Search Results (91,334)

Background/Objectives: Periodontal disease is a chronic inflammatory condition associated with systemic vascular dysfunction and elevated cardiovascular risk. This systematic review and meta-analysis aimed to quantitatively evaluate the association between periodontitis and endothelial dysfunction and to assess the effects of periodontal therapy on endothelial function and inflammatory biomarkers. Methods: Conducted per PRISMA 2020 and registered in PROSPERO (CRD420261309247). Electronic databases (PubMed, Scopus, Cochrane Library) were searched for observational and interventional studies assessing endothelial function in patients with periodontitis. Risk of bias was evaluated using RoB 2, ROBINS-I, and the Newcastle–Ottawa Scale; certainty of evidence was assessed with GRADE. Pooled effects on flow-mediated dilation (FMD) and inflammatory markers were estimated using random-effects meta-analysis (DerSimonian–Laird). Results: Fourteen studies were included in qualitative synthesis; six contributed quantitative FMD data. Observational studies consistently demonstrated impaired endothelial function and elevated inflammatory markers in patients with periodontitis versus controls. Meta-analysis showed that periodontal therapy significantly improved endothelial function (pooled FMD: +3.3 percentage points; 95% CI 1.7–4.9; I² = 77%; p < 0.001), though results should be interpreted cautiously given substantial heterogeneity and the limited number of studies (n = 6). Periodontal treatment reduced CRP levels (mean difference −0.38 mg/L; I² = 41%); IL-6 showed a favorable direction but with very low certainty of evidence. Publication bias could not be reliably assessed given the small number of included studies. Conclusions: Periodontitis is associated with impaired endothelial function and systemic inflammation. Periodontal therapy leads to measurable improvements in both, supporting its role as a potentially modifiable contributor to cardiovascular risk. Larger randomized trials with long-term cardiovascular endpoints are warranted. Full article

The data-scarce Varzob River basin, Tajikistan, shows significant cold-season warming, an earlier spring runoff shift, and a sharp rise in avalanche frequency. We analyse long-term runoff (1940–2018), meteorological records (2000–2024), avalanche observations (2019–2026), field snow surveys (2025–2026), and satellite/UAV imagery (2024–2025). Annual runoff shows a 6.7% higher mean in 1991–2018 than in 1940–1990, but the long-term trend is not significant (p = 0.23). However, the centre of mass of spring runoff shifted significantly earlier by 3.7 days (p < 0.001). Cold-season temperature increased significantly (p = 0.016), while wind speed showed no significant trend (p = 0.061). Snow water equivalent at seven elevations (1930–2955 m) ranges from 200 to 440 mm, and melt-freeze crusts indicate a snowpack prone to wet-slab avalanches. Avalanche frequency increased from 81 events in 2019 to 430 in 2025 and 560 (partial) in 2026, coinciding with a ~70% higher snow water equivalent in 2026. Mapped avalanche paths terminate less than 50 m from the Varzob River, suggesting a potential, though unquantified, contribution of avalanche snow to spring runoff. The integration of long-term hydrology, high-resolution meteorology, field surveys, and remote sensing offers a replicable framework for cryospheric-hydrological studies in data-scarce mountain basins. Full article

