Search Results (442)

Artificial intelligence (AI) tools are increasingly integrated into mathematics education, yet most reviews emphasize achievement rather than how AI shapes mathematical thinking. This scoping review mapped literature published between 2020 and 2026 on AI-supported mathematics learning through three cognition frameworks: APOS (Action–Process–Object–Schema), Sfard’s process–object duality and reification, and Conceptual Image theory. Searches were conducted in Scopus, Web of Science, ERIC, PsycINFO, Education Source, and IEEE Xplore, followed by duplicate removal and Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR)-aligned screening. Twenty-one peer-reviewed studies met inclusion criteria (18 empirical studies plus three theoretically oriented studies). Evidence growth accelerated after 2022, with most studies situated in secondary and higher education. Large language models (LLMs) and Intelligent Tutoring Systems (ITS) were the most frequently investigated modalities. Across studies, AI commonly supported theoretically inferred action-level execution and procedural management (APOS) via adaptive feedback, hinting, and stepwise scaffolding, and it often broadened learners’ conceptual images through multiple representations and generated explanations. However, these interpretations were necessarily cautious, because very few studies directly operationalized theory-linked conceptual mechanisms such as process internalization, object encapsulation, reification, or alignment between conceptual images and formal definitions. In LLM-supported contexts, gains in explanation quality coexisted with risks of procedural outsourcing when students relied on generated solutions without prior reasoning. By contrast, ITS-based environments more often supported tightly structured procedural engagement, suggesting that different AI modalities afford different forms of cognitive support and risk. Overall, AI’s conceptual impact appears to depend less on tool availability and more on instructional orchestration (task design, prompting, and teacher mediation). The findings also suggest that sustainability-related dimensions—particularly learner agency, transparency of AI support, and equitable participation—are closely connected to whether AI use promotes durable conceptual learning rather than superficial performance gains. Future research should operationalize cognitive transitions, assess structural understanding, and report AI-use conditions transparently to support cumulative, theory-driven synthesis. Full article

The production of cultivated meat relies on in vitro animal cell growth and requires the use of scaffolds that structurally resemble key features of the extracellular matrix (ECM), providing mechanical support and biochemical cues for cell adhesion, proliferation, and differentiation. Electrospinning has emerged as a promising technique for manufacturing three-dimensional edible scaffolds because it is robust, versatile, and capable of producing nanofibers with a high surface area-to-volume ratio, tunable porosity, and ECM-like fibrous architectures. Natural biopolymers are promising candidates for the fabrication of electrospun scaffolds, combining biocompatibility, biodegradability, and processing compatibility with food-grade requirements. However, the absence of fully food-grade electrospinning systems, coupled with limited scalable green-processing strategies, remains a critical barrier to industrial translation. In this context, this review presents recent advances in the food-grade electrospinning of natural biopolymers focused on cultivated meat production. Furthermore, scientific gaps in the development of fully edible scaffolds are discussed, along with the need for alternatives to animal-derived materials and synthetic carrier polymers, considering sustainability, consumer acceptance, and the translation from laboratory-scale studies to industrial systems. Finally, this review outlines a strategic roadmap to accelerate the transition from proof-of-concept studies toward scalable, regulatory-compliant, and industrially viable electrospinning technologies for cultivated meat production. Full article

Soft tissue reconstruction often requires biomaterials that provide temporary mechanical support while permitting vascular integration and tissue remodeling. In reconstructive breast surgery, these demands converge within a uniquely challenging environment characterized by large surface areas, variable perfusion, frequent exposure to radiation, and reliance on prosthetic implants. Consequently, breast reconstruction serves as a clinically relevant model for evaluating the performance and limitations of soft tissue scaffolds. Acellular dermal matrices (ADMs) were introduced to provide biologically derived reinforcement capable of host integration and neovascularization. Although ADM has transformed implant-based reconstruction, clinical experience has revealed important limitations, including variability in mechanical properties, inconsistent vascularization, susceptibility to fibrosis, and suboptimal performance in compromised tissue beds. These challenges have driven increasing interest in synthetic polymer scaffolds engineered for reproducible mechanics, controlled degradation, and scalable manufacturing. This narrative review examines the evolution from ADM to synthetic and hybrid scaffold systems in breast reconstruction. We discuss how scaffold architecture, thickness, porosity, and degradation kinetics influence angiogenesis, immune response, and mechanical load transfer during healing. Hybrid strategies that incorporate selective bioactivity within synthetic frameworks are also explored, highlighting their translational promise and current limitations. These principles are particularly relevant in implant-based breast reconstruction, where scaffold performance directly influences complication rates, implant stability, and long-term outcomes. Collectively, breast reconstruction serves as a rigorous translational model demonstrating that optimal soft tissue scaffolds must balance vascular permissiveness, mechanical reliability, and predictable resorption to optimize reconstructive success and guide future biomaterial innovation. Full article

