Reviewerly/exHarmony huggingface dataset:
Sphygmomanometer Sphygmomanometer with Led Bar Display to Improve the Blood Pressure Reading Accuracy

Instruments in the hospital environment have a role to help and promote more accurate diagnosis and treatment. The general condition of the equipment used and their delivery are very important for a good prognostic. One of them is a device to measure blood pressure called a sphygmomanometer. There are 3 types of sphygmomanometer, namely digital, mercury, and aneroid. Currently, digital sphygmomanometers are known to be easy to use, but their accuracy is low and reduces the ability of nurses to identify blood pressure in humans. Mercury sphygmomanometer has high accuracy, but should not be used because it still uses mercury as a display. This is supported by the Ministry of Health's program to free the world of health from mercury because of the impact of mercury on health and the importance of nurses to train the skills of nurses. The purpose of this study was to reduce the use of mercury which is harmful to humans, in addition to training the nurse's ability to take blood pressure readings on patients. The method used by the researcher is to test the suitability value of the module with the calibrator and to collect data on six respondents to compare the module with the sphygmomanometer that has been traded. The result of the research is the error value when testing the module's suitability value with the DPM (Digital Pressure Monitor) calibrator with a range from 0 to 0.67%. each set point has a different error value. and the lowest error value is among the six set points, namely 0% and the highest error value is 0.67%. Meanwhile, the lowest error value in systole is 0.2% and the highest error value is 2.16%. While the lowest error value in diastole is 0% and the highest error value is 5.55%. Based on the results of the research that has been carried out, the authors conclude that this module is made to replace mercury which is prohibited from being used because it is dangerous for humans and trains nurses' abilities in determining blood pressure readings.
THE USE OF OPEN SCIENTIFIC AND EDUCATIONAL RESOURCES AS A MEANS OF IMPROVING THE INFORMATION AND RESEARCH COMPETENCE AND QUALITY OF UNIVERSITY TEACHING STAFF

The dynamic development of modern information technologies and the electronic form of data presentation opened up new approaches to information resource management and an opportunity to organize the processes of publication, storage, and distribution of scientific research of university teaching staff at a qualitatively higher level.The study aims to assess the current state of the utilization of open scientific and educational resources by the research and pedagogical staff in their professional activities.The study presents a theoretical analysis of scientific developments on the issue of using open scientific and educational resources (OSERs) and open-access systems (OAS).The study results show that electronic professional periodicals, digital libraries, online conference platforms, scientometric databases, electronic social networks, and systems of digital identification of scientists and scientific publications are the OSERs most frequently used by university faculty.Moreover, the vast majority of university faculty are aware of the need to use OSERs in their own professional activities.Overall, the study results give evidence that professional advancement and internship programs for university teachers require further improvement.The issues of the selection, technical integration, and organizational and methodical introduction of information-analytical systems to support scientific research remain topical.
KUAT TEKAN MORTAR DENGAN CANGKANG KERANG SEBAGAI SUBTITUSI AGREGAT HALUS

Mortar is an especially important component used for construction. The building blocks of mortar consist of cement, fine aggregate, and water. In this study, oyster shells were used as a substitute for fine aggregate due to the increasing production of oyster shells every year, with the hope that the use of oyster shells could reduce oyster shells waste in the environment and obtain innovations for the construction world. The test objects were made in the form of a cube using a mixture ratio of 1 PC: 3 PS with variations of 0%, 5%, 10%, and 15% of shells against the weight of sand with a test time of 3 days, 14 days, and 28 days. Before making the test object, the mortar constituent materials were tested first, then the mortar design was carried out after all the constituent materials met the requirements. This study also used SPSS software to determine the effect of using shells as a substitute for fine aggregate on the compressive strength of mortar. From this study, it was found that the effect of oyster shells substitution was 17.6% at the age of 28 days compared to mortar without shells. The use of oyster shells can increase the compressive strength of mortar up to 97.6% at the age of 28 days. A variation of 15% was found at the age of 28 days as a variation with a maximum compressive strength value of 18.06 MPa. Keywords: Compressive Strength, Mortar, Oyster Shells.
The Opportunity and Conception of the Living Space of Radio and Television in the Metaverse Era

With the continuous development of modern technology, the traditional media have no advantage in the fierce media competition. As a mainstream media, radio and television should adapt to the development of the times, vigorously introduce advanced technical concepts and technical means, and constantly explore new development paths in the radio and television industry in the course of reform. This paper analyzes the current predicament of radio and television and the factors restricting its development, combined with the concept of "metaverse", explores the transformation and upgrading path of radio and television industry, and looks forward to the living space of radio and television in the era of metaverse.
Analysis of Graduation Thesis for Master's Degree in English Translation

