Reviewerly/exHarmony huggingface dataset:
The Difference in Career Barriers, Career Resilience, Career Preparation Behaviors by Career Decision-Making Types in College Students

이 연구는 대학생들의 진로의사결정유형의 하위유형에 따라 진로장벽 인식, 진로탄력성, 진로준비행동에서 차이가 있는지를 확인하기 위해 진행되었다. 자료 수집을 위해 전국의 대학교 3, 4학년을 대상으로 설문조사를 실시하였다. 연구결과는 다음과 같다. 첫째, 군집분석을 실시한 결과, 진로의사결정유형의 수준에 따라 합리적 집단, 의사결정 어려움 집단, 다중형 의사결정 집단, 의존적 집단으로 분류되었다. 둘째, 군집 집단에 따른 진로장벽의 차이가 통계적으로 유의미하였으며, 합리적 집단의 진로장벽이 가장 낮았으며, 다중형 의사결정 집단의 진로장벽이 가장 높았다. 셋째, 군집 집단에 따른 진로탄력성의 차이가 통계적으로 유의미하였으며, 다중형 의사결정 집단의 진로탄력성이 가장 높고, 의사결정 어려움 집단의 진로탄력성이 가장 낮았다. 셋째, 진로준비행동의 차이 역시 통계적으로 유의미한 것으로 나타났으며 다중형 집단의 진로준비행동 수준이 가장 높았고, 의사결정 어려움 집단의 진로준비행동 수준이 가장 낮았다. 이상의 결과를 바탕으로 대학생의 진로의사결정유형을 고려하여 진로탄력성과 진로준비행동을 촉진하고, 인식하고 있는 진로장벽을 극복해나갈 수 있도록 맞춤형 진로지도나 프로그램을 제공할 필요가 있을 것이다.This study was to examine the differences in career barriers, career resilience, and career preparation behaviors by the career decision-making types. For the purpose, a survey was conducted with the juniors and seniors in college. The findings are summarized as follows. First, the result of the cluster analysis revealed four different clusters of career decision-making types: Rational type, Difficulty in Decision-making type, Multiple Decision-making type, and Dependent type. Second, there were statistically significant differences by career decision-making types in perceived career barriers. The levels of perceived career barriers were lowest in the Rational type, and highest in the Multiple Decision-making type. Third, there were statistically significant differences in career resilience. The levels of career resilience were lowest in the Difficulty in Decision-making type, and highest in the Multiple Decision-making type. Forth, there were statistically significant differences by career decision-making types in career preparation behaviors. Career preparation behaviors were lowest in the Difficulty in Decision-making type, and the highest in the Multiple Decision-making type. This study shows that it is necessary for university to provide career counseling and career programs in consideration of students’career decision-making types to help them promote career preparation behaviors and career resilience and overcome perceived career barriers.
KNOWLEDGE-ENHANCED ATTENTIVE LEARNING FOR ANSWERSELECTION IN COMMUNITY QUESTION ANSWERING SYSTEMS

In before period if we need any items for the daily life we directly went to the shop and bought the item. If theitem is the regularly purchased item is not a problem. But if the item is new to the market or if we buy the product at thefirst item we dont have any idea about the product. We directly purchased the item and after the using the item we canable to find whether the product is the good or bad. But nowadays we can buy the products in the online. In this paperthey propose the community detection. If the product we want to buy we can directly searched the product and read thereview. The review has the question and answer. These question and answer statement can provide the essentials detailsabout the product. With the help of these comments we can calculate the quality of the product. This system can beimplemented using community detection. It can provide the efficiency of about 93% with more positive outcome.
Biblioteconomia social, crítica e progressista: mapeamento da produção científica nacional e internacional

