Search Results (3,973)

Background: Cardiovascular diseases remain important causes of morbidity and potential premature mortality in children. Although clinical imaging and electrophysiologic testing have advanced, early, minimally invasive biomarkers that can both detect myocardial injury and help differentiate among overlapping pediatric phenotypes are still limited. Circulating microRNAs (miRNAs; miRs) are becoming attractive biomarker candidates because many are abundant in the heart, actively released into the circulation, and remarkably stable in plasma. The study aimed to assess the expression of miR-1-3p, miR-let-7b-5p, miR-21-5p, and miR-26b-5p in children with cardiovascular disease. Methods: Children aged 10–18 years with cardiac arrhythmias, myocarditis, or cardio-myopathies were recruited. The control group consisted of healthy age- and sex-matched children. For each participant, peripheral venous blood was collected for plasma isolation and miRNA profiling. The expression of miR-1-3p, miR-let-7b-5p, miR-21-5p, miR-26b-5p, and UniSp6 molecules was analyzed using the comparative cycle threshold delta Ct (ΔCt) method. A p-value ≤ 0.05 was considered statistically significant. Results: miR-26b-5p was significantly downregulated in patients with cardiac disease compared with healthy controls. miR-21-5p and miR-26b-5p were downregulated in patients with ventricular arrhythmia. Moreover, miR-26b-5p was downregulated in arrhythmia in general. We found no significant difference in the expression of miR-1-3p, miR-let-7b-5p, miR-21b-5p, and miR-26b-5p between patients with and without myocarditis, as well as with and without hypertrophic cardiomyopathy. Conclusions: miR-26b-5p may distinguish young patients with cardiovascular disease and those with arrhythmias from healthy individuals. miR-21-5p and miR-26b-5p may also be seen as potential biomarkers of ventricular arrhythmia. Further studies involving a larger sample size are required to obtain sufficient data and validate these findings. Full article

Introduction: Smoking cigarettes is widely recognized as a significant risk factor for tooth loss. Objectives: The aim of this study was to assess the association between cigarette smoking, smoking cessation, and the number of remaining teeth in an adult population. Methods: Data from the Bialystok Plus population study, collected between November 2018 and January 2024, were analyzed. Participants were stratified into young (20–44 years), middle-aged (45–64 years), and older (65 years and above) groups. The outcome was the number of lost teeth. Smoking status (non-smoker vs. ever smoker and former smoker vs. current smoker) and smoking duration were the main independent variables. Additional variables included age, sex, dental habits and medical history. Risk factor analysis was done with generalized linear models using the negative binomial family. Results: Ever smoking was significantly associated with tooth count. Differences in the number of remaining teeth between former and current smokers were observed across age groups but not in the overall population. Current smokers exhibited a significantly greater decline in the number of teeth with an increasing fraction of life spent smoking compared to former smokers. Negative binomial regression models showed that ever smoking, when adjusted for age and diabetes, was a risk factor of tooth loss, but a protective effect of smoking cessation was not confirmed. Conclusions: This study confirmed that tobacco addiction is associated with tooth loss. Being a current smoker remained non-significant as a risk factor for tooth loss when compared to former smoker status. Full article

Plants of the genus Opuntia are cacti that grow under natural conditions, with scarce humidity, drastic changes in daytime and nighttime temperatures, and poor soils. Their fruits are a food source in certain regions of the world, and their modified stems (cladodes) have diverse uses, including human consumption—especially when young, tender, and succulent (“nopalitos”) —livestock feed, and raw material for various products. There are approximately 300 species and dozens of variants of this genus, identified as wild, semi-domesticated, or domesticated. The physiological and biochemical responses to abiotic stress in these species are diverse but are related to their Crassulacean acid metabolism and the level of domestication. The morphological modifications in fruits, seeds, and cladodes of the genus Opuntia during domestication appear to be the sum of numerous significant biochemical-physiological changes, but generally of small magnitude. Thus, evaluating wild, semi-domesticated, and domesticated Opuntia species allows us to understand the physiological and biochemical processes along a natural gradient (original and modified by natural and artificial selection and by the cultivation environment) and their alteration by abiotic stress of any kind. This review summarizes our main advances in considering the genus Opuntia as a model for evaluating abiotic stress in the physiology and biochemistry of succulent plants. Furthermore, it shows high relevance, especially in the context of climate change, because Opuntia species are key to food security in arid zones. Full article

