BACKGROUND Although Helicobacter pylori(H.pylori)can cause a range of gastric diseases and affects approximately 50% of the global population,its routes of transmission have yet to be sufficiently clarified.In a preli...BACKGROUND Although Helicobacter pylori(H.pylori)can cause a range of gastric diseases and affects approximately 50% of the global population,its routes of transmission have yet to be sufficiently clarified.In a preliminary study,we found that H.pylori can reside within the cells of Candida yeasts,with maternal Candida serving as a potential reservoir for the transmission of H.pylori to neonates during delivery.AIM To study the route of H.pylori transmission from mothers to offspring.METHODS We established vaginal and gastric infection models using female C57BL/6J mice infected with H.pylori 16S rDNA and urease A(ureA)genes-positive Candida.The successfully infective female mice were then mated with normal male mice until conception(classified vaginal and cesarean deliveries).The H.pylori infection status in female mice and their offspring was assessed using enzyme-linked immunosorbent assay,polymerase chain reaction,Candida isolation and culture,and histopathological examination.RESULTS The enzyme-linked immunosorbent assay results showed an increase in H.pylori-specific IgG and IgM serum antibodies in the H.pylori-positive Candida group maternal and offspring mice compared to the control and normal groups.H.pylori 16S rDNA or ureA genes was detected in samples from some of the maternal and offspring mice,including gastric mucosa,intestinal contents,vaginal tissue,placenta,and fetal membranes.In addition,H.pylori 16S rDNA-or ureA gene-positive Candida were successfully isolated from the tissues of some postpartum maternal and offspring mice.Moreover,histopathological examination revealed bleeding spots and inflammatory cell infiltration in the gastric mucosal tissues of some maternal mice and offspring in the H.pylori-positive Candida group.CONCLUSION In conclusion,H.pylori infection of newborns may be acquired through vertical transmission during childbirth,potentially originating from the mother’s Candida that has been internalized by H.pylori.展开更多
Primordial germ cells(PGCs)are the stem-cell population of adult animal gametes,which develop into sperm or eggs.It can be propagated in vitro and injected into the host chicken for genome editing to obtain germline c...Primordial germ cells(PGCs)are the stem-cell population of adult animal gametes,which develop into sperm or eggs.It can be propagated in vitro and injected into the host chicken for genome editing to obtain germline chimeric chicken.However,it has the limitation that the host embryo contains endogenous PGCs,which raises complications,resultantly donor PGCs fail to compete,and transmission efficiency reduced.Therefore,to increase the transmission efficiency,we generated a novel sterile chicken with the inducible elimination of endogenous PGCs in the host.This is the first study that applied the herpes simplex virus thymidine kinase(HSV-TK)cell ablation system in avian.CRISPR/Cas9-mediated homology-directed repair was performed to localize the HSV-TK suicide gene to the last exon of the deleted in azoospermialike(DAZL)gene,and ganciclovir(GCV)was added to induce the apoptosis in the germ cells of the host embryo.The sterilized host embryo introduced genome-edited PGCs to produce chimeric chicken carrying exogenous germ cells only.It was observed that the germline transmission efficiency was 100%achieved,and the obtained chicks were purely from donor breeds.The technologies established in the current study have important applications in germplasm conservation and gene editing in chicken.展开更多
α-Synuclein accumulation and transmission are vital to the pathogenesis of Parkinson's disease,although the mechanisms underlying misfoldedα-synuclein accumulation and propagation have not been conclusively dete...α-Synuclein accumulation and transmission are vital to the pathogenesis of Parkinson's disease,although the mechanisms underlying misfoldedα-synuclein accumulation and propagation have not been conclusively determined.The expression of low-density lipoprotein receptor–related protein 1,which is abundantly expressed in neurons and considered to be a multifunctional endocytic receptor,is elevated in the neurons of patients with Parkinson's disease.However,whether there is a direct link between low-density lipoprotein receptor–related protein 1 andα-synuclein aggregation and propagation in Parkinson's disease remains unclear.Here,we established animal models of Parkinson's disease by inoculating monkeys and mice withα-synuclein pre-formed fibrils and observed elevated low-density lipoprotein receptor–related protein 1 levels in the striatum and substantia nigra,accompanied by dopaminergic neuron loss and increasedα-synuclein levels.However,low-density lipoprotein receptor–related protein 1 knockdown efficiently rescued dopaminergic neurodegeneration and inhibited the increase inα-synuclein levels in the nigrostriatal system.In HEK293A cells overexpressingα-synuclein fragments,low-density lipoprotein receptor–related protein 1 levels were upregulated only when the N-terminus ofα-synuclein was present,whereas anα-synuclein fragment lacking the N-terminus did not lead to low-density lipoprotein receptor–related protein 1 upregulation.Furthermore,the N-terminus ofα-synuclein was found to be rich in lysine residues,and blocking lysine residues in PC12 cells treated withα-synuclein pre-formed fibrils effectively reduced the elevated low-density lipoprotein receptor–related protein 1 andα-synuclein levels.These findings indicate that low-density lipoprotein receptor–related protein 1 regulates pathological transmission ofα-synuclein from the striatum to the substantia nigra in the nigrostriatal system via lysine residues in theα-synuclein N-terminus.展开更多
The electromechanical transmission system is essential for locomotive functionality,as it regulates the output torque from the traction motor and transfers it to the wheel-rail interface for traction or braking.Howeve...The electromechanical transmission system is essential for locomotive functionality,as it regulates the output torque from the traction motor and transfers it to the wheel-rail interface for traction or braking.However,existing locomotive dynamics research often neglects the influence of the electric transmission system on critical components,such as the traction motor,supporting bearing,gear transmission system,and wheel-rail interface.This study seeks to fill this gap.We present a spatial locomotive-track dynamics model that includes the entire electromechanical transmission path.This model encompasses the electric transmission system,traction motor,motor bearing,and mechanical transmission system.By integrating the dynamics model with the electromechanical transmission system,we investigate the overall dynamic performance of both mechanical and electrical systems.This analysis considers external excitations from wheel-rail contact and internal excitations from the gear mesh and electromagnetic coupling interfaces.To validate the dynamic responses of the locomotive electromechanical system under actual tractive conditions,we compare simulation results with data collected from field tests.Theoretical findings highlight the significant effects of the electric transmission system and its control on gear mesh force,motor bearing roller-race contact force,and wheel-rail creep force.Notably,incorporating the electric transmission system for rotor speed stabilization contributes to a reduction in friction force between the motor bearing roller and race.This research enhances our understanding of the complex interaction between the electromechanical transmission system and locomotive dynamics.展开更多
