Over the past several decades,the integration of IONs into EP emerged as an effective method for enhancing its mechanical properties.Nevertheless,challenges remain,especially with u-IONs,where the interfacial strength...Over the past several decades,the integration of IONs into EP emerged as an effective method for enhancing its mechanical properties.Nevertheless,challenges remain,especially with u-IONs,where the interfacial strength with EP is suboptimal,resulting in aggregation within the EP matrix and a subsequent deterioration in the mechanical performance of u-ION/EP nanocomposites.In this comprehensive review,we explored advanced chemical modification techniques tailored for IONs incorporated into EP,providing a detailed examination of the mechanical characteristics of surface cm-ION/EP nanocomposites.This review investigates various chemical modification methods and their distinct impacts on the mechanical attributes of the resulting EP nanocomposites.Special emphasis is given to addressing the persistent challenges of inadequate interfacial strength and aggregation.Furthermore,this article examines prospective surface modification approaches for inorganic oxide nanoparticles,offering a visionary outlook on methods to improve the mechanical performance of EP in future.展开更多
Neural machine interface technology is a pioneering approach that aims to address the complex challenges of neurological dysfunctions and disabilities resulting from conditions such as congenital disorders,traumatic i...Neural machine interface technology is a pioneering approach that aims to address the complex challenges of neurological dysfunctions and disabilities resulting from conditions such as congenital disorders,traumatic injuries,and neurological diseases.Neural machine interface technology establishes direct connections with the brain or peripheral nervous system to restore impaired motor,sensory,and cognitive functions,significantly improving patients'quality of life.This review analyzes the chronological development and integration of various neural machine interface technologies,including regenerative peripheral nerve interfaces,targeted muscle and sensory reinnervation,agonist–antagonist myoneural interfaces,and brain–machine interfaces.Recent advancements in flexible electronics and bioengineering have led to the development of more biocompatible and highresolution electrodes,which enhance the performance and longevity of neural machine interface technology.However,significant challenges remain,such as signal interference,fibrous tissue encapsulation,and the need for precise anatomical localization and reconstruction.The integration of advanced signal processing algorithms,particularly those utilizing artificial intelligence and machine learning,has the potential to improve the accuracy and reliability of neural signal interpretation,which will make neural machine interface technologies more intuitive and effective.These technologies have broad,impactful clinical applications,ranging from motor restoration and sensory feedback in prosthetics to neurological disorder treatment and neurorehabilitation.This review suggests that multidisciplinary collaboration will play a critical role in advancing neural machine interface technologies by combining insights from biomedical engineering,clinical surgery,and neuroengineering to develop more sophisticated and reliable interfaces.By addressing existing limitations and exploring new technological frontiers,neural machine interface technologies have the potential to revolutionize neuroprosthetics and neurorehabilitation,promising enhanced mobility,independence,and quality of life for individuals with neurological impairments.By leveraging detailed anatomical knowledge and integrating cutting-edge neuroengineering principles,researchers and clinicians can push the boundaries of what is possible and create increasingly sophisticated and long-lasting prosthetic devices that provide sustained benefits for users.展开更多
The rapid expansion of lithium-ion batteries in electric vehicles and grid-scale energy storage intensify the demand for sustainable recycling strategies.Traditional metallurgical recycling methods face significant ch...The rapid expansion of lithium-ion batteries in electric vehicles and grid-scale energy storage intensify the demand for sustainable recycling strategies.Traditional metallurgical recycling methods face significant challenges,including high energy consumption,environmental pollution,and inefficient critical metals recovery.In contrast,advanced direct recycling can selectively extract valuable metals while preserving cathode structure,achieving over 99%lithium recovery from lithium iron phosphate.Moreover,by directly repairing defects and crystal structures of spent materials,their electrochemical performance can be effectively restored.Due to significantly reduced energy and reagent inputs,direct recycling cuts processing costs by over 20% and reduces waste emissions by at least 40% compared to conventional methods,making it a promising low-carbon alternative.This review systematically integrates the recent advances in direct recycling of spent batteries as well as the limitations and challenges of existing technologies,and proposes future research pathways to promote resource recycling and sustainable development.展开更多
In the global transition towards sustainable energy sources,hydrogen energy has emerged as an indispensable pillar in reshaping the energy landscape,owing to its environmental sustainability,zero emissions,and high ef...In the global transition towards sustainable energy sources,hydrogen energy has emerged as an indispensable pillar in reshaping the energy landscape,owing to its environmental sustainability,zero emissions,and high efficiency.Nevertheless,the large-scale deployment of hydrogen energy is confronted with substantial technical barriers in storage and transportation.Although contemporary research has shifted focus to the development of highly efficient hydrogen storage materials,conventional material design concepts remain predominantly empirical,typically relying on trial-and-error methodologies.Importantly,the widespread application of artificial intelligence technologies in accelerating materials discovery and optimization has attracted considerable attention.This review provides a comprehensive overview of the latest advancements in hydrogen storage technologies,with an emphasis on the synergistic application of high-throughput screening and machine learning in solid-state hydrogen storage materials.These approaches demonstrate exceptional potential in accurately predicting hydrogen storage properties,optimizing material performance,and accelerating the development of innovative hydrogen storage materials.Specifically,we discuss in detail the essential role of artificial intelligence in developing hydrogen storage materials such as metal hydrides,alloys,carbon materials,metal–organic frameworks,and zeolites.Moreover,underground hydrogen storage is further explored as a scalable renewable energy storage solution,particularly in terms of optimizing storage parameters and performance prediction.By systematically analyzing the limitations of existing hydrogen storage approaches and the transformative potential of artificial intelligence-driven methods,this review offers insights into the discovery and optimization of high-performance hydrogen storage materials,contributing to sustainable global energy development and technological innovation.展开更多
Si,as the most promising anode with high theoretical capacity for next-generation lithium-ion batteries(LIBs),is hampered in commercial application by its poor electrical conductivity and significant volume expansion....Si,as the most promising anode with high theoretical capacity for next-generation lithium-ion batteries(LIBs),is hampered in commercial application by its poor electrical conductivity and significant volume expansion.Herein,the core-shell Si@SiO_(x)/C@C-Ar(SSC-A)or Si@SiO_(x)/C@C-H_(2)/Ar(SSC-H)composites are purposefully designed by in situ introduction of inorganic SiO_(x)in pure Ar or H_(2)/Ar atmosphere to realize a Si-based anode for LIBs.By introducing different atmospheres,the valence states of SiO_(x)are regulated.The inorganic transition layer formed by the combination of SiO_(x)with higher average valence and asphalt-derived carbon demonstrates better performance in both stabilizing the core-shell structure and inhibiting the agglomeration of Si particles.Given these advantages,the SSC-A electrode exhibits excellent electrochemical performance(1163 mAh g^(-1)after 400 cycles at 1 A g^(-1)),and the commercial blended graphite-SSC-A electrode reaches a specific capacity of 442 mAh g^(-1)with 74.8%capacity retention under the same conditions.Even the SSC-A electrode without Super P maintains an ultrahigh discharge specific capacity of 803 mAh g^(-1)with 60.6%after cycling.Importantly,the full batteries based on SSC-A without Super P achieve a discharge specific capacity of 126 mAh g^(-1)with 28.2%capacity decay after 200 cycles,demonstrating the superior commercial application potential.展开更多
