Reviewerly/exHarmony huggingface dataset:
Geospatial Intelligence (GEOINT) As A National Defense Strategy for Information Overload in Indonesia

The global phenomenon in the Industrial Revolution 4.0 era is currently hitting Indonesia. Many information floods the public every minute with various content spread across multiple media. This information for a country can be a powerful weapon as a form of intelligence product to prepare a national defense strategy. The demands of an increasingly fast-paced era make GEOINT needed to obtain information quickly, accurately and integrate synthesis and analysis. Therefore, this study was conducted to identify the development of GEOINT in Indonesia and its application in overcoming information overload in the present. This study uses the library method by collecting references relevant to the research problem from various sources. The study results indicate that the overload of information from multiple increasingly sophisticated media due to technological developments has made GEOINT's information sources richer. GEOINT in Indonesia continues to optimize accuracy and speed in geospatial analysis to avoid losing to the rate of data sources that continue to increase, both from human resources, hardware, software, and access to information available according to Indonesia's needs. GEOINT as a national defense strategy can be carried out as a form of effective information collection and can protect confidential information. GEOINT will become increasingly valuable in both military and non-military management over the next few years.
Creating Reading Comprehension Computer Based Test (CBT) as The Graduation Requirement of Vocational College Students

Vocational College of Diponegoro University required the students to have a specific English test as their graduation requirement. This study aims to create the English test in the form of CBT for Vocational College students as their graduation requirement. One of the test components is reading comprehension test. This reading comprehension test consist of 5 passages which include 9 questions in every passages. The passages consist of business email, inquiry email, newsletter, complain letter, response to complain letter, resignation letter, job vacancy, promotional poster for events, promotional materials, regulation, job contract, company rules, and work ethic. The question in each passages include identifying main idea, objective, explicit information, implicit information, reference, word meaning based on context and cohesive device. The method used in this study is research and development method using ADDIE (Analysis, Design, Development, Implementation, and Evaluation) model as the research procedures. The result of this study is the reading comprehension computer-based test (CBT) system which consists of 5 different functional pages namely the student login page, student question page, package upload, passage and question upload and student result page.
Valorization of the Python programming language and its basic implementation

The fast development of information technologies in recent decades is reflected both in the emergence of many programming languages and in the methods of developing and writing high-performance algorithms. Because of this, the curriculum in the discipline of Informatics was modernized, both the fundamental components of informatics and the applied ones followed a continuous development. The textbook is an official curricular document of educational policy that ensures the school curriculum in a form that aims to present knowledge and skills systematically through different teaching units, especially from the perspective of the student, to arouse curiosity and to increase the knowledge and learning interests of students to put them in a position to be actively involved in their own training and development, we propose to digitize the textbook of Computer Science for 10th grade.
The implementation of practical activities in Delphi programming environment for informatics grade X

Using the Delphi programming environment in Computer Science lessons helps students to understand more quickly the basic concepts of visual programming, to develop their skills in coding applications in different fields, and not least such an approach motivates students to study Computer Science, because it arouses their interest.
The current situation regarding the implementation of digital textbooks in the educational process

The author investigates in this article the current situation regarding the use of digital textbooks in the teaching process, their design and implementation aspects, and their impact on the teaching process. As information technology gains more strength in our society, there are more questions about its integration for communication, collaboration, and learning information. The education system is constantly following the example of society and incorporates more technology and digital content into classrooms. But teachers emphasize not only the need to use digital educational resources of different types but also, lately, imperatively focus on integrating interactive digital textbooks in the instructional-educational process. The analysis of the possibilities of implementing interactive digital textbooks in education is carried out within the research project "Development and implementation of interactive digital textbooks in pre-university education" (State Program 2020-2023, project figure 20.80009.0807.25).
Introduction

This introductory chapter explains how logical inference is embedded in classical Benders decomposition, and how recognizing this fact opens the door to the substantial generalization represented by logic-based Benders decomposition (LBBD). It chronicles some early developments in LBBD, and it provides a motivating example that illustrates the basic ideas that underlie LBBD. It concludes with a brief overview of the rest of the book.
Fast and adaptive dynamics-on-graphs to dynamics-of-graphs translation

