Reviewerly/exHarmony huggingface dataset:
Security Audit of Distributed Computing Innovations: A Survey

Cloud computing can eliminate the prerequisites for building an expensive computing framework and guarantees to provide the versatile design that is accessible from anywhere. The information within the cloud computing resides over a briefing of network resources that allows position of the necessities for putting in expensive data centers framework and knowledge to be nonheritable to via virtual machines, and these serves could be organized in any piece of the world. The distributed computing environment is adopted by an oversized variety of organizations that the fast transition toward the clouds has burning issues regarding security perspective. The use of cloud computing presents a number of risks and challenges. The purpose of this paper is to spot security problems in cloud computing which is able to be useful to each cloud service providers and clients to determine those issues. Subsequently, this paper will get to cloud security by perceiving security prerequisites and trying to find the feasible solution that can decrease these possible threats.
Analisis terhadap Dataset Penerima Beasiswa KIP Kuliah menggunakan Algoritma Naïve Bayes

Developments in the field of technology have progressed so rapidly in the 21st century. Including data extraction technology or commonly referred to as data mining. One of the uses of data mining is to classify or group data. This study aims to find out the accuracy results of the KIP Lecture recipient dataset using the Naives Bayes algorithm and find out which attributes affect it. The dataset used is the KIP Lecture dataset at STMIK IKMI Cirebon. The results obtained from this study are the nave Bayes algorithm produces an accuracy rate of 98.46% with a precision value of 100% and a recall value of 75%. For ROC testing, it shows that the AUC (Area Under Curve) number in this algorithm is 0.984 which indicates that the algorithm is included as an excellent classification. As for attribute weights, in nave Bayes, four attributes are obtained from a total of ten attributes that have weights.
Technology of synthesis of the liquid dosing system

There are a large number of different solutions for dosing liquid products on the world market today. There is no universal technology because the same substances can be dosed on different types of equipment. Thus, the manufacturer faces a difficult task: what type of equipment will be the most optimal for this purpose. These questions are a complex multicriteria scientific task, for the effective solution of which it is necessary to develop a technology for the synthesis of the system of authorization of fluid dosing using methods of multicriteria optimization in different conditions of information certainty. Goal. To develop the technology of synthesis of the liquid dosing system, which will allow to make a scientifi-cally based decision on the choice of hardware and software for the liquid dosing system in different conditions of information certainty. Methodology. The criteria for the selection of hardware and soft-ware for liquid dosing automation systems have been substantiated in the work. Based on the analysis of existing decision-making methods in different condi-tions of information certainty, mathematical models of hardware and software selection for fluid dosing automation have been developed, a physical model of liquid dosing system on the Arduino NANO / UNO microprocessor platform has been built. Results. The developed technology of liquid dosing system allows to determine the features of the project of synthesis of liquid dosing automation systems, develop models of hardware and software selection of liquid dosing automation systems. Originality. Methods using multicriteria optimization methods in different conditions of information certainty due to their extension to a new subject area were further developed. Math-ematical models of hardware and software selection for fluid dosing automation system have been devel-oped. Practical value. The theoretical results obtained are confirmed by building of a physical model of the liquid dosing system on the platform of the Arduino NANO / UNO microprocessor
The design of digital teaching resources: theoretical criteria for their development and implementation

The purpose of this essay is to develop an argumentative dialogue on theoretical criteria that can be considered for the design and implementation of digital teaching resources. The importance of reflecting on this subject lies in the need to improve online instruction which, due to the pandemic caused by the SARS- CoV2 virus, has imposed upon us the need to transfer face-to-face instruction to e-learning modalities such as online or combined education.  E-learning involves new challenges for the design not only of the instruction per se but also of the teaching resources that accompany it. Thus, all educational actors are striving to adapt to e-learning. Some seek to transfer their teaching to an online modality without really changing it or reflecting on how some teaching activities cannot be replicated in a digital format. Others reflecting on precisely the opposite: on how their teaching changes once it is mediated by digital resources, mainly the Internet. It is believed that the expansion of didactic alternatives arising from the change from face-to-face educational modality to the e-learning modality requires exploring some theoretical topics that could be considered as a reference framework to support the development and implementation of digital resources, especially for basic education.
Accurate multi-image super-resolution using deep residual networks

