Opposite Trajectories Research Articles

Communists and Black liberation movements: divergent trajectories in the United States and South Africa, 1939–1969

Abstract In the 1920s, the Moscow-based Comintern began to promote a Black Communist movement, with specific emphasis on the United States and South Africa. Despite this common point of departure, the United States and South African Communist parties followed opposite trajectories. By the mid-20th century, the former dwindled as it grew increasingly detached from Black movements, while the latter developed a close relationship with the African National Congress, setting the stage for the party’s explosive growth in the post-apartheid period. To explain this divergence, we focus on what we call movement politics: the dynamic interaction among movements as they pursue particular political orientations and strategies. In the instances examined here, movement politics takes the form of a triangular relationship among three sets of actors: the international Communist movement, Black movements, and national Communist parties. We examine this dynamic interaction in two key conjunctures: first, during World War II, when loyalty to the Soviet Union proved to be an asset for the CPSA and a liability for the CPUSA; and second, during the Cold War, when South African Communists and Black movements converged on a politics of national liberation, while in the United States, Black movements turned to Third World liberation or anti-Communism as two alternatives to the CPUSA. These divergent trajectories reveal the period considered here, 1939 to 1969, as a critical juncture when American Communists became alienated from Black movements, while their counterparts in South Africa developed a lasting alliance with Black movements that persists to this day.

Media, culture and popular geopolitics: how imagined spaces and identities are forged

The article discusses the origins, the state-of-the-art and prospects of the new research field within critical geopolitics - popular geopolitics. The article aims to summarize the basic premises of popular geopolitics and demonstrate its relevance for analyzing, predicting and modeling modern geopolitical processes. Popular geopolitics focuses on geopolitical narratives that are translated through mediated images and objectified through mass culture products. It is precisely through popular culture, in particular through pop culture narratives that cross-cultural communication of the globalization era occurs. As part of this process cultural differences are either perceived as markers of otherness or, on the contrary, enable the consumer/spectator to reconsider the “self-other” boundaries and let the culturally attractive “others” in. As for geopolitical narratives, they introduce a clear demarcation between “self” and “others” by assigning to them opposite developmental trajectories that symbolize progress or backwardness, rise or decline, expansion or isolation. The authors of the article argue that a transmedia approach could make a valuable contribution to popular geopolitics. On the one hand, it enables exploring the totality of meanings forged and transmitted over social and online media through visual and virtual communication channels. In addition, the analysis of transmedia storytelling allows us to investigate in depth the role of content creators and content consumers in the production of narratives as well as investigate different ways in which official geopolitical narratives can be perceived by both domestic and external audiences. It is also argued that employing mixed methodology that combines qualitative and automated quantitative methods of textual and audiovisual data collection and analysis can help realize the interdisciplinarity of popular geopolitics. Thus, the authors come to the conclusion that popular geopolitics as a research field is relevant in terms of updating the research agenda of political science as a whole. As for the practical relevance of popular geopolitics, it lies in the active reconstruction of social reality that enables the representatives of Russian practical geopolitics to forge more effectively the national “imagined world” capable of engaging in a dialogue and resisting transnational narratives.

Examination of Postoperative Changes in Lipid Profile and Glycemic Markers After Coronary Artery Bypass Graft, Percutaneous Intervention Vs Aortic Valve Replacement Demonstrated a Shift in Risk Factors for Coronary Artery Disease.

