Reviewerly/exHarmony huggingface dataset:
Cloud Penetration Testing

The utilization of cloud computing has been growing exponentially, becoming the preferred platform for businesses of all sizes, from start-ups to large corporations. However, this shift towards cloud computing brought about the responsibility to ensure the security of cloud applications and data from malicious attacks. The joint responsibility model of cloud security requires both service providers and businesses to maintain security. Identity and access management are shared responsibility models, requiring protocols and ethical hacking to ensure data protection. Advanced security measures like penetration testing are essential to establish a secure virtual environment. The primary aim of this research paper is to demonstrate how important penetration testing is for an organization even with security features that cloud providers implemented.
A Critical View to Educational Technologies in the Context of Social Inequalities

Equality of opportunity in education refers to the right of students to access compulsory education and to have equal opportunities in the process of education. In addition to offering many solutions to ensure equality of opportunity in education, there are also many obstacles. As a matter of fact, educational technologies are considered as an option in terms of having an effect on individuals having equal opportunities in the education process. Educational technologies can be seen as a solution to existing inequalities in order to provide equality of opportunity in education. From this point of view, in this study, it is aimed to determine the thoughts on the use of educational technologies in the education-teaching process in the context of social inequalities. In the study, the qualitative research design of phenomenology was used and ten teachers working in different branches in private and public schools were interviewed. Semi-structured interview technique was used as the data collection method and the interviews were conducted online with the teachers. Deductive analysis method was used to analyze the data. In the study, first of all, literature review was made in the context of social inequalities and themes were determined within the framework of the literature. The themes revealed were discussed as gender, socioeconomic level, parental education level, technology use proficiency of teachers and students with special needs. Within the scope of the themes obtained, teachers’ opinions and suggestions regarding the impact of educational technologies within the framework of the concept of equality of opportunity in education were included.
IMPROVED TRAFFIC CONTROL SYSTEM THROUGH DETECTION AND CLASSIFICATION OF VEHICLES USING CAMERA BASED CROWD SENSING WITH DEEP LEARNING APPROACH.

Abstract - Intelligent traffic light control system can be considered as one of the main aspects of a smart city. There is significant increase in the number of People that own vehicles and this leads to traffic congestion in urban cities of developing countries. Traffic congestion is one of the highly challenging problems people face in their daily lives which affect their working productivity, causes accident, unnecessary delays and possibly loss of lives. The control of traffics based on the densities and classes of the vehicles using deep learning approach proved to be a better approach in handling traffic jams according to the current state of the studies. However, the current state of the studies did not have special consideration for the class of special vehicles (VIPs) which need special consideration due to their importance and tight schedules. Also, it did not consider allocating time based on the classification. Thus, a model to improve the detection and classification of vehicles on side of intersection as well as special consideration for VIPs was proposed. The proposed model was built using Faster R-CNN based on Tensorflow machine learning framework on a Google Colab environment. The model was able to detect and classify vehicles as “special vehicles (i.e. VIP), Emergency (EV) and Others” classes of vehicles, a time allocation simulator was proposed based on the specified classes with special timing for VIPs. Results show that using the proposed method, 94.43% accuracy was achieved.
The Possibility of Developing the Performance of Green Products in the General Company for Electrical and ElectronicIndustries / Baghdad -Al-Waziriyah

The problem of the study was the absence of a knowledge product about the development of the performance of green products in Iraqi companies or others, especially in the field of electrical and electronic industries, and this indicates the existence of a knowledge gap. The current study aims to test the possibility of developing the performance of green products in the company under study, as an attempt to fill the knowledge gap in explaining the nature of the relationship through a survey of the opinions of a group of individuals working in the company under study. To achieve this goal, the current study concluded that developing the performance of green products helps organizations move towards environmental sustainabilityGreen products have become a powerful competitive weapon in the market because more customers are becoming concerned about the environment and more customers are willing to pay more for green products. We conclude from the results of the study that the company is under study to pay great attention to the development of environmentally friendly products, and this reinforces the problem of the current study. In order to develop the performance of the General Company for Electrical and Electronic Industries and improve its competitive position, we suggest that the company develop the performance of its green products on a large scale
Data breach and privacy in the digital era

