Reviewerly/exHarmony huggingface dataset:
Implementasi Algoritma Apriori Pada Sistem Prediksi Pemesanan Spanduk Di Percetakan Cipta Aksara 3 Pagaralam

The purpose of this study was to implement a Banner Ordering Prediction System Using the Apriori Algorithm at Pagar Alam 3 Pagar Alam Cipta Aksara Printing. At Pagar Alam 3 Pagar Alam Cipta Aksara Printing, a problem was found, namely the difficulty in controlling the available banner-making production materials. When there are banner materials that are often purchased out of stock at the printing press, the printing owner must re-stock the materials and it takes a long time to provide the materials. With the Banner Ordering Prediction System Using the Apriori Algorithm, it was found that the association rules if consumers order 340 ingredients then consumers will order 280 ingredients with a 100% confidence value, if consumers order 280 materials &amp; x-banners then consumers will order 280 ingredients with a confidence value of 100 %, the item if the consumer orders the sticker material, the consumer will order the material 280 with a confidence value of 93.10%, the item if the consumer orders the material 400 then the consumer will order the material 280 with a confidence value of 86.67% and the item if the consumer orders the material 280 then the consumer will order sticker material with a confidence value of 51.92%. With this system, it is hoped that it will simplify the process of providing material for making banners in the future. The system testing method uses Black Box Testing by testing input, output, update, delete, and button functions, with valid (appropriate) results.
LEARNING ENGLISH BY USING WHATSAPP APPLICATIONS DUE TO COVID-19

Online learning activities are implemented simultaneously in Indonesia due to the spread of the coronavirus, Coronavirus disease or covid-19 is spared very fast, speeding to almost all countries. With the implementation of online learning, this research discusses English learning activities using the Whatsapp application as a medium. This study uses a qualitative method to collect data through interviews with various students participating in e-learning. According to the interview results, students are satisfied with e-learning because teachers are more creative in dealing with several media. These tools will particularly motivate students to learn English. Using the Whatsapp Application allows students to freely consult the materials provided by the teacher, discuss with other students, watch videos or view various documents related to the materials. although there are some obstacles in using the internet, such as the connection is not good enough. Students still enjoy E-learning because they use methods that are not boring.
Penerapan Teknik Labelling QR Code Pada Sistem Informasi Aset PT. Bias Mandiri

This study aims to develop an asset information system at PT Bias Mandiri, where the information system in the previous asset naming was still unable to support the management and maintenance activities carried out by the staff. So it takes development in the naming of data assets. The development is carried out by applying the asset labeling technique using a QR Code. Asset data is obtained from data that has been inputted at PT. Bias Mandiri for the 2018 period, which totals 138 units, consisting of computers, laptops, printers, scanners, UPS, and Switch hubs. The method used is System Development Life Cycle (SDLC) with Rapid Application Development (RAD) system modeling. Asset data is processed into a QR code or QR Code which will then be processed into information by utilizing a QR Code Scanner.
EFL STUDENTS’ VOICES ON NATIVE SPEAKER PRESENTERS ON YOUTUBE VIDEOS AND THEIR IMPACT ON STUDENTS’ ENGLISH COMPETENCY DEVELOPMENT

There have been many studies on YouTube and its advantages for learning English, yet a specific research on students’ perception of native speaker presenters is still rare. This study aimed to investigate students’ general perspectives on YouTube videos, and exploring students’ perspectives on YouTube video presenters/hosts (native speaker and non-native speaker), and how they positively affect students’ English competency. A descriptive analysis method was done by distributing a questionnaire written in Indonesian via Google form to 156 respondents. The result of questionnaire was then analysed qualitatively using Jeffreys’s Amazing Statistics Program (JASP) 0.14.1. A semi-structured interview to ten respondents to dig out more about their response for certain items or questions was also done. The analysis revealed that YouTube provides a wide variety of topics, available in multiple languages, and might be downloaded anytime. When the presenters are the native ones, the respondents got some positive impacts in improving their English competency. Students felt challenged in building their understanding of the content, could practice their listening skill correctly, may train and improve their speaking skill, got new English vocabulary, learn to pause, stress, and use appropriate intonations in uttering words, sentences, and phrases, could practice proper use of grammar, identify people’s live and behave, increase students’ general knowledge, increase their knowledge of English language culture, and they become more creative. However, some respondents preferred the non-native hosts since they tend to speak slower and sometimes switch to Indonesian that facilitates the respondents understanding.
Direct measurement of the density matrix of a two-photon polarization qubit

