Reviewerly/exHarmony huggingface dataset:
Analyzing Human and ChatGPT Responses: A Comparative Study of Transformer Models in Natural Language Processing

With the latest developments in artificial intelligence, language models have reached the level that can produce human-like responses. One of the most successful examples of these technologies is the GPT-3 language model developed by OpenAI. This study aims to investigate how similar human responses and artificial intelligence responses are, and which transformer model performs best. In the study, a series of questions were answered using different transformer-based models and compared with the answers given by humans. The highest performance was obtained with the roberta-base-openai-detector model. This study provides researchers with a different perspective to understand the difference between artificial intelligence technologies and human responses.
Application of ChatGPT in the Tourism Domain: Potential Structures and Challenges

The tourism industry stands out as a sector where effective customer communication significantly influences sales and customer satisfaction. The recent shift from traditional natural language processing methodologies to state-of-the-art deep learning and transformer-based models has revolutionized the development of Conversational AI tools. These tools can provide comprehensive information about a company’s product portfolio, enhancing customer engagement and decision-making. One potential Conversational AI application can be developed with ChatGPT. In this study, we explore the potential of using ChatGPT, a cutting-edge Conversational AI, in the context of Setur’s products and services, focusing on two distinct scenarios: intention recognition and response generation. We incorporate Setur-specific data, including hotel information and annual catalogs. Our research aims to present potential structures and strategies for utilizing Language Model-based systems, particularly ChatGPT, in the tourism domain. We investigate the advantages and disadvantages of three different architectures and evaluate whether a restrictive or more independent model would be suitable for our application. Despite the impressive performance of Large Language Models (LLMs) in generating human-like dialogues, their end-to-end application faces limitations, such as system prompt constraints, fine-tuning challenges, and model unavailability. Moreover, semantic search fails to deliver satisfactory performance when searching filters that require clear answers. To address these issues, we propose a hybrid approach that employs external interventions, the assignment of different GPT agents according to intent analysis, and traditional methods at specific junctures, which will facilitate the integration of domain knowledge into these systems.
Image-to-Video Retrieval by ResNet50

The objective of this research is to create a computer system which can retrieve a video clip by using only a single image. The developed system is called “Image-to-Video Retrieval System (I2VRS)”. The system employs the convolutional neural networks called “ResNet50”, which is a toolbox in MATLAB software to retrieve the video clip dataset. The ResNet50 is one of the powerful CNN to recognize an image in the image processing technique. The I2VRS creates its own dataset called I2VRS dataset, which consists of 101 video clips and each video clip contains 1,000 video frames. All video clips are filmed around 60 s. each in the .MP4 file-format. The system also tests an un-training dataset with 100 images, which are directly taken with a mobile phone in the .JPEG file-format. The mean average precision (mAP) of the system is 0.9825, with the training dataset time being 5,668.7 s. The average access time to retrieve a video clip is 1.5726 s. per image.
I NFLUENCE OF INTECTUAL CAPITAL ON THE FORMATION OF THE SCHOOL-INTENSIVE ECONOMY OF THE PSKOV REGION

This article discusses the response to the challenges facing the country. The country’s resilience is linked to the sustainable development of its regions. The results of a review of the concepts of intellectual capital of the region, knowledge-intensive economy and high-tech production are presented. A model was selected and an assessment of the intellectual capital of the Pskov region for the period 2018–2021 was carried out. The analysis showed that the integral value of intellectual capital over this period tended to decrease. An analysis of the elements of intellectual capital was carried out and critical indicators were identified: educational and scientific potential. To create new products, it has been proposed to create two regional scientific and educational clusters in the Pskov region with the participation of scientific and pedagogical personnel and students. A mechanism for organizational and economic management of the cluster has been developed, which will help create conditions for increasing regional human capital.
Kalinux and Gophish analysis of phishing emails

Social engineering can be defined as a process of getting a person to provide a service or complete a task that probably will reveal private or confidential information. Among the diverse social engineering methods, phishing is the most frequently used approach to stealing credentials. Phishing refers to a technique in which an attacker pretends to be a trustworthy source and thereby tricks the victim into giving away sensitive information or other personal or organizational credentials. Email is one of the most used phishing mediums, and those emails that appear to be from an authoritative, legitimate source yet actually contain malicious links or malware are known as phishing emails. The paper presents Kali and Gophish as tools to collect email exchange information in advance and create phishing emails containing links that direct to phishing websites.
Leveraging Blockchain Technology for Trustworthy Information Dissemination in Nigerian Networks

