Microneedles(MNs)have been extensively investigated for transdermal delivery of large-sized drugs,including proteins,nucleic acids,and even extracellular vesicles(EVs).However,for their sufficient skin penetration,con...Microneedles(MNs)have been extensively investigated for transdermal delivery of large-sized drugs,including proteins,nucleic acids,and even extracellular vesicles(EVs).However,for their sufficient skin penetration,conventional MNs employ long needles(≥600μm),leading to pain and skin irritation.Moreover,it is critical to stably apply MNs against complex skin surfaces for uniform nanoscale drug delivery.Herein,a dually amplified transdermal patch(MN@EV/SC)is developed as the stem cell-derived EV delivery platform by hierarchically integrating an octopusinspired suction cup(SC)with short MNs(≤300μm).While leveraging the suction effect to induce nanoscale deformation of the stratum corneum,MN@EV/SC minimizes skin damage and enhances the adhesion of MNs,allowing EV to penetrate deeper into the dermis.When MNs of various lengths are applied to mouse skin,the short MNs can elicit comparable corticosterone release to chemical adhesives,whereas long MNs induce a prompt stress response.MN@EV/SC can achieve a remarkable penetration depth(290μm)for EV,compared to that of MN alone(111μm).Consequently,MN@EV/SC facilitates the revitalization of fibroblasts and enhances collagen synthesis in middle-aged mice.Overall,MN@EV/SC exhibits the potential for skin regeneration by modulating the dermal microenvironment and ensuring patient comfort.展开更多
Using abundant saline water for electrolysis,rather than limited freshwater,presents a promising technique for generating clean hydrogen energy.However,high concentration of corrosive chloride ions in saline water pos...Using abundant saline water for electrolysis,rather than limited freshwater,presents a promising technique for generating clean hydrogen energy.However,high concentration of corrosive chloride ions in saline water poses a great challenge in the stability of anode.In this study,we present a straightforward strategy to protect the anode from corrosion by patching the catalyst layer through a treatment of the anode with a sodium sulfide(Na2S) solution followed by electrochemical activation.The rapid sulfurization of the Ni electrode in Na2S results in the formation of a Na2S layer,which can subsequently be converted to NiOOH upon electrochemical activation,thereby shielding the inner Ni electrode from corrosion.The as-prepared electrode (P-NiFe-LDH/Ni) based on the strategy demonstrated stability over 3,500 h at an industrial current density of 0.5 A cm^(-2)in a 0.5 M NaCl and 1 M KOH solution.This study presents an effective strategy to significantly enhance the stability of anodes for saline water electrolysis by effectively patching the cracks in the catalyst layer.展开更多
Due to the limited regeneration capacity of myocardial tissue after infarction,designing tissue engineering scaffolds are in demand.In the present study,electrospun nanofibrous scaffolds were made out of polyurethane,...Due to the limited regeneration capacity of myocardial tissue after infarction,designing tissue engineering scaffolds are in demand.In the present study,electrospun nanofibrous scaffolds were made out of polyurethane,collagen and gold nanoparticles with random and aligned nanofiber morphologies.The nanoparticles were green-synthesized using saffron extract.Nanoparticle characterizations with UV-Vis.spectroscopy and DLS illustrated theoretical and hydrodynamic diameters of around 7 and 13 nm,respectively,having zeta potential of−37 mV.SEM and TEM micrographs showed the morphology and diameters of obtained nanofibers.Also,further characterization were done by ATR-FTIR,XRD and TGA investigations and degradation studies.Contact angle measurements showed hydrophilic nature of the scaffolds(59±0.6°for aligned PU/Col/Au50 nanofibers compared to 120±2.6°for random PU nanofibers).Mechanical testing demonstrated appropriate tensile properties of the scaffolds for cardiac tissue engineering(Young’s modulus:1.53±0.07 MPa for aligned PU/Col/Au50 nanofibers compared to 0.4±0.05 MPa for random PU nanofibers).Finally,alamar blue assay revealed proper survival of the cells of HUVEC cell line on the prepared scaffolds,where the highest percentages were observed for random and aligned PU/Col/Au50 nanofibers.According to the findings,the fabricated PU/Col/AuNPs nanofibrous scaffolds could be considered as potential cardiac patches.展开更多
