bluuebunny/crossref_metadata_2025 huggingface dataset:
CASE-BASED REASONING UNTUK MENDIAGNOSA PENYAKIT KULIT AKIBAT INFEKSI VIRUS DAN BAKTERI MENGGUNAKAN METODE EUCLIDEAN DISTANCE
Authors: Arundaa Rillya , Manurung Tohap , A. H. Komalig Hanny , Ketaren Eliasta
Published: February 2025

Kulit merupakan organ penting yang berfungsi menerima rangsangan dari luar. Menurut Data Profil Kesehatan Indonesia 2024, penyakit kulit menduduki peringkat ketiga dari sepuluh penyakit terbanyak pada pasien rawat jalan. Keterbatasan jumlah dokter spesialis kulit mengakibatkan lambatnya penanganan, sehingga diperlukan alat bantu diagnosis. Penelitian ini mengembangkan sistem Case-Based Reasoning (CBR) untuk diagnosis penyakit kulit akibat infeksi virus dan bakteri. Sistem ini bekerja dengan membandingkan gejala baru dengan kasus lama yang serupa menggunakan metode Euclidean distance untuk perhitungan jarak kedekatan. Hasil diagnosis sistem kemudian memberikan solusi pengobatan yang sesuai. Pengujian terhadap hasil diagnosis pakar menunjukkan bahwa sistem ini memiliki akurasi sebesar 90%, sehingga dapat membantu mempercepat diagnosis dan penanganan pasien penyakit kulit.
Ideologiile memoriei în comunism și postcomunism
Authors: Iovănel Mihai
Published: February 2025

The thesis of this article is that the communist regime sets up a system for the politics of memory that post-communism takes over as such after 1989, only in reverse, changing the sign of the values. Where communism affirms, post-communism denies. However, the often-contradictory status of the relationship between the theory and practice of communism leads to a number of anomalies in post-communist anti-communist ideology, which are still active today.
Tranziția postcomunistă ca traumă socială: reprezentări și (de)codificări în poezia anilor 2000
Authors: Mironescu Doris
Published: February 2025

In this article I read the postsocialist transition in the frame of several theories of social trauma (Piotr Sztompka, Andreas Hamburger), by focusing particularly on Romanian poetry published during the 2000s. Leaving aside the psychoanalytical definitions of trauma that had at their core the (i)representability of trauma, starting with the new millennium and, more prominently, in the last decade, trauma studies took a social turn, focusing on traumatized ethnic and social groups. In Romania, the social trauma of the postcommunist transition was addressed foremost in poetry by a new generation of poets who reacted to the economic, social and political disarray of the 2000s. I argue that the concept of social trauma applied to millennial poetry has the advantage of explaining the option of the earlier poets of the 2000s for a poetics of violence, suffering and , beyond the canonical games within the literary field.
Estetica deteritorializantă a acceleraționismului nouăzecist: Nick Land între Kant și Deleuze
Authors: Țapu Mihai
Published: February 2025

This article discusses some of the earliest accelerationist texts of British philosopher Nick Land, focusing on their attempts to overcome a tradition of post-Kantian continental philosophy by appropriating concepts from Deleuze&Guattari’s theories. In doing so, I distinguish between a number of Landian texts in which the notion of the Kantian sublime is turned against its initial conceptualization by the German philosopher and some texts which corroborate different Deleuzo-Guattarian concepts, such as “deterritorialization” and the “body-without-organs”. The disavowal of Kantian transcendental idealism is linked, within Land’s texts, with a turn towards a cybernetic reading of Deleuze&Guattari’s concepts, which leads to one of the most popular accelerationist concepts, that of “capitalism as artificial intelligence”.
Les réseaux sémantiques dans les dossiers génétiques ernaliens : Journal du dehors
Authors: Cora Iringo
Published: February 2025

The discovery of archived written traces/documents which provide proof of the moment of the birth of a literary text is an enterprise which resembles an exercise of reading and therefore of making an analysis backwards, from the published text to the manuscript. Our analysis, through its approach, stands out and brings a new approach to Ernalian creation, while questioning the creative process, this time by relying on the genetic file of the written Journal du dehors. It is the study of creation in progress, which has left priceless material traces in these genetic files, materialized in several folders which include an impressive number of sheets, drafts, scenarios, sketches, versions taken up or redone completely, corrected proofs, photos, typescripts and the final version submitted to the editions for publication. The theoretical framework of our analysis is offered by genetic criticism, but also by the phenomenological and linguistic approach, while developing a system of semantic analysis in relation to the process of establishment of Ernaux’s text, which we will propose, question and conceptualize. Our hypothesis sheds light on the creative process of an evolutionary nature explaining the phenomenon of construction of the text from the first pages of the first folder of the “Avant-text” and up to the typescript through a network of words and expressions, and which form the semantic network of the analysed manuscript. We will show that this system of thinking and constructing the text to come characterizes Ernaux’s instauration/creative work, being present not only in the file we have studied in the present work, but in all the genetic files which constitute the Ernaux collection.
Cercul Literar de la Sibiu: câteva perspective asupra formei tragice
Authors: Varga Dragoș
Published: February 2025

