Reviewerly/exHarmony huggingface dataset:
What BERTs and GPTs know about your brand? Probing contextual language models for affect associations

Investigating brand perception is fundamental to marketing strategies.In this regard, brand image, defined by a set of attributes (Aaker, 1997), is recognized as a key element in indicating how a brand is perceived by various stakeholders such as consumers and competitors.Traditional approaches (e.g., surveys) to monitor brand perceptions are time-consuming and inefficient.In the era of digital marketing, both brand managers and consumers engage with a vast amount of digital marketing content.The exponential growth of digital content has propelled the emergence of pre-trained language models such as BERT and GPT as essential tools in solving myriads of challenges with textual data.This paper seeks to investigate the extent of brand perceptions (i.e., brand and image attribute associations) these language models encode.We believe that any kind of bias for a brand and attribute pair may influence customer-centric downstream tasks such as recommender systems, sentiment analysis, and question-answering, e.g., suggesting a specific brand consistently when queried for 'innovative' products.We use synthetic data and real-life data and report comparison results for five contextual LMs, viz.BERT, RoBERTa, DistilBERT, ALBERT and BART.
MANAJEMEN PERPUSTAKAAN DALAM PENINGKATAN KUALITAS LAYANAN DAN MINAT BACA

Abstract: This research aimed to find out about library management which included planning, organizing, staffing, directing, and controlling for the improvement of service and students reading interest at SMPN 3 Salatiga. This research used qualitative approach. Type of this research was descriptive. The research was done in Adyama Pustaka Library of SMPN 3 Salatiga. Data was collected by observation, interview, and documentation. From the result of the research, it can be concluded that: 1) planning of library work program at SMPN 3 Salatiga is in accordance with the planning of library program which are purpose, policy, strategy, and program. All of formulated work program has described about the purpose, policy, strategy, and upcoming program to achieve the desire result. 2) Implementation of library work program at SMPN 3 Salatiga in improving the quality of service and reading interest includes; implementation of differentiation program, processing literature, implementation of service program, implementation of data analysis program, implementation of students activity program, implementation of promotion program, and implementation of inventory taking. The implementation of library work program at SMPN 3 Salatiga has been running well. Then, added by establishment with intern and extern part. 3) Evaluation of planning and implementation of library work program is as a basis for determining policies in the following year.Keywords: Service Quality; Library Management; Reading Interest
Research Skills in the Professional Formation of Cadets of Educational Organizations of the Ministry of Internal Affairs of Russia

Along with the development of society, comes the development of crime. Advances in science and technology are used not only for constructive purposes, but also for destructive, criminal ones, making the work of law enforcement officers much more difficult. In order to effectively confront the crime that keeps pace with the times, attention must be paid to the process of training cadets – future law enforcement officers. As one of the most important aspects of preparing cadets for future professional activity the author highlights the formation of research skills. Based on the analysis of the literature on the research activities of students of higher educational institutions, the prerequisites for the formation of research skills among cadets are revealed. The stages of mastering of research activities by students are described, as well as barriers that hinder such mastery. The manifestations of creativity and research activities are specified, which are necessary even in the conditions of the Ministry of Internal Affairs system with the dominance of subordination and imperative methods of interaction. As a result of the research, it was concluded that the future professional activity of cadets inevitably includes a research component. Keywords: research activity, research skills, research competence, cognitive activity, search activity, stages of mastering the research activity
Leveraging Partial Dependency Trees to Control Image Captions

Controlling the generation of image captions attracts lots of attention recently.In this paper, we propose a framework leveraging partial syntactic dependency trees as control signals to make image captions include specified words and their syntactic structures.To achieve this purpose, we propose a Syntactic Dependency Structure Aware Model (SDSAM), which explicitly learns to generate the syntactic structures of image captions to include given partial dependency trees.In addition, we come up with a metric to evaluate how many specified words and their syntactic dependencies are included in generated captions.We carry out experiments on two standard datasets: Microsoft COCO and Flickr30k.Empirical results show that image captions generated by our model are effectively controlled in terms of specified words and their syntactic structures.The code is available on GitHub 1 .
IMAGE COMPRESSION USING METHOD ON DCT (DISCRETE COSINE TRANSFORM) LOW RESOLUTION CAMERA

Image compression remains a material for analysis in discussions and challenges are always tested for the level of optimization all the time because any image that is visually visible to the human eye needs to be shared and transmitted to others.In this transmission process, you will be faced with speed constraints and the similarity of information contained in the source image.The process of transferring data between digital devices is demanded to have high speed and small file size for reasons of saving storage space.The low resolution camera type is chosen to save the infrastructure cost user and the maintenance cost is quite low, but it is still optimal for use in surveillance camera applications, webcams and area detection cameras that do not require moving image capture.The DCT (method was Descret Cosine Transform) chosen because it has tested its optimization level in image compression.In the simulation with Mat Lab, it can be seen that the image blocks are separated to be quantified and processed by the encoder by performing a re-construction.This will result in a smaller image file size than the source image file without losing too much information in the image.
A Comprehensive Survey: Internet of Remote Things Based Denoising Video Streams by Employing Different Filtering Techniques to Significantly Enhance Video Synthesis

