Reviewerly/exHarmony huggingface dataset:
Research on Classification Method of Answering Questions in Network Classroom Based on Natural Language Processing Technology

In order to overcome the inaccuracy of the current research results of online classroom question-answering classification, a method of online classroom question-answering classification based on natural language processing technology is proposed. The entity relationship model of the network classroom question answering system is constructed, and the model is transformed into the relational data model, the network classroom question answering database is constructed. TF-IDF technology is used to extract curriculum keywords, construct attribute word set, use natural language processing technology to segment students' questions reasonably in the network classroom, convert the words into vectors, calculate the question similarity according to cosine theorem, and then return the answers with the highest degree of similarity to students in the same type of questions. Experimental results show that the classification accuracy of the proposed method is always above 96%, and the user satisfaction is above 94%, with high classification accuracy and user satisfaction.
온라인 해킹 불법 시장 분석: 데이터 마이닝과 소셜 네트워크 분석 활용

Purpose This study collects data of the recently activated online black market and analyzes it to present a specific method for preparing for a hacking attack. This study aims to make safe from the cyber attacks, including hacking, from the perspective of individuals and businesses by closely analyzing hacking methods and tools in a situation where they are easily shared.Design/methodology/approach To prepare for the hacking attack through the online black market, this study uses the routine activity theory to identify the opportunity factors of the hacking attack. Based on this, text mining and social network techniques are applied to reveal the most dangerous areas of security. It finds out suitable targets in routine activity theory through text mining techniques and motivated offenders through social network analysis. Lastly, the absence of guardians and the parts required by guardians are extracted using both analysis techniques simultaneously.Findings As a result of text mining, there was a large supply of hacking gift cards, and the demand to attack sites such as Amazon and Netflix was very high. In addition, interest in accounts and combos was in high demand and supply. As a result of social network analysis, users who actively share hacking information and tools can be identified. When these two analyzes were synthesized, it was found that specialized managers are required in the areas of proxy, maker and many managers are required for the buyer network, and skilled managers are required for the seller network.
The Speed–Accuracy Tradeoff as a Subject of Psychological Analysis

The present research featured the regularities, according to which the accuracy of human movements is associated with the length of these movements and time. The author considered the speed–accuracy tradeoff problem by analyzing the procedural aspect of cognitive performance. The experiment included more than a thousand participants and was performed on a portable touch screen device that tested the subject's attitude to solving problems in terms of speed or accuracy. The research objective was to identify significantly different ways of solving the speed–accuracy tradeoff dilemma. At the fine motor level, the participants failed to accomplish a one-to-one correspondence between target area and target time. This ambiguity was a manifestation of various cognitive strategies for performing a speed–accuracy tradeoff task. The Fitts law violations were determined using a wide range of statistical methods and manifested themselves at the level of criteria analysis for the normality of data distribution, types of variance analysis, and multivariate data analysis. The cluster analysis could register various strategies for performing the speed–accuracy tradeoff task. Additional variables, e.g. professional status of the subjects, made it possible to interpret the differences according to specific skills in solving cognitive tasks and to clarify the nature of these skills.
Analysis of Mandarin Syntactic Errors of Indonesian Learners

This research discusses about Mandarin syntactic errors of Indonesian learners, which performed at elementary stage. It aims to categorize errors and identify it. The researchers follow Corder’s steps in error analysis. Four categories of errors are considered in this paper, namely omission, addition, replacement and disorder. Finally, the researchers seek to explain why the students commit such errors. The results of the data analysis show that most of the syntactic errors are classified as disorder errors. These results indicate that the participants relied heavily on their mother tongue in their usage of the target language. Their errors reveal that lack of Chinese grammatical knowledge and L1 interference may be among the significant reasons for their errors. In order to reduce syntactic errors for students at the elementary stage, teachers should pay more attention to the comparison between Mandarin and their mother tongue, and also need to pay attention to provide the understandable input.
LibGuides: The Literacy Needs of Incarcerated People: Home

Resources on the literacy needs of incarcerated people. Subjects covered include the school-to-prison pipeline, recidivism, corrections programming, literacy empowerment, and roles for advocates.
Harbin Municipal Traffic Congestion Control Countermeasures Based on Big Data

Harbin municipal government fully agrees with the scientific management of traffic, constantly improves the technical level and management level, and establishes the traffic management system, which enables the traffic management department to deal with road accidents in time, and avoid traffic congestion and other traffic problems to be improved.Traffic information sharing shows the intuitiveness of data.In case of congestion, the trend of each department can be seen, which is convenient to control, adjust and record data in time, and promote the progress of cross department business collaboration.The simple information sharing of relevant departments is conducive to the coordination and management, unified planning, and avoid the serious uneven distribution of information and the game between the strong and weak departments.This paper will put forward some problems and corresponding countermeasures for the problems of traffic congestion in Harbin Based on big data.
A Network Analysis of Postwar American Poetry in the Age of Digital Audio Archives

