Reviewerly/exHarmony huggingface dataset:
DECISION INFORMATION SYSTEM AND ANNOUNCEMENT OF FINE AND COSTS FOR WEB-BASED TRAFFIC BREACHES AT THE LUBUKLINGGAU STATE COURT

The Lubuklinggau District Court Office is a judicial institution whose duties are to receive, examine and decide cases of traffic violations. Mechanisms for resolving cases of traffic violations in Lubuklinggau, starting from delegation, decisions, making reports and access to information are still done manually because there is no direct integrated system between the Police, the Court and the Community. From the problems at hand, the authors are interested in creating a Web-based Information System for Decisions and Announcement of Fines and Ticketing Case Fees which is expected to facilitate the process of resolving ticket cases. The method used for this research is the method of data collection, by making direct observations to the research site (observation), conducting direct questions and answers to sources (interviews), documentation and literature study by reading literature books. This system is built using the PHP programming language, MySQL database, and Sublite Text as a program listing, the waterfall system development method, system testing is carried out using black box testing. This system can be a solution to the problems faced by the Court and the Police in processing ticket data that is well-systemed and integrated and the public can easily access e-ticket information in the system and the system created will improve services at the Lubuklinggau city district court. This results in the output of accessing the online decision announcement by the public affected by the ticketing case.
Prediction of User Behaviour based Fake Reviews using Semi Supervised Fuzzy based Classification

Online client conduct investigation is a significant territory of examination that empowers various attributes of clients to be contemplated. Online surveys have incredible effect on the present business and trade. Dynamic for acquisition of online items generally relies upon surveys given by the clients. Consequently, entrepreneurial people or gatherings attempt to control item audits for their own advantages. This sort of investigation is performed for a few purposes, for example, discovering clients' inclinations about an item (for showcasing, online business, and so on.) or toward an occasion (races, titles, and so forth.) and watching dubious exercises (security and protection) in light of their qualities over the Internet. In this paper, a Neuron-fuzzy methodology for the arrangement and forecast of client conduct based phony surveys is proposed. A dataset, made out of clients' transient audits related logs containing three sorts of data, in particular, neighborhood machine, system and web use logs, is focused on. To supplement the investigation, every client's audits input is likewise used. Different surveys relate rules have been actualized to address the organization's strategy for deciding the exact conduct of a client as for audits, which could be useful in administrative choices. For expectation, a Gaussian Radial Basis Function Neural Network (GRBF-NN) is prepared dependent on the model set created by a Fuzzy Rule Based System (FRBS) and the 360-degree input of the client’s audits. The outcomes are acquired and contrasted and other best in class plans in the writing and the plan is seen as promising as far as characterization just as forecast precision.
Reception of A.S. Griboyedov on the Internet: based on the blog example about the connections of the writer's name with the Crimea

Almost two centuries after death, Alexander Sergeyevich Griboyedov (1794-1829) continues to influence social processes. To unravel the mystery of this phenomenon, it is necessary to answer the question about the character of perception of the writer and diplomat and to find out what features of his image appeal to modern people. The subject of this work is the perception of Griboyedov in the electronic environment. The work shows how the search engines index the blo-gosphere, which is dedicated to “the author of Famusov and Skalozub”, what topics are popular among its readers and what kind of audience it is, what influences the attendance of the only on-line-diary about the writer’s discourse, what is its history creation, purpose, structure, genre and style of material presentation, what factors determine the demand for the content of this resource and in which way it differs from similar media, what Web borrows from this project and in what manner. The basis of the narrative is made up of information that is not available in the public domain, observations over the media space are commented in the light of the state of affairs in griboedovistic. The request for the new data about the writer and diplomat on the virtual space is correlated with the attitudes of researchers and relevant publications of 2012–2020, the prospect of overcoming the identified discrepancies is associated with the changing of the agenda in modern science and disclosed by the characteristics of its tasks.
Mem2Mem: Learning to Summarize Long Texts with Memory Compression and Transfer

We introduce Mem2Mem, a memory-to-memory mechanism for hierarchical recurrent neural network based encoder decoder architectures and we explore its use for abstractive document summarization. Mem2Mem transfers memories via readable/writable external memory modules that augment both the encoder and decoder. Our memory regularization compresses an encoded input article into a more compact set of sentence representations. Most importantly, the memory compression step performs implicit extraction without labels, sidestepping issues with suboptimal ground-truth data and exposure bias of hybrid extractive-abstractive summarization techniques. By allowing the decoder to read/write over the encoded input memory, the model learns to read salient information about the input article while keeping track of what has been generated. Our Mem2Mem approach yields results that are competitive with state of the art transformer based summarization methods, but with 16 times fewer parameters.
Unlearned Class Estimation Neural Network Based on Approximate GMM for FPGA Implementation

