Age Patterns Research Articles

Reexamining the causes of age patterns in Black-White birth weight disparities: Evidence from U.S. cohorts

Black-White disparities in low birth weight (LBW) rise with maternal age. Why? The “weathering hypothesis” holds that the increasing disparity is due to the accumulation of adverse exposures leading to accelerated aging among Black compared to White mothers. Using US birth certificate data covering millions of births to successive cohorts of US women, this paper finds two sets of results that complicate this theory. Descriptively, I find that Black-White LBW disparities increase with age for some cohorts but not others. More causally, analyses exploiting a plausibly exogenous policy shock show that the effects of reducing adverse exposures were larger for older compared to younger mothers. This evidence points toward an alternative or complementary hypothesis: that LBW risks are more responsive to adverse exposures at older maternal ages than at younger ages. Emphasizing this pathway -- what I call “responsiveness” -- as opposed to accumulation has important implications for both research and policy.

A Carboniferous to Permian tectono-paleogeographic reconstruction for the southernmost Central Asian Orogenic Belt

The Central Asian Orogenic Belt was formed by the subduction to closure of the Paleo-Asian Ocean (PAO). However, it is highly controversial about the closing time of the PAO, especially its middle segment in the northern Alxa orogenic belt (NAOB). In this study, the new and published zircon U–Pb and Hf data for the Carboniferous to Permian sediments across the NAOB have been integrated to reply the above problem. The depositional ages have been constrained as the Carboniferous to Permian by the detrital zircon ages, fossil assemblages and stratigraphic correlation. The Carboniferous sandstones are dominated by the Paleozoic zircons (mainly around 380–510 Ma) with a few Precambrian zircons. The late Cambrian to early Carboniferous zircons with positive to slightly negative εHf(t) values were probably sourced from the orogen itself. The early Paleozoic zircons with slightly to extremely negative εHf(t) values and the late Archean to Paleoproterozoic zircons were likely derived from the surrounding cratonic blocks in the south. For the Permian samples, the Carboniferous to Permian age signal is enhanced. The Permian zircons yield similar age peaks around 278–279 Ma and similar εHf(t) values, and thus shared a similar source. Thus, the Carboniferous to Permian sediments received detritus across the PAO, indicating the closure of the PAO. Subsequently, the NAOB entered into an extensional setting based on the detrital zircon age patterns, rift-related volcanic rocks and basin analysis. Finally, a tectono-paleogeographic reconstruction from the Carboniferous relic sea and marine transgression to Permian marine regression-transgression-regression with crustal extension was proposed.

Longitudinal changes in coping strategies across midlife and older adulthood: findings from the midlife in the United States study.

Most studies examining age differences in coping across adulthood come from cross-sectional studies and focus on the broader categories of problem- and emotion-focused coping. We aimed to establish a factor structure for coping items used in a national, longitudinal study of aging (MIDUS) and examine age patterns in coping strategies over 10 years. We performed exploratory and confirmatory factor analysis, and factorial invariance testing. Next we conducted a series of multilevel models for each coping factor with participants from waves II and III of the MIDUS study (N = 2,661, Mage = 55, 58% women, 84% White). We found a four-factor solution: instrumental action; denial/disengagement; positive reappraisal; focus and venting of emotions. Invariance was established across time and age. At baseline, age was positively associated with the use of three strategies, though younger adults used more focus and venting of emotions. There was an overall decrease over 10 years in use of all strategies, which was moderated by age. Positive reappraisal declined more steeply among midlife participants, whereas the remaining strategies declined more for older participants. Results highlight the multi-dimensionality of MIDUS coping items and underscores the import of age in understanding changes in coping across midlife and older adulthood.

