To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
This study develops a general theory for analysing a three-dimensional (3-D) acoustofluidic system, which consists of a cavity sandwiched by parallel piezoelectric substrates. The cavity is filled with a fluid and microparticle mixture, whose movements are actuated by surface acoustic waves (SAW) generated by the piezoelectric substrates. In contrast to the formulations based on the velocity potential and streamfunction, we developed a frequency-domain perturbation method to solve the compressible Navier–Stokes equations to obtain the acoustofluidic fields for both inviscid and viscous fluids. These solutions allow for the accurate prediction of the pressure nodal positions within the sandwiched cavity, and the effects of the microfluidic cavity geometry on the pressure nodal position are examined. Our analysis shows that the in-plane pressure-node distribution is controlled by phase modulation, whereas the out-of-plane distribution is governed by the amplitude ratio of the standing SAWs produced by the two parallel substrates. For viscous fluids, a coordinated amplitude–phase modulation strategy is proposed to achieve the desirable wave node distribution. The present theoretical derivations are validated against numerical simulations and laboratory experiments, in terms of both the velocity and pressure fields. This work provides guidelines for the fabrication and operation of acoustofluidic devices, extending current 2-D acoustic control to fully 3-D manipulation of microparticles suspended in the fluid.
This study aimed to investigate the involvement of the Wnt signalling pathway in the pathogenesis of non-obstructive azoospermia (NOA) and to identify potential diagnostic and therapeutic targets. We obtained the gene expression profiles of NOA patients from the GEO database, screened for differentially expressed genes (DEGs) and NOA-associated co-expressing gene modules, then intersected the DEGs with related genes in the Wnt signalling pathway and identified key genes. LASSO regression analysis was used to find hub genes, and qRT-PCR and WB methods were used to verify the expression of key genes in NOA patients. The immune infiltration and GSEA were conducted in order to investigate the relationship between hub genes and immune cells infiltration and NOA-associated pathways; furthermore, we built the miRNA-mRNA-TF regulatory network and predicted possible small molecules drug targets of the hub gene. Four candidate genes were related to NOA: CSNK1G2, GNG3, H2AFB1 and PARD6A. The key hub gene was CSNK1G2 based on the results of the LASSO regression analysis, and its expression level was significantly down-regulated in NOA patients. The immune infiltration analysis and GSEA results showed that the expression level of CSNK1G2 had a close relationship with immune cells infiltration and NOA-related pathways. Furthermore, we built a miRNA-mRNA-TF regulatory network and predicted the possible small molecule drugs of CSNK1G2. Our findings suggest that the Wnt signalling pathway, particularly CSNK1G2, plays a crucial role in the pathogenesis of NOA. CSNK1G2 may be a novel target for the diagnosis and treatment of NOA.
Up to 10–30% of stroke survivors develop dementia. Loneliness has been shown to be a psychosocial risk factor for developing stroke and cognitive impairment in the general population. Stroke survivors are more likely to experience loneliness. However, the contribution of loneliness to post-stroke dementia risk remains unclear.
Objectives
We aimed to investigate the association between loneliness and incident dementia in stroke survivors.
Methods
We included 7,267 UK Biobank (No. 93604) participants with prior stroke (mean age =60.5 ±6.9 years, 55.6% male) without baseline dementia. Loneliness was assessed via two self-report questions (frequency of feeling lonely and frequency of confiding in someone close) and defined as a score of 2 (lonely) vs <2 (not lonely). Incident post-stroke dementia (all-cause) was ascertained from hospital records and death registries. We used Cox cause-specific hazards models to estimate hazard ratios (HRs) adjusted for demographics, socioeconomic status, comorbidities, health behaviours and physiological covariates. We also performed a relative importance analysis to rank risk factors. We calculated the Percentage of Excess Risk Mediated (PERM) by grouping explanatory covariates into categories, such as medication, behaviors, and comorbidities.
Results
Over a median 10.2-year follow-up, 290 stroke survivors developed dementia. Loneliness was significantly associated with a higher risk of dementia (fully-adjusted HR 1.67, 95% CI: 1.12–2.49). In a risk-factor ranking, loneliness was the second most important predictor of post-stroke dementia, ranking ahead of conventional factors such as hypertension and obesity. The association between loneliness and post-stroke dementia was magnified in stroke survivors (HR: 1.67, 95% CI: 1.12–2.49) compared to individuals without stroke (HR: 1.22, 95% CI: 1.07–1.39). 25% of the excess dementia risk associated with loneliness was attributable to diabetes-related factors, with the remainder largely explained by medication, behaviors, comorbidities, and other covariates.
Conclusions
Loneliness is an independent risk factor for developing dementia among stroke survivors. This association is partly mediated by modifiable behavioral and physiological pathways. Our findings highlight loneliness as a prominent, yet addressable, risk factor for post-stroke dementia, underscoring the importance of screening for feelings of loneliness in stroke aftercare.
