Reviewerly/exHarmony huggingface dataset:
Beynon Masculinity: Puya ke Puya and the Trilogy of Darah Emas

This article entitled “Beynon Masculinity: Puya ke Puya and The Trilogy of Darah Emas” explored that there were masculinity issues on those novels. By descriptive analysis and applying Beynon key factors concept which shapes masculinity, the article gives basic description that masculinity had many variations. It depends on these Beynon’s key factors: historical location, geographical location, age and physique, sexual orientation, education, status and lifestyles, ethnicity, religion and beliefs, culture and subcultures, as well as class and occupation. As the result, there were massive masculinity, but it was not homogeny. The two main factors, historical and geographical locations were the longest line on shaping masculinities because of histories traces of their ancestors. The others were age and physique, ethnicity, status and lifestyles, class and occupation, also culture and subculture had come later into the men’s lifes. However, the last three factors, sexual orientation, education, also religion and beliefs were not dominant because of lacking informations about them on the stories. Keywords : Beynon, masculinity, tradition, key, factors.
PERENCANAAN STRUKTUR JARINGAN DAN KEBUTUHAN AIR BERSIH UNTUK PERUMAHAN DI DESA MORELA-KECAMATAN LEIHITU : (Network Structure Planning and the Need of Clean Water for Housing in Morela Village-Leihitu Sub-District)

The need for clean water in each area is very urgent, especially in rural areas that lack springs. Discussions are being carried out regarding drinking water needs in Morela village community housing, calculating the capacity requirements for drinking water volume in Morela Village housing and drawing of the existing clean water distribution system installation network. in Morela Village. The study used a quantitative analysis approach to processing primary data obtained from field data samples through the survey to be analyzed. The projection of drinking water until 2027 is 12.449 liters / second, while the availability of water sourced from rivers is based on a discharge analysis of 10.825 liters / second. The process of connecting the flow of clean water from the river to the Morela Village housing, through brouncaptering using the GPS Medium A pipe. 150 mm, 100 mm and 75 mm, water is flowed to a distribution reservoir measuring 6.30m x 8.10m x 2m and from the reservoir the water is flowed through a diameter pipe. 150 mm, 100 mm and 75 mm and flowed directly to the main pipe dia. 50 mm to the housing.
An Image Registration Algorithm Based on Slope and Distance Ratio Constraints

In order to solve the problems of long time and low accuracy in scale-invariant feature transform (SIFT) image registration, an improved SIFT image registration method based on slope and distance ratio constraints is proposed in this paper. First, the images are registration with SIFT algorithm, and a special type of error match elimination method is given. Then the matching results are screened according to the matching slope, and finally the matching results are purified by the constraint of distance ratio. Experiment results show that the method has good robustness and can reduce the time of matching process effectively in different images.
PEMBELAJARAN MENULIS TEKS EKSPLANASI DENGAN MODEL KOOPERATIF TIPE PICTURE AND PICTURE PADA SISWA KELAS XI SMK

Writing skills are generally regarded as difficult by students. In writing learning, many students have difficulty in pouring ideas into written language and not much vocabulary is mastered. This is based on the value of previous explanatory text writing skills getting an average value of 64.04 which certainly states that the students' ability in writing explanatory texts is still low. The formulation of the problem in this study is how the difficulties faced by students in writing explanatory texts learned in class XI. The purpose of this study is to improve students' ability to write explanatory texts using cooperative models of picture and picture types in the learning process. The method used by researchers is descriptive qualitative aims to describe what is learning to write explanatory texts by using a cooperative model of the type of picture and picture in class XI SMK students. This final result gets an average value of 80.13 which is the effectiveness of the application of the cooperative model of the picture and picture type in learning to write explanatory texts.
LibGuides: Humanism Course II: The Anti-Racist Challenge to Humanist Epistemology (HU412): Course Reserves

Resources for Humanism Course II: The Anti-Racist Challenge to Humanist Epistemology (HU412), Fall 2021/22
LOW-COST TEMPERATURE AND HUMIDITY MONITORING SYSTEM IN HOSPITAL AMBIENCE

A temperature and humidity monitoring system is to check and show the climaticvariances of the hospital’s ambience continuously as well as communicate with the professional responsible for obtaining this type of information. The study proposes a low-cost system that read both temperature and humidity through a capacitive sensor with an accuracy of ±2% relative humidity (max ±5%) and temperature precision &lt; ±0.5 o Celsius for monitoring hospital departments such as Central Sterile Supply Department, Transfusion Agency and Surgical Center. The microcontroller receives the data from the sensor and sends it to the internet communication module, which shows the information to the user. The method used nowadays is done by manually populating tables which offer the risk of human error or data loss. The proposed system also consists of a web platform and an Android application that shows the real-time variables and generates reports of readings and alerts to unwanted variations. It could be able to modernize the process of monitoring the hospital’s departments using the Internet of Things (IoT).
Policy Scenarios for Improving Education System

