Reviewerly/exHarmony huggingface dataset:
SELF-REGULATED LEARNING USING GEOGEBRA ASSISTED PROJECT-BASED LEARNING MODEL

The purpose of this study is to analyze the achievement of self-regulated learning between students who obtain a project-based learning model assisted by GeoGebra and students who get a project-based learning model. The research method used in this study is quasi-experimental with a pretest-posttest nonequivalent multiple group design. The subjects in this study were students of the Department of Mathematics Education in the second semester of the academic year 2018-2019 at Universitas Suryakancana. The research instrument used was a questioner of self-regulated learning. Analysis of the data used is the normality test, the homogeneity test, the independent sample t-test, and the percentage of achievement indicators. As a result, the achievement of self-regulated learning who obtained a project-based learning model assisted by GeoGebra was better than students who obtained a project-based learning model, the achievement of self-regulated learning who obtained a project-based learning model assisted by GeoGebra was good categorized, and the achievement of self-regulated learning who obtained a project-based learning model was good categorized.
Library Guides: Business: Marketing

This is a curated list of key resources relevant to Business, Accounting, Financial Planning, Human Resource Management, Management, Marketing and Property. To see all available databases, please go the the Library's A-Z Databases page.
Differential Description Length for Hyperparameter Selection in Supervised Learning

Minimum description length (MDL) is an established method for model selection. For supervised learning problems, cross-validation is often used for model selection in practice. Reasons are 1) MDL is difficult to apply directly to data; 2) MDL may make restrictive statistical assumptions that decrease performance; and 3) MDL does not directly aim to minimize generalization error. In this paper, we introduce a modification to MDL, which we call differential description length (DDL). DDL partitions the data so that the codelength(s) it computes, reflects the conditional probability of seeing ‘new’ data given ‘old’ data. This differential codelength is what allows DDL to estimate generalization error like cross-validation. DDL is also better than cross-validation because it allows the learning algorithm to use the entire data without having to withhold subsets for validation and testing. Compared with MDL, DDL has both better performance (in finding models with smaller generalization error) and is easier to compute. Experiments with linear regression and deep neural networks show that DDL also outperforms cross-validation.
Reflection-based Word Attribute Transfer

Word embeddings, which often represent analogic relations such as king − man + woman ≈ queen, can be used to change an attribute of a word, including its gender. To transfer the gender attribute of king to obtain queen in this analogy, we subtract a difference vector man − woman from king based on the knowledge that king is male. However, developing such knowledge is significantly costly for words and attributes. In this work, we propose a novel method for word attribute transfer based on reflection mapping without an analogy-based operation. Experimental results show that our proposed method can transfer the word attributes of the given words without changing the words that are invariant with respect to the target attributes.
The Leap of Faith: Experiences of Early Career Academics

Strand: Professional and vocational learning (including teacher education and higher education).Aims: This paper aims to examine the experiences of four early career academics in transition from the state school system to higher education. This paper will use the framework of teacher agency (Priestley et al., 2015) to consider the opportunities and challenges facing early career academics involved in negotiating this change in culture. This study is to provide an overview on how their agency is expressed in this new setting.Methods: This research draws on self-study methodology, which is self-initiated, interactive with a focus on improvement. This involves qualitative methods where validity is based on integrity (LaBoskey, 2004). This research critically evaluates the experiences and practices of early career academics in relation to agency. The data presented comes from a small-scale study conducted over a 12-month period involving the analysis of collaborative professional dialogue and reflective writings generated from the experiences of the academics. Data is analysed using a qualitative thematic approach based on the ecological view of teacher agency (Prestley et al 2015). Findings: Key themes are categorised under the headings of structural, cultural and material influences, which, impact agency. Similarities emerged in terms of opportunities and challenges experienced by the four academics. The key themes identified were; the specialist language used, the lack of structure imposed on working patterns, the management of people and processes being characterised as more horizontal and less rigid, the need to engage in scholarship and research and the lack of concrete exemplification of scholarly activity. All these variables were found to present both challenges and opportunities for new academics to diversify their skills and knowledge.Conclusion: We conclude by exploring the implications of these findings and recommend the need to embrace a proactive approach, engaging in generative dialogue (Boreham and Morgan, 2004) to empower and enhance agency. This paper explores what new possibilities could be developed to improve the transition of professionals into future early career academics. There is scope to expand this research to further encompass a wider range of colleagues across the university.
Design and Visualization for Exploring Real-World Data