In the current digital age, information dissemination plays a pivotal role in shaping societies and economies. However, ensuring trustworthy information in Nigerian networks remains a pressing concern. This study explored the potential of leveraging blockchain technology to address this critical issue. Blockchain, which is known for its transparency, security, and decentralization, offers a promising solution for enhancing trust in information dissemination. By immutably recording and verifying data, blockchains can mitigate the spread of misinformation, fraud, and cyberattacks within Nigerian networks. This study delves into the significance of this technology, shedding light on its applications and benefits in the context of Nigeria
Secured Federated Learning for DDoS Detection in Heterogenous Telecom Cloud Networks Using Recurrent Neural Networks

The recent evolution of cloud computing has enabled the cloudification of Telecommunication (Telecom) network functions. The cloud-based Telecom infrastructure is more scalable, flexible, and cost-efficient for service providers. However, a significant security challenge for Telecom cloud providers is ensuring the availability of services provided to users by mitigating Distributed Denial of Service (DDoS) attacks. The fact that Virtual Network Functions (VNF) in the Telecom cloud are hosted on the Internet makes them easy targets for large-scale DDoS attacks. This study proposes the use of secured supervised Federated Learning (FL) with an efficient Hybrid Recurrent Neural Network (H-RNN) for DDOS attack mitigation in the Telecom cloud. The proposed H-RNN model combines LSTM, a Bidirectional GRU (BiGRU), and a Bidirectional LSTM (BiLSTM) to obtain a state-of-the-art LSTM+BiGRU+BiLSTM model. FL is used with Secure Sockets Layer (SSL) encryption, which supports data privacy and integrity in heterogeneous Telecom cloud networks. The simulation results using the CICDDOS2019 benchmark dataset displayed a detection accuracy of 99.59%, a False Positive Rate (FPR) of 0.042%, and an average detection time of 0.062 ms. A novel H-RNN model and secured FL are proposed to enable deep-learning-based anti-DDoS technology building and deployment in cloud-based Telecom networks.
Mobile-Based Defense Equipment Recognition Application Using Augmented Reality (AR)

Indonesia as a sovereign state has made significant progress in increasing its capacity for defense. Since then, Indonesia has continued to work together to increase the capacity of defense equipment as the main support of the Indonesian National Army. In this strategic position, Indonesia has open sea and land borders with several neighboring countries. This makes Indonesia vulnerable to security threats resulting in national instability. This research aims to develop a Mobile-Based Defense Equipment Recognition Application using Augmented Reality (AR) which is able to recognition defense equipment models in the field of education, which is used as a means of learning media, so that people who don't know about defense equipment in AR form can find out. With the ability to scan objects in three dimensions, so that they can explore the introduction of defense equipment digitally through applications and can increase knowledge.
IT Governance Capability Assessment Using COBIT 2019 Framework in STIKI Malang Library Information Systems

STIKI Malang Library, as a library service manager, requires a capability level review, especially on IT risk aspects, a review of service policies, and the quality of human resources. This study aims to analyze the level of capability and provide recommendations using the COBIT 2019 framework. Data were collected through interviews with the Head of the Library and Staff of Information Systems and Information Technology at STIKI Malang and IT governance document analysis. APO12, BAI10, and DSS04 were chosen based on COBIT 2019 design factors. The results show that these three objectives are currently at level three, with a target of level four. STIKI Malang Library can achieve this target by improving IT risk management, regular reporting to the management, and identifying required resources for business continuity.
An Analysis on Flouting Maxim in Hotel Transylvania

Communication is one of important things in people’s daily lives. People tell, inform, and ask anything to their interlocutors by communicating. Conversation is one of activities that people do to communicate. Conversation can happen when there are at least two people to communicate in their familiar language. Movie can be the example media that not only shows usual conversational activity. In movies, participants occasionally disregard the Cooperative Principle. They may provide excessive or insufficient information, use ambiguous statements, make false claims, or bring up irrelevant points. This research focuses on the research aim to find out the types of flouting maxims used and the dominant flouting maxims used in the Hotel Transylvania. This research uses a descriptive qualitative method. In this study, the researcher applied Grice's theory to analyze data from the movie Hotel Transylvania. The data consisted of 40 instances where the maxim was flouted, as identified by the researcher using the theory. The result shows that there are 4 types of flouting maxims namely: flouting maxim of quantity (5 data), flouting maxim of quality (12 data), flouting maxim of relation (18 data), and flouting maxim of manner (5 data). Meanwhile the dominant flouting maxim used in the Hotel Transylvania movie is flouting maxim of relation (18 data).
Revolutionizing Data Capitalization: Harnessing Blockchain for IoT-Enabled Smart Contracts

