Reviewerly/exHarmony huggingface dataset:
MENYEMAIKAN KEMAMPUAN MELIHAT DENGAN HATI BAGI MAHASISWA ARSITEKTUR

&#x0D; &#x0D; &#x0D; Title: Developing Mindful Eyes of the Architecture Students&#x0D; Change is bound to happen in nature, be it revolutionary or evolutionary. The fundamental changes that occur throughtout all aspects would consequently have an impact on life in its entirety, and architecture education is no exception. Hence, architecture education should also continue to refine itself to anticipate the substantial issues it encounters. This first year studio is one of the concepts of change in architecture education, namely by attempting to find a different foundation wherein the emphasis of education is not in the accumulation of information but in fostering individuals to acquire sensitivity and skills for contemplating through a perspective of mutual togetherness. Mindful eyes is actually the consciousness to see, to learn through one?s eyes with awareness, which is implemented in this first year studio with the objective of learning to recognize the tools that will be used in the subsequent studios in the following years to come. This paper is the response of architecture education in confronting changes and it is currently implemented on first year architecture students. Several samples of first year student tasks are presented in a very simple manner, it is, however, aimed at preparing future architects with several essential skills.&#x0D; &#x0D; &#x0D;
Linear Models and the Relevant Distributions and Matrix Algebra.

This book presents procedures for making statistical inferences on the basis of the classical linear statistical model, and discusses the various properties of those procedures. Supporting material...
Bridging the Day and Night Domain Gap for Semantic Segmentation.

Perception in autonomous vehicles has progressed exponentially in the last years thanks to the advances of vision-based methods such as Convolutional Neural Networks (CNNs). Current deep networks are both efficient and reliable, at least in standard conditions, standing as a suitable solution for the perception tasks of autonomous vehicles. However, there is a large accuracy downgrade when these methods are taken to adverse conditions such as nighttime. In this paper, we study methods to alleviate this accuracy gap by using recent techniques such as Generative Adversarial Networks (GANs). We explore diverse options such as enlarging the dataset to cover these domains in unsupervised training or adapting the images on-the-fly during inference to a comfortable domain such as sunny daylight in a pre-processing step. The results show some interesting insights and demonstrate that both proposed approaches considerably reduce the domain gap, allowing IV perception systems to work reliably also at night.
“Scrumming” the Library Materials Budget: A Serendipitous Application of an Agile Project Management Framework

Maintaining a sustainable materials budget in academic libraries remains a challenging task, as it's not only affected by constant pressures of flat funding and increasing annual costs but is also subject to timely invoicing and accurate documentation of budget allocations and expenditures.At George A. Smathers Libraries at University of Florida (UF), developing the annual materials budget allocation is an extensive process that begins in November/December with a rough estimate derived from prior-year final expenditure figures.As the year progresses and expenditure commitments increase, the allocations estimate becomes more precise, and it culminates in August/September after a successful completion of the budget rollover.This paper describes an end-of-the-year methodology initiated by the Acquisitions & Collections Services Department (ACS) to ensure full payment of materials budget expenditure commitments, along with a timely budget rollover.This effort was to close the fiscal year with the maximum expenditures paid in order to set the foundation for developing the most accurate allocations for the next fiscal year.The focus of the paper is on electronic resources (e-resources) expenditures, which represents the highest percentage of the overall library materials budget.Simultaneously, this paper reveals the "serendipitous" application of Scrum-an agile project management framework to our end-of-the-year approach.An analysis of our methodology from a project-focused perspective revealed that many of our processes "serendipitously" mirrored those of the Scrum framework.Going forward, we plan to intentionally implement the complete Scrum framework in our end-of-the-year approach, in order to fully benefit from this methodology.
Superare BICS e CALP nell’offerta formativa linguistica universitaria in Italia

Contemporary language teaching for educational paths in binational degrees in Engineering is subject to some challenges. In particular the organisation and the graduality of linguistic teaching, according to the traditional subdivision in language for basic communication and language for academic and professional communication, is seen as a limit for the courses. In this essay some language education strategies are introduced to allow Italian learners to communicate proficiently in university and professional contexts in foreign countries. This proposal concerns an examination of French and Spanish language courses at the Politecnico di Torino, for Bachelor and Master degrees in Engineering of Industrial Production. Language courses aim both to develop the main linguistic basic areas of communication, and to improve learners’ language for specific purposes and academic discourse as well.
Meningkatan keaktifan dan hasil belajar ips melalui model jigsaw pada materi atmosfer dan hidorsfer

