Reviewerly/exHarmony huggingface dataset:
발레를 활용한 피아노교육 프로그램 개발 : 예술고등학교 피아노 전공자를 대상으로

This study aims to develop a piano education program with ballet for arts high school students who major in piano. This program is composed of 6 sessions considering the educational conditions of arts high school and focused on essential skills that must be performed in piano practice: legato, rubato, tempo, pedaling and dynamics. In addition, the goal of the program was to improve piano performance and musical expression, and to improve the learning effect by connecting it with the texture of ballet.In the first session, learning the concept of ballet class motion and dealing with the connection with music and video. The second session is about legato and rubato, improving a musical expression of the slow three-beat system and using the depth of port de bras and allonge. For the third session is the time to train maintaining the stable tempo, introducing the regular characteristics of ballet classes movements to connect the education of tempo stability. The fourth period is a pedaling exercise time for expression of music, and dealt with various pedal techniques in conjunction with the change of accents position of motion and the sense of space, weight and phrase of motion. The fifth session is about the technique for expressing dynamics, and it is connected to the training of high-level performance by using the characteristics of small-scale delicate movements and large-scale strong movements. Finally, the sixth session is a wrap-up time for finishing the program, including checking each session’s contents and discussion on the possibility of development.The ultimate purpose of learning for students majoring in piano is to grasp the composer’s intentions and play them based on the correct musical interpretation. However, there are parts that are difficult to express only with interpretation and technique. The educational program presented in this study will help improve the delicate and rich expression as well as the cultivation of piano techniques by introducing the sensibility of ballet into music. I hope that various teaching methods that incorporate visual arts will continue to be developed and studied in the future, and hope that the program will be used as a useful educational material for piano majors in arts high schools who intensively train piano skills.
PENGGUNAAN KATA KETERANGAN DALAM KOLOM OPINI SURAT KABAR HARIAN KOMPAS

The use of inappropriate adverbs results in misunderstanding of sentences. Therefore there needs to be a portrait / in-depth analysis related to the use of adverbs in the opinion column of a daily newspaper. The method used in this research is qualitative method. Sources of data in this study are opinion articles contained in the Kompas daily newspaper. The results of this study indicate that in the opinion article of the Kompas newspaper, there is a use of adverbs that are used productively by the author with the aim of expanding the sentence and clarifying the author's intent.
Automatic Recognition Systems and Human Computer Interaction in Face Matching

The human face facilitates identification in security and policing scenarios. In these settings, automatic face recognition systems have increased in prevalence and accuracy in recent years. As a result, the identification task, which once fell entirely to humans, is now a process performed by man and machine. Automatic face recognition systems provide image similarity comparisons and can create candidate lists to narrow down potential targets. There is increasing interest in the accuracy of these systems, and the role that algorithms can play in the identification effort. The design, operational usage, and effectiveness of these automatic systems, as well as the interaction of human and computer recognition are the topics of this chapter.
Merancang Pembelajaran Interaktif Mata Kuliah Organisasi Komputer sebagai Media Pembelajaran Online bagi Mahasiswa Akademi Teknologi AUB Surakarta

The computer organization course is a basic subject that must be in the Electronics Engineering Study Program at the AUB Surakarta Institute of Technology. The computer organization course has a weight of 2 credits. This course must be taken for Electrical Engineering students because it is the basis of advanced courses in the Electronics Engineering Study Program. Currently, the method of learning computer organizations in the Electronics Engineering Study Program of the AUB Surakarta Institute of Technology is mostly carried out using lectures, discussions, demonstrations, dissemination, and practicum methods. This method is quite effective, but not enough if the desire to learn requires students to be more active and independent. The learning process cannot be shortened to save time, this is because the lecturer must always provide instructions to the students. Of course, it is less effective in mastering computer organization courses, therefore the use of interactive multimedia-based learning media is important to be used as a solution to reduce obstacles in the learning process. The development of interactive multimedia-based learning media uses the development of Borg and Gall's Research and Development (RD (2) in this model, revisions are made at each stage after testing, so that the media is more developed.
Biostratigraphy of the Pabdeh Formation in the Parsi Oil Field (Dezful embayment, South-West Iran)

