Reviewerly/exHarmony huggingface dataset:
Technological Innovation: A Balance between Indispensability and Feasibility

In order to explore thinking in technological innovation by using modal logic, a technology is analyzed to be a set of action propositions and a technological innovation is regarded to form a new set of such propositions by deliberating each action proposition and then introducing new ones. An acti on proposition is indispensable if regarded as necessary no matter how the technology involved is innovated. An action proposition is feasible if workable but replaceable in terms of achieving some effect(s). Hence, a technological innovation constitutes a balance between indispensability and feasibility. Logics containing the operators of indispensability and feasibility can be used to draw inferences regarding technological innovation. Broadly speaking, logical systems provided in this paper are design logic.
Exploring Brown and Levinson's Politeness Strategies: An Explanation on the Nature of the Politeness Phenomenon

This study aimed at reviwing brown levinson politeness strategies purposed in their book (1978) entitled "POLITENESS (Some Universals in Language Usage)". Over the past three decades, there has been a significant increase in research on politeness strategies from social and linguistic aspects. This is evident from the many papers that appear on this issue in international journals and monographs. Brown and Levinson (1978) developed a theory to explainphenomena related to the Politeness on verbal communication and non-verbal. This article For methods using a content analysis approach as a qualitative in research. Which has been studied in the book Brown &amp; Levinson This article is interested in focusing on the types of politeness strategies put forward by Brown and Levinson (1978). This present study sees politeness stretegies proposed by brown and levinson still can be used in current situation related politeness both verbal and non verbal communication.&#x0D;
Media Konsultasi Penyakit Kulit Pada Balita Menggunakan Metode Certainty Factor

The skin, which is the largest part of the human body, is the body's first defense against bacterial and virus attacks. When the skin is exposed to the sun, dry weather, or bacteria, the reaction will spread to other parts of the body, and can even result in death if it is too late to be handled especially if the sufferers are children who are very vulnerable to disease. In this study an expert system was implemented to diagnose skin diseases in infants using the certainty factor method. certainty factor method is very suitable for expert systems that diagnose something that is uncertain. This system makes a diagnosis based on the symptoms felt by the user and then calculates certainty factors based on existing symptoms. Based on the test results by making comparisons between manual calculations and the one carried out by the system it is known that 90.22% of the diagnosis results get the same results so that the system is said to be suitable for use.&#x0D;
Class-Based Associative Classification Using Super Subsets to Predict the By-diseases in Thyroid Disorders

Data Mining in healthcare domain can provide the unknown information in the form of knowledge for decision support systems. Data mining can be used for effective diagnosis of diseases to recommend the healthcare world. Thyroid disorders are found in common all over the world, and these disorders are the causes for many other health issues. The need to discover the hidden patterns from the thyroid data always arises in such contexts to reduce the thyroid side effects. Associative classification techniques in Data Mining can provide better outcomes in terms of accuracy and prediction of data and here co-diseases. This research paper discusses the results and experiments carried out using Associative Classification. This work proposes the improved form of Associative Classification algorithm called CBACSS for better accuracy.
MOBILE LEARNING TEACHER COMPETENCIES FRAMEWORK

Advancements in mobile and wireless technologies have increased the adoption rate of mobile learning.Mobile learning offers numerous affordances to education: time and location independence, ubiquity and context awareness, adaptivity and personalization, social interactivity and easier administration.However, for the effective integration of mobile learning in schools, teachers should have the appropriate competencies in order to integrate mobile technologies into their professional practise.
Development of Android Based Online Nurse Test Preparation

The Indonesian Nurses Competency Test (UKNI) is a process to determine whether a person is worthy to become a nurse in Indonesia. In 2018 the UKNI test was carried out by 55,573 total participants with a pass percentage of 47.15%. This figure is quite low considering the need for nurses in Indonesia which is still quite high. The unpreparedness of participants in facing tests, either readiness in terms of test material or in terms of mentality is one of the causes of the low pass rate of UKNI. Online Nurse Test (ONT) UKNI is expected to be one of the solutions to answer the above problems. ONT UKNI is a mobile application that has been equipped with learning material, try out, and discussion features aimed to help School of Nursing students in facing UKNI test. The development of the ONT UKNI application uses the modified waterfall model and uses the observation approach and literature review in collecting data and materials which will then be used for the development of the ONT UKNI application. ONT UKNI offers new sets of try out questions and discussion feature that may useful for users. Functional tests has been conducted with 100% results so it can be concluded that the ONT UKNI application is suitable for use.Keywords: Android, Mobile Learning Application, UKNI
Potential of students’ project work using the example of childfree phenomenon analysis

