Reviewerly/exHarmony huggingface dataset:
Massively scalable density based clustering (DBSCAN) on the HPCC systems big data platform

&lt;span id="docs-internal-guid-919b015d-7fff-56da-f81d-8f032097bce2"&gt;&lt;span&gt;Dealing with large samples of unlabeled data is a key challenge in today’s world, especially in applications such as traffic pattern analysis and disaster management. DBSCAN, or density based spatial clustering of applications with noise, is a well-known density-based clustering algorithm. Its key strengths lie in its capability to detect outliers and handle arbitrarily shaped clusters. However, the algorithm, being fundamentally sequential in nature, proves expensive and time consuming when operated on extensively large data chunks. This paper thus presents a novel implementation of a parallel and distributed DBSCAN algorithm on the HPCC Systems platform. The algorithm seeks to fully parallelize the algorithm implementation by making use of HPCC Systems optimal distributed architecture and performing a tree-based union to merge local clusters. The proposed approach* was tested both on synthetic as well as standard datasets (MFCCs Data Set) and found to be completely accurate. Additionally, when compared against a single node setup, a significant decrease in computation time was observed with no impact to accuracy. The parallelized algorithm performed eight times better for higher number of data points and takes exponentially lesser time as the number of data points increases.&lt;/span&gt;&lt;/span&gt;
Mobile Assisted Language Learning in Saudi EFL Classrooms: Effectiveness, Perception, and Attitude

The utilization of mobiles in EFL classrooms offers valuable opportunities for creating an effective learning environment. To determine the role of such a technology, the present study investigates the effectiveness of using m- learning or MALL in EFL classrooms, and how the use of such an apparatus correlates with the learners' academic achievements. It also examines the perceptions and attitudes of EFL students towards applying MALL in the classroom as an educational tool. A hybrid design containing both quantitative and qualitative questions was employed for the purpose of collecting the data. A total number of 126 students from different Saudi universities have been surveyed. Then, the data were analyzed and tested using Pearson test of relationship as well as descriptive statistics. The findings exhibited a positive correlation between the hours of using mobiles for learning purposes and the students' academic performance. Furthermore, the participants perceived m-learning as a beneficial and assistant tool, and expressed positive attitudes concerning its implementation in the classroom.
A Blockchain-based Renewable Energy Investment Management Platform: Decentralized Sustainable Development (DeSDev)

In this study, a novel blockchain-based platform for renewable energy investment is proposed.The blockchain technology has been shown to be a reliable way to send financial transactions across the world in a decentralized manner, at a fraction of the cost and with a faster transaction time.The proposed platform is capable of handling an equity-sharing investment program for solar PV projects.The platform distributes the electricity generation income by sending it over a blockchain.The Ethereum blockchain is used to create a prototype, which is a smart contract.The prototype is tested with a solar-PV electricity generation data.The result shows that the proposed platform can handle the expected transactions without an error.The overall performance of the proposed platform is tested by comparing its temporal duration and its financial costs with centralized solutions.Therefore, the proposed platform provides all the benefits mentioned at a much cheaper cost.
Fault-tolerant quantum speedup from constant depth quantum circuits

A defining feature in the field of quantum computing is the potential of a quantum device to outperform its classical counterpart for a specific computational task. By now, several proposals exist showing that certain sampling problems can be done efficiently quantumly, but are not possible efficiently classically, assuming strongly held conjectures in complexity theory, a feature dubbed quantum speedup. However, the effect of noise on these proposals is not well understood in general, and in certain cases it is known that simple noise can destroy the quantum speedup. Here we develop a fault-tolerant version of one family of these sampling problems, based on nonadaptive measurements on regular graph states composed of m qubits. We show that these sampling problems can be implemented fault tolerantly using quantum circuits of constant depth. We present two constructions, each taking poly(m) physical qubits, some of which are prepared in noisy magic states. The first of our constructions is a constant depth quantum circuit composed of single- and two-qubit nearest-neighbor Clifford gates in four dimensions. This circuit has one layer of interaction with a classical computer before final measurements. Our second construction is a constant depth quantum circuit with single- and two-qubit nearest-neighbor Clifford gates in three dimensions, but with two layers of interaction with a classical computer before the final measurements. For each of these constructions, we show that there is no classical algorithm which can sample according to its output distribution in poly(m) time, assuming two standard complexity theoretic conjectures hold. The noise model we assume is the so-called local stochastic quantum noise. Along the way, we introduce various concepts such as constant depth magic state distillation and constant depth output routing, which arise naturally in measurement based quantum computation, but have no constant-depth analog in the circuit model.Received 25 May 2020Accepted 27 August 2020DOI:https://doi.org/10.1103/PhysRevResearch.2.033444Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.Published by the American Physical SocietyPhysics Subject Headings (PhySH)Research AreasMeasurement-based quantum computingQuantum algorithmsQuantum error correctionQuantum protocolsQuantum Information
Research and development in robotics with potential to automate handling of biological collections

