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Systematic experimental data on local extreme velocities and unsteady features in high-Reynolds-number deep-cavity flows remain limited. In this study, two-component particle image velocimetry (PIV) measurements were performed to investigate the flow characteristics of an incoming-flow-driven deep cavity with $L/D$ = $1/3$ at Re = 2.55 × 105. Three streamwise $xy$ planes ($z/W$ = 0.10, 0.25, 0.50) and three spanwise yz planes ($x/L$ = 0.10, 0.25, 0.50) were measured systematically. The time-averaged velocity, root mean square velocity fluctuations, in-plane turbulent kinetic energy (TKE), instantaneous maximum velocity, and higher-order statistics including skewness and kurtosis were analysed. The results show that the vertical velocity fluctuation on the intermediate streamwise plane ($z/W$ = 0.25) reaches peak value approximately $v$rms/Ulid = 0.072 (where Ulid is the characteristic inflow velocity above the cavity), indicating the strongest local vertical unsteady response among the measured streamwise planes. On the near-wall plane ($z/W$ = 0.10), the instantaneous maximum velocity exhibits skewness 1.23 and kurtosis 7.47, reflecting pronounced local intermittent extreme events, whereas the extreme events on the middle plane ($z/W$ = 0.50) are weaker and closer to a Gaussian-like distribution. The spanwise planes also demonstrate clear non-Gaussian features, with high-fluctuation and high in-plane TKE regions primarily concentrated in areas associated with the interaction between the shear layer and recirculation structures, revealing significant spatial anisotropy in the flow. These results suggest that shear-layer development, primary recirculation, sidewall confinement and downstream flow turning jointly modulate local extreme events and intermittent velocity fluctuations. This study provides systematic experimental quantification of spatial non-uniformity and extreme-event characteristics in a high-Reynolds-number deep cavity using multi-plane PIV, offering useful experimental references for turbulence model validation and complex cavity-flow control.
The optics roughness in Öffner stretchers has been widely identified as a major cause of temporal contrast degradation at tens of picoseconds before the main pulse. However, we find that amplifier-induced noise may become the decisive factor for temporal contrast deterioration at a similar time window with the increase of the B-integral in chirped-pulse amplification systems. Even employing a high-precision convex mirror with root-mean-square roughness values better than 0.2 nm, the experimental measurements show that amplifier-induced noise generates asymmetric profiles under nonlinear effects – exhibiting an obvious pre-pedestal growth proportional to the accumulated B-integral. Analogous to post-to-pre-pulse conversion dynamics, the numerical simulations demonstrate the impact of the B-integral on the pre-pedestal, especially when the pulse peak power scales from the terawatt level to the petawatt level.
Exhumation-induced stress triggers natural hydraulic fracturing, governing fluid overpressure limits in deeply buried strata. In the Sichuan Basin (South China), the geomechanical response of Lower Cambrian shale to multi-phase differential exhumation remains poorly quantified. We integrated apatite and zircon thermochronology, vitrinite reflectance, residual stratal thickness, and Skempton’s poroelastic model to reconstruct the exhumation and pore pressure history of the Qiongzhusi Formation. Results reveal a four-stage, northwestward-migrating exhumation since the Cretaceous, featuring severe uplift (3000–4000 m) along basin margins and the Weiyuan anticline, versus moderate uplift (2000–2500 m) in the Ziyang intra-basin area. This differential exhumation halted thermal evolution, establishing a spatial thermal maturity distribution (VR = 3.2%–4.0%) and a lower boundary at ∼5500 m, below which graphitization degrades rock properties. Crucially, differential exhumation magnitude and varying initial pore pressures at maximum burial (∼7000 m) governed stress trajectories during uplift. Driven by higher initial pressure, the moderately exhumed Ziyang area reached the natural fracturing threshold at 4100 m, significantly deeper than the heavily exhumed Weiyuan area (3250 m). These critical failure depths mechanistically define the upper limits for overpressure preservation, demonstrating that differential exhumation and poroelastic relaxation fundamentally control the vertical boundaries of overpressured shale compartments.