Surgery-related stress may affect the metabolome, leading to abnormal lipid profiles and ineffective glycemic control. Here, we gauge these changes as they may accelerate atherosclerosis, limiting the benefits of interventions aimed at improving coronary artery disease (CAD) progression. Electronic medical records were queried to identify patients undergoing coronary artery bypass grafting (CABG), percutaneous coronary intervention (PCI), or aortic valve replacement (AVR). 7573 records denoted lipid profile (cholesterol, LDL, HDL, VLDL, triglycerides) and glucose metabolism impairment (HbA1c). Pre-procedure lipid and glucose laboratory values were compared with periods representing acute periprocedural inflammation (1-3 months), resolution of acute inflammation (3-6 months), convalescence (6-12 months), and medium- (1-2 years), and long-term periods (2-5 years). Baseline values differed between groups (AVR: Cholesterol↑↓, LDL↓↑, HDL↓, Triglycerides↑, HbA1c↓; CABG: Cholesterol↓, LDL↓, HDL↓, Triglycerides↓, HbA1c↓; PCI: Cholesterol↑↓, LDL↑↓, HDL↑↓, Triglycerides↓, HbA1c↓). Interestingly, total cholesterol and LDL had opposite trajectories after CABG vs AVR even five years after surgical procedure and the effects were moderate as denoted by d-Cohen statistics. HDL declined acutely after CABG and AVR but not after PCI. Triglycerides were elevated for 2 years after AVR but depressed after CABG and PCI. HbA1c remained depressed for up to 5 years after any studied procedure. Our data suggest surgical procedures result in prolonged lipid profile and glycemic metabolism disturbances, particularly after aortic valve replacement, indicating more aggressive post-surgical treatment of these metabolic abnormalities may be warranted.

Comprehensive evaluation of CCUS technology: A case study of China's first million-tonne CCUS-EOR project

CCUS, an emerging technology for reducing carbon emission, plays a crucial role in achieving the goal of carbon neutrality. CCUS technology exemplified by CO2 enhanced oil recovery (EOR) is gradually progressing from project demonstration to large-scale application. However, the commercial application still faces uncertainties in economic cost, energy efficiency and environmental benefits. This paper takes China's first million-tonne CCUS-EOR project (Qilu Petrochemical-Shengli Oilfield CCUS-EOR project) as an example, and establishes a comprehensive research framework for evaluating CCUS from the three dimensions of energy, environment, and economy, based on economic viability, energy input-output analysis, and carbon input-output analysis. The results demonstrate that during the project lifecycle, when the average oil price is $90/bbl, the project's NPV is $56.09 million, the project's IRR is 13.4 %, the payback period is 8.34 years, and the threshold oil price for the project to be economically profitable is $81.52/bbl. Furthermore, the Energy Return on Investment (EROI) of the project is 9.09, which considerably superior to that of the Shengli Oilfield's non-EOR, and the net energy output is approximately 18,472.57 kilobarrels. The Carbon Return on Investment (CROI) of the project is 4.12, with significant environmental benefits, and the cumulative net carbon emission reduction is approximately 8078.55 kilotonnes. Furthermore, the trends in EROI and CROI of the CCUS-EOR project demonstrate nearly opposite trajectories. The variation trends in EROI emerge N-shaped curve, while that of CROI emerge S-shaped curve. In summary, the Qilu Petrochemical-Shengli Oilfield CCUS-EOR project exhibits notable advantages in terms of energy efficiency and environmental benefits. However, the threshold oil price for triggering economic profitability is relatively high, which may pose certain economic risks to investors during periods of low oil price.

Cysteine Enrichment Mediates Co-Option of Uricase in Reptilian Skin and Transition to Uricotelism.

Uric acid is the main means of nitrogen excretion in uricotelic vertebrates (birds and reptiles) and the end product of purine catabolism in humans and a few other mammals. While uricase is inactivated in mammals unable to degrade urate, the presence of orthologous genes without inactivating mutations in avian and reptilian genomes is unexplained. Here we show that the Gallus gallus gene we name cysteine-rich urate oxidase (CRUOX) encodes a functional protein representing a unique case of cysteine enrichment in the evolution of vertebrate orthologous genes. CRUOX retains the ability to catalyze urate oxidation to hydrogen peroxide and 5-hydroxyisourate (HIU), albeit with a 100-fold reduced efficiency. However, differently from all uricases hitherto characterized, it can also facilitate urate regeneration from HIU, a catalytic property that we propose depends on its enrichment in cysteine residues. X-ray structural analysis highlights differences in the active site compared to known orthologs and suggests a mechanism for cysteine-mediated self-aggregation under H2O2-oxidative conditions. Cysteine enrichment was concurrent with the transition to uricotelism and a shift in gene expression from the liver to the skin where CRUOX is co-expressed with β-keratins. Therefore, the loss of urate degradation in amniotes has followed opposite evolutionary trajectories: while uricase has been eliminated by pseudogenization in some mammals, it has been repurposed as a redox-sensitive enzyme in the reptilian skin.

