Reviewerly/exHarmony huggingface dataset:
Multimodal Human Eye Blink Recognition Using Z-score Based Thresholding and Weighted Features

A novel real-time multimodal eye blink detection method using an amalgam of five unique weighted features extracted from the circle boundary formed from the eye landmarks is proposed.The five features, namely (Vertical Head Positioning, Orientation Factor, Proportional Ratio, Area of Intersection, and Upper Eyelid Radius), provide imperative gen (z score threshold) accurately predicting the eye status and thus the blinking status.An accurate and precise algorithm employing the five weighted features is proposed to predict eye status (open/close).One state-of-the-art dataset ZJU (eye-blink), is used to measure the performance of the method.Precision, recall, F1-score, and ROC curve measure the proposed method performance qualitatively and quantitatively.Increased accuracy (of around 97.2%) and precision (97.4%) are obtained compared to other existing unimodal approaches.The efficiency of the proposed method is shown to outperform the state-of-the-art methods.
Blockchain-Based Medical Records for the Health Care Industry

Before the advent of technology, most of hospitals had a paper-based record keeping system for maintaining details and case histories of their patients. But with the digital era the trend has shifted to electronic health record keeping systems where the details are maintained centrally by the medical institutions, who have strict policies for accessing and transfering health records or documents. Besides in many developing countries, there are no definite guidelines for medical record keeping, with hospitals having their own rules; generally they keep the records with them for two to three years. Therefore, it becomes extremely difficult for patients to retrieve their files after a period of time. Though the current hospital systems have computer-based record keeping, still there are lot of issues when faced with a situation e.g., it is difficult to retrieve records (Chen et al., 2019), they can be manipulated without the patient even knowing it, patient confidentiality can get broken if the hospital shares a patient’s history with others, ownership of medical records wherein the doctor or hospital can refute charges of medical negligence, etc. Therefore, it becomes extremely important to maintain medical records so that they can be helpful in the scientific evaluation of the patient’s case, recording prescriptions in the form of transactions, analyzing the treatment being given, and planning for further medical care. Apart from better evaluation of the case history, it will also be helpful in avoiding medical negligence and filing of proper medical claims, as the records are highly secured and available to all; of course, with the permission of the patient (using blockchain). In the span of ten years i.e., between 2009 and 2017, medical records of approximately 180 million patients were exposed in different data breaches. Information related to credit cards, banking details, health records, and genomic testing records was stolen. With the increasing demand to manage personal health care information, we propose using blockchain technology to store medical records or patient history so that it becomes easy for patients to get their files and related data. Also, hospitals or doctors would not be able to refute the ownership of medical records, which can serve as evidence in case of medical negligence. Blockchain technology is a structure which stores records of transactions into blocks across many computers so that any involved record cannot be manipulated or altered without the alteration of all subsequent blocks. It is a ‘digital ledger’ where every transaction is authorized by the owner’s digital signature, which is used to authenticate the transaction and prevent it from getting manipulated, thereby making it extremely secure (Liu, 2019) in order to realize the goal of Society 5.0. It will also help in bringing all the scattered data related to medical health records together. In this chapter, the authors have proposed a secure architecture to store and share patients’ medical records.
Experiencing the education process in physical rehabilitation

To interpret and build a theoretical model of the user's experience in the education process in physical rehabilitation settings.Qualitative research, based on the Grounded Theory. The setting was a Rehabilitation Center of Rede Lucy Montoro, located in an inland city of the State of São Paulo. Data collection took place from January to October 2019, based on 28 interviews with three sample groups. The collection and analysis process was guided by theoretical sampling.A total of 122 conceptual codes emerged. The main category established was "Experiencing education in rehabilitation"; as Conditions, the categories: relying on team support, and considering the group dynamics; as Actions-Interactions, the category: experiencing instructions; and as Consequences, the categories: promoting change of habits, and finding resistance in the follow-up.The experience in the education process in rehabilitation indicates that this is an action that requires adequate communication and acceptance by the team. In group activities, although there are experiences exchanges among the members, the heterogeneity of situations shall be considered.
PERSEPSI SISWA TERHADAP PEMBELAJARAN DARING MATA PELAJARAN BAHASA INDONESIA SISWA KELAS VIII SEKOLAH MENENGAH PERTAMA NEGERI 3 BINTAN TAHUN PELAJARAN 2020/2021

