Reviewerly/exHarmony huggingface dataset:
Morphometric Analysis of the Hasdeo Subbasin Using Alos Palsar Imagery

"Morphometry" is the analysis of forms that presents a quantitative description of a landform. To assess the Hasdeo subbasin's hydrological features and water potentials based on the morphological characteristics, morphometric analysis of the Hasdeo subbasin was conducted in the current study. ALOS Palsar DEM data were used to reveal details on the Hasdeo subbasin's morphometry. Spatial information from Geographic Information Systems (GIS) was utilized to conduct the study. The linear, areal, and relief characteristics of the basin are taken into account as morphometric parameters for the analysis. The Hasdeo subbasin contains a river network that is classified as being of 6th order (according to Strahler's classification) and has a dendritic drainage pattern, according to morphometric analysis of the river network and the subbasin. The calculated values for the bifurcation ratio (1.93), drainage density (0.63), circularity (0.32), elongation (0.46), form factor (0.16), and stream frequency (43.86) were obtained in that order. This value demonstrated the subbasin's length, which results in low peak flows for a longer time, a significant danger of soil erosion, and a basin's extensive hydrographic network with numerous tributary streams that respond quickly to precipitation. Prioritizing a region based on morphometric analysis is very valuable.
A feature extraction and matching method in large parallax scenes

A feature point extraction and matching algorithm based on affine transformation space is proposed to address the shortcomings of existing feature extraction and matching algorithms in large view scenes with few effective matching points and slow matching speed. The algorithm first constructs the affine change space to simulate the viewpoint change and obtains the affine invariance; then avoids the feature point detection in the invalid region by dividing the valid region; in the feature description stage, the ORB algorithm is incorporated into the affine change space, while the gradient contrast information of multiple directions in the feature point sampling region is fused to obtain the final binary descriptor. Through experiments on large-view datasets and sequence images, it is demonstrated that the algorithm has better matching effect in large-view scenes, and also has more advantages in time efficiency.
AN ATTEMPT TO DEVELOP MULTIPLE INTELLIGENCE-BASED TEACHING MATERIALS: NEED ANALYSIS AND RECOMMENDATIONS

Teaching material is important to be applied in the teaching and learning process. It is supposed to be related to the student’s needs and traits. Nevertheless, there are several appropriateness of worksheet compiling as supporting material. The research in this paper attempted to find out the need for Multiple Intelligence-based student’s worksheet developments and offer possible recommendations. It employed a qualitative approach and involved 13 English teachers as respondents. They were from selected elementary schools located in various regencies in Central Java. A set of questionnaires was administered and delivered online through Google Forms. It is provided a number of closed and open-ended questions related to the existing curriculum, competency, media and activities, students’ characters, and challenges in compiling the student’s worksheet. The data were analyzed qualitatively. The results reveal that there was a lack of compulsory curriculum and competency, appropriate activities, and environmental interactions. Thus, it is recommended for teachers to take a well-planned curriculum; various activities connected to parental supports, realia, digital tools; and students’ personal traits in developing students’ worksheets. It is a reference to promote a better quality of Teaching English to Young Learners.
A Systemic Functional Linguistic Analysis of Clauses Relationship in Luke Gospel Text, Janji Baru Using Kupang Malay

