Reviewerly/exHarmony huggingface dataset:
Phonological effects on word order: AB constructions in Hebrew

The literature on what we call AB constructions (freezes, irreversible binomials), such as odds and ends and copy paste, attributes the fixed word order to both phonological and non-phonological, mostly semantic constraints. However, some researchers attribute a prominent role to phonology, while others view semantics as the major contributor to word order of AB constructions. In this paper we evaluate the role of phonology in Hebrew AB constructions with reference to a harmonic grammar with weighted constraints, where constraint weight is calculated on the basis of its effect in our corpus. The grammar reveals that semantic constraints weigh more than phonological constraints in both the cumulative weight and the average weight. Nevertheless, phonology affects a great number of data items, in particular those where semantic constraints are mute. We thus conclude that although syntax and semantics are responsible for word order, phonology determines word order when the other modules do not have a say.
Towards an Adaptive Clinical Transcription System for In-Situ Transcribing of Patient Encounter Information

Electronic patient charts are essential for follow-up and multi-disciplinary care, but either take up an exorbitant amount of time during the patient encounter using a key-stroke entry system, or suffer from poor recall when made long after the encounter. Transcribing in-situ, natural dictations by the clinician, recorded during the encounter, with minimal workflow impact, is a promising solution. However, human transcription requires significant manual resources, whereas automated transcription currently lacks the accuracy for specialized clinical language. Our ultimate goal is to automate clinical transcription, particularly for Emergency Departments, with as an end-result a structured SOAP report. Towards this goal, we present the Adaptive Clinical Transcription System (ACTS). We compare the accuracy and processing times of state-of-the-art speech recognition tools, studying the feasibility of streaming-style dynamic transcription and opportunities of incremental learning.
Upaya Meningkatkan Prestasi Belajar IPS dengan Model Science Technology Society Peserta Didik Kelas VIII B SMP Trisula Ngluwar Kabupaten Magelang

This study aims to improve social studies learning achievement with the Science Technology Society model for Class VIII B students at Trisula Ngluwar Middle School, Magelang Regency. This research is a classroom action research with the research subjects are students of class VIII B SMP Trisula Ngluwar totaling 22 students consisting of 14 male students and 8 female students. This research was conducted in two cycles, the first cycle consisted of two meetings and the second cycle consisted of two meetings. At the end of each cycle an evaluation is carried out. Data collection techniques using observation, evaluation of learning achievement results and documentation. The data analysis technique in this research is quantitative descriptive analysis. The results showed that the learning achievement of class VIII B SMP Trisula Ngluwar in social studies learning could be improved by using the Science Technology Society model. Social studies learning achievement during the pre-cycle students obtained an average of 53.11 with a percentage of 36.36% as many as 8 students got the minimum KKM score and 14 students still did not reach the KKM. It increased in the first cycle of student achievement to an average of 70.13 with a percentage of 59.09% as many as 13 students got the minimum KKM score and 9 children still did not reach the KKM. Increased in the second cycle of student achievement to an average of 78.13 with a percentage of 86.36% as many as 19 students get a minimum score of KKM and 3 students who have not reached the KKM.
Komparasi E-Modul dan Media Pembelajaran Berbasis Android Terhadap Hasil Belajar Siswa di Tinjau dari Motivasi Belajar Siswa

The purpose of this study was to determine the differences in student learning outcomes using e-modules and android-based learning media. And also to find out the differences in student learning outcomes in terms of student learning motivation. The research method used is an experiment with a factorial design. The population in this study consisted of 4 classes and the number of samples was 2 classes with 64 students. In practice, 1 class uses e-modules and the other class uses android-based learning media. Based on the results of the study, the class that uses the e module gets a higher average value than the android-based learning media class. This is because the e-module is easier to use and lighter when installed on a student's smartphone.
Ijuanderer: An Augmented Reality-Based Gamified Local Tourism and Cultural Heritage Promotion and Preservation

iJuanderer AR: An Augmented Reality-based Gamified Local Tourism and Cultural Heritage Promotion and Preservation aims to add museum setups using augmented reality (AR) technology, and improves visitor experience and remote visiting of museums through a companion website. Its first phase, or exploratory phase features Tarlac and its provincial museum and showcases tourism information for dining, accommodation, heritage sites, and natural spots. The museum, “Diwa ng Tarlac” translated in English as “Essence of Tarlac” was chosen as the host of the scanned artifacts and as the location for the testing for external user acceptance (external UAT). The acceptance test scores were measured using a Likert-type scale and the average score for all screens is 4.23. Thus, to address the comments gathered from the UAT in Diwa ng Tarlac, systems improvement was done and implemented for the final roll-out of the iJuanderer application.
Digital Literacy Skills Used in Iraqi EFL University Classes during COVID-19 Pandemic