Library Science is a scientific field that has presented in recent decades the strongest discussion about its social character and the importance of moving away from a conservative base. Thus, new qualifying terms of this area can be found, for example, Social, Progressive and Critical Library Science. This alternative use and its production is the focus of this research whose general objective is to map the indexed scientific production in different databases. The methodological procedure selected was the bibliometrics of quantitative nature, which aims, at this first moment, to identify the occurrence of the terms, in Portuguese, “Biblioteconomia Social”, “Biblioteconomia Progressista” e “Biblioteconomia Critica”, as well as the corresponding terms in English “Social Library Science”, “Progressive Library Science” and “Critical Library Science”. Thus, two databases were intentionally selected, one from Brazil and other international, for data collection, namely: Base de Dados em Ciencia da Informacao (BRAPCI) and Library and Information Science Abstracts (LISA). The search with the terms in these databases took place in January 2019, therefore, the collected data were tabulated and presented in this paper. It was possible to notice that the use of the terms is still little present in the library science production, considering that they started to be used from the 2000s. In Brazil, the “watershed” was the Congresso Brasileiro de Biblioteconomia, Documentacao e Ciencia da Informacao [Brazilian Congress of Library, Documentation and Information Science] (CBBD), in 2017, having in one of the thematic axes the presence of the term “Social Library Science”.
DEVELOPING SUPPLEMENTARY ENGLISH-SPEAKING MATERIAL FOR THE SEVENTH GRADER OF ISLAMIC HIGH SCHOOL

In this present globalization Era, teaching English with the goal as a tool for communication is necessary. In line with it, MTs Al Karimi 1, however, has commitment to create students to be able to use English as a tool for communication in everyday life. Due to the reason, this research has been conducted. This study aimed to develop English speaking materials and solve the problem during teaching and learning English for the seventh grader of Islamic High School. The study conducted in MTs Al Karimi 1 Gresik. The design of this study was Research and Development (RD 2) reviewing the problem into the theory; 3) conducting need assessment and needs analysis; 4) gathering materials; 5) writing manuscript; 6) verifying to the expert; 7) revising; 8) validating to the experts. The result in this development was the supplementary English-speaking text book for the seventh grader of Islamic high school. The supplementary book contained the attractive cover, preface, table of contents, book mapping, colorful pictures and photos, good coherent and illustration. It has nine chapters with the topics which were chosen under the consideration of the students’ need. The strength of this product is on the basic common useful expressions, these basic common useful expressions are also translated to Indonesia equivalent since the students’ level of English proficiency is in intermediate level. By that way, the students are motivated and are easy to use the developed materials both inside and outside the classroom.
Mathematics self-schema, motivation, and subject choice intention: A multiphase investigation.

What motivates high school students to persist with challenging mathematics? The current investigation examined this important question using the concept of mathematics self-schema, that is, students’ cognitive generalizations of their selves in learning mathematics. Mathematics self-schemas are important sources of motivation. It was hypothesized that students who hold contrasting mathematics self-schemas would learn challenging mathematics and formulate their subject choice intention differently. Study 1 surveyed 373 Year 10 Australian students and classified them into 3 schematic groups based on their survey responses. The results showed that positive, average, and negative schematics held contrasting goals, strategies, and performance expectation when dealing with challenging mathematics. More positive schematics compared with the other groups intended to take advanced mathematics in senior high school. Study 2 used an experimental design to compare positive and negative schematics’ contrasting responses when dealing with difficult tests. Seventy-one students drawn from Study 1 joined Study 2. The findings confirmed the differences between these 2 groups. Study 3 randomly assigned 106 average schematics located in Study 1 to positive schematic, negative schematic, and control conditions. Students in the positive and negative conditions were primed to think and act like a schematic corresponding to their assigned condition before completing a challenging test. The results showed that average schematics in the induced conditions acted and responded to the challenging test in a way similar to corresponding positive and negative schematics. The article discusses mathematics self-schemas as a source of motivation for understanding students’ engagement in and subject choice intention for challenging mathematics. (PsycInfo Database Record (c) 2021 APA, all rights reserved)
An Analysis of the Eighth Grade Students’ Ability in Comprehending Recount Text at SMP N 2 Kinali Psaman Barat.

