Search Results (29,861)

Phase change materials (PCMs) integrated into building envelopes can store and release latent heat, reducing indoor temperature fluctuations and shifting thermal peaks. This study quantifies the time lag and comfort impact of PCM plaster under free-running conditions using two identical, instrumented model houses in Bácsalmás, Hungary. One house served as a reference, while the other was retrofitted with interior PCM plaster panels on four walls (51.2 kg paraffin, ≈8.12 MJ latent heat capacity). The temperatures of the walls, indoor air, and outdoor environment were monitored every five minutes for 105 spring/summer days. Daily peak times were extracted using moving-average smoothing, and time lags between exterior and interior wall peaks were computed. The PCM house exhibited roughly double the average lag compared with the reference (≈200 vs. ≈100 min), with lag distributions well described by lognormal fits. Comfort evaluation based on exceeded degree-hours (EDH) relative to the adaptive comfort range (EN 16798-1) revealed that larger peak-time lags correlated with lower overheating. Results confirm that PCM plaster significantly delays and attenuates daily temperature peaks, extends comfort periods, and supports passive strategies such as night ventilation and demand-side load shifting in lightweight buildings. Full article

Background: Over 80–90% of antimicrobial use occurs in primary health care, underscoring the need for specific data from this sector to inform practices and interventions to improve antimicrobial use. This study aimed to identify a wide range of research instruments in primary health care and qualitatively describe their structure, scope, and content. Methods: For the narrative review, we reviewed Medline (inception–November 2023) and agency/network websites to identify surveys on antimicrobial use prevalence in LMIC primary care. We applied no language restrictions and extracted survey instruments from publications or requested them from authors when unavailable. Results: We identified 450 studies and extracted 42 survey instruments issued between 1993 and 2023, all but one post-2000. These covered both multi-country (16.7%) and country-specific implementations across all WHO regions. Sampling units included households/consumers (24/42, 57.2%), health professionals (14/42, 33.3%), drug sellers (3/42, 7.1%), and bulk sales data (1/42, 2.4%). Surveys typically captured antimicrobial type, prescription status, and reason for use; AWaRe classification was mentioned only once. We found 13 stand-alone protocols on antimicrobial use and 4 on general medicine use. Conclusions: We identified diverse tools for measuring antimicrobial use in LMICs, though many lacked protocols or analytic support. Surveys often focused solely on antibiotics, used paper-based methods, and rarely referenced the AWaRe classification. Future efforts should broaden the scope beyond antibiotics, leverage digital data systems, include implementation protocols and analytic tools, report standardized indicators, and adopt AWaRe-related variables as a core criterion to strengthen AMU monitoring in PHC. Full article

The contamination of traditional Chinese medicines (TCMs) with neonicotinoid pesticides, notably acetamiprid (ACE), poses a significant challenge to product safety. Conventional detection methods are often hampered by operational complexity, prolonged analysis times, and dependence on sophisticated instrumentation, rendering them impractical for rapid on-site screening. To address these limitations, an indirect competitive enzyme-linked immunosorbent assay (ic-ELISA) was developed for the efficient quantification of ACE residue in TCM matrices. A monoclonal antibody-based ic-ELISA was developed through the synthesis of an ACE antigen. Critical assay parameters—including coated antigen concentration, antibody dilution ratio, and blocking buffer composition—were systematically optimized. The validated protocol was subsequently applied to ACE detection in five representative TCMs. The sensitivity (IC₅₀), limit of detection (IC₁₅), and detection range (IC₂₀-IC₈₀) of the developed ic-ELISA for ACE were 13.61 ng/mL, 0.50 ng/mL, and 1.00–150.99 ng/mL, respectively. The ic-ELISA demonstrated good stability and specificity, with cross-reactivity for ACE analogs all below 1.5%. Additionally, the ic-ELISA for ACE achieved recoveries of 86.87–104.80% in spiked TCM samples (Lonicerae Japonicae Flos, Lycii Fructus, Bulbus Lilii, Citri Reticulatae Pericarpium, and Jasminum sambae Flos), with relative standard deviations (RSDs) of 3.33–12.05%. The recovery rate of ic-ELISA was verified to be in good consistency with that of high-performance liquid chromatography (86.09–102.10%), indicating that ic-ELISA has acceptable accuracy and precision. This approach is simple and sensitive, making it suitable for the rapid quantitative detection of ACE residues in TCM products. It also provides technical references for the development of ic-ELISA for other small-molecule contaminants. Full article

