Reviewerly/exHarmony huggingface dataset:
Overview Of Public Funding, Number Of Enrolled Students And Graduates In Higher Education In Slovenia

We focus on analysing public funding of higher education, focusing on direct expenditure on higher education institutions, and on trends and numbers of enrolled full-time students as well as full-time graduates. The aim of the paper is to give an overview of the current funding numbers and provide insight on the funding indicators in the post crisis period in Slovenia. We used publicly available data from the website of Ministry of Education, Science and Sport on higher education funding in the period 2010-2018. Our analysis reveals that public funding of higher education institutions on study activities has finally reached the amount spend in the pre-crisis period and is slowly rising. Student enrolments are still dropping while the numbers of higher education graduates are slowly increasing, with an exception in 2016 when the graduation from pre-Bologna study programmes was still possible.
VISUALIZATION AND ITS ROLE IN TEACHING MATHEMATICS AS ONE OFTHE MOST RELEVANT AREAS IN MODERN EDUCATION

This article discusses some aspects of the problem of developing visualization abilities as one of the most relevant ways to present information and effective technologies for activating cognitive activity in training. The article analyzes the main reasonswhy this type of activity in teaching mathematics is the most popular in modern education
Design Methodology System Models of Workflows Using Subject-Oriented Metalanguages

Introduction. Currently, the organization of industrial enterprises digital production that produce complex science-intensive products is complicated by the differently of semantic data, the discrepancy of software systems, and requires a uniform integrated data management platform. Aim. The purpose of the article is to consider a systematic approach to the formation of a metaarchitecture of an information platform for the researched problem area with contradictory relations (a priori undetermined). Materials and methods. It is necessary to apply and to form certain sequence application of system modeling metalanguages, high-level programming according to the hierarchy rules of Chomsky’s generating languages and semantic logic (ontology) of the researched problem area. That provides a consistent reduction of the semantic properties of the problem area in their syntactic representations. It is proposed to use mathematical methods, system engineering methods, and Teamcenter PLM software for system modeling of approving design and technological documentation business process to CALS methodology. Results. The paper proposes a conceptual approach for the construction and development of a subject – oriented meta-architecture of the digital platform UIS. It is shown that to exclude existing contradictions in the problem area, it is necessary to design direct and reverse “workflows” models in the digital document management system. The results of the existing CASE methodology analysis for effective integration with the Teamcenter PLM system are presented. Conclusion. The system modeling proposed methodology extends the application of the metaarchitecture of the digital model UIS and allows evaluating of the software effectiveness.
Innovative Forms and Methods of Teaching Giften Children in a Geneal Education School

The article discusses the features of teaching gifted children at secondary school. The article reveals the forms and methods of teaching gifted children.
Explaining The Behavior Of Black-Box Prediction Algorithms With Causal Learning.

We propose to explain the behavior of black-box prediction methods (e.g., deep neural networks trained on image pixel data) using causal graphical models. Specifically, we explore learning the structure of a causal graph where the nodes represent prediction outcomes along with a set of macro-level features, while allowing for arbitrary unmeasured confounding among these variables. The resulting graph may indicate which of the interpretable features, if any, are possible causes of the prediction outcome and which may be merely associated with prediction outcomes due to confounding. The approach is motivated by a counterfactual theory of causal explanation wherein good explanations point to factors which are difference-makers in an interventionist sense. The resulting analysis may be useful in algorithm auditing and evaluation, by identifying features which make a causal difference to the algorithm's output.
Physicochemical and Mineralogical Characterization of the Mediterranean Soils of Triffa Plain (Northeast of Morocco) by the Physicochemical Analysis, X-ray Diffraction and Vis-NIR Spectroscopy

