High Uncertainty Research Articles

Methodological Challenges in Aligning EPDs with Whole Life Carbon Limits for Buildings: A B2B Approach

Abstract The environmental performance from the materials used in buildings is pivotal in reducing greenhouse gas (GHG) emissions from the building sector; buildings are in the top three of the world’s most significant contributors of GHG emissions and are responsible for one-fifth of the overall resource consumption. Alongside multiple countries enforcing legal GHG limits and requiring Life Cycle Assessment (LCA) for new buildings, the availability of product-level environmental data, known as Type III Environmental Product Declarations (EPDs) has increased exponentially. EPDs were originally used for Business-to-Business purposes but are now the main data source for building-level LCAs. However, this often comes with a large set of uncertainties, as EPDs are still evolving as a documentation approach, and not always readily applicable in the whole life cycle approach. There are a multitude of complex areas to engage into, this study focuses on how use-stage modules are documented in EPDs, and how varied approaches create further complexity and perils in relation to their use in LCA and regulations, in the sense of, potential leading to high uncertainties and wrongful interpretations. The study aims to address the methodological gaps associated with the use of EPDs as data inputs in legally binding LCA requirements particularly concerning modules B1-5, which constitute the embodied part of the use-stage. The findings reveal a significant margin of error if EPDs are not correctly implemented, underscoring the importance of the Business-to-Business documentation approach.

Modeling human activity comprehension at human scale: prediction, segmentation, and categorization.

Humans form sequences of event models-representations of the current situation-to predict how activity will unfold. Multiple mechanisms have been proposed for how the cognitive system determines when to segment the stream of behavior and switch from one active event model to another. Here, we constructed a computational model that learns knowledge about event classes (event schemas), by combining recurrent neural networks for short-term dynamics with Bayesian inference over event classes for event-to-event transitions. This architecture represents event schemas and uses them to construct a series of event models. This architecture was trained on one pass through 18 h of naturalistic human activities. Another 3.5 h of activities were used to test each variant for agreement with human segmentation and categorization. The architecture was able to learn to predict human activity, and it developed segmentation and categorization approaching human-like performance. We then compared two variants of this architecture designed to better emulate human event segmentation: one transitioned when the active event model produced high uncertainty in its prediction and the other transitioned when the active event model produced a large prediction error. The two variants learned to segment and categorize events, and the prediction uncertainty variant provided a somewhat closer match to human segmentation and categorization-despite being given no feedback about segmentation or categorization. These results suggest that event model transitioning based on prediction uncertainty or prediction error can reproduce two important features of human event comprehension.

Assessing the Influence of Zero‐Flow Threshold Choice for Characterising Intermittent Stream Hydrology

ABSTRACTZero‐flow recordings in gauged streamflow data are critically important for intermittent stream research. Acknowledging the high uncertainty in zero‐flow recordings, many studies pick a small number as zero‐flow threshold, below which the flow is considered to be zero. The choice of zero‐flow threshold is often arbitrary or unjustified, which leads us to wonder: would selecting a slightly different threshold change analysis result significantly? Here, we used a simple sensitivity analysis to assess how the choice of zero‐flow threshold impacts the calculated values of relevant metrics to intermittent stream research. Results show that these metrics tended to be more sensitive to lower zero‐flow thresholds, suggesting that even choosing a slightly different threshold could lead to meaningfully different results from the management perspective. This study highlights the need for reasonable justification of the choice of zero‐flow threshold and concludes with potential ways to reduce uncertainty in zero‐flow measurement.

