Reviewerly/exHarmony huggingface dataset:
Pengaruh Model Pembelajaran Simas Eric Terhadap Kemampuan Berpikir Kritis Siswa Pada Materi Jaringan Tumbuhan

Abstracts written in Indonesian with a maximum of 250 words. Times New Roman, 12, justify text. Abstract contains a brief research background, the novelty and the significance of research, the purpose of research, a brief research method, a brief results of the research, and conclusions.
Concerns about harmful content on Twitter/X will rise

Significance While other social media platforms are witnessing a similar increase in harmful content, that at Twitter/X has been the most dramatic, making it a particularly problematic but influential platform. Impacts Increases in hate speech, violent conspiracies and disinformation on Twitter/X fuel risks of offline attacks against targeted groups. As online harms continue, the third-party trust and safety industry will expand despite the social impact on human moderators. As tech sector revenues stabilise, and European legislation takes effect, platforms will face pressure to reinstate internal safety teams.
Reading English Texts in Primary School – Challenges and Shared Experience

Reading is one of the basic skills that each child has to cover while in school. But there are some other skills that each child has to master before starts reading. In this article I will focus on the pre-reading skills, how to use them and how to make reading fun and easy for the children in primary school. They are all easy and fun to use, but I will focus on the problem that we do not have enough time to use them in state schools and what we can do to implement them in our classes.
Preface

The 2023 2 nd International Conference on Machine Vision, Automatic Identification and Detection (MVAID 2023) took place in Hangzhou, China from April 14 th to 16 th , 2023, with the attendance of about 60 people. MVAID 2023 focused on research areas such as Computer Vision, Image Processing, Document Processing and Recognition, Advanced Learning Methods, Sensor Technique &amp; Application, Image Forensics and Identification, etc. The main goal was to bring together basic scientists, researchers and developers engaged in machine vision, automatic identification and detection to bridge the gap between research needs and advanced technological solutions. MVAID 2023 provided an opportunity for researchers and related personnels to present their recent theoretical developments and practical applications as well as to discuss unsolved problems. It also fostered research and development in machine vision, automatic identification and detection. The Program of the Conference was divided into three main topics. First day of the Conference was devoted to registration for all the participants. The second day was focused on keynote speech, oral and poster presentation, as well as discussion on the talks and the whole meeting. Academic investigation took place during the third day of the Conference. We would like to highlight the main developments presented at the Conference and introduce the prominent speakers. The keynote speaker of the Conference Professor Yulin Wang (Wuhan University, China) presented a report on Drone: From Bionic Flight to Brain Like Autonomous Navigation. He mainly works for image and video processing, digital rights management, information security, intelligent system, e-commerce, IoT, code clone and so on. Professor Cairong Zhao (Tongji University, China) demonstrated his speech on Occluded Person Re-Identification, in which he elaborated on the four key issues caused by occlusion, namely positional displacement, scale displacement, noise information, and missing information, and discuss their solutions, and analyzed and discussed the future development trends of occluded person re-identification. Finally, we would like to thank the members of the Technical Program Committee for giving an opportunity to share scientific ideas and new developments at the Conference as well as Hangzhou Dianzi University and Politechnika Koszalinska for their friendly support. Last but not the least, our special acknowledgement also goes to the editors and staff of Journal of Physics: Conference Series, for their kindness and assistance in publishing this volume. The Committee of MVAID 2023 List of Committee Member is available in this Pdf.
Scraping of Vulnerable Physical Environment Images in Shodan Images in Turkey for Dataset

In this study, a scraping software has been developed with python in order to use the physical space images in Shodan images section as a dataset for CNN based artificial intelligence applications. With this software, the images listed in the Shodan images section within the scope of the query "country:en port:554" are collected by web scraping technique. The scraping software scraped and stored the images obtained as a result of the query every 3 days for an average of two months. As a result, 2,220 images were obtained to be used as a dataset in CNN-based classification applications.
Specificities of technology-enhanced learning in technology and entrepreneurship