Recount text is a kind of text that tells the reader what happened in the past. Recount text has different characters from the other kind of texts. It has different purpose, generic structure, and language feature. That is why the students should comprehend the text to be able to differentiate each text. The population of this research was the eighth grade students. The total number of population of this research was 133 students. The researcher applied stratified cluster random sampling to take the sample. The total number of the sample was 30 students. The instrument used is reading test. The test was reliable because the correlation coefficient of the test was 0.75. The result of this research showed that the students’ ability in comprehending recount text was moderate. It is proved by the fact that 60% students had high ability. In specific, students ability in comprehending the orientation of the text was moderate. It is supported by the fact that 87% had moderate ability. The ability of the students in comprehending the event of the text was moderate. It is supported by the fact that 77% students had high ability. The ability of the students in comprehending the reorientation was moderate. It is supported by the fact that 77% students had moderate ability. Based on the result of this research, the researcher concluded that the   ability of the eighth grade students’ ability in comprehending recount text was moderate. Dealing with conclusion, the researcher suggests to the English teachers to find and implement the more effective techniques of teaching and give more exercises to the students. The students are suggested to improve their ability by doing more exercises relating to the generic structure of recount text. Key words: Students’ Ability, Recount Text, Reading Comprehension.
PENGEMBANGAN MEDIA POP UP TERHADAP KETERAMPILAN MEMBACA PERMULAAN SISWA KELAS 1 SD

Beginning reading is the stages of the process of learning to read for elementary school students in the  early grades. Students learn to acquire  abilities  and master reading techniques and capture reading contents well. Therefore, teachers need to design learning to read well so that they can foster reading habits as something fun. One of the factors that causes children’s reading ability is low is the media used by the teacher is not interesting so students are bored. One of the objectives of this research is to develop pop up media for early reading skills. The method used in this study is research development ( research and development), this delelopment model consists of 4 stages, namely: potential and problems, data collection, product design, product validation. This learning media uses a questionnaire to evaluate the quality of the media. The results of this research are pop up media products that have validated by each expert 1. Expert learning material aspects with a score of 4.3 categories is very good, aspects of the contents of the score 3.6 categories are good. 2.  Media aspect experts display with a score of 3.7 good categories, programming aspects score 3.75 good categories. 3. Linguists in the aspect of language use with a score of 4.3 are very good. Based on these results it can be concluded the pop up media that have been developed are suitable for use or field trials,
LibGuides: Open Educational Resources: USIU-Africa Digital Repository

Designed to be useful and relevant, this guide will provide you with access to a range of key freely available scholarly and academic resources to aid your studies/research in various disciplines
P-HYPE: A monadic situation semantics for hyperintensional side effects

P-HYPE is a hyperintensional situation semantics in which hyperintensionality is modelled as a ‘side effect’, as this term has been understood in natural language semantics, Charlow (2014); Shan (2007), and in functional programming. We use monads from category theory in order to ‘upgrade’ an ordinary intensional semantics to a possible hyperintensional counterpart. Hyperintensional side effects are analysed as a special type of perspective sensitivity. We combine Asudeh and Giorgolo’s (2016) perspective sensitive semantic theory with a hyperintensional situation semantics, HYPE (Leitgeb, 2018), a logic with connections of Barwise and Perry’s (1983) situation semantics, truthmaker semantics (Fine, 2017) and data semantics (Veltman, 1985). P-HYPE builds on the account of Asudeh and Giorgolo (2016), by carving out a notion of perspectives as special sets of situations which can be combined together via a fusion relation. In addition, we are able to capture the utterer’s perspective on other people’s perspectives, a phenomenon that plays a role in Asudeh and Giorgolo (2016) but which is not formally defined by them.
Analyses of minerals and elemental oxides in rocks from Waltadi district, Song, Adamawa state Nigeria

