YI ZHOU - Academia.edu (original) (raw)

Papers by YI ZHOU

Research paper thumbnail of Identification of shared gene signatures and molecular mechanisms between chronic kidney disease and ulcerative colitis

Frontiers in Immunology

BackgroundThere is a complex interaction between chronic kidney disease (CKD) and ulcerative coli... more BackgroundThere is a complex interaction between chronic kidney disease (CKD) and ulcerative colitis (UC), but the pathophysiological mechanisms underlying the coexistence of CKD and UC are unclear. This study aimed to investigate the key molecules and pathways that may mediate the co-occurrence of CKD and UC through quantitative bioinformatics analysis based on a public RNA-sequencing database.MethodsThe discovery datasets of CKD (GSE66494) and UC (GSE4183), as well as validation datasets of CKD (GSE115857) and UC (GSE10616), were downloaded from the Gene Expression Omnibus (GEO) database. After identifying differentially expressed genes (DEGs) with GEO2R online tool, the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses for the DEGs were performed. Next, protein-protein interaction network was constructed with Search Tool for the Retrieval of Interacting Genes (STRING) and visualized by Cytoscape. Gene modules were identified by the ...

Research paper thumbnail of Assessment of Ecological Environment Quality in Rare Earth Mining Areas Based on Improved RSEI

Sustainability

In past decades, the reckless exploitation of rare earth mines devastated the ecological environm... more In past decades, the reckless exploitation of rare earth mines devastated the ecological environment. Under strict regulation and governance, the exploitation has gradually gotten back on track in recent years. In this regard, timely and accurate assessment of the ecological environment quality of rare earth management areas is indispensable for regional mine development planning, ecological protection, and sustainable development. Being relatively objective and providing instant results, the Remote Sensing Ecological Index (RSEI) is widely used in evaluating ecological environment quality. This paper combined Landsat 8 OLI multispectral imagery with meteorological, land type, and other data to set the Net Primary Productivity (NPP). The NPP reflects detailed regional vegetation destruction and climate variation, the greenness index of RSEI. We also used kernel principal component analysis (KPCA) to obtain the improved ecological index K-RSEINPP while evaluating the ecological envir...

Research paper thumbnail of Optimisation of Cable Dome Structure Design for Progressive Collapse Resistance

Applied Sciences

Since the literature lacks an effective analysis method of collapse mechanisms and optimisation d... more Since the literature lacks an effective analysis method of collapse mechanisms and optimisation design theory for progressive collapse resistance of cable dome structure, a structural performance-based optimisation approach was proposed to improve the progressive collapse resistance for cable dome structures in this study. First, the dynamic response and collapse model of a cable dome structure were analysed after its members were removed using Ansys LS-DYNA and the full dynamic equivalent load-based instantaneous unloading method. Second, the importance coefficients of the members were calculated to determine the contribution of each member to the progressive collapse resistance of the structure. Finally, a stepwise optimisation solution was proposed by integrating a global optimisation model, which uses the mean of the importance coefficients of all members as the optimisation index, with a local optimisation model, which minimises the maximum member importance coefficient. The re...

Research paper thumbnail of Phase separation of insulin receptor substrate 1 drives the formation of insulin/IGF-1 signalosomes

Cell Discovery

As a critical node for insulin/IGF signaling, insulin receptor substrate 1 (IRS-1) is essential f... more As a critical node for insulin/IGF signaling, insulin receptor substrate 1 (IRS-1) is essential for metabolic regulation. A long and unstructured C-terminal region of IRS-1 recruits downstream effectors for promoting insulin/IGF signals. However, the underlying molecular basis for this remains elusive. Here, we found that the C-terminus of IRS-1 undergoes liquid-liquid phase separation (LLPS). Both electrostatic and hydrophobic interactions were seen to drive IRS-1 LLPS. Self-association of IRS-1, which was mainly mediated by the 301–600 region, drives IRS-1 LLPS to form insulin/IGF-1 signalosomes. Moreover, tyrosine residues of YXXM motifs, which recruit downstream effectors, also contributed to IRS-1 self-association and LLPS. Impairment of IRS-1 LLPS attenuated its positive effects on insulin/IGF-1 signaling. The metabolic disease-associated G972R mutation impaired the self-association and LLPS of IRS-1. Our findings delineate a mechanism in which LLPS of IRS-1-mediated signaloso...

Research paper thumbnail of Case report: Brucellosis with rare multiple pulmonary nodules in a depressed patient

Frontiers in Medicine

BackgroundBrucellosis is a zoonotic disease that threatens public health and creates an economic ... more BackgroundBrucellosis is a zoonotic disease that threatens public health and creates an economic burden. Unfortunately, it is often overlooked in developing countries, with misdiagnosis causing negative impacts on those with low income. Although the symptoms of brucellosis are commonly reported as fever and fatigue, rare pulmonary, and psychiatric involvements should also be considered. We present the first brucellosis patient in China with multiple pulmonary nodules and depression. Furthermore, this report highlights the importance of collecting patient history in epidemic areas of brucellosis.Case presentationWe report the case of a 40-year-old woman with intermittent fever for 2 months and gradually accompanied by chills, dry cough, arthralgia, and fatigue. The patient was also diagnosed with depression after fever. She received symptomatic treatment at a regional hospital; however, there was no significant symptom relief. She suddenly developed hemoptysis 1 day prior to arrival ...