The soils of the Mediterranean regions, characterized by summer aridity and the strong presence of limestone rocks, are dominated by the presence of calcium or even limestone. The soils of the Triffa plain, located in the north-eastern part of Morocco, is a perfect example of the Mediterranean soils. This plain represents one of the most fertile agricultural zones in the north-eastern of Morocco, where all cultivated lands are, dominated by high added values irrigated crops such as Citrus and vegetables. The knowledge of soil characteristics is an important task to better manage these crops. In this context, the main objectives of this study are twofold: 1) to determine the physicochemical proprieties of Triffa plain and their mineralogy using the X-ray diffraction and physicochemical laboratory analysis, and 2). to understand the information provided by the VIS-NIR spectroscopy as it relates to soil mineralogy. To reach these objectives, one hundred eighty-one soil samples were collected from the topsoil horizon (0-30cm) in the study area in 2018. These samples were then analyzed for texture, Organic Matter (OM), Calcium Carbonates (CaCO3), pH, electrical conductivity and potassium. The X-ray diffraction and VIS-NIR spectroscopy were used to determine the soil mineralogy. The results of the physicochemical analysis showed that the soils of the study area are generally belonged to the slightly to moderately calcareous soil classes in term of CaCO3 and are generally basic in term of pH. Concerning the soil organic matter (OM), the study area is characterized by low to medium values of OM content. The soil texture of Triffa plain is dominated by a silt-loam texture. The results of X-ray patterns indicate the dominance of the kaolinite, illite, vermiculite and chlorite, while the mineralogical associations are formed by complex mixtures of carbonates, gypsum, quartz, feldspars and goethite in variable proportions depending on the soil types. Mineralogical diagnostic of VIS-NIR spectroscopy data showed that the absorption bands centered on long waves of 450, 850, 1450, 1950, and 2200 nm are the best bands to be used to study soil mineralogy.
Abhimanyu (Abhi) Patil

Abhimanyu Patil died on March 27 in Westfield, New Jersey. “Over his 32 years at ExxonMobil, Abhi was awarded 110 US patents, organized 5 ACS symposia, coedited 2 books, was named a fellow by both the ACS Division of Polymer Chemistry and the ACS Division of Polymeric Materials: Science and Engineering. He spoke at the Smithsonian about innovation. He loved what he did and even worked on two patent memos hours before he went to the hospital. From Paris to Cape Town, he explored the world one bite and step at a time. As an avid practitioner of vipassana meditation for 20 years, Abhi cared deeply about the power of the mind. We’ll miss our brilliant, inspirational, funny, and loving dad and husband.”—Anjali Patil, wife Most recent title: Senior scientific associate, ExxonMobil Research & Engineering Education: BS, chemistry, 1975, MS, organic chemistry, 1977, Pune University; PhD, polymer/organic chemistry, Indian Institute
Artificial Intelligence for Content and Context Metadata Retrieval in Photographs and Image Groups

In the age of the WWW consistent efforts have been made to make information from the archives available for the general public to facilitate access to the wealth of documentary history for research, consultation or education purposes. Linked Open Data (LOD)[1] provide a well suited framework to expose archival content to the general public while enriching it with content from other sources. This paper describes the creation of the first of its kind linked open data prototype to access data from the Historical Archive of the European Commission (HAS), carried out within ISA 2 programme of the European Commission [2]. We present the designed ontology based on ISAD(G)[3], ISAAR(CPF)[4] and RIC-CM [5] models and the business processes of HAS, and the created knowledge base from a sample of HAS data, re-using authority lists from the Publication Office [6] and EuroVoc [7] and allowing querying via SPARQL endpoint [8].
Recommender System for Quality Educational Resources

Current educational recommender systems (RS) represent an essential support tool and the most used system to interpret patterns and human interaction, which supports deeper learning and provides users with fast and accurate data. In an e-learning environment supported by RS, the learner often needs additional educational resources to enrich his learning scenario to meet his needs and deepen his knowledge and skills. So he spends a lot of time identifying his need, selecting the most convenient data sources and finding the appropriate resources to the current content of his activity. However, in the era of Big Data, apart from the services offered by RS and other data filtering tools, data sources are currently experiencing a significant evolution in terms of volume and variety of available resources. Given the importance of these data, the quality of the recommended content is decreasing significantly, which implies poor knowledge and a failed learning experience. To enhance the quality of student’s learning, we propose an approach of recommending quality educational resources, in accordance to the learner’s learning progress and his individual needs. The quality assessment module is integrated into the recommendation process to judge the level of quality of the resources. To help the quality assessment module make a better decision and improve analytics, we used artificial intelligence technique, Fuzzy Logic to simulate the human reasoning process and aid to deal with the uncertain data in engineering.
Features and Complications of Developing Websites for Further Vocational Training Educational Centres