The treatment of POME related contamination is complicated due to its high organic contents and complex composition.Membrane technology is a prominent method for removing POME contaminants on account of its efficiency...The treatment of POME related contamination is complicated due to its high organic contents and complex composition.Membrane technology is a prominent method for removing POME contaminants on account of its efficiency in removing suspended particles,organic substances,and contaminants from wastewater,leading to the production of high-quality treated effluent.It is crucial to achieve efficient POME treatment with minimum fouling through membrane advancement to ensure the sustainability for large-scale applications.This article comprehensively analyses the latest advancements in membrane technology for the treatment of POME.A wide range of membrane types including forward osmosis,microfiltration,ultrafiltration,nanofiltration,reverse osmosis,membrane bioreactor,photocatalytic membrane reactor,and their combinations is discussed in terms of the innovative design,treatment efficiencies and antifouling properties.The strategies for antifouling membranes such as self-healing and self-cleaning membranes are discussed.In addition to discussing the obstacles that impede the broad implementation of novel membrane tech nologies in POME treatment,the article concludes by delineating potential avenues for future research and policy considerations.The understanding and insights are expected to enhance the application ofmembrane-basedmethods in order to treat POME more efficiently;this will be instrumental in the reduction of environmental pollution.展开更多
Ceramic hollow spheres have great potential for deep-sea applications.However,the irregularity of the conventional molding process,among other reasons,results in low wall thickness uniformity of hollow spheres.To solv...Ceramic hollow spheres have great potential for deep-sea applications.However,the irregularity of the conventional molding process,among other reasons,results in low wall thickness uniformity of hollow spheres.To solve this problem,in this work,we developed a biaxial rotation grouting process for deep-sea ceramic hollow buoyancy spheres,which improves the drawbacks of the traditional rotary grouting method that results in poor wall thickness uniformity of the hollow spheres due to its irregular rotational processing.In this paper,an experimental study was carried out to investigate the effects of different rotational methods,rotational speeds,rotational time,solid phase content,etc.on the wall thickness uniformity of ceramic hollow spheres.The results show that the hollow floating balls prepared by the biaxial rotation method have the lowest wall thickness standard deviation(0.04)when the rotation speed is 60 rpm,the molding time is 8 min,and the solid phase content is 70 wt%.After the hydrostatic pressure test of 120 MPa,the hydrostatic compressive strength of hollow spheres prepared by the biaxial rotation method was increased by 31.67%compared with that of the traditional process.展开更多
Lithium-carbon dioxide(Li-CO_(2))batteries with high theoretical energy density are regarded as promising energy storage system toward carbon neutrality.However,bidirectional catalysts design for improving the sluggis...Lithium-carbon dioxide(Li-CO_(2))batteries with high theoretical energy density are regarded as promising energy storage system toward carbon neutrality.However,bidirectional catalysts design for improving the sluggish CO_(2)reduction reaction(CO_(2)RR)/CO_(2)evolution reaction(CO_(2)ER)kinetics remains a huge challenge.In this work,an advanced catalyst with fast-interfacial charge transfer was subtly synthesized through element segregation,which significantly improves the electrocatalytic activity for both CO_(2)RR and CO_(2)ER.Theoretical calculations and characterization analysis demonstrate local charge redistribution at the constructed interface,which leads to optimized binding affinity towards reactants and preferred Li_(2)CO_(3)decomposition behavior,enabling excellent catalytic activity during CO_(2)redox.Benefiting from the enhanced charge transfer ability,the designed highly efficient catalyst with dual active centers and large exposed catalytic area can maintain an ultra-small voltage gap of 0.33 V and high energy efficiency of 90.2%.This work provides an attractive strategy to construct robust catalysts by interface engineering,which could inspire further design of superior bidirectional catalysts for Li-CO_(2)batteries.展开更多
Cancer treatment often requires a multimodal approach,such as combining chemotherapy and gene therapy.However,challenges such as low therapeutic efficacy and off-target effects hinder the effectiveness of these treatm...Cancer treatment often requires a multimodal approach,such as combining chemotherapy and gene therapy.However,challenges such as low therapeutic efficacy and off-target effects hinder the effectiveness of these treatments.In this study,the use of calcium-doped metal-organic frameworks Cu_(2)(BDC)_(2)(DABCO)as a nanocarrier platform for the co-delivery of doxorubicin(DOX)and plasmid CRISPR(pCRISPR)proposed to enhance anticancer efficiency.We demonstrated that Ca-doped MOF nanocarriers significantly improved the uptake of DOX and pCRISPR by in cancer cells.The co-delivery of DOX and pCRISPR with Ca-doped MOF nanocarriers resulted in a significant rise in cell death and decreased targeted gene expression.展开更多
Laser debonding technology has been widely used in advanced chip packaging,such as fan-out integration,2.5D/3D ICs,and MEMS devices.Typically,laser debonding of bonded pairs(R/R separation)is typically achieved by com...Laser debonding technology has been widely used in advanced chip packaging,such as fan-out integration,2.5D/3D ICs,and MEMS devices.Typically,laser debonding of bonded pairs(R/R separation)is typically achieved by completely removing the material from the ablation region within the release material layer at high energy densities.However,this R/R separation method often results in a significant amount of release material and carbonized debris remaining on the surface of the device wafer,severely reducing product yields and cleaning efficiency for ultra-thin device wafers.Here,we proposed an interfacial separation strategy based on laser-induced hot stamping effect and thermoelastic stress wave,which enables stress-free separation of wafer bonding pairs at the interface of the release layer and the adhesive layer(R/A separation).By comprehensively analyzing the micro-morphology and material composition of the release material,we elucidated the laser debonding behavior of bonded pairs under different separation modes.Additionally,we calculated the ablation threshold of the release material in the case of wafer bonding and established the processing window for different separation methods.This work offers a fresh perspective on the development and application of laser debonding technology.The proposed R/A interface separation method is versatile,controllable,and highly reliable,and does not leave release materials and carbonized debris on device wafers,demonstrating strong industrial adaptability,which greatly facilitates the application and development of advanced packaging for ultra-thin chips.展开更多