This paper reports on a functional linguistics study of clauses relationship in which it is included as textual meta function of meaning. This textual metafunction is on the level of lexicogrammar. Semantic sequence of figures is realized by a clause complexes series. This paper focused on relationship types between clauses, interdependency and logico-semantic relationship. Data were taken from A Bible, New Testament using Kupang Malay called Janji Baru, especially in Luke of Gospel text. The analysis revealed that parataxis used in text covered coordinate conjunctions such as, deng ’and’, ma, ‘but’, jadi/ko ‘so, for’, ais ju ‘then’. The hypotaxis used subordinate conjunctions, such as, kalo ‘if’’ tagal ‘because/since’, te ‘cause’. The use of parataxis and hypotaxis indicates that semantic sequence is coherence in which conjunctions used in text are usually repeated. It is the same as the use of logico-semantic, such as expansion and projection. The expansion consisted of elaboration, extension, and enhancement. The projection consisted of locution and idea that related to phenomena of a higher order of experience. The idea used verbal process, such as, kastau bilang ‘tell/say’, manyao bilang, ’answer’, tanya bilang ‘ask’, etc. This fact indicates that the idea stated was stressed by using serial verbs or usually a verb was ended by other verb’ This fact indicates to attract listeners’ attention. The locution used mental process, such as, rasa ‘feel’ ‘inga’ ‘remember’. Thus, it can be stated that the use of interdependency and logico-semantic relation was aimed to keep the semantic sequence and text coherence.
Pengembangan E-LKPD Berbantuan Android pada Mata Pelajaran IPA Kelas VIII di SMP

The background for the development of the Android-assisted E-LKPD was that the science practicum activities in the laboratory could not be carried out on time because they had to take turns with other classes, and the practicum tools were not qualified to support science learning. Teachers use teaching materials such as textbooks and LKS. Textbooks only contain text and pictures, cannot contain videos and animations that support it so that students do not understand the material and have difficulty relating learning to everyday life. In science learning itself, there are many discussions that require animation, if you are only guided by printed books, what is conveyed will not be realized. The purpose of this study was to produce valid and practical android-assisted E-LKPD in Class VIII science subjects in junior high schools. The type of development used is Research and Development (R&amp;D). The development model used in this study uses the model proposed by Borg and Gall up to 5 stages of development. The data obtained will be analyzed using a Likert scale. The development of the Android-assisted E-LKPD was assessed by 2 media validators, namely lecturers from the Department of Curriculum and Educational Technology and material validators, namely Science Subject Teachers at SMPN 3 Pariaman. The practicality assessment was carried out by 15 class VIII students of SMPN 3 Pariaman. The product validity test results for the media aspect are categorized as "Valid" by obtaining an average score of 4 from validator I and 4.93 from Validator II. The results of the validity assessment for material aspects are categorized as "Very Valid" by obtaining an average score of 4.89. The practicality test results obtained obtained an average value of 4.68 in the category of "Very Practical". Thus the development of Android-assisted E-LKPD in science subjects for grade VIII in junior high schools is appropriate to be used as a learning medium and to support the learning process as well as a learning resource for students.
A Comparative Study on the Causative Alternation in Chinese and Japanese

This paper introduces the causative and anti-causative alternation in Mandarin Chinese and Japanese respectively.Firstly, the verbs which are allowed to appear in the causative alternation in Mandarin Chinese and Japanese are stable, although they are realized in different manners.In Japanese, the causative alternation is realized through the morpheme markings either from transitivization or intransitivization; in Mandarin Chinese, the resultative verb compounding is usually applicable in the causative alternation, as well as the very rare mono-morphemic verbs, as widely discussed in existing literature.Secondly, the derivational and non-derivational controversy of the causative alternation is introduced, and this paper adopts a non-direct-derivation-relation between the causative and anticausative alternants in both languages, both of which are derived from a common base: Cause[√Root+Theme].The [√Root+Theme] base expresses a resultant state, and the Cause predicate introduces a causal relation between a causing event and a resultant state.They only differ in the presence or absence of a Voice projection, which is added in the causative alternant, but lacks in the anti-causative alternant.The function of the eventive head Voice is to introduce an external argument into the causative alternant.The typology of the causative alternation applies in both Mandarin Chinese and Japanese, although the morphemic inflectional properties vary across languages.
ITB International Geothermal Workshop (IIGW 2022) Peer review declaration