Natural aging behavior and lifetime prediction of rubber latex foam with various natural-to-synthetic ratios

Rubber latex foam (RLF) is a low-density, three-dimensional porous material that is susceptible to aging factors such as oxygen, heat, and light, leading to a loss of its excellent performance. This study conducted natural aging tests of the RLF with various proportions. The experimental conditions were divided into two categories: with and without fabric covering to better simulate the actual usage conditions. Subsequently, the performance of the RLF were conducted before and after aging, investigating the natural aging patterns of the RLF, and the influence of fabric covering conditions on aging. The results indicated that RLF with low N/R ratios has better aging resistance, and during natural aging, the N/R ratio did not show a significant relationship with the aging rate of the samples. From a microscopic perspective, samples covered with fabric maintain a more intact porous structure compared to those without fabric covering. In the process of thermo-oxidative aging, all samples underwent oxidation reactions. Finally, using the yellowness index as an evaluation criterion, the storage life of RLF was predicted by the variable activation energy method, and the quality and safety in actual production were further determined.

Drug-Induced Sleep Endoscopy Predicts Subjective Outcomes of Adenotonsillectomy.

Persistent obstructive sleep apnea (OSA) after adenotonsillectomy (AT) has been reported in 20%-30% of children. The aim of this study was to determine the predictive value of drug-induced sleep endoscopy (DISE) at the time of AT on subjective AT outcomes. This was a prospective cohort study of children aged 2-18 years being treated with AT for sleep disordered breathing (SDB) with one or more risk factors for AT failure: age >7 years, obesity, severe baseline OSA, Black race. All underwent DISE at the time of AT. Potential predictors of subjective AT outcome included age, sex, obesity, and DISE patterns. Multivariable linear regression was used to model predictors of post-AT Pediatric Sleep Questionnaire (PSQ) and OSA-18 outcomes. Pre- and post-AT PSQ/OSA-18 responses were available from 194 children. Mean age was 9.3 ± 3.5 years, with 59% obese, 50% female, and 67% White. After AT, mean PSQ score decreased from 0.60 ± 0.19 to 0.28 ± 0.22, p < 0.001 and mean OSA-18 score decreased from 66 ± 21 to 37 ± 18, p < 0.001. The most frequent sites of obstruction were the tonsils (92%), nasal airway (77%), adenoids (64%), and velopharynx (65%). Multivariable regression modeling demonstrated worse outcomes with obesity, male gender, and multilevel obstruction that included the nasal airway and tongue base in addition to adenotonsillar obstruction. Persistent OSA and symptom burden after AT was common in this population. Obesity, male gender, and multilevel obstruction during DISE were all associated with worse subjective outcomes. 3 Laryngoscope, 2024.

Midpalatal Suture Maturation in Relation to Age, Sex, and Facial Skeletal Growth Patterns: A CBCT Study.

The evaluation of midpalatal suture maturation is essential to undertake the most predictable maxillary expansion approach. Several factors, such as age, gender, and facial growth patterns, seem to be involved in midpalatal suture staging and, consequently, in its opening; however, the link between these variables and the stages of midpalatal suture development remains poorly understood. Our study aimed to analyse the midpalatal suture maturation in relation to age, sex, and skeletal growth patterns by CBCT. We enrolled 263 patients (119 males and 144 females) aged from 8 to 20 years. The midpalatal suture maturation was defined according to Angelieri et al.'s classification using a low-dose CBCT. The chi-square test and linear regression were applied to investigate the suture stages by age, sex, and vertical and sagittal growth patterns. Stage A was present in 8- and 9-year-olds with a larger prevalence in boys, while the prevalence of stage E increased progressively with age. Stage D was the most prevalent in our sample. The statistical analysis described that stage A was more likely in the youngest subjects, and stage E in the oldest participants. The males tended to have lower maturation stages. Moreover, the hypodivergent and normodivergent subjects tended to have higher maturation stages, while Class III was more likely in subjects in stages D or E. A total of 127 patients were in stages A, B, and C, showing an unfused suture. In young individuals, the opening of the midpalatal suture leads to a proper facial growth development by correcting the transverse superior hypoplasia. The midpalatal sutural maturation classification was related to age, sex, and divergence.

