Reviewerly/exHarmony huggingface dataset:
Integrating Python into Physical Chemistry Lab

This paper shows a method for integrating computer programming into a standard physical chemistry laboratory sequence to augment student analysis abilities and allow them to carry programming skills forward to other courses. The Python programming language is used, taking advantage of the pedagogical benefits of Jupyter notebooks, primarily the ability to intersperse instructions and interactive code cells. A series of five notebooks, plus one traditional script exercise are designed to teach basic techniques (e. g. loops, assignments, data types), instrument interfacing, model fitting, and introductory quantum chemistry. The skills are directly applicable to labs the students perform during the hands-on portion of the courses. A survey of students who have completed the course show high confidence in their ability to learn new skills, and student comments reveal they have used these skills in a variety of other contexts.
Simulasi Jenis Penyakit Pasien yang Berobat Menggunakan Metode Monte Carlo

The Community Health Center (Puskesmas) is a functional health organization in providing comprehensive and integrated services to the community. This organization is a community health development center that fosters community participation in improving public health services funded by the government. As the first health facility in providing health services, the Puskesmas is often visited by many patients who arrive at the same time. The number of patient visits that are too many is inversely proportional to the health workers who are on duty. This causes the ongoing health services to be less than optimal. To improve these services, identification of the type of disease is carried out so that better services can be prepared. The purpose of this study is to predict the type of disease in the future. The data on the types of diseases that were processed in this study from 2019 to 2021 were sourced from the Silaping Health Center. The data is processed by the Monte Carlo method. The results of this study are predictions of types of diseases in the future tend to increase every month, so that the Puskesmas must prepare more medical personnel who have expertise in their fields. This information can be used as a reference in the application of manpower to higher institutions to improve services. Thus, this system is very helpful in improving services by making it easier to identify needs for the future
Estimated date of delivery with electronic medical records by a hybrid GBDT-GRU model

Abstract An accurate estimated date of delivery (EDD) helps pregnant women make adequate preparations before delivery and avoid the panic of parturition. EDD is normally derived from some formulates or estimated by doctors based on last menstruation period and ultrasound examinations. This study attempted to combine antenatal examinations and electronic medical records to develop a hybrid model based on Gradient Boosting Decision Tree and Gated Recurrent Unit (GBDT-GRU). Besides exploring the features that affect the EDD, GBDT-GRU model obtained the results by dynamic prediction of different stages. The mean square error (MSE) and coefficient of determination (R 2 ) were used to compare the performance among the different prediction methods. In addition, we evaluated predictive performances of different prediction models by comparing the proportion of pregnant women under the error of different days. Experimental results showed that the performance indexes of hybrid GBDT-GRU model outperformed other prediction methods because it focuses on analyzing the time-series predictors of pregnancy. The results of this study are helpful for the development of guidelines for clinical delivery treatments, as it can assist clinicians in making correct decisions during obstetric examinations.
IT Service management system for EMBL’s European Bioinformatics Institute’s IT department

EMBL-EBI, Europe's biomolecular data hub, is a world leader in managing and analysing big data in biology and making it freely available to scientists worldwide. Research infrastructures (RI) like EMBL-EBI rely extensively on information technology (IT) services to conduct research and support the delivery of scientific services. These IT services are complex and diverse and IT service management (ITSM) has been shown in other domains to help to improve efficiency and productivity. ITSM is a collection of standards that help organisations develop a process-based approach for managing the full lifecycle of IT services, while keeping their users' needs at the forefront and promoting continuous improvement. However many organisations struggle with the design and implementation of an ITSM system as it involves the need for organisational change, and because the process approach can seem rigid and bureaucratic on the surface. This article aims to share the experience of the EMBL-EBI IT department in designing and implementing an ITSM system. ITSM implementation steps, benefits, challenges, opportunities, and practices are highlighted, critically analysed, and discussed.
HUBUNGAN KECERDASAN EMOSIONAL DAN PERILAKU SOSIAL DENGAN KETERAMPILAN KOLABORASI DALAM PEMBELAJARAN

