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The linkage between psoriasis and hypertension has been established through observational studies. Despite this, a comprehensive assessment of the combined effects of psoriasis and hypertension on all-cause mortality is lacking. The principal aim of the present study is to elucidate the synergistic impact of psoriasis and hypertension on mortality within a representative cohort of adults residing in the United States. The analysis was conducted on comprehensive datasets derived from the National Health and Nutrition Examination Study spanning two distinct periods: 2003-2006 and 2009-2014. The determination of psoriasis status relied on self-reported questionnaire data, whereas hypertension was characterized by parameters including systolic blood pressure ≥ 140 mmHg, diastolic blood pressure ≥ 90 mmHg, self-reported physician diagnosis, or the use of antihypertensive medication. The assessment of the interplay between psoriasis and hypertension employed multivariable logistic regression analyses. Continuous monitoring of participants' vital status was conducted until December 31, 2019. A four-level variable amalgamating information on psoriasis and hypertension was established, and the evaluation of survival probability utilized the Kaplan-Meier curve alongside Cox regression analysis. Hazard ratios (HRs) and their associated 95% confidence intervals (CIs) were computed to scrutinize the correlation between psoriasis/hypertension and all-cause mortality. In total, this study included 19,799 participants, among whom 554 had psoriasis and 7,692 had hypertension. The findings from the logistic regression analyses indicated a heightened risk of hypertension among individuals with psoriasis in comparison to those devoid of psoriasis. Throughout a median follow-up spanning 105 months, 1,845 participants experienced all-cause death. In comparison to individuals devoid of both hypertension and psoriasis, those with psoriasis alone exhibited an all-cause mortality HR of 0.73 (95% CI: 0.35-1.53), individuals with hypertension alone showed an HR of 1.78 (95% CI: 1.55-2.04), and those with both psoriasis and hypertension had an HR of 2.33 (95% CI: 1.60-3.40). In the course of a stratified analysis differentiating between the presence and absence of psoriasis, it was noted that hypertension correlated with an elevated risk of all-cause mortality in individuals lacking psoriasis (HR 1.77, 95% CI: 1.54-2.04). Notably, this association was further accentuated among individuals with psoriasis, revealing an increased HR of 3.23 (95% CI: 1.47-7.13). The outcomes of our investigation demonstrated a noteworthy and positive association between psoriasis, hypertension, and all-cause mortality. These findings indicate that individuals who have both psoriasis and hypertension face an increased likelihood of mortality.

Quantum efficiencies of organic-inorganic hybrid lead halide perovskite light-emitting devices (LEDs) have increased significantly, but poor device operational stability still impedes their further development and application. All-inorganic perovskites show better stability than the hybrid counterparts, but the performance of their respective films used in LEDs is limited by the large perovskite grain sizes, which lowers the radiative recombination probability and results in grain boundary related trap states. We realize smooth and pinhole-free, small-grained inorganic perovskite films with improved photoluminescence quantum yield by introducing trifluoroacetate anions to effectively passivate surface defects and control the crystal growth. As a result, efficient green LEDs based on inorganic perovskite films achieve a high current efficiency of 32.0 cd A −1 corresponding to an external quantum efficiency of 10.5%. More importantly, our all-inorganic perovskite LEDs demonstrate a record operational lifetime, with a half-lifetime of over 250 h at an initial luminance of 100 cd m −2 . All-inorganic cesium lead bromide perovskite based light-emitting diodes show improved operational stability but the film quality limits their performance. Here Wang et al. use trifluoroacetate anions to passivate defects and achieve excellent device performance and stability.

Real-time, rapid, accurate, and non-destructive batch testing of fruit growth state is crucial for improving economic benefits. However, for plums, environmental variability, multi-scale, occlusion, overlapping of leaves or fruits pose significant challenges to accurate and complete labeling using mainstream algorithms like YOLOv5. In this study, we established the first artificial dataset of plums and used deep learning to improve target detection. Our improved YOLOv5 algorithm achieved more accurate and rapid batch identification of immature plums, resulting in improved quality and economic benefits. The YOLOv5-plum algorithm showed 91.65% recognition accuracy for immature plums after our algorithmic improvements. Currently, the YOLOv5-plum algorithm has demonstrated significant advantages in detecting unripe plums and can potentially be applied to other unripe fruits in the future.

Although being able to meet the TOEFL requirement for college admission, Chinese international students often encounter linguistic challenges during their initial college experiences. Understanding such challenges set the foundation for implementing Linguistically Responsive Instruction (LRI) in higher education. Although well studied in K-12 settings, LRI remains under-researched in higher education. Furthermore, often designed based upon teachers’experiences, little research examines LRI through the lenses of students. In this exploratory qualitative study, we adopt a studentcentered approach to (re)imagine LRI in higher education based on the first-semester experiences of 12 Chinese international freshmen. Drawing upon semi-structured interviews, bilingual language logs, and WeChat observation, our study explores (1) What were Chinese international freshmen’s language and academic experiences during the first half of the semester? (2) What were their experiences throughout the rest of the semester and how do these experiences inform an LRI model to support multilingual students in higher education? The findings address participants’ challenges, coping strategies, and interactions within the university community and highlight the within-group variabilities among Chinese international students. This study emphasizes the need to understand multilingual international students’experiences beyond their TOEFL scores, which paves way for rethinking LRI in higher education through the lenses of students.

