Reviewerly/exHarmony huggingface dataset:
CTS2 OWL: Mapping OWL Ontologies to CTS2 Terminology Resources

The advancement of healthcare towards P5 medicine requires communication and cooperation between all actors and institutions involved. Interoperability must go beyond integrating data from different sources and include the understanding of the meaning of the data in the context of concepts and contexts they represent for a specific use case. In other words, we have to advance from data sharing through sharing semantics up to sharing clinical and medical knowledge. According to the Good Modeling Best Practices, we have to start with describing the real-world business system by domain experts using Domain Ontologies before transforming it into an information and communication technology (ICT) system, thereafter specifying the informational components and then transforming the system into an implementable solution. Any representation style - in the system development process acc. to ISO 10746 called system view - is defined by a related ontology, to be distinguished from real-world domain ontologies representing the knowledge spaces of involved disciplines. The system enabling such representational transformation shall also support versioning as well as the management of historical evolutions. One of such systems is the Common Terminology Service Release 2 (CTS2), which is a standard that allows the complete management of terminological contents. The main objective of this work is to present the choices we made to transform an ontology, written in the standard Ontology Web Language (OWL), into the CTS2 objects. We tested our transformation approach with the Alzheimer's Disease Ontology. We managed to map all the elements of the considered ontology to CTS2 terminological resources, except for a subset of elements such as the equivalentClass derived from restrictions on other classes.
A Visualization and Benchmarking Simulator for Clinical Data

The availability of Big Data has increased significantly in many areas in recent years. Insights from these data sets lead to optimized processes in many industries, which is why understanding as well as gaining knowledge through analyses of these data sets is becoming increasingly relevant. In the medical field, especially in intensive care units, fast and appropriate treatment is crucial due to the usually critical condition of patients. The patient data recorded here is often very heterogeneous and the resulting database models are very complex, so that accessing and thus using this data requires technical background knowledge. We have focused on the development of a web application that is primarily aimed at clinical staff and researchers. It is an easily accessible visualization and benchmarking tool that provides a graphical interface for the MIMIC-III database. The anonymized datasets contained in MIMIC-III include general information about patients as well as characteristics such as vital signs and laboratory measurements. These datasets are of great interest because they can be used to improve digital decision support systems and clinical processes. Therefore, in addition to visualization, the application can be used by researchers to validate anomaly detection algorithms and by clinical staff to assess disease progression. For this purpose, patient data can be individualized through modifications such as increasing and decreasing vital signs and laboratory parameters so that disease progression can be simulated and subsequently analyzed according to the user's specific needs.
Smart Attendance System using QR Code

In this era of technology smartphones play a big role in our everyday existence. Nowadays smartphones can solve most of the problem very quickly and easily. It has made existence of absolutely everyone clean and much less hard with specific social app, commercial enterprise app, problem solving app, app for training and marketing and marketing and advertising etc. Followed with the resource of the use of the technology the paper purposed a system so one can cope with a problem for recording the attendance. In higher training institutions, student participation withinside the classroom is straight away related to their instructional performance. However, the majority of student attendance registration is still conventionally accomplished, it's tedious and time-consuming, in particular for those publications that comprise massive numbers of college students. Over the years, attendance manage has been done manually at most of the universities. To overcome the manual attendance issues, we proposed and carried out a smart attendance system with the aim to encourage the capability use of the Quick Response (QR) code as a future attendance manage system, to tune and file student attendance in lectures and carrying activities for all relevant publications, as an aim of this paper.
python-ags4: A Python library to read, write, and validate AGS4 geodata files

Data gathered from geotechnical, geoenvironmental, and geophysical investigations can be broadly described as "geodata".The AGS4 data format (Association of Geotechnical and Geoenvironmental Specialists, 2011, 2017, 2021b, 2022) is one of the most widely used data transmittal formats for geodata and is used across the world.It is a plain text format consisting of multiple tables of comma-separated values, tied together with a robust data schema and a comprehensive suite of validation rules.The basic structure of an AGS4 file is shown in Figure 1.
APLIKASI PENGOLAHAN NILAI RAPOR KELAS DI SEKOLAH DASAR MASEHI LAIMBONGA BERBASIS WEB

SD Masehi Laimbonga in processing the final score of the report card takes a long time in the value processing process so that there is a delay in reporting because many assessment criteria are determined. The purpose of this research is to assist teachers in accelerating the value processing process so as to produce digital student report cards. The research method used is the waterfall model starting from the analysis, design, implementation and testing stages. This research produces an application that helps teachers in accelerating the processing of grade report cards. The application generates report cards which can be directly downloaded as PDF files. The test produces output that is in accordance with the input from the teacher and proves the difference in time for processing report cards for 1 student manually takes 8 minutes 43 seconds while the application is 2 minutes 14 seconds.
Economic Freedom, FDI, Inflation and Economic Growth in East and Southeast Asian Countries: A Panel Data Analysis

