Reviewerly/exHarmony huggingface dataset:
The Importance of Blending Different Data Types to Train Machine Learning Classifiers for Sedimentary Structure Detection

Summary This study demonstrates that, by adding sketched interpretation data to photographic datasets of geological outcrops, we can improve the quality of sedimentary structure classification, even for smaller volume datasets. We blended raw outcrop photos with sketches of sedimentary structures to use as input into a Convolutional Neural Network (CNN) model which will predict and classify certain geological structures. The use of CNN can make geological classification easier for us by assisting in the collection of geological observations in seconds. Our work shows that the CNN model misclassified various geological features when trained only with one type of data (outcrop photos or geological sketches). The efficacy and novelty of the system described in this paper lies in the blending of two different data types (both outcrop photographs and geological sketches) when training our CNN model for geological feature detection. The use of the blended dataset in learning, at an optimal balance between sketches and outcrop photos (from 40% to 67% sketch proportion in the training dataset), results in fewer misclassifications and higher test accuracy of the model predictions of the sedimentary structures.
Testbed For Intelligent Agent: A survey

Revealing the features of the intelligent agent and its interactive behavior with complex environments whose events cannot be expected is a source of interest for researchers. What we will put in the hands of the interested person is to review key concepts in the design and implementation of test environments, noting the importance of the testbed, in addition to the knowledge bases required by these designs, presenting the definition of the intelligent agent and its features to be disclosed within the testbed. As for the types of test beds and their features, they have an important aspect in these papers.
Analysis of English Reading Materials Based on ICT for XI Graders of Classical Music Students

Vocational high school education has been a hot topic in Indonesia. It focuses on the development of students’ skills in specific fields and expects graduate students to be skilful and ready to work. English is one of the subjects that should equip students with particular knowledge and communication skills that support their work. However, the reading materials do not correspond to their vocational education needs and are not based on ICT, despite the goal of assisting students in gaining technical knowledge of specific skills. Teachers continue to rely on textbooks and have little interest in developing their own materials, despite the availability of ICT. The objectives of this study are to (1) identify and describe ICT competencies that are significantly owned by Classical Music Study Program grade 11 students, (2) identify relevant English reading materials for Classical Music Study Program grade 11 students and (3) construct relevant and potential ICT competencies in English reading materials for the Classical Music Study Program. The researcher will use a need analysis of ICT competencies and English reading materials for Classical Music Study Program. The result of this research exposed the ICT competency indicators, relevant English reading materials for Classical Music students, and ICT competency in English reading materials.
Modular Teaching Didactic Foundations To Responsive Web Design And User Experience Design

The article discusses a model of modular adaptive learning that combines the principles of computer pedagogy and frontal form of teaching the basics of user interaction design and web design through a two-dimensional layout technique in cascading style sheets. The value of the spatial-oriented approach to the formalization of the results of the design of spatial interfaces is substantiated. Much attention is paid to creating a holistic image of the perception of the processing of created and programmed blocks and containers. The author's methodology for creating semantic blocks of web pages in adaptive design and didactics of integrated learning to bring information to the basis of the semantic web are presented. The proposed teaching methodology must present a criterion for the presence of coherence and semantic significance, calculated experimentally or based on a large number of metrics worked out on the HTML attribute-tag system. The visually-oriented approach plays an important role in Scratch solutions used in device programming.
Aprendizaje en Ciencia y Tecnología con Metodología basada en el Conflicto Cognitivo

The work is based on meaningful learning as a form of elementary constructivism of cognitive pedagogy for basic education. The objective of the research was to determine the effects of cognitive conflict applied as pedagogical strategies of the MC / CC / RC / RE type [Motivation and conflict / conflict and construction of learning / feedback and conflict / feedback and evaluation], in science learning and technology. The method was quantitative and experimental, pure experiment type. The sample consisted of 120 schoolchildren 10 to 12 years old. We use a performance test and a list of competencies to verify learning. The results corroborate that the cognitive conflict applied in learning sessions of the MC / CC / RC / RE type, contribute to the increase in the learning of science and technology. We conclude that the effects are positive both in the variable and in the dimensions of inquiry, explanation and construction of technological solutions.
Field of Junctions: Extracting Boundary Structure at Low SNR

