Reviewerly/exHarmony huggingface dataset:
Cyber Resilience Evaluation Using Cyber Resilience Review Framework at University XYZ

Cyber resilience is about protecting data and information owned by University XYZ and adapting business processes at University XYZ to ensure service continuity when cyber threats occur. However, University XYZ never evaluates its practices to implement security and data management. University XYZ needs to know its maturity level based on cyber resilience evaluation to improve its cyber resilience. Therefore, this research was carried out to evaluate cyber resilience at University XYZ using the Cyber Resilience Review (CRR) assessment by evaluating ten cyber resilience domains. The evaluation covers academic services that use the University XYZ academic information system. The evaluation process will be held through an interview with the process owner. The interview questions are based on CRR assessment. After the evaluation, we found that none of the domains in University XYZ had yet reached Maturity Indicator Level (MIL)-1. In addition, the overall performance percentage for each CRR domain had not yet reached 100%. An improvementrecommendation for each domain has also been made, containing guidance for implementing incomplete and noncommitted practices. University XYZ can implement cyber resilience practices according to recommendations so that the implementation process can run optimally, even thoughcyber threats occur from time to time.
Targeted sentiment classification with multi-attention network

Targeted sentiment classification aims at recognising the sentiment polarity of specific targets. However, existing methods mainly depend on a crude attention mechanism, while neglecting the mutual effects between target and context. In order to solve this problem, this paper introduces a Multi-Attention Network (MAN) for aspect level sentiment classification. We jointly modelled intra-level and inter-level attentional components to capture the interaction between target and context. The former attention mechanism pays attention to the context relation, whereas the latter attention mechanism considers important parts in a sentence. The experimental conducted on laptop, restaurant and Twitter data sets indicate that our model surpasses the baseline model.
A Comparative Analysis of Clone Detection Techniques on SemanticCloneBench

Semantic code clone detection involves the detection of functionally similar code fragments which may otherwise be lexically, syntactically, or structurally dissimilar. The detection of semantic code clones has important applications in aspect mining and product line analysis. The accurate detection of semantic code clones is a challenging task and various techniques have been proposed. However, the evaluation of these techniques is performed using various datasets and we do not have a clear picture of the performance of these techniques relative to each other. Recently, SemanticCloneBench has been introduced as a benchmark for semantic clones. Now, we can use the SemanticCloneBench to effectively evaluate and compare the performance of semantic code clone detection techniques. In this paper, we compare the semantic code clone detection performance of three different code clone detection techniques namely FACER-CD, CodeBERT and NIL for Java code clones using SemanticCloneBench. FACER-CD performs API usage similarity-based clustering to detect clones, while CodeBERT is a deep-learning based approach which uses a pre-trained programming language model, and NIL is a token-based large-gapped code clones detector. FACER-CD, NIL, and CodeBERT show a recall of 64.3%, 12.7%, and 83.2% respectively on SemanticCloneBench. Using all three techniques together on the SemanticCloneBench dataset gives us an overall recall of 95.5% which is currently the best performance achieved on SemanticCloneBench.
Affixation Process of Verbs in English and Bajo Language: A Contrastive Analysis

This research was aimed at finding and describing about the affixation process of Verbs in Bajo Language, and the finding similarities and differences of verbs in English and Bajo language. This research was classified as a descriptive qualitative study. The techniques of data collection used in this research were interview and study document. The data were analyzed by using contrastive analysis. The result of the research showed that most of verbs in Bajo language changed based on meaning. The change on meaning could be formed from affixation process. Affixation process of verbs in Bajo language there is prefix process, suffix process, simulfix process, and confix process. While affixation process of verbs in English, there is prefix process, suffix process and confix process. The similarities of affixation process of verbs in English and Bajo language are both have the prefix process, suffix process, confix process in the morphological process. Difference was affixation process of verbs is in English did not have simulfix process of affixation process.
Heuristics Design

Abstract The last chapter of the book gives some advice on developing heuristics. It discusses the difficulty of modeling the problem and gives an example of decomposing the problem into a chain of more manageable sub-problems. Secondly, it proposes an approach for the design of a specific heuristic. Finally, some techniques for parameter tuning and comparing the efficiency of algorithms are reviewed.
DEVELOPMENT AN INTERACTIVE MODULE FOR MOMENTUM AND IMPULSE BASED ON MACROMEDIA FLASH

