Search Results (16,558)

Plastic shrinkage and self-desiccation, along with the associated early-age cracking, are still among the most important factors that influence long-term performance of concrete structures, including durability. Superabsorbent polymers (SAPs) have been widely researched for application in concrete to mitigate shrinkage through facilitating effective internal curing by releasing water into the mixture to promote continuous hydration of cement. The acoustic emission (AE) monitoring technique, due to its high sensitivity, has proven very effective in tracking the process of water release by SAPs in concrete during early-stage curing. Typically, AE parameters such as cumulative activity, amplitude and energy are utilized to characterize the kinetics of curing processes. While these parameters indicate well the internal activity of SAPs in time, they do not offer information on the precise location of the active sources within the material’s volume, leaving a crucial gap in the understanding of the ongoing microstructural changes caused by internal water distribution and cement hydration. In this sense, AE event source localization can offer information about the active zones of water hydration activity in the material 3D domain, allowing detection of their evolution during concrete curing. Meanwhile, Acoustic Emission Tomography (AET) computes ultrasonic velocity distributions in different periods of monitoring, which are governed by acoustic characteristics of the concrete mixtures, to visualize material stiffness development spatially and temporally. This level of insight is particularly important for SAP concrete, where uniformity of internal water curing is essential for ensuring long-term durability and material soundness. By visualizing how the hydration sources evolve in real time, these methods offer an effective, non-destructive, and cost-effective solution for early-age concrete quality control, which would be challenging to achieve through other techniques. Full article

Against the backdrop of global climate change, climate warming and increasing nitrogen deposition are profoundly altering carbon (C) and nitrogen (N) cycling in terrestrial ecosystems. Short-term observations are critical for capturing the initial response trajectories of soil C-N dynamics to environmental stress, providing timely insights into early-stage adaptation mechanisms that underpin long-term ecosystem stability. This study investigated the interactive effects of these drivers on soil C and N transformation rates, component dynamics, and their coupling relationships in a warm steppe and a warm shrub grassland within the forest–steppe ecotone of northwestern Liaoning Province. We employed field-controlled experiments using open-top chambers for warming in combination with four nitrogen addition gradients. Results showed warming plus high N addition increased soil total N but reduced net N mineralization, supporting the “N saturation hypothesis”. Though N addition generally suppressed the C conversion rate, low-level N (5 g N m⁻² a⁻¹) mitigated C loss and enhanced it under warming. Soil organic C and microbial biomass C drove C transformation. Warm shrub grassland’s stable mineral-associated organic C pool rose 640.5% (stronger resilience), while warm steppe’s C/N turnover depended on seasons (greater vulnerability); C/N transformations were synchronized in the steppe but independent in shrubland. Full article

Physiologic changes during pregnancy, advanced maternal age, and cardiovascular comorbidities have been associated with an increased incidence of cardiovascular emergencies (CVEs) manifesting during pregnancy and puerperium, thereby adversely affecting maternal and fetal morbidity and mortality. When a CVE occurs, prompt and high-quality medical management is essential. However, the early diagnosis and management of CVEs in pregnant women are often challenging, as the initial clinical presentation of many of these conditions may mimic common symptoms of a normal pregnancy, resulting in significant diagnostic delays. Furthermore, the administration of optimal medical or interventional therapy in critically ill pregnant women should be carefully considered, balancing maternal well-being and survival against the potential risks that certain medications and interventions may pose to the fetus. Consequently, treatment decisions should involve a multidisciplinary medical team, comprising cardiologists, obstetricians, emergency physicians, anesthesiologists, neonatologists, and other relevant specialists. This review aims to summarize the current diagnostic approaches and management strategies for the most prevalent CVEs encountered during pregnancy, and explore the challenges faced in diagnosing and treating pregnant individuals compared to the non-pregnant population, emphasizing the differences and knowledge gaps in this area. Full article