This study is panel data that aims to analyze the effect of Economic Freedom, Foreign Direct Investment, and Inflation on Economic Growth in East Asian and Southeast Asian countries from 2000 to 2020. We find that simultaneously, Economic Freedom, Foreign Direct Investment, and Inflation positively affect Economic Growth. The proportion of the influence of all independent variables on the dependent variable is 16.03 percent. We also obtain partial results that Economic Freedom and Foreign Direct Investment positively influence Economic Growth. Meanwhile, Inflation negatively affected Economic Growth in East Asian and Southeast Asian countries from 2000 to 2020. These results have important implications for the governments of East and Southeast Asian countries, especially in responding to Inflation that impacts Economic Growth. Policies aimed at reducing the impact of Inflation on Economic Growth must identify the factors causing Inflation and consider the increase in production costs.
VALUE ORIENTATION AND THE FEELING OF COMPASSION IN THE COVID 19 PANDEMIC IN STUDENTS

Since ancient times, to survive this society it has required affectivity, empathy and compassion. Thus in a world of speed, a world that seems to have lost nature, we can see that these feelings are actually necessary. Without them, humanity would be represented by robots, which would have a stable schedule, work without communication and cooperation. Daily we take part in the sufferings and joys of others, our vocation as persons is to help them, to develop them, to get them out of the deadlock, but also to be present at their joys. Human behavior must be full of delicacy, purity, transparency, showing deep compassion through these feelings of ours.
INSIGHTS INTO THE ATTITUDE TOWARDS REMOTE EDUCATION OF UNDERGRADUATE ENGINEERING STUDENTS

The implementation of emergency remote education due to the COVID-19 pandemic may affect students’ online learning attitudes. Exploring these attitudes, as higher education adapts to uncertainty, has become more critical than ever. This study aims to obtain information about students' attitudes towards remote education by studying in a hybrid format in the first semester of the 2021-2022 academic year due to the COVID-19 pandemic. A non-experimental research design with quantitative research methods was used. A total of 135 students enrolled in undergraduate programs at the Technical University of Cluj-Napoca, Romania, responded to the survey. The study found that students had a neutral attitude towards remote education. There was no statistically significant difference by gender and residence area. However, the results indicated that the 4th year students had higher attitude scores towards remote education than those in previous years. The findings of this study may also provide suggestions for further developments and improvements in students’ online learning attitudes and in the pedagogy of engineering disciplines in the post-pandemic perspective.
The Effect of Learning Interest And Motivation on Mathematics Learning Outcomes of Students of Class VIII SMP Private Cinta Rakyat 3 Pematangsiantar

This study aims to determine: (1) the effect of interest in learning on students' mathematics learning outcomes in grade VIII SMP Swasta Cinta Rakyat 3 Pematangsiantar Academic Year 2022/2023. (2) the effect of learning motivation on students' mathematics learning outcomes in class VIII of Cinta Rakyat 3 Pematangsiantar Private Junior High School in the Academic Year of 2022/2023. (3) the effect of interest and learning motivation on students' mathematics learning outcomes in class VIII of Cinta Rakyat Private Junior High School 3 Pematangsiantar for the Academic Year of 2022/2023. This type of research is a quantitative research type with the research sample being students of class VIII B and VIII C SMP Swasta Cinta Rakyat 3 Pematangsiantar, namely 60 students. The instruments used in this research are questionnaires and tests that have been tested for validity and reliability tests. The results and discussion of the research show that: (1) There is a positive and significant relationship between interest in learning and mathematics learning outcomes for class VIII students of SMP Swasta Cinta Rakyat 3 Pematangsiantar, with a value of t_count &gt; t_table (3.500 &gt; 2.001) and a large effect of 17.4%. (2) There is a positive and significant relationship between learning motivation and mathematics learning outcomes for eighth grade students of Cinta Rakyat 3 SMP Swasta Cinta Rakyat 3 Pematangsiantar, with a value of t_count &gt; t_table (4.101 &gt; 2.001) and a large effect of 22.4%. (3) There is a positive and significant effect between interest in learning and motivation to learn together with the value of F_count &gt; F_table (10,865 &gt; 3.115) and a large effect of 27.6%.
Platform “Get Epic” Sebagai Perpustakaan Digital di Masa Pandemi Covid-19

