Digital watermarking technology plays an important role in detecting malicious tampering and protecting image copyright.However,in practical applications,this technology faces various problems such as severe image dis...Digital watermarking technology plays an important role in detecting malicious tampering and protecting image copyright.However,in practical applications,this technology faces various problems such as severe image distortion,inaccurate localization of the tampered regions,and difficulty in recovering content.Given these shortcomings,a fragile image watermarking algorithm for tampering blind-detection and content self-recovery is proposed.The multi-feature watermarking authentication code(AC)is constructed using texture feature of local binary patterns(LBP),direct coefficient of discrete cosine transform(DCT)and contrast feature of gray level co-occurrence matrix(GLCM)for detecting the tampered region,and the recovery code(RC)is designed according to the average grayscale value of pixels in image blocks for recovering the tampered content.Optimal pixel adjustment process(OPAP)and least significant bit(LSB)algorithms are used to embed the recovery code and authentication code into the image in a staggered manner.When detecting the integrity of the image,the authentication code comparison method and threshold judgment method are used to perform two rounds of tampering detection on the image and blindly recover the tampered content.Experimental results show that this algorithm has good transparency,strong and blind detection,and self-recovery performance against four types of malicious attacks and some conventional signal processing operations.When resisting copy-paste,text addition,cropping and vector quantization under the tampering rate(TR)10%,the average tampering detection rate is up to 94.09%,and the peak signal-to-noise ratio(PSNR)of the watermarked image and the recovered image are both greater than 41.47 and 40.31 dB,which demonstrates its excellent advantages compared with other related algorithms in recent years.展开更多
We develop an ultrafast Yb-fiber laser system based on eight-channel coherent beam combining utilizing commercially available rod-type Yb-fibers.To ensure good combining efficiency and long-term operation of the syste...We develop an ultrafast Yb-fiber laser system based on eight-channel coherent beam combining utilizing commercially available rod-type Yb-fibers.To ensure good combining efficiency and long-term operation of the system at the attosecond laser facility under construction,we fully stabilize the phase,group-delay,and beam-pointing of the eight fiber channels.Especially,we propose a novel multi-step hill climbing method to control both group-delay and beam-pointing.At a repetition rate of 1 MHz,this laser system delivers 270-fs pulses with 1.18-k W average power(1.18-m J pulse energy).The average-power instability of the laser system running for 12 hours is 0.32%.展开更多
In global navigation satellite system denial environment,cross-view geo-localization based on image retrieval presents an exceedingly critical visual localization solution for Unmanned Aerial Vehicle(UAV)systems.The e...In global navigation satellite system denial environment,cross-view geo-localization based on image retrieval presents an exceedingly critical visual localization solution for Unmanned Aerial Vehicle(UAV)systems.The essence of cross-view geo-localization resides in matching images containing the same geographical targets from disparate platforms,such as UAV-view and satellite-view images.However,images of the same geographical targets may suffer from occlusions and geometric distortions due to variations in the capturing platform,view,and timing.The existing methods predominantly extract features by segmenting feature maps,which overlook the holistic semantic distribution and structural information of objects,resulting in loss of image information.To address these challenges,dilated neighborhood attention Transformer is employed as the feature extraction backbone,and Multi-feature representations based on Multi-scale Hierarchical Contextual Aggregation(MMHCA)is proposed.In the proposed MMHCA method,the multiscale hierarchical contextual aggregation method is utilized to extract contextual information from local to global across various granularity levels,establishing feature associations of contextual information with global and local information in the image.Subsequently,the multi-feature representations method is utilized to obtain rich discriminative feature information,bolstering the robustness of model in scenarios characterized by positional shifts,varying distances,and scale ambiguities.Comprehensive experiments conducted on the extensively utilized University-1652 and SUES-200 benchmarks indicate that the MMHCA method surpasses the existing techniques.showing outstanding results in UAV localization and navigation.展开更多
A crossbreeding program was established in 2019 to address the declining Crassostrea gigas harvests caused by Pacific Oyster Mortality Syndrome(POMS).As a part of the program,this study was performed to estimate the g...A crossbreeding program was established in 2019 to address the declining Crassostrea gigas harvests caused by Pacific Oyster Mortality Syndrome(POMS).As a part of the program,this study was performed to estimate the genetic structure underlying phenotypic variation.Fifteen complete diallel crossings of C.gigas and C.angulata,comprising 60 full-sib families,were used to evaluate the general combining ability(GCA)and specific combining ability(SCA),as well as genotype and environment interactions for shell height(SH),summer survival(SS),and thermal tolerance(TT)of reciprocal hybrids GA(C.gigas♀×C.angulata♂)and AG(C.angulata♀×C.gigas♂)grown in Rongcheng and Rushan,Shandong Province,China.The results suggested that heterosis of the reciprocal hybrids was evident for SH,SS,and TT.The hybrid GA had larger heterosis than AG in both testing environments,and can be a potential donor in the breeding program.The male C.gigas had better GCA for SH in Rongcheng,whereas male C.angulata was a good general combiner for SS and TT in both Rongcheng and Rushan.The estimate of SCA was much higher than GCA for SH and lower than GCA for TT.To harness both additive and non-additive genetic effects,combination breed-ing could be taken to develop hybrid varieties possessing both thermal tolerance and fast-growing traits.The positive correlations between SH and TT suggested that these traits could be improved simultaneously.The significant G×E interactions demonstrated the importance to undertake site-specific breeding programs in different environments.Overall,this study can provide essential information for developing crossbreeding strategies for the oyster farming industry.展开更多
[Background]Traveling-wave tubes(TWTs)are widely applied in radar,imaging,and military systems owing to their excellent amplification characteristics.Miniaturization and integration are critical to the future of TWTs,...[Background]Traveling-wave tubes(TWTs)are widely applied in radar,imaging,and military systems owing to their excellent amplification characteristics.Miniaturization and integration are critical to the future of TWTs,with multi-channel slow-wave structures(SWSs)forming the foundation for their realization in high-power vacuum electronic devices.[Purpose]To provide design insights for multi-channel TWTs and simultaneously enhance their output power,a W-band folded-waveguide TWT with dual electron beams and H-plane power combining was proposed.[Methods]Three-dimensional electromagnetic simulations in CST were conducted to verify the highfrequency characteristics,electric field distribution,and amplification performance of the proposed SWS,thereby confirming the validity of the design.[Results]Results indicate that the designed TWT achieves a transmission bandwidth of 10 GHz.With an electron beam voltage of 17.9 kV and a current of 0.35 A,the output power reaches 450 W at 94 GHz,corresponding to an efficiency of 7.18%and a gain of 23.5 dB.Moreover,under fixed beam voltage and current,the TWT delivers over 200 W output power across 91–99 GHz,with a 3 dB bandwidth of 91–98.5 GHz.The particle voltage distribution after modulation further validates the mode analysis.[Conclusions]These results demonstrate the feasibility of compact dual-beam power-combining structures and provide useful guidance for the design of future multi-channel TWTs.展开更多
