bluuebunny/crossref_metadata_2025 huggingface dataset:
The Oxford Handbook of Biblical Narrative, Danna Nolan Fewell, (Ed.)
Authors: Stenschke Christoph
Published: January 2025

During the past decades much attention has been given to biblical narratives and responsible methods and approaches for their academic study. The original quest following the insights of the “new criticism” and applying them to the Bible is now subdivided into a number of complex clusters of quests. Therefore, an up-to-date survey of the current debate, issues and methodological approaches is most appreciated.
Slobodan Novak u hrvatskim književnim povjesnicama
Authors: Pavešković Antun
Published: January 2025

Rad istražuje pisanje o opusu Slobodana Novaka u hrvatskim književnim povjesnicama osvrćući se poglavito na relevantne književnopovijesne sinteze: konkretno povijesti hrvatske književnosti Ive Frangeša, Dubravka Jelčića i Slobodana Prosperova Novaka te "Povijest hrvatskoga romana" Krešimira Nemeca. Dotiče i neka poglavlja važna za temu u zborniku "Hrvatska književnost u evropskom kontekstu", kao i na intrigantan predgovor Novakovim izabranim djelima Igora Mandića u ediciji Pet stoljeća hrvatske književnosti. Zaključno se bavi i komentarom predgovoru Novakovim "Sabranim djelima" iz pera Tonka Maroevića u izdanju Matice hrvatske. Osnovni je cilj ovoga rada na odabranim primjerima književnopovijesnih tekstova o Novakovim književnim djelima pokazati kako su Novakovi romani i novele, još za vremena Novakova aktivna djelovanja i intenzivna pisanja, postigli ugled i pozicionirali se u samom vrhu hrvatskoga književnoga kanona. Hrvatski književni povjesničari na vrijeme su prepoznali važnost i vrijednost opusa koji je tada bio u nastanku i nedvojbeno je da su na najpozitivniji način usmjerili ranu recepciju Novakova pisma. Upravo tim književnopovijesnim sintezama imamo zahvaliti brojne analitičke uvide o Novakovu pisanju – od kojih su neki ostali tek u naznakama, dok su neki uvidi i razrađeniji – koji se danas smatraju općeprihvaćenim, polaznim tezama i koji i danas stoje na početku svakoga iole ozbiljnijega razgovora o Novakovu opusu.
Tjeskoba i kako se boriti protiv tjeskobe u Babajinim ekranizacijama djela Slobodana Novaka
Authors: Kukoč Juraj
Published: January 2025

U radu su analizirani postupci uz pomoć kojih se u dvije ekranizacije književnih djela Slobodana Novaka, "Mirisi, zlato i tamjan" (1971) te "Izgubljeni zavičaj" (1980), oba u režiji Ante Babaje, prikazuju tjeskoba i načini na koje se junaci s njome bore. Analiziraju se psihološko-emocionalne reakcije likova te stilski postupci filmova.
U filmu "Izgubljeni zavičaj" protagonist osjeća intenzivnu tjeskobu zbog snažnog razočaranja svojim ocem i svojim identitetom. Bori se protiv tjeskobe na pasivan način bježeći u idealizirana sjećanja na djetinjstvo predočena lirskim audiovizualnim retrospekcijama. U filmu "Mirisi, zlato i tamjan" protagonist živi tjeskoban usamljenički život na otoku. Njegova borba protiv tjeskobe znatno je aktivnija, ali njegova aktivnost nije pozitivno usmjerena. Njegovanje stare aristokratkinje on ne doživljava kao plemenit i inspirirajući čin, već kao mazohističko samokažnjavanje, seksualno iskorištavanje mlade pripravnice kao čin očaja, a svoju intelektualnu živost koristi da bi razvio duboko ciničan pogled na svijet.
U oba filma borba glavnih likova protiv tjeskobe ne pomaže im da se tjeskobe riješe. U "Izgubljenom zavičaju" protagonistovo pasivno prepuštanje ugodnim sjećanjima na djetinjstvo samozavaravajuće je i rezultira još jačim osjećajima gorčine i razočaranja, a u filmu "Mirisi, zlato i tamjan" protagonistovo djelovanje nije pozitivno usmjereno, već destruktivno i samokažnjavajuće. Jedini uspješan borac protiv tjeskobe u tim filmovima jest ljepota samog umjetničkog čina: lirski audiovizualni prosede prvog filma i sveprožimajuća ironija potonjeg Babajina filma.
Otok kao topos – i malo više od toga: nekoliko „otočnih” ulomaka o S. Novaku, D. Milošu, S. Karuzi i L. Krasznahorkaiu povodom 100. Obljetnice rođenja Slobodana Novaka
Authors: Medve Zoltán
Published: January 2025

