Reviewerly/exHarmony huggingface dataset:
Metadata Based Contextual Summarizer for Technical Conversations in Public Forums

In recent years, the task of sequence to sequence based neural abstractive summarization has gained a lot of attention. Many novel strategies have been used to improve the saliency, human readability, and consistency of these models, resulting in high-quality summaries. However, because the majority of these pretrained models were trained on news datasets, they contain an inherent bias. One such bias is that most of these generated summaries originate from the start or end of the text, much like a news story might be summarised. Another issue we encountered while using these summarizers in our Technical discussion forums usecase was token recurrence, which resulted in lower ROUGE-precision scores. To overcome these issues, we present a unique approach that includes: a) An additional parameter to the loss function based on ROUGE-precision score that is optimised alongside categorical cross entropy loss. b) An adaptive loss function based on token repetition rate which is optimized along with the final loss so that the model may provide contextual summaries with less token repetition and successfully learn with the least training samples. c) To effectively contextualize this summarizer for technical forum discussion platforms, we added extra metadata indicator tokens to aid the model in learning latent features and dependencies in text segments with relevant metadata information. To avoid overfitting due to data scarcity, we test and verify all models on a hold-out dataset that was not part of the training or validation dataset. This paper discusses the various strategies we used and compares the performance of fine tuned models against baseline summarizers n the test dataset. By end-to-end training our models with these losses, we acquire substantially better ROUGE scores while being the most legible and relevant summary on the Technical forum dataset.
Blockchain Information System—A Tool for Digitalization of the Agricultural Sector

The paper aims to examine blockchain technology in terms of its ability to consolidate information in a way that is transparent to consumers, primarily in the agricultural sector. In terms of methods, the development focuses on analyzing the increasing need to trace the supply chain from producers to end-users. The main results of the introduction of blockchain technology boil down to achieving transparency in the origin and quality of the products (goods) produced to avoid food fraud in the supply chain. The authors express their opinion that the advancement of blockchain technology will not replace the systems currently in use but will complement and modernize them. This is possible only with the participation of the government. The research novelty lies in the fact that the considered technology is a new business model creating the opportunity to reach new customers. From this perspective, producers and processors need to contribute information isolated as an array of data known as a blockchain. The blockchain platform is a new information system in the agricultural sector. Digitalization of the economy, including the agricultural sector, is possible with the direct participation of the government, namely through the creation of broadband Internet infrastructure, weather stations, the consolidation of data from farms, and the participation of specialists.
Evaluation method of smart bracelet health monitoring accuracy based on multi-level data fusion

In the process of smart bracelet health monitoring, there are some problems, such as low efficiency of accuracy evaluation and high fusion error rate. An accuracy evaluation method of smart bracelet health monitoring based on multi-level data fusion. The intelligent bracelet is monitored by information collection, information judgment and information display. The v1.1 temperature acquisition sensor and pulse sensor are selected to measure the temperature, heart rate and blood oxygen saturation. The cloud design and fuzzy information clustering method are used to realise the effective integration of multi-level data and information, and the maximum likelihood estimation model of the health index of the intelligent bracelet is established to obtain the intelligent information evaluation results of the accuracy of health monitoring of bracelet. The experimental results show that the accuracy evaluation efficiency of the proposed method is always above 80%, and the fusion error rate is always below 0.1%.
Forensic Accounting: An innovative tool for Corporate Fraud Risk Management

“Forensic accounting is a dynamic and purposeful weapon that aids in the combat against corruption, fraud, and financial crimes. This paper discusses the role of forensic accounting as an innovative tool in corporate fraud risk management, describes the concept of corporate fraud and spells out the techniques and processes used while performing forensic accounting. Data from the secondary sources like reports, journals, books and web materials related to the forensic accounting and fraud has been reviewed and synthesized for this purpose” Key Words: Forensic Accounting, Fraud, Red Flags, Corporate Fraud.
Multipurpose Cloud-Based Compiler Based on Microservice Architecture and Container Orchestration

