Systematic Literature Analysis Research Articles

Machine learning models including patient-reported outcome data in oncology: a systematic literature review and analysis of their reporting quality.

To critically examine the current state of machine learning (ML) models including patient-reported outcome measure (PROM) scores in cancer research, by investigating the reporting quality of currently available studies and proposing areas of improvement for future use of ML in the field. PubMed and Web of Science were systematically searched for publications of studies on patients with cancer applying ML models with PROM scores as either predictors or outcomes. The reporting quality of applied ML models was assessed utilizing an adapted version of the MI-CLAIM (Minimum Information about CLinical Artificial Intelligence Modelling) checklist. The key variables of the checklist are study design, data preparation, model development, optimization, performance, and examination. Reproducibility and transparency complement the reporting quality criteria. The literature search yielded 1634 hits, of which 52 (3.2%) were eligible. Thirty-six (69.2%) publications included PROM scores as a predictor and 32 (61.5%) as an outcome. Results of the reporting quality appraisal indicate a potential for improvement, especially in the areas of model examination. According to the standards of the MI-CLAIM checklist, the reporting quality of ML models in included studies proved to be low. Only nine (17.3%) publications present a discussion about the clinical applicability of the developed model and reproducibility and only three (5.8%) provide a code to reproduce the model and the results. The herein performed critical examination of the status quo of the application of ML models including PROM scores in published oncological studies allowed the identification of areas of improvement for reporting and future use of ML in the field.

NoSQL Technologies in Big Data Ecosystems: a Comprehensive Review of Architectural Paradigms and Performance Metrics

The exponential growth of data in volume, velocity, and variety has challenged traditional relational database management systems, leading to the emergence and widespread adoption of NoSQL and other innovative database technologies. This article provides a comprehensive review of NoSQL databases and their role in modern Big Data infrastructure stacks. Through a systematic analysis of current literature and industry case studies, we explore the architectural paradigms, performance metrics, and use cases of various NoSQL database types, including document-based, key-value, column-family, and graph databases. Our findings indicate that NoSQL solutions offer significant advantages in scalability, flexibility, and real-time processing capabilities, particularly for unstructured and semi-structured data. However, challenges persist in areas such as data consistency, security, and interoperability with existing systems. We also examine emerging trends, including NewSQL, time-series databases, and the integration of artificial intelligence in database management. This article contributes to the understanding of how organizations can leverage NoSQL technologies to optimize their Big Data infrastructure, highlighting both the opportunities and considerations for implementation. Our conclusions underscore the transformative impact of NoSQL on data management practices and provide directions for future research in this rapidly evolving field.

A Comparative Study on Fault-Tolerant Coding Techniques in RAID6 Analyzing the Efficiency and Limitation of EVENODD and RDP Codes

With the development of computer science, the application of information storage in various fields such as business, military, gaming, and more has been playing a important role in our day-to-day life. This paper provides a systematic analysis of the current academic literature on data storage, offering an overview of RAID storage technology. It discusses the historical development of RAID technology, including real-world application examples, and highlights some researchers’ innovative upgrades to the technology. The paper elucidates the details and applications of the EVENODD and RDP algorithms, which are closely related to RAID technology, and analyzes the error correction performance of these two algorithms in scenarios where only a single device fails, supported by relevant calculations. The analysis concludes that the RDP algorithm has an advantage in recovering from single device failures when comparing EVENODD and RDP. Finally, the future prospects and some new application scenarios of RAID data storage technology are discussed.

