Reviewerly/exHarmony huggingface dataset:
Design and Development of Fuzzy Logic Application Tsukamoto Method in Predicting the Number of Covid-19 Positive Cases in West Java

The increase in covid-19 positive patients in Indonesia, especially in West Java, is unpredictable, resulting in unpreparedness in dealing with covid-19 cases. People in monitoring and patients under supervision are the category that is breast-positive patients after passing the incubation period for 14 days. Fuzzy logic is one derivative of artificial intelligence that is able to predict a thing.The study used the fuzzy logic of the Tsukamoto method to predict the percentage increase in positive cases of covid-19 with measures performed are fuzzification, rule formation, inference, and defuzzification. The results showed a 4.5% error rate indicating that predicting covid-19 using the fuzzy logic of the Tsukamoto method was successful.
Cryptography used in SecuringVehicles Electronic Control Units

Electronic Control Units(ECUs) are know as the brains of a vehicle. A modern vehicle can have over eighty ECUs. All of these brains are given a particular task and all of them are controlled by a Super Master ECU which knows what the vehicle is doing and how it is behaving. These ECUs are vulnerable to attacks. Attacks to the brains of a vehicle can result in causalities. Hence the concept of cryptography is adopted into the field of automobiles.
Implementation Politeness in Talk Show “Quality of Education in the Middle of Pandemy” For Learning Speech Skills In Schools

Forms of politeness in various kinds of talk shows that can be used for learning activities at school, one aspect of speaking akills.The research objective describes the principles of politeness on talk shows on metro TV and is implemented for learning speaking skills in schools, especially learning Indonesia.Researchers explain the principles of politeness contained in talk shows and their implementation of speaking skills.This type of qualitative research method describes research data obtained factually, accurately from the community based on observed behavior.The results of the research on the use of the principle of politeness in the talk show are the maxim of wisdom, generosity, appreciation, approval and deviation of the maxim of appreciation.The conclusion of this research is that the principle of politeness in very speech by speakers and speech partners is implemented into learning speaking skills in schools.
Effect of Firm Characteristics on Dividend Policy in Firms Listed in Nairobi Security Exchange, Kenya

The main aim of the paper was to establish the mediating effect of firm characteristics on dividend policy.The study is informed by Catering theory of dividends.This study was informed longitudinal research design.The target population comprising forty three (43) banks will be retrieved from the Central Bank of Kenya (CBK) and Nairobi Securities Exchange (NSE).Each bank was analyzed annually for 10 years giving 430 firm year observations.A census approach was used to include commercial banks registered with the CBK and banks listed in the NSE.The data collection instrument to be used in this study was content/document analysis.a panel data framework using fixed and random effect was used to test the hypotheses.Findings from random model showed that firm portability, ownership, leverage and liquidity had significant effect on dividends policy.Thus, based on the evidence from study findings, firms with higher profitability and higher liquidity will pay more dividends.In addition, banks with high level of ownership concretion and liquidity have high probability for paying dividends.The key contribution of this study is that it helps shed additional light on the inconclusive issues regarding the effects of ownership structure, profitability, liquidity and leverage on dividend policy in banks.In addition, Financial managers in banks can use the findings to improve the payment of dividends, investment policy and capital budgeting decisions of banks.Consequently, government and relevant regulatory agencies would formulate policies and regulatory framework that take cognizance of the influence of firm characteristics on dividend policy.This is the first study that investigates ho bank specific characteristics affect the propensity to pay dividends and dividend payout along with long-term relationships in a single study
Advanced Single Image Resolution Upsurging Using A Generative Adversarial Network

The resolution of an image is a very important criterion for evaluating the quality of the image. A higher resolution of an image is always preferable as images of lower resolution are unsuitable due to fuzzy quality. A higher resolution of an image is important for various fields such as medical imaging; astronomy works and so on as images of lower resolution becomes unclear and indistinct when their sizes are enlarged. In recent times, various research works are performed to generate a higher resolution of an image from its lower resolution. In this paper, we have proposed a technique of generating higher resolution images form lower resolution using Residual in Residual Dense Block network architecture with a deep network. We have also compared our method with other methods to prove that our method provides better visual quality images.
EKSPERIMENTASI PENDEKATAN CTL BERBANTUAN MEDIA IJS DALAM MENGOPTIMALKAN KECERDASAN LINGUISTIK SISWA SEKOLAH DASAR