Seventy-five percent of Social Studies learning outcomes in atmospheric material and hydrosphere students at Pesanggrahan 2 Batu One Roof Junior High School, scored below the average KKM. That encourages teachers to implement improvements in social studies learning in the classroom. Improved learning designed into classroom action research activities. The learning method used in learning classroom action is a type of jigsaw cooperative learning. Data collection uses observation techniques using a collection of observation sheets. How in the first cycle, through a type of jigsaw cooperative learning model, student learning outcomes in solving social studies questions for junior high school class VII can improved. Students who completed the study in the first cycle of classroom action research, 30%, with an average value of 48, while in the first cycle, 78% of students completed the study with an average value of 71. In cycle II, students were active in studying social studies material on atmospheric material, and the VII grade junior high school hydrosphere was successful. Cycle I classroom action research-active students only 46%. While after completing the second cycle of action the percentage of activity reached 82%. The results of this study prove the role of giving more to students in learning considering the improvement in learning outcomes. DOI: 10.17977/um022v4i22019p096
Estimation of regression-based model with bulk noisy data

&lt;span&gt;The bulk noise has been provoking a contributed data due to a communication network with a tremendously low signal to noise ratio. An appreciated method for revising massive noise of individuals through information theory is widely discussed. One of the practical applications of this approach for bulk noise estimation is analyzed using intelligent automation and machine learning tools, dealing the case of bulk noise existence or nonexistence. A regression-based model is employed for the investigation and experiment. Estimation for the practical case with bulk noisy datasets is proposed. The proposed method applies slice-and-dice technique to partition a body of datasets down into slighter portions so that it can be carried out. The average error, correlation, absolute error and mean square error are computed to validate the estimation. Results from massive online analysis will be verified with data collected in the following period. In many cases, the prediction with bulk noisy data through MOA simulation reveals Random Imputation minimizes the average error.&lt;/span&gt;
Future Teachers’ Intellectual and Creative Skills Development in the Multicultural Educational Sphere

The relevance of the present issue is caused by a strong need of higher education practice in scientific and methodological provision of a future teacher’s intellectual and creative skills development in the multicultural educational sphere. The aim of the article is to justify scientifically the procedural essence of pedagogical technology of learners’ skills development in a higher pedagogical school. The main method of the research is conceptual and terminological analysis, as it helps to define key terms "intellectual and creative skills" and "system and prognostic thinking". On this basis the author reveals the essence of future teacher’s intellectual and creative skills development, presents a pedagogical technology including theoretical, empirical and reflexive phases which are carried out through the mechanisms of goal-setting, practical exercising and reflection. The author works out motivation and cognitive, activity and reflexive criteria and indicators which are objective, universal and sufficient for correct fixation of qualitative changes in the level of future teachers’ intellectual and creative skills development. The technology created by the author helps future teachers create and carry out new ways of influence on their pupils, perceive the educational process as a dynamic sphere of open tasks. The research materials can be used during future teachers’ studying in a higher pedagogical school and advanced training.
Computations of sound power and level components in symphony orchestra

A symphony orchestra and its members are both sources and receivers. The individual musician in an orchestra hears a combination of direct sound from own instrument, a mix of direct sounds from co-musicians, and reverberant sound from the whole orchestra. The delicate balance between these three components is assumed to have big impact on playing conditions, hearing of self and others, masking of self and others, ensemble, self-reinforcing feedback loops that cause escalating sound power, and excessive noise exposure, to mention a few. Of course the result will affect the audience. Different models for computing the three sound components, and results will be presented.
Doing the Math: Discovering Infinity Transitioning Monograph Standing Orders from Print to Online and Deriving a Variable Formula for Success

In 2016, University of British Columbia Science Library liaisons met with the Math faculty to consider the value of switching their beloved print monograph series to online format.Arguments of greater discoverability, findability, and access won the faculty members, and they voted in acceptance of the change.In retrospect, persuading the Math faculty of the value in switching from print to online format was an easy win.The tough part came in transforming this pledge to reality.We describe the factors making this transformation difficult, the options of purchasing the monographic series as e-books (available to us as of 2018), and the next steps we plan to take.
Study of the Professional Standard Assessment by Young Teachers