Novel age constraints on offshore islets around Taiwan with implications for the Northern Taiwan Volcanic Zone

Determining the exact age of volcanic activity in the Northern Taiwan Volcanic Zone (NTVZ) is essential for comprehending Taiwan's tectonic evolution. The timing and duration of the volcanic processes that formed the NTVZ remain uncertain despite the availability of geochronological, geochemical, and geophysical data. While extensive efforts have been directed towards investigating the age of the Tatun Volcanic Group, the primary feature of the NTVZ, many other aspects require further examination. This study concentrates on two offshore islets in the northern region of the NTVZ. We present new 40Ar/39Ar ages of 0.252 ± 0.018 Ma for a lava flow, representing an early stage of volcanic activity, and 0.118 ± 0.012 Ma for a dike, representing the latest stage of volcanic activity around Pengjia Islet. A sample collected from Mianhua Islet did not yield a reasonable age due to high uncertainty, likely attributable to young and low radiogenic argon. Field observations support the interpretation that volcanic activity on both islets is considerably younger than previously estimated. This study corroborates the hypothesis from geophysical studies that submarine NTVZ features to record a potentially active magmatic reservoir offshore of northern Taiwan. By refining our understanding of spatio-temporal patterns in volcanic activity, this study contributes to volcanic hazard assessment in Taiwan and surrounding areas.

Fuel-Efficient and Fault-Tolerant CubeSat Orbit Correction via Machine Learning-Based Adaptive Control

The increasing deployment of CubeSats in space missions necessitates the development of efficient and reliable orbital maneuvering techniques, particularly given the constraints on fuel capacity and computational resources. This paper presents a novel two-level control architecture designed to enhance the accuracy and robustness of CubeSat orbital maneuvers. The proposed method integrates a J2-optimized sequence at the high level to leverage natural perturbative effects for fuel-efficient orbit corrections, with a gated recurrent unit (GRU)-based low-level controller that dynamically adjusts the maneuver sequence in real-time to account for unmodeled dynamics and external disturbances. A Kalman filter is employed to estimate the pointing accuracy, which represents the uncertainties in the thrust direction, enabling the GRU to compensate for these uncertainties and ensure precise maneuver execution. This integrated approach significantly enhances both the positional accuracy and fuel efficiency of CubeSat maneuvers. Unlike traditional methods, which either rely on extensive pre-mission planning or computationally expensive control algorithms, our architecture efficiently balances fuel consumption with real-time adaptability, making it well-suited for the resource constraints of CubeSat platforms. The effectiveness of the proposed approach is evaluated through a series of simulations, including an orbit correction scenario and a Monte Carlo analysis. The results demonstrate that the integrated J2-GRU system significantly improves positional accuracy and reduces fuel consumption compared to traditional methods. Even under conditions of high uncertainty, the GRU-based control layer effectively compensates for errors in thrust direction, maintaining a low miss distance throughout the maneuvering period. Additionally, the GRU’s simpler architecture provides computational advantages over more complex models such as long short-term memory (LSTM) networks, making it more suitable for onboard CubeSat implementations.

The relationship between corporate culture of SMEs and crisis response ability under the cross-cultural background

This research explores the critical influence of corporate culture on small and medium-sized enterprises’ (SMEs) crisis response abilities under varied cross-cultural environments. Amid the disruptive backdrop of the COVID-19 pandemic, SMEs globally have faced unprecedented challenges. This study addresses a gap in the existing literature by conducting a cross-cultural analysis of SMEs in China, Thailand, and Germany to understand how corporate culture affects crisis management. Utilizing a competitive cultural value model, the research categorizes corporate culture into four dimensions: group culture, development culture, hierarchy culture, and rational culture. These cultural dimensions are investigated in relation to their impact on crisis response abilities. Additionally, national cultural dimensions such as individualism and uncertainty avoidance are examined as moderating variables. The findings reveal that group and development cultures positively influence crisis response abilities, enhancing organizational resilience and adaptability. Conversely, hierarchy culture negatively affects crisis management, hindering flexible response strategies. Rational culture supports structured crisis response through goal-oriented practices. National culture significantly moderates these relationships, with individualism and high uncertainty avoidance impacting the effectiveness of organizational cultural dimensions in crisis scenarios. This study offers theoretical advancements by integrating cultural dimensions with crisis response strategies and provides practical implications for SMEs striving to enhance their resilience and adaptability in a globalized business environment.

