bluuebunny/crossref_metadata_2025 huggingface dataset:
The Figure of the Refugee or the Limits of Binary Thinking
A Post-Migratory Approach to Mohamed Mbougar Sarr's Silence du chœur.
Authors: Amaury Dehoux
Published: December 2024

This article examines Mohamed Mbougar Sarr’s Silence du chœur as a critique of the compartmentalization inherent in refugee status and its impact on our understanding of migration. The analysis begins by revealing how the concept of the refugee perpetuates binary divisions rooted in colonial thought. Building on this premise, the study explores the poetics of space as a mechanism for rejecting these binary divisions, positioning refugees not within the confines of camps but at the very heart of urban life. Aligning with postmigrant perspectives, which engage with postcolonial theories, Sarr’s novel articulates a poetics that ‘demigrantizes’ the refugee and explores the vision of a pluralistic future for contemporary European societies.
Representing Refugees in Children’s Transethnic Literature: Two Multilingual and Intermedial Narratives as a Case Study
Authors: Taronna Annarita
Published: December 2024

This contribution aims to explore two picture books of transethnic literature that open up intermedial narrative paths by supporting each of the proposed books with a free accessible illustrated audio book. Accordingly, it examines the extent to which implementing English as a Foreign Language (EFL) lessons with such multimodal stories about migration can engage students in deconstructing such tropes as the idea of a national literature, a mother tongue language, a stable community of belonging and a hostile country of arrival that typically characterise mainstream migration narratives and paradigms.
Preserving Cultural Heritage in Indigenous Pandemic Fiction: “Coming-to” Stories of Resistance in Cherie Dimaline’s The Marrow Thieves
Authors: Bastianoni Elena
Published: December 2024

This study intends to investigate Indigenous pandemic fiction through an analysis of The Marrow Thieves by Métis writer Cherie Dimaline. By depicting the journey of the Métis protagonist Frenchie, the novel explores Indigenous identity in a dystopian scenario where non-Indigenous people have succumbed to a plague affecting the ability to dream. Taking into consideration Jan Assmann’s concept of cultural memory and N. Scott Momaday’s depiction of the power of language, the paper would focus on the role of storytelling and linguistic heritage in the process of ‘survivance’ of Indigenous identity. The novel outlines dreams as spaces of resistance bound to the protection of cultural identity, by also revisiting the history of forced assimilation through the Residential School System. Frenchie’s journey presents the act of dreaming as the ultimate symbol of hope in a posthuman scenario where humankind has lost control over the Earth.
Dall’imago clipeata alla Theotokos Platytera
Fenomeni di contaminazione e sublimazione nell'iconografia mariana dei primi secoli
Authors: Celentano Michele
Published: December 2024

The particular iconographic theme of the Theotokos Platytera is manifested as an iconic representation in which the infant Christ is always inserted inside a clipeo – a disc with a circular shape or an ellipsoidal almond – that she holds up as if it were a portrait on the shield to impose on the veneration of the bystanders. Although the meaning underlying the use of clipeo is original and entirely in line with the contemporaries written of the most important ancient Christian authors, its use is presented as the reuse of a much older portrait typology and reinterpreted over the centuries, that is the imago clipeata which is conferred a multiple semantic value. The way in which the Virgin supports the imago Christi in the oldest attestations is configured as a transmigration of gestures and meanings borrowed from previous female clipeophores representations, thus giving life to 'hybrid' visual constructions extraordinarily rich in variations. The images of the Platytera are similar, in terms of iconography and meaning, to the type of the Victoria in clipeo scribens and rarest images of Aphrodite hoplismene. The analysis and iconographic comparison of the most ancient figurative testimonies highlight numerous conceptual links that demonstrate the persistence and continuity of the symbolic value attributed to the presence of the clipeo which gave rise to new visual formulas in Christian art recombined with familiar elements.
La linea d’acqua: sulla stamperia Pasquali come laboratorio d’incisione di Canaletto e Visentini
Authors: Pietrabissa Camilla
Published: December 2024

[abstract missing]
Mediastinitis aguda en un Hospital público de tercer nivel en la ciudad Bogotá, Colombia: Serie retrospectiva de 6 años.
Authors: Cruz Mendoza Diego Fernando , Martínez Jaramillo Stella Isabel , Villamizar Benesch Fredy Ernesto , Toledo Arenas José Daniel
Published: December 2024

