Reviewerly/exHarmony huggingface dataset:
THE INFLUENCE OF STUDENTS’ MOTIVATION AND ATTITUDES IN ENGLISH LEARNING TOWARD THEIR ENGLISH ACHIEVEMENT AT EDI MANCORO ISLAMIC BOARDING SCHOOL

Ardiana, Yesy Ashriati. 2020. The Influence of Students’ Motivation and Attitudes in English Learning Toward Their English Achievement at Edi Mancoro Islamic Boarding School. A graduating paper submitted to the board of examiners as partial fulfillment of the requirements for the bachelor degree of Sarjana Pendidikan (S.Pd). English Education Department. Teacher Training and Education Faculty. State Institute for Islamic Studies Salatiga. Counselor: Heru Saputra, S.Pd.I., M.A.This study is aimed answering the following research questions: (1) How is the influence of motivation in English learning toward students’ English achievement at Edi Mancoro Boarding School? (2) How is the influence of attitude in English learning toward students’ English achievement at Edi Mancoro Boarding School? (3) How is the simultaneous influence of motivations and attitudes in English learning toward students’ English achievement at Edi Mancoro Boarding School?This research was conducted to know and find out the influence of motivation and attitudes in English learning in English learning toward students’ English achievement at Edi Mancoro Boarding School. The subject of this research was students of Kelas Bahasa at Edi Mancoro Islamic Boarding School. It considered 44 students. The methodology of this research is quantitative research. Data collected through students’ response to the questionnaire and report score. There data was tested the validity and reliability using SPSS IMB 25.0, it showed that the instrument was accepted with of the validity and reliable with Sig. >0.3 also the normality test was normaly distributed with sig 0.73> 0.05. The result of the research was found several findings based on the analysis of the students’ test result. There are three results: 1) Motivation has positive influence with sig score 0.036 t table 2.018, 2) Attitude has no positive influence with sig score 0.805> 0.05 and t count -0.248 f table 3.219 and have 17.5% contribution toward English achievement. So, the influence of students’ motivation and attitudes in English learning toward their English achievement at Edi Mancoro Islamic Boarding School was positive and significance.
THE EFFECTIVENESS OF FLASHCARD IN TEACHING VOCABULARY AT THE 7TH GRADE OF SMPN 5 ALALAK SCHOOL YEAR 2019/2020

Media is a procedure in giving instruction to the students that aims to increase student’s ability. One of them is picture series media for writing learning. Pictures are very helpful media to avoid misunderstanding of the questions since the students can relate the question to the pictures given. Pictures have an important role in the understanding of meaning. They give illustration of something and make it clear. The researcher chose class 9thgrade as the sample of this study. It consist of 76 students. Here the researcher used survey quantitative because the researcher only focuses to found students’ perception of using picture series in writing procedure text. particular population by used questionnaires a tool to collect basic data as a type test. The researcher found the students’ perception of using picture series in writing procedure text in Mts Mamba”ul Ulum Barito Selatan is low.
User Centric Security Models for Improving the Data Security from SQL Injections and Cross Site Scripting Attacks

SQL Injection Attacks (SQLIA) and Cross-site Scripting Attacks (XSSA) are frequently used by hackers to hack the user data.  SQL Injection (SQLI) executes malicious code in the form of SQL statement at database by directly executing the query or changing the requested parameters, changing the triggered URL.  In case of Cross-Site Scripting, the attacker targets to execute the malicious code at the client side.
The use of modified GRASP to teach students’ reading comprehension

This research is conducted to find out: 1) the significant difference on students’ reading comprehension before and after the implementation of GRASP; 2) the difference on reading aspect through modified GRASP; and 3) the correlation between students’ self-esteem and reading comprehension.This quasi-experimental research uses one group pre-test post-test design. It applies modified GRASP on students’ reading comprehension. The samples, taken purposively, are 30 students of the tenth grader. The result shows that there is difference of students’ reading comprehension before and after taught by GRASP and there is significant improvement between pretest of posttest. Based on the calculation of the reading aspects, it can be seen that the aspect of references became the lowest aspect that can be mastered by the students on the original GRASP (Pretest) class. After the researcher modified the GRASP, there was improvement in the aspect of references, especially main idea. Furthermore, there is correlation between students’ self-esteem with students’ reading comprehension. Keywords: Self-Esteem, Modified GRASP and Reading Comprehension Penelitian ini dilakukan untuk mengetahui: 1) perbedaan yang signifikan pada pemahaman membaca siswa sebelum dan sesudah implementasi GRASP; 2) perbedaan pada aspek membaca melalui modifikasi GRASP; dan 3) korelasi antara harga diri siswa dan pemahaman membaca siswa. Penelitian kuasi-eksperimental ini menggunakan satu kelompok pre-test post-test design. Penelitian ini memodifikasi GRASP untuk meneliti pemahaman membaca siswa. Sampel yang diambil secara purposive terdiri dari 30 siswa kelas sepuluh. Hasil penelitian menunjukkan ada perbedaan pemahaman membaca siswa sebelum dan sesudah diajarkan menggunakan GRASP dan ada peningkatan yang signifikan antara pretest dan posttest. Berdasarkan perhitungan aspek membaca, dapat dilihat bahwa aspek referensi menjadi aspek terendah yang dapat dikuasai oleh siswa pada kelas GRASP (Pretest). Selanjutnya, setelah peneliti memodifikasi GRASP, ada peningkatan dalam aspek referensi, terutama ide utama.Disamping itu, ada korelasi antara harga diri siswa dengan pemahaman membaca siswa.
Investigating Student Satisfaction With Distance Learning and Influencing Factors: A Case of Korean EFL Middle School Students

