Reviewerly/exHarmony huggingface dataset:
C vs Python: A Cursory Look with Industry Opinion

In this paper, the author explores the characteristics and applications of C &amp; Python programming languages across various industries, drawing insights from interviews with professionals. The study includes a comparative analysis of C and Python based on execution time, code readability, and length. C, favored for its speed and applicability in game development and embedded systems, has complexities such as large code size and lack of cross-platform support. In contrast, Python excels in artificial intelligence, machine learning, and web scraping due to its simplicity and extensive libraries. The article emphasizes the influence of programming communities on language popularity, noting Python's widespread adoption due to its concise syntax and strong community support. Industry experts concur on C's complexity and time-intensive nature but acknowledge its effectiveness. Python's ease of learning has made it the world's most widely used language, prompting non-coding sectors to encourage Python education.
Enhancing Tourist Experiences in Crowded Destinations through Mobile Augmented Reality: A Comparative Field Study

Mobile augmented reality (MAR) has gained significant attention in the tourism sector as a way to enhance the visitor experience. The rapid advancements in mobile computing and sensor technologies have facilitated the widespread use of geospatial augmented reality (AR) applications by tourists when exploring popular destinations. To analyze the impact of AR technology on the tourism experience, we developed the FEZAR mobile application. This application serves as the focal point of our study, allowing us to evaluate user performance using a comparative experimental approach. To ensure the usability of the FEZAR application, professionals with expertise in mobile technologies, including AR, performed rigorous testing and evaluation of the application. Through their evaluations, significant usability issues were identified and resolved, resulting in the application being well-received by the experts. Subsequently, a comparative field study was conducted in Fez’s old medina, a crowded UNESCO heritage site, involving users (N = 40) who were randomly assigned to experimental and control groups in equal distribution. The results of the study revealed that the proposed AR model had a significant positive impact on user visits. Compared to other forms of media, AR offers more informative and enjoyable experiences. Additionally, it effectively helps locate monuments in crowded tourism settings. The findings of this research make a valuable contribution to the ongoing discussion regarding the impact of evaluating MAR user interfaces on increasing visitor engagement with tourist destinations.
Medical Image Compression Using Block-to-Row Principal Component Analysis (BTRPCA)

Principal Component Analysis (PCA) is capable of completely decorrelating input data in the transform domain. However, PCA is limited in image compression because there is a need to transmit or store the eigenvectors of the input data over a communication link and thereby affects the rate-distortion performance. In an effort to improve rate-distortion performance, this work proposed a block-to-row PCA (BTRPCA) algorithm that employs the eigenvectors from the model image of the same image modality coupled with a row vectorization approach. It is found from this work that the proposed method achieves PSNR improvements of up to 10 dB compared to its PCA counterparts at compression ratio of 64:1. At the same compression ratio, the proposed BTRPCA managed to achieved PSNR of 40 dB while the comparing algorithms scores well below 40 dB at the same configuration. This approach successfully improves the rate-distortion performance by reducing the overwhelming side information and computation overhead associated with PCA.
Analysis on the Role of Picture Books in Children's Cognitive Development Education

Picture books have been a staple in children's literature for centuries, with the earliest known examples dating back to the 15th century. These books are designed to engage young readers through a combination of words and pictures, to develop literacy skills and promote cognitive development. Picture books are an important tool for teaching young children new words and concepts as well as providing them with education. Numerous studies have investigated the effects that reading aloud together has on the relationships that develop between parents and children. A brand-new line of research has recently been initiated to investigate the qualities of children's picture books that encourage learning and the application of that education in the wider world. Children's symbolic development, analogical reasoning, and thinking that is rooted in fantasy may impede their ability to retrieve information from picture books, according to the findings of the research presented here. After that, we take a look at the developing corpus of research on the effect of picture book characteristics on children's learning and transfer of scientific concepts, problem-solving skills, morals, and words and letters from picture books. In each area of learning, we investigate how the development of children might interact with the qualities of books in order to influence their acquisition of knowledge. We come to the conclusion that the ability of children to learn and transfer knowledge from picture books can be hampered by certain book qualities, and that future research should examine the interplay between the developing capacities of children and the characteristics of books and how they affect their learning.
Generating and detecting true ambiguity: a forgotten danger in DNN supervision testing