The present article focuses on the only literary Romanian group (Sibiu Literary Circle) that aims to rehabilitate tragedy as a literary genre, combining two important dimensions: the Aristotelian perspective, proposing the resurrection of the genre as such, and the German one, which requires a rather philosophical approach by detaching the concept of the tragic from the sphere of the theatrical performance. The article leans especially on the theories about the tragic of Ștefan Aug. Doinaș, Nicolae Balotă, I. Negoițescu and Radu Stanca, insisting on Radu Stanca’s essay, Tragedy and Its Scenic Modality from a Contemporary Perspective.
Ecouri homerice în Monstrul lui Ismail Kadare
Authors: Ciocârlie Alexandra
Published: February 2025

Kadare’s The Monster, whose plot resembles the abduction of Helen that generated the Trojan War, is placed in Tirana during the years of increasingly deteriorating relations between Albania and the USSR. The monstruous, shapeless wagon abandoned in the fields looks like the Trojan wooden horse into which the invaders, degenerated copies of the ancient Greek warriors, are hidden waiting for an opportunity to enter the town. The modern and the ancient worlds interfere with one another, contemporary scenes reconstructing the main episodes of the conquest of Troy. Both the well-known mythological characters and the ancient events are presented from the perspective of the 20th century suspicious mind. The confrontation is an opportunity to reexamine the events of the antiquity and their representations by Homer, who is seen as the spokesman of the winners and the unreliable messenger of their propaganda.
Assessing Consumer Preferences and Willingness to Pay for Safer Vegetables in Ouagadougou, Burkina Faso
Authors:   Department of Agricultural and Food Economics, Faculty of Agriculture, Food and Consumer Sciences, University for Development Studies, Tamale, Ghana, Shafiwu Adinan Bahahudeen
Published: February 2025

The willingness to pay (WTP) of customers in Ouagadougou, Burkina Faso, for safer vegetables is assessed in this study. A multi-stage selection process was used to choose 350 vegetable consumers (lettuce, tomatoes, and cabbage) from ten districts of Ouagadougou, the capital.While Ordered Probit was used to estimate the determinants of WTP, descriptive statistics were utilized to determine the mean Willingness to Pay (MWTP). The findings showed that the WTP for safer vegetables was extremely high (98.57%). The mean amounts of CFA 322, CFA 400, and CFA 265 for 1.5 kg of cabbage, 1 kg of a bundle of lettuce, and 0.5 kg (500g) of tomatoes, respectively, represented 63.5%, 100%, and 59% increments in the amount that consumers were willing to pay for all three of the chosen vegetables, if they were safer. Younger people, educated people, salaried workers, wealthy people, and health-conscious consumers all showed a strikingly high readiness to pay for safer vegetables.WTP was lower for risk-takers, information-rich people, and people who bought vegetables based on their looks, which was the opposite of what we had assumed. Policy should focus on the former set of consumers. This encourages the business sector in general and farmers in particular to start producing safer vegetables. To increase consumers’ trust in safer vegetables, the government, through the ministry of food and agriculture, is also urged to start the certification process.
Characterisation and Cytotoxic Evaluation of the Compound Obtained from Petroleum Ether Fraction of the Tuber Amorphophallus
Authors:   Sree Narayana Guru College	of Advanced  Studies, Nangiarkulangara,	Alappuzha,	Kerala,	India, M.S Latha , Alex Anju ,   Department of	Chemistry, St.	Gregorios College,	Kottarakara, Kollam, Kerala, India,   Department of	Chemistry, SN	College, Kollam, Kerala, India
Published: February 2025

The usual chemotherapy approach, which employs cytotoxic drugs for cancer treatment, comes with severe adverse effects, plant-based natural products have been discovered to possess similar capabilities as synthetic anticancer agents in fighting and preventing certain cancer cell types. These natural products have shown a preference for targeting cancer cells, sparing healthy cells[25]. The present research, which centers on evaluating the cytotoxic activity of the compound derived from the petroleum ether extract of the tuber Amorphophalluspaeoniifolius(Elephant foot yam), known for its potential anticancer effects on HeLa cells (cervical cancer cells)[14] holds great significance. The compound extracted from the petroleum ether column fraction was characterized using theHigh-Performance Liquid Chromatography (HPLC) method. The cytotoxic activity of the isolated compound was studiedbyin vitro experiments on HeLa cellsand normal cells (L929 cells). The cell viability was determined by MTT and apoptosis assays and by means of direct observation with an Inverted Phase Contrast Microscope. The compound showedahalf-maximal inhibitory concentration,IC50 27.61 µg/mL for HeLa cells in the MTT assay, indicating the cytotoxic effect on cancer cells. Furthermore, the compound demonstrated a non-toxic effect on normal cells, as indicated by the observation that the viability percentage of normal cells exposed to the compound was 94.76% at the maximum tested concentration of 100 µg/mL.These findings were further supported by microscopic examination and morphological apoptosis assay. The morphological apoptosis assay, which utilized a double staining acridine orange/ ethidium bromide (AO/EB)method, demonstrated that the compound plays a crucial role in programmed cell death, as evidenced by changes in fluorescence observed in HeLa cells treated with varying concentrations of the compound. The comparative apoptosis study withnormal cells also supports the selective toxicity of the compound toward cancer cells. The role of the compound in apoptosis was further established by its interaction with the apoptosis-inhibiting B-Cell Lymphoma-2 protein (PDB ID: 2W3L), which was screened using the docking procedure with AutoDockVina.
Hydrangea Cultivation: Advances in Propagation, Soil Management, and Disease Control
Authors:   Sher-e-Kashmir University of Agricultural Sciences and Technology, 180009 (J&K), India, Thakur Rupali , Thakur Rajesh ,   Dr Yashwant Singh Parmar University of Horticulture and Forestry, Solan, 173230 (H.P.), India, Chandermohan Choudhary Nandini ,   Dr Yashwant Singh Parmar University of Horticulture and Forestry, Solan, 173230 (H.P.), India, Kanwar Babita ,   Dr Yashwant Singh Parmar University of Horticulture and Forestry, Solan, 173230 (H.P.), India, Sharma Sourav ,   Sher-e-Kashmir University of Agricultural Sciences and Technology, 180009 (J&K), India
Published: February 2025

