bluuebunny/crossref_metadata_2025 huggingface dataset:
Arbitration Bases for Settling Commercial Disputes in Accordance with The Provisions of The Code of Judgments (JUSTICE) Comparative Study International Trade Law (UNCITRAL) In Light of The Emirati Arbitration Law
Authors: Elhag Samya Elfatih Taha , Omer Ahmed El-Murdi Saeed , Dganni Khalid Mohamed , Hasim Nur Asmadayana , Adnan Nurul Ilyana Muhd , Kashim Mohd Izhar Ariff Mohd
Published: June 2024

The Code of Judicial Judgments is the law governing transactions and it refers to its most prominent explanations, and shows the geographical boundaries that represent the spatial jurisdiction of the Judicial Code. The objective is to make a comparison between the jurisprudential provisions of the Code of Judicial Judgments and the rules of the Commission on International Trade Law UNCITRAL on the one hand and the arbitration laws in some Arab countries. The subject of the study is UAE arbitration law on the other hand. The research methods are descriptive, inductive, jurisprudential, and comparative legal approaches. The main axes of this research paper are introducing the Code of Judicial Judgments and the UNCITRAL Commercial Law Commission, introducing arbitration, and explaining its legitimacy in jurisprudence and law and arbitration awards according to the Judicial Judgments and comparative law. The result shows that arbitration is defined according to the provisions of the law as follows: An agreement between the parties to refer to arbitration all or some specific disputes that arise between them regarding a specific legal relationship – that one of the most important effects of arbitration is that it is limited to the parties to the dispute and does not exceed them to others. And that if the parties to the dispute meet a certain time for arbitration, it may not exceed it. This research is important for future reference for policymakers, government, and neighborhood countries.
Effect of Economic Growth, Open Unemployment Rate And Human Development Index on Poverty on North Sumatera
Authors: Hwan Daniel  , Nico William Tonggo Purba  , Simamora Novia
Published: June 2024

This study aims to analyze the effect of economic growth, open unemployment rate and human development index on poverty in North Sumatra in 2015-2022. The data used in this study were sourced from the Central Statistics Agency for North Sumatra Province and were cross section or time series data. The model used in this study was a multiple linear regression model by testing autocorrelation, multicollinearity, normality, heteroscedasticity, F test, T test and test the coefficient of determination (R2). The estimation results show that the Economic Growth Rate Variable (LPE) has a positive and insignificant effect on Poverty, which means that if Economic Growth (LPE) increases it will increase Poverty in North Sumatra Province. The Human Development Index (IPM) variable has a negative and significant effect on poverty, which means that if the Human Development Index (IPM) increases, poverty will decrease in North Sumatra Province. The Variable Open Unemployment Rate (TPT) has a positive and insignificant effect on Poverty, which means that if the Open Unemployment Rate (TPT) increases it will increase Poverty in North Sumatra Province.
Analysis Of Unemployment, Inflation Rate, And Investment On The Number Of Poor Populations In North Sumatra Province, 1991 – 2020
Authors: PUTRY SIAGIAN
Published: June 2024

Poor people are residents who have an average monthly per capita expenditure below the poverty line. The problem of poverty is a complex and multidimensional problem covering various aspects in the clinic of human life, including the local government in North Sumatra. This study aims to analyze most of the effects of unemployment, inflation, and investment on the poor in North Sumatra in the 1991-2020 period, both simultaneously and partially. The data used by the equipment were obtained from the official website of the Central Statistics Agency (BPS) of North Sumatra. The results of this study are a) unemployment has a positive and significant effect on poverty in North Sumatra Province, b) inflation has a positive and significant effect on poverty in North Sumatra Province, c) Investment has a negative and significant effect on poverty in North Sumatra Province, and d) simultaneously unemployment, investment and inflation have a significant effect on poverty in North Sumatra Province. The R-Squared value of 0.763154 means that as much as 76.31 percent of the variable contribution to the number of poor people can be explained through stimulus, inflation and investment variables. While the remaining 23.69% is influenced by variables not examined.
Keywords: Unemployment, Inflation Rate, Investment, Poor Populations
Stomatitis migrans
Authors: Rotter Nicolas , Stanowska Olga , Suter Valerie G. A.
Published: June 2024

Die stomatitis migrans ist eine oft beobachtete benigne Normvariante der Mundschleimhaut mit einer Prävalenz von 1.0–2.5%, wobei sie bei jungen Erwachsenen deutlich höher ist. Frauen sind häufiger betroffen. Die Ätiologie ist unbekannt, kommt aber in gleichen Familien gehäuft vor. Klinisch zeigen sich demarkierte, erythematöse Areale, die teilweise von einem gelblichen Saum umrandet sind.
Neurologischer Notfall nach dentaler Implantation – was nun?
Authors: Fatori Sandra , Andreoni Claude , Lübbers Heinz Theo , Gröschel Sonja , Bornstein Michael M.
Published: June 2024