The trend of data breaches globally is attracting concerns from business owners and the government of differentcountries. Notwithstanding the multiple pieces of legislation and strict requirements for reducing crime, there hasbeen an exponential increase in data breach incidents. These crimes result in the loss of billions of dollars annuallyfrom small entities and large enterprises. Data breaches did not only start during the digital era with technologicaladvancement; they started when individuals and organizations stored and maintained their data and records on-premises. However, as technology advances and computer systems become more accessible and affordable,coupled with poor management of sensitive documents, data breaches occur when individuals view other people’sfiles without authorization. The rate of data breaches rose from 1980 to the early 2000s, giving rise to awarenessof the canker. Laws and regulatory agencies such as Health Insurance Portability and Accountability Act (HIPAA)and Payment Card Industry (PCI) Data Security Standards were then established to guide sensitive data and thecustodians. Regulatory frameworks developed as best practices to secure sensitive information are, however,not being implemented exhaustively, thereby not able to gatekeep satisfactorily. Data breach frequency is highin the digital era. The digital era exposes organizations and individuals continually to potential security breaches.Technologies like artificial Intelligence, machine learning, and data modeling make it possible to design algorithmsand neural networks that help anticipate events and generate more data. Subsequently, fling open the gates topotential data breaches. In essence, it becomes absolutely necessary to consider the aftermath of informationsecurity and privacy in this digital era.
Dynamic Optimization of Energy Efficiency and Service Level Agreement violation in Cloud Data Centers via Virtual Machine Consolidation

With the escalating proliferation of cloud computing services, cloud data center providers are actively in pursuit of solutions not only to curtail energy consumption but also to efficiently cater to the unique demands of their users, thereby enhancing user satisfaction. The process of consolidating virtual machines emerges as a viable strategy for striking a balance between energy consumption and Service Level Agreement violation (SLAv), potentially surmounting this predicament faced by cloud service providers. This study aims to minimize energy consumption and SLAv to their utmost feasible extent by utilizing the First Median Threshold (FMT) technique for physical host selection and virtual machine allocation, in conjunction with the Maximum Ratio of CPU utilization to memory Utilization (MRCU) method for virtual machine selection within the framework of virtual machine consolidation. This dual-pronged approach not only translates into cost savings for cloud providers but also ensures the delivery of optimal services to users. Furthermore, a novel method has been introduced for selecting virtual machines for migration and appropriately choosing physical hosts to achieve equilibrium between two critical parameters: energy consumption and SLAv. The proposed methodology is implemented and evaluated using the CloudSim simulator, utilizing real-world PlanetLab data. The comprehensive analysis of the simulation results reveals that the proposed approach can significantly reduce energy consumption while effectively mitigating SLAv for users.
QUESTIONS OF PARTICIPATION OF ELEMENTS OF INTUITION, ARCHETYPE AND COLLECTIVE CONSCIOUSNESS IN FICTION

Subject of the article: scientific analysis of the content of the "magic realism" method in Russian literature. Purpose: to conduct a scientific analysis of the thoughts and actions of the heroes of realistic works of national literature: how the elements of intuition, the national archetype and collective consciousness are involved, and in what "methods" magical realism is created. Research method: comparative literature. In the article: The origins of the "magic realism" of the Kyrgyz national literature: attempts to prove it in the mythological and folklore works of the Kyrgyz, in their traditions and ideas formed from a divine point of view, in their moral and ethical principles, in the collective national consciousness (subconscious), archetype and in the personal intuition of the characters. As a result, there will be an attempt to scientifically prove that intuition, archetype and origin of collective consciousness: "quantum field", ancient. The practical significance of the article: the rationale for the transformation of Russian fiction from the aspect of magical realism and the laws of the "quantum field" into the actual aspect of the study. The relevance of continuing this topic in the future: there is no doubt that a scientific analysis of the origins of magical realism in our national literature from the above aspects will give very interesting results. consciousness with discrete ideas about the possibilities of quantum physics.
A Framework to Detect and Classify Time-based Concept Drift

Objectives: To design a framework that performs time series decomposition to detect and classify the types of concept drift in a data stream. The aim of this research is to increase the classification accuracy in the detection and classification of drifts. Methods: The proposed method is validated using the Beijing PM2.5 dataset available in the UCI Machine Learning Repository. This dataset has 13 attributes and experiments were performed with the existing drift detection framework algorithms such as EFCDD, Meta-ADD, CIDD, and comparisons were performed with the proposed TBD framework. The outcome of this research is aggregated with Classification accuracy. An effective algorithm selection framework is presented that detects and classifies time-based concept drift existing in the data. The temporal aspects of the data are decomposed to determine the algorithm to be applied to detect and classify the types of drifts. Depending on the decomposed levels, three varied algorithms have been applied and used for the effective detection and classification of time-based drifts. Findings: The performance of the proposed method is validated using the classification accuracy and compared with the existing drift detection framework algorithms. The proposed framework achieves maximum classification accuracy of 95.24% than all the other existing methods. Novelty: A novel framework has been proposed with better classification accuracy for the detection and classification of time-based concept drift. Keywords: Feature Selection, Concept Drift, Multiple Drift Detection, Time­series decomposition, Classification Accuracy
Padding Techniques for Identifying Decodable Syndrome in Post-Quantum Digital Signature Schemes

