Relational Complexity Research Articles

Synthesis and evaluation of new mono- and binuclear salen complexes for the Cα-alkylation reaction of amino acid substrates as chiral phase transfer catalysts

In this study, we present a series of Zn(II) mono- and Cu(II) binuclear salen complexes synthesized and assessed for their effectiveness in the Cα-alkylation reaction. Through systematic experimentation, it was observed that the introduction of a methoxy group at position 3 of the phenyl group in the salicylidene ligand led to a notable enhancement in asymmetric yield, while an allyl group reduced yield. Computational DFT calculations supported the involvement of the binuclear complex in the transition state of the reaction, elucidating the underlying mechanisms governing the observed catalytic behavior. A newly synthesized binuclear complex exhibited significantly higher catalytic activity compared to its mononuclear counterpart which could potentially be explained by increased intramolecular rigidity. This comprehensive investigation not only advances our understanding of structure-activity relationships in chiral salen complexes but also provides valuable insights for the rational design and optimization of catalysts for the asymmetric Cα-alkylation reaction.

Immobilization of Membrane-Associated Protein Complexes on SERS-Active Nanomaterials for Structural and Dynamic Characterization.

Exploring the structural basis of membrane proteins is significant for a deeper understanding of protein functions. In situ analysis of membrane proteins and their dynamics, however, still challenges conventional techniques. Here we report the first attempt to immobilize membrane protein complexes on surface-enhanced Raman scattering (SERS)-active supports, titanium dioxide-coated silver (Ag@TiO2) nanoparticles. Biocompatible immobilization of microsomal monooxygenase complexes is achieved through lipid fission and fusion. SERS activity of the Ag@TiO2 nanoparticles enables in situ monitoring of protein-protein electron transfer and enzyme catalysis in real time. Through SERS fingerprints of the monooxygenase redox centers, the correlations between these protein-ligand interactions and reactive oxygen species generation are revealed, providing novel insights into the molecular mechanisms underlying monooxygenase-mediated apoptotic regulation. This study offers a novel strategy to explore structure-function relationships of membrane protein complexes and has the potential to advance the development of novel reactive oxygen species-inducing drugs for cancer therapy.

Structural dynamics of the intrinsically disordered linker region of cardiac troponin T.

Troponin plays a central role in regulating heart contraction, and mutations in troponin can cause human cardiomyopathies. There are several functionally-significant regions of troponin that have not been structurally resolved, including the troponin T linker region that contains multiple cardiomyopathy mutations. In these unresolved regions, it is not possible to understand how changes in sequence affect function. We used computational and experimental techniques to demonstrate that this linker is dynamic and intrinsically disordered both in isolation and in the fully regulated thin filament. Moreover, we show how a cardiomyopathy mutation in this region affects function via allosteric disruption of intermolecular interactions. Our results highlight the need to consider how key mutations affect troponin disorder rather than the structure-function relationship.

Thalamus and its functional connections with cortical regions contribute to complexity-dependent cognitive reasoning

The thalamus is crucial for supporting various cognitive behaviors due to its extensive connectivity with multiple cortical regions. However, the role of the thalamus and its functional connections with cortical regions in cognitive reasoning remains unclear, since previous research has mainly focused on cortical regions when studying the neural mechanisms underlying cognitive reasoning. To fill this knowledge gap, we utilized 7 T functional magnetic resonance imaging (fMRI) to study the activation patterns of the thalamus and its functional connections with cortical regions during cognitive reasoning task, while also examining how the complexity of reasoning tasks affects thalamic activation and functional connections with cortical regions. Our findings showed that cognitive reasoning processes are related to increased activation of the thalamus and its functional connections with a specific set of cortical regions, consisting of dorsolateral prefrontal cortex, inferior frontal sulcus, intraparietal sulcus, anterior cingulate cortex/presupplementary motor area, precuneus, and ventral medial prefrontal cortex. Moreover, the increase in relational complexity of the reasoning tasks led to a corresponding increase in thalamic activation and functional connectivity with cortical regions. Given the complex thalamus structure, including multiple distinct nuclei exhibiting specific functional connections with particular cortical regions, we used an atlas defined thalamic subdivisions based on its structural connectivity with different cortical regions. Our findings indicated that these different thalamic subregions not only exhibited distinct connectivity patterns with specific cortical regions during performance of cognitive reasoning, but also showed distinct connectivity patterns varied with task complexity. Overall, our study presents evidence of the thalamus’s role and its connections with cortical regions in supporting increasingly complex cognitive reasoning behavior, illuminating its contribution to higher-order cognitive functions, such as reasoning.