This report investigates the current state of physical (mechanical) robotics, automated warehousing approaches and assistive technologies in relation to the storage, handling and processing (particularly digitisation) of natural history collections. Robotics can sound futuristic, however we provide case studies that show many and growing examples of physical automation in the natural history and cultural heritage sectors, including barcodes and conveyor belts for digitisation; robots that handle multiple vials for molecular and genetic work; robots for use in in display or exhibition contexts; and automated warehousing of library collections. We provide a non-exhaustive example of an end to end workflow of storage, retrieval and processing and discuss aspects of the tools and challenges relevant to these stages. The Distributed System of Scientific Collections (DiSSCo), a new Research Infrastructure for natural science collections, should build on this, leading a future programme of pilots that develop understanding of independent stages, and can be connected to make progress towards end-to-end solutions. Robots, or automated systems, excel at repetitive tasks, and are developing rapidly to be able to handle more complex object types, at lower cost. High volume, high variety of objects, and considerations such as fragility are not unique to the natural history sector - they apply for example to major retail operations - however natural history collections do offer some of the more extreme examples of these challenges, and in particular are not replaceable. Increased consistency of storage units is likely to be a critical factor in enabling automated handling in future, as well as looking at automation possibilities when new collections storage spaces are developed and built. Engagement with industry and subject matter experts has been patchy and again we recommend that DiSSCo help to ensure a joined up engagement with the right incentives in place, and with clear communication of requirements and challenges for shared R&amp;amp;D. When examining return on investment for particular automation, collections-holding institutions need to consider not only time and cost of automation compared to human labour, but wider factors including: health and safety such as physical environment and repetitve strain injury; security; quality and consistency of outputs; degree of criticality in response times (e.g. if digitising on demand); effective use of spaces; and freeing up staff to conduct other tasks. Purely software-based automation is outside the scope of this report, but is also in increasing use and has enormous potential, for example to transform the extraction of label and specimen data at scale from images. The challenges of managing and digitising collections at scale under DiSSCo are likely to require a combination of hardware and software automation approaches.
Fuzzy cognitive maps and their application in the economic sciences

The main purpose of the paper is an expert assessment of the relationship existing between selected indicators carried out using a relatively new tool in economic sciences: Fuzzy Cognitive Maps. The effect of its application is a graphical presentation of the relationship between the factors identified as the key ones. In the paper 23 indicators, describing four selected goals in the Strategy for Sustainable Development, 2030 Agenda were selected. It is assumed that the sustainable development goals should be related but according to the experts opinion this only applies to some indicators. This kind of relationships can be certainly identified in the case of the goals describing social and economic development, but often also economic and environmental development. However, the research results presented in the paper do not always confirm the existence of connections between individual indicators selected for the description of the goals of sustainable development. The paper tries to explain this problem
A New Framework of Feature Engineering for Machine Learning in Financial Fraud Detection

Financial fraud activities have soared despite the advancement of fraud detection models empowered by machine learning (ML). To address this issue, we propose a new framework of feature engineering for ML models. The framework consists of feature creation that combines feature aggregation and feature transformation, and feature selection that accommodates a variety of ML algorithms. To illustrate the effectiveness of the framework, we conduct an experiment using an actual financial transaction dataset and show that the framework significantly improves the performance of ML fraud detection models. Specifically, all the ML models complemented by a feature set generated from our framework surpass the same models without such a feature set by nearly 40% on the F1-measure and 20% on the Area Under the Curve (AUC) value.
Differential Cryptanalysis of New Qamal Encryption Algorithm

Currently, the Republic of Kazakhstan is developing a new standard for symmetric data encryption.One of the candidates for the role of the standard is the Qamal encryption algorithm developed by the Institute of Information and Computer Technologies (Almaty, Republic of Kazakhstan).The article describes the algorithm.Differential properties of the main operations that make up the Qamal cypher are considered in the questions of stability.We have shown that for a version with a 128-bit data block and the same secret key size for three rounds of encryption it is difficult to find the right pairs of texts with a probability of 2 -120 , which makes differential cryptanalysis not applicable to the Qamal cypher.
Design of an Intelligent Symptom Differentiation and Electrical Stimulation Rehabilitation System

