Structural Differences Research Articles

An analysis of Chinese paratactic sentences and their translation into Russian

Chinese paratactic sentences refl ect the main features of the Chinese language, fully demonstrating the spatial peculiarities of the following syntactic constructions: discreteness, chunkiness, and reversibility. Th e article discusses the translation of Chinese paratactic sentences into Russian, considering the structural diff erences between the two languages. Th e aim of this paper is to explore strategies and methods for translating Chinese paratactic sentences into Russian. Th e scientifi c novelty of this work lies in presenting fi ve specifi c lexico-grammatical methods for transferring semantic complexes in translation. It is essential to establish the structural hierarchy of the sentence in the target language, break a long paratactic sentence into several parts based on the semantic level, mark the time and type of predicative verbs following Russian syntax norms, and use various lexical means to avoid monotonous repetition. Th e research objectives include studying the grammatical and semantic features of Chinese paratactic sentences, identifying structural diff erences between Chinese paratactic sentences and Russian sentences from a structuralist perspective, describing translation transformations, and analyzing the underlying reasons infl uencing translation. In conclusion, translating Chinese paratactic sentences into Russian is a complex process that requires consideration of structural, semantic, and cognitive factors.

Research Progress on Intelligent Control Heading Machine

Background: With the development of society, the demand for underground works, such as to control road traffic and enhance the development of mineral resources, is increasing. Simple human and mechanical resources can no longer meet people's needs. Therefore, the development of the heading machine has advanced the construction of underground engineering and the development of mineral resources, leading to a significant change in tunneling efficiency. However, the increase in the scale of engineering facilities, changes in geological conditions, the reduction in human resources, and other factors, accompanied by the arrival of the era of big data, have prompted the heading machine to become more and more efficient, advanced, and intelligent. Objective: This article aimed to describe the classification, characteristics, and development of existing heading machines. It also takes into account the impact of changing engineering facilities, geological conditions, and limited human resources. The research and development direction of the equipment in intelligent perception, intelligent construction, and safety management is proposed. Methods: In this study, the working principle and related patents of the heading machine have been summarized. The structural characteristics, differences, and application characteristics of the heading machines in different fields are introduced, and the limitations of previous methods have been analyzed. Results: By analyzing and comparing the existing heading machines and summarizing their typical features, the main problems in the development of heading machines have been analyzed and the development trend of heading machines is predicted. Finally, the current research status and future development trends of heading machines and their patents are discussed. Conclusion: The heading machines are divided into two types based on the operation object: tunnel boring machine and ordinary heading machine. Among these, the full-face heading machine is the most widely used, and heading machines with different working faces are the most typical among ordinary heading machines. Currently, the application of intelligence in heading machines has gained widespread traction both domestically and internationally. The future development direction of heading machines must focus on intelligence, ensuring safety and efficiency, lightweight design, and environmental sustainability.

Deep Into the Domain Shift: Transfer Learning Through Dependence Regularization.

Classical domain adaptation methods acquire transferability by regularizing the overall distributional discrepancies between features in the source domain (labeled) and features in the target domain (unlabeled). They often do not differentiate whether the domain differences come from the marginals or the dependence structures. In many business and financial applications, the labeling function usually has different sensitivities to the changes in the marginals versus changes in the dependence structures. Measuring the overall distributional differences will not be discriminative enough in acquiring transferability. Without the needed structural resolution, the learned transfer is less optimal. This article proposes a new domain adaptation approach in which one can measure the differences in the internal dependence structure separately from those in the marginals. By optimizing the relative weights among them, the new regularization strategy greatly relaxes the rigidness of the existing approaches. It allows a learning machine to pay special attention to places where the differences matter the most. Experiments on three real-world datasets show that the improvements are quite notable and robust compared to various benchmark domain adaptation models.

Interventions for Remarried Families

Remarried families become widespread as a type of family that differs from first marriages both developmentally and structurally. Due to its developmental and structural differences, both the quality and continuity of this families emerge as areas that need to be studied. To offer effective interventions to remarried families, researchers and practitioners in the field of mental health should have access to knowledge on this subject. The literature on remarried families emphasizes biological, non-biological and co-parenting related issues. The expectations, knowledge and perceptions of both the married couple, the children and the surrounding social environment of the remarried family is another important issue. Communication, problem solving, and conflict management can be an important tool in strengthening relationships and preventing negative experiences for families established through remarriage. It is seen that the interventions that deal with the mentioned characteristics of families formed through remarriage are given in the form of group practices, adopting a preventive approach, supported by practices that point to skill acquisition in addition to providing information. Programs offered for families formed through remarriage share commonalities such as remarried family development, parenting skills, communication and problem-solving skills. The effectiveness of interventions for remarriage has been tested by various studies conducted since the late 1970s. While testing the effectiveness of such interventions, it is seen that different outcome variables such as family integrity, dyadic satisfaction, relationship quality, marital continuity, conflict level, stress level and behavioral disorders experienced by family members are considered. Research findings show that interventions for remarriage are effective.

