Foliar uptake of airborne metal(loid)s plays a crucial role in metal(loid)accumulation in plant organs and is influ-enced by the size and emission sources of aerosols.Given the high enrichment of toxic metal(loid)s in...Foliar uptake of airborne metal(loid)s plays a crucial role in metal(loid)accumulation in plant organs and is influ-enced by the size and emission sources of aerosols.Given the high enrichment of toxic metal(loid)s in submicron-scale particulates(PM1),this study established a PM1 exposure system to examine airborne metal(loid)accu-mulation and foliar physiological responses in Oryza sativa L.The results showed that the concentrations of Cu,Zn,As,Pb,and Cd in the leaves and grains were influenced not only by the airborne metal(loid)levels but also by the specific nature of the PM1 particles.The quantitative model for PM1-associated Pb entry into leaf tissue indicated that foliar Pb accumulation was primarily driven by particle adhesion,followed by hydrophilic pene-tration and trans-stomatal liquid film migration,accounting for 87%–89%of the total accumulation.The strong hygroscopicity and high Pb activity of PM1 emitted from waste incineration(WI)increased the Pb absorption coefficient via the hydrophilic and liquid film migration pathway.In contrast,the high hydrophobicity of PM1 from coal burning(CB)led to greater retention of Pb on leaf surfaces.Both foliar reactive oxygen metabolism and photosynthesis indices were sensitive to air pollution.Foliar metal(loid)accumulation and airborne PM1 concentration accounted for the variance in physiological responses in rice leaves.Our results also indicated that Pb was the key element in PM1 emissions from both coal burning(CB)and waste incineration(WI)responsible for significant physiological changes in rice leaves.展开更多
Low-density lipoprotein receptor-related protein 1(LRP1)is a multifunctional endocytic receptor whose dysfunction is linked to developmental dysplasia of the hip,osteoporosis and osteoarthritis.Our work addresses the ...Low-density lipoprotein receptor-related protein 1(LRP1)is a multifunctional endocytic receptor whose dysfunction is linked to developmental dysplasia of the hip,osteoporosis and osteoarthritis.Our work addresses the critical question of how these skeletal pathologies emerge.Here,we show the abundant expression of LRP1 in skeletal progenitor cells at mouse embryonic stage E10.5 and onwards,especially in the perichondrium,the stem cell layer surrounding developing limbs essential for bone formation.Lrp1 deficiency in these stem cells causes joint fusion,malformation of cartilage/bone template and markedly delayed or lack of primary ossification.展开更多
The oral microbiome is the second largest microbial community in the human body after the gut microbiome.It includes an array of fungi,bacteria,amoebae,flagellates,archaea,and viruses,all of which are potential pathog...The oral microbiome is the second largest microbial community in the human body after the gut microbiome.It includes an array of fungi,bacteria,amoebae,flagellates,archaea,and viruses,all of which are potential pathogens.This microbiome can act as a facilitator not only for protection but also for aggravation when dysbiosis occurs.Although conventional thought is this is primarily in terms of oral health issues,such as dental caries and gingival disease.The systemic effects of the oral microbiome however,are relevant to both gastrointestinal(GI)disease and non-GI disease.These systemic risks occur for several reasons,including upregulation of cytokines,adhesion cell-like processes,toll-like receptors,reactive oxidative species or generation of mutation inducing DNA changes.Additionally,there is translocation risk of potential active pathogens or their metabolic byproducts.There is a substantial and growing body of evidence that the oral microbiome influences diseases including Barrett’s esophagus,metabolicassociated steatosis liver disease,and GI cancers.Additionally,there is burgeoning evidence of a causal association with systemic inflammatory diseases,including inflammatory bowel disease.This report discusses the most recent evidence of this association and highlights new approaches to potentially enhance our“best practice”strategies for optimal care of patients with inflammatory bowel disease.展开更多
