Reviewerly/exHarmony huggingface dataset:
Perceptual Video Hashing with Secure Anti-Noise Model for Social Video Retrieval

In real scenarios, videos are usually corrupted by multiple types of noise, which brings great challenges to retrieving social videos. However, most of the current video hashing methods for video retrieval consider the attack of a single noise model, and rarely discuss when dealing with complex noise models, which is not conducive to solving the above difficulties. Thus, we describe a novel video hashing with secure anti-noise model (SANM). To improve the robustness of noise attacks, the input video is reconstructed into a SANM by low-rank representation (LRR) and random subspace partition (RSP). LRR is useful technique for capturing the global structure of data. It focuses on recovering the underlying subspace in noisy environment and helps to make the proposed model robust to multiple noises. In addition, using chaotic mapping to control the generation of RSP can ensure the security of proposed model. Then, a new subspace decomposition descriptor (SDD) is proposed. SDD is obtained by calculating the invariant distances of the factor matrices obtained by tucker decomposition, and is used to decompose SANM to derive a compact hash. Various experiments demonstrate that the SANM hashing performs better than several state-of-the-art algorithms in terms of good robustness and discrimination, and it can accurately retrieve social videos.
Fertility Assessment Model For Embryo Grading Using Convolutional Neural Network (CNN)

During an in vitro fertilization (IVF), an egg cell and sperm are combined outside of the body. The selection of embryos during IVF is very important. The quality of the embryo needs to be evaluated before it may be transferred. At this moment, the quality of embryos is evaluated visually. The morphological judgment is dependent on the expertise and experience of the attending physician or embryologist. The evaluation of embryo images can be done with the use of artificial intelligence (AI), which can be utilized to achieve unbiased automatic embryo segmentation. Both supervised and unsupervised methods can be used to complete the segmentation process. CNN is utilized in this study to perform the segmentation of embryo pictures. The model that performs the best in this research makes use of typical training data and divides it up into two classes. It has an accuracy of 93.8 percent, and by using it, the research can assess whether an embryo is usable.
Pengaruh Model Joyful Learning dengan Media Power Point Interaktif terhadap Hasil Belajar Siswa Kelas V SD Negeri 193 Pekanbaru

The purpose of this study was to determine the effect of the joyful learning model with interactive power point media on the learning outcomes of fifth grade students at SD Negeri 193 Pekanbaru. This study used a quasi-experimental type with nonequivalent control group design. The research sample consisted of 2 classes using the Cluster Random Sampling technique. The sample in this study is the VB class as the experimental class and the VA class as the control class. The hypothesis test in this study uses the t-test at a significance level of 5% with the calculation t_count 6.73 &gt; t_table -1.67 this means t_count &gt; t_table which means that H_0 is rejected and H_1 is accepted. Based on these results, it can be concluded that there is an influence of the joyful learning model with interactive power point media on the learning outcomes of fifth grade students at SD Negeri 193 Pekanbaru.
On the Cost-efficiency of Automobile Insurance Fraud Detection Methods: A Meta-analysis

We suggest an improved cost savings calculation method in case of automobile insurance fraud detection. Moreover, we compare the cost saving ability of 77 fraud detection methods using heat maps and compare the cost saving ability of traditional statistics-based methods with that of machine-learning based methods, based on Romanian insurance data. The findings of this study clearly show that only a small percentage of the currently available automobile insurance fraud detection methods can be applied in a truly lucrative manner, and in general, machine-learning detection methods prove to be less cost-effective than the traditional econometric-statistic methods.
TEACHING STRUCTURE-BASED DRILLS AND COMMUNICATIVE DRILLS AT THE PRIMARY EDUCATION IN THE EFL SETTINGS

This paper investigated the differences between two teaching techniques: structure-based and communicative drills in students’ speaking achievement and the improvement of speaking aspects after implementing those two techniques. The researcher employed the experimental design in this present study. A purposive sampling was used to choose the samples of one primary education in East Lampung, Indonesia. To gather the data, the researcher used the instrument of the test. The data were analyzed by using the Indpendent-Samples T Test and Paired-Samples T-Test. The results of the study showed that there was any statistically significant difference in students’ speaking achievement between the experimental class and the control class (.004.05) and those two different techniques had improved some aspects of speaking skills in terms of grammar, vocabulary, comprehension, pronunciation and tasks.
Risks of Dealing with Virtual Currencies: Bitcoin as A Model