Background: Glucagon-like peptide-1 (GLP-1)-based therapies offer significant cardiometabolic benefits. Obesity-related heart failure with preserved ejection fraction (HFpEF) arises from a complex interplay of increased lipids, chronic inflammation, and metabolic disturbances. These factors not only exacerbate the disease but also affect GLP-1 pathways, supporting the potential role of GLP-1-based therapies in targeting this condition. Objective: This review aimed to synthesize the current evidence on GLP-1-based therapy in HFpEF, focusing on mechanisms of action, clinical outcomes, and practical significance. Methodology: A narrative review using PubMed and Scopus was conducted, including studies published between January 2020 and March 2026. Evidence from randomized trials, pooled analyses, mechanistic studies, and observational data was incorporated. Results: GLP-1-based therapies, including semaglutide and tirzepatide, demonstrated significant improvements in symptoms, exercise capacity, and quality of life. These benefits are closely linked to weight loss, reduced inflammation, and improved congestion indices. Tirzepatide use has also been associated with a reduction in heart failure-related complications. The underlying mechanisms likely involve coordinated effects on metabolism, inflammation, hemodynamics, and cardiac remodeling. Current evidence suggests that its efficacy in improving morbidity rates is stronger than its efficacy in reducing mortality rates. Conclusions: GLP-1-based therapies offer a promising, phenotypically targeted approach to managing obesity-associated HFpEF. However, their long-term effects on mortality remain unclear, highlighting the need for further research. Further studies should refine patient selection and define optimal clinical integration. Full article

Air quality affects large urban areas, where rapid urban development and human activities place constant pressure on ecosystems and public health. In this context, large-scale air quality assessment, supported by short-term forecasts, can provide useful information for environmental management and decision-making in urban areas, thus supporting evidence-based urban environmental management. The aim of this work is to design an affordable, smart real-time air pollution monitoring and prediction system for urban planning in overpopulated locations, which is deeply related to community health. The system focuses on real-time monitoring and forecasting of air quality. Prediction tasks were limited to gaseous pollutants CO and CO₂. Measurements were obtained over four months from a low-cost sensor platform installed in a highly populated neighborhood district in Baghdad, Iraq. Air quality prediction of gas concentrations was done using three types of time-series algorithms: Long Short-Term Memory, or LSTM; Gated Recurrent Unit, or GRU; and Temporal Convolutional Network, or TCN, models. Among these, the LSTM architecture showed more stable behavior and a higher predictive ${\mathrm{R}}^2$, ranging from 98.2% to 98.9%. Generally, the findings suggest that combining low-cost sensing technologies with artificial intelligence can offer a feasible and scalable solution for urban air quality monitoring. This approach may support cost-effective strategies for monitoring air quality in resource-constrained urban environments. Full article

Conductive hydrogels are functional materials that combine soft, highly hydrated properties with electrical signal transmission capabilities. Their conductivity arises from ionic or electronic pathways, and the key design challenge is achieving good conductivity and long-term stability without compromising mechanical performance and biocompatibility. Among various conductive components, conductive polymers have attracted considerable attention due to their tunable mechanical properties, high electrical conductivity, good biocompatibility, and facile synthesis routes. In this study, a series of conductive hydrogels were rationally designed and fabricated by copolymerizing acrylamide and N,N′-methylenebisacrylamide with functionalized poly(vinyl alcohol) (PVA) and poly(3,4-ethylenedioxythiophene-co-thiophene) [P(EDOT-co-Th)]. The functionalized PVA provided multiple dynamic hydrogen-bonding sites, significantly enhancing the toughness of the hydrogel and its adhesion to various substrates, while the P(EDOT-co-Th) copolymer imparted good and stable electrical conductivity. By systematically adjusting the amount of functionalized PVA, the mechanical strength, adhesiveness, and durability of the conductive hydrogels were effectively optimized. The optimized hydrogel exhibited robust adhesion to a wide range of surfaces, excellent fatigue resistance, and long-term stability under repeated mechanical deformation. Moreover, the combination of mechanical resilience and good conductivity enabled precise and reliable signal transduction, highlighting its strong potential as a next-generation material for wearable strain and pressure sensors. Full article

