Reviewerly/exHarmony huggingface dataset:
DETEKSI SERANGAN REMOTE CODE EXECUTION DAN CROSS SITE SCRIPTING MENGGUNAKAN MACHINE LEARNING

Based on the Annual Report of the Indonesian National Cyber and Crypto Agency for the year 2022, the total number of cyberattacks throughout 2022 nearly reached 976,429,996 attacks. Not only that, but the number of data breaches that occurred in 2022 was also very high, such as: a) 26 million Indihome customer data; b) 17 million PLN customer data; c) 1.3 billion SIM card data; d) 105 million KPU data; and e) 26 million Polri data. Given these issues and as a response to the high level of cyberattacks in Indonesia, research related to attack detection is of high urgency. This research aims to develop a machine learning-based cyberattack detection system. The rapid advancement of technology has made cyberattacks increasingly difficult to detect. The methods and vectors of cyberattacks used are becoming more complex and diverse. Therefore, this research employs machine learning methods for detection. The focus of this study is on two types of cyberattacks: Remote Code Execution and Cross Site Scripting. To obtain an accurate detection model, this research tested three algorithms: a) Support Vector Machine; b) Gradient Boosting; and c) Logistic Regression. Based on the research conducted, the Support Vector Machine algorithm achieved the highest accuracy rate, namely 0.9876 for Remote Code Execution and 0.9961 for Cross Site Scripting. Meanwhile, Logistic Regression achieved accuracy rates of 0.9537 (Remote Code Execution) and 0.9939 (Cross Site Scripting), and Gradient Boosting achieved accuracy rates of 0.9475 (Remote Code Execution) and 0.9939 (Cross Site Scripting).
The Role of Schools in Literacy in Elementary Schools

Literacy is closely related to an individual's ability to read, write, speak and understand information and solve daily life problems. The current literacy level of students is at a low level because there is still a lack of students being asked to read. Interest in reading is the desire and encouragement of students to like and enjoy reading activities. Based on the aim of this research, namely to determine the role of schools in literacy, this research uses descriptive qualitative research with data collection techniques through observation, interviews and documentation. The object of this research is SDN 194 Pekanbaru. In this research, three indicators were tested, namely the provision of infrastructure, the provision of school library programs and services. From these three indicators, the results showed that the role of school literacy has a fairly good average in improving students' literacy skills. From the results of observations made by researchers, it was found that the role of schools in literacy is to provide facilities and infrastructure for literacy at SDN 194 Pekanbaru, such as providing book reading corners in class, wall magazines, reading corners, posters with motivational words in class and also providing literacy programs such as: reading 30 before learning begins, a reading journal program which at the end of the semester, the best students will be given rewards and SDN 194 Pekanbaru also provides a library.
Integrating Technology in Primary Curriculum Development: Improving the Quality of Education

This article discusses the importance of technology integration in developing elementary school (SD) curricula to improve the quality of education. The strategy for improving the quality of education is to implement information technology in school learning. This implementation will support the learning process which produces students skilled in anticipating advances in science and technology. The method used in this study uses a library research method or approach, library research can be interpreted as a series of activities relating to methods of collecting library data, reading and recording and processing research materials
Method for haze removal based on local edge total variance

To obtain clear images from images with different haze levels, a new haze-removing method is proposed based on local edge total variance, which effectively reconstructs a reflected image from the hazy image. We first rewrite the classical monochrome atmospheric scattering model (CMASM) using a logarithmic operation to obtain the approximate Retinex model. Then we compute the approximate atmospheric transmittance map by decomposing the approximate Retinex model using the constrained local edge total variance theory. The decomposition problem can be viewed as an optimization problem with constrained quadratic programming, and the optimization of the channel containing fine details can be achieved by combining the Bregman theory and the fast Fourier transform method. Finally, the reflected image is estimated by the improved monochrome atmospheric scattering model. Compared to other available methods including methods based on CMASM and methods based on deep learning, experimental results demonstrate that our method is not only effective in removing haze, but also improve image qualities, such as contrast, sharpness and colour.
Decision-making in Cybersecurity: A Bibliometric analysis

This bibliometric analysis explores research trends and patterns in the intersection of decision-making and cybersecurity. Using Scopus data, we conducted a systematic search and identified 4,637 relevant documents published between 2018-2024. Quantitative analysis reveals rising annual publications with a peak in 2023, the predominance of journal articles, and robust international collaboration networks. China and the USA lead global scientific production. Key topics include risk assessment, network security, decision support systems, and emerging technologies like machine learning and artificial intelligence. Core journals with high citation impact such as IEEE Access and Expert Systems with Applications highlight significant sources of literature. The study provides a holistic overview of the landscape, evolution, contributors, and themes within decision-making and cybersecurity research.
The Verbal and Non-verbal Signs of “For Women by Women: IDÔLE Lancôme” Advertisement