Post-stroke depression, a prevalent and persistent neuropsychiatric complication, adversely affects stroke recovery outcomes. Almost half of stroke survivors experience social isolation. Yet the contribution of social isolation to post- stroke depression development remains unclear.
Objectives
We investigate the association between social isolation and incident depression in stroke survivors.
Methods
We included 7,267 UK Biobank participants with prior stroke (mean±SD age =60.5 ±6.9 years, 55.6% male) without baseline depression. Degree of social isolation was assessed with three questions: 1) “Including yourself, how many people are living together in your household? (Include those who usually live in the house such as students living away from home during term, partners in the armed forces, or professions such as pilots)” (1 point for living alone); 2) “How often do you visit friends or family or have them visit you?” (1 point for answering rarely, never, or monthly); and 3) “Which of the following [leisure/social activities] do you engage in once a week or more often? You may select more than one” (1 point for none of the above). Incident post-stroke depression was ascertained from hospital records and death registries. We used Cox cause-specific hazards models to estimate hazard ratios (HRs) adjusted for demographics, socioeconomic status, comorbidities, health behaviours and physiological covariates. We also performed a relative importance analysis to rank risk factors. We calculated the Percentage of Excess Risk Mediated (PERM) by grouping explanatory covariates into categories, such as medication, behaviors, and comorbidities.
Results
Over a median 10.2-year follow-up, 591 stroke survivors developed depression. Compared with the least isolated participants, the most isolated group showed a significantly higher risk of depression (HR: 1.35, 95% CI: 1.07-1.70). In a risk-factor ranking, social isolation ranks higher than traditional risk factors, including hypertension and obesity, as a predictor of post-stroke depression. Health behaviors mediated the association between social isolation and elevated depression risk most strongly, accounting for 32-44% (PERM) of the effect. This mediating effect was significantly greater than that explained by medication, comorbidities, and other covariates.
Conclusions
In this population-based cohort study of UK Biobank participants with stroke, social isolation was significantly associated with an increased risk of post-stroke depression. These findings suggest that interventions targeting social connectivity may improve clinical outcomes in stroke survivors.
Psychological adaptability hinges on the dynamic balance between cognitive regulation (self-control) and emotional reactivity (impulsivity, reward/punishment sensitivity). However, traditional variable-centered approaches often fail to capture how these traits holistically co-occur, and the neural architectures predicting their longitudinal transitions in early adulthood remain under-explored.
Methods
This longitudinal study (N = 1,229 baseline; N = 432 2-year follow-up) integrated a person-centered behavioral approach with resting-state fMRI. We employed Latent Profile Analysis (LPA) to identify trait configurations based on self-control, impulsivity, and sensitivity to reward/punishment. Network-Based Statistic (NBS) analysis with family-wise error (FWE) correction was utilized to evaluate functional connectivity differences among groups. Finally, hierarchical regression and formal interaction models were conducted to test the prospective predictive validity of the identified neural circuits.
Results
LPA delineated three distinct baseline profiles: Adaptive, Moderate, and Maladaptive. NBS analysis revealed that the ‘Adaptive’ profile is underpinned by robust cortico-striatal functional connectivity, integrating the medial prefrontal cortex and striatum. Longitudinally, initial regression models demonstrated that the baseline integrity of this circuit prospectively predicted behavioral adaptation at the 2-year follow-up. Furthermore, hierarchical regression and formal interaction analyses confirmed that this cortico-striatal circuit provided significant incremental predictive validity – above and beyond massive baseline behavioral stability – specifically in males.
Conclusions
These findings highlight cortico-striatal integration as a significant, gender-specific prospective predictor of longitudinal adaptation. By bridging person-centered profiling with network neuroscience, this study elucidates the neural correlates supporting future adaptive functioning and psychological resilience during the early adult transition.
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.
With advances in deep learning for signal recovery based on sparse representation, this paper proposes two efficient sparse recovery (SR) networks to solve the target detection problem and generate range-Doppler maps in orthogonal frequency division multiplexing-based passive radar systems. First, by unfolding the alternating direction method of multipliers (ADMM) into a deep network with learnable parameters, a deep unfolding SR-ADMM-Net is developed, which avoids manual parameter configuration and achieves superior performance to ADMM. However, SR-ADMM-Net integrates sparsity prior information into the sparse recovery task via regularization but access only partial data domain knowledge. Therefore, this work proposes another method leveraging generative priors, which is derived from the least squares generative adversarial network (LSGAN) framework and termed SR-LSGAN. Generative priors can capture complex structural features of clutter and target signals, but their effectiveness depends on the solution space of the pre-trained generator. SR-LSGAN leverages prior distributions from the generative model and extends the solution space by dynamically fine-tuning parameters through gradient descent and internal learning, thereby improving recovery accuracy and target detection performance. Experiments on simulated and measured data demonstrate the generalizability and effectiveness of the proposed networks.
