Search Results (14,364)

The anti-aging performance of stay cables in complex marine environments is directly related to the long-term service safety of sea-crossing cable-stayed bridge structures, and it has been recognized as one of the key issues for the priority evaluation of the structural performance of sea-crossing cable-stayed bridges with Basalt Fiber Reinforced Polymer (BFRP) cables. In this paper, the coupled aging effects of ultraviolet radiation, salt spray, temperature and humidity, and prestress on BFRP cables were taken into consideration. Accelerated aging tests involving the coupling of light, heat, water, salt, and prestress were carried out to simulate the actual marine service environment. The anti-aging performance of BFRP cables was investigated by combining the analysis of macro mechanical properties with the characterization of micro structural morphology. The results of the study were as follows: (1) With the increase in aging duration, the tensile strength and ultimate fracture strain of BFRP cables decreased gradually. The degradation rates of tensile strength and ultimate fracture strain of BFRP cables exhibited a decreasing trend, characterized by an initial rapid phase followed by a gradual slowdown under the coupled aging effects of light, heat, water, salt, and prestress. (2) Compared with the significant decrease in tensile strength, the elastic modulus of BFRP cables showed an insignificant decrease. The elastic modulus of BFRP cables was observed to exhibit a trend of initial decrease, subsequent increase, and another decrease, with an overall reduction. (3) Temperature and prestress were verified to exert a considerable influence on the anti-aging performance of BFRP cables. The influence of temperature on the degradation of aging performance of BFRP cables was found to be greater than that of prestress. (4) The degradation in the anti-aging performance of BFRP cables under coupled aging effects was confirmed to originate from the initiation and propagation of microcracks in the resin matrix, which were caused by the combined actions of prestress, photochemistry, and hydrolysis. Meanwhile, the damage to the fiber–resin interface was accelerated by chloride ions in seawater under high-temperature conditions, which ultimately led to a reduction in the anti-aging performance of BFRP cables. Full article

Background: Inherited kidney diseases represent a genetically and clinically heterogeneous group of disorders affecting both pediatric and adult populations. Advances in next-generation sequencing (NGS) have improved diagnostic precision; however, genotype–phenotype correlations and diagnostic yield vary substantially across disease entities. Methods:We retrospectively evaluated 165 patients referred for genetic testing due to suspected inherited kidney disease. Patients were classified into three clinical groups: polycystic kidney disease, Alport syndrome, and other syndromic patients with inherited kidney diseases. Genetic analysis was performed using NGS with Human Phenotype Ontology–based gene filtering and included evaluation of both single-nucleotide variants and copy number variations. Results: Overall diagnostic yield differed markedly between groups. A molecular diagnosis was achieved in 71.4% of Alport patients, 41.0% of PKD patients, and 70.2% of patients in the Other syndromic group. In the Alport group, variants were identified exclusively in COL4A3, COL4A4, and COL4A5, with pathogenicity and gene involvement correlating with disease severity and the presence of extrarenal manifestations. The PKD group showed predominant involvement of PKD1, followed by PKHD1 and PKD2, while a substantial proportion of patients remained genetically negative, reflecting technical and biological complexity. The Other group exhibited pronounced genetic heterogeneity, with variants distributed across multiple genes involved in tubular, glomerular, metabolic, and ciliopathy-related pathways. Computational assessments demonstrated that several variants of uncertain significance (VUS) were located in functionally critical domains and were predicted to disrupt protein stability, intermolecular interactions, or conserved structural motifs, thereby supporting the biological plausibility of their potential pathogenic impact. Conclusions: Phenotype-driven NGS enables effective molecular diagnosis across diverse inherited kidney diseases while revealing disease-specific differences in diagnostic yield and genotype–phenotype correlations. Systematic inclusion of variants of uncertain significance and careful integration of genetic and clinical data are essential for accurate interpretation and long-term patient management. Collectively, this study enhances understanding of inherited kidney diseases and underscores the value of integrating comprehensive genomic and computational approaches into routine nephrogenetic practice. Full article

