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Polarization adds powerful, often underutilised information to satellite remote sensing. This book is a comprehensive, end-to-end guide to retrieving both cloud and aerosol properties from polarimetric observations. Unique in unifying key training across scattering modeling, aerosol retrieval, cloud microphysics, and polarimetric observations, this foundational textbook prepares readers in the use of a cutting-edge technique that is increasingly deployed for climate missions by NASA and other space agencies. The book begins with the basics of polarization, building into scattering theory and particle optics. Readers are guided through polarized radiative transfer, surface boundary conditions over ocean and land, and the inverse methods connecting measurements to geophysical properties. Dedicated chapters explore the retrieval of cloud phases and microphysics, aerosol optical depth, particle size, and refractive index. Suitable as a graduate textbook or a reference for researchers, this volume will allow readers to emerge ready to work directly with polarimetric satellite data.
The appeal of quadruped robots lies not only in their ability to mimic the diverse and agile locomotion of animals but also in their potential to integrate with human artistic expression to achieve complex multi-skill movements. Continuous multi-skill motion in quadruped robots requires the realization of diverse, continuous, and long-horizon behaviors, involving a broader state space and more complex motion generation and transitions. This presents significant challenges, including sparse rewards, incomplete data, long-horizon motion planning, and the design of fine-grained motion transitions. In this work, we categorize quadruped robot skills into three types: rhythmic motions, expressive motions, and high-dynamic motions and generate reference trajectories for each category using central pattern generators, animation design, and motion capture, respectively. We then design an asymmetric neural network architecture and employ an imitation–reinforcement learning algorithm to train policies for generating these three types of motions. By composing multiple motion skill trajectories, we avoid long-horizon motion planning; by leveraging reinforcement learning, we enable smooth and continuous skill transitions; and by introducing a two-stage reference state initialization curriculum, the robot is able to switch from arbitrary states to the target motion skill. Moreover, during training, the policy imitates only key characteristics of the reference motions rather than strictly tracking fixed trajectories, making it more robust. Finally, we achieve robust motion skill generation and seamless transitions on a quadruped robot equipped with a 6-DoF manipulator, validating the effectiveness and feasibility of the proposed multi-skill generation and transition method.
Neonates are highly susceptible to infection, a major cause of neonatal death, given their immature immune system. Comprehensive studies examining multiple immune-response-related proteins in relation to neonatal infection are scarce. We conducted a nested case-control study within the Shenzhen Baoan Birth and Twin (SZBBTwin) cohort, measuring 92 immune-response-related proteins in cord plasma of 149 twins (including 34 discordant twin pairs) with proximity extension assay. All twins were followed for clinical diagnoses of infection from birth until 27 days of age. Wilcoxon rank-sum test was used to determine differentially abundant proteins (DAPs) between infected and noninfected neonates, the predictive performance of which was evaluated by receiver operating characteristic curves, and their functions and pathways were annotated through enrichment analysis. Logistic regression was used to assess the associations between levels of proteins and risk of neonatal infection. Finally, five DAPs (ITGA11, FCRL6, DDX58, SH2D1A, and EDAR) were identified for neonatal infection, and the area under the curve of the five DAPs achieved 0.835 for infection prediction. Enrichment analysis indicated that five DAPs were mainly involved in immune function and cell binding, and they were mainly enriched in the nuclear factor kappa-B pathway. A higher level of ITGA11 was associated with an increased risk of neonatal infection in all twins (OR 3.00; 95% CI [1.33, 6.78]) and discordant twin pairs (OR 5.50; 95% CI [1.20, 25.23]). In conclusion, multiple immune-response-related proteins in cord plasma, particularly ITGA11, are associated with the risk of neonatal infection in twins.
Neuromyths persist as pseudoscientific misconceptions in education despite repeated debunking. This study examines the foreign language effect (FLe) on neuromyth discernment through two sub-studies. Using mixed experimental designs, we found task-dependent patterns of language effects: FL enhanced discernment of highly discernible neuromyths, while native language facilitated identification of low-discernibility neuromyths. Negative framing amplified FL advantages, whereas information richness suppressed discernment, an effect mitigated by FL for medium-discernibility neuromyths. These findings suggest that neuromyth susceptibility may vary across language and contextual conditions, providing preliminary theoretical and empirical implications for future language-sensitive approaches to teacher training and neuromyth mitigation.
