Search Results (2,754)

Infrared (IR) spectroscopy has emerged as a rapid, cost-effective, and reliable alternative to traditional methods, enabling real-time, indirect monitoring of nutrients. Most reviews have discussed visible-near-infrared (Vis-NIR) and mid-infrared (MIR) spectroscopy individually for soil analysis. This review highlights the application of IR spectroscopy, particularly Vis-NIR, MIR spectroscopy, and their data fusion, coupled with chemometrics and spectral preprocessing for estimating soil attributes. Additionally, the crucial functions of assessing model accuracy and validating model estimates of soil properties are discussed. Partial least squares regression (PLSR) was used in more than 100 studies in 2022. Based on the literature published from 2020 to 2025, the data fusion method predicts soil properties more accurately. This review also sheds light on recent advances in spectroscopic methods, including improvements in speed (e.g., MIR spectroscopy is up to 12 times faster than traditional methods), instrument miniaturization, and integration with portable devices, which can make field analysis more affordable. However, the sensitivity of IR spectroscopy to soil moisture, sample heterogeneity, vegetation cover, and calibration transfer issues remains a significant challenge in certain studies. Therefore, a discussion on the challenges in implementing this technique is included in this review, and future perspectives, such as integration of various sensors and portable devices for real-time soil assessment, are successively discussed. Full article

Background/Objectives: The transition to higher education is a critical phase of human development that makes adolescents and young adults particularly vulnerable to mental health problems, such as depression, anxiety, and stress. This study aimed to evaluate the psychometric properties of the Portuguese version of the Depression, Anxiety and Stress Scale-21 Items (DASS-21) among first-year undergraduate nursing students. Methods: A methodological study was conducted with 225 undergraduate nursing students, aged 17 to 18 years, from a higher education institution in central Portugal. Data were collected using the Google Forms platform. Confirmatory factor analysis was conducted to test three competing models: a single-factor model, a three-factor correlated model, and a second-order factor model. Reliability was assessed using composite reliability, and validity was evaluated using average variance extracted and the Fornell–Larcker criterion for discriminant validity. Results: Factor analyses revealed that the three-factor correlated model fit the data best overall, showing superior fit indices compared to the competing models (χ²/df = 2.37; CFI = 0.90; and RMSEA = 0.08; TLI = 0.88 and SRMR = 0.04). Composite reliability was high across all tested models, ranging from 0.84 to 0.94. The analysis of score distributions by category revealed a high prevalence of severe or extremely severe symptoms of anxiety, stress, and, to a lesser extent, depression. A statistically significant association was found between higher symptom severity and prior familiarity with mental illness. Conclusions: The DASS-21 proved to be a valid and reliable instrument for assessing psychological distress in higher education students. These findings underscore the urgent need for mental health programs in higher education institutions that focus on early detection and intervention, particularly for students initiating their studies and those with a history of mental health problems. Full article

This paper examines the impact of industrial energy efficiency on household energy poverty in the twenty-seven Member States of the European Union for the period 2003–2023. Although the literature has widely discussed energy efficiency as an enabler of decarbonisation and economic performance, its direct link to energy poverty at the macro level has rarely been analysed, let alone with respect to structural changes in industry. Filling this gap, this paper evaluates whether reductions in industrial energy intensity result in reduced energy poverty, understood as the share of households unable to maintain adequate indoor thermal comfort. Empirical analysis relies on a balanced panel dataset and uses fixed-effects regression models to take into account unobserved country-specific and time-specific heterogeneity. In addition, potential endogeneity between industrial energy intensity and labour productivity is addressed by the instrumental variable approach using two-stage least squares. The main models also include key macroeconomic and social control variables: real GDP per capita, social benefit expenditure, electricity prices for households, and unit labour costs. The results yield a robust and statistically significant positive link between industrial energy intensity and energy poverty, suggesting that efficiency improvements in industry make a quantifiable difference in household energy deprivation. This effect even increases in strength after the correction for endogeneity, thereby corroborating the causal relevance of productivity-driven efficiency gains. The findings also show substantial heterogeneity between EU Member States, indicating that national structural features will determine baseline levels of energy poverty. However, no strong evidence is found for an indirect price-mediated transmission mechanism or for moderation effects bound to income levels or social expenditure. This study provides sound empirical evidence that industrial energy efficiency is an important but structurally conditioned lever to alleviate energy poverty in the European Union. The results emphasise the integration of industrial efficiency policies with social and institutional frameworks while designing strategies for a just and inclusive energy transition. Full article