Mit der Verbreitung von Zahnimplantaten ist die Zahl neurologischer Komplikationen gestiegen, wobei diese vor allem im Unterkiefer vorkommen. Verletzungen des Nervus alveo- laris inferior sind eine ernste Komplikation mit Inzidenzen für transiente Nervschädenbis zu 24% und persistierenden Schädigungen bis zu 11%.
Verruciformes Xanthom an der linken Wange bei einer 56-jährigen Patientin – Diagnostik, Therapie und Nachsorge
Authors: Velte L. , Menter T. , Bornstein M. M.
Published: June 2024

The oral verruciform xanthoma (OVX) is a rare, benign lesion that occurs predominantly in the masticatory region of the oral cavity. The OVX is small, slow growing, and mostly free of clinical symptoms. The exact pathogenesis is unknown, and a viral etiology such as from a human papillomavirus (HPV) infection has not been proven. Although primarily observed in healthy individuals, there have been cases in patients with autoimmune diseases and with chronic graft-versus-host disease (GvHD). The treatment of choice is complete excision of the lesion. This case report showcases a successful surgical removal of an oral verruciform xanthoma on the left buccal mucosa in a 56-year-old patient with GvHD 14 years after allo-genic stem cell transplantation due to a Non-Hodgkin lymphoma.
Data-Driven Decision-Making: Accurate Customer Churn Prediction with Cat-Boost
Authors: Hasan Bismah , Zubair  , Shaikh Shahrukh Ali , Khaliq Abdul , Nadeem Ghalib
Published: June 2024

In the cutthroat telecommunications industry, customer churn poses a significant threat to profitability and brand reputation. To combat this, we propose a data-driven approach to predict churn, leveraging advanced Machine Learning (ML) algorithms on a comprehensive dataset of 7043 customer records with 21 features sourced from the IEEE website. By applying one-hot encoding to transform categorical data, we optimize ML algorithm performance. Our study pits three ML algorithms against each other: Cat Boost, Stochastic Gradient Boost, and Extreme Gradient Boost. The results are striking, with Cat Boost incipient as the top performer, boasting an impressive 94% accuracy, 90% precision, 97% recall, 94% F1-score, and an AUC of 0.94. These discoveries emphasize Cat Boost's extraordinary ability to predict churn, empowering telecom companies to proactively prevent attrition, target high-risk customers, and make data-driven decisions to make the most of profits. In today's speedily developing technical landscape, correctly predicting churn is critical to meeting the ever-changing potential of customers. Our research marks a noteworthy innovation in addressing churn trials, flooring the way for long-term accomplishment in the telecom industry.
Self-Reported Health and Happiness Among Sub-Regions of Asia: The World Value Survey 2017-2021
Authors: Javed Akhter , Mustafa Sadia , Sadiq Shumaila , Ullah Khan Shaqib , Noor Sana
Published: June 2024

This paper compared the differences in self-assessed health and happiness among five Sub-regions of Asia, namely, South Asia, Central Asia, West Asia, Eastern Asia, and South East Asia. The ng data was collected from the World Value Survey between 2017 and 2021 (Wave-Seven). A total of 3,278 participants from five sub-regions were surveyed. Self-Rated Health (SRH) and happiness were measured using a self-reported questionnaire. The results showed that the SRH and happiness levels were significantly high, with 81.09% expressing satisfaction. Gender-wise, females display reduced odds of happiness compared to males (OR=0.73, [SE/Z] =-0.07/-3.15), indicating a gender-based disparity. Higher education, financial satisfaction, and income levels are significantly associated with improved health perceptions. Higher satisfaction with the financial situation and income scales also demonstrates significant associations with happiness. As individuals age, there is a substantial increase in the odds of reporting good health, with the highest odds observed in the 65+ age group.
Monetary Reform – The Case for Button-Pushing
Authors: Bagus Philipp
Published: June 2024

In this paper I present a monetary reform plan that seeks to achieve a sound monetary system. I suggest the following three criteria of a good reform: it must be ethical, it must be based on sound economic theory and it must leave room for evolutionary processes. Based on these criteria and applying them to the monetary system, I argue for an immediate cancellation of all government intervention into the monetary realm.
The illogical fear of automation, falling wages, and falling prices
Authors: Chamberlin Antón , Block Walter E.
Published: June 2024

There is a hoary tradition in economics to the effect that automation will to unemployment. Ned Ludd might have started this, but in the modern era there are numerous supporters of this fallacy (Frank, 2012; Karphal, 2017; Ford, 2016). The present paper is an attempt to allay the fears of many that breakthroughs in technology will promote joblessness. Our method is to consider both historical and modern-day examples of innovation that have led to this fear. Ned Ludd dreaded the knitting loom. At present, self-driving automobiles, taxis, trucks, have driven to despair people who, realizing that jobs in these industries will be lost, over-generalize and think that all employment will cease. Our overall message is that we need not fear robots or automation or innovation. Rather, they will enhance our economic wealth.
Heterogeneous Capital and the Coasean Firm
Authors: Jankovic Ivan
Published: June 2024