Information and communication technologies create new educational opportunities, and the most obvious of which are related to e-learning. Nowadays Internet provides great opportunities for organizing a team project work. The article considers an example of quantitative and content analysis of authentic materials and relevant themes in social networks while studying English. The phenomenon of “childfree” is rather common trend among young people, analysis of which could serve as an incentive to motivate them in acquiring real practical knowledge and skills. The study revealed that statements on this topic are overwhelmingly made by women who can praise a childless lifestyle; that there are different problems related to having children and fears related to pregnancy, childbirth, etc. Photos (selfies, happy moments with pets, frames from travel, achievements in sport) in social networks exacerbate the situation by providing an attractive alternative to families with children, and extra evidence to verbalized rational reasons for supporting “childfree”. The studied example shows that such kind of project work fosters developing critical thinking, language, intercultural, and analytical skills.
The Effectiveness of Using Infographics as an Aid for Reading Comprehension

Reading comprehension is one of the most vital skills that is needed in acquiring a language. However, the Malaysian pupils seem to have not master the skill and this have resulted in pupils lacking a good reading skill especially when it comes to English language. Therefore, it is important for the pupils to have a support system which would enable them to make better connection with their reading materials. Thus, the purpose of this study is to determine the effectiveness of using infographics to enhance reading comprehension among the primary school pupils with average and weak English language proficiency. The data of this research was collected through tests before the intervention and after the intervention. The data were collected from the test and was analysed. The finding of this research shows that there is a significant improvement of the mean score from the pre-test to the post-test. As this research has proven that the use of infographics was effective in enhancing reading comprehension among the pupils, it will benefit the teachers to use the intervention to help the pupils to comprehend the text better and also to will enable the pupils to experience fun their reading session.
Scaling Bit-Flexible Neural Networks

This paper proposes a neural network training scheme in order to obtain the network weights represented in the fixed-point number format such that under the different truncated lengths of the weights, our neural new network can all achieve near-optimized inference accuracy at the corresponding word-length. The similar idea has been explored before; however, the salient feature of our proposed scaling bit-progressive method is we have further taken into account the use and training of weight scaling factor, which can significant improve the inference accuracy. Our experimental results show that our trained Resnet- 18 neural network can improve the top-1 and top-5 accuracies of Tiny-ImageNet dataset by the average of 11.02% and 9.21% compared with the previous work without using the scaling factor. The top-1 and top-5 accuracy losses compared with float-point weights are only about 0.5% and 0.31% under the truncated size of 5-bit. The proposed method can be applied for neural network accelerators especially for those which support bit-serial processing.
Kombinasi Metode Correlated Naive Bayes dan Metode Seleksi Fitur Wrapper untuk Klasifikasi Data Kesehatan

Most features of health data that have many irrelevant features can reduce the performance of classification method. One health data that has many attributes is the Pima Indian Diabetes dataset and Thyroid. Diabetes is a deadly disease caused by the increasing of blood sugar because of the body's inability to produce enough insulin and its complications can lead to heart attacks and strokes. The purpose of this research is to do a combination of Correlated Naïve Bayes method and Wrapper-based feature selection to classification of health data. The stages of this research consist of several stages, namely; (1) the collection of Pima Indian Diabetes and Thyroid dataset from UCI Machine Learning Repository, (2) pre-processing data such as transformation, Scaling, and Wrapper-based feature selection, (3) classification using the Correlated Naive Bayes and Naive Bayes methods, and (4) performance test based on its accuracy using the 10-fold cross validation method. Based on the results, the combination of Correlated Naive Bayes method and Wrapper-based feature selection get the best accuracy for both datasets used. For Pima Indian Diabetes dataset, the accuracy is 71,4% and the Thyroid dataset accuracy is 79,38%. Thus, the combination of Correlated Naïve Bayes method and Wrapper-based feature selection result in better accuracy without feature selection with an increase of 4,1% for Pima Indian Diabetes dataset and 0,48% for the Thyroid dataset.
Syntax as a Cognitive Process: Left-Corner Parsing with Visual and Motor Interfaces

In the previous chapters, we introduced and used several ACT-R modules and buffers: the declarative memory module and the associated retrieval buffer, the procedural memory module and the associated goal buffer, and the imaginal buffer. These are core ACT-R modules, but focusing exclusively on them leads to solipsistic models that do not interact in any way with the environment.
Factors Influencing the Improvement of Students’ Writing Skill Through Peer Editing Technique

