Search Results (6,446)

Autism Spectrum Disorder (ASD) is a complex and multifactorial neurodevelopmental condition whose pathogenesis remains only partially elucidated. Earlier accounts of oxidative stress in ASD often relied on the reductive paradigm of an imbalance between oxidants and antioxidants. In contrast, this narrative review, based on a systematic examination of 1102 publications indexed in scientific databases from 2002 to July 2025, reframes the discussion in terms of redox system dysfunction, a broader and more integrative construct. Here, reactive oxidant species, molecular targets, and reducing/antioxidant counterparts are considered elements of a dynamic circuitry whose maladaptation progressively undermines homeostasis. The sequence of events unfolds in three stages. The first is primary redox dysfunction, manifesting as alterations in metabolic, signaling, and defense pathways. From this disturbance, a second stage arises, marked by functional derailment of cellular compartments—from membranes and cytosol to organelles and nuclei—including mitochondrial and peroxisomal deficits. Ultimately, a third stage emerges, defined by neurodevelopmental alterations such as impaired neurotransmission, synaptic dysfunction, abnormal plasticity, morphogenetic defects, neuroinflammation, and gut–brain–microbiota disarrangements. This progression situates the redox system as a central hub at the interface between human cells and the microbiota, resonating with the ecological and evolutionary principles of the holobiont and the One Health framework. By weaving dispersed evidence into a coherent perspective, this review advances beyond previous analyses, offering a unifying paradigm that connects biochemical dysfunction to clinical heterogeneity in ASD and opens new directions for interdisciplinary research. Full article

Coconut (Cocos nucifera L.) is one of the most widely cultivated crops, with increasing popularity and demand for its products, which necessitates increased production. However, the lack of high-quality planting materials is a major limitation in replanting the senile palms worldwide. This study examined the possibility of using a direct shoot organogenesis pathway as an alternative to somatic embryogenesis to produce clonal coconut plantlets using immature inflorescence explants obtained from Indonesia and Australia, through investigation of the explant types, exogenous plant growth regulators, and additives. Histological analysis showed suitable stages of immature inflorescence explants to be used, which led to the formation of shoot-like structures resembling true vegetative shoots, in all treatments consisting of exogenous plant growth regulators except for those without activated charcoal. The culture medium supplemented with thidiazuron (100 μM) alone or those supplemented with various combinations of other plant growth regulators showed similar shoot induction percentages (ca. 63 to 80%) or shoot-like structures per explant (ca. 6 to 8). The addition of adenine sulphate (217 μM) was found to significantly improve shoot induction (ca. 50%) from immature inflorescence explants compared to the control (ca. 5%), whereas phloroglucinol was found to negatively impact shoot induction, and L-glutamine showed a positive influence. The current study showed several improvements, which warrant further studies to develop commercial protocol for mass production of clonal coconut plantlets through direct organogenesis. Full article

Molecular communication (MC) has emerged as a promising paradigm for nanoscale information exchange in Internet of Bio-Nano Things (IoBNT) environments, offering intrinsic biocompatibility and potential for real-time in vivo monitoring. This study proposes a cascaded MC channel framework for vascular stenosis detection, which integrates non-Newtonian blood rheology, bell-shaped constriction geometry, and adsorption–desorption dynamics. Path delay and path loss are introduced as quantitative metrics to characterize how structural narrowing and molecular interactions jointly affect signal propagation. On this basis, a peak response time-based delay inversion method is developed to estimate both the location and severity of stenosis. COMSOL 6.2 simulations demonstrate high spatial resolution and resilience to measurement noise across diverse vascular configurations. By linking nanoscale transport dynamics with system-level detection, the approach establishes a tractable pathway for the early identification of vascular anomalies. Beyond theoretical modeling, the framework underscores the translational potential of MC-based diagnostics. It provides a foundation for non-invasive vascular health monitoring in IoT-enabled biomedical systems with direct relevance to continuous screening and preventive cardiovascular care. Future in vitro and in vivo studies will be essential to validate feasibility and support integration with implantable or wearable biosensing devices, enabling real-time, personalized health management. Full article

