Reviewerly/exHarmony huggingface dataset:
Unfair authorship in science publications and approaches to eliminate it

Unfair authorship is one of the most common violations of the publication ethics. These violations comprise «guest», «donated» and «invisible» authorship when the author line indicates the persons that actually are not the authors, or, instead lacks actual executors of studies. This phenomenon is characteristic for the world as a whole; however the developing states striving to carry science to a new level, are the most vulnerable. This is due to inefficient science management, in particular due to formal approach to researcher efficiency evaluation, due to the citation and publication activity indicators use when employing staff, career promotion, giving grants, etc. Scientific and publication communities develop approaches to fight unfair authorship, including implementation of special authorship indicators, new regulations and instructions for editors, reviewers and authors. The bibliometrical approaches are also seen as promising ones. The current status of the problems and solutions are characterized.
Prolog for Verification, Analysis and Transformation Tools

This article examines the use of the Prolog language for writing verification, analysis and transformation tools.Guided by experience in teaching and the development of verification tools like PROB or specialisation tools like ECCE and LOGEN, the article presents an assessment of various aspects of Prolog and provides guidelines for using them.The article shows the usefulness of a few key Prolog features.In particular, it discusses how to deal with negation at the level of the object programs being verified or analysed.
Algoritma Apriori Sebagai Solusi Kontrol Persediaan Suku Cadang Mobil PT. Buanasakti Aneka Motor Jakarta

PT. BuanaSakti Aneka Motor is one of the car distributor agents located at warung buncit raya street No. 109 Duren Tiga, South Jakarta. Everyday the data piles is increase more and longer. PT. BuanaSakti Aneka Motor sometimes has difficulty to knowing how many spare parts occur in one transaction, so data or new stock information is difficult to find sometimes experiencing errors. To find out which products have the most sales and how they relate to one another, a priori algorithm method and the help of Rapidminer Tools are needed to produce associative rules. From the results of the discussion and analysis of the data it can be concluded that the application of a priori algorithm in determining the combination of itemset with a minimum support of 25% and a minimum of 60% confidence found 2 association rules, where the highest value of support and confidence is a radiator with a minimum stop lamp support of 26.92% while the minimum confidence is 64.65% and the oil filter with the minimum stop light support is 35.32% while the minimum confidence is 61.58%.
The Lexicogrammatical Performance by Female Legislative (DPRD) Members of West Sumatra in Communicating Via Social Media

This paper is one of the outputs of research on the Performance of Grammatically and Communication Politeness Politicians of Indonesian Women on Social Media.Political figures discussed specifically are only for women members of the legislature (DPRD).For this paper, it is limited to discuss only the performance of the lexicon (choice of words) and sentence structures used by DPRD members (district, city and province levels) throughout West Sumatra when communicating on social media (Facebook, Twitter or Instagram).This research is qualitative in nature.The data source is the social media accounts of women-only members of the West Sumatra legislature.The data was collected by print-screen from Facebook, Twitter and Instagram and converted into picture format (jpg).The print screen results are then copied into the prepared formats.Furthermore, the data were analyzed qualitatively with the content analysis method with semantic, syntactic and pragmatic theory.The results obtained show that the lexicon (diction) and structure (pattern) of sentences used vary.The choice of lexicons consists of lexicons derived from foreign languages and regional languages, in addition to Indonesian lexicons.What is interesting in the selection of this lexicon is the unusual use of words, abbreviations and acronyms.Furthermore, the sentence structure (pattern) used is minor and inversion sentence structure.
IoT-based smart wheelchair system for physically impaired person / Muhammad Afiq Mohd Aizam... [et al.]

Disabled persons usually require an assistant to help them in their daily routines especially for their mobility. The limitation of being physically impaired affects the quality of life in executing their daily routine especially the ones with a wheelchair. Pushing a wheelchair has its own side effects for the user especially the person with hands and arms impairments. This paper aims to develop a smart wheelchair system integrated with home automation. With the advent of the Internet of Things (IoT), a smart wheelchair can be operated using voice command through the Google assistant Software Development Kit (SDK). The smart wheelchair system and the home automation of this study were powered by Raspberry Pi 3 B+ and NodeMCU, respectively. Voice input commands were processed by the Google assistant Artificial Intelligence Yourself (AIY) to steer the movement of wheelchair. Users were able to speak to Google to discover any information from the website. For the safety of the user, a streaming camera was added on the wheelchair. An improvement to the wheelchair system that was added on the wheelchair is its combination with the home automation to help the impaired person to control their home appliances through Blynk application. Observations on three voice tones (low, medium and high) of voice command show that the minimum voice intensity for this smart wheelchair system is 68.2 dB. Besides, the user is also required to produce a clear voice command to increase the system accuracy.
Implementation of Apriori Algorithm for Determining Product Purchase Patterns