According to the EFSA Report on Zoonoses (2024), yersiniosis was classified as the fourth most commonly reported zoonosis in humans in 2023, with a 13.5% increase in yersiniosis infections compared to 2022. In 2024, the findings were consistent with the 2020–2023 trend. Isolation and identification of enteropathogenic Yersinia is difficult and time consuming, especially when examining food and environmental samples. Among them, Y. pseudoturbeculosis poses a challenge due to the lack of a single selective medium for all bioserotypes. Therefore, faster methods for the detection of Yersinia spp. need to be implemented into the praxis. Rapid identification of pathogens in food or at the time and location of the epidemiological outbreak (point-of-care testing) enables either prevention of the outbreak or early stage diagnosis and prompt decisions. The loop-mediated isothermal amplification (LAMP) is increasingly coming to scientists’ attention as a robust and rapid methodology for pathogen detection in laboratories with limited resources and equipment. The aim of current study is to evaluate, for the first time, the sensitivity of the LAMP protocol based on colorimetric detection in the visible spectrum in comparison with that of the digital droplet PCR (ddPCR). For this aim, a series of decimal logarithmic dilutions of the pathogen Y. pseudotuberculosis in artificially contaminated raw goat milk was used. One commercial LAMP kit with two different dyes (one dsDNA-binding and one Mg²⁺-sensitive) was compared to the sensitivity of the detection to ddPCR. The results obtained revealed a high sensitivity of the kit for detection of DNA isolated from artificially contaminated milk samples in the following range: visible detection based on visible color change—3.1 × 10⁴ mL (violet dye) and 3.4 × 10³/mL (blue dye); detection with gel electrophoresis—2.0 × 10¹/mL (violet dye) and 3.4 × 10²/mL (blue dye). The enumeration of the DNA copies in the same samples was performed with ddPCR, with a detection limit of 2.0 × 10¹/mL. Our results indicate the potential and the possible applicability of the LAMP method for rapid and sensitive visual detection of Y. pseudotuberculosis in raw goat milk. The presented ddPCR protocol can be used for highly sensitive identification and enumeration of Y. pseudtuberculosis in raw goat milk. In conclusion, the conducted comparison is of importance for future implementation of LAMP protocols for on-field analysis near the sampling site and point-of-care or laboratory diagnostics of Y. pseudtuberculosis after the successful validation procedure of an appropriate LAMP protocol. Full article

The intensification of large-scale wildfires, driven by climate change, presents a critical threat to agricultural ecosystems, specifically during the vulnerable sowing season in March. Departing from the prevailing focus on urban air quality, this study elucidates the spatiotemporal dynamics of particulate matter (PM) in eight major Korean agricultural regions during the March 2025 wildfires. By employing a Generalized Additive Model (GAM), we characterized the complex non-linear interactions between PM concentrations and meteorological variables. The analysis reveals a substantial elevation in PM levels during the wildfire event relative to the pre-fire baseline. Most notably, the Sangju region experienced the most acute accumulation, with PM-10 and PM-2.5 concentrations surging by 74% and 46%, respectively; this intensification was significantly compounded by topographic trapping and surface inversion phenomena. Furthermore, GAM results identified temperature and relative humidity as the primary determinants of PM retention, whereas wind speed demonstrated a distinct non-linear, U-shaped effect, facilitating particulate resuspension at higher velocities. These findings quantitatively underscore the susceptibility of agricultural environments to wildfire-induced aerosols and highlight the imperative for establishing agriculture-specific monitoring networks and early warning protocols to safeguard crop productivity. Full article

Insecticide resistance in Aedes aegypti (Linnaeus, 1762), the primary vector of several arboviruses, threatens vector control efficacy and motivates evaluation of current and candidate public health insecticides, such as imidacloprid and broflanilide, and their molecular impacts. Here, we used RNA sequencing (RNA-seq) to characterize the transcriptomic response to one-hour acute exposure to an operational partial-mortality concentration (<50%) of imidacloprid and broflanilide in two Ae. aegypti strains: a field-derived, pyrethroid-resistant population from San Nicolás and a susceptible laboratory strain (New Orleans). Adults were exposed for 1 h to partial-mortality concentration (<50%) doses of each insecticide or acetone control, and differential gene expression and Gene Ontology (GO) enrichment were assessed with DESeq2-based workflows. We detected pronounced baseline transcriptomic differences between strains and extensive activation of gene expression after insecticide exposure, with a strong bias toward up-regulation. A shared transcriptional core involving proteolysis, transmembrane transport, detoxification pathways, and structural remodeling of the cuticle and cytoskeleton was identified across contrasts. Despite these common elements, broflanilide elicited largely conserved early responses between strains, whereas imidacloprid amplified pre-existing divergence and produced marked population-specific transcriptional signatures. These findings suggest greater transcriptional changes in the field-derived strain, particularly in response to imidacloprid, and highlight the importance of integrating population-specific molecular information when designing insecticide rotation schemes and resistance management strategies targeting Ae. aegypti. Full article

