This paper summarized the technical regulations for protected production of netted melon in Yantai City,primarily including technical measures such as the environmental requirements of the production area,cultivation ...This paper summarized the technical regulations for protected production of netted melon in Yantai City,primarily including technical measures such as the environmental requirements of the production area,cultivation techniques,pest and disease control,harvesting,packaging,storage,waste management,and production records for netted melon grown in facilities.The technical regulations aim to standardize the protected production of netted melon and enhance the level of standardized and normative production technology.展开更多
The jamming resource allocation problem of the aircraft formation cooperatively jamming netted radar system is investigated.An adaptive allocation strategy based on dynamic adaptive discrete cuckoo search algorithm(DA...The jamming resource allocation problem of the aircraft formation cooperatively jamming netted radar system is investigated.An adaptive allocation strategy based on dynamic adaptive discrete cuckoo search algorithm(DADCS)is proposed,whose core is to adjust allocation scheme of limited jamming resource of aircraft formation in real time to maintain the best jamming effectiveness against netted radar system.Firstly,considering the information fusion rules and different working modes of the netted radar system,a two-factor jamming effectiveness evaluation function is constructed,detection probability and aiming probability are adopted to characterize jamming effectiveness against netted radar system in searching and tracking mode,respectively.Then a nonconvex optimization model for cooperatively jamming netted radar system is established.Finally,a dynamic adaptive discrete cuckoo search algorithm(DADCS)is constructed by improving path update strategies and introducing a global learning mechanism,and a three-step solution method is proposed subsequently.Simulation results are provided to demonstrate the advantages of the proposed optimization strategy and the effectiveness of the improved algorithm.展开更多
Orthogonal netted radar systems （ONRS） can fundamentally improve the radar performance by using a group of specially designed orthogonal polyphase code signals which require a very low aperiodic autocorrelation peak...Orthogonal netted radar systems （ONRS） can fundamentally improve the radar performance by using a group of specially designed orthogonal polyphase code signals which require a very low aperiodic autocorrelation peak sidelobe level, low aperiodic cross-correlation, and a good resilience to small Doppler shifts. However, the existing numerical solutions degrade severely in the presence of small Doppler shifts. A new set of polyphase sequences is presented with good correlation properties as well as resilience to Doppler shifts. These sequences are built by using numerical optimization based on correlation properties as well as the Doppler effects on matched filter outputs, which maintains the Doppler tolerance. The statistical simulated annealing algorithm and the greedy code search method are used to optimize the sequences. Correlation and Doppler results are compared with the best-known sequences and show to be superior.展开更多
The netted radar system(NRS)has been proved to possess unique advantages in anti-jamming and improving target tracking performance.Effective resource management can greatly ensure the combat capability of the NRS.In t...The netted radar system(NRS)has been proved to possess unique advantages in anti-jamming and improving target tracking performance.Effective resource management can greatly ensure the combat capability of the NRS.In this paper,based on the netted collocated multiple input multiple output(CMIMO)radar,an effective joint target assignment and power allocation(JTAPA)strategy for tracking multi-targets under self-defense blanket jamming is proposed.An architecture based on the distributed fusion is used in the radar network to estimate target state parameters.By deriving the predicted conditional Cramer-Rao lower bound(PC-CRLB)based on the obtained state estimation information,the objective function is formulated.To maximize the worst case tracking accuracy,the proposed JTAPA strategy implements an online target assignment and power allocation of all active nodes,subject to some resource constraints.Since the formulated JTAPA is non-convex,we propose an efficient two-step solution strategy.In terms of the simulation results,the proposed algorithm can effectively improve tracking performance in the worst case.展开更多
For a netted radar system to counteract the deceptionelectronic countermeasure （ECM） signals, an effective electroniccounter countermeasure （ECCM） approach is proposed. The proposedapproach is realized based on th...For a netted radar system to counteract the deceptionelectronic countermeasure （ECM） signals, an effective electroniccounter countermeasure （ECCM） approach is proposed. The proposedapproach is realized based on the new signaling strategyfor the temporal pulse diversity, which makes use of transmittingpulses at each pulse repetition interval （PRI） with specific transmissionpulse block, and then following proper processing andinformation fusion. The existence of the deceptive ECM signal isconfirmed by one station, while the other stations in the nettedradar with same parameters applied the pulse diversity skillfully.Meanwhile, this method ensured that, pulse diversity can be appliedin netted radar. The performance assessment shows that theproposed solutions are effective in presence of ECM signals. Thisalgorithm has been demonstrated by simulations. The presentedsimulation results are in excellent consensus with theoretical predictions.展开更多
