Reviewerly/exHarmony huggingface dataset:
Searching with consistent prioritization for multi-agent path finding

We study prioritized planning for Multi-Agent Path Finding (MAPF). Existing prioritized MAPF algorithms depend on rule-of-thumb heuristics and random assignment to determine a fixed total priority ordering of all agents a priori. We instead explore the space of all possible partial priority orderings as part of a novel systematic and conflict-driven combinatorial search framework. In a variety of empirical comparisons, we demonstrate state-of-the-art solution qualities and success rates, often with similar runtimes to existing algorithms. We also develop new theoretical results that explore the limitations of prioritized planning, in terms of completeness and optimality, for the first time.
An Encryption and Decryption Technique using Genetic algorithm

The most important issue in computer world are security, integrity and, confidentiality, in any organization’s data, for that the secret messages must be encrypted when it is transmitted. Encryption is a tool for protecting and securing data. The paper proposes a new encryption technique by using genetic algorithm (GA), crossover and mutation are used to encrypt messages. The propose technique have steps, step 1: get the message and convert it to binary, step 2:  make Crossover for 3 digits (digit 3 with digit 6, digit 4 with digit 7, and digit 5 with digit 8), step 3 mutation for 1 digits (digit 1 with digit 2), step 4 convert the binary result after crossover and mutation to message.  .
PASSIVE SUBJECT OF A CRIMINAL OFFENCE (THE VICTIM) IN BOSNIA AND HERZEGOVINA: POORLY PROTECTED AND UNDER-RESEARCHED

Development of Victimology, as a new research field, began in Bosnia and Herzegovina at the end of the 20th century. This paper provides an overview of the state of Victimology in Bosnia and Herzegovina, emphasizing legal position of victims and access to justice mechanisms over the years. There is an evident lack in victimology-related research and education in attempting to engage systematically with political and public attitudes toward understanding of the victim status and victim protection measures. However, the role and position of Victimology at universities will be explored. Research on crime victimisation, mostly limited to the fear of crime and self-reported delinquency surveys, will be presented as well. The overview concludes with proposals for strengthening victim-related legislation and policies aimed to improve position of victim, as well as victimological research efforts in Bosnia and Herzegovina.
한국인 영어 학습자의 쓰기능력별 어휘 및 연어 사용 양상 분석

This study examined both lexical and collocational knowledge of Korean college students in relation to their writing proficiency measured by a diagnostic writing test. The study analyzed essays written in response to two topics by college students at three different proficiency levels (high, mid, low). In a comparison of vocabulary used in the essays, the study noted differences between the proficiency levels in terms of token and type frequencies. However, the lexical distribution patterns in reference to graded word-lists were similar across the proficiency levels. Regardless of the topic, approximately 90% of words used in the essays were from the first 2K words, and about 95% of words from the first 3K words. As to learner use of collocation, collocational expressions were more frequently used by advanced learners, compared to intermediate- or low-level learners. Despite the difference, collocational distribution patterns according to the graded collocation-list were also similar across the three proficiency levels. Regarding part-of-speech-tagged collocation, students tended to overuse a limited set of patterns, such as AJ-NN, NN-NN, and VP-AVP. Findings are discussed in more detail, along with pedagogical implications.
Computational Research Progress in Applied Science & Engineering

Computational Research Progress in Applied Science & Engineering: An international Journal (CRPASE), ISSN : 2423-4591 is a multidisciplinary peer-reviewed journal devoted to the prompt publication of peer-reviewed articles related to all aspects of computational methods in applied science and engineering.
Geographic Information System Mapping of Universitas Negeri Surabaya Facilities (Case Study: Universitas Negeri Surabaya Ketintang)

Abstract The main obstacle for visitors who visit the state university of Surabaya for the first time was difficulty to find certain place or building. In the searching process, most of visitors were confused to find place or building or facility of Surabaya state university because they don’t know about the scope of it so it was required lot of times to find that. Based on statement above so it was used some open source softwares include arciew, postgresql, postgis, mapserver, quantumgis, and framework pmapper to made geographic information system (GIS) based on web that can be used for visitors as aids to find out the layout and information about facilities and buildings of Surabaya state university. Because of it so the visitors will not require lot of times to find the location of facility and building. Result of this system was can help visitors in searching process of facilities and buildings, so the visitors were able to find out about the facilities and buildings information, and roominess of Surabaya state university easily.
LibGuides: Professional Development for Organizational Effectiveness: Free Remote ProvDev Options

