Reviewerly/exHarmony huggingface dataset:
Risco de desenvolvimento de Diabetes Mellitus na comunidade universitária de Ouro Preto - MG.

Diabetes Mellitus (DM) is a grave, chronic disease that occurs either when thepancreas does not produce adequate insulin or when the body cannot effectively usethe insulin it produces. More than 400 million people live with DM in the world. Thereare three main types of DM: type 1 Diabetes, Type 2 diabetes e gestational diabetes.the objective of this study was to available the risk of develop DM at Universitycomunity of Universidade Federal de Ouro Preto and to make of the Mass Screeningof possible cases of DM. A cross-sectional study with a quantitative approach wasperformed at Pharmacy School, on November 14, 2018, questionnaires andmeasurement of capillary glucose were completed. To determine the risk ofdeveloping DM, the Finnish Diabetes Risk Score was used. As inclusion criteria itwas adopted that the participants should not have the diagnosis of DM. It wasadopted that the individuals of interest should not have the diagnosis of diabetesmellitus. The sociodemographic data analyzed were: date of birth, age, sex, years ofschooling and race / skin color of the participants, the variables related to lifestyleand health conditions were also analyzed, such as weight, height, BMI and the waistcircumference After analyzing the data, it was possible to notice that (51.3%) of theparticipants were male, who do not have a habit of physical exercise (59.1%),however they have a low risk of developing DM.. It can be concluded that mostparticipants have low risk for the development of DM, but it is clear that physicalinactivity is a present fact, so it is worth mentioning the need to insert the habit ofpracticing physical activity.
Media Literacy Program for Early Chilhood Teacher to Enhance Children Critical Thinking Skills in Sidoarjo

Mass media has become an un-integral part of almost every human beings living today. Include for young children. These children are being exposed to the media at a very young age. Some article report that they had the first contact with media as a user at the age of fewer than two. Meanwhile, children at this age have not developed critical thinking skills yet that they could believe and imitate what they have seen on media. Thus, it is important for adults around children to help children in developing their critical thinking skills and facilitates a good and healthy habit of media use both at home and school. School today are commonly integrate the use of media at school to support their learning, as in TK Al Hikmah Suko sung on Sidoarjo, they use a variety of media to deliver materials in their daily learning. The teachers generally have an ability to use media, however not the entire teachers are aware that media not only has a positive impact but also has a negative impact on children. The teachers also had very limited knowledge about literacy media and how to deliver the skills to the students. This community program is held through workshop and simulation. The program is aimed to increase the teacher knowledge and skills about media literacy and how to integrate the media literacy material into their teaching-learning process. The pre-survey revealed that teachers at TK Al Hikmah have the ability to access, to use the media and understand the media. However, they have little confidence to teach media literacy to the students. At the end of the community program, they have knowledge about media literacy include how to deliver the media literacy skill to increase students critical thinking skills.
PENERAPAN MODEL PEMBELAJARAN ARTIKULASI BERBANTUAN KAHOOT DALAM MENINGKATKAN KETERAMPILAN MENYIMAK CERITA RAKYAT (HIKAYAT) KELAS X

The background of the research is the low folklore listening skills and the lack of learning models and media applied to class X. It has impact to the students’ scores for under the KKM. This research was conducted during the Covid-19 (coronavirus disease) pandemic which implements distance learning (online) in class X MIPA 2 SMA Nusantara Plus, with total  26 students of the 2020/2021 school year. The research method used in this research is Classroom Action Research (CAR). Learning activities using this articulation model make the learning process easier to listen folklores. Kahoot media known as an attractive and more efficient evaluation media. This research was conducted in two cycles, in each cycle there were two meetings. The results of this study indicate an increase in the ability to listen to saga stories. This can be seen from the results of the pre-cycle average score of 55, cycle I increased to 70 but did not meet the KKM, followed by cycle II with an average value of 86. Thus it can be concluded that the use of Kahoot in articulation learning model can improve folklore listening skills of class X SMA Nusantara Plus.  Keywords: articulation learning model, Kahoot, listening skills, folklores
BIG DATA AND THEIR POSSIBILITIES

This article discusses the use of big data in higher education. Modern technological capabilities have changed the existing methods of data collection, storage and storage in large arrays. Big data processing has significantly increased society's transition to digital technology, the amount of data available. The ability to significantly simplify processes through modern methods,information management, analysis and implementation increases the efficiency of data and their processing.
TOWARDS AN UNDERSTANDING OF EMPLOYEES’ INTENTION TO USE ROBOTS