Research paper thumbnail of Generating Ultralong-Superoscillation Nondiffracting Beams with Full Control of the Intensity Profile

Physical Review Applied

Nondiffracting light beams receive substantial attention in various areas due to their properties... more Nondiffracting light beams receive substantial attention in various areas due to their properties of diffractionless propagation and achievable subwavelength beam size. Extending the propagation distance and compressing the beam size of nondiffracting beams are crucial to their practical applications. However, it remains challenging to achieve nondiffracting light beams with a subwavelength subdiffracting transverse size and a long propagation distance with controllable intensity profiles in both transverse and longitudinal directions. Here, we propose an optimization method to generate an ultralong-superoscillation nondiffracting light beam with full control of the beam intensity profile. A 45λ-long-superoscillation nondiffracting light beam, the transverse sizes of which are within the range of 0.37λ-0.4λ along the propagation axis, is experimentally demonstrated by a metalens based on continuous phase modulation using geometrical phase metasurfaces. Our method provides an attractive way to controllably generate ultralongsuperoscillation nondiffracting beams on a subwavelength scale and might find fascinating applications in optical manipulation, materials processing, data storage, microscopy, and spectroscopy.

Research paper thumbnail of Combination of Chinese medicinal formulas and chemotherapy for triple-negative breast cancer strengthens body resistance to eliminate pathogenic factors

Research paper thumbnail of PSA-Cache: A Page-State-Aware Cache Scheme for boosting 3D NAND Flash Performance

ACM Transactions on Storage

Garbage collection (GC) plays a pivotal role in the performance of 3D NAND flash memory, where Co... more Garbage collection (GC) plays a pivotal role in the performance of 3D NAND flash memory, where Copyback has been widely used to accelerate valid page migration during GC. Unfortunately, copyback is constrained by the parity symmetry issue: data read from an odd/even page must be written to an odd/even page. After migrating two odd/even consecutive pages, a free page between the two migrated pages will be wasted. Such wasted pages noticeably lower free space on flash memory and cause extra GCs, thereby degrading SSD performance. To address this problem, we propose a page-state-aware cache scheme called PSA-Cache , which prevents page waste to boost the performance of NAND Flash-based SSDs. To facilitate making write-back scheduling decisions, PSA-Cache regulates write-back priorities for cached pages according to the state of pages in victim blocks. With high write-back-priority pages written back to flash chips, PSA-Cache effectively fends off page waste by breaking odd/even consecu...

Research paper thumbnail of A super-oscillatory step-zoom metalens for visible light

Beilstein Journal of Nanotechnology

In recent years, the super-oscillation method based on the fine interference of optical fields ha... more In recent years, the super-oscillation method based on the fine interference of optical fields has been successfully applied to sub-diffraction focusing and super-resolution imaging. However, most previously reported works only describe static super-oscillatory lenses. Super-oscillatory lenses using phase-change materials still have issues regarding dynamic tunability and inflexibility. Therefore, it is vital to develop a flexible and tunable modulation approach for super-oscillatory lenses. In this paper, we propose a super-oscillatory step-zoom lens based on the geometric phase principle, which can switch between two focal lengths within a certain field of view. The designed device consists of nanopillars with high efficiency of up to 80%, and the super-resolution focusing with 0.84 times of diffraction limit is verified by the full-wave simulation. The proposed method bears the potential to become a useful tool for label-free super-resolution microscopic imaging and optical preci...

Research paper thumbnail of Design Optimisation of a Cable–Strut Tensile Structure According to the Importance of Elements

Buildings

In this study, the design of a flexible cable–strut tensile structure was optimised according to ... more In this study, the design of a flexible cable–strut tensile structure was optimised according to the importance of elements to achieve high structural robustness. First, the importance coefficients of elements were determined by comparing their structural prefailure and postfailure strain energy. Moreover, the effects of the external load, the initial prestress, and the cross-sectional areas of elements on the importance coefficients were analysed. Second, a genetic algorithm was used to optimise element section design and minimise the maximum importance coefficient. Third, an optimised cable arrangement scheme was developed by adding an alternative load transfer path to the outer hoop cable with the highest importance coefficient. In this scheme, outer elements have a Levy-type arrangement rather than a Geiger-type arrangement so that a Geiger–Levy composite cable dome is formed. Finally, the cable arrangement and element section design for the aforementioned scheme were comprehens...