This guide was developed by the Organizational Effectiveness Committee to provide ongoing access to professional development opportunities for the Foley Library's staff and faculty members. This page covers free professional online development opportunities you can access from your work-from-home situation.
Implementación de estrategias creativas en estudiantes universitarios: propuesta pedagógica para un aprendizaje realmente significativo

espanolLas estrategias creativas benefician a los alumnos para poder orientarlos al logro de un aprendizaje significativo, pues ayudan a una concentracion mayor al presentar el contenido de la clase, comprendiendo entonces su naturaleza, alcance y secuencia de la informacion proporcionada. La presente practica de campo fue realizada con un grupo de jovenes universitarios de tercer semestre de la Facultad de Idiomas en la Universidad Autonoma de Baja California. Partiendo con el tema de motivacion, se implementaron cinco estrategias educativas para posteriormente conocer la perspectiva de los alumnos mediante una encuesta. EnglishCreative strategies benefit the students in order to guide them to the achievement of a meaningful learning, because they help to a greater concentration by presenting the content of the class, understanding then the nature, reach and sequence of the information provided. The present field practice was carried out with a group of university students of the third semester of the Faculty of Languages at the Autonomous University of Baja California. Starting with the theme of motivation, five educational strategies are implemented to later know the perspective of the students through a survey.
Character Recognition using Regional Structure

With the advent of the fourth industry, the need for office automation with automatic character recognition capabilities is increasing day by day. Therefore, in this paper, we study a character recognition algorithm that effectively recognizes a new experimental data character by using learning data characters. The proposed algorithm computes the degree of similarity that the structural regions of learning data characters match the corresponding regions of the experimental data character. It has been confirmed that satisfactory results can be obtained by selecting the learning data character with the highest degree of similarity in the matching process as the final recognition result for a given experimental data character.
실시간 화상 강의로 진행된 팀티칭 통역 수업에 대한 인식과 통역 능력

The purpose of this study is to evaluate the effects of team teaching in real-time online lecture for a Korean-Vietnamese interpretation course. A recognition test and interpretation ability test were administered to Vietnamese learners before and after the KF Global e-School “Korean Sequential Interpretation” online lectures. The results of the recognition test revealed a positive change in learners’ perceptions. In particular, their levels of satisfaction and willingness to recommend the course to other students improved, at statistically significant rates. The results also confirm the positive change in students’ perceptions on team teaching administered by Korean and Vietnamese professors as well as awareness related to motivation. Second, the results of the interpretation ability test showed improvements in learners’ fluency in interpretation. The learners showed significantly reduced amounts of time spent on interpretation, which provides them with more time to deliver the content. Additional changes were observed in some learners such as reduced dependency on their L1 during note-taking. The study shows the possibility of conducting real-time online lectures as an alternative and effective way to overcome the practical difficulties of Korean interpretation classes for learners abroad.
The Effectiveness Of Thieves Strategy Towards Students’ Motivation In Reading Comprehension

This research aimed at finding out the effectiveness of using Thieves strategy toward students’ motivation in reading. The kind of this research was experimental reserach. The population of this reasearch was the first grade students’ of SMK Darul Quran in academic year 2018/2019. This research took one class as the sample, which consisted of 18 students’. The data of this were primarily gathered from the result computation of pre-test and post-test which given to the object of the research. In this research the researcher computed the data by using t-test formula. Based on the data analysis, he reearcher found t-test score 4.048 and t-table 1.740 with significant level 0,05%. It means that t-test was higher than t-table. Therefore, the conclusion that there was any significant effectiveness of using Thieves strategy toward students’ motivation in reading comprehension.
Cloud Data Center Network Construction Based on Virtualization Technology

With the continuous innovation and research and development of various new technologies, network virtualization technology and cloud computer technology have also emerged. The core issue of the new round of technological revolution is the development and transformation of the cloud data center network. This paper summarizes the characteristics of network virtualization technology, and analyzes the composition of network virtual systems and how to implement cloud data CITIC network virtualization technology.
Functional Requirements of FPS Mobile Games Users Based on KANO Model

Purpose: To specify the functional requirements of different FPG mobile game users, improve the game experience of users, optimize the mobile game functions, and contribute to the focused design and optimization by the mobile game developers in the product development process. Method: Firstly, nine functional requirements are determined through literature review and pre-questionnaire data; then, KANO model and Bart classification method are used to summarize the KANO questionnaire survey results. Conclusions: The functional requirements of four types of FPS mobile games users are concluded and sequenced; the design principles are proposed, and the functional requirement model for four types of FPS mobile game users is constructed while the feasibility of the theory and results is reversely tested by the concept of design practices.
Image Captioning Using Gated Recurrent Units