Compilation often takes a long time, especially for large projects or when identifying better optimization options. Currently, compilers are mainly installed on local machines and used as standalone software. Despite the availability of several online compilers, they do not offer an efficient all-in-one package for private account management, command line interface (CLI), code advisors, and optimization techniques. Today, the widespread usage of Software as a Service (SaaS) is ever-growing, and compilers are not an exception. In this paper, we describe a symmetric approach to compilation and how to compile code on distributed systems. Although some improvements in cloud compilers have been made, it is possible to harness the potential of the most-modern technologies and architecture patterns toward designing efficient, in-cloud compilers. In this paper, we propose an architecture design of a cloud-based compiler that is fully compatible with orchestration technologies, such as Kubernetes, providing a higher level of scalability, reliability, security, and maintainability. Microservice architecture alongside containerization and orchestration technologies assist us in making a scalable system that provides a high level of availability. We propose this architecture so that the system can handle a higher workload as it receives a large number of compilation requests per second. Distributed compilation is a prominent benefit of this approach, as each phase of the compilation can be executed in a separate server, which supplies a kind of workload mitigation to the whole system. In other words, we propose a new perspective for an intelligent way of advisor, error detection, and optimization of compilers. We also propose an implementation example of the developed architecture. Finally, we analyze the results from an experimental implementation, proving that we can compile code from more than 100k requests concurrently on a cloud cluster with one master node and three worker nodes.
Spaces and places in online learning: perspectives from students and staff

This paper is based on work carried out by the two authors during the first six months of 2021 – a period by which the practices of online learning and teaching had become familiarized and - to some extent - even standardized in our institution, as in most others.&#x0D; We are interested first and foremost in the online teaching space as a social space: as an environment designed to facilitate the interactions that adhibit learning and teaching. How suitable are the environments that we have created to achieving such outcomes? Is it reasonable - for example - to describe the environments in which we learn and teach online as ‘spaces’, using the same word (and in virtually the same sense) that we use to describe the familiar physical teaching spaces of bricks-and-mortar locations?&#x0D; &#x0D; Our primary research involved bringing learners, teachers and digital specialists together into online learning spaces, and then inviting all those present to represent their experiences of the virtual space, using simple analogue tools: coloured pens and paper. The results of these workshops form the basis for this paper.&#x0D; In our conclusion, we attempt to formulate some explanations for the emotionally-inflected nature of these representations of digital learning spaces. Using concepts and approaches from psycho-geography (Augé), social-actor theory (Emirbeyer and Mische) and pedagogic theory (Gourlay, Wenger-Trayner), we begin to outline what might need to happen to the online learning environment as a social space for its full potential and promise to be realised.
Deepfake Video Detection Exploiting Binocular Synchronization

How to accurately figure out Deepfake face video has recently been a popular research topic. The normal genuine faces exhibit binocular synchronization phenomenon of eye movements, either blinking or saccade. Instead, Deepfake faces may not be able to maintain this consistency of binocular movements provided that Deepfake videos are generated frame by frame without coordinating adjacent frames. In view of this, we propose a binocular-synchronization-based authenticity method for Deepfake videos. In particular, our methods combine convolutional latent representations with bidirectional recurrent structures. The latent representations for both binocular blinking and movement are extracted and fed into a recurrent framework to leverage the inconsistency between adjacent frames. Experimental results demonstrate the effectiveness of the developed features and the promising performance of our method in detecting forgery videos.
Increasing Below Level Readers Fluency and Comprehension

Year after year, students enter the classroom several grades below grade level yet are expected to perform as an on-grade level student. One of the major learning gaps, that is daunting to see in fourth grade, are students who are extremely below grade level in the area of reading. To an outsider, it may look as though it is only one subject. No big deal! Unfortunately, reading is the foundation to all content areas. A student who is not successful in reading will most likely have difficulties in other areas of learning. Reading provides the foundation of understanding and that foundation begins with reading fluency. Researcher Timothy Rasinski, along with countless other researchers, such as Kodan and Akoyl, The National Reading Panel, and Samuels and Leberge, carry the belief that students who build a foundation of fluency through practice and increase that fluency will develop the ability to comprehend on higher levels (2003). Without this foundation, the learning gap begins and continues to widen year after year. Thus, showing the huge relationship between reading fluency and reading comprehension (Rasinski, 2003). These below grade level readers need interventions that meet them where they are and push them forward to meet their learning goals - enabling them to become better readers. The purpose of this study was to address the needs of below-level readers and to aid in the vertical alignment of research-based interventions and methods in grades 3-5.
DECISION SUPPORT SYSTEM FOR WI-FI MODEM SELECTION USING MULTIPLE ATTRIBUTE DECISION MAKING WITH TOPSIS