A taxonomy of artists’ postures to grasp the plurality of cultural production practices: Putting an end to the cicada and the ant

The rooted dichotomy between art and economy tends to simplify our understanding of the conditions under which makers of cultural products operate. The contingencies of the last decades, leading to a greater plurality of artists’ practices, urge us to create new conceptual tools to seize the effective cultural production structures. This paper aims to open this dichotomy - anchored in institutional sociology, creative economy, arts management and cultural entrepreneurship - and to reveal the relational complexity of cultural production. Building on a meta-study of a body of qualitative research published between 2012 and 2022 based on semi-directed interviews, focus groups and case studies about artists’ effective practices in music, performing arts, visual and mediatic arts from underground scenes or marginal communities, we identify 20 postures adopted by artists. We place these postures on two axes reflecting the intensity of economic and artistic logics. This taxonomy explains more accurately today's conditions of cultural production. It allows us to better understand: the multiplicity of artists’ and works’ trajectories, as well as creation networks; the coexistence and co-dependency of postures within the same practice; and the diversity of artists’ practices beyond a disciplinary logic and a linear conception of artistic career.

Phylogenetic and Comparative Analysis of Cryptochironomus, Demicryptochironomus and Harnischia Inferred from Mitogenomes (Diptera: Chironomidae).

(1) Background: Mitochondrial genomes have been extensively employed as a crucial marker in numerous dipteran families for understanding phylogenetics and systematics relations, thereby playing a pivotal role in molecular biology studies. The phylogenetic relationship of the Harnischia generic complex remains contentious due to the paucity of taxonomic and molecular data. Specifically, the evolutionary relationships among Cryptochironomus, Demicryptochironomus, and Harnischia are still unclear. (2) Methods: In this study, Polypedilum and Endochironomus were used as outgroups to analyze phylogenetic relationships among Cryptochironomus, Demicryptochironomus, and Harnischia, mitogenomes of four Cryptochironomus, two Demicryptochironomus, two Harnischia, and two Cladopelma were newly sequenced. Subsequently, we conducted a thorough analysis of the nucleotide composition, sequence length, and evolutionary rate. (3) Results: All mitogenomes exhibited structural conservation, with all genes consistently arranged in the identical order as that of the ancestral mitogenome. Nucleotide composition varied significantly among different genes, and the control region displayed the highest A + T content. All protein-coding genes undergo rigorous purification selection, with the ATP8 gene exhibiting the most rapid evolutionary rate among them. Utilizing Bayesian Inference (BI) and Maximum Likelihood (ML) methods across various databases, we reconstructed the phylogenetic relationships among the genera within the Harnischia generic complex, drawing insights from an analysis of 14 mitochondrial genomes. (4) Conclusions: Our results showed that the monophyly of the genera Harnischia was well supported in all topologies; Cryptochironomus is sister to Demicryptochironomus.

Shining New Light on Biological Systems: Luminescent Transition Metal Complexes for Bioimaging and Biosensing Applications.

Luminescence imaging is a powerful and versatile technique for investigating cell physiology and pathology in living systems, making significant contributions to life science research and clinical diagnosis. In recent years, luminescent transition metal complexes have gained significant attention for diagnostic and therapeutic applications due to their unique photophysical and photochemical properties. In this Review, we provide a comprehensive overview of the recent development of luminescent transition metal complexes for bioimaging and biosensing applications, with a focus on transition metal centers with a d6, d8, and d10 electronic configuration. We elucidate the structure-property relationships of luminescent transition metal complexes, exploring how their structural characteristics can be manipulated to control their biological behavior such as cellular uptake, localization, biocompatibility, pharmacokinetics, and biodistribution. Furthermore, we introduce the various design strategies that leverage the interesting photophysical properties of luminescent transition metal complexes for a wide variety of biological applications, including autofluorescence-free imaging, multimodal imaging, organelle imaging, biological sensing, microenvironment monitoring, bioorthogonal labeling, bacterial imaging, and cell viability assessment. Finally, we provide insights into the challenges and perspectives of luminescent transition metal complexes for bioimaging and biosensing applications, as well as their use in disease diagnosis and treatment evaluation.

