Reviewerly/exHarmony huggingface dataset:
Upaya Meningkatkan Minat Baca Siswa SD melalui Literasi Digital

Interest in reading can grow by itself in each individual, by getting used to reading activities, each individual will have broader knowledge. Reading is one of the means to learn about the world that you want to know, helps students to learn various knowledge, adds information and can also add to students' vocabulary that they did not know before. Thus reading is very important for students. This reading activity is an activity that can improve HR. In writing this article, the author uses the literature study method. which this method is to collect a number of books, library data, read and review the materials and sources of information that have been collected. The author collects data sourced from journals, scientific articles, and literature reviews that contain concepts written by researchers. Interest is an attitude that exists within a person or as special attention to certain things, this is formed because of the desire and feeling of happiness that arises from within a person. Interest in reading comes gradually, like a growth chart. Based on the results of the research and discussion, it can be concluded that the reading interest of elementary school children is currently still low. Efforts to increase students' interest in reading can be done by utilizing technology, namely the use of digital literacy. besides that increasing students' interest in reading can also be influenced by internal or external factors, then in an effort to increase students' interest in reading, teachers and parents also play an important role in fostering motivation and increasing interest in reading from within these students.
Penerapan Pembelajaran Bahasa Indonesia Berbasis Teks di SDN 95/II Muara Bungo

Learning Indonesian in elementary schools (SD) plays an important role in developing language skills in students. One of the increasingly popular approaches to language learning is the text-based approach. This article reviews the application of text-based Indonesian learning in the elementary school environment. The purpose of this study is to explain the text-based teaching method applied in elementary schools and to analyze its relationship to students' ability to speak Indonesian. Research methods include class observation, curriculum analysis, and evaluation of student learning outcomes. The results of the study show that the application of text-based learning in elementary school provides an approach that is contextual and relevant to students' daily lives. This has the potential to increase students' interest and understanding of Indonesian material. Nonetheless, challenges in its implementation, such as curriculum adjustments and assessments, also need attention. This article concludes that the application of text-based Indonesian learning in elementary schools can be an effective alternative in improving students' language skills if supported by the right approach and careful planning.
A Posterior p-Value for Homogeneity Testing of the Three Sample Problem

In this paper we study a special kind of finite mixture model. The sample drawn from the model consisits of three parts. The first two parts are drawn from specified distributions f1 and f2, while the third one is drawn from the mixture. A problem of interest is whether the two distributions f1 and f2 are the same. To test this hypothesis, we first define the regular location and scale family of distributions and assume that f1 and f2 are regular denisty functions. Then the hypothesis transforms to the equalities of the location and scale parameters, respectively. To utilize the information in the sample, we use Bayes’ theorem to obtain the posterior distribution and give the sampling method. Then we propose the posterior p-value to test the hypothesis. The simulation studies show that our posterior p-value largely improves the power in both normal and logistic cases while nicely controls the Type-I error. A real halibut dataset is used to illustrate the validity of our method.
PENGEMBANGAN MEDIA PEMBELAJARAN ANIMASI BERBASIS ANIMAKER PADA KELAS V TEMA 7 SUBTEMA 1 PERISTIWA KEBANGSAAN MASA PENJAJAHAN

&#x0D; Learning media is an important part of learning activities. At present the learning media used by teachers still use learning media which is less able to attract student learning interest because it only focuses on one learning media, printed books only. This study aims to determine the development of animaker-based learning media for students in class V theme 7 sub-theme 1 national events during the colonial period at SDN Cilebut 3 Bogor Regency and to determine the feasibility of animaker-based animated video media for the learning process. The method used in this study is the Research and Development (R&amp;D) method with the ADDIE model. In this study, validation tests were carried out on several experts in the media, language, and material fields to develop and perfect animated video products using animakers for students. The results of the data from the validation of media experts are 97.5%, which means that the e-module is very feasible to try out. The linguist obtained 84% results, which means that it was declared very feasible and the results from material experts, 92.7%, which were stated to be very feasible for testing. As well as based on trials that have been carried out on fifth grade students as many as 39 students obtained a proper score to be used in the learning process of 88.30%, as well as trials that had been carried out on teachers of 96%, and the results of the evaluation test scores received an average score flat. an average of 82.20 students from KKM 75, got a presentation of student success in working on test questions of 92.30% which means that the E-Module product using flipbooks is very feasible to use in the learning process.
Immersive Mixed Reality experience empowered by the Internet of Things and Geospatial Technologies