This paper proposes a novel end-to-end learnable framework for semantic image transmission,pioneering joint optimization across the spatial,channel,and power domains.In this scheme,the transmitter employs semantic ana...This paper proposes a novel end-to-end learnable framework for semantic image transmission,pioneering joint optimization across the spatial,channel,and power domains.In this scheme,the transmitter employs semantic analysis with spatial-channel domain adaptation to extract and compress vital semantic features from image latent representations,enabling efficient compression by integrating spatial structures and retaining channel priority attributes.Subsequently,a dynamic power allocation strategy intelligently adjusts the transmission power of these features based on real-time noise conditions to mitigate channel impairments.At the receiver,a hierarchical reconstruction network subsequently decodes images through cross-feature analysis of semantic relationships from distorted features.Extensive experimental validation under Rayleigh fading channels demonstrates that the proposed framework achieves significantly superior bandwidth utilization and reconstruction quality compared to existing seep joint source channel coding(DJSCC)schemes.It exhibits robust performance across diverse channel conditions and compression ratios,thereby establishing a new benchmark for semantic communications(Sem-Com).展开更多
Migratory birds have emerged as primary vectors of infectious agents,including viruses,bacteria,vector-borne pathogens,and fungal pathogens,posing a considerable and geographically unrestricted risk to global health s...Migratory birds have emerged as primary vectors of infectious agents,including viruses,bacteria,vector-borne pathogens,and fungal pathogens,posing a considerable and geographically unrestricted risk to global health security.As climate change alters bird populations and migration routes,new pathways for disease transmission are likely to emerge.Habitat overlap with densely populated urban areas may amplify the risk of zoonotic disease transmission.The current review examines the ecological and public health risks associated with migratory birds,emphasizing their role in cross-regional pathogen transmission,the underlying mechanisms of dissemination,and the environmental drivers that influence transmission dynamics.It highlights critical knowledge gaps in pathogen diversity that limit existing surveillance mechanisms,leading to inadequate genomic monitoring of pathogen evolution and poor integration of avian ecology into veterinary and human health frameworks.These limitations hinder initial detection of novel pathogens and undermine global preparedness for outbreak management.Therefore,this review provides a holistic assessment of these challenges by consolidating existing knowledge on pathogens transmitted by migratory birds while emphasizing the need for integrated monitoring strategies,biosecurity measures,and habitat conservation efforts to mitigate these risks.It further offers a comprehensive framework for addressing the identified challenges in the context of global health security and biodiversity conservation.展开更多
Migration is one typical behavior that can affect parasite composition and transmission in local host communities,as migratory hosts are often heavily infected and may serve as a'vehicle'to transmit parasites ...Migration is one typical behavior that can affect parasite composition and transmission in local host communities,as migratory hosts are often heavily infected and may serve as a'vehicle'to transmit parasites to new hosts.Therefore,understanding how local parasite transmission is shaped by these highly connected visitors is critical for guiding disease prevention.However,this endeavor is largely hampered by the difficulties of observing transmission processes,especially in natural host-parasite systems.Regarding that,network analysis may provide additional insights to infer cross-species transmission and help identify the reservoir host species.Here,by using a bird-haemosporidian system in the Thousand Island Lake,China,we generated parasite-sharing networks to investigate how migratory hosts may influence sharing patterns and,in turn,the potential transmission in local bird communities.We evaluated the network centrality of migratory birds and assessed the relative importance of host functional traits and phylogenetic relatedness in structuring the propensity of parasite sharing.We found that migratory species significantly shaped the overall network structure by bridging distinct modules,though they exhibited no superior importance than resident birds when referring to node centrality.Moreover,we found that node centrality and the extent of parasite sharing of hosts are mainly predicted by host functional traits,while host phylogenetic relationships played a relatively minor role.Our findings highlight the vital role of migratory birds on parasite sharing in local communities and suggest that host functional traits could be key drivers of potential cross-species transmission.展开更多
In this article,we introduce a new theoretical approach to improve the accuracy of two-dimensional(2D)atomic localization within a tripod-type,four-level atomic system by analyzing its transmission spectrum.In this me...In this article,we introduce a new theoretical approach to improve the accuracy of two-dimensional(2D)atomic localization within a tripod-type,four-level atomic system by analyzing its transmission spectrum.In this method,the atom interacts with two orthogonal standing-wave fields and a weak probe field.By examining how the weak probe field passes through the system,we can determine the atom position.Our analysis reveals the presence of both double and sharply defined single localized peaks in the transmission spectrum,which correspond to specific positions of the atom.Importantly,we achieve ultra-high-resolution atomic localization with accuracy confined to a region smaller thanλ/32×λ/32.This level of precision is a significant improvement compared to earlier methods,which had lower localization accuracy.The increased precision is due to the complex interaction between the atom and the carefully controlled standing-wave and probe fields,which allows for precise control over the atom’s position.The implications of this work are significant,especially for applications like nano-lithography,where precise atomic placement is essential,and for laser cooling technologies,where better atomic localization could lead to more effective cooling processes and improved manipulation of atomic states.展开更多
The cold chain environment is an important route for the long⁃distance transmission of pathogenic micro⁃organisms.In this study,we explored the mechanisms of secondary propagation through surface contact on cold surfa...The cold chain environment is an important route for the long⁃distance transmission of pathogenic micro⁃organisms.In this study,we explored the mechanisms of secondary propagation through surface contact on cold surfaces.A quantitative statistical experimental method was adopted to study the surface⁃contact transmission of micro⁃organisms,wherein the transfer rate of surface contact was the dependent variable and Escherichia coli was used as the indicator bacterium.The effects of contact pressure(0.44,0.86,1.55,2.25,and 2.94 N/cm2),contact time(0,15,30,45,and 60 s),contact angle(15°and 25°),and surface materials(rubber and cotton gloves)were measured at two storage temperatures:cold storage(5℃)and freezing(-18℃).The results showed that as temperature decreases,the transfer of micro⁃organisms through surface contact becomes less probable.The contact time did not significantly influence the transfer rate of micro⁃organisms when items were handled at cold⁃storage temperatures.Based on these results,we recommend placing items as flat as possible to minimize the tilt angle when handling them at cold⁃storage temperatures.Additionally,if the tilt angle cannot be avoided,rubber gloves should be used when handling items stored at large tilt angles,whereas cotton gloves may be used for items placed at smaller angles.展开更多