This research investigated the students’ writing skill on recount text at session at session 2016 A English Department of STKIP West Sumatera. Some of them had difficulties in organization, content, grammar, mechanic, and vocabulary. Then, they really need lecturers’ correction in every step of their writing process. Therefore, the researcher applied peer editing technique as the focus of research to solve this problem. The purposes were to find whether peer editing technique can improve students’ writing skill on Recount Text and some factors influence the improvement. The methodology of research is a classroom action research (CAR). Researcher used writing test and questionnaire as the instruments. The finding of the research showed that the students’ writing skill of recount text improves through Peer Editing technique and there are four factors influenced the improvement.
Effects of Image Upload on Social Media as Media Promotion in Journal Publishers

Digital content is content in various formats, whether written, image, video, audio or combination so that it can be read, displayed or played by a computer and easily sent or hared through digital media. Digital content has abundant benefits, especially in the field of promotion. Where when a place of business or a body wants to introduce a product or service that is owned, it definitely requires content such as images as a promotional media. However, if you have to distribute posters to everyone you meet, it is not in line with current technological advancements because you are still using a conventional process. Therefore, to overcome this problem, social media can be used to process digital content easily and quickly. In this study, there are 3 (three) problems that will be overcome by 2 (two) methods, and 3 (three) solutions are produced. The advantage of digital content in social media is that it can be accessed anytime and anywhere, so it is concluded that the use of digital content in social media is able to overcome problems and is a creativepreneur effort found in the promotion system of a journal publisher.&#x0D; &#x0D; Keywords—Digital Content, Creativepreneur, ATT Journal, Social Media
Design of robust fuzzy Sliding-Mode control for a class of the Takagi-Sugeno uncertain fuzzy systems using scalar Sign function

This article presents a fuzzy sliding-mode control scheme for a class of Takagi-Sugeno (T-S) fuzzy which are subject to norm-bounded uncertainties in each subsystem. The proposed stabilization method can be adopted to explore T-S uncertain fuzzy systems (TSUFS) with various local control inputs. Firstly, a new design is proposed to transform TSUFS into sliding-mode dynamic systems.In addition, the proposed stabilization condition for the sliding-mode dynamic system can be formulated in terms of linear matrix inequalities (LMIs) using the Lyapunov functions. Finally, the validity of the proposed design strategy is demonstrated through the simulation of an inverted pendulum on a cart. According to simulation results, the performance indexes of the proposed method can achieve satisfactory results with minimum energy control effort, faster response, and zero steady-state error.
Knowledge and Attitude Towards ICT Among Medical Record Unit Workers, Northwest Ethiopia, 2018: &amp;lt;i&amp;gt;Institutional Based Cross-Sectional Study&amp;lt;/i&amp;gt;

Background: -In Ethiopian medical care system, medical record unit is an entry to medical care services which is 100% run by non-medical health care workers.Therefore, looking at their knowledge and attitude towards ICT as a pre-requisite to electronic medical record system is mandatory.Methods: Institutional based cross-sectional study design was conducted from November 15, 2017 to 30, and 2017 G. C. Descriptive statistics like frequency tables and percentages were used to present descriptive data.At bivariable analysis, the effect of each independent variable was tested at individual level holding other variables constant against the dependent variable.Finally, variables with p-value<0.2were taken to multivariate analysis and existence of association was declared for variables with p-value<0.05at 95% confidence interval.Result: A total of 261 study participants were involved in the study with a response rate of 91.3%.The mean age of the participants was 26 (SD=±6.8)and 111 (42.5%) of their age group was ≤25 years of old.Of all the study participants, 169 (64.8%) of them had adequate knowledge.However, only 141 (54%) of the study participants had favorable attitude towards ICT.At multivariate analysis only residence (AOR=2.56,95% CI [1.28, 5.10]), workload (AOR=3.67,95% CI [1.92,7.00])and basic computer training (AOR=14.5, 95% CI [6.82, 30.9]) were identified as factors affecting knowledge towards ICT while residence (AOR=7.04,95% CI [3.5, 14.17]), experience (AOR=1.99,95% CI [1.06, 3.72]), workload (AOR=2.84,95% CI [1.5, 5.38]) and availability of a computer (AOR=9.16,95% CI [4.17, 20.11]) were factors affecting attitude towards ICT.Conclusion and recommendations: The level of knowledge and attitude towards ICT among non-health care provider medical unit workers was very low as per expectations and compared to literatures reviewed in this research.Recruiting additional medical record unit workers, giving training, availing computer, creating a mechanism experience sharing and on job training were recommended to improve the problem.
Hyperledger Technology in Public Organizations in Ecuador