The IoT is a version of the Web that does not require human interaction. Corporal objects such as home appliances, vehicles, sensors, and other sensors are improving their ability to sense information and communicate with one another. The IoT is a global network of billions of cognitive and wired that link physical and virtual entities to expand the world's boundaries. Every day, these universal smart things generate vast amounts of data, necessitating urgent data processing on a variety of smart devices. Interconnecting nodes when they are separated over large topographical areas, which is present in Internet of Remote Things, has recently been highlighted as a major challenge for Internet of Things (IoRT). It could be required to predominate in remotely monitoring patients in situations where connectivity infrastructure that enables video transmissions from emergency rooms (ICU) is critical. Noise, which is common in low-light conditions or from limited performance cameras, is a significant cause of compression and quality degradation. Denoising was used regardless of the code for pre-processing or post-processing in past researches that tried to integrate a denoise algorithm and a video encoder. However, since noise has a major impact on compression performance, this method must be closely coupled with encoding. Furthermore, since the encoding method and a denoise algorithm have several parallels, this represents a significant opportunity to reduce computational complexity. To overcome this primary challenge denoising of various videos received from multiple locations is preferred. Denoising is a step in the pre-processing process that improves the image quality and makes it more uplifting. The SNR ratio is high, so to eradicate it a non-linear filter technique called Median Filter is used. So many Median filters are available but 3D filtering provides more efficient measures in preserving the edges of video frames. For benchmarking collective performance PSNR, UIQI & SSI are used as quality assessment metrics to provide a high-performance noise free video. The simulation results show that the 3D median variants outperform other image noise filtering methods in a number of metrics, resulting in a strong noise filter for IoT devices.
An experimental methodology to capture user and gameplay data tied to cybersickness

Virtual reality (VR) and head-mounted displays are constantly gaining popularity in various fields such as education, military, entertainment, and bio/medical informatics. Although such technologies provide a high sense of immersion, they can also trigger symptoms of discomfort. This condition is called cybersickness (CS) and is quite popular in recent publications in the virtual reality context. We created and conducted an iterative evaluating protocol methodology and proposed two VR games (a racing game and a flight game). The recorded data can be used for further machine learning analysis tied to cybersickness.
THE IMPLEMENTATION OF GENRE-BASED APPROACH IN TEACHING WRITING TEXT FOR TENTH GRADE AT SMA YAYASAN PENDIDIKAN MULIA

THE IMPLEMENTATION OF GENRE-BASED APPROACH INTEACHING WRITING TEXT FOR TENTH GRADE AT SMA YAYASANPENDIDIKAN MULIA*Nurvita Sari Musdiani Silalahi**Dr. Masitowarni Siregar, M.Ed.ABSTRACTNurvita Sari Musdiani Silalahi, 2021. Registration Number: 2163321037. TheImplementation of Genre-Based Approach in Teaching Writing Text forTenth Grade at SMA Yayasan Pendidikan Mulia. A Thesis. English andLiterature Department. Faculty Languages and Arts. State University ofMedan, 2021.The objectives of this study were to discover the implementation of Genre-BasedApproach in teaching writing text for Tenth Grade at SMA Yayasan PendidikanMulia and to investigate the reasons why teachers use Genre-Based Approach.This study was conducted by using descriptive qualitative design. The subject ofthis study was English teacher and students in grade tenth from SMA PendidikanMulia. The techniques of collecting data were observation, interview, anddocumentation. The data were taken from SMA Swasta Mulia Medan, from theresearch, it was found that in applying Genre-Based Approach in Englishcurriculum, and there are five steps that teacher implemented: building knowledgeof field, modeling, joint construction, independent construction and linking relatedtext. From the teacher‟s interview, the result could be found that the reasons whythe teacher of SMA Swasta Mulia Medan using Genre-Based Approach and theproblem faced by teacher and also the solution in teaching writing text.Keywords: Genre-Based Approach, Descriptive Text, Writing Skill.
Pragmatic Politeness of the Imperative Speech Used by the Elementary School Language Teachers