Research paper thumbnail of Robust Achromatic All-Dielectric Metalens for Infrared Detection in Intelligent Inspection

Sensors

Metalens has the advantages of high design freedom, light weight and easy integration, thus provi... more Metalens has the advantages of high design freedom, light weight and easy integration, thus provides a powerful platform for infrared detection. Here, we numerically demonstrated a broadband achromatic infrared all-dielectric metalens over a continuous 800 nm bandwidth, with strong environmental adaptability in air, water and oil. By building a database with multiple 2π phase coverage and anomalous dispersions, optimizing the corrected required phase profiles and designing the sizes and spatial distributions of silicon nanopillars, we numerically realized the design of broadband achromatic metalens. The simulation results of the designed metalens show nearly constant focal lengths and diffraction-limited focal spots over the continuous range of wavelengths from 4.0 to 4.8 μm, indicating the ability of the designed metalens to detect thermal signals over a temperature range from various fault points. Further simulation results show that the metalens maintains good focusing performanc...

Research paper thumbnail of Exploring the Underlying Mechanism of Ren-Shen-Bai-Du Powder for Treating Inflammatory Bowel Disease Based on Network Pharmacology and Molecular Docking

Pharmaceuticals

Ren-Shen-Bai-Du Powder (RSBDP) is currently used for inflammatory bowel disease (IBD) therapy in ... more Ren-Shen-Bai-Du Powder (RSBDP) is currently used for inflammatory bowel disease (IBD) therapy in China. However, its potential mechanism against IBD remains unknown. In this study, we initially identified potential targets of RSBDP against IBD through network pharmacology analysis and molecular docking. Afterwards, the DSS-induced colitis mice model was employed to assess the effects of RSBDP. The results of network pharmacology indicated that a total of 39 main active ingredients in RSBDP generated 309 pairs of drug-ingredient and ingredient-target correspondences through 115 highly relevant targets of IBD. The primary ingredients (quercetin, kaempferol, luteolin, naringenin, and sitosterol) exerted functions through multiple targets that include CYP1B1, CA4/7, and ESR1/2, etc. GO functional enrichment analysis revealed that the targets related to IBD were significantly enriched in the oxidation-reduction process, protein binding, and cytosol. Per the KEGG pathway analysis, pathway...

Research paper thumbnail of Doublet Metalens with Simultaneous Chromatic and Monochromatic Correction in the Mid-Infrared

Sensors

Metalenses provide a powerful paradigm for mid-infrared (MIR) imaging and detection while keeping... more Metalenses provide a powerful paradigm for mid-infrared (MIR) imaging and detection while keeping the optical system compact. However, the design of MIR metalenses simultaneously correcting chromatic aberration and off-axis monochromatic aberration remains challenging. Here, we propose an MIR doublet metalens composed of a silicon aperture metalens and a silicon focusing metalens separated by a fused silica substrate. By performing ray-tracing optimization and particle-swarm optimization, we optimized the required phase profiles as well as the sizes and spatial distributions of silicon nanopillars of the doublet metalens. Simulation results showed that the MIR doublet metalens simultaneously achieved chromatic and off-axis monochromatic aberration reduction, realizing a continuous 400 nm bandwidth and 20° field-of-view (FOV). Thanks to its planar configuration, this metalens is suitable for integration with CMOS image sensor to achieve MIR imaging and detection, which has potential ...

Research paper thumbnail of Multiple-Wavelength Achromatic Superresolution Focusing with Optimized Constructive Interference

Physical Review Applied

Recently, there has been growing interest in developing superresolution lenses to focus light bey... more Recently, there has been growing interest in developing superresolution lenses to focus light beyond the conventional diffraction limit in the far field. Achromatic superresolution is particularly attractive for many practical applications. However, it remains a great challenge to realize an achromatic superresolution focusing lens with both a high numerical aperture and a small depth of focus, which is critical for superresolution imaging with high longitudinal resolution. Here, a method for preparing a multiwavelength achromatic superresolution lens with a high numerical aperture is proposed to control the wave front through a binary-phase zone plate for generating a transverse superresolution focal spot with a small depth of focus. The approach is experimentally verified with an achromatic superresolution lens with a high numerical aperture of 0.95 at six wavelengths in the visible range between 405 and 684 nm. The proposed method is practical for superresolution-related applications, including imaging, microscopy, and data storage.

Research paper thumbnail of DarkVisionNet: Low-Light Imaging via RGB-NIR Fusion with Deep Inconsistency Prior

Proceedings of the AAAI Conference on Artificial Intelligence

RGB-NIR fusion is a promising method for low-light imaging. However, high-intensity noise in low-... more RGB-NIR fusion is a promising method for low-light imaging. However, high-intensity noise in low-light images amplifies the effect of structure inconsistency between RGB-NIR images, which fails existing algorithms. To handle this, we propose a new RGB-NIR fusion algorithm called Dark Vision Net (DVN) with two technical novelties: Deep Structure and Deep Inconsistency Prior (DIP). The Deep Structure extracts clear structure details in deep multiscale feature space rather than raw input space, which is more robust to noisy inputs. Based on the deep structures from both RGB and NIR domains, we introduce the DIP to leverage the structure inconsistency to guide the fusion of RGB-NIR. Benefits from this, the proposed DVN obtains high-quality low-light images without the visual artifacts. We also propose a new dataset called Dark Vision Dataset (DVD), consisting of aligned RGB-NIR image pairs, as the first public RGB-NIR fusion benchmark. Quantitative and qualitative results on the propose...