Since the introduction of vision Transformers into the computer vision field,many vision tasks such as semantic segmentation tasks,have undergone radical changes.Although Transformer enhances the correlation of each l...Since the introduction of vision Transformers into the computer vision field,many vision tasks such as semantic segmentation tasks,have undergone radical changes.Although Transformer enhances the correlation of each local feature of an image object in the hidden space through the attention mechanism,it is difficult for a segmentation head to accomplish the mask prediction for dense embedding of multi-category and multi-local features.We present patch prototype vision Transformer(PPFormer),a Transformer architecture for semantic segmentation based on knowledge-embedded patch prototypes.1)The hierarchical Transformer encoder can generate multi-scale and multi-layered patch features including seamless patch projection to obtain information of multiscale patches,and feature-clustered self-attention to enhance the interplay of multi-layered visual information with implicit position encodes.2)PPFormer utilizes a non-parametric prototype decoder to extract region observations which represent significant parts of the objects by unlearnable patch prototypes and then calculate similarity between patch prototypes and pixel embeddings.The proposed contrasting patch prototype alignment module,which uses new patch prototypes to update prototype bank,effectively maintains class boundaries for prototypes.For different application scenarios,we have launched PPFormer-S,PPFormer-M and PPFormer-L by expanding the scale.Experimental results demonstrate that PPFormer can outperform fully convolutional networks(FCN)-and attention-based semantic segmentation models on the PASCAL VOC 2012,ADE20k,and Cityscapes datasets.展开更多
Software systems are vulnerable to security breaches as they expand in complexity and functionality.The confidentiality,integrity,and availability of data are gravely threatened by flaws in a system’s design,implemen...Software systems are vulnerable to security breaches as they expand in complexity and functionality.The confidentiality,integrity,and availability of data are gravely threatened by flaws in a system’s design,implementation,or configuration.To guarantee the durability&robustness of the software,vulnerability identification and fixation have become crucial areas of focus for developers,cybersecurity experts and industries.This paper presents a thorough multi-phase mathematical model for efficient patch management and vulnerability detection.To uniquely model these processes,the model incorporated the notion of the learning phenomenon in describing vulnerability fixation using a logistic learning function.Furthermore,the authors have used numerical methods to approximate the solution of the proposed framework where an analytical solution is difficult to attain.The suggested systematic architecture has been demonstrated through statistical analysis using patch datasets,which offers a solid basis for the research conclusions.According to computational research,learning dynamics improves security response and results in more effective vulnerability management.The suggested model offers a systematic approach to proactive vulnerability mitigation and has important uses in risk assessment,software maintenance,and cybersecurity.This study helps create more robust software systems by increasing patch management effectiveness,which benefits developers,cybersecurity experts,and sectors looking to reduce security threats in a growing digital world.展开更多
Myocardial infarction(MI)is a challenging condition that results in scar formation on the ventricular wall,causing myocardial damage and ventricular thinning.Engineered cardiac patches(ECPs)designed to regenerate myoc...Myocardial infarction(MI)is a challenging condition that results in scar formation on the ventricular wall,causing myocardial damage and ventricular thinning.Engineered cardiac patches(ECPs)designed to regenerate myocardial tissue have been proposed to repair the ventricular wall and replenish myocardial cells.However,their clinical use is limited by manufacturing and fixation challenges.This study introduces a manufacturing strategy for a composite ECP,which comprises an antiadhesion shell layer,a conductive myocardial tissue,and an exosome-laden microneedle substrate.The ECP can anchor to the infarcted myocardium through its microneedle substrate.Meanwhile,its outer shell prevents nonspecific adhesion,enabling stable and suture-free attachment.Using this microneedle substrate,we applied a 3D-printed ECP in a rat model of post-MI repair.Our results showed that this strategy reduced left ventricular damage,improved cardiac ejection fraction,decreased the fibrotic area,increased ventricular wall thickness,improved microvascular recovery,and thus facilitated the repair of maladaptive ventricular remodeling post-MI.This microneedle substrate holds great promise for use in the fixation of patches during the repair of myocardial tissue and other organs,thereby promoting the clinical application of tissue-engineered patches.展开更多