Behavioral plasticity shapes population aging patterns in a long-lived avian scavenger

Studying the mechanisms shaping age-related changes in behavior ("behavioral aging") is important for understanding population dynamics in our changing world. Yet, studies that capture within-individual behavioral changes in wild populations of long-lived animals are still scarce. Here, we used a 15-y GPS-tracking dataset of a social obligate scavenger, the griffon vulture (Gyps fulvus), to investigate age-related changes in movement and social behaviors, and disentangle the role of behavioral plasticity and selective disappearance in shaping such patterns. We tracked 142 individuals for up to 12 y and found a nonlinear increase in site fidelity with age: a sharp increase in site fidelity before sexual maturity (<5 y old), stabilization during adulthood (6 to 15 y), and a further increase at old age (>15 y). This pattern resulted from individuals changing behavior throughout their life (behavioral plasticity) and not from selective disappearance. Mature vultures increased the predictability of their movement routines and spent more nights at the most popular roosting sites compared to younger individuals. Thus, adults likely have a competitive advantage over younger conspecifics. These changes in site fidelity and movement routines were mirrored in changes to social behavior. Older individuals interacted less with their associates (decreasing average strength with age), particularly during the breeding season. Our results reveal a variety of behavioral aging patterns in long-lived species and underscore the importance of behavioral plasticity in shaping such patterns. Comprehensive longitudinal studies are imperative for understanding how plasticity and selection shape the persistence of wild animal populations facing human-induced environmental changes.

BundleAGE: Predicting White Matter Age using Along-Tract Microstructural Profiles from Diffusion MRI.

Brain Age Gap Estimation (BrainAGE) is an estimate of the gap between a person's chronological age (CA) and a measure of their brain's 'biological age' (BA). This metric is often used as a marker of accelerated aging, albeit with some caveats. Age prediction models trained on brain structural and functional MRI have been employed to derive BrainAGE biomarkers, for predicting the risk of neurodegeneration. While voxel-based and along-tract microstructural maps from diffusion MRI have been used to study brain aging, no studies have evaluated along-tract microstructure for computing BrainAGE. In this study, we train machine learning models to predict a person's age using along-tract microstructural profiles from diffusion tensor imaging. We were able to demonstrate differential aging patterns across different white matter bundles and microstructural measures. The novel Bundle Age Gap Estimation (BundleAGE) biomarker shows potential in quantifying risk factors for neurodegenerative diseases and aging, while incorporating finer scale information throughout white matter bundles.

The Early Pretending Survey (EPS): A reliable parent-report measure of pretense type development for 4- to 47-month-olds

We present a new 18-item parent-report measure of pretense development for 4- to 47-month-olds: the Early Pretending Survey (EPS). Study 1 (N = 231) demonstrated good internal reliability, and a strongly correlated 2-factor structure for 4- to 47-month-olds. Study 2 (N = 587) also showed good internal reliability, and found the two factors loaded onto a latent second-order Pretend Play factor. Study 3 (N = 84) found the EPS correlated with a researcher-led pretense experiment, however it no longer correlated when controlling for age. Additional analyses using subsamples of parents from Studies 2 and 3 showed good inter-observer reliability between parents (N = 29), and good longitudinal stability after 6 months (N = 196). Additional analyses combining Study 1–3 participants (N ≤ 902) found no item functioning differences across demographic variables, including child age, country, and socio-economic factors. Children’s EPS scores increased as they aged; girls had higher scores than boys; and children of younger parents had higher scores. Finally, we examined the age patterns of each EPS item, demonstrating when 25 %, 50 %, and 75 % of children were predicted to pass each pretense type. The EPS is useful for researchers to better understand how pretending relates to other areas of development (e.g., cognition, language). The EPS could also help parents, early years educators, and children’s media professionals decide which pretense types to use with children of different ages.

Brain aging patterns in a large and diverse cohort of 49,482 individuals.

