Reviewerly/exHarmony huggingface dataset:
Representasi Dispersi Cahaya sebagai Sumber Ide Penciptaan Seni Kriya Tekstil

Dispersi cahaya merupakan suatu proses yang dijelaskan dalam cabang ilmu fisika sebagai penguraian cahaya polikromatik atau secara spesifik cahaya putih menjadi tujuh spektrum cahaya monokromatik atau cahaya pelangi. Dispersi cahaya berkaitan dengan objek benda yaitu prisma segitiga mengacu pada prisma optik yang juga berfungsi mengurai cahaya. Konsep dispersi cahaya dalam fisika dipandang oleh penulis menarik dan perlu untuk direpresentasikan dan menjadi sumber ide dalam suatu karya seni. Tujuan penciptaan ini adalah untuk merepresentasikan secara visual konsep dispersi cahaya ke dalam karya seni kriya tekstil. Metode penelitian dalam penciptaan ini yaitu practice-based research dengan teknik observasi mendalam terkait konsep dispersi cahaya dan teknik penciptaan meliputi proses desain dan perwujudan. Proses perwujudan menggunakan teknik batik jumputan, patchwork, dan batik tulis teknik pewarnaan colet. Hasil penciptaan dalam penelitian ini berupa dua karya seni kriya tekstil yang merupakan hasil representasi visual konsep dispersi cahaya secara ilustratif dan representasi visual secara ilusi dari objek prisma optik berbentuk prisma segitiga. Hasil karya seni kriya tekstil disajikan dalam bentuk busana kasual ready to wear. Representation of Light Dispersion as A Source of Ideas in Textile Craft Art Creation Abstract Light dispersion is a true process in the branch of physics as the breakdown of polychromatic or specific light into seven monochromatic or rainbow light spectra. The dispersion of light associated with objects, namely the triangular prism, refers to the optical prism, which also functions to decompose light. The concept of light dispersion in physics is considered by the writer to be attractive and needs to be represented and become a source of ideas in a work of art. The aim of this objective is to visually represent the concept of light dispersion in textile crafts. The research method in this group is practice-based research with in-depth observation techniques related to the concept of light scattering and techniques, including the design and embodiment process. The embodiment process uses the batik jumputan technique, patchwork, and hand-written batik, the colet coloring technique. The results of the research in this study are in the form of two textile crafts, which represent the visual representation of light dispersion in an illustrative way and an illusory visual representation of an optical prism object in the shape of a triangle. The craftsmanship is presented in the form of casual ready-to-wear clothes.
The Development and Effectiveness of Web Based Media Provider Costume by User to Improve Elementary School Students’ Understanding

&lt;p&gt;&lt;span lang="EN-US"&gt;The problem at elementary schools was the use of media that was not in accordance with the context and needs of teachers and students in the classroom through instructional design. The purpose of this study was to develop and evaluate the effectiveness of a web-based media provider costume by the user (Web-MPCU) to improve students’ understanding of the material and test the effectiveness of its application through instructional design at elementary schools. The development model used was Huang's instructional design development model. The results of the study show that instructional design provided information needs that were appropriate to the problems of the school context and resolves them by developing and implementing the Web-MPCU. The results of the development and evaluation of the use of the Web-MPCU show that it was valid, feasible, and effectively applied to improve understanding of the material in elementary schools. The effectiveness of the use of the Web-MPCU was also shown from the ease with which the teacher asks and analyzes the media needs of his students.&lt;/span&gt;&lt;/p&gt;
Product Pricing Decision Support System with the Simple Additive Weighting Method

The development of information systems today has caused quite significant changes in the pattern of decision making within a company. The development of this information system has also made changes from various groups who act as information seekers to always obtain the most appropriate and accurate information that can be used in the process of updating information. Furniture data management at the Kabun Raya Furniture store is still done manually and product pricing is done based on furniture data records. Doing product pricing based on manual management can cause manipulation of product data which makes product pricing irrelevant. To overcome these problems, we need a system that provides convenience in storing and processing product data in the store. The method used in this research is field research, library research, and laboratory research. The tool used for design is UML (Unified Modeling Language). By implementing a decision support system using the PHP Programming Language and MySQL Database, it makes it easy for leaders to determine product prices.
Feature Fusion Network for Personalized Online Advertising Systems

