Reviewerly/exHarmony huggingface dataset:
Development of Business Models based on Blockchain in energy sector

&lt;p&gt;This research examines the potential application of blockchain technology in the energy sector. It evaluates the current state of the energy industry and explores three potential future scenarios to illustrate the potential impact of blockchain. The study also highlights the shift towards the decentralization of energy production, as private households become ”prosumers” that both produce and consume energy. The research underscores the importance of companies in the energy sector to re-evaluate their enterprise management strategies to effectively incorporate blockchain technology and remain competitive in a rapidly changing landscape. &lt;/p&gt;
Analisis Manajemen Layanan Teknologi Informasi Perpustakaan SMK Negeri 5 Palembang Menggunakan Framework ITIL

The development of technology is currently very rapid along with the needs of the wider community, including in the world of education. Library Information System is one application of information technology that can be used. SMK Negeri 5 Palembang has used the library system but has never measured the maturity level of the services provided to users, so it is not yet known whether the library service system is in accordance with the goals to be achieved by the school. The author measures the level of maturity using the ITIL Version 3 framework with Domain Service Operations by distributing questionnaires to 100 respondents consisting of students and teachers. From the results of this analysis, it is found that the maturity level of the library system at SMK Negeri 5 Palembang is at level 3, namely defined. While the expected maturity level is level 4, namely managed, GAP analysis is worth 1.20. recommendations are given to the school to be able to achieve the level of expectation
Development of interactive e-books in tissue culture learning for class xi science

The learning media used in schools is in the form of books. In addition, the media used by schools contains material that is not yet specific and not yet interactive, so it is necessary to develop media that suits needs, such as interactive e-books. This study aims to produce an interactive e-book learning media on the tissue culture sub-material on the structure and function of tissues in plants that are valid. This development research uses the ADDIE development model whose implementation reaches the third stage, namely Analysis, Design, and Development. This interactive e-book was created using the Flip PDF Corporate Edition application. The sampling technique used in this research is random sampling. The sample used in the study was 45 students of class XI IPA SMA. The data collection instruments used were validation sheets and validated student response questionnaires. Data collection was carried out using student and teacher response questionnaires. Product validation uses validation sheets carried out by material, media, and learning experts. Data were analyzed using the analytical technique of the scale method with a modified Likert scale. The average product validation test results obtained a percentage of 91.62% with a very valid interpretation. The developed learning media also received good responses from students in three schools with an average percentage of 79.75% with good interpretation. So it can be concluded that the developed interactive e-book learning media is very valid for use in learning. Further research is needed to develop and test the effectiveness of media in the learning process
Criminal responsibility for electronic harassment crimes

New unfamiliar criminal patterns have recently appeared due to economic, societal and cultural transformations that have engulfed modern life. This style of crimes is manifested by cybercrimes which began to constitute a serious danger on individuals and their privacies. Modern technology has become a tool to violate law. It has been harnessed to make data loss, breach of ethics and decency or incitement to commit criminal acts. This invasive advancement of technology has significantly contributed to globalizing this novel criminal patterns, which give rise to complex problems in the absence of adequate criminal laws to counter such crimes and to accommodate this modern technology.
Crime Prevention through Environmental Design in Healthcare Facility: A Study of Sehat Al Sharq at Al Khobar, KSA

This paper shall cover the existing theories and practices in the field of Crime Prevention through Environmental Design with a special focus on Healthcare Projects. The intention is to address the gap between theory and practices. Safety &amp; Security is one of the basic human needs for peaceful existence. Patient safety and security have always been concerns in the successful operation of a healthcare setup. Nowadays, patient-centric healthcare service has given a competitive edge to the hospital; therefore, safety against crime has become very crucial for the hospitals. Other than the patients, safety and security for staff and visitors are equally important. Safety from data theft and breaches of privacy are other concerns in the healthcare setup. The design approach of best practices, like Crime Prevention through Environmental Design, seeks to create safer spaces through detailed design principles and strategies, and guidelines issued by the International Association for Healthcare Security and Safety. The majority of evidence suggests that designing the physical environment while considering safety features like Access Control, CCTV, Ultrasonic Occupancy Sensor, Public Addressable System &amp; Duress Alarm for healthcare setup, duress alarms have proved to be life-saving measures that are used to alert hospital staff and security personnel when an individual is in need of emergency. In this paper, qualitative research methodology is used as a case study and physical observations to collect qualitative data and analysis of Sehat Al Sharq Hospital, Al Khobar, KSA, shall be included to identify and propose solution factors affecting the design challenges related to CPTED. Furthermore, it aims to recommend a roadmap to address design constraints, optimize efficiency, and improve safety and patient care in the healthcare facility.
The Effectiveness of Texting on Enriching Saudi EFL College Students’ Vocabulary Repertoire