Flavanones represent a significant subgroup of flavonoids and offer various advantages for the human body, such as aiding in metabolic regulation and providing antioxidant properties. The objective of this research was to investigate the relationship between dietary flavanones and the prevalence of kidney stones among adults in the USA. Flavanones, including eriodictyol, hesperetin and naringenin, were sourced from the National Health and Nutrition Examination Survey (NHANES) conducted between 2007–2010 and 2017–2018, utilising two 24-h dietary recall interviews. The definition of kidney stones was established through a self-administered questionnaire. To evaluate the relationships between dietary flavanones and kidney stones, a variety of statistical methods were utilised, such as multivariable regression analysis, restricted cubic splines (RCS) and subgroup analysis. Data from 9790 participants were included in this analysis, with 9·67 % of them indicating that they had experienced kidney stones. After adjusting for potential confounding factors, it was found that kidney stones exhibited a negative correlation with total flavanones and naringenin, with OR of 0·96 (95 % CI 0·93, 1·00) and 0·89 (95 % CI 0·80, 0·99) for the highest intake group compared with the lowest intake group. The RCS plot revealed a notable negative linear association between the consumption levels of total dietary flavanones and the risk of kidney stones, including naringenin. The results of the subgroup analysis indicated that no significant interactions were observed in each subgroup. Our research indicated that a higher intake of flavanones correlates with a lowered prevalence of kidney stones in adults.
The pronounced phase noise issue in millimeter-wave (mm-wave) complementary metal oxide semiconductor (CMOS) voltage-controlled oscillators (VCOs) has motivated a wider loop bandwidth in integer-N phase-locked loops (PLLs). In this work, we introduce a quadrature-phase spurious-tone-canceling phase detector (QSC-PD) that decouples the inherent trade-off between PLL loop bandwidth and spurious tone suppression. By incorporating an auxiliary sampling phase detection path, the spurious signals produced by the primary path are effectively canceled without extra power overhead or compromising loop stability. Owing to its high gain, the QSC-PD reduces its own jitter contribution within the loop bandwidth. Furthermore, the QSC-PD facilitates both frequency acquisition and VCO lock detection. Implemented in 0.13 μm SiGe bipolar CMOS technology, the mm-wave PLL attains a spurious tone of −84.5 dBc, a phase noise of −112 dBc/Hz at 1 MHz offset, and a minimum integrated jitter of 57.9 fsrms (1 kHz–300 MHz) at 15.6 GHz. The entire circuit consumes 39.6–44.5 mW.
Significant sex disparities in mental health have been observed amongst resettled refugees, yet how these disparities and their determinants evolve over time remains unclear. This study sought to quantitatively unravel determinants and changes in mental health disparities by sex.
Methods
Data were drawn from Waves 1 (2013–2014), 5 (2017–2018) and 6 (2023) of the 10-year Building a New Life in Australia (BNLA) cohort. Post-traumatic stress disorder (PTSD) and high risk of severe mental illness (HR-SMI) were measured using the PTSD-8 and Kessler-6 scales. Fairlie method was used to quantify the disparity (total predicted probability difference by sex) and the contribution proportion of individual determinants (explained difference/total predicted probability difference × 100%).
Results
A total of 2261 refugees were included at Wave 1, with 1833 (81.1%) and 905 (40.0%) followed up at Waves 5 and 6. Female refugees consistently experienced poor mental health, with the total predicted probability difference decreasing from the initial (Wave 1, 8.3%) to middle stage (Wave 5, 4.6%), then increasing in the long term (Wave 6, 6.3%). Determinants of disparities varied across waves, but poor status of physical health was a persistent contributor of disparities in PTSD (contribution proportion: 57.2%, 71.5% and 63.0% at each wave). Family conflict contributed at the initial (HR-SMI: 4.5%) and long-term stages (PTSD: 8.7%), while financial hardships (PTSD: 13.2%; HR-SMI: 23.2%), marital status (HR-SMI: 24.8%) and family concerns (PTSD: 8.0%) were key determinants at the middle stage. Unmet support or help during COVID-19 was a major contributor at Wave 6 (PTSD: 22.7%; HR-SMI: 8.0%).
Conclusions
Sex disparities exist in refugees’ mental health and require sustained attention and tailored strategies. To promote mental health equity, there is a long-term need to provide essential physical healthcare and financial assistance and address family-related stressors. Additionally, it is important to identify and address the specific psychosocial needs of women in times of crisis such as the COVID-19 pandemic.
