Reviewerly/exHarmony huggingface dataset:
Retention Pool As Alternative For Flood Control Case Study Of Bapertarum Housing, Sumenep Regency

Indonesia is a water country with thousands of rivers and hundreds of deep seas. This causes Indonesia to become a country that is very prone to flooding. But basically, there are several factors that cause this to happen, namely: natural events, drainage damage and environmental degradation caused by human activity itself. Geographically, Bapetarum Housing is an area located in a rainwater catchment area so that it is prone to flood events. High rainfall intensity can cause flood inundation as high as 30 cm. The purpose of this study is to calculate the adequacy of the retention pond to cope with flooding. The procedure for collecting research data begins with analyzing the flood, namely primary and secondary data. Meanwhile, the data analysis techniques used are planning rain analysis, rainfall intensity, flood discharge analysis, retention pond capacity. The retention pond capacity is sufficient because the dimensions of the retention pond are larger than the volume of the retention pond capacity when the flood is 6750m3&gt;6447m3. The retention pond is planned in the downstream area of the residential river with a pool area of 50 x 40 meters and a depth of 4.5 m. The bottom condition of the pond is saturated because it is always inundated with water, the infiltration rate is constant (fc). The constant infiltration for clayey soil type is 0.5 m/day, the infiltration volume rate that occurs at the bottom of the pond is 179 m3/hour, the volume is below the threshold 8283.21 m3, infiltration time is 46 hours.
STUDENT-CENTERED ORIENTATION OF COMPUTER SUPPORT FOR THE COMPLEX ANALYSIS COURSE FOR FUTURE MATHEMATICS TEACHERS

The article sets forth the author's views on the directions and means of implementing the principles of student-centered approach in the fundamental mathematical education of future mathematics teachers, with the emphasis on computer support as one of the key factors in the formation of digital competence and meeting learning requests and needs of students. The importance of the problem is determined by the need to identify ways to build methodological systems of student-centered education for students of higher pedagogical institutions, in the context of digitalization of educational space and the specifics of the profession and individual disciplines. The authors of the study made an attempt to highlight the theoretical, organizational and technological aspects of the use of the complex number formula calculator CaRevolJet and mathematics computing environment Maple for the complex analysis course in order to develop digital and methodological competencies of future mathematics teachers. The research involved the use of such theoretical and empirical methods as a systematic analysis of scientific and pedagogical sources, European and national recommendations and regulations for the implementation of the updated concept of student-centered learning and the formation of digital competence of the teacher; examination of published materials with insights into pedagogical experience on the research problem; pedagogical observation on the basis of Berdyansk State Pedagogical University (Berdyansk, Ukraine), interviews and surveys of students. The article provides detailed guidelines for the use of CaRevolJet and Maple in solving various types of practical problems of complex analysis, determining the place of this activity in the overall structure of the educational process and establishing links with the future profession. Positive results of approbation of the developed materials in the basic institution of higher education allow determining the prospects of further scientific research in the chosen direction on the basis of what has been achieved. Key words: student-centered learning, future mathematics teacher training, computer support for complex analysis, CaRevolJet, Maple.
Pengembangan Sistem Informasi Pengukur Kesiapan Akreditasi Program Studi 9 Kriteria

The accreditation system is a form of assessment (evaluation) of the quality and feasibility of higher education institutions or study programs carried out by independent organizations or bodies outside universities. The assessment is used as a quality benchmark for all study programs and higher education institutions, both from public and private universities that organize professional and academic programs. The better the value of accreditation will have an impact on the views of outsiders regarding the quality of the study program and higher education institution. However, the collection of data and information as well as filling out forms in the informatics study program still have many obstacles, such as the large number of data used as assessment criteria that requires a lot of time and effort. And also continuously accreditation that keeps repeating every few years is one of the problems faced in storing the accreditation data. Therefore, we need an information system that is able to integrate the entire contents of the supporting data so that during the evaluation process information is obtained about what parts are lacking and have met the standards. From the research that has been done, the results show that the system can run as expected so that researchers expect the use of this accreditation system to provide an overview of the accreditation value of study programs, and study program managers can take action to prepare and improve accreditation status so that they can get the highest score.
Source origin and paleoenvironment of organic matterin the turonian sediments of Yola sub-basin, northern Benue trough, Nigeria: Intergrated mocular and elemental geochemical approach

