Reviewerly/exHarmony huggingface dataset:
The Study of Mooring Buoy Operability to Support Offloading Operation of Shuttle Tankers with Various Capacities

This study was conducted to analyse of the operability of mooring buoy initially designed for offloading operation of 35,000 DWT shuttle tankers enhanced to serve the offloading operations of shuttle tankers with 50,000 DWT, 75,000 DWT, and 111,000 DWT capacities. Operability is reviewed in term of mooring line tensions induced by each new variation of tanker capacity under environmental conditions of 1-year, 10-year, and 100-year recurrence. The governing criteria is that the safety factor should meet the appropriate limit as stated in the API RP2SK. Tension on the mooring line increases in parallel with the increasing of tanker capacity. For the case of 35,000 DWT and 50,000 DWT shuttle tankers the operation can be performed in all environmental conditions. For the case of 75,000 DWT shuttle tanker with full load and 67% DWT capacity can fully operate in all environmental conditions, but with 47% DWT capacity could not be operated in the 100-year environmental condition with significant wave height 3.31 m for the direction of inline-L1, inline-L2, and between line-L1&amp;L4. For the case of 111,000 DWT shuttle tanker at all capacity conditions can fully operate in the 1-year environmental condition with significant wave height up to 1.48 m.
Approaches To Phishing Attack Detection Using Natural Language Processing: A Survey

Phishing attack is a cyber-attack carried by a fraudulent attacker who impersonates to be a trustworthy person to defraud of the money or personal information of the user such as login credentials, ATM card details through some electronic channels such as email, text messages, voice calls etc. by luring the user to click on the link in the email. With the rise in technology, phishing attacks are also rapidly increasing these days. There are number of approaches that have been proposed to protect the systems from such unwanted phishing attacks. The aim of this paper is to survey various approaches for detection of phishing attack using natural language processing
Incident Classification, Prediction of Location and Casualties

Indian Army is always being troubled by the constant attacks of the militants and different terrorist organizations. Such encounters always cost us the lives of the soldiers who work for us with an immeasurable selfless attitude, many a times getting slaughtered in different regions of India. Such brainwashed mobs exploit the loopholes of the system, where the ground level officials don't have on-the-spot decision making authority. They use guns, hand grenades, Improvised Explosive Devices (IED) as weapons. Incidents of stone pelting, damage to property, fire incident, mob lynching, etc set the tone for an unrest society. Unfortunately to deal with the rage of such brainwashed minds, soldiers are the first line of defense and are put into a heated situation which leads to bloodshed. To avoid this, authors implemented a model which uses Artificial Intelligence, to predict the location of the next probable ‘Anti-National’ incident and the number of casualties in that incident. By using the principles of Timeseries Analysis, Auto Regressive Integrated Moving Average model in combination with Random Forest Regressor, authors predict the location of the next probable incident and the number of casualties in it. Using Beautiful Soup Library database is created by scraping the news from webpages. A Logistic Regression, is used to classify whether the following news is ‘Anti-National’ or not. The developed algorithm is used effectively to find i) the patterns in these attacks, ii) the factors which spark such incidents and help to take precautionary actions or completely avoid them. This model implementation can track down the activities and assist the Indian Army.
Uso de plataformas virtuales para desarrollar la lectura en inglés en los estudiantes del grado 1°a del colegio Monseñor Alfonso Uribe Jaramillo

This article has as its main objective to investigate about the importance of the use of virtual platforms to develop English reading skills. From reading skills as beginning to comprehend the readings. Also, it looks to analyze the concept of ICT in the education context. Finally, it looks to determine the influence of the use of ICT to strengthen reading skill in English. In this sense the topic of use of New Technologies in the education field has been consolidating in the last years, for this reason the school needs to use ICT, because it must change according to the circumstances of society to the development of communicative skills from the English practices context. The guiding question of this text is: How influence and important is the use of a virtual platform for students in the development of reading skill in English?
INFORMATION TECHNOLOGIES IN DISTANT EDUCATION AS A FACTOR OF SUBJECT ACTIVITY DEVELOPMENT