Objectives: Breast cancer treatment has increasingly shifted toward integrating patient-reported outcomes into surgical decision-making. However, Romania has lacked a validated instrument to evaluate quality of life (QoL) after breast reconstruction. This study aimed to translate, culturally adapt, and clinically validate the Romanian version of the BREAST-Q Reconstruction Module, and to assess postoperative changes in QoL following immediate and delayed breast reconstruction. Methods: A prospective observational study enrolled 116 patients undergoing immediate or delayed implant-based or autologous reconstruction between June 2023 and June 2024. The BREAST-Q was translated using standardized forward–backward methodology, followed by expert review, pilot testing, and psychometric validation. Patients completed preoperative and 1-year postoperative BREAST-Q questionnaires. Statistical analyses included Cronbach’s α, intraclass correlation coefficients, paired and independent t-tests, Pearson correlations, and ANCOVA to assess the impact of radiotherapy and other clinical factors on postoperative outcomes. Results: The Romanian BREAST-Q showed excellent internal consistency (α = 0.947) and strong test–retest reliability (ICC = 0.81–0.92). Both immediate and delayed reconstruction significantly improved psychosocial well-being and breast symptoms (p < 0.001). Immediate reconstruction produced modest gains in physical well-being, whereas delayed reconstruction yielded a substantial increase in breast satisfaction (effect size d = 1.33). Breast sensation significantly decreased in both cohorts. Within delayed reconstructions, deep inferior epigastric perforator (DIEP) flaps were associated with higher physical well-being, whereas latissimus dorsi (LD) flaps demonstrated slightly better sensory outcomes. Radiotherapy had a strong negative effect on postoperative breast satisfaction (p < 0.001) after adjusting for covariates. Conclusions: The Romanian BREAST-Q is a valid, reliable instrument for evaluating QoL after breast reconstruction. Reconstruction improved multiple QoL domains, although sensory decline persisted across techniques. Symmetrization and DIEP reconstruction enhanced postoperative comfort, while radiotherapy remained a major predictor of lower satisfaction. These findings support the need for integrative reconstructive strategies that address aesthetic, functional, and sensory outcomes. Full article

The separate-layer gas injection technology is a key means to improve the effect of refined gas injection development. Currently, the measurement and adjustment of separate injection wells primarily rely on manual experience and automatic measurement via instrument traversal, resulting in a long duration, low efficiency, and low qualification rate for injection allocation across multi-layer intervals. Given the different CO₂-containing natural gas injection rates across different intervals, this paper establishes a coupled flow model of a separate-layer gas injection wellbore–gas distributor–formation based on the energy and mass conservation equations for wellbore pipe flow, and develops a solution method for determining gas nozzle sizes across multi-layer intervals. Based on the maximum allowable gas nozzle size, an optimization method for multi-layer collaborative allocation of separate injection wells is established, with minimum wellhead injection pressure and layered injection allocation as the optimization objectives, and the opening of gas distributors for each layer as the optimization variable. Taking Well XXX as an example, the optimization process of allocation schemes under different gas allocation requirements is simulated. The research shows that the model and method proposed in this paper have high calculation accuracy, and the formulated allocation schemes have strong adaptability and minor injection allocation errors, providing a scientific decision-making method for formulating refined allocation schemes for separate-layer gas injection wells, with significant theoretical and practical value for promoting the refined development of oilfields. Full article

This study examines whether historical legal traditions continue to influence contemporary environmental policy and carbon emission outcomes. Using data from the OECD Climate Actions and Policies Measurement Framework (CAPMF) and the World Bank’s World Development Indicators for 50 countries over 1990–2023, this analysis applies ANOVA and post hoc tests to assess differences in climate policy stringency and CO₂ emissions across four major legal families: Common Law, French Civil Law, German Civil Law, and Scandinavian Law. The findings reveal that legal origin significantly affects the stringency of sectoral and cross-sectoral climate policies, particularly after 2006, when international climate commitments intensified. Scandinavian and German Law countries demonstrate stronger adoption of market-based instruments and achieve substantially lower emissions, while Common Law systems display weaker policy stringency and higher CO₂ levels. Differences in non-market regulations and international policy measures are statistically insignificant, indicating convergence driven by global governance frameworks. Overall, the results confirm that legal origin remains a meaningful determinant of environmental performance through its impact on institutional design and policy implementation mechanisms. However, in the case of Scandinavian legal origin, it is worth making an adjustment for the composition of the group of countries more than for the legal tradition. This study contributes to the debate on institutional persistence by linking legal heritage to the dynamics of climate governance and decarbonization pathways. Full article

