Reviewerly/exHarmony huggingface dataset:
Hindustani or Hindi vs. Urdu: A Computational Approach for the Exploration of Similarities Under Phonetic Aspects

The semantic coexistence is the reason to adopt the language spoken by other people.In such human habitats, different languages share words typically known as loan words which appears not only as of the principal medium of enriching language vocabulary but also for creating influence upon each other for building stronger relationships and forming multilingualism.In this context, the spoken words are usually common but their writing scripts vary or the language may have become a digraphia.In this paper, we presented the similarities and relatedness between Hindi and Urdu (that are mutually intelligible and major languages of Indian sub-continent).In general, the method modifies edit-distance; and works in the fashion that instead of using alphabets from the words it uses articulatory features from the International Phonetic Alphabets (IPA) to get the phonetic edit distance.This paper also shows the results for the languages consonant under the method which quantifies the evidence that the Urdu and Hindi languages are 67.8%similar on average despite the script differences.
INTEGRATED CRYPTOGRAPHICAL ACCESS CONTROL OVER NETWORK PROJECT

Cryptanalysis is a new ID-based encryption scheme proposed by Meshram. I found a method for factor N, where N is the parameter proposed by Meshram. We also provide a method for retrieving the Secret Master key for Mayshram’s ID-based encryption scheme. Identity-based (ID-based) cryptography is very useful because it simplifies certificate management in public-key cryptocurrency. For the design of the Integrated File Level Cryptographic Access Control (IFLCAC) system, it makes file security much easier for the end-user. This system combines the advantages of traditional file-level cryptography and full-disc cryptography systems, making it safe and easy to use. We first look at existing file cryptography systems, compare them to two, and then describe the interactions between components and components of the integrated file-level cryptographic access control system. Because its defense relies on the difficulty of discrete logarithmic and integer factor problems, it proves that his scheme is safe against favorable select-plain invasion. We show that this new ID-based encryption scheme is not secure by introducing a method to retrieve the secret master key.
Teen engagements with data in an after-school data literacy programme at the public library

Introduction. The study presents a preliminary model of teen engagement with data in the context of data literacy activities at the public library. The model contributes to knowledge in the area of human data interaction, specifically as relates to the affective domain, to data literacy, and to the special context of informal learning at the public library. Method. The study takes a critical data literacy stance and is framed by theory about interest and engagement drawn from the field of informal learning. Analysis. Data analysis was inductive and iterative, proceeding through multiple stages. Open coding of feedback forms and the observation notes from twenty-seven data literacy workshops for teens revealed facets of teen engagement with data in the public library. Results. Feedback forms completed by teen participants suggest high interest and engagement with data during the data literacy activities. Themes derived from analysis help to tell the story of youth engagement with data literacy at the public library, including: personal connections to data, embodied learning, interactions with data through facilitation techniques (analogy as one such example), opportunities for inquiry and discovery, social arrangements that encourage interaction, and adopting a playful attitude to learning. Conclusions. Future research in youth data literacy programmes at the public library should further explore the variables of engagement identified in this study.
Collaboration in Science

The article provides a brief overview of the philosophical and methodological problems of modern collaborative research. Collaborations – distributed organizations with variable membership, consisting of a large number (sometimes several thousand) of participants – are common in experimental high-energy physics studying microcosm objects, elementary particles arising in collisions of beams of accelerated particles and nuclei at collider accelerators, as well as in biomedicine and climatology. The central issues are authorship, epistemic ownership and dependence in collaborations, the division of epistemic labor in interdisciplinary research, as well as related issues of scientific organization – peer review and distribution of credit in a team. Formally, the author, conceived as a list of persons appearing as authors of a collaborative scientific work, seems to be defined by the specific participants of the collaboration core, i.e., is a construct. However, the question can also be understood as “What does it mean to be the author of a scientific work?”, and then the answer becomes much less certain. Authorship of thousand-people articles is justified psychologically as the desire for regular performance of a ritual, which allows demonstrating joint belonging to a certain tradition, such as a long experiment, affiliation with the “workshop” of scientists studying phenomena of the microworld, which allows scientists, despite of their daily preoccupation with technical routines, to distinguish themselves from non-epistemic communities (engineers, technicians). However, specific rules that determine exactly who and why are worthy of being included as co-authors have been undergoing changes in recent years. In addition to theoretical significance, many of the problems discussed are related to actual practical issues of scientometry and the organization of scientific research, and therefore approaches to their solution can be directly embodied in scientific policy.
In-Network Caching and Edge Computing-Based Live Broadcasting Optimization for Football Competitions