As blockchain technology advances,non-fungible tokens(NFTs)are emerging as unconventional assets in the commercial market.However,it is necessary to establish a comprehensive NFT ecosystem that addresses the prevailin...As blockchain technology advances,non-fungible tokens(NFTs)are emerging as unconventional assets in the commercial market.However,it is necessary to establish a comprehensive NFT ecosystem that addresses the prevailing public concerns.This study aimed to bridge this gap by analyzing user-generated content on prominent social media platforms such as Twitter,Weibo,and Reddit.Employing text clustering and topic modeling techniques,such as Latent Dirichlet Allocation,we constructed an analytical framework to delve into the intricacies of the NFT ecosystem.Our investigation revealed seven distinct topics from Twitter and Reddit data and eight topics from Weibo data.Weibo users predominantly engaged in reviews and critiques,whereas Twitter and Reddit users emphasized personal experiences and perceptions.The NFT ecosystem encompasses several crucial elements,including transactions,customers,infrastructure,products,environments,and perceptions.By identifying the prevailing trends and common issues,this study offers valuable guidance for the development of NFT ecosystems.展开更多
Civil infrastructure is continuously subject to aging and deterioration due to multiple factors,which lead to a decline in performance and impact structural health.Accumulated damage on structures increases operationa...Civil infrastructure is continuously subject to aging and deterioration due to multiple factors,which lead to a decline in performance and impact structural health.Accumulated damage on structures increases operational costs and poses significant risks to public safety.Effective maintenance,repair,and rehabilitation strategies are needed to ensure civil infrastructure’s overall safety and reliability.Non-Destructive Evaluation(NDE)methods are utilized to assess latent damage and provide decision-makers with real-time information for mitigating hazards.Within the last decade,there has been a significant increase in the research and development of innovative NDE techniques to improve data processing and promote efficient and accurate infrastructure assessment.This paper aims to review one of those methods,namely,Infrared Thermography(IRT),and its applications in civil infrastructure.A comprehensive review is presented by investigating numerous journal articles,research papers,and technical reports describing numerous IRT applications for bridges,buildings,and general civil structures made from different materials.The capability of IRT to identify and pinpoint anomalies,typically in the early stages of degradation,has excellent potential to improve the safety and shore up the dependability of civil infrastructures while reducing expenses tied to maintenance and rehabilitation.Furthermore,the non-invasive nature of IRT is beneficial in mitigating disturbances and downtime that may occur during various inspection procedures.It is highlighted that IRT is a highly versatile and effective tool for infrastructure condition assessment.With further advancement and fine-tuning of the available techniques,it is likely that IRT will continue to gain significant popularity in maintaining and monitoring civil infrastructure.展开更多
Arc-continent collision zones are critical areas where uplift,accretion,and erosion processes significantly influence the growth,elimination,or recycling of the continental crust.The Zagros–Makran Transition Zone,loc...Arc-continent collision zones are critical areas where uplift,accretion,and erosion processes significantly influence the growth,elimination,or recycling of the continental crust.The Zagros–Makran Transition Zone,located along the Minab-Zendan Fault,represents a convergence boundary between the Zagros continental domain and the Makran accretionary prism in southern Iran from the Cretaceous onwards.Several tectonic slices,including Neotethys ophiolitic remnants and the Ganj and Bajgan-Durkan complexes,have accreted along the southern margin of the Eurasian Plate during subduction in the western Makran wedge.To clarify the growth steps of the Makran Prism and the internal deformation associated with arc-continent collision,we used a provenance study of sandstones from the western Makran accretionary prism involving petrography of the main detrital components and U–Pb dating,Hf isotopic values,and trace elements of detrital zircon grains.Our findings reveal a progressive scenario in which oceanic arc-related rocks of the∼99 Ma Ganj Complex with Hf values ranging from+10 to+16 were uplifted during the Early to