Modem is a device that has the ability to connect cellphones, PCs or laptops to the internet network. The type of modem that is popular today is MiFi or Wi-Fi Modem, which is a portable modem that makes it easier for users to carry the device anywhere. Currently, there are many Wi-Fi modems circulating in the market with various brands and brands that have different specifications and capabilities. For this reason, people must be observant in choosing the right Wi-Fi Modem for their needs. The selection of the right Wi-Fi Modem will maximize the performance of the internet network so as to facilitate activities in internet use. The purpose of this research is to be able to develop a decision support system by implementing the Multiple Attribute Decision Making (MADM) approach using the TOPSIS method for the selection of a Wi-Fi Modem, in order to facilitate the selection of the best Wi-Fi Modem and according to user needs. Based on black-box testing, it shows that the system built can run well. In addition, the calculation results of the TOPSIS method generated by the system with manual calculations produce the same value.
GRAFIK FRY DALAM MENGUKUR KETERBACAAN WACANA BUKU TEMATIK KELAS IV SEKOLAH DASAR

This study aims to measure the level of readability of discourse in 2013 thematic books for grade IV SD semester 1 revision 2018 in order to determine whether it is appropriate or not with the grade level. The method used in this study is a qualitative descriptive method. The data used is in the form of discourse texts in the 2013 curriculum thematic book for grade IV SD semester 1 revision 2018 published by the Ministry of Education and Culture. The technique used in this study is a data analysis technique, where the data source becomes a reference for clear mapping so that the calculation results can be measured and the level of readability is determined using the fry chart steps. The results of this study indicate that from 15 samples of discourse as data analyzed for their readability, it can be concluded that the readability level of the thematic books of the 2013 curriculum for fourth grade elementary school semester 1 revision 2018 using a fry chart consisting of five themes obtained the following results: Thematic Book Theme 1 The Beauty of Togetherness obtained readability results for grades 6, 7, and 8 so that it was not suitable for fourth grade elementary school students. Thematic Book Theme 2 Always Save Energy obtained readability results for grades 8, 9, and 10 so it was not suitable for fourth grade elementary school students. Thematic Book Theme 3 Caring for Living Creatures has a readability level for grades 6, 7, and 8 so it is not suitable for fourth grade elementary school students. Thematic Books Theme 4 Various Jobs obtained readability results for grades 4,5, and 6 so that they were suitable for fourth grade elementary school students. Theme 5 My Heroes obtained readability results for grades 8, 9, and 10 so it was not suitable for fourth grade elementary school students.
Measurement Model for Medical Image Feature Matrix Similarity Based on CNN

The original similarity measurement model is easy to ignore the processing of image details, resulting in poor accuracy of similarity measurement. In the paper, we propose a similarity measurement model for the medical image feature matrix based on the convolutional neural network (CNN). First, the Gaussian convolution kernel is used to obtain the global and local feature data of medical images, and the corresponding data set is formed. Second, the convolution layer of CNN is introduced, and the image feature matrix is obtained by the convolution layer. Finally, the similarity measurement model of the medical image feature matrix is constructed. The results show that the image similarity measurement effect of this model is better when the test process is divided into three parts: global, local, and detail. The highest error rate of the proposed algorithm is only about 0.21, which takes less time, and the overall fitting degree can reach about 91%. Compared with traditional methods, the accuracy of image similarity measurement is higher and the use effect is better.
COVID-19 and the status of remote learning for students with disabilities in Jordan: the learned lessons

The study investigates the effectiveness of, attitudes towards, and teacher’s competencies in distance learning for students with disabilities in Jordan during the COVID-19 pandemic. The purposive sampling technique was used in this study, which includes twenty-five special education teachers. Qualitative research data from individual interviews were analyzed using thematic analysis. Results revealed that remote learning is a new educational concept associated with negative attitudes in Jordan. The majority of participants think that remote learning is not an effective way of teaching students with disabilities. Data analysis revealed that most special education teachers perceive themselves as having a low competency in implementing remote learning in the education of students with disabilities. Several barriers and suggestions are reported. This study documented lessons learned during the pandemic, which could be applied after it has ended. The pandemic has highlighted inequities in technology access and teacher knowledge and provides the impetus to address such inequities in the future. It is vital to promote the implementation of effective applications of remote learning in related special education contexts. Recommendations and practical and research implications are presented in light of the study results.
TEACHERS’ MEANING NEGOTIATION STRATEGIES IN CONSTRUCTING SPEAKING SKILL THROUGH GOOGLE MEET