As a means of communication, the politeness aspect of language always comes together with interpersonal communication. People can reflect politeness in communication activities through their verbal language. This research aims to analyze and describe the elementary school language teachers' imperative speech focusing on the form, meaning, and imperative pragmatic politeness. This study is descriptive qualitative research. The data were teachers' speeches during the teaching-learning process. The data were collected by using the observation method with observing, recording, and note-taking techniques. The imperative pragmatic meaning of the prohibition and interrogative speech describes the pragmatic meaning of imperative commands widely used by SD Integral Lukman al-Hakim Sumenep language teachers. Meanwhile, according to Leech's politeness principles, the teachers use six maxims categories; tact maxim, generosity maxim, approbation maxim, modesty maxim, agreement maxim, and sympathy maxim. In addition, imperative speech with the complete agreement is also found, namely in the form of action as a student's reaction to the teacher's imperative speech; the findings also prove that imperative speech found in the imperative form and the non-imperative form of politeness. Both of the politeness in the speech of the Language teacher forms are based on the construction of Leech's politeness principles.
PENGEMBANGAN ALAT BANTU PENYUSUNAN DAN BIMBINGAN KARYA ILMIAH DENGAN MODEL SKILL TREE

ABSTRACT:This study aims to: (1) produce a product in the form of an android application as a tool for the preparation of scientific papers using the skill tree model; (2) knowing the results of the software performance that using the skill tree model. This research is development research with a combined method of the waterfall method and Dick and Carey. This study focuses on software functionality so that testing is carried out by software quality control. Research data obtained through observation, interviews, a document study, and questionnaires. The results of this study are: (1) the product is developed by applying the skill tree model in an android application designed using Android Studio; (2) the test results by quality control, seen from the aspects of functionality, reliability, efficiency, maintainability, and portability, obtained a percentage of 76.9% (Very Good) for supervisor and 77.8% (Very Good) for teacher applications.ABSTRAK:Penelitian ini bertujuan untuk: (1) menghasilkan produk berupa aplikasi android sebagai alat bantu penyusunan karya ilmiah dengan model skill tree; (2) mengetahui hasil unjuk kerja software yang menggunakan model skill tree. Penelitian ini merupakan penelitian pengembangan dengan metode gabungan antara metode waterfall dan Dick and Carey. Penelitian ini memberikan fokus pada fungsionalitas perangkat lunak sehingga pengujian dilakukan oleh quality control perangkat lunak. Data penelitian diperoleh melalui observasi, wawancara, studi dokumen, dan angket. Hasil penelitian ini adalah sebagai berikut: (1) produk dikembangkan dengan menerapkan model skill tree dalam aplikasi android yang dirancang menggunakan Android Studio; (2) hasil pengujian oleh quality control dilihat dari aspek functionality, reliability, efficiency, maintainability, dan portability didapat persentase 76,9% (Sangat Baik) untuk pembimbing dan 77,8% (Sangat Baik) untuk aplikasi guru.
Penerapan Metode Naïve Bayes untuk Prediksi Minat Baca Berdasarkan Usia

Reading is one of the activities favored by all circles of society, and a place that can be visited for reading activities is the library. One of them is the Pajajaran Sports Hall Library, based on the data obtained from more than 100 visitors who come to visit the Pajajaran Sports Hall Library each year. However, visitors who borrow do not necessarily have a high reading interest. In this study, an application was made that can predict library visitors who have a high reading interest. In order to predict future reading interest using the method Naive Bayes. It uses variables obtained from borrowing data and carried out preprocessing and obtained several variables used to make predictions, namely name, book category, number of late days, age group, and level of reading interest. This is done to predict the reading interest of visitors to the Pajajaran GOR Library, who have a high level of reading interest and a low level of reading interest. So that the librarian can find out the level of reading interest of the visitors, and the collection of books in the Pajajaran GOR Library can be increased based on the preferred book category of all ages. The accuracy test has also been carried out using the formula confusion matrix with an accuracy value of 80%, which means that the application that has been made is suitable for use.
EMOTIONAL STABILITY AS A PROFESSIONALLY IMPORTANT QUALITY OF THE TEACHER'S PERSONALITY

Improving the quality of professional and pedagogical training of teachers is a priority task facing the education system. However, the analysis of psychological and pedagogical research shows that teachers are very concerned about the state in which the level of training does not fully meet the requirements of modern schools. The problem of forming emotional stability of teachers (ES) is particularly poorly studied. The analysis of the modern experience of the education system shows that at present there is no complete system for forming the teacher's ES, which is necessary for the successful self-realization of the teacher. Thus, ES is a necessary component of the emotional culture and professional competence of the teacher and an integrative property of the individual, characterized by the interaction of emotional, volitional, intellectual and motivational components of the individual's mental activity, ensuring optimal successful achievement of the goal of activity in difficult emotional conditions
Confrontations and Limitations on the Freedom of Expression in Pakistan