In order to study biostratigraphy and the determination of biozonationes in the Pabdeh Formation based on the new planktonic foraminifera biozonationes in the Thethys region, one subsurface section in well 1 of Parsi Oil Field was selected in the southern Dezful Embayment. Based on this study, biostratigraphic study of 320 thin section from well 1 of Parsi Oil Field has been carried out. The Pabdeh Formation with a thickness of 404 m consists mainly of shale, marl, argilaceous limestone and cherty limestone.The lower boundary of the Pabdeh Formation with the Gurpi Formation is unconformable and the upper boundary with the Asmari Formation is conformable. Biostratigraphic studies led to the recognition of 25 genera and 75 species of planktonic foraminifera and then 19 biozones equivalent to new biozone of Wade et al. (2011) in the Thethys region. These identified biozones include 3 biozones in the Paleocene, 11 biozones in the Eocene and 5 biozones in the Oligocene in the studied section in well 1 of Parsi Oil Field and are well correlated with some biozones in the Tethys region. Based on the identified biozones and fossil contents, the age of the Pabdeh Formation is Middle Paleocene (Selandian) – Late Oligocene (Chattian). Defined biozones are compared with the other sections presented in the Izeh Zone (Tange Hatti, Tange Pabdeh and Chahardeh)
A Comparative Study of CNN Networks for Face Mask Detection

COVID-19, a virus that badly hit the world which had shown as many adverse effects as possible in terms of all the possible fields like causing illness, an economic imbalance to the nations, adverse effects in health conditions of the people, etc. It is believed and proven fact that wearing a face mask can be more sensible to minimize the possibility of being affected by covid-19. However, proper monitoring is needed in public institutions like health care centers, airports, offices to prevent the infection. Hence use of intelligent systems is the proper solution to the problem. By keeping in mind that it shouldn’t delay the working process, an accurate and quick system of face mask detection is needed. The better use of the intelligent systems in the given problem statement is obviously the computer vision when powered by artificially intelligent systems. In this paper, we present the research work we have conducted on the use of deep learning algorithms in the implementation of Face Mask Detection systems and determining the best one under the given circumstances. Here we considered the various types of CNN networks that can act as a backbone for the model by keeping in mind the economical constraints possessed. So, we implemented three types of CNN networks i.e. MobileNetV2, ResNet50V2, and Xception for face mask detection system and compared the results accordingly.Keywords- Face detection, CNN, RCNN, ResNet, MobileNet, Object detection
Requirement Analysis of Some Blockchain-based E-voting Schemes

Today, developing technology is one of the most effective tools to make our lives easier. One of these developing technologies is blockchain that enables securely transferring digital assets between peers without requiring a trusted third party. In particular, blockchain poses new opportunities to effectively satisfy transparency, verifiability and anonymity for e-voting schemes. Based on recent proposals, it can be easily seen that applicability of blockchain technology for e-voting systems is actively researched. In this paper, we first summarized the set of e-voting requirements based on studies by Popoveniuc et al., Fujioka et al., Cranor et al., Benaloh et al., Juels et al. and etinkaya et al. In the light of these studies and requirement set, we analyzed recently proposed blockchain-based e-voting systems. As a result of these analyzes, one can determine that a mature blockchain based e-voting system that can meet all criteria has not been proposed yet. Particularly, we show that either the proposed schemes misses the basic requirements or does not fulfill these while claiming otherwise. Additionally, by simulating a large-scale election, we show that time complexity of e-voting schemes utilizing cryptocurrency blockchain such Bitcoin or Ethereum is impractical. Besides, we also emphasize new risks of utilizing public cryptocurrency blockchains for e-voting schemes. Accordingly, the readiness of blockchain-based e-voting has been discussed, from which it can be deduced that it would be more advantageous to research for e-voting specific blockchain technologies instead of utilizing existing cryptocurrency blockchains.
Applying PROMETHEE for Ranking Investment Alternatives in the Context of Social Stock Exchange

The political situation of India is waiting for an upcoming bill on social stock exchange. Although the concept is new in India but the concept is not virgin in the entire world. Several countries of the world are well aware of such concept and applied social stock exchange in their economy successfully. The concept of social stock exchange is well-practiced in countries like Canada, Singapore, South Africa, United Kingdom. Before the introduction of such a step as discussed in various news media and articles, investigation into various opportunities and threats for such policy are required to be performed in the Indian context for social impact investments. Under this context, this paper presents a scenario of choosing the best option for an individual investor, from among various investment alternatives after the introduction of social stock exchange in India. A multicriteria decision analysis model based on PROMETHEE has been applied for the purpose of ranking the alternatives under a set of selected criteria such as tax benefits, return from organizations and risk involved. The technique helps to rank the alternatives in the order of preference so as to enable an individual investor to choose the best one among all the possible alternatives. A numerical example shows the application of the ranking problem as presented in this paper.
Spatial matching of magnified 2D mammography images and specimen radiographs: towards improved characterization of suspicious microcalcifications