Research Purpose. The aim of this study is to provide an overview of the use of the Get Epic platform as a digital library during the Covid-19 pandemic in terms of its use, seen from its appearance, menus, and collections provided. Methods. The research method used in this study is the literature study method. The library study tool in this study was sourced from the Get Epic utilization report, which has been used by the Nation Star Academy Middle School library as a digital library platform, as well as scientific journals related to the use of digital libraries during the Covid-19 pandemic. Results and Discussion. The Covid-19 pandemic is not an obstacle for libraries to provide collections and carry out compulsory reading activities at schools—easy access to use the collection with smartphones is a solution for libraries to provide online reading resources. Get Epic's digital library also makes it easy for parents to see what their children read during activities at home. Conclusion. The application of Get Epic as a means of digital reading resources provides benefits in the Nation Star Academy Junior High School environment. Initially, the library had no visitors, and the library could carry out borrowers with the platform for one-year reading activities.Keywords: Online Learning, Covid-19, Digital Library, Get Epic
Development of Pop-Up Book Media to Teach Vocabulary for Mental Retardation Special School

This research was carried out based on the results of observations on mentally retarded students at SLB Jatiwiratama Selopuro in the vocabulary subject. This study aims to develop learning media in the form of pop-up book and find out how the level of feasibility of the media. This research was conducted on mentally retarded children at special school. The research method used is Research and Development (R &amp; D) which adopted from Borg and Gall where researchers take 4 stages of the existing 10 stages. The stages include (1) Need analysis, (2) Product development, (3) Product testing, (4) Product revision. Determination of eligibility is done by validate the learning experts, and media experts. After that, the researcher do product testing. Research and development produces pop-up book media that are suitable for use based on the assessment of (1) Media expert validators get an assessment of 95.5% (2) Learning expert validators received a 9% rating. Assessment of student responses gets an assessment percentage of 91.5% which is means that the media can be accepted by students. The reason for choosing this research is because the development of pop-up book media for mentally retarded children has never been researched before.
An image processing approach for enumeration of leukemia infected cells for diagnosis

Image processing techniques are helped to improve the diagnosis of various diseases using medical images. Leukemia, a blood cancer, is one of the commonest malignancies affecting both adults and children. As per the reports, leukemia was the fifth and sixth cause of death in men (7%) and women (5.8%) with cancer, and it was the first cause of death in children with cancer between 1–4 and 5–14 years old, with 48.5% and 52.2% of deceases, respectively. Hematologists microscopically examine the blood under a light microscope for diagnosis. This process is very tedious, time-consuming, and not suitable for analyzing a large number of cells. The enumeration of infected cells for the diagnosis of leukemia will assist to overcome these drawbacks. Enumeration of blood cells plays a very important role in the health sector. In this paper, we have proposed the enumeration of leukemia-infected cell parasites in microscopic blood images. The infected parasites are detected by the proposed threshold method by maximizing the between-class variance and entropy of black and white pixels. The enumeration is carried out by connected component labeling technique from binary decision image obtained in maximizing entropy.
How to protect privacy in open data

When sharing research data for verification and reuse, behavioural researchers should protect participants’ privacy, particularly when studying sensitive topics. Because personally identifying data remain present in many open psychology datasets, we urge researchers to mend privacy via checks of re-identification risk before sharing data. We offer guidance for sharing responsibly.
Development of an automated fall detection device specific to wheelchair users

Purpose Falls are a major health concern among the 65 millions individuals who use a wheelchair worldwide.1 Older adults are four times more likely to use wheelchairs.2More than 60% of wheelchair users are affected by falls.3After a fall, wheelchair users spend an average of 9 minutes (range 1-45 min) on the floor and 80% require assistance to recover.4,5Remaining on the ground for an extended period of time after a fall is associated with a risk of future injurious falls, long term care admissions, and death.6Automated fall detection devices can be useful to provide timely assistance and minimize the consequences of a long lie.7Although used widely in ambulatory populations, the ability to detect falls among wheelchair users is limited.Abou, et al8 examined the efficacy of a native fall detection app built into an Apple watch.The device was only able to detected 4.7% of falls from a wheelchair.The development of a fall detection device specific to wheelchair users is needed to facilitate a quick and accurate response after a fall.This presentation will describe the initial development of a fall detection algorithm and device preferences of older adult wheelchair users (target population).Method Ethical approval obtained.The algorithm was developed based on repeated falls from a wheelchair with 30 participants.Research-grade accelerometers were attached to the participants' wrist, chest and head.Participants were first asked to performed a series of activities of daily living (e.g.transfers) to train the algorithm on the common, non-fall activities.Next, participants were asked to fall from a manual wheelchair in four directions: forward, left sideways, right sideways and backwards onto a pad.Three fall trials were performed in each direction (12 falls total).For each trial, data were synchronized on the start impulse and divided into 4s sample windows.A 4s data window centered on the fall event or the non-fall data was created in each trial.38 features were generated for each 4s trial window based on standard protocols.9Once the features were generated and selected, a feature vector was formed.Features were then normalized in the range between fall and non-fall classes.During classification, feature vectors extracted from the data were fed into the model, which recognizes the activity (non-fall or fall) of the user.An SVM technique with a K-Fold Cross Validation training classifier was used to avoid overfitting.9Feedback on the physical specifications of a fall detection device was obtain from interviews with the target population.Results and Discussion Accelerometers mounted at the chest and wrist presented with the best prediction outcomes to detect falls from a wheelchair, accuracy = 99.5% and 99.6%, respectively.Fifteen older adults who use wheelchairs reported they preferred a fall detection device to be in watch form.Participants wanted the ability to modify who is contacted in the event of a fall and to cancel a notification of fall in the event of a false alarm.Further testing will be performed to examine accuracy in a community setting.
Data Manipulation and Digital Forensics Analysis on WhatsApp Application

