Reviewerly/exHarmony huggingface dataset:
Comparison of sample preparation techniques and matrix effects correction methods for X-ray fluorescence determination of total iron and rock-forming elements in iron ores

The genesis of deposits determines wide variations in the mineral and chemical composition of iron ores. It is necessary to determine the content of not only the main ore element (Fe), but also the main rock-forming elements, especially those that affect the quality of the product obtained from the ore (for example, P and Mn). When determining Fe, Mg, Al, Si, P, Ca, Ti, and Mn in iron ores by wavelength-dispersive X-ray fluorescence analysis, two common sample preparation techniques were compared: pressing powder samples on a boric acid substrate and homogenization of calcined sample by fusion with lithium tetraborate. For each method, the repeatability of the measurement of analytical lines was evaluated, calibration equations were constructed using certified reference materials of iron ores of various types and two methods for matrix effects correction (fundamental parameters and empirical intensities) were compared. Iron ores samples from the Korshunovskoye, Rudnogorskoye and Tatyaninskoye deposits of the Angarsk ore province (north of the Irkutsk region and southeast of the Krasnoyarsk Krai) were analyzed by the certified atomic absorption and spectrophotometric techniques, and the results were compared with those obtained by X-ray fluorescence analysis. For the main ore element (Fe) and some rock-forming elements (Mg, Al, Si, P) determination, the fusion technique provided a smaller error, however, both techniques could be used to determine Ca, Ti, and Mn. The choice of the sample preparation technique for wavelength-dispersive X-ray fluorescence analysis of iron ores should be based on the appropriateness of the financial and labor costs and the necessary accuracy of the analysis. Keywords : wavelength-dispersive X-ray fluorescence analysis, iron ores, rock-forming elements, borate glasses, matrix effects correction DOI: http://dx.doi.org/10.15826/analitika.2020.24.2.005 Victor M. Chubarov 1 , Elena I. Borkhonova 2 , Alena A. Amosova 1 1 Vinogradov Institute of Geochemistry, SB RAS, 1 А Favorsky st., Irkutsk 664033, Russian Federation 2 Irkutsk State University, 1 Karl Marx st., Irkutsk 664003, Russian Federation
Mobile robot navigation based on line landmarks using the Braitenberg controller and image processing

Line following and lane tracking are robotic navigation techniques that use lines as a guide. The techniques can be applied to mobile robots in the industry. This research applied the Braitenberg controller and image processing to control and obtain line information around the mobile robot. The robot was implemented using Arduino Uno as a controller. A webcam was connected to a computer that performs image processing using canny edge detection and sends the data to the robot controller via serial communication. The robot can navigate on the side of the line, and the success rate of the system is 100 % at a turn of 135 ° and 80 % at a turn of 90 °.
Senior Tourists’ Perceptions of Tactile Paving at Bus Stops and in the Surrounding Environment: Lessons Learned from Project ACCES4ALL

Universal design regarding accessibility to public transport is fundamental to increase the independence of the elderly and people with disabilities.This can be achieved by developing pedestrian infrastructures that provide safe/secure spaces for walking, modal interfaces and transport waiting areas.Tactile paving surfaces have been implemented to guide and inform people with visual impairments about the infrastructure they are using, which increase their autonomy, mobility, confidence, and safety.This research aims to analyse the perspective of elderly tourists regarding tactile pavements.A questionnaire was developed for senior tourists (60+ years old) about their mobility and perceptions of bus stop environments in the countries where they reside.Findings indicate a decrease in the perceived importance of tactile pavement in elderly tourists (aged 80+), female tourists, and older tourists with disabilities.The use of tactile paving surfaces is essential; however, it is important to minimize any adverse impact or discomfort of these surfaces.Warnings on pavements and guide patterns should be constructed of truncated cones and flat-topped elongated bars, respectively, and the height of the pavement cannot be greater than 4 mm.Installations must have correct/simple configurations and be regularly maintained.Findings will influence the design of an age-friendly bus stop.
POLITICAL SENTIMENT ANALYSIS ON DELHI USING MACHINE LEARNING

In this paper, we show that the power function of sub E-function f n (x) is sub E-function.Furthermore, we establish some new integral inequalities of Hadamard type involving sub E-functions and concave E-functions.
Predictive Analytics to Prevent Voice over IP International Revenue Sharing Fraud

