Reviewerly/exHarmony huggingface dataset:
APPLICATION OF SEPARATE TECHNOLOGIES OF DEVELOPMENT OF STUDENTS CRITICAL THINKING AT CLASSES IN BUSINESS UKRAINIAN LANGUAGE AND CULTURE OF SPEECH

ApplicAtiOn Of sEpArAtE tEchnOlOgiEs Of dEvElOpmEntOf studEnts criticAl thinKing At clAssEs in BusinEss uKrAiniAn lAnguAgE And culturE Of spEEch summary.The article is devoted to the problem of application of certain technologies of development of critical thinking in higher educational establishments when studying courses "Business Ukrainian language", "Culture of speech".The use of brainstorming, problematic issues, project method, Association strategy, Jigsaw, Senkan will help students to acquire and improve relevant skills: selection and analysis of information, application of acquired knowledge, decision making.Separate methods proposed by Edward de Bono and used in the learning process will help develop the ability to think outside the box and create new ones.The restructuring of the educational process has to meet certain requirements: to learn to work correctly with information, to distinguish the main and secondary, to analyze and draw conclusions, to work in a team, to use the acquired knowledge in practice, when making decisions.The usual lecture should be replaced with a problematic one when students are asked high-level questions at the beginning of the class and at the end they find reasonable answers together with the teacher.Seminars and workshops should include problematic tasks.Independent and individual work can not be done without creating large-scale interesting projects.Such requirements apply to all subjects.Only in this way, through the activity of students, the learning of new knowledge will be deeper and more conscious.Only in this way can we achieve the maximum readiness of future professionals to fulfill their professional duties, successful implementation of themselves in public work.The modern world needs active and creative people who can solve any problems.Therefore, the use of various technologies for the development of critical thinking is a necessary element of the educational process in higher education.Teachers have ample opportunity to choose specific methods, creative approach to their application.They can hold scientific conferences, brainstorms, draw associative shrubs or fishbones with students, write senkas, essays, create projects, generate new ideas.The main requirements for the application of methods of development of critical thinking are careful preparation and relaxation, that is, the analysis of the conducted measures with the aim of continuous improvement of their pedagogical skills.
Towards semantic-rich word embeddings

In recent years, word embeddings have been shown to improve the performance in NLP tasks such as syntactic parsing or sentiment analysis.While useful, they are problematic in representing ambiguous words with multiple meanings, since they keep a single representation for each word in the vocabulary.Constructing separate embeddings for meanings of ambiguous words could be useful for solving the Word Sense Disambiguation (WSD) task.In this work, we present how a word embeddings averagebased method can be used to produce semantic-rich meaning embeddings.We also open-source a WSD dataset that was created for the purpose of evaluating methods presented in this research.
Fostering the Family-School Relationship with a Web-Based Application

This work describes the design of a Web application that allows not only the communication of families with schools but also their immersion in the learning process of their children, so they can contribute in its mediation. To develop this project, an analysis of the needs of teachers in relation to communication with families was needed. To this end, a pilot study has been carried out with 40 teachers of pre-school and primary education and a low-cost information system has been developed. The results obtained reveal that the use of this platform has been useful and effective to enhance the communication process with families and to make them participate in the teaching and learning process of their children.
Physical interaction makes invisible surfaces visible

Perhaps the most basic task faced by visual processing is to detect the presence of objects; before computing an object’s color, shape, or orientation, we must first register that something is there. Detection may be fairly straightforward when an object is fully visible, but in many realistic viewing conditions the visual system can only infer the presence of objects using cues such as continuity behind occluders, coincidental clipping of multiple figures, or unified motion against a background. All such cues, however, concern fairly low-level aspects of visual processing, encompassing only basic geometric and kinetic factors. Might more sophisticated forms of input cue an object’s presence? Here, we explore how a surprisingly high-level cue—physical interaction—can imply the presence of a hidden surface, in ways that directly facilitate later detection. Subjects saw an animation of a disk falling and then unexpectedly bouncing off of an ‘invisible’ surface. Sometimes, the disk bounced straight back up, implying a flat surface; other times, the disk’s bounce implied an angled surface. Afterwards, a visible line appeared where the disk had just bounced, whose orientation either matched or didn’t match the surface implied by the disk’s exit trajectory; subjects’ task was simply to report the orientation of this new, visible line, regardless of the physical events that came before it. Subjects were faster and more accurate at reporting the line’s orientation when it matched the orientation of the physically implied surface vs. when it conflicted. Follow-up experiments extended this work to attentive search in multi-event displays; again, detection of a specific oriented line was facilitated by seeing physical interactions that implied surfaces with that orientation. This work shows how a process as basic and seemingly low-level as detecting the presence of an object or contour can be influenced by a surprisingly high-level cue: otherwise-unexplained physical interactions.
Developing the Curriculum of Computer Mathematics using Mobile Educational Techniques to Improve Students' Skills Dealing with Logic Gates

