Reviewerly/exHarmony huggingface dataset:
Assessing instructors’ usage of emojis in distance education during the COVID-19 pandemic.

This research assessed instructors’ usage of emojis in distance education for high diploma students. A quantitative approach was employed comprising an e-survey consisting of 11-items, one closed-ended question, and two open-ended questions. The participants were a randomly selected sample of 343 high diploma students, 243 attending Al al-Bayt University (AABU) in Jordan and 100 students attending the Arab Academic College in Haifa (AAC). The results indicated that instructors’ usage of emojis in distance education was moderate in both universities. All students strongly preferred instructors to use emojis to express what is on their minds as an alternative to facial expressions, and female instructors were more active in using emojis in virtual lectures. The emoji used most frequently by distance education instructors for the sample was the thumbs-up emoji ( ). Based on the results, several recommendations are put forth that will be of value to researchers and workers in this field.&#x0D; &#x0D; Keywords: Distance Education; Emojis; COVID-19
Removal of turbidity and chemical oxygen demand using an eco-friendly coagulant/flocculent (optimization and modelling through the response surface methodology)

The use of the cactus mucilage as a bio-coagulant/bio-flocculent in the treatment of wastewater is a real strategy for sustainable development of the environment, because of its abundance and the non-toxicity for the human health.In this research, the biomaterial was used to treat municipal wastewater plant by coagulation/flocculation process.To optimize two most important factors: dosage coagulant and initial pH, a central composite faced centered design, and response surface methodology were applied.The effect of the pH on the supernatant turbidity removal and the chemical oxygen demand (COD) reduction was very significant, whereas the coagulant dosage was insignificant on the COD removal efficiency, there is no interaction effect between coagulant dosage and initial pH on the responses studied.Experimental results revealed that the maximum reduction of turbidity and COD could be attained at optimal conditions, that is, coagulant dosage of 5.6 mL/L -1 and pH of 12 from which the removal of turbidity and COD were 99.39% and 80.03%, respectively.The study also showed that the quadratic regression model could be used as theoretical basis for coagulation/ flocculation process of wastewater treatment based on the high coefficient of determination R 2 value of 0.93 obtained from the analysis of variances.
Functionality of a common digital space of scientific knowledge

The volume of scientific information appearing in the world&#x0D; today creates serious problems with its processing and use. In this regard, it becomes necessary to filter scientific information and extract from it knowledge that is novel and unique. The aggregate of such information in digital form, together with the tools to ensure its updating, preservation and provision to users, is defined as a common digital space of scientific knowledge. It consists of a set of thematic subspaces related to various areas&#x0D; of science, built on the same principles. Despite the fact that there are some examples of formalization of knowledge in different subject areas, there is no generalized approach to defining the digital space of scientific knowledge. This paper discusses the problems and tasks of the formation of a such space and the development of tools that provide the ability to study&#x0D; information in it.
Assessing Lexical-Semantic Regularities in Portuguese Word Embeddings

Models of word embeddings are often assessed when solving syntactic and semantic analogies.Among the latter, we are interested in relations that one would find in lexical-semantic knowledge bases like WordNet, also covered by some analogy test sets for English.Briefly, this paper aims to study how well pretrained Portuguese word embeddings capture such relations.For this purpose, we created a new test, dubbed TALES, with an exclusive focus on Portuguese lexical-semantic relations, acquired from lexical resources.With TALES, we analyse the performance of methods previously used for solving analogies, on different models of Portuguese word embeddings.Accuracies were clearly below the state of the art in analogies of other kinds, which shows that TALES is a challenging test, mainly due to the nature of lexical-semantic relations, i.e., there are many instances sharing the same argument, thus allowing for several correct answers, sometimes too many to be all included in the dataset.We further inspect the results of the best performing combination of method and model to find that some acceptable answers had been considered incorrect.This was mainly due to the lack of coverage by the source lexical resources and suggests that word embeddings may be a useful source of information for enriching those resources, something we also discuss.
Abstract: Studying Robustness of Semantic Segmentation under Domain Shift in Cardiac MRI

ZusammenfassungCardiac magnetic resonance imaging (cMRI) is an integral part of diagnosis in many heart related diseases. Recently, deep neural networks (DNN) have demonstrated successful automatic segmentation, thus alleviating the burden of time-consuming manual contouring of cardiac structures. Moreover, frameworks such as nnU-Net provide entirely automatic model configuration to unseen datasets enabling out-of-the-box application even by non-experts.
Join me online: Supporting faculty and staff wellness in the Age of Zoom

