Reviewerly/exHarmony huggingface dataset:
Inclusiveness in Gurukul Education System

Education is as a jewel for human being. It enhances human dignity and prestige in the society. An educated person is also appreciated everywhere. Likewise, happiness is not less than the happiness that mother gives to man through education. It makes people strong. Therefore, education or knowledge is a precious asset of any person. Schooling is very significant to communicate knowledge for the generations to come. Schooling offers skills for people to receive their livelihood so that the lifestyle of people will be developed to make independence. Nowadays, there are worldwide practices on education around the world. Similarly, the education system needs to be relevant to the demand of the diverse culture, languages, ethnicity and tradition of a country. One of the practices in the field of education is the Gurukul education system. This is because all languages, cultures and civilizations of ancient times are in world heritage. According to the eastern philosophy in educational practices, that was mostly well recognized in the eastern part of the world such as India and Nepal. The Gurukul education system is the oldest and most former system of education in the present world. So, the purpose of this research study is to present the inclusiveness in Gurukul Education System.
Dense Pixel-to-Pixel Harmonization via Continuous Image Representation

High-resolution (HR) image harmonization is of great significance in real-world applications such as image synthesis and image editing. However, due to the high memory costs, existing dense pixel-to-pixel harmonization methods are mainly focusing on processing low-resolution (LR) images. Some recent works resort to combining with color-to-color transformations but are either limited to certain resolutions or heavily depend on hand-crafted image filters. In this work, we explore leveraging the implicit neural representation (INR) and propose a novel image Harmonization method based on Implicit neural Networks (HINet), which to the best of our knowledge, is the first dense pixel-to-pixel method applicable to HR images without any hand-crafted filter design. Inspired by the Retinex theory, we decouple the MLPs into two parts to respectively capture the content and environment of composite images. A Low-Resolution Image Prior (LRIP) network is designed to alleviate the Boundary Inconsistency problem, and we also propose new designs for the training and inference process. Extensive experiments have demonstrated the effectiveness of our method compared with state-of-the-art methods. Furthermore, some interesting and practical applications of the proposed method are explored. Our code is available at https://github.com/WindVChen/INR-Harmonization.
Groups of linear isometries on weighted poset block spaces

In this paper, we introduce a new family of metrics, weighted poset block metric, that combine the weighted coordinates poset metric introduced by Panek et al. [(\ref{panek})] and the metric for linear error-block codes introduced by Feng et al. [(\ref{FENG})]. This type of metrics include many classical metrics such as Hamming metric, Lee metric, poset metric, pomset metric, poset block metric, pomset block metric and so on. We give a complete description of the groups of linear isometries of these metric spaces in terms of a semi-direct product. Furthermore, we obtain a Singleton type bound for codes equipped with weighted poset block metric and define MDS codes. As a special case when the poset is a chain, we show that MDS codes are equivalent to perfect codes.
SMART BIN: A COMPREHENSIVE SOLUTION FOR SCRAP MANAGEMENT LEVERAGING MACHINE LEARNING FOR CUSTOMER SEGMENTATION REVOLUTIONIZING SCRAP MANAGEMENT: A WEB-BASED PLATFORM FOR EFFICIENT SCRAP MANAGEMENT

In recent years, environmental concerns have become increasingly important for many individuals and businesses.As a result, there has been a growing interest in recycling and upcycling, which can help reduce waste and conserve resources.This research paper presents a web application called "SmartBin" that addresses these concerns."Smart Bin" is a web application where one can sell or donate scrap instead of just throwing them.There are different types of scraps in our day-to-day life like plastic, newspaper, carton, etc. which people throw anywhere and also if they want to sell it they have to go to "kabadiwala" which makes it a hectic task.So to ease this process we are going to make this web application where the user can select his location through pincode or his/her location and they can easily sell or donate their scrap material from their homes.The application also features a section for users to purchase recycled or upcycled products, making it a one-stop shop for environmentally conscious consumers.There will be two sections in the web app one for the admin and another for the user where the user can sell the scrap and another section will be there for buying the upcycled products with a payment gateway through which the payment can be done and also some other sections will be there like price list where the user can check the price of different scrap material and after checking the price if they agree to sell the scrap then they request a pickup for their scrap material from their doorstep and also this will help to reduce the amount of unusual scrap that is thrown in the environment.Some machine learning concepts will be used in this project, these are customer segmentation and the Product Recommendation system The Customer Segmentation part will be used to group customers based on similar characteristics, such as demographics, behavior, or purchasing history
Reservoir computing based on solitary-like waves dynamics of film flows: a proof of concept

