The correlation between selenium intake and lung function in asthmatic people: a cross-sectional study.

Objective: This study aimed to examine the correlation between selenium intake and lung function in asthmatic people. Methods: A total of 4,541 individuals in the US National Health and Nutrition Examination Survey (NHANES) were included in this study. Multivariate linear regression, variance inflation factor, restricted cubic splines and quantile regression were used to analyze the relationship between Se intake and lung function. We divided selenium intake into four levels based on quartiles: Q1: Se ≤ 76.75 mcg/d; Q2: 76.75-105.1 mcg/d; Q3: 105.1-137.65 mcg/d; and Q4: Se ≥137.65 mcg/d. Results: Asthma was negatively associated with the Ratio of Forced Expiratory Volume 1st Second to Forced Vital Capacity (FEV1/FVC) (ß = -0.04, 95% CI: -0.06 to -0.02) and FEV1 (ß = -215, 95% CI: -340 to -90). Se intake was positively associated with Forced Expiratory Volume 1st Second (FEV1) (ß =3.30 95% CI: 2.60 to 4.00) and Forced Vital Capacity (FVC) (ß =4.30, 95% CI: 3.50 to 5.10). In asthmatic individuals, the positive effects of Se intake on FVC were enhanced with increasing Se intake, while the positive effects of Se intake on FEV1 varied less dramatically. High Se intake (Q4 level, above 137.65 mcg/d) improved FVC (ß = 353, 95% CI: 80 to 626) and FEV1 (ß = 543, 95% CI: 118 to 969) in asthmatic patients compared to low Se intake (Q1 level, below 76.75 mcg/d). At the Q2 level (76.75-105.1 mcg/d) and Q4 level (Se ≥137.65 mcg/d) of Se intake, the correlation between FEV1 and asthma disappeared. Conclusion: Our research has revealed a positive correlation between selenium intake and lung function in asthma patients and the strength of this positive correlation is related to the amount of selenium intake. We recommend that asthma patients consume 137.65 mcg to 200 mcg of selenium daily to improve pulmonary function while avoiding the adverse effects of selenium on the human body.

Cumulative blood pressure predicts risk of stroke in individuals with type 2 diabetes.

AIMS: To determine whether cumulative blood pressure (BP) could predict stroke in individuals with type 2 diabetes (T2D). METHODS: BP levels at baseline and the initial three visits were obtained from individuals participating in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial who had not experienced a stroke. Cumulative elevations in BP were assessed by adding the weighted mean BP values at various time intervals. The association of cumulative BP with stroke was evaluated by a multivariate-adjusted Cox proportional hazard model analysis. RESULTS: Overall, 8282 participants were included (62.10% males and 37.90% females; mean age, 62.73 years). With a median follow-up period of 6.36 years, 324 (3.91%) and 305 (3.68%) patients had any and nonfatal stroke events, respectively. Only baseline systolic BP (SBP) independently predicted any stroke after adjustment for potential confounders, whereas cumulative SBP and pulse pressure independently predicted elevated stroke events. A strong dose-response relationship between cumulative BP and stroke was identified, and conventional risk factors combined with cumulative SBP improved prediction efficiency. CONCLUSION: Cumulative SBP independently predicts stroke in individuals with T2D and provides an incremental predictive value for stroke compared with baseline BP assessments. TRIAL REGISTRATION: URL: http://www. CLINICALTRIALS: gov. Unique identifier: NCT00000620).

Joint Fusion and Detection via Deep Learning in UAV-Borne Multispectral Sensing of Scatterable Landmine.

Compared with traditional mine detection methods, UAV-based measures are more suitable for the rapid detection of large areas of scatterable landmines, and a multispectral fusion strategy based on a deep learning model is proposed to facilitate mine detection. Using the UAV-borne multispectral cruise platform, we establish a multispectral dataset of scatterable mines, with mine-spreading areas of the ground vegetation considered. In order to achieve the robust detection of occluded landmines, first, we employ an active learning strategy to refine the labeling of the multispectral dataset. Then, we propose an image fusion architecture driven by detection, in which we use YOLOv5 for the detection part, to improve the detection performance instructively while enhancing the quality of the fused image. Specifically, a simple and lightweight fusion network is designed to sufficiently aggregate texture details and semantic information of the source images and obtain a higher fusion speed. Moreover, we leverage detection loss as well as a joint-training algorithm to allow the semantic information to dynamically flow back into the fusion network. Extensive qualitative and quantitative experiments demonstrate that the detection-driven fusion (DDF) that we propose can effectively increase the recall rate, especially for occluded landmines, and verify the feasibility of multispectral data through reasonable processing.

