Reviewerly/exHarmony huggingface dataset:
Teacher’s Strategy In Teaching Vocabulary To Deaf Or Hard-Of-Hearing Students

Deaf students are students who have little or no speech depending on the severity of the hearing loss, meanwhile hard of hearing students are students who may have speech impairments as a result of their inability to hear their own voices clearly. By applying the qualitative approach with the descriptive method, the study depicts the strategy used by the teacher in teaching vocabulary to seven students of the eleventh grade at SLB Dharma Wanita-Bogor, which was conducted from May 15 to December, 15th 2022. The data were collected through observation, documentation, and interview. The observations were done from August to September 2022, meanwhile, the interview was on 15th October 2022. The participants of the study were two targeted English teachers at SLB Dharma Wanita-Bogor who fulfilled the criteria that they have a background in teaching English, have been teaching English for more than 5 years, are qualified, and are experienced in teaching deaf students. From the observations, the documentation, and the interview, it is revealed that both teachers had carried out the steps written in their lesson plans completely, and the strategy used by both teachers are repetition, lip reading, gesture, body movement, through-the-air language comprehension, and the use of media. In lip reading and through the air communication, they pronounced each word carefully and slowly and asked each student to repeat what they said, used the media/pictures which are available in the class, and asked the students to look up the dictionary to find the words. If the students still find difficulties in saying the words, both of the teachers used sign language, through air conversation or body movement. They confess that the students so far can follow the lesson well, and their final grades are considered enough until good.
Improved local descriptor (ILD): a novel fusion method in face recognition

Literature suggests that by fusing multiple features there is immense improvement in the recognition rates as compared to the recognition rates of single descriptor. This motivate researchers to develop more and more fused descriptors by joining multiple features. Inspiring from the literature work, the proposed work launch novel local descriptor so-called Improved Local Descriptor (ILD), by joining features of 4 local descriptors. These are LBP, ELBP, MBP and LPQ. LBP captures local details. ELBP capture robust features in horizontal and vertical directions (elliptically) by using 3 × 5 and 5 × 3 patches. MBP minimizes image noise by median comparison to all the pixels and LPQ quantize the frequency components for obtaining feature size. These essential merits of 4 descriptors are encapsulated in one framework in the form of histogram feature. PCA is used further for compression and SVMs and NN are used for classification. Results on ORL, GT and Faces94 confirms strength of ILD, which beats separately implemented descriptors and various benchmark methods.
Log-Normalization Constant Estimation using the Ensemble Kalman-Bucy Filter with Application to High-Dimensional Models

In this article we consider the estimation of the log-normalization constant associated to a class of continuous-time filtering models. In particular, we consider ensemble Kalman-Bucy filter based estimates based upon several nonlinear Kalman-Bucy diffusions. Based upon new conditional bias results for the mean of the afore-mentioned methods, we analyze the empirical log-scale normalization constants in terms of their $\mathbb{L}_n-$errors and conditional bias. Depending on the type of nonlinear Kalman-Bucy diffusion, we show that these are of order $(\sqrt{t/N}) + t/N$ or $1/\sqrt{N}$ ($\mathbb{L}_n-$errors) and of order $[t+\sqrt{t}]/N$ or $1/N$ (conditional bias), where $t$ is the time horizon and $N$ is the ensemble size. Finally, we use these results for online static parameter estimation for above filtering models and implement the methodology for both linear and nonlinear models.
Deriving Euler's Equation Via Lagrangian Dynamics with Generalized Coordinates

Euler’s equation relates the change in angular momentum of a rigid body to the applied torque. This paper fills a gap in the literature by using Lagrangian dynamics to derive Euler’s equation in terms of generalized coordinates. This example is done by parameterizing the angular velocity vector in terms of 3-2-1 and 3-1-3 Euler angles as well as Euler parameters, that is, unit quaternions.
SITUATIONAL STUDENT RESEARCH PROJECTS MANAGEMENT

Purpose: To propose a framework for choosing a project management approach for student research projects, taking into account the individual objectives of the advisor and the student, their personalities, the project type, and its environment.The proposed approach should increase the success rate
Eephts-Dcmp: Energy Efficient Parallelized Homogeneous Task Scheduling Based on Decentralized Decision Using Max Precedence State of Execution in the Cloud Environment

