Reviewerly/exHarmony huggingface dataset:
FEATURES OF THE FORMATION OF STUDENT MUSICIANS PERFORMING CULTURE IN HIGHER EDUCATION INSTITUTIONS

The article examines the problem of forming the performing culture of future musicians in higher education institutions. In the context of the identified contradictions, the authors consider the following directions of reforming the modern higher education institution: conceptual approaches to the education of performers; the content of the educational process in the field of performing arts; forms and methods of everyday art and pedagogical work. The content of these directions in the process of piano training till 1991 is described, it is found that it is closely connected with scientific and methodological works in the music field, where the peak of activity fell during the postwar period. Different positions on formation of musical and professional development of young people, which depend on motivation, are characterized; general outlook; set of qualities, preferences of the authors of theoretical works; the specific potential of the researcher; volume and direction of pedagogical activity; a variety of music and performance; personal actualization. Particular attention is paid to the consideration of the principles of orientation and interest, the application of which gives an opportunity to effectively carry out the process of development of students’ performing culture. It has been found out that the orientation of the teacher’s work in the executive class should include not only technological, artistic-figurative, educational, but also developmental aspects with elements of active creative position. The effectiveness of students’ performing culture will depend on the orientation of the teacher to deepen the processes of perception, imagination, reproduction, which are closely related to all students’ mental operations, and their development of thinking, in general. The principle of interest makes the work of improving the executive apparatus more natural, desirable, which rejects routine and stereotype. If there is interest during the educational process, then there are such components as accessibility, enthusiasm, understanding, commitment, which is very important for performing music and creative activity. Absence in music-pedagogical practice of interest leads to formalism, superficial contemplation, and as a result, to pseudo-creation.
Reconhecimento facial com técnicas de machine learning

For human beings to recognize people's faces by certain facial features is a natural skill. However, implementing facial recognition capabilities on machines is not an easy task. The machine language, known as machine learning, for facial recognition involves many mathematical calculations and requires great processing power. With the evolution of algorithms and the increase in the processing capacity of computers, the development of machines equipped with facial recognition technology is already possible. This technology is currently being used in several sectors, such as security, health, government sectors and others.Thus, the present work aims to carry out a broader study on the functioning of machine learning. It will also be discussed the functioning of artificial neural networks, a technique developed to simulate the functioning of the human neural network itself. Finally, a comparison of facial recognition algorithms provided by the openCV library will be presented. In order to evaluate the performance between the Eigenface, Fisherface and LBPH algorithms, it was necessary to develop a Python application with the ability to identify faces using global representations of the facial image.
AI, on the Algorithmic State of the Nation: Artificial Intelligence Unleashed and Civil Rights

In the classic movie "O Brother, Where Art Thou?" set in the turn-of-the-20th-century South, an ominously unstoppable lawman and his posse track escaped prisoners with bloodhounds and rifles, finally catching up with those flawed and comical heroes at an old home place. About to be summarily executed, our heroes protest that they have been recently pardoned by the governor and that their imminent lynching would be illegal. Their arguable leader Ulysses Everett McGill exclaims, “It ain’t the law!” Unfazed, Sheriff Cooley, cruel eyes hidden behind lifeless black shades, juts his implacable jaw skyward and scoffs, “The law? The law is a human institution.” With those immortal words, the lawman at once justifies and pardons the illegality of the looming nooses on the grounds that the law is intrinsically fallible, being a human creation, and that fallibility is an irrefutable inevitability.Artificial intelligence is a human institution. It, machine learning, and all its algorithmic system variants (collectively, “artificial intelligence” or “AI”) are flawed and are subject to the discriminatory biases of those people who and organizations that design, code, test, and use them, including the judiciary, the administrative state, and other government institutions and private companies. Much of the multitudinous Big Data upon which algorithms feed and operate are likewise flawed and reflect discriminatory biases, including the historical biases baked into and persisting in the data from redlining and systematized racism in the Jim Crow era.AI deploys rapidly, at scale, and often worldwide. Consequently, discriminatory biases in AI has a tremendous and rapid potential for harm to the people who are the subjects of those systems, their families and communities, and to the societies of which they are a part. Because algorithmic determinations may be used, in turn, as inputs for yet other algorithmic systems, the harms propagate. The harms may be irreparable. The scale and gravity of the impact of discriminatory bias in machine learning and other artificial intelligence and algorithmic systems are enormous and represent potentially existential and global threats to a more perfect union of humanity.Artificial intelligence is a human institution, but that does not mean that we should accept its misdesign and misuse as inevitable failings that may be simply written off as the cost of “doing business.” Where people and organizations invent and seek to deploy such tools, they and public policy leaders must find ways of minimize the amplified risks of new and irreparable harms associated with those tools.How then can discriminatory biases in machine learning and other artificial intelligence systems be detected and eradicated? How can we ensure that, despite their status as a “human institution,” algorithmic systems are purged of their human-derived flaws and rendered just? These questions and others resonate, leading to the ultimate question of algorithmic justice: What is the Algorithmic State of our Nation, and how may it be ascertained and continually improved?
Konstruksi Model Hubungan Dua Variabel Dengan Analisis Regresi Spline