With the introduction of deep neural networks, there has been an increase in its usage due to its high-performance capabilities and its ability to deliver astounding results when classifying and predicting images, audio, and text. Image captioning allows machines to view images like how humans do and provide them with the knowledge and power to understand visual objects presented to them. To caption images, it is required to use both convolutional neural network (CNN) and recurrent neural network (RNN). The method followed here utilizes the gated recurrent unit (GRU) of the RNN instead of the commonly used long short-term memory (LSTM). The FLICKR8K dataset is used for accomplishing the task. The results are then evaluated using the bilingual evaluation understudy (BLEU) metric to compare the captioned text to human translation. It is observed that the GRU method surpasses the other methods when compared with the BLUE-4 metric.
The Importance Of Social Solidarity In Society

: The article deals with the issues of analyzing the essence of social solidarity and its role in the genesis and evolution of the basic institutions of society. The author analyzed the research work and research of scientist-researchers on the social and philosophical issues about the nature and principles of establishing social unity in society. The given article makes it possible to get a more complete and profound understanding of the structure and essence of the basic institutions of modern society.
Pengembangan Modul Menulis Teks Cerita Fantasi Bermuatan Nilai Konservasi Bagi Peserta Didik SMP

This research purposes to develop the writing fantasy story module which is integrated by conservation value for student in junior high school. This research uses reserach and development approach which has done in 5 steps, as follows; (1) research and informating collecting, (2) planning, (3) develop preliminary form a product, (4) preliminary field testing, dan (5) main product revision. The inquiry technique is the method to collect data with analyzing data uses quantitative and qualititative descriptive, it is data conclusion and explanation. The result of this research shows that both of teachers and students need the writing fantasy story module. Arranging the prototype of this writing fantasy story module depends on development of module such as; subject value aspect, pesentation of subject aspect, languange aspect, and graphical aspect. The average mark will be gotten from development of this module is 3,56 with the best category and some suggestion by improvemnet of four validators. Prototype emendation of the writing fantasy story module consists of the improvement on material aspect, presentation of subject aspect and languange aspect.nKeyword: conservation, fantasy story, module
Feature Analysis of Chinese Drama Based on Big Data Analysis

“Big data” has become a well-deserved focus in the industry in the past year. Especially with the development of new SNS network, the surge of video traffic and the emergence of photo sharing needs, big data grows more rapidly in the fertile soil. The era of big data has come, we can use big data for all aspects of analysis, so as to provide us with more abundant information resources. This paper takes Chinese drama as the research object and analyzes the characteristics of Chinese drama with big data analysis method, so as to summarize the characteristics of Chinese drama and contribute to the development of Chinese drama. The big data analysis method adopted in this paper is to use crawler software and SPSS Modeler to conduct data mining and modeling and obtain the corresponding feature word cloud. The research of this paper shows that the unique performance style and expression technique of Chinese drama make the characteristics of drama obvious and have the characteristics of generality, freehand brushwork and theatricality. According to these characteristics, relevant laws and regulations can be issued at the national or government level to promote the development of Chinese drama and enable the broad masses of people to have a deeper understanding of Chinese drama.
The Effect of Using Project Based Learning Method on Students’ Writing Skill

The objective of this research was to know the effect of using Project-based Learning (PjBL) method on students’ writing skill of second year students at SMAN 2 Tapung Hilir. The design of this research was experimental research which was deal with two variables. The first variable was project based learning method as independent variable and the second variable was students’ writing skill as dependent variable. The sample of this research was 61 students of second year students at SMAN 2 Tapung Hilir. Further, there were two classes of this research. There were experimental class and control class. To obtain the data, the researcher gave the students explanation text as writing test. The data was analyzed by using paired sample T-test through SPSS 22 version program. Based on result shown that towas8.682 and df was 29. It could be analyzed that to is higher than ttable, of 0,05 on the significance rtable(8.682>0.367), that null hypothesis (Ho) was rejected, while the alternative hypothesis (Ha) was accepted. It can be concluded that there is significant effect of using PjBL method on students’ writing skill of second year students at SMAN 2 Tapung Hilir.
DIAGNOSIS OF MICRO CALCIFICATIONS IN DIGITAL MAMMOGRAM USING DEEP PROGNOSTIC LEARNING CLASSIFIER

