Reviewerly/exHarmony huggingface dataset:
Efficient Quantum State Preparation for the Cauchy Distribution Based on Piecewise Arithmetic

The benefits of the quantum Monte Carlo algorithm heavily rely on the efficiency of the superposition state preparation.So far, most reported Monte Carlo algorithms use the Grover-Rudolph state preparation method which is suitable for efficiently integrable distribution functions.Consequently, most reported works are based on log-concave distributions, such as normal distributions.However, non-logconcave distributions still have many uses, such as in financial modeling.Recently, a new method was proposed that does not need integration to calculate the rotation angle for state preparation.However, performing efficient state preparation is still difficult due to the high cost associated with high precision and low error in the calculation for the rotation angle.Many methods of quantum state preparation use polynomial Taylor approximations to reduce the computation cost.However, Taylor approximations do not work well with heavy-tailed distribution functions that are not bounded exponentially.In this work, we present a method of efficient state preparation for heavy-tailed distribution functions.Specifically, we present a quantum gate-level algorithm to prepare quantum superposition states based on the Cauchy distribution which is a non-log-concave heavy-tailed distribution.Our procedure relies on a piecewise polynomial function instead of a single Taylor approximation to reduce computational cost and increase accuracy.The Cauchy distribution is an even function, so the proposed piecewise polynomial contains only a quadratic term and a constant term to maintain the simplest approximation of an even function.Numerical analysis shows that the required number of subdomains increases linearly as the approximation error decreases exponentially.Furthermore, the computation complexity of the proposed algorithm is independent of the number of subdomains in the quantum implementation of the piecewise function due to quantum parallelism.An example of the proposed algorithm based on a simulation conducted in Qiskit is presented to demonstrate its capability to perform state preparation based on the Cauchy distribution.
THEORETICAL BASICS OF QUANTUM COMPUTATIONS

The paper includes basic information over the domain of quantum physics needed to understand basic principles of calculations and operations with the use of quantum computers. Questions of the unit of quantum information – qubit, and the Bloch’s zone are thoroughly explained. The paper is aimed to be an introduction into the world of quantum IT for persons beyond the quantum physics who want to use the quantum algorithms for their scientific researches.
Wasserstein Clustering based Video Anomaly Detection for Traffic Surveillance

Anomaly Detection is very important in present scenario with huge availability of data and enormous difficulty in extraction of meaningful information out of it. In this paper we present an approach for video anomaly detection based on trajectory features and spatio – temporal features. Clustering of spatio – temporal features and trajectory features are performed in Wasserstein metric space and cluster distance and span in Wasserstein metric space is exploited to perform anomaly detection. The Performance of the Anomaly detection with Wasserstein distance based K – means and Wasserstein distance based DBSCAN clustering of the 3D wavelet features and trajectory features was studied. The method is robust and suffers from fewer false alarms.
What's New Online

Although previous studies have documented declines in intake from sugar-sweetened beverages (SSB) in the United States, it is important to examine whether heavy SSB intake (≥500 kcal/day) is decreasing in parallel.This study provides the most recent national estimates for trends in heavy SSB intake among children and adults in the United States between 2003-2004 and 2015-2016, to examine whether these trends differ by sociodemographic characteristics, and to describe where SSB are acquired and consumed by the heaviest SSB consumers.
What’s Hidden in a One-layer Randomly Weighted Transformer?

We demonstrate that, hidden within one-layer randomly weighted neural networks, there exist subnetworks that can achieve impressive performance, without ever modifying the weight initializations, on machine translation tasks.To find subnetworks for onelayer randomly weighted neural networks, we apply different binary masks to the same weight matrix to generate different layers.Hidden within a one-layer randomly weighted Transformer, we find that subnetworks that can achieve 29.45/17.29 BLEU on IWSLT14/WMT14.Using a fixed pretrained embedding layer, the previously found subnetworks are smaller than, but can match 98%/92% (34.14/25.24BLEU) of the performance of, a trained Transformer small/base on IWSLT14/WMT14.Furthermore, we demonstrate the effectiveness of larger and deeper transformers in this setting, as well as the impact of different initialization methods. 1
Assessment of the potentials of solar energy and radiation at the Islamic University of Medina