The majority of breast malignancies arise from breast ducts at the small-scale level. Understanding the wave characteristics of breast ducts may assist in developing new technologies to detect very early changes that precede breast cancer. In this study, a two-phase nonlocal integral model is developed to analyse the biomechanical behavior of breast ducts under flexural wave propagation. The influence of surface stiffness, surface residual stress, stress nonlocality, and stromal matrix is taken into consideration. The breast duct consists of different biological layers, including the basement membrane, myoepithelial cells, and luminal epithelial cells. Surface properties are calculated for the outer basement membrane and inner luminal epithelial cell layer. The results of the two-phase nonlocal integral model are validated using available molecular dynamics simulations. In addition, various machine learning algorithms, such as a neural network model, gradient boosting, random forest, logistic regression, and Ridge regression, are developed and integrated with the two-phase nonlocal model to better understand the flexural wave characteristics of breast ducts. Incorporation of two-phase nonlocal integral stress effects, surface energy, and residual stress reduces the root mean square error from 4.16 to 0.24 when compared against molecular dynamics simulation data. Full article

 Background/Objectives: Inflammatory Bowel Disease (IBD) often occurs during early adulthood and substantially affects physical, psychological, and relational well-being. Although sexual health is a fundamental component of quality of life, it is rarely addressed in clinical practice and remains insufficiently explored in research. This study aimed to explore the lived experiences of individuals with IBD regarding sexuality and intimate relationships. Methods: Qualitative phenomenological design was adopted. Nineteen adults with a confirmed diagnosis of Crohn’s disease or Ulcerative Colitis were purposively recruited from a gastroenterology and endoscopy unit of a university hospital in Southern Italy. Data were collected through in-depth, audio-recorded interviews conducted in Italian, transcribed verbatim, and analyzed using Cohen’s phenomenological method. Lincoln and Guba’s criteria were applied to ensure methodological rigor. Results: Five main themes and two subthemes emerged. Participants reported that IBD profoundly affected their sexual lives, not only through physical symptoms but also by eliciting emotional distress and avoidance behaviors. Stigmatization of symptoms such as incontinence and bloating frequently led to withdrawal from physical intimacy. Changes in body image, including weight fluctuations, scarring, and fear of a possible stoma, were associated with feelings of shame and self-alienation. Sexuality was often described as mechanical and emotionally detached, although some participants reported processes of relational reconnection. Concerns about relationship stability and uncertainty about the future were common, alongside a persistent lack of communication with healthcare professionals regarding sexual health. Conclusions: Sexual health in people with IBD is essential yet frequently overlooked. A holistic and empathetic approach that integrates sexual health into routine IBD care may enhance emotional well-being, improve partner communication, and strengthen the overall quality of care.  Full article

To achieve Level 4 and above autonomous driving, vehicle localization must remain accurate and reliable under diverse real-world conditions, including complex traffic scenarios, environmental changes, and partial sensor failures. Conventional localization approaches primarily rely on geometric consistency among multi-sensor observations, which can produce physically or contextually implausible pose estimates when sensor reliability degrades or observations become ambiguous. This paper proposes a semantic localization framework that integrates ontology-based semantic reasoning directly into the localization process. The proposed approach reformulates localization as a context-aware constraint selection problem guided by semantic consistency among objects, places, and vehicle poses. By evaluating logical and contextual validity at the hypothesis generation stage, semantically invalid pose hypotheses are eliminated early, and only situation-appropriate semantic constraints are selectively applied during optimization. As a result, compared to the localization system without semantic rules, the proposed framework achieves an average reduction of approximately 35.6% in mean localization error and 47.0% in maximum localization error across both longitudinal and lateral directions. Specifically, the framework supports structured multi-sensor fusion by selectively using sensor information semantically relevant to the driving context. Through this semantics-driven hypothesis reduction, the system reduces computational complexity while enhancing localization robustness and accuracy, particularly under sensor degradation and dynamic environmental conditions. The design of the semantic reasoning structure is also adaptable to cooperative perception scenarios, such as V2V-based information sharing. Full article

