Network Analysis Research Articles

Resilience, job satisfaction, occupational stress, and occupational accidents among healthcare professionals: A Bayesian network analysis.

Occupational accidents remain a critical challenge for healthcare professionals. In the present study, using the Bayesian network (BN) approach association among resilience, job satisfaction, stress, and occupational accidents among healthcare professionals is examined. Data was gathered using several valid questionnaires. The BN approach was utilized to analyze the r5/31/2024ionships between the variables of the current study. The performance of BN analysis was evaluated using related indexes. In total, 300 healthcare professionals participated in this study. Results showed that almost 23% of healthcare professionals had experienced occupational accidents. Results of the sensitivity analysis demonstrated that job satisfaction had the most significant influence on occupational accidents in healthcare settings. The belief updating analysis results showed that by increasing job satisfaction and decreasing stress of healthcare professionals the occurrence of occupational accidents decreased 9.8% and 6.4%, respectively. Moreover, decreasing the stress of healthcare professionals can lead to an increase in the level of job satisfaction. Evaluation indexes showed that the performance of the developed BN was acceptable (error rate: 16.09). The Findings reveal that both job satisfaction and stress had a significant influence on occupational accidents in healthcare professionals. Moreover, by influencing job satisfaction and stress, resilience can indirectly affect occupational accidents.

The Conformational Space of the SARS-CoV-2 Main Protease Active Site Loops Is Determined by Ligand Binding and Interprotomer Allostery.

The main protease (Mpro) of SARS-CoV-2 is essential for viral replication and is, therefore, an important drug target. Here, we investigate two flexible loops in Mpro that play a role in catalysis. Using all-atom molecular dynamics simulations, we analyze the structural ensemble of Mpro in an apo state and substrate-bound state. We find that the flexible loops can adopt open, intermediate (partly open), and closed conformations in solution, which differs from the partially closed state observed in crystal structures of Mpro. When the loops are in closed or intermediate states, the catalytic residues are more likely to be in close proximity, which is crucial for catalysis. Additionally, we find that substrate binding to one protomer of the homodimer increases the frequency of intermediate states in the bound protomer while also affecting the structural propensity of the apo protomer's flexible loops. Using dynamic network analysis, we identify multiple allosteric pathways connecting the two active sites of the homodimer. Common to these pathways is an allosteric hotspot involving the N-terminus, a critical region that comprises part of the binding pocket. Taken together, the results of our simulation study provide detailed insight into the relationships between the flexible loops and substrate binding in a prime drug target for COVID-19.

A Holistic Network Analysis of the Money Laundering Threat Landscape: Assessing Criminal Typologies, Resilience and Implications for Disruption

Abstract Objective This article visualises money laundering, a crime spanning hundreds of different actors, methods and value instruments, as a network. Possible combinations of money laundering actions and schemes are analysed through a holistic visualisation to draw policy-relevant insights into their prevention. Methods A prior scoping review of money laundering typologies identified 793 activities that a money launderer can take to obfuscate illicit funds. These actions form the basis of a directed network graph showcasing all possible combinations of money laundering schemes. Three network-based analyses are then conducted: (1) centrality analysis, to determine the most ‘important’ money laundering actions as priorities for prevention, (2) resilience analysis to simulate iterative interventions against different money laundering actions to assess their impact on the wider network and (3) subgroup analysis to identify groups of commonly undertaken schemes (i.e. “typologies”). Results Money laundering is found to be a highly resilient process crime, with specific interventions often unable to prevent schemes from displacing to alternative activities to launder their funds. However, benefits of tactically displacing criminals to more easily detectable schemes are discussed. The formulation of money laundering typologies through more empirically robust processes is also motivated, in place of compartmentalised reports that remain the current standard practice. Conclusions Network analysis is motivated as an effective way of visualising complex process crimes with vast criminal opportunities such as money laundering, allowing policy-relevant insights to be drawn in terms of resource-allocation, strategy and prioritisation. Theoretical and policy implications of the current study are discussed in the context of crime scientific theories.

Revealing the potential causality of suicidal ideation and psychopathic symptoms among survivors 10 years after the Wenchuan earthquake using network analysis.