The neutron transmission spectrum through a high-purity238 U slab(dimensions:100 mm×100 mm×20 mm)irradiated by a broad-spectrum neutron field was measured at 0°using the time-of-flight(TOF)method.The...The neutron transmission spectrum through a high-purity238 U slab(dimensions:100 mm×100 mm×20 mm)irradiated by a broad-spectrum neutron field was measured at 0°using the time-of-flight(TOF)method.The experiment was carried out at the Radioactive Ion Beam Line of the Heavy Ion Research Facility in Lanzhou at the Institute of Modern Physics,Chinese Academy of Sciences.Broad-spectrum neutrons were generated by bombarding a tungsten target with 80.5 MeV/u12 C ions.GEANT4 calculations were performed under the same experimental conditions by combining the INCL++,BIC,and BERT physics models with the evaluated nuclear data libraries ENDF/B-VIII.0,JEFF-3.3,and JENDL-4.0.The calculations reproduce the measured spectrum reasonably well over most of the investigated energy range;however,they overestimate the data below 10 MeV and tend to underestimate the measured yield above 70 MeV.The present results provide benchmark information for validating neutron-transport simulations relevant to accelerator-driven systems.展开更多
To enhance power flow regulation in scenarios involving large-scale renewable energy transmission via high-voltage direct current(HVDC)links and multi-infeed DC systems in load-center regions,this paper proposes a hyb...To enhance power flow regulation in scenarios involving large-scale renewable energy transmission via high-voltage direct current(HVDC)links and multi-infeed DC systems in load-center regions,this paper proposes a hybrid modular multilevel converter–capacitor-commutated line-commutated converter(MMC-CLCC)HVDC transmission system and its corresponding control strategy.First,the system topology is constructed,and a submodule configuration method for the MMC—combining full-bridge submodules(FBSMs)and half-bridge submodules(HBSMs)—is proposed to enable direct power flow reversal.Second,a hierarchical control strategy is introduced,includingMMCvoltage control,CLCC current control,and a coordinationmechanism,along with the derivation of the hybrid system’s power flow reversal characteristics.Third,leveraging the CLCC’s fast current regulation and theMMC’s negative voltage control capability,a coordinated power flow reversal control strategy is developed.Finally,an 800 kV MMC-CLCC hybrid HVDC system is modeled in PSCAD/EMTDC to validate the power flow reversal performance under a high proportion of full-bridge submodule configuration.Results demonstrate that the proposed control strategy enables rapid(1-s transition)and smooth switching of bidirectional power flow without modifying the structure of primary equipment:the transient fluctuation ofDC voltage from the rated value(UdcN)to themaximumreverse voltage(-kUdcN)is less than 5%;the DC current strictly follows the preset characteristic curve with a deviation of≤3%;the active power reverses continuously,and the system maintains stable operation throughout the reversal process.展开更多
Objective To characterize the distribution of bacterial and fungal pathogens in airport terminal environments,compare airborne aerosol sampling methods,identify high-abundance pathogenic species based on the WHO prior...Objective To characterize the distribution of bacterial and fungal pathogens in airport terminal environments,compare airborne aerosol sampling methods,identify high-abundance pathogenic species based on the WHO priority pathogens list,and provide a scientific basis for optimizing microbiological monitoring and control measures.Methods Sampling was conducted in the transit transfer area(A1),domestic arrivals area(A2),and domestic departures area(A3).Airborne aerosols were collected using cyclonic and filtration samplers,and surface samples were collected using sterile swabs.DNA analysis was performed using 2bRAD sequencing for microbiome profiling(2bRAD-M).Microbial community diversity and compositional differences were assessed usingα-diversity indices(Chao1,Shannon,and Simpson)andβ-diversity metrics.Results Bacteria dominated the indoor air microbiota of the airport terminal(98.4%),with Pseudomonadota(39.4%–62.9%)and Actinomycetota(18.9%–32.9%)as the predominant phyla.Microbial diversity was significantly higher in surface samples than in airborne aerosols.High-frequency contact surfaces(e.g.,handrails)were enriched with human commensal bacteria,including Cutibacterium acnes(9.71%–19.4%).Multiple WHO-prioritized pathogens were detected,including Acinetobacter baumannii(0.3%–1.4%)and Pseudomonas aeruginosa(0.01%–1.24%).The transit transfer area(A1),characterized by poorer ventilation,showed higher microbial richness.Filtration samplers captured more microorganisms per unit volume than cyclonic samplers,with significant differences in detection profiles.Conclusion Sampling methods,sample types,and environmental conditions influence microbial distribution patterns across terminals.Detection of WHO Critical and High priority pathogens indicates potential risks of aerosol and contact transmission.Enhanced ventilation and disinfection of highfrequency contact surfaces can mitigate public health risks.展开更多
Intelligent inspection of transmission lines enables efficient automated fault detection by integrating artificial intelligence,robotics,and other related technologies.It plays a key role in ensuring power grid safety...Intelligent inspection of transmission lines enables efficient automated fault detection by integrating artificial intelligence,robotics,and other related technologies.It plays a key role in ensuring power grid safety,reducing operation and maintenance costs,driving the digital transformation of the power industry,and facilitating the achievement of the dual-carbon goals.This review focuses on vision-based power line inspection,with deep learning as the core perspective to systematically analyze the latest research advancements in this field.Firstly,at the technical foundation level,it elaborates on deep learning algorithms for intelligent transmission line inspection based on image perception,covering object detection algorithms,semantic segmentation algorithms,and other relevant methodologies.Secondly,in application practice,it summarizes deep learning-based intelligent inspection applications across six dimensions—including detection of power insulators and their defects,transmission tower detection,power line feature extraction,metal fitting and defect detection,thermal fault diagnosis of power components,and safety hazard detection in power scenarios,and further lists relevant public datasets.Finally,in response to current challenges,it identifies five key future research directions,such as the deep integration of multiple learning paradigms,multi-modal data fusion,collaborative application of large and small models,cloud-edge-end collaborative integration,and multi-agent cluster control.This paper reviews and analyzes numerous deep learning-based intelligent detectionmethods for aerial images,comprehensively explores the application of deep learning in Unmanned Aerial Vehicle(UAV)inspection scenarios,and thus provides valuable theoretical and practical references for scholars engaged in smart grid automated inspection research.展开更多
Structural health monitoring(SHM)of ship piping systems is a core component of predictive maintenance strategies for complex marine engineering systems.During the detection of ship T-shaped pipes using ultrasonic guid...Structural health monitoring(SHM)of ship piping systems is a core component of predictive maintenance strategies for complex marine engineering systems.During the detection of ship T-shaped pipes using ultrasonic guided waves,signal overlap arises from the diffusion of guided wave branches.To address this issue,an intelligent waveguidance mechanism based on acoustic metamaterials is proposed for dynamic propagation control of ultrasonic guided waves.First,a metamaterial unit composed of a stainless steel substrate and a copper column is designed.The control of bandgap characteristics by lattice constant,column diameter,and column height is systematically investigated,and a design range of structural parameters with optimal bandgap is obtained.The particle swarm optimization algorithm is used to design and optimize two metamaterials,Acoustic-metamaterials-1(AMs-1)and Acoustic-metamaterials-2(AMs-2),which further improve the bandgap performance and achieve a transmission loss of over 30 dB for guided waves at 100 and 150 kHz,respectively.Simulation and experimental verification show that when AMs-1 and AMs-2 are deployed in the left and right branches of the T-shaped pipe,respectively,wave propagation can be achieved according to the excitation frequency.At 1oo kHz excitation,the guided wave preferentially propagates along the right branch,while at 150 kHz excitation,it preferentially propagates along the left branch.This method actively regulates the guided wave propagation trajectory at the structural level,thereby preventing signal overlap at the T-shaped pipe and offering a novel technical solution for the efficient damage detection and predictive maintenance in ship pipe systems.展开更多
