Reviewerly/exHarmony huggingface dataset:
STUDENTS' REPRESENTATIONS OF A UNIVERSITY PROFESSOR'S LEADERSHIP QUALITIES IN CONDITIONS OF E-LEARNING

The article deals with the problem of university professor leadership qualities in conditions of e-learning. The purpose of this study was to determine the leadership qualities of a university professor that are in demand in e-learning, according to the students. The main method of research was a survey of students aimed at identifying their attitude to e-learning, and their opinions on the necessary leadership qualities of the university professor in the condition of e-learning. The respondents were 146 undergraduate students enrolled in teacher training programs at the Smolensk State University. The study shows the relationship between the presence of leadership qualities in the university professor and the positive attitude of students to e-learning. The most important qualities of a university professor in conditions of e-learning, according to students, are highlighted. The authors emphasize the importance of developing professors’ leadership qualities as an important factor in quality education at the university.
Research and Course Guides: Web Content: Guide Best Practices

Web content guides and templates for Library Research and Course Guides and more relating to code, content, and accessibility
THE QUICK IRON MACHINE (SALITIK) TO INCREASESS PRODUCTIVITY OF LAUNDRY BUSINESS

Yanuar Budiarto 1 , Gilang Rausyanfikri 2 , Muhamad Furqon 3 ,Muhammad Aidil Akbar Hidayat 4 , Dika Rafly Ramadhani 5 , Rudianto Raharjo, ST., MT 6 1,2,3,4,5,6 Mechanical Engineering Department, Brawijaya University Jln. MT Haryono 167, Lowokwaru, Malang, Indonesia Abstract. In this modern era, the phenomenon of laundry business is very common, which used to be just a washing service. As time goes by, the laundry business does not only offer washing but also offers neat clothes already ironed. Of course, in carrying out this business, laundry needs to work quickly and according to the schedule agreed by the customer. For ironing, laundry takes some time to heat up the appliance and our energy to iron clothes. Therefore, there is a tool called SALITIK which is expected to support the productivity of the laundry business. This quick iron or called SALITIK is shaped like a photocopy machine with a size that has been adjusted to the size of clothes in general. There is a top plate and a bottom plate that gets heat energy from the conversion of electrical energy. In addition, there is also a folding plate that makes it easier and faster to fold clothes. With the SALITIK tool, it is able to increase the profit of laundry partners' income and also make it easier and shorten the ironing time for laundry partners. Keyword. Laundry, Quick iron machine, SALITIK, Increase Productivity, neat clothes.
Nonlinearities in the singing voice

The vocal ligament and the thyroarytenoid muscle are the vibrating elements that control fundamental frequency in singing. Their stress-strain relations are highly nonlinear. For a 3 octave fo range, it requires an exponential rise in stress of the form eBε, where ε is the strain. The exponent B must be greater than 8.0 if there is a 2:1 vocal fold length change. There are also strong interaction nonlinearities. Maximum acoustic and aerodynamic power is transferred from the source to the airway if the glottal impedance approaches the airway impedance. The airway impedance can be controlled with the epilaryngeal airway, which acts like the mouthpiece of a trumpet.
Formation of Psychological Competence of the Educational Subjects

The article considers the nature and contents of the competency approach in education in modern social uncertainty. External and internal criteria for assessing the quality of education, as well as key competences that the student must master are revealed. The author shows the need for the freedom of goal-setting and freedom of students’ creativity as unique subjects of the educational process and professional activity.
Reinforcement Learning-Based Switching Controller for a Milliscale Robot in a Constrained Environment

This work presents a reinforcement learning-based switching control mechanism to autonomously move a ferromagnetic object (representing a milliscale robot) around obstacles within a constrained environment in the presence of disturbances. This mechanism can be used to navigate objects (e.g., capsule endoscopy, swarms of drug particles) through complex environments when active control is a necessity but where direct manipulation can be hazardous. The proposed control scheme consists of a switching control architecture implemented by two sub-controllers. The first sub-controller is designed to employ the robot's inverse kinematic solutions to do an environment search for the to-be-carried ferromagnetic particle while being robust to disturbances. The second sub-controller uses a customized rainbow algorithm to control a robotic arm, i.e., the UR5 robot, to carry a ferromagnetic particle to a desired position through a constrained environment. For the customized Rainbow algorithm, Quantile Huber loss from the Implicit Quantile Networks (IQN) algorithm and ResNet are employed. The proposed controller is first trained and tested in a real-time physics simulation engine (PyBullet). Afterward, the trained controller is transferred to a UR5 robot to remotely transport a ferromagnetic particle in a real-world scenario, achieving a 98.86% success rate over 30 episodes for randomly generated trajectories, demonstrating the viability of the proposed approach for real-life applications. In addition, two classical pathfinding approaches, Attractor Dynamics and the execution extended Rapidly-Exploring Random Trees (ERRT), are also investigated and compared to the RL-based method. The proposed RL-based algorithm is shown to achieve performance comparable to that of the tested classical path planners whilst being more robust to deploy in dynamical environments.
The Content and Structure of the Professional Competence of Employees of Criminally-Executive System

this article provides a theoretical analysis of the concept of “professional competence” and defines its structure. The structure of the professional competence of the employees of penal correction system.
BUILDING A MULTIVECTOR LOCAL BEHAVIOURAL ENVIRONMENT IN AN INNOVATIVE SCHOOL

