Reviewerly/exHarmony huggingface dataset:
DEVELOPING SUPPLEMENTARY READING MATERIALS FOR THE STUDENTS OF EIGHTH GRADERS NURUS SALAFIYAH PROBOLINGGO

Developing Supplementary Reading Materials for the students of eighth Graders at Nurus Salafiyah Probolinggo. It modified Latief model (2009); the researcher developed material based on data analysis taken from a preliminary study. The material was validated and tried-out to class VIII-B of Nurus Salafiyah Probolinggo. The result showed that this study and the product have successfully answered the students' needs in reading skills. Therefore, the product could be used for the eighth-grader students of Nurus Salafiyah Probolinggo
The content of the reference role image of the teacher for students with different levels of academic motivation

An important element of an educator's role is to direct students' impressions of him or her.This requires knowing how students see them, i.e., to have an impression of their own reference image on the part of their students.This study analyses the survey results of 333 students from different institutions of higher education and different courses of study.The survey made use of the "Personal Differential" and "Scale of Academic Motivation" methods.Data was collected online with the help of Google Forms.The students' reference image of their instructor was then examined in relation to gender, length of study, subject of study and level of academic motivation.A factor analysis according to the "Personal Differential" method identified two factors related to the instructor's reference image: "Qualities reflecting the ideal instructor's ability of effective self-control" and "Communicative qualities of the ideal instructor".A k-means cluster analysis was then conducted on the basis of the "Scale of Academic Motivation" subscale.This identified two clusters of students, those with: 1) higher levels of motivation for achievement and for acquisition of knowledge, and 2) higher levels of external motivations (significant levels of introjective motivations between clusters were not observed).A Mann-Whitney analysis indicated significant differences between students of the first and second clusters according to the "Qualities reflecting the ideal instructor's ability of effective selfcontrol" and "Communicative qualities of the ideal instructor" factors.Furthermore, students who had higher levels of motivation for achievement and acquisition of knowledge inclined toward a reference image that represented "Qualities reflecting the ideal instructor's ability of effective self-control".We propose that students with higher levels of motivation for acquiring knowledge and achievement put greater value on a style of organisation that promotes success.We did not observe significant differences among students based on their gender, length and subject of study.
Estimasi Biaya Perangkat Lunak SIMAS Universitas XYZ Menggunakan Metode Function Points

Accurate cost estimation in developing a software is very important to avoid over-estimating or under-estimating. The estimation method used is using the Function Points method. The stages of the Function Points method are the first step to compose 5 main parameters and calculate the total UCP, the second step to calculate the total RCAF by referring to 14 characteristics, the third step to calculate the Function Point, the fourth step to calculate the effort, the fifth step to calculate SLoC, the sixth step to calculate SLoC to effort and seventh counts the distribution of effort to activity. From the research that has been done, the estimated cost of developing SIMAS XYZ University software, it is concluded that if XYZ universities want to develop SIMAS software, it will require approximately IDR77,736,766 or equivalent to effort 1,520.74 man / hour.
Correlation Analysis of Risk Factors in the big data Projects

These instructions give you guidelines for preparing papers for Big data projects can be performed successfully when they satisfy the two main axes of corporate culture and use of technology. This study conducted correlation analysis of the risk groups and risk sub-groups based on the risk classification table of big data projects and drew a map of correlation using the analysis results. For such a purpose, the correlations among 6 risk groups and 13 risk sub-groups were analyzed. As a result, 12 risk group factors and 15 risk sub-group factors that have a high degree of correlation were discovered. This study will reduce the gap between the corporate culture and the technological culture related to big data projects by drawing the direction and degree of the relationships among risk factors related to big data projects and at the same time will be applied to practical risk management activities in big data projects and provide a theoretical basis that can be used as a parameter at the time of measurement of efficiency for risk management.
Modified locally-adaptive myriad filters

Modified myriad locally-adaptive filters (LAF) in a sliding data window with complex use of local activity indicators (LAIs) of previously designed myriad LAFs are proposed. Improvement of integral indicator for the whole complex one-dimensional signal and local efficiency indicators at segments of linear change, constant level and step edge of signal function was achieved according to criterion of the mean-square error. Based on LAIs comparison, the myriad LAFs switch adaptive myriad filters with adaptation of linearity parameter K depending upon local scale estimates and with different values of window length and coefficient influencing on K. In one of the proposed LAFs, the LAI are also used for approximate estimation of the noise level and for choosing the corresponding set of component filters with parameters more appropriate to the estimated noise level. The preliminary use of the robust Hampel myriad filter is proposed for better spikes removal. The algorithms are implemented in real time.
NILAI PENDIDIKAN KARAKTER DALAM NOVEL “AYAH” KARYA ANDREA HIRATA DAN KONTRIBUSINYA TERHADAP PENGAJARAN SASTRA INDONESIA [Character Education Value in “Ayah” Novel by Andrea Hirata and its Contribution on Teaching Indonesian Literature]