The business of football competitions is called the number one sport in the world, thanks to more than one billion people’s attention. With the development of big convergence media, the live broadcasting of football competitions gradually becomes industrialization and commercialization, which has a direct relationship with economic growth. For the live broadcasting of football competitions, the users focus more on quality of experience, i.e., definition and instantaneity. In terms of such two metrics, the current live broadcasting schemes are difficult to cover them well. Therefore, this paper exploits the emerging in-network caching and edge computing technologies to optimize the live broadcasting of football competitions, shorten for IELB. At first, the live broadcasting optimization framework based on in-network caching and edge computing is presented. Then, the auction-based method is used to address the task scheduling problem in the edge computing. In addition, a video compression algorithm based on adaptive convolution kernel is introduced to accelerate the video transmission and guarantee users to obtain the contents of football competitions as quickly as possible. The proposed IELB has been verified based on the collected real football competitions dataset by evaluating response time, and the experimental results demonstrate that IELB is feasible and efficient.
Indian MSME’s Sustainable Adoption of Blockchain Technology for Supply Chain Management: A Socio-Technical Perspective

This article studies the adoption of blockchain technology in Indian Micro, Small, and Medium Enterprises (MSME) in the context of innovations in supply chain management (SCM) using blockchain technology. Besides finance, SCM is one of the main areas where disruptive innovations based on blockchain technology are going to be deployed. Blockchain technology's unique proposition lies in the attributes of trust, transparency, traceability, immutability, and decentralization. MSME's form the backbone of the Indian economy. This article provides a socio-technical factors-based analysis of the adoption of blockchain technology in Indian MSME, particularly in a SCM context. Sustainability is an important variable that is expected to moderate the relationship between socio-technical factors and large-scale adoption. The relationships are tested via a survey of professionals in MSMEs in India who are both familiar with blockchain technology and sustainable SCM. This study shall offer a deeper understanding of the application of socio-technical systems theory for the adoption of blockchain technologies by MSMEs in India.
An improved fuzzy ant colony system for route selection based on real time traffic condition

&lt;span id="docs-internal-guid-43a74def-7fff-f5f6-9f3c-4828e591ebd1"&gt;&lt;span&gt;With city conditions that often have congestion, a driver need to find a route of the many possible routes that may occur from origin to destination by considering several factors. The weaknesses of the ant algorithm is the dependency of required parameter values and must be set manually. This paper will make improvements to the fuzzy ant colony system (FACS) with minimize parameter dependency by using fuzzy logic to determine the probability of the next node visited by ants. There are four criteria or input variables for fuzzy inference system, that is “Pheromone Intensity”, “Distance”, “Vehicle Intensity”, and “Average Speed”. The routes generated by improved FACS (I-FACS) are more varied than the FACS algorithm. The best condition obtained by I-FACS was at point O/D= 112/34 where at 05:00, I-FACS was able to obtain the route with the best length compared to ACS and FACS. The result of the comparison of the route distance obtained shows that I-FACS is able to produce a better route by 4.16% than FACS by looking at the average distance difference on ACS. This method is expected to be a reference for the development of smart transportation in support of smart mobility, which is one of the components in the smart city concept.&lt;/span&gt;&lt;/span&gt;
Unsupervised Learning of Slow Features for Data Efficient Regression

Research in computational neuroscience suggests that the human brain's unparalleled data efficiency is a result of highly efficient mechanisms to extract and organize slowly changing high level features from continuous sensory inputs. In this paper, we apply this \textit{slowness principle} to a state of the art representation learning method with the goal of performing data efficient learning of down-stream regression tasks. To this end, we propose the \textit{slow variational autoencoder} (S-VAE), an extension to the β-VAE which applies a temporal similarity constraint to the latent representations. We empirically compare our method to the β-VAE and the Temporal Difference VAE (TD-VAE), a state-of-the-art method for next frame prediction in latent space with temporal abstraction. We evaluate the three methods against their data-efficiency on down-stream tasks using a synthetic 2D ball tracking dataset and a dataset generated using the DeepMind Lab environment. In both tasks, the proposed method outperformed the baselines both with dense and sparse labeled data. Furthermore, the S-VAE achieved similar performance compared to the baselines with 1/5 to 1/11 of data.
Students Perception for Adopting Marketing Tools in University Libraries on the Basis of Their Backgrounds