In this paper some recent improvements and refinements of the mainstream Austrian theory of the firm are analyzed (Foss and Klein, 2012; Foss et al, 2007). Those refinements attempt to fuse the old Austrian-Coasean theory of the firm with a sophisticated analysis of entrepreneurship and capital theory, in order to broaden the scope and the application of the original intuition behind the Coasean theory that governance, planning and hierarchical mode of relationship are necessary features of an efficient market system. I criticize this strategy by combining the insights of the Austrian capital theory and the standard neoclassical theory of the firm, to show how the Coasean firm, both in its original and Austrian derivations misrepresents the real reasons and function of the firm in a market society. The main problem of this new synthesis is that it just broadens the old error committed by Mises and Rothbard, treating Coasean theory of the firm as central planning hierarchy to be consistent with Austrian argument against planning, and for economic calculation and entrepreneurship. In my analysis, the ingenious inclusion of the Austrian capital theory into the Coasean framework by Foss and Klein only adds another layer of errors to the original, untenable conception of the firm as a hierarchical and organizational entity by arguing that the firm is needed to handle the problem of heterogeneity of capital goods.
Review of Why Nations Fail: The Origins of Power, Prosperity, and Poverty by Daron Acemoglu & James Robinson
Authors: Roháč Dalibor
Published: June 2024

Why is Mexico poorer than the United States? For Daron Acemoglu and James Robinson, the answer is straightforward: institutions, or – more specifically – the institutional heritage of the past. To make this concrete, in Why Nations Fail (WNF) they blame the encomienda – a rather brutal form of serfdom used by the Spanish in the process of colonization. After the defeat of the Aztec empire in 1521, the Spanish imposed the system as a means of extracting tribute from the local population. Each encomendero would be allocated a number of Native Americans, who would then be used essentially as slave labor.
Classical Communitarianism and Liberal Anomie: Toward an Individual yet Robust Theory of Citizenship
Authors: Wenzel Nikolai G.
Published: June 2024

This paper uses the tools of robust political economy to assess a fundamental question of political theory: citizenship. Traditional conceptions of citizenship are found wanting if the criterion is the preservation of liberty and individual rights. Classical citizenship places duties above rights and civic participation over individual autonomy; in the process, it snuffs out the individual in the name of the collective. Liberal citizenship protects the individual sphere from political intrusion and thus offers great promise for civil and political rights. Alas, it contains the seeds of its own destruction, as individuals can lapse into anomie or rebellious chaos. After assessing the weaknesses of each vision of citizenship, this paper closes with a case study from Ayn Rand’s Atlas Shrugged: the simultaneously classical and ultra-liberal citizenship in Galt’s Gulch. While the paper does not offer a resolution – a resolution which many not completely exist – it seeks to move toward an individual yet robust theory of citizenship.
The Financial Pathology of the Postwar American Welfare State
Authors: Edwards James Rolph
Published: June 2024

Chronic inflation in the U.S. is a post World War II phenomenon. Particularly puzzling is the period of accelerating inflation after 1964 and the rapid deceleration after 1981. Arguably, inflation was employed to solve certain problems of finance faced by political authorities benefiting from the expanding welfare state. Those solutionsdepend ed on certain deceptions of the public, however. In particular, successful vote maximization through redistributive politics required (1) taxing and raising taxes surreptitiously through inflation to hide the costs of the subsidies, (2) covert inflationary repudiation of much of the accumulating federal debt that was also being employed to hide the costs of redistribution, and (3) the successful use of inflation to reduce the disemployment effects of pro-union laws and income transfers. Accomplishing these things required accelerating inflation. Inflation stopped accomplishing its intended functions over the 1970s, however, because the public’s expectations of inflation became more accurate despite its acceleration, and certain costs of inflation rose. Thus the marginal benefits of inflationary policy to the governmental partisans of the welfare state fell below the marginal political costs, making a lower inflation rate optimal. This endogenous theory of monetary policy and inflation behavior may be termed the “political neutralization hypothesis”.
Income Inequality and Poverty: Are We Asking the Right Questions?
Authors: Hobbs Bradley K.
Published: June 2024

It is frequently taken for granted that income inequality is a problem in the US. This paper examines the data and confirms that income inequality does indeed exist in the US – and has been rising in the past 40 years. There are, however, two problems. First, the rise in income inequality masks a significant improvement in the lot of the poorest Americans. Second, government efforts to reduce inequality – much like government efforts to reduce poverty – are likely to have unintended consequences that hurt the poorest. The paper concludes with international data and general analysis. Too much poverty persists and income inequality can have some negative consequences; however, government efforts should not target inequality, but should instead focus on reducing barriers to earning.
Subjective Political Economy
Authors: Allen Darcy W. E. , Berg Chris
Published: June 2024