result of the Covid-enforced shutdown in late-2020. Digital literacy is the ability to share, find, create, and evaluate content using the internet. Digital literacy is the literacy that demands a cognitive level to analyze, access, and make information from digital devices. This study attempts to find out the digital literacy skills used in Iraqi EFL University classrooms. The study sample is 150 4th –year EFL undergraduates, of the College of Education for Human Sciences, Wasit University. Results illustrated that item 2 achieved the highest weighted mean (4.68. 93%). Meanwhile, item 19 got the lowest weighted mean (2.34. 46%). The study, therefore, recommends that instructors and students keep up to date, develop their own digital competencies, and understand how digital devices can help present information in their own native language.
Pengembangan Media Pembelajaran Interaktif Berbasis Multimedia pada Mata Pelajaran Tarikh

Date learning materials are generally in the form of text, so an innovation in interactive multimedia-based learning media is needed for date subjects. The purpose of this study was to develop interactive learning media, to find out the evaluation and feasibility of media according to material experts, media experts and educators for interactive multimedia-based learning media on the subject of the main material date (the development of Islam in Indonesia during the Dutch colonial period) at Muhammadiyah Somagede Vocational School and the feasibility of the learning media. This research is a type of Research and Development (RND) research with qualitative and quantitative collection techniques. Qualitative data obtained from the results of the questionnaire in the form of explanations, suggestions from material experts, media experts, and educators. Quantitative data was obtained from the results of the questionnaire test in the form of values 5, 4, 3, 2, and 1 which were converted into qualitative data. The instrument used for data collection in the product development process is a questionnaire. Questionnaires were made for 3 respondents, namely material experts, media experts and educators. The development procedure used uses the ADDIE development procedure (analysis, design, development, implementation, evaluation). The results of research and development use the ADDIE development procedure (analysis, design, development, implementation, evaluation). The analysis phase includes field studies. The design stage includes making flowcharts and storyboards. The development phase of interactive learning media product development, validation and revision. The implementation stage is carried out once in a trial, which is tested on educators. The results of the evaluation of the material experts for stage 1 obtained an average of 4.3 and stage 2 obtained an average of 4.5 in the aspects of learning and content and the total overall score was 4.5 with a very good category. Media experts on programming and display aspects at stage 1 got an average score of 4.9 and at stage 2 got an average score of 5 so that the overall score got an average score of 5 in the very good category. The feasibility of learning media based on trials on date subject educators got an average of 4.9 with a very good category. Thus, interactive learning media on the subject of the subject matter date (the development of Islam in Indonesia during the Dutch colonial period) at SMK Muhammadiyah Somagede is feasible to use.
Credit Card Fraud Detection using Autoencoders

In today’s life or economy credit card plays a veryimportant role. Credit card becomes a necessary part of business, household and bank transactions. Using of credit card carefully and responsibly gives a enormous benefit to the user, fraudulent activities happen and give financial damage to the user or card holder. The growth of E-commerce industry led to use of credit card or many platform for online purchase or different transaction because of this the fraudulent activities was also increased. Bank facing many issues for detecting the credit card fraudulent transactions. For finding the fraud of credit card machine learning plays a vital role. For predicting these fraud detection of credit card we use many machine learning methods or algorithms, past data we collect and analyze it and make a machine learning model to detect the fraudulent activities which going to happen. The performance of fraud detecting in credit card transaction is greatly affected by sampling approach on data-set, selection of variable and detection technique used. This project objective to use of efficient approach to detect automatic fraud related to banks or insurance company using deep learning algorithm called autoencoder. We are using the European card holder real-time dataset of September 2013. The data was unbalanced in the dataset so for this autoencoder is perfect to provide the accurate results. We can reconstruct the normal data through the autoencoder and anomalies was detected at the time of reconstruction error threshold and consider the anomalies. Keyword: fraud detection, unsupervised learning, autoencoder, credit card
Set-multilinear and non-commutative formula lower bounds for iterated matrix multiplication

An Algebraic Formula for a polynomial P∈ [x1,…,xN] is an algebraic expression for P(x1,…,xN) using variables, field constants, additions and multiplications. Such formulas capture an algebraic analog of the Boolean complexity class NC1. Proving lower bounds against this model is thus an important problem.
Cross-modal Representation Learning and Relation Reasoning for Bidirectional Adaptive Manipulation