Incivility and civility have been studied for more than a century across disciplines and in many areas ranging from workplaces to communication, the digital world, and everyday life. They are often used to the detriment of marginalized groups. Their negative use is seen to set the groundwork for other negative treatments, such as bullying and harassment, impacting the social climate in a negative way. Ostracism is seen to be linked to incivility. Disabled people disproportionally face negative treatments, such as bullying and harassment, and experience a negative social climate, as highlighted by the UN Convention on the Rights of People with Disabilities, suggesting that they also disproportionately experience incivility and ostracism. Climate surveys aim to expose toxic social climate in workplaces, schools, and communities caused by incivility, ostracism, bullying, and harassment. As such, how incivility, civility, ostracism, and the design of climate surveys are discussed in the literature is of importance to disabled people. We could find no review that analyzed the use of climate surveys beyond individual surveys and the concepts of incivility and ostracism in relation to disabled people. The objective of our study was to contribute to filling this gap by analyzing the academic literature present in SCOPUS, EBSCO HOST (70 databases), and Web of Science, performing keyword frequency and content analysis of abstracts and full texts. Our findings provide empirical evidence for a systemic neglect of disabled people in the topics covered: from 21,215 abstracts mentioning “civilit*” or “incivilit*”, only 14 were relevant, and of the 8358 abstracts mentioning ostracism, only 26 were relevant. Of the 3643 abstracts mentioning “climate surveys,” 12 sources covered disabled people by focusing on a given survey, but not one study performed an evaluation of the utility of climate surveys for disabled people in general. Racism is seen as a structural problem facilitating civility/incivility. Ableism, the negative judgments of a given set of abilities someone has, and disablism, the systemic discrimination based on such judgments, are structural problems experienced by disabled people, facilitating civility/incivility. However, ableism generated only 2 hits, and disablism/disableism had no hits. Most of our sources focused on workplace incivility, and authors were mostly from the USA. We found no linkage to social and policy discourses that aim to make the social environment better, such as equity, diversity, and inclusion, well-being, and science and technology governance. This is the first paper of its kind to look in depth at how the academic literature engages with the concepts of civility, incivility, and ostracism and with the instrument of social climate surveys in relation to disabled people. Our findings can be used by many different disciplines and fields to strengthen the theoretical and practical discussions on the topics in relation to disabled people and beyond. Full article

We survey recent advances in second-language (L2) Mandarin lexical tones research and show how an interpretable computational approach can deliver parameter-aligned feedback across perception–production (P ↔ P). We synthesize four strands: (A) conventional evaluations and tasks (identification, same–different, imitation/read-aloud) that reveal robust tone-pair asymmetries and early P ↔ P decoupling; (B) physiological and behavioral instrumentation (e.g., EEG, eye-tracking) that clarifies cue weighting and time course; (C) audio-only speech analysis, from classic F0 tracking and MFCC–prosody fusion to CNN/RNN/CTC and self-supervised pipelines; and (D) interpretable learning, including attention and relational models (e.g., graph neural networks, GNNs) opened with explainable AI (XAI). Across strands, evidence converges on tones as time-evolving F0 trajectories, so movement, turning-point timing, and local F0 range are more diagnostic than height alone, and the contrast between Tone 2 (rising) and Tone 3 (dipping/low) remains the persistent difficulty; learners with tonal vs. non-tonal language backgrounds weight these cues differently. Guided by this synthesis, we outline a tool-oriented framework that pairs perception and production on the same items, jointly predicts tone labels and parameter targets, and uses XAI to generate local attributions and counterfactual edits, making feedback classroom-ready. Full article

