Reviewerly/exHarmony huggingface dataset:
Folkloric Bangladesh: A Study on Recent Changes

Folklore, culture, heritage, folk literature, arts and crafts of a country as known` pulse of the people’. Today, Folklore is practices in the remote areas only and centralized mainly to the rural people. In this age of globalization, we now identify several swings of changes in material folklore. Even, subject like trade and commerce are also influencing traditional cultures in multiple ways. In fact, many people of a country express their positive view towards the folk-culture, although a few of them cast their negative attitude to it. It is proved that; folk-material and culture is in threat all over the world but Bangladesh is an exception. It has a glorious and beautiful culture and heritage. Even though, it`s traditional expressions are facing various obstacles. In this study, we have tried to find of its importance in real life and how to confirm benefit of the folk-artist and their works from different complications. In this connection, valuation of different folk-material shas been shown. Besides, we have given some recommendations for the recognizing of the folk-artist and how-to development of folklore management nationally. This study prepared according to the Exploratory research methodology with field investigation and followed the anthropological approach.
Easing the tuning of drone autopilots through a model-based framework

Off-the-shelf open-source autopilots are customized by practitioners to satisfy their customer’s specific needs. When custom functions require low delays and/or fast frequency, in the order of magnitude of hundreds or a couple of thousand hertz, they may impact the behavior of the underlying stabilization loop. This paper proposes a tool chain able to extract a model using a Domain-Specific Language (DSL) based on AADL (Architecture Analysis & Design Language) semantics, extended with specific needs to capture the internal behavior of autopilots. This extraction is done directly during the compilation process of the autopilot. Then, we apply on the model of an autopilot a tool to assign offsets for offset-free systems.
DIGITAL TOOLS IN THE STUDY OF ASTRONOMY

The article analyzes digital resources and applications that can be used in the study of astronomy in institutions of higher and secondary education. This is a description of virtual physical observatories, electronic planetariums, virtual and augmented reality applications. The methodological component of the use of digital resources in astronomy is considered. The tasks and prospects of the Ukrainian virtual observatory are disclosed.
The Transmission of Information

This chapter deals with the basics of information transmission, which include some or all of the following: the information source, encoding the information, transmitting it through a channel, the addition of noise, and, finally, receiving and decoding the information. Biological coding is introduced through the examples of DNA, RNA, and proteins. Further topics dealt with include the compression of information (and its use to measure the distance between different objects), ergodicity, and error correction. Noise is given particular attention, and the concept of equivocation to quantify the amount of information lost in transmission due to noise is introduced.
Mikrotik VPN Shielding E-Link Health Reports: Strengthening Data Security at Madiun Health Office

Advances in Information and Communication Technology have led to revolutionary changes in computer networking, especially in Indonesia, which has witnessed significant technological growth over the last four years. Despite this progress, inter-agency data exchange, particularly in governmental organizations, remains vulnerable to security risks. This study focuses on enhancing the security measures for the Electronic Health Information Report (E-Link) system at Madiun District Health Office by implementing a Virtual Private Network (VPN) using MikroTik. A multi-method approach, comprising direct observation, interviews, and literature review, was adopted for this investigation. The findings confirm that the utilization of Point-to-Point Tunneling Protocol (PPTP) via MikroTik substantially elevates the security and governs controlled access to the E-Link application. Therefore, the implementation of a VPN not only fortifies the security but also improves the accessibility of health data systems.
Drone, Baby, Drone: Techno-neocolonialism and Postcolonial Mediations in Namwali Serpell’s The Old Drift

ABSTRACT: The Old Drift embodies Namwali Serpell’s ideas of colonialism and post-colonialism as unstable descriptors requiring an imaginative retelling of Zambian national history, an alternate centering of marginalized figures, and a critical assessing of social protest in a society saturated with digital technologies. The paper examines how error, chance, and contingency determine the geographic, biologic, and gendered dynamics of empire, ideology, and subaltern resistance. It argues that the novel dramatizes techno-neocolonialism as the nexus of information technology, government agencies, and international businesses that generate conditions of subalternity for peoples deemed as threats or superfluous to the social order sustained by the postcolonial State. The novel foregrounds the politics of popular protest in Zambia as the drift of postcolonial mediations—imprinted with violence, haunted by imperialism, shaped by postcolonial contradictions, influenced by natural environments, crusted over with contingency, and re-narrated with subaltern agency.
More on the generalized linear model: logistic and loglinear models