This research is motivated to see how students perceive online learning of Indonesian language subjects in grade VIII of State Junior High School 3 Bintan. This type of research is quantitative. The method used in this research is descriptive quantitative method. Data collection techniques used are questionnaire techniques. The result of the research obtained from this study is the perception of students towards online learning of Indonesian language subjects of grade VIII students of State Junior High School 3 Bintan was declared quite good with the average score obtained from the questionnaire was 58.36%.
ANALYSIS OF THE DETAILS OF THE IMPLEMENTATION OF APPLICATION PROGRAMMING INTERFACE AND USER INTERFACE FOR MANAGING MODELS OF NEUROMORPHIC COMPUTING SYSTEMS

The paper discusses the main aspects of the practical implementation of software and user interfaces for managing models of neuromorphic computing systems.
Minimizing the Cost for Resource Allocation from Multiple Cloud Providers

Abstract: Cloud computing provides streamlined tools for exceptional business efficiency. Cloud service providers typically offer two types of plans: reserved and on-demand. Restricted policies provide low-cost long-term contracting, while order contracts are expensive and ready for short periods. Cloud resources must be delivered wisely to meet current customer demands. Many current works rely on low-cost resource-reserved strategies, which may be under- or over-provisioning. Resource allocation has become a difficult issue due to unfairness causing high availability costs and cloud demand variability. That article suggests a hybrid approach to allocating cloud services to complex customer orders. The strategy was built in two stages: accommodation stages and a flexible structure. By treating each step as an optimization problem, we can reduce the overall implementation cost while maintaining service quality. Due to the uncertain nature of cloud requests, we set up a stochastic Optimization-based approach. Our technique is used to assign individual cloud resources and the results show its effectiveness. Keywords: Cloud computing, Resource allocation, Demand
Computer-Aided Diagnosis System for High Throughput Brest Cancer Detection

World-wide, breast cancer is by far the most frequent form of cancer among women. Patients' chances of surviving breast cancer can be improved if the disease is detected early. As mammogram-based breast cancer detection systems have advanced significantly in recent years, this study aims to review the latest advancements and developments in these systems and give an overview of the methods used in each step, beginning with pre-processing and enhancement and concluding at classification. Though promising, CAD systems aren't yet capable of detecting and diagnosing disease in the clinical setting. If CAD systems do not significantly improve their performance from their current level by enhancing the existing approaches, utilising new promising pattern recognition methods such as data augmentation through deep learning, and taking advantage of improvements in computer computational power, this will continue to be true.
URGENSI MODEL PEMBELAJARAN MULTILITERASI BERBANTUAN MEDIA BIG BOOK PADA PEMBELAJARAN MEMBACA PEMAHAMAN UNTUK SISWA SEKOLAH DASAR

The 21st century is a time when the rapid development of science, the more needed competent human resources, and technology juxtaposed as a need for daily living make education has an important role in building a multicompetent generation so that the development of learning that is tailored to the level of life needs humans in the present era. This has become very important for the realization of the 2045 gold generation and improving Indonesia's Human Resources (HR). The multiliteration model is able to invite students to improve language skills that meet the cultural context of technology. Multiliteration learning has a focus on developing the abilities of students so that it is not only about achieving competency. Multiliteration characteristics, namely multi-style learning, multi-context, multi-modal, and multi-cultural, direct students to not only be skilled in reading, not only critical and creative in reading, not only have a high level of reading comprehension, but also students gain and deepen with regard to culture or local wisdom so that the learning process runs in full. The use of big book is a medium for learning to be more effective, creative and fun.
Aplikasi Monitoring Data Engineering Service Acceptance Report (ESAR) Berbasis BOT Telegram Menggunakan Bahasa Pemrograman Python Di PT Poca Jaringan Solusi

PT.Poca Jaringan Solusi is a company engaged in telecommunications network services, one of which is carried out in the Jabo region is a technical service report or called ENGINEERING SERVICE ACCEPTANCE REPORT (ESAR). In the process, the admin team requires a report on the results of work on each progress, this report is needed to review the process of working on a project. This report data will be stored manually on each device of each division. In the admin team, PT Poca Jaringan Solusi has not implemented a esar data monitoring system so that this can lead to data redundancy, and inefficiency, so in this study a solution is offered for monitoring data using the telegram bot service, which will provide social services for the admin team at PT. Poca, a service provided in the form of messages containing esar data. The results of this study the authors designed a monitoring application using a telegram bot configured using Visual Studio Code with python programming and then connected to the author's laptop, Microsoft Excel as data processing, and telegram as an access bot to run the data monitoring process, the author conducted this research based on observations during internship at PT Poca Jaringan Solusi. Based on the results of the research that has been done, the authors can draw conclusions to design the desired monitoring system, an analysis of the design and system requirements of the esar data itself must be carried out. from the results obtained, the needs of the admin team who are in the esar data management section using this bot is monitoring data from the results of the telegram bot design. Users can view major data information easily in the telegram application. Keywords: Microsoft Excel, Telegram Bot, Telegram
RANCANG BANGUN E-TRAINING DEPARTEMENT BERBASIS WEB PADA PT SHIMANO BATAM

