Quantitative Index Research Articles

Comparing the roles of secondary schools and universities in the formation of British cabinet ministers, 1922–2022

AbstractThe role played by the education system in the creation and reproduction of governing elites, and its countervailing potential to create a more meritocratic and egalitarian society, has been a topic of enduring concern. However, these debates have been rendered opaque by an inability to directly compare elite formation systems both within and between countries. To resolve this problem, we employ elite formation quantitative indices to compare the roles of the secondary school and higher education systems, of the United Kingdom of Great Britain and Northern Ireland, in the formation of its political elite—cabinet ministers—between 1922 and 2022. Our findings show that the universities educating cabinet ministers have been more elite and influential than the secondary schools, but not more exclusive. Additionally, while only a small number of universities and schools supplied more than one cabinet minister over the century, a very small number of universities and schools supplied a great many.

Assessing the long-term care (LTC) service needs of older adults based on time-driven activity-based costing (TDABC)–a cross-sectional survey in central China

BackgroundThe global population’s aging has led to an increasing demand for long-term care (LTC), especially in developing countries like China. Comprehensive assessment of LTC service demands by including the time and cost analysis is crucial to inform the planning and financing of LTC resources, yet such research is lacking in China. Our research team has developed a quantitative index system of the medical and nursing services needs of older adults (QISMNSNE) based on the framework of Time-Driven Activity-Based Costing (TDABC), providing a valuable tool for measuring LTC service needs. This study aimed to assess the LTC service needs of older adults in China and the factors associated with such needs.MethodsA cross-sectional study was conducted in Changsha City, Hunan Province, China, from June 2021 to December 2022. A stratified multistage cluster sampling method was used to recruit 1,270 older adults from five nursing homes and three communities/streets in three regions of Changsha City. The LTC service needs were assessed by calculating the service time required from caregivers, nurses, and doctors and the total service time (min/d) using the QISMNSNE. Participants’ disability, activities of daily living (ADLs), mental status and social involvement (MSSI), and sensory and communication (SC) were assessed using standard scales. Generalized linear regression models were used to analyze factors associated with LTC service needs.ResultsThe participants had an average age of 76.41 ± 8.38 years, with 43.7% being female. The median service time required from caregivers, nurses, and doctors was 53.34 min/d, 3.66 min/d, and 0.33 min/d, respectively, and the total service time was 83.31 min/d. The generalized linear regression model identified the following factors that were associated with higher total service time: aged 75–84 years, living in nursing homes, income over 5000 per month, ADLs, MSSI (9 ~ 40), SC, and having 3 ~ 4 kinds of geriatric comorbidity (P < 0.05).ConclusionsOlder adults have a high need for LTC services, especially those provided by caregivers, indicating an urgent need to expand and improve LTC systems. The LTC service time needed is associated with multilevel factors encompassing socio-demographic, functional, and psychological aspects. This study offers preliminary insights into the needs, demands, and costs of LTC services for older adults and provides essential guidance for future planning and financing of LTC resources.

Vulnerability Comparisons of Various Complex Urban Metro Networks Under Multiple Failure Scenarios

Urban metro networks, characterized by their complex systems of interdependent components, are susceptible to a wide range of operational disturbances and threats. Such disruptions can cascade through the system, leading to service delays, operational inefficiencies, and substantial economic losses. Consequently, assessing and understanding network vulnerabilities have become crucial to ensuring resilient metro operations. While many studies focus on single-failure scenarios, comparative vulnerability analyses of various urban metro networks under multiple or simultaneous failures remain limited. To address this gap, our study introduces a comprehensive analytical framework comprising three key components: quantitative indices operating at both network and node levels, methodological approaches to assess the importance of network components (nodes, edges, and lines), and systematic protocols for evaluating vulnerabilities across multiple failure scenarios (stations, tunnels, lines, and areas). A comparative analysis of the Shenzhen Metro Network (SZMN) and the Zhengzhou Metro Network (ZZMN) validates the proposed methods. The results indicate that the SZMN demonstrates higher connectivity and accessibility than the ZZMN, despite a lower network density. Both networks are disassortative and heterogeneous, with edges connecting multiline transfer stations showing significantly higher edge betweenness centrality compared to those connecting general stations. In the SZMN, 6.63% of node failures and 4.74% of tunnel failures exceed a vulnerability threshold of 0.03, compared to 13.74% and 11.27% in the ZZMN. Failures across different lines and areas yield varying impacts on network performance and vulnerability. This study provides essential theoretical and practical insights, helping metro safety managers identify vulnerable points and strengthen the sustainable development of urban metro systems.