One of the guidelines for the development of modern education is to improve the quality of the educational process through modernization and digital transformation. The integration of digital information and communication technologies in the practice of education in the subject "technology and entrepreneurship" is the main means of its updating and optimization. Modernization is sought in the rational synthesis of classical and computer-based pedagogical technologies, application of new methods and forms of learning, new approaches to learning and teaching. Network connectivity and computermediated communications are changing the model of secondary level technology education. The peculiarities of the technology and entrepreneurship curriculum and the practical-applied nature of the learning process determine specific requirements when designing variants of pedagogical design, organization of the learning environment and applied management interactions. Computer-assisted learning is identified with a new integrative communicative learning system. The article presents a structural schematic model of the learning process in technology and entrepreneurship with information and communication technologies integrated to varying degrees. Based on the classic information management models, the proposed version recreates the complex multidirectional interactions between participants in the learning process, having disparate digital tools and Internet services. The model reflects variations of different forms of e-learning and hybrid learning, providing personalized and constructivist learning in technology-enabled, augmented or ubiquitous learning environments. Technologically enhanced education in technology and entrepreneurship has a complex nature and requires coordination of methodical, didactic and technical means and resources aimed at stimulating greater independent cognitive activity of learners. The use of ICT changes the functions performed by the teachers and places high demands on their digital pedagogical competences.
THE IMPACT OF HUMAN INTELLIGENCE ON THE ENGLISH-SPEAKING PROFICIENCY OF INDONESIAN ADULTS

This article reveals the impact of human intelligence on the English-speaking proficiency of Indonesian adults. The subjects of this study were Indonesian adults aged 18-40 years old as many as 41 subjects. The data of this study were Intelligence Quotient scores obtained through a logic test, Emotional Quotient and Spiritual Quotient scores obtained through a questionnaire, while English proficiency scores obtained through Focus Group Discussion. The results of this research led to the finding that Spiritual Quotient impacts English-speaking proficiency in comparison to Intelligence Quotient and Emotional Quotient.
AD – Elog Data Search Using Natural Language Processing Techniques

The goal of this project is to develop and evaluate a Machine Learning model using natural language processing techniques to categorize AD E-Log entries efficiently. AD E-Logs, which play a vital role in Fermilab's projects as a system to record and manage various data, often suffer from slow search processing and imprecise results. To address this issue, we preprocessed the data and employed the Doc2Vec model for training. The resulting model enables us to identify and retrieve the most relevant entries, thus enhancing user experience in accessing desired information.
Robust Estimation for Solar Radiation in Renewable Energy Systems

Renewable energy is gaining huge respect due to the increase in demand for energy globally, low cost production, and sustainability of the environment. The one to mention out of all renewable energiesis solar energy. Due to its availability in abundance. A wide range of people are driven to invest in thisindustry. Because of its high co-linearity, it's important that proper estimation of solar radiationis necessary for long-term performance, management of energy, and economic aspects. In this paperglobal horizontal irradiance is predicted from input parameters namely, air temperature, relative humidity,5 wind speed, wind spend of ghust, Wind direction in degrees north counted clockwise (standard deviation),Wind direction in degrees north counted clockwise, day length, and air pressure. Based on these factors thepaper investigates the performance of different machine-learning models for solar radiation estimation.R2(coefficient of determination) of the models is compared, and the best one, i.e., gradient boost regressormodel is selected which predictssolar radiation in Pakistan from metrological data. Considering wind speed of gust and wind direction in a single model with high accuracy, and aids knowledge to predictions usingmachine learning models. The paper is part of an ongoing effort in the research community to predict solarradiation with ease and accuracy. As real-time data is difficult and costly due to high calibration costs.
Pengembangan Media Interaktif Powerpoint untuk Meningkatkan Literasi Budaya dan Kewargaan Di Sekolah Dasar

This study aims to develop interactive PowerPoint media to increase cultural literacy and citizenship in schools. This research is an R&amp;D research referring to the Borg &amp; Gall model covering 7 of 10 stages, namely information gathering, planning, preliminary product development, initial field trials, initial product revisions, main field trials, and main product revisions. Data collection techniques using observation, interviews, questionnaires, product assessment, and tests. The study results showed that PowerPoint interactive learning media is valid to use and can increase cultural literacy and citizenship in thematic learning in elementary schools .
The Integrating Formative Assessment in Hybrid Pedagogy in Higher Education: From Theory to Practice

Educational policies on teaching, learning, and assessment have been reexamined and redefined under the influence of emerging theories and research findings, as well as various political, cultural, and social changes, particularly intensified after the Covid-19 pandemic outbreak. Newly created online and hybrid teaching and learning environments spurred policymakers and educators to adapt the existing educational practices to these educational contexts and improve the quality of teaching they provide. This paper focuses on the importance of creating a meaningful assessment framework in higher education thateffectively responds to the demands of hybrid pedagogy. It aims at providing an instructional assessment framework that supports not only assessment of learning but also assessment as/for learning, reporting on the case study researching the correlation between utilizing formative assessment practices and learning outcomes. The case study involves three groups of students who attended the English Syntax course - one experimental and two control groups. The research is based on the analysis of the results obtained from two midterm tests done by all students, and from ten continuous assessment tasks done by the experimental group. Descriptive and inferential statistics were used for the analysis of the results, and the paired sample t-test results show that there is a significantly higher difference between the scores obtained on midterm test 1 and midterm test 2 by the Experimental group than by the control groups, which leads to the conclusion that there is a positive correlation between learning outcomes and the integration of formative assessment in teaching and learning processes.
Bridging the Gap: Exploring Opportunities, Challenges, and Problems in Integrating Assistive Technologies, Robotics, and Automated Machines into the Health Domain

