Reviewerly/exHarmony huggingface dataset:
EDUCATION GAME MATH MENGGUNAKAN ALGORITMA FUZZY SUGENO

The quality of education is very important for success in learning, by using various methods or tools to make it easier for students to understand discrete mathematics material, based on the 23% graduation rate of students who do not complete discrete mathematics at XYZ University, it is necessary to innovate learning applications, use The game education application provides convenience in developing learning media, namely the Digital Math Game, an Android-based mobile application that makes it easy for students to learn discrete mathematics. This application is equipped with several features, namely games to hone the extent to which students' ability to do discrete math exercises randomly, with the reward in the game, the questions are designed to be more difficult and graded, Fuzzy Sugeno algorithm calculates logic to determine rewards based on time variables and problem solving. This application has an AR (Augmented Reality) feature to provide 3D views and videos on discrete mathematics textbooks, 30 algorithm testing with 100% accuracy.
An Algorithm-Adaptive Source Code Converter to Automate the Translation from Python to Java

In the fields of computer science, there exist hundreds of different programming languages. They often have different usage and strength but also have a huge number of overlapping abilities [1]. Especially the kind of general-purpose coding language that is widely used by people, for example Java, Python and C++ [2]. However, there is a lack of comprehensive methods for the conversion for codes from one language to another [3], making the task of converting a program in between multiple coding languages hard and inconvenient. This paper thoroughly explained how my team designs a tool that converts Python source code into Java which has the exact same function and features. We applied this converter, or transpiler, to many Python codes, and successfully turned them into Java codes. Two qualitative experiments were conducted to test the effectiveness of the converter. 1. Converting Python solutions of 5 United States Computer Science Olympic (USACO) problems into Java solutions and conducting a qualitative evaluation of the correctness of the produced solution; 2. converting codes of various lengths from 10 different users to test the adaptability of this converter with randomized input. The results show that this converter is capable of an error rate less than 10% out of the entire code, and the translated code can perform the exact same function as the original code.
Generating Synthesized Computed Tomography (CT) from Magnetic Resonance Imaging Using Cycle-Consistent Generative Adversarial Network for Brain Tumor Radiation Therapy

Brain tumor is the most common malignant tumor of the head and neck in China, postoperative radiotherapy is one of the main methods to improve the survival rate of patients. Magnetic resonance imaging (MRI) has the advantage of its soft tissue contrast, for the sake of getting the tumor boundary accurately, it is necessary to combine CT/MR image fusing in gross tumor volume (GTV) delineation. In order to avoid the uncertainty caused by multimodal images registration and reduce unnecessary radiation dose, replacing CT with MRI has become one of the research hotspots in the field of radiotherapy. The aim of this study was to use unregistered MRI and CT images from brain tumor patients to generate pseudo-CT images based on a cycle-consistent generative adversarial network (CycleGAN) framework.T1, T2-weighted MRI and CT-simulation images of the whole brain were collected from 31 brain tumor patients. In this work, we have used a CycleGAN framework to generate pseudo-CT images from MRI, this model is capable of image-to-image translation using unpaired MRI and CT images in an unsupervised learning method. Due to the influence of head frame in CT-simulation images and the different scanning range, imaging resolution and contrast of each patient, preprocessing of MRI and CT images, such as clipping, background removal, resampling and normalization, was required firstly. Secondly, in order to compensate for the insufficient to separate all major tissue types by the single MR sequence, each patient's T1/T2-weighted MR image pair was served as the input of the CycleGAN framework after registering and fusing. Finally, a simple cross-validation study, randomly selecting 70% samples as the training set and the remaining images as the testing set, was performed to compare the quality of synthetic CT and real CT image.The CycleGAN method produced the overall average MAE below 0.24 ± 0.02 and the 0.79 ± 0.03 SSIM value for the testing set images, the heterogeneity between the synthetic CT image and the actual CT image was acceptable.We successfully realized the image-to-image translation using unregistered MRI and CT images based on the CycleGAN framework. The evaluation of pseudo-CT image showed the feasibility and accuracy of this method, which can effectively reduce the error caused by multi-mode image registration in gross tumor volume (GTV) delineation for brain tumor patients.
The Effect of Using PQ4R Strategy on The Ability of The Second Year Students of Mts Darul Hikmah Pekanbaru in Comprehending Recount Texts