Recent years deep convolutional neural networks(CNNs) have got great success in the single image superresolution(SISR). However, existing CNN-based SISR methods are hard to achieve ideal performance due to the limited information contained in a single low resolution (LR) image. Moreover, when the scale factor is large, SISR methods become difficult to learn and reconstruct unknown information, giving rise to poor performance. To address these issues, we propose a deep residual learning super-resolution framework MFSRResNet using multi-frame LR images as input. Our method MFSRResNet is based on the SRResNet architecture. The main modification is the number of input frames and number of convolutional layer feature maps. We use five-frame LR images as input rather than a single-frame LR image. We create multi-frame LR images by randomly downsampling a HR image and make sure sub-pixel shifts among them. The multi-frame input method increases the amount of information obtained at the input end, thus substantially improves the reconstruction results. Experiments show that MFSRResNet can well integrate the information between different LR images, and get better reconstruction results. MFSRResNet demonstrate the state-of-the-art performances on all benchmark datasets in terms of Peak signal-to-noise ratio (PSNR) and Structural similarity (SSIM). The significant performance improvement in PSNR/SSIM of MFSRResNet is 2.67dB/0.0495(×3),2.27dB/0.05498(×4) and 1.56dB/0.0504(×8) in average on two benchmark datasets Set5 and Set14 respectively compared with current state-of-the-art SISR methods RCAN.
Pengembangan Aplikasi Wisuda Di Politeknik Caltex Riau

The Riau Caltex Polytechnic (PCR) is the best private polytechnic located in Rumbai, founded in 2001. The key to the success of higher education is in addition to the ability and expertise of students, as well as the quality of lecturers in the teaching and learning process. One of the activities completing student studies is marked by following graduation. The direct impact that is felt includes a lack of communication to graduates, causing problems in managing graduate data and data on graduation activities properly, causing the problem of not monitoring the results of the activity lists of each division. From this problem, an application was made that can help the committee in processing graduate data. In testing the functionality of the system 100% went well, while the usability test with 30 respondents and 13 questions obtained a value of more than 88% of the percentage results can say that users strongly agree with the system. Keywords: Politeknik Caltex Riau, graduation
The PENGARUH PENGGUNAAN MEDIA FLANACARAKA TERHADAP KETERAMPILAN MENULIS SANDHANGAN SWARA PADA SISWA KELAS IV SDN TAMPINGMOJO JOMBANG

Abstract: This study aims to know the differences students writing ability on Sandhangan Swara between control and experimental class by using Flanacaraka Media at IV Class Students SDN Tampingmojo Jombang. This research is Quasy Experimental design type Nonequivalent Control Group Class approach. The population in this research consist of 41 students at IV Class in SDN Tampingmojo. The researcher divides the class as control and experimental class. Experimental class consist of 21 students were taught by using Flanacaraka Media and control class consist of 20 students were not. The result of the use flanacaraka media toward students writing ability on sandhangan swara at IV class students SDN Tampingmojo. The statistical test using the t test, namely tcount (2,45) > ttable (2,02), at a significant 0,05  level which means that Ho is rejected and Ha is accepted.  Furthermore, the students’ behavior shown more active, conducive, and more enthusiasm on teaching learning process. Therefore, flanacaraka media very effective toward students writing ability on sandhangan swara in elementary school.
Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data

Providing technologies to communities or domains where training data is scarce or protected e.g., for privacy reasons, is becoming increasingly important.To that end, we generalise methods for unsupervised transfer from multiple input models for structured prediction.We show that the means of aggregating over the input models is critical, and that multiplying marginal probabilities of substructures to obtain high-probability structures for distant supervision is substantially better than taking the union of such structures over the input models, as done in prior work.Testing on 18 languages, we demonstrate that the method works in a cross-lingual setting, considering both dependency parsing and part-of-speech structured prediction problems.Our analyses show that the proposed method produces less noisy labels for the distant supervision.
AÇÕES TÉCNICAS E GERENCIAIS DE FISIOTERAPIA HOSPITALAR FRENTE À COVID-19: RELATO DE EXPERIÊNCIA

INTRODUCTION:The COVID-19 pandemic is an unprecedented challenge for science and society, demanding rapid and diverse responses from the health systems that need to be reorganized, in all its components, to face it.OBJECTIVES: To describe the epidemiological profile of COVID 19 / Sars-CoV-2 according to epidemiological bulletins in the state of Tocantins from June to September 2020 METHODOLOGY: Retrospective, descriptive, quantitative study in analyzes of epidemiological bulletins of cases of corona virus in pandemic in the State of Tocantins in the period from June to September 2020.Research in Science, Direct-Elsevier and PubMed databases, the terms used were: Pandemia, Coronavirus, COVID-19, SARS-CoV-2.RESULTS: Age group most affected were 20-39 (44%) and 40-59 (31%) years.Female sex 46% of the cases; male 54% of the cases with no significant difference between the sexes.Mortality had a significant increase in August with 283 deaths and in June the first month analyzed occurred 124 deaths.The data show that in the two largest cities in the state, despite the difference between the numbers of inhabitants, the number of cases is equivalent, making an ascending and exponential curve in the number of cases for both Palmas municipalities in September (16,297 cases and Araguaína 15,124 cases).Number of deaths in the two municipalities with no significant difference for the month of September Palmas 200 deaths and Araguaína 155 deaths.CONCLUSION: This study analyzed the epidemiological bulletins of COVID19 from June to September 2020 in order to better understand the data reported by the State and Country health agencies and to return this information to the academic community, based also on other scientific studies.
Parallel Fuzzy Aco Using Classification and Cluster Mining