Abstrak: Tujuan dari penelitian ini adalah untuk mengembangkan modul interaktif berbasis macromedia flash yang valid dan efektif digunakan dalam pembelajaran pokok bahasan momentum dan impuls. Penelitian ini menggunakan pendekatan Research and Development (R&amp;D) yang mengacu pada prosedur yang diadaptasi dari. Prosedur penelitian ini terdiri dari (1) tahap perancangan, yang terdiri atas analisis kebutuhan, penyusunan GBIM dan JM, serta penulisan naskah, (2) tahap produksi, yang terdiri atas persiapan, pelaksanaan, dan penyelesaian, dan (3) tahap evaluasi, yang terdiri atas evaluasi pramaster, revisi, dan uji coba lapangan. Berdasarkan hasil uji ahli untuk mengukur validitas produk diperoleh hasil sebesar 3,60 dengan kategori sangat baik dari segi penyajian materi, dan 3,61 dengan kategori sangat baik dari segi desain produk. Penelitian ini diujicobakan pada siswa kelas X MIA SMA Life Skills Kesuma Bangsa. Berdasarkan hasil uji kemenarikan, kemudahan dan kemanfaatan produk diperoleh hasil sebesar 3,35 dengan kategori sangat menarik, 3,38 dengan kategori sangat mudah, 3,93 dengan kategori sangat bermanfaat, dan untuk hasil uji keefektifan produk diperoleh hasil N-Gain sebesar 0,84 dengan kategori tinggi berdasarkan peningkatan nilai pretest dan postest siswa. Sehingga dapat disimpulkan bahwa modul interaktif berbasis macromedia flash yang telah dikembangkan dinyatakan valid dan efektif digunakan dalam pembelajaran pokok bahasan momentum dan impuls.Abstract: The purpose of this research is to develop an interactive module based on macromedia flash that is valid and effective to use in learning the subject of momentum and impulse. This study uses a Research and Development (R&amp;D) approach which refers to a procedure adapted from. This research procedure consists of (1) the design stage, which consists of needs analysis, preparation of GBIM and JM, additional script writing, (2) the production stage, which consists of preparation, implementation, and completion, and (3) the evaluation stage, which consists of premaster evaluation, revision, and field trials. Based on the results of expert tests to measure the validity of the product, the results obtained are 3.60 with a very good category in terms of material presentation, and 3.61 with a very good category in terms of product design. This research was tested on students of class X MIA SMA Life Skills Kesuma Bangsa. Based on the results of the attractiveness, convenience and usefulness of the product, the results obtained are 3.35 with a very attractive category, 3.38 with a very easy category, 3.93 with a very useful category, and for the results of the product effectiveness test the N-Gain result is 0, 84 with a high category based on the increase in pretest and posttest students scores. So it can be concluded that the interactive module based on macromedia flash that has been developed is declared valid and effective to use in learning the subject of momentum and impulse.
MODERNIZATION OF COMPETENCY LEARNING OF YOUNG SCHOOLCHILDREN WITH VISUAL DISABILITIES THROUGH THE USE OF ADAPTED STEM EDUCATION METHODS (methodical development)

The article emphasizes the need to modernize the competence training of primary school students with visual impairments, identified ways and factors to improve the content of inclusive education through the use of adapted STEM-techniques. Among the outlined current tasks of the modern school is the implementation of the competence approach in learning, the focus of the educational process on the formation and development of personal competencies. We are talking about competence as a new unit of human education, with emphasis on learning outcomes, which are not the amount of learned knowledge, skills, abilities, and the ability to act in a variety of problem situations. In fact, the life of blind people is a continuous process of trials, research, tactile examinations, tests, attracting information from all analyzers through compensatory processes, perception by ear, touch, temperature and reflection – this is one modern concept and can be called STEM. From the experience of the typhlopedagogue in the article the primary tools of the preparatory stage for the introduction of STEM-approaches in teaching are highlighted. Depending on the capabilities of students with SEN and the pace of consolidation of skills of this preparatory work, it is proposed to introduce project STEM-days, which will be combined into one topic and will have interdisciplinary saturation. It is the method of projects that involves independent activity of students and promotes the development of the child as a creative person. In addition, this method allows you to reveal any topic in the relationship of all subjects. To reveal the practical content of the issue, the topic “Water”, sub-theme “Water in the senses and feelings” is highlighted, not only to give students information, collect a lot of material, but also to gain sensory experience, reveal the creative potential of each child.
Hand Gesture Recognition using Deep Learning Models

