Reviewerly/exHarmony huggingface dataset:
PEMBELAJARAN MENGANALISIS STRUKTUR TEKS CERITA PENDEK “IBU PERGI KE LAUT” KARYA PUTHUT EA PADA SISWA SMA

This study discusses learning to analyze the structure of short stories. Curriculum 2013 there is a basic indicator that must be mastered by high school students is to analyze short story text in class XI semester 1. The problem raised is whether the short story text of Mother Going to the Sea is suitable to be used in learning to analyze the structure of short stories in the 2013 curriculum in high school? The purpose of writing is to find out the short story text suitable for use in learning to analyze short story texts in high school. The method used is descriptive qualitative. The data in the study were analyzed by technique in the form of analyzing only the short story textual structure in the story. Sturktur from short story text is Abstraction, Orientation, Complication, Evaluation, Resolution, and Koda. The results obtained abstraction structure, orientation, complication, evaluation, resolution, and koda found on short story Mother Go To Sea. Thus, the story is suitable for learning in analyzing short story text in the 2013 curriculum in high school.
Norbornadienes for Solar Thermal Energy Storage and New Applications

The energy demand worldwide is steadily increasing, therefore it is fundamental to efficiently utilise renewable energy resources. Energy storage technologies are partic- ularly relevant in order to be able to exploit renewable energy resources such as solar energy, since these are typically intermittent and not evenly distributed. The work presen- ted in this thesis is focused on trying to optimise norbornadiene-quadricyclane systems to harness and store solar energy. Norbornadienes are able to absorb light, and undergo photoinduced isomerization to the high energy isomer quadricyclane, which is stable over time. When quadricyclanes back isomerise to norbornadienes they release the absorbed energy as heat. This technology is called “molecular solar thermal”, or MOST. Differ- ent features need to be optimised in order to utilise norbornadiene-quadricyclane pho- toswitches for MOST applications. In my work I focused on synthesising new norbor- nadienes, characterising their molecular and spectroscopic properties, and trying to op- timise them for energy storage purposes. In particular I focused on identifying specific structure-properties relationship that allow selectively engineering the kinetic stability of quadricyclanes, to achieve longer storage times. This was in fact achieved in a series of norbornadienes by selectively increasing the entropy of activation to the back isomeriza- tion. A small device was also built, in order to test a hybrid technology that would combine MOST and solar water heating. These laboratory-scale experiments were particularly in- structive in demonstrating the potential of MOST systems, and learning about the future challenges. Liquid, neat norbornadienes were also made, and their properties assessed. They retained the ability to photoisomerise and back convert in neat samples, but new challenges arose, such as stability over multiple cycles and storage times. Moreover, the use of a norbornadiene-quadriyclane photoswitch as a molecular keypad lock is demon- strated.
Analisis Pengujian Pemutus Tenaga Bay Gondangrejo 2 Dalam Pemeliharaan Dua Tahunan di Gardu Induk Palur

Substation is a part of electric power transmission system that serves to reduce voltage. One of the electrical equipment is a circuit breaker (CB) which is a switch that is used to connect or disconnect electrical power in normal or abnormal conditions / disturbances. To maintain the reliability of CB, it is necessary to do regular maintenance. Maintenance of CB is done by testing the insulation resistance, contact resistance, grounding resistance and CB contact synchronization test. This research aims to determine the effect of maintenance of CB on the reliability of the CB. This research was conducted by comparing data on CB maintenance results in the last few maintenance periods. The research was conducted at CB bay Gondangrejo 2 at the Palur substation. The results showed that the insulation resistance test had varying values in several maintenance periods, the insulation ability of each phase also varied. Then in testing of the contact resistance the value always increases in each maintenance period but it is still within the allowable limit. The grounding resistance of CB are also in good condition, because in 3 maintenance periods the value is always the same, namely 0,3 Ω. In contact synchronization testing, the working time of individual contacts is within the permitted standard, which is under 120 milliseconds, but in 2016 the difference in working time between phases is 10,9 milliseconds. This value is not in accordance with the permitted standard, which is <10 milliseconds, of course, it is necessary to repair CB contacts. Overall, with the maintenance of circuit breakers, the reliability of CB bay Gondangrejo 2 is maintained so that CB can work properly in accordance with its functions.
ANALISIS KETERAMPILAN MEMBUKA DAN MENUTUP PELAJARAN DALAM PELAKSANAAN PEMBELAJARAN MATEMATIKA SD NEGERI 192 PEKANBARU

