Reviewerly/exHarmony huggingface dataset:
Conceptual Comparison of Compilation-Based Solvers for Multi-Agent Path Finding: MIP vs. SAT

The task in multi-agent path finding (MAPF) is to find paths through which agents can navigate from their starting positions to given individual goal positions. The combination of two additional requirements makes the problem challenging: (i) agents must not collide with each other and (ii) the paths must be optimal with respect to some objective. We summarize and compare main ideas of contemporary compilation-based solvers for MAPF using MIP and SAT formalisms.
Algoritma K-Means Clustering dalam Mengklasifikasi Data Daerah Rawan Tindak Kriminalitas (Polres Kepulauan Mentawai)

Crime is all kinds of actions and actions that are economically and psychologically harmful that violate the laws in force in the State of Indonesia as well as social and religious norms. Ordinary criminal acts affect the security of the community and threaten their inner and outer peace. The research location is the Mentawai Islands Police, which is an agency that can provide security and protection for the community, especially those in the Mentawai Islands Regency. The problem is that it is difficult for the Mentawai Islands Police to classify areas that are prone to crime in the most vulnerable, moderately vulnerable and not vulnerable categories. Especially considering the condition of the Mentawai, there are four large islands consisting of 10 sub-districts, where crime is increasing every year, especially those in the Mentawai Islands Regency area such as motor vehicle theft. Based on the background of the problem above, the researcher is interested in taking research in creating a system to predict the crime rate in the Mentawai Islands Regency in order to anticipate the surge in crime that will come. The method used is the K-Means Clustering Algorithm as a non-hierarchical data clustering method to partition existing data into one or more clusters or groups. This method partitions data into clusters so that data with the same characteristics are grouped into the same cluster and data with different characteristics are grouped into other clusters. Clustering is one of the data mining techniques used to get groups of objects that have common characteristics in large enough data. The data used is data on cases of criminal theft of motor vehicles for the last 5 years from 2016 to 2020. The results of the test show that South Sipora District is an area prone to the crime of motor vehicle theft.
Methods of construction and properties of logariphmic signatures

Development and promising areas of research in the construction of practical models of quantum computers contributes to the search and development of effective cryptographic primitives. Along with the growth of the practical possibilities of using quantum computing, the threat to classical encryption and electronic signature schemes using classical mathematical problems as a basis, being overcome by the computational capabilities of quantum computers. This fact motivates the study of fundamental theorems concerning the mathematical and computational aspects of candidate post-quantum cryptosystems. Development of a new quantum-resistant asymmetric cryptosystem is one of the urgent problems. The use of logarithmic signatures and coverings of finite groups a promising direction in the development of asymmetric cryptosystems. The current state of this area and the work of recent years suggest that the problem of factorizing an element of a finite group in the theory of constructing cryptosystems based on non-Abelian groups using logarithmic signatures is computationally complex; it potentially provides the necessary level of cryptographic protection against attacks using the capabilities of quantum calculations. The paper presents logarithmic signatures as a special type of factorization in finite groups; it also considers their properties and construction methods.
A Comparative Between British English And American English: Vocabulary Analysis

This research paper aims to analyze the comparative between British English and American English, because many language learners or English users still confuse to differentiate both of them, especially in the countries where English is foreign language. Sometimes, it cause misunderstanding in communication. The research paper use qualitative research design with characteristic of content analysis. It uses observation and documentation in collecting the data. The obtained data is vocabulary in Oxford Advanced Learner’s Dictionary 9th edition which published in 2015. The researcher took 150 words to be analyzed. Based on the data analysis there are three differences in Vocabulary of British English and American English. The researchers divide the differences into three categories they are differences in Vocabulary (word using), spelling, and pronunciation. The researcher found 50 different words in vocabulary (word using), 50 different words in spelling and 50 words which have differences in pronunciation. Based on findings of this research, it is significant for language learners or English user to know the differences of British English and American English and improve their vocabulary of British and American English in order to decrease misunderstanding in communication. The researchers hope language learners or English user can decide which English varieties that will they use and the can use one of English varieties consistently.
Model of managing the professional-educational route of a future specialist

