Reviewerly/exHarmony huggingface dataset:
Supervised Augmentation: Leverage Strong Annotation for Limited Data

A previously less exploited dimension to approach the data scarcity challenge in medical imaging classification is to leverage strong annotation, when available data is limited but the annotation resource is plentiful. Strong annotation at finer level, such as region of interest, carries more information than simple image level annotation, therefore should theoretically improve performance of a classifier. In this work, we explored utilizing strong annotation by developing a new data augmentation method, which improved over common data augmentation (random crop and cutout) by significantly enriching augmentation variety and ensuring valid label given guidance from strong annotation. Experiments on a real world application of classifying gastroscopic images demonstrated that our method outperformed state-of-the-art methods by a large margin at all different settings of data scarcity. Additionally, our method is flexible to integrate with other CNN improvement techniques and handle data with mixed annotation.
Pengaruh Penggunaan Media Sponges Dakon Pada Materi FPB dan KPK Terhadap Hasil Belajar Siswa Kelas IV SD

This study aims to determine the learning outcomes of mathematics for highest common factor (hcf) and lowest common multiple (lcm) materials the by using ‘dakon’ sponges media in the SDN Kondangjaya III, East Karawang District, Karawang Regency. The method used is quasi-experimental, with non equivalent control group design research. The results shows that there is a significant effect between the learning outcomes of students who use media sponges and who did not use the media. The result showed sig = 0.000 0 α = 0.05, indicating that the hypothesis is accepted. It can be concluded that the results of student mathematics learning in get a positive influence by using ‘dakon’ sponges media.
No one can predict the future : More than a semantic dispute

Models are pivotal to battle the current COVID-19 crisis. In their call to action, Squazzoni et al. (2020) convincingly put forward how social simulation researchers could and should respond in the short run by posing three challenges for the community among which is a COVID-19 prediction challenge. Although Squazzoni et al. (2020) stress the importance of transparent communication of model assumptions and conditions, we question the liberal use of the word ‘prediction’ for the outcomes of the broad arsenal of models used to mitigate the COVID-19 crisis by ours and other modelling communities. Four key arguments are provided that advocate using expectations derived from scenarios when explaining our models to a wider, possibly non-academic audience.
Study on obstacle avoidance for fractional artificial potential fields

One of the main problems related to path planning is to find a method which will effectively allow the robot or vehicle to avoid obstacles, provided that these obstacles can be static or dynamic. One of the most interesting methods for path planning is the use of the artificial potential fields in order to create a representation of the environment as proposed by Khatib and Ge & Cui. These approaches enable handling online situations, which is desirable when facing uncertain obstacles appearing in the path. Three propositions are provided in the repulsive potential fields to avoid acceleration oscillations occurring while the ego-vehicle enters the limit boundaries of an obstacle. The advantages and limitations of the proposed methods will be explored. The performance of the different propositions will be compared by using criteria such as length and energy in a simple scenario.
The Sailboat Exercise as a Method for User Understanding and Requirements Gathering

To design digital products and services that truly empower end-users requires that design and development teams involve end-users early and throughout the design process.However, regardless of the wealth of methods available to Human-Computer Interaction designers, to identify tools that are both intuitive to use and allow for the active engagement of end-users, namely though co-design activities, is hardly ever easy.To identify a simple and straightforward method can be challenging especially when the end -user group are older adults.This paper proposes an adaptation of an exercise, traditionally used in agile retrospectives -the sailboat exercise -here modified and tailored to be used as a co-design generative tool for user understanding and requirements gathering.In short, the method leverages the analogy of a sailboat, and its surrounding factors, and combines it with a set of prompt questions, to create a shared understanding between the end-users and the members of the design team and to support identification of users' goals, desires, challenges and frustrations.
Evolution Analysis of Information Retrieval based on co-word network

With the development of natural language processing and artificial intelligence, remarkable progress has been made in the field of information retrieval In this paper, we selected papers on information retrieval from web of Science in the past ten years, and constructed a Co-word network based on the co-occurrence relationship of keywords in the same paper. By analyzing the evolution of the Co-word network community, the core evolution and the number of keyword status, we discussed the evolution of research focus in the field of information retrieval in the past ten years. The results show that natural language processing, medical information retrieval, image retrieval and social media retrieval are the focus of information retrieval research in recent years.
Organization of creative activities of students: aims, methodology, outcomes