The background of this research is the importance of applying the skills to open and close lessons in the process of implementing classroom learning. This study aims to describe the teacher's skills in opening and closing learning in the implementation of mathematics learning at SD Negeri 192 Pekanbaru. The type of research used is descriptive qualitative. The subject of the research was the IV grade teacher named Wiki Destalia, S.Pd.I. Data collection techniques use observation, interviews, and documentation. Test the credibility of the data through triangulation and data analysis techniques, namely data management, data reduction, data presentation, and conclusion drawing. The results achieved in this study is that the teacher has implemented the skills of opening and closing lessons in the process of implementing mathematics learning, but there are several indicators on the components opening and closing lessons that are rarely even seen by teachers, such as indicators of student interaction with students very rarely seen, giving rise to motivation that the indicator presents contradictory ideas to provoke students 'interest in learning material and pay attention to students' interests.
Supervised Learning Using PyTorch

Supervised machine learning is the most sophisticated branch of machine learning. It is in use in almost all fields, including artificial intelligence, cognitive computing, and language processing. Machine learning literature broadly talks about three types of learning: supervised, unsupervised, and reinforcement learning. In supervised learning, the machine learns to recognize the output; hence, it is task driven and the task can be classification or regression.
Towards Formal Verification of Cache Access-based Side-Channel Attacks

Cache access-based side-channel attacks utilize the timing difference between cache hits and misses as a leakagesource to jeopardize system security. Although previous worksaddress such threat, finding secure and efficient solutions to verify the security is still a challenge. In this paper, we propose a method that allows the formal verification of the security properties of cache. In the experiments, we show our technique to formally verify the security of four cache configurations, by changing the number of cache lines, associativity and cache line size. We show that our method is an effective and efficient solution towards a secure cache.
ANALISIS UNSUR INTRINSIK NOVEL MENGGAPAI MATAHARI KARYA DERMAWAN WIBISONO

Writing of literature will be more interesting when combined with intrinsic elements that can attract the interest of readers in various circles, be it children, teenagers, adults, and parents. Analysis of this novel aims to describe the intrinsic elements contained in the novel Menggapai Matahari by Dermawan Wibisono . The data source used in this research is the novel Menggapai Matahari by Dermawan Wibisono . The method used is qualitative descriptive method. The results of this study indicate that the novel Menggapai Matahari by Dermawan Wibisono there is a theme that is a child trying to restore the confidence of his mother, a pareatif figure, using a forward flow, with the background place, time and atmosphere. The point of view that is used is the first person the main actor and there is a mandate to keep the parents brightening and the mandate contained in the novel Reach the Sun by Dermawan Wibisono is to always distrust to anyone except to God.
Cooperation between CSIRTs and Law Enforcement: interaction with the Judiciary

The purpose of this report is to further explore the cooperation between computer security incident response teams (CSIRTs) (in particular national and governmental CSIRTs) and law enforcement (LE) by adding the important dimension of their interaction with the judiciary (prosecutors and judges). This report follows two reports that ENISA published in 2017: Tools and methodologies to support cooperation between CSIRTs and law enforcement (ENISA, 2017), which focused on technical aspects and Improving cooperation between CSIRTs and law enforcement: Legal and organisational aspects (ENISA, 2017a), which focused on the legal and organisational issues of cooperation; both are available on the ENISA website.This report aims to support the cooperation between CSIRTs and LE, as well as their interaction with the judiciary in their fight against cybercrime, by providing information on the legal, organisational, technical and cultural aspects, identifying current shortcomings and making recommendations to further enhance cooperation. The geographical coverage is mainly the EU and European Free Trade Association (EFTA).The data for this report was collected via desk research, interviews with subject-matter experts and an online survey. The data showed that CSIRTs, LE and the judiciary are characterised by significant differences in roles and structure. The kind of information to which CSIRTs and LE have access is different, this is one of the primary reasons why sharing information between them is paramount to respond to cybercrime. Across Member States different models/frameworks of interaction exist among the three communities (CSIRTs, LE and the judiciary). Overall CSIRTs interact more with LE rather than with the judiciary. CSIRTs offer support to LE to collect and analyse different types of evidence. CSIRTs are rarely called as witnesses in courts but the material they collect during the incident handling might be used to decide on (cyber) crime cases.Although the cooperation and interaction across the CSIRT, LE and judiciary communities work well in principle, there are still some challenges to be faced. In particular, some legal aspects are seen as the biggest challenge with issues such the diversity of the legal frameworks, data retention, the sharing of personal data (including internet protocol (IP) addresses) and the confidentiality around criminal investigations as well as evidential admissibility of digital evidence.
Equality and Cloning Operations from VES Perspective

In this chapter, we will learn about two fundamental operations, equals and clone. As we learned in Chapter 1 and Chapter 2 , the fundamental types array and string are part of any kind of application targeting an implementation of .NET. But some of the behaviors available within these types come from the VES and are expressed through methods and functionalities that are implicitly available. For example, references types and value types derive from the root reference type System.Object, implicitly or explicitly. So, reference types and value types inherit some of the fundamental behaviors designed and described by the CTS, which are implemented and enforced by the VES.
PLAYFAIR CIPHER BLOCK CHAINING AND ELLIPTIC CURVE FOR REPRESENTATIONAL STATE TRANSFER DATA EXCHANGE SECURITY