Cloud-based services encompass a wide range of web-based offerings that include scheduling tasks to perform multiple jobs simultaneously. However, the scheduling of multiple job processes can be tedious, resulting in improper load balancing in virtual environments. Load balancing is a critical aspect of cloud computing for scheduling in distributed environments. To reduce workload, cloud resources have become an integral and essential aspect. Load balancing entails dividing the load equally to ensure high throughput with minimal response time. Numerous algorithms have been proposed to provide efficient load balancing. The desired level of scheduling and computation time plays a vital role in cloud-based services. To address these challenges, we propose Parallelized Homogeneous Task Scheduling based on Decentralized Decisions using the Max Precedence Technique (PHTS-DCMPT). Additionally, task allotment proceeds with the Enhanced Max-Min Algorithm (EMM) using a parallel, decentralized switcher process. A cloud resource that employs switch-over virtualization technology enables job data allotment support during the scheduling process on static queue demands. The proposed on-demand virtual scheduling implementation aims to enhance time consumption, utilization, scalability, and throughput performance in a real-time environment.
Evaluation of Computer Network Simulation Applications to Support Online Learning

Computer network learning is learning that prioritizes practice compared to theory to be able to understand the material more clearly. Therefore, computer network learning requires real learning media to support learning effectiveness. However, because the cost of procuring computer network learning media is quite large, it is one of the main obstacles. By using a computer network simulator application is one way to overcome these obstacles. At this time there are several computer network simulator applications that can be used to support computer network learning activities to run efficiently. In this study, researchers evaluate and analyze several network simulation applications, to find out which applications are more efficient to use in learning computer networks, seen from the application capabilities in IP Address configuration, Subnetting, Routing. This study uses the observation method of computer network simulator applications that have been determined, namely the application of (1) Cisco Packet Tracer, (2) GNS3, (3) EVE-NG, (4) Boson Netsim, using the LORI research instrument version 1.5. This research has several stages, namely data collection, data reduction, scoring, data presentation, drawing conclusions and measured using a Likert scale. The results of this study indicate that the application (1) Cisco Packet Tracer ranks first with a value of 89.1%, (2) Boson Netsim is in second place with a score of 86.6%, (3) GNS3 ranks third with a value of 85.4%, (4) EVE-NG ranks fourth or lowest with a score of 83.3%.
Pengaruh Pengelolaan Sistem Informasi Manajemen Berbasis Komputer terhadap Produktivitas Kerja Karyawan di Pondok Pesantren Ummul Masakin Kabupaten Batanghari

This study aims to determine the influence of computer-based management information system management on productivity in Madrasah Aliyah Pondok Pesantren Ummul Masakin. This research is a quantitative study using a correlational research design, while the data analysis technique uses normality and product moment correlation tests. The results of this study found that in the 12 employees who were sampled there were results of product moment correlation testing, it was found that at the significance level of 5% = 0.576 and at the significance level of 1% = 0.708 it was rejected and accepted.
From separation to integration

In today’s scoring practice the boundaries between “music” and “sound effects” have become thinner and overlapping. This practice has been favoured by innovations in sound technology and by the digitalisation of the post-production processes. Once all the ingredients were created not only in separate departments but through separate technological procedures, while now everything converges into digital processing. Hans Zimmer has been a pioneer of this technological convergence, anticipating (and influencing) the contemporary style of film music, one that seeks a tight integration with the film’s overall sound design. Laudatory accounts have already been offered of the new “integrated soundtrack”. In this article, after providing a short summary of the path to the contemporary integrated soundtrack and sound-design style, and after summarising the strengths and opportunities, I also provide some discussion of the potential threats and risks of this new trend; threats and risks that can have an impact on the film-music practitioners, on the viewers, and on film music in general.
Fuzzy Layered Convolution Neutral Network for Feature Level Fusion Based On Multimodal Sentiment Classification

Multimodal sentiment analysis (MSA) is one of the core research topics of natural language processing (NLP). MSA has become a challenge for scholars and is equally complicated for an appliance to comprehend. One study that supports MSdifficulties is the MSA, which is learning opinions, emotions, and attitudes in an audio-visual format. In order words, using such diverse modalities to obtain opinions and identify emotions is necessary. Such utilization can be achieved via modality datafusion;such as feature fusion. In handling the data fusion of such diverse modalities while obtaining high performance, a typical machine learning algorithm is Deep Learning (DL), particularly the Convolutional Neutral Network (CNN), which has the capacity to handle tasks of great intricacy and difficulty. In this paper, we present a CNN architecture with an integrated layer via fuzzy methodologies for MSA, a task yet to be explored in improving the accuracy performance of CNN for diverse inputs. Experiments conducted on a benchmark multimodal dataset, MOSI, obtaining 37.5% and 81% on seven (7) class and binary classification respectively, reveals an improved accuracy performance compared with the typical CNN, which acquired 28.9% and 78%, respectively.
Pengembangan Media Pembelajaran Articulate Storyline Menggunakan Model Think Pair Share di Kelas IV SDN Karang Tengah 07

