Reviewerly/exHarmony huggingface dataset:
Effectively Leveraging Attributes for Visual Similarity

Measuring similarity between two images often requires performing complex reasoning along different axes (e.g., color, texture, or shape). Insights into what might be important for measuring similarity can be provided by annotated attributes. Prior work tends to view these annotations as complete, resulting in them using a simplistic approach of predicting attributes on single images, which are, in turn, used to measure similarity. However, it is impractical for a dataset to fully annotate every attribute that may be important. Thus, only representing images based on these incomplete annotations may miss out on key information. To address this issue, we propose the Pairwise Attribute-informed similarity Network (PAN), which breaks similarity learning into capturing similarity conditions and relevance scores from a joint representation of two images. This enables our model to identify that two images contain the same attribute, but can have it deemed irrelevant (e.g., due to fine-grained differences between them) and ignored for measuring similarity between the two images. Notably, while prior methods of using attribute annotations are often unable to outperform prior art, PAN obtains a 4-9% improvement on compatibility prediction between clothing items on Polyvore Outfits and a 5% gain on few shot classification of images using Caltech-UCSD Birds (CUB), and over 1% boost to Recall@1 on In-Shop Clothes Retrieval.
Modelling of Automated System based on Hybrid Learning and Ensemble Mechanism for Forecasting Future Solar Energy Generation

Due to changes in weather conditions, solar power generation is prone to fluctuations. Therefore, precise forecasting of future solar power generation is essential for managing an energy network. Various solar energy prediction models based on machine learning methods have been introduced in the existing literature. However, most of the existing literature lacks a proper selection of learning models and feature engineering. A hybrid learning model is developed based on the joint operation of various machine learning techniques empowered by ensemble learning mechanisms in the proposed work. Suitable data preparation and feature engineering are performed, and five important meteorological time-series features were selected to train the proposed hybrid model. The study outcome and performance assessment confirms the potential of the proposed solar energy forecasting model. The proposed hybrid model has been shown to predict solar radiation with an accuracy of 93%, which exhibits the robustness and stability of the proposed hybrid prediction system.
IT GOVERNANCE OF SENAYAN LIBRARY MANAGEMENT SYSTEM (SLIMS) LIBRARY AND ARCHIVES DEPARTMENT OF EAST KALIMANTAN PROVINCE USING COBIT 5.0

The existence of an information system in the Library and Archives Department of East Kalimantan needs to be properly maintained and supervised so that the organizational system is in line with the agency's goals. One way to ensure this is to conduct an information system performance analysis. This study uses the Control Objective for Information and related Technology (COBIT) version 5.0, which is a best practice that provides activities managed by the IT organizational structure within a framework in the form of a product, to focus on execution and control that has been made from experts from the field of technology governance Information. This practice can maximize IT investment, to assess if there are errors in providing measurements made and delivering services. Therefore, in order to achieve the target, this research was carried out using the COBIT 5.0 framework in order to be able to analyze an information system performance at the Library and Archives Department of East Kalimantan. The results of this study indicate that MEA01 is at level 5 (Optimizing Process), MEA02 is at level 3 (Established Process), MEA03 is at level 2 (Managed Process). In this case the Regional Library and Archives Office of East Kalimantan to be more efficient in the use of IT requires handling of the factors that influence it so that it is maximal, the use of IT for all employees in the operation of the Senayan Library Management System (SLiMS) and also the person in charge of IT to keep pace with developments technology.
FAKTOR-FAKTOR PEMENGARUH KUNJUNGAN WISATAWAN DALAM RUANG LINGKUP DOMESTIK

In order to complete this research, this article is explained about the amounts of domestic tourists who is arrived into a region and also between any regions in Indonesia. Through the time series data method as well as the concept of error correction model (ECM), even in the short term, long term, or equilibrium at each timeline, the number of these variables have been tested. Based on the results of short-term tests, lots of information could be categorized as the few factors which is affected the amounts of domestic tourist arrival into a region, such as national income, quality of education, and also the lifestyle. Besides, lots of thing that could be categorized as the few factors which is affected the amounts of domestic tourist arrival between few regions are about the exchange variable and inflation rate. But if we talked about the results of long-term test which still about the amounts of domestic tourists between few regions, the affected factor is only about national income without anything related to other problems such as quality of education or lifestyle as well. As an addition, the analysis of ECT concept also gave some results about an equilibrium per each period of domestic tourist arrival into a region and also between few regions, it was at 1,23% and 0,95%. Furthermore, on the long-term equilibrium, there was no balance at all, both in cases of tourist arrival into a region and between regions.&#x0D;
Variational Anisotropic Gradient-Domain Image Processing