Adhesive patches offer an effective approach for wound closure,making them highly suitable for biomedical applications.However,conventional patches often face limitations such as dual-sided adhesion,lack of shape adap...Adhesive patches offer an effective approach for wound closure,making them highly suitable for biomedical applications.However,conventional patches often face limitations such as dual-sided adhesion,lack of shape adaptability,and limited maneuverability,which restrict their applications in deeper tissues.In this paper,we develop a magnetic patch robot(PatchBot),for targeted Janus adhesion with tissues.The PatchBot features a unique triple-layer structure,with adhesive,shape-morphing,and anti-adhesive layers,each fulfilling roles to support targeted attachment,enable shape transformation,and prevent unwanted adhesion to surrounding tissues.The Janus adhesion of the PatchBot was extensively demonstrated across a variety of tissues.A localized near-infrared(NIR)laser irradiation was used to induce programmable shape transformations.Magnetic actuation of the PatchBot for targeted adhesion was successfully demonstrated in ex vivo porcine stomach tissue.NIR light-activated shape-morphing and multimodal magnetic actuation significantly enhance its maneuverability and adaptability in confined in vivo environments while ensuring the structural integrity of the adhesive surface during deployment.This proof-of-concept study demonstrates the feasibility of using PatchBot for targeted wound adhesion,showing its potential for minimally invasive,precision therapies in complex in vivo environments.展开更多
This paper is a statistical survey of Southern Hemisphere cold and hot polar cap patches,in relation to the interplanetary magnetic field(IMF)and ionospheric convection geometry.A total of 11,946 patch events were ide...This paper is a statistical survey of Southern Hemisphere cold and hot polar cap patches,in relation to the interplanetary magnetic field(IMF)and ionospheric convection geometry.A total of 11,946 patch events were identified by Defense Meteorological Satellite Program(DMSP)F16 during the years 2011 to 2022.A temperature ratio of ion/electron temperature(T_(i)/T_(e))<0.68 is recommended to define a hot patch in the Southern Hemisphere,otherwise it is defined as a cold patch.The cold and hot patches have different dependencies on IMF clock angle,while their dependencies on IMF cone angle are similar.Both cold and hot patches appear most often on the duskside,and the distribution of cold patches gradually decreases from the dayside to the nightside,while hot patches have a higher occurrence rate near 14 and 21 magnetic local time(MLT).Moreover,we compared the key plasma characteristics of polar cap cold and hot patches in the Southern and Northern Hemispheres.The intensity of the duskside upward field-aligned current of patches in the Southern Hemisphere(SH)is stronger than that in the Northern Hemisphere(SH),which may be due to the discrepancy in conductivities between the two hemispheres,caused by the tilted dipole.In both hemispheres,the downward soft-electron energy flux of the dawnside patches is significantly greater than that of the duskside patches.展开更多
Objective:To evaluate the intervention effect of childlike nursing combined with Chinese herbal patching on pediatric bronchopneumonia.Methods:1036 children with bronchopneumonia(one family member included for each ch...Objective:To evaluate the intervention effect of childlike nursing combined with Chinese herbal patching on pediatric bronchopneumonia.Methods:1036 children with bronchopneumonia(one family member included for each child)who were admitted to the hospital between January 2024 and June 2024 were selected and randomly divided into two groups using a random number table.The combined group received childlike nursing combined with Chinese herbal patching,while the control group received routine nursing.Symptom recovery time,treatment compliance,inflammatory factor levels,quality of life of the children,and family satisfaction were compared between the two groups.Results:The symptom recovery time in the combined group was shorter than that in the control group,treatment compliance was higher,inflammatory factor levels after intervention were lower,quality of life scores of the children were lower,and family satisfaction was higher(P<0.05).Conclusion:The implementation of childlike nursing combined with Chinese herbal patching for children with bronchopneumonia can shorten their symptom recovery time,significantly improve treatment compliance and quality of life,reduce inflammatory reactions,and achieve high satisfaction among family members.展开更多
