Reviewerly/exHarmony huggingface dataset:
Biomedical Image Segmentation and Analysis in Deep Learning

Biomedical Image Processing, such as human organ segmentation and disease analysis, is a modern ﬁeld in medicine development and patient treatment. Besides there are many kinds of image formats, the diversity and complexity of biomedical data is still a big issue to all of researchers in their applications. In order to deal with the problem, deep learning give us a successful and effective solutions. Unet and LSTM are two general approaches to the most of case of medical image data. While Unet helps to teach a machine in learning data from each image accompanied with its labelled information, LSTM helps to remember states from many slices of images by times. Unet gives us the segmentation of tumor, abnormal things from biomedical images and then the LSTM gives us the effective diagnosis on a patient disease. In this paper, we show some scenarios of using Unets and LSTM to segment and analysis on many kinds of human organ images and results of brain, retinal, skin, lung and breast segmentation.
Data Collection Instrument in Designerly Intuition Study

The paper discusses the development of interview and focus group instruments to uncover the intuition occurrences in Designerly practices. The two data collecting method forms data source triangulation through in-depth interviews of eight experts and eight senior-level designers with four focus group sessions involving thirty-two novice-level designers. The instrument development took into consideration its reliability and validity for the triangulation analysis stage to follow. The result from four pilot interviews and one focus group discussion provides recommendation and refinement for the researcher’s guide as well as various data collection methods within the Design and Designerly research area. Keywords: Designerly, Intuition, Design Thinking, Research Instrumentation eISSN: 2398-4287© 2021. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning &amp; Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v6iSI5.2925
Problematic Content in Spanish Language Comments in YouTube Videos about Venezuelan Refugees and Migrants

On YouTube, we found extensive content relating to the recent Venezuelan refugee movement that mostly affects neighboring countries like Peru and Ecuador. While there are several studies on general hate speech on social media, only a few have focused on the online discussion of the Venezuelan migration crisis representing the Latin American perspective. Here, we analyzed via manual coding and computational text analysis 235,251 comments from 200 YouTube videos (selected according to theoretical criteria) in the Spanish language on the Venezuelan refugee crisis. In our sample, we found a high number of problematic comments in videos on Venezuelan refugees and migrants, of which 32% were offensive comments and 20% were hateful comments. The most common linguistic patterns revealed references to xenophobic, racist, and sexist content, and showed that offensive content and hate speech are not easy to separate. Only a small amount of around 8% of highly active users is responsible for about 40% of the problematic content and these users actively comment on multiple videos, indicating a network structure in our sample. Our results enlighten a much-neglected topic in the discussion about Venezuelan refugees and migrants on YouTube and contribute to an enhanced understanding of online hate speech from a Latin American perspective for better and early detection.
Deep Rendering Graphics Pipeline

The graphics rendering pipeline is key to generating realistic images, and is a vital process of computational design,modeling, games, and animation. Perhaps the largest limiting factor of rendering is time; the processing requiredfor each pixel inevitably slows down rendering and produces a bottleneck which limits the speed and potential ofthe rendering pipeline. We applied deep generative networks to the complex problem of rendering an animated 3Dscene. Novel datasets of annotated image blocks were used to train an existing attentional generative adversarialnetwork to output renders of a 3D environment. The annotated Caltech-UCSD Birds-200-2011 dataset served asa baseline for comparison of loss and image quality. While our work does not yet generate production qualityrenders, we show how our method of using existing machine learning architectures and novel text and imageprocessing has the potential to produce a functioning deep rendering framework.
Application of Blockchain Technology based secured online voting system

Election is a very important part of the modern democracy. But most of the people around the world do not trust the current flawed electoral system. There are many issues in current voting system such as vote manipulation, central database hacking, EVM hacking and many more. So in this paper we are trying to solve the above mentioned issues by proposing e-voting model which give fundamental benefit over current voting system. Blockchain technology is used to implement the proposed model which promises the security, transparency and cryptography. There are many blockchain framework which give blockchain as service, and some are explained in the paper. The paper presents the details of proposed system and how it is implemented using Ethereum blockchain.
Study on How to Improve Media Literacy in College Foreign Language Teaching in the New Era

Nowadays, the number of foreign language graduates in colleges and universities transforming into the field of media is on the rise, which is attributed to the rapid development of the emerging media industry and the strong demand for international media talents.In view of this social phenomenon, college foreign language teaching should also keep pace with the times, actively incorporate media literacy education into the training system, improve students' media literacy in multiple ways, and constantly export international media talents to the society on the basis of foreign language plus media.
Rancang Bangun Sistem Informasi Employee Attendance pada PT.TNT Skypak Internasional

