Related Complexes Research Articles

The effect of the geotectonic settings of volcano-plutonic belts on the metallogeny of the porphyry copper ore regions and clusters

The effect has been appreciated of the geotectonic settings of formation of volcano-plutonic belts on the ore-formation zonality of their related complex porphyry copper ore-magmatic systems (equivalent to ore regions and clusters). It is shown that combinations of different types of ore deposits, spatially and genetically associated with porphyry copper deposits within the volume of the unified systems, depend on the earth’s crust structure, on the position and nature of the ore-bearing magmatic chambers, as well as on the metallogeny of the belt basements. The identified specific characteristics of the complex multiformational metallogeny of the ore-magmatic systems should be taken into account in the forecast and prospecting for both porphyry copper deposits and their associated ore deposits of other ore-formation types.

Revolutionizing Recruitment: The Rise of Artificial Intelligence in Talent Acquisition

Artificial intelligence (AI) is used in the field of talent acquisition in human resources; it has emerged as a focal point in modern recruitment techniques. Companies are increasingly using AI-based algorithms to innovate and streamline their employment procedures. This technology has numerous benefits; it considerably increases the efficiency and effectiveness of talent acquisition procedures. Technology has a significant impact on hiring HR professionals. AI's effects on HR recruiting have been demonstrated by several studies, with particular attention paid to candidates' perceptions of AI. This study investigates the integration of Artificial Intelligence into the recruitment process, examining the influence of key independent variables such as Relative Advantage, Regulatory Environment, Technological Complexity, and Technology Competence on the adoption and utilization of AI in hiring. The primary focus of this study is the dependent variable, AI usage in recruitment, reflecting the extent to which organizations use AI technologies in their hiring process. This study aims to provide a deeper understanding of the factors that facilitate or hinder the successful integration of AI into the recruitment process through a comprehensive analysis of these independent variables. The expected contributions of this research include offering valuable insights for HR professionals, industry stakeholders, and decision-makers, promoting more effective and efficient recruitment practices, and leveraging AI technologies to optimize talent acquisition. By identifying key factors that impact AI adoption, this study aims to inform strategies for seamless integration of AI into hiring practices, ultimately helping organizations gain a competitive edge in the ever-evolving job market.

Examining the Role of Confidence in Retail Pharmacy Brands in Shaping Consumer Behavior Towards Pharmaceutical Private Labels in Malaysia

The pharmaceutical sector in Malaysia is experiencing a significant change marked by changing consumer demands, rising competition, and shifting market dynamics. One significant trend in this market is the growing significance of private labels in the pharmaceutical sector. In Malaysia, private labels provide an alternative to branded pharmaceutical medicines, offering similar effectiveness and quality at a potentially reduced price, as seen in various other markets. While private labels may appeal to consumers, they present challenges for pharmaceutical companies and retail pharmacies that are striving to differentiate themselves in a highly competitive industry. One crucial factor shaping consumer behavior in this context is confidence in retail pharmacy brands. Confidence encompasses consumers' trust, familiarity, and perceived reliability of retail pharmacy brands, influencing their purchase decisions and brand loyalty. While existing research has explored factors such as price, quality, and product attributes in shaping consumer preferences, the role of confidence in retail pharmacy brands remains underexplored. This concept paper seeks to address this research gap by examining the role of confidence in retail pharmacy brands in shaping consumer behavior towards pharmaceutical private labels in Malaysia. By investigating the influence of confidence on adoption intentions and its potential mediating effects on factors such as relative advantage, compatibility, risk and complexity, this study aims to provide a comprehensive understanding of the mechanisms driving private label adoption in the pharmaceutical sector. This concept paper establishes a foundation for a thorough examination of how confidence in retail pharmacy brands influences customer behavior towards pharmaceutical private labels in Malaysia by examining literature, theoretical frameworks, and empirical findings. By shedding light on this dynamic relationship, the study aims to offer insights that can inform marketing strategies, enhance consumer trust, and promote the sustainable growth of private labels in the pharmaceutical industry.

Influence of Hydroxycoumarin Substituents on the Photophysical Properties of Chiroptical Tb(III) and Eu(III) Complexes.