We introduce a bottom-up model for simultaneously finding many boundary elements in an image, including contours, corners and junctions. The model explains boundary shape in each small patch using a 'generalized M-junction' comprising M angles and a freely-moving vertex. Images are analyzed using non-convex optimization to cooperatively find M+2 junction values at every location, with spatial consistency being enforced by a novel regularizer that reduces curvature while preserving corners and junctions. The resulting 'field of junctions' is simultaneously a contour detector, corner/junction detector, and boundary-aware smoothing of regional appearance. Notably, its unified analysis of contours, corners, junctions and uniform regions allows it to succeed at high noise levels, where other methods for segmentation and boundary detection fail.
Kesulitan Siswa dalam Pelaksanaan Pembelajaran Daring: Survei di SDN 2 Mapin Kebak Tahun Pelajaran 2020/2021

This study aims to determine the level of factors that cause student difficulties in implementing online learning at SDN 2 Mapin Kebak in the 2020/2021 school year. The subjects in this study were classes II, III, IV and V, totaling 89 students, while the object was the students' difficulties in online learning. The data collection technique uses a questionnaire with a survey method. The data analysis technique used is descriptive quantitative with percentages. The results of the study generally show the level of factors that cause student difficulties in implementing online learning at SDN 2 Mapin Kebak for the 2020/2021 school year in the Very category of 0% (0 students), the High category 31.46% (28 students), the Medium category was 44.94% (40 students), the category was 13.48% (12 students), and the Very Low category was 10.11% (9 students). The principal can form a quality control team to monitor so that the online learning process can be carried out optimally. Teachers can also be given training related to the use of information technology in online learning. Furthermore, socialization to parents of students about their roles and responsibilities during the implementation of online learning. This is done to reduce the level of difficulty of the students, whether it is caused by factors from teachers, technology and students themselves.
Performance Comparison of Sensor-Programming Schemes According to the Shapes of Obstacles

MSRDS(Microsoft Robotics Developer Studio) provides the ability to simulate these technologies. SPL(Simple Programming Language) of MSRDS provides many functions for sensor programming to control autonomous robots. Sensor programming in SPL can be implemented in two types of schemes: procedure sensor notification and while–loop schemes. We considered the three programming schemes to control the robot movement after studying the advantages and disadvantages of the sensor notification procedure and the while-loop scheme. We also created simulation environments to evaluate the performance of the three considered schemes when applied to four different mazes. The simulation environment consisted of a maze and a robot with the most powerful sensor, i.e., the LRF(Laser Range Finder) sensor. We measured the required travel time and robot actions (number of turns and number of collisions) needed to escape the maze and compared the performance outcomes of the three considered schemes in the four different mazes.
Pengembangan media pembelajaran berbasis multimedia bagi Guru Madrasah Tsanawiyah (MTs) Madani Alauddin Kabupaten Gowa

The aims of this activity was to provide training for teachers in Madrasah Tsanawiyah Madani Alauddin Gowa about the use of computer-based learning media in the form of multimedia as a support in improving teacher professionalism and the quality of learning outcomes for students. The expected output targets in this activity are: (1) increasing knowledge about the use of multimedia to improve the quality of teaching and learning processes, (2) increasing productivity and creativity in developing teacher learning media MTs Madani Alauddin Gowa, (3) the percentage of interesting learning media quality of all subjects in the school curriculum, (4) the best multimedia-based learning media works. The ability of teachers to develop learning media is needed to enrich the media model that can be used in the learning process that is expected to improve the quality of students.
Clickbait Detection for Bahasa Indonesia Using Bi-LSTM

