Search Results (45,964)

Artificial intelligence techniques have made notable progress in supporting learning processes, with increasing adoption across educational contexts. However, despite the increasing work on AI-assisted techniques, explicit and implicit learning mechanisms in AI educational assistants have not been systematically categorised. The study of how these techniques aid in and are implemented for learning remains underexplored. Therefore, a more systematic categorisation of how these techniques support learning through user interaction is needed. This paper presents a systematic review of 38 studies published between 2000 and 2024, spanning domains including programming education, cognitive skills, language learning, and the AI field. This review was conducted and reported in accordance with the PRISMA 2020 guidelines. In this review, we propose a taxonomy of explicit and implicit learning features. We analyse implementation aspects (e.g., knowledge representation, algorithms, and interaction modalities) and synthesise how prior work evaluates learning support capabilities. The findings show that (i) 79% of reviewed studies support explicit and 21% supported implicit learning through interaction; (ii) written interaction dominates (45%), followed by visualisation (34%), while voice-based interaction remains underrepresented (9%); (iii) some implementations lack details (e.g., knowledge bases and validation methods); and (iv) evaluation practices remain uneven, with most studies relying on experiment evaluation, highlighting the need for robust evaluation practices. Full article

The Hippo, as a central pathway regulating cell proliferation, apoptosis, stem cell homeostasis and organ development, is closely associated with the onset and progression of tumors, metabolic reprogramming, drug resistance and immune evasion when it is abnormally inactivated. The Hippo not only directly promotes tumor cell proliferation, maintains cancer stem cell properties, and mediates metabolic reprogramming and treatment resistance, but also reshapes the tumor microenvironment(TME) by regulating the formation, heterogeneity and function of cancer-associated fibroblasts (CAFs). Furthermore, it mediates tumor immunosuppression and immune evasion by modulating programmed death-ligand 1(PD-L1) expression, T-cell function, macrophage polarization and cytokine secretion. At the same time, inflammatory cytokines, growth factors, metabolites and physical signals within the TME can negatively regulate the activity of the Hippo, creating a pro-tumor positive feedback loop. This article provides a systematic review of the composition and regulation of the Hippo , its mechanisms of action in the biological behavior of tumor cells and interactions within the tumor microenvironment, as well as progress in the development of drugs targeting this pathway. It offers a theoretical basis for a deeper understanding of the role of the Hippo in tumors and for the development of novel anti-tumor therapeutic strategies. Full article

Background: Supply chain management (SCM) research has expanded across the Middle East and North Africa (MENA), yet the field remains fragmented. Limited synthesis exists on how regional conditions shape research themes, theories, and methods. Methods: This study applies the PRISMA 2020 protocol to review SCM articles indexed in Scopus and Web of Science from January 2000 to March 2025. After screening and eligibility assessment, 512 peer-reviewed studies were retained. Bibliometric mapping and thematic coding were used to identify publication trends, research streams, theoretical lenses, and methodological patterns. Results: SCM research increased sharply after 2015, reflecting national diversification agendas, logistics reform, digitalization, and exposure to global supply chain disruptions. Three dominant streams were identified: resilience, sustainability, and digital transformation. Research output is concentrated in Saudi Arabia and the United Arab Emirates, while cross-country comparative studies remain scarce. Empirical studies rely mainly on cross-sectional surveys and SEM-based analysis, with limited longitudinal, qualitative, mixed-method, and comparative work across the region. Conclusions: The study develops an integrative SCM capability framework linking regional structural conditions, capability development, and supply chain outcomes. The findings support managers and policymakers seeking resilient, sustainable, and digitally enabled supply chains, and define clear future research priorities for the MENA region. Full article

The X-minute city has gained prominence as a planning paradigm for promoting sustainable local living, yet its operationalisation remains methodologically heterogeneous. This paper conducts a systematic review (Scopus, last search 4 March 2026) of 45 quantitative, proximity-based studies to examine how modelling decisions shape X-minute city assessments. Using reflexive thematic analysis, this review shows that proximity “as-modelled” is not an inherent property of urban space but a construct produced through a sequence of interdependent decisions concerning: analysis scope; functional inclusion; analysis approach; spatial representation; modelling variables; and assessment logic. These decision cascades, often implicit or inconsistently reported, generate substantial variation in results and limit the comparability and transferability of existing X-minute city analyses. The paper identifies connections between decision domains, examines how upstream assumptions influence downstream analytical possibilities, and highlights dominant modelling pathways and methodological divergences. Beyond proposing future directions (e.g., use of multi-threshold scenarios, equity-sensitive parameters, hybrid data strategies, and uncertainty/sensitivity reporting), the study provides a grounded baseline framework and guidance for documenting modelling processes. This research ultimately supports more transparent, reproducible, and context-sensitive proximity assessments, thereby contributing both conceptually and practically to the robustness and policy relevance of X-minute city studies. Full article