Twenty short-statured maize inbred lines were collected from CIMMYT India and Mexico through the Plant Breeding Division, Bangladesh Agricultural Research Institute (BARI), Gazipur. The experiment was conducted from N...Twenty short-statured maize inbred lines were collected from CIMMYT India and Mexico through the Plant Breeding Division, Bangladesh Agricultural Research Institute (BARI), Gazipur. The experiment was conducted from November 2020 to April 2021 in three different agroecological regions such as BARI, Gazipur, RARS Barisal and RARS Rangpur. Seven inbred lines were selected on the basis of genetic diversity and per se performance and they were crossed separately in a 7 × 7 half diallel fashion, producing 21F1 hybrids in 2019 which were evaluated at three locations. However, variances due to GCA were much higher in magnitude than SCA for all the characters indicating preponderance of additive gene effects on the inheritance of these characters. Two parents viz., P3 (CML33) and P4 (CML41) were good general combiners and two crosses viz., P4 × P5 (CML41 × CML31) and P5 × P7 (CML31 × CML124) expressed significant positive SCA effects coupled with significant positive heterosis for grain yield and for most of the yield contributing characters over the two commercial check varieties BHM 9 and NK40. Four crosses: P1 × P5 (CML116 × CML31), P1 × P6 (CML116 × CML32), P2 × P6 (CML72 × CML32) and P3 × P4 (CML33 × CML41), exhibited significant and negative SCA effects for both plant and ear height which were desirable for short stature. Genotypes x location interaction was also significant for maximum characters, suggesting that genotypes interacted significantly in different environments.展开更多
This study proposes a learner profile framework based on multi-feature fusion,aiming to enhance the precision of personalized learning recommendations by integrating learners’static attributes(e.g.,demographic data a...This study proposes a learner profile framework based on multi-feature fusion,aiming to enhance the precision of personalized learning recommendations by integrating learners’static attributes(e.g.,demographic data and historical academic performance)with dynamic behavioral patterns(e.g.,real-time interactions and evolving interests over time).The research employs Term Frequency-Inverse Document Frequency(TF-IDF)for semantic feature extraction,integrates the Analytic Hierarchy Process(AHP)for feature weighting,and introduces a time decay function inspired by Newton’s law of cooling to dynamically model changes in learners’interests.Empirical results demonstrate that this framework effectively captures the dynamic evolution of learners’behaviors and provides context-aware learning resource recommendations.The study introduces a novel paradigm for learner modeling in educational technology,combining methodological innovation with a scalable technical architecture,thereby laying a foundation for the development of adaptive learning systems.展开更多
The traditional EnFCM(Enhanced fuzzy C-means)algorithm only considers the grey-scale features in image segmentation,resulting in less than satisfactory results when the algorithm is used for remote sensing woodland im...The traditional EnFCM(Enhanced fuzzy C-means)algorithm only considers the grey-scale features in image segmentation,resulting in less than satisfactory results when the algorithm is used for remote sensing woodland image segmentation and extraction.An EnFCM remote sensing forest land extraction method based on PCA multi-feature fusion was proposed.Firstly,histogram equalization was applied to improve the image contrast.Secondly,the texture and edge features of the image were extracted,and a multi-feature fused pixel image was generated using the PCA technique.Moreover,the fused feature was used as a feature constraint to measure the difference of pixels instead of a single grey-scale feature.Finally,an improved feature distance metric calculated the similarity between the pixel points and the cluster center to complete the cluster segmentation.The experimental results showed that the error was between 1.5%and 4.0%compared with the forested area counted by experts’hand-drawing,which could obtain a high accuracy segmentation and extraction result.展开更多
OBJECTIVE:Antibiotics are the main drugs used to treat bacterial infections,which have been extensively utilized across various fields.However,the problem of antimicrobial resistance(AMR)has greatly limited its use,le...OBJECTIVE:Antibiotics are the main drugs used to treat bacterial infections,which have been extensively utilized across various fields.However,the problem of antimicrobial resistance(AMR)has greatly limited its use,leading to the creation of various superbugs such as Methicillin-resistant Staphylococcus aureus(MRSA),making antibiotics less effective,become a major global public health challenge.MRSA,which is resistant to mostβ-lactam and cephalosporin antibiotics,poses a significant threat to public health.Combination therapy has shown promise as a strategy to combat multi-drugresistant bacteria.Chinese medicine also has potential applications in this field.Thus,we tried to find a new approach to overcoming MRSA by combining Chinese herb and penicillin G sodium(PGS).METHODS:The antibacterial activity of Guanghuoxiang(Herba Pogostemonis)samples was investigated by turbidimetry.Then using the checkerboard assay,live/dead bacterial staining and scanning electron microscopy(SEM)to investigate whether the combination of Guanghuoxiang(Herba Pogostemonis)samples and PGS could improve the sensitivity of MRSA,and metabolomics was used to investigate the underlying mechanisms.RESULTS:In this study,we find that the Guanghuoxiang(Herba Pogostemonis)samples had good inhibitory effects on MRSA,and showed a synergistic effect when combined with PGS,enhancing the sensitivity of MRSA to PGS.Metabolomics data further revealed that this combination exerts a broader impact on the energy and material metabolism of the bacteria,resulting in improved antibacterial efficacy.CONCLUSION:Combining Guanghuoxiang(Herba Pogostemonis)with antibiotics could improve the sensitivity of drug-resistant bacteria,provided a new direction for solving the problem of AMR,and offered a valuable strategy for clinical response to MRSA.展开更多
BACKGROUNDGastrointestinal neuroendocrine carcinoma (GI NEC) has a low incidence rate andpoor prognosis. Most patients already have metastatic disease when they arediagnosed. Platinum chemotherapy is the main means of...BACKGROUNDGastrointestinal neuroendocrine carcinoma (GI NEC) has a low incidence rate andpoor prognosis. Most patients already have metastatic disease when they arediagnosed. Platinum chemotherapy is the main means of treating metastatic GINECs. There is a lack of effective treatment methods after chemotherapy failure.Therefore, Therefore, selecting appropriate posterior-line treatment programs toimprove the prognosis of patients is urgently needed.CASE SUMMARYA 64-year-old female was diagnosed with stage IV NEC of the rectum due toabdominal pain and rectal bleeding. After multiline chemotherapy, the conditionprogressed, and the patient was treated with a combination of camrelizumab and surufatinib. The efficacy evaluation revealed partial remission (PR) and stable conditions, with the expression ofthe tumor marker neuron-specific enolase (NSE) returning to normal. The adverse reactions were controllable, andthe overall condition was good, with weight gain achieved in the past four years. Another 51-year-old femaleexperienced recurrence and metastasis of a duodenal NEC after surgery. After multiline chemotherapy, shereceived sintilimab combined with surufatinib. The curative effect fluctuated between PR and stability. Duringtreatment, she recovered from immune-related diabetes and later died due to deterioration of her condition.During the treatment, the patient’s NSE level returned to normal.CONCLUSIONThe combination of antiangiogenic targeted drugs and immunotherapy provides a new therapeutic approach forthe treatment of metastatic GI-NECs.展开更多