Sponsored online advertising delivers many billions of revenues for online ads publishers. The ads systems take userinput query keywords and display ads that are relevant to the query. the task of click-through rate (CTR) prediction aims to estimate the likelihood of a user clicking on the ads, which has become one of the core goals in the ads system. In order to further improve the CTR, user portraits are also considered as an input to make personalized ads display and recommendations, in the current deep learning CTR training platform. The naive combination of user space (~ 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">9</sup> ) and feature space (~ 10] <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">12</sup> however, would yield a 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">21</sup> dimensional space. It is not only infeasible to feed the 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">21</sup> parameters into the embedding layer with any off-the-shelf storage, but also impractical to train the network in such massive-scale dimensional space. In this paper, we design a novel CTR prediction framework for ads systems to tackle the massive-scale user-feature combination challenge. Specifically, we introduce a feature fusion network to explicitly learn user-feature cross embedding in an end-to-end manner. To improve the efficiency, we prune the feature fusion networks to a practical number through a network importance ranking scheme. Extensive empirical experiments on Baidu’s ads data validate the effectiveness of the proposed feature fusion networks.
Research on blockchain cross chain interaction technology suitable for power dispatching system

With the construction and development of the new power system, the demand for the source network load storage coordinated control business is increasing. There are many kinds of object subjects participating in the power grid operation and power and electricity platform, which brings new challenges to the power grid regulation business. Blockchain technology provides a new idea to solve the problem of power regulation business. This paper studies the block chain cross chain interaction technology in the power dispatching system, analyzes the main block chain cross chain technology and its characteristics, proposes the block chain cross chain technology scheme in the dispatching field, and implements the data cross chain interaction between homogeneous and heterogeneous block chains.
GNN-based retrieval and recommadation system: A semantic enhenced graph model

As a general method that captures knowledge from relation, graph modeling has been widely used in many fields including recommendation in Internet applications. A typical graph based system must be provided with a nodes and edges. To get information from both nodes and edges efficiently, many re-search use Graph Neural Network (GNN) to process their data. We propose a retrieving and recommendation system based on GNN to be spe-cific for learning the graph data with disordered topology structure, we lead a semantic clustering phase into GNN classification phase which promotes the search accuracy. At training phase, we give a try to go to a deeper layer. In the end, quantitative and qualitative experiments demonstrate the distinctly-improved effectiveness of the proposed approach towards the application of recommendation system.
Metadata Caching in Presto: Towards Fast Data Processing

Presto is an open-source distributed SQL query engine for OLAP, aiming for “SQL on everything”. Since open-sourced in 2013, Presto has been consistently gaining popularity in large-scale data analytics and attracting adoption from a wide range of enterprises. From the development and operation of Presto, we witnessed a significant amount of CPU consumption on parsing column-oriented data files in Presto worker nodes. This blocks some companies, including Meta, from increasing analytical data volumes.In this paper, we present a metadata caching layer, built on top of the Alluxio SDK cache and incorporated in each Presto worker node, to cache the intermediate results in file parsing. The metadata cache provides two caching methods: caching the decompressed metadata bytes from raw data files and caching the deserialized metadata objects. Our evaluation of the TPC-DS benchmark on Presto demonstrates that when the cache is warm, the first method can reduce the query’s CPU consumption by 10%-20%, whereas the second method can minimize the CPU usage by 20%-40%.
Design, fabrication, and evaluation of a large-area hybrid solar simulator for remote sensing applications

Solar irradiance variations have a direct effect on the accuracy and repeatability of identifying spectral signatures in the remote sensing field experiments. Solar simulators have been deployed to allow for testing under controlled and reproducible laboratory conditions. However, it is difficult and expensive to make a large-area solar simulation with the appropriate spectral content and spatial uniformity of irradiance. In this study, a hybrid solar simulator has been designed and constructed to provide large-area illumination for remote sensing simulation applications. A design method based on the two-phase genetic algorithm is proposed to improve the performance of the spectral match and spatial uniformity, which no longer relies on the traditional trial-and-error technique. The first phase is used to determine the most appropriate configuration of different lamps in order to represent the solar spectrum. The second phase is to accommodate an optimal placement of the multiple sources to achieve irradiance uniformity. Both numerical simulations and experiments were performed to verify the performances. The results showed that the solar simulator provided a good spectral match and spatial irradiance for simulating the variations in direct normal irradiance at different solar zenith angles. In addition, the modular design makes it possible to adjust irradiance on the target area without altering the spectral distribution. This work demonstrates the development and measurement of a hybrid solar simulator with a realizable optimal configuration of multiple lamps, and offers the prospect of a scalable, large-area solar simulation.
MARKETING IN THE METAVERSE: AN OPPORTUNITYFOR VIRTUAL MARKETING FOR ZOOMERS (GENZ)