Bioresorbable stents(BRS)have emerged as a groundbreaking development in the field of percutaneous coronary intervention(PCI)as they address the long-standing concerns of metallic stents.Nevertheless,the observed high...Bioresorbable stents(BRS)have emerged as a groundbreaking development in the field of percutaneous coronary intervention(PCI)as they address the long-standing concerns of metallic stents.Nevertheless,the observed higher thrombosis rates in the first generation BRS,i.e.ABSORB®,might be attributed to their thicker struts,slower degradation rate and structural dismantling of partially endothelialized stents.In this study,measures have been taken to overcome these limitations include reducing strut thickness,modifying the structural design to maintain radial strength with thinner round cross section struts and using a new material poly(L-lactide-co-ɛ-caprolactone)(PLCL 95/5)that is tougher and degrade faster than poly(L-lactic acid)(PLLA).Given the excellent biocompatibility of PLCL materials,the US FDA has approved their use in clinical applications.PLCL stents can be used to treat diseases such as tracheal stenosis and tracheoesophageal fistula,and can also be applied in the construction of other tissue engineering stents,such as nerve conduitsand fat filling stents.The newly designed coronary stents were fabricated using a 3D printing technology with a rotating platform,coated with a paclitaxel coating and comprehensive in vitro research was conducted.It was the first to undergo tests in animals.Results showed the novel paclitaxel eluting PLCL stents had super-flexible structure,thinner round cross-sectional struts,a faster degradation profile and satisfactory hemocompatibility.With a paclitaxel dose of 0.57μg/mm^(2),the drug eluting stents showed very low degree of stenosis within 6 months of implantation in a porcine model.Overall,the results showed that the novel 3D printed PLCL drug eluting stent is a very promising candidate for next generation bioresorbable coronary stent.展开更多
Chronic migraine(CM)is a prevalent and highly debilitating neurological disorder.Functional magnetic resonance imaging(fMRI)studies have demonstrated associations between abnormal brain region activation and CM,yet th...Chronic migraine(CM)is a prevalent and highly debilitating neurological disorder.Functional magnetic resonance imaging(fMRI)studies have demonstrated associations between abnormal brain region activation and CM,yet the underlying complex neural circuitry mechanisms remain unclear.The spinal trigeminal nucleus caudalis(Sp5C)serves as the primary central hub for orofacial nociceptive input,receiving trigeminal pain signals and projecting to higher-order centers such as the thalamus.Therefore,we sought to investigate whether the Sp5C region and its associated circuits were involved in CM pathogenesis.In this study,we established a CM mouse model through repeated intraperitoneal injections of nitroglycerin(NTG).Using a combination of in vivo fiber photometry and in vitro c-Fos immunohistochemistry,we found a marked periorbital and plantar mechanical allodynia in CM mice,accompanied by increased glutamatergic neuronal activity in Sp5C.Chemogenetic manipulation of Sp5C glutamatergic neurons(Sp5CV^(glut2))bidirectionally modulated migraine-like behaviors and induced pain-related affective states,as evidenced by conditioned place preference/aversion(CPP/CPA)paradigms.Anterograde viral tracing revealed dense projections from Sp5C^(Vglut2)to the subthalamic nucleus(STN),which was activated in CM mice.Optogenetic activation of the Sp5C-STN pathway similarly produced migraine-like behaviors and pain-related aversive memory in mice.Altogether,we revealed a critical role of the Sp5CVglut2-STN circuit in the development and modulation of CM.Our findings provide novel mechanistic insights into the central mechanisms underlying CM,establishing potential theoretical foundations for clinical diagnosis and therapeutic development.展开更多
Despite their high theoretical capacity and energy density,lithiumsulfur(Li–S)batteries still face challenges such as soluble lithium polysulfides(LiPSs)shuttling and sluggish redox kinetics.In this work,we used a no...Despite their high theoretical capacity and energy density,lithiumsulfur(Li–S)batteries still face challenges such as soluble lithium polysulfides(LiPSs)shuttling and sluggish redox kinetics.In this work,we used a novel MoS_(2)-Mo_(2)C heterostructure anchored on a carbon sponge(CS)as a Li_(2)S host to solve these problems.A simple hydrothermal process following carbothermal reduction was used to construct the MoS_(2)-Mo_(2)C heterostructure,enabling control of the phases and integration of MoS_(2) and Mo_(2)C.Structural characterization confirmed the coherent interface of the heterostructure with a precise orientation relationship between the two phases and their uniform distribution.An evaluation of the adsorption and catalytic performance of the material showed that it has an exceptional LiPSs adsorption capacity with faster conversion from Li_(2)S_(4) to Li_(2)S_(2).Density functional theory calculations further confirmed these results.As a result,the cathode had a high initial discharge capacity of 693 mAh g^(−1) at 0.2 C and achieved stable cycling at 2 C for 500 cycles with a low decay rate of 0.107%per cycle.The heterostructure design,coupled with the macroporous CS framework,effectively prevented the shuttling and increased sulfur utilization,offering a promising way to produce practical high-energydensity Li–S batteries.展开更多
Under the backdrop of“Carbon Peak and Carbon Neutrality”(dual carbon)goal in China,the methane-carbon dioxide reforming reaction has attracted considerable attention due to its environmental benefits of converting t...Under the backdrop of“Carbon Peak and Carbon Neutrality”(dual carbon)goal in China,the methane-carbon dioxide reforming reaction has attracted considerable attention due to its environmental benefits of converting two greenhouse gases(methane and carbon dioxide)into syngas and its promising industrial applications.Nickel(Ni)-based catalysts,with high catalytic activity,low cost,and abundant resources,are considered ideal candidates for industrial applications.In this article,three reaction kinetic models were briefly introduced,namely the Power-Law(PL)model,the Eley-Rideal(ER)model,and the Langmuir-Hinshelwood-Hougen-Watson(LHHW)model.Based on the LHHW model,the reaction kinetics and mechanisms of different catalytic systems were systematically discussed,including the properties of supports,the doping of noble metals and transition metals,the role of promoters,and the influence of the geometric and electronic structures of Ni on the reaction mechanism.Furthermore,the kinetics of carbon deposition and elimination on various catalysts were analyzed.Based on the reaction rate expressions for carbon elimination,the reasons for the high activity of transition metal iron(Fe)-doped catalysts and core-shell structured catalysts in carbon elimination were explained.Based on the detailed collation and comparative analysis of the reaction mechanisms and kinetic characteristics across diverse Ni-based catalytic systems,a theoretical guidance for the designing of high-performance catalysts was provided in this work.展开更多
Environmental pollution,energy consumption,and greenhouse gas emissions are critical global issues.To address these challenges,optimizing skimmer coatings is a major step in commercializing cleaning oil stains.This re...Environmental pollution,energy consumption,and greenhouse gas emissions are critical global issues.To address these challenges,optimizing skimmer coatings is a major step in commercializing cleaning oil stains.This research presents a novel approach to creating and refining oil absorbent coatings,introducing a unique oil spill removal skimmer enhanced with a super hydrophobic polyaniline(PANI)nanofiber coating.The goal of this study was to improve oil absorption performance,increase the contact angle,lower drag,reduce energy consumption,achieve high desirability,and lower production costs.PANI treated with hydrochloric acid was a key focus as it resulted in higher porosity and smaller pore diameters,providing a larger surface area,which are crucial factors for boosting oil absorption and minimizing drag.To optimize optimal nanofiber morphology,PANI synthesized with methanesulfonic acid was first dedoped and then redoped with hydrochloric acid.After optimization,the most effective skimmer coating was achieved using a formulation consisting of 0.1%PANI,an ammonium persulfate/aniline ratio of 0.4,and an acid/aniline ratio of 9.689,along with redoped PANI nanofibers.The optimized skimmer exhibited a remarkable contact angle of 177.477°.The coating achieved drag reduction of 32%,oil absorption of 88.725%,a cost of$1.710,and a desirability rating of 78.5%.In this study,an optimized skimmer coat containing super hydrophobic coat-PANI nanofibers was fabricated.By enhancing contact angle and reducing drag,these coatings increased the skimmer performance by improving oil absorption and reducing fuel consumption.展开更多