Background:Human skin is affected by ultraviolet rays on a daily basis,and excessive ultraviolet radiation(UVR)can lead to sunburn erythema,tanning,photoaging,and skin tumors.The combination of Astragali Radix(AR)and ...Background:Human skin is affected by ultraviolet rays on a daily basis,and excessive ultraviolet radiation(UVR)can lead to sunburn erythema,tanning,photoaging,and skin tumors.The combination of Astragali Radix(AR)and Anemarrhenae Rhizoma(AAR)is a common pairing in traditional Chinese medicine(TCM).According to earlier studies,they possess properties capable of alleviating the adverse impacts of UVR on the skin.However,the specific actions and underlying mechanisms require further investigation.The study aims to analyze the efficacy of AR-AAR in preventing UVR-induced skin damage and to clarify the associated molecular mechanisms.Methods:Potential signaling pathways by which AR and AAR may protect against UVR-induced skin damage were identified with network pharmacology,molecular docking techniques and molecular dynamics(MD)simulation.Except the normal group,the back skin of SD rats was exposed to 1.1 mW/cm^(2) UVA combined with 0.1 mW/cm^(2) UVB daily,and the UVR skin damage model was established.Morphological features of skin tissues of different groups were discovered through Hematoxylin and Eosin(HE)staining,Masson staining,Weigert staining.ELISA was utilized to measure the levels of reactive oxygen species(ROS),Interleukin 6(IL-6),Interleukin 1β(IL-1β)and Tumor necrosis factos-α(TNF-α)in skin tissues.RT-PCR and Western blot were employed to quantify the mRNA and protein contents of PI3K,AKT,and MMP-9.Results:Network pharmacology analysis predicts that AR-AAR may improve skin damage induced by UVR through the PI3K/AKT signaling pathway.Histological staining shows that AR-AAR can significantly reduce inflammatory infiltration and fibrosis in damaged skin.Treatment with AR-AAR(2:1)significantly reduced the expression levels of IL-1β,IL-6,TNF-αand ROS in UVR-damaged rat skin.After treatment with AR-AAR(2:1),not only did the relative mRNA expression levels of PI3K and AKT and the protein expression levels of PI3K,AKT,P-PI3K,and P-AKT increase,but the mRNA and protein expression levels of MMP-9 decreased.Conclusion:The study indicate that the AR-AAR combination and its active components may mitigate UVR skin damage by modulating the PI3K/AKT signaling pathway.展开更多
Polyfluoroalkyl substances(PFAS)have emerged as persistent environmental contaminants because of their chemical stability,degradation-resistance and bioaccumulation potential.However,current studies mainly focus on th...Polyfluoroalkyl substances(PFAS)have emerged as persistent environmental contaminants because of their chemical stability,degradation-resistance and bioaccumulation potential.However,current studies mainly focus on the toxicity of single PFAS such as perfluorooctanoic acid(PFOA)and perfluorobutanoic acid(PFBA),the knowledge of their combined effects is relatively limited.In this study,we explored the immune response of the gut in large yellow croaker(Larimichthys crocea)under the combined stress of PFOA and PFBA.Histologicalanalyses revealed that the combined effect induced intestinal vacuolization and decreased the length of intestinal villi.And it significantly activated pro-inflammatory pathways with marked upregulation of tnfα,il1β,il6 and myd88 expressions,particularly after 14 days of exposure.Gut microbiota analysis revealed substantial dysbiosis,including 1)reduced alpha diversity,2)increased abundance of potential pathogenic taxa(Proteobacteria and Spirochaetota),and 3)depletion of beneficial Firmicutes.PICRUSt-based functional prediction indicated temporal metabolic shifts,with upregulation of DNA repair pathways at day 3 and enhanced bacterial motility protein activity at days 7 and 14 of post-exposure.The Pearson correlation analysis further indicated that these immune genes had significant positive correlations with Vibrio and Brevinema,and negative correlations with Streptococcus.Our present study will provide novel insights into the microbiome-mediated immunomodulation in the larger yellow croaker exposed to combined PFAS,which will be helpful for healthy farming of economically important marine species.展开更多
Constructing nanofibers with specific therapeutic effects against cancer is a challenge.Here,we present the synthesis approach and application prospects of supramolecular nanofibers,which are based on cucurbit[8]uril(...Constructing nanofibers with specific therapeutic effects against cancer is a challenge.Here,we present the synthesis approach and application prospects of supramolecular nanofibers,which are based on cucurbit[8]uril(CB[8])as the host and terpyridine lanthanum ions metal complex as the vip,constructed by layer-by-layer self-assembly through supramolecular interaction.Moreover,nanofibers with lanthanide luminescence properties exhibit surprising pH-responsive deformation properties and antibacterial behavior.In the tumor micro-environment,the dramatic reduction in the size of the nanofibers enables specific and hierarchical release of anticancer drugs in tumor cells to exert an advanced therapeutic effect.In addition,the synergistic therapeutic efficacy was achieved by reducing the excess of Gram-positive and Gram-negative bacteria surrounding tumor cells.The novel supramolecular nanofibers with sequential drug release and combined therapeutic mode provide new guidance for the synthesis of drug carrier materials and direction for the promotion of nanomaterial-mediated cancer therapy.展开更多
Urban forests are highly multifunctional and provide numerous ecological functions.Plant functional traits individually or jointly influence the ecological multifunctionality of tree species(TS-EMF)and can also modify...Urban forests are highly multifunctional and provide numerous ecological functions.Plant functional traits individually or jointly influence the ecological multifunctionality of tree species(TS-EMF)and can also modify TSEMF in response to environmental changes.However,there has been limited exploration of multitrait combinations for predicting TS-EMF across seasons and of trait thresholds that enhance TS-EMF.Here,for 10 dominant tree species in urban forests of Northeast China,14 traits were measured and four aboveground and three belowground ecological functions assessed in three seasons.Ecological functions and TS-EMF differed significantly throughout the seasons(P<0.05).Synergistic relationships were found between carbon sequestration and oxygen release,between cooling and humidification,and between organic carbon accumulation and nutrient cycling.Notably,aboveground multifunctionality played a leading role in TS-EMF.With seasonal changes,resource allocation shifted toward traits related to resource acquisition rather than conservation to maintain TS-EMF.The combination of traits that predicted TS-EMF varied by type,accounting for up to 66.45%of the variation.TS-EMF was primarily driven by leaf structure in spring and by nutrient accumulation in autumn.Leaf carbon content(LCC)consistently served as a stabilizing factor for predicting TS-EMF across seasons.At 36.5-36.8 mg g^(-1),LCC had its optimal effect on TS-EMF.Other traits in combination that positively influence total TS-EMF include leaf nitrogen content(3.43-3.45 mg g^(-1)),leaf phosphorus content(0.80-0.83 mg g^(-1)),and leaf area(65.86-68.43 cm^(2)).Within these specified trait thresholds,Morus alba and Quercus mongolica were identified as key species.These findings suggest that the trade-off between various ecological functions can be managed by altering plant traits across seasons.This approach could provide a theoretical foundation for enhancing the TS-EMF of urban forests through trait-based management,offering practical guidance for selecting tree species.展开更多