Brain aging process is influenced by various lifestyle, environmental and genetic factors, as well as by age-related and often coexisting pathologies. Magnetic resonance imaging and artificial intelligence methods have been instrumental in understanding neuroanatomical changes that occur during aging. Large, diverse population studies enable identifying comprehensive and representative brain change patterns resulting from distinct but overlapping pathological and biological factors, revealing intersections and heterogeneity in affected brain regions and clinical phenotypes. Herein, we leverage a state-of-the-art deep-representation learning method, Surreal-GAN, and present methodological advances and extensive experimental results elucidating brain aging heterogeneity in a cohort of 49,482 individuals from 11 studies. Five dominant patterns of brain atrophy were identified and quantified for each individual by respective measures, R-indices. Their associations with biomedical, lifestyle and genetic factors provide insights into the etiology of observed variances, suggesting their potential as brain endophenotypes for genetic and lifestyle risks. Furthermore, baseline R-indices predict disease progression and mortality, capturing early changes as supplementary prognostic markers. These R-indices establish a dimensional approach to measuring aging trajectories and related brain changes. They hold promise for precise diagnostics, especially at preclinical stages, facilitating personalized patient management and targeted clinical trial recruitment based on specific brain endophenotypic expression and prognosis.

Electrochemical and aging model of li-ion batteries and estimation of total number of cycles during the lifecycle of the battery

Fast charging is a critical factor for the widespread adoption of electric vehicles (EVs), yet it poses challenges to the durability of lithium-ion batteries (LiBs). This study develops an aging model for a 10 Ah LiB cell using COMSOL Multiphysics, integrating a one-dimensional electrochemical model with a zero-dimensional thermal model. The model is constructed using cell design and electrochemical parameters derived from existing literature, tailored to the specific electrode and electrolyte materials utilized in this study. Key aging phenomena, such as the Solid Electrolyte Interface (SEI) growth and lithium plating, are embedded within the model to simulate the aging patterns and the interplay between these factors across various C-rates and temperatures. Simulation results suggest that while higher charging rates can reduce charging time, they also lead to increased degradation, with lithium plating becoming more severe at these elevated rates. The model also indicates that temperature management during cell operation can influence cycle life, with strategic temperature increases potentially mitigating some negative effects of fast charging. The study also explores the concept of total charging time as an alternative metric for battery wear, examining its relationship with the charging current profile and temperature. Results indicate that while fast charging offers convenience, it significantly impacts cycle life, underscoring the need for optimized charging strategies. The insights from this work enhance the understanding of Li-ion cell aging mechanisms, shedding light on the complex trade-offs between charging speed, temperature management, and lifespan. This contributes to the development of more sophisticated battery management systems and charging protocols that aim to extend the operational life of LiBs while accommodating the demands of fast charging.

Proteomic analyses reveal plasma EFEMP1 and CXCL12 as biomarkers and determinants of neurodegeneration.

Plasma proteomic analyses of unique brain atrophy patterns may illuminate peripheral drivers of neurodegeneration and identify novel biomarkers for predicting clinically relevant outcomes. We identified proteomic signatures associated with machine learning-derived aging- and Alzheimer's disease (AD) -related brain atrophy patterns in the Baltimore Longitudinal Study of Aging (n=815). Using data from five cohorts, we examined whether candidate proteins were associated with AD endophenotypes and long-term dementia risk. Plasma proteins associated with distinct patterns of age- and AD-related atrophy were also associated with plasma/cerebrospinal fluid (CSF) AD biomarkers, cognition, AD risk, as well as mid-life (20-year) and late-life (8-year) dementia risk. EFEMP1 and CXCL12 showed the most consistent associations across cohorts and were mechanistically implicated as determinants of brain structure using genetic methods, including Mendelian randomization. Our findings reveal plasma proteomic signatures of unique aging- and AD-related brain atrophy patterns and implicate EFEMP1 and CXCL12 as important molecular drivers of neurodegeneration. Plasma proteomic signatures are associated with unique patterns of brain atrophy. Brain atrophy-related proteins predict clinically relevant outcomes across cohorts. Genetic variation underlying plasma EFEMP1 and CXCL12 influences brain structure. EFEMP1 and CXCL12 may be important molecular drivers of neurodegeneration.