Hydrangeas, prized for their showy blooms, encompass diverse shrubs, small trees, and climbers within the Saxifragaceae family. This review comprehensively examines various aspects of hydrangea cultivation, focusing primarily on Hydrangea macrophylla. Originating from temperate regions of eastern Asia, eastern North America, and South America, hydrangeas are popular globally, especially as potted plants during festive seasons. Their large flower heads exhibit a range of colors influenced by soil pH, particularly in Hydrangea macrophylla, where aluminum availability in acidic soils (pH 4.5-5.5) results in blue hues, while higher pH (6.0-7.0) produces pink flowers. The review details optimal climatic conditions, including semi-shade and cool, moist temperatures, with specific temperature requirements for flower initiation and bud development. Soil preferences, propagation methods (seeds, cuttings, layering, and micropropagation), planting guidelines, fertilization strategies (including the impact of NPK ratios and slow-release fertilizers), and pest and disease management are discussed. The importance of cultural control methods, such as proper cultivation, fertilization, irrigation, and sanitation in minimizing disease incidence is emphasized. Common diseases like anthracnose, leaf spot, powdery mildew, bacterial wilt, bud blight, and Botrytis infection are described, along with appropriate control measures. The review concludes by highlighting the importance of understanding these factors for successful hydrangea cultivation and production.
CORRUPTION AS A SOCIAL PHENOMENON IN THE CONTEXT OF GLOBAL CHALLENGES
Authors:   Shota Rustaveli State University, Batumi, Bauchadze Besik , Datsenko Viktoriia ,   University Customs and Finance, Shevchenko Valentyna ,   Alfred Nobel University
Published: February 2025

The effective fight against corruption should be based on understanding how and
why corruption occurs in a particular area and in developing specific mechanisms that could
reduce corruption risks in this area. The purpose of this article is a comprehensive analysis of the
problem of corruption, and the definition and analysis of anti-corruption policies in the countries of
Eastern Europe, on the example of Poland. The main study methods were surveys of social groups
and focus group tools. At the first stage, survey of entrepreneurs (400 people) and interviews (1800
people) were carried out. At the second stage focus groups in 5 cities of Poland were conducted.
According to the results of the study, the necessity of continuous modernization of the tools of anti-
corruption policy of the state and their supplementation with new elements, adoption of ethical
codes of conduct of officials (both at the state level and at the level of a certain institution), conduct
of anti-corruption educational activities, etc. was substantiated In conclusion, corruption is a
systemic problem that needs to be addressed systematically, requires ensuring information
openness and effective media work (uncensored coverage), changing perceptions and attitudes
towards corruption at the cultural level.
Blockchain technology and real-time auditing: Transforming financial transparency and fraud detection in the Fintech industry
Authors: Eseoghene Kokogho  , Obianuju Clement Onwuzulike  , Bamidele Michael Omowole  , Chikezie Paul-Mikki Ewim  , Mary Oyenike Adeyanju
Published: February 2025