PT.TNT Skypak Internasional is a foreign company doing business in Indonesia and is located in the Soekarno-Hatta airport area. PT.TNT Skypak Internasional focuses on export and import freight forwarding. Currently there are problems in the employee attendance process / Employee Attendance, because it is still being run manually, so the Employee Attendance data retrieval is time consuming and time inefficient. For this reason, a website-based Employee Attendance information system is needed as a solution to the problems that occur at PT.TNT Skypak Internasional. The research method used is Data Collecting Methods such as Observation, Interview and Library Research, then the design analysis method uses UML diagrams and database design with PHP and MySQL. The research results of this journal paper are Website-based Employee Attendance Information System Design to be applied to PT.TNT Skypak Internasional.
Human Motion Recognition Based on Multimodal Characteristics of Learning Quality in Football Scene

The task of human motion recognition based on video is widely concerned, and its research results have been widely used in intelligent human-computer interaction, virtual reality, intelligent monitoring, security, multimedia content analysis, etc. The purpose of this study is to explore the human action recognition in the football scene combined with learning quality related multimodal features. The method used in this study is to select BN-Inception as the underlying feature extraction network and use uncontrolled environment and real world to capture datasets UCFl01 and HMDB51, and pretraining is carried out on the ImageNet dataset. The spatial depth convolution network takes image frame as input, and the temporal depth convolution network takes stacked optical flow as input to carry out human action multimodal identification. In the results of multimodal feature fusion, the accuracy of UCFl01 dataset is generally high, all of which are over 80%, and the highest is 95.2%, while the accuracy of HMDB51 dataset is about 70%, and the lowest is only 56.3%. It can be concluded that the method of this study has higher accuracy and better effect in multimodal feature acquisition, and the accuracy of single-mode feature recognition is significantly lower than that of multimodal feature recognition. It provides an effective method for the multimodal feature of human motion recognition in the scene of football or sports.
ON THE CLASSIFICATION OF HUMAN CAPITAL

Purpose of the research: based on theoretical analysis, to develop a classification and structure of human capital, allowing for its development most optimally. The structure of human capital, proposed by the authors and considered in this article, consists of 5 main components, namely, demographic capital, educational capital, labour capital, research capital, socio-cultural capital. Along with the proposed structure of human capital, 8 third-party human capital structures by various authors were analyzed. To confirm the uniqueness of the human capital structure proposed by the authors, 25 state programs implemented in the Sverdlovsk region were analyzed. In this study, the authors propose their own classification of human capital, which meets modern realities and can be digitized for each item, which makes it possible to directly influence labour productivity in several aspects. Also, an important conclusion of this article is the need to develop educational and research capital, since these components of the proposed structure play an important role in innovative and economic development. The study's theoretical significance consists of proposing a new classification of human capital, which fully reflects its essence from different angles. Based on this, it allows formulating new hypotheses for the development and improvement of human capital. The practical significance lies in the relevance of the proposed structure for the next 10-15 years and specific recommendations for the development of educational and research capital in the Sverdlovsk region and other regions of the Russian Federation.
ANALISIS BUTIR SOAL UJIAN AKHIR SEMESTER MATA KULIAH PENGANTAR PENYUNTINGAN

This study aims to describe the quality of the odd semester final exam items for the Introduction to Editing course for the 2020/2021 academic year at the Indonesian Literature Program, Universitas Negeri Semarang. This research is a quantitative research with descriptive method. The research subjects were 60 students. Data collection techniques were carried out by documenting. Quantitative data analysis based on level of difficulty, discriminating power, quality of distractors, validity, and reliability with 100 questions. The results of the analysis show that the quality of the odd semester final exam items in the Introduction to Editing course has a moderate level of difficulty, sufficient discriminating power, and very good distracting qualities. In addition, there are 68 valid items and 0.78 reliability in the high category. The conclusion of the study is that the odd semester final exam items for the Introduction to Editing subject need to be revised to improve the quality of the items.
PROBLEMS IN VIETNAMESE-ENGLISH TRANSLATION OF RELATIVE CLAUSES FOR ENGLISH-MAJORED JUNIORS AT TAY DO UNIVERSITY, VIETNAM

