Search Results (1,455)

Accurate runoff forecasting is vital yet challenged by the increasing non-stationarity of hydrological systems, which often exceeds the capacity of traditional single models. Ensemble forecasting, as an effective approach, integrates multiple models’ information to enhance forecasting performance and assess uncertainty. However, existing methods (such as Bayesian Model Averaging and BMA) still have limitations in dealing with complex hydrological scenarios, particularly in the construction and optimization of forecast intervals. This paper proposes a novel hydrological ensemble interval forecasting method based on constrained multi-model weight optimization (Constrained Multi-Model Weight Optimization, CMWO). CMWO utilizes a set of heterogeneous deterministic models to generate members, assigns dynamic optimization weight intervals to enhance flexibility, and employs a multi-objective framework to minimize interval width and errors subject to a ≥95% coverage constraint. Taking the Huangjinxia Reservoir in the upper reaches of the Hanjiang River as a case study, the CMWO method was systematically applied and evaluated for decadal-scale runoff forecasting and comprehensively compared with widely used BMA methods and individual models. The results show that CMWO significantly outperforms in improving point forecast accuracy (measured by RMSE, KGE, etc.) and interval forecast quality (evaluated by PICP, PIAW, CRPS, etc.), especially in generating narrower, more informative prediction intervals while ensuring high reliability. The CMWO method proposed in this study provides a competitive new tool for the effective management of forecasting uncertainty in complex hydrological systems. Full article

Macrophages are key innate immune cells in the host defense against pathogens. Ionizing radiation can impair macrophage functions such as phagocytosis and activate them, potentially exacerbating tissue injury. Macrophage extracellular traps (METs) are formed upon stimulation of macrophages with PAMPs or DAMPs. We hypothesized that macrophages exposed to ionizing radiation can release extracellular traps. Peritoneal macrophages were collected from C57BL/6 mice and subjected to 5 Gy radiation. We performed assays to detect METs, including the immunofluorescence of citrullination of histone H3 and cell-free DNA measurement in cell culture medium as well as cell death. The exposure of ionizing radiation killed a significant number of mouse peritoneal macrophages through pyroptosis, which was mediated by Gasdermin D (GSDMD). The onset of pyroptosis eventually caused METs by suicidal METosis via pyroptosis and vital METosis occurring in the cells surviving after exposure to radiation. We found that exposure of peritoneal macrophages to 5 Gy radiation significantly increased METosis, as revealed by increased levels of citrullinated histone H3 and an increased surface area of extracellular DNA surrounding the cells. We discovered that peptidyl arginine deiminase (PAD) 2 and 4 are required for peritoneal macrophages to generate extracellular traps in response to radiation exposure. Our data demonstrate that the ionizing radiation induces METs via the activation of GSDMD, and we confirmed the requirement of PADs for METosis after exposure to the ionizing radiation. Targeting METs may direct a new therapeutic strategy for mitigating radiation-induced tissue injury. Full article

The ecological network serves as a vital spatial strategy for addressing climate change, biodiversity loss, and habitat fragmentation. Addressing limitations in existing ecological network studies—such as strong subjectivity and insufficient accuracy in structural element identification, cross-regional integration, and resistance surface weighting—this research uses the Zhengzhou–Kaifeng–Luoyang region (ZKLR) as a case study. It introduces the self-organizing map (SOM) model to identify ecological sources and employs the XGBoost-SHAP model to optimize resistance surface weights, thereby reducing subjective weighting biases. Subsequently, the Linkage Mapper tool is utilized to construct the regional ecological network. The superiority of the SOM model for identifying ecological sources was confirmed by comparison with a traditional network based on morphological spatial pattern analysis (MSPA). Further integrating complex network topology theory, nodes attack the simulations-assessed network resilience and proposed optimization strategies. The results indicate the following: (1) The area of ecological sources identified by the SOM model is three times that of the MSPA model; (2) SHAP feature importance analysis revealed that elevation (DEM) exerted the greatest influence on the composite resistance surface, contributing over 40%, followed by land use and slope, with each contributing approximately 15%. High-resistance areas were primarily distributed in western and central mountainous regions and built-up urban areas, while low-resistance areas were concentrated in the central and eastern plains; (3) topological analysis indicates that the integrated ecological network (IEN) exhibits superior robustness compared to the structural ecological network (SEN). The edge-adding strategy generated 22 additional ecological corridors, significantly enhancing the overall resilience of the integrated ecological network; and (4) based on ecological network construction and optimization results, a territorial spatial protection strategy of “one belt, two cores, two zones, and three corridors” is proposed. This study provides a novel methodological framework for ecological network construction, with findings offering reference for ecological conservation and spatial planning in the ZKLR and similar areas. Full article

