Reviewerly/exHarmony huggingface dataset:
Why should we care about FAIR?

For a long while, Open Access to publications was the key focus of the Open Science agenda, but suddenly, everyone is talking about data and other research outputs. What are these? Why should we pay attention to them? What’s the difference between FAIR data and Open data, and why should scholars care about any of this? These are the kinds of questions that have been floating around as funders like the European Commission start to mandate the sharing of data, software, and other outputs that support publications. And while the drive towards FAIR sharing is meant to be applied across all research domains and disciplines, the discussion often focuses on ‘big data’ or data from the natural sciences, collected in laboratories or processed on high performance super computers. Where does this leave humanities scholars? What kinds of data and other research outputs are created here? What considerations are particular to the humanities?&#x0D; In February 2020, after an open consultation process that received over 200 comments plus a number of multi-page submissions, ALLEA published “Sustainable and FAIR Data Sharing in the Humanities: Recommendations of the ALLEA E-Humanities Working Group. https://doi.org/10.7486/DRI.tq582c863. The report is structured around the research data lifecycle, providing concrete recommendations for sustainable FAIR sharing. This talk will highlight some of the key challenges faced by humanities scholars in this realm, look to where alliances can be built outside of academia, and dive into the dissemination possibilities that are created through the FAIR sharing of humanities research data.
Roughness in $G$-graphs

G-graphs are a type of graphs associated to groups, which were proposed by A. Bretto and A. Faisant (2005).In this paper, we first give some theorems regarding G-graphs.Then we introduce the notion of rough G-graphs and investigate some important properties of these graphs.
MENINGKATKAN PRESTASI BELAJAR SISWA SMA PADA MATERI GELOMBANG BUNYI MENGGUNAKAN STRATEGI MULTIPLE INTELLIGENCES

A person has compound intelligence is the foundation for improving cognitive, affective and psychomotor learning achievements. Individually, the multiple intelligences that a person has are more than one or heterogeneous, so that abilities may be developed with some compound intelligence. The method of study used is descriptive research that is intended to give a description of symptoms, events and actual circumstances, in this case would clearly depict a student has description of sound wave material using a compound wave method. Before student obtain treatment of sound wave material using a compound intelligence strategy, the student mastery level was still very low, but when given the treatment with the compound intelligence strategy the student mastery level experienced improvement.
Psychological Features Of Professional Motivation Development In Young Professionals

The article reveals psychological characteristics of the development of professional motivation in young professionals.The components of professional motivation were substantiated.They contribute to the development of their readiness for successful professional activities.The main directions and psychological conditions required for the development of sustainable positive professional motivation in young professionals were determined.The structure of the program for the development of professional motivation in young specialists was analyzed.Experimental data that reveal the effectiveness of the development of professional motivation in young specialists in the process of targeted psychological impact are presented.A significant increase in the desire for success indicator was identified in young professionals who have taken the motivation development course; a significant increase in the group recognition and respect indicator, in the orientation indicator was identified as well.A significant decrease in the "remuneration" indicator was identified.A significant increase in the "relationship" indicator reflecting the increasing importance of relationships as an internal motivating factor for young employees was identified.Thus, according to the results of the study, an increase in the internal motivation of respondents and an increase in the role of intangible motivating factors of their professional activities as the main psychological condition for the development of professional motivation in young specialists were identified.
University Library Under The Impact Of Social And Cultural Transformations

The relevance of the topic is determined by the need to comprehend various aspects of the activities of the university library in the context of global computerization.The article deals with university libraries functioning in the context of social and cultural transformations in the epoch of Industry 4.0.It analyzes the impact of university libraries on self-actualization and self-determination of the student's personality.It reveals the concept of "self-development of professional competencies" as a process of focusing systematic, conscious actions of students on themselves.The research problem is connected with university libraries functioning and their support for professional self-development of the student's personality in the context of modern globalism.The research tasks were solved on the basis of analyzing scientific literature, reporting documents and the experience of university libraries.The observation methods as well as the methods of questioning and interviewing were used.The article gives a short survey of the history and evolution of the university libraries in the Chuvash Republic.The study showed their skills to independently search for literature in electronic catalogues and electronic databases.The popularity and importance of university libraries for education and science have been known since ancient times, but in the epoch of globalization and social, cultural and technological transformations, which have brought about Industry 4.0, they are evolving into a new type of scientific and educational platform providing students with access to electronic databases and electronic resources.
REFERENCE POINTS METHOD FOR HUMAN HEAD MOVEMENTS TRACKING

