Field Of Science Research Articles

Emerging Hybrid Metal Halide Glasses for Sensing and Displays.

Glassy hybrid metal halides have emerged as promising materials in recent years due to their high structural adjustability and low melting points, offering unique merits that overcome the limitations of their crystalline and polycrystalline counterparts as well as other conventional amorphous semiconductors. This review article comprehensively explores the structural characteristics, electronic properties, and chemical coordination of hybrid metal halides, emphasizing their role in the glass transition from the crystalline phase to the amorphous phase. We examine the intrinsic disorder within the amorphous phase that facilitates light transmission and discuss recent advances in device architecture and interface engineering by optimizing the charge transport of glassy hybrid metal halides for high-quality applications. With full theoretical understanding and rational structural design, potential applications in displays, information storage, X-ray imaging, and sensing are highlighted, underscoring the transformative impact of glassy hybrid metal halides in the fields of materials science and information science.

Pressure Characteristics and Secondary Ignition Effects of Gas Produced in RDE Using Lignite and Anthracite/CH4 Fuel.

This study aims to address the energy efficiency release and environmental impact of coal dust in rotating detonation engines (RDEs) by monitoring the detonation characteristics of lignite and anthracite in methane gas-solid mixtures using high-precision sensor technology. Experimental results indicate that the peak detonation pressure of anthracite is 1.4% higher than that of lignite, and its detonation wave propagation speed is at least 5.5% faster, suggesting that anthracite exhibits more stable and efficient fuel energy release characteristics during detonation. Additionally, the sensor technology enabled detailed recording of pressure fluctuations and gas composition changes during the detonation process, providing accurate data for assessing and controlling emissions of harmful gases such as carbon monoxide and carbon dioxide. These data are crucial for designing more efficient and environmentally friendly coal dust detonation systems, enhancing mine safety and environmental protection. The outcomes of this research not only advance technological progress in the field of energy science but also address efficiency and environmental issues in industrial applications, offering significant support for achieving safer and more sustainable energy production methods.

Sensory and consumer science: A complex, expanding, and interdisciplinary field of science

This paper proposes an updated, contemporary definition of Sensory and Consumer Science. We do so based on survey results from 221 professionals, meaning that the definition represents more than our personal views. Specifically, the proposed definition is: “Sensory and Consumer Science is an interdisciplinary field that encompasses sensory-only research and consumer-centric studies, focusing both on responses to specific products and consumer behaviour more generally. While the field is primarily centred on food, it also extends to non-food items. Researchers employ both quantitative and qualitative methods to conduct their studies. Sensory and Consumer professionals engage in both basic academic research and applied commercial research, operating within an increasingly global and multicultural context.” All aspects of this definition were endorsed by a majority of the professionals participating in the surveys, and some aspects were nearly universally accepted. A longer version of the definition is also proposed, which helps to explain/elaborate on the different elements. We urge further discussion and refinement of the short and long definitions. This may lead to further variants that are narrower/broader in scope depending on personal and professional preferences and context.

EMPOWERING EDUCATION: INTEGRATING CRITICAL PEDAGOGY INTO TRANSFORMATIVE TEACHING STRATEGIES

The objective of this study is to explore the implications and effectiveness of critical pedagogy in fostering social justice and empowering students in educational settings. This research adopts a qualitative approach, employing literature review to examine the implementation and outcomes of critical pedagogy in various educational contexts The study findings reveal that critical pedagogy serves as a powerful tool for challenging societal norms, empowering marginalized individuals, and promoting social justice within educational settings. Through student-centered learning, collaborative problem-solving, and the development of 21st-century skills, critical pedagogy equips students with the tools and mindset necessary to critically evaluate their surroundings and take action to address oppressive conditions in society. Furthermore, the research highlights the pivotal role of teachers in facilitating critical inquiry, fostering dialogue, and promoting social justice within the classroom. By engaging in self-reflection and transformative practice, educators can create inclusive learning environments that empower students to become active agents in their education and advocates for positive change in society. he contribution of the results of this research to the development of the scientific field lies in providing insights into the practical application of critical pedagogy in classrooms, highlighting its capacity to equip students with critical thinking skills and a sense of agency to address oppressive conditions, thereby advancing the discourse on transformative education practices and social justice within educational contexts.