Dongxiang wild rice (DXWR, Oryza rufipogon Griff.), the northernmost known wild rice species, exhibits exceptional tolerance to combined low-temperature and anaerobic stress during seed germination, providing a unique model for understanding plant adaptation to complex environmental constraints. Here, we employed an integrated multi-omics approach combining genomic, transcriptomic, and metabolomic analyses to unravel the synergistic regulatory mechanisms underlying this tolerance. Genomic comparative analysis categorized DXWR genes into three evolutionary groups: 18,480 core genes, 15,880 accessory genes, and 6822 unique genes. Transcriptomic profiling identified 10,593 differentially expressed genes (DEGs) relative to the control, with combined stress triggering the most profound changes, specifically inducing the upregulation of 5573 genes and downregulation of 5809 genes. Functional characterization revealed that core genes, including DREB transcription factors, coordinate energy metabolism and antioxidant pathways; accessory genes, such as glycoside hydrolase GH18 family members, optimize energy supply via adaptive evolution; and unique genes, including specific UDP-glycosyltransferases (UDPGTs), confer specialized stress resilience. Widely targeted metabolomics identified 889 differentially accumulated metabolites (DAMs), highlighting significant accumulations of oligosaccharides (e.g., raffinose) to support glycolytic energy production and a marked increase in flavonoids (153 compounds identified, e.g., procyanidins) enhancing antioxidant defense. Hormonal signals, including jasmonic acid and auxin, were reconfigured to balance growth and defense responses. We propose a multi-level regulatory network based on a “core-unique-adaptive” genetic framework, centered on ERF family transcriptional hubs and coordinated through a metabolic adaptation strategy of “energy optimization, redox homeostasis, and growth inhibition relief”. These findings offer innovative strategies for improving rice stress tolerance, particularly for enhancing germination of direct-seeded rice under early spring low-temperature and anaerobic conditions, by utilizing key genes such as GH18s and UDPGTs, thereby providing crucial theoretical and technological support for addressing food security challenges under climate change. Full article

This study examines the effects of reduced nitrogen (N) application on rice straw N depolymerization in coastal saline paddy soil to establish a scientific basis for optimizing N application strategies during straw incorporation in coastal paddy systems. A 360-day field straw bag burial experiment was conducted using four N application levels: N0 (control, without N fertilizer), N1 (225 kg N/ha), N2 (300 kg N/ha), and N3 (375 kg N/ha). The results indicated that applying 300 kg N/ha significantly (p < 0.05) increased dissolved organic N (DON) content, apr and chiA gene copies, and the activities of alkaline protease, chitinase, leucine aminopeptidase, and N-acetylglucosaminidase. In addition, the application of 300 kg N/ha enhanced the synergistic effects of alkaline protein- and chitin-degrading microbial communities. Pseudomonas, Brevundimonas, Sorangium, Cohnella, and Thermosporothrix were identified as keystone taxa predominant in straw N depolymerization. Straw N depolymerization occurred by two primary pathways: direct regulation of enzyme activity by straw properties of total carbon and electrical conductivity, and indirect influence on N hydrolase activity and DON production through modified microbial community structures. The findings suggest that an application rate of 300 kg N/ha is optimal for promoting straw N depolymerization in coastal saline paddy fields. Full article

This study explored the optimization of green hydrogen production via seawater electrolysis powered by a hybrid photovoltaic (PV)-wind system in KwaZulu-Natal, South Africa. A Box–Behnken Design (BBD), adapted from Response Surface Methodology (RSM), was utilized to address the synergistic effect of key operational factors on the integration of renewable energy for green hydrogen production and its economic viability. Addressing critical gaps in renewable energy integration, the research evaluated the feasibility of direct seawater electrolysis and hybrid renewable systems, alongside their techno-economic viability, to support South Africa’s transition from a coal-dependent energy system. Key variables, including electrolyzer efficiency, wind and PV capacity, and financial parameters, were analyzed to optimize performance metrics such as the Levelized Cost of Hydrogen (LCOH), Net Present Cost (NPC), and annual hydrogen production. At 95% confidence level with regression coefficient (R² > 0.99) and statistical significance (p < 0.05), optimal conditions of electricity efficiency of 95%, a wind-turbine capacity of 4960 kW, a capital investment of $40,001, operational costs of $40,000 per year, a project lifetime of 29 years, a nominal discount rate of 8.9%, and a generic PV capacity of 29 kW resulted in a predictive LCOH of 0.124$/kg H₂ with a yearly production of 355,071 kg. Within the scope of this study, with the goal of minimizing the cost of production, the lowest LCOH observed can be attributed to the architecture of the power ratios (Wind/PV cells) at high energy efficiency (95%) without the cost of desalination of the seawater, energy storage and transportation. Electrolyzer efficiency emerged as the most influential factor, while financial parameters significantly affected the cost-related responses. The findings underscore the technical and economic viability of hybrid renewable-powered seawater electrolysis as a sustainable pathway for South Africa’s transition away from coal-based energy systems. Full article