The development of information technology and its relationship with the business world is something that is always interconnected today. Economic principles adopted in the business world require full support for technological developments in order to face increasingly complex global competition, as well as increasingly dynamic market and consumer demands. HR Training Dept. PT. Shimano Batam is one of the many departments that operate under the management of PT. Shimano Batam. This department is fully responsible for employee training before entering the work area, refreshment, and other training that is more specific in accordance with the work program implemented by the company. The design method used in this study is to use the Unified Modeling Language (UML) with the System Development Life Cycle (SDLC) using the Waterfall model. The results obtained in the form of web-based Deptement e-Training application design at PT Shimano Batam, where the application can facilitate the company in obtaining training information provided by employees quickly and accurately and makes it easy for employees to submit training data reports to the company. This application also means very helpful in the work process, both in terms of quality of work and improving employee morale, so that maximum results are achieved by utilizing resources that can be reduced as little as possible.
A Study to Assess the Impact of Self-instructional Module on Knowledge among Adolescent Students regarding First Aid Measures for Selected Emergencies in a Selected Higher Secondary School, Devsar, Kulgam

Introduction: First aid is an important life-saving skill that everybody should know. As young people move towards independence and take on responsibilities in their own lives, they should know how to help others, whether it is a family member, friend or fellow citizen. While there are moves underway to introduce first aid training into the secondary school curriculum, there are other ways to give our kids and ourselves at least an elementary knowledge of the first aid basics. This study intended to assess the impact of a self-instructional module on knowledge among adolescent students regarding first aid measures for selected emergencies in a selected higher secondary school of Devsar, Kulgam. Method: A quantitative methodology was used with a pre-experimental one group pre-test and post-test design on a convenient sample of 50 adolescent students. A self-structured questionnaire was used to collect the data. Result: Data were analysed using descriptive and inferential statistics. Data analysis through SPSS-16 version by using t-test exposed significant difference (21.18) and p &lt; 0.001 amongst pre-test and post-test knowledge scores of respondents. Conclusion: Thus the study revealed a substantial increase in knowledge scores amongst adolescent students regarding first aid measures for selected emergencies after administration of the self-instructional module.
Sociology of health and telemedicine

The article provides a characteristic of the social institution of health care and communication of an individual and health care as an object of the sociology of health and analyzes the effectiveness of digital health care on the example of a sociological study conducted within the framework of the project “Digitalization of the social sphere”.
THE LOSS BOARD GAME: A GAME TO IMPROVE STUDENTS’ PRONUNCIATION

This study aims to develop a board game as a medium of pedagogical instruction at junior high schools named LOSS (Learn abOut Sound S) Board Game that helps students to improve their pronunciation in an entertaining way. This board game provides students with some opportunities to practice their pronunciation and learn it accurately in an enjoyable process. Students do not only learn about pronunciation of the ending sounds /s/, iz/, and /z/ but also about vocabulary and grammar. This study uses Research and Development (RD 2) product development; 3) formative evaluation; 4) revising instruction; 5) product revision; 6) try-out the product; and 7) final product. The try-out product was done by eight grade students. The board game requires students to pronounce different words more than once and supports students to play, practice pronunciation, and check the correct pronunciation independently outside the classroom. The LOSS Board Game is expected to provide teachers at secondary schools with media for teaching pronunciation and provide the students with fun and enjoyable learning activities in their English class.
Improving Students' English Speaking Ability Through Free Story Method with Picture Card Media

This study addresses students' problems related to their low ability to speak English in class IX-A of SMPN 17 Kep. Masaloka Raya. This study uses the Free Story method with picture card media. The design of this research is classroom action research which is carried out for two cycles. The results showed that in the first cycle, there were 18 students (66.67%) whose speaking ability scores were equal to or above the KKM, and there were nine students (33.33%) whose scores were below the KKM. Because these results do not meet the success criteria that have been set, namely, at least 85% of students have a score equal to or above the KKM, the research continues in the next cycle by first revising some learning steps that are considered not too maximal. The research results in Cycle II showed that there were 26 students (96.30%) whose scores were equal to or above the KKM, and there was one student (3.70%) whose scores were still below the KKM. With the achievement of the success targets that have been set, it can be concluded that the use of the Free Story method with picture cards media succeeded in improving the speaking ability of Class IX A students at SMPN 17 Kp. Masaloka Raya.
IMPROVING THE ABILITY OF JOB INTERVIEWS IN ENGLISH FOR VOCATIONAL SCHOOL CADETS USING THE DEMONSTRATION METHOD