Looking for Typical Traits in Monovarietal VOOs According to Their Phenolic Composition

Due to its high sensitivity to numerous variability sources, it is hard to define the typicity of a monovarietal virgin olive oil (VOO) according to its phenolic profile. In this study, we aimed to identify the features of phenolic composition that are persistent and minimally affected by variability sources, making them potential varietal markers. We separately analyzed three databases of monovarietal VOO phenolic compositions, determined by liquid chromatography, from three different cultivars. The first database was produced from the original data of the Bosana cultivar. The other two were obtained through a systematic analysis of scientific literature on Coratina and Frantoio cultivars. Several statistical tools, including coefficient of variability, correlations, and linear regression models, were used to find recurring proportions or ratios unaffected by variability sources suitable to define typical varietal traits. Some proportions between molecules, mostly within the same phenolic class, remain constant. Strong correlations between (i) flavonoids were observed in Bosana and Frantoio VOOs (R2 = 0.87 and 0.77, respectively), (ii) oleacein-oleocanthal (Bosana, R2 = 0.81) (iii) oleuropein aglycon-ligstroside aglycon (Frantoio, R2 = 0.88), and (iv) lignans (Coratina, R2 = 0.84). These traits could be useful tools for defining the typicity of monovarietal VOOs.

The construct of attitude in mathematics education research: current trends and new research challenges from a systematic literature review

AbstractThe crucial role of attitude towards mathematics in the processes of teaching and learning mathematics is now recognized by both school practitioners and researchers in the field. However, “attitude” is a construct borrowed by disciplines other than mathematics education, and it is still conceptualized in various ways within the broad body of research about the role of affect in the teaching and learning of mathematics. In this context, developing a systematic literature review is particularly significant to characterise the recent trends—through the critical description of studies, foci, and approaches—and to guide future research by highlighting new possible research challenges in light of the current state of the art. Adhering to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines, this paper describes the systematic literature analysis of 180 papers published between the beginning of 2016 and the end of 2023, sourced from the Web of Science and Elsevier’s Scopus databases. The review confirms the worldwide interest and production about attitude towards mathematics, highlighting new remarkable findings and interests, such as the critical discussion about the translation of validated scales, as well as the persistence of some typical critical issues related to the “quantitative domain” in methodologies and to the widespread absence of precise definitions for attitude or of appropriate theoretical frameworks.

Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization

Global food security is under significant threat from climate change, population growth, and resource scarcity. This review examines how advanced AI-driven forecasting models, including machine learning (ML), deep learning (DL), and time-series forecasting models like SARIMA/ARIMA, are transforming regional agricultural practices and food supply chains. Through the integration of Internet of Things (IoT), remote sensing, and blockchain technologies, these models facilitate the real-time monitoring of crop growth, resource allocation, and market dynamics, enhancing decision making and sustainability. The study adopts a mixed-methods approach, including systematic literature analysis and regional case studies. Highlights include AI-driven yield forecasting in European hydroponic systems and resource optimization in southeast Asian aquaponics, showcasing localized efficiency gains. Furthermore, AI applications in food processing, such as plasma, ozone and Pulsed Electric Field (PEF) treatments, are shown to improve food preservation and reduce spoilage. Key challenges—such as data quality, model scalability, and prediction accuracy—are discussed, particularly in the context of data-poor environments, limiting broader model applicability. The paper concludes by outlining future directions, emphasizing context-specific AI implementations, the need for public–private collaboration, and policy interventions to enhance scalability and adoption in food security contexts.

Overcoming challenges faced by female construction management graduates: an exploratory study in Australia

The construction industry is predominately male-dominated, which can be daunting for female construction management graduates. Several statistics highlight the low female participation rates and lack of females in senior/management positions. To date, abundant research has been completed to understand the challenges women working in construction face. However, it is unclear how these challenges are being addressed and what support frameworks are available to females in construction organisations. The research methodology adopted herein involved a systematic analysis of current literature, followed by a qualitative research approach with data collection through semi-structured interviews and data analysis using content analysis. The interviews provided firsthand experiences and an understanding of the challenges and strategies experienced on individual and organisational levels. The results found a strong stigma around females in construction and how current females consider these challenges as opportunities to succeed in the industry. This study takes a different stance to current research, which mainly focuses on ‘identifying the presence and negative impacts of the challenges faced by females’ and shifts the focus to ‘how these challenges can be overcome and what could be done to promote females in construction.’ Hence, the study offers several recommendations and implications for promoting females and overcoming current challenges.