No Abstract.
The Effectiveness of Video-Based Learning Media to Increase Student Economic Learning Outcomes During the Covid-19 Pandemic

The COVID-19 pandemic provides valuable lessons for the world of education, especially Indonesia's readiness for the learning process. Adjustment of the learning process that was previously in the form of face-to-face to internet-based learning. This study aims to determine the effectiveness of using video-based learning media in improving high school students' learning outcomes of Economics. The research method used is a descriptive research method with a survey approach. We collect data in this study, namely observation, interviews, and documentation, which were then analyzed by calculating the percentage of sample answers and tested using various theories. The sample in this study was determined according to the research needs of 119 respondents. This study shows the average respondent's answer is 4, 04 or categorized agree. Thus, based on the analysis conducted, video-based learning media improved student economic learning outcomes in high school during the COVID-19 pandemic. Video-based learning media is a practical learning resource during the covid-19 pandemic that makes it easy for students to understand economic learning materials. during the Covid-19 Pandemic. This research also contributes to similar research in the context of developing online learning media during the pandemic and digital era.
Mining Frequent Sequential Rules with An Efficient Parallel Algorithm

Sequential rule mining is one of the most common data mining techniques. It intends to find desired rules in large sequence databases. It can decide the essential information that helps acquire knowledge from large search spaces and select curiously rules from sequence databases. The key challenge is to avoid wasting time, which is particularly difficult in large sequence databases. This paper studies the mining rules from two representations of sequential patterns to have compact databases without affecting the final result. In addition, execute a parallel approach by utilizing multi core processor architecture for mining non-redundant sequential rules. Also, perform pruning techniques to enhance the efficiency of the generated rules. The evaluation of the proposed algorithm was accomplished by comparing it with another non-redundant sequential rule algorithm called Non-Redundant with Dynamic Bit Vector (NRD-DBV). Both algorithms were performed on four real datasets with different characteristics. Our experiments show the performance of the proposed algorithm in terms of execution time and computational cost. It achieves the highest efficiency, especially for large datasets and with low values of minimum support, as it takes approximately half the time consumed by the compared algorithm.
Transformasi Ruang 3D Pada Animasi Expresi Wajah Avatar Berbasis Radial Basis Function

One technique for forming facial animations on avatars is by reusing existing animations, either from other avatar animations or animations from motion data obtained using facial motion capture. This research focuses on the transformation of 3D space for the formation of facial animations on avatars in games or animated films. The transformation is carried out from motion capture data into a 3D avatar face model with 3 face models, namely the human face model, the swan face model and the anoman face model. The motion capture data is transferred according to the feature points of the face model. The results obtained by the facial model feature points will have animations that match the motion capture data. Of the 3 target face models used, the animation results with registration on the human face model have an average standard deviation is 0,0510. The goose face model has an average standard deviation is 0.0034 and the anoman face model has an average standard deviation is 0,0024. With this technique, it is hoped that the formation of facial expression animation on Avatar can be done more quickly because of the reuse of facial motion capture data.
Innovative Media Space of the Modern Library

The purpose of the article is to analyze the approaches to the use of modern virtual and augmented reality technologies in the organization of the media space of a modern library. The research methodology is based on methods of semantic analysis of the subject area basic concepts. The main directions of the libraries’ transformation in the conditions of technological and information development of society are considered in the article. The novelty of the study is the analysis of innovative approaches to the use of immersive technologies in the organization of the modern library’s media space. The article presents ways to apply virtual and augmented reality technologies in the direction of storytelling, as well as the use of modern approaches to establishing social and communicative links between the library and readers. Conclusions. The use of innovations in modern libraries and the transformation of book collections into information media space promotes the interest of readers and the promotion of library institutions. Modern libraries are required not only to preserve the classical structure of the information institution as an institution for the collection and preservation of printed and manuscript works but also to become modern information and educational space. Presented approaches to virtualization and the use of augmented reality in modern libraries expand opportunities for the promotion of science, literature, promote the involvement of young people in scientific and cognitive activities.
Financial Development, Income Inequality and Poverty Alleviation: Some Empirical Evidence

