Reviewerly/exHarmony huggingface dataset:
Deceptive Self-Presentation: The Role of Social Media User Motivation and the Dark Triad Personality

Online identity frauds such as love scams, catfishing, and fake content are associated with the freedom of personalization offered by social media platforms which can lead to deceptive self-presentation behavior and impressions. Therefore, this research aimed to examine the role of motivation to use Instagram and the dark triad personality on deceptive self-presentation. It was conducted quantitatively through structural equation model (SEM) analysis based on partial least squares (PLS) using data collected from 400 early adult Instagram users between the ages of 20 and 34 years in Indonesia. The results showed that motivation to use Instagram and the dark triad personality influenced deceptive self-presentation by 30.9% on ideal self-dimension and 41.9% on false self-dimension. Moreover, motivational dimensions of gaining new friendships, following and monitoring, social connectedness and social recognition had a significant influence on deceptive self-presentation. In the dark triad personality variable, only the narcissism dimension was observed to have a significant influence on deceptive self-presentation.
An Analysis of Errors in Resumes and Job Application Letters: The Study of Malaysian Undergraduate Students

Writing a resume and cover letter is essential, especially for fresh graduates, as these documents are crucial for pursuing their desired careers after completing their studies. The unemployment rate in Malaysia, coupled with the economic downturn brought about by COVID-19, is set to increase competition between new graduates and more experienced job seekers. The formatting of these documents, which must be correctly formatted and without errors, is critical because employers usually review resumes and cover letters as an initial screening for candidates. In developing the checklist for the corpus analysis for this research, the researchers adopted the Error Analysis (EA) framework by Corder (1973). The present study addresses this issue by examining the errors in resumes and cover letters produced by Malaysian undergraduates. The research employed the corpus linguistics approach by gathering 60 resumes and 60 job application letters to identify errors using the Error Analysis (EA) framework. The findings showed that students' common errors were misselection, addition, omission, blends and misordering. The most prominent error found in the data was misselection. In the context of intense job competition among recent graduates in Malaysia, this study emphasises the significance of impeccably crafted resumes and cover letters. It offers valuable insights into making job applications more effective and practical. The findings of this research have the potential to serve as a valuable guide for undergraduate students, which will allow them to develop compelling and relevant content for job applications.
Facebook spamming among teenagers and its impact on the learning activities at the Madrasah Islamiyah Pangkah Kulon, Ujungpangkah, Gresik

This article examines the phenomenon of teenage students spamming through Facebook and the impact on their learning activities at Madrasah Tsanawiyah Islamiyah and Madrasah Aliyah Islamiyah, Gresik, Indonesia. This research uses qualitative research methods with a phenomenological approach, and the technique in determining informants is using purposive sampling techniques, and the method in collecting data itself is done through observation and interviews. As a reference in analyzing data and explaining related phenomena in this study, namely using Max Weber's Theory of Action. The results of this study show that students who commit spamming actions are motivated by the economic conditions of their families due to the pandemic and distance learning, as well as the influence of the actions of their friends and the environment around them, with some of the effects experienced by them, namely, often losing focus on learning, not paying attention to class and even sleeping in class during class hours, and skipping class, up to dropping out of school.
Multiculturalism transformation in the technological age: Challenges and opportunities

This article discusses the transformation of multiculturalism in the technological age,focusing on the challenges and opportunities. Technology's ability to connect people from different cultural backgrounds extends the reach of multiculturalism, enabling the exchange of ideas, values, andexperiences. However, challenges suchas cultural appropriation and differing interpretations can threaten respect for cultural diversity. Unequal access to technology can lead to inequalities in cultural participation and digital literacy, widening the gap between social groups. To meet this challenge,efforts are needed to ensure equal access to technology and digital inclusion for all groups. However, the technological age also offers opportunities for multiculturalism. Digital technology can be a tool to promote constructive intercultural dialogue, increase knowledge of other cultures and builddeeper understanding. It is important to develop applications and platforms that strengthen fair and respectful cultural exchange. To meet the challenges and seize the opportunities, holistic policies and approaches are needed to develop multiculturalism in the technological age. Governments, civilsociety organizations and civil society must work together to promote digital inclusion, support digital and intercultural literacy, and develop regulations that encourage the responsible use of technology.
AiA-UNet: Attention in Attention for Medical Image Segmentation