Research on Acid Aging and Damage Pattern Recognition of Glass Fiber-Reinforced Plastic Oil and Gas Gathering Pipelines Based on Acoustic Emission.

Pipelines extend thousands of kilometers to transport and distribute oil and gas. Given the challenges often faced with corrosion, fatigue, and other issues in steel pipes, the demand for glass fiber-reinforced plastic (GFRP) pipes is increasing in oil and gas gathering and transmission systems. However, the medium that is transported through these pipelines contains multiple acid gases such as CO2 and H2S, as well as ions including Cl-, Ca2+, Mg2+, SO42-, CO32-, and HCO3-. These substances can cause a series of problems, such as aging, debonding, delamination, and fracture. In this study, a series of aging damage experiments were conducted on V-shaped defect GFRP pipes with depths of 2 mm and 5 mm. The aging and failure of GFRP were studied under the combined effects of external force and acidic solution using acoustic emission (AE) techniques. It was found that the acidic aging solution promoted matrix damage, fiber/matrix desorption, and delamination damage in GFRP pipes over a short period. However, the overall aging effect was relatively weak. Based on the experimental data, the SSA-LSSVM algorithm was proposed and applied to the damage pattern recognition of GFRP. An average recognition rate of up to 90% was achieved, indicating that this method is highly suitable for analyzing AE signals related to GFRP damage.

Revisiting Pseudo-OCV Pulse-Based Incremental Capacity Analysis

Li-ion batteries are more prone to safety incidents than other battery technologies. This is due to the inherently higher energy density as well as the flammability of especially anode materials, separator, and electrolyte solvents. During charging, metallic Lithium may form on the anode surface and could in the worst case short the battery from within and cause a fire and or explosion [1]. It is therefore vital to be able to monitor the battery’s state-of-health (SoH) and state-of-safety (SoS) [2], to avoid further use of Li-ion batteries that may have aged in a detrimental fashion and can have an increased safety risk. Especially when a battery has aged considerably (SoH < 80%) the path of ageing can significantly affect the safety properties of the battery and cause dramatic differences in the severity of a possible safety incident.Incremental capacity analysis (ICA, dQ/dV) has emerged as a very powerful diagnostic technique for Li-ion batteries. We recently used ICA to identify different degradation mechanisms in commercial Li-ion cells through classification and tracking of selected dQ/dV features [3]. This allowed us to identify safety critical ageing at an early stage. ICA requires constant charge and discharge at slow currents (C-rate < C/10) [4, 5]. However, a slow controlled constant current charge or discharge is normally not feasible and cannot be easily applied to battery systems without access to high precision battery pack testers.In this work we will revisit applying ICA on the Open-Circuit-Voltage (OCV) curve in the capacity space [6]. The OCV curve can be obtained from any sequence of current or power pulses followed by a rest period to allow the cell to reach a pseudo-OCV after each pulse. By pulsing through the entire state-of-charge window an OCV vs capacity curve can be obtained with sufficient accuracy to perform ICA.A direct comparison of conventional constant current ICA (cc-ICA) and high-resolution-OCV ICA (ocv-ICA) is presented. A strong correlation between ageing patterns is observed providing a first proof-of-concept for the method.

The metabolic and endocrine impact of diet-derived gut microbiota metabolites on ageing and longevity

Gut dysbiosis has been recently recognized as a hallmark of ageing. At this stage of life, gut microbiota becomes depleted from bacteria involved in the production of short-chain fatty acids (SCFA), indole and its derivative indole-3-propionic acid (IPA), metabolites shown to improve host glycemic control as well as insulin sensitivity and secretion. Moreover, gut microbiota becomes enriched in pathobiont bacteria involved in the production of imidazole propionate, phenols and trimethylamine, metabolites that promote host insulin resistance and atherosclerosis. The magnitude of these changes is much more pronounced in unhealthy than in healthy ageing. On the other hand, a distinct gut microbiota signature is displayed during longevity, the most prominent being an enrichment in both SCFA and IPA bacterial producers. This short Review discusses, in an innovative and integrative way, cutting-edge research on the composition of gut microorganisms and profile of metabolites secreted by them, that are associated with a healthy and unhealthy ageing pattern and with longevity. A detailed description of the positive or detrimental metabolic effects, in the ageing host, of diet-derived gut microbial metabolites is provided. Finally, microbiota-targeted interventions that counteract gut dysbiosis associated with ageing, are briefly outlined.