Introduction Flat glucose response curves observed during the oral glucose tolerance test (OGTT) in pregnant women are relatively prevalent. This study aimed to investigate the characteristics and perinatal outcomes of Chinese women who presented with flat OGTT curves during pregnancy. Material and Methods A total of 23 576 pregnant women without gestational diabetes mellitus (GDM) were recruited into this study. They were classified into two groups according to the shape of their glucose response curves obtained from OGTTs performed at 24–28 weeks of gestation. The curves were categorized as either flat or normal. Specifically, a flat curve was defined as a less than 16.5% increase in plasma glucose levels during the OGTT, while all other curves were regarded as normal. Logistic regression analysis was employed to examine the associations between these curve types and the risk of perinatal outcomes. Additionally, these relationships were evaluated across different maternal age groups and preconception body mass index (BMI) categories. Results Among the participants, 932 (3.95%) displayed a flat curve, while 22 644 (96.05%) showed a normal curve. Women with a flat curve were significantly younger (p < 0.001) and had a lower BMI (p < 0.001). Compared with those with a normal curve, women with a flat curve had lower incidences of gestational hypertension and preeclampsia. Additionally, neonates born to mothers with a flat curve had lower birth weights and lower occurrences of large for gestational age (LGA) and macrosomia. Logistic regression analyses, using the normal‐curve group as the reference, demonstrated that, regardless of confounder adjustments, the flat‐curve group was associated with a protective effect against gestational hypertension, preeclampsia, LGA, and macrosomia development (all p < 0.05). Moreover, these risks differed according to maternal age and preconception BMI. No significant differences were observed in other maternal or neonatal outcomes. Conclusions A flat OGTT curve is associated with lower birth weight and reduced risks of LGA, macrosomia, gestational hypertension, and preeclampsia. Identifying the flat curve as a protective factor for LGA, macrosomia, gestational hypertension, and preeclampsia, particularly among women with different maternal ages and preconception BMIs, may facilitate personalized risk assessment and management. A flat OGTT curve during pregnancy is associated with lower birth weight, and decreased risks of large for gestational age infants, macrosomia, gestational hypertension, and preeclampsia. Moreover, these risks varied based on maternal age and preconception BMI.

Single Image Super-Resolution (SISR) for image enhancement enables the generation of high spatial resolution in Remote Sensing (RS) images without incurring additional costs. This approach offers a practical solution to obtain high-resolution RS images, addressing challenges posed by the expense of acquisition equipment and unpredictable weather conditions. To address the over-smoothing of the previous SISR models, the diffusion model has been incorporated into RS SISR to generate Super-Resolution (SR) images with enhanced textural details. In this paper, we propose a Diffusion model with Adversarial Learning Strategy (DiffALS) to refine the generative capability of the diffusion model. DiffALS integrates an additional Noise Discriminator (ND) into the training process, employing an adversarial learning strategy on the data distribution learning. This ND guides noise prediction by considering the general correspondence between the noisy image in each step, thereby enhancing the diversity of generated data and the detailed texture prediction of the diffusion model. Furthermore, considering that the diffusion model may exhibit suboptimal performance on traditional pixel-level metrics such as Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity (SSIM), we showcase the effectiveness of DiffALS through downstream semantic segmentation applications. Extensive experiments demonstrate that the proposed model achieves remarkable accuracy and notable visual enhancements. Compared to other state-of-the-art methods, our model establishes an improvement of 189 for Fréchet Inception Distance (FID) and 0.002 for Learned Perceptual Image Patch Similarity (LPIPS) in a SR dataset, namely Alsat, and achieves improvements of 0.4%, 0.3%, and 0.2% for F1 score, MIoU, and Accuracy, respectively, in a segmentation dataset, namely Vaihingen.

Background Early-onset liver cancer is emerging as a critical global health challenge. This study aimed to evaluate the burden of early-onset liver cancer from various perspectives, as well as the contributions of associated risk factors. Methods We utilized data associated with early-onset liver cancer from the Global Burden of Disease study 2021 to assess the incidence and disability-adjusted life year (DALYs) burden. The estimated annual percentage change (EAPC) was also calculated to evaluate temporal trends. Results On a global scale, the disease burden of early-onset liver cancer decreased significantly, whereas only early-onset liver cancer due to nonalcoholic steatohepatitis (NASH) showed an increasing incidence burden. Males had a substantially higher early-onset liver cancer burden compared to females. Regionally, Australasia exhibited the most rapid growth in the age-standardized incidence rate of early-onset liver cancer (EAPC = 3.09). By countries, the highest age-standardized incidence rate was observed in Mongolia (12.93 per 100,000). According to sociodemographic index (SDI), early-onset liver cancer burden demonstrated a significant negative association with SDI. Among risk factors, alcohol use played a leading role in the DALYs, and high body-mass index showed the largest increase over the past 32 years. Additionally, high-income North America accounted for the highest attributable proportions of high body-mass index in 2021. Conclusion Less developed countries bear a heavy burden of early-onset liver cancer, necessitating more effective interventions. Meanwhile, the escalating NASH-related early-onset liver cancer burden highlights the preventive potential of weight control, especially in high-income regions where a high body-mass index predominates.

