Reviewerly/exHarmony huggingface dataset:
Say my name! An empirical study on the pronounceability of identifier names

Identifiers represent approximately 2/3 of the elements in source code, and their names directly impact code comprehension. Indeed, intention-revealing names make code easier to understand, especially in code review sessions, where developers examine each other's code for mistakes. However, we argue that names should be understandable and pronounceable to enable developers to review and discuss code effectively. Therefore, we carried out an empirical study based on 40 open-source projects to explore the naming practices of developers concerning word complexity and pronounceability. We applied the Word Complexity Measure (WCM) to discover complex names; and analyzed the phonetic similarity among names and hard-to-pronounce English words. As a result, we observed that most of the analyzed names are somewhat composed of hard-to-pronounce words. The overall word complexity score of the projects also tends to be significant. Finally, the results show that the code location impacts the word complexity: names in small scopes tend to be simpler than names declared in large scopes.
JAX, THE ARCHITECTURE: Designing a Chatboat Architecture to Reduce Ajax Fancare’s Logistical Problem and Enhance Fan Experience

This paper is the documentation of a graduation internship at Digital Society School (DSS) in which they teamed up with Ajax Fancare to solve their logistical problem and enhance the fan experience. Ajax Fancare is facing a logistical problem in manually answering every fan’s question via calls, emails, social media, or live chat. They believe that chatbot is the solution to this problem. The goal of this project is to research, design, and prototype a chatbot that could tackle the logistical problem and enhance the fan experience. The deliverable is a chatbot prototype and architecture in which Ajax Fancare could build upon for their future customer service chatbot. The main question of the research is answered by the chatbot architecture: Jax the Architecture, a conversational tree of all the possible interactions between a user and the chatbot. The final chatbot architecture answers the research question by mapping together the main elements of the chatbot such as the information fans needed from Ajax Fancare and additional features that create a new and inclusive experience. The prototypes and final chatbot architecture are ready to be tested for further research and serve as a cornerstone for future development of the Ajax Fancare chatbot.
Minimum distance and idempotent generators of minimal cyclic codes of length ${p_1}^{\alpha_1}{p_2}^{\alpha_2}{p_3}^{\alpha_3}$

Let $ p_1, p_2, p_3, q $ be distinct primes and $ m={p_1}^{\alpha_1}{p_2}^{\alpha_2}{p_3}^{\alpha_3}$. In this paper, it is shown that the explicit expressions of primitive idempotents in the semi-simple ring $R_m = { F_q[x]}/{(x^m-1)}$ are the trace function of explicit expressions of primitive idempotents from $R_{p_i^{\alpha_i}}$. The minimal polynomials, generating polynomials and minimum distances of minimal cyclic codes of length $m$ over $F_q$ are also discussed. All the results obtained in \cite{ref[1]}, \cite{ref[4]}, \cite{ref[5]}, \cite{ref[6]}, \cite{ref[11]} and \cite{ref[14]} are simple corollaries to the results obtained in the paper.
A Compilation Based Approach to Finding Centroids and Minimum Covering States in Planning

In some scenarios, an agent may want to prepare for achieving one of several possible goals, by reaching some state which is close (according to some metric) to all possible goals. Recently, this task was formulated as finding centroids (which minimize the average distance to the goals) or minimum covering states (which minimize the maximum distance). In this paper, we present a compilation based approach for finding such states. Our compilation is very similar to the one used to find the worst case distinctiveness (wcd) in goal recognition design (GRD), and is orders of magnitude faster than the previous state-of-the-art, which was based on exhaustive search.
Impact of Financial Inclusion on Smes Growth: Channelizing New Approaches

