The article examines the relevance and substantiates the architectural model for the application of document-oriented NoSQL databases in the field of storage, processing, and analysis of genealogical documents. The relevance of the study is determined by the intensive processes of digitalization of archival collections in Ukraine and the need for technological solutions capable of efficiently handling large volumes of unstructured and heterogeneous information, such as digital images, optical character recognition (OCR) results, and accompanying metadata, the structure of which varies depending on the content of a particular archival collection. The purpose of the study is to develop and justify the use of NoSQL models as an optimal solution for managing genealogical data in archival science, which will enable centralized genealogical research management based on diverse archival sources. It is noted that the NoSQL model provides a flexible storage schema that allows the integration of all personal data into a single document. This approach addresses the problem of data diversity and multilingualism typical of Ukrainian archival collections. Moreover, the document-oriented approach ensures horizontal scalability for managing the growing volumes of Big Data and allows the use of flexible indexing mechanisms that facilitate advanced contextual search and the identification of hidden semantic relationships between data distributed across various collections. Based on the example of AtlantoCracies, it has been established that the implementation of NoSQL in archival science serves as a foundation for creating robust, high-performance systems that will significantly accelerate digitization processes and improve access to the national cultural heritage for research purposes.

In the last two decades, Neuropeptide S (NPS) has been identified as a key bioactive peptide in the mammalian brain, influencing fear, anxiety, wakefulness, reward, and learning. While some reviews have addressed its role in reward-seeking and anxiety, few have addressed its particular role in learning and memory. The neuropeptide S receptor 1 is highly expressed in key areas for learning processing, such as the hippocampus, cortex, thalamus, and amygdala. This review aims to examine evidence from human and animal studies that focused on the NPS system's role in modulating learning and memory. A special focus is given to experiments addressing the impact of NPS on associative learning leading to addiction and in fear conditioning, pointing to its potential therapeutic value in associated pathologies. An advanced search was conducted using the databases PubMed, Google Scholar, Web of Science, and Scopus, focusing on memory and Neuropeptide S. The reviewed data suggest that NPS modulation occurs at all memory phases, including acquisition, consolidation, and retrieval, and in extinction learning, whether motivated by appetitive or aversive stimuli. The summarized evidence shows that the NPS system interferes with working and short-term memory, mitigates learning impairments, enhances spatial and object memory consolidation, supports fear extinction learning and inhibitory avoidance consolidation, and reinstates drug-seeking behaviors. The NPS system closely interacts with key neuromodulators, including orexinergic, dopaminergic, and noradrenergic systems, in influencing memory. The Neuropeptide S system emerges as a critical modulator of memory processes. The NPS signaling may preferentially influence learning that involves emotionally or motivationally relevant stimuli. This highlights the NPS system's potential as a target for therapeutic interventions for particular memory impairments.

ABSTRACT The integration of Generative AI (GenAI) into academic and professional contexts has introduced new challenges and opportunities for libraries and librarians. As students and researchers navigate when and how to use GenAI tools, librarians are uniquely positioned to guide ethical and effective engagement. Prompt engineering, the practice of crafting precise prompts to optimize GenAI outputs, closely aligns with traditional information literacy skills, such as developing search strategies and evaluating sources. Historically, librarians have adapted to technological shifts, from card catalogs to online databases, honing advanced search techniques to manage complex information landscapes. GenAI represents the next evolution, requiring librarians to help users ask the right questions and critically assess AI-generated content. While opinions on GenAI in higher education remain mixed, emerging frameworks like CLEAR and AID demonstrate potential for enhancing research and citation practices. The Prompt Engineering for Advanced Research in Libraries (PEARL) guidelines build on this foundation, offering practical strategies for incorporating GenAI into reference interviews. By leveraging their expertise in information retrieval, librarians can empower users to navigate GenAI responsibly, ensuring accuracy, credibility, and ethical use in research consultations.

