Authentic livelihoods? Navigating authenticity and change in the Lake District cultural landscape

The Dutch government has expanded the status and scope of practice of bachelor's degree dental hygienists (DHs) compared to those with a diploma. The aim of this study is to investigate differences in the daily scope of practice of diploma and bachelor's degree DHs. A web-based survey was emailed to all 2972 members of the Dutch Association of Dental Hygienists and distributed via social media platforms. The survey had sections on participants' demographics, educational qualifications, work environment, and scope of practice. Absolute and relative frequencies for each question were reported and statistically compared between groups. In total, 473 DHs completed the survey, 288 in the 'Diploma' and 185 in the 'Bachelor' group. Altogether, Dutch DHs work on average 29 h per week; those with a bachelor's degree work significantly (p < 0.001) more hours. Bachelor DHs work significantly (p < 0.001) more often as paid employees in a general dental practice, a practice dedicated to periodontology, in the educational and research setting. Diploma DHs work significantly (p < 0.001) more often in their own private DH practice. Bachelor DHs are significantly more likely to perform the following activities: administer local anaesthesia, take intra-oral radiographs, and treat primary caries compared to Diploma DHs (p < 0.001). The overall majority in both groups does not treat caries (81.3%) but does administer local anaesthesia (85.1%). Bachelor DHs are more frequently engaged in three tasks in the extended scope of practice and are more likely to work in a team setting.

Distributed multi-compensation-based bumpless cooperative dynamic positioning for networked unmanned surface vessels subject to deception attacks.

Accurate and real-time leak detection in multiphase subsea pipelines remains a challenging problem due to highly nonlinear flow interactions, sparse sensor availability, and the limited generalization capability of traditional data-driven and CFD-based approaches. Existing intelligent leak detection methods often fail to incorporate the underlying physical laws, while current physics-informed models typically address only single-task predictions and lack uncertainty awareness, limiting their reliability in practical offshore environments. To address these gaps, this study proposes a Multi-Head Physics-Informed Neural Network (MPINN) that simultaneously estimates leak location, leak size, and pressure distribution while enforcing multiphase flow physics through embedded governing equations. The framework integrates a physics-consistent loss formulation, task-decoupled prediction heads, and Monte Carlo–based uncertainty quantification to enhance robustness under noisy and sparse real-world conditions. Experimental evaluation shows that MPINN achieves 100% leak classification accuracy, an R² of 95% for leak size prediction, and an R² of 96.25% for leak location estimation, significantly improving spatial characterization performance. The model also produces calibrated confidence intervals that effectively capture aleatoric and epistemic uncertainty, strengthening its reliability for risk-informed decision-making. Overall, this work introduces a unified, physics-aware, and uncertainty-informed framework that advances the state of the art in intelligent multiphase pipeline monitoring and provides a practical foundation for future industrial deployment.

Atmospheric microplastic deposition in 24 Chinese cities with different socio-economic development levels.

A Survey of On-Call Structure and Associated Compensation Mechanisms for Interventional Radiologists Practicing in the United States.

Research isn't a side initiative for nurse executives; it's a strategic lever that strengthens practice environments while delivering value in workforce development, innovation, outcomes, cost, and care quality. Nurses are ready to engage. Frontline engagement has emerged as a priority. When leaders provide protected time, funding, mentorship, clear governance, and the infrastructure to support research, participation, and impact will follow.

To evaluate veterinarians' intention to use metronidazole for treatment of canine acute diarrhea (CAD) and compare their knowledge, attitudes, and beliefs to evidence-based guidelines. To determine whether intentions of more recent DVM graduates and veterinarians in academic settings were more closely aligned with guidelines. Veterinarians were surveyed in January 2025 via an online platform to understand their knowledge and intention to use antibiotics for the treatment of CAD using the Theory of Planned Behavior model. Data were analyzed descriptively and inferentially to determine relationships between variables. Veterinarians (n = 1,626), who broadly endorse the principles of antimicrobial stewardship (AS), continue to prescribe metronidazole under conditions of clinical uncertainty. While a minority of veterinarians reported frequent use of metronidazole (18% [295/1,626]), nearly half believed that both clients (49% [796/1,626]) and their professional peers (44% [718/1,626]) often or always expected it. New graduates and veterinarians in academic settings demonstrated attitudes and intentions more aligned with current prescribing guidelines for CAD than their peers. Awareness of AS guidelines for CAD did not significantly correlate with a reported lower frequency of prescribing metronidazole. Veterinarians' intentions to prescribe metronidazole for CAD are shaped more profoundly by their attitudes toward clinical risk and their perceptions of social pressure than by their knowledge of clinical guidelines alone. Future AS efforts must explore the efficacy of educational campaigns to address the complex, human elements of clinical decision-making, fostering practice environments that make the right choice the easy choice.