Realistically, Vietnamese-English translation is not easy for Vietnamese students to master, and relative clauses are not typical in Vietnamese. Therefore, learners cannot avoid mistakes in their translation practice. Concerned researchers carried out a study to identify common Vietnamese-English translation errors in terms of English relative clauses. The participants were 60 juniors from the Bachelor of English course at Tay Do University. Test papers and interviews were employed as the instruments. The collected data from the two instruments mentioned above were all analyzed carefully afterward. The results of the study showed that the students suffered from a variety of grammar and vocabulary problems hindering them from translating Vietnamese into English correctly.&#x0D; &#x0D; &lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0887/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
Your New IEEE Spectrum Website: An Enhanced Member Experience is Central to the New Spectrum Website

If you're reading this in the physical pages of IEEE Spectrum, there's a good chance you don't visit our website much, if ever. We get it. Up to now, there hasn’t been a particular reason to visit if you’re satisfied dipping into the pages of Spectrum on a monthly basis. So with the generous support of the IEEE New Initiatives Committee, we’ve designed an experience around IEEE members both current and future. We’re running on one of the Web’s fastest platforms, RebelMouse, to deliver beautifully textured screens studded with stunning photography and engrossing infographics to surround our award-winning journalism and columnists like Rodney Brooks, Vaclav Smil, and Allison Marsh. For this new site design we were fortunate to work with the artists at Pentagram, who were also responsible for the recent redesign of our print edition
DEVELOPMENT OF LEARNING MEDIA FOR THE GAME OF SNAKES AND LADDERS TO INCREASE STUDENTS LEARNING INTEREST IN THE PPKN SUBJECT FOR CLASS III SD NEGERI 024776 BINJAI

This study aims to produce an innovative learning media product by developing learning media for snakes and ladders to be applied in the learning process. In this research the product is first validated by media experts and material experts. As well as assessment of responses from teachers and students. Products in the form of learning media for the game of snakes and ladders will be tested first in small groups and then in limited groups. The objectives of this study were (1) Obtaining the feasibility, practicality, and effectiveness of the snake and ladder learning media in PPKn subjects in class III SD Negeri 024776 Binjai from material experts and media experts, (2) Knowing the differences in interests and learning outcomes of students who use and not. using snake and ladder learning media in PPKn subjects in class III SD Negeri 024776 Binjai. Development This research was developed with the ADDIE development model, starting from the analysis, design stage, development stage, implementation stage, and evaluation stage. Based on the results of the analysis of experts consisting of material experts with an average value of 82.26, it means that it is very valid and with media experts with an average value of 89 it means very valid. The percentage value of classical completeness obtained by students in the pretest and posttest of the experimental group experienced a high increase, namely 40% to 95%, with an average pretest score of 59.00 and an average posttest score of 81.25. So that it has met the criteria for classical completeness and the learning media products have met the indicators of effectiveness and are suitable for use.
Information security governance in the electricity industry

Goal: This study aims to assess the importance and use of Information Security (IS) governance in the electricity industry and other segments, in order to propose IS governance guidelines for this industry.&#x0D; Design/methodology/approach: Literature review was made of scientific articles, frameworks and norms that supported the field research applied to managers, coordinators and experts from IS area, totaling 104 respondents from different countries. The data collected were analyzed by comparing the degree of importance with the use, and also by means of cross-analysis.&#x0D; Results: It was observed that most respondents agree with the importance of the themes approached, however, in practice, these concepts are not always used by the organization. Besides, it was observed that when security is directly responding for the high level of the organization, the maturity level is between optimized and managed. However, where security is subordinated to the technology area, the level appears with higher percentage, as repeatable.&#x0D; Limitations of the investigation: The sample size is a limiting factor as it was conditioned to questionnaire responses sent to IS experts through electronic means and social networks and it is not possible to generalize as the population size is not known.&#x0D; Practical implications: To assist the electricity industry in taking measures turned to IS governance, and, with that, increase consumer protection with regard to their classified data and the company’s reliability in power supply.&#x0D; Originality/value: The present research originality lies in the proposal of 10 IS governance guidelines obtained from the literature review and the field research applied to IS experts, aiming to raise, more and more, its level of maturity.
A Rapid and Simple Method for Determination of Uranium in Gattar Area by ICP-OES

