Reviewerly/exHarmony huggingface dataset:
Study on Curriculum Improvement for Fostering “Practical Abilities” for the Department of Architecture in National Institute of Technology

Because of the crucial transitional phase of curriculum improvement and the importance of fostering “practical abilities” in National Institute of Technology, we conducted a survey on basic information for architecture education and “practical abilities” for all 13 departments of architecture in National Institute of Technology. Also, we interviewed some departments about “practical abilities,” especially related to education in different age students for curriculum improvement. The survey and interviews reveal that education in different age students such as Co+work and Incubation Work could develop skills associated with the “practical abilities.” In addition, the paper describes the importance of making vertical connections for different age students in classes and having social connections with various people. The paper also identifies not only some other positive educational effects but also common issues and problems for implementing education in different age students.
The matter of meta in research data management: Introducing the CESSDA Metadata Office Project

Accompanying the growing importance of research data management, the provision and maintenance of metadata – understood as data about (research) data – have obtained a key role in contextualizing, understanding, and preserving research data. Acknowledging the importance of metadata in the social sciences, the Consortium of European Social Science Data Archives started the Metadata Office project in 2019. This project report presents the various activities of the Metadata Office (MDO). Metadata models, schema, controlled vocabularies and thesauri are covered, including the MDO’s collaboration with the DDI Alliance on multilingual translations of DDI vocabularies for CESSDA Service Providers. The report also summarizes the communication, training and advice provided by MDO, including DDI use across CESSDA, illustrates the impact of the project for the social science and research data management community, and offers an outline regarding future plans of the project.
Challenges of remote learning by university students in the Covid-19 context

Objective: To report the experiences of remote work and distance education of a group from PET-Saude Interprofessionality in the pandemic. Method: This is an experience report of the activities developed by a group from PET-Health, linked to the State University of Feira de Santana (UEFS) and the Diabetic and Hypertensive Care Center (CADH), from March to June of 2020. Face-to-face activities at UEFS and CADH have been replaced by remote and distance learning activities. The methodology used involved the incorporation of virtual tools in: 1) Seminars and distance education courses; 2) Establishment of innovation strategies for health activities; 3) Construction of Health Education materials. Results: The virtual educational tools allowed the realization of an innovative work, focused on the initial and continuous training of students, teachers and health professionals. Changes in the flow of patients, production of booklets and articles were also developed. Conclusion: The use of virtual platforms and distance education favored the planning of actions, providing gain of individual and collective knowledge, allowing changes in the service, guidance of patients and scientific production
A Tool to Manage Educational Activities on a University Campus

A very common type of extracurricular activities in universities are seminars and workshops. These types of events are used by instructors to introduce advanced content of the subjects they teach, to carry out practical applications, to invite speakers or experts in the field who speak about leading research topics, etc. The development of these activities requires some tool that facilitates its organization and management. Thus, it is necessary to manage relevant aspects for this purpose, such as the control of the participants in the events, the carrying out of satisfaction surveys, or the sending of notifications about unexpected changes in the event (time change, classroom change, etc.). This article presents a tool that has been developed with the aim of managing this type of events in an agile and simple way for both participating instructors and students.
Correction to: Activity recognition through interactive machine learning in a dynamic sensor setting

Fig. 7 and Fig. 8 have incorrect legends in the images and have been updated.
An Augmented Reality Command and Control Sand Table Visualization of the User Interface Prototyping Toolkit (UIPT)

The User Interface Prototyping Toolkit (UIPT) constitutes a software application for the design and development of futuristic stylized user interfaces (UIs) for collaborative exploration and validation with regards to decision making and situational awareness by end users. The UIPT toolkit effort is targeted to Command, Control, Communications, Computers, Intelligence, Surveillance and Reconnaissance (C4ISR) and Cyber missions for the U.S. Navy. UIPT enables the Navy to significantly reduce the risks associated with pursuing revolutionary technology such as autonomous vehicles, artificial intelligence and distributed sensing in terms of the design of the user interface. With this in mind, augmented reality is examined to determine if this technology can be useful to the Navy’s mission in supporting the warfighter in the future vision of the Navy. This work examines the development and evaluation of an augmented reality virtual sand table presentation overlaid over the same set of information presented in the UIPT displayed on a large touch table. This new way to present the same information allows for a unique collaborative setting to be evaluated as a potential future user interface for the Navy. This is applied in the context where a group of warfighters gather in collaborative virtual space for decision making and situational awareness. The development and experimentation with an augmented reality interface initiates the means to validate a futuristic Navy vision of user interfaces that support the warfighter in a Command and Control environment.
Pemenuhan Nilai Investigasi dalam Konten Youtube Watchdoc