For Chinese language acquisition, listening and speaking skills play a pivotal role, enabling learners to communicate proficiently and apply the language in practical contexts. However, due to the unique characteristics of the Chinese language and the lack of authentic practice environments, many learners face challenges in honing and improving their communication abilities. Consequently, the application of Artificial Intelligence (AI) in Chinese language teaching has become an inevitable trend, contributing to the innovation of teaching methodologies and the enhancement of learning outcomes. Nevertheless, alongside its promising potential, the integration of AI into the teaching of Chinese listening and speaking skills also presents significant challenges, particularly regarding the accuracy of speech recognition technology and its adaptability to diverse dialects. Grounded in this context, this study identifies the difficulties encountered by learners of Chinese listening and speaking, as well as the AI tools currently applied in teaching these skills. It further evaluates the effectiveness of traditional teaching methods versus those integrated with AI technologies in supporting learners. In addition, the research analyzes the current limitations in the application of AI in modern Chinese language instruction, thereby offering a more comprehensive perspective on the issue

Purpose This study investigates the determinants of firm competitiveness and financial performance in the Asian manufacturing sector by integrating environmental, social and governance (ESG) practices and artificial intelligence (AI) adoption into behavioral competition models. Design/methodology/approach Drawing on panel data from 4,028 manufacturing firms across Asia between 2014 and 2024, we apply both the Boone indicator and return on equity (ROE) as core measures. Methodologically, we employ static multi-way fixed effects panel with Driscoll–Kraay standard errors (MWFE-DR) and dynamic two-step system GMM estimators to ensure robust results. Findings The findings reveal that liquidity, efficiency, firm size, AI-related imports and environmentally related tax revenues significantly enhance competitiveness and performance, while ESG variables strengthen explanatory power and improve model robustness. Originality/value Theoretically, the study develops and empirically validates a digital sustainability competitiveness framework (DSCF), extending the New Empirical Industrial Organization (NEIO) and resource-based view (RBV) traditions by demonstrating that digitalization and sustainability are central behavioral drivers of competition. Practically, the results provide actionable insights for policymakers, investors and industry leaders seeking to foster sustainable competitiveness and long-term financial resilience in emerging economies.

ABSTRACT The quick growth of the Internet of Vehicles (IoV) needs secure, low‐latency, and trusted communication frameworks. Existing Intrusion Detection Systems (IDS) are struggling to provide effective threat detection in changing vehicular networks. This creates a critical need for adaptive detection mechanisms that can perform efficiently at the network edge. According to this background, we propose a Zero‐Tuned Peripheral Stacked Ensemble (ZTPSE) for efficient attack detection and mitigation in practical VANET environments. In this framework, lightweight base learners run on edge nodes to detect attacks locally. A central meta‐learner then combines these local outputs using stacking without manual tuning. This design allows fast and efficient detection under different traffic densities and attack scenarios. By combining distributed detection with ensemble learning, ZTPSE detects multiple attack types and allows the system to take a rapid response action. Simulation results indicate that the proposed ZTPSE framework achieves high detection accuracy of 95.70% in varying traffic densities and maintains a low false‐positive rate (FPR) of 0.05%.

Background and aims: Arthroscopic surgery is a technically demanding modality with outcomes closely linked to surgeon experience. Learning curves vary across joints due to differences in anatomy, access, and procedural complexity. Understanding these learning trajectories is essential to optimize training, patient safety, and early independent practice. The purpose of the study is to systematically map existing evidence on learning curves in knee, shoulder, and hip arthroscopy, with emphasis on operative efficiency, clinical outcomes, complication rates, and the influence of surgeon experience and practice environment. Materials and Methods: This study was conducted as a scoping review in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guidelines. PubMed/MEDLINE and Embase were searched for peer-reviewed clinical studies published over the past 25 years evaluating learning curve metrics. Surgeons were categorized as novice (&lt;30 cases) or experienced (≥30 cases). Results: Knee arthroscopy demonstrated a relatively short learning curve, with early gains in technical efficiency. Shoulder arthroscopy showed progressive reductions in operative time and retear rates, with meaningful improvements observed beyond 50–100 cases. Hip arthroscopy exhibited the steepest learning curve, with significant reductions in operative/traction times and complication rates occurring after approximately 70–110 cases. Practice in tertiary care settings was consistently associated with improved efficiency and safety profiles. Conclusion: Learning curves in arthroscopy are joint-specific and most pronounced in hip and complex shoulder procedures. Structured training, mentorship, and early practice within high-volume tertiary care centers play a critical role in flattening the learning curve.