Background: Menstrual hygiene management (MHM) is a vital aspect of adolescent girls’ health and well-being. However, in many Gulf countries, including Saudi Arabia, this issue has received less attention because of cultural taboos, misconceptions, and a lack of knowledge about factors affecting menstrual hygiene practices. Thus, it is crucial to promote adolescent health and develop effective school-based interventions. Aim of the Study: Our aim was to assess menstrual hygiene practices and their determinants among adolescent girls in secondary schools in Bisha, Saudi Arabia. Methods: A cross-sectional descriptive approach was used to study 320 female secondary school students in Bisha City, southwestern Saudi Arabia. Sample: The subjects were selected by using a stratified random sampling procedure. Information was obtained using a previously validated and culturally sensitive self-administered questionnaire on knowledge and menstrual hygiene. Descriptive statistics, chi-square tests, and binary logistic regression analyses were conducted to determine factors associated with good menstrual hygiene practices. Results: A total of 320 adolescent girls participated, of whom 53.8% demonstrated good menstrual hygiene practices. In the multivariable analysis, independent predictors of good practices were increased age (AOR = 2.69, 95% CI:1.59–4.56), urban residency (AOR = 2.62, 95% CI: 1.46–4.69), and good menstrual knowledge (AOR = 2.13, 95%CI: 1.24–3.67). Maternal primary education (AOR = 8.033, CI: 1.44–44.99) and maternal employment in the government sector (AOR = 7.346, CI: 2.29–23.54) also showed strong positive associations with good menstrual hygiene practices. Conversely, experiencing menarche after age 12 was associated with lower odds of good menstrual hygiene (AOR = 0.49). Conclusions: Although a good proportion of girls practiced adequate menstrual hygiene, major knowledge and behavior gaps persist. Providing strong menstrual education in schools and through community-based efforts is critical for supporting the health of adolescent girls and promoting menstrual equity in Saudi Arabia. Full article

This article reviews recent advances in microwave and radar techniques for non-contact measurement of human vital signs in dynamic conditions. The focus is on solutions that work when the subject is moving or performing everyday activities, rather than lying motionless in clinical settings. This review covers innovative biodegradable and flexible antenna designs for wearable devices operating in multiple frequency bands and supporting efficient 5G/IoT connectivity. Particular attention is paid to ultra-wideband (UWB) radar, Doppler sensors, and microwave reflectometry combined with advanced signal-processing and deep learning algorithms for robust estimation of respiration, heart rate, and other cardiopulmonary parameters in the presence of body motion. Applications in telemedicine, home monitoring, sports, and search and rescue are discussed, including localization of people trapped under rubble by detecting their vital sign signatures at a distance. This paper also highlights key challenges such as inter-subject anatomical variability, motion artifacts, hardware miniaturization, and energy efficiency, which still limit widespread deployment. Finally, related developments in microwave imaging and early detection of pathological tissue changes are briefly outlined, highlighting the shared components and processing methods. In general, microwave techniques show strong potential for unobtrusive, continuous, and environmentally sustainable monitoring of human physiological activity, supporting future healthcare and safety systems. Full article

Pulsoximeters are widely used in the medical care of preclinical patients to evaluate the cardiorespiratory status and monitor basic vital signs, such as pulse rate (PR) and oxygen saturation (SpO₂). In many preclinical situations, air transport of the patient by helicopter is necessary. Conventional pulse oximeters, mostly used on the patient’s finger, are prone to motion artifacts during transportation. Therefore, this study aims to determine whether simulated helicopter vibration has an impact on the photoplethysmogram (PPG) derived from an in-ear sensor at the external ear canal and whether the vibration influences the calculation of vital signs PR and SpO₂. The in-ear PPG signals of 17 participants were measured at rest and under exposure to vibration generated by a helicopter simulator. Several signal quality indicators (SQI), including perfusion index, skewness, entropy, kurtosis, omega, quality index, and valid pulse detection, were extracted from the in-ear PPG recordings during rest and vibration. An intra-subject comparison was performed to evaluate signal quality changes under exposure to vibration. The analysis revealed no significant difference in any SQI between vibration and rest (all p > 0.05). Furthermore, the vital signs PR and SpO₂ calculated using the in-ear PPG signal were compared to reference measurements by a clinical monitoring system (ECG and SpO₂ finger sensor). The results for the PR showed substantial agreement (${\mathrm{CCC}}_{rest}$ = 0.96; ${\mathrm{CCC}}_{vibration}$ = 0.96) and poor agreement for SpO₂ (${\mathrm{CCC}}_{rest}$ = 0.41; ${\mathrm{CCC}}_{vibration}$ = 0.19). The results of our study indicate that simulated helicopter vibration had no significant impact on the calculation of the SQIs, and the calculation of vital signs PR and SpO₂ did not differ between rest and vibration conditions. Full article