The globalization of information has been present in several contexts and required in digital lathes with cutting-edge technology, both for private and public institutions. In Ecuador the need has been observed to invest in new technologies, in public institutions, be it education, in the electoral field or companies of other services. The objective was to analyze the benefits of Hyperledger technology in public institutions in Ecuador. The deductive method was used and a quantitative criterion was maintained, through the study of research papers that allowed a description of the use of said technology and its applicability in said organizations. The problem was oriented to the need to apply a technology that provides better processes and with greater security. It turned out that Hyperledger technology allowed us to work faster, reduce costs, environmentally friendly and provide greater security. It was concluded that the application of Blockchain Hyperledger technology provides a framework for public administrations, because it has improved the different transactions made, helped reduce fraud by applying encryption, minimized the possibility of error, and improved communication between government and citizen services.
Neural Poisson Factorization

In this work, we focus on dealing with a sparse users' feedback matrix and short descriptions/contents of items in recommender systems. We propose the Neural Poisson factorization (NPF) model which is a hybrid of deep learning and Poisson factorization. While Poisson factorization is suitable to model discrete, massive and sparse feedback, using a deep neural network and pre-trained word embeddings can learn hidden semantic in short item descriptions well. Therefore, NPF overcomes the limitation of existing models when dealing with short texts and a sparse feedback matrix. Moreover, we develop a random view algorithm based on stochastic learning for our model, in which each user is only viewed a random subset of items and his/her feedback on the subset is used to update his/her representation in each iteration. This approach is reasonable because each user can only know or view a partial subset of items when surfing a system. Extensive experiments illustrate the significant advantages of NPF over content-based matrix factorization methods and others that ignore item descriptions.
Type-2 Combined T-S Adaptive Fuzzy Control

For a class of nonlinear systems with a nonlinear relationship between input and output, a fuzzy control method combining interval type-2 and T-S fuzzy controller is proposed based on type-2 fuzzy system theory. In order to ensure its stability, anti-interference ability, and minimum approximation error, this design combines direct, indirect, supervised, and compensation control types to construct the controller. In this way, the structure of the controller not only has the characteristics of the type-2 fuzzy set, which can reduce the uncertainty of rules, but also has a T-S fuzzy model with linear combination of input variables, which can improve the modeling accuracy and reduce the number of rules of the system. By using the Lyapunov synthesis method, the global stability and the convergence of the closed-loop system under the condition that all variables are uniformly bounded are analyzed, and the adaptive laws of the system parameters are given as well. Finally, the effectiveness and superiority of the proposed method are verified by simulation.
Aspect Category Detection on Indonesian E-commerce Mobile Application Review

E-commerce platform has a great influence on the growth of digital economy in Indonesia. This promising sector creates a fierce competition between e-commerce platforms. User reviews can be utilized to discover useful information for both developers and users. Developers use them for enhancing their application, while users take them as a consideration for using the application. We perform aspect category detection to retrieve the important aspects in reviews. We gather and analyze any aspect categories related to e-commerce and find that new potential aspects can be obtained from mobile application reviews, such as promos and payment. For identifying the aspects, we employ two different approaches, one-vs-all and single model, for 3748 annotated reviews. In one-vs-all we compare Naive Bayes, SVM, and the effect on using class-weights in SVM, since the distribution in the dataset is imbalanced. Meanwhile, we implement neural networks architecture for single model. We compare CNN to GRU+CNN architecture. GRU+CNN successfully achieves overall best result on both example-based and label-based performance metrics for multi-label task in our dataset. In example-based we use Hamming score to calculate the accuracy where GRU+CNN gets 71%, and it obtains 78% samples average F1-score for labelbased metric.
Modular Technique of 3D Modeling and Procedural Texturing for 3D Game Environment Design of “Jurnal Pahlawan”

3D game “Jurnal Pahlawan”(Hero’s Journal) is a game project based on the battle of Surabaya, Indonesia in November 1945 between Indonesian soldiers and British & British Indian troops. The purpose of this project is proposing a joyful learning media with history contents for youth through the game. The young users can interact with game system, which resemble to historical recount of the battle of Surabaya. The 3D digital visualization of the game world leads game players are be immersed to the game. This paper describes the process of designing the game environment, mainly historical building modeling and texturing. The research uses qualitative method such as battlefields observation, literature study and visual existing study. In addition, the assets design process uses modular technique in 3D building modeling and procedural texturing. Finally, the result of this design process gives opportunities for 3D designers to create game environment systematically. It means, in terms of 3D game environment, the repetition process of 3D assets production could be applied for making huge digital architectural in the game world easily.