Housing inequalities remain a persistent global challenge, significantly exacerbating poverty and limiting access to fundamental human rights. This systematic literature review explores the recent global challenges and solutions in addressing housing inequalities, focusing on their intersections with poverty. Utilizing the PRISMA methodology, we conducted an advanced search using Scopus and Web of Science databases to ensure comprehensive and high-quality coverage of relevant literature. After screening and eligibility assessments, 35 primary studies were identified and analyzed. The findings were divided into three themes which are (1) housing and structural inequalities, (2) housing as a social and economic Tool, (3) housing and accessibility Challenges. In order to lessen housing disparities and poverty, this review highlights the significance of inclusive housing policies, community-led projects, and creative funding methods. Furthermore, it became clear that sustainable techniques and interdisciplinary partnerships were essential to attaining fair housing results. In addition to pointing out important knowledge gaps, this review also urges further study on regional differences and how housing disparity is impacted by climate change. This study offers practical insights for practitioners, researchers, and policymakers seeking to develop sustainable and equitable housing solutions by combining global viewpoints.

Abstract The accelerating digitization of local economies has fundamentally transformed the paradigm of business discovery and consumer decision-making. Traditional business directories, characterized by printed listings or static web pages, are increasingly inadequate for modern users who demand real-time information, personalized search experiences, geolocational intelligence, and interactive engagement with service providers. This paper presents ListPlace, a comprehensive web-based business discovery and listing platform engineered to bridge the gap between local enterprises and digital consumers. The platform is developed using a robust technology stack comprising HTML5, CSS3, JavaScript, Bootstrap 5, PHP (Laravel 10 framework), and MySQL 8.0. ListPlace facilitates efficient, bidirectional interaction between end-users and business owners by integrating advanced search functionalities, multi-criteria category-based filtering, dynamic location-aware result ranking, and a structured review and rating system designed to enhance trust and inform decision-making. The system follows a modular, layered architecture that ensures scalability, maintainability, and high performance under variable loads. A freemium monetization model is implemented, enabling businesses to amplify their visibility through premium subscription packages while preserving accessibility via free basic listings. A comprehensive evaluation of the system, including usability testing and performance benchmarking, demonstrates improved search result latency (average <200ms), high user satisfaction scores (System Usability Scale score of 82), and increased business profile engagement. The proposed platform offers a practical, scalable, and economically viable solution for modern digital directory ecosystems. Keywords: Business discovery platform, local search, Laravel, MySQL, review system, freemium model, responsive web design, usability engineering.

This study addresses the challenge of low efficiency and limited scalability in microbial fuel cells (MFCs), particularly regarding electron transfer between microorganisms and electrodes. These limitations hinder their potential as sustainable technologies for clean energy generation while treating wastewater. Conductive hydrogels and hybrid polymers are proposed as promising solutions, as they facilitate the formation of electroactive biofilms and enhance electron conductivity. However, research in this field remains fragmented, with limited methodological standardization and comparability across studies. The methodology involved a bibliometric analysis of scientific publications from 2010 to 2024, sourced from the Scopus database. An advanced search strategy was employed using keywords related to hydrogels, MFCs, conductive polymers, and sustainability. The initial corpus was refined to 360 documents, analyzed using Bibliometrix (in RStudio) and VOSviewer. Key indicators assessed included annual production, average citations, leading authors, co-authorship networks, top journals, and contributing institutions. Results reveal exponential growth in publications since 2015, peaking in 2024. The most influential authors were El-Naggar A.M. and Aziz S.B., recognized for both productivity and impact. Journals such as Polymers and ACS Applied Materials and Interfaces host the highest number of publications in the field. China and Saudi Arabia stood out for their publication volume, with institutions like King Saud University noted for high levels of international collaboration. Emerging topics include nanomaterial-doped hydrogels, circular economy strategies, and electro fermentation applications. This analysis provides a strategic overview of how functional materials are driving the advancement of MFCs toward clean, sustainable, and entrepreneurially viable energy solutions.