Luminescence enhancement of carbon dots synthesized by intense CW laser at 450 nm irradiating biocompatible solutions

Carbon dots (CDs) were synthesized by a continuum wave (CW) laser system irradiating vegetable charcoal placed in a Phosphate-Buffered Saline (PBS) solution. The laser operates at 450 nm with an output power of 50 W and 1 mm2 spot size, irradiating the carbon target for 1–3 h. The used charcoal consists of amorphous carbon that gives rise to CDs in liquids revealing high luminescence in the blue region. The formation of CDs is due to photo-thermal and photo-chemical effects induced by the prolonged laser irradiation inducing carbon atom ejection, scissions, radical formation, chemical bond breaking, molecular detachment bounded by weakened bonds and van de Walls forces, and nanoparticle functionalization in the used solution. The measurements have been concerned with the laser ablation yield, the Fourier Transmission Infrared (FTIR) spectroscopy, the UV-Vis optical spectroscopy, and the luminescence yield induced by UV excitation lamp at 365 nm wavelength. The main luminescence peak is observed at about 480 nm, characteristic of the blue color, with less significant involvement of the near regions at about 450 nm and 520 nm. Results suggest that CDs luminescence can be enhanced by the laser irradiation time, the PBS concentration, and the addition of acetic acid in the PBS solution. The presented luminescence in biocompatible solutions found many applications in different scientific fields. Overall, it is discussed its application for bioimaging in the biomedical field.

Exploring play experience with Japanese science, technology, engineering, and mathematics undergraduates in interactive art making: A qualitative study

Higher education students in the science, technology, engineering, and mathematics (STEM) fields are actively engaged with coursework, and their emotional maturity may be underdeveloped. The aim of this qualitative study was to investigate whether interactive art-making can provide a potential space for STEM undergraduates to experience play and freely explore themselves. We introduced the mutual squiggle and story-making method (MSSM), an art-based method wherein a practitioner collaborates with a participant to create art, followed by semi-structured interviews. Thematic analysis of the interview transcripts from seven STEM undergraduates revealed four themes: personal joy and fulfillment, interaction as a pivotal aspect of play, acknowledging appropriate compromises, and a non-play experience. Our findings suggest that the potential space created by MSSM can help STEM students navigate play through picture-making and storytelling experiences. Practitioners who conduct art-making with clients should be aware that they are being observed by participants and exhibit playful attitudes. This study sheds light on lowering the barrier to seeking help among STEM students. Further studies involving different academic disciplines as target groups are required. Policymakers should be aware of the importance of positive emotions aroused in play for STEM undergraduates to seek psychological support.

Electrochemical Performance and Characterisation of Chemically Treated Conductive PLA Fused Deposition Modelling (FDM) Current Collectors within Additively Manufactured (3D-Printed) Symmetric Carbon Supercapacitors