Breast cancer(BRCA)is characterized by high heterogeneity,with aggressive subtypes frequently showing poor prognosis and resistance to conventional therapies,making the discovery of new therapeutic targets and strateg...Breast cancer(BRCA)is characterized by high heterogeneity,with aggressive subtypes frequently showing poor prognosis and resistance to conventional therapies,making the discovery of new therapeutic targets and strategies imperative.Although elevated expression of discs large homolog 3(DLG3)has been reported in BRCA,its functional role in disease progression remains unclear.We performed bioinformatic analyses of clinical datasets to evaluate the prognostic significance of DLG3 expression in BRCA patients.In vitro gain-and loss-of-function experiments were conducted to assess the impact of DLG3 on BRCA cell proliferation,migration,and colony formation.Transcriptomic profiling,coupled with pharmacological inhibition,was employed to identify and validate downstream signaling pathways.Additionally,we extended our validation to an in vivo model to assess the role of DLG3 in tumor progression.We found that elevated DLG3 levels correlated with poor prognosis in breast cancer patients.Functionally,DLG3 overexpression significantly promoted cell proliferation and migration in estrogen receptor-positive MCF7 and triple-negative MDA-MB-231 breast cancer cells,whereas its knockdown suppressed these effects.Transcriptomic analyses revealed that DLG3 activates signal transducer and activator of transcription 3(STAT3)signaling,a finding further corroborated by Western blot.Critically,treatment with the STAT3 inhibitor Stattic attenuated DLG3-driven proliferation and migration,supporting a DLG3-STAT3 oncogenic axis.Furthermore,in vivo studies validated the role of DLG3 in promoting tumor growth and its correlation with elevated STAT3 signaling,consistent with our in vitro findings.Our findings establish DLG3 as a novel driver of breast cancer progression that directly activates STAT3 signaling.DLG3 thus represents both a potential prognostic biomarker and a promising therapeutic target for aggressive breast cancer subtypes,including triple-negative breast cancer.展开更多
In this paper,the joint design of transmit and receive beamformers for transmit subaperturing multiple-input-multiple-output(TS-MIMO)radar is investigated,aiming to enhance its low probability of intercept(LPI)capabil...In this paper,the joint design of transmit and receive beamformers for transmit subaperturing multiple-input-multiple-output(TS-MIMO)radar is investigated,aiming to enhance its low probability of intercept(LPI)capability.The main objective is to simultaneously minimize the transmission power,suppress the transmit sidelobe levels,and minimize the probability of intercept,thus bolstering the LPI performance of the radar system while maintaining the desired target detection performance.An alternative optimization method is proposed to jointly optimize the transmit and receive beamformers,yielding an unified LPI optimization framework.Particularly,the proposed iterative algorithm based on the Lagrange duality theory for transmit beamforming is more efficient than the conventional convex optimization method.Numerical experiments highlight the effectiveness of the proposed approach in sidelobe suppression and computational efficiency.展开更多
The high-temperature interaction of nanostructured Lu_(2)Si_(2)O_(7) environmental barrier coatings(EBCs)with calcium-magnesium-aluminosilicate(CMAS)was investigated at 1400℃ for 1,10,25,and 50 h to evaluate the coat...The high-temperature interaction of nanostructured Lu_(2)Si_(2)O_(7) environmental barrier coatings(EBCs)with calcium-magnesium-aluminosilicate(CMAS)was investigated at 1400℃ for 1,10,25,and 50 h to evaluate the coating’s resistance to CMAS corrosion.The results indicate a phase transformation over time,transitioning from Ca_(2)Lu_(8)(SiO_(4))6O_(2) apatite and Lu_(2)Si_(2)O_(7) to solely Lu_(2)Si_(2)O_(7).The interaction of the Lu_(2)Si_(2)O_(7) coating with the CMAS melts was divided into three stages based on the corrosion reaction behavior.The delamination cracks were distributed throughout the interface between the Si bond layer and Lu_(2)Si_(2)O_(7) layer after corroded at 1400℃ for 50 h,signifying coating failure.In addition,the influence of monosilicates,disilicates,and corrosion duration on the recession layer thickness was analyzed by comparing previous reports on RE_(2)SiO_(5)/RE_(2)Si_(2)O_(7) coatings(RE=Gd,Yb,Lu,Er).Furthermore,the variation in the thermally grown oxide layer thickness in CMAS-corroded Lu_(2)Si_(2)O_(7) coatings was systematically investigated.展开更多
Neurite outgrowth and synaptogenesis are critical steps for functional recovery following ischemic stroke.Damaged axons of the central nervous system in adult mammals exhibit limited regenerative capacity,resulting in...Neurite outgrowth and synaptogenesis are critical steps for functional recovery following ischemic stroke.Damaged axons of the central nervous system in adult mammals exhibit limited regenerative capacity,resulting in enduring neurological deficits.Recent findings from our research indicate that inhibition of Rho-associated kinase(ROCK)2 facilitates neuroprotection in different models of central nervous system diseases.In addition,our prior studies have demonstrated that axonal protection enhances the regeneration of injured axons.However,it remains unclear whether the axonal protection mediated by ROCK2 inhibition also facilitates synaptogenesis.In this study,we aimed to investigate the effects of inhibiting ROCK2 expression on synaptogenesis and neurogenesis in ischemic stroke using an shRNA-expressing adeno-associated virus(AAV)vector(AAV-sh.ROCK2).We demonstrated that AAV-sh.ROCK2 increased neurite outgrowth and facilitated synaptogenesis in vivo.Furthermore,AAV-sh.ROCK2 increased neuronal survival and promoted neurogenesis following middle cerebral artery occlusion surgery as well as long-term motor functional recovery after ischemia/reperfusion injury.Notably,AAV-sh.ROCK2 also stimulated serotonergic and dopaminergic axon sprouting after ischemia/reperfusion injury.Mechanistically,AAV-sh.ROCK2 activity resulted in increased anti-collapsin response mediator protein 2 activation and reductions in RhoA and ROCK2 expression.Our study identified ROCK2 as a critical regulator of synaptogenesis and neurogenesis,highlighting it as a promising target to facilitate neuroprotection and regeneration in ischemic stroke.展开更多
Although Named Entity Recognition(NER)in cybersecurity has historically concentrated on threat intelligence,vital security data can be found in a variety of sources,such as open-source intelligence and unprocessed too...Although Named Entity Recognition(NER)in cybersecurity has historically concentrated on threat intelligence,vital security data can be found in a variety of sources,such as open-source intelligence and unprocessed tool outputs.When dealing with technical language,the coexistence of structured and unstructured data poses serious issues for traditional BERT-based techniques.We introduce a three-phase approach for improved NER inmulti-source cybersecurity data that makes use of large language models(LLMs).To ensure thorough entity coverage,our method starts with an identification module that uses dynamic prompting techniques.To lessen hallucinations,the extraction module uses confidence-based self-assessment and cross-checking using regex validation.The tagging module links to knowledge bases for contextual validation and uses SecureBERT in conjunction with conditional random fields to detect entity boundaries precisely.Our framework creates efficient natural language segments by utilizing decoderbased LLMs with 10B parameters.When compared to baseline SecureBERT implementations,evaluation across four cybersecurity data sources shows notable gains,with a 9.4%–25.21%greater recall and a 6.38%–17.3%better F1-score.Our refined model matches larger models and achieves 2.6%–4.9%better F1-score for technical phrase recognition than the state-of-the-art alternatives Claude 3.5 Sonnet,Llama3-8B,and Mixtral-7B.The three-stage architecture identification-extraction-tagging pipeline tackles important cybersecurity NER issues.Through effective architectures,these developments preserve deployability while setting a new standard for entity extraction in challenging security scenarios.The findings show how specific enhancements in hybrid recognition,validation procedures,and prompt engineering raise NER performance above monolithic LLM approaches in cybersecurity applications,especially for technical entity extraction fromheterogeneous sourceswhere conventional techniques fall short.Because of itsmodular nature,the framework can be upgraded at the component level as new methods are developed.展开更多
基金supported by the National Key Research and Development of China(No.2018YFA0702804).
