Reviewerly/exHarmony huggingface dataset:
Right to Dissent in India: An Analysis

There is a famous story of "The king is naked" in which the arrogant and ruthless king had a weakness to hear his own praise and flattery and the thugs knowing this weakness loot the king by selling him magical clothing claiming to be visible only to loyal and honest people.The king announced his visit to the city in his magical clothing.Out of fear people praised the king who was unknowingly naked.No one had the dare to dissent out of fear.Then a small little boy came out in the crowd as soon as he saw the king and said that the king was naked!Dissent is the key to any successful democracy.If there is fear in the minds of people that their dissent can lead to curtailing of their liberty then there is a dire need to contemplate and analyse right to dissent.In India there have been instances where people spoke against the government and anti-national laws were imposed upon them.This paper is an effort to analyze the issue of dissent in India through judicial and legal perspective and offer suggestions to minimize the malaise.
Overview of Big Data Analytics Technologies in Smart Grid

Smart grids have become an essential component of modern society due to their interconnected nature. In the smart grid, unprecedented amounts of data will be created continuously due to the advanced sensor infrastructure. Therefore, analyzing smart grid data is becoming increasingly critical to delivering electricity and managing consumption in the business and physical sectors. Modernizing the grid requires data science, despite the challenges of integrating data analytics into the enterprise. A review of big data management &amp; analysis in the smart grid is presented in this paper. Data analytics and its role in big data management are discussed in this paper along with the challenges of implementing those analytics, and how they can help achieve clean, reliable, and efficient grids. The paper supports Apache Flink due to native streaming for use cases that call for minimal latency, while Apache Spark is better suited for batch data processing.
Development of Small Vocabulary Continuous Speech-to-Text System for Kannada Language/Dialects

Objectives: To develop a speech-to-text (STT) system using Kaldi speech recognition toolkit for continuous Kannada language/dialects.Methods: A continuous Kannada speech data is collected from 100 speakers/farmers of Karnataka state in field.The lexicon/dictionary and set of phonemes for Kannada language/dialects are created and transcribed the collected speech data using transcriber tool.The ASR models are developed at different phoneme levels using Kaldi.Findings: In this work, an effort is made to develop a robust small vocabulary STT system for continuous Kannada language using Kaldi.The various acoustic modelling techniques are used to develop a robust ASR model and achieved a word error rate (WER) of 0.23%.The performance of the developed ASR model is compared with existing works and analyzed by offline speech recognition.Novelty: Many STT systems have been developed for Indian and International languages/dialects, but not for Kannada language.This work is first of its kind using Kaldi in Kannada language under the constraints of limited data.The developed ASR model could be used further in the development of end-to-end ASR system for speech processing applications.
Development and validation of digital medical laboratory educational platform

With the increased use of whole slide scanner technology, large numbers of tissue slides are being scanned and archived digitally. While digital pathology has substantial implications in telepathology, second opinions and education, there are huge research opportunities in this new type of digital data. Accessibility to large digital repositories of tissue slides is a huge educational resource for medical students and pathology residents. In addition to education of medical students, residents and clinical adoption, digital pathology has been transformative for computational imaging research. Many universities also do not have active pathology laboratories which are necessary in providing a steady flow of real life cases for medical training and research. Therefore, this project aimed at designing and validating a digital medical laboratory educational platform where learners could access the virtual slides from their individual student portals irrespective of their location when they logged in. With the use of a digital slide scanner, physical slides from the manual laboratory repository were scanned and stored in the cloud in a digital format. The two platforms of both institutions were integrated such that the students’ online learning portal was in sync with the Pathology Network’s digital repository. Once the integration was successful, the students were able to access and interact with the learning materials and virtual slides for Cytology and Cytological Stains which was the scheduled topic for teaching and learning. The study recruited thirty five students from Meru University of Science and Technology pursuing undergraduate studies in Medical Microbiology. Majority of the students (33 out of 35; 94.3%) indicated that digital pathology enhanced their understanding of the topic of study due to availability of virtual slides with ease and at any time of day. All students (35 out of 35; 100%) felt that digital pathology teaching was beneficial for Medical Microbiology students and expressed hope in continued learning using digital pathology to supplement face-to-face lectures. The study proved concept that digital pathology education is viable in medical training, particularly, for pathology and medical laboratory. There is need for additional work to include more areas in the field of laboratory medicine and development of virtual learning content. Such local digital slide repository can promote use of digital pathology in Kenya and the region for teaching and learning. Digital pathology together with virtual microscopy can progressively improve medical education and training of pathology and laboratory medicine.
Digitilization of academic libraries, a response to the blended mode of teaching in private higher learning institutions in Africa