The current issue features articles from our regular queue. A central theme of these articles is design and visualization for exploring real-world data. Also included is the winning entry of the 2018 VAST Challenge. Coming up in the May/June issue, we have a Special Issue, edited by Ligang Liu and Scott Schaeffer, on geometric modeling and processing, covering applications in computer graphics, vision, CAD/CAM, and VR/AR.
SUSTAINABLE DEVELOPMENT'S APPROACHES AND THEIR RELATIONSHIP TO GOVERNANCE MECHANISMS IN ORDER TO MAINTAIN INDUSTRIAL ENVIRONMENT: AN APPLIED STUDY

The study aims to identify the approaches to and its relationship to mechanisms, through the definition of the concept of in its general framework, as it is an integrated approach because of its integrated linkage, it combines economy, environment and society, Also, through the definition of mechanisms in that it is a system that identifies the elements that work together in a coherent and effective framework to protect and achieve the interests of the parties associated with the facilit. Accordingly, the practical aspect of the study was based on a sample of 10 industrial companies listed in the Egyptian Stock Exchange Index (S&P EGX ESG) for the period (2012 to 2018) through an applied study through analysis of the content of the reports and financial statements of the companies that were disclosed. Using descriptive statistical measures. Inferential statistical methods to test the relationship between study variables. The study variables consist of the dependent variable, sustainable development and the independent variable, governance mechanisms. The study relied on which included seven variables, namely, administrative ownership. The size of the Board of Directors, the number of times of the Board of Directors meeting, the independence of the Board of Directors, the size of the Audit Committee, the number of times of the Audit Committee, the independence of the Audit Committee. For in the companies under study, due to the fact that the disclosure of practices, disclosure optional, as well as the lack of accounting standards governing the method of measurement and methods disclosed.The study concluded that there was a significant relationship between the independent variables and the dependent variable, including through the use of a gradual regression analysis model to identify the independent variables affecting the dependent variable, and through that was reached several results were able to overcome some of the problems encountered in achieving The hypotheses of the study model using statistical treatment through which two models were reached for the gradual regression, and by analyzing the variance and the estimated equation coefficients of the two models, the second model was chosen because of the large correlation coefficient and the estimation error is lower than the first model.
PENGARUH PENGGUNAAN METODE BRAINSTORMING TERHADAP PRESTASI BELAJAR MENULIS WACANA ARGUMENTASI SISWA KELAS XI SMA DDI MAROS KABUPATEN MAROS

This study aims to describe your level of achievement of the students to write a discourse on the concept of using the method arguments after brainstorming on SMA DDI Maros District Maros.This experimental research is designed for quantitative descriptive. Population of this research is the entire class XI student of SMA DDI Maros, District Maros, amounting to 210 divided into 6 classes. The sample of this research are grouped into two groups, namely students XI-2 class of 31 people as a group / class and student class experiment XI-4 of 31 people as a group / class control. Sampling in this study using random sampling technique (random sampling). To get the primary data of this research, data collection was held with the pre-test and post-test test in the form of coal. Data collected analyzed using descriptive statistical techniques and statistical inferensial type of test t.Results of research shows that the use of methods of brainstorming on the concept of writing discourse arguments can improve student achievement class XI SMA DDI Maros Maros in the District. This means that there is the influence of the use of methods of brainstorming on the concept of writing discourse argued in improving student achievement class XI SMA DDI Maros District Maros.Based on the results of this study proposed recommendations, that is. (1) should be teaching Indonesian language and literature class XI SMA DDI Maros District Maros further enhanced with the training to students in writing discourse argued fitness aspect of the correct table of contents with the title, treasury vocabulary, diksi and spelling and punctuation, (2 ) teachers should always use the method of brainstorming on the concept of writing discourse argued, because this method can be considered to help students write, especially writing discourse argued class XI student of SMA DDI Maros District Maros.
Exploiting Image-Text Synergy for Contextual Image Captioning

Modern web content - news articles, blog posts, educational resources, marketing brochures - is predominantly multimodal. A notable trait is the inclusion of media such as images placed at meaningful locations within a textual narrative. Most often, such images are accompanied by captions - either factual or stylistic (humorous, metaphorical, etc.) - making the narrative more engaging to the reader. While standalone image captioning has been extensively studied, captioning an image based on external knowledge such as its surrounding text remains under-explored. In this paper, we study this new task: given an image and an associated unstructured knowledge snippet, the goal is to generate a contextual caption for the image.
Perancangan Pondok Pesantren Dengan Pendekatan Arsitektur Tropis Di KUnciran Jaya, Kecamatan Pinang, Kota Tangerang, Banten