In this article, the synthesis, density functional theory (DFT) structural characterization, and spectroscopic investigation of chiral and heteroleptic Tb(III) and Eu(III) complexes are presented. These molecules are characterized by two different ligands: the enantiopure N,N'-bis(2-pyridylmethyl)-trans-1,2-diaminocyclohexane-N,N'-diacetic acid (H2bpcd) and a hydroxycoumarin-based ligand bearing different substituents in C(3) position (i.e., acetyl group in Coum, ethyl ester in CoumA, secondary and tertiary amides in CoumB and CoumC, respectively). The coumarin ligands exhibited different luminescence sensitization efficiency toward Tb(III) and Eu(III) ions in the related complexes of chemical formula [Ln(bpcd)(Coum)], [Ln(bpcd)(CoumA)], [Ln(bpcd)(CoumB)], [Ln(bpcd)(CoumC)]. Through theoretical calculations of intramolecular energy transfer (IET) processes (ligand-to-metal) in Eu(III) and Tb(III) complexes, along with quantum yield calculations, we provide a reasonable explanation for the observed differences in their luminescence properties. The nature of the coumarin ligand also affects the chiroptical properties of the Tb(III) complexes [i.e., circularly polarized luminescence (CPL) and electronic circular dichroism (ECD)].

Reading, Reflection, and Resilience in the Study of Australian Literature

ABSTRACT This article explores supportive learning practices and related complexities in a first-year Australian literature course anecdotally reported to be challenging in content because it requires the study of several traumatic narratives as well as texts that directly contradict accepted discourses of Australian history and culture. The article analyses the role of critical reflection in developing students’ skills in reading resilience, with a focus on responding to trauma and the complex entanglements of language, power, and identity. In doing so, we offer an understanding of how critical reflection can constitute a useful response to reading triggering texts, particularly when affective response is bound up with pre-existing ideas about collective identity in a post/neo-colonial context. Thematic analysis revealed the presence of three core themes patterned across the data: confrontation and discomfort, relatability and familiarity, and perseverance versus abandonment. Our work expands literary studies pedagogy by contributing valuable insights into students’ affective responses to reading challenging texts, the relationship between discomfort, relatability, and engagement in the literary studies classroom, and the independent development of strategies for reading stamina.

Complex portal 2025: predicted human complexes and enhanced visualisation tools for the comparison of orthologous and paralogous complexes.

The Complex Portal (www.ebi.ac.uk/complexportal) is a manually curated reference database for molecular complexes. It is a unifying web resource linking aggregated data on composition, topology and the function of macromolecular complexes from 28 species. In addition to significantly extending the number of manually curated complexes, we have massively extended the coverage of the human complexome through the incorporation of high confidence assemblies predicted by machine-learning algorithms trained on large-scale experimental data. The current content of the portal comprising 2150 human complexes has been augmented by 14964 machine-learning (ML) predicted complexes from hu.MAP3.0. We have refactored the website to enable easy search and filtering of these different classes of protein complexes and have implemented the Complex Navigator, a visualisation tool to facilitate comparison of related complexes in the context of orthology or paralogy. We have embedded the Rhea reaction visualisation tool into the website to enable users to view the catalytic activity of enzyme complexes.

Molecular glues that inhibit deubiquitylase activity and inflammatory signalling.

Deubiquitylases (DUBs) are crucial in cell signalling and are often regulated by interactions within protein complexes. The BRCC36 isopeptidase complex (BRISC) regulates inflammatory signalling by cleaving K63-linked polyubiquitin chains on Type I interferon receptors (IFNAR1). As a Zn2+-dependent JAMM/MPN DUB, BRCC36 is challenging to target with selective inhibitors. We discovered first-in-class inhibitors, termed BRISC molecular glues (BLUEs), which stabilise a 16-subunit BRISC dimer in an autoinhibited conformation, blocking active sites and interactions with the targeting subunit SHMT2. This unique mode of action results in selective inhibition of BRISC over related complexes with the same catalytic subunit, splice variants and other JAMM/MPN DUBs. BLUE treatment reduced interferon-stimulated gene expression in cells containing wild type BRISC, and this effect was absent when using structure-guided, inhibitor-resistant BRISC mutants. Additionally, BLUEs increase IFNAR1 ubiquitylation and decrease IFNAR1 surface levels, offering a potential new strategy to mitigate Type I interferon-mediated diseases. Our approach also provides a template for designing selective inhibitors of large protein complexes by promoting, rather than blocking, protein-protein interactions.