In 2007, in order to meet the development needs of socialist modernization, the Academic Degrees Committee of the State Council and the Ministry of Education approved the establishment of Master of Translation and Interpreting (MTI) in China to cultivate advanced translators with professional interpretation and translation capabilities. Today, more than 200 colleges and universities have set up this major, which has cultivated a large number of translation talents for the society. This paper takes the recent five years of Guangxi University of Science and Technology's English translation master's degree thesis as the research object, and conducts analysis from the aspects of topic selection, theory, and case analysis. The research found that these papers have problems such as too simple topic selection, insufficient Chinese-English translation, insufficient integration of theory and practice, and insufficient case analysis. In order to solve the above-mentioned series of problems, corresponding measures can be taken from the three aspects of tutors, schools and students to improve the writing quality of students' dissertations.
Research on the Method of Keras Library Combined with CNN Convolution to Classify Video

With the popularization of the mobile Internet and the impact of the new crown epidemic, the time spent by netizens on the Internet is gradually increasing. Every minute, every major video website will add nearly 100 hours of video. How to help users quickly find their favorite content and achieve effective video push is the future development focus of deep learning technology. This paper mainly introduces the research direction of efficient video classification using Keras library combined with CNN.
Access and Usage of Electronic Resources by the Faculty Members, Students and Research Scholars of Shanmuga Industries Arts and Science College Tiruvannamalai “Thiruvalluvar University”– A Study

A survey becomes carried out is conducted at the Shanmuga Industries Arts and Science College Tiruvannamalai Affiliated with Thiruvalluvar University. A total quantity of 271 respondents questionnaires is issued to the respondents and 231 respondents replied and Submit the Researcher for study Members were selected and their responses turned into obtained with the assistance of the questionnaire. The findings show that customers the use of e-resources responsiveness approximately e-resources encourages users to apply such sources to the very best and the users are the usage of Department and domestic extra for getting access to the statistics E- resources turned into visible from the lower in range of revealed documents in contrast to the increase in the quantity of digital resource.
Development Model of Artificial Intelligence Education Course Involving High-tech Enterprises

In recent years, China has made important progress in basic research and original innovation, made new strides in strategic high-tech fields and made new breakthroughs in high-end industries. Intelligent manufacturing has made great progress, artificial intelligence and the digital economy are booming, image recognition and voice recognition are leading the world, and 5G mobile communication technology is the first to achieve large-scale application. High-tech companies such as Huawei Hisi, Unigroup, Horizon, Cambrian and Lifei are deeply engaged in the fields of cloud edge, industrial/commercial/home, edge computing and intelligent security of artificial intelligence. Digital chip manufacturers such as Loongson, Feiteng, Huawei Hisi, Unigroup Zhirui and Swischip have also made certain achievements in the research of AI basic hardware. Some of these representative companies are at the top of their game, and some are at the top of their game. These head companies and their surrounding upstream and downstream smes have basically formed a mature industrial chain. As far as the current domestic science and technology ecology is concerned, we have the foundation, confidence, and ability to seize the opportunities of the new round of scientific and technological revolution and industrial transformation and ride the tide. How to cultivate the original and innovative reserve talents, improve the scientific innovation system and the construction of talent echelon, and further improve the cultivation ecology of scientific and technological talents is an important problem at present.
Marcuse's Theory of Scientific and Technological Alienation and its Contemporary Reflections

The status of science and technology in the process of human social development has been increasing, which has promoted the continuous progress of modern industrial society, and at the same time, a series of negative effects brought about by science and technology have gradually emerged. Alienation is an important concept of Marx's philosophy, and Marcuse absorbed Marx's idea of alienation and put forward the theory of technological alienation under new conditions. This technical rationality constantly satisfies people's false needs, so that people's negative sexual dimension and critical dimension are constantly lost, which eventually leads to the formation of one-dimensional and one-dimensional society. The development of science and technology in the new era of our country should firmly establish a reasonable concept of scientific and technological development, adhere to the people-oriented thinking, and strengthen the regulations of morality and law on the development and utilization of science and technology, so as to overcome the alienation of science and technology and promote the healthy development of society.
Cloud Computing Safety Concern and Its Confronts: A Compressive Investigation