Mango is a plant with high economic value in the agricultural industry;thus,it is necessary to maximize the productivity performance of the mango plant,which can be done by implementing artificial intelligence.In this...Mango is a plant with high economic value in the agricultural industry;thus,it is necessary to maximize the productivity performance of the mango plant,which can be done by implementing artificial intelligence.In this study,a lightweight object detection model will be developed that can detect mango plant conditions based on disease potential,so that it becomes an early detection warning system that has an impact on increasing agricultural productivity.The proposed lightweight model integrates YOLOv7-Tiny and the proposed modules,namely the C2S module.The C2S module consists of three sub-modules such as the convolutional block attention module(CBAM),the coordinate attention(CA)module,and the squeeze-and-excitation(SE)module.The dataset is constructed by eight classes,including seven classes of disease conditions and one class of health conditions.The experimental result shows that the proposed lightweight model has the optimal results,which increase by 13.15% of mAP50 compared to the original model YOLOv7-Tiny.While the mAP50:95 also achieved the highest results compared to other models,including YOLOv3-Tiny,YOLOv4-Tiny,YOLOv5,and YOLOv7-Tiny.The advantage of the proposed lightweightmodel is the adaptability that supports it in constrained environments,such as edge computing systems.This proposedmodel can support a robust,precise,and convenient precision agriculture system for the user.展开更多
Glioblastoma(GBM),the most aggressive and lethal primary brain tumor in adults,continues to resist conventional therapeutic approaches,withmedian survival remaining dismally low.Immune checkpoint inhibitors(ICIs),whic...Glioblastoma(GBM),the most aggressive and lethal primary brain tumor in adults,continues to resist conventional therapeutic approaches,withmedian survival remaining dismally low.Immune checkpoint inhibitors(ICIs),which have revolutionized the treatment of several solid tumors,have shown limited efficacy inGBMowing to the highly immunosuppressive and heterogeneousmicroenvironment of the tumor.The unique immune landscape of the central nervous system(CNS),characterized by low immunogenicity,restricted T-cell infiltration,and an abundance of regulatory and myeloid-derived suppressor cells,poses considerable barriers to effective immune reactivation.This review provides a comprehensive synthesis of the mechanistic barriers undermining ICI efficacy in GBM,including the blood-brain barrier,low tumor mutational burden,adaptive immune resistance,and iatrogenic immunosuppression.It also explores emerging predictive and prognostic biomarkers,such as programmed death-ligand 1(PD-L1)expression,immune gene signatures,tumor-infiltrating lymphocyte profiles,and circulating markers in cerebrospinal fluid and plasma,which hold promise for guiding patient selection and therapeutic monitoring.Importantly,recent breakthroughs in combinatorial immunotherapy strategies are highlighted,including the integration of ICIs with radiotherapy,anti-angiogenic agents,oncolytic viruses,personalized neoantigen vaccines,and tumor microenvironment reprogramming approaches.Innovative delivery platforms,such as nanoparticles,focused ultrasound,and convection-enhanced delivery,are also discussed for their potential to improve drug bioavailability and local immune activation in the CNS.This review hypothesizes that the therapeutic efficacy of ICIs in GBM can be considerably enhanced by disrupting immune exclusion and reversing immunosuppression through integrated,multimodal strategies guided by dynamic biomarker profiling and spatially resolved immunemapping.This hypothesisdriven approach aims to bridge translational gaps and inform next-generation clinical trial designs that may unlock the potential of immunotherapy for GBM.展开更多
The internal flow fields within a three-dimensional inward-tunning combined inlet are extremely complex,especially during the engine mode transition,where the tunnel changes may impact the flow fields significantly.To...The internal flow fields within a three-dimensional inward-tunning combined inlet are extremely complex,especially during the engine mode transition,where the tunnel changes may impact the flow fields significantly.To develop an efficient flow field reconstruction model for this,we present an Improved Conditional Denoising Diffusion Generative Adversarial Network(ICDDGAN),which integrates Conditional Denoising Diffusion Probabilistic Models(CDDPMs)with Style GAN,and introduce a reconstruction discrimination mechanism and dynamic loss weight learning strategy.We establish the Mach number flow field dataset by numerical simulation at various backpressures for the mode transition process from turbine mode to ejector ramjet mode at Mach number 2.5.The proposed ICDDGAN model,given only sparse parameter information,can rapidly generate high-quality Mach number flow fields without a large number of samples for training.The results show that ICDDGAN is superior to CDDGAN in terms of training convergence and stability.Moreover,the interpolation and extrapolation test results during backpressure conditions show that ICDDGAN can accurately and quickly reconstruct Mach number fields at various tunnel slice shapes,with a Structural Similarity Index Measure(SSIM)of over 0.96 and a Mean-Square Error(MSE)of 0.035%to actual flow fields,reducing time costs by 7-8 orders of magnitude compared to Computational Fluid Dynamics(CFD)calculations.This can provide an efficient means for rapid computation of complex flow fields.展开更多
The existence of the"stomach-knee axis"and the potential independent association between"Helicobacter pylori(Hp)infection and knee osteoarthritis(KOA)"have been substantiated through multiple lines...The existence of the"stomach-knee axis"and the potential independent association between"Helicobacter pylori(Hp)infection and knee osteoarthritis(KOA)"have been substantiated through multiple lines of evidence,including epidemiological studies of the"stomach-knee axis",investigations into the pathological mechanisms linking"Hp infection and arthritis",as well as research on co-treatment drugs and the anti-inflammatory mechanisms relevant to"gastritis and arthritis".The investigation into"stomach and knee joint treatment"is grounded in the concept that the"stomach-knee axis"aligns with the"combined bi of body constituents and zang organs"theory.Clinical cases have demonstrated that therapeutic strategies of"stomach and knee joint treatment"can mitigate KOA damage by modulating the"stomach-knee axis"and eradicating Hp infection in the stomach.This study aims to contribute novel insights into the cross-system treatment of KOA.Further investigation into the"stomach-knee axis"may yield innovative strategies for the prevention and management of KOA,potentially through the eradication of Hp.展开更多
[Objective] Analysis of combining ability of starch content variation in hybrid sorghum with the assistant of AMMI model. [Method] Based on the analyses of GCA using incomplete diallel cross(NCII), the SCA of hybrid s...[Objective] Analysis of combining ability of starch content variation in hybrid sorghum with the assistant of AMMI model. [Method] Based on the analyses of GCA using incomplete diallel cross(NCII), the SCA of hybrid sorghum was analyzed by AMMI model. [Result] For the starch content change of F1 hybrid sorghum, the effects of GCA and SCA accounted for 81.06% and 17.97%, respectively. In the present study, CMS lines 45A, 29A and restorer lines Hui 1, 44R were proved to be the excellent parent materials for preparing high starch hybrid sorghum cultivars. [Conclusion] The improvement of starch content in parents should be mainly concerned in breeding high starch content hybrid sorghum.展开更多
基金supported by Postgraduate Research&Practice Innovation Program of Jiangsu Province,China(Grant No.SJCX24_1332)Jiangsu Province Education Science Planning Project in 2024(Grant No.B-b/2024/01/122)High-Level Talent Scientific Research Foundation of Jinling Institute of Technology,China(Grant No.jit-b-201918).