This experiment was carried out to determine Uranium in a geological samples collected from Gattar area, North Eastern Desert of Egypt which examined by scanning electron microscope (EDX) to be characterized by hematization, silicification, muscovitization and fluoritization which are the most dominant alteration associated with the uranium mineralization. Inductively coupled plasma optical emission spectrometry (ICP-OES) was used for this study. Two methods of digestion of samples were used in the experiment and four emission lines were selected for uranium to choose the more sensitive one. The physical parameter conditions were adjusted by using standard solution of uranium to be 1200 W for RF power current, 35 psi for nebulizer gas pressure and 18 L/min for coolant gas pressure. The interference effect of some elements was studied on the selected line and showed that, the determination of uranium by ICP-OES is affected seriously by iron, aluminum, calcium, thorium and rare earth elements. The results of uranium determination at 303.199 nm with precipitation method were compared with the results from XRF method which shown acceptable accuracy and low time consuming other method.
Evaluasi Pengendalian Persediaan Terhadap Hasil Stock Opname Melalui Sistem Informasi Akuntansi Pada Gota Minimarket

This study aims to evaluate inventory control on the results of stock opname through the Accounting Information System and to analyze the causes of the difference in stock at Gota Minimarket. In this study using a descriptive qualitative method with a case study approach to describe inventory control of the results of stock opname through the Accounting Information System. The primary data source is obtained by conducting interviews with managers, purchase order admins, goods receiving officers, and area coordinators. Meanwhile, secondary data is obtained through documentation, trough data collection related to merchandise inventory. The Accounting Information System applied by Gota Minimarket in controlling inventory is good enough. This is evident from all activities in its operations, in terms of ordering and purchasing goods, receiving goods, inputting goods, requesting goods to the mutation of warehouse goods that have been carried out through the Information System.However, employee negligence often occurs, causing a difference in stock opname.
Introduction to the Special JeSLIB Issue on Data Curation in Practice

Research data curation is a set of scientific communication processes and activities that support the ethical reuse of research data and uphold research integrity. Data curators act as key collaborators with researchers to enrich the scholarly value and potential impact of their data through preparing it to be shared with others and preserved for the long term. This special issues focuses on practical data curation workflows and tools that have been developed and implemented within data repositories, scholarly societies, research projects, and academic institutions.
A Comparative Study of Various Smart Phone Keypad Typing Errors and Its Types for Punjabi Language

The Growth of the mobile devices has currently formed a massive number of textual communications. The life of everyone is now soaked with textual information and exchanges through such as e-mails, chats, social media texts, SMS and so on. Here this paper is designed to study on various Gurumukhi mobile typing text errors using Smart phones keypads. Nowadays various smart keypads are available for Punjabi typing are been built such as Samsung Keypad, iPhone (standard and phonetic keypad) and Swiftkey keypad etc. These keypads help users by giving multiple suggestions for the next possible word. The various typing errors we studied are like Insertion error, deletion errors, omitted errors etc.
A WSM-based Comparative Study of Vision Tracking Methodologies

Vision tracking is a key component of a video sequence.It is the process of locating single or multiple moving objects over time using one or many cameras.The latter's function consists of detecting, categorizing, and tracking.The development of the trustworthy solution for video sequence analysis opens up new horizons for a variety of applications, including intelligent transportation systems, biomedical, agriculture, human-machine interaction, augmented reality, video surveillance, robots, and many crucial research areas.To make efficient models, there are challenges in video observation to deal with, such as problems with the environment, light variation, pose variation, motion blur, clutter, occlusion, and so on.In this paper, we present several techniques that addressed the issues of detecting and tracking multiple targets on video sequences.The proposed comparative study relied on different methodologies.This paper's purpose is to list various approaches, classify them, and compare them, using the Weighted Scoring Model (WSM) comparison method.This includes studying these algorithms, selecting relevant comparison criteria, assigning weights for each criterion, and lastly computing scores.The obtained results of this study will reveal the strong and weak points of each algorithm mentioned and discussed.
Formation of leadership qualities of the director of theatrical performances and holidays

The article is devoted to the topic of the formation of leadership qualities of the director of theatrical performances and holidays. The director must have not only professional competencies, but also be mobile, be able to adapt to changing proposed circumstances, accept and analyze incoming information, and can optimally solve emerging problems. Today, in the field of creative activity, the director must have the ability to lead more than ever, he must productively lead the creative team, which includes both the production group and the artistic workshop. The article deals with the problems of leadership and leadership qualities, the theoretical aspects of the formation of the director’s leadership qualities, the leadership qualities of the director of theatrical performances and holidays, as a means of improving the creative activity of the production group