Microneedle(MN)patches could be a promising treatment for diabetic foot ulcers that plague thousands of people worldwide.While reducing skin resistance or increasing driving force can accelerate the efficiency of tran...Microneedle(MN)patches could be a promising treatment for diabetic foot ulcers that plague thousands of people worldwide.While reducing skin resistance or increasing driving force can accelerate the efficiency of transdermal drug delivery with conventional MN patches,it can create toxic chemical residues or require the help of additional devices.Herein,a thermo-responsive microneedles patch(TMN)with high biocompatibility without additional equipment is proposed.The TMN consisted of a bilayer microneedles composed of sodium alginate(SA)-g-poly(N-isopropylacrylamide)layer(SA-g-PNIPAM)loaded with sucrose octasulfate sodium salt(SOS)and hyaluronic acid layer and a polycaprolactone/chitosan nanofiber membrane loading with tetracycline hydrochloride(TH)and SOS.PNIPAM accelerates drug release by extruding the drug through a volumetric phase transition in response to temperature changes,and TH and SOS promote wound healing by inhibiting bacterial growth and promoting vascular regeneration and epithelial formation.The results showed that the drug release of TMN was significantly faster,with the drug release rate of more than 80% in the 10th h,and the antibacterial rate of TMN could reach 800%.In addition,TMN had good biocompatibility and good healing effects in vivo,which may be helpful for the design of multifunctional dressings in the future.展开更多
To cater the need for real-time crack monitoring of infrastructural facilities,a CNN-regression model is proposed to directly estimate the crack properties from patches.RGB crack images and their corresponding masks o...To cater the need for real-time crack monitoring of infrastructural facilities,a CNN-regression model is proposed to directly estimate the crack properties from patches.RGB crack images and their corresponding masks obtained from a public dataset are cropped into patches of 256 square pixels that are classified with a pre-trained deep convolution neural network,the true positives are segmented,and crack properties are extracted using two different methods.The first method is primarily based on active contour models and level-set segmentation and the second method consists of the domain adaptation of a mathematical morphology-based method known as FIL-FINDER.A statistical test has been performed for the comparison of the stated methods and a database prepared with the more suitable method.An advanced convolution neural network-based multi-output regression model has been proposed which was trained with the prepared database and validated with the held-out dataset for the prediction of crack-length,crack-width,and width-uncertainty directly from input image patches.The pro-posed model has been tested on crack patches collected from different locations.Huber loss has been used to ensure the robustness of the proposed model selected from a set of 288 different variations of it.Additionally,an ablation study has been conducted on the top 3 models that demonstrated the influence of each network component on the pre-diction results.Finally,the best performing model HHc-X among the top 3 has been proposed that predicted crack properties which are in close agreement to the ground truths in the test data.展开更多
For the truss structure composed of active-elements with piezoelectric patches affixed to its surface,taking the mechani-cal-electric coupling effect under the action of electric loads and mechanical loads into consid...For the truss structure composed of active-elements with piezoelectric patches affixed to its surface,taking the mechani-cal-electric coupling effect under the action of electric loads and mechanical loads into consideration,the finite element model for static force analysis is established by using the theory of mechanics. The failure mechanism of piezoelectric elements is discussed and the failure criteria of piezoelectric elements are proposed. The expression of safety margins for the element of piezoelec...展开更多
基金supported by National Research Foundation of Korea(NRF)grants funded by the Korean government(MSIT)(No.RS-2023-00256265,RS-2024-00352352,RS-2024-00405818)the Korean Fund for Regenerative Medicine(KFRM)grant funded by the Korea government(the Ministry of Science and ICT,the Ministry of Health&Welfare).(No.25A0102L1)support from the Market-led K-sensor technology program(RS-2022-00154781,Development of large-area wafer-level flexible/stretchable hybrid sensor platform technology for form factor-free highly integrated convergence sensor),funded By the Ministry of Trade,Industry&Energy(MOTIE,Korea).