Penelitian ini bertujuan mendeskripsikan nilai pendidikan karakter dalam novel Ayah karya Andrea Hirata. Novel Ayah sebagai sumber data penelitian dan kutipan teks berbentuk narasi yang mengandung nilai pendidikan sebagai data. Teknik pengumpulan data dilakukan dengan teknik dokumentasi, baca, dan catat. Tahapan teknik analisis data dilakukan dengan cara reduksi data, penyajian data, serta penyimpulan  dan verifikasi hasil penelitian. Hasil penelitian menunjukkan bahwa (1) temuan nilai-nilai pendidikan karakter dalam novel Ayah karya Andrea Hirata terdiri dari lima belas nilai yakni: religius, jujur, disiplin, kerja keras, kreatif, mandiri, demokratis, rasa ingin tahu, cinta tanah air, menghargai prestasi, bersahabat/komunikatif, cinta damai, gemar membaca, peduli sosial, dan tanggung jawab (2) kontribusi novel Ayah karya Andrea Hirata terhadap pengajaran Sastra Indonesia adalah pemanfaatan novel sebagai bahan untuk pengembangan nilai pendidikan karakter di sekolah terutama dalam pengajaran Sastra Indonesia khususnya teks novel. This study aims to describe the value of character education in Andrea Hirata's-Ayah.  Ayah as a source of research data and narrative text quotations that contain educational value as data. The technique of data collection is done by the documentation, reading, and note taking techniques. Stages of data analysis techniques are carried out by means of data reduction, data presentation,  the conclusion and verification of research results. The results showed that (1)  the values of character education in Andrea Hirata's-Ayah- consisted of fifteen values namely: religious, honest, disciplined, hard work, creative, independent, democratic, curiosity, love of the motherland, respect achievement, friendly / communicative, peace-loving, fond of reading, social care, and responsibility (2) the contribution of Andrea Hirata's –Ayah-   teaching of Indonesian Literature is the use of novels as material todevelop the value of character education in schools especially text novel.
Efficacy of Deep Q-Learning in a Target Reaching Task Including Obstacle Avoidance

It is desirable for a robot to be able to accomplish assigned tasks even in a changing environment. Deep reinforcement learning draws attention recently as a learning method for autonomous mobile robots. This research picks up an example mission where an experimental robot TurtleBot3 Burger reaches the target point avoiding obstacles. Simulation experiments are performed to compare conventional Q-learning and DQN．As a result, DQN is superior to Q-learning in that it can effectively learn the proper actions using the sensor output directly as the input.
CHARACTERISTICS AND PRINCIPLES OF RESOURCE-ORIENTED TEACHING

This article addresses the problem of professional training of future psychologists. It is assumed that it is possible to find an optimal correlation between the acquisition of special knowledge and the formation of personal readiness of psychologists for professional activity. As demonstrated in the article, the character of this correlation depends on the use of a specific method of teaching, and more specifically, the conception of teaching oriented towards forming certain personal qualities. For the efficient education of psychologists it is necessary to make a systemic analysis of expected personal changes in the process and as a result of teaching them. In theory we are realizing an analysis of expected personal changes in the process and the result of teaching them in following modern conceptions of teaching: of programmed teaching, of problem-based teaching, of euristic teaching, of developing teaching, of media-education, of interactive teaching, of active social and psychological teaching, of person-oriented teaching, of experiential teaching. In this paper the author analyzes the main principles of resource-oriented teaching. Resource-oriented teaching creates the ground for the optimal combination of the requirements of professional preparation and personal development of psychology students.
Device Development and Firmware Programming for Vitamin D Management

Lack of outdoor activities, and the use of sunscreen, low sunlight causes vitamin D deficiency. Lack of vitamin D can lead to bone disease, diabetes, muscle strength and cardiovascular disease. This study measures the amount of sunshine for each individual and establishes a management system that applies the amount of insufficient sunshine. Firmware programming is important for this operation. In this study, we improved the efficiency by using scheduling method.
Method of Domestic Small and Medium-sized Software Projects

This paper mainly introduces the problems existing in the development process of small and medium-sized software projects in China, and analyzes the problems solved by the heavy load development method and the light load development method, and finally compares and chooses the two development methods.
Approximate spectral models of random processes with periodic properties