Little is known about the interactions and causal inference between psychopathic symptoms and suicidal ideation (SI) among earthquake survivors. Using a 10-year large cohort of Chinese adolescents exposed to the Wenchuan earthquake, this study aimed to structure networks of suicidal ideation and some specific symptoms of posttraumatic symptoms and depression among survivors of the Wenchuan earthquake to clarify the interactions and causality between these symptoms. A total of 684 survivors who completed surveys at 6 months and 10 years postearthquake and had one or above psychopathic symptoms were included in the analyses. Sociodemographic, posttraumatic stress symptoms, depressive symptoms, and suicidal ideation were measured at 6 months and/or 10 years postearthquake. Network analyses were performed based on R Version 4.1.3. The Gaussian graphical model network revealed that "depressed mood" had the highest expected influence value. In addition, the directed acyclic graph network revealed that anhedonia could affect "depressed mood," which further leads to "suicidal ideation." The pathway of "anhedonia → depressed mood → suicidal ideation" was a crucial psychopathic mechanism of suicidal ideation. It informs that intervening in anhedonia and depressed mood among earthquake-exposed survivors is necessary to potentially decrease the risk of future suicidal ideation. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Serum Metabolome Signature Response to Different Types of Resistance Training.

Pneumatic resistance training (PRT) facilitates a longer time under tension that might lead to greater changes in body composition when compared to traditional resistance training (TRT), possibly enhancing serum metabolite concentrations indicative of healthy metabolic function. To assess the impact of PRT and TRT on muscular strength, body composition, and serum metabolome, 69 men (age: 31.8±7.2 years, height: 179.7±5.4 cm, weight: 81.1±9.9 kg) were randomized into two 10-week intervention groups (PRT:n=24 and TRT:n=24) and one control group (CON:n=21). Serum metabolite concentrations were assessed before and after the training intervention by high-throughput nuclear magnetic resonance. Fat mass and lean mass were obtained by bioimpedance analysis. The training intervention resulted in an increase in lean mass for both PRT (1.85±2.69%; p=0.003) and TRT (2.72±4.53%; p=0.004), while only PRT reduced statistically significantly in body fat percentage (PRT: -5.08±10.76%; p=0.019). Only in PRT and TRT significant increases in small high-density lipoproteins (S-HDL-L) and small HDL particles (S-HDL-P) were observed. When controlling for fat and lean mass, the effects on S-HDL-L/S-HDL-P diminished. Network analysis may suggest that PRT and TRT result in an increase in network connectivity and robustness. It appears that the observed improvements are associated with changes in body composition.

Leveraging network analysis to improve navigability of design standards

The utility of building design standards is a growing concern amongst construction professionals. Design standards continue to swell with updates, which makes ensuring all requirements are satisfied increasingly complex for users. Few tools exist for authors of standards to improve navigation for users. This study investigates the use of network analysis to understand the relationship between the organization of a standard and navigational complexity. A case study is presented of the reorganization of American Concrete Institute’s (ACI) flagship design document, ACI 318. The standard’s networks before (ACI 318-11) and after (ACI 318-14) the reorganization are developed via rule-based text extraction. Networks are analyzed assuming that ACI 318-14 is the structurally superior document. Indicators of complexity are identified from each networks' characteristic features, centrality metrics, clustering tendencies, recurring motifs, and geodesic paths. Network analysis is found to be useful for identifying, understanding, and mitigating navigational complexity within a building design standard.

Trem2/Tyrobp Signaling Protects Against Aortic Dissection and Rupture by Inhibiting Macrophage Activation in Mice.

The development of aortic dissection (AD) is closely associated with inflammation. The Trem2 (triggering receptor expressed on myeloid cells 2)/Tyrobp (TYRO protein tyrosine kinase-binding protein) signaling pathway critically regulates innate immunity and has emerged as an important target in cardiovascular diseases; however, its role in AD remains unclear. Transcriptome data from human and mouse ADs were used to perform differentially expressed gene-based protein-protein interaction network analyses. Tyrobp knockout (Tyrobp-/-), myeloid cell-specific Tyrobp-/- (Tyrobpfl/fl Lyz2cre), and Trem2 knockout (Trem2-/-) mice were given β-aminopropionitrile monofumarate in drinking water to induce AD. To dissect the role of macrophages in Tyrobp deficiency-mediated AD progression, macrophages were depleted using clodronate liposomes. Bulk and single-cell RNA sequencing, immunofluorescence staining, and quantitative real-time polymerase chain reaction were performed to assess inflammation and the underlying mechanisms of Tyrobp in AD. Network analysis identified Tyrobp as a hub gene of AD, with elevated levels observed in both human and mouse ADs. Global deletion and myeloid cell-specific deficiency of Tyrobp in mice significantly increased AD incidence and exacerbated extracellular matrix degradation and macrophage infiltration within the aortic wall. Macrophage depletion mitigated the adverse effects of Tyrobp deficiency on AD progression. Additionally, Tyrobp deficiency enhanced TLR (Toll-like receptor)-4 signaling and macrophage activation, which were abrogated by TLR4 inhibitors. Furthermore, deletion of the Tyrobp-associated receptor Trem2 significantly aggravated mouse AD development, whereas Trem2 agonist treatment conferred protection against AD. Our findings suggest a novel role for the Trem2/Tyrobp axis in AD development in mice. Enhancement of Trem2/Tyrobp signaling may represent a promising strategy for the prevention and treatment of AD. Future studies to clarify the role of Trem2/Tyrobp in human AD are warranted.