Research paper thumbnail of The Impact of Dietary Diversity, Lifestyle, and Blood Lipids on Carotid Atherosclerosis: A Cross-Sectional Study

Nutrients

Carotid atherosclerosis is a common arterial wall lesion that causes narrowing and occlusion of t... more Carotid atherosclerosis is a common arterial wall lesion that causes narrowing and occlusion of the arteries and is the basis of cardiovascular events. Dietary habits, lifestyle, and lipid metabolism should be considered integrally in the context of carotid atherosclerosis (CAS). However, this area has been investigated less often in China. To understand the prevalence of CAS in China and the impact of dietary diversity and habits, lifestyle, and lipid metabolism on CAS as well as its predictive factors, a cross-sectional study was performed in two northern and southern Chinese tertiary hospitals from 2017 to 2019. Included participants underwent carotid artery color Doppler ultrasonography, blood lipid examination and dietary evaluation. In total, 11,601 CAS patients and 27,041 individuals without carotid artery lesions were included. The prevalence of CAS was 30.0% in this group. High BMI (OR: 1.685, 95% CI [1.315–2.160]), current (1.148 [1.077–1.224]) or ex-smoking (1.349 [1.190–...

Research paper thumbnail of The Warming Effect of Urbanization in the Urban Agglomeration Area Accelerates Vegetation Growth on the Urban–Rural Gradient

Remote Sensing

Urbanization has changed the environmental conditions of vegetation growth, such as the heat isla... more Urbanization has changed the environmental conditions of vegetation growth, such as the heat island effect, which has an indirect impact on vegetation growth. However, the extent to which the direct and indirect effects of the thermal environment changes caused by urbanization on vegetation growth are unclear. In this study, taking the example of the Guangdong–Hong Kong–Macao Greater Bay Area, a fast-growing national urban agglomeration in China, the relationship between vegetation growth and warming conditions during the period from 2001 to 2020 were explored by the net primary productivity (NPP) and land surface temperature (LST), based on the vegetation growth theory, in urban environments. The results show that there is a significant exponential relationship between the warming and the growth of large-scale vegetation. This relationship is mainly attributable to thermal environmental factors, since their multi-year average contribution rate on the interannual scale is 95.02%. Th...

Research paper thumbnail of Kinetic Tensegrity Grids with 3D Compressed Components

Proceedings of the 29th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA)

This paper details a series of preliminary explorations into the concept of kinetic tensegrity gr... more This paper details a series of preliminary explorations into the concept of kinetic tensegrity grids that can respond to stimuli by changing their shape, porosity, and transparency. The research presented explores double-layer tensegrity grids that utilize 3D "compressed" components. A case study demonstrates their applicability to the formation of sophisticated building envelopes that can actively or passively respond to changes in the environment. A computational form-finding tool is introduced to study design variations in real time. This tool is shown to expand the design spectrum by supporting increased complexity and revealing unexpected design potential. This research is significant as it outlines a practical methodology for conceiving responsive building systems. In particular, it illustrates an approach that synthesizes design concerns with engineering and fabrication goals.

Research paper thumbnail of Towards Deep Radar Perception for Autonomous Driving: Datasets, Methods, and Challenges

Sensors

With recent developments, the performance of automotive radar has improved significantly. The nex... more With recent developments, the performance of automotive radar has improved significantly. The next generation of 4D radar can achieve imaging capability in the form of high-resolution point clouds. In this context, we believe that the era of deep learning for radar perception has arrived. However, studies on radar deep learning are spread across different tasks, and a holistic overview is lacking. This review paper attempts to provide a big picture of the deep radar perception stack, including signal processing, datasets, labelling, data augmentation, and downstream tasks such as depth and velocity estimation, object detection, and sensor fusion. For these tasks, we focus on explaining how the network structure is adapted to radar domain knowledge. In particular, we summarise three overlooked challenges in deep radar perception, including multi-path effects, uncertainty problems, and adverse weather effects, and present some attempts to solve them.

Research paper thumbnail of Metal Additive Manufacturing of Plastic Injection Molds with Conformal Cooling Channels

Polymers

Conformal cooling channels (CCCs) are widely used in the plastic injection molding process to imp... more Conformal cooling channels (CCCs) are widely used in the plastic injection molding process to improve the product quality and operational performance. Tooling that incorporates CCCs can be fabricated through metal additive manufacturing (MAM). The present work focuses on the MAM of a plastic injection mold insert with different CCC types that are circular, serpentine, and tapered channels with/without body-centered cubic (BCC) lattices. The entire manufacturing process of the mold insert is explained from the design step to the final printing step including the computational thermal & mechanical simulations, performance assessments, and multiobjective optimization. Compared to the traditional channels, conformal cooling channels achieved up to 62.9% better cooling performance with a better thermal uniformity on the mold surface. The optimum mold geometry is decided using the multiobjective optimization procedure according to the multiple objectives of cooling time, temperature non-u...