The study is intended to identify the verbal and non-verbal signs used in the advertising “For Women by Women: IDÔLE Lancôme.” Humans employ both verbal and non-verbal communication techniques to engage, including messages, sounds, visuals, and gestures. This study is designed using a descriptive qualitative method. Data is gathered through observation methods. The analysis of verbal and non-verbal signs is done based on Saussure’s semiotic theory. As a result, there are three verbal and three non-verbal signs found. Besides that, the advertiser also wants to provide the audience with a relevant message or piece of advice, emphasizing that ladies should have the courage to follow their vast aspirations. The commercial has nonverbal that may be examined in the form of an image or graphic and appear in terms of color. Through this study, researchers recommend scholars research to explore the vocabulary and grammatical use in advertisements.
On The Design of Non-CSS Quantum Error Correction Codes with High Quantum Information

In this paper, we propose quantum [[10, 10, 2]] stabilizer codes constructed from the existing quantum [[5, 5, 1]] Hamming codes. The proposed quantum [[10, 10, 2]] codes satisfy the symplectic inner product (SIP) to ensure stabilizer generators commute each other for successful detections and corrections. A comprehensive end-to-end construction from parity-check matrix (PCM) of classical codes is provided to ensure quantum error correction codes (QECC) with higher information. We perform a series of computer simulations to evaluate proposed quantum [[10, 10, 2]] codes in terms of quantum word error rate (QWER) performances under the depolarizing channels. The results confirm that the proposed quantum [[10, 10, 2]] codes can successfully detect and correct all single quantum bit (qubit) errors, which is validated by the curve of QWER performances that coincide with the theoretical QWER performances. The results are expected to contribute to the development of QECC in quantum computing and communication systems.
Interpretable Modeling of Deep Reinforcement Learning Driven Scheduling

In the field of high-performance computing (HPC), there has been recent exploration into the use of deep reinforcement learning for cluster scheduling (DRL scheduling), which has demonstrated promising outcomes. However, a significant challenge arises from the lack of interpretability in deep neural networks (DNN), rendering them as black-box models to system managers. This lack of model interpretability hinders the practical deployment of DRL scheduling. In this work, we present a framework called IRL (Interpretable Reinforcement Learning) to address the issue of interpretability of DRL scheduling. The core idea is to interpret DNN (i.e., the DRL policy) as a decision tree by utilizing imitation learning. Unlike DNN, decision tree models are non-parametric and easily comprehensible to humans. To extract an effective and efficient decision tree, IRL incorporates the Dataset Aggregation (DAgger) algorithm and introduces the notion of critical state to prune the derived decision tree. Through trace-based experiments, we demonstrate that IRL is capable of converting a black-box DNN policy into an interpretable rule-based decision tree while maintaining comparable scheduling performance. Additionally, IRL can contribute to the setting of rewards in DRL scheduling.
A Study on the Economic Effects and Structural Change Analysis of the Business Services

Purpose - This paper aims to investigate the economic effects and structural changes of the business service sector in the Korean economy.&#x0D; Design/Methodology/Approach - We suggest the spillover effects of the business sectors of not only the Korean economy but also of OECD countries using an input-output model. We suggested production-induced spillovers, value-added spillovers, and labor-induced spillover effects in the business service sector to draw policy implications by comparing Korea and OECD countries.&#x0D; Findings - First, by the exogenous specification method for the business services sector, the effects of production inducement increased from 2015 to 2018, but the value-added inducing effects decreased since 2016. The labor-induced effects of the business service sector decreased. Second, the domestic price effects are larger than the import price effects when price rises by 10% in the business service sector. Third, as a result of the inter-industry linkage effects, the business services sector has a characteristic of comparatively larger forward linkage effects than backward linkage effects. Fourth, the growth of the business services sector was found to have driven the domestic final goods demand, final goods import substitution, exports, and technical changes. It was found that the domestic intermediate inputs of business services were replaced by imports.&#x0D; Research Implications - As the linkage between the service and manufacturing industries has been deepening, policy efforts are needed to expand R&amp;D and introduce new technologies to strengthen the business services sector competitiveness.
Assessing Information Security Culture from an Individual's Viewpoint: A Quantitative Measurement Approach