ABSTRACT Academic libraries are being encouraged to digitalize their services. This idea has been supported with the advent of COVID-19 where health measures are encouraging social distancing and avoiding hand to hand distribution of documents and the limit of face to face contacts. Encouragement is being made to have a full online lectures or blended mode of teaching where there is a mixture of face to face with online courses. The main challenge in this process is that most of core books related to academic courses in libraries are in printed format and accessible only by visiting the library. It is to note that private higher learning institutions in Africa are still facing challenges related to inadequate resources as they do not get governmental finance support. This study aims to review literature on the role of digitalization of academic libraries as a response to the blended mode of teaching. The objective of the study is to investigate challenges faced by academic libraries in private higher learning institutions in Africa that limit them to satisfy their users’ needs through digitization of the library and to propose strategies that can be adopted in order to overcome those challenges. Literature reviewed found out that: The digitalization of library has a great role to play on library users’ needs satisfaction; That academic libraries are facing challenges during the digitalization process, challenges that limit fully adoption the use of internet and the digitalization of libraries in order to satisfy library users’ needs.The study recommends: the management to avail adequate resources to libraries; hiring new personnel and deploying/retraining existing staff in ICT related to library digitalization; Training of library users on the access and use of digitalized library resources; To embrace new technology and move from printed documents accessed physically to digitalized documents accessed through internet in order to meet the users’ needs satisfaction in the age of digitalization of education.
ENHANCING ONLINE LEARNING FOCUSING ON THE RELATIONSHIP BETWEEN GAZE AND BROWSING MATERIALS

Online synchronous classes and seminars are increasing in universities along with the outbreak of COVID-19.Since the online classes are not in-person condition, it is difficult for a teacher to monitor the learners.In the field of distance education, the need to support learner's concentration has been identified.More effective methods adapted to online classes in universities should be discussed.In this paper, we focus on the teacher's and learners' attention to the material in online real-time classes.We then propose a system that provides feedback on the differences in learners' gaze in order to improve the followability of learners.The proposed system assumes an online environment using Microsoft Teams PowerPointLive and acquires the "gazing point" at every slide-material and "page change history" of the teacher and learners.The results of using the proposed system suggest that it can improve the learner's followability to the teacher.
PENGARUH PENGGUNAAN METODE EVERY ONE IS A TEACHER HERE TERHADAP MOTIVASI BELAJAR SISWA KELAS V PADA PEMBELAJARAN IPS SDN 4 TUGUMULYO

Abstract : The effect of using every one is a teacher here method on learning motivation of v grade students in ips learning in sdn 4 tugumulyo. This study aims to determine the effect of using the every one is a teacher here method on the learning motivation of fifth grade students in social studies learning at SDN 4 Tugumulyo. The research method in this study used an experimental method with a one group pretest-posttest type design, the population in this study amounted to 34 students from all fifth grade students at SDN 4 Tugumulyo. The data collection technique in this study used a questionnaire. Content validity was obtained from expert judgment and construct validity was calculated using product moment correlation by Pearson and reliability using Cronbach's Alpha. The data analysis technique used in this study was the normality test with Shapiro Wilk, the homogeneity test with the Levene test and hypothesis testing with the Paired Sample T-test. The results showed that there was an effect of using the every one is a teacher here method on the learning motivation of fifth grade students in social studies learning at SDN 4 Tugumulyo. It is shown from the results of the Paired Sample T-test of the pretest and posttest of learning motivation, it was found that the significance value of Sig (2-tailed) was 0.000 &lt; 0.005, so was rejected and was accepted. Keyword : The Every One Is a Teacher Here Method, Motivation to learn Abstrak : Pengaruh penggunaan metode every one is a teacher here terhadap motivasi belajar siswa kelas v pada pembelajaran ips sdn 4 tugumulyo. Penelitian ini bertujuan untuk mengetahui pengaruh penggunaan metode every one is a teacher here terhadap motivasi belajar siswa kelas V pada pembelajaran IPS SDN 4 Tugumulyo. Metode penelitian pada penelitian ini menggunakan metode eksperimen dengan desain tipe one group pretest-posttest, populasi pada penelitian ini yaitu berjumlah 34 siswa dari seluruh siswa kelas V SDN 4 Tugumulyo. Teknik pengumpulan data pada penelitian ini menggunakan angket. Validitas isi diperoleh dari judgment ahli dan validitas konstruk dihitung menggunakan korelasi product moment oleh pearson dan reliabilitas menggunakan Alfa Cronbach. Pada penelitian ini, teknik analisis data yang digunakan yakni uji normalitas dengan Shapiro Wilk, uji homogenitas dengan uji Levene dan uji hipotesis dengan Paired Sample T-test. Hasil penelitian menunjukkan bahwa adanya pengaruh penggunaan metode every one is a teacher here terhadap motivasi belajar siswa kelas V pada pembelajaran IPS SDN 4 Tugumulyo. Hal itu ditunjukkan dari hasil uji Paired Sample T-test data pretest dan posttest motivasi belajar didapatkan nilai signifikansi Sig (2-tailed) 0,000 &lt; 0,005 maka ditolak dan diterima. Kata Kunci : Metode Every One Is a Teacher Here, Motivasi Belajar
Antecedents of Audit Quality in the Malang Public Accounting Firms: Moderating Effect of Auditor Professional Ethics