Worlds as Transcendental and Political Fictions

By examining the idea found in the works of several contemporary philosophers that the multiplicity of worlds is no longer merely possible – as it was for Leibniz – but actually determines our experience of reality, the article proposes an understanding of worlds as transcendental structures that frame the ontological multiplicity. The article argues that such a proliferation of actual worlds implies that the concept of world should be seen today as a category that belongs to the order of fiction, making the world-building devices of literature relevant for understanding the contemporary experience of reality. The first part examines the conceptions of multiple worlds of Leibniz, Deleuze, and Badiou through the structural differences and similarities between possible and fictional worlds. While Deleuze actualises possible worlds, Badiou actualises fictional worlds. The second part explores worlds as political fictions, revisiting Kant’s conception of cosmopolitanism via Rancière’s definition of politics as a conflict of worlds. Rancière’s formulation of political dissensus in fictional and narrative terms sheds a new light on Kant’s description of cosmopolitanism as a perspective that presents history as a novelistic narrative.

Glucose Transporter and Sensor Mechanisms in Fungal Pathogens as Potential Drug Targets.

Fungal infections are emerging as major health challenges in recent years. The development of resistance against existing antifungal agents needs urgent attention and action. The limited classes of antifungal drugs available, their tendency to cause adverse effects, lack of effectiveness, etc., are the major limitations of current therapy. Thus, there is a pressing demand for new antifungal drug classes to cope with the present circumstances. Glucose is the key source of energy for all organisms, including fungi. Glucose plays a crucial role as a source of carbon and energy for processes like virulence, growth, invasion, biofilm formation, and resistance development. The glucose transport and sensing mechanisms are well developed in these organisms as an important strategy to sustain survival. Modulating these transport or sensor mechanisms may serve as an important strategy to inhibit fungal growth. Moreover, the structural difference between human and fungal glucose transporters makes them more appealing as drug targets. Limited literature is available for fungal glucose entry mechanisms. This review provides a comprehensive account of sugar transport mechanisms in common fungal pathogens.

A comprehensive model framework for between-individual differences in longitudinal data.

Across different fields of research, the similarities and differences between various longitudinal models are not always eminently clear due to differences in data structure, application area, and terminology. Here we propose a comprehensive model framework that will allow simple comparisons between longitudinal models, to ease their empirical application and interpretation. At the within-individual level, our model framework accounts for various attributes of longitudinal data, such as growth and decline, cyclical trends, and the dynamic interplay between variables over time. At the between-individual level, our framework contains continuous and categorical latent variables to account for between-individual differences. This framework encompasses several well-known longitudinal models, including multilevel regression models, growth curve models, growth mixture models, vector-autoregressive models, and multilevel vector-autoregressive models. The general model framework is specified and its key characteristics are illustrated using famous longitudinal models as concrete examples. Various longitudinal models are reviewed and it is shown that all these models can be united into our comprehensive model framework. Extensions to the model framework are discussed. Recommendations for selecting and specifying longitudinal models are made for empirical researchers who aim to account for between-individual differences. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Research Patents on Potato Harvesters

Background: Potato is a major food crop that is widely grown in more than 100 countries around the world. The production of this crop is a labor-intensive process, and its field production mainly includes seed arrangement, seedling cutting, ploughing, ridging, transplanting, field management, and harvesting (vine cutting, digging, cleaning up, and collection). With the improved models, the labor can be reduced to nearly half in the production process of potato. Objective: The objective of this study was to provide a comprehensive description of the classification, characteristics, and development of existing potato harvesters. Methods: In this study, a review on the principle of potato harvesting and related patents has been conducted. We have also introduced the structural characteristics and differences in applications of potato harvesters. Results: The existing potato harvesters have been analyzed and compared in this paper, and the typical characteristics have been summarized. The main problems existing in the development of potato harvesters are analyzed, the development trend of potato harvesters is forecasted, and the research status and future development trend of potato harvesters and patents are discussed. Conclusion: Based on our research, we have found that potato harvesters can be classified into three categories based on the harvesting process, clearing the vine, and harvesting machine. The combine harvester is capable of both clearing the vine and harvesting, and it has been reported to significantly improve the efficiency. However, for special terrain or other conditions not suitable for the combine harvester, the cutting and harvesting machine can perform both the steps. Currently, potato harvesters are not popular at home and abroad, and future development of potato harvesters must focus on them being intelligent, lightweight, and unmanned.