Reinforcement corrosion is one of the primary deterioration mechanisms affecting the long-term seismic performance of reinforced concrete (RC) structures. Although the effects of corrosion on individual RC members have been widely investigated, its influence on the cyclic behavior of RC frame systems has received limited attention. This study numerically investigates the seismic response of a single-bay reinforced concrete frame subjected to cyclic lateral loading under various corrosion scenarios. A three-dimensional nonlinear finite element model was developed in ABAQUS, incorporating corrosion-induced effects such as reinforcement cross-sectional loss, degradation of mechanical properties, bond strength deterioration, and concrete softening. The corrosion propagation rate and exposure duration were considered as key parameters, and different corrosion scenarios were comparatively evaluated. The numerical model was validated using an experimentally tested non-corroded reinforced concrete frame subjected to cyclic loading. The results demonstrate that reinforcement corrosion leads to significant degradation in the seismic performance of RC frames. Depending on corrosion severity, reductions of up to approximately 25% in lateral load capacity and up to 27% in both initial stiffness and energy dissipation capacity were observed. The findings further indicate that stiffness- and energy-based performance indicators are more sensitive to corrosion damage than strength-based indicators. The study highlights the importance of explicitly accounting for corrosion effects in the seismic performance assessment of reinforced concrete frame systems and provides a practical numerical framework for evaluating corrosion-induced performance degradation. Full article

Background: Mental health problems in childhood and adolescence constitute a major public health concern, influencing developmental trajectories, educational outcomes, and long-term well-being. This study aimed to assess developmental and socioeconomic gradients in perceived mental health and mood disorder risk among children and adolescents, integrating parental evaluations, symptom-related indicators, and sociodemographic correlates. Methods: A cross-sectional survey was conducted among 1177 parents or legal guardians of children aged 6–18 years in Poland. Data were collected via a structured questionnaire assessing perceived physical and mental health, socioeconomic characteristics, and seven symptom-based items aligned with the Children’s Depression Inventory 2 (CDI-2) diagnostic framework. Nonparametric tests (χ², Spearman’s ρ, Kruskal–Wallis H) were applied to examine age-related differences and socioeconomic gradients in perceived mental health and mood disorder risk. Results: Parental evaluations indicated a consistent discrepancy between physical and mental health, with psychological well-being rated less favorably and exhibiting greater variability. Both perceived mental health and mood disorder risk showed strong age-related differentiation, revealing declining scores with increasing age (ρ < 0, p < 0.001). Family financial situation demonstrated the strongest association with mental health outcomes (H = 71.39, p < 0.001), while parental occupational status exerted moderate effects and educational attainment showed no significant influence. Concentration difficulties, affective distress, and somatic symptoms such as fatigue and sleep disturbance were commonly reported. Conclusions: Findings indicate that child and adolescent mental health is shaped by interacting developmental and socioeconomic determinants. Adolescence and financial disadvantage represent key vulnerability factors associated with poorer psychological outcomes. The results highlight the need for developmentally targeted and socially equitable mental health strategies within pediatric and preventive healthcare systems. Full article

Background and Objectives: Dental implant placement in grafted alveolar cleft sites has become an integral component of comprehensive cleft rehabilitation. However, survival outcomes vary across studies, and temporal trends in clinical performance have not been systematically quantified. This review aimed to evaluate implant survival in grafted alveolar cleft patients and to compare outcomes between early and modern treatment eras. Materials and Methods: A systematic search of the PubMed, Web of Science, Cochrane Library, and Wiley databases was performed in accordance with PRISMA guidelines. Clinical studies reporting implant survival in grafted alveolar cleft sites with a minimum follow-up of 12 months were included. Data extraction encompassed implant survival, timing of placement, grafting protocols, and reported causes of failure. For temporal comparison, studies were stratified into an early era (1997–2008) and a modern era (2010–2026). Weighted pooled survival rates were calculated, and differences between proportions were assessed using a two-proportion Z-test (p < 0.05). Results: 18 studies met the inclusion criteria, representing 1561 implants placed in grafted alveolar cleft sites. Overall reported survival ranged from 80% to 100%. Weighted pooled survival increased from 91.2% (95% CI: 87.9–94.5) in early studies to 94.2% (95% CI: 92.9–95.5) in modern cohorts, demonstrating a statistically significant 3.0% absolute improvement (p = 0.038). Implant failures occurred predominantly during the early osseointegration phase and were commonly associated with insufficient graft volume or inadequate primary stability. Late biological complications were infrequently reported. Conclusions: When appropriate bone reconstruction, healing, and multidisciplinary coordination are achieved, implant therapy represents a reliable component of comprehensive cleft care. Further prospective studies with standardized protocols and long-term follow-up are needed to strengthen evidence-based recommendations. Full article