Blockchain technology has emerged as a transformative tool in the fintech industry, offering unprecedented opportunities to enhance real-time auditing processes, financial transparency, and fraud detection. This study explores how the integration of blockchain with advanced analytics can revolutionize traditional auditing practices, addressing critical challenges such as data tampering, inefficiencies, and lack of transparency. By leveraging blockchain’s immutable ledger and decentralized architecture, real-time auditing becomes more accurate, secure, and efficient, enabling continuous monitoring and verification of transactions. Advanced analytics, when combined with blockchain, empowers auditors with predictive capabilities, anomaly detection, and actionable insights, ensuring a proactive approach to fraud prevention. The inherent traceability of blockchain allows all transactions to be recorded in a tamper-proof manner, significantly reducing opportunities for fraudulent activities and improving compliance with regulatory standards. Moreover, the integration supports automated reconciliation processes and smart contracts, further streamlining financial operations and minimizing human errors. This paper also highlights the role of blockchain in fostering stakeholder trust through enhanced transparency, as all parties involved in financial ecosystems gain access to real-time, verifiable financial records. Key applications discussed include Know Your Customer (KYC) processes, anti-money laundering (AML) initiatives, and secure cross-border transactions, showcasing how blockchain addresses industry pain points. Despite its transformative potential, challenges such as scalability, integration with legacy systems, and regulatory uncertainties remain. The study discusses strategies for overcoming these hurdles, including collaborative efforts between fintech firms, regulators, and technology providers to establish standards and best practices. In conclusion, integrating blockchain technology with advanced analytics heralds a new era for financial transparency and fraud detection in the fintech sector. By reshaping real-time auditing processes, blockchain not only enhances operational efficiency but also sets a foundation for a more secure and trustworthy financial ecosystem.
Keywords: Blockchain Technology, Real-Time Auditing, Financial Transparency, Fraud Detection, Fintech, Advanced Analytics, Regulatory Compliance, Smart Contracts, Financial Ecosystems, KYC, AML.
Blockchain and Cybersecurity: A dual approach to securing financial transactions in Fintech
Authors: Princess Eloho Odio  , Richard Okon  , Mary Oyenike Adeyanju  , Chikezie Paul-Mikki Ewim  , Obianuju Clement Onwuzulike
Published: February 2025

The rapid growth of the fintech industry has led to an increased reliance on digital financial transactions, which simultaneously presents significant cybersecurity risks. This abstract explores the potential of combining blockchain technology with advanced cybersecurity protocols to create a dual-layered approach to securing financial transactions and protecting customer data in fintech applications. Blockchain, with its decentralized and immutable nature, offers inherent security benefits, making it an ideal foundation for enhancing the integrity of financial transactions. Each transaction recorded on a blockchain is cryptographically secured, ensuring that data cannot be altered retroactively, thus preventing fraud and unauthorized access. However, while blockchain technology provides a robust mechanism for securing transaction data, it is not immune to all forms of cyber threats, particularly those targeting the endpoints or vulnerabilities in smart contracts. Advanced cybersecurity protocols, such as encryption, multi-factor authentication, and intrusion detection systems, complement blockchain’s capabilities by safeguarding the broader fintech ecosystem. These protocols can be used to secure access points, ensure data privacy, and enhance the detection of malicious activities that might bypass blockchain’s security features. The integration of blockchain with cybersecurity measures creates a multi-layered defense system that not only protects transaction integrity but also mitigates risks associated with data breaches, phishing attacks, and insider threats. For example, encryption techniques can ensure that sensitive customer data remains confidential, while blockchain ensures the immutability of transaction records. Furthermore, smart contract security protocols can prevent vulnerabilities in decentralized finance (DeFi) applications from being exploited by malicious actors. By combining these two technologies, fintech companies can significantly enhance the security of financial transactions, improve customer trust, and ensure compliance with regulatory standards. This dual approach strengthens the resilience of fintech platforms against evolving cyber threats and enhances the overall security posture of the industry.
Keywords: Blockchain, Cybersecurity, Fintech, Financial Transactions, Data Integrity, Encryption, Smart Contracts, Decentralized Finance, Multi-Layered Security, Fraud Prevention.
A Cybersecurity framework for fraud detection in financial systems using AI and Microservices
Authors: Eseoghene Kokogho  , Princess Eloho Odio  , Olakojo Yusuff Ogunsola  , Mark Osemedua Nwaozomudoh
Published: February 2025

In this review, we propose a cybersecurity framework aimed at enhancing fraud detection in financial systems by leveraging artificial intelligence (AI), microservices, and RESTful architectures. With the increasing sophistication of cyber threats targeting financial institutions, traditional security methods often fall short in providing comprehensive protection. This review outlines how AI and microservices can be integrated to secure sensitive financial data and improve fraud detection. The framework employs AI-driven models for real-time anomaly detection, enabling systems to quickly identify suspicious activities and predict fraud patterns before they escalate. Microservices architecture, built using technologies such as Java Spring Boot, enables scalability, flexibility, and enhanced communication between modular components through secure RESTful APIs. Angular is utilized for building secure user interfaces, ensuring data protection across front-end applications. Additionally, the integration of security testing platforms such as SonarQube and Blackduck plays a critical role in continuously monitoring and inspecting code for vulnerabilities, ensuring that any flaws in the system are promptly addressed. This comprehensive approach not only safeguards financial institutions from potential fraud but also strengthens the U.S. financial infrastructure, contributing to the nation’s defense against cyber threats. By leveraging cutting-edge technologies and best practices, this framework offers a scalable, secure, and adaptive solution for the evolving challenges in cybersecurity and fraud prevention within the financial sector. The proposed framework enhances operational efficiency while mitigating risks, making it a valuable addition to modern cybersecurity strategies
Keywords: Cybersecurity Framework, Fraud Detection, Financial Systems, Microservices, Artificial intelligence.
Leadership and organizational change in high-risk industries: A model for managing engineering change in oil and gas operations
Authors: Edward Aigbedion  , Olushola Babatunde Ayorinde  , Babatunde Adebisi
Published: February 2025