This chapter discusses sub-frameworks of the generalized linear model (GLZM) which can be used for nominal-level data with two categories (binary logistic model) and scale data in the form of counts (loglinear model). It examines how they can be used to assess the relative effects of multiple explanatory (independent) variables on a single response (dependent) variable. The binary logistic model uses the binomial distribution while the loglinear model uses the Poisson distribution and is useful if the response variable is count data. For explanatory variables, it is the same for the binary logistic and loglinear models as it was for the general linear model: one can have one or more categorical or continuous explanatory variable(s), or indeed a mixture. The chapter then demonstrates how to perform both analyses with SPSS using real data sets, and illustrates how to identify and report the key results of both analyses.
The Curtailment of Constitutional Rights and Mechanisms of Social Control in The People's Republic of China: Hubei Province Case at The Onset of The Covid-19 Pandemic

Abstract: This paper analyzes the curtailment of constitutional rights arising from the implementation of emergency measures due to the COVID-19 pandemic in China's Hubei Province, which was not at all counterbalanced by introducing new forms of due constitutional protection. Likewise, high expectations cannot be set on pre-existing means of constitutional safeguards since the Chinese government clearly refused to establish new or different safeguarding procedures nor did it deem it necessary to establish ad hoc courts in order to tackle the COVID-19 pandemic. The paper is laid out as follows: (1) fundamental rights in a contemporary socialist state: an overview; (2) containment measures against COVID-19 and flexibility of constitutional right;. (3) the centrality of governing bodies and restrictions of constitutional rights; (4) territorial governance and centralization of containment measures against COVID-19; (5) between soft law and totalitarian propaganda; and (6) the ubiquity of the Communist Party of China and the "alignment" of judicial functions.
A Comprehensive Research Study on Cloud Security

Abstract: With the aid of a significant quantity of virtual storage, cloud computing delivers on-demand services through the Internet. The key advantages of cloud computing are that the customer does not need to build up costly computer equipment and that the cost of its services is lower. Cloud computing has been integrating with the industry and many other fields in recent years, which has encouraged researchers to do research on new related technologies. Individual users and enterprises migrate their applications, data, and services to the cloud storage server due to the availability of its services and scalability for computing activities. Regardless of its benefits, the shift from local to remote computing has created a slew of security risks and hurdles for both consumers and providers. Many cloud services are delivered by a trusted third party, posing additional security risks. The cloud provider offers its services through the Internet and employs several online technologies, which raise new security concerns. This article explored the fundamentals of cloud computing, as well as security concerns, threats, and solutions. Furthermore, the article discusses various essential cloud themes, such as the cloud architectural framework, service and deployment model, cloud technologies, cloud security ideas, threats, and assaults. The report also highlights a number of outstanding research challenges concerning cloud security.
Cubature Kalman Optimizer versus Teaching Learning Based Optimization: A Performance Comparison based on CEC2014 Test Suite

This paper compares a new Cubature Kalman Optimizer performance against the Teaching Learning Based Optimization in solving the CEC2014 test suite. The Cubature Kalman Optimizer is inspired by the estimation algorithm named Cubature Kalman filter, while the Teaching Learning Based Optimization is inspired by the teaching-learning process in a classroom. Both algorithms can be characterized as a parameter-less nature. Graphical analysis based on convergence curve shows that Cubature Kalman Optimizer has better exploration than Teaching Learning Based Optimization in the first half of the total iteration that make it able to find better solution. On the other hand, for boxplot, both algorithms show comparative based on consistency. Meanwhile, statistical analysis shows that the Cubature Kalman Optimizer algorithm is a promising approach compared to Teaching Learning Based Optimization.
A Robust Integrated Watermarking Algorithm for Vector Geographic Data Copyright Protection

Vector geographic data play an important role in the natural resources and environment sector as well as in other location information services. This is also one of the types of data where the cost to create it is relatively large because of the difficulty in surveying, collecting, and authorizing. The rapid development of the Internet has created many advantages in the distribution, exploitation, and use of vector geographic data, but it also gives rise to many problems such as duplication, redistribution, forgery, and illegal data use. The theft on the Internet is becoming more and more sophisticated and the number of violations is increasing, showing the urgent need to research and develop an effective solution to protect the copyright of vector geographic data and prevent them from being illegally collected and used. Among the major studies and solutions, digital watermarking emerges as an effective method and is an active research area for copyright protection. Towards a good solution for copyright protection of vector geographic data, our study proposes a new algorithm with three main contributions, including: (1) generating short, pseudo-random meaningful watermarks to in-crease robustness and to enable automated as well as visual manual verifying; (2) building a uniformly distributed mapping between the vertex coordinates and the watermark bit indexes to increase the robustness of the watermarks; and (3) integrating two types of watermarks, namely, spatial domain-based watermarking and zero-watermarking to be resistant to most common attacks on geographic vector data. The algorithm works on all types of vector geographic data, including points, polylines, and polygons.
Variations in Indonesian cooking instructions: A register analysis of spoken and written online user-generated content