General classification methods cannot treat unexpected patterns that are not considered in the training process. For this problem, our research group has proposed a probabilistic classification method that can classify abnormal patterns as the unlearned class. For the implementation of the classifier in the embedded hardware, this paper proposes a novel approximate Bayesian classification method with the anomaly detection based on Gaussian mixture models and the probabilistic density function of the unlearned class. The proposed classifier was applied to forearm motion classification in the experiments. Experimental results demonstrate the proposed method can achieve high classification performance as same as the previous model, and the effectiveness of the proposed method could be confirmed.
Discovering the prerequisite relationships among instructional videos from subtitles

Nowadays, students prefer to complement their studies with online video materials. While there are many video e-learning resources available on the internet, video sharing platforms which provide these resources, such as YouTube, do not structure the presented materials in a prerequisite order.As a result, learners are not able to use the existing materials effectively since they do not know in which order they need to be studied. Our aim is to overcome this limitation of existing video sharing systems and improve the learning experience of their users by discovering prerequisite relationships among videos where basic materials are covered prior to more advanced ones. Experiments performed on commonly used gold standard datasets show the effectiveness of the proposed approach utilizing measures based on phrasesimilarity scores.
Lightweight Design of Palletizing Manipulator Based on Structural Performance Influence Analysis

Abstract In order to better coordinate the structural performance with lightweight goal, multi-stage lightweight strategy based on structural performance influence analysis is proposed. The framework of knowledge-guided lightweight design with multiple behavior routes was constructed firstly. Some behavior routes, such as initial structural design, lightweight optimization combined with structural performance influence analysis and knowledge-guided lightweight optimization, were designed in this section. Secondly, the decomposition of decision task and the multi-stage lightweight decision based on structural performance influence knowledge were discussed. Finally, the palletizing manipulator with parallelogram leveling mechanism was taken as an example to apply proposed strategy. Comparing with the initial optimization model in the first stage, the total weight of the components after multi-stage lightweight has been reduced by 23.37%, but the maximum stress of total manipulator only increased by 10.3Mpa, which shows the significant effect of lightweight.
"Application of Virtual Reality for Helping People with Psychiatric Disorders: A Mini Review"

Psychiatric disorders are characterized by behavioral and cognitive deficits. It is crucial to develop intervention strategies helping individuals with psychiatric disorders, their caregivers and educators in daily life. To this purpose, eXtended Reality (XR), i.e. a simulation of the real world based on computer graphics, can be useful as it allows instructors and therapists to offer a safe, repeatable and diversifiable environment during learning. This mini review examines studies that have investigated the use of XR in psychiatric disorders. Virtual reality is a promising intervention with several potential applications about behavioral and cognitive rehabilitation treatment in psychiatric disorders.
PENERAPAN PENGETAHUAN KEPUTUSAN PEMBELIAN MAKANAN JAJANAN PADA MAHASISWA PRODI PENDIDIKAN TATA BOGA UPI

Students in general interested in snack because the taste is good, the price is cheap and the proximity do not pay attention to the criteria of good snacks. Students education of Tata Boga are provided with knowledge about Purchase Decisions. The purpose of this study was to obtain related information to the application of snack food purchase decisions to students education of Tata Boga UPI departement. This research method is analytic descriptive method. The population in this research is generation 2016 from students education of Tata Boga there was 62 people, with a sample of 53 people conducted in purposively. The results of this study are the purchasing decisions snack for students because the food is most preferred, because of good food, and food can eliminate hunger. Information obtained by students about snack food is more than half obtained from friends' experience. The suggestion from this research is that students read information on snacks from sources of books, newspapers, or magazines so that snacking is based on knowledge.Keywords: Implementation, food purchasing decisions, consumer education, UPI culinary education study program.
Unidimensional two-way continuous-variable quantum key distribution

We report a unidimensional two-way continuous-variable quantum key distribution protocol, which shows the potential of secure communication with simple modu-lation method in noisy situations.
Cardinal and Ordinal Numbers