(1) Background: This study presents an adaptive, contactless, and privacy-preserving respiratory-rate monitoring system based on thermal imaging, designed for real-time operation on embedded edge hardware. The system continuously processes temperature data from a compact thermal camera without external computation, enabling practical deployment for home or clinical vital-sign monitoring. (2) Methods: Thermal frames are captured using a $256\times 192$ TOPDON TC001 camera and processed entirely on an NVIDIA Jetson Orin Nano. A YOLO-based detector localizes the nostril region in every even frame (stride = 2) to reduce the computation load, while a Kalman filter predicts the ROI position on skipped frames to maintain spatial continuity and suppress motion jitter. From the stabilized ROI, a temperature-based breathing signal is extracted and analyzed through an adaptive median–MAD hysteresis algorithm that dynamically adjusts to signal amplitude and noise variations for breathing phase detection. Respiratory rate ($RR$) is computed from inter-breath intervals (IBI) validated within physiological constraints. (3) Results: Ten healthy subjects participated in six experimental conditions including resting, paced breathing, speech, off-axis yaw, posture (supine), and distance variations up to 2.0 m. Across these conditions, the system attained a MAE of $0.57\pm 0.36$ BPM and an RMSE of $0.64\pm 0.42$ BPM, demonstrating stable accuracy under motion and thermal drift. Compared with peak-based and FFT spectral baselines, the proposed method reduced errors by a large margin across all conditions. (4) Conclusions: The findings confirm that accurate and robust respiratory-rate estimation can be achieved using a low-resolution thermal sensor running entirely on an embedded edge device. The combination of YOLO-based nostril detector, Kalman ROI prediction, and adaptive MAD–hysteresis phase that self-adjusts to signal variability provides a compact, efficient, and privacy-preserving solution for non-invasive vital-sign monitoring in real-world environments. Full article

In this review we present a comprehensive overview of the published literature related to the use of Hybrid Cooperative Complexes (HCCs) of low- and high-molecular-weight hyaluronic acid in aesthetic medicine. HCCs have been developed to overcome the shortcomings of traditional hyaluronic based dermal fillers. Specifically, HCCs deliver both high- and low-molecular-weight hyaluronic acid (HA), maximizing their complementary effects. They are biocompatible and formulated without the addition of foreign agents. Cooperative hydrogen bonds extend their durability and make them more resistant to hyaluronidase compared to high-molecular-weight HA. The rheological properties of HCC formulations allow for easy exertion through the needle and diffusion in the tissue compared to high-molecular-weight HA alone. In vitro studies have shown that HCCs improve vitality of fibroblasts, keratinocytes and adipocytes, and stimulate production of collagen and elastin. Studies on scratched co-cultures of immortalized human keratinocytes and human dermal fibroblasts demonstrated that HCCs accelerate wound closure. Furthermore, HCCs delayed senescence of mesenchymal stromal cells to a greater extent than high-molecular-weight HA or low-molecular-weight HA alone. Clinical studies show a reduction in wrinkle severity, improvement in skin roughness profile and reduction of skin laxity with pronounced improvement in superficial skin hydration lasting up to 6 months. The formulation intended for restoration of fat compartments demonstrated reduction in cheek volume loss and improvement in skin thickness. Subjects report moderate-to-high satisfaction and are likely to recommend the treatment. Limitations of the published studies are also addressed, as well as reported adverse events and published safety data. Full article