This study aims to examine and find out empirical data regarding the relationship between emotional intelligence and social behavior with student collaboration skills in learning, either partially or simultaneously. This study uses a survey method with data collection tools using a questionnaire that is preceded by direct observation and interviews with data sources, namely undergraduate students of the Faculty of Engineering, Islamic University 45 Bekasi as the population. While the sampling in this study used a cluster sampling technique by taking the fourth semester students at the Faculty of Engineering, Islamic University 45 Bekasi, amounting to 70 students. The data analysis used is correlation and regression analysis which is described descriptively. The results of this study indicate that there is a positive and significant relationship between emotional intelligence and student collaboration skills in learning with a correlation coefficient of 0.917 and a coefficient of determination of 84.1%. Second, there is a positive and significant relationship between social behavior and student collaboration skills in learning with a correlation coefficient of 0.704 and a determination coefficient of 49.6%. Third, there is a positive and significant relationship between emotional intelligence and social behavior together with student collaboration skills in learning with a correlation coefficient of 0.919 and a coefficient of determination of 84.5%.
Non-Reader's and Parent's Experiences Amidst Pandemic: A Case Study

Since, the Department of Education in the Philippines has set its parameter as to the preferred mode of learning delivery nationwide, parents are compelled to simultaneously work for a living and facilitate learning at home.They need to heighten the degree of their involvement in the educational process specifically when child reads below the expected level of reading proficiency.This situation prompted the researcher to venture on the experiences of the 4 th grade learners and their parents converting their home to a classroom.Thus, this study aims to identify the challenges encountered by the 4 th grade learners and their respective parents in developing reading skills at home.In the same manner, the researcher also described their experiences in developing reading skills amidst pandemics by way of employing qualitative design and purposive sampling technique.The selection of the respondents includes 3 non-readers and their respective parents whereby they were asked to describe their experiences in terms of learning resources, financial stability, educational attainment, time given to the learners and support received from school or teachers.It was found that majority of the parents are financially struggling which results to limited resources, no conducive space at home for learning and many distractions.It was also revealed that less education and language barrier led to inaccurate instruction in developing reading skills.The parents also admitted that bringing education at home is a burden to them because they must work and teach their children at home simultaneously.Another issue was found to be the challenge in developing reading skills at home since they were not trained for that.On the other hand, non-readers found to be challenged learning at home with no appropriate learning resources, distraction such as but not limited to household chores, parents support and no space for learning.Thus, the parents and learners proposed for home visitation and limited face-to-face.
Unsupervised Learning Algorithms for Keyword Extraction in an Undergraduate Thesis

The amount of data managed in many academic institutions has increased in recent years, particularly in all the research work done by undergraduate students, who simply use empirical techniques for keyword selection, forgetting existing technical methods to assist their students in this process. Information and communication technologies, such as the platform for integrated research and academic work with responsibility (PILAR), which records information about research projects, such as titles, summaries, and keywords in their various modalities, have gained relevance and importance in the management of these. We proved algorithms with these records of research projects that have been analysed in this study, and predictions were made for each of the nine (09) models of unsupervised machine learning algorithms that were implemented for each of the 7430 records from the dataset. The most efficient way of extracting keywords for this dataset was the TF-IDF method, obtaining 72% accuracy and [0.4786, SD 0.0501] in average extraction time for each thesis file processed by this model.
Separation estimation at the quantum limit with arbitrary Gaussian sources

Recent works showed that the separation between two point sources can be estimated at the quantum limit using intensity measurements after spatial-mode demultiplexing. However, so far these results have been either limited to low-intensity, or thermal sources. In this talk, we will present an analytical expression for the Quantum Fisher Information for the separation between two sources in an arbitrary Gaussian states. This expression allows us to determine the ultimate resolution limit for a series of practically relevant states, e.g. correlated or displaced thermal states (corresponding to partially coherent sources) and squeezed states (exhibiting quantum correlations). Moreover, we will show how a simple estimation technique, requiring access only to the mean value of a linear combination of demultiplexed intensity measurements can be used to saturate these limits. Finally, we will discuss the applicability of the proposed methods in present experimental setups.
A Study on Actual Situations of ‘The Late Generalization’ in Japanese Universities－Focused on Cases of the University of Tokyo

