Reviewerly/exHarmony huggingface dataset:
The Digital Information Literacy Skill Level on College Student (Case: Final-Year College Student)

Nowadays information obtained from digital media is easily accessible through various platforms. People can get information through online simply at the touch of their finger. However, this information can only be useful if the person has sufficient skills in digital information literacy. Information literacy can be defined as a skill to access and evaluate information effectively in solving a problem or in making decisions (Verzosa, 2009). Digital information literacy skills are important for academicians, especially for final year college students.These students have to conduct a research as their final project to achieve a bachelor’s degree. In addition, many university also require this research to be published in well-known journals. To achieve these goals, these university students need good digital information literacy skills. The aim of this study is to find out the level of digital information skills of these students. The findings of this study can be useful as input for universities to improve their student’s ditigal information literacy skills in order to produce a high quality research. This study uses a descriptive quantitative approach and also use The Seven Pillars of Information Literacy which was developed by SCONUL (Standing Conference of National and University Libraries). This study shows that overall digital information literacy skills of these students are at a strong level. They can search for information using a various keywords and identify information needs according to their research topic. However, information and skills about reseacrh papers outside their own university are lacking. These students can only produce research papers based on what is listed in their university’s final research writting guidelines.
Exploring the existential/universal ambiguity in singular donkey sentences

Although widely discussed in the semantics literature, donkey sentences have beenthe subject of very little experimental study. In this paper, we present experimental work thatis aimed at addressing somewhat open questions around donkey sentences with determinersother than ‘every’ and their susceptibility to both Universal and Existential readings. Ourexperiments test donkey sentences with ‘every’, ‘no’, ‘some’ and ‘more than two’. By usingboth verification and act-out tasks, we are able to show that Universal readings are availablefor donkey sentences with existential determiners (specifically, ‘more than two’), as well asExistential readings. However, our studies fail to show that sentences with ‘no’ have aUniversal reading, and they also provide some evidence against the idea that ‘no’ sentenceshave dual readings.
Integrated CMS Website Implementation With The Codeigniter Framework

Content Management System (CMS) is a system or software in developing content. What is meant by content is all forms of digital information, in the form of image files, audio, video, text and other computer files. CMS makes it easy to create attractive website pages without having to understand how to create a website from scratch. Likewise, Lancang Kuning University has created an Integrated CMS website or integrated with faculty websites at Lancang Kuning University, by creating one database but the frontend and backend templates can be customized as desired. With this integrated website, it will make it easier for the main admin and faculty admin to maintain the website, including in its development. This website was built using the concept of Object Oriented and using a codeigniter framework.C
Observations on the bias of nonnegative mechanisms for differential privacy

We study two methods for differentially private analysis of bounded data and extend these to nonnegative queries. We first recall that for the Laplace mechanism, boundary inflated truncation (BIT) applied to nonnegative queries and truncation both lead to strictly positive bias. We then consider a generalization of BIT using translated ramp functions. We explicitly characterise the optimal function in this class for worst case bias. We show that applying any square-integrable post-processing function to a Laplace mechanism leads to a strictly positive maximal absolute bias. A corresponding result is also shown for a generalisation of truncation, which we refer to as restriction. We also briefly consider an alternative approach based on multiplicative mechanisms for positive data and show that, without additional restrictions, these mechanisms can lead to infinite bias.
Aspect Extraction Using Coreference Resolution and Unsupervised Filtering

Aspect extraction is a widely researched field of natural language processing in which aspects are identified from the text as a means for information. For example, in aspect-based sentiment analysis (ABSA), aspects need to be first identified. Previous studies have introduced various approaches to increasing accuracy, although leaving room for further improvement. In a practical situation where the examined dataset is lacking labels, to fine-tune the process a novel unsupervised approach is proposed, combining a lexical rule-based approach with coreference resolution. The model increases accuracy through the recognition and removal of coreferring aspects. Experimental evaluations are performed on two benchmark datasets, demonstrating the greater performance of our approach to extracting coherent aspects through outperforming the baseline approaches.
MISTIQS: An open-source software for performing quantum dynamics simulations on quantum computers

We present MISTIQS, a Multiplatform Software for Time-dependent Quantum Simulations. MISTIQS delivers end-to-end functionality for simulating the quantum many-body dynamics of systems governed by time-dependent Heisenberg Hamiltonians across multiple quantum computing platforms. It provides high-level programming functionality for generating intermediate representations of quantum circuits which can be translated into a variety of industry-standard representations. Furthermore, it offers a selection of circuit compilation and optimization methods and facilitates execution of the quantum circuits on currently available cloud-based quantum computing backends. MISTIQS serves as an accessible and highly flexible research and education platform, allowing a broader community of scientists and students to perform quantum many-body dynamics simulations on current quantum computers.
Unifying the Treatment of Preposition-Determiner Contractions in German Universal Dependencies Treebanks