Research paper thumbnail of Identification of shared gene signatures and molecular mechanisms between chronic kidney disease and ulcerative colitis

Frontiers in Immunology

BackgroundThere is a complex interaction between chronic kidney disease (CKD) and ulcerative coli... more BackgroundThere is a complex interaction between chronic kidney disease (CKD) and ulcerative colitis (UC), but the pathophysiological mechanisms underlying the coexistence of CKD and UC are unclear. This study aimed to investigate the key molecules and pathways that may mediate the co-occurrence of CKD and UC through quantitative bioinformatics analysis based on a public RNA-sequencing database.MethodsThe discovery datasets of CKD (GSE66494) and UC (GSE4183), as well as validation datasets of CKD (GSE115857) and UC (GSE10616), were downloaded from the Gene Expression Omnibus (GEO) database. After identifying differentially expressed genes (DEGs) with GEO2R online tool, the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses for the DEGs were performed. Next, protein-protein interaction network was constructed with Search Tool for the Retrieval of Interacting Genes (STRING) and visualized by Cytoscape. Gene modules were identified by the ...

Research paper thumbnail of Assessment of Ecological Environment Quality in Rare Earth Mining Areas Based on Improved RSEI

Sustainability

In past decades, the reckless exploitation of rare earth mines devastated the ecological environm... more In past decades, the reckless exploitation of rare earth mines devastated the ecological environment. Under strict regulation and governance, the exploitation has gradually gotten back on track in recent years. In this regard, timely and accurate assessment of the ecological environment quality of rare earth management areas is indispensable for regional mine development planning, ecological protection, and sustainable development. Being relatively objective and providing instant results, the Remote Sensing Ecological Index (RSEI) is widely used in evaluating ecological environment quality. This paper combined Landsat 8 OLI multispectral imagery with meteorological, land type, and other data to set the Net Primary Productivity (NPP). The NPP reflects detailed regional vegetation destruction and climate variation, the greenness index of RSEI. We also used kernel principal component analysis (KPCA) to obtain the improved ecological index K-RSEINPP while evaluating the ecological envir...

Research paper thumbnail of Optimisation of Cable Dome Structure Design for Progressive Collapse Resistance

Applied Sciences

Since the literature lacks an effective analysis method of collapse mechanisms and optimisation d... more Since the literature lacks an effective analysis method of collapse mechanisms and optimisation design theory for progressive collapse resistance of cable dome structure, a structural performance-based optimisation approach was proposed to improve the progressive collapse resistance for cable dome structures in this study. First, the dynamic response and collapse model of a cable dome structure were analysed after its members were removed using Ansys LS-DYNA and the full dynamic equivalent load-based instantaneous unloading method. Second, the importance coefficients of the members were calculated to determine the contribution of each member to the progressive collapse resistance of the structure. Finally, a stepwise optimisation solution was proposed by integrating a global optimisation model, which uses the mean of the importance coefficients of all members as the optimisation index, with a local optimisation model, which minimises the maximum member importance coefficient. The re...

Research paper thumbnail of Phase separation of insulin receptor substrate 1 drives the formation of insulin/IGF-1 signalosomes

Cell Discovery

As a critical node for insulin/IGF signaling, insulin receptor substrate 1 (IRS-1) is essential f... more As a critical node for insulin/IGF signaling, insulin receptor substrate 1 (IRS-1) is essential for metabolic regulation. A long and unstructured C-terminal region of IRS-1 recruits downstream effectors for promoting insulin/IGF signals. However, the underlying molecular basis for this remains elusive. Here, we found that the C-terminus of IRS-1 undergoes liquid-liquid phase separation (LLPS). Both electrostatic and hydrophobic interactions were seen to drive IRS-1 LLPS. Self-association of IRS-1, which was mainly mediated by the 301–600 region, drives IRS-1 LLPS to form insulin/IGF-1 signalosomes. Moreover, tyrosine residues of YXXM motifs, which recruit downstream effectors, also contributed to IRS-1 self-association and LLPS. Impairment of IRS-1 LLPS attenuated its positive effects on insulin/IGF-1 signaling. The metabolic disease-associated G972R mutation impaired the self-association and LLPS of IRS-1. Our findings delineate a mechanism in which LLPS of IRS-1-mediated signaloso...

Research paper thumbnail of Case report: Brucellosis with rare multiple pulmonary nodules in a depressed patient

Frontiers in Medicine

BackgroundBrucellosis is a zoonotic disease that threatens public health and creates an economic ... more BackgroundBrucellosis is a zoonotic disease that threatens public health and creates an economic burden. Unfortunately, it is often overlooked in developing countries, with misdiagnosis causing negative impacts on those with low income. Although the symptoms of brucellosis are commonly reported as fever and fatigue, rare pulmonary, and psychiatric involvements should also be considered. We present the first brucellosis patient in China with multiple pulmonary nodules and depression. Furthermore, this report highlights the importance of collecting patient history in epidemic areas of brucellosis.Case presentationWe report the case of a 40-year-old woman with intermittent fever for 2 months and gradually accompanied by chills, dry cough, arthralgia, and fatigue. The patient was also diagnosed with depression after fever. She received symptomatic treatment at a regional hospital; however, there was no significant symptom relief. She suddenly developed hemoptysis 1 day prior to arrival ...