Background/Objective: Human papillomavirus (HPV) represents the most widespread sexually transmitted infection globally, with high-risk strains such as HPV16 driving a rising incidence of oropharyngeal squamous cell carcinoma (OPSCC), particularly in developed countries like the United States and United Kingdom. In the U.S., HPV16-associated OPSCC has surpassed cervical cancer as the most common HPV-related malignancy. Despite the availability of preventive vaccines, uptake remains suboptimal among adolescents and shifting sexual behaviors have contributed to increased disease burden. Early detection remains a major clinical challenge due to the absence of defined precursor lesions and the extended latency between viral exposure and disease onset. Most patients present with advanced-stage disease and no prior clinical history of pre-malignancy, limiting access to early-stage samples and hindering biomarker discovery. Methods: To address these limitations, we developed an in vitro HPV16 oral cancer model, using the three-dimensional organotypic raft culture system that simulates the progression of HPV16-transfected oral epithelium from precancerous states to malignant phenotypes. Results: Using HPV16-transfected human tonsil keratinocytes, we generated stratified and differentiated epithelia that mimic the biochemical and structural changes observed in vivo. This system enables detailed monitoring of epithelial differentiation, biochemical shifts, viral genome status, and key oncogenic and metabolic markers associated with HPV16-driven OPSCC. By aligning expression profiles with clinical datasets, we validated the model through the measurement of virologic markers linked to infection and progression, as well as tissue markers indicative of carcinogenic transformation. Conclusions: This model offers a promising tool for refining early detection strategies and evaluating potential clinical biomarkers, ultimately aiming to improve diagnostic precision and therapeutic outcomes in HPV-associated OPSCC. Full article

Background: A high level of physical fitness is a critical factor for optimal soccer performance. Therefore, developing key physical components such as sprinting, jumping, and change of direction (CoD) abilities from an early age is essential for both short- and long-term athletic success. While previous research in adolescent male athletes has demonstrated improvements in physical fitness following eccentric training, the effects of such training during the pubertal stage remain unclear. This study examined how an eccentric training program, combining the Nordic hamstring exercise with horizontal speed deceleration training, influenced physical fitness parameters in prepubertal soccer players. Methods: Thirty-six players were randomly divided into an ET group (n = 19) or an active control group (CG; n = 17). Both groups maintained their regular soccer training routines, with the ET group replacing 15 to 25 min of low-intensity drills with eccentric exercises twice per week for eight weeks. Pre- and post-intervention assessments included 20 m linear sprint speed, change of direction, agility, vertical jump, and standing long jump. Results: Significant group-by-time interactions were observed for all performance measures (p < 0.05), with moderate-to-large improvements in the ET group (d = 0.56 to 1.51; ∆3.83% to 14.95%) and no significant changes in the CG (d = 0.05 to 0.24; ∆0.38% to 1.31%). Individual response analysis indicated that 57 to 100% of players from the ET group and 23–58% from the CG group reached improvements beyond the smallest worthwhile change (SWC_0.2). Conclusions: Collectively, these findings support the inclusion of eccentric training interventions, such as the Nordic hamstring exercise and horizontal speed deceleration training, to enhance sprinting, jumping, directional changes, and agility in young soccer players. Full article

Human coronavirus 229E (HCoV-229E) is an alphacoronavirus that typically causes mild upper respiratory infections but remains understudied in terms of its long-term immuno-ecological behavior. Although the COVID-19 pandemic markedly altered human behavior and viral transmission, extended circulation patterns of HCoV-229E remain poorly defined. We analyzed annual, seasonal, and age-specific trends using real-time PCR–based respiratory virus surveillance data from Dankook University Hospital collected between 2007 and 2024. Among 23,284 nasopharyngeal swab specimens, 344 were positive for HCoV-229E (overall positivity, 1.43%). Positivity declined significantly over time (OR per year, 0.916; 95% CI, 0.894–0.939; p < 0.001). Compared with spring (1.04%), positivity was highest in winter (2.69%) and lowest in summer (0.29%) (both p < 0.001), whereas autumn (0.81%) showed no significant difference. Early childhood (1–5 years) demonstrated a higher likelihood of positivity than infants aged 0 years (aOR, 1.51; p = 0.007) and the highest crude positivity rate (1.89%). Although underlying mechanisms were not directly assessed, this long-term analysis documents a persistent decline and attenuation of seasonal dominance in HCoV-229E detection beyond the period of pandemic-related suppression. These findings underscore the value of sustained laboratory-based surveillance in identifying and tracking long-term changes in respiratory virus circulation patterns and in supporting public health monitoring aligned with Sustainable Development Goal 3 (SDG 3). Full article