Micrometer NbC_x-C three-dimensional netted fibers were synthesized by thecarbothermal method under 0.1 MPa of N_2 ambient atmosphere at a relatively low temperature. Rawmaterials were commercial powders of Nb_2O_5 (9...Micrometer NbC_x-C three-dimensional netted fibers were synthesized by thecarbothermal method under 0.1 MPa of N_2 ambient atmosphere at a relatively low temperature. Rawmaterials were commercial powders of Nb_2O_5 (99.95 percent), reactive carbon (99.99 percent), NaCl(99.95 percent) and sucrose (99.94 percent). The relationship of the fabrication processing with thecomposition, crystal structure and morphology of fibers was investigated. The formation mechanismwas also proposed and discussed.展开更多
The raw materials were commercial powders of Nb2O5 (99.95%), reactive carbon (99.99%), NaCI (99.95%) and sucrose (99.94%). By the carbothermal method, the NbCx (x= 0.98)-C composite three-dimensional netted fibers wer...The raw materials were commercial powders of Nb2O5 (99.95%), reactive carbon (99.99%), NaCI (99.95%) and sucrose (99.94%). By the carbothermal method, the NbCx (x= 0.98)-C composite three-dimensional netted fibers were prepared in graphite resistance furnace in 0.1 MPa/N2 ambient atmosphere at temperature from 970 to 1 120℃. The diameters of composite three-dimensional netted fibers are 12-38 μm, the hole circumferences of netted fibers are 0.22-2.2 mm, and the hole diameters are 70-701 μm. The process conditions for fabricating NbCx-C composite three-dimensional netted fibers and related morphology, composition and crystal structure of NbCx-C composite netted fibers were investigated in detail.展开更多
Solid complexes [REL(NO3)3]n with novel (10,3)-a type three-dimensional networks structure have been assembled using rare earth nitrates and an amide type semirigid tripodal bridging ligand, 1,3,5-tris {[(2′-benzylam...Solid complexes [REL(NO3)3]n with novel (10,3)-a type three-dimensional networks structure have been assembled using rare earth nitrates and an amide type semirigid tripodal bridging ligand, 1,3,5-tris {[(2′-benzylaminoformyl)phenoxyl]methyl}benzene (L), as building blocks. The complexes were crys- tallized in the orthorhombic system with chiral space group P212121. The whole structure consists of an infinite array of trigonal RE(III) ions bridged by tridentate ligands, and a novel (10,3)-a net is formed, which is very uncommon in the rare earth complexes. At room temperature, the Sm(III), Eu(III), Tb(III), Dy(III) complexes all exhibited characteristic luminescence emissions of central metal ions under UV light excitation.展开更多
With the increase of semiconductor integration density,in order to cope with the increase of wafer defect complexity and types,especially the low recognition accuracy of overlapping mixed defects and unknown wafer def...With the increase of semiconductor integration density,in order to cope with the increase of wafer defect complexity and types,especially the low recognition accuracy of overlapping mixed defects and unknown wafer defects,this study proposes a lightweight model for wafer defect detection called LightWMNet.First,using a hierarchical attention Encoder-Decoder architecture,the features of wafer defect pattern(WDP)are channel recalibrated to generate high-resolution fine-grained features and low-resolution coarse-grained features.Secondly,the backbone network incorporates two novel attention modules—feedforward spatial attention(FFSa)and feedforward channel attention(FFCa)—to amplify responses in critical defect regions and suppress noise from stochastic discrete pixels.These mechanisms synergistically enhance feature discriminability without introducing significant parametric overhead.Finally,the Dice loss function and the cross entropy loss function are combined to jointly evaluate the segmentation and classification accuracy of the model.Experimental results on the public mixed wafer defect dataset MixedWM38 show that the pixel accuracy(PA),intersection over union(IoU)and Dice coefficient of the proposed network reach 98.26%,94.83%and 97.22%,respectively.Without significantly increasing the computational complexity and size of the model,compared with the existing state-of-the-art(SOTA)model,the classification accuracy of lightWMNet in single defect,three mixed defects and four mixed defects is improved by 0.5%,0.25%and 0.89%respectively.Furthermore,we used transfer learning for the first time to evaluate the model's generalisation ability for unseen defect categories.The results showed that LightWMNet still has a certain recognition ability even in untrained wafer defects.展开更多