The purpose of this study is to determine the areas of education system open for improvement and solutions for improving these areas through policy scenarios which are built by school administrators and teachers participating in the training of education policy development.Qualitative research methods and techniques were used in the study.The participants of the study consisted of 36 school administrators and teachers working at schools in Gaziantep province of Turkey.Participants of the study got training regarding education policy development which lasted 3 weeks.The stages of the training were about defining policy problem, solution types related to the developed education policies, policy types, policy theories and policy tools, respectively.After completing the training, school administrators and teachers were asked to determine a problem in education system they consider it as the most important one and writing a policy scenario including the stages of policy development training in order to solve the problem they determined.Content analysis was applied on the policy scenarios built by school administrators and teachers.Problems of education system, policy recommendations for solving these problems and how to implement these policy recommendations were revealed through content analysis.As a result of the study, it is concluded that education policies developed by school administrators and teachers were focused on structural change of education system and professional development.Results of the study were discussed within the scope of scientific context, structure and practicability of recommended policies.
Comparative Analysis of AHP, TOPSIS, VIKOR , Fuzzy-AHP for Computerized Maintenance Management System Selection for Manufacturing Industries

Manufacturing industries in India are facing tough competition due to automation in maintenance, its increasing cost and uncertainties involved with the maintenance function. To eliminate maintenance problems, reducing downtime, enhancing productivity and cost optimization in any organization, proper selection and prioritization of Computerized Maintenance Management System (CMMS) criteria is the need of the hour. When CMMS criteria properly selected and implemented yields many benefits which include increased productivity, enhanced organizational achievements, improved safety, health & environment conditions and reduced costs of assets. CMMS is software installed to manage all the maintenance functions like planning, scheduling, managing, and tracking maintenance work orders associated with equipments and other facilities. A questionnaire was designed for the CMMS criteria identifications and an industrial survey was conducted. This paper presents a framework for the selection and prioritization of seven independent CMMS criteria with different multi-criteria decision-making methods like Analytical Hierarchy Process, Technique for Order Preference by Similarity to Ideal Solution, Vlse Kriterijuska OptimizacijaI Komoromisno Resenje and Fuzzy-AHP. Decision matrix is obtained from the field experts in the area of CMMS. Further, the rank prioritization of CMMS criteria is done with the above techniques. Moreover, and CMMS criteria are evaluated and compared to arrive at the final decision for the optimum selection of CMMS implementation in the industries. Comparison has been madebetween all the methods to validate the outcomes of the rankings of the important criteria.The results of the analysis determined the similar ranking patterns from the above techniques.
Multimodal Machine Learning for Video and Image Analysis

In this talk, we will first discuss multimodal ML for video content analysis. Videos typically have data in multiple modalities like audio, video, and text (captions). Understanding and modeling the interaction between different modalities is key for video analysis tasks like categorization, object detection, activity recognition, etc. However, data modalities are not always correlated -- so, learning when modalities are correlated and using that to guide the influence of one modality on the other is crucial. Another salient feature of videos is the coherence between successive frames due to continuity of video and audio, a property that we refer to as temporal coherence. We show how using non-linear guided cross-modal signals and temporal coherence can improve the performance of multimodal ML models for video analysis tasks like categorization. We also created a hierarchical taxonomy of categories internally. Our experiments on the large-scale YouTube-8M dataset show how our approach significantly outperforms state-of-the-art multimodal ML model for video categorization using our taxonomy, as well as generalizes well to an internal dataset of video segments from actual TV programs. The next part of the talk will briefly discuss our work on explainability of multimodal ML models. We will conclude the talk by outlining other multimodal ML applications like incremental object detection and visual dialog, and discuss potential applications of multimodal ML to various domains.
Variation Of Rotation In Chaos Game By Modifying The Rules