FACTORS INFLUENCING CLOUD COMPUTING ADOPTION : TECHNOLOGY, ORGANIZATIONAL AND ENVIRONMENT (TOE) FRAMEWORK APPROACH

The latest technology that must be applied to prepare for modernity is based on information technology. This technology is not only used by large companies (enterprises) but can also be utilized by Micro, Small and Medium Enterprises (MSMEs). One of the utilization of technology is cloud computing by Micro and Medium Enterprises (MSMEs) which is increasingly widespread. This is reasonable because cloud computing technology provides benefits with a simpler process and relatively low costs. In line with this, this study aims to determine the factors that influence the adoption of cloud computing in MSMEs. An integrated model was developed based on the Technology, Organization, and Environment (TOE) framework. This research data was obtained through a structured survey questionnaire given to 150 MSME owners/managers in the Soloraya Region. The results obtained through SEM-PLS analysis show that factors such as organizational readiness and competitor pressure have a significant effect on cloud computing adoption in MSMEs in the Soloraya Region. However, factors of relative advantage, complexity, and top management support were found to have no significant effect on cloud computing adoption. This research provides a theoretical contribution to the expansion of the TOE Framework.

End-to-end system architectures in autonomous driving: Comparative analysis against modular design and technological exploration

Abstract. In the context of accelerated technological advancement, artificial intelligence is becoming an increasingly pivotal enabler of autonomous driving. With the integration of machine learning into autonomous driving systems, the traditional modular architecture has been disrupted, evolving into a more advanced end-to-end architecture. The end-to-end architecture has the advantages of simple structure and no cumulative error, especially under the current situation where a large amount of data and functions are continuously inputted, it demonstrates superior performance compared to the traditional modular system. However, the implementation of end-to-end is still mostly confined to academia and has not been widely applied to actual vehicles; the mainstream on actual vehicles is still the modular system architecture. As a result, the two system architectures are compared in this paper to ascertain their relative complexity, the extent to which errors are accumulated, their interpretability, the security they afford, and the extent of their data dependency. This is achieved through a comprehensive literature review. Furthermore, the paper delineates the deployment of the end-to-end system and outlines potential avenues for addressing the challenges that emerged during the implementation phase. The results indicate that the end-to-end system exhibits a certain degree of sophistication. However, a series of challenges pertaining to interpretability and security must be addressed to fully realize the potential of the end-to-end system.

The Cryptococcus neoformans STRIPAK complex controls genome stability, sexual development, and virulence.

This study focused on a highly conserved protein signaling complex known as STRIPAK, which is important for various developmental processes in fungi and humans. By investigating the functions of this complex in Cryptococcus neoformans , it was discovered to play crucial roles in maintaining genome stability, sexual development, and pathogenesis. In particular, mutations in the genes encoding two subunits of the STRIPAK complex were found to lead to significant defects, including abnormal growth and cell morphology, compromised stress response, and impaired virulence. Interestingly, mutation of a third STRIPAK complex subunit resulted in hypervirulence, characterized by increased thermotolerance, enhanced production of melanin pigment and polysaccharide capsule, and reduced survival in infected animals. Our findings reveal that the STRIPAK complex is an important regulator of growth and virulence of C. neoformans , highlighting its potential as a target for therapies aimed at combating fungal infections. This work furthers understanding of how the STRIPAK complex functions in Cryptococcus , and also in other organisms including humans, where related protein phosphatase complexes govern key cellular processes.

The Borel complexity of the space of left‐orderings, low‐dimensional topology, and dynamics

AbstractWe develop new tools to analyze the complexity of the conjugacy equivalence relation , whenever is a left‐orderable group. Our methods are used to demonstrate nonsmoothness of for certain groups of dynamical origin, such as certain amalgams constructed from Thompson's group . We also initiate a systematic analysis of , where is a 3‐manifold. We prove that if is not prime, then is a universal countable Borel equivalence relation, and show that in certain cases the complexity of is bounded below by the complexity of the conjugacy equivalence relation arising from the fundamental group of each of the JSJ pieces of . We also prove that if is the complement of a nontrivial knot in then is not smooth, and show how determining smoothness of for all knot manifolds is related to the L‐space conjecture.

Extreme soil salinity reduces N and P metabolism and related microbial network complexity and community immigration rate.

