The commercialization of μ‐LED displays is impeded by the persistent obstacle of full‐color representation, particularly when the pixel pitch is scaled down to below 20 µm. The utilization of quantum ...dots (QDs) as color converters has proven effective in mitigating this limitation. To this end, this study proposes the use of perovskite quantum dots papers (PQDPs) as color converters for μ‐LEDs, intending to achieve full‐color display functionality.
Welding is a manufacturing technique that joins metal or other thermoplastic materials in a heated, high-temperature, or high-pressure manner. Harmful dust and the light from welding can cause great ...harm to the human body. In addition, to improve welding quality and efficiency, intelligent welding has become an urgent need in the manufacturing industry. Herein, a dual-station intelligent welding strategy is designed based on an industrial charge-coupled device (CCD) visual detection system and welding control system. This solves the problem of expensive laser vision sensors and the poor detection effect of the visual system under the conditions of a short distance and strong light intensity. In the actual environment, there is the problem of radial distortion that affects the edge of the image, and the problem of the optical axis of the camera not being consistent with the installation plane. In this study, the camera coordinate system and hand-eye coordinate system are calibrated separately. The abovementioned problems are solved, and the images obtained by the CCD are acquired and processed in real-time. Image segmentation was performed using neighbourhood average filtering, iterative threshold segmentation, and local information extraction. The edge amplitude image was obtained by the Prewitt operator. Under the Hough transform method, the recognition of the weld seam and the extraction of weld feature points are realised. We designed an intelligent weld detection system that contains a friendly human-computer interface. Through numerous repeated experiments on circular and square workpieces, the control error of this intelligent welding system is within 0.2 mm, and the time of single seam feature extraction is 0.8 s.
Aluminum Gallium Nitride (AlGaN) ultraviolet‐C (UV‐C) micro‐light‐emitting diodes (microLEDs) offer significant advantages in terms of convenience, cost‐effectiveness, and environmental friendliness, ...positioning them as promising candidates for display applications. However, achieving the desired high efficiency and scalability for large displays with ultra‐fine pixels necessitates substantial progress beyond current experimental outcomes. This study showcases the application of AlGaN UV‐C microLED display panels and micro‐displays incorporating quantum dots (QDs) for color conversion. Sidewall treatment and atomic layer deposited (ALD) passivation effectively address dangling bonds and etching damages, leading to a notable enhancement of TM‐polarized light extraction efficiency (LEE). Moreover, dedicated strain modulation efforts successfully reduce the high Al content (over 50%) wafer bowling effect, facilitating the modularization of ultrafine‐pitch AlGaN UV‐C microLED panels. Consequently, the devices achieve a peak performance of over 5% external quantum efficiency (EQE) as the mesa size scales down to 3 μm. The highlighted 0.18‐inch UV‐C microLED display panels, featuring a 9 μm pixel size, are precisely controlled by a CMOS IC driver to achieve desired patterns. Serving as an efficient pumping source for perovskite quantum dots paper (PQDP), this UV‐C microLED display suggests the potential to revolutionize the full‐color display industry by providing an innovative and unconventional solution.
Aluminum Gallium Nitride (AlGaN) ultraviolet‐C (UV‐C) micro‐light‐emitting diodes (microLEDs) offer significant advantages in terms of convenience, cost‐effectiveness, and environmental friendliness, ...positioning them as promising candidates for display applications. However, achieving the desired high efficiency and scalability for large displays with ultra‐fine pixels necessitates substantial progress beyond current experimental outcomes. This study showcases the application of AlGaN UV‐C microLED display panels and micro‐displays incorporating quantum dots (QDs) for color conversion. Sidewall treatment and atomic layer deposited (ALD) passivation effectively address dangling bonds and etching damages, leading to a notable enhancement of TM‐polarized light extraction efficiency (LEE). Moreover, dedicated strain modulation efforts successfully reduce the high Al content (over 50%) wafer bowling effect, facilitating the modularization of ultrafine‐pitch AlGaN UV‐C microLED panels. Consequently, the devices achieve a peak performance of over 5% external quantum efficiency (EQE) as the mesa size scales down to 3 μm. The highlighted 0.18‐inch UV‐C microLED display panels, featuring a 9 μm pixel size, are precisely controlled by a CMOS IC driver to achieve desired patterns. Serving as an efficient pumping source for perovskite quantum dots paper (PQDP), this UV‐C microLED display suggests the potential to revolutionize the full‐color display industry by providing an innovative and unconventional solution.