Can a relational cross-scalar approach to management improve environmental disaster responses? A case study of an unprecedented flood in New South Wales, Australia

ABSTRACT Human societies face planetary crises of climate change, biodiversity loss and pollution. Conventional command-and-control approaches to manage these existential challenges have failed due to limited comprehension of relationships in social-ecological systems. To address this problem, we study the complex case of the disaster response to unprecedented floods in the Northern Rivers Region, New South Wales, Australia, in 2022. We apply a novel relational-systems model that identifies management structures, processes, functions and contents interacting at and across scales. The model helps identify the root causes in the inadequate disaster response that ensued in the Northern Rivers Region flooding. The root causes are a lack of systems-thinking competence, poor collaborative capacity, vulnerabilities in environmental management and deficient governance systems. The relational complexity concepts of self-organisation and socio-cultural organisation may further help explain variation in response to disasters in different socio-ecological contexts. Such understanding can inform individual and collective environmental action.

The impact of cross-organizational private relationships on cooperative behavior in construction projects: evidence from Chinese construction industry

PurposeAntagonistic relationship among the participants of construction projects has significantly improved, and further improving cooperation quality are committed. In this context, expanding new ways to improve cooperation quality has become a new topic in cooperation research. This study is dedicated to exploring the mechanism of cross-organizational private relationships on cooperative behaviors, which is rarely addressed in current research on construction projects, and provides reference for the rational use of cross-organizational private relationships.Design/methodology/approachBased on analysis of studies related to relational governance theory, institutional theory and project complexity, this study constructs the theoretical model. This study uses survey data from 395 construction professionals in China to test the theoretical model by using structural equation modeling (SEM) and explains the direct and indirect mechanism of cross-organizational private relationships on cooperation behavior.Findings(1) Cross-organizational private relationships have direct and indirect facilitating effect on cooperation behavior. (2) Relational norms as mediating variables contribute to the expansion of the positive effects of cross-organizational private relationships on cooperation behavior. (3) Institutional environment and project complexity have the moderating effect between cross-organizational private relationships and cooperation behavior.Originality/valueThis research investigates the impact mechanisms and boundary conditions of cross-organizational private relationships at the micro level on the cooperative behaviors in construction projects and conducts empirical research. It is a topic that has not been adequately researched in the field of project management. The research results expand the scope of research on relational governance and deepen the research on the antecedents of relational norms. It provides the base for the proposed contingency theory of relational governance.

Elucidating structure-property relationships of guar gum biomolecules: insights from -polynomial and QSPR modeling.

This study investigates the quantitative structure-property relationship (QSPR) modeling of guar gum biomolecules, focusing on their structural parameters. Guar gum, a polysaccharide with diverse industrial applications, exhibits various properties such as viscosity, solubility, and emulsifying ability, which are influenced by its molecular structure. In this research, -polynomial and associated topological indices are employed as structural descriptors to represent the molecular structure of guar gum. The -polynomial and associated topological indices capture important structural features, including size, shape, branching, and connectivity. By correlating these descriptors with experimental data on guar gum properties, predictive models are developed using regression analysis techniques. The analysis revealed a strong correlation between the boiling point and molecular weight and all the considered topological descriptors. The resulting models offer insights into the relationship between guar gum structure and its properties, facilitating the optimization of guar gum production and application in various industries. This study demonstrates the utility of -polynomial and QSPR modeling in elucidating structure-property relationships of complex biomolecules like guar gum, contributing to the advancement of biomaterial science and industrial applications.