QTL mapping and transcriptome analysis of seed germination under PEG-induced water stress in Lactuca spp.

The impact of limited water availability on lettuce growth has been well documented. However, the mechanisms by which lettuce controls seed germination under water stress remain unknown. Germination percentage was evaluated in the cv. Salinas (Lactuca sativa) (L. sativa) × US96UC23 (Lactuca serriola) (L. serriola) recombinant inbred line (RIL) population and USDA germplasm collection using 10% polyethylene glycol (PEG). About 50% of both populations displayed less than 90% germination. The average broad-sense heritability (H2) for germination percentage was 0.81 across both populations. Two quantitative trait loci (QTL) for germination percentage were identified on chromosomes 4 and 8 in the RIL population. The RNA-Seq and network analyses of wild lettuce, US96UC23, were performed using the control (distilled water, dH2O) and treatment (10% PEG) datasets. The number of differentially expressed genes (DEGs) was 4,095. The top 20 gene ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were assessed by enrichment analysis. The consensus network analysis captured 44 modules. Gene networks were constructed for the top 20 hub genes in 10 significant modules from each dataset. This study comprehensively explains QTL, GO terms, KEGG pathways, and gene networks associated with lettuce seed germination under osmotic stress.

ECOLINGUISTIC REVIEW OF THE INTERNET LINGUOCYNICISMS

The purpose. The purpose of the article is to study of the impact of Internet communication on the language behaviour of users, the identification of specific linguistic changes and their shades in this environment, as well as the analyse the ecological consequences of these phenomena. Methodology. The research is based on the use of the ecolinguistic approach, which combines the methods of linguistics, ecology and cultural studies. Methods of analysis include descriptive analysis of language means, content analysis of Internet resources, as well as observation of the language practice of users. The use of a multi-method approach allows readers to get a comprehensive picture of the phenomenon of linguistics on the Internet. Methods such as analysis and synthesis of literature on the research problem, web scraping, analysis of social networks, discourse and content analysis were also used in the research. Scientific novelty. The article reveals a new aspect of language learning in the context of the modern digital environment. The study reveals unique linguistic features that occur online, such as language abbreviations, the use of emojis, and other forms of non-standard communication. The impact of these phenomena on language culture and ways of expressing thoughts and feelings is analyzed. The article analyzes for the first time the interaction between language practice in the online environment and the natural environment, highlighting the impact of the Internet language on the language ecosystem and cultural landscape in general. Changes in the presentation of language units to the public can be clearly traced through the ecolinguistic prism. In addition, language clogging is traced and ways to overcome linguocynicisms are provided. Conclusions. The results of the study indicate that the Internet significantly affects the evolution of language, creating new linguistic realities and changing the ways of communication. Awareness of these changes is important for the further development of linguistics and society as a whole. Investigating the ecolinguistic aspects of Internet linguocynicisms can be an important contribution to understanding the interaction between language, culture, and technology.

Inundation and evacuation of shoreline populations during landslide-triggered tsunamis: an integrated numerical and statistical hazard assessment

