Reviewerly/exHarmony huggingface dataset:
PENGARUH MODEL PEMBELAJARAN SNOWBALL THROWING TERHADAP PENINGKATAN HASIL BELAJAR SISWA DI SMK NEGERI 3 TONDANO

PENGARUH MODEL PEMBELAJARAN SNOWBALL THROWING TERHADAP PENINGKATAN HASIL BELAJAR SISWA &#x0D; DI SMK NEGERI 3 TONDANO&#x0D; &#x0D; Oleh : David G. Sangari 14212081 Dosen Pembimbing : Drs. H. J. R. Sumarauw, M.Pd Dra. Lenie Ratag, M.Pd&#x0D; &#x0D; ABSTRAK&#x0D; &#x0D; David G. Sangari. 2019. The Influence of the Snowball Throwing Learning Model on the Improvement of Student Learning Outcomes at SMK Negeri 3 Tondano.&#x0D; Thesis, PTM S-1 Study Program, Faculty of Engineering. University&#x0D; Manado State. Advisors (1) Drs. H. J. R. Sumarauw, M.Pd, (II) Dra.Lenie Ratag, M, Pd&#x0D; &#x0D; Keywords: Snowball Throwing Model, Competency Learning of Light Vehicle Engineering Skills&#x0D; &#x0D; Based on the observations of researchers in the field, students in the learning process centered only on teachers and students only memorized concepts. The results at this reflection stage would be the basis for making improvements in this study. This study used 2 classes, namely the experimental class and the control class. The research was conducted in 12 meetings in each class. At the first meeting, a preliminary test was given which aims to see to what extent the students' ability limits. The second meeting until the 11th meeting was given a learning process using the Snowball Throwing learning model in the experimental class and conventional learning models in the control class. In the end, at the 12th meeting, each class was given a posttest to see if there was an improvement from the first meeting.&#x0D; Based on the research hypothesis testing at SMK N 3 Tondano on basic automotive engineering subjects with jacking and blocking material, it can be seen that Snowball Throwing learning affects students' mastery of concepts.
Multi-case-based reasoning by syntactic-semantic alignment and discourse analysis

In this chapter, we develop a Symptom Checker Engine that inputs a patient’s textual complaint. We then apply discourse analysis to split a health complaint into fragments so that each fragment can be associated with an illness description or a symptom description. In the case of multiple diseases, discourse analysis also verifies coordination among the rhetorical relationships between the fragments and extended discourse-like relations between the symptom descriptions, such as “one disease causes another” or “one disease follows another.” Matching of texts is performed by means of joint syntactic and semantic representation alignment based on an abstract graph alignment algorithm. We develop a Symptom Checker Engine within a case-based reasoning framework and extend it, relying on discourse-level relationships between cases. Our evaluation shows that the proposed technique is adequate for handling complex cases, such as patients’ complaints with multiple diseases.
THE PROBLEM OF MINING IN THE BUSINESS ENVIRONMENT

In this paper we discuss the phenomenon of mining and the problems associated with it. In particular, much attention is considered to the problem of information security. Special at-tention is paid to the problem of cryptojacking in a corporate network. The existing methods of its solution are considered. It was revealed that the most promising in this regard will be a centralized solution based on machine learning methods
CartesianToPolar and PolarToCartesian Image Filters

In this paper, we describe a set of filters, implemented in the Insight Toolkit www.itk.org, for converting an image from Cartesian co-ordinate space to Polar co-ordinate space and vice-versa. Cartesian to Polar conversion of an image is a useful operation in preprocessing stage of certain image-processing algorithm where feature of interest has simplified representation in the polar space. This paper is accompanied with the source code, input data, parameters and output data that the authors used for validating the algorithm described in this paper. This adheres to the fundamental principle that scientific publications must facilitate reproducibility of the reported results.
A Consistency Regularization for Certified Robust Neural Networks

A range of provable defense methods have been proposed to train neural networks that are certifiably robust to the adversarial examples. Among which, COLT [] combined adversarial training and provable defense method that achieves state-of-the-art accuracy and certified robustness. However, COLT treats all examples equally during training, which ignores the inconsistent constraint of certified robustness between correctly classified (natural) and misclassified examples. In this paper, we explore this inconsistency and add a regularization to exploit misclassified examples efficiently. Specifically, we identified that the certified robustness of networks can be significantly improved by refining inconsistent constraint on misclassified examples. Besides, we design a new defense regularization called Misclassification Aware Adversarial Regularization (MAAR), which constrains the output probability distributions of all examples in the certified region of the misclassified example. Experimental results show that MAAR achieves the best certified robustness and comparable accuracy on CIFAR-10 and MNIST datasets in comparison with several state-of-the-art methods.
Effect of information gain on document classification using k-nearest neighbor