The galactomannan-EGCG physical complex: Effect of branching degree and molecular weight on structural and physiological properties

Polysaccharides and polyphenols are bioactive components that co-exist in many plant foods. Their binary interaction in terms of the structure-function relationships, however, has not been well clarified. This study elucidated the correlation between the structural and physiological properties of galactomannan (GM) -catechin monomer complexes and GM with different branching or molecular weight (Mw). Results indicated that locus bean gum with lower branching degree (Gal/Man is 0.259) bound more readily to EGCG with adsorption rate of 19.42 %. EGCG and ECG containing galloyl groups were more inclined to form hydrogen bonds with GMs, significantly improving the adsorption by GMs. The introduction of EGCG could enhance the antioxidant activity and starch digestion inhibition of GM, which positively correlated with the adsorption capacity of EGCG. The guar gum (GG) with higher Mw (7384.3 kDa) could transport 71.51 % EGCG into the colon, while the retention rate of EGCG reaching the colon alone was only 46.33 %. Conversely, GM-EGCG complex with lower Mw (6.9 kDa) could be readily utilized by gut microbiota, and increased production of short-chain fatty acids (SCFAs). This study elucidated the structure-properties relationship of GM-EGCG complexes, and provide a new idea for the development and precision nutrition of polysaccharides-polyphenol complexes fortified functional foods.

Unifying aspect-based sentiment analysis BERT and multi-layered graph convolutional networks for comprehensive sentiment dissection

Aspect-Based Sentiment Analysis (ABSA) represents a fine-grained approach to sentiment analysis, aiming to pinpoint and evaluate sentiments associated with specific aspects within a text. ABSA encompasses a set of sub-tasks that together facilitate a detailed understanding of the multifaceted sentiment expressions. These tasks include aspect and opinion terms extraction (ATE and OTE), classification of sentiment at the aspect level (ALSC), the coupling of aspect and opinion terms extraction (AOE and AOPE), and the challenging integration of these elements into sentiment triplets (ASTE). Our research introduces a comprehensive framework capable of addressing the entire gamut of ABSA sub-tasks. This framework leverages the contextual strengths of BERT for nuanced language comprehension and employs a biaffine attention mechanism for the precise delineation of word relationships. To address the relational complexity inherent in ABSA, we incorporate a Multi-Layered Enhanced Graph Convolutional Network (MLEGCN) that utilizes advanced linguistic features to refine the model’s interpretive capabilities. We also introduce a systematic refinement approach within MLEGCN to enhance word-pair representations, which leverages the implicit outcomes of aspect and opinion extractions to ascertain the compatibility of word pairs. We conduct extensive experiments on benchmark datasets, where our model significantly outperforms existing approaches. Our contributions establish a new paradigm for sentiment analysis, offering a robust tool for the nuanced extraction of sentiment information across diverse text corpora. This work is anticipated to have significant implications for the advancement of sentiment analysis technology, providing deeper insights into consumer preferences and opinions for a wide range of applications.

How social network analysis informs translation studies: A systematic review

AbstractSince the early 2000s when the possibility of a network approach in translation studies (TS) was noted, social network analysis (SNA) has been applied to explore the relational complexity of various translational agents in practical, industrial, academic, and educational settings. Through a systematic review, this paper shows that SNA's major contributions to TS have been mainly in areas of translation history, translation economy, translation scientometrics, translation education, and online collaborative translation. It also identifies how SNA has adapted to and complemented other methodological and theoretical approaches in TS under two paradigms, i.e., explanatory structuralist and exploratory complex paradigms. In light of the review, strengths and weakness of these paradigms are discussed, and suggestions are provided for further research on their confluence, which is characterized by a less reductionist analytic model with appropriate explanatory power in a closer symbiosis between complexity theory and SNA.

Differential requirement for RecFOR pathway components in Thermus thermophilus.

Recombinational repair is an important mechanism that allows DNA replication to overcome damaged templates, so the DNA is duplicated timely and correctly. The RecFOR pathway is one of the common ways to load RecA, while the RuvABC complex operates in the resolution of DNA intermediates. We have generated deletions of recO, recR and ruvB genes in Thermus thermophilus, while a recF null mutant could not be obtained. The recO deletion was in all cases accompanied by spontaneous loss of function mutations in addA or addB genes, which encode a helicase-exonuclease also key for recombination. The mutants were moderately affected in viability and chromosome segregation. When we generated these mutations in a Δppol/addAB strain, we observed that the transformation efficiency was maintained at the typical level of Δppol/addAB, which is 100-fold higher than that of the wild type. Most mutants showed increased filamentation phenotypes, especially ruvB, which also had DNA repair defects. These results suggest that in T. thermophilus (i) the components of the RecFOR pathway have differential roles, (ii) there is an epistatic relationship of the AddAB complex over the RecFOR pathway and (iii) that neither of the two pathways or their combination is strictly required for viability although they are necessary for normal DNA repair and chromosome segregation.