Abstract. This research is motivated by the development of the speed of information flow in journalistic activities. The speed of information flow is growing rapidly along with the ease with which the audience is in the information. So it is not uncommon for the mainstream media to only prioritize the actuality of news individually. On that basis, independent alternative media were born. The media is able to take risks by competing and creating their own identity in the process of making journalistic works. The modern information flow that accesses it has been so strong and sophisticated in creating an image that must believe the audience with aspects of the truth of the truth. Apart from describing the accuracy, explanation, development, the positive side of the modern era information flow is that it can easily analyze data using 'data journalism' techniques. Media Watchdoc which focuses on youtube presents and opens the eyes of the audience with credible factuality. One of their documentaries is The film seeks to expose the palm oil industry program - including the forest burning system in Indonesia through its investigative journalism. The aim of this research is to find a pattern of in-depth coverage through the journalism framework, which is contained in the narrative of the Watchdoc documentary film, Asymmetrical. Based on the qualitative method of Nick Lacey's narrative analysis on the structure of the news and the narrator's ranking, the writer will find a reduction in research regarding the fulfillment of population values in the narrative. Keywords: Investigative Reportage, Film Journalism, Narrative Analysis
Diabéticos no contexto da pandemia por COVID-19: implantação de procedimento operacional padrão em serviço especializado

Objective: To describe the experience of a tutorial group from PET-Saude Interprofessionality in the preparation of standard operating procedure (SOP) referring to risk screening for diabetic patients in a specialized center during the Covid-19 pandemic. Method : This is a proposal to standardize the screening procedure for diabetic patients to assist the health team in managing the flow of patients in the service. It is an experience report, prepared by a group from PET-Saude / Interprofessionality that works at the Diabetic and Hypertensive Care Center (CADH), in the municipality of Feira de Santana-Ba. Results: The protocol describes the flow of screening for patients seen at the CADH, including recommendations for the isolation area in the initial screening, use of mandatory masks, clinical management of suspected cases and referral flow. Conclusion: The implementation of protocols can result in benefits for staff and users, enabling greater security and assistance in pandemic periods by Covid-19.
Requirements Management in Automotive: an Empirical Study on Process Improvement Areas

In the automotive domain the development of software-intensive components is mainly demanded to specialized suppliers that are required by car manufacturers a.k.a. OEMs (Original Equipment Manufacturer) to measure and, eventually, improve their development process by applying process models such as Automotive SPICE. Automotive SPICE is therefore a widely-applied reference framework providing a set of requested practices in the development life-cycle, including requirements management. Requirements management is a key issue in automotive because the high volatility of requirements during projects and the need of interactions among different stakeholders. This paper aims at contributing in identifying what are the most frequent weaknesses in requirements management in automotive. The authors present the results of an empirical study aimed at characterizing and analyzing recurrent requirement management weaknesses in automotive. The authors, as Automotive SPICE assessors, have evaluated requirement management practices on the basis of the evidences gathered from real industrial development projects during a significant number of assessments performed at several organizations world-wide. This paper is intended to derive a picture of the state-of-the-practice of requirements management in automotive focusing on the development of software-intensive automotive components. The purpose is to provide researchers and practitioners with a reference for improvement initiatives aimed at solving those weaknesses.
Shape Optimized Photonic Integrated Circuit for Optical Computing Applications

Shape optimization techniques were quite recently applied to photonic components but to the best of our knowledge, no application to optical computing has been reported yet. Here, we present the design of a photonic integrated circuit, composed of shape optimized passive components, performing a matrix-vector product. A ≈ 2000 times gain on the overall footprint is achieved in comparison with a conventional circuit using classical Mach-Zehnder interferometers.
Deep Learning Superpixel Semantic Segmentation with Transparent Initialization and Sparse Encoder