Općenita, klasična, nedeiktična značenja riječi "otok" koncentrirano dolaze do izražaja u poimanju otoka kao simbola. Prema dugoj tradiciji osnovna je karakteristika (simbola) otoka, kao gotovo svih simbola, njegova ambivalentnost. U svjetskoj umjetnosti/književnosti otok je nakon antike postao i topos pa je prisutan u likovnoj umjetnosti, čak i glazbi. U mađarskoj književnosti, većinom zbog geografskog položaja države, vrlo se rijetko nalaze djela s tematikom mora, još manje s tematikom otoka. Hrvatski autori imaju posebno mjesto u "morsko-otočnoj taksonomiji": u vezi s morem gotovo uvijek tematiziraju razne aspekte otoka i/ili život na otocima, odnosno individuu i otok. U ovom tekstu autor pokušava na temelju djela četiriju autora – S. Novak, D. Miloš, S. Karuza i L. Krasznahorkai – istražiti razlog zašto i kako hrvatski autori tematiziraju otok, kakvu ulogu ima korištenje i nekorištenje otočnih jezika, odnosno zašto i na kakav se način djelima prethodno navedenih triju hrvatskih autora "pridružuje" Krasznahorkaiev kratki roman.
Pripovijedanje kao očitovanje suvišnog subjekta – čitanje novela Slobodana Novaka
Authors: Majić Ivan
Published: January 2025

U pripovjednom opusu Slobodana Novaka kraće proze, novele i pripovijetke zauzimaju važan dio njegova opusa. Unatoč raznorodnosti pripovjednih postupaka, tema i načina na koji Novak gradi priču, u njegovim se kraćim prozama može primijetiti pozicioniranje pripovjednog protagonista na rub dijegetskog prostora. Bilo da je riječ o slušanju, osluškivanju ("Badessa madre Antonia", "Tvrdi grad"), odsutnom razmišljanju ("Južne misli", "Treba umrijeti logično"), asocijativnom i onirički intoniranom pripovijedanju ("Živjeti za našu stvar") ili pak da se protagonist nalazi u funkciji sudionika ("Deložacija") ili promatrača, zajedničko njegovim prozama preferiranje je suvišnog subjekta čije postojanje otvara potrebu za pričom ("Dalje treba misliti"). U radu će se analizirati upravo ta inauguracija suvišnog subjekta kao pripovjednoga generatora same priče koji priču nerijetko zastire šutnjom bilo da promatra, misli, osluškuje ili pak 'govori o nebitnom'. U različitim kontekstima i koloritima djetinjstva, otoka, grada, povijesnih događaja i prevrata Novakov suvišni subjekt bilo da je riječ o pripovjedaču, liku ili više njih, nudi kritički i ironijski intonirano pripovijedanje koje u interpretativnom i čitateljskom odmaku (p)ostaje zahtjevno i višeznačno.
Inzularnost i nemogućnost povratka – Novak, Mimica, Babaja
Authors: Šakić Tomislav
Published: January 2025

U prilogu se razmatra tematski kompleks tzv. inzularnosti – svojevrsne geste odustajanja od povijesti, razvijene u romanima "Izgubljeni zavičaj" (1954) i "Mirisi, zlato i tamjan" (1968) Slobodana Novaka – u modernističkoj hrvatskoj kinematografiji 1960-ih i 70-ih. Osim kasnijih adaptacija Novakovih djela u filmovima Ante Babaje "Mirisi, zlato i tamjan" (1971) i "Izgubljeni zavičaj" (1980) taj se kompleks na filmu prvi put uprizorio u filmu "Prometej s otoka Viševice" (1964) Vatroslava Mimice, priči o partizanu Mati Bakuli koja je filmski predočena kao rad sjećanja potaknut povratkom na rodni otok 20 godina nakon rata. Glavna je teza rada da Mimičin film nosi snažne motivske, tematske i strukturalne tragove lektire "Izgubljenog zavičaja". Figura razočaranog revolucionara pristigla je u hrvatski film upravo iz Novaka. Pitanje tretmana prostora i vremena u filmskoj priči i njezinu izlaganju kao presudno pitanje modernizma otvoreno je u hrvatskom modernističkom filmu upravo u onim igranim filmovima koji su, na fonu Novakovih djela, svoje filmske strukture uprizorili kao rad sjećanja i metaforu nemogućnosti povratka modernističkoga antijunaka u izgubljeni zavičaj.
NAVIGATING FINANCIAL AWARENESS ACROSS GENERATIONAL SHIFTS: INTEGRATING AGILE MANAGEMENT FOR FUTURE SUCCESS
Authors: Malatyinszki Szilárd , Horváth Géza , Kálmán Botond Géza
Published: January 2025

Purpose – The purpose of this study is to explore the intersection of financial awareness, generational differences, and agile management practices in achieving organizational success within the context of rapidly changing economic realities and workforce dynamics. The study aims to understand how agile management can support financial literacy across different generational groups, thereby enhancing organizational adaptability and resilience.
Methodology – The study employs a mixed-method approach, combining quantitative surveys and qualitative interviews. The surveys evaluate financial literacy levels among employees across generational cohorts, while the interviews gather insights from management teams utilizing agile frameworks. This dual approach ensures a comprehensive analysis of the relationship between generational financial literacy and agile management practices.
Findings – The analysis reveals significant generational differences in financial literacy, with younger employees demonstrating higher adaptability but lower financial literacy compared to their older counterparts. Agile management practices, characterized by flexibility, collaboration, and iterative learning, were found to effectively bridge these gaps. These practices facilitated continuous learning and enhanced cross-generational communication, fostering a more cohesive and financially literate workforce.
Conclusion – Based on the analysis, it may be concluded that integrating agile management practices with targeted financial education programs significantly improves financial literacy across all generational cohorts. This integration not only equips organizations to navigate generational shifts more effectively but also strengthens their financial resilience and adaptability to evolving market dynamics.