Numerous networks in the real world change with time, producing dynamic graphs such as human mobility networks and brain networks. Typically, the "dynamics on graphs" (e.g., changing node attribute values) are visible, and they may be connected to and suggestive of the "dynamics of graphs" (e.g., evolution of the graph topology). Due to two fundamental obstacles, modeling and mapping between them have not been thoroughly explored: (1) the difficulty of developing a highly adaptable model without solid hypotheses and (2) the ineffectiveness and slowness of processing data with varying granularity. To solve these issues, we offer a novel scalable deep echo-state graph dynamics encoder for networks with significant temporal duration and dimensions. A novel neural architecture search (NAS) technique is then proposed and tailored for the deep echo-state encoder to ensure strong learnability. Extensive experiments on synthetic and actual application data illustrate the proposed method's exceptional effectiveness and efficiency.
IMPROVING STUDENT LEARNING OUTCOMES IN GRADE VI THROUGH THE INFLUENCE OF EMOTIONAL INTELLIGENCE AT MADRASAH IBTIDAIYAH NEGERI PARANNAPA JAE, PADANG LAWAS REGENCY, INDONESIA

This research aimed to answer the following questions: (1) What is the level of emotional intelligence of grade VI students at MIN Parannapa Jae? (2) What are the learning outcomes of grade VI students at MIN Parannapa Jae? (3) Is there a significant influence of emotional intelligence on the learning outcomes of grade VI students at MIN Parannapa Jae? The research was conducted using a correlational quantitative approach and ex post facto method. The findings of this study were obtained from the documentation study conducted by the researcher using the students' report cards in grade VI at MIN Parannapa Jae. The highest score obtained was 96, while the lowest score was 78. The report card scores were grouped into 5 classes with a class interval of 4. Based on Table 4.4, the mean score was 84.46, the median was 85, the mode was 80, and the standard deviation and variance were 5.753 and 33.103, respectively.
Controle de Câmera Pan-Tilt via Método ADRC com Observador de Ordem Reduzida

In this work, the orientation control problem of a pan-tilt camera for focusing on moving objects is considered. Because of being a non-linear multivariable control system with coupled control inputs, this work presents and discusses the Active Disturbance Rejection Control (ADRC) method. One of the main advantages of using the ADRC is that the control law design does not require exact knowledge of the plant parameters and the pan and tilt angles measurements. These advantages are possible by using an extended observer to estimate the non-measurable signals of the states and nonmodeled dynamics. As a contribution to state-of- the-art, it is proposed an ADRC variant approach that is implemented with a reduced-order observer. Numerical simulations and comparisons with other control techniques illustrate the efficiency of the proposed control.
Application Analysis of Supervised and Unsupervised Methods for Clustering and Classification of a Wheat Seeds Dataset

This project aims to apply easy-to-implement supervised and unsupervised learning methods to do a cluster and classification analysis of the information from a wheat seeds dataset. In addition, it intends to thoroughly evaluate, employing post-processing techniques, the efficiency of the models produced from them, proving that it is not necessary to use complex procedures in this database, since the obtained results for clustering and classification were highly similar to the dataset original labels. The decision tree was chosen as the classification algorithm. Furthermore, k-means and Kohonen neural network were selected as the clustering methods. Additionally, pre-processing and exploratory data analysis techniques were explained in detail and employed in order to maximize the final quality of the model developed.
Análise de Dados na Flutuação Horária da Velocidade do Vento na Região Nordeste

The increase in the world population has generated the need for greater energy supplies. However, its growth was not accompanied, in numbers, by the supply of energy. In this context, environmental factors also prove to be a reducing agent for energy security, since the occurrence of long periods of drought affect the production of electricity. In view of this fact, energy independence is sought through renewable sources, of which wind energy has been standing out in the sector. Thus, this article enables an analysis of the hourly fluctuation of wind speed in some cities in Brazil, focusing on the Northeast region with the purpose of determining a possible implementation of wind farms under the determination of the wind regime. As a result, the highest wind intensities occur in periods with low rainfall. Therefore, it proves the possibility of using wind resources as a source capable of reducing water energy dependence in months of drought. To produce the results, databases from the Instituto Nacional de Meteorologia were used, verifying hourly data from automatic stations over a period of ten years, between 2012 and 2022.
Presenting a Comprehensive Model for Improving the Monitoring System in Sports Organizations with a Mixed Approach

Presenting a Comprehensive Model for Improving the Monitoring System in Sports Organizations with a Mixed Approach
Tren penelitian dan tantangan penerapan Common European Framework of Reference for Languages (CEFR) di Indonesia

