Reviewerly/exHarmony huggingface dataset:
Wave Deflections of Some Ghanaian Musical Instruments; The Case of Fontomfrom and Atumpan

This paper explores the mathematical vibrations of the Fontomfrom and Atumpan drums using the two-dimensional wave equation. This wave equation is transformed into a Fourier-Bessel function to determine the wave profiles of these drums. Simulations analysis is performed to obtain the deflections of these drums at different radii and time based on the quadratic and the cubic radial function. The quadratic function gives evidence of slight harmonic vibrations after the rhythmic vibration at the beginning of the initial deflection at the center. This gradually dies off close to the edge of the drums. In contrast, the vibrations of the cubic function as well die off at the edge of these drumheads but have greater membrane vibrations in the neighborhood of the center.
Il PEL in chiave inclusiva Biografie linguistiche in Rete

The study concerns inclusive language education of young people and adults with a research on the pedagogical function of the Language Biography of the European Language Portfolio. The research study involved students attending a course offered by University of Florence. Among the aims of the course to provide students with practical experiences and metacognitive activities on Language Biography with a view to merging ICT (Information and Communication Technologies) with language learning. The article reports on this experience, using data gathered from student questionnaires, showing the potential of Language Biography as a tool for inclusive teaching and learning and consciously working to foster learning across differences – of languages, cultures, needs, motivations, experiences, skills – that characterize each learner.
Samarium–neodymium isotope map of Western Australia

Isotope maps are used to characterize lithospheric architecture through time, to understand crustal evolution and mineral system distributions, and play an increasingly important role in exploration targeting. These Sm-Nd isotope maps of Western Australia (Fig. 1) are based on whole-rock Sm-Nd data for felsic igneous rocks, which provide a window into the middle and lower continental crust, and are used for isotope mapping. Although mafic to intermediate igneous and sedimentary rocks were not used in constructing the contoured isotope maps, Sm-Nd data for those samples are included with those for felsic igneous rocks in the data table.
Quantum radar: can it really work with high losses?

The “quantum Radar” seeks to harness quantum entanglement and squeezing to improve the detection of faint targets beyond the best possible classical sensor. The major challenge of the quantum Radar is the very large optical loss of the target beam, which induces vacuum fluctuations and hampers the quantum correlation. In addition, the faint target reflection requires the use of high power beams, which favors high-power stimulated sources of coherent squeezed light over spontaneous low power sources of entangled photons. I will present the lossy SU1,1 nonlinear interferometer with coherent seeding as a candidate for quantum Radar sensing. I will highlight the quantum features of this sensor and report a demonstration of the quantum enhanced interference contrast, even in the presence of high loss.
Challenges Presented to Paraguayan Teachers by the Measures Adopted Due to Covid-19

Due to the pandemic caused by COVID-19, educational systems around the world have been disrupted as they were forced to stop face-to-face classes in at least 70% of institutions. Paraguay was not the exception, interrupting classes early and abruptly forcing teachers to quickly adapt to this new reality. This mixed quan-qual study presents an analysis
HEALTH CARE FOR TYPE 2 DIABETES MELLITUS PATIENTS

Objective: to identify and analyze the main health care for patients with Type 2 Diabetes Mellitus and to study how patients perform self-care. Method: this is a bibliographic, descriptive, integrative review type study. The search for articles was carried out in the databases MEDLINE, LILACS, Scopus and BDENF and in the Virtual Library SciELO, time frame from 2013 to 2018. The descriptors "Diabetes Mellitus Type 2", "Nursing Care" were crossed "and" Self-care ", totaling 788 studies found, followed by a careful evaluation of the content, which resulted in a final sample composed of 17 articles. Results: three categories were evidenced within the studies: "Care with the use, administration and storage of medications"; "Glycemic control and self-care of patients / Foot care" and "Caring for food, physical activity, body weight and family support". Conclusion: it is concluded that the nurse must develop educational activities, aware of his role as an educator, so that the patient understands the need for treatment and participates in his adherence.
Re-designing the Blood Transfusion Procedure in Operating Theatres

