Reviewerly/exHarmony huggingface dataset:
Changes in the nutritional profile of medicine students during the COVID-19 pandemic period and its correlation with anxiety: a prospective cross-sectional observational study

Introduction: Pandemics cause strong social, economic, and political impacts. Social isolation to reduce the virus’ impact and to retard the health system breakdown caused by SARS-Cov-2 have affected the population’s lifestyle, including medical students. Objective: Identity which impacts the daily meal plan has the COVID-19’s Pandemic caused in medical students; Correlate data obtained in different grades of the medical course and present the nutritional profile of the students, who attended the study. Methods: Survey realized in students of a private medical course in the São Paulo northwestern region, with a questionary containing open questions and tests, sent online in conjunction with the Term of Consent. This study was analyzed and approved by the Research Ethics Committee according to a substantiated opinion number 4.373.785, and obtaining the patient's consent through the Informed Consent Form. Results: 117 students, between the 1st and 4th grade of the course, have attended the following study, 75 female, 42 male, allocated in similar proportions in the 4 initial grades of the course, ages between 17 and 31 years old; Most of the students feel more anxiety (78,6%), associated with changes in the nutritional profile, with the increase of high-energy food, highlighted by the bigger propension of this group to the consumption of sweets and white-wheat pasta in the daily meal plan. It is important to notice that many other food groups have suffered an enhancement in consumption as well, such as legumes, dried meat, vegetal oil, olive oil, and greenery. Conclusion: The COVID-19 Pandemic brought impacts to the daily meal plan of the medical students, especially in the ones who feel more anxious. The enhancement of the daily consumption of food by the medical students is notable, in the most diverse food classifications. However, it is concluded in this study that it cannot be said that anxiety and/or self-declared stress is a risk factor for the increase in food consumption observed, as well as a pattern of its impacts on the students' food, cannot be defined.
“Can I Get It or Not?” A Public Services View of Cataloging Electronic Journals

From the early days of electronic journals, the University Library’s serials cataloging staff has followed CONSER guidelines. The catalog, MIRLYN, contains separate records for print, microform and electronic journal formats. In some cases what the people view as positive or negative characteristics will not have exactly the same manifestations in other collections or catalogs, but the people have tried to identify what they see as common issues. However, it may be that even the experienced library user overlooks the technical notes and moves immediately to the next screen, seeking location information. If the multiple record option is chosen, with one record for each format, the people would also like to see a change from current practice. A list of three items, one for each format, or one item with an enumeration of the three available formats would be even better.
Tversky Similarity based UnderSampling with Gaussian Kernelized Decision Stump Adaboost Algorithm for Imbalanced Medical Data Classification

In recent years, imbalanced data classification are utilized in several domains including, detecting fraudulent activities in banking sector, disease prediction in healthcare sector and so on. To solve the Imbalanced classification problem at data level, strategy such as undersampling or oversampling are widely used. Sampling technique pose a challenge of significant information loss. The proposed method involves two processes namely, undersampling and classification. First, undersampling is performed by means of Tversky Similarity Indexive Regression model. Here, regression along with the Tversky similarity index is used in analyzing the relationship between two instances from the dataset. Next, Gaussian Kernelized Decision stump AdaBoosting is used for classifying the instances into two classes. Here, the root node in the Decision Stump takes a decision on the basis of the Gaussian Kernel function, considering average of neighboring points accordingly the results is obtained at the leaf node. Weights are also adjusted to minimizing the training errors occurring during classification to find the best classifier. Experimental assessment is performed with two different imbalanced dataset (Pima Indian diabetes and Hepatitis dataset). Various performance metrics such as precision, recall, AUC under ROC score and F1-score are compared with the existing undersampling methods. Experimental results showed that prediction accuracy of minority class has improved and therefore minimizing false positive and false negative.
Impact of aerosols on photovoltaic energy production using a spectrally resolved model chain: A case study for Sub-Sahara West-Africa