Estimation and Restoration of Dried Soil Layers in a Slope‐Gully Unit of the Chinese Loess Plateau

ABSTRACTDried soil layer (DSL) is a phenomenon of deep soil desiccation caused by soil water content (SWC) deficiency. Relevant studies in the fragmented terrain of Chinese Loess Plateau (CLP) remain limited. In a typical slope‐gully unit near the Liudaogou catchment, SWC was measured using neutron probes on 19 occasions at 15 observational locations. In order to reveal the temporal stability and elimination degree of DSLs, available soil moisture (ASM) and DSL were estimated by representative sites which were determined through the temporal stability method, and the reliability of simulating mean condition of the study area via representative locations was assessed. Results show that: (1) the dynamics of DSL was characterised by complexity and diversity. The ASM within the DSL (DSL‐ASM), ASM within the sandwiched DSL (SDSL‐ASM) and quantitative index (QI) varied within the range of 2.75%–3.11%, 2.98%–4.22% and 0.254–0.356, respectively. (2) The possibility of development and recovery for DSL and SDSL in deep layers were less than that in shallow layers. The maximum depth of DSL (DSLMD) was significantly and negatively related to the standard deviation of relative difference (SDRD) of DSL‐ASM, the maximum depth of SDSL (SDSLMD) was negatively related to the SDRD of SDSL‐ASM. (3) The prediction results of ASM above 300 cm depth were more accurate than other layers (R2 = 0.89). The DSL‐ASM had more accurate ability of prediction than SDSL‐ASM and QI. On the analysis of time stability characteristics of ASM and DSLs, the locations of A2 and C3 can better represent the mean conditions of ASM at three and four soil layers, respectively. C2, A1 and A1 can better represent the average levels of DSL‐ASM, SDSL‐ASM and QI, respectively (R2 = 0.43, 0.14 and 0.18). (4) The restoration degrees of DSLs mainly showed no elimination and slight elimination, the DSLs cannot be completely eliminated within a short time. We proposed that scientific regulation of SWC can alleviate the formation and development of DSLs at a certain extent, and provide the possibility for DSLs nonoccurrence.

Fast chlorophyll fluorescence rise kinetics as a high-throughput diagnostic tool for evaluating the capacity of 2-amino-3-methylhexanoic acid at inducing plant resistance against high temperature

Plant resistant induction is considered as a promising strategy for protecting crops against extreme high temperature (HT). However, a high-throughput method to accurately estimate the capacity of plant resistance inducers (PRIs) for HT resistance has not been developed. Here, we present a simple approach using fast chlorophyll fluorescence kinetics in Arabidopsis leaf discs to assess PRI efficacy in inducing HT resistance. Both 2-amino-3-methylhexanoic acid (AMHA) and salicylic acid (SA) significantly alleviated the temperature-dependent increase in the K-peak of the OJIP curve and variations in amplitude of heat-responsive JIP-test parameters within the elevated-temperature range of 25 to 42℃. The PIABS (performance index on absorption basis) and WK (relative variable fluorescence at the K-step to the amplitude FJ - FO) as two classical heat-responsive characteristic parameters were used to produce a novel hypersensitive parameter HT sensitivity indicator, PIABS/WK (named Hs). Based on the correlation of logHs with elevated temperatures, a model for quantifying the capacity of HT-resistance induction (called Ci) by AMHA or SA was established. A three-grade classification according to the Ci value was proposed as low (0<Ci ≤ 1℃), moderate (1℃ <Ci ≤ 2℃), and high resistance (Ci > 2℃). AMHA at 1µM and SA at 100µM had Ci values of 2.49℃ and 4.09℃ in Arabidopsis plants, respectively, associated with their high level of HT resistance induction. Additionally, the EC50 derived from the relative stimulation ratio (Kc) was also introduced as a quantitative index for measuring the ability of AMHA and SA to induce HT resistance. The EC50 value of AMHA is about 0.1µM in Arabidopsis and 0.35µM in tomato, being much lower than that of SA (approximately 63µM in Arabidopsis). Thus, AMHA is a more potent plant inducer than SA. The model was validated through additional experimental evidence, demonstrating its reliability and applicability. This study provides an expeditious high-throughput method for screening promising PRI candidates.