Introduction. Acute mediastinitis is an underdiagnosed entity with diverse clinical results, in addition to having multiple etiologies, among which are post-cardiac surgery, being the most studied and with clearer statistics, others less analyzed such as those caused by esophageal perforation and descending necrotizing mediastinitis, traumatic and idiopathic diseases. We describe the paraclinical findings, management, and prognosis of this entity in a third-level public hospital in the city of Bogotá, Colombia, where specialties such as thoracic surgery, pneumology, and gastroenterology are available.
Materials and methods. We conducted a descriptive observational study with a retrospective search of the medical records of patients diagnosed with acute mediastinitis and related (we ruled out complications from cardiac surgery as an exclusion criterion); Paraclinical variables, etiologies, type of image, microbiology, management, complications, and mortality were described in this group of patients.
Results. 35 subjects in a period of 6 years, the majority were men in 82.9% with an average age of 44 years, the most frequent etiologies were esophageal perforation (PE) with 48.7% (the main cause was foreign body ingestion) and descending necrotizing mediastinitis (DNM) with 45.7% (main trigger was odontogenic abscess with 62.5%); drug dependence was the most frequent comorbidity in 48%; the most frequently performed imagen study was computed tomography in 94.3%, mediastinal edema and emphysema were the main radiological findings, gram-negative bacilli and gram-positive cocci the most found in cultures, surgery being the main management, distributed between cervicotomy and thoracoscopy (VATS) depending on the etiology; overall mortality was 22.9% and the average hospital stay was about 29 days.
Discussions and conclusions. This is one of the largest Colombian studies on this pathology. Because it is performed in a public hospital, various etiologies are obtained. Drug dependence as a prevalent comorbidity associated with poor oral hygiene, it generates odontogenic septic foci as the origin of descending mediastinitis and ingestion of foreign bodies in esophageal perforation with mediastinitis; These findings differ from what has been reported in the world literature, given that by not having an endoscopic intervention service, iatrogenesis was less frequent. Training and skills in minimally invasive management or a multidisciplinary conservative approach have displaced major surgeries performed in the past, our data on hospital stay and mortality are within the range described in world literature.
DDoS Attacks Detection With Deep Learning Approach Using Convolutional Neural Network
Authors: Widodo Rafiq Amalul , Delimayanti Mera Kartika , Wulandari Asri
Published: December 2024

The detection system of DDoS (Distributed Denial-of-Service) attacks aims to enhance network security across all facets of internet technology utilization. One is at SPKLU, which stands for Public Electric Vehicle Charging Station. The research employed a deep learning approach utilizing a Convolutional Neural Network (CNN) on a publicly available dataset. Based on our study and analysis, CNN has a precision rate of 95%. Its high accuracy and balanced performance across diverse attack types indicate the model's practical application in real-life situations. The model demonstrates promising performance in detecting different network traffic anomalies, offering significant insight into its potential for practical use. Further investigation is necessary to strengthen the resilience of DDoS assault tactics against emerging dangers and to tackle any potential constraints.
Classification of Brain Tumors by Using a Hybrid CNN-SVM Model
Authors: Nabila Talitha Safa , Salam Abu
Published: December 2024

Brain tumors are diseases that involve the growth of brain cells, causing abnormalities in the brain region. An MRI scan is a useful tool for tumor detection. Researchers can process the obtained image data to conduct research capable of detecting brain tumor disease. Classifying brain tumors facilitates effort, planning, and accurate diagnosis, enabling the formulation and evaluation of treatment options for a patient with a brain tumor. The research was conducted to classify whether or not there was a tumor in the brain by using a combination of algorithms, namely CNN, to extract features from image data and then use SVM as a classification. CNN is a popular algorithm that deals very effectively with the complexity and variation of image data, whereas SVM is an algorithm for classification that maximizes margins and generalizations to produce accurate classifications. The project's goal is to create a hybrid model that can classify two labels based on image preprocessing processes, feature extraction, and brain tumor image data classification. In this study, the results of the CNN-SVM hybrid were able to obtain the highest score with Adam optimization and learning rate 0.001, accuracy of 98.92%, precision 98.92%, recall 98.92%, and f1-score 98.92%.
Designing an Chatbot with NLP Technology in a Website-Based New Student Admission Information System
Authors: Fauzan Muhammad Fathan , Imanda Rahmi , Hasbi Muhammad Adryan
Published: December 2024

In the fast pace of digitalization, student admission information system websites face the challenge of providing responsive and quality services to applicants. One emerging solution is the use of chatbots, which enable automated interaction with customers. Technology continues to transform over time.  At SMK Insan Teknologi (InTek), the service process is still manual, such as physical archives for student registration, incomplete information, and the absence of an official website. To improve administration and data access, a web-based information system is offered. While the Chatbot helps in interactive services and time efficiency to answer registrants' questions, NLP is used to make the conversation in the chat more natural and easy to understand by registrants. The results of testing the system show that the system functions properly in responding to messages sent through the chatbot on the website both from the message text according to the intent, as well as abstract text and not according to the pattern with an accuracy rate of 87,5%. It is hoped that this research can improve the quality of service and administrative efficiency at SMK Insan Teknologi and can be applied in other educational institutions.
Prediction of Air Quality Index Using Ensemble Models
Authors: Rochadiani Theresia Herlina
Published: December 2024

