Reviewerly/exHarmony huggingface dataset:
Jak to jest być nietoperzem w wirtualnej rzeczywistości? Technologia VR jako narzędzie do doświadczania perspektywy innego

Knowing the subjective perspective of other agents, how the world manifests itself to them, through the prism of their specific embodiment and situated, remains beyond the limits of our direct cognition and sometimes even imagination. Simulations using virtual reality technology (VR) can partially bring us closer to the embodied perspective of other agents. This technology enables the experience of another body, as one’s own and causal, during the phenomenon of virtual embodiment. The user can be situated in a simulated environment specific to the agent and experience it through the prism of modified sensory modalities (e.g., using the sense of echolocation in the case of a bat). However, the possibilities of simulation are significantly limited by technological and biological factors. The purposes of this text are to review currently developed simulations of being another agent and to analyze the potential of VR technology to experience the embodied perspective of other agents as one’s own.
LEVERAGING COMPUTER SCIENCE FOR ENHANCED CYBERSECURITY

Currently, the majority of international economic, commercial, cultural, social, and governmental contacts and activitiesâ€”including those of people, non-governmental organizations, governments, and governmental institutionsâ€”are conducted online. Recently, cyberattacks and the risk of wireless communication technology have become issues for many commercial businesses and governmental institutions throughout the world. The modern society is heavily reliant on electronic technology, thus safeguarding this data from cyber-attacks is a difficult problem. The goal of cyberattacks is to financially hurt businesses. Cyberattacks may also serve military or political objectives in other circumstances. PC infections, knowledge gaps, data distribution services (DDS), and other attack vectors are a few examples of these harms. In order to protect harm from cyberattacks, numerous organizations employ a variety of measures. Researchers from all around the world have up till now offered a variety of techniques to stop cyberattacks or lessen the harm they inflict. Some of the approaches are now being used, while others are still being studied. The purpose of this study is to examine and thoroughly analyze the standard advancements made in the area of cyber security as well as to look into the difficulties, advantages, and disadvantages of the suggested approaches. The several new descendant assaults are discussed in depth. The history of early-generation cyber-security techniques are explored together with standard security frameworks. Additionally, new advancements in cyber security, security concerns, and dangers are discussed. It is anticipated that the thorough review study offered to researchers in IT and cyber security will be useful.
The Bitcoin Market and Post Covid-19: Empirical Evidence from Asian Countries

Our paper aims to scrutinize the COVID-19 indicators and blockchain (BC) features on the returns of Bitcoin. This paper focus on the most owned and used cryptocurrencies in Asian countries. The ARDL panel is used for hypothesis testing. Random effects modeling (REM) and Generalized Moment Method (GMM) were utilized to scan the robustness of the results. Two newly discovered results have divulged; firstly, Vaccine Confidence Index (VCI) boosts economic recuperation and increases Bitcoin returns. Secondly, disclosed block chain size is required for Bitcoin. Despite the uncertain post-Covid-19 conditions and the unregulated crypto market, the government plays an important role, significantly driving the economic recovery. This benefits policymakers and investors.
Experiences and Pedagogical Reflections on Virtual Teaching Practice in Mexico

Digital platforms help us establish sociocultural and educational communication with the ethical other. They have facilitated pedagogical follow-up for our students during the pandemic period through the intermediation of the digital interface and the emerging pedagogical mediation of students’ parents. With the purpose of acquiring data regarding the everyday experiences of teachers during the COVID-19
Using Biometrics to Fortify E-learning Platforms Security

E-learning is here to stay. During the COVID-19 pandemic, more than 1.2 billion students were educated through online learning. Platforms such as Zoom, Webex, Skype, Microsoft Teams, Google Meet, etc. were among the most popular ones during that period. However, these platforms suffer from various vulnerabilities that make them susceptible to cyberattacks, including Man-in-the-Middle attacks
A Qualitative Evaluation of an AI-Supported Quiz Application to Assess Learning Progress

In a current research project at the Ansbach University of Applied Science, an AI-based quiz function was created to serve as a voluntary student-oriented support offer to determine their learning progress in their respective courses by means of conducting self-assessment quizzes. The application takes lecture scripts as input and applies a question generation model to
Exploring AI in Education: A Quantitative Study of a Service-Oriented University Chatbot

The following paper presents the evaluation of an artificially intelligent assistant system (DIAS) with a service-oriented chatbot as a central communication element. The conversational AI (Artificial Intelligence) is supposed to increase information transparency in higher education environments and thus support students, teachers, and administrative staff. The exploratory study had two objectives: first, we intended to
Alternative Method for OTP based Authentication in Areas with Weak Mobile Signal