In the increasingly advanced digital era, information security has become a highly important aspect for organizations across various sectors. Therefore, organizations need to adopt a comprehensive approach to managing information security, which encompasses technological aspects, policies and procedures, as well as information security culture. Information security culture refers to the values, norms, and attitudes related to information security within an organization. This research aims to fill the knowledge gap by developing a quantitative measurement approach that can assess individuals' perspectives on information security culture in Sukowono District. This study is a quantitative research using the dimensions of awareness, knowledge, compliance, and behavior as questionnaire variables. The questionnaire was developed after determining the variables and tested for validity and reliability. The research was conducted in one of the districts in Jember Regency. The results of this study show that the average total score for Awareness is 11.9117647 with an average dimension score of 3.9705882, Knowledge has an average total score of 12 with an average dimension score of 4, Compliance has an average total score of 11.76470588 with an average dimension score of 3.92156863, and Behavior has an average total score of 11.882353 with an average dimension score of 3.960784. The dimensions are ranked from lowest to highest as follows: compliance, behavior, awareness, and knowledge. Therefore, knowledge of information security holds the highest position among the four dimensions, while the compliance dimension holds the lowest position.
PENANGGULANGAN BANJIR BANJIR SISI AIRSIDE BANDAR UDARA INTERNASIONAL JENDERAL AHMAD YANI SEMARANG

AbstractSemarang is one of the cities that often occurs flood disaster due to very high rainy weather. This resulted in the Ahmad Yani airport runway being inundated with water as high as approximately 50 cm around the airside which could disrupt flight operations. Therefore it is necessary to have a flood prevention activity to minimize the situation. The purpose of this study is to determine the factors resulting from flooding on the airside of Ahmad Yani airport and to determine the design of short-term and long-term drainage systems. In calculating the planned flood discharge (R24) using data such as rainfall, channel measurement data, and the condition of the channel. Based on this data, the researcher will calculate the planned rainfall for the Q2, Q5, Q10, Q25, Q50, and Q100 years. To calculate the data, we use the Normal Distribution, Log Normal Distribution, Pearson III Log Distribution, and Gumbel Distribution. Then from these calculations the Gumbel distribution method was chosen because it is closer. Based on data processing using the Rational method, the peak flood discharge value (QP) is obtained when Q2 all channels are able to accommodate the planned flood discharge, Q5 there is 1 channel unable to accommodate, namely in DU1-P2, Q10 there is 1 channel unable to accommodate, namely in DU1- P2, Q25 there are 1 channel that is not able to accommodate, namely in DU1-P2, Q50 there are 2 channels that are unable to accommodate, namely in DU1-P2 and S1B-P7, Q100 there are 2 channels that cannot accommodate, namely in DU1-P2 and S1B-P7. For the short-term drainage system design for flood management, it includes: repairing damaged channels, improving the foundation of the west side BRC fence, repairing pump station access roads, improving airside embankments, and pumping operations. In the design of the long-term flood control drainage system, the dimensions of the drainage channel on the airside side are added because there are 2 (two) channels that are not able to accommodate the planned discharge at the 50-year return period (Q50) with the addition of dimensions in the channel DU1-P2 b = 3, 5 h = 0.5 and S1B-P7 b = 2.7 h = 0.9.Keywords: Flood, Ej Gumbel, prevention.
TANTANGAN TERKINI DALAM KEAMANAN INFORMASI ANALISIS RESIKO DAN UPAYA PERLINDUNGAN

Threats and attacks that can result in leaks of personal or sensitive data or reduced business performance have a significant impact on the security of networks and information systems. Insider attacks, eavesdropping, misconfiguration, missing functionality, confusion, man-in- attacks, virus attacks, denial of service attacks are some of the dangers that threaten your network security or threaten the security of your network. Attacks are possible. Influencing information systems. Companies risk losing information appropriate security measures, such as network and information system security. You can implement the right security solutions to predict and prevent various security risks and attacks. Confidentiality, integrity, and availability are three characteristics of security, and to determine which security technology best suits your organization's needs, you must first compare the various threats and attacks with the security technologies in use. Recommended security technologies intrusion detection systems (IDS), antivirus programs, and encryption systems. This is because this technology relies on predicting and protecting networks and information systems in many security elements.
Un esempio di mappatura dell’italiano antico: la carta «‑GN‑» del progetto MIRA

Abstract This paper intends to present the first results of the project Mappatura dell’Italo-Romanzo Antico (MIRA) funded by the Swiss National Science Foundation (SNSF) for the period 2022–2026. The project’s main goal is the mapping of the linguistic situation of Italy before the year 1400. We illustrate one type of linguistic map, the one concerned with single linguistic features (such as the reflexes of Latin vowels, consonants, consonant clusters, etc.), using the outcomes of Latin ‑gn‑ . We show how the geographic distribution of the various reflexes can be displayed graphically and how the data from our principal source, the Atlante Grammaticale della Lingua Italiana delle Origini (AGLIO) can be integrated with the scrutiny of other texts and with secondary bibliography. Furthermore, we discuss critical points regarding the balance of our corpus – in a diachronic, diatopic and diastratic/diaphasic perspective – and the expediency of different solutions for the visualization of our findings.
I sondaggi, i metodi e le analisi del progetto <i>GeoDocuM.</i> Alla ricerca delle tendenze locali e sovralocali del latino documentale dell’Italia meridionale