文摘Microneedles(MNs)have been extensively investigated for transdermal delivery of large-sized drugs,including proteins,nucleic acids,and even extracellular vesicles(EVs).However,for their sufficient skin penetration,conventional MNs employ long needles(≥600μm),leading to pain and skin irritation.Moreover,it is critical to stably apply MNs against complex skin surfaces for uniform nanoscale drug delivery.Herein,a dually amplified transdermal patch(MN@EV/SC)is developed as the stem cell-derived EV delivery platform by hierarchically integrating an octopusinspired suction cup(SC)with short MNs(≤300μm).While leveraging the suction effect to induce nanoscale deformation of the stratum corneum,MN@EV/SC minimizes skin damage and enhances the adhesion of MNs,allowing EV to penetrate deeper into the dermis.When MNs of various lengths are applied to mouse skin,the short MNs can elicit comparable corticosterone release to chemical adhesives,whereas long MNs induce a prompt stress response.MN@EV/SC can achieve a remarkable penetration depth(290μm)for EV,compared to that of MN alone(111μm).Consequently,MN@EV/SC facilitates the revitalization of fibroblasts and enhances collagen synthesis in middle-aged mice.Overall,MN@EV/SC exhibits the potential for skin regeneration by modulating the dermal microenvironment and ensuring patient comfort.
基金financially supported by the National Key Research and Development Program(No.2023YFB4006100)the National Natural Science Foundation of China(No.52271232)+3 种基金Ningbo Youth Science and Technology Leading Talents Project(No.2023QL026)the Youth Innovation Promotion Association,CAS(No.2020300)the Natural Science Foundation of Zhejiang Province(Nos.LY21E020008 and LD21E020001)the“From 0 to 1”Innovative Program of CAS(No.ZDBS-LY-JSC021)
文摘Using abundant saline water for electrolysis,rather than limited freshwater,presents a promising technique for generating clean hydrogen energy.However,high concentration of corrosive chloride ions in saline water poses a great challenge in the stability of anode.In this study,we present a straightforward strategy to protect the anode from corrosion by patching the catalyst layer through a treatment of the anode with a sodium sulfide(Na2S) solution followed by electrochemical activation.The rapid sulfurization of the Ni electrode in Na2S results in the formation of a Na2S layer,which can subsequently be converted to NiOOH upon electrochemical activation,thereby shielding the inner Ni electrode from corrosion.The as-prepared electrode (P-NiFe-LDH/Ni) based on the strategy demonstrated stability over 3,500 h at an industrial current density of 0.5 A cm^(-2)in a 0.5 M NaCl and 1 M KOH solution.This study presents an effective strategy to significantly enhance the stability of anodes for saline water electrolysis by effectively patching the cracks in the catalyst layer.
基金supported by Shiraz University of Medical Sciences,Shiraz,Iran(grant No.:17780).
文摘Due to the limited regeneration capacity of myocardial tissue after infarction,designing tissue engineering scaffolds are in demand.In the present study,electrospun nanofibrous scaffolds were made out of polyurethane,collagen and gold nanoparticles with random and aligned nanofiber morphologies.The nanoparticles were green-synthesized using saffron extract.Nanoparticle characterizations with UV-Vis.spectroscopy and DLS illustrated theoretical and hydrodynamic diameters of around 7 and 13 nm,respectively,having zeta potential of−37 mV.SEM and TEM micrographs showed the morphology and diameters of obtained nanofibers.Also,further characterization were done by ATR-FTIR,XRD and TGA investigations and degradation studies.Contact angle measurements showed hydrophilic nature of the scaffolds(59±0.6°for aligned PU/Col/Au50 nanofibers compared to 120±2.6°for random PU nanofibers).Mechanical testing demonstrated appropriate tensile properties of the scaffolds for cardiac tissue engineering(Young’s modulus:1.53±0.07 MPa for aligned PU/Col/Au50 nanofibers compared to 0.4±0.05 MPa for random PU nanofibers).Finally,alamar blue assay revealed proper survival of the cells of HUVEC cell line on the prepared scaffolds,where the highest percentages were observed for random and aligned PU/Col/Au50 nanofibers.According to the findings,the fabricated PU/Col/AuNPs nanofibrous scaffolds could be considered as potential cardiac patches.