文摘Over the past several decades,the integration of IONs into EP emerged as an effective method for enhancing its mechanical properties.Nevertheless,challenges remain,especially with u-IONs,where the interfacial strength with EP is suboptimal,resulting in aggregation within the EP matrix and a subsequent deterioration in the mechanical performance of u-ION/EP nanocomposites.In this comprehensive review,we explored advanced chemical modification techniques tailored for IONs incorporated into EP,providing a detailed examination of the mechanical characteristics of surface cm-ION/EP nanocomposites.This review investigates various chemical modification methods and their distinct impacts on the mechanical attributes of the resulting EP nanocomposites.Special emphasis is given to addressing the persistent challenges of inadequate interfacial strength and aggregation.Furthermore,this article examines prospective surface modification approaches for inorganic oxide nanoparticles,offering a visionary outlook on methods to improve the mechanical performance of EP in future.
基金supported in part by the National Natural Science Foundation of China,Nos.81927804(to GL),82260456(to LY),U21A20479(to LY)Science and Technology Planning Project of Shenzhen,No.JCYJ20230807140559047(to LY)+3 种基金Key-Area Research and Development Program of Guangdong Province,No.2020B0909020004(to GL)Guangdong Basic and Applied Research Foundation,No.2023A1515011478(to LY)the Science and Technology Program of Guangdong Province,No.2022A0505090007(to GL)Ministry of Science and Technology,Shenzhen,No.QN2022032013L(to LY)。
文摘Neural machine interface technology is a pioneering approach that aims to address the complex challenges of neurological dysfunctions and disabilities resulting from conditions such as congenital disorders,traumatic injuries,and neurological diseases.Neural machine interface technology establishes direct connections with the brain or peripheral nervous system to restore impaired motor,sensory,and cognitive functions,significantly improving patients'quality of life.This review analyzes the chronological development and integration of various neural machine interface technologies,including regenerative peripheral nerve interfaces,targeted muscle and sensory reinnervation,agonist–antagonist myoneural interfaces,and brain–machine interfaces.Recent advancements in flexible electronics and bioengineering have led to the development of more biocompatible and highresolution electrodes,which enhance the performance and longevity of neural machine interface technology.However,significant challenges remain,such as signal interference,fibrous tissue encapsulation,and the need for precise anatomical localization and reconstruction.The integration of advanced signal processing algorithms,particularly those utilizing artificial intelligence and machine learning,has the potential to improve the accuracy and reliability of neural signal interpretation,which will make neural machine interface technologies more intuitive and effective.These technologies have broad,impactful clinical applications,ranging from motor restoration and sensory feedback in prosthetics to neurological disorder treatment and neurorehabilitation.This review suggests that multidisciplinary collaboration will play a critical role in advancing neural machine interface technologies by combining insights from biomedical engineering,clinical surgery,and neuroengineering to develop more sophisticated and reliable interfaces.By addressing existing limitations and exploring new technological frontiers,neural machine interface technologies have the potential to revolutionize neuroprosthetics and neurorehabilitation,promising enhanced mobility,independence,and quality of life for individuals with neurological impairments.By leveraging detailed anatomical knowledge and integrating cutting-edge neuroengineering principles,researchers and clinicians can push the boundaries of what is possible and create increasingly sophisticated and long-lasting prosthetic devices that provide sustained benefits for users.
基金supported by the National Science Fund for Distinguished Young Scholars(52425706)。
文摘The rapid expansion of lithium-ion batteries in electric vehicles and grid-scale energy storage intensify the demand for sustainable recycling strategies.Traditional metallurgical recycling methods face significant challenges,including high energy consumption,environmental pollution,and inefficient critical metals recovery.In contrast,advanced direct recycling can selectively extract valuable metals while preserving cathode structure,achieving over 99%lithium recovery from lithium iron phosphate.Moreover,by directly repairing defects and crystal structures of spent materials,their electrochemical performance can be effectively restored.Due to significantly reduced energy and reagent inputs,direct recycling cuts processing costs by over 20% and reduces waste emissions by at least 40% compared to conventional methods,making it a promising low-carbon alternative.This review systematically integrates the recent advances in direct recycling of spent batteries as well as the limitations and challenges of existing technologies,and proposes future research pathways to promote resource recycling and sustainable development.
基金the National Natural Science Foundation of China(No.22273096)the Young Scientists Fund of the National Natural Science Foundation of China(Grant No.22409139).
文摘In the global transition towards sustainable energy sources,hydrogen energy has emerged as an indispensable pillar in reshaping the energy landscape,owing to its environmental sustainability,zero emissions,and high efficiency.Nevertheless,the large-scale deployment of hydrogen energy is confronted with substantial technical barriers in storage and transportation.Although contemporary research has shifted focus to the development of highly efficient hydrogen storage materials,conventional material design concepts remain predominantly empirical,typically relying on trial-and-error methodologies.Importantly,the widespread application of artificial intelligence technologies in accelerating materials discovery and optimization has attracted considerable attention.This review provides a comprehensive overview of the latest advancements in hydrogen storage technologies,with an emphasis on the synergistic application of high-throughput screening and machine learning in solid-state hydrogen storage materials.These approaches demonstrate exceptional potential in accurately predicting hydrogen storage properties,optimizing material performance,and accelerating the development of innovative hydrogen storage materials.Specifically,we discuss in detail the essential role of artificial intelligence in developing hydrogen storage materials such as metal hydrides,alloys,carbon materials,metal–organic frameworks,and zeolites.Moreover,underground hydrogen storage is further explored as a scalable renewable energy storage solution,particularly in terms of optimizing storage parameters and performance prediction.By systematically analyzing the limitations of existing hydrogen storage approaches and the transformative potential of artificial intelligence-driven methods,this review offers insights into the discovery and optimization of high-performance hydrogen storage materials,contributing to sustainable global energy development and technological innovation.
基金financially supported by the National Natural Science Foundation of China(Nos.U22A20145,52072151,52171211,and 52271218)Jinan Independent Innovative Team(No.2020GXRC015)+3 种基金the Major Program of Shandong Province Natural Science Foundation(No.ZR2023ZD43)Natural Science Foumdation of Jiangsu Province(No.BK20241973)High-level Training Talents of'333'Project in Jiangsu Provincethe Science and Technology Program of University of Jinan(No.XKY2119)
文摘Si,as the most promising anode with high theoretical capacity for next-generation lithium-ion batteries(LIBs),is hampered in commercial application by its poor electrical conductivity and significant volume expansion.Herein,the core-shell Si@SiO_(x)/C@C-Ar(SSC-A)or Si@SiO_(x)/C@C-H_(2)/Ar(SSC-H)composites are purposefully designed by in situ introduction of inorganic SiO_(x)in pure Ar or H_(2)/Ar atmosphere to realize a Si-based anode for LIBs.By introducing different atmospheres,the valence states of SiO_(x)are regulated.The inorganic transition layer formed by the combination of SiO_(x)with higher average valence and asphalt-derived carbon demonstrates better performance in both stabilizing the core-shell structure and inhibiting the agglomeration of Si particles.Given these advantages,the SSC-A electrode exhibits excellent electrochemical performance(1163 mAh g^(-1)after 400 cycles at 1 A g^(-1)),and the commercial blended graphite-SSC-A electrode reaches a specific capacity of 442 mAh g^(-1)with 74.8%capacity retention under the same conditions.Even the SSC-A electrode without Super P maintains an ultrahigh discharge specific capacity of 803 mAh g^(-1)with 60.6%after cycling.Importantly,the full batteries based on SSC-A without Super P achieve a discharge specific capacity of 126 mAh g^(-1)with 28.2%capacity decay after 200 cycles,demonstrating the superior commercial application potential.
