Reviewerly/exHarmony huggingface dataset:
The Development of Waste Sorting Robot to Improve Environmental Care Attitudes at MTsN 1 Banda Aceh

One of the waste management efforts is to sort waste. Waste handling in Indonesia, especially in Aceh, is still conventional. Based on these facts, a new breakthrough is needed during the era of the industrial revolution 4.0 by making a waste sorting robot. The purpose of this study was to determine the process of developing a waste sorting robot and to determine the environmental care attitude at MTsN 1 Banda Aceh by developing a waste sorting robot. This research method is Research and Development (RD 2) data collection; 3) Product design; 4) Design validation; 5) Revised design; 6) Product trials; 7) Product revision; 8) Trial use; 9) Product revision; 10) Mass production. Research and development carried out by researchers only from steps 1-9. In the tenth step (10) of mass production, researchers did not do it because of time and cost constraints. The research location was conducted at MTsN 1 Banda Aceh. The research was carried out from October to November 2020. The research instruments were interview guides, a waste sorting robot product feasibility assessment questionnaire, and an environmental care attitude questionnaire. The data analysis technique used descriptive statistics with percentages. The results of the validation of the feasibility design of the waste sorting robot by 2 machine design experts and 1 science teacher at MTsN 1 Banda Aceh, an environmental material expert, obtained a score of 17 with a value of 100% in the less feasible category. Furthermore, in the trial, the score was 29 with a value of 100% in the very feasible category. The conclusion of this study is that the waste sorting robot is very feasible to use. The development of a waste sorting robot can improve environmental awareness at MTsN 1 Banda Aceh.
Databases and academic journals in the COVID-19 pandemic: Imagining possible futures for scholarly communication after the crisis

Some reflections on the work of the Directory of Open Access Journals (DOAJ) during the context of the COVID-19 pandemic are presented, as well as the challenges ahead for education journals © Los articulos de la Revista Electronica Educare del Centro de Investigacion y Docencia en Educacion de la Universidad Nacional, Costa Rica, se comparten bajo terminos de la Licencia Creative Commons: Reconocimiento, No Comercial, Sin Obra Derivada 3 0 Costa Rica Las autorizaciones adicionales a las aqui delimitadas se pueden obtener en el correo: educare@una cr
An advanced image compression technique by using a coupled compression algorithms depend on different wavelet methods

Digital images need a large storage capacity, and as a result they need a large bandwidth for data transmission to deliver to the desired destination over the network. Image compression technologies not only reduce the size of stored data, but also maintain as much as possible the output image quality. In the proposed research we review a technique for image compression that uses a distinct two-stage image encoding method using different compression algorithms and wavelet transform methods, which combines two types of effective compression algorithms that give more ability to compress image data.The proposed compression technique which coupled two image compression algorithms that put to use premium characteristics from each algorithm. The wavelet transform methods contribute effectively to finding suitable solutions to supply better compression ratios for images with high resolution. The complete series of compression includes repeated stages of encoding and decoding, in addition to the wavelet processing itself.This study will have carried out an advanced compression technique that contain a coupled compression algorithms relying on the preferred wavelets to this work from practical experiments they are, biorthogonal and Haar wavelet transform, the performance metrics for tested true HD color image will be studied. The challenge for image compression algorithms is to detect a best solution between a low compression ratio and good visual perception results. An essential measure of achieved image compression process is taken by compression ratio CR and the ratio of bit-per-pixel BPP. The CR and BPP metrics are important components in image compression techniques.Through the results of the image compression metrics in two stages, the best practical results were obtained when the compression ratio metric CR was equal to 2.3%, and this metric indicates that the compressed image can be stored using 2.3% of the original image data size. While the BPP which represent the bit number that used to store one pixel of true color image is equal to 0.575.
Developing a Model based on Constructivism Approavh for Teaching Simplification of Algebraic Expressions in the 8th Grade

The aim of the present study was developing a model based on constructivism approach, for teaching simplification of algebraic expressions in the 8th Grade. Mixed method proved to be suitable for the study. At the first phase, a primitive model was designed and a focus group was formed consisting of 15 volunteer mathematics teachers of the same grade and they met three times until the model was modified and validated for implementation. At the second phase, an experimental study was designed involving 60 Grade 8 students that randomely selected and assigned to two experimental and control groups. After taking the pre-test, the control group was taught as usual and the experimental group was taught using the developed model as treatment. At the end, a post- test was carried out for both groups. The results showed that the difference between two groups was statistically significant in the favor of the experimental group that indicates that posivie effectiveness of the developed model on the students’ performance in Grade 8.
Topic: Practical Augmented Reality for Real-Time Collaboration in Drilling Scenarios, a Success Story