The significance of the right to free speech is evident from the fact that the societies that curb and limit the freedom of expression are more prone to crimes and incidents of torture, ill-treatment and disappearances. Almost every state has imposed restrictions on the right to free speech on account of national security, defamation, religious hatred, extremism or radicalism. This article starts with the general discussion on the topic of free speech under the Pakistani laws and current regime. It examines the limitations on the freedom of speech under judicial interpretations. The article explores the confrontations in the context of defamation, blasphemy laws and contempt of court in Pakistan. It concludes that the limitations and restrictions imposed on the right to free speech must be clearly defined and reasonable.
Classification of Teachers and Lecturers Engagement on Webinar during the Pandemic using the Utilization of Big Data

The Pandemic had a big impact on education in Indonesia and also in the world. In early 2020, during this pandemic, face-to-face meetings have turned into virtual or online meetings for both the learning process and seminars or workshops. The rapid development of technology supports this change in the world of education, this can be seen from the number of online seminars conducted to improve the competence of lecturers or teachers. The development of this online seminar allows the circulation of information that is increasingly large, fast, and almost unlimited by time and space. This causes a large amount of information to be scattered in the virtual world in various fields. With this very fast information technology, trillions of bytes of data are created every day from various sources such as on social media, especially those related to applications that are often used in website-based seminar media. This is called unstructured big data. In this study, big data will be implemented to classify educators' engagement of online seminar participants during an early pandemic. The activity stages in big data management and data processing support are acquired, accessed, analytical, and applied. The method for this study is the Adaptive Neuro-Fuzzy Inference System (ANFIS) to classify the engagement of teachers and lecturers an online seminar. The results of the training error obtained from ANFIS are 0.273482 with the ANFIS structure 4-12-12-12-1 or 4 inputs, 12 hidden layers, and 1 output.
GENERATING KNOWLEDGE STRUCTURES FROM OPEN DATASETS' TAGS - AN APPROACH BASED ON FORMAL CONCEPT ANALYSIS

Under influence of data transparency initiatives, a variety of institutions have published a significant number of datasets. In most cases, data publishers take advantage of open data portals (ODPs) for making their datasets publicly available. To improve the datasets' discoverability, open data portals (ODPs) group open datasets into categories using various criteria like publishers, institutions, formats, and descriptions. For these purposes, portals take advantage of metadata accompanying datasets. However, a part of metadata may be missing, or may be incomplete or redundant. Each of these situations makes it difficult for users to find appropriate datasets and obtain the desired information. As the number of available datasets grows, this problem becomes easy to notice. This paper is focused on the first step towards decreasing this problem by implementing knowledge structures to be used in situations where a part of datasets' metadata is missing. In particular, we focus on developing knowledge structures capable of suggesting the best match for the category where an uncategorized dataset should belong to. Our approach relies on dataset descriptions provided by users within dataset tags. We take advantage of a formal concept analysis to reveal the shared conceptualization originating from the tags' usage by developing a concept lattice per each category of open datasets. Since tags represent free text metadata entered by users, in this paper we will present a method of optimizing their usage through means of semantic similarity measures based on natural language processing mechanisms. Finally, we will demonstrate the advantage of our proposal by comparing concept lattices generated using formal the concept analysis before and after the optimization process. The main experimental research results will show that our approach is capable of reducing the number of nodes within a lattice more than 40%.
A TEXTUAL ANALYSIS ON POWER DISTRIBUTION IN THE CLAUSES OF NEW INPUTS OF NATIONAL EDUCATION POLICY DRAFT IN INDIA

Power is something that is useful to make things better or even worse. Those who have more power might be able to change or create something as they wish to be. The revamped proposal on the national education policy in India structured by the Ministry of Human Resource Development in 2016 becomes one example of how the power can be distributed through a national policy to instruct how the Indian education system should be, especially for a pre-primary student. The research tries to reveal the power distribution among Indian Governmental Institutions by using a descriptive qualitative research design with a textual analysis of Systemic Functional Linguistics (SFL) approach, concerning MOOD framework using MOOD elements Adjuncts and the Modality formed by Halliday (2004). The input on the New National Education Policy draft that is assessed is the one that is related to the pre-primary student by pointing out the MOOD Framework and Modality to see different power representations distributed by the Ministry of Human Resource Development to other institutions. Besides, this research will also reveal which excerpts have the most powerful representation.
Implementation of image search system for event photo albums

The growing amount of image data (produced in a multitude of different ways – for example, like photo albums from various events) and lack of a direct search method for image information frequently create a situation in which end users of the service that publishes such data want to find themselves but cannot do it faster than looking through all entries one by one. The objective of this study is to develop and implement an approach that would be able to process this kind of data source and extract images similar to those provided by end-users in an on-demand manner. To this end, the modern methods for extract and compressing faces are introduced and applied.