Hand Gesture Recognition (HGR) is most widely used in many applications to detect the hand movements of humans in front of the camera. HGR is the most innovative system that provides a user-friendly nature that can interact with a system that is known to humans. Applications such as machine interaction with humans, language signs, and analyzing the original hand gestures by the system is a very difficult task. HGR detection can be done based on the shapes of the four fingers and one thumb to recognize the hand and their respective location in the image. In this paper, a new HGR technique is introduced based on the shape metrics with the text-to-image conversion technique. For implementation, the Deep Convolution Neural Networks (DCNN) have been used with inception V3. The model considers the skin color and texture because the features of the image are specifically different conditions that are influenced. A webcam is used in the proposed system which is working on 20 fps with 7-megapixel intensity.
Experiments on Learning Unit-Action Models from Replay Data from RTS Games

Recent work has shown that incorporating action probability models (models that given a game state can predict the probability with which an expert will play each move) into MCTS can lead to significant performance improvements in a variety of adversarial games, including RTS games. This paper presents a collection of experiments aimed at understanding the relation between the amount of training data, the predictive performance of the action models, the effect of these models in the branching factor of the game and the resulting performance gains in MCTS. Experiments are carried out in the context of the microRTS simulator, showing that more accurate predictive models do not necessarily result in better MCTS performance.
The Listener and the Work as the Dualistic Basis for the Morphological Analysis of Music

In morphological analysis, the musical work and the listener are seen as elements of one communicative duality. Each element of this duality may play the role of either subject or object. This paves the way for a more flexible approach towards analyzing a musical text. The morpheme, one of the cornerstones of morphological analysis, can be defined as a sound construction with a typical set of characteristic features. The other cornerstone, the morph, transforms a morpheme into a genеriс, stylistic “flesh and blood” of a specific musical text, on the basis of polymorphism. One bright example of the depth and rapidity of morphic transformations in Tchaikovsky’s music is the finale of his First Piano Concerto. From the point of view of morphological analysis, the musical development in the “Introduction” to Stravinsky’s The Rite of Spring is based on a step-by-step approach to an externally existing object, making it possible for us to perceive (see or hear) its details. The object itself is polymorphic, i.e., similar to an embryo; it contains within itself, from the start, every element it needs for further development. The starting point of the “Introduction,” the high-register bassoon melody accompanied by the supporting line of the horn, can be defined as a forest viewed in a distance, from where the sound of a shepherd’s horn can be heard. The ten intonational elements of the initial three measures of the ballet provide the base from which the form of the “Introduction” is developed.
Code-Switching on Tansi Language Spoken by People in Lembah Segar Sub-District

People usually choose different codes in different situation in every interaction. The phenomenon of code-switching is common in bilingualism and occurs in conversation. Code-switching occurs when conversation use two languages together to the extent that they change from one language to other in the course of a single utterance. By using qualitative method, this study was aimed to analyze the types and function of code-switching found in the utterance spoken by people in Lembah Segar sub-district. The researcher analyzed sixty three utterance of Minangkabaunese-Tansi language switched spoken by people in Lembah Segar sub-district. Romaine’s (1995) theory is applied in this research to find the types of code-switching. To finding the functions of code-switching the researcher used Gumperz’s (1982) theory. The result of this study shows that the intra-sentential switching was the most common type of code-switching. Also, Interjection was the most function of code-switching used by people in Lembah Segar sub-district. This research gives a contribution in sociolinguistics fields. It is because the result of this study shows the relation of language and society.
A Factorization Attack Algorithm on RSA Cryptosystem Using Fast Searching Algorithm

The RSA cryptosystem is the first public key cryptosystem and has widely applied in privacy and ensure authenticity of digital data and included in many standards such as FIPS PUB 186-4.The security of RSA cryptosystem is heavily relied on the practical difficulty of factoring the product of p and q (N=p×q).Many studies are reported for attacking RSA cryptosystem, but no direct solving algorithms for finding p and q of the RSA cryptosystem by mathematical derivative are proposed.This paper uses strictly mathematical steps to derive out important parameters such as K=p+q, B = p-q, andfor breaking the RSA cryptosystem.Two fast searching methods are proposed to find out the correct K value, and then two primary values p = 2 B K + and q = 2 B Kcan be computed directly.Proposed algorithms need division operations with complexity ( )in average to solve the q solution and suggest some important up-down search limits to attack RSA-2048 for helping cryptanalysis on such unbroken cryptosystem.The proposed algorithms can find out the precision K value with computation complexity ( ) N O , and thus unbroken RSA cryptosystems with huge numbers such as the RSA-2048 cryptosystem will be solved immediately because exhaustive search is no more needed.
الأغنية والصور لتعليم المفردات في المدرسة الابتدائية