The goal of this study is to investigate the underlying factors that influence an employees’ decision to use robots at work. The Unified Theory of Acceptance and Use of Technology (UTAUT) was used in this study. This theory assumes that people’s actual behaviour and willingness to utilise technology is influenced by four underlying elements, namely performance expectancy (PE), effort expectancy (EE), social influence (SI) and facilitating conditions (FC). Based on this assumption, the specific objective of this study is to investigate the relationship between these factors and a fast-food restaurants employees’ intent to use robots at work. The role of gender as a moderator in each of these interactions was also considered in this study. Based on data acquired from an online survey, the stated hypotheses were tested using the Partial Least Square (PLS) approach. The findings revealed that performance expectancy and social influence enhances an employees’ intention to use robots at work. It also showed that there was no moderation effect in the proposed model. This study presents empirical facts and direction to managers in the fast-food industry in Malaysia, researchers and practitioners regarding the adoption of robots or technology-based services at work. Theoretical advances as well as prospective research directions are also explored.
Automatic mitosis detection in histopathology images &amp; grading using SVM classifier

Breast cancer grading plays one of the major and challenging research fields. A significant factor of Breast cancer grade is the mitotic count. Presently, mitosis count is observing manually by using microscope; it is difficult and consuming more time to process. The development of automatic mitosis detection in histopathology images & grading using SVM classifier is presented. Early detection of carcinoma and earlier knowledge of diagnosis to the patients are often identified using histopathological grading system of carcinoma. The standard system for carcinoma grading is NGS (Nottingham grading system). Nottingham grading system is consisting of three criterions such as Tubule formation, nuclear atypia, and mitosis count. The performance of mitosis detection can be validated by using two datasets from the MITOSIS-ATYPIA-14. Compare with existent methods, it produces accurate, fast and less time consumption. The standard performance measurements like accuracy, sensitivity and specificity also predicted
Mapping Spreadsheets to RDF: Supporting Excel in RML

The RDF Mapping Language (RML) enables, among other formats, the mapping of tabular data as Comma-Separated Values (CSV) files to RDF graphs. Unfortunately, the widely used spreadsheet format is currently neglected by its specification and well-known implementations. Therefore, we extended one of the tools which is RML Mapper to support Microsoft Excel spreadsheet files and demonstrate its capabilities in an interactive online demo. Our approach allows to access various meta data of spreadsheet cells in typical RML maps. Some experimental features for more specific use cases are also provided. The implementation code is publicly available in a GitHub fork.
Library guides: Library Search guide: Tips on using Search

Help with using Search, the Library's discovery platform Technical tips, tools, troubleshoots, how to's and FAQs
SmartDPO - Template Based, Integrated Flow Document Management System

This paper presents an integrated flow document management application that is based on blockchain technology and uses the PrivateSky platform. The presented application can be easily adapted to any domain application (metrology, energy). It uses security and confidentiality principles applied with help of PrivateSky technologies and the authors present how these techniques can correct the main shortcomings of existing solutions on the market. The presented app was initially developed based on MVC pattern, and then reconfigured for Action Domain Responder pattern.
High-Speed Reservoir Computing with Spin-VCSELs

We introduce a reservoir computing scheme where a VCSEL with optical spin injection and delayed optical feedback serves as a reservoir. Polarization modulation is considerably faster than intensity modulation, allowing a tenfold increase of processing speed. The performance is benchmarked using timeseries prediction tasks.
대학 온라인 수업에서 사회적 실재감이 학습몰입, 학습만족도 및 학습지속의향에 미치는 영향 분석

The purpose of the study was to analyze the effects of social presence on students’ learning flow, satisfaction, and learning intention in online education of universities, especially during in COVID 19 pandemic situation. In total, 256 validated questionnaires were analyzed by students who have studied by online class in universities, especially for students studying hostility industry. These results are based on research, and the outcomes are as follows: First, it was shown that among Social Presence Factors, sense of community & open communication in online class had significant effect on students’ learning flow. Secondly, when students’ learning flow in online classes is higher, learning satisfaction and intention to learn go up. Even in online classes, efforts to get connected with instructors and students are really important to more focused in their learning experiences. As COVID pandemic lasts, instructors have to organize various online settings for make students feel involved and bonded to the classes and universities. Third, the results showed freshmen of university marked the lowest score in all areas. Due to COVID 19, freshmen are in very unusual situation to get through online classes without socializing with faculty and other students. To improve their online learning experiences, faculties and universities have to be more carefully organize various activities for them.
Evaluating and Measuring Citator Functionality during Migration from a Search Engine to a Graph Database