The impact of air pollution on health is measured by the Air Quality Index (AQI). Accurate AQI prediction is essential for pollution reduction and public health recommendations. Traditional methods of monitoring air quality are inaccurate and time-consuming. This study uses IoT-based air quality data from Kampung Kalipaten, Tangerang to build an AQI prediction model with machine learning, specifically an ensemble model. Ensemble techniques such as bagging and boosting, which increase the reliability of predictions by reducing model bias and inconsistency, improve AQI prediction. Four ensemble models used in this study, they are Random Forest Regressor, Gradient Boosting Regressor, Adaboosting Regressor, and Bagging Regressor. As the evaluation, RMSE and R2 metrics used. Random Forest Regressor perform the best with RMSE value of 0.6054 and R2 value of 0.6271, although no significant differences of RMSE and R2 value of the rest models.
Comparison of Hadoop Mapreduce and Apache Spark in Big Data Processing with Hgrid247-DE
Authors: Utami Firmania Dwi , Astuti Femi Dwi
Published: December 2024

In today’s rapidly evolving information technology landscape, managing and analyzing big data has become one of the most significant challenges. This paper explores the implementation of two major frameworks for big data processing: Hadoop MapReduce and Apache Spark. Both frameworks were tested in three scenarios sorting, summarizing, and grouping using HGrid247-DE as the primary tool for data processing. A diverse set of datasets sourced from Kaggle, ranging in size from 3 MB to 260 MB, was employed to evaluate the performance of each framework. The findings reveal that Apache Spark generally outperforms Hadoop MapReduce in terms of processing speed due to its in-memory data handling capabilities. However, Hadoop MapReduce proved to be more efficient in specific scenarios, particularly when dealing with smaller tasks or when memory resources are limited. This is largely because Apache Spark can experience overhead when initializing tasks for smaller jobs. Furthermore, Hadoop MapReduce's reliance on disk I/O makes it more suitable for tasks involving vast amounts of data that surpass available memory. In contrast, Spark excels in situations where quick iterative processing and real-time data analysis are essential. This study provides valuable insights into the strengths and limitations of each framework, offering guidance for practitioners and researchers when selecting the appropriate tool for specific big data processing requirements, particularly with respect to speed, memory usage, and task complexity.
Comparison of Oversampling Techniques on Minority Data Using Imbalance Software Defect Prediction Dataset
Authors: Hidayat Deni , Manik Lindung Parningotan
Published: December 2024

Software Defect Prediction Dataset as a component of the Software Defect Prediction model has a very vital role. However, NASA Software Defect Prediction has a problem with imbalance in minority data. This study compares the performance of oversampling techniques in overcoming this. A total of 90 oversampling techniques in the form of SMOTE and its variants were used. The results of this study indicate that there is no oversampling technique that is able to overcome this. The original dataset without oversampling shows good performance at the level of accuracy and f1-score but has low performance on auc-score and g-score. Several oversampling techniques show increased performance on auc-score and g-score, unfortunately at the same time showing a decrease in performance on accuracy and f1-score.
Sentiment Analysis of Online Vehicle Tax Renewal Application Users Using Support Vector Machine Algorithm
Authors: Fauzy Muhamad Ilham , Abdulloh Ferian Fauzi
Published: December 2024

This study examines user sentiment towards online vehicle tax renewal applications by utilizing the Support Vector Machine (SVM) algorithm. The data was collected from user reviews on the Google Play Store for three major applications: New Sakpole, Sapawarga, and Timsalut. The reviews were preprocessed through steps including normalization, case folding, tokenization, and stopword removal. The SVM algorithm was then applied to classify the reviews into positive or negative sentiments. A comparative analysis was performed with K-Nearest Neighbors (KNN) and Naïve Bayes, with SVM demonstrating the best performance, achieving an accuracy of 76.5%. In addition to accuracy, metrics such as precision, recall, and F1-score were also evaluated to provide a more comprehensive assessment of the models. The results indicate that while these applications help facilitate vehicle tax payments, there remains significant user dissatisfaction, particularly related to technical issues and usability concerns. This study offers valuable insights for application developers, highlighting areas for improvement in functionality and user experience to better meet public expectations.
Comparison of Naïve Bayes Classifier and Decision Tree Algorithms for Sentiment Analysis on the House of Representatives' Right of Inquiry on Twitter
Authors: Wahyuni Putri , Romli Moh. Ali
Published: December 2024

This research analyzes public sentiment towards the topic of the House of Representatives' Right of Inquiry on Twitter using Naïve Bayes Classifier and Decision Tree algorithms. The goal is to compare the effectiveness of the two algorithms in political sentiment analysis. . The research methodology includes data collection from Twitter, data pre-processing, sentiment classification, and result analysis. Sentiment analysis reveals the dominance of positive sentiment related to the DPR's Right of Inquiry. However, this study has limitations in terms of dataset size and depth of text-based sentiment analysis. This research contributes to a better understanding of public sentiment towards political issues in Indonesia and highlights the importance of proper algorithm selection in social media sentiment analysis.  Development suggestions include exploration of deep learning techniques, integration of multimodal analysis, data balancing (oversampling or undersampling) and improvement of pre-processing so that the model is better able to capture negative contexts. The results of the study showed excellent performance of both Naive Bayes Classifier and Decision Tree algorithms with accuracy above 95%. Decision Tree excels with an accuracy of 99%, while Naïve Bayes Classifier performs better with an accuracy of 96%. The results with the Confusion Matrix test are precision 0.98, recall 1.00, and F1-Score 0.99.
Comparison of EfficientNetB1 Model Effectiveness in Identifying Fish Diseases in South Asian Fish Diseases and Salmon Fish Diseases
Authors: Afridiansyah Rahmanda , Setiadi De Rosal Ignatius Moses
Published: December 2024