In medical image segmentation, U-Net has consistently played a vital role. Recently, the U-Net networks based on the Vision Transformer (ViT) architecture have become more and more popular. ViT exhibits superior capabilities in handling long-range dependencies and capturing global contextual information. However, it requires significant computational cost, and does not explore the optimal matching and the potential dependencies between different patches. To address the aforementioned issues, we propose a novel network framework, called AiA-UNet, for medical image segmentation. The AiA-UNet makes two main contributions. A convolutional self-attention mechanism is proposed to replace the self-attention module in ViT, effectively reducing computational complexity. Moreover, an Attention in Attention module (AiA) is applied within the ViT block. Experimental results on the Synapse multi-organ segmentation dataset demonstrate that AiA-UNet outperforms Trans-UNet by 5.40% and Swin-UNet by 3.75%. Code and models are available at https://github.com/xiaoqin1998/AiA-UNet.
Building Bridges: Universitas Multimedia Nusantara's Experience in Strengthening Academic Relationships through a Social Community Media Approach

Universitas Multimedia Nusantara has thousands of academicians and several academic or non-academic organizations. Some of these things allow the potential for increased social relationship connections between the academic community and the intensity of receiving and disseminating information, especially for students. Through a survey of students, there are examples of confirmed problems regarding the receipt and dissemination of information such as the lack of exposure of student work, the location of wall magazines that are difficult to find, information on student emails that are less relevant, time-consuming searches for coursework respondents, and the number of social media accounts of organizations that must be searched on different social media platforms to get information. Therefore, the design and development of a social community media website utilizing the Rapid Application Development method, a rapid prototype system development model with the stages of planning, design workshop, and implementation. The focus of the research is the backend system. The backend system design utilizes draw.io to create flowcharts and supabase schema for entity relationship diagrams, while the system development utilizes javascript with next js as the system development tool while system development utilizes javascript with next js as a framework and supabase as the system database. Backend media website backend of the social community media website was successfully designed and built and received User Acceptance Testing results with an acceptance rate of 88.08% for the perceive usefulness and 88.67% for the perceive satisfaction variable, which means that users strongly agree that the function of the social community media website system has fulfilled the two elements of the variable.
Performance Analysis of the Edge-Preservation based Normalized Convolution for Medical Image Enhancement and Noise Reduction

Acquired medical images often contain noise due to various factors that affect image quality. The noisy image indicates the presence of inappropriate information or loss of original information due to changes in the pixel values. For diagnosis purposes, the acquired or noisy medical image needs to be reconstructed to obtain an enhanced image or denoised image for a better decision. One of the techniques to enhance or reduce the noise can be performed by normalized convolution to interpolate the change of pixels in the original image. This paper is presented to investigate the feasibility of the normalized convolution filter to enhance and reduce medical image noise. The study was performed through experiments using several types of medical images, namely Brain MRI, Breast Ultrasound, Chest X-ray, Retinal OCT, Mammogram, and RSNA Bone Age images. Experimental results show that the normalized convolution could produce an enhanced image with sharper contrast. In the image enhancement, the enhanced image obtained by this filter achieves 41.12 dB on the PSNR average. In the medical image denoising, the normalized convolution could produce better visual quality to reduce the Gaussian, Salt & Pepper, Poisson, and Speckle with PSNR averages are 28.43dB, 32.82dB, 32.49dB, and 29.30dB. This method also outperforms basic image denoising filters, such as Imbox, Wiener, and Median Filterings. Hence, this filter could be used as an alternative for medical image preprocessing, such as image enhancement and noise reduction.
Thrombus Segmentation in Ultrasound Deep Vein Thrombosis (DVT) Images using VGG16 and UNet based on Denoising Filters