基金supported in part by the Gansu Haizhi Characteristic Demonstration Project(No.GSHZTS2022-2).
文摘Since the introduction of vision Transformers into the computer vision field,many vision tasks such as semantic segmentation tasks,have undergone radical changes.Although Transformer enhances the correlation of each local feature of an image object in the hidden space through the attention mechanism,it is difficult for a segmentation head to accomplish the mask prediction for dense embedding of multi-category and multi-local features.We present patch prototype vision Transformer(PPFormer),a Transformer architecture for semantic segmentation based on knowledge-embedded patch prototypes.1)The hierarchical Transformer encoder can generate multi-scale and multi-layered patch features including seamless patch projection to obtain information of multiscale patches,and feature-clustered self-attention to enhance the interplay of multi-layered visual information with implicit position encodes.2)PPFormer utilizes a non-parametric prototype decoder to extract region observations which represent significant parts of the objects by unlearnable patch prototypes and then calculate similarity between patch prototypes and pixel embeddings.The proposed contrasting patch prototype alignment module,which uses new patch prototypes to update prototype bank,effectively maintains class boundaries for prototypes.For different application scenarios,we have launched PPFormer-S,PPFormer-M and PPFormer-L by expanding the scale.Experimental results demonstrate that PPFormer can outperform fully convolutional networks(FCN)-and attention-based semantic segmentation models on the PASCAL VOC 2012,ADE20k,and Cityscapes datasets.
基金supported by grants received by the first author and third author from the Institute of Eminence,Delhi University,Delhi,India,as part of the Faculty Research Program via Ref.No./IoE/2024-25/12/FRP.
文摘Software systems are vulnerable to security breaches as they expand in complexity and functionality.The confidentiality,integrity,and availability of data are gravely threatened by flaws in a system’s design,implementation,or configuration.To guarantee the durability&robustness of the software,vulnerability identification and fixation have become crucial areas of focus for developers,cybersecurity experts and industries.This paper presents a thorough multi-phase mathematical model for efficient patch management and vulnerability detection.To uniquely model these processes,the model incorporated the notion of the learning phenomenon in describing vulnerability fixation using a logistic learning function.Furthermore,the authors have used numerical methods to approximate the solution of the proposed framework where an analytical solution is difficult to attain.The suggested systematic architecture has been demonstrated through statistical analysis using patch datasets,which offers a solid basis for the research conclusions.According to computational research,learning dynamics improves security response and results in more effective vulnerability management.The suggested model offers a systematic approach to proactive vulnerability mitigation and has important uses in risk assessment,software maintenance,and cybersecurity.This study helps create more robust software systems by increasing patch management effectiveness,which benefits developers,cybersecurity experts,and sectors looking to reduce security threats in a growing digital world.
基金supported by the Beijing Natural Science Foundation(Nos.7252285 and L246001)the National Natural Science Foundation of China(Nos.U21A20394 and 52305314)the National Key Research and Development Program of China(No.2023YFB4605800).
文摘Myocardial infarction(MI)is a challenging condition that results in scar formation on the ventricular wall,causing myocardial damage and ventricular thinning.Engineered cardiac patches(ECPs)designed to regenerate myocardial tissue have been proposed to repair the ventricular wall and replenish myocardial cells.However,their clinical use is limited by manufacturing and fixation challenges.This study introduces a manufacturing strategy for a composite ECP,which comprises an antiadhesion shell layer,a conductive myocardial tissue,and an exosome-laden microneedle substrate.The ECP can anchor to the infarcted myocardium through its microneedle substrate.Meanwhile,its outer shell prevents nonspecific adhesion,enabling stable and suture-free attachment.Using this microneedle substrate,we applied a 3D-printed ECP in a rat model of post-MI repair.Our results showed that this strategy reduced left ventricular damage,improved cardiac ejection fraction,decreased the fibrotic area,increased ventricular wall thickness,improved microvascular recovery,and thus facilitated the repair of maladaptive ventricular remodeling post-MI.This microneedle substrate holds great promise for use in the fixation of patches during the repair of myocardial tissue and other organs,thereby promoting the clinical application of tissue-engineered patches.