The purpose of this study is to evaluate the effectiveness of the EfficientNetB1 model in identifying fish diseases across two distinct datasets: South Asian Fish Diseases and Salmon Fish Diseases. The South Asian Fish Diseases dataset includes seven categories: red bacterial disease, aeromoniasis, gill bacterial disease, fungal saprolegniasis, parasitic disease, and white tail viral disease. The Salmon dataset is divided into two parts: FreshFish and InfectedFish. Using the EfficientNetB1 algorithm, each dataset was separately trained and tested to predict species and disease. Results showed an accuracy of 98.14% for the South Asian Fish Diseases dataset and 99.18% for the Salmon Diseases dataset. These findings support the argument that the model possesses sufficient capability to detect diseases affecting various fish species. This suggests that the model could be a valuable tool in the aquaculture industry for disease management and detection strategies.
Implementation of AlexNet and Xception Architectures for Disease Detection in Orange Plants
Authors: Al Fatah Venus , Romli Moh. Ali
Published: December 2024

Oranges are one of Indonesia's primary horticultural commodities, with production increasing each year. However, pest and disease infestations often go undetected, leading to significant reductions in crop yields. This study implements Convolutional Neural Network (CNN) technology to identify diseases in orange plants using two architectures: AlexNet and Xception. The implementation results show that the Xception architecture achieved a high accuracy of 96% after 100 training epochs, indicating its effectiveness in disease detection tasks. This research highlights the potential of integrating CNN technology, particularly the Xception model, into web-based systems for disease detection in orange plants. Such systems can assist farmers in maintaining crop health, improving productivity, and ensuring harvest quality.
The Effects of Preprocessing Techniques on Nasnetmobile’s Performance for Classifying Knee Osteoarthritis Based on the Kellgren-Lawrence System
Authors: Wiradinata Marcell Jeremy , Wonohadidjojo Daniel Martomanggolo
Published: December 2024

Osteoartritis lutut (KOA) adalah kelainan sendi degeneratif yang ditandai dengan kerusakan progresif tulang rawan pelindung di ujung tulang, yang mengakibatkan nyeri dan keterbatasan mobilitas. Pembelajaran mendalam memberikan pendekatan yang efektif untuk mengklasifikasikan tingkat keparahan KOA; namun, praproses kumpulan data dapat meningkatkan kemanjuran model pembelajaran mendalam. Studi ini menunjukkan pentingnya praproses, khususnya dalam memanfaatkan model NASNetMobile untuk menilai tingkat keparahan KOA melalui gambar sinar-X. Klasifikasi KOA terdiri dari lima tingkat keparahan yang meningkat; namun, pendekatan ini mengurangi kumpulan data menjadi dua kategori. Teknik praproses digunakan untuk meningkatkan kontras dalam gambar sinar-X dan menyorot area yang diinginkan. Dengan menyempurnakan sebagian model NASNetMobile, menggabungkan pengoptimal Nadam, model tersebut hanya mencapai akurasi validasi 59%; namun, dengan menggunakan berbagai fungsi praproses, model tersebut mencapai akurasi validasi 80%.
Evaluating Netflix’s User Experience (UX) Through The Lens Of The HEART Metrics Method
Authors: Astriani Yulia , Indah Dwi Rosa , Utari Meylani , Syahbani M Husni
Published: December 2024

Netflix is one of the most popular subscription video-on-demand (SVoD) platforms, offering a wide range of authentic, high-quality content and features that allow users to select, enjoy, and share their viewing experiences on social media. Despite its popularity, Netflix often receives complaints from users, including issues with accessing the application and various features related to viewing activities. The aim of this study is to evaluate the user experience of the Netflix application and provide recommendations for improvement based on data analysis. To achieve this, the HEART Metrics are utilized, which focus on the user's perspective, and apply the Importance-Performance Analysis (IPA) method to map performance and identify improvement priorities. The research reveals several areas that require enhancement, particularly three priority variables: the Happiness variable (Hp3), indicated by the statement "I like the appearance of the Netflix application"; the Retention variable, represented by "I enjoy using the features of the Netflix application"; and the Task Success variable (Ts4), reflected in "I can save movies in the Netflix application." To improve user satisfaction, Netflix can incorporate both light and dark themes, creating a more user-friendly interface. This update could enhance navigation, increase time spent on the platform, promote recommendations, and encourage subscription renewals.
Model Pembelajaran Mesin untuk Deteksi Penipuan Kartu Kredit yang Dioptimalkan Menggunakan SMOTE-Tomek dan Rekayasa Fitur
Authors: Wibowo Mochammad Abdurrochman Ari , Setiadi De Rosal Ignatius Moses
Published: December 2024