Within the fields of materials science, producing reliable, long-lasting, and efficient energy storage devices to meet the world’s energy needs remains a foremost research goal. 3D-printing (also known as Additive Manufacturing) provides many benefits to this research [1-8], allowing for excellent customization and freedom of design, while eliminating waste material in the manufacturing process. Wearable electronics, medical implants, and the Internet of Things will doubtless benefit from the advantages provided by additive manufacturing.Our previous work compared the electrochemical performances of symmetric carbon-based supercapacitor devices made using two 3D-printing techniques, SLA (stereolithography) and FDM (fused deposition modelling). Though possessing excellent cycle life, the conductive polylactic acid (PLA) FDM printed current collectors suffered from relatively high resistance and poor cyclic voltammetry curves (far from the rectangular shape of ideal electronic double-layer capacitors). This study aims to improve the conductivity of the FDM current collectors via chemically induced surface modification [9]. Both dimethylformamide (DMF) and aqueous potassium hydroxide (KOH) treatments are used for this purpose. The untreated, DMF-treated, and KOH-treated FDM current collectors are loaded with 1:1 by mass single-walled carbon nanotubes and graphene nanoplatelets carbon slurry, placed within stereolithography (SLA) 3D-printed casings [10], and assembled as supercapacitor cells (separated by glass microfiber filter separators soaked in 6 M aqueous KOH electrolyte).This works shows how DMF treatment method results in little change in electrochemical performance compared to the untreated FDM current collector cells, but pre-treatment in a solution of KOH identical to the cell electrolyte markedly improves the current collector conductivity. The KOH treatment provides a tenfold decrease in the FDM current collector resistance, which correlates with the improved cyclic voltammetric response. Galvanostatic charge-discharge tests reveal the effect of these treatments on specific capacitance, charge-discharge response, efficiency, and rate capability for these printed cells. The pre-treatment confirms that the cell electrolyte does not limited long term performance by interacting with the PLA current collector in 3D printed supercapacitor cells and tests using other inorganic active materials will also be shown.

Light-Induced Redox Dynamics in Plasmonic Nanostructures and Photosensitizer Transition Metal Compounds

Solar energy harvesting is a nuanced scientific field that involves precise control across energy, time, and nanometer length scales. The understanding of how to harness sunlight to promote chemical reactions is vital for the advancement of renewable energy applications and a sustainable future. Limited knowledge of the precise chemical mechanisms underlying solar energy harvesting restricts widespread technological use and the development of photovoltaic devices that utilize light-harvesting biodegradable materials. My research focuses on developing a fundamental understanding of visible light-activated excited state chemistry that is of great importance in elucidating the mechanisms, structures, and design features for catalysis. In this talk, we will examine excited-state chemical structure dynamics in nanomaterials that use light-matter interactions to drive interfacial or intramolecular charge transfer. Steady-state and time-resolved optical/X-ray spectroscopy allow for the observation of these dynamics across an expansive timescale—from the seconds timescale of oxygen-evolving reactions to the ultrafast timescales of electronic and vibrational motion. Novel light-matter interactions in plasmonic nanostructures, biomimetic metal oxides, and molecular transition metal complexes will be discussed. The talk will conclude with future opportunities for expanding the scope of nanoscale photocatalysis and for designing enhanced localized control over excited-state chemistry.[1] E. A. Sprague-Klein*, X. He, M. W. Mara, B. J. Reinhart, S. Lee, L. M. Utschig, K. L. Mulfort, L. X. Chen*, D. M. Tiede*. “Photo-Electrochemical Effect in the Water Oxidation Catalyst Cobalt-Phosphate (CoPi),” ACS Energy Letters, 2022, 7, 9, 3129–3138. [2] N. L. Warren, U. Yunusa, A. B. Singhal, E. A. Sprague-Klein*. "Facilitating Excited-State Plasmonics and Photochemical Reaction Dynamics," Chemical Physics Reviews, (Accepted December 2023).[3] U. Yunusa, N. Warren, D. Schauer, P. Srivastava, E. Sprague-Klein*. "Plasmon resonance dynamics and enhancement effects in Tris(bipyridine)ruthenium(II) gold nanosphere oligomers," Nanoscale, (Under Review).