Small and Medium Enterprises (SMEs) play a pivotal role in fostering economy by handling a considerable proportion in the commerce and creating job opportunities.However, potential of SMEs is untapped yet due to various factors.Among its constraints, unavailability of financial resources is a major barrier and access to finance augmented by financial inclusion (FI) is devised as relevant solution.Extant literature embodies a disunited proof on FI-SME growth nexus that clearly calls for certain new channels to be explored in this regard.Grounded upon endogenous growth perspective and resource-based view, this study endorses that growth is the outcome of internal resources and human capital is as important as financial or physical capital.An economy destitute of skills and education cannot efficiently utilize financial resources to generate economic activities.This conceptual paper reveals the relationship between financial inclusion, education and SMEs growth.Furthermore, this study adds value in existing literature by evaluating the necessary and relevant channels, videlicet, levels of education, skills, vocational training, innovation, and ease of business.Findings advocated that SMEs growth cannot be effective if lacking these trajectories.Spending on education, vocational and corporate trainings strengthen innovation that subsequently fosters SMEs development.This theoretical paper recommends suggestions for policy makers and it provides an agenda to researchers to enhance the knowledge by conducting empirical analysis on this topic.
Enhancing Narrative Writing Skills of Elementary School Teacher Education Students through Concentrated Language Encounter (CLE) Model Assisted by Short Film Learning Media

This research aims at improving the narrative essay writing skills of elementary school teacher education students through Concentrated Language Encounter (CLE) learning activities assisted by short film learning media by employing a quasi-experimental nonequivalent group design. The subjects were all primary teacher education students in West Java, with a sample of 31 elementary school teacher education students in Cimahi City as the experimental class, and 31 Madrasah Ibtidaiyah teacher education students in Bandung City as the control class. The results of the post-test research showed that the average skill of writing narrative essays in the experimental class was 81.10, while the control class obtained an average of 66.32. While the test results of the average N-gain difference in writing narrative essay skills with 2-tailed sig were 0.000 with a significance level of less than 0.05. These findings revealed that there was an increase in the writing narrative essay skills of elementary school teacher education students through the application CLE Model assisted by short film learning media. This research is expected to facilitate lecturers/teachers to teach narrative essay writing skills by optimizing all language skills through the CLE model assisted by short film media.
Penerapan Model Group Investigation Terhadap Hasil Belajar Ilmu Pengetahuan Sosial Siswa Kelas IV SDN 10 Ganting Padang

This research was motivated by the learning process carried out by the teacher who tended to use the lecture and question and answer method so that student learning outcomes were still low. This research aims to determine the effect of the application of the group investigation learning model on the social studies learning outcomes of the fourth-grade students of SDN 10 Ganting Padang. This type of research is experimental research. The sample in this study were students of class IV A and IV B with a total of 55 students. Data collection techniques in this study using tests. From the research results, it is known that the average social studies learning outcomes of the experimental class students were 82.57 and the control class was 76.74. The based on the results of the hypothesis analysis using the t-test, it is known that tcount&gt; table, with a count of 1.87 and at-table value of 1.67 at a significant significance level of 0.05, meaning that H1 is accepted. From these results, it can be concluded that there is an effect of the application of the group investigation model on the IPS learning outcomes of the fourth-grade students of SDN 10 Ganting Padang.
Content Based Image Retrieval Using Gray Level Co-Occurrence Matrix to Detect Pneumonia in X-Ray Thorax Image