Dalam ekonomi digital saat ini, kartu kredit sangat penting dan baik penggunaan maupun pencurian kartu kredit telah meningkat secara signifikan dalam beberapa tahun terakhir. Penipuan kartu kredit dapat dikategorikan menggunakan model pembelajaran mesin menggunakan data dari riwayat transaksi yang mencurigakan. Namun data kredit sering tidak seimbang. Karena itu, model pembelajaran mesin bias terhadap kelas mayoritas yang mengakibatkan kinerja yang buruk pada kumpulan data klasifikasi kartu kredit Kaggle yang dapat diakses oleh masyarakat umum. Kami menyeimbangkan distribusi kelas dalam kumpulan data menggunakan strategi oversampling minoritas sintetis hibrida untuk mengatasi kesulitan ini. Temuan menunjukkan bahwa model pembelajaran mesin random forest yang dikombinasikan dengan teknik oversampling yang dikombinasikan dengan rekayasa fitur dan validasi silang menghasilkan hasil optimal yang lebih dari 99% untuk semua ukuran penilaian. Performanya lebih baik dibandingkan dengan tiga model lain, yaitu decision tree, gradien boosting, dan XGBoost. Dapat disimpulkan bahwa penggunaan rekayasa fitur, validasi silang, dan oversampling merupakan pendekatan yang berguna untuk menangani data kartu kredit yang tidak seimbang dan akhirnya membantu dalam pencegahan penipuan transaksi kartu kredit.
A Cartographia elektronikus, interaktív térképei az oktatásban
Authors: HIDAS Gábor
Published: December 2024

A hazai iskolákban a 2000-es évek második felében tűntek fel az interaktív térképek. Elsőként a Cartographia Tankönyvkiadó Kft. alakította át nyomtatott atlaszait interaktívvá, és érdekességük, hogy az évek folyamán a térképekre alapozott elektronikus tananyaggá fejlődtek. Az írás ezeknek a földrajzi, történelmi és irodalmi interaktív tananyagoknak a rövid történetét, felépítésüket és az oktatásban betöltött szerepüket tekinti át. Kitér az interaktivitás jelentőségére és lehetőségeire az oktatásban, valamint röviden áttekinti a szerkesztésük közben felmerülő legfontosabb szempontokat.
Conocimiento local y territorialidad en Hueyapan, Morelos, México
Authors: Villagómez Reséndiz Radamés
Published: December 2024

Este artículo desarrolla un relato etnográfico de un conflicto sobre territorialidad y agua en México con la finalidad de explicar la dimensión normativa del conocimiento local que subyace a dicha disputa. El conflicto territorial en cuestión se deriva del reciente proceso de municipalización indígena en la comunidad de Hueyapan, Morelos, México. La orientación teórica de esta aproximación etnográfica abreva de la ecología política, mostrando que las tensiones subyacentes a las asimetrías de poder se producen no sólo entre las formas hegemónicas de conocimiento y formas alternativas de conocimiento, sino también transversalmente entre las propias comunidades que detentan el conocimiento local.
Novedades para la flora de briófitos de la provincia de Chaco, norte de Argentina
Authors: Jimenez Soledad
Published: December 2024

Background and aim: Bryophytes are an important group of plants in forest ecosystems that act as primary colonizers, moisture regulators and nutrient fixers. Due to their sensitivity to disturbance, they are used as bioindicators in impact studies. Nevertheless, there are extensive areas poorly studied that currently are undergoing significant changes due to agricultural and livestock practices, as is the case in Chaco. As part of a major project which aims to determine the impact on land-use change on the bryophyte diversity in Chaco, samples collected in the region have been analyzed with the aim of updating knowledge of the bryophyte flora in the province.
M&M: Samples from preserved and non-preserved areas from Chaco were studied according to the traditional techniques for bryophytes and mounted in water-glycerin-phenol or Hoyer´s solution.
Results: As a result, 26 species distributed in 19 genera and 13 families, are newly recorded to Chaco province.
Conclusions: The results improved our understanding of a poorly explored flora in a region with unique characteristics. These findings reinforce the value of floristic studies to collect data about poorly known species and their distribution, and to provide a basis for applied studies. In Argentina, despite efforts made in recent decades, there is still a lack of understanding regarding bryophyte diversity. This, combined with rapid changes in land use, may lead to the alteration or disappearance of bryophyte communities before they are even studied.
Análisis comparativo del cariotipo y de la meiosis de dos especies de Adesmia (Fabaceae, Muricatae)
Authors: Páez Valeria de los A. , Andrada Aldo R. , Caro María S.
Published: December 2024