There is interest in using photon entanglement in biomedical applications. In one application, polarization entangled photons pass through brain tissue. The effect of the brain tissue on the photon entanglement is measured via the decoherence that is imparted on the entangled state. Our current method to obtain a measure of the decoherence involves quantum state tomography, where a minimum of 16 measurements are used in conjunction with tomographic optimization to obtain the density matrix representing the state of the photons. In this work we report on a method to avoid tomographic optimization on behalf of a direct measurement of the elements of the density matrix. We make preliminary comparisons between the two methods.
Automated Question Generator using NLP

Abstract: The purpose of the Automated Paper Generator is to automatize the winning guide machine with the aid of the help of computerized gadgets and full-fledged laptop code, pleasurable their requirements, simply so their precious facts/data can be maintained for an extended quantity with clean gaining access to and manipulation of the desired software program and hardware are honestly available on the market and easy to discern with. automatic query Paper Generator, as represented above, will result in blunders loss, at ease, reliable, and brief control system. it can help the person to not forget their opportunity sports but rather to concentrate on file preserving. So, it's going to assist an organization in the higher utilization of sources. The enterprise will keep computerized records while not redundant entries. which means that one needn't be distracted by info it is now not applicable while having the ability to acquire the statistics. The goal is to automatize its existing guide gadget by way of the assistance of picked equipment and complete-fledged laptop software, pleasurable their requirements, just so their precious facts/statistics can be preserved for an extended quantity with sincere access to and manipulation of the equal. on the whole, the venture describes the manner to manipulate permanently overall performance and better offerings for the customers. Texts with capacity academic well-worth have ended up on the market through the net. however, the victimization of those new texts in lecture rooms introduces several challenges, one in every of which is that they typically lack compliance with physical activities and assessments. right here, we will be inclined to address part of this task by way of automating the creation of a specific form of assessment object and the use of various questions developing with taxonomies. specially, we concentrate on mechanically generating actual WH queries. Our purpose is to make an automatic gadget if you want to take as enter a text and flip out as output questions for assessing a reader's understanding of the records within the text. The questions would possibly then be supplied to a trainer, who would possibly pick and revise people who she or he judges to be beneficial.
Analysis Of Moves and Tenses on Abstract Article Published at Journals

An abstract has an important role in the research article. Generally, if the researcher wants to submit the article the first thing that must be done is to submit an abstract. This article aims to identify the moving structure of English abstracts of researcher’s articles from many sources that were published started from 2011 to 2021, to identify of applying tense and disagreement of subject and tense in writing abstract article. This study employed a genre analysis approach. As data collection techniques are used 10 abstract articles from the journal were published and then analyzed by using a moving structure from Hyland and Swales &amp; Feak. The result can be revealed that they are 7 abstract articles that applied the introduction, 9 abstract articles that applied purpose, 9 articles that applied method, and 10 abstract articles that applied product move then there are 4 abstract articles applied conclusion move. In applying tense, the most used is simple present tense. It can be concluded that the most applied move is the product in writing an abstract article then the most used tense is in the simple present tense in writing an abstract article.
Development of HICAH Learning Media (Count Fractions) for Blind Students in Makassar

This study aims to determine the feasibility of the media, student responses, and teacher responses to Hicah learning media (count fractions) for blind students in Makassar. This research is development research using the ADDIE model (Analysis, Design, Development, Implementation, dan Evaluation). The analysis stage is used to find out about the problems and needs of students, the design stage makes media prototypes according to student needs, then the development is carried out media validation, implementation as a media trial, and evaluation by revising to adjust the results of field trials. The results of this study are: (1) The results of the validation of the Hicah learning media developed are feasible to use and feasible to be tested on students and teachers with a media feasibility weight of 90% percent. (2) The responses of the blind students of SLB Negeri 1 Makassar, SLB-A YAPTI Makassar, and SLB Yukartuni to the Hicah learning media developed received a positive response. Student responses strongly agree by 83 percent. (3) The responses of mathematics teachers and class teachers at SLB Negeri 1 Makassar, SLB-A YAPTI Makassar, and SLB Yukartuni to the Hicah learning media developed were given a very good response. The positive response of the teacher can be seen from the percentage of 100 percent positive response.
Authentication of medical images through a hybrid watermarking method based on Hermite-Jigsaw-SVD