Purpose:This study aims to detect the presence of pneumonia or not in thorax x-ray images using the Gray Level Co-Occurence Matrix (GLCM) method as well as find out the accuracy of the accuracy of pneumonia detection accuracy.Design/methodology/approach:The process of detecting pneumonia in thorax x-ray images can use Content Based Image Retriveal (CBIR). CBIR is an image search method by comparing the input image feature with the image feature in the database. Extraction features x-ray texture of thorax in pneumonia detection using Color Histogram, Discrete Cosine Transform and Gray Level Cooccurence Matrix (GLCM). From the day of extraction the feature will be carried out similarity measurements with database images using Euclidean Distance..Findings/result: The test results showed that the GLCM extraction feature with euclidean distance similarity measurements gained 95% accuracy on 100 training data and 20 test data, with the number of images displayed 6. Whereas when testing using data that has been trained produces 100% accuracy.Originality/value/state of the art:The difference between this study and previous research is in the pre-processing method section of imagery. This pre-processing process, x-ray image of thorax is carried out color histogram and discrete cosine transform process. Then continued the extraction of features using GLCM. The output of this system is the result of detection whether normal or pneumonia. Tujuan:Penelitian ini bertujuan untuk mendeteksi adanya Pneumonia atau tidak pada citra x-ray thorax menggunakan metode Gray Level Co-Occurence Matrix (GLCM) serta mengetahui akurasi tingkat akurasi deteksi pneumonia.Perancangan/metode/pendekatan:Proses deteksi penyakit Pneumonia pada citra x-ray thorax dapat menggunakan Content Based Image Retriveal (CBIR). CBIR adalah suatu metode pencarian citra dengan melakukan perbandingan antara fitur citra input dengan fitur citra yang ada didalam database. Ekstraksi fitur tekstur x-ray thorax dalam deteksi pneumonia menggunakan Color Histogram, Discrete Cosine Transform dan Gray Level Cooccurence Matrix (GLCM). Dari hari ekstraksi fitur tersebut akan dilakukan pengukuran kemiripan dengan citra database menggunakan jarak Euclidean Distance.Hasil:Hasil pengujian menunjukkan bahwa fitur ekstraksi GLCM dengan pengukuran kemiripan Euclidean Distance diperoleh akurasi sebesar 95% pada data latih 100 dan data uji 20, dengan jumlah citra yang ditampilkan 6. Sedangkan bila pengujian menggunakan data yang sudah dilatihkan menghasilkan akurasi 100%.State of the art:Perbedaan penelitian ini dengan penelitian sebelumnya adalah pada bagian metode pre processing citra. Proses pre processing ini, citra x-ray thorax di lakukan proses Color Histogram dan Discrete Cosine Transform. Kemudian dilanjutkan ekstraksi fitur menggunakan GLCM. Output dari sistem ini berupa hasil deteksi apakah normal atau pneumonia.
Improvement of Teacher Competence in Making Android-Based Evaluation Instruments at the AT Tohari Foundation, Semarang Regency

Coronavirus Disease 2019 or COVID-19 has infected millions of people in more than 210 countries in the world.COVID-19 caused many deaths.The COVID-19 pandemic affects almost all aspects of life, including education.Education and learning in many countries must be implemented online which greatly impacts the process of delivering materials and evaluating learning.Responding to these changes, teachers are required can to evaluate learning by adjusting the existing approach, namely the distance approach.This is done considering that evaluation has an important role to determine the success of students in mastering predetermined competencies.In connection with these needs, teachers are expected can develop based learning evaluations android by adjusting the development of Information Technology (IT).Therefore, it is necessary to have a competency improvement program and mentoring for teachers in making-based learning evaluation instruments android.The-based instrument android can be in the form of an application program, one of which is the Quiz Star Mobile Apps.Understanding the urgency and need, the schools assisted by the At Tohari Foundation in Semarang Regency have partners in improving teacher competence, including in making evaluation instruments.The partner is Semarang State University (UNNES) which provides assistance and training in making-based evaluation instruments android.This study seeks to explore more deeply related to the implementation of increasing teacher competence in makingbased evaluation instruments android at the At Tohari Foundation, Semarang Regency; and knowing the driving and inhibiting factors for the implementation of increasing teacher competence in making-based evaluation instruments android at the At Tohari Foundation, Semarang Regency.The approach used in this study is qualitative.The research location chosen was SMP Islam Plus At Tohari Semarang Regency.Sources of data used in this study include primary and secondary data sources.The techniques used in data collection are interviews, documentation, and observation.Data validity testing was carried out through informant reviews, member checks, and triangulation.Data were analyzed using interactive analysis techniques through the stages of data collection, data reduction, data display, and conclusions (verification).
A Meiji-kori japán nyelv forrásai