Context. The direction of the human face vector is an indicator of human attention. It has many applications in our daily lives, such as human-computer interaction, teleconferencing, virtual reality and 3D sound rendering. Moreover, determining the position of the head can be used to compare the exercises performed by a person with a certain standard, which brings us to investigation of ways to efficiently track moves. Depth-camera based systems, frequently used for these purposes, have significant drawbacks such as accuracy decreasing on the direct sunlight and necessity of additional equipment. The recognition from the two-dimensional image becomes more widespread and eliminates difficulties related to depth cameras which allows them to be used indoors and outdoors. Objective. The purpose of this work is creation of the method that will allow us to track human head moves and record only significant vectors of head direction.Methods. This paper suggests reference points method that decreases set of recorded vectors to minimal amount significant to describe head moves. It also investigates and compares existing methods for determining the vector of the face in terms of use in suggested approach. Results. Suggested reference points method shows ability to highly decrease set of head direction vectors that describe the move. According to the results of the study, regression-based methods showed significantly better accuracy and independence from light and partial face closure so they were chosen to be used as methods to get head direction vector in reference points approach.Conclusions. Research confirmed applicability of reference points method for human movements tracking and shown that methods of determining human head vector by two-dimensional image can compete in accuracy with RGBD-based methods. Thus combined with suggested approach these methods expose less restrictions in use than RGBD-based ones.
Discovery of Human Emotion using Fuzzy based Cognitive Model

The emotion of a human could be identified using Speech, Image and Question and answer session. Also, the emotion in speech is identified using the pitch and intensity. The emotion identification with image is done using Support Vector Machine. The present chapter envisages into an intelligent system, which is designed to understand human emotions more precisely speech emotion identification and intends to generate actions via cognitive system. It has mainly focused on developing an online incremental learning system of human emotions using Takagi-Sugeno (TS) Fuzzy model. The main objective of this system is to detect whether the observed emotion needs a new corresponding multi-model action to be generated or it can be attributed to one of the existing actions in memory. The multi-model consists of voice input, facial expression. The combined results have been classified using TS Fuzzy Model.
PENERAPAN METODE STAD DAN JIGSAW DALAM UPAYA PENINGKATAN PENCAPAIAN HASIL BELAJAR MAHASISWA DENGAN MEMANFAATKAN MEDIA PEMBELAJARAN INTERAKTIF.

The purpose of this study is to find out the influence between the use of the cooperative learning model of the JIGSAW and STAD . This study uses a quantitative method with an experimental approach. The population in this study were students majoring in computer science in the class of language theory and automata, and artificial intelligence. The sampling technique used random sampling techniques. In this study, the research samples were students majoring in computer science. Each class consisted of 33 students selected for the comparative experiment which were two classes. Testing is carried out using a one-way variant (one way Anova). The results of hypothesis testing showed the two data groups had the same variants between the STAD and JIGSAW learning models, with the value of Fcount of 0.5928 and Ftable of 1.79. It was found that Ftable&gt; α, namely 1.79&gt; 0.05, while Fcount&gt; α, namely 0.5928&gt; 0.05. By testing F, for the testing criteria, the value of Fcount &lt; Ftable, (0.5928 &lt;1.79) is obtained, then the accepted hypothesis is H0, meaning that the two data groups have the same variants. So it can be concluded that the application of the STAD and JIGSAW models has an effect on the achievement of student learning outcomes.&#x0D; Keywords: The Jigsaw Learning Model, Stad, Poetry Learning Results
Outdoor Education and Assertive Attitude

This research examined the impact of outdoor education on student assertive attitude in Laboratorium Percontohan UPI Elementary School, Tasikmalaya Campus, Indonesia. The problem gained by the researcher in the learning process was the negative behavior that the researcher aimed to study. The samples of the study were 32 students chosen through a purposive sampling technique. The experimental method was used in this study. The data were obtained through an Assertive Scale questionnaire. The researcher conducted an initial study with the result 0,662. The final score of the research was 0,504, showing that Outdoor Education had a significant impact on assertive attitude development. This finding shows that outdoor education can be an alternative for the teachers of Physical Education at elementary schools to implement moral and ethics learning as well as a learning variation. The further research is suggested to conduct a research related to other affective aspects, such as emotion and empathy. The outdoor education indirectly gives impacts on the student attitude and acts as a self-reminder.
LEXICAL TRANSFER IN INDONESIAN LANGUAGE ACQUISITION AS THE THIRD LANGUAGE (TRANSFER LEKSIKAL DALAM PEMEROLEHAN BAHASA INDONESIA SEBAGAI BAHASA KETIGA)