The application of rheological modeling in polyolefin-based systems has gained increasing attention in the context of sustainable materials and circular economy strategies. In particular, the use of recycled polyolefins reinforced with lignocellulosic fillers presents significant opportunities, but also introduces challenges associated with structural heterogeneity, degradation, and variability in processing behavior. Despite rheology’s central role in linking structure, processing, and properties, its use as a predictive tool in recycled systems remains insufficiently systematized. This work presents a systematic review conducted according to PRISMA guidelines to analyze the use of rheological models in polyolefin-based systems, with particular emphasis on their applicability to recycled materials and composite formulations. We analyze 50 studies using a structured data extraction protocol. The results show that rheological modeling approaches can be organized into a hierarchical framework ranging from indirect flow parameters and generalized Newtonian fluid models to viscoelastic, structural, multiscale, and hybrid approaches. However, these approaches are not evenly distributed across system types. Advanced models are predominantly applied to compositionally controlled systems, whereas recycled and post-consumer polyolefins are mainly addressed using simplified models or experimental characterization. The analysis further indicates that rheology is primarily used for data fitting and process simulation, with limited application as a predictive tool for material formulation. Quantitative trends reported in the literature indicate that filler incorporation typically increases viscosity by approximately 20–200%, depending on filler content, dispersion quality, and interfacial interactions. However, variability in experimental conditions and material heterogeneity significantly limits cross-study comparability. From a mechanistic perspective, the main limitation lies not in the availability of rheological models but in their adaptability to heterogeneous systems characterized by variable composition, degradation, and limited experimental accessibility. This review identifies a gap between the development of rheological models and their application in recycled polyolefin systems. Future progress on eco-composite design will require further development of integrative approaches that balance physical insight, predictive capability, and experimental feasibility. In this context, rheology should be repositioned from a post-characterization technique to a central tool for the design and optimization of sustainable polymer composites. From an applied perspective, these findings support the use of rheological parameters as practical indicators for guiding formulation strategies and optimizing processing conditions in recycled polyolefin-based materials. Full article

Champereia manillana (Bl.) Merr. var. longistaminea is an evergreen small tree. It belongs to the genus Champereia Griff. (Opiliaceae), and its tender leaves or flower buds can be eaten. It also has important medicinal and nutritional values. Wild populations of C. manillana are small and has a phenomenon of deforestation. Market development is hindered by propagation constraints, including low seed germination rates and poor rooting of cuttings. Standardized cultivation protocols are currently lacking. This paper systematically reviews the current status of propagation and cultivation research on C. manillana and analyzed the primary challenges. Recent research indicated that seed germination obstacles had been preliminarily overcome, and 50% shading was identified as the optimal cultivation condition. However, challenges remain, including slow growth, lack of standardized water and fertilizer management, and unclear molecular mechanisms regulating development. Future research should focus on improving vegetative propagation efficiency, elucidating growth mechanisms via multi-omics, and establishing standardized cultivation protocols from breeding to harvest. These strategies are essential for the sustainable utilization of C. manillana resources. Full article

Background/Objectives: Coronary artery ectasia (CAE) presents challenges, specifically in the context of percutaneous coronary intervention (PCI), and has been associated with adverse events, particularly in the setting of acute myocardial infarction (AMI). The objective of the present study was to assess whether CAE is associated with increased occurrence of major adverse cardiovascular events (MACEs) in patients with AMI. Methods: A systematic review and meta-analysis of observational studies were conducted. We systematically searched MEDLINE via PubMed, Scopus, the Cochrane Library (CENTRAL), ClinicalTrials.gov, and reference lists to identify eligible studies. Baseline characteristics, comorbidities, angiographic data, and rates of MACEs and their individual components (all-cause or cardiovascular mortality, repeat AMI, repeat revascularization, stroke, and heart failure) have been extracted. The results were synthesized as odds ratios (ORs) using random-effects models. Results: Ten studies and 13,908 patients were included. CAE was found to be predictive of higher odds of MACEs [OR: 2.12, 95% CI: 1.34 to 3.36]. No difference was found regarding the odds of all-cause and cardiac death. The presence of ectasia was associated with higher odds of recurrent AMI, compared with controls [OR: 2.76, 95% CI:1.62 to 4.71]. The groups were comparable regarding the need for repeat revascularization, while the reports on stroke and heart failure were scarce. Conclusions: The results highlight the compounding effect of CAE on future MACE events in patients with AMI. Patients with AMI and CAE have higher odds of repeat AMI compared to patients without CAE, while mortality and repeat revascularization rates are similar. This might indicate the need for more aggressive treatment strategies in these patients. Full article