Keywords: Agile management, financial literacy, generational differences, workforce adaptability, organizational resilience.
JEL Codes: M14, J24, G53
TRANSITION TO MODULAR ARCHITECTURE IN MOBILE FINANCE APPLICATIONS
Authors: Kaygusuz Pinar Celdirme
Published: January 2025

Purpose- As user expectations and market demands continue to evolve, the mobile Finance applications undergoes constant updates to ensure it remains both responsive to user needs and capable of delivering reliable and high-quality services. However, as applications grow in complexity, maintaining their scalability, flexibility, and manageability becomes increasingly challenging. In this context, adopting a modular software architecture emerges as a strategic solution, offering a more streamlined approach to reducing the intricacy of mobile applications while enhancing their adaptability and scalability. This paper’s objective is to show clear comparison between moduler structure and monolitic application design. After discussing the benefits of moduler structure, a guideline will be given in order to transition moduler architecture.
Mehodology- The current structure is analyzed in dependencies aspect. The modules and how to eliminate dependencies while forming modules which can simplify development processes, improve application performance, and make updates more efficient. Furthermore, the study highlights the key advantages of this architectural shift, such as easier maintenance, faster feature deployment, and improved testing capabilities.
Findings-Specific criterias are outlined to guide the identification and definition of modules, ensuring that the modular design aligns with the application's objectives and delivers optimal benefits.
Conclusion- The study shows the positive contribution of modularization in Finance applications to support the fast changing demands.

Keywords: Modular structure, refactoring, dependency injection, modularization, mobile finance application
JEL Codes: E44, G01, G32
BACKCASTING BITCOIN VOLATILITY: ARCH AND GARCH APPROACHES
Authors: Teker Dilek , Teker Suat , Gumustepe Esin Demirel
Published: January 2025

Purpose- The primary purpose of this study is to model Bitcoin price volatility and forecast its future price returns using advanced econometric models such as ARCH and GARCH. The study aims to enhance risk management strategies and support informed investment decisions by addressing the time-varying nature of Bitcoin’s volatility. The research explores the persistence of volatility shocks and the clustering of price movements to provide insights into market dynamics.
Methodology- This research examines daily Bitcoin closing prices over the period from January 2020 to October 2024. The data was preprocessed to ensure reliability, including applying logarithmic transformations to standardize the data and eliminate trends. Stationarity tests, such as the Augmented Dickey-Fuller (ADF), Phillips-Perron (PP), and KPSS tests, were conducted to confirm the series' stationarity. The ARCH-LM test was utilized to detect volatility clustering which is essential for validating the use of ARCH and GARCH models. Following this, ARIMA models were employed to define mean equations and GARCH models were used to estimate conditional variance and capture volatility dynamics. The dataset was split into training and validation subsets with data from July to October 2024 reserved for validation.
Findings- The findings demonstrate that Bitcoin’s price movements exhibit significant volatility clustering and persistence of shocks which are key characteristics effectively captured by ARCH and GARCH models. These models provide valuable insights into the volatility patterns of Bitcoin, supporting their application in cryptocurrency analysis. Despite their robustness, the models face limitations in precise return forecasting during highly volatile periods, suggesting the need for further refinement or integration with advanced approaches.
Conclusion- The research concludes that ARCH and GARCH models are effective tools for understanding and forecasting Bitcoin’s volatility. The study underscores the importance of acknowledging volatility persistence and clustering effects when analyzing cryptocurrency price behavior. However, it also highlights areas for improvement in econometric modelling by including the exploration of hybrid models and the integration of macroeconomic factors to enhance forecasting accuracy.

Keywords: Bitcoin, ARCH models, GARCH Models, forecasting, ARIMA models
JEL Codes: C58, G10, G12
TWITTER SENTIMENT ANALYSIS FOR OPTIMAL PORTFOLIO CONSTRUCTION
Authors: Kucukaslan Burak , Tas Oktay
Published: January 2025

Purpose- This research investigates the efficacy of social media sentiment analysis in constructing alpha-generating investment portfolios. Specifically, the study examines whether Twitter-derived sentiment indicators can be leveraged to develop systematic trading strategies that generate risk-adjusted returns exceeding benchmark performance. The research aims to establish quantitative criteria for position initiation and termination based on sentiment metrics, with the ultimate objective of creating a portfolio that demonstrates significant outperformance relative to the reference index.
Methodology – The study encompasses 16 companies of the Nasdaq 100 index, selected to represent diverse market sectors while controlling for liquidity and market impact considerations. The dataset comprises 708,080 Twitter posts pertaining to the selected companies throughout the 2022 calendar year, extracted via programmatic data collection methodologies. Sentiment quantification was performed utilizing the Natural Language Toolkit (NLTK) in Python, generating normalized sentiment scores within a [-1, +1] interval. The investigation employed a sophisticated aggregation methodology to compute both daily and weekly sentiment indicators for each security, deliberately excluding neutral sentiment scores (0) to enhance signal clarity. A systematic portfolio construction framework was implemented, whereby securities were hierarchically ranked based on their aggregate sentiment scores on a weekly basis. Multiple portfolio permutations were tested, incorporating various combinations of long positions in top-ranked securities and short positions in bottom-ranked securities. Position entry and exit prices were determined using weekly opening and closing prices, respectively. Portfolio performance was evaluated through the calculation of weekly returns and cumulative performance metrics over the observation period.
Findings- The empirical results reveal that portfolios constructed exclusively with short positions demonstrated superior cumulative returns compared to long-only portfolios. This observation can be contextualized within the broader market environment, specifically the Nasdaq 100's negative 33% return in 2022. The research identified statistically significant outperformance in portfolios implementing a combined long-short strategy, with these portfolios generating positive absolute returns despite the challenging market conditions.
Conclusion- The empirical evidence substantiates the hypothesis that Twitter sentiment analysis can be effectively utilized as a signal generation mechanism for systematic portfolio construction. The results demonstrate statistically significant alpha generation capabilities, particularly when implementing a long-short strategy, suggesting potential applications for institutional investors and quantitative fund managers.