Cell-based regenerative endodontic procedures (REPs) using dental pulp stem cells (DPSCs), stem cells from human exfoliated deciduous teeth (SHEDs) and those from apical papillae have shown great potential for authentic pulp regeneration, as evidenced by reports from preclinical studies and limited clinical trials. However, challenges, such as low cell survival rates, immune rejection during allogeneic transplantation and inconsistent protocols, hinder their widespread clinical implementation. This review aimed to summarise the regenerative methodologies widely used in studies involving autologous and allogenic DPSC/SHED transplantation and their clinical outcomes, analyse the discrepancies between preclinical and clinical studies, explore the potential mechanisms underlying alloimmune responses in allogeneic cell transplantation and provide possible strategies to minimise this type of immune rejection. A comprehensive search was conducted on clinicaltrials.gov using keywords '(dental pulp stem cells) OR (dental pulp mesenchymal cells) OR (DPSCs) OR (human deciduous teeth stem cells) OR (stem cells from human exfoliated teeth) OR (SHED),' followed by inputting keywords '(NestaCell) OR (Cellavita HD).' Clinical trials not registered on the website and case reports were also included via advanced search on PubMed using keywords '(dental pulp stem cells) OR (dental pulp mesenchymal cells) OR (DPSCs) OR (human deciduous teeth stem cells) OR (stem cells from human exfoliated teeth) OR (SHED)' with filters '(Case reports) AND (Clinical trial).' Twenty-seven clinical trials and 11 case reports were included. Whereas these studies related to endodontic diseases revealed favourable outcomes for teeth treated with pulp regeneration approaches, preclinical studies observed limited cell survival invivo, indicating that DPSCs exhibit environment-dependent immunogenicity and immunoregulatory properties under favourable conditions but become immunogenic in stressful microenvironments such as cell passage and differentiation, hypoxia and inflammation. Potential strategies have been developed to prolong DPSC survival. Despite encouraging preliminary results, significant limitations remain in the establishment of standardised protocols and the development of reliable techniques for longitudinal cell tracking. In future research, optimised delivery systems, immune-evasive cell engineering and rigorous clinical trial designs should be optimised to advance REPs towards predictable, clinically viable therapies.

To develop and implement a multi-institutional research platform by standardizing and integrating clinical terms with international terminologies. This study introduces the Health data Research Suite (HRS) platform, designed to standardize and connect electronic medical record (EMR) data across institutions for efficient multi-institutional research. A hybrid mapping process-combining automated and manual methods-ensures semantic equivalency, consistency, and compliance with international standards like SNOMED CT, LOINC, and RxNorm. Key strategies included domain-specific semantic restrictions, prioritized attributes for post-coordination, and tailored mapping approaches. Cross-validation and expert consultations resolved mapping discrepancies and inactive concept issues, ensuring reliable data alignment. The study enhanced mapping accuracy in SNOMED CT, LOINC, and RxNorm by utilizing semantic tags and attribute prioritization, with expert consultations addressing any discrepancies. The HRS platform, designed with advanced code search capabilities and user-friendly interfaces, improved cohort generation and facilitated multi-institutional research. Challenges in maintaining inter-institutional consistency and addressing SNOMED CT's hierarchical limitations were mitigated with a detailed mapping manual, systematic validation, and expert consensus-building. However, a national shortage of trained terminology specialists in Korea underscores the need for educational programs to enhance workforce expertise. Future enhancements include advanced search options and attribute-based retrieval to further improve usability and research support. This study presents a mapping strategy to align institutional clinical terms with international standards, addressing challenges in semantic consistency and system implementation. The approach enhances multi-institutional research efficiency and fosters innovation in integrated healthcare research, with potential to advance global health outcomes.

High-Throughput Imaging Cytometry paired with Artificial Intelligence Identifies Ultra-Rare Sperm in Men previously Diagnosed with Clinical Azoospermia.

People living with HIV (PLHIV) frequently face psychological challenges, including stigma, stress and social isolation, which can negatively affect adherence to antiretroviral therapy (ART). Even in high-income countries where treatment is accessible, poor adherence can lead to drug resistance, reduced immune function and early morbidity. This systematic review aims to synthesise evidence on the relationship between psychological and mental health factors and ART adherence among PLHIV in high-income settings. We will include studies published in any language between January 2015 and the date of the last searches. Reports of studies published in languages other than English, and which appear to be eligible for inclusion after the first level of screening, will be translated using Google Translate.Studies will be included if they continue to meet the inclusion criteria and the quality of the translation is sufficient to extract the relevant data. PLHIV aged ≥15 years receiving ART in high-income countries. The studies to be included must assess psychological or mental health variables and ART adherence. Peer-reviewed journal articles will be the primary source of evidence. Grey literature identified from reference lists of key articles or using Google Advanced search techniques will be included. Searches for published studies will be done in OVID Medline, PsycINFO and Embase. Cochrane CENTRAL will be used to identify clinical trials in ClinicalTrials.gov and the International Clinical Trials Registry Platform.Two independent reviewers will assess study quality and risk of bias using the Newcastle-Ottawa Scale, National Institutes of Health (NIH) Quality Assessment Tool and Jadad Scale. Discrepancies will be resolved by a third reviewer. Synthesis of quantitative data will be primarily descriptive. Predictors that have been examined in three or more studies will be reported in detail while those assessed in fewer studies will be presented concisely. This study will be a review of the literature and will not involve primary collection of patients' data. We will include amendments to the protocol in the final review. The final study will be published in a peer-reviewed journal and presented at conferences. The results of this systematic review will inform clinical practice, guide future research and support policy development that minimise mental health barriers to ART adherence. CRD420251102248.