The purpose of this paper was to investigate student perceptions and satisfaction of distance learning (online classes) in Korea. This study also examined factors affecting Student Satisfaction with Online Classes (SSOC) using a survey. The participants of the survey were from middle schools, and responses were obtained from a total of 971 students. The data were collected through an online survey tool called Eureka and statistically analyzed. The research findings show that there was a significant difference between gender and SSOC. A one-way ANOVA and a Scheffe post hoc test showed that there were statistically significant differences between grades. The Pearson product moment correlation (PPMC) indicated that there was a significant positive relationship between teacher’s feedback, interaction, motivation, and SSOC. On the other hand, there was a significant negative correlation between technical problems and SSOC. Students preferred immediate feedback from teachers and they suggested that online classes should provide more opportunities for interaction between teachers and students to make successful online classes. This research provides insights about aspects to consider for English teachers when they teach English online to keep students engaged in online classes.
Error Analysis on Grammatical Aspects in The Students Writing Essay (Case Study At The Fourth Semester Students Of English Education Programme Of STKIP Taman Siswa Bima.

The purpose of this study was to describe what kinds of error do the students in their writing essay and to describe the reasons why the students make the error in their writing essay at the four semester students of English education Programe of STKIP Taman Siswa Bima. This study applied case study method. The method unsuited to the error analysis procedures (following Chen, 2006:6) informed the processes to analyze the data consisted four steps were Data collection , Identification of errors, Classification of errors into error types, A statement of error frequency, Find out the case of error. The result of this research was concluded that the grammatical errors made by the fourth semester students of STKIP Taman Siswa Bima in writing essay are in Punctuation and Spelling for the highest errors 50.1%, the second is errors in Sentence Pattern 16%, followed by Auxiliaries 6,1%, Preposition 5.26%, Passive voice 4.48%, Verb Tense and Form 4.2%, Subject-verb agreement 4.0%, Articles 4%, Plurality 3.8%, Word order 2.3% and Pronoun 1,1% of 521 errors obtained from their essays. The cause of error based on interview was succession approximation system.
Applying Filters to Identify a Person Based on a Face Image

Today, there are many different types of systems that require a user identification procedure. Most often, identification in such systems occurs by entering a login and password, presenting a magnetic card, token, electronic pass and other identifying documents, which, as you know, can be easily lost, forgotten or forged. To solve this problem, biometric identification systems were invented, which are based on the unique biological characteristics of a person, which are difficult to fake and which uniquely identify a specific person. This article is devoted to the study of the capabilities of the Wiener filter to improve the accuracy of biometric face identification. The object of research is the recognition algorithm HOG or “Histogram of oriented gradients” using the dlib, opencv libraries. The Wiener filter is applied to restore low-quality images. The process of development of two software modules is described - face recognition by photo and application of the Wiener filter for distorted images. Python and C ++ were chosen as programming languages. Images are both regular photos and stills from a video file. Two types of image distortion are considered - Gaussian blur and Motion blur. For these distortions, experiments were carried out to measure the Euclidean distance in order to find out the effectiveness of the filter.
Teaching Vocabulary to Young Learners Using Picture Books (An Experimental Research at the Fifth Grade of SDN TELUK 1 Labuan)