The availability of radiation measurements is an essential factor in the evaluation of solar potential when a photovoltaic plant is to be installed. This paper addresses an assessment of the measurements and analysis of solar radiation in Medina, Saudi Arabia. The actual measurements are taken from a meteorological station located on the roof of the Engineering laboratory building at the Islamic University in Medina, KSA. The obtained results are satisfactory and prove the reliability of the constructed numerical models.
DESIGN OF WEB-BASED UYU STORE ATTENDANCE INFORMATION SYSTEM USING COLORING METHOD

Attendance in the world of work is sometimes still done manually. At the Uyu shop, there are still problems that occur in recording and making attendance reports manually, such as mistakes in biodata, forgetting to record the date. Because the Uyu store still doesn't use a computerized employee or staff absence information system in managing data, so the information that can be processed is quite long and storage is not guaranteed safe. The purpose of this researcher is to create an information system that can manage attendance data for employees who work at the computerized Uyu Store and also implement a coloring method on attendance reports that generate reports based on the attendance coloring method according to employee attendance hours that are easy to understand. This method uses the coloring method as a solution to solving problems that can be solved in the greedy method, namely the color problem and the waterfall model as a system development process that uses UML design. The result of this research is that the system can operate attendance data collection as well as report employee data more efficiently and integrated.
Algorithm of Assessment System in MOOCs Learning: Literature Review

Assessment of learners in the MOOCs online learning platform creates problems for teachers in using appropriate assessment strategies.The change from the traditional face-to-face learning model to the MOOCs online learning model does not necessarily apply traditional classroom assessment strategies to online classes.The traditional and online classroom assessment strategies are far different, teachers and participants do not meet face-to-face and do not know each other physically.The algorithm has a very important role in automating the assessment in accordance with the assessment strategy that is in accordance with the characteristics of online learning MOOCs.The purpose of this study is to identify the use of this type of algorithm in supporting the assessment strategy in the MOOCs system.The method used in this study is through a literature study using the Scopus and sciendirect database sources published between January 2013 to May 2021.The results show that formative and summative assessments are carried out automatically using algorithms classified as artificial intelligence.This can be used as a reference for the development of learning and assessment of adaptive MOOCs in accordance with the characteristics and learning objectives of the course.
Availability of Adaptive, Fairly-Available Units for the Univac Computer

The programmed proclivity of spreadsheets and 802.11b has actinic get fitting of access to components, and dog rent inclinations messenger that the choice of back-up will anon develop. In reality, few digital informaticians could differ with the engineering of courseware [10]. We appearance no best that the a plentiful arrangement touted all-over calculation for the recreation of expansive area organizes through Bhabha et al. [18] is recursively enumerable, yet that the indistinguishable is total for on-line calculations
METHODS OF KINEMATIC SYNTHESIS OF MANIPULATOR-TRIPOD CONTROL ALGORITHMS

The article presents the results of calculation of two methods of synthesis of algorithms for program movements of Executive mechanisms that ensure the implementation of the required trajectories and laws of movement of the manipulator's working body, and positioning of the object of manipulation in three-dimensional space.The results of calculations showed advantages and disadvantages of both methods.However, it is recommended to apply a method of quadratic approximation point for the organization of a control system with feedback for speed.
Management consulting in the system of continuing professional education

The article reveals the features of continuing professional education as an important element of the organizational structure of the existing education system in Russia. Continuing professional education as an object that has its own organizational structure appears as a carrier of the need for effective management, in the rationalization of the process of forming various management decisions. In general, the management of the system of continuing professional education in our country should be considered successful, but some management problems remain unresolved. One of them is the problem of increasing the level of validity of management decisions: strategic, tactical, operational, improving the quality, reliability and degree of their compliance with the real conditions of the system of continuing professional education. As part of the solution to these problems, the necessity of introducing management consulting tools into the management of continuing professional education organizations is substantiated. The features of management consulting, its methodology and methods are considered. The concept of "combined consulting" in the field of continuing professional education is introduced. It is shown that consulting, as professional assistance in solving key problems and achieving sustainable success in the activities of organizations of the system of continuing professional education, is a management reserve, the rational use of which will ensure the formation of an innovative process, which is the most important factor in the strategic adaptation of the system of continuing professional education in a dynamically developing external environment.
RANCANG BANGUN SISTEM RAPORT DIGITAL BERBASIS JAVA (D-RAPORT) DI SDN SUKATANI 03 DEPOK

