The pollutants emitted from industrial facilities seriously affect the atmospheric environment and human health.Accurately detecting lowconcentration gas pollutants by single metal oxide gas sensors remains a signific...The pollutants emitted from industrial facilities seriously affect the atmospheric environment and human health.Accurately detecting lowconcentration gas pollutants by single metal oxide gas sensors remains a significant challenge.In this study,we developed a novel electronic nose system to precisely discriminate components and concentrations of single and binary gas mixtures.The specific sensor array was constructed with six sensors based on SnO2and Co3O4sensing materials.The dataset collected from the electronic nose system was analyzed using k-nearest neighbor(KNN),support vector machine(SVM),random forest(RF),and logistic regression(LR)algorithms.For low-concentration ethanol,ammonia,and toluene,the KNN model accurately discriminated gas components and concentrations,achieving a five-fold crossvalidation accuracy of 97.2%.As the number of sensors increased from 3 to 6,the accuracy for the types and concentrations of single and binary mixtures rose from 78.9%to 97.2%.The discrimination results for low-concentration gaseous pollutants demonstrate great potential for real atmospheric quality monitoring and provide an effective solution to the precise detection by metal oxide sensors.展开更多
The growing global energy demand and worsening climate change highlight the urgent need for clean,efficient and sustainable energy solutions.Among emerging technologies,atomically thin two-dimensional(2D)materials off...The growing global energy demand and worsening climate change highlight the urgent need for clean,efficient and sustainable energy solutions.Among emerging technologies,atomically thin two-dimensional(2D)materials offer unique advantages in photovoltaics due to their tunable optoelectronic properties,high surface area and efficient charge transport capabilities.This review explores recent progress in photovoltaics incorporating 2D materials,focusing on their application as hole and electron transport layers to optimize bandgap alignment,enhance carrier mobility and improve chemical stability.A comprehensive analysis is presented on perovskite solar cells utilizing 2D materials,with a particular focus on strategies to enhance crystallization,passivate defects and improve overall cell efficiency.Additionally,the application of 2D materials in organic solar cells is examined,particularly for reducing recombination losses and enhancing charge extraction through work function modification.Their impact on dye-sensitized solar cells,including catalytic activity and counter electrode performance,is also explored.Finally,the review outlines key challenges,material limitations and performance metrics,offering insight into the future development of nextgeneration photovoltaic devices encouraged by 2D materials.展开更多
Extreme climate events(e.g.,heatwaves and droughts)are becoming increasingly frequent due to global climate change,which inevitably affects tree growth and various other ecological processes.While the impacts of droug...Extreme climate events(e.g.,heatwaves and droughts)are becoming increasingly frequent due to global climate change,which inevitably affects tree growth and various other ecological processes.While the impacts of droughts on these processes have been widely evaluated,the effects of heatwaves on tree growth and soil water content(SWC)remain poorly understood,particularly those related to thinning treatment.In this study,we evaluated the impacts of the 2021 Pacific Northwest Heatwave and thinning on forest growth and SWC,as well as assessed how thinning might mitigate the heatwave's impacts in lodgepole pine forests in British Columbia,Canada.We measured meteorological data(air temperature,rainfall,solar radiation(SR),relative humidity(RH),and wind speed(Ws),sap flow,SWC,soil temperature(Ts),and tree diameters at the breast height(DBH)during the growing season(June–September)in the control(27,000 stems·ha-1),lightly thinned(4,500 stems·ha-1),and heavily thinned(1,100 stems·ha-1)experimental plots from 2018 to 2024.We found that thinning persistently and significantly(p<0.05)increased individual tree growth,with the most pronounced effects in the heavily thinned stands.The 2021 Pacific Northwest Heatwave led to an exceptionally hot growing season,significantly(p<0.05)reducing forest growth and SWC across all plots.Forest growth recovered in 2022 in the thinned plots but remained suppressed in the unthinned plots,suggesting that thinning effectively mitigated the impact of the heatwave on forest growth,while the heatwave's impacts were persistent in the unthinned plots.Our study highlights that thinning is a practical management strategy for improving tree growth and supporting climate change adaptation to extreme climate events.展开更多