In traditional Chinese medicine (TCM), symptoms are mostly differentiated subjectively by doctors. This approach of symptom differentiation lacks objective basis. Moreover, it is difficult to differentiate between symptoms and treat them through electrical stimulation rehabilitation (ESR) in the absence of TCM doctors. To solve these problems, this paper designs an intelligent symptom differentiation (ISD)-ESR system, which includes a software part for dialectical analysis, and a hardware part for electric stimulation of acupoints. The system was designed with the aid of the following technologies: fuzzy analytic hierarchy process (AHP), chromatographic decomposition, spatiotemporal slicing, optical flow field method, collaborative filtering based on deep neural network (DNN), and software-hardware fusion techniques (e.g. electrical stimulation signal control and Bluetooth multi-pass control). The proposed system was applied to treat 30 patients with primary insomnia in the sleep center of a tertiary hospital. The results show that the proposed system achieved an accuracy of 93.3% in symptom differentiation, and significantly improved the effect of electroacupuncture on insomnia (P&lt;0.05). Overall, the proposed system makes up for the defects of existing devices, and improves the effect of rehabilitation treatment.
The Use of Digital Laboratory Work in Quantum Physics in the Process of Learning Physics Teachers

In the process of studying physics to solve the tasks of forming the foundations of a scientific worldview, the development of intellectual abilities and cognitive interests of students, the main attention should be paid not to transferring the amount of ready knowledge, but to acquaintance with the methods of scientific knowledge of the surrounding world, the formulation of problems that require students to independently work to resolve them. The relevance of the study of this problem is due to the fact that one of the difficult sections for training physics is the section "Quantum Physics". To achieve the best learning outcomes in this section, it is advisable to supplement the existing physical laboratory workshop with virtual interactive computer laboratory works that simulate those physical processes whose study is difficult or impossible with existing laboratory equipment, which allows a better understanding of the essence of such processes. The purpose of the work is to develop and test a digital laboratory workshop “Quantum Physics”, which allows to increase the level of understanding of the essence of physical processes considered in quantum physics and gives a chance to the development of professional competencies of a future physics teacher. To achieve this goal, the authors used the following research methods: theoretical analysis of the state of the problem based on the study of methodological, didactic, psychological and specialized literature, dissertation research on this problem; materials of conferences on the use of digital technologies in physical education, regulatory documents that determine the structure and content of professional training of a physics teacher, the study and generalization of pedagogical experience; computer modeling of physical processes, observation, conversation, questioning, interviewing, conducting a pedagogical experiment. The digital laboratory workshop “Quantum Physics” direct to create a connection between the mathematical formalism of quantum physics and its specific practical manifestations. The focus of the digital laboratory workshop “Quantum Physics” is on the physical side of the issues addressed. The results of the testing, observation and conversation during the submission of the report on the implementation of laboratory work showed that the introduction of the digital laboratory workshop "Quantum Physics" in the educational process allows you to increase the level of understanding of the essence of the physical processes considered in quantum physics.
CALCULATION OF THE INSTANT MODEL OF SOLAR RADIATION DISTRIBUTION ON CURVED SURFACES IN HIGH-RISE BUILDINGS

The aim of research is to simulate the zones of solar radiation on the curved surfaces of the shells of high-rise buildings for the effective use of renewable solar energy. An urgent task is the development of tools that can substantiate the decision-making by designers about the location of solar thermal devices in the energy-efficient design of curvilinear high-rise buildings. The main attention is paid to high-rise buildings, is actively growing in modern megalopolises and requires a significant energy resource. To optimize the integration of solar thermal devices in high-rise buildings, it is important to take into account a set of design parameters, including parameters of surface shape and location in space. A feature of curved surfaces, considered in the study, is their aerodynamic properties, which provide them with the advantage of choosing among modern high-rise buildings. At the same time, the complexity of setting the parameters of a curved surface to determine the zones of solar radiation for the effective use of regenerative solar energy lies in providing reliable and convenient tools for optimizing decision-making.&#x0D; The study proposes an application of the method based on a discrete geometric model of solar radiation input on the surface of the shells of high-rise buildings, described by compartments of curved geometric surfaces. As a result of modeling, let’s obtain a family of lines of the same level of solar radiation on a certain curved surface for the given parameters of time and geographic location. As an example of simulation modeling, the performed calculations of the instantaneous model of the distribution of solar radiation on the compartments of the curved surfaces of an ellipsoid of revolution, hemisphere, hyperbolic paraboloid. On the basis of the proposed model for the distribution of solar radiation over curvilinear surfaces of buildings, the influence of factors arising in the design process is investigated: changes in the geometric parameters of the surface shape, orientation to the cardinal points, the formation of zones of its own shadow on surfaces. Calculations were performed and instantaneous solar radiation zones were constructed on the surfaces of a hemisphere, a hyperbolic paraboloid with various geometric parameters, taking into account different orientations relative to the cardinal points, and determining the zones of its own shadow.&#x0D; At this stage of the study, the result is an algorithm for constructing zones of different levels of solar radiation on curved surfaces of high-rise buildings. The advantage of the algorithm is the ability to analyze the results of changes in the design parameters of the surface of a high-rise building when placing solar systems on them. The proposed approach will provide a basis for automating the modeling process, will help expand the scope of solar systems in high-rise construction and increase the efficiency of their work
The role of knowledge management in delivering the organization to the state of performance excellence: Mediating role of technological vigilance