HDT-UD, the largest German UD treebank by a large margin, as well as the German-LIT treebank, currently do not analyze preposition-determiner contractions such as zum (= zu dem, “to the”) as multi-word tokens, which is inconsistent both with UD guidelines as well as other German UD corpora (GSD and PUD). In this paper, we show that harmonizing corpora with regard to this highly frequent phenomenon using a lookup-table based approach leads to a considerable increase in automatic parsing performance.
Cross Product and Attention Based Deep Neural Collaborative Filtering

Matrix factorization and its subsequent models have been widely used in recommendation systems due to their simple and efficient performance. However, this simple and intuitive operation has its natural limitations, which limit performance improvements. The reason is that it assumes that the embedded dimensions of the user and item are independent and identically distributed (IID), and that each dimension contributes equally to the predicted score. To overcome these limitations, we propose a new deep neural network architecture CADNCF to perform ranking recommendation. The idea is to use the cross product to build a two-dimensional correlation matrix, which can not only explicitly model the pairwise correlations between the dimensions of the embedded space, but also be more expressive and semantic. We also designed an attention-mechanism learning module to extract these useful information from the correlation matrix for the final prediction and eliminate noise. Then, we adopt the MLP to learn their interactions function and make predictions. We conducted extensive experiments on three benchmark data sets, and the results show that our proposed CADNCF model is superior to some baseline methods and other sate-of-the-art methods.
Золотоджаспероидное оруденение в зоне Шартымского разлома (Южный Урал)

The Shartymskiy Graben was formed at zone of the Shartymskiy Fault in the late collision stage of development of the Southern Urals on the joint of the Western and Eastern Magnitogorsk sub-zone in conditions of variable compression and stretching, and was made with the Lower Carboniferous limestone. Occurrences of gold-bearing metasomatites (jasperoids, sericite-chlorite-carbonate-quartz, sericite-quartz) have been established in the precontact zones of carbonates, gabbro-dolerites, diorites dykes, and small intrusions of sub-alkaline leuсograniteporphirs of the Shartymskiy massif. Mediated connection with them of gold sprouts is established. The gold economic concentration of the Vorontsovskiy deposit type is expected on the certain sections of metasomatites of jasperoid association and their weathering crust.
Increasing Subjectivity and Rupture of Interdisciplinary Communication as Ways to Implement Universal Competencies

The article presents a critical approach to the worldview the universal competences of the IV Federal State Educational Standard is based on. It is shown that this approach is shaped by the content of the competencies themselves. The constant changeability of society and the awareness of the urgency call for the use of the dialectical-materialist method. Based on the realities of the educational space, which cannot currently be reformed on the basis of the dialectical-materialist method, we examine ways to use dialectical-materialist method of thinking of students to understand the relationship of universal competencies. In addition we proposed to strengthen interdisciplinary connections. The current state of the sphere of higher education allows, with certain organizational efforts, to achieve positive results.
El currículum argentino de Educación digital: un análisis de la dimensión “crítica” de las competencias digitales

In this article we analyze a corpus of documents belonging to the Digital Education curriculum launched in Argentina between years 2015 and 2019 as part of a broader reform, aimed at digital literacy and training in digital skills at school. The object of analysis of our study focuses in particular on the way in which the curricular texts conceptualize the critical dimension of digital skills. The methodology we have adopted articulates the content analysis approach with historical-anthropological educational ethnography, the latter being the theoretical-methodological framework that, in general, guides our study. As a theoretical framework, we recover the contributions made by the critical pedagogies on the competences curriculum and other developments developed by the field of educational technology and digital literacies. In the analysis, we stablish a dialogue between the curricular texts of the corpus and a series of broader technoeducational, pedagogical and cultural processes. Finally, we project an agenda of problems that is an alternative to the one dominant in the field of digital literacy.
The EOSC Association

EOSC Symposium 2020. EOSC Governance Symposium 2020, Germany. (European Open Science Cloud)(EOSC Association non-statutory director, VP Commission for Large Research Infrastructures at CSIC of Spain), 19-22 of October, 2020. -- .https://www.eoscsecretariat.eu/eosc-symposium-2020-programme - Presentacion de 19 diapositivas.
Robust Divided Differences Gaussian Mixture Non Linear Filtering Applied to INS/GNSS Integrated Navigation System with Impulsive Measurement Noise