Keywords: Twitter sentiment analysis, algorithmic portfolio construction, market efficiency, natural language processing, behavioral finance
JEL Codes: H30, H60, H62
ANALYSIS OF THE IMPACTS OF CLIMATE POLICY AND ENERGY UNCERTAINTIES ON THE STOCK EXCHANGE: THE CASE OF TURKIYE AND AMERICA
Authors: Ilgin Kubra Saka
Published: January 2025

Purpose- It can be stated that global uncertainty indices, which were developed to measure the effects of global uncertainties on markets and the economy, may have the potential to affect risk perception and investment strategies in the markets. Determining the direction and intensity of the impact of uncertainty and risks on stock markets has become very important for stock market investors under these conditions. This paper aims to comparatively examine how the Climate Policy Uncertainty Index (CPUI) and Energy Uncertainty Index (EUI), which are relatively newer than global uncertainty indices and have been the subject of fewer studies, affect stock prices in Borsa Istanbul 100 (BIST100) and Standard&Poors 500 (S&P500) stock exchanges, in a developing and developed country stock exchange.
Methodology- The short and long-term relationships between global uncertainty indices and stock prices were investigated using the ARDL (Distributed Autoregressive Lag) Bounds Test. ARDL is an approach that has several advantages over classical cointegration methods.
Findings- It was determined that CPUI and EUI significantly affected the S&P500 index both in the short and long term, positively and negatively, respectively. For BIST100, this effect was negative but statistically insignificant for both indices in the long-term.
Conclusion- This paper has highlighted the impact of climate policy and energy uncertainty indices on stock prices, especially in developed countries. In this context, the study emphasizes that investors and policymakers in these countries, especially those considering investing in developed countries, should consider these uncertainty indices and closely monitor them to reduce risks in their risk assessments and optimize their investment strategies. The paper contributes to the existing literature by improving the understanding of how climate policy uncertainty affects financial markets in developed and developing economies. The findings suggest that investors and policymakers should consider different effects when assessing the financial impacts of climate policy and energy uncertainty. Future research could investigate how firms respond to such uncertainties and the financial impacts of corporate strategies at the sectoral level.

Keywords: Uncertainty, climate policy uncertainty, energy uncertainty, stock exchange
JEL Codes: C32, G01,G11
MEASURING THE SENSITIVITY OF DIFFERENT MONTE CARLO MODELS IN FORECASTING AIRLINE STOCK PRICES
Authors: Olcen Olcay
Published: January 2025

Purpose- Monte Carlo Models are widely utilised by scientific research in a variety. Two research models are argued and designed regarding the Quasi and Pseudo Monte Carlo models in this paper.
Methodology- The main research questions are formed here as “Which Monte Carlo model can give more effective results to USA Airline investors?”. There is a utilisation problem of Monte Carlo Models by investors. The research also will help to fill this gap. On the other hand, Sobol and Halton sequences are utilized to develop Quasi Monte Carlo Model.
Findings- Quasi-Monte Carlo Models are given more real results than Pseudo Monte Carlo Models, especially in high number (5000) iterations. The results are specifically important for investors. The main disadvantage of the research is a random timespan that is out of a crisis or special event.
Conclusion- According to research results of bias (the approximation to reality), the Quasi-Monte Carlo Model gives more efficient results than the Pseudo Monte Carlo Model regarding accuracy and sensitivity. Investors in the American Air Carriers financial market should be aware of this important reality.

Keywords: Monte Carlo models, American Airlines, stock prices
JEL Codes: B26, 018, R11
IMPACTS OF CROSS-BORDER E-COMMERCE ON GROWTH OF TURKISH SMEs
Authors: Orman Irmak , Teker Suat
Published: January 2025