Quantile connectedness between social network sentiment and sustainability index volatility: Evidence from the Moroccan financial market

The goal of this paper is to investigate the connectedness between investor sentiment and volatility on the environmental, social, and governance index (ESG) in Morocco. Therefore, on the basis of an investor sentiment index constructed from the X platform, and using quantile and frequency connectedness approaches, the findings reveal a significant connectedness between sentiment and ESG volatility, particularly during turbulent events. Although sentiment acts most of the time as a net receiver of shocks, notably during the COVID-19 pandemic and geopolitical crises, it sometimes becomes a net sender of shocks. Furthermore, the spillovers between sentiment and ESG volatility are determined mainly by the long-term component, especially during extreme events, implying the persistence of shock transmission due to high uncertainty. The results also illustrate the impact of market conditions on the spillovers between sentiment and ESG volatility. The conclusions of this study provide useful guidance for pro-ESG investors, policymakers, and companies.

Innovative Approaches to Assessing the Competitiveness of Business Structures Using the Method of Analysis of Hierarchies in Multi-Criteria Ranking

The primary objective of this paper is the practical testing of a multi-criteria rating methodology for assessing the competitiveness of business structures. This aims to evaluate critical functional areas of their operations and justify specific managerial decisions to ensure sustainable competitiveness. Maintaining the competitiveness of business structures becomes a primary task in the context of high uncertainty and competition, as well as the presence of crises and politico-economic problems. To achieve the set objective, the Analytic Hierarchy Process (AHP), developed by T. Saaty, was utilized. This practical method allows for multi-criteria comparisons using expert evaluations and calculations of eigenvectors and values, providing systematization and quantitative assessment of criteria and alternatives' priorities. AHP includes procedures for synthesizing multiple judgments and obtaining priorities, allowing for consideration of the 'human factor' in decision-making preparation. The study results demonstrate that the multi-criteria approach to rating the competitiveness of business structures effectively accounts for all areas of their activities and forms an adequate comprehensive measure of competitiveness. Within the study's framework, three business structures with different performance trends were analyzed. The comparative importance of criteria and sub-criteria for competitiveness assessment was determined using the Analytic Hierarchy Process, considering the specifics of the business structures and their business activities. The proposed methodology for multi-criteria rating of business structures' competitiveness allows for a comprehensive assessment of their activities and justification of specific managerial decisions to ensure sustainable competitiveness. The use of the Analytic Hierarchy Process helps to consider the influence of various factors and conditions, contributing to a more objective assessment and strategic decision-making. The application of the proposed methodology is universal and can be effectively used in various sectors of business structures' activities, showcasing its adaptability.

Characterizing chemical abundance ratios in extremely metal-poor star-forming galaxies in DESI EDR

We present a search for galaxies in the local Universe with extremely low oxygen abundance, that is, more than 25 times lower than solar, which corresponds to 12 + log(O/H) < 7.3. To determine the oxygen abundance, we apply the direct Te method for objects where the [O III]λ4363 line is detected. We identified 21 extremely metal-poor galaxies in the early data release of the Dark Energy Spectroscopic Instrument (DESI EDR), for some of which we also derived N/O, Ne/O, Ar/O, and S/O ratios. We find that many DESI galaxies with extremely low oxygen abundance exhibit a higher N/O ratio in comparison to the reference low-metallicity sample collected from the literature. We suggest that the elevation in N/O ratio may be explained by a contamination with metal-rich gas caused by gas inflow or a merger event. Moreover, contrary to some recent studies, we find that Ar/O and S/O ratios are enhanced as well, while the Ne/O ratio does not show such elevation. One of the galaxies, J0713+5608, has a remarkably low oxygen abundance of 6.978 ± 0.095 dex. This measurement aligns with the lowest known oxygen abundances in galaxies to date. Given the relatively high uncertainty, this galaxy may have the lowest oxygen abundance ever found. Additionally, J0713+5608 exhibited an enhanced N/O ratio compared to the typical N/O ratio observed in metal-poor galaxies within the local Universe.