Abstract Deep Neural Networks (DNNs) are becoming a crucial component of modern software systems, but they are prone to fail under conditions that are different from the ones observed during training (out-of-distribution inputs) or on inputs that are truly ambiguous, i.e., inputs that admit multiple classes with nonzero probability in their labels. Recent work proposed DNN supervisors to detect high-uncertainty inputs before their possible misclassification leads to any harm. To test and compare the capabilities of DNN supervisors, researchers proposed test generation techniques, to focus the testing effort on high-uncertainty inputs that should be recognized as anomalous by supervisors. However, existing test generators aim to produce out-of-distribution inputs. No existing model- and supervisor independent technique targets the generation of truly ambiguous test inputs, i.e., inputs that admit multiple classes according to expert human judgment. In this paper, we propose a novel way to generate ambiguous inputs to test DNN supervisors and used it to empirically compare several existing supervisor techniques. In particular, we propose AmbiGuess to generate ambiguous samples for image classification problems. AmbiGuess is based on gradient-guided sampling in the latent space of a regularized adversarial autoencoder. Moreover, we conducted what is $${-}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mo>-</mml:mo> </mml:math> to the best of our knowledge $${-}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mo>-</mml:mo> </mml:math> the most extensive comparative study of DNN supervisors, considering their capabilities to detect 4 distinct types of high-uncertainty inputs, including truly ambiguous ones. We find that the tested supervisors’ capabilities are complementary: Those best suited to detect true ambiguity perform worse on invalid, out-of-distribution and adversarial inputs and vice-versa.
The Influence of the Information System Success Model and the Technology Acceptance Model on the Behavioral Intention of Specialist Doctors to use Electronic Medical Records For Inpatient Care Unit

The acceleration of technological developments affects the management of information systems within the hospital, especially in using of Electronic Medical Records (EMR). Behavioral intention to use EMR is the essential factor, the role of user is one of the keys to successful EMR implementation. This study aims to analyze the factors that influence behavioral intention of specialist doctors to use inpatient EMR. Data were obtained through questionnaires using the Likert measuring scale and data analysis was processed using SEM (Structural Equation Modelling). Quantitative analytical research method with cross-sectional design using a total sampling of 144 specialists. Of the total 144 respondents, the majority of respondents were male (59%), aged 40-50 years (30.6%) and had a working period of more than 20 years (25.7%). Hypothesis analysis found that there was an effect of system and information quality on perceived ease of use and usefulness. System quality, perceived ease of use and usefulness influence behavioral intention, while information quality has no effect, but indirectly influences behavioral intention through perceived ease of use and usefulness. Service quality has no effect on perceived ease of use, perceived usefulness, and behavioral intention. Perceived usefulness has the greatest influence on behavioral intentions to use inpatient EMR. As an implication of this study, it was found that it is necessary to optimize the inpatient EMR system in the aspects of reliability and connectivity.
The Role of the Personality Traits and Motivation in Manifestation in Pedagogues' Competencies

The article presents the role of personality traits, personal qualities and motivation in the context of formation of the competences of pedagogues. The personality traits and the personal qualities which consider more stable characteristics of the person, as well as motivations which give direction to the person’s activity is also the basis for the formation of competencies of the person. The research was carried out by pedagogues from both community and city schools of the Republic of Armenia, with a total of 115 people. Of the data, the results of 99 respondents were valid. The study used a five-factor personality model, revealed the relationship of personal qualities with motivation. The analysis of the results showed that the main role of the formation and development of the competencies have such personality traits as Openness to experience, Agreeableness, Conscientiousness and Motivation. The motivation is absorbed as a satisfaction of the process and the result of the work, as well as the possibility of the most complete self-realization in this particular activity. The motivation is manifested when the activity of the pedagogue is of paramount importance for the individual.
Enforcing Copyright on Online Streaming Platforms: Challenges Faced by Rights Holders in the Digital Era

The advent of online streaming platforms has revolutionized the way content is consumed, providing users with instant access to a vast array of digital media. However, this digital era has also brought forth numerous challenges for copyright holders in enforcing their rights. This research paper aims to investigate the challenges faced by rights holders in enforcing copyright on online streaming platforms and explore potential solutions. The literature review reveals that copyright infringement on online streaming platforms is a major issue, with unauthorized streaming and illegal file-sharing posing significant threats to the rights holders. The complexity of jurisdictional boundaries and the anonymity afforded by digital platforms make it challenging to identify and pursue infringers effectively. Existing research highlights the limitations of Digital Rights Management (DRM) technologies in preventing copyright infringement, necessitating a multi-faceted approach to enforcement. To address these challenges, this study will employ a mixed-methods research approach. Qualitative methods, such as interviews with copyright holders, will be conducted to gain insights into the specific challenges faced by rights holders. Additionally, quantitative data analysis will be performed to examine the effectiveness of legal and technological solutions implemented to enforce copyright on online streaming platforms. The research will identify key challenges, including the difficulty of preventing unauthorized streaming, the prevalence of illegal file-sharing, and the implications of jurisdictional complexities. Furthermore, it will explore legal mechanisms, such as international copyright treaties and licensing agreements, as well as the effectiveness and limitations of DRM technologies in preventing infringement. This Paper will also go in-depth about the various initiatives taken up by the industry to face such challenges. Based on the findings, this research paper will provide policy recommendations to address the challenges faced by rights holders. The aim is to propose improvements to legal frameworks, enforcement mechanisms, and industry practices. By addressing these challenges, it is expected that effective enforcement of copyright on online streaming platforms can be achieved, ensuring fair compensation for rights holders and fostering a sustainable ecosystem for digital content creation and distribution.
Prediction of Snyder Synthetic Unit Hydrograph Coefficient for Cidurian Watershed

