Reviewerly/exHarmony huggingface dataset:
Impact of Students’ Vocabulary Level to their Reading and Writing Performance

This study aimed to identify the impact of vocabulary level to performance in reading and writing. The study used the descriptive correlation research design to establish the relationship of the students’ vocabulary size to their reading and writing skills. Pearson's correlation coefficient (r) was used to measure the strength of relationship between the two variables- vocabulary level and reading and writing skills. Vocabulary Level Test, adapted from Nation (1990) [1], was used to measure vocabulary level, and the reading and writing final mark was used for students’ performance in reading and writing. Based on the findings, vocabulary level has significant relationship to reading and writing performance of students. The result shows that students who have average vocabulary level can achieve average performance in reading and writing courses. Vocabulary level is a valid indicator of reading and writing performance.
Survey on the Acceptance of Ambient Sensors in Solo and Older Couple-Only Households in Japan

For this study, an online survey was conducted to discover the preferences of older adults when they used sensors in their households, rather than the preferences of the researchers who developed them. The sample size was 400 Japanese community-dwelling people aged 65 years and older. The numbers of samples for men and women, household composition (single-person/couple-only household), and younger senior (younger than 74 years old) and older senior (older than 75 years old) were equally assigned. The survey results showed that “informational security” and “constancy of life” were considered more important than other factors when installing sensors. Furthermore, looking at the results regarding the type of sensors that face resistance, we found that both cameras and microphones were evaluated as facing slightly strong resistance, while doors/windows, temperature/humidity, CO2/gas/smoke, and water flow were evaluated as not facing such strong resistance. The elderly who are likely to need sensors in the future also have various attributes, and the introduction of ambient sensors in elderly households may be further advanced by recommending applications that are easy to introduce based on the attributes of the target population, rather than discussing all of them in general.
Developing English-Based Pop Up Book Media to Increase the Early Childhood’s Motivation

This study aims to develop a Pop Up Book media for increasing motivations early childhood. Therefore, learning media is needed that can facilitate students in learning, one of which is Pop Up Book media. Pop-up book media. Pop-up books are books that have moving parts or have three-dimensional elements and provide a more interesting visualization of the story, starting from the display of images that can move when the page is opened. With the guidance of the teacher, students can write descriptive text by looking at the pictures and vocabulary in the Pop Up Book. The design of this research is research and development or research (R&amp;D).The development model used is ADDIE (analysis, design, development, evaluation, implementation) using the Dick and carry development model. The results of this study indicate that the level of product feasibility by material experts and media experts is included in the valid category and is suitable for use but needs to be revised. From the results of the design expert data, the results of the Pop-Up Book learning media are valid and feasible to be applied learning to increase early childhood’s motivations. Based on the results of the validation that has been carried out by the material expert, it can be seen that validation of the material expert obtained an average score of 96,66% With the criteria “very good”. And based on the validation results that have been carried out by design experts, it can be seen that the value is 96% with criteria “very good”.
The Role of Administrative Empowerment in Organizational Effectiveness: Pilot Study in the Applied Research Unit in Renewable Energies in Ghardaia

This study discussed the role of administrative empowerment in organizational effectiveness in theenterprise under study-Ghardaia , and to achieve this, a questionnaire was designed and distributed to the employees of the studied institution،were used statistical packages for social sciences spss la analyze the questionnaire data and testing of hypotheses.The study found an effect of experience on organizational effectiveness, as it was found that there is an inverse relationship between delegation of authority and organizational effectiveness, as well as the absence of an effect of training on organizational effectiveness in the studied institution. It recommended the necessity of adhering to social responsibility and focusing oversight on privatematters only to achieve greater organizational effectiveness
Internet kao izazov zaštiti autorskih i srodnih prava

With the advancement of information technologies, the protection of copyright and related rights has faced numerous challenges that tend to make the existence of copyright and related rights meaningless and create a dilemma between rights and freedom.The traditional understanding of the protection of these rights no longer corresponds to reality and the many ways in which they are abused.The Internet has become a fertile ground for unrestricted acts of infringement such as unauthorized access and use of copyright, plagiarism, forgery and piracy.The most numerous obstacles to exercising absolute rights in this area are disputes over territorial jurisdiction due to the globalization of society, a large number of cases that successfully develop case law, but are not accompanied by the same speed of regulation, as well as insufficient information of users about digital content protection on Internet platforms.The main questions to which the paper will offer answers concern obstacles to the regulation of copyright and related rights in cyberspace, both internationally and nationally.
Quantum Neural Networks: Bridging Quantum Computing and Machine Learning

