Reviewerly/exHarmony huggingface dataset:
Demonstrating Techniques for Estimating the Constant of Variation in Commonly Occurring Variation Problems in College Algebra Textbooks

Problems in College Algebra TextbooksIn many College Algebra Textbooks, the section on variation contains direct variation problems of which Hooke's law for an elastic spring is an example, and inverse variation problems of which the illumination produced by a light source is an example.Each requires that the constant of variation be determined first based on a given set of values for the unknowns.Using this constant, the student is then asked to find one of the unknowns given the values of the others.In the engineering component of LaPREP, a nationally acclaimed intervention program in engineering, math and science for high-ability middle and early high school students held on the LSU-Shreveport campus, hands-on activities were developed to estimate constants of variation for both direct and inverse variation problems.Using Hooke's law as an example of a direct variation problem, several combinations of springs and weights were used to estimate coefficients of variation and the distant a spring stretched when a new weight was applied.In the inverse variation example, several combinations of distances and bulb wattages were used to estimate coefficients of variation and the corresponding illumination at specific distances from the light source.This paper gives a brief history and some of the accomplishments of LaPREP as well as specifics of the experiments and the several problems encountered in conducting them.
Hybrid Parallel Feature Subset Selection for High Dimensional Datasets

High dimensional data analytics is emerging research field in this digital world. The gene expression microarray data, remote sensor data, medical data, image, video data are some of the examples of high dimensional data. Feature subset selection is challenging task for such data. To achieve diversity and accuracy with high dimensional data is important aspect of this research. To reduce time complexity parallel stepwise feature subset selection approach is adopted for feature subset selection in this paper. Our aim is to reduce time complexity and enhancing the classification accuracy with minimum number of selected feature subset. With this approach 88.18% average accuracy is achieved.
Quantum Computing Applications

The risk of wide-scale cryptanalysis pervades narratives about quantum computing. We argue in this chapter that Feynman's vision for quantum computing will ultimately prevail, despite the discovery of Peter Shor's factoring algorithm that generated excitement about a use of quantum computers that people could understand---and dread. Feynman's vision of quantum devices that simulate complex quantum interactions is more exciting and strategically relevant, yet also more difficult to portray popular descriptions of technology. The Feynman vision for quantum computing will lead to applications that benefit humans in multifarious and unforeseen ways, just like the classical computing revolution improved our lives. Feynman's vision may also enable a ``winner-take-all'' outcome in building a large quantum computer. \par To explain this outcome, we canvass the three primary applications that have been developed for quantum computing: Feynman's vision of simulating quantum mechanical
Creation of the Project of the digital educational platform “My Format” for the educational environment in the Orenburg Region

The purpose of the article is to substantiate the creation of the project of the digital educational platform “My format” on the territory of the Orenburg region. Currently, there is no such digital platform in the region, which leads to gaps in the interaction of participants in the educational process. The main idea of the project is to describe a digital platform created for students of schools, teachers, administration of educational institutions, parents of students, universities, colleges and NGOs in the Orenburg region. A digital educational platform should create an information space that will unite participants in the learning process. Each of the interested parties, thanks to the platform, can satisfy their needs. For example, students will have the opportunity of remote education, teachers will have access to methodological materials and information, school administration (representatives of employers, universities, etc.) the ability to carry out testing to control the level of knowledge of students. The authors of the article, in order to implement the proposed idea, created a model of the functioning of the “My Format” platform, identified the advantages and opportunities from its use by interested parties. During the work, possible risks (barriers) were identified, a roadmap (milestones) was prepared, and the main indicators for evaluating the effectiveness of the project were identified. At the end of the article, the relevant conclusions are made, summarizing the results of the study.
COMBINATORIAL RECONSTRUCTION OF TWO-DIMENSIONAL WORDS IN THE HYPOTHESIS SHIFT 1

The article considers the formulation of the problem of reconstruction of two-dimensional words by a given multiset of subwords, under the hypothesis that this subset is generated by the displacement of a two-dimensional window of fixed size by an unknown two-dimensional word with a shift 1. A variant of the combinatorial solution of this reconstruction problem is proposed, based on a two-fold application of the one-dimensional word reconstruction method using the search for Eulerian paths or cycles in the de Bruyne multiorgraph. The efficiency of the method is discussed under the conditions of a square two-dimensional shift window one having a large linear size.
MODEL FOR FORMING THE BASIS FOR UNIVERSAL EDUCATIONAL ACTIVITIES IN CHILDREN OF THE OLDER PRE-SCHOOL AGE BY MEANS OF INFORMATION COMMUNICATION TECHNOLOGIES.