Background and aims: Adesmia is part of the native flora of Argentina and includes approximately 100 species. Among the species of the genus, A. muricata var. dentata and A. cordobensis var. cordobensis are inermous herbs of the Muricatae series which are widely distributed in northwestern Argentina. Cytogenetic studies are scarce for the genus. In order to carry out a comparative study between these two species, the aim of this work was to provide the first statistically based morphometric studies of karyotypes of A. muricata var. dentata and A. cordobensis var. cordobensis as well as analyze meiotic behavior of them.
M&M: Mitotic metaphases were obtained from roots pretreated with 8-hydroxyquinoline. Chromosomes were stained with 2% propionic hematoxylin. Estimation of pollen grain viability was performed with the Müntzing staining.
Results: All analyzed populations had a chromosome number 2n = 20, symmetrical karyotypes and karyotypic formula consisting of 20 m (metacentric) chromosomes. Adesmia muricata var. dentata and A. cordobensis var. cordobensis have different average chromosome lengths. Furthermore, A. muricata var. dentata presented satellites, not observed in A. cordobensis. In both taxa analyzed, the meiotic behavior was regular, and the viability of the pollen grains was close to 90%.
Conclusions: Chromosome counts, karyotypes, meiotic behavior and viability of pollen grains are novel data. Cytogenetic characteristics allow these related species to be distinguished.
The Effect of Corporate Social Responsibility on Audit Fees According to Environmental Uncertainty: Evidence from Korean Listed Companies
Authors:   Asia-Europe Perspective Association, Feng Panpan , Jeon Seong il , Choi Young-moon
Published: December 2024

This study empirically analyzed how corporate social responsibility and uncertainty in business environment affect audit fees. If corporate social responsibility (CSR) activities are recognized as non-financial performance values by the company’s stakeholders, or play a role in enhancing transparency, these companies will reduce their audit risk compared to other companies, resulting in lower audit costs. In addition, companies with low uncertainty in the management environment are expected to have relatively lower audit fees than those that do not, because the factors and risks of audit input are relatively lower than those of high companies.
The important analysis results of this study are as follows.
First, there was a positive (+) relationship between corporate social responsibility (CSR) and audit fees. This may be the result of not taking into account the non-financial activities of the audited company when determining the audit fee, and is similar to the previous previous studies that examined the relevance of dysfunctions rather than the net functions of social responsibility (CSR).
Second, it was found that corporate social responsibility activities with low uncertainty in the management environment had a significant negative (-) effect on audit fees.
Taking these results together, the audit firm judges the CSR activities of the audited company as discretionary activities of the company, but the CSR activities in companies with relatively low uncertainty are considered as a discriminatory result of lowering the audit risk factor.
The results of this study are meaningful in analyzing the relationship between corporate financial performance and non-financial performance such as social responsibility (CSR) from the perspective of an accounting firm, not from investors and stakeholders, rather than financial performance, but from non-financial performance. From the standpoint of companies, social responsibility is also an important factor that can have a comparative advantage in a competitive landscape, and effective management and control can be promoted. However, these results may be the result of not reflecting the relative financial characteristics and changes by industry, or the result of not taking into account these non-financial activities in the audit fee contract, but the effectiveness of social responsibility depends on the financial performance of the company and environmental characteristics. This is judged to be the result of the analysis from the perspective of an accounting firm.
A Stranger in Europa?: Two worlds in me - based on Texts by Rafik Schami, Yoko Tawada and Byoung Chul Han
Authors:   Asia-Europe Perspective Association, Lee Youngnam
Published: December 2024

In today’s globalized age there are a number of writers worldwide who do not write in their mother tongue, but in a foreign language. This study examines the characteristics of these writings, focusing on the texts of Syrian writer Rafik Schami, Japanese writer Yoko Tawada, and Korean philosopher and essayist Byung Chul Han. These three writers have a lot in common. They all came to Germany as adults, received their Ph.D. in Germany and they speak German with an accent, namely syrian, japanese, and korean.
The question arises as to whether the literature by authors who write German and whose mother tongue is not German can simply be called migrant literature, migration literature or guest worker literature. In addition, the question of what mother tongue and homeland means in a globalized age is fundamentally raised. When looking at these three writers, the mother tongue is no longer “the house of being” in the Heideggerian sense, but an instrument with which one expresses one’s (mother) linguistic thoughts.
In my study I tried to explain aspects of writing in a foreign language using the example of the authors mentioned above and to look at writing in terms of “a not only German literature” in the Schami case and the thesis “from mother tongue to language mother” by Tawada. The approach of Schami and Tawada, a culture without thresholds, can also be named with the term hyperculture, as Han Byung Chul describes it.
Writing in a foreign language can always create a new perspective and mutual strangeness. Is it only possible to express your feelings authentically in your mother tongue and not in a foreign language? Japanese Tawada notes, however, that there were no words in her mother tongue that corresponded to her feelings. Syrian Rafik Schami has found a new home in the German language. South Korean essayist and philosopher Han Byung Chul writes only in German and for him, the mother tongue literally means a language that is spoken with the mother. “Language is taken away from language today”, he says, examining the problem of language and silence in the question of thought in detail. Through their writing methods, we examine what their mother tongue or language is and what they mean in the globalized era, the relationship between hometown and language, and who I am.
A study on Taiwanese tourism demand for South Korea: An ARDL bounds testing approach
Authors:   Asia-Europe Perspective Association, Kwon Yongjae
Published: December 2024