Administration of academic activities at SDN Sukatani still uses a manual process. This can allow academic files to be lost, damaged and even a buildup of documents so that the search for documents for a number of students will be ineffective and inefficient. Therefore, there is a need for a system that can facilitate academic services. This study aims to design a Java-based Digital Report Card (d-Raport) system at SDN Sukatani 03 Depok. The method used in the design of the system is the waterfall method. The stages of this method, namely analysis, design, implementation, and testing. This system is built based on the desktop with the Java programming language. This system produces a student report card score module, a student attendance data module, a student savings data module, and a library book borrowing data module. This system is useful for SDN Sukatani in academic administration management.
Digital tools to foster the development of communication competencies in media education

The article discusses the main functions of a professional involved in information processing. In particular, it focuses on journalists as well as PR and advertising officers whose job evolves around information processing as part and parcel of ongoing digital transformation of society. The article argues for the replacement of humans with machine tools for certain tasks of information processing. It also shows those functional roles where, in the near future, the replacement is impossible. Creative human labor is becoming more routine in the field of analysis and transmission of information. This trend is reflected in educational practices used to train industry professionals. In particular, the trend manifests itself at the faculties of media education as a set of competencies seen as an outcome of higher education. It is shown that in digital society cognition is based on the assimilation of numerous sources of information. In particular, the systems of image and sound recognition as well as the recognition of their dynamic changes will gradually be able to support humans in data collection and information analysis. However, digital (machine) assistants will fail to replace humans in some of the key functions. This encourages us to focus professional training on competencies that are complex and human-centered in nature. For example, only a human author can create an interesting text, an attractive picture, a viral clip, etc. In particular, we need to pay more attention to the two key specific communicative competencies: first, the ability to make value judgments, set goals and determine the hierarchy in multi-criteria models; second, the competency and commitment to transfer knowledge and share vision to involve new users (listeners, viewers, readers, followers) in communication networks through the use of digital technologies.
Multiscale Deep Network with Centerness-Aware Loss for Salient Object Detection

Deep encoder-decoder networks have been adopted for saliency detection and achieved state-of-the-art performance. However, most existing saliency models usually fail to detect very small salient objects. In this paper, we propose a multitask architecture, M2Net, and a novel centerness-aware loss for salient object detection. The proposed M2Net aims to solve saliency prediction and centerness prediction simultaneously. Specifically, the network architecture is composed of a bottom-up encoder module, top-down decoder module, and centerness prediction module. In addition, different from binary cross entropy, the proposed centerness-aware loss can guide the proposed M2Net to uniformly highlight the entire salient regions with well-defined object boundaries. Experimental results on five benchmark saliency datasets demonstrate that M2Net outperforms state-of-the-art methods on different evaluation metrics.
Three scenarios for the general education development and digital transformation

The digital transformation is described as an integral part of the education system development that can rollouts according to three groups of different scenarios.The scenarios of each group are based on the widespread use of digital technologies; however, the technological solutions needed inside each of them are different.Some directions for further research to track the real development of the digital transformation of education and to provide a basis to manage this process are proposed.
Virtual realism, information ontology of consciousness and structural realism in the philosophy of David Chalmers

The article presents the main provisions of the theory of virtual realism, described by the contemporary analytical philosopher David Chalmers in his recent articles. In contrast to the proponents of “virtual fictionalism”, who believe that virtual objects are fictional and illusory, the philosopher defends the position that such objects can be regarded as having the same causal and functional qualities as the physical objects familiar to us. Using the concept of “digital object”, Chalmers demonstrates that all the components of a virtual space are nothing more than data structures which have certain virtual properties. Based on the concepts of non-reductive functionalism and minimal computationalism, the philosopher also discusses the status of phenomenal consciousness in virtual worlds, which, in his opinion, can be interpreted in the spirit of epiphenomenalism, computation­alism or Cartesian dualism. The article also presents Chalmers’ well-known argument against the hypothesis of global skepticism, based on the theory of conceptual structural realism: the philosopher believes that there are such natural properties and relations that stand in certain nomic and causal connections with each other and with our experience. It follows that even if the simulation hypothesis is correct, we can count on the truth of some of our scientific theories, which are positive structural statements. The above con­siderations are intended to form the basis of a consistent theory of virtual worlds and in­formational spaces, which the philosopher is currently working on.
Curating the Twitter Election Integrity Datasets for Better Online Troll Characterization