In the development of synthetic competence of secondary school students, the appropriate behaviour-determining environment is crucial. The school strategy of 125th Secondary School – Sofia includes close cooperation with IMI-BAS, which helps to plan and implement a number of school and extracurricular initiatives that take into account the individual educational needs of gifted students. The article presents several examples of such initiatives, noting how they upgrade the compulsory classroom forms, but also open opportunities for research for secondary school students. A didactic model for building an individual educational trajectory has been adopted as a theoretical basis, as well as an extension of the model for building an multivector educational trajectory for a team of gifted students in the field of mathematics and IT.
Learning with ICT Tools: A New Challenge in the Times of COVID-19 in Students of Universidad Nacional, Chorotega Branch

In the field of educational research, the teaching process in times a pandemic has undergone a global transformation, establishing the support of virtual tools as an essential axis. The process of teaching supported by Information and Communication Technologies (ICT) has crossed in all contours and in multiple educational horizons, from informal to formal learning. The objective of this article was to know the learning with ICT tools and the level of perception around the realization of courses in virtual modality, during the COVID-19 pandemic. To achieve this, a quantitative study was carried out with a sample of 115 students from the National University of Costa Rica (UNA), Chorotega Branch Campus, using a sampling technique, not probabilistic, for convenience with a descriptive and explanatory study. The conclusions of this study show an acceptable level in learning with ICT tools and an adaptability to virtuality in terms of the study of student learning in balance with the traditional or face-to-face teaching model. Furthermore, its integration into a collaborative virtual environment is not easy.
Ideas for Improving Mathematics Teaching by Using the GeoGebra Mathematical Software

This paper deals with some uses of the GeoGebra mathematical software with the aim to improve and modernize mathematics teaching. It proposes some ideas for systemizing activities and problems related to solving a triangle. The problems are presented in two groups – basic and additional, each of which has subgroups. The purpose of the drawings is to illustrate the respective problem, to facilitate its solution, and to demonstrate the main requirement to learn mathematical concepts – to vary the insignificant properties of a concept to make the significant ones stand out.
THE CORRELATION BETWEEN STUDENTS’ MOTIVATION AND THEIR WRITING SKILL AT EIGHTH GRADE STUDENTS OF SMP N 17 BINTAN

ation between the students’ motivation and their writing ability. This was quantitative research applied correlational design. The population of this study was the eighth grade students at SMP N 17 Bintan, and the sample of the research was 28 students. The instruments of this research were questionnaire and writing test. The collected data were analyzed by using Pearson Product Moment Correlation. The result showed that students’ motivation and their writing skill was 61.71 and 39.21. The result showed that Pearson Product Moment calculation is rxy(1.00) and significant α (0.05). Because the data rxy was higher than significance alpha (α). Therefore, it can be concluded that there was significant correlation between students’ motivation and their writing skill. The higher students’ motivation, the higher students’ writing skill will be.
On polynomially many queries to NP or QMA oracles.

We study the complexity of problems solvable in deterministic polynomial time with access to an NP or Quantum Merlin-Arthur (QMA)-oracle, such as $P^{NP}$ and $P^{QMA}$, respectively. The former allows one to classify problems more finely than the Polynomial-Time Hierarchy (PH), whereas the latter characterizes physically motivated problems such as Approximate Simulation (APX-SIM) [Ambainis, CCC 2014]. In this area, a central role has been played by the classes $P^{NP[\log]}$ and $P^{QMA[\log]}$, defined identically to $P^{NP}$ and $P^{QMA}$, except that only logarithmically many oracle queries are allowed. Here, [Gottlob, FOCS 1993] showed that if the adaptive queries made by a $P^{NP}$ machine have a which is a tree, then this computation can be simulated in $P^{NP[\log]}$. In this work, we first show that for any verification class $C\in\{NP,MA,QCMA,QMA,QMA(2),NEXP,QMA_{\exp}\}$, any $P^C$ machine with a query graph of separator number $s$ can be simulated using deterministic time $\exp(s\log n)$ and $s\log n$ queries to a $C$-oracle. When $s\in O(1)$ (which includes the case of $O(1)$-treewidth, and thus also of trees), this gives an upper bound of $P^{C[\log]}$, and when $s\in O(\log^k(n))$, this yields bound $QP^{C[\log^{k+1}]}$ (QP meaning quasi-polynomial time). We next show how to combine Gottlob's admissible-weighting function framework with the flag-qubit framework of [Watson, Bausch, Gharibian, 2020], obtaining a unified approach for embedding $P^C$ computations directly into APX-SIM instances in a black-box fashion. Finally, we formalize a simple no-go statement about polynomials (c.f. [Krentel, STOC 1986]): Given a multi-linear polynomial $p$ specified via an arithmetic circuit, if one can weakly compress $p$ so that its optimal value requires $m$ bits to represent, then $P^{NP}$ can be decided with only $m$ queries to an NP-oracle.
Blockchain’s Heterotopia