In this study, the implementation of Data Mining association method using Apriori algorithm to determine product purchase pattern. Data obtained from the sales transaction data in the Toko Jaya Putra Bumi Agung in the form of a purchase note that will then be implemented using Apriori algorithm. The data mining technique used is the association rule method to know the pattern between items one and other items using support and confidence. In this study of the calculation process with Apriori algorithm obtained minimum value of support 50% and minimum confidence value 70% then resulting tendency of products purchased by consumers ie if buying cooking oil then buy eggs with confidence 75%. If buying Sumendo coffee then buy sugar with confidence 77.8%. This research is expected to be helpful and useful for the owner of Toko Jaya Putra Bumi Agung to predict and analyze the combinations of what kinds of products are often purchased by consumers simultaneously. For further research need to be developed again by combining other data mining algorithms. Preferably the use of datasets that are used will be better to use larger datasets so that they can obtain higher accuracy values.
DESIGN OF HAZARDOUS WASTE STATION IN XYZ RADIOACTIVE INDUSTRY

A hazardous waste station must be designed following Regulation of the Minister of Environment and Forestry Number P.12 of 2020 concerning the Storage of Hazardous Waste so as not to cause environmental impacts. The purpose of this design is to improve the design criteria for the hazardous waste station in accordance with applicable regulations. The type and volume of hazardous waste storage have jerry can shape in 60 and 30-liter volumes, HDPE drum, and pallet. Each container is equipped with a symbol and label. Hazardous liquid waste and hazardous solid waste are designed with the dimensions of 10.66m x 8.2m and 8.65m x 8.2m. Each is equipped with coordinate, spill kit, fire extinguisher, pallet, shower &amp; eyewash, and container. The new design of hazardous waste selected has met the requirements in the regulation, safe from outside interference and environmental impacts.
Looking to the future (to the 60th anniversary of the Department for plastic processing technology)

The Department for plastics processing was established by order of the Ministry of education in 1960 at the Mendeleev Moscow Institute of chemical technology. In 2020, the Department of plastics processing technology of the Mendeleev Russian state technical University celebrates 60 years since its foundation. A brief overview of the history of the Department's formation is presented.
Intervention in deontic reasoning

The ‘if p, ought p’ problem, famously known as Zvolenszky’s puzzle (Zvolenszky 2002), questions whether possible world semantics can assign proper truth conditions to sentences of the form ‘if p, ought p’. This paper suggests that it is not a problem of possible worlds semantics of modality, but rather, the ‘if p, ought p’ problem reveals the counterfactual nature of deontic modals which otherwise would have gone unnoticed. I propose that a counterfactual-based formulation of deontic necessity that implements intervention, jointly with the assumption that indicative conditionals facilitate backtracking, offers a principled solution to the ‘if p, ought p’ problem. I also present empirical evidence in favor of an interventionist approach to counterfactuals as opposed to similarity-based theories, at least in the domain of deontic reasoning. BibTeX info
Repetition in McDonald's Slogan

McDonald’s is one of the fast food companies which used stylistic devices as the language strategy. The stylistic devices implemented on the analysis is repetition. The purposes of the analysis on repetition in the McDonald’s advertising slogan are (1) to identify the type of the repetition and (2) to identify the language unit used in the slogan. This research implemented qualitative method; the method is used to qualify the slogans that consist of repetition. There are 10 data of McDonald’s repetition slogans. The results discover three different types of repetition and two language units used in the repetition of the slogan. The research concludes that repetition is used as a particular strategy in McDonald’s slogan in order not only to attract customer’s attention or convey the message but also to bear in their mind about the image of McDonald’s.McDonald’s is one of the fast food companies which used stylistic devices as the language strategy. The stylistic devices implemented on the analysis is repetition. The purposes of the analysis on repetition in the McDonald’s advertising slogan are (1) to identify the type of the repetition and (2) to identify the language unit used in the slogan. This research implemented qualitative method; the method is used to qualify the slogans that consist of repetition. There are 10 data of McDonald’s repetition slogans. The results discover three different types of repetition and two language units used in the repetition of the slogan. The research concludes that repetition is used as a particular strategy in McDonald’s slogan in order not only to attract customer’s attention or convey the message but also to bear in their mind about the image of McDonald’s.
Realization of Criticism in Political Discourse and Its Impact on Advance Threats and Polite Language

