Reviewerly/exHarmony huggingface dataset:
Reducing Energy and Carbon Cost of Cloud Data Centers through Optimal Virtual Machine Placement algorithms and an Automatic Servers Scale Controller Model

Nowadays, one of the most significant challenges in cloud computing is the massive amount of costs that are being paid by cloud service providers for energy consumption and carbon tax. Accordingly, many efforts, such as increasing the utilization of servers, have been done by cloud providers to reduce these costs. However, many studies have focused only on the reduction of energy consumption on a single data center. Nevertheless, in recent years, there have been introduced lots of novel models that their final goal is to minimize the energy and carbon costs of a cloud provider through geographically distributed cloud data centers. However, one of the most significant defects visible in many models is about keeping up all data centers’ servers in the ready state even when they are in the idle state. In this work, we intend to extend an optimal virtual placement machine (VM) placement algorithm via a useful and straightforward model based on an automated server scale controller mechanism and overall CPU utilization of data centers. Finally, we simulated our proposed model with the CloudSimPlus simulator. The results indicate that our model could significantly reduce the energy and carbon costs compared with the previous models.
Information Technology on Economic Growth and Stability

This research aims to analyze how the role of information technology on economic growth and stability. Information technology at this time can be an important indicator of economic growth and stability. It is hoped that with information technology, a country can increase the production of goods and services. This research used descriptive qualitative in nature and with a literature review. The sample in this study is the growth and stability that occurs in various countries, especially Indonesia. This research discusses how information technology helps in increasing growth and stability in a country. The results of this study indicate that information technology is very influential on economic growth and stability. The role of information technology has the most influence on economic growth is to increase the effectiveness of resource allocation in organizations by 85.2%. and 77.8% of the response to information technology can increase the amount of investment in a company. The use of information technology will also speed up the production process by reducing the time needed to sort components and raw materials while reducing the potential for errors. it can be concluded that information technology is very influential in the economic growth rate of 96.3% respondents
COMPONENT-STRUKTURAL ANALYSIS OF THE PHENOMENON «FORMATION OF THE ARTISTIC AND CREATIVE EXPERIENCE OF FUTURE TEACHERS OF CHOREOGRAPXIC ART»

Actualization of the formation of the artistic and creative experience of future teachers of choreography is considered in the context of all-in-one professional training of students as a purposeful process of inclusion of future teachers in creative, artistic-educational and choreographic-performing activities, integrated formation of personality. The acquired experience promotes successful adaptation to social changes in the process of professional training of students-choreographers and gives confidence in the professional activity nowadays. Ways of forming a creative, active and originative personality that is able to make a choice alone, realize set goals, evaluate her activity consciously- these are those priorities that determine the conceptual positions of modern art education. A modern specialist of choreography is one that at the appropriate level has professional mastery in performing her professional activities, as well as has a certain set of knowledge, skills and abilities using them effectively in practice. Knowledge in the field of art and pedagogy is important for the future teacher of choreographic art. The artist must have a desire to create, and therefore, be able to perceive the beautiful, appreciate it, form her own view on the reality of the beauty of the environment and art, evaluate the results of her own work adequately for further self-realization in the field of choreographic art. Thearticle highlights the key components of the formation of the artistic and creative experience of future teachers of choreography in the process of professional training with the aim of further development of the content of criteria and indicators, as well as necessary for its formation methodological foundations due to the creative being of choreographic art.
Effects of Flipped Learning with a Team Project in Nursing Undergraduates

This study was conducted to investigate the effects of the teacher-centered class (TCC) and flipped-learning class with online team project-based learning (TPBL-FLC) in the Practice of Health Assessment (PHA) class on academic self-efficacy, critical thinking disposition, and problem-solving ability in nursing undergraduates. The subjects in this study were 28 nursing students in Year 2 at a university, and a single-group crossover design was applied, with the students receiving the TCC, followed by the washout period during the mid-term, and the TPBL-FLC. Data were collected before each treatment, while the collected data were analyzed using the SPSS WIN 23.0. The results showed that compared to TCC, a significantly higher level of problem-solving ability (t=-2.39, p=.024) was found after TPBL-FLC. A significantly higher score was found after TPBL-FLC in self-controlled efficacy in academic self-efficacy (t=-2.28, p=.031) and systematicity in critical thinking disposition (t=-3.52, p=.002). Based on these research results, it is proposed to appropriately apply TPBL-FLC, a key aspect of nursing competency, to face-to-face and non-face-to-face classes.
Cloud Security Challenges and Issues