Cross-language influence in third language acquisition (TLA) relates to the influence of the first (L1) and second (L2) language on the third language acquisition (L3).This study focuses on the lexical transfers that occur in the acquisition of the Indonesian language as L3.The lexical transfer consists of (1) lexical transfers non-adapted; (2) lexical transfer adapted; and (3) semantic lexical transfers.The subject of this study were BIPA students.The Source of data in this research is the conversation between the researcher and the subject of research and production of the sentence by picture by research subject.Results of the study are lexical transfer non-adapted occurs in lexical transfers into L1 and L2.lexical transfers adapted are made by reconciling my form in English with basic words in the Indonesian language; -nya form in the Indonesian language with the basic form in L1/L2; me-and di-form in the Indonesian language paired with the basic form in L1/L2; and the use of a phrase consisting of a combination of words in Indonesian and L1/L2.Semantic lexical transfers are made by the Indonesian language as L3 by using their forms that are inconsistent with their meaning and using word choices that are inconsistent with the context.This study can provide benefits to Indonesian language teachers for foreign speakers (BIPA) in determining learning strategies that are following the language history of BIPA students.Besides, this research is also useful for researchers or academics who study multilingualism in determining the role of the first and second language in third language acquisition.
Development: Crossing the Bridge Pondering Socio-Economic and Techno-Science

Applied science, society needs and economy development are three main pillars of the technology progress nowadays. As they are quite independent of each other they have their own path for advancing. Nevertheless, science, society and economy should bring the world in the Future together. It is stated that there is a strong need for pondering these advancing sciences, because they affect one another and so they may increase their effectiveness. Several techno-science empirical observations seem to support the hypothesis that interaction and reciprocal influence is necessary with social and economic sciences.
ON THE CAYLEY GRAPHS OF BOOLEAN FUNCTIONS

A Boolean function is a function $f:\Bbb{Z}_n^2 \rightarrow \{0,1\}$ and we denote the set of all $n$-variable Boolean functions by $BF_n$. For $f\in BF_n$ the vector $[{\rm W}_f(a_0),\ldots,{\rm W}_f(a_{2n-1})]$ is called the Walsh spectrum of $f$, where ${\rm W}_f(a)= \sum_{x\in V} (-1)^{f(x) \oplus ax}$, where $V_n$ is the vector space of dimension $n$ over the two-element field $F_2$. In this paper, we shall consider the Cayley graph $\Gamma_f$ associated with a Boolean function $f$. We shall also find a complete characterization of the bent Boolean functions of order $16$ and determine the spectrum of related Cayley graphs.In addition, we shall enumerate all orbits of the action of automorphism group on the set $BF_n$.
Pengembangan Desain Produk Tas Kuliah Yang Efisien Bagi Mahasiswa Desain Di Stikom Surabaya

One of the facilities that are needed in the world of lectures is a bag, because the bag is used by students to store goods or to carry equipment and student needs. various types and models of bags on the market that can be an option for students. But the bag model that is most popular with students is the backpack model. Because the backpack model college backpack can store all the needs and equipment for college. For college study program design students who have to be brought in very many and varied, including drawing books, drawing paper (A3) drawing tools, stationery, laptops, lecture books. So it is not uncommon for students to carry 2 bags namely college bags and picture pipe bags. This causes inefficiency for students in carrying bags. Therefore arises the idea of the writer to design an efficient college bag design for design students at Stikom Surabaya. So the concept of this design is to streamline the college bag that can carry all the equipment and lecture needs for design study students.
The Development of Interactive Media Based on Video Animation in the Use of a Total Station for Measurement Stake out the Building

This study aims to: (1) develop the concept of instructional media based on total station animation video which is used to measure building stake out; (2) developing interactive media designs; (3) due diligence of interactive media; and (4) dissemination of interactive media. This research is a research and development which refers to the 4D model. Non-test instruments with four-scale answer choices were used. The questionnaire was used in the expert validation process and the student's feasibility assessment. Data were analyzed quantitatively. The results of this research and development of instructional media conclude: (1) the concept of instructional media based on video animation of the total station is used to measure building stake out; (2) the initial media design consists of five main menus; (3) based on the assessment of instructional media by material experts it is categorized as "very feasible" with a percentage of 85.278% for the five aspects assessed; based on the evaluation of media experts, it is categorized as "very feasible" with a percentage of 90.409% for the three aspects assessed; and based on users (students) the percentage is 81.306% with the category "very feasible"; (4) dissemination using two methods: offline and online.
Exceptions to Copyright for Scientific and Educational Purposes

In this paper, it was tried to consider the current state of normative support for the development of strategic planning documents in the field of Russian education. The strategy for the development of education (DoE), as an industry document of strategic planning, has not been adopted in the Russian Federation (RF) to date. The article attempts to generalize the developments in this area, considers several international documents and projects of strategies for the development of Russian education (DRE), national strategies focused on them. The analysis of regional strategy for the DoE, which is either component of strategies for socioeconomic development of the region, or separate concepts that are focused on municipal development strategies. Due to the lack of a strategic document at the Federal level, regional development concepts are mostly aimed at solving regional problems in the field of education, at a process approach, and, in fact, are not focused on solving breakthrough problems and taking into account all-Russian and global challenges. It is concluded that the Russian educational system cannot develop effectively in the course of planning only national projects that have their own time horizon; to solve this problem, a strategy for the DRE space is necessary, which can provide guidelines for the development of each educational organization.
IMPROVED VOICE-BASED BIOMETRICS USING MULTI-CHANNEL TRANSFER LEARNING