Background/Objectives: The rapid emergence of antimicrobial resistance (AMR) is driven not only by antibiotic selective pressure but also by bacterial adaptive responses that enhance genetic diversification under stress. The SOS response, regulated by the RecA-LexA axis, plays a central role in coordinating DNA repair, mutagenesis, and phenotypic adaptation. Targeting this pathway represents a promising strategy to limit bacterial adaptability without directly affecting viability. This study aimed to evaluate benzoxaborole-based compounds as potential inhibitors of the LexA regulatory pathway. Methods: A drug repurposing approach was employed to investigate the benzoxaborole scaffold and the clinically approved derivatives tavaborole and crisaborole. Biochemical assays were used to assess LexA autocleavage in a RecA-dependent co-protease system. Molecular docking analyses were performed to evaluate compound binding within the LexA catalytic site. Microbiological assays were conducted to examine the effects on antibiotic-induced filamentation and biofilm formation under different growth conditions. Results: Selected benzoxaboroles inhibited LexA autocleavage, with tavaborole showing the strongest inhibitory profile in the biochemical assay. Docking analyses supported these findings, indicating stable binding within the LexA catalytic site near the catalytic serine residue. At the cellular level, tavaborole and benzoxaborole significantly reduced levofloxacin-induced filamentation at sub-inhibitory concentrations. Both compounds also decreased biofilm formation under nutrient-limited conditions, while no significant effects were observed on preformed biofilms. Crisaborole showed limited cellular activity despite measurable biochemical effects. Conclusions: These findings identify benzoxaboroles as modulators of the LexA-dependent SOS response and support the potential repurposing of clinically approved compounds as adjuvants to limit bacterial adaptive responses associated with antimicrobial resistance. Full article

Reflective practice is an essential component of initial teacher education (ITE) programs in Australia that supports the development of preservice teachers’ responsive decision-making, planning, and ongoing professional growth. Yet, many preservice teachers continue to produce reflections that are descriptive, superficial, or disconnected from evidence of their practice. In response to this challenge, this study examines how mentor teachers support preservice teachers’ professional learning through reflection on video captures of their own teaching. Applying a qualitative study design, data collected using online surveys with mentor teachers indicate that retrospective video analysis enables mentors to identify pedagogically significant moments for reflection that support evidence-based dialogue. Video functions as a teaching microscope, requiring mentors to adjust the focus, direct preservice teachers’ attention, and scaffold their interpretation of what is observed. However, practical and systemic barriers significantly impact sustained implementation. This study highlights the potential of teacher mentors’ use of retrospective video analysis in ITE to enhance preservice teachers’ reflective practice, offering insights into how this approach can be effectively incorporated and scaled. Full article

As modern society grows increasingly complex, access to essential services such as healthcare, legal aid, tailored education, and psychological support remains heavily gated by socio-economic, neurological, and systemic barriers. This paper explores the transformative potential of Large Language Models (LLMs) and Generative Artificial Intelligence not merely as industrial productivity enhancers, but as vital “social scaffolds” capable of fostering a more inclusive society. Crucially, we propose a paradigm shift in the concept of Ethical Computing—moving from a passive defensive framework of non-maleficence (“do no harm”) to an active mandate of beneficence, where AI systems are explicitly developed to serve marginalized and un(der)served populations. Through this expanded ethical lens, we systematically analyze the democratizing impact of AI across four primary axes of inclusivity: socio-economic (providing zero-cost medical triage and legal translation for undocumented populations), neurospicy (acting as a non-judgmental communicative bridge for individuals with Autism Spectrum Disorder), pedagogical (delivering hyper-personalized executive function support for Special Educational Needs), and psychological (serving as an accessible, first-level triage system for mental health crises). By framing LLMs as a modern social safety net, we outline a clear trajectory for future research, advocating for an “ethical-by-design” development paradigm that explicitly prioritizes equity, accessibility, and the active dismantling of historical barriers for the digitally and socially disenfranchised. Full article