Abstract: The rapid development of Internet-based applications and services has made websites a crucial part of our lives. More and more users are using online office services instead of desktop office software, online social services to engage in social activities, online information boards to post their business products, and online shopping to do their purchasing. To make all these online activities more secure One Time Password (OTP) are used. Due to weak mobile signal receiving this OTP becomes difficult.
Memperkenalkan Tool Perisian Adobe Photoshops dalam Kalangan Pelajar Multimedia menggunakan Augmented Realiti

Aplikasi ini memperkenalkan tools perisian Adobe Photoshop dalam kalangan pelajar Multimedia, yang dibangunkan adalah bertujuan untuk membantu pelajar Multimedia untuk mengenali tools perisian Adobe Photoshop dengan cara yang lebih moden iaitu menggunakan AR. Reka bentuk aplikasi ini dibangunkan dengan menggunakan elemen multimedia seperti audio, video, grafik, animasi dan teks. Kajian ini dijalankan bagi mengetahui persepsi pengguna yang ianya merangkumi kebolehgunaan, keberkesanan dan reka bentuk responden terhadap hasil produk akhir yang telah dibangunkan. Pembangunan aplikasi ini dibangunkan menggunakan ADDIE Model. Dapatan kajian menunjukkan min yang terkumpul bagi responden kajian ialah 3.50 bagi persepsi kebolehgunaan, 3.33 bagi min persepsi keberkesanan dan 3.57 bagi persepsi reka bentuk aplikasi. Secara keseluruhannya, hasil kajian yang diperolehi oleh responden kajian menunjukkan skor min yang tinggi.&#x0D; &#x0D; Appliying Augmented Reality to Introduce Adobe Photoshop Software Tools Among Secondary School Multimedia Students&#x0D; Abstract: This application is introducing Adobe Photoshop software tools among multimedia students; it was developed to help multimedia students to recognize Adobe Photoshop software tools in a more modern way that is using AR. The design of this application is developed using multimedia elements such as audio, video, graphics, animation, and text. This study was conducted to find out consumer perceptions which include the usability, effectiveness, and design of respondents to the final product that has been developed. The development of this application was developed using the ADDIE Model. The findings of the study showed that the cumulative mean for the study respondents was 3.50 for the perception of usability, 3.33 for the mean of the perception of effectiveness, and 3.57 for the perception of application design. Overall, the results obtained by the study respondents showed a high mean score.&#x0D; Keywords: ADDIE, Adobe Photoshop, Augmented Reality, Teaching and Learning Aids.
PEMANFAATAN IMPLEMENTASI WEBSITE APOTEK BERKAT BENGKAYANG SEBAGAI INFORMASI UNTUK MASYARAKAT KABUPATEN BENGKAYANG

In the era of information technology, online information facilities are needed that aim to provide information to the public, especially Bengkayang Regency to find out every product sold by The Blessing Pharmacy in the midst of the COVID-19 situation. This community service activity aims to provide knowledge to the owner of The Blessing Pharmacy and increase insight into the website as a medium of information that is so important during the pandemic in Indonesia like this. Berkat Pharmacy is one of the largest pharmacies in Bengkayang Regency. With this website provides a high selling value, as well as increasing consumers in searching for information about The Pharmacy Blessing.
A Narrative Comparison of Simcheongjeon with Buyongjeon and Their Educational Significance

Based on the narrative similarities between Simcheongjeon and Buyongjeon, this study revealed the educational value through comparison of these two Classical novels. In addition, in relation to the secondary school teacher appointment examination, its educational significance was considered. First, the original tales of Simcheongjeon and Buyongjeon were compared. Since these two classical novels have similar narratives, the original tales are also similar. In these two novels, Self-sacrifice filial piety folktale, Human sacrifice folktale, Dragon king’s palace folktale, Revival folktale appear in common. On the other hand, there is a difference between Conception dream folktale and Gaining eyesight folktale appear in Simcheongjeon and Geomancy folktale and Getting medicine folktale appear in Buyongjeon. Second, the narrative structure of Simcheongjeon and Buyongjeon were compared. These two classical novels have similar narrative, so the narrative structure can be divided into four categories: birth and growth, filial piety and sell oneself into slavery, death and rebirth, and family reunion and wealth. The narrative structure of the two novels follows these four frameworks, and although there are narrative differences in detail, they generally have similar narratives. Third, based on the narrative similarity between Simcheongjeon and Buyongjeon, the educational significance was considered through the comparison of these two works. If the instructor make the learner figure out the original tales of Simcheongjeon, and substitutes it into Buyongjeon, the learner can easily figure out the original tales of Buyongjeon. Also, if the instructor presents the summary and comparison of the narrative structures of Simcheongjeon and Buyongjeon to the learners, the learners can compare the narrative similarities and differences of these two novels at a glance, so they can figure out the narrative structure of the two works quickly and clearly. The problem of identifying the original tales of classical novel and comparing of narrative structure among classical prose are often presented in the secondary school teacher appointment examination. In addition, comparison of the original tales and narrative structure between Simcheongjeon and Buyongjeon, which have similar narrative, may appear in future examination, so it is important to understand this.
Effect of non-face-to-face health care volunteer activities of nursing college students in the Covid 19 era