This research deals with the topic of the risks of virtual currencies and the possibility of investing in them, as it is one of the most important outputs of technological development in the last decade with a unique specification that some will accept as a method of payment.The research problem lies in the fact that virtual currencies are the subject of great controversy and disagreement in which there are many suspicions as it is fake and has no physical existence, from one hand, and in which you see the salvation from the control of the US dollar over the world, from the other hand.This is qualitative research the researcher relied on the descriptive, historical, and inductive approaches to answer the questions of this research and achieve its objectives.These approaches are characterized by flexibility in research and selection of appropriate tools in understanding, interpretation, and interpretation.This study reached several results, the most important of which is that there is no single legal framework within which Bitcoin and other cryptocurrencies are placed.The issue of their legality is still controversial among countries in the world, but their concept and mechanism of creation, work and exchange have become evident to everyone.The study reached several recommendations, the most important of which is that Digital currencies are growing day by day, and dealing with them may become a necessity.Therefore, jurists shall set rules that allow dealing with them after adhering to these rules.It also recommended developing a culture in society to raise awareness of the use of cryptocurrencies so that they are not exposed to any risks.
Reconfigurable all-optical bistability/tristability in dual injection-locked Fabry–Perot laser diodes

In this Letter, we present a detailed theoretical and experimental investigation of optical bistability and tristability in dual injection-locked Fabry-Perot laser diodes. The proposed device can be reconfigured between the bistable and tristable regimes, simply by adjusting the power level of the injected control optical signal. The tristability presented in the experiment is achieved for relatively low optical input powers between 1.03 and 1.25 mW, with the output signal ratio of up to 7 dB between stable states. Such a device is a potential candidate for designing trits, a bit analogy in ternary computational logic.
PREDIKSI KELULUSAN SISWA SEKOLAH MENENGAH PERTAMA MENGGUNAKAN MACHINE LEARNING

In recent years, there has been a number of students who graduated late at Lubuk Alung 1st State Junior Highschool. This statement is supported by graduation data from Lubuk Alung 1st Satet Junior Highschool. Therefore, it is necessary to predict students’ graduation status to identify which factors influence the student’s graduation, which will also consequently help the school to solve problem more easily. To solve this problem, the researchers predict student graduation based on student graduation information. The attributes used are personal data related to students, student academic data, and data related to the work of the student’s parents. This research retrieved data on student graduation from schools that have been recapitulated. The classification algorithms used to predict students’ graduation are decision tree, random forest, and extreme gradient boosting with grid searchCV and k-fold=5. The prediction accuracy using the random forest algorithm outperforms the others with a value of 99.5%.
Curriculum changes in Brazilian Librarianship and its relations with the gendering of the librarian profession

Introduction:It highlights how gender relations are inserted in the logic of power and are supported by the production of diffusion of discourses to penetrate people's daily lives and produce docile individuals. Objective: To present a theoretical discussion about howthe curricular changes of Librarianship courses in Brazil –sometimes more humanistic, sometimes more technical –influenced the process of feminization of the profession and the insertion of the profession in the list of professions notably marked by thesexual division of labor. Method:bibliographic review about the role of curricula as disseminators of discourses and power relations and in the gendering of professions; historical course of Librarianship curricula in Brazil and its insertion of gendered discourses in the librarian profession. Results:This work sought to show how the curriculum was used as a device for the dissemination of certain discourses in relation to the librarian profession and how it contributed to its feminization. Conclusion:It is proposed that the librarian profession has become feminized over time and changes in curricular focus have contributed to this movement, where the adoption of more technical curricula has contributed to the insertion of the profession in the list of professions notably marked by the sexual division of labor. Finally, it is pointed out that, from the 1980s, a timid approach of men to the area also led to a change in the curricular focus and in the discourse around the profession
Wide mastectomy and immediate reconstruction with ladis dorsi muscle for radio-induced angiosarcoma of the breast

For many years, depth map super-resolution has been a problem worthy of studying in 3D reconstruction. Although many excellent algorithms have been developed to solve this problem, depth map super-resolution at any scale has not attracted much attention. In this paper, we propose a magnification-arbitrary depth super-resolution method based on Meta-SR framework. Different from the single spatial location guidance in Meta-SR, the multiscale consistency alignment module learns a hierarchical registered discontinuities and semantic feature guidance to aggregate more structural information of the depth map and its corresponding color image. Specially, the dense pyramid deformable convolution realizes the scale expansion and improves the precision of sub-pixel upsampling from coarse to fine. A collaborative geometrical-spatial attention based weight prediction module is proposed to measure the correlation between geometrical features, spatial location and the upsampling weights, and predict a set of weight filters for reconstruction. A large number of experiments show that our method achieves satisfactory subjective and objective results on both integral and fractional scales compared with existing methods.
DIRECT MODEL REFERENCE TAKAGI–SUGENO FUZZY CONTROL OF SISO NONLINEAR SYSTEMS DESIGN BY MEMBERSHIP FUNCTION