The rapid digitization of the hospitality and event management industry has created an urgent need for intelligent, scalable, and user-centric platforms that streamline the venue discovery and booking process. This paper presents EventVenue, a comprehensive full-stack web application designed to bridge the gap between event organizers, venue providers, and platform administrators through a unified digital ecosystem. The platform is architected using Next.js 14 with TypeScript for the frontend and Spring Boot 3.2 with Java 17 for the backend, connected to a PostgreSQL database hosted on Supabase. EventVenue introduces a multi-role access model supporting three user types —Customers, Vendors, and Administrators—each with dedicated dashboards and role-specific functionality. Key features include advanced venue search with multi-criteria filtering, Google Maps-based location services, a PayPal-integrated secure payment gateway, a points-based loyalty system, real-time booking lifecycle management, event ticketing with seat category configurations, comprehensive analytics dashboards with data visualization, and an AI-powered customer support chatbot utilizing Google Gemini. Security is enforced through JWT-based stateless authentication, BCrypt password hashing, role-based access control (RBAC), and OTP-based email verification. The system follows a RESTful API architecture with over 35 well- defined endpoints, standardized request/response patterns, and comprehensive error handling. Experimental evaluation demonstrates that the platform achieves API response times under 200ms for standard operations, supports concurrent user sessions without performance degradation, and provides a seamless cross-platform user experience through server-side rendering and responsive design.

The integration of game-based learning (GBL) into English language education has gained significant scholarly attention over the past two decades, reflecting both the rapid growth of digital technologies and the urgent need to enhance learner motivation, engagement, and proficiency. Despite the increasing body of literature, few studies have systematically mapped the global research landscape to identify trends, influential works, and emerging themes in this field. Addressing this gap, the present study conducts a bibliometric analysis of research on game-based approaches in English language learning, aiming to provide a comprehensive overview of its development and intellectual structure. Data were collected using the Scopus advanced search function with the keywords “Game-Based Learning” and “English Language Learning,” yielding a final dataset of 445 documents. To ensure accuracy, the dataset was cleaned and standardized using OpenRefine before further analysis. Descriptive statistics and publication trends were generated through Scopus Analyzer, while network visualizations of co-authorship, co-citation, and keyword co-occurrence were produced using VOSviewer software. The results reveal steady growth in publications since 2005, with a sharp increase after 2020, peaking in 2024. This reflects the heightened interest in digital pedagogy during and after the COVID-19 pandemic. Taiwan, China, and Malaysia emerged as leading contributors, while highly cited works emphasized the impact of mobile, virtual, and gamified learning environments on motivation, vocabulary acquisition, and communicative competence. Co-occurrence keyword analysis highlighted six thematic clusters, including pedagogy, learner motivation, technology integration, and vocabulary learning, underscoring the field’s multidisciplinary nature. Overall, this study contributes to the body of knowledge by mapping global patterns, identifying research hotspots, and highlighting opportunities for future inquiry into the evolving role of GBL in English language learning.

The rapid evolution of digital technologies has fundamentally reshaped organisational structures and leadership dynamics, prompting an urgent need to understand the role of digital leadership in enhancing organisational performance. Despite growing scholarly attention, insights remain fragmented regarding how digital leadership influences performance across different organisational contexts. This systematic literature review aims to synthesise recent empirical evidence on this relationship by examining scholarly articles published between 2023 and 2025. An advanced search strategy was employed across the Scopus and Web of Science (WoS) databases, following the PRISMA 2020 guidelines, to identify, screen, and synthesise empirical studies on digital leadership and organisational performance within the specified period. After de-duplication and eligibility checks, 20 primary studies were retained for synthesis. The analysis was organised into three thematic categories: digital leadership and organisational performance in sustainable and technological contexts; digital leadership in public sector and knowledge-driven organisations; and digital leadership, employee dynamics, and organisational agility. Findings reveal that digital leadership plays a multifaceted role in improving organisational performance by enabling sustainability practices, accelerating digital transformation, and promoting innovation. This review addresses three research questions concerning adoption challenges, implementation pathways that enhance performance, and employee and managerial challenges in driving organisational change and sustainability, and proposes a conceptual research model to consolidate the reviewed evidence. In conclusion, digital leadership emerges as a strategic enabler that not only drives technological adoption but also cultivates a performance-oriented culture across sectors.