We observed a gap between Work-as-Imagined and Work-as-Done in blood transfusion procedures in operating theatres. By examining procedures at genba (‘actual workplace’), we found an adaptive procedure that was attributable to physical challenges of using an optical barcode identification system.Introduction of a barcode system in a hospital in Japan affected the work of frontline staff in unintended ways, though they managed to pursue their own tasks and created a tangled procedure using paper-based forms. Round table discussion revealed how staff did not understand each other’s tasks and priorities, how they shared the value of safe and efficient procedures and how tasks were connected to each other. This understanding helped align the gap between Work-as-Imagined and Work-as-Done, and re-design the blood transfusion procedure under shared values. We evaluated the new procedure and showed that it was successfully adhered to for over a year.This chapter illustrates an example of muddling through decisions at all levels which connect to and influence each other, and have unexpected consequences that create the gap between Work-as-Done and Work-as-Imagined. We also discuss the need for the gap to be reconciled; it is essential that all relevant professionals come together and redesign the work under mutual understanding and shared values.
ANALISIS ALGORITMA C4.5 UNTUK MENENTUKAN PENERIMA BIDIMISI (STUDI KASUS DI STIA NUSANTARA SAKTI SUNGAI PENUH)

Bidikmisi is an educational cost aid for prospective students unable to economically and has good academic potential. STIA Nusantara Sakti Sungai Penuh get bidikmisi with limited quota so that not all candidates can be accommodated. In this research, the writer will take algorithm C4.5 for classification of receiver of bidikmisi. The research method used in this experiment using algorithm analysis C4.5 Classification Decision Tree thus expected result is get accurate rule for selection of beneficiary in STIA Nusantara Sakti Sungai Penuh. In the case of data processing related to bidikmisi, criteria of receiver bidikmisi accordance with regulations established by Kemenristekdikti and STIA Nusantara Sakti Sungai Penuh. The author applies C4.5 algorithm to determine the recipient of bidikmisi because C4.5 algorithm has a high enough accuracy so it is expected to assist in determining who is entitled and eligible to get aid program bidikmisi.
Organizational and pedagogical conditions for the development of bilingualism in preschool children

The article is devoted to the problem of speech development in bilingual children. Preschool age is a favorable period for the development of speech. The main attention in the article is paid to teaching Russian and Mordovian languages (Erzya/Moksha) to bilingual children, since their speech development has a certain specificity that affects the proficiency of both languages (this specificity determines the peculiarities of speech development and teaching methods). On the basis of a theoretical analysis of the problem and their own experience, the authors determine the pedagogical conditions for the development of the speech of bilingual children in the process of forming elementary mathematical concepts. Research methods: the research is based on the analysis, generalization and systematization of modern achievements of pedagogical theory and practice in the development of the speech of bilingual children.
FolkRank++: An Optimization of FolkRank Tag Recommendation Algorithm Integrating User and Item Information

The graph-based tag recommendation algorithm FolkRank can effectively utilize the relationships between three entities, namely users, items and tags, and achieve better tag recommendation performance.However, FolkRank does not consider the internal relationships of user-user, item-item and tag-tag.This leads to the failure of FolkRank to effectively map the tagging behavior which contains user neighbors and item neighbors to a tripartite graph.For item-item relationships, we can dig out items that are very similar to the target item, even though the target item may not have a strong connection to these similar items in the user-item-tag graph of FolkRank.Hence this paper proposes an improved FolkRank algorithm named FolkRank++, which fully considers the user-user and item-item internal relationships in tag recommendation by adding the correlation information between users or items.Based on the traditional FolkRank algorithm, an initial weight is also given to target user and target item's neighbors to supply the user-user and item-item relationships.The above work is mainly completed from two aspects: (1) Finding items similar to target item according to the attribute information, and obtaining similar users of the target user according to the history behavior of the user tagging items.(2) Calculating the weighted degree of items and users to evaluate their importance, then assigning initial weights to similar items and users.Experimental results show that this method has better recommendation performance.
ANTESEDEN DAN KONSEKUENSI SINISME PADA LAYANAN APLIKASI DARING ALODOKTER

This study aims to examine the effect of antecedents and consequences of cynicisim when use Alodokter application. The level of individual cynicism towards the Alodokter application was identified due to anxiety, negative emotions, and security in us e Alodokter application. Cynicism has an impact on attitudes toward failure and attitudes toward learning in use of online application. Data were collected through questionnaires that distributed to users of the Alodokter application. This study sample was 200 user Alodokter application. The sampling technique used was convenience sampling. These were analysed using SEM (Structural Equation Modeling) analysis with path analysis method. The results in this study indicated that all of hypotheses are supported. Cynicism has a positive effect on attitudes toward failure and negative effect on attitudes towards learning. The anxiety variable has a positive effect on cynicism, the variable of negative emotions has a positive effect on cynicism, and security has a negative effect on cynicism. Pat analysis method gives the result that cynicism has a mediating role in this study. It`s means that the antecedent variables of cynicism consist of anxiety, negative emotions, and security requi re cynicism as an evaluation of individuals to form attitudes toward failure and attitudes toward learning to take the further action.
Information and Communication Technologies and Academic Performance inHigh School in Colombia