This research is based on the problems students faced in learning Arabic vocabulary. This research aims to reveal the conduct of instructional vocabulary among students, knowing the students' ability to comprehend vocabulary, and revealing the results of instructional vocabulary after using the song and pictures. The researchers used experimental research method with a quantitative approach. The researchers prepared the pre-test and the post-test to collect data. After processing and analyzing the data, the researchers obtained the mean group of the students' post-test results, 50 in the experimental group and 74 in the control group. The evidence found shows that the alternative hypothesis (Ha) is accepted, and the null hypothesis (Ho) is rejected. This means that the use of song and pictures in the process of teaching and learning vocabulary has a strong impact. The process of teaching and learning vocabulary using song and pictures among students has a strong impact on vocabulary comprehension.
Big Data Intelligent Collection and Network Failure Analysis Based on Artificial Intelligence

In order to explore the intelligent collection of big data and network fault analysis, this paper proposes a big data intelligent collection and network fault analysis based on artificial intelligence. The construction of enterprise level information security situation awareness system is studied, and the model, architecture and specific implementation methods of information security are proposed. Through the design and deployment of the system, the effective detection, threat perception, risk determination and threat tracing of information security threats can be realized in enterprises, and the detection ability of enterprises to deal with security threats and security attacks can be comprehensively improved. The experimental results show that: Through this platform, the unknown threats analyzed by big data in the system can be manually intervened by professionals to make fine analysis, confirm attack means, target and purpose, and restore the full picture of the attacker through artificial intelligence combined with big data knowledge and multi-dimensional features of the attacker. Including homologous Trojan programs and malicious servers with different program forms, coding styles and attack principles, they "track" attackers through the overall features, continuously discover unknown threats, and ultimately ensure the accuracy of unknown threats discovery, and generate threat intelligence for the local analysis platform. It is proved that the intelligent acquisition of big data by artificial intelligence can effectively analyze network faults
The Discrete Trigonometric functions and Wavelet Transform for Adaptive Video Compression

In order to reduce the amount of data needed for storage and transmission, videos are compressed.Popular transformations used for effective compression include the Discrete Cosine Transform (DCT) and the Discrete Wavelet Transform (DWT).DCT is efficient in compressing energy and uses little computational resources.The authors of this study offer a new approach to video compression by using a combination of discrete cosine transform (DCT), discrete wavelet transform (DWT), and arithmetic coding.By producing a code with the least amount of redundant information, arithmetic coding is used to improve the efficiency of a computer's processing of data.The experimental findings show that the suggested strategy achieves higher PSNR values and compression ratios than comparable approaches.
Evaluasi Penggunaan Sistem Informasi Tuberkulosis dengan HOT-FIT Framework di Puskesmas Mergangsan Yogyakarta

Background : The Tuberculosis Information System (SITB) is an application for recording and reporting TB cases designed by the Indonesian’s Ministry of Health in electronic form. This system is used by TB surveillance programmers at the primary health care (namely : Puskesmas), but in its use there are several obstacles including the system which sometimes becomes slow during the data input process and features that are felt to be incomplete. The purpose of this study was to evaluate the use of SITT at Puskesmas Mergangsan, Yogyakarta using the HOT-Fit Framework approach.&#x0D; Method : This research design is a qualitative research through descriptive case studies by conducting in-depth excavations through an in-depth interview process and document review regarding the input, process and output of the integrated tuberculosis information system and its contribution to decision making. The informants in this study were the Head of the Puskesmas, SITB Programmers, laboratory and pharmacy staff who used SITT and the deputy supervisor (wasor) from the health office district of Yogyakarta city. The sample selection uses a porpusive sample, namely the selection of samples with certain criteria that are considered to be able to answer the research problem.&#x0D; Results : Assessment of human factors at SITB is known that system users have received training before the system is used so that the system can be easily used, users are satisfied with the system that has been provided. Assessment of Organizational Factors, it is known that officers who use SITB at Puskesmas Mergangsan are sufficient, namely there are programmers, SITB in charge of the laboratory and SITB in charge of pharmacy, there is supporting facilities from Puskesmas Mergangsan, namely the procurement of laptops. Evaluation is carried out by the Dinas Kesehatan Kota Yogyakarta every three months. Technological Factor Assessment, the quality of the information produced depends on the accuracy of the data entered by health workers, there is still incomplete or clear information. The quality of system services is supported by the provision of a communication and coordination group by the Dinas Kesehatan Kota Yogyakarta.&#x0D; Conclusion : The implementation of SITB at the Puskesmas is still constrained in the input section of network facilities which has an impact on the data input process which cannot be done quickly, thus requiring support from the Puskesmas. It is hoped that there will be periodic socialization carried out by the Dinas Kesehatan Kota Yogyakarta as an evaluator of SITB users at the Puskesmas so that the use of SITB is more optimal