Reviewerly/exHarmony huggingface dataset:
Health Information Divide: A Study in Jammu Division

The Internet is a primary part of the everyday life of contemporary Indian; they see it as a safe and confidential source of information on health topics. The aim of the paper is to describe the experience of searching health information on the Internet by respondents from Jammu region. The paper focuses on: examining respondent's access to the Internet; factors related to health information seeking on the Internet; and the factors that affect the accessibility of Internet and led to the digital divide in the society of Jammu region. The data analysis indicates that the respondents are more likely depending on the traditional information sources especially the personal contacts as compared to the Internet for their health information needs. They generally access the information regarding the child health, diet, exercises etc. There is a huge divide across the sample and variables e.g. age, areas, qualification, and their state of health among those who are dependent on the Internet. The paper concludes that the Internet to be used in an efficient way for health promotion it is necessary to gather more complete knowledge of the various aspects  of information (health) behaviour and identify the characteristics of those who have adopted it to seek information and led to the digital divide in this information world.
Adaptively Truncating Backpropagation Through Time to Control Gradient Bias.

Truncated backpropagation through time (TBPTT) is a popular method for learning in recurrent neural networks (RNNs) that saves computation and memory at the cost of bias by truncating backpropagation after a fixed number of lags. In practice, choosing the optimal truncation length is difficult: TBPTT will not converge if the truncation length is too small, or will converge slowly if it is too large. We propose an adaptive TBPTT scheme that converts the problem from choosing a temporal lag to one of choosing a tolerable amount of gradient bias. For many realistic RNNs, the TBPTT gradients decay geometrically in expectation for large lags; under this condition, we can control the bias by varying the truncation length adaptively. For RNNs with smooth activation functions, we prove that this bias controls the convergence rate of SGD with biased gradients for our non-convex loss. Using this theory, we develop a practical method for adaptively estimating the truncation length during training. We evaluate our adaptive TBPTT method on synthetic data and language modeling tasks and find that our adaptive TBPTT ameliorates the computational pitfalls of fixed TBPTT.
A Note on the Durda, Caron, and Buchanan Word Ambiguity Detection Algorithm

In 2010 Durda, Caron, and Buchanan published a paper in INFOR: Information systems and Operational Research, entitled: An application of operational research to computational linguistics: Word ambiguity. In this article the authors developed “a new measure of word ambiguity (e.g., homonymy and poly semy) for use in psycholinguistic research”. In our work we propose some modification of their algorithm.
2019, A Year of Anniversaries for Alex Speer and the Mineralogical Society of America

The year 2019 is an important one for the Mineralogical Society of America (MSA) and Dr. J. Alexander Speer, MSA executive director. It is the one-hundredth anniversary of the society, it is Speer'...
A Review of Trends and Techniques in Recommender Systems

Recommendations provide a way for users to access content which might interest them but would have been difficult otherwise. General Recommendations satisfy most consumers but because of the varied interests of the population, personalized recommendations is the solution which we seek. This paper discusses the Collaborative Filtering, Content-Based, Hybrid approaches(and the algorithms used by these techniques). Each approach has their pros and cons and they are evaluated using the Evaluation Metrics. The approach which performs best according to the domain of application should be selected. This study also reviews these evaluation metrics.
Human Activity Recognition : Deep learning techniques for an upper body exercise classification system

Most research behind the use of Machine Learning models in the field of Human Activity Recognition focuses mainly on the classification of daily human activities and aerobic exercises. In this stud ...
Design of Rescue and Health Monitoring Bracelet for The Elderly Based on STM32

China has gradually entered an aging society, few studies have focused on smart wearable devices for the elderly. In this paper, the bracelet communicates with the APP on the smart phone through Bluetooth signal to achieve temperature and heart rate monitoring and one-button rescue function. STM32F103 is used as the MCU of bracelet ST188 is used for monitoring heart rate. MLX90614 is used to measure temperature. This system realizes body monitoring and one-button rescue function. It is proved that pressing the help button can call an emergency contact within two seconds and send the user's location and heart rate to the emergency contact. It plays an important role in buying valuable time for the effective treatment of sudden diseases of the elderly.
Bridging the Digital and Physical: Increasing Engagement with the Grateful Dead Archive at UC Santa Cruz

The UC Santa Cruz University Library supports the creation of digital projects which aid student scholarship, enhance on-site exhibit experiences, engage broader communities through online exhibitions, and promote our unique collections. This case study explores the use of a digital tool, ThingLink, to create a virtual 360° tour of a library exhibit space which features material from the Grateful Dead Archive. Librarians and students created this virtual tour (https://guides.library.ucsc.edu/loveonhaight360) in order to promote the library’s collections, engage students in creating new forms of scholarly work, preserve a record of a physical exhibit after deinstallation, and increase use of library resources.
Technicalities Of Multi-Design In The Internet Environment