This paper examines the perception range of students belonging to different backgrounds viz. urban, semi-urban and rural, for implementing various tools for marketing library resources and services. It attempts to investigate those marketing tools which according to the users could be most suitable for marketing library resources and services. This is a survey based research study conducted by administering a structured questionnaire designed for the users. The data from eight state university libraries of North Western India was collected from users belonging to different residential backgrounds. The major findings illustrated three types of marketing strategies i.e. ICT/ Web, Web 2.0 and traditional tools may be adopted for making the students aware about library resources and services. The study also revealed the fact that libraries must employ Web 2.0 technologies usually as a great majority of respondents are Web 2.0 savvy and leant towards this form of promotion. Further it was also found that despite varying backgrounds except a few marketing tools there did not exist any major difference in the opinion of the users with regard to adoption of various marketing tools.
Model of integration of competencies in a professionally-oriented education

It is noted that in higher professional education there is a global trend of the growing number of students combining the process of studying at the University with employment in the workplace in order to form a basis for their future professional and specialized career. Modern researches of the existing educational standards reveal the fact that there are practically no models meeting the needs of a new perspective on the organization of professionally-oriented training. It is suggested that the topological description on the basis of the graph theory, namely the cognitive model which has already been tested in the study of such problems in education should be used as a theoretical and methodological basis of the study. The cognitive model allows to involve the available model descriptions of educational processes, namely, structural-dynamic descriptions interpreted in this case as logical-semantic and causal. A multi-circuit cognitive model of professionally-oriented education based on the integration of competencies is proposed. The authors propose a multi-circuit cognitive model of professionally-oriented education based on the integration of competencies. The Central place in the model is given to the target chain of factors: Integration of competences → Professional competences → Educational and production process. This model helps transmit and synchronize signals across all model contours, continuously initialize the target model functioning, and analyze the achieved level of professional competencies in the integration process. It is on this axis that all four contours of the model are strung, which eliminates the loss of the target determination of the structure. The model implements the principle of professional orientation of education. Thus it is possible to balance the advantages of the educational competences received as a result of educational process, as well as the peculiarities of the production competences generated in manufacturing by means of their integration. Professional competencies in the model do not dominate, but rather are the result of continuous integration of both educational and industrial competencies.
Improving TB-Related Knowledge and Behavior with Sembuh TB App towards Indonesia TB Elimination

IntroductionAlong with the rapid development in technology, a handful of mobile interventions are now introduced to improve outcomes in TB medication.Sembuh TB app is an Android app, designed to increase medication adherence for tuberculosis patients in Indonesia.This report has an objective to analyse the influence of SembuhTB app in improving TB-related knowledge and behaviour among TB patients, as well as reaching 2022 target for 90% treatment success rate.MethodsTwo methods were conducted in order to reach the study objective. First method involved initial interview with stakeholders. Meanwhile in the final method or demonstration project, feedbacks received from stake holders interview were evaluated and applied to the TB patients as subjects using the app.ResultsIn initial interview, total sample of 69 individuals were gathered. The interviews demonstrated that the app indeed has strong potential to be used by and have desired effects on TB patients. It also pointed to the importance of target segmentation for mobile apps; apps are more suitable to younger generations than to older generations.Meanwhile, a total of 45 users were recruited to participate in the demonstration project. There were 10 active users (22%) at the end of the three-month period of the project and they performed better than app dropouts acrossfour proxies of app effectiveness indicators.ConclusionThis study succeeded in identifying specific features to be improved and, more importantly, proving the potential of the Sembuh TB App in improving TB-related knowledge and behaviour if the app can be used properly and continuously
An HTTP Video Stream Identification Method Based on Wavelet Packet Analysis and SVM

Refined traffic identification is the basis for operators to reasonably manage the network while effective feature extraction is a crucial part of it. As the dominant component of traffic, video traffic should be studied carefully. In this work, an HTTP video stream identification method making innovations in feature extraction utilizing wavelet packet analysis is proposed, and the Support Vector Machine(SVM) is applied. By regarding traffic as a signal, some frequency-domain features can be extracted. As an experimental analysis, our proposed method is validated from a publicly available dataset of real network traffic. The qualitative and quantitative experimental results show that the classifier with the union of time-domain features and frequency-domain features outperforms the one with time-domain feature set in the conventional methods in terms of accuracy, F-measure, precision and recall.
Discourse Parsing for Contentious, Non-Convergent Online Discussions