Work's purpose is an opening of information technologies role in distant education for development of subject activity. As a result of research the role of information technologies in distant education for development of subject activity is exposed. It is rotined psychological phenomenon of subject activity is determined as a measure of purposefulness display of individual acivity which is aimed at transformation of external (objective) or/and internal (subjective) reality. In a copula with forming of independence, criticism of perception, intention and abilities for permanent self-training, activity and initiativeness, information educational technologies are connected for condition forming, in which high-efficiency thought and subject activity are formed. Learner is perceived not as passive object of learning, but as an active subject which internalizes knowledge in the process of his/her activity, carries out subject activity, puts and achieves educational goals. Setting of learning aims of students from teacher's side is replaced by their own educational aims determination, construction of individual trajectories and rates of education, depending on own personality features, necessities, advantages and persuasions. Thus, information technologies become not instruments of teachers influence on students for translation of «prepared knowledges», but instruments of opening of their own subject activity, independent intellectual creation, thought. Distant learning and education, foremost in the context of virtual educational environments functioning, are factors of subject activity development of educational process participants. Among technologies assist this development, distant educational courses, internet trainings, webinars, video conferences, on-line discussions in the format of chats and groups in social networks etc. are especially selected.
DIAGNOSING VIRTUALIZED HADOOP PERFORMANCE FROM BENCHMARK RESULTS: AN EXPLORATORY STUDY

The importance of virtualization technologies in Hadoop is explored in this article. It looked at Hadoop as a new and common platform for businesses to use to improve business performance based on broad data sets. Hadoop gains from virtualization technologies in a variety of ways, including increased resource availability and cluster stability. Customers are also requesting virtual services including CPU, RAM, disks (etc.) from service companies (e.g. Amazon) and paying pay as you go.[1] These advantages, though, are meaningless to consumers if unreasonable output loss occurs when moving from a real to a virtual platform. According to existing research on virtualized Hadoop performance, inappropriate network and storage settings for open-source virtual implementation result in significant performance degradation. However, due to the complexities of hardware and applications, including virtualization setups and implementation scales, performance tuning remains an extremely difficult practice to implement [1]. To bridge the virtualized Hadoop implementation gap, this paper recommends a performance diagnostic approach that incorporates statistical research from several levels, as well as a heuristic performance diagnostic tool that tests the reliability and accuracy of virtualized Hadoop by tracking employee traces from common big data benchmarks. Users will easily detect the bottleneck using the insights given by this tool, validate the assessment using performance resources generated by the guest OS and hypervisor, and keep optimizing performance for virtualized Hadoop by running this tool several times. Virtualization systems, in general, are used by supervisors to maximize resource use while lowering operational costs. Virtualization systems are divided into two classes. The first is about heavy virtualization, which is focused on the principle of virtual machines (VM) [2]. Each virtual machine (VM) replicates hardware and runs its operating system (OS) that is entirely independent of the host OS. The next one is for light virtualization, which is focused on container management. Although maintaining isolation, the containers share the host OS kernel [2]. This paper looks at the efficiency of Hadoop software which utilizes virtualization technologies
Designing additional professional education programs for rural school leaders

The article deals with the design of additional professional education programs based on the identification of professional and personal difficulties of rural schools heads, the results of evaluation procedures. The traditional leading role of rural schools in the performance of educational, up-bringing, general cultural and social functions is determined. Various approaches to the problem of identifying professional deficits of heads of educational organizations located in rural areas are considered: regulatory and scientific. The article describes the study results of the identified difficulties in the organization of procedures for certification of managers, implementation of additional professional education programs. A number of features of the support organization for heads of rural and small schools are highlighted: continuity of organizational and methodological assistance; accessibility; variability, relevance and differentiation; advanced support; focus on reflection, the results of evaluation procedures, professional and personal deficits and needs. A system for identifying professional deficits and difficulties using designed tests, case studies, and the «Virtual School» system is described. The normative andscientific-methodological approach to the problem under study allowed us to determine the list of relevant significant professional and personal competencies, combined in the following blocks: «Personnel management», «Resource management», «Process management», «Results management», «Information management». The article considers the methodological basis for the formation of the assessment of professional and personal competencies and the continuous support of their development in the process of educational and professional activities, the system of additional professional education. As a result of the analysis of evaluation procedures, the obtained data are described in relation to individual educational organizations and managers, which allow providing targeted support and support in the regional system of additional professional education. The article raises the issue of building individual educational routes, choosing various forms of additional professional education: formal, non-formal and informal. The article describes the most relevant forms of additional professional education in relation to the heads of rural schools: seminars, webinars, mutual training, internships, mentoring, activities of informal educational groups, associations, laboratories of «Rural schools»
Research on the Balance of University Education Reform from the Perspective of Supply-side Reform