Leadership and organizational change are critical factors in high-risk industries like oil and gas operations, where safety, efficiency, and sustainability are paramount. This paper presents a comprehensive model for managing engineering change in oil and gas operations, emphasizing leadership strategies, organizational dynamics, and risk management. High-risk industries face unique challenges, including complex project environments, stringent regulatory compliance, and the need to adapt rapidly to technological advancements. Effective leadership plays a vital role in navigating these challenges by fostering a culture of innovation, collaboration, and continuous improvement. The proposed model integrates transformational leadership principles, change management theories, and engineering methodologies to address the multi-dimensional aspects of engineering change. It highlights the importance of clear communication, stakeholder engagement, and team empowerment in driving successful change initiatives. Additionally, it emphasizes the integration of advanced data analytics and decision-making tools to mitigate risks and enhance operational performance. The study draws on empirical research, case studies, and industry best practices to provide actionable insights for leaders and organizations in high-risk industries. Key findings indicate that leaders who exhibit adaptability, resilience, and technical competence can better manage the complexities of engineering change. Moreover, organizations that adopt a proactive approach to change management, incorporating predictive analytics and risk assessment frameworks, are more likely to achieve sustainable outcomes. This model also considers the human factor, addressing resistance to change and the need for continuous training and development to build a skilled workforce. By aligning leadership practices with organizational objectives and engineering requirements, the proposed framework offers a roadmap for managing change in a structured and efficient manner. The paper concludes with recommendations for implementing the model, including fostering a culture of safety and innovation, leveraging technology for decision support, and enhancing cross-functional collaboration. This work contributes to the growing body of knowledge on leadership and organizational change in high-risk industries and provides a practical guide for managing engineering change in oil and gas operations.
Keywords: Leadership, Organizational Change, Engineering Change, High-Risk Industries, Oil and Gas Operations, Change Management, Risk Mitigation, Transformational Leadership, Data Analytics, Safety Culture.
Leveraging machine learning for environmental policy innovation: Advances in Data Analytics to address urban and ecological challenges
Authors: Amazing Hope Ekeh  , Charles Elachi Apeh  , Chinekwu Somtochukwu Odionu  , Blessing Austin-Gabriel
Published: February 2025

The intersection of machine learning and environmental policy offers transformative potential in addressing pressing urban and ecological challenges such as climate change, pollution, and sustainable development. This study examines state-of-the-art machine learning techniques utilized in environmental data modeling, including predictive analytics, neural networks, and geospatial analysis, to uncover patterns, forecast trends, and optimize resource allocation. By leveraging vast datasets from urban environments and natural ecosystems, machine learning tools provide actionable insights to guide environmental policy and drive impactful interventions. This paper proposes an interdisciplinary framework that integrates machine learning with social, economic, and environmental sciences to inform policymaking. The framework emphasizes three primary objectives: promoting urban sustainability, addressing ecological disparities, and mitigating the effects of environmental hazards. Machine learning applications such as air quality prediction, climate resilience modeling, and waste management optimization are discussed as pivotal tools for achieving these goals. Furthermore, the study highlights the role of ethical data governance and inclusivity in ensuring equitable outcomes, particularly for vulnerable populations disproportionately affected by environmental degradation. Emerging trends in machine learning, including real-time monitoring through IoT devices, autonomous systems for ecological conservation, and advanced climate simulation models, are reviewed to underscore their potential for driving innovative policy solutions. The study also identifies challenges such as data bias, algorithm transparency, and resource limitations, proposing collaborative strategies to overcome these barriers. The findings advocate for a paradigm shift in environmental policy development, where data-driven, machine-learning-enabled approaches complement traditional methods. This integration fosters more dynamic, evidence-based decision-making processes capable of adapting to rapidly evolving environmental conditions. By addressing urban and ecological challenges holistically, machine learning can serve as a catalyst for sustainable development and global environmental equity.
Keywords: Machine Learning, Environmental Policy, Urban Sustainability, Ecological Challenges, Climate Change, Data Analytics, Geospatial Analysis, Predictive Modeling, Sustainable Development, Ethical Data Governance.
AI and data-driven insights: Transforming customer relationship management (CRM) in financial services
Authors: Nnaemeka Stanley  Egbuhuzor  , Ajibola Joshua Ajayi  , Experience Efeosa Akhigbe  , Oluwole Oluwadamilola Agbede  , Chikezie Paul-Mikki Ewim  , David Iyanuoluwa Ajiga
Published: February 2025