Coarctation of the aorta is a congenital cardiovascular disease with focal aortic luminal narrowing, and paediatric patients face a high postoperative restenosis risk. This study aimed to develop and validate an interpretable machine learning model for early predicting restenosis after paediatric coarctation of the aorta direct repair using preoperative and intraoperative data.
Methods:
A total of 117 patients (2016–2024) were retrospectively enrolled, divided into restenosis (21 cases, 17.9%) and non-restenosis (96 cases, 82.1%) groups (restenosis was defined as a peak systolic pressure gradient >20 mmHg measured by echocardiography). Recursive feature elimination with cross-validation screened key variables; six machine learning models were built with 5-fold randomised search cross-validation tuning, using the area under the curve as the primary metric. SHapley Additive exPlanation analysed feature contributions.
Results:
The multilayer perceptron model performed best (mean area under the curve = 0.8333, 95% CI: 0.7111–0.9555, accuracy = 0.8376) with balanced precision-recall. SHapley Additive exPlanation identified low body surface area as the top risk factor. Resection and extended end-to-end anastomosis/end-to-side anastomosis were preferred surgically, while resection with end-to-end anastomosis should be avoided; end-to-side anastomosis reduced restenosis risk in patients with aortic arch hypoplasia.
Conclusion:
Machine learning models enable personalised, high-accuracy restenosis prediction. SHapley Additive exPlanation-facilitated risk factor identification optimises treatment strategies. Future prospective studies are needed to validate the models and develop clinical tools.
Passive exoskeletons offer several advantages, including lightweight design, simple structure, and inherent energy efficiency. Most existing passive exoskeletons rely on clutch mechanisms to control spring-based energy storage and release, typically focusing only on recovering biomechanical energy during the stance phase of gait. In this study, we propose and analyze a lightweight passive ankle exoskeleton capable of harvesting and releasing energy during both the stance and swing phases of walking. The device aims to enhance gait assistance while maintaining structural simplicity and minimizing weight. By integrating the optimal stiffness ratio between the stance and swing phases, derived from musculoskeletal model simulations, with previously established optimal stance-phase stiffness parameters, we determined a suitable stiffness coefficient for the swing-phase spring. To validate the design, we conducted comparative experiments on participants walking with exoskeletons configured with different stiffness coefficients. Spatiotemporal parameters, metabolic energy cost, and muscle activation patterns were analyzed to evaluate performance. The results demonstrate that the proposed exoskeleton effectively reduces Soleus muscle activation while increasing tibialis anterior activity, leading to a 6.84% reduction in walking energy cost compared to a nonassistive condition. Furthermore, energy recovery during the swing phase alone contributes an additional 1.67% reduction in energy expenditure, improving overall walking efficiency. The proposed design also eliminates complex clutch components, significantly simplifying manufacturing and reducing costs, thereby enhancing the applicability of passive exoskeletons in daily mobility and rehabilitation scenarios.
Irritability is a common and impairing transdiagnostic symptom across multiple psychiatric disorders in children and adolescents, including ADHD, generalized anxiety disorder, and depression. It is often manifested as a stable, trait-like phenotype that significantly impacts daily functioning and long-term outcomes. Despite its clinical relevance, the underlying neural mechanisms—particularly those that generalize across diagnostic categories—remain poorly understood.
Objectives
This study aimed to identify transdiagnostic neural markers of irritability in a large developmental sample using resting-state functional connectivity. Specifically, we sought to determine whether functional network connectivity patterns could predict irritability severity and to validate their generalizability across both internal subsamples and an external clinical cohort.
Methods
We analyzed resting-state fMRI data from 1143 children and adolescents (age = 11.65 ± 3.47 years) from the Healthy Brain Network project, encompassing diagnoses such as ADHD, depression, anxiety, and autism spectrum disorder. Irritability was measured using the Affective Reactivity Index. Connectome-based predictive modeling (CPM) was employed to identify functional networks associated with irritability. Internal validation was conducted using two random subsamples and an alternative brain atlas. Furthermore, an support vector machine (SVM) classifier was applied to an independent depression cohort (n = 129) to externally validate the robustness of the identified networks.