This paper discussed about the construction of a model the relationship between a dependent variabel and a independent variabel using spline analysis regression. This methods is usually used when the relationship between variables is unknown. This methods is applied to construct the growth curve for children under 3 years of age in Padang.Kata Kunci: spline regression, growth curve, children under 3 years of age
Redundant binary representations with rigorous trade-off between connectivity and locality

We design a general mathematical framework of redundant binary representations that are easy to apply for evolutionary algorithms and are efficient with respect to several measures such as synonymity, connectivity, and locality. The proposed representations are easy to scale for any problem dimension and any level of neutrality, and they can exhibit different values of connectivity and locality.
IMPROVING READING COMPREHENSION ON RECOUNT TEXT BY USING AUTHENTIC MATERIAL

The research was aimed to improve students’ reading comprehension on recount text by using authentic material to Class IIS 2 students of Year-10 in SMAN 1 Mempawah, membership of 33 students. This research was a Classroom Action Research with two cycles. Each cycle consisted of planning, acting, observing, and reflecting. Field notes, observation checklist, video recording, and individual tests were used as the tools to collect the data. Qualitative and quantitative analyses were used to analyze the data. The finding showed that there was a significant improvement from cycle to cycle. Through authentic material, the students were able to improve their reading comprehension well. It helped the students to learn with the real model and found an interesting way in the learning process. The researcher focused on reading comprehension of recount text by using authentic printed materials in kinds of newspapers. It was very appropriate, effective, and helpful to be used by the teachers in teaching reading comprehension on recount text.
Test, track, and trace: How is the NHSX COVID app performing in ahospital setting?

Objective: To assess the uptake and use of the trial contact tracing app developed by NHSX by healthcare workers.Design: Cross-sectional study using survey questionnaire.Setting: Healthcare industry: St Mary’s Hospital, a small NHS district hospital on the Isle of Wight, United Kingdom.Participants: NHS staff members employed by the Isle of Wight NHS Trust.Results: Of 3100 eligible staff members, 462 (~15%) responded to the survey. Of the respondents, 90% were aged between 31 and 65, and half had direct patient contact through their job role. Almost three quarters (73%) used social media apps on their smartphones. 421 out of 460 respondents had no trouble downloading and installing the NHSX COVID app on their smartphones. 20% of respondents were left confused by instructions to turn off Bluetooth when wearing PPE. Only 35 people either had to report symptoms or received an alert of contact with a suspected COVID case. Of these over 20%were not clear what to do in such a situation.Conclusions: The trial app has been embraced and adopted well. Many have experienced no problems with it. However, some healthcare workers have been unable to download or install the app due to compatibility issues and some have been left confused by having to turn off Bluetooth whilst wearing PPE.This raises questions as to the effectiveness of the app for its intended purpose in contact tracing efforts.Recommendations: We recommend that the wording of alerts and guidance provided by the app be made clearer and more accessible. We also recommend developments to the app to facilitate use by healthcare workers in a clinical setting. We also propose that ‘app instructors’ be made available in hospitals to ensure that patients and staff can access help and advice on use of the app.
Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit.

We study goodness-of-fit of discrete distributions in the distributed setting, where samples are divided between multiple users who can only release a limited amount of information about their samples due to various information constraints. Recently, a subset of the authors showed that having access to a common random seed (i.e., shared randomness) leads to a significant reduction in the sample complexity of this problem. In this work, we provide a complete understanding of the interplay between the amount of shared randomness available, the stringency of information constraints, and the sample complexity of the testing problem by characterizing a tight trade-off between these three parameters. We provide a general distributed goodness-of-fit protocol that as a function of the amount of shared randomness interpolates smoothly between the private- and public-coin sample complexities. We complement our upper bound with a general framework to prove lower bounds on the sample complexity of this testing problem under limited shared randomness. Finally, we instantiate our bounds for the two archetypal information constraints of communication and local privacy and show that our sample complexity bounds are optimal as a function of all the parameters of the problem, including the amount of shared randomness.\n\nA key component of our upper bounds is a new primitive of domain compression, a tool that allows us to map distributions to a much smaller domain size while preserving their pairwise distances, using a limited amount of randomness.
DEVELOPMENT OF STUDENTS’ COMPUTATIONAL THINKING THROUGH CREATIVE DIGITAL STORYTELLING IN BLOCK-BASED PROGRAMMING ENVIRONMENT