This research study aimed to investigate the effectiveness of texting on Saudi EFL college students' English vocabulary repertoire.The research was conducted on a vocabulary-building class of the intensive course program (ICP) at Qassim University.A total of 80 students participated in the study.The study employed an experimental approach with pretest/post-test design to measure the effects of texting on the students' English vocabulary knowledge.The class was randomly divided into two groups, the experimental group, and the control group.Both groups were invited to Telegram groups in which they had to respond to a pre-test at the beginning, then a post-test eight weeks later.The experimental group had a daily conversation with the instructor and with each other in their Telegram group.The conversation took place by texting only with sharing photos sparingly.On the other hand, the control group reminded silent in their Telegram group during the whole period.After eight weeks, both groups were asked to participate in a post-test.The findings of the study revealed that the experimental group showed a significant improvement in their English vocabulary knowledge compared to the control group and the difference was statistically significant (p < 0.05).The results of the study showed that texting can be an effective tool to enhance students' English vocabulary knowledge.The results also suggested that texting can be an efficient technique for language teachers to use in their classrooms to improve students' language skills.
STUDENT READINESS TO ENTER TOURISM AND HOSPITALITY INDUSTRY

The occurrence of pandemic had shaped the landscape of how individuals make their living, how businesses operate, and how products and services are availed. Various restrictions are made; thus, social institutions such as schools were forced to close their physical operations and adapt to a new teaching system, thus online classes became the norm. With this change came new challenges for both teachers and students. It is also deemed that the occurrence of the pandemic had made a learning gap between students and what is demanded by the current market despite the effort of schools. The study is anchored on the Theory of Readiness for learning and pedagogy since the level of readiness among students is the focus of the study. The design is descriptive, and a survey-questionnaire adapted from the work of Verdadero, D. et.al. (2020) is utilized. Mean, frequency, and percentage are used to treat the data gathered. It is found out that bachelor’s program in tourism and hospitality is dominated by women since women are more focused on personal development than men. The usual age bracket of fourth year students is 20-25 which is considered ‘young or early adulthood’. It is the usual point where an individual finishes bachelor’s degree. The level of preparedness to enter tourism and hospitality industry is high among fourth year students. Attitude seems to be the core component of readiness over skills and knowledge. However, a readiness-support intervention program must be drawn up to provide balance between the areas or readiness.
EFEKTIVITAS MODEL PEMBELAJARAN ENVIRONMENTAL LEARNING TERHADAP KEMAMPUAN MENULIS KREATIF PANTUN PESERTA DIDIK KELAS VII DENGAN BERBANTUAN APLIKASI CANVA SMPN 6 LEMBANG

The low context of students' writing abilities, especially in creative forms like composing traditional rhyming quatrains (pantun), is caused by the students' lack of self-confidence in expressing their creative ideas, as well as feelings of boredom and disinterest in the classroom due to the limited variation and innovation in the instructional models employed by educators. Therefore, in this study, one proposed approach to address this issue is the implementation of an environmental learning instructional model.The method utilized for this research is a quasi-experimental design. Data was gathered through trial tests and data analysis. Pre-test and post-test data were collected from both the experimental and control groups of seventh-grade students at SMPN 6 Lembang. The research findings reveal several significant observations: Firstly, a notable improvement in creative writing abilities concerning traditional rhyming quatrains was observed in the seventh-grade class, particularly within the experimental group. The average scores between the pre-test and post-test in the experimental group increased from 64.5 to 82.33, while in the control group, the scores increased from 59.833 to 74.66. Secondly, students in the experimental group exhibited enhanced mastery of creative writing skills in traditional rhyming quatrains, especially with the aid of the environmental learning instructional model. In this context, the model demonstrated its effectiveness in enhancing the creative writing abilities of the students. Lastly, a significant disparity in the utilization of the Canva application within the instructional models was observed between the experimental group and the control group. Statistical table outputs indicate an Asymp.sig value of 0.001, which is lower than the significance level of 0.05. This signifies a substantial difference in the effectiveness of the Canva application in enhancing creative writing abilities in traditional rhyming quatrains between the experimental group and the control group. Consequently, the results of this research substantiate the efficacy of the environmental learning instructional model in conjunction with the Canva application to foster the development of creative writing abilities in traditional rhyming quatrains among seventh-grade students&#x0D; Keywords: Writing, Environmental Learning Model, Pantun, Canva.
PENGEMBANGAN MEDIA GAME EDUKASI BERBASIS WEB WORDWALL PADA MATERI BALOK DAN KUBUS KELAS IV SD DALAM KURIKULUM MERDEKA