Background: Denture stomatitis is strongly associated with Candida biofilms on prosthetic surfaces and remains difficult to manage due to biofilm persistence and antifungal resistance. Selenium-based nanomaterials, particularly biogenic selenium nanoparticles (SeNPs) functionalized with natural polymers or phytochemicals, have emerged as potential material-centered strategies for biofilm control. Objective: To systematically evaluate the antifungal and antibiofilm effects of selenium-based nanomaterials on Candida biofilms in the context of denture materials. Methods: A systematic review was conducted in accordance with the PRISMA guidelines and registered in PROSPERO. Multiple databases were searched from inception without language restrictions. Eligible studies included experimental investigations of biogenic or functionalized SeNPs or organoselenium compounds targeting Candida biofilms on denture materials or in relevant in vitro models. A qualitative synthesis was performed due to anticipated heterogeneity. Results: Eleven studies met the inclusion criteria. Of these, four studies directly evaluated selenium-based interventions on denture materials, while seven provided supporting mechanistic evidence using in vitro models on non-denture substrates. Across denture-related studies, selenium-based modifications reduced fungal adhesion, biofilm biomass, and colony-forming units, without detrimental effects on material properties. Functionalization with polymers or phytochemicals was associated with enhanced antifungal activity and nanoparticle stability. Mechanistic studies suggested multimodal antifungal effects, including membrane disruption, inhibition of virulence factors, and modulation of biofilm-related pathways. Methodological quality was moderate, with common limitations in reporting and experimental standardization. Conclusions: Functionalized biogenic SeNPs show promising antifungal and antibiofilm activity against Candida in preclinical denture-related models. However, all available evidence is in vitro, with no in vivo or clinical studies identified. Substantial heterogeneity and limited long-term safety data preclude clinical recommendations. Further research should focus on standardized methodologies, clinically relevant in vivo models, and controlled clinical trials to assess translational potential. Full article

Background: Healthcare inventory management is critical for ensuring timely access to supplies and reducing stockouts. As supply chains grow more complex, algorithms, AI, and analytics techniques have emerged as tools for forecasting, tracking, classification, and procurement. Yet empirical validation across diverse contexts remains inadequate, and existing reviews treat these approaches as separate streams rather than an integrated system. Methods: To evaluate these capabilities, a systematic review of 64 peer-reviewed articles published between 2011 and 2025 was conducted using a descriptive and content analysis approach on the use of Triple A (Analytics, AI, and Algorithms) techniques in inventory frameworks across various healthcare contexts, such as hospitals, pharmaceutical supply chains, and humanitarian supply chains. Results: Integrating multiple Triple A approaches consistently outperforms single-method strategies, particularly with RFID and IoT tools. Key findings often overlooked are: emergency procurement and classification, which remain neglected despite the highest patient safety stakes, and key procurement drivers—organizational conditions, supplier reliability, and team capacity. Data quality, interoperability, and cybersecurity further constrain generalizability. Conclusions: Bridging these gaps requires integrated Triple A approaches rather than single methods. Phased implementation, cloud-based platforms, and privacy-by-design offer practical pathways for building resilience under real-world constraints. Full article