文摘Digital watermarking technology plays an important role in detecting malicious tampering and protecting image copyright.However,in practical applications,this technology faces various problems such as severe image distortion,inaccurate localization of the tampered regions,and difficulty in recovering content.Given these shortcomings,a fragile image watermarking algorithm for tampering blind-detection and content self-recovery is proposed.The multi-feature watermarking authentication code(AC)is constructed using texture feature of local binary patterns(LBP),direct coefficient of discrete cosine transform(DCT)and contrast feature of gray level co-occurrence matrix(GLCM)for detecting the tampered region,and the recovery code(RC)is designed according to the average grayscale value of pixels in image blocks for recovering the tampered content.Optimal pixel adjustment process(OPAP)and least significant bit(LSB)algorithms are used to embed the recovery code and authentication code into the image in a staggered manner.When detecting the integrity of the image,the authentication code comparison method and threshold judgment method are used to perform two rounds of tampering detection on the image and blindly recover the tampered content.Experimental results show that this algorithm has good transparency,strong and blind detection,and self-recovery performance against four types of malicious attacks and some conventional signal processing operations.When resisting copy-paste,text addition,cropping and vector quantization under the tampering rate(TR)10%,the average tampering detection rate is up to 94.09%,and the peak signal-to-noise ratio(PSNR)of the watermarked image and the recovered image are both greater than 41.47 and 40.31 dB,which demonstrates its excellent advantages compared with other related algorithms in recent years.
基金Project supported by the Key Deployment Special Research Project of the Chinese Academy of Sciences(Grant No.PTYQ2022YZ0001)the National Natural Science Foundation of China(Grant Nos.62175255 and 62227822)the National Key Research and Development Program of China(Grant No.2021YFB3602602)。
文摘We develop an ultrafast Yb-fiber laser system based on eight-channel coherent beam combining utilizing commercially available rod-type Yb-fibers.To ensure good combining efficiency and long-term operation of the system at the attosecond laser facility under construction,we fully stabilize the phase,group-delay,and beam-pointing of the eight fiber channels.Especially,we propose a novel multi-step hill climbing method to control both group-delay and beam-pointing.At a repetition rate of 1 MHz,this laser system delivers 270-fs pulses with 1.18-k W average power(1.18-m J pulse energy).The average-power instability of the laser system running for 12 hours is 0.32%.
基金supported by the National Natural Science Foundation of China(Nos.12072027,62103052,61603346 and 62103379)the Henan Key Laboratory of General Aviation Technology,China(No.ZHKF-230201)+3 种基金the Funding for the Open Research Project of the Rotor Aerodynamics Key Laboratory,China(No.RAL20200101)the Key Research and Development Program of Henan Province,China(Nos.241111222000 and 241111222900)the Key Science and Technology Program of Henan Province,China(No.232102220067)the Scholarship Funding from the China Scholarship Council(No.202206030079).
文摘In global navigation satellite system denial environment,cross-view geo-localization based on image retrieval presents an exceedingly critical visual localization solution for Unmanned Aerial Vehicle(UAV)systems.The essence of cross-view geo-localization resides in matching images containing the same geographical targets from disparate platforms,such as UAV-view and satellite-view images.However,images of the same geographical targets may suffer from occlusions and geometric distortions due to variations in the capturing platform,view,and timing.The existing methods predominantly extract features by segmenting feature maps,which overlook the holistic semantic distribution and structural information of objects,resulting in loss of image information.To address these challenges,dilated neighborhood attention Transformer is employed as the feature extraction backbone,and Multi-feature representations based on Multi-scale Hierarchical Contextual Aggregation(MMHCA)is proposed.In the proposed MMHCA method,the multiscale hierarchical contextual aggregation method is utilized to extract contextual information from local to global across various granularity levels,establishing feature associations of contextual information with global and local information in the image.Subsequently,the multi-feature representations method is utilized to obtain rich discriminative feature information,bolstering the robustness of model in scenarios characterized by positional shifts,varying distances,and scale ambiguities.Comprehensive experiments conducted on the extensively utilized University-1652 and SUES-200 benchmarks indicate that the MMHCA method surpasses the existing techniques.showing outstanding results in UAV localization and navigation.
基金founded by the National Key R&D Program of China(No.2022YFD2400305)the Earmarked Fund for Agriculture Seed Improvement Project of Shandong Province(Nos.2022LZGCQY010,2021LZGC027 and 2021ZLGX03)the China Agriculture Research System Project(No.CARS-49)。
文摘A crossbreeding program was established in 2019 to address the declining Crassostrea gigas harvests caused by Pacific Oyster Mortality Syndrome(POMS).As a part of the program,this study was performed to estimate the genetic structure underlying phenotypic variation.Fifteen complete diallel crossings of C.gigas and C.angulata,comprising 60 full-sib families,were used to evaluate the general combining ability(GCA)and specific combining ability(SCA),as well as genotype and environment interactions for shell height(SH),summer survival(SS),and thermal tolerance(TT)of reciprocal hybrids GA(C.gigas♀×C.angulata♂)and AG(C.angulata♀×C.gigas♂)grown in Rongcheng and Rushan,Shandong Province,China.The results suggested that heterosis of the reciprocal hybrids was evident for SH,SS,and TT.The hybrid GA had larger heterosis than AG in both testing environments,and can be a potential donor in the breeding program.The male C.gigas had better GCA for SH in Rongcheng,whereas male C.angulata was a good general combiner for SS and TT in both Rongcheng and Rushan.The estimate of SCA was much higher than GCA for SH and lower than GCA for TT.To harness both additive and non-additive genetic effects,combination breed-ing could be taken to develop hybrid varieties possessing both thermal tolerance and fast-growing traits.The positive correlations between SH and TT suggested that these traits could be improved simultaneously.The significant G×E interactions demonstrated the importance to undertake site-specific breeding programs in different environments.Overall,this study can provide essential information for developing crossbreeding strategies for the oyster farming industry.
基金National Key Research and Development Program of China(2022YFF0707602)National Natural Science Foundation of China(62471097,62471115,62471101)National Natural Science Foundation of Sichuan(2025ZNSFSC0537)。
文摘[Background]Traveling-wave tubes(TWTs)are widely applied in radar,imaging,and military systems owing to their excellent amplification characteristics.Miniaturization and integration are critical to the future of TWTs,with multi-channel slow-wave structures(SWSs)forming the foundation for their realization in high-power vacuum electronic devices.[Purpose]To provide design insights for multi-channel TWTs and simultaneously enhance their output power,a W-band folded-waveguide TWT with dual electron beams and H-plane power combining was proposed.[Methods]Three-dimensional electromagnetic simulations in CST were conducted to verify the highfrequency characteristics,electric field distribution,and amplification performance of the proposed SWS,thereby confirming the validity of the design.[Results]Results indicate that the designed TWT achieves a transmission bandwidth of 10 GHz.With an electron beam voltage of 17.9 kV and a current of 0.35 A,the output power reaches 450 W at 94 GHz,corresponding to an efficiency of 7.18%and a gain of 23.5 dB.Moreover,under fixed beam voltage and current,the TWT delivers over 200 W output power across 91–99 GHz,with a 3 dB bandwidth of 91–98.5 GHz.The particle voltage distribution after modulation further validates the mode analysis.[Conclusions]These results demonstrate the feasibility of compact dual-beam power-combining structures and provide useful guidance for the design of future multi-channel TWTs.