A clear goal in cold tumor research is to identify strategies for converting them into immunologically‘hot’tumors with enhanced immune cell infiltration and activity,thereby improving their responsiveness to immunot...A clear goal in cold tumor research is to identify strategies for converting them into immunologically‘hot’tumors with enhanced immune cell infiltration and activity,thereby improving their responsiveness to immunotherapy.The genesis of cold tumors is exceedingly intricate.In recent times,as the analysis of this phenomenon has been pursued with greater depth,a suite of advanced diagnostic and therapeutic technologies has surfaced.These novel approaches and tactics are anticipated to modulate the tumor immune microenvironment across various dimensions,thereby facilitating the advancement of personalized and precise treatment modalities for cold tumors.The present article addresses the challenge of diminished therapeutic responsiveness to“cold tumors”within clinical settings.It systematically elucidates the multi-faceted regulatory mechanisms underlying immune evasion in cold tumors and offers a detailed analysis of advanced therapeutic strategies that incorporate nanotechnology,gene editing,and artificial intelligence methodologies.Furthermore,the future development trends of immunotherapy were explored in greater depth.It was posited that the convergence of artificial intelligence,multidimensional genomics,and emerging biotechnologies has presented positive prospects for the treatment of cold tumors,and has offered a theoretical foundation and technical framework for the transformation of cold tumors into“hot tumors”.展开更多
Integrated Internet of Things(IoT)brings novel opportunities for pervasive smart services,as these systems al-low for seamless information and resource sharing among IoT devices.Meanwhile,Federated Learning(FL)has eme...Integrated Internet of Things(IoT)brings novel opportunities for pervasive smart services,as these systems al-low for seamless information and resource sharing among IoT devices.Meanwhile,Federated Learning(FL)has emerged as a new framework for distributed deployment of machine learning models and a promising approach for implementing intelligent IoT systems.However,integrated IoT systems are usually composed of diverse IoT devices from different systems,and thus their ownership,roles,data distribution,and capabilities are heteroge-neous.Current FL algorithms mainly focus on handling non-Independent and Identically Distributed(Non-IID)issues,but often result in reduced and unsustainable performance in integrated IoT systems.Therefore,we inves-tigate in this paper the problem of personalized and sustainable FL in integrated IoT systems.First,we argue that different parties in integrated IoT are heterogeneous and limited in available resources for FL,and these parties are also selfish and expect rational outcomes during cooperation,which is essential for guaranteeing the sustain-ability of integrated IoT.Then,this paper provides a novel framework for device selection in FL.It first sets one instance of the model for each device,and iteratively selects devices to participate in model training based on the joint consideration of local model accuracy,similarity of parameters,and remaining resources per device.The proposed method guarantees the rational allocation of resources to maintain balanced model performance across all devices.In this way,the sustainability of the whole IoT system is improved such that no devices will suffer extreme resource exhaustion or poor performance.Finally,extensive evaluation is conducted to validate the advanced performance of the proposed method in integrated IoT systems.展开更多
Coal-derived hard carbon(HC)represents a promising anode material for sodium-ion batteries owing to its cost-effectiveness and high carbon yield.However,conventional carbonization induces excessive graphitization,yiel...Coal-derived hard carbon(HC)represents a promising anode material for sodium-ion batteries owing to its cost-effectiveness and high carbon yield.However,conventional carbonization induces excessive graphitization,yielding insufficient interlayer spacing(d002<0.37 nm)and underdeveloped closed pores.Herein,we propose a dynamic crystallization control strategy through carbothermal shock treatment(1300°C,30 s)that decouples thermodynamic and kinetic constraints.This method precisely modulates graphite domain ordering kinetics,producing short-range ordered structures with expanded interlayer spacing(d002=0.385 nm)and homogeneously distributed closed nanopores.Through combined in situ characterization and first-principles calculations,we elucidate a three-stage crystallization mechanism:(i)amorphous carbon transformation,(ii)open-pore collapse,and(iii)pseudo-graphitic ordering.The optimized HC achieves record performance with 88.6%initial Coulombic efficiency and 204 mA h g−1plateau capacity,while its optimal interlayer spacing lowers Na+diffusion barriers to enable exceptional rate capability(221 mA h g−1at 0.5C after 300 cycles).Practical pouch cells maintain 85%capacity retention after 100 cycles at−20°C and deliver 284 Wh kg−1energy density.This work establishes a kinetic regulation paradigm for graphitization-prone precursors,advancing the rational design of high-performance HC anodes.展开更多
