Reviewerly/exHarmony huggingface dataset:
THE ROLE OF FAMILY STRUCTURE AND PARENTING ON THE ACADEMIC PERFORMANCE OF TEENAGE CHILDREN: THE CASE OF EMBAKASI CONSTITUENCY OF NAIROBI COUNTY

The family is usually the major source of the basic necessities which is made possible by the prevailing socio-economic, environmental and sometimes political conditions. However, the structure of family influences the provision of the basic needs to the adolescents and hence their school attendance and concentration in class. This study sought to examine the role of family structure and parenting on the academic performance of teenage children, to establish the types of family structure, to identify the characteristics of different types of family structure, to examine the relationship between family structure and school related activities among teenagers, to establish the effect of family structure on academic performance of teenagers and to examine how family structure in relation to socio-economic status influence the academic performance of teenagers. This research study used a descriptive research design. The target population of this study was 385 3rd year students and teachers in the four public secondary schools. In addition, this study used systematic sampling method to select 20 percent of the target population. The sample size of this study was 77 respondents and 8 teachers. The study used primary data which was collected by use of questionnaires; which included structured and unstructured questions. Quantitative data was analyzed by use of descriptive and inferential statistics with the help of a data analysis software, Statistical Package for Social Sciences (SPPS). The study also used correlation analysis to establish the relationship between the dependent variable and independent variables. The study found that there is an association between socio-economic status and parenting and academic performance of students in secondary schools. Family structure influences self-esteem, class concentration, parental support, school attendance and tardiness, parent-teenager relationship among teenagers. The study also revealed that school fees payments, healthy cognitive and social development and the provision of good uniform (clothing) influence the academic performance of the teenagers significantly. The various stakeholders in the education sector need to come up with strategies to identify various backgrounds of different students in their schools. This may enable them to understand clearly the nature of each student and thus being able to handle them with ease and appropriateness so as not to hamper the educational progress. In addition, there is also need for guidance and counseling processes in the public secondary schools. The main role of these counseling sessions may be to encourage and motivate the students to see beyond their limitations and put more focus on the future through persistence and determination in their education.
THE INFLUENCE OF MULTIMEDIA ON LEANING OUTCOME IN SOCIAL STUDIES SUBJECT OF THE GRADE V STUDENTS AT SD INPRES GUNUNG SARI

This study aims to determine the effect of multimedia on the learning outcomes of fifth grade students in social studies learning at SD Inpres Gunung Sari. The method used in this study is the pre-experiment method with one group research design pre test post test design. The study was conducted on fifth grade students at Gunung Sari Inpres Elementary School in the 2019/2020 study year. The sampling technique is done by saturated sampling. Data collection was carried out using the initial test instrument and the final test to find out the improvement of student learning outcomes after the learning media was applied during the learning process as well as a questionnaire to find out student responses regarding the use of multimedia in the learning process. The results showed that the average score of a student's initial test was 68.09 and the average score of a student's final test was 90.47, which showed an increase before and after learning by using multimedia. In addition, the effect of multimedia on student learning outcomes can be seen from the hypothesis test which shows that the results of t arithmetic greater than t table that is equal to 6.669> 2.086. Because it is known t arithmetic> from t table then the null hypothesis (Ho) is rejected and the alternative hypothesis (Ha) is accepted. So from this study it can be concluded that there is an influence of the use of multimedia on the learning outcomes of Social Studies grade V SD Inpres Gunung Sari.
Messiah University student goes viral learning first hand the value of his marketing classes

Messiah University student goes viral learning first hand the value of his marketing classes
Moderating Content Moderation: A Framework for Nonpartisanship in Online Governance