Background: Gestational diabetes mellitus (GDM) is an increasingly prevalent metabolic disorder of pregnancy. Beyond its well-established metabolic consequences, growing evidence suggests that exposure to maternal hyperglycemia during fetal life may influence immune system development and increase the risk of allergic diseases in offspring. Objective: This study aimed to systematically review the available evidence on the association between gestational diabetes mellitus and the development of allergic diseases in children, with particular emphasis on immunological mechanisms and the role of early-life gut microbiota. Methods: A systematic review was conducted using the PubMed and Scopus databases. Original human and animal studies, including cohort, case–control, cross-sectional, and clinical studies, were eligible for inclusion. Study selection followed PRISMA guidelines and was performed independently by three reviewers. Methodological quality was assessed using the Newcastle–Ottawa Scale (NOS) and Joanna Briggs Institute (JBI) Critical Appraisal Tools. Results: The included studies suggest that children born to mothers with GDM may have an increased risk of developing allergic diseases, particularly atopic dermatitis, food allergy, allergic rhinitis, and urticaria. Associations with childhood asthma were less consistent and appeared to depend on maternal body mass index, glycemic control, and duration of follow-up. Evidence suggests that maternal hyperglycemia may disrupt fetal immune programming through chronic low-grade inflammation, oxidative stress, altered cytokine profiles, and impaired regulatory T-cell development. Additionally, GDM has been associated with early alterations in neonatal gut microbiota composition and metabolic pathways, which may further contribute to immune dysregulation and increased susceptibility to allergic diseases. Importantly, effective metabolic control during pregnancy was associated with a lower risk of adverse allergic outcomes in offspring. Conclusions: GDM may represent an important prenatal exposure associated with altered immune maturation and a higher risk of allergic diseases in offspring. Early metabolic disturbances, immune dysregulation, and alterations in gut microbiota appear to be key mechanisms underlying this association. Optimizing glycemic control during pregnancy and implementing early-life preventive strategies may reduce the long-term burden of allergic diseases. Further well-designed longitudinal and mechanistic studies are required to clarify causal pathways and identify effective preventive interventions. Full article

Age-friendly interaction design remains challenging in intelligent furniture applications, where complex interfaces and unreliable control may hinder middle-to-older adults’ safe operation and long-term acceptance. This study proposes a data-driven framework to support the design and evaluation of an age-friendly smart bed application by linking large-scale requirement mining, requirement-to-design translation, and controlled usability validation. First, large-scale e-commerce reviews (n = 20,174) were analyzed using LDA to identify dominant unmet needs. Key pain points clustered around interaction usability, information interpretability, and voice control reliability. Based on these findings, we developed an age-friendly smart bed app prototype. A within-subject usability study with 27 middle-to-older adults (55–65 years) compared the proposed system against a representative commercial reference application under standardized task protocols. The results showed significantly improved perceived usability, with a higher System Usability Scale (SUS) score (94.91 vs. 79.63, p < 0.001) and higher recommendation intention measured by overall NPS (59.52% vs. 34.39%). Beyond system-level usability improvement, this study makes three key contributions: (1) a reproducible ‘demand mining → design translation → empirical validation’ framework that bridges the methodological gaps in current intelligent furniture research; (2) operationalized mapping from LDA-derived user pain points to concrete multimodal interaction modules; and (3) empirical evidence from comparative usability testing with explicitly profiled middle-to-older adults (55–65 years) against a commercial reference system. Full article

Chromium slag, a chromium-bearing solid waste characterized by substantial environmental hazards yet with appreciable resource potential, has become a focal topic in solid-waste pollution control and the circular economy. Centered on the overarching logic of “evidence chain–system boundary–scalable and verifiable acceptance,” this review systematically synthesizes recovery technologies, industrial-scale utilization pathways, and the key challenges associated with the detoxification and resource utilization of chromium slag. From the perspective of recovery technologies, we examine pyrometallurgical and hydrometallurgical routes, solidification/stabilization (S/S), and bioelectrochemical coupling approaches, elucidating their fundamental principles, applicability boundaries, and critical nodes where environmental burdens may be transferred across media. We emphasize that process design should concurrently consider detoxification efficiency, resource recovery performance, and whole-process pollution control. Regarding utilization pathways, this review highlights three major routes with strong scale-up relevance—metallurgical process co-treatment (CAP–sintering–blast furnace), bulk utilization in construction materials, and high-value utilization—and analyzes their industrial potential and engineering constraints. Particular attention is given to the lack of long-term leaching and durability evidence, which represents a central bottleneck limiting product-side credibility. Furthermore, we discuss cross-cutting challenges including the long-term stabilization of Cr(VI), the verifiability of “green utilization” concepts, cost and economic feasibility, and standardized acceptance criteria. We propose that future research should shift from single-process optimization toward multi-objective, system-level evaluation, and establish a full-chain evidence system covering “speciation/mineral phases–process mechanisms–environmental behavior–risk assessment–engineering scale-up–standardized acceptance.” This review aims to provide a systematic analytical framework and practical reference for improving comparability across resource-utilization technologies and supporting engineering decision-making for chromium slag management. Full article

