Reviewerly/exHarmony huggingface dataset:
Penerapan Model Pembelajaran Discovery Learning untuk Meningkatkan Hasil Belajar IPS Siswa Kelas VII.D SMP Negeri 12 Mataram

The purpose of this study was to determine the increase in social studies learning outcomes through the application of the Discovery Learning method for Class VII.D students of SMP Negeri 12 Mataram in the 2021/2022 academic year. This research is a Classroom Action Research (CAR), using two cycles through the planning, action, observation, and reflection stages. As subjects in this study were class VII.D students for the 2021/2022 academic year with a total of 32 students, consisting of 17 male students and 15 female students. The results of this study indicate that of the number of students, namely 32 people in the initial conditions, students who have a good level of attention are 21 students or if the percentage is 65.63%. In the first cycle stage, there were 26 students or if the percentage was 81.25%, this proved an increase of 15.62% from the initial conditions. Then in the second cycle of students whose attention is categorized very well, there are 32 students or 100%. This proves an increase of 18.75% from cycle II. Based on the results of this study, it can be concluded that social studies learning by applying or using the Discovery Learning model can improve student learning outcomes for class VII.D SMP Negeri 12 Mataram.
How Big data Analytics Supports Project Manager in Project Risk Management – Cases from UAE Health Sector

Abstract&#x0D; &#x0D; Big data analysis allows analysts, researchers, and business users to make better and faster decisions using data that was previously inaccessible or used. Companies can use advanced analytics techniques such as text analysis, machine learning, predictive analytics, data mining, statistics, and natural language processing to gain new insights and insights from previously untapped data sources independently or with existing enterprise data. Significant challenges are still in how to deal with this data and maximize their use, so large data have become the clock that has become the most national, regional, and international institutions, and a broad range of database management, methodologies and measures that can be adopted for the exploitation of large data in all areas of life.&#x0D; This paper investigates the effects of big data analytics on project risk management with examples from Healthcare sector in UAE. Inclusive research has been done by searching approximately more than 20 references resulted in a literature review studied the effect of implementing data analytics in business, technology, industry, and society businesses aspects. A research methodology has been done by interviewing professionals from healthcare field investigating further the role of Data analytics in analyzing and managing data in healthcare, its benefits in predicting risks and improving healthcare outcomes and future insights.&#x0D; This research’s result reveals that collecting data and applying data analytics even in businesses or healthcare represent an important kind of digital transformation. An obvious finding from this research is that business intelligence and data analytics has been implemented widely in UAE healthcare sector by both government and privet sectors resulting in opportunities that develop and emphasize positive changes to this sector.
Research Trends and Textbook Analysis of Korean Language Education for International Students in Science and Engineering

This study aims to analyze trends over the past 14 years, in Korean language education research and Korean language textbooks for international students in science and engineering. This study aims to provide direction for future research and textbook development in Korean language education for science and engineering students by examining research trends and analyzing Korean language textbooks developed for the target group. Although the number of international students studying science and engineering in Korean universities has steadily increased, the number of research studies and textbooks tailored to their needs has been insufficient. Thus, Chapter 2 highlights the need to enhance research and diversify textbooks for this specific learner group by examining the current status of international students in science and engineering. Studies specifically investigating the Korean language learning by international students studying science and engineering began in 2008. Therefore, Chapter 3 analyzes 42 research papers published since 2008 related to international students in science and engineering undertaking Korean language education. These papers were analyzed in terms of year, type, method, target, and topic to identify trends. Chapter 4 analyzes six Korean language textbooks published since 2008, for international students in science and engineering with respect to teaching and learning situations, curriculum, and teaching methods. Based on the results of trend and textbook analysis, this study suggests directions for future research and textbook development in Korean language education for international students in science and engineering.
Analisis Kesulitan Membaca Permulaan Siswa dalam Pembelajaran Daring Kelas 3 SDN 01 Cikoko Jakarta Selatan

This research was motivated by the difficulty of beginning reading in Bahasa Indonesia subject in online learning of the 3rd grade students at SDN 01 in Cikoko, South Jakarta. This research was conducted with the aim of overcoming students' beginning reading difficulties and looking for any factors that made students have difficulty reading and also describing the role of the teacher to be used as a solution in overcoming beginning reading difficulties. This research was conducted using qualitative research with descriptive methods using instrument values, observations, interviews, and document multiplication as data collection techniques. The research subjects were teachers and students of the third grade at SDN 01 Cikoko, South Jakarta. The results of this study are expected that students who have the difficulty on beginning reading can partake the teaching and learning activities in class well, have no difficulty when teaching and learning activities are carried out by online learning, the teacher can find solutions and what media are suitable to be used to overcome the difficulties of beginning reading experienced by some students of the third grade at SDN 01 Cikoko, South Jakarta.
Authors' Reply to the Comments by Kamata et al.