基金financial support from SATREPS project(vote number:R.J130000.7801.4L977)KPM-UTM Grant(vote number:R.J130000.7301.4L997).
文摘The treatment of POME related contamination is complicated due to its high organic contents and complex composition.Membrane technology is a prominent method for removing POME contaminants on account of its efficiency in removing suspended particles,organic substances,and contaminants from wastewater,leading to the production of high-quality treated effluent.It is crucial to achieve efficient POME treatment with minimum fouling through membrane advancement to ensure the sustainability for large-scale applications.This article comprehensively analyses the latest advancements in membrane technology for the treatment of POME.A wide range of membrane types including forward osmosis,microfiltration,ultrafiltration,nanofiltration,reverse osmosis,membrane bioreactor,photocatalytic membrane reactor,and their combinations is discussed in terms of the innovative design,treatment efficiencies and antifouling properties.The strategies for antifouling membranes such as self-healing and self-cleaning membranes are discussed.In addition to discussing the obstacles that impede the broad implementation of novel membrane tech nologies in POME treatment,the article concludes by delineating potential avenues for future research and policy considerations.The understanding and insights are expected to enhance the application ofmembrane-basedmethods in order to treat POME more efficiently;this will be instrumental in the reduction of environmental pollution.
基金Funded by the Key Research and Development Program of Shandong Province(No.2020JMRH0101)。
文摘Ceramic hollow spheres have great potential for deep-sea applications.However,the irregularity of the conventional molding process,among other reasons,results in low wall thickness uniformity of hollow spheres.To solve this problem,in this work,we developed a biaxial rotation grouting process for deep-sea ceramic hollow buoyancy spheres,which improves the drawbacks of the traditional rotary grouting method that results in poor wall thickness uniformity of the hollow spheres due to its irregular rotational processing.In this paper,an experimental study was carried out to investigate the effects of different rotational methods,rotational speeds,rotational time,solid phase content,etc.on the wall thickness uniformity of ceramic hollow spheres.The results show that the hollow floating balls prepared by the biaxial rotation method have the lowest wall thickness standard deviation(0.04)when the rotation speed is 60 rpm,the molding time is 8 min,and the solid phase content is 70 wt%.After the hydrostatic pressure test of 120 MPa,the hydrostatic compressive strength of hollow spheres prepared by the biaxial rotation method was increased by 31.67%compared with that of the traditional process.
基金supported by the National Key Research and Development Program of China(2019YFA0705700)Guangdong Innovative and Entrepreneurial Research Team Program(2021ZT09L197)+2 种基金Shenzhen Science and Technology Program(KQTD20210811090112002)Interdisciplinary Research and Innovation Fund of Tsinghua Shenzhen International Graduate School,National Natural Science Foundation of China(No.52373233)the SIAT International Joint Lab Project(No.E3G113).
文摘Lithium-carbon dioxide(Li-CO_(2))batteries with high theoretical energy density are regarded as promising energy storage system toward carbon neutrality.However,bidirectional catalysts design for improving the sluggish CO_(2)reduction reaction(CO_(2)RR)/CO_(2)evolution reaction(CO_(2)ER)kinetics remains a huge challenge.In this work,an advanced catalyst with fast-interfacial charge transfer was subtly synthesized through element segregation,which significantly improves the electrocatalytic activity for both CO_(2)RR and CO_(2)ER.Theoretical calculations and characterization analysis demonstrate local charge redistribution at the constructed interface,which leads to optimized binding affinity towards reactants and preferred Li_(2)CO_(3)decomposition behavior,enabling excellent catalytic activity during CO_(2)redox.Benefiting from the enhanced charge transfer ability,the designed highly efficient catalyst with dual active centers and large exposed catalytic area can maintain an ultra-small voltage gap of 0.33 V and high energy efficiency of 90.2%.This work provides an attractive strategy to construct robust catalysts by interface engineering,which could inspire further design of superior bidirectional catalysts for Li-CO_(2)batteries.
文摘Cancer treatment often requires a multimodal approach,such as combining chemotherapy and gene therapy.However,challenges such as low therapeutic efficacy and off-target effects hinder the effectiveness of these treatments.In this study,the use of calcium-doped metal-organic frameworks Cu_(2)(BDC)_(2)(DABCO)as a nanocarrier platform for the co-delivery of doxorubicin(DOX)and plasmid CRISPR(pCRISPR)proposed to enhance anticancer efficiency.We demonstrated that Ca-doped MOF nanocarriers significantly improved the uptake of DOX and pCRISPR by in cancer cells.The co-delivery of DOX and pCRISPR with Ca-doped MOF nanocarriers resulted in a significant rise in cell death and decreased targeted gene expression.
基金the National Natural Science Foundation of China(62174170)the Natural Science Foundation of Guangdong Province(2024A1515010123)+4 种基金the Shenzhen Science and Technology Program(20220807020526001)the Strategic Priority Research Program of the Chinese Academy of Sciences(XDB0670000)the Shenzhen Science and Technology Program(KJZD20230923114708018,KJZD20230923114710022)the Talent Support Project of Guangdong(2021TX06C101)the Shenzhen Basic Research(JCYJ20210324115406019).
文摘Laser debonding technology has been widely used in advanced chip packaging,such as fan-out integration,2.5D/3D ICs,and MEMS devices.Typically,laser debonding of bonded pairs(R/R separation)is typically achieved by completely removing the material from the ablation region within the release material layer at high energy densities.However,this R/R separation method often results in a significant amount of release material and carbonized debris remaining on the surface of the device wafer,severely reducing product yields and cleaning efficiency for ultra-thin device wafers.Here,we proposed an interfacial separation strategy based on laser-induced hot stamping effect and thermoelastic stress wave,which enables stress-free separation of wafer bonding pairs at the interface of the release layer and the adhesive layer(R/A separation).By comprehensively analyzing the micro-morphology and material composition of the release material,we elucidated the laser debonding behavior of bonded pairs under different separation modes.Additionally,we calculated the ablation threshold of the release material in the case of wafer bonding and established the processing window for different separation methods.This work offers a fresh perspective on the development and application of laser debonding technology.The proposed R/A interface separation method is versatile,controllable,and highly reliable,and does not leave release materials and carbonized debris on device wafers,demonstrating strong industrial adaptability,which greatly facilitates the application and development of advanced packaging for ultra-thin chips.
