Reviewerly/exHarmony huggingface dataset:
Muon g-2 explanation in a modular $A_4$ symmetry

We construct a model to explain the muon anomalous magnetic moment, without considering any lepton flavor violations, in the modular $A_4$ symmetry. We have investigated a predictive radiative seesaw model including dark matter candidate at favorable fixed point of $\tau=\omega$ obtained by recent analysis of the stabilized moduli values from the possible configurations of the flux compactifications. In the result, we show our predictions on the Dirac CP and Majorana phases, the neutrino masses, the mass range of dark matter as well as the muon anomalous magnetic moment through the $\chi^2$ analysis.
ВПЛИВ ІНТЕРНЕТ-СПРЯМОВАНОСТІ ОСОБИСТОСТІ В ПРОЦЕСІ РОЗУМІННЯ ТЕКСТІВ ІНТЕРНЕТУ

The article presents the results of an empirical study of the influence of the personal Internet orientation (personality changes on the Internet, typical behavior in cyberspace) on the Internet texts understanding. The author distinguish three types of personal Internet orientation depending on the motivation and creativity of user behavior on the Internet. As a result of empirical research involving 716 respondents from different regions of Ukraine, it was determined that the high level of personal Internet orientation facilitates to the reception and accuracy of recipients’ expectations, more consistent attitude to the verbal environment of the Web, the quality and completeness of the Internet texts interpretation improve insignificantly with the evolution of Internet orientation. And the adequacy of the mark of the Internet texts complexity even decreases.
Development of an innovation manager’s competency model

In modern conditions, an important scientific and practical task of ensuring the innovative economy development is building a model as competencies of the innovation manager. Determination of future competency needs enables the higher education system to carry out thoughtful adaptation of the professional training process for innovative staff and increase the competitiveness of educational programs. The article discusses the competencies of the manager’s profession – working at the average managerial level and engaged in innovation activity, which includes: assessing the commercial potential of innovation; operational planning and organization of work on innovation management; management of all stages in the innovation project; work with partners in the innovation market; monitoring the implementation of measures to promote innovation on the market, etc. An approach to the formation of a model of competencies of the manager of innovation in the form of an ordered list of five groups: professional, functional, digital, sociocultural and cognitive competencies are proposed. The research results will be aimed at improving and updating two educational programs of ENU named after L.N. Gumilyov “Innovation Management” and “Management” at three levels: undergraduate, graduate and PhD. The developed model of innovation activity manager competencies will be the basis for further research, namely: when assessing the formedness level of competencies among students and graduates; when developing training program and developing the competencies of innovation managers as part of the continuing education concept.
Meta Science and Technology Research Project: Comprehensive Research on Method, Ethics and Policy

Professor Tsuyoshi Matsuda is part of a team, based within the Organisation for Advanced and Integrated Research at Kobe University in Japan, which is researching methods, ethics and policies. The study emphasises the methods of inquiry and normals of value, as well as the political and economic factors that define modern science and technology. By combining the various methodologies that scientists use in their search and justification of 'scientific truth' that form the basis of science and technology research with ethical and legal issues, the team is hopeful that it will be possible to incorporate the research results into the curriculum of common education for graduate schools and faculties in the future.
VISUAL 3D PLANOGRAM MEMPERMUDAH PEMASANGAN MATERIAL PROMOSI HANDPHONE

Smartphone retail sales in Indonesia are currently growing very rapidly. Point of Sales Material (POSM) is used to provide information about products to consumers, using displays to stimulate impulsive buying behavior. This study designed a 3D planogram visual media, which can visualize real-time with text, images, and videos. Media that has been developed by researchers is in the very good category with a percentage of 78% for the promoter segment that is more than 1 year and 77% for the new promoter segment who has worked at Samsung retail for less than 1 year. From the results of experalidation and user validation, for the aspect of video visualization and the 3D planogram module that has been developed, the category average AB score is 81-85. The display arrangement process can be done more quickly and precisely because the understanding of the planogram increases.
증거기반 정책결정과 재정정보의 생산, 배포, 활용