Correction to:Opto-Electronic Advances http://gffzzd3cc09b8251d45dfsko95vkoxp00f6kfq.ffgz.tsg.suse.edu.cn/10.29026/oea.2025.250013 published 25 October 2025 After the publication of this article,it was brought to our attention that the funding information in the Ackno...Correction to:Opto-Electronic Advances http://gffzzd3cc09b8251d45dfsko95vkoxp00f6kfq.ffgz.tsg.suse.edu.cn/10.29026/oea.2025.250013 published 25 October 2025 After the publication of this article,it was brought to our attention that the funding information in the Acknowledgements section contained an error.Correction details are listed below.展开更多
To address the issue of inconsistent image quality and data scarcity in bolt defect detection for transmission lines,this paper proposes an improved sparse region-based convolutional neural network(RCNN) based detecti...To address the issue of inconsistent image quality and data scarcity in bolt defect detection for transmission lines,this paper proposes an improved sparse region-based convolutional neural network(RCNN) based detection framework integrating image quality evaluation and text-to-image data augmentation.First,a HyperNetwork-based image quality assessment module is introduced to filter low-quality inspection images in terms of clarity and structural integrity,resulting in a high-quality training dataset.Second,a text-to-image diffusion model is utilized for sample augmentation.By designing text prompts that describe various bolt defect types under diverse lighting and viewing conditions,the model automatically generates realistic synthetic samples.The generated images are further filtered using a combination of quality and perceptual similarity metrics to ensure consistency with the real data distribution.Building upon the sparse RCNN baseline,a dynamic label assignment mechanism and a random decision path detection head are incorporated to enhance bounding box matching and prediction accuracy.Experimental results demonstrate that the proposed method significantly improves detection accuracy(mAP@0.5) over the original sparse RCNN while maintaining low computational cost,enabling more efficient and intelligent inspection of transmission line components.展开更多
Imaging through an optically thick scattering medium remains a formidable challenge,typically addressed by treating the medium as a stochastic"black box"that scrambles information into random speckle pattern...Imaging through an optically thick scattering medium remains a formidable challenge,typically addressed by treating the medium as a stochastic"black box"that scrambles information into random speckle patterns.Here,we present a fundamental shift in this perspective:under incoherent illumination,the scattering medium functions as a random array of micro-phase-pinholes,serving as discrete channels for information transmission.By proposing and validating a micro-phase-pinhole model,we reveal that individual microchannels possess distinct transmission capacities that govern imaging quality.Crucially,we demonstrate that specific,randomly distributed combinations of these phase pinholes can spontaneously generate high-fidelity images directly within the speckle field.Guided by this fundamental physical interpretation,we develop a feature fusion algorithm that extracts and integrates high-quality information from selective channel combinations within a single speckle pattern.This work reveals the underlying physical principles of incoherent information delivery through scattering media.Transition from the"black box"view to a deterministic channel model is a strong conceptual leap,offering a novel pathway to overcome thickness limitation in imaging through scattering media.展开更多
It is estimated that at least two million women of childbearing age in Latin America are chronically infected with Trypanosoma(T.)cruzi,representing a persistent risk of congenital transmission[1].Vertical transmissio...It is estimated that at least two million women of childbearing age in Latin America are chronically infected with Trypanosoma(T.)cruzi,representing a persistent risk of congenital transmission[1].Vertical transmission has been associated with maternal immune dysfunction,which may compromise foetal development and increase the risk of adverse outcomes[2].According to the Brazilian consensus on Chagas disease(CD),breastfeeding represents a potential route of transmission when the parasite is present in milk,especially during the acute phase or in cases of nipple lesions with bleeding[3,4].However,experimental evidence in lactating females during the acute phase is scarce,and reports of transmission via breastfeeding remain inconclusive.展开更多
We propose a scheme to achieve nonreciprocal single-photon transmission in a system consisting of a spinning whispering-gallery-mode resonator and a stationary resonator containing a scatterer,both coupled to a one-di...We propose a scheme to achieve nonreciprocal single-photon transmission in a system consisting of a spinning whispering-gallery-mode resonator and a stationary resonator containing a scatterer,both coupled to a one-dimensional waveguide.By tuning the Sagnac-Fizeau shift induced by the spinning resonator,high-contrast nonreciprocal transmission in both forward and backward directions can be realized.Furthermore,we investigate the influences of system parameters including waveguide-resonator coupling strength,inter-mode coupling strengths within two resonators,and inter-cavity coupling strength on nonreciprocal transmissions.The results indicate that the synergistic regulation of these parameters can adjust the position of the nonreciprocal transmission peak and achieve high-contrast nonreciprocal transmission.展开更多
Aiming at the problems such as halos,artifacts and incomplete dehazing in hazy image restoring processing,a dehazing algorithm of compensated transmission based on negative haze concentration correction is proposed.Fi...Aiming at the problems such as halos,artifacts and incomplete dehazing in hazy image restoring processing,a dehazing algorithm of compensated transmission based on negative haze concentration correction is proposed.First of all,the error mechanism is used to compensate for the transmission of the dark channel prior(DCP),observing the relationships among transmission,depth of field,and haze concentration.A negative haze concentration model is constructed to adaptively correct the transmission of gamma in this study.Finally,the channel difference fusion-based median channel is proposed to correct local atmospheric veil and combined with the atmospheric scattering model to recover haze-free image.The experimental results show that the algorithm solves the problems of halos,artifacts and incomplete dehazing with outstanding details and appropriate brightness.展开更多
基金Supported by National Natural Science Foundation of China,No.82260402Research Foundation of The Affiliated Hospital of Guizhou Medical University,No.GYFYMF002 and No.GYFYMF001+4 种基金Central-Guided Local Science and Technology Projects of Guizhou Province,No.Qiankehe[2025]024Guizhou Key Laboratory,No.ZDSYS[2023]004Guizhou Provincial Key Laboratory for Digestive System Diseases,No.ZSYS[2025]021Basic Research Program of Guizhou Science and Technology Plan,No.ZK[2022]341 and No.ZK[2022]368National Science Foundation of Hainan,No.821QN0993.