Soil microbiomes are well known to suffer from the effects of rising salinity. There are, however, no current understandings regarding its specific effects on microbial metabolic functions associated with nitrogen (N) and phosphorus (P) cycling, particularly in the Yellow River Delta (YRD), one of the largest estuaries in the world. This research examined soil microbiomes at 50 sites in the YRD region to analyze their co-occurrence networks and their relationship with N (nitrification, denitrification, dissimilatory, assimilatory, fixation, and mineralization) and P (solubilization, mineralization, transportation, and regulation) metabolism processes. Our findings indicate a notable reduction in soil multifunctionality as salinity levels increase, with Halofilum-ochraceum playing a significant role in nitrification, whereas Bacteroidetes-SB0662-bin-6 helps solubilize inorganic P in highly saline areas. High soil salinity negatively affected the amoA gene involved in nitrification and increased the nosZ gene involved in denitrification in extreme salinity soil with 8.2g/kg salt content. Extreme salinity significantly reduced the expression of genes involved in inorganic P solubilization, such as ppa and ppx. Additionally, the alkaline P gene phoD exhibited significant decreases in extremely saline soils, thereby impeding the mineralization of organic P. The neutral community models indicated that microbial community immigration rate showed a linear negative relationship with soil EC in the six N and four P processes. Salinization, however, displayed a nonlinear pattern with clearly defined thresholds on the community of microbes involved in N and P cycling. Reduced microbial diversity and interactions are causing a decline in soil multifunctionality, and the soil multifunctionality and network edges jointly limited the microbial community immigration rate involved in N and P cycling. It is crucial to preserve soil microbial functions to support nutrient cycling and predict the ecological effects of soil salinization.

Cloud Migration Analysis for Core System Infrastructure in Financial Services: Study Case PT XYZ

Currently, cloud computing adoption is being utilized in the financial sector for its flexibility and innovative technologies. This study assesses PT XYZ's readiness to migrate its core systems to a cloud environment, which is crucial for maintaining competitive agility and robustness in Indonesia's financial services sector. Focusing on the diffusion of innovations (DOI) model and the technology-organization-environment (TOE) framework, the research examines ten factors influencing PT XYZ's migration strategy. The analysis identifies challenges related to PT XYZ's aging on-premises infrastructure, including server procurement delays and maintenance issues, which impact operational efficiency. Through semi-structured interviews with key IT personnel, this study explores perceptions of the benefits and challenges of cloud computing, as well as regulatory compliance, aiming to guide PT XYZ toward a successful cloud migration that ensures continuity, compliance, and enhanced operational capabilities. The findings contribute to understanding the relative advantages, such as cost savings and security concerns, complexity, compatibility, technology readiness, top management support, firm size, competitive pressure, and regulatory factors. PT XYZ’s decision to migrate aligns with all the factors for cloud computing adoption, with the relative advantage, complexity, compatibility, technological readiness, and top management support being high impacts on the migration decision, while regulatory compliance presents a challenge for the financial services industry in Indonesia].

A global adoption of cryptocurrency and blockchain technology into the healthcare system

Abstract Background/Objectives Blockchain technology is revolutionizing various industries by enhancing security, transparency, and efficiency. In healthcare, its small-scale application demonstrates the potential to transform healthcare. This study explores how cryptocurrency and blockchain technology enhance healthcare financial stability, secure medical information exchange, increase payment recovery and interoperability. Methods Guided by the Diffusion of Innovations (DOI) Theory, this study reviews 34 articles on blockchain and cryptocurrency adoption in healthcare. We performed a thematic analysis focusing on empirical data, theoretical analyses, and existing implementations. Data were categorized by DOI elements: relative advantage, compatibility, complexity, trialability, observability, and social system. The findings were synthesized into a detailed framework for adopting these technologies in healthcare. Results Our analysis shows that cryptocurrency offers a secure, decentralized payment platform, eliminating the need for third-party intermediaries. Blockchain adoption enhances payment and patient record protection. Cryptographic methods ensure data integrity, transparency, and security, preventing modifications once recorded. Altering data requires consensus from the network majority, protecting healthcare providers from ransomware attacks. Conclusions Evidence suggests that cryptocurrency and blockchain will disrupt healthcare payments, data management, and accommodate interoperability within the next decade. These technologies promise improved security, improved public health research, and increased trust in the healthcare system. Key messages • Our research will be assessing the challenges of integrating digital coins and blockchain technology into the healthcare system. • Examine the potential benefits and risks of implementing blockchain technology in healthcare settings.

