/methodology/approach- The target samples were drawn from Saudi Arabianbank branch managers. A questionnaire survey was used, and a total of 258 validquestionnaires were collected.Finding- The study provides strong evidence that performance excellence can besignificantly and positively affected by organizational cultural values and employees'engagement.Practical implications- The study provides managers with an understanding of theeffect of values and engagement level on performance excellence.Originality/value- The study reveals that organizational cultural values is a guidefor personnel roles and bank behaviors, steering thoughts and efforts toward achievingperformance excellence. Additionally, the findings represent a strong tool for banks touse in identifying performance excellence and reinforcing their culture amongemployees (employee-culture f
Towards an Heuristic Approach to Cybersecurity and Online Safety Pedagogy

Using a realist review approach from a qualitative and pragmatic perspective, the ultimate aim here is to develop a Cybersecurity and Online Safety (CSOS) pedagogical approach for Initial Teacher Training. The approach here is needs based whilst societally situated. It is primarily intended for the preparation of initial teacher trainees. However, this emerging approach could also be of interest to those developing CSOS educational programmes. The aim here is not to outline specific instruction for a particular online harm. Neither is it to provide further security instruction, for example, on how to manage passwords. The aim is to propose a theoretical approach to CSOS contexts, mechanisms and outcomes. From this the future aim is to curate a set of appropriate tools, or heuristics, that can be taught and utilised by lay people or experts to address established or new CSOS issues. The work considers the current education landscape and the CSOS issues. Using Friere’s pedagogical approach, the emergent themes are situated to the needs of the individual and society. The resulting theoretical approach should facilitate initial CSOS dialogues between educators and learners. These initial findings are surprising when situated alongside known pedagogies and theories.
Twitter sentiment analysis: a comparison of available techniques and services

Many different models and services to perform Sentiment Analysis are available. It is often difficult to choose the right one for the use case of interest. This thesis analyses relevant techniques that have been successfully applied to classify sentiment polarity and it proposes a comparison of their performances based on experiments run on the dataset Sentiment140. Moreover, it proposes an analysis to understand when the models agree on the correct classification to highlight the margin of improvement that is possible to achieve in theory. Three main macrocategories of models are considered: traditional models based on mathematical theorems or intuitions (Naive Bayes, Support Vector Machine, Logistic Regression and Random Forest), neural models (ANN, CNN, Bi-LSTM and a hybrid approach) and classification services offered by top technology companies (AWS Comprehend, Google Natural Language API and Meaning Cloud). The tested models achieved very similar performances, with the best model represented by Logistic Regression. Despite the potential of neural models and the advantages of ready-to-use services, traditional models proved to be the best trade-off and provided the best performances. Analysing when the models agree, it was possible to observe that there is a subset of the dataset that is not correctly classified by any model, although in theory it is possible to achieve much better performances than those obtained by individual models.
Can we Beat the Square Root Bound for ECDLP over 𝔽p2 via Representation?

Abstract We give a 4-list algorithm for solving the Elliptic Curve Discrete Logarithm (ECDLP) over some quadratic field 𝔽 p 2 . Using the representation technique, we reduce ECDLP to a multivariate polynomial zero testing problem. Our solution of this problem using bivariate polynomial multi-evaluation yields a p 1.314 -algorithm for ECDLP. While this is inferior to Pollard’s Rho algorithm with square root (in the field size) complexity 𝓞( p ), it still has the potential to open a path to an o ( p )-algorithm for ECDLP, since all involved lists are of size as small as $\begin{array}{} p^{\frac 3 4}, \end{array}$ only their computation is yet too costly.
General Theoretical Results

Organizing the key theoretical results according to general categories is a useful means of presenting the theory. It is also helpful in translating theory into practice. We should never lose sight of the fact that the point of the theory is to promote accuracy in assessing security risk and increase the effectiveness of security risk management.
Strategic Planning Design in The Development of Multifunction Services of North Nias Public Library

Strategic planning in library services is becoming needs today in responding to challenges in the era of industrial revolution 4.0. Strategic planning is also needs to respond the role of libraries as institution for providing information and knowledge in educating and empowering the nation. Thus, the strategic planning design is needed as a reference in developing future-oriented library services. This research aims to formulate the North Nias Public Library’s strategic planning design in improving public services. The research method was descriptive qualitative by collecting data through interview, observation, and documentation. The results of this study were North Nias Public Library’s strategic planning design with Hensley-Schoppmeyer Model which become a reference in developing the multifunctional services of North Nias Public Library in the future and the three pillars of strategic planning stages, i.e. consensus; cooperation; and proactive, creative, and contextual actions.
Applying user data mining using clustering algorithms

analYSiS of ExiSting Data cluStEring algoritHmS
Organization Of Mass Sports Work Of A Comprehensive School Through Distributed Leadership

