Reviewerly/exHarmony huggingface dataset:
Bangla Document Categorization using Term Graph

Bangla document categorization is an emergent topic now-adays.Every document has some keywords that reflect its category.Document categorization refers to an automatic categorization of a document based on the keywords it contains.An expedient keyword selection method is necessary to correctly classify a document.TF- KNN [5] are some of the trending methods used in Document Categorization.Some of models are also used in Bangla Document Categorization.In this research, Term Graph concept was mainly focused.TGM [5] is never used before for Bangla document categorization.So, the concentration was Term Graph concept mixing with other existing models for categorizing Bangla documents.Experiments are also performed by changing and tuning feature selection method.Maximum 3-size subsets are used in experiment.Features were selected by changing selecting formula.Sometime all features were selected and sometime less important features were removed for increasing accuracy and reducing space complexity.
How to Improve the Interaction Design of NFC Payment Terminals?

Near field communication (NFC) payments also popularly known as contactless payments are increasingly used in retails shops like supermarkets and cafes nowadays. User studies on NFC payments show that NFC payments fail to provide users with the appropriate user experience. In this paper, we aimed to redesign the existing NFC payment experience design by altering 5 factors namely the audio feedback, the visual feedback, the haptic feedback, the screen design of the payment terminal and the NFC component. The results show that altering the aforementioned factors increase the usability of NFC payments and provides users with privacy and security-enhanced experience. We also framed 5 guidelines based on our evaluation results which will aid designers while designing or redesigning any system. We also believe that our research methods and guidelines contribute to the researches in the HCI community.
A GLANCE AT JOB SATISFACTION THROUGH OCTAPACE CULTURE: AN EMPIRICAL STUDY OF SOFTWARE EMPLOYEES.

07Jul 2019 A GLANCE AT JOB SATISFACTION THROUGH OCTAPACE CULTURE: AN EMPIRICAL STUDY OF SOFTWARE EMPLOYEES. Tamizharasi and K.Meena Devi. Dean R&D, Department of MBA, RNSIT, Bangalore. Asst Professor, Department of MBA, RNSIT, Bangalore.
Edible sensor and barcode: for food packaging

To reduce food spillage and the counterfeiting of products an indicator is needed, which can indicate if a product is still suited for consumption. In this study a new indicator, made from a caseinate glycerol film, has been tested. The film breaks after exposure to humid air after a certain time. The indicator can indicate if a food product is still safe to eat or not and could indicate if a product packaging has been opened when transported. Three different compositions of the caseinate glycerol film were tested for their capacity to absorb water and for their strength. The highest water absorption in percentage of water per polymer was at the higher humidity level. The different compositions showed an increase in absorption depending on its thickness and glycerol content. The film which best absorbed the water was the thinnest film. This is explained by its relatively large surface area versus volume in comparison to the other two tested films. The difference in water absorption was ten times higher at 85% humidity as compared to the water absorption at 60%. From the strength test it appeared that the film with the lowest glycerol content was the film which broke the easiest after being exposed to humidity. The other samples did not break due to the limits of the equipment used. The sample who did break with lowest glycerol content for its volume shows the most potential to be used as an indicator because of the relatively low strain required to break the film.
IMPROVING COLLEGE STUDENTS’ SPEAKING SKILL THROUGH VIDEO PROJECT

Technology is very much part of today’s life. It has been used as a tool in language learning throughout the world at all different levels especially adult learners. Nowadays, it is important to engage students to speak confidently and learn independently in their daily activity as students. However, the level of their speaking skills is still not satisfactory. They still have difficulty to communicate using English. The purpose of this study is to examine whether video project able to improve the speaking skill of the students. A Classroom Action Research design was applied. The data were collected through small group and individual activities. Video project competition was done for the final project. This study was conducted in two cycles of seven meetings in each cycle. Based on the analyses, data showed that there are changes from cycle 1 to cycle 2. In cycle 1, the percentage of students English skill is 54% and it is increased become 75% in cycle 2. The average result of percentage in cycle 1 to cycle 2 is 21%. The result of the data showed that the use of video project could be one of the best alternatives to improve the students’ speaking skill.
Investigating the Impact of Supply Chain Management and Marketing Strategies on Organizational Performance

Today, with the growth and development of marketing methods, their impact on the business environment cannot be ignored. The use of marketing and supply chain management enables organizations to succeed in creation of a greater value for customers and other interested people. Accordingly, after determining the objectives, variables and factors of designing the corresponding measurement tool(s), preliminary field studies and validation of the data measurement tool(s), preparation of the final questionnaire and its distribution among the relevant experts, according to the number of the statistical population which is equal to 1000, 390 samples were selected using Cochran method. Structural equations have been used in the field of statistical analysis results of the research questions and the PLS statistical software was selected. After investigation of the data, a significant positive relationship was found between the variables, the model had a good fit, and finally, the developed model was approved.
Elisabetta Ježec, The Lexicon. An Introduction. Oxford Textbooks in Linguistics, 2016, 234 pages