Background/Objective: Athletes’ dietary needs are influenced by the physiological demands of their sport, so the impacts of disrupted food access may vary from those experienced by the general population. This study aimed to develop and validate the Athlete Food Insecurity Scale (AFIS), a sport-specific tool designed to measure food insecurity in athletes. Materials and Methods: The study included 500 young adult athletes from 18 different sports disciplines. The sample was divided for exploratory factor analysis (n = 300) and confirmatory factor analysis (n = 200). Standard procedures for scale development were followed, including content validity assessment, construct validity testing, convergent validity analysis, and reliability evaluation. Results: The final 23-item scale demonstrated a four-factor structure including performance changes, coping strategies, basic nutritional needs, and physical access restraints. Factor loadings ranged from 0.344 to 0.956, item–total correlations from 0.513 to 0.781, and Cronbach’s alpha coefficients from 0.827 to 0.937. Confirmatory factor analysis supported the modified model with acceptable fit indices (χ²/df = 2.41, RMSEA = 0.080, TLI = 0.900, CFI = 0.910), and standardized factor loadings ranged from 0.53 to 0.89 (p < 0.05). Subscale scores differed significantly across Household Food Security Survey Module food security categories, supporting convergent validity. Conclusions: The AFIS demonstrates strong psychometric properties and may provide a sensitive tool for identifying and monitoring sport-specific food insecurity among athletes. Full article

C₁₃-Norisoprenoids are important contributors to the aroma of Riesling wine. Their quantification is analytically challenging due to their low concentrations, the lack of commercial standards and their pronounced sensitivity to analytical conditions, reflecting their chemical lability, as well as the dynamic nature of the wine matrix, leading to high reactivity and, consequently, remarkable structural diversity. Here, we developed an assay for the analysis of C₁₃-norisoprenoids in wine using headspace solid-phase microextraction coupled to gas chromatography–mass spectrometry (HS-SPME–GC-MS/MS). After evaluating different fiber materials, a statistical design of experiments (DoE) approach was employed to systematically optimize key HS-SPME parameters, including incubation, extraction and desorption conditions. Selected reaction monitoring (SRM) transitions were established for all targeted C₁₃-norisoprenoids, allowing the assay to provide relative quantification of more than 40 compounds using representative labeled and unlabeled standards to generate linear calibration curves. Following method validation, this approach was applied to a young German Riesling wine to investigate the effect of various acidic hydrolysis conditions on the norisoprenoid profile as well as on specific compounds. A central composite design (CCD) was used to systematically study the impact of pH, temperature, and hydrolysis time. Quantitative data were obtained for 22 C₁₃-norisoprenoids demonstrating that hydrolysis conditions strongly affected the norisoprenoid composition. pH and temperature showed a greater influence than reaction time. Response surface models (RSM) indicated that TDN, Vitispirane and TPB in particular are predominantly formed under strongly acidic and high-temperature conditions, whereas others such as Riesling acetal and actinidols are formed under milder conditions. The results indicate that hydrolysis conditions should be tailored to the specific norisoprenoid under investigation and the research question, particularly when simulating conditions of accelerated wine ageing for analytical purposes. Full article

Background: Infections caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have generated major public health concerns worldwide. Young adults represent a critical group for viral transmission due to their high proportion of asymptomatic infections. Objective: To characterize the dynamics of SARS-CoV-2-specific antibodies in individuals aged 20–29 years from Bogotá, Colombia, across two longitudinal phases. Methods: Phase I assessed seroprevalence, seroconversion, spatial clustering, symptoms associated with seropositivity and antibody kinetics following natural infection. Phase II evaluated vaccine-induced antibodies, immune memory, and neutralizing capacity. Analyses included Functional Principal Component Analysis, survival analysis, clustering, and predictive modeling. Results: In Phase I, a seroprevalence of 15.59% (17/109 participants enrolled) was observed, while seroconversion among those who completed all six sampling points was 30.18% (16/53), with clusters of positive cases in different areas of Bogotá. The symptoms most associated with seropositivity included mucus hypersecretion, fever, and respiratory difficulty. Antibody responses were heterogeneous: naturally infected individuals generally showed high titers during the first 1–2 months, remaining detectable up to 4 months. The reduction in dimensionality suggested dominant humoral patterns, and clustering revealed two immune profiles differing in the risk of seroconversion. Predictive modeling indicated diverse antibody trajectories over 12 months. In Phase II (2024), three long-term immune memory clusters (low, medium, high) were observed; post-vaccination IgG titers were observed, although in most cases they lacked neutralizing activity. Conclusions: This longitudinal exploratory observational study provides an initial characterization of antibody dynamics in young adults, suggesting their potential epidemiological relevance and offering preliminary insights into post-infection and post-vaccination immunity. Full article