Conductive hydrogels have emerged as promising candidates for flexible strain sensors owing to their high water content, low elastic modulus, and intrinsic ionic conductivity. However, conventional hydrogel networks often suffer from an inherent trade-off among conductivity, mechanical robustness, and long-term stability, which limits their practical deployment in wearable sensing scenarios. The introduction of metal–ligand coordination bonds into hydrogel networks offers a versatile strategy to address these challenges: dynamic coordination cross-links can dissipate energy under deformation and reform upon unloading, thereby enhancing toughness, enabling self-healing, and contributing to ionic transport. This review focuses on metal-ion-coordinated conductive hydrogels designed for strain-sensing applications. Representative coordination systems based on Fe³⁺, Ca²⁺, Zn²⁺, Al³⁺, Cu²⁺, Ti⁴⁺, and Zr⁴⁺ are surveyed, with emphasis on their characteristic polymer matrices, ligand chemistries, and network-construction strategies. Key sensing-relevant properties—including ionic conductivity, mechanical stretchability, self-healing capability, interfacial adhesion, freezing resistance, and resistance to dehydration—are discussed in relation to coordination network design. Typical application demonstrations in large-deformation motion monitoring and subtle physiological signal detection are reviewed. Unlike existing reviews that survey conductive hydrogels broadly by conductive mechanism or sensor type, this review takes metal-ion coordination as the central organizing principle and systematically traces its influence across the full design chain—from ion–ligand coordination chemistry through network architecture to macroscopic sensing output. By comparatively analyzing seven representative metal-ion systems within a unified framework, this work aims to clarify how the choice of metal ion governs the interplay among conductivity, mechanical robustness, self-healing, and strain sensitivity—a perspective that has not yet been systematically addressed in prior reviews. Finally, current challenges—including the conductivity–mechanics coupling bottleneck, insufficient long-term stability, biosafety concerns for skin-contact deployment, the lack of standardized evaluation protocols, and device-integration barriers—are identified, and future directions for this field are outlined. Full article

Electro-optic frequency combs (EOFCs), generated through the microwave-driven modulation of continuous-wave lasers, have emerged as a highly reconfigurable and system-compatible class of optical frequency combs with growing importance in microwave photonics, coherent communications, spectroscopy, and precision metrology. In contrast to mode-locked lasers and Kerr microresonator combs, EOFCs offer electrically programmable repetition rates, deterministic phase coherence, and intrinsic compatibility with radiofrequency electronic systems, making them particularly attractive for integrated and application-oriented implementations. As EOFCs evolve toward broader bandwidths, lower power consumption, and full on-chip integration, their achievable performance is increasingly constrained by the interplay between electro-optic physical mechanisms, modulator architectures, and material platform properties. This review establishes a unified analytical framework that systematically connects EOFC generation mechanisms, device configurations, key performance metrics, and platform-level limitations. We first summarize the fundamental electro-optic effects underpinning EOFC generation and analytically examine representative modulator architectures, including phase modulators, Mach–Zehnder modulators, and microresonator-based schemes, to clarify their respective comb-generation characteristics. Key performance determinants, such as modulation depth, bandwidth, electro-optic efficiency, and optical loss, are then discussed to elucidate their coupled influence on comb-line count, spectral flatness, output power, and phase noise. Subsequently, the performance of EOFCs implemented on major integrated platforms, including Silicon on Insulator (SOI), Indium Phosphide on Insulator (InPOI), Lithium Niobate on Insulator (LNOI), and Lithium Tantalate on Insulator (LTOI), is comparatively reviewed to highlight the material-dependent advantages and constraints. Finally, emerging directions based on heterogeneous integration and ferroelectric materials with ultrahigh electro-optic coefficients are discussed as promising pathways to overcome the current performance bottlenecks. This review provides clear physical insights and engineering guidance for the future development of high-performance, integrated EOFC systems. Full article

This systematic review examines the emerging interplay between ferroptosis and disulfidptosis, two distinct forms of regulated cell death (RCD) centered on the SLC7A11 (also known as xCT)-mediated metabolic paradox. Traditionally recognized as a potent anti-ferroptotic factor, SLC7A11 imports cystine for glutathione synthesis to neutralize iron-dependent lipid peroxidation. However, the discovery of disulfidptosis identifies SLC7A11 as a metabolic liability, representing a paradigm shift in our understanding of cellular antioxidant defense. This discovery reveals a transformative vulnerability in SLC7A11-overexpressing cells, shifting the focus from conventional survival mechanisms to the consequences of catastrophic structural collapse. Beyond metabolic exhaustion, this review highlights the role of metal dyshomeostasis as a primary driver, spanning from iron-catalyzed ferroptosis to copper-mediated metabolic interference. This conceptual framework redefines the SLC7A11 axis as a targetable “double-edged sword” in therapy-resistant malignancies. Clinical synthesis of multi-omic gene signatures, such as the disulfidptosis- and ferroptosis-related gene prognostic score (DRGPS) and the ferroptosis- and disulfidptosis-related gene (FDRG) scores, demonstrates their robust value in prognostic stratification and in predicting immunotherapy response across malignancies, including lung adenocarcinoma and hepatocellular carcinoma. Furthermore, we evaluate the capacity of disulfidptosis to prime immunogenic cell death (ICD) and remodel the immunosuppressive tumor microenvironment to bypass chemoresistance. By integrating mechanistic insights with clinical data, this review provides a comprehensive framework for targeting the SLC7A11 axis as a transformative therapeutic vulnerability in precision oncology. Full article