摘要BACKGROUND Although Helicobacter pylori(H.pylori)can cause a range of gastric diseases and affects approximately 50% of the global population,its routes of transmission have yet to be sufficiently clarified.In a preliminary study,we found that H.pylori can reside within the cells of Candida yeasts,with maternal Candida serving as a potential reservoir for the transmission of H.pylori to neonates during delivery.AIM To study the route of H.pylori transmission from mothers to offspring.METHODS We established vaginal and gastric infection models using female C57BL/6J mice infected with H.pylori 16S rDNA and urease A(ureA)genes-positive Candida.The successfully infective female mice were then mated with normal male mice until conception(classified vaginal and cesarean deliveries).The H.pylori infection status in female mice and their offspring was assessed using enzyme-linked immunosorbent assay,polymerase chain reaction,Candida isolation and culture,and histopathological examination.RESULTS The enzyme-linked immunosorbent assay results showed an increase in H.pylori-specific IgG and IgM serum antibodies in the H.pylori-positive Candida group maternal and offspring mice compared to the control and normal groups.H.pylori 16S rDNA or ureA genes was detected in samples from some of the maternal and offspring mice,including gastric mucosa,intestinal contents,vaginal tissue,placenta,and fetal membranes.In addition,H.pylori 16S rDNA-or ureA gene-positive Candida were successfully isolated from the tissues of some postpartum maternal and offspring mice.Moreover,histopathological examination revealed bleeding spots and inflammatory cell infiltration in the gastric mucosal tissues of some maternal mice and offspring in the H.pylori-positive Candida group.CONCLUSION In conclusion,H.pylori infection of newborns may be acquired through vertical transmission during childbirth,potentially originating from the mother’s Candida that has been internalized by H.pylori.
基金supported by the National Key R&D Program of China(2021YFD1300100)Guangxi Key R&D Program,China(AB21220005)+1 种基金Reproductive Medicine,Guangxi Medical and Health Key Discipline Construction Project of the Affiliated Hospitalthe National Natural Science Foundation of China(32360180)。
摘要Primordial germ cells(PGCs)are the stem-cell population of adult animal gametes,which develop into sperm or eggs.It can be propagated in vitro and injected into the host chicken for genome editing to obtain germline chimeric chicken.However,it has the limitation that the host embryo contains endogenous PGCs,which raises complications,resultantly donor PGCs fail to compete,and transmission efficiency reduced.Therefore,to increase the transmission efficiency,we generated a novel sterile chicken with the inducible elimination of endogenous PGCs in the host.This is the first study that applied the herpes simplex virus thymidine kinase(HSV-TK)cell ablation system in avian.CRISPR/Cas9-mediated homology-directed repair was performed to localize the HSV-TK suicide gene to the last exon of the deleted in azoospermialike(DAZL)gene,and ganciclovir(GCV)was added to induce the apoptosis in the germ cells of the host embryo.The sterilized host embryo introduced genome-edited PGCs to produce chimeric chicken carrying exogenous germ cells only.It was observed that the germline transmission efficiency was 100%achieved,and the obtained chicks were purely from donor breeds.The technologies established in the current study have important applications in germplasm conservation and gene editing in chicken.
基金supported by the Natural Science Foundation of Guangxi Zhuang Automomous Region,Nos.2019GXNSFDA245015(to MC),2022GXNSFBA035654(to HL)the National Natural Science Foundation of China,Nos.82360241(to MC),82304876(to HL)+1 种基金Scientific Research and Technology Development Project of Guilin City,Nos.20220139-3(to MC),20210218-5(to HL)Guangxi Medical and Health Key Discipline Construction Project(to QL)。
摘要α-Synuclein accumulation and transmission are vital to the pathogenesis of Parkinson's disease,although the mechanisms underlying misfoldedα-synuclein accumulation and propagation have not been conclusively determined.The expression of low-density lipoprotein receptor–related protein 1,which is abundantly expressed in neurons and considered to be a multifunctional endocytic receptor,is elevated in the neurons of patients with Parkinson's disease.However,whether there is a direct link between low-density lipoprotein receptor–related protein 1 andα-synuclein aggregation and propagation in Parkinson's disease remains unclear.Here,we established animal models of Parkinson's disease by inoculating monkeys and mice withα-synuclein pre-formed fibrils and observed elevated low-density lipoprotein receptor–related protein 1 levels in the striatum and substantia nigra,accompanied by dopaminergic neuron loss and increasedα-synuclein levels.However,low-density lipoprotein receptor–related protein 1 knockdown efficiently rescued dopaminergic neurodegeneration and inhibited the increase inα-synuclein levels in the nigrostriatal system.In HEK293A cells overexpressingα-synuclein fragments,low-density lipoprotein receptor–related protein 1 levels were upregulated only when the N-terminus ofα-synuclein was present,whereas anα-synuclein fragment lacking the N-terminus did not lead to low-density lipoprotein receptor–related protein 1 upregulation.Furthermore,the N-terminus ofα-synuclein was found to be rich in lysine residues,and blocking lysine residues in PC12 cells treated withα-synuclein pre-formed fibrils effectively reduced the elevated low-density lipoprotein receptor–related protein 1 andα-synuclein levels.These findings indicate that low-density lipoprotein receptor–related protein 1 regulates pathological transmission ofα-synuclein from the striatum to the substantia nigra in the nigrostriatal system via lysine residues in theα-synuclein N-terminus.