Artificial Intelligence (AI) and data-driven insights are revolutionizing Customer Relationship Management (CRM) in the financial services sector by enhancing customer engagement, streamlining operations, and enabling personalized experiences. By integrating advanced AI technologies such as machine learning, natural language processing (NLP), and predictive analytics, CRM systems can analyze vast amounts of customer data to uncover actionable insights, predict behaviors, and deliver tailored solutions. This transformation helps financial institutions build stronger relationships with customers while improving efficiency and competitiveness in a rapidly evolving market. AI-driven CRM systems provide financial institutions with tools to anticipate customer needs, segment audiences, and automate routine processes. Predictive analytics allows organizations to identify potential opportunities and risks, optimize marketing campaigns, and enhance customer retention. Natural language processing powers chatbots and virtual assistants, enabling real-time, personalized customer support while reducing operational costs. Additionally, data visualization and advanced reporting features enhance decision-making by offering clear and actionable insights to stakeholders. The adoption of AI and data-driven CRM solutions presents significant benefits, including increased customer satisfaction, enhanced loyalty, and improved operational efficiency. However, challenges such as data security concerns, regulatory compliance, and the complexity of integrating AI with existing systems remain critical barriers. Financial institutions must also address ethical considerations, such as ensuring transparency in AI decision-making and avoiding biases in customer interactions. This paper explores the role of AI and data-driven insights in transforming CRM within financial services, highlighting their applications, benefits, and challenges. It also examines successful case studies to provide actionable strategies for effective implementation. By leveraging AI and data-driven insights, financial institutions can revolutionize customer relationship management, drive sustainable growth, and remain resilient in an increasingly digital economy.
Keywords: Artificial Intelligence, Data-Driven Insights, Customer Relationship Management, Financial Services, Predictive Analytics, Machine Learning, Natural Language Processing, Customer Engagement, Personalized Experiences, CRM Transformation.
Innovative cybersecurity strategies for business intelligence: Transforming data protection and driving competitive superiority
Authors: Olanrewaju Oluwaseun Ajayi  , Chisom Elizabeth Alozie  , Olumese Anthony Abieba
Published: February 2025

This research paper explores innovative cybersecurity strategies for business intelligence (BI), emphasizing their role in transforming data protection and driving competitive superiority. It examines advanced encryption techniques, AI and machine learning, and blockchain technology, highlighting how these strategies enhance data security, operational efficiency, and cost savings. The paper also discusses emerging trends in BI cybersecurity, including AI-driven threat detection, zero-trust architecture, and blockchain advancements, and identifies areas for further research. The findings underscore the importance of robust cybersecurity measures in maintaining a competitive edge and ensuring the integrity and security of BI systems.
Keywords: Business Intelligence, Cybersecurity, Data Protection, Artificial Intelligence, Blockchain Technology.
Cross-Jurisdictional data privacy compliance in the U.S.: developing a new model for managing AI data across state and federal laws
Authors: Grace Annie Chintoh  , Osinachi Deborah Segun-Falade  , Chinekwu Somtochukwu Odionu  , Amazing Hope Ekeh
Published: February 2025

The fragmented landscape of data privacy laws in the United States poses significant challenges for organizations utilizing artificial intelligence (AI) systems that process sensitive and large-scale data. Variations in state laws and the absence of a comprehensive federal framework exacerbate compliance complexities, limiting AI innovation and creating legal uncertainties. This paper proposes a conceptual model to harmonize privacy compliance across U.S. jurisdictions, integrating key interoperability principles, consistency, transparency, and scalability. The framework emphasizes standardized practices for data classification, consent management, risk assessment, and enforcement mechanisms supported by technological enablers such as privacy-enhancing technologies and AI compliance tools. Through case studies in healthcare, e-commerce, and finance, the paper demonstrates the framework’s practical application and effectiveness in resolving multi-jurisdictional compliance challenges. Actionable recommendations for policymakers, organizations, and AI developers are provided to facilitate implementation alongside future research directions to refine the model and address emerging privacy risks. This study offers a roadmap for navigating the complexities of U.S. privacy laws, promoting trust, accountability, and responsible AI innovation.
Keywords: AI data governance, U.S. privacy laws, Cross-jurisdictional compliance, Privacy-enhancing technologies, Data protection framework, Ethical AI.
Advanced financial modeling in healthcare investments: A framework for optimizing sustainability and impact
Authors: Olusegun Bamidele Oso  , Oluwaseyi Inumidun Alli  , Abdulraheem Olaide Babarinde  , Augustine Ifeanyi Ibeh
Published: February 2025

Healthcare investments play a critical role in improving public health outcomes and fostering economic growth. However, the dual objectives of maximizing financial returns and achieving meaningful social impact present significant challenges. This study proposes a comprehensive framework for applying advanced financial modeling techniques to healthcare investments, with a focus on optimizing sustainability and impact. The framework integrates cutting-edge financial modeling approaches, including predictive analytics, scenario planning, and multi-criteria decision analysis, to address the complexities inherent in the healthcare sector. Risk management techniques are explored to identify, quantify, and mitigate uncertainties that can undermine investment performance. The framework emphasizes the use of advanced analytics to project financial returns while incorporating sensitivity analyses to account for market volatility and policy changes. Additionally, resource allocation models are proposed to optimize the distribution of financial resources across various healthcare initiatives, balancing profitability with social value creation. A critical component of the framework is its emphasis on sustainability. By incorporating environmental, social, and governance (ESG) metrics into financial models, the proposed approach ensures that healthcare investments align with long-term sustainability goals. The framework also includes impact assessment tools to measure and evaluate the social and economic benefits of healthcare investments, ensuring that outcomes align with stakeholders' expectations. The study highlights the importance of a data-driven approach in bridging the gap between financial objectives and social impact. Case studies of successful healthcare investments are used to validate the proposed framework, demonstrating its practical applicability and potential to drive significant improvements in healthcare delivery. In conclusion, this framework provides a robust foundation for healthcare investors to navigate the complexities of the sector, enabling them to achieve a harmonious balance between financial sustainability and impactful outcomes. By leveraging advanced financial modeling techniques, this study contributes to the growing discourse on sustainable healthcare investments and underscores their importance in addressing global health challenges.
Keywords: Advanced Financial Modeling, Healthcare Investments, Sustainability, Risk Management, Return Projections, Resource Allocation, ESG Metrics, Social Impact, Data-Driven Approach, Global Health.
Method of Selecting Retention Tools in Managing Voluntary Employee Turnover
Authors: NOWAK Marcin , PAWŁOWSKA-NOWAK Marta
Published: February 2025