In the midst of the tremendous social changes brought about by the era of the 4&lt;sup&gt;th&lt;/sup&gt; Industrial Revolution as well as that of A.I. (Artifical Intelligence), a crisis in theory is now emerging within universities. As seen by the changes and reforms undertaken in education by universities to prepare their students for the future society, there have been attempts to reorganize the education system, especially within the liberal arts. Moreover, the importance of the general education at universities is receiving new attention. In this study, I will analyze and contemplate the liberal arts oriented curriculum found at the University of Tokyo. The background of the introduction of ‘The Late Generalizaton’ curriculum and its completion course will be investigated and reported on. The University of Tokyo made the liberal arts oriented education take a lead role in its reforms based on the liberal arts ideology and has been reinforcing its general education faculty to meet its goal of raising talented people to solve global issues in a rapidly changing world. In particular, by practicing ‘The Late Generalization’ not just for entry level students, but also for second, third and fourth year students, (and in fact even for graduate course students), the needs for liberal arts education to develop an inter-disciplinary way of thinking is being emphasized more and more. Also, by implementing an organic integration of liberal arts and major subjects, a new model of liberal arts education is being suggested. With such emphases being placed on liberal arts education in Japanese universities, even in the case of higher level students, liberal education has considerable implications for Korean university education. Referring to organic fusion education, which crosses the liberal arts with the natural sciences, I will attempt to identify issues on liberal arts education in Korean universities, and will also try to suggest the possibility of The Late Generalization (high level liberal arts education) for qualitative improvements of our liberal arts education.
Rancang Bangun Solar Power Meter berbasis Arduino Uno dengan Data Logger untuk Pengukuran Insolasi dan Iradiasi Sinar Matahari

In planning the installation of solar panels at a location, it is necessary to have solar irradiance data at that location. Solar irradiance data is obtained through direct measurements using a solar irradiance meter. Solar irradiance measuring instruments usually use one of three types of sensors, including thermopile (pyranometer), solar cells, or photodiodes. Each has advantages and disadvantages. The advantages of solar cell sensors are that they have a faster response to sunlight, are more in line with the production of energy produced by solar panels and have a more economical price compared to other sensors. Solar irradiance is directly proportional to the short-circuit current of the solar cell. The aim of this research is to design an Arduino Uno-based device to measure the insolation and irradiance of sunlight, equipped with a data logger to support data analysis. The solar power meter is designed using a solar cell reference with a short circuit current of 455 mA. The microcontroller board used is Arduino UNO ATmega328 while the current sensor used is WCS2801 with a sensitivity of 2mA/mV. Irradiation, current and insolation data are recorded and stored every minute using a datalogger to SD card with a capacity of 16 GB. the average of % error when testing the comparison of readings with photodiode-based solar power meter is 1.747%. The highest point of sun insolation is 5.56.kWh/m2 during three-day period of data logging and it is achieved when solar cell is positioned horizontally on the terrace.
Sistem Pendukung Keputusan Evaluasi Problematika Pendampingan Pembelajaran Daring dengan Algoritma C4.5

The Covid-19 pandemic has had an impact on many parties, this condition has penetrated the world of education, the central government to the regional level provides policies to close all educational institutions. However, the problem is currently, education in Indonesia and even the world is faced with a situation that makes teachers and students master distance or online learning, especially during this Covid-19 pandemic. In this study, the use of the C4.5 algorithm method used questionnaire data distributed and filled in by teachers who teach at SDN 14 ATTS Bukittinggi City which contains questions, namely the teacher's name, student name, subject, class, UTS and UAS scores, student obstacles during online learning such as students not having devices, students arriving late, uncooperative students. With this research, students at SDN 14 ATTS will get an appropriate learning method for each subject, so that students can absorb knowledge to the maximum and have satisfactory results in online learning. A Decision Support System using the C4.5 Algorithm can be applied in determining the right method for online learning for students so that they can better understand the material provided by the teacher and get satisfactory results in online learning.
The Degree of Native Language Teachers’ Consideration of Persuasive Writing Skills in Teaching Expression

This study aimed to examine the degree of Arabic language teachers’ consideration of persuasive writing skills in teaching expression and their differences according to the variables of gender, academic qualifications, and years of experience. To achieve the objectives of the study, the descriptive approach was applied in the form of the school survey method. The study sample consisted of 239 male and female Arabic language teachers in public schools of Najran region in the Kingdom of Saudi Arabia. They constituted 42.7% of the study population. To collect the data, the study used a questionnaire consisting of 21 items after verifying its validity and reliability in the Saudi context. The results showed that the degree to which the Arabic language teachers consider the persuasive writing skills in teaching expression in all domains of the study instrument and the total score ranked moderate. Also, the results revealed that there were statistically significant differences in the degree of Arabic language teachers’ consideration of persuasive writing skills in teaching expression in all domains of the study instrument and the total score due to gender variables in favor of females, academic qualifications in favor of graduate studies, and years of experience in favor of ten years or more. The study recommends the Ministry of Education should work on developing the practices of Arabic language teachers for persuasive writing skills in teaching expression by providing appropriate training programs.
Adaptation of Indonesian Folk Games as A Method to Increase the Interest of German Students in The Kampung Jerman Simulation