Despite growing scholarly interest in leadership within entrepreneurial settings, little is known about how relational leadership operates in informal, resource-constrained ecosystems. This study examines how entrepreneurial leadership fosters positive relational dynamics and collaborative resilience within Ecuador’s highly informal entrepreneurial ecosystem. Drawing on entrepreneurial cognition and relational leadership theories, it investigates how entrepreneurs act as informal leaders who cultivate trust, empathy, and mutual support in the absence of formal institutional structures. Using an original mixed-method lexical–clustering design, data were collected from 880 micro and small entrepreneurs in Quito, who categorized 75 entrepreneurial attributes using a forced-choice instrument. Two dominant narratives emerged: collaborative resilience (65%), defined by empathy, adaptability, and social cohesion, and structural vulnerability (35%), marked by bureaucracy, fear, and emotional strain. Gender differences revealed that women emphasize relational stress and communal coping, while men focus on structural barriers and operational constraints. The findings extend leadership research by demonstrating how positive relational processes enable entrepreneurs to transform adversity into collective strength. The study advances relational leadership theory by revealing its cognitive and emotional foundations in nontraditional contexts. It offers policy insights for designing inclusive, trust-based ecosystems that promote psychological safety, collaboration, and sustainable entrepreneurship in emerging economies. Full article

The General AntiParticle Spectrometer is a balloon-borne experiment designed to search for low-energy cosmic-ray antinuclei as a potential indirect signature of dark matter. Over the course of at least three long-duration flights over Antarctica, it will explore the sub-$250 \mathrm{M}\mathrm{e}\mathrm{V}/\mathit{n}$ energy range with sensitivity to antideuterons and antihelium, while also extending antiproton measurements below 100 $\mathrm{M}$$\mathrm{e}\mathrm{V}$. The instrument features a tracker built from more than one thousand lithium-drifted silicon detectors, each read out by a dedicated custom integrated circuit. With the first flight scheduled for the austral summer of 2025, a new prototype chip, ANTARES4, has been developed using a commercial 65 $\mathrm{n}$$\mathrm{m}$ complementary metal-oxide semiconductor process for use in the second flight. It integrates eight independent analog channels, each incorporating a low-noise charge-sensitive amplifier with dynamic signal compression, a CR–RC shaping stage with eight selectable peaking times, and on-chip calibration circuitry. The charge-sensitive amplifier uses metal-oxide semiconductor feedback elements with voltage-dependent capacitance to support the wide input energy range from 10 $\mathrm{k}$$\mathrm{e}\mathrm{V}$ to 100 $\mathrm{M}$$\mathrm{e}\mathrm{V}$. Four alternative feedback implementations are included to compare performance and design trade-offs. Leakage current compensation up to 200 $\mathrm{n}$$\mathrm{A}$ per detector strip is provided by a Krummenacher current–feedback network. This paper presents the design and architecture of ANTARES4, highlighting the motivations, design drivers, and performance requirements that guided its development. Full article

Background: Diabetic retinopathy (DR), a leading cause of blindness, lacks early biomarkers and mechanism-targeted therapies. While oxidative stress drives DR pathogenesis, the role of oxeiptosis—a reactive oxygen species-induced, caspase-independent cell death pathway—remains largely unexplored. Methods: We integrated transcriptomic profiling (GSE221521: 69 DR vs. 50 controls), two-sample Mendelian randomization (MR) using blood cis-eQTLs (GTEx) as instruments and DR GWAS (FinnGen R12) as outcome, machine learning-based feature selection (SVM-RFE and Boruta algorithms), and single-cell RNA sequencing (scRNA-seq) analysis (GSE165784). Functional enrichment, immune deconvolution (CIBERSORT), and diagnostic nomogram construction were performed. We validated the key genes using human retinal microvascular endothelial cells (hRMECs) treated with high glucose (30 mM). Results: Oxeiptosis scores were elevated in DR blood samples (p < 0.001). MR analysis identified five putative causal genes: CASP2 (OR = 1.067), PLEC (OR = 1.035) and FBN2 (OR = 1.016) as risk factors, and CYP27A1 (OR = 0.960) and GPD2 (OR = 0.958) as protective factors. SVM-RFE and Boruta algorithms confirmed CASP2 and PLEC as hub genes. A nomogram incorporating both genes achieved robust DR prediction (AUC = 0.811). Functional analysis associated these genes with innate immune activation and extracellular matrix reorganization. Single-cell transcriptomics revealed PLEC was markedly overexpressed in disease-relevant cells (fibroblasts, endothelial cells), whereas CASP2 exhibited a distinct pattern, with notable enrichment in retinal CD8+ T cells. Both genes were associated with a pro-inflammatory shift in the immune landscape. Their upregulation was validated in independent datasets and high-glucose-stressed retinal cells. Conclusions: This study establishes an integrated multi-omics framework implicating oxeiptosis-related pathways in DR and nominates CASP2 and PLEC as putatively causal, biologically relevant candidate biomarkers and potential therapeutic targets. Full article

