Reviewerly/exHarmony huggingface dataset:
English Teacher’s Strategies in Teaching Vocabulary to Young Learners at Elementary Level An-Nahl Jambi

The purpose of this study was investigating English teachers’ strategies and also the dominant strategies used by English teachers in teaching vocabulary to young learners at Elementary Level An-Nahl Jambi. The subject of this study was an English teacher at Elementary Level An-Nahl Jambi. The investigation of this study was done through qualitative method with observation and interviews. The observation checklist, interview protocol, and video recorder were used as instruments for this study. The observation was done once in grade two which consists of three classes and the interview was done approximately 30-60 minutes two times. The findings of this study showed that there were five strategies used by teachers in teaching English vocabulary to young learners at Elementary Level An-Nahl Jambi. They were games, small groups, role-play, brainstorming, and demonstration. There were also the dominant strategies used by the teacher in teaching vocabulary to young learners are games and small groups.
An Empirical Investigation of Bitcoin Hedging Capabilities against Inflation using VECM: The Case of United States, Eurozone, Philippines, Ukraine, Canada, India, and Nigeria

This study examines Bitcoin's potential as an inflation hedge in different countries, including the United States, the Eurozone, the Philippines, Ukraine, Canada, India, and Nigeria. The study reveals varying results across countries using the Vector Error Correlation Model (VECM) with secondary monthly data from January 2012 to June 2023 for Bitcoin prices and inflation rates. Bitcoin exhibits an insignificant short-term relationship in the United States but a significant long-term negative correlation, suggesting it may not be a reliable inflation hedge. Similarly, no significant relationship was found in the Eurozone, the Philippines, Ukraine and Nigeria, indicating Bitcoin's limited effectiveness as an inflation hedge. Contrastingly, the study identifies a significant positive relationship between Bitcoin and inflation in Canada and India, indicating potential hedging against inflation within these economies. Therefore, investors, portfolio managers, and policymakers should consider these country-specific findings when evaluating Bitcoin's role as an inflation hedge. Furthermore, this study contributes valuable insights into cryptocurrencies and their potential in financial risk management.
Cyber-warrant searches and the admissibility of seized smartphone data evidence at trial

A validly issued cyber-warrant is a primary investigating tool in the seizure of smartphone data content and may be the only lawful method of obtaining relevant data-file evidence about the cyber-offence culpability of a co-perpetrator, accomplice, or accessory. A cyber-warrant for the seizure and search of a portable handheld smartphone, or minicomputer, must be drafted in a manner that is procedurally different from the warrant for the seizure of a desktop or laptop computer. This article critically examines the warrant procedures for accessing and searching relevant data files stored in a smartphone’s default storage mediums and downloaded applications. These technical procedures are described in the Cybercrimes Act, indirectly in the Electronic Communications and Transactions Act, the Criminal Procedure Act, and related Acts. This procedural analysis is based on a revised principle of smartphone cyber-intelligibility, and the application of the sub-principles of cyber-offence particularity and data-access specificity. The substantive issue of cyber-privacy and the procedural issue of chain-of-data evidence custody is briefly examined.
A Study of Blockchain Applications and Challenges in the Contemporary Business World

The underlying mechanism of many digital currencies is referred to as blockchain technology. This entails a decentralized and distributed block network that preserves data using digital signatures. The unique features of blockchain technology, including decentralization, transparency, immutability, and auditability, make transactions more secure and resistant to tampering. Blockchain technology has many applications beyond cryptocurrencies, including managing security, healthcare, financial, and social services. Numerous studies have focused on the potential that blockchain technology offers in different fields of applications. This paper compares various consensus mechanisms, explains the taxonomy and architecture of blockchain, and discusses challenges like scalability, privacy, interoperability, energy consumption, and regulatory issues. It also shows a comparative study of the tradeoffs of blockchain. The future application of blockchain technology is also mentioned in this study.
A Tagging Model using Segmentation Proposal Network

This paper presents a tagging model used the Segmentation map as reference regions. The suggested model leverages an encoder-decoder architecture combined with a proposal layer and dense layers for accurate object tagging and segmentation. The proposed model utilizes a pre-trained VGG16 encoder to extract high-level features from input images, followed by a decoder network that reconstructs the image. A proposal layer generates a binary map indicating the presence or absence of objects at each location in the image. The proposal layer is integrated with the decoder output and further refined by a convolutional layer to produce the final segmentation. Two dense layers are employed to predict object classes and bounding box coordinates. The model is trained using a custom loss function that combines categorical cross-entropy loss and means squared error loss. Experimental results demonstrate the effectiveness of the proposed model in achieving accurate object tagging and segmentation.
Quantum computing specificities with the application to quantum teleportation