The "metaverse," an ultra digital environment, has the power to significantly change how brands, businesses, and consumers interact in a seamless connected universe of virtual realities.The capacity of the metaverse is being increased by both individual users' desire to communicate and transact in virtual places and commercial investments of billions of dollars in developing metaverse-related technology.However, because to its rapid expansion, there is a lack of understanding regarding the current extent of the metaverse and the probably attributed for marketing practise and research.To stay relevant, lead their industries, and sway user satisfaction' marketers may take use of the rich interactive stage that the expanding Internet usage offers.Thus, it is thought that understanding how zoomers view virtual marketing would help marketers use the metaverse to influence users' satisfaction.Therefore, the purpose of this study was to comprehend how zoomers view virtual marketing in metaverse as a shift from traditional marketing.In order to accomplish the goals of the study, a quantitative technique was employed to gather and analyse data.A total of 200 people were given questionnaires to complete, and the Statistical Package Jamovi was used to analyse the data.The study's findings indicated a relationship between the characteristics and user happiness, with users finding it simple to communicate with businesses via online marketing.
Perbedaan Hasil Derajat Aglutinasi Serum Grouping Tube Test Dengan Suspensi Reagen NaCl 0,9% Siap Pakai dan Suspensi Reagen NaCl 0,9% Dari Garam Dapur

ABO blood group examination is a simple laboratory test performed to determine a personâ€™s blood group. There are two types of ABO blood group test, namely cell grouping and serum grouping. Serum grouping examination is very important to prevent incompatible transfusion reactions and organ transplant rejection. Serum grouping was carried out using 10% saline wash suspension of cell A, B and O. The blood cell washing stage was used to remove fragile cells and interfering substances that could result in errors in the examination. The main ingredient used in the blood cell washing procedur is 0.9% NaCl. This study aims to determine the degree of agglutination serum grouping tube test with ready to use 0.9% NaCl reagent suspension and 0.9% NaCl reagent suspension from table salt. The type of research is an experiment. The study was conducted at UDD PMI South Sumatra Province on 30 December 2021 to 5 January 2022 with a totalsample of 67 samples. The results showed that the average degree of agglutination the serum grouping tube test with 0.9% NaCl reagent ready to use was 3.73 and the average degree of agglutination the serum grouping tube test with0.9% NaCl reagent from table salt was 3.69. Wilcoxon test results obtained p value = 0.450. The conclusion of the study, that there is no differences in the results of the agglutination serum grouping tube test with ready to use 0.9% NaCl reagen suspension and 0.9% NaCl reagent suspension from table salt. The table salt showed that 0.9% NaCl reagent can be used as alternative reagent NaCl 0.9% ready to use in the examination of Iserum grouping tube test.
Eigen face Detection and Criminal Identification System Using Artificial Neural Network

Identifying and authenticating a criminal is a time-consuming and challenging task. According to a survey by the National Crime Archives, 80% of repeat offenders commit the same crimes over and over again. Criminals are becoming smarter than leaving any biological evidence or fingerprints at crime scenes. A face is a complex Multidimensional scene modeling and face recognition creating a computational model is difficult. Face image coding and of an information theory approach to coding the paper basically provides a face recognition algorithm. The face is a unique and important feature of the structure of the human body that identifies a person. This facial recognition can be used to identify criminals from a pic ture or video frame by cameras mounted in many areas. As a result, it can be used to trace the identity of a criminal. Face recognition uses biometrics to map a person's facial features statistically and save the information as a face print. Every face is given a distinctive shape, which It compares to other photos in the collection. If a match is found with the input face, In formation related to the corresponding image will be shown. This strategy will lessen crime and safeguard public safety. For the test batch, nearly all recognition scores were calculated taking feature extraction into account. The model's overall Cron bach's Alpha rating is 0.616, which denotes a 61% reliability level.
GRA Methodology for Competency Based Personnel Evaluation and Selection