While the stenographic records of the Meiji era have been analyzed in thecontext of linguistic research into the unification of the spoken and writtenlanguage (gembun icchi 言文一致), vocabulary and grammar, there is somedebate as to the value of these records. This paper aims to clarify what kinds of difference occurred in the process of translating and typing the shorthand symbols into magazines andnewspapers. It has become clear that the stenographed speeches published in newspapers and magazines were not faithful reproductions of the original texts. Tomake it easier for the reader to understand, mistakes were rectified in the transcribing process, words and word forms were corrected by the stenographer and/or the editor. It seems that- as linguistic material - the value of a stenographic record ishigher than that of a shorthand book. However, very few shorthand manuscripts have so far been confirmed and in genre they are closer to stenographed speeches. We can assume that if a shorthand manuscript such as rakugo落語 or the Imperial Congressional Record were to be discovered, our understanding of the Meiji period Japanese language would be further enhanced.
An instrumental orchestration for online course at the university level

In this article, we present a proposal for instrumental orchestration that organizes the use of technological environments in online mathematics education, in the synchronous mode for the concepts of eigenvalue and eigenvector of a first linear algebra course with engineering students. We used the instrumental orchestration approach as a theoretical framework to plan and organize the artefacts involved in the environment (didactic configuration) and the ways in which they are implemented (exploitation modes). The activities were designed using interactive virtual didactic scenarios, in a dynamic geometry environment, guided exploration worksheets with video and audio recordings of the work of the students, individually or in pairs. The results obtained are presented and the orchestrations of a pedagogical sequence to introduce the concepts of eigenvalue and eigenvector are briefly discussed. This work allowed us to identify new instrumental orchestrations for online mathematics education.
PENGEMBANGAN E-BOOK BERBASIS ANDROID UNTUK MENINGKATKAN ANTUSIASME BELAJAR SISWA (Studi Pada Mata Pelajaran Fisika Kelas XI IPA SMA Kota Bengkulu)

Thepurpose of thisstudytoproduceane-bookapplicationbasedonandroidinphysics learning,totestthe effectivenessof e-booksdeveloped in increasingstudententhusiasm forlearning physics,and todescribe theeffectivenessofe-bookwhichwascomparedby learningresources.The subjectsofthisstudywereteachersandhighschoolstudents,in thelimitedscaletestthe subjectswereSMAN6,andinthebroadscaletestthesubjects were SMAN3,SMAN2and SMAN8.Theobjectofthisstudy isane-bookapplication basedonandroidfor physicssubjectsinXI ScienceClasswhichwasdevelopedbythe Sigil1.2.0application.Theresultsof thisstudyinthe e-bookfeasibilitytestobtainedan averagevalueof89fromteacherrespondentsand85fromstudentrespondentsmeant thatthedevelopede-bookwasworthyofbeingasourceoflearning, whileforthe enthusiasmquestionnaireobtainedanaverageof78.33fortheexperimentalclassand 71.33forthecontrolclassshows thattheuseofan e-bookapplicationbasedandroidasa learning resource canincreasestudententhusiasmforlearningphysics
Analisis Sentimen Tweet KRI Nanggala 402 di Twitter menggunakan Metode Naïve Bayes Classifier

Social media is one of the technological developments that has contributed greatly in making it easy for us to communicate and socialize, one of which is using Twitter social media. Twitter in this study is used as a data source to analyze tweets discussing KRI Nanggala 402. Analysis of KRI Nanggala 402 twitter sentiment is used to see the tendency of public responses to the sinking of the KRI Nanggala 402 submarine whether to give positive or negative opinions. This Sentiment analysis uses the Naïve Bayes Classifier method, which is a classification method. The first research stage is crawling, processing, classification, and evaluation. The classification stage is carried out after the processing phase, where the classification results tend to be positive or negative, using the Naïve Bayes Classifier method. The accuracy of the system in the Sentiment analysis of the KRI Nanggala 402 tweet is 73.00%.
A Hidden Markov Model for Morphology of Compound Roles in Persian Text Part of Tagging