The research problem is the process and result of diagnostics of targeted forming the trajectory of professional development of a personality. This problem is especially important under the modern conditions of mobility in professional sphere and the growing requirements for activity of a professional. The method of analyzing the system of professional guidance in a region enabled to reveal the main requirements and characteristics of the process of professional self-determination. As a result of the study of the theory and practice of professional guidance and professional self-determination processes, a model was elaborated for managing the professional-educational route of a future specialist. Special attention is paid to the stage of professional diagnostics and professional navigation of schoolchildren and university matriculants, based on the existing methods of professional guidance. A conclusion was made that a complex approach is needed for the processes of professional development of a personality and the support of professional development of future specialists, with a view of synchronizing the resources of regional educational establishments of various levels, consolidation of the efforts of the regional administration, employers and educational sphere of the region. The authors present a description of an electronic service “Employee Constructor”, which provides management of personal professional-educational route of a personality during growing, professional formation, professional adaptation and development, depending on the interests, abilities, individual features, competencies and experience of a particular person.
Forced Leadership as a Social Psychological Phenomenon in Professionally Successful Women Scientists

In today's world, women are increasingly taking the place of leaders, so they have to be active, focused, resistant to stress, have a high level of self-regulation, and be able to work in a team. So, we can see how women are sometimes forced to become leaders in difficult life circumstances. Due to persistence, self-education, determination, they work in leadership positions and demonstrate masculine personality traits. The study aimed to study the psychological characteristics of women scientists who hold high positions in educational establishments - vice-rector, dean, and department head. We hypothesized that the professional success of women scientists depends on the level of their potential leadership skills. The study involved 75 women from higher education institutions who successfully work as vice-rectors, deans, heads of departments. All of them have the degree of doctors of philosophy from various scientific fields and combined scientific activity with managerial activity. Analysis of the results of empirical research showed that a high level of leadership skills determines the professional success of 37% of women studied, but 63% of women scientists have other determinants of professional success. Differences in indicators were identified, and three groups of women were characterized depending on the level of development of their leadership abilities. In groups of women with a medium and low level of leadership skills, the main determinants of professional success are the focus on real-life circumstances, high level of development of stable emotional and volitional sphere, voluntary self-regulation, self-control in difficult situations, emotional stability. Women who have achieved professional success, not on the basis of potential leadership abilities, form a socially determined personal quality - forced leadership, which we tend to consider as a social psychological phenomenon, which is based on the ability to adapt to living conditions in situations requiring a person to choose against own individual psychological features, namely to become a leader, to cultivate the traits inherent in a true leader.
IMPLEMENTATION OF THE SMART BUILDING CONCEPT IN PARAHYANGAN OFFICE RENTAL SPACE AND APARTMENT DESIGN

The design of Parahyangan Office Rental Space and Apartment is intended to create offices and residential areas that accommodate business and residential functions with the concept of smart building applied to various aspects of architectural design. Parahyangan Office Rental Space and Apartment is the offices and residential areas that accommodate the needs of community in Kota Baru Parahyangan, not only in business activities but also in residence. In this area, the offices become a place for business and economic activities for the people of Kota Baru Parahyangan and its surroundings. Moreover, the offices also become the biggest business center and office center in Kota Baru Parahyangan and/or Bandung Regency and its surroundings. Meanwhile, the residential areas are the place for the emergence of vertical residential needs in Kota Baru Parahyangan. The Smart building concept is chosen because of the need for efficiency in activities. Living in urban areas requires a high level of mobility and movement, which can be supported using the smart building concept. The system of buildings, in which the occupants live and do their activities, can be set through the intelligent building, so that residents can allocate their time and energy to other things. Smart building can also generate comfortable, productive, and simpler life for residents of the building.Keywords: Smart Building, Office, Residence
Retraction Note to: Traffic identification and traffic analysis based on support vector machine

As the number of applications based on the Internet is increasing, the traffic becomes more and more complex. So how to improve the service quality and security of the network is becoming more and more important. This paper studies the application of support vector machine in traffic identification to classify the network traffic. Through data collection and feature generation methods and network traffic feature screening methods, support vector machine is used as a classifier by using the generalization capability of support vector machine, and the parameters and kernel functions of the support vector machine are adjusted and selected based on cross-comparison ideas and methods. Using the cross-validation method to make the most reasonable statistics for the classification and recognition accuracy of the adjusted support vector machine avoids the situation that the classification accuracy of the support vector machine is unstable or the statistics are inaccurate. Finally, a traffic classification and identification system based on support vector machine is realized. The final recognition rate of encrypted traffic is up to 99.31%, which overcomes the disadvantages of traditional traffic identification and achieves a fairly reliable accuracy.
Improved Latent Tree Induction with Distant Supervision via Span Constraints