<span><strong>Non-verbal language application in language teaching and learning in the English classroom: A systematic review study</strong></span>

The weight of non-verbal language application is strongly believed to significantly offer several benefits to language teaching and learning. This paper is a critical and systematic analysis of available literature on the application of non-verbal language in the English classroom context. Specifically, it investigates common types of non-verbal language used in the English classroom. In addition, the paper focuses on highlighting the effects of non-verbal language on teachers and students in terms of knowledge transferring and understanding, teaching and learning motivation and language communication. Finally, it looks into some rules and techniques to implement non-verbal language in the educational context. The research findings provide a comprehensive overview of the application of non-verbal language in order to enrich teachers’ teaching experience, boost up the students’ performance as well as competence, improve learning outcomes, and increase the quality of language teaching and learning.

A systematic analysis of literature on academic writings, attitude, and excellence in the literary world as published in Scopus-indexed journals from 1991 to 2020.

Objective: To assess the role of excellence and competencies in academic writing and how these have evolved, particularly in light of changes in the education system and technological advances.Methodology: A comprehensive search was conducted to gather literature published across ten formats, which was subsequently downloaded from journals indexed in the Scopus database in a comma-separated values (CSV) file for systematic analysis. The search utilized the terms "Academic Writings," "Academic Attitude," and "Academic Excellence," and was restricted to the timeframe from 1991 to 2020.Results: The available data encompasses ten distinct publication formats, which include articles (1820, 76.5%), books (30, 1.2%), book chapters (198, 8.3%), conference papers (119, 5%), editorials (39, 1.6%), errata (6, 0.2%), letters (13, 0.5%), notes (32, 1.3%), reviews (111, 4.6%), and short surveys (10, 0.4%). This information is derived from a total of 2378 documents collected for analysis. In the second decade, there was a 14% increase in the literature ratio compared to the first decade, while the third decade saw a 51.8% rise in the publication ratio relative to the first decade, based on the same total of 2378 publications. Specifically, the first decade accounted for 6.7% of the documents, the second decade for 20.6%, and the third decade for 72.5%.Conclusion: Excellence in academic writing can be achieved by several means. It involves developing a positive attitude towards academic writing, which includes a commitment to producing high-quality work. By adopting these qualities, writers striving for academic excellence can create work that meets the highest academic writing standards and significantly advance knowledge. Keywords: Academic writings, academic attitude, academic excellence, higher education, plagiarism, literary world, andacademic performance.

A new proposal of simplified classification of non-small cell lung cancer oligometastases for easy applicability through systematic literature analysis and meta-analysis validation

IntroductionOligometastasis (OM) exhibits wide range of prognosis, which necessitates appropriate classification for optimal therapeutic decision-making. Complementing the ESTRO-EORTC classification which lacked prognostic differentiation and was rather complex, we propose a new and simpler classification based on systematic literature analysis and meta-analysis validation. MethodThe databases were searched up to April 2024. Inclusion criteria were (1) ≥ 10 Non-small cell lung cancer OM patients, (2) local ablative treatment (LAT) versus control (systemic/supportive treatment), (3) reporting progression free survival (PFS) or overall survival (OS), respectively. A simpler classification was proposed through systematic reviews evaluating outcomes based on OM characteristics. According to this new classification, the LAT benefit and pooled 2-year OS and 1-year PFS percentiles were validated through meta-analysis. ResultsIn overall meta-analysis, LAT was correlated with enhanced 1-year PFS (odds ratio (OR):3.487, p < 0.001) and 2-year OS (OR:2.984, p < 0.001), respectively. According to simplified classification, LAT benefit of 1-year PFS was differentiated with ORs of 5.631 (p < 0.001), 3.484 (p < 0.001), and 1.702 (p = 0.067) for Synchronous (Syn), OPS (Oligopersistence), and OPR (Oligoprogression/recurrence) subgroups, respectively. Inter-subgroup comparisons showed significant differences as well. For 2-year OS, ORs of LAT benefit were 3.366 (p < 0.001), 3.355 (p < 0.001), and 1.821 (p = 0.127) in Syn, OPS, and OPR subgroups, respectively; LAT benefit was significant in Syn and OPS, but not significant in OPR. In pooled percentile comparison, 1-year pooled PFS was significantly lower in the OPR group than others, both in the LAT and control arms. ConclusionBased on a systematic literature analysis and meta-analysis validation, we developed a simpler three-step OM classification: Syn, OPS, and OPR. We would propose this new classification that is simpler and more applicable to clinical decisions than the currently available classification.