Rye(Secale cereale L.)contains numerous disease resistance genes that can be utilized for wheat(Triticum aestivum)improvement.For example,rye chromosome 6 carries powdery mildew resistance genes.Wheat-rye 6R transloca...Rye(Secale cereale L.)contains numerous disease resistance genes that can be utilized for wheat(Triticum aestivum)improvement.For example,rye chromosome 6 carries powdery mildew resistance genes.Wheat-rye 6R translocation lines are highly useful,but more wheat-rye 6R translocation lines with potential breeding value are needed.In this study,we identified a new wheat-rye T6 BS.6 BL-6 RLKutranslocation chromosome,conferring powdery mildew resistance,from the progeny of the irradiated wheat-rye 6 RLKuditelosomic addition line.Genotyping using the wheat GBW16K array and specific markers revealed that approximately 104.03 Mb of the distal segment of 6 RLKureplaced approximately6.1 Mb of the distal segment of the long arm of 6 B(6 BL)to form the translocation chromosome.OligoFISH painting indicated that the 104.03 Mb segment of 6 RLKuis homologous to homoeologous group 7 chromosomes.Using wheat cultivars Chuanmai 62(CM62)and Chuannong 32(CN32)as backcross parents,we transferred the T6 BS.6 BL-6 RLKuchromosome into the two wheat backgrounds.We selected two translocation lines:CM62-6 RL and CN32-6 RL.Genotyping analysis indicated that the CM62-6 RL and CN32-6 RL genomes are highly similar to those of CM62 and CN32,respectively.The grains of CM62-6 RL were shriveled,whereas those of CN32-6 RL were full.The effect of the T6 BS.6 BL-6 RLKuchromosome on grain width also depended on the genetic background of the wheat.The improved grain lengths of both CM62-6 RL and CN32-6 RL contributed to the improvement in their thousand-kernel weight.The translocation chromosome had no negative effects on other important agronomic traits.These findings highlight the potential breeding value of the wheat-rye 6R translocation chromosome T6 BS.6 BL-6 RLKu.The compensation mechanisms of this translocation chromosome in different wheat backgrounds deserve further study.展开更多
Gd3+-sensitized Tb3+-based glasses are high light-yield scintillators.Energy transfer sensitization between Gd3+and Tb3+is well-recognized.Gd3+ions are also found to typically modulate the interionic di...Gd3+-sensitized Tb3+-based glasses are high light-yield scintillators.Energy transfer sensitization between Gd3+and Tb3+is well-recognized.Gd3+ions are also found to typically modulate the interionic distances of Tb3+ions;however,the mechanism why this effect enhances the latter’s photo luminescence still remains unclear.This work focuses on Gd3+,Tb3+co-doped La2O3-B2O3-SiO2(LBSO),first demonstrating Tb3+clusters via spectroscopy.LBSO’s optimal Tb3+single-doping concentration is 37%,rising to 50%with 20%Gd3+.The LBSO:20%Gd3+,50%Tb3+sample exhibits a 542 nm emission intensity 2.22 times that of the 37%Tb3+single-doped sample,38%scintillation efficiency(vs.BGO),and>20 lp mm-1 X-ray resolution.The introduction of Gd3+increases the interionic distance between Tb3+ions within the clusters,thereby suppressing the concentration quenching effect and enhancing the fluorescence emission.We propose this mechanism as“cluster-dispersion sensitization effect”.This effect was further confirmed in other glass systems(LBSO:Lu3+,Tb3+,LBSO:Y3+,Tb3+,Bi-based:Lu3+,Tb3+,etc.).Spectroscopic analysis shows Gd3+-Tb3+energy transfer efficiency up to 80%.In conclusion,Gd3+synergistically enhances Tb3+fluorescence via both effects.These findings not only fully elucidate the sensitization mechanism of Gd3+ions in Gd3+,Tb3+co-doped scintillating glasses but also provide new insights for researching the manipulation of activator ion clusters in luminescent materials.In search for novel scintillators,cluster-dispersion sensitization effect may greatly improve their spatial resolution via intrinsic artichtectures design in glasses,ceramics,thin films,and nanoparticles.展开更多
NaCu0.2Fe0.3Mn0.5O2 (NCFM) cathode material was synthesized using a simple solid-state reaction, and the effect of calcination temperature on its interlayer spacing and oxygen vacancies concentration was i...NaCu0.2Fe0.3Mn0.5O2 (NCFM) cathode material was synthesized using a simple solid-state reaction, and the effect of calcination temperature on its interlayer spacing and oxygen vacancies concentration was investigated. Through electrochemical testing and material characterizations, higher calcination temperatures increase the electrostatic repulsion between oxygen atoms in adjacent layers, resulting in an expansion of Na layer spacing. This structural change enhances the diffusion kinetics of Na+, thereby significantly improving the rate performance of NCFM. Furthermore, elevated calcination temperatures facilitate the reduction of oxygen vacancies, leading to improved crystallinity. This enhancement in crystallinity mitigates structural strain during phase transitions, contributing to improved cyclic stability. Consequently, the optimized NCFM shows an initial discharge specific capacity of 143.3 mA·h/g at 0.1C, with a capacity retention rate of 79.28% after 100 cycles at 1C.展开更多
The temporal pole(TP),one of the most expanded cortical regions in humans relative to other primates,plays a crucial role in human language processing.It is also one of the most structurally and functionally asymmetri...The temporal pole(TP),one of the most expanded cortical regions in humans relative to other primates,plays a crucial role in human language processing.It is also one of the most structurally and functionally asymmetric regions.However,whether the functional architecture of the TP is shared by humans and macaques is an open question.We used spectral clustering algorithms to define a cross-species fine-grained TP atlas with different anatomical connectivity patterns.We identified three similar subregions,two ventral and one dorsal,within the TP in both humans and macaques.The parcellation scheme for the TP was validated using functional gradient mapping,anatomical connectivity and resting-state functional connectivity pattern analysis,and functional characterization.Furthermore,in conjunction with the Allen Human Brain Atlas,we revealed the molecular basis for the functional connectivity patterns of each human TP subregion.In addition,we compared the hemispheric asymmetry in mean gray matter volume,anatomical connectivity fingerprints,and whole brain functional connectivity patterns to reveal the evolutionary differences in the TP and found different asymmetric patterns between humans and macaques.In conclusion,our findings reveal that the asymmetry in structure and connectivity may underpin the hemispheric functional specialization of the brain and provide a novel insight into understanding the evolutionary origin of the TP.展开更多