The usage of QNNs is one approach that might be used to close the knowledge gap that exists between the domains of machine learning and quantum computing. As a result of this research, a full analysis of QNNs has been offered, covering a wide range of issues including their theoretical underpinnings, training techniques, benefits, limits, applications, and assessment methodologies. Quantum neural networks, also known as QNNs, are a type of artificial neural network that makes use of the power of quantum computing. These networks provide the promise for a significant improvement in processing speed as well as greater representation capabilities. On the other hand, in order to make full advantage of the benefits that QNNs give, obstacles such as scalability concerns and hardware restrictions need to be addressed and fixed. The fact that QNNs have the potential to be applied in such a broad range of different sectors is evidence of both the adaptability and the significance of this rapidly developing field of study. It will be necessary to do more study and investigation if there is to be any hope of making headway in the field of quantum machine learning with regard to the creation of QNNs and of realizing their full potential.
FOMO and Conformity Consumption: An Examination of Social Media Use and Advertising Online among Egyptian Millennials

Due to the current increase of social media usage and online advertising, multiple scholars were able to relate this to consumer behavior.This study is done with the aim to investigate the mediating role of FOMO (fear of missing out) and how it intervenes the relationship between social media usage, advertising online, and conformity consumption.The target group of the study is Egyptian Millennials.The researcher collected data from 384 Egyptians from the Millennial group, aging between 25 and 40 in the year 2022, and utilized a quantitative approach that is self-administered surveys.Findings suggest that social media usage and advertising online have a significant positive impact on FOMO, which acts as a mediator between these variables and conformity consumption.Findings of this study hold significant academic and practical implications for marketers, scholars, and policy makers.
Small Area Estimation of Illiteracy Rates based on Beta-Binomial Model using Hierarchical Likelihood Approach

Small Area Estimation (SAE) is a statistical method used to estimate parameters in sub-populations with small samples.This study aims to develop a Beta-Binomial model on SAE with a Hierarchical Likelihood (HL) approach.The model built is called the SAE-BB-HL model.This research begins by deriving a formula for estimating model parameters analytically.A good fit is calculated with the Mean Square Error of Prediction (MSEP) and bias.This study used simulation data and data from the National Socio-Economic Survey (SUSENAS) and Village Potential (PODES) of Bengkulu Province for 2021 collected by Statistics Indonesia (BPS).The simulation study aims to evaluate the SAE-BB-HL model.Simultaneously, the application study aims to predict the illiteracy rate per sub-district in Bengkulu Province.The simulation study results show that the parameter estimates of random area distribution are very close to the actual parameters.It also reveals that the bias and MSEP estimates of the proportion of HL are lower than the direct estimates.In addition, the results of this study show that the SAE-BB-HL model can improve the accuracy and precision of proportion estimation.Applying the SAE-BB_HL model to real data shows that the predictive value of the illiteracy rate tends to be higher when compared to the direct estimator.
Entropy-Based Statistics and Their Applications

During the last few decades, research activity in modeling the properties of random systems via entropies has grown noticeably across a wide spectrum of fields [...].
Adaptive Particle Swarm Optimization With Quantum-Inspired Quantum Walks for Robust Image Security

In this paper, we propose a novel image cryptosystem that combines the adapted Particle Swarm Optimization (PSO) algorithm with a quantum-inspired Discrete-time Quantum Walk (DTQW). The proposed approach leverages the strengths of both PSO and DTQW, integrating them to achieve high security and efficiency in image encryption. The main contribution of this work lies in the development of this unique cryptosystem. While previous approaches have separately explored PSO or DTQW, our integration of these two techniques offers a novel and innovative approach. By employing chaotic sequences generated by a 3-D chaotic system and a controlled DTQW model, our cryptosystem demonstrates a high sensitivity to even slight changes in the original image. This sensitivity ensures that minor modifications in the plaintext lead to significant changes in the ciphertext, enhancing the system’s resistance against attacks. Simulation outcomes prove that the proposed encryption mechanism has high security as well as high effectiveness.This makes it well-suited for practical implementation in a post-quantum computing era.
Coulomb-mediated antibunching of an electron pair surfing on sound

Electron flying qubits are envisioned as potential information link within a quantum computer, but also promise -- alike photonic approaches -- a self-standing quantum processing unit. In contrast to its photonic counterpart, electron-quantum-optics implementations are subject to Coulomb interaction, which provide a direct route to entangle the orbital or spin degree of freedom. However, the controlled interaction of flying electrons at the single particle level has not yet been established experimentally. Here we report antibunching of a pair of single electrons that is synchronously shuttled through a circuit of coupled quantum rails by means of a surface acoustic wave. The in-flight partitioning process exhibits a reciprocal gating effect which allows us to ascribe the observed repulsion predominantly to Coulomb interaction. Our single-shot experiment marks an important milestone on the route to realise a controlled-phase gate for in-flight quantum manipulations.
Analisis Etika Profesi Akuntan dalam Standar Internasional