Internet platforms serve two important roles that often conflict. Facebook, Twitter, YouTube, and other internet platforms facilitate the unfettered exchange of free speech by millions of people, yet they also moderate or restrict the speech according to their “community standards,” such as prohibitions against hate speech and advocating violence, to provide a safe environment for their users. These dual roles give internet platforms unparalleled power over online speech—even more so than most governments. Yet, unlike government actors, internet platforms are not subject to checks and balances, such as courts or agencies that must follow well-defined procedural rules, affording notice, due process, and appellate review. Internet platforms have devised their own policies and procedures for content moderation, but the platforms’ enforcement remains opaque—especially when compared to courts and agencies. Based on an independent survey of the community standards of the largest internet platforms, this Article shows that few internet platforms disclose the precise procedural steps and safeguards of their content moderation—perhaps hoping to avoid public scrutiny over those procedures. This lack of transparency has left internet platforms vulnerable to vocal accusations of having an “anti-conservative bias” in their content moderation, especially from politicians. Internet platforms deny such a bias, but their response has not mollified Republican lawmakers, who have proposed amending, if not repealing, Section 230 of the Communications Decency Act to limit the permissible bases and scope of content moderation that qualifies for civil immunity under the section. This Article provides an alternative solution to this perceived problem—a model framework for nonpartisan content moderation (NCM) that internet platforms should voluntarily adopt as a matter of best practices. The NCM framework provides greater transparency and safeguards to ensure nonpartisan content moderation in a way that avoids messy government entanglement in enforcing speech codes online. The NCM framework is an innovative approach to online governance that draws upon safeguards designed to promote impartiality in various sectors, including courts and agencies, clinical trials, peer review, and equal protection under the Fourteenth Amendment.
Boarding the Technology Platforms

Explorers gathering a crew, setting out in the wild, mapping their discoveries and returning to tell the tale is always just the beginning. The impact of an expedition can be gauged by how many more expeditions that follow it…
Experimental Generation of a Multipartite Entangled Graph State in the Quantum Optical Frequency Comb

We report on experimental progress toward the generation of large-scale multipartite entanglement by phase modulation of an optical parametric oscillator. The graph state will be reconstructed from the covariance matrix built by two-mode measurements.
Formation of the musician's personal brand on social networks (using the example of P. Drangi and A. Vorobyov)

We considered the problem of formation of personal brand through content of social networks. Based on modern works on personal branding and classification proposed by image-making specialists, we considered strategies and technologies for creating a personal brand by two creative personalities in a comparative aspect: P. Drangoy and A. Vorobyov. We understood a personal brand as a complex of images and associations that is actualized in the minds of people when mentioning the name of a certain person. We modeled P. Drangi and A. Vorobyov's personal brands by determining the competencies, standards and style that they broadcast in the Internet space; key image characteristics of both artists are analyzed, we considered image in four dimensions: visual, verbal, context and event. We used the comparative analysis method and the content analysis method as the basic ones. The material for the study was content posted by musicians on personal official pages on social networks. The appeal to this content made it possible to determine the general in building the image of the star of the modern scene, taking into account the individual characteristics of each musician. In conclusion, we made the conclusion about the ability of an account on a social network to influence the artist's image, his concert activity and career trajectory.
Factorized mutual information maximization

We investigate the sets of joint probability distributions that maximize the average multi-information over a collection of margins. These functionals serve as proxies for maximizing the multi-information of a set of variables or the mutual information of two subsets of variables, at a lower computation and estimation complexity. We describe the maximizers and their relations to the maximizers of the multi-information and the mutual information.
Relationship between Short- Term Memory and Gender of 18- 20 Years

The aim of the research was to assess Relationship between short- term memory (STM) and gender of 18- 20 years. Short term memory is a storage capacity which is extremely small. Memory is very important because cognitive tasks can be completed only with sufficient ability to hold information as it is processed. It’s been observed that the females are considered to have greater short- term memory as compared to men. The ability to store information vary from person to person as STM can stores limited information. The capacity could range from 5 to 9 meaningful items in 18- 20 years. The research was conducted by collecting sample from college students age between 18- 20 years. The data type used in this experiment is interval type. The tools that were used were three lists of 10 meaningful words. Each list was presented to both female and male. This was found when both males and females were presented with 3 lists of meaningful words. The results reflected that females exhibited better short term memory as compared to men. The analysis of the test score was done by t- test. It was used to determine significant difference between the male and female participants in recall probability on the word recall test. After the analysis of data, the alternative hypothesis got accepted and null hypothesis got rejected. The value of paired t test was – 3.789. This indicates that -3.789
THE USE OF ENGLISH ANAGRAMS TO IMPROVE THE STUDENTS’ VOCABULARY TO THE FOURTH GRADE STUDENTS OF SDN 196 PALEMBANG