State universities have a library as a facility to support students’ education and science, which contains various books, journals, and final assignments. An intelligent system for classifying documents is needed to ease library visitors in higher education as a form of service to students. The documents that are in the library are generally the result of research. Various complaints related to the imbalance of data texts and categories based on irrelevant document titles and words that have the ambiguity of meaning when searching for documents are the main reasons for the need for a classification system. This research uses k-Nearest Neighbor (k-NN) to categorize documents based on study interests with information gain features selection to handle unbalanced data and cosine similarity to measure the distance between test and training data. Based on the results of tests conducted with 276 training data, the highest results using the information gain selection feature using 80% training data and 20% test data produce an accuracy of 87.5% with a parameter value of k=5. The highest accuracy results of 92.9% are achieved without information gain feature selection, with the proportion of training data of 90% and 10% test data and parameters k=5, 7, and 9. This paper concludes that without information gain feature selection, the system has better accuracy than using the feature selection because every word in the document title is considered to have an essential role in forming the classification.
Analysis of Big Data Processing Based on Mapreduce and Convolution Neural Network

This paper first describes the principle of convolution neural network. Convolution neural network (CNN) is proposed to deal with pattern recognition problem on the basis of neural cognitive machine. Convolution NN is a multi-layer neural network, which each layer is composed of multiple two-dimensional planes, and each plane is composed of multiple independent neurons. In this paper, the principle and design idea of MapReduce based on large-scale data are described in detail. The paper presents analysis of big data processing by MapReduce and Convolution Neural Network.
Language shift and maintenance: a case study of Kani Tribes

This paper aims to look into the status of the language maintenance and shifts in the Malampasha, a language spoken by the Kanikkar (ISO 639-3, kev) community in Kerala. The paper also intends to draw out some of the struggles that the Kanikkar community face in the wake of the dominating presence of Malayalam.
COGNITIVE PURPOSEFULNESS AS A POTENTIAL RESOURCE OF THE SUBJECT OF LIFE ACTIVITY

The article deals with the problem of potential human resources in the historical and psychological context using examples of their relationship with nature in different periods of evolutionary development. It is shown that a person, as a subject of life, is characterized by the desire to creatively transform the surrounding reality and their spiritual world. It is assumed that cognitive purposefulness is a potential resource of the subject of life in any conditions of human existence
A novel cache based on dynamic mapping against speculative execution attacks

The Spectre attacks exploit the speculative execution vulnerabilities to exfiltrate private information by building a leakage channel. Creation of a leakage channel is the basic element for spectre attacks, among which the cache-tag side channel is considered to be the most serious one. To block the leakage channels, a novel cache applies Dynamic Mapping technology, named DmCache, is presented in this paper. DmCache applies a dynamic mapping mechanism to temporarily store all the cache lines polluted by speculative execution and keep invisible when accessing. Then it monitors the head of the reorder buffer to determine which polluted cache line can become visible. In this paper, we demonstrated that Spectre attacks exerted no impact on a processor system equipped with DmCache based on the analysis of the processor’s circuit behaviour, which equipped with the DmCache and under the Spectre attack.
Research on the Relationship Between Chinese Nicknames and Accounts in Social Networks

Abstract With the increasing integration of mobile Internet into people’s daily life, generally a user will register several different network applications at the same time. Therefore, there are many virtual identities belonging to one person on the Internet, and the similarity analysis of cross-platform network identities is of great significance in the field of network security. This paper studied the Chinese user nicknames and virtual identity recognition in domestic social networking. Considering that account nicknames, to some extent, can reflect the characteristics of the account owners’ naming habits and preferences, and that the information of nickname is easier to obtain than other registration information, we collected the nickname information of users who registered on three application platforms: WeChat, Weibo and Alipay. At the same time, according to the characteristics of account nicknames and their probability distribution, we determined the characteristic indicators that can be used to calculate the similarity of nicknames. Finally, this paper optimized the Jaro distance and Jaro-Winkler distance algorithms, and proposed an identity algorithm suitable for domestic social networks, especially calculating the similarity of Chinese nicknames, and verified the effectiveness of the algorithm on the basis of large-scale real data.
Teaching Exploration of Enterprise Resource Planning Course Based on Artificial Intelligence Technology