Resilience compass navigation through manufacturing organization uncertainty – A dynamic capabilities approach using mixed methods

In uncertain manufacturing environments, tools that help companies and supply chains navigate unexpected events and promote sustainability are crucial. However, the application of resilience in manufacturing organizations is limited, often focusing on supply chain resilience. This study used mixed methods to minimize subjectivity in manufacturing resilience. A quantitative Content Validity Index (CVI) helped develop the 'resilience compass' assessment tool, while empirical applications in six manufacturing organizations demonstrated its usefulness. The study identifies relationships between 54 resilience practices, 11 dynamic capabilities, and three stages: anticipation, coping, and adaptation, providing decision-makers with actionable insights to enhance manufacturing resilience.

Seaweed functional strategies, functional groups, and taxon dynamics through a 213-year historical series of Rio De Janeiro Bay

From Darwin’s visit to nowadays, we analyzed the changes in species- and genus-level richness and turnover, equity, diversity, composition, as well as functional group and functional strategy dynamics over a 213-year historical series of the seaweed assemblage from Rio de Janeiro Bay. We developed new analysis methods to serve as a protocol for worldwide functional and bioindicator assessment of seaweed assemblages. Over the two centuries of changes tracked, the integration of taxonomic, functional group, and functional strategy analyses unraveled a trajectory of seaweed assemblage restructuring under human disturbance. Our taxonomic analyses showed a high species and genus turnover and a decline in richness, with the local extinction of the Sargassum genus, responsible for warm temperate kelp forests in the Western Atlantic. Seaweed functional group data presented a trend of morphological simplification and miniaturization, with the decline of marine forest canopy and subcanopy-forming groups favoring filamentous and crustose algae dominance. Functional strategy data showed the historical decline of competitive structuring as an assemblage driver in favor of disturbance and stress-structuring, as highlighted by the competitive strategy decrease, coupled with stress-tolerant and ruderal strategies rise across metrics. These changes were successfully portrayed by the new ecological index we proposed, the C/SR index. It is the first quantitative index for seaweed assemblages, designed to be a trackable metric for conservation, monitoring, and restoration efforts.

Insights into Decapod Sentience: Applying the General Welfare Index (GWI) for Whiteleg Shrimp (Penaeus vannamei—Boone, 1931) Reared in Aquaculture Grow-Out Ponds

The rapid growth of shrimp farming, particularly of Penaeus vannamei, accounts for about 80% of the global production of farmed shrimp and involves the cultivation of approximately 383 to 977 billion individuals annually, which highlights the urgent need to address the ethical and technical implications of raising potentially sentient beings. This study builds on the state-of-the-art assessment of sentience, consciousness, stress, distress, nociception, pain perception, and welfare to adapt the General Welfare Index (GWI) for farmed shrimp. The GWI is a quantitative index developed by our research group to measure the degree of welfare in aquaculture, and it has been previously applied to grass carp and tilapia. Using the PRISMA methodology and the creation of a hypothetical shrimp farm, the GWI, with 31 specific and measurable indicators across various welfare domains, is adapted to P. vannamei, offering a comprehensive assessment framework. The inclusion of quantitative welfare indicators promises to improve living conditions in alignment with legislation adopted on decapods’ sentience and contemporary scientific advances.

Occupational exposure to nickel or hexavalent chromium and the risk of lung cancer (SYNERGY)