Scanpath Prediction on Information Visualisations.

We propose Unified Model of Saliency and Scanpaths (UMSS)- a model that learns to predict multi-duration saliency and scanpaths (i.e. sequences of eye fixations) on information visualisations. Although scanpaths provide rich information about the importance of different visualisation elements during the visual exploration process, prior work has been limited to predicting aggregated attention statistics, such as visual saliency. We present in-depth analyses of gaze behaviour for different information visualisation elements (e.g. Title, Label, Data) on the popular MASSVIS dataset. We show that while, overall, gaze patterns are surprisingly consistent across visualisations and viewers, there are also structural differences in gaze dynamics for different elements. Informed by our analyses, UMSS first predicts multi-duration element-level saliency maps, then probabilistically samples scanpaths from them. Extensive experiments on MASSVIS show that our method consistently outperforms state-of-the-art methods with respect to several, widely used scanpath and saliency evaluation metrics. Our method achieves a relative improvement in sequence score of 11.5% for scanpath prediction, and a relative improvement in Pearson correlation coefficient of up to 23.6% for saliency prediction. These results are auspicious and point towards richer user models and simulations of visual attention on visualisations without the need for any eye tracking equipment.

Soil Microbial Community Structure and Its Contribution to Carbon Cycling in the Yalu River Estuary Wetland

Wetland microbial communities play a vital role in ecosystem functioning, particularly in the intricate processes of carbon cycling. This study employed metagenomic sequencing to investigate the diversity, composition, structural differences, carbon cycling functional gene, and microbial species of soil microbial communities in five distinct soil types of the Yalu River estuary wetland, including shoal soil, bog soil, paddy soil, meadow soil, and brown forest soil. We further explored the influence of environmental factors on both the microbial community structure and carbon cycling functional genes. Our results revealed a bacterial-dominated soil microbial community, constituting about 97.6%. Archaea and fungi represented relatively minor fractions, at 1.9% and 0.4%, respectively. While no significant differences were observed in Chao1 indices between bacterial and fungal communities, the Shannon index revealed notable differences. Both Chao1 and Shannon indices exhibited significant variations within the archaeal communities. The dominant bacterial phyla were Proteobacteria, Actinobacteria, Acidobacteria, Bacteroidetes, and Nitrospirae. Thaumarchaeota, Crenarchaeota, and Euryarchaeota formed the major archaeal phyla, while Ascomycota, Mucoromycota, and Basidiomycota were the dominant fungal phyla. Non-metric multidimensional scaling (NMDS) analysis based on Bray-Curtis distance revealed notable differences in the bacterial, archaeal, and fungal community structures across the samples. Redundancy analysis (RDA) identified key environmental factors for the major phyla. Soil pH, soil organic carbon (SOC), electrical conductivity (EC), and total phosphorus (TP) were the main influencing factors for bacteria, while soil TP, EC, total sulfur (TS), and SOC were the primary drivers for archaeal phyla. Soil total nitrogen (TN) and EC were the main influencing factors for fungal phyla. Analysis of key carbon cycling pathway genes utilizing the Kyoto Encyclopedia of Genes and Genomes (KEGG) database and clustering heatmap revealed some variations in functional gene composition across different soil types. Mantel test indicated that pH, TN, and SOC were the primary environmental factors influencing microbial functional genes associated with soil carbon cycling. Stratified bar chart analysis further demonstrated that the major contributors to carbon cycling originated from corresponding dominatnt phyla and genera of Proteobacteria, Thaumarchaeota, Actinomycetota, Euryarchaeota, and Bacteroidota. The species and relative abundance of microorganisms associated with carbon cycling pathways varied among the samples. These findings provide a crucial reference for informing the conservation and sustainable management of wetland ecosystems in the Yalu River estuary.

Diversity and Isolation of Endophytic Fungi in Panax japonicus and Biotransformation Activity on Saponins.