Feline chronic kidney disease is a leading cause of mortality in geriatric cats, characterized by a progressive and irreversible loss of renal function. Despite its high prevalence, early diagnosis remains challenging due to nephron compensatory mechanisms and the limited sensitivity of traditional biomarkers, creating a diagnostic gap that necessitates the exploration of novel biomarkers for earlier detection. This review examines the complex pathophysiology of the disease, including renin–angiotensin–aldosterone system activation, tubulointerstitial fibrosis, and mineral metabolism disturbances. By analyzing recent scientific literature, this work evaluates current diagnostic landscape and clinical relevance of emerging biomarkers. Evidence indicates that symmetric dimethylarginine and fibroblast growth factor-23 improve detection of early metabolic and filtration changes, while urinary biomarkers like cystatin B and retinol-binding protein provide specific insights into tubular injury. Bridging the diagnostic gap requires a transition from a reactive, azotemia-based framework to a multi-parametric diagnostic approach that integrates novel biomarkers with serial clinical and laboratory monitoring. Although financial constraints and limited availability restrict widespread clinical implementation, incorporating these advances is essential for earlier prognostic stratification and timely therapeutic decision-making. This integrated strategy has the potential to slow disease progression and improve survival and quality of life in cats with chronic kidney disease. Full article

Since the first synthetic macrocyclic receptors were shown to bind ions selectively, supramolecular host–guest chemistry has enabled the translation of molecular recognition events into physical signals. Early coupling of such receptors to ion-sensitive field-effect transistors established a bridge between supramolecular chemistry and solid-state electronics. Today, this bridge is rebuilt in iontronics, where ions carry information through nanoconfined media and ionic transport becomes highly sensitive to electrostatic gradients, surface charge, and surface molecular interactions. As a result, ionic flux can serve as an efficient transduction mechanism that responds precisely, reversibly, and rapidly to changes in the chemical environment. Within this regime, host–guest chemistry offers a powerful means to exert direct control over ionic behavior, allowing molecular recognition to modulate conductance, rectification, and ion selectivity, thereby conferring practical function to nanofluidic systems. This review highlights systems in which host molecules act as chemical actuators that modulate nanochannel surface chemistry, thereby regulating ionic flux and enabling reversible, tunable, and stimulus-responsive behaviors. We survey architectures in which crown ethers, calixcrowns, pillararenes, and related hosts are integrated into solid-state nanochannels, emphasizing representative achievements such as biological-level Na⁺/K⁺ selectivity in crown ether-based systems and nanomolar-level detection of ions using calixcrowns- and pillararene-functionalized nanochannels. Finally, we discuss how temperature, pH, light, and redox state act as external stimuli that reversibly switch between conductive states, yielding ion-selective platforms for sensing and ion sieving. Full article

Background: Hyperbaric oxygen therapy (HBOT) has regenerative effects in various tissues, but its impact on hair follicles is unclear. This preliminary study evaluated HBOT-induced changes in hair and scalp characteristics in healthy adults. Methods: Nine healthy volunteers completed 50 HBOT sessions over three months (2.0 ATA, 100% oxygen, 90 min per session). Objective assessments included follicle density, hairs per follicle, hair volume, and shaft thickness using the Becon phototrichogram system. Subjective evaluations were conducted via a 7-point Likert questionnaire on scalp appearance, hair density, thickness, growth, and shedding. Pre- and post-treatment data were compared using paired statistical tests. Results: Positive trends were observed in follicle density (61.3→66.8 counts/cm²), hairs per follicle (1.24→1.33), and hair volume (24.9→27.7%), though not statistically significant. Hair shaft thickness decreased significantly (0.18→0.10 mm, p = 0.011), consistent with early anagen-phase regrowth. Subjective assessments showed significant improvements across all domains (p < 0.05). Scalp imaging visually supported these findings. Conclusions: HBOT may enhance hair follicle activation and scalp health in healthy adults. These preliminary findings justify further controlled studies to explore HBOT as a non-pharmacological approach to hair regeneration. Full article