Creative activities of both students of Master’s and Bachelor’s degree programs refers increasingly to scientific creativeness although it is stated that training on Bachelor’s degree program is based on competence and practical-oriented approach carried out towards preparing professional workers required at the labor market rather than researchers. The government’s fostering actions promoting student creative contests are focused on identifying and supporting young talents primarily through all- Russian student Olympiads, which have recently been the most popular statesponsored form of competitions. Nevertheless, within the frames of the Russian educational system students’ creative contests are useful and productive not only to identify and support a limited amount of young talents but to improve the quality of training for much greater number of students. Therefore, the aim of this research is to substantiate that the forms of student creative contests would be more responsive to professional specifics of Bachelor training and perform an increasing range of functions: generating of enthusiasm for learning, developing competition skills and abilities to evaluate the competence level. Moreover, the governmental educational policies should be built upon previously established organizational forms of such contests. It is distinguished that the “Olympic movement” has definite drawbacks, which was evidently proved by the results of the Olympiad conducted for bachelor students of “Advertising and Public Relations” training area. Some all-Russian creative contests for students of media communications, design and adjacent specialties were briefly reviewed. The analysis of almost ten years of the author’s experience of creative activities organization of the students of “Advertising and Public Relations” training area studying at Belgorod University of Cooperation, Economics and Law allows to examine motivation, the forms of student association work, the outcomes of the student participation in various creative contests and to address such issues as the possibility of using contests’ outcomes as an assessment measure for a competence level. The author states the fairness of such evaluation approach. Additionally, the main and the supporting effects of the association’s activities are discovered and the basic methodological approaches to this form of student creativeness promotion are defined. The student creative association, which goal is to participate in all-Russian contests of professional skills is able to face a wide range of educational challenges. Furthermore, the logic of the practically-oriented approach suggests that the initiative in organization of creative contests should belong not to universities but to non-for-profit professional associations.
UNIVERSITY CYBER SECURITY AS A METHOD FOR ANTI-FISHING FRAUD

Introduction. With the rapid adoption of computer and networking technologies, educational institutions pay insufficient attention to the implementation of security measures to ensure the confidentiality, integrity and accessibility of data, and thus fall prey to cyber-attacks. Methods. The following methods were used in the process of writing the article: methods of generalization, analogy and logical analysis to determine and structure the motives for phishing attacks, ways to detect and prevent them; statistical analysis of data – to build a chronological sample of the world's largest cyber incidents and determine the economic losses suffered by educational institutions; graphical method – for visual presentation of results; abstraction and generalization – to make recommendations that would help reduce the number of cyber scams. Results. The article shows what role cyber security plays in counteracting phishing scams in the educational field. The motives for the implementation of phishing attacks, as well as methods for detecting and preventing them, have been identified and regulated. The following notions as "phishing", "submarine" and "whaling" are evaluated as the most dangerous types of fraud, targeting both small and large players in the information chain of any educational institution. An analytical review of the educational services market was conducted and a chronological sampling of the largest cyber incidents that occurred in the period 2010-2019 was made. The economic losses incurred by colleges, research institutions and leading universities in the world were described. It has been proven that the US and UK educational institutions have been the most attacked by attackers, somewhat inferior to Canada and countries in the Asia-Pacific region. It is found that education has become the top industry in terms of the number of Trojans detected on devices belonging to educational institutions and the second most listed among the most affected by the ransomware. A number of measures have been proposed to help reduce the number of cyber incidents. Discussion. The obtained results should be taken into account when formulating a strategy for the development of educational institutions, as well as raising the level of awareness of the representatives of the academic community in cybersecurity. Keywords: phishing, cyber security, cyber stalkers, insider threat, rootkit, backdoor.
Computed Tomography Scan Orbita on suspicion of tumors in the General Hospital Haji Adam Malik: Computed Tomography Scan Orbita on suspicion of tumors in the General Hospital Haji Adam Malik

Is a collection of abnormal cell tumors formed by cells that grow continuously - and again, it is not limited, it is not coordinated with the surrounding tissue and are not useful to the body. Tumor tebagi two: namely malignant tumors (malignant) and benign tumors (benign). The eye is the optical system that focuses the light beam on the photoreceptor, which converts light energy into nerve impulses. With a tumor of the orbit will change the shape of anatomy and function of the eye that can cause vision disturbances for the sufferer. CT scan is a radiological technique to show the anatomy of the orbit and kelainannnya. The author uses the tool brands Asteion CT Scan, 4 slice. The test results showed a tumor of the orbit.
Hydrogel microchamber by two-photon stereolithography for reconstructing three-dimensional neural network