基金supported by the National Key Technologies R&D Program of China(Grant No.2023YFC2415900)the National Natural Science Foundation of China(Grant Nos.62373182 and 52405619)+2 种基金the China Postdoctoral Science Foundation(Grant No.2024M751300)supported by the Shenzhen Science and Technology Program(Grant No.JCYJ20241202125417024)Guangdong Basic and Applied Basic Research Foundation(Grant No.2024A1515011915).
文摘Adhesive patches offer an effective approach for wound closure,making them highly suitable for biomedical applications.However,conventional patches often face limitations such as dual-sided adhesion,lack of shape adaptability,and limited maneuverability,which restrict their applications in deeper tissues.In this paper,we develop a magnetic patch robot(PatchBot),for targeted Janus adhesion with tissues.The PatchBot features a unique triple-layer structure,with adhesive,shape-morphing,and anti-adhesive layers,each fulfilling roles to support targeted attachment,enable shape transformation,and prevent unwanted adhesion to surrounding tissues.The Janus adhesion of the PatchBot was extensively demonstrated across a variety of tissues.A localized near-infrared(NIR)laser irradiation was used to induce programmable shape transformations.Magnetic actuation of the PatchBot for targeted adhesion was successfully demonstrated in ex vivo porcine stomach tissue.NIR light-activated shape-morphing and multimodal magnetic actuation significantly enhance its maneuverability and adaptability in confined in vivo environments while ensuring the structural integrity of the adhesive surface during deployment.This proof-of-concept study demonstrates the feasibility of using PatchBot for targeted wound adhesion,showing its potential for minimally invasive,precision therapies in complex in vivo environments.
基金supported by the National Natural Science Foundation of China(Grants 42325404,42120104003,42204164,42474219 and U22A2006)the Chinese Meridian Project,the International Partnership Program of Chinese Academy of Sciences(Grant 183311KYSB20200003)+7 种基金Shandong Provincial Natural Science Foundation(Grants ZR2022QD077,ZR2022MD034)the Stable-Support Scientific Project of China Research Institute of Radiowave Propagation(Grant A132312191)the foundation of the National Key Laboratory of Electromagnetic Environment(Grant 6142403180204)the Chongqing Natural Science Foundation(Grants cstc2021ycjh-bgzxm0072,CSTB2023NSCQ-LZX0082)National Program on Key Basic Research Project(Grant 2022173-SD-1)The work in Norway is supported by the Research Council of Norway Grant 326039Work at UCLA has been supported by NSF grant AGS-2055192This research was supported by the International Space Science Institute(ISSI)in Bern and Beijing,through ISSI International Team project#511(Multi-Scale Magnetosphere-Ionosphere-Thermosphere Interaction).
文摘This paper is a statistical survey of Southern Hemisphere cold and hot polar cap patches,in relation to the interplanetary magnetic field(IMF)and ionospheric convection geometry.A total of 11,946 patch events were identified by Defense Meteorological Satellite Program(DMSP)F16 during the years 2011 to 2022.A temperature ratio of ion/electron temperature(T_(i)/T_(e))<0.68 is recommended to define a hot patch in the Southern Hemisphere,otherwise it is defined as a cold patch.The cold and hot patches have different dependencies on IMF clock angle,while their dependencies on IMF cone angle are similar.Both cold and hot patches appear most often on the duskside,and the distribution of cold patches gradually decreases from the dayside to the nightside,while hot patches have a higher occurrence rate near 14 and 21 magnetic local time(MLT).Moreover,we compared the key plasma characteristics of polar cap cold and hot patches in the Southern and Northern Hemispheres.The intensity of the duskside upward field-aligned current of patches in the Southern Hemisphere(SH)is stronger than that in the Northern Hemisphere(SH),which may be due to the discrepancy in conductivities between the two hemispheres,caused by the tilted dipole.In both hemispheres,the downward soft-electron energy flux of the dawnside patches is significantly greater than that of the duskside patches.