Ultrasonic imaging technology(UIT) has emerged as a pivotal non-destructive detection method for lithium ion batteries(LIBs),addressing critical challenges in ensuring battery safety and performance.This review compre...Ultrasonic imaging technology(UIT) has emerged as a pivotal non-destructive detection method for lithium ion batteries(LIBs),addressing critical challenges in ensuring battery safety and performance.This review comprehensively explores the working principles of UIT, including ultrasonic reflection,refraction,and attenuation,and its applications in LIB inspection.It systematically elaborates on the advancements and applications of UIT for high-resolution imaging of electrode microstructures,realtime monitoring of electrolyte wetting and dry-out,and precise detection of defects such as lithium plating,gas evolution,and electrode delamination.We also discuss the non-invasive assessment of state-ofcharge and state-of-health of LIBs by correlating acoustic properties with structural changes during battery cycling.Comparative analyses highlight the superiority of UIT over traditional destructive methods and complementary technologies.Furthermore,this review rigorously examines the current challenges and future development prospects of UIT.Despite challenges in resolving nanoscale defects and adapting to complex battery architectures,UIT shows promise when integrated with AI-driven data analysis and advanced transducers.Finally,we also envision emerging applications of UIT in the broader renewable energy sector,aiming to provide scientific insights for optimizing manufacturing,lifecycle management,and safety assurance of the battery industry.展开更多
The limited onboard cache and computing resources significantly constrain the computational service capabilities of individual edge satellites in hotspot regions.To address this challenge,we propose a twotier cloud-ed...The limited onboard cache and computing resources significantly constrain the computational service capabilities of individual edge satellites in hotspot regions.To address this challenge,we propose a twotier cloud-edge computing architecture that organizes edge satellites and their associated ground clouds into multiple collaborative domains.Within each domain,we formulate a joint optimization problem for computation offloading and service downloading under the constraints of edge satellites’service deployment and caching space,aiming to minimize the sum of weighted energy consumption and latency.The originally non-convex problem is transformed into a more tractable convex optimization formulation through variable relaxation.Subsequently,we develop an alternating direction method of multipliers(ADMM)-based distributed optimization framework that enables cooperative decision-making among domain satellites for the optimization of computational offloading,service downloading,and service deleting variables.Additionally,we propose an innovative binary variable recovery algorithm that ensures feasible conversion from continuous solutions to discrete decision variables while preserving constraint satisfaction.Extensive simulations demonstrate that our approach achieves lower task execution cost and packet loss rate compared with benchmarks.展开更多
AIM:To analyze the etiologies,disease course,clinical characteristics,and surgical management patterns of nontraumatic corneal perforation in China.METHODS:This multicenter,retrospective study reviewed medical records...AIM:To analyze the etiologies,disease course,clinical characteristics,and surgical management patterns of nontraumatic corneal perforation in China.METHODS:This multicenter,retrospective study reviewed medical records from patients with non-traumatic corneal perforation treated at 16 tertiary hospitals in China from 2019 to 2021.Data collected included demographics,etiology,disease duration,perforation location,visual acuity Non-traumatic corneal perforation on admission,and surgical procedures.RESULTS:A total of 796 eyes from 791 patients were included,comprising 271 women(34.2%)and 520 men(65.7%),with a mean age of 58.4±15.6y(range,0.38-92y).Infectious keratitis was the leading cause(62.6%),followed by postoperative complications(12.8%)and autoimmune diseases(8.7%).Fungal infections were more prevalent in rural areas,while autoimmune-related perforations were more common in females.Autoimmune cases more frequently presented with a chronic disease course and better visual acuity at admission compared to infectious causes(P<0.001).Among infectious causes,viral keratitis exhibited the highest proportion of chronic cases(65.7%).Perforation location varied significantly by etiology,with infectious cases predominantly central and autoimmune cases more often peripheral or limbal(P<0.001).Overall,88.3%of eyes presented with poor visual acuity on admission.Most eyes(90.0%)required surgical intervention.Penetrating keratoplasty was the most common procedure,especially for central perforations,while lamellar keratoplasty was preferred for peripheral and autoimmune-related cases.CONCLUSION:This nationwide,multicenter study provides a comprehensive epidemiologic characterization of non-traumatic corneal perforation.Infectious keratitis was identified as the predominant etiology.Distinct patterns in disease progression,perforation location,and surgical intervention were observed across etiologic subgroups.These findings underscore the relevance of etiologystratified assessment and support the need for tailored clinical management strategies.展开更多