Voluntary employee turnover poses significant challenges in human resource management, particularly in retaining key talent within organizations. The aim of this article is to present a new method for selecting retention tools to manage voluntary employee turnover effectively. Addressing a gap in the literature on targeted retention strategies, this study introduces an innovative approach for identifying retention tools tailored to mitigate turnover. Employing the DEMATEL method for multi-criteria relational analysis, the article demonstrates a structured process that aligns retention tools with talent management objectives. The findings contribute to theory by advancing practices in talent management and provide managers with practical, data-driven tools to improve employee retention.
On a way to collaborative urban climate policy. Do participatory budget voters care about climate change?
Authors:   Maria Curie-Skłodowska University, Maleszyk Piotr , Wetoszka Piotr ,   Maria Curie-Skłodowska University
Published: February 2025

Urban areas are increasingly affected by climate change, which poses threats to human health, life, and the stability of socio-economic development. Climate change mitigation and adaptation have become crucial areas of actions for urban policy authorities. Both scholars and public authorities concur that
climate policy should be participatory, but a prerequisite for successful urban climate collaboration is the understanding of how aware urban citizens are of local climate change issues. In this context, the article aims to assess the potential of urban citizens taking part in participatory budgets (PBs) to codesign urban climate policies. For that purpose, the paper examines their perception of climate change impact on urban life quality and the most important adaptation policy measures. The analysis draws on data from a survey addressed to PB-voters in the city of Lublin (Poland), conducted in autumn 2021. The research reveals that surveyed residents are strongly aware of the consequences of urban climate change and relevant mitigating measures. The study underscores the importance of harnessing the potential of this group of city-minded residents in creating and enhancing participatory urban climate policy, also via e-participation tools.
HUBUNGAN GAYA HIDUP DAN POLA MAKAN DENGAN KEJADIAN HIPERTENSI PADA MASYARAKAT TABANAN DI WILAYAH KERJA PUSKESMAS KEDIRI I
Authors: PUSPAYANI NI PUTU , WIDYANDARI NI MADE AYU SUKMA , MAHARDIKA I MADE RAI
Published: February 2025

Introduction: Hypertension is an increase in systolic blood pressure above 140 mmHg and diastolic blood pressure above 90 mmHg. Meanwhile, efforts to control high blood pressure are only carried out by one fifth of hypertension sufferers. Hypertension can be influenced by various factors, namely excessive consumption of sugar, salt and fat, lack of physical activity, excessive alcohol consumption, and stress. Method: This research design uses quantitative descriptive with cross-sectional approach. The total sample was 168 respondents using random sampling techniques. The data collection tool used was a questionnaire. Data analysis used the Chi-Square test. Results: lifestyle variables and eating patterns have a significant relationship with the incidence of hypertension, and lifestyle variables have a greater influence with a p value of 0.036 greater on the incidence of hypertension. Conclusion: lifestyle variables and eating patterns have a significant relationship with the incidence of hypertension (P-value 0.036: AOR 0.442).
ABSTRAKPendahuluan: Hipertensi adalah peningkatan tekanan darah sistolik diatas 140 mmHg dan tekanan darah diastolik diatas 90 mmHg. Sementara upaya pengendalian tekanan darah tinggi itu hanya dilakukan oleh seperlima penderita hipertensi. Hipertensi dapat dipengaruhi oleh berbagai faktor, yaitu konsumsi gula, garam dan lemak berlebih, kurang aktivitas fisik, konsumsi alkohol berlebihan, dan stress. Metode: Desain penelitian ini menggunakan deskriptif kuantitatif dengan pendekatan cross-sectional. Jumlah sampel sebanyak 168 responden menggunakan teknik random sampling. Alat pengumpulan data yang digunakan adalah kuesioner. Analisis data menggunakan uji Chi-Square. Hasil: variabel gaya hidup dan pola makan memiliki hubungan signifikan terhadap kejadian hipertensi,dan variabel gaya hidup memiliki pengaruh lebih besar dengan nilai hasil p 0,036 lebih besar terhadap kejadian hipertensi. Simpulan: variabel gaya hidup dan pola makan memiliki hubungan signifikan terhadap kejadian hipertensi (P-value 0,036 : AOR 0,442).
EKSPLORASI TATANAN PENDIDIKAN AGAMA DAN PRILAKU SIPAKALEBBI MASYARAKAT MULTIAGAMA DUSUN BORONGBULO DESA PARANGLOMPOA KECAMATAN BONTOLEMPANGAN KABUPATEN GOWA SULAWESI SELATAN
Authors: PALILI SAMPARA , FATIMAH ANA CAHAYANI
Published: February 2025