The work explains quantum computing theoretical-physical basis from where quantum information processing specific features are deduced. Thereupon, quantum information processing logical representation is laid down through quantum circuits paradigm, some quantum gates of theoretical importance are defined and special attention is dedicated to existence of universal quantum gates set. Finally, an example of quantum circuits paradigm application to entangled states generation and quantum teleportation realization is exposed.
Mineral classification on Martian surface using CRISM hyperspectral data: a survey

The compact Reconnaissance Imaging Spectrometer for Mars (CRISM) has significantly advanced our understanding of the mineralogy of Mars. With its enhanced spectral and spatial resolution, CRISM has enabled the identification and characterization of various minerals on the Martian surface, providing valuable insights into Mars’ past climate and geologic history, as well as the evolution of the planet’s atmosphere and climate. We present a comprehensive review of mineral identification on Mars using CRISM data. We discuss the data description, pre-processing techniques, different spectrum libraries, geological characteristics used for mineral identification, challenges, and methodologies used for mineral classification, such as learning models, probabilistic methods, and neural networks. We highlight major findings of minerals on the Martian surface and discuss validation techniques. We conclude with a discussion of further research to address the existing gaps and challenges in this field. Overall, we provide a general understanding of mineral classification using CRISM data and could serve as a helpful resource for researchers and scientists interested in planetary remote sensing and mineral identification on the Martian surface.
Nigeria: Deadly Boat Accidents

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 60, Issue 9 p. 24446C-24446C Policy and Practice Nigeria: Deadly Boat Accidents First published: 10 November 2023 https://doi.org/10.1111/j.1467-6346.2023.11310.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume60, Issue9November 2023Pages 24446C-24446C RelatedInformation
Visualization and efficient generation of constrained high-dimensional theoretical parameter spaces

A bstract We describe a set of novel methods for efficiently sampling high-dimensional parameter spaces of physical theories defined at high energies, but constrained by experimental measurements made at lower energies. Often, theoretical models such as supersymmetry are defined by many parameters, $$ \mathcal{O} $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>O</mml:mi> </mml:math> (10 − 100), expressed at high energies, while relevant experimental constraints are often defined at much lower energies, preventing them from directly ruling out portions of the space. Instead, the low-energy constraints define a complex, potentially non-contiguous subspace of the theory parameters. Naive scanning of the theory space for points which satisfy the low-energy constraints is hopelessly inefficient due to the high dimensionality, and the inverse problem is considered intractable. As a result, many theoretical spaces remain under-explored. We introduce a class of modified generative autoencoders, which attack this problem by mapping the high-dimensional parameter space to a structured low-dimensional latent space, allowing for easy visualization and efficient generation of theory points which satisfy experimental constraints. An extension without dimensional compression, which focuses on limiting potential information loss, is also introduced.
Pemahaman Makna Kata Bahasa Indonesia Terhadap Mahasiswa NTT Yang Menempuh Pendidikan di Unitomo Surabaya

Often understand the meaning of words and sentences in the everyday world with misunderstandings or mistakes that are considered always true. So that makes the word or the meaning of the Indonesian word itself wrong. Therefore this research is present as a justification for the correct meaning of words in accordance with the rules of the Indonesian language. This research is in the form of a quantitative descriptive research that uses the theory of field work with NTT students who are studying at UNITOMO Surabaya with different study programs. The data used is filling out a questionnaire with the title "Guess the correct Indonesian word questionnaire". overall total of 100 points. Below are examples of words that have been interpreted according to (KBBI) namely recreation, steadfast, imaginative, illegal, rector, julid, auditorium, bazaar, magnificent, and sidewalk. Only 9 words are considered correct according to the rules of the Big Indonesian Dictionary (KBBI). As for 1 question that is considered misguided or wrong in answering it. There are several factors that cause this meaning to be correct, namely (1) looking at the mass media in more detail, (2) listening from friends around (the community), looking at the meaning in the dictionary (3) it is often used as a discussion in the everyday world. Efforts to correct the meaning which is considered to be misguided is the way to answer it by correcting the Indonesian language dictionary and obliging the mass media to find out in more detail the meaning
Penggunaan Model ICARE dengan Media Make and Match untuk Meningkatkan Hasil Belajar pada Pelajaran PAI