The Intelligent Internet of Things(IIoT)involves real-world things that communicate or interact with each other through networking technologies by collecting data from these“things”and using intelligent approaches,s...The Intelligent Internet of Things(IIoT)involves real-world things that communicate or interact with each other through networking technologies by collecting data from these“things”and using intelligent approaches,such as Artificial Intelligence(AI)and machine learning,to make accurate decisions.Data science is the science of dealing with data and its relationships through intelligent approaches.Most state-of-the-art research focuses independently on either data science or IIoT,rather than exploring their integration.Therefore,to address the gap,this article provides a comprehensive survey on the advances and integration of data science with the Intelligent IoT(IIoT)system by classifying the existing IoT-based data science techniques and presenting a summary of various characteristics.The paper analyzes the data science or big data security and privacy features,including network architecture,data protection,and continuous monitoring of data,which face challenges in various IoT-based systems.Extensive insights into IoT data security,privacy,and challenges are visualized in the context of data science for IoT.In addition,this study reveals the current opportunities to enhance data science and IoT market development.The current gap and challenges faced in the integration of data science and IoT are comprehensively presented,followed by the future outlook and possible solutions.展开更多
Androgen insensitivity syndrome(AIS;Online Mendelian Inheritance in Man[OMIM;#300068])is an X-linked recessive disorder caused by pathogenic variants in the androgen receptor(AR)gene located in the Xq11-q13 region.In ...Androgen insensitivity syndrome(AIS;Online Mendelian Inheritance in Man[OMIM;#300068])is an X-linked recessive disorder caused by pathogenic variants in the androgen receptor(AR)gene located in the Xq11-q13 region.In this retrospective study of 30 patients with AIS,next-generation sequencing identified 24 variants in AR,including 20 missense,1 nonsense,and 3 splice-site variants.Seven novel variants were detected in 8 patients.Of the 24 variants,15 were classified as likely pathogenic,8 as pathogenic,and 1 as of uncertain significance.Variants included 5 de novo and 24 familial cases.These AR variants were predominantly located in the functional domains,with the ligand-binding domain(LBD)harboring 10 variants,the DNA-binding domain(DBD)harboring 5 variants,the N-terminal domain(NTD)harboring 2 variants,and the hinge region(HR)harboring 1 variant.The highest variant detection rate occurred in exon 5(11/30),followed by exon 3(9/30).These findings advance our understanding of genotype including 20 missense,1 nonsense,and 3 splice-site variants through the identification of 7 novel variants.展开更多
The infinite-layer nickelates,proposed as analogs to superconducting cuprates,provide a promising platform for exploring the mechanisms of unconventional superconductivity.However,the superconductivity has been exclus...The infinite-layer nickelates,proposed as analogs to superconducting cuprates,provide a promising platform for exploring the mechanisms of unconventional superconductivity.However,the superconductivity has been exclusively observed in thin films under atmospheric pressure,underscoring the critical role of the heterointerface.展开更多
It remains a challenge to stabilize a nonlinear system while satisfying time-varying state constraints for safety.In this study,we developed a time-varying nonlinear control barrier function(TVNCBF)approach to stabili...It remains a challenge to stabilize a nonlinear system while satisfying time-varying state constraints for safety.In this study,we developed a time-varying nonlinear control barrier function(TVNCBF)approach to stabilize a nonlinear system with high-relative-degree state constraints.This approach mitigated potential conflicts among multiple control barrier function constraints,providing a theoretical foundation for safety control of affine nonlinear systems.We then proposed a safety control strategy for nonlinear systems and comprehensively analyzed its safety and feasibility.At the same time,considering a scenario where an unmanned aerial vehicle(UAV)avoids several dynamic obstacles during target tracking,we designed a direct safety control for the UAV system to ensure safe target tracking.Simulation results demonstrated the safety and stability of the UAV system under the proposed control strategy.展开更多