Fluorosis, a systemic condition caused by chronic excessive fluoride intake, poses significant threats to livestock health and agricultural productivity worldwide. This systematic review synthesizes current evidence on the modulatory effects of exercise against fluorosis, integrating human studies, animal experiments, and methodological considerations. Human studies indicate negative associations between fluoride exposure and cognitive development, muscle function, and exercise capacity, with exercise influencing fluoride pharmacokinetics in an exercise-intensity-dependent manner. Animal experiments consistently demonstrate that regular moderate-intensity exercise attenuates fluoride-induced damage across multiple organ systems through activation of the Nrf2/ARE antioxidant pathway, modulation of BMP-2/Smads and OPG/RANKL/RANK signaling, suppression of inflammatory responses, and preservation of intestinal barrier integrity. Substantial heterogeneity exists among current fluorosis models regarding exposure dosages, durations, and exercise protocols, underscoring the need for standardization and consideration of genetic background. Overall, exercise shows promise for mitigating fluorosis-induced multi-organ damage, although human evidence remains limited. Future research should prioritize model optimization, elucidation of molecular targets, and exploration of synergistic interventions to provide a foundation for veterinary clinical management. Full article

Brucellosis remains one of the most widespread zoonotic infections worldwide, causing serious veterinary, medical, and socio-economic consequences. The disease, caused by bacteria of the genus Brucella, affects a wide range of domestic and wild animals as well as humans, with global incidence potentially reaching 1.6–2.1 million new cases annually. The most effective approach to combating brucellosis is specific prevention through vaccination. Therefore, we conducted this review to summarize data from existing studies on modern strategies for brucellosis vaccination, types of vaccine platforms, their efficacy, safety, and applicability in veterinary and human medicine. We searched databases including PubMed, Scopus, and Web of Science to identify relevant scientific articles in English published from 1990 to 2025. The aim of this work is to conduct a systematic analysis of modern brucellosis vaccination strategies in livestock and humans, as well as to evaluate the prospects of new vaccine platforms. The review examines live attenuated, inactivated, subunit, vector, and DNA vaccines, as well as their immunological mechanisms of action, advantages, and limitations of application. This information allows for a better understanding of the mechanisms of protective immunity formation and challenges related to DIVA diagnostics (Differentiating Infected from Vaccinated Animals). The “One Health” concept demonstrated the interconnection between human, animal, and environmental factors, emphasizing the need for an interdisciplinary approach to brucellosis monitoring, prevention, and control. Vector vaccines based on influenza virus (Flu-BA), developed in Kazakhstan, have shown high promise, combining immunogenicity, protective efficacy, and a favorable safety profile. Promising directions remain mRNA vaccines, nanoparticles, CRISPR/Cas9 technologies, and mucosal vaccines. Full article

With globalization and rapid changes in the international research environment from technological advancement, political instability, and economic crisis, knowledge management (KM) is crucial to help research institutions operate international research collaboration (IRC) effectively and sustainably. This study uses systematic literature review to extract key KM factors for IRC enhancement. Exploratory factor analysis and structural equation modeling methods are performed to confirm KM factors and explore how key KM and IRC factors relate to each other. Several KM strategies are established based on study results to achieve sustainable IRC development. The results show that five key KM factors, including knowledge sharing (KS), knowledge creation (KC), knowledge retention (KR), knowledge storage (KT), and knowledge utilization (KU), influence each other. They have both direct and indirect impacts on IRC. The KU factor is crucial for immediate IRC improvement. Research institutions can use existing knowledge and resources to address current IRC opportunities. For example, personnel with IRC experience can act as coaches and mentors to facilitate activities, and integrating IRC into career paths can be beneficial. Activities related to KC, KR, and KT should support KU implementation. Setting up a task force, improving organizational structure, and engaging management in KM can help achieve better IRC performance. The KS factor should be emphasized for sustaining IRC. The plan should involve activities to raise the processes of knowledge sharing effectively. The study results provide guidelines for research institutions aiming for sustainable IRC in the long term. Full article