Background/Objectives: Pygmy rabbits (Brachylagus idahoensis) are closely associated with sagebrush steppe habitat across the western United States, and loss and fragmentation of this habitat has contributed to the near extirpation of the Columbia Basin population in Washington state (CB). The CB pygmy rabbit was listed under the Endangered Species Act in 2003, and recovery efforts have included captive breeding, reintroduction, and genetic rescue with the translocation of rabbits from populations across the species range. Methods: We used restriction site-associated DNA sequencing (RADseq) on samples from across the species range, including CB pygmy rabbits captured prior to genetic rescue and admixture. We determined population genetic structure across the pygmy rabbit range, tested for genomic signatures of adaptive divergence among populations, assessed the genetic distinctiveness of the ancestral CB population, and identified loci useful for monitoring ancestry in the current admixed CB population. Results: Our dataset included 9794 single-nucleotide polymorphisms (SNPs) across 123 individuals. We identified four distinct genetic groups, including the central portion of the species range and three peripheral populations: CB, northern Utah/Wyoming, and southern Utah. The ancestral CB population showed the highest degree of genetic distinctiveness using multiple clustering, ordination, and genetic differentiation analyses. We identified evidence for putatively adaptive variation among populations, but no significant gene ontology associated with local adaptation. Conclusions: Our results highlight the long-term isolation of the ancestral CB population as well as historical isolation of other peripheral populations. Our results also provide SNP loci for monitoring the consequences of genetic rescue efforts in the current admixed CB population. Full article

ERP systems significantly optimize many business processes and activities, but often their implementation and use in companies is a risky endeavor. They are the subject of various scientific studies and analyses in the fields of business, accounting and finance. The main focus in them falls on the process of implementing these systems, while the subsequent stages, risk analysis and long-term strategy are less affected. On this basis, this research paper proposes a methodology for quantitative assessment of identified ERP risks. It is based on a five-level matrix measuring three risk factors—influence, impact and vulnerability. The methodology has been empirically tested in three companies, different in size and operating in different economic sectors. The results show that the level of risk depends not only on the scale and complexity of the business, but also on the degree of integration of ERP solutions. Periodic application of the risk assessment methodology helps identify problem areas and facilitates management decision-making. Full article

Understanding the long-term impact of historical land system failures on rural elderly dietary habits is essential for enhancing rural well-being. Existing studies focus on physiological effects but often neglect the deep-seated psychological mechanisms and resource boundaries driving irrational late-life consumption. By integrating the Stimulus-Organism-Response (S-O-R) model and compensatory consumption theory, this study uses balanced panel data from the CLHLS and a Cohort-Difference-in-Differences framework to identify causal effects. The results show that: (1) Early-life famine exposure creates a rigid life-cycle consumption imprint. Adolescent exposure leads to significantly higher levels of compensatory food consumption in later life despite current improvements in material conditions. (2) Learned helplessness drives historical trauma into compensation. Mechanism analysis shows that individuals attempt to restore a sense of order and security by controlling micro-level food intake. (3) The behavioral impact of this trauma depends on resource boundary conditions. The compensatory drive is stronger in resource-scarce regions but weakens with individual economic self-reliance. Additionally, professional community counseling shows a reversal effect, surpassing informal family support which suffers from a “compliance paradox”. These results are robust after a series of validation tests. Our study supports shifting rural revitalization policies from material aid to professional psychological intervention. Full article