Field-effect nanofluidic transistors(FENTs),biomimicking the structure and functionality of neuron,act as biological transistors with the ability to gate switching responses to external stimuli.The switching ratio has...Field-effect nanofluidic transistors(FENTs),biomimicking the structure and functionality of neuron,act as biological transistors with the ability to gate switching responses to external stimuli.The switching ratio has been verified to evaluate the performance of FENTs,but until recently,the response time,another crucial indicator,has been ignored.Employing finite-element method,we investigated the relationship among gate charge,switching ratio and response time by divisionally manipulating gate charge,including entrance surface and the surface of confinement space,for ion transport to optimize switching capability.The dual-split gate charge on FENTs exhibits synergistic effect on switching response.Based on the two regional gate charge on FENTs,multivalence ions in lower concentration,high aspect ratio and single channel show higher switching ratio but longer response time compared to monovalent ions.The findings highlight the necessity of balancing these two signals in FENTs and offer insights for optimizing their design and expanding applications to dual-signal-detection iontronics.展开更多
NiFe-based MIL-55 metal-organic frameworks(MOFs)face challenges in achieving atomically precise composition and reliable methods for uniform growth.This study addresses these challenges by applying a slow evaporation ...NiFe-based MIL-55 metal-organic frameworks(MOFs)face challenges in achieving atomically precise composition and reliable methods for uniform growth.This study addresses these challenges by applying a slow evaporation crystallization technique to crude colloidal MIL-55 products from hydrothermal synthesis,resulting in highly uniform,hexagonal pyramid-shaped NiFeMIL-55 nanorods(NRs).In contrast,isolating MIL-55 through antisolvent precipitation leads to irregular shapes,highlighting the critical role of the crystallization method.This shape control enables single-particle analysis,revealing tunable atomic compositions ranging from Ni1Fe9to Ni9Fe1by adjusting the Ni2+/Fe3+precursor ratios.A volcano-type morphology plot illustrates the role of the Ni-BDC framework in shape control,where Ni4Fe6to Ni8Fe2compositions produce uniform NRs,whereas others yield mixed or irregular morphologies.The electrocatalytic oxygen evolution reaction(OER)and supercapacitor performances of these NRs were evaluated,with Ni7Fe3-MIL-55 showing the best OER performance,including a low overpotential of 230 mV at 10 mA cm-2and a Tafel slope of 64 mV dec-1.It also demonstrates excellent stability,retaining 82%of its OER activity over 50 h,as well as superior supercapacitor performance(571 F g-1at 1 A g-1),making it a promising dualfunction material.Density functional theory(DFT)calculations reveal that Ni7Fe3has the lowest limiting potential(0.52 V)compared to its single-metal counterparts,explaining its enhanced OER activity.This work provides a strategy for atomically precise MOF nanostructure design,offering valuable insights into electrocatalytic behavior and guiding the development of materials for renewable-energy technologies.展开更多
Herein,we present novel heterotrispin compounds[Cp*2LnⅢ(m-bpym)CoⅡ(nacnac)][BPh4](2-Ln,Ln=Gd,Dy;Cp*=pentamethylcyclopentadienyl;bpym=2,2'-bipyrimidine;nacnac=CH[C(Me)N(2,6-iPr2C6H3)]2)...Herein,we present novel heterotrispin compounds[Cp*2LnⅢ(m-bpym)CoⅡ(nacnac)][BPh4](2-Ln,Ln=Gd,Dy;Cp*=pentamethylcyclopentadienyl;bpym=2,2'-bipyrimidine;nacnac=CH[C(Me)N(2,6-iPr2C6H3)]2)which feature the simplest 3d-radical-4f model.These compounds were isolated by mixing[Cp*2LnⅢ(m-bpym)][BPh4](1-Ln)with[(nacnac)CoⅠ(toluene)]in tetrahydrofuran(THF).The monovalent cobalt compound in the reaction acts as both a reducing agent and a transition metal source.Single-crystal X-ray crystallography and UV/vis-NIR spectroscopy confirm the existence of bpym·-radical.Magnetic investigations and computational studies reveal that the overall ferromagnetic behaviors in 2-Ln are attributed to the strong antiferromagnetic coupling of the metal centers with the bpym·-radical.Compounds 1-Dy and 2-Dy share similar coordination environments,and both exhibit single-molecule magnet(SMM)behaviour.In the case of 2-Dy,strong exchange interactions result in significantly reduced quantum tunneling of magnetization(QTM),allowing a considerable enhancement of relaxation times by around 30000-fold increase,compared to compound 1-Dy.Importantly,the 100-s magnetic blocking temperature(TB(100s))for compound 2-Dy is up to 4.1 K,which,as far as we know,is the highest temperature reported to date for any 3d-radical-4f SMMs.The hysteresis loops for compound1-Dy are butterfly-shaped,and the loops are closed at zero field,due to fast relaxation.In contrast,compound 2-Dy exhibits open hysteresis loops up to 7 K.Ab initio calculations were performed to investigate the relaxation mechanism,revealing that the extracted energy barrier of 2-Dy is a multilevel exchange type rather than originating from excited Kramers doublets on individual metal ions.These results provide a facile route to access 3d-radical-4f compounds,and further reveal the opportunities for the design and synthesis of high-performing 3d-radical-4f SMMs.展开更多
基金supported by the National Natural Science Foundation of China(22261142663,U25A20582,22225606)Jiangsu Technology Innovation Center of Advanced Medical Devices(BM2022012).