Breast cancer is the second most common cause of cancer death in women worldwide. The primary prevention is complicated in the early stages of the disease. However, some of the common features of the disease, such as the appearance of mammograms and micro calcifications, are early signs of breast cancer. The Image processing based the diagnosis and detection of Micro calcification in the mammogram images. Since the mammogram images are difficult to identify the micro calcifications, because the scanned images had lot of noises, so the separation of the Micro calcification and the noise is the challenging process in the image processing. In this proposed work a multilevel wavelet decomposition filtering of the work proposed here takes the detection of images at an early stage of the cancer process and is used for noise suppression and enhancement in digital mammography images. During the second stage, the breast area is separated from the pre-processed image. Suboptimal clustering algorithm is used to identify and divide it into negative and positive suspicious areas. This process eliminates unnecessary areas of interest. The Positive suspicious mass containing Micro calcification pixels are taken to the training optimal clustering optimal clustering segmentation network. After distinguishing of micro calcifications in the breast regions the feature like entropy, mean, standard deviation, variance and skewness and the gained values are utilized for classification. The proposed Deep Prognostic Learning Classifier (DPLC) was used to classify the suspicious mass in the mammogram using the above feature. Also the precision, recall and the F-measure values are utilized for analysing the performance of the proposed DPLC method. Finally, the False Positive (FP) and True Positive (TP) rates for the Micro calcification were computed to compare the performance of the trained networks.
Cody Jacobson: Help hunt attempted robbery suspect who burrowed hole through motel room wall to evade capture

Detectives say 'armed and dangerous' fugitive could be willing to hurt or kill someone to get his fix.
Emerging Threats in Cloud Computing

In today’s world cloud computing is being a new utility and its usage is growing day by day. This advancement in services being delivered is getting densely populated and complexed with some peculiar problems even with this advancement. This paper showcase the issues pertaining to cloud service consumers and the risks, threats identified by variety of international level organizations. This paper has also identified some new research areas which needs to be analyzed and some concrete solution are also discussed which needs to be provided. The material presented in this paper is in a lucid and simplified manner. It also covers the evolution and need of cloud computing technology to the current era.
Interaction Mode of “Digital Museum” on the Terminal of Digital Mobile Media

Digital museum uses digital virtual modeling to present an online museum. The paper studies how to realize museum visit through digital media technology. The interactive technology allows people to use VR to closely appreciate the exhibits, and also enables people to interact with the digital museum. The purpose of the digital museum production is to enable people to experience the historical charm of the exhibits without going to the real museum. In the virtual environment, the audience can interact with the exhibits. It can be obtained from the research on this novel technology that the birth of digital museum in mobile media brings benefits for people’s lives, so that people can visit museums at home to learn about relevant historical information. The significance of researching digital museum is to fully understand the benefits brought about by the rapid development of mobile media in the information age. The impact of mobile media on the society in the new era has changed people’s lifestyles. The creation of digital museums is a kind of transformation from reality to virtual environment. People can interact while watching and enjoying, which promotes people’s deep understanding of historical facts.
The Laws of Evolution

This chapter explores the technologies that have made possible the rapid development of computingmachinery, essential for exploring the meaning of the laws of hardware and software evolution.
Institutions, Investment, and Growth in Developing Countries

Many analyses of long-term development neglect the importance of formal and informal political and economic institutions in developing countries. This chapter discusses the nature of such institutions, their endogeneity and persistence over time as well as their impact on growth, inequality, and political stability. The chapter places particular attention on the institutions that build the market and facilitate economic exchange, and on the public organizations mandated with their enforcement. It then discusses their impact on growth and macroeconomic stability as well as the role played by informal institutions in developing countries where formal institutions are often perceived as a costly obstacle to economic development.
Research of College Online Teaching System Based on Cloud Computing

Cloud computer with its super large scale, versatility, high reliability and other technical characteristics and advantages, has opened up a broad prospect for the application of technology in the field of education, which is conducive to solving the contradiction between the construction of teaching resources and application services. Based on the service model of cloud computer and the analysis of the application demand of cloud computing, this paper systematically constructs the scientific research of Japanese teaching and so on, and then constructs an open and flexible platform of Japanese teaching resources based on cloud computing technology, which has important strategic significance for the optimization, integration, co-construction and sharing of Japanese teaching resources.