Nowadays, data mining has become significant given the popularity of social networks as well as the emergence of abbreviated words, foreign terms and emoticons in the Persian language. Meanwhile, numerous studies have been conducted to identify the type of words. On the one hand, identifying the role of each word in a sentence is far more important than identifying the type of word in the sentence. On the other hand, the spelling-grammatical similarity of Persian to Arabic has enabled the newly proposed method in this paper to be applied to Arabic. In this paper, we adopted the Hidden Markov Model (MHM) and Tri-gram tagging with the aim of identifying the morphology of composition roles in Persian sentences. Then, a comparison was made between the technique developed in this paper and the Hidden Markov Model, Uni-gram and Bi-gram tagging. The proposed method supports the results obtained by the word role identification through "independent" and "dependent" roles and several factors that have a contribution to the words roles in sentences. In fact, the simulation results show that the average success rates of independent composition roles with MHM and Tri-gram tagging were 20.56% and 17.67% compared to Uni-gram and Bi-gram methods, respectively. Regarding the dependent composition role, there were improvements by 24.67% and 32.62%, respectively.
Algorithm for controlling the process of buffer wastewater neutralization

In Ukraine, the condition of surface water near industrial enterprises is extremely critical. The operation of enterprises leads to intensive water pollution with industrial and domestic wastewater. Therefore, improving the quality of treatment facilities through the introduction of automated control systems is an urgent problem.&#x0D; For the operation of automated control systems for typical cleaning processes, a software package is required, which is developed on the basis of appropriate algorithmic software and mathematical models of processes. To obtain them, methods of mathematical and simulation modeling and block diagram method of algorithmization were used.&#x0D; In order to assess the quality of the developed algorithm for controlling the process of buffer wastewater neutralization during operation, a comparison of control system operation based on this algorithm with the most successful foreign variants of neutralization control systems was made. Simulation for the average values of operating parameters Q = 75 m3 / h, CP = 75 g / l, and Ck = 2 g / l at minimum b = 0.02 g / l pH and maximum buffer value b = 0.47 g / l pH, and also with unidirectional extreme combination of parameters Q = 50 m3 / h, CP = 100 g / l, b = 0,02 g / l pH and Q = 100 m3 / h, CP= 50 g / l, for minimum b = 0.02 g / l pH and maximum buffering value b = 0.47 g / l pH shows that the best quality of transient processes is for the control system operating on the basis of the developed algorithm. For any combination of parameters, the transients for this control system provide better quality transients. Studies have shown that the control system based on the developed algorithm in comparison with the previously proposed systems provides better process control by reducing the time of transients and reducing the dynamic deviation of the output parameters, which improves the quality of wastewater treatment.&#x0D; Given the non-stationary process and high requirements for the cleaning parameters, manual control of this process is beyond the power of even an experienced operator. The developed mathematical model describing the dynamics of the wastewater neutralization reactor with buffer properties and the process control algorithm made it possible to proceed to the development of the control system software, which is necessary for the automated control of this process.
Towards Finding Active Number of S-Boxes in Block Ciphers using Mixed Integer Linear Programming

Secure lightweight block ciphers have become an important aspect due to the fact that they are a popular choice for providing security in ubiquitous devices. Two of the most important attacks on block ciphers are differential cryptanalysis [1] and linear cryptanalysis [2]. Calculating the number of active S-boxes is one of the method to examine the security of block ciphers against differential attack. In this paper, we count the minimum number of active S-boxes for several rounds of the lightweight ciphers namely KLEIN, LED and AES. We utilized the method proposed in [9], where calculation of the minimum number of active S-boxes is formulated as a Mixed Integer Linear Programming (MILP) problem. The objective function is to minimize the number of active S-boxes, subject to the constraints imposed by the differential propagation of the cipher. The experimental results are presented in this paper and found to be encouraging.