Accurate long-term forecasting of Quality of Transmission (QoT) is critical for the proactive operation and condition-aware management of dynamic elastic optical networks. However, the evolution of QoT is governed by multi-scale dynamics, including slow equipment aging, periodic operating variations, and short-term channel fluctuations, which a single temporal model struggles to capture jointly. To address this issue, we propose PA-TCN-Informer, a decomposition-driven parallel forecasting framework for long-horizon QoT prediction. The proposed framework first applies Seasonal-Trend decomposition using Loess (STL) to separate the Q-factor sequence into trend, seasonal, and residual components, and then employs Variational Mode Decomposition (VMD) to further resolve the residual into short-term fluctuation modes. The decomposed components, together with physical-layer monitoring features, are fed into a parallel TCN–Informer architecture, in which the TCN branch captures local temporal patterns while the Informer branch models long-range dependencies; the two streams are subsequently fused. We evaluate the proposed framework through Optuna-based hyperparameter optimization, STL/VMD sensitivity analysis, decomposition-method comparison, multi-seed baseline comparison with statistical testing, and zero-shot leave-one-dataset-out cross-domain evaluation. On the primary dataset, PA-TCN-Informer achieves the best overall forecasting accuracy among the compared models and reduces MAE by 2.2% relative to the serial TCN–Informer. In addition, the staged STL-VMD preprocessing alone yields a 60.8% reduction in MAE compared with raw inputs, confirming the value of physically interpretable multi-scale decomposition. In the zero-shot cross-domain setting, PA-TCN-Informer remains competitive across target domains. These results demonstrate that the proposed framework provides an effective and interpretable approach to QoT forecasting, and they further indicate that topology-aware modeling is a promising direction for improving cross-domain generalization. Full article

Damage to urban water supply infrastructure can rapidly compromise access to safe water and force households to rely on alternative sources of uncertain quality. This study presents a case-based assessment of water quality and emergency household-level treatment options in Mykolaiv, Ukraine, following conflict-induced disruption of the centralized water supply system. Water samples collected from selected groundwater and distribution-network points were analyzed for physicochemical, organoleptic, and microbiological indicators, including total dissolved solids, hardness, sulfates, chlorides, iron, permanganate oxidizability, total microbial count, and E. coli. The results showed elevated mineralization, increased sulfate and chloride concentrations, high hardness, organic load indicators, and episodic microbiological contamination in several samples. A low-cost four-stage household treatment procedure combining chemical oxidation, thermal treatment, sorption, and short-term preservation was evaluated as a preliminary emergency approach. The procedure improved odor, taste, hardness, iron content, permanganate oxidizability, and microbiological safety; however, it did not fully reduce total dissolved solids, sulfates, or chlorides to drinking-water standards. Therefore, the treated water should be considered non-potable and suitable mainly for limited domestic and hygienic uses unless additional desalination or blending is applied. The study highlights both the potential and the limitations of simple household-level interventions under emergency water supply disruption and emphasizes the need for decentralized treatment support, monitoring, and long-term infrastructure recovery. Full article