The political constellation in the last few years has left a problem in the enforcement of democracy in the country.This is due to the fact that the discourse in the political space takes place in a tight and harsh competitive form that creates conflict in the community.Democratic parties such as Pilkada, Pileg, and Presidential Election not only function as a means of conveying the vision, mission, and programs to be carried out, but more than that as an arena for arguing, criticizing each other negatively, both among politicians and fellow supporters.Therefore, this study aims to reveal the realization of criticizing politicians in the discourse of political contestation and how it impacts on facial threats and language politeness.This study uses a qualitative-descriptive approach and content analysis methods and is based on the socio-pragmatic-semantic grand theory.The results showed that: (1) based on the style used, politicians were more dominant in using cynicism and sarcasm; (2) whereas based on the strategy of his derivation, politicians are more dominant in using straightforward methods without further ado.That is, criticism that is expressed by politicians tends to be realized as a negative evaluation in an explicit way or directly targeting the weaknesses and ugliness of the candidates by using sarcastic and cynical styles to mock, humiliate, even insult the intended person / party so that the threat of face is 'high' and resulting in 'less polite' speech.
USING SMALL GROUP DISCUSSION TO IMPROVE STUDENTS’ SPEAKING ACHIEVEMENT AT SMK SORE PANGKALPINANG

Abstract &#x0D; The title of this study is “Using Small Group Discussion to improve Students’ Speaking Achievement at SMK SORE Pangkalpinang.”.The problems of this study :“Is small group Discussion effectively used in improving students’ speaking achievement at SMK Sore Pangkalpinang?” The method of research used in this study was the experimental research. The type of experimental method used was quasi-experimental. The result of the test was analyzed by using SPSS Program. Based on the result of the data analysis, From the scores that were found, the result of statistical analysis between experimental and control group (t-obtained) should be higher than t-table (0.05) for two tailed. Furthermore the result of the students’ score in control and experimental group (value of t-obtained) was 7.541. Since the value of t-obtained was higher than t-table, so that the null hypothesis was rejected and alternative hypothesis was accepted. It can be stated that improving students’ speaking achievement using small group discussion method is more effective than conventional way to students’ at SMK SORE PANGKALPINANG.&#x0D; &#x0D; Keywords: improving, speaking, small group discussion
Scientific Approach to Improve the Critical Thinking Skills

The purpose of this research is to improve critical thinking skills on fourth grade elementary school students on thematic integrated through scientific approach.The implementation of this research conducted by class action research method which has three cycles.The subject of this research is the students of IV-A class in Laboratorium elementary school UPI Cibiru which has 22 students in class (10 girls and 12 boys).Data collection technique through an interview, observation, field report and documentation.Data analyzing is use interactive analysis.The procedure was colaborative classroom-based research.The result of research is shows critical thinking students on the first cycle 43,6% with the average score 39,24.Second cycle shows at least 60,97% with average score 54,88.And the third cycle achieve 81,48% with average score at 73,33.The conclusion is, critical thinking skills students had increased after carried out class action research.
한국 근대시인의 근대성 실천에 대한 연구

This paper aims to analyze the modernity practices of Korean modern poets during the Japanese Colonial Period. To this end, the concept of modernity is changed from the ideology understanding of ‘brain’ to the emotions and the experiences of 'mind' and ‘body'.Thus, this paper specifically analyzes the creative worlds of three modern Korean poets: Im Hwa(임화), Jeong Jiyong(정지용), and Baek Seok(백석). First, in Im Hwa's “My Brother and the Fire” modernity as a ideology is understood through ‘brain’, depicting the subaltern life and perspectives of the future. Second, Jeong Jiyong, in “Nostalgia” depicted modernity and expressed experiences and emotions through ‘body’ and ‘mind’ by using the language of imagery and refined poetry to visualize modernity. Third, Baek Seok, in his “The Palwon: Collection of Westbound Poems 3” explained personal experiences and emotions through modernity ‘body’ and ‘mind’.In conclusion, this paper reveals that during the Japanese Colonial Period, Korean poets practiced modernity in Korean modern literature with characteristics such as ‘cultural goods’, ‘pluralism’, and ‘literature as a racial movement’.
Analysis Of Android-Based Online Message Gateway Towards The Use Of Plastic Bags

Plastic bags is increasing with the development of technology, industry and population. Community dependence on plastic products is indeed very large. It is undeniable that there are many plastic based equipment that are sold at relatively cheap prices. Therefore socialization or education to reduce the use of plastic bags should be intensified. the researchers used an approach with the Android Based Online Message Gateway. The research design used was pre experimental design. With a population of 64, simple random sampling technique so that a sample of 56 respondents. Using the Wilcoxon statistical test with a significance level of 0.05. The results showed that the significance value of the attitude variable 0,000 &lt;0.05 and the significant value of the action variable 0,000 &lt;0.05. So, if Ho and H1 are rejected, then there is the influence of Android Based Online Message Gateway on Attitudes and Action in the Use of Plastic Bags.
Mutually disjoint, maximally commuting set of physical observables for optimum state determination