The Common European Framework of Reference for Languages (CEFR) in language learning is incredibly beneficial to language learners, language teachers, and educational institutions. However, the implementation of CEFR does not appear to be comprehensive, one of which is due to the weakness empirical research on CEFR and various other factors. Therefore, this research aims to provide a comprehensive information regarding the extent to which CEFR studies in Indonesia have been carried out and various challenges in implementing CEFR in Indonesia. This research is a systematic review with the object of study are articles published in scientific journals during 2011—2021. This systematic review found surprising results where from 2011-2015, there was not found a single study on CEFR in Indonesia. The peak of articles publication on CEFR in Indonesia occurred in 2020, with a total publication of 15 articles. Other findings show that English is the dominant target language in CEFR studies in Indonesia. The challenges and problems of implementing CEFR in Indonesia are generally divided into three, challenges and problems related to educational institutions, teachers and CEFR itself.
DEVELOPMENT OF ELECTRONIC STUDENTS’ ACTIVITY SHEETS USING KVISOFT FLIPBOOK MAKER APPLICATION AND A STEM-BASED APPROACH ON HYDROCARBON MATERIALS

Using the Kvisoft Flipbook Maker application, this study seeks to develop an Electronic Student Activity Sheet (e-LKM) based on a STEM (Science Technology Engineering and Mathematics) approach to Hydrocarbon Materials. This research is Research and Development (R and D) employing the Plomp model, which consists of Preliminary Research (introduction), Prototype Stage (development), and Evaluation. Utilizing material and media expert validation sheets, this study's data acquisition method is based on expert validation sheets. The validity of e-LKM was demonstrated by material expert validation of 0.93 and media validity of 0.92 for the appropriate category, as determined by Aiken V analysis. The percentage of material validity results is 94.8 per cent, while the percentage of media with intriguing categories is 93%. The results of user responses from lecturers and students yielded percentages of 87% and 90% for the category "interesting." e-LKM's series of activities were founded on a STEM methodology encouraging students to be active, interactive, collaborative, and independent
Two (w,ω,n) weighted threshold quantum secret sharing schemes on d-level single quantum systems

Abstract Quantum secret sharing occupies an important position in quantum cryptography. In this paper, we propose two <?CDATA $(w,\omega ,n)$?> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mo stretchy="false">(</mml:mo> <mml:mi>w</mml:mi> <mml:mo>,</mml:mo> <mml:mi>ω</mml:mi> <mml:mo>,</mml:mo> <mml:mi>n</mml:mi> <mml:mo stretchy="false">)</mml:mo> </mml:math> weighted threshold quantum secret sharing schemes on d -level single quantum systems that share classical information and quantum states, respectively. The dealer Alice distributes the secret share to each participant using the Chinese Remainder Theorem(CRT) for a polynomial ring, which can realize secret sharing among participants with different weights. In classical information sharing, the dealer can share multiple secrets in one round of the protocol and the participants can verify the correctness of the recovered secrets. In quantum state sharing, the dealer can share multiple single quantum states in one round of protocol. Finally, we demonstrate that our scheme is resistant to common external and internal attacks and compare it with related schemes.
Correction for Boullé et al., Elliptic PDE learning is provably data-efficient

Civil infrastructure will be essential to face the interlinked existential threats of climate change and rising resource demands while ensuring a livable Anthropocene for all. However, conventional infrastructure planning largely neglects the ...
Multi-Keywords Searchable Attribute-Based Encryption With Verification And Attribute Revocation Over Cloud Data

The convenience and efficient management of cloud servers has resulted in an increasing number of users opting to store their data in the cloud. Consequently, data-outsourcing services relying on cloud servers have been extensively deployed and utilized. In this case, before outsourcing the data to cloud storage, we should ensure unauthorized users cannot access the data. In this article, we present a scheme termed MKSABE-VaAR (multi-keyword searchable attribute-based encryption with verification and attribute revocation). Aiming at the problems of inefficiency, excessive computation in the search process, and only supporting single-keyword search in most attribute-based searchable encryption schemes, first, we package multiple keywords into a polynomial to realize multi-keyword search. Based on this polynomial, MKSABE-VaAR can reduce the amount of search calculation for keyword ciphertext and improve search efficiency by reducing the number of bilinear pairing operations. At the same time, we have made some special constructs for indexing to add verification of user attributes in the keyword search process, which improves the search accuracy. Moreover, we adopt a linear secret-sharing technique to construct the attribute revocation function of MKSABE-VaAR, making a lower computational cost of attribute revocation. Furthermore, the mechanism of storing data and indexes separately greatly reduces the risk of data leakage of MKSABE-VaAR.
A Survey on Yoga Posture Correction