This study investigates the influence of optical loss induced by the macro-bending of optical fibers on the signal quality of an optical frequency-domain reflectometry (OFDR) system. First, the finite element software COMSOL 5.3 was used to perform numerical simulations of the optical loss of single-mode fibers under different bending radii. The simulations revealed that when the bending radius is relatively small, the optical loss exhibits oscillation as the bending radius varies. Next, an optical backscatter reflectometer (OBR) was employed to measure the optical loss of the optical fiber under different bending radii and numbers of bending loops. The experimental results showed good consistency with the simulation results, and the variation law of optical loss under different bending radii and numbers of bending loops was clarified. An OFDR strain demodulator was used to demodulate the strain signals under loaded conditions with different fiber bending radii and numbers of bending loops. It was found that when the cumulative optical loss increases to a certain threshold, the demodulated signal quality degrades significantly—this confirms that macro-bending loss directly impacts the SNR of OFDR output signals. The findings of this study provide practical guidance for the bending-oriented deployment of optical fiber sensors, which was successfully validated through a real-world structural strain monitoring case. Full article

Plasmonic- or metamaterial-based multi-narrowband perfect absorbers hold significant potential applications in filtering, photodetection, and spectroscopic sensing. However, it is rather challenging to realize multi-peak and narrowband absorption simultaneously only using plasmonic metallic materials due to the single or dual resonance and large optical losses in the metallic nanostructure. Here, we numerically demonstrate a new multi-narrowband perfect absorber based on the strong coupling between the Fabry–Perot cavity modes and the surface plasmon polariton waveguide modes in a nanostructure consisting of periodic Ag grating and Ag film separated by a SiO₂ waveguide layer. Six absorption peaks, an ultranarrow absorption resonance with FWHM as narrow as 8 nm, and an absorption peak amplitude surpassing 95% have been achieved. Furthermore, the optical properties of the designed nanostructures can be precisely tuned by modulating the grating period, slit width, height, as well as the thickness and refractive index of the waveguide layer. This approach establishes a versatile platform for designing high performance multi-narrowband absorbers, with promising applications in optical filters, nonlinear optics, and biosensors. Full article

Background/Objective: Nurse educators are central to consolidating nursing as a discipline and shaping professional identity, yet their preparation is heterogeneous. This study aimed to identify profiles of nurse educators based on the value they assign to teaching competencies and to analyze factors influencing these profiles. Methods: A cross-sectional, descriptive research design was applied, using convenience sampling to recruit 326 nurse educators from Spanish universities. Data were collected through a self-administered online questionnaire distributed to nursing faculty from public, private, and affiliated (semi-private) universities across Spain. The instrument included sociodemographic and academic variables, along with nine teaching competencies. Descriptive statistics, cluster analysis, ANOVA, chi-square tests, and multinomial logistic regression were conducted using SPSS. Results: Three distinct profiles of nursing faculty were identified. The academic–pedagogical profile assigned the highest importance to all competencies (means 4.78–4.91), the clinical–pragmatic profile assigned the lowest (3.61–4.04), and the intermediate–researcher profile showed moderate values (4.26–4.50). Doctoral degree (χ² = 65.36, p < 0.001) and pedagogical training (χ² = 33.89, p < 0.001) were the strongest predictors of membership in the academic–pedagogical group, confirmed in multivariate regression (OR for doctorate = 0.07; OR for pedagogical training = 0.13, both p < 0.001). Conclusion: This study delineates three coherent and statistically robust profiles of nursing faculty based on their appraisal of teaching competencies. Academic qualifications and pedagogical training emerged as key determinants of these profiles. Tailored faculty development strategies that reinforce doctoral-level preparation and pedagogical expertise are critical to advancing the quality and consistency of nursing education. Full article