Abstract. The volcanic island of Stromboli (southern Tyrrhenian Sea, Italy) is renowned for its persistent, periodic, low-intensity explosive activity, whose spectacular manifestations attract tens of thousands of tourists every year. However, sporadic more intense major explosive and effusive eruptions and paroxysms pose serious threats to the island. In addition to direct hazards, granular slides of volcanic debris and pyroclastic avalanches, which can rapidly reach the sea and potentially generate tsunamis, are often associated with such unpredictable eruptive activity. Due to the very fast propagation of the tsunami around the island and the consequent short tsunami warning time (ranging from less than a minute to only a few minutes), mitigation efforts and evacuation from the Strombolian coast must be carefully planned. In this paper, we describe a new GIS-assisted procedure that allows us to combine the outputs of an ensemble of 156 pre-computed landslide-generated tsunami hazard scenarios (with variable landslide volume, position, and density), statistical exposure data (i.e. the number of inhabitants and tourists), and digital geographic information to obtain a quantitative (scenario-based) risk analysis. By means of the analysis of the road network and coastal morphology, we develop a model with routes and times to reach a safe area from every pixel in the inundated area and an appraisal of the time needed to escape versus the wave arrival time. This allows us to evaluate and quantify the effectiveness of potential risk mitigation by means of evacuation. The creation of an impact score linking the predicted inundation extent and the tsunami warning signals is intended, in the long term, to be used to predict the intensity of future tsunamis and to adapt evacuation plans accordingly. The model, here applied to Stromboli, is general and can be applied to other volcanic islands. Evacuating an island hosting several thousand tourists every summer with very little warning time underlines the absolute necessity for such mitigation efforts, aimed at informing hazard planners and managers and all other stakeholders.

Paeoniflorin-mediated downregulation of VEGFA: unveiling the therapeutic mechanism of buyang huanwu decoction in diabetic retinopathy.

Diabetic retinopathy (DR) is a leading cause of blindness globally. Buyang Huanwu decoction (BHD) is a traditional Chinese medicine for treating DR, but its therapeutic mechanisms are not fully understood. This study aimed to elucidate and validate the underlying mechanisms of BHD in DR treatment through network pharmacology and in vitro experiments. We identified active compounds in BHD and their associated targets using the TCMSP and SwissTargetPrediction. DR-related targets were sourced from GeneCards, NCBI, and OMIM databases. The protein-protein interaction (PPI) network and enrichment analyses were employed to predict common targets and pathways. Subsequent molecular docking and in vitro experiments, including cell viability assays, RT-qPCR, flow cytometry, and Western blot, were conducted to validate the anti-DR mechanism of BHD. Network pharmacology identified paeoniflorin as a key active compound in BHD for treating DR, with VEGFA emerging as a central target. Molecular docking suggested a strong binding affinity between paeoniflorin and VEGFA. In vitro experiments confirmed that paeoniflorin attenuated high glucose-induced increases in cell viability, migration, apoptosis, and inflammatory cytokine expression in retinal pigment epithelial cells. The therapeutic effect of paeoniflorin was primarily mediated through the downregulation of VEGFA expression. Our study demonstrates that paeoniflorin, a key active compound in BHD, effectively mitigates DR by downregulating VEGFA expression and reducing high glucose-induced cellular alterations, thereby highlighting its potential as a therapeutic agent for DR.

What can we learn about mental health from 10,933 patient lived experiences using a novel quantitative-qualitative network analysis?

What can we learn about mental health from 10,933 patient lived experiences using a novel quantitative-qualitative network analysis?

Response to Letter to the Editors “Neurophenomenological Investigation of Mindfulness Meditation “Cessation” Experiences Using EEG Network Analysis in an Intensively Sampled Adept Meditator”

Response to Letter to the Editors “Neurophenomenological Investigation of Mindfulness Meditation “Cessation” Experiences Using EEG Network Analysis in an Intensively Sampled Adept Meditator”

Global microplastics pollution: a bibliometric analysis and review on research trends and hotspots in agroecosystems.

The prevalence of microplastics (MPs) in agricultural ecosystems poses a notable threat to dynamics of soil ecosystems, crop productivity, and global food security. MPs enter agricultural ecosystems from various sources and have considerable impacts on the physiochemical properties soil, soil organisms and microbial communities, and plants. However, the intensity of these impacts can vary with the size, shape, types, and the concentrations of MPs in the soil. Besides, MPs can enter food chain through consummation of crops grown on MPs polluted soils. In this study, we conducted a bibliometric analysis of 1636 publications on the effects of MPs on agricultural ecosystems from 2012 to May 2024. The results revealed a substantial increase in publications over the years, and China, the USA, Germany, and India have emerged as leading countries in this field of research. Social network analysis identified emerging trends and research hotspots. The latest burst keywords were contaminants, biochar, polyethylene microplastics, biodegradable microplastics, antibiotic resistance genes, and quantification. Furthermore, we have summarized the effects of MPs on various components of agricultural ecosystems. By integrating findings from diverse disciplinary perspectives, this study provides a valuable insight into the current knowledge landscape, identifies research gaps, and proposes future research directions to effectively tackle the intricate challenges associated with MPs pollution in agricultural environments.