An experimental research has been successfully carried out in grade I at SD AL-Islam Pengkol and SDN 1 Pengkol Jepara. The implementation of CTL approach by IJS (Innovative Javanese Song) media is used to optimize linguistic abilities and learning outcomes in science learning. This research applies an experimental method to the type of non-equivalent control group design. The results showed a percentage of linguistic ability scores seen from the development of CTL learning by IJS media. Student learning outcomes have also increased. Cognitive test results show an average classical completeness of 90-95%. The gain score test results are 0.75 with a high category. The t-test results showed that the t-test was 8.619, greater than the t-table, 2.021. Affective learning outcomes show an average classical completeness of 80-82%. Psychomotor learning outcomes show an average classical completeness of 82%. It can be concluded that there are significant differences in linguistic abilities and learning outcomes in science learning with the CTL approach using IJS media. Therefore the teacher can develop this media on learning other material
Pelatihan Online Basic PHP Programming untuk Aparatur Sipil Negara (ASN) dan Non ASN Pemerintah Kota Bekasi

&#x0D; Technology currently plays an important role in the Government sector, with the existence of this technology each sector can maximize its system. State Civil Apparatuses (ASN) and Non-ASN Government in mastering basic PHP programming is very much needed. Implementation of Community Service (PkM) is carried out in accordance with the form of the implementation of the MoU that has been carried out between Bekasi City Government and Bina Insani University. The training was conducted online through a meeting zoom which was attended by 88 participants with the overall results of the training giving a positive response in the range of grades 4 (Good / Satisfied / Good) and 5 (Very Good / Very Satisfied / Very Good).
PENINGKATAN HASIL BELAJAR SISWA MELALUI MODEL QUANTUM TEACHING DAN MEDIA PALANG ARAHKU

This study aims to describe the improvement of learning outcomes (knowledge and skills) as well as the teaching skills of fourth grade teachers at SDN 1 Gondoharum on theme 6 My goals by using Quantum teaching learning models assisted by PALANG ARAHKU. The type of research is Classroom Action Research. This research was conducted with 27 research subjects and teachers which lasted for 2 cycles. Each cycle consists of 4 stages, namely planning, implementation, observation, and reflectionThe results of the study in the first cycle of the knowledge domain of IPS and Indonesian students in classical terms gained 68.7% (good). Then it increased in cycle II to 86.99% (very good). In the realm of skill cycle I gained a percentage of 71.5% (good) increased in cycle II to 87.5% (very good). The results of teacher teaching skills have increased. In cycle I gained a percentage of 71% (good) and cycle II increased to 85% (very good). Based on the results of cycle I and cycle II of the Quantum teaching model of grade IV students at SDN 1 Gondoharum Kudus.
Fair Embedding Engine: A Library for Analyzing and Mitigating Gender Bias in Word Embeddings

Non-contextual word embedding models have been shown to inherit human-like stereotypical biases of gender, race and religion from the training corpora.To counter this issue, a large body of research has emerged which aims to mitigate these biases while keeping the syntactic and semantic utility of embeddings intact.This paper describes Fair Embedding Engine (FEE), a library for analysing and mitigating gender bias in word embeddings.FEE combines various state of the art techniques for quantifying, visualising and mitigating gender bias in word embeddings under a standard abstraction.FEE will aid practitioners in fast track analysis of existing debiasing methods on their embedding models.Further, it will allow rapid prototyping of new methods by evaluating their performance on a suite of standard metrics.
The Phenomenology of Second-Level Inference: Perfumes in The Deductive Garden

We comment on certain features that second-level inference rules commonly used in mathematical proof sometimes have, sometimes lack: suppositions, indirectness, goal-simplification, goal-preservation and premise-preservation. The emphasis is on the roles of these features, which we call 'perfumes', in mathematical practice rather than on the space of all formal possibilities, deployment in proof-theory, or conventions for display in systems of natural deduction.
CLEVR Parser: A Graph Parser Library for Geometric Learning on Language Grounded Image Scenes

The CLEVR dataset has been used extensively in language grounded visual reasoning in Machine Learning (ML) and Natural Language Processing (NLP) domains.We present a graph parser library for CLEVR, that provides functionalities for object-centric attributes and relationships extraction, and construction of structural graph representations for dual modalities.Structural order-invariant representations enable geometric learning and can aid in downstream tasks like language grounding to vision, robotics, compositionality, interpretability, and computational grammar construction.We provide three extensible main components -parser, embedder, and visualizer that can be tailored to suit specific learning setups.We also provide out-of-thebox functionality for seamless integration with popular deep graph neural network (GNN) libraries.Additionally, we discuss downstream usage and applications of the library, and how it accelerates research for the NLP research community 1 .
Application of Kahoot Media to Improve Student Learning Outcomes in Finding Vocabulary and Meaning of Vocabulary Relating to Social Life