Islamic boarding schools are a means of non-formal Islamic education that play a role in advancing the life of the nation as well as being a place to explore religious sciences, especially Islam, which is the majority in Indonesia. Islamic boarding school education is education that prioritizes Islam as a guideline. The purpose of this research is to realize the concept of planning and designing Islamic boarding schools in Tangerang City with the theme of Tropical Architecture which seeks to change the behavior patterns of its inhabitants to protect the surrounding environment from damage and better sustainability in the future. Analytical descriptive method for architectural design approach is carried out with an understanding of the principles of tropical architectural design, besides that, the activity group approach, capacity approach and space size are carried out. By applying the concept of tropical architecture can create a good learning environment and can prevent global warming problems. Building materials and components that have sustainable criteria to support the application of tropical architecture can be applied to buildings that function as a forum for santri activities in Islamic boarding schools.
AFLNet: Adversarial focal loss network for RGB-D salient object detection

Because salient objects usually have fewer data in a scene, the problem of class imbalance is often encountered in salient object detection (SOD). In order to address this issue and achieve the consistent salient objects, we propose an adversarial focal loss network with improving generative adversarial networks for RGB-D SOD (called AFLNet), in which color and depth branches constitute the generator to achieve the saliency map, and adversarial branch with high-order potentials, instead of pixel-wise loss function, refines the output of the generator to obtain contextual information of objects. We infer the adversarial focal loss function to solve the problem of foreground–background class imbalance. To sufficiently fuse the high-level features of color and depth cues, an inception model is adopted in deep layers. We conduct a large number of experiments using our proposed model and its variants, and compare them with state-of-the-art methods. Quantitative and qualitative experimental results exhibit that our proposed approach can improve the accuracy of salient object detection and achieve the consistent objects.
Subject Guides: Streaming Content: By Subject

Browse the Library's streaming film and music collections, as well as recommended open educational streaming resources.
The Analysis of Phononological Process on the Students' Pronunciation

ABSTRACT&#x0D; The objectives of the study are; 1) the phonological process are dominantly used by the student of Batak Tribes on English Pronunciation.2)to find the problem existence of English version different from the Batak version. The researcher wants to reveal the reasons why the phonological problems exist in pronouncing English of the English students of Batak tribes and also to find out what way that the students will use to solve the phonological process problem in pronouncing English. There were 234 incorrect of pronouncing English as affricatives in 30,27 %, fricatives in 50,68% as the dominant problem and the vowel /e/and long vowel occurred in 19,05%. the students were sometimes not difficult to pronounce long vowels. There might be a reluctance of practicing the real pronunciation to EFL. Pedagogically, the students need to get studying much more than and the English Lecturers practice English twister repeatedly by using English Listening and tendency for consonants and vowels practices.&#x0D; &#x0D; Keywords : Batak Tribes; Batak Tribes’ Pronunciation; Phonology of English Consonant and &#x0D; vowels
Features of Implementation in General Educational Institutions Art Programs

The article substantiates the psychological and pedagogical features of the development of artistic and creative abilities of junior schoolchildren in Fine Arts. The authors write that the development of creative abilities depends on the learning conditions, the organization of the exercise process, the sequence of learned actions, the transition from simpler to more complex tasks, from slow to fast pace of their implementation. The main tasks of artistic and aesthetic development of junior schoolchildren by means of Fine arts today are: the development of personal integrity, spirituality and consistent formation of aesthetic culture; education of an active attitude to the aesthetic phenomena of reality and art; systematized the formation of skills of aesthetic perception and evaluation activities, stimulation and actualization of creative potential and improvement of practical knowledge, skills and abilities in the field of Fine arts; described the development of the desire for creative self-realization in various types of poly artistic activities.
Argumentative topoi seen from a discourse analytic perspective

One core aspect of argumentation is the inferential reasoning that justifies the transition from the premises to the conclusion. Classical rhetoric accounted for such inference in terms of topoi (or topics), while contemporary approaches have introduced the notion of argumentation schemes, even if the two concepts still largely coexist. Different approaches exist to the analysis and classification of topoi/schemes. This paper ponders on how two different approaches, the Argomentum Model of Topics (AMT) and the pragma-dialectical account of schemes, can serve the purposes of discourse analysts interested in argumentation. While discourse analysis tends to approach topoi from a content-based perspective, in this paper the view is taken that relying on more formalised accounts may add methodological rigour to the analysis of real-life argumentation, while enhancing points of contact between discourse analysis and argumentation theory. In particular, the AMT and the pragma-dialectical schemes are applied to the analysis of arguments used in editorials on Brexit, with a focus on populism. Building on a previous study in which recurrent topoi were analysed drawing on a content-based approach, this paper will try to establish connections between the topoi thus identified and more formalised classifications of argument schemes, considering the pros and cons of the two approaches.
Touching character segmentation for printed Odia document