AbstractCloud Computing is scalability and flexibility in cloud services and less cost provided to the cloud users bycloud providers. Nowadays cloud computing is the most important technology to provide the services tothe cloud user’s at anywhere and anytime. Cloud providers provide the services to users through theinternet. It is an interesting technology to offer the resources to cloud users. Cloud computing is ondemand services which are accessible to computer resources and data storage through the internetwithout interaction by the user. Security has become the main hurdle to deployment of cloud computingso cloud security is very important today because there are many users used to cloud computing to storethe personal data and the transition to the cloud and robust cloud security is compulsory throughapplying the security algorithm. Cloud users have to save their data and transition data and duringupload the data on the cloud server but users cannot trust the cloud (user not sure about data security)due to lack of security. Data storage on cloud servers sends an unbelievable amount of circumstancesfrom different communities. When securing the data on the cloud there is a need for a third party.Importance of third parties to avert and control unauthorized access and store the data on cloud. Thisstudy is dependent on all levels of services and deployment models. In this research paper discuss aboutthe cloud security challenges, issues and also explain One Time Password Authentication process.
STORM+: Fully Adaptive SGD with Momentum for Nonconvex Optimization

In this work we investigate stochastic non-convex optimization problems where the objective is an expectation over smooth loss functions, and the goal is to find an approximate stationary point. The most popular approach to handling such problems is variance reduction techniques, which are also known to obtain tight convergence rates, matching the lower bounds in this case. Nevertheless, these techniques require a careful maintenance of anchor points in conjunction with appropriately selected mega-batchsizes. This leads to a challenging hyperparameter tuning problem, that weakens their practicality. Recently, [Cutkosky and Orabona, 2019] have shown that one can employ recursive momentum in order to avoid the use of anchor points and large batchsizes, and still obtain the optimal rate for this setting. Yet, their method called STORM crucially relies on the knowledge of the smoothness, as well a bound on the gradient norms. In this work we propose STORM+, a new method that is completely parameter-free, does not require large batch-sizes, and obtains the optimal $O(1/T^{1/3})$ rate for finding an approximate stationary point. Our work builds on the STORM algorithm, in conjunction with a novel approach to adaptively set the learning rate and momentum parameters.
FORMATION OF STUDENTS' CREATIVE THINKING SKILLS IN TEACHING PEDAGOGICAL DISCIPLINES

In this research paper important to developed an integral system for the formation of creative thinking of future teachers in the process of teaching them pedagogical disciplines and guidelines on the organization of work with the execution of tasks, aimed at developing students' creativity. Educational institutions are now faced with fundamentally new tasks aimed at developing students' systems thinking, creative activity and independence. In institutions of secondary vocational education, in the training of a specialist, the main thing is not the assimilation of ready-made knowledge, but the development of graduates' abilities to master the methods of cognition, which make it possible to independently obtain knowledge, creatively use it on the basis of known or created methods of activity.
A arte da bibliografia: da atividade ao seu objeto

In France the bibliography is considered as a technique that elaborates descriptions of texts. A return proposed here, in an infocommunication approach, on this activity and on the object that it produces makes it possible to analyze its documentary inclusion and to specify its stakes. Its mediating role is thus highlighted.
PERANCANGAN SISTEM MANAJAMEN INSIDEN KEAMANAN INFORMASI BERDASARKAN SNI ISO/IEC 27035 DI INSTANSI PEMERINTAH

The government services of information technology are required to always run optimally. On the other hand, many information services are still faced with security incidents. In terms of human resources, technology, policy, and procedural aspects, the focus problem has not been on security incidents of information. Therefore, we need information security incident management system as one of the system solutions that must be provided to ensure the sustainability of information services and IT systems. The purpose of this research is able to provide security information of incidents having a management system that was adopted and developed based on ISO/IEC 27035 standardization. The research methodology was carried out by using qualitative methods with case studies. The preparation of the document refers to the results of the assessment approach between the current conditions of business processes and the incident management of information security. It has been carried out with the clauses required by ISO/ IEC 27035. The results of this study are policy documents and procedures for the incident management systems of information security specifically designed as a reference standard in government. Finally, the use of structured policies and procedures can improve performance in handling incidents faced by the government.
Friedman Frobenius Distributed Recommender Using Multi-Agent For Social Networks

A social network has been a notable mechanism owing to the wide and convenient information stored in it. The social network is spread across many areas, it has become a  storehouse of millions of different applications like health oriented surveys, marketing service preferences and many more. Social network recommender model make use of this information and administer users in hand picking their possibilities via multi-agent platform. It is logical that a recommender models must be well organized to be adequately handle the enormous extent of data that has been originated in current years by social network users. In this work we propose an adaptable recommender system which will be able to process big data in a time efficient manner. To be apt to assess these models software agent-based framework is developed. This framework consist of three modules that is tweet collection agent, data mining agent and distributed recommender agent that utilize statistical test and Frobenius Matrix Collaborative Recommender algorithms. Extensive experiments on Sentiment140 dataset are conducted and the results are evaluated against the existing recommendation models. After the experiment the result shows that the proposed F-FMCR method achieves better performance compared to other methods, in recommendation accuracy, recommendation time and mean absolute error.
Design of Insurance Product Recommendation Model based on Bigdata and Artificial Intelligence