Summary The drilling of wells into complex reservoirs requires the close collaboration of experts from different domains. These experts tend to operate in different technical silos and communicate in terms that might be unfamiliar to other experts. Combine these issues with the time critical nature of drilling and the common situation where domain experts are remote to the drilling location and to each other, and it is clear that a difficult problem is made harder by the challenges of collaborating effectively. The authors have completed a pilot project to determine if an augmented reality (AR) system would greatly enhance the collaboration environment. The pilot proved that AR technology has advanced to the point where complex subsurface geology and equipment such as well bores can be realistically modeled as holograms in detail that rivals the best 2D displays. The holograms allow the users to jointly inspect the subsurface models in a natural three dimensional manner. The challenge is to determine the use cases where AR is best applied using current technology. The authors believe that one such application is subsurface collaboration for real time decision making. The pilot project described here is being further developed into a production system.
Public Opinion Analysis of University'S ＂Closed Management Policy＂ under the Improvement of Epidemic Situation based on Topic Mining and Emotional Computing

Under the background of the gradual improvement of epidemic control of COVID-19 in China, some universities still implement closed management policy In view of the response and discussion of the policy by college students, a public opinion analysis method based on topic mining and emotional calculation is proposed By using Python to capture 3424 answers of Zhihu's hot questions about University closed management, we use Chinese word segmentation processing, word frequency statistics and naive Bayesian sentiment value calculation to show college students' views and Thoughts on the policy, and then use LDA topic model, TFIDF calculation and topic word extraction to mine different aspects of public opinion The results show that college students' emotion towards the implementation of closed management is negative, and the hot topics include faculty, students, formalism, graduation, internship, canteen, etc This method can effectively mine the theme of public opinion events, and has certain use value
Information Security Challenges in the Context of the Epidemic

The article reviewed the informational causes of diseases and the peculiarities of the influence of the mass media on human consciousness during epidemics. The aim of the research is to study the patterns of the impact of information on the human condition during epidemics and to develop safety measures when interacting with information. The impact of information on people during epidemics is increasing. The media are the main sources of information for the general consumer. Analysis of the media supplied shows that the media is destructive. The pressure on the end-user can be indirectly described by the number of messages per topic relative to the size of the news sample. Everyone has their own unique information system, In case of manipulative manipulation of the consumer, the information is prepared in order to penetrate the mind. Malicious information introduced into the mind is a Trojan virus, a Trojan program designed to change the programs that operate in the information system of the addressee. An unprotected mind is both a portal for the introduction of artificial information and a key tool for the realization of the manipulator’s goals and plans. Information viruses affect the workings of human psychic programs, which are used to deliberately reprogram human behavior through suggestion, zombie. The content of the human information system affects both health and quality of life. As the administrator of your own information system, a person needs to install network filters with rules for distinguishing between data and programs, restrict access to incoming data and access to their software. Based on the proposed approach, the following recommendations can be made to the consumer of the information: to assume the role of administrator of their information system, to be responsible for its state of affairs; filter incoming information for usability, verify data before use; respect the principle of constructive information. Information should be useful, help to solve problems, empower people and defuse tensions; avoid redundancy, information overload when the quality of filtration and security is reduced; carry out continuous background scanning and regular cleansing of its information system, identifying redundant, false information and destructive behaviour programmes; use a channel with an individual unique frequency for information exchange.
DISTRIBUTED FORMATION CONTROL AND OBSTACLE AVOIDANCE OF MULTI-ROBOT SYSTEM

This paper proposes a distributed control method for multi-mobile robots to avoid obstacles. Firstly, the Limit Cycle (LC) method is exploited to set the reference trajectory for robots to avoid obstacles. Secondly, the control rule that control a leading robot following the reference path is introduced. Thirdly, the algorithm that controls robots moving in a formation and avoiding obstacles based on the combination of the LC method and the reference trajectory tracking algorithm. Different from the distributed control algorithm in related documents, the algorithm in this paper ensures that the robot formation is not only maintained but also avoids obstacles when moving to the target. Finally, simulation and experimental results are conducted to verify the effectiveness of the proposed method.
Payment Guaranteed Polynomial Exchange Rate Scheme and Its Application to Cryptocurrency Swaps