Mutual annotation-based prediction of protein domain functions with Domain2GO.

Identifying unknown functional properties of proteins is essential for understanding their roles in both health and disease states. The domain composition of a protein can reveal critical information in this context, as domains are structural and functional units that dictate how the protein should act at the molecular level. The expensive and time-consuming nature of wet-lab experimental approaches prompted researchers to develop computational strategies for predicting the functions of proteins. In this study, we proposed a new method called Domain2GO that infers associations between protein domains and function-defining gene ontology (GO) terms, thus redefining the problem as domain function prediction. Domain2GO uses documented protein-level GO annotations together with proteins' domain annotations. Co-annotation patterns of domains and GO terms in the same proteins are examined using statistical resampling to obtain reliable associations. As a use-case study, we evaluated the biological relevance of examples selected from the Domain2GO-generated domain-GO term mappings via literature review. Then, we applied Domain2GO to predict unknown protein functions by propagating domain-associated GO terms to proteins annotated with these domains. For function prediction performance evaluation and comparison against other methods, we employed Critical Assessment of Function Annotation 3 (CAFA3) challenge datasets. The results demonstrated the high potential of Domain2GO, particularly for predicting molecular function and biological process terms, along with advantages such as producing interpretable results and having an exceptionally low computational cost. The approach presented here can be extended to other ontologies and biological entities to investigate unknown relationships in complex and large-scale biological data. The source code, datasets, results, and user instructions for Domain2GO are available at https://github.com/HUBioDataLab/Domain2GO. Additionally, we offer a user-friendly online tool at https://huggingface.co/spaces/HUBioDataLab/Domain2GO, which simplifies the prediction of functions of previously unannotated proteins solely using amino acid sequences.

Like Water: Feeling and Negotiating Relational Complexity in School-Based Ethnographic Childhood Research in China Through the Lens of Emotional Reflexivity

Ethnography is often considered as a suitable methodological approach to explore childhoods, nevertheless, there is limited reflection on ethics in the field in the Global South educational settings, such as China. Previous China-based fieldwork studies suggest complex field relationships as a major ethical challenge. Although the issue is especially prominent in research that contests “normative” Chinese childhoods, it hasn’t been sufficiently discussed due to a culture of silence surrounding researchers’ emotions and positionality. This paper uses emotional reflexivity as a lens to revisit two Chinese female researchers’ experiences of fieldwork, respectively, with left-behind children and disabled children in Chinese primary schools. The analysis examines how we identified ourselves and negotiated complex relationships with school members and unpacks experiences of “sameness” and “otherness” and the vulnerability and creditability impacted by our fluid identities. The paper adds insights into ethical considerations of school-based ethnographic research with diverse children in the Global South.

Phylogenomic analyses and reclassification of the Mesorhizobium complex: proposal for 9 novel genera and reclassification of 15 species.

The genus Mesorhizobium is shown by phylogenomics to be paraphyletic and forms part of a complex that includes the genera Aminobacter, Aquamicrobium, Pseudaminobacter and Tianweitania. The relationships for type strains belong to these genera need to be carefully re-evaluated. The relationships of Mesorhizobium complex are evaluated based on phylogenomic analyses and overall genome relatedness indices (OGRIs) of 61 type strains. According to the maximum likelihood phylogenetic tree based on concatenated sequences of 539 core proteins and the tree constructed using the bac120 bacterial marker set from Genome Taxonomy Database, 65 type strains were grouped into 9 clusters. Moreover, 10 subclusters were identified based on the OGRIs including average nucleotide identity (ANI), average amino acid identity (AAI) and core-proteome average amino acid identity (cAAI), with AAI and cAAI showing a clear intra- and inter-(sub)cluster gaps of 77.40-80.91% and 83.98-86.16%, respectively. Combined with the phylogenetic trees and OGRIs, the type strains were reclassified into 15 genera. This list includes five defined genera Mesorhizobium, Aquamicrobium, Pseudaminobacter, Aminobacterand Tianweitania, among which 40/41 Mesorhizobium species and one Aminobacter species are canonical legume microsymbionts. The other nine (sub)clusters are classified as novel genera. Cluster III, comprising symbiotic M. alhagi and M. camelthorni, is classified as Allomesorhizobium gen. nov. Cluster VI harbored a single symbiotic species M. albiziae and is classified as Neomesorhizobium gen. nov. The remaining seven non-symbiotic members were proposed as: Neoaquamicrobium gen. nov., Manganibacter gen. nov., Ollibium gen. nov., Terribium gen. nov., Kumtagia gen. nov., Borborobacter gen. nov., Aerobium gen. nov.. Furthermore, the genus Corticibacterium is restored and two species in Subcluster IX-1 are reclassified as the member of this genus. The Mesorhizobium complex are classified into 15 genera based on phylogenomic analyses and OGRIs of 65 type strains. This study resolved previously non-monophyletic genera in the Mesorhizobium complex.