This research discusses teachers’ meaning negotiation strategies in constructing speaking skills through Google Meet. Meaning negotiation can show how well the teacher interacts with students. This study was aimed at finding out how the teacher negotiate meaning in constructing speaking skills and the students’ perceptions when the teacher used to mean negotiation strategies. The present study used a qualitative Case study design. Twenty students from 1A in Speaking for information Function and an English lecturer have participated in this study. The data were obtained through observation to research how do teachers’ meaning negotiate in constructing speaking skills in speaking class through Google Meet, interviews to collect data what the students’ perceptions towards meaning negotiation used by the teacher in speaking class. The observation data were analyzed based on 4 components from Pica (1991) namely trigger, signals, response, and follow-up. To analyze the interview data, the researcher first transcribes the data and then interprets it. The findings show that the 4 components of meaning negotiation used by the teacher were well-implemented. It also indicates that the teacher can provide more explanation. Furthermore, a teacher can help the students in understanding a new word and its meaning and making the conversation in the speaking class run well. This research concludes that meaning negotiation used by the teacher is a good tool and effective in the real situation. The teacher encourages them to practice solving communication problems occurring among them through meaningful negotiation. The researcher suggests that the teacher is expected to be more well organized in delivering material to construct a better conversation in their speaking skill.Keywords: Meaning Negotiation, Speaking Skill, Google Meet
A CONVERSATION ANALYSIS OF CLASSROOM INTERACTION IN AN EYL CLASS BY USING UNO CARD

This article aims to determine the principles of conversation analysis contained in conversations between teacher and EYL students during class interactions in an EYL class using UNO cards and to find out how teachers apply the principles of conversation in an EYL class. This research uses descriptive qualitative in the form of conversation analysis. The participants involved in this study were one teacher and four EYL students with the research being conducted in one of the courses in Banjar. Research data were collected using two instruments, namely observation (non-participants observation) and interviews (semi-structured). The research findings were analyzed based on 4 machines of interactional structure practice, namely; (1) turn-taking, (2) sequence organization, (3) turn design, and (4) repair, show that the teacher dominates the conversation during classroom interactions. This makes the teacher the first pair part (FPP) followed by young learners as a second pair part (SPP). The results of the interview revealed that teachers must know every psychology that young learners have in order to know the condition of each student so that students' focus does not leave learning. It is also intended that teachers are able to provide appropriate stimuli and methods for young learners. The researcher concludes that the analyzed conversations between teachers and EYL students are in line with the basic principles of conversation analysis. For further researchers, it is hoped that they will be able to explore more broadly the analysis of conversations that occur in-class interactions.Keywords: Conversation Analysis, Classroom Interaction, EYL
Unification and Finite Model Property for Linear Step-Like Temporal Multi-Agent Logic with the Universal Modality

This paper proposes a semantic description of the linear step-like temporal multi-agent logic with the universal modality \(\mathcal{LTK}.sl_U\) based on the idea of non-reflexive non-transitive nature of time. We proved a finite model property and projective unification for this logic.
Development and evaluation of multiple intelligence-based differentiated instructional material for reading and writing

‘One-size-fits-all’ is a ridiculous statement. Every individual is unique in his or her special way. However, in education, the usual approach is to clamp the learners based on their age, gender or level of achievement. Even though education has entered the new normal, learners are still using the one-size-fits-all material. As teachers, the researchers opted to design and develop instructional materials that could cater to the needs of the learners while tapping their interest to keep them motivated. The researchers utilised Quipper, an online learning management system, as a platform to develop differentiated instructional materials based on multiple intelligence profiles of the grade 11 students in Cainta Senior High School. The respondents of this study were the grade 11 students and humanities and social sciences English teachers who were purposively selected to evaluate the developed instructional materials and be the source of data. This study employed a quantitative method to determine the multiple intelligence profiles of the grade 11 students and evaluate the 2 groups of respondents. Based on the results, most of the learners possess five prominent bits of intelligence. Both the student and teacher respondents believe that the developed differentiated instructional material has realistic/authentic content, promotes autonomy or independent learning, written using clear and simple language and has inputs and elements that are useful for distance learning. It is recommended that teachers adapt the strategy of developing differentiated materials and the utilisation of different available platforms to help the learners cope in the new normal. Keywords: Multiple intelligence, instructional material, Development, evaluation, teacher