Cloud computing is a new approach to data storage and processing in the field of computer science. Computing in the cloud refers to the use of a network's or the internet's hosted servers and other associated resources. Cloud computing is an expansion of other computing methods such as grid computing and distributed computing. Currently, cloud computing is utilized by both industries and universities. The cloud is a service that helps its users by giving them access to online virtual resources. There are always new methods being developed, and cloud computing is a sector that is growing rapidly. In tandem with the growth of the cloud computing environment comes a corresponding rise in the difficulty of ensuring the system's safety. Users trust the cloud with their data, but if their data isn't secure, they may stop using it. Some of the concerns with cloud security, such as multi-tenancy, will be explored in this paper. Mobility, adaptability, availability, etc. Current security methods and strategies for a safe cloud environment are also discussed in the article. The information presented in this paper will help researchers and practitioners get more familiar with the various security threats and the models and methods provided to combat them.
The Effectiveness of Global Tahfiz Game (GTG) Gamification in Teaching and Learning in Malaysia

This study aims to measure the level of effectiveness of the Global Tahfiz Game (GTG) in education. This study involved 86 tahfiz teachers in tahfiz institutions in Malaysia. The design of this study is a quantitative study that uses a questionnaire as a research instrument. Quantitative data were analyzed descriptively using the Statistical Package for Social Sciences (SPSS) to obtain frequencies and percentages. The results of the study found that in general, the level of effectiveness of GTG in Education is at a good level. The results of this study can also be used as a benchmark for the developers of gamification innovation products to make more improvements and production of other innovative products for other areas that are still less emphasized for the benefit of the Muslim community in particular and society in general.
Application of the AHP-ELECTRE Method for Selection OOP Based Apps Programs

Object-based programming (OOP) has become a trend among programming language users, this is because many functions, procedures and techniques for using features are so widely available. By utilizing the advantages of these facilities, it is possible to provide convenience for programmers who use object-based programming languages. The purpose of this study is to provide an objective scoring system for a number of programming applications that have been made equipped with the assessment criteria. Assessment criteria that can be used for object-based apps programs with eleven criteria, namely Class structure, Inheritance, Encapsulation, Pollymorphys, Constructur, Accessor, Mutator, Visibility, Overriding, Overloading, and Price. With these many criteria, it provides a level of difficulty in choosing an object-based program application. To determine the appropriateness of an apps program, source testing will be carried out in the form of coding that has been previously constructed which affects the eleven predetermined measurement criteria. The assessment process recommends using the Electre method as a measure of the results of the calculation and ranking process. While determining the weight of the criteria using the Analytic Hierarchy Process (AHP) method. From the results of the assessment of 23 object-based apps programs, ranking assessments are based on aggregate dominant matrices as follows, the first rank with a weight of 22 as the largest weight is owned by 4 apps programss, namely AP16, AP17, AP18, and AP19. Based on the results of the ranking process, it can be said that the ELECTRE and AHP methods can be used as a selection process for object-based apps programs with optimal results.
Development of Game Recognition Covid-19 Variants, Symptoms, and Vaccinations Based on RPG

Technology is required to support the learning process in education, especially amid the present Covid-19 pandemic, which necessitates pupils to study from home. Obviously, online learning between students and teachers requires liaison media as a means of communication to facilitate the learning process, one of which is the introduction of variation, symptoms, and Covid-19 immunization, which many youngsters do not yet comprehend. Therefore, games are required to introduce variations, symptoms, and Covid-19 vaccinations in order to provide students with the necessary information to recognize variations, symptoms, and Covid-19 vaccinations. A game created with RPG Maker MV that features characters. There are six grade levels in the game. To proceed to the next grade level, kids must answer questions within each game. Based on the questionnaire responses using the SQA measure, this game received a score of 83.6 out of a possible 100. Similarly, the feasibility of quality has a value of 82.2. The questionnaire scores varied by 2.4 points, and it was determined that the variance, symptom, and Covid-19 vaccine recognition game was usable. This game can be used as a resource for introducing and preventing Covid-19 among students.
Data Mining using clustering method to predict the spread of Covid 19 based on screening and tracing results

Coronavirus is a virus that causes disease in humans and animals. The virus was discovered in Wuhan, China in December 2019. Initially, it was suspected to be pneumonia, with general symptoms similar to the flu. However, unlike influenza, coronaviruses can progress rapidly, leading to more severe infections and organ failure. The number of COVID-19 sufferers in Indonesia is increasing every month. Anticipation and reducing the number of people infected with the coronavirus in Indonesia have been carried out in all regions. Including providing policies that limit activities outside the home. Indonesia has a very wide area, so it is necessary to classify the spread of Covid-19 based on regions or regions in Indonesia. This grouping provides a central point for the spread of Covid-19 pandemic cases in Indonesia. In testing data using data mining, data mining allows users to find knowledge in databases that were previously unknown to the user. By using the Clustering technique and the K-Means algorithm to predict the spread of COVID-19 based on the results of screening and tracing. The Clustering method produces 3 clusters, Cluster 0 with a medium category with a total of 6 regions, Cluster 1 with a low category with a total of 3 regions, and Cluster 2 with a high cluster with a total of 7 regions, with a DBI value of -0.784.
Development of based learning media with App Inventor