Plants of the genus Salacia (Celastraceae) have long been used in traditional medical systems of South and Southeast Asia for the management of diabetes and related metabolic disorders. Modern phytochemical and pharmacological studies have confirmed the antidiabetic potential of several Salacia species, leading to the identification of a distinctive group of sulfur-containing sugars as their principal bioactive constituents. Salacinol, neosalacinol, kotalanol, neokotalanol, and related analogues represent a novel class of thiosugar sulfonium compounds that act as potent and selective α-glucosidase inhibitors, providing a clear mechanistic basis for their glucose-lowering effects. Simpler thiosugars, such as 5-thiomannose, further contribute to the overall metabolic activity of Salacia extracts and may serve as biosynthetic or functional precursors. Beyond Salacia, sulfur-containing natural products are widespread in nature and perform diverse biological roles. In particular, the genus Allium is well known for producing organosulfur compounds, including thioethers and polysulfides, which exhibit antidiabetic, hypolipidemic, antioxidant, and cardioprotective activities. In a different context, sulfur-containing hopanes have been identified in sediments and petroleum as products of early diagenetic sulfurization of bacterial hopanoids. Although these compounds have been studied primarily as geochemical biomarkers, recent QSAR/PASS analyses suggest that sulfur hopanes may also possess biologically relevant activities, particularly related to metabolic and cardiovascular regulation. Recent PASS-based QSAR evaluations of Salacia-derived thiosugars and sulfur hopanes predict significant antidiabetic activity, including potential type 2 diabetes-related pharmacological effects, supported by predicted α-glucosidase inhibitory, hypoglycemic, hepatic, and gastrointestinal activities. Collectively, these findings highlight sulfur-containing natural products from both plant and sedimentary sources as chemically diverse yet functionally convergent scaffolds with promising potential for the development of functional foods and therapeutic agents targeting metabolic disorders. Full article

Diabetes mellitus is primarily caused by the loss or malfunction of insulin-producing β-cells, and although current therapies improve glycemic control, they do not restore physiologic insulin secretion. Advances in stem cell biology and organoid engineering have led to the development of pancreatic organoids and induced pluripotent stem cell (iPSC)-derived β-cells as promising platforms for disease modeling, drug testing, and regenerative medicine. Pancreatic organoids generated from ductal, acinar, or progenitor populations can recapitulate key anatomical and functional features of native pancreatic tissue, enabling studies of development, injury, and regeneration. In parallel, improvements in iPSC differentiation protocols have produced β-like cells capable of insulin secretion in response to glucose, although achieving full functional maturity remains a challenge. Bioengineering strategies, including biomaterial scaffolds, microfluidic platforms, endothelial co-culture systems, three-dimensional bioprinting, and CRISPR-based genome editing, have enhanced the stability, vascular compatibility, and functional performance of both organoid and iPSC-derived systems. Despite these advances, variability in differentiation efficiency, limited β-cell maturity, and poor long-term survival continue to hinder clinical translation. Together, pancreatic organoids and iPSC-derived β-cells represent complementary platforms that advance fundamental research and support the development of β-cell replacement therapies, with ongoing integration of bioengineering approaches expected to accelerate progress toward reproducible, scalable, and clinically relevant β-cell regeneration. Full article

Bone marrow(BM) is the primary site of hematopoiesis, supporting the self-renewal and differentiation of hematopoietic stem cells (HSCs). Its function depends on a highly complex microenvironment composed of stromal cells, vascular networks, extracellular matrix components, and dynamic biophysical signals. Traditional two-dimensional culture systems and animal models fail to adequately recapitulate the spatial architecture and dynamic regulatory processes of the human bone marrow niche, thereby limiting in-depth investigations into hematopoietic regulatory mechanisms, disease pathogenesis, and drug-induced bone marrow toxicity. In recent years, advances in microphysiological systems (MPS) have provided novel engineering approaches for the in vitro reconstruction of the bone marrow microenvironment. This review systematically summarizes current construction strategies for bone marrow MPS, including three-dimensional self-organized bone marrow organoids and microfluidic bone marrow-on-a-chip platforms. Particular attention is given to the roles of key cellular components, biomaterial scaffolds, vascularized architectures, and dynamic perfusion systems in biomimetic bone marrow engineering. In addition, we discuss strategies for constructing more complex models, such as vascular niches, vascularized bone tissue constructs, and bone metastasis models. Bone marrow MPS more faithfully recapitulate the hematopoietic microenvironment and provide a physiologically relevant in vitro platform for hematopoietic research, disease modeling, and drug evaluation, thereby supporting future advances in precision and regenerative medicine. Full article