As Mixed Reality applications are penetrating people's daily activities, strong synergies with Geospatial technologies and the Internet of Things are revealed.The first is due to the significance of the spatial reference of all involved actors of a Mixed Reality environment: the end-user, the real and the virtual objects.The second is due to the ever-increasing participation of sensors controlling devices and machines always and everywhere.This paper attempts to highlight these synergies and propose a case proving that they crucially empower a Mixed Reality experience.
The NEF-SPA Approach as a Framework for Developing a Neurobiologically Inspired Spiking Neural Network Model for Speech Production

The computer-based simulation of the whole processing route for speech production and speech perception in a neurobiologically inspired way remains a challenge. Only a few neural based models of speech production exist, and these models either concentrate on the cognitive-linguistic component or the lower-level sensorimotor component of speech production and speech perception. Moreover, these existing models are second-generation neural network models using rate-based neuron approaches. The aim of this paper is to describe recent work developing a third-generation spiking-neuron neural network capable of modeling the whole process of speech production, including cognitive and sensorimotor components.Our neural model of speech production was developed within the Neural Engineering Framework (NEF), incorporating the concept of Semantic Pointer Architecture (SPA), which allows the construction of large-scale neural models of the functioning brain based on only a few essential and neurobiologically well-grounded modeling or construction elements (i.e., single spiking neuron elements, neural connections, neuron ensembles, state buffers, associative memories, modules for binding and unbinding of states, modules for time scale generation (oscillators) and ramp signal generation (integrators), modules for input signal processing, modules for action selection, etc.).We demonstrated that this modeling approach is capable of constructing a fully functional model of speech production based on these modeling elements (i.e., biologically motivated spiking neuron micro-circuits or micro-networks). The model is capable of (i) modeling the whole processing chain of speech production and, in part, for speech perception based on leaky-integrate-and-fire spiking neurons and (ii) simulating (macroscopic) speaking behavior in a realistic way, by using neurobiologically plausible (microscopic) neural construction elements.The model presented here is a promising approach for describing speech processing in a bottom-up manner based on a set of micro-circuit neural network elements for generating a large-scale neural network. In addition, the model conforms to a top-down design, as it is available in a condensed form in box-and-arrow models based on functional imaging and electrophysiological data recruited from speech processing tasks.
REVIEW OF COLLABORATIVE ROBOTIC SYSTEMS AND LEGAL-SYSTEM ASPECTS OF INTERACTION WITH THEM

Of significant interest to the robotics industry is the study of the multidisciplinary field ofhuman-robot interaction (HRI). Industry 4.0 (4IR) dictates the intensive implementation of roboticsolutions in all sectors of the economy and human life processes. That is why the interaction betweenoperator and cobot is one of the most relevant topics affecting the economy, labor marketand society as a whole. Currently, cobotics is one of the new breakthrough areas in robotics, anddue to the development of 4IR standards, cobots have a key advantage in automation, where fullreplacement of human labor is impossible. This collaboration of operator and collaborative robot skills will accelerate the manufacturing process and allow companies integrating cobots to becomemore competitive and minimize the process of manufacturing tasks. The purpose of the studyis to describe robotic systems and analyze the legal-system aspects of the interaction betweencobot and operator in a collaborative workspace (collaborative workspace). The objectives of thestudy are: 1) general overview of collaborative robotic systems by types: tasks to be solved, workto be performed and control; 2) consideration of existing risk assessment systems for operatorcobotinteraction. The realization of the set tasks will contribute to further research in the innovativefield of HRI, aimed at creating an environment for safe and efficient operator-cobot collaboration.The practical value of this paper also lies in the systematic approach to consider the fieldof cobotics to further explore safe collaboration scenarios. In our opinion, the most effective approachis to analyze each specific use case of a type of robot. At the same time, we note that in thecurrent realities of the rapidly growing robotics sector, it is difficult to classify and unify collaborativerobotic systems into a single act.
The Dysfunction and Remedies of Copyright Registration System in the Digital Era

In the digital age, the ever-growing development of communication technologies and their efficiency pose new challenges to the copyright registration system. Whether it is the registration demand for opuscules in the era of explosive works or the need to add the validity of registration under zero-cost dissemination, it signals a new turning point for the copyright registration system and calls for new changes. The inherent logic behind a voluntary copyright registration system lies in legal incentives and the fundamental reason for the malfunction of China’s copyright registration system in the digital age is the imperfection of intrinsic incentive mechanisms. In order to address this problem, based on the Cost-Benefit theory, the paper proposes the construction of a legal incentive mechanism for copyright registration from two aspects: reducing registration costs and increasing registration validity through intensive management, differentiated examination and an auxiliary registration system. It is expected to lower the threshold of copyright registration and meanwhile to provide practical operational standards to increase registration validity.
Mechanical Design Method and Joint Simulation Analysis of Industrial Robots Based on Trajectory Planning Algorithm and Kinematics