The difficulties of conquering the market for educational services and the need to attract customers in the field of adult education makes it necessary to think through methods of promoting information using websites. The content and navigation of school websites, their popularity, importance, novelty become, in the modern world, one of the main topics in the field of education. In this article, the features of developing a website for further vocational training educational centres have been considered.
COVID-19 Apps: A Comprehensive Analysis of the Use of Mobile Phone Applications in the Fight Against the COVID-19 Pandemic

Coronaviruses; Emerging infectious diseases; Infectious disease; Communicable diseases; Disinformation; Mobile apps; COVID-19 (Disease)
The effects of director's curriculum support on respecting children's rights practices mediated by teacher efficacy

연구목적: 본 연구는 원장의 보육과정 지원행동이 교사효능감을 매개로 보육교사의 영유아권리존중 보육실행에 미치는 영향을 분석하는 것을 목적으로 하였다. 방법: 수도권 어린이집에 재직 중인 보육교사 416명에게 수집된 자료를 SPSS 25.0을 이용하여 기술통계, 신뢰도 계수, Person상관분석(편상관)을 실시하고 AMOS 21.0을 이용하여 연구 모형의 검증과 구조모형의 적합도를 평가하였다. 독립변인인 원장의 보육과정지원행동이 교사효능감을 매개로 종속변인인 영유아권리존중 보육실행에 미치는 직접효과, 간접효과 및 총 효과를 분석하였으며, 부트스트래핑(Boot-strapping) 방법을 사용하여유의성을 검증하였다. 결과: 원장의 보육과정 지원행동은 교사효능감과 영유아권리존중 보육실행에, 교사효능감은 보육교사의 영유아권리존중 보육실행에 유의한 영향을 미치는 것으로 나타났다. 원장의 보육과정 지원행동이 영유아권리존중 보육실행에 미치는 영향에 대한 교사효능감의 매개효과를 검증한 결과 직접효과와 간접효과가 모두 있는 것으로 나타났다. 결론: 어린이집 원장의 보육과정 지원행동은 교사효능감을 매개로 보육교사의 영유아권리존중 보육실행에 직, 간접적인 영향을 미치는 것으로 나타났다. 본 연구의 결과는 교사의 보육과정 운영에 대한 지원 및 모니터링, 교사역량 증진을 위한 교육지원 등 원장의전문적이고 체계적인 보육과정 지원행동이 보육교사의 영유아권리존중 보육실행에 영향을 미치므로, 원장의 보육과정 지원행동을 강화시키기 위한 체계적이고 다양한 지원 정책이 필요함을 시사한다.Objectives: The purpose of this study is to analyze the impact of the child care center director s curriculum support on respecting children s rights practices of teachers mediated by teacher efficacy. Methods: The survey was conducted on 416 teachers working at child care centers in the Seoul metropolitan area. Descriptive statistics, reliability tests and correlations were conducted using SPSS 25.0. Verification of the research model, and conformity assessment were performed using AMOS 21.0. The direct, indirect, and total effects of director s curriculum supporting acts on teacher efficacy and respecting children s rights practices were conducted. Verification of significance was performed by boot-strapping. Results: The research results showed that director s curriculum support have a significant impact on teacher efficacy while the teacher s efficacy has a significant impact on respecting children s rights practice. The results of verifying the teacher efficacy s medial effect showed that there were both direct and indirect effects between the two variables. Conclusions: The results suggest that the director s professional and systematic acts for supporting teacher s curriculum management, such as the presentation and monitoring of the teacher s curriculum process, are important for respecting children s rights practices in child care centers.
MSDU-net: A Multi-Scale Dilated U-net for Blur Detection