This work presents a watermarking algorithm applied to medical images by using the Steered Hermite Transform (SHT), the Singular Value Decomposition (SVD), and the Jigsaw transform (JS). The principal objective is to protect the patient’s information using imperceptible watermarking and preserve its diagnosis. Thus, the watermark imperceptibility is achieved using the high-order Steered Hermite coefficients, whereas the SVD decomposition and the JS ensure the watermark against attacks. We use the medicine symbol Caduceus as a watermark. The metrics employed to evaluate the algorithm’s performance are the Peak Signal-to-Noise Ratio (PSNR), the Mean Structural Similarity Index (MSSIM), and the Normalized Cross-Correlation (NCC). The evaluation metrics over the watermarked image show that it does not suffer quantitative and qualitative changes, and the extracted watermark was recovered successfully with high PSNR values. In addition, several watermark extraction tests were performed against geometric and common processing attacks. These tests show that the proposed algorithm is robust under critical conditions of attacks, for example, against nonlinear smoothing (median filter), high noise addition (Gaussian and Salt & Pepper noise), high compression rates (JPEG compression), rotation between 0 to 180 degree, and translations up to 100 pixels.
Barry Schrader: Lost Analog

March 03 2023 Barry Schrader: Lost Analog Barry Schrader: Lost AnalogEx Machina Productions, CD-1002, 2022Available from Bandcamp, https://barryschrader.bandcamp.com/album/lost-analog; emp@barryschrader.com. Ross Feller Ross Feller Gambier, Ohio, USA Search for other works by this author on: This Site Google Scholar Author and Article Information Ross Feller Gambier, Ohio, USA Online ISSN: 1531-5169 Print ISSN: 0148-9267 © 2023 Massachusetts Institute of Technology2023Massachusetts Institute of Technology Computer Music Journal 1–3. https://doi.org/10.1162/comj_r_00627 Cite Icon Cite Permissions Share Icon Share Facebook Twitter LinkedIn MailTo Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation Ross Feller; Barry Schrader: Lost Analog. Computer Music Journal 2023; doi: https://doi.org/10.1162/comj_r_00627 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsComputer Music Journal Search Advanced Search This content is only available as a PDF. © 2023 Massachusetts Institute of Technology2023Massachusetts Institute of Technology Article PDF first page preview Close Modal You do not currently have access to this content.
Evaluation in Machine Translation and Computer-Aided Translation

This chapter introduces the key issues and basic principles of computer(-aided) translation evaluation, covering its historical evolution, context-dependent multi-dimensional nature, and existing methodologies. The major evaluation approaches, including both manual and automatic, are presented with discussion of their strengths and weaknesses.
The Generality of Procurement Risks in the Context of Project Management

Project management in engineering, management, and sometimes business has a considerable contribution. Also, its importance can be observable in the risks of procurement. In the current literature review, the researchers endeavor to comprehensively explain all academic and theoretical definitions, history, process, and relations of these two primary and vital variables to make them clear and practical for scholars and those interested in this field. In fact, with this information and knowledge, studying and working in the project management area can be more reasonable and suitable for all interested scholars and those who plan to perform in this area. This study likewise demonstrates the connection between procurement risks and project management and the crucial function of project management in procurement. Typically, educated individuals in this area could also demonstrate better performance and significantly increase the level of process and outcome in project management in this study considered by the researchers.
Improving Students' Reading Comprehension by Using Kahoot!

The purpose of this study is to discover the process of using Kahoot! to improve student's reading comprehension, the improvement of students' reading comprehension after teaching with Kahoot!, and how students respond to the Kahoot! application. The researcher employed a classroom action research design (CAR), and data was gathered through the use of a test, questionnaire, and observation sheets. The outcome revealed that there was a positive response after the action was carried out. Following the action, 66,7% of students strongly agreed that Kahoot! could improve reading comprehension and 53,3% agreed that Kahoot! was effective in learning English. Furthermore, the students' mean pre-test score was 64, and 4 (26,7%) were able to pass the KKM. The mean score of post-test 1 was 69,3, and the percentage of students who passed the KKM was 6 (40%). The mean score of post-test 2 was 74,2, and the percentage of students who passed the KKM was 8 (53,3%). The mean score of post-test 3 was 78,3 and the class percentage of students who passed the KKM was 13 (87%). It can be concluded that Kahoot! is a suitable medium for use in high school, particularly for improving students' reading comprehension.
Controlled Languages

Controlled languages are subsets of natural languages that use a restricted vocabulary and grammar in order to reduce or eliminate ambiguity and complexity. Some of these controlled languages are designed to improve communication between humans. Some of them make it easier for non-native speakers to read technical documentation. Some aim to improve the quality of machine translation, and another group of controlled languages serve as high-level interface languages to semantic systems where automated reasoning is important.
Bitext