The corrosion behavior and mechanism of Q235 steel during a two-year exposure to the subtropical marine atmospheric environment on an offshore platform in the East China Sea were investigated in this study. Methods including corrosion weight loss measurement, macro/micro-morphological observation (using a digital camera, SEM, and 3D-CLSM), composition analysis (XRD and XPS), and electrochemical tests (EIS and Tafel polarization curves) were employed to systematically examine corrosion kinetics, rust layer evolution, and electrochemical performance. The results indicated that the corrosion rate of Q235 steel initially increased and subsequently decreased with prolonged exposure, with the atmospheric corrosivity reaching CX level as defined (according to the ISO 9223 standard). The corrosion products transitioned from an early-stage rust layer predominantly consisting of γ-FeOOH to a later-stage layer primarily composed of α-FeOOH and Fe₃O₄. XPS analyses revealed that both the α*/γ* ratio and the Fe(II)/Fe(III) ratio increased over time, demonstrating a progressive improvement in the protective properties of the rust layer. The polarization resistance of the rust layer gradually rose, while the corrosion current density declined significantly, further confirming the enhanced stability and protective performance of the rust layer following long-term exposure. Chloride ions accumulated at defects within the rust layer, inducing local acidification, which played a key role in promoting the initiation and propagation of pitting corrosion. This study elucidated the corrosion behavior and mechanism of Q235 steel in the marine atmospheric environment of the East China Sea. Despite the increase in exposure time from 6 to 24 months, during which the electrochemical stability of the rust layer enhanced over time, it failed to prevent the initiation and propagation of severe localized corrosion—an issue of critical importance for load-bearing structures. The findings provide important theoretical and data support for service-life assessment and corrosion protection design of offshore photovoltaic steel structures. Full article

Present-day artificial intelligence systems (AI), virtual assistants, and devices connected to the Internet of Things (IoT) are playing an increasingly important role in decision-making processes in the everyday lives of individuals and daily operations of organizations. In this respect, the users’ trust is a key factor determining their acceptance and effective use. In contemporary digital ecosystems, this trust increasingly becomes a component of sustainable digital marketing, in which transparent data practices and responsible communication shape long-term consumer–technology relationships. This paper analyzes the halo effect as a psychological mechanism affecting the perception of competences, reliability, and ethics in the case of technologies based on AI. Based on the literature on behavioral economics, it was shown how positive associations with the interface, brand, or previous experience of the user may lead to excessive trust in technology. Such mechanisms also play a significant role in shaping sustainable consumption patterns, as users—guided by cognitive shortcuts—can adopt technologies in ways that either strengthen or weaken responsible digital behaviors. Moreover, the potential risks associated with this phenomenon were also indicated. The aim of this paper was to present how the utilization of the halo effect influences the generation of trust in smart systems and the formulation of implication for management practices and technology design. These implications are increasingly important in the context of sustainable digital marketing policy, where organizations must align persuasive communication with ethical standards and with rising expectations regarding sustainable digital transformation. Relationships between variables were analyzed using structural equation modeling (SEM), making it possible to verify complex dependencies between the perceived image of technology, the halo effect, and the users’ trust. This study tested three core hypotheses regarding the halo effect’s role, the foundational importance of security, and the mediating function of trust in technology adoption. The results of these analyses indicate that the halo effect significantly affects the level of trust in each of the investigated areas, with the strongest effect observed in the case of virtual assistants, where perception of the human-like characteristics of the interface considerably strengthened trust in the competences and reliability of the system. This finding has particular relevance for AI-driven personalization mechanisms, which increasingly guide consumer decision-making and shape their long-term behavioral patterns in online environments, with direct implications for sustainable consumption. This paper provides contribution to innovation management and technical marketing, stressing the importance of cognitive and emotional factors in the acceptance of new technologies. At the same time, it highlights the theoretical need to integrate responsible AI design with sustainable digital marketing strategies The findings suggest that ensuring trust, once established, has the potential to support not only technological innovation but broader societal goals related to responsible consumption, environmental stewardship, and long-term digital well-being aligned with sustainable development principles. However, this study stops short of empirically measuring sustainable consumption behaviors, offering instead a conceptual link that requires further empirical validation. Full article