Current status and influencing factors of fear disease progression in Chinese primary brain tumor patients: A mixed methods study

ObjectiveIn this study, we investigated the fear of disease progression in Chinese PBT patients and examined the correlation between sociodemographic, clinical, and psychological variables of patients with the fear of progression (FoP). Additionally, the study also evaluated the subjective experience of FoP in patients with primary brain tumors (PBT). MethodsA mixed-methods study was conducted between March 2022 and December 2023, consisting of two phases: a quantitative approach in phase I, and a qualitative approach in phase II. In phase I, 305 patients with PBT filled in several questionnaires. An analysis was performed to identify potential predictors associated with FoP. In phase II, semi-structured interviews were conducted with 16 participants whose FoP scores were ≥ 34 in phase I to obtain information on their personal experiences with FoP. ResultsThe results of the quantitative study showed that 192 (63 %) patients experienced high levels of FoP. The mean score of fear of progression was (34.02±6.78). Young age, high disease uncertainty, low social support, high negative coping and low positive coping are important factors affecting FoP in PBT patients. Qualitative research focused on three themes: triggers, coping styles, and the help needed. ConclusionEnhanced screening and assessment of FoP is essential to identify dysfunctionin PBT. Meanwhile, the implications of these predictors for enhanced healthcare professional education and patient self-management may help healthcare providers implement relevant interventions promptly and help patients reduce their FoP. However, due to limitations such as sample, reporting bias, and specific mechanisms between predictors and FOPs that have not yet been explored in depth, further exploration is needed in the future.

Is human capital risk lower in state-owned enterprises? — A textual analysis based on China's listed company annual reports

Based on the annual reports of China's A-share listed companies from 2007 to 2020, this paper constructs a human capital risk index of China's listed companies through the methods of machine learning and explores the impact of state ownership on corporate human capital risk. The results show that compared with non-state-owned enterprises (non-SOEs), state-owned enterprises (SOEs) have lower human capital risk in China. Mechanism tests suggest that SOEs can offer higher compensation and benefits and maintain more stable employment relationships, which reduce human capital risk significantly. Additionally, this effect is more pronounced during periods of high economic policy uncertainty, in regions with weaker talent policies, and in areas with a lower proportion of aging labor force. The study also reveals that SOEs have lower human capital attraction and human capital retention risk than non-SOEs. Furthermore, SOEs have more educated and skilled employees, which contributes to higher human capital. Last, this study finds state ownership enhances innovation output, total factor productivity, and economic value added by mitigating human capital risk.

Climate policy uncertainty and environmental degradation: Does democracy moderate this relationship?

This study investigates the impact of climate policy uncertainty on environmental degradation and examines the moderating role of democracy in this relationship. Utilizing annual data from 126 economies spanning the years 1996–2021, and employing dynamic least squares and fully modified ordinary least squares models, the analysis reveals a significant negative relationship between climate policy uncertainty and environmental degradation. The findings indicate that higher uncertainty in climate policies is associated with reduced environmental degradation, suggesting that uncertainty in climate policies can drive cautious and ecologically conscious behaviors. Additionally, the study finds that democracy amplifies this negative relationship, implying that democratic environments enhance the effectiveness of climate policies in reducing environmental degradation which is attributed to greater transparency, accountability, public participation, and policy stability inherent in democratic systems. The study offers valuable practical implications for policymakers by highlighting how political and economic systems can influence environmental outcomes amid climate change.