A novel siphon-based divide-and-conquer(SbDaC)policy is presented in this paper for the synthesis of Petri net(PN)based liveness-enforcing supervisors(LES)for flexible manufacturing systems(FMS)prone to deadlocks or l...A novel siphon-based divide-and-conquer(SbDaC)policy is presented in this paper for the synthesis of Petri net(PN)based liveness-enforcing supervisors(LES)for flexible manufacturing systems(FMS)prone to deadlocks or livelocks.The proposed method takes an uncontrolled and bounded PN model(UPNM)of the FMS.Firstly,the reduced PNM(RPNM)is obtained from the UPNM by using PN reduction rules to reduce the computation burden.Then,the set of strict minimal siphons(SMSs)of the RPNM is computed.Next,the complementary set of SMSs is computed from the set of SMSs.By the union of these two sets,the superset of SMSs is computed.Finally,the set of subnets of the RPNM is obtained by applying the PN reduction rules to the superset of SMSs.All these subnets suffer from deadlocks.These subnets are then ordered from the smallest one to the largest one based on a criterion.To enforce liveness on these subnets,a set of control places(CPs)is computed starting from the smallest subnet to the largest one.Once all subnets are live,this process provides the LES,consisting of a set of CPs to be used for the UPNM.The live controlled PN model(CPNM)is constructed by merging the LES with the UPNM.The SbDaC policy is applicable to all classes of PNs related to FMS prone to deadlocks or livelocks.Several FMS examples are considered from the literature to highlight the applicability of the SbDaC policy.In particular,three examples are utilized to emphasize the importance,applicability and effectiveness of the SbDaC policy to realistic FMS with very large state spaces.展开更多
Monge–Ampere equations(MAEs)are fully nonlinear second-order partial differential equations(PDEs),which are closely related to various fields including optimal transport(OT)theory,geometrical optics and affine geomet...Monge–Ampere equations(MAEs)are fully nonlinear second-order partial differential equations(PDEs),which are closely related to various fields including optimal transport(OT)theory,geometrical optics and affine geometry.Despite their significance,MAEs are extremely challenging to solve.Although some classical numerical approaches can solve MAEs,their computational efficiency deteriorates significantly on fine grids,with convergence often heavily dependent on the quality of initial estimate.Research on deep learning methods for solving MAEs is still in its early stages,which predominantly addresses simple formulations with basic Dirichlet boundary conditions.Here,we propose a deep learning method based on physicsdriven deep neural networks,enabling the solution of both simple and generalised MAEs with transport boundary conditions.In this method,we deal with two first-order sub-equations separated from MAE instead of solving the single MAE directly,which facilitates the imposition of transport boundary conditions and simplifies the training of neural networks.Moreover,we constrain the convexity of solution using the Lagrange multiplier method and maintain the optimisation process differentiable with bilinear interpolation.We provide three progressively complex examples ranging from a simple MAE with an analytical solution to a highly nonlinear variant arising in phase retrieval to validate the effectiveness of our method.For comparison,we benchmark against state-of-the-art deep learning approaches that have been systematically adapted to accommodate the specific requirements of each example.展开更多
Neutrophil extracellular traps(NETs)have emerged as key mediators of cardiovascular diseases(CVDs),linking innate immune activation to vascular injury,thrombosis,and maladaptive remodeling.This review synthesizes rece...Neutrophil extracellular traps(NETs)have emerged as key mediators of cardiovascular diseases(CVDs),linking innate immune activation to vascular injury,thrombosis,and maladaptive remodeling.This review synthesizes recent insights into the molecular and cellular pathways driving NET formation,including post-translational modifications,metabolic reprogramming,inflammasome signaling,and autophagy.It highlights the role of NETs in atherosclerosis,thrombosis,myocardial ischemia-reperfusion injury,and hypertension,emphasizing common control points such as peptidylarginine deiminase 4(PAD4)-dependent histone citrullination and nicotinamide adenine dinucleotide phosphate oxidases 2(NOX2)-mediated oxidative stress.Mechanistic interpretation of circulating biomarkers,includingmyeloperoxidase(MPO)-DNA complexes,citrullinated histoneH3,and cell-free DNA,provides a translational bridge between NET biology and patient stratification.Therapeutic strategies targeting NETs are examined through three main approaches:inhibition of NET initiation,enhancement of chromatin clearance,and neutralization of toxic extracellular components,with attention to both established and emerging interventions.In contrast to previous reviews,this study highlights the novelty of a mechano-therapeutic framework by providing a mechanistic roadmap linking NET formation pathways to therapeutic targeting in cardiovascular disease.Moving forward,integrating mechanistic information with biomarker discovery,precision profiling,and targeted therapies offers innovative strategies to reduce vascular inflammation and improve outcomes in cardiovascular disease.展开更多
基金Supported by The Teaching Reform Research Project of Yantai Institute of China Agricultural University(202302Ks)Yantai Local Standard Revision Program(DB 3706/T 73-2021).
