Reviewerly/exHarmony huggingface dataset:
Commercial automotive advertising: semiotic study

Automotive commercial advertising is an advertisement that is often aired on television. As one of the countries with the largest automotive vehicle consumers in Asia, many advertisements are issued by motor vehicle manufacturers so that the products they offer are purchased by the public. This paper will discuss how the existing advertisement structure displays signs that are effective and efficient so that with a short duration, an advertisement can provide a lot of information. The problems discussed in this paper are what the role of the icon, index, and symbol in the automotive advertisements that are broadcasted on television. The data source in this paper uses advertisements data from Yamaha and Honda motorcycles. The research method in this paper uses the Peirce semiotic method that discusses the icon, index, and symbol in the advertisement. The method used in presenting the results of the analysis is formal and informal methods.
Lysenko up close, but from afar, or lysenkoism from the xxist century

This paper reviews two books on Lysenkoism recently published outside of Russia. These two publications confirm the revival of interest in this phenomenon by the international scientific community. The first book, "The Lysenko Controversy as a Global Phenomenon", which comprises two volumes edited by William De Jong-Lambert and Nikolai L. Krementsov, integrates old and new approaches to studying and understanding Lysenkoism. The merits and demerits of the two-volume publication confirm the progress in the study of this subject. Loren Graham’s book, "Lysenko’s Ghost: Epigenetics and Russia", describes Trofim D. Lysenko's activities and their consequences for the development of science in Russia. Graham focuses on Lysenkoism under historical conditions and in the current Russian political context. In the reviewer’s opinion, the book has a debatable character and provides serious reasons to reflect on the fate of Russian science and the fate of the country.
GSTAR-X-SUR Model with Neural Network Approach on Residuals

One of the models that combine time and inter-location elements is Generalized Space Time Autoregressive (GSTAR) model. GSTAR model involving exogenous variables is GSTARX model. The exogenous variables which are used in GSTAR model can be both metrical and non-metrical data. Exogenous variable that can be applied into the forecasting of precipitation is non-metrical data which is in a form of precipitation intensity of a certain location. Currently, precipitation possesses patterns and characteristics difficult to identify, and thus can be interpreted as non-linear phenomenon. Non-linear model which is much developed now is neural network. Parameter estimation method employed is Seemingly Unrelated Regression (SUR) model approach, which can solve the correlation between residual models. This current research employed GSTARX-SUR modelling with neural network approach on residuals. The data used in this research were the records of 10-day precipitations in four regions in West Java, namely Cisondari, Lembang, Cianjur, and Gunung Mas, from 2005 to 2015. The GSTARX-SUR NN modelling resulted in precipitation deviation average of the forecast and the actual data at 4.1385 mm. This means that this model can be used as an alternative in forecasting precipitation.
Impact of Urban Infrastructure Development on Power Loss of Solar Photovoltaic Modules

Solar photovoltaics pose as a major technology in shifting reliance from non-renewable to renewable energy resources.Soiling is a key issue which is further escalated by dust blowing as a result of road infrastructure development in urban environments.The Peshawar Bus Rapid Transit Corridor (BRT) project provided a chance to carry out this study aimed at corelating scale of infrastructure development with heightened PV losses and formulating ways to cope with the problem.A site offering an urban topography located at a distance of 1.2 km away from the BRT route was identified.The soiling station at this site was operated for one month and the data was processed to identify the prevailing soiling loss trends.The soiling station recorded losses in excess of 20% within the first 2 weeks of operation.It was found that clouds and strong winds had no significant role in retarding the losses.However, frequent rainwater cleaning at one instant reversed the losses back to 0%.It was thus established that cleaning the modules with water on a two week basis during large scale road development works in and around urban areas could keep the losses within a bearable limit.
METHODOLOGICAL ASPECTS OF THE USING THE GENRE OF IMPROVISATION AS A MEANS OF THE MANIFESTATION OF PERSONALITY CHARACTERISTICS IN A THEATRE OF COMEDY