Late Eocene.The Eocene fore-arc sediments were sourced from the∼49–47 Ma Urumieh-Dokhtar Magmatic Arc with Hf values between−5 and+12,as well as from the Ganj Complex.The Jurassic–Cretaceous Bajgan-Durkan Complex was uplifted due to the Late Eocene to Oligocene collision of various terranes along the southern margin of the Eurasian Plate.This led to a major sediment influx into the Makran trench with a detrital signal in the range∼175–160 Ma with Hf isotopic values from−3 to+4 and alongside the Urumieh-Dokhtar Magmatic Arc with detrital ages ranging∼46–37 Ma and ca.80 Ma.Notably,metamorphic lithic grains began to appear in the sediments in the Late Eocene.The initial arrival of sediments from the Arabian margin to the arc-continent suture zone along the Minab-Zendan Fault indicates the onset of initial collision.During the Late Oligocene–Early Miocene,detrital zircon ages in the range of∼610–520 Ma,sourced from the Arabian basement,were deposited in the trench basin together with components from the Eocene Urumieh-Dokhtar Magmatic Arc and Cretaceous ophiolitic clasts of∼93 Ma with Hf isotopic values of+12 to+16.Following the development and uplift of the orogen from the Middle Miocene onward,detrital zircon grains from the Cretaceous–Miocene Urumieh-Dokhtar Magmatic Arc,Jurassic–Cretaceous Bajgan-Durkan Complex,and Cretaceous ophiolites are present in both the Makran and Zagros sedimentary domains.展开更多
Computer-aided surgical navigation technology helps and guides doctors to complete the operation smoothly,which simulates the whole surgical environment with computer technology,and then visualizes the whole operation...Computer-aided surgical navigation technology helps and guides doctors to complete the operation smoothly,which simulates the whole surgical environment with computer technology,and then visualizes the whole operation link in three dimensions.At present,common image-guided surgical techniques such as computed tomography(CT)and X-ray imaging(X-ray)will cause radiation damage to the human body during the imaging process.To address this,we propose a novel Extended Kalman filter-based model that tracks the puncture needle-point using an ultrasound probe.To address the limitations of Kalman filteringmethods based on position and velocity,our method of Kalman filtering uses the position and relative velocity of the puncture needle-point instead,and the ultrasonic probe is controlled by a Proportional Integral(PI)controller in X-axis direction and Proportional Derivative(PD)controller in the Y-axis direction.The motion of the ultrasonic probe can be servo-controlled by whether the image information of the puncture needle-point can be detected by the ultrasonic image so that the ultrasonic probe can track the puncture needle-point in real time.The experiment results show that this method has better tracking performance.展开更多
3D medical image reconstruction has significantly enhanced diagnostic accuracy,yet the reliance on densely sampled projection data remains a major limitation in clinical practice.Sparse-angle X-ray imaging,though safe...3D medical image reconstruction has significantly enhanced diagnostic accuracy,yet the reliance on densely sampled projection data remains a major limitation in clinical practice.Sparse-angle X-ray imaging,though safer and faster,poses challenges for accurate volumetric reconstruction due to limited spatial information.This study proposes a 3D reconstruction neural network based on adaptive weight fusion(AdapFusionNet)to achieve high-quality 3D medical image reconstruction from sparse-angle X-ray images.To address the issue of spatial inconsistency in multi-angle image reconstruction,an innovative adaptive fusion module was designed to score initial reconstruction results during the inference stage and perform weighted fusion,thereby improving the final reconstruction quality.The reconstruction network is built on an autoencoder(AE)framework and uses orthogonal-angle X-ray images(frontal and lateral projections)as inputs.The encoder extracts 2D features,which the decoder maps into 3D space.This study utilizes a lung CT dataset to obtain complete three-dimensional volumetric data,from which digitally reconstructed radiographs(DRR)are generated at various angles to simulate X-ray images.Since real-world clinical X-ray images rarely come with perfectly corresponding 3D“ground truth,”using CT scans as the three-dimensional reference effectively supports the training and evaluation of deep networks