1. General observations Elisabetta Ježek is Associate Professor of Linguistics in the Department of Humanities at the University of Pavia. She has published articles in specialized journals like Linguistical Investigationes [2004], Folia Linguistica [2009] and Lexis [2010]. The Lexicon An Introduction was first written in Italian and published by Il Mulino in 2005 under the title Lessico. Classi di parole, strutture, combinazioni. The English revised translation was released by Oxford Univers...
PREDICTION OF THE CHARACTERISTICS OF THE PHOTOVOLTAIC MODULE UNDER THE INFLUENCE OF CLIMATIC CONDITIONS IN MAHAJANGA

This article contributes to the prediction of the electrical power produced by a photovoltaic (PV) module operating under the actual weather conditions of the city of Mahajanga. The Brichambaut Perrin empirical method is adopted for the estimation of the solar energy received by the photovoltaic module. Single diode models (three-parameter model, four-parameter model, five-parameter model), dual diode models (five-parameter model, six-parameter model, seven-parameter model) and artificial neural networks are adopted to model the photovoltaic cell. The results of the simulation of the approximate mathematical models of the power produced were compared with the results predicted by the neural network under the same operating and climatic environment conditions. A good agreement was reached.
EMOTION ANALYSIS OF TWEETS USING DEEP LEARNING TECHNIQUES

Microblogging is one of the most prominent forms of communication among internet users today.These services offer users a tool to share opinions on a plethora of issues and aspects of their lives, and hence, they are rich data sources for textual analysis, and offer vast potential to gain insight into the way people communicate.We examine the task of emotion analysis of twitter data and design a neural network architecture for the task of classifying each tweet into one of five emotion categories: joy, sadness, anger, laughter and fear.We also show a method to automatically collect and tag a corpus of data for emotion analysis.Our experiments showed that our models outperform current state of the art techniques for the proposed problem.
Feasibility study on the application of blockchain technology in the reclaiming asphalt process

The present research is focused on the possibilities of implementing blockchain technology in the reclaiming asphalt process in the Netherlands, in collaboration with BAM Infraconsult. The feasibility of using blockchain technology in order to improve several parts of this process is investigated. More specifically, the Design Science Research approach is used, and the main purpose of the study is to design an artifact that will be used for two use cases in the reclaiming asphalt process, i) an information platform use case and ii) a supply chain management use case. At first, the process is analyzed in terms of i) business network, ii) the process itself and iii) the information that is exchanged during its execution. Then, the proposed model is designed in two ways, i) a Sequence Diagram and ii) by using the online playground of Hyperledger Composer. At the end, the proposed model is validated and five possible benefits that could be brought in the process are mentioned: i) transparency in transactions, ii) materials traceability, iii) long terms sharing of data in a predetermined way, iv) g give permission to predetermined actors to view specific data and v) reliability, immutability and trustiness in the stored data.
College Forum for Query Solving

Information system development approaches are considered with particular references to information requirements analysis.This websites aims to contribute to the discussion on tool and methods for system development by providing a contrasting perspective on information required in the analysis as a developed which is socially mediated.Therefore, a need for a system that could detect student problems and provide them with suitable public opinion is raised. This system will be able to handle achievement by recording and giving feedback for each raised problem by user. Result of student of the study can be a good reference to find out users needs. This system automates the existing system. As it reduce the time and paperwork. It store the database of various solution of all queries. Query solving system is very useful for student. This system stores the queries and their solution also. It is available for all users. It has the potential to become an additional resource that can be used to inform and improve student management.
Guarded Kleene Algebra with Tests: Verification of Uninterpreted Programs in Nearly Linear Time (Invited Talk).

Guarded Kleene Algebra with Tests (GKAT) is a variation on Kleene Algebra with Tests (KAT) that arises by restricting the union (+) and iteration (*) operations from KAT to predicate-guarded versions. We develop the (co)algebraic theory of GKAT and show how it can be efficiently used to reason about imperative programs. In contrast to KAT, whose equational theory is PSPACE-complete, we show that the equational theory of GKAT is (almost) linear time. We also provide a full Kleene theorem and prove completeness for an analogue of Salomaa's axiomatization of Kleene Algebra. We will also discuss how this result has practical implications in the verification of programs, with examples from network and probabilistic programming. This is joint work with Nate Foster, Justin Hsu, Tobias Kappe, Dexter Kozen, and Steffen Smolka.
Machine Learning Research in India: A Scientometric Assessment of Papers During 2006–17