Gradient-domain image processing is a technique where, instead of operating directly on the image pixel values, the gradient of the image is computed and processed. The resulting image is obtained by reintegrating the processed gradient. This is normally done by solving the Poisson equation, most often by means of a finite difference implementation of the gradient descent method. However, this technique in some cases lead to severe haloing artefacts in the resulting image. To deal with this, local or anisotropic diffusion has been added as an ad hoc modification of the Poisson equation. In this paper, we show that a version of anisotropic gradient-domain image processing can result from a more general variational formulation through the minimisation of a functional formulated in terms of the eigenvalues of the structure tensor of the differences between the processed gradient and the gradient of the original image. Example applications of linear and nonlinear local contrast enhancement and colour image Daltonisation illustrate the behaviour of the method.
Network Community as a Resource for Supporting the Activities of Mathematics Teachers in the Context of COVID-19

The process of professional development in the information society is associated with the constant updating of organizational forms of interaction and the provision of conditions for the continuous professional development of a modern teacher. The transition to remote interaction of subjects of the educational process in the conditions of COVID-19 has significantly complicated this process. High demands were placed on the level of IT competencies of the teacher, related to the provision of the educational process in the conditions of using distance technologies and e-learning. The teacher has faced with complex professional tasks. At this stage, network communities have become a key resource for supporting the teacher's professional activities. The review of scientific and pedagogical publications on the research topic determines the basis of the article. The paper attempts to clarify the concept of "network professional community to identify the key capabilities of the "network professional community to identify the levels of effective interaction and constructive work, as well as to determine the optimal conditions for professional development in the conditions of remote interaction of the subjects of the educational process. The generalization of the regional experience of the network community is aimed at the formation of strategic directions in the formation of a continuous system of professional development of mathematics teachers in the information society, to determine the effective conditions for the organization of professional interaction in the network structure. Based on the results of monitoring the work of the network community of mathematics teachers, the authors identified active forms of professional interaction and relevant topics for professional development. The paper defines the structural components of the model of continuing education in the context of the network community of mathematics teachers, as well as the key characteristics of the network professional community at the regional level.
Decision Support System in Determining Scholarship Recipient Lecturers Using the Simple Additive Weighting (SAW) Method

The role of lecturers in higher education is one of the most influential parts of the quality of students produced. The educational qualification of lecturers is an important aspect of academic and institutional quality. So that many universities or educational institutions provide doctoral scholarship programs for potential lecturers.One of them is the Catholic University of Santo Thomas, Medan, which provides scholarships, namely doctoral scholarships for 5 outstanding lecturers. This research is a decision support system for doctoral scholarship recipients at the Catholic University of Santo Thomas Medan using the Simple Additive Weigting (SAW) method. The SAW method is used to determine the recipient of the S3 scholarship which is determined based on the criteria. This decision support system is built with a web-based application system as a tool in determining the decisions of lecturers who receive doctoral scholarships at the Catholic University of Santo Thomas Medan and uses MYSQL as a database.
PENGARUH MODEL PEMBELAJARAN NHT BERBANTUAN MEDIA KOTAK PUZZEL TERHADAP HASIL BELAJAR SISWA PADA PELAJARAN IPA

This study aimed to examine influence of NHT learning model using box puzzle media toward student learning outcomes on IPA subjects class IV SD Muhammadiyah Jetis Salaman Magelang.The research design was quasy experimental design with one group pretest posttest model. The research variable was IPA learning outcomes. Data analysis used was parametric statistical techniques paired sampel t-test. The research subject were 15 students class IV SD Muhammadiyah Jetis Salaman Magelang. The data collection methods used test questions. The results of this study indicated that NHT learning model using box puzzle media effective to increased student learning outcomes on IPA subjects class IV SD Muhammadiyah Jetis Salaman Magelang. The increase student learning outcomes was evidenced by the result of test analysis paired sampel t-test with the probability of the sign value (2-tailed) 0,000 &lt; 0,005, that mean was significant difference between before and after being given treatment with HT learning model using box puzzle media. Based on the research results, it was concluded that the application of NHT learning model using box puzzle media influenced to student learning outcomes on IPA subjects Keyword: NHT learning model using box puzzle media, learning outcomes
Microsoft Office 365 as an Alternative in Online Learning during the Covid-19 Pandemic

pandemic requires lecturers to do online learning, so an alternative is needed to support their learning.Microsoft Office 365 is an application that has many features to make the learning process easier.The purpose of this research is to describe the use of Microsoft Office 365 as an online learning alternative during the Covid-19 pandemic.This research is qualitative with a descriptive approach.The research subjects were students of the Islamic Institute of Muhammadiyah Sinjai, Mathematics Education Study Program.Data were collected by distributing questionnaires and conducting interviews.Lecturers use several Microsoft Office 365 features in learning, namely Teams, Forms, and One Drive.Teams are used to create virtual classes, share materials, develop assignments, quizzes, assessments, and virtual meetings.Form is used to generate attendance lists and questions.One Drive is used to store files and share links.As a conclusion, Office 365 can facilitate lecturers in the learning process because it has many features that can be used as an alternative for online learning during the Covid-19 pandemic.
The Study of Multiple Jeopardy Mapping in Nervous Condition by Tsitsi Dangarembga