Abstract Background Hexavalent chromium (Cr(VI)) and nickel (Ni) are known occupational carcinogens, with frequent exposures, for example, in welding-related activities. However, limited evidence exists on the exposure-response relationship of Cr(VI) or Ni with lung-cancer risk. We estimated lung-cancer risks based on quantitative indices of occupational exposure to each metal, and their interaction with smoking habits. Methods Fourteen case-control studies from Europe and Canada (16,901 cases, 20,965 control subjects) were pooled. A measurement-based job-exposure matrix was used to estimate year- and region-specific exposure levels for Cr(VI) and Ni, which were linked to the study subjects’ occupational histories. Odds ratios (OR) and 95% confidence intervals (CI) were calculated, adjusting for study, age group, smoking, and exposure to other occupational lung carcinogens. Results The OR for the highest quartile (&amp;gt;99.5 μg/m3-years) of cumulative exposure to Cr(VI) in men was 1.32 (95% CI 1.19-1.47) and for nickel (highest quartile &amp;gt;78.1 μg/m3-years) OR = 1.29 (95% CI 1.15-1.45). Corresponding effect estimates in women were slightly lower. The joint effects of Cr(VI) and nickel with smoking were generally greater than additive. Conclusions We observed positive exposure-response relationships in the low-dose range of Cr(VI) and Ni exposures, based on a large study population including detailed information on smoking habits and a measurement-based job-exposure matrix. Although, we cannot rule out a combined classical measurement and Berkson error structure that may have caused bias in our risk estimates, our results provide empirical evidence to further specify preventive measures at the workplace in order to protect workers from hazardous substances. Key messages • Relatively low cumulative levels of occupational exposure to Cr(VI) and Ni were associated with increased ORs for lung cancer, particularly in men. • Important empirical insights for the prevention of cancer at the workplace can be drawn from the results.

Long-Term Stable and Multifeature Microfluidic Impedance Flow Cytometry Based on a Constricted Channel for Single-Cell Mechanical Phenotyping.

The microfluidic impedance flow cytometer (m-IFC) using constricted microchannels is an appealing choice for the high-throughput measurement of single-cell mechanical properties. However, channels smaller than the cells are susceptible to irreversible blockage, extremely affecting the stability of the system and the throughput. Meanwhile, the common practice of extracting a single quantitative index, i.e., total cell passage time, through the constricted part is inadequate to decipher the complex mechanical properties of individual cells. Herein, this study presents a long-term stable and multifeature m-IFC based on a constricted channel for single-cell mechanical phenotyping. The blockage problem is effectively overcome by adding tiny xanthan gum (XG) polymers. The cells can pass through the constricted channel at a flow rate of 500 μL/h without clogging, exhibiting high throughput (∼240 samples per second) and long-term stability (∼2 h). Moreover, six detection regions were implemented to capture the multiple features related to the whole process of a single cell passing through the long-constricted channel, e.g., creep, friction, and relaxation stages. To verify the performance of the multifeature m-IFC, cells treated with perturbations of microtubules and microfilaments within the cytoskeleton were detected, respectively. It suggests that the extracted features provide more comprehensive clues for single-cell analysis in structural and mechanical transformation. Overall, our proposed multifeature m-IFC exhibits the advantages of nonclogging and high throughput, which can be extended to other cell types for nondestructive and real-time mechanical phenotyping in cost-effective applications.

Dynamic Programming-Based Approach to Model Antigen-Driven Immune Repertoire Synthesis

This paper presents a novel approach to modeling the repertoire of the immune system and its adaptation in response to the evolutionary dynamics of pathogens associated with their genetic variability. It is based on application of a dynamic programming-based framework to model the antigen-driven immune repertoire synthesis. The processes of formation of new receptor specificity of lymphocytes (the growth of their affinity during maturation) are described by an ordinary differential equation (ODE) with a piecewise-constant right-hand side. Optimal control synthesis is based on the solution of the Hamilton–Jacobi–Bellman equation implementing the dynamic programming approach for controlling Gaussian random processes generated by a stochastic differential equation (SDE) with the noise in the form of the Wiener process. The proposed description of the clonal repertoire of the immune system allows us to introduce an integral characteristic of the immune repertoire completeness or the integrative fitness of the whole immune system. The quantitative index for characterizing the immune system fitness is analytically derived using the Feynman–Kac–Kolmogorov equation.