文摘This paper summarized the technical regulations for protected production of netted melon in Yantai City,primarily including technical measures such as the environmental requirements of the production area,cultivation techniques,pest and disease control,harvesting,packaging,storage,waste management,and production records for netted melon grown in facilities.The technical regulations aim to standardize the protected production of netted melon and enhance the level of standardized and normative production technology.
文摘The jamming resource allocation problem of the aircraft formation cooperatively jamming netted radar system is investigated.An adaptive allocation strategy based on dynamic adaptive discrete cuckoo search algorithm(DADCS)is proposed,whose core is to adjust allocation scheme of limited jamming resource of aircraft formation in real time to maintain the best jamming effectiveness against netted radar system.Firstly,considering the information fusion rules and different working modes of the netted radar system,a two-factor jamming effectiveness evaluation function is constructed,detection probability and aiming probability are adopted to characterize jamming effectiveness against netted radar system in searching and tracking mode,respectively.Then a nonconvex optimization model for cooperatively jamming netted radar system is established.Finally,a dynamic adaptive discrete cuckoo search algorithm(DADCS)is constructed by improving path update strategies and introducing a global learning mechanism,and a three-step solution method is proposed subsequently.Simulation results are provided to demonstrate the advantages of the proposed optimization strategy and the effectiveness of the improved algorithm.
文摘Orthogonal netted radar systems （ONRS） can fundamentally improve the radar performance by using a group of specially designed orthogonal polyphase code signals which require a very low aperiodic autocorrelation peak sidelobe level, low aperiodic cross-correlation, and a good resilience to small Doppler shifts. However, the existing numerical solutions degrade severely in the presence of small Doppler shifts. A new set of polyphase sequences is presented with good correlation properties as well as resilience to Doppler shifts. These sequences are built by using numerical optimization based on correlation properties as well as the Doppler effects on matched filter outputs, which maintains the Doppler tolerance. The statistical simulated annealing algorithm and the greedy code search method are used to optimize the sequences. Correlation and Doppler results are compared with the best-known sequences and show to be superior.
基金National Natural Science Foundation of China(Grant No.62001506)to provide fund for conducting experiments。
文摘The netted radar system(NRS)has been proved to possess unique advantages in anti-jamming and improving target tracking performance.Effective resource management can greatly ensure the combat capability of the NRS.In this paper,based on the netted collocated multiple input multiple output(CMIMO)radar,an effective joint target assignment and power allocation(JTAPA)strategy for tracking multi-targets under self-defense blanket jamming is proposed.An architecture based on the distributed fusion is used in the radar network to estimate target state parameters.By deriving the predicted conditional Cramer-Rao lower bound(PC-CRLB)based on the obtained state estimation information,the objective function is formulated.To maximize the worst case tracking accuracy,the proposed JTAPA strategy implements an online target assignment and power allocation of all active nodes,subject to some resource constraints.Since the formulated JTAPA is non-convex,we propose an efficient two-step solution strategy.In terms of the simulation results,the proposed algorithm can effectively improve tracking performance in the worst case.
基金supported by the National Defense Pre-Research Foundation of China(9140A07030713DZ02101)
文摘For a netted radar system to counteract the deceptionelectronic countermeasure （ECM） signals, an effective electroniccounter countermeasure （ECCM） approach is proposed. The proposedapproach is realized based on the new signaling strategyfor the temporal pulse diversity, which makes use of transmittingpulses at each pulse repetition interval （PRI） with specific transmissionpulse block, and then following proper processing andinformation fusion. The existence of the deceptive ECM signal isconfirmed by one station, while the other stations in the nettedradar with same parameters applied the pulse diversity skillfully.Meanwhile, this method ensured that, pulse diversity can be appliedin netted radar. The performance assessment shows that theproposed solutions are effective in presence of ECM signals. Thisalgorithm has been demonstrated by simulations. The presentedsimulation results are in excellent consensus with theoretical predictions.