Purpose of Research. The purpose of the article is to analyse the using the genre of improvisation as a manifestation of personality characteristics in a theatre of comedy in the context of culture, language and customs. Methodology. The methodology of the research includes the art history and culturological approaches. The author applies the system-structural, analytical and comparative methods. They allow studying the particularities of various types of theatrical characters, which use both ordinary language and the language of physical gestures that are typical for English culture. The combination of the accessible language and visual conceptual immediacy makes it suitable for intercultural communication at different levels. Scientific Novelty. The scientific novelty of the article is the fact that this issues is the first, which are implemented in the course for future actors and students, who are studying a foreign language and culture. It has been implemented at Kyiv National University of Culture and Arts. The results of several months of an intensive theatre course are important for future projects and can be extrapolated to higher educational institutions in Ukraine. Conclusions. Thus, it has been found out that the theatrical workshops, based on the production of authentic, comedic texts, can provide rich and meaningful skills of foreign languages. Theatre courses can be used to learn a foreign language with understanding and interpretation of foreign literature and culture. In addition, the production process of the theatre encourages students to show their talents, challenge their abilities and achieve their goals in speaking any foreign language.
Application of spiking neural networks for modelling the process of high-temperature hydrogen production in systems with gas-cooled reactors *

Hydrogen energy is able to solve the problem of the dependence of modern industries on fossil fuels and significantly reduce the amount of harmful emissions. One of the ways to produce hydrogen is high-temperature water-steam electrolysis. Increasing the temperature of the steam involved in electrolysis makes the process more efficient. The key problem is the use of a reliable heat energy source capable of reaching high temperatures. High-temperature gas-cooled reactors with a gaseous coolant and a graphite moderator provide a solution to the problem of heating the electrolyte. Part of the heat energy is used for producing electrical energy required for electrolysis. Modern electrolyzers built as arrays of tubular or planar electrolytic cells with a nuclear energy source make it possible to produce hydrogen by decomposing water molecules, and the working temperature control leads to a decrease in the Nernst potential. The operation of such facilities is complicated by the need to determine the optimal parameters of the electrolysis cell, the steam flow rate, and the operating current density. To reduce the costs associated with the process optimization, it is proposed to use a low-temperature electrolysis system controlled by a spiking neural network. The results confirm the effectiveness of intelligent technologies that implement adaptive control of hybrid modeling processes in order to organize the most feasible hydrogen production in a specific process, the parameters of which can be modified depending on the specific use of the reactor thermal energy. In addition, the results of the study confirm the feasibility of using a combined functional structure made on the basis of spiking neurons to correct the parameters of the developed electrolytic system. The proposed simulation strategy can significantly reduce the consumption of computational resources in comparison with models based only on neural network prediction methods.
LOSC

Big data applications increasingly rely on the analysis of large graphs. In recent years, a number of out-of-core graph processing systems have been proposed to process graphs with billions of edges on just one commodity computer, by efficiently using the secondary storage (e.g., hard disk, SSD). On the other hand, the vertex-centric computing model is extensively used in graph processing thanks to its good applicability and expressiveness. Unfortunately, when implementing vertex-centric model for out-of-core graph processing, the large number of random memory accesses required to construct subgraphs lead to a serious performance bottleneck that substantially weakens cache access locality and thus leads to very long waiting time experienced by users for the computing results. In this paper, we propose an efficient out-of-core graph processing system, LOSC, to substantially reduce the overhead of subgraph construction without sacrificing the underlying vertex-centric computing model. LOSC proposes a locality-optimized subgraph construction scheme that significantly improves the in-memory data access locality of the subgraph construction phase. Furthermore, LOSC adopts a compact edge storage format and a lightweight replication of vertices to reduce I/O traffic and improve computation efficiency. Extensive evaluation results show that LOSC is respectively 6.9x and 3.5x faster than GraphChi and GridGraph, two state-of-the-art out-of-core systems.
Posterior Predictive of Bayesian Vector Autoregressive (BVAR) and Adjusting Transformation on the Spatio Temporal Disaggregation Method: Predict Hourly rainfall data at the outsampled Locations

This research is a development from previous research that has studied the method of spatio temporal disaggregation with State space and adjusting procedures for predicting hourly rainfall based on daily rainfall (Astutik et al, 2013). However, this study is limited to predicting hourly rainfall in some sampled locations in the future. Astutik et al (2017, 2018) have modeled hourly and daily rainfall using posterior predictive bayesian VAR at the Sampean watershed of Bondowoso. This study aims to predict hourly rainfall data based on daily rainfall data in the future at the outsampled locations using posterior predictive bayesian VAR and adjusting procedures in the method of spatio temporal disaggregation.
Internet Usage and Self-Regulated Learning Assessment at Junior High School Students in Tasikmalaya City, Indonesia