This research paper aims to make a personality analysis in the characters of Nyasha, Tambu, Maiguru, and Lucia from Tsitsi Dangaremba's novel Nervous Condition under the lens of Multiple Jeopardy. This research scrutinizes female suppression under feminist traditions. In Nervous Condition, Tsitsi Dangaremba explains that how women are facing multiple oppressions due to their class, race, and sex. Tambu the protagonist of the novel shows through her life that how their identities are intertwined between being White and Black and to show that there is need to unveil certain mysteries in the universe, which hold connections and ties among different phenomenon it would be discussed with reference of Nervous Condition by Tsitsi Dangarembga.
Technological Aspects of Distance Learning in Geogebra Classroom-Math Environment

The article discusses the technological aspects of distance learning in the GeoGebra Classroom virtual math platform environment, based on a practical model of using the GeoGebra Classroom. In particular, the main activities of Geogebra Classroom are presented in the following order: Activities - find / create an activity; GeoGebra class - create a GeoGebra class; Admission of students to the GoeGebra class; Appointment of a co-teacher; Monitoring student progress; GeoGebra classrooms in a distance learning environment; GeoGebra Applets (Graphing; CASE; Geometry; 3D Graphics; Spreadsheet; Probability; Notes) for GeoGebra Classroom; Creating a GeoGebra class from a GeoGebra book.Every activity in the work is explained and performed in practice, which is confirmed by the corresponding illustrations actually carried out in the GeoGebra classroom environment. The algorithm for carrying out each activity is explained in detail and analyzed from a technological point of view and the methodological value of a separate step is shown. The discussion of the individual activities is accompanied by the proper definitions and purposes of the GeoGebra Classroom environment interface.The article provides the recommendations for the necessary measures before starting the practical work in the GeoGebra Classroom,such as: Registration on the official GeoGebra website https://www.geogebra.org/; Download the GeoGebra Classic installation package and install it on the local computer; Have knowledge of using online and installed applications of GeoGebra Classic to create a resource.The main activities of the GeoGebra classroom in the work are carried out on the example of discussing a practical model, parallel lines, with virtual groups of students. The following steps are shown sequentially: Creating resources in local and online GeoGebra applications; Creation of activities and their enrichment with additional elements of educational goals (Text; GeoGebra Applet; Notes; Question: Open question, Multiple choice; Video; Picture; PDF file Web); Creating a GeoGebra class and engaging participants online in real time; interactive communication in the GeoGebra classroom with the joint participation of the teacher and sstudents, which does not require sharing of screens by students; Tracking students' progress in the educational process, conducting anonymous discussions and providing feedback.The article analyzes and confirms the success of using GeoGebra Classroom in teaching mathematics both in schools and in higher educational institutions.
Self Conceptualization and Multi Privileged Algorithm based Controller

The paper proposes to reduce the workspace, provide users to work on multiple applications in a single domain, provide the security for associates and the privileged people by giving a single sign on authentication. It is very complicated to oversee various factors related as far as bigger associative working. It is very hard to keep up with various kinds of workability on the individual dimension. We are using AES and DES algorithm for the authentication purpose. The design is based on established technical specifications that have been taken for multi domain working, add the technological variations are required to be consolidated. Self-repulsive identity-based panel will help the companies to secure their workability with advanced implied methodology and with variations of governance that is provided with cloud support. The system will be more useful when large, complicated instance are required to be organized. The conditional understanding with the policies will be also supported which will be more helpful to organize that type of working orientations needed by a particular company. The system provides identity provisions for managing a particular appliance also so as to organize large working environment. The framework is synchronized such that may be utilized very well by the customers with the typical comprehension of innovation.
THE EFFECT OF DIFFERENT LIGHT CURED UNIT INTENSITIES ON THE DEPTH OF POLYMERIZATION OF BULK FILL SCULPTABLE COMPOSITE RESIN RESTORATIONS

