Reviewerly/exHarmony huggingface dataset:
Students’ Ability and Factors in Using Subject-Verb Agreement: A Case Study of Indonesian EFL Learners in University Level

Learning subject-verb agreement (SVA) is still challenging to be mastered by EFL learners especially in University level. Hence, the aim of this study id to describe the student’s ability and to find out the factors in using SVA. The method of this study used qualitative method that displaying analysis descriptively. The participants were 100 Indraprasta PGRI Jakarta University students who took grammar class and learnt about subject-verb agreement. The data was collected by giving test involved short answer choices that consisted of basic SVA, SVA using expression of quantity, SVA using there +be, and SVA using some irregularities, and short multiple-choice questions that related with the factors of learning SVA. The result showed the student’s ability in using SVA in fairly good and the factors came from the student’s motivation in improving their ability such as lack of reading the materials of SVA, lack of understanding on the SVA materials, lack of understanding on their lecturer’s explanation, lack of rereading the SVA materials after getting explanation from their lecturer, lack of doing the exercises, lack of practicing by themselves in SVA exercises, lack of doing self-correction in practicing SVA exercises, lack of doing analysis on the mistakes of SVA exercises, and lack of restudying the mistakes of SVA exercises.
LibGuides: Online Research Using the WOU Library: Find Books, E-books, Videos

This guide provides general information for students on how to use library resources remotely.
Modelo de arquitectura Cloud Federada utilizando recursos oportunistas de universidades

The main objective for this project is to design an architecture that’sable to offer a technological platform capable of providing an inter-institutionalor federate service (between organizations) using a cloud-computing paradigm todeliver opportunistic resources. To accomplish the main purpose of this project,two technologies and types of implementation available were studied and evaluated,in order to generate an architectural model through an iterative and incrementalmethod, consequently a concept test were done employing a prototype that allowsthe validation of the suggested model.
Analysis of Omission and Addition Errors Found in the Students’ English Texts

The research was done to find the aspects of omission and addition errors in English texts made by the students of MAN 3 Bantul. The research was a descriptive study which was conducted in MAN 3 Bantul. The data was collected by analyzing the students’ writing. There were 20 exposition texts made by the eleventh-grade students of MAN 3 Bantul. The text is written in four different themes. After getting the data, the data were analyzed by identifying and deeply checking the students’ errors according to the theory form James (1998). The data found then categorized by entering the data to the table based on the linguistic taxonomy and surface strategy taxonomy. There were many aspects of omission or addition errors found in this study. From the data analysis, the study found seven aspects of omission errors and six aspects of addition errors. The aspects of omission errors were omission of (1) to be, (2) article, (3) pluralization, (4) verb, (5) preposition, (6) pronoun, and (7) agreement. While the aspects of addition errors were addition of (1) preposition, (2) article, (3) conjunction, (4) to be, (5) sub clause marker, and (6) verb. It can be concluded that the students still have lack of grammatical mastery and implies that grammar should be inserted in the teaching and learning process. It implies that the students should be given enough opportunity in learning English grammar more. The teacher should also increase their awareness concerning with the errors made by the students. They have to give more emphasize and also feedback to increase the students’ awareness in applying English grammar rule in creating sentence or texts.
Perception of Using ICT in Libraries: A Survey of Library Professionals Working in Government Degree Colleges of Kashmir (J&amp;K)-India

The application of Information and Communication Technology (ICT) has put a huge impact on Information Industry and has revolutionized the way libraries acquire, process, organise, store and disseminate information. It has also caused a drastic change in different library services making it possible for the libraries to serve their clientele quickly, efficiently and distantly. Thus, in this digitally-driven environment, the role of library professionals with respect to serving their users has equally become more important and challenging. On one hand, the library professional should be digitally sound and techno-savvy, on the other hand, he must be able to efficiently use his ICT skills to serve the user community. The objective of the current study was to assess the perception of professional librarians working in the government-run Degree Colleges of Kashmir regarding the use of ICT. This research is based on 44 Govt Degree Colleges in Kashmir region of J&K state. Questionnaire method was used for data collection from the target population. The findings of the study revealed that SOUL, the library management software, and Online Public Access Catalogue (OPAC) had the highest impact on the role of professional librarians. The findings of the present study support a need for the implementation of ICTenabled systems in libraries for better management of library house-keeping operations and for providing better and efficient services to the users.
Blockchain Technology Applications in the Business Processes of Logistics Enterprises : A study to explore improvements in Logistics Services Quality (LSQ) with blockchain technology

Blockchain technology is an emerging technology that has attracted many enterprises’ interest in recent years. Enterprises are interested in improving business processes using blockchaintechnology. ...
LibGuides: Stay Safe, Stay Informed, Stay Entertained: eBook Recommendations