Internet use for junior high schools in Tasikmalaya city, dominated for game play and social media. This research describes the pattern of relationship between internet usages on students, on the assessment of aspects of self-regulated learning. The aspect of self-regulated learning measured from 10 aspects. This study discusses the effects of gender, the categories of schools (excellent schools and regular school), the total value of self-regulated learning and the value of math exams. In brief, the research stages consist of three stages. The first stage of research is to create and retrieve the questionnaire data. The goal is to obtain all things related to internet usage, as well as measure aspects of self-regulated learning assessment. The second stage of treatment on students. This treatment time is done for four months, where students follow the math lesson with self-regulated learning method. Students provided with multimedia devices, textbooks and other. The third stage is the assessment or math test. The analytical method used is qualitative method with descriptive statistical approach. The results obtained that the dominant male students using internet for games tend to have greater Aspects of Finding and Utilizing Relevant Learning Resources. While female, tend to be dominant in aspects of Evaluating Learning Processes and Results. The average mathematical exam results, in students who often use the game tend to have a higher value, compared with other students who often use social media
PENGARUH RASIO RECYCLE TERHADAP PRODUKSI BIOGAS MENGGUNAKAN REAKTOR TANGKI BERPENGADUK BERBANTUKAN MEMBRAN ULTRAFILTRASI PADA KONDISI TRANSISI (45 oC)

&#x0D; Anaerobic digestion is one of solution to environmental problems and energy sources for current energy needs. In anaerobic digestion, organic material is degraded by bacteria, which is carried out without oxygen, and converts it to a mixture of methane and carbon dioxide. POME can be degraded anaerobically in anaerobic digester to produce biogas. This study aims to increase the conversion of biogas produced using a 2 liter Continuous Stirred Tank Reactor (CSTR) type digester in the methanogenesis process by recycling the effluent produced through the ultrafiltration membrane in a transition condition (45oC). The process is carried out by varying the recycle ratio, which is 0%, 15% and 25% on HRT 6 days with a condition of pH 7 ± 0.2. The highest average biogas production was achieved at the 25% recycle ratio of 33.15 x 10-5 L / mg VS. day, with the composition of methane, carbon dioxide and hydrogen sulfide each of 79%; 19%; and 0.006%, with degradation of VS and COD of 39.58% and 66.33% respectively. For the composition of the highest CH4 content obtained at a variation of the 15% recycle ratio which is equal to 85% while for the composition of carbon dioxide, and hydrogen sulfide each is 14%; and 0.0076%.&#x0D;
PENINGKATAN HASIL BELAJAR MATA PELAJARAN PENDIDIKAN KEWARGANEGARAAN MENGGUNAKAN STRATEGI PEMBELAJARAN PENINGKATAN KEMAMPUAN BERFIKIR (SPPKB) PADA SISWA KELAS VII C SMP NEGERI 1 KETAPANG

The purpose of the study is to know the ways and processes in improving student learning outcomes using learning strategies to improve thinking skills (SPPKB) in class VII SMP Negeri 1 Ketapang.Improvement of learning outcomes after application of learning strategies to improve thinking skills in the subjects of civic education, student learning outcomes of grade VII SMP Negeri 1 Ketapang after the Civics teachers apply learning strategies to improve thinking skills (SPPKB).The subjects of the study were 35 students and 1 Civics teacher.The research procedure uses a cycle consisting of planning, execution, observation, and reflection.Data collection techniques used are direct observation, measurement techniques and documentary studies.The results showed that in general the application of learning strategies to improve thinking skills in class VII done dengna good.Specifically: that the planning is done first by the teacher of Civics and referring to the curriculum K13, the implementation of learning strategies to improve thinking skills are done in 2 cycles and the implementation runs well and smoothly, the results of student learning in class VII before using learning strategies to improve thinking skills reached 25.71% with an average score of 63, after applied learning strategy improvement thinking ability at (cycle 1) 62,86% with average value 73, continued at (cycle II) learning result have increase that is 82,86% with an average value of 80.
Learning Media for Biology Subject Based on Multimedia in Junior High School Level

Information is a necessity in this era, so it encourages the advancement of information technology flourish and rapidly, in addition it provides some varieties of ways to catch the users obtaining information and technology.One of the conveniences of that fashion is that students at junior high school can easily access dealing with Biology learning material.Information and technology in the form of multimedia-based software packaged as a media of learning some particulars subjects, in this case they apply to Biology learning.Instructional media provide an overview and understanding to the junior high school students in studying Biology visually, dynamic and interactive.Learning in a visual medium provides visualization interest in studying biology, so students can understand the material SMP comprehensively.An interactive learning media gives the impression that the learning is carried out by two-sided directions, yet the students are invited to participate as creators in studying Biology.Multimedia-based learning media packed into software which capable in presenting the material, in this case is Biology.The material is presented visually and moves dynamically in order to motivate the students in understanding the Biology.The software in multimedia-based learning is purposed to create an autonomous learning system for students.Instructional media built in desktop and run as a single-independent application; therefore, students can run this application even though the internet connection is not available.This instructional media development using object-based method with the waterfall model.This learning media applications built with Adobe Flash Professional CS6 with action script 2.0 for achieving visualization, dynamic, and interactive multimedia-based learning method.
Ontological Basis of the Education Phenomenon as a Preformer of Its Social and Existential Realities