Background : The latest development of dental material restoration is a bulk fill sculptable composite resin. This material can be applied to a 4 mm cavity at once irradiation. The success of polymerization can be affected by improper irradiation. Both the physical and mechanical properties of the material also can be decreased by improper irradiation. This study aimed to determine the effect of different light-cured unit intensities on the depth of polymerization of bulk fills sculptable composite resin restorations.Method : This research method was an experimental analytic type of post-test only control group design laboratory, consisting of 24 bulk fill sculptable composite resin with a diameter of 4mm x 6mm thickness divided into 6 groups:A1(3M ESPE-low intensity),A2(3M ESPE-high intensity),A3(3M ESPE-soft start intensity),B1(Ivoclar vivacity-low intensity),B2(Ivoclar vivadent-high intensity) and B3(Ivoclar vivadent-soft start intensity). Result : The results showed a significant effect of the low, high, and soft start intensity light-cured units in the bulk fill sculptable composite resin groups by Kruskal-Wallis test 0.00 (p &lt;0.05).Conclusion : The best polymerization depth of bulk fill sculptable composite resin was 3M ESPE and it was affected by the high and low-intensity light-cured units
ELECTRONIC MEDICAL RECORD AT RSIGM SULTAN AGUNG SEMARANG REVIEWED FROM THE COMPLETENESS AND THE SAFETY FORMAT SYSTEM

Background: An electronic medical record is a medical system that can be used to store information about the track of a patient`s health. The completeness format of Electronic Medical Record used the format of Electronic Medical Record Guidance from Health Ministry Year 2015. The safety of electronic medical records has 6 aspects as follows privacy, integrity, authenticity, availability, access, control, non-rapadiatum.Method: This research aimed to know the description of the completeness format and the safety of The Electronic Medical Record at RSIGM Sultan Agung Semarang. This research used descriptive observational using a cross-sectional method. The subject of this study was Electronic Medical Records in March 2020. The samples were selected according to the inclusion criteria obtained from RSIGM Sultan Agung SemarangResult: The result of this research was used to know the description of the completeness of Electronic Medical Record Format and the safety of Electronic Medical Record at RSIGM Sultan Agung Semarang.Conclusion: The conclusion of this research showed Electronic Medical Record had been applied at RSIGM Sultan Agung Semarang but there are still lack in the informed consent form and the informed refusal, the safety of the electronic medical record was still lack in the electronic signature format.
The Students’ Perception towards Code-Switching and Code-Mixing in Sociolinguistic: A Case at an English Education Major

This qualitative study will investigate English Education students’ opinion towards code-switching and code-mixing; both in everyday and classroom use. In this study, it will employ an open-ended (short-answered questionnaire) with 13 questions that mainly focus students of English Education class of 2016-2018. The populations were chosen because the students of 2016-2018 have attended Sociolinguistic Course during semester 3. Moreover, to gather the population, the researcher spread the link of questionnaire written in Google Form by personally contacting several people via Whats App. Based on the findings obtained from the questionnaire, it can be inferred that the 20 respondents mainly spoke 3 languages (national: Indonesian, local: Javanese, foreign: English). Furthermore, it can be concluded that 11 respondents find code-switching and code-mixing of national, local and foreign languages acceptable to be used in everyday life and classroom situation. On the contrary, 3 respondents also see code-switching and code-mixing of national, local and foreign languages annoying and disturbing to be implemented in daily communication. Meanwhile, 6 respondents perceive code-switching and code-mixing of national, local and foreign languages as neutral to be executed in everyday and classroom situation. &#x0D; &#x0D; Keywords: Sociolinguistic; Code-Switching; Code-Mixing; English Education Students
MORPHOLOGICAL ANALYSIS OF DERIVATIONAL BOUND MORPHEME IN MAGENA LANGUAGE: A LANGUAGE SPOKEN IN CENTRAL SUMBA REGENCY

The aim of the study is to identify the morphological of derivational bound morpheme in Magena Language and to find out the functions of Morphological of derivational bound morpheme in Magena Language.” The writer uses the descriptive qualitative method which is aimed to describe bound Morphemes in Magena Language. The subject of this writing is five informants of Magena in collecting the data. The writer assigned the informants to do the storytelling and record them. After that the data were analyzed using the descriptive qualitative method. The findings reveal that the derivational bound morphemes that appear are free morphemes, which consists of a noun, verb. adverb, adjectives. It was also found that the function of the suffix –ne was as possessive of the first-person singular, the function of the suffix - ne as possessive of first – singular, the function of the suffix –me as possessive of first-person plural, The function of the suffix –ya refers to third-person singular as an adverb. Circumfixes pa - and - gi have the function to change the part of speech. From the result gained the writer could say that derivational bound morpheme in Magena language has their own character and their own function in use.