Even though deep learning greatly improves the performance of semanticsegmentation, its success mainly lies in object central areas but withoutaccurate edges. As superpixel is a popular and effective auxiliary to preserveobject edges, in this paper, we jointly learn semantic segmentation withtrainable superpixels. We achieve it by adding fully-connected layers withtransparent initialization and an efficient logit consistency with a sparseencoder. Specifically, the proposed transparent initialization reserves theeffects of learned parameters from pretrained networks, one for semanticsegmentation and the other for superpixel, by a linear data recovery. Thisavoids a significant loss increase by using the pretrained networks, whichotherwise can be caused by an inappropriate parameter initialization on theadded layers. Meanwhile, consistent assignments to all pixels in eachsuperpixel can be guaranteed by the logit consistency with a sparse encoder.This sparse encoder with sparse matrix operations substantially improves thetraining efficiency by reducing the large computational complexity arising fromindexing pixels by superpixels. We demonstrate the effectiveness of ourproposal by transparent initialization and sparse encoder on semanticsegmentation on PASCAL VOC 2012 dataset with enhanced labeling on the objectedges. Moreover, the proposed transparent initialization can also be used tojointly finetune multiple or a deeper pretrained network on other tasks.
Optimal Targeting Display for Navigated Pelvic Screw Insertions

Surgical navigation can be used for complex orthopaedic procedures, such as iliosacral screw fix- ations, to achieve accurate and efficient results [11]. Although there have been studies studying the impact of navigation systems on surgical outcomes [6, 3], we are not aware of any studies that have quantified the effect of how information regarding the surgical navigation scene is displayed to surgeons on conventional monitors. However, the display of information can have a measurable effect on both accuracy and time required to perform the navigated surgery, as the surgical scene can be presented in many different formats [9]. Optimizing surgical accuracy potentially helps improves patient safety by reducing screw malplacement [11], while optimiz- ing time efficiency reduces opportunity cost [1]. Therefore, we designed a study to determine the optimal visualizations for performing navigated pelvic screw insertions. The findings of this study can be used to more systematically design visualization components of a navigation system.
Factors Influencing Academic Stress on Students of University of Economics and Business - Vietnam National University

The objective of this study is to investigate the impact of seven factors causing academic stress on students of University of Economics and Business - Vietnam National University: Lack of leisure time, Academic performance, Fear of failure, Academic overload, Finances, Competition between students, Relationships with university faculty. Based on the results of a practical survey of 185 students who are attending any courses at the University of Economics and Business - Vietnam National University, the study assesses the impact of stress factors on students. The thesis focuses on clarifying the concept of "stress" and the stress level of students, while pointing out its negative effects on students. This study includes two cross-sectional questionnaire surveys. The first survey uses a set of 16 questions to assess students’ perceptions and attitudes based on an instrument to measure academic stress - Educational Stress Scale for Adolescents (ESSA). The second survey aims to test internal consistency, the robustness of the previously established 7-factor structure. Henceforth, the model was brought back and used qualitatively, combined with Cronbach’s Alpha measurement test and EFA discovery factor analysis. This study was conducted from October 2019 to December 2019. From these practical analyzes, several proposals were made for the society, the school and the students themselves.
Image compression using discrete cosine transform and discrete wavelet transform

The large amount of digital data being created, store and transferred over the internet calls for optimum usage of available data storage capabilities. Images forms the bulk of the data and thus study and application of image compression becomes inevitable. In this research work, a thorough investigation into the image compression paradigm has been presented. The two commonly used techniques of image compression viz. Discrete cosine based Image compression and Discrete Wavelet based Image Compression techniques have been presented here. The techniques have been discussed by comparing the performance of the algorithm on a number of images. The images used are standard images of varying sizes. The techniques have been applied successfully and the results of compression using both the techniques have been compiled. The comparison shows as given in the results chapter that for the same input image the compression in DCT technique is more than the DWT technique. However, the quality of the image decreases. There always lies a tradeoff between the compression ratio and perceptual quality of the image obtained and it largely depends on the usage to decide the priority of which method to choose over the other. If the focus and usage is entirely on compression and image quality is a less important factor, then the preferred method should be DCT as described in this thesis. However, if the quality of image is also to be maintained while compressing into smaller disk size, then the DWT based compression technique must be employed.
Study on the Interactive Development of English Education in Local Universities and Urban Culture Construction