Responding to the lack of academic research on how young people are impacted by deepfake sexual abuse or how schools should address these issues, this paper explores levels of awareness of AI technology and sexualized deepfakes in UK schools and how schools are responding to these newly emergent harms. Drawing on interviews with students and teachers from eight schools across the UK, we found that teachers and students express uncertainty about how AI deepfake technology works. Some teachers underestimated how easy the technology is to use, and they lacked uniform comprehension that sexualized deepfakes should be treated the same way as non-consensual nudes, leading to inconsistency and variations in school responses. Students similarly lacked basic literacy about AI, equating AI with LLMs like ChatGPT, and even though sexualized deepfakes were occurring in their school contexts, students reported having received no explicit education on the topic. Educators and students connected sexualized deepfakes to a rise in misogyny via social media influencers, with some of the students and teachers calling for more education on AI, sexual violence, and consent at earlier ages. We advance the concept of AI-generated image-based sexual abuse, arguing that these harms should be understood as elements of technology-facilitated gender-based violence (TFGBV). We argue this framing is necessary to support systematic understandings of this issue and develop appropriate school responses. Our discussion offers recommendations for improving AI literacy, including preventative AI education that engages critically with AI harms and supports victims. Full article

Background/Objectives: Young women with breast cancer (aged ≤ 40 years) have distinct prognostic characteristics, yet little is known about how modifiable body composition factors influence outcomes in this age group. This study examined whether CT-derived body composition measures could identify thresholds that predict overall survival (OS). Methods: This was a single-center, 10-year, matched case–control study nested within a cohort, utilizing retrospectively collected data. Using an institutional database (2009–2018) and the initial cohort of 112 patients, we performed a subset analysis of patients with stage I–III breast cancer at diagnosis who had available pretreatment CT scans to estimate associations with body composition metrics and OS. The final analytic dataset included 89 individuals (49 survivors and 40 deceased). CT scans at the L3 level were analyzed using Slice-O-Matic software to quantify visceral (VAT), subcutaneous (SAT), intermuscular (IMAT), total adipose tissue (TAT), skeletal muscle density (SMD), skeletal muscle gauge (SMG), and skeletal muscle index (SMI). Cox proportional hazard models determined optimal cutpoints for OS. Multivariable models included adjustments for disease stage and hormone receptor status. Results: The median age was 35 (IQR, 32–38); 47% were White and 37% were Black. The majority (78%) were not Hispanic or Latina. Most (67%) were overweight/obese. Specific thresholds for IMAT index (>2.57), VAT (>31.38), and SMG (<2419.89) were associated with worse survival (all p < 0.05), while no cutpoints were identified for other variables. Conclusions: These findings show that muscle fat infiltration and reduced muscle quality have important prognostic value in young women with breast cancer. Exploratory cutpoints derived from routine staging CT scans may help inform risk stratification and generate hypotheses for targeted nutritional or exercise interventions, but require validation in larger, independent cohorts before clinical application. Full article

Photocatalysts have emerged as a promising approach for the treatment of contaminated water, particularly for the removal of dyes and pharmaceutical residues that pose risks to human health. In addition, they can be employed for the generation of chemical fuels such as H₂ and oxidizers such as H₂O₂, which have been proposed as sustainable energy carriers to reduce reliance on fossil fuels. The first part of this brief review provides a detailed overview of the fundamental concepts of photocatalysis, including reaction pathways and reported mechanisms. The second part explores the main design strategies for enhancing photocatalytic performance, including morphology control and structural modification. Then, the third section highlights the benefits of theoretical modeling, including first-principles calculations and molecular simulations. The document culminates with a section on challenges and future perspectives, highlighting major issues in photocatalyst development such as large-scale synthesis, material stability, and reusability. This brief review is intended to provide young researchers with a concise understanding of the most effective strategies for enhancing photocatalytic performance, as well as the mechanisms influencing morphology and structural parameters. This work presents an integrated framework linking synthesis strategies, particle growth mechanisms, multidimensional nanostructures, in situ and operando characterization, and computational modeling to guide the rational design of next-generation photocatalysts. Full article