What is discussed in this article is to find a way for membership functions optimally. In most scholars, these functions are constant and have a limited number. Therefore, in some cases, this limitation reduces control performance improvement. One of the best solutions is finding these functions in a differential form. This article used the Takagi-Sugeno function as a fuzzy detector to identify and control a nonlinear SISO system by direct adaptive reference model control. Using this method with Lyapunov for the stability of the control system makes output fuzzy linguistic variables optimally. Then simultaneously using these values, membership functions can be defined in differential form. Therefore, there is no other limitation in the variance and midpoint.
Sustainable development of the system of formal cyber education: reflection of modern concepts

The article defines the conceptual framework for sustainable development of the formal cyberworld system. An analysis of contemporary regulatory, legal, and scientific sources on the preparation of cyber specialists for the security and defense sector has been conducted. The main research methods identified are synthesis, comparative analysis, focusing method, and cause-and-effect method. The new U.S. Cybersecurity Strategy addressing cyber education issues has been analyzed, which sets new requirements for cyber professionals in the context of the transformation of the global and national security environment. The use of analysis data from EU cybersecurity educational programs revealed the characteristic variability of the cybersecurity educational landscape in the EU and helped identify key gaps in the preparation of future professionals. It has been demonstrated that the integration of Ukrainian cyber education into the Euro-Atlantic educational space should occur through the updating of cybersecurity curricula based on the best international practices, the establishment of a unified system for accreditation, certification, and the development of cyber e-learning platforms for formal education. The competency-based approach in the preparation of cyber specialists is identified as a priority direction in research across various fields of knowledge. It has been revealed that there is a hysteresis of skills within the knowledge-ability-skill triad, acquired during education, in relation to the demands of advanced technologies in professional activities.
THE TRANSFORMATIVE EFFECT OF SOUTH AFRICAN HIGHER EDUCATION POLICY FRAMEWORKS THROUGH THE LENS OF MARGARET ARCHER’S SOCIOLOGICAL CONCEPTS

After the end of the apartheid regime, the South African Government and other stakeholders have made several commitments to enhance and transform the nation's educational system, particularly higher education. To achieve this, the government implemented several educational reforms, passed legislation, and established policies. Despite some discussions and debates surrounding educational improvement, there is still a lack of comprehensive analysis that examines the specific contributions, challenges, and potential challenges of these policy frameworks in driving positive transformations. Accordingly, this research examines the transformative impact of South African Higher Education policy frameworks using Margaret Archer's morphogenetic theory as an analytical framework. The study conducts a desktop document analysis of published literature, including policy documents from the South African government, to explore the contributions and challenges of these policy frameworks. The analysis reveals a lack of significant changes in agency, social, and cultural structures, indicating the absence of morphogenesis processes. Furthermore, there is a lack of commitment from various agents to the policy objectives, particularly evident in weaknesses in fulfilling mandates and the resulting institutional instability due to student protests. The study highlights that the anticipated impact of policies, strategies, and financial resources may have fallen short of expectations regarding the transformation process. The findings contribute to understanding the limitations and effectiveness of South African Higher Education policy frameworks, offering insights into the complex dynamics between structure, culture, and agency. This research informs policymakers, educators, and stakeholders involved in higher education by providing recommendations to enhance the transformative potential of these policy frameworks. The research has broader implications for understanding educational improvement and policy frameworks in other contexts, as the insights gained from this study can be applicable and valuable to similar settings facing challenges in educational reforms..
The The Efficacy of using Wattpad to Advance Students' Writing Skills

The purpose of the study is to assess the effectiveness of implementation Wattpad as a media on students writing skill at Tenth graders of SMKN 1 Pungging. This study applied Quasi Experimental with one-group pretest and posttest design. The participants of the study were 36 students. The data was served by numerical and tested by statistical formula t-test. The data was aimed by writing test score for both pre-test and post-test. The test was scored by two scorers using the same instrument. The results of this study show that the mean score of students has increased from 69.958 to 82.466 or 0,152% after the implementation of Wattpad as media in teaching and learning writing. It merely concludes that the implementation of Wattpad is effective to enhance students’ writing skills. Moreover, the value of the t-test is 11.211 while the value of t-table significance degree of 0.05 is 1.630. It indicates that t-test is higher than t-table consequently the null hypothesis is rejected and the alternative hypothesis is accepted. Based on the consideration, it concludes that Wattpad most significantly suggestion an effective media of improving teaching to enhance student’s writing skill.
MODELLING THE REGULATORY QUALITY IMPACT ON CLOUD COMPUTING USAGE IN THE EUROPEAN UNION MEMBER STATES