Renal cell carcinoma (RCC) is the most common form of kidney cancer in adults. Immunotherapy, such as the application of interleukin-2 (IL-2), is a crucial treatment. It is known that IL-2 is involved in the upregulation of the anti-tumor immune response; however, a direct action of IL-2 on RCC cells has not yet been demonstrated. In this project, we aimed to investigate the expression and the functionality of the IL-2Rα, IL-2Rβ, and IL-2Rγ subunits on the four human RCC cell lines A-498, ACHN, Caki-1, and Caki-2. The expression of the three subunit genes was investigated via PCR, agarose gel of PCR products, Western blot, and flow cytometry. IL-2R functionality was assessed in RCC cells cultured with or without rhIL-2 using MTT and BrdU assays to investigate cell viability and proliferation; LDH assays, Live-or-Dye staining, and Annexin V/PI staining to study cell death; and Western blot to detect apoptotic markers, cleaved PARP, and cleaved caspases 3 and 9. Expression of IL-2Rα, IL-2Rβ, and IL-2Rγ subunits in the four cell lines was observed at the protein level with Western blot. Flow cytometry confirmed the cell-surface expression of IL-2Rα, IL-2Rβ, and IL-2Rγ subunits. In addition, we observed that rhIL-2 influenced cell survival/proliferation and cell death, depending on the cell line. We conclude that IL-2R is functional in RCC cells and that rhIL-2 could be used as a therapeutic option to act directly on RCC cells. However, further studies are required to elucidate the signaling pathways triggered by the IL-2-receptor binding on RCC cells. Full article

As a key domain within smart buildings, Smart Sports Venues represent a strategic direction for the future development of the construction industry and hold immense potential to drive the transformation and upgrading of the sports industry. To explore the underlying mechanisms influencing consumer willingness to use Smart Sports Venues, this study constructs a theoretical model based on cognitive evaluation theory and collects data from 632 spectators in core cities of Western China (a region undergoing rapid urbanization where the sports industry is accelerating its development). As an emerging consumption scenario, Smart Sports Venues demonstrate significant development potential and representativeness in these cities. Empirical testing using structural equation modeling (SEM) combined with mediation and moderation analysis revealed the following results: (1) Perceptions of technology and convenience positively influence consumption intention; (2) Risk perceptions negatively influence consumption intention; (3) Critical experiences mediate the effects of technology perceptions, convenience perceptions, and risk perceptions on consumption intention; (4) Subjective Experience exerts a moderating effect. This study offered a novel theoretical explanation for how smart sports venues enhanced sports consumption willingness by revealing the “cognition-experience-behavior” transmission pathway—the complete journey consumers traversed from forming perceptions and experiencing on-site activities to ultimately making purchase decisions. Compared to existing research, this model innovatively integrated psychological cognition with behavioral response mechanisms, breaking away from traditional studies’ isolated analysis of technical parameters or consumption motivations. From an interdisciplinary perspective of sports consumption psychology and behavioral science, this study not only highlighted the value of smart sports venues as a pivotal link in technological innovation and industrial upgrading but also filled a gap in existing literature regarding how smart technologies influenced consumer behavior through psychological mechanisms. The findings provided theoretical foundations for optimizing smart sports architecture through user behavior data analysis and offered practical insights for the widespread adoption and development of smart building technologies. Full article

Background: Evidence on how everyday walking and sleep relate to mood in health profession students from Central–Eastern Europe remains limited. Methods: We conducted a cross-sectional study among 277 Romanian medical students. Data were collected using validated instruments for physical activity (IPAQ-SF), sleep quality (PSQI), and depressive/anxiety symptoms (HADS). Associations were examined using bivariate and multivariable regression models, including sex-stratified analyses. Results: In bivariate analysis, total physical activity was inversely correlated with depressive symptoms (ρ = −0.19, p < 0.001). However, in the multivariable model, this effect was not statistically significant after controlling for other factors. Poor sleep quality emerged as the dominant independent predictor of both depression (β = 0.37, p < 0.001) and anxiety (β = 0.40, p < 0.001). Walking time and frequency were specifically protective against depressive symptoms. Sex-stratified analyses revealed distinct patterns: female students benefited more from walking, whereas male students showed stronger associations between overall physical activity and lower depressive symptoms. Conclusions: Within the constraints of a cross-sectional design, this study provides novel evidence from Eastern Europe that sleep quality and physical activity are central to student mental health. Psychological benefits of walking appear sex-specific, and the null mediation finding suggests benefits operate via direct or unmodelled pathways. Sleep is a critical independent target for tailored, lifestyle-based strategies. Full article