Альтернативные формы инвестирования на современном этапе

e article is devoted to the marginal use of alternative investment forms: gold, precious metals, coins and diamonds at the current stage, as well as their detailed characteristics in conditions of high volatility and uncertainty of financial markets. The study reveals the dynamics, main advantages, disadvantages and extrapolar trends of the above-listed forms of investment. The article focuses on the profitability of the main financial instruments with significant risks and economic unpredictability for private investors, and its correlation with official inflation is presented. In order to hedge and diversify risks, a comparative analysis of the main financial indicators of the market and an algorithm for the profitability of a conditional balanced portfolio of a private investor are presented. The final results of the study provide a description of the fundamental factors of the growth in demand for diamonds in the long term and prove the effectiveness and convenience of this instrument.

Top management team gender diversity and power dynamics in times of change

Abstract Extant research examining the effects of top management team (TMT) gender diversity on firm performance report equivocal findings. We seek to enhance understanding of this critical relationship in the context of an acquisition, which necessitates changes in one or both firms during a process characterized by non-routine decisions, time pressures, high uncertainty, and frequent debates among strategic leaders. Specifically, we examine the effects of gender diversity of top management and female executives’ formal and informal power on post-deal performance. Our results indicate gender diversity has negative effects on post-deal performance. Further, in a subsample of acquirers with gender diverse teams, our results reveal that female executives’ structural power and ownership power have negative performance effects, while power conferred through an elite education has positive performance effects. Our findings highlight the need to expand gender diversity research to consider the strategic context facing diverse TMTs and power dynamics among them.

High–precision determination of carbon stable isotope in silicate glasses by secondary ion mass spectrometry: Evaluation of international reference materials

Secondary ion mass spectrometry (SIMS) has been used for isotope analysis of volatile components dissolved in silicate melts for decades. However, carbon in situ stable isotope analysis in natural silicate glasses has remained particularly challenging, with the few published attempts yielding high uncertainties. In this context, we characterized 31 reference silicate glasses of basaltic and basanitic compositions, which we then used as reference materials to calibrate δ13C − value analyses in silicate glasses by SIMS. This set of reference materials covers a wide range of CO2 concentrations (380 ppm – 12,000 ppm) and δ13C values (−28.1 ± 0.2 to −1.1 ± 0.2 ‰, ±1σ). The sets of reference materials were analyzed using large−geometry SIMS at two ion microprobe facilities to test reproducibility across different instrumental setups. The instrumental mass fractionation (IMF) varied widely with two different large−geometry SIMS instruments as well as with different analytical parameters such as field aperture size and primary beam intensity. We found that a precision better than ±1.1 ‰ (both average internal and external precision, ±1σ) for CO2 content higher than 1800 ppm could be achieved using a primary beam intensity of less than 5 nA, resulting in a final spot size of 10–20 μm, allowing precise analysis of δ13C in mineral−hosted melt inclusions. This level of precision was achieved at CO2 concentrations as low as 1800 ppm. This advance opens a wide range of new possibilities for the study of δ13C − value in mafic melts and their mantle sources. The reference materials are now available at the CNRS–CRPG ion microprobe facility in Nancy, France and will be deposited at the Smithsonian National Museum of Natural History, Washington, USA where they will be freely available on loan to any researcher.

Mapping the techno-economic potential of next-generation CSP plants running on transcritical CO[formula omitted]-based power cycles

Although the thermodynamic potential of transcritical/supercritical power cycles running on CO2 mixtures for next generation Concentrated Solar Power plants has been already confirmed in literature, further investigation to assess the actual feasibility of this technology from a techno-economic standpoint is needed. In fact, large uncertainty is found when it comes to the estimation of the CapEx of the power block, and the same can be said for the solar subsystem when higher-than-SoA operating temperature are considered. In this paper, two CSP schemes, with different maximum operating temperatures, are studied: one employing molten salts and another based on solid particles.To overcome the high uncertainty in terms of cost estimation, a two-step analysis is developed: firstly, the CapEx of the entire plant, except for the power block, is calculated assuming correlations from literature. As a result, the minimum power block cost allowing an LCoE lower than a certain target is identified. Secondly, an inverse methodology is applied, setting the power block cost and assessing the minimum CapEx of the solar subsystem. As a result, a map is obtained showing the target CapEx to be accomplished by sCO2+CSP if a clear reduction of the LCoE of this technology is to be achieved.