The article provides a quantitative and qualitative description of machine learning research in India using measures such as growth rate, global publication share, national-level share of international collaborative papers, citations per paper, and highly cited papers. The data for the study was sourced from Scopus database covering 12-year period 2006–17. The study finds that the United States is the world leader in the machine learning research, followed by China, United Kingdom, Germany, and India. India registered 52.46% annual growth in the subject, more than twice that of the world (22.03%). India's citation impact was 5.34 citations per paper and its national share of highly cited papers was 0.68% (27 papers). The leading Indian research organizations in machine learning research include Vellore Institute of Technology, Anna University, Chennai, Indian Institute of Technology, New Delhi, Indian Institute of Science (IIS), Bangalore, and so on. The top 15 journals that accounted for 31.46% of India's output include International Journal of Machine Learning and Cybernetics (with 82 papers), International Journal of Applied Engineering Research (77 papers), Journal of Machine Learning Research (46 papers), Neurocomputing (44 papers), and so on.
Application of Innovative Technologies in the Process of Discipline «International Law» by Students Of Legal Specialties

The article deals with the study of pedagogical conditions and methodical aspects of the need for the introduction of free debate during the study of the discipline «International Law» by students of legal specialties. There have been revealed methodical aspects of using debates in the teaching of law students, such as goals and main elements, choice of format, theme design, organizational preparation and evaluation of results. The main attention is paid to highlighting the peculiarities of the implementation of the debate of the students of legal specialties as the basis for activating their cognitive activity and motivating future professional development. The analysis of pedagogical and legal literature, as well as the experience of practical activities of institutions of higher education, indicate that the need for the implementation of project technologies in the educational process is not fully understood and needs further research. In addition, in the process of analysis and research of the topic, a number of problems were identified in the field of the implementation of free debate as an element of project technology in the educational process of the o institutions of higher education: there are a small number of teachers who can take on the role of facilitator and create favorable conditions for the development of free debate in classes; lack of quality textbooks and manuals with methodological guidelines for the introduction of free debate in the study of legal disciplines; absence of new curricula that meet the requirements of time; lack of clear algorithms and procedures for implementing the method of free debate during the study of legal disciplines.
MENINGKATKAN KEMAMPUAN MINAT BERHITUNG MELALUI PERMAINAN SONDAH MODIFIKASI

This study purpose of was to determine the effectiveness of modification play methods in improving numeracy skills in early childhood. The research method used is a quasi-experimental method using a non-equivalent control group design that is using two classes. Data collection techniques in this study used observation, interviews and documentation studies. The data analysis is done by using descriptive data for qualitative data, and using statistics for quantitative data. Based on the normality and homogeneity test, pretest and posttest data are normally distributed and the variance is homogeneous because all the significance is greater than 0.05. The data of this study have a 0.02 2-tailed significance value which means less than 0.05, so the data has a significant difference in the ability to recognize the concept of numbers between experimental classes given the modification method and the control class given the conventional method. The normalized gain test calculation shows that the N-Gain Score for the experimental class of 78.3% belongs to the very effective category. While the N-Gain Score of the control class was 52.9%, included in the less effective category.Tujuan penelitian ini untuk mengetahui efektifitas metode bermain sondah modifikasi dalam meningkatkan kemampuan berhitung pada anak usia dini. Penelitian ini menggunakan metode metode quasi eksperimen dengan menggunakan desain kelompok kontrol non ekuivalen yaitu menggunakan dua kelas. Data pada penelitian ini dikumpulkan dengan teknik observasi, wawancara dan studi dokumentasi. Berdasarkan uji normalitas dan homogenitas, kedua data menunjukkan kenormalan dan variansnya homogen karena semua signifikasinya lebih besar dari 0,05. Data penelitian ini memiliki nilai signifikasi 2-tailed 0,02 yang artinya kurang dari 0.05, maka data tersebut memiliki perbedaan yang cukup signifikan pada kemampuan minat berrhitung antara kelas eksperimen yang diberi metode sondah modifikasi dan kelas kontrol yang diberi metode konvensional. Perhitungan uji gain ternormalisasi menunjukkan bahwa N-Gain Score untuk kelas eksperimen sebesar 78,3% termasuk ke dalam kategori sangat efektif. Sementara N-Gain Score kelas control sebesar 52,9% termasuk ke dalam kategori kurang efektif.
Slovnični, biološki, generični spol ter sodobna raba v slovenščini in češčini