Abstract&#x0D; This research aimed to find out if there is a significant effect of using PQ4R strategy on the ability of the second year students of MTs Darul Hikmah Pekanbaru in comprehending recount texts. This is a pre-experimental research with one group pretest and posttest design. This research used quantitative data and the instrument used to collect the data was a reading test in multiple choice forms. As the result, the mean score of pre-test is 59.03 and post-test is 62.97. In the other words, the mean score of post-test is higher than the mean score of pre-test. The result also showed that the value of t-test (8.907) is higher than t-table (3.365) at the significance level 0.1%. It means that Alternative Hypothesis (Ha) is accepted. It can be concluded that there is a significant effect of using PQ4R strategy on the ability of the second year students of MTs Darul Hikmah Pekanbaru in comprehending recount texts. It is suggested that in understanding recount text is one of alternatives, the teacher needs to focus on the students’ understanding of the sentences on the texts.&#x0D; Abstrak&#x0D; Penelitian ini bertujuan untuk mengetahui apakah ada pengaruh signifikan penggunakan strategi PQ4R pada kemampuan siswa tahun kedua MTs Darul Hikmah Pekanbaru dalam memahami teks recount. Penelitian ini adalah penelitian pra-eksperimental dengan desain satu kelompok pretest dan posttest. Penelitian ini menggunakan data kuantitatif dan instrumen yang digunakan untuk mengumpulkan data adalah tes membaca dalam bentuk pilihan ganda. Hasilnya, nilai rata-rata pre-test adalah 59,03 dan post-test adalah 62,97. Dengan kata lain, skor rata-rata post-test lebih tinggi daripada skor rata-rata pre-test. Hasil penelitian juga menunjukkan bahwa nilai t-test (8,907) lebih tinggi dari t-tabel (3,365) pada tingkat signifikansi 0,1%. Ini berarti bahwa Hipotesis Alternatif (Ha) diterima. Dapat disimpulkan bahwa ada pengaruh yang signifikan menggunakan strategi PQ4R pada kemampuan siswa tahun kedua MTs Darul Hikmah Pekanbaru dalam memahami teks recount. Disarankan bahwa dalam memahami teks recount, salah satu alternatif adalah guru perlu fokus pada pemahaman siswa tentang kalimat pada teks.&#x0D;
Development of humanities education in the context of interdisciplinary approach and informatization

The phenomenon of globalization is directly connected to the emergence of the global Network. National and political diversity in cyberspace fades into the background. Authenticity, self-identification of a person becomes secondary. The society determines the immersion of the individual in the virtual space and its functioning in this space. The transformation and development of humanities education is determined by the processes of informatization. The development of humanities education involves the implementation of the principle of openness of humanities education to social practices and the principle of its accessibility without age and geographical location. The introduction of info-telecommunications accelerates the creation of a single information space, provides access to the information resources. The development of humanities education is aimed at implementing an interdisciplinary approach that ensures the effectiveness of the development and application of humanitarian knowledge and form a conscious responsible choice in a variety of cultural meanings, cultural self-determination. It ensures the rigor and accuracy of the methodological and technical side of humanities education.
SENTIMENT ANALYSIS AND TOPIC MODELLING ON TWITTER FOR CLEAN INDIA MISSION

Twitter is an important source of information but it is challenging to analyze this data in order to recover meaningful inference.The present paper uses topic modelling and sentiment analysis to draw useful context from Twitter data set related to 'Clean India Mission'.Latent Dirichlet Allocation is used in the research to identify twenty most trending topics and top seven terms related to each of the twenty topics.Coherence and prevalence values represent model efficiency.Topic clustering is also used in the research to identify how strongly topics are related to each other.Five different clusters are created from the top trending topics reflecting different aspects in the corpus.The average silhouette width is employed to determine the optimal number of clusters.Lexicon based classification using 'nrc' sentiment directory is also used to reflect people's sentiment at ten different sentiment levels for the mission.Twitter data for the research is collected from seven different Hashtags, including the official page of the clean India campaign.The most relevant subject segments are identified after evaluating the trending topics by utilizing topic coherence value.
Quest for entrepreneurial opportunity from the analytics education (course) perspective

This study aims at describing the benefits of studying "data analytics" in understanding the objectives of training students to become entrepreneurs.It signifies that learning analytics has become one part of the special interest domain that encourages the finding of entrepreneurial opportunities.This study exemplifies the perceptions of business students on how the implementation of big data analytics would matter.The data were collected through questionnaires.The finding revealed some important variables based on overall students' perception, gender, and type of business of interest to assist in identifying the entrepreneurial opportunity process.The indicators were distributed normally using normal distribution.As shown by the results, all variables that were involved in this research can be considered for everyone who are interested in building independent businesses in the era of digital transformation.
The Effectiveness of Edmodo as Online Learning Platform for High School Students