Clickbait usage has been increasing rapidly over the years along with the rise of online journalism. Since online publishers rely upon clicks in order to generate revenue, there is a growing trend of writing headlines with the sole aim of attracting clicks instead of delivering information. The problem of clickbait has raised concerns in the international community in recent years, however, the majority of studies are still focused on English and are still lacking in other languages. This research attempts to study the case of clickbait for Indonesian news, as well as develop an automatic detection model using machine learning methods. Following the lack of published datasets on Indonesian News Headlines, this research attempts to contribute by constructing an Indonesian news dataset that was extracted from 12 Indonesian publishers. The Aƒi?½A‚Â¢AƒÂ¯A‚Â?A‚Â½AƒÂ¯A‚Â?A‚Â½CLICK-IDAƒi?½A‚Â¢AƒÂ¯A‚Â?A‚Â½AƒÂ¯A‚Â?A‚Â½ dataset is consisted of 46,517 articles data, along with a clickbait corpus of 15,000 annotated headlines. Our labels shows that out of the 12 publishers, all publishers were detected of using clickbait, indicating the use of clickbait is already common practice. By using this corpus, a Bi-LSTM model was developed with its best model achieving 0.88 accuracy on testing. Finally, this research made use of the LIME explainer library (Ribeiro et al., 2016) in order to analyze and gain insight on why our machine learning model is able to classify clickbait and non-clickbaitClickbait usage has been increasing rapidly over the years along with the rise of online journalism. Since online publishers rely upon clicks in order to generate revenue, there is a growing trend of writing headlines with the sole aim of attracting clicks instead of delivering information. The problem of clickbait has raised concerns in the international community in recent years, however, the majority of studies are still focused on English and are still lacking in other languages. This research attempts to study the case of clickbait for Indonesian news, as well as develop an automatic detection model using machine learning methods. Following the lack of published datasets on Indonesian News Headlines, this research attempts to contribute by constructing an Indonesian news dataset that was extracted from 12 Indonesian publishers. The Aƒi?½A‚Â¢AƒÂ¯A‚Â?A‚Â½AƒÂ¯A‚Â?A‚Â½CLICK-IDAƒi?½A‚Â¢AƒÂ¯A‚Â?A‚Â½AƒÂ¯A‚Â?A‚Â½ dataset is consisted of 46,517 articles data, along with a clickbait corpus of 15,000 annotated headlines. Our labels shows that out of the 12 publishers, all publishers were detected of using clickbait, indicating the use of clickbait is already common practice. By using this corpus, a Bi-LSTM model was developed with its best model achieving 0.88 accuracy on testing. Finally, this research made use of the LIME explainer library (Ribeiro et al., 2016) in order to analyze and gain insight on why our machine learning model is able to classify clickbait and non-clickbait
METHODS USING THE 3DS MAX PACKAGE IN TEACHING PROJECTION DRAWING IN SCHOOL

It is known that spatial representations play an important role in the assimilation of such school subjects as geometry, physics, geography, etc. Their importance is great in labor training, production activities and technical creativity.
Progressive Fusion Network for Safety Protection Detection

In recent years, it leads to the occurrence of many accidents and huge economic losses, because the construction personnel do not wear safety protective equipment normatively. Therefore, safety protection detection becomes an important problem in the computer vision community. It is a challenging problem because the targets are usually very small, the background is usually very complex at construction site image. To solve these problems, we propose a progressive fusion network PFNet. In PFNet, we use a progressive fusion module to enrich semantic information and a feature enhancement module to enhance detailed information in feature learning. Therefore, we can obtain effective features for safety protection detection. To provide an evaluation platform, we create an image dataset, with 5430 images and careful annotations for safety protection detection. PFNet achieves detection accuracy of 63.7% mAP in our dataset, which is 3.6% higher than the baseline method. PFNet also achieves great detection performance on other datasets.
Language of Evaluation in President Joe Biden’s Statement on Afghanistan

This study tries to reveal evaluation language of Joe Biden in his political statement about Afghanistan through the use of appraisal resources specifically attitude. In conducting this study, the researchers employ descriptive qualitative method. Meanwhile, in collecting the data, researchers gained the data from the whitehouse.gov website purposively. A theory of appraisal which is developed by Martin & White (2005) was used to analyze the data. The result of the study shows that judgment is the highest number found in the data. Jo Biden mostly used judgment to indicate his emotion towards what happened in Afghanistan. Then it is followed by affect and appreciation respectively. Whereas, the findings of the gradability of attitudinal meanings show that in giving his statement, President Joe Biden tends to have high degree. It is shown in some part of the data that he tries to show his concern about Afghanistan’s condition. This gradability is described through affect, judgment and appreciation.
PEMODELAN MEDIA ABOVE THE LINE BAGI TAMAN BELAJAR KITA DI JAKARTA BARAT

Our Learning Park was established because of the anxiety of the owner because of the learning conditions during this pandemic for elementary school children in the area around his house. For the upper middle class, where parents, especially mothers, can accompany their children to study. Unlike the lower middle class, in addition to having difficulty buying quotas for online schooling, they also have difficulty managing time to accompany their children to study, because mothers have to participate in making a living to help their husbands' income. With these conditions, many children are neglected and cannot take lessons from online schools. Because of these conditions, Taman Belajar Kita was established, which aims to help parents who do not have time and are unable to teach their children at home. Due to the poor conditions, the location for the teaching place is still considered not very feasible. Seeing these conditions, we carried out community service activities at the Taman Belajar Kita location in accordance with our field, the Visual Communication Design Study Program, namely by making murals that aim to beautify and increase the enthusiasm of students and educators in carrying out their activities. We made the mural for three days, by painting directly using paint on the outside of the room on the wall right on the stairs going up to the classroom, using a brush tool. Keywords : quota, online school, mural
A Review on Various Ultrasound Image Despeckling Techniques