Model ICARE is a framework that is used as a guideline in carrying out learning activities. To improve the learning outcomes as desired, the researcher applies Make and Match media as supporting model to improve student learning outcomes. Make and Match media itself is a learning media that prioritizes the cultivation of social skills, especially the ability to work in team, interact with people, and the ability to think fast and critical through the game of finding a partner with the help of cards. After implementing the model ICARE with Make and Match Media, students improved their learning skill. In the pre-action learning activities, the number of students who got a score above the KKM was 2 students or 6.7% with a score of 80. In the first cycle of action the number of students who completed it was 13 students or 43.3% with a score of 80. And in the second cycle of action the number of students who got a score above the KKM totaling 30 students or 100% with a score of 80 as many as 21 students or 70%, 6 students got a score of 90 or 20% and students who got a score of 100 were 3 students or 10%.
Education Policy of 3RD Generation Universities

Background: One of the tasks of the education policy of any state is the spread of its influence in the international arena. Today, universities are striving to take and strengthen their positions in the world ranking systems, demonstrating the status and reputation of universities in the global market of educational services. This ranking serves as a guideline for future students and their parents when choosing a place to receive a prestigious education and in the formation of individual trajectories of vocational training. Approach: There are several approaches in the world to determining the criteria for assessing a state's education policy. But despite the differences, they all document the growing role of modern universities in the development of society. In many respects, it is important both in terms of guaranteeing the sustainability of society and in terms of ensuring a breakthrough direction in its development. In contrast to recent times, this role has grown significantly. Due to the fairly conservative and limited social system in its function, such universities become a central link in the development of innovative economies and social spheres - the science that produces the socio-economic development of a particular region, Education, innovation centers, national or as well as global processes. Results: It covers all areas of the university, from cooperation with students to financial and scientific activities. A prime example of such an association is the International Strategy Advisory Service (ISAS 2.0) of the International Association of Universities or Universities (IAU). Conclusions: Around the world, states are trying to stimulate and support these processes. In many countries, this is facilitated by opposition from high-tech companies to the reduction of the final amount of independent basic and applied research, in favor of collaborating with universities on basic research projects. As part of its innovative activities, University 3.0 is involved in supporting business activities, analysis and consultation by experts from local governments and local authorities, opening facilities, and infrastructure for citizens, monitoring regional development, services to citizens are provided for lifelong learning and support student entrepreneurship projects that take into account the interests of the community.
THE INFLUENCE OF KWL LEARNING METHODS (KNOW, WANT, LEARN) AND INTEREST IN READING ON READING COMPREHENSION LEARNING OUTCOMES

This research aims to investigate the impact of the Know, Want To Know, Learned (KWL) learning method and students' interest in reading on the learning outcomes of reading comprehension in VIII class of MTs Daar el-Qolam IV. The study is motivated by the low English language learning outcomes in the understanding concept and the lack of reading interest among students. Therefore, the researcher implements the KWL model to address the challenges faced by the students. The method employed in this research is an experiment with a 2x2 treatment by level design. The population consists of all VIII students of MTs Daar el-Qolam IV, totaling 191 students. The sample was taken using the simple random sampling technique, comprising 76 students divided into two groups; the experimental class (A1) being class VIII-B with 36 students, and the control class (A2) being class VIII-C with 40 students. The research findings indicate that (1) the KWL model is more effective when used by students compared to the conventional method commonly used, namely the Think Pair Share (TPS) method. (2) Additionally, the results also demonstrate that students with a high interest in reading have higher learning outcomes compared to students with low reading interest. (3) There is an interaction between students who undergo the learning process using the KWL method and students using the TPS learning method. (4) Students with high reading interest in the KWL group have higher reading comprehension learning outcomes compared to students in the TPS group, even though they both have high reading interest. And (5) Students in the KWL group with low reading interest also have high reading comprehension learning outcomes compared to students in the TPS group with low reading interest.
DEVELOPMENT OF LEARNING MEDIA ASSISTED BY THE APPLICATION OF MACROMEDIA FLASH 8 TOPICS OF COMPUTER HARDWARE IN THE SUBJECT OF TIK AT MTS DAAR AL-ILMI SERANG