基金Supported by National Natural Science Foundation of China (Grant Nos.52275132,52388102)Sichuan Provincial Science and Technology Program (Grant No.2024NSFTD0011)。
摘要The electromechanical transmission system is essential for locomotive functionality,as it regulates the output torque from the traction motor and transfers it to the wheel-rail interface for traction or braking.However,existing locomotive dynamics research often neglects the influence of the electric transmission system on critical components,such as the traction motor,supporting bearing,gear transmission system,and wheel-rail interface.This study seeks to fill this gap.We present a spatial locomotive-track dynamics model that includes the entire electromechanical transmission path.This model encompasses the electric transmission system,traction motor,motor bearing,and mechanical transmission system.By integrating the dynamics model with the electromechanical transmission system,we investigate the overall dynamic performance of both mechanical and electrical systems.This analysis considers external excitations from wheel-rail contact and internal excitations from the gear mesh and electromagnetic coupling interfaces.To validate the dynamic responses of the locomotive electromechanical system under actual tractive conditions,we compare simulation results with data collected from field tests.Theoretical findings highlight the significant effects of the electric transmission system and its control on gear mesh force,motor bearing roller-race contact force,and wheel-rail creep force.Notably,incorporating the electric transmission system for rotor speed stabilization contributes to a reduction in friction force between the motor bearing roller and race.This research enhances our understanding of the complex interaction between the electromechanical transmission system and locomotive dynamics.
基金supported by National Natural Science Foundation of China(No.92467301,No.62293481,No.62471054).
摘要This paper proposes a novel end-to-end learnable framework for semantic image transmission,pioneering joint optimization across the spatial,channel,and power domains.In this scheme,the transmitter employs semantic analysis with spatial-channel domain adaptation to extract and compress vital semantic features from image latent representations,enabling efficient compression by integrating spatial structures and retaining channel priority attributes.Subsequently,a dynamic power allocation strategy intelligently adjusts the transmission power of these features based on real-time noise conditions to mitigate channel impairments.At the receiver,a hierarchical reconstruction network subsequently decodes images through cross-feature analysis of semantic relationships from distorted features.Extensive experimental validation under Rayleigh fading channels demonstrates that the proposed framework achieves significantly superior bandwidth utilization and reconstruction quality compared to existing seep joint source channel coding(DJSCC)schemes.It exhibits robust performance across diverse channel conditions and compression ratios,thereby establishing a new benchmark for semantic communications(Sem-Com).
基金supported by the Shenzhen Science and Technology Program(KCXFZ20230731092801002,JCYJ20220818095601003,SGDX20240115113259001)the Shenzhen Medical Research Fund(B2404002)+1 种基金the Sanming Project of Medicine in Shenzhen(SZSM202211023)National Natural Science Foundation of China(82473754)。
摘要Migratory birds have emerged as primary vectors of infectious agents,including viruses,bacteria,vector-borne pathogens,and fungal pathogens,posing a considerable and geographically unrestricted risk to global health security.As climate change alters bird populations and migration routes,new pathways for disease transmission are likely to emerge.Habitat overlap with densely populated urban areas may amplify the risk of zoonotic disease transmission.The current review examines the ecological and public health risks associated with migratory birds,emphasizing their role in cross-regional pathogen transmission,the underlying mechanisms of dissemination,and the environmental drivers that influence transmission dynamics.It highlights critical knowledge gaps in pathogen diversity that limit existing surveillance mechanisms,leading to inadequate genomic monitoring of pathogen evolution and poor integration of avian ecology into veterinary and human health frameworks.These limitations hinder initial detection of novel pathogens and undermine global preparedness for outbreak management.Therefore,this review provides a holistic assessment of these challenges by consolidating existing knowledge on pathogens transmitted by migratory birds while emphasizing the need for integrated monitoring strategies,biosecurity measures,and habitat conservation efforts to mitigate these risks.It further offers a comprehensive framework for addressing the identified challenges in the context of global health security and biodiversity conservation.
基金supported by the National Natural Science Foundation of China(32001124,32030066,32271605)São Paulo Research Foundation(2025/09699-4)。
摘要Migration is one typical behavior that can affect parasite composition and transmission in local host communities,as migratory hosts are often heavily infected and may serve as a'vehicle'to transmit parasites to new hosts.Therefore,understanding how local parasite transmission is shaped by these highly connected visitors is critical for guiding disease prevention.However,this endeavor is largely hampered by the difficulties of observing transmission processes,especially in natural host-parasite systems.Regarding that,network analysis may provide additional insights to infer cross-species transmission and help identify the reservoir host species.Here,by using a bird-haemosporidian system in the Thousand Island Lake,China,we generated parasite-sharing networks to investigate how migratory hosts may influence sharing patterns and,in turn,the potential transmission in local bird communities.We evaluated the network centrality of migratory birds and assessed the relative importance of host functional traits and phylogenetic relatedness in structuring the propensity of parasite sharing.We found that migratory species significantly shaped the overall network structure by bridging distinct modules,though they exhibited no superior importance than resident birds when referring to node centrality.Moreover,we found that node centrality and the extent of parasite sharing of hosts are mainly predicted by host functional traits,while host phylogenetic relationships played a relatively minor role.Our findings highlight the vital role of migratory birds on parasite sharing in local communities and suggest that host functional traits could be key drivers of potential cross-species transmission.
基金Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2025R8).
摘要In this article,we introduce a new theoretical approach to improve the accuracy of two-dimensional(2D)atomic localization within a tripod-type,four-level atomic system by analyzing its transmission spectrum.In this method,the atom interacts with two orthogonal standing-wave fields and a weak probe field.By examining how the weak probe field passes through the system,we can determine the atom position.Our analysis reveals the presence of both double and sharply defined single localized peaks in the transmission spectrum,which correspond to specific positions of the atom.Importantly,we achieve ultra-high-resolution atomic localization with accuracy confined to a region smaller thanλ/32×λ/32.This level of precision is a significant improvement compared to earlier methods,which had lower localization accuracy.The increased precision is due to the complex interaction between the atom and the carefully controlled standing-wave and probe fields,which allows for precise control over the atom’s position.The implications of this work are significant,especially for applications like nano-lithography,where precise atomic placement is essential,and for laser cooling technologies,where better atomic localization could lead to more effective cooling processes and improved manipulation of atomic states.
基金National Natural Science Foundation of China(Grant No.52278121).