We thank Kamata et al. (2023) [1] for their interest in our work [2], and for providing an explanation of the quasi-linear kernel from a viewpoint of multiple kernel learning. In this letter, we first give a summary of the quasi-linear SVM. Then we provide a discussion on the novelty of quasi-linear kernels against multiple kernel learning. Finally, we explain the contributions of our work [2].
Audio / Text to Sign Language Translator using Python

bstract: Deaf people always miss out the fun that a normal person does, may it be communication, playing computer games, attending seminars or video conferences, etc. Communication is the most important difficulty they face with normal people and also every normal person does not know the sign language. The aim of our project is to develop a communication system for the deaf people. It converts the audio message into the sign language. This system takes audio as input, converts this audio recording message into text and displays the relevant Indian Sign Language images or GIFs which are predefined.By using this system, the communication between normal and deaf people gets easier.
Discerning of Gestures using Machine Learning

Abstract: Hand gestures can improve computer vision, and gesture-based innovation can provide a natural way to engage. Deafness is a hearing loss that prevents people fromunderstanding spoken language. Thanks to sign language, thegap in spoken language has also shrunk. Hand gestures are assessed in the same way as sign language is, displaying howdeaf people naturally communicate. We propose real-time hand gesture recognition in our study. Deaf people profit from the proposed CNN model design since it will help themovercome communication barriers. The proposed model wasable to recognise 11 different gestures with 94.61 percent accuracy using depth images.
Medical Italian language: application of terminology and specific didactic materials in the teaching process

The article dwells upon issues of the last years faced in the teaching of the Italian medical language for specific purposes (LSP) in Albanian universities. The main issue is related to the role of the lecturer of a specific language course, the competencies it requires and difficulties arising from the medical terminology. In this sense, the specifics of the creation and composition of specific terminology are initially treated, in general, as specialization, metaphorizing, neology etc., as well as the characteristics of the Italian medical terminology in particular. Furthermore, the article deals with the specifics of the role of teachers in this field, the problems that may be encountered in the didactic process, what competencies they should possess and which methodology should be put in place. In order to develop a useful teaching process and with the aim of strengthening the specific competencies required for the LSP students, an innovative didactic unit has been elaborated with Italian language materials, whereby relevant exercises for creating the medical words are additionally suggested to enhance the competence of independent learning throughout life.
Pengembangan Digi Ecosmart, Ekosistem Ekonomi Digital Cerdas Berbasis Immersive Technology PT Nuswantoro Informasi Teknologi

Sidoarjo Regency is a Delta Plain with an altitude between 0 to 25 m, a height of 0-3m with an area of 19,006 Ha, covering 29.99%, is a fishpond area located in the eastern part of the Central Region which has fresh water with an altitude of 3-10 meters above sea level is a residential area, trade and government. Covering 40.81%. The western region with an altitude of 10-25 meters above sea level is an agricultural area. [1],[2]The Matching Fund Program is a program funded by the Ministry of Education and Culture, Ministry of Research and Technology to strengthen cooperation between PTs and DUDI to jointly form the Merdeka Learning Ecosystem - Merdeka Campus. At the end of the program, a better and sustainable working relationship will be established between PT and DUDI, which is expected to contribute to solving real problems in the field or carrying out national strategic actions. [3]The method used on this project is prototyping, which is a system development method in which prototypes are built, tested and then reworked as necessary until acceptable results are achieved of the system or a complete product can be developed.
Deep image steganalysis network based on coordination attention mechanism

To improve the detection effect of image steganalysis on whether unknown images contain secret information, a novel deep steganalysis model based on coordination attention mechanism is proposed. Firstly, a high-pass filter groups is used to process the input image to acquire the noise residual features almost unrelated to the image content to eliminate the effect of the image content, which is conducive to the subsequent convolutional layer to model the image features. Secondly, the convolutional layer and attention mechanism are combined in the body part of the network, which can not only enhance the useful feature flow, but also boost the network to consider the discriminating features. Finally, the global average pooling layer is employed to aggregate features of channel dimension to generate the feature descriptors, and the fully connected layer is utilized to classification. The probability of input image being identified as the stego image and the cover image is acquired by the softmax operation. A lot of experiments prove that our network is better than the existing deep image steganalysis model.
Peran Motivasi Belajar Siswa Terhadap Hasil Belajar Pada Muatan IPS (Studi di SD Negeri 067245 Medan Selayang)