Type of peer review: Single-blind Single-anonymous: authors' identities are known to the reviewers. Reviewers' identities are hidden from authors Criteria used by Reviewers when accepting/declining papers. (i) Technical criteria: In this criterion the scientific merit; notably scientific rigour, accuracy and correctness considered. Clarity of expression; communication of ideas, readability and discussion of research scope and suitable referencing. (ii) Scientific criteria: Originality and motivation; all papers should clearly demonstrate the scientific interest of the results. The significant parts of the manuscript should not have been published or being with any sort of plagiarism. (iii) Presentation criteria: The tittle should be adequate and appropriate for the scope of the article. Same applies the abstract must contain the essential information of the article and complete with a brief elaboration of background, problem scope, results, discussion and conclusion. Moreover, diagrams, figures, tables and captions should be essential and clear. Text and mathematics: Should be briefly and clear. There are opportunities for authors to resubmit articles after revisions Conference submission management system: Submission management system used emails exchanged between authors and Conference Technical Committees. First, Call for Abstracts were announced, and then papers are collected and reviewed. Authors whose abstracts/papers are accepted are prepared for publication and presentation. o Number of submissions received: 13 o Number of submissions sent for review: 13 o Number of submissions accepted: 11 o Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): 84.6 o Average number of reviews per paper: 2.46 o Total number of reviewers involved: 32 Later, another selection process for existing received and accepted papers were carried out again to be published at IOP Proceeding Online. Paper review process were conducted once again in order to refine the selected paper quality to be published online. This further review process was conducted via Morressier paper management system in order to track the reviewing process and to ensure transparency. Additional information on review process and plagiarism check system: o Papers were checked and assessed by academic and/or professional reviewer, each with wealth experiences on their own subject field o Authors signed document stating the originality of work in their paper o Conference Technical Committee performed basic checks using tools and guidance from: ▪ Plagiarism detection (Wikipedia.org) ▪ Plagiarism.org ▪ Turnitin.com Contact person for queries (after event): Suryantini, Dr. Eng. Chairperson 11 th IIGW 2022 Geothermal Geologist Geology Study Program FITB and Geothermal Graduate Study Program FTTM Institut Teknologi Bandung (ITB) Email: ninik_suryantini@yahoo.com; suryantini@itb.ac.id Phone: +62 813 9230 1388
Experiencing Literature in the Metaverse: Focusing on the design of Chinese classical prose class

This study explores the use of the Metaverse platform ZEP as a novel teaching and learning method for Chinese classical prose education in universities. In today's technological society, Chinese classical prose has excellent educational value but is not fully utilized. This study identified the biggest problem of current Chinese classical prose education as the lack of interest among learners and introduced the Metaverse platform on a trial basis to supplement traditional teaching methods. The Metaverse platform focused on in this study is the ZEP, which was created with Korean technology. The study selected the work ｢Hu xin ting kan xue(湖 心亭看雪)｣ of Zhang Dai(張岱), a late Ming dynasty Xiaopin(小品) that fits the space and volume of work. The same mechanism as the appreciation through text reading was used in this paper to implement the work in the ZEP space. This study aims to arouse learners’ curiosity, interest, and even fun by utilizing innovative tools in teaching and learning Chinese classical prose. From this, the significance of the study can be found in enhancing learners’ engagement with Chinese classical prose.
Identification of distorted optical signals based on reservoir computing

In this paper, we adopt a double-delayed parallel reservoir computing scheme to identify the noise-interfered distorted optical signals with IQ modulation formats (QPSK, 4QAM, 8PSK). Influences of different input layer masks and signal-noise-ratio (SNR) are investigated in detail. Results demonstrate that the proposed photonic reservoir computing can achieve over 97% identification accuracy for distorted QPSK-4QAM or QPSK-8PSK signal sequences.
Conducting Socially Aware and Value Oriented Investigations: a Case Study on the Violence Against Children and Adolescents