At the beginning of March 2020, when everything in our world suddenly ground to a halt, I realized that we were not going to have an ordinary end to the semester. I did not imagine that we would still be in flux nearly a year later. Our faculty and staff were already heading for Spring Break when decisions were made to go online and to work from home. Over Spring Break, the administrative team prioritized creating the public facing messages and planned how we would continue to provide services to faculty and students in this unusual situation. These were the questions that libraries across the country were grappling with at the same time, and we were quickly learning from one another.
School Resource Center and Students’ Civilization in Digital Age

In the 21st century, the School Resource Centre (SRC) is essential as an innovative educational practice that supports teaching-learning in the digital age. Previous studies have highlighted the beneficial roles of an SRC in terms of collections, SRC programs, and the provision of a conducive learning environment to school communities. However, due to the meaningful impact of technology, SRCs need to transform their traditional roles to more modern roles in the digital age in order to bring knowledge that is alive, interesting and relevant to meet users’ needs and demands, especially the millennials. The millennial generation is comprised of digital immigrants who are very competent in using technology devices but still lack information literacy skills and are marked by uncertainty because they face information overload due to the high dependency on the Internet and inability to solve real-life problems. In this study, the millennial generation was narrowed to secondary students aged between 13-17 years old. This paper aims to determine the type of activities held in SRCs that give impact on students’ civilization and support them in developing life-long learning habits which will enable them to be knowledgeable and responsible citizens in a civilized society. A survey was distributed to secondary students, and findings show that there is a positive indication with a 4.21 mean value (with Likert scale ranging between 1 to 5) on civilization for the use of SRCs. Education itself is evolving through changes in the curricula and use of enhanced technology which have changed the way students access information and interact with others in the civilized society. It is hoped that other than becoming information literate and knowledgeable persons, students can also show evidence of moral and intellectual advancement by being humane, ethical and reasonable as well as have the capabilities of leading an improved life and social wellbeing.&#x0D; &#x0D; Keywords: School Resource Centre, Student, Civilization, Digital, Knowledge
The Interferences of Indonesian Grammatical Aspects into English: An Evaluation on Preservice English Teachers’ EFL Learning

Decades-long researches in a language in contact field have proved that when a learner learns a new language, his/her knowledge regarding their first language might interfere with their learning. If it occurs, the learning process will be more challenging. The data in this research was collected by using document study technique on twenty-five research outlines written by preservice English teachers in order to investigate the potential of interferences of Indonesian subject – verb agreement pattern into English. To do so, a descriptive study was adopted. The data was analysed by incorporating error and contrastive analyses. The finding of this research confirmed that four types of subject – verb agreements pattern of English had been interfered by that of Indonesian. The grammatically incorrect sentences, which were caused by such interferences, occurred very individually. It means that the interference varies from one preservice English teacher to another.
Computational Complexity of Computing Symmetries in Finite-Domain Planning

Symmetry-based pruning is a powerful method for reducing the search effort in finitedomain planning. This method is based on exploiting an automorphism group connected to the ground description of the planning task { these automorphisms are known as structural symmetries. In particular, we are interested in the StructSym problem where the generators of this group are to be computed. It has been observed in practice that the StructSym problem is surprisingly easy to solve. We explain this phenomenon by showing that StructSym is GI-complete, i.e., the graph isomorphism problem is polynomial-time equivalent to it and, consequently, solvable in quasi-polynomial time. This implies that it is solvable substantially faster than most computationally hard problems encountered in AI. We accompany this result by identifying natural restrictions of the planning task and its causal graph that ensure that StructSym can be solved in polynomial time. Given that the StructSym problem is GI-complete and thus solvable quite efficiently, it is interesting to analyse if other symmetries (than those that are encompassed by the StructSym problem) can be computed and/or analysed efficiently, too. To this end, we present a highly negative result: checking whether there exists an automorphism of the state transition graph that maps one state s into another state t is a PSPACE-hard problem and, consequently, at least as hard as the planning problem itself.
The Study of Reduplication and Retriplication in the Yoruba Language