Drought–flood abrupt alternation (DFAA) is a typical compound hydroclimatic extreme process and has important implications for regional water resources regulation, agricultural production, and ecological stability. However, existing studies have mainly focused on event identification and frequency variation, while lacking a systematic investigation of the directional differences between drought-to-flood (DF) and flood-to-drought (FD) events in terms of process structure, cumulative effects, and spatial hazard patterns. Based on daily precipitation data from 1960 to 2024, this study identified DFAA events in the Yellow River Basin by combining the standardized weighted average precipitation (SWAP) index with run theory, and analyzed the asymmetric characteristics of DF and FD events from the perspectives of event frequency, phase duration, abrupt-transition characteristics, cumulative severity, and integrated hazard. The results show that: (1) the frequency of DFAA events in the Yellow River Basin exhibited pronounced spatial heterogeneity, with an overall pattern of being higher in the middle reaches and lower in the upper and lower reaches. The frequency of DF events was generally higher than that of FD events, and their spatial distribution was also more continuous. No significant long-term trend was detected in the annual frequency, although clear interdecadal variability was observed, characterized by a transition from relatively low-frequency periods to medium- and high-frequency periods. (2) DF and FD events exhibited stable asymmetry in process structure. The abrupt-transition duration of DF events was mainly concentrated within 1–2 days, whereas that of FD events was mainly concentrated within 3–5 days. The two event types had comparable pre-transition durations, but DF events tended to shift more rapidly and were followed by a longer-lasting flood phase. (3) The differences between the two event types in terms of instantaneous intensity were relatively limited, whereas clearer divergence was observed in cumulative severity, with DF events showing greater overall severity than FD events. This indicates that the directional difference is manifested primarily in cumulative process effects rather than in the magnitude at a single moment. (4) The comprehensive hazard index (CHI) revealed that the northern and central-eastern parts of the middle reaches of the Yellow River Basin were the main hotspots of DFAA hazard. Among them, high-hazard areas of DF events were more extensive, whereas FD hazards were characterized more by localized intensification. These findings indicate that within the identification framework adopted here, DFAA in the Yellow River Basin is characterized not only by rapid dry–wet transitions, but also by clear directional differences between DF and FD in process structure and hazard pattern. This study can provide a scientific reference for the monitoring, early warning, and zonal hazard prevention of DFAA in the basin. Full article

Survivors of childhood leukemia are at increased risk of long-term skeletal complications, including reduced bone mineral density (BMD). Vitamin D deficiency and genetic variations in the vitamin D receptor (VDR) gene are important factors influencing bone health, yet their combined effects remain insufficiently studied, particularly in North African populations. This case-control study included 130 survivors of childhood acute lymphoblastic leukemia (ALL) in remission (age range: 5–26 years) and 110 age- and sex-matched healthy controls recruited from Beni Messous Hospital. BMD was assessed at the lumbar spine and femoral neck using dual-energy X-ray absorptiometry and expressed as z-scores. Serum 25-hydroxyvitamin D levels were measured, and VDR polymorphisms (FokI, ApaI, and BsmI) were analyzed using PCR-RFLP. Hypovitaminosis D was observed in 43.85% of patients at diagnosis and 23.07% after remission. Survivors had significantly lower BMD compared with controls at both the lumbar spine (z-score: −4.26 ± 0.75 vs. 0 ± 1, p < 0.001) and femoral neck (−3.78 ± 0.45 vs. 0 ± 1, p < 0.001). Reduced BMD for age was identified in 30% of patients. Variant genotypes TT (FokI), AA (BsmI), and CC (ApaI) were more frequent in patients and were associated with lower BMD (p < 0.0001). These findings suggest that hypovitaminosis D and VDR polymorphisms may be associated with bone health in survivors of childhood leukemia. The coexistence of these factors may contribute to interindividual variability in BMD. Full article