Synthesis, Structure, and Optical Property of Tris(biaryldiyl)metal Complexes Consisting of Group 9 Elements.

We report the synthesis and characterization of tris(biphenyl-2,2'-diyl)metal complexes of trivalent group 9 elements (1M, M = Co, Rh, Ir) and their nonplanarly π-extended analogs, tris(1,1'-binaphthyl-2,2'-diyl)metal complexes (2M, M = Rh, Ir). Single crystal X-ray crystallography reveals the distorted octahedral geometry with an approximate C3 symmetry of trianionic complexes 1M (M = Co, Rh, Ir) and 2M (M = Rh, Ir), which are contacted by three Li+ ions in the crystal. Complex 1Ir exhibits yellow luminescence in THF with a photoluminescence quantum yield (ΦPL) of up to 0.73, along with a distinctive photophysical property, namely, a concentration dependence of the emission wavelength from 530 to 580 nm. This is a characteristic property of 1Ir and has not been observed in its isoelectronic analog, tris(2-phenylpyridinato)iridium(III) (Ir(ppy)3). The concentration-dependent optical properties originate from the dissociation equilibria of Li+ ions from the anionic chromophore. Complex 2Ir also exhibits luminescence at 715 nm in THF, with a notable bathochromic shift from 1Ir through the π-extension. The findings offer insights into the photophysical properties of homoleptic organo-transition metal complexes, providing the foundation for the design of related transition metal complexes.

Exploring the role of AI-driven chatbots in patient care: a critical evaluation amidst healthcare staff shortages

Abstract Background Amidst the backdrop of staff shortages in healthcare systems, patients and their families are increasingly turning to chatbots, powered by Large Language Models (LLMs), for information about their medical conditions. These AI-driven chatbots, capable of generating human-like responses across a broad range of topics, have become a prevalent tool in the healthcare landscape. Given the proliferation of these chatbots, it is crucial to evaluate the quality and accuracy of the responses they provide. Methods We selected five freely accessible chatbots (Bard, Microsoft Copilot, PiAI, ChatGPT, and ChatSpot) for our study. These chatbots were posed questions spanning three medical fields: cardiology, cardio-oncology, and cardio-rheumatology. The responses generated by the chatbots were then compared against established guidelines from the European Society of Cardiology, American Academy of Dermatology, and American Society of Clinical Oncology. In addition to the content, the readability of the responses was evaluated using four different readability scales: the Flesch Reading Scale, Gunning Fog Scale Level, Flesch-Kincaid Grade Level, and Dale-Chall Score. To assess the accuracy of the responses in accordance with the medical guidelines, two independent medical professionals rated them on a 3-point Likert scale (0 - incorrect, 1 - partially correct or incomplete, 2 - correct). This allowed us to gauge the compliance of the chatbot responses with the medical guidelines. Results Results: In our study, we posed a total of 45 questions to each of the chatbots. Out of the five chatbots, Microsoft Copilot, PiAI, and ChatGPT were able to respond to all the questions. The length of the responses varied, with PiAI providing the shortest average response length of 7.26 words, and Bard providing the longest at 18.9 words. In terms of readability, the Flesch Reading Ease Scale scores ranged from 17.67 (ChatGPT) to 39.34 (Bard), indicating the relative complexity of the responses. The Flesch-Kincaid Grade Level, which reflects the academic grade level required to comprehend the text, ranged from 14.02 (PiAI) to 15.97 (ChatGPT). The Gunning Fog Scale Level, another measure of readability, varied from 15.77 (Bard) to 19.73 (ChatGPT). Lastly, the Dale-Chall Score, which assesses the understandability of the text, ranged from 10.24 (Bard) to 11.87 (ChatGPT). These results highlight the variability in the readability and complexity of responses generated by different chatbots. Readability analysis is presented in table 1. Conclusion This study indicates that chatbots vary in length, quality and readability. They answer each question in their way, based on data they have pulled from the network. Our data suggests that people who want information from a chatbot need to be careful and verify the answers they get.

High rate of macrolide resistance and closely genetically related Mycobacterium abscessus complex strains identified among both cystic fibrosis and non-cystic fibrosis patients within two countries.