In order to maximize the benefits of the national economy's macro-distribution and redistribution of educational resources, it is necessary to solve the problem of the optimal and reasonable allocation in the education system. Whether it takes the form of urban and rural education regional community, compulsory education school district system, teacher community, and so on, it must be based on the distribution of high-quality resources. Educational resources are limited, and new resources cannot be wasted due to reintegration. Therefore, the government must implement macro-control, seriously conduct investigations and feasibility studies, and adopt relatively reasonable allocations to achieve a relatively balanced target for limited educational resources. The balance of educational resources is not only the core of China's higher education development, but also the key to the good development of each university in China. This article analyzes and studies the balance of higher educational resources in China from the perspective of supply side, from the extension of supply side reform in higher education, the analysis of the balance of higher educational resources, and the optimization of balance of higher education resources. Making in-depth research, this paper points out the problems in the balance reform of higher education resources in China from the supply side, and reasonably put forward the relevant approaches of equity in Education.
Effects of Different Normalization Techniques on the Convolutional Neural Network

Normalization is an essential part of the deep neural network. With the help of the normalization technique, the processing speed of the system becomes fast. But, if we choose wrong normalization technique, then we do not achieve best accuracy. For this purpose, we check the effects of the batch normalization, cross channel normalization, and dropout techniques on the Convolutional Neural Network (CNN). We used batch normalization technique with the help of never shuffle option, once shuffle option and every-epoch shuffle option. If we use the batch normalization technique with the never shuffle option's help, then we found 31% accuracy. With the help of the once shuffle option, we found 100% accuracy, and with the help of the every-epoch shuffle option, we found 94.67% accuracy. For cross-channel normalization technique, we found 100% accuracy. For dropout technique with the probability of 0.9, 51% accuracy was obtained. With the probability of 0.7, the accuracy was 97%, and for the probability less than 0.7, we found 100% accuracy. We checked all of these results with the use of the cipher-10 dataset on the VGG-16 neural network.
The Development of Instructional Design Using ASSURE Model in Mathematics for Elementary School to Improve Financial Literacy

Financial literacy is a series of processes to improve knowledge, behavior, and skills in understanding and managing finances for themselves and society. The goals of this research were: 1). Developing an instructional design model, Lesson Plan ( RPP ), teaching materials and teacher’s book, 2). Testing the validity and the feasibility of the mathematics instructional design products to improve financial literacy from the aspect of validity and feasibility, and 3). Testing the effectiveness of mathematics instructional design model to improve the learners’ financial literacy. The method used in this research was Research and Development. The techniques of collecting the data were observations, questionnaires and tests. The research design to test the effectiveness of the product was pretest-posttest control group design. The results of the research showed that 1). Instructional design using ASSURE model was developed according to the necessity. 2). The developed instructional design using ASSURE model was effective to improve the learners’ financial literacy. The result of t test obtained t count = 3,717 and p-value = 0,000 < 0,05, which means that there was significant difference between the experimental class and control class. The model's ability to improve financial literacy was classified as moderate (n-gain = 0.37). 3). The product’s feasibility was 4.9 in the category of very good and very valid. This research contributes a developed of instructional design model in mathematics for elementary school to improve financial literacy.
IMPROVING STUDENTS' READING SKILL THROUGH KWL (KNOW-WANT-LEARNED) STRATEGY AT SMP NEGERI 10 BANDA ACEH

This research was conducted to find out whether the use of Know-Want- Learning (KWL) strategy improve students’ reading skill in term of vocabulary (noun, verb, adverb, pronoun, adjective), and finding main idea at the eight grade students of SMPN 10 Banda Aceh. This research employed quantitative method in nature. Pre-experimental with pre and posttest design was used. The pretest and posttest were used to elicit require data. The questionnaire was also used to complement the data. The samples of this research consist of 30 students. The researcher used t-score formula by Sudjana (2003, p. 21) and SPSS type 23 to measure the data. The result showed that students’ post-test mean score (71.45) is much higher than the pre-test (62.67) of students’ scores. The result of questionnaire showed that students’ perspective are interested and motivated by using K-W-L strategy. Moreover, there are three skills that improve students in reading especially vocabulary, main idea and comprehension. In conclusion, Know-Want-Learned Strategy improves the students’ reading skill, and students responded positively toward the implementation of Know-Want-Learned in class. Therefore, it was suggested that this strategy can be one of the alternative strategies to be applied by teachers to improve students’ reading comprehension. Keyword: Reading skill, Know-Want-Learned Strategy, Vocabulary, Main idea, comprehension
Claude Gaulin (1938 – 2020), un grande de la Educación Matemática