(Purpose) In recent years, the use of big data has spread beyond the private sector to government. As a result, evidence-based policy making is frequently cited. However, the fiscal information used as evidence in policy making focuses on use while largely ignoring the importance of its creation. The use of information is important in evidence-based policy making, but the creation of fiscal information with consistent security protocols is infinitely more important. This context represents the fundamental perspective of this study.(Design/Approach) This study argues that the creation of information with guaranteed integrity is paramount, and that the use of such information should follow as the next priority. The premise of using secure information, which is the raw data of policy making, should be to produce data that guarantees accuracy and consistency, and yet governments largely ignore the importance of informational integrity. In order to overcome these limitations, policy models are used to explore alternatives such as priorities.(Findings and Research Implications) Those factors that will be considered in the creation of secure fiscal information produced with integrity are as follows. First, legislative measures are needed to guide evidence-based policy making. Second, reliable information should automatically be produced when the financial management information system is properly reorganized. Additionally, time-series scaling of the information is necessary. Third, there is an urgent need to change the perception of information creation. Fourth, the roles of the auditor and the Ministry of Economy and Finance (MOEF) should be strengthened. The role of a Board of Audit and Inspection (BAI), such as the GAO in the United States, is needed, and it is also necessary to consider the establishment of an ‘IT dashboard’ to systematically manage the fragmented financial management information system and regulate various matters, such as system construction and reorganization.
PERANAN EDMODO SEBAGAI ALTERNATIF DALAM PEMBELAJARAN DARING

This study aims to find out the influence of learning media of E-Learning based on Edmodo toward learning outcomes of biology students at the Muhammadiyah University of Makassar. This type of research was quasi-experimental with a pretest-posttest control group design. The population of this research was all students of fourth-semester where 45 students selected as the sample. The sample consisted of 22 students in experimental group and 23 students in control group. The result showed that the Sig value was smaller than the level of significance (α). The hypothesis testing with t-test (independent-sample t-test) obtained a sig value was 0.006 with a significance level (α) was 0.0. It appears that there is an effect of E-Learning based on Edmodo toward student's learning outcomes of biology education at the University of Muhammadiyah Makassar.
Aplikasi Machine Vision pada Hexacopter untuk Deteksi Survival Kits di Bidang Mitigasi Bencana

Hexacopter belongs to one of flying robots that is used to carry out a special mission such as retrieving and delivering survival kits object. Thus, it should be built by smart system to determine the object accurately. However, there was an interference from other object that made it difficult to recognize the survival kits object. Therefore, the development of machine vision with the integration of the hexacopter control system is expected to improve the object recognition process. This study intends to develop a survival kit detection using the image processing method, which involved 1) segmentation on the Hue, Saturation, Value (HSV) color space, 2) contour detection, and 3) Region of Interest (ROI) selected detection. The evaluation of the segmentation method performances was done through the three-part experiments (i.e., the similar shape, variety of a color object, and an object shape). The result of survival kits object detection evaluation obtained an accuracy of 90.33%, precision of 99.63%, and recall of 91.24%. According to the performances obtained in this study, the development of machine vision systems on Unmanned Aerial Vehicle (UAV) has a high accuracy for the object survival kits detection even with another object interference.
THE ROLE OF AGILE SOFTWARE ARCHITECT IN THE AGE OF DIGITAL DISRUPTION AND TRANSFORMATION

The consequence of the increasing development and use of digital technologies, in every segment of society, is the emergence of digital disruption - a powerful external pressure that is changing the way business is done in all industries. Businesses are responding to digital disruption by digital transformation, which involves organizational change, redefining and aligning digital and business strategies, new business models, increased agility of software development and delivery processes, migration and/or integration of legacy systems using cloud-based platforms and ecosystems. In such a context, one of the key responsibilities of a software architect is to maintain the agility of the organization by defending the flexibility of digital strategy and IT resources so that the enterprise is able to transform and respond adequately and rapidly to the effects of digital disruption. In this regard, the question arises as to how digital disruption and business transformation affect the change in the role, importance, competence and agility of a software architect, especially in the context of the development of complex business software systems. This paper aims to present the role of an agile software architect in the era of digital disruption and transformation, by integrating the results of theoretical and empirical research. A systematic literature review identifies the role, importance, and competencies of a software architect in implementing agile architecture. In other hand, empirical research, based on a case study in a large enterprise, provides a better understanding of the importance of software architect for aligning business and digital strategy, as well as its contribution to increasing the agility of the process of developing, delivering and integrating complex business software systems.
OP611 Breast Cancer Classification In Histopathological Images Using Artificial Intelligence Assisted Diagnosis Technology: A Meta-Analysis