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Feature Extraction and Detection of Aorta using Histogram of Oriented Gradients and Support Vector Machines in Cardiac CTA

In this paper, we propose an automatic aorta detection method in computed tomography angiography (CTA) using Histogram of Oriented Gradients (HOG) and Linear Support Vector Machine (LSVM). For our methods, we trained the LSVM classifier with HOG descriptors which are extracted from cardiac CTA. And we detect aorta region as follows. First, we denoise the images by applying anisotropic diffusion filtering. Second, the feature is extracted from the input image using HOG descriptor. Third, we detect the aorta by LSVM classifier. We tested our method in ten CT images and they were obtained from a different patient. For the evaluation of the computational performance of the proposed method, we measured the total processing time and intersection over union (IOU). The average of total processing time, from first step to third step, was 19.99±1.99s, and IOU was 0.85±0.05. We expect for our method to be used in cardiac diagnosis for cardiologist.
LibGuides: Library Access Browser Extension: Home

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مدى إقبال الشباب على القراءة بمحافظات جنوب الصعید

Abstract Reading is considered one of the most important means of gaining knowledge and obtaining information: The researcher discussed in this study the importance of reading for young people in the southern governorates of Upper Egypt from the age of 30-18 years, according to the educational level as well as according to the profession and social status as well as according to the place of residence in terms of rural and urban as well as some other variables such as the profession The educational level and marital status also dealt with the most important topics of reading and came on top of political issues and religion and also addressed the most important reading materials for young people and the sources of youth access to reading materials and favorite reading places for young people and the most important reading times As well as the average number of hours of reading among young people and the study ended with many important findings and recommendations
THE IMPROVING STUDENTS’WRITING SKILL THROUGH CLUSTERING TECHNIQUE

Students four grade semester English Education Department have difficult in writing. They have limitation in English vocabulary building, students didn’t understand systematically in writing. They usual use common words in writing English so that they weak in writing skill. Lecturer choose clustering technique to improve students’writing skill. The advantages this technique can mapp students’mind, an idea or theme with symbols and diagram after that they can improve become written or text. Furthermore all of the content in which they want to write based on the outline. This research aim to know improving students’writing skill through clustering technique on students STKIP Kusuma Negara, Jakarta. It is qualitative research using classroom action research method. It was conducted two cycle. Each of cycle consist of four steps. There are planning, acting, observing and reflecting. This research was conducted with the subject twenty five students in fourth semester English Education STKIP Kusuma Negara Jakarta. Data were collected through interview, observation and test. The result of this research is improving students’writing skill through Clustering Technique showed an increasing percentage and average score. Cycle I was 32 % students pass in writing skill or the average score is 73.28, in Cycle II was 88 % students pass in writing skill or the average score is 81.6. The students given positive responses, they were enthusiastic and motivated when they written in English by Clustering Technique. Based on the result, it can be concluded Clustering Technique could improve the students’writing skill on STKIP Kusuma Negara.
LibGuides: Stay Safe, Stay Informed, Stay Entertained: Stay Entertained

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LibGuides: NAU Online Library: Services

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Neyman-Pearson Classification for Credit Card Fraud Detection

Author(s): Xu, Lu | Advisor(s): Li, Jingyi | Abstract: Fraud detection is a problem of highly imbalanced binary classification, where the size ratio of positive class (fraudulent instances) to negative class (normal instances) is low. Any fraud detection model is faced with the trade-off between two types of classification mistakes - type I error (also known as the false positive rate (FPR)) and type II error (also known as the false negative rate (FNR)). One common way to handle this trade-off is to set a pre-determined level of maximum acceptable type I error, $\alpha$, and try to minimize type II error. However, an acceptable empirical type I error evaluated on the test set (below $\alpha$) does not necessarily guarantee population type I error to be below $\alpha$ as well. This problem is addressed by the Neyman-Pearson (NP) classification algorithm \citep{np}, with which we can put a high-probability upper bound on population type I error. In this study, we use simulation to illustrate how empirical and population type I error can differ, and how NP classification effectively controls population type I error. We then build credit card fraud prediction models based on classical and NP algorithms and compare their performances.
Mappatura dei poeti translingui italofoni residenti in Italia