This article studies the relationship between access to information and communicationtechnologies (ICT) and academic performance measured at the individual and municipal level in the areasof Language, Mathematics and English in Colombia between 2014 and 2016 using the results of theSaber 11 tests. At the individual level, we estimate a quantile regression model, while at the municipalitylevel, we perform a spatial analysis and estimate the causal effect by instrumental variables. Resultssuggest that, at the individual level, the correlation between access to ICT and academic performancevaries according to the type of student and the area of knowledge. At the municipality level, we foundthat, at an increase of one unit in the proportion of students with a computer, the municipality’s averageacademic performance increases by more than 5 standard deviations for language and mathematics andby more than 6 for English. The results suggest the need to execute policies that allow balancing theeffect of ICT between students with low and high academic performance.
How to utilize physics to enhance artificial intelligence

Deep neural networks exploit millions or more free parameters that are tuned to a requisite large and curated dataset. The black-box nature of these models masks interpretability and the ability to diagnose failures. Although astonishing performance gains are being achieved, these come at the expense of exponential rise in computation and memory utilization. This talk will review how the emerging convergence of physics and neural networks will confront these challenges, extend the rise of artificial intelligence, and create opportunities for scientific discoveries.
RESTAURANT DENSITY PREDICTION SYSTEM USING FEED FORWARD NEURAL NETWORK

In this day and age, information about something is so important. The level of trust of modern society depends on the testing of information. Tested and accurate information will have a good impact on the community. One of the important but often missed information is information about the density of a restaurant. Information about restaurant density is important to know because it can affect the actions of someone who will visit the restaurant. This information is also useful to provide information in advance so that diners avoid full restaurants to avoid the spread of the Covid-19 virus, among other things. With limited operating hours as well as the number of restaurant visitors, information about the density of a restaurant becomes much needed. The lack of information on restaurant density is a major problem in the community. The needs of the community, made this study aims to predict the density of a restaurant an hour later. Based on survey data and existing literature data, with simulation methods and also system analysis built using feedforward neural network artificial intelligence architecture and then trained with Backpropagation algorithms produced accuracy of 97.8% with literature data
Designing for Persuasion through Embodied Experiences in Virtual Reality

Embodied experiences in virtual reality (VR) involves the reproduction of sufficiently realistic sensory information so that users are able to see, hear, and feel experiences as if they are going through them at the moment. A growing body of literature evinces that the effects of these virtual experiences carry over into the physical world to impact attitudes and behaviors in the physical world. Underlying mechanisms of embodied experiences that produce these outcomes are discussed in the context of media affordances or interactions between novel attributes of VR and user perceptions of them. Design implications to maximize persuasive effects are examined and illustrated with case studies. Finally, the limitations of embodied experiences are considered using the efficiency framework.
DEMOTIVASI MAHASISWA FAKULTAS SENI DAN AGAMA SEMESTER KEDUA DALAM BELAJAR BAHASA INGGRIS (IAKN AMBON)

AbstractThis research is aimed to describe demotivation factors which abundant on the level of Maluku university students in learning the English language. In the methodology section, the researcher used descriptive methodology, which sample was twenty-five students on second-semester church and religion department who enrolled in the English language in the second semester. The researcher was collect the data from the accomplishment of student’s discovery learning tasks; constructed of footage data of both responses and participation to the online teaching and learning on chatting group of English language class, email database of the second-semester opinion’s in learning the English language, and also the participation in online teaching through live streaming on Facebook. In conclusion, those factors which compulsory in English language learners were influence by intrinsic motivation.Keywords: Students Demotivation, Intrinsic and Extrinsic, Learning the English LanguageAbstrakPenelitian ini bertujuan untuk mendeskripsikan faktor-faktor demotivasi yang melimpah pada mahasiswa Maluku dalam pembelajaran bahasa Inggris. Pada bagian metodologi, peneliti menggunakan metodologi deskriptif, dengan sampel sebanyak dua puluh lima mahasiswa pada semester dua jurusan gereja dan agama yang mendaftar bahasa inggris pada semester kedua. Peneliti mengumpulkan data dari penyelesaian tugas discovery learning siswa; dibangun dari data footage respon dan partisipasi dalam proses belajar mengajar online di chat group kelas bahasa Inggris, database email opini semester kedua dalam belajar bahasa Inggris, dan juga partisipasi dalam pengajaran online melalui live streaming di Facebook. Kesimpulannya, faktor-faktor wajib belajar bahasa Inggris tersebut dipengaruhi oleh motivasi intrinsik.Kata Kunci: Demotivasi Siswa, Intrinsik dan Ekstrinsik, Pembelajaran Bahasa Inggris.
A Theoretical Analysis of Multi-Modal Representation Learning with Regular Functions