Factors for innovation ecosystem frameworks: Comprehensive organizational aspects for evolution

This article aims to identify the organizational factors in innovation ecosystem frameworks beyond scientific, technological, and economic aspects, including cultural, social, and organizational ones that have impacted the relational complexity of ecosystem development. Diverse regions worldwide seek to establish and evolve their innovation ecosystem frameworks rather than following others' references. The initial step in addressing the models and guidelines is to understand the inherent factors and identify other relevant ones capable of helping regions to achieve a higher maturity level. This article reviews the scientific literature and analyzes developments through a qualitative state of knowledge under certain organizational framework factors in ecosystems. The essential or inherent factors are separated into organizational actors, innovation and entrepreneurship chains, public and private funding, and appreciation of relevant organizational behavioral factors seeking effective relations, including collaboration and positive relationships, alliances and governance, human and social capital, and culture, which can be greatly influenced by regional societal behavioral habits. The development process demands constant learning and understanding of factors impacting the ecosystem's dynamics and performance. Trans-factorial framework models are necessary for future research to facilitate ecosystem evolution, incorporating methods, and deep technologies for a complex institutional network that considers behavior and social aspects.

Usability test and implications of an activity allocation mapping in complex organizations: perceptions about a software by emergency room agents

PurposeProperly allocating an organization's activities within a building is vital to reducing the relational complexity arising from process–environment interactions. Multiple relationships are mapped, and certain interferences are only identified after these have been processed. The method/software employed for this task is Mapping Activity Environment Allocation (MAEA). However, data input and interpretation of results depend on the usability conditions of the organization's agents. This paper presents MAEA's usability test results.Design/methodology/approachTest sessions and interviews were carried out with seven agents registered at a University Hospital. Participants were instructed to think aloud during its use, and immediately afterward, responded to semi-structured interviews. Test sessions were audio recorded and screen captured.FindingsParticipants found the software easy to use and pointed out valuable implications for professional and academic use. In addition to relationship, priority and parallelism data, customized visualizations were created, including organizational charts, flowcharts and activity flow routes on the floor plan.Practical implicationsMAEA's simplicity allows non-designers to conduct evidence-based assessments and decisions. It allows designers to test their proposals during the programming and outline proposal stages.Social implicationsA more detailed definition of design requirements from the beginning increases the conditions to successfully achieve project goals.Originality/valueThe ability to map the allocation of activity-spaces in the pre-design phase of building architecture allows for early identification of interactions, aiding in the development of more robust project requirements during programming.

Land banking, land price and Ghana’s informal land markets: A relational complexity approach

Land banking practices have received little attention on how such practices shape informal land markets in developing countries. Drawing on a relational complexity framework, this study explores the land banking experience in Ghana’s informal land markets. This research conducted semi-structured interviews with over thirty participants from four communities within the Ghanaian informal land market. The analysis revealed that developers are banking large tracts of land as capital investments through land dispositions. The absence of development on these banked lands has created a situation where developers are gradually influencing land prices. The analysis also shows that developers have created complex ongoing relationships with customary land managers. This coalition relationship has shaped land prices through the displacement of state-mediated statutory powers for land exchanges. The study recommends revisiting of stakeholder discussions on the enforcement and monitoring of the processes required under the Ghanaian Lands Commission guidelines for large-scale land transactions.