In the modern world, project techniques are becoming increasingly popular in various spheres of life, developed in both traditional and new forms media. Project technologies are one of the most effective forms of work with video content in an online space. Most often they take the form of multi-projects. By multi-projects, we mean projects that share broad topics but are different in formats of video products, the purpose of which is to provide the most detailed coverage of some aspect of our lives. In our study, we explore the forms of manifestation of multi-projects in an online environment. It is the online environment that is the optimal platform for the implementation of a multi-project due to the fact that the multi-project allows one to appeal to different audiences and form a community of people around itself that is united only by information needs. Simultaneously, the various components of the multi-project will be of interest to different audiences, but in general, it will be united by the project, which makes it possible to successfully use multi-projects to form public opinions. Based on research of modern internet video content of the Russian-speaking Internet sector, we define types of multi-projects according to such features as a target audience, method of production, thematic focus, genre, delivery form, production schedule. Analysis of online resources allows us to demonstrate the integration of multi-project forms into online content and the tendency for their development based on multimedia, interactivity and modularity.
Creating Evolving Project Data Sets in Software Engineering

While the amount of research in the area of software engineering is ever increasing, it is still a challenge to select a research data set. Quite a number of data sets have been proposed, but we still lack a systematic approach toLewowski, Tomasz creating ones that would evolve together with the industry. We aim to present a systematic method of selecting data sets of industry-relevant software projects for the purposes of software engineering research. We present a set of guidelines for filtering GitHub projects and implement those guidelines in a form of an R script. In particular, we select mostly projects from the biggest industrial open source contributors and remove projects in the first quartile in any of several categories from the data set. We use the latest GitHubMadeyski, Lech GraphQL API to select the desired set of repositories. We evaluate the technique on Java projects. Presented technique systematizes methods for creating software development data sets and their evolution. Proposed algorithm has reasonable precision—between 0.65 and 0.80—and can be used as a baseline for further refinements.
Low Cost Fall Detection Based on Cortex M4

This paper presents a first indoor prototype of a fall detection device based on a Cortex M4 microcontroller. The main features of this device are its low cost, the communication capabilities that permit to send alarms and that it does not require the users to bring any device in their body.
CBMeMBer Filter for Extended Target Tracking Based on Binomial Measurement Number Model

Targets that give rise to multiple measurements for each scan in high-resolution sensors are defined as extended targets. In general, existing algorithms based on the random finite set (RFS) theory assume that the number of measurements generated by an extended target follows a Poisson distribution; however, this assumption has been found to be inaccurate and inconsistent with actual situations. To address this problem, an extended target cardinality balanced multi-target multi-Bernoulli (ET-CBMeMBer) filter based on a binomial measurement model is proposed. Firstly, it is assumed that each extended target's measurement number is binomial distributed. Then, its updated equations are analytically derived and relevant proofs are provided. Finally, simulated results illustrate the proposed filter's effectiveness and superior tracking performance compared to the Poisson ET-CBMeMBer filter.
Pedagogical Strategy of Writing Paragraph Using Edmodo to Enhance Writing Skill for EFL Students

In today's digital era, there are a number of social media that can be used as a tool to help writing skills for those who learn English. One of the media is Edmodo. Edmodo is a social networking based learning platform that is intended for teachers, students and parents. In this study, the researcher integrated Process and Genre-Based Approach with Edmodo as a teaching strategy. The participants are the students from the 2nd semester of English Language at Wijaya Putra University to write a paragraph on Edomodo wall based on the topics designed. The procedure for developing the model applied in this study consisted of: planning, implementing, observing, and reflecting. The research found that 70% of the students support to use Edmodo in writing class while 30% of them gave a neutral opinion. Edmodo as an online media supports the effectiveness of teaching learning process proved by the improvement of the students’ writing skill in which their score increase dramatically. The main barriers of the use of Edmodo is incompatibility of their smartphone applications and confusion of using the application.
Impact of PECA-2016 Provisions on Freedom of Speech: A Case of Pakistan

Prevention of Electronic Crime Act, PECA-2016 is a procedural and penal law in Pakistan deals with the cyber or digital space. This research is to explore about the freedom of speech regime in Pakistan. It also provides the in-depth overview of PECA-2016 and analyses the effect of certain provisions of PECA-2016 on the practice of freedom of speech in cyberspace e.g. internet and whether these provisions promote or hinder the right to freedom of speech. The research is purely qualitative based on thorough document analysis. Results demonstrates that certain provisions of PECA do not have enough safeguards to secure access to quality research and quality knowledge- including freedom of human rights , specially right to freedom of speech, both, online and offline. Hence, it is suggested to policy makers to improve or repeal the current status of PECA-2016 on priority basis.
Explore Correlation Between Body Balance and Perception using mHealth Technology