The Yoruba language, a regional lingua franca in Nigeria, which belongs to the Kwa sub-family of Kordofanian phylum of the larger African language family, is spoken in Nigeria, Togo, Ghana, Liberia, Brazil, Cuba, etc. The language attests a very productive feature of reduplication which has attracted the attention of many scholars. But its extended form, tagged, “retriplication” in this paper, remains largely unexplored. This study examines the form and functions of reduplication and retriplication which are two morphological processes where the former serves as a pedestal to the latter. While applying the participant observation method to elicit data from main Yoruba cities in Nigeria, the Pulleyblank (2009) model, as well as the descriptive and context usage approaches are employed to analyse and discuss the data. The study reveals that while reduplication process actualises intensification, nominalisation, emphasis and comparative qualifying, retriplication serves for more intensification, wider nominalisation, more emphasis and superlative qualifying. The research further reveals that, while all cases of verb and adjective reduplicates can be retriplicated without generating unacceptable utterances in Yoruba, the gerundive reduplicates cannot culminate in retriplication. However, kinship reduplicate allows retriplication when stretched to the third generation. The paper concludes by calling for more study on retriplication in other languages of the world, particularly, African and Asian languages that massively exhibit the two phenomena.
Research on Voiceprint Recognition Technology Based on Deep Neural Network

In recent years, the technology of identity authentication based on biometrics is constantly improving and maturing. Due to the unique advantages of long-distance and multi equipment data acquisition, voiceprint recognition has been gradually commercialized in the past fifty years. However, the traditional voiceprint recognition method will reduce the model performance under the condition of large-scale data. In view of the above problem, this paper mainly studies text independent speaker verification system, using Mel Frequency Cepstrum Coefficient (MFCC) as speech feature parameter based on deep neural network (DNN). Compared with the traditional neural network, this method has the fast-learning ability of the network weight and high recognition rate. In this experiment, different speed speech is added to the training, which improves the recognition accuracy, and promotes the robustness of the model.
THE HUMOR STORY IN TEACHING READING COMPREHENSION

The objective of the research were to find out whether or not the use of Humor Story can improve the students’ reading comprehension and Students interest at the Eighth of SMP Negeri 4 Pancarijang. This research employed a mixed method that applied monolingual class. The population of this research was the eighth grade students in academic year 2018-2019. There were 65 students spread in 3 classes ( VIII.1, VIII.2, and VIII.3) and each class consist appropriately 20-22 students. The researcher took simple random and chose VIII.2 as the representative and the number of total sample is 21 students. The data of the research were collected by using two kinds of instruments, namely reading comprehension test and questionnaire. Reading test was used to obtain data of the students’ reading comprehension ability and questionnaire was used to know the students interest in Reading Comprehension by using Humor Story. The result of data analysis showed that there was significant difference between the students’ score after they were taught by using Humor Story and before they were taught by Humor Story. It was proved by the mean score of the post-test which was higher than the mean score of pre-test (57.57&gt;40.33). Furthermore, the result of the p-value (0.000) was lower than level of significant (α = 0.05); which means that H1 was accepted. Then, the analysis of interest by using Likert Scale indicated that teacing reading comprehension by using humor story, the students were interested. It was proved by 57% students who were strongly interested, 33% students who were interested and 10% students who were moderate. Based on data analysis, the research concluded that: (1) the use of Humor Story effective in improves students’ reading comprehension; (2) the use of Humor Story makes the students interested to learn reading comprehension
Overview of Service Interface Design Approaches for Interoperability of Traditional System Integration Patterns

One of the major issues in system integration is to deal with interoperability of legacy systems which use traditional System Integration Patterns (SIP). Information are unable to exchange effectively when the systems involved comes from developer that tended to not interoperate and this leads to the interoperability problem in heterogeneous system integration. To address the interoperability issues, interfacing processes need to be made more easily by defining components, processes, and interfaces that affect the system integration architecture at the initial design stage. This paper includes a basic concept on types of traditional SIP covering File-Based, Common Database, Remote Procedure Call (RPC), Distributed Objects, and Messaging. An overview of three Service Interface Design (SID) approaches for systems interoperability is discussed. The discussions on these approaches serve as a basis for the solution of interoperability of heterogeneous systems which use traditional SIP.
ELECTRONIC HEALTH RECORD USING BLOCKCHAIN AND OFF CHAIN STORAGE: A SYSTEMATIC REVIEW

The Blockchain was introduced by Bitcoin [1] for maintaining financial transaction; many researches are going on, to extend the use of blockchain technology in non-financial application. Healthcare domain is a promising industry in which blockchain can have important influence. This paper focus on a systematic review about existing and ongoing research in the field of storing electronic health record (EHR) using blockchain technology. This paper also presents use of blockchain framework in healthcare domain, its challenges and further research.
Quantum state rotation: Circularly transferring quantum states of multiple users