Trouble on the horizon: anticipating biological invasions through futures thinking

ABSTRACTAnticipating future biosecurity threats to prevent their occurrence is the most cost‐effective strategy to manage invasive alien species. Yet, biological invasions are complex, highly uncertain processes. High uncertainty drives decision‐making away from strategic preventative measures and towards operational outcomes aimed at post‐invasion management. The limited success of preventative measures in curbing biological invasions reflects this short‐term mindset and decision‐makers should instead apply strategic foresight to imagine futures where biosecurity threats are minimised. Here, four major futures thinking tools (environmental scanning, driver‐mapping, horizon scanning, and scenario planning) that describe probable, possible, plausible and preferable futures are assessed in terms of their potential to support both research and policy addressing biological invasions. Environmental scanning involves surveying existing data sources to detect signals of emerging alien species through knowledge of changes in either the likelihood or consequences of biological invasions. Several approaches are widely used for biosecurity including automated scans of digital media, consensus‐based expert scoring, and prediction markets. Automated systems can be poor at detecting weak signals because of the large volume of ‘noise’ they generate while expert scoring relies on prior knowledge and so fails to identify unknown unknowns which is also true of prediction markets that work well for quite specific known risks. Driver‐mapping uses expert consensus to identify the political, economic, societal, technological, legislative, and environmental forces shaping the future and is a critical component of strategic foresight that has rarely been applied to biological invasions. Considerable potential exists to extend this approach to develop system maps to identify where biosecurity interventions may be most effective and to explore driver complexes to determine megatrends shaping the future of biological invasions. Horizon scanning is a systematic outlook of potential threats and future developments to detect weak signals of emerging issues that exist at the margins of current thinking. Applications have been strongly focused on emerging issues related to research and technological challenges relevant to biosecurity and invasion science. However, most of these emerging issues are already well known in current‐day research. Because horizon scanning is based on expert consensus, it needs to embrace a diversity of cultural, gender, and disciplinary diversity more adequately to ensure participants think intuitively and outside of their own subject boundaries. Scenario planning constructs storylines that describe alternative ways the political, economic, social, technological, legislative, and environmental situation might develop in the future. Biological invasion scenario planning has favoured structured approaches such as standardised archetypes and uncertainty matrices, but scope exists to apply more intuitive thinking by using incasting, backcasting, or causal layered analysis. Futures thinking in biological invasions has not engaged with decision‐makers or other stakeholders adequately and thus outcomes have been light on policy and management priorities. To date, strategic foresight addressing biological invasions has applied each approach in isolation. Yet, an integrated approach to futures thinking that involves a diverse set of stakeholders in exploring the probable, possible, plausible, and preferable futures relating to biological invasions is crucial to the delivery of strategic biosecurity foresight at both national and global scales.

Future workplace reimagination: A multiscenario analysis on entrepreneurial small and medium internationalisers

AbstractThis paper aims to encounter the scholarly demand for comprehensive identification and investigation of the factors that highlight the sense of the “workplace of the future.” Besides, this study sheds in‐depth qualitative and quantitative insights into analysing such drivers in international entrepreneurial small and medium enterprises of emerging economies like Iran. A mixed method of systematic literature review and hesitant triangular fuzzy Delphi was initially employed to identify and finalise the significant factors. Afterwards, the causal level‐based relationship network and the finalised factors' power map were accomplished for three distinct scenarios (i.e., the pessimistic, probable and optimistic conditions). To this end, a novel integration of hesitant triangular fuzzy sets and interpretive structural modelling‐matrix‐based multiplication applied to a classification was designed and applied. As a result, future workplace concerns were systematically reviewed. From the initial list of 34 factors, eight were selected from the perspective of three panels of experts (15 international entrepreneurs) as the most crucial for international small and medium enterprises due to implementing the hesitant triangular fuzzy sets. Furthermore, the selected factors were categorised and levelled according to the novel interpretive structural modelling‐matrix‐based multiplication applied to a classification method developed in this article. Accordingly, for each scenario studied, from low to high uncertainty and indeterminacy, a separate conceptual model illustrating the relationship among the factors propelling the reimagining of the future of the workplace was presented.