Body balance and perception have been shown to be linked in a number of studies, ranging from plasma membrane calcium ATPase isoform PMCA2 deficiency causing both balance and hearing problems in mice to MS (multiple sclerosis) patients' loss of foot sole sensitivity correlating with compromised balance. This project involved developing a system that tests balance as well as hearing using Augmented Reality (AR) and mobile health (mHealth) technology. Four balance tests are included in the AR application; three are from Smart Balance Master (Limits of Stability, Rhythmic Weight Shift, Sit to Stand), and the fourth is a modified Single Leg Stand with 32 sensory conditions. Hearing is tested within the same application through beeps played sequentially at frequencies of 500 Hertz, 1000 Hertz, 2000 Hertz, 4000 Hertz, and 8000 Hertz for each ear. The first volume level they are played at is less than 10 Hertz and this can be sequentially increases in increments of 10 decibels up to 100 decibels until the player can hear the beep; this volume level is recorded. The application is meant to be used with Wearable Gait Lab (WGL), an underfoot plantar pressure unit. The user wears Microsoft HoloLens (which runs the AR application) and WGL (which records balance data); experimental data is analyzed for a correlation between perception and balance in ten young adults as a proof of model.
Terrorism and Corporate Social Responsibility: Testing the Impact of Attacks on CSR Behavior

This is the first study to empirically examine the effects of terrorism on corporate social responsibility (CSR). Their relationship is not intuitive. The theoretical literature on CSR suggests that societal vicissitudes increase CSR demand, but can also incentivize self-regarding behavior. Historical accounts of terrorist attacks and other disasters confirm that they have at times elicited altruism and selfishness from the private sector. To clarify this variation in the impact of terrorism on CSR, we propose and test a rationalist explanation of firm behavior on an original dataset collected from the United Nations Global Compact Initiative that covers the CSR-investment of 12,851 companies from 103 countries between 2002 and 2014. Across model specifications, evidence abounds for our thesis that companies condition CSR-giving on the apparent severity of the terrorism threat to their organizational survival. Companies evidently behave selfishly even with charity.
Techno-pedagogical resources to support teaching: Augmented reality as a dynamic tool for the substitute teacher

espanolLa educacion actual esta marcada por un proceso de actualizacion tecnologica, siendo la realidad aumentada (RA) una de las tecnologias con mayor proyeccion en el ambito educativo. Se trata de una innovadora tecnica que genera una realidad intermedia entre el entorno fisico y el mundo virtual, a traves de la conversion de objetos cotidianos a elementos digitales en 3D, permitiendo a sus usuarios interactuar con ellos a traves de un dispositivo movil. Esta tecnologia permite adaptarse a cualquier situacion, como aquellos momentos en los que un docente tiene que sustituir a otro durante la jornada escolar. El objetivo del presente estudio se centra en conocer la influencia que ejerce en el alumnado de Educacion Secundaria Obligatoria la aplicacion de una experiencia innovadora basada en la utilizacion de la RA como herramienta dinamizadora de las sesiones en las que el profesor titular de una asignatura se encuentra ausente y tiene que ser suplido por otro docente. Para ello se ha seguido un diseno no experimental de tipo descriptivo y correlacional, a traves de un metodo cuantitativo. Se ha aplicado un cuestionario ad hoc en una muestra de 210 alumnos, de un centro educativo de Ceuta (Espana). Los resultados reflejan que la puesta en practica de la experiencia ha contribuido al alcance de valores positivos en la motivacion y participacion discente, consecucion de objetivos, competencia digital, clima de aula y todo ello con escasas dificultades en los discentes, hallandose diferencias estadisticamente significativas en cuanto al genero y curso del alumnado. EnglishCurrent education is marked by a process of technological updating, with augmented reality (AR) being one of the technologies with the greatest projection in the educational field. It is an innovative technique that generates an intermediate reality between the physical environment and the virtual world, through the conversion of everyday objects to digital elements in 3D, allowing its users to interact with them through a mobile device. This technology allows adapting to any situation, such as those moments in which a teacher has to replace another during the school day. The objective of this study is to know the influence exercised in the students of secondary education the application of an innovative experience based on the use of the AR as a dynamic tool of the sessions in which the professor of a subject is absent and has to be replaced by another teacher. To this end, a non-experimental design of a descriptive and correlational type was followed through a quantitative method. An ad hoc questionnaire was applied to a sample of 210 students from an educational center in Ceuta (Spain). The results reflect that the implementation of the experience has contributed to the reach of positive values in motivation and student participation, achievement of objectives, digital competence, classroom climate and all this with few difficulties in the students, being statistically significant differences in regarding the gender and course of the student body.
Analisa Kinerja Algoritma C4.5 Dalam Menentukan Pola Dominasi Mainstream Mahasiswa