We extend the Institutional Possibility Frontier (IPF) – a theoretical framework depicting the institutional trade-offs between the dual costs of dictatorship and disorder (Djankov et al. 2003) – by incorporating the notion of subjective costs. The costs of institutional choice are not objectively determined or chosen by a society; rather, they are subjective to the political actor that perceives them. Our methodologically individualist approach provides a new, highly adaptable extension of the IPF enabling examination of the political bargaining process between dispersed actors, the bounds and evolution of institutional innovation and discovery, and follower-leader dynamics in long-run institutional changes. Our new Subjective Institutional Possibility Frontier (SIPF) helps to integrate ideas into the economics of political systems, creating the foundations for a more subjective political economy.
Postmodernism and Its Discontents: Whither Constitutionalism After God and Reason?
Authors: Wenzel Nikolai
Published: June 2024

Modern institutions rely on philosophical appeals – specifically the ideas of the Enlightenment Project (Modernity). Truth exists, along with natural rights, and we are to use the human faculty of reason to discover them and conduct our affairs accordingly. Institutions follow. After three centuries of dominance, the modern project is now facing serious challenges from two sources. First, the post-modern alternative rejects the notion of a knowable truth in favor of radical relativism; reason has serious limitations, and there is no absolute appeal. Second, a pre-modern claim, in the form of a fundamentalist religious revival, has been calling for a return
Research on the Application Status and Countermeasures of Industry-finance Integration under the Digital Economy
Authors: Yang Yanfeng , Ge Xinqi
Published: June 2024

The emergence of a new generation of information technology represented by big data, artificial intelligence, and mobile internet marks the arrival of the era of big data-driven digital economy. In the era of digital economy, enterprises face greater financial risks and need to constantly break through and innovate existing management models. Through the construction and linkage of industry-finance integration, enterprises can fully grasp market demand and continue to adjust. The article starts from the significance of industry-finance integration in the digital economy, and combines with the problems of low information infrastructure level, low business and financial process, weak internal organization and human technology, and poor information communication in the process of industry-finance integration. It puts forward ideas and ideas for industry-finance integration, and hopes to provide reference and reflection for the industry-finance integration of companies in the digital era.
A New WEB Performance Testing Framework for Industrial Internet Platform
Authors: Zhao Siqi , Li Yali , Liu Rucai , Ye Ouhai
Published: June 2024

Industrial Internet platforms are a core component of the development of industrial Internet. Testing of industrial Internet platforms is different from ordinary software systems. Industrial Internet platforms are generally platform systems based on the B/S architecture. Due to the special hierarchical architecture of industrial Internet platforms, their technical characteristics need to be comprehensively considered during testing. Most testers only focus on the implementation of product functions, and performance testing is often superficial, limited to basic tool operations. From the perspective of application scenarios, users can generally operate Industrial Internet platforms through browser based web pages, which poses new and higher requirements for web performance testing tools. With the development of testing technology, WEB performance testing tools have emerged one after another and each has its own characteristics. Many testing tools promote their advantages, but they do not consider the user experience of the tool. By studying the typical WEB performance testing tool Gatling, analyzing user usage issues, and designing an improvement plan for Gatling based on the performance testing execution process, Gatling has been improved. Based on retaining the high-quality features of the tool and fully considering the difficulties of users, a framework packaging was carried out to improve the usability of Gatling. This has had a profound impact on the high-quality development of web performance testing tools. We hope that web testing developers and tool researchers can think and practice more in this field.
The Transformation of Intelligent Tourism Planning through the "Zibo Barbecue" Craze
Authors: Yu Guo , Qin Jing , Cheng Ziqian , Li Zihao , Quan Saiyu
Published: June 2024

This article discusses the application and development of intelligent tourism planning in the barbecue frenzy in Zibo. Intelligent tourism planning offers advantages such as personalized customization, real-time accuracy, recommendation suggestions, and provides tourists with a more convenient and efficient travel experience. In the context of the barbecue frenzy in Zibo, intelligent guided services, recommendation systems, and booking services have become essential components, offering tourists a more intelligent and personalized tourism experience. In this background, intelligent tourism planning continues to evolve, utilizing precise recommendations, interactive experiences, and intelligent marketing promotion to further enhance the travel experience and meet the needs of tourists. In conclusion, intelligent tourism planning demonstrates immense potential and development opportunities within the barbecue frenzy in Zibo, injecting new vitality and possibilities into the tourism industry. With the continuous progress and application of intelligent technologies, it is believed that intelligent tourism planning will become an important trend in the travel industry, providing tourists with a richer and more convenient travel experience.
Research on the Internationalization of Undergraduate Courses in Electronic Drive and Control
Authors: Ren Weijie , Zhang Lanyong , Ye Fang , Zhao Shiquan
Published: June 2024

With the acceleration of globalization, internationalization of education has become an important direction for higher education reform. In the field of engineering technology, electronic drive and control is one of the core courses, and its internationalization reform is of great significance for cultivating engineering and technical talents with international perspectives and innovative abilities. Electronic drive and control technology is an important component of modern engineering technology, widely used in fields such as automation, robotics, and new energy vehicles. With the development of technology and the integration of the global economy, higher requirements have been put forward for professionals in the field of electronic drive and control, especially in terms of international perspective, cross-cultural communication ability, and innovative thinking. Therefore, the internationalization reform of undergraduate courses in electronic drive and control is particularly urgent. This article aims to explore the current situation, challenges, and future development directions of the internationalization of undergraduate courses in electronic drive and control, providing reference and suggestions for curriculum reform.
Design and Implementation of Community Information Management System
Authors: Huang Zhaoming
Published: June 2024