Insights and challenges of sustainable project management implementations in construction sectors: Systematic literature analysis

The construction industry is a significant contributor towards global environmental degradation and resource depletion, with developing economies facing unique challenges in adopting sustainable construction practices. This systematic review aims to investigate the gap in sustainable construction implementation among global counterparts. The study utilizes the P5 (People, Planet, Prosperity, Process, Products) Standard as a framework for evaluating sustainable construction project management based on environmental, social, and economic targets. A Systematic Literature Review from a pool of 994 Sustainable Construction Project Management (SCPM) papers is conducted utilizing the PRISMA methodology. Through rigorous Identification, Screening, and Eligibility Verification, an analysis is synthesized from 44 relevant literature discussing SCPM Implementations worldwide. The results highlight significant challenges in three main categories: environmental, social, and economic impacts. Social impacts are found as the most extensively researched, while environmental and economic impacts are less studied. Further analysis reveals that social impacts are a major concern in sustainable construction, with numerous studies addressing labor practices and societal well-being. However, there is a notable gap in research on human rights within the construction industry. Environmental impacts, such as resource utilization, energy consumption, and pollution, are less frequently addressed, indicating a need for more focused studies in these areas. Economic impacts, including local economic impact and business agility, are further substantially underrepresented in the literature, suggesting that economic viability is a critical yet underexplored aspect of sustainable construction. The findings underscore the need for further research in these areas to address the implementation challenges of sustainable project management effectively. This research contributes towards the overall research of global sustainable construction through the utilization of the P5 Standards as a new lens of determining sustainability performance for construction projects worldwide.

Occupational Exposure and HIV Prevalence among Healthcare Workers: Risks, Prevention, and Management Strategies

Healthcare workers (HCWs) are at heightened risk of occupational exposure to HIV due to their frequent interaction with blood and bodily fluids. This exposure led to potential HIV transmission if not managed promptly and effectively. This review provided a comprehensive examination of the risks associated with HIV exposure among HCWs, exploring the prevalence of such incidents, and evaluating current prevention and management strategies. Key risks included needlestick injuries and blood splashes, with prevalence varying significantly by region, particularly in areas with high HIV burden. Prevention strategies encompassed adherence to standard precautions, use of safety-engineered devices, comprehensive training, and the provision of post-exposure prophylaxis (PEP). Effective management involved immediate post-exposure assessment, timely administration of PEP, regular follow-up care, and access to counseling services. The review synthesizes recent research and clinical evidence, utilizing a systematic analysis of literature and guidelines to inform best practices in HIV risk management for HCWs. By addressing these strategies, the review aimed to enhance safety protocols and improve health outcomes within healthcare settings. Keywords: Occupational Exposure, Healthcare Workers, HIV Prevention, Post-Exposure Prophylaxis (PEP), Infection Control.