New technologies are promising a new world. It has now become apparent that blockchain technology will have many more future uses than simply supporting cryptocurrencies and other cryptoassets.1 Blockchain could support many new applications with a potentially disruptive impact on social life such as smart contracts, managing registers of assets, and the operation of autonomous agents. In addition, some governments intend to base essential government operations, such as land registries, on blockchain.2 This may potentially lead to the law being of diminishing importance in the world.3
Exploring the Effect of Resolution on the Usability of Locimetric Authentication

Locimetric authentication is a form of graphical authentication in which users validate their identity by selecting predetermined points on a predetermined image. Its primary advantage over the ubiquitous text-based approach stems from users’ superior ability to remember visual information over textual information, coupled with the authentication process being transformed to one requiring recognition (instead of recall). Ideally, these differentiations enable users to create more complex passwords, which theoretically are more secure. Yet locimetric authentication has one significant weakness: hot-spots. This term refers to areas of an image that users gravitate towards, and which consequently have a higher probability of being selected. Although many strategies have been proposed to counter the hot-spot problem, one area that has received little attention is that of resolution. The hypothesis here is that high-resolution images would afford the user a larger password space, and consequently any hot-spots would dissipate. We employ an experimental approach, where users generate a series of locimetric passwords on either low- or high-resolution images. Our research reveals the presence of hot-spots even in high-resolution images, albeit at a lower level than that exhibited with low-resolution images. We conclude by reinforcing that other techniques – such as existing or new software controls or training – need to be utilized to mitigate the emergence of hot-spots with the locimetric scheme.
TRADITIONAL VALUES IN A MODERNIZED UNIVERSITY

The article examines the values of a traditional University such as freedom, truth, critical thinking, grounded worldview, in comparison with competencies, the achievement of which is the result of obtaining a modern education. It describes the risks caused by the digitalization of higher education.
Automating Induction by Reflection.

Despite recent advances in automating theorem proving in full first-order theories, inductive reasoning still poses a serious challenge to state-of-the-art theorem provers. The reason for that is that in first-order logic induction requires an infinite number of axioms, which is not a feasible input to a computer-aided theorem prover requiring a finite input. Mathematical practice is to specify these infinite sets of axioms as axiom schemes. Unfortunately these schematic definitions cannot be formalized in first-order logic, and therefore not supported as inputs for first-order theorem provers. In this work we introduce a new method, inspired by the field of axiomatic theories of truth, that allows to express schematic inductive definitions, in the standard syntax of multi-sorted first-order logic. Further we test the practical feasibility of the method with state-of-the-art theorem provers, comparing it to solvers' native techniques for handling induction.
Policy Gradient Approach to Compilation of Variational Quantum Circuits

We propose a method for finding approximate compilations of quantum unitary transformations, based on techniques from policy gradient reinforcement learning. The choice of a stochastic policy allows us to rephrase the optimization problem in terms of probability distributions, rather than variational gates. In this framework, the optimal configuration is found by optimizing over distribution parameters, rather than over free angles. We show numerically that this approach can be more competitive than gradient-free methods, for a comparable amount of resources, both for noiseless and noisy circuits. Another interesting feature of this approach to variational compilation is that it does not need a separate register and long-range interactions to estimate the end-point fidelity, which is an improvement over methods which rely on the Hilbert-Schmidt test. We expect these techniques to be relevant for training variational circuits in other contexts.
Employing Watermelon rind, Polyurethane Sponges, and Cotton fibers as Bio-carriers