Single-cell RNA sequencing reveals the mediatory role of cancer-associated fibroblast PTN in hepatitis B virus cirrhosis-HCC progression

BackgroundCancer-associated fibroblasts (CAFs) are essential stromal components in the tumor microenvironment of hepatocellular carcinoma (HCC). Hepatitis B virus (HBV) infection induces pathological changes such as liver fibrosis/cirrhosis and HCC. The aim of this research was to explore the novel mediators of CAFs to modulate HBV cirrhosis-HCC progression.MethodsThe single-cell transcriptome data of HCC were divided into subsets, and the significant subset related to fibrotic cells, along with biological function, and clinical information of HCC was revealed by integrated data analyses. The cell communication, cells communicated weight analysis of signaling pathways, and key genes in signaling pathways analysis of significant CAFs subclasses were conducted to discover the novel gene of CAFs. Bioinformatics, vitro and HBV transfection assays were used to verify the novel gene is an important target for promoting the progression HBV cirrhosis-HCC progression.ResultsFibroblasts derived from HCC single-cell data could be separated into three cell subclasses (CAF0-2), of which CAF2 was associated with the HCC clinical information. Fibroblasts have opposite developmental trajectories to immune B cells and CD8 + T cells. CAF0-2 had strong interaction with B cells and CD8 + T cells, especially CAF2 had the highest interaction frequency and weight with B cells and CD8 + T cells. Moreover, PTN participated in CAF2-related pathways involved in the regulation of cell communication, and the interactions among CAF2 and PTN contributed the most to B cells and CD8 + T cells. Furthermore, the genes of PTN, SDC1, and NCL from PTN signaling were highest expression in CAF2, B cells, and CD8 + T cells, respectively, and the interaction of PTN- SDC1 and PTN- NCL contributed most to the interaction of CAF2- B cells and CAF2-CD8 + T cells. Bioinformatics and vitro experiments confirm PTN was upregulated in HCC and promoted the proliferation of tumor cells, and HBV infection could initiate PTN to perform cirrhosis-HCC progression.ConclusionOur findings revealed CAF was associated with hepatocarcinogenesis, and the functional importance of B cells and CD8 + T cells in modulating CAF in HCC. Importantly, PTN maybe a novel mediator of CAF to mediate HBV cirrhosis-HCC progression.

Star shape interferometer with reduced vibration sensitivity

An optical interferometer has a high sensitivity to displacements of the mirrors and other optical elements, something that becomes a source of fluctuations in situations where one is only interested in the phase change due to a sample inserted in one of the paths. A Sagnac interferometer minimizes this sensitivity by having the two beams follow opposite trajectories, so that a mirror displacement gives a similar phase change for both paths, but makes it impossible to insert an element that affects only one path. We present a new kind of interferometer, the Star interferometer, where the two beams still interact with all the optical elements while having different trajectories. We obtain a common phase change in both trajectories by having a different number of turns for each path. Having independent access to both trajectories makes it possible to determine the phase change due to a sample inserted in one of the paths, opening new possibilities for interferometric configurations that maintain a reduced sensitivity to displacements of the optical elements.

How do tree density and body size influence acoustic signals in Amazonian nurse frogs?

ABSTRACT The Acoustic Adaptation Hypothesis (AAH) predicts that acoustic signals emitted at sites with greater vegetation density should have spectral and temporal characteristics that increase signal transmission, but there is a pleiotropism related to body size: large animals produce signals with lower frequency. We used 238 advertisement calls of 34 populations of Amazonian nurse frogs from two Amazonian rainforests with different vegetation density to test if tree density influences the evolution of acoustic parameters. We used PGLS to test for relationships between acoustic traits and phenotypic, environmental and geographic predictors. Spectral and temporal features of calls have an allometric relationship with body size. We found a novel quadratic relationship between note duration and body size. The allometric relationship between dominant frequency and body size and a direct effect of tree density indicates that the evolutionary trajectories of Amazonian nurse frogs follow a general macro-evolutionary pattern as in birds. The temporal features of calls have opposite evolutionary trajectories to those predicted by AAH; frogs from lower tree density environments emit longer notes and have higher note rates than those from denser-tree environments. Subtle differences between Amazonian forest types can drive acoustic diversification of temporal and spectral features of calls at micro-evolutionary scales.