With the development of the times, the progress of society, the continuous accumulation of human science and technology and cultural achievements, the level of science and technology in today’s era has reached a peak, and artificial intelligence technology has been widely used in our daily production and life, involving many industries in many fields. In order to keep up with the pace of the development of the times, many industries have combined with various technical means to carry out innovation and Reform on their work content, so as to enhance their core competitiveness. At present, enterprise resource planning (ERP) course is the focus of many college students. In order to make the students of ERP course successfully complete the new requirements for students in the new era. This paper puts forward the method of combining artificial intelligence technology with enterprise resource planning course, analyzes and studies the current development situation of enterprise resource planning course in Colleges and universities, and uses artificial intelligence technology to formulate enterprise resource planning course for college students in the new era, so as to meet the new needs of enterprises for talents. Through the analysis, it is found that the method of combining artificial intelligence technology with enterprise resource planning course can provide new ideas for the development of enterprise resource planning course.
Metaphor in Parable from the Noble Qur’an: A Corpus Based Stylistic Approach

A compelling speech figure, a parable, or a metaphor in the Qur'an seeks to explain a crucial point by sticking in the mind and helping us absorb the message and firmly lodge it in our hearts. The stylistic method utilized in this study was a corpus-based stylistic method, which entails a contextual assessment of the term or pattern in issue. The information is based on passages from the Qur'anic corpus that have been translated into English. The stylistic corpus-based approach was used to investigate four different types of metaphor. They are standard, implied, visual, and extended metaphors, as evidenced by the findings. From the result finding it shows that there are 21 verses in the metaphor that are classified as standard metaphors, accounting for 61% of the metaphor. There are 5 verses, or 13%, of implied metaphor, 7 verses, or 18%, of visual metaphor, and 3 verses, or 8%, of extended metaphor. The metaphor that appeared the most frequently is a standard metaphor.
English Teachers' Perceptions on the Nationwide English Listening Test for Secondary School Students

The current research aimed to investigate how secondary English teachers perceive the Nationwide English Listening Test for Secondary Schools adopted by 16 metropolitan and provincial offices of education. This study was conducted by receiving online opinions from 4,653 teachers from sixteen metropolitan and provincial Offices of Education. The categories of questionnaire varied from administration to perspectives for improvement. The findings are as follows. Firstly, most teachers thought that the test items were easy and the speed of utterances was appropriate. Secondly, they responded that the test items should be developed in such a way that the test has new and more item types, and the test items should be more vividly differentiated in terms of difficulty. Furthermore, they suggested the development of the online listening test system where teachers can construct a test by using test items stored in the item bank of the system and administer a listening test in either an online or offline pen-and-pencil fashion.
Instrumental and executive system of training and testing

One of the ways to increase the efficiency of computer support of the educational process is to provide the subject teacher with a simple and easy-to-use interactive instrumental and executive system with a set of educational materials and test tasks for testing knowledge. The presence of two subsystems - the subsystem of learning and the subsystem of testing and performance accounting allows the teacher to solve the problem of simultaneous questioning in the classroom. The student, in turn, gets the opportunity to re-test independently to correct his unsatisfactory grades on certain topics already covered. Pedagogical experience shows that there were many such systems; most of them were focused on learning programming. Today, almost all training systems created in the 1960s, except PLATO (Programmed Logic for Automated Teaching Operations), have no practical significance. In their didactic capabilities, they differed little from the systems that used the simplest technical learning tools and provided a rigid, virtually excluding dialogue determination of student activity. However, it was the first developments that stimulated interest in computer learning, and the development of hardware and software for personal computers led to greater opportunities for their use in learning.
LUNG CANCER DETECTION TECHNIQUE BASED ON SURF DESCRIPTOR AND KNN ALGORITHMS

In this century, lung cancer is undoubtedly one of the major serious health problems, and one of the leading causes of death for women and men worldwide. Despite advances in treating lung cancer with unprecedented products of pharmaceutical and technological advances, mortality and morbidity rates remain a major challenge for oncologists and cancer biologists. Thus, there is an urgent need to provide early, accurate, and effective diagnostic techniques to improve the survival rate and reduce morbidity and mortality related to lung cancer patients. Therefore, in this paper, an effective lung cancer screening technique is proposed for the early detection of risk factors for lung cancer. In this proposed technique, the powerful acceleration feature Speeded up robust feature (SURF) was used to extract the features. One of the machine learning methods was used to detect cancer by relying on the k nearest neighbor (KNN ) method, where the experimental results show an effective way to discover SURF features and tumor detection by relying on neighborhoods and calculating the distance using KNN. As a result, a high system sensitivity performance success rate of 96% and a system accuracy of 99% has been achieved.
Improving functional text writing achievement by using Four Square Strategy at SMK Negeri 2 sekayu