In 2020, new coronaviruses are sweeping Wuhan and the world, and the community is the center of people's lives. Therefore, for the safety of people in each community, it is necessary to collect the information of all communities. This system exists to help the community understand the physical conditions of the people in the community and information about the movements during the epidemic. The functions of this system are as follows: the living staff, staff, and outsiders in the community are registered, managed, archived, and browsed, so that the community staff can clearly grasp the physical conditions and trends of the living staff. This graduation design system uses VS to design the interface and framework. The computer language used in the back end is C # language, and the database uses the MySQL database commonly used by most junior developers. The primary structure of the system was achieved, allowing community workers and ordinary people to meet the basic needs of the system used, so that the community during the outbreak could be orderly and stable. This design can ultimately help the community managers increase their ability to master the community, and facilitate the orderly and complete management of the community.
Research on Non-destructive Identification of Chick Embryo Gender Based on Deep Learning
Authors: Jiao Xinghui , Wang Ling , Liu Xiaojuan , Zhang Yizhong , Zheng Yihua , Chen Shuo , Shi Shuyang , Ding Pan
Published: June 2024

In the chick hatching industry, a common practice is to directly eliminate male chicks after hatching. However, this practice results in significant resource wastage. Timely detection of embryo gender and selection of male embryos are of great significance for reducing resource wastage and improving economic benefits. To address the serious lack of gender identification technology during chick hatching, this paper proposes a non-destructive identification method for chick embryos based on deep learning. We use the PyTorch framework to build a deep learning model and divide the dataset into 80% training set and 20% validation set for model training and validation. Experimental results show that our proposed model achieves an accuracy of 72.5% on the validation set. This study not only solves key technical problems for non-destructive identification of chick embryo gender but also provides new research ideas for precise gender identification of other oviparous species, promoting the intelligent development of production and breeding industries.
Machine Learning Processing based on Blockchain Data Characteristics
Authors: Liu Lu
Published: June 2024

With the rapid development of Internet, big data and AI, the management of huge volumes of data is no longer a problem. The problem nowadays is how to collect enough and secure data to support the processing and analysis. Meanwhile, the blockchain has become a trustworthy data storage platform because of its sharing and unchangeability. By utilizing the combination of blockchain and AI technology, users can process decentralized learning, and optimize their decisions. Blockchain data has many characteristics, such as integrity, validity, traceability, etc. Integrity can provide more comprehensive data for research, and traceability allows users to track data transactions, while ensuring that data is not tampered with. In this paper, the deep learning method is used to process and analyze the blockchain data, and the advantages of the combination of blockchain data and AI are illustrated through experiments.
Research on the Construction of English Translation Teaching Mode based on Deep Learning Model and Artificial Intelligence
Authors: Zhang Li
Published: June 2024

As globalization continuously deepens, the importance of English translation in various fields has become increasingly prominent. Therefore, how to improve the level of English translation teaching and cultivate more excellent translation talents has become an important task for English translation teaching in the new era. The rise of artificial intelligence technologyprovides new ideas and methods for college English translation teaching. The application of artificial intelligence has endowed college English translation teachingwith the ability to change traditional teaching methods and improve students’ learning efficiency. Based on this, this paper will discuss how artificial intelligence can empower college English translation teaching and how to improve students’ English translation ability through artificial intelligence technology support, expecting to provide some reference value for college English translation teaching and promote the development of English teaching.
A Comparative Study of Segmentation Algorithms for Intracerebral Hemorrhage Detection
Authors: Canayaz Murat , Milanlioglu Aysel , Şehribanoğlu Sanem , Yalın Abdulsabır , Yokuş Adem
Published: June 2024

Segmentation in the medical field has special importance. One of the purposes of segmentation is to visualize the area affected by the disease after disease detection in any organ. In recent years, efficient studies have been carried out for this purpose with deep learning models. In this study, three segmentation algorithms were compared for the detection of hemorrhage in brain parenchyma. These algorithms are the most familiar: U-net, LinkNet, and FPN algorithms. For the background of these algorithms, five backbones consisting of deep learning models were used. These backbones are Resnet34, ResNet50, ResNet169, EfficientNetB0, and EfficientNet B1. An original dataset was created for the study. The dataset in the study was verified by experts. In the study, the Dice coefficient and Jaccard index, which are the most common metrics in the medical field, were chosen as evaluation metrics. Considering the performance results of the algorithms, the FPN architecture with a 0.9495 Dice coefficient value for the training data and LinkNet with a 0.9244 Dice coefficient for the test data gave the best results. In addition, EfficientNetB1 provided the best results among the backbones used. When the results obtained were examined, better segmentation performance was obtained than in existing studies.
Optimization Of Cantilever Retaining Wall Design Using Improved Teaching-Learning-Based Optimization Algorithms
Authors: Tayfur Bilal , Kamiloğlu Hakan Alper
Published: June 2024