The study program is a unit of education and learning activities that has a curriculum and learning method. Each studi program ga a curriculum, in which the curriculum is a set regulatory plans to achieve graduate learning outcomes, study material, processes and assesments that are used as guidelines for the implementation of study program. The main stream of elective and talents. C4.5 algorithm is one method of algorithm that has a decision tree or decision tree, by utilizing data from academics about the selection of the mainstream courses. Bases on the result of the study, the analysis of C4.5 algorithm in determining the pattern of student dominance shows the 73% can be used as a reference marerial in determining student interests and talents
THE CORRELATION BETWEEN STUDENTS’ ANXIETY AND STUDENTS’ ACHIEVEMENT IN LEARNING ENGLISH

The objective of the study was to find out the correlation between students’ anxiety and students’ achievement in learning English. The research design was correlational research which consisted of two variables, independent and dependent variable. The sampling technique was probability sampling with cluster random sampling. The sample in this research was thirty nine students of X8 social class of SMAN 08 Batam. Foreign Language Classroom Anxiety Scale (FLCAS) by Horwitz was addressed to check the existence of students’ anxiety. The instrument to measure the students’ achievement was a diagnostic test which consists of listening and reading comprehension test. After tested the validity and reliability of the test by using SPSS V.16.0, the researcher distributed the test to the sample. Then, the researcher analysed the correlation by using Product Moment Formula by Pearson to correlate both students’ anxiety (X variable) and students’ achievement (Y variable). The result showed that the r count or Pearson correlation was 0.092. The r table for 39 respondents is 0.312. It means that r count is lower than r table and Ha is rejected and Ho is accepted. The r count showed -0.092. Hence, there was significant negative correlation between Students’ Anxiety and Students’ Achievement in learning English at the tenth grade students of Senior High School 08 Batam.
MU_PSYC: Music Psychology Enriched Genetic Algorithm

Recent advancement of artificial intelligence (AI) techniques have impacted the field of algorithmic music composition, and that has been evidenced by concert performances wherein the audience reportedly often could not tell whether music was composed by machine or by human. Among the AI techniques, genetic algorithms dominate the field due to their suitability for both creativity and optimization. Recently, many attempts have been made to incorporate rules from traditional music theory to design and automate genetic algorithms. However, due to the exclusive use of a very constrained set of traditional music rules and their primitive nature, the field seems to face stagnation. This paper is aimed at addressing the above limitation and hence paving the way to advance the field towards composing human-quality music. The basic idea is to look beyond this constrained set of traditional music rules towards music universals and music-psychology. To demonstrate the proposed approach, we implemented a prototype genetic algorithm and conducted a limited experiment to test the quality of its composition. The initial result is interesting and encouraging.
Enriching The Mentor-Student Relationship For A Successful Partnership In Teaching

The lack of qualified teachers, the decline in the status of this profession among young people, the criticism of teacher training institutions, the increased attractiveness of other fields of activity, the lack of selection in the teaching profession, the lack of support and support for the onset of the profession, leaving the system only after a few years of activity, are imperative to the need of think over about teacher training systems and also to enrich an efficient relationship between a mentor and his debutant/future teacher. Thus, our educational system are looking for solutions to streamline and modernize school and education, and one of the components to be considered is the component of the quality of human resources, namely future teachers. In our country, the practical training system for future teachers is organized simultaneously with the acquisition of the theoretical component. An important role in the efficient realization of the pedagogical practice, besides the practical and theoretical notions in the field, also plays the collaboration between all the actors involved in its organization and development, namely: educators, teachers, mentors, tutors and practice coordinators, and in the last but not least, teachers of pedagogy, psychologists. The aim of this article is to underlined the importance of the efficient relation between a mentor and his mentee. The main quality of a mentor consists in giving it to a student/future teacher his/her experience, giving him/her a model of conduct, professionalism and support in everything that involves design, teaching and evaluation
Google's hate speech AI may be racially biased

AIs that spot abusive online content are up to twice as likely to identify tweets as offensive when by people who identify as African American
Creating A Personal Cloud Storage Using NAS (Network Attached Storage)

On the contrary to economical perspective of cloud storage many cloud providers concern only about the mass usage of organisation leaving behind the individual users who rely on third party providers such as Google, Amazon, Dropbox. This increases the high risk of data integrity and reliability. Data security becomes a major question here. Hence this paper breaks the economical perspective and makes sure that each individual able to have their own cloud device which provides full access towards their data in terms of security and integrity. This is accomplished using NAS (Network Added Storage) this can be used as solution for having our own personal cloud storage this reduces the cost when compared to that of paying monthly subscriptions to third party cloud providers.