Deep Vein Thrombosis (DVT) is a disease that occurs when a thrombus forms within the deep veins. This thrombus can disrupt normal blood flow and lead to severe issues if left untreated. The dataset used in this research consists of 2D ultrasound images of thrombus from 5 patients with DVT. Medical specialists used ultrasound equipment to gather and document the dataset. A medical practitioner performed the manual labeling of ultrasound thrombus images. Manual thrombus diagnosis requires a considerable amount of time, and the accuracy of thrombus image analysis relies on specialized doctors. Hence, an automatic thrombus diagnosis is needed for DVT patients to shorten the time and enhance the accuracy of thrombus image analysis. This research proposes thrombus segmentation in ultrasound images using pre-trained VGG16 and UNet model based on denoising filters. The encoder for the UNet model in this segmentation model is a pre-trained VGG16 model. In this study, five denoising filters are utilized. Based on the conducted experiments, the Gaussian filter yielded the most optimal results for thrombus segmentation with an accuracy of 99.166% and a loss value of 0.0269 for the UNet model. Furthermore, the pre-trained VGG16 and UNet model’s accuracy was 99.222%, and the loss value was 0.284. Thrombus prediction tests using the UNet model resulted in a mean IoU of 77.087%, a mean Dice coefficient of 0.8608, and a mean Hausdorff distance of 3.44. Meanwhile, thrombus prediction tests using the pre-trained VGG16 and UNet model produced a mean IoU of 88.298%, a mean Dice coefficient of 0.8784, and a mean Hausdorff distance of 3.07. As a result, utilizing VGG16 as the encoder in the UNet architecture may enhance accuracy when segmenting.
Generative Adversarial Network with Patch Selection for Deformable Registration of Medical Images

Image registration is a fundamental topic in medical image research. Traditional registration methods have a large computational cost and longtime consumption in the optimization process. Recently, learning-based registration frameworks have not only improved computational speed but also greatly enhanced registration performance. However, local registration accuracy is often difficult to maintain during registration for images with complex deformation. Therefore, we proposed a generative adversarial network with an image patch selection strategy and attention block. The discriminator applies additional regularization to image patches with complex deformations, while improving overall registration accuracy. We also introduced the anti-folding and smoothness loss in the registration network to generate reasonable deformation fields. The experimental results demonstrate that compared with some current studies, the proposed method achieves better registration performance, especially in regions with complex deformations.
Automatic Generation of Empathy Maps

Empathy Maps (EMs) are broadly used in UX and Design Thinking. They can be seen as a useful tool to help developers get a better understanding of the user's requirements. During the interaction design, it is important to have a thoroughgoing knowledge of what the user wants, which might be difficult to gather or portrait to others somehow. In this sense, EMs provide a visual representation of the user's information, attitude, and behavior. Nevertheless, creating such EMs can become tedious, as this usually requires the involvement of a group of people, with expert knowledge, in-deep analyzing the information elicited from the user. In this paper, we present a tool for the automatic generation of EMs. This comprises a web tool aimed to automatically generate an Empathy Map from an audio interview with the user by using machine learning technology. More specifically, this paper reports on the architecture, a use case, and a validation with numerical evidence to corroborate the feasibility of the proposal presented.
Creative Development of Older Preschoolers and Primary School Students at Art and Craft Classes in Institutions of Non-Formal Education

The article deals with the analysis of theoretical generalizations and the current state of the practice of creative development of older pre-schoolers and primary school students.The purpose of the article is to reveal the content and methods of creative development of older preschoolers and primary school students in art and craft classes in institutions of non-formal education.The specified goal determined the setting of the following tasks: to carry out a methodological description of the educational program for creative development of older preschoolers and primary school students based on general pedagogical principles of creating age-related content; to determine the prospects for further research on the problem.To solve the problems, the following methods were used: general research methods (analysis, synthesis, systematization, classification, comparison, generalization), content analysis of the educational program and expected results of the educational process.The analysis of theoretical sources and the current educational practice of the formation of 5-7 years old students’ creativity made it possible to identify contradictions between: the objective need of society for education of a creative personality and the insufficient degree of solving the relevant issues in the educational environment; the necessity to develop older preschoolers and primary school students’ creativity and the imperfection of the theoretical and methodological foundations for solving this problem; the high potential that child development centres have for the formation of older preschoolers and primary school students’ creativity and the lack of appropriate scientific and methodological support.The article describes the educational program and techniques of creative development of older preschoolers and primary school students in art and craft classes in institutions of non-formal education. The educational program consists of four blocks based on a systemic approach: “Development of Imaginative Thinking”; “Development of Logical Thinking”; “Development of Fine Motor Skills”; “Development of Imagination and Memory”. The conclusions emphasize that implementing the authors’ technique of creative development of preschoolers and primary school students has become a factor in creative development, emotional receptivity, imagination, and independent ways of action.
Іnstrumental and Methodological Aspects of Art Therapy in Modern Educational Practice