Retaining structures play a crucial role in geotechnical engineering to support soil levels, prevent slope failure, and create flat surfaces for construction. Designing these structures involves optimizing internal and external stability while minimizing material usage and cost. This study focused on optimizing reinforced concrete cantilever retaining walls using the Teaching-Learning Based Optimization (TLBO) algorithm and an improved version (I-TLBO) with agents. In the context of the study, geometric-structural design variables, geotechnical -structural constraints, and optimization processes were examined. Minimizing weight and minimizing cost of the wall were the objectives considered in the cantilever retaining wall design process. The optimization results were compared with other algorithms in the literature, such as genetic algorithms, evolutionary strategies, and particle swarm optimization. The improved TLBO algorithm demonstrated superior performance, achieved lower design dimensions, and reduced costs. It provided more efficient solutions that pushed design constraints closer to their limits, resulting in a cost-effective and structurally sound cantilever retaining wall design. As a result of the study, the I-TLBO algorithm was found to be more cost and weight-effective than other methods in the optimization of cantilever retaining wall design.
Detection of COVID-19 Anti-Vaccination from Twitter Data Using Deep Learning and Feature Selection Approaches
Authors: Ertem Serdar , Özbay Erdal
Published: June 2024

The COVID-19 pandemic has evolved into a crisis significantly impacting health, the economy, and social life worldwide. During this crisis, anti-vaccination sentiment poses a considerable obstacle to controlling the epidemic and the effectiveness of vaccination campaigns. This study aimed to detect COVID-19 anti-vaccination sentiment from Twitter data using a combination of deep learning and feature selection approaches. The proposed method integrates a deep learning model with feature selection techniques to identify anti-vaccination sentiment by pinpointing important features in text data. Hybrid TF-IDF and N-gram methods were utilized for feature extraction, followed by Chi-square feature selection. The dataset comprises Twitter text data and two labels. The Synthetic Minority Oversampling Technique (SMOTE) was applied to balance the labels. Long Short-Term Memory (LSTM), a deep learning architecture, was employed for the classification process. The experimental results, obtained by leveraging the proposed feature extraction, feature selection, and LSTM methods, achieved the highest accuracy value of 99.23%. These findings demonstrate the proposed methods' success in effectively detecting COVID-19 anti-vaccination sentiment in text data. The study's results can offer valuable insights for developing health policies and public information strategies, presenting a new and powerful tool for detecting anti-vaccine sentiment in planning vaccination campaigns and public health interventions.
Investigation of Microsoft Teams and Skype as Distance Education Tools ın Terms of Digital Forensics
Authors: Keleş Tuğçe , Çolak Yunus Emre , Ilhan Nucan , Yıldırım Kübra , Yıldız Arif Metehan , Tuncer Türker , Dogan Sengul
Published: June 2024

necessity has disrupted traditional norms and has affected all aspects of life. Undoubtedly, the education sector is one of the most significant areas affected by technology. As the population rate increases, the importance and necessity of education also increase. In response to this need for education, new educational models emerge based on the contemporary conditions. One of the critical factors that lead to the emergence of these new models is the COVID-19 outbreak that affected the entire world in March 2020. As a result of this epidemic, countries have adopted various methods in the field of education and training. Some countries suspended their educational activities, while others have continued the process through distance education. Distance education is a teaching method that relies heavily on the active use of information and information tools. The extensive use of distance education tools can attract the attention of malicious individuals who may seek to access these services directly or indirectly. This study aims to present the data and information obtained from analyzing the traffic information stored by Microsoft Teams and Skype or incoming and outgoing traffic information over the network in an isolated environment. The study was conducted on computers with the Windows 10 operating system and web client applications installed. One of the primary goals of this study is to assist researchers who will study distance education tools in the future.
Numerical Investigation of the Effect of Deltoid Radius on Tensile Load in T-joints
Authors: Albayrak Mustafa
Published: June 2024

In this study, T-shaped joints were designed from composites with different deltoid radius. For this purpose, carbon fiber woven fabrics were preferred as reinforcement elements. Then, tensile analyzes were performed on these composite T-joints. The effect of the deltoid radius on the maximum tensile load and damage behavior of the structure was examined. As a result of the analyses, fiber tensile-compression damage images occurring in the structure for each deltoid radius were obtained along with the load-displacement graph. The Hashin damage criterion was preferred for damage onset. Material Property Degradation (MPDG) method was used for damage progression in progressive damage analysis. By increasing the deltoid radius from 6 mm to 12 mm, the maximum contact load increased by approximately 10%, and by increasing it to 18 mm, the maximum contact load increased by approximately 20.11%. Fiber compression damage, spread over a wide area on the lower surface of the flange where it does not come into contact with the web, was determined to be the dominant damage type, and it was determined that this damage decreased with the increase of the deltoid radius. it was observed that as the deltoid radius increases, the T-jointed composite structure exhibits more rigid material behavior.
Sex-roles and dyadic uniqueness in parent-child personality trait relationships
Authors: Cattell Heather Birkett
Published: June 2024