Nurul Hudayanti. 152301885. 2019. Teaching Vocabulary to Young Learners Using Picture Books (An Experimental Research at the Fifth Grade of SDN TELUK 1 Labuan).The research investigates the use of Teaching Vocabulary to Young Learners Using Picture Books at the Fifth Grade of SDN TELUK 1 Labuan. The aims of this research were 1) to find out student’s vocabularies mastery at fifth grade of SDN Teluk 1 Labuan, 2) to describe picture books applied in teaching vocabularies at fifth grade of SDN TELUK 1 Labuan, and 3) to find out influence of picture books toward students vocabularies at fifth grade of SDN TELUK 1 Labuan. The method used in this research was quasi experiment with the samples are 40 students. They are divided into two classes, 20 students in experimental class and 20 students in control class. Furthermore, the writer used pre-test and post-test to collect the data. The result showed that the students’ vocabularies which using picture books had better performance than those who had not used picture books. After calculateing the data using t-test, the value of tobservation was 9,3 with the degree of freedom 38 in the degree significance 5% = 2,024 and in degree significance 1% = 2,711. It was found that to > tt = 9,3 > 2,024 in degree significance 5% and to > tt = 9,3 > 2,711 in degree significance 1%. It means the significant effect of using picture books to improve students’ vocabulary.
Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive Evaluation

Privacy concerns around sharing personally identifiable information are a major practical barrier to data sharing in medical research. However, in many cases, researchers have no interest in a particular individual's information but rather aim to derive insights at the level of cohorts. Here, we utilize Generative Adversarial Networks (GANs) to create derived medical imaging datasets consisting entirely of synthetic patient data. The synthetic images ideally have, in aggregate, similar statistical properties to those of a source dataset but do not contain sensitive personal information. We assess the quality of synthetic data generated by two GAN models for chest radiographs with 14 different radiology findings and brain computed tomography (CT) scans with six types of intracranial hemorrhages. We measure the synthetic image quality by the performance difference of predictive models trained on either the synthetic or the real dataset. We find that synthetic data performance disproportionately benefits from a reduced number of unique label combinations. Our open-source benchmark also indicates that at low number of samples per class, label overfitting effects start to dominate GAN training. We additionally conducted a reader study in which trained radiologists do not perform better than random on discriminating between synthetic and real medical images for intermediate levels of resolutions. In accordance with our benchmark results, the classification accuracy of radiologists increases at higher spatial resolution levels. Our study offers valuable guidelines and outlines practical conditions under which insights derived from synthetic medical images are similar to those that would have been derived from real imaging data. Our results indicate that synthetic data sharing may be an attractive and privacy-preserving alternative to sharing real patient-level data in the right settings.
Novel Reversible Acoustic Steganography Based on Carrier Orthogonality

A well-known technology called steganography is a strategy of hiding secrets that nobody will suspect the existence of secrets in cover medium. This paper indicates a novel and reversible steganographic protocol based on transformation of secrets to be transmitted covertly in high-frequencies waves carried by a public audio. In principle: a secret is first turned into a digital wave, and then lifted to a radio frequency. The radio-frequency signal is out of the threshold corresponding to human beings’ awareness and will be put onto an audio that could be downloaded by receivers legally. A receiver can lift down the radio-frequency wave and drain out the secret. The proposed technology decreases the risk greatly about preventing secrets from explosion during a transition. Experiments, comparisons and analyses are also performed to investigate practicability and superior performance compared with state-of-the-art steganographic schemes.
L’anti-italianismo negli Stati Uniti. Evoluzione di un pregiudizio. A cura di William J. Connell e Fred Gardaphé

Review of  L’anti-italianismo negli Stati Uniti. Edited by  William J. Connell and Fred Gardaphe
PENGARUH LITERASI EKONOMI DAN LINGKUNGAN SOSIAL TERHADAP PERILAKU PEMBELIAN IMPULSIF MELALUI ONLINE SHOP PADA PESERTA DIDIK KELAS X JURUSAN IPS DI SMA NEGERI 8 MAKASSAR

This study aims to determine the effect of economic literacy skills and the social environment on impulsive buying behavior through online stores. The research method used is research based on a quantitative approach. Methods of data through documentation and questionnaires. The results showed that: the literacy ability of students had no effect on impulsive buying behavior through online stores. In the study, it was also found that there was a positive and significant influence on the social environment on purchasing behavior made through online stores in class X students majoring in social studies at SMA Negeri 8 Makassar. There is a positive and significant effect of collaboration between economic literacy and the social environment on impulsive buying behavior through online stores for class X students majoring in social studies at SMA Negeri 8 Makassar
Utveckling av en krypterad chattapplikation : Analysering av användarbehov och säkerhet

Today, it appears that information leaks and security breaches are common occurrences. The authors of this project consider security and privacy to be a very vital part regarding technical concepts ...
Research Guides: How To Browse the Stacks When the Library is Closed: Why Browse?