The use of blockchain smart contracts in the monetization of IoT data assets addresses challenges in personal data ownership, quantifiable tracking of data assets, and efficient value transfer within IoT systems. By leveraging blockchain digital fingerprints, the ownership and control of data are transferred from device manufacturers to users, enabling individual data rights. Through techniques such as lifecycle management and digital signatures, device status and data hash values are stored on the blockchain, ensuring data reliability. Smart contracts are used to construct third-party data trading platforms, guaranteeing data sharing security and facilitating seamless data monetization and value transfer. Quantitative analysis of attack possibilities and success probabilities demonstrates that blockchain smart contract technology provides data tamper resistance and eliminates trust issues in data transactions. With the aid of blockchain smart contracts, the association of IoT data becomes feasible, facilitating the transfer and sharing of data values among IoT devices.
Student’s Reading Interest in Learning English Using Online Comics Application (Webtoon)

The research goals are to find out some problems of students’ leaning English and to describe students' reading interest in learning English using online comic applications (webtoon) at Junior High School. This research is a qualitative research.The subjects were seventh grade of Junior High School students. Data collection were interview, observation and documentation. Data analysis consists of data reduction, display and conclusion. Data validity used triangulation of method. The results showed that students have some problems in learning English for reading skill such as they had difficulty reading English and understanding the text given. They are lack in grammar, pronunciation and vocabulary mastery. Moreover, the students’ participation was very low. Webtoon cartoons increased pupils' interest and inspired them to read English. It was discovered that kids became increasingly motivated to study English. They like taking part in class activities. Furthermore, Webtoon Comics assists students in reading because it contains vivid visuals, wonderful storylines, and is digital. It is appropriate, fun and interesting. The pictures provided teaching as well as aroused of curiosity, which can assist pupils in reading more quickly.
EXPLORING THE PERFORMANCE OF STUDENTS IN THE PHILIPPINE NURSES LICENSURE EXAMINATION OF A SELECTED COLLEGE OF NURSING: IDENTIFYING AREAS OF STRENGTH AND WEAKNESS AND IMPLICATIONS FOR NURSING EDUCATION

The study analysed the strengths and weaknesses of examinees in the Philippine Nurses Licensure Examination (PNLE) and examine the factors influencing their performance and sought to evaluate the effectiveness of nursing education in the Philippines in preparing nursing graduates for the PNLE and provide recommendations for improvement. The study utilized a quantitative research design, analysing the PNLE results of 100 examinees who took the exam in November 2022. Descriptive statistics are employed to identify areas of strengths and weaknesses among passers and non-passers. Pearson correlation coefficients are used to examine the relationships between the different subjects in the PNLE. The results revealed that passers generally performed well in Community Health Nursing and Maternal and Child Health Nursing while struggling relatively more in Maladaptive Behaviour and related areas. Non-passers scored lower in all subjects compared to passers, with greater variation in scores among non-passers. Correlation analysis indicates moderate associations between some subject pairs among passers, suggesting consistent patterns of performance. However, weak correlations between certain subjects imply that performance in one subject does not guarantee similar performance in others. Based on these results, it is recommended that nursing educators focus on strengthening teaching strategies and resources for Maladaptive Behaviour and Alterations in Oxygenation This may include incorporating more hands-on and practical learning activities, providing additional resources for self-study, and encouraging student collaboration and peer teaching. These recommendations may improve nursing students’ academic performance and ultimately contribute to their success in the nursing profession.
Peningkatan Kemampuan Berhitung Permulaan Melalui Media Bahan Alam

Finding out whether natural material media can be effort to improve numeracy ability of children aged 5-6 years in PAUD Kumara Ngurah Rai II, is the purpose of this study, considering the problems experienced in PAUD Kumara Ngurah Rai II, namely the limited provision of concrete media in early numeracy which requires large enough budget. Class action research or commonly called PTK is type of this study, the object observed is the early numeracy abilities and 22 children aged 5-6 years in PAUD Kumara Ngurah Rai II Getasan Village, Petang District, Badung Regency consisting of 7 women and 15 men will be subject of this study. PTK was held early March 2022, then resumed in April to May 2022 the total is 3 months. Data collection methods used are teacher observation sheets, interviews and documentation. Divided into 2 cycles, research in cycle I children have increased compared to the results of pre-action, namely the percentage of developing according to expectations as many as 8 people (36.4%) to 9 people (40.90%) but the success criteria have not been achieved so that it continues to cycle II with an increase to develop very well as many as 19 people at a percentage of 86.36%. Results of the study showed that natural material media can be used to improve the early numeracy ability of children aged 5-6 years at PAUD Kumara Ngurah Rai II Getasan Village, Petang District, Badung Regency.
Pengembangan Media Pembelajaran Blended Learning Berbasis geo.ID Moodle Pada Materi Mitigasi Bencana Untuk Meningkatkan Hasil Belajar Kognitif Peserta Didik Kelas XI SMA Negeri 1 Sukoharjo Tahun Ajar 2021/2022