Abstract We consider approaches to simulation of periodically correlated random processes based on the nonstandard spectral representation of the process with parameters periodically varying in time and also on spectral representations using the vector stationary Gaussian processes.
THE USE OF INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) DEVICES FOR TEACHING ENGLISH BY PRE-SERVICE TEACHERS

The use of ICT devices for teaching English is much needed right now, because it can attract students’ motivation in learning. It is very helpful especially for pre-service teachers, the novice teachers. The aims of this research were to investigate the use of ICT devices for teaching English by Pre-service teachers, describe the ICT devices frequently used for teaching English by pre-service teachers, find out students’ perceptions towards the use of ICT devices for teaching English by pre-service teachers. This research was employed through a mixed-methods approach that integrated qualitative and quantitative research design. The data handled quantitatively were gathered via the online questionnaire, and qualitative data were collected via the semi-structured interviews and observation to the 24 pre-service teachers. The result of research showed that there were three ways in using ICT devices in teaching English during teaching practice program. First, most of pre-service teachers always used ICT devices as the source of teaching material. Second, most of them often used ICT devices as the instructional teaching. The last most of pre-service teachers always used ICT devices as the communication tools. The ICT devices frequently used during teaching English were smartphone, computer, and in focus. Most students absolutely agree if pre-services teachers use ICT devices for teaching English because it was advantageous toward students’ English competences. It can be concluded that there were three ways of pre-service teachers used ICT devices during teaching practice program; mostly as the source of teaching materials, as the instructional teaching, and as the communication tools. Three ICT devices frequently used by pre-service teachers during teaching practice program were smartphone, computer, and in focus. Students absolutely agree towards the use of ICT devices by pre-service teachers in teaching English.
Quality Evaluation of DIBR-Synthesized Images Based on Holes and Expanded Regions

With the Depth-image-based rendering (DIBR) technique, virtual views can be drawn at any position between two reference viewpoints. However, DIBR algorithm may introduce various distortions in the synthesized images, such as holes, artifact, and stretching. This paper proposes a quality evaluation method for DIBR-synthesized images by analyzing the holes and expanded regions. First, the holes regions are obtained with the watershed algorithm and used to evaluate the quality of the DIBR-synthesized images. Then, the synthesized image is compared with the reference image in the sub-channel, and the number of different pixel values is used to assess the global quality of synthesized images. Finally, the two measures are pooled to calculate the overall quality score of the DIBR synthesized image. Experimental results show that our scheme can better predict the image quality and performs better in terms of implementation time compared with other schemes.
Mathematical Approximation of Single and Double-Sided Truncated Normal Distribution Using Logistic Function

This article provides a mathematical approximation model of the general double-sided truncated normal distribution. The right and left-sided cases are included in the model as special cases. The double-sided truncated normal distribution is important for many applications in industrial and systems engineering. For example, in quality control, production engineers maybe interested in scrapping the unfit products. The distribution of product variations after this scrapping is basically double-sided truncated normal distribution. A full analysis of deviation of the introduced approximation’s results from the actual results is provided. Further, recommendations for the use of the model are provided.
Teaching Reform and Innovation in Architectural Design Based on the “Internet +”

With the development of "Internet +", the traditional construction industry, relying on Internet technology, has achieved the connection between the network and the industry.The development of "Internet +" has brought about a new round of revolution in informatization and visualization, and has also promoted the reform and innovation of traditional architectural design teaching.Based on the author's learning and teaching experience, this work first analyzed the opportunities and challenges that "Internet +" brings to the teaching reform in architectural design, and then put forward feasible countermeasures for teaching reform and innovation in architectural design guided by "Internet +".It includes creating teaching scenarios, determining work contents, making implementation plans and selecting working methods.
The Possibilities That Theories Provide (Physical Modals) and the Possibilities of Laws (Nomic Modals)

In the previous chapter we agued that every theory provides a collection of physical possibilities, − they are the (basic) elements of its associated magnitude vector space. The elements of that space are the modal physical possibilities provided by the theory. We will now explain why they are genuine modal possibilities, and not merely a loose way of speaking.
Authentication Based Cloud Computing Security Model for e-Healthcare System

Providing medical services,for analyzing the information through collecting the patient’s vital data, required lot of labor work. Thesemethods are usually slow and error-prone, using a potential that avoids real-time data accessibility. This set-upkeeps the clinical diagnostics and monitoring facilities. With this kind of situation, the sensors with medical equipment’s and cloud servers are inter-connected to exchange the service [1]. The data available in cloud can be managed by expert systems and further distributed to medical staff. The problem with this solution is that there is no authentication from patient side as well as from medical staff/doctors side. From patient side there is no surety that, data which is stored on cloud will be right data or not and from medical staff/doctor side also not surety that they will not misuse the data.  For this problem a solution as a model is proposed in this paper, in which authentication is mandatory for both-sides, patient side and staff/doctor side.
Domain adaptation by proactive labeling