This paper describes the fabrication of an agarose gel microchamber to construct three-dimensional (3D) neural network in vitro. For the drug development aimed at improvement of neurological disease, reconstruction of in vitro 2D neural network has been studied. However, two-dimensional (2D) culture is insufficient to represent the physiological characteristics of the human body. In this paper, we fabricated the mold of 3D neural network by two-photon stereo lithography, transferred to agarose gel and removed the mold from agarose gel. We believe that our fabrication method would be able to fabricate more complex 3D neural network and be application to drug screening.
Research on WT-SVD Bilayer Filter Denoising for Downhole Signal

Abstract Aiming at the problem of singularity and mutation points after wavelet denoising with improved layered threshold when denoising the downlink signal received in the downhole in rotary steering drilling, a bilayer filtering denoising method based on singular value decomposition is proposed. This method combines wavelet denoising and singular value decomposition denoising, and adopts the WT-SVD bilayer filtering denoising method to construct a matrix of the wavelet improved layered threshold denoising signal, and then performs singular value decomposition and recovery on the matrix signal. The number of selected singular values and the structure of the reconstruction matrix were determined through experiments, and the signal waveforms, signal-to-noise ratio, root mean square error and correlation coefficients of three different denoising methods including singular value decomposition, wavelet improved layered threshold and WT-SVD bilayer filtering are compared and studied. The final experimental results show that the WT-SVD bilayer filtering denoising method is effective.
Participatory Design in Māori Cultural Contexts

The Hakituri project aims to develop practical and ethical wearable monitoring solutions for workers in hazardous industries.We identified specific challenges pertinent to our participatory design process for this project which relate to the indigenous participants, cultural expectations and data sovereignty.As we developed the ideas for our design process, further challenges became evident.In this paper we explore the challenges that unfolded and describe how we began to mitigate them and develop ideas for similar future challenges.
Sociological analysis of the idea of the goals and quality of education of students of a non-state university

The article deals with the problem of leveling the reputational damage caused to private universities by negative public stereotypes. According to the author, the work of an educational institution to create a positive image of the organization should be based on monitoring customer satisfaction with the services provided by the University. The method of identifying student’s satisfaction with the learning process at a commercial university was tested. It is revealed that the motivation for learning of the majority of respondents is based on the desire for personal and professional development. The main difficulties faced by students in the learning process are highlighted. The level of satisfaction of respondents with various components of the educational process is analyzed. There is no conflict of interests.
Online Medical Education in Nepal: Barking a Wrong Tree

To combat the global pandemic of Covid-19, the Government of Nepal declared a country wide lockdown on 24 March, 2020. The lockdown affected all the institutions, medical schools being no exception. To keep in pace with the academic calendar, most of the universities instructed their affiliated medical schools to start online classes for medical undergraduates. Kathmandu University which affiliates ten medical schools under its umbrella circulated a notice to start online classes. To facilitate this, the most important requisite is internet connection. A working device in the form of a laptop, desktop, or smartphone is needed to log in through the internet. After the lockdown, when all the medical schools closed, the students went home. We should not forget the fact that many students are from rural locality with no access to the internet at their home. The mobile internet data is costly and more data is consumed during video conferencing in online classes. The geographical remoteness further hinders the network coverage across the country.
The Research Status of Visual Place Recognition

Visual place recognition is a challenging problem in the field of Machine Vision and Robotics. Unlike image classification and retrieval, Machine Vision lags far behind humans in place recongniton. Generating image descriptors is the basic problem of VPR. They suppose to be insensitive to changes in illumination and angle of view, and can ensure the stability in the long running process. This paper summarizes the solutions of visual place recognition from two directions: traditional methods and deep learning methods. And explains the key technologies and analyzes the advantages and disadvantages of different methods also the implementation difficulties. In particular, the latest research results are introduced:Using image descriptors generated by semantic segmentation algorithms to solve VPR problems can obtain better performence. Finally, the possibility of using semantic segmentation image descriptors combined with landmark topological relations to solve VPR problems is prospected.
Reducing Privacy Risks in the Context of Sharing Photos Online