&lt;p&gt;&lt;em&gt;The purpose of this study was to improve student learning outcomes in finding vocabulary and vocabulary meanings related to social life. This research is a classroom action research (PTK) which is carried out in three cycles, each cycle consisting of planning, implementation, observation, and reflection stages. The subjects of this study were students of class II SD Negeri Sukareja 02 in the 2020/2021 school year, totaling 14 students. Data collection techniques using tests. Data analysis includes data reduction, data presentation, and drawing conclusions. Research shows that the application of Kahoot media can improve student learning outcomes in the material of finding vocabulary and meaning related to social life in class II SD Negeri Sukareja 02 in the academic year 2020/2021 as evidenced by the percentage of completeness of learning outcomes in cycle I of 71%, cycle II of 86 %, and becomes 93% in cycle III.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
Geometry Construction Problems in Electronic Educational Environment as a Development Means for the Students’ Conceptual Mental Structure: Socio-Cultural Approach

In addition, value-based knowledge is developed, providing the value positions experience and creating conditions for the formation of the axiological sphere of the student’s personality. The statistical data analysis confirmed the hypothesis that the student’s general proficiency in solving geometry construction problems in terms of socio-culturally oriented education influences positively the development of conceptual mental structures.
DINAMIČKO PROGNOZIRANJE MREŽNIH SERVISA

The Thirty-Eighth Symposium on New Technologies in Postal and Telecommunications Traffic – PosTel 2020, is scheduled for December 1 and 2, 2020. The Symposium is organized by the Department of Postal and Telecommunication Traffic of the Faculty of Transport and Traffic Engineering – University of Belgrade. The co-organizers are: A state-owned enterprise "Post of Serbia", "Telekom Srbija", and Regulatory Agency for Electronic Communications and Postal Services (RATEL). The Symposium is supported by the Ministry of Education, Science and Technological Development and the Ministry of Trade, Tourism and Telecommunications of the Republic of Serbia. The main aim of this event and the accompanying Symposium Proceedings is to present state-of-the-art scientific and technological achievements in the field of postal and telecommunications traffic. All presented and published papers are invited and their number is limited. The topics of the Symposium and the most competent authors are determined by the Program Committee.
TEACHING INTELLIGENT CONTROL: THE INVERTED PENDULUM EXPERIMENT REVISITED

This work shows how to use inverted pendulum hardware in the teaching of intelligent control techniques. The concepts of a fuzzy logic based controller are applied on an inverted pendulum. The design process is explained in detail, offering a practical guide for the reproduction of both the experiment and simulation. Last but not least, the results are commented and the performance achieved with this controller is compared to that of the original one, which was delivered with the hardware. This work also suggests future developments for new undergraduate teams.
Ep.27- Building Your Online Presence

Product + Business personality + Design + Logo = WEBSITE!! Leads, exposure, brand awareness. If you think you don’t need a website, that you can ...
Phenomenology Of Corruption: Socio-Psychological Aspect

This article is devoted to the analysis of corruption issues, where the authors set the task to answer such questions as: whether the concepts of “corruption activity” and “corruption behavior” are identical; what variations of coping mechanisms may more disguise and realize unconscious aspects of corrupt behavior; what factors are fundamental for the development of corrupt behavior of an individual and taking such a model of behavior as a base when solving controversial issues during interpersonal communication, as well as in intractable life situations; what approach will be most effective for understanding corruption issues from the point of view of social psychology. In the process of answering these questions, the authors considered various interpretations of the understanding of corruption, its manifestations and features in the structure of interpersonal communication. The existing typologies of corruption in the analysis of their characteristics has been analyzed. The scientific views on the origin, sources and factors of the development of corruption in modern society are given. The authors describe the factorial system of determinants that determine the “trigger mechanism” of the potentials of corruption at the individual level. The article provides a phenomenological analysis of the manifestations of corruption. The concepts of “corrupt behavior” and “corrupt activities” are differentiated. A phenomenological analysis of corruption is summarized by highlighting variations in coping mechanisms that mask and implement unconscious aspects of corrupt behavior.
Sparse and Decorrelated Representations for Stable Zero-shot NMT

Using a single encoder and decoder for all directions and training with English-centric data is a popular scheme for multilingual NMT.However, zero-shot translation under this scheme is vulnerable to changes in training conditions, as the model degenerates by decoding non-English texts into English regardless of the target specifier token.We present that enforcing both sparsity and decorrelation on encoder intermediate representations with the SLNI regularizer (Aljundi et al., 2019) efficiently mitigates this problem, without performance loss in supervised directions.Notably, effects of SLNI turns out to be irrelevant to promoting language-invariance in encoder representations.
EFEKTIVITAS PEMBELAJARAN KOOPERATIF TIPE PAIR AND CHECK DALAM PEMBELAJARAN MATEMATIKA