Results
The positive predictive network for irritability primarily featured connections between the fronto-parietal network and other networks, whereas the negative network involved connections between the basal ganglia network and other networks. Internal validations confirmed that both the fronto-parietal network and the basal ganglia network consistently predicted irritability. External validation in the depression cohort further supported the role of these networks in irritability, successfully differentiating between high- and low-anger groups using SVM classification.
Conclusions
Our findings underscore the central roles of the fronto-parietal network—implicated in cognitive control—and the basal ganglia network—associated with motivational and emotional processes—in pediatric irritability across diagnostic boundaries. These networks may reflect a developmental imbalance between top-down regulation and bottom-up emotional responding, offering potential neural targets for early intervention and transdiagnostic treatment strategies.
Non-suicidal self-injury (NSSI) is a common high-risk behavior in adolescents and it occurs in various psychiatric disorders, especially major depressive disorder (MDD). It remains largely unknown whether and which brain functional networks contribute to NSSI across youth psychiatric disorders.
Objectives
This study aimed to identify common brain functional networks associated with NSSI across youth psychiatric disorders, and to examine their relationships with NSSI behavior, addiction, and its functions. Furthermore, we sought to validate the generalizability of these neural correlates in independent clinical cohorts.
Methods
This study analyzed functional brain imaging data acquired from 156 adolescents (MDD+NSSI group, n = 44, age = 15.32 ± 1.51; MDD-NSSI group, n = 32, age = 15.36 ± 1.96; healthy controls, n = 80, age = 15.92 ± 2.72). NSSI behavior, addiction and its four NSSI functions (internal and external emotion regulation, social influence and sensation seeking) were assessed using the Ottawa Self-injury Inventory. Using support vector machine recursive feature elimination classification and regression models, we investigated the brain functional networks that predicted NSSI. External validations were performed in an ADHD cohort (n = 40) and a transdiagnostic cohort (n = 40).
Results
The brain networks related to NSSI behavior were mainly composed of inter-network connections between the fronto-parietal, motor, limbic, basal ganglia networks. These networks were also associated with NSSI addiction and its four functions. Notably, the fronto-parietal network was involved in all NSSI components. External validations in both the ADHD and the transdiagnostic cohorts validated the associations of these functional networks with NSSI severity.
Conclusions
Our results demonstrate roles of the fronto-parietal, motor, limbic and basal ganglia networks in NSSI across youth psychiatric disorders, which may serve as neural markers and potential targets for prevention and intervention.
Observational studies have suggested that brain imaging-derived phenotypes (IDPs) may serve as specific markers of pain-related phenotypes and severity. However, the shared genetic architecture between pain and brain IDPs and their potential causal relationships remains unclear.
Methods
We applied linkage disequilibrium score regression and Mendelian randomization (MR) analyses to uncover genetic correlations and potential causal links of brain structural (33,224 UK Biobank participants) and functional (47,276 UK Biobank participants) changes with site-specific pain phenotypes (approximately 500,000 Finngen participants). The scoping literature review was conducted to compare current findings with previous observational studies.
Results
In this study, we identified 559 significant genetic correlations between 587 structural IDPs and 13 pain-related phenotypes. Using MR analyses, we found that genetic liability to headache, migraine, joint pain, and sciatica was causally associated with alterations in 15 structural IDPs. Additionally, changes in the surface area of three brain regions were linked to a lower risk of sciatica, low back pain, and overall pain. Among the six pain-related phenotypes associated with structural IDPs, further analyses demonstrated putative causal relationships between functional IDPs and these conditions. Notably, headache exhibited both significant structural and functional changes across three key brain regions: the superior frontal gyrus, lingual gyrus, and paracentral lobule.
Conclusions
These findings provide novel insights into the genetic correlations and genetically inferred associations between pain and neurobiological abnormalities from neuroimaging perspectives, with structural alterations as the primary findings and functional changes as complementary exploratory evidence, advancing the understanding of pain-related mechanisms.