Electrochemical degradation of aromatic organophosphate esters: Mechanisms, toxicity changes, and ecological risk assessment

Aromatic organophosphate esters (AOPEs), including triphenyl phosphate (TPHP), tricresyl phosphate (TCP), and 2-ethylhexyl diphenyl phosphate (EHDPP), pose significant health and ecological risks. Electrochemical advanced oxidation process (EAOP) is effective in removing refractory pollutants. In this study, the degradation performance and detoxication ability of AOPEs by EAOP were investigated. Hydroxylation, oxidation, and bond cleavage products were identified as major degradation products (DPs) due to the reaction with ·OH and O₂·-. Toxicity assessments using ecological structure activity relationship (ECOSAR) model and flow cytometry (FCM) revealed the cytotoxicity and aquatic toxicity for DPs were significantly decreased. 16S rRNA gene sequencing of sediment exposure to AOPEs and DPs were applied to assess ecological toxicity, and results showed reduced bacterial richness and diversity with EHDPP and TCP, while TPHP slightly enhanced richness. AOPEs and DPs altered bacterial genera involved in carbon, nitrogen, sulfur cycling and organic compound degradation. Bacterial community assembly suggested elevated stochastic processes and reduced ecotoxicity, confirming AOPEs can be effectively detoxified by 10-min EAOP treatment. Molecular ecological network analysis indicated increased complexity and stability of bacterial communities with DPs. These findings comprehensively revealed the toxicity of AOPEs and their DPs and provided the first evidence of effective degradation and detoxification by EAOP from ecotoxicological perspective.

Transcriptomics analysis of differential gene expression and immune and inflammatory response mechanisms in patients with typical and non-criteria obstetric antiphospholipid syndrome (OAPS and NC-OAPS)

In this study, we investigated the molecular differences between patients with typical obstetric antiphospholipid syndrome (OAPS) and patients with non-criteria obstetric antiphospholipid syndrome (NC-OAPS) patients through transcriptome sequencing of peripheral blood samples from ten OAPS patients and ten NC-OAPS patients. Differentially expressed genes (DEGs) were identified, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses, protein-protein interaction (PPI) analysis, and competitive endogenous RNA (ceRNA) network construction to identify hub genes. Verification was performed via Quantitative Real-time PCR (qPCR) in OAPS (n=9) and NC-OAPS (n=12) samples. We identified 240 DEGs in two groups. GO and KEGG analyses reviewed upregulated in pathways related to the inflammatory response; immune response; antigen processing and presentation; Th1, Th2, and Th17 cell differentiation; and NK cell-mediated cytotoxicity in OAPS patients. PPI and ceRNA network analyses identified key genes, with significant upregulation of CXCR2, JAK2, and MPO found in the OAPS group, which correlated with severe inflammation, JAK-STAT pathway activation, and increased NET activity in neutrophils. Other genes such as CD4, IL2RB, and NKG7, are involved in T-cell and NK cell regulation. Our results indicate enhanced inflammatory and immune responses in OAPS patients, suggesting more severe immune activity than in NC-OAPS patients, providing a basis for precise diagnostic and therapeutic strategies.

ScRNA-seq and bulk RNA-seq identified NUPR1 as novel biomarkers related to CD4 + T cells infiltration for abdominal aortic aneurysm.

Developing a molecular signature associated with CD4 + T cell infiltration is essential for identifying biomarkers in abdominal aortic aneurysms (AAA). Establishing such a signature is vital for improving diagnostic accuracy and therapeutic strategies for AAA. This study focuses on CD4 + T cells, which are pivotal in the immune microenvironment of AAA, to pinpoint key targets. We identified CD4 + T cell-related biomarkers in AAA using bulk and single-cell RNA sequencing data from the GEO database. We employed CIBERSORT to assess immune cell infiltration and applied weighted gene co-expression network analysis and differential expression analyses to pinpoint key genes. A nomogram and related score were developed based on these genes. Single-cell RNA sequencing further analyzed their expression across cell types, and KEGG/GO analyses were conducted for candidate genes. Four genes (NUPR1, CCL4L2, CCL3L3, MMP9) were identified finally. Validation via qPCR and immunohistochemistry showed NUPR1 downregulation in aneurysms and an inverse relationship with CD4 + T cells infiltration. Immunofluorescence results indicated NUPR1 was mainly expressed in the cytoplasm of vascular smooth muscle cells (VSMCs). After VSMCs-specific overexpression of NUPR1 via adeno-associated virus, the AAA diameter decreased, while treatment with the NUPR1 nuclear translocation inhibitor ZZW-115 hydrochloride had no effect on AAA size. Overexpression of NUPR1 in VSMCs suppresses the migration of CD4 + T cells. The four-gene signature accurately predicts CD4 + T cell infiltration in AAA patients and may serve as a clinical index. NUPR1 could be a therapeutic target for the interaction between CD4 + T cells and AAA.