Current study aims to examine the relationship between knowledge management and performance excellence through the effect of knowledge management (KM) on technological vigilance within pharmaceutical manufacturing organizations in Jordan. Depending on quantitative approach, 270 questionnaires were distributed among employees and leaders of 49 pharmaceutical manufacturing organizations in Jordan to examine the effect of KM and its chosen variables, Organizational Culture, Leadership, Organizational Processes, Organization's Politics and Strategies, on delivering organization to performance excellence through the mediating role of technological vigilance. Results of the study indicate a positive influence of KM on delivering organization to excellence; this influence was attributed to mainly leadership as the basic driver. The results also indicate that technological vigilance mediates the relationship between knowledge management and delivering the organization to the state of performance excellence. Moreover, the study results indicate that KM enhances the organization's ability to retain and improve organizational performance and helps deliver it to excellence based on experience and knowledge. Knowledge management allows the institution to define the required knowledge, document, develop, share, apply and evaluate this knowledge and it is an approach for excellent performance. Study recommends increasing efforts towards providing the requirements of applying knowledge management, and the need for organizational structures to be horizontal and flexible, and there must be conscious and eager leadership to apply knowledge management and encourage the exchange of information, and the need for organizational culture to be conducive to the application of knowledge.
Multi-Attribute Fuzzy Evaluation of the Teaching Quality of Dancesport Major

The teaching quality of dancesport is affected by multiple factors. Facing uncertain information, there is not yet a perfect indicator system to evaluate the teaching quality of dancesport. This paper attempts to develop a multi-attribute fuzzy evaluation model for dancesport teaching quality. Firstly, the connotations of dancesport teaching quality were identified through theoretical analysis. Next, the evaluation indicator system for dancesport teaching quality was improved based on the connotations. After that, a multi-attribute fuzzy evaluation model was established, drawing on fuzzy theory and grey system theory. Finally, several suggestions were presented to improve the teaching quality of dancesport. The research results provide an effective way to accurately measure dancesport teaching quality.
The Effectiveness of Public Speaking Learning Media Based on Digital Multimodal in Indonesian Language Courses at Politeknik Pariwisata Medan

Digital media or often referred to as new media (new digital media) is an electronic media stored in digital format (as opposed to analog format) which can be used as storage, transmit, and receive digitalized information. Digital media is the internet-based media using computers and sophisticated mobile phones. Digital media as internet-based media has the characteristics of (1) computer-based technology; (2) its characteristics are hybrid, not dedicated, flexible; (3) interactive potential; (4) public and private functions; (5) non-strict regulations; (6) interrelation; (7) ubiquitous / independent of location; (8) can be accessed by individuals as communicators. (4) public and private functions; (5) non-strict regulations; (6) interrelation; (7) ubiquitous / independent of location; (8) can be accessed by individuals as communicators. (4) public and private functions; (5) non-strict regulations; (6) interrelation; (7) ubiquitous / independent of location; (8) can be accessed by individuals as communicators. This development research will be carried out at the Medan Tourism Polytechnic which is located at Jalan Rumah Sakit Haji No. 12, Kenanga Baru, Percut Sei Tuan District, and Deliserdang Regency. This Polytechnic has seven Study Programs, namely one Diploma 4 (D-4) Study Program and six Diploma 3 (D-3) Study Programs. The seven study programs are (1) D-4 Hospitality Management, (2) D-3 Room Division Management, (3) D-3 Food Management Management, (4) D-3 Catering Management, (5) D-3 Patiseri Management, (6) Tourism Planning and Marketing Management, and (7) D-3 Travel Tour. This digital multimodal-based public speaking learning media is very effective to use to improve learning outcomes. The learning outcomes after applying this product were at an average of 89.68%, meanwhile the learning outcomes before the application of learning media were at an average (55.93%).