International Revenue Sharing Fraud (IRSF) is the most persistent type of fraud in the telco industry. Hackers try to gain access to an operator's network in order to make expensive unauthorized phone calls on behalf of someone else. This results in massive phone bills that victims have to pay while number owners earn the money. Current anti-fraud solutions enable the detection of IRSF afterwards by detecting deviations in the overall caller's expenses and block phone devices to prevent attack escalation. These solutions suffer from two main drawbacks: (i) they act only when financial damage is done and (ii) they offer no protection against future attacks. In this paper, we demonstrate how unsupervised machine learning can be used to discover fraudulent calls at the moment of their establishment, thereby preventing IRSF from happening. Specifically, we investigate the use of Isolation Forests for the detection of frauds before calls are initiated and compare the results to an existing industrial post-mortem anti-fraud solution.
PoseNet Based Acupoint Recognition of Blind Massage Robot

In allusion to the current common acupoint recognition is based on the edge extraction of neural network, which is affected by too many factors of human, there are certain interferences and errors in finding acupoints. This paper put forward a novel method combining posture tracking algorithm with proportional bone measurement, which can fully fit the skeleton of human body to provide a new idea for acupoint recognition of massage robot, and improve its accuracy and efficiency. The above method is simulated in Python to realize the function of massage robot to find acupoints automatically. The result shows that it takes less time to find more accurate and more quantities acupoints.
The Creation of Teaching Aids for Disabled Students as Mathematical-Thinking-Imaginative Product

Children with Disabilities (CwD) have the same rights to get a fundamental education.Thus, it is necessary the teaching aids for CwD as a mathematicalthinking-imaginative product to achieve joyful learning.This research problem is: How are the designs and results of the application of the teaching aids for CwD in joyful learning as a form of imaginative growth in mathematical thinking?The objectives of this research: (1) To foster imaginative mathematical thinking of students of Mathematics Education (2) To test whether the design of teaching aids is suitable for CwDs in ES. (3) to test whether the use of teaching aids produced can improve CwD learning outcomes in an Joyful Learning atmosphere.This mean research activities are: (1) students of Mathematics Education of UNNES design and make teaching aids for CwD; (2) apply teaching aids made at Extraordinary School (ES).The main conclusion are: (1) Imaginative in mathematical thinking of Mathematics Education students began to grow.(2) The teaching aids has been proven suitable for CwD in ES. (3) The teaching aids that are produced as evidence of the imaginative growth of students' mathematical thinking in helping Joyful Learning at ES.
Human Resource Management Practices and Job Satisfaction among Courier Service Provider Employees

This paper intends to study the relationship between human resource management (HRM) practices (training, supervisory communication, and compensation and benefits) and job satisfaction among employees in the courier service provider. Questionnaires were distributed to employees of the courier service provider. A total of 110 useable were returned which yielding a response rate of 92 percent. Results showed that supervisory communication is significantly positively related to job satisfaction. However, there was no significant relationship found between training and job satisfaction, as well as compensation and benefits with job satisfaction. Hence, only one hypothesis out of three was supported. This study shed some lights to the supervisor to communicate effectively to their subordinates. In conclusion, this study contributes to the growing importance of the HRM practices in affecting job satisfaction among the employees of the courier service provider.
Development of Research e-Infrastructure in Ukraine: Creation of the National Repository of Academic Texts

Issues of developing e-infrastructures and research data storages are investigated in the context of digitalization processes. The present-day scientific literature has great many publications on technical, legal and organizational issues of repository creation, reviews of relevant practices in various countries, descriptions of new services, assessment of the open access effectiveness etc. However, scientific, methodological and practical aspects of creating the national Ukrainian archive of scientific and education information are for the most part overlooked. The article proposes a review of crucial components in the e-infrastructure of EU like EOSC and OpenAIRE, with outlining their objectives, general characteristics and phases of creation. It is important because the course on integration in the European Union, formulated in the strategic documents of Ukraine, involves the development of the Ukrainian eco-system of research, education and innovation in compliance with the European standards. A brief review of data about the performance and dynamics of repositories across the world is made with emphasis on their structure, country of location, software and sectoral profile. Data on the number of institutional repositories in Ukraine and their availability in domestic higher education establishments are presented. The need for developing a system of information repositories and creating the National Repository of Academic Texts is justified in view of the data demonstrating the existing research and education capacities in Ukraine. The key characteristics of the National Repository are described: its contents, functionality, goal, objectives, structure, phases of creation, development prospects. Their relevance to the tasks set in the Action Program of the Cabinet of Ministers of Ukraine on line of the objectives 1.4 and 1.5 of the Ministry for Education and Sciences of Ukraine is shown.&#x0D; NRAT has to be a really demanded and very useful resource capable of making the research sector transparent and accessible, notably accelerating exchange of research and education information, stimulating scientific progress and innovation activity in Ukraine. This will make the research financing more effective.
HUMAN MOVEMENT DETECTION DENGAN ACCUMULATIVE DIFFERENCES IMAGE