The vitality of public space in traditional villages has emerged as a crucial issue central to both rural revitalization and cultural heritage preservation. This study applied a theoretical analysis grounded in Scene Theory to reveal the specific issues and propose spatial strategies. With a mixed-methods approach combining quantitative surveys and field investigations in Shen’ao Village, China, this study developed a spatial perception evaluation index which contains three dimensions of scene value and 15 specific indicators. The evaluation results indicate generally low satisfaction and vitality in public space, primarily due to deficiency in normalization and planning of spatial construction, disconnection between cultural preservation and utilization, inequality of functional supply and spatial distribution, and decoupling of spatial design and users’ emotional resonance. We propose targeted spatial strategies including experience enhancement through digital technology, mixed-use design, and an all-age suitable optimization approach. This study contributes theoretically by adapting Scene Theory to reveal the reasons for vitality decline in rural public spaces, and methodologically by offering a structured evaluation index that quantitatively assesses subjective feelings. This study also offers new perspectives and technical support for the rural public space development policy of village committees and local governments, thereby enhancing rural revitalization efficiency. Full article

Pulpitis is the inflammatory response of the dental pulp to microbial challenge and can range from mild to severe in nature, with severe pulpitis traditionally resulting in pulp removal and root canal treatment (RCT). In the pursuit of more conservative treatments, recent clinical practice guidelines have recommended strategies that preserve the vitality of the dental pulp, rather than RCT, when possible. This has increased the focus on improving the accuracy of pulp diagnosis, which will direct treatment and improve management outcomes. Unfortunately, current point-of-care (PoC) tools are subjective, lack discrimination and rely on the stimulation of pulpal neurons, limiting dentists’ ability to objectively identify the level of inflammation. Molecular biomarker assessment has the potential to dynamically analyse pulpitis and correlate this with inflammatory thresholds and treatment outcomes. Numerous chemokines, cytokines, proteases and growth factors exhibit altered expression during pulpitis and can be collected intraoperatively as part of routine dental treatment. Although current data indicate several markers that could be used as next-generation diagnostic chairside tools for pulpitis, there are currently no commercial kits. Considering the interest in vital pulp treatment, there is an urgent need to engage researchers, industry, dentists and other stakeholders in the development of PoC diagnostic assays for pulpitis. Full article

Set in the vocational education and training sector in England, this article draws attention to how top-down, centre–periphery approaches to curriculum design and development in vocational education fail for at least three reasons. First, they misconstrue the nature of knowledge. Second, they lead to perfunctory and fragmented approaches to curriculum design, coupled with mechanistic measures of quality and achievement, which often require little more than “one-off” and superficially assessed demonstrations of performance. Finally, they underplay the role and importance of the teacher as researcher and artist in putting the cultural resources of society to work in creative curriculum design and pedagogy. Teacher artistry is pivotal in animating and heightening the vitality of vocational curricula. It is through this artistry that teachers make theories, ideas and concepts in vocational subjects and disciplines accessible and meaningful to all learners in coherent ways in the contexts of their learning and their lives. The consequences of the epistemic faux pas underpinning centre-to-periphery models of curriculum design and development are highlighted in this article in vocational tutors’ accounts of experiences of problems and issues in curriculum design, development and assessment encountered in their practice. Participants in the research teach in a variety of vocational education settings, including Apprenticeships and Higher-Level Technical Education; English Language at General Certificate of Secondary Education (GCSE) level; Health and Social Care; Information and Communications Technology; Construction (Plumbing); Digital Production, Design and Development and High-Tech Precision Engineering. Data are analysed and reported through systematic, thematic analysis This article draws upon qualitative data derived from a study funded by the Education and Training Foundation (ETF) in England over a two-year period from 2021 to 2023. The research population consists of a group of eight practitioner–researchers working in three colleges of Further Education (FE) and one Industry Training Centre (ITC) in England. All of the teachers of vocational education reported here volunteered to participate in the study. Research methods include semi-structured interviews, analysis of critical incidents and case studies produced by practitioner–researchers from across the FE and Skills sector in England. Full article