文摘Bioresorbable stents(BRS)have emerged as a groundbreaking development in the field of percutaneous coronary intervention(PCI)as they address the long-standing concerns of metallic stents.Nevertheless,the observed higher thrombosis rates in the first generation BRS,i.e.ABSORB®,might be attributed to their thicker struts,slower degradation rate and structural dismantling of partially endothelialized stents.In this study,measures have been taken to overcome these limitations include reducing strut thickness,modifying the structural design to maintain radial strength with thinner round cross section struts and using a new material poly(L-lactide-co-ɛ-caprolactone)(PLCL 95/5)that is tougher and degrade faster than poly(L-lactic acid)(PLLA).Given the excellent biocompatibility of PLCL materials,the US FDA has approved their use in clinical applications.PLCL stents can be used to treat diseases such as tracheal stenosis and tracheoesophageal fistula,and can also be applied in the construction of other tissue engineering stents,such as nerve conduitsand fat filling stents.The newly designed coronary stents were fabricated using a 3D printing technology with a rotating platform,coated with a paclitaxel coating and comprehensive in vitro research was conducted.It was the first to undergo tests in animals.Results showed the novel paclitaxel eluting PLCL stents had super-flexible structure,thinner round cross-sectional struts,a faster degradation profile and satisfactory hemocompatibility.With a paclitaxel dose of 0.57μg/mm^(2),the drug eluting stents showed very low degree of stenosis within 6 months of implantation in a porcine model.Overall,the results showed that the novel 3D printed PLCL drug eluting stent is a very promising candidate for next generation bioresorbable coronary stent.
基金supported by the National Natural Science Foundation of China(No.32571336 and 32271048)Research Funds of Centre for Leading Medicine and Advanced Technologies of IHM(No.2025IHM01100)。
文摘Chronic migraine(CM)is a prevalent and highly debilitating neurological disorder.Functional magnetic resonance imaging(fMRI)studies have demonstrated associations between abnormal brain region activation and CM,yet the underlying complex neural circuitry mechanisms remain unclear.The spinal trigeminal nucleus caudalis(Sp5C)serves as the primary central hub for orofacial nociceptive input,receiving trigeminal pain signals and projecting to higher-order centers such as the thalamus.Therefore,we sought to investigate whether the Sp5C region and its associated circuits were involved in CM pathogenesis.In this study,we established a CM mouse model through repeated intraperitoneal injections of nitroglycerin(NTG).Using a combination of in vivo fiber photometry and in vitro c-Fos immunohistochemistry,we found a marked periorbital and plantar mechanical allodynia in CM mice,accompanied by increased glutamatergic neuronal activity in Sp5C.Chemogenetic manipulation of Sp5C glutamatergic neurons(Sp5CV^(glut2))bidirectionally modulated migraine-like behaviors and induced pain-related affective states,as evidenced by conditioned place preference/aversion(CPP/CPA)paradigms.Anterograde viral tracing revealed dense projections from Sp5C^(Vglut2)to the subthalamic nucleus(STN),which was activated in CM mice.Optogenetic activation of the Sp5C-STN pathway similarly produced migraine-like behaviors and pain-related aversive memory in mice.Altogether,we revealed a critical role of the Sp5CVglut2-STN circuit in the development and modulation of CM.Our findings provide novel mechanistic insights into the central mechanisms underlying CM,establishing potential theoretical foundations for clinical diagnosis and therapeutic development.
文摘Despite their high theoretical capacity and energy density,lithiumsulfur(Li–S)batteries still face challenges such as soluble lithium polysulfides(LiPSs)shuttling and sluggish redox kinetics.In this work,we used a novel MoS_(2)-Mo_(2)C heterostructure anchored on a carbon sponge(CS)as a Li_(2)S host to solve these problems.A simple hydrothermal process following carbothermal reduction was used to construct the MoS_(2)-Mo_(2)C heterostructure,enabling control of the phases and integration of MoS_(2) and Mo_(2)C.Structural characterization confirmed the coherent interface of the heterostructure with a precise orientation relationship between the two phases and their uniform distribution.An evaluation of the adsorption and catalytic performance of the material showed that it has an exceptional LiPSs adsorption capacity with faster conversion from Li_(2)S_(4) to Li_(2)S_(2).Density functional theory calculations further confirmed these results.As a result,the cathode had a high initial discharge capacity of 693 mAh g^(−1) at 0.2 C and achieved stable cycling at 2 C for 500 cycles with a low decay rate of 0.107%per cycle.The heterostructure design,coupled with the macroporous CS framework,effectively prevented the shuttling and increased sulfur utilization,offering a promising way to produce practical high-energydensity Li–S batteries.
基金Supported by Innovation Capability Support Program of Shaanxi(2024RS-CXTD-53,2024ZC-KJXX-096)the Key R&D Program of Shaanxi Province(2022QCY-LL-69)Xi’an Science and Technology Project(24GXFW0089)。
文摘Under the backdrop of“Carbon Peak and Carbon Neutrality”(dual carbon)goal in China,the methane-carbon dioxide reforming reaction has attracted considerable attention due to its environmental benefits of converting two greenhouse gases(methane and carbon dioxide)into syngas and its promising industrial applications.Nickel(Ni)-based catalysts,with high catalytic activity,low cost,and abundant resources,are considered ideal candidates for industrial applications.In this article,three reaction kinetic models were briefly introduced,namely the Power-Law(PL)model,the Eley-Rideal(ER)model,and the Langmuir-Hinshelwood-Hougen-Watson(LHHW)model.Based on the LHHW model,the reaction kinetics and mechanisms of different catalytic systems were systematically discussed,including the properties of supports,the doping of noble metals and transition metals,the role of promoters,and the influence of the geometric and electronic structures of Ni on the reaction mechanism.Furthermore,the kinetics of carbon deposition and elimination on various catalysts were analyzed.Based on the reaction rate expressions for carbon elimination,the reasons for the high activity of transition metal iron(Fe)-doped catalysts and core-shell structured catalysts in carbon elimination were explained.Based on the detailed collation and comparative analysis of the reaction mechanisms and kinetic characteristics across diverse Ni-based catalytic systems,a theoretical guidance for the designing of high-performance catalysts was provided in this work.
文摘Environmental pollution,energy consumption,and greenhouse gas emissions are critical global issues.To address these challenges,optimizing skimmer coatings is a major step in commercializing cleaning oil stains.This research presents a novel approach to creating and refining oil absorbent coatings,introducing a unique oil spill removal skimmer enhanced with a super hydrophobic polyaniline(PANI)nanofiber coating.The goal of this study was to improve oil absorption performance,increase the contact angle,lower drag,reduce energy consumption,achieve high desirability,and lower production costs.PANI treated with hydrochloric acid was a key focus as it resulted in higher porosity and smaller pore diameters,providing a larger surface area,which are crucial factors for boosting oil absorption and minimizing drag.To optimize optimal nanofiber morphology,PANI synthesized with methanesulfonic acid was first dedoped and then redoped with hydrochloric acid.After optimization,the most effective skimmer coating was achieved using a formulation consisting of 0.1%PANI,an ammonium persulfate/aniline ratio of 0.4,and an acid/aniline ratio of 9.689,along with redoped PANI nanofibers.The optimized skimmer exhibited a remarkable contact angle of 177.477°.The coating achieved drag reduction of 32%,oil absorption of 88.725%,a cost of$1.710,and a desirability rating of 78.5%.In this study,an optimized skimmer coat containing super hydrophobic coat-PANI nanofibers was fabricated.By enhancing contact angle and reducing drag,these coatings increased the skimmer performance by improving oil absorption and reducing fuel consumption.