This research is develop an Articulate Storyline learning media using Think Pair Share model was valid and practical. this research was Research and Development. The development procedure uses the ADDIE model consisting of analysis, design, development, implementation, and evaluation. the instrument used was a validity questionnaire and a practicality questionnaire. Data collection techniques used qualitative and quantitative techniques. The results of this study are in the form of learning media produced from the Articulate Storyline application which has an attractive appearance for elementary school students. Based on the results of media validator get 76.5% a very valid category. material validator get 91% a very valid category, linguists validator get 100% a very valid category. The practicality of the teacher's response at SDN Karang tengah 7 get 91.6% a very practical category and the practicality level at SDN Karang tengah 10 get 95.8% a very practical category. The practicality of the students' responses at SDN Karang tengah 7 get 91% a very practical category and the practicality level at SDN Karang tengah 10 get 93.8% a very practical category. It can be concluded that the Articulate Storyline learning media is valid and practical.
Struktur dan Ciri Kebahasaan Teks Eksposisi Karya Siswa Kelas X SMA Pertiwi 1 Padang

The research was conducted with the aim of describing the structure and linguistic characteristics of exposition texts by class X SMA Pertiwi 1 Padang. This research is a qualitative type with a descriptive method. The data and data sources in this study are the structure and linguistic characteristics of the exposition texts of 36 students' works. The researcher is the instrument of this research. The data collection technique applied is documentation. Data analysis was carried out by identifying general data, identifying data based on theory, analyzing data, recording data that had been analyzed, and concluding. The findings in this study are first, class X SMA Pertiwi 1 Padang is classified as good in the use of exposition text. This is reviewed based on the completeness and accuracy of the use of theses, arguments, and restatements. Even so, there are still some uses of thesis, argumentation, and restatement that are not in accordance with the theory. Second, students have used the four linguistic characteristics, namely pronouns, nouns, verbs, and conjunctions.
Text Encryption Analysis of Modified Symmetric Keys using Genetic Algorithm on Caesar Cipher and One Time Pad

&lt;span lang="EN-US"&gt;The problem of data security is essential because data must be maintained securely and in its integrity, starting with the sending procedure and ending with the intended recipient. One way to maintain data security is to use cryptographic techniques, which use data encryption characteristics to transmit messages in secret (information encoding). Information can be encrypted using the Caesar Cipher and One Time Pad, symmetric key cryptographic algorithms. The key must be changed as a critical component of the cryptographic procedure to enhance the data or text's security. This study aims to analyse text encryption on the Caesar Cipher and One Time Pad (OTP) algorithms using a modified symmetric key by implementing a Genetic Algorithm, an optimisation algorithm. The research phase begins by adjusting the key using two types of Genetic Algorithm crossover operators, one-point crossover and two-point crossover, applied to the Caesar Cipher and OTP algorithms. Then testing and analysis of the ciphertext strength are carried out by comparing the frequency of character repetition with the results of implementing the two modification keys to determine which encoding model provides a better data security strength.&lt;/span&gt;
Penerapan Metode Cooperative Tipe Jigsaw dalam Meningkatkan Keaktifan Belajar Siswa Kelas V pada Pembelajaran Bahasa Indonesia di SD Negeri 03 Sidigede Kecamatan Welahan Kabupaten Jepara

Researchers focus on conducting research in increasing the activeness of learning using the Jigsaw Type Cooperative learning method in learning Indonesian. The research was conducted to 1) find out the process of learning activities with the jigsaw cooperative learning method to increase the learning activity of fifth grade students in learning Indonesian. 2) Knowing the application of the cooperative type jigsaw method in increasing the learning activity of fifth grade students in learning Indonesian. This research method uses a type of qualitative research with a qualitative descriptive approach. The data sources used are primary and secondary data sources. Data collection techniques used in this research are observation, interviews, documents, and documentation. As for testing the validity of the data using source triangulation, technical triangulation, and time triangulation. Furthermore, researchers used data analysis in the form of data reduction, data presentation (data display), and drawing conclusions. The results of this study indicate that (1) the process of learning activities of the jigsaw cooperative learning method in the Indonesian language subject at SD Negeri 03 Sidigede Welahan Jepara goes through the stages of preparing the teacher to prepare a Learning Implementation Plan (RPP) and implementing the learning process with explanations The material presented includes preliminary activities, core activities, closing activities, evaluation activities, and assessment activities. (2) In applying the jigsaw type cooperative learning method, the teacher provides mastery of the material to students, namely in the form of evaluating the questions in thematic books in groups. It can be seen in the application of the cooperative type jigsaw method at SD Negeri 03 Sidigede that students listen to discussions well, can know the abilities of each individual, during discussions students ask each other questions and opinions, all students play an active role, accept each other's deficiencies in differences of opinion from the results of their friends' answers, students dare to solve problems, deeper understanding, all students are enthusiastic about doing assignments.
PERCEPTIONS OF SECONDARY SCHOOL STUDENTS ON LISTENING ACTIVITIES IN A SECOND LANGUAGE CLASSROOM IN A REMOTE SCHOOL IN MALAYSIA