Genealogy is a powerful analytical framework for understanding the cultural evolution of tribes, communities, and societies. This article demonstrates that the recurrent reliance on genealogical structures is a common feature of human societies, serving as a fundamental mechanism for cultural evolution through time, space, and culture. Based on comparative analysis of indigenous tribal societies (e.g., Aboriginal Australian kinship, Polynesian chiefly genealogies), agrarian civilizations (e.g., European feudal lineages, Chinese patriliny), and modern nation-states (e.g., nationalist mythmaking, DNA-based ancestry movements), this study reveals consistent patterns in genealogical functions. Drawing on an interdisciplinary perspective from anthropology, sociology, history, and evolutionary biology, it is argued that genealogical systems are not passive records of descent but dynamic forces of cultural continuity and adaptation. The evidence shows that, despite vast sociocultural differences, genealogy widely operates as a dual-purpose instrument. It preserves cultural memory and legitimizes political authority while simultaneously facilitating social adaptation and innovation in response to new challenges. The paper also critiques contemporary trends like commercial genetic genealogy, highlighting its potential for reconnecting diasporic communities alongside its risks of biological essentialism. Ultimately, the work establishes that the persistent and patterned reliance on genealogy from oral traditions to genetic data offers a critical lens for understanding the deep structures of cultural continuity and transformation in human societies. It further underscores the importance of genealogy in cultural evolution, historical persistence, societal transformation, and the construction of belonging in an increasingly globalized world. Full article

The publication analyses three criminal justice structures prominent in the scientific debate across various countries from the perspective of human rights, with particular emphasis on the principles of gender equality—the order to temporarily vacate the premises shared with the victim, the public-complaint nature of the offense of rape and the prohibition of mediation in cases of domestic violence. Their shared characteristic is their assumed support for victims of a specific type of criminal offenses, which justifies the premises and scope of these constructs (or the submitted postulates). The analysis has confirmed that all the indicated instruments unreasonably restrict the rights of victims. They are all grounded in a single model of the victim as a person—a weak, powerless woman, unable to decide about herself freely and without coercion. At the same time, it can be argued that they exemplify legal paternalism and systemic gender-based discrimination. Full article

Background/Aim: Social networks have transformed the traditional dynamics of identity construction in adolescence, allowing users to select content and interact with others who share similar views, thereby reinforcing a sense of belonging to homogeneous groups. Given the growing influence of digital interaction on social identity among youth, psychometrically sound instruments are needed to measure this process. This study aimed to evaluate the psychometric properties of both the 9-item (IBRS-9) and 6-item (IBRS-6) versions of the Identity Bubble Reinforcement Scale in a large sample of Chilean adolescent students. Methods: A cross-sectional design was used with 4096 participants (50.8% male, 47.8% female, 1.4% other; M = 15.82, SD = 1.30) from 41 secondary schools across Chile. Confirmatory factor analyses (CFAs) tested factorial validity, and internal consistency and external criterion validity were examined. Measurement invariance was assessed across sex, social media use, internet use, and age. Analyses were conducted using the WLSMV (Weighted Least Squares Mean and Variance Adjusted), and model evaluation was based on conventional goodness-of-fit indices. Results: CFAs supported the factorial validity of both IBRS versions, showing reliability and external criterion validity. Model fit indices indicated good fit for both scales. Invariance analyses confirmed factorial stability up to the strict level across all subgroups, indicating consistent psychometric performance. Conclusions: The IBRS-9 and IBRS-6 are valid and reliable instruments for assessing identity bubble reinforcement among Chilean adolescents, providing evidence of factorial stability and applicability for research and educational and psychosocial interventions. Their validated structure provides a consistent basis for examining social identity processes related to digital interaction. Full article

In road cycling, developing bike handling skills can prevent crashes and falls. Nevertheless, bike handling remains largely unexplored in the world of road cycling. The goal of this research was to develop a methodology to assess bike handling during races and training by estimating the rider–bicycle roll angle and road-plane accelerations from global positioning system (GPS) data only. A multi-dimensional bike-rider mathematical model was included in an optimal control framework to follow a reference trajectory generated from GPS data points. Estimated variables and experimental data collected with a cost-effective setup showed good agreement, i.e., root mean square error (RMSE) of 12° and 0.1 g for roll angle and both longitudinal and lateral accelerations, respectively, in the worst-case scenarios. This methodology might allow for the estimation of key bike handling variables during fast segments with cost-effective instrumentation. It can therefore constitute a tool for objectively assessing bike handling in road cycling training and racing. Full article