This study is aimed at explication the structure of ontological basis of the education phenomenon from the standpoint of the truth of its being and reality.The methodology of the study is based on separation of existence and being concepts in the education phenomenon and identification of predetermining relationships between them.The methodology and results of the work are the author's own contribution.As a result of the study, the ontological basis of the education phenomenon is presented as a set of the following components: (1) ontological principleseducational universals and paradigmatic relations; (2) ontological essence.Their relationship with the truth of being of the education phenomenon is shown.The role of the ontological essence in the formation of social and existential realities of education is revealed.The content of structural, procedural, psychic and distributive universals is defined as a pre-image of the general in teaching and learning diversity.Forms, ways, functions and generalization of the being of the education phenomenon, which determine the particular in its reality, are taken as paradigmatic relationships.In connection with preformativity of the education phenomenon, a non-Kuhnian definition of the paradigm is developed, and the role of paradigms of education advancement is identified.Examples are given showing the significance of components of the ontological basis in the formation of the education reality.The conclusion is drawn that the ontological basis predetermines the presence of the social and existential necessary in education reality, and its deficit makes problematic the ability of education to be itself.
Generating Requirement Dependency Graph Based on Class Dependency

Requirements association depicts inter-relation between two or more requirements within a software project. It provides necessary information for developers during decision-making processes, such as change management, development milestones, bug prediction, cost estimation, and work breakdown structure generation. Modeling association between requirements became a focus of software requirements researchers. Previous studies indicate that requirements association was pre-defined by requirements engineer based on their expert judgments. The judgments require knowledge on requirements and their class realizations. This paper introduces a method to generate a mapping between a set of requirement statements and a set of classes of a given project that realized the respected requirements. The method also generates associations among requirements based on information on associations between classes and the class-requirement mapping. The method utilizes element of relational information resided in a class diagram of respected project. A semantic similarity method was used to define the requirements with their realization classes. A class is considered realizing a requirement if and only if their semantic similarity is higher than a certain threshold. A set of experimentation on four different projects was conducted. The result of the approach was compared with the output produced by human annotators using kappa statistics. The approach is considered as having a fair agreement level (i.e. with kappa value 0.37) with the human annotators to identify and model requirement associations.
A Corpus-based Linguistic Analysis of Latin Frequentative Verbs

Considering that Latin frequentative verbs have transparent morphological structure (the supine stem of the base verb concatenated with the frequentative -itare suffix and regular first conjugation inflectional endings), one would assume that the meaning of each such verb is related in a predictable way to that of its corresponding base verb, and that all members of the frequentative class share semantic entailments. However, frequentative verbs resist a uniform semantic analysis and can mean something entirely unpredictable from the sum of their parts, and traditional and contemporary definitions of frequentatives ignore the degree of idiomaticity between frequentative form and function and are based on limited corpus data. This paper provides a synchronic, corpus-based linguistic analysis of frequentative verbs in comparison to their base forms from both derivational (source-oriented) and usage-based (product-oriented) perspectives in order to explore the nature of the Latin frequentative. The paper concludes that a usage-based, product-oriented treatment of the data provides a more straightforward characterization of Latin frequentative verbs, highlighting the interconnectedness of morphology, syntax, and semantics.
HELPING STUDENTS WRITE NARRATIVE TEXTS USING SMS (STORY MODIFICATION STRATEGY)

One of the problems faced by students in writing a narrative text (story) is that they have no ideas to develop into a full story. They usually spend so much time to think of what to write about that they finally run out of time to complete the task. Meanwhile, there is a fact that stories in movies are sometimes derived from fairy tales the setting of time and place of which have been made different. This has given me inspiration that students do not have to make a completely new story in order to write a narrative text. As students are familiar with tales, legends, or fables, what they need is only to make some modifications to the existing stories they already know. In other words, in order to be able to write a new story they actually only need to “cook” the “ingredients” they have in mind. Thus, there is no more reason for them not to write a story because of having no ideas to write. This paper will give a model of helping students using the strategy called SMS or Story Modification Strategy.