Objectives: The aim of this study is to design a MATLAB algorithm that will identify decodable syndromes easily. Methods: The most time-consuming step in developing code-based digital signature schemes is to identify a decodable syndrome. So, to find a decodable syndrome in a short period of time several padding techniques are presented in this paper. Our study uses a polar code with blocklength 16 with a rate of 0.5, and its Successive Cancellation (SC) decoding algorithm is used to decode the syndrome. The techniques suggested in this paper can be used to generate polar code-based digital signatures more quickly. Findings: Our study evaluates the effectiveness of padding techniques by simulating random syndromes 10,000 times over Binary Symmetric Channel (BSC) and Additive White Gaussian Noise (AWGN) channel by calculating the success rate, failure rate, and mean failure count for each channel. Novelty: In this paper, we present graphs showing the number of syndromes that failed to decode in the BSC and AWGN channels when simulating a predefined number of times. Additionally, we calculate the success rate, failure rate, and mean failure count of decoding for both channels, which demonstrate that the proposed padding techniques are highly effective in decoding syndromes in AWGN. Keywords: Quantum computing, Post-Quantum digital signature, Decodable syndromes, Padding, Polar codes, Successive cancellation decoding
A Hybridized Honey Encryption for Data Security using Residue Number System

Different encryption algorithms such as Advanced Encryption Standard (AES), Rivest, Shamir, Adleman (RSA) were proposed to protect the privacy of the data. However, most of these existing methods are vulnerable to a brute-force attack because the cipher text remains unintelligible until the original data is found. Consequently, this problem prompted researchers to introduce honey encryption (HE). HE helps to withstand the vulnerability of the encryption algorithms in brute force attacks making transmitted data more secure and efficient. Hence to reduce processing time we proposed a hybridized HE with Residue Number System. Traditional Moduli Set {2n-1, 2n, 2n+1} was used to generate the Key while Chinese Remainder Theorem (CRT), and HE technique were used for decrypting the data, based on the Distribution Transformation Decoder. Thus, anytime an attacker tries to access the data, so long the length of the guessed key is the same as the original key, the HE algorithm will generate meaningful but fake data, this helps to deter an attacker from further threat. The result showed that the proposed system was able to withstand brute force attacks with less processing time compared to other systems. N-values for the moduli set used were varied against encryption and decryption time. Comparing the obtained results with the existing system, the proposed system processing time was faster and more secure.
Independent Domination Degree of Standard Graphs of Adriatic \((a,b)\)-KA Indices

The dominating set \(D\) of the graph \(K=(V,E)\) is the independent dominating set (Ids), the independent domination number \(i(K)\) of the graph \(K\) is the minimum cardinality of id. In this article, we introduce the new independent degree domination (idd) of each vertices \(s\in V(K)\), denoted by \(d_{id}(s)\) and compute the Adriatic \((a,b)\)-KA index for book graphs, cycle middle graphs and windmill graphs.
Code Switching Found in the Conversation between Bunga Citra Lestari and Daniel Mananta on “It’s Me BCL” YouTube Channel

This study concerned the types and reasons of code-switching on three videos between Bunga Citra Lestari and Daniel Mananta’s conversation. The data source were taken from Bunga Citra Lestari’s YouTube channel entitled “IT’S ME BCL”. The data analysis was conducted a descriptive qualitative method. This study showed 3 types of code switching that found in the findings by applying Poplack’s theory (1980) as cited in Romaine (1989). Those types included intra-sentential switching, tag switching, and inter-sentential switching. The most type of code switching that dominantly occurred in this study namely intra-sentential switching. Those were appeared along the conversation between Bunga Citra Lestari and Daniel Mananta which aimed to convey the motivations through words, clauses, and phrases that were comfortable to be conducted in the second language. Moreover, this study also focused on the reasons of code switching by applying the theory proposed by Hoffman (1991). Those reasons could be divided into talking about certain things, quoting somebody else, showing empathy, using interjection, repeating something, clarifying the speech, and expressing group identity. The most reason of code-switching that dominantly occurred between Bunga Citra Lestari and Daniel Mananta’s conversation was talking about certain things. Those were occurred during the role of Daniel Mananta who was being an interviewer was asking several questions to Bunga Citra Lestari who was being an interviewee that automatically built up their conversation.
Factors Determinant Behavior Masters Student in Adopt OJS Website