This study examines how integrating Creative Problem Solving (CPS) and generative artificial intelligence (GenAI) within animation storytelling education can foster sustainability-related competencies in higher education. A twelve-week mixed-methods action research design was implemented in a “Storytelling and Scriptwriting” course at a university of technology in northern Taiwan (N = 60). The intervention design combined a CPS-aligned instructional sequence, six scaffolded assignments (including a text-to-image resemiotization task), pre–post CPS cognition and affect scales, CPS-dimensioned assignment self-assessments, reflective journals, and expert evaluations of final story prototypes using the Consensual Assessment Technique. Quantitative results showed significant gains in students’ CPS-related narrative cognition and affective resilience (p < 0.001), as well as consistently high self-reported engagement across CPS dimensions for all assignments, particularly for the text-to-image and personal narrative tasks. Expert ratings indicated high levels of originality, narrative coherence, emotional impact, and social relevance in final prototypes, while qualitative data highlighted reduced “blank page” anxiety, greater willingness to revise, and more collaborative, systems-oriented narrative reasoning. The findings suggest that a CPS- and GenAI-supported teaching model can function as a cognitive bridge for heterogeneous cohorts, positioning GenAI as a conditional amplifier embedded within a reflective CPS framework and helping to translate abstract sustainability-related competencies—such as anticipatory, normative, strategic, and interpersonal competencies—into concrete creative media practices. Full article

Traumatic brain injury (TBI) represents a significant global health challenge with limited effective treatments. The secondary injury phase, characterized by persistent neuroinflammation, is a major contributor to long-term neurological deficits. Conventional therapies face substantial hurdles, including the blood–brain barrier (BBB), short therapeutic windows, and poor neuroregenerative capacity. Innovative biomaterials offer a promising platform to overcome these limitations by providing localized Drug Deliv., immunomodulation, and structural support for neural regeneration. This review outlines the pathological mechanisms of neuroinflammation and repair obstacles following TBI. It then systematically categorizes and discusses the mechanisms of various biomaterials—including natural, synthetic, nano-scale, composite, and intelligent materials—in modulating neuroinflammation. Furthermore, we elaborate on strategies for promoting neural repair, such as constructing regenerative scaffolds, delivering therapeutic agents (e.g., neurotrophic factors, stem cells, and exosomes), and remodeling the regenerative microenvironment. Special emphasis is placed on the emerging application of exosome delivery systems. Finally, we address the challenges in clinical translation and present future perspectives on smart materials, multi-modal systems, and personalized therapies, highlighting the transformative potential of biomaterials in TBI management. Full article

Chronic wounds are ulcers unable to heal due to vascular insufficiency, diabetes, or obesity. Adipose-derived stromal cells (ASCs) are promising candidates for regenerative therapies owing to their pro-healing and angiogenic properties. Compared with autologous approaches, allogeneic ASC therapies offer the opportunity for off-the-shelf use, enabling immediate availability, standardized qualification, and consistent potency. Gelatin sponges have been shown to reprogram ASCs toward a highly angiogenic phenotype. However, because this activation also modulates some immune-related genes, including MHC, its impact on immunogenicity is unknown and could be critical for allogeneic applications. This study evaluated whether ASCs embedded in a gelatin sponge could be used in an allogeneic setting for ischemic wound repair. To mimic clinical allogeneic conditions, a controlled MHC mismatch was introduced in a rat ischemic wound model: donor ASCs carrying RT1^n or RT1^l haplotypes were implanted into outbred RT1^a recipients. Embedding ASCs within the gelatin sponge upregulated MHC class I but not class II expression, without inducing systemic or local alloreactivity. Serum acute-phase proteins remained unchanged, and no CD3⁺ T-cell infiltration was detected. Histology confirmed efficacy on ischemic wounds, with increased granulation tissue thickness, red blood cell infiltration, and enhanced vessel density versus controls. Allogeneic ASCs activated by a gelatin scaffold promote wound revascularization without eliciting immune rejection, supporting their development as standardized, off-the-shelf therapies for chronic ischemic wounds. Full article