Technology is used almost in all fields, including education. Applying technology in education can be done through a model called online learning. However, not all institutions have applied online learning for their students. Tenuous relationship between students and teachers, lack of face-to-face meeting, and undisciplined students are problems faced in conventional method. This research aims to conduct an online learning using Edmodo for 71 students at grade X in two classes in Yos Sudarso High School. This research utilized quantitative and qualitative experimental method. Observation and questionnaires were data collection techniques used for this research. The result proved that Edmodo is really best to be applied for online learning because it is easy to use. It also gained students’ satisfaction during the implementation. However, some problems were also encountered such as students’ lack responsibilities in learning, missed notification, and more assignments. This research also provides suggestions for further related research.
Sentence Simplification for Russian using Transfer Learning

In this article, we describe a way to perform sentence simplication.Our approach is largely based on solving this problem for the English language.We compare the different pretraining schemes in the application for this problem and show that the results obtained using machine translation of tests and fine tuning are approximately similar.mBART with control tokens is used as the main model for fine tuning.In the case of machine translation of tests into English, we use BART with control tokens.
An Anonymous Trace-and-Revoke Broadcast Encryption Scheme

Broadcast Encryption is a fundamental cryptographic primitive, that gives the ability to send a secure message to any chosen target set among registered users. In this work, we investigate broadcast encryption with anonymous revocation, in which ciphertexts do not reveal any information on which users have been revoked. We provide a scheme whose ciphertext size grows linearly with the number of revoked users. Moreover, our system also achieves traceability in the black-box confirmation model.Technically, our contribution is threefold. First, we develop a generic transformation of linear functional encryption toward trace-and-revoke systems. It is inspired from the transformation by Agrawal et al. (CCS’17) with the novelty of achieving anonymity. Our second contribution is to instantiate the underlying linear functional encryptions from standard assumptions. We propose a \(\mathsf {DDH}\)-based construction which does no longer require discrete logarithm evaluation during the decryption and thus significantly improves the performance compared to the \(\mathsf {DDH}\)-based construction of Agrawal et al.. In the LWE-based setting, we tried to instantiate our construction by relying on the scheme from Wang et al. (PKC’19) but finally found an attack to this scheme. Our third contribution is to extend the 1-bit encryption from the generic transformation to n-bit encryption. By introducing matrix multiplication functional encryption, which essentially performs a fixed number of parallel calls on functional encryptions with the same randomness, we can prove the security of the final scheme with a tight reduction that does not depend on n, in contrast to employing the hybrid argument.
Konektor Masker Hijab

The partner of this community partnership program is the Islamic Knowledge Group of the Babussalam Mosque, Tirta Mas Complex, Makassar. The problems is: (1) The activities carried out by the Babussalam Taqlim Assembly group are recitation, Maulid, Isra' Mi'raj, and social gatherings, (2) There are no training activities that are easy and can directly have a selling value in Islamic Knowledge Group of the Babussalam Mosque, and (3) Lack of knowledge and insight in being creative to produce hijab mask connectors. The goal is the ability to make hijab connectors independently with various forms of variation. The methods used are lectures, demonstrations, discussions, questions and answers, and companion partners. The results achieved are (1) partners know about making hijab mask connectors, (2) partners have skills in designing hijab mask connectors with various variations, (3) Increase partner productivity during a pandemic to make hijab mask connectors
Reading Preferences across Genders of Undergraduate EFL Students in Indonesia

Due to pandemics, students carry out their studies from home. They have more leisure time and are freer to do activities. In such a condition, questioning students’ commitment to reading to learn becomes relevant. The question is whether and to what extent the students do the reading activity, what they read, and whether their preferences are different based on their genders. This topic is inconclusively studied, especially in the context of EFL. Therefore, it seems important to conduct a study on this topic because the results might raise the effectiveness of teaching EFL. This study is a descriptive survey revealing students’ reading preferences to spend their leisure time based on gender differences. The subjects are undergraduate EFL students aged 19–23 years who study at the English Department in Indonesia. The data were collected by a questionnaire consisting of closed and open items. The responses were tallied, calculated, and tabulated. The findings show that female respondents favored reading more than males. Both genders tend to prefer reading social media to spend their leisure time. Female respondents are more likely to read e-books, while male respondents are more into the printed books. They do extensive reading to get knowledge more than to get pleasure. Although they are EFL learners, they prefer reading the sources in their native language because it is more accessible than in the target language. The reasons underlying those findings and pedagogical implications are also described at the end of the article.
What You Say Is Not What You Do: Studying Visio-Linguistic Models for TV Series Summarization

In this paper, we generate TV series summaries using both visual cues present in video frames and screenplay (dialogue and scenic textual descriptions). Recently, approaches relying on pre-trained vision and language representations have proven to be successful for several downstream tasks using paired text and images. For TV series summarization, we hypothesize that both scenic information and dialogues are useful to generate summaries. Visio-linguistic models being presented as task-agnostic, we explore if and how they can be used for TV series summarization by conducting experiments with varying text inputs and models fine-tuned on different datasets. We observe that such generic models, despite not being specifically designed for narrative understanding, achieve results closed to the state of the art. Our results suggest also that non aligned data also benefit from this type of visio-linguistics architecture.
Prediksi Tingkat Kepuasan Pelayanan Online Menggunakan Metode Algoritma C.45