Rock samples from six locations namely: Wataldi, Teuta, Kubta, Gumta, Dumneza and Wazo, within Waltadi district of Song Local government, Adamawa State, Nigeria, were studied qualitatively and quantitatively using X-ray diffraction (XRD) and energy dispersive X-ray fluorescence (EDXRF) respectively. Results obtained showed the presence of minerals including: Quartz, albite, rutile, sylvine, barite, chalcopyrite, kaonilite, anatase, stolzite, marshitecovellite and fluorannite. The major elemental oxides obtained includes: silicon oxide (SiO2), aluminium oxide (Al2O3), ferric oxide (Fe2O3), calcium oxide (CaO), Magnesium oxide (MgO), potassium oxide (K2O), sodium oxide(Na2O) and sulfur trioxide. Minor oxides were also obtained, where lead, cerium, indium, vanadium, titanium, and barium were found in trace amounts except in Teuta, where barium oxide and titanium oxide were recorded in relatively higher percentages. The highest loss on ignition (LOI) values were recorded in Dumne-za and Waltadi (5.12 % and 4.28 % respectively), while the lowest value was in Teuta (0.98 %). LOI results indicated that hydrothermal alteration in the rock samples differs: however, the magnitudes fall within low to moderate range.
Smooth neighborhood recommender systems

Recommender systems predict users' preferences over a large number of items by pooling similar information from other users and/or items in the presence of sparse observations. One major challenge ...
Subject guides: Text and data mining: 2. Creating a dataset

An introduction to text and data mining concepts and an overview of the steps involved in undertaking text and data mining as part of a research project.
Contrast Adjustment Forensics Based on Second-Order Statistical and Deep Learning Features

Contrast adjustment (CA) is one of the most common digital image retouching methods. However, it is often used to hide the traces of tampering, and thus has become an indirect evidence of image forgery. Therefore, CA blind detection has attracted widespread attention in the field of image forensics in recent years. Considering forensic methods based on first-order statistical features are vulnerable to encountering anti-forensic and other operation attacks, an second-order statistical-based CA forensics method using improved Gray-Level Co-occurrence Matrix (GLCM) network is proposed. Different from conventional CNN, which usually takes the image as input, this method can convert input images of different resolution into a uniform size GLCM matrix, in which GLCM adds four more directions to the traditional direction, and then learns the distribution features from GLCM through CNN layers and classifies them. Through active learning the hierarchical feature representation and optimizing the classification results, the proposed network is more suitable for detecting contrast adjustment tampering. Experimental results show that the proposed method can not only detect traditional CA, but also detect the CA image of anti-forensic attacks, and its performance is better than conventional forensic methods.
Room Surveillance using Convolutional Neural Networks - Based Computer Vision System

Intelligent systems are capable of performing several tasks with high reliability and efficiency.Hence, these systems were used to perform tasks which are usually done by humans.In the event of facility breach or in times when primary security systems were compromised, a call for secondary line of security is needed.In this study, it is intended to design a convolutional neural network -based computer vision system that can possibly determine whether a person entering a vicinity is authorized or not using face, height, and built recognition with gender sensitivity.The designed system was able to obtain balanced precision and recall as well as achieving more than 0.9 F1 scores.This is a complementary technology that can work with automated locks or security systems.
IoT Based Framework for Remote Monitoring of Heartbeat Alert System by Using Arduino

The heart is one of the most important organs of the human body. It acts as a pump that circulates the blood, carrying oxygen and nutrients in the body to keep it functioning. Today, several advanced methods have emerged in the field of medicine, which aim to improve the efficiency of the medical services. And these new methods are akin to a technical identification of the disease with high precision, a new radiological technology and a fashionable identification of medical health. In the medical department, several studies are underway to provide the latest technologies. There are some people suffer from bradycardia or tachycardia. Might their lives are in danger if the patients are alone. In this research paper, a framework is developed to solve and improve equipment that constantly monitors heart rate and prevent casualties due to the heart related problems. The research is done to reduce deaths resulting from irregular heartbeat. Uneven heart rating which is greater than determined value raises an alert and messages with heart readings are sent to doctors and other related persons. It also provides this information via Bluetooth and exposes it in the Arduino application platform to ensure the information is not corrupted and recalled on demand. Doctor can remotely access the sensing element. For this reason, Arduino-based sensors dealing with these problems are used in this smart application. An Arduino-based sensing element evaluates the patient's heart rate. Coupled with this, doctors remotely follow the patient and take quick action to save patients life.
Camera Style Guided Feature Generation for Person Re-identification