The field of healthcare is continually evolving and advancing due to new technologies and innovations [...].
Descriptive Text Writing Skills Through Picture Media in Elementary School Students

This study aimed to describe the skills of writing descriptive text through image media in the form of identification structures or general statements and section description structures in class VII students at SMP Negeri 2 Genteng. The research data is in the form of essays/the results of learning the skills of writing descriptive text through the media of images in class VII B students at SMP Negeri 2 Genteng. Data collection techniques used documentation techniques which were carried out through five stages, namely (1) research questions, (2) determining category definitions and levels of abstraction, (3) category formulation, (4) category revision, and (5) final work. The research instrument is the researcher himself as the main instrument and is assisted by supporting instruments in the form of assessment instrument tables. The data in the study were analyzed through four stages, namely: (1) reading and studying, (2) identifying, (3) presenting the results of the categorization, and (4) concluding the results of the analysis found. The technique for testing the validity of the data in this study uses the observation persistence technique. The results of the data analysis show that there are assessment indicators in the form of (1) identification structures or general statements which include object recognition. (2) the structure of the description of the part, which includes words that refer to the names of objects, material or action verbs, and adjectives. Based on the data results, this study concludes that students are categorized as good because students can write descriptive text through media images based on assessment indicators.
Design Recovery of Data Model Hidden in JSON File

JSON is a commonly used standard for data interchange and data storage. The hierarchical file structure makes it difficult to understand the real dependencies between the stored data. Data analyzability, reusability, and modifiability are crucial during the maintenance stage. Existing tools for data visualization reflect only the file structure and, therefore, can be classified as working at the redocumentation level. The paper proposes a method that is able to retrieve a design of the data model of JSON data. The design is presented in the form of a UML class diagram. The method has been implemented in a prototype tool. The tool performance has been compared with alternative solutions showing its advantage regarding selected metrics.
EVALUASI KEAMANAN INFORMASI PADA SMAN 1 XYZ MENGGUNAKAN INDEKS KAMI VERSI 4.2

&#x0D; The importance of the process of evaluating information system security for a company, organization, or government agency whose goal is to carry out early detection of information leaks and even disruption of information systems. In this research conducted at SMAN 1 XYZ. The research being conducted was to determine the level of readiness and governance of information security based on ISO/IEC 27001:2013 standardization by using tools, namely the KAMI Information Security Index Version 4.2. In this research the method used to carry out the data collection process is to make direct observations on the objects used as research and questions and answers with the IT department that handles related information systems. Based on the research conducted, it was found that the maturity level of information security is that at the level of need for electronic devices, a score of 20 points is in line with the high KAMI index and is still Level I to Level II. Even though the result of the readiness assessment has a value of 245, this is a safety level of 1 which applies to SMAN 1 XYZ. To achieve a qualification level in accordance with the ISO/IEC 27001: 2013 standard, SMAN 1 XYZ must improve information security internally and externally, in this case external parties, and carry out security assessments on an ongoing and continuous basis.
High-Extinction Reconfigurable Mach-Zehnder Interferometer Based on Silicon Photonic MEMS

Mach-Zehnder interferometer (MZI) is one of the essential components of photonic integrated circuits (PICs), such as quantum applications and optical neural networks [1], [2]. These applications demand a high dynamic range between on and off state. However, due to the fabrication imperfection, their modulation extinction is limited. There are some approaches to achieve a high modulation extinction of MZI and basic concept is to use additional MZIs to compensate the optical power distribution error (splitter and combiner) [3], [4]. However, their modulation mechanisms are based on thermo-optic effect which consumes high electrical power. Also, the thermal crosstalk between the devices is the bottleneck for large-scale PICs. The micro-electro mechanical system (MEMS) based PIC is one of the solutions, and recently large-scale MEMS PICs have been reported [5]
Motivation and Challenges for Applying Photonic Neuromorphic Computing Technologies

Artificial intelligence is playing an increasingly important role. The recent announcement of ChatGPT [1] and the following discussion on its economic impact is clearly demonstrating this. ChatGPT is based on the GPT-3 neural network; an architecture with over 100 billion parameters. The training and execution of networks with so many parameters are taking a large amount of energy [2], it is hence of utmost importance to explore new concepts and hardware that can make the important operations in neural networks more power efficient.
Deep-Learning- and GCN-Based Aspect-Level Sentiment Analysis Methods on Balanced and Unbalanced Datasets