A well-designed nighttime lighting environment not only enhances pedestrian comfort and urban vitality but also serves as a crucial factor in creating safe and livable urban spaces. However, existing studies on pedestrian safety at night remain relatively limited both domestically and internationally, and most rely primarily on ground-based measurements, making large-scale spatial analyses difficult to achieve. This study integrates night-time remote sensing, ground measurements and perception evaluations to analyze the light environments of three public space types—roads, business districts and squares—in Dalian, China. A light environment safety perception model and corresponding map are constructed to support optimization of lighting design in urban nightscapes. The main contributions are as follows: (1) subjective and objective research conducted on the night light environment safety perception of urban public space in Dalian; (2) fitting models are developed for each space type to relate measured illuminance to perceived safety, yielding recommended ground illuminance ranges: roads (4.02–10.10 lx), business districts (5.05–38.3 lx), and squares (6.46–12.52 lx); (3) models linking nighttime radiation data to measured illuminance are established, enabling the generation of an illuminance inversion map for Dalian. Based on this, safety classification maps for roads, business districts, and squares are produced. These are integrated with the residential area safety map to form a comprehensive safety classification map of Dalian’s urban area. Full article

The rising global burden of chronic diseases highlights the limitations of traditional dietary guidelines. Precision Nutrition (PN) aims to deliver personalized dietary advice to optimize individual health, and the effective implementation of PN fundamentally relies on comprehensive and accurate dietary data. However, conventional dietary assessment methods often suffer from quantification errors and poor adaptability to dynamic changes, leading to inaccurate data and ineffective guidance. Machine learning (ML) offers a powerful suite of tools to address these limitations, enabling a paradigm shift across the nutritional management pipeline. Using dietary data as a thematic thread, this article outlines this transformation and synthesizes recent advances across dietary assessment, in-depth mining, and nutritional intervention. Additionally, current challenges and future trends in this domain are also further discussed. ML is driving a critical shift from a subjective, static mode to an objective, dynamic, and personalized paradigm, enabling a loop nutrition management framework. Precise food recognition and nutrient estimation can be implemented automatically with ML techniques like computer vision (CV) and natural language processing (NLP). Integrating with multiple data sources, ML is conducive to uncovering dietary patterns, assessing nutritional status, and deciphering intricate nutritional mechanisms. It also facilitates the development of personalized dietary intervention strategies tailored to individual needs, while enabling adaptive optimization based on users’ feedback and intervention effectiveness. Although challenges regarding data privacy and model interpretability persist, ML undeniably constitutes the vital technical support for advancing PN into practical reality. Full article

Synthetic cathinones represent the second most frequently reported group of new psychoactive substances identified annually, according to the United Nations. It remains unknown whether specific derivatives differ in the onset of effects related to absorption kinetics. Clephedrone (4-chloromethcathinone, 4-CMC) has been among the most frequently seized cathinones in recent years; however, available data on its pharmacology and abuse potential remain scarce. A non-controlled, prospective, observational study was conducted involving eight healthy volunteers (six women) who self-administered a single oral dose of clephedrone (100 or 150 mg). Study variables were assessed at baseline and over a 5-h period following administration, including vital signs and subjective effects. Oral fluid concentrations of clephedrone and cortisol were determined. For comparison, this article also presents previously unpublished data from a pilot study in which 12 healthy male participants received 150 or 200 mg of methylone under comparable conditions to evaluate effects. Results indicated that both clephedrone and methylone produced stimulant-like subjective effects. However, clephedrone exhibited a delayed onset and peak of effects compared with methylone, indicating a clinically relevant pharmacokinetic difference. Both substances were detected in oral fluid, with peak concentrations occurring later following clephedrone administration, consistent with its delayed pharmacodynamic profile. Full article

Progressive pulmonary fibrosis (PPF) is an emerging subset of fibrotic interstitial lung diseases (ILD), defined by progressive fibrosis despite standard treatment in patients with other than idiopathic pulmonary fibrosis. The international guidelines recommended the use of nintedanib for PPF, while evidence supporting pirfenidone remains insufficient. In this study, we aimed to evaluate the efficacy and safety of pirfenidone in treating PPF. In this retrospective single-center study, we analyzed clinical data from patients with PPF who were treated with pirfenidone. Lung function data from six months before and after pirfenidone treatment were collected to assess changes over time. Missing values were imputed using a general linear mixed model (GLMM) for longitudinal data analysis. Of 33 subjects, the median age was 65.0 years, and 51.5% were female. Rheumatoid arthritis-related ILD was the most common subtype (45.5%). The median daily dose of pirfenidone was 600 mg, with a median treatment duration of 7.3 months. GLMM analysis showed a significant forced vital capacity (FVC) improvement, from −114 mL in the 6 months before treatment to +47.3 mL in the 6 months after treatment (p = 0.001). All adverse events related to pirfenidone were mild. In conclusion, the use of pirfenidone in PPF can potentially reduce the rate of FVC decline in real clinical practice. Full article