Cooking instructions, both written and spoken, are some of the most recognizable types of text. In this paper, the authors outline the characteristics of spoken and written cooking instructions as well as the differences between the two, focusing specifically on online user-generated content, which has proliferated in the last two decades. The study applies register analysis to spoken and written sample texts from TikTok and Cookpad. The study finds that the two types of texts share most of the situational characteristics but differ in the occurrences of certain linguistic features such as verb forms and pronouns. This preliminary study may serve as a foundation for further research on the topic of online language registers, especially on written and spoken cooking instructions.
Visual Heatmap Analysis of Happy Meal Advertise on Citra Pariwara 2022 Award using InstantEye Tracker

Understanding how the audience perceived the message in the media is still an interesting discussion. It can study how to communicate the idea and how the message perceived may change all the time, and how to analyze it. Involving technologies in analyzing processes can make valuable input for communication media artists. The objective of this research is to analyze one of awarded advertise creations by mapping the audience’s visual heatmap using InstantEye Tracker. The existence of eye-tracker technology makes it possible to obtain more objective information about how a visual communication design works, such as an advertisement received by someone. With 31 participants consisting of 14 men and 16 women, this study shows clear differences regarding the heat areas between men and women when receiving information on happy meal advertisements. Although, in general, the heat center is in the middle of the media, men tend to focus on the top left and the center. Meanwhile, women focus on the center and move randomly in the four quadrants of the image area. It relates to how the organization and composition of visual elements through design principles in visual communication design works that are appropriate to be captured by the audience.
Student Perceptions of Unemployment Due to Smart Technology in the Hospitality

This study looks into how students perceive the impact of intelligent technology on the job market, particularly in the hospitality sector. The study looks at how robots affect the workforce and investigates what elements affect students’ perceptions and what that means for making strategic decisions. A quantitative research methodology is used to construct and empirically test a conceptual model. The research sample comprises Jakartans from Generation Z, who are between the ages of 14 and 28 and have prior awareness of robotic technology used in the hotel sector. Then, statistics are used to examine the survey data and determine the validity, reliability, and discriminant validity. The findings are consistent with the idea that employees’ opinions of robot technology have a beneficial impact on robot-induced unemployment. However, while the perceived usefulness of robots has a favorable impact, the perceived ease of use of robots does not significantly contribute to unemployment. The study also shows that perceptions of students do not significantly influence impressions of employees, simplicity of use, and usefulness. These results aid in understanding how innovative technology affects the workforce and offer guidance for decisions in the hospitality sector.
The Digital Approach of The Architecture Narrative to The Relation of Gereja Ayam Sacred Space and Social Space in Pasar Baru Neighborhood

As the main focus of religious celebrations, a religious building becomes a magnet for the social celebrants. The architectural composition of a religious structure is undoubtedly a crucial factor in determining the quality of public space in its surroundings. This study aims to explore the relationship between the sacred space of Gereja Ayam and the social space of Pasar Baru. This research employs the digital approach to the narrative storytelling of the Pasar Baru area and the Gereja Ayam as the case study, with the primary state of the art being the social space positioning of the Gereja Ayam sacred space on creating the sustainable urban environment of the Pasar Baru neighborhood. The main research question was how the Gereja Ayam as a sacred space created a close relationship with the Pasar Baru neighborhood. The research would help the digital concept of creating an integrated communal space as part of the Pasar Baru revitalization plan.
The power of Bitcoin to attract investment in Underdeveloped Countries: A neoliberal perspective of Nigeria