The fact that English writing skill in Indonesia is still low encouraged the writer to conduct this study concerning vocational high school students. Four Square strategies in prewriting activities help students to write, especially in writing functional text. The objective of this study was to see if there was a substantial difference in writing achievement between students who were taught with the Four Square strategy and those who were not. The quasi-experimental approach was applied in this research. The population of SMK Negeri 2 Sekayu’s eleventh graders in the academic year 2021/2022, with a total of 217 students. From this group, 60 students were chosen as the sample and divided evenly into two groups, the experimental and control groups. The Four Square strategy was used to teach the experimental group, whereas the control group received no treatment. However, all the students in the two groups were given writing tests before and after the application of the two strategies. A t-test was used to assess the data collected. The result showed that the experimental group outperformed the control group with a significant mean difference of 23.82 (p &lt; 0.00). These results indicated that the Four Square strategy was effective in improving the students’ writing achievement.
Developing Readiness Of Technical Universities Graduates For Professional Substitutability

The paper deals with socio-didactic problems that arise when graduates of technical universities are employed in job positions that impose such qualification and functional requirements which do not fully correspond to the level, profile or training programme these graduates received at their technical university. This phenomenon, referred to as professional substitutability, leads to these graduates further training thus lengthening their labour adaptation period in the workplace, which depends on the degree of discrepancy between the required and actual levels of the graduates' university training. In the conditions of uncertainty over the development prospects of many enterprises, the use of graduates’ professional substitutability becomes a forced permanent condition for enterprises functioning. It means that readiness for professional substitutability is one of the important competitive advantages of employees. So, it is important to develop students' competence-based and psychological readiness to change types and content of their upcoming work, to help them master main, secondary and additional professional and functional competencies at the deepest possible level of complexity at the stage of university training. In this research, the authors provide a theoretical foundation and introduce methodological principles for developing technical university graduates’ functional flexibility and their readiness for professional substitutability.
System Design Relationship Between Internal Accounting Control and Administration Management of Ants Colony Algorithm

With the reform and development of institutions, accounting posts are paid more and more attention by managers, hoping to improve the comprehensive quality of professional accounting by establishing a perfect financial management system. All activities of institutions can not be separated from efficient administration. Therefore, by clarifying the relationship between accounting control and administration, a strict accounting control system can be constructed under an effective administrative mode. This undoubtedly plays a strong role in promoting the development of institutions.
Quantum Computing - from NISQ to PISQ

Given the impeding timeline of developing good quality quantum processing units, it is the moment to rethink the approach to advance quantum computing research. &lt;br&gt;Rather than waiting for quantum hardware technologies to mature, we need to start assessing in tandem the impact of the occurrence of quantum computing in various scientific fields.&lt;br&gt;However, to this purpose, we need to use a complementary but quite different approach than proposed by the NISQ vision, which is heavily focused on and burdened by the engineering challenges.&lt;br&gt;That is why we propose and advocate the PISQ-approach: Perfect Intermediate-Scale Quantum computing based on the already known concept of perfect qubits.&lt;br&gt;This will allow researchers to focus much more on the development of new applications by defining the algorithms in terms of perfect qubits and evaluate them on quantum computing simulators that are executed on supercomputers.&lt;br&gt;It is not the long-term solution but will currently allow universities to research on quantum logic and algorithms and companies can already start developing their internal know-how on quantum solutions.
The Use of Scaffolding Theory in the Teaching of Writing

"English Curriculum Standards for Senior High School (2017)" puts forward higher requirements for the writing ability of students: students can use the language knowledge and cultural knowledge they have learned to create new texts according to different purposes and audiences. Writing is a difficult point. However, the current domestic English writing teaching effect is not satisfactory. English writing teaching has not been paid enough attention, and students lack the initiative to learn English writing. Scaffolding theory encourages teachers to follow the "student-centered" classroom teaching model and build scaffolds based on the students' recent development areas, so as to promote students' knowledge construction and meaningful learning, stimulate students' interest in English learning, and improve their English writing level. This article analyzes the teaching of English writing from the perspective of scaffolding theory. First, it introduces the research background, expounds "Zone of Proximal Development" and scaffolding theory, and discusses in detail the five steps of scaffolding theory applied in high school English writing classrooms. Finally, three teaching inspirations and suggestions are provided in order to improve the teaching effect of high school English writing.