DEVELOPMENT OF STUDENTS’ COMPUTATIONAL THINKING THROUGH CREATIVE DIGITAL STORYTELLING IN BLOCK-BASED PROGRAMMING ENVIRONMENT
Incessancy Of Education And Activities In The Development Of Professional Education

This article discusses the problem of increasing the efficiency of the educational process through the use of practice-oriented methods in the organization of education in order to develop professional readiness.
DISEÑO DE UNA APLICACIÓN WEB PARA LA ATENCIÓN EN LÍNEA PARA LA IDENTIFICACIÓN TEMPRANA DE TRASTORNOS MENTALES POR EFECTOS DEL COVID 19 (PSICOVID-19)

The present manuscript shows the advances related to the design of a web application, for the synchronous attention, that allows the early identification of mental disorders given by the effects of the COVID - 19, not only with a focus from the guidelines and directives established by the different governments or organizations, but in search of supporting the needs of accompaniment to the individuals in diverse situation that are generated in front of a process of quarantine from the psychosocial point of view.
School performance: New multimedia resources versus traditional notes // El rendimiento escolar: Nuevos recursos multimedia frente a los apuntes tradicionales

With the increasing adoption of information and communication technologies among youngsters, it has become common for high school students to incorporate the use of multiple devices and digital platforms in their study habits. Although these digital resources support and motivate them to learn, these are also a source of continuous distraction. This research analyzes the impact of studying with handwritten notes, WhatsApp, YouTube and searching the Internet in academic performance, through a mixed method that combines 31 focus groups and a survey of 7,217 students from 12 to 18 years of age in Chile. The results of the focus groups show that the positive impact of technologies in learning would depend on the students’ motivation for learning, their ability to efficiently control and manage the available digital resources, and their capacity to search and evaluate information on the Internet. The survey concludes that those who study with their notes more frequently have better academic performance, whereas those who frequently study with YouTube and WhatsApp have a lower GPA, with no significant differences when it comes to internet browsing. These results reinforce the need raised by scholars to generate policies that promote digital literacy both inside and outside the school.
The Influence of Topic Management on the Speaking Ability of Iranian Intermediate EFL Learners

In English as a Foreign Language (EFL) settings where English is not the spoken language, Topic Management has been recognised as one of the factors that influence the speaking ability of learners (Du-Babcock, 1999). In Iran, many intermediate EFL learners find it very difficult to manage the speech aspect of the English language. The present study examines the influence of Topic Management on the speaking ability of Iranian intermediate EFL learners. It provides useful insights on teaching speaking skills through Topic Management to improve the speaking ability of learners. In this study, quasi-experimental design was used. 40 intermediate learners were selected and divided into two groups, the Control Group and the Experimental Group. Three tests were administered to obtain data from the participants. These were a proficiency test to check the English proficiency level of the participants, a speaking pre-test to check their speaking ability before the treatment, and a speaking post-test to check their speaking ability after the treatment. The results indicate that Topic Management has an influence on the speaking ability of Iranian EFL learners. That is, the more the student is confident in managing the topic the more he/she is able to sustain the conversation. The study concludes that Topic Management can be a facilitative approach to improving Iranian intermediate EFL learners’ speaking ability.
Os Estilos de funcionamento da liderança nas coordenações do Arquivo Público do Estado da Bahia (APEB), Brasil

It demonstrates the results of a thesis on leadership styles in the Coordinations of the Public Archives of the State of Bahia (APEB).For this purpose, data collection took place through the application of 4 (four) questionnaires to the coordinators of the 5 (five) APEB Coordinations and the treatment of the data was done in an Excel spreadsheet.It is concluded, among others, that the chief archivists can gather in their teams several complementary skills that provide performances that are superior to individual performances.In this way, information, responsibilities and collaboration are shared, which guarantee the team's confidence in its leader.It is also necessary to develop selfknowledge and perception of the external environment through continuous learning, improving relationships, creative capacity and innovation.After all, the ability to lead teams helps to promote creativity, break the isolation and encourage multifunctional work.
On Phalanx Graph Search Number

