Reviewerly/exHarmony huggingface dataset:
Distributed Multi-objective Particle Swarm Optimization using Time-delayed Virtual Global Best Method

To reduce the computational cost of particle swarm optimization (PSO) methods, research has begun on the use of Graphics Processing Units (GPUs) to achieve faster processing speeds. However, since PSO methods search based on a global best value, they are hampered by the frequent need for communication with global memory. Even using a standard PSO that uses a local best value does not solve this problem. In this paper, we propose a virtual global best method that speeds up computations by defining a time-delayed global best as a virtual global best in order to reduce the frequency of communication with low-speed global memory. We also propose a method that combines decomposition-based multi-objective PSO (MOPSO/D) with a virtual global best method to speed up multi-objective particle swarm optimization by running it in parallel while maintaining search accuracy, and we demonstrate the effectiveness of this approach by using a number of unimodal/multimodal single objective benchmark test functions and three classical benchmark test functions with two objectives.
Repetitive head impact exposure and sensory reweighting for upright stance

ObjectiveEvaluate the efficacy and safety of non-invasive vagus nerve stimulation (nVNS) for the treatment of post-traumatic headache (PTH). BackgroundWorldwide, ;69 million people per year sustain a traumatic brain injury (TBI), many of whom develop PTH.Clinicians often treat PTH with drugs approved for primary headache disorders, and many patients selftreat with over-the-counter agents but have inadequate pain relief.There has been little study of therapies for PTH, and safe, effective treatments are needed. Design/MethodsThis randomized, double-blind, sham-controlled, parallel-group pilot study is enrolling adults who present 1-4 weeks after a head injury, meet International Classification of Headache Disorders 3 rd edition (ICHD-3) criteria for acute headache attributed to mild TBI, and have ≥2 headaches/ week with a migraine or probable migraine phenotype.After a 2-week runin period, subjects are randomly assigned (1:1 allocation) to receive daily preventive therapy and as-needed acute treatment with nVNS or a sham device.Preventive therapy consists of two 120-second stimulations 3 times daily.Acute treatment comprises 2 stimulations at headache onset and 2 stimulations 20 minutes after the start of initial treatment.Subjects are not to use acute rescue medication for 120 minutes post-treatment.One North American site will enroll ≤80 subjects.The expected duration is 12 months (enrollment, 9 months; participation, 14 weeks). ResultsThe primary effectiveness end point is decrease in pain (on a 7-point scale) 60 minutes post-treatment for all treated headache attacks.Secondary end points include decrease in the frequency of headache days between the run-in period and the last 2 weeks of the double-blind period and responder rates (ie, percentages of subjects with ≥50% decrease in attack frequency).The primary safety end point is the incidence of treatment-related serious adverse events. ConclusionsThis study will assess the efficacy and safety of nVNS as a novel therapy for PTH.
A Combination between Textual and Visual Modalities for Knowledge Extraction of Movie Documents

In view of the proliferation of audiovisual documents and the indexing limits mentioned in the literature, the progress of a new solution requires a better description extracted from the content. In this paper, we propose an approach to improve the description of the cinematic audiovisual documents. However, this consists not only in extracting the knowledge meaning conveyed in the content but also combining textual and visual modalities. In fact, the semiotic desription represents important information from the content. We propose in this paper an approach based on the use of pre and post production film documents. Consequently, we concentrate efforts to extract some descriptions about the use not only of the probalistic Latent Dirichlet Allocation (LDA) model but also of the semantic ontology LSCOM. Finally, a process of identifying a description is highlighted. In fact, the experimental results confirmed the importance of the performance of our approach through the comparison of our result with a human jugment and a semi-automatic method by using the MovieLens dataset.
X' Marks the Spot: Transferring Dig Site Coordinates from Maps to Google Earth

Dinosaur Provincial Park has been a popular site for palaeontological digs for many years. Over time, the many quarries and bone beds uncovered have had their locations marked on large paper topography maps. Unfortunately, many dig sites have been lost due to poor documentation. Some sites have been abandoned for years. The high erosion levels of the park (2 – 4 mm yearly) continually both destroys dig sites and uncovers new fossils. To help recover old, unused dig sites, the coordinates of the sites marked on the old paper maps were uploaded to Google Earth Pro for easy access. Unfortunately, the points had to first be transferred to clear mylar maps, because the original paper maps lacked longitude and latitude measurements. This was accomplished by matching the topography when the scale of the maps differed, and by overlaying the clear maps on the paper maps when they did not. The distance of each point from a line of longitude or latitude was found using a ruler (each mm measured on the map representing 10 m in the park) and used to calculate their coordinates. After the coordinates were found, they were recorded in a Google SpreadSheet. Once this was completed for all 462 points, they were uploaded to Google Earth Pro. The purpose of this project was to provide more easily accessible records of dig sites and prevent further record loss as the old paper maps age and their condition deteriorates. The massive paper maps are unwieldy and impractical to use in the field, and something more compact is needed. Google Earth is easily accessed on a computer or cell phone, and the points will not be lost due to physical damage, degradation, or misplacement of the records. In addition, it takes up far less space in digital form, and thus is better for field work than the original maps.
Assisted Composition of Linked Data Queries