基金This work was financially supported by the National Nature Science Foundation of China(No.59425007, No.59432033).
文摘Micrometer NbC_x-C three-dimensional netted fibers were synthesized by thecarbothermal method under 0.1 MPa of N_2 ambient atmosphere at a relatively low temperature. Rawmaterials were commercial powders of Nb_2O_5 (99.95 percent), reactive carbon (99.99 percent), NaCl(99.95 percent) and sucrose (99.94 percent). The relationship of the fabrication processing with thecomposition, crystal structure and morphology of fibers was investigated. The formation mechanismwas also proposed and discussed.
文摘The raw materials were commercial powders of Nb2O5 (99.95%), reactive carbon (99.99%), NaCI (99.95%) and sucrose (99.94%). By the carbothermal method, the NbCx (x= 0.98)-C composite three-dimensional netted fibers were prepared in graphite resistance furnace in 0.1 MPa/N2 ambient atmosphere at temperature from 970 to 1 120℃. The diameters of composite three-dimensional netted fibers are 12-38 μm, the hole circumferences of netted fibers are 0.22-2.2 mm, and the hole diameters are 70-701 μm. The process conditions for fabricating NbCx-C composite three-dimensional netted fibers and related morphology, composition and crystal structure of NbCx-C composite netted fibers were investigated in detail.
基金Supported by the National Natural Science Foundation of China (Grant No. 20401008)the Program for New Century Excellent Talents in University (Grant No. NCET-06-0902)the Natural Science Foundation of Gansu Province (Grant No. 3ZS061-A25-003)
文摘Solid complexes [REL(NO3)3]n with novel (10,3)-a type three-dimensional networks structure have been assembled using rare earth nitrates and an amide type semirigid tripodal bridging ligand, 1,3,5-tris {[(2′-benzylaminoformyl)phenoxyl]methyl}benzene (L), as building blocks. The complexes were crys- tallized in the orthorhombic system with chiral space group P212121. The whole structure consists of an infinite array of trigonal RE(III) ions bridged by tridentate ligands, and a novel (10,3)-a net is formed, which is very uncommon in the rare earth complexes. At room temperature, the Sm(III), Eu(III), Tb(III), Dy(III) complexes all exhibited characteristic luminescence emissions of central metal ions under UV light excitation.
基金supported by the National Natural Science Foundation of China under Grant 61573183.
文摘With the increase of semiconductor integration density,in order to cope with the increase of wafer defect complexity and types,especially the low recognition accuracy of overlapping mixed defects and unknown wafer defects,this study proposes a lightweight model for wafer defect detection called LightWMNet.First,using a hierarchical attention Encoder-Decoder architecture,the features of wafer defect pattern(WDP)are channel recalibrated to generate high-resolution fine-grained features and low-resolution coarse-grained features.Secondly,the backbone network incorporates two novel attention modules—feedforward spatial attention(FFSa)and feedforward channel attention(FFCa)—to amplify responses in critical defect regions and suppress noise from stochastic discrete pixels.These mechanisms synergistically enhance feature discriminability without introducing significant parametric overhead.Finally,the Dice loss function and the cross entropy loss function are combined to jointly evaluate the segmentation and classification accuracy of the model.Experimental results on the public mixed wafer defect dataset MixedWM38 show that the pixel accuracy(PA),intersection over union(IoU)and Dice coefficient of the proposed network reach 98.26%,94.83%and 97.22%,respectively.Without significantly increasing the computational complexity and size of the model,compared with the existing state-of-the-art(SOTA)model,the classification accuracy of lightWMNet in single defect,three mixed defects and four mixed defects is improved by 0.5%,0.25%and 0.89%respectively.Furthermore,we used transfer learning for the first time to evaluate the model's generalisation ability for unseen defect categories.The results showed that LightWMNet still has a certain recognition ability even in untrained wafer defects.
基金The authors extend their appreciation to King Saud University,Saudi Arabia for funding this work through the Ongoing Research Funding Program(ORF-2025-704),King Saud University,Riyadh,Saudi Arabia.