文摘Breast cancer(BRCA)is characterized by high heterogeneity,with aggressive subtypes frequently showing poor prognosis and resistance to conventional therapies,making the discovery of new therapeutic targets and strategies imperative.Although elevated expression of discs large homolog 3(DLG3)has been reported in BRCA,its functional role in disease progression remains unclear.We performed bioinformatic analyses of clinical datasets to evaluate the prognostic significance of DLG3 expression in BRCA patients.In vitro gain-and loss-of-function experiments were conducted to assess the impact of DLG3 on BRCA cell proliferation,migration,and colony formation.Transcriptomic profiling,coupled with pharmacological inhibition,was employed to identify and validate downstream signaling pathways.Additionally,we extended our validation to an in vivo model to assess the role of DLG3 in tumor progression.We found that elevated DLG3 levels correlated with poor prognosis in breast cancer patients.Functionally,DLG3 overexpression significantly promoted cell proliferation and migration in estrogen receptor-positive MCF7 and triple-negative MDA-MB-231 breast cancer cells,whereas its knockdown suppressed these effects.Transcriptomic analyses revealed that DLG3 activates signal transducer and activator of transcription 3(STAT3)signaling,a finding further corroborated by Western blot.Critically,treatment with the STAT3 inhibitor Stattic attenuated DLG3-driven proliferation and migration,supporting a DLG3-STAT3 oncogenic axis.Furthermore,in vivo studies validated the role of DLG3 in promoting tumor growth and its correlation with elevated STAT3 signaling,consistent with our in vitro findings.Our findings establish DLG3 as a novel driver of breast cancer progression that directly activates STAT3 signaling.DLG3 thus represents both a potential prognostic biomarker and a promising therapeutic target for aggressive breast cancer subtypes,including triple-negative breast cancer.
基金supported by the National Natural Science Foundation of China(62271247)the Natural Science Foundation of Jiangsu Province(BK20240181)+4 种基金the Dreams Foundation of Jianghuai Advance Technology Center(2023-ZM01D001)the National Aerospace Science Foundation of China(20220055052001)the Qing Lan Project of Jiangsu Provincethe Fund of Prospective Layout of Scientific Research for Nanjing University of Aeronautics and Astronauticsthe Key Laboratory of Radar Imaging and Microwave Photonics(Nanjing University of Aeronautics and Astronautics),Ministry of Education。
文摘In this paper,the joint design of transmit and receive beamformers for transmit subaperturing multiple-input-multiple-output(TS-MIMO)radar is investigated,aiming to enhance its low probability of intercept(LPI)capability.The main objective is to simultaneously minimize the transmission power,suppress the transmit sidelobe levels,and minimize the probability of intercept,thus bolstering the LPI performance of the radar system while maintaining the desired target detection performance.An alternative optimization method is proposed to jointly optimize the transmit and receive beamformers,yielding an unified LPI optimization framework.Particularly,the proposed iterative algorithm based on the Lagrange duality theory for transmit beamforming is more efficient than the conventional convex optimization method.Numerical experiments highlight the effectiveness of the proposed approach in sidelobe suppression and computational efficiency.
基金supported by the National Science and Technology Major Project of China(No.2017-VI-0020-0093).
文摘The high-temperature interaction of nanostructured Lu_(2)Si_(2)O_(7) environmental barrier coatings(EBCs)with calcium-magnesium-aluminosilicate(CMAS)was investigated at 1400℃ for 1,10,25,and 50 h to evaluate the coating’s resistance to CMAS corrosion.The results indicate a phase transformation over time,transitioning from Ca_(2)Lu_(8)(SiO_(4))6O_(2) apatite and Lu_(2)Si_(2)O_(7) to solely Lu_(2)Si_(2)O_(7).The interaction of the Lu_(2)Si_(2)O_(7) coating with the CMAS melts was divided into three stages based on the corrosion reaction behavior.The delamination cracks were distributed throughout the interface between the Si bond layer and Lu_(2)Si_(2)O_(7) layer after corroded at 1400℃ for 50 h,signifying coating failure.In addition,the influence of monosilicates,disilicates,and corrosion duration on the recession layer thickness was analyzed by comparing previous reports on RE_(2)SiO_(5)/RE_(2)Si_(2)O_(7) coatings(RE=Gd,Yb,Lu,Er).Furthermore,the variation in the thermally grown oxide layer thickness in CMAS-corroded Lu_(2)Si_(2)O_(7) coatings was systematically investigated.
基金supported by the National Natural Science Foundation of China,No.82471327the Natural Science Foundation of ShandongProvince,No.ZR2024MH200(both to SL).
文摘Neurite outgrowth and synaptogenesis are critical steps for functional recovery following ischemic stroke.Damaged axons of the central nervous system in adult mammals exhibit limited regenerative capacity,resulting in enduring neurological deficits.Recent findings from our research indicate that inhibition of Rho-associated kinase(ROCK)2 facilitates neuroprotection in different models of central nervous system diseases.In addition,our prior studies have demonstrated that axonal protection enhances the regeneration of injured axons.However,it remains unclear whether the axonal protection mediated by ROCK2 inhibition also facilitates synaptogenesis.In this study,we aimed to investigate the effects of inhibiting ROCK2 expression on synaptogenesis and neurogenesis in ischemic stroke using an shRNA-expressing adeno-associated virus(AAV)vector(AAV-sh.ROCK2).We demonstrated that AAV-sh.ROCK2 increased neurite outgrowth and facilitated synaptogenesis in vivo.Furthermore,AAV-sh.ROCK2 increased neuronal survival and promoted neurogenesis following middle cerebral artery occlusion surgery as well as long-term motor functional recovery after ischemia/reperfusion injury.Notably,AAV-sh.ROCK2 also stimulated serotonergic and dopaminergic axon sprouting after ischemia/reperfusion injury.Mechanistically,AAV-sh.ROCK2 activity resulted in increased anti-collapsin response mediator protein 2 activation and reductions in RhoA and ROCK2 expression.Our study identified ROCK2 as a critical regulator of synaptogenesis and neurogenesis,highlighting it as a promising target to facilitate neuroprotection and regeneration in ischemic stroke.
文摘Although Named Entity Recognition(NER)in cybersecurity has historically concentrated on threat intelligence,vital security data can be found in a variety of sources,such as open-source intelligence and unprocessed tool outputs.When dealing with technical language,the coexistence of structured and unstructured data poses serious issues for traditional BERT-based techniques.We introduce a three-phase approach for improved NER inmulti-source cybersecurity data that makes use of large language models(LLMs).To ensure thorough entity coverage,our method starts with an identification module that uses dynamic prompting techniques.To lessen hallucinations,the extraction module uses confidence-based self-assessment and cross-checking using regex validation.The tagging module links to knowledge bases for contextual validation and uses SecureBERT in conjunction with conditional random fields to detect entity boundaries precisely.Our framework creates efficient natural language segments by utilizing decoderbased LLMs with 10B parameters.When compared to baseline SecureBERT implementations,evaluation across four cybersecurity data sources shows notable gains,with a 9.4%–25.21%greater recall and a 6.38%–17.3%better F1-score.Our refined model matches larger models and achieves 2.6%–4.9%better F1-score for technical phrase recognition than the state-of-the-art alternatives Claude 3.5 Sonnet,Llama3-8B,and Mixtral-7B.The three-stage architecture identification-extraction-tagging pipeline tackles important cybersecurity NER issues.Through effective architectures,these developments preserve deployability while setting a new standard for entity extraction in challenging security scenarios.The findings show how specific enhancements in hybrid recognition,validation procedures,and prompt engineering raise NER performance above monolithic LLM approaches in cybersecurity applications,especially for technical entity extraction fromheterogeneous sourceswhere conventional techniques fall short.Because of itsmodular nature,the framework can be upgraded at the component level as new methods are developed.