Much research has been undertaken to facilitate the construction of SPARQL queries, while other research has attempted to facilitate the construction of the RDF dataset schema to understand the structure of RDF datasets. However, there is no effective approach that brings together these two complementary objectives. This work is an effort in this direction. We propose an approach that allows assisted SPARQL query composition. Linked data interrogation is not only difficult because it requires mastering a query language such as SPARQL, but mainly because RDF datasets do not have an explicit schema as what you can expect in relational databases. This paper provides two complimentary solutions: synthesis of an interrogation-oriented schema and a form-based RDF Query construction tool, name EXPLO-RDF.
METHODICAL SPECIFICS OF CONTEMPORARY TEXTBOOK IN THE DISCIPLINE “FOREIGN LANGUAGE FOR ACADEMIC RESEARCH”

Ural Federal University defined project-based learning as one of its core activities. The University centers on the multi-disciplinary projects, as the university graduates should be ready to implement projects, including international ones, in various spheres in collaboration with specialists from various subject areas. Therefore, a specialized textbook is required which could meet the learning goals and demands of the students, foreign language teachers, and managers of various educational programs. The authors carried out theoretical research of principles used to create a contemporary textbook. The principle of formation of competencies, awareness, and activity is identified as the core principle. The paper outlines the didactic requirements to a contemporary study guide, which include conformity of pedagogical process with the demands of modern life, training purposefulness, and focus on a student and motivation. The application of information and communication technologies in the educational process is specified as one of the essential requirements. The authors give a detailed description of “How to Master Scientific Skills in English” textbook designed for teaching foreign language for academic research. This study guide is aimed at formation and development of all types of speech activity (reading, speaking, writing, and listening comprehension) in a foreign language and academic research skills when implementing the project-based activity in various spheres. The results of the research include the assessment of the textbook both by the teachers and the students of the Engineering School of Information Technologies, Telecommunications and Control Systems of Ural Federal University.
Mathematical education mediated by digital technologies: the use of computer programming as a pedagogical strategy

This work relates to Mathematics Education mediated by digital technologies and is part of an on-going PhD project conducted by the Digital Culture Research Group of the University of Passo Fundo, Brazil.It aims to reflect on the use of computer programming in the teaching and learning of Mathematics.The theoretical frame of the investigation is in Gerard Vergnaud's Theory of Conceptual Fields and in elements of the constructionist theory of Seymour Papert.The current research is qualitative with an empirical study.Based on the preliminary results, which point to the potential of the act of programming for the recognition of operative invariants, it is intended to broaden the theoretical reference and to replicate the empirical study based on the constitution of a pedagogical strategy based on the Theory of Learning Styles.
Speeding Up Evaluation of Structures for the Angry Birds Game

In this work, we present an original method based on evolutionary algorithms for generating basic structures for the physics-based game Angry Birds, with the ultimate objective of creating Angry Birds levels with the minimum number of constraints. We set out to evolve free-form structures, and this means searching in a larger space. In this paper, we test how using a physics engine enables us to evaluate much more levels than a game engine simulation. In order to do this, we compare the results of experiments using both types of simulators and propose fitness functions accordingly. Results show the execution time drastically drops from 5 hours to less than 20 minutes on average.
Experiences and Perceptions of Team Members in IEP Operation and Support Needs

The purpose of this study is to examine the perceptions of the Individualized Education Plan (IEP) they are experiencing, focusing on the parents, early childhood special education teacher, and related service personnel who operate the IEP. This study suggests implications for the direction of the practical IEP. For this purpose, 12 focus group interviews were conducted with parents, early childhood special education teacher, and related service personnel. The collected data were analyzed using the constant comparative method. The study found that there were three main themes, with 17 sub-themes and 57 contents: 1) Experience in implementing IEP, 2) Difficulty of collaboration in implementing IEP, and 3) Improvement of IEP. Parents demanded the improvement of the perception of the administrators and the general education teacher. The early childhood special education teacher wanted a flexible attitude and practical and continuous information system from the relevant experts for the reorganization and collaboration for securing the justification of the IEP in the education field. The related service personnel also emphasized the need for a wide range of support from specialists who can apply special education related services to special education services.
A Study on Verb-Particle Combination Power: A Corpus-based Analysis