For processing timeliness, standardizing formats, and reflecting the variety of massive strong motion observation data of the National Seismic Network Center, we developed a strong motion data processing system applicable to different types of strong motion observation stations, which enables rapid data collection, processing, and archiving. It provides a human–machine interaction data processing interface to preprocess the acceleration record of seismic waveforms and analyzes the acceleration event waveform data by calculating ground motion, including peak ground acceleration, peak ground velocity, peak ground displacement, instrumental intensity, duration, Fourier spectrum, response spectrum, and triple spectrum. The system exports metadata and seismic record waveforms to archive and store the data. The system enables platform unity, function integration, and data completeness, playing an effective role in data processing and management for emergency and damage assessment, and scientific research on earthquakes. Full article

Background/Objectives: Spinal fusion with static fixation—surgically joining two or more vertebrae to eliminate motion—is commonly employed to treat degenerative spinal disease. However, the rigidity imposed by static constructs and the increased load on the adjacent segments frequently result in complications such as disc or facet degeneration, spinal stenosis (SS), and segmental instability. This study investigates the effectiveness of pedicle-based dynamic stabilization using the Dynesys system, particularly in a dynamic-transitional optima (DTO) hybrid configuration, in mitigating adjacent segment disease (ASD) and improving clinical outcomes. In this work, we analyzed the mechanical performance and intermediate-term clinical effects of the DTO hybrid lumbar device, focusing on how the load-sharing properties of the Dynesys cord–spacer stabilizers may contribute to junctional complications in individuals with diverse grades of intervertebral disc degeneration. Study Design/Setting: We designed a combined biomechanical finite element (FE) and experimental analysis to predict the clinical outcomes. Patient Sample: Among 115 patients with lumbar SS enrolled for analysis, 31 patients (mean age: 68.5 ± 7.5 years), with or without grade I spondylolisthesis (18/13), underwent a two-level DTO hybrid procedure—L4–L5 static fixation and L3–L4 dynamic stabilization—with minimal decompression to preserve the posterior tension band. Post-surgical follow-ups were conducted for over 48 months (range: 49–82). Outcome Measures: Radiological assessments were performed by two neurosurgeons, one orthopedic surgeon, and one neuroradiologist. The posterior disc height, listhesis distance, and dynamic angular changes were measured pre- and postoperatively to evaluate ASD progression. Methods: Dynamic instrumentation was assigned to the L3–L4 motion segment with lesser disc deterioration, in contrast to the L4–L5 segment, where static fixation was applied due to its greater degree of degeneration. FE analysis was performed under displacement-controlled conditions. Intersegmental motion analysis was conducted under load-controlled conditions in a synthetic model. Results: The DTO hybrid devices reduced stress and motion at the transition segment. However, compensatory biomechanical effects were more pronounced at the adjacent cephalad than the caudal segments. In the biomechanical trade-off zone—where balance between motion preservation and stabilization is critical—the flexible Dynesys cord significantly mitigated stiffness-related issues during flexion. At the L3–L4 transition level, the cord–spacer configuration enhanced dynamic function, increasing motion by 2.7% (rotation) and 12.7% (flexion), reducing disc stress by 4.1% (flexion) and 12.9% (extension), and decreasing the facet contact forces by 4.9% (rotation) and 15.6% (extension). The optimal cord stiffness (50–200 N/mm) aligned with the demands of mild disc degeneration, whereas stiffer cords were more effective for segments with higher degeneration. The pedicle screw motion in dynamic Dynesys systems—primarily caused by axial translation rather than vertical displacement—contributed to screw–vertebra interface stress, influenced by the underlying disc or bone degeneration. Conclusions: Modulating the cord pretension in DTO instrumentation effectively lessened the interface stress occurring at the screw–vertebra junction and adjacent facet joints, contributing to a reduced incidence of pedicle screw loosening, ASD, and revision rates. The modified DTO system, incorporating minimal decompression and preserving the posterior complex at the dynamic level, may be biomechanically favourable and clinically effective for managing transitional degeneration over the mid-term. Full article