From the New American Poetry to New Formalism, publishing networks such as literary magazines and social scenes such as poetry reading series have served as a capacious mod-el for understanding the varied poetic formations in the postwar period. As audio archives of poetry readings have been digitized in large volumes, Charles Bernstein has suggested that open access to digital archives allows readers of American poetry to create mixtapes in different configurations. Digital archives of poetry readings “offer an intriguing and powerful alternative” to organizing practices such as networks and scenes. Placing Bern-stein’s definition of the digital audio archive into contact with more conventional under-standings of poetic community gives us a composite vision of organizing principles in postwar American poetry. To accomplish this, we compared poetry reading venues as well as audio archives — alongside more familiar print networks constituted by poetry an-thologies and magazines — as important and distinct sites of reception for American poet-ry. We used network analysis to visualize the relationships of individual poets to venues where they have read, archives where their readings are stored, and text anthologies where their poetry has been printed. Examining several types of poetic archives offers us a new perspective in how we perceive the relationships between poets and their “networks and scenes,” understood both in terms of print and audio culture, as well as trends and chang-es in the formation of these poetic communities and affiliations. We suggest that this ap-proach may offer new ways of imagining the multiple dimensions contributing to the so-cial formation of contemporary American poetry.
Brief Analysis on the Imperceptible Effect of Excellent Traditional Culture Education on Students

With the continuous development and progress of modern society, people pay more and more attention to the education of Chinese excellent traditional culture. Therefore, as one of the main training bases of applied talents, higher vocational colleges should not only pay close attention to the actual level of students’ professional skills, but also be able to adapt to the development trend of the new era in real time, and correctly realize the practical significance of traditional excellent cultural education for students’ future development.
AUTOMAT[R]IX: learning simple matrix pipelines

Abstract Matrices are a very common way of representing and working with data in data science and artificial intelligence. Writing a small snippet of code to make a simple matrix transformation is frequently frustrating, especially for those people without an extensive programming expertise. We present AUTOMATIX, a system that is able to induce R program snippets from a single (and possibly partial) matrix transformation example provided by the user. Our learning algorithm is able to induce the correct matrix pipeline snippet by composing primitives from a library. Because of the intractable search space—exponential on the size of the library and the number of primitives to be combined in the snippet, we speed up the process with (1) a typed system that excludes all combinations of primitives with inconsistent mapping between input and output matrix dimensions, and (2) a probabilistic model to estimate the probability of each sequence of primitives from their frequency of use and a text hint provided by the user. We validate AUTOMATIX with a set of real programming queries involving matrices from Stack Overflow, showing that we can learn the transformations efficiently, from just one partial example.
PARAPHRASING STRATEGY IN EFL LEARNERS’ READING SKILL

This research explores EFL students’ paraphrasing ability with goals in identifying EFL learners’ reading skill levels and difficulties. This research used a qualitative method and schema theory. The subjects of this were 11 students of English Education 2019 of Class A in STKIP PGRI Sidoarjo. The results showed that 31.54% of the participants had difficulties in paraphrasing while reading the English text because of the differences in cultural backgrounds, and other difficulties such as constructing ideas, choosing and ordering words, using correct sentence constructions, lacking vocabularies, and knowledge about paraphrasing. Meanwhile, 68.45% of the participants were already familiar with paraphrasing, so that they could identify the solutions for their own difficulties, such as using various sources to learn about paraphrasing, sharing with friends, and asking the lectures or teachers. Additionally, all the participants agreed that paraphrasing would be very helpful in improving their reading ability.
Cybercrime and cybersecurity

Chapter 10 covers EU efforts in cybercrime regulation. Its first part is dedicated to the EU Council Cybercrime Treaty, to which the EU is a signatory. The second part is about attacks against information systems and security of information systems and the corresponding Directives. The final part is about regulation of harmful content including child pornography.
Pengelompokan Komentar Dataset Sentipol dengan Modified K-Means Clustering

