Due to its significant applications in many relevant fields, light detection in the solar‐blind deep‐ultraviolet (DUV) wavelength region is a subject of great interest for both scientific and ...industrial communities. The rapid advances in preparing high‐quality ultrawide‐bandgap (UWBG) semiconductors have enabled the realization of various high‐performance DUV photodetectors (DUVPDs) with different geometries, which provide an avenue for circumventing numerous disadvantages in traditional DUV detectors. This article presents a comprehensive review of the applications of inorganic UWBG semiconductors for solar‐blind DUV light detection in the past several decades. Different kinds of DUVPDs, which are based on varied UWBG semiconductors including Ga2O3, MgxZn1−xO, III‐nitride compounds (AlxGa1−xN/AlN and BN), diamond, etc., and operate on different working principles, are introduced and discussed systematically. Some emerging techniques to optimize device performance are addressed as well. Finally, the existing techniques are summarized and future challenges are proposed in order to shed light on development in this critical research field.
Recent advances in developing solar‐blind deep ultraviolet light (DUV) photodetectors based on various inorganic ultrawide‐bandgap semiconductors are reviewed, such as Ga2O3, MgxZn1−xO, III‐nitride compounds (AlxGa1−xN/AlN and BN), and diamonds.
Pansharpening is related to the fusion of a low spatial resolution multispectral (MS) image retaining an abundant spectral content and a high spatial resolution panchromatic (PAN) image to obtain a ...product with both the abundant spectral content of the former and the high spatial resolution of the latter. Many previous studies are only focused on the global or local relationship between the PAN image and the corresponding high-resolution multispectral (HRMS) image. However, we found that the relationship between PAN and HRMS images in the gradient domain can be better explored through the image context. In this article, we propose context-aware details injection fidelity (CDIF) with adaptive coefficients estimation, which can fully explore the complicated relationship between the PAN image and the HRMS image in the gradient domain. More specifically, we apply a clustering method to divide the pixels of an image into different context-based regions. Afterward, the adaptive coefficients are estimated by using a regression-based method for each region. The CDIF is effective in extracting the main features from the two inputs to be fused. In addition, we integrate the CDIF with a conventional fidelity term and a total variation regularization to formulate a novel variational pansharpening model that is solved by designing an algorithm based on the alternating direction method of multiplier (ADMM) framework. Qualitative and quantitative assessments on different datasets support the effectiveness and robustness of the proposed method. The code is available at https://github.com/liangjiandeng/CDIF .
Background and Aim
Clopidogrel is widely prescribed for patients with of aspirin‐related upper gastrointestinal bleeding (UGIB) history. This study aimed to compare the risk of a major adverse ...cardiovascular event (MACE), UGIB, and mortality between aspirin and clopidogrel in patients at risk of bleeding.
Methods
We analyzed adult patients at high risk of UGIB following aspirin‐related bleeding for secondary MACE prevention between 2000 and 2012. Secondary prevention was for those patients who had ever been hospitalized for cardiovascular disease and reused aspirin or changed to clopidogrel after discharge. Study endpoints were recurrence of MACE, UGIB, and death in 90 days of follow‐up. The associations between study outcomes and the use of clopidogrel (vs aspirin) were analyzed.
Results
Among 947 eligible patients, 653 reused aspirin (in combination with a proton‐pump inhibitor), and 294 were treated with clopidogrel (in combination with a proton‐pump inhibitor) after discharge for UGIB. Compared with aspirin treatment, clopidogrel showed an increased risk of MACE (adjusted hazard ratio aHR 1.65; 95% confidence interval CI 0.87–3.12) and UGIB (aHR 1.25; 95% CI 0.66–2.36), but without statistical significance in 90 days' follow‐up. Clopidogrel use was associated with greater than four times the risk of any cause of mortality (aHR 4.84; 95% CI 1.59–14.75), but the significance did not hold in propensity score‐matched cohort analysis (P = 0.06).
Conclusions
A nonsignificant difference between clopidogrel and aspirin for short‐term MACE prevention as well as UGIB recurrence was found in the present study. Further research to assess 90‐day mortality would assist clinical decision making.