Fixed-Time Bipartite Containment Control of High-Order Multi-Agent Systems in the Signed Graph

The fixed-time bipartite containment control for high-order multi-agent systems (MASs) with disturbances is discussed in directed signed graph. The proposed control algorithm guarantees that the trajectories of followers converge into the time-varying geometric space spanned by trajectories of leaders and their opposite trajectories. The settling time is mathematically proved to be dependent only on parameters and independent on the system initial value. On the basis of norm inequality, stability theory and other mathematical analysis, the sufficient condition is given to reach the bipartite containment control. The correctness and efficiency of theoretical results are confirmed via the example.

Species-Specific Spatial Patterns of Variation in Sexual Dimorphism by Two Lizards Settled in the Same Geographic Context.

The evolution of sexual dimorphism (SD) results from intricate interactions between sexual and natural selections. Sexually selected traits are expected to depend on individual condition, while natural selected traits should not be. Islands offer an ideal context to test how these drivers interact with one another, as the size is a reliable proxy for resource availability. Here, we analysed SD in body size (snout-vent length) and head shape (assessed by geometric morphometric) in two species of lizards (Podarcis muralis and P. siculus) inhabiting the Tuscan archipelago (Central Italy). We found a strong SD variation among islands in both species. Furthermore, in P. muralis emerged some significant correlations between SD and island size, supporting the occurrence of possible effects of individual condition on SD. By contrast, SD in P. siculus followed opposite trajectories than in P. muralis, suggesting that in this species, natural selection could play a major role as a driver of SD. Our findings show that natural and sexual selection can interact in complex ways, and the responses are species-specific. Therefore, spatial patterns of variation in SD may strongly differ among species, even when they settle in the same geographic contest.

Habitat and trophic niche overlap among juvenile black sea bass, tautog, and cunner: interspecific interactions amid a species geographic range expansion

Juvenile black sea bass Centropristis striata populations are increasing in southern New England estuaries of the northeastern USA with possible trophodynamic effects on labrid species: tautog Tautoga onitis and cunner Tautogolabrus adspersus. In this study, we examined the abundance, size-structure, and feeding ecology of juvenile sea bass and labrids in Narragansett Bay (Rhode Island, USA) from June to October in 2018 and 2019 and evaluated potential interspecific competition using habitat, diet, and isotopic niche overlap indices. Juveniles (age-0+) of each fish species spatiotemporally co-occurred in shallow, polyhaline habitats throughout the estuary. Age-0 cohorts were numerically dominant across species and initially recruited to the study area in July (minimum total length, TL = 15-20 mm), reached peak abundances in mid- to late summer (maximum abundances = 12-140 fish 100 m-2), and emigrated from field sites in October (maximum TL = 85-96 mm). Stomach content and stable isotope (δ15N and δ13C) analyses determined that focal fishes were generalist carnivores that foraged in bentho-pelagic food webs. Fishes also overlapped in their respective ambit and core isotopic niche space, but interspecific dietary overlap was size-dependent. Dietary overlap was most pronounced between sea bass ≤49 mm TL and labrids ≤59 mm TL due to their mutual reliance on gammarid and caprellid amphipods. Ontogenetic dietary shifts then resulted in food niche segregation, such that sea bass 50-139 mm TL consumed decapod crustaceans and fish, whereas labrids 60-181 mm TL mainly fed on amphipods, worms, bivalves, and turf-associated biota, i.e. bryozoans, hydroids, and seaweeds. Habitat and trophic niche overlap between early juvenile sea bass and labrids purportedly have not caused opposite population trajectories or food resource limitation in Narragansett Bay, indicating an absence of exploitative competition. Alternatively, realized competition between species may be too spatiotemporally restricted to alter their population dynamics. Continuous monitoring of the sea bass’s bio-ecological effects in southern New England estuaries is warranted, however, given their recent range expansion and increasing abundances at northern latitudes.

The interpretation of computational model parameters depends on the context.