Design of Bayesian evaluation test for missile damage effectiveness based on multiple damage level standards

The qualified missile damage effectiveness is an important guarantee for giving full play to combat effectiveness. In order to test whether the missile damage effectiveness meets the standard, it is particularly necessary to carry out damage effectiveness identification test research. In view of the limitation that the existing "single-shot damage probability" damage effectiveness quantitative characterization index is difficult to fully describe the missile damage effectiveness based on a single damage standard, considering the different damage level results formed by a single missile hitting the target, the damage effectiveness is characterized by the probability of occurrence of different damage level results. Missile identification from the perspective of multiple damage level standards is conducive to comprehensive inspection of missile damage effectiveness. In addition, in order to overcome the problem of insufficient information in small sample missile assembly tests, the Bayesian method is combined with the system contribution degree to fuse multi-source prior information in the identification test design, and a test scheme with full information utilization and controllable risks for both parties is designed. The example shows that compared with the quantitative characterization index of a single damage standard, this study can fully describe the missile damage effectiveness, and compared with the improved binomial distribution hypothesis test method, the superiority of this method is verified.

Analyzing the image quality using a quantitative index for the robotic ultrasound probe maneuver system

This paper presents a quantitative index introduced, ‘clarity,’ which can address both the ultrasound probe's brightness and full contact states to indicate ultrasound image quality for the robotic ultrasound system. Furthermore, it evaluates its performance through an experiment, a comparative analysis, and a questionnaire. The index is calculated based on pixel statistics within the predefined region of interest. Experimental validation is conducted by implementing a robotic ultrasound system and performing experiments using two phantoms. Notably, the Results demonstrate the distinction of the visible difference in ultrasound images but also show that it is hard to classify the tiny difference. Additionally, a questionnaire was carried out to ask about the recognition of good image quality. The opinions are the same trends and patterns. The 53.4 clarity value was determined from the answers as the boundary between good and bad-quality images. The experiment results, and questionnaire findings suggest that the proposed clarity index could be a reliable tool for evaluating ultrasound image quality in robotic systems, offering insights for improving diagnostic accuracy and efficiency. This research provides a clear framework for assessing ultrasound image quality in robotic applications, paving the way for advancements in the efficacy and precision of ultrasound imaging techniques.

A New Diagnosis of Intestinal Metaplasia in Gastric Mucosa: Convolutional Neural Network Based on Visual Auxiliary Method

Abstract Introduction/Objective Intestinal metaplasia (IM) is a common lesion observed in chronic gastric disease and is thought to be associated with the development of gastric cancer. One of the characteristics of IM is the presence of goblet cells. However, differentiating these inconspicuous goblet cells from glandular cavities and gastric mucus cells using traditional algorithms is inefficient. This paper proposes an interpretable auxiliary diagnosis method for gastric mucosal intestinal metaplasia based on a convolutional neural network(CNN). Methods/Case Report The overall flow chart of the algorithm is shown in Figure 1A. The self-constructed gastric mucosa dataset is utilized in this paper for IM. To improve performance, some modifications are applied to the U-Net. The auxiliary diagnosis process incorporates R34W and R34U for segmenting the glands and IM regions. The R34W represents a dual-resolution input network structure (Figure 1B). For the initial stage of the auxiliary diagnosis, the convolutional neural network calculates patches with both large and small fields for gland region segmentation. Then, the IM glands segmentation network is used to classify regions with and without IM lesions. Results (if a Case Study enter NA) The result of the WSI level mask generated after post-processing is shown in Figure 2A. R34W Net offers significant advantages in differentiating open epithelial structures and proper glands. This network effectively differentiates between proper glands and epithelial regions while maintaining precise segmentation, leveraging high-resolution features in a small visual field. The quantitative indexes of gland segmentation networks are shown in Figure 2B. As part of auxiliary diagnosis, the classification of proper glands with intestinal metaplasia achieves the highest accuracy of 0.95 and AUC of 0.975 in the test datasets (Figure 2C). The area proportion of IM regions generated by CNN is shown in Figure 2D. Conclusion This paper provides a visual auxiliary method based on a CNN for the pathological diagnosis of intestinal metaplasia. The goal is to enhance the speed and accuracy of pathologists in performing this diagnosis. Additionally, we propose a CNN with a dual-resolution input structure, which is utilized for segmenting gastric proper glands.