The viscous shock tube is a canonical test case for assessing Navier–Stokes (NS) solvers in the continuum-flow regime, widely used to validate numerical accuracy and probe flow physics. It features a rich set of interacting structures – shock and rarefaction waves, contact discontinuities, boundary layers and their couplings – spanning multiple spatial and temporal scales. However, NS-based modelling, which presumes near-equilibrium behaviour, may fail to capture important non-equilibrium effects even in nominally continuum conditions. This study investigates the viscous shock tube at low Reynolds numbers and demonstrates the presence of non-equilibrium phenomena within the conventional continuum regime. To obtain physically consistent solutions across scales, we employ the unified gas-kinetic scheme (UGKS) and compare its results with NS solutions computed using the gas-kinetic scheme (GKS). Discrepancies between UGKS and GKS solutions reveal pronounced non-equilibrium effects in regions where shock waves interact with boundary layers. For continuum flows at high Mach and low Reynolds numbers, such multiscale non-equilibrium transport becomes important, underscoring the need for multiscale methods in analysis and prediction.
The physiological demands of pregnancy substantially alter iodine metabolism and thyroid function. This critical period heightens the requirement for iodine, making deficiency a significant risk factor for both maternal and fetal thyroid dysfunction. This study aimed to evaluate the iodine nutritional status of pregnant women in Hubei Province, explore the relationship between serum iodine concentration (SIC) and thyroid function, and determine the prevalence of thyroid disorders.
Design:
The eligible participants underwent a face-to-face interview and completed questionnaire surveys to collect baseline information and dietary intake data. Serum thyroid hormones, thyroid antibodies, SIC, and urine iodine concentration (UIC) were measured. The 95% reference intervals of SIC were established and ROC analysis was applied to compare the predictive ability of SIC and UIC for thyroid dysfunction.
Setting:
Hubei Province, China.
Participants:
1197 eligible pregnant women were included in this study.
Results:
This study revealed a thyroid dysfunction prevalence of 28.40%, with hypothyroxinemia being the most prevalent thyroid function abnormality, accounting for 79.7% of all thyroid dysfunction cases. Significant differences in hypothyroxinemia prevalence were noted across pregnancy trimesters (P < 0.001), with the highest prevalence in the first trimester and the lowest in the third. In the first trimester, SIC was negatively correlated with TSH (r = –0.195, P < 0.001) and positively correlated with FT3 (r = 0.294, P < 0.001). Additionally, SIC demonstrated a positive correlation with FT4 in each trimester (all P < 0.001). Finally, the SIC reference intervals for pregnant women in the first, second, and third trimesters were 50.08∼118.61 µg/L, 59.16∼127.44 µg/L, and 53.61∼118.67 µg/L, respectively.
Conclusions:
SIC can serve as a reliable indicator for evaluating individual iodine nutritional status and predicting thyroid dysfunction.
Working memory (WM) deficits are frequently observed in patients with insomnia disorder (ID), but their neural basis is unclear. Glymphatic dysfunction and disrupted structural-functional coupling have been implicated, yet they have rarely been examined together, particularly in clinical populations.
Methods
We conducted a multimodal MRI study in 391 ID patients. Glymphatic function was estimated using the diffusion tensor image analysis along the perivascular space (DTI-ALPS). The SFC was derived by correlating structural connectivity and functional connectivity. WM was measured by the longest span on the digit span backward task. Partial correlations and mediation analyses were performed to examine associations among sleep quality (Pittsburgh Sleep Quality Index, PSQI), DTI-ALPS, SFC, and WM performance.
Results
DTI-ALPS was negatively correlated with PSQI (r = −0.17, p = 0.006), indicating reduced glymphatic clearance with poorer sleep quality. Global SFC was positively associated with DTI-ALPS (r = 0.32, pFDR < 0.001), but not with WM (r = 0.01, p = 0.84). At the network level, SFC within the subcortical network (Sub-SFC) correlated with both DTI-ALPS (r = 0.29, pFDR < 0.001) and WM performance (r = 0.28, pFDR < 0.001). Mediation analysis revealed that DTI-ALPS and Sub-SFC jointly mediated the association between PSQI and WM performance, with a significant indirect effect (indirect effect = −0.074).