This study reports the diversity and community structure differences of the endophytic fungi of Panax japonicus of different ages to obtain novel endophytic fungi with glycoside hydrolytic activity for rare saponins production. This study used the high-throughput sequencing method to analyze the diversity and community structure of endophytic fungi of P. japonicus. The endophytic fungi were processed by traditional isolation, culture, conservation, and ITS rDNA sequence analyses. Then the total saponins of P. japonicus were used as the substrate to evaluate the glycoside hydrolytic activity. The composition analysis of the community structure showed that the abundance, evenness, and diversity of endophytic fungi of nine-year-old P. japonicus were the best among all samples. A total of 210 endophytic fungi were isolated from P. japonicus samples and further annotated by sequencing the internal transcribed spacer. Then the biotransformation activity of obtained strains was further examined on total saponins of P. japonicus (TSPJ), with a strain identified as Fusarium equiseti (No.30) from 7-year-old P. japonicus showing significant glycoside hydrolytic activity on TSPJ, including ginsenoside Ro→zinglbroside R1, pseudoginsenoside RT1→pseudoginsenoside RP1, chikusetsusaponin IV→tarasaponin VI and chikusetsusaponin IVa →calenduloside E. These results reveal the diversity and community structure differences of the endophytic fungi of P. japonicus with different ages and establish a resource library of endophytic fungi of P. japonicus. More importantly, we identified a valuable endophytic fungus with glycoside hydrolytic activity and provided a promising convenient microbial transformation approach to produce minor deglycosylated ginsenosides.

The structural properties of multiple populations in globular clusters: The instructive case of NGC 3201

All multiple population (MP) formation models in globular clusters (GCs) predict that second population (SP) stars form more centrally concentrated than the first population (FP). As dynamical evolution proceeds, spatial differences are progressively erased and only dynamically young clusters are expected to retain a partial memory of the initial structural differences. In recent years, this picture has been supported by observations of the MP radial distributions of both Galactic and extragalactic GCs. However, more recent observations have suggested that in some systems, FPs might actually form more centrally segregated, with NGC 3201 being one significant example of such a possibility. Here, we present a detailed morphological and kinematic characterization of the MPs in NGC 3201, based on a combination of photometric and astrometric data. We show that the distribution of the SP is clearly bimodal. Specifically, the SP is significantly more centrally concentrated than the FP within ∼1.3 cluster’s half-mass radius. Beyond this point, the SP fraction increases again, likely due to asymmetries in the spatial distributions of the two populations. The central concentration of the SP observed in the central regions implies that it formed more centrally concentrated than the FP, even more so than what is observed in the present-day. This interpretation is supported by the key information provided by the MP kinematic properties. Indeed, we find that the FP is isotropic across all the sampled cluster extension, while the velocity distribution of the SP becomes radially anisotropic in the cluster’s outer regions, as expected for the dynamical evolution of SP stars formed more centrally concentrated than the FP. The combination of spatial and kinematic observations provide key insights into the dynamical properties of this cluster and lend further support to scenarios in which the SP forms more centrally concentrated than the FP.

Gd(HB-DO3A)]: Equilibrium, Dissociation Kinetic and Structural Differences in a Simple Homolog of [Gd(HP-DO3A)] (Prohance®).

[Gd(HP-DO3A)] (gadoteridol) as an active compound of ProHance® is a widely employed contrast agent in clinical MRI scans in the last 30 years. Recent concerns about the long-term retention of gadolinium-based contrast agents (GBCAs) led to a deeper investigation of the structural features underlying the integrity of the paramagnetic metal complex. Several human and nonclinical studies have noted marked differences among the macrocyclic GBCAs, with the least retention of Gd traces and most rapid elimination consistently being reported for [Gd(HP-DO3A)]. It was deemed of interest to assess how minor structural/electronic changes associated to the ligand structure may affect basic properties of the metal complex with several [Gd(HP-DO3A)] analogues synthesized and characterized in the last years. We recently reported that the closest homolog of [Gd(HP-DO3A)], i. e.: [Gd(HB-DO3A)], in which a (±)-2-hydroxy-1-propyl pendant arm is replaced by a (±)-2-hydroxy-1-butyl moiety, showed a significantly different retention behaviour in the model interaction with collagen, despite the apparently very minor structural difference. In this paper we report a comprehensive study of the structural, thermodynamic, kinetic and relaxation properties of [Gd(HB-DO3A)], compared to the parent [Gd(HP-DO3A)] and to other closely related macrocyclic GBCAs to assess whether very minor structural changes can modulate the physico-chemical properties of Gd3+ complexes.