espanolLa figura y la obra del profesor Claude Gaulin son dificiles de resumir porque, ademas de dilatada en el tiempo, hizo un extraordinario trabajo en torno a su area de conocimiento: la Educacion Matematica. Muchos profesores y profesoras de ambos lados del Atlantico fueron tutelados por el para hacer su tesis doctoral, lo que significo, entre otras cosas, que sus teorias y estrategias se extendieran y conocieran por muchos lugares. En Canarias tuvimos el privilegio de que asistiera en varias ocasiones a nuestras Jornadas con lo que eso supuso de orientacion y de conocimientos en una etapa en la que empezaba la andadura de la Sociedad Isaac Newton. Explico el juego llamado Structuro, que conoci gracias a el. Finalmente, anado algunas imagenes de sus visitas. EnglishThe character and the work of Professor Claude Gaulin are difficult to summarize because, long over time, he did an extraordinary job around his area of knowledge: Mathematics Education. Many professors from both sides of the Atlantic were mentored by him to develop their PhD, which meant, among other things, that his theories and strategies spread and became known in many places. In the Canary Islands, we had the privilege that he attended to our Conference on several occasions that meant a guidance and knowledge at the beginning of Isaac Newton’s Society. I will explain the game called Structuro, which I learned from him. Finally, I add some photos from his visits.
Improved Trust Model to Enhance Availability in Private Cloud

In the process of cloud service selection, it is difficult for users to choose trusted, available, and reliable cloud services.A trust model is a perfect solution for this service selection problem.In cloud computing, data availability and reliability have always been major concerns.According to research, around $285 million is lost per year due to cloud service failures, with a 99.91 percent availability rate.Replication has long been used to improve the data availability of large-scale cloud storage systems where errors are anticipated.As compared to a small-scale environment, where each data node can have different capabilities and can only accept a limited number of requests, replica placement in cloud storage systems becomes more complicated.As a result, deciding where to keep replicas in the system to meet the availability criteria is an issue.To address above issue this paper proposes a trust model which helps in selecting appropriate node for replica placement.This trust model generates comprehensive trust value of the data center node based on dynamic trust value combined with QoS parameters.Simulation experiments show that the model can reflect the dynamic change of data center node subject trust, enhance the predictability of node selection, and effectively decreases the failure rate of node.
PRINCIPLE OF BEAUTY IN SCIENTIFIC KNOWLEDGE: SOCIOCULTURAL VERSION OF THE GNOSEOLOGICAL APPROACH

The article addresses the problem of the genesis of the beauty principle in scientific cognition from the standpoint of the gnoseological approach supplemented by some conceptual generalizations from the fields of social epistemology and sociology of thinking. The relevance of this approach is due to the critical attitude to gnoseology as a general theory and methodology of science on the part of non-classical epistemology, the history of science and scientific theories of the middle range. An external factor that actualizes the current internal scientific situation is the prolongation of integration processes typical for postmodern culture associated with the search for points of contact between science and art. The article shows that despite the addition of the principle of beauty to the heuristic tools of modern exemplary science, there is an unresolved problem of the genetic relationship between aesthetics and science. This connection was best demonstrated in detail by the example of the similarity and difference between mathematics and music initiated in antique culture and reflecting the love of symmetry and harmony inherent in the Greek worldview. On the other hand, the differences in the perception of works of science and art which are obvious to ordinary consciousness required ancient thinkers to introduce concepts and principles that synthesize different aspects of the manifestations of the useful, true, and beautiful. In this connection, the binary mythopoetic cosmos-chaos opposition, which is found in its direct form in archaic and natural-philosophical cosmologies, is proposed as the historically first form that integrates the complex and contradictory content of the beauty principle. The results of the study lead to the conclusion that only natural philosophical models of the cosmos make a fundamental distinction between the “chaos” of opinions about phenomena and the “cosmos” of the true knowledge about their speculative entities. It is this worldview scheme of a single, conceptually ordered, and therefore truly beautiful world that served as an ideal model for classical European science.