Clustering is a technique in data mining thatgroups data sets into similar data clusters. One of thealgorithms that is commonly used for clustering is K-Means.However, the K-Means algorithm has several weaknesses, oneof them is the random factor in initial centroid selection, sothat cluster result is inconsistent even though it is tested withthe exact same data. The Modified K-Means algorithm focuseson selecting the initial centroid to overcome inconsistencies ofcluster results in the K-Means method. The test was conductedusing sentipol dataset and only focused on comment data.Furthermore, the specified number of clusters is 3 based on thenumber of existing comment labels (positive, negative, andneutral). According to testing result proves that Modified KMeans algorithm produces better purity value than K-Meansalgorithm. Modified K-Means algorithm produces average ofpurity value 0,42, while K-Means produces average of purityvalue 0,391. Meanwhile, from testing related to random factorsconducted 5 times with the same attributes and test data, theresults of the cluster on the Modified K-Means algorithm didnot change, so automatically the resulting purity value was alsothe same. Whereas in the K-Means algorithm, the clusterresults always change in each test, so the result of purity valueis also likely to change.
Analysis of ANN Backpropagation Ability to Predict Expenditure Group Inflation

The Covid-19 pandemic that has hit the world, especially Indonesia, has greatly disturbed the stability of the inflation rate. Inflation that continues to increase will disrupt the economy in this country. Therefore this study aims to analyze the ability of ANN backpropagation which will be applied to predict the development of the inflation in Indonesia during the Covid-19 pandemic so that later it can be useful information for the government and society. The research data used is inflation data according to expenditure groups obtained from CBS (Central Statistics Agency) in January-May 2020. Prediction is done using the backpropagation neural network algorithm. This paper uses four network architectures, namely: 3-5-1, 3-10-1, 3-25-1 and 3-50-1. Based on the training and testing of the four models, the 3-10-1 model is the best architectural model that is suitable for predicting the development of the inflation in Indonesia with an accuracy of 75%. Also, this model performs an iteration of 25303 and an MSE test of 0.0362820326. Based on the prediction results in June-August 2020 and real data obtained from the Central Statistics Agency, ANN using the backpropagation method is highly recommended to be used to predict the development of Indonesian Inflation according to the Expenditure Group.
Vertex-voting-based polygonal object detection

Although the pixel-wise labelling approaches have been exploited in depth and achieve good results in segmentation tasks, the grouped pixels are not ideal output for many end-users. In this paper, we propose a vertex-voting-based approach that can directly extract the polygon representations of objects. In order to better solve overlapping scenarios, we also propose a novel method that distinguishes objects by learning a virtual depth axis. When compared with the state-of-the-art method, our experiments demonstrate that this voting-based method is more robust to occlusion and shows a potential research direction.
ABOUT HE PROFESSIONAL PREPARATION OF FUTURE TEACHER SPEECH THERAPIST

The contemporaneity needs of deep and comprehensive of modernization in the sphere higher education with allocation necessity for it resources and creating of mechanisms in their effective application. The European integrative direction of education will demand of ensuring of quality in the educational services in the process professional preparation of future specialists. Generally speaking, educational services must be more attractive, it must be improve by way of the sense improvement. The professional preparation of specialists in the branch of special education needs seeking off-standard of ways in the organization of teaching process. At the same time, the integration of educational subjects into professional preparation future teacher-speech therapists is a task of high priority. The integrative approach manifests itself in a job description. Differently, the job description presents as a process and result creating the unified, united integral educational system in the preparation future teacher-speech therapists. Then it needs carry out of searching and realization of different ways and manners in integration of the educational programs on the different level of professional preparation. That said, the professional composition at the preparation of a teacher-speech therapist accelerates forming of persuasions and the scientific outlook formation for future specialists and also trains students for the successful professional activities.
Penetration Testing Database Menggunakan Metode SQL Injection Via SQLMap di Termux

&lt;p class="infAbstract"&gt;&lt;em&gt;Abstrak : &lt;/em&gt;&lt;/p&gt;&lt;p class="infAbstract"&gt;Penetration testing (Pentesting) merupakan sebuah metode evaluasi terhadap keamanan pada suatu sistem dan jaringan komputer dengan melakukan suatu pengujian, salah satu metode pengujian yang dapat digunakan adalah SQL Injection. SQL Injection merupakan suatu teknik hacking dengan fokus pengujian pada database sebagai media penyimpanan data pada sistem. Tool yang digunakan pada penelitian ini ialah SQLMap yang merupakan tool open source yang dapat menganalisa, mendeteksi dan melakukan exploit (sebuah kode yang dapat menyerang keamanan sistem komputer secara spesifik) pada bug SQL Injection. Pengujian dilakukan menggunakan perangkat Smartphone bersistem operasi Android dengan program aplikasi Termux sebagai emulator terminal berbasis linux. Tujuan dari penelitian ini untuk pengujian keamanan database web server dan membantu pengelola atau admin situs web untuk dapat memeriksa adanya celah kerentanan database yang dapat dieskploitasi oleh peretas.&lt;/p&gt;&lt;p class="infAbstract"&gt;____________________________&lt;/p&gt;&lt;p class="infAbstract"&gt;Abstract :&lt;/p&gt;&lt;p&gt;&lt;em&gt;Penetration testing&lt;/em&gt;&lt;em&gt; (Pentest&lt;/em&gt;&lt;em&gt;ing&lt;/em&gt;&lt;em&gt;) is a method of evaluating the security of a computer system and network by conducting a test, one of the testing methods that can be used is SQL Injection . SQL Injection is a hacking technique that focuses on testing the database as a data storage medium on the system. The tool used in this study is SQLMap which is an open source tool that can analyze, detect and exploit (a code that can specifically attack computer system security) on the SQL Injection bug. Testing was carried out using a Smartphone device with the Android operating system with the Termux application program as a linux-based terminal emulator. The purpose of this research is to test the security of the web server database and help the website manager or admin to be able to check for any database vulnerabilities that can be exploited by hackers.&lt;/em&gt;&lt;/p&gt;&lt;p class="infAbstract"&gt;&lt;em&gt;&lt;br /&gt;&lt;/em&gt;&lt;/p&gt;
Possibility Theory and Possibilistic Logic: Tools for Reasoning Under and About Incomplete Information

