Reviewerly/exHarmony huggingface dataset:
Blockwise Robust Singular Value Decomposition for MRI Brain Image Denoising

MRI is one of the high-dimensional high-throughput technologies that are playing a major role for diagnosing brain tumor. With the help of MRI images, brain tumor is diagnosed at advanced stages. Correct identification of brain tumor or abnormality, image processing in MRI of brain is highly essential that can reduce the chance of fatal stage. Occasionally, these MR images are introduced with noise during acquisition which reduces the image quality and limits the accuracy in diagnosis. Therefore, preliminary diagnosis of MRI brain images from the hospital may not be always reliable for further analysis because of the presence of noise. Reduction/Elimination of noise in medical images is an important task in preprocessing which is one of the previous crucial parts for further image analysis. Although, several denoising techniques are available in the literature including median filter, box filter, low pass filter, and high pass filter. In this paper, we have measured the influence of the above methods for denoising. We have also proposed a new blockwise robust singular value decomposition technique for denoising image. The results of our analysis showed that blockwise robust singular value decomposition technique gives the better performance compared to the other methods. Therefore, our recommendation is to use the Blockwise robust singular value decomposition technique for brain image denoising.
Analisis Keterampilan Bertanya Guru pada Pembelajaran Kelas IV SDN 4 Sesean

The questioning skill is a teaching skill that is the basic requirement for mastering the next skill. Questioning techniques are not only aimed at obtaining information, but can also improve basic questioning techniques. The formulation of the problem in this study is how the teacher's ability to ask questions is sesean in Class IV learning at SDN 4. The purpose of this study was to find out what the teacher's ability to ask questions was like. The research subjects were teachers and students. In this study using a descriptive method. Data collection techniques through observation, interviews and documentation. The conclusion of this study is that there are teachers who are sub-optimal in mastering basic questioning skills when changing curves. This can be seen when the teacher asks questions and the teacher encourages students to give their opinions, but this teacher does not point evenly or alternately, so there are still students who are less active in class.
Practical method for improving the accuracy of weakly stressed birefringence detection by circularly polarized instantaneous photoelasticity

Due to the mismatch between the quarter-wave plate and the wavelength of the light source, the circularly polarized field photoelastic stress analysis method has an impact on the measurement of the phase delay and the stress direction angle. In particular, the measurement of the phase delay is inaccurate for weakly stressed samples with phase delays less than a quarter wavelength. In this paper, we first give a method for calculating the mismatch value δ which requires only one air calibration without prior calibration of the parameters of the quarter-wave plate with other equipment. We then introduce δ into the correction process for the phase delay, derive the correction equation, and give a theoretical comparison of the relative error curves. The results show that the correction method can theoretically limit the maximum amount of error. Finally, we have verified the accuracy of the method by measurements of the internal lens stress before and after the correction and by stitching measurements on SiC wafers.
The computational implementation of a platform of relative identity-by-descent scores algorithm for introgressive mapping

With the development of genotyping and sequencing technology, researchers working in the area of conservation genetics are able to obtain the genotypes or even the sequences of a representative sample of individuals from the population. It is of great importance to examine the genomic variants and genes that are highly preferred or pruned during the process of adaptive introgression or long-term hybridization. To the best of our knowledge, we are the first to develop a platform with computational integration of a relative identity-by-descent (rIBD) scores algorithm for introgressive mapping. The rIBD algorithm is designed for mapping the fine-scaled genomic regions under adaptive introgression between the source breeds and the admixed breed. Our rIBD calculation platform provides compact functions including reading input information and uploading of files, rIBD calculation, and presentation of the rIBD scores. We analyzed the simulated data using the rIBD calculation platform and calculated the average IBD score of 0.061 with a standard deviation of 0.124. The rIBD scores generally follow a normal distribution, and a cut-off of 0.432 and −0.310 for both positive and negative rIBD scores is derived to enable the identification of genomic regions showing significant introgression signals from the source breed to the admixed breed. A list of genomic regions with detailed calculated rIBD scores is reported, and all the rIBD scores for each of the considered windows are presented in plots on the rIBD calculation platform. Our rIBD calculation platform provides a user-friendly tool for the calculation of fine-scaled rIBD scores for each of the genomic regions to map possible functional genomic variants due to adaptive introgression or long-term hybridization.
Evaluation of Multi-Literacy Education Program at The Community Learning Activity Center in Palangka Raya City