In challenging social contexts of technology design, such as those involving fighting the violence against children and adolescents, the consideration of human values is critical, as they influence people's social and cultural lives. Considering values when understanding a social problem is not a trivial activity due to the difficulty of working with abstract concepts, the complexity of people's lives, and the lack of artifacts and recommendations to support designers in this task. Drawing on the Socially Aware Design approach, this paper describes the use of value-oriented artifacts to understand the problem and to identify requirements for the design of a computational solution in this context. As a result, the problem of violence against children is characterized in a socially-aware manner: 58 stakeholders were identified in the problem domain, which led to an analysis of 60 challenges of the violence impact and of 31 proposals of solutions were mapped to face these challenges. Stakeholder’s values in the fight against violence context were identified, which enabled the identification of 43 value-oriented requirements for potential technological solutions for the context.
APPLICATION OF THE WORD SQUARE LEARNING MODEL TO IMPROVE LEARNING ACTIVITY AND STUDENT LEARNING OUTCOMES AT SMAN 11 PANGKEP

In this increasingly modern era, it requires teacher professionals to be able to cultivate varied learning models in each subject so that students are not saturated while following the existing learning process. This study aims to improve student activity and learning outcomes through a word square learning model at SMA Negeri 11 Pangkep. This research is a type of classroom action research (PTK). The subjects of the study were class XI students totaling 33 students. Data collection techniques are carried out by means of observation, tests, and documentation. Data analysis techniques use analytical descriptive analysis. The results showed that 1) The percentage of student activity increased each cycle. Where in the first cycle student activity is in the less active category and increases in cycle II in the very active category, 2) The completeness of student learning outcomes increases every cycle. Where in cycle I it was 33% with an average learning outcome of 66.9 and increased in cycle II by 81% with an average learning outcome of 85.7. Thus, the conclusion is that the application of the word square learning model can increase the activeness and learning outcomes of economics subjects for class XI students of SMA Negeri 11 Pangkep.
Feature Extraction Method using HoG with LTP for Content-Based Medical Image Retrieval

An accurate diagnosis is significant for the treatment of any disease in its early stage. Content-Based Medical Image Retrieval (CBMIR) is used to find similar medical images in a huge database to help radiologists in diagnosis. The main difficulty in CBMIR is semantic gaps between the lower-level visual details, captured by computer-aided tools and higher-level semantic details captured by humans. Many existing methods such as Manhattan Distance, Triplet Deep Hashing, and Transfer Learning techniques for CBMIR were developed but showed lower efficiency and the computational cost was high. To solve such issues, a new feature extraction approach is proposed using Histogram of Gradient (HoG) with Local Ternary Pattern (LTP) to automatically retrieve medical images from the Contrast-Enhanced Magnetic Resonance Imaging (CE-MRI) database. Adam optimization algorithm is utilized to select features and the Euclidean measure calculates the similarity for query images. From the experimental analysis, it is clearly showing that the proposed HoG-LTP method achieves higher accuracy of 98.8%, a sensitivity of 98.5%, and a specificity of 99.416%, which is better when compared to the existing Random Forest (RF) method which displayed an accuracy, sensitivity, and specificity of 81.1%, 81.7% and 90.5% respectively.
The Impact of Teachers’ Inquiry-based Instruction Method on The Academic Performance of students in Kunar University, Afghanistan.

The motivation behind this study was to investigate the effect inquiry-based instruction methodologies had with respect to students’ achievement. Besides, the review recognized a university that showed elevated degrees of performance in the Sayed Jamaluddin Afghani university, Kunar province 2022. These recognized university lecturers, who were lined up with detailed victories, were welcome to take part in this review. The participants who partook in the review gave a record of the educational methodologies operated among those students who generally showed elevated degrees of achievement. The collected information permitted the researcher to sum up the picked techniques and besides report on the serious level of recurrence in which request-based methodologies were utilized. It was presumed that request-based educational methodologies were successful systems lined up with successful students.
Peer Review Statement