This Research aims to: 1) Develop learning media with systematic steps according to the rules in developing Information and Communication Technology learning media, and 2) knowing the feasibility of learning media applications developed. This research is a Research and Development (R&amp;D) research. This research stages was carried out using ADDIE’s research model starting with analisys activities, desain, development, implementation and evaluation stages which is the final stage of the product produced. The trial was conducted on students of class VII MTs Daar Al-Ilmi Serang. Data were obtained through a questionnaire consisting of validation instruments, practicality instruments and effectiveness instruments. The assessment of 2 (two) validators on Macromedia Flash 8 learning media produces a percentage of 95% this shows that Macromedia Flash 8 is very valid to use as a learning resource. The results of the assessment of 34 students to determine the value of practicality and effectiveness obtained a percentage of 88.055% for practicality and 92.79% for effectiveness. It can be said that Macromedia Flash 8 is very practical and effective to use as a learning resource
THE INFLUENCE OF USING MAKE A MATCH TECHNIQUE TOWARDS STUDENTS’ SPEAKING ABILITY

This research is aimed to know the influence of using make a match technique towards students’ speaking ability at Eight Grade of SMPN 3 Kaduhejo. The researcher would like to find the formulation of the problem about Speaking Ability at eight grades of SMPN 3 Kaduhejo. In this research, researcher used Quantitative research in implementing the quasi experimental design as the research method. The sample that was used in this research was the students of VIII A as the experimental class and VIII B as the control class. Researcher used 47 students as a sample from both of classes. Researcher used SPSS Version 25 to find out the result Pretest and Posttest. Based on the result of the research there was a positive influnece towards students speaking ability which was taught by applying make a match technique. It can be seen from the result of independent samples test that students who were taught by using Make a Match Technique. (experimental group) got score 0.002 which the hypothesis if the score lower than 0.05 then Ha is accepted. Meanwhile, for determining the result of students’ average score from the same group, the researcher decided to use paired samples test. The result showed that alternative hypothesis is accepted because the result of paired samples test was 0.000 which lower than 0.05.
Assessing the Performance of Transformer for Time Series Anomaly Detection

This study aims to assess the effectiveness of the Transformer-based reconstruction approach for detecting anomalies in time series data. The reconstruction error-based anomaly detection method was applied to both multivariate time series from NASA SMAP/MSL and univariate time series from UCR. Four deep learning models, including Transformer, Dilated CNN, LSTM, and MLP, were compared in terms of their ability to reconstruct input data. Dilated CNN outperformed the other models in almost all experimental results, achieving a 25% higher score than Transformer on the UCR dataset when trained with random masking, and a 60% higher score when trained with middle masking. These results suggest that the Transformer did not perform as well as expected for anomaly detection based on time series reconstruction errors, and its inferiority to Dilated CNN may be attributed to the characteristics of the time series and the limited training data. Future research should focus on developing Transformer models that can better capture the properties of time series data and investigate the relationship between the model’s performance, data volume, and model complexity.
AI Ethics and Bias: Exploratory study on the ethical considerations and potential biases in ai and data-driven decision-making in banking, with a focus on fairness, transparency, and accountability

The integration of Artificial Intelligence (AI) and data-driven decision-making in the banking industry has ushered in unprecedented opportunities for efficiency, risk assessment, and customer service. However, this rapid adoption of AI technology comes with its own set of ethical considerations and potential biases. This research paper delves into the intricate landscape of AI ethics and bias within the banking sector, with a central emphasis on fairness, transparency, and accountability. In sum, this paper contributes to the ongoing discourse on AI ethics and bias by providing valuable insights into the ethical considerations and potential biases inherent in AI and data-driven decision-making within the banking sector. It underscores the necessity of fairness, transparency, and accountability as guiding principles in the responsible integration of AI technology in banking, while also presenting future research directions for this evolving field.
STUDENT’S PERCEPTIONS OF THE USE OF GOOGLE MEET DURING THE LIMITED FACE-TO-FACE LEARNING PERIOD

This research aims to describe student’s perceptions of the use Google Meet during the limited face-to-face learning period at English Education Study Program University of Billfath. This research employed descriptive quantitative research techniques in the form of surveys. An online questionnaire created with Google Forms was used as the research instrument. The result of student’s answer through the questionnaire given showed good category. There were 60% of students strongly agree with the statement that Google was easily accessible, 52% of students strongly agree with the use of Google Meet, they could still understand the material given during lectures, 44% of students strongly agree that the use of google meet during online learning was effective, and 40% of students were highly motivated to participate in learning by using google meet. Thus, it could be concluded that online learning using Google Meet during the limited face-to-face learning period was quite good and effective.