The article deals with the way of expressing biological sex and its relation to grammatical gender in contemporary Slovenian and Czech texts, with special attention to the rules of the Faculty of Arts of the University of Ljubljana and the Faculty of Arts of the Charles University in Prague. The research focuses on select grammatical elements of the two language systems, the communicative function of language in a text, and the reasonableness and ways to implement gender-fair language use in Czech and Slovenian texts.
Hubungan antara Critical Thinking Disposition dengan Information Literacy di Media Sosial pada Mahasiswa

ABSTRACT The development of technology and information in this era has made information and science inevitably overflow through social media. This situation is supported by the development of technology such as the existence of computers and internet networks in private, thus makes everyone can easily access information in anywhere and anytime. Nonetheless, information is considered a need for those who relies it in daily life, especially college students. Therefore, it is important to develop ability to find and sort information or scientific reference sources and critical thinking disposition ability to see whether the information is what we really want. The purpose of this study is to examine the relationship between critical thinking disposition and information literacy among students on social media. The sampling technique uses random sampling techniques. The research subjects were 18-24 year old students totaling 269 student. The data was collected using critical thinking disposition scale consisting of 3 aspects which were stated by Ricketts and Rudd namely engagement, cognitive maturity, and innovativeness with 23 items and information literacy scale with 13 items. Test analysis using correlation test and the results show there is a significant relationship of critical thinking disposition and information literacy among students on social media with results (0.00 <0.05). Critical thinking disposition, information literacy .
Theoretical Basis for the Implementation of the Competence Approach in the Processof Fundamental Mathematical Training of Specialists in Technical Specialities

The article is devoted to the study of the problem of introducing a competence-based approach to the educational process, in particular with the fundamental mathematical training of specialists in technical specialties. A review of the literature relating to the problem field of the competence-based approach was carried out; the author’s enterpretation of this definition was given. The object of research is the formation of mathematical, professionally-directed mathematical competences of students of technical specialties. The purpose of the article is to reveal the existing approaches to the interpretation of the concepts of competence, competence-based approach, to analyze the implementation of the competence-based approach in the educational process in the context of the theory of neuroplasticity of the human brain, as well as the formation of professionally-directed mathematical competences in the context of this theory. For the formation of a specific competence, several factors are needed: the time period during which the formation of competence takes place, the personality motivation to the formation of competence, the activity of the personality, contributes to the formation of competence, external influential influential factors caused by the teacher's actions. The listed factors of competence formation correspond to the conditions of formation of new neural connections in the human brain, which reflect new ways of thinking and actions, correlate with the concept of brain neuroplasticity. An example of the formation of operational-algorithmic competence in the process of fundamental mathematical training of students of technical specialties is given.
Research on Geometry Teaching of High School Based on the Software of GeoGebra

In recent years, GeoGebra software has been widely used in high school mathematics teaching, especially in assisting high school mathematics geometry teaching. The software of GeoGebra is complex in function, teachers should use it reasonably according to its characteristics. According to the mathematics curriculum standards and the mathematics teaching theory of the Fan Hiele couple, the author thinks that the use of GeoGebra software in high school geometry teaching should follow the principles of heuristic, interactivity, flexibility and selectivity. In order to improve the efficiency of high school mathematics geometry teaching, in the actual teaching process, teachers should pay attention to setting reasonable geometric questions according to the students' geometric thinking level, minimizing unnecessary operations, combining multiple views to realize the combination of numbers and forms, and handling the relationship between students' software learning and mathematics knowledge learning, organizing and managing the classroom effectively, coordinating the relationship between the software, blackboard and courseware.
Between Isolation and Integration: Creating the Jazz Aesthetic in Acoustic – Electronica Recordings - Art of Record Production (Aalborg, Denmark) conference presentation 2016

A transcript of my 2016 ARP presentation. Beyond the scope of this format the presentation featured a detailed investigation of multitrack mix projects associated with the GoGo Penguin albums V.20 and Man Made Object.
Voxel Based Pathfinding with Jumping for Games

Pathfinding plays a vital role in video games, whether in terms of gameplay mechanics or player immersion. Commonly used methods only allow the simplest types of movements like walking and running. Although seldom, other types of movement like swimming and flying are also considered. Even rarer are mechanisms that natively contemplate jumps, without the need of extra intervention of game developers. Most games overlook these movements on Non Player Characters, affecting player experience. This article discusses the limitations of Navigation Meshes when it comes to take jumps into consideration and proposes a new solution using grid-based any-angle pathfinding. Each cell of this navigation grid constitutes a voxel that delimits a small 3D space and is expressed in a shape of a cube. Voxels discretize the game world and are explored by a search algorithm to achieve pathfinding with jumps. Performance is critical and found paths should be optimal and efficient. Results show that the proposed solution can be successfully applied in game development.