Background: Anhedonia denotes a reduced capacity of experiencing pleasure, which is often reported by individuals with psychiatric disorders such as depression and polysubstance use disorders. Since anhedonia is a critical factor influencing the well-being of psychiatric and general populations, it is important to investigate predictors of anhedonia. Method: We conducted a survey in N = 300 young adults aged 18 to 30 (M = 25.45, SD = 3.66). As predictors of anhedonia, we examined polysubstance use, problems with social media use, coping styles, and mindfulness. We controlled for age, gender, education, and the frequency of leisure activities. Results: Together, the predictors explained 20% of the variance in anhedonia. We found a positive association of polysubstance use with anhedonia, indicating that the more substances individuals consumed, the more anhedonia they reported. Problems with social media were not significantly related to anhedonia. Concerning coping styles, individuals with a more problem-focused coping style (e.g., planning) reported significantly lower levels of anhedonia, whereas emotion-focused coping (e.g., seeking social support) was unrelated to anhedonia. Mindfulness negatively correlated with anhedonia. Conclusions: The present study adds to research on behavioral and dispositional predictors of anhedonia and underlines the positive impact of mindfulness and problem-focused coping on anhedonia. Full article

Airborne electromagnetic (AEM) surveys map subsurface electrical structures by deploying transmitter and receiver coils on an airborne platform. However, platform-induced vibrations are transmitted to the sensors, generating strong motion-induced noise that severely degrades signal quality. To mitigate such noise, this study proposed the use of granular materials as a cushioning medium. An impact model based on the Discrete Element Method (DEM) was developed and validated against drop-weight experiments. Both granular material properties and impactor characteristics were investigated. The study examined the cushioning effects on both the base plate and the impactor under impact loading, and the sensitivity of key parameters was evaluated. The results showed that granular properties had minimal influence on the impactor peak force. Increasing particle Young’s modulus, density, or friction coefficient led to higher peak forces on the base plate, with Young’s modulus and density having significantly stronger effects than friction coefficient. Additionally, both the impactor size and velocity correlate positively with the peak forces transmitted to the base plate and experienced by the impactor. Under thin layer conditions, the impactor force was more sensitive to impact parameters, while in thick layers it was mainly determined by particle rearrangement and energy dissipation mechanisms. These findings reveal the mechanisms governing granular cushioning and provide a theoretical basis for vibration isolation design in AEM systems to preserve high-fidelity signals. Full article

Introduction: Lower urinary tract symptoms (LUTSs), including urinary incontinence (UI), are common problems present in the general population. However, these symptoms have also been seen in young, elite-level athletes, especially females, including those who are nulliparous. This preliminary study aimed to report on the prevalence of LUTSs within an elite athletic population, including both males and females, within the UK high-performance system (the Sports Institute of Northern Ireland) and a women’s elite cycling team, while also investigating the link between LUTSs and specific training and sporting activities. Methods: A cross-sectional study of elite athletes in the Sports Institute of Northern Ireland (SINI) and a women’s professional cycling team, using an online questionnaire, was conducted to investigate the prevalence of LUTSs and UI and their impact on quality of life (QOL) among both male and female elite athletes. The authors used the STROBE-SIIS guidelines to produce separate electronic questionnaires for male and female athletes. This is a preliminary pilot study due to the small sample size. Results: Ten male athletes completed the IPPS questionnaire, reporting a median score of 5.5/35. Meanwhile, 18 female athletes completed the Athlete Female LUTS (A-FLUTS) questionnaire and reported a median score of 6/44. Female athletes had a higher prevalence of UI in the last four weeks (66.7%) compared to male athletes (20%). Of the 28 athletes, 7 were explosive/sprint athletes, and 21 were endurance athletes. Explosive/sprint athletes (71.4%) appeared to have a higher prevalence of UI in the last four weeks compared to endurance athletes (42.9%). Athletes self-managed these UI symptoms through a variety of methods, including reducing fluid intake, which could impact their athletic performance. This is a preliminary pilot study and—despite its small size—it defines a methodology and shows some important results that encourage research to be carried out on a larger sample size. Conclusions: The reported QOL impact and potential impact on health and athletic performance highlight the need for better management and treatment protocols, including the need to screen for urinary symptoms in the pre-season medical. Full article