&amp;lt;p&amp;gt;West Africa has a great potential for the application of solar energy systems, as it combines high levels of solar irradiance with a lack of energy production. Southern West Africa is a region with a very high aerosol load. Urbanization, uncontrolled fires, traffic as well as power plants and oil rigs lead to increasing anthropogenic emissions. The naturally circulating north winds bring mineral dust from the Sahel and Sahara and monsoons - sea salt and other oceanic compounds from the south. The EU-funded Dynamics-Aerosol-Chemistry-Cloud Interactions in West Africa (DACCIWA) project (2014&amp;amp;#8211;2018), dlivered the most complete dataset of the atmosphere over the region to date. In our study, we use in-situ measured optical properties of aerosols from the airborne campaign over the Gulf of Guinea and inland, and from ground measurements in coastal cities.&amp;lt;/p&amp;gt; &amp;lt;p&amp;gt;Based on an analysis of the aerosol optical properties form the DACCIWA measurement campaign, the impact of aerosol on PV power is investigated for polycrystalline silicon and amorphous silicon technology using a spectrally resolved model chain. The model considers both spectral effects on global irradiance due to different aerosol properties as well as the spectral response of different PV technologies. First, the contribution of various aerosol types (mineral dust, biomass burning and anthropogenic pollution) derived from a post-project classification is studied. Subsequently, differences between these imaginary aerosol scenarios and a real case during a biomass burning outbreak on July 13, 2016 in Benin are presented. The results show that aerosol emissions due to the biomass outbreak on the day of the case study in Cotonou lead to solar flux losses of up to 55% and photovoltaic power reduction of up to 81% for the polycrystalline cell and 78% for the amorphous cell. The relative impact of aerosols differs depending on aerosol type and concentration, being larger for low solar zenith angles than at noon. For the situation studied in Cotonou, Benin, we are able to show that the inclusion of spectral aspects leads to a significant effect when calculating the PV power. Comparing the effects of aerosols on the photovoltaic power of the two technologies, we find that the amorphous cell suffers a greater reduction in power during the morning and evening hours - when there is more diffuse irradiance - of 36% than the polycrystalline cell (27%). Conversely, in the middle of the day, we observe greater PV power reduction of the polycrystalline cell of 12% compared to the amorphous cell (8%).&amp;lt;/p&amp;gt; &amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Acknowledgements:&amp;lt;/strong&amp;gt; Funding was provided by&amp;amp;#160; the German BMWi under contract 0350009A and BMBF under contract 03SF0567A-.&amp;lt;/p&amp;gt;
CULTURAL HERITAGE CONSERVATION: CASE STUDY OF PEDAWA VILLAGE, BALI- INDONESIA

Bali, which is famous for its tourist areas, has many cultural heritages, one of them is the Bali Aga villages. Bali Aga Village is an indigenous village that existed before the arrival of community from the island of Java in the era of the Majapahit kingdom. Pedawa Village which is located in Banjar District, Buleleng Regency is one of the Bali Aga Villages in Bali which has many cultural heritages that need to be preserved. This village is very famous for its culture, customs and belief that are still preserved by the local community. One of the cultural heritages is the temple named Pura Dalem Kayehan Desa and Kayehan Desa Alas Jeringo which both have natural springs that are used by all villagers in daily basis. These two temples are used for activities ranging from sacred activities (rituals and traditional ceremonies) to profane (bathing and washing clothes). Local community often experience difficulties when carrying out sacred and profane activities during the rainy season due to the low quality of access that is difficult to pass. Hence, there are no adequate supporting facilities to perform ritual and profane activities. Moreover, the condition of the temple is not well maintained, so it requires immediate treatment. This study raises the concept of preserving these two temples and water springs in Pedawa Village. This conservation is urgent because these two temples are very important for the local community but its condition is not maintained and well organized. Interviews, focus group discussions and field surveys is applied to determine the suitable conservation concept. Results show that the conservation concept applies the Tri Mandala concept (sacred area, middle area and profane area). Further, participation and needs of the local community also has become the important contribution towards the basis of conservation concept of these two temples.
Case alternation in lexicalized grammar

In this paper, we propose to extend the Przepiórkowski's 2000 analysis of Long Distance Genitive of Negation to the same phenomenon in Lithuanian. We discuss the features that have their origin in Categorial Grammar. We then develop a novel analysis of the case alternation in Categorial Grammar incorporating features of the HPSG analysis. The two accounts show a surprising convergence in basic assumptions and predictions.
The gamification of philosophy for meaningful learning in higher education