Accurate characterization of suspicious microcalcifications is critical to determine whether these calcifications are associated with invasive disease. Our overarching objective is to enable the joint characterization of microcalcifications and surrounding breast tissue using mammography images and digital histopathology images. Towards this goal, we investigate a template matching-based approach that utilizes microcalcifications as landmarks to match radiographs taken of biopsy core specimens to groups of calcifications that are visible on mammography. Our approach achieved a high negative predictive value (0.98) but modest precision (0.66) and recall (0.58) in identifying the mammographic region where microcalcifications were taken during a core needle biopsy.
WBCT Features Based Detection Of Glaucoma In A Secured E-Health Environment

- e-Health, an electronic form of healthcare uses the advanced information and communicationtechnology within healthcare environments. Authentication and integrity verification of the important medicaldata is one of the major challenges in the e-Health platform. Proper verification of patients with associatedmedical images or data is crucial to conduct accurate medical diagnosis. A watermarking based securityframework is proposed to address the issues of authentication and integrity verification of medical images fore-Health applications. In this paper the electronic patient record (EPR) used as watermark is encoded usingArnold transform and is embedded on the retinal fundus images (consisting of healthy and diseased images),using a hybrid watermarking technique. The hybrid watermarking technique integrates the Integer wavelettransform (IWT) and histogram bin shifting. Automated diagnosis of Glaucoma from the embedded retinalfundus image is performed to show the possibility of a high level of security for medical images. Moreover,the correct recovery of the EPR from the watermarked images makes the framework applicable to theauthentication of medical images for a computer based automated diagnostic system in an e-Healthenvironment
Impact of globalization on financial industry

This paper deals with the impact of digital globalization on the financial industry. In the wake of recognizing the difficulties that are looked at by the financial industry, this paper manages the impacts of digital globalization on small businesses and on individuals. The business Environment has generously changed after the presentation of digital globalization along these lines, this will be a completely new era for the environment of business thus, in this paper, the impacts of globalization on the business environment will be talked about. While examining the new period of globalization, the benefits or gains from globalization will likewise be talked about. At last, the difficulties are looked due to the Coronavirus pandemic in digital globalization will be outlined. The focal research question is What is the effect on the financial industry due to digital globalization?
Localising STE2AM Education

AbstractThe aim of this chapter is to present science education in ways that are meaningful and reflective of the interests of learners, their contexts and local needs. While there is emphasis on finding means to meeting the needs of the job market, there is a gap in identifying what learners need to know to compete in the global market and become proactive citizens. The chapter argues that a reform in education is required to address the 2030 sustainable development goals (SDGs) and types of jobs that are locally and globally related to addressing major local and global challenges. The chapter addresses this gap by expanding the current reference to STEM and STEAM education as an interdisciplinary perspective to a transdisciplinary one that includes the field of education for sustainable development (ESD). In doing so, the chapter highlights major global trends through the 2030 SDGs and major advancements in technology and how these can be integrated into a transdisciplinary STE2AM (double E) model. The focus of inquiry of this chapter, therefore, is to investigate a possible transdisciplinary model through a local lens in a country such as Egypt within a framework that meets local and global challenges and addresses the fourth industrial revolution.
Personaggi e destino di frontiera in Fulvio Tomizza

Taking a cue from Giacomo Debenedetti’s fundamental essay Personaggi e destino (1959) and from a dialogue between Fulvio Tomizza and Riccardo Ferrante Destino di frontiera (1992), my intention is to investigate and compare the methods used in order to construct a relationship between the characters and the borders. The borders of interest are the ones between the ‘German’ world and an Italian and Slavic border in the sixteenth century, the Italian-Yugoslav border after 1945 and new Slovenian and Croatian borders on the East of Trieste after 1991. These borders are an essential aspect for characters in Tomizza’s novels where autobiographical motives are interweaved with fictional ones. Moreover, the author has left a precious volume of essays Alle spalle di Trieste where he expressed his poetics and the geo-historical concept as a constructive function (≪I was recomposing the dismembered border≫) in a multicultural space defined by the border. Today, almost two decades after Tomizza’s disap-pearance, the legacy of an author from Istria and Trieste is precious in the cul-tural and - above all - in the European multicultural context.
Regulating Deep Fakes: Legal and Ethical Considerations