Identifying the speaker has become more of an imperative thing to do in the modern age. Especially since most personal and professional appliances rely on voice commands or speech in general terms to operate. These systems need to discern the identity of the speaker rather than just the words that have been said to be both smart and safe. Especially if we consider the numerous advanced methods that have been developed to generate fake speech segments. The objective of this paper is to improve upon the existing voice-based biometrics to keep up with these synthesizers. The proposed method focuses on defining a novel and more speaker adapted features by implying artificial neural networks and transfer learning. The approach uses pre-trained networks to define a mapping from two complementary acoustic features to a speaker adapted phonetic features. The complementary acoustics features are paired to provide both information about how the speech segments are perceived (type 1 feature) and produced (type 2 feature). The approach was evaluated using both a small and large closed-speaker data set. Primary results are encouraging and confirm the usefulness of such an approach to extract speaker adapted features whether for classical machine learning algorithms or advanced neural structures such as LSTM or CNN.
Machine Learning to Predict Mortality and Critical Events in COVID-19 Positive New York City Patients: A Cohort Study

BACKGROUND: Coronavirus disease 2019 (COVID-19) has infected millions of patients worldwide and has been responsible for several hundred thousand fatalities This has necessitated thoughtful resource allocation and early identification of high-risk patients However, effective methods for achieving this are lacking OBJECTIVE: We analyze Electronic Health Records from COVID-19 positive hospitalized patients admitted to the Mount Sinai Health System in New York City (NYC) We present machine learning models for making predictions about the hospital course over clinically meaningful time horizons based on patient characteristics at admission We assess performance of these models at multiple hospitals and time points METHODS: We utilized XGBoost and baseline comparator models, for predicting in-hospital mortality and critical events at time windows of 3, 5, 7 and 10 days from admission Our study population included harmonized electronic health record (EHR) data from five hospitals in NYC for 4,098 COVID-19+ patients admitted from March 15, 2020 to May 22, 2020 Models were first trained on patients from a single hospital (N=1514) before or on May 1, externally validated on patients from four other hospitals (N=2201) before or on May 1, and prospectively validated on all patients after May 1 (N=383) Finally, we establish model interpretability to identify and rank variables that drive model predictions RESULTS: On cross-validation, the XGBoost classifier outperformed baseline models, with area under the receiver operating characteristic curve (AUC-ROC) for mortality at 0 89 at 3 days, 0 85 at 5 and 7 days, and 0 84 at 10 days;XGBoost also performed well for critical event prediction with AUC-ROC of 0 80 at 3 days, 0 79 at 5 days, 0 80 at 7 days, and 0 81 at 10 days In external validation, XGBoost achieved an AUC-ROC of 0 88 at 3 days, 0 86 at 5 days, 0 86 at 7 days, and 0 84 at 10 days for mortality prediction Similarly, XGBoost achieved an AUC-ROC of 0 78 at 3 days, 0 79 at 5 days, 0 80 at 7 days, and 0 81 at 10 days Trends in performance on prospective validation sets were similar At 7 days, acute kidney injury on admission, elevated LDH, tachypnea, and hyperglycemia were the strongest drivers of critical event prediction, while higher age, anion gap, and C-reactive protein were the strongest drivers for mortality prediction CONCLUSIONS: We trained and validated (both externally and prospectively) machine-learning models for mortality and critical events at different time horizons These models identify at-risk patients, as well as uncover underlying relationships predicting outcomes
PENGARUH PENGGUNAAN TEKNIK COGNITIVE MODELLING TERHADAP KEMAMPUAN BERBICARA ANAK DIDIK GUGUS PAUD 8 KECAMATAN GADANG KOTA MALANG

&#x0D; &#x0D; &#x0D; &#x0D; Speaking is an ability to produce articulation sounds to express or to tell ideas, thought, and feeling. In a case of children speech disorder, it is a complicated problem faced by the children and their parents. The aim of this research is to study effect of the use of Cognitive Modelling Technique to children speaking ability of Early Childhood Education Group 8 in Gadang Sub-District Malang. The research method of this study is Quasi Experimental Design by using Pre-test pattern and Post-test Group. The used of Cognitive Modelling Technique is effective to improve children speaking ability of Early Childhood Education Group 8 in Gadang Sub- District Malang. It is based on hypothesis test result which shows probability below 0.05 (0.0025 &lt;0.05), the result means that Ho is rejected&#x0D; &#x0D; &#x0D; &#x0D;