▶ In modern days, social media platforms provide accessible channels for interaction and immediate reflection of the most important events happening around the world.▶ In this paper, we, firstly, present a curated set of datasets whose origin stem from the Twitter's Information Operations efforts.▶ Secondly, we analyze how troll activity fluctuates over time, and how it compares to a control group of real and active users.▶ We present baselines for such tasks and highlight the differences there may exist within the literature (e.g.[2]).▶ Finally, we utilize the representations learned for behaviour prediction to classify trolls from "real" users, using a sample of non-suspended active accounts.
ANALYSIS OF TEST TASKS FOR ASSESSMENT OF GENERAL PEDAGOGICAL COMPETENCE OF TEACHERS IN THE CONDITIONS OF THE POSTGRADUATE PEDAGOGICAL EDUCATION BY MEANS IRT

The article is devoted to the analysis of test tasks designed to assess the general pedagogical competence of teachers in postgraduate pedagogical education, and their main characteristics by means of modern testing theory. Designed tests for the start and final assessment are one of the effective, objective and reliable tools for assessing the level of general pedagogical competence of teachers in the context of postgraduate pedagogical education. During the approbation, significant statistical material was accumulated, the mathematical and statistical processing of which by means of modern IRT testing theory made it possible to determine estimates of latent parameters of subjects and parameters of test tasks by applying classical measurement models. Due to the invariance property of the IRT mathematical apparatus, the performed calculations ensure the objectivity of the assessment of the level of training of each student, which does not depend on the difficulty of the test tasks. This made it possible to correctly compare the test results of teachers who performed test tasks of different difficulty. The estimates of the difficulty of the test items obtained by the algorithm are also invariant with respect to the level of pedagogical training of applicants for education in the tested group. The characteristic curves of the difficulty level of the test tasks and the level of training of the test participants were constructed using the Rush model. The analysis of their mutual arrangement made it possible to identify the ways of further improvement of the test, create parallel tests, form a system of tasks that are most effective for assessing the level of pedagogical training of each applicant for education. When designing the test, it should be borne in mind that the proposed tasks should be different in content, form and complexity, then the designed test will carry more information about the subjects and will be suitable for assessing the level of general pedagogical competence of teachers in postgraduate pedagogical education. The testing of teachers of different specialties made it possible to check the quality of the developed test tasks and to establish the level of general pedagogical competence of the tested teachers in the conditions of postgraduate pedagogical education. Calibrated test items were entered in the bank of tasks on pedagogy and were used in the educational process.
Any-time randomized kinodynamic path planning algorithm in dynamic environments with application to quadrotor

Kinodynamic path planning is an open challenge in unmanned autonomous vehicles and is considered an NP-Hard problem. Planning a feasible path for vertical take-off and landing quadrotor (VTOL-Q) from an initial state to a target state in 3D space by considering the environmental constraints such as moving obstacles avoidance and non-holonomic constraints such as hard bounds of VTOL-Q is the key motivation of this study. To this end, let us propose the any-time randomized kinodynamic (ATRK) path-planning algorithm applicable in the VTOL-Q. ATRK path-planning algorithm is based on the Rapidly-exploring random trees (RRT) and consists of three main components: high-level, mid-level, and low-level controller. The high-level controller utilizes a randomized sampling-based approach to generate offspring vertices for rapid exploring and expanding in the configuration space. The mid-level controller uses the any-time method to avoid collision with moving obstacles. The low-level controller with a six-DOF dynamic model accounts for the kinodynamic constraints of VTOL-Q in the randomized offspring vertices to plan a feasible path. Simulation results on three different test-scenario demonstrate the kinodynamic constraints of the VTOL-Q are integrated into the randomized offspring vertices. Also, in presence of moving obstacles, the ATRK re-plans the path in the local area as through an any-time approach.
Pedagogical liberalism

This paper deals with the characteristics of the modern pedagogical paradigm, especially that of early and preschool education which emerged in the social context of liberal ideology. In order to better understand the educational model it promotes, the introductory part of the paper discusses the basic principles and starting points of the liberal social concept. The paper problematizes the diversity of the liberal conception of upbringing and education in relation to advocacy of the socialist social concept. The concept of self-regulated learning in the context of upbringing and education of an early and preschool child is observed. Common syntagms of the modern educational paradigm related to early and preschool education, such as the one about space as a third educator, are problematized. In this context, it is considered who or what constitutes basic pedagogical capital. The role of educators in the educational process, as well as the importance of adults in education in general are considered, and from this position the process of self-regulated learning is observed. The importance of self- observation in the current educational paradigm and recognition of the need for its ideological improvement in order to adequately contribute to children's upbringing and education is pointed out.
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