Supramolecular organic frameworks (SOFs) with intrinsic porosity and appealing optoelectronic properties hold promise for the integrated capture and photocatalytic conversion of CO2 from the air. Unfortunately, SOFs that can efficiently reduce CO2 have never been reported so far. In this work, we demonstrate the construction of a porous SOF through host-guest binding between cucurbit[8]uril (CB[8]) and a tetraphenylethylene-based derivative for highly selective CO2 reduction in the atmosphere of water vapor and air under solar light. The abundant cationic nitrogen sites within the framework endow the SOF with a CO2 uptake capacity of 14.41 cm3 g-1 at 298 K and 1 bar. Initial slope selectivity calculations demonstrated that SOF possessed high separation capability of CO2 over N2 with selectivity up to 57 at 273 K. In addition, the SOF showed efficient light harvesting in the visible region with an optical gap of 2.19 eV. Benefitting from these unique features, the SOF catalyzed the reduction of CO2 with a stable CO production rate of 69.78 μmol h-1 g-1. This research paves the way to design porous SOF-based photocatalysts for biomimetic reduction of CO2 in a practical environment.

This review article critically examines the adoption of Environmental, Social, and Governance (ESG) practices in small and medium-sized enterprises (SMEs) by synthesizing the major theoretical perspectives, global barriers, and enabling strategies discussed in the literature. The study is grounded in stakeholder theory, the resource-based view, and institutional theory to explain how external pressures, internal capabilities, and regulatory environments shape ESG adoption in SMEs. The review finds that although ESG has become increasingly important for enhancing transparency, competitiveness, and long-term sustainability, SMEs continue to face significant obstacles in implementation. Key barriers include limited financial resources, lack of technical expertise, insufficient ESG knowledge, regulatory complexity, weak technological preparedness, short-term managerial orientation, and supply chain pressures. At the same time, the study highlights several enabling strategies that can facilitate ESG integration in SMEs, including access to green finance, sustainability-linked investments, capacity-building programs, peer learning, simplified ESG reporting frameworks, ethical leadership, digital transformation, and collaborative supply chain partnerships. The review further emphasizes that ESG adoption in SMEs is not shaped by a single factor but by the interaction of organizational, institutional, financial, and technological conditions. By bringing together fragmented insights from prior studies, this article offers a comprehensive understanding of how SMEs can overcome ESG adoption challenges and improve sustainability performance. The study contributes to the literature by providing an integrated conceptual perspective and practical insights for researchers, policymakers, and SME managers seeking to promote responsible and competitive business practices in a changing global environment

Stone heritage deteriorates through physical, chemical, and biological processes driven by water, climate, and microbial colonization. Multifunctional polymeric coatings combining hydrophobic and antimicrobial moieties have emerged as a promising conservation strategy, yet a substantial gap remains between laboratory innovation and real-world performance. This review critically examines advances from 2021 to 2026, covering wetting theory, antimicrobial mechanisms, and material architectures, including molecularly integrated systems, Sol–Gel hybrids, nanocomposites, and layered systems. Long-term studies on the Aurelian Walls in Rome and stone in Reims show that biocidal efficacy typically declines within one to two years despite the chemical persistence of the coatings. In parallel, hydrophobic performance often deteriorates over time due to UV exposure, particulate deposition, and surface chemical changes, leading to increased wettability and reduced protective efficiency. Substrate porosity governs durability and visual compatibility (ΔE* &lt; 5 threshold), while treatments can reshape microbial communities, favoring stress-tolerant meristematic fungi. Regulatory pressure on fluorinated compounds drives the development of more sustainable alternatives. Emerging directions include stimuli-responsive systems, self-healing materials, slippery interfaces, and precision polymer architectures. However, future progress will depend on tailoring formulations to major lithotypes, improving compatibility with porous substrates, and validating performance through standardized accelerated aging and multi-year field trials. Bridging laboratory design with environmental exposure data and conservation practice will be essential for achieving durable and culturally acceptable protection strategies.

Through the lasting impacts of colonization, the food-sovereignty framework promoting food justice, has been severely threatened. While Bolivia has taken unique steps to address this concern, globalization has been a tricky system to work with. However, diverse ecological zones present region-specific challenges and opportunities to implement food sovereignty amidst the neoliberal strategies of globalization. This thesis explores the globalization impacts of food sovereignty in the altiplano and lowlands through a comparative case study approach. Each region has cultural and historical similarities, however their ecological regions make their agricultural production and strategies distinct. For this reason, globalization manifests itself differently in each region, and thus, the study highlights the need for region-specific strategies to advance food sovereignty. I argue that each zone’s unique environmental conditions, cultural practices, and historical contexts highlight a need for local context-based approaches to food sovereignty in both the altiplano and the lowlands of Bolivia.