The main purpose of data mining is to extract the required knowledge from data. Data mining is considered as an inter-disciplinary field. Some of the data mining tasks include classification, regression, clustering, and dependence modeling and so on. The first and foremost step is to design the data mining algorithm for which task the algorithm is to be solved. The parallel Fuzzy ACO technique is applied to the data mining tasks of both classification and clustering. The optimization algorithm to partition or creating clusters of data is more efficient. Depending on the nature of data when the level of uncertainty composition is higher in a given data set, parallel fuzzy ACO for classification and clustering gets complicated.The proposed Parallel Fuzzy ACO search procedure is used in the structure of an evolutionary fuzzy system. The capability of the resulted system is investigated according to the classification problem.The clustering approach established in our work Parallel fuzzy ACO for clustering provides a framework for optimization.
PEMBELAJARAN MENULIS TEKS BIOGRAFI PADA SISWA SMK KELAS X DENGAN MENGGUNAKAN MODEL EXAMPLE NON-EXAMPLE BERBANTUAN MEDIA AUDIOVISUAL YOUTUBE

Learning is a form of interaction between teachers and students in order to achieve an expected learning goal. This study aims to examine the scenario and implementation of learning to write biographical text for grade X students using the example non-example model assisted by YouTube audiovisual media, examine the responses of teachers and grade X students to learn how to write biographical texts using the media-assisted example non-example model YouTube audiovisual, and examine the difficulties experienced by students in grade X in completing assignments to write biographical texts. The method used is a qualitative descriptive method. The research subjects were students of SMK Sangkuriang 1 Cimahi class X OTKP 1 with a total of 36 students. by being treated during three meetings, the results in the field showed that the teacher activity sheet got a percentage of 89.58%, and from the student activity sheet that was obtained by 91.18%, so the teacher and student activity sheets were included in the very high category. Then the teacher and student responses to learning to write biographical texts by using a non-example example model assisted by audiovisual media YouTube is very good with the following percentage, the results of the teacher's questionnaire responses reached 55% so that they are included in the high category, while the results of the student response questionnaire reached 58.65% so it is included in the high category. Difficulties experienced by students based on cognitive values obtained by the average student students difficulty in determining linguistic rules in biographical texts, then there are still students who do not pay attention to the three applicable biographical text structures, and in the writing section there are still students who do not pay attention to punctuation, capital letters, and neatness in writing.
PREPARATION OF FUTURE TEACHERS OF TECHNOLOGY FOR THE ORGANIZATION OF PUPILS’ EDUCATIONAL ACTIVITIES IN THE MODERN INFORMATION AND EDUCATIONAL CONDITIONS

It is determined that the competence in the field of activity, which combines practical expediencyand creativity, is fundamentally important for a teacher of labor training and technology. Also the using ofinformation and communication technologies for the organization of educational activities of student is verymomentous thing in this case. Examples of updating the content of technological education within thecurrent Ukrainian State Standard, which provides the links between different subjects, flexibility of theeducational process and the use of information and communication technologies, are also offered.Methodological bases of use of innovations in the course of professional training of future technologyteachers are suggested. It was concluded that due to the lack of clearly defined innovative creative trainingof student, the overall result of their training in the higher school and the level of activity of teachers’decreases. This indicates the need to make changes in the content of professional training of future teachersof technology for the education students of secondary school in modern information and educationalconditions and the development of further researches.
Psychological Readiness of Future Teachers to Implement an Inclusive Approach in Education: Formation and Assessment in the Learning Process