Methodology for extracting narratives from social media big data

Purpose: of the article is to present the experience in developing and testing the methodology for extracting a system of narratives on a socially significant phenomenon from authentic social network big data (using the example of narratives about COVID-19 vaccination in the Russian social network VKontakte during the pandemic).Methods: of automated data analysis were used by the tools of the PolyAnalyst analytical platform: topic modeling (PLSA method), text indexing algorithms with the sentence identification stage, clustering, data aggregation, data normalization, calculation of a quantitative index. The calculation of the measure of proximity of keywords using the Python, partial manual markup and data validation were also carried out.Results: 4.5 million messages relevant to the topic of COVID-19 vaccination published in VKontakte from 01.01.2020 to 01.03.2023 were reduced to 237 stable narratives. A popularity index was calculated for each narrative. For example, the following narrative turned out to be the most popular: “Employers put pressure on people to get vaccinated” (it was supported by 76,118 texts). As a result of the study, a dataset was obtained, including 237 narratives.Conclusions and Relevance: the developed toolkit is universal: the methodology can be adapted to any relevant topic, requiring only adjustments to the input parameters of thematic modeling. The obtained dataset is planned to be introduced into scientific circulation as an up-to-date material for studying public opinion on vaccination in Russia. The results contribute to international research on public opinion and communication in crises and can serve as a basis for practical actions aimed at improving the quality of public communications and decision-making at all levels of government.

Diagnosis of the fragmentation of urban ecological network structure and its social-ecological responses.

The fragmentation of ecological network structures has become a common problem faced by cities. By establishing the urban ecological network under a specific socio-ecological system framework, we aimed to propose a quantitative index to diagnose the fragmentation of the network structure, and to construct detection model to explore the driving factors and mechanism of the network fragmentation. Using Shenzhen City as an example, we used the Floyd-Prim algorithm to generate the skeleton structure of the ecological network and construct a density discontinuity index to diagnose network fragmentation. Combined with the ecological network scenario, social-ecological system framework and a two-layer indicator system were constructed. The detection models were then established to explore the drivers of network disruption and their mode of impact. The models show that the average degree of network fragmentation in Shenzhen was 0.13, and the density of about 85% of corridor discontinuities was greater than 0.01, reflecting the serious state of structural fragmentation. Corridors with more severe structural fragmentation have poorer social-ecological coordination. The fragmentation in Shenzhen was mainly affected by the activities of actors (A) at the microlevel and the resource system (RS) at the macrolevel. The methods and the framework of socio-ecosystem analysis proposed in this paper can reveal the driving factors and influence modes of network fragmentation, providing decision-making reference for ecological restoration practice in urbanized areas.

Oral Disease and Atherosclerosis May Be Associated with Overlapping Metabolic Pathways.

Dental caries and periodontitis are among the most prevalent chronic diseases worldwide and have been associated with atherosclerotic cardiovascular diseases (ASCVD). This study aimed to determine (1) the independent associations between subclinical ASCVD markers (carotid intima media thickness [CIMT] and coronary artery calcification [CAC]) and quantitative indices of oral disease including the decayed, missing, and filled teeth (DMFT) index, gingivitis parameters, periodontal status, and number of teeth lost and (2) the extent to which metabolites altered in individuals with oral disease overlapped with those altered in individuals with ASCVD. We used data from 552 participants recruited through the Dental Strategies Concentrating on Risk Evaluation project. Oral examinations were conducted, and CIMT and CAC were measured. Multiple linear regression models were constructed with CIMT and CAC as dependent variables in the epidemiologic analysis. In the metabolomic analysis, logistic or linear regression was used to test 1,228 metabolites for association with each phenotype adjusted for age, sex, race, blood pressure, smoking, diabetes, cholesterol, high-sensitivity C-reactive protein, and interleukin-6. None of the oral disease markers were significant predictors of ASCVD markers in the fully adjusted models. However, critical lipid and lipid-signaling pathway metabolites were significantly associated with gingivitis, periodontitis, and DMFT: the lysophospholipid pathway (odds ratio [OR] = 2.29, false discovery rate [FDR]-adjusted P = 0.038) and arachidonate with gingivitis (OR = 2.35, FDR-adjusted P = 0.015), the sphingolipid metabolism pathway with periodontitis (OR = 2.09, FDR-adjusted P = 0.029), and borderline associations between plasmalogen and lysophospholipid pathways and DMFT (P = 0.055). Further, the same metabolite from the sphingolipid metabolism pathway, sphingomyelin (d17:1/14:0, d16:1/15:0), was inversely associated with both CIMT (β = -0.14, FDR-adjusted P = 0.014) and gingivitis (OR = 0.04, FDR-adjusted P = 0.033). The discovery of a common sphingomyelin metabolite in both disease processes is a novel finding suggesting that gingivitis and periodontitis may be associated with some overlapping metabolic pathways associated with ASCVD and indicating potential shared mechanisms among these diseases. The same metabolites may be altered in atherosclerosis and oral disease. Specifically, a common sphingomyelin metabolite was inversely associated with gingivitis and carotid intima media thickness, a subclinical marker of atherosclerotic cardiovascular disease. These findings can provide valuable insights for future mechanistic studies to establish potential causal relationships, with the hope of influencing disease prevention and targeted early treatment.