文摘Twenty short-statured maize inbred lines were collected from CIMMYT India and Mexico through the Plant Breeding Division, Bangladesh Agricultural Research Institute (BARI), Gazipur. The experiment was conducted from November 2020 to April 2021 in three different agroecological regions such as BARI, Gazipur, RARS Barisal and RARS Rangpur. Seven inbred lines were selected on the basis of genetic diversity and per se performance and they were crossed separately in a 7 × 7 half diallel fashion, producing 21F1 hybrids in 2019 which were evaluated at three locations. However, variances due to GCA were much higher in magnitude than SCA for all the characters indicating preponderance of additive gene effects on the inheritance of these characters. Two parents viz., P3 (CML33) and P4 (CML41) were good general combiners and two crosses viz., P4 × P5 (CML41 × CML31) and P5 × P7 (CML31 × CML124) expressed significant positive SCA effects coupled with significant positive heterosis for grain yield and for most of the yield contributing characters over the two commercial check varieties BHM 9 and NK40. Four crosses: P1 × P5 (CML116 × CML31), P1 × P6 (CML116 × CML32), P2 × P6 (CML72 × CML32) and P3 × P4 (CML33 × CML41), exhibited significant and negative SCA effects for both plant and ear height which were desirable for short stature. Genotypes x location interaction was also significant for maximum characters, suggesting that genotypes interacted significantly in different environments.
基金This work is supported by the Ministry of Education of Humanities and Social Science projects in China(No.20YJCZH124)Guangdong Province Education and Teaching Reform Project No.640:Research on the Teaching Practice and Application of Online Peer Assessment Methods in the Context of Artificial Intelligence.
文摘This study proposes a learner profile framework based on multi-feature fusion,aiming to enhance the precision of personalized learning recommendations by integrating learners’static attributes(e.g.,demographic data and historical academic performance)with dynamic behavioral patterns(e.g.,real-time interactions and evolving interests over time).The research employs Term Frequency-Inverse Document Frequency(TF-IDF)for semantic feature extraction,integrates the Analytic Hierarchy Process(AHP)for feature weighting,and introduces a time decay function inspired by Newton’s law of cooling to dynamically model changes in learners’interests.Empirical results demonstrate that this framework effectively captures the dynamic evolution of learners’behaviors and provides context-aware learning resource recommendations.The study introduces a novel paradigm for learner modeling in educational technology,combining methodological innovation with a scalable technical architecture,thereby laying a foundation for the development of adaptive learning systems.
基金supported by National Natural Science Foundation of China(No.61761027)Gansu Young Doctor’s Fund for Higher Education Institutions(No.2021QB-053)。
文摘The traditional EnFCM(Enhanced fuzzy C-means)algorithm only considers the grey-scale features in image segmentation,resulting in less than satisfactory results when the algorithm is used for remote sensing woodland image segmentation and extraction.An EnFCM remote sensing forest land extraction method based on PCA multi-feature fusion was proposed.Firstly,histogram equalization was applied to improve the image contrast.Secondly,the texture and edge features of the image were extracted,and a multi-feature fused pixel image was generated using the PCA technique.Moreover,the fused feature was used as a feature constraint to measure the difference of pixels instead of a single grey-scale feature.Finally,an improved feature distance metric calculated the similarity between the pixel points and the cluster center to complete the cluster segmentation.The experimental results showed that the error was between 1.5%and 4.0%compared with the forested area counted by experts’hand-drawing,which could obtain a high accuracy segmentation and extraction result.
基金the State Key Laboratory of Drug Regulatory Science,Establishment of a Comprehensive Evaluation Method for the Quality of Chinese Medicinal Herbs Pogostemon cablin(Blanco)Benth.and Saposhnikovia divaricata(Turcz)Schischk.,Suited to the Characteristics of Traditional Chinese Medicine[No.2023SKLDRS0101]。
文摘OBJECTIVE:Antibiotics are the main drugs used to treat bacterial infections,which have been extensively utilized across various fields.However,the problem of antimicrobial resistance(AMR)has greatly limited its use,leading to the creation of various superbugs such as Methicillin-resistant Staphylococcus aureus(MRSA),making antibiotics less effective,become a major global public health challenge.MRSA,which is resistant to mostβ-lactam and cephalosporin antibiotics,poses a significant threat to public health.Combination therapy has shown promise as a strategy to combat multi-drugresistant bacteria.Chinese medicine also has potential applications in this field.Thus,we tried to find a new approach to overcoming MRSA by combining Chinese herb and penicillin G sodium(PGS).METHODS:The antibacterial activity of Guanghuoxiang(Herba Pogostemonis)samples was investigated by turbidimetry.Then using the checkerboard assay,live/dead bacterial staining and scanning electron microscopy(SEM)to investigate whether the combination of Guanghuoxiang(Herba Pogostemonis)samples and PGS could improve the sensitivity of MRSA,and metabolomics was used to investigate the underlying mechanisms.RESULTS:In this study,we find that the Guanghuoxiang(Herba Pogostemonis)samples had good inhibitory effects on MRSA,and showed a synergistic effect when combined with PGS,enhancing the sensitivity of MRSA to PGS.Metabolomics data further revealed that this combination exerts a broader impact on the energy and material metabolism of the bacteria,resulting in improved antibacterial efficacy.CONCLUSION:Combining Guanghuoxiang(Herba Pogostemonis)with antibiotics could improve the sensitivity of drug-resistant bacteria,provided a new direction for solving the problem of AMR,and offered a valuable strategy for clinical response to MRSA.
文摘BACKGROUNDGastrointestinal neuroendocrine carcinoma (GI NEC) has a low incidence rate andpoor prognosis. Most patients already have metastatic disease when they arediagnosed. Platinum chemotherapy is the main means of treating metastatic GINECs. There is a lack of effective treatment methods after chemotherapy failure.Therefore, Therefore, selecting appropriate posterior-line treatment programs toimprove the prognosis of patients is urgently needed.CASE SUMMARYA 64-year-old female was diagnosed with stage IV NEC of the rectum due toabdominal pain and rectal bleeding. After multiline chemotherapy, the conditionprogressed, and the patient was treated with a combination of camrelizumab and surufatinib. The efficacy evaluation revealed partial remission (PR) and stable conditions, with the expression ofthe tumor marker neuron-specific enolase (NSE) returning to normal. The adverse reactions were controllable, andthe overall condition was good, with weight gain achieved in the past four years. Another 51-year-old femaleexperienced recurrence and metastasis of a duodenal NEC after surgery. After multiline chemotherapy, shereceived sintilimab combined with surufatinib. The curative effect fluctuated between PR and stability. Duringtreatment, she recovered from immune-related diabetes and later died due to deterioration of her condition.During the treatment, the patient’s NSE level returned to normal.CONCLUSIONThe combination of antiangiogenic targeted drugs and immunotherapy provides a new therapeutic approach forthe treatment of metastatic GI-NECs.