The selection and evaluation of employees is a crucial procedure that can have a big impact on an organization's performance and competitiveness in the future.An elaborate hierarchical structure for choosing and assessing the best employee is presented in this study.One of the many ways we may assist the evaluation process is by implementing a decision support system with a prioritising strategy.Since the process of employee evaluation is subjective, it is a significant challenge for any organisation because many factors lead to inaccuracies and errors in judgement.An employee is crucial to the organisational structure's success in attaining its objectives.Encouraging the worker with incentives like bonuses, holidays, and promotions that can boost each worker's output.Through the GRA, a methodology is created for choosing the Employee of the Year that combines qualitative and quantitative decision-making techniques.The framework can identify the pertinent elements and measurement indicators, provide a uniform evaluation standard to aid in decision-making, and methodically develop the employee selection objectives to satisfy an organization's business goals and strategies.The GRA method, which is competency-based, is used to match employees to certain jobs.An illustration shows the viability of the proposed framework.Similar to Ideal Solution (GRA) approaches, GRA is computationally effective, theoretically straightforward and simple to comprehend, and capable of evaluating the relative performance of alternatives in the form of a methodical choice.This decision support system may calculate employee performance ratings, allowing for a fair evaluation to be realised based on the system's criteria.A higher score indicates a better employee, whereas a lower number indicates a less effective employee.Traditional from this analysis Basic idea of GRA method Determines the long-range solution from the short-range and negative-best solution, but the comparison of these distances is not considered significant.Employees 1, Employees 2, Employees 3, Employees 4, Employees 5, Employees 6, taken this alternative in this method and evaluation parameters is Communications (C1), self-motivation (C2), interpersonal skills (C3), decision-making (C4), knowledge/skill (C5), career development (C6), and management (C7).From the result it is seen that Employees 1 is got the first rank where as is the Employees 2 is having the lowest rank.It demonstrates the employee of the year who prioritises job quality above everything else.This method is more effective and efficient since it can swiftly and clearly give staff performance appraisal results.
THE EFFECT OF PICTURE AS MEDIA TO THE STUDENTS’ ACHIEVEMENT IN VOCABULARY

The objective of this research is to find out the significant effect of applying pictures on the students’ achievement in mastering vocabularies. The research was conducted at MTs. Hidayatullah Tanjung Morawa Medan. The research method used was experimental research design. The total population was 60 students in the seventh grade. There were two parallel classes that were selected as samples by using the cluster random sampling technique. One class was selected as an experimental group taught using pictures as media to master vocabulary and the other was selected as a control group taught using the lecturing method. Each group consisted of 30 students for each. The total sample was 60 students. The research instrument used was multiple-choice tests. Obtaining the mean score, standard deviation, and standard error of both groups, the statistic t-test was then carried out. It was obtained that to=1.681 and ttable=1.67 with df=58 at tcritical 0.05. This value determined that to was higher than ttable or 1.68&gt;1.67, thus, the alternative hypothesis (Ha) was accepted, and the null hypothesis (Ho) was rejected. In a conclusion, there was a significant effect of using pictures as media on students’ achievement in vocabulary mastery.
An Analysis of Deixis Used by McDonald's Webpage Content

&lt;p&gt; This research studies about deixis used by McDonald’s webpage content. There are two objectives of this research. The first objective is to identify the types of deixis used by McDonald’s webpage content and the second objective is to analyze the referents meaning of the deixis used by McDonald’s webpage content. The research method is descriptive qualitative method with data analysis technique, that is content analysis design. The result of the research shows that there were 94 deixis used by McDonald’s web page content. The data of deixis types are classified into five types. They are person deixis, time deixis, place deixis, social deixis and discourse deixis. In this research, person deixis became the most dominant type of deixis used by McDonald’s. person deixis in addressing McDonald’s teams and McDonald’s customers. The usage of social deixis to address McDonald’s partners and the relation, discourse deixis for explaining the discourse in upcoming and prior portion about the McDonald’s content in the McDonald’s webpage. Next, place deixis is used to mention the location and the time deixis is used for referring the specific time.&lt;/p&gt;
Information and communication technology integration and teaching mathematics in higher education

The purpose of the study is to develop a model for the application of information and communication technology in the teaching of higher mathematics at the level of school education. The leading method for studying this issue is testing developed by V.E. Milman "Diagnostics of motivational structure of personality", which allows studying the level and features of motivational sphere of the researched based on characteristics of their personality with prevailing emotional background of interest, which are directly connected with motivational sphere and due to which it is possible to influence the level of motivation and mastering of the material on topics of higher mathematics based on given parameters of its increase. The identified indicators enable determining the success of using information and communication technologies within the framework of the created model improving the educational process of studying elements of higher mathematics at school. This will enable students to understand how the knowledge they are learning will be put into practice in their lives in the future, allowing them to be highly motivated in their approach to learning the subject, as well as within the framework of imaginative reconstructions of mathematical figures from different angles, graphs of various parameters, imaginative explanations of formulae, theorems and mathematical rules, which will be displayed in 3D on a large screen, thus enabling students, through their visualization, to understand their essence from different perspectives, which will be reinforced by their practical application.
Social media memes: A study of its impact on intercultural communications

The focus of the paper is on the examination of impact of social media memeson cross-cultural communication. Memes, tiny templates carrying humorous texts and information’s, in our opinion, represent contemporary realities and cultural stereotypes that are relevant and engaging to Internet users. We believe they have brought a significant change to the whole process of cross cultural communication. They led to the creation of a virtual society which in turn made the idea of globalization possible.