A multi-slot coaxial microwave antenna for liver tumor ablation.

This paper presents a multi-slot coaxial antenna with a pi impedance matching network for liver tumor ablation. A multi-slot radiating probe was optimized by using the modified genetic algorithm to produce a near-spherical heating zone with significantly increased possibility of conformal treatment. A pi impedance matching network was designed to match the feeding transmission line and antenna without increasing antenna size. The reflection coefficient, ablation zone shape, specific absorption rate, and temperature were determined by a finite element electromagnetic simulation using COMSOL. Experimental validations were designed to evaluate the proposed antenna. Both simulation and experimental results show that the proposed antenna has the ability for liver tumor ablation, which offers faster heating rates in the heating center and more localized heating distribution than the conventional single-slot antenna.

An effective method for monitoring tissue temperature using low-field MRI system.

This technical note describes an effective method for monitoring temperature based on the minimum curvature surface fitting (MCSF) referenceless proton resonance frequency shift (PRFs) at 0.35 T. Experimental tests on phantom, ex vivo porcine livers and human brain were conducted. A comparison study between the proposed method and a fiber optic temperature probe was conducted for microwave (MW) ablation. Experimental results showed that temperature root mean square error (RMSE) calculated by MCSF model were lower than those computed by high-order polynomial fitting. For ablation experiments, the temperature errors between temperature probe and MCSF method were all less than 2∘C.

Quantitative MR thermometry based on phase-drift correction PRF shift method at 0.35 T.

BACKGROUND: Noninvasive magnetic resonance thermometry (MRT) at low-field using proton resonance frequency shift (PRFS) is a promising technique for monitoring ablation temperature, since low-field MR scanners with open-configuration are more suitable for interventional procedures than closed systems. In this study, phase-drift correction PRFS with first-order polynomial fitting method was proposed to investigate the feasibility and accuracy of quantitative MR thermography during hyperthermia procedures in a 0.35 T open MR scanner. METHODS: Unheated phantom and ex vivo porcine liver experiments were performed to evaluate the optimal polynomial order for phase-drift correction PRFS. The temperature estimation approach was tested in brain temperature experiments of three healthy volunteers at room temperature, and in ex vivo porcine liver microwave ablation experiments. The output power of the microwave generator was set at 40 W for 330 s. In the unheated experiments, the temperature root mean square error (RMSE) in the inner region of interest was calculated to assess the best-fitting order for polynomial fit. For ablation experiments, relative temperature difference profile measured by the phase-drift correction PRFS was compared with the temperature changes recorded by fiber optic temperature probe around the microwave ablation antenna within the target thermal region. RESULTS: The phase-drift correction PRFS using first-order polynomial fitting could achieve the smallest temperature RMSE in unheated phantom, ex vivo porcine liver and in vivo human brain experiments. In the ex vivo porcine liver microwave ablation procedure, the temperature error between MRT and fiber optic probe of all but six temperature points were less than 2 °C. Overall, the RMSE of all temperature points was 1.49 °C. CONCLUSIONS: Both in vivo and ex vivo experiments showed that MR thermometry based on the phase-drift correction PRFS with first-order polynomial fitting could be applied to monitor temperature changes during microwave ablation in a low-field open-configuration whole-body MR scanner.

[Preliminary comparison and analysis of prescription content in Dongeuibogam (Treasured Mirror of Eastern Medicine) and Wanbinghuichun (Recovery from all ailments)].

By making a comparison of nineteen prescriptions cited from Wanbinghuichun (Recovery from all ailments) in "Dongeuibogam.Neijingpianyi" (Treasured Mirror of Eastern Medicine.First Chapter of Interior), it can be seen that XU Jun did not cite the original text from Chinese ancient medical works but had his own editorial opinion, especially in the modifications and adjustments to the original text of Wanbinghuichun (Recovery from all ailments), referring to XU Jun's own clinical experiences and taking into account local conditions specific to Korea, a step in the localization of TCM in Korea is evident.