This study aims to determine how the role of learning motivation on student learning outcomes in social studies class VI SD Negeri 067245 Medan Selayang. This type of research is descriptive research. The subjects of this study were all Grade VI students at SD Negeri 067245 Medan Selayang. This research method is a literature review (Library Research). Collecting data using observation, interviews and documentation. Data analysis techniques using descriptive analysis techniques. Based on the results of this study, it shows that: The Role of Student Learning Motivation on learning outcomes in Social Science Subjects in Theme 6 (Towards a Prosperous Society) Sub-Theme II (Building a Prosperous Society) Class VI SD Negeri 067245 Medan Selayang is very important, this is because students Those who have great motivation will be more active in learning, enthusiastic, solving problems, more active during the teaching and learning process, high curiosity and so on so that they can improve their learning outcomes. This can be seen when students are studying on the theme of Theme 6 (Towards a Prosperous Society) Sub Theme II the teacher increases student motivation by using interesting learning methods and media with the aim of attracting students' attention. Conversely, students who have low motivation, appear indifferent, easily discouraged, their attention is not focused on learning, as a result students will experience learning difficulties. It can be seen that there are still students in class VI who cannot be independent and responsible, especially in social studies learning.
WordNet-based Computation of Semantic Similarity Between Two Vietnamese Nouns

Abstract. This study aimed to measure the semantic distance between Vietnamese nouns to determine their similarities and differences in terms of semantics. The study utilized a dataset of 1000 randomly selected noun pairs from the Vietnamese WordNet and applied different semantic distance measurement formulas, such as Path-length, Leacock &amp; Chodorow, Wu &amp; Palmer, Resnik, Lin, and Jiang-Conrath measures. The results showed that the Resnik measure is suitable for evaluating noun similarity among primitive concepts of the same class and for measuring proximity between two classes of primitive concepts. On the other hand, the Leacock &amp; Chodorow measure is appropriate for measuring the semantic distance between nouns belonging to two distant classes of primitive concepts. The methods used in this study have various potential applications in different fields of linguistics, such as determining synonyms, identifying semantically similar words, defining lexical-semantic fields, and detecting plagiarism.
Novice Coders Reactions to Pedagogical Strategies within a Coding Education Course

While coding is integrated into K-12 curricula worldwide, most teachers are new to coding and need more preparation on how to present coding well. This study investigates the reactions of novice coders to teaching strategies within a carefully developed coding for pre-service teachers (PSTs) course. During the course, PSTs participated in many coding challenges and were prompted to reflect on their learning and connections to future teaching in Digital Learning Portfolios (DLPs). Using thematic analysis, the DLPs of 3 PSTs without prior coding experience were analyzed in depth to determine PST reactions to the teaching strategies used within the coding-for-teachers course. The reflections captured in the teaching approaches were generally effective for novice coders, but at times more scaffolding would have supported learning. Finally, the implications of these findings are discussed concerning teacher educators preparing teachers to teach coding in other contexts.
Specular Reflection Removal for 3D Reconstruction of Tissues using Endoscopy Videos

Endoscopy is widely employed for diagnostic examination of the interior of organs and body cavities and numerous surgical interventions. Still, the inability to correlate individual 2D images with 3D organ morphology limits its applications, especially in intra-operative planning and navigation, disease physiology, cancer surveillance, etc. As a result, most endoscopy videos, which carry enormous data potential, are used only for real-time guidance and are discarded after collection. We present a complete method for the 3D reconstruction of inner organs that suggests image extraction techniques from endoscopic videos and a novel image preprocessing technique to reconstruct and visualize a 3D model of organs from an endoscopic video. We use advanced computer vision methods and do not require any modifications to the clinical-grade endoscopy hardware. We have also formalized an image acquisition protocol through experimentation with a calibrated test bed. We validate the accuracy and robustness of our reconstruction using a test bed with known ground truth. Our method can significantly contribute to endoscopy-based diagnostic and surgical procedures using comprehensive tissue and tumor 3D visualization.
REBUILDING COMPATITVNESS ATTRACTION OF GOLF TOURISM KOSAIDO COUNTRY CLUB IN SIGAR PENJALIN VILLAGE, TANJUNG DISTRICT, KAB. NORTH LOMBOK