Spatial Distribution in Surface Aerosol Light Absorption Across India

AbstractLight‐absorbing carbonaceous aerosols that dominate atmospheric aerosol warming over India remain poorly characterized. Here, we delve into UV‐visible‐IR spectral aerosol absorption properties at nine PAN‐India COALESCE network sites (Venkataraman et al., 2020, https://doi.org/10.1175/bams‐d‐19‐0030.1). Absorption properties were estimated from aerosol‐laden polytetrafluoroethylene filters using a well‐constrained technique incorporating filter‐to‐particle correction factors. The measurements revealed spatiotemporal heterogeneity in spectral intrinsic and extrinsic absorption properties. Absorption analysis at near‐UV wavelengths from carbonaceous aerosols at these regional sites revealed large near‐ultraviolet brown carbon absorption contributions from 21% to 68%—emphasizing the need to include these particles in climate models. Further, satellite‐retrieved column‐integrated absorption was dominated by surface absorption, which opens possibilities of using satellite measurements to model surface‐layer optical properties (limited to specific sites) at a higher spatial resolution. Both the satellite‐modeled and direct in‐situ absorption measurements can aid in validating and constraining climate modeling efforts that suffer from absorption underestimations and high uncertainties in radiative forcing estimates.

Barriers and facilitators of the nurse providing evidence-based preoperative visit-care for transcatheter aortic valve replacement: a mixed-methods study based on an evidence application setting

BackgroundPreoperative visit-care for transcatheter aortic valve replacement (TAVR) plays a crucial role in improving the quality of care and patient safety. However, preoperative care for TAVR patients is still in its early stages in China, with the care often being experience-based. The application of relevant evidence in nursing practice is necessary. Little is known regarding the facilitators and barriers to apply and compliance to the evidences about preoperative visit-care for TAVR in nursing.MethodsThe Nurse’s Compliance Checklist was used to investigate the evidence-based compliance of nurses (n = 21) who worked in the TAVR team in the evidence-based implementation setting. Meanwhile, an Evidence-Based Practice Beliefs Scale, and Influencing Factors Checklist were used to investigate all nurses (n = 66) who work in the same setting. Stakeholders (Middle and senior-level nursing administrators, frontline clinical nurses, and patients) interview was carried out to further disclose the barriers and facilitators in the process of evidence-based practice.ResultsThe results of this study showed that only 1 evidence implemented fully (100%) by nurses, 3 evidences with 0% implementation rate, and implementation rate of the other evidences were 9.5∼71.4%. The overall score of nurses’ evidence-based nursing belief level was (3.52 ± 0.82). Three domains of barriers were identified: the Context Domain included lack of nursing procedures, inadequate health education materials, insufficient training; the Practitioner Domain included insufficient attention, lack of relevant knowledge, high work pressure and uncertainty of expected results, and Patient Domain included lack of relational knowledge. Facilitating factors included leadership support, nurse’ high evidence-based nursing belief, high executive ability and enthusiasm for learning.ConclusionThe study indicated that the nurses’ compliance of evidence-based practice in preoperative visit-care for TAVR was in lower level. There were some factors influencing the application of the evidences. The study revealed potential modifiable barriers to the successful implementation of evidence-based preoperative visit-care, including a lack of preoperative visit- care routine, related knowledge and training. Leadership support and nurse training should be considered to improve nurses’ compliance with evidence-based practice.