Through my doctoral research, I aim to reduce privacy risks in the context of photo-sharing online by developing tools and techniques that are both effective (in minimizing privacy risks) and usable. In solving this problem, I am taking a holistic socio-technical approach and proposing mechanisms to lessen the privacy risks of both the photo-sharers (or owners) and other people captured (sometimes unintentionally) in their photographs. More specifically, my goal is to i) design image transforms to effectively obfuscate privacy-sensitive content while preserving utility for human viewers, ii) develop techniques to automatically detect scene elements that may threaten privacy of people appearing photographs, and, iii) design behavioral interventions to persuade people to be more protective of their own and others' privacy. With my research, I hope to contribute to promoting privacy-protective behaviors and making online space more privacy-friendly
ORGANIZATIONAL COMMUNICATION PRACTICES OF A STATE UNIVERSITY IN POST INTERNATIONAL ORGANIZATION FOR STANDARDIZATION CERTIFICATION

Communication is essential in the context of organizational process because it is a way of transferring ideas to upper administration to grassroot and International Organization for Standardization is a way of improving it. It is therefore the motivation of this study to ascertain the communication processes of Isabela State University San Mariano Campus before and after the International Organization for Standardization accreditation. Descriptive Comparative research design was utilized among the 54 teaching and non-teaching staff of the said organization using the self-made questionnaire which was piloted for validity testing. For the gathering of data, the researchers floated the questionnaire to those who experience the pre implementation of the ISO certification for initial assessment then after the implementation, the researchers again floated the data gathering tool to those who participated in the study in the first phase and assessment of the respondents before and after the implementation of the ISO accreditation was compared. Mean and paired t-test were also used for the treatment of data gathered. Result shows that organizational communication processes of the University along with general practices on Vision and Mission, Documentation, Practices on Planning, Practices on Support, and Customer Communication significantly improve as manifested by the p-value lower than the set alpha value. This study therefore conclude that International Organization for Standardization-accreditation improves the organizational communication of Isabela State University  San Mariano Campus.
Using OntoLex-Lemon for Representing and Interlinking Lexicographic Collections of Bavarian Dialects

This paper describes the ongoing work in converting the lexicographic collection of a non-standard German language dataset (Bavarian Dialects) into a Linguistic Linked Open Data (LLOD) format. The collection is divided into two: questionnaire dataset (DBO) which contains details of the questionnaires, questions, collectors, paper slips etc., and the lexical dataset (WBO) which contains lexical entries (answers) collected in response to the questions. In its current form, the lexical dataset is available in a TEI/XML format separately from the questionnaire dataset. This paper presents the mapping of the lexical entries in the TEI/XML format into LLOD format using the Ontolex-Lemon model. The paper shows how the data in TEI/XML format is transformed into LLOD and produces a lexicon for Bavarian Dialects. It also presents the approach used to interlink the original questions with the lexical entries. The resulting lexicon complements the questionnaire dataset, which is already in a LLOD format, by semantically interlinking the original questions with the answers and vice-versa.
Research on Digital Copyright Infringement Based on Cloud Computing Environment

Since the popularity of the Internet, more and more people have chosen to look for the information and resources they need on the Internet. People's lives have gradually been changed by the Internet. Cloud storage brings new development opportunities, and the copyright protection issues involved in cloud storage are gradually emerging. Cloud storage has changed the original pattern among traditional information owners, disseminators and users, causing conflicts among copyright owners, cloud storage servers and information acquirers, and the problem of copyright protection has become increasingly prominent. The rapid development of network file sharing platforms such as cloud storage brings unprecedented challenges to copyright protection. The application and development of cloud storage also challenges the recognition of traditional copyright system, object and content, so we must balance the contribution of cloud storage to the exchange of information resources and protect the legitimate rights and interests of copyright holders.
Relationship Types in Visual Analytics

Visual analytics are practically an application of the task of transforming the data into meaningful and reliable information in order to synthesize the knowledge about the data. Recently, organizations collect large data with aim of extracting useful information for organizational usage for better decision making. When the organization have a large and complex information, it leads to more complex relationship between the variables in the data. As a consequence, the visual analytics representation must be able to show, visualize and handle for more complex relationship of data. However, the research found the lack of relationship research in current visual analytics that lead difficulties to guide and design new relationship representation. Thus, this research aim to recognize, discover and categorize relationships types of visual analytics in representing a set of analytical data. Design Science Research Methodology has been used as research method for this study. It consists of two activities which are i). identify the visual analytic relationship context and its challenge and ii). analysis of relationship in visual analytics representation. At the end, this study is expected to identify and categorize the visual analytics representation according to six relationship types. This identification can help the visual analytics community to understand the primary and basic concept of relationship representation as a guidelines and knowledge for more comprehensive research in the future.