Introduction: special issue in honor of Walter Kintsch

ABSTRACT This special issue in Discourse Processes is in honor of the late Walter Kintsch. The interdisciplinary scope of his research had a tremendous impact across multiple fields, including discourse processes, psycholinguistics, cognitive science, and education, being cited tens of thousands of times. To honor his influence on the field and the numerous scientists who had been guided by his mentorship, this special issue includes 18 commentaries from his colleagues, former postdocs, and graduate students representing multiple generations of scholars. The contributing authors describe the impact of his work on the field of discourse processes from their academic perspectives and fields of study, and also share personal accounts of how Walter impacted their lives and careers. These commentaries are loosely organized in three partially overlapping themes related to how Walter’s work influenced the fields of discourse processing and cognitive science, extensions beyond text comprehension, and real-world applications.

Supramolecular Complex Surfactants and Structured Liquids Enabled by Cation-π and Charge-Transfer Interactions.

Cation-π and charge-transfer (CT) interactions are pervasive with significant implications in the fields of chemistry, materials science, and biology. However, much less is known about the construction of interfacial assemblies based on the two interactions. Here, by combining cation-π and CT interactions between an acceptor molecule, dicationic naphthalenediimide, and an aromatic donor, pyrene-terminated poly-l-lactic acid, we report the generation of supramolecular complex surfactants (SCSs) in situ at the toluene-water interface. The utilization of SCSs as building blocks enables the fabrication of interfacial assemblies including 2D films, emulsions, and structured liquids. By modification of the redox state of the acceptor molecules under chemical stimulus, the association/assembly and dissociation/disassembly of SCSs can be precisely regulated, imparting intriguing redox-responsive properties to the resulting assemblies.

Natural Language Processing Pretraining Language Model for Computer Intelligent Recognition Technology

Computer intelligent recognition technology refers to the use of computer vision, Natural Language Processing (NLP), machine learning and other technologies to enable computers to recognize, analyze, understand and answer human language and behavior. The common applications of computer intelligent recognition technology include image recognition, NLP, face recognition, target tracking, and other fields. NLP is a field of computer science, which involves the interaction between computers and natural languages. NLP technology can be used to process, analyze and generate natural language data, such as text, voice and image. Common NLP technology applications include language translation, emotion analysis, text classification, speech recognition and question answering system. Language model is a machine learning model, which uses a large number of text data for training to learn language patterns and relationships in text data. Although the language model has made great progress in the past few years, it still faces some challenges, including: poor semantic understanding, confusion in multilingual processing, slow language processing and other shortcomings. Therefore, in order to optimize these shortcomings, this article would study the pre-training language model based on NLP technology, which aimed at using NLP technology to optimize and improve the performance of the language model, thus optimizing the computer intelligent recognition technology. The model had a higher language understanding ability and more accurate prediction ability. In addition, the model could learn language rules and structures by using a large number of corpus, so as to better understand natural language. Through experiments, it could be known that the data size and total computing time of the traditional Generative Pretrained Transformer-2 (GPT-2) language model were 10 GB and 97 hours respectively. The data size and total computing time of BERT (Bidirectional Encoder Representations from Transformer) were 12 GB and 86 hours respectively. The data size and total computing time of the pre-training language model based on NLP were 18 GB and 71 hours respectively. Obviously, the pre-training language model based on NLP had a larger data size and shorter computing time. The experimental results showed that the NLP technology could better optimize the language model and effectively improve its various capabilities. This article opened up a new development direction for computer intelligent recognition technology and provided excellent technical support for the development of language models.

Continuous polyamorphic transition in high-entropy metallic glass

Polyamorphic transition (PT) is a compelling and pivotal physical phenomenon in the field of glass and materials science. Understanding this transition is of scientific and technological significance, as it offers an important pathway for effectively tuning the structure and property of glasses. In contrast to the PT observed in conventional metallic glasses (MGs), which typically exhibit a pronounced first-order nature, herein we report a continuous PT (CPT) without first-order characteristics in high-entropy MGs (HEMGs) upon heating. This CPT behavior is featured by the continuous structural evolution at the atomic level and an increasing chemical concentration gradient with temperature, but no abrupt reduction in volume and energy. The continuous transformation is associated with the absence of local favorable structures and chemical heterogeneity caused by the high configurational entropy, which limits the distance and frequency of atomic diffusion. As a result of the CPT, numerous glass states can be generated, which provides an opportunity to understand the nature, atomic packing, formability, and properties of MGs. Moreover, this discovery highlights the implication of configurational entropy in exploring polyamorphic glasses with an identical composition but highly tunable structures and properties.