Most English language teaching classes do not teach language listening strategies nor skills. Due to this, most students especially those in rural areas will not be able to perform well in listening activities and tasks. This research looks at the perceptions and understanding of students in a rural school on their listening strategies. Open-ended questionnaire was used along with focus group discussions and semi-structured interviews looking at their awareness and usage of listening strategies in ESL classrooms. Most of the students are indigenous, therefore, they mentioned that they hardly use any strategies and they are not aware of those strategies. Findings also indicated they find the strategies to be not useful since they do not see the reasons for using these strategies due to their background. Although they felt that they have no reasons to use or study these strategies, they do admit that it will be useful as this could help to sharpen their listening skills.
Peran TIK bagi Pendidik dalam Dunia Pendidikan

Data communication technology (ICT) is currently influencing every aspect of people's lives. They play a significant position in the place of activity, business, education, and entertainment. Also, many people identify ICT as a driving force for change; changes in activity situations, prosecution and data alteration, learning methods, approaches to teaching and learning activities, objective research, and in accessing data communication technology. In this digital age, the use of ICT in categories is important for providing opportunities for students to practice and practice the necessary 21st century skills. ICT enhances learning and teaching and learning activities and their importance for teachers in carrying out their role as inventors of pedagogical fields. ICT helps a teacher to convey his teaching in an interesting and learnable way for teaching participants at every level of the educational program. In making educational nursery upgrading programs useful and interesting as ICT. Data and Communication Technologies (ICT) exemplified by the internet and interactive multimedia are clearly an important focus for future education and need to be integrated effectively into learning and formal teaching and learning activities, especially in teacher education institutions.
Sensors which can be used for remote quantum estimation

Quantum sensors have a significant advantage over their classic counterparts, and hence their practical application is of particular importance. However, in many practical scenarios, it is not possible to measure or estimate at close distances and endangers the security of the process. In this paper, with the help and inspiration of the quantum teleportation process, we propose the design of a sensor remotely estimating the parameter encoded into the quantum state of a quantum system. We show how the control over classical and quantum noises, affecting the sensor, can enhance the estimation. Moreover, the practical implementation of this project is discussed in detail.
Evaluiranje trajnostnih kompetenc pri srednješolcih

Climate change and the rapid growth of the world's population are forcing us into a new, sustainable way of life. The changes can be the result of legislation, financial politics. We can adapt our lives even faster to a given situation if we are properly educated. In particular in the countries of the European Union, there is a growing emphasis on adequate education in the area of sustainable living. The article will check whether young people are even aware of the basic energy values so that they can use energy as efficiently as possible and living sustainably. Students from grammar schools, upper secondary tehnical schools and vocational schools responded to the survey. A comparison was made between these programmes. The research showed that students, regardless of their chosen direction of schooling, have a very poor basic knowledge of energy values.
ENHANCING ESL STUDENTS’ SPEAKING MOTIVATION THROUGH INSTAGRAM (IG)

This study addresses the issue of investigating how Instagram (IG) helps to enhance students’ speaking skills in English, particularly their confidence and motivation in speaking. While many studies have looked at the impact of IG on language learning, little is known about Instagram could enhance ESL students’ communication skills. A qualitative case study was conducted which involved 6 students selected based on the purposive sampling technique, at one multi-ethnic secondary school in Petaling Jaya, Selangor. Multiple methods such as pre and post-interview sessions and IG postings were used to collect the data. Data were analyzed thematically and via content analysis. The findings revealed three themes associated with IG which are: Connecting, sharing and learning. IG also helped to enhance ESL students’ motivation and confidence in using English. It is recommended that language teachers implement media platform such as Instagram to create more conducive language learning environment. It also contributes to new ideas and knowledge on how teachers and learners can conceptualize and use Instagram in English speaking-lessons.
Pengaruh Model Pembelajaran Scramble terhadap Hasil Belajar IPA Kelas V SDN 2 Selebung Ketangga

This study aims to determine the effect of using the scramble model on science learning outcomes for fifth grade students at SDN 2 Selebung Ketangga Keruak East Lombok for the 2021/2022 academic year. This research used experiment method with true experimental design and this research use program post-test only control design. The population of this study research was all of fifth grade students of SDN 2 Selebung Ketangga . The sample of this research definited by sampling jenuh technique wich was fifts A as a experiment class and fifth B as a control class. The accumulation data of this research used performance study test. The data analysis used t-test both. The result of hypotheses showed that thitung&gt;ttabel was (2,340 &gt; 2,028) wich means Ho rejected and Ha accepted, it can be concluded that the used of scramble model has influence toward the result of study at fifth grade students of SDN 2 Selebung Ketangga Keruak Lombok Timur in academic years 2021/2022 .