Purpose- Cross-border e-commerce has emerged as a critical enabler for the globalization of small and medium-sized enterprises (SMEs), particularly in the wake of the COVID-19 pandemic. This study explores the transformative impact of digital marketplaces, innovative payment systems, and logistics advancements on the internationalization of Turkish SMEs. Leveraging a mixed-methods approach, the research combines quantitative data analysis with qualitative insights from industry stakeholders. The findings highlight the significant role of platforms such as Amazon and Alibaba in reducing market entry barriers, the importance of secure digital payment systems in fostering trust, and the contribution of logistics innovations to the growth of small-package exports. By aligning with global consumer trends and leveraging digital tools, Turkish SMEs can overcome traditional trade barriers, enhance competitiveness, and access broader markets. The study concludes with strategic recommendations for policymakers and SMEs, emphasizing the need for regulatory support and investment in digital infrastructure to maximize the benefits of cross-border e-commerce.
Methodology- The study was carried with a mixed-methods approach. Quantitative Analysis: Data from the Turkish Statistical Institute, Turkish Exporters Assembly (TİM), and global e-commerce platforms were analyzed to track export trends, marketplace performance, and consumer behavior. Qualitative Insights: Interviews with SME owners, e-commerce experts, and policymakers provided in-depth perspectives on challenges and opportunities. And as case studies, Successful Turkish SMEs from sectors like textiles and food were examined to identify strategies for internationalization.
Findings- The COVID-19 pandemic has significantly accelerated e-commerce adoption in Turkey, leading to substantial growth in online spending and reshaping various sectors of the economy. Below are some of the main findings; platform Impact, global marketplaces significantly increase SME visibility and reduce market entry barriers; digital payment systems, enable secure, efficient transactions, fostering trust among international customers; small package exports, innovations in logistics, such as faster shipping, have fueled SME participation in global trade; post-Covid consumer behavior, the pandemic accelerated global e-commerce adoption, creating new opportunities for Turkish SMEs.
Conclusion- Cross-border e-commerce represents a transformative opportunity for Turkish SMEs, enabling them to overcome traditional barriers and compete effectively in global markets. By leveraging digital platforms, payment innovations, and logistics advancements, SMEs can drive growth, internationalization, and competitiveness. Strategic support from policymakers will be crucial in maximizing the potential of this digital trade revolution.

Keywords: E-commerce, marketplaces, international trade, digital payment systems
JEL Codes: F23, L26, L81, O31
DESIGN AND DEVELOPMENT OF SMART POS SYSTEMS: COMMISSION OPTIMIZATION AND TRANSACTION EFFICIENCY
Authors: Al Begum , Sezgen Gamze
Published: January 2025

Purpose- Traditional POS systems often lead to high transaction costs, increased error rates, and insufficient customer satisfaction. To address these limitations, smart POS systems have been developed to optimize transaction processes using advanced routing algorithms. This study aims to examine the impact of smart POS systems on transaction efficiency, customer satisfaction, commission cost reduction, and their influence on employee task allocation towards more strategic and value-added roles through intelligent routing and data-driven decision mechanisms.
Methodology- Dynamic routing mechanisms were utilized for commission cost optimization. Big data analytics tools, including Apache Spark and HDFS, were applied to process real-time transaction data, ensuring scalable and adaptive solutions.
Findings- The findings indicate that smart POS systems significantly reduce commission costs, lower transaction error rates, and improve operational efficiency. Additionally, integrating customer behavior prediction models with intelligent routing strategies enhances customer satisfaction and financial performance. The results further suggest that automation and data-driven approaches reduce manual interventions in transaction processes, enabling employees to allocate more time to strategic roles and value-added tasks. This shift contributes to organizational adaptability and innovation.
Conclusion- This study highlights the contributions of smart POS systems to the fintech sector by addressing gaps in transaction efficiency, commission cost management, and customer satisfaction. The findings demonstrate that data-driven decision-making and dynamic routing mechanisms not only optimize transaction processes but also positively impact customer experiences, financial outcomes, and employee engagement in strategic tasks.

Keywords: Smart POS systems, transaction efficiency, commission cost optimization, customer behavior prediction, big data analytics
JEL Codes: D53, G21, L86
A COMPARATIVE EXPERIMENTAL STUDY ON ARTIFICIAL INTELLIGENCE- AND HUMAN-DRIVEN SOCIAL MEDIA MARKETING CAMPAIGNS
Authors: Klein Muge , Kutlar Ahmet Fatih
Published: January 2025

Purpose- The rapid advancement in digital marketing, driven by technologies such as artificial intelligence (AI), forms the backdrop for this research. This study aims to investigate the performance differences between AI-driven and human-managed digital marketing campaigns by means of a true field experiment. Selected Key Performance Indicators (KPIs) are evaluated on the Meta platform to make a statement regarding the performance.
Methodology- The study has an experimantal research method. Two concurrent marketing campaigns for the Paul Kenzie brand were conducted over a two-week period: one fully created by ChatGPT-4 and the other by a human expert. Key KPIs measured include Click-Through Rate (CTR), number of conversions, conversion rate, and Return on Advertising Spend (ROAS).
Findings- The results indicate that AI-driven campaigns outperform human-managed campaigns in terms of CTR, conversion rate, and ROAS, suggesting higher efficiency and effectiveness in reaching and engaging the target audience.
Conclusion- The findings highlight the potential of integrating AI technologies with human creativity to optimize digital marketing strategies.

Keywords: Artificial ıntelligence, social media marketing, digital marketing, field experiment
JEL Codes: M15, M31, Q55
METAVERSE AND CHATGPT: INNOVATIVE LEARNING EXPERIENCES IN EDUCATION AND INTERACTIVE STRATEGIES IN MARKETING
Authors: Nalbant Kemal Gokhan , Aydin Sevgi
Published: January 2025

Purpose- This study investigates the potential of ChatGPT and the metaverse as transformative digital technologies, with a focus on their applications and benefits within education and marketing sectors. It aims to understand how ChatGPT, as an AI language model, can enhance interactivity in virtual environments, particularly within the metaverse.
Methodology- The research involves an in-depth literature review on digital technologies driving the metaverse, specifically examining ChatGPT's integration and its impact on user engagement in virtual spaces. The study also reviews current applications and explores potential roles for ChatGPT in marketing, branding, and educational contexts within the metaverse.
Findings- Results indicate that ChatGPT can significantly enhance user interaction in the metaverse by enabling more personalized, responsive virtual assistants. In education and marketing, this integration facilitates immersive experiences, providing tailored support, information, and engagement opportunities in a virtual format.
Conclusion- The combined application of ChatGPT and the metaverse holds significant promise, presenting opportunities for enhanced digital interaction and personalized experiences across industries. However, limitations such as technological constraints and privacy concerns require ongoing attention to maximize these benefits effectively.