Introduction. With the impact of the COVID-19 pandemic, higher education institutions had to become more dynamic, to transform the face-to-face course in its traditional model towards an online course or distance mode, without changing the student-centered pedagogical model. This article documents the gamification of the philosophy course to get meaningful learning proposed by David Ausubel. Presentation of experience. It is implemented from a game program where the user interacts and plays while learning about the concepts found in each of the levels of the game. The software was developed using the Programming language (high level) C ++ version C ++ 17, using Visual Studio 2019 as an integrated development environment “IDE” in the epistemological unit of the philosophy class. Discussion. To implement the gamification of philosophy, collaboration between the engineering faculty with the Programming Lab III class and the administrative and social sciences faculty with the General Philosophy class is required. Conclusion. The gamification of a course implemented in tele-teaching contributes to meaningful student learning. Collaboration between faculties favors the interdisciplinarity of the teaching-learning process. A student-centered type of teaching arouses greater assimilation and interest, as the student transitions from a passive role to a leading role. The students show greater interest and importance of the pedagogical space, such as the development of competences, among others, the capacity for analysis and critical thinking.
Fundamental Considerations of Teaching with Mobile Technologies

This chapter explores parallels between CALL and MALL and outlines how the technological affordances of various devices affect the ways in which they are used to achieve specific goals. The chapter describes the interrelationship of technology, research, practice and theory; outlines the evolution of mobile technologies and emphasises the importance of moving from affordance-based practice to pedagogy-based practice as technologies move through the hype cycle (cf. Gartner, 2016). The issue of push and pull modes associated with mobile technologies is outlined here, along with the ability of mobile devices to interact with other devices through a range of networking functions, the potential for mixed-reality learning and context-sensitive learning, and the use of other functions such as cameras and audio recorders for language learning. The chapter continues by pointing out some of the limitations of research on technology use in language education and then considers some of the complexities of both theory and practice in MALL in order to lay the foundations for the later chapters.
Cloud Quantum Computing

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Visualizations and Compositional Data Analysis for the European Time Use

Time use data is a specific data that is of interest to many researchers such as sociologists, psychologists, statisticians and etc. It is multivariate by nature and can be seen as a subtype of multivariate data called compositional data. Thus, time use data can also be analyzed and visualized by compositional data analysis techniques. This is rarely mentioned in literature; usually analyses and visualizations of time use data is shown in multivariate real space. However, this may lead to false interpretation of the data and even some multivariate statistical analysis cannot be directly applied before a transformation is made. The main contribution of this study is to show how an analysis might be used for time use data and what benefits might be gained from this new setting of the data set as compositional parts. Indeed, the results show that there some are differences between traditional techniques and compositional data analysis.
Quantum Computing

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CLASSIFICATION OF USER COMMENTS IN A MOBILE APPLICATION USING DATA AUGMENTATION WITH MACHINE LEARNING TECHNIQUES

With the increasing use of social media in recent years, there are too many comments to be followed on almost every issue. These comments contain both important and unimportant information. But, it is almost impossible to follow of so many comments nowadays. In this study, text classification of user comments made to the Anadolu University mobile application was made. It was estimated whether the comments made on the application were related to the content or the application. In addition, the effect of oversampling and undersampling on text classification performance was investigated. For this purpose, synthetic minority oversampling technique (Smote), condensed nearest neighbor undersampling technique (CNN) and random undersampling (RUS) technique were applied to the data set. 1008 user comments received from mobile application were classified by these techniques. In the Smote oversampling classification, ANN algorithm was found to have the best classification with 93.57% accuracy. In the undersampling classification, Random Forest algorithm was found to have the best classifications with 72.22% accuracy. In the random sampling classification, Extreme Gradient Boosting algorithm was found to have the best classification with 84.44% accuracy.
Profanity and Play: Solidarity in the Discourse of Cyberbullying

Offering the world countless remarkable benefits, computer mediated communication has become an essential feature of modern life. However, it has also become a medium for personal aggression and abuse of diverse kinds. The discourse of online vilification has been the topic of much research, for instance on the behaviour of trolls. This study focuses on a little researched phenomenon, the discourse of cyberbullying, in particular a subtype, cybermobbing, in which a group of participants gather online to attack an individual over a period of time. The study takes up an example of such participants who joined a Facebook group dedicated to abusing a prominent sportsman. The purpose of the study is to identify the chief discourse characteristics of cybermobbing that bind the participants together. The analysis reveals a high degree of solidarity among the participants expressed through profanity, humour, and play. The results will also throw light on the mentality of those who engage in cybermobbing.
INTEGRATING TECHNOLOGY IN EFL CLASSROOM FOR INDONESIAN ADOLESECENT LEARNERS