Watershed management is starting with knowing and recording the problems that exist in the watershed. Condition of the watershed that continues to deteriorate can trigger natural disasters such as flash floods that occurred in the Cidurian Watershed. Hydrological design, especially for short-term phenomena runs generates the synthetic unit hydrograph. Snyder synthetic unit hydrograph is the common synthetic hydrograph that widely used on hydrological analysis. Generally, on the snyder synthetic unit hydrograph, the coefficient value (peak coefficient, time coefficient, CW75 and CW50) is only based on estimates or previous research so that the calculation of discharge is less accurate and needs further research. This study discusses the prediction of the value of the Peak Coefficient (Cp), Time Coefficient (Ct), CW75 and CW50 in the Cidurian Watershed using the Snyder Synthetic Unit Hydrograph (HSS) and get a calculation graph between the Polynomial and Collins Unit Hydrographs against the Snyder Synthetic Unit Hydrograph (HSS) in the Cidurian Watershed with rainfall data processing using the Thiessen Polygon, Mononobe, and Alternating Block Method (ABM). The results showed that the value of Peak Coefficient (Cp) = 0.59, Coefficient of Time (Ct) = 0.09, CW75 = 1.22, CW50 = 2.14, with Peak Discharge (Qp) Collins Measured Unit Hydrograph 19th hour = 1.589 m 3 /s, and Peak Discharge (Qp) Snyder Synthetic Unit Hydrograph 11th hour, 1 = 1.59 m 3 /s.
Exploring Policy Trends and Implications for Supporting Chinese Teachers’ AI and Digital Competencies

This study explored implications for improving our AI and digital competencies by analyzing policies to enhance AI and digital competencies in China and case studies related to AI and digital competencies. First, the background of policy promotion related to China's AI and digital competencies and the conceptual definition of China's AI and digital competencies were examined, and the types of AI and digital competencies in China were specifically explored. Based on this, we looked at the actual support and use of Chinese teachers' AI and digital competencies in the current teaching situation in Chinese schools, and explored Chinese education policies to support teachers' AI and digital competencies. This search was in-depth approach and analysis based on literature published in the original Chinese language, such as announcements from the Ministry of Education of China, Chinese academic journals, Chinese websites, and Chinese media. Through this, the implications of China's AI/digital competency training for Korea and the future direction of Korea's AI/digital competency support policy were suggested as follows. First, it is necessary to establish a teacher training model that combines the capacities of the government and the private sector. Second, AI and digital resources must be fully utilized in the teaching and learning process. Third, it is necessary to strengthen the education of prospective teachers and expand the training of incumbent teachers.
Scalable verification of quantum algorithm circuits.

but still asserting outstanding performance and tractable interface to higher-level quantum programming environments, such as IBM Qiskit, Microsoft Q\# and Google Cirq. Circumventing the disability of polymorphism in GPUs and leveraging the device-initiated one-sided communication, SV-Sim can process dynamically synthesized quantum circuit in a single GPU/CPU kernel without the need of expensive JIT or runtime branching, significantly improving the performance and simplifying the programming complexity for the emerging variational quantum algorithms. Evaluations on NVIDIA A100-DGX-1, V100-DGX-2, AMD MI100, ALCF Theta, and OLCF Summit HPCs show that SV-Sim can delivery scalable performance on various state-of-the-art HPC platforms, offering a useful tool for quantum algorithm validation and verification.
SOSIALISASI PENGGUNAAN APLIKASI “SIMOTOR” UNTUK PENJUALAN SPAREPART DI BENGKEL FAKHRY MOTOR

The Fakhry Motor Workshop has the opportunity to develop sales of spare parts at the Fakhry Motor Workshop using the "Simotor. This service aims to socialize the use of the "Simotor" application to local people who want to buy motorbike spare parts. The method of community service activities uses the qualitative method through the process of observation, interviews and documentation. The informants involved in the information gathering process were the owners and mechanics of the Fakhry Motor workshop. The results of this community service activity show that the use of the "Simotor" application can be understood by the owner and mechanic of the Fakhry Motor workshop. The "Simotor" application can be used for the process of buying and selling motorbike spare parts. The use of the "Simotor" application can be aimed at people who are lazy to leave the house. The "Simotor" application can be sent via courier such as in the online sales market. The "Simotor" application payment system can be via transfer or cod.
Automatic Machine of Distributed Fish Feed Based on Arduino Uno