The first purpose of this paper is to investigate the combination forms of verbs and particles as they appear in phrasal verbs based on the BNC (British National Corpus) and to determine which verbs and particles are used frequently in such a combination. The aim is to find out which verbs combine more frequently with particles to produce phrasal verbs and, conversely, which particles combine more frequently with verbs to do the same. The second purpose is to identify how many inserted words are allowed in phrasal verbs by counting the number of words inserted between a verb and a particle that make up a phrasal verb. In phrasal verbs with idiomatic meanings, inserted words between a verb and a particle are very restricted. The number of inserted words can be used as a measure for inferring whether the preposition is used as a phrasal verb or not. This study shows that verbs and particles that are used idiomatically as in phrasal verbs have a limited number of inserted words between them and that the number of inserted words can be measured.
Towards a Usable Ontology for the Quantum World

We present and discuss selected issues related to the problem of representing in a machine-readable way data and knowledge about the quantum level of reality. In particular, we propose a method of creating an ontology for the quantum world. The method uses a mathematical structure of quantum mechanics. We apply the method to obtain a toy ontology corresponding to the Hilbert space formulation of quantum mechanics. We use the terms from the ontology to describe a simple quantum system. We also show how we can use the ontology to create semantic enhancements of scientific publications on quantum mechanics.
Tuning Parameters of Differential Evolution: Self-adaptation, Parallel Islands, or Co-operation

In this paper, we raise a question of tuning parameters of Evolutionary Algorithms (EAs) and consider three alternative approaches to tackle this problem. Since many different self-adaptive EAs have been proposed so far, it has led to another problem of choice. Self-adaptive modifications usually demonstrate different effectiveness on the set of test functions, therefore, an arbitrary choice of it may result in the poor performance. Moreover, self-adaptive EAs often have some other tuned parameters such as thresholds to switch between different types of genetic operators. On the other hand, nowadays, computing power allows testing several EAs with different settings in parallel. In this study, we show that running parallel islands of a conventional Differential Evolution (DE) algorithm with different CR and F enables us to find its variants that outperform advanced self-adaptive DEs. Finally, introducing interactions among parallel islands, i.e. exchanging the best solutions, helps to gain the higher performance, compared to the best DE island working in an isolated way. Thus, when it is hard to choose one particular self-adaptive algorithm from all existing modifications proposed so far, the co-operation of conventional EAs might be a good alternative to advanced self-adaptive EAs.
High quality photon pair generation with on-chip filtering

The combination of quantum optics and integrated photonics gives the ability of manipulating, generating, and detecting various quantum states on single chips. One of the major challenge is the on-chip rejection of the pump which contaminate the quantum pair generated by non-linear process. We demonstrated the integration on a single silicon chip a photon-pair generator. The production simultaneously of multiplexed pairs with near-perfect quality was achieved using a ring resonator cavity and a cascaded multimode filter. This new type pump-rejection filter shows a large pump suppression (&gt; 60dB) without any active tuning. All wavelengths are compatible with the ITU channels and with telecom components.
COAR 2019 Working together to make ORCID work for repositories

Poster about the work and recommendations of the ORCID in Repositories Task Force conducted Aug 2018-Feb 2019. Presented at the 2019 Confederation of Open Access Repositories annual meeting, May 2019. https://www.coar-repositories.org/community/events/coar-annual-meeting-2019/
ShoCons: Effective Display of Shortcuts in Icon Toolbars

Users often do not use keyboard shortcuts in applications as recalling and choosing the correct shortcut is ahigher-order cognitive task. Mouse driven menus, toolbars, and icons are easier for a user to learn becausethey present hints and make visible what operations are possible, drawing on the power of recognition ratherthan recall. How can we better support the usage of shortcuts with such menus? Two existing methods are textin the icons, and popups with mouse hover. While the first is space inefficient; the second limits exposure andimposes an interaction cost. We propose a third method, ShoCons, that is spatially more efficient and neitherlimits user exposure nor imposes an interaction cost. To achieve this, ShoCons use a succinct iconic display ofmeta keys, limiting textual display to one character. We examine these alternatives in a controlled study, andfind that when used with a high-level task, ShoCons enable faster task performance and an immediate increasein the accuracy of shortcut use.
Two Approaches to Resource Allocation in Hybrid Fog and Cloud Systems

In this paper, two approaches to the hybrid fog and cloud computing environment are presented. The first is based on the assumption of centralized management performed by cloud, while the latter takes utilization of self-managing concept enabling distributed resource allocation carried by fogs. The appropriate mathematical models are introduced and the optimization problems are formulated. While the first concept turned out to be the mixed nonlinear programming, the second may be interpreted as the noncooperative game. The ideas of the possible solutions are briefly suggested.
A Classification Method for Japanese Sentences based on the Difficulty Level of Emotion Estimation