The field of next‐generation microdisplays is flourishing. Relevant display technologies, such as mini‐light emission diodes (mini‐LEDs), micro‐organic light emission diodes (micro‐OLEDs), and ...micro‐light emission diodes (micro‐LEDs) are thus in the urgent stage of development. From this perspective, comprehensive and systematical analyzes are conducted for the aforesaid microdisplay configurations. A holistic view of microdisplay technologies is developed with the corresponding performance metrics, providing a path for miscellaneous scenarios. Among these scenarios, the applications in augmented reality (AR), virtual reality (VR), wearable devices, and head‐up displays (HUD) are currently attracting considerable attention for deeper human‐digital interactions. However, there is a multiplicity of obstacles and challenges hindering such development. Nevertheless, recent advances in microdisplay technologies hold tremendous promise for the paradigms of these applications, taking a leap forward for next‐generation microdisplays. This review presents perspectives, relevant materials, and the technology landscape for such ongoing display technologies, offering guidance on the design of advanced microdisplays.
The demand for augmented reality (AR), virtual reality (VR), wearables, and head‐up display (HUD) technology has fueled the rapid growth of next‐generation microdisplays. Despite their promise, challenges remain. This review analyzes performance metrics across various scenarios and provides valuable materials and technology perspectives for ongoing display technology. Our guidance for advanced microdisplay design aims to overcome obstacles and improve the field.
Micro‐light‐emitting diodes (Micro‐LEDs) based on gallium nitride (GaN) materials offer versatile platforms for various applications, including displays, data communication tools, photodetectors, and ...sensors. In particular, the introduction of Micro‐LEDs in the optoelectronic industry enables the development of novel short‐distance wireless communication applications for the Internet of Things as well as near‐to‐eye displays for virtual reality and augmented reality. Micro‐LEDs used in conjunction with colloidal quantum dots (QDs) as color‐conversion layers provide efficient full‐color displays as well as white LEDs for high‐speed visible light communications (VLCs). Here, the latest progress on full‐color Micro‐LED displays with a printed QD color conversion layer, GaN material‐based Micro‐LEDs for VLC systems, and the photostability of novel QD materials for Micro‐LEDs is comprehensively reviewed. Outlooks on the efficiency of Micro‐LEDs with sizes ≤10 µm, QD stability issues, and flexible Micro‐LED displays are also provided.
Micro‐light‐emitting diodes (Micro‐LEDs) based on indium gallium nitride and gallium nitride hold tremendous potential for various applications. The latest progress on Micro‐LEDs with printing quantum dot (QD) conversion layers, novel QD materials and visible light communications systems are comprehensively summarized in this review along with challenges and opportunities.
Aging has been demonstrated to play vital roles in the prognosis and treatment efficacy of cancers, including lung adenocarcinoma (LUAD). This novel study aimed to construct an aging‐related risk ...signature to evaluate the prognosis and immunogenicity of LUAD. Transcriptomic profiles and clinical information were collected from a total of 2518 LUAD patients from 12 independent cohorts. The risk signature was developed by combining specific gene expression with the corresponding regression coefficients. One cohort treated with the immune checkpoint inhibitor (ICI) was also used. Subsequently, a risk signature was developed based on 21 aging‐related genes. LUAD patients with low‐risk scores exhibited improved survival outcomes in both the discovery and validation cohorts. Further immunology analysis revealed elevated lymphocyte infiltration, decreased infiltration of immune‐suppressive cells, immune response‐related pathways, and favorable ICI predictor enrichment in the low‐risk subgroup. Genomic mutation exploration indicated the enhanced mutation burden and higher mutation rates in significantly driver genes of TP53, KEAP1, SMARCA4, and RBM10 were enriched in patients with a low‐risk signature. In the immunotherapeutic cohort, it was observed that low‐risk aging scores were markedly associated with prolonged ICI prognosis. Overall, the estimated aging signature proved capable of evaluating the prognosis, tumor microenvironment, and immunogenicity, which further provided clues for tailoring prognosis prediction and immunotherapy strategies, apart from promoting individualized treatment plans for LUAD patients.