This brief overview provides a quick survey of qualitative possibility theory and possibilistic logic along with their applications to various forms of epistemic reasoning under and about incomplete information. It is highlighted that this formalism has the potential of relating various independently introduced logics for epistemic reasoning.
Incredible Doom by Matthew Bogart

Reviewed by: Incredible Doom by Matthew Bogart Alaine Martaus Bogart, Matthew Incredible Doom; written and illus. by Matthew Bogart and Jesse Holden. HarperAlley, 2021 [288p] (Incredible Doom) Trade ed. ISBN 9780063064942 $24.99 Paper ed. ISBN 9780063064935 $16.99 E-book ed. ISBN 9780063064959 $10.99 Reviewed from digital galleys R Gr. 8-12 Teens Allison and Samir, Richard and Tina are two sets of misfits brought together by a local online bulletin board system in the early days of networked home computers in the 1990s. Allison, escaping virtually from an abusive father, finds solace online and friendship (and maybe more) with fellow outsider Sam, while bullied new kid [End Page 375] Richard is looking for a friend but finds an underground network of rebels looking for trouble, and maybe a cause. When Allison runs away from home and Tina runs into trouble with the cops, these tech-savvy teens undercover answers waiting on the internet and, more importantly, discover offline interpersonal connections that create safe spaces for all. Rendered in black, white and blue panels but rife with rose-tinted nostalgia, this quirky graphic novel, a collection of Bogart’s serial comics, offers a window into the days when nascent computer networks were a haven from harsh realities. Offline drama provides a focus for the action, of which there is plenty, and abuse, bullying, and social isolation underscore the lure of a newly online world, where information empowers and seeming strangers offer acceptance and open arms. Most characters are white, with only half-Black, half-Iranian Samir as a nod to diversity, though the novel wistfully remembers the early ideal of an online world where common interests outweighed other identifiers. The text-based world of the pre-graphical interface computer may seem an odd fit for a graphic novel, but images of computer screens and the occasional ASCII code illustration ultimately draw a different vision of the internet readers may think they know. Copyright © 2021 The Board of Trustees of the University of Illinois
Advanced Telecom Systems to Facilitate Collaborative Decision-making in Distributed Settings

The paper presents several practical issues concerning the multi-participant decision-making processes with emphasis on the crowdsourcing approach.The development of effective modern telecom systems that enable effective operations of multi-participant decision units are detailed.System scalability and operator's agility to incorporate continuous changing technologies challenge further research.
Diatopia, competenze passive e didattica della L2: Riflessioni teoriche e proposta di descrittori. I casi dello spagnolo (ELE) e del francese (FLE)

Spanish and French are both languages which have a long-standing monocentric linguistic standardization tradition, however they also possess polycentric features, clearly visible - albeit incomplete and largely insufficient - in glottodidactics and related materials. This paper aims to raise awareness of the sociolinguistic dimension in second language teaching, by first providing a thorough theoretical outline surrounding the issue, followed by scale descriptors referring to the introduction of diatopic variations during the second language learning process, with differentiated issues in Spanish an French by considering intrinsic specificities of each language.
Analysis of Wavelet Packet Tree Decomposition to Create Image Pattern to be Used in Image Classification System

Digital data and the most widespread due to their use in many vital and important applications for humans, especially in classification and image recognition systems. Due to the large size of the color image, it is pereferable to represent the color image by a unique pattern consisting of a small number of elements. In this paper research we will introduce a wavelet packet tree decomposition as a good method og extracting images patterns. We will study and analyze verious approaches of using wavelet packet tree decomposition, some recommendation will be done in order to fix the pattern length and make it capapale to be used correctly in a classification tool.