Role of Arbuscular Mycorrhizal Fungi in Alleviating Salinity Stress and Improving Physiological Parameters of Wheat (Triticum aestivum L.): A Review

Salinity stress poses a significant threat to global wheat production, impacting crop yield and food security. In recent years, Arbuscular Mycorrhizal Fungi (AMF) have gained attention as potential bioinoculants capable of mitigating salinity-induced stress and improving plant physiological parameters. This review provides a comprehensive examination of the role of AMF in alleviating salinity stress and enhancing physiological parameters in wheat (Triticum aestivum L.). Through a systematic analysis of relevant literature, we explore the mechanisms underlying the beneficial interactions between AMF and wheat under saline conditions. Key findings from various studies demonstrate that AMF colonization enhances wheat growth, nutrient uptake, and antioxidant enzyme activities, while reducing the adverse effects of salinity stress. However, challenges such as variability in AMF effectiveness and compatibility with modern agricultural practices persist. Future research directions should focus on refining AMF inoculation techniques and developing strains with enhanced salt tolerance to maximize their potential in sustainable agriculture. Overall, this review underscores the promising role of AMF in revolutionizing wheat cultivation in saline environments, offering insights for enhancing crop productivity and resilience to salinity stress.

Exploring the therapeutic effects of Moringa Oleifera on inflammation and chronic diseases

Background: The inflammatory process is an immune system response to injuries, infections, or harmful stimuli. Chronic Diseases are diseases that are mostly immune-mediated by inflammatory mediators, and according to the World Health Organization, these diseases represent 74% of the causes of death in the world. Moringa oleifera (M. oleifera), is a versatile plant rich in bioactive compounds, has garnered attention for its potential therapeutic properties. Objective: this study aims to investigate the anti-inflammatory properties of M. oleifera and its potential influence on chronic diseases as well. Methods: This review was performed based systematic analysis of literature. Results: Anti-inflammatory activity was observed through the reduction in levels of IL-1, IL-6, IL-10, TNF-alpha, prostaglandin E2, and COX-2. Additionally, anti-hyperglycemic effects, normalization of lipid profiles, regeneration of hepatocytes and pancreatic beta cells, and a reduction in the concentration of reactive oxygen species were also described. Conclusion: These findings support the use of the M. oleifera plant as an effective treatment for diseases/disorders associated with inflammation.

Analisis Literatur Tentang Model Pembelajaran Problem Based Learning Dalam Meningkatkan Hasil Belajar Ilmu Pengetahuan Alam

The problem based learning model is an approach proposed to improve students' natural science learning outcomes. This study aims to investigate the influence of PBL on science learning outcomes in elementary schools through systematic literature analysis. The literature study method was used to analyze ten scientific articles related to PBL and science learning outcomes in elementary schools. The results of the analysis show that PBL is effective in stimulating interest in learning, strengthening critical thinking skills, and improving problem-solving abilities in a scientific context. The implication of this research is the need for support in training and professional development for educators, as well as further research to identify key factors that influence the success of PBL implementation. The integration of PBL into the science education curriculum needs to be strengthened through collaboration between education stakeholders. Thus, the use of PBL is expected to improve students' science learning outcomes in a holistic and sustainable manner.

Systematic Literature Analysis of the on the Difficulty Policy of the English Language in the College Scholastic Ability Test(CSAT): From 1993 to 2022, focusing on domestic journals

Systematic Literature Analysis of the on the Difficulty Policy of the English Language in the College Scholastic Ability Test(CSAT): From 1993 to 2022, focusing on domestic journals

The Relevance of Curriculum for Pre-Service Teachers in Addressing Dynamic Classroom Changes in South Africa

In South Africa, the educational landscape is characterised by constant evolution and dynamic classroom changes, driven by technological advancements, diverse student populations, and evolving pedagogical approaches. Pre-service teachers are crucial in navigating these changes and fostering effective learning environments. This systematic literature analysis explores the relevance of curriculum for pre-service teachers in addressing the challenges posed by dynamic classroom contexts in South Africa. Drawing upon a comprehensive review of existing literature, this study examines the alignment between pre-service teacher education curricula and the evolving needs of classrooms in South Africa. Key themes explored include integrating technology, cultural responsiveness, inclusive education practices, and pedagogical flexibility. The analysis also considers the efficacy of current pre-service teacher training programmes in preparing teachers to meet the diverse needs of students in dynamic classroom settings. Furthermore, the study investigates the perceptions and experiences of pre-service teachers regarding the adequacy of their curriculum in equipping them for the realities of South African classrooms. By synthesising findings from various sources, this research aims to inform curriculum development efforts and enhance the preparation of pre-service teachers for the multifaceted challenges of teaching in South African schools.