The article examines the essence and means of the phenomenon of "art therapy" and determines its possibilities in the modern educational process of domestic school and extracurricular educational institutions. The purpose of the article is to analyze the data obtained as a result of theoretical and empirical research to clarify the development of the necessary methodical material for implementation in practical pedagogical activity. To achieve the goal and objectives of the article, the following research methods were used: analysis of scientific and methodical literature on the research problem (for the purpose of comparing ideas, proposals, conclusions in the works of researchers with the obtained research results); questionnaires, observations, comparisons; analysis and generalization of the data obtained in the research process.The psychological, pedagogical, social, communicative, personal, creative, methodical aspects of art therapy are justified. The content of one of the popular and effective forms of “art therapy” – art photography – is characterized. The main functional features of artistic photography are revealed and analyzed (updating, objectifying, stimulating, expressive-cathartic, dynamic, meaningful, organizing (integrating), interactive). The possibilities of artistic photography are presented as means of enrichment of social, communicative, and patriotic experience widely used in the world educational practice through the manifestation of the creative potential of each growing personality.The conclusions emphasize that in the current conditions of martial law in our country, active implementation of forms and methods of art therapy should be carried out in modern educational institutions. At the same time, the implementation of the acquisition of skills and abilities by Ukrainian children and youth in various exercises of value-oriented, national-patriotic and creative education and purely peace-making means should be especially relevant.
Academic Investigation and Correction of Error in [Bibliographic Study on Changgi of Joseon Dynasty] by Yang Taejin (1992): Focusing on Errors in [Records of Gisaeng and Prostitute]

This study used the resources and related data of the time to investigate various academic errors and distortions found in the [Bibliographic Study on Changgi of Joseon Dynasty] by Yang Taejin (1992), which is the first bibliographic study on the [Records of Gisaeng and Prostitute] and corrected the relevant errors.&#x0D; The [Bibliographic Study on Changgi of Joseon Dynasty] considerably degenerates the fundamental characteristics of the [Records of Gisaeng and Prostitute] because it mixes “documents related to Gisaeng” and “documents related to prostitute” illogically, such as “prostitute quarter,” “Gisaeng,” “prostitute”, “forced prostitution,” “Gisaeng Control Document” by the Resident-General, “unofficial story,” and “a series of documents to control and monitor the Gisaeng in Seoul.” The [Bibliographic Study on Changgi of Joseon Dynasty] also largely distorted the historical fact that the Gisaeng was a professional entertainer under the “Modern Gisaeng System” and that the prostitute was a professional prostitute under the “Licensed Prostitution System” when they were recorded in the [Records of Gisaeng and Prostitute] in the past.&#x0D; Moreover, the academic errors and distortions of the [Bibliographic Study on Changgi of Joseon Dynasty] are still posted on the websites of the “National Archives of Korea” and the “ National Archives of Korea, Government-General of Korea Records” without any verification or doubt. They are open to relevant researchers and even the general public. Thus, it is necessary for each website to correct the [Records of Gisaeng and Prostitute] based on items that are pointed out and corrected in this study and deliver and provide the correct and accurate information of the [Records of Gisaeng and Prostitute] to the public.
Pengembangan Instrumen Penilaian Berbantuan Wordwall pada Materi Sistem Koordinasi untuk Siswa Kelas XI IPA

This research is a type of research and development (Research and Development or R &amp; D) using the ADDIE Branch development model. The aim of this research is to produce a product in the form of a wordwall-assisted assessment instrument on coordination system material for class XI Science students at MA Negeri 2 Jember. The assessment instrument developed contains multiple choice questions (multiple choice) type Higher Order Thinking Skills (HOTS) questions on the coordination system material. The research results show that the validation obtained from experts has been matched with the validation score criteria, material expert validation results are 88.12% (very valid), evaluation expert validation results are 95.55% (very valid), language expert validation results are 86.66 % (very valid), and the results of practitioner validation by teachers were 94.72% (very valid). Meanwhile, the results of student responses were: 1) small scale trial stage 83.17% (very interesting); and 2) large-scale trial phase 85.1% (very interesting). The results of the question item validation test were: 1) 20 of the 25 question items were declared valid with a value of rcount &gt; rtable; 2) the overall reliability value of the questions is 0.792 (high); 3) the level of difficulty of the items in the easy, medium and difficult categories; and 4) the distinguishing power of items in the very good and quite good categories. The wordwall-assisted assessment instrument on the coordination system material was proven to be effective for class 05). Based on the results of this research, it can be concluded that the wordwall-assisted assessment instrument product is categorized as very valid, very practical and effective.