Multi-modal data analysis methods often learn representations that align different modalities in a new common domain, while preserving the within-class compactness and within-modality geometry and enhancing the between-class separation. In this study, we present a theoretical performance analysis for multi-modal representation learning methods. We consider a quite general family of algorithms learning a nonlinear embedding of the data space into a new space via regular functions. We derive sufficient conditions on the properties of the embedding so that high multi-modal classification or cross-modal retrieval performance is attained. Our results show that if the Lipschitz constant of the embedding function is kept sufficiently small while increasing the between-class separation, then the probability of correct classification or retrieval approaches 1 at an exponential rate with the number of training samples.
From “old” photons to “new” photons: advancing new research in photonics and energy

The <i>Journal of Photonics for Energy</i> (JPE) covers fundamental and applied research areas focused on the applications of photonics for renewable energy harvesting, conversion, storage, distribution, monitoring, consumption, and efficient usage.
Sistem Identifikasi Biometrik Ekpresi Wajah Menggunakan Metode Transformasi Hough

The movement of the eye ball affects the condition of the pupil to dilate to become smaller or vice versa, it indicates a person's mood changes very quickly. The image of the eyeball is not necessarily in accordance with the condition of a person's heart, so it is necessary to analyze the movement of the pupil of the eye. Facial expression using the Hough Transformation Method focuses on the movement of the pupil of the eye. The Hough transform works by looking for the neighbor relationship between pixels using straight line equations to detect lines and circular equations to detect circles. Hough line transform is a technique most commonly used to detect curved objects such as lines, circles, ellipses and parabolas. The detection accuracy of the pupil is influenced by the accuracy of the extraction of the edges of the eye. If the outer circle identification is not detected, Hough Transform will be identified. The segmentation step carried out can identify the pupil circle region with a detection success of 80-85%.
Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data.

Guaranteeing the security of transactional systems is a crucial priority of all institutions that process transactions, in order to protect their businesses against cyberattacks and fraudulent attempts. Adversarial attacks are novel techniques that, other than being proven to be effective to fool image classification models, can also be applied to tabular data. Adversarial attacks aim at producing adversarial examples, in other words, slightly modified inputs that induce the Artificial Intelligence (AI) system to return incorrect outputs that are advantageous for the attacker. In this paper we illustrate a novel approach to modify and adapt state-of-the-art algorithms to imbalanced tabular data, in the context of fraud detection. Experimental results show that the proposed modifications lead to a perfect attack success rate, obtaining adversarial examples that are also less perceptible when analyzed by humans. Moreover, when applied to a real-world production system, the proposed techniques shows the possibility of posing a serious threat to the robustness of advanced AI-based fraud detection procedures.
Rancang Bangun Aplikasi Registrasi dan Inventarisasi Koleksi Museum Teknoform pada Universitas Dinamika

Museum Teknoform is one of the many technology-themed museums owned by Dinamika University. There have some problem at the Museum Teknoform that have been described. First, collection registration using manual method with Microsoft Excel, so the data cannot be accessed simultaneously because there is no centralized database and it cause storage errors when access the data. Second, the inventory of collections by the Museum Teknoform has not yet been carried out, as a result of incomplete information, such as no numbering or coding of item and no information describing the items, officers do not know for sure about the quantity and condition of the item. This is very influential in making collentions reports. Where complete information is needed to make it easier to compile reports on the development of collection owned by the Museum Teknoform. Third, there are many collections in the Museum Teknoform that do not have a catalog, which prevents the Museum Teknoform from accessing information about the collection quickly and precisely. Based on the explanation abov, Museum Teknoform needs a system that can help Museum Teknoform be able to solve the problems found in the company by designing and building a registration and inventory application of Museum Teknoform collection.
Using Behaviour-driven Requirements Engineering for Establishing and Managing Agile Product Lines

Requirements engineering in agile product line engineering refers to both common and variability components establishing a software.Although it is conventional for the requirements engineering to take place in a dedicated upfront domain analysis phase, agile-based environments denounce such a proactive behaviour.This paper provides an observational study examining a reactive incremental requirement engineering approach called behaviour-driven requirements engineering.The proposed approach uses behaviour-driven development to establish and maintain agile product lines.The findings of the study are very promising and suggest the following: the approach is easy to understand and quick to learn; the approach supports the constantly changing nature of software development; and using behaviour-driven requirements engineering produces reliable and coherent requirements.In practice, the observational study showed that using the proposed approach saved time for development team and customers, decreased costs, improved the software quality, and shortened the time-tomarket.