Parent-child personality trait intercorrelations were examined in 127 intact, middle-class, Caucasian families (393 children: 162 females and 231 males between ages 6 and 22), using the age-appropriate test in the Sixteen Personality Factor Questionnaire series. The main parent/child linkages differed for each parent-child dyad: daughters' unconflicted, introverted dependency was linked with mothers' unconflicted, emotionally sensitive dependency; daughters' sensitive, unconflicted dependency was linked with fathers' inhibited dependency; sons' dependent, introverted neuroticism was linked with insecure, sensitive, emotional neuroticism in mothers; sons' inhibited, resentful, insecure neuroticism was linked with dependent, introverted neuroticism in fathers. These patterns indicate that family relationships revolved around neuroticism versus mental health for boys and sex-role traits of dependence, emotionality, and introversion for girls. For adolescent sons (over 13 years), sex-role traits of aggressiveness, tough-mindedness, and emotional insensitivity replaced low neuroticism in important linkages with both parents. Eldest daughters showed unusually strong and unique linkages with fathers, emphasizing father-daughter similarity on central character traits such as ego and superego strength, tension level, and strength of self-image.
Константин Преславски и неговото творчество в контекста на старобългарската
писменост: изкуството на акростиха
Authors:   University of
            Saarland, Marti Roland
Published: June 2024

In OCS studies Constantine of Preslav was for a long time known as a
translator/compilator of prose texts above all and as the author of the Alphabet Prayer,
but today his hymnology attracts more attention. This is due to several acrostics
containing his name, rediscovered and published by scholars only recently. A
full-fledged appreciation of his work demands bringing together the analyses of his
prose and his hymnology. In addition it is necessary to add his acrostics as texts in
their own right. This is attempted in the article on the basis of G. Popov’s research,
special attention being paid to the two acrostics that actually form poetic texts,
written in the tradition of Byzantine dodecasyllable poetry.
Уводите и заключенията в Учителното евангелие: източници и вдъхновения
Authors:   Institute of Balkan Studies and
            Centre of Thracology – Bulgarian Academy of Sciences, Kotova Dobriela
Published: June 2024

Constantine of Preslav’s Didactic Gospel is a collection of 51 preachings on the
Sunday Gospel readings for the whole church year. All these orations follow the same
structure: introduction, exposition, and conclusion. The earliest studies on the
monument point out that the expositions were translated. The introductions and
conclusions, however, have ever since been considered authored by Constantine of
Preslav. Yet, on the basis of the recently gained knowledge about the Greek sources of
these collection, it is now possible to refine the idea of how the introductory and
concluding parts of these preachings were composed. The article examines a group of
orations whose conclusions absorb passages of John Chrysostom’s homilies. It also
reveals the manner in which Constantine created his own edifying text by excerpting,
translating and compiling pieces of them or using them as a starting point for
constructing his own propositions. Two other orations are also discussed in this aspect,
where inspiration seems to have been drawn from Epiphanius of Cyprus and Gregory the
Theologian. In the course of the analysis, attention is drawn to both the rhetorical and
artistic skills of Constantine of Preslav, his deep theological understanding, and
entire devotion to the enlightenment mission he undertook
Гръцко-славянските лексикални съответствия като критерий за атрибуция на
старобългарски преводи / Greek-Slavonic Lexical Equivalents as a Criterion for
Authorship Attribution of Old Church Slavonic Translations
Authors:   Institute for Balkan Studies анд
            Centre of Thracology - Bulgarian Academy of Sciences, Taseva Lora , Bruni Alessandro Maria ,   Ca' Foscari University of
            Venice
Published: June 2024

This paper deals with the problem of lexical variation in Old Church Slavonic
translations from Greek. The authors investigate lexical correspondences for the same
Greek word in a number of texts, whose origin is linked to the Preslav literary School
(late 9th-early 10th century). They are on the one hand, the Didactic Gospel and the
First Oration against the Arians by Athanasius of Alexandria (CPG 2039) translated by
Constantine of Preslav, while, on the other hand, four anonymous translations of
homiletical works. These include the Third Sermon on the Dormition of the Blessed Virgin
Mary by John of Damascus (CPG 8063), the “A” and the “B” translations of the Homily on
the Transfiguration of the Lord by Proclus of Constantinople (CPG 5807), and the Funeral
Oration on the Great S. Basil, Bishop of Cæsarea in Cappadocia (Oratio 43 / CPG 3010.43)
by Gregory of Nazianzus. The adopted methodology is based on a statistical approach to
lexical variation. The statistical analysis has led the authors to the following
conclusion. The largest percentage of Greek-Slavonic lexical matches occurs in
Constantine's texts. This demonstrates that the adoption of a quantitative criterion,
based on a statistical analysis of lexical data, may turn useful to verify the validity
of the attribution of an anonymous text to a specific translator.
Evangelní citáty v autorských částech Poučného evangelia Konstantina Preslavského a
jejich srovnání s citáty v Besědách Řehoře Velikého na evangelia / Gospel Quotations in
the Author’s Parts of Constantine of Preslav’s Didactic Gospel and their Comparison with
quotations in Gregory the Great’s Homilies on the Gospels
Authors:   University of
            Ljubljana, Stankovska Petra
Published: June 2024