&lt;span&gt;The core concept of fractals is the process of rearranging identical components that have a large amount of self-similarity. One example of fractals is the Sierpinski trianglecan be generated using the chaos game method. This method is a form of play in drawing points on triangles that have certain rules and are repeated iteratively. This research will modify the rules of chaos game triangle with the addition of various rotationswith the center of rotation at one, two, three, four, and five reference points. The visual results obtained are in the form of fractals because they have self-similarity properties and a collection of new points formed experiences rotation with the center of rotation based on the selected reference point with the direction of rotation based on the rules. The visual results of the rotation &lt;/span&gt;&lt;span&gt;θ&lt;/span&gt;&lt;span&gt; angle are visually symmetrical about the axis-y with the visual results of the rotation 360&lt;/span&gt;&lt;span&gt;⁰&lt;/span&gt;&lt;span&gt;-&lt;/span&gt;&lt;span&gt;θ&lt;/span&gt;&lt;span&gt; angle at one, three, four, and five reference points as the center of rotation. At two reference points as the center of rotation it is obtained that there are two parts that are visually symmetrical about a certain line. Visual results of rotation 360&lt;/span&gt;&lt;span&gt;⁰&lt;/span&gt;&lt;span&gt; angles at one, two, three reference points as the center of rotation have a shape similar to the Sierpinski triangle. Whereas at four and five points of reference as the center of rotation has a shape similar to the Sierpinski triangle.&lt;/span&gt;
One-shot profile measurements for a rotating object using Fourier transform profilometry

A one-shot method to describe the 3D shape of a rotating object is evaluated. A sinusoidal fringe pattern is illuminated on the rotating object. Fringes on the rotating object observed by the digital camera are blurred by the motion. The blurred fringes are analyzable to retrieve the profile of the rotating object.
SUPPORTING THE MANAGEMENT OF HUMANITARIAN OPERATIONS CONCERNING MIGRATION MOVEMENTS WITH REMOTE SENSING

Abstract. The various forms of humanitarian operations include operations concerning the management of migrant movements and refugees. Managing those operations is non-trivial. A large number of refugees have to be welcomed, registered, forwarded, and be given supplies and accommodation. This is due to a lack of current and sufficient information about the refugees, making planning and execution of operations challenging, expensive and cumbersome. The earlier information about the refugees is available, the better. The method “Dwelling Detection”, conducted on satellite imagery of refugee camps, can provide large-scale heads-up information fast, complementing information already available to operators at the ground. With “Dwelling Detection”, dwellings in a camp and their extent are detected using machine learning methods. An estimate of inhabitants of the camp is computed using the number and the extent of the detected dwellings. Our workflow uses a Faster R-CNN, an object detection network. To train the network, we developed a fast training data annotation workflow. We use the dwellings detected by the faster R-CNN to estimate a number of inhabitants. The quality of the analysis can be evaluated by a confidence-metric, computed out of the results of the Faster R-CNN. The results can be used in humanitarian operations. We tested the workflow using different configurations and data. From those tests, we give recommendations on how to build a dwelling detection classifier. We propose to humanitarian operators to build a dwelling detection classifier according to our recommendations and use satellite images in actual humanitarian operations. This could help to reduce stress for all people involved in a humanitarian (crisis) situation.
EKSPLORASI HASIL BELAJAR MAHASISWA MELALUI PENGGUNAAN KUIS DAN TUGAS PADA E-LEARNING EDMODO DI ERA PANDEMI COVID-19

This study aims to describe student learning outcomes through quizzes and assignments on e-learning edmodo in the covid-19 pandemic era. This study also aims to determine the implementation of learning through edmodo by utilizing features in edmodo such as uploading material, videos, poll, quiz, and assignment. The subjects of this study were the second semester studentâ€™s elementary school education program of the Sarjanawiyata Tamansiswa University who were taking elementary school mathematics classes. The instrument used was in the form of multiple choice questions, essay, and true false statements. The results obtained by the 2D class obtained an average quiz score of 78.81 and an average grade of 72.85; Class 2E obtained an average quiz score of 83.14 and an average grade of 70.23; and grade 2I obtained an average quiz score of 92.23 and an average grade of assignments of 73.12. Student learning outcomes in all three classes namely 2D, 2E and 2I are included in both categories so that learning using edmodo can be implemented well and can further be modified with other e-learning platforms.
Analisis Komparatif ARIMA dan Prophet dengan Studi Kasus Dataset Pendaftaran Mahasiswa Baru

This research presents all studies, methodologies, and results about testing the accuracy of predictions on new student marketing data by region using the Prophet and Autoregressive Integrated Moving Average (ARIMA) methods. The dataset selected for this study uses 26 years of actual data that has an annual interval. The data was prepared for time series forecasting analysis, therefore, several numbers of data preprocessing were applied such as log transformation and resampling. To get efficient variables, the best variables will be sought to improve the accuracy of predictions. Both models will conduct training and test data to produce values that can be compared using the metric regression model. Based on the training conducted, Prophet has better performance than ARIMA.
ESL Learners' Enhancement of Standard English Accent Among Khotimul Quran of A Primary School Students in Malaysia