We introduce an extension of the Connected Graph Search, called Phalanx Graph Search, which inherently emerges from the nature of certain applications. We discuss its key properties, prove NP-hardness of the problem on general graphs and introduce a linear-time algorithm for the class of trees. We exploit our analysis to examine the Minimum Phalanx Graph Search Spanning Tree Problem, again showing its hardness and investigating efficiency of certain approximations. We discuss some of our findings in relation to other search variants.
Analisis User Experience dan Redesain Website My Permata Wisata dengan Menggunakan Metode Cognitive Walkthrough

My Permata Wisata is a company engaged in tourism by utilizing websites and mobile applications as a means to provide information about accomodations and hotels needed by users. Services offered by My Permata Wisata are open trips, private trips, and bus transportation. Because of that, we need a website analysis using the cognitive walkthrough method. In the cognitive walkthrough method, there are 4 interdependent elements, such as: 1) branding, 2) usability, 3) functionality, and 4) content. Data collection techniques used consisted of task scenarios, while each task scenario had several stages. And from this task scenario, the amount of time needed by the respondent in completing each given task scenario then will be calculated. The result of this research are recommendations to improvements and mockup design to improve the quality of My Permatas Wisata website.
A Monte Carlo-Based Search Strategy for Dimensionality Reduction in Performance Tuning Parameters

Redundant and irrelevant features in high dimensional data increase the complexity in underlying mathematical models. It is necessary to conduct pre-processing steps that search for the most relevant features in order to reduce the dimensionality of the data. This study made use of a meta-heuristic search approach which uses lightweight random simulations to balance between the exploitation of relevant features and the exploration of features that have the potential to be relevant. In doing so, the study evaluated how effective the manipulation of the search component in feature selection is on achieving high accuracy with reduced dimensions. A control group experimental design was used to observe factual evidence. The context of the experiment was the high dimensional data experienced in performance tuning of complex database systems. The Wilcoxon signed-rank test at .05 level of significance was used to compare repeated classification accuracy measurements on the independent experiment and control group samples. Encouraging results with a p-value < 0.05 were recorded and provided evidence to reject the null hypothesis in favour of the alternative hypothesis which states that meta-heuristic search approaches are effective in achieving high accuracy with reduced dimensions depending on the outcome variable under investigation.
EDUCATIONAL INNOVATION PROJECT: CRITICAL ARCHITECTURE

The cross-disciplinary skill of critical thinking is essential to all levels of architectural training.However, it has been established that at present students are not always able to make solid architectural critical thinking.This paper presents the development of an action protocol proposed to consciously contribute to exercising this cross-disciplinary skill among students participating in the educational innovation project: "Critical architecture.Development of a methodology to work on the cross-disciplinary skill of critical thinking among architecture students".The research proposed is developed as part of different subjects of the Architecture degree of the UPV Higher Technical School of Architecture: two obligatory 4th-year subjects and an obligatory 5th-year subject.This proposal has also incorporated an elective subject from the Master's in Architecture and two subjects from the Official Master's in Conservation of Architectural Heritage.The educational innovation project therefore covers six different subjects in total: three from the degree (4th and 5th year) (skill level II) and three from the master's (skill level III).The main aim of the project is to carry out different learning actions (adapted to each of the subjects covered by the project) in order to structure a work methodology designed to improve and develop the cross-disciplinary skill of critical thinking among students at different levels.Work will also be carried out to improve students' awareness of their ability in this skill.This innovation project is also geared towards improving student learning in the specific curriculum for each subject included in the project.Therefore, if this methodology yields positive results, it could be adapted to other skill levels as yet undeveloped, such as skill level 1 in 2nd and 3rd year subjects.
Energy-Efficient Dummy Traffic Generation for Home Automation Systems

Abstract Home and Building Automation Systems are becoming more and more popular these days. While they increase the comfort of living, they may also leak private information such as user presence to passive observers. In this paper we investigate approaches for the generation of dummy traffic in Home Automation Systems (HASs).We discuss fundamental requirements and their impact as well as two concrete dummy traffic generation algorithms.We measure the impact of Constant- Rate Dummy Traffic (CRDT) on the responsiveness and energy efficiency of Home Automation Systems. As an alternative, we present the Naive Exponential Dummies (NED) generation scheme in which the balance between privacy guarantees and energy efficiency can be arbitrarily moved. We formally prove its privacy guarantees and evaluate it against realistic sample data.