In this paper, we introduce a scheme, called Polynomial Exchange Rate Scheme (PERS), to generate exchange rate functions for token swap systems, and show that the functions generated are consistent, stable, and resilient. We show that payments are guaranteed in PERS if the Single Circulation Source principle is adopted (i.e., PG-PERS). Compared to the existing deposit-based exchange rate schemes, PG-PERS is a scheme that requires no initial key token deposit and its price changes have relatively stable rates especially in extreme cases. As an application of PG-PERS, we present a token swap service, called Fanco Swap, for swapping the ERC20 token used on aFan, an incentivized social media platform, and Ether coin. We also cover several practical issues such as precision and computation cost problems and the solutions to them, which adopted in the implementation of Fanco Swap. The paper contains a comprehensive survey on existing cryptocurrency exchange services and their pricing mechanism, followed by a formal development of the proposed exchange rate scheme and its comparison with one of the most representative existing exchange rate schemes.
Powercoaching Program and Oral Discourse Competence of Grade 10 Students

Powercoaching is an intervention program which aims to enhance the oral discourse competence of the students. It highlights various activities that can help students with speaking difficulties. It was conducted among Grade 10 students of New Pangasinan National High School during the School Year 2019-2020. This study dealt to determine the level of effectiveness of the powercoaching program in terms of its content, relevance, instructional quality, and acceptability. Experimental research design was employed to determine the level of oral discourse competence of the students in terms of grammar, pronunciation, spontaneity, substance, organization, and diction. The findings of the study showed that the program was excellent and passed the quality standard set by the validators. The level of oral discourse competence of the students in their onset test were both in approaching proficient. The students were either struggling or have not acquired the knowledge, skills and understanding in public speaking. The difference between the levels of oral discourse competence of the students reveals that among the two groups of students, one group performed better in the outset test. The experimental group significantly increased their performance with proficient level compared to the control group. Moreover, there was a significant difference between the mean gain scores of the control and experimental groups. Students under experimental group have gained higher mean than the control group. Hence, the powercoaching program greatly influenced the students’ oral communicative competence. The developed program is then recommended for teachers’ utilization as part of their intervention strategies.
PENGETAHUAN, PERSEPSI DAN PERILAKU MAHASISWA PROGRAM STUDI AKUNTANSI ATAS IMPLEMENTASI REVOLUSI INDUSTRI 4.0

Many literatures stated that the implementation of Industrial Revolution (IR) 4.0 have a significant impact on the development of accounting and challenging for the accountant’s task in the future. This study aims to explore of knowledge, perceptions and behavior of accounting students on the implementation of IR 4.0. The students as a prospective accountants should have competencies on the implementation of IR 4.0. This study uses a qualitative descriptive approach with data collection method by using questionnaires which are categorized into knowledge, perception and behavior statements. We have distributed 105 questionnaires to the students who are currently pursuing the last semester of Diploma (D3) and Bachelor (D4) of accounting program of Politeknik Negeri Jakarta. There are 87 accounting students had participated in the study. Our findings show that 93% of respondents have knowledge of the latest developments regarding IR 4.0 with their implications for the development of accounting science. It is proven statistically and significantly that accounting students (D3 and D4) have different perceptions regarding IR 4.0 while it is not proven of behavior. The result have a consistent number of mean (by SPSS) for variables perception and behavior. Show that students have adequate perception and behavior related to the development of IR 4.0.
Influence of organizational and pedagogical conditions of corporate training on improving effectiveness of pedagogical activity of college teachers in inclusive education

Analyzed is the essence of corporate training as a new form of professional development. Described are requirements for implementation of organizational and pedagogical conditions of corporate training, that contribute to formation of relevant competencies among employees of institution of actual competencies, aimed at increasing of value teachers for work under conditions of inclusive educational environment.
Estimasi Parameter Model Regresi Linier dengan Pendekatan Bayes