Deep fakes have become a buzzword discussed widely among legal and technology experts. The term ‘deep fakes’ refers to face-swapping technologies that enable a quick creation of fake images or videos which appear incredibly realistic. This paper explains the technologies behind the creation of deep fakes and offers four categories of deep fakes (deep fake porn, deep fakes in political campaigns, deep fakes for commercial uses and creative deep fakes). The authors of this paper address ethical and regulatory aspects each of those four categories of deep fakes. Since the first deep fakes were used for malicious and socially detrimental purposes (e.g., revenge porn and political campaigns), the authors highlight that these deep fakes - like many other technologies in the past - initially are confronted with fear. Since deep fakes are likely to be more widely adopted in the future, the authors highlight various social and legal challenges which the regulators and the society will have to face. The paper also touches upon the potential role of online content dissemination platforms and governments in addressing deep fakes. The authors of this paper also offer three suggestions - one from a technology point of view and two from a regulatory angle - on how to curtail the advancement of deep fakes.
Warmer temperatures bring chance of freezing rain, urban flooding

The Q13 team is issuing another Weather Alert Day due to the chance of freezing rain and urban flooding on Monday.
Variational Quantum Boltzmann Machines

This work presents a novel realization approach to quantum Boltzmann machines (QBMs). The preparation of the required Gibbs states, as well as the evaluation of the loss function’s analytic gradient, is based on variational quantum imaginary time evolution, a technique that is typically used for ground-state computation. In contrast to existing methods, this implementation facilitates near-term compatible QBM training with gradients of the actual loss function for arbitrary parameterized Hamiltonians which do not necessarily have to be fully visible but may also include hidden units. The variational Gibbs state approximation is demonstrated with numerical simulations and experiments run on real quantum hardware provided by IBM Quantum. Furthermore, we illustrate the application of this variational QBM approach to generative and discriminative learning tasks using numerical simulation.
Self-Supervised Continuous Control without Policy Gradient

Despite the remarkable progress made by the policy gradient algorithms in reinforcement learning (RL), sub-optimal policies usually result from the local exploration property of the policy gradient update. In this work, we propose a method called Zeroth-Order Supervised Policy Improvement (ZOSPI) that exploits the estimated value function Q globally while preserving the local exploitation of the policy gradient methods. Experiments show that ZOSPI achieves competitive results on the MuJoCo benchmarks with a remarkable sample efficiency. Moreover, different from the conventional policy gradient methods, the policy learning of ZOSPI is conducted in a self-supervised manner. We show such a self-supervised learning paradigm has the flexibility of including optimistic exploration as well as adopting a non-parametric policy.
Key Aspects in Relation to Forensic Linguistics

The current study explores some key aspects in connection with forensic linguistics covering its discipline. Therefore, this study sheds some light on prominent types of linguistic evidence such as forensic stylistics, forensic phonetics, forensic transcription, discourse analysis, author identification, and more focus on forensic translation. It includes areas directly related to forensic linguistics like software forensic, plagiarism detection, and document examination. Forensic applications with respect to descriptive linguistics involving forensic linguists, the linguistic investigation of authorship, and text types shall be considered as well. Principles and skills needed for forensic translation will be also provided. In conclusion, the present study proposes that judges, lawyers and legal translators and interpreters, and specialized linguists should work together to have better understanding of law issues. They should benefit from the legal oral and written texts and legal translators should provide consultancy and experience towards legal issues and cases. Further suggestions and recommendations will be presented accordingly.
Brooks-Iyengars Real-Time Sensing Algorithm for Future

The article primarily benevolences a two-decade longstanding and most influential Brooks Iyengar’s Hybrid algorithm known as Robust Distributed Computing and Sensing Algorithm. The algorithm has established a foundation mark across various real time operating systems, application areas and fault tolerant schemes. The crucial contribution of the algorithm is majorly found in enhancing the features of MINIX real-time operating system, the hybrid architecture and scalability of the algorithm is proficient enough to encounter the unreliable and distributed sensors data using the Byzantine agreement and distributed decision-making process methods. This article emphasises on inclusion and adoption of most persuasive long running Brooks Iyengar’s algorithm in MINIX real-time operating system and their recent enhancement of incorporating the fault tolerant schemes. Further, the richness of algorithm has acclaimed by millions of vivid category of users around the globe in their research and tasks. Most significantly the algorithm is beneficial to DARPA, Open Source - Linux, IT Industry - Bae Systems and BBN technologies, Academics – Universities of Maryland, Georgia Tech, Purdue, Clemson and Wisconsin etc., and Research Labs like Penn State Applied Research Lab (ARL), USC/ISI. Additionally, the scalability of algorithm proved to be beneficial to other domains like cyber physical systems, robot merging, high-performance computing, reliability of software and hardware appliance and artificial intelligence systems. In this paper, we attempt to showcase the use cases and real-time deployments of Brooks-Iyengar algorithm in various aspects of physical world. Finally, the influence of algorithm across real-time MINIX operating systems.