The purpose of this study is to determines the effectiveness of the proposed application based on mobile education to develop basic concepts in logical gates, dealing with the methodology and variables of the study, the procedures of the study, the preparation and construction of the study tools, the stages of production of the proposed application and the procedures for implementing the pilot and basic study.The study results showed that there are statistically significant differences at 0.05% between the mean of control, and experimental group in favor of the experimental group, which means the effectiveness of the proposed model.
Verb Valency in Listening Comprehension Practice of the TOEFL Test

This article is about verb valences which discuss the link of elements in language. It is the relationship between verbs and elements or constituents around them in their capacity as basic constituents of building sentences. The basic constituents include the transitivity and verb assignment to the surrounding arguments so that there are one-valent (monovalency), two-valent (bivalency) and even three-valent (trivalency) forms found. The data analysis method used is a referential equivalent method with the basic technique of powering it to differentiate referents. The basic technique used is the technique of determining the determinant elements by powering them to differentiate the referents. This technique is used to sort or classify the valency structure of verbs in the matter of Listening Comprehension practice of the TOEFL test. The source of data is from The Complete Guide to the TOEFL Test written by Bruce Rogers. As the result, there are verb with one, two and three valences. A mono-valent verb in a sentence or clause is a verb form which is only compounded with one dependent element and is the subject of that clause. The verbs with two valences are also found in the exercise. The verbs that can bind two arguments at once and usually the argument is the subject and grammatical object of the sentence, and both must be attached simultaneously. A three-valent verb appears in a sentence or clause that has a syntactic / periphrasis causative construction.
Research and Application of Chinese Composition Online Intelligent Evaluation System

Based on the methods of natural language processing, language intelligence, network technology to construct an online Chinese essay intelligent evaluation system. This intelligent essay evaluation system composed of essay word segmentation, keyword extraction, the polymerization degree of the theme and etc. to evaluate Chinese essay automatically and intelligent.
Pelatihan Debat dalam Bahasa Inggris untuk Siswa SMA PGRI 6 Banjarmasin

PGRI 6 High School (SMA) Banjarmasin has common problems related to the availability of human resources and competencies to be able to manage extracurricular activities in English, especially for debating, hence students from this school have never participated in related competition activities at the local or national level. The English teaching teachers at this school are highly motivated to send representatives of students to take part in the debate competition but they have difficulties to begin preparations for this debate competition. They do not know how the recruitment and selection process for students to debate, nor have the expertise and knowledge about debate and there is no budget for the whole series of student debating activities. Banjarmasin State Polytechnic as one of the state universities in South Kalimantan which already has a well-known name in the English language debate level at local, regional and national level offers a solution to the problems of extracurricular activities in the form of debate training in English for high school students of PGRI 6 Banjarmasin. This community service activity aims to initiate extracurricular activities and improve the ability to debate in English for students of PGRI 5 Banjarmasin High School. The targeted output is the formation of a forum for partner school students to improve their English skills through debate and the selection of student representatives to participate in the debate competition. The teachers of English are expected to have knowledge of managing English extracurricular debate activities after joining the training.&#x0D;
The Structure of Research Activity Development in Preparing Future Foreign Language Teachers

This article deals with the problem of readiness formation for scientific research activity of future foreign language teachers.For this purpose, the authors investigated scientific literature and developed the structure of readiness formation, using modelling approach.The structure consists of five stages of professional training of future teachers of foreign languages to conduct the scientific research: objective, methodological, substantial, operationally-procedural, efficiently-diagnostic.The objective stage consists of the aim and task definition.The methodological stage is formed by methodological approaches and principles.The substantial stage includes the process of formation of the list of professional competences of the modern teacher of foreign languages.The operational-procedural stage consists of defining the pedagogical conditions and the stages of preparation for scientific research activity of future foreign language teachers.The pedagogical condition "stimulation of motivation for educational-cognitive activity" provides formation of value-motivational component and motivational criteria of readiness.Digital literacy and 21 st century skills development contribute formation of the cognitive component and cognitive-investigational criterion of readiness formation.Education through investigation and scientific-research work activation ensure the formation of the operational-procedural component and creative and activity oriented criterion.Depending on the degree of actualization of the abovementioned criteria and their indicators, we determine the system of the estimation of levels of readiness for scientific research of future foreign languages teacher: reproductive (low), structural (middle), reflexive-creative (high) levels, what represents the efficiently-diagnostic stage of readiness formation.
Performance Evaluation of Ensemble Method Based Outlier Detection Algorithm