Reinforcement Learning (RL) models have revolutionized the cognitive and brain sciences, promising to explain behavior from simple conditioning to complex problem solving, to shed light on developmental and individual differences, and to anchor cognitive processes in specific brain mechanisms. However, the RL literature increasingly reveals contradictory results, which might cast doubt on these claims. We hypothesized that many contradictions arise from two commonly-held assumptions about computational model parameters that are actually often invalid: That parameters generalize between contexts (e.g. tasks, models) and that they capture interpretable (i.e. unique, distinctive) neurocognitive processes. To test this, we asked 291 participants aged 8-30 years to complete three learning tasks in one experimental session, and fitted RL models to each. We found that some parameters (exploration / decision noise) showed significant generalization: they followed similar developmental trajectories, and were reciprocally predictive between tasks. Still, generalization was significantly below the methodological ceiling. Furthermore, other parameters (learning rates, forgetting) did not show evidence of generalization, and sometimes even opposite developmental trajectories. Interpretability was low for all parameters. We conclude that the systematic study of context factors (e.g. reward stochasticity; task volatility) will be necessary to enhance the generalizability and interpretability of computational cognitive models.

Extreme methane clumped isotopologue bio-signatures of aerobic and anaerobic methanotrophy: Insights from the Lake Pavin and the Black Sea sediments

Microbial methane oxidation - or methanotrophy - is a key control of the global methane budget on Earth, and perhaps in other planetary systems. Here, we explore the potential role of mass-18 isotopologues of methane, expressed as Δ13CH3D and Δ12CH2D2 values, in tracking both aerobic and anaerobic methanotrophy in nature. We examine two well documented methanotrophic environments: the Lake Pavin (France) water column, where methane degradation is dominated by aerobic methanotrophy (AeOM), and the Black Sea sediments (offshore Romania), dominated by anaerobic methanotrophy (AOM) coupled to sulfate-reduction. In both settings, lighter isotopologues are preferentially consumed, generating elevated 13CH4/12CH4, 12CH3D/12CH4, 13CH3D/12CH4 and 12CH2D2/12CH4 ratios. This results in increasing of δ13C and δD values in the residual methane for both settings, as observed commonly in systems dominated by methanotrophy. As a result, AeOM and AOM cannot be easily distinguished by the development of δ13C and δD. In contrast, the Δ13CH3D and Δ12CH2D2 (departure from stochastic) values have opposite trajectories, with minimal decreases in the case of the AeOM-dominated system, but dramatic increases in the case of AOM, with Δ13CH3D and Δ12CH2D2 reaching values as high as 15.7 ‰ and 76.6 ‰, respectively. This contrasting behavior of clumped isotopologues signatures illustrates fundamental distinction between the two processes and the way they segregate methane isotopologues. These data demonstrate that both AeOM and AOM have distinctive kinetic isotope effects in natural settings, consistent with preliminary laboratory work. In particular, we find that γ-values (which measure the deviation to the product of ‘normal’ bulk isotope fractionation factors) are close to unity in the case of AeOM (i.e. a negligible clumped isotope effect), but significantly below unity in the case of AOM (i.e. strong clumped isotope effect). In addition, our data also illustrate how AOM under low-sulfate conditions may promote methane isotopologue equilibration. Taken together, we suggest these data and apparent isotopologue fractionation factors extrapolated from these two environments may help refine the potential bio-signatures of methane affected by methanotrophy.

Monitoring the use of a canopy bridge and underpasses by arboreal mammals on a Brazilian coastal road