Cardiovascular disease (CVD), including heart attack, stroke, heart failure, arrhythmia, and other congenital heart diseases remain the leading cause of morbidity and mortality worldwide. The leading ...cause of deaths in CVD is attributed to myocardial infarction due to the rupture of atherosclerotic plaque. Atherosclerosis refers a condition when restricted or even blockage of blood flow occurs due to the narrowing of blood vessels as a result of the buildup of plaques composed of oxidized lipids. It is well-established that free radical oxidation of polyunsaturated fatty acids (PUFAs) in lipoproteins or cell membranes, termed lipid peroxidation (LPO), plays a significant role in atherosclerosis. LPO products are involved in immune responses and cell deaths in this process, in which previous evidence supports the role of programmed cell death (apoptosis) and necrosis. Ferroptosis is a newly identified form of regulated cell death characterized by the iron-dependent accumulation of lipid hydroperoxides to lethal levels, which exhibits distinct features from apoptosis, necrosis and autophagy in morphology, biochemistry and genetics. Emerging evidence appears to demonstrate that ferroptosis is also involved in CVD. In this review, we summarize the recent progress on ferroptosis in CVD and atherosclerosis, highlighting the role of free radical LPO. The evidence underlying the ferroptosis and challenges in the field will also be critically discussed.
Pansharpening refers to the fusion of a low spatial-resolution multispectral image with a high spatial-resolution panchromatic image. In this paper, we propose a novel low-rank tensor completion ...(LRTC)-based framework with some regularizers for multispectral image pansharpening, called LRTCFPan. The tensor completion technique is commonly used for image recovery, but it cannot directly perform the pansharpening or, more generally, the super-resolution problem because of the formulation gap. Different from previous variational methods, we first formulate a pioneering image super-resolution (ISR) degradation model, which equivalently removes the downsampling operator and transforms the tensor completion framework. Under such a framework, the original pansharpening problem is realized by the LRTC-based technique with some deblurring regularizers. From the perspective of regularizer, we further explore a local-similarity-based dynamic detail mapping (DDM) term to more accurately capture the spatial content of the panchromatic image. Moreover, the low-tubal-rank property of multispectral images is investigated, and the low-tubal-rank prior is introduced for better completion and global characterization. To solve the proposed LRTCFPan model, we develop an alternating direction method of multipliers (ADMM)-based algorithm. Comprehensive experiments at reduced-resolution (i.e., simulated) and full-resolution (i.e., real) data exhibit that the LRTCFPan method significantly outperforms other state-of-the-art pansharpening methods. The code is publicly available at: https://github.com/zhongchengwu/code_LRTCFPan .
Pansharpening (which stands for panchromatic (PAN) sharpening) involves the fusion between a multispectral (MS) image with a higher spectral content than a fine spatial resolution PAN image to ...generate a high spatial resolution MS (HRMS) image. A widely used concept is the construction of the relationship between PAN and HRMS images by designing pixel-based coefficients. Previous pixel-based methods compute the coefficients pixel-by-pixel while suffering from inaccuracies in some areas leading to spatial distortion. However, we found that the coefficients inherit the spatial properties of the HRMS image, e.g., the local smoothness and nonlocal self-similarity, and the spatial correlation between the coefficients and the HRMS image can increase the accuracy of the estimation process. In this article, we propose a novel spatial fidelity with nonlocal regression (SFNLR) to describe the relationship between PAN and HRMS images. Unlike from the pixel-based perspective, the SFNLR can jointly use the local smoothness and nonlocal self-similarity of the coefficients for preserving spatial information. Besides, the SFNLR is integrated with a widely used spectral fidelity to formulate a new variational model for the pansharpening problem. An effective algorithm based on the alternating direction method of multiplier (ADMM) framework is designed to solve the proposed model. Qualitative and quantitative assessments on reduced and full resolution datasets from different satellites demonstrate that the proposed approach outperforms several state-of-the-art methods. The code is available at: https://github.com/Jin-liangXiao/SFNLR .