We consider the state determination problem using Mutually Unbiased Bases(MUBs).For spin-1, spin-3/2 and spin-2 systems, analogous to Pauli operators of spin-1/2 system, which are experimentally implementable and correspond to the optimum measurement in characterizing the density matrix, we describe a procedure to construct an orthonormal set of operators from MUBs.The constructed operators are maximally commuting, can be physically realized, and correspond to physical observables.The method of construction is general enough to allow for extensions to higher-dimensional spin systems and arbitrary density matrices in finite dimensions for which MUBs are known to exist.
Peningkatan Hasil Belajar Tematik Tugasku Sehari-Hari Di Rumah Menggunakan Metode Kooperatif Make A Match Dengan Media Benda Konkret

&lt;pre&gt;&lt;em&gt;&lt;span lang="EN-US"&gt;The purpose of this study was to improve student learning outcomes in thematic learning my daily assignments at home for Indonesian and math lesson content using the cooperative make a match method. This research is a classroom action research (PTK) which is conducted in three cycles, each cycle consisting of planning, implementation, and reflection stages. The subjects of this study were students of class II SDN Karangkandri 04 Cilacap in the 2020/2021 school year, totaling 29 students. Data collection techniques using tests. Data analysis includes data reduction, data presentation, and drawing conclusions. Research shows that the application of the make a match cooperative learning method can improve student learning outcomes in thematic learning my daily assignments at home for Indonesian and math lesson content in class II SDN Karangkandri 04 academic year 2020/2021 as evidenced by a percentage of 66% ( Indonesian) ; 59% (mathematics) completeness of learning outcomes in cycle I, 93% (Indonesian); 90% (mathematics) in cycle II and 100% (Indonesian &amp;amp; mathematics) in cycle III.&lt;/span&gt;&lt;/em&gt;&lt;/pre&gt;
Comparative analysis of ARX encryption schemes

ARX encryption algorithms are analyzed, that is, those that use only three operations: modular addition, XOR addition and cyclic shift. 16-bit reduced models of the most famous algorithms of this class are being developed. Among these algorithms are Salsa, Chacha, Cypress, Speckey, Simon, Chaskey. Some of them operate with 4-bit words, others with 8-bit words. By an exhaustive search for models of these algorithms some cryptographic parameters are determined. These parameters are the maximum probability of passing the difference (determines the resistance of the cipher to attacks of differential cryptanalysis); maximum probability of linear approximation (determines the resistance of the cipher to attacks of linear cryptanalysis); non-linear order (determines the resistance of the cipher to interpolation attacks, algebraic cryptanalysis). It is demonstrated that most models with an increase in the number of rounds come to the parameters of random permutations. It is determined that the Simon algorithm model does not possess this property. Several modifications of this algorithm are proposed. Comparing the number of necessary operations to achieve random substitution performance, the most successful ARX schemes were determined. The most efficient 4-bit scheme is the reduced Chaskey model, and the most effective 8-bit one is the modification of the Simon scheme which was proposed in this work. It is shown that, potentially, ARX schemes with a large format of operations are more flexible and efficient, since they require approximately half the number of operations to provide cryptographic parameters of random substitution.
Hybrid Optimization Driven RideNN for Software Reusability Estimation

Measuring the software reusability has become a prime concern in maintaining the quality of the software. Several techniques use software related metrics and measure the reusability factor of the software, but still face a lot of challenges. This work develops the software reusability estimation model for efficiently measuring the quality of the software components over time. Here, the Rider based Neural Network has been used along with the hybrid optimization algorithm for defining the reusability factor. Initially, nine software related metrics are extracted from the software. Then, a holoentropy based log function identifies the Measuring the software reusability has become a prime concern in maintaining the quality of the software. Several techniques use software related metrics and measure the reusability factor of the software, but still face a lot of challenges. This work develops the software reusability estimation model for efficiently measuring the quality of the software components over time. Here, the Rider based Neural Network has been used along with the hybrid optimization algorithm for defining the reusability factor. Initially, nine software related metrics are extracted from the software. Then, a holoentropy based log function identifies the normalized metric function and provides it to the proposed Cat Swarm Rider Optimization based Neural Network (C-RideNN) algorithm for the software reusability estimation. The proposed C-RideNN algorithm uses the existing Cat Swarm Optimization (CSO) along with the Rider Neural Network (RideNN) for the training purpose. Experimentation results of the proposed C-RideNN are evaluated based on metrics, such as Magnitude of Absolute Error (MAE), Mean Magnitude of the Relative Error (MMRE), and Standard Error of the Mean (SEM). The simulation results reveal that the proposed C-RideNN algorithm has improved performance with 0.0570 as MAE, 0.0145 as MMRE, and 0.6133 as SEM.