Written by a team of experienced teachers of Spanish, this textbook is designed to lead the adult beginner to a comprehensive knowledge of Spanish, giving balanced attention to the four key language skills (speaking, listening, reading and writing). It puts language learning into its real-life context, by incorporating authentic materials such as newspaper articles, poems and songs. It contains a learner and a teacher guide and is intended to complement study both inside and outside the classroom, by providing pair and group activities, as well as materials for independent learning. It also includes helpful reference features, such as a guide to grammatical terms, verb tables, vocabulary lists and a pronunciation guide. This extensively updated second edition features extra exercises to support the acquisition of good pronunciation, and is accompanied by a web companion that hosts expansion exercises, activities, solutions and useful links for each unit, as well transcripts, and access to brand new recordings of all the audio examples found in the book.
Future of Underground Techniques in Deep Mines of Different Content Without Catastrophic Risks

Self-organization is not a universal property of matter, it exists under certain internal and external conditions and this is not associated with a special class of substances. The study of the morphology and dynamics of migration of anomalous zones associated with increased stresses is of particular importance in the development of deep deposits, complicated by dynamic phenomena in the form of rock impacts. An important tool for this study is geophysical exploration. To describe the geological environment in the form of an array of rocks with its natural and technogenic heterogeneity, one should use its more adequate description, which is a discrete model of the medium in the form of a heterogeneous block medium with embedded heterogeneities of a lower rank than the block size. We have carried out an analysis of the morphology of the structural features of disintegration zones before a strong dynamic phenomenon. The constructed theory demonstrated how complicated the process of complexion methods using an electromagnetic and seismic field is to study the response of a medium with a hierarchical structure. This problem is inextricably linked with the formulation and solution of the inverse problem for the propagation of electromagnetic and seismic fields in such complex environments. Using the theory of solving the inverse problem, one can trace the migration of zones of abnormal stresses, their increase or decrease due to cyclic explosive influences during mining of the array, and also assess the possible risk of high-energy dynamic phenomena in the array. The most important conclusion consists on that fact: the monitoring system must be tuned to search the rock massif as a hierarchical structure. The catastrophic events are linked with the dynamics of the hierarchical inclusions state. For today we have sufficient knowledge to use these systems with mathematical software of predicting catastrophic events.
THE EFFECT OF STORYBOARD TECHNIQUE ON STUDENTS’ READING COMPREHENSION IN NARRATIVE TEXT AT THE TENTH GRADE OF SMAN 2 KS CILEGON (2020)

This research used quantitative with true experimental design. The objective of this research was to find out whether there was an effect of using storyboard technique on students’ reading comprehension in narrative text at the tenth grade of SMAN 2 Krakatau Steel Cilegon. The population of this research were 72 students. The instrument were pre-test and post-test. The treatment used Storyboard technique was administrated for the experimental group. The result of independent t-test computation result of post-test score showed that t count more than the t table (6.274 1.994). It can be concluded that Ho (null hypothesis) was rejected and Ha (alternative hypothesis) was accepted. Based on the data analysis above, there was an effect using storyboard technique on students’ reading comprehension in narrative text at the tenth grade of SMAN 2 Krakatau Steel Cilegon
<i>Not So Fast</i>: A Brief Plea for Muddling Through the Problems of Autonomous Vehicle Liability

Abstract Autonomous Vehicles (AVs) are likely to change a great deal about the practical workings of the liability system for auto accidents. However, we cannot know how just yet. Attempts to anticipate the future and preemptively redesign the liability system around its imagined contours are likely to invite error and frustration. Discretion often being the better part of valor, I suggest we muddle through a bit first.
Satın alma davranışında yorumların rolü: Trendyol müşterileri üzerinden bir değerlendirme

The trade that started the trade exchange process has undergone many changes with globalization and emerging technologies and continues to undergo many changes. In this context, the supply and demand of the customers also change, which of course is reflected in the sales policies of the owners of the company. Especially with the introduction of e-commerce, it is thought that the elements that customers pay attention to in the purchasing process have changed. The aim of the study was to examine the role of customer comments on goods and services online in purchasing behaviour. For this purpose, questions about whether individuals take into account the comments made to the product, if the comments are negative, whether the customers make the purchase and in what direction the purchasing behavior of those who have no idea about the product is carried out through the comments constitute research questions. While Trendyol customers, one of the e-commerce sites, were sampling the study, participants were reached via Instagram, Facebook and Twitter. In the study, data was collected by online survey using quantitative research method and descriptive analysis findings were interpreted. In the results obtained, it was observed that the majority of Trendyol customers paid attention to their requirements and abandoned their purchases in negative comments on the product.
Investigation of the Influences of Cloud Microphysics and Aerosol-Cloud Interactions on Solar Irradiance Using WRF-Solar Model