Two types of viewpoints in statistics are Frequentist and Bayesian Method. In Bayesian method sees a parameter as a random variable, so the value is not single. Frequentist method that are often used in linear regression are Ordinary Least Square (OLS) and Maximum Likelihood Estimation (MLE). But along with developments, several studies show the results of modeling that are better at using Bayesian method than the Frequentist method. The data used is Poverty data in 2017 from BPS East Kalimantan. The purpose of this study is to estimate the parameters of the regression model with the Bayesian method on data on the number of poor people and regional domestic products in East Kalimantan Province in 2017. To estimate the parameters of the Bayesian linear regression model it is used by the prior conjugate distribution. Then the markov chain is designed from the posterior distribution with Gibbs Sampler as many as 50.000 iterations and the estimated parameters that are the average of the Gibbs Sampler value are = 0.9149, = 5.462, and = 0.2827. From the Gibbs Sampler values ​​that have been obtained, a density function for each parameter is generated so that the Bayesian confidence interval (credible interval) for estimation is  (0.85; 0.9836),  (4.484; 6.439) and (0.2694 ; 0,296) for parameters .
Rethinking Convolution: Towards an Optimal Efficiency

In this paper, we present our recent research about the computational efficiency in convolution. Convolution operation is the most critical component in recent surge of deep learning research. Conventional 2D convolution takes O(C2K2HW) to calculate, where C is the channel size, K is the kernel size, while H and W are the output height and width. Such computation has become really costly considering that these parameters increased over the past few years to meet the needs of demanding applications. Among various implementation of the convolution, separable convolution has been proven to be more efficient in reducing the computational demand. For example, depth separable convolution reduces the complexity to O(CHW⋅(C+K2)) while spatial separable convolution reduces the complexity to O(C2KHW). However, these are considered an ad hoc design which cannot ensure that they can in general achieve optimal separation. In this research, we propose a novel operator called \emph{optimal separable convolution} which can be calculated at O(C32KHW) by optimal design for the internal number of groups and kernel sizes for general separable convolutions. When there is no restriction in the number of separated convolutions, an even lower complexity at O(CHW⋅log⁡(CK2)) can be achieved. Experimental results demonstrate that the proposed optimal separable convolution is able to achieve an improved accuracy-FLOPs and accuracy-#Params trade-offs over both conventional and depth/spatial separable convolutions.
Cross-Platform Software Developer Expertise Learning

In today's world software development is a competitive field. Being an expert gives software engineers opportunities to find better, higher-paying jobs. Recruiters are always searching for the right talent, but it is difficult to determine the expertise of a developer only from reviewing their resume. To solve this problem expertise detection algorithms are needed. A few problems arise when expertise is put into application: how can developer expertise be defined, measured, extracted or even learnt? Our work is attempting to provide recruiters a data-driven alternative to reading the candidate's CV or resume. In this thesis, we propose three novel topic modeling based, robust, data-driven techniques for expertise learning. Our extensive analysis of cross-platform developer expertise suggests that using multiple collaborative platforms is the optimal path towards gaining more knowledge and becoming an expert, as cross-platform expertise tends to be more diverse, thus creating opportunities for more effective learning by collaboration.
An analysis of Indonesian literary translation ‘Pena Beracun’ by Suwarni A.S. from Agatha Christie’s novel The Moving Finger

The work of translation is not a matter of only transferring words from one language to another. It is a communication bridge through which a translator must pick up and carry the message of the whole text that the writer is trying to communicate in the given situation of the source-text readers and deliver it to the target-text readers in their adopted and adapted situation. This is the point at which a translator often misses what is in the writer’s mind because s/he is unable to get into the writer’s mind to reveal the hidden message. As a result, the way the readers of the target text think and feel about what they read is often not the same as the way the readers of the source text do. This paper is aimed at finding out problems related to non-equivalence from the word level to the pragmatic level based on Baker’s that may be found in a literary translation of the first chapter of Pena Beracun by Suwarni A.S from Agatha Christie’s novel ‘The Moving Finger” and discusses the translator’s choices of the target text equivalence for the source text. The method of this study is a library research. The data was collected from two sources: Pena Beracun, an Indonesian translation of ‘The Moving Finger’ by Agatha Christie and its original English novel. The data collection technique was done by comparing the two sources to find non-equivalence problems from the word level to the textual level. The problem(s) in the translator’s choice of TL equivalence for SL, which may range from choosing the equivalence at word level to the choice of textual equivalence was identified and discussed by referring to the strategies as proposed by Baker (2011). Lots of cases of non-equivalence problems are found in the translation of the first chapter Pena Beracun by Suwarni A.S from Agatha Christie’s novel ‘The Moving Finger’ which range from non-equivalence at word level to textual level. Most of the problems of non-equivalence are related to collocation and fixed expressions. The translator’s strategies to overcome the problems are directed more to the acceptability and naturalness in the target language, giving style to the literary use of language.