Ultrasound imaging is considered as one of the most widely used imaging modalities owing to its simple and non-invasive nature. However, ultrasound images are usually manifested with speckle noise, that acts as a hindrance in carrying out any further analysis or disease detection by the radiologists. Despeckling of these images is thus a very important phenomenon to carry out further studies by medical experts. It is of utmost importance that ultrasound images be despeckled, keeping in consideration that no information is lost from the images. This paper covers various despeckling techniques that have been designed for ultrasound images, making sure that no information is lost.
A Simple Post-Quantum Non-Interactive Zero-Knowledge Proof from Garbled Circuits.

We construct a simple public-coin zero-knowledge proof system solely based on symmetric primitives, from which we can apply the Fiat-Shamir heuristic to make it non-interactive. Our construction can be regarded as a simplified cut-and-choose-based malicious secure two-party computation for the zero-knowledge functionality. Our protocol is suitable for pedagogical purpose for its simplicity (code is only 728 lines).
Application Of The Role Playing Method To Improve The Speaking skils Of Class V SDN Temaji III Students

The purpose of this study was to improve speaking skills using the role-playing method of the fifth-grade students of Temaji III State Elementary School. This type of research is classroom action research conducted in two cycles. Each cycle consists of the planning, action, observation, and reflection stages using the role-playing method. The subjects of this study were students of class V SDN Temaji III in the 2019/2020 academic year, totaling 20 children. The object of this research is the students' speaking skills. Data collection in this study was carried out by observation methods, questionnaire methods, interview, and test methods and analyzed using quantitative descriptive analysis techniques and qualitative descriptions. The results show that in the first cycle the classical average score of speaking skills was 74, and the classical average score in the second cycle was 81. This indicates that there has been an increase in the speaking skills of the fifth-grade students of SDN Temaji III by using the role-playing method.
Performance And Assessment Of Undergraduate Students In Effective English Writing Skills

English is an essential language to learn becausemost of the science and technological education in India has based on English medium. Thus, the undergraduate students should have good English writing skills for their carrier development in global environment. The paper investigated a qualitative study of the thoughtful essays written by 60 undergraduate engineering students at various engineering colleges from Andhra Pradesh region to identify their problems in English writing skills. This paper focused on the challenges they face while doing so and endeavored to calculate the intensity of the problem areas. It is determined through this investigation that the undergraduate students need to enhance their writing skills. The samples of the research were the first and second semester students of English education department of various colleges of JNTU that produced undergraduate students in Andhra Pradesh region. The researcher divided the students into two groups based on the treatments, namely Merrill sprinciples of instruction (MPI) for an experimental group and direct instruction (DI) for the con trol group, respectively. Finally, experiments are conducted on these two groups with respect to the various English skills. The researcher observed the performance from the students and based on cumulative results, the use of Instructional model and specifically MPI improves the English Writing skills effectively and efficiently.
The Role of Technology and Innovation in Tackling Insecurity and Accelerating Development in Nigeria

The perpetual rise in Insecurity and breakdown in the socio-economic development in Nigeria call for serious concern among researchers, policymakers, and the general public over decades. The wanton distractions of lives and properties posed by Boko Haram insurgency, banditry and kidnapping, pipeline vandalization, headsmen, and farmers clashes, as well as various crises in different parts of Nigeria, are spinning out of control which can lead to anarchy if not addressed and arrested. This paper, therefore, examines the role of technology and innovation in tackling insecurity and accelerating development in Nigeria. The study relied on secondary sources and data were sourced from journals, magazines, articles, textbooks, and personal experience. The Neo-Malthusian theory developed by Samuel Van Houten (1877) was used to analyze the reason behind ceaseless rises in insecurity and economic deterioration in Nigeria. As Nigeria is bedeviled with the challenges of insecurity, the paper found that Technology and Innovation would help Nigeria to counter and reduce its insecurity drastically, diversify its economy to mention just a few. However, the research identified some challenges that are militating against the innovation and technological advancement in Nigeria which include brain drain (migration of skilled personnel to developed countries), shortage of skills in science, research, and innovation, among others. To assure security and economic development in Nigeria therefore, the study recommends different regulations of combatting insecurity including human development-centered growth perspective and equitable allocation of resources, empower youths with the necessary skills, and paying more attention to innovations, technology, and implementation of existing research outcomes among others.