Vocabulary is one of the basic elements in mastering English. Vocabulary that plays a very important role in learning language because without vocabulary mastery, the students automatically can not obtain the four skills of English such as listening, reading, speaking and writing.  This study was aimed to find out whether or not there was any significant difference in vocabulary mastery between the fourth grade students of SDN 196 Palembang who were taught by using English anagrams and those who were not. Fifty-six fourth graders were the sample of the study. In doing the study, an experimental method by using quasi-experimental design. The IV.A class became the experimental group and the  IV.B class became the control group. A written test was the instrument to collect the data. The result showed that English anagarms had a significant effect on the students’ vocabulary mastery.  Based on the independent sample t-test analysis, it was found that the significant level was 0.000 < 0.05, so that (Ha) was accepted and (Ho) was rejected. In other words, there was a significant difference on students’ vocabulary mastery between the fourth grade students of SDN 196 Palembang who were taught by using English anagram and those who were not. Keywords : English anagrams, vocabulary
GDA-Based Tutor Module of an Intelligent Tutoring System for the Personalization of Pedagogic Strategies

Goal-driven autonomy (GDA) is a goal reasoning method which allows autonomous systems to introspectively monitor the results of their decisions and generates new goals as needed. The objective of this paper is to present a model of a GDA-Based Tutor Module of an ITS (Intelligent Tutoring System) for the Personalization of Pedagogic Strategies ITS using the theoretical assumptions of the Metagogic metamodel. In this research, the GDA controller allows the tutor module to determine when new goals should be selected and decides which goals should be pursued at each learning lesson. An overview regarding the conceptual model of GDA is provided and how each component was implemented in the Metagogic-Based ITS tutor module. This enables the ITS tutor module to incorporate additional techniques for responding to unforeseen situations. Moreover, an illustrative example about an ITS that facilitates healthcare protocols teachings for the early diagnosis of gestational and congenital syphilis is described.
Using Transfer Learning for Detecting Drug Mentions in Tweets

Drug mention detection in tweets is defined as a binary classification task that aims to distinguish tweets that mention a drug from those which do not. In our work, we aim to use transfer learning for automatic classification of tweets mentioning a drug. To our knowledge, we are the first to use transfer learning in drug detection using the UPennHLP Twitter Pregnancy Corpus. We find this corpus challenging as the positive class(i.e., mentioning a drug) is only 0.2% of the total number of tweets, leading to a highly imbalanced dataset. We carry out several experiments using pre-trained language models such as BERT, BioBERT, ClinicalBERT, SciBERT, BioMed-RoBERTa, ELECTRA, and ERNIE 2.0. We further analyze the performance of each of the pre-trained models based on the training data distribution, training data size, and different pre-training objectives. According to our results, BioMed-RoBERTa achieves the highest F1 score of 0.85 for the positive class.
Estimating the hedging potentials of Bitcoin and energy returns

This paper investigates the significance of oil, gold and coal returns on Bitcoin returns for a research duration of January 2011 to September 2018 on a monthly periodic basis. We assess the long-term relationship between oil, gold, coal and Bitcoin within the ESTAR approach. In this study, gold is used as a significant control variable. Our empirical results provide evidence endorsing our hypothesis. Gold and crude, Brent Crude and West Texas Intermediate oil prices have negative and remarkable effects on the natural logarithm of Bitcoin. Coal and natural gas have equally positive effects on Bitcoin, although they do not necessarily share the same significance. Natural gas has an insignificant impact on Bitcoin’s return compared with coal. Our findings show that both Bitcoin and coal would serve as hedges for oil and gold. For Bitcoin investors, the results imply the ability to use data about oil, gold and coal returns to improve predictions of Bitcoin returns. Despite the dissimilarities shown, hedging strategies for gold, oil, coal and Bitcoin all at once are of great importance when considering overall portfolio risk variance.
EXPERIMENTAL STUDY OF THE DEVELOPMENT OF DUAL - ORIENTED EDUCATION IN THE EDUCATIONAL PROCESS OF THE UNIVERSITY

Currently, dual-oriented learning in the educational process is becoming an urgent issue. The article presents a brief excursion of dual-oriented training of future specialists in the far and near abroad, which is a system of pedagogical education, providing for a combination of theoretical learning in a higher educational institution with periods of production activity at school. Positive experience in the implementation of dual education in the European Union, Russia, Belarus, Kazakhstan is highlighted with the goal of developing a Kazakhstan model of professional training of the future teacher based on dual-oriented education. The innovativeness of the Kazakhstan model will consist of: the creation of a “corporate triangle” aimed at training a specialist; in the implementation of the communicative paradigm of dual-centered learning, which is a conceptual model of the “communicative subject” deployed in the activity-dynamic dimension of the educational process. The features of the dual-oriented process, which in turn will provide a high level of professional training for teaching, are revealed. The mechanisms of the formation of a “group communicative subject” have been identified, suggesting the emergence of polyphony of needs and professional interests of future teachers who try, each in his own way, to express his individuality and make his own contribution to the common cause. It is this polyphony of individualities that arises in the triad of the “corporate triangle” (university, college, school) as the core of effective and productive interaction in a communicative educational environment, which is a sign of the effective manifestation of the “group communicative subject”. The presented theoretical models of dual-oriented learning within the framework of a single pedagogical technology will mean the development of conditions of “framework agreement” in the context of which representatives of the pedagogical movement could follow the development of a new didactic toolkit creating an atmosphere of creative search.
Differentiated Learning for Diverse Classroom