Introduction Artificial Intelligence (AI) is an important product of the rapid development of computer technology today. It has a far-reaching impact on the development of medical diagnostic technology especially in combination with medical imaging. The aim of this study was to analyze the diagnostic accuracy of AI-assisted diagnosis technology for classification of breast cancer in histopathological images. Methods A meta-analysis was conducted of published research articles on diagnostic accuracy of AI-assisted diagnosis technology for breast cancer classification between January 2010 and September 2019 in the databases of PubMed, EMBASE, Cochrane Library, China National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform and China Bio-medicine Database. Statistical analysis was performed with software Meta-Disc 1.4 and Stata 12.0, and the summary receiver operating characteristic (SROC) curve was drawn to evaluate accuracy of the method. Results A total of 18 studies with 13,573 breast histopathological images were considered for the analysis. The pooled sensitivity, specificity, diagnostic odds ratio and the area under the curve of the SROC for AI-assisted diagnosis technology for classification of breast cancer respectively, were 0.94 (95% confidence interval [CI]: 0.93–0.85), 0.84 (95% CI: 0.93–0.94), 255.47 (95% CI: 168.33–387.73) and 0.98 (95%CI: 0.96–0.99). Conclusions Several limitations should be considered when interpreting the findings of this meta-analysis. First, despite the extensive literature search, the number of included studies was small; however, the number of images enrolled was satisfactory, thereby decreasing type II error. Second, data acquisition is not comprehensive enough because the language of literature search was limited to Chinese and English. Furthermore, the heterogeneity caused due to different sources of data affected the study results. Despite these limitations, our study suggests AI-assisted diagnosis technology for breast cancer classification in histopathological images is a highly accurate and reliable diagnostic method for clinical application.
FORMATION OF READINESS FOR PROFESSIONAL ACTIVITY OF FOREIGN STUDENTS - FUTURE AVIATION ENGINEERS

The article reveals the urgency of solving the problem of forming the readiness for professional activity of foreign students-future engineers of the aviation industry in the process of their professional training. The views of modern domestic and foreign scientists on the professional training of engineering personnel in institutions of higher technical education, including aviation specialties, and current issues of training foreign students are analyzed. There are a number of contradictions faced by foreign students who come to an unfamiliar country to obtain their chosen specialty. The importance of pedagogical support during the adaptation period of foreign students is emphasized. The basic requirements and responsibilities of aircraft maintenance engineers according to the Handbook of Qualification Characteristics of Workers' Professions (Issue 68 "Air Transport") are analyzed. It was found that the readiness for professional activity of foreign students-future engineers of the aviation industry is a dynamic system of interconnected external and internal personality factors that interact in conjunction with the knowledge, skills and abilities acquired during professional training. activities. It is emphasized that the formation of readiness for professional activity of foreign students-future engineers of the aviation industry will be effective provided the creation of an appropriate educational and information environment and the construction of a personal learning trajectory
ANALISIS PENGGUNAAN APLIKASI RANCANG BANGUN SYSTEM BILLING DALAM MENINGKATKAN KUALITAS LAYANAN PELANGGAN ( Studi Kasus pada Perusahaan Daerah Air Minum Kabupaten Lamongan)

Improving the quality of customer service is the company's strategy in marketing to satisfy customers. The rapid development of technology, especially information systems, is increasingly being used to facilitate the performance of a company. Perusahaan Daerah Air Minum (PDAM) Lamongan as a Regional Owned Enterprise (BUMD) which is engaged in the supply of drinking water has been using the Foxpro application to manage data related to customers. In online account payments, PDAM Lamongan Regency collaborates with PT. Magna Karsa Mulya (MKM). Because the application still uses Foxpro, PT. MKM facilitates a billing system supporting application called backoffice. Therefore it is necessary to create a new system that can integrate the two databases. This system is designed using object modeling methodology (object modeling), which is a technique that tries to unify data and processes into a single concept called an object. As an application development route, using rapid application development (RAD) is a system development strategy that emphasizes the speed of development through extensive user involvement in construction, fast, iterative and increasing series of prototypes that work on a system and eventually develop into the final system. The database used is the MySQL DBMS which has been tested to be able to handle large-scale databases. Some of the advantages of this system include the feature of classifying customers based on tariff types, and data that can be exported to Excel.
Unsupervised Aspect-Level Sentiment Controllable Style Transfer

Unsupervised style transfer in text has previously been explored through the sentiment transfer task. The task entails inverting the overall sentiment polarity in a given input sentence, while preserving its content. From the Aspect-Based Sentiment Analysis (ABSA) task, we know that multiple sentiment polarities can often be present together in a sentence with multiple aspects. In this paper, the task of aspect-level sentiment controllable style transfer is introduced, where each of the aspect-level sentiments can individually be controlled at the output. To achieve this goal, a BERT-based encoder-decoder architecture with saliency weighted polarity injection is proposed, with unsupervised training strategies, such as ABSA masked-language-modelling. Through both automatic and manual evaluation, we show that the system is successful in controlling aspect-level sentiments.
Exact solutions for the total variation denoising problem of piecewise constant images in dimension one