Massage relieves stress and anxiety, but also helps to reduce musculoskeletal problems, decreasing tension, in all stages of life. For pediatric use, organoleptic properties, cosmetic safety and user acceptability of topical products are important given the higher frequency of irritative or allergic episodes in young skin. We evaluate for the first time the comprehensive cosmetic performance of Physiorelax Forte Plus natural formulation in cream, spray and roll-on applied regularly in healthy and active children/adolescents. 210 healthy volunteers were included (150 adults with sensitive skin and 60 children and adolescents [6–16 years]). This three-part, sequential, observational, non-comparative pilot design monitored user experience under real-world conditions: (I) Open-label testing to assess skin compatibility in adults (N = 60); (II) In-use testing in adults for cosmetic acceptability and safety over 14 days (N = 90); (III) In-use testing in children/adolescents for 14 days (N = 60). Outcomes were dermatological assessments for tolerability and user (and/or parents/caregiver(s)-reported) satisfaction/acceptability and perceived benefits. No control group or objective efficacy measures were included. Among pediatric participants, no cutaneous reactions were observed at application sites after 14 days of use. Proxy reporting about consumer satisfaction and acceptability for the range were generally high. Principal component analysis revealed a clear three-cluster structure (sensory, functional, practicality), with roll-on driving the strongest differentiation across items and spray aligning most closely with sensory attributes, while cream showed an intermediate functional profile. The Physiorelax Forte Plus range demonstrated a favorable cosmetic safety profile and consumer acceptability in pediatric use under real-world conditions. Findings are limited by the observational, unblinded design, absence of a control group, and reliance on subjectively reported outcomes; no clinical or pharmaceutical claims are implied. Future controlled studies incorporating objective dermatologic endpoints, benchmark products, and direct child/adolescent reporting are warranted. Full article

Unlike conventional virtual idols like Hatsune Miku, which rely on pre-set voice libraries and stage scripts, AI-customized virtual idols achieve real-time interaction through generative artificial intelligence, continuously iterating their personality traits, language style, and even value expression along with fan and user interactions. AI-customized virtual idols, as pre-defined cultural commodities in the digital age, tend to focus on static, functional interpretations and have not yet fully entered the dynamic construction process as “subjects in the process of generation.” This study, based on a deep mediation perspective, employs a research method combining app roaming and semi-structured interviews to focus on the sociological examination of young fan groups’ use of AI tools to customize virtual idol companionship. It explores the reciprocal relationship between fan groups and customized virtual idols. The study finds that the AI-customized idols fan group constitutes a typical “actor group,” and its interaction practices are essentially a “fluid interaction” of human–machine intimacy. Young fan groups mainly interact with AI-customized virtual idols based on materiality, cognition, visibility, and emotional frames, thereby generating rich meaning production and symbolic imagination during the usage process. Fan groups and AI-customized virtual idols have developed different relationship paths, including mutual attachment, returning to normalcy, seeking substitutes, or direct withdrawal, revealing the inherent contradictions and tensions in digital intimacy, as well as the self-adjustment strategies of individuals under the mediation of technology. This process presents a “human-machine-idol” triadic relationship framework, becoming a new paradigm for intimacy in the digital age. Full article

Distributed recycling of high-density polyethylene (HDPE) into filament for use in material extrusion 3D printing has been proposed as part of a circular economy. There is a gap in the understanding of the potential for HDPE to release contaminants that are potentially hazardous to human health during reuse. Herein, HDPE from post-consumer packaging waste was sorted into food and non-food (NF) streams and virgin HDPE was taken as a benchmark material. All materials were extruded into filaments and recycled multiple times while monitoring emissions. In general, particle and organic chemical emissions decreased by 93 to 99% and 73 to 99%, respectively, with increased reprocessing cycle without appreciable decline in mechanical (Young’s modulus decreased by 5 to 16%), processability (melt flow index stable from 0.2 to 0.7 g/10 min for waste plastics), and thermal properties (crystallinity ranged from a 6% decrease to a 9% increase) of plastics. An exception was a sub-stream of NF plastic that had increased particle emissions (up to 3100%) with reprocessing cycle. Reductions in emissions during filament extrusion appeared to be more influenced by reprocessing cycle than by any specific process step (grinding, etc.). The progressive decline in emissions without appreciable loss of polymer integrity could be exploited to pre-condition HDPE to reduce potential hazardous emissions prior to extruding into filament. This work helps fill the knowledge gap on approaches to recycling plastics in distributed settings such as home-based businesses, which is critical for developing effective recommendations for controls to enable safe work practices such as the use of ventilation to minimize exposures. Full article