INTRODUCTION: At present, the development level of industrial robots is getting higher and higher, but the research on the involvement of high-level industrial robots as well as trajectory planning algorithms in China is limited. It is increasingly important to integrate the theory of kinematics in the development of industrial robots. Some industrial robots have welding, assembly and other characteristics, and play an immeasurable role in national defence, manufacturing and other fields.&#x0D; OBJECTIVES: With the development of China's industry, the manufacturing industry is changing from traditional manufacturing to intelligent manufacturing. Industrial robots have become an important tool for "intelligent manufacturing" and an important strategic emerging industry to improve the adaptability and competitiveness of the industrial market.&#x0D; METHODS: This paper provides an in-depth study of the mechanical design methodology and joint simulation analysis of industrial robots based on trajectory planning algorithms and kinematics.&#x0D; RESULTS: Research on intelligent observation, virtual reality flight trajectory and autonomous real-time flight trajectory design based on flight trajectory machines, which have made important contributions to the improvement of flight trajectory design. The wide application of industrial robots provides good development opportunities and broad market demand for industrial robot design.&#x0D; CONCLUSION: Since the reform and opening up, China's manufacturing industry has made significant progress in machinery, standardization, automation, informatization and other aspects of industrial production, but the development of China's manufacturing industry faces the problem of labour shortage. An effective way to solve this problem is to innovate, update and modernize the manufacturing industry.
Comparative Analysis of International Environmental Communication Practices of DPRK and ROK in the Perspective of Framing Theory

Since the disclosure of the plan in 2021, the incident of Japan's Fukushima nuclear wastewater discharge into the sea has been strongly concerned by the international community, especially by the neighboring Asia-Pacific countries, and it has been intensifying in recent years, and it has triggered the world's public opinion once again before the official discharge of the plan in the summer of 2023. The media industry's coverage of this issue needs to consider the cross-cutting fields of environmental, health, and international communication, making it a good case for academic research. Meanwhile, the Democratic People's Republic of Korea (DPRK) the and Republic of Korea (ROK), which are located on the Korean Peninsula and have been greatly affected by the incident, have similar linguistic, cultural, and historical backgrounds, but the existing literature has not provided satisfactory comparative studies on the media industries of the two countries, especially on the mainstream media. In this regard, under the guidance of the framework of high and low levels, this paper selects the relevant reports of the Korean Central News Agency (KCNA) and the Korea JoongAng Daily (KJD) from June to July 2023, conducts content analysis and text analysis, reveals the main points of characteristics, similarities and differences, and provides an operational basis for the establishment of a diversified international communication system.
THE MEDIATING ROLE OF CONFLICT MANAGEMENT STYLES ON THE RELATIONSHIP BETWEEN JOB CHARACTERISTICS AND EMPLOYEE PERFORMANCE

The COVID-19 virus leading to the pandemic has highly impacted many sectors, including the business sector. The pandemic and all forms of movement control orders by the authorities affecting low employee performance affect the Malaysian economy significantly. Therefore, this study examines the possible factors leading to high employee performance within SMEs. They are critical to work future, not only for creating jobs and developing the economy but also for driving market competition and innovation. The study’s respondents consist of employees in the SME sector. This study employs a quantitative method. A set of questionnaires was distributed to 287 respondents. This study used AMOS’s Structural Equation Modelling (SEM) to analyse the data. The study’s findings indicate that job characteristics and conflict management styles are significantly associated with employee performance. Moreover, conflict management styles mediate the relationship between job characteristics and employee performance. In this study, employee performance is essential to every organisation and helps increase productivity and improve customer service quality.
A Survey on Factors Preventing the Adoption of Automated Software Testing: A Principle Component Analysis Approach

Software testing is an integral yet time-consuming component of software development, and even with capable software testing resources (technology and people), it is still regarded as problematic. Test automation is widely being utilised within the software industry to provide increased testing capacity to ensure high product quality and reliability. In this paper, we are specifically addressing automated testing whereby test cases are manually written. Test automation has its benefits, drawbacks, and impacts on different stages of development. Furthermore, there is often a disconnect between non-technical and technical roles, where non-technical roles (e.g., management) predominantly strive to reduce costs and delivery time whereas technical roles are often driven by quality and completeness. Although it is widely understood that there are challenges with adopting and using automated testing, there is a lack of evidence to understand the different attitudes toward automated testing (AtAT), focusing specifically on why it is not adopted. In this paper, the authors have surveyed practitioners within the software industry from different roles to determine common trends and draw conclusions. A two-stage approach is presented, comprising a comprehensive descriptive analysis and the use of Principle Component Analysis. In total, 81 participants were provided with a series of 22 questions and their responses are compared against job role types and experience levels. In summary, 6 key findings are presented covering expertise, time, cost, tools and techniques, utilisation, organisation, and capacity
In-Field Dynamic Performance Optimization of Sensory Readout Electronics with Self-X Properties using Low Cost and Power-Efficient Indirect Measurement Method