Evaluating dynamics in affect structure with latent Markov factor analysis.

In intensive longitudinal research, researchers typically consider the structure of affect to be stable across individuals and contexts. Based on an assumed theoretical structure (e.g., one bipolar or two separate positive and negative affect constructs), researchers create affect scores from items (e.g., sum or factor scores) and use them to examine the dynamics therein. However, researchers usually ignore that the affect structure itself is dynamic and varies across individuals and contexts. Understanding these dynamics provides valuable insights into individuals' affective experiences. This study uses latent Markov factor analysis (LMFA) to study what affect structures underlie individuals' responses, how individuals transition between structures, and whether their individual transition patterns differ. Moreover, we explore whether the intensity of negative events and the personality trait neuroticism relate to momentary transitions and individual differences in transition patterns, respectively. Applying LMFA to experience sampling data (N = 153; age: mean = 22; SD = 7.1; range = 17-66), we identified two affect structures-one with three and one with four dimensions. The main difference was the presence of negative emotionality, and the affect dimensions became more inversely related when the affect structure included negative emotionality. Moreover, we identified three latent subgroups that differed in their transition patterns. Higher negative event intensity increased the probability of adopting an affect structure with negative emotionality. However, neuroticism was unrelated to subgroup-membership. Summarized, we propose a way to incorporate contextual and individual differences in affect structure, contributing to advancing the theoretical basis of affect dynamics research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

CHARACTERISTICS OF INTRAHEPATIC BILE DUCT IN HUMANS AND MAMMALS WITH DIFFERENT TYPES OF NUTRITION

Bile acids are the main component of the content of the bile ducts and ensure the rate of water entry into the bile ducts, and therefore the rate of primary bile formation. Regulation of the fl ow of bile acids into the ducts through the appropriate transport systems is responsible for the intensity of bile secretion. These regulators are mainly bile acids themselves, which can modulate the function of bile acid transporters by two main mechanisms. Acute changes in the functional activity of membrane bile acid transporters occur mainly through post-transcriptional mechanisms, while chronic adaptive responses are realized by regulating their transcription.The aim of the study was to investigate the structural organization of intrahepatic bile ducts in humans and mammals in relation to the type of diet.Material and methods. The studies were conducted on the livers of a pig, a fox, a sheep, which were selected from the same breed, aged 1 year, and humans aged 50-60 years. The walls of intrahepatic bile ducts were studied. Paraffi n blocks were made according to the generally accepted method. Hematoxylin- eosin staining was used. Microphotography was performed with a Micromed XS-5510 microscope using a DCM 900 microphotomount. Processing of the obtained photos was performed using the TSView program. Processing of the obtained morphometric parameters was carried out according to the generally accepted rules of variation statistics. Using Microsoft Excel 2019 software based on the Windows 10 cooperative system. The results are presented as the mean value of the trait (M) and standard deviation (SD) for each sample or as a percentage increase compared to the control. The nonparametric Mann- Whitney test was used to determine the statistical signifi cance of intergroup diff erences, which was considered statistically signifi cant at P<0.05.Results. In the study of histological specimens, we found that the mucous membrane of the intrahepatic bile ducts diff ers depending on the type of meal. The results showed that mammals with a carnivorous and herbivorous meal had a more complex structure of the inner lining of the bile ducts compared to omnivorous mammals and humans. Thus, the revealed structural diff erences in the bile ducts of humans and mammals, in our opinion, indicate an adaptive restructuring and functioning of epithelial cells, which were caused by species- specifi c features of the diet.

A First‐Principles Investigation of Monolayer MoS2 Doped with Mn and V as an Excellent NO2 Sensor with High Selectivity

This article conducts a comprehensive investigation into the adsorption properties of both pristine MoS2 monolayers and those doped with Mn and V, wherein these dopants replace Mo atoms. By the first‐principles calculations, the research reveals a noteworthy reduction in the adsorption energy of NO2 on Mn‐doped and V‐doped MoS2 monolayers compared to pure MoS2 monolayers. Specifically, at the most favorable adsorption site, the adsorption energy decreases from −5.83 to 5.908 eV for Mn‐doped MoS2 and from −5.58 to −6.17 eV for V‐doped MoS2. Furthermore, computations of the band structure, work function, and charge density difference highlight a significant degree of charge transfer and coexistence of electrons within these systems. Additionally, post‐adsorption of NO2 molecules, a distinct shift in the density of states (DOS) toward lower energy states is observed at the adsorption sites of both MoS2/Mn and MoS2/V monolayers, underscoring their exceptional sensitivity in detecting NO2. In summary, these results demonstrate the substantial potential of Mn‐doped and V‐doped MoS2 monolayers as highly sensitive materials for NO2 detection. Their lower adsorption energies and noteworthy shifts in DOS following NO2 adsorption enhance their capabilities as NO2 sensors.