文摘A novel siphon-based divide-and-conquer(SbDaC)policy is presented in this paper for the synthesis of Petri net(PN)based liveness-enforcing supervisors(LES)for flexible manufacturing systems(FMS)prone to deadlocks or livelocks.The proposed method takes an uncontrolled and bounded PN model(UPNM)of the FMS.Firstly,the reduced PNM(RPNM)is obtained from the UPNM by using PN reduction rules to reduce the computation burden.Then,the set of strict minimal siphons(SMSs)of the RPNM is computed.Next,the complementary set of SMSs is computed from the set of SMSs.By the union of these two sets,the superset of SMSs is computed.Finally,the set of subnets of the RPNM is obtained by applying the PN reduction rules to the superset of SMSs.All these subnets suffer from deadlocks.These subnets are then ordered from the smallest one to the largest one based on a criterion.To enforce liveness on these subnets,a set of control places(CPs)is computed starting from the smallest subnet to the largest one.Once all subnets are live,this process provides the LES,consisting of a set of CPs to be used for the UPNM.The live controlled PN model(CPNM)is constructed by merging the LES with the UPNM.The SbDaC policy is applicable to all classes of PNs related to FMS prone to deadlocks or livelocks.Several FMS examples are considered from the literature to highlight the applicability of the SbDaC policy.In particular,three examples are utilized to emphasize the importance,applicability and effectiveness of the SbDaC policy to realistic FMS with very large state spaces.
基金supported by CAAI-Huawei MindSpore Open Fund(CAAIXSJLJJ-2022-010A).
文摘Monge–Ampere equations(MAEs)are fully nonlinear second-order partial differential equations(PDEs),which are closely related to various fields including optimal transport(OT)theory,geometrical optics and affine geometry.Despite their significance,MAEs are extremely challenging to solve.Although some classical numerical approaches can solve MAEs,their computational efficiency deteriorates significantly on fine grids,with convergence often heavily dependent on the quality of initial estimate.Research on deep learning methods for solving MAEs is still in its early stages,which predominantly addresses simple formulations with basic Dirichlet boundary conditions.Here,we propose a deep learning method based on physicsdriven deep neural networks,enabling the solution of both simple and generalised MAEs with transport boundary conditions.In this method,we deal with two first-order sub-equations separated from MAE instead of solving the single MAE directly,which facilitates the imposition of transport boundary conditions and simplifies the training of neural networks.Moreover,we constrain the convexity of solution using the Lagrange multiplier method and maintain the optimisation process differentiable with bilinear interpolation.We provide three progressively complex examples ranging from a simple MAE with an analytical solution to a highly nonlinear variant arising in phase retrieval to validate the effectiveness of our method.For comparison,we benchmark against state-of-the-art deep learning approaches that have been systematically adapted to accommodate the specific requirements of each example.
文摘Neutrophil extracellular traps(NETs)have emerged as key mediators of cardiovascular diseases(CVDs),linking innate immune activation to vascular injury,thrombosis,and maladaptive remodeling.This review synthesizes recent insights into the molecular and cellular pathways driving NET formation,including post-translational modifications,metabolic reprogramming,inflammasome signaling,and autophagy.It highlights the role of NETs in atherosclerosis,thrombosis,myocardial ischemia-reperfusion injury,and hypertension,emphasizing common control points such as peptidylarginine deiminase 4(PAD4)-dependent histone citrullination and nicotinamide adenine dinucleotide phosphate oxidases 2(NOX2)-mediated oxidative stress.Mechanistic interpretation of circulating biomarkers,includingmyeloperoxidase(MPO)-DNA complexes,citrullinated histoneH3,and cell-free DNA,provides a translational bridge between NET biology and patient stratification.Therapeutic strategies targeting NETs are examined through three main approaches:inhibition of NET initiation,enhancement of chromatin clearance,and neutralization of toxic extracellular components,with attention to both established and emerging interventions.In contrast to previous reviews,this study highlights the novelty of a mechano-therapeutic framework by providing a mechanistic roadmap linking NET formation pathways to therapeutic targeting in cardiovascular disease.Moving forward,integrating mechanistic information with biomarker discovery,precision profiling,and targeted therapies offers innovative strategies to reduce vascular inflammation and improve outcomes in cardiovascular disease.