Unsteady magnetohydrodynamic bioconvection Casson fluid flow in presence of gyrotactic microorganisms over a vertically stretched sheet

The free convective, unsteady, two-dimensional (2D) magnetohydrodynamic (MHD) Darcy–Forchheimer Casson fluid flow via a vertical stretching sheet containing gyrotactic microorganisms was the novel aspect of this investigation. We rewrote the collection of partial differential equations (PDEs) as nonlinear ordinary differential equations (ODEs) by considering an appropriate similarity variable. We solved the overhaul of nonlinear ODEs using MATLAB’s bvp4c approach. This study rigorously investigates the significance of gyrotactic microorganisms for Casson fluid motility. Additionally, this work investigates the impact of various parameters, including magnetic parameters, thermophoresis, Brownian motion, and radiation parameters, on temperature, motile microorganisms, velocity, and concentration profiles. We use graphs to illustrate the outcomes of various fluid flow parameters. Numerical tables display the effects of different parameters on skin friction, Sherwood number, Nusselt number, and the quantity of motile microorganisms. The unsteady parameter causes a drop in the velocity, temperature, concentration, and the density profile of microorganisms. Additionally, the Casson parameter leads to a decrease in the flow profile, while simultaneously increasing the heat, concentration, and microorganism density profiles. The microorganism density profile decreases as the bioconvection Schmidt number, Peclet number, and motile microbe parameter increase. We deem the new results extremely satisfactory when compared to earlier research. The fields of environmental remediation, biomedical sciences, and engineering may find this examination useful.

Selected Configuration Interaction for Resonances.

Electronic resonances are metastable states that can decay by electron loss. They are ubiquitous across various fields of science, such as chemistry, physics, and biology. However, current theoretical and computational models for resonances cannot yet rival the level of accuracy achieved by bound-state methodologies. Here, we generalize selected configuration interaction (SCI) to treat resonances by using the complex absorbing potential (CAP) technique. By modifying the selection procedure and the extrapolation protocol of standard SCI, the resulting CAP-SCI method yields resonance positions and widths of full configuration interaction quality. Initial results for the shape resonances of N2- and CO- reveal the important effect of high-order correlation, which shifts the values obtained with CAP-augmented equation-of-motion coupled-cluster with singles and doubles by more than 0.1 eV. The present CAP-SCI approach represents a cornerstone in the development of highly accurate methodologies for resonances.

Problem of Animal Rights in Selected Works by Dorota Probucka

This article presents the idea of animal rights as perceived by a Polish philosopher and ethicist, Dorota Probucka. It is divided into three sections that delve into the development and significance of animal rights from the perspectives of both proponents and critics of the idea. The first section provides an overview of the turning points in the history and evolution of animal rights, referring to the main thinkers who had the fundamental impact on their development. The second part defines the concept of animal rights and explains why extending fundamental rights to at least some non-human beings is important from both moral and legal perspectives. The third part compares the arguments of the proponents and opponents of the idea of granting basic rights to animals. The philosophers’ positions presented by Probucka prove that beings capable of suffering, regardless of their intellectual abilities, deserve moral consideration. This stance is supported by numerous arguments from various fields of science, demonstrating the degree of awareness and emotional complexity of animals. These arguments should contribute to the recognition of animal rights within a moral and legal context. The article also emphasizes the need for legal reforms, including the need to introduce formal legal structures, such as the appointment of the so-called Animal Rights Ombudsman, who could represent animals at an institutional level. Considering the growing bioethical and biocentric awareness, the article emphasizes the need to redefine our attitude towards animals. It also postulates the necessity of implementing legal reforms that will make animals full participants of the moral community, which is of key importance for the future of both people and animals on our planet.