基金supported by the Shaanxi Qinchuang Yuan“scientist+engineer”team construction(No.2023KXJ-080)Shaanxi Chiral Drug Engineering Technology Research Center(Department of Science and Technology of Shaanxi Province.No.[2011]-251).
文摘Background:Human skin is affected by ultraviolet rays on a daily basis,and excessive ultraviolet radiation(UVR)can lead to sunburn erythema,tanning,photoaging,and skin tumors.The combination of Astragali Radix(AR)and Anemarrhenae Rhizoma(AAR)is a common pairing in traditional Chinese medicine(TCM).According to earlier studies,they possess properties capable of alleviating the adverse impacts of UVR on the skin.However,the specific actions and underlying mechanisms require further investigation.The study aims to analyze the efficacy of AR-AAR in preventing UVR-induced skin damage and to clarify the associated molecular mechanisms.Methods:Potential signaling pathways by which AR and AAR may protect against UVR-induced skin damage were identified with network pharmacology,molecular docking techniques and molecular dynamics(MD)simulation.Except the normal group,the back skin of SD rats was exposed to 1.1 mW/cm^(2) UVA combined with 0.1 mW/cm^(2) UVB daily,and the UVR skin damage model was established.Morphological features of skin tissues of different groups were discovered through Hematoxylin and Eosin(HE)staining,Masson staining,Weigert staining.ELISA was utilized to measure the levels of reactive oxygen species(ROS),Interleukin 6(IL-6),Interleukin 1β(IL-1β)and Tumor necrosis factos-α(TNF-α)in skin tissues.RT-PCR and Western blot were employed to quantify the mRNA and protein contents of PI3K,AKT,and MMP-9.Results:Network pharmacology analysis predicts that AR-AAR may improve skin damage induced by UVR through the PI3K/AKT signaling pathway.Histological staining shows that AR-AAR can significantly reduce inflammatory infiltration and fibrosis in damaged skin.Treatment with AR-AAR(2:1)significantly reduced the expression levels of IL-1β,IL-6,TNF-αand ROS in UVR-damaged rat skin.After treatment with AR-AAR(2:1),not only did the relative mRNA expression levels of PI3K and AKT and the protein expression levels of PI3K,AKT,P-PI3K,and P-AKT increase,but the mRNA and protein expression levels of MMP-9 decreased.Conclusion:The study indicate that the AR-AAR combination and its active components may mitigate UVR skin damage by modulating the PI3K/AKT signaling pathway.
基金supported by the Ningbo Natural Science Foundation(Youth Foundation,No.2024J449)the Scientific Research Foundation for Introduced Talents of Ningbo University(Nos.ZX2022000602 and ZX2024000043)。
文摘Polyfluoroalkyl substances(PFAS)have emerged as persistent environmental contaminants because of their chemical stability,degradation-resistance and bioaccumulation potential.However,current studies mainly focus on the toxicity of single PFAS such as perfluorooctanoic acid(PFOA)and perfluorobutanoic acid(PFBA),the knowledge of their combined effects is relatively limited.In this study,we explored the immune response of the gut in large yellow croaker(Larimichthys crocea)under the combined stress of PFOA and PFBA.Histologicalanalyses revealed that the combined effect induced intestinal vacuolization and decreased the length of intestinal villi.And it significantly activated pro-inflammatory pathways with marked upregulation of tnfα,il1β,il6 and myd88 expressions,particularly after 14 days of exposure.Gut microbiota analysis revealed substantial dysbiosis,including 1)reduced alpha diversity,2)increased abundance of potential pathogenic taxa(Proteobacteria and Spirochaetota),and 3)depletion of beneficial Firmicutes.PICRUSt-based functional prediction indicated temporal metabolic shifts,with upregulation of DNA repair pathways at day 3 and enhanced bacterial motility protein activity at days 7 and 14 of post-exposure.The Pearson correlation analysis further indicated that these immune genes had significant positive correlations with Vibrio and Brevinema,and negative correlations with Streptococcus.Our present study will provide novel insights into the microbiome-mediated immunomodulation in the larger yellow croaker exposed to combined PFAS,which will be helpful for healthy farming of economically important marine species.
基金supported by the National Natural Science Foundation of China(No.82273919)Natural Science Foundation of Heilongjiang Province(No.LH2024H013)China Postdoctoral Science Foundation(No.2022MD723781).
文摘Constructing nanofibers with specific therapeutic effects against cancer is a challenge.Here,we present the synthesis approach and application prospects of supramolecular nanofibers,which are based on cucurbit[8]uril(CB[8])as the host and terpyridine lanthanum ions metal complex as the vip,constructed by layer-by-layer self-assembly through supramolecular interaction.Moreover,nanofibers with lanthanide luminescence properties exhibit surprising pH-responsive deformation properties and antibacterial behavior.In the tumor micro-environment,the dramatic reduction in the size of the nanofibers enables specific and hierarchical release of anticancer drugs in tumor cells to exert an advanced therapeutic effect.In addition,the synergistic therapeutic efficacy was achieved by reducing the excess of Gram-positive and Gram-negative bacteria surrounding tumor cells.The novel supramolecular nanofibers with sequential drug release and combined therapeutic mode provide new guidance for the synthesis of drug carrier materials and direction for the promotion of nanomaterial-mediated cancer therapy.
基金supported by the National Natural Science Foundation(32130068,32271634,and 32071597)CAS Key Laboratory of Forest Ecology and Silviculture,Institute of Applied Ecology,Chinese Academy of Sciences(KLFES-2025)。
文摘Urban forests are highly multifunctional and provide numerous ecological functions.Plant functional traits individually or jointly influence the ecological multifunctionality of tree species(TS-EMF)and can also modify TSEMF in response to environmental changes.However,there has been limited exploration of multitrait combinations for predicting TS-EMF across seasons and of trait thresholds that enhance TS-EMF.Here,for 10 dominant tree species in urban forests of Northeast China,14 traits were measured and four aboveground and three belowground ecological functions assessed in three seasons.Ecological functions and TS-EMF differed significantly throughout the seasons(P<0.05).Synergistic relationships were found between carbon sequestration and oxygen release,between cooling and humidification,and between organic carbon accumulation and nutrient cycling.Notably,aboveground multifunctionality played a leading role in TS-EMF.With seasonal changes,resource allocation shifted toward traits related to resource acquisition rather than conservation to maintain TS-EMF.The combination of traits that predicted TS-EMF varied by type,accounting for up to 66.45%of the variation.TS-EMF was primarily driven by leaf structure in spring and by nutrient accumulation in autumn.Leaf carbon content(LCC)consistently served as a stabilizing factor for predicting TS-EMF across seasons.At 36.5-36.8 mg g^(-1),LCC had its optimal effect on TS-EMF.Other traits in combination that positively influence total TS-EMF include leaf nitrogen content(3.43-3.45 mg g^(-1)),leaf phosphorus content(0.80-0.83 mg g^(-1)),and leaf area(65.86-68.43 cm^(2)).Within these specified trait thresholds,Morus alba and Quercus mongolica were identified as key species.These findings suggest that the trade-off between various ecological functions can be managed by altering plant traits across seasons.This approach could provide a theoretical foundation for enhancing the TS-EMF of urban forests through trait-based management,offering practical guidance for selecting tree species.