Low-protein (LP) diets are increasingly adopted in poultry production to improve nitrogen efficiency. While their effects on the utilization of trace minerals have been demonstrated, the optimal supplementation strategies for these minerals remain insufficiently explored. This study investigated the interactive effects of dietary iron (Fe), copper (Cu), manganese (Mn), and zinc (Zn) supplementation in laying hens fed a 15% crude protein LP diet using a uniform design approach. A total of 1,008 Hy-Line Brown laying hens (49–60 weeks of age) were randomly allocated to 12 dietary treatments with graded combinations of the four trace elements. Production performance, egg quality, apparent nutrient digestibility, fecal mineral excretion, and duodenal metal ion transporters were assessed. Trace minerals supplementation did not affect laying performance (P > 0.05). However, significant interactions among minerals influenced egg quality, ash digestibility, and fecal mineral excretion (P < 0.05). Antagonistic interactions were observed for Cu × Zn and Fe × Zn, while Mn × Zn showed synergism (P < 0.05). Regression analyses demonstrated that optimal trace minerals combinations varied depending on the specific response variables. Given that production performance remained stable across minerals treatments, minimizing total mineral excretion was prioritized as the optimization objective. The optimization results indicate that no additional supplementation of Cu, Mn, and Zn is required, whereas 33 mg/kg of Fe represents the optimal level for minimizing total mineral excretion. These findings suggest that basal diet Cu, Mn, and Zn concentrations may largely meet the requirements of laying hens from 49 to 60 weeks of age in terms of production performance and mineral utilization. Overall, this study provides an effective approach for identifying key influencing factors and developing precision trace minerals supplementation strategies that maintain production performance while substantially reducing mineral excretion, thereby supporting environmentally sustainable poultry production.
Dyslipidaemia is associated with chronic low-grade inflammation and immune dysfunction, but the immunological effects of dietary phytosterols in humans remain unclear. We conducted a secondary analysis of an outcome-assessor-blinded, randomised controlled feeding trial to evaluate the effects of a high-phytosterol (HPS) diet, using phytosterol-enriched corn–wheat germ blended oil (CWGO), compared with a low-phytosterol (LPS) diet using peanut oil, on systemic inflammatory markers, humoural immune markers and peripheral blood lymphocyte subsets in Chinese adults with dyslipidaemia. After a 2-week run-in period, 104 participants were randomised to the HPS group (n 52) or the LPS group (n 52) for 12 weeks. In intention-to-treat analyses, the HPS group had a higher CD4+:CD8+ ratio at 12 weeks than the LPS group (adjusted mean difference: 0·561; 95 % CI 0·060, 1·063; P = 0·03) and a lower CD8+ T-cell count (adjusted mean difference: −116·315 cells/μl; 95 % CI −215·781, –16·849; P = 0·02). No significant between-group differences were observed for systemic inflammatory markers, humoral immune markers or most other lymphocyte subset outcomes. In per-protocol analyses, the difference in CD4+:CD8+ ratio remained significant, whereas the reduction in CD8+ T-cell count was attenuated. These exploratory findings suggest that a 12-week phytosterol-enriched CWGO intervention may be associated with changes in T-cell subset balance in adults with dyslipidaemia, although the results should be interpreted cautiously given the exploratory nature of this secondary analysis.
Prior observational studies have reported conflicting results regarding whether antidepressant treatment reduces long-term dementia risk, likely due to confounding by indication and reverse causation. We aimed to investigate the association between baseline antidepressant use and incident dementia, incorporating cognitive and neuroimaging outcomes.
Methods
We conducted a prospective cohort study using UK Biobank participants free of dementia at baseline. Antidepressant use was self-reported at baseline (2006–2010). Incident dementia was identified through linked electronic health records until December 19, 2022. Cox proportional hazards models estimated hazard ratios (HRs) for all-cause dementia, Alzheimer’s disease (AD), and vascular dementia (VD), adjusting for sociodemographic, lifestyle, health-related, antidepressant indication factors, and co-medication of other anticholinergics. In subsamples, cognitive performance (n = 57,330) and structural brain imaging (n = 42,276) were examined as intermediate outcomes.