This study examines the relationship between the number of Taiwanese tourists visiting South Korea and economic variables. As economic variables, Taiwan’s real GDP per capita, real exchange rate and jet fuel price were considered. For the analysis, cointegration analysis based on the Autoregressive Distributed Lag (ARDL) model, which is more flexible than the existing cointegration analysis technique, was applied. It was found that the number of Taiwanese tourists visiting South Korea increases in the long run as the real GDP per capita of Taiwan increases and the real value of the won per Taiwan dollar decreases. As jet fuel price increases, however, the number of Taiwanese tourists visiting South Korea increases in the long run, which contradicts economic intuition. However, the coefficient estimated was not only small but also statistically insignificant. The empirical findings indicate that Taiwan’s tourism demand for South Korea is significantly affected by Taiwan’s real GDP per capita and real exchange rate. These results can be used to enhance the efficiency of the tourism and leisure industry and to establish tourism policies.
Development of a competency-based English curriculum: A case of Singapore
Authors:   Asia-Europe Perspective Association, Yim Su Yon
Published: December 2024

The 2015 national curriculum is the first curriculum developed in Korea that is based on the concept of competency. Although there are elements of competencies such as subject specific competencies, a lot of criticism of the curriculum has been that it has limitations as a competency-based approach. This study examines the case of English language teaching in Singapore, and suggests a possible move towards competency-based education in Korea by improving the English national curriculum. For this, English syllabuses in Singapore from 2001 to 2020 were examined. The main focus was on how changes were made towards competency-based education from the 2001 English syllabus to the recently launched 2020 syllabus. The analysis showed three findings. First, the language use model, the framework for the EL syllabus, has been developed by building on the past. Four factors (purpose, audience, context, culture) have remained unchanged for twenty years in order to maintain continuity, but changes have also been made in the syllabus in a fairly revolutionary way. Second, the English syllabuses address the question of why we teach English, what we teach and how we teach English. Third, the syllabuses reflect the current studies on English education, the prevailing view of the role of English in a globalised society, the role of grammar, and relations among the four skill areas. Based on the findings, educational implications have been outlined about the direction of competency-based English education in Korea.
The Effect of Overseas Direct Investment on Employment
Authors:   Asia-Europe Perspective Association, Kwon Sun-Hee
Published: December 2024

The purpose of this study is to empirically analyze the relationship between overseas direct investment(ODI) and domestic employment. For the analysis, the overseas investment statistics DB from 2002 to 2020 was used to estimate by industry behavior. In other words, vertical ODI, which utilizes the difference in factor intensity between the two countries, and the impact on employment in the service and manufacturing industries, and horizontal ODI, aimed at advancing into the local market, were divided and analyzed. Based on the labor demand function, a model was established, wages, exchange rates, and production indices were set and estimated, and policy recommendations for foreign direct investment were presented. The empirical analysis results are as follows.
First, as a result of analysis by industry, an increase in wages in the manufacturing and service industries was found to have a negative effect on employment, but an increase in production was analyzed to have a positive effect on employment. On the other hand, the exchange rate showed a negative relationship with employment, but it was found to have no significance.
Second, as a result of estimating horizontal ODI and vertical ODI by classifying overseas direct investment by behavior for all industries, both behaviors were found to have a negative effect on employment. However, when comparing the coefficient values, it can be seen that the horizontal ODI responds more sensitively than the vertical ODI. In 2002, vertical ODI outperformed horizontal ODI, but then reversed and the gap between horizontal and vertical ODI widened.
Third, as a result of analysis by industry and behavior, the relationship between employment and ODI was not clear in the service industry. However, a negative relationship was clearly evident in the manufacturing sector. Horizontal ODI, which is invested to enter the local market or to reduce trade costs, may have a minimal or positive effect on employment, but vertical ODI, which is invested in developing countries to utilize low-wage labor force, has a negative impact on domestic employment. that the impact is great.
A Study on the Evaluation and Revitalization of the Kaesong Industrial Complex from the Perspective of SDGs: Focusing on the Performance and limitation of the Kaesong Industrial Complex
Authors:   Asia-Europe Perspective Association, Jin Yunho
Published: December 2024