Based on police data quoted from one of the online news portal pages, there are 43,842 thousand criminal acts in the The Capital City of Jakarta. Of all these criminal cases burglary empty houses included in the top three acts of crime. Houses that are abandoned by their owners are often targeted by crime operations due to lack of close supervision and security support technology. The purpose of this study is to detect human motion which can later be used to prevent crime in the form of theft. Another purpose of this research is to find out how the method used works in identifying changes in the image of several consecutive frames. This research develops a motion detection system in humans on video using a Closed Circuit Television (CCTV) camera which is simulated using sample video. The motion detection process uses the Accumulative Differences Image (ADI) method and the human detection process uses the classification of Opencv, the Haar Cascade Classification. Which with this method compares more than two different frames and the classification parameters used are full-body, upper body and face. System testing is done using several video samples taken with the distance and height of the camera against different objects. The results obtained from testing using video samples show an accuracy rate of 95.23%.
A Context Free Spell Correction Method using Supervised Machine Learning Algorithms

Spell correction is a modern day necessity for a system that lets a user extract the proper result while searching different things.Misspelled words are highly likely to occur while typing in queries to these systems and when users misspell query, the users may get inconclusive or false information returned by the system.Spell correction can be context-free or context-sensitive based on the usage.This paper traverses a spell correction method using supervised machine learning algorithms in which the wrong word does not rely on any context.Also this paper includes the comparison between different supervised machine learning algorithms for this case and additionally provides the best case and limitation of this spell correction method.
The Computational Capacity of Mem-LRC Reservoirs

extended-abstract Share on The Computational Capacity of Mem-LRC Reservoirs Authors: Forrest Sheldon Los Alamos National Lab, Los Alamos, New Mexico Los Alamos National Lab, Los Alamos, New MexicoView Profile , Francesco Caravelli Los Alamos National Lab, Los Alamos, New Mexico Los Alamos National Lab, Los Alamos, New MexicoView Profile Authors Info & Claims NICE '20: Proceedings of the Neuro-inspired Computational Elements WorkshopMarch 2020 Article No.: 19Pages 1–4https://doi.org/10.1145/3381755.3381779Published:18 June 2020Publication History 2citation95DownloadsMetricsTotal Citations2Total Downloads95Last 12 Months15Last 6 weeks3 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Strategic intelligence and its impact on achieving entrepreneurship: A field study on Jordanian industrial companies that won the King Abdullah II Award for excellence

The study aims to identify the impact of strategic intelligence in achieving Entrepreneurship on Jordanian industrial companies that won the King Abdullah II Award for Excellence.For the achieving of the study objective, a questionnaire was developed for data collection.The study sample consisted of (200) employees chosen in a proportional stratiied random method.The Statistical Package for Social Sciences (SPSS 19) was used to analyze the data.The study found the following important results: The perceptions of the study sample individuals on the level of strategic intelligence in the researched companies are of an average level, and the perceptions of the study sample individuals on the level of achieving entrepreneurship in the researched companies were of an average level.The study recommends focusing on initiating and taking the risk of seizing and expanding opportunities in markets and concluding deals between companies and alliances in a manner that helps provide distinguished services among other companies.Further, it recommends supporting entrepreneurial initiatives by the managers of the researched companies by providing a work environment that utilizes/encourages/expands energies and generates ideas that contribute to the establishment of entrepreneurial projects that lead companies to grow and continue.
THE USAGE OF YOUTUBE VIDEO IN TEACHING ENGLISH FOR YOUNG LEARNER (TEYL) FOR SIXTH SEMESTER STUDENTS OF ENGLISH DEPARTMENT

The objective of the research is to know the student’s mastery in using YouTube as teaching media while the students learn to be a peer teacher in TEYL. TEYL is Teaching English for Young Learner is one of the subjects that is taught for sixth semester students of English Department in Veteran Bangun Nusantara University of Sukoharjo. Students learnt to teach their friends as if their friends were young learner students by using many kinds of teaching Medias. Youtube video is the most favorite teaching media because it is easy to get by downloading it or just see it. Qualitative method was used in the study. The subject of the study was 6th semester students of English Department. The collecting data of the study were used observation, interview, and documentation. The observation was used in order to know students’ teaching mastery about YouTube as a teaching media. The interview used to know the students feel, inspiration of using YouTube, and the application of YouTube in class. The documentation itself were divided into three. First was video recording, second was note taking and third was pictures. While the data of the research was the script based on the video recording. Based on the research, the students used YouTube as teaching media with different treatment. 1. Collecting some videos in a PowerPoint the way to serve it to the other students, 2. YouTube video was combined with some written explanation in a PowerPoint, 3. the other students only used a video then played it as a teaching medium, 4. Students downloaded songs video from YouTube but it does not play in class but the students use the song by changing the lyric. Then the students sang it with the variation lyric they already made.
Trace Equivalence and Epistemic Logic to Express Security Properties