Conclusions
This study provides novel evidence that impaired glymphatic clearance and reduced Sub-SFC form key neural pathways linking poor sleep quality to working-memory deficits in ID, and that DTI-ALPS and Sub-SFC may serve as useful biomarkers of cognitive vulnerability.
This work presents an integrated modelling study of fast-proton distributions generated by ion cyclotron range of frequency (ICRF) minority heating in the Experimental Advanced Superconducting Tokamak (EAST). Using a series of high-confinement (H-mode) discharges with increasing ICRF power levels from 0.8 to 2.4 MW, fast protons were produced via minority heating mechanisms and analysed through simulations using the ASCOT code. The results reveal that the fast protons are primarily concentrated near the fundamental cyclotron resonance layer and exhibit strong power-dependent behaviour in both real-space (R–Z) distribution and velocity space, where R is the major radius and Z is the vertical coordinate. As the ICRF power increases, the energetic proton population shows significant spatial broadening and energy enhancement, reaching up to 1 MeV. The fast-ion pitch-angle distribution becomes increasingly anisotropic, with high-energy ions concentrated around $|\textit{v}_{\|}/\textit{v}| \lt 0.5$, where $\nu$ is the magnitude (speed) of the full velocity vector of the particle. Furthermore, the energy density of fast ions aligns well with the ICRF power deposition profile, confirming efficient central-core heating. These findings, which provide insight into fast-ion behaviour and ICRF heating characteristics in EAST plasmas, also support future fast-ion diagnostics and performance control strategies in EAST and similar experimental conditions.
White matter (WM) abnormalities are implicated in major depressive disorder (MDD), yet the organization of white matter morphometric similarity networks (WM-MSNs) – which capture interregional similarity in voxel-wise WM morphology – and the transcriptional mechanisms associated with their disruption remain insufficiently understood.
Methods
Using T1-weighted MRI from a large multisite sample (1,154 individuals with MDD and 1,026 healthy controls), we constructed individualized WM-MSNs. Group differences were assessed at the edge, global, and nodal levels. To identify molecular pathways underlying these alterations, nodal abnormalities were linked to regional gene expression profiles from the Allen Human Brain Atlas using spatially informed transcriptomic association, followed by functional, cell-type-specific, and developmental enrichment analyses.
Results
MDD showed distributed but selective reorganization of WM-MSNs. Network-based statistics revealed two significant components, with 118 edges exhibiting increased morphometric similarity and 45 showing decreased similarity. Globally, MDD demonstrated higher small-worldness, clustering coefficient, global efficiency, and local efficiency, together with shorter characteristic path length. Nodal disruptions were concentrated in major commissural and association tracts – including the corpus callosum, cingulum, uncinate fasciculus, and tapetum. Transcriptomic integration indicated enrichment for gene signatures related to oligodendrocyte function, myelination, lipid metabolism, axonal organization, and cellular stress-related molecular processes, with implicated genes showing broad developmental-stage expression.
Conclusions
MDD is associated with robust alterations in individualized WM-MSNs that converge with transcriptional signatures linked to myelination, metabolic processes, axonal structure, and cellular stress, linking macroscale network disruption to underlying molecular architecture and providing cross-scale insights into WM pathology in depression.
Environmental insecticide residues are a growing concern in the management of disease-vector mosquitoes, such as Aedes albopictus (Diptera: Culicidae). While deltamethrin is extensively utilised in mosquito vector control, localised or intermittent sublethal exposure to this insecticide may influence mosquito population dynamics. To investigate the role of environmental residual deltamethrin in inducing transgenerational fitness costs in Ae. albopictus, this study established three different concentrations of deltamethrin solution based on its half-lethal concentration (0.002275 mg/L) for long-term exposure. And four consecutive generations were reared under these conditions. We monitored macroscopic growth and developmental data, reproductive capacity, and expression levels of yolk protein genes (vitellogenin) in each generation. Results showed that sublethal multigenerational deltamethrin exposure significantly prolonged the developmental period of Ae. albopictus; however, it did not have a significant impact on pupation or eclosion rates. In terms of fecundity, exposure to deltamethrin reduced the relative expression levels of vitellogenin-A1 and vitellogenin-C in Ae. albopictus, which was correlated with reduced reproductive output. Furthermore, there was a reduction observed in both single female oviposition rates and egg hatching success among exposed individuals. These findings highlight sublethal responses that may impact population dynamics and reproductive success in the field, underscoring the importance of considering chronic, low-dose insecticide effects in integrated vector management strategies.