This study highlights the importance of understanding Mycobacterium abscessus transmission because it poses a growing threat to vulnerable populations, especially young cystic fibrosis patients. Investigating how it spreads and which antibiotics work best is crucial for effective treatment. This research used whole genome sequencing to track M. abscessus and found evidence of potential transmission between patients, including across borders. The findings suggest that dominant strains are circulating and some patients may be infected through direct or indirect contact. This knowledge can inform infection control and treatment strategies.

Overview of Artificial Neural Network-Based Solution for Ordinary and Partial Differential Equations by Feed Forward Method Using Python

In the modern era, models such as Neural Networks are increasingly used to deal with ordinary and partial differential equations (ODEs-PDEs) because of their related complexity. The main aim of the paper is to focus on Artificial Neural Networks as a method to solve these equations since it is possible to approximate complex nonlinear relationships with great accuracy and adaptively reduce computational costs, thus enhancing the accuracy of solutions within highly dimensional and nonlinear problems. The traditional methods are not applicable to partial differential equations due to the problem of nonlinearity and high dimensionality. However, the Feed Forward method implemented in Python is quite a powerful alternative that can easily approximate complicated functions and very well have a hold on nonlinear equations. This research paper contains differential equations as nonlinear and linear equations and Feed Forward neural network models for both solutions of ODEs and PDEs. Python enables the integration of AI-based algorithms for the enhancement of more accurate and efficient results. This work compares the existing solutions based on ANNs and further highlights the possible advantages of using ANNs in ordinary as well as complex differential equations problems. The results indicate that ANNs have immense potential for further developing computational algorithms applicable to solving ODEs and PDEs, particularly in real-time applications that demand high precision and adaptability.

THz-EPR-based Magneto-Structural Correlations for Cobalt(II) Single-Ion Magnets With Bis-Chelate Coordination.

New cobalt(II)-based complexes with [N2O2] coordination formed by two bis-chelate ligands were synthesized and characterized by a multi-technique approach. The complexes possess an easy-axis anisotropy (D<0) and magnetic measurements show a field-induced slow relaxation of magnetization. The spin-reversal barriers, i. e., the splitting of the two lowest Kramers doublets (UZFS), have been measured by THz-EPR spectroscopy, which allows to distinguish the two crystallographically independent species present in one of the complexes. Based on these experimental UZFS energies together with those for related complexes reported in literature, it was possible to establish magneto-structural correlations. UZFS linearly depends on the elongation parameter ϵT of the (pseudo-)tetrahedral coordination, which is given by the ratio between the average obtuse and acute angles at the cobalt(II) ion, while UZFS was found to be virtually independent of the twist angle of the chelate planes. With increasing deviation from the orthogonality of the latter, the rhombicity (|E/D|) increases.

Understanding mealtime behavioral problems in nursing home residents living with dementia: a group concept mapping approach

BackgroundPersons with dementia frequently experience mealtime behavioral problems that can result in reduced or lack of intake of food or fluids. Multiple underlying causes and expressions of mealtime behavioral problems complicate its interpretation and intervention, because problems originating from cognitive and functional decline and behavioral changes may interact. Healthcare professionals and family caregivers may encounter a variety of practical and moral dilemmas in dealing with these problems. We aimed at a better understanding of mealtime behavioral problems and related complex issues in nursing home residents with dementia from a daily practice perspective.MethodsWe used a mixed-method Group Concept Mapping approach in this study, and collected data online with a panel of 67 healthcare professionals, researchers and relatives from across The Netherlands. The participants contributed to either or all of the following phases: (1) the generation of ideas (brainstorm), (2) sorting, and (3) rating of the ideas. Subsequent phases included data analysis with Groupwisdom® software and interpretation of the results. Multidimensional scaling and hierarchical cluster analysis resulted in a concept map visualizing the coherence and importance of ideas. Bridging values were calculated, with low values indicating a distinct, clear concept.ResultsBrainstorming resulted in 285 statements representing 85 ideas. The concept map visualized three categories capturing ten clusters which describe the management of mealtime behavioral problems, causes of mealtime behavioral problems, and expressions and interpretations of mealtime behavioral problems. Concepts reflecting direct consequences, ethical components, and considerations to handle challenging situations overlapped on the concept map with the highest bridging values (range 0.58–0.87).ConclusionThis study added to unraveling the complex nature of mealtime behavioral problems, as perceived in practice. It is recommended to comprehensively analyze all components in the management of these problems, in particular being aware of ethical factors and align care for residents with dementia accordingly.