Research paper thumbnail of Generating Ultralong-Superoscillation Nondiffracting Beams with Full Control of the Intensity Profile

Physical Review Applied

Nondiffracting light beams receive substantial attention in various areas due to their properties... more Nondiffracting light beams receive substantial attention in various areas due to their properties of diffractionless propagation and achievable subwavelength beam size. Extending the propagation distance and compressing the beam size of nondiffracting beams are crucial to their practical applications. However, it remains challenging to achieve nondiffracting light beams with a subwavelength subdiffracting transverse size and a long propagation distance with controllable intensity profiles in both transverse and longitudinal directions. Here, we propose an optimization method to generate an ultralong-superoscillation nondiffracting light beam with full control of the beam intensity profile. A 45λ-long-superoscillation nondiffracting light beam, the transverse sizes of which are within the range of 0.37λ-0.4λ along the propagation axis, is experimentally demonstrated by a metalens based on continuous phase modulation using geometrical phase metasurfaces. Our method provides an attractive way to controllably generate ultralongsuperoscillation nondiffracting beams on a subwavelength scale and might find fascinating applications in optical manipulation, materials processing, data storage, microscopy, and spectroscopy.

Research paper thumbnail of Combination of Chinese medicinal formulas and chemotherapy for triple-negative breast cancer strengthens body resistance to eliminate pathogenic factors

Research paper thumbnail of PSA-Cache: A Page-State-Aware Cache Scheme for boosting 3D NAND Flash Performance

ACM Transactions on Storage

Garbage collection (GC) plays a pivotal role in the performance of 3D NAND flash memory, where Co... more Garbage collection (GC) plays a pivotal role in the performance of 3D NAND flash memory, where Copyback has been widely used to accelerate valid page migration during GC. Unfortunately, copyback is constrained by the parity symmetry issue: data read from an odd/even page must be written to an odd/even page. After migrating two odd/even consecutive pages, a free page between the two migrated pages will be wasted. Such wasted pages noticeably lower free space on flash memory and cause extra GCs, thereby degrading SSD performance. To address this problem, we propose a page-state-aware cache scheme called PSA-Cache , which prevents page waste to boost the performance of NAND Flash-based SSDs. To facilitate making write-back scheduling decisions, PSA-Cache regulates write-back priorities for cached pages according to the state of pages in victim blocks. With high write-back-priority pages written back to flash chips, PSA-Cache effectively fends off page waste by breaking odd/even consecu...

Research paper thumbnail of A super-oscillatory step-zoom metalens for visible light

Beilstein Journal of Nanotechnology

In recent years, the super-oscillation method based on the fine interference of optical fields ha... more In recent years, the super-oscillation method based on the fine interference of optical fields has been successfully applied to sub-diffraction focusing and super-resolution imaging. However, most previously reported works only describe static super-oscillatory lenses. Super-oscillatory lenses using phase-change materials still have issues regarding dynamic tunability and inflexibility. Therefore, it is vital to develop a flexible and tunable modulation approach for super-oscillatory lenses. In this paper, we propose a super-oscillatory step-zoom lens based on the geometric phase principle, which can switch between two focal lengths within a certain field of view. The designed device consists of nanopillars with high efficiency of up to 80%, and the super-resolution focusing with 0.84 times of diffraction limit is verified by the full-wave simulation. The proposed method bears the potential to become a useful tool for label-free super-resolution microscopic imaging and optical preci...

Research paper thumbnail of Design Optimisation of a Cable–Strut Tensile Structure According to the Importance of Elements

Buildings

In this study, the design of a flexible cable–strut tensile structure was optimised according to ... more In this study, the design of a flexible cable–strut tensile structure was optimised according to the importance of elements to achieve high structural robustness. First, the importance coefficients of elements were determined by comparing their structural prefailure and postfailure strain energy. Moreover, the effects of the external load, the initial prestress, and the cross-sectional areas of elements on the importance coefficients were analysed. Second, a genetic algorithm was used to optimise element section design and minimise the maximum importance coefficient. Third, an optimised cable arrangement scheme was developed by adding an alternative load transfer path to the outer hoop cable with the highest importance coefficient. In this scheme, outer elements have a Levy-type arrangement rather than a Geiger-type arrangement so that a Geiger–Levy composite cable dome is formed. Finally, the cable arrangement and element section design for the aforementioned scheme were comprehens...