For over thirty years, researchers have developed and analyzed methods for latent tree induction as an approach for unsupervised syntactic parsing.Nonetheless, modern systems still do not perform well enough compared to their supervised counterparts to have any practical use as structural annotation of text.In this work, we present a technique that uses distant supervision in the form of span constraints (i.e.phrase bracketing) to improve performance in unsupervised constituency parsing.Using a relatively small number of span constraints we can substantially improve the output from DIORA, an already competitive unsupervised parsing system.Compared with full parse tree annotation, span constraints can be acquired with minimal effort, such as with a lexicon derived from Wikipedia, to find exact text matches.Our experiments show span constraints based on entities improves constituency parsing on English WSJ Penn Treebank by more than 5 F1.Furthermore, our method extends to any domain where span constraints are easily attainable, and as a case study we demonstrate its effectiveness by parsing biomedical text from the CRAFT dataset.
India’s domestic Cyber Security and CyberCrime: A Case Study of Social Media and Darknet Management by Manipur Police

It has been observed in the past few years that many states in India had shut down internet services from time to time citing one reason or another related to crimes or to maintain law and order.The observed phenomenon is more prevalent in the Indian State of Manipur.Manipur at present is in the category of "Disturb Area" under the Indian Constitution, and controversial security Act such as "Armed Forces Special Power Act-1956" has been imposed since 1980.Many individuals have been arrested in Manipur by police for violating the cyber law as per reports.This simply indicates that despite its normal duties associated with regular crimes, their understanding in the domain of cyberspace needs to be expanded along with the legal aspects (law).However, the daunting question is how the Manipur Police has improved to challenging crimes in social media and the forum of the darknet.This lead to the question of Manipur Police to explore more on legal aspects of cyberspace to efficiently handle crimes on social media and counter vulnerabilities in the Darknet.India as a country is still a confused on what cybersecurity and cybercrime in practical life.
THE IMPLEMENTATION CLT APPROACH TO IMPROVE STUDENTS SPEAKING SKILLS

The goal of this study is to find out how instructors employ the Communicative Language Teaching approach in the English classroom, as well as the strategies and resources they use to help students develop their speaking skills.This can be seen from the class activities, speaking materials until the strategies that has been implemented in some research. This article takes the form of a review of documents and literatures, with an evaluation of knowledge as the basis. As a result, as a teacher, you may learn from other countries that have successfully implemented and developed CLT in improving students' speaking skills.
Bioinspired Auditory Model for Vowel Recognition

In this work, a bioinspired or neuromorphic model to replicate the vowel recognition process for an auditory system is presented. A bioinspired peripheral and central auditory system model is implemented and a neuromorphic higher auditory system model based on artificial neuronal nets for vowel recognition is proposed. For their verification, ten Hispanic Spanish language-speaking adults (five males and five females) were used. With the proposed bioinspired model based on artificial neuronal nets it is possible to recognize with high levels of accuracy and sensibility the vowels phonemes of speech signals and the assessment of cochlear implant stimulation strategies in terms of vowel recognition.
Black Spot Analysis Using Weighted Severity Index Method at Bhongir Zone - Rachakonda Police Commissionerate – Hyderabad

The identification of accidental Blackspots gives information about a particular stretch/location of a Road, which provides information to the road users at the time of travelling.To know about traffic information in the study area, Peak and Non-Peak hours traffic volumes and also spot speed data (Primary data) have been recorded.Past 3 years 2016-2018 accident data (Secondary data) were collected from Rachakonda Police Commissionerate.Further, this Primary and Secondary data has been analyzed by using MS Excel 2019; from the primary data total traffic volume, highest and lowest speeds of the particular locations of the study zone identified; from the secondary data, different types of analysis are carried out to identify the severities about accidents and also accident locations are marked in google maps.With help these maps, kilometer wise number of accident locations are calculated.Using these severity values Blackspots of the study area calculated using Weighted Severity Index formula, top severity value locations were selected as blackspots as per the WSI values.The information helps road users at the time of travelling in the study area to know about blackspots.
The Quality of Software Metrics