WhatsApp is one of the rare applications that has managed to become one of the most popular instant messaging applications all over the world. While inherently designed for simple and fast communication, privacy features such as end-to-end encryption have made confidential communication easy for criminals aiming to commit illegal acts. However, as it meets many daily communication and communication needs, it has a great potential to be digital evidence in interpersonal disputes. In this study, in parallel with the potential of WhatsApp application to contain digital evidence, the abuse of this situation and the manipulation method of multimedia files, which may cause wrong decisions by the judicial authorities, are discussed. The dangerous side of this method, which makes the analysis difficult, is that it can be applied by anyone without the need for high-level root authority or any other application on these devices. In addition, it is difficult to detect as no changes can be made in the database during the analysis phase. In this study, a controlled experimental environment was prepared on the example scenario, the manipulation was carried out and the prepared system analysis was included. The results obtained showed that the evidence at the forensic analysis stage is open to misinterpretation.
SISTEM SOSIAL, KULTURAL, DAN KEPRIBADIAN DALAM NOVEL EDENSOR KARYA ANDREA HIRATA (SOCIAL, CULTURAL, AND PERSONALITY SYSTEM IN THE EDENSOR NOVEL BY ANDREA HIRATA)

Social, Cultural, and Personality System in the “Edensor” Novel by Andrea Hirata. This study discusses the social, cultural, and personality systems found in the “Edensor” novel. This research is a qualitative research with a literary anthropological approach. The object of this research is a novel entitled "Edensor" by Andrea Hirata and focuses on social systems, cultural systems, and personality systems. The data used in this study are all texts in the novel "Edensor" which contain social, cultural, and personality systems. The data obtained were analyzed using the theory developed by Tallcot Parson. Based on the analysis, it can be seen that in Andrea Hirata's Edensor novel there are social systems, cultural systems, and personality systems. The social systems found include community subsystems, fiduciary systems, government systems, and economic systems. The cultural systems found include the norms subsystem, activity subsystem, and work subsystem. The personality system found includes motivation and needs.Key words: social system, cultural system, personality system, literary anthropology, Talcott Parsons' theorySistem Sosial, Kultural, dan Kepribadian dalam Novel “Edensor” karya Andrea Hirata. Penelitian ini membahas sistem sosial, budaya, dan kepribadian yang terdapat pada novel “Edensor”. Penelitian ini berupa penelitian kualitatif dengan pendekatan antropologi sastra. Objek dari penelitian ini adalah novel berjudul “Edensor” karya Andrea Hirata dan berfokus pada sistem sosial, sistem kultural, dan sistem kepribadian. Data yang digunakan dalam penelitian ini adalah semua teks dalam novel “Edensor” yang mengandung sistem sosial, budaya, dan kepribadian. Data-data yang diperoleh dianilisis menggunakan teori yang dikembangkan oleh Tallcot Parson. Berdasarkan analisis yang dilakukan, dapat diketahui bahwa di dalam novel Edensor karya Andrea Hirata terdapat sistem sosial, sistem kultural, dan sistem kepribadian. Sistem sosial yang ditemukan meliputi subsistem komunitas kemasyarakatan, sistem fiduciary, sistem pemerintahan, dan sistem ekonomi. Sistem kultural yang ditemukan meliputi subsistem norma, subsistem aktivitas, dan subsistem karya. Sistem kepribadian yang ditemukan meliputi motivasi dan kebutuhan.Kata-kata Kunci: sistem sosial, sistem kultural, sistem kepribadian, antropologi sastra, teori Talcott Parsons