In 50 Shades of Orange: Germany’s Photovoltaic Power Generation Landscape

Spatiotemporally resolved data on photovoltaic (PV) power generation are very helpful to analyze the multiple impacts of this variable renewable energy on regional and local scales. In the absence of such disaggregated data for Germany, numerical simulations are needed to obtain the electricity production from PV systems for a time period and region under study. This manuscript presents how a physical simulation model, which uses open access weather and plant data as input vectors, can be created. The developed PV model is then applied to an ensemble of approximately 1.95 million PV systems, consisting of ground-mounted and rooftop installations, in order to compute their electricity production in Germany for the year 2020. The resulting spatially aggregated time series closely matches the measured PV feed-in pattern of Germany throughout the simulated year. Such disaggregated data can be applied to investigate the German PV power generation landscape at various spatiotemporal levels, as each PV system is taken into account with its technical data and the weather conditions at its geo-location. Furthermore, the German PV power generation landscape is presented as detailed maps based on these simulation results, which can also be useful for many other scientific fields such as energy system modeling.

Revealing the effects of pressure on periodic descriptors

A number of researchers have proposed different scales for calculating the various atomic descriptors. Atomic descriptors viz. electronegativity and hardness, react differently to varied pressures as demonstrated by a recent study. This work explores the complex interplay in the field of molecular interactions involving pressure, electronegativity, chemical hardness and electrophilicity index. Although it is known that pressure plays a vital role in adjusting the electrical features of molecules, a little is known about how pressure specifically affects basic chemical ideas. After a thorough analysis, we have revealed the complex impact of pressure on the atomic electrophilicity index. The principles of equalisation for hardness, electronegativity and electrophilicity under various pressures (0, 200 and 500 GPa) have been analysed and presented in a novel way. This study advances our understanding of pressure's effect on molecular characteristics. The knowledge gathered from this research has a wide range of usage in scientific fields, which include materials science and chemical reactivity in harsh environments. It also lays the groundwork for future works pertaining to pressure-driven molecular design and application developments.

Ionic Liquid Induced Aggregation and Precipitation Behavior of Pinacyanol

AbstractIn this paper, we demonstrate the unique role of ionic liquids (ILs) as dye aggregation and precipitation promoter. Specifically, we have observed that the presence of small amount of IL such as 1‐butyl‐3‐methylimidazolium hexaflurophosphate ([bmim][PF6]), 1‐butyl‐3‐methylimidazolium bis(trifluoromethylsulfonyl)imide ([bmim][Tf2N]), 1‐butyl‐3‐methylimidazolium trifluoromethanesulfonate ([bmim][OTf]), 1‐butyl‐3‐methylimidazolium tetrafluoroborate ([bmim][BF4]) and 1‐butyl‐1‐methylpyrrolidinium bis(trifluoromethylsulfonyl)imide ([bmpyrr][Tf2N]) in aqueous milieu can help in the conversion of a cyanine dye 1,1’‐Diethyl‐2,2’‐carbocyanine iodide (Pinacyanol iodide) into J‐ and H‐aggregates followed by time dependent precipitation of the dye. The anion of the added IL strongly affects the aggregation process in aqueous solution. Addition of small amount of BF4− anion based IL [bmim][BF4] to aqueous solution of the dye initially induces J‐ and H‐aggregation followed by quick precipitation of the dye in time dependent manner. Presence of small amount of other anion containing ILs such as ([bmim][PF6]), ([bmim][OTf]), ([bmim][Tf2N]) and ([bmpyrr][Tf2N]) strongly supports H‐aggregation of the dye in aqueous solution whereas higher wt % of added ILs also caused precipitation of the dye in a time dependent manner. The nature of the IL anion, wt % of added IL and temperature conditions decides efficiencies of aggregation and precipitation processes. The dual yet unique behavior of ILs as an additive influence the aggregation of cyanine dyes and precipitation has been demonstrated. The observed results can contribute towards various application for dye aggregates and in the removal of dyes from water. The developed process can find potential applications in the field of material science, wastewater treatment, future light harvesting systems, and opto‐electronics related fields.