Abstract A method for obtaining the exact solution for the total variation denoising problem of piecewise constant images in dimension one is presented. The validity of the algorithm relies on some results concerning the behavior of the solution when the parameter λ in front of the fidelity term varies. Albeit some of them are well-known in the community, here they are proved with simple techniques based on qualitative geometrical properties of the solutions.
SAUDI TEACHERS PERCEPTIONS TOWARD UTILIZING SOCIAL MEDIA IN EFL CLASSES AT NAJRAN S SCHOOLS

This study aimed to investigate perspectives of English teachers on using social media in their instruction for intermediate and secondary schools. The study sample included (80) English teachers working in public schools located in Najran, Kingdom of Saudi Arabia. The researcher adopted analytical descriptive approach and used a questionnaire and interviews as research instruments. The results include following: 1) first axis the positive perceptions Saudi teachers towards integrating social media in English teaching periods rate was (medium), from perspectives of study respondents; 2)the second axis the negative perceptions of Saudi teachers towards integrating English teaching periods rate was (medium), from perspectives of study respondents;3) third axes  obstacles of using social media in teaching English response rate was(medium ) ; 4) there are no statistically significant differences amongst study respondents' perspectives at (0.05) level of significance on second axis (Saudi teachers' negative perceptions toward integrating social media in English teaching periods), based on variables (gender - educational qualification - years of experience).The study’s recommendations include following: 1) developing educational strategies commensurate with current digital age; 2) increasing use of social media in educational process with setting proper regulations for it; 3)establishing more training courses and educational seminars, for English teachers to help sensitize them to appropriate usage of social media in educational process.Keywords: Social Media; ELT; Smart Phones; Tablets; English Language Teachers, Najran Schools.
Few-Shot Few-Shot Learning and the role of Spatial Attention

Few-shot learning is often motivated by the ability of humans to learn new tasks from few examples. However, standard few-shot classification benchmarks assume that the representation is learned on a limited amount of base class data, ignoring the amount of prior knowledge that a human may have accumulated before learning new tasks. At the same time, even if a powerful representation is available, it may happen in some domain that base class data are limited or non-existent. This motivates us to study a problem where the representation is obtained from a classifier pre-trained on a large-scale dataset of a different domain, assuming no access to its training process, while the base class data are limited to few examples per class and their role is to adapt the representation to the domain at hand rather than learn from scratch. We adapt the representation in two stages, namely on the few base class data if available and on the even fewer data of new tasks. In doing so, we obtain from the pre-trained classifier a spatial attention map that allows focusing on objects and suppressing background clutter. This is important in the new problem, because when base class data are few, the network cannot learn where to focus implicitly. We also show that a pre-trained network may be easily adapted to novel classes, without meta-learning.
"Smart City": The Idea and Basic Concepts

The article examines «Smart City» as a concept that represents the use of information and communication technologies for more effective control and management of urban economy, city assets, such as schools, libraries, hospitals, law enforcement agencies, public services, power plants, etc. It is worth noting that this project is spreading more rapidly in the context of urbanization, because it can be used to find solutions to various social problems.
PERAMALAN PRODUKSI DAN LUAS AREA TANAM TEMBAKAU DI INDONESIA DENGAN METODE ARTIFICIAL NEURAL NETWORK

Tobacco is a leading commodity in the plantation sector which is very important in the Indonesian economy. Products that can be produced or traded are tobacco leaves and cigarettes. In 2012, the world's largest tobacco producing countries were China, Brazil, China, and the United States. Indonesia ranks 5th as the world's largest tobacco producer with a total production of 226,704 tons or 3.0% of total global tobacco production. Indonesia's success in producing tobacco can be determined by forecasting the next few years. The data used are production data and the area of tobacco planted in Indonesia from 1975 - 2018. The method used is Backpropagation which is a supervised training method applied to the Artificial Neural Network. One of the algorithms from Backpropagation is the Levenberg Marquardt algorithm developed by Donald Marquardt and Kenneth Marquardt, which provides a solution to the problem of minimizing non-linear functions. In this study it can be concluded that the best model for tobacco production is 1-6-1 with an MSE training value of 0.153 so that the forecast in 2019 is 160,240 tons. Meanwhile, the best model for tobacco planting area is 1-16-1 with MSE training value of 0.102, so the forecast in 2019 is 190,000 Ha. Keywords: Levenberg Marquardt Algorithm, Artificial Neural Network Method, Tobacco Production