In process algebra, we can express security properties using an equivalence on processes. However, it is not clear which equivalence is the most suitable for the purpose. Indeed, several definitions of some properties are proposed. For example, the definition of privacy is not unique. This situation means that we are not certain how to express an intuitive security notion. Namely, there is a gap between an intuitive security notion and the formulation. Proper formalization is essential for verification, and our purpose is to bridge this gap. In the case of the applied pi calculus, an outputted message is not explicitly expressed. This feature suggests that trace equivalence appropriately expresses indistinguishability for attackers in the applied pi calculus. By chasing interchanging bound names and scope extrusions, we prove that trace equivalence is a congruence. Therefore, a security property expressed using trace equivalence is preserved by application of contexts. Moreover, we construct an epistemic logic for the applied pi calculus. We show that its logical equivalence agrees with trace equivalence. It means that trace equivalence is suitable in the presence of a non-adaptive attacker. Besides, we define several security properties to use our epistemic logic.
Action Recognition and State Change Prediction in a Recipe Understanding Task Using a Lightweight Neural Network Model (Student Abstract)

Consider a natural language sentence describing a specific step in a food recipe. In such instructions, recognizing actions (such as press, bake, etc.) and the resulting changes in the state of the ingredients (shape molded, custard cooked, temperature hot, etc.) is a challenging task. One way to cope with this challenge is to explicitly model a simulator module that applies actions to entities and predicts the resulting outcome (Bosselut et al. 2018). However, such a model can be unnecessarily complex. In this paper, we propose a simplified neural network model that separates action recognition and state change prediction, while coupling the two through a novel loss function. This allows learning to indirectly influence each other. Our model, although simpler, achieves higher state change prediction performance (67% average accuracy for ours vs. 55% in (Bosselut et al. 2018)) and takes fewer samples to train (10K ours vs. 65K+ by (Bosselut et al. 2018)).
PEMBELAJARAN SASTRA POPULER BERBASIS WATTPAD SEBAGAI UPAYA PENINGKATAN KEMAMPUAN LITERASI BACA TULIS

Student literacy ability of Indonesian Literature Study Program in Ahmad Dahlan University still lacks attention and handling. This resulted in a low ability of students in literacy literacy skills. While literacy skills can help students to develop critical thinking, divergent thinking, and positive thinking in solving problems. As scholars, prospective scientists and agents of change, students are required to master literacy skills and critical thinking in facing the 21st century's fierce competition. Literacy ability in question here is literacy in the broad sense of being aware of technology, conscious of information, thinking critically, and sensitive to the environment. A person is said to have literacy skills if he is able to understand something because he reads the right information and does something based on his understanding of the contents of the reading. The use of the internet in literary learning is considered to be used as one of the learning models which is supposed to be able to foster independence in learning Popular Literature. To examine the learning process of Wattpad-based Popular Literature, this study uses the mixed methods approach. The results of the study show that the Wattpad application can help students to sharpen literacy skills. The use of Wattpad is considered to provide an interesting learning experience for students.
Towards Quantifying the Distance between Opinions

Increasingly, critical decisions in public policy, governance, and business strategy rely on a deeper understanding of the needs and opinions of constituent members (e.g. citizens, shareholders). While it has become easier to collect a large number of opinions on a topic, there is a necessity for automated tools to help navigate the space of opinions. In such contexts understanding and quantifying the similarity between opinions is key. We find that measures based solely on text similarity or on overall sentiment often fail to effectively capture the distance between opinions. Thus, we propose a new distance measure for capturing the similarity between opinions that leverages the nuanced observation – similar opinions express similar sentiment polarity on specific relevant entities-of-interest. Specifically, in an unsupervised setting, our distance measure achieves significantly better Adjusted Rand Index scores (up to 56x) and Silhouette coefficients (up to 21x) compared to existing approaches. Similarly, in a supervised setting, our opinion distance measure achieves considerably better accuracy (up to 20% increase) compared to extant approaches that rely on text similarity, stance similarity, and sentiment similarity.