Abstract: Yoga is a holistic practice that combines physical postures, breath control, and meditation to promote physical and mental well-being. Yoga can be learnt by attending classes at a yoga center or through home tutoring. Books, podcasts, and videos can also be used to gain the knowledge. A good deal of people prefer self-learning, but without assistance and feedback, they may find it difficult to identify the inaccurate portions of their yoga poses and could not be able to determine whether they were executed correctly. Poor yoga practice might result in health problems including strokes and nerve damage. In order to help users practice yoga, we have proposed in this study a system that can track the movements of various body parts in yoga positions. By merging the deep learning intelligence with Google is MediaPipe's real-time detection of various human body joint points and the ability to infer the precision of specific postures in yoga from those joint points
PKM Pelatihan Pemanfaatan Literasi Digital Berbasis Android untuk Meningkatkan Hasil Belajar Siswa di SMP Negeri 4 Bajeng

This PKM is about PKM training on the use of Android-based digital literacy to improve student learning outcomes at SMPN 4 Bajeng. The problems faced by these partners are lack of understanding of students regarding the use of Android-based digital literacy, lack of motivation to do assignments which results in poor learning outcomes, students have cellphones and laptops but they are only used as communication tools and tools for typing assignments. Based on this It seems necessary to equip students with knowledge of the use of digital literacy. The solution offered by the service team is to conduct training on the use of digital literacy. In implementing this PKM program, class X students will be invited who will later by following this training become students who are able to utilize digital literacy in the learning process. This training will present presenters who are competent in their fields. The speakers presented were from educational circles, both lecturers and teachers who are capable of developing their profession, especially the use of digital literacy: (1) Welcoming the service team from Makassar State University by the principal of SMP 4 Bajeng, (2) Activities providing materials, (3) Mentoring and evaluation of class X students at SMP 4 Bajeng. Training methods are lecture methods, question and answer methods, and training/practice methods.
Paraphrasing Techniques for Improving Students’ Speaking Ability

The study aims are to describe the significance effect of paraphrasing techniques teaching in improving students speaking ability at Muhammadiyah Boarding School Pleret Yogyakarta and to know which type of paraphrasing technique is most used by the students. The study is conducted using quasi-experimental research with 22 students as samples. The experimental group was taught using paraphrasing techniques (using synonyms, change word class, change word order, and change active to passive or vice versa) and the control group was not given a treatment. The data is collected by recording the students’ paraphrasing personal recount text in speaking activity. The instruments used are IELTS Speaking band descriptor, taxonomy of paraphrasing types and collected data is analyzed descriptively and adopting independent t-test using SPSS version 22. The results show the treatment of the teaching paraphrasing techniques improves the students’ speaking ability. It proved that the p-value (sig. 2-tailed: 0.001) was smaller than 0.025. Thereafter, the most paraphrasing technique used by the students was using synonymous words where it was applied 115 times (64 %) from all the students/participants. These findings have assisted in building an app suitable for teaching speaking.
Paragraphing Techniques for Improving Students’ Speaking Ability

The study aims are to describe the significance effect of paraphrasing techniques teaching in improving students speaking ability at Muhammadiyah Boarding School Pleret Yogyakarta and to know which type of paraphrasing technique is most used by the students. The study is conducted using quasi-experimental research with 22 students as samples. The experimental group was taught using paraphrasing techniques (using synonyms, change word class, change word order, and change active to passive or vice versa) and the control group was not given a treatment. The data is collected by recording the students’ paraphrasing personal recount text in speaking activity. The instruments used are IELTS Speaking band descriptor, taxonomy of paraphrasing types and collected data is analyzed descriptively and adopting independent t-test using SPSS version 22. The results show the treatment of the teaching paraphrasing techniques improves the students’ speaking ability. It proved that the p-value (sig. 2-tailed: 0.001) was smaller than 0.025. Thereafter, the most paraphrasing technique used by the students was using synonymous words where it was applied 115 times (64 %) from all the students/participants. These findings have assisted in building an app suitable for teaching speaking.
Anomaly Detection in Time Series Data Using Reversible Instance Normalized Anomaly Transformer

Anomalies are infrequent in nature, but detecting these anomalies could be crucial for the proper functioning of any system. The rarity of anomalies could be a challenge for their detection as detection models are required to depend on the relations of the datapoints with their adjacent datapoints. In this work, we use the rarity of anomalies to detect them. For this, we introduce the reversible instance normalized anomaly transformer (RINAT). Rooted in the foundational principles of the anomaly transformer, RINAT incorporates both prior and series associations for each time point. The prior association uses a learnable Gaussian kernel to ensure a thorough understanding of the adjacent concentration inductive bias. In contrast, the series association method uses self-attention techniques to specifically focus on the original raw data. Furthermore, because anomalies are rare in nature, we utilize normalized data to identify series associations and employ non-normalized data to uncover prior associations. This approach enhances the modelled series associations and, consequently, improves the association discrepancies.