Quantum computing (QC) is expected to solve incredibly difficult problems, including finding optimal solutions to combinatorial optimization problems. However, to date, QC alone has still been unable to demonstrate this capability except for small-sized problems. Hybrid approaches, where QC and classical computing work together, have shown the most potential for solving real-world-scale problems. This work aims to show that we can enhance a classical optimization algorithm with QC so that it can overcome this limitation. We present a new Hybrid Quantum-classical Tabu Search (HQTS) algorithm to solve the Capacitated Vehicle Routing Problem (CVRP). Based on our prior work, HQTS leverages QC for routing within a classical tabu search framework. The quantum component formulates the Traveling Salesman Problem (TSP) for each route as a Quadratic Unconstrained Binary Optimization (QUBO) and solves it using D-Wave’s Advantage system. Experiments investigate the impact of quantum routing frequency and starting solution methods. Across different starting solution methods, including quantum-based and classical heuristics, it shows minimal overall impact. HQTS achieved optimal or near-optimal solutions for several CVRP problems, outperforming other hybrid CVRP algorithms and significantly reducing the optimality gap relative to preliminary research. The experimental results demonstrate that more frequent quantum routing improves solution quality and runtime. The findings highlight the potential of integrating QC within meta-heuristic frameworks for complex optimization in vehicle routing problems.

Modern poultry breeding requires integrated genomic and phenotypic data to optimize production traits, yet comprehensive resources remain fragmented and often inaccessible. We developed a comprehensive electronic Genome-Wide Association Studies (GWAS) Atlas for chicken breeds that consolidates genomic data with phenotypic information from both commercial and heritage breeds. This web-based platform addresses critical gaps in existing databases through a unified, cross-referenced system linking more than 2,500 SNPs and other DNA alterations to 454 documented traits across diverse chicken breeds. The Atlas features four integrated portals: breed profiles with visual catalogs, trait-based breed searches using hierarchical classification, genomic information with DNA alterations and affected genes linked to specific traits, and advanced search functionality. A key innovation is the platform’s ability to reveal previously hidden cross-source genetic associations, such as connecting the GJA5 gene’s roles in both egg production and feather coloration. This publicly accessible resource provides breeders and researchers worldwide with comprehensive tools for informed decision-making in poultry breeding programs.

Tourism information systems play an important role in improving destination visibility, accessibility of tourism information, and visitor engagement, particularly in rural communities with emerging tourism potential. However, many rural destinations still rely on fragmented online sources and limited digital platforms, which restrict tourists’ ability to access reliable and centralized travel information. This study evaluates the system quality and implementation acceptability of iTourGab: An Advanced Search Engine Optimization Progressive Web App Smart Travel Guide for Gabaldon, Nueva Ecija, developed to centralize tourism information, provide geolocation-based navigation, and enhance the digital visibility of local tourism destinations. A quantitative descriptive-evaluative research design was employed involving IT experts and end-users composed of tourists, tourism officers, and local business partners. The system was evaluated using the ISO/IEC 25010 Software Product Quality Model, while implementation acceptability was assessed through structured Likert-scale instruments. The collected data were analyzed using weighted mean. The results indicate that iTourGab demonstrated high compliance with software quality standards and was highly acceptable to users, particularly in terms of tourism information accessibility, navigation services, data accuracy, and user engagement. The findings confirm that the system is technically robust and suitable for deployment as a digital smart travel guide supporting tourism promotion in Gabaldon, Nueva Ecija.