Provides suggestions and strategies for simulating browsing for discovery Covers key reasons for browsing library stacks
Voice analysis rehabilitation platform based on LSTM algorithm

The proposed work discusses the results of a research project based on the recognition of correctly pronounced words and phrases by implementing a web platform implementing an acoustic training model. The acoustic training model is performed by a long short-term memory - LSTM - algorithm, able to recognise the speech disorder by assigning a score for each test type. The paper discusses the platform design and implementation. The tests are performed for different kind of exercises in rehabilitation patterns. The adopted approach is based on the formulation of acoustic model integrating a training dictionary of correct phonemes to pronounce. The platform enables a real time automatic score of the performed exercises and the test planning. The LSTM training dataset can be enriched by adding new exercise to learn. The output graphical dashboards enforce clinical evaluations and reporting.
Active machine learning for spatio-temporal predictions using feature embedding.

Active learning (AL) could contribute to solving critical environmental problems through improved spatio-temporal predictions. Yet such predictions involve high-dimensional feature spaces with mixed data types and missing data, which existing methods have difficulties dealing with. Here, we propose a novel batch AL method that fills this gap. We encode and cluster features of candidate data points, and query the best data based on the distance of embedded features to their cluster centers. We introduce a new metric of informativeness that we call embedding entropy and a general class of neural networks that we call embedding networks for using it. Empirical tests on forecasting electricity demand show a simultaneous reduction in prediction error by up to 63-88% and data usage by up to 50-69% compared to passive learning (PL) benchmarks.
Analysis of state land to assess the transformation of ecosystems in the territory in Absheron economic region of Azerbaijan

The aim of this work is to evaluate the transformation of ecosystems in the territory of the economic region of Absheron, Azerbaijan. For this, methods from the geographical sciences were mainly used. The environmental and geographical assessment was carried out based on the analysis of the state of contaminated soils in the former oil gas zones acquired in the economic region of Absheron. The geographical distribution of the contaminated lands, their forms, typological classification and optimal directions of revegetation of the contaminated lands and types have been defined for the region. It is notable that the analyzed region has a large population, so the consideration of social factors or impacts has a high weight in the analysis of possible strategies for territorial planning.Keywords: Production of oil-gas construction materials, contaminated lands, revegetation, type, sub-type, areal. RESUMENEl objetivo de este trabajo es evaluar la transformacion de los ecosistemas en el territorio de la region economica de Absheron, Azerbaiyan. Para ello se usaron principalmente metodos provenientes de las ciencias geograficas. La evaluacion ambiental y geografica se realizo basado en el analisis del estado de los suelos contaminados en las antiguas zonas de gas petrolero adquiridas en la region economica de Absheron. La distribucion geografica de las tierras contaminadas, sus formas, clasificacion tipologica y direcciones optimas de revegetacion de las tierras y tipos contaminados se han definido para la region. Es notable que la region analizada tiene una gran poblacion por lo que la consideracion de los factores o impactos sociales tiene un elevado peso en el analisis de posibles estrategias para la planificacion del territorio. Palabras clave: Produccion de materiales de construccion de petroleo-gas, tierras contaminadas, revegetacion, tipo, subtipo, areal.
A Rule-Based System for Computation and Deduction in Mathematica

$$\rho \hbox {Log}$$ is a system for rule-based programming implemented in Mathematica, a state-of-the-art system for computer algebra. It is based on the usage of (1) conditional rewrite rules to express both computation and deduction, and of (2) patterns with sequence variables, context variables, ordinary variables, and function variables, which enable natural and concise specifications beyond the expressive power of first-order logic. Rules can be labeled with various kinds of strategies, which control their application. Our implementation is based on a rewriting-based calculus proposed by us, called $$\rho \hbox {Log}$$ too. We describe the capabilities of our system, the underlying $$\rho \hbox {Log}$$ calculus and its main properties, and indicate some applications.
계산과학공학플랫폼 품질 특성이 사용자 만족도에 영향을 미치는 요인에 관한 연구

Computational Science and Engineering is a convergence study that understands and solves complex problems such as science, engineering, and social phenomena through modeling using computing resources. Computational science and engineering combines algorithms, computational and informatics, and infrastructure. The importance of computational science is increasing with the improvement of computer performance and the development of large data processing technology. In Korea, Korea Institute of Science and Technology Information (KISTI) has been developing national computational science engineering software and utilization technology by combining basic science and computing technology through EDISON project. The EDISON project builds an open EDISON platform and integrates and services information systems in seven areas of computational science and engineering (computational thermal fluids, nanophysics, computational chemistry, structural dynamics, computational design, and computational medicine). Using this, we have established a web-based curriculum to lay the groundwork for fostering scientific talent and commercializing computational science and engineering software. The purpose of this study is to derive the quality characteristic factors of computational science platform and to empirically examine the effect on user satisfaction. This paper examines how the quality characteristics of information systems, the computational science engineering platform, affect the user satisfaction by modifying the research questions according to the propensity of the computational science platform by referring to the success factors of DeLone and McLean''s information system. Based on the results of this study, we will suggest strategic implications for platform improvement by searching the priority of quality characteristics of computational science platform.