The study aims to provide evidence that competency, independence, and accountability influenced the audit quality with professional auditor ethics as moderating variable. The method used in this study is associative research with a quantitative approach. Data on the study is obtained by disseminating questionnaires directly to the auditors as respondents. The population in this study is the auditors who work in the public accounting firm (PAF). The sample in this study is the auditor who worked at the public accounting firm in Malang, with a total of 10 public accounting firms determined using sampling techniques. The data analysis technique in this study uses SmartPLS software 3.0. The results of these studies indicated that the auditor's competency and accountability significantly impacted the audit quality. Auditor's independence did not affect the quality of the audit. Moreover, the study also proved that professional auditor ethics could not moderate the influence of auditors' competency, independence, and accountability on audit quality. This suggests that professional auditor ethics is not essential in forming good audit quality, and auditors in the Malang public accounting firm need the training to enhance their capability in performing audit assignments.
Daily Mess: Mobile App Initiative to Uplift Mess Halls

Abstract: Eating on a college campus can be a challenge, especially when it comes to finding options that are both convenient and affordable. To address this issue, we have developed a mobile app called "Daily Mess" which allows college students to easily locate and browse food halls in their area. The app utilizes the user's current college location to provide a list of nearby food halls, along with information such as distance, price range, and type of cuisine. It is an assistive technology / app that will help local food businesses to increase their customer base and their reach among students. The app will allow business to register as a local mess hall and have options to edit and change different features of their mess halls in real-time. Overall, our app aims to provide college students with a convenient and efficient way to discover and visit food halls in their community.
Matchmaking

Matchmaking is a key feature when developing online multiplayer games. It helps players find opponents based on their attributes, such as rank, skill level, or location.
Working with Puppet Warp

Chapter goal: Focus on the Puppet Warp and how it can be used to alter photos, shapes, gradients, types, and smart objects.
Transform Your Layers in a Non-Destructive Way with Smart Objects

Chapter goal: Using the Edit > Transform menu, you will first work with a layer that is not a smart object and then see how it is better to work with smart object layers so that the edits stay non-destructive until you are ready to flatten a copy of the image.
Fast and Robust Digital Image Spearman's Rho Correlation for Displacement Measurement

The robustness and computational efficiency of digital image correlation (DIC) are two key influencing factors for displacement field measurement applications. Especially when the speckle images are contaminated by salt-and-pepper noise, it is difficult to obtain reliable measurement results using traditional DIC methods. Digital image Spearman’s Rho Correlation (DISRC), as a new DIC technique, has certain robustness to salt-and-pepper noise, but incurs a high computational load when computing subset ranks. It is found that the DISRC can tolerate up to 15% noise level theoretically by analyzing the mean character of Spearman’s Rho. Meanwhile a fast scheme is proposed in which parallelization is adopted for precomputing subset rank and computing for displacement field to accelerate the DISRC. The simulation results indicate that the fast DISRC is about 60 times faster than the original one, and the displacement field results are almost the same between them. The DISRC not only gives as well results as zero-mean normalized cross-correlation (ZNCC) without any noise, but also can tolerate 20% noise level in simulations. A case study also verifies that the result by DISRC is better than ZNCC when contaminated by smaller amounts of noise. The conclusion is that the DISRC is a strong anti-interference DIC technique, which is very important in application under complex environment, and the fast scheme is an effective way to accelerate the DISRC.
Performance Analysis of a 2-bit Dual-Mode Uniform Scalar Quantizer for Laplacian Source

The main issue when dealing with the non-adaptive scalar quantizers is their sensitivity to variance-mismatch, the effect that occurs when the data variance differs from the one used for the quantizer design. In this paper, we consider the influence of that effect in low-rate (2-bit) uniform scalar quantization (USQ) of Laplacian source and also we propose adequate measure to suppress it. Particularly, the approach we propose represents the upgraded version of the previous approaches used to improve performance of the single quantizer. It is based on dual-mode quantization that combines two 2-bit USQs (with adequately chosen parameters) to process input data, selected by applying the special rule. Analysis conducted in theoretical domain has shown that the proposed approach is less sensitive to variance-mismatch, making the dual-mode USQ more efficient in terms of robustness than the single USQ. Also, a gain is achieved compared to other 2-bit quantizer solutions. Experimental results are also provided for quantization of weights of the multi-layer perceptron (MLP) neural network, where good matching with the theoretical results is observed. Due to these achievements, we believe that the solution we propose can be a good choice for compression of non-stationary data modeled by Laplacian distribution, such as neural network parameters.
Encrypted 5G over-the-top voice traffic classification using deep learning