Several theoretical works have shown that solitons -- waves that self-maintain constant shape and velocity as they propagate -- can be used as a physical computational reservoir, a concept where machine learning algorithms designed for digital computers are replaced by analog physical systems that exhibit nonlinear dynamical behaviour. Here we propose and experimentally validate a novel reservoir computing (RC) system that for the first time employs solitary-like (SL) waves propagating on the surface of a liquid film flowing over an inclined surface. We demonstrate the ability of the SL wave RC system (SLRC) to forecast chaotic time series and to successfully pass essential benchmark tests, including a memory capacity test and a Mackey-Glass model test.
Real-time Twitter Sentiment Analysis for Moroccan Universities using Machine Learning and Big Data Technologies

In recent years, sentiment analysis (SA) has raised the interest of researchers in several domains, including higher education. It can be applied to measure the quality of the services supplied by the higher education institution and construct a university ranking mechanism from social media like Twitter. Hence, this study presents a novel system for Twitter sentiment prediction on Moroccan public universities in real-time. It consists of two phases: offline sentiment analysis phase and real-time prediction phase. In the offline phase, the collected French tweets about twelve Moroccan universities were classified according to their sentiment into ‘positive’, ‘negative’, or ‘neutral’ using six machine learning algorithms (random forest, multinomial Naive Bayes classifier, logistic regression, decision tree, linear support vector classifier, and extreme gradient boosting) with the term frequency-inverse document frequency (TF-IDF) and count vectorizer feature extraction techniques. The results reveal that random forest classifier coupled with TF-IDF has obtained the best test accuracy of 90%. This model was then applied on real-time tweets. The real-time prediction pipeline comprises Twitter streaming API for data collection, Apache Kafka for data ingestion, Apache Spark for real-time sentiment analysis, Elasticsearch for real-time data exploration, and Kibana for data visualization. The obtained results can be used by the Ministry of higher education, scientific research and innovation of Morocco for decision-making process.
An Updated Show of Hands

It is a tried and tested technique to gauge the overall understanding of a class: a multiple-choice quiz with a show of hands for who thinks the answer is a, b or c. Although quick and easy, how much does it really measure the students’ understanding? On top of that, how useful is it as an informal formative assessment? A few students usually dominate the class and less confident students may not put up their hand, or may follow what their classmates are doing, and hence both the learner and educator may never know the individuals’ true answer.Here we discuss “an updated show of hands”, whereby students scan a QR code to take them to a real-time quiz hosted on the Moodle Virtual Learning Environment (VLE), that they can answer on their smart device. All students answer the same question at the same time, and after a set time, the correct answer is revealed and the class results for that question are then displayed to everyone as an anonymous percentage. Whilst this updated method has the obvious advantage of anonymity and the obvious disadvantage of potential technical problems, in this case study we provide a full description of the implementation and an in-depth discussion on the pedagogy and practicalities of the updated show of hands – the real-time smart device quiz.
Improving Surgical Situational Awareness with Signed Distance Field: A Pilot Study in Virtual Reality

The introduction of image-guided surgical navigation (IGSN) has greatly benefited technically demanding surgical procedures by providing real-time support and guidance to the surgeon during surgery. \hi{To develop effective IGSN, a careful selection of the surgical information and the medium to present this information to the surgeon is needed. However, this is not a trivial task due to the broad array of available options.} To address this problem, we have developed an open-source library that facilitates the development of multimodal navigation systems in a wide range of surgical procedures relying on medical imaging data. To provide guidance, our system calculates the minimum distance between the surgical instrument and the anatomy and then presents this information to the user through different mechanisms. The real-time performance of our approach is achieved by calculating Signed Distance Fields at initialization from segmented anatomical volumes. Using this framework, we developed a multimodal surgical navigation system to help surgeons navigate anatomical variability in a skull base surgery simulation environment. Three different feedback modalities were explored: visual, auditory, and haptic. To evaluate the proposed system, a pilot user study was conducted in which four clinicians performed mastoidectomy procedures with and without guidance. Each condition was assessed using objective performance and subjective workload metrics. This pilot user study showed improvements in procedural safety without additional time or workload. These results demonstrate our pipeline's successful use case in the context of mastoidectomy.
Web-Based Design of BIPA Placement Test Instrument for Foreign Speakers