The article reveals "universal educational actions", the main structures of this component, the problems of forming the prerequisites for universal educational actions in the context of the implementation of the innovative model of the use of ICT. For this study, methods of analysis of scientific and theoretical material and pedagogical literature on this issue are used. This work reveals the meaning of work experience in a preschool educational organization, reveals the specifics of work, methods and means of organizing information and communication technologies.
Polyadic quantification in hybrid coordination

The aim of this paper is to provide a syntactico-semantic analysis of hybrid coordination, in which what is coordinated are phrases bearing different grammatical functions and different semantic roles. The proposed account improves on previous HPSG analyses by giving up the assumption that all conjuncts are dependents of the same head and, more importantly, by taking into account the syntax–semantics interface and providing semantic representations. This aspect of the analysis builds on and generalizes previous HPSG work on polyadic quantification.
The Effect of Global Financial Crisis and Ethiopian Monetary Policy Measures: Review on the pre-and post-crisis scenario

Policymakers and leaders usually fail to grasp a sound lesson from the eco- nomic hurdles and crises countries face. This paper, thus, is intended to review and articulate the causes and effects of the global financial crisis, and how the Ethiopian monetary policy reacted and mitigated the crisis. The data for the analysis were collected from various sources including IMF, World Bank, National Bank of Ethiopia, and research articles from 2003 to 2019. The review reveals that even during the crisis in 2009, Ethiopia was among the top five fastest-growing countries in the world by an average of 10.5%, which is twice the average growth of Sub-Sahara African countries (5 %). It had become the seventh-largest economy in Africa and the 69th in the world with a GDP PPP of 118.2$ Billion as of 2013. Some of the main reasons for the con- tinued growth of the country amid crisis could be the desynchronization of the country’s financial market with the international financial market, an insig- nificant share of mortgage loans in domestic financial sector services, and high-level government-led infrastructure investment coupled with China’s economic alliance. However, the significant effect of the crisis was observed in the country’s exports, remittance, and Foreign Direct Investment (FDI). To shun the related inflationary effect, the government increased the minimum deposit interest rate, reserve, and liquidity requirements, and reinstated the credit restrictions. Also, the immediate alert was given to commercial banks to give proper attention in managing credit risk and reducing non-performing loans to below 5% and overdraft facilities. Given the above-mentioned facts, the monetary policy measures were effective to stabilize the economy &amp; sus- tain the growth. In the end, the offshoots &amp; setbacks of the unsynchronized financial market, government-led investment &amp; fettered mortgage loans are addressed, and the way forward is marked out.
Economic Development Trend Prediction Model Based on Unsupervised Learning in the Internet of Things Environment

In order to explore the economic development trend under the environment of the Internet of Things, this paper improves the chaotic algorithm of the Internet of Things and constructs an economic development trend analysis system based on big data technology. Moreover, this paper analyzes the actual situation of big data processing data and conducts research on economic data analysis process. In addition, this paper conducts effective research on the various modules of functional analysis, obtains the system functional architecture, constructs the system functional structure based on the actual situation, and analyzes the operating process of the system. Finally, this paper designs a simulation test based on actual data. The experimental research results show that the system model proposed in this paper has a good performance in the forecast of economic development trends, and the system can be used for forecasting in subsequent economic development forecasts.
Differential Privacy Preserving in Big data Analytics for Body Area Networks

Abstract: Body Area Networks (BANs), collects enormous data by wearable sensors which contain sensitive information such as physical condition, location information, and so on, which needs protection. Preservation of privacy in big data has emerged as an absolute prerequisite for exchanging private data in terms of data analysis, validation, and publishing. Previous methods and traditional methods like k-anonymity and other anonymization techniques have overlooked privacy protection issues resulting to privacy infringement. In this work, a differential privacy protection scheme for ‘big data in body area network’ is developed. Compared with previous methods, the proposed privacy protection scheme is best in terms of availability and reliability. Exploratory results demonstrate that, even when the attacker has full background knowledge, the proposed scheme can still provide enough interference to big sensitive data so as to preserve the privacy. Keywords: BAN’s, Privacy, Differential Privacy, Noisy response
THE GENDER ASPECTS IN PROEIONAL SELF-ACTUATION OF FUTURE RESCUE WORKERS

the essence of such notions as “gender”, “gender symmetry”, “self-actuation”, is disclosed in the article; the gender equality implementation in the military environment, in women’s mastering the extremely hazardous professions and their self-fulfilment in this activity area is described; it is proved that the work on I-concept has facilitated (both males and females) to learn seeing their goals, to plan and attain tangible results in training and profession activities in the course of performing their duties; to understand their selves, their abilities and limitations, to learn manifesting their aptitudes and develop them actively, that is to work on fulfilment of their professional and life plans, therefore actuating themselves in future.
Efektivitas Pemanfaatan QGIS Dalam Pembuatan Peta Inventarisasi Perlengkapan Jalan