&lt;div class="WordSection1"&gt;&lt;p&gt;&lt;em&gt;The purposes of this research were: (1) To know the student's needs for the development of geo.ID Learning Media based on blended learning (moodle), (2) To know the feasibility of geo.ID Learning Media based on blended learning (moodle), and (3) To know the effectiveness of geo.ID Learning Media based on blended learning (moodle) on Disaster Mitigation Materials to increase the outcomes of the students in XI grade SMA Negeri 1 Sukoharjo 2021/2022.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;&lt;/em&gt;&lt;em&gt;The method used in this research was Research and Development (R&amp;amp;D). It was developing the learning media from Moodle Software into geo.ID. The research subject consists of material experts, media experts, and students. The method of collecting data were interviews, observations, documentation, and tests.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;&lt;/em&gt;&lt;em&gt;The result of Research and Development are (1) The development of geo.ID Learning Media based on blended learning (moodle) adjusted with the student's needs which dominated by text learning style, learning experience or skills in using filter media, students were enthusiasts and agree with the development of media, blue colour visualization and Time New Roman font, (2) The development of geo.ID Learning Media based on blended learning (moodle) found much worthy for geography learning in XI Class SMA Negeri 1 Sukoharjo. It can be explained based on the results of the material expert's assessment which obtained 96% in the decent category, media experts obtained 86% in the decent category, individual trials and small group trials obtained 86% in the decent category. The data were collected using a Likert Scale. (3) The determination for used geo.ID learning media based on blended learning (moodle) was proven in increasing the learning outcomes on pretest-posttest which score was 76.3 while for the control class was 59.9&lt;/em&gt;&lt;em&gt;.&lt;/em&gt;&lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;em&gt;Keywords : &lt;/em&gt;&lt;em&gt;Blended Learning Media, Moodle, geo.ID, Learning Outcome&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;&lt;/div&gt;
MEDIA GAMBAR BERBASIS POP UP BOOK DALAM MENGEMBANGKAN KEMAMPUAN MENGENAL HURUF PADA ANAK USIA DINI

One of the media that can be used in developing the ability to recognize letters is image media based on the pop-up book. This study aims to determine the role of the pop-up book-based image media in developing the ability to recognize letters in early childhood. The type of research used is library research. Sources of data used are secondary data sources, namely in the form of a collection of scientific papers (journals, theses, and articles) and books that are relevant to the research variables to be studied. Data analysis techniques use content analysis. The results showed that pop-up book-based image media played a role in developing the ability to recognize letters in children. From the results of data exposure analysis, it was found that the pop-up book-based image media can develop children's ability to recognize letters from one another and recognize the characteristics, sounds of letters, and the shapes of the letters. The development of the ability to recognize letters occurs because of the completeness of the pop-up book-based image media features in the form of images that look like the original because they are three-dimensional, dance forms of media and various colors, each word represents each letter and various themes. This research implies that pop-up book-based image media plays a role in improving the ability to recognize letters for early childhood. Increasing the ability to recognize letters through the pop-up book-based image media cannot be separated from the advantages possessed by pop-up book media.
Schenkerian Analysis - Analyse nach Heinrich Schenker

There are two main reasons why Heinrich Schenker became one of the most discussed music theorists of the 20th century: Firstly, his theory enables descriptions of the voice leading, harmony and syntax of tonal works that are as multi-layered as they are consistent. And secondly, Schenker's 'theory of layers' found ideal conditions in the USA, where most of Schenker's students had emigrated after 1933 - conditions that quickly allowed it to rise to become the leading theory of tonal music. In Austria, Germany and Switzerland, Schenker's reception initially took a different path: until the turn of the millennium, Schenker's theory remained the preserve of a few specialists. Since then, however, it has also met with growing interest in the German-speaking world. This German-English anthology contributes to Schenker research in both language areas and academic cultures. It examines questions of theoretical history, illuminates unexplored aspects of Schenker theory and opens up numerous of its implications for the theory of science, the history of reception and music aesthetics. In doing so, he often goes beyond Schenker - through new ideas of rhythm and metrics, references to Niklas Luhmann's systems theory or pluralistic theoretical concepts. The separate music volume contains analytical graphics as well as original musical texts. Online audio examples illustrate how different analytical interpretations can affect musical performances. Finally, a glossary and index facilitate in-depth readings along the lines of specific questions. A fundamental study book that shows music theorists and performers numerous possibilities for being inspired by Schenker's thinking.
THE URGENCY OF PROFESSIONALISM IN LIBRARY MANAGEMENT AT PRIMARY SCHOOL

This study's objective is to explore the role of school library management in enhancing students' academic performance and to identify the barriers to effective library management. It adopts a qualitative research approach, utilizing a case study design. Data was collected through interviews, observations, and document analysis. Data analysis involved three main stages: data reduction, presentation, and drawing conclusions. The findings reveal a lack of professional library management at elementary school Demakan 02 due to the absence of qualified librarians, which has led to the library operating in an ad-hoc manner.