Insulin Resistance after Fontan Palliation.

Patients with a single ventricle heart who had Fontan palliation (S/P Fontan) are at increased risk for acquired morbidity. Insulin resistance (IR) is a predictor of cardiac morbidity and mortality. A single-center, cross-sectional study using S/P Fontan and controls was designed to assess IR S/P Fontan. Group comparisons were made in IR via the Quantitative Insulin Index (QUICKI) and the natural log-transformed homeostasis model assessment, ln (HOMA-IR), without/with adjusting for age. A total of 89 patients (59 Fontan and 30 controls) were included. Fontan patients showed a significant decrease in QUICKI (0.34 ± 0.03 vs 0.37 ± 0.02) and an elevation of ln (HOMA-IR) (0.82 ± 0.62 vs 0.24 ± 0.44) compared to controls (both p < 0.0001); this remained significant even adjusting for age. With older age, there was a significant, progressive decrease in QUICKI (p = 0.01) and an increase in ln (HOMA-IR) (p = 0.02) S/P Fontan. Analysis excluding Fontan patients with obesity still showed a significant reduction of QUICKI and an elevation of ln (HOMA-IR) in Fontan patients compared to controls when adjusting for age (both p < 0.05). Using QUICKI, IR was present in 41 (69.5%) Fontan patients vs. 3 (10%) controls (p < 0.0001) and using HOMA-IR, IR was present in 32 (54.2%) vs 5 (16.7%) controls (p = 0.001). Fontan patients had significantly more IR compared to controls and the prevalence of IR increases with age. Since IR is known to correlate with long-term morbidity and mortality and can be ameliorated by therapies, we believe it is critical that IR be identified as early as possible in Fontan patients.

Selection of the minimum data set and quantitative soil quality indices for different azalea forest communities in southwestern China

Selection of the minimum data set and quantitative soil quality indices for different azalea forest communities in southwestern China

Associations of inflammation related prenatal adversities with neurodevelopment of offspring in one year: a longitudinal prospective birth cohort study

BackgroundThe recent Maternal Immune Activation (MIA) theory suggests maternal systemic inflammation may serve as a mediator in associations between prenatal maternal adversities and neurodevelopmental diseases in offspring. Given the co-exposure to multiple adversities may be experienced by pregnant person, it is unclear whether a quantitative index can be developed to characterize the inflammation related exposure level, and whether this index is associated with neurodevelopmental delays in offspring.MethodsBased on Jiangsu Birth Cohort (JBC), a total of 3051 infants were included in the analysis. Inflammation related Prenatal Adversity Index (IPAI) was constructed using maternal data. Neurodevelopmental outcomes were assessed using the Bayley Scales of Infant and Toddler Development, third edition, screening test in one year. Multivariate linear regression and Poisson regression model were performed to analyze the associations between IPAI and neurodevelopment in offspring.ResultsCompared with “low IPAI” group, offspring with “high IPAI” have lower scores of cognition, receptive communication, expressive communication, and fine motor. The adjusted β were − 0.23 (95%CI: -0.42, -0.04), -0.47 (95%CI: -0.66, -0.28), -0.30 (95%CI: -0.49, -0.11), and − 0.20 (95%CI: -0.33, -0.06). Additionally, the elevated risk for noncompetent development of cognition and receptive communication among “high IPAI” group was observed. The relative risk [RR] and 95% confidence interval [CI] were 1.35 (1.01, 1.69) and 1.37 (1.09, 1.72).ConclusionsOur results revealed a significant association between higher IPAI and lower scores across cognition, receptive communication, expressive communication, and fine motor domains, and an increased risk of noncompetent development in the cognition and receptive communication domains.