The need for feed in fish-keeping ponds is vital for the survival of the fish that are kept. Some fishpond farmers still provide fish feed manually and it is felt to be inefficient. On the other hand, the focus of farmers can be focused on maintaining fishponds. This PKM activity utilizes appropriate technology as an automatic feed tool for spreading tilapia fish feed. The driving of this feed is connected to a controller which functions to regulate the spreader of tilapia feed regularly and the design is made to achieve the spread of tilapia feed with a large capacity of 50 kg each e day. The use of this tool was conducted in tilapia fish maintenance/cultivation using ponds/ponds on land. The placement location is in the Karawang sub-district, West Java.
IN TUNE or Colonized ART?

The expression 'in tune' is established among musicians and music lovers but is also used allegorically in other contexts. I present a multi-layered model of communication that can unveil the background and diverse logic establishing concepts we use on artefacts and their expressions. The model can be seen as a tilted version of Ogden's triangle, where the fundamental element is the arbitrary connection between the sign and its expression. The model develops several layers of concepts to make an analysis of what colonized art is. Examples from music demonstrate that the expression 'in tune' is a colonized understanding of certain structures of scale systems developed within a historical and socioeconomic context. This kind of understanding makes adjustments to the intentions of a musical expression, as well as to the identification and interpretation of a musical performance.
Mobile Forensic Readiness: A Comprehensive Survey of the Best Practices, Current Methods and Available Data

Our way of life has been completely transformed by mobile phones. Nowadays, a cell phone is seen as a necessary item. Which means we use it for the majority of our tasks as well as communication. Communication is portable allowing us to send texts and make calls from anywhere on the planet. In addition, people can utilize the camera to record significant moments in their life and store them for later reference. People used to send these photos to their loved ones from their phone allows them to share their moments with others. Moreover, through mobile applications, they may interact with individuals from all over the world and create new acquaintances on a mobile phone, Last but not least, they can use smartphone applications for finding their way about acquiring maps. For nefarious purposes, some people, on the other hand, want to wipe all of their data, including phone records, text messages, images, videos, and location information. Therefore, using mobile forensic technologies, a mobile forensic expert can recover all of the erased data, including call logs, text messages, photographs, videos, and location data. This survey paper intends to investigate and assess the state of mobile phone forensic preparation, including a thorough overview of current methodologies and industry best practices. This research intends to help forensic investigators, law enforcement organizations, and digital forensic practitioners create strong and efficient mobile phone forensic preparation strategies by examining various methodology, tools and procedures.
The Hero’s Journey Stages and Character Archetypes in Anthony Horowitz’s Novel Alex Rider (Stormbreaker)

This research attempts to find out 1) the hero’s journey stages in Anthony Horowitz’s novel Alex Rider (Stormbreaker) 2) Character archetypes and their roles in helping or hindering the hero to complete the hero’s journey stages in Alex Rider (Strombreaker). The research is conducted using qualitative research methods, the technique of data analysis is descriptive qualitative method, the instrument for collecting the data is documentary sheet. The source of data used for this research is Alex Rider (Stormbreaker) novel. The results of this study showed that the seventeen (17) stages formulated by Joseph Campbell are found in the novel. Furthermore, this study also showed that the seven (7) different archetypes formulated by Christopher Vogler are found in the novel. This concludes that the hero’s journey stages and the character archetypes formulas that the first data collected by Joseph Campbell was from oral tradition stories is found to be applicable to modern novels.
Research on NLP Based Automatic Summarization Generation Method for Medical Texts

The fundamental concept underpinning text summarization technology revolves around the capacity to encapsulate the original information into a succinct form, thus equipping individuals to promptly extract essential content from vast data repositories and liberating users from the cumbersome task of processing extensive textual material. In recent years, the exponential proliferation of data in biomedical literature, patient case records, and healthcare documentation, has presented a pressing challenge. This research undertakes the integration of Natural Language Processing (NLP)-related technologies into the domain of medical text summarization. It puts forth a novel solution for generative automatic summarization, with a specific focus on enhancing the model's proficiency in assimilating the semantic nuances inherent in biomedical texts. The methodology incorporates within existing text summarization frameworks to optimize the model's efficacy in handling biomedical data. The empirical findings presented in this study attest to the remarkable precision of the sentence similarity calculation method introduced herein. In a comparative analysis against four alternative methodologies, this approach achieves a high accuracy rate of 90.6%. This outcome highlights the superior predictive performance of the sentence integration similarity calculation method proposed in this research.