A child is like a raw clay. School is the factory that chisels and the furnace that bakes him to be a perfect individual. A perfect individual is the one who is not a photo copy of someone but rather someone who understands his talent, his special skill that he can gradually master, and understands the way in which he would contribute in the society. He needs to be made to realise that the purpose of his being in school is to test and assess his innate abilities and find the route that can lead him to his utmost greatness. A school is a community that appreciates and discourages too, that awards experiences and lessons too. It is child’s natural propensity that governs him to visualise and register the facts of the prevalent situation. The impulse travels to every child differently but as long as he understand his social role, it doesn’t matter how much he achieves in the predefined parameters of a general state. All that matters is whether he is spending productive hours at developing his innate skill.
Deriving Efficient Sequential and Parallel Generators for Closed Simply-Typed Lambda Terms and Normal Forms

Contrary to several other families of lambda terms, no closed formula or generating function is known and none of the sophisticated techniques devised in analytic combinatorics can currently help with counting or generating the set of simply-typed closed lambda terms of a given size. Moreover, their asymptotic scarcity among the set of closed lambda terms makes counting them via brute force generation and type inference quickly intractable, with previous published work showing counts for them only up to size 10. By taking advantage of the synergy between logic variables, unification with occurs check and efficient backtracking in today’s Prolog systems, we climb 4 orders of magnitude above previously known counts by deriving progressively faster sequential Prolog programs that generate and/or count the set of closed simply-typed lambda terms of sizes up to 14. Similar counts for closed simply-typed normal forms are also derived up to size 14. Finally, we devise several parallel execution algorithms, based on generating code to be uniformly distributed among the available cores, that push the counts for simply typed terms up to size 15 and simply typed normal forms up to size 16. As a remarkable feature, our parallel algorithms are linearly scalable with the number of available cores.
Maryland State Library LibGuides: Equity, Diversity & Inclusion Resources for Maryland Libraries: Collection Development Resources

An ongoing collection of resources to support academic, public, school, and research libraries and institutions in promoting and supporting EDI throughout their organizations.
Evolutionary matching method for face recognition using neural networks

The problem of formalizing and automating the process of recognizing human faces was touched upon at the earliest stages of the development of image recognition systems and remains relevant to this day. Moreover, over the past ten years, the number of scientific studies and publications on this topic has increased several times, which indicates an increase in the urgency of this problem. This can be explained by the fact that modern computing technology opens up new possibilities for its application in various fields, and, accordingly, a lot of applied problems have appeared that require their speedy resolution. One of the practical applications of the pattern recognition theory is face recognition, the task of which is to automatically localize a face in an image and identify a person by face. The interest in the procedures underlying the process of localization and face recognition is quite significant due to the variety of their practical applications in areas such as security systems, verification, forensic examination, teleconferences, computer games, etc. For example, the face recognition system developed at Beijing Tsinghua University has been certified by the Chinese Ministry of Public Security for use in public places. Omron Japan, which specializes in recognition, automation and control technologies, has developed a human face recognition system for mobile phones. Riya, founded by a group of specialists in facial recognition algorithms from Stanford University, has begun open testing of a Web service for contextual search of facial images in digital photo albums. The abundance of such examples indicates the practical importance and relevance of face recognition methods.
Distributed Edge Cloud Availability

With 5G being rolled out across the world, new performance-sensitive applications are emerging in various domains. To meet their performance goals, such as availability, latency, etc., a new distri ...
Designing tasks with self-explanation prompts

This paper presents some results from an ongoing review on self-explanation prompts. An emphasis is laid on design principles based on empirical research. The review is grounded in scaffolding theo ...
Human-swarm interaction via e-ink displays

This paper proposes the use of e-ink displays to enhance human-swarm interaction research, and presents example hardware for the e-puck robot. We outline potential applications, including the display of a robot's internal status, as well as the use of e-ink displays to create dynamic fiducial markers.