Background: Wearable sensors and global positioning systems (GPS) can enable objective monitoring of training loads in outdoor endurance sports. In biathlons, comparing training characteristics across developmental stages can help identify structural gaps and support evidence-informed progression within long-term athlete development (LTAD). This study aimed to quantitatively compare the annual training characteristics of Korean male biathlon national team (NT) and university (UNV) athletes. Methods: Annual physical training data (2022–2024) from NT (n = 6) and UNV (n = 6) athletes were collected using Catapult Vector S7 GPS devices and Polar H10 heart rate monitors. Training volume, intensity distribution (zones 1–3 based on %HRmax), modality (skiing vs. running), and periodization were compared using Mann–Whitney U tests with rank-biserial correlation (r_rb). Results: NT athletes accumulated a higher annual training time and distance than UNV athletes (812 vs. 606 h; 6359 vs. 4130 km; p = 0.002, r_rb = 1.000 for both). The NT athletes spent a lower proportion of time on low-intensity training and a higher proportion on mid and high intensities than UNV athletes (p ≤ 0.015). During high-intensity training, NT athletes maintained a higher proportion of ski-specific training, whereas UNV athletes relied more on running (skiing: 78.5% vs. 46.4%; running: 21.5% vs. 53.6%; both p < 0.001, r_rb = 1.000). The UNV group also showed a more concentrated structure during competition periods than NT athletes (COMP: 28.3% vs. 14.6%; p < 0.05). The absolute annual strength training time did not differ, but UNV athletes showed a higher strength ratio (23.3% vs. 16.8%; p < 0.001, r_rb = 1.000). Conclusion: UNV athletes exhibited a lower total volume, more low-intensity-skewed distribution, and reduced ski-specific exposure during high-intensity training compared with NT athletes. These observed structural gaps can provide empirical benchmarks that may help coaches plan stage-appropriate progression, and they illustrate the practical value of GPS- and wearable-based monitoring for identifying training divergences across developmental stages. Full article

To address the challenges of rapid water loss and insufficient long-term inhibition efficiency of conventional inhibitors in the high-temperature environments of deep goafs, a novel, environmentally friendly Deep Eutectic Inhibitor (DEI) was synthesized. This DEI utilizes citric acid (Ca) and proline (Pr) as the hydrogen bond donor and acceptor, respectively, with ascorbic acid (VC) and propyl gallate (PG) serving as antioxidants. A moisture retention evaluation model based on Fick’s law of diffusion was established to systematically investigate the liquid-domain stability of the DEI across a temperature range of 30 °C to 120 °C. The results demonstrate that the DEI exhibits superior moisture retention capabilities under high-temperature conditions, with the relative moisture retention peaking in the 80–110 °C range. Mechanistically, the formation of a robust hydrogen bond network effectively counteracts moisture evaporation driven by thermal kinetic energy. Furthermore, the DEI demonstrated significant inhibition effects on four coal samples with varying degrees of metamorphism. Tests on oxidative heat release characteristics revealed that DEI treatment delayed the initial oxidation temperature of the coal. Kinetic analysis further indicated that during the critical oxidation stage (200–300 °C), the apparent activation energy of the treated coal samples increased by 10.28–18.9 kJ/mol, effectively suppressing the spontaneous combustion process. This study contributes to the development of high-efficiency and eco-friendly fire prevention materials for coal mines. Full article