Water scarcity in Egypt is a critical issue that threats all the life fields such as industry and agriculture sectors. So, searching for alternative water resources was the key solution by depending on treating dairy wastewater in order to provide sufficient treated water enough to reuse in other fields. Integrated fixed film activated sludge process (IFAS) was employed as a biological treatment process. A laboratory pilot was established as a simulation of the biological treatment process. The laboratory pilot consists of primary sedimentation tank, aeration tank, and final settling tank with dimensions of 50 × 25× 25 cm for each. Three bio-carriers were used as IFAS Media with different filling ratio in order to achieve COD, BOD, TN, and TP removal efficiency. Watermelon rind was used in the first experimental trial, then Polyurethane sponges in the second experimental trial, and Cotton fibers in the third experimental trial. After analyzing the physicochemical characteristics of dairy wastewater samples, it was clear that Cotton fibers was the most effective in removing BOD, BOD, TN, and TP concentrations with removal efficiency of  88.35%, 88.3%, 76 %, and 69.3% respectively.
Reference Architectures for Cyber-Physical Systems: Towards a Standard-Based Comparative Framework

To overcome the complexity of the architectural design of Cyber-Physical Systems (CPS) like smart grids and intelligent transportation systems, it is common to revert to reference architectures. Cyber-Physical Systems Reference Architectures (CPSRAs) guide the design and implementation of these systems by allowing the systematic reuse of proven architectural elements and solutions to recurrent problems. However, having found applications in various fields, existing CPSRAs are neither structured alike nor lexically aligned. This not only hinders their understanding, but also impedes their transferability to concrete projects, mainly in the absence of a unified framework for analyzing them. To fill this gap, the current paper proposes a first standard-based framework for comparing CPSRAs. By allowing the elucidation of the commonalities and differences and being standard-based, such framework paves the way for aligning and improving legacy and future CPSRAs. Accordingly, it provides a first step towards a unified framework for CPSRAs comparison. This would be useful and actionable for both academics and practitioners who are interested in, but not familiar with reference architectures. For the sake of validity, the framework is applied to four CPSRAs from both the automotive and energy sectors.
Experiencias de docentes durante la pandemia

In this Book we give an account of the many ways in which COVID-19 has impacted our work as teachers. Originally, we sought to provide accounts from fellow teachers of all educational levels, based on their experiences during the COVID-19 pandemic. However, we were forced to include other related data, due to the low number of contributions. Now, the interesting thing about this situation is that a tremendous opportunity was opened up to us to explore other sources of data collection, such as the documentary review, the survey and virtual ethnography.
Creativity to Generate Competitive Ability Arguments in Small Groups (Experience of the Case «7 Bogatyrs»)

The article analyzes the results of research on creativity to generate effective competitive arguments in a small group. The respondents took part in the exercise «7 bogatyrs», they were faced with the task of making arguments, conducting a self-presentation to win. Characteristics of effective competitive arguments: the consideration of the interests and needs of the person who chooses a winner; the advantages of own proposals, the disadvantages of competitors ‘proposals’. The results of the study are of practical significance for economic psychology, especially for marketing psychology and for gender psychology.
Contactless attendance system: a health-care approach to prevent spreading of Covid-19

The Covid-19 pandemic is an unparalleled threat in today&apos;s environment of quick development, and we face it as a global community. Like climate change, it is challenging our resilience from environmental health, social security, and government to knowledge exchange and economic policy in all sectors of the economy and growth fields. So much as climate change, this too would require everybody to come together and take an appropriate initiative. The coronavirus outbreak has highlighted our strengths and vulnerabilities that it has influenced and enabled us to benefit from each other&apos;s accomplishments and shortcomings. The entire globe might appear small amid this state of disaster and global travel bans. However, it is a period when the concept of teamwork and looking forward were never more relevant. In the wake of Covid-19, all contact-based biometric attendance systems have been rendered practically useless. Thus, a contactless biometric attendance system is the need of the hour to prevent the spreading of Covid-19. The present-day attendance systems are quite difficult to manage and maintain record. The attendance in classes or industries is mostly done manually, and logbooks are used to maintain records. This can be a cumbersome process as sometimes humans can make a mistake which might lead to inconsistency. This chapter proposes a completely automatic attendance system that uses contactless biometric as a health-care major in the Covid-19 pandemic. In a system using facial recognition, there are lots of challenges involved most of the time. These may include low intensity of light or face that is occluded. The You Only Look Once (YOLO) algorithm for facial detection has been used in this chapter to overcome this issue.
ADAPTATIONS IN ENGINEERING TEACHING DUE TO COVID-19: A TRANSITION TOWARDS BLENDED LEARNING

Appears in: ICERI2021 Proceedings Publication year: 2021Pages: 2379-2386ISBN: 978-84-09-34549-6ISSN: 2340-1095doi: 10.21125/iceri.2021.0593Conference name: 14th annual International Conference of Education, Research and InnovationDates: 8-9 November, 2021Location: Online Conference