This study discusses the readiness of cadets in facing the job interview process in English where the demands from companies or agencies are that they have reliable and professional personnel. In the initial activity of recruiting employees, there are several stages that must be met in addition to the administrative requirements, the HR is also required to be able to carry out the interview process well, especially in English. The research method used in this research is classroom action research which is carried out in two cycles in the first cycle, the researcher uses the direct instruction method and in the second cycle uses the demonstration method. The results of this study arebased on the achievement of the success criteria at the end of cycle 2 where the average value of the cadets reached 80.13. In addition, the percentage of the number of cadets who got a score of 71 reached 100%.
Implementasi Data Mining Metode C.45 untuk Memprediksi Peminat Kuota Internet pada Masa Covid 19

During the Covid 19 pandemic, Telering experienced an increase in sales and there were several internet SIM cards that consumers were less interested in. Various kinds of internet cards are sold and offered to attract consumers' attention, but it cannot be predicted which internet cards the consumers will be interested in. The C4.5 algorithm is a data classification algorithm with a decision tree technique that has advantages. These advantages, for example, can process numeric (continuous) and discrete data, can handle missing attribute values, produce easy rules. The results of the study explain that all providers including Telkomsel, Indosat, and axis are in demand by consumers. In analyzing using the C.45 algorithm with the Rapidminer Tools, the first is that the decision tree results in determining consumer interest are seen from the price, while the accuracy using the C.45 algorithm or decision tree produces an accuracy of 94.67%.
Affiliation of Blockchain, IoT, and Big Data

Blockchain, Artificial Intelligence (AI), and the Internet of Things (IoT) are believed to be the driving force of the future digital transformation as the convergence of these three technologies will pave the way for new business models. In the future, many things can be autonomous that can make their profit centers. For example, people can do money transactions by leveraging blockchain technology; by leveraging AI and data analytics, autonomous decisions can be made and have a digital twin leveraging IoT. The convergence of blockchain, IoT, and AI makes easier of the digital transformation process. For instance, the number of entities involved in the business process will have a collaboration, communication, and transaction without any human intervention, which is highly efficient and agile. This transformation would provide a better experience, streamlined operations, value-added services, and consistent workflow with huge benefits. This chapter demystifies the affiliation of blockchain, AI, and IoT in a broad manner.
Nearly Reversible ECG Steganography based on Polar Coordinate System with Digital Replacement Technique

In this paper, we present a nearly reversible data hiding for electrocardiogram (ECG) hosts. Based on the polar coordinate system domain, medical diagnosis and personal data can be embedded in an ECG signal by the simple digital replacement technique. Simulations revealed that the restored ECG with near lossless quality can be obtained by the proposed method at receiver site. In addition, the perceived quality of the marked ECG is very good with a high payload size. Moreover, the resultant signal-to-noise ratio (SNR), peak SNR, and payload of the proposed method outperforms those of existing techniques. Since the computation cost is low, the proposed method can be used in portable biometrics or ECG measuring instruments.
face image retrieval using LBP based on GPU to accelerate face detection

Given the growing popularity and use of digital devices in human daily life; an increase in image sharing on social networks such as Facebook , Flicker, Instagram as well as loading various clips on such networks , the utilization of digital images has sharply increased, particularly in the last decade, among them, a high percentage belongs to human face images(approximately above 60%) what matters here is face image retrieval using high accuracy feature extraction methods. The more precise method, the more time it requires to be processed. in this paper we plan to execute numerous high accuracy feature extraction methods in face image retrieval like LBP and its variants, HOG, SIFT, SURF and in some case the combination of above mentioned methods by suitable coding on GPU in order to examine the impact of processing speed and its accuracy compared to the CPU and propose the best method for it
Impoliteness Strategies Used by Students in English Online Learning Through Zoom during Pandemic Covid-19

This study was about impoliteness strategies used by students in English online learning through Zoom.The objective of the study was to categorize the types of impoliteness strategies used by students in English online learning through Zoom during pandemic Covid-19.The study was descriptive qualitative.The subject of the study was VII grade of SMP Ar-Rahman Percut.The data of the study was the impolite clauses that recorded from Zoom in English online learning.The data categorized based on Culpeper's (1996).The results showed that there were 68 impolite clauses used by students in English online learning.The most commonly strategy used was Positive Impoliteness with total usage of 26 (38.23%).Meanwhile, Negative Impoliteness with total usage of 25 (25.00%),Sarcasm or Mock Politeness with total usage of 13 (19.12%)and Bald on Record Impoliteness with total usage of 12 (17.65%).