Perspectivas entre Memória e Competência em Informação

The theme of memory, like information, transcends the limits of a single field of study and has been addressed by multiple domains of knowledge, due to this characteristic it becomes possible to relate it to Information Literacy in several aspects. This study aims to verify, through a literature review, what has been produced in the field of Information Science about the relationship between memory and information literacy. The research, of an exploratory and bibliographic nature, employs a qualitative approach and uses the Scopus and Web of Science databases for the literature review. The research resulted in the identification of 18 (eighteen) articles that deal with the topic of information literacy and memory. To analyze the selected texts, they were categorized, creating the following categories: information literacy and human memory, information literacy and artificial memory, information literacy and social memory. In general, the analysis of the articles revealed that there is a significant gap when searching for articles with both themes. Most studies have focused on information literacy and human memory, addressing issues of memorization capacity as an aspect for assessing learning and a benefit to reduce cognitive load and stress at work, the impact of memory on information management and its relationship with Information Literacy.

Adaptation and validation of the evidence-based practice profile (EBP2) questionnaire in a Norwegian primary healthcare setting

BackgroundAccess to valid and reliable instruments is essential in the field of implementation science, where the measurement of factors associated with healthcare professionals’ uptake of EBP is central. The Norwegian version of the Evidence-based practice profile questionnaire (EBP2-N) measures EBP constructs, such as EBP knowledge, confidence, attitudes, and behavior. Despite its potential utility, the EBP2-N requires further validation before being used in a cross-sectional survey targeting different healthcare professionals in Norwegian primary healthcare. This study assessed the content validity, construct validity, and internal consistency of the EBP2-N among Norwegian primary healthcare professionals.MethodsTo evaluate the content validity of the EBP2-N, we conducted qualitative individual interviews with eight healthcare professionals in primary healthcare from different disciplines. Qualitative data was analyzed using the “text summary” model, followed by panel group discussions, minor linguistic changes, and a pilot test of the revised version. To evaluate construct validity (structural validity) and internal consistency, we used data from a web-based cross-sectional survey among nurses, assistant nurses, physical therapists, occupational therapists, medical doctors, and other professionals (n = 313). Structural validity was tested using a confirmatory factor analysis (CFA) on the original five-factor structure, and Cronbach’s alpha was calculated to assess internal consistency.ResultsThe qualitative interviews with primary healthcare professionals indicated that the content of the EBP2-N was perceived to reflect the constructs intended to be measured by the instrument. However, interviews revealed concerns regarding the formulation of some items, leading to minor linguistic revisions. In addition, several participants expressed that some of the most specific research terms in the terminology domain felt less relevant to them in clinical practice. CFA results exposed partial alignment with the original five-factor model, with the following model fit indices: CFI = 0.749, RMSEA = 0.074, and SRMR = 0.075. Cronbach’s alphas ranged between 0.82 and 0.95 for all domains except for the Sympathy domain (0.69), indicating good internal consistency in four out of five domains.ConclusionThe EBP2-N is a suitable instrument for measuring Norwegian primary healthcare professionals’ EBP knowledge, attitudes, confidence, and behavior. Although EBP2-N seems to be an adequate instrument in its current form, we recommend that future research focuses on further assessing the factor structure, evaluating the relevance of the items, and the number of items needed.RegistrationRetrospectively registered (prior to data analysis) in OSF Preregistration. Registration DOI: https://doi.org/10.17605/OSF.IO/428RP.