In the last half-century, capillary gel electrophoresis (CGE) became a versatile and high-performance analytical platform for the separation of complex biomolecular mixtures featuring rapid separations, high efficiency, and small sample consumption. Integrating a pore-size gradient mechanism in CGE makes it possible to achieve enhanced selectivity of polyionic macromolecules such as SDS-proteins and nucleic acids. This review provides a comprehensive overview of the theoretical foundations and operational principles of capillary pore-size gradient gel electrophoresis (CGGE), including the physicochemical basis of gradient formation, the influence of pore-size distributions on analyte mobility, and the challenges of generating stable, reproducible gradients in narrow-bore capillaries. Instrumental considerations such as capillary surface treatment, gradient filling and polymerization strategies, temperature and voltage control, detection modalities, and method-development frameworks are discussed in detail, emphasizing their critical impact on analytical performance and reproducibility. Key application areas in bioanalytical chemistry are highlighted, covering nucleic acid analysis and peptide/protein characterization. CGGE offers unique analytical advantages where fine molecular discrimination, tunable selectivity, and high resolution in a broad molecular weight range are required. Full article

Background/Objectives: Population aging in Europe presents significant healthcare, economic, and social challenges, particularly in the care of individuals with chronic diseases and frailty. Advance Care Planning (ACP) fosters patient autonomy and aligns end-of-life care with individual preferences. This study aimed to evaluate the acceptability and feasibility of an ACP model in nursing homes. Secondary objectives included exploring clinical characteristics of participants and assessing how frailty is associated with residents’ care goals and preferences. Methods: A prospective observational study was conducted among long-term residents of a Spanish nursing home in 2023. ACP was offered to all new permanent residents, with outcomes assessed through quarterly follow-ups. Acceptance rates, care preferences, and resident satisfaction were primary measures. Clinical data, frailty, functional status, cognitive assessments, and nutritional status were analyzed. The model of ACP is structured into three progressive levels: (1) identification of patients’ values, preferences, and global goals of care; (2) decision-making regarding specific clinical interventions in acute situations; and (3) end-of-life care preferences, including preferred place of death, desired companionship, and comfort-focused measures. Results: From 79 new residents admitted, 93.7% accepted ACP. The process required an average of 139 min to complete, distributed over 3–4 sessions. The main documented preferences included do-not-resuscitate orders (CPR) (79%), hospital transfer decisions (50%), and other individualized care choices. When stratified by frailty level, which was categorized as low, moderate, or high—we observed a clear gradient in care preferences. CPR preference increased from 59.3% (Low) to 87.5% (Moderate) and 95.2% (High). Preference to avoid hospital transfer rose from 22.2% to 50.0% and 85.7%, respectively. Avoidance of instrumentalization increased from 56.2% to 85.0% and 95.0%. Conclusions: ACP in nursing homes is highly acceptable and feasible, with benefits in aligning care with patient preferences and enhancing satisfaction. Full article

At a spallation neutron source, neutron pulses of varying energies are generated, and the detection of neutrons by instrument detectors is recorded as time-of-flight from the emission of the neutron pulse to its arrival at specific detector pixels with high time resolution. The flight path of neutrons from the moderator to the sample and then to the detector must be precisely calibrated at the detector-pixel level using standard powders, so the neutron events from all pixels can be time-focused to produce high-resolution diffraction patterns. Modern time-of-flight neutron diffractometers at spallation neutron sources are equipped with two-dimensional detectors with millimeter-scale pixelations. The number of pixels in a diffraction instrument can reach millions, which makes a single-pixel-level calibration process time-consuming or even impossible with conventional refinement or fitting approaches. Here we present a machine-learning-aided calibration process using a train-and-predict approach, in which machine learning models are trained on the relationship between an individual pixel time-of-flight diffraction pattern and its diffraction constant. These models use a portion of the available pixels for training, and a good model then predicts the diffraction constants precisely and rapidly for large sets of pixel diffraction patterns. Full article

Innovation drives China’s high-quality economic development, with corporate R&D investment being key to innovation. Using data from Chinese A-share non-financial listed firms (2010–2022), this study defines peer firms using a four-dimensional dynamic matching method of “year-industry-ownership nature-size quantile” and empirically explores peer effects on corporate R&D, combining dynamic panel analysis, instrumental variable regression, and robustness tests. The findings reveal a significant positive peer effect in the R&D investment of Chinese firms, meaning the R&D investment level of peer firms exerts a positive influence on the R&D decisions of focal firms. This conclusion is supported by Social Learning Theory, Knowledge Spillover Theory, and Institutional Theory: focal firms reduce decision-making uncertainty by observing and imitating peers, lower the marginal cost of R&D through knowledge spillovers from peers, and align their R&D behaviors with peers to gain legitimacy. This effect remains robust after addressing endogeneity. The study expands peer effect theory’s application in emerging markets and innovates peer identification, offering references for firms’ R&D strategies and governments’ innovation policies. Full article