Introducing hierarchical structure into zeolites or synthesizing two-dimensional (2D) zeolite nanosheets have drawn much attention in catalysis and separation process due to the improvement in zeolites’ diffusion properties. In this study, Fe incorporated on the MFI zeolite framework (Fe-MFI) with the nanosheet morphology and unique hierarchical pore structure was successfully synthesized and applied for the adsorption and degradation of Rhodamine B (RhB) in a Fenton-like reaction in the presence of H₂O₂. The synthesis involved a seed-directed hydrothermal method in the presence of NH₄F and a subsequent NaOH treatment made the synthesized hierarchical Fe-MFI nanosheets (Fe-20-10) characterized by abundant highly dispersed framework Fe³⁺ species. As a result of these features, the Fe-20-10 showed excellent ability of adsorption and degradation efficiency of RhB, and enhanced durability due to negligible leaching of framework Fe³⁺ species. Moreover, the hydroxyl radicals were determined as the main the reactive oxygen species of RhB degradation, and a possible adsorption–degradation pathway was proposed. This work offers guidance for developing high-performance Fenton-like degradation catalysts. Full article

Street design quality and socio-economic factors jointly influence housing prices, but their intertwined effects and spatial variations remain under-quantified. Housing prices not only reflect residents’ neighborhood experiences but also stem from the spillover value of public streets perceived and used by different users. This study takes Tianjin as a case and views the street environment as an immediate experience proxy for through-travelers, combining street view images and crowdsourced perception data to extract both subjective and objective indicators of the street environment, and integrating neighborhood and location characteristics. We use Geographical-XGBoost to evaluate the relative contributions of multiple factors to housing prices and their spatial variations. The results show that incorporating both subjective and objective street information into the Hedonic Pricing Model (HPM) improves its explanatory power, while local modeling with G-XGBoost further reveals significant heterogeneity in the strength and direction of effects across different locations. The results indicate that incorporating both subjective and objective street information into the HPM enhances explanatory power, while local modeling with G-XGBoost reveals significant heterogeneity in the strength and direction of effects across different locations. Street greening, educational resources, and transportation accessibility are consistently associated with higher housing prices, but their strength varies by location. Core urban areas exhibit a “counterproductive effect” in terms of complexity and recognizability, while peripheral areas show a “barely acceptable effect,” which may increase cognitive load and uncertainty for through-travelers. In summary, street environments and socio-economic conditions jointly influence housing prices via a “corridor-side–community-side” dual-pathway: the former (enclosure, safety, recognizability) corresponds to immediate improvements for through-travelers, while the latter (education and public services) corresponds to long-term improvements for residents. Therefore, core urban areas should control design complexity and optimize human-scale safety cues, while peripheral areas should focus on enhancing public services and transportation, and meeting basic quality thresholds with green spaces and open areas. Urban renewal within a 15 min walking radius of residential areas is expected to collaboratively improve daily travel experiences and neighborhood quality for both residents and through-travelers, supporting differentiated housing policy development and enhancing overall quality of life. Full article

Smart crop technologies offer promising solutions for enhancing agricultural productivity and sustainability, particularly in the face of global challenges such as resource scarcity and climate variability. However, their deployment in infrastructure-limited regions, especially across Africa, faces persistent barriers, including unreliable power supply, intermittent internet connectivity, and limited access to technical expertise. This study presents a PRISMA-guided systematic review of literature published between 2015 and 2025, sourced from the Scopus database including indexed content from ScienceDirect and IEEE Xplore. It focuses on key technological components including multimodal sensing, data fusion, IoT resource management, edge-cloud integration, and adaptive network design. The analysis of these references reveals a clear trend of increasing research volume and a major shift in focus from foundational unimodal sensing and cloud computing to more complex solutions involving machine learning post-2019. This review identifies critical gaps in existing research, particularly the lack of integrated frameworks for effective multimodal sensing, data fusion, and real-time decision support in low-resource agricultural contexts. To address this, we categorize multimodal sensing approaches and then provide a structured taxonomy of multimodal data fusion approaches for real-time monitoring and decision support. The review also evaluates the role of IoT virtualization as a pathway to scalable, adaptive sensing systems, and analyzes strategies for overcoming infrastructure constraints. This study contributes a comprehensive overview of smart crop technologies suited to infrastructure-limited agricultural contexts and offers strategic recommendations for deploying resilient smart agriculture solutions under connectivity and power constraints. These findings provide actionable insights for researchers, technologists, and policymakers aiming to develop sustainable and context-aware agricultural innovations in underserved regions. Full article