This study aims to develop an educational game learning media based on the Wordwall web to arouse students' enthusiasm in participating in the teaching and learning process or when evaluating learning in mathematics content. The research method used is (research and development) or the ADDIE development method which consists of 5 stages, namely: Analysis, Design, Development, Implementation, Evaluation. The types of data used are qualitative and quantitative. Data collection instruments in the form of validation sheets, practicality, and effectiveness. For data collection techniques used are interview techniques, observation, questionnaires and documentation. Analysis of the data used is the analysis of products developed using analysis of media validity, practicality and effectiveness of the media. Based on the development that has been carried out, the validation results of the Wordwall web-based educational game media are obtained. This validation shows that the results obtained with a percentage of 92% are in a very valid category. Practicality was assessed from the teacher's response questionnaire and the fourth grade student's response questionnaire to the Wordwall web-based educational game media as a learning media for mathematics on blocks and cubes, which obtained a percentage of 87% in the very practical category. Effectiveness is assessed from student learning outcomes. The learning outcomes of fourth grade students at SD Negeri 01 Durian Gadang who completed a percentage of 86% in the very effective category.
Localized Squeeze and Excitation Block

Abstract In this article a new technique called Localized Squeeze and Excitation (LSE) Block is proposed. Using proposed LSE-block one can extract core features from the images in the early stage, which results in smaller deep neural network with much less number of parameters; results in less computation time. By using our proposed technique one can reduce the size of any large deep neural network model. For experimentation the model named ResNet-50 is selected and it is shown that how ResNet-50 can be converted into a smaller neural network by using our proposed technique with better accuracy and less processing time. This work is evaluated on the Breast Cancer Histopathological Image Dataset, both for binary and multi-class problems.
Development of Liveworksheets-Based Electronic Student Worksheets (E-LKPD) to Improve Science Learning Outcomes

The lack of use of Student Worksheets (known with LKPD) at SDN Demaan has an impact on student learning outcomes. This research is Research and Development which refers to the Borg and Gall model. This study aims to develop and test the feasibility, practicality, and effectiveness of liveworksheet-based E-LKPD. The population in this study amounted to 30 with 8 small-scale test subjects in VB class students and 22 large-scale test subjects in VA class SD Negeri Demaan. Data collection techniques used test techniques (pretest-posttest) and non-tests in the form of observations, questionnaires, interview results, and document data. The validation results by the material, media, and language expert validators show that the liveworksheet-based E-LKPD has met the valid criteria. Based on the results of the pretest-posttest, it is known that the E-LKPD based on liveworksheets is effective for improving student learning outcomes as indicated by the results of an increase in the average pretest score by 57 to, and 84 during the posttest and the n gain test results obtained &lt;g&gt; gain value of 0 .62 in the medium category. Based on the results of the response questionnaire that was distributed, a very positive response was obtained from teachers and students. From these results, it can be concluded that the E-LKPD based on liveworksheets is effective for improving science learning outcomes and is feasible and practical to use in the learning of class V students at SD Negeri Demaan.
LIFE EXPERIENCE AND MOTIVATION OF PINTO ART MUSEUM WORKERS TOWARDS RECOVERY FROM THE PANDEMIC

The COVID-19 pandemic had a profound impact on various industries, including the tourism sector, which heavily relied on cultural attractions such as museums. In the Philippines, the closure of Luzon airports and the implementation of quarantine restrictions had a detrimental effect on the tourism sector, forcing museums like Pinto Art Museum to shut their doors to the public. This study focused on the life experiences and motivation of Pinto Art Museum workers in their journey towards recovery from the pandemic. As essential contributors to the museum's operations, understanding their perspectives, well-being, and motivations was crucial for ensuring their performance and overall museum success. This study sought to identify the significant changes experienced by the employees and their impact on personal and professional well-being, coping strategies, and social roles. Additionally, the study examined the employees' motivation and lessons learned during this challenging period and their implications for the tourism industry. Using a qualitative quantitative research design, specifically a descriptive case study approach, the study collected data through one-on-one in-depth interviews and storytelling. Purposive sampling was employed to select five employees who had worked at Pinto Art Museum throughout the pandemic. The collected data were analyzed using narrative analysis techniques to identify key themes and elements. The findings of this study provided insights into the multifaceted impact of the pandemic on Pinto Art Museum employees. Financial challenges, job security concerns, and disrupted work activities emerged as prominent themes. However, the employees exhibited resilience, adaptability, and dedication to their work and the museum's mission. The study underscored the importance of supporting employees during crises, maintaining job security, fostering a supportive work environment, and providing financial resources and assistance. These insights can inform strategies and policies aimed at enhancing employee well-being and the resilience of cultural organizations during challenging times.
FEDDBN-IDS: Federated Deep Belief Network-based Wireless Network Intrusion Detection System