We investigate whether an ontology-typed knowledge graph (KG) can improve SOAP note generation from clinician–patient encounter transcripts by serving as a structured intermediate representation that organizes clinically salient content while preserving provenance. We introduce Knowledge graph Ontology Supported Medical Output System (KOSMOS), which extracts typed clinical entities with attributes and relationships, grounds entities to UMLS concepts and a schema, and retains links to supporting transcript turns. The resulting graph is provided as context for large language model (LLM)-based SOAP generation either alone (KG-only) or combined with the original transcript (Transcript + Nodes, Transcript + KG). We evaluate these conditions against DocLens and Ambient Clinical Intelligence Benchmark (ACI-BENCH) baselines on their benchmark, claim, and citation analyses. Across all three test sets, transcript-inclusive KOSMOS variants achieve the highest raw scores, numerically exceeding the transcript-only baselines. Claim-level evaluation shows modest, non-significant recall gains for Transcript + Nodes and low hallucination under transcript-conditioned GPT-5.2, while citation analysis shows about a 3% accuracy gain for KOSMOS (Transcript + KG) over DocLens GPT-5.2. Overall, ontology-guided KG structure appears most beneficial as a complementary scaffold paired with transcript access, while relationships provide limited additional benefit under current extraction quality. Full article

Repairing maxillofacial bone defects remains a major clinical challenge due to inadequate vascularisation and poor integration with host tissue. While bioactive scaffolds have shown promise in supporting osteogenesis and angiogenesis, achieving robust and synchronised dual regenerative outcomes is still elusive. This study presents a multifunctional, cell-free magnetic hydrogel platform designed to biomimetically coordinate osteogenic and angiogenic processes for effective maxillofacial bone regeneration. The composite poly(vinyl alcohol)-vaterite (PVA-Vat) hydrogel scaffold incorporates tuneable magnetic nanoparticles (MNPs) composed of single-domain superparamagnetic iron oxide (Fe₃O₄). By harnessing magneto-mechanical cues to orchestrate bilateral communication between human bone mesenchymal stem cells and endothelial cells, this platform provides a deeper mechanistic understanding of coupled tissue regeneration and delivers superior dual-regenerative performance for maxillofacial bone repair. Under magnetic stimulation, a coculture system demonstrated strong osteogenesis-angiogenesis coupling mediated by reciprocal VEGFA-BMP2 signalling. This reciprocal crosstalk was evidenced by a synergistic amplification of VEGFA and BMP2 expression in coculture compared to monocultures, where MNP-stimulated osteoprogenitors secreted VEGFA to drive endothelial capillary-like network formation, while endothelial cells reciprocally enhanced endogenous BMP2 levels to accelerate osteoblastic mineralisation. These findings establish MNP-integrated hydrogels as a cell-free, multifunctional platform capable of synchronising dual regenerative pathways, offering a biomimetic strategy to overcome vascularisation and integration barriers in maxillofacial bone repair. Full article

The management of complex acute and chronic wounds remains a formidable challenge in modern medicine, underscoring the urgent need for advanced therapeutic strategies that accelerate healing, prevent infection, and promote functional tissue regeneration. Electrospun nanofibers have attracted considerable attention in the biomedical field due to their extracellular matrix-like architecture, high surface area, interconnected porosity, and tunable physicochemical composition, which drive advances in wound regeneration, tissue engineering, and biopolymer-based therapeutics. In wound healing, nanofibrous dressings composed of natural polymers such as chitosan, gelatin, collagen, and cellulose promote cell attachment and proliferation, support angiogenesis, and enable infection control while delivering bioactive agents, thereby addressing significant challenges related to inflammation, biocompatibility, and antimicrobial resistance. In tissue engineering, aligned and hierarchically organized scaffolds fabricated from biopolymers such as collagen, gelatin, chitosan, and cellulose enhance the guided orientation of cells, differentiation, and functional regeneration of neural, musculoskeletal, vascular, and skin tissues. In addition to their conventional regenerative applications, recent studies have demonstrated that electrospun biopolymer nanofibers can be used in multifunctional biomedical platforms, including smart and stimuli-responsive systems for drug delivery, biosensing, regenerative interfaces, and wearable medical technologies. The integrated constructs that incorporate diagnostic or therapeutic functionalities, hybrid fabrication approaches that combine 3D printing with electrospinning, and intelligent biopolymer frameworks that enable telemedicine, real-time physiological monitoring, and personalized regenerative therapies offer new opportunities for developing improved biomedical systems. Overall, these advances position electrospun nanofiber systems as promising biomaterials for next-generation biomedical innovation. This review summarizes recent progress in tissue-engineered scaffolds, wound dressings, fabrication strategies for integrative therapeutics, and wearable devices with transformative potential for biomedical applications. Finally, the review addresses significant challenges related to scalability and clinical translation. It offers perspectives on future directions, including the integration of artificial intelligence and the regeneration of complex skin appendages, which will shape the next generation of nanofiber-based wound-healing therapies. Full article