REpresentational State Transfer (REST) is a representation for online data exchange and have good speed and response. The ease for commnunication exchange if not safeguard can be result in unauthorized information is read by unauthorized persons. Cryptography is an art and science used to keep or secure data. Modifying the cryptography algorithm in another form from the basic method, will get a variety of it method. Playfair Cipher Block Chaining (Playfair CBC) algorithm is used to secure request data by applying encrypted digraph to build lock again. The weakness of this algorithm lies in securing the key so that another algorithm is needed to do so. The Elliptic Curve algorithm is used to solve the security lock problem. Testing had done by using 10 different data. Testing indicates that the key can be used to perform encryption and decryption. Perform brute force analysis on the algorithm used. Analysis is shows the algorithm used has a good level of security.
Music Generation Powered by Artificial Intelligence

Music is an essential part of human life in our days. Despite a long history ofthe phenomena people still explore it and expand the new horizons. For the last tenyears quality of computer-generated music significantly improved. State of the artmachine learning models like PerformanceRNN can perform music close to a humanlevel. However, it is hard to deal with a generation of long-term music for thesystems. In work, we apply a TCN model to a generation music task and evaluatethe quality of the music. We show that the models have a significantly better performancethan a baseline model for a long-term music generation task. However, ithas own weak points in musicality and time generation. We also discuss possibleoptions to resolve the issues.
The Cpi-calculus: a Model for Confidential Name Passing

Sharing confidential information in distributed systems is a necessity in many applications, however, it opens the problem of controlling information sharing even among trusted parties.In this paper, we present a formal model in which dissemination of information is disabled at the level of the syntax in a direct way.We introduce a subcalculus of the π-calculus in which channels are considered as confidential information.The only difference with respect to the π-calculus is that channels once received cannot be forwarded later on.By means of examples, we give an initial idea of how some privacy notions already studied in the past, such as group creation and name hiding, can be represented without any additional language constructs.We also present an encoding of the (sum-free) π-calculus in our calculus.
Differential evolution with spatially neighbourhood best search in dynamic environment

In recent years, there has been a growing interest in applying differential evolution (DE) to optimisation problems in a dynamic environment. The ability of tracking a changing optimum over time is concerned in dynamic optimisation problems (DOPs). In this study, an improved niching-based scheme named spatially neighbourhood best search DE (SnDE) for DOPs is proposed. The SnDE adopts DE with DE/best/1/bin scheme. The best individual in the selected scheme is searched around the considered individual in a predefined neighbourhood size, thus keeping a balance between exploitation ability and exploration ability. A comparative study with several algorithms with different characteristics on a common platform by using the moving peaks benchmark (MPB) and various problem settings are presented in this study. The results indicate that the proposed algorithm can track the changing optimum in each circumstance effectively on the selected benchmark function.
THE EFFECT OF USING STILL PICTURES ON STUDENTS’ ACHIEVEMENT IN WRITING PROCEDURE TEXT

This study aims to find out whether students’ achievement through using still Pictures is higher than the students’ achievement through motion pictures in writing procedure text. The research of the study was conducted by experimental research. The subject of this study w as the students of SMA Swasta Abdi Negara Binjai class X 2 and X 3 consisted of 30 students for each class. The research was conducted in two groups. They are experimental group using treatment still pictures and control group using treatment motion pictures. To collecting the data was taken from writing test. Based on the calculation, it show s that the reliability of the test was 0, 81 categorized as very high reliability . Then, after analyzing the data, it was found that the value of t o was 3. 644 with the degree of freedom (df) = 5 8 at the level of significance p(0,05) = 2,0 0 4. It means that t o is higher than t t (3, 644 > 2,0 0 4). It was found that teaching procedure text by using still pictures is higher than using motion pictures. Still pictures ha ve a significant effect on students’ achievement in writing procedure text. It is suggested that English teacher use still pictures as one of alternatives media in teaching procedure writing. Keywords : Still Pictures , Writing Achievement.
Trading Stocks on Blocks - The Quality of Decentralized Markets