Abstract Past two decades, Wi-Fi innovation has developed so generally that most contemporary gadgets are compact and use Wi-Fi to access the web. Because no physical boundary separates a wireless network from a wired network, Wi-Fi network security is seriously questioned, and current security measures are helpless to an extensive variety of attacks. The objective of this research was to evaluate a novel approach called federated learning as a potential solution to address privacy concerns and high costs associated with data collection in the field of recognizing network attacks. The study introduces FEDDBN-IDS, a ground-breaking intrusion detection system (IDS) that utilizes deep belief networks (DBNs) within a federated deep learning (FDL) framework to detect and identify cyber threats specifically in Wi-Fi networks. A DBN with stacked restricted Boltzmann machines (RBM) was trained on each device to learn the low-dimensional features from unlabelled private and local data. A central server later combines these models into a global model (FL) using federated learning. Subsequently, the central server adds fully connected SoftMax layers to the overall model to create a supervised neural network and train the model using freely available labeled AWID datasets. The results obtained from our experiments on the AWID intrusion detection dataset indicate that our federated strategy achieves a high level of classification accuracy, ranging from 88% to 98%.
A New Weighted Deep Learning Feature Using Particle Swarm and Ant Lion Optimization for Cervical Cancer Diagnosis on Pap Smear Images

One of the most widespread health issues affecting women is cervical cancer. Early detection of cervical cancer through improved screening strategies will reduce cervical cancer-related morbidity and mortality rates worldwide. Using a Pap smear image is a novel method for detecting cervical cancer. Previous studies have focused on whole Pap smear images or extracted nuclei to detect cervical cancer. In this paper, we compared three scenarios of the entire cell, cytoplasm region, or nucleus region only into seven classes of cervical cancer. After applying image augmentation to solve imbalanced data problems, automated features are extracted using three pre-trained convolutional neural networks: AlexNet, DarkNet 19, and NasNet. There are twenty-one features as a result of these scenario combinations. The most important features are split into ten features by the principal component analysis, which reduces the dimensionality. This study employs feature weighting to create an efficient computer-aided cervical cancer diagnosis system. The optimization procedure uses the new evolutionary algorithms known as Ant lion optimization (ALO) and particle swarm optimization (PSO). Finally, two types of machine learning algorithms, support vector machine classifier, and random forest classifier, have been used in this paper to perform classification jobs. With a 99.5% accuracy rate for seven classes using the PSO algorithm, the SVM classifier outperformed the RF, which had a 98.9% accuracy rate in the same region. Our outcome is superior to other studies that used seven classes because of this focus on the tissues rather than just the nucleus. This method will aid physicians in diagnosing precancerous and early-stage cervical cancer by depending on the tissues, rather than on the nucleus. The result can be enhanced using a significant amount of data.
KD45 with Propositional Quantifiers

Steinsvold (2020) has provided two semantics for the basic modal language enriched with propositional quantifiers (∀p). We define an extension EM of the system KD45_{\Box} and prove that EM is sound and complete for both semantics. It follows that the two semantics are equivalent.
Focuses and Trends of the Research on Task-based Language Teaching (1998-2022)

Task-based language teaching, as a communicative language teaching model, has gradually become a hot topic in the field of second language teaching and acquisition. In order to present the research focuses and trends of task-based language teaching, this paper, by resorting to the Web of Science and Excel, conducts a qualitative and quantitative statistical analysis of the relevant papers published in ten internationally renowned second language acquisition academic journals from 1998 to 2022. The results indicate that: (1) the number of papers presents a dynamic upward trend; (2) the research subjects are mainly college students who speak English as a second or foreign language; (3) the main research fields cover task performance, task characteristics, task implementation conditions, learner internal factors and integration of TBLT and computer network; (4) with research methodology being more diversified, empirical studies take a dominant position and the quantitative method plays a leading role. The results of this study have some implications for future task-based language teaching and research.
Using a Convolutional Neural Network for Machine Written Character Recognition

Convolutional neural networks are special types of artificial neural networks that can solve various tasks in computer vision, such as image classification, object detection, and general recognition. The paper presents the basic building blocks of convolutional neural networks and their architecture, and compares their recognition accuracy with other character recognition techniques using the example of character recognition from vehicle registration plates. The purpose of the experiments was to determine the optimal configuration of the convolutional neural network and the influence of the size and design method of the training set on the recognition rate. The study shows that although convolutional neural networks have recently gained attention, traditional recognition methods are still relevant, and the choice of the right classifier and its configuration depends on the type of recognition task.