Shepard's service is an online service offered within the suite of search and retrieval Service. It allows customer to validate cites, find citing references to cases, statutes, and other legal content. It has several reporting and analyzed information that are tied to regular search and Full doc view. The dynamic nature and relationship of this cites to their citing references and the underlying size of the corpus creates a complex system, which involves several different search techniques and reporting methods. Currently, there is an ongoing effort to migrate Shepard's service from search engine to graph database. The most significant challenge the new system is facing is to be at par with the old Search engine infrastructure not only in terms of data but also for different Shepard's functionalities like the report, preview, case card, and signals. There was a need to come up with a tool that would give measurement and evaluation at every point of development. This system should also cater to all the stakeholders such as the developer, product, and the management to identify the issues and roadblocks and help them keep track of the progress.In this paper, we discuss an API comparison framework that distinguishes two sets of responses coming from two different service calls. The service calls could come from different environment, or same environment with different ABE users configured. Underlying database used could be configured using ABE or some other method transparent to this Tool. Some of the existing tool like STF does an excellent work on showing the relevance, position, and several aspects of the search, however along with STF we need something which does more in depth analysis of data. This tool fills the gap that STF is not covering and evaluates different result that are provided to the client. The tool can look at live production request that have come within a given time frame and replay them in an environment that is configurable within the tool. The current implementation does evaluate and compares the result of two responses, measuring how close or different those service layer responses are from each other, and it gives detail information on where the issue is and what service request was associated with it. Capturing the request allows to reuse it and reproduce the system behavior at a later time. It also keeps track of the transaction id, so that developers can investigate further during execution of the test. This tool saved a lot of Testing time in this project and it processes large set of test cases and data, helping to identify issues earlier in the development cycle. It is also like a regression suite giving confidence on what is getting built. This tool fits in along with several tools and approach we have like (ABE/ dark Launch / STF). Other than migration work described here, this tool can be used for regular functional enhancements or regression.
PERANCANGAN APLIKASI MATEMATIKA MATERI KAIDAH PENCACAHAN DAN PELUANG KEJADIAN MAJEMUK BERBASIS ANDROID

Along with the development of technology, some students have left learning with books because it is easier to find knowledge on the internet. But everything listed on the internet is abstract, and not all can be accessed by Android. Therefore an android application is needed to make it easier for students. The design of this android contains learning Mathematics, rules of enumeration and opportunities for multiple events for high school. This application uses data collection methods in the form of material from books, the internet, and various other sources. Development methods include system analysis, system design and system testing. The design of this application uses Adobe Flash to make applications and Android as compailer. The programming language used is action script 3.0.
Relationship between development and quality of governance from the perspective of political economy (Case study: Islamic Republic of Iran)

Political economy deals with the interaction of economics and politics, in which, ultimately, a political agenda is provided for the economy. From this point of view in contemporary times, various efforts have been made by Iran for sustainable development and several development plans have been written, but what is observed in practice not only does not have development, but has also been added to the country's problems. While explaining why, many factors may be involved, but since the Islamic Republic of Iran is considered as one of the developing countries, one can not overlook the special role of the government in development or inadequate development. Therefore, the present study, aimed at the pathology of non-development of Iran, presents the main question of how can Iran's failure to achieve sustainable development be assessed? In response to the above question, the research hypothesis states that the lack of attention to good governance indicators and in accordance with it, the low quality governance in Iran is one of the important factors that can contribute to this failure. The research method used in this research is descriptive-analytic and its framework is based on a library-based political economy.
TINJAUAN PENGELOLAAN JARINGAN IRIGASI BENDUNG MENCONGAH KABUPATEN LOMBOK BARAT

The  purpose  of  this  study  was  to  determine  the  water  balance,  and  water  supply  system  in  the  group  of  farmes  using  the  P3A  Mencongah  weir.  The  method  used  in  calculating  the  maximum  rainfall  is  the  Gumbel  method.  After  analyzing  the  availability  of  water  for  irrigation  on  the  Mencongah  Weir  irrigation  network  during  the  growing  season  it  is  fulfilled,  where  the  minimum  discharge  is  9,445  m 3 /sec,  while  the  water  demand  at  the  farmer  level  is  6.139  m 3 /sec. The  provision  of  water  at  the  farmer  level  during  the  growing  season  for  the  four  WUA  groups  (Water  User  Farmers  Assocoation)  at  Mencongah  Weir  continuously,  and  in  rotation
THE DEGREE OF CREATIVE LEADERSHIP PRACTICE AND ITS RELATIONSHIP TO MANAGING ORGANIZATIONAL EPILEPSY AMONG DEPARTMENT HEADS FROM THE VIEWPOINT OF FACULTY MEMBERS AT WASIT UNIVERSITY