Accurate forecast of solar irradiance remains a major challenge, especially under the influences of aerosols, clouds and aerosol-cloud interactions due to their inadequate parameterizations in numerical prediction models. This study focuses on the impacts of cloud microphysics and the indirect aerosol effect on solar irradiance. The state of art Weather Research and Forecasting model specifically designed for simulating and forecasting solar radiation (WRF-Solar) is employed to investigate the sensitivity of the total solar irradiance and its partitioning into direct and diffuse irradiances to aerosol and cloud properties. First, a number of microphysical schemes will be tested against the measurements of shallow cumulus and stratiform clouds at the DOE ARM SGP site. Efforts will be made to quantify the uncertainty spread. The effects of cloud microphysics on surface solar irradiance will be identified. Second, the indirect aerosol effect on cloud formation and thus surface solar irradiance will be investigated by using the Thompson aerosol aware microphysical scheme and different treatment of aerosols. In particular, we will examine the aerosol indirect effects in different cloud regimes. To address the aforementioned problems, we will introduce a new model evaluation framework based on different WRF-Solar setups (nested WRF, WRF-LES, and single column WRF). In addition, different evaluation metrics will be used, including the RMSE, MAPE, and relative Euclidean distance. The results will provide physical insight into the understanding of aerosol-cloud-radiation interactions and into improving solar radiation forecast in cloudy conditions.
EMPOWERING STUDENT ENGAGEMENT IN L3 THROUGH TEXT CHAT DISCUSSION

Efforts towards the simplification of Arabic grammar as a third language (L3) require the utilization of social media to foster active language learning competencies. Hence, this study aims to explore students’ usability and attitude towards WhatsApp application in the linguistic learning of Arabic. Participants of the study were 136 students under the Arabic language program at a public university in Malaysia. The qualitative survey data involved 25 students out of the total who selected through a purposive sampling technique. This survey study incorporates a mixed method of research with questionnaires adapted from two different studies; Gamble & Wilkins (2014) and Izyani & Mohamed Amin (2016). The qualitative survey data collected via semi-structured group discussions conducted in a bilingual (Malay and Arabic) environment in a WhatsApp group. The findings as a whole reflect the effectiveness and usability of WhatsApp application in complementing face-to-face learning in which the application acts as a tool for Arabic linguistic learning. The implication of the study shows the effort towards Arabic linguistic simplification is effective through WhatsApp applications by enhancing student-level attitudes. Nevertheless, studies on Arabic linguistic simplification based on Arab scholarly models through social media application need to be explored..
Blockchain for GIS: an overview

Distributed technology is an important direction in the field of geographic information system (GIS). However, distributed GIS is facing a number of challenges such as decentralization, geospatial data sharing, and privacy and security vulnerabilities. Blockchain technology brings the opportunities in addressing the challenges of GIS. In this chapter, we investigate the integration of blockchain technology with GIS and discuss the opportunities of blockchain GIS. Moreover, our novel architecture of blockchain GIS is proposed, while the potential applications of blockchain GIS are described in detail. Finally, we outline the open research directions in the promising area.
Game Over: death representations in Virtual Reality Environments

Death is a topic not often focused in game environments, and players frequently experience it through their own virtual eyes, even though its consequences can be nullified in most cases. Still, the impacts of this event affect players long after a game session. Players and game developers have also made posthumous homages within the technical limitations of games as a way to deal with the pain and loss caused by death in the real world. As virtual game environments (VGE) become a stage for human interaction beyond entertainment, it is necessary to understand how users perceive the event of death in them, how it affects them, and how virtual reality (VR) can augment this experience. This work used an online questionnaire to collect game users' demographic data, their opinions about death in VGEs, and offered audiovisual material depicting death in games so they could express their beliefs about them. The research findings concluded that: VR can enhance users' emotional experience; the way death is depicted in a game compels users to either move on from it or pay attention to it; and in games with social elements, volunteers agree that it is interesting to use VGEs in order to help to deal with the pain of death, or even homage the dead. With this article we aim to highlight and encourage discussion on the ways VR and games are allowing users empathic experiences to better understand sensitive topics, and how they can be a viable medium for exploring such difficult subjects.
macOS Built-in Commands

In this chapter, we explore the different commands that came with your copy of the macOS operating system. There are loads of different commands to choose from. A lot of these commands are used to manipulate files or process text.