Abstract The GeoDocuM project deals with the lexical variation that characterizes the ancient legal documentation written in Latin of continental southern Italy (with particular reference to the area between Campania and central-northern Puglia in a period ranging from the 8th to the 11th century), by testing a geospatial and statistical representation of the textual data. The paper focuses on the methodological issues addressed to enhance the local dimension, which is central in the setting up of the project.
A Joint Attention Module and Deformable Transformer Network for Hyperparathyroidism Detection

Hyperparathyroidism (HPT) is an endocrine disorder characterized by the excessive synthesis and secretion of parathyroid hormone. The excessive parathyroid hormone can cause bone calcium loss, vascular calcification, and cardiovascular diseases. Because of the multiple and reversible distribution of HPT, the accurate localization of the lesion during clinical diagnoses is challenging, often resulting in misdiagnoses or missed diagnoses. The computer-aided diagnosis (CAD) can improve the diagnostic accuracy. The joint utilization of the Squeeze-and-Excitation (SE) attention module and deformable transformer networks can achieve excellent detection performance for HPT. By improving the weight mapping approach within the SE module, we effectively enhanced the joint network’s detection performance for HPT.
New Normal Bagi Pelajar (Pembelajaran Daring dan Pembelajaran Luring) Pada Minat Beli Kuota Internet Pada Kios Pulsa Semarang Selatan

This research aims to find the relationship between online learning, offline learning, and buying interest. This research was conducted with a quantitative approach. The analytical method used is multiple linear regression analysis. The sampling technique used an accidental sampling approach and obtained a total sample of 100 respondents. The research results found information that there is an effect of online learning on the intention to buy internet quota. Furthermore, information was obtained that there was no effect of offline learning on purchase intention. Simultaneously, information was obtained that online learning and offline learning had an effect on the intention to buy internet quota. The following information found that the dominant online learning variable affected the Intention to Buy Internet Quotas. Keywords : New Normal, Online Learning Students, Offline Learning, Purchase Interest Abstrak Tujuan penelitian ini adalah untuk mengetahui mengetahui hubungan antara pembelajaran daring, pembelajaran luring dan minat beli. Penelitian ini dilakukan dengan pendekatan kuantitatif . Teknik pengambilan sampel menggunakan pendekatan accidental sampling dan diperoleh jumlah sampel sebanyak 100 responden. Metode analisis yang digunakan yaitu analisis regresi linier berganda. Hasil peneliitan menemukan informasi bahwa terdapat pengaruh p embelajaran d aring terhadap m inat b eli k uota i ntenet. Selanjutnya diperoleh informasi bahwa tidak terdapat pengaruh p embelajaran l uring terhadap m inat b eli. Secara simultan diperoleh informasi bahwa terdapata pengaruh pembelajaran daring dan pembelajaran luring terhadap m inat b eli k uota i ntenet. Informasi selanjutnya menemukan bahwa variabel p embelajaran d aring yang dominan ber pengaruh terhadap Minat Beli Kuota Intenet. Kata Kunci : New Normal, Pembelajaran Daring; Pembelajaran Luring; Minat Bel i
Measuring the Benefits of the Skill Academy’s Online Training Platform

The research purpose is to prove the truth of an internal survey of 96,406 users of the Academy Skills platform. The results of the survey stated that after participating in the training the user felt an increase in skills. Verification of the correctness of the survey uses a combination of the Delone and McClean (DM) models and the Technology-to-Performance Chain (TPC) model which has 5 constructs: System quality, information quality, service quality, task-Technology Fit, and Net Benefit. The method used in this study is a quantitative method through the development of identified constructs. Quantitative data was obtained from a questionnaire distributed to 96 respondents using the Skill Academy platform. The result of this study is that the constructs of system quality, information quality, and service quality have a positive effect on task-technology fit, and the task-technology fit construct has a positive effect on net benefits. In other words, the skills academy platform has quality systems, information, and services that allow tasks to be accommodated so that the impact is beneficial for users.
Interactive Segmentation for Pathological Images with Similarity-based Propagation

The auxiliary diagnosis based on pathological images often requires detecting exact nuclear information. In this paper, we propose an iteratively-refined interactive segmentation network named PSINet that allows users to guide the segmentation process of the model by drawing scribbles. PSINet can learn long-range dependencies among different cell nuclei, allowing it to correct other nuclei without direct feedback when the user only corrects the segmentation results on a few nuclei. Experimental results show that the proposed network outperforms state-of-the-art iteratively-refined interactive segmentation networks.