The study aimed to identify the relationship between creative leadership and organizational conflict management among department heads from the viewpoint of faculty members at Wasit University. In order to find out the differences according to the variables of gender and specialization, the study sample consisted of (200) male and female teachers from the study population, they were chosen by the simple random method, and the researcher adopted the descriptive correlative approach to conduct the study. The two tools of the study consisted of a questionnaire of (40) items to measure lateral leadership and (36) items to manage organizational conflict prepared by the researcher. The results of the research data were analyzed using the (SPSS) program, The results of the research showed that the degree of creative leadership practice of academic department heads was high, and the results indicated that the level of organizational conflict management for academic department heads was high, and there was a positive relationship between the practice of creative leadership and the level of organizational conflict management for department heads from the viewpoint of faculty members at Wasit University and in In light of the results of the research, the researcher presented a number of recommendations, including continuity in maintaining the degree of practice of creative leadership and management of organizational conflict, as well as deepening and increasing awareness of the importance of creative leadership, and continuity in raising awareness of organizational conflict management methods through training and informing them of the advanced and renewable global experiences and proposing to conduct similar studies in Iraqi universities‎. Keywords: Practice, Creative Leadership, Organizational Conflict Management, Heads of Departments, Wasit University
Orderly Rule of Spatial Distribution of Mineralization and Location Prediction to Orebody

This paper systematically discusses the universalism of the orderly rule of mineralization space distribution, expression forms, formation mechanism, and gives examples for their analysis. At the same time, the sense for prediction and prospecting of mineralization orderly distribution is stressed, principles and methods for the location prediction of orebodies are proposed.
Economic Return of Higher Education in Pakistan: Cross Sectional Analysis of HEC

Pakistan is a developing country, determined to improve the human capital level through spending in education sector. Tertiary education in Pakistan is nourishing gradually, but still its economy is facing lower returns due to deficient investment in education sector, as compared to many developing countries. This study is undertaken in order to accumulate the returns to higher education by using mincer type earnings model. The data used in this study is taken from PSLM survey (2013) that is well-known source of data that provide data concerning household and demographic variables. The study found that monetary returns to higher education in Pakistan are higher than lower education levels. Household’s head with pre secondary education earns PKR.5700 higher than others having no schooling or less schooling than pre secondary education where as individuals having higher education earn PKR.24,840 higher than individuals having lower levels of education. The study concluded that increase in level of schooling has positive impact on earnings of individuals. The regression estimates depicts that more educated individuals earn more income and higher education shows highest returns among all education levels. Promoting higher education in country will enlarge the wellbeing of individuals that would indirectly affect the society, as well as the nation’s economy as a whole
Penerapan Logika Fuzzy Menggunakan Metode Mamdani Pada Prediksi Jumlah Kasus Positif Covid-19

The Covid-19 pandemic has caused many hospitals around the world to experience difficulties both in terms of management and infrastructure advice in providing services because the number of patients soared in a short time so that treatments such as providing services, facilities, and medical personnel were unpredictable. Therefore, we need an application that can predict the number of positive Covid-19 cases 14 days later to help the Covid-19 Handling Acceleration Task Force team in order to provide the right policies for handling the provision of services, facilities, and medical personnel. Fuzzy logic that can be used to analyze Covid-19 problems that contain uncertainty at this time. The research conducted to design the system was obtained from the observation of existing data, in this study using descriptive research methods. The results of this study conclude that the fuzzy logic of the Mamdani method in predicting the number of positive cases of COVID-19 in West Java Province has an error rate of 50.16%. The application of fuzzy logic in predicting the number of positive cases of covid-19 uses the fuzzy logic model of the mamdani method to predict the number of positive cases of covid-19 in West Java Province with an error rate of 50.16%
A Multi-Level Semantic Fusion Algorithm Based on Historical Data in Question Answering

To solve the problem that existing machine reading comprehension models can't understand the semantics of articles and questions well, this paper proposes a multi-level semantic fusion neural network based on natural language understanding and deep learning. The model combines calculations of attentions at different levels with cross-layer fusions of historical data. Experiments on the SQuAD dataset prove that our proposed model is superior to traditional models in terms of the exact match rate and F1 value. Our model can better transmit and interpret data and enhance the performance of question answering systems.