for sparse-angle X-ray 3D reconstruction.Experiments conducted on the LIDC-IDRI dataset with simulated X-ray images(DRR images)as training data demonstrate the superior performance of AdapFusionNet compared to other fusion methods.Quantitative results show that AdapFusionNet achieves SSIM,PSNR,and MAE values of 0.332,13.404,and 0.163,respectively,outperforming other methods(SingleViewNet:0.289,12.363,0.182;AvgFusionNet:0.306,13.384,0.159).Qualitative analysis further confirms that AdapFusionNet significantly enhances the reconstruction of lung and chest contours while effectively reducing noise during the reconstruction process.The findings demonstrate that AdapFusionNet offers significant advantages in 3D reconstruction of sparse-angle X-ray images.展开更多
Endocrine disorders are increasingly recognized as potentially reversible causes of secondary cardiomyopathies,yet they often remain underdiagnosed in clinical practice.These conditions-including thyroid dysfunction,a...Endocrine disorders are increasingly recognized as potentially reversible causes of secondary cardiomyopathies,yet they often remain underdiagnosed in clinical practice.These conditions-including thyroid dysfunction,acromegaly,pheochromocytoma,diabetes mellitus,adrenal disorders,among others-can significantly alter cardiac structure and function through hormonal excess,metabolic remodeling,and neurohumoral activation.Hyperthyroidism may lead to high-output heart failure(HF)and atrial fibrillation,while hypothyroidism is associated with diastolic dysfunction,pericardial effusion,and accelerated atherosclerosis.Acromegaly promotes biventricular hypertrophy and myocardial fibrosis via insulin-like growth factor 1 overproduction.Pheochromocytoma triggers catecholamine-induced cardiomyopathy,resembling Takotsubo syndrome and carrying a high risk of mortality if left untreated.Diabetes induces a distinct phenotype of cardiomyopathy,affecting both systolic and diastolic function through microvascular injury and oxidative stress.Recognizing these endocrine etiologies is crucial,as targeted hormonal therapies-such as antithyroid agents,somatostatin analogs,or adrenalectomy-can reverse or significantly mitigate cardiac dysfunction.Comprehensive endocrine screening in patients with unexplained cardiomyopathy is therefore essential.This review synthesizes current knowledge on the pathophysiological mechanisms,clinical manifestations,and therapeutic strategies for endocrine cardiomyopathies and proposes a diagnostic algorithm for early recognition.Emerging biomarkers,such as galectin-3 in diabetic heart disease,may further enhance diagnostic accuracy and risk stratification.The interplay between endocrine and cardiovascular systems offers a unique opportunity for early intervention,potentially preventing progression to irreversible HF.展开更多
基金supported by the National Natural Science Foundation of China(Nos.42077367 and 21677123).
文摘Foliar uptake of airborne metal(loid)s plays a crucial role in metal(loid)accumulation in plant organs and is influ-enced by the size and emission sources of aerosols.Given the high enrichment of toxic metal(loid)s in submicron-scale particulates(PM1),this study established a PM1 exposure system to examine airborne metal(loid)accu-mulation and foliar physiological responses in Oryza sativa L.The results showed that the concentrations of Cu,Zn,As,Pb,and Cd in the leaves and grains were influenced not only by the airborne metal(loid)levels but also by the specific nature of the PM1 particles.The quantitative model for PM1-associated Pb entry into leaf tissue indicated that foliar Pb accumulation was primarily driven by particle adhesion,followed by hydrophilic pene-tration and trans-stomatal liquid film migration,accounting for 87%–89%of the total accumulation.The strong hygroscopicity and high Pb activity of PM1 emitted from waste incineration(WI)increased the Pb absorption coefficient via the hydrophilic and liquid film migration pathway.In contrast,the high hydrophobicity of PM1 from coal burning(CB)led to greater retention of Pb on leaf surfaces.Both foliar reactive oxygen metabolism and photosynthesis indices were sensitive to air pollution.Foliar metal(loid)accumulation and airborne PM1 concentration accounted for the variance in physiological responses in rice leaves.Our results also indicated that Pb was the key element in PM1 emissions from both coal burning(CB)and waste incineration(WI)responsible for significant physiological changes in rice leaves.