This is related to the quality of one's life so that it can open up public insight. The purpose of this study was to analyze the evaluation of the program on the aspects of context, input, process, and product of the multi-literacy education program at Learning Center (PKBM) Luthfillah, Palangka Raya. PKBM is an educational facility provided to provide non-formal education for citizens. Evaluation of the program that has been implemented uses the Context, Input, Process, and Product (CIPP) model by analyzing the components of the context, input, process, and product of the Multiliteracy Education program implemented. This research is a type of qualitative research. The research instruments used were observation, interviews, and documentation. The results of the research show: (1) in the context aspect, the program implemented has fulfilled the learning needs of the students, and the program objectives can be achieved as expected; (2) in the input aspect, educators and program organizers already have the expected competencies. It's just that for the initial abilities of students, the basic requirements for ownership of the Sukma have not been met; (3) in the process aspect, the learning strategies used are in accordance with the conditions of the students, namely andragogic, practical, and thematic strategies; (4) in the product aspect, students have graduated from the advanced literacy education program and have been able to apply the learning outcomes that have been obtained. However, the student's graduation certificate has not been received in the form of SUKMA-L.
PENERAPAN ALGORITMA EXPECTATION-MAXIMIZATION (EM) DALAM MENGELOMPOKKAN POPULARITAS OBJEK WISATA DI MALANG RAYA BERDASARKAN INDIKATOR BANYAK PENGUNJUNG

The Malang Raya Area is one of the tourist destinations in East Java..Batu City is an area of Malang Raya which is visited by many for sightseeing. Given the development of tourism in Malang Raya, it is necessary to classify the popularity of tourist objects so that they can be used as a reference in policymaking by the tourism office and tourism object managers. In this study, the Expectation Maximation (EM) algorithm is used to determine the clustering of tourist objects in Malang Raya using data on the number of visitors. The results of grouping the popularity of leading tourist attractions in Malang Raya based on the number of visitors are divided into 5 groups, namely: Group 1: Selecta; Group 2: Balekambang, Wendit Baths, and Brawijaya Souvenir Tour; Group 3: Transport Museum, Coban Rondo, Animal Museum, Jatim Park, BNS, Picking Apples “Makmur Abadi and Agro Wonosari Tea Plantation; Group 4: Kusuma Agro Wisata, Kampoeng Kidz, Cangar Hot Springs, Eco Green Park, Predator Fun Park, Coban Rais Tourism Area, Mount Banyak, Mahajaya T-Shirt &amp; Souvenirs, Ngliyep and Selorejo Dam; Group 5: “Dammadhipa Arama” Temple, “Kaliwatu” Rafting, Batu Rafting, Coban Talun Tourism Wana, Tirta Nirwana Baths, Songgoriti Natural Hot Springs, Wonderland Waterpark, Friends of Water Rafting, Independent Apple Picking, Apple Agro Stone, Tourism Village.
PENERAPAN MACHINE LEARNING UNTUK PREDIKSI PENYAKIT STROKE

Stroke is a global health problem and one of the leading causes of adult disability. Early detection and prompt treatment are needed to minimize further damage to the affected brain area and complications to other parts of the body. Machine learning techniques can be used to predict stroke detection. Machine learning algorithms such as Naive Bayes, Support Vector Machine (SVM), K-Nearest Neighbor (KNN), and Decision Tree are compared in this study to obtain the best performance in predicting stroke. The implementation stages in this research consist of the pre-processing data, the application of the algorithm and the evaluation and analysis. The Naïve Bayes algorithm obtains better Accuracy, Precision, Recall, and F1-Measure values compared to other algorithms. The values of Accuracy, Precision, Recall, and F1-Measure obtained by Naïve Bayes are 93.93%, 88.23%, 93.93%, and 91.00%, respectively. So the conclusion of this study is that the Naïve Bayes algorithm has the best performance compared to the SVM, KNN and Decision Tree algorithms in predicting stroke.Keywords: decision tree, klasifikasi, k-nearest neighbor, naïve bayes, stroke, support vector machine
Educational Manga Series: Pseudo-Interactive Effect in Learning Mathematics through Modular Distance Learning

The education disruption has had and will continue to have substantial effects beyond education. The closure of schools worldwide became a signal to implement distance or remote learning. However, online learning modalities were associated with positive impact and effectiveness due to their feasible variables, such as assessment and interaction. Most learners still choose modular distance learning modality due to the lack of available materials and internet access. This study aims to develop an educational manga series in Mathematics that will minimize the learning gaps and create a pseudo-interactive effect on learners to increase their interest in reading and understanding printed modules. Mixed-Method Research Design, specifically sequential explanatory design, was used to ensure the successful implementation of the intervention continually. Data was collected and interpreted using google forms and a focus group discussion (FGD) afterward via google meet. Based on the findings, it was found that manga can help the learners grasp the meaning of the text better; as learning material, it can enhance understanding of the Mathematics concept and instruction better. The illustration and story help the learners increase their motivation and excitement due to their pseudo-interactive effect. This effect is described as the feeling of being part of the story. Therefore, it is recommended to use educational manga as learning materials in flexible learning options (FLOs) and courses that require practical experience.
Pengaruh Pemanfaatan Internet Dan Lingkungan Keluarga Terhadap Keefektifan Pembelajaran Daring Mahasiswa