摘要The pollutants emitted from industrial facilities seriously affect the atmospheric environment and human health.Accurately detecting lowconcentration gas pollutants by single metal oxide gas sensors remains a significant challenge.In this study,we developed a novel electronic nose system to precisely discriminate components and concentrations of single and binary gas mixtures.The specific sensor array was constructed with six sensors based on SnO2and Co3O4sensing materials.The dataset collected from the electronic nose system was analyzed using k-nearest neighbor(KNN),support vector machine(SVM),random forest(RF),and logistic regression(LR)algorithms.For low-concentration ethanol,ammonia,and toluene,the KNN model accurately discriminated gas components and concentrations,achieving a five-fold crossvalidation accuracy of 97.2%.As the number of sensors increased from 3 to 6,the accuracy for the types and concentrations of single and binary mixtures rose from 78.9%to 97.2%.The discrimination results for low-concentration gaseous pollutants demonstrate great potential for real atmospheric quality monitoring and provide an effective solution to the precise detection by metal oxide sensors.
基金supported by the IITP(Institute of Information & Communications Technology Planning & Evaluation)-ITRC(Information Technology Research Center) grant funded by the Korea government(Ministry of Science and ICT) (IITP-2025-RS-2024-00437191, and RS-2025-02303505)partly supported by the Korea Basic Science Institute (National Research Facilities and Equipment Center) grant funded by the Ministry of Education. (No. 2022R1A6C101A774)the Deanship of Research and Graduate Studies at King Khalid University, Saudi Arabia, through Large Research Project under grant number RGP-2/527/46
摘要The growing global energy demand and worsening climate change highlight the urgent need for clean,efficient and sustainable energy solutions.Among emerging technologies,atomically thin two-dimensional(2D)materials offer unique advantages in photovoltaics due to their tunable optoelectronic properties,high surface area and efficient charge transport capabilities.This review explores recent progress in photovoltaics incorporating 2D materials,focusing on their application as hole and electron transport layers to optimize bandgap alignment,enhance carrier mobility and improve chemical stability.A comprehensive analysis is presented on perovskite solar cells utilizing 2D materials,with a particular focus on strategies to enhance crystallization,passivate defects and improve overall cell efficiency.Additionally,the application of 2D materials in organic solar cells is examined,particularly for reducing recombination losses and enhancing charge extraction through work function modification.Their impact on dye-sensitized solar cells,including catalytic activity and counter electrode performance,is also explored.Finally,the review outlines key challenges,material limitations and performance metrics,offering insight into the future development of nextgeneration photovoltaic devices encouraged by 2D materials.
基金supported by the British Columbia Ministry of Forces through long-term annual contracts with University of British Columbia(Okanagan)(No.RE25SIR242)the Natural Sciences and Engineering Research Council of Canada(NSERC),Discovery Grants Program(No.RGPIN-2021-02628)+1 种基金supported by the China Postdoctoral Science Foundation(No.2024M760387)Heilongjiang Postdoctoral Financial Assistance(No.LBH-Z24062)。
摘要Extreme climate events(e.g.,heatwaves and droughts)are becoming increasingly frequent due to global climate change,which inevitably affects tree growth and various other ecological processes.While the impacts of droughts on these processes have been widely evaluated,the effects of heatwaves on tree growth and soil water content(SWC)remain poorly understood,particularly those related to thinning treatment.In this study,we evaluated the impacts of the 2021 Pacific Northwest Heatwave and thinning on forest growth and SWC,as well as assessed how thinning might mitigate the heatwave's impacts in lodgepole pine forests in British Columbia,Canada.We measured meteorological data(air temperature,rainfall,solar radiation(SR),relative humidity(RH),and wind speed(Ws),sap flow,SWC,soil temperature(Ts),and tree diameters at the breast height(DBH)during the growing season(June–September)in the control(27,000 stems·ha-1),lightly thinned(4,500 stems·ha-1),and heavily thinned(1,100 stems·ha-1)experimental plots from 2018 to 2024.We found that thinning persistently and significantly(p<0.05)increased individual tree growth,with the most pronounced effects in the heavily thinned stands.The 2021 Pacific Northwest Heatwave led to an exceptionally hot growing season,significantly(p<0.05)reducing forest growth and SWC across all plots.Forest growth recovered in 2022 in the thinned plots but remained suppressed in the unthinned plots,suggesting that thinning effectively mitigated the impact of the heatwave on forest growth,while the heatwave's impacts were persistent in the unthinned plots.Our study highlights that thinning is a practical management strategy for improving tree growth and supporting climate change adaptation to extreme climate events.