Research paper thumbnail of Robust Achromatic All-Dielectric Metalens for Infrared Detection in Intelligent Inspection

Sensors

Metalens has the advantages of high design freedom, light weight and easy integration, thus provi... more Metalens has the advantages of high design freedom, light weight and easy integration, thus provides a powerful platform for infrared detection. Here, we numerically demonstrated a broadband achromatic infrared all-dielectric metalens over a continuous 800 nm bandwidth, with strong environmental adaptability in air, water and oil. By building a database with multiple 2π phase coverage and anomalous dispersions, optimizing the corrected required phase profiles and designing the sizes and spatial distributions of silicon nanopillars, we numerically realized the design of broadband achromatic metalens. The simulation results of the designed metalens show nearly constant focal lengths and diffraction-limited focal spots over the continuous range of wavelengths from 4.0 to 4.8 μm, indicating the ability of the designed metalens to detect thermal signals over a temperature range from various fault points. Further simulation results show that the metalens maintains good focusing performanc...

Research paper thumbnail of Exploring the Underlying Mechanism of Ren-Shen-Bai-Du Powder for Treating Inflammatory Bowel Disease Based on Network Pharmacology and Molecular Docking

Pharmaceuticals

Ren-Shen-Bai-Du Powder (RSBDP) is currently used for inflammatory bowel disease (IBD) therapy in ... more Ren-Shen-Bai-Du Powder (RSBDP) is currently used for inflammatory bowel disease (IBD) therapy in China. However, its potential mechanism against IBD remains unknown. In this study, we initially identified potential targets of RSBDP against IBD through network pharmacology analysis and molecular docking. Afterwards, the DSS-induced colitis mice model was employed to assess the effects of RSBDP. The results of network pharmacology indicated that a total of 39 main active ingredients in RSBDP generated 309 pairs of drug-ingredient and ingredient-target correspondences through 115 highly relevant targets of IBD. The primary ingredients (quercetin, kaempferol, luteolin, naringenin, and sitosterol) exerted functions through multiple targets that include CYP1B1, CA4/7, and ESR1/2, etc. GO functional enrichment analysis revealed that the targets related to IBD were significantly enriched in the oxidation-reduction process, protein binding, and cytosol. Per the KEGG pathway analysis, pathway...

Research paper thumbnail of Doublet Metalens with Simultaneous Chromatic and Monochromatic Correction in the Mid-Infrared

Sensors

Metalenses provide a powerful paradigm for mid-infrared (MIR) imaging and detection while keeping... more Metalenses provide a powerful paradigm for mid-infrared (MIR) imaging and detection while keeping the optical system compact. However, the design of MIR metalenses simultaneously correcting chromatic aberration and off-axis monochromatic aberration remains challenging. Here, we propose an MIR doublet metalens composed of a silicon aperture metalens and a silicon focusing metalens separated by a fused silica substrate. By performing ray-tracing optimization and particle-swarm optimization, we optimized the required phase profiles as well as the sizes and spatial distributions of silicon nanopillars of the doublet metalens. Simulation results showed that the MIR doublet metalens simultaneously achieved chromatic and off-axis monochromatic aberration reduction, realizing a continuous 400 nm bandwidth and 20° field-of-view (FOV). Thanks to its planar configuration, this metalens is suitable for integration with CMOS image sensor to achieve MIR imaging and detection, which has potential ...

Research paper thumbnail of Multiple-Wavelength Achromatic Superresolution Focusing with Optimized Constructive Interference

Physical Review Applied

Recently, there has been growing interest in developing superresolution lenses to focus light bey... more Recently, there has been growing interest in developing superresolution lenses to focus light beyond the conventional diffraction limit in the far field. Achromatic superresolution is particularly attractive for many practical applications. However, it remains a great challenge to realize an achromatic superresolution focusing lens with both a high numerical aperture and a small depth of focus, which is critical for superresolution imaging with high longitudinal resolution. Here, a method for preparing a multiwavelength achromatic superresolution lens with a high numerical aperture is proposed to control the wave front through a binary-phase zone plate for generating a transverse superresolution focal spot with a small depth of focus. The approach is experimentally verified with an achromatic superresolution lens with a high numerical aperture of 0.95 at six wavelengths in the visible range between 405 and 684 nm. The proposed method is practical for superresolution-related applications, including imaging, microscopy, and data storage.

Research paper thumbnail of DarkVisionNet: Low-Light Imaging via RGB-NIR Fusion with Deep Inconsistency Prior

Proceedings of the AAAI Conference on Artificial Intelligence

RGB-NIR fusion is a promising method for low-light imaging. However, high-intensity noise in low-... more RGB-NIR fusion is a promising method for low-light imaging. However, high-intensity noise in low-light images amplifies the effect of structure inconsistency between RGB-NIR images, which fails existing algorithms. To handle this, we propose a new RGB-NIR fusion algorithm called Dark Vision Net (DVN) with two technical novelties: Deep Structure and Deep Inconsistency Prior (DIP). The Deep Structure extracts clear structure details in deep multiscale feature space rather than raw input space, which is more robust to noisy inputs. Based on the deep structures from both RGB and NIR domains, we introduce the DIP to leverage the structure inconsistency to guide the fusion of RGB-NIR. Benefits from this, the proposed DVN obtains high-quality low-light images without the visual artifacts. We also propose a new dataset called Dark Vision Dataset (DVD), consisting of aligned RGB-NIR image pairs, as the first public RGB-NIR fusion benchmark. Quantitative and qualitative results on the propose...