Professional standard of a teacher is a document that takes into account all the requirements for teacher’s personality and professional competence. From now on teacher’s qualification level will be assigned in accordance with this regulatory act. It should also be considered when recruiting a teacher and in drafting his job description. This document details all the knowledge and skills that teachers should possess, and also specifies labor activities depending on the direction of work (teacher in a preschool institution, primary school teacher, subject school teacher, etc.). It is expected that due to the introduction of a professional standard, top-ranking specialists who can work with various categories of children (gifted, disabled, orphans, migrants, etc.) and effectively interact with other specialists (special education teachers, psychologists, social educators and etc.) will form the basis of Russian educational system. This study was conducted in the context of a cross-cultural research of professional teaching standards: on the understanding of professional standards by teachers in five countries. Participating countries: Scotland, Portugal, Russia (1st stage), Canada and Australia (2nd stage). The purpose of the study is to analyze the features of teacher’s professional standard assessment by young teachers, and empirically compare the features of teacher’s professional standard assessment by young teachers and by experienced ones. The study involved 258 teachers of educational institutions, among them - 35 men and 193 women. The age of the subjects is from 24 to 54 years. The experience of pedagogical activity varies from 3 to 35 years. The data obtained allow us to state that the majority of young teachers believe that professional standards are useful for evaluation teachers' work; professional standards state a constructive policy aimed at improving learning; professional standards are a suitable tool to support professional development of teachers. At the same time, young educators note that professional standards entail bureaucratic control over teachers, and that professional standards are the way to increase teacher accountability. In general, young teachers have a positive attitude to professional standards, however, there is a fear of increasing the bureaucratic pressure on them.
Jaringan Syaraf Tiruan Backpropagation untuk Klasifikasi Data Tilang Berdasarkan Jenis Pelanggaran

Proof of violation (ticketing) applies to every person who commits a violation in traffic. The high level of violations that occur also results in the ticket data stored at the Simalungun District Prosecutor's Office becoming obstacles such as the excess capacity of the courtroom.In the ticketing file there are several important points that explain the details of the ticket, such as the type of evidence, vehicle, article, attendance at the trial, and the type of operation performed.Classification can be used as an alternative in the division of the ticketing schedule.The ticket classification in this study uses the Backpropagation method.The target of the expected backpropagation classification is a type of minor and severe violation.The best level of accuracy obtained from this study is 95.0%.
TECHNOLOGY FOR HOME MONITORING

Abstract Healthcare is increasingly moving away from expensive hospitals into the home. Although there are advantages to managing chronic health conditions in homes, there are also a number of disadvantages, beginning with aging adults’ unfamiliarity with the technologies being deployed. Too often, designs and instructional materials are not developed with aging users’ capabilities in mind. Health technology also confronts users with significant challenges including just-in-time learning when users are under significant stress. Technology support is often lacking. Also, care coordination for multiple chronic conditions is challenging. For instance, patients are often provided with multiple electronic health record portals. I discuss the reliability of and some of the practical challenges for a home health monitoring system used by older adults and those with heart failure over a 6-month interval. The system featured components such as a wrist-worn sensor package, daily tablet surveys, blood pressure cuff, weight scale, and bed sensors.
Further Advances in Pragmatics and Philosophy:Part 1 From Theory to Practiceedited by Alessandor Capon, Marco Carapezza,and Franco Lo Piparo (2018)

Further Advances in Pragmatics and Philosophy:Part 1 From Theory to Practiceedited by Alessandor Capon, Marco Carapezza,and Franco Lo Piparo (2018)
A Latent-Constrained Variational Neural Dialogue Model for Information-Rich Responses

The variational neural models have achieved significant progress in dialogue generation. They are of encoder-decoder architecture, with stochastic latent variables learned at the utterance level. However, latent variables are usually approximated by factorized-form distributions, the value space of which is too large relative to latent features to be encoded, leading to the sparsity problem. As a result, little useful information is carried in latent representations, and generated responses tend to be non-committal and meaningless. To address it, we initially propose the Latent-Constrained Variational Neural Dialogue Model (LC-VNDM). It follows variational neural dialogue framework, with an utterance encoder, a context encoder and a response decoder hierarchically organized. Particularly, LC-VNDM uses a hierarchically-structured variational distribution form, which considers inter-dependencies between latent variables. Thus it defines a constrained latent value space, and prevents latent global features from being diluted. Therefore, latent representations sampled from it would carry richer global information to facilitate the decoding, generating meaningful responses. We conduct extensive experiments on three datasets using automatic evaluation and human evaluation. Experiments prove that LC-VNDM significantly outperforms the state-of-the-arts and can generate information-richer responses by learning a better-quality latent space.
A Novel Image Encryption Scheme Based on Reversible Cellular Automata

In this paper, a new scheme for image encryption is presented by reversible cellular automata. The presented scheme is applied in three individual steps. Firstly, the image is blocked and the pixels are substituted by a reversible cellular automaton. Then, image pixels are scrambled by an elementary cellular automata and finally the blocks are attached and pixels are substituted by an individual reversible cellular automaton. Due to reversibility of used cellular automata, decryption scheme can reversely be applied. The experimental results show that encrypted image is suitable visually and this scheme has satisfied quantitative performance.
Aplikasi Web Usage Mining Menggunakan Metode Association Rule Dengan Algoritma Fp-Growth Untuk Mengetahui Pola Browsing Pengunjung Website