With the commercialization of fifth-generation (5G), the rapid popularity of mobile Over-The-Top (OTT) voice applications brings huge impacts on the traditional telecommunication voice call services. Tunnel encryption technology such as Virtual Private Networks (VPNs) allow OTT users to escape the supervision of network operators easily, which may cause potential security risks to cyberspace. To monitor harmful OTT applications in the context of 5G, it is critical to identify encrypted OTT voice traffic. However, there is no comprehensive study on typical OTT voice traffic identification. This paper mainly focuses on analyzing OTT voice traffic in the 5G network specifically. We propose employing Long Short-Term Memory (LSTM) and Convolutional Neural Networks (CNNs) to identify encrypted 5G OTT voice traffic, study the identification performance of used deep learning methods in three different scenarios. To verify the performance of the proposed approach, we collect 28 types of typical OTT and non-OTT voice traffic from the experimental 5G network. Experimental results prove the effectiveness and robustness of the proposed approach in encrypted 5G OTT voice traffic identification.
Teachers Who, While Using Technological Devices to Teach Mathematics, (Re) Construct Their Specialised Knowledge

In this article, we share the design and implementation of the preparatory phase of a didactical experiment with teachers of mathematics, using informatics technologies, in classrooms intended for young teenagers from 12 to 17 years old from the province of Buenos Aires, Argentina. We based this design on the contributions of different theoretical frameworks (MTSK, Mathematical Working Space, Collaborative Research, Teaching experiment methodology) and analysed the data obtained from the administration of an instrument created ad hoc, to generate information that will allow us to build the didactical experiment. We conclude that the design of the experiment requires a joint reflection between the groups of teachers and researchers, to make the teacher's specialised knowledge explicit, guarantee its performance and goal achieving.
Simulation and Soft Computation on Materials Prognostication Seismic Assessment

The research paper ETABS is an integrated programming software providing mass distribution and rapid analysis of structures building where we can assign loadings per codal provision. Different methods are also available to elongate our research and analysis of the system. This software developed by CSI is also utilized in the designing of Burj khalifa. ETABS is coordinated programming giving mass dispersion and immediate investigation of building designs where one can allocate loadings according to any codal arrangement. Various strategies are additionally accessible to extend our examination and examination of construction. This paper depicts to determines the role of dampers in tall structures. To assess the stability of the system under seismic load considering dampers. To compare two distinct types of dampers to evaluate the seismic effect of different earthquakes. To provide cost analysis of form per SOR to assess the seismic impact on distant earthquakes.
A mathematical model using temporal intuitionistic fuzzy sets

Krassimir T. Atanassov’s intuitionistic fuzzy sets (IFS), one of the extensions of fuzzy sets, have shown to be one of the most effective ways to handle ambiguity. John N. Mordeson and Davender S. Malik developed the idea of a fuzzy finite state machine. Intuitionistic fuzzy finite state machines were created by Jun as a generalisation of fuzzy finite state machines. In order to increase the uncertainty and lower the periodic functions in intuitionistic fuzzy finite state automata, new membership and non-membership functions based on transitions were introduced in this study. Also, temporal intuitionistic fuzzy automata (TIFA) were defined and used to model a pattern.
A Needs Analysis on the Demands of Malaysian Industries for Spoken English Communication Skill at the Workplace - A Concept Paper

English Spoken Communication (ESC) is a skill that is very much needed at the workplace in Malaysia. It’s a skill that is currently in demand by most local businesses from our graduates. This concept paper seeks to propose a qualitative phenomenological research study which employs semi-structured interviews in conducting a needs analysis involving local industries, and undergraduates, specifically interns, with regards to their demands on the ESC skills needed from our local undergraduates upon graduation. At the present, most locally written academic papers on needs analyses are inclined to a quantitative approach or of a mixed-method approach which are heavier on the quantitative aspect which is aimed at a specific industry only. There is a scarcity of research employing a full qualitative approach on the needs analysis which focuses on multiple industries. This concept paper aims to bridge that gap and also in identifying the relevant and lacking thereof ESC skills, at the Malaysian workplace, the usability of said skills, and the expectations of future graduates with regards to ESC. The proposed analysis method will be thematic analysis, codifying and organising the data in order a conclusion can be drawn. It is hoped that with this concept paper, a clearer picture on the English language needs relative to the Malaysian tertiary education sector can be addressed.