基金The Andor dragonfly Spinning Disk microscope in the CCI was funded by the BBSRC(BB/R01390X/1)This work was supported by the ministry of education of the Kingdom of Saudi Arabia(to M.Alhashmi)+6 种基金Libyan Ministry of Higher Education and Scientific Research and ECMage(to A.M.E.Gremida)Qatar National Research Fund(to N.A.Al-Maslamani)European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement(860635 to M.Antonaci and A.Kerr)BBSRC Grants(BB/T00715X/1 to S.K.Maharana and G.N.WheelerBB/X000907/1 to D.A.Turner)Versus Arthritis Career Development Fellowship(21447 to K.Yamamoto)Versus Arthritis Bridging Fellowship(23137 to K.Yamamoto).
文摘Low-density lipoprotein receptor-related protein 1(LRP1)is a multifunctional endocytic receptor whose dysfunction is linked to developmental dysplasia of the hip,osteoporosis and osteoarthritis.Our work addresses the critical question of how these skeletal pathologies emerge.Here,we show the abundant expression of LRP1 in skeletal progenitor cells at mouse embryonic stage E10.5 and onwards,especially in the perichondrium,the stem cell layer surrounding developing limbs essential for bone formation.Lrp1 deficiency in these stem cells causes joint fusion,malformation of cartilage/bone template and markedly delayed or lack of primary ossification.
文摘The oral microbiome is the second largest microbial community in the human body after the gut microbiome.It includes an array of fungi,bacteria,amoebae,flagellates,archaea,and viruses,all of which are potential pathogens.This microbiome can act as a facilitator not only for protection but also for aggravation when dysbiosis occurs.Although conventional thought is this is primarily in terms of oral health issues,such as dental caries and gingival disease.The systemic effects of the oral microbiome however,are relevant to both gastrointestinal(GI)disease and non-GI disease.These systemic risks occur for several reasons,including upregulation of cytokines,adhesion cell-like processes,toll-like receptors,reactive oxidative species or generation of mutation inducing DNA changes.Additionally,there is translocation risk of potential active pathogens or their metabolic byproducts.There is a substantial and growing body of evidence that the oral microbiome influences diseases including Barrett’s esophagus,metabolicassociated steatosis liver disease,and GI cancers.Additionally,there is burgeoning evidence of a causal association with systemic inflammatory diseases,including inflammatory bowel disease.This report discusses the most recent evidence of this association and highlights new approaches to potentially enhance our“best practice”strategies for optimal care of patients with inflammatory bowel disease.
基金funded by the National Social Science Fund of China(22CTQ019).
文摘As blockchain technology advances,non-fungible tokens(NFTs)are emerging as unconventional assets in the commercial market.However,it is necessary to establish a comprehensive NFT ecosystem that addresses the prevailing public concerns.This study aimed to bridge this gap by analyzing user-generated content on prominent social media platforms such as Twitter,Weibo,and Reddit.Employing text clustering and topic modeling techniques,such as Latent Dirichlet Allocation,we constructed an analytical framework to delve into the intricacies of the NFT ecosystem.Our investigation revealed seven distinct topics from Twitter and Reddit data and eight topics from Weibo data.Weibo users predominantly engaged in reviews and critiques,whereas Twitter and Reddit users emphasized personal experiences and perceptions.The NFT ecosystem encompasses several crucial elements,including transactions,customers,infrastructure,products,environments,and perceptions.By identifying the prevailing trends and common issues,this study offers valuable guidance for the development of NFT ecosystems.
文摘Civil infrastructure is continuously subject to aging and deterioration due to multiple factors,which lead to a decline in performance and impact structural health.Accumulated damage on structures increases operational costs and poses significant risks to public safety.Effective maintenance,repair,and rehabilitation strategies are needed to ensure civil infrastructure’s overall safety and reliability.Non-Destructive Evaluation(NDE)methods are utilized to assess latent damage and provide decision-makers with real-time information for mitigating hazards.Within the last decade,there has been a significant increase in the research and development of innovative NDE techniques to improve data processing and promote efficient and accurate infrastructure assessment.This paper aims to review one of those methods,namely,Infrared Thermography(IRT),and its applications in civil infrastructure.A comprehensive review is presented by investigating numerous journal articles,research papers,and technical reports describing numerous IRT applications for bridges,buildings,and general civil structures made from different materials.The capability of IRT to identify and pinpoint anomalies,typically in the early stages of degradation,has excellent potential to improve the safety and shore up the dependability of civil infrastructures while reducing expenses tied to maintenance and rehabilitation.Furthermore,the non-invasive nature of IRT is beneficial in mitigating disturbances and downtime that may occur during various inspection procedures.It is highlighted that IRT is a highly versatile and effective tool for infrastructure condition assessment.With further advancement and fine-tuning of the available techniques,it is likely that IRT will continue to gain significant popularity in maintaining and monitoring civil infrastructure.