Individuals with high trait anxiety (HA) exhibit maladaptive goal-directed behaviors, which are associated with dysfunctional counterfactual-thinking during decision-making. While lesion studies suggest the causal role of the ventromedial prefrontal cortex (vmPFC) in counterfactual-thinking, its modulatory role in anxiety-related counterfactual decision-making remains uncharacterized. Here, we bridge this gap by examining the characteristics of decision-making (forward counterfactual) and emotion responses (backward counterfactual) in trait anxiety, as well as its underlying modulatory mechanisms by targeting at the vmPFC.
Methods
A counterfactual-thinking paradigm was employed to identify the patterns of goal-directed choice and emotional responses in trait anxiety in experiment 1. In all, 107 participants with varied levels of trait anxiety were recruited and counterfactual indices were modeled. In experiment 2, the high-definition transcranial direct current stimulation (HD-tDCS) was applied to modulate forward and backward counterfactual responses targeting at the vmPFC in HA. Based on the exploratory results of experiment 1, 61 participants with HA were randomly assigned to cathodal or sham stimulation.
Results
High level of anxiety was associated with stronger emotional responses to backward counterfactuals, more anticipations of regret to forward counterfactuals, higher value-expectations to potential rewards, and more risk-taking behaviors. Related to sham, cathodal HD-tDCS over the vmPFC in HA showed normalized sensitivity to anticipated regret, which leads to less risk-taking behaviors during goal-directed decision-making.
Conclusions
The findings provide evidences of disrupted forward and backward counterfactual processing in anxious individuals, wherein the vmPFC plays a modulatory role. Targeting vmPFC with noninvasive stimulation may normalize maladaptive decision patterns in anxiety and anxiety disorders.
Mental disorders are intergenerationally associated, particularly affecting adolescent offspring. However, the extent of such intergenerational associations among adult women in China remains unclear. This study aimed to examine the intergenerational associations of depression and anxiety between two adult female generations.
Methods
This cross-sectional study included 2,130 grandmother-mother dyads from the Grandmothers, Mothers, and Their Children’s Health study. Depression and anxiety of the grandmaternal (G0) and maternal (G1) generations were assessed using the 10-item version of the Center for Epidemiologic Studies Depression Scale and the 7-item Generalized Anxiety Disorder Scale, respectively, with scores of 10 or higher defined as depression and anxiety. Statistical analyses included logistic regression, negative binomial regression, and restricted cubic spline analyses.
Results
A total of 11.4% G0 and 11.5% G1 participants reported depression, and 4.1% G0 and 3.1% G1 participants reported anxiety. Depression in G0 was associated with 4.29-fold (95% CI: 3.09–5.94) and 3.50-fold (95% CI: 1.98–6.01) higher odds of depression and anxiety in G1, respectively, while anxiety in G0 was associated with 3.95-fold (95% CI: 2.41–6.35) and 5.47-fold (95% CI: 2.64–10.60) higher odds of depression and anxiety in G1, respectively; dose–response relationships were also observed. In addition, the intergenerational association of depression was stronger among G0 participants residing in rural areas, whereas G0 depression and anxiety were more strongly associated with anxiety in G1 among those with higher household income.
Conclusions
Mental disorders were intergenerationally associated between mothers and their adult daughters. These findings emphasize the importance of family-based interventions for mental health.
The analysis of archaeological trace residues is offering expanding insights into various aspects of human (pre)history, including developments in medical knowledge. Here, the authors present results from the analysis of two medical instruments (scissors and tweezers) found in a Ming Dynasty (c. 1368–1644 CE) tomb in Jiangyin, China. While the form and composition of the instruments themselves indicate developed understandings of tool production and use, novel application of stimulated Raman scattering microscopy reveals probable traces of aconitine, likely providing direct evidence for the use of this highly toxic substance, possibly administered as a topical anaesthetic, in ancient Chinese surgery.