Research paper thumbnail of The Impact of Dietary Diversity, Lifestyle, and Blood Lipids on Carotid Atherosclerosis: A Cross-Sectional Study

Nutrients

Carotid atherosclerosis is a common arterial wall lesion that causes narrowing and occlusion of t... more Carotid atherosclerosis is a common arterial wall lesion that causes narrowing and occlusion of the arteries and is the basis of cardiovascular events. Dietary habits, lifestyle, and lipid metabolism should be considered integrally in the context of carotid atherosclerosis (CAS). However, this area has been investigated less often in China. To understand the prevalence of CAS in China and the impact of dietary diversity and habits, lifestyle, and lipid metabolism on CAS as well as its predictive factors, a cross-sectional study was performed in two northern and southern Chinese tertiary hospitals from 2017 to 2019. Included participants underwent carotid artery color Doppler ultrasonography, blood lipid examination and dietary evaluation. In total, 11,601 CAS patients and 27,041 individuals without carotid artery lesions were included. The prevalence of CAS was 30.0% in this group. High BMI (OR: 1.685, 95% CI [1.315–2.160]), current (1.148 [1.077–1.224]) or ex-smoking (1.349 [1.190–...

Research paper thumbnail of The Warming Effect of Urbanization in the Urban Agglomeration Area Accelerates Vegetation Growth on the Urban–Rural Gradient

Remote Sensing

Urbanization has changed the environmental conditions of vegetation growth, such as the heat isla... more Urbanization has changed the environmental conditions of vegetation growth, such as the heat island effect, which has an indirect impact on vegetation growth. However, the extent to which the direct and indirect effects of the thermal environment changes caused by urbanization on vegetation growth are unclear. In this study, taking the example of the Guangdong–Hong Kong–Macao Greater Bay Area, a fast-growing national urban agglomeration in China, the relationship between vegetation growth and warming conditions during the period from 2001 to 2020 were explored by the net primary productivity (NPP) and land surface temperature (LST), based on the vegetation growth theory, in urban environments. The results show that there is a significant exponential relationship between the warming and the growth of large-scale vegetation. This relationship is mainly attributable to thermal environmental factors, since their multi-year average contribution rate on the interannual scale is 95.02%. Th...

Research paper thumbnail of Kinetic Tensegrity Grids with 3D Compressed Components

Proceedings of the 29th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA)

This paper details a series of preliminary explorations into the concept of kinetic tensegrity gr... more This paper details a series of preliminary explorations into the concept of kinetic tensegrity grids that can respond to stimuli by changing their shape, porosity, and transparency. The research presented explores double-layer tensegrity grids that utilize 3D "compressed" components. A case study demonstrates their applicability to the formation of sophisticated building envelopes that can actively or passively respond to changes in the environment. A computational form-finding tool is introduced to study design variations in real time. This tool is shown to expand the design spectrum by supporting increased complexity and revealing unexpected design potential. This research is significant as it outlines a practical methodology for conceiving responsive building systems. In particular, it illustrates an approach that synthesizes design concerns with engineering and fabrication goals.

Research paper thumbnail of Towards Deep Radar Perception for Autonomous Driving: Datasets, Methods, and Challenges

Sensors

With recent developments, the performance of automotive radar has improved significantly. The nex... more With recent developments, the performance of automotive radar has improved significantly. The next generation of 4D radar can achieve imaging capability in the form of high-resolution point clouds. In this context, we believe that the era of deep learning for radar perception has arrived. However, studies on radar deep learning are spread across different tasks, and a holistic overview is lacking. This review paper attempts to provide a big picture of the deep radar perception stack, including signal processing, datasets, labelling, data augmentation, and downstream tasks such as depth and velocity estimation, object detection, and sensor fusion. For these tasks, we focus on explaining how the network structure is adapted to radar domain knowledge. In particular, we summarise three overlooked challenges in deep radar perception, including multi-path effects, uncertainty problems, and adverse weather effects, and present some attempts to solve them.

Research paper thumbnail of Metal Additive Manufacturing of Plastic Injection Molds with Conformal Cooling Channels

Polymers

Conformal cooling channels (CCCs) are widely used in the plastic injection molding process to imp... more Conformal cooling channels (CCCs) are widely used in the plastic injection molding process to improve the product quality and operational performance. Tooling that incorporates CCCs can be fabricated through metal additive manufacturing (MAM). The present work focuses on the MAM of a plastic injection mold insert with different CCC types that are circular, serpentine, and tapered channels with/without body-centered cubic (BCC) lattices. The entire manufacturing process of the mold insert is explained from the design step to the final printing step including the computational thermal & mechanical simulations, performance assessments, and multiobjective optimization. Compared to the traditional channels, conformal cooling channels achieved up to 62.9% better cooling performance with a better thermal uniformity on the mold surface. The optimum mold geometry is decided using the multiobjective optimization procedure according to the multiple objectives of cooling time, temperature non-u...