Abstract Roads disrupt the canopy and can affect arboreal animals in different ways, such as reducing canopy connectivity, generating habitat loss and degradation, and increasing direct mortality. Since arboreal animals mainly use the canopy for movement, mitigation measures for these species usually focus on maintaining or restoring canopy connectivity to guarantee safe crossings. Here we present a case study of a Brazilian coastal road (ES-060) for which we described the use of a canopy bridge and multiple underpasses by three arboreal mammal species and compared these data with roadkill records of the same species in the vicinity of the crossing structures. Our study includes a 75 m long steel cable canopy bridge, monitored for 3 years, and clusters of different types of underpasses, monitored for 16 years. The use of the crossing structures was monitored with sand track beds installed at entrances on both sides, and roadkill surveys were conducted daily for 16 years. We considered a crossing to be successful if tracks of the same species were recorded on either side of a structure and showed opposite movement trajectories. The canopy bridge survey resulted in an observed rate of 0.16 crossings/month for Callithrix geoffroyi, 7.79 for Coendou insidiosus, and 0.46 for Didelphis aurita, and all types of underpasses combined demonstrated a rate of 0.33, 1.94, and 8.43 crossings/month for each species, respectively. The roadkill surveys resulted in an observed rate of 1.41, 0.78, 2.94 roadkills/month for Callithrix geoffroyi, Coendou insidiosus, and Didelphis aurita, respectively. Even with mitigation structures confirmed to be used by these three species, roadkill hotspots occurred in the road sections with the crossing structures. Our study demonstrated the use of a canopy bridge and different types of underpasses by arboreal mammal species. The canopy bridge was mostly used by Coendou insidiosus, while the underpasses were mainly used by Didelphis aurita. As roadkill hotspots occurred red in the same segments where mitigation crossing structures were installed, our results indicate that some important improvements are needed to mitigate roadkills of arboreal mammals in this area, mainly preventing that these species access the road. We present recommendations for a research agenda to support mitigation planning for arboreal mammals, namely: (1) testing the efficiency of different canopy bridge designs for multispecies mitigation, (2) testing the use of connecting structures, such as ropes that connect to the surrounding forest, to encourage underpass use by arboreal species, and (3) testing fence adaptations to block the access of arboreal mammals to roads.

Trajectories of borderline features in adolescents: A three-wave longitudinal study testing the effect of gender and self-disgust over 12 months

Recent research has emphasised the need to study the development of borderline features in adolescents prospectively. Self-disgust is feeling repugnance for aspects of the self and studies have supported its association with borderline features. This study aimed to identify different trajectories of the development of borderline features in adolescents over 12 months and test the longitudinal impact of self-disgust and gender. Participants were 158 adolescents (n = 110 girls) with a mean of 15.44 years (SD = 0.79), assessed in three moments with a six-month interval. Gender differences were found on borderline features and similar stable trajectories were exhibited for the total sample, boys and girls. Adolescents with higher and lower borderline features presented opposite trajectories: while the lower group decreased borderline features over time, the higher group increased. A latent growth model with the total sample revealed heterogeneity in basal levels and a relatively homogeneity on growth rates of borderline features. Self-disgust feelings presented a significant effect on basal levels and growth rates indicating that it might influence the developmental trajectory of borderline features. These findings highlight the importance to address self-disgust when dealing with borderline features in youth since it seems to be a risk factor.

Revisiting the Past: Replicability of a Historic Long-Term Vegetation Dynamics Assessment in the Era of Big Data Analytics

Open and analysis-ready data, as well as methodological and technical advancements have resulted in an unprecedented capability for observing the Earth’s land surfaces. Over 10 years ago, Landsat time series analyses were inevitably limited to a few expensive images from carefully selected acquisition dates. Yet, such a static selection may have introduced uncertainties when spatial or inter-annual variability in seasonal vegetation growth were large. As seminal pre-open-data-era papers are still heavily cited, variations of their workflows are still widely used, too. Thus, here we quantitatively assessed the level of agreement between an approach using carefully selected images and a state-of-the-art analysis that uses all available images. We reproduced a representative case study from the year 2003 that for the first time used annual Landsat time series to assess long-term vegetation dynamics in a semi-arid Mediterranean ecosystem in Crete, Greece. We replicated this assessment using all available data paired with a time series method based on land surface phenology metrics. Results differed fundamentally because the volatile timing of statically selected images relative to the phenological cycle introduced systematic uncertainty. We further applied lessons learned to arrive at a more nuanced and information-enriched vegetation dynamics description by decomposing vegetation cover into woody and herbaceous components, followed by a syndrome-based classification of change and trend parameters. This allowed for a more reliable interpretation of vegetation changes and even permitted us to disentangle certain land-use change processes with opposite trajectories in the vegetation components that were not observable when solely analyzing total vegetation cover. The long-term budget of net cover change revealed that vegetation cover of both components has increased at large and that this process was mainly driven by gradual processes. We conclude that study designs based on static image selection strategies should be critically evaluated in the light of current data availability, analytical capabilities, and with regards to the ecosystem under investigation. We recommend using all available data and taking advantage of phenology-based approaches that remove the selection bias and hence reduce uncertainties in results.