As a way to improve the promotion of institutions via the web, there is a need for a method to view browsing patterns of visitors on the site unilak.ac.id, thereby showing the user's interest in the links he visits. Data mining or knowledge discovery is a process of extracting valuable information by analyzing the existence of certain patterns or relationships. To find visitor patterns in the form of association rules is to use the association rule method. FP-Growth is an alternative algorithm that can be used to determine the most frequent set of data in a set of data. FP-Growth is applied to get a pattern of visitors, about what links are frequently visited and seen by visitors on the site unilak.ac.id. This pattern is used to help web administrators in developing the site unilak.ac.id by utilizing knowledge from the association pattern to regulate the layout / layout design of the categories available on the site unilak.ac.id. From the results of processing the dataset with FP-Growth algorithm and processing data processed using data mining software, namely Rapidminer 6.5. It was found that the minimum value of support was 1% and the minimum confidence value of 50% resulted in 124 rules of association.
Introdução ao processamento de ﬂuxo de dados: uma abordagem orientada a eventos complexos

Most of information technologies courses are focused on exposing the traditional static data (e.g., SGBD) processing model and lack on presenting the data stream model.Such model can be applied to fields such as Internet of Things, busyness and finances, logistics and smart cities) of the industry.Complex Event Processing consists of a programming approach to handle Data Stream Processing.It provide primitives to process and detect the occurrence of patterns in data streams.This chapter has the objective of presenting the complex event processing (CEP) programming model as a means of dealing with the specificities of data flows.
Foreign-language training of students of the legal direction: personally focused approach

The article deals with the Legal English training of students within personality-oriented approach. It analyses personality-oriented education concepts and describes the experience of Mock Trial as a tool of foreign language communicative competence formation. The authors note such advantages of the Mock Trial technology in foreign language teaching as creating conditions for the immersion of students in practical activity for professional and language development. The article describes the steps of students’ preparation of a case for a trial. Special attention is paid to the formation of phonetic skills of Legal English as a tool of increasing the communication efficiency. The conclusion about the effectiveness of Mock Trial for the development of students' communicative competence is made.
PENGARUH KECERDASAN EMOSIONAL TERHADAP MOTIVASI BELAJAR MATEMATIKA SISWA KELAS IV SEKOLAH DASAR ISLAM BABUSSALAM DURENAN KABUPATEN TRENGGALEK TAHUN AJARAN 2017/2018

Mathematics is one of compulsory science for all human beings. However, this science is often a scourge for students so that the motivation of students to this science is low. Emotional intelligence is one of the factors that influence the high intrinsic motivation that the learners have. From the exposure, the researchers took the formulation of the problem "Is there any influence of emotional intelligence on the motivation (intrinsic) learning mathematics fourth grade students Islamic Elementary School Babussalam Durenan?". This research uses quantitative research with survey method on fourth grade students of SDI Babussalam. In collecting data using questionnaire in the form of questionnaire.Result of t analysis (tcount) 6,999&gt; ttable 2.032 at 5% significant level with df = N - k = 36 - 2 = 34 then alternative hypothesis accepted which mean existence of influence of signivikan given by emotional intelligence to motivation learn student of fourth grade Islamic Elementary School Babussalam Pandean Durenan Sub-district of Tenggalek Regency. In the activity of teaching and learning, there should be special attention to the development of intellectual intelligence and social intelligence of children.
KEEFEKTIFAN STRATEGI MENULIS TERBIMBING UNTUK MENINGKATKAN KETERAMPILAN MENGARANG NARASI

This research is motivated by the low learning outcomes of students' narrative writing skills at SDN 003 Tasik Juang. This research was conducted in class IV with a total of 25 students. The purpose of this study is to improve students' narrative writing skills by implementing guided writing strategies. This research is a class action research consisting of two cycles with stages of planning, action, observation and reflection. The results showed in learning 1 the number of students who completed as many as 19 people with a percentage of 76% and as many as 6 people who did not complete with a percentage of 24%. In learning 2 the number of students who completed as many as 21 people with a percentage of 84% and as many as 4 people who did not complete with a percentage of 16%. In learning 3 the number of students who completed as many as 22 people with a percentage of 88% and as many as 3 people who did not complete with a percentage of 12%. In the last study, the number of students who completed as many as 23 people with a percentage of 92% and as many as 2 people who did not complete with a percentage of 8%. Based on the results of this study it can be concluded that the implementation of the guided writing strategy has proven to be effective in improving the learning outcomes of narrative writing skills of the fourth grade students of SDN 003 Tasik Juang