This research aims to explore the order of religious education and sipaklebbi (mutual respect) behavior in the multi-religious community of Borongbulo Hamlet, Paranglompoa Village, Bontolempangan District, Gowa Regency, South Sulawesi. The people in this region consist of various religious backgrounds, which creates unique social dynamics. The methodology used in this research is a qualitative approach, with data collection through interviews, observation and documentation studies. The research results show that the religious education system in Borongbulo Hamlet integrates the values ??of tolerance and mutual respect in its curriculum, although challenges such as stereotypes and prejudice still exist. Sipaklebbi behavior is reflected in the daily practices of society, where interactions between religious communities take place harmoniously through joint social and cultural activities. This research recommends the need to strengthen multicultural education programs and training for educators to overcome existing challenges. By understanding and strengthening the order of religious education and sipaklebbi behavior, it is hoped that a more harmonious and tolerant society can be created amidst diversity. It is hoped that the results of this research will be a source of information and inspiration for efforts to develop inter-religious harmony in other regions in Indonesia
ABSTRAKPenelitian ini bertujuan untuk mengeksplorasi tatanan pendidikan agama dan perilaku sipaklebbi (saling menghormati) di masyarakat multiagama Dusun Borongbulo, Desa Paranglompoa, Kecamatan Bontolempangan, Kabupaten Gowa, Sulawesi Selatan. Masyarakat di wilayah ini terdiri dari berbagai latar belakang agama, yang menciptakan dinamika sosial yang unik. Metodologi yang digunakan dalam penelitian ini adalah pendekatan kualitatif, dengan pengumpulan data melalui wawancara, observasi, dan studi dokumentasi. Hasil penelitian menunjukkan bahwa tatanan pendidikan agama di Dusun Borongbulo mengintegrasikan nilai-nilai toleransi dan saling menghormati dalam kurikulumnya, meskipun tantangan seperti stereotip dan prasangka masih ada. Perilaku sipaklebbi tercermin dalam praktik sehari-hari masyarakat, di mana interaksi antarumat beragama berlangsung harmonis melalui kegiatan sosial dan budaya bersama. Penelitian ini merekomendasikan perlunya penguatan program pendidikan multikultural dan pelatihan bagi pendidik untuk mengatasi tantangan yang ada. Dengan memahami dan memperkuat tatanan pendidikan agama serta perilaku sipaklebbi, diharapkan dapat tercipta masyarakat yang lebih harmonis dan toleran di tengah keberagaman. Hasil dari penelitian ini diharapkan menjadi sumber informasi dan inspirasi bagi upaya pengembangan kerukunan antarumat beragama di wilayah lain di Indonesia.
MEKANISME COPING GURU BK DALAM MENGHADAPI SISWA DENGAN PERILAKU SELF-HARM : STUDI KUALITATIF
Authors: PRATIWI SANTI RIKSA , ROSAWATI YOGA AYU OKTARIA , SUGIARTI RINI , SUHARIADI FENDY
Published: February 2025

Mental health is currently a frequently discussed topic, one of which is mental health among adolescents. When an adolescent becomes emotionally fragile, they may resort to self-harm as an outlet. Guidance counselors who support students dealing with self-harm also require effective coping mechanisms to maintain their own mental health. This study aims to understand how a student's self-harming behavior impacts the emotional regulation of the guidance counselor supporting them and how the counselor employs coping mechanisms to address this issue. The research adopts a qualitative method with a phenomenological approach, as the researchers seek to uncover the issue of self-harm that is prevalent among adolescents. The results of the research show five findings, namely feelings of discomfort that arise when accompanying students with Self-Harm behavior, the form of Self-Harm carried out by students is by cutting their arms, the background of students doing Self-Harm varies, Guidance Teachers carry out Problem Focused and Emotional Focused Coping to reduce pressure.
ABSTRAKKesehatan mental saat ini merupakan topik yang sering dibahas, dan salah satunya adalah kesehatan mental pada remaja. Ketika diri seorang remaja menjadi rapuh mereka bisa melakukan pelampiasan melalui tindakan self-harm. Guru BK yang membimbing peserta didiknya yang mengalami self-harm pun membutuhkan mekanisme koping yang tepat untuk tetap menjaga kesehatan mentalnya. Penelitian ini dilakukan dengan tujuan untuk mengetahui tindakan self harm yang dilakukan seorang peserta didik akan mempengaruhi regulasi emosi guru BK yang membimbingnya dan bagaimana cara guru BK melakukan mekanisme coping menghadapi masalah tersebut. Penelitian ini menggunakan metode kualitatif dengan pendekatan fenomenologi dikarenakan peneliti ingin menungkap masalah self-harm yang banyak dilakukan para remaja. Hasil penelitian menunjukkan lima temuan, yaitu perasaan kurang nyaman yang muncul saat mendampingi siswa dengan perilaku Self-Harm, bentuk Self-Harm yang dilakukan oleh siswa yaitu dengan menyayat lengan, latar belakang siswa melakukan Self-Harm beragam, Guru BK melakukan Problem Focused Coping dan Emotional Focused Coping untuk mengurangi tekanan.