Blur detection is the separation of blurred and clear regions of an image, which is an important and challenging task in computer vision. In this work, we regard blur detection as an image segmentation problem. Inspired by the success of the U-net architecture for image segmentation, we design a Multi-Scale Dilated convolutional neural network based on U-net, which we call MSDU-net. The MSDU-net uses a group of multi-scale feature extractors with dilated convolutions to extract texture information at different scales. The U-shape architecture of the MSDU-net fuses the different-scale texture features and generates a semantic feature which allows us to achieve better results on the blur detection task. We show that using the MSDU-net we are able to outperform other state of the art blur detection methods on two publicly available benchmarks.
Approaches to Implementation of the Requirements of Educational Standards and Key Employers

The article considers the specifics of designing educational programs in higher education. When planning the educational results, it is important to develop all components of the educational program of each undergraduate and graduate course. The structure, content and the conditions for implementation of the educational program should guarantee the expected quality of graduate training according to the requirements of the Federal Educational Standards of Higher Education and the employers’ demands, as well as consider the starting opportunities of freshman students.
LibGuides: APA Referencing (APA 7th edition): Images

This guide shows students and staff how to reference using the APA Referencing style. Artwork, infographics, maps,photos, PowerPoint slides
PENGEMBANGAN MODUL ELEKTRONIK TERINTEGRASI MULTIPLE REPRESENTATION PADA MATERI IKATAN KIMIA

This research aims to categorize the results of validation of an electronic module that integrated by multiple representation on chemical bonding. The research approach that used in this research is descriptive quantitative. Validity data collection of the electronic module was measured using a validation questionnaire that has been declared valid based on the results of the assessment by a team of experts. An electronic module was validated by 2 people, namely chemistry teacher of SMA Negeri 1 Tanjungpinang and lecturer of Chemistry Education Department FKIP UMRAH. The results of the validation of content expert on the electronic module are for the content eligibility aspect was 93% with a very valid category, the presentation aspect was 96% with a very valid category, and linguistic aspects was 95% with a very valid category. Then the results of the validation of media expert on the electronic module are for the module size aspect was 80% categorized valid, the module cover design aspect was 80% with a valid category, and the module content design aspect was 86% with a very valid category. The average results of the validation of content and media expert on the electronic module that integrated by multiple representation on chemical bonding are 93% and 82% with very valid criteria and are worth testing out to teachers and students. Based on the results of the study, it was found that the electronic module that integrated by multiple representation on chemical bonding is valid to be used in the learning process.
Study of a Context Quality Model for UbiPri Middleware

With the growth of ubiquitous computing, context-aware computing-based applications are increasingly emerging, and these applications demonstrate the impact that context has on the adaptation process. From the context, it will be possible to adapt the application according to the requirements and needs of its users. Therefore, the quality of the context information must be guaranteed so that the application does not have an incorrect or unexpected adaptation process. But like any given data, there is the possibility of inaccuracy and/or uncertainty and so Quality of Context (QoC) plays a key role in ensuring the quality of context information and optimizing the adaptation process. To guarantee the Quality of Context it is necessary to study a quality model to be created, which will have the important function of evaluating the context information. Thus, it is necessary to ensure that the parameters and quality indicators to be used and evaluated are the most appropriate for a given type of application. This paper aims to study a context quality model for the UbiPri middleware, defining its quality indicators to ensure its proper functioning in the process of adaptation in granting access to ubiquitous environments.&#x0D; Keywords: QoC, Model, Context-Aware, Data, Privacy
Context-based Transformer Models for Answer Sentence Selection

An important task for the design of Question Answering systems is the selection of the sentence containing (or constituting) the answer from documents relevant to the asked question. Most previous work has only used the target sentence to compute its score with the question as the models were not powerful enough to also effectively encode additional contextual information. In this paper, we analyze the role of the contextual information in the sentence selection task, proposing a Transformer based architecture that leverages two types of contexts, local and global. The former describes the paragraph containing the sentence, aiming at solving implicit references, whereas the latter describes the entire document containing the candidate sentence, providing content-based information. The results on three different benchmarks show that the combination of local and global contexts in a Transformer model significantly improves the accuracy in Answer Sentence Selection.
Dilated Convolutions with Lateral Inhibitions for Semantic Image Segmentation