Results
Among 461,464 participants, 33,721 (7.3%) reported baseline antidepressant use. Over a mean follow-up of 13.4 years, 7,922 (1.7%) developed incident dementia. Baseline antidepressant use was associated with higher risks of all-cause dementia (adjusted HR: 1.47, 95% CI 1.36–1.60), AD (1.53, 1.36–1.73), and VD (1.44, 1.23–1.70). Users performed worse on fluid intelligence and prospective memory tasks and showed lower total and gray matter volume, regional reductions in the hippocampal gray matter and basal nucleus, and greater white matter hyperintensity volume.
Conclusions
Baseline antidepressant use was linked to a higher risk of dementia, poorer cognitive performance, and adverse brain structural changes. These findings underscore the importance of judicious prescribing, regular cognitive monitoring, and consideration of non-pharmacological approaches in clinical care.
Cavitation bubble collapse near a wall is investigated by employing a recently developed laser–fluid computational framework to simulate the complete lifecycle of a wall-detached laser-induced bubble, including the water breakdown phase. The model couples compressible multiphase Euler equations, a radiative transport equation and a latent heat reservoir formulation for phase transition. A wide range of nine stand-off ratios $\gamma \in [0.79,\ 2.14]$ is investigated and directly compared with recent experimental measurements. The simulations reproduce the interfacial dynamics of bubbles with excellent accuracy. Moreover, the computations are capable of reidentifying the three experimentally observed collapse regimes, i.e. purely torus, mixed tip-and-torus and purely tip collapse, and correctly identify the collapse as the dominant source of the peak wall pressure rather than jet impact. A sensitivity analysis shows that only the mixed tip-and-torus regime exhibits strong dependence on the laser absorption coefficient. The simulations give access to the details on pressure, density, temperature and velocity fields inside the bubble and demonstrate that the vapour remains in average thermodynamic equilibrium during most of lifetime. The results reveal significantly different time scales between thermodynamic fields where the gas pressure becomes quasi-uniform inside the bubble during expansion and collapse, whereas the temperature remains strongly non-uniform with persistent spatial gradients. This study provides the most complete numerical reproduction to date of experimental laser-induced bubble collapse near a wall, and offers new physical insight into the coupling between bubble–wall interaction, laser-induced thermodynamics and collapse regimes.
Biological aging may contribute to the pathogenesis of major depressive disorder (MDD). However, whether and how peripheral transcriptomic aging increases the risk of MDD onset remains unclear.
Methods
Transcriptomic age was estimated using peripheral blood RNA sequencing data from 141 individuals with MDD and 134 healthy controls. The residuals of transcriptomic age regressed on chronological age were calculated to indicate transcriptomic aging acceleration. Enrichment analysis was performed to explore potential biological mechanisms underlying aging- and MDD-associated transcriptomic alterations. Associations between transcriptomic aging and clinical, neurocognitive, environmental, genetic, and neuroimaging phenotypes were examined.
Results
Participants with MDD exhibited significantly accelerated transcriptomic aging both before (t = 2.06, P = 0.040) and after adjusting for chronological age and sex (t = 3.72, P < 0.001). Enrichment analysis revealed shared terms in innate immune-related inflammation, ribosome biogenesis, and mitochondrial energy metabolism, while telomere length maintenance was specifically enriched in aging but not in MDD. No significant associations were found between transcriptomic aging and clinical symptoms, neurocognitive functions, childhood trauma exposure, or polygenic risk score. Neuroimaging analyses demonstrated that transcriptomic aging was associated with structural (t = −3.30, P = 0.001) and functional (t = 2.64, P = 0.009) alterations in the right insular cortex. Further analyses indicated that insular abnormalities partially mediated the impact of transcriptomic aging on MDD vulnerability.
Conclusions
Transcriptomic aging may represent a novel risk factor for MDD. Disruption in the insular cortex may serve as a critical neural substrate through which accelerated transcriptomic aging increases vulnerability to MDD.