Study this aim for confirmation factors determinant master student in adoption of the Online Journal System (OJS) website. To compose a skeleton conceptual about behavior adoption technology information , researcher use two theory base i.e. acceptance model technology (TAM) and theory acceptance and use technology integrated (UTAUT). Sample in study this is Master of Management students at University X amounted to 105 students. Structural model testing techniques using LISREL for verify structural model and validation hypothesis research. Research results identify that there is correlation between 8 factors determinant behavior student in OJS website adoption, factor the is (1) facilitating conditions; (2) perceived usefulnes; (3) perceived easy to use; (4) social approval; (5) result demonstrability; (6) innovation awareness and (8) voluntariness of use. Ability factor determinant the by simultaneously capable shape behavior adoption by 73%. Test results hypothesis reported that four factor like condition facilitating condition, perceived usefulness, perceived easy to use and social approval have significant influence to adoption of OJS websites, and social approval have most significant influence to adoption of OJS website. Implication practical on results study this is important for OJS manager for designing convenient OJS features and templates user to submit articles, as well as important for to do maintenance application.
The Perception of English Language Teachers of the Importance of E-Learning Platforms in Hebron Governorate and Yatta Governorate

This study aimed to identify the awareness of English Language Teachers in Hebron Governorate of the Importance of E-Learning Platforms and its Relationship to their Cognitive flexibility – the researcher adopted the descriptive correlation approach on a stratified random sample،which included (262) teachers from Yatta education directorate and from south Hebron directorate،during the first semester in (2021/2022), The researchers set up a questionnaire to measure the Awareness Of English Language Teachers in Hebron Governorate of the Importance of E-Learning Platforms consisting of (30) Paragraphs. the instruments va0lidity and reliability were both verified،the reliability coefficient of the first instrument is (0.95), The results show that the Awareness of English Language Teachers in Hebron Governorate of The Importance Of E-Learning Platforms were moderate with an average of (3.55)،The results also revealed that there are no statistically significant differences in the awareness of English Language Teachers in Hebron Governorate of The Importance of E-Learning Platforms attributed to the variables of gender،educational qualification،directorate and stage) while there were differences according to the variable (years of experience).
Reason of Code-Mixing in Livy Renata YouTube Videos

Mixing language often occurs in many situations in the real life because languages always develop. Moreover, mixing language also can affect people life style. Due to this, code-mixing phenomenon found in Livy Renata YouTube channel needs to be investigated. The videos are on the special three days vlog namely Vlog day 1 Going to Semarang with Jefri Nichol, Prince, &amp; Nopek, Vlog day 2 Grebek Kamar Nopek! Having dinner with Dikta &amp; Nichol, Vlog day 3 BTS acting class! Back to Jakarta. This study focuseson analyzing the reason of code-mixing used by Livy Renata in her YouTube channel based on the theory from Hoffman (1991). Descriptive-qualitative method is used to analyze the data in this study. The steps of collecting the data include observation and note-taking techniques. The result of this study found only 5 reasons of code-mixing with the dominant reason used by the speakers is talking about particular topic.
The Effectiveness of Public Spending in Addressing the Problem of Poverty in Iraq for the Period (2014-2020)

Poverty has been a simultaneous economic phenomenon since the existence of ancient civilizations and, to this day, according to the social divisions of each country. There are many reasons for the phenomenon of poverty that different countries suffer from, especially Iraq, including poor income distribution and a decline in the government’s role in public spending on various economic sectors, as well as the security situation deteriorating as well as overpopulation and environmental degradation. All of these reasons led to an increase in the poverty rate in Iraq, which resulted in political, social, and economic effects, such as high unemployment rates, the spread of illiteracy in most regions, and increased crime. Poverty alleviation, including developing new and real economic development strategies that seek to reduce the poverty rate in Iraq
The Effect of Money Supply on the Gross Domestic Product in Iraq for the Period2010-2020

The aim of the research is to study the relationship between money supply and GDP in Iraq. The research concluded that the relationship between money supply and GDP is complex and multi-faceted. An increase in the money supply may stimulate economic activity and boost GDP growth, but it can also lead to inflation and currency depreciation. Conversely, a decrease in money supply may reduce inflation but may also lead to a decrease in economic activity and GDP growth. Other factors, such as government policies, international trade, and market conditions, also play an important role in determining the relationship between money supply and GDP
Malinowski (1922) on Large Language Models

It’s easy to forget amidst a rising tide of synthetic text, but language is not actually about strings of words, and language scientists would do well not to chain themselves to models that presume so. For apt and timely commentary we turn to Bronislaw Malinowski who wrote: In follow-up work, Malinowski has critiqued the unexamined use of decontextualised strings of words as a proxy for Meaning: Malinowski did not write this on his substack,
Electronic Databases of Metadata in the Development of the Dialectological Atlas

The article discusses the need to create an electronic database of metadata collected during the linguistic survey of informants. The survey was conducted for about 10 years in the process of collecting dialect material for electronic corpora and the atlas of the Turkic languages of Southern Siberia.