Keywords: ChatGPT, metaverse, artificial intelligence, digital marketing, mathematics.
JEL Codes: M30, M31, Q30
MULTI-CRITERIA DECISION-MAKING METHODS (MCDM): A BIBLIOMETRIC ANALYSIS (1974-2024)
Authors: Kaya Neylan
Published: January 2025

Purpose- Multi-criteria decision-making (MCDM) is considered a complex decision-making (DM) tool that integrates both quantitative and qualitative factors.In recent years, various MCDM techniques and approaches have been proposed to select the best possible alternative. The overall aim of this study was to identify the tendencies and trends of the discipline over the past 50 years by conducting a bibliometric analysis of 10,387 studies published between 1974 and 2024 in the realm of multi-criteria decision-making methods (MCDM).
Methodology- In this regard, the Web of Science Core Collection database was utilized to retrieve articles related to “Multiple criteria decision-making”, from which bibliometric data were extracted and analyzed. These studies were analyzed within the context of the number of publications by year, types of publications, language of publications, citation analysis, cooperation among countries, common citation networks and concept-topic orientations
Findings- The analysis unveiled a rapid increase in the number of publications after 2012, with studies predominantly taking the form of articles and being published in English. Besides, engineering emerged as the field with the highest number of publications, with the Analytical Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) being the most frequently used concepts. Zavadskas was identified as the author with the most publications and most cited on the subject. The journal with the highest number of citations was European Journal of Operational Research. Furthermore, the USA and China play a pivotal role in cooperation between countries.
Conclusion- This study is expected to make a valuable contribution to the relevant field as a determinant of some of the most effective researches, including influential journals, articles and authors in MCDM. Moreover, it may serve as a guide for researchers in terms of documenting the common tendencies in the field of MCDM

Keywords: Decison, decision making, multi-criteria decision making, bibliometric analysis, network analysis
JEL Codes: C00, C02, C60
UTILIZING TEXT MINING TO EXTRACT KNOWLEDGE AND CLASSIFY INFORMATION IN INDUSTRIAL ENGINEERING
Authors: Bidollahkhany Fereidoon , Basiri Mehdi
Published: January 2025

Purpose- In the modern information age, organizations face an overwhelming amount of textual data from various sources. The true potential of this data is realized when transformed into actionable knowledge. This study aims to create a text-based model for information classification and knowledge extraction in industrial engineering.
Methodology- The research follows a descriptive-survey approach, employing text-mining techniques to analyze a comprehensive dataset of scientific research articles from the Science Direct database between 2015 and 2020. Data preprocessing was performed using Excel, while analysis was conducted with MATLAB software. The proposed model employs the nearest neighbor and support vector machine algorithms for robust text classification and knowledge extraction.
Findings- The study demonstrates the model's effectiveness in systematically extracting valuable knowledge from diverse textual sources. It shows that this approach can facilitate information extraction without compromising data integrity, thereby contributing to knowledge management practices in industrial engineering.
Conclusion- The text-based model developed in this study provides a reliable method for extracting knowledge from extensive textual datasets. The approach can be applied to other fields beyond industrial engineering, indicating its broader relevance and utility in the contemporary information age.

Keywords: Text mining, knowledge extraction, industrial engineering, data preprocessing, support vector machines.
JEL Codes: C55, L23, O32
THE CONTENT ANALYSIS OF THE COMPANY VALUATION REPORTS IN TURKIYE
Authors: Ozturk Selahattin Cagatay , Sayilgan Guven
Published: January 2025

Purpose- This study marks a pioneering effort in researching the scope of valuation reports prepared before initial public offerings in Türkiye. There is a scarcity of literature on the extent of analyst reports in the international arena. The primary objective is to address this significant gap in the existing body of literature. It serves as a valuable resource for academic researchers while also offering highly beneficial insights for brokerage firms and investors. Furthermore, the study has yielded crucial findings relating to regulatory authority regulations and the advancement of capital markets.
Methodology- A total of 116 valuation reports prepared prior to 116 initial public offerings in Türkiye from 2013 to 2021 underwent manual text analysis. A Yes/No algorithm was used to calculate scores for 97 variables under the sections CP, CCI, CFA, CSA, and CVA. The cumulative score across all sections represented the VRCI.
Findings- The average IPO valuation report covers 31 out of 97 variables. The CP indicator has consistently increased, particularly after 2019. The average scores generated from the CCI indicator in valuation reports are relatively low. The CSA indicator scores are notably low. The score for the CVA 1 indicator is also low. The average score of the CVA 3 varies each year, while the CVA 4 indicator shows an increase after 2018.
Conclusion- The valuation reports have significant deficiencies in terms of content. The findings indicate that brokerage firms should mitigate information asymmetry by furnishing comprehensive information in valuation reports. The evidence suggests a need for further development in the capital markets. Despite adherence to international valuation standards and widely accepted valuation principles, the limited coverage in valuation reports contributes to investor information asymmetry.