The purpose of panchromatic (PAN) sharpening, i.e., pansharpening, is to fuse a low spatial resolution multispectral (LRMS) image with a high spatial resolution PAN image, aiming to obtain a high ...spatial resolution multispectral (HRMS) image. Pansharpening models based on variational optimization consist of a spectral fidelity term, a spatial fidelity term, and a regularization term. Most of the methods assume that the existing PAN image and the homologous HRMS image satisfy the global or local linear relationship, which could be far from the real case, thus causing suboptimal performance. Inspired by the nonlinear mapping ability of machine learning (ML) techniques, we propose a novel spatial fidelity term with learnable nonlinear mapping (LNM-SF), which trains an implicit functional operator via a specifically designed convolutional neural network (CNN) and efficiently constructs the nonlinear relationship between the known PAN and the latent HRMS images. Relying upon the above description of the spatial fidelity term, a new variational model with a learnable nonlinear mapping in the spatial fidelity term for pansharpening, named LNM-PS, is simply integrated by the conventional spectral fidelity term into the proposed LNM-SF. To effectively solve the resulting optimization problem, we develop an alternating direction method of multipliers (ADMM)-based algorithm with the fast iterative shrinkage-thresholding algorithm (FISTA) as an inner solver. Extensive numerical experiments on different datasets, assessing the performance both at reduced resolution and full resolution, show the superiority of the proposed LNM-PS method. The code is available at https://github.com/liangjiandeng/-LNM-PS .
In Western countries, breast cancer tends to occur in older postmenopausal women. However, in Asian countries, the proportion of younger premenopausal breast cancer patients is increasing. Increasing ...evidence suggests that the gut microbiota plays a critical role in breast cancer. However, studies on the gut microbiota in the context of breast cancer have mainly focused on postmenopausal breast cancer. Little is known about the gut microbiota in the context of premenopausal breast cancer. This study aimed to comprehensively explore the gut microbial profiles, diagnostic value, and functional pathways in premenopausal breast cancer patients. Here, we analyzed 267 breast cancer patients with different menopausal statuses and age-matched female controls. The α-diversity was significantly reduced in premenopausal breast cancer patients, and the β-diversity differed significantly between breast cancer patients and controls. By performing multiple analyses and classification, 14 microbial markers were identified in the different menopausal statuses of breast cancer. Bacteroides fragilis was specifically found in young women of premenopausal statuses and Klebsiella pneumoniae in older women of postmenopausal statuses. In addition, menopausal-specific microbial markers could exhibit excellent discriminatory ability in distinguishing breast cancer patients from controls. Finally, the functional pathways differed between breast cancer patients and controls. Our findings provide the first evidence that the gut microbiota in premenopausal breast cancer patients differs from that in postmenopausal breast cancer patients and shed light on menopausal-specific microbial markers for diagnosis and investigation, ultimately providing a noninvasive approach for breast cancer detection and a novel strategy for preventing premenopausal breast cancer.
Background and aims
Nicotine is a highly addictive substance in tobacco products that dysregulates several neurotransmitters in the brain and impairs executive function. Non‐invasive brain ...stimulation (NIBS) methods such as repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS) are promising treatments for nicotine dependence. We investigated the efficacy and acceptability of NIBS in managing smoking cessation through a systematic review and network meta‐analysis (NMA).
Methods
We conducted a systematic review to identify randomized controlled trials (RCTs) that investigated the efficacy of NIBS for smoking cessation. All pairwise meta‐analyses and NMA procedures were conducted using random‐effects and frequentist models. The co‐primary outcomes were (1) the change in number of cigarettes smoked per day (change in frequency of smoking) in patients with nicotine dependence after NIBS and (2) acceptability (the dropout rate). The effect sizes for co‐primary outcomes of change in frequency of smoking and acceptability were assessed according to standardized mean difference (SMD) and odds ratio, respectively.
Results
Twelve RCTs with 710 participants (mean age: 44.2 years, 31.2% female) were included. Compared with the sham control, 10‐Hz rTMS over the left dorsolateral prefrontal cortex (DLPFC) was associated with the largest changes in smoking frequency SMD = −1.22, 95% confidence interval (95% CI) = −1.77 to −0.66. The 2‐mA bifrontal tDCS (SMD = −0.97, 95% CI = −1.32 to −0.62) and 10‐Hz deep rTMS over the bilateral DLPFC with cue provocation (SMD = −0.77, 95% CI = −1.20 to −0.34) were associated with a significantly larger decrease in smoking frequency versus the sham. None of the investigated NIBSs was associated with dropout rates significantly different from those of the sham control groups.
Conclusion
Prefrontal non‐invasive brain stimulation interventions appear to reduce the number of cigarettes smoked with good acceptability.
PDF