The coming of the internet and the advancement of technology make revolution in Language Pedagogy, especially in the EFL classroom. Teaching the students who were born as the digital natives forces EFL, teachers have to integrate technology in language teaching. This article was written based on a recent EFL teacher’s practice. This study employed a case study method with 30 students of grade 9 of Junior High School in the west part of Indonesia as the participants. The aim of this study was to elaborate the way how the teacher made the students more familiar with the computer and the internet access in EFL Classroom. A Messenger Group as the main communication platform, supported by other web-based platforms including school’s Facebook (FB) group and online materials were integrated into learning activities. The findings showed that students found using technology in the classroom was easy due to the teacher’s instruction. They also reported that the technology integration in their EFL classroom encouraged their creativity and helped to accommodate their diverse interest. As a result, the students feel more comfortable and confident using technology for educational purposes and, become more creative and innovative in doing their project. Beside the clear instructions from the teacher, the availability of the computer laboratory, internet access, and students’ smartphones really help the success of this course.
Instructional Technology in Engineering: Do Men and Women Derive the Same Benefits?

In order to facilitate active learning (i.e., student interactions) and emphasize real-world applications in an introductory undergraduate biomedical engineering course on probability and statistics, we have developed a scaffold of multiple instructional technologies [1].These technologies include the course management system, BlackBoard®, hyperlinked PowerPoint® notes, Classroom Performance System (CPS) technology, and "real-world" MATLAB®intensive problems.Our assessments of this scaffold suggest that, over all, the instructional technology components are supporting student learning in the intended ways [2, 3].Our prior studies, however, have evaluated the scaffold with the data aggregated for both genders.In this study we look at whether or not men and women derive different benefits from the instructional technologies.Our data presents an analysis of survey data on instructional technology perceptions and usage over several semesters in undergraduate courses.The impact of students' attitudes toward math and technology learning more generally is also considered.Our findings are useful in developing instructional strategies that enable the most effective use of technology to support learning by a diverse student body.
Score comparability of TEPS and TOEIC.

Scores from TEPS (Test of English Proficiency developed by Seoul National University) and TOEIC (Test of English for International Communication) are widely used in Korea for various purposes, including employment, admission, and certification. However, there is more than one score conversion relationship between these two tests, causing confusion among test takers. Moreover, the conversion relationships were established in 2004 and 2011 and have not been updated since then. With this background, a large-scale score comparability study was undertaken to develop a new score conversion table for TEPS and TOEIC. Data were collected from a total of 1,415 test takers using a single group design. Log-linear presmoothing and equipercentile methods were used for linking, with cross validation across subgroups. Results showed that the old conversions were disadvantageous to a certain test-taker group. A new conversion table between the two tests is then suggested.
21st-Century Skillset Perceptions of Students in an Information Technology Career Academy Compared to those at a Comprehensive School

In this study, we compared the perspectives of students' 21st-Century competencies (critical thinking and communication, applied learning, and intrapersonal and interpersonal skills) based on participating in an urban magnet information technology (IT) career academy compared to a traditional, comprehensive high school.We utilized propensity score matching to match academy and comprehensive high school learners on various demographic variables.The propensity score matching resulted in 299 matched pairs (n = 598).Using the matched groups, we ran linear regression models to investigate the relationship between school participation and students' perceptions of their 21 st -Century skill attainment.We found that when compared with their comprehensive school peers, academy students believed their schools significantly contributed more to their abilities to apply knowledge from their coursework to a real-world context.We found no significant differences in critical thinking and communication skills as well as intrapersonal and interpersonal skills.Our findings indicate that the nature of the curriculum and instructional strategies within a career academy are beneficial.These strategies include the use of curriculum integration, workbased learning, and project-based learning to increase the meaningfulness and relevancy of content.
Technology-based higher education institution toward the new normal

This paper presents the use of technology and digitalization of education sector during the pandemic and the new normal after COVID-19. The education is one of the highest priority sectors that must not be interrupted by the pandemic. Digital technology relates to the internet connection has highly occupied in the last 6 months in Indonesia. The education has insisted immediately to use technology, especially online class meetings. Therefore, it is the critical time now for education, particularly in Indonesia to move forward involving digital technology. Not only to know and to use, but also capable of understanding and developing the technology-based innovation. Digitalization of university employs upgrading the infrastructure, developing ecosystem for digital education and research, digital services, and improving human resources. The organization structure of higher education also needs to change. Research center, innovation center, and triple helix collaboration are compulsory for higher education-based technology in the new normal era.