This study examines the relationship between financial development, income inequality and poverty reduction in a sample of 48 Sub-Saharan African (SSA) countries, observed during the 1980-2017 period. The results indicate that financial development, when proxied by private sector credit and liquid liabilities, reduces poverty. The results are mixed for the Claims on domestic real nonfinancial sector by the Central Bank. On the other hand, the results of the direct and cross-estimates showed a positive and significant effect of income inequality on poverty. We conclude that income inequality is such large that a larger proportion of the population is impoverished and the poverty gap is widening further. Moreover, income inequality seems to slow down the positive effects of financial development on poverty reduction. The findings allow us to recommend that monetary and public authorities in SSA countries support the development of the financial sector, particularly banks, encourage financial institutions to channel financial resources to the poor but with income-generating initiatives and enforce laws to control income inequality.
Current State of Knowledge of the Development of Early Modern Ceramics in the Czech Republic

This study is an overview of the professional interest in archaeology of the modern age in the Czech Republic. Increased interest in the archaeology of the Modern period came after the year 2000. The number of published Early Modern pottery assemblages has increased significantly over the past decade. Recent years have seen a change in the publication strategy of Modern period assemblages. As such, the large Modern period find inventory is forcing archaeology to make a critical selection of assemblages which will subsequently be the subject of detailed processing and evaluation. The most important selection criteria include the complexity of the find situation, the possibility of placing it into the social context or the actual expansion of knowledge of period material culture.
GEOGRAPHIC INFORMATION SYSTEM OF PATIENT DEVELOPMENT IN JAYAPURA HOSPITAL DURING PANDEMIC

Jayapura is a city has population over 240,340 people (Source: Jayapura administration department 2021) and will be increasing in the number of patients in hospitals every year, it will have impact on all hospitals in Jayapura. With this condition, the level of patient development during pandemic and before pandemic will be known. Based on the results of data collection, it is possible to classify categories of disease and treatment in hospitals to choose the best hospital in handling disease and treating patients, especially during pandemic because health management is having difficulties because the medical team focuses more on pandemic patients. Therefore, it is necessary to have geographic information system to collect and provide information to public about the level of development of patients in hospitals, using the PIECES analysis method, designing using Unified Modeling Language (UML) method, using waterfall development method and using QGIS for software used. This research resulted the Geographic Information System for the development of patients in Jayapura City Hospital during Pandemic as means of information for patients in Jayapura.
Inter operator variability of machine learning researchers predicting all-cause mortality in patients admitted to intensive care unit

Abstract Background The number of publications using machine learning (ML) to predict cardiovascular outcomes and identify clusters of patients at greater risk has risen dramatically in recent years. However, research papers which use ML often fail to provide sufficient information about their algorithms to enable results to be replicated by others in the same or different datasets. Aim To test the reproducibility of results from ML algorithms given three different levels of information commonly found in publications: model type alone, a description of the model, and complete algorithm. Methods MIMIC-III is a healthcare dataset comprising detailed information from over 60,000 intensive care unit (ICU) admissions from the Beth Israel Deaconess Medical Centre between 2001 and 2012. Access is available to everyone pending approval and completion of a short training course. Using this dataset, three models for predicting all-cause in-hospital mortality were created, two from a PhD student working in ML, and one from an existing research paper which used the same dataset and provided complete model information. A second researcher (a PhD student in ML and cardiology) was given the same dataset and was tasked with reproducing their results. Initially, this second researcher was told what type of model was created in each case, followed by a brief description of the algorithms. Finally, the complete algorithms from each participant were provided. In all three scenarios, recreated models were compared to original models using Area Under the Receiver Operating Characteristic Curve (AUC). Results After excluding those younger than 18 years and events with missing or invalid entries, 21,139 ICU admissions remained from 18,094 patients between 2001 and 2012, including 2,797 in-hospital deaths. Three models were produced: two Recurrent Neural Networks (RNNs) which differed significantly in internal weights and variables, and a Boosted Tree Classifier (BTC). The AUC of the first reproduced RNN matched that of the original RNN (Figure 1), however the second RNN and the BTC could not be reproduced given model type alone. As more information was provided about these algorithms, the results from the reproduced models matched the original results more closely. Conclusions In order to create clinically useful ML tools with results that are reproducible and consistent, it is vital that researchers share enough detail about their models. Model type alone is not enough to guarantee reproducibility. Although some models can be recreated with limited information, this is not always the case, and the best results are found when the complete algorithm is shared. These findings have huge relevance when trying to apply ML in clinical practice. Funding Acknowledgement Type of funding sources: None.
DEVELOPING AN E-BOOK BASED INTRODUCTION TO ECONOMICS LEARNING MATERIALS USING ALDIKO CLASSIC APPLICATION FOR SOCIAL SCIENCES STUDENTS