Keywords: Initial public offerings, valuation, valuation report, content analysis
JEL Codes: G14, G24, G28
Alcance da eficiência energética em restauro de edificações históricas com a utilização de placas fotovoltaicas
Authors: Barroso Paula Rodrigues , Neves Liziê Froeder , Oliveira Maysa Jéssica Guedes de , Oliveira Nathane Durso de , Casagrande Cristiano Gomes
Published: January 2025

In the contemporary Brazilian scenario, there is a progressive increase in interest in the application of photovoltaic systems in historic buildings in order to enable energy self-sufficiency. This interest is largely due to the growing environmental awareness and the search for renewable and sustainable energy sources. However, installing solar panels on historic buildings presents unique challenges, considering the need to preserve the architectural and aesthetic integrity of these structures. Such an approach requires a careful analysis, involving multidisciplinary professionals, to ensure harmony between energy efficiency and the conservation of historical heritage. As technological advances and regulatory adaptations develop, the prospect of achieving energy self-sufficiency in historic buildings in Brazil becomes progressively more feasible, thus contributing to promoting sustainability and safeguarding our valuable cultural legacy. The general objective of this article is to identify the difficulties and potential of using photovoltaic panels in historic buildings, with the aim of achieving energy self-sufficiency. The methodology used was a literature review on the subject and a case study of three Brazilian municipalities. It is concluded that achieving efficiency in historic buildings is economically viable, resulting in long-term savings and environmental benefits. In addition, it is suggested to carry out future studies of energy efficiency in listed buildings, considering energy retrofit, solar panels and purchase of energy credits
Análise das iniciativas de ciclomobilidade no programa de metas 2021-2024 do município de São Paulo
Authors: Silva Luciana Aparecida Ferreira da , Gallardo Amarilis Lucia Casteli Figueiredo
Published: January 2025

Cycle mobility initiatives promoted by public management policies have generated debates about their effectiveness. This descriptive-exploratory work with a quantitative and qualitative approach has the main objective of evaluating compliance with the policies of the municipal management of the city of São Paulo for cycle mobility, based on the agreements of the 2021-2024 Target Program. Thus, it aims to contribute to academic production connected to the discussion and solution of contemporary problems of life in cities. The results reveal delays in the execution of agreed policies and great inequality in their implementation. The work points to the need to consider equity as a guiding element for the effectiveness of cyclomobility policies in their contribution to sustainable development in the São Paulo metropolis.
Pseudo-Archytas on Time’s Existence: Aristotle and Neopythagorean Thought
Authors: Trostyanskiy Sergey
Published: January 2025

This article aims to explain the reception and reassessment of Aristotle’s philosophy of time during the first century BCE by Pseudo-Archytas, a thinker who exercised great influence over and laid the groundwork for Neopythagorean and Neoplatonist philosophies of nature. The article scrutinizes Pseudo-Archytas’ theory by examining his solution to the paradox of time’s existence. Through a comparative analysis of Aristotle’s and Pseudo-Archytas’ discourse, it seeks to demonstrate that their theories, despite apparent similarities (associated with their overall approach to the subject matter, the terms utilized in discourse, etc.), exhibit different philosophical underpinnings and are in many ways antithetical.
The Text of Physics VIII 1.250b13 as a Case Study
Authors: Fazzo Silvia
Published: January 2025

The contribution is a follow-up to my textual note in Aristotelica 3 (2023) on Physics VIII 1.250b1. What is at issue is a previously neglected lectio difficilior concerning cosmic motion, i.e., εἰ ἦν καὶ ἀεὶ ἔσται, “if it was [always] there, it will also always be”, vs. ἀεὶ ἦν καὶ ἀεὶ ἔσται, “it was there always and it will always be”. The theoretical relevance of the reading emerged more clearly in the subsequent debate: it may imply a hypothetical foundation of Aristotle’s theory of the eternity of cosmic motion, hence, of the cosmos itself, and hence, of its first unmoved principle. The question is: how can this case study contribute to the evolving research field of Aristotelian textual criticism? I will provide a more comprehensive answer in ‘Aristotle’s Earliest Extant Manuscripts. New Doubts and Perspectives’ forthcoming in Aristotelica 6.
Systematic Method for Identifying Kinematic Sperm Subpopulations v1
Authors: Rivas Arzaluz Cindy , Aragón Martínez Andrés
Published: January 2025