Theragnosis using fluorescence: A review

Theragnosis is a novel concept in which diagnosis and treatment, along with the monitoring of the therapy given are done. In dentistry, this concept is applied by utilizing the inherent property of the tooth, which exhibits fluorescence. There is a difference in diseased and sound tooth structure along with any bacterial by-product exhibiting fluorescence. Thus, the present review aims to briefly describe the theragnostic approaches in dentistry. With advancements in the diagnostics aids for better therapy and monitoring simultaneously, a revolution can be made in the field of dentistry. Theragnosis, being a novel concept, gives a way for diagnosis, therapy, and monitoring simultaneously allowing for any alteration in the treatment regimen based on patient response. This review would help the clinicians to adopt one of the newer technologies available in the field of dentistry for diagnosis, treatment planning and also monitor the response.

Resting-state functional connectivity and structural differences between smokers and healthy non-smokers

Previous studies have shown an association between cigarette use and altered resting-state functional connectivity (rsFC) in many large-scale networks, sometimes complemented by measures of cortical atrophy. In this study, we aimed to further explore the neural differences between smokers and healthy non-smokers through the integration of functional and structural analyses. Imaging data of fifty-two smokers and forty-five non-smokers were analyzed through an independent component analysis for group differences in rsFC. Smokers showed lower rsFC within the dorsal attention network (DAN) in the left superior and middle frontal gyrus and left superior division of the lateral occipital cortex compared to non-smokers; moreover, cigarette use was found to be associated with reduced grey matter volume in the left superior and middle frontal gyrus and right orbitofrontal cortex, partly overlapping with functional findings. Within smokers, daily cigarette consumption was positively associated with increased rsFC within the cerebellar network and the default mode network and decreased rsFC within the visual network and the salience network, while carbon monoxide level showed a positive association with increased rsFC within the sensorimotor network. Our results suggest that smoking negatively impacts rsFC within the DAN and that changes within this network might serve as a circuit-based biomarker for structural deficits.

Comparative analysis of the clinical features of nonvalvular atrial fibrillation among Tibetan, Han, and Hui patients in Qinghai Province, China

Comparative analysis of the clinical features of nonvalvular atrial fibrillation among Tibetan, Han, and Hui patients in Qinghai Province, China

A comprehensive hierarchical comparison of structural connectomes in Major Depressive Disorder cases v. controls in two large population samples.

The brain can be represented as a network, with nodes as brain regions and edges as region-to-region connections. Nodes with the most connections (hubs) are central to efficient brain function. Current findings on structural differences in Major Depressive Disorder (MDD) identified using network approaches remain inconsistent, potentially due to small sample sizes. It is still uncertain at what level of the connectome hierarchy differences may exist, and whether they are concentrated in hubs, disrupting fundamental brain connectivity. We utilized two large cohorts, UK Biobank (UKB, N = 5104) and Generation Scotland (GS, N = 725), to investigate MDD case-control differences in brain network properties. Network analysis was done across four hierarchical levels: (1) global, (2) tier (nodes grouped into four tiers based on degree) and rich club (between-hub connections), (3) nodal, and (4) connection. In UKB, reductions in network efficiency were observed in MDD cases globally (d = -0.076, pFDR = 0.033), across all tiers (d = -0.069 to -0.079, pFDR = 0.020), and in hubs (d = -0.080 to -0.113, pFDR = 0.013-0.035). No differences in rich club organization and region-to-region connections were identified. The effect sizes and direction for these associations were generally consistent in GS, albeit not significant in our lower-N replication sample. Our results suggest that the brain's fundamental rich club structure is similar in MDD cases and controls, but subtle topological differences exist across the brain. Consistent with recent large-scale neuroimaging findings, our findings offer a connectomic perspective on a similar scale and support the idea that minimal differences exist between MDD cases and controls.