In the field of road traffic and transportation, road inventory activities are needed to monitor or monitor the condition of road equipment. The proper data collection will facilitate evaluation and supervision by managers or supervisors of traffic and road transportation. The data collection of road equipment inventory data can be compiled manually or electronically, which is integrated with the road equipment information system. One of the electronic data collections is by utilizing QGIS, which is one part of the Geographic Information System (GIS). This study aims to measure the effectiveness of using QGIS in making road equipment inventory maps using survey data and questionnaires to determine the difference between manual inventory data collection and WebGIS-based inventory data collection. Data analysis used SPSS calculation to test data validity, reliability, normality, Wilcoxon test and N-Gain Score test. From this data, it is found that the use of QGIS in road equipment inventory mapping has an average effectiveness of 60.26%, with the interpretation criteria being quite effective.
Handwritten Character Recognition Using Unsupervised Feature Selection and Multi Support Vector Machine Classifier

Face recognition is a personal identification system based on facial biometric data.By looking at the characteristics of the image data that has lighting variations and contains Gaussian/Poisson/Quantization noise when taken using a camera, facial recognition systems working in the real world with uncontrolled environmental conditions is a challenge.Local Ternary Pattern (LTP) is a representation of image features that are invariant to lighting, resistant to noise, but require manual threshold determination.In this study, we propose an automatic calculation of adaptive LTP's threshold using the statistical characteristic of image histograms.We also propose a Multi-scale Block Adaptive Local Ternary Pattern (MBALTP) which combines local features extracted using adaptive LTP and global features captured using multi-scale block for face recognition.We experimented on the Extended Yale-B dataset, which were collected under different lighting variations and contains noise.The experimental result demonstrated that the proposed method can improve the recognition performance with an accuracy of 98.87%.
An Energy-Aware Real-Time VM-Provisioning Framework For Heterogeneous Data Centres

&lt;div&gt;Increasing power efficiency is one of the most important operational factors for any data centre providers. In this context, one of the most useful approaches is to reduce the number of utilized Physical Machines (PMs) through optimal distribution and re-allocation of Virtual Machines (VMs) without affecting the Quality of Service (QoS). Dynamic VMs provisioning makes use of monitoring tools, historical data, prediction techniques, as well as placement algorithms to improve VMs allocation and migration. Consequently, the efficiency of the data centre energy consumption increases.&lt;/div&gt;&lt;div&gt;In this thesis, we propose an efficient real-time dynamic provisioning framework to reduce energy in heterogeneous data centres. This framework consists of an efficient workload preprocessing, systematic VMs clustering, a multivariate prediction, and an optimal Virtual Machine Placement (VMP) algorithm. Additionally, it takes into consideration VM and user behaviours along with the existing state of PMs. The proposed framework consists of a pipeline successive subsystems. These subsystems could be used separately or combined to improve accuracy, efficiency, and speed of workload clustering, prediction and provisioning purposes.&lt;br&gt;&lt;/div&gt;&lt;div&gt;The pre-processing and clustering subsystems uses current state and historical workload data to create efficient VMs clusters. Efficient VMs clustering include less consumption resources, faster computing and improved accuracy. A modified multivariate Extreme Learning Machine (ELM)-based predictor is used to forecast the number of VMs in each cluster for the subsequent period. The prediction subsystem takes users’ behaviour into consideration to exclude unpredictable VMs requests.&lt;br&gt;&lt;/div&gt;&lt;div&gt;The placement subsystem is a multi-objective placement algorithm based on a novel Machine Condition Index (MCI). MCI represents a group of weighted components that is inclusive of data centre network, PMs, storage, power system and facilities used in any data centre. In this study it will be used to measure the extent to which PM is deemed suitable for handling the new and/or consolidated VM in large scale heterogeneous data centres. It is an efficient tool for comparing server energy consumption used to augment the efficiency and manageability of data centre resources.&lt;/div&gt;&lt;div&gt; The proposed framework components separately are tested and evaluated with both synthetic and realistic data traces. Simulation results show that proposed subsystems can achieve efficient results as compared to existing algorithms. &lt;br&gt;&lt;/div&gt;
Expressive Speech Acts of Politeness in The Counselling Process