The materials presented are devoted to the consideration of the organization of mass sports, fitness and health work among students of secondary schools. The concept of distributed leadership, which is unreasonably not widespread in the education system, was chosen as the main technology for solving the stated problem. This approach is used to organize the long-term interscholastic project “South Coast Olympic Games”, in which schoolchildren of all age categories are involved. In the preparation and conduct of the Children's Olympics, the organizing team is divided into creative groups, the management of which is carried out jointly by children and adults. Students take an active part in the implementation of the project from the design stage to the completion stage and post-project reflection. Such technology contributes to the development of their independence, the ability to lead and obey, take responsibility and delegate authority. The described processes are unique for our education system. They allow us not only to use the personal resource of children and adults in their active interaction, but also to bring them to the need for close cooperation with the outside world, the school’s social partners, both organizations and specific people, which helps to increase the degree of openness of educational systems in general. The bright, successful people involved in the project (champions, politicians, journalists, businesspersons, artists) are not school workers, but, of course, they are authorities and role models for schoolchildren.
Education with Digital Culture: Shifting the Paradigms of Prospective Knowledge by Mediatization

This article presents the paradigm shift, especially in school education, under the conditions of current mediatization, whereby we understand education initially as a communicative system that is dedicated to the acquisition of new and future relevant knowledge in lifelong processes of appropriation. To this end, educational institutions demand an educational language that screens out those who cannot serve that linguistic register. Arguing with regard to Rawls and Nussbaum, we present this selection mechanism under the conditions of current mediatization as both ideologically outdated and practically reducible and refer to current models of professionalization of teachers and international competency frameworks for digital media education.
Argument, I Choose You! Preferences and Ranking Semantics in Abstract Argumentation

Preference-based argumentation and ranking semantics are two important research topics in the computational argumentation literature. Surprisingly, no study investigates to what extent preferences over arguments and ranking semantics can interact. This paper fills the gap between the relative priorities that one can express and the evaluation of arguments individual acceptability. More precisely, we propose a natural principle that should be satisfied by a ranking semantics for Preference-based Argumentation Frameworks. We show that although existing semantics do not satisfy this desirable principle, they can be used to define new ranking semantics that exhibit the expected behavior. Finally, we discuss an application of these semantics to the modeling of human reasoning.
Verification of the Instantiation and Integration of Security Patterns

As software applications suffer from increasing malicious attacks, security becomes a critically important issue for software development. To avoid security problems and increase efficiency, a large software system design may reuse good security solutions for existing security patterns. While security patterns document expert solutions to common security problems and capture well-examined practices on secure software design, implementing them in a particular context (pattern instantiation) and composing them with other related patterns (pattern integration) are prone to flaws and may break expected security properties. In this paper, we present an approach to verify security patterns instantiation and integration automatically. We offer formal definitions for security pattern instantiation and integration, and establish rules to transform sequence diagrams (representing the behaviors of security patterns) to expressions in Milner’s Calculus of Communicating Systems (CCS). We prove the correctness of the proposed transformation, and propose an algorithm to carry out this transformation automatically. In particular, we formally specify the alternative flows of UML sequence diagrams guarded by constraint conditions, which allows us to model choice making behaviors of security patterns precisely. The properties of the instantiation and integration can be verified by model checking against their CCS expressions. Flaws of instantiation and integration can, therefore, be discovered early in the design stage. We use two case studies to illustrate our approach and show the capability to prove security in integration and detect design errors in instantiation respectively.
A study on tone marks of korean proper nouns of the NIHONSHOKI printed in 1669

This study explores the tone marks of the proper nouns of Korean origin in the 9-year edition of Kanbun(1669). This paper presents them as data, and examines the correspondence with the Ganemigi-bon, a manuscript of the Urabe family.BR As a result, the tone marks of proper nouns of Korean origin in the 9-year edition of Kanbun was the most common Hyosyo, and this is the same as the result of the old manuscripts and the manuscript of Kanemigi.BR As a result of responding to tone marks common to the manuscript of Kanemigi, the perfect agreement reached 95%.BR Therefore, it is considered that this data can be regarded as a material that can complement the manuscript of Kanemigi. However, the volumes for which the scores have not been judged are shown depending on the volume, so volume 27 and volume 29 should be used with caution.
Development of the Stochastic Lattice Model for Describing Aggregation Processes in the Polydisperse Systems (3D Case)

This paper is devoted to the problem of developing the newly efficient method for modeling the aggregation processes in polydisperse systems, without limitation of considering only binary collisions. The submitted method is an extension of the method previously developed by the authors for the case of a three-dimensional stochastic lattice. Such an extension increases the practical significance and reliability of the simulation results. The deals with the results of a numerical experiment conducted to study the kinetics of the aggregation process occurring in a dispersed system flowing through a 3D tubular reactor based on the discrete-event simulation paradigm (DES). The model is based on the mathematical apparatus of a random walk on mathematical lattices. As shown in this work, this approach allows removing the problem linked to accounting the effect of many-particles collisions, and it allows reducing the problem of calculating the aggregation kernels in kinetic equations to taking into account the hierarchy of characteristic times of the various stages of the aggregation process.