Getting tagged data is an expensive and time-consuming process. There are several approaches to how to reduce the number of examples needed for training. For example, the methods used in active learning are aimed at choosing only the most difficult examples for marking. Using active learning allows to achieve results similar to supervised learning, using much less labeled data. However, such methods are often dispersive and highly dependent on the choice of the initial approximation, and the optimal strategies for choosing examples for marking up either depend on the type of classifier or are computationally complex. Another approach is domain adaptation. Most of the approaches in this area are unsupervised and are based on approximating the distribution of data in domains by solving the problem of optimal transfer or extraction of domain-independent features. Supervised learning approaches are not resistant to changes in the distribution of the target variable. This is one of the reasons why the task of semis-supervised domain adaptation is posed: there are labeled data in the source domain, a lot of unlabeled data in the target domain and the ability to get labels for some of the data from the target domain. In this work, we show how proactive labeling can help transfer knowledge from one source domain to a different but relative target domain. We propose to use a machine learning model trained on source domain as a free fallible oracle. This oracle can determine complexity of a training example to make several decisions. First, this example should be added to training dataset. Second, do we have enough knowldge learnt from source to label this example ourself or we need to call a trusted expert? We present an algorithm that utilize this ideas and one of its features is ability to work with any classifier that has probabilistic interpretation of its outputs. Experimental evaluation on Amazon review dataset establish the effectiveness of proposed method.
INOVASI SEDIAAN ORAL FISETIN DENGAN TEKNOLOGI SMART EDIBLE PAPER

Fisetin is a flavonoid compound has natural antioxidant, anti-inflammatory and anticancer activities. It has very low bioavailability and the provision of fisetin in the oral dosage form is very limited. Research has been carried out to develop and increase solubility and dissolution of fisetin. It was further developed into a solid oral dosage form of tablets with an edible paper matrix. This study that to develop fisetin into tablet dosage form with an edible paper matrix, determine the physical quality of tablets and drug release in vitro. Fisetin was dissolved in a suitable solvent and then poured over an edible paper matrix, dried and cut in 1x1 cm size. Paper cuttings are printed directly with various compressive strengths of 2, 4 and 6 tons. Tablet physical quality tests include hardness, disintegration time, friability, weight uniformity, and drug content. Furthermore, dissolution was tested and the best formula was chosen. The results of this research show that fisetin has the greatest solubility with DMSO solvent. The edible paper matrix weight is 1000 mg and a tablet weight is 500 mg. Formula I with a compressive strength of 2 tons is the best formula and meets the physical quality test requirements of the tablet. The release of formula I (FI) drug was superior (95.20%) and significantly higher (p<0,05) compared to formula II and III.
Japanese Text Recognition

The article describes the method of image recognition on the example of recognition of Japanese characters. Recognition is carried out by determining the lengths of the contours. After that, the moments of each circuit are compared. Also, taking into account the peculiarities of Japanese characters, the comparison occurs line by line. This approach can also be used to teach writing hieroglyphs. The same principle has been applied to the recognition of road signs.
A blueprint and proof-of-concept for a national cyber security sensor network

The timely exchange of information on new threats and vulnerabilities has become a cornerstone of effective cyber defence in recent years.Especially national authorities increasingly assume their role as information brokers through national cyber security centres and distribute warnings on new attack vectors and vital recommendations on how to mitigate them.Although many of these initiatives are effective to some degree, they also suffer from severe limitations.Many steps in the exchange process require extensive human involvement to manually review, vet, enrich, analyse and distribute security information.Some countries have therefore started to adopt distributed cyber security sensor networks to enable the automatic collection, analysis and preparation of security data and thus effectively overcome limiting scalability factors.The basic idea of IoC-centric cyber security sensor networks is that the national authorities distribute Indicators of Compromise (IoCs) to organizations and receive sightings in return.This effectively helps them to estimate the spreading of malware, anticipate further trends of spreading and derive vital findings for decision makers.While this application case seems quite simple, there are some tough questions to be answered in advance, which steer the further design decisions: How much can the monitored organization be trusted to be a partner in the search for malware?How much control of the scanning process should be delegated to the organization?What is the right level of search depth?How to deal with confidential indicators?What can be derived from encrypted traffic?How are new indicators distributed, prioritized, and scan targets selected in a scalable manner?What is a good strategy to re-schedule scans to derive meaningful data on trends, such as rate of spreading?This paper suggests a blueprint for a sensor network and raises related questions, outlines design principles, and discusses lessons learned from small-scale pilots.