摘要The cold chain environment is an important route for the long⁃distance transmission of pathogenic micro⁃organisms.In this study,we explored the mechanisms of secondary propagation through surface contact on cold surfaces.A quantitative statistical experimental method was adopted to study the surface⁃contact transmission of micro⁃organisms,wherein the transfer rate of surface contact was the dependent variable and Escherichia coli was used as the indicator bacterium.The effects of contact pressure(0.44,0.86,1.55,2.25,and 2.94 N/cm2),contact time(0,15,30,45,and 60 s),contact angle(15°and 25°),and surface materials(rubber and cotton gloves)were measured at two storage temperatures:cold storage(5℃)and freezing(-18℃).The results showed that as temperature decreases,the transfer of micro⁃organisms through surface contact becomes less probable.The contact time did not significantly influence the transfer rate of micro⁃organisms when items were handled at cold⁃storage temperatures.Based on these results,we recommend placing items as flat as possible to minimize the tilt angle when handling them at cold⁃storage temperatures.Additionally,if the tilt angle cannot be avoided,rubber gloves should be used when handling items stored at large tilt angles,whereas cotton gloves may be used for items placed at smaller angles.
摘要The neutron transmission spectrum through a high-purity238 U slab(dimensions:100 mm×100 mm×20 mm)irradiated by a broad-spectrum neutron field was measured at 0°using the time-of-flight(TOF)method.The experiment was carried out at the Radioactive Ion Beam Line of the Heavy Ion Research Facility in Lanzhou at the Institute of Modern Physics,Chinese Academy of Sciences.Broad-spectrum neutrons were generated by bombarding a tungsten target with 80.5 MeV/u12 C ions.GEANT4 calculations were performed under the same experimental conditions by combining the INCL++,BIC,and BERT physics models with the evaluated nuclear data libraries ENDF/B-VIII.0,JEFF-3.3,and JENDL-4.0.The calculations reproduce the measured spectrum reasonably well over most of the investigated energy range;however,they overestimate the data below 10 MeV and tend to underestimate the measured yield above 70 MeV.The present results provide benchmark information for validating neutron-transport simulations relevant to accelerator-driven systems.
基金supported by Science and Technology Project of the headquarters of the State Grid Corporation of China(No.5500-202324492A-3-2-ZN).
摘要To enhance power flow regulation in scenarios involving large-scale renewable energy transmission via high-voltage direct current(HVDC)links and multi-infeed DC systems in load-center regions,this paper proposes a hybrid modular multilevel converter–capacitor-commutated line-commutated converter(MMC-CLCC)HVDC transmission system and its corresponding control strategy.First,the system topology is constructed,and a submodule configuration method for the MMC—combining full-bridge submodules(FBSMs)and half-bridge submodules(HBSMs)—is proposed to enable direct power flow reversal.Second,a hierarchical control strategy is introduced,includingMMCvoltage control,CLCC current control,and a coordinationmechanism,along with the derivation of the hybrid system’s power flow reversal characteristics.Third,leveraging the CLCC’s fast current regulation and theMMC’s negative voltage control capability,a coordinated power flow reversal control strategy is developed.Finally,an 800 kV MMC-CLCC hybrid HVDC system is modeled in PSCAD/EMTDC to validate the power flow reversal performance under a high proportion of full-bridge submodule configuration.Results demonstrate that the proposed control strategy enables rapid(1-s transition)and smooth switching of bidirectional power flow without modifying the structure of primary equipment:the transient fluctuation ofDC voltage from the rated value(UdcN)to themaximumreverse voltage(-kUdcN)is less than 5%;the DC current strictly follows the preset characteristic curve with a deviation of≤3%;the active power reverses continuously,and the system maintains stable operation throughout the reversal process.
摘要Objective To characterize the distribution of bacterial and fungal pathogens in airport terminal environments,compare airborne aerosol sampling methods,identify high-abundance pathogenic species based on the WHO priority pathogens list,and provide a scientific basis for optimizing microbiological monitoring and control measures.Methods Sampling was conducted in the transit transfer area(A1),domestic arrivals area(A2),and domestic departures area(A3).Airborne aerosols were collected using cyclonic and filtration samplers,and surface samples were collected using sterile swabs.DNA analysis was performed using 2bRAD sequencing for microbiome profiling(2bRAD-M).Microbial community diversity and compositional differences were assessed usingα-diversity indices(Chao1,Shannon,and Simpson)andβ-diversity metrics.Results Bacteria dominated the indoor air microbiota of the airport terminal(98.4%),with Pseudomonadota(39.4%–62.9%)and Actinomycetota(18.9%–32.9%)as the predominant phyla.Microbial diversity was significantly higher in surface samples than in airborne aerosols.High-frequency contact surfaces(e.g.,handrails)were enriched with human commensal bacteria,including Cutibacterium acnes(9.71%–19.4%).Multiple WHO-prioritized pathogens were detected,including Acinetobacter baumannii(0.3%–1.4%)and Pseudomonas aeruginosa(0.01%–1.24%).The transit transfer area(A1),characterized by poorer ventilation,showed higher microbial richness.Filtration samplers captured more microorganisms per unit volume than cyclonic samplers,with significant differences in detection profiles.Conclusion Sampling methods,sample types,and environmental conditions influence microbial distribution patterns across terminals.Detection of WHO Critical and High priority pathogens indicates potential risks of aerosol and contact transmission.Enhanced ventilation and disinfection of highfrequency contact surfaces can mitigate public health risks.
基金financially supported by theNatural Research Project of College in Anhui Province under grant 2024AH051365,2025AHGXZK30826Research Platform of New Energy and Energy-Saving Technology Research Center under grant KYJG002.
摘要Intelligent inspection of transmission lines enables efficient automated fault detection by integrating artificial intelligence,robotics,and other related technologies.It plays a key role in ensuring power grid safety,reducing operation and maintenance costs,driving the digital transformation of the power industry,and facilitating the achievement of the dual-carbon goals.This review focuses on vision-based power line inspection,with deep learning as the core perspective to systematically analyze the latest research advancements in this field.Firstly,at the technical foundation level,it elaborates on deep learning algorithms for intelligent transmission line inspection based on image perception,covering object detection algorithms,semantic segmentation algorithms,and other relevant methodologies.Secondly,in application practice,it summarizes deep learning-based intelligent inspection applications across six dimensions—including detection of power insulators and their defects,transmission tower detection,power line feature extraction,metal fitting and defect detection,thermal fault diagnosis of power components,and safety hazard detection in power scenarios,and further lists relevant public datasets.Finally,in response to current challenges,it identifies five key future research directions,such as the deep integration of multiple learning paradigms,multi-modal data fusion,collaborative application of large and small models,cloud-edge-end collaborative integration,and multi-agent cluster control.This paper reviews and analyzes numerous deep learning-based intelligent detectionmethods for aerial images,comprehensively explores the application of deep learning in Unmanned Aerial Vehicle(UAV)inspection scenarios,and thus provides valuable theoretical and practical references for scholars engaged in smart grid automated inspection research.
基金supported in part by the National Natural Science Foundation of China under Grant 5237553752405105.