This article is to obtain results from the application of the Pair and Check type of cooperative learning model in Mathematics subject matter number factorization material in class IV MIN 1 Pasuruan. Researchers use quantitative methods with quasi-type experiment using Pretest and Posttest. The sample used in the study was class IV C students as the experiment class and IV D as the control class which was also a superior class with a total of 25 students and 23 students so that the total sample was 48. Data collection was conducted by holding Pretest and Posttest. The data analysis technique that the research uses is the z test. In the z test results there are significant differences between the control class and the experiment class. At the pretest the average learning outcomes of students in the control class were 47.65 and in the experiment class the average student learning outcomes were 40.8. while the posttest obtained an average of 70.36 in the control class and 81.83 in the experiment class. So that it can be concluded based on the results of these studies that there is influence when applied the type of cooperative learning model Pair and Check in the content of Mathematics study material number factorization in class IV MIN 1 Pasuruan.
Design of early warning system for reservoir flood level based on probability analysis

Due to the poor accuracy of early warning results in the traditional reservoir flood level early warning system, resulting in unstable output voltage, based on this, a reservoir flood level early warning system based on probability analysis is proposed and designed.Its hardware consists of tc401 capacitive sensor, pressure sensor dx130 and water level signal conditioning circuit.Its software design includes database design, water level and flow information setting, water level early warning setting.Through the system hardware design and software design, the design of the reservoir flood water level early warning system is completed.The experimental results show that compared with the traditional early warning system, the designed water level early warning system is more accurate, and the output voltage is more stable.
Research on the Development Opportunities and Students&amp;apos; Employment of Higher Vocational Education Colleges in Guangdong-Hong Kong-Macao Greater Bay Area

This paper expounds the development opportunities of higher vocational education institutions in Guangdong-Hong Kong-Macao Greater Bay Area and the necessity of accelerating the adjustment and improvement of teaching methods, based on the data analysis of auto maintenance industry, logistics transportation production, finance and the other fields of skilled personnel in this Area.Since the implementation of the Outline of Guangdong-Hong Kong-Macao Greater Bay Area Development Plan by the Central Committee of the Communist Party of China and the State Council, the newly registered similar industries in Guangdong-Hong Kong-Macao Greater Bay Area have increased dramatically, showing a substantial increase.On the one hand, it is found that some enterprises and employers are reduce the number of posts and personnel so as to reduce the input cost of human resources, and reduce unnecessary production links so as to avoid invalid production costs, so as to improve work efficiency.On the other hand, they are in urgent need of high-level technical and technical talents who can fight when they come.The graduates of higher vocational colleges were never favored by employers, and their orientation and direction were unclear.Compared with the graduation certificates of ordinary colleges and universities with the same major, they were "second-class certificates".In fact, the graduation certificates of higher vocational colleges are showed the characteristics of "practical certificates".
An Error Analysis of Phrasal Verb Mistake Based on Surface Strategy Taxonomy In Writing An English Essay

The purpose of this study was to find and analyze phrasal verb mistake based on surface strategy taxonomy in English essays written by students. This research was conducted using a qualitative approach with content analysis methods. The data source of this research is the first semester students of the Accounting Program Prof. Dr. Hazairin, SH University in academic year 2019/2020. The data consisted of 24 essays written by students. The results of this study indicate that there are 76 errors from four categories of errors including: obmission, misformation, addition, and misordering. Based on the research findings, it can be concluded that the highest error is found in misformation namely 30 times (86%). Causing a misperception between the writer and the reader. Therefore phrasal verb is indispensable in writing essays in English.
Linguist Geeks on WNUT-2020 Task 2: COVID-19 Informative Tweet Identification using Progressive Trained Language Models and Data Augmentation

Since the outbreak of COVID-19, there has been a surge of digital content on social media. The content ranges from news articles, academic reports, tweets, videos, and even memes. Among such an overabundance of data, it is crucial to distinguish which information is actually informative or merely sensational, redundant or false. This work focuses on developing such a language system that can differentiate between Informative or Uninformative tweets associated with COVID-19 for WNUT-2020 Shared Task 2. For this purpose, we employ deep transfer learning models such as BERT along other techniques such as Noisy Data Augmentation and Progress Training. The approach achieves a competitive F1-score of 0.8715 on the final testing dataset.