Quantum state exchange is a quantum communication task for two users in which the users faithfully exchange their respective parts of an initial state under the asymptotic scenario. In this work, we generalize the quantum state exchange task to a quantum communication task for $M$ users in which the users circularly transfer their respective parts of an initial state. We assume that every pair of users may share entanglement resources, and they use local operations and classical communication in order to perform the task. We call this generalized task the (asymptotic) quantum state rotation. First of all, we formally define the quantum state rotation task and its optimal entanglement cost, which means the least amount of total entanglement required to carry out the task. We then present lower and upper bounds on the optimal entanglement cost, and provide conditions for zero optimal entanglement cost. Based on these results, we find out a difference between the quantum state rotation task for three or more users and the quantum state exchange task.
Mapping Common Errors in Entity Relationship Diagram Design of Novice Designers

Data modeling in the context of database design is a challenging task for any database designer, even more so for novice designers. A proper database schema is a key factor for the success of any information systems, hence conceptual data modeling that yields the database schema is an essential process of the system development. However, novice designers encounter difficulties in understanding and implementing such models. This study aims to identify the difficulties in understanding and implementing data models and explore the origins of these difficulties. This research examines the data model produced by students and maps the errors done by the students. The errors were classified using the SOLO taxonomy. The study also sheds light on the underlying reasons for the errors done during the design of the data model based on interviews conducted with a representative group of the study participants. We also suggest ways to improve novice designer's performances more effectively, so they can draw more accurate models and make use of advanced design constituents such as entity hierarchies, ternary relationships, aggregated entities, and alike. The research findings might enrich the data body research on data model design from the students' perspectives.
Support for online teaching of the Semantics of Programming Languages course using interactive software tools

Importance of online education has grown mostly in time of the world pandemic of coronavirus disease 2019. All types of schools must start to teach using online technologies. Very often, using some kinds of teaching software tools can markedly simplify the teaching process. Those software modules are used for simulation, visualization or animation of processes, computations, program behavior, or simply, as help for study, experiments and projects. This paper aims to present a teaching tool for emulation of constructing the transition relations and visualization of computational sequences for the method of structural operational semantics applied to programs written in an abstract language Jane. The presented software works as a compiler that transforms an input code to a computational sequence of transitions.
Cross-linguistic scope ambiguity: An investigation of English, Spanish, and Mandarin

Faced with a sentence like Every horse didn't jump over the fence as a description of a scenario in which one out of two horses jumped, adults readily endorse the utterance as a good description, while children overwhelmingly reject it. However, systematic changes to the task setup lead to marked increases in children's endorsement rates (Musolino &amp; Lidz 2006; Viau et al. 2010). Savinelli et al.(2017) use a computational cognitive model of utterance endorsement in truth-value judgment tasks to analytically demonstrate that both children and adults' interpretation behavior is affected by pragmatic manipulations. We test a clear prediction of these models: manipulating the conversational goal (or Question Under Discussion) should lead to clear effects on utterance endorsement. In addition to investigating the predictions for English, we also investigate Spanish and Mandarin, where the status of the relevant ambiguity may be less clear.
Learning Strategies for Mobile-Assisted Seamless Learning: A Students’ Initial Perceptions

This study aims to analyze the management of learning during a pandemic using a mobile-assisted seamless learning approach at SMP Lubbul Labib, Maron, Probolinggo, East Java, Indonesia.This study uses a qualitative approach with case study.Data collection techniques are carried out through observation, interviews, and documentation.The data analysis is carried out circularly, starting from display data, data reduction, and concluding The results showed that the learning strategy through cellular aids in increasing student learning motivation was carried out through; making learning planning, determining learning objectives and targets, using methods, utilizing learning media, and assessing which are carried out in a planned and systematic manner .
CORPUS-DRIVEN ESP PEDAGOGY: A PRELIMINARY CASE STUDY

The study explores application of a freely available EcoLexicon online corpus in specific language classes at Environmental studies faculty of RUDN University, Russia. Although corpus tools are traditionally used by linguists, I intend to demonstrate how they can be offered to non-linguist students to facilitate better understanding of inherent semantics, depart from generic surface understanding of professional texts and delve deep into structures and meanings, enhancing overall linguistic competence of learners and instructors alike. One of the main results of the study is that implementation of corpus-based tools clearly demonstrates unreliability of automated translated tools and fosters departure of novice professionals from assisted translation towards independent exploration of semantic nuances of target specialized languages. Despite numerous benefits, corpus-based tools can present certain challenges as well. These deficiencies, however, may be remedied by careful design of teaching materials and assignments.