Online service is a service that uses the help of the internet. This service can solve various types of business without having to meet directly with employees. This can be done quickly and on time. Especially when we are currently experiencing the Covid-19 pandemic, all existing services are carried out online and this is increasingly being done by many parties, because they can maximize in helping people's affairs online. This service makes it easier for the public to register which will be done online during this pandemic. The data that will be processed in this online service from 2019 to 2020 is about data about people who do not understand online services, negative community responses, positive community expectations. The method used in this study is the method with the C4.5 algorithm where this is one of the algorithms that will be used to determine a classification or group of data and will be predictive. The advantage of this algorithm is that it can produce a decision tree which will make it easier to implement and will have an acceptable level of accuracy. The results of this study are able to predict a value or determine the level of community satisfaction in 2021 appropriately. Therefore, this study can be used as a reference to determine the level of satisfaction at the Padang City Population and Civil Registration Office. The method used in this study is the prediction method using the C4.5 algorithm by using as many as 14 attributes. The data used in this study is sourced from data from online questionnaires and stored in the Disdukcapil database which has as many as 50 community data which have been presented in a CSV file. The analysis in this study uses the help of tools in the form of rapid miner software version 5.3,000. The results of this study are that there are 3 rules from the data processing process using the C4.5 algorithm where the rule is the final result of the decision tree form.
استخدام التكنولوجيا الرقمية في تقييم الأداء المؤسسي "دراسة تطبيقية على مؤسسة بسمة أمل لرعاية مرضى السرطان" (The Use of Digital Technology in Assessing Institutional Performance: An Applied Study on Basmat Amal Foundation for Cancer Patients Care)

Arabic Abstract: هدفت الدراسة إلى معرفة دور استخدام التكنولوجيا الرقمية في تقييم الأداء المؤسسي ومدى ملائمة الاستخدام الالكتروني في مجال التقييم, وفق أسلوب التقييم الذكي في مؤسسة بسمة أمل لرعاية مرضى السرطان بقطاع غزة, وقد استخدم الباحثان المنهج التجريبي, وذلك لمناسبته في طبيعة الدراسة التطبيقية, وتكون مجتمع الدراسة من جميع العاملين في كافة الوظائف في المؤسسة محل الدراسة البالغ عدد (25), وبأسلوب الحصر الشامل وتم جمع البيانات من خلال تشكيل لجنة مهنية حسب نظام النموذج المقترح, وتم ادخال البيانات الى برنامج محوسب, وتم الحصول على مؤشرات رقمية نتيجة التقييم الذكي, وكان من أهم النتائج التجريبية أن هناك دور وأهمية لاستخدام التكنولوجيا في التقييم الرقمي الذكي من حيث الدقة والجودة والسرعة في الحصول على المعلومات, بالإضافة لانخفاض التكلفة وذلك عند المقارنة بنظم التقييم الورقية وأيضا اقتراح الحلول لمعالجة جوانب الضعف الناتجة عن التقييم التقليدية, واتضح أن لدى مؤسسة بسمة أمل ذكاء متوسط بنسبة 58,1%, وكانت نسب معايير الذكاء على النحو التالي: (القيادة 68.7%, التخطيط 56%, تطوير المعرفة 57,3%, الابتكار45,8%, التكنولوجيا 69.2 %, التقييم والرقابة 41,6%, ضغوط الأداء 62,8%, الانتظام والتوافق 57,5%, الاتصال التنظيمي 65,3%). English Abstract: The study aimed to know the role of using digital technology in assessing institutional performance and the appropriateness of electronic use in the field of evaluation, According to the smart assessment method at Basmat Amal Foundation for cancer patients in the Gaza Strip, The researchers used the experimental method, This is due to its suitability in the nature of applied study, The study population was employees in all jobs in the institution under study, which was (25) employees, The data was collected by forming a professional committee according to the suggested model system, The data was computerized into a program, and digital indicators were obtained as a result of the smart assessment, One of the most important experimental results was that there is importance for using technology in smart digital assessment in accuracy, quality and speed in getting information, in addition to low costs, when comparing paper-based evaluation systems. Also, proposing solutions to overcome the weaknesses points from the traditional evaluation. And it turned out that Basmat Amal Foundation has an average of intelligence of 58.1%, Intelligence criteria ratios were as follow, (Leadership 68.7%, planning 56%, knowledge development 57,3%, innovation 45,8%, technology 69.2%, evaluation and control 41,6%, performance pressures 62,8%, regularity and compatibility 57,5%, organizational communication 65, 3%).