Background: Tuberculous meningitis (TBM) is the most severe manifestation of tuberculosis in children, with high mortality rates and long-term neurological sequelae. Early diagnosis is challenging due to its nonspecific symptoms and insidious onset. Case Presentation: An 8-year-old previously healthy male, fully vaccinated, presented with a two-week history of fever, headache, vomiting, and abdominal pain. Cerebrospinal fluid (CSF) analysis revealed lymphocytic pleocytosis, elevated protein, and low glucose levels, while multiplex polymerase chain reaction (PCR) testing for bacteria and viruses yielded negative results. Brain computed tomography (CT) revealed mild ventricular dilation and pansinusitis. Empirical antibacterial and antiviral therapy were initiated; however, the patient subsequently experienced neurological deterioration, including cranial nerve deficits and hemiparesis. Brain magnetic resonance imaging (MRI) demonstrated acute infarctions of the basal ganglia, raising suspicion for TBM. Repeated CSF sampling and Xpert MTB/RIF assay confirmed infection with Mycobacterium tuberculosis. Anti-tuberculosis treatment was initiated in combination with adjunctive corticosteroids, anticonvulsant and anticoagulant therapies, and supportive care, including neurosurgical intervention for hydrocephalus. After 16 months of treatment, the patient showed clinical improvement but sustained left-sided hemiparesis, visual impairment, and cognitive deficits. Conclusions: This case highlights the diagnostic challenges of pediatric TBM in immunocompetent and Bacillus Calmette–Guérin (BCG)-vaccinated children, particularly in the presence of initially negative microbiological findings. It emphasizes the importance of maintaining a high index of clinical suspicion and the crucial supportive role of neuroimaging findings, as well as the earlier initiation of empirical TB therapy especially when epidemiological plausibility exists. Early recognition and intervention remain critical to reducing morbidity and mortality associated with this devastating disease. Full article

Sleep disorders are prevalent in the world, and they lead to severe health issues such as cardiovascular disease and cognitive disabilities. Conventional polysomnography-based diagnosis is based on manual EEG analysis under the supervision of trained specialists, which is time-consuming and may have inter-rater variability. Although the predictions of deep learning (DL) models on the task of sleep classification of EEG have been promising, they, in many cases, do not explain the multiscale, temporal dynamics that physiological signals are characterized by. In this work, a hybrid model that is a combination of CNN and multifractal detrended fluctuation analysis (MF-DFA) was proposed to detect localized temporal features and long-term fractal-based dynamics of single-channel EEG recordings. The performance of the suggested model was tested using two separate polysomnographic datasets: the CAP Sleep Dataset of five-class sleep disorder classification (Healthy, Insomnia, Narcolepsy, PLM, and RBD) and the ISRUC Sleep Dataset on the three-class subject-independent validation. In the CAP dataset, the framework had an accuracy of 86.38%. Cross-dataset transfer to the ISRUC Sleep Dataset, where only the classification head was fine-tuned on a small labeled subset while all feature-extraction layers remained frozen from CAP training, achieved 87.50% accuracy, demonstrating that the learned representations generalize across differing recording protocols, sampling rates, and diagnostic label spaces. The experiments of ablation proved the paramount importance of the MF-DFA features, and the lack of them led to low classification rates. The findings demonstrate the clinical feasibility of applying fractal analysis in conjunction with DL to detect sleep disorders in an automated, generalizable manner, suitable for use in large-scale monitoring and resource-starved clinical environments. Full article

Sustained innovation is pivotal for establishing long-term technological advantages and ensuring corporate sustainability, which holds particular significance for “specialized, refined, unique, and innovative” (SRUI) enterprises that concentrate on niche segments and are innovation-intensive. Grounded in signaling theory and principal–agent theory, and situated within the practical context of financing constraints, this paper investigates how environmental, social, and governance (ESG) performance contributes to sustaining innovation in such firms. Using panel data from Chinese SRUI enterprises between 2010 and 2023, we measure sustained innovation along two dimensions: sustained innovation input and sustained innovation output. The results demonstrate that ESG performance significantly enhances sustained innovation among SRUI enterprises. Mechanism analysis reveals that ESG operates through three pathways: optimizing talent structure, mitigating managerial myopia, and strengthening working capital management. Heterogeneity tests further indicate that the positive effect of ESG on overall innovation sustainability is stronger with a younger management team and lower government subsidies. Moreover, in firms with heightened climate risk perception, ESG strongly promotes the sustained innovation input but exhibits a weaker effect on the continuity of innovative output. In enterprises with stronger big-data technology application capabilities, ESG significantly improves the continuity of patent output yet does not significantly affect the continuity of innovative input. This study extends the literature on the economic consequences of ESG from the perspective of sustained innovation, while providing new mechanistic evidence for understanding how highly specialized small and medium-sized enterprises build long-term innovation capacity. Full article