Outlier analysis is a necessary research in data mining.Outlier detection can be used in many application areas like the diagnosis of diseases, fraud detection, agricultural, etc. so that there is a need to detect Outliers.In the proposed method, we focused to analyze the performance of outlier detection algorithm using feature bagging technique on health care application.The density-based Local Outlier Factor algorithm is used to detection of outliers.The local density of an object depends on its K nearest neighbor of objects.Next we introduce feature bagging technique which is one of the ensemble methods.Ensemble method of classifiers has been effective in improving overall performance and stability of machine learning algorithms.Local Outlier Factor method and LOF with feature bagging technique observed that the performance of the local outlier factor algorithm with feature bagging technique improves the accuracy based n diabetic dataset.
Extracting accent information from Urdu speech for forensic speaker recognition

This paper presents a new method for extraction of accent information from Urdu speech signals.Accent is used in speaker recognition system especially in forensic cases and plays a vital role in discriminating people of different groups, communities and origins due to their different speaking styles.The proposed method is based on Gaussian mixture model-universal background model (GMM-UBM), mel-frequency cepstral coefficients (MFCC), and a data augmentation (DA) process.The DA process appends features to base MFCC features and improves the accent extraction and forensic speaker recognition performances of GMM-UBM.Experiments are performed on an Urdu forensic speaker corpus.The experimental results show that the proposed method improves the equal error rate and the accuracy of GMM-UBM by 2.5% and 3.7%, respectively.
Websites of I-League Clubs: A Webometric Analysis

The present study focuses on the webometric analysis of the I-League club websites of India. Analyzing the websites of the Indian football clubs it has been found that in WIF calculation NFC holds the rank one position with SWIF of 0.7222. The website of NFC having domain authority of 53 ranks highest while in the case of page authority, the website of AFC ranks first with page authority score of 57. East Bengal Football Club (EBFC) holds the best global rank with 1,242,038 and it has the best Indian rank also i.e. 176,547.
Recommendation System for Interest-Based Interactivity through Cross Platform using Big Data

Interest-based interactivity as a key component for enhancing user experience, given the ubiquity of social media. Interest based interactivity modeling in a crossplatform Big Data repository is extracted from user interaction.The purpose of this study istwo things: first, addressing theoretical dilemmas of a crossplatform user experience ; second, implementing a platform to provide user interest based recommendations across different social networks.Use case is based on interest based cross-platform navigation and filtering content across multiple streams of social content. The streams consisted of tags from content on social media through a process of discovery. The application was tested on a stream of social media content to create a Big Data scenario.
Study on the Interval Number Matrix Game Based on Pure Strategy

Based on non- precision mathematics, this paper studied the problem of interval number game, and constructed a strict standard interval number matrix game model. This paper also discusses the maximum and minimum game range value, extending the theory of interval matrix.
A Bioinspired Visual Saliency Model

This paper presents a bioinspired visual saliency model. The end-stopping mechanism in the primary visual cortex is introduced in to extract features that represent contour information of latent salient objects such as corners, line intersections and line endpoints, which are combined together with brightness, color and orientation features to form the final saliency map. This model is an analog for the processing mechanism of visual signals along from retina, lateral geniculate nucleus(LGN)to primary visual cortex V1:Firstly, according to the characteristics of the retina and LGN, an input image is decomposed into brightness and opposite color channels; Then, the simple cell is simulated with 2D Gabor filters, and the amplitude of Gabor response is utilized to represent the response of complex cell; Finally, the response of an end-stopped cell is obtained by multiplying the response of two complex cells with different orientation, and outputs of V1 and LGN constitute a bottom-up saliency map. Experimental results on public datasets show that our model can accurately predict human fixations, and the performance achieves the state of the art of bottom-up saliency model.
Education in digital society: A regional aspect

The article considers the features of the spatial distribution of educational and scientific organizations in Russia as an important component of digital society. Based on the extensive sociological and statistical data, the article explains the need to revise the existing approach to the organizational structure of the higher education system taking into account the “5-100” projects and the creation of supporting and federal universities aimed at strengthening the system of higher professional education in the regions. The authors analyze national programs, in particular the national projects “Education” and “Science”, in terms of the new approaches to their territorial organization. The article aims at analyzing the regional accessibility of the main levels of education, and defines as its indicator the educational services of all levels provided in the region. The article is based on the hypothesis that an increase in the spatial accessibility of basic levels of education makes an important contribution to sustainability and accelerates social development. The authors note that all adopted programs and relatively new structural elements of higher education imply an increase in budgetary funding. Given the size of this funding, the gap between regional systems grows and the inclusion of new participants (universities) in the circle of the strongest educational institutions becomes more problematic. Meanwhile, it is the system of higher education and related scientific organizations that is one of the main drivers of the regional development, which determines its human potential and place in the country’s economy.
Prioritisation of Crude Oil Contaminated Sites to Inform Risk Decision Making Using Soil Quality Index