All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the Professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Single Anonymous • Conference submission management system: EasyChair and Morressier • Number of submissions received: 155 • Number of submissions sent for review: 155 • Number of submissions accepted: 128 • Number of accepted papers from the conference submitted to IOP: 84 • Number of papers accepted by IOP: 61 • Acceptance Rate (Submissions Accepted / Submissions Received × 100): 72.6 % • Average number of reviews per paper: 3.17 • Total number of reviewers involved: 82 • Contact person for queries: Name: Wayan Suparta Affiliation: Institut Teknologi Nasional Yogyakarta Email: wayan@itny.ac.id, conser@itny.ac.id * means value has been edited
Improved Adaboost-Camshift Face Tracking System in Complex Background

With the rapid growth of science and technology, people pay more and more attention to pattern recognition and computer interaction. Therefore, in the last few years, face detection and tracking technology in video sequence has become a hot topic for people to study. Face tracking detection has a wide application prospect in human-computer interaction, intelligent monitoring, video conference and other aspects. In this paper, the problem of face tracking in video sequences is divided into two aspects: face detection and moving object tracking algorithm. In the face detection problem, the face detection based on Adaboost algorithm is described in detail, and the three-frame difference method is added to make the algorithm better and enhance the speed of face detection. In terms of moving object tracking algorithm, Camshift face tracking algorithm based on color histogram is adopted, which is not affected by the shape and size of the target and has good real-time performance. However, under the influence of color interference and occlusion, the algorithm will make tracking errors. Therefore, Kalman filter is introduced. The algorithm can directly delineate the candidate areas of face to be detected, so as to ensure the feasibility of face tracking. The simulation video image face tracking system is verified by Matlab software. The experimental results show that the system can accurately detect and track the faces in the video image sequence, not only in the simple background, but also in the complex background and multiple faces can also be well detected and tracked, and the tracking ensures real-time performance.
A probabilistic, and expanding Universe

Context: In this study, we embrace information by presenting important concepts of abstract information field theory, probabilities, and probabilistic dimensions, in the view of functors of actions theories and other abstract theories. Methodology: The methods used are the presentation of a collection of manifold-metric pairs, probabilistic notions, simple topology, and Einstein-Boltzman equations and the combination of this collection. Results: These combinations result to different flavours of an expanding sub-manifold and metric systems describing simpler dynamics of space around massive objects. Furthermore, we derive the equation of motion of a simplified gravity model in a probabilistic expanding Universe. We further introduce the notions of probabilistic actions and concepts of novel categories of abstract field-particles, such as the probablons and informatons. Conclusion: We conclude that the derived equations are the first steps towards a concrete description of a probabilistic gravity, and a probabilistic expanding Universe descriptions.
APPLICATION OF THE MODEL 5E TO DESIGN A TEACHING PLAN FOR THE TOPIC “WHAT ARE THE CHARACTERISTICS OF WATER?” IN 4TH GRADE SCIENCE SUBJECT OF VIETNAM IN STEM EDUCATIONAL ORIENTATION

STEM education is an educational model based on the interdisciplinary integration of science, technology, engineering and mathematics to solve real-life problems (Bentley et al., 2022; Kaleci &amp;amp; Korkmaz, 2018). When implementing STEM education in primary schools, there are many different approaches: discovery model, engineering design model, 5E, 6E, TRIAL model (Chacko et al., 2015; Kaleci &amp;amp; Korkmaz, 2018; Matsuura &amp;amp; Nakamura, 2021; Stohlmann et al., 2012). The selection of a model to apply appropriately is important, depending on the student, the actual teaching conditions, the teaching content, etc. The article analyzes the content of Science in primary school, teaching practice in Vietnam and illustrates the design of a specific teaching plan for grade 4 students on the basis of applying the model 5E to organize STEM education-oriented teaching in order to provide teachers with an approach when designing science teaching plans for primary school students.&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/soc/0077/a.php" alt="Hit counter" /&gt;&lt;/p&gt;