Digital Humanities are a new methodological entity as much as a new hermeneutic source, which blends experts in both information technology and humanistic studies. Within the Italian landscape of translingual literature, the database of the migrant writers who write in Italian (BASILI: Banca dati Scrittori Immigrati di Lingua Italia) stands out for dating and importance: it was founded in 1997 by Armando Gnisci and then transferred from a domain of The Sapienza University to the domain of the magazine «El Ghibli» in 2017. By exemplifying the use of BASILI, integrated with other queries of similar portals, this essay deals with a census of contemporary translingual poets in Italy, and aims at recreating the connection between the poetical production in Italian and Italy’s historical, migrant, cultural and literary peculiarities, by highlighting what emerges from the geohistorical frameworks of different areas and countries.
Neural network model for user request analysis during software operations and maintenance phase

This article offers a transition-based neural network model for extracting informative expressions from user request texts.The configuration and transition system that turns the process of informative expression extraction into the execution of a sequence of transitions is described.Prediction of transition sequence is done using a neural network that uses features derived from the configuration.To train and evaluate a proposed model, a corpus of annotated Android mobile application reviews from the Google Play store was created.The training procedure of the model for informative expressions extraction and selected model's hyperparameters are described.An experiment was conducted comparing the proposed model and an alternative model based on a hybrid of convolutional and recurrent neural networks.To compare quality of these two models, the F1 score that aggregates recall and precision of extracted informative expressions was used.The experiment shows that the proposed model extracts expressions of interest better than the alternative: the F1 score for spans extraction increased by 2.9% and the F1 for link extraction increased by 36.2%.A qualitive analysis of extracted expressions indicates that the proposed model is applicable for the task of user request analysis during operation and the maintenance phase of software products.
Deixis Investigation of Motivational Speech in Jack Ma’s “Empowering Young African Entrepreneur in Nairobi” Speech

This study aims to investigate the types of deictic expressions used by Jack Ma in one of his speeches in Nairobi and how these deictic expressions helped him in motivating his audience.Drawing on Fillmore's (1997) category of deixis, this qualitative study found that three types of deixis were present in Jack Ma's speech with the person deixis as the most frequently used type.Furthermore, the use of these deictic expressions constructs the deictic field where Jack Ma situated himself at the deictic centre.The finding suggests that deictic expressions helped him to persuade the audience to trust the speaker and also to motivate them.This study is expected to contribute insights to how deictic expressions can be used to motivate the audience.
Techniques For Teaching English To The Fifth Grade Student at MI Muhammadiyah Ngaliyan Simo Boyolali in 2019/2020 Academic Year

The purpose of this research is describe classroom teaching techniques wasused by an English teacher to deliver the materials to make student interested inteaching learning process at MI Muhammadiyah Ngaliyan Simo Boyolali.The researcher used qualitative research because the researcher intends to describeabout finding, describing, investigating, and explaining the techniques used by theteacher in teaching learning process. The subject of this research is Englishteacher and fifth grade student at MI Muhammadiyah ngaliyan Simo Boyolali.The researcher used observation method, interview method, and documentationmethod to collecting the data.The result showed English teacher at Mi Muhammadiyahh Ngaliyan SimoBoyolali always used various techniques for teaching and learning process tomake feel students ability becomes creative and active in classroom. Based on theresults, techniques for teaching English who used by the teachers in MiMuhammadiyah Ngaliyan have important role for teaching learning process.
Power-Balancing Software Implementation to Mitigate Side-Channel Attacks without Using Look-Up Tables

With the increasing number of side-channel attacks, countermeasure designers continue to develop various implementations to address such threats. Power-balancing (PB) methods hold the number of 1s and/or transitions (i.e., Hamming weight/distance) of internal processes constant to ensure side-channel safety in an environment in which it is difficult to use random numbers. Most existing studies employed look-up tables (LUTs) to compute those operations, except for XOR and NOT operations. However, LUT-based schemes exhibit some side-channel issues in the address bits of LUTs. In this paper, we propose the application of AND and ADD operations to PB methods based on a rule that encodes 8-bit data into a 32-bit codeword without using LUTs. Unlike previous studies that employed LUTs, our proposals overcome side-channel vulnerabilities associated with the address bits and memory wastage. In addition, we evaluate the side-channel security ensured by the proposed method in comparison with that ensured by other methods. Finally, we apply our methods to SIMON/SPECK ciphers and analyze their performance by comparing them with older schemes.
Simulators for Image-Based Control Architecture

The necessity of designing flexible and versatile systems is one of the most current trends in robotic research. In the first part of this chapter, a simulator for servoing application using point features and image moments as visual features is presented. Including visual servoing techniques in an existing robotic system is a very challenging task. Hence, in the second part, a solution is given for extending the capabilities of a 6 DOF manipulator robot, for visual servoing system development. An image-based control architecture is designed and a real-time implementation on an ABB robot and a Fanuc robot is developed. The image acquisition and processing together with the computing of the image-based control law were implemented in MATLAB$$^{\textregistered }$$. A new type of robot driving interface that links the robots’ controller with MATLAB$$^{\textregistered }$$ environment is proposed. The robustness and stability of the visual feature (point features and image moments) based control laws are tested in multiple experiments. Experimental results reveal very good performances of the real-time visual servoing system.
Leveraging Machine Learning in the Age of Information