This study discusses the strategy of rebuilding the competitiveness of the Lombok Kosido Golf Country Club. which focuses on developing its tourist attraction. Tourism development is the main theory used in this research and data collection uses interview, observation and documentation techniques which are ultimately analyzed descriptively because the data analysis used is descriptive method. The results showed that the attraction found was the product which was divided into four packages. Includes 1 round 18 hole package which is a golf player package at a price of 1,775,000/pax (1 person), 1 round 9 hole package is a golf game package. The one priced at 1.650.000/pax (1 person), the 2 person package 1 round 18 holes is the golf game package at the price of 1.450.000/pax, the 2 person package 1 round 9 hole 1.150.000/pax. The facilities available at Lombok golf kosaido country club include 18-hole golf. APLAGI certificate, golf cart, golf club rental, shoe and umbrella rental, driving range, proshop, locker/toilet, prayer room, restaurant, parking lot. And the panoramas offered at the Kosaido Golf Country Club Lombok are Sire Beach and Medane Beach, Gili Tiga Islands (Trawangan, Meno and Air), Mount Rinjani, Lombok's wildlife. The strategies found and recommended are strangth-opportunities, including offering quality and well-known products at affordable prices, maximizing customer service, maximizing product sales through social media. As well as maintaining the company's image in the eyes of the public so as to increase customer loyalty.
Desensitization method of image data in the Internet of Vehicles based on instance segmentation

With the continuous development of intelligent connected vehicle industry, cameras and other vehicle-mounted devices are widely used, so the amount of data collection is increasing. There is a large amount of sensitive information hidden in the image data generated by connected vehicles. Once the data leakage event occurs, it may cause very serious consequences. In order to improve the security of connected vehicle data and reduce the threat of sensitive information leakage in image data, this paper provides a desensitization process of connected vehicle image data, and desensitizes sensitive information based on instance segmentation technology. In this paper, a real road image dataset is collected, and realizes desensitization of the modified dataset based on proposed framework.
Causanom: Anomaly Detection With Flexible Causal Graphs

Causality-based anomaly detection methods provide at least two significant theoretical benefits over purely statistical methods: 1. Improved robustness to non-anomalous out-of-distribution data, which implies a reduction in false-alarms; 2. A potential for failure localization due to the topological ordering of the causal graph. Recent studies have considered the utilization of causality-based methods for time series anomaly detection, however, these methods require the causal graph to be fixed; resultingly, such methods are not robust to incorrectly estimated causal graphs and are not able to natively model counterfactual scenarios. To address these limitations, we introduce Causanom: a graph-based encoder-decoder neural network for time series anomaly detection. Causanom utilizes a node conditional data-stream representation in conjunction with a weighted graph aggregation function in order to efficiently capture heterogeneous node dynamics whilst allowing for a flexible graphical structure. We show that Causanom can be trained along with auxiliary constraints in order to tune the causal graph and improve performance. Additionally, we show that Causanom can be used to produce counterfactual data, which we leverage to identify violated causal relationships. Using real and synthetic time series data respectively, we show that Causanom performs at least as well as state-of-the-art baselines in the anomaly detection task and outperforms existing methods in a causal attribution task.
LIVED EXPERIENCES OF SIX EIGHT GRADER STRUGGLING READERS IN SAN FRANCISCO INTEGRATED NATIONAL HIGH SCHOOL IN THE DISTRICT OF VICTORIA

The goal of this study was to determine the needs of the students who struggle in reading based on their lived experiences.Researcher-made interview guide for conducting interviews were used in data gathering which was held from December 2022 to January 2023.The researcher derived the following significant themes: socio-emotional impact of reading difficulties, importance of support systems at home and in school, effects of reading deficiencies on academic performance, and effects of reading deficiencies on social interactions.The experiences of the participants indicated that the socio-emotional impact of reading difficulties were sadness, fear, and humiliation.They were once humiliated and laughed at when they failed to read in class.Their experiences also highlighted the importance of support systems in school and at home.Results imply that students did not have reliable support system when they were younger.Only P1 and P2 shared experiences about teachers and parents helping them.However, the fact that they were still struggling proves that such support system was not enough.Participants cannot avoid the anxiety of being called during class discussions since they are aware of their reading shortcomings.Reading difficulties inhibit the participants from reading aloud and working on assignments, particularly those requiring English.Participants emphasized assignments and activities in "English" particularly.There were two kinds of struggling readers found in this study.First, those who acknowledge their need for assistance from others.Second, those who are afraid of seeking help considering they might get humiliated.The difference in the participants' perception on their social circles came from their previous experiences.Results established that the participants were aware of their reading deficiencies and of the past experiences that prevented them from successfully overcoming such.The past experiences of the participants brought fear and trauma, and these have not been resolved.The fear was caused by the teacher and classmates who reacted negatively to their inability to read.The feeling of fear remains in the participants, and they still fear to commit errors in reading and being laughed at.They need an inclusive learning environment where they will be helped instead of being humiliated.They need an intervention that would bring an increase in their level of self-esteem that has been neglected for quite some time.The study recommends that school may design a reading intervention program that does not only addresses the reading skills of the students but also their socio-emotional health.