This study was collected from 36 students at K University in J, K-si, K-do to confirm the impact of non-face-to-face health care volunteer programs on career preparation behavior, major satisfaction, nursing professionalism and career decision-making self-efficacy in a situation where volunteer work is limited due to the prolonged Covid 19. This study program developed a non-face-to-face health care volunteer program with Covid 19 for the elderly living alone in the region, and nursing students conducted non-face-to-face volunteer activities for 8 weeks. Descriptive statistics and regression analysis were used for the collected data. The study results showed that the average value immediately after participation and one week after participation increased compared to before the subjects participated in non-face-to-face health care volunteer activities, and career preparation behavior (F=17.789, p=.000), major satisfaction (F=22.472, p=.000), nursing professional (F=19.473, p=.000), career decision-making self-efficacy (F=28.248, p=.000) There was a significant difference. Based on the results of this study, it is suggested to develop and apply various non-face-to-face volunteer programs as non-curricular activities of nursing college students.
A Study on Writing Education Methods for Flexibility of Thinking: Focusing on Active Storytelling

This study attempted to devise a writing method that assists internal growth from a self-oriented perspective among the fields of writing education using storytelling. Specifically, among the subcategories of storytelling, active storytelling was applied to examine writing education methods that help flexible thinking, an indicator of internal growth. First, the self-narratives was completed and reviewed by applying the Big Blur characteristics of active storytelling. At this time, emotional ventilation was used to select the original story. Next, the multi-path characteristics of active storytelling were applied to help flexibility of thinking. The XY thinking experiment was used as a recognition conversion technique for multipath generation. As a result, irrational and rigid thinking was confirmed in the contents of the Emotional Ventilation Act and the first self-narratives. Subsequently, the XY thinking experiment confirmed the movement of rigid perception. Finally, as a result of analyzing the first generated single path and the subsequent generated multi-path using the REBT technique, significant flexibility of thinking was confirmed. This study accumulated the method and possibility of qualitative analysis evaluation by analyzing and applying the dimension of flexibility of thinking among the indicators of internal growth through writing education. However, due to the limited case of focusing on individual thinking flexibility, categorization has limitations. In the future, writing education methods from a self-oriented perspective should be accumulated through continuous research.
Breast Cancer Detection and Prediction using Image Processing and ML

Abstract: Breast cancer is one of the most common and potentially life-threatening forms of cancer that affects a significant number of women worldwide. Early detection of breast cancer plays a crucial role in improving patient outcomes and survival rates. Machine learning algorithms have the potential to analyze large volumes of medical imaging data, extract meaningful features, and assist in the identification of suspicious regions or potential tumors. By leveraging these algorithms, healthcare professionals can make more accurate and timely diagnoses, leading to improved patient care and outcomes. Breast cancer is a prevalent form of cancer that affects a significant number of women worldwide. Early detection plays a crucial role in improving patient outcomes and survival rates. Breast cancer detection refers to the process of identifying abnormal changes in breast tissue, such as tumors or growths, that may indicate the presence of cancer cells. Early detection plays a vital role in improving patient outcomes by allowing for timely intervention and targeted treatment plans. Several techniques are utilized in breast cancer detection, including screening mammography, clinical breast examination, and breast self-examination. Mammography, the most common method, involves using low-dose X-rays to capture images of the breast tissue. It can detect tumors or suspicious areas even before they can be felt by a physician or the patient. In recent years, advancements in medical imaging and machine learning techniques have shown promising results in breast cancer detection. The designing of the model began with classification of Histopathological image dataset into Cancerous and Non - cancerous classes using Support Vector Machine (SVM) and Convolutional Neural Network (CNN) algorithms. Both the classifiers are examined on the basis of sensitivity, specificity..
Label Consistency-based Modified Sequential Dictionary Learning-based Approach for PIR Sensor-based Detection of Human Movement Direction