The relevance of the research is determined by a new social demand related to the implementation of inclusive education, the need to transform the content, forms and methods of professional training of future teachers in order to form their professional readiness to work in an inclusive educational space. The subject of a meaningful and structural analysis is the psychological readiness of future teachers to implement an inclusive approach in education within the framework of competence-based and axiological approaches. The study was conducted using theoretical methods-analysis, generalization, comparison, systematization. The main features of inclusive thinking as the basis of psychological readiness of future teachers for inclusive practice are selected: acceptance of inclusion as a normal way of functioning of an educational institution; understanding of an inclusive educational space as open to everyone; reorientation of the priorities of a teacher’s professional activity from achieving academic results to creating conditions for the formation of life competencies and successful socialization of children with disabilities; orientation to team interaction with all participants in the educational process, etc. The experience of forming the psychological component of inclusive readiness of future teachers is described in detail. It is argued that the technologies of contextual learning most meet the tasks of forming the psychological readiness of future teachers to implement inclusive practice. The scientific data on the methods of assessing the psychological readiness of teachers to implement inclusive practice are summarized. It is shown that the formation and qualified assessment of the psychological readiness of a future teacher to work in an inclusive education should be of a systematic and complex format. The presented materials can be taken into account when designing the content of professional educational programs in order to increase the effectiveness of the formation of future teachers’ psychological readiness to work in an inclusive practice. Keywords: professional readiness, inclusive readiness, psychological readiness of future teachers to implement an inclusive approach in education, inclusive thinking, formation and assessment of competencies
THE WAY TO ORGANIZE AN ELECTIVE COURSE ON MECHANICS IN SPECIALIZED TRAINING

In this article, we will consider the introduction of students into the future profession through specialized training in secondary schools of Natural Sciences. An analysis of the concept of specialized training is carried out and a definition is given. Ways to increase interest in technical specialties in physics are analyzed. Ways to increase interest in technical specialties in physics are analyzed. In addition, a task has been defined that will increase the role and effectiveness of vocational guidance in schools. The main areas of implementation of these tasks include independent training, knowledge acquisition, education, formation of students 'maturity and development of individual abilities in accordance with their interests, increasing students' interest in activities, i.e. in the construction of machines, engineering, cosmology, aircraft design, satellite ships. The direct dependence of the future professional career of mankind on its initial course at school is discussed. Conducting classes based on the interests and aptitudes of students is organized through an elective course. In this regard, making sure that the tasks of mechanics are necessary for mastering the specialty, the student expands and deepens his knowledge of physics. With the help of professionally-oriented tasks, students are required to take a creative approach to solving them, are forced to think actively, are taught to apply physical knowledge in professional activities, use mathematical tools in solving problems, and develop skills in working with literature.
Identification of STBC-OFDM Signals by Second-Order Cyclostationarity Method

Signal identification’s intrinsic application is in the military field, where the detection, analysis and identification of unknown signals from potentially hostile communication sources is a vital task in signal interception, radio surveillance, interference identification and mitigation, and electronic warfare. So signal identification has continued to be a major part of intelligent radios employed in military wireless communications up to present. With the deployment of the MIMO, new and challenging signal identification problems have emerged, which did not exist for single antenna systems. An example of identifying these types of signals is identifying the space-time block (STBC) code in the MIMO-OFDM system. MIMO-OFDM systems have different types, three of which are identified in this paper. These three types of systems include SM-OFDM, AL-OFDM, STC3-OFDM. Previously, these three types of systems were identified by the second-order moment of the signal method. In this paper, this identification is performed by the second-order rotating stationarity of the signal. This method can perform better in lower SNRs. In addition, the proposed method provides good performance with low sensitivity to time offset and channel conditions.
Quantitative Analysis of Fuzzy Roughness Measure based Segmentation of Magnetic Resonance Brain Images

Quantitative analysis of segmentation results in image processing using various quantitative indices enable to prove superiority of method proposed. Visualizing brain tumors and diagnosing brain diseases is an important application of magnetic resonance imaging (MRI). The brain disease study requires segmentation of brain tissue into nonoverlapping regions of cerebral brain tissues. The white matter (WM) volume estimation is an indicator for the diagnosis of Alzheimer’s diseases. Gray matter (GM) controls the sensory perception of human. Cerebrospinal fluid (CSF) provides the protection. Hence this segmentation is very important for neuro disease diagnosis purpose. But segmentation of these brain tissues faces problems due to intensity variation and noise. The fuzzy roughness-based thresholding method is proposed in this paper. The method detects the optimum thresholding level by exploiting the spatial relationship between the pixel intensities near the boundary of brain tissues. Method proposed in this paper partitions brain MR image into non-overlapping regions. Quantitative analysis of the segmentation result is important to prove the accuracy of the obtained results against ground truth. Hence, performance evaluation of the proposed method is quantified using Jaccard Similarity (JS), Dice coefficient (DC), and under, over and incorrect segmentation.