Glioblastoma (GBM) has remained relatively unresponsive to immunotherapy, with scattered durable responses reported in early CAR T-cell studies, but without clear benefit at the population level. The major challenge for GBM has been its heterogeneous nature with a significantly immunosuppressive microenvironment that is predominantly composed of myeloid cells, inhibiting T-cell infiltration, function, and providing a rapid pathway for adaptive resistance. The focus of this review is to reposition GBM CAR T-cell therapy as a systems-level issue, turning localized CAR T-cell cytotoxicity into sustained control of the disease by engaging endogenous antitumor immunity via cytokine myeloid chemokine networks. We integrated both mechanism- and translation-oriented evidence for how inflammatory mediators derived from CAR T cells (Type I IFNs, IFN-γ, TNF) may license microglia/tumor-associated macrophages for antigen presentation and chemokine secretion, thus recruiting host effector cells and promoting antigen epitope spreading. To place this work within the context of current engineering trends, the current paper undertook a structured meta-synthesis on registry trials for interventional CAR T therapy for GBM using ClinicalTrials.gov. Using a structured advanced search strategy, we searched 91 registry records, found 44 trials for interventional CAR T therapy, and evaluated 23 active trials commenced after January 2020. Trials were classified based on target antigen choice, multi-antigen OR-gated approaches, conditional AND-gated synNotch logic, as well as safety and controllability measures (inducible off-switches). The effectiveness of CAR T cells for GBM is not likely to be actualized by targeting alone and needs to incorporate both killing and productive self-reinforcing endogenous immunity via myeloid licensing and chemokine amplification. Current trials are increasingly integrating this paradigm with a focus on more comprehensive antigens, gated CARs, immune-conjugate payloads, and safety designs amenable to the CNS without major toxicity such as ICANS. Future translation will require a focus on implementing endogenous immune activation as a quantified endpoint (including cytokine and chemokine analysis within CSF) and a simultaneous focus on immune set points that maintain cross-priming and memory without unmasking neuroinflammatory toxicity.

Urbanization and migration for education and employment have significantly increased the demand for rental accommodations. However, traditional rental systems suffer from inefficiency, lack of transparency, and poor communication mechanisms. This paper presents StayEasy, an Android-based rental accommodation application developed using Android Studio and integrated with Firebase services. The application provides secure authentication, property listing, advanced search filtering, and real-time booking functionality. The proposed system enhances accessibility, transparency, and efficiency in rental management while ensuring scalability and data security. Experimental results show improved response time and user satisfaction compared to traditional rental processes.

The growing discourse on the role of Foreign Direct Investment (FDI) in promoting sustainable human capital development has attracted significant scholarly attention, yet there remains a lack of systematic mapping of research patterns in this domain. This study addresses this gap by conducting a bibliometric analysis to examine global research trends, thematic structures, and collaboration networks on FDI and sustainable human capital development. Using the Scopus database, we applied an advanced search strategy, which retrieved a total of 385 documents published between 2021 and 2025. The data were first cleaned and harmonized using OpenRefine to ensure consistency and reliability, after which the Scopus Analyzer was employed to generate descriptive statistics and publication trends across years, countries, and subject areas. VOSviewer software was then used to construct and visualize co-occurrence networks of author keywords, citation relationships, and international collaborations. The analysis revealed a notable increase in publications during 2023–2025, reflecting growing scholarly and policy interest in aligning investment flows with sustainable human capital outcomes. Economics, Social Sciences, and Environmental Studies emerged as the dominant subject areas, indicating the multidimensional nature of this research field. Co-occurrence mapping identified four main clusters centered around FDI, human capital, economic growth, and sustainable development, highlighting the thematic interconnectedness between investment policies, labor productivity, and long-term development goals. China, the United States, and Malaysia were among the most influential contributors in terms of both output and citation impact, suggesting strong research leadership in both developed and emerging economies. Overall, this study not only provides a comprehensive overview of the intellectual structure and global collaboration in this field but also contributes to the body of knowledge by identifying emerging themes and gaps for future research on the nexus between FDI and sustainable human capital development.

The overall objective of this study was to analyze the relationship between financial diagnostics and smart technology through a theoretical review of their conceptual foundations, main models, and financial theories, as well as a bibliometric analysis of scientific output recently indexed in Scopus.Methodologically, an advanced search was conducted in the Scopus database on February 25, 2026, delimiting the period from 2020 to 2026 and restricting the search to the fields of business and economics.The results identified 827 documents, showing a significant growth in academic interest, peaking in 2025.There is a strong concentration on applications of artificial intelligence, machine learning, and predictive analytics focused on risk assessment, bankruptcy prediction, and financial performance analysis.China, the United States, and India lead scientific output in this area.It is concluded that the integration of smart technology strengthens financial diagnosis by expanding the analytical, predictive, and strategic capabilities of business management, although significant challenges related to algorithmic interpretation and the integration of behavioral variables remain.