With the growth of social networks, an increasing number of publicly available opinions are posted on them. Sentiment analysis, especially aspect-level sentiment analysis (ALSA), of these opinions has emerged and is a concern for many researchers. ALSA aims to gather, evaluate, and aggregate sentiments regarding the aspects of a topic of concern. Previous research has demonstrated that deep learning and graph convolutional network (GCN) methods can effectively improve the performance of ALSA methods. However, further investigation is required, especially when comparing the performance of deep learning-based and GCN-based ALSA methods on balanced and unbalanced datasets. In this study, we aimed to investigate two hypotheses: (i) the effectiveness of ALSA methods can be improved by deep learning and GCN techniques on balanced and unbalanced datasets, especially GCNs, over BERT representations, and (ii) the balanced data slightly affect the accuracy and $$F_1$$ score of the deep learning and GCN-based ALSA methods. To implement this study, we first constructed balanced Laptop, Restaurant, and MAMS datasets based on their original unbalanced datasets; then, we experimented with 17 prepared methods on six unbalanced and balanced datasets; finally, we evaluated, discussed, and concluded the two hypotheses.
THE EFFECT OF USING REVIEW STRATEGY TO IMPROVE STUDENTS’ WRITING SKILL AT SMAN 18 MAKASSAR

Yokmeam Tiranda. 2023. The Effect of Using Review Strategy To Improve Students’ Writing Skill At SMAN 18 Makassar. Skripsi English Language Education Study Program, Faculty of Teacher Training and Education, Bosowa University. Supervised by Restu Januarty Hamid and Ulfah Syam.This study aimed to know the effect of using review strategy to improve student writing skill at SMAN 18 Makassar.&#x0D; This study used pre-experimental research one group pre-test and post-test. The population in this study was students of class XI IPA SMAN 18 Makassar. The writer took one class from the target population for the research.The sample to be used is class XI IPA 3, the number of samples is 30 students. Data obtained from writing test. The result of this study used inferential analysis of the t-test by SPSS v.16, which showed a signficant effect on the students’ mean score writing skill between the pretest and post-test. The average score of the students’ writing enhanced from 55.10 in the pretest to 88.90 in the posttest. The significance value calculated 0.000 is smaller than 0.05 (P-value = 0.000 &lt; 0.05). Thus, it can be concluded that the review strategy is effect applied to improve students’ writing skill at SMAN 18 Makassar.&#x0D;
Dual-View Brain Tumor MRI Segmentation with Embedding Coordinate Attention Mechanism

In order to solve the problem of class imbalance affecting the segmentation accuracy due to the small proportion of brain tumor area in MRI, a dual-view MRI segmentation method embedded with coordinate attention mechanism is adopted. In the U-Net encoding path, the convolutional layer replaces the maximum pooling layer to reduce feature loss; Residual modules are added to the encoding and decoding paths to keep the transfer features intact; the decoding path is embedded with a coordinate attention mechanism, taking into account position information and channel relationships to alleviate class imbalance. The MRI is sliced along the axial and coronal views respectively, and the dual-view model is generated by fusion. Using spatial information. The research results show that the dice, sensitivity and precision evaluation indicators are significantly improved in the whole tumor area (WT), the core tumor area (TC) and the enhanced tumor area (ET). After fusion to generate dual views, the three areas Compared with the optimal method using the same data set, the dice index shows that WT is basically the same, and TC and ET are increased by 1.0% and 4.9% respectively. The research conclusion can effectively improve the MRI segmentation accuracy and has high reference and application value.
The reform and practice of university computer assessment based on computational thinking and ability development

The course "Fundamentals of Computers" is a compulsory general education course for non-computer science majors in undergraduate colleges and universities, and the course is very important for cultivating students' information literacy and computational thinking skills. This course analyzes the previous examination methods of BIPT and analyzes the current assessment methods in the light of the new curriculum reform objectives, and finally proposes further improvement ideas for the currently used assessment methods.
Entanglement of Distant Single-Atoms for Quantum Networks

Entanglement distribution is at the core of future quantum networks. Here we present an experiment employing single-atoms to demonstrate device-independent quantum key distribution and atom-atom entanglement generated over fiber links of 33 km.
Long-Distance High-Dimensional Quantum Key Distribution Field Test Using Energy-Time Entanglement

We present a high-dimensional quantum key distribution field test using energy-time entangled photon pairs over 242 km partially deployed fiber. We demonstrate system stability and robustness over 7 days with a fully passive experimental setup.