Bees, as vital pollinators, are currently confronting numerous survival threats. Balanced amino acid nutrient have a positive impact on helping bees to resist pathogens and pesticides. This study aims to explore the interaction between leucine (Leu) and isoleucine (Ile) on key physiological parameters of Apis mellifera ligustica (Apidae: Hymenoptera) colony. The experiment was designed into four distinct dietary groups, including control diet (CK): 6.8 g/kg Leu + 3.9 g/kg Ile; high Ile diet: 6.8 g/kg Leu + 21.9 g/kg Ile; high Leu diet: 43.8 g/kg Leu + 3.9 g/kg Ile; diet with both high L-I: 43.8 g/kg Leu + 21.9 g/kg Ile. The results showed that Leu and Ile, to a considerable extent, promote the growth and vitality of the bee colony, with Ile mitigating Leu-induced absorption inhibition. Leu and Ile synergistically reduced haemolymph triglyceride via upregulated activities of fatty acid synthase and acetyl-CoA carboxylase, and expression of Lipase 1 and adipokinetic hormone receptor compared with CK. Furthermore, L-I treatment increased key activities of immune enzymes like phenol oxidase, lysozyme, glucose oxidase, and altered expression of antimicrobial peptides (abaecin, apidaecin, and defensin 1), indicating coordinated immunomodulation. In conclusion, within the context of this study, 43.8 g/kg Leu and 21.9 g/kg Ile in the artificial pollen substitute feed prove to be beneficial for the nutrient deposition and immunity of individual bees. This work provides a framework for optimising artificial pollen diets, offering experimental guidance towards more effective strategies in sustainable beekeeping.
Anxiety disorders are associated with disrupted amygdala connectivity; however, resting-state functional MRI studies have reported heterogeneous findings. To clarify these inconsistencies, we conducted a meta-analysis of amygdala-based connectivity studies.
Methods
A systematic search of Embase, PubMed, and Web of Science was performed through December 26, 2025. Studies comparing amygdala-based whole-brain resting-state functional connectivity in patients with anxiety disorders versus healthy controls were included. Meta-analysis was conducted with the latest software – Seed-based d Mapping with Permutation of Subject Images (SDM-PSI), which employs voxel-wise tests and multiple corrections to minimize false positives. Subgroup analyses were performed to examine differences by age and hemisphere.
Results
Fifteen datasets (378 patients, 405 controls) were included. Compared to healthy controls, patients with anxiety disorders had decreased amygdala-anterior cingulate cortex (ACC, g = −0.54, 95% confidence interval [CI]: −0.73 to −0.35) connectivity and increased connectivity with the left superior temporal gyrus (g = 0.46, 95% CI: 0.27–0.65), middle temporal gyrus (g = 0.38, 95% CI: 0.19–0.57), and cuneus (g = 0.35, 95% CI: 0.17–0.53). After threshold-free cluster enhancement correction, only reduced amygdala-ACC connectivity remained significant (g = −0.54, 95% CI: −0.73 to −0.35). Subgroup analyses confirmed this effect was driven mainly by adult patients and the left amygdala.
Conclusions
Reduced connectivity between the left amygdala and the ipsilateral ACC was the most robust neuroimaging marker of anxiety disorders, which suggests a lateralized vulnerability. By applying updated analytic methods, this study refines our understanding of the neuropathology of anxiety disorders and provides a potential primary target for biomarker development and novel interventions.
This paper concerns the isentropic compressible Navier–Stokes equations in a three-dimensional (3D) bounded domain with slip boundary conditions and vacuum. It is shown that the classical solutions to the initial-boundary-value problem of this system with large initial energy and vacuum exist globally in time and have an exponential decay rate, which is decreasing with respect to the adiabatic exponent $\gamma \gt 1$ provided that the fluid is nearly isothermal (namely, the adiabatic exponent is close enough to 1). This constitutes an extension of the celebrated result for the one-dimensional Cauchy problem of the isentropic Euler equations that has been established in 1973 by Nishida and Smoller (Comm. Pure Appl. Math. 26 (1973), 183–200). In addition, it is also shown that the gradient of the density will grow unboundedly with an exponential rate when the initial vacuum appears (even at a point). In contrast to previous related works, where either small initial energy is required or boundary effects are absent, this establishes the first result on the global existence and exponential growth of large-energy solutions with vacuum to the 3D isentropic compressible Navier–Stokes equations with slip boundary conditions.