Abstract Despite their potential significance, bio-ecological determinants of ethical and sustainable business behavior have been largely unexplored in business ethics research. This study examines the impact of pathogen stress—a bio-ecological factor that has been shown to be critical for human attitudes, intentions, and behaviors—on firms’ environmental sustainability practices. Pathogen stress refers to the prevalence of a broad spectrum of infectious agents, including viruses, bacteria, protozoa, and helminths, that threaten human health and survival. We theorize that higher levels of pathogen stress negatively affect firms’ adoption of environmental sustainability practices. Analyzing data from nearly 20,000 firms across 37 countries using the World Bank Enterprise Surveys and a country-level pathogen stress index, we observe that firms in contexts with higher pathogen prevalence are less likely to adopt environmental sustainability practices. To elucidate the underlying causality, we employ an experimental vignette design that identifies two mediating psychological mechanisms: a temporal mechanism (heightened short-term orientation) and a relational mechanism (increased ingroup trust bias). We discuss the implications of the results for business ethics research and suggest several future research avenues to improve the understanding of bio-ecological factors for ethical and sustainable firm decision-making, strategies, and behaviors.

Abstract This study examines how climate change education (CCE) initiatives in Philippine basic education shape learners’ climate-related knowledge, awareness, behaviours, and perceptions of environmental well-being through the interconnected influences of families, schools, and communities. While many CCE initiatives focus on school-based knowledge and awareness, less attention has been given to how environmental practices are sustained across everyday socioecological contexts. Guided by action competence, intergenerational learning, and socioecological perspectives, the study integrates a systematic review of 109 Department of Education (DepEd) and government issuances with key informant interviews involving teachers and school-level programme implementers. Findings show that DepEd initiatives – such as YES-O, WASH programmes, and school-based greening activities – serve as critical entry points for environmental engagement but do not consistently lead to sustained behavioural change. The continuity of environmental practices depends on the degree of alignment across school, home, and community systems. Inconsistent family routines, limited local government unit (LGU) support, infrastructural constraints, and programme discontinuities weaken learners’ capacity to internalise environmental practices. Conversely, experiential learning, family modelling, lived experiences of climate risks, and active community participation strengthen children’s action competence and resilience. The study advances a socioecological alignment framework that conceptualises CCE as a relational and multi-level process shaped by structural, cultural, and institutional conditions. It argues that strengthening intergenerational learning, community engagement, and governance continuity is essential for cultivating sustained climate action. These insights offer implications for rethinking climate education in the Philippines and other climate-vulnerable and resource-constrained contexts.

ABSTRACT This study examines the evolution and determinants of corporate environmental disclosure practices through a systematic review of 75 peer‐reviewed articles published from 2017 to 2025 in the Scopus database. Using the PRISMA framework, a bibliometric analysis was conducted with R software, complemented by the Theory–Context–Characteristics–Method (TCCM) approach to map the intellectual structure, thematic development, and research gaps. The findings indicate significant growth in environmental disclosure research following ESG integration and Net‐Zero commitments, with China and emerging Asian economies leading due to regulatory pressures and governance reforms. Legitimacy and stakeholder theories dominate, while governance mechanisms, institutional enforcement, and managerial orientation drive disclosure practices. Thematic analysis identifies environmental reporting as a core theme, whereas disclosure quality, green innovation, and performance alignment remain underexplored. Future research should prioritize disclosure credibility, sector‐specific analysis, and innovation‐driven sustainability outcomes.

Oncology teams operate in highly demanding clinical environments marked by recurrent acute and chronic stressors that can impair optimal quality of care. Although the practice environment is known to influence team processes, the specific contribution of team resilience at work to team effectiveness remains insufficiently delineated in oncology. This cross-sectional study investigated whether team resilience at work mediates the associations between the teamwork practice environment and two core indicators of team effectiveness: team functioning and team cohesion. A total of 189 oncology team members in Québec (Canada) completed an e-questionnaire between February 2022 and June 2023. Structural equation modeling was conducted to assess an evidence-informed mediation model. The tested model revealed acceptable fit. Findings showed significant indirect effects consistent with a mediating role of team resilience at work in the relationships between the teamwork practice environment and team functioning and team cohesion. Some dimensions-resourcefulness, alignment, efforts to understand problems, wellness awareness and being proud to work in the team-loaded strongly on the resilience concept. These results highlight the relevance of reinforcing team resilience capacities to sustain high-quality care in oncology settings. Interventions aiming to enhance team effectiveness may benefit from explicitly integrating strategies designed to strengthen resilience-related dimensions within oncology teams.