The solution is automated data collection via processes like collecting user data and web scraping. Web scraping is able to transcribe specified information using the Hypertext Transfer Protocol (HTTP) to a central database. Tools such as web and image crawlers are freely available to the public, and allows the developer toscrape and collect large amounts of data from the web. The developer can then comb through the information and use it to optimize there required task.
PENERAPAN DECISION TREE C4.5 SEBAGAI SELEKSI FITUR DAN SUPPORT VECTOR MACHINE (SVM) UNTUK DIAGNOSA KANKER PAYUDARA

In the field of medicine, the use of data mining has a quite important and evolutionary role that can change the perspective of doctors, practitioners and health researchers in the process of detecting breast cancer in a patient. There are 2 classification applications in it, namely the process of diagnosing (diagnosing) cancer cells that distinguishes between tumors (benign cancer) or malignant cancer and prognosis (prognosis) to determine the possibility of reappearance of cancer cells in patients who have been operated on in the future. Data mining aims to describe new findings in the dataset and explain a process that uses statistical, mathematical, artificial intelligence, and machine learning techniques to extract and identify useful information and related knowledge from the database.Classification with data mining can be done using several methods, namely Decision Tree, K-Nearest Neighbor, Naive Bayes, ID3, CART, Linear Discriminant Analysis, etc., which certainly have advantages and disadvantages of each. But in this study, the author focuses on the classification of data mining using the Support Vector Mechine and Deccision Tree algorithms.This study will analyze the Breast Cancer Wisconsin Original data set obtained from the UCI Machine Learning Repository (repository of research data) to classify breast cancer malignancies. This time the author correlates between the Decision Tree classifier algorithm which has good ability to process large databases as a feature selection, then with a proper and relevant SVM Method used in analyzing and diagnosing breast breast cancer patients because it has accurate results for existing problems and several bases . Keywords— Data Mining, diagnosis, Decision Tree, SVM Method
스티븐 베이커법을 활용한 시각적 표현 중심의 광고아이디어 발상법

It is very difficult for certain advertisements to attract the attention of consumers in the flood of advertising in modern society. In addition, as various technologies that can avoid advertisements appear, there is a need for ideas that can easily and quickly deliver messages to consumers in the reality. In this regard, this study introduced various Advertising Idea-Generation Technique that can be widely used in the field of advertisement education and practice. And students learning advertisements selected Stephen Baker's idea model, which can be applied simply and easily, based on the intuitive and visual expression, and applied it to the actual advertisement education field. The subjects of this study were college students who took advertising major classes. In the process of research, they derived various keywords that matched the established advertising concept, and then, among the various ideas of Stephen Baker method, selected techniques that are highly related to keywords. After the brainstorming, they selected the best ideas and proceeded thumbnail sketches. Among them, they finally decided on the proposals for the refinement and made the advertisement proposal. As a result, students who worked on the idea of using Stephen Baker Method were able to come up with various ideas that can convey the advertising message effectively and intuitively and the final drafts were also more complete than expected. The Stephen Baker Method is a visual expression-oriented idea-making method that is expected to be useful for the educational field or practical production environment for students learning advertisements because the techniques themselves contain simple and creative contents.
The Implementation of Discussion Technique in Teaching Reading at The Eighth Grade of SMP N 2 Gemolong

This study aims to identify the types of discussion techniques used by the teachers in teaching reading in eighth grade SMP N 2 Gemolong, and to describe the procedure of the discussion techniques implemented by teachers in teaching reading at eighth grade of SMP N 2 Gemolong. This research uses qualitative discribtive methode. The methods of data collection are observation, interview and documentation. The subject of this research are the teacher and eight grade of SMP N 2 Gemolong. Theoretically, there are many types of discussion techniques applied for teaching reading, namely Jigsaw, Small Group Discussion, Cooperative Integrated Reading and Composition (CIRC), Make a Match, and Number Hand Together. The results showed that the teacher applied a discussion technique in teaching reading. However, the type of the discussion technique does not belong to the types suggested in the theory. The teacher applied pre teaching, whilst teaching, and post teaching in teaching reading. However, in pre teaching, the teacher did not teach reading
Performance analysis of lattice based post-quantum secure cryptography with Java

Efficient quantum computers will break most of today’s public-key cryptosystems. Therefore, the National Institute of Standards and Technology (NIST) calls for proposals to standardise one or more ...