&#x0D; &#x0D; &#x0D; &#x0D; This research has a long-term purpose: to implement the study of introduction to economics effectively and efficiently. The learning materials developed were the non-printing type using the Aldiko Classic application so that the students do not have to spend more money to buy the printed learning material. The students just have to download the application (for free) in Playstore and install the learning materials of introduction to economics developed in such application. It was expected that the social sciences education students better understand the learning materials taught by the lecturer using the e-book and ease them to study independently. The stages in developing the e-book based learning material are as follows: 1.) analysis stage (analysis) covers the analysis of learning sources and learning material requirement, 2.) design stage (design) is to determine the learning material framework, cover learning material, layout, references, and creating assessment instrument of learning material, 3.) Development stage (Development) covers developing an e-book based learning material, experts validation and revision, 4.) implementation stage (implementation) is the trial test of learning material which has been validated, 5) Evaluation stage (Evaluation) is the stage to analyze weakness and strength of learning material which has been tested to students. The research results are 1) the development of an e-book based introduction to economics learning material has excellent feasibility because it has been conducted validation with an average score of 83% (valid). 2) the learning material of e-book based introduction to economics was declared practical to be used by the students based on the results of the response questionnaire with an average score of 77% (practical).&#x0D; &#x0D; &#x0D; &#x0D; &#x0D;
Radio frequency identification (RFID) and database- based attendance management system

Effective record and management of students and staff attendance of academic and non academic activities/events are vital for the smooth functioning of the educational system. This is still a difficult task in most institutions, particularly in Nigeria with a large number of staff and students attending different academic and non-academic functions. This is even more difficult to manage when the traditional method of paper and pen is used to record attendance, prone to errors, and in most cases lack integrity due to manual handling of the record. Electronics and Information Communications Technologies (ICT) can be deployed to help mitigate these problems and improve reliability, ease, speed, efficiency, effectiveness, and integrity of recording and managing attendance. In this work, we used Radio Frequency Identification (RFID) and database management to provide an alternative solution that addresses issues of objects (humans and non-humans) authentication, authorization, and record management with high accuracy, reliability, and integrity using RFID-Arduino technology. The system works by reading staff’s and/or student’s details stored in a unique RF tag wirelessly through theRF reader and then matched and stored the record in the system’s database. Attendancemarking was achieved by matching the scanned ID with the database record. The system was successfully implemented and tested with 10 students and staff participants with the feature of exporting the records into excel format for statistical analysis and performance evaluation.
FORMATION OF THE CAMPUS AS A STUDENT SETTLEMENT

The article highlights the characteristic features and the main cause-and-effect relationship of university campuses with the urban environment and, in particular, their purely functional content with science, education, living, recreation, which is carried out in an architectural-spatial environment. The article examines the historical context and the main stages of the development of student campuses in order to study the patterns of campus formation in accordance with the socio-cultural development of society. Foreign and domestic experience are considered. Current trends in the development of student campuses are briefly identified.&#x0D; Formulation of the problem. The latest level of civilization in the development of society determines the need for close attention to the development of science, modern educational technologies. A society that imitates the transition of industrial development is in the post-industrial period and makes the transition to the information society, needs the latest organization of education and, accordingly, the formation of the latest architectural and planning structures of university complexes. Modern technology parks, which are the newest multifunctional architectural and planning formations, began the development of this system of student campuses, aimed at overcoming the socio-economic crisis of the postwar period of the 50s and launched the latest system of urban planning, where education, science, housing, commercial and technological activities are located in a compact settlement, which fully contributes to the goal of intensifying science and economics. Modern university complexes also have their own civilizational mission of progress, which requires the implementation of the task of continuing education within the purposefully formed urban and architectural spatial planning structures of campuses. Comfortable living, conditions of continuing education, places of public space, conditions for maintaining a healthy physical shape, cultural development - a necessary basis for the implementation of the program of continuing development and education.