AbstractPast research into insurance businesses is limited to current status. There is a lot to be desired aboutactively developing and sharing analytical models using Bigdata. The purpose of this study is to developa model that recommends collateral and subscription amounts at the customer group level. First, weclustered our customers into a group of customers of similar economic size. We compared the collateraland subscription amount of the products customers in the cluster. This allowed the recommendation ofcollateral and subscription amounts to the level of customers in the same cluster. Customer mappingswere mapped to clusters closest to the customer’s cluster variables using the R Package ‘Kohonen’.Through this research model with SOM-based Two Step Clustering and Collaborative Filtering, insurancecompanies can provide opportunities to internalize their analysis. In addition, it will be possible to improvethe effectiveness of life insurance and ICT executives’ work, and to support higher-level decisions using AITech.
Effectiveness of Augmented Reality on Consumer Shopping Experience with Reference to Eyewear

Smart glasses are demonstrated to be one among the advanced figuring gadgets that join the people and machines with the assistance of Innovation and communication Technology(ICT).As of late, it's seen that smart glasses have been used in the clinical and gaming applications.Be that as it may, the highlights of smart glasses can contribute its services in different fields as well. Right now, study is done to investigateto explore the effectiveness of augmented reality on consumer shopping experience with reference to eyewear. Advancements made in the field of technology are applied to businesses to increase sales for brand building, so by enhancing human perception of reality with this application through contextualization of individual objects that we come across in the real world with their virtual matches so on to make the real objects more engaging and appealing.The most common application of AR is a virtual changing room - e-businesses showing their items by means of portable/web cameras as a 3D projection on an individual.This paper centers around the impact of augmented reality on the shopping experienceof the customers, the outlooks(attitude) of buyers towards Augmented Reality in relation to purchase of eyewear products and services.In the examination, most highlights were seen as in favour, with the prerequisites for shopping eyewear products. The results show that AR provides customer engagement by resulting in favourable shopping experience compared to the traditional shopping.
The use of pedagogical W-technology for the formation of the research potential of students

Substantiated is the expediency of using universal pedagogical W-technology to form the research potential of the students, by taking into account the conceptual ideas of culture-centricity in education. The approaches to the development of technology are argued as a systemic combination of all parts of the proposed author’s model, which, with a sufficient degree, made it possible to take into account the identified factors, structural blocks and their influence at different pedagogical levels. The constructive need for its use as a pedagogical toolkit in the process of student research has been updated.
Reproducibility as a Tool of Cognition (Epistemological Analysis)

One of the most advanced areas of modern science is polydisciplinary research, which is based on experimental practices with special technical parameters. From the point of view of the philosophy of science, their specificity is directly related to the problem of results’ reproducibility because the cooperating discip­lines have different levels of sensitivity to technical details and side effects. Moreover, the details and accuracy of the actual reproducibility are discussed in various languages. Epistemologists focus on, first of all, the question of whether it is possible to replicate (i.e., absolutely exact repetition) the experiment results in a polydisciplinary space. And if not, then what is considered essential in the process of such experimentation with a particular subject field, and what is sec­ondary, what treat as a background, and what is a reproducibility result? In addi­tion, the methodological understanding of the reproducibility acquires unique heuristic significance in connection with the analysis of “deviations” arising from its replication. This means that the actual repetition of an experiment can be considered a normative criterion for its results’ scientific status and as a cog­nitive tool that opens up new research prospects. As a tool for expanding re­search horizons, the requirement of reproducibility in polydisciplinary experi­mental practices is at the center of attention of modern philosophical and methodological reflection on science.
Exploiting Visual Content of Book Front Cover to Aggrandize the Content Based Book Recommendation System

In modern e-commerce world Recommendation Systems are playing a key role in supporting customers to take a decision. With this kind of services customers can choose comfortably the products as per their preferences from a long list of available products. It’s not only a boon for the customers; it will boost the sales for the organization and generate better revenues. Due to diverse domain characteristics, each domain requires different kinds of recommendation models. Content based recommendation model is one of the recommendation models which purely rely on product features and the current user preferences. This model is more effective for the domains like news, micro-blogs, books, movie plots and scientific papers etc. In this paper we propose a content-based filtering model for book recommender system by utilizing its overall textual features as well as visual features of its front cover. Numerous surveys have demonstrated that book readers are highly inclined to its covers that are visually attractive1. Book front cover is the first representative candidate of the book that will reveal the overall sense of the book; hence we considered book front cover as one of the book contents along with the text. Our experiment shows that augmenting the visual features to the existing content-based recommender models performed well.
Assessment of metals content of widely used traditional toothbrushes in Addis Ababa, Ethiopia