The purpose of the research is to determine the effect of using the internet and the family environment on the effectiveness of online learning, knowing the use of the internet on the effectiveness of online learning, knowing the effect of the family environment on the effectiveness of online learning for students of the Faculty of Teacher Training and Education, Seberang Maret University, class of 2019 in the Kentingan campus area. . The research method is descriptive quantitative. The population is 1436 and the sample is 313 students. Questionnaires are used as a data collection technique. The data analysis technique used is multiple linear regression analysis using the SPPS version 23 program. The results obtained based on this study are: (1) There is a simultaneous significant effect between the use of the internet and the family environment on the effectiveness of learning which can be determined by the value of Fcount&gt;Ftable and sig&lt;0.05, namely 62.612&gt;3,024775 and 0.000 &lt;0.05. (2) There is a positive and significant influence on the use of the internet with the effectiveness of online learning as indicated by the value of tcount&gt; ttable, namely 4.456&gt; 0.967721., and (3) There is a positive and significant influence of the family environment on the effectiveness of online learning, namely by knowing that tcount&gt; ttable ie 7.971&gt;0.967721. Regression equation Y = 13,500 + 0,231X1 + 0,253X2
Semantic data model for knowledge representation and dissemination of cultural heritage site, Poompuhar

Among the ancient cities and ports of Tamil Nadu, India, Poompuhar is a historical and coastal port that emerged with the increasing maritime trade of the early Chola kingdom.The ancient trade town and the busy port of Poompuhar symbolize the Tamil culture and civilization up to 200 CE.The city was destroyed and washed away by big shore waves during AD 500.The submerged parts and scattered destruction remains have been identified in onshore and offshore excavations around the coastal lines of the Bay of Bengal in Tamil Nadu.Information on the port city can be found in various sources, such as archaeological evidence, historical references, coastal erosion data and Sangam Tamil literature.Here, a methodology is presented for a semantic representation of Poompuhar port city, integrating heterogeneous data to create a knowledge base by mapping and associating related entities.The knowledge base has been created using CIDOC CRM to represent Poompuhar events digitally.The experimental results of the ontology are verified exploring the submergence of Poompuhar use cases for onshore and offshore excavations through a knowledge graph.
Competence as an Important Paradigm of the Information Society

The article examines the issue of competence and the formation of competencies in the context of the information society and post-globalisation. It is hypothesised that education and socio-cultural reality are correlated. The work uses correlation methods, content analysis, and a review of scientific literature. The result of the study is the development of theoretical provisions and practical recommendations in the field of education. The findings can be used in pedagogy, andragogy, sociology and management theory.
Psikoedukasi Pengetahuan Menanamkan Respek pada Anak untuk Guru TK X

Not all of “X” preschool teachers apply the habit of saying please, sorry, thank you (TOMAT) in their daily life including in the school environment. Other than that, “X” preschool teachers also found not having enough knowledge on how to instill the habit on students in school. Therefore, the purpose of this study is to know the effectivity of psychoeducation to increase teacher’s knowledge on how to instill utterance TOMAT in children aged 5-6 with the total of participant included in this study is seven teachers (n=7). Effectivity of psychoeducation can be known through comparing scores between before and after psychoeducation is given. Wilcoxon Signed Ranks Test is used as method to test effectivity where significant results (p&lt;0,05) is found on both pre-test – post-test 1 and post-test 1 – post-test 2. This result indicating that psychoeducation used in this study is effective to increase teacher’s knowledge on how to instill utterance of TOMAT in children aged 5-6. The psychoeducation can still affecting teacher’s knowledge even after 3 weeks it ended. Limitation of this study is that some participants already have enough knowledge on the habit of saying TOMAT therefore even after psychoeducation is given, the increase in their knowledge score is not too much. This study implicates that the increase of teacher’s knowledge can be done through psychoeducation that is suitable with the need or the difficulty the teachers have.
Improved Imagery Throughput via Cascaded Uncertainty Pruning on U-Net++