Since single-modal controllable manipulation typically requires supervision of information from other modalities or cooperation with complex software and experts, this paper addresses the problem of cross-modal adaptive manipulation (CAM). The novel task performs cross-modal semantic alignment from mutual supervision and implements bidirectional exchange of attributes, relations, or objects in parallel, benefiting both modalities while significantly reducing manual effort. We introduce a robust solution for CAM, which includes two essential modules, namely Heterogeneous Representation Learning (HRL) and Cross-modal Relation Reasoning (CRR). The former is designed to perform representation learning for cross-modal semantic alignment on heterogeneous graph nodes. The latter is adopted to identify and exchange the focused attributes, relations, or objects in both modalities. Our method produces pleasing cross-modal outputs on CUB and Visual Genome.
HiViT: Hierarchical Vision Transformer Meets Masked Image Modeling

Recently, masked image modeling (MIM) has offered a new methodology of self-supervised pre-training of vision transformers. A key idea of efficient implementation is to discard the masked image patches (or tokens) throughout the target network (encoder), which requires the encoder to be a plain vision transformer (e.g., ViT), albeit hierarchical vision transformers (e.g., Swin Transformer) have potentially better properties in formulating vision inputs. In this paper, we offer a new design of hierarchical vision transformers named HiViT (short for Hierarchical ViT) that enjoys both high efficiency and good performance in MIM. The key is to remove the unnecessary "local inter-unit operations", deriving structurally simple hierarchical vision transformers in which mask-units can be serialized like plain vision transformers. For this purpose, we start with Swin Transformer and (i) set the masking unit size to be the token size in the main stage of Swin Transformer, (ii) switch off inter-unit self-attentions before the main stage, and (iii) eliminate all operations after the main stage. Empirical studies demonstrate the advantageous performance of HiViT in terms of fully-supervised, self-supervised, and transfer learning. In particular, in running MAE on ImageNet-1K, HiViT-B reports a +0.6% accuracy gain over ViT-B and a 1.9$\times$ speed-up over Swin-B, and the performance gain generalizes to downstream tasks of detection and segmentation. Code will be made publicly available.
Penggunaan Media Pembelajaran IPS Berbasis Google Sites Di SMP Negeri 2 Gandrungmangu

The limitations of print media in terms of the amount, type and quality of data as well as the presence of technology to facilitate learning are the reasons for using Google sites-based media which are easier and more practical as well as up to date data according to the digital era or 21st century learning. The purpose of research on media use Social studies learning based on the Google site at SMP Negeri 2 Gandrungmangu is able to increase students' interest and motivation in learning and provide a learning experience that is different from conventional learning. Researchers made 1 social studies learning media based on Google Site with simple and limited development containing material from teaching material sources. The focus of the research is according to the purpose not on media development, so the method chosen is descriptive qualitative method. In collecting data using the observation method during learning practices with Google Sites media in a pandemic situation through limited face-to-face interviews, interviews were used to determine students' online learning experiences with social studies learning media based on Google Sites at home and documentation during learning. The results of this study include: increased student interest in learning media, student motivation, students' seriousness to pay attention to the material. The obstacles and problems encountered are the internet which is less stable.
Blockchain technology in the health sector

Rapid development and technological advancement have brought a lot of changes in the health industry. It makes use of a variety of technologies, including the Internet of Things” IoT and “Blockchain”. These innovations are being used in a variety of applications connected to daily healthcare activities. According to the Global Blockchain Study, numerous firms in several areas, including medical, are extending, their Blockchain activities. Even though “blockchain technology” has attracted a lot of attention in the last decade, there are still many barriers to its incorporation with IoT systems[17] and use in the medical industry. Blockchain technology is used to secure healthcare-related information securely to increase cybersecurity in the healthcare sector. A mixed-method (Primary Qualitative and Secondary Quantitative) is used to collect relevant data related to Blockchain technology in Health care.
SYSTEM OF CREATIVE TASKS AS ONE OF THE MEANS FORMATION OF READYNESS OF STUDENTS OF MUSIC SCHOOLS TO CREATIVE ACTIVITY

The system of the creative tasks using of traditional and untraditional methods of teaching (method of improvisation, method of association, and others) at the fourth stage of formation of the pupils' readiness to Creative activity is considered in the article.
Implementasi Metode First Come First Served Dalam Sistem Informasi Rental Mobil

Car rental is a transportation service that offers rental services for vehicles. This business can also help the community or immigrants who need four-wheeled vehicle rental services for various purposes and needs. Car rental currently still uses the bookkeeping method and manually analyzes the data for recording the rental transaction data. Website-based information systems also have an important role in supporting progress in the application of the car rental business so that they can carry out car rental business activities optimally with progress. Website-Based Car Rental Information System is designed using Sublime tools, Notepad++ and uses a MySQL database. The system design method used is First Come First Served, which is a system that is used to make reservations by paying in advance. The method applies a system of advance payment in advance to get this car unit for rent. From this research, the First Come First Served method is very beneficial for the admin because if there is no rental status payment, it will be taken by other users with the desired car unit.
Learning a Better Initialization for Soft Prompts via Meta-Learning