This study aimed to develop a web-based Indonesian-language placement test instrument for foreign speakers, commonly called BIPA (Bahasa Indonesia bagi Penutur Asing). The research method involved design-based research (DBR) with test instrument development procedures developed by the Association of Language Testers in Europe. The results show that 89% of respondents strongly agreed that the development of a BIPA placement test instrument was very much needed in BIPA learning. To triangulate the data from the interviews and questionnaire, a bibliometric analysis was performed. From the results of the bibliometric analysis, 117 studies were found on foreign-language placement tests in the 2012–2022 range and there was no research on the development of BIPA placement test instruments. The BIPA placement test is designed to measure the level of Indonesian-language skills of foreign speakers, which include listening, reading, writing, and speaking skills. This test can be used by teachers/institutions to determine the level of Indonesian-language skills of foreign speakers, starting from levels A 1, A-2, and B-1. This test is also useful for authorized institutions to provide Indonesian-language certification to foreign speakers who need it. Further research can be done with the development of BIPA test instruments for intermediate and advanced levels.
Academic Curriculum and Labor Market Mismatch: A Study on University Graduates in Bangladesh

The undergraduate program is a major steppingstone to build a career. After getting tertiary education, large number of graduates remain unemployed for a prolonged period. Studies have indicated the presence of a mismatch between the curriculum and job market requirements. This study tries to explore the gap from fresh graduates’ perspective, who are the sufferers. Their perception regarding the current tertiary education curriculum and expectations about it may help address the issues and redesign the curriculum. Graduates from Business Administration, Science and Engineering, Arts and Social Sciences, Medical and Dental studies were interviewed on a range of questions about their respective curriculums, job market scenario, prospective skills and others. This study follows qualitative norms to find the results and presents it in descriptive manner. The results show increased preference of changing and reforming the current university curriculum for the convenience of getting a job. From their experience in the labor market, graduates have expressed lower level of satisfaction about current curriculum and do feel the necessity of new skills to find a job. Most of the graduates prefer shifting their field of higher studies and job due to lack of relevant employment opportunities. This study argues that, OBE and blended learning should be implemented in higher education institutes to meet the challenges of Industry 4.0.
Fabrication of Battery-Operated Roof Paint Sprayer with Automatic Charging Off System

The study was conducted at Barangay San Juan, Aborlan, Palawan, and was evaluated from April to December 2021. Fabrication of the device was based on the needs of roof painters to lessen their exposure to sunlight during roof painting. The roof paint sprayer was divided into three major parts. First, the container served as overall part with hand carry at the top, which weighs 6 kilograms when empty but approximately 11 kilograms when full. Second, the direct current motor is rated 60 W, 12 V nominal, maximum flow of 5 liters per minute, and a maximum pressure of 116 psi. The base of the motor was fitted at the bottom while the hole of the first container is connected to the inflow of the motor, and a hose with an adjustable nozzle is connected to the outflow. Third, the power source consisted of a connector cord, female socket, 12V transformer, circuit board, green LED, 12Vdc battery, battery indicator, and switch. The performance evaluation of the device revealed during testing showed that at the start the roof paint sprayer works smoothly and sprayed almost 1/3 area of the target area (10×3 meters) for almost 2 minutes but suddenly as it sprayed, the dc motor starts difficult to run until it stopped. The major benefit of the device, if studied further, will spray faster on roofs and smooth output.
Model Index Card Match: Active Students in Class on Prayer Material

The learning model is a design or flow that is planned by the teacher when carrying out learning activities in order to achieve learning objectives. The existence of this learning model as a teacher’s guide when teaching in class. The Index Card Match learning model is a learning model that can make students active while learning, its use is by using cards that contain questions and answers and are given to students randomly. The purpose of this study was to determine the effect of student learning outcomes when using the Index Card Match model on prayer material in class IV A SD Negeri Sempur. In this study, the researcher used a quantitative experimental research method, in which the researcher tried to apply a new learning model that had never been applied before at SD Negeri Sempur, namely the Index Card Match model
The Textual Theme Potrayed on the Talks of Education in the Indonesian’s TEDx