This contribution presents the intrinsic implementation of the in-field dynamic optimization of the analog front-end readout circuitry for the robust realization of the sensory interface system.The optimization utilizes a low-cost measurement setup to optimize the performance and the power efficiency of the reconfigurable fully-differential indirect current feedback instrumentation amplifier (CFIA) to support the self-X properties (selfcalibration, self-optimization, etc).A single sinusoidal stimulus is required to optimize the CFIA characteristics by using an experience replay particle swarm optimization (ERPSO) algorithm.A power monitoring module (PMM) is integrated into the CFIA to provide the DC power information to the algorithm toward achieving powerefficient and non-harmful solutions.The chip is designed using the standard NWELL XH035 CMOS technology by XFAB.The intrinsic optimization is performed onchip, with changes in temperature ranging from -20 ∘ C to 40 ∘ C, and also by reducing the supply voltage by 25 % from the nominal value of 3.3 V.The practical evaluation demonstrates the possibility of tackling all the sources of variation.i.e, process, voltage and temperature (PVT).By utilizing the PMM, the CFIA power dissipation is reduced by 34 %, achieving an average power of 53.9 mW within the tested temperature range.The measured total harmonic distortion (THD) is -71.93 dB at = 25 ∘ C, -69.95 dB at = -20 ∘ C, and -74.01 dB at = 40 ∘ C, relative to signal stimuli with THD of -74.49dB.Initial chip testing, using a default configuration derived from
A Framework for Optimal Navigation in Situations of Localization Uncertainty

The basic functions of an autonomous vehicle typically involve navigating from one point to another in the world by following a reference path and analyzing the traversability along this path to avoid potential obstacles. What happens when the vehicle is subject to uncertainties in its localization? All its capabilities, whether path following or obstacle avoidance, are affected by this uncertainty, and stopping the vehicle becomes the safest solution. In this work, we propose a framework that optimally combines path following and obstacle avoidance while keeping these two objectives independent, ensuring that the limitations of one do not affect the other. Absolute localization uncertainty only has an impact on path following, and in no way affects obstacle avoidance, which is performed in the robot’s local reference frame. Therefore, it is possible to navigate with or without prior information, without being affected by position uncertainty during obstacle avoidance maneuvers. We conducted tests on an EZ10 shuttle in the PAVIN experimental platform to validate our approach. These experimental results show that our approach achieves satisfactory performance, making it a promising solution for collision-free navigation applications for mobile robots even when localization is not accurate.
First Detection and Tunneling Time of a Quantum Walk

We consider the first detection problem for a one-dimensional quantum walk with repeated local measurements. Employing the stroboscopic projective measurement protocol and the renewal equation, we study the effect of tunneling on the detection time. Specifically, we study the continuous-time quantum walk on an infinite tight-binding lattice for two typical situations with physical reality. The first is the case of a quantum walk in the absence of tunneling with a Gaussian initial state. The second is the case where a barrier is added to the system. It is shown that the transition of the decay behavior of the first detection probability can be observed by modifying the initial condition, and in the presence of a tunneling barrier, the particle can be detected earlier than the impurity-free lattice. This suggests that the evolution of the walker is expedited when it tunnels through the barrier under repeated measurement. The first detection tunneling time is introduced to investigate the tunneling time of the quantum walk. In addition, we analyze the critical transitive point by deriving an asymptotic formula.
CausalOps -- Towards an Industrial Lifecycle for Causal Probabilistic Graphical Models

Causal probabilistic graph-based models have gained widespread utility, enabling the modeling of cause-and-effect relationships across diverse domains. With their rising adoption in new areas, such as automotive system safety and machine learning, the need for an integrated lifecycle framework akin to DevOps and MLOps has emerged. Currently, a process reference for organizations interested in employing causal engineering is missing. To address this gap and foster widespread industrial adoption, we propose CausalOps, a novel lifecycle framework for causal model development and application. By defining key entities, dependencies, and intermediate artifacts generated during causal engineering, we establish a consistent vocabulary and workflow model. This work contextualizes causal model usage across different stages and stakeholders, outlining a holistic view of creating and maintaining them. CausalOps' aim is to drive the adoption of causal methods in practical applications within interested organizations and the causality community.