Crude oil contaminated sites delineation by soil quality index (SQI) is presented.This study used SQI proposed by the Canadian Council of Ministers of the Environment (CCME) to delineate three genuinely petroleum-contaminated sites in the Niger Delta, Nigeria to prioritise sites to inform risk decision making and/or remediation.In assessing the potential impact on human health risks at the contaminated sites, soil screening levels (SL) and gas chromatography-mass spectrometry (GC-MS) reference concentrations of total petroleum hydrocarbon (TPH) fractions with higher exposure potential (nC 10 -nC 16 , nC 16 -nC 35 , nC 35 -nC 40 ), and risk indicator compound (benzo[a]pyrene) were used in calculating the SQI scores.The sites were assessed by scoring them on a scale spanning from 0 to 100, where 0 indicates a very high level of human health risks and 100 indicates no action is required.The following results were obtained: (a) Site 1, SQI=36.9.This indicates high priority for remediation; (b) Site 2, SQI=49.1, which implies there is high priority for remediation and (c) Site 3 (SQI=45), which means site 3 requires high priority for remedial action.Thus, SQI method can be used to prioritse crude oil contaminated sites to enhance risk classification and decision-making and provide further insight to the contaminated land sector.
Whose Fault is It? Correctly Attributing Outages in Cloud Services

Cloud availability is a major performance parameter in cloud Service Level Agreements (SLA).Its correct evaluation is essential to SLA enforcement and possible litigation issues.Current methods fail to correctly identify the fault location, since they include the network contribution.We propose a procedure to identify the failures actually due to the cloud itself and provide a correct cloud availability measure.The procedure employs tools that are freely available, i.e. traceroute and whois, and arrives at the availability measure by first identifying the boundaries of the cloud.We evaluate our procedure by testing it on three major cloud providers: Google Cloud, Amazon AWS, and Rackspace.The results show that the procedure arrives at a correct identification in 95% of cases.The cloud availability obtained in the test after correct identification lies between 3 and 4 nines for the three platforms under test.
Enhancement of Medical Image by Fusion Method using Fast Discrete Curvelet Transform

Image fusion is the combination of two (or) more different image to form a new image with better information. Image resolution enhancement based on Fast Discrete Curvelet Transform. The info pictures are gotten from various envisioning methods such as Computer Tomography (CT), Positron Emission Tomography (PET) and Magnetic Resonance Imagining (MRI).Info picture is disintegrated into various sub-groups. After decay, a non-straight capacity is connected to the produced curvelet co-proficient to improve the distinctive recurrence sub-groups. The resultant images are fused by fusion techniques such as Principle Component analysis(PCA), Minimum selection method ,Maximum selection method and Simple average method. Fused image results was evaluated using metrics of Root Mean Square Error (RMSE), Peak Signal to Noise Ratio (PSNR) and Entropy (H).The outcomes demonstrated that the resultant picture has preferable data over the current strategy which respect to visual quality and information substance of consolidated picture. The results procured can be helpful for remedial finding of patient for further treatment.
Creating and Deploying USB Port Covers at Hudson County Community College

In 2016, Hudson County (NJ) Community College (HCCC) deployed several wireless keyboards and mice with its iMac computers. Shortly after deployment, library staff found that each device’s required USB receiver (a.k.a. dongle) would disappear frequently. As a result, HCCC library staff developed and deployed 3D printed port covers to enclose these dongles. This, for a time, proved very successful in preventing the issue. This article will discuss the development of these port covers, their deployment, and what worked and did not work about the project.
Maximum-Linear-Patch based Outlier Detection for Robust Manifold Learning

In this paper, we propose a novel outlier detection method for robust manifold learning. First, we assume that the input high-dimensional data can be represented by an integration of local linear patches, and each patch consists of samples in the local neighborhood that maintains a linear relationship. Then, we use a hierarchical divisive clustering method to seek maximum linear patches (MLPs) and present a local density based scheme to detect outliers in each MLP. In order to evaluate the performance of outlier detection, we also propose an improved outlier detection evaluation method based on manifold distance, which is suitable for robust manifold learning. Last, we give several experiments to demonstrate the effectiveness of the proposed outlier detection method and evaluation method.