This study sought to describe education-related conversations or talks of education (TE) from a systemic functional linguistics (SFL) perspective, focusing on how textual themes were deployed by speakers. TEDx talk, a reliable online source, was chosen as the source for the data used to support this study. The analysis’s validated data was the transcription of an education-related speech. Documentation, transcription, and in-depth textual fragmentation were the three primary techniques utilized during data processing and analysis. This study demonstrates, based on its findings, that the textual theme was not utilized in all portions of speech; it was the type of theme for which the speaker required to provide further information. Despite the limitations of performance, a particular construction and functionalization have been applied to the textual theme. There were phrasal and clausal formulations of textual theme, as well as their role within multiple themes.
Tinjauan Perancangan Tracer (Outguide) Pada Unit Penyimpanan Rekam Medis Di RSU Imelda Pekerja Indonesia Tahun 2022

Tracer (outguide) is a substitute for medical records that will be removed from storage for any purpose. A good tracer should be made of strong and colorful materials. The function of the tracer is to show where medical record documents are when they are not in storage. Tracers can also improve efficiency and accuracy by showing where medical records are stored when they return. The purpose of this study was to redesign the tracer at Imelda Workers' Hospital in Indonesia by replacing materials, shapes, and designs to make it easier for officers to carry out their duties, namely inserting tracers into the shelves between the densely packed medical record files. The research method used is descriptive qualitative research. And the research instruments used are interview guidelines and observation check lists. The tracer (outguide) at Imelda Workers' Hospital in Indonesia has not been used for about a year because all tracers (outguides) have been damaged. The tracer (outguide) was damaged because the material was too stiff and broke easily when the officer inserted the tracer into the storage rack between the dense medical record files. RSU Imelda Workers Indonesia requires a tracer (outguide) made of strong, durable, not easily damaged, torn, broken and researchers have redesigned the tracer (outguide) as the results in the design above, namely by using flexible mica plastic material with a thickness of 0.70 mm , and the color chosen by the researcher in this design is black. The shape and size of the tracer (outguide) in this design is the same as the shape and size of the previous tracer (outguide) in Imelda Workers' Hospital in Indonesia. medical devices with new materials and designs such as the results in this design.
Development of Village Administration Data E-Monography Application

Utilization and processing of basic village data by the Kedungluk Village Government, Candi District, Sidoarjo Regency, through e-monograph is an effort by the village government to carry out a transformation process to develop an information culture. This study aims to determine the development and design of an application-based information system prototype (village monograph) that provides information and potential as well as village profiles, and provides convenience for village monograph data managers and users. In addition to providing benefits to the village government through the e-monograph application prototype, this research is also expected to contribute to learning in the State Administration Study Program by presenting a learning model that can provide opportunities for students to learn directly (become a laboratory) related to the use of information technology in designing and managing public sector organizations in accordance with the learning outcomes of the fourth study program. The research method used is the Research &amp; Development (R&amp;D) method where one of the models suitable for this research is the SDLC (Software Development Life Cycle) model and specifically the Waterfall model which consists of six stages of software development namely requirements, design, implementation, testing, deployment and maintenance. The output of this research is software or software.
Stochastic Learning Rate Optimization in the Stochastic Approximation and Online Learning Settings

In this work, multiplicative stochasticity is applied to the learning rate of stochastic optimization algorithms, giving rise to stochastic learning-rate schemes. In-expectation theoretical convergence results of Stochastic Gradient Descent equipped with this novel stochastic learning rate scheme under the stochastic setting, as well as convergence results under the online optimization settings are provided. Empirical results consider the case of an adaptively uniformly distributed multiplicative stochasticity and include not only Stochastic Gradient Descent, but also other popular algorithms equipped with a stochastic learning rate. They demonstrate noticeable optimization performance gains, with respect to their deterministic-learning-rate versions.
A Study on the Development of Crisis Management Compliance by Personal Information Infringement Factors in Artificial Intelligence Service

As the demand for artificial intelligence services using personal information increases worldwide, personal information infringement accidents are continuously occurring. In this regard, the government and corporations are trying to suggest countermeasures against infringement to resolve the incident of personal information infringement, but the standards for this are ambiguous. Accordingly, in this study, by linking the AI ​service provision process and personal information processing process, it is divided into service planning, data design, collection process, data pre-processing and purification process, algorithm development and utilization process, and personal information collection and use in the process. And, personal information infringement factors and protective factors for steps such as provision, consignment, and destruction were derived based on literature research. The infringement factors and protection factors derived in this way were summarized by conducting FGI and Delphi surveys for experts, and the importance of the experts was investigated using the 5-point scale survey. Accordingly, the risk level of each intrusion factor was calculated and presented as a crisis management compliance for each service process and step-by-step response to personal information infringement incidents.