This paper studies an evaluation and revitalization strategy of the Kaesong Industrial Complex from the perspective of SDGs (Sustainable Development Goals). Unlike previous studies, this study aims to contribute to the performance of the SDGs of North Korea through the revitalization of the Kaesong Industrial Complex, focusing on the fact that North Korea has the will and effort to implement the SDGs. The main findings are as follows: First, the status of North Korea’s SDGs is found to be poor in economy and society other than the environment compared to China and Vietnam, which are economy transition countries. Second, As a result of analyzing the Kaesong Industrial Complex from the perspective of SDGs, the increasing production and the improvement of the working conditions of the Kaesong Industrial Complex contribute to the economic and social of the SDGs in North Korea. On the other hand, the financial system and the use of eco-friendly energy sources are limitations. Therefore, based on the analysis of North Korea’s SDGs and the Kaesong Industrial Complex, the strategy for the revitalization of the Kaesong Industrial Complex is presented by dividing it into long-run and short-run. Each period is divided into economy, society, and environment. In the short run, the strategy is drawn up to restart and normalize the Kaesong Industrial Complex. In the long-run, based on the short-run performances, the goal is to contribute to all of the SDGs by strengthening the competitiveness of the Kaesong Industrial Complex. It is expected that this study can be used as a plan to strengthen North Korea’s SDGs capacity through the Kaesong Industrial Complex and to expand and revitalize inter-Korean economic cooperation.
12 Apostles Pilgrimage of Shinan Isalnd and Cultural Tourism Content
Authors:   Asia-Europe Perspective Association, Kim Dohyoung , Lee Seunkwon
Published: December 2024

Traditionally, pilgrimage is an attempted travel for religious purposes. Although outwardly, it is a visit to a religious sanctuary, it is actually a religious event for religious loyalty or spiritual healing. However, the purpose of pilgrims visiting Santiago and Jerusalem, which are representative pilgrimage sites, is different. The reason is not independent of the historical background in which the two regions were designated as places of pilgrimage. In other words, the location characteristics of the two regions are different. If Jerusalem is purely religious, then Santiago is mainly for tourism, healing and self-reflection. Santiago is often visited for personal reasons, such as tourism and experiences, rather than for religious reasons. However, as the pilgrimage was approached from an economic point of view, the boundaries between religion and secularism became blurred. Although the pilgrimage on the way to Santiago has become less religious today, it still has a religious character. The 12 apostles pilgrimage route to Soakdo and the starting point of Sinan, Jeollanam-do is the result of creating new cultural contents by linking the local cultural heritage of Shinan with the 12 apostles of Christianity. Although the pilgrimage route to Santiago was the motif of the 12 Apostles in Sinan, the religiousness and popularity of the pilgrimage was significantly reduced. Therefore, reinforcement of new content is necessary. This is the focus of this study. You have to think about what you want to present to your visitors. It showed the potential of tourism content by providing a space for contemplation, but it is insufficient. It is specialized as a place that provides time and space for reflection to modern people who are trapped in the sea and isolated islands. Therefore, this study empirically proves the existence of the pilgrimage route of the 12 apostles in Shinan and examines the originality and differentiation of the pilgrimage route of the 12 apostles in Shinan. Finally, we will look at what needs to be supplemented in terms of sustainability.
Comparison of the Emissions Trading System between Phase 4 EU and Korea after the 3rd Compliance Period : Centered on the response for Carbon Leakage
Authors:   Asia-Europe Perspective Association, Lee Hyun-Chool , Kim Meen-Geon , Choi Young-Bin
Published: December 2024

Based on the perception that carbon leakage, which is considered to be a significant matter in the European Union Emissions Trading System (EU ETS), may occur in the Korea Emissions Trading System (K-ETS) under the third compliance period, this paper compared the direction of Phase 4 of EU ETS with the 3rd compliance period of Korean Emissions Trading System (K-ETS) to suggest the future direction of the K-ETS after 3rd compliance period. Phase 4 of EU ETS uses the free allocation method, the carbon leakage exposure factor (CLEF), and carbon leakage list to prevent carbon leakage, and in the case of free allocation, the benchmark method based on the emission-efficiency tradeoff. At this point, there is a difference between the K-ETS, which uses the Grandfathering with the Benchmark for free allocation, and EU ETS.
After comparing the characteristics of the two emission trading systems, this paper presents the future direction of the Korean emission trading system as follows. First, we prepare the means to respond to carbon leakage in order to reflect the recognition of the Korean emission trading system on carbon leakage. This study reviewed the European Union's carbon leakage exposure factor (CLEF) calculation method, which is an example of carbon leakage response, and suggested expanding the emission efficiency-based allocation method (BM) while at the same time selecting carbon leakage exposure industries as prerequisites for using similar policies with the CLEF under the Korean emission trading system.
Second, it is necessary to develop a new methodology to select industries that are highly exposed to carbon leakage in the K-ETS. This study examined if the European Union's method of determining whether to register carbon leakage lists could be applied to Korea, and concluded that a new methodology should be proposed to select carbon leakage exposure industries under the Korean emission trading system.
Third, the role of free allocation of the K-ETS should be reduced in the long run. This is a prerequisite for the stable implementation of the two measures mentioned earlier to block carbon leakage and is a goal that must be achieved to maintain Korea's external competitiveness with respect to the international systems such as the carbon border adjustment system. To examine the necessity of achieving these goals, this paper calculated the potential compliance costs that Korea must bear under the carbon border adjustment system operated in conjunction with the EU emission trading system.
As a result of our calculation, Korea's external competitiveness is feared to weaken in terms of exports as the emission trading prices are significantly different from those in the European Union. It also appears rather burdensome to implement specific measures to cope with the carbon leakage.