Emergency medical technicians (EMTs) often perform patient-handling tasks in emergency settings, posing a high risk of occupational injury. The prevalence of Work-Related Musculoskeletal Disorders (WRMSD) among EMTs has been underestimated due to the lower reporting rate of WRMSD events in Taiwan. This study employed a nationwide safety manual handling survey by integrating the health belief model (HBM) and the transtheoretical model (TTM) to examine behavioral factors influencing the adoption of safety manual handling skills among EMTs.
Methods:
A cross-sectional study was conducted among frontline EMTs in Taiwan, including full-time and volunteer EMTs from fire departments in Taiwan. Data on individual characteristics, WRMSD experiences, six factors of measuring attitude toward safety handling, and behavioral change stages to adopting safety handling via a questionnaire were analyzed using descriptive statistics and multinomial logistic regression to determine the impact of each factor on adopting safe handling techniques.
Results:
A total of 761 participants completed the questionnaire. The lower back was the most frequent WRMSD body part among participants. The most frequent type of patient handling-related injuries was strain/sprain (88.4%). The patient handling-related injuries occurred within 5.3 years after career initiation in 76.9% of participants. The results also indicated that higher perceived benefits and lower perceived barriers increase the odds of being in all TTM stages. The cue to action level was also a predictor for investigating the likelihood of being in each stage of change compared to the reference category.
Conclusion:
Promoting the adoption of safety handling skills is a long-term battle in improving occupational health and safety among EMTs. Perceived benefits, perceived barriers, and cues to action may be the critical factors for designing and implementing the interventions in the future. Future interventions should focus on letting EMTs understand the benefits and barriers of conducting safety manual handling and provide clear, real-world guidance.
Post-traumatic stress disorder (PTSD) may shorten life expectancy, but evidence for Asian populations and cause-specific mortality remains limited. The aim of this study is to investigate the association between PTSD and mortality risk in an Asian population.
Methods
We used Taiwan’s National Health Insurance Research Database (2000–2022) to assemble a cohort of 28,777 individuals with incident PTSD and 115,108 age- and sex-matched unexposed individuals, plus a sibling cohort of 13,305 affected patients and 22,030 unaffected siblings. Cox models estimated adjusted hazard ratios (AHRs) for all-cause, unnatural-cause (suicide and accidents) and natural-cause mortality, with progressive adjustment for sociodemographic factors, comorbidity and familial confounding. Subgroup analyses addressed five psychiatric comorbidities, sex and age (youth, adulthood and older adults).
Results
Over a mean follow-up of 8 years, PTSD was associated with excess all-cause mortality (AHR = 1.32, 95% CI 1.24–1.41) driven by markedly increased unnatural deaths (AHR = 5.93, 5.13–6.85), especially suicide (AHR = 10.36, 8.41–12.76) and accidental deaths (AHR = 2.18, 1.67–2.86). Natural-cause mortality showed no consistent increase (AHR = 0.91, 0.85–0.98). In sibling analyses, excess risks persisted for all-cause (AHR = 2.48, 2.04–3.01), unnatural deaths (AHR = 4.76, 3.58–6.34) and suicide mortality (AHR = 7.90, 5.21–11.97), but not for accidents or natural causes. The risk patterns were similar across different psychiatric comorbidity strata and genders; suicide and unnatural-cause excess remained evident in all age groups.
Conclusions
PTSD was associated with elevated premature death risk in Taiwan, primarily through suicide and unnatural causes. Integrating targeted suicide-prevention into PTSD care pathways may be essential to reducing this avoidable mortality burden.
The studies on the association between maternal gestational weight gain (GWG) and spontaneous preterm birth (SPTB) in twin pregnancies are limited and inconsistent. There are no standardized guidelines for GWG in twin pregnancies in China. This retrospective cohort study included 1510 women who delivered living twins from January 1, 2015 to December 31, 2019. The basic demographics and outcomes of mothers and neonates were listed, and logistic regression was used to analyze the relationship between GWG and SPTB in the total population and different subgroups. In the overall population, 464 (30.7%) women had inadequate GWG, and 316 (20.9%) women had excess GWG. Compared to women with adequate GWG, women with inadequate GWG had a significantly higher risk of SPTB (adjusted odds ratio [aOR]: 2.46, 95% CI [1.92, 3.15]), while women with excess GWG also had a significantly higher risk of SPTB (aOR: 1.48, 95% CI [1.12, 1.95]). Both inadequate GWG and excess GWG had a significantly higher risk of SPTB in normal-weight women and women with dichorionic diamniotic twins. Only IGWG was significantly associated with SPTB in women with monochorionic diamniotic twins and underweight women. Our findings indicate that inadequate GWG and excess GWG were significantly associated with a higher risk of SPTB, providing an empirical basis for establishing weight gain guidelines for women with twin pregnancies in China.