Prediction and measurement of leaky dielectric drop interactions

The electrohydrodynamic interactions between multiple and dissimilar drops are measured experimentally, and a pairwise electrohydrodynamic theory to describe the drop interactions is presented. The trajectories of three and four interacting drops are shown to be qualitatevly predicted by the theory. Drops with distinct electrical properties exhibit nonreciprocal interactions, and the same drop pair can undergo opposite trajectories with different initial separation distances.

The case for life expectancy at age 60 as a prominent health indicator. A comparative analysis

<abstract> <p>The aim of this paper is to argue the case of using life expectancy at age 60 (LE60) as a significant health indicator closely related to sustainable economic development. To this purpose, we investigate the impact of GDP on LE60 in parallel with the impact of GDP on Infant Mortality Rate (IMR). The rationale for selecting IMR as a comparison indicator is twofold. First, the relationship between IMR and GDP has been widely studied. Second, the two indicators display opposite trajectories, making the comparison more striking. For our comparison, we conduct several statistical analyses on LE60, IMR and GDP using global country data grouped by income level and region. Our results endorse the effect of GDP on LE60 and IMR and suggest a differentiation of the effect based on region and ultimately on income. We observe that as countries develop, their IMR values lower and their LE60 values increase. We conclude that, once countries reach the upper stages of development, LE60 becomes a better health indicator than IMR.</p> </abstract>

Atypicalities in the developmental trajectory of cortico-striatal functional connectivity in autism spectrum disorder.

Autism spectrum disorder has long been conceptualized as a disorder of "atypical development of functional brain connectivity (which refers to correlations in activity levels of distant brain regions)." However, most of the research has focused on the connectivity between cortical regions, and much remains unknown about the developmental changes of functional connectivity between subcortical and cortical areas in autism spectrum disorder. We used the technique of resting-state functional magnetic resonance imaging to explore the developmental characteristics of intrinsic functional connectivity (functional brain connectivity when people are asked not to do anything) between subcortical and cortical regions in individuals with and without autism spectrum disorder aged 6-30 years. We focused on one important subcortical structure called striatum, which has roles in motor, cognitive, and affective processes. We found that cortico-striatal intrinsic functional connectivities showed opposite developmental trajectories in autism spectrum disorder and typically developing individuals, with connectivity increasing with age in autism spectrum disorder and decreasing or constant in typically developing individuals. We also found significant negative behavioral correlations between those atypical cortico-striatal intrinsic functional connectivities and autistic symptoms, such as social-communication deficits, and restricted/repetitive behaviors and interests. Taken together, this work highlights that the atypical development of cortico-subcortical functional connectivity might be largely involved in the neuropathological mechanisms of autism spectrum disorder.

Identifying and characterizing high-risk clusters in a heterogeneous ICU population with deep embedded clustering

Critically ill patients constitute a highly heterogeneous population, with seemingly distinct patients having similar outcomes, and patients with the same admission diagnosis having opposite clinical trajectories. We aimed to develop a machine learning methodology that identifies and provides better characterization of patient clusters at high risk of mortality and kidney injury. We analysed prospectively collected data including co-morbidities, clinical examination, and laboratory parameters from a minimally-selected population of 743 patients admitted to the ICU of a Dutch hospital between 2015 and 2017. We compared four clustering methodologies and trained a classifier to predict and validate cluster membership. The contribution of different variables to the predicted cluster membership was assessed using SHapley Additive exPlanations values. We found that deep embedded clustering yielded better results compared to the traditional clustering algorithms. The best cluster configuration was achieved for 6 clusters. All clusters were clinically recognizable, and differed in in-ICU, 30-day, and 90-day mortality, as well as incidence of acute kidney injury. We identified two high mortality risk clusters with at least 60%, 40%, and 30% increased. ICU, 30-day and 90-day mortality, and a low risk cluster with 25–56% lower mortality risk. This machine learning methodology combining deep embedded clustering and variable importance analysis, which we made publicly available, is a possible solution to challenges previously encountered by clustering analyses in heterogeneous patient populations and may help improve the characterization of risk groups in critical care.