Cities feed universities and universities lead cities into further development. The content of English teaching in local universities should keep pace with social life, introduce diversified cross-cultural languages and integrate into local excellent traditional culture. In the meantime, the development and dissemination of urban culture should serve the purpose of strengthening English education, thereby generating a strong demand for college English education and effectively promoting the reform of college English education.
Formal synthesis of analytic controllers : An evolutionary approach

Control design for modern safety-critical cyber-physical systems still requires significant expert-knowledge, since for general hybrid systems with temporal logic specifications there are no constructive methods. Nevertheless, in recent years multiple approaches have been proposed to automatically synthesize correct-by-construction controllers. However, typically these methods either result in enormous look-up tables, require online optimization, or are highly dependent on expert-knowledge. The goal of this thesis is to propose a novel approach that overcomes these limitations, i.e. to propose a framework for automatic controller synthesis, capable of synthesizing closed-form controllers for hybrid systems with temporal logic specifications, without a heavy reliance on expert-knowledge. To this end, we draw inspiration from the human design process and utilize two methods that show great similarities to it, namely evolutionary algorithms and counterexample-guided inductive synthesis (CEGIS). Specifically, we use genetic programming (GP), an evolutionary algorithm capable of evolving entire programs. This makes it possible to automatically discover the structure of a solution. Moreover, it enables the synthesis of compact closed-form controllers, circumventing the need for look-up tables or online optimization. In combination with GP, we use the concept of CEGIS to refine candidate solutions based on counterexamples, until the controller is guaranteed to satisfy the desired specification. In this thesis we propose two CEGIS-based synthesis frameworks, which differ in the employed verification paradigms, namely utilizing either (co-synthesized) Lyapunov-like functions or reachability analysis. Both frameworks result in correct-by-construction compact closed-form controllers, where the use of expert-knowledge is optional. Both frameworks are capable of synthesizing sampled-data controllers, enabling implementation in embedded hardware with limited memory and computation power, forming a stepping stone towards faster automation.
ACRONYMS IN TITLE WRITING OF STUDENT CREATIVITY PROGRAMS 2018

The writing of the Student Creativity Program (SCP) titles has its appeal and uniqueness. One of which can be seen in the process of forming words in the form of acronyms. This article aims to describe the process and results of the formation of acronyms on the writing of SCP titles funded in 2018. This research is a qualitative descriptive study. This research data are in the form of words, phrases, clauses, and sentences in the SCP titles. The source of research data is the SCP titles from 5 fields in 2018. Data collection uses observation and note-taking techniques. The method of data analysis is the constituent analysis method and its expansion techniques, namely techniques of removing, inserting, replacing, and expanding. The data validity test uses theory triangulation. The results show that the formation of acronyms produced five forms of acronyms on the writing of the SCP titles, namely acronyms derived from two words, three words, four words, five words, and more than five words. Three acronym formation processes are found, namely using the initial letters of words, using syllables or fragments of words, and using mixes of initial letters of words and syllables or fragments of words.
Perancangan Tekstil Tenun Gedog Menggunakan Teknik Eco-print Dengan Inspirasi Batik Tuban

ABSTRACT The Tuban area in East Java is one of the producing areas of woven cloth and woven fabric, which is commonly called gedog woven fabric, made from cotton plants which are then spun into yarn so that it continues into the weaving process. Gedog woven fabric that has 100% organic cotton as a basis has the potential to be developed following the eco-fashion trends that are increasingly in demand by the public along with increasing public awareness will require increased environmental and environmental sustainability. One technique that is popular with this fashion trend is the eco-print technique. The results of environmentally friendly printing techniques look natural and imperfect, but can create a beautiful aesthetic values and seem modest. Seeing the potential in this study, the author wants to provide new visual variations on Gedog woven fabric using eco-print techniques with Tuban batik as inspiration so as not to eliminate Tuban characteristics. The research methods used in this study are the study of literature, experiments, interviews and observations. This study aims to provide new visual variations on Gedog woven fabric without eliminating the unique and natural-looking character of Gedog woven material. The final results of this study are in the form of sheets of woven cloth (jarit) patterned eco-print with batik Tuban as inspiration and sketch of development plans on fashion products. Keywords: Gedog woven fabric, Eco-Print, Batik Tuban.