In this study, the Mach reflection of a detonation wave in 2H$_2$ + O$_2$ + 2Ar over a concave double wedge was experimentally investigated. Three Mach reflection configurations could be observed successively, namely, Mach reflection of a Chapman–Jouguet detonation over the first surface, Mach reflection of an overdriven detonation wave over the second surface, and Mach reflection after the interaction of two triple points. The experimental results indicated that the classical reactive theories based on the straight Mach stem assumption are unable to accurately predict the behaviours of the latter two Mach reflections. The asymptotic triple-point trajectory angle of the secondary Mach reflection, $\chi _2$, is significantly smaller than the theoretical prediction. A curved model for the Mach stem $m_1$ is constructed, introducing a curved Mach stem near the triple point. The Mach stem has a concave curvature, implying a lower overdrive degree and a smaller incident angle, which consequently leads to a reduction in $\chi _2$. Based on the curved Mach stem model, an equivalent wedge angle $\varPhi$ and an equivalent overdrive degree $\overline {\alpha }$ are introduced to predict the value of $\chi _2$. An analytical model for solving the interaction of two triple points was developed. Two different wave structures after the interaction – namely, downward-travelling shock–shock and downward-travelling centred shock–expansion – were determined using gas dynamic and shock dynamic methods. The curved Mach stem $m_1$ can result in the variation of the wave structure.
During World War II, the Japanese Kwantung Army’s Unit 731 secretly conducted large-scale, inhumane, and unethical human experimentation in China, culminating in one of the most heinous medical atrocities, crimes against humanity, and war crimes in the Asia-Pacific theatre of the war. Despite the gravity of the subject matter and its historical significance, research on Unit 731 has, for a long time, been rather limited, but has gradually increased in recent decades. In this article, we identify several important characteristics and trends in research activities related to Unit 731, with a view to providing a general overview of the existing scholarship and to providing recommendations for future research.
From the 1950s to the 1970s, academic research started to accumulate. The second stage was one of rapid development from the 1980s to the 1990s. During this period, research efforts in Japan had a far-reaching influence and began to spread to China, Europe, and the U.S. Scholars from scientific, medical, and educational communities began participating in Unit 731 research successively. The third stage of multi-dimensional development began at the onset of the twenty-first century. Research expanded into comparative inquiries of Japanese medical atrocities and their Nazi counterpart; at the same time, research on many topics in diverse disciplines was also deepened and intensified. In addition to focusing on pragmatic issues such as reflections and actions of modern society and reconciliation, researchers have also been concerned with historical writing and collective memory.
In this work, we demonstrate a high-energy regenerative amplifier based on a single Yb:CaGdAlO4 (Yb:CALGO) crystal, delivering a pulse energy of 11.2 mJ at a 1 kHz repetition rate. To the best of our knowledge, this represents the highest pulse energy directly obtained from an Yb:CALGO single-crystal regenerative amplifier to date. To mitigate the severe gain narrowing typically associated with high-energy amplification, a specially designed polarization-spectral filter was integrated into the system to pre-shape the seed spectrum, enabling an amplified full width at half maximum spectral bandwidth of 10.1 nm. As a result, the amplified pulses were able to be compressed to a pulse duration of 198 fs without any pedestal. The output power stability, measured over 200 minutes, exhibited a root mean square fluctuation of 0.27%, and the beam quality factors were Mx2 = 1.08 and My2 = 1.17.
The characteristically low flowback recovery in shale reservoirs stems from spontaneous imbibition, a governing mechanism for fluid retention and hydrocarbon production. Despite extensive research, the fundamental processes underlying aqueous-phase transport in shales remain poorly understood. This review synthesises recent findings by characterising imbibition as a dynamic, cross-scale transport phenomenon driven by the coupling of capillary suction, chemical potential gradients and clay hydration. Unlike traditional static descriptions of this process, this review highlight how imbibition induces continuous pore-network evolution via hydration-triggered microfracture propagation and mineral-scale blockage. Geological attributes, fluid chemistry and operational parameters are systematically evaluated. We further examine the methodological transition from macroscopic monitoring to in situ visualisation, and from classical analytical solutions to multiphysics numerical frameworks. Lastly, we conclude by identifying critical knowledge gaps and outlining future perspectives in high-pressure high-temperature in situ measurements, multiscale predictive correlations and intelligent fluid systems.