Global, regional, and national burden of early-onset gastric cancer.

The burden of gastric cancer (GC) across different age groups needs updating. We determined the GC global, regional, and national burden profiles and changes in incidence for 3 sequential 5-year intervals from 2003 to 2017. The latest incidence and mortality estimates of GC from 185 countries and regions were extracted from the GLOBOCAN 2022 database. The 5-year interval age-standardised incidence rates (ASIRs) were evaluated using cancer registry data from volumes X-XII of the Cancer Incidence in Five Continents (CI5). Correlation analysis was used to evaluate the relationship between ASIR or the age-standardised mortality rate (ASMR) and the Human Development Index (HDI). There was an estimated global 968,000 new GC cases and 660,000 deaths in 2022, with male predominance. GC ASIRs and ASMRs were 9.2 and 6.1 per 100,000 persons, respectively. East Asia had the highest burden, with 53.8% of cases and 48.2% of deaths among all geographic regions. There was a significant correlation between ASIR and HDI. Over three 5-year intervals from 2003 to 2017, the incidence of GC notably decreased in most countries but peaked at 2008-2012 in New Zealand, Turkey, and South Africa. Several countries in Europe, Oceania, and America suggest an increasingly concerning trend among younger individuals, especially females. GC is a significant health issue, especially among males and in geographic regions with an HDI, such as eastern Asia. While the incidence of GC is decreasing in many countries due to prevention efforts and improved treatments, a rising trend persists among younger individuals. Comprehensive prevention strategies tailored to different age patterns are clearly needed.

Sex-specific social aging in wild African lions

There is a growing interest in social behavior change with age,1,2,3,4,5 and the impacts of sociality on longevity,6,7,8 but current knowledge is broadly limited to primates, societies structured by dominance hierarchies, or single-sex studies. It is less clear how social aging patterns emerge in carnivores. The African lion (Panthera leo), a species that lives in egalitarian fission-fusion societies, presents an exceptional opportunity to examine social aging. Across felids, lions are unique in their dependence on conspecifics for many essential processes,9,10,11 and there is vast knowledge of lion behavioral ecology,10,11,12,13,14 including documented reproductive senescence in both sexes.14,15 Applying spatial-social network analyses across 30 years of data on the wild Serengeti lion population, we show that sex strongly modulates patterns of social aging and longevity. Group size increased with age for both sexes, but only males experienced significant changes in associate numbers (degree), specifically to females, which peaked in mid-life before declining. While aging females experienced declines in intra-sex connectivity (strength) and bond strength (mean strength), they peaked in both to males during mid-life. Male inter-sex strength also peaked in mid-life, while conversely their intra-sex strength and mean strength significantly dipped in mid-life. Although social associations were important for survival in both sexes, the investment diverged significantly: females' overall network connectivity was key for longevity, while the number of associates was important for males. These findings illustrate important potential effects of social aging in a wild carnivore and demonstrate how these diverge strongly between the sexes.

Selection for greater dispersal in early life increases rate of age-dependent decline in locomotor activity and shortens lifespan.