Microplastics (<5 mm) and nanoplastics (~100 nm), which are invisible to the naked eye, originate primarily from fragmentation and breakdown larger plastic debris are increasingly pervasive in the environment. Once released, they can disperse widely in the environment, pollute them adversely and ultimately be taken up by living organisms, including humans, through multiple exposure pathways. Their distribution in aquatic systems is influenced by their physiochemical properties including density, hydrophobicity, and chemical stability, along with environmental conditions and biological activities. To better understand the dynamics of micro- and nanoplastics in surface water, this study conducted a comprehensive review of 194 published articles and scientific reports covering marine, freshwater, and wastewater systems. We assessed the abundance, spatial distribution and the factors that govern their behavior in aquatic systems and analyzed the sampling techniques, pretreatment process, and detection and removal techniques to understand the ongoing scenario of these pollutants in surface water and to identify the ecological risks and potential toxicological effects on living biota via direct and indirect exposure pathways. Full article

The persistent conflict between strength and electrical conductivity in copper-based materials presents a fundamental limitation for next-generation high-performance applications. Graphene, with its unique two-dimensional architecture and exceptional intrinsic characteristics, has become a promising reinforcement phase for copper matrices. This comprehensive review synthesizes recent advancements in graphene–copper composites (CGCs), focusing particularly on structural design innovations and scalable manufacturing approaches such as powder metallurgy, molecular-level mixing, electrochemical deposition, and chemical vapor deposition. The analysis examines pathways for optimizing key properties—including mechanical strength, thermal conduction, and electrical performance—while investigating the fundamental reinforcement mechanisms and charge/heat transport phenomena. Special consideration is given to how graphene morphology, concentration, structural quality, interfacial chemistry, and processing conditions collectively determine composite behavior. Significant emphasis is placed on interface engineering strategies, graphene alignment, consolidation control, and defect management to minimize electron and phonon scattering while improving stress transfer efficiency. The review concludes by proposing research directions to resolve the strength–conductivity paradox and broaden practical implementation domains, thereby offering both methodological frameworks and theoretical foundations to support the industrial adoption of high-performance CGCs. Full article

Alveolar bone loss is a defining feature of periodontitis and a principal cause of tooth loss worldwide. Driven by a dysregulated host immune response to chronic bacterial infection, periodontitis initiates a cascade of inflammatory events that lead to an imbalance in bone remodeling, favoring osteoclastic activity. While conventional periodontal therapies aim to control infection and inflammation, they often fall short in preserving bone integrity. As a result, interest has grown in adjunctive strategies targeting molecular pathways involved in bone metabolism. Among potential candidates, coffee, a globally consumed beverage often perceived as detrimental to health, has gained attention for its complex array of bioactive compounds, including caffeine, chlorogenic acids, and polyphenols. These compounds have demonstrated anti-inflammatory, antioxidant, and osteo-modulatory effects in various biological contexts. Despite coffee’s reputation as a potential health risk, its complex composition presents a paradox, necessitating an investigation into how its bioactive constituents may mitigate periodontal tissue destruction. The novelty of this short review lies in its integration of in vitro, animal, and epidemiologic evidence to delineate the dose- and context-dependent effects of coffee polyphenols, particularly chlorogenic and ferulic acids, on periodontal inflammation and alveolar bone remodeling, with special emphasis on osteoclast-related mechanisms that have not been synthesized previously. Caffeine can influence osteoblast and osteoclast activity in a dose-dependent manner, while chlorogenic acids (CGA) and polyphenols exert radical-scavenging and cytokine-suppressing activity that may reduce inflammatory bone loss. However, their efficacy is influenced by coffee species, cultivation, roasting, and extraction methods. This review evaluates current evidence and proposes directions for optimizing coffee-based formulations to support alveolar bone preservation in periodontitis. Full article