This paper discusses the definition, types, characteristic and construction of software metrics in the field of software development. Finally, an overview is given regarding the use of a software tool in software development in relation to software metrics in the field of banking.
Structural and Chemical Controllers of the North and Northwest of Torud Based on Involved Fluid Studies, Structural and Geochemical Analyses

Chah Mura mining area in Semnan province is located 30 km southwest of Shahroud and 20 km north of Torud village with an area of 35 km2 and includes a part of 1:250,000 Torud plate. Structurally, this area is located in the northeastern part of Central Iran and in the center of the volcanic-intrusive arc of Torud-Chah Shirin. Rock units of the area are volcanic and pyroclastic, depending on the Eocene age. Exposed assemblages in the Chah Mura area, based on field and laboratory studies, can be divided into basalt, andesite, andesite-basalt, trachyandesite, trachyandesibasalt and small outcrops of pyroclastic units in the form of agglomerates and sediments of sandstone and conglomerate. Volcanic rocks are influenced by sub-volcanic masses younger than Eocene with an intermediate to basic composition, and their predominant textures are granular, porphyroid with microcrystalline to microintragranular background. Finally, the units are cut by dikes. In this area, mineralization is mainly in the control of sub-faults and subvolcanic massifs. Mineralization is in the form of vein-veinlet, filling empty and scattered space in the oxidation-supergen stage. Mineral sequences include pyrite, chalcopyrite, chalcocite, digenite and covellite, cuprite, tenorite, natural copper, malachite, azurite, and iron oxides and hydroxides. Geochemical studies indicate that copper does not correlate well with any of the base metals and depositing elements. Copper shows only a relative correlation with silver. Micrometric studies of fluid inclusions in samples from this area indicate dilution as a result of mixing hydrothermal solutions with atmospheric fluids in formation of this reserve.
Application of Image Recognition Algorithm Based on Partial Differential Equation and Wavelet Transform in the Intelligent Linkage System of Government Urban Public Management

In the Internet age, social needs have become more diverse. The private sector has achieved great success in integrating resources to provide services to customers thanks to technological breakthroughs such as mobile Internet and big data, while the public sector has become even more dwarfed. The public sector urgently needs new theoretical support to integrate administrative resources more effectively, so as to provide the public with one-stop, holistic and seamless services as a whole. The “holistic governance” theory effectively responded to the abovementioned problems and gradually condensed the consensus of the academic and practical circles and became the most influential theory. The method of mathematical modeling is used to combine the improved wavelet domain Wiener filter and the comprehensive model of partial differential equations. This paper proposes an image recognition algorithm based on partial differential equations and wavelet transform. The algorithm uses weight coefficients to organically combine high-order partial differential equation models, retains the advantages of the second- and fourth-order partial differential recognition models, effectively improves the ability to maintain image edge detail information, and achieves better recognition results. This article starts with the description of the fragmentation of a street’s grassroots governance and sorts out the process of implementing overall governance with the “big linkage mechanism” as the main carrier. Due to the limitations of research ability and objective conditions, this article intercepts the “cross-section” of the big linkage mechanism in a certain street to demonstrate it and analyzes this “cross-section” more thoroughly. The experimental results of the data show that the image recognition algorithm based on partial differential equations and wavelet transform is effective and practical in the intelligent linkage system of the government urban public management.
Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications

Sentence-level Quality Estimation (QE) of machine translation is traditionally formulated as a regression task, and the performance of QE models is typically measured by Pearson correlation with human labels.Recent QE models have achieved previously-unseen levels of correlation with human judgments, but they rely on large multilingual contextualized language models that are computationally expensive and thus infeasible for many real-world applications.In this work, we evaluate several model compression techniques for QE and find that, despite their popularity in other NLP tasks, they lead to poor performance in this regression setting.We observe that a full model parameterization is required to achieve SoTA results in a regression task.However, we argue that the level of expressiveness of a model in a continuous range is unnecessary given the downstream applications of QE, and show that reframing QE as a classification problem and evaluating QE models using classification metrics would better reflect their actual performance in real-world applications.