Recently, the rapid development of innovative technologies based on cloud computing has been observed.Many countries are not keeping up with the relevant legislation, while cloud computing adoption requires transparent and high-quality regulations.This paper is focused on European Union member states.It checks whether the quality of regulation has an impact on cloud computing usage in EU countries.As regulations, quality data from Worldwide Governance Regulatory Quality 2021 indicator was used.Data on cloud computing usage from Eurostat questionnaires on ICT from 2021 were used.Between these variables, there is a moderate to strong linear correlation and causality.The univariate linear regression model was proposed to explain the impact of regulatory quality on cloud computing usage in a quantitative way.The regulatory quality indicator increased by one resulted in the increase in cloud computing usage by 21.56% by companies ceteris paribus.The model presented explains 40% of the variance for cloud computing usage by regulatory quality indicator.These conclusions can be valuable from the management perspective for governments that aim to increase the innovativeness and competitiveness of economies, for enterprises that consider the implementation of cloud computing services, and for non-governmental organizations that can have an impact on legislation to contribute to economic development.
The Relationship between VIII Grade of Depok Junior High School Students’ Vocabulary Mastery and the Results of Reading English

The purpose of this study was to determine the relationship between vocabulary mastery and the results of learning to read English. The research method used to analyze was a correlational descriptive method. The instruments used were in the form of a vocabulary mastery test totaling 40 questions and an English reading learning achievement test totaling 40 questions after the validity test was carried out and the instrument test was reliable which was tested on 50 samples. From the research results of the Vocabulary Mastery test, the results of the Mean (M) analysis were 26.32; The median (Me) is 34; Mode (Mo) of 21; Variant (V) 83.1776 and Standard Deviation (SD) of 9.1. From the results of the English Reading Results test, the Mean (M) was 25.4, the Median (Me) was 37, the Mode (Mo) was 38.75, the Variant (V) was 121.64 and the Standard Deviation (SD) was 11.02905254. From the calculation of hypothesis testing, it is obtained that t value = 5.4 &gt; t table = 2.484 So it can be concluded that H0 is rejected H1 is accepted. It means if there is a positive and significant relationship between the Vocabulary Mastery variable on Reading Learning Outcomes.
Pedagogics and psychology: problems associated with the problems and prospects of development

The article examines current pedagogical and psychological problems and perspectives. It touches on current trends in the development of psychological pedagog is and how to solve these problems.
TASK CENTERED SYSTEM DESIGN PADA PERANCANGAN APLIKASI MOBILE SISTEM INFORMASI AKADEMIK (Studi Kasus: UPTTIK Universitas Siliwangi)

This research was conducted to provide a User Interface recommendation on the SIMAK Mobile application. This study entitled "TASK CENTERED SYSTEM DESIGN IN DESIGN OF ACADEMIC INFORMATION SYSTEM MOBILE APPLICATIONS (Case Study: UPTTIK Siliwangi University)", uses the Cognitive walkthrough method to test the results of user interface design. Was retested using the System Usability Scale method. The results of the System Usability Scale test show a score of 88, 75 or in the acceptable category.
Extended Target Fast Labeled Multi-Bernoulli Filter

Focusing on the real-time tracking of the extended target labeled multi-Bernoulli (ET-LMB) filter, this paper proposes an extended target fast labeled multi-Bernoulli (ET-FLMB) filter based on beta gamma box particle (BGBP) and Gaussian process (GP), called ET-BGBP-GP-FLMB filter.First, a new ET-FLMB filter is derived to reduce the computational complexity of the ET-LMB filter.Then, by modeling the target state as an augmented state including detection probability, measurement rate, kinematic state and extension state, the BGBP-GP implementation of the ET-FLMB filter is presented.Compared with the traditional sequential Monte Carlo (SMC) implementation, the proposed implementation can not only greatly reduce the number of particles and the amount of computation, but also estimate the detection probabilities, measurement rates and extension states while estimating the number and kinematic states of extended targets.Finally, the simulation results show that the proposed filter can significantly reduce the computational burden and improve the real-time performance.
COSMOLOGICAL SCALE FACTOR IN THE RELATIONAL APPROACH

In recent years, within the framework of the relational approach to the description of space-time and physical interactions, a number of studies have been carried out to substantiate the observed cosmological effects. In particular, it has been shown that the cosmological redshift described by the linear part of the Hubble law and the cosmic microwave background can be the result of contributions from emitted but not absorbed electromagnetic radiation. To describe the nonlinear part of the Hubble law, a logarithmic coordinate transformation was used, associated with the existence of a limiting observed distance, expressed by the gravitational radius of the observable Universe. The use of such a transformation must be justified by showing how it can be obtained in the derivation of space-time concepts for a system of a large number of emitters and absorbers. The article provides this rationale: it is shown that when deriving classical distances in the relational approach, there are two possibilities for determining the distance scale, they correspond to the scales of comoving and proper distances in cosmology, while the scale factor is expressed through the partition function of the configurations of emitters and absorbers.