文摘Objective:To evaluate the intervention effect of childlike nursing combined with Chinese herbal patching on pediatric bronchopneumonia.Methods:1036 children with bronchopneumonia(one family member included for each child)who were admitted to the hospital between January 2024 and June 2024 were selected and randomly divided into two groups using a random number table.The combined group received childlike nursing combined with Chinese herbal patching,while the control group received routine nursing.Symptom recovery time,treatment compliance,inflammatory factor levels,quality of life of the children,and family satisfaction were compared between the two groups.Results:The symptom recovery time in the combined group was shorter than that in the control group,treatment compliance was higher,inflammatory factor levels after intervention were lower,quality of life scores of the children were lower,and family satisfaction was higher(P<0.05).Conclusion:The implementation of childlike nursing combined with Chinese herbal patching for children with bronchopneumonia can shorten their symptom recovery time,significantly improve treatment compliance and quality of life,reduce inflammatory reactions,and achieve high satisfaction among family members.
基金supported by the Joint Funds of National Natural Science Foundation of China(No.U22A20162)the Natural Science Foundation of Hebei Province of China(No.C2021202002)+1 种基金the National Natural Science Foundation of China(No.52271245),the Natural Science Foundation of Tianjin(No.21JCQNJC01280)the financial support from the Danish Council for Independent Research(9040-00219B),European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement ENSIGN(Project ID:101086226),L4DNANO(Project ID:101086227).
文摘Microneedle(MN)patches could be a promising treatment for diabetic foot ulcers that plague thousands of people worldwide.While reducing skin resistance or increasing driving force can accelerate the efficiency of transdermal drug delivery with conventional MN patches,it can create toxic chemical residues or require the help of additional devices.Herein,a thermo-responsive microneedles patch(TMN)with high biocompatibility without additional equipment is proposed.The TMN consisted of a bilayer microneedles composed of sodium alginate(SA)-g-poly(N-isopropylacrylamide)layer(SA-g-PNIPAM)loaded with sucrose octasulfate sodium salt(SOS)and hyaluronic acid layer and a polycaprolactone/chitosan nanofiber membrane loading with tetracycline hydrochloride(TH)and SOS.PNIPAM accelerates drug release by extruding the drug through a volumetric phase transition in response to temperature changes,and TH and SOS promote wound healing by inhibiting bacterial growth and promoting vascular regeneration and epithelial formation.The results showed that the drug release of TMN was significantly faster,with the drug release rate of more than 80% in the 10th h,and the antibacterial rate of TMN could reach 800%.In addition,TMN had good biocompatibility and good healing effects in vivo,which may be helpful for the design of multifunctional dressings in the future.
文摘To cater the need for real-time crack monitoring of infrastructural facilities,a CNN-regression model is proposed to directly estimate the crack properties from patches.RGB crack images and their corresponding masks obtained from a public dataset are cropped into patches of 256 square pixels that are classified with a pre-trained deep convolution neural network,the true positives are segmented,and crack properties are extracted using two different methods.The first method is primarily based on active contour models and level-set segmentation and the second method consists of the domain adaptation of a mathematical morphology-based method known as FIL-FINDER.A statistical test has been performed for the comparison of the stated methods and a database prepared with the more suitable method.An advanced convolution neural network-based multi-output regression model has been proposed which was trained with the prepared database and validated with the held-out dataset for the prediction of crack-length,crack-width,and width-uncertainty directly from input image patches.The pro-posed model has been tested on crack patches collected from different locations.Huber loss has been used to ensure the robustness of the proposed model selected from a set of 288 different variations of it.Additionally,an ablation study has been conducted on the top 3 models that demonstrated the influence of each network component on the pre-diction results.Finally,the best performing model HHc-X among the top 3 has been proposed that predicted crack properties which are in close agreement to the ground truths in the test data.
基金National Defense Basic Foundation (Z192002A001)National Defense Monograph Foundation
文摘For the truss structure composed of active-elements with piezoelectric patches affixed to its surface,taking the mechani-cal-electric coupling effect under the action of electric loads and mechanical loads into consideration,the finite element model for static force analysis is established by using the theory of mechanics. The failure mechanism of piezoelectric elements is discussed and the failure criteria of piezoelectric elements are proposed. The expression of safety margins for the element of piezoelec...