Background: Patient-specific instrumentation (PSI) in total knee arthroplasty represents an increasingly relevant component of personalized surgical planning. As nearly half of orthopedic patients search online for medical information before or after clinical consultation, the quality, accuracy, and readability of publicly available digital resources directly influence patient expectations, shared decision-making, and rehabilitation engagement. This study assessed the content, quality, and readability of online information about PSI in TKA. Methods: Google searches using four predefined PSI-related terms were conducted on 6 March 2025. After applying exclusion criteria, 71 websites were included for evaluation. Websites were categorized as academic or non-academic and analyzed for authorship, reporting of advantages and disadvantages, inaccurate assertions, use of peer-reviewed references, multimedia content, and mention of specific PSI platforms. Website quality was assessed using validated quality evaluation tools (QUEST and JAMA criteria), and readability was evaluated using established readability indices (SMOG, FKGL, and FRE). Results: Academic websites demonstrated significantly higher quality than non-academic sources based on QUEST (25.4 vs. 9.8; p < 0.001) and JAMA criteria (3.7 vs. 1.7; p < 0.001). Disadvantages of PSI were reported in 69.1% of academic sites versus 12.5% of non-academic sites (p < 0.001). Inaccurate claims occurred in 31.3% of non-academic sites but were absent in academic sources (p < 0.001). Peer-reviewed references were present in 81.8% of academic websites and only 12.5% of non-academic sites (p < 0.001). Readability was uniformly poor across all websites, with no significant group differences (mean SMOG 13.5; mean FKGL 11.8; mean FRE 32.4). Conclusions: Online information about PSI in total knee arthroplasty varies widely in transparency and accuracy, with non-academic websites frequently omitting risks or presenting misleading claims. Given the role of individualized implant planning, accessible and evidence-based digital content is essential to support personalized patient education and shared decision-making. Because limited readability restricts patient comprehension and informed participation in personalized orthopedic care, improving the clarity and accessibility of digital patient resources is essential. Full article

Background: In recent years, interest has grown in the study of the role of the maximization trait in situations of high uncertainty and high stakes. However, although up to 13 different scales have been proposed for its measurement, none of them have been translated and validated in the Spanish language. This study addresses this gap by adapting and validating the Spanish version of the 7-item Maximization Tendency Scale, a concise instrument designed to assess the tendency to maximize, which may offer practical advantages in terms of brevity and ease of administration compared to longer scales. Objectives: We aimed to adapt and evaluate the psychometric properties of the Spanish version of the MTS-7, examining its internal consistency and factor structure when applied to a Spanish sample. Methods: A sample of 213 active nurses from the province of Cádiz (Spain) (83.5% female) completed the translated version of the MTS-7 and completed the retest two weeks later. Results: Both Exploratory and Confirmatory Factor Analyses confirmed the unidimensional nature of the scale. Cronbach’s alpha coefficient was 0.78; the 2-week test–retest reliability Pearson correlation coefficient was 0.89; ICC was 0.78. Conclusions: The Spanish version of the MTS-7 possesses satisfactory psychometric properties and proves to have adequate reliability and validity. This scale may serve as a useful tool for studying decision-making under uncertainty among Spanish-speaking nurses. Full article

This article outlines the development of an inter-scale analytical tool designed to evaluate urban, intermediate, and domestic spaces from a gender perspective. Framed within feminist urbanism and ecofeminist theory, the study addresses the need to foster inclusive and equitable environments by incorporating gender-sensitive criteria into spatial planning processes. The methodology employed consists of a six-stage process: (1) a review of the existing literature; (2) the definition of scales of approach; (3) the formulation of indicators; (4) the establishment of evaluation criteria; (5) the design of data collection instruments; and (6) the refinement of the tool through field testing. The tool uses both qualitative and quantitative indicators across three spatial scales—neighbourhood, inter-block, and housing—organised into dimensions such as safety, accessibility, diversity, vitality, and representativeness. The evaluation process employs direct observation, graphic analysis, interviews, and participatory focus groups to provide a nuanced and multidimensional understanding of the built environment. The results confirm that both urban and domestic spaces have historically been designed from an androcentric perspective. They also highlight the potential of using gender-based evaluations to identify spatial inequalities and guide transformative interventions. The tool is replicable, adaptable, and scalable, and can therefore offer a robust framework for future research and public policy-making aimed at fostering gender equity in urban contexts. Full article