The extensive use of machine learning inferences in real-life earth observation and remote sensing cases has grown over recent years. Network pruning has been carefully studied in various applications to speed up the machine learning workflow, but mainstream pruning strategies often focus on specific connection significancy rather than the sample difficulty. U-Net++ as a well-versed and capable semantic segmentation deep convolutional neural network architecture, as well as its equivalents, are all facing the challenge of overconfidence, which will create barriers for a robust uncertainty-based pruning strategy to be designed. In the following study, we analyzed the efficiency of deep neural networks and semantic segmentation in satellite imagery analysis, and proposed a new tailored workf low of dynamic pruning for U-Net++ by combining the ideas of network calibration and uncertainty and defining the inference complexity of network input samples. We tested and illustrated the capability of this new workflow and delivered a successful comparative study on its effectiveness on the DeepGlobe satellite imagery road extraction dataset and how it can greatly reduce the computational cost with little performance drop.
Kerusakan Lingkungan Akibat Sampah Kulit Kerang di Situs Kota Cina Medan

The China Town in the past was one of the important trading ports in the archipelago, this is proven by the abundance of findings from archaeological excavations at the site. The decline of China Town as a trading city is recorded in people's memories in the form of speech stories. The story that is quite well known and developed in the community that makes China Town abandoned by its inhabitants is due to the attack of kepah (a type of sea shell) that comes from the sea. As a result, people flocked to leave the city. This story continues to this day. This paper aims to explain scientifically the speech stories that developed in the community associated with data from archaeological research that has been carried out at the site. From the results of excavations carried out, it is found that in various locations, kitchen waste is almost always found in the form of concentrations of shells. This results in environmental damage in the form of river silting, and the closure of the soil surface due to shell waste. These two things make China Town uncomfortable to live in and then abandoned.
Pengelolaan Kawasan Bukit Kerang Kawal Darat dalam Pembangunan Berkelanjutan di Pulau Bintan

This paper examines management efforts in the Bukit Kerang Kawal Darat (BKKD) site area on Bintan Island, framing sustainable development goals (SDGs). There are indications that the BKKD site has not experienced any progress in the area, even though it has been more than ten years since the local government released the land. Identification of the potential of natural, human, and cultural resources in the BKKD area is important to be projected in the 2030 SDGs study. The SDGs study on archaeological sites is considered can help focus various parts of the most realistic and measurable by synthesizing based on Cultural Heritage Law, and Cultural Advancement Law. This paper uses inductive reasoning, starting with a discussion of all data from observations, interviews, and literature studies. The data was analyzed, interpreted, and designed as a simulation scoring method of readiness to achieve SDGs until 2030. A communication strategy is needed to produce a blueprint for measurable management stages within the framework of the SDGs until 2030 after the BKKD is registered as a cultural heritage. This is a practical and theoretical contribution to the study of Archeology for sustainable development.
Jejak Tinggalan Peralatan Obsidian Temuan Terbaru di Kawasan Danau Bandung Purba

The City of Bandung and its surrounding, was once a lake known as Bandung Purba Lake in the past. The current form is known as the "Bandung Basin". The area around the basin was assumed as the shores of the lake hence many remnants of past human activities were discovered. The dominant kind of discoveries found on the shores of the Bandung Purba Lake were obsidian tools, furthermore, other artifacts such as pickaxes and pottery also discovered. This article focuses on the obsidian tools. The existence of artifacts around Lake Bandung was adjusted to the life necessities and the availability of the materials. For this reason, this article will reveal the form of the remains made of obsidian on the site of the Bandung Purba Lake area. The method that being used is a descriptive method with an artifact-oriented analysis approach. The analysis showed that there were several forms of the remains such as flakes (used and retouched), core stones, sharp edges, knives/blades, and waste in the form of chips. Obsidian artifacts in the Bandung Purba Lake area can be grouped into two, the tool group and the non-tool group.
Developing a Scale of Motivation for Online English Language Education

The aim of this study is to develop a four-point Likert-type scale to measure online English language motivation levels of the students studying in an English preparatory department.After the literature review, a 21-item trial form was created and was applied to 235 students.First, factor analysis study was conducted, and it was observed that the scale consisted of five different factors.Then, in line with the expert opinions, the statements indicating attitude were converted into motivation; the revised 21-item scale was applied to 289 students.The data were evaluated by using SPSS and AMOS programs.Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to control the construct validity of the scale; Cronbach alpha internal consistency coefficient analysis was used to determine the reliability.As a result of the EFA it was seen that the renewed motivation scale had a three-factor structure.These three structures were named as "Language Skills", "Responsibilities" and "Attitudes".Afterwards, CFA was performed with the help of structural equation modeling, and the obtained fit index values showed good fit.The Cronbach Alpha internal consistency coefficient was obtained as 0.95 in the analysis performed to measure the reliability level of the scale with construct validity.As a result, it is found that the developed "Online EFL Motivation Scale" is a valid and reliable scale.