The identification of kinematic sperm subpopulations typically relies on motility parameter values obtained using a Computer-Assisted Sperm Analysis (CASA) system. These parameters are calculated individually for each sperm cell. The number of motility parameters provided depends on the specific CASA system manufacturer. However, commonly evaluated parameters include curvilinear velocity (VCL), average path velocity (VAP), straight-line velocity (VSL), linearity (LIN), straightness (STR), beat cross-frequency (BCF), wobble (WOB), and amplitude of lateral head displacement (ALH). Various statistical approaches utilize the motility parameter values generated by a CASA system to identify kinematic sperm subpopulations (Martínez-Pastor et al., 2011; Ramón and Martínez-Pastor, 2018). This identification process is typically carried out in two stages. In the first stage, the dataset’s dimensionality is reduced using principal component analysis (PCA). In PCA, components with eigenvalues greater than 1 are retained. In the second stage, these principal components are used as input for clustering algorithms, such as K-means or hierarchical agglomerative clustering. When employing hierarchical agglomerative clustering, the objective is to group data points based on their proximity to one another while maximizing the separation between groups. This is typically achieved using various distance metrics, with Euclidean distance being the most commonly applied. Selecting the appropriate number of clusters is critical and often involves the use of an objective criterion, such as inertia gain. Graphical analysis of inertia gain can be particularly helpful in this context. In this document, we present the strategy and procedure for identifying kinematic sperm subpopulations in boar sperm data subjected to different pH conditions (Rivas et al., 2022). The proposed workflow enables the processing of motility parameter datasets obtained via a CASA system to identify kinematic subpopulations in two systematic steps. The final output is a dataset containing the original input data alongside an additional column indicating the cluster assignment for each data point. This resulting dataset facilitates the determination of the proportion of sperm within each subpopulation and allows for assessing the effects of different treatments on these subpopulations.
[RETRACTED] Rodent Facility Environmental Summary v1
Authors: Dukes Debra , Elmore Michael
Published: January 2025

[RETRACTED]

Mice (Mus Musculus) are the most common research organisms used in biomedical research. We have housed and maintained a variety of strains at the Stowers Institute for Medical Research since 2000.Our environment and housing parameters provide a standardized guideline for our staff to follow.This information assures the protection of our research using the rodent model, with proper use of housing, nutrition, maintenance, and environmental enrichments for the healthiest rodent specimensfor our research. The provided guideline is currently being used at the Stowers Institute in 2023.
Pipetting v2
Authors: Sjogren Carly , Carlos Goller Carlos
Published: January 2025

Overview and Goals Lab micropipettes allow us to transfer small volumes of liquids accurately. Units to measure small volumes with micropipettes are microliter (µL) and milliliter (mL). There are 1000 µL in 1 mL). Effectively using lab micropipettes is a valuable skill that takes practice! We will work together to learn and improve our pipetting to improve accuracy. Learning Objectives After completing this lab, you will gain the following lab skills: Lab safety and proper personal protective equipment (PPE) Pipetting with micropipettes
Las mujeres-músicas de la peña "Chile ríe y canta", una propuesta educativa para visibilizar su participación musical
Authors: Contreras Segovia Carola
Published: January 2025

The study that we present below aims to “Develop an educational proposal from women-musicians and collaborators to make visible their participation during the last decade of the Peña Chile Ríe y Canta”, the data obtained through interviews that were subsequently analyzed through matrices until reaching conclusions.
 With the dialogic production it was possible to reach the first outline of the proposal, where the Women of the Peña CHRC stand out, the Peña As a social device and socio-political construction, all of these through the development of related projects. At the end of this study, a proposal is presented with pedagogical material, some files to create biographies of the women-musicians, links to videos of all of them and a project format to facilitate the approach and make visible the protagonists in this part of our history.
Efectos de la ludoterapia en niños hospitalizados
Authors: Martínez de la Hidalga Rodríguez Elena , Ranilla Rodriguez Miguel
Published: January 2025

Abstract
Introduction: Play allows children to discover, experience, learn and face challenging situations such as those encountered in a children's hospitalization. Play improves the child's hospital stay and, therefore, increases the quality of care perceived by the child. Objective: To carry out a comparative review of studies on play, play activities and their benefit in the pediatric hospital setting. Materials and Method: An exhaustive literature review was performed on existing publications between 2016 and August 2022 in different databases (PSYCINFO, CINHAL, MEDLINE, PUBMED and SCIELO), combining keywords with Boolean AND and OR operators. A total of 40 articles were obtained for this review. Results: The review reveals the importance of play for child development in hospital settings. Benefits such as reduced anxiety and improved communication are discussed. Technological advances and alternative therapies are also addressed. Discussion: The studies agree with each other, emphasizing the importance of play in coping with stressful aspects of hospitalization. The relevance of recreational strategies, such as the use of toys and participation in activities to improve children's hospital experience is highlighted. Conclusions: The need to integrate play strategies into pediatric care is highlighted. The crucial role of nursing is highlighted and actions are proposed to overcome challenges, urging to translate this knowledge into practical interventions and concrete policies to improve the experience and well-being of hospitalized children.
Key words: Play therapy, hospitalized child, pediatrics, Patient comfort.
Narrativas de lo cotidiano en la residencia de mayores. Una investigación para mejorar la calidad de vida de las personas mayores
Authors: Balbín Castilo María Antonia
Published: January 2025

This work is approached from a self-narrative perspective, based on my own experience as director of a nursing home and the life stories shared with a group of people in the twilight of their lives. The evolution of society has allowed for a longer life expectancy, so older people, especially those living in nursing homes, must have the options and tools necessary to enjoy a dignified and full life. In this sense, the implementation of artistic practices in the field of nursing homes is a challenge that, since my participation as director of the center, I assumed under an a/r/tographic approach. This article shows the processes and mechanisms developed for such purposes, and incorporates reflections focused on self-narrative research as a way to improve the quality of life of older people.
Niñas que jugaron en las calles ¿mujeres confiadas? La paradoja cubana
Authors: Hernandez Ramírez Giselda E.
Published: January 2025

The article addresses the possible relationships berween the construction of trust and street games. For this purpose, an interview was appilied to a group of women living in Spain, the US, México and Cuba. Games in the streets were also observed and documented in Havana and Villa Clara.