Locomotor activity is one of the major traits that is affected by age. Greater locomotor activity is also known to evolve in the course of dispersal evolution. However, the impact of dispersal evolution on the functional senescence of locomotor activity is largely unknown. We addressed this knowledge gap using large outbred populations of Drosophila melanogaster selected for increased dispersal. We tracked locomotor activity of these flies at regular intervals until a late age. The longevity of these flies was also recorded. We found that locomotor activity declines with age in general. However interestingly, the activity level of dispersal-selected populations never drops below the ancestry-matched controls, despite the rate of age-dependent decline in activity of the dispersal-selected populations being greater than their respective controls. The dispersal-selected population was also found to have a shorter lifespan as compared to its control, a potential cost of elevated level of activity throughout their life. These results are crucial in the context of invasion biology as contemporary climate change, habitat degradation, and destruction provide congenial conditions for dispersal evolution. Such controlled and tractable studies investigating the ageing pattern of important functional traits are important in the field of biogerontology as well.

Magmatic and sedimentological arguments for an Ediacaran active margin in the Bayankhongor Zone in western Mongolia, Central Asian Orogenic Belt

Geochronological and geochemical investigation of the magmatic and sedimentary rocks from the south-eastern tip of the Bayankhongor Zone (central Mongolia) constrains the Neoproterozoic evolution of the northern margin of the Baidrag Block. There, ultramafic to felsic igneous rocks of the Khan-Uul Massif intruded the volcano-sedimentary sequence of the Ulziit Gol Unit. U–Pb zircon ages show that both the plutonic and volcanic rocks were coeval products of the same Ediacaran (598–564 Ma) magmatism. Most of the samples have low contents of high field strength elements typical of arc-related magmas; however, some mafic rock samples display N-MORB-like chemistry. Magmatic rocks in the Khan-Uul Massif and Ulziit Gol Unit yielded exclusively positive initial εHf in zircon values (+4.9 to +13.8), implying derivation from depleted-mantle sources. Furthermore, heterogeneity of the whole-rock initial εNd values (–4.0 to +2.1) documents that fractional crystallization was accompanied by variable crustal contamination. The detrital zircon age patterns of the sandstone and tuffites in the Ulziit Gol Unit indicate that the sequence was filled dominantly by Ediacaran magmatic detritus derived from the Khan-Uul Massif and its volcanic equivalents, while the older cratonic material from the Baidrag basement represented only a subordinate component. Combined magmatic and sedimentary records imply that both the Khan-Uul Massif and the Ulziit Gol Unit may have formed in the same back-arc basin environment. This challenges the previous view that the entire Bayankhongor Zone was ophiolitic in nature. Distribution of coeval Ediacaran supra-subduction systems on the scale of the Mongolian Collage indicates the closure of multiple oceanic basins rimming the Siberian Continent. Following Rodinia break-up, this peri-Siberian realm was presumably formed by sub-parallel continental ribbons and oceanic basins. It is proposed that the amalgamation of these blocks and closure of intervening oceans reflected the Ediacaran advancing mode of the Palaeo-Pacific subduction.

The Characteristics and Inheriting Pattern of Skin Aging in Chinese Women: An Intergenerational Study of Mothers and Daughters.

The aging of the skin, which is affected by both external and internal causes, can reflect the external age and the internal health status. While the aging characteristics differ across ethnic groups, the specific changes in skin aging within the Chinese population have been underexplored. Moreover, investigating the similarity of aging skin characteristics between parent-offspring pairs remains uncharted territory. This study aims to fill these gaps by examining the skin aging features of Chinese women and assessing the similarity in aging skin characteristics between mother-daughter pairs. A total of 40 mother-daughter pairs were recruited and analyzed. The perceived ages of the participants were evaluated, and their aging skin traits were systematically graded. Statistical methods were employed to discern the trends of the aging skin characteristics. By introducing a novel similarity parameter, we compared whether various skin aging characteristics have similar patterns between mothers and daughters. Our findings indicate that age 50 represents a pivotal point in skin aging. Beyond this age, the increase in rhytides and laxity scores accelerated noticeably, whereas the escalation in dyschromia scores became less marked. By introducing similar parameters between mother-daughter pairs and the radar map, we discovered that the skin aging characteristics are remarkably consistent between mother-daughter pairs. Understanding the main aging skin characteristics of different age groups can allow caregivers to devise treatments for preventing skin aging in women of various ages. The mother's skin aging trend is also significant for the daughter's skin aging prevention.