In this paper, robust INS/GNSS is designed to solve specific problem of non linear time variant state space estimation with non Gaussian measurement noise based on parallel divided difference filtering. Non linear approximation techniques such as Extended Kalman filter EKF, Interpolation Non Linear Filters called DD1 and DD2 are computed. Great comparisons are conduced and criticized in order to confirm and compare some different robust techniques explored in literature. The most tested noise in robust control and estimation theory has been simulated and disturbed GPS+GLONASS signals. Three parallel modified algorithms are simulated and compared with robust and modified forms of the same algorithms based on Root Mean Square Error RMSE Criteria.
Publisher Correction: The development of a case-based course on global engineering ethics in China

A Publisher correction to this paper has been published: https://doi.org/10.1007/s40889-020-00118-8
Feedback-Control Based Adversarial Attacks on Recurrent Neural Networks

Crafting adversarial inputs for attacks on neural networks and robustification against such attacks have continued to be a topic of keen interest in the machine learning community. Yet, the vast majority of work in current literature is only empirical in nature. We present a novel viewpoint on adversarial attacks on recurrent neural networks (RNNs) through the lens of dynamical systems theory. In particular, we show how control theory-based analysis tools can be leveraged to compute these adversarial input disturbances, and obtain bounds on how they impact the neural network performance. The disturbances are computed dynamically at each time-step by taking advantage of the recurrent architecture of RNNs, thus making them more efficient compared to prior work, as well as amenable to `real-time' attacks. Finally, the theoretical results are supported by some illustrative examples.
Discussion on Decimal Network Based on IPV9

Abstract This paper introduces the core technology of decimal network digital domain name and IPV9 protocol family, and analyzes the technical characteristics of decimal network. Three kinds of common network transition techniques are listed, and various problems of decimal network application are discussed.
IMPROVING THE EFFICIENCY OF THE CONVOLUTIONAL NEURAL NETWORK USING THE METHOD OF INCREASING THE RECEPTIVE FIELD

In many pattern recognition problems solved using convolutional neural networks (CNN), one of the important characteristics of network architecture is the size of the convolution kernel, since it coincides with the size of the maximum element that can act as a recognition sign. However, increasing the size of the convolution kernel greatly increases the number of tunable network parameters. The method of effective receptive field was first applied on AlexNet in 2012. The practical application of the method of increasing the effective receptive field without increasing convolution kernel size is discussed in this article. A presented example of a small network designed to recognize a fire in apicture demonstrates the use of an effective receptive field which consists of a stack of smaller convolutions. Comparison of a original network with a large convolution core and a modified network with a stack of smaller cores shows that, with equal network characteristics, such as prediction accuracy, prediction time, the number of parameters in the network with an effective receptive field, the number of tunable parameters is significantly reduced.
A comparative study on the early childhood education of the reggio emilia approach and waldof education : focusing on implications for educational innovation

본 연구는 레지오(Reggio Emilia)와 발도르프(Waldorf) 유아교육이 지닌 교육 혁신적 특성과 시사점을 탐색하는 것을 목적으로 한다. 연구방법은 관련 문헌을 분석하는 문헌연구를 사용하여, 레지오와 발도르프 유아교육이 갖는 교육 혁신적 시사점을 탐색하였다. 연구결과는 다음과 같다. 첫째, 두 유아교육은 모두 유아 존재를 유아교육의 출발점이자 목적으로 강조한다. 둘째, 두 유아교육은 이성 중심 주체, 완비된 실체로서 개별 주체라는 근대적 주체 개념 대신, 대안적 주체로서의 유아관을 보여줌으로써, 근대교육의 한계를 극복할 가능성을 시사한다. 셋째, 두 유아교육은 지식의 전달과 수용이 아닌 새로움의 창발을 강조하면서 창의적 교육을 지향한다. 넷째, 두 유아교육은 교사-유아 간 관계의 중요성과 교사의 지속적인 성장의 중요성을 강조한다. 마지막으로 레지오와 발도르프 유아교육은 모두 교육(학)에서의 이론과 실천의 이분법이라는 오래된 난제를 극복할 가능성을 보여준다.The purpose of this study was to explore the educational innovative characteristics and implications of early childhood education in Reggio Emilia approach and Waldorf education. In particular, the reason for paying attention to both educations was that both of the two suggested the possibility of overcoming the limitations of modern education. The research method was a literature review to analyze the related literatures. The research results were as follows. First, both of the two early childhood educational approach emphasized the children themselves as the starting point and purpose of education. This is in line with the ‘child-centered innovation plan advocated in the「2019 National Nuri curriculum」. Second, the two education suggested the possibility of overcoming the limitations of modern education by showing child as an alternative subject. Reggio Emilia approach regarded child as a changeable subject which is open to a continuous mutual process with meaningful others, and Waldorf education considered a child as a integrated existence of body, soul, and spirit. Third, the two education aimed for creative education, emphasizing the emergence of novelty, not the transfer and acceptance of knowledge. Fourth, the two education emphasized the importance of the relationship between teacher and child and the importance of continuous growth of teachers. Finally, Reggio and Waldorf early childhood education showed the possibility of overcoming the old difficulty of the dichotomy of theory and practice in education.
The Response of Chinese Language Students Readers to Huo Zhe (活着) Novel by Yu Hua: Literary Reception Study