基金This research was supported by the NSFC grant(No.92255303)The first author is grateful for support from the IGGCAS postdoctoral program(2016IFPR01)under the guidance of Prof.Bo Wan.
文摘Arc-continent collision zones are critical areas where uplift,accretion,and erosion processes significantly influence the growth,elimination,or recycling of the continental crust.The Zagros–Makran Transition Zone,located along the Minab-Zendan Fault,represents a convergence boundary between the Zagros continental domain and the Makran accretionary prism in southern Iran from the Cretaceous onwards.Several tectonic slices,including Neotethys ophiolitic remnants and the Ganj and Bajgan-Durkan complexes,have accreted along the southern margin of the Eurasian Plate during subduction in the western Makran wedge.To clarify the growth steps of the Makran Prism and the internal deformation associated with arc-continent collision,we used a provenance study of sandstones from the western Makran accretionary prism involving petrography of the main detrital components and U–Pb dating,Hf isotopic values,and trace elements of detrital zircon grains.Our findings reveal a progressive scenario in which oceanic arc-related rocks of the∼99 Ma Ganj Complex with Hf values ranging from+10 to+16 were uplifted during the Early to Late Eocene.The Eocene fore-arc sediments were sourced from the∼49–47 Ma Urumieh-Dokhtar Magmatic Arc with Hf values between−5 and+12,as well as from the Ganj Complex.The Jurassic–Cretaceous Bajgan-Durkan Complex was uplifted due to the Late Eocene to Oligocene collision of various terranes along the southern margin of the Eurasian Plate.This led to a major sediment influx into the Makran trench with a detrital signal in the range∼175–160 Ma with Hf isotopic values from−3 to+4 and alongside the Urumieh-Dokhtar Magmatic Arc with detrital ages ranging∼46–37 Ma and ca.80 Ma.Notably,metamorphic lithic grains began to appear in the sediments in the Late Eocene.The initial arrival of sediments from the Arabian margin to the arc-continent suture zone along the Minab-Zendan Fault indicates the onset of initial collision.During the Late Oligocene–Early Miocene,detrital zircon ages in the range of∼610–520 Ma,sourced from the Arabian basement,were deposited in the trench basin together with components from the Eocene Urumieh-Dokhtar Magmatic Arc and Cretaceous ophiolitic clasts of∼93 Ma with Hf isotopic values of+12 to+16.Following the development and uplift of the orogen from the Middle Miocene onward,detrital zircon grains from the Cretaceous–Miocene Urumieh-Dokhtar Magmatic Arc,Jurassic–Cretaceous Bajgan-Durkan Complex,and Cretaceous ophiolites are present in both the Makran and Zagros sedimentary domains.
基金supported by the Sichuan Science and Technology Program(2023YFSY0026,2023YFH0004).
文摘Computer-aided surgical navigation technology helps and guides doctors to complete the operation smoothly,which simulates the whole surgical environment with computer technology,and then visualizes the whole operation link in three dimensions.At present,common image-guided surgical techniques such as computed tomography(CT)and X-ray imaging(X-ray)will cause radiation damage to the human body during the imaging process.To address this,we propose a novel Extended Kalman filter-based model that tracks the puncture needle-point using an ultrasound probe.To address the limitations of Kalman filteringmethods based on position and velocity,our method of Kalman filtering uses the position and relative velocity of the puncture needle-point instead,and the ultrasonic probe is controlled by a Proportional Integral(PI)controller in X-axis direction and Proportional Derivative(PD)controller in the Y-axis direction.The motion of the ultrasonic probe can be servo-controlled by whether the image information of the puncture needle-point can be detected by the ultrasonic image so that the ultrasonic probe can track the puncture needle-point in real time.The experiment results show that this method has better tracking performance.