Aging‐related signature predicts favorable outcome and immunogenicity in lung adenocarcinoma.
ABSTRACT
Our previous studies have found that Growth factor receptor‐bound protein 2–associated binding protein 2 (Gab2)—a docking protein—governs the development of fatty liver disease. Here, we ...further demonstrate that Gab2 mediates hepatocarcinogenesis. Compared with a faint expression in para‐carcinoma tissue, Gab2 was highly expressed in ~60–70% of human hepatocellular carcinoma (HCC) specimens. Deletion of Gab2 dramatically suppressed diethylnitrosamine‐induced HCC in mice. The oncogenic effects of Gab2 in HepG2 cells were promoted by Gab2 overexpression but were rescued by Gab2 knockdown. Furthermore, Gab2 knockout in HepG2 cells restrained cell proliferation, migration and tumor growth in nude mice. Signaling pathway analysis with protein kinase inhibitors demonstrated that oncogenic regulation by Gab2 in hepatic cells involved multiple signaling molecules, including ERK, Akt, and Janus kinases (Jaks), especially those that mediate inflammatory signaling. IL‐6 signaling was increased by Gab2 overexpression and impaired by Gab2 deletion via regulation of Jak2 and signal transducer and activator of transcription 3 phosphorylation and the expression of downstream genes, such as Bcl‐2 (B‐cell lymphoma 2), c‐Myc, MMP7 (matrix metalloproteinase‐7), and cyclin D1 in vitro and in vivo. These data indicate that Gab2 mediates the pathologic progression of HCC by integrating multiple signaling pathways and suggest that Gab2 might be a powerful therapeutic target for HCC.—Cheng, J., Zhong, Y., Chen, S., Sun, Y., Huang, L., Kang, Y., Chen, B., Chen, G., Wang, F., Tian, Y., Liu, W., Feng, G.‐S., Lu, Z. Gab2 mediates hepatocellular carcinogenesis by integrating multiple signaling pathways. FASEB J. 31, 5530–5542 (2017). www.fasebj.org
Convolutional neural networks (CNNs) are becoming more and more important for solving challenging and critical problems in many fields. CNN inference applications have been deployed in ...safety-critical systems, which may suffer from soft errors caused by high-energy particles, high temperature, or abnormal voltage. Of critical importance is ensuring the stability of the CNN inference process against soft errors. Traditional fault tolerance methods are not suitable for CNN inference because error-correcting code is unable to protect computational components, instruction duplication techniques incur high overhead, and existing algorithm-based fault tolerance (ABFT) techniques cannot protect all convolution implementations. In this article, we focus on how to protect the CNN inference process against soft errors as efficiently as possible, with the following three contributions. (1) We propose several systematic ABFT schemes based on checksum techniques and analyze their fault protection ability and runtime thoroughly. Unlike traditional ABFT based on matrix-matrix multiplication, our schemes support any convolution implementations. (2) We design a novel workflow integrating all the proposed schemes to obtain a high detection/correction ability with limited total runtime overhead. (3) We perform our evaluation using ImageNet with well-known CNN models including AlexNet, VGG-19, ResNet-18, and YOLOv2. Experimental results demonstrate that our implementation can handle soft errors with very limited runtime overhead (4%<inline-formula><tex-math notation="LaTeX">\sim</tex-math> <mml:math><mml:mo>∼</mml:mo></mml:math><inline-graphic xlink:href="zhao-ieq1-3043449.gif"/> </inline-formula>8% in both error-free and error-injected situations).
Electrocatalytic water splitting into hydrogen is one of the most favorable approaches to produce renewable energy. MoS
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has received great research attention for both hydrogen evolution reaction ...(HER) and oxygen evolution reaction (OER) due to its unique structure and ability to be chemically modified, enabling its electrocatalytic activity to be further enhanced or made comparable to that of Pt-based materials. In this review, we discuss the important fabrication approaches of MoS
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ultrathin nanosheet (MoS
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NS) to improve the intrinsic catalytic activity of bulk MoS
2
. Moreover, several modification strategies involve either morphology modulation or electron structural modulation to improve the charge transfer kinetics, including doping, vacancy, and heterojunction construction or single-atom anchor. Our perspectives on the key challenges and future directions of developing high-performance MoS
2
-based electrocatalysts for overall water splitting are also discussed.
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