This study discusses the ethical analysis of the accounting profession in international standards. Accountants are one of the important professions in the business world because they are related to finance, therefore it is obligatory for an accountant to apply the ethics of the existing accounting profession. The purpose of this study was to find out the violations of the accounting profession's ethics that occurred. Professional ethics are intended as guidelines and rules for all members, whether practicing as auditors, private workers, workers in government agencies, or in the world of education. The method used is a type of library research, namely research is carried out only from written works, both research results that have been published and those that have not. This study uses qualitative data collection using existing data, such as using data reduction and then drawing conclusions using logic, aesthetics, and ethics. This research was made by examining the acquisition of secondary data sourced from other parties.
Enhancing nonclassical properties of quantum states of light using linear optics

In this Letter, we present a simple and versatile scheme for enhancing the nonclassical properties of light states using only linear optics and photodetectors. By combining a coherent state | α 〉 and an arbitrary pure state of light | ϕ 〉 (excluding coherent states) at two beam splitters, we show that the amplitude α of the coherent state can be tuned to filter out specific Fock components and generate states of light with increased nonclassical features. We provide two examples of input states and demonstrate the effectiveness of our scheme in enhancing the sub-Poissonian statistics or the quadrature squeezing of the output states.
The Effects of Self-Monitoring Checklist containing Self-Management Intervention on Work Productivity for Student with Intellectual Disability who placed in special schools’ majoring courses

The purpose of this study was to analyze the effects of using self-monitoring checklist containing self-management intervention on work productivity. For this purpose a student with intellectual disability who placed in special schools’ majoring courses was selected as a participant, and the experiment was conducted in a structured classroom setting. For this study, a multiple probe design across settings was used to identify a potential functional relationship between independent and dependent variables. The independent variable of this study was the self-management intervention which was materialized as ‘Self-Monitoring card’ including self-monitoring, self-evaluation, and self-reinforcement. The dependent variable of this study was the student’s work productivity which was measured by the number of products and the ratio of products without error at one period. During the intervention student’s work productivity was improved in all working settings, and the improved work productivity was maintained or more improved after the intervention. The result from this study demonstrated that the self-monitoring checklist has a positive effects on student’s work productivity.
Application of Augmented Reality-Based Solar System Recognition Using Metaverse Studio

Learning media is currently developing with various innovations, especially in utilizing information technology. One of the technologies used for the learning process is Augmented Reality (AR). The purpose of the research is to provide alternative learning media using information technology, especially focusing on the use of AR. The learning that will be developed in this case is learning aimed at children to introduce learning about the solar system using interactive AR. The content of the learning media developed includes several things, namely learning the solar system and quizzes to test children's knowledge about the solar system. The research method used in developing learning media uses the Research and Development (R&amp;D) method. The application development process can be done by adding features. The results of this study produce an AR-based application that describes learning the solar system in 2D/3D form and is equipped with a quiz to train children's knowledge.
Sosialisasi Perhitungan Numerik Terkait Forecasting Pengunjung Hotel (Studi di Hotel Primebiz Surabaya)

The huge increase in the number of hotels has led to stiff competition. In the past, competition generally emphasized the quality of hotel services and facilities, but now it is also necessary to improve the ability to manage hotels efficiently. The Covid pandemic has forced hotel management to think and work hard to increase revenue and reduce costs without reducing the quality of service to guests who stay overnight. Hotels that are managed efficiently will be able to win the competition. Therefore, making forecast models and accurate estimates will help hotel managers manage hotels effectively and efficiently, so it is necessary to develop software for forecasting and estimation systems. In this community service activity, we synergize management knowledge with mathematics so that it can be used more easily, accurately, effectively and efficiently in hotel management. In this activity socialization of simulations or numerical calculations related to hotel visitor forecasting is carried out.
Implementasi dan Analisis Metode MOORA dan SMART pada Pemilihan Platform Jual Beli Online menggunakan Decision Support System

Online buying and selling transactions have become a necessity and routine for generation Z in the era of technology 4.0. This phenomenon is an effect caused by the existence of the internet. The internet innovates for software developers to create communication applications without meeting face-to-face. Due to the rapid development of the internet, many online buying and selling platforms have emerged and are used by online shopping activists, especially generation Z. Of course, the various trading platforms have differences in appearance and usability. So it is necessary to research selecting the ideal platform using the Decision Support System as the data processing system. While the methods used are the MOORA and SMART methods, the two approaches will analyze the differences in the calculation results and the advantages of each technique. The results of the MOORA method are inversely proportional to the SMART method, but the difference is only that the difference in the final scores is not that great. Hence, the two approaches are ideal for a Decision Support System.
Machines as Collaborators for Art and Rituals