The era of digital money was introduced years ago and is rising over the last few years. This is implemented by the fast-growing globalization process that spreads new technologies all over the world. Even in underdeveloped African nations such as Nigeria, this article examines the emergence of digital currencies such as Bitcoin. The ways that payments are made have changed significantly on a worldwide scale. This article suggests that the development of digital currencies, and Bitcoin in particular, is part of the process of instituting globalization through digital technologies. This article analyzes the phenomenon of Bitcoin in Nigeria from a neoliberal perspective, where globalization serves as a catalyst for the liberalization process. This article employs methods based on qualitative research. We use qualitative data obtained from previous studies, literature, and news source that is searched through google. According to this article, Bitcoin usage in Nigeria has increased due to increased investment. Nigeria that undergoes an economic crisis adopt Bitcoin in hopes for a better economic situation which resulted in the government accepting neoliberalism system. This article focuses on how underdeveloped nations use Bitcoin in international commerce to attract investment. Bitcoin has aided people in investing and improving their standard of living which is consistent with the neoliberal viewpoint; those who have control over their resources and act int their best interests will prevail.
Lexicogrammatical Analysis on African-American Vernacular English Spoken by African-Amecian You-Tubers

African American Vernacular English (AAVE) emerged from the historical context of African American enslavement and represents one of the numerous vernacular languages influenced by English. Today, AAVE is commonly used by African-Americans and non-African-Americans in various media platforms. This research aims to investigate the differences and similarities between AAVE spoken by African American and non-African-American YouTubers in terms of lexicogrammatical features. Additionally, it aims to know the perspectives of Indonesian learners regarding the interpretation and preference of AAVE. The data consist of transcriptions from African American and non-African-American YouTubers speaking in AAVE. The study used a qualitative method, analyzing spoken language in the subjects’ YouTube videos, as well as a quantitative approach by collecting opinions from Indonesian learners through a questionnaire. The results show that African-Americans and non-African-Americans speaking AAVE use similar features, such as simplification of Standard English phrases, consonant cluster simplification, copula absence, slang, and gender-specific terms like “bruh”. Indonesian learners prefer AAVE spoken by African Americans due to its advantage in clarity and acknowledge that non-African Americans may use AAVE depending on contextual factors. This research seeks to foster awareness of AAVE as a cultural expression and address concerns related to cultural appropriation.
A Practical Use for AI-Generated Images

Collecting data for research can be costly and time-consuming, and available methods to speed up the process are limited. This research paper compares real data and AI-generated images for training an object detection model. The study aimed to assess how the utilisation of AI-generated images influences the performance of an object detection model. The study used a popular object detection model, YOLO, and trained it on a dataset with real car images as well as a synthetic dataset generated with a state-of-the-art diffusion model. The results showed that while the model trained on real data performed better on real-world images, the model trained on AI-generated images, in some cases, showed improved performance on certain images and was good enough to function as a licence plate detector on its own. The study highlights the potential of using AI-generated images for data augmentation in object detection models and sheds light on the trade-off between real and synthetic data in the training process. The findings of this study can inform future research in object detection and help practitioners make informed decisions when choosing between real and synthetic data for training object detection models.
Personalized Movie Recommendation Prediction Using Reinforcement Learning

Current recommendation systems do not always meet users’ needs because they are mainly based on demographic data and consumption histories. However, reinforcement learning makes it possible to continuously improve the accuracy of these recommendations taking into account the real-time interactions of the user with the system. This paper deals with the application of a model based on reinforcement learning for recommending movies to users on an online movie platform with a dataset of movie ratings (Movie Lens 100K). The problem is how to use this method to suggest relevant books to users based on their preferences and reading histories to get better results than other methods. The evaluation metrics used in this study are precision and recall. The main results show that the proposed reinforcement learning algorithm outperformed the baseline methods in terms of precision and recall. Specifically, the algorithm achieved a precision of 0.67 and a recall of 0.51 which represents a significant improvement compared to the baseline methods. In this case, reinforcement learning in the recommendation system is found to be more effective in improving the recommendations with an increase in recommendation accuracy of up to 7% in some cases.
The User Interfaces Transition Diagram-Editor: A Tool to Simplify User-System Interaction Modeling

The User Interface Transition Diagram (UITD) is a formal modeling notation that simplifies the specification and design of user-system interactions. It is a valuable communication tool for technical and non-technical stakeholders during the requirements elicitation phase, as it provides a simple yet technically complete notation that is easy to understand. In this paper, we investigated the efficiency of creating UITDs using draw.io, a widely used diagramming software, compared to a dedicated UITD editor. We conducted a study to compare the time required to use each tool to complete the task of creating a medium size UITD, as well as the subjective ease of use and satisfaction of participants with the dedicated Editor. Our results show that the UITD editor is more efficient and preferred by participants, highlighting the importance of using specialized tools for creating formal models such as UITDs. The findings of this study have implications for software developers, designers, and other stakeholders involved in the specification and design of user-system interactions.