The existing systems to emotions extract some emotions from the given sentences in any and all circumstances. However, there are many sentences whoever cannot emotional features. follows that the systems should not extract some emotions all the time. Systems should return It is difficult to estimate as we humans do so. This paper proposes a method to classify Japanese sentences based on the difficulty level of emotion estimation. Proposed system judges the difficulty level to emotions using three conditions (negative expressions, emotive expression, and machine-learned classifications). As a result, proposed system achieved 0.8 of F1 score based on mechanical evaluation.
Simultaneous Localization and Traversable Region Mapping Based on Pedestrian Behavior Learning

Abstract：In human-robot coexist environment, autonomous mobile robots must solve the problem of traversable region perception and self-positioning.Hence proposes an algorithm of simultaneous localization and traversable region mapping based on pedestrian behavior learning.The algorithm samples the traversable region in the unstructured road environment based on pedestrian behavior learning, and uses region growing algorithm to obtain connected traversable region.On simultaneously localization and mapping, visual SLAM technology is combined with the detected pedestrian information and traversable region information.The feature points on dynamic pedestrians are excluded in the matching process, and the constant speed model + DLT algorithm and greedy search + DLT are used to speed up the matching process and enhance the robustness.In the Bundle Adjustment optimization process, different weights are given to different feature points to further improve the accuracy.The detected traversable region information is then incrementally added into the point cloud map.Experiments show that in a complex unstructured road environment, the algorithm can achieve accurately self localization and obtain traversable region mapping on the mobile robot platform.
Primary School, School Of Possibilities

The author describes the potential that a modern primary school acquires to improve the quality of education at the first level of school education and to ensure significant results in the development of the younger schoolchild. The paper describes the values of primary education, taking into account the psychological ideas of constructing the didactic process; evaluates the components of the students readiness to interact with the outside world as a planned learning outcome. In the educational process, the most important components of the readiness of a growing student of a primary school for adaptation and successful existence in a changing world are of particular importance: intellectual readiness, communicative, social, activity, creative and emotional one. The author considers the ways of achieving the requirements of the Federal State Educational Standards for the development of a younger schoolchild: a new classification of lessons, ways to differentiate the learning process. The author suggests a new direction in the design of the didactic process in the primary school of the 21st century: the lessons types according to priority activity in which the student participates at this stage of education. The author distinguishes three major types of lessons in a modern primary school: sensory, research and explanatory types of lessons. The idea of individually differentiated education described in the paper is based on the specific pedagogical diagnostics.
The Large-Error Approximate Degree of AC 0 .

We prove two new results about the inability of low-degree polynomials to uniformly approximate constant-depth circuits, even to slightly-better-than-trivial error. First, we prove a tight Omega~(n^{1/2}) lower bound on the threshold degree of the SURJECTIVITY function on n variables. This matches the best known threshold degree bound for any AC^0 function, previously exhibited by a much more complicated circuit of larger depth (Sherstov, FOCS 2015). Our result also extends to a 2^{Omega~(n^{1/2})} lower bound on the sign-rank of an AC^0 function, improving on the previous best bound of 2^{Omega(n^{2/5})} (Bun and Thaler, ICALP 2016). Second, for any delta>0, we exhibit a function f : {-1,1}^n -> {-1,1} that is computed by a circuit of depth O(1/delta) and is hard to approximate by polynomials in the following sense: f cannot be uniformly approximated to error epsilon=1-2^{-Omega(n^{1-delta})}, even by polynomials of degree n^{1-delta}. Our recent prior work (Bun and Thaler, FOCS 2017) proved a similar lower bound, but which held only for error epsilon=1/3.Our result implies 2^{Omega(n^{1-delta})} lower bounds on the complexity of AC^0 under a variety of basic measures such as discrepancy, margin complexity, and threshold weight. This nearly matches the trivial upper bound of 2^{O(n)} that holds for every function. The previous best lower bound on AC^0 for these measures was 2^{Omega(n^{1/2})} (Sherstov, FOCS 2015). Additional applications in learning theory, communication complexity, and cryptography are described.
A Synergistic Approach to Enhance the Accuracy-interpretability Trade-off of the NECLASS Classifier for Skewed Data Distribution

NEFCLASS is a common example of a neuro-fuzzy system. The popular NEFCLASS classifier exhibits surprising behaviour when the feature values of the training and testing datasets exhibit significant skew. This paper presents a combined approach to improve the classification accuracy and interpretability of the NEFCLASS classifier, when data distribution exhibits positive skewness. The proposed model consists of two steps. Firstly, we used an alternative discretization method to initialize fuzzy sets. Secondly, we devised a statistical rule pruning algorithm based on adjusted residual to reduce the number of rules, thus improving interpretability. This method improves the interpretability of NEFCLASS without significant accuracy deterioration. Moreover, a hybrid approach combining the two approaches is developed to increase the accuracy-interpretability trade-off of NEFCLASS.