This study discusses the expressive speech acts of politeness in the counseling process. The study attempts to 1) identify the sub-types of expressive speech acts and their functions in the counseling process and (2) explain the realization of expressive speech act of politeness strategies in the counseling process. Data for the study were collected using passive participation observation and recording with closed-circuit television (CCTV). Data in this study were analyzed following the goal, heuristic method, and contextual methods. The findings of this study are associated with the stages of the counseling process. First, Building Relationships consists of sub-speech acts; Second, the Problem Identification Stage consists of sub-speech acts; Third, Facilitating Therapeutic Change consists of sub-actions speech act. Based on the findings of the study, praising is the most dominant utterance that always appears in every stage of the counseling process. It shows that the communication that happened in the counseling process is in a close, familial, warm, and comfortable atmosphere. This study demonstrates that language plays a critical role in the process of resolving human problems.
Over the counter

How is space communicatively achieved in face-to-face interaction and how can we account for the means and forms of such an achievement of space among those present? Answering these questions within an ethnomethodological framework, we propose the assumption of a general interactional problem of situational anchoring; that is, of a participant’s task to ascertain and to communicate the actually relevant aspects of their spatial surroundings. In solving this problem, space becomes interactively achieved as “interactional space”. Interactional space draws heavily on resources prior to the ongoing interaction. Among these are architectures for interaction, which provide a rich and powerful set of usability cues for participants. Especially within institutionalized communication, participants systematically utilize architectural manifestations in terms of buildings, settings, furnishings, and technologies. This abstract view is elaborated on with evidence from data of over-the-counter ticket-sales conversation, which is currently undergoing a process of significant refiguration affecting architectural, bodily, and verbal resources of situational anchoring.
Digital Archiving and Data Stewardship in French Archaeology

In France, the archaeological sector has undergone a major shift in the last 10 years in terms of digital data creation and management. The digital transformation of the profession and its practices is still in progress and is not uniform. If general policies and laws are now clearly adopted at a national level, then institutional or individual situations are more complex. We can clearly separate the development-led and academic sectors, with reference to the volume of data produced and the challenges faced. A critical overview of the barriers highlights the fact that, beyond technical issues, data management (specifically sharing) is a human challenge in terms of scientific priority and in the adoption of new practices. This article gives an overview of the main questions and issues with reference to major nationwide initiatives.
A Mathematical, Graphical and Visual Approach to Granular Synthesis Composition

We show a method for Granular Synthesis Composition based on a mathematical modeling for the musical gesture. Each gesture is drawn as a curve generated from a particular mathematical model (or function) and coded as a MATLAB script. The gestures can be deterministic through defining mathematical time functions, hand free drawn, or even randomly generated. This parametric information of gestures is interpreted through OSC messages by a granular synthesizer (Granular Streamer). The musical composition is then realized with the models (scripts) written in MATLAB and exported to a graphical score (Granular Score). The method is amenable to allow statistical analysis of the granular sound streams and the final music composition. We also offer a way to create granular streams based on correlated pair of grains parameters.
Poster: Studies of Propeller Aerodynamics for UAV Tethered System Development

The placement of sensing systems mounted on multirotor UAV is essential to perform accurate measurements.In an effort to reduce the noise acquired by the sensors, product of the turbulence generated by the propeller of multirotor UAV, a tip vortex characterization is realized where quantitative and qualitative analysis is done to install the sensing systems on the quadcopter.The introduction of a LiDAR in the system allows the collection of the physical environment.As example in the image, it can be observed Rowdy, our school mascot, and part of the Multidisciplinary Building on our Main Campus at UTSA.
PEMANFAATAN METODE ACTIVITY BASED COSTING DALAM SISTEM INFORMASI AKUNTANSI PENENTUAN BIAYA PADA BENGKEL MUJI JAYA

The Muji Jaya Workshop in determining the cost of body repair, it still uses a manual estimate model with paper media which will result in losses if the calculation of the cost of body repair that is informed to the customer is not enough so that the body repair costs received are not sufficient for the needs of raw material costs and labor costs in body work. The repair and preparation of financial statements will be disrupted and delayed for a long time if the note paper used is lost or damaged. This results in the owner not being able to make decisions quickly, precisely and accurately.&#x0D; From these various problems, Workshop Muji Jaya implements the use of the activity based costing method in the accounting information system for determining body repair costs in order to make it easier to determine the cost of body repairs to be more accurate and in presenting financial statements to be easier and more efficient because this method is guided by the assignment of costs to products. or services based on all required activities.&#x0D; &#x0D; Keywords: estimation, cost, activity based costing