Camera variance has always been a troublesome matter in person re-identification (re-ID). Recently, more and more interests have grown in alleviating the camera variance problem by data augmentation through generative models. However, these methods, mostly based on image-level generative adversarial networks (GANs), require huge computational power during the training process of generative models. In this paper, we propose to solve the person re-ID problem by adopting a feature level camera-style guided GAN, which can serve as an intra-class augmentation method to enhance the model robustness against camera variance. Specifically, the proposed method makes camera-style transfer on input features while preserving the corresponding identity information. Moreover, the training process can be directly injected into the re-ID task in an end-to-end manner, which means we can deploy our methods with much less time and space costs. Experiments show the validity of the generative model and its benefits towards re-ID performance on Market-1501 and DukeMTMC-reID datasets.
Machine Learning Based Sentiment Analysis on Twitter Data

This paper addresses the problem of sentiment analysis in twitter; that is characterizing tweets as per the feeling communicated in them: positive, negative, or impartial.Twitter is online small-scale blogging and person to person communication stage which permits clients to compose short notices of greatest length 140 characters.It is a quickly extending administration with more than 200 million enlisted clients -out of which 100 million are dynamic clients and half of them sign on twitter day by day -creating almost 250 million tweets for every day.Because of this huge measure of use, we would like to accomplish an impression of open estimation by dissecting the notions communicated in the tweets.Tearing down the open evaluation is critical for certain applications, for instance, firms endeavouring to find the response of their things in the market, predicting political choices and envisioning monetary wonders like the stock exchange.The point of this task is to build up a practical classifier for exact and programmed feeling grouping of an obscure tweet stream by utilizing the convolutional neural system.
نمـوذج تخطيطـي لتحقيـق العدالـة الاجتماعيـة في التعليم الأساسي على ضوء نظرية إعادة الإنتاج الاجتماعي

Planning Model for Achieving Social Justice in Basic Education in Light of Social Reproduction Theory
PEMEROLEHAN BAHASA ANAK USIA 3 TAHUN PADA TATARAN FONOLOGI

Language is a communication device that humans use to interact with fellow humans. They are dynamic and unique because they will continue to grow and grow as the ages grow. Language development may be marked by either a new term or a change in its meaning. Every language has its own distinctive feature. The purpose of this study is to identify the language of 3-year-olds by analyzing spoken speech. The method used is a qualitative descriptive method with a competent libat. In this case the writer described the results of his analysis. Researchers listen closely and listen to speech uttered by children, as well as researchers engage directly in communication activities and interact with children on the subject of research. Researchers ran a diagnostic analysis into the phonology landscape, with the majority of 3-year-olds removing or replacing the phones as they should. It is a fair one, since at age 3 an articulation and mastery of a child's language are not yet adequate, so it is best to tell a story and communicate well, for that is how the child has gained a new language.
UIC Safety Platform Steering Group meeting held on 26 June 2019 at DB AG in Berlin – UIC Communications

Rolf Hardi, UIC Safety Platform Chairman welcomed all participants in Berlin. Bart Hoogcarspel, ProRail; Rikie Eloot, Infrabel; Masayoshi Toyohara, JR East and Alexander Ivanenko, RZD presented…
Demonstration of Privacy Stealing Attack via Smart Speakers

Recently, the product of smart speakers becomes mature and popular. Since the voice assistant of the smart speaker is always listening to users’ commands to issue services, it leads to security vulnerabilities. We find that the login password for root access to the UART ports of the XIAOMI smart speakers is either not configured or configured by certain pattern which can be accessed by using system commands. After login as root, we can inject malware into XIAOMI smart speakers so that we can eavesdrop on conversations between user and voice assistant to perform privacy stealing attack, even when users turn off the microphone. We demonstrate three attack scenarios including eavesdropping, spear phishing, and passive phishing. Finally, we propose mitigations to such attacks for both manufacturers and user.