Bitext is an idea from the 1980s that was originally intended to primarily assist human translators in retrieving instances of words and phrases as treated by other human translators, and it has also turned out to be the basis for many other aspects of translation technology, from translation memory to machine translation. In a sense, it has evolved from a purely descriptive mechanism to a framework for translation that makes it difficult to break out of a sentence-by-sentence correspondence between source and target languages.
“Whispering MLaaS”

While recent advancements of Deep Learning (DL) in solving complex real-world tasks have spurred their popularity, the usage of privacy-rich data for their training in varied applications has made them an overly-exposed threat surface for privacy violations. Moreover, the rapid adoption of cloud-based Machine-Learning-asa-Service (MLaaS) has broadened the threat surface to various remote side-channel attacks. In this paper, for the first time, we show one such privacy violation by observing a data-dependent timing side-channel (naming this to be Class-Leakage) originating from non-constant time branching operation in a widely popular DL framework, namely PyTorch. We further escalate this timing variability to a practical inference-time attack where an adversary with user level privileges and having hard-label black-box access to an MLaaS can exploit Class-Leakage to compromise the privacy of MLaaS users. DL models have also been shown to be vulnerable to Membership Inference Attack (MIA), where the primary objective of an adversary is to deduce whether any particular data has been used while training the model. Differential Privacy (DP) has been proposed in recent literature as a popular countermeasure against MIA, where inclusivity and exclusivity of a data-point in a dataset cannot be ascertained by definition. In this paper, we also demonstrate that the existence of a data-point within the training dataset of a DL model secured with DP can still be distinguished using the identified timing side-channel. In addition, we propose an efficient countermeasure to the problem by introducing constant-time branching operation that alleviates the Class-Leakage. We validate the approach using five pre-trained DL models trained on two standard benchmarking image classification datasets, CIFAR-10 and CIFAR-100, over two different computing environments having Intel Xeon and Intel i7 processors.
PMFault: Faulting and Bricking Server CPUs through Management Interfaces

Apart from the actual CPU, modern server motherboards contain other auxiliary components, for example voltage regulators for power management. Those are connected to the CPU and the separate Baseboard Management Controller (BMC) via the I2C-based PMBus. In this paper, using the case study of the widely used Supermicro X11SSL motherboard, we show how remotely exploitable software weaknesses in the BMC (or other processors with PMBus access) can be used to access the PMBus and then perform hardware-based fault injection attacks on the main CPU. The underlying weaknesses include insecure firmware encryption and signing mechanisms, a lack of authentication for the firmware upgrade process and the IPMI KCS control interface, as well as the motherboard design (with the PMBus connected to the BMC and SMBus by default). First, we show that undervolting through the PMBus allows breaking the integrity guarantees of SGX enclaves, bypassing Intel’s countermeasures against previous undervolting attacks like Plundervolt/V0ltPwn. Second, we experimentally show that overvolting outside the specified range has the potential of permanently damaging Intel Xeon CPUs, rendering the server inoperable. We assess the impact of our findings on other server motherboards made by Supermicro and ASRock. Our attacks, dubbed PMFault, can be carried out by a privileged software adversary and do not require physical access to the server motherboard or knowledge of the BMC login credentials. We responsibly disclosed the issues reported in this paper to Supermicro and discuss possible countermeasures at different levels. To the best of our knowledge, the 12th generation of Supermicro motherboards, which was designed before we reported PMFault to Supermicro, is not vulnerable.
SOSIALISASI BERHITUNG CEPAT DENGAN TEKNIK FIVE FINGER DI RA AL ASHRIYAH KOTA LANGSA

The implementation of this community service activity was motivated by the low counting ability of the early childhood, as well as the lack of interest and motivation of children in fast counting. Thus, there were desires to know and examine children's numeracy abilities using the five finger method with learning media using their own body parts. The participants in this activity were 20 students of RA Al Ashriyah, Langsa City. The purpose of this activity was to foster interest and talent in preschool children in fast counting using the five finger method. The results of this socialization activity showed that the numeracy skills of RA Al Ashriyah children in Langsa City using the five finger method had increased compared to children who counted conventionally. This was seen when given practice questions, most of the children can quickly calculate the answers properly and correctly. This activity can also train children's quick counting skills by familiarizing children with learning simple things. In addition, this activity can increase children's creative thinking in utilizing objects around them as learning media.
Celebrating the launch of Nature Water - Part 3: Focus on social sciences and open science

To celebrate the launch of Nature Water, we have organized a series of webinars with some of the authors from the first issue. In this third webinar, editor Fabio Pulizzi will be talking to Julia Martin-Ortega about the role of social sciences in water research and with Rhea Verbeke and Stanislaus Schymanski about open science