Prompt tuning (PT) is an effective approach to adapting pre-trained language models to downstream tasks. Without a good initialization, prompt tuning doesn't perform well under few-shot settings. So pre-trained prompt tuning (PPT) is proposed to initialize prompts by leveraging pre-training data. We propose MetaPT (Meta-learned Prompt Tuning) to further improve PPT's initialization by considering latent structure within the pre-training data. Specifically, we introduce the structure by first clustering pre-training data into different auxiliary tasks with unsupervised methods. Then we use these tasks to pre-train prompts with a meta-learning algorithm. Such a process can make prompts learn a better initialization by discovering commonalities among these auxiliary tasks. We evaluate our method on seven downstream tasks. Our MetaPT achieves better and more stable performance than the state-of-the-art method.
ORGANIZATION OF STUDENTS' EDUCATIONAL WORK TECHNICAL UNIVERSITIES

In the article some ways of further perfection of technical universities’ students’ educational work taking into consideration new conditions of education are discussed.
Mode Tim Dalam Media Quizizz Mampu Meningkatkan Motivasi dan Keaktifan Belajar Peserta Didik Kelas VI SDN Tanjunganom

The purpose of this research is to increase the motivation and activeness of students in the learning process. Through team mode, each student will contribute points to be accumulated into group scores. This research is a Classroom Action Research. The subjects of this study were students of class VI SDN Tanjunganom, Banyuurip District, Purworejo Regency totaling 25 children. Techniques Data collection is done with a questionnaire, observation. The data analysis technique used a quantitative descriptive technique with percentages. The results showed that 1) Quizizz Media team mode can increase students' motivation; this is indicated by the increasing number of students who have a minimum high motivation, from 40% in the pre-cycle, to 88% in the first cycle and 92% in the second cycle; 2) Team mode in Media Quizizz can increase student activity; this is indicated by an increase in the number of students who are included in the minimal activity category either from 44% in the pre-cycle, to 64% in the first cycle and 92% in the second cycle. The results of the research on motivation and activity as a whole have met the minimum criteria specified at 75% so that the research was stopped in cycle II.
Kombinasi Metode VIKOR dan Rank Order Centroid Dalam Pemilihan E-Marketplace

In a situation that is still being hit by the COVID19 Pandemic until now, it has an impact on the way people meet the needs of life, both primary and secondary needs. In one case, the pandemic also affected the shopping patterns of people who required them to shop online in order to reduce activities outside the home. So in this study the authors conducted research on the topic of Decision Support Systems in the selection of E-Marketplace. In this case, the author applies the VIKOR and Rank Order Centroid methods in assessing several sites or applications that are generally used by the public in online shopping activities. The alternatives used are Shopee, Lazada, Tokopedia, Bukalapak and Facebook Marketplace. For the criteria used, namely by using an assessment based on the User Interface, Product Completeness, Service Response, Transaction Process, and Delivery Service. The test results obtained are based on the calculation of the VIKOR method and the Rank Order Centroid against the alternatives and criteria used, Shoopee as the best alternative by obtaining a VIKOR index value of 1. Thus, it can be seen that the VIKOR method and Rank Order Centroid has been successfully applied to the recommendation system for marketplace selection.
STRUCTURAL-FUNCTIONAL MODEL OF PROFESSIONAL READINESS OF A FUTURE SOCIAL WORKER AS A BASIS FOR DIAGNOSING HIS PROFESSIONAL QUALITIES

The structural and functional model of forming the readiness of the future social worker for the socialization of orphans and children-deprived of parental care is theoretically grounded in the article.In the process of scientific research it was found out that the components of professional training of specialists in the specialty «Social Work» are: structural components (motivational-value, information-cognitive, organizational-activity, personal-reflexive), their criteria.The essence of the structural-functional model is revealed, which includes the following content blocks: motivational-target, semantic, operational-activity, control-effective.
A flexible functional-circular regression model for analyzing temperature curves

Changes on temperature patterns, on a local scale, are perceived by individuals as the most direct indicators of global warming and climate change. As a specific example, for an Atlantic climate location, spring and fall seasons should present a mild transition between winter and summer, and summer and winter, respectively. By observing daily temperature curves along time, being each curve attached to a certain calendar day, a regression model for these variables (temperature curve as covariate and calendar day as response) would be useful for modeling their relation for a certain period. In addition, temperature changes could be assessed by prediction and observation comparisons in the long run. Such a model is presented and studied in this work, considering a nonparametric Nadaraya-Watson-type estimator for functional covariate and circular response. The asymptotic bias and variance of this estimator, as well as its asymptotic distribution are derived. Its finite sample performance is evaluated in a simulation study and the proposal is applied to investigate a real-data set concerning temperature curves.