This research is a continuation of the Kampung Jerman simulation research. Kampung Jerman is a massive role-playing simulation, in which there are various places and situations from various professions and themes of daily life that students can play to practice their spontaneous speaking skills in German language. The purpose of this research is to find a supporting game that can add a fun aspect to the Kampung Jerman simulation. It is intended to create a more comfortable condition to reduce the pressure on students during speaking practice. In addition, the use of Indonesian folk games is expected to give the participants a familiar impression and there is no need for complicated explanations on how to play them. Data were collected through questionnaires given to students representing various levels of language ability. The analytical method used is descriptive-qualitative based on the results of the questionnaire. The results of the analysis show that the six new games have a very high pleasant aspect and have a positive effect on the German language skills of beginners. The number of points given by respondents is almost perfect. There were no negative responses to any of the questionnaire statements. In addition, it is assumed that the game can increase respondents' interest in practicing their German language. From their selection of games, it appears that they think games that use more vocabulary and sentence formation are the best way to complete the Kampung Jerman simulation than games that only emphasize the physical aspect.&#x0D;
Can NMT understand me?

Neural Machine Translation (NMT) has reached a level of maturity to be recognized as the premier method for the translation between different languages and aroused interest in different research areas, including software engineering. A key step to validate the robustness of the NMT models consists in evaluating the performance of the models on adversarial inputs, i.e., inputs obtained from the original ones by adding small amounts of perturbation. However, when dealing with the specific task of the code generation (i.e., the generation of code starting from a description in natural language), it has not yet been defined an approach to validate the robustness of the NMT models. In this work, we address the problem by identifying a set of perturbations and metrics tailored for the robustness assessment of such models. We present a preliminary experimental evaluation, showing what type of perturbations affect the model the most and deriving useful insights for future directions.
Pemanfaatan VLAN Untuk Meningkatkan Kinerja Jaringan Komputer BKPP Kabupaten Bogor

Computer networks have an important role in a government agency, especially BKPP. In their daily life, these institutions carry out activities of exchanging documents and data, printing files on the same printer and using hardware or software that is connected to the network together. Government agencies play a very important role in serving the community, therefore a good, secure, stable and fast network is needed in processing small and large data. The Bogor Regency Personnel, Education and Training Agency uses one computer that acts as a multifunctional server for the database server, DHCP server, and web server at the same time. From the results of the analysis, it was found that the topology used is an extended star with IP class C. Using a firewall that is applied to the router, as well as the default Windows antivirus that is already installed on every PC and laptop. Meanwhile, access point security uses WPA2-PSK. The problem faced is that it is easy for people from other divisions who are not interested in seeing and accessing files in other divisions that are confidential. Thus, a VLAN is needed to manage access rights between computer network users in order to maintain data and file authenticatio
Recovering Blurred Images to Recognize Field Information

This paper introduces a new computational approach for fast deblurring non-blind imaging. The method implementation reveals how to solve image deblurring integrals with arbitrary kernels using the Theory of Hypernumbers. The method is applicable for real-time event recognition when kernel parameters can be defined by monitoring camera vibration and kernel&ndash;vibration association algorithms.
Correlation between I-Learning Skills, Domicile and Student Learning Achievement in Distance Education

This article will describe a part of the results of the research that aims to analyze the relationship between literacy skills, domicile and learning outcomes of the Mataram Universitas Terbuka (UT) students. This research was conducted using a correlational survey method. The data were collected with an instrument in the form of a questionnaire. The population is the 2020 Early Childhood Education Teacher (ECET) Program students as many as 982 students. The sample is an ECET Program new students who are in the odd and even semesters of 2020 as many as 213 students. All samples are respondents. The results show that there is no significant relationship between domicile, and student learning achievement and I-literacy with student learning achievement. This is because student learning achievement are based on their ability to read and master the Basic Materials Book. Recommendations that can be conveyed are to prepare new students to study independently, train how to learn to use print and non-print media, including how to understand the content of the Basic Materials Book.