In this work, we intend to implement our recently proposed label consistency (LC)-based hybrid dictionary learning (DL) approach for human movement detection problems and investigate its performance in detail. In our earlier works, the direction of human movement detection problems was successfully solved using an indigenously developed hardware–software combined module; and in this connection, two other efficient DL algorithms were proposed using MMCP-and MRAK-SVD-based approaches. On the other hand, in our most recent work, we have demonstrated how another prominent activities of daily living (ADL) problem in an indoor environment, known as intruder detection problem, can be solved by using a hybridization of label consistency-based K-SVD (called LCK-SVD) algorithm with a modified version of consistent adaptive sequential DL (CAS-DL) algorithm (i.e., termed as LC-MCAS-DL). A comprehensive study carried out using an expanded database has revealed that the performances of both MMCP- and MRAK-SVD-based DL approaches reported earlier suffer degradation with an increase in the size of the database and, hence, dictionary. The present paper shows that, for an expanded database under consideration, LC-MCAS-DL-based dictionary learning approach can provide much robust result compared to both MMCP- and MRAK-SVD-based dictionary learning approaches. The present work has made a thorough investigation of this problem with the help of an expanded database comprising real signals acquired using our indigenously developed four passive infrared (PIR) sensor-based general-purpose ADL system hardware. Detailed experimental findings and performance analyses firmly demonstrate the supremacy of the LC-MCAS-DL approach over MMCP- and MRAK-SVD-based approaches for the detection of human movement direction problem at hand.
Bi-Directional American Sign Language and English Translator Using Machine Learning and Computer Vision

Abstract: American sign language is a language that is used by those individuals who are physically impaired and cannot communicate through common spoken languages. Due to lack of awareness and a small population of individuals using sign language, those who rely on it as their only means of communication require human sign language translators in order to be able to communicate with the more fortunate abled individuals. However, in reality, it is not alway practically feasible to have a human translator present at all times. That is why automation of a human sign language translator’s work can prove to be a more suitable alternative in a broader spectrum of use cases. A portable and practical sign language translator proves to be more socially and technically feasible than a human sign language translator. Keeping these set of circumstances in mind we are developing an application that allows two-way communication between a physically impaired individual and an abled individual. The application is designed for two categories of users : those who use ASL as their primary language for communication (disabled) and those who use English as their primary language for communication (abled). The primal aim is to curb the language barrier that exists between the 2 categories of individuals in the hopes of providing better opportunities in society for the less fortunate through the use of our application. We propose to use a machine learning, computer vision based model that is capable of learning and performing the translations between English text and American Sign Language and vice versa.
Japanese Braille Translation Using Deep Learning – Conversion from Phonetic Characters (Kana) to Homonymic Characters (Kanji) –

A blind student writes and submits reports in Braille word processor, which is difficult for teachers to read. This study’s purpose is to make a translator from Braille into mixed Kana-Kanji sentences for such teachers. Because Kanji has homonyms, it is not always possible to get correct results when converting. To overcome this difficulty, we used deep learning for translation. We built a training dataset composed from 15,000 pairs of Braille codes and mixed Kana-Kanji sentences, and a validation dataset. In training, we got an accuracy of 0.906 and a good Bleu score of 0.600. In validation, we found 5 mistaken words in selecting homonymous Kanji by examining translation mistakes from 100 pairs of the verification sentences. The choice of homonymous Kanji depends on the context. For decreasing such type of errors, it is necessary to introduce of translation of paragraphs by increasing the scale of the network model in deep learning, and to expand the network structure.
Anthropomorphism as a contributor to the success of human (Homo sapiens) tool use.

Humans anthropomorphize: as a result of our evolved ultrasociality, we see the world through person-colored glasses. In this review, I suggest that an interesting proportion of the extraordinary tool-using abilities shown by humans results from our mistakenly anthropomorphizing and forming social relationships with objects and devices. I introduce the term machination to describe this error, sketch an outline of the evidence for it, tie it to intrinsic reward for social interaction, and use it to help explain overimitation-itself posited as underpinning human technological complexity-by human children and adults. I also suggest pathways for testing the concept's presence and limits, with an explicit focus on context-specific individual and temporal variation. I posit cognitive pressure from time constraints or opaque mechanisms as a cause for machination, with rapid, subconscious attribution of goals or desires to tools reducing cognitive overload. Machination holds promise for understanding how we create and use combinatorial technology, for clarifying differences with nonhuman animal tool use, and for examining the human fascination with objects. (PsycInfo Database Record (c) 2023 APA, all rights reserved).