Climate change impacts in Europe are accelerating, creating urgent adaptation needs across diverse local contexts. This paper presents the implementation of a Systems Innovation Approach (SIA) through living labs to co-design climate resilience strategies in nine European case studies. SIA provides a structured, participatory framework for systemic change through a stepwise approach, enabling the development of tailor-made sustainability strategies by co-designing a portfolio of short-, mid-, and long-term innovative solutions. Living labs can successfully support open innovation ecosystems by facilitating knowledge exchange, trust-building, and co-creation of tailored innovation pathways for adaptation. Results showcase how the SIA can be operationalized in the context of climate change adaptation and resilience throughout nine case studies. The discussion highlights how living labs, using an SIA, can enhance stakeholder networks and build capacity and co-create knowledge and mutual understanding across diverse stakeholders while fostering actionable strategies. However, challenges remain regarding sustaining living labs beyond project funding, maintaining engagement, and bridging planning-to-implementation gaps. The paper concludes with recommendations for institutionalizing living labs within governance frameworks to accelerate Europe’s transition toward climate resilience. Full article

Glucagon-like peptide-1 receptor agonists (GLP-1RAs) and newer dual-incretin therapies have become central to the treatment of diabetes mellitus and obesity, with benefits extending beyond glycemic control. Their expanding use has prompted growing interest in their potential ocular effects. Experimental data support plausible protective mechanisms, including reduction in oxidative stress and neuroprotective effects on retinal and optic nerve tissues. Clinical evidence, however, remains heterogeneous. In diabetic retinopathy, the main concern appears to be transient early worsening associated with rapid glycemic improvement rather than direct retinal toxicity. A potential semaglutide-associated signal for non-arteritic anterior ischemic optic neuropathy has raised concern, although the absolute risk appears low and causality remains unproven. Emerging studies also suggest possible beneficial associations with glaucoma, ocular surface diseases, and certain retinal vascular outcomes, whereas the evidence regarding age-related macular degeneration and cataract remains conflicting or preliminary. Overall, ocular outcomes associated with incretin-based therapies seem to reflect a complex interplay among drug-specific pharmacology, systemic metabolic changes, and individual patient susceptibility rather than a class effect. Baseline ophthalmic assessment and individualized follow-up may be advisable in selected high-risk patients. Further prospective ophthalmology-focused studies are needed to clarify long-term safety and identify the patients most likely to benefit or develop adverse events. Full article

The espinal agroforestry system is a valuable grazing resource for sheep and cattle in the Mediterranean region of central Chile. It is characterized by a woody stratum dominated by Vachellia caven and an herbaceous grassland stratum that together provide important ecological services. Despite its relevance for extensive livestock production, ongoing land-use change threatens the integrity of the espinal agroforestry system, underscoring the need for sustainable management strategies to enhance productivity. This study assessed the long-term impacts of improved management practices in a representative espinal agroforestry system, including annual fertilization, supplementary cereal crop integration, and progressive increases in stocking rate, on plant diversity and soil carbon storage in Cauquenes, Maule Region, Chile (35°58′ S, 72°17′ W), during 2014–2019. A production system was established on 10 ha of espinal grassland, complemented by 1 ha of supplementary crop rotation (oat–purple vetch intercropping and triticale). Due to the scale of the system, a single experimental unit was used; however, multiple sampling areas were evaluated over time to assess the botanical composition, forage yield, and soil carbon. Grasslands were annually fertilized with phosphorus, potassium, and boron. The forage yield in spring ranged from 2 to 4 t dry matter ha⁻¹ year⁻¹ over six years, with strong interannual variability driven by rainfall. The stocking rate increased progressively from 2 to 8 sheep ha⁻¹ and lamb live weight from 80 to 370 kg ha⁻¹ over six-years. The grassland botanical composition shifted markedly, with increased abundance of annual legumes (Trifolium subterraneum, Medicago polymorpha) and Leontodon leysseri. Supplementary crops yielded between 6.0 and 10.5 t DM ha⁻¹, while soil organic carbon increased from 1.6% to 2.2%. These results demonstrate that sustainable intensification of the espinal system can enhance productivity while maintaining environmental sustainability. Full article