The trust-free nature of blockchain-based systems challenges the role of traditional platform providers and enables the creation of new, intermediary-free markets. Despite the growing number of such markets, the impact of the blockchain's configuration on market outcomes remains unclear. In this study, we utilize order-level data from realworld financial markets to explore the impact of the blockchain parameters block size and block creation time on the quality of decentralized markets. More specifically, we find that increasing the blocks' capacity improves market activity, while higher block frequencies impose a trade-off between higher turnovers and lower trade sizes. In addition, we identify the block creation time and block size as core drivers of daily and intraday liquidity, respectively. In consequence, improving liquidity goes hand in hand with a higher activity. However, the reciprocal relationship between blockchain parameters and the increasing price impact of a block also indicate that faster and bigger blocks are no silver bullet to scale decentralized markets and may facilitate volatility. In total, we contribute an initial, technology-agnostic assessment of the quality of decentralized markets that aims to guide interdisciplinary researchers and innovative practitioners.
Content based Image Retrieval System using K-Means Clustering Algorithm and SVM Classifier Technique

The dramatic rise in the sizes of pictures databases has blended the advancement of powerful and productive recovery frameworks. The improvement of these frameworks began with recovering pictures utilizing printed implications however later presented picture recovery dependent on substance. This came to be known as Content Based Image Retrieval or CBIR. Frameworks utilizing CBIR recover pictures dependent on visual highlights, for example, surface, shading and shape, rather than relying upon picture depictions or printed ordering. In the proposed work we will use various types of image features like colour, texture, shape, energy, amplitude and cluster distance to classify the images according to the query image. We will use multi-SVM technique along with clustering technique to compare the features of the input image with the input dataset of images to extract the similar images as that of the query image.
Large Scale Learning Techniques for Least Squares Support Vector Machines

Although kernel machines allow a non-linear analysis through the transformation of their input data, their computational complexity makes them inefficient in terms of time and memory for the analysis of very large databases. Several attempts have been made to improve kernel methods performance, many of which are focused on approximate the kernel matrix or the feature mapping associated to it. Current trends in machine learning demands the capacity of dealing with large data sets while exploiting the capabilities of massively parallel architectures based on GPUs. This has been mainly accomplished by a combination of gradient descent optimization and online learning. This paper presents an online kernel-based model based on the dual formulation of Least Squared Support Vector Machine method, using the Learning on a Budget strategy to lighten the computational cost. This extends the algorithm capability to analyze very large or high-dimensional data without requiring high memory resources. The method was evaluated against other kernel approximation techniques: Nyström approximation and Random Fourier Features. Experiments made with different datasets show the effectiveness of the Learning on a Budget strategy compared with the other approximation techniques.
Key Performance Indicators and its impact on organization objectives in Jordan contact centers: Case Study: Extensya “Customer Service through contact center

Introduction: It is important for any organization to identify clearly its goals to gain the ability to achieve success and sustainability. Key performance indicators are important to be identified to achieve this success.  Objectives:  This study investigates the impact of meeting Key Performance Indicators on organization objectives. Methods and subjects:  The study has been conducted on Jordanian contact center sector at (Extensya Company). Questionnaires were distributed to Senior and middle management employees. The study comprise (79) questionnaire. Data collection techniques was acquired and accumulated data for 6 months period of time from the company records including the achieved percentages of KPI’s, and actual data of the organization objectives achieved. Results:  The results revealed that: There is a significant role of KPI’s on the organization profit. There is a significant role of meeting the KPI’s on enhancing customer/Client satisfaction. The findings indicated that there is a significant role of meeting the KPI’s on enhancing employee satisfaction. Finally, the results also showed that the organization objectives are affected positively by meeting the KPI’s. Conclusions:  In light of previous findings, the study presented number of recommendations: The study recommends the adoption of Key Performance Indicators (KPI’s) in Jordanian contact center organizations to achieve the organization objectives. Also to employ all operational decisions to make the goal of meeting KPI’s a subject to success.
Solo Fitness Center (Pendekatan Konsep Green Architecture)

Fitness is one of the modern sports, in Indonesia this sport is sufficient for rapid progress. This was responded very well, namely more and more places or fitness centers were established in major cities in Indonesia. From above and above who are very fond of this sport. And most of them are young people, because fitness is considered effective and efficient enough to improve the body after daily routine.With the concept of Green Architecture that is expected to optimize the use of energy by utilizing energy that comes from nature (Energy of nature) and combined with high technology (High technology performance). If this concept can improve the patterns of community life, it can also be used to improve the situation in the busy life or daily routine for people in the city of Solo.
Comparative study of machine learning techniques for breast cancer identification/diagnosis

The number of new cases of female breast cancer was 124.9 per 100,000 women per year. Similarly, deaths were 21.2 per 100,000 women per year. It calls for an urge to increase the awareness of breast cancer and very accurately analyse the causes which may differ in minute variations. This is why the application of computation techniques are widely increasing to support the diagnostic results. In this paper, we present the application of several machine learning techniques and models like neural network, SVM is used to quantify the classifications. The techniques that are most reliable, accurate and robust are emphasised. It gives a plethora of explorations into the research field for developing predictive models. To achieve higher reliability on the data, we present the comparison of various Machine Learning techniques on a dataset that is available on the website Kaggle.