Polymer composites with high dielectric permittivity ( ε´ ) and breakdown strength ( E b ), low loss, have significant applications in electronics device and electrical equipment. To harvest excellent integrated dielectric properties in molybdenum (Mo)/polyvinylidene fluoride (PVDF), in this study, raw Mo particles were calcined at high temperature to obtain molybdenum oxide (MoO 3 ), followed by the encapsulation of a layer of polystyrene (PS) shell, and the fabricated core@double-shell structured Mo (Mo@MoO 3 @PS) particles were incorporated into PVDF. The measurement outcomes demonstrate the coexistence of the MoO 3 and PS double shells on the surface of raw Mo particle. The first inorganic MoO 3 interlayer massively suppresses the dielectric loss and leakage current of Mo/PVDF because it effectively prevents the direct contact between raw Mo particles. The second organic PS shell not only greatly strengthens the interfacial compatibility with PVDF thereby enhancing the fillers’ homogeneous dispersibility in the matrix, but also further suppresses the conductivity and loss, and improves the E b of the composites owing to its high electrical resistivity. The PVDF with 40 wt% of Mo@MoO 3 @PS exhibits good comprehensive dielectric performances: ε′ of 100 and E b of 7.89 kV/mm, loss factor of 0.058 at 100 Hz. Consequently, the obtained Mo@MoO 3 @PS/PVDF with concurrently high-ε′ and E b but low loss shows promising potential applications in microelectronics and electrical industries.

The maglev vibration isolation system exhibits excellent micro-vibration isolation performance (0.01 Hz to 100 Hz band) in the space environment. However, a collision between the base and the floating platform may occur in an ultra-low frequency range (≤0.01 Hz). To avoid collision, the relative position and attitude between the base and the floating platform needs to be accurately tracked and controlled. In this study, a novel measurement method with four groups of two-dimensional position-sensitive detectors equipped with four laser light sources was proposed. A high-precision relative position and attitude measurement model was established based on the geometric relationship of space coordinates. A proportional-differential (PD) fixed-point control algorithm was adopted to realize tracking control. The control performance of the system was evaluated through simulation. Experiments were also carried out to verify the stability of the system and the precision of the control algorithm. A maglev vibration isolation system prototype was constructed and a test system was established. The proposed relative position and attitude measurement model was verified and the six degrees of freedom relative position and attitude response of the system was tested. Based on the measurement model, the tracking control of the system was proven to have high precision.

•TUS (with a duty cycle of 50%) enhances the amplitude of cerebral blood oxygenation signal evoked by peripheral sensory stimulation.•TUS (with a duty cycle of 50%) reduces the time-frequency characteristics of evoked potential.•TUS (with a duty cycle of 50%) reduces the strength of neurovascular coupling in time domain.•TUS (with a duty cycle of 50%) enhances the strength of neurovascular coupling in frequency domain.•TUS (with a duty cycle of 50%) reduces the time-frequency cross-coupling of neurovasculature. Previous studies have demonstrated that transcranial ultrasound stimulation (TUS) not only modulates cerebral hemodynamics, neural activity, and neurovascular coupling characteristics in resting samples but also exerts a significant inhibitory effect on the neural activity in task samples. However, the effect of TUS on cerebral blood oxygenation and neurovascular coupling in task samples remains to be elucidated. To answer this question, we first used forepaw electrical stimulation of the mice to elicit the corresponding cortical excitation, and then stimulated this cortical region using different modes of TUS, and simultaneously recorded the local field potential using electrophysiological acquisition and hemodynamics using optical intrinsic signal imaging. The results indicate that for the mice under peripheral sensory stimulation state, TUS with a duty cycle of 50% can (1) enhance the amplitude of cerebral blood oxygenation signal, (2) reduce the time-frequency characteristics of evoked potential, (3) reduce the strength of neurovascular coupling in time domain, (4) enhance the strength of neurovascular coupling in frequency domain, and (5) reduce the time-frequency cross-coupling of neurovasculature. The results of this study indicate that TUS can modulate the cerebral blood oxygenation and neurovascular coupling in peripheral sensory stimulation state mice under specific parameters. This study opens up a new area of investigation for potential applicability of TUS in brain diseases related to cerebral blood oxygenation and neurovascular coupling.