基金Supported by Sichuan Science and Technology Program(2023YFSY0026,2023YFH0004).
文摘3D medical image reconstruction has significantly enhanced diagnostic accuracy,yet the reliance on densely sampled projection data remains a major limitation in clinical practice.Sparse-angle X-ray imaging,though safer and faster,poses challenges for accurate volumetric reconstruction due to limited spatial information.This study proposes a 3D reconstruction neural network based on adaptive weight fusion(AdapFusionNet)to achieve high-quality 3D medical image reconstruction from sparse-angle X-ray images.To address the issue of spatial inconsistency in multi-angle image reconstruction,an innovative adaptive fusion module was designed to score initial reconstruction results during the inference stage and perform weighted fusion,thereby improving the final reconstruction quality.The reconstruction network is built on an autoencoder(AE)framework and uses orthogonal-angle X-ray images(frontal and lateral projections)as inputs.The encoder extracts 2D features,which the decoder maps into 3D space.This study utilizes a lung CT dataset to obtain complete three-dimensional volumetric data,from which digitally reconstructed radiographs(DRR)are generated at various angles to simulate X-ray images.Since real-world clinical X-ray images rarely come with perfectly corresponding 3D“ground truth,”using CT scans as the three-dimensional reference effectively supports the training and evaluation of deep networks for sparse-angle X-ray 3D reconstruction.Experiments conducted on the LIDC-IDRI dataset with simulated X-ray images(DRR images)as training data demonstrate the superior performance of AdapFusionNet compared to other fusion methods.Quantitative results show that AdapFusionNet achieves SSIM,PSNR,and MAE values of 0.332,13.404,and 0.163,respectively,outperforming other methods(SingleViewNet:0.289,12.363,0.182;AvgFusionNet:0.306,13.384,0.159).Qualitative analysis further confirms that AdapFusionNet significantly enhances the reconstruction of lung and chest contours while effectively reducing noise during the reconstruction process.The findings demonstrate that AdapFusionNet offers significant advantages in 3D reconstruction of sparse-angle X-ray images.
文摘Endocrine disorders are increasingly recognized as potentially reversible causes of secondary cardiomyopathies,yet they often remain underdiagnosed in clinical practice.These conditions-including thyroid dysfunction,acromegaly,pheochromocytoma,diabetes mellitus,adrenal disorders,among others-can significantly alter cardiac structure and function through hormonal excess,metabolic remodeling,and neurohumoral activation.Hyperthyroidism may lead to high-output heart failure(HF)and atrial fibrillation,while hypothyroidism is associated with diastolic dysfunction,pericardial effusion,and accelerated atherosclerosis.Acromegaly promotes biventricular hypertrophy and myocardial fibrosis via insulin-like growth factor 1 overproduction.Pheochromocytoma triggers catecholamine-induced cardiomyopathy,resembling Takotsubo syndrome and carrying a high risk of mortality if left untreated.Diabetes induces a distinct phenotype of cardiomyopathy,affecting both systolic and diastolic function through microvascular injury and oxidative stress.Recognizing these endocrine etiologies is crucial,as targeted hormonal therapies-such as antithyroid agents,somatostatin analogs,or adrenalectomy-can reverse or significantly mitigate cardiac dysfunction.Comprehensive endocrine screening in patients with unexplained cardiomyopathy is therefore essential.This review synthesizes current knowledge on the pathophysiological mechanisms,clinical manifestations,and therapeutic strategies for endocrine cardiomyopathies and proposes a diagnostic algorithm for early recognition.Emerging biomarkers,such as galectin-3 in diabetic heart disease,may further enhance diagnostic accuracy and risk stratification.The interplay between endocrine and cardiovascular systems offers a unique opportunity for early intervention,potentially preventing progression to irreversible HF.