基金supported by National Science and Technology Council(NSTC)Taiwan,Grant No.NSTC 113-2221-E-167-023.
文摘Mango is a plant with high economic value in the agricultural industry;thus,it is necessary to maximize the productivity performance of the mango plant,which can be done by implementing artificial intelligence.In this study,a lightweight object detection model will be developed that can detect mango plant conditions based on disease potential,so that it becomes an early detection warning system that has an impact on increasing agricultural productivity.The proposed lightweight model integrates YOLOv7-Tiny and the proposed modules,namely the C2S module.The C2S module consists of three sub-modules such as the convolutional block attention module(CBAM),the coordinate attention(CA)module,and the squeeze-and-excitation(SE)module.The dataset is constructed by eight classes,including seven classes of disease conditions and one class of health conditions.The experimental result shows that the proposed lightweight model has the optimal results,which increase by 13.15% of mAP50 compared to the original model YOLOv7-Tiny.While the mAP50:95 also achieved the highest results compared to other models,including YOLOv3-Tiny,YOLOv4-Tiny,YOLOv5,and YOLOv7-Tiny.The advantage of the proposed lightweightmodel is the adaptability that supports it in constrained environments,such as edge computing systems.This proposedmodel can support a robust,precise,and convenient precision agriculture system for the user.
文摘Glioblastoma(GBM),the most aggressive and lethal primary brain tumor in adults,continues to resist conventional therapeutic approaches,withmedian survival remaining dismally low.Immune checkpoint inhibitors(ICIs),which have revolutionized the treatment of several solid tumors,have shown limited efficacy inGBMowing to the highly immunosuppressive and heterogeneousmicroenvironment of the tumor.The unique immune landscape of the central nervous system(CNS),characterized by low immunogenicity,restricted T-cell infiltration,and an abundance of regulatory and myeloid-derived suppressor cells,poses considerable barriers to effective immune reactivation.This review provides a comprehensive synthesis of the mechanistic barriers undermining ICI efficacy in GBM,including the blood-brain barrier,low tumor mutational burden,adaptive immune resistance,and iatrogenic immunosuppression.It also explores emerging predictive and prognostic biomarkers,such as programmed death-ligand 1(PD-L1)expression,immune gene signatures,tumor-infiltrating lymphocyte profiles,and circulating markers in cerebrospinal fluid and plasma,which hold promise for guiding patient selection and therapeutic monitoring.Importantly,recent breakthroughs in combinatorial immunotherapy strategies are highlighted,including the integration of ICIs with radiotherapy,anti-angiogenic agents,oncolytic viruses,personalized neoantigen vaccines,and tumor microenvironment reprogramming approaches.Innovative delivery platforms,such as nanoparticles,focused ultrasound,and convection-enhanced delivery,are also discussed for their potential to improve drug bioavailability and local immune activation in the CNS.This review hypothesizes that the therapeutic efficacy of ICIs in GBM can be considerably enhanced by disrupting immune exclusion and reversing immunosuppression through integrated,multimodal strategies guided by dynamic biomarker profiling and spatially resolved immunemapping.This hypothesisdriven approach aims to bridge translational gaps and inform next-generation clinical trial designs that may unlock the potential of immunotherapy for GBM.
文摘The internal flow fields within a three-dimensional inward-tunning combined inlet are extremely complex,especially during the engine mode transition,where the tunnel changes may impact the flow fields significantly.To develop an efficient flow field reconstruction model for this,we present an Improved Conditional Denoising Diffusion Generative Adversarial Network(ICDDGAN),which integrates Conditional Denoising Diffusion Probabilistic Models(CDDPMs)with Style GAN,and introduce a reconstruction discrimination mechanism and dynamic loss weight learning strategy.We establish the Mach number flow field dataset by numerical simulation at various backpressures for the mode transition process from turbine mode to ejector ramjet mode at Mach number 2.5.The proposed ICDDGAN model,given only sparse parameter information,can rapidly generate high-quality Mach number flow fields without a large number of samples for training.The results show that ICDDGAN is superior to CDDGAN in terms of training convergence and stability.Moreover,the interpolation and extrapolation test results during backpressure conditions show that ICDDGAN can accurately and quickly reconstruct Mach number fields at various tunnel slice shapes,with a Structural Similarity Index Measure(SSIM)of over 0.96 and a Mean-Square Error(MSE)of 0.035%to actual flow fields,reducing time costs by 7-8 orders of magnitude compared to Computational Fluid Dynamics(CFD)calculations.This can provide an efficient means for rapid computation of complex flow fields.
基金Supported by Discipline Construction Project of Shanxi University of Chinese Medicine—Internal Medicine of Traditional Chinese Medicine(2025XK02).
文摘The existence of the"stomach-knee axis"and the potential independent association between"Helicobacter pylori(Hp)infection and knee osteoarthritis(KOA)"have been substantiated through multiple lines of evidence,including epidemiological studies of the"stomach-knee axis",investigations into the pathological mechanisms linking"Hp infection and arthritis",as well as research on co-treatment drugs and the anti-inflammatory mechanisms relevant to"gastritis and arthritis".The investigation into"stomach and knee joint treatment"is grounded in the concept that the"stomach-knee axis"aligns with the"combined bi of body constituents and zang organs"theory.Clinical cases have demonstrated that therapeutic strategies of"stomach and knee joint treatment"can mitigate KOA damage by modulating the"stomach-knee axis"and eradicating Hp infection in the stomach.This study aims to contribute novel insights into the cross-system treatment of KOA.Further investigation into the"stomach-knee axis"may yield innovative strategies for the prevention and management of KOA,potentially through the eradication of Hp.
文摘[Objective] Analysis of combining ability of starch content variation in hybrid sorghum with the assistant of AMMI model. [Method] Based on the analyses of GCA using incomplete diallel cross(NCII), the SCA of hybrid sorghum was analyzed by AMMI model. [Result] For the starch content change of F1 hybrid sorghum, the effects of GCA and SCA accounted for 81.06% and 17.97%, respectively. In the present study, CMS lines 45A, 29A and restorer lines Hui 1, 44R were proved to be the excellent parent materials for preparing high starch hybrid sorghum cultivars. [Conclusion] The improvement of starch content in parents should be mainly concerned in breeding high starch content hybrid sorghum.
基金This paper is supported by National Natural Science Foundation of China （No. 61074078） and Fundamental Research Funds for the Central Universities （No. 12MS121）.