We spoke with artist Sougwen Chung about her views on human-machine collaborations; where her machines are evolving multigenerational configurations of collaborators that drive her understanding of both the emerging technologies and the human experiences of co-creating and collective rituals.
TEXT CLASSIFICATION OF TWITTER OPINION RELATED TO PERMENDIKBUD 30/2021 USING BIDIRECTIONAL LSTM

During the COVID-19 outbreak, sexual violence in Indonesia has risen. Sexual abuse is prevalent even within the realm of education. Many incidents of sexual assault are reported within the higher education sector. The Ministry of Education, Culture, Research, and Technology published Decree of the Minister of Education and Culture Number 30/2021 (Permendikbud 30/2021) on the Prevention and Handling of Sexual Violence in Higher Education in an effort to prevent sexual violence on campus. This regulation's issuance has become a popular topic of discussion on social media. Twitter is one of the social media platforms where opinions are expressed. The publication of Permendikbud 30/2021 elicited a variety of views, from those who supported the rule to those who did not. This study's objective is to categorize tweets about Permendikbud 30/2021. Bidirectional LSTM (BiLSTM) was utilized to classify data in this study. The accuracy values are 87%, the precision values are 82%, and the recall values are 96% based on the findings of the analysis comparing training data of 80% to testing data of 20%.
Multi-Objective Reptile Search Algorithm Based Effective Image Deblurring and Restoration

Images are frequently affected because of blurring, data loss occurred by sampling and noise occurrence. The images are getting blurred because of object movement in the scenario, atmospheric misrepresentations and optical aberrations. The main objective of image restoration is to evaluate the original image from the corrupted data. To overcome this issue, the Multi-Objective Reptile Search Algorithm is proposed for performing an effective Image Deblurring and Restoration (MORSA-IDR). The proposed MORSA is used in two different processes such as threshold and kernel parameter calculation. In that, threshold values are used for detecting and replacing the noisy pixel removal using Deep Residual Network (DRN), and estimation of kernel is performed for deblurring the images. The main objective of the proposed MORSA-IDR is to enhance the process of deblurring for recovering low-level contextual information. The MORSA-IDR is evaluated using Peak SignalNoise Ratio (PSNR) and structural similarity index (SSIM). The existing research such as Enhanced Local Maximum Intensity (ELMI) prior and Deep Unrolling for Blind Deblurring (DUBLID) are used to evaluate the MORSA-IDR.The PSNR of MORSA-IDR for image 6 is 30.98 dB which is high when compared to the ELMI and DUBLID.
EFEKTIVITAS MODEL PEMBELAJARAN ARIAS TERHADAP MOTIVASI DAN HASIL BELAJAR SISWA KELAS IV SEKOLAH DASAR

This research aims to determine the effectiveness of using the ARIAS model on the motivation and learning outcomes of fourth grade elementary school students. The research conducted in this research is quantitative research. The method used in this study was a quasi-experimental research design with nonequivalent (pretest and posttest) control group design. The research sample consisted of 60 students consisting of 30 students in class IVB as the experimental class and 30 students in class IVC as the control class. Data was collected using a questionnaire sheet to determine learning motivation and a test sheet to determine student learning outcomes. The data analysis used was t-test analysis with a significance level of 5%. The results showed that: (1) there was an effectiveness of the ARIAS model on learning motivation by obtaining a sig 2 tailed value of 0.009&lt;0.05 and tcount 2.822 &gt; ttable 1.671, (2) there was an effectiveness of the ARIAS model on student learning outcomes by obtaining a sig 2 value tailed of 0.018&lt;0.05 and tcount 2.508 &gt; ttable 1.671. Thus, there is the effectiveness of using the ARIAS model on the motivation and learning outcomes of fourth grade elementary school students.
Pojedini patentnopravni aspekti primene veštačke inteligencije

Artificial intelligence represents a new page in worldwide technological development. This development infuences all scientifc felds, including law, especially intellectual property law, as a branch of the legal science. In the following paper, the author examines the infuence that artificial intelligence has on patent law. Not every aspect of this infuence is examined, but only those considering the emergence of the patent. Firstly, the defnition and application of artificial intelligence is examined, and then the patent law aspects of artificial intelligence application: artificial intelligence as an invention, artificial intelligence as an inventor, and artificial intelligence as an examiner. The aim of the paper is to describe and predict the future potential infuence that artificial intelligence has on emergence, prerequisites, and subjects of patent.