摘要Structural health monitoring(SHM)of ship piping systems is a core component of predictive maintenance strategies for complex marine engineering systems.During the detection of ship T-shaped pipes using ultrasonic guided waves,signal overlap arises from the diffusion of guided wave branches.To address this issue,an intelligent waveguidance mechanism based on acoustic metamaterials is proposed for dynamic propagation control of ultrasonic guided waves.First,a metamaterial unit composed of a stainless steel substrate and a copper column is designed.The control of bandgap characteristics by lattice constant,column diameter,and column height is systematically investigated,and a design range of structural parameters with optimal bandgap is obtained.The particle swarm optimization algorithm is used to design and optimize two metamaterials,Acoustic-metamaterials-1(AMs-1)and Acoustic-metamaterials-2(AMs-2),which further improve the bandgap performance and achieve a transmission loss of over 30 dB for guided waves at 100 and 150 kHz,respectively.Simulation and experimental verification show that when AMs-1 and AMs-2 are deployed in the left and right branches of the T-shaped pipe,respectively,wave propagation can be achieved according to the excitation frequency.At 1oo kHz excitation,the guided wave preferentially propagates along the right branch,while at 150 kHz excitation,it preferentially propagates along the left branch.This method actively regulates the guided wave propagation trajectory at the structural level,thereby preventing signal overlap at the T-shaped pipe and offering a novel technical solution for the efficient damage detection and predictive maintenance in ship pipe systems.
摘要Correction to:Opto-Electronic Advances http://gffzzd3cc09b8251d45dfsko95vkoxp00f6kfq.ffgz.tsg.suse.edu.cn/10.29026/oea.2025.250013 published 25 October 2025 After the publication of this article,it was brought to our attention that the funding information in the Acknowledgements section contained an error.Correction details are listed below.
基金Supported by the Science and Technology Project from State Grid Corporation of China (No.5700-202490330A-2-1-ZX)。
摘要To address the issue of inconsistent image quality and data scarcity in bolt defect detection for transmission lines,this paper proposes an improved sparse region-based convolutional neural network(RCNN) based detection framework integrating image quality evaluation and text-to-image data augmentation.First,a HyperNetwork-based image quality assessment module is introduced to filter low-quality inspection images in terms of clarity and structural integrity,resulting in a high-quality training dataset.Second,a text-to-image diffusion model is utilized for sample augmentation.By designing text prompts that describe various bolt defect types under diverse lighting and viewing conditions,the model automatically generates realistic synthetic samples.The generated images are further filtered using a combination of quality and perceptual similarity metrics to ensure consistency with the real data distribution.Building upon the sparse RCNN baseline,a dynamic label assignment mechanism and a random decision path detection head are incorporated to enhance bounding box matching and prediction accuracy.Experimental results demonstrate that the proposed method significantly improves detection accuracy(mAP@0.5) over the original sparse RCNN while maintaining low computational cost,enabling more efficient and intelligent inspection of transmission line components.
基金supported by National Natural Science Foundation of China(12574331,82330061)National Key R&D Program of China(SQ2024YFC3016502)+2 种基金Hong Kong Research Grant Council(15125724),Hong Kong Innovation and Technology Commission(MHP/206/24)Shenzhen Science and Technology Innovation Commission(JCYJ20220818100202005)Hong Kong Polytechnic University(P0045762,P0049101,P0048314,P0059222,P0054249).
摘要Imaging through an optically thick scattering medium remains a formidable challenge,typically addressed by treating the medium as a stochastic"black box"that scrambles information into random speckle patterns.Here,we present a fundamental shift in this perspective:under incoherent illumination,the scattering medium functions as a random array of micro-phase-pinholes,serving as discrete channels for information transmission.By proposing and validating a micro-phase-pinhole model,we reveal that individual microchannels possess distinct transmission capacities that govern imaging quality.Crucially,we demonstrate that specific,randomly distributed combinations of these phase pinholes can spontaneously generate high-fidelity images directly within the speckle field.Guided by this fundamental physical interpretation,we develop a feature fusion algorithm that extracts and integrates high-quality information from selective channel combinations within a single speckle pattern.This work reveals the underlying physical principles of incoherent information delivery through scattering media.Transition from the"black box"view to a deterministic channel model is a strong conceptual leap,offering a novel pathway to overcome thickness limitation in imaging through scattering media.
基金supported by a specialization grant from the SUS/SP Human Resources Training Center,CEFORSUS/SP.
摘要It is estimated that at least two million women of childbearing age in Latin America are chronically infected with Trypanosoma(T.)cruzi,representing a persistent risk of congenital transmission[1].Vertical transmission has been associated with maternal immune dysfunction,which may compromise foetal development and increase the risk of adverse outcomes[2].According to the Brazilian consensus on Chagas disease(CD),breastfeeding represents a potential route of transmission when the parasite is present in milk,especially during the acute phase or in cases of nipple lesions with bleeding[3,4].However,experimental evidence in lactating females during the acute phase is scarce,and reports of transmission via breastfeeding remain inconclusive.
基金financially supported by the National Natural Science Foundation of China(12064045)。
摘要We propose a scheme to achieve nonreciprocal single-photon transmission in a system consisting of a spinning whispering-gallery-mode resonator and a stationary resonator containing a scatterer,both coupled to a one-dimensional waveguide.By tuning the Sagnac-Fizeau shift induced by the spinning resonator,high-contrast nonreciprocal transmission in both forward and backward directions can be realized.Furthermore,we investigate the influences of system parameters including waveguide-resonator coupling strength,inter-mode coupling strengths within two resonators,and inter-cavity coupling strength on nonreciprocal transmissions.The results indicate that the synergistic regulation of these parameters can adjust the position of the nonreciprocal transmission peak and achieve high-contrast nonreciprocal transmission.
基金supported by College Industry Support Plan Project of Gansu Provincial Department of Education(No.2021CYZC-04)。
摘要Aiming at the problems such as halos,artifacts and incomplete dehazing in hazy image restoring processing,a dehazing algorithm of compensated transmission based on negative haze concentration correction is proposed.First of all,the error mechanism is used to compensate for the transmission of the dark channel prior(DCP),observing the relationships among transmission,depth of field,and haze concentration.A negative haze concentration model is constructed to adaptively correct the transmission of gamma in this study.Finally,the channel difference fusion-based median channel is proposed to correct local atmospheric veil and combined with the atmospheric scattering model to recover haze-free image.The experimental results show that the algorithm solves the problems of halos,artifacts and incomplete dehazing with outstanding details and appropriate brightness.