Integrating Artificial Intelligence into the Supply Chain in Order to Enhance Sustainable Production—A Systematic Literature Review

Nowadays, integrating Artificial Intelligence (AI) into supply chains (SCs) is a great challenge in research and for manufacturing managers. The main goal of this study is to determine the role of AI in the context of the new SCs, according to the concept of Industry 5.0. in order to improve the level of sustainable production. The research was based on a systematic analysis of the scientific literature and application of the PRISMA methodology. Due to the relatively new vision of introducing AI into SC, it was decided to analyse the years 2021–2024. A total of 1181 research articles were identified in Science Direct, Springer and the Willey Online Library that combined AI-based methods and tools that support SCs in order to identify the impacts and challenges of integrating AI in SCs in the context of sustainable production (SP). In this study, 48 items were then analysed in detail. The results achieved highlighted the main AI-based tools applied in SCs and, secondly, revealed the main benefits of this integration for manufacturing in the following areas of manufacturing: predictive maintenance, production planning and customer relationships. The findings of our study revealed the main challenges and directions: (1) integrating digitalisation and green SP in order to build resilience to the SP, (2) create a sustainable work environment, (3) and develop a sustainable and advanced architecture for relationships with customers.

Sports Games in the Context of Developing Children’s Coordination Ability as a Component of Physical Development

The article explores how sports games and physical exercises influence the development of children’s coordination an essential aspect of their physical development. Its relevance is underscored by the current critical state of children’s health and the rising number of children with special needs. Today’s youth must become healthy individuals, integrating intellectual, moral, vocational and physical education. The article aims to define such concepts as “ability”, “coordination” and “coordination ability”, analyze existing literature on how physical exercises affect children’s coordination and examine the role of kinesiological exercises in enhancing children’s motor skills. Research methods include theoretical and systematic analysis of relevant scientific literature. As is known, physical activity plays a crucial role in the effective development of children’s coordination ability. This article analyzes those studies that underscore the significance of engaging in activities such as basketball, volleyball, rowing and choreography to improve it. It also examines the advantages of kinesiological exercises. A key insight of this research is that high coordination levels not only foster physical development but also enhance social and cognitive growth, thereby boosting children’s learning capabilities and their interactions with peers. Thus, it is vital to incorporate physical exercises into children’s routines, considering their age and individual needs.

Revisiting EntreComp through a systematic literature review of entrepreneurial competences. Implications for entrepreneurship education and future research

This study conducts a comprehensive review of entrepreneurial competences, utilising a systematic literature analysis encompassing 140 documents up to 2022. The primary objective is to critically examine the EntreComp framework, validating its structure and content through a meticulous comparison with competences identified in the literature. The findings confirm the robustness of EntreComp, emphasising the process-oriented nature of entrepreneurship, from opportunity identification to value creation. While EntreComp aligns with the majority of competences identified in the literature, certain nuances related to psychological and contextual factors, as well as practical considerations in current entrepreneurship practices, warrant attention. Furthermore, the study sheds light on the antecedents and developmental aspects of each competence, establishing a foundation for competence development informed by literature evidence. The paper also discusses the implications of the study's findings for entrepreneurship education, providing insights for the development of effective educational programs and suggesting avenues for future research in the field. Overall, this study contributes to advancing the understanding of entrepreneurship competences and their consideration in educational settings.