Online discourse is often perceived as polarized and unproductive. While some conversational discourse parsing frameworks are available, they do not naturally lend themselves to the analysis of contentious and polarizing discussions. Inspired by the Bakhtinian theory of Dialogism, we propose a novel theoretical and computational framework, better suited for non-convergent discussions. We redefine the measure of a successful discussion, and develop a novel discourse annotation schema which reflects a hierarchy of discursive strategies. We consider an array of classification models -- from Logistic Regression to BERT. We also consider various feature types and representations, e.g., LIWC categories, standard embeddings, conversational sequences, and non-conversational discourse markers learnt separately. Given the 31 labels in the tagset, an average F-Score of 0.61 is achieved if we allow a different model for each tag, and 0.526 with a single model. The promising results achieved in annotating discussions according to the proposed schema paves the way for a number of downstream tasks and applications such as early detection of discussion trajectories, active moderation of open discussions, and teacher-assistive bots. Finally, we share the first labeled dataset of contentious non-convergent online discussions.
Youth Slang In Social Nets (A Case Study Of Spanish Language)

The modern lifestyle implies a high speed of information transfer. Young people communication interlinks strongly with information technology and takes place within the framework of social networks, instant messengers, forums and chats. Thus, many words of the spoken language are distorted, rethought and attached with additional meanings leading to a specific youth texting slang. The relevance of the research is due to the high interest of modern Linguistics in special features of today’s youth slang on social media and the ways of word formation in computer-mediated communication. The purpose of the study is to consider the corpus of chat messages posted on Instagram by Spanish young people aged 16-20, to identify the ways of youth slang formation and to single out specific spelling features of texting. A new type of communication mediated by gadgets contributed to the emergence of a special oral-written texting language that is a set of generally accepted abbreviations and nonverbal symbols, which allows conveying a maximum of meaning in a minimum of characters. The analysis of the assembled corpus of chat messages shows that many of their linguistic features have signs of oral colloquial speech and are associated with the predominantly dialogical and informal nature of chat communication. The methodological basis of the research are discursive and communicative approaches. The obtained research results may be useful for special lectures on Spanish Descriptive Lexicology and Internet discourse.
Salary Estimator using Data Science

This paper presents a salary prediction system using the job listings from an employment website, in this case Glassdoor.com. A data mining technique is used to generate a model which will scrape number of jobs from the employment website, clean it on the basis of number of factors including the rival companies, revenue and skill required thereby predicting the salary to be expected when applying for a data science job. Techniques like linear regression, lasso regression, random forest regressors are optimised using GridsearchCV to reach the best model. The model can be further extended to build a flask API thus can be deployed on the internet for public usage.
LIBRARY PROMOTION AND USER ENGAGEMENT IN PANDEMIC TIMES: THE CASE OF KAZAKHSTAN

Objectives. In these trying times due to the global effect of pandemic, what social media accounts do academic libraries in Kazakhstan maintain and how can they improve their social media engagement to continuously connect with their stakeholders? This report provides an overview of the current status of social media engagement of selected academic libraries in Kazakhstan during the COVID-19 crises. This paper will give us a picture about the kinds of online postings shared by these libraries particularly with the use of Facebook. Methods. The top two universities ranked by Independent Quality Assurance Agency (IQAA) were considered in this report to be compared with the only autonomous organization of education in Kazakhstan. The library social media accounts of these three organizations were investigated to review the number of followers, frequency of posting, and its overall social media engagement. Data collected is publicly available to all potential users, followers, or subscribers. Using the post engagement rate (PER) formula introduced by Socialbakers (2013) and adapted by Peñaflor (2018) and Magno (2016), this report identifies and analyzes the average PER Facebook pages maintained by academic libraries. The engagement metrics looked into the number of interactions and the widest reach possible in every post. All three academic libraries investigated maintain a Facebook page. The other account was just created last February 2020. To compare Facebook data during the pandemic times, public information available from June – August 2020 was measured. Results. The social media platforms operated by the academic libraries in Kazakhstan are Facebook, Twitter, Instagram, VK, and YouTube. One of the earliest academic library Facebook accounts established in Kazakhstan started in 2010 with less than 3,000 accumulated followers after ten years. This shows a very slow rise in the number of followers considering an academic population of more than 5, 000 people in 2020. Data revealed that Eurasian National University Library’s Facebook account had a higher PER of 0.83 even if it only debut in 2020 compared to the Facebook page of Nazarbayev University which garnered 0.22 PER. KAZNU Library’s Facebook page had the highest PER of 1.02. Conclusions. Facebook is the most popular social media platform across the globe but it is not the case in Kazakhstan. Library marketing and promotion in Kazakhstan needs to be addressed as public relations is not the primary focus. The utilization of social media as a tool for user engagement is not fully developed. One way to look at it is to consider library staffing and identify their marketing background. The pandemic situation must be the turning point of academic libraries to enhance their reach with their stakeholders. It was a test to know the readiness of the library in terms of online communication and interaction.