Dilated convolutions are widely used in deep semantic segmentation models as they can enlarge the filters' receptive field without adding additional weights nor sacrificing spatial resolution. However, as dilated convolutional filters do not possess positional knowledge about the pixels on semantically meaningful contours, they could lead to ambiguous predictions on object boundaries. In addition, although dilating the filter can expand its receptive field, the total number of sampled pixels remains unchanged, which usually comprises a small fraction of the receptive field's total area. Inspired by the Lateral Inhibition (LI) mechanisms in human visual systems, we propose the dilated convolution with lateral inhibitions (LI-Convs) to overcome these limitations. Introducing LI mechanisms improves the convolutional filter's sensitivity to semantic object boundaries. Moreover, since LI-Convs also implicitly take the pixels from the laterally inhibited zones into consideration, they can also extract features at a denser scale. By integrating LI-Convs into the Deeplabv3+ architecture, we propose the Lateral Inhibited Atrous Spatial Pyramid Pooling (LI-ASPP), the Lateral Inhibited MobileNet-V2 (LI-MNV2) and the Lateral Inhibited ResNet (LI-ResNet). Experimental results on three benchmark datasets (PASCAL VOC 2012, CelebAMask-HQ and ADE20K) show that our LI-based segmentation models outperform the baseline on all of them, thus verify the effectiveness and generality of the proposed LI-Convs.
LibGuides: Open Educational Resources at CLC: Creative Commons

A guide to open educational resources at the College of Lake County Information about open licenses from Creative Commons and how to choose one for your materials.
D-square-B: Deep Distribution Bound for Natural-looking Adversarial Attack

We propose a novel technique that can generate natural-looking adversarial examples by bounding the variations induced for internal activation values in some deep layer(s), through a distribution quantile bound and a polynomial barrier loss function. By bounding model internals instead of individual pixels, our attack admits perturbations closely coupled with the existing features of the original input, allowing the generated examples to be natural-looking while having diverse and often substantial pixel distances from the original input. Enforcing per-neuron distribution quantile bounds allows addressing the non-uniformity of internal activation values. Our evaluation on ImageNet and five different model architecture demonstrates that our attack is quite effective. Compared to the state-of-the-art pixel space attack, semantic attack, and feature space attack, our attack can achieve the same attack success/confidence level while having much more natural-looking adversarial perturbations. These perturbations piggy-back on existing local features and do not have any fixed pixel bounds.
Category of Lands described in Nellai texts

The article is a survey of the land and the messages that the Nellai district grammar books have realized. This article also clarifies the division of the land into five Ilakani's whereas the Nellai Texts divided them into ten. These grammar books differ from tradition in the way of grammar but with the acceptance of Conventional. The article also describes variations in the meaning of grammar.
CORRELATION AND CLUSTER ANALYSIS OF PRINCIPAL GEOLOGICAL PARAMETERS OF GIANT HYDROCARBON FIELDS

Summary We consider the problem of extraction of relevant geological parameters, related to the formation conditions of major hydrocarbon (HC) fields and estimation of their resource potential. The identification of most informative sets of geological parameters and revealing correlation dependencies between them is of crucial importance for HC exploration. Experience has proven, that 10–15 geological parameters have high information impact and can be used to estimate HC potential in most sedimentary basins. These parameters characterize sedimentation conditions, tectonic environment, organic matter transformation, location of the oil and gas accumulation areas etc. Depending on the geological conditions, relations of various nature can exist between these parameters, which can be characterized by pairwise correlation coefficients. We present the pilot study of the pairwise correlation coefficients between the metric subset of these parameters, calculated from data set of major world basins, including Azerbaijan giant fields. Several alternative graphic models are proposed (including trend curves, correlograms, chord diagrams and clustered dendrograms) to visualize the dependencies and to derive conclusions as to the impact of these parameters on the probability assessment of the HC field formation.
LibGuides: Qualtrics Surveys in Research: Setting up surveys

The Qualtrics Survey platform lets you create digital surveys. This guide gives information on how to implement Qualtrics in research in a thorough a save way.