ABSTRACT. Traditional toothbrushes are used by the vast majority of people who cannot afford to buy the commercial toothbrush and toothpaste. The traditional toothbrushes are generally obtained from any slim woody part of a toothbrush tree. The main purpose of this study was to determine selected metals (Ca, Fe, Mg, Al, Cu, Cr, Ni, Zn, Mn, Pb, and Cd) in traditional toothbrushes obtained from three plants including Ligustrum vulgare L., Phoenix reclinata and Olea africana, which are extensively used in Addis Ababa, Ethiopia, by using microwave plasma-atomic emission spectroscopy (MP-AES) after wet digestion. Recoveries of the metals in spiked samples varied from 90.4–107%. The overall mean concentrations determined (mg/kg, dry weight) were in the ranges of Ca (4267–36514) &gt; Fe (131–318) &gt; Al (81.6 –224) &gt; Mg (45.6–122) &gt; Zn (27.2–175) &gt; Mn (20.1–29) &gt; Cu (6.6–20.3) &gt; Cr (6.7–8.9) &gt; Ni (2.6–7.9). Analysis of variance at 95% indicated significant differences in the metals’ contents of three toothbrushes. The results indicated that the selected traditional toothbrushes are good sources of essential metals and free from Pb and Cd. Therefore, the investigated Ethiopian traditional toothbrushes are found to be safe for human use.&#x0D; &#x0D; KEY WORDS: Metal contents, Traditional toothbrushes, Wild privet (Ligustrum vulgare), Wild date palm (Phoenix reclinata), African wild olive (Olea africana), Ethiopia&#x0D; &#x0D; Bull. Chem. Soc. Ethiop. 2021, 35(2), 257-272.&#x0D; DOI: https://dx.doi.org/10.4314/bcse.v35i2.4
Pemaksimalan Media Pembelajaran Untuk Pembelajaran Daring Pada SDN 9 Dauh Puri Denpasar Bali

The world of education underwent major changes in 2020 due to the Covid-19 pandemic. The most visible impact of changes in the world of education in the midst of the Covid-19 pandemic is the effectiveness of the teaching and learning process that has turned online. One of the elementary schools that experienced these changes was SD N 9 Dauh Puri, North Denpasar. Online learning is currently being carried out at SD N 9 Dauh puri using WhatsApp and Google classroom media. However, in practice, teachers still use personal accounts in the use of online learning media, so the features of these learning media cannot be utilized optimally. In addition, the teachers also do not understand optimally in the use of these learning media. Based on these problems, through this service activity, assistance is provided in creating an account with a free domain provided by the government (.sch) as well as the school website. Other activities include training on the use of Google Forms as a medium for collecting assignments and evaluating learning. The implementation method of service activities consists of socializing activities, planning, implementing, and evaluating. The outputs of community service activities have met the achievement indicators, namely all teachers (100%) already have an email account with a domain (sch.id) owned by the school and the school already has a website installed on the http://www.sdn9dauhpuri.sch page. id/. The results of the assessment from partners, 74% stated that community service activities were satisfactory.
PENERAPAN METODE PEMBELAJARAN SURVEY, QUESTION, READ, RECITE, REVIEW (SQ3R) UNTUK MENINGKATKAN KETERAMPILAN MEMBACA PEMAHAMAN

The purpose of this research are: to describe the results of the application of the Survey, Question, Read, Recite, Review (SQ3R) method which can improve reading comprehension skills in third grade students of SD Negeri 1 Cangkreplor for the 2020/2021 school year. This type of research is classroom action research (CAR) which is carried out in two cycles. Each cycle consists of four stages, namely planning, implementing actions, observing, and reflecting. The subjects of this study were the third grade students of SD Negeri 1 Cangkreplor, totaling 28 students. Data collection techniques using test, interview, observation and documentation techniques. Inter-cycle reading comprehension skills increased from the initial condition (pre-cycle) which was 35.7% to 53.6% in the first cycle and then to 89.3% in the second cycle.The conclusion of this study is that the application of the SQ3R learning method can increase the value of reading comprehension skills in third grade students of SD Negeri 1 Cangkreplor Purworejo 2020/2021.&#x0D; Keywords: SQ3R ; Reading Comprehension Skills.