In the contribution, the main focus is on the comparison of the Gospel quotations
in the Old Church Slavonic translation of Gregory the Great's Homilies on the Gospels
(i. e. Besědy) and in the author's parts of Constantine of Preslav’s Didactic Gospel. A
total of 15 common citations were found, of which 10 could be further analyzed. Based on
the comparison, we came to the conclusion that most of these quotations are in the
Didactic Gospel in the wording of the Old Church Slavonic Gospel translation, but in
half of the cases it is a match with the manuscripts of the Preslav redaction or further
development of the oldest redaction of the Old Church Slavonic Gospel translation. In
eight quotations from the Besědy, the translator's familiarity with the Old Church
Slavonic translation of the Gospel can be observed, while half of them are verses well
known even to ordinary Christians. In some cases, we observe interesting identical
variants in the Didactic Gospel and in the Besědy, which are either found in the Gospel
manuscripts of younger redactions, or are not documented in them at all.
Двата превода на Словото за Въведение Богородично от Герман Константинополски (BHG
1103) / Two Translations of the Homily for the Presentation of the Holy Virgin Mary by
German of Constantinople (BHG 1103)
Authors:   Sofia University “St. Kliment
            Ohridski”, Hristova-Shomova Iskra
Published: June 2024

The Homily for the Presentation of the Blessed Virgin Mary in the Temple by German
of Constantinople (BHG 1103) with the incipit Θυμηδίας μὲν πᾶσα θειοτάτη πανήγυρις has
an early Old Bulgarian translation, saved in Panegyrikoi of old recension. The
translation is not complete, some parts of the Greek text were omitted. This translation
has an East Slavic redaction, which contains changes of the text, sometimes significant,
but the omitted parts of the text have not been added. The same homily has a Middle
Bulgarian translation of the full text. The paper contains a comparison between the Old
Bulgarian translation (on the base of manuscript Zographensis no. 94), its East Slavic
redaction (on the base of manuscript kept in the Trinity Lavra of St. Sergius, no. 669)
and the Middle Bulgarian translation (on the base of the Panegyricon of Mardarius of
Rila, kept in the Rila Monastery, no. 4/5). Both translations are skillful, made by
experienced translators who were fluent in Greek and had rich vocabularies, although
they have made some mistakes.
Tolerating Imperfection: Uncorrected Transkribus Transcriptions in Church Slavonic
Studies / Толериране на несъвършенствата: Некоригирани транскрипции на Transkribus в
църковнославянските изследвания
Authors:   Albert-Ludwig-Universität
            Freiburg, Rabus Achim
Published: June 2024

This contribution is dedicated to the comparative quantitative analysis of two
versions of the same monument: the manually corrected edition of the Učitelno Evangelie,
which serves as the basis of the dictionary, and the text of manuscript Sin. 262, as
transcribed by a model specifically trained in the Handwritten Text Recognition (HTR)
engine Transkribus. The aim is to explore to what degree it is possible to use HTR texts
with a certain number of errors, without post-correction, for meaningful analysis. I
compare the frequency of different word tokens in both the manually corrected UE edition
and the uncorrected HTR transcription. Overall, while some errors in the HTR
transcription could be observed, the differences are rather insignificant, indicating
that certain types of quantitative analysis can be conducted with uncorrected HTR
transcriptions. This allows for the quantitative analysis of large amounts of Church
Slavonic textual data that could not be edited and analyzed manually. I conclude the
paper with an appeal to consider the digital afterlife of traditional, analogue
editorial work.
Laudato siʼ – mednarodnopolitični in pravni vidiki
Authors: Fink Andrej
Published: June 2024

We cannot talk about man, if we do not talk about the environment that surrounds him. Without the environment there is no man. Now, the environment has its own borders. Borders can be of physical or mental nature. The encyclical Laudato si' is dedicated to the very same environment and its borders of various types. Soon after the Second World War, the whole humankind recognized the fact that the planet Earth is not unlimited and that it has to be protected. For this purpose, the United Nations started to organize international conferences where several countries already accepted many regulations regarding the protection of the environment. However, all these regulations are only of positivist nature without any reference to the spiritual project which is an integral part of the human being. They refer only to the nature in the physical sense without spiritual dimensions, let alone to the Creator of the aforementioned nature. Therefore, all these regulations proved themselves as week and inefficient. Laudato si' talks in a Christian perspective, it expresses something new. It represents the Christianization of the entire issue. With this encyclical the Pope is once again putting things in their proper place.