Day-level examination of ego-network effects on college students' alcohol consumption.

Egocentric social network analyses show that drinking habits of college students' friends predict personal alcohol consumption. To date, most of this research focused on between-person, cross-sectional, or long-term longitudinal designs to evaluate these effects. This study used intensive longitudinal methods to examine episode-specific effects of social networks (network drinking, network composition) on college students' drinking, comparing within-person and between-person effects on individual episodic drinking, and highlighted social network characteristics that might be targeted for intervention. College students (N = 1,151, 54% female, Mage = 19.26, 81% White) identified their ego network: five close alters (e.g., friends, family) whom they met frequently. For 30 days using an internet-based diary, participants reported their daily drinking levels, indicated whether they met with each alter the previous night, and reported how many drinks each alter consumed. Two-part multilevel models were used to examine participant drinking. At the within-person level, when a higher proportion of a participant's ego network drank and when network total drinks were higher than average, the odds that a participant drank were significantly increased, and if they did drink, they consumed more alcoholic drinks than usual. Participants were more likely to drink on days when their network was comprised of more friends and more opposite-gender alters. Findings provide preliminary evidence that daily network drinking appears to influence drinking patterns and quantities among students. Such information could be used within ecological momentary interventions to prevent harmful drinking patterns such as heavy drinking episodes and incapacitation. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Depletion of core microbiome forms the shared background against diverging dysbiosis patterns in Crohn’s disease and intestinal tuberculosis: insights from an integrated multi-cohort analysis

Background/aimsCrohn’s disease (CD) and intestinal tuberculosis (ITB) are gastrointestinal (GI) inflammatory disorders with overlapping clinical presentations but diverging etiologies. The study aims to decipher CD and ITB-associated gut dysbiosis signatures and identify disease-associated co-occurring modules to evaluate whether this dysbiosis signature is a disease-specific trait or is a shared feature across diseases of diverging etiologies.MethodsDisease-associated gut microbial modules were identified using statistical machine learning and co-abundance network analysis in controls, CD and ITB patients recruited as part of this study. Module reproducibility was reinvestigated through meta-network analysis encompassing >5400 bacteriomes and ~900 mycobiomes. Subsequently, >1600 Indian gut microbiomes were analyzed to identify a central-core gut microbiome of 46 taxa, whose abundances aided in the formulation of an India-specific Core Gut Microbiome Score (CGMS) to measure the degree of core retention.ResultsBoth diseases witness similar patterns of alterations in [alpha]-diversity, characterized by a significant reduction in gut bacterial (i.e., bacterial/archaeal) diversity and a concomitant increase in the fungal [alpha]-diversity. Specific bacterial taxa, along with the diverging mycobiome enabled distinction between the diseases. Co-abundance network analysis of these taxa, validated by integrated meta-network analysis, revealed a ‘disease-depleted’ module, consistent across multiple cohorts, with >75% of this module constituting the central-core Indian gut microbiome. CGMS robustly assessed the core-microbiome loss across different stages of gut inflammatory disorders, in Indian and international cohorts.ConclusionsWhile the disease-specific gain of detrimental bacteria forms an important component of gut dysbiosis, loss of the core microbiome is a shared phenomenon contributing to various GI disorders.

Elite Politics, Mass Discontent and Political Inequality in South Korea: Who Represents Me?

In an era of heightened public skepticism toward political institutions, understanding the perceived divide between political elites and the general population has become increasingly essential. This study examines how Korean citizens perceive their political representatives, focusing on the socio-economic and demographic disparities between political elites and the wider public. To achieve this, this study concentrates on three core elements: citizens’ perceptions of politicians, the social networks of elite politicians, and the socio-economic and demographic attributes of these elites in comparison to the general population. Employing a data-driven approach—including text analysis, clustering, social network analysis, and visualization techniques—this study investigates data on political elites alongside district-level data. The findings reveal significant socio-economic and demographic disparities between political elites and the public, with elites predominantly emerging from narrow backgrounds characterized by affluence, high education, and an overrepresentation of males above the age of 60. These results underscore the need for measures that promote transparency, accountability, and inclusivity within the political system, highlighting the importance of bridging the divide between political elites and the general public to cultivate a more representative and responsive political environment.