&#x0D; &#x0D; &#x0D; CEFR (Common European Framework of Reference for Languages) is a new syllabus for English language subject of Malaysia primary school students. However, none of pronunciation elements involve the stress, rhythm and intonation have been emphasized to accomplish Standard English Accent. The issue is that, Malaysian primary school students do not apply correct stress and intonation while speaking and reading Standard English. Therefore, this study aims to identify the use of stress, rhythm and intonation applied in their spoken English words by both groups. The researcher had choose 15 Khotimul Quran students as the experimental group, whose background had complete reciting Quran for the whole 30 Juz and 15 common students as the control group from Sekolah Kebangsaan Pusat Air Tawar, Johor as the unit of analysis. The researcher uses semi-structured interview, observation and focus group discussion to triangulate the data. Pilot data analysis of the responses had shown a strong correlation between speaking Standard accent with correct stress, rhythm and intonation among the Khotimul Quran. Based on this results, the researcher expects the experimental group those who have Quranic-phonological background achieves higher percentages of accurateness of speaking Standard English accent compares to the control group.&#x0D; &#x0D; &#x0D;
The Influence of Genre Pedagogical and Content and Language Integrated Learning on Elementary Students’ Writing Skills

The objectives of this study are (1) to find out and to present the evidence whether the pedagogical model of the genre affects the writing skills of elementary school students, (2) to know and present the evidence whether Content and Language Integrated Learning (CLIL) affects the writing skills of elementary school students, (3) to know and explain evidence whether the genre pedagogical model and Content and Language Integrated Learning (CLIL) jointly influence the writing skills of elementary school students. This research is a Pre-Experimental Design with One Group Pretest-Posttest Design. In this design, there is only one class that will be analyzed and measure the extent of students' writing skills before and after treatment. The results of the study are proven (1) that genre pedagogical model has a positive and significant effect on the writing skills of grade 5 elementary school students, (2) that the Content and Language Integrated Learning (CLIL) has a positive and significant effect on the writing skills of grade 5 elementary school students, (3) that the genre pedagogical model and Content and Language Integrated Learning (CLIL) jointly influence the writing skills of grade 5 elementary school students.
Exploiting Comparable Corpora to Enhance Bilingual Lexicon Induction from Monolingual Corpora

Bilingual lexicons are essential resources in natural language processing (NLP) and information retrieval (IR).Automatic bilingual lexicon acquisition relies on a large number of parallel corpora that can be scarce or even unavailable for several languages.On the other hand, there are other resources that can be used to build bilingual lexicon such as comparable corpora (aligned documents) and monolingual corpora that are easily to get and available in any language, including resource-limited languages.Hence, this paper proposes a two stages framework that can learn bilingual lexicons from monolingual corpora enhanced using comparable corpora without any additional resources.The framework consists of two stages: comparable dictionary building and monolingual mapping.Comparable dictionary building is a process to create coarse dictionary from comparable corpora by utilizing topic modeling approach.The second stage is monolingual mapping by using the result from the previous stage as seed initialization for the bi-directional projection learning.The utilization of comparable corpora can replace the need of bilingual dictionary.The experiment was conducted using three kinds of language pairs: English-®Indonesia, English-®Arabic and Arabic-®Indonesia.The result of the experiment showed that the proposed method can enhance the accuracy from monolingual corpora and outperform other previous methods.
Penerapan model pembelajaran assurance, relevance, interest, assessment, satisfaction (arias) untuk meningkatkan keterampilan pemecahan masalah soal cerita peserta didik kelas v sekolah dasar

The aim of this research is to improve the word problem solving skills through the use of learning models Assurance, Relevance, Interest, Assessment, Satisfaction (A RIAS ). This is an action classroom research that carried out for two cycles. Every cycle consist of four steps there are planning, implementation, observation, and reflection. Technique that use s for collect data are observation, interview, test, and documentation. The data validity test technique use d content validity and triangulation. The data analysis technique use s interactive model learning. The result of this research showed that the initial pre-action test score were 47. 08 with classical completeness of 1 5 . 15 %, increased in the first cycle by 69, 2 with classical completeness of 51. 5 %, then in second cycle it increased significantly to 8 1 . 0 6 with classical completeness of 8 1 . 82 %. Referring to the results of this reserch it can be conclude that the use of ARIAS learning models can improve the word problem solving skills in fifth grades students of SDN Bumi I No. 67 Surakarta academic year 2018/2019.
Through the 'Scope: The Year in Micromounting—2019 Was a Year of Upheaval

The term upheaval is probably too mild for the human losses in quality and talent that hit micromounting and mineral collecting in general in 2019. We lost several people, but five deserve special ...