The research aims to develop an Android-based learning media. The stages of the research are analysis, implementation, and evaluation. The participants of the research were students at West Kalimantan Vocational High School. The research method used is Research and Development with the ADDIE approach. Data analysis used descriptive qualitative. The subjects in this study were students of class X AK 1 and X AK 2 at Vocational High School West Kalimantan, totaling 56 students, for a small-scale trial taken 5 students from X AK 1 and 5 students from X AK 2. Research instrument was using a questionnaire with a scale. Research results based on research statements and the development of Android-based learning media with App Inventor on word processing software, it can be concluded that to make applications with App Inventor software it is not enough to just use a browser application. the development of learning media using the App Inventor media after validation with two media experts is very feasible to use and by using this application the teaching and learning process run very independently and make it easier for students to understand the learning material
Analysis Clustering Using Normalized Cross Correlation In Fuzzy C-Means Clustering Algorithm

Abstract: Fuzzy C-Means Clustering (FCM) has been widely known as a technique for performing data clustering, such as image segmentation. This study will conduct a trial using the Normalized Cross Correlation method on the Fuzzy C-Means Clustering algorithm in determining the value of the initial fuzzy pseudo-partition matrix which was previously carried out by a random process. Clustering technique is a process of grouping data which is included in unsupervised learning. Data mining generally has two techniques in performing clustering, namely: hierarchical clustering and partitional clustering. The FCM algorithm has a working principle in grouping data by adding up the level of similarity between pairs of data groups. The method applied to measure the similarity of the data based on the correlation value is the Normalized Cross Correlation (NCC). The methodology in this research is the steps taken to measure clustering performance by adding the Normalized Cross Correlation (NCC) method in determining the initial fuzzy pseudo-partition matrix in the Fuzzy C-Means Clustering (FCM) algorithm. the results of data clustering using the Normalized Cross Correlation (NCC) method on the Fuzzy C-Means Clustering (FCM) algorithm gave better results than the ordinary Fuzzy C-Means Clustering (FCM) algorithm. The increase that occurs in the proposed method is 4.27% for the Accuracy, 4.73% for the rand index and 8.26% for the F-measure..&#x0D;
Web-Based Laboratory Inventory Application Using QR Code and RFID in Telecommunication Engineering Laboratories/Workshops

State Polytechnic of Sriwijaya is one of the universities that organize vocational education in Indonesia, by having a variety of laboratories to support its education. One of them is the Laboratory of Telecommunication Engineering Study Program, which has assets in the form of equipment/instruments used by its students to carry out practical activities based on predetermined courses. However, the current borrowing equipment system in the laboratory still uses a manual system, where students are required to fill out a loan form provided by the laboratory technician. In this case, the use of website-based applications as a medium for stock information and lending activities is expected to be an alternative in the inventory process. The prototype method is used in application development. Web-based applications are designed using the Laravel framework. After testing using a black box, it shows that all the functionality of the application system that has been designed runs properly and well. From the test results, the QR Code and RFID can display the scan results in the application quickly. A web-based inventory application with QR Code and RFID technology can assist in monitoring inventory and the process of borrowing equipment in the Telecommunication Engineering Study Program laboratory.
Penggunaan Edlink untuk Kemudahan Proses Perkuliahan Mahasiswa FEBI IAIN Lhokseumawe di Masa Pandemi Covid-19

The Covid-19 pandemic has forced various parties to use technological innovations in the lecture process so that students can continue to receive knowledge safely and vice versa with lecturers. Unfortunately, the use of technology in lectures has various negative impacts for students and other users. For this reason, the service team disseminates the use of learning applications that can minimize the negative impacts that exist through the use of the Edlink application. This activity was carried out using the Edlink usability socialization method, practice of using it, and question-and-answer discussions about this application. This activity was attended by residents of the FEBI IAIN Lhokseumawe campus consisting of students and lecturers who attended in person or virtually, considering the progress that had to be carried out. The results of this activity are felt to be very useful for lecturers and students in particular. With various features and conveniences in the Edlink application, this application is believed to be able to facilitate the lecture process. This application is also integrated with the Siakad application which has been used in the lecture process, so that the lecture process is more effective and efficient. The Edlink application can also be accessed freely via a computer, laptop or mobile phone and is free. Thus eliminating the limitations that exist in other applications and reducing internet costs for students.