Character segmentation is one of the most challenging tasks in Optical character recognition. The main aim of this paper is to develop an algorithm for touching character segmentation. Here an ensemble approach is introduced for segmenting the characters from the words of a printed Odia document. It integrates projection-profiles based method, connected component-based method, and a novel algorithm for touching characters. The projection-profile based method segments the characters which are well-separated by space. The segmented components that we get from the projection profile-based method are used to determine the approximate width of the character. The connected component-based method is being used for the segmentation of the overlapped characters. The remaining filtered word images contain touching characters. For the touching characters, a novel algorithm has been developed by using the average width of a character. The proposed ensemble strategy has been evaluated to identify the archival documents as well as new documents.
Performance Analysis High Availability of Web Server in Cluster GKE (Google Kubernetes Engine) using Infrastructure Google Cloud Platform

Internet users in the world according to the Internet World Stat in 2020 reached 58.7% of internet users worldwide, this percentage increases from year to year. The growth of internet users worldwide, namely 1,167% from 2000 to 2020. The large number of internet users makes web service providers have to take resources for managed web servers. Based on these problems, we need a system that can help server performance and availability. Server grouping supports a number of computers to work together to perform the computation process. The technology server clustering has the advantage of being able to produce a system with a high level and level. Kubernetes is a cluster platform for container or container orchestrators. Kubernetes is expected to be a solution for more ef icient computing and the creation of a high-level system. The simulation system uses the public cloud platform, namely the google cloud platform with kubernetes services with google kubernetes engine services. The system is simulated using the google kubernetes engine on the google cloud platform. The average value of Availability was 99.96% of the total 27526 minutes of uptime. With the computational load of the nodes on the google kubernetes engine, the average CPU usage for each test scenario is quite stable with the highest CPU at 27.178% From the test result of throughput, the average value of throughput on each connection is 7,126 Mbit / s with the highest value for 1000 connections, namely 8,764 Mbit / s. The delay indicates the Very Good category based on the TIPHON standard of less than 150 ms. The highest percentage of packet loss was obtained at 5000 connections at 16.27%.
A Team-Based Approach to Developing Training, Documentation, and Communication for a Virtual Reality Space

This paper is a case study of a data visualization and virtual realities technologies space in a university library which had been misunderstood, underused, and neglected. Through an intense project-management effort involving stakeholders over the summer months, the space received a mutually-agreed upon purpose, and co-developed documentation, training, and communication strategies. As a result, the use of the space increased tenfold from the previous 3 years of operation and led to multiple new connections across campus with users of and researchers in virtual reality. This project demonstrates an effective method of re-envisioning the purpose of a space by engaging multiple stakeholders to gain a shared vision. Ultimately, this method can be employed by other institutions looking to improve use of a space or service
College Libraries: Self-Quarantine Activities: Nature Cams

Here are a few activities and resources to student, faculty and staff to cope while self-quarantining
퍼지 추론 온톨로지 기반의 정보 가치 산출 프레임워크

Purpose To make proper decision in the battlefield, information from diverse source must be utilized properly, but the volume of information generated in the battlefield is too large so that commanders may suffer information overload. To overcome this limitation, we propose a framework that automatically calculate the Value of Information (VoI), which is defined as the relative value of information for the specific information user in a certain situation.Methods In order to calculate the VoI, first of all, the evaluation indicators of VoI have devised as a hierarchical structure and the calculation method of each indicator was specifically developed. Second, we proposed a novel Fuzzy Inference Ontology named ONTFZ which can explicitly represent the entire process of fuzzy inference. Third, we developed VoI assessment process using ONTFZ to calculate appropriate VoI considering the battlefield situation and the commander''s context such as mission, rank and request.Results To prove that the ONTFZ is suitable for VoI calculation in battlefield, an implementation scenario based on a real event was developed. Based on the scenario, the prototype system has been developed and the excellence of this study was demonstrated.Conclusion In summary, we proposed the concept of ONTFZ and VoI assessment process. In our future work, we will adopt type-2 fuzzy method and data-driven models to VoI assessment process.