This study discussed the responses of readers from Chinese language students at the University of Sumatera Utara towards Yu Hua's novel Huo Zhe (活着). This study aimed to determine the responses given by students to Huo Zhe (活着) novel by Yu Hua. The theory used was literary reception theory which focused on exploring various judgments, responses and impressions hence a literary work can be accepted by its presence in society. The methodology used was a qualitative descriptive method. The research informants were 35 students majoring in the Chinese Language in semesters 6th and 8th who had taken a concentration in literature. Informants will be asked to read Yu Hua's novel Huo Zhe (活着) and provide their responses through questionnaires. The results of this study indicated that the Huo Zhe (活着) novel fulfilled all the evaluation criteria for novelty, impact and design as proposed by Segers. Thus, from the three evaluations, it can be concluded that the reading informants from the 6th and 8th semester students of Chinese Language accept the presence of the Huo Zhe (活着) novel as good and positive reading material.
Reflecting Pool Podcast: Transnational Crime and Malicious AI [audio]

Artificial intelligence; Computer crimes; Criminal behavior, Prediction of; Transnational crime
WARP: Word-level Adversarial ReProgramming

Transfer learning from pretrained language models recently became the dominant approach for solving many NLP tasks. A common approach to transfer learning for multiple tasks that maximize parameter sharing trains one or more task-specific layers on top of the language model. In this paper, we present an alternative approach based on adversarial reprogramming, which extends earlier work on automatic prompt generation. Adversarial reprogramming attempts to learn task-specific word embeddings that, when concatenated to the input text, instruct the language model to solve the specified task. Using up to 25K trainable parameters per task, this approach outperforms all existing methods with up to 25M trainable parameters on the public leaderboard of the GLUE benchmark. Our method, initialized with task-specific human-readable prompts, also works in a few-shot setting, outperforming GPT-3 on two SuperGLUE tasks with just 32 training samples.
A importância da adesão ao tratamento e o letramento em saúde: uma revisão de literatura / The importance of adherence to treatment and health lettering: a literature review

Health literacy is a concept that permeates the individual's various interactions with health services, one of the most important of which is treatment adherence.This literature review seeks to confirm the positive relationship between these two variables, to identify and discuss factors that mediate this relationship.The review was conducted with 31 articles from the PubMED database and it was concluded that there is a positive relationship between health literacy and treatment adherence.Numbering concepts, self-efficacy, treatment complexity and digital patient access were also discussed.
Los espacios bibliotecarios en los planes estratégicos de bibliotecas universitarias españolas

Objective: The strategic plans of Spanish university libraries are studied with the main objective of analyzing the references to the library spaces.Design/Methodology/Approach: The study sample is composed of libraries of the 47 Spanish public universities. Strategic plans available for public consultation (28 plans) are gathered. Content analysis is performed to know its structure and, above all, find references to spaces.Results/Discussion: Out of the 28 plans, the following are analyzed: chronological coverage, name of the plans, structure, etc. The plans with mentions to the spaces are 24. A list including the space typology is established and, above all, how the new trends of library spaces are reflected is specified.Conclusions: The actions related to the spaces are a priority in the libraries analyzed (present in 85.7% of plans). From the spaces that libraries see necessary to incorporate, the following stand out: group work; multifunctional or versatile; collaborative work, and social interaction. It is verified that in the analyzed libraries there is a purpose to adapt to the trends of the 21st century: to adopt spaces in support of the new modes of teaching-learning; and to adopt spaces that facilitate interrelation and coexistence.Originality/Value: The study of library spaces today is a way of learning about the transformation and innovation that libraries are undergoing. In this paper, a study of spaces of Spanish university libraries through the strategic plans is performed for the first time.
Optimization of Facade based Building Integration Photovoltaic Module Installation

Facade based building integrated Photovoltaic (BIPV) will form an integral part of the development of buildings with the aim of zero net-energy. Recent advancements and incentives have made the facade based BIPV a viable option in most of the European Union, Japan, and China. To maximize the yield of the BIPV, the BIPV module's position on the facade becomes critical because it affects electricity generation as well as influences the indoor comfort i.e. day-lighting and thermal gain. Placement of the BIPV is influenced by the surrounding obstacles and the building aesthetics. In this study, the placement of the BIPV modules is optimized for a given facade potential by framing an optimization problem. The objective is to maximize the yield of the BIPV module within the available facade area. The optimization problem is framed for a given facade area, radiation profile, and for two different module sizes.