摘要A clear goal in cold tumor research is to identify strategies for converting them into immunologically‘hot’tumors with enhanced immune cell infiltration and activity,thereby improving their responsiveness to immunotherapy.The genesis of cold tumors is exceedingly intricate.In recent times,as the analysis of this phenomenon has been pursued with greater depth,a suite of advanced diagnostic and therapeutic technologies has surfaced.These novel approaches and tactics are anticipated to modulate the tumor immune microenvironment across various dimensions,thereby facilitating the advancement of personalized and precise treatment modalities for cold tumors.The present article addresses the challenge of diminished therapeutic responsiveness to“cold tumors”within clinical settings.It systematically elucidates the multi-faceted regulatory mechanisms underlying immune evasion in cold tumors and offers a detailed analysis of advanced therapeutic strategies that incorporate nanotechnology,gene editing,and artificial intelligence methodologies.Furthermore,the future development trends of immunotherapy were explored in greater depth.It was posited that the convergence of artificial intelligence,multidimensional genomics,and emerging biotechnologies has presented positive prospects for the treatment of cold tumors,and has offered a theoretical foundation and technical framework for the transformation of cold tumors into“hot tumors”.
基金partly supported by National Natural Science Foundation of China under grant No.62372085,61802050Xinjiang Science and Technology Program(No.2022D01B185)the China Postdoctoral Science Foundation under Grant Number 2025M781461.
摘要Integrated Internet of Things(IoT)brings novel opportunities for pervasive smart services,as these systems al-low for seamless information and resource sharing among IoT devices.Meanwhile,Federated Learning(FL)has emerged as a new framework for distributed deployment of machine learning models and a promising approach for implementing intelligent IoT systems.However,integrated IoT systems are usually composed of diverse IoT devices from different systems,and thus their ownership,roles,data distribution,and capabilities are heteroge-neous.Current FL algorithms mainly focus on handling non-Independent and Identically Distributed(Non-IID)issues,but often result in reduced and unsustainable performance in integrated IoT systems.Therefore,we inves-tigate in this paper the problem of personalized and sustainable FL in integrated IoT systems.First,we argue that different parties in integrated IoT are heterogeneous and limited in available resources for FL,and these parties are also selfish and expect rational outcomes during cooperation,which is essential for guaranteeing the sustain-ability of integrated IoT.Then,this paper provides a novel framework for device selection in FL.It first sets one instance of the model for each device,and iteratively selects devices to participate in model training based on the joint consideration of local model accuracy,similarity of parameters,and remaining resources per device.The proposed method guarantees the rational allocation of resources to maintain balanced model performance across all devices.In this way,the sustainability of the whole IoT system is improved such that no devices will suffer extreme resource exhaustion or poor performance.Finally,extensive evaluation is conducted to validate the advanced performance of the proposed method in integrated IoT systems.
基金supported by the Key Laboratory of Sichuan Province for Lithium Resources Comprehensive Utilization and New Lithium Based Materials for Advanced Battery Technology(LRMKF202405)the National Natural Science Foundation of China(52402226)the Natural Science Foundation of Sichuan Province(2024NSFSC1016).
摘要Coal-derived hard carbon(HC)represents a promising anode material for sodium-ion batteries owing to its cost-effectiveness and high carbon yield.However,conventional carbonization induces excessive graphitization,yielding insufficient interlayer spacing(d002<0.37 nm)and underdeveloped closed pores.Herein,we propose a dynamic crystallization control strategy through carbothermal shock treatment(1300°C,30 s)that decouples thermodynamic and kinetic constraints.This method precisely modulates graphite domain ordering kinetics,producing short-range ordered structures with expanded interlayer spacing(d002=0.385 nm)and homogeneously distributed closed nanopores.Through combined in situ characterization and first-principles calculations,we elucidate a three-stage crystallization mechanism:(i)amorphous carbon transformation,(ii)open-pore collapse,and(iii)pseudo-graphitic ordering.The optimized HC achieves record performance with 88.6%initial Coulombic efficiency and 204 mA h g−1plateau capacity,while its optimal interlayer spacing lowers Na+diffusion barriers to enable exceptional rate capability(221 mA h g−1at 0.5C after 300 cycles).Practical pouch cells maintain 85%capacity retention after 100 cycles at−20°C and deliver 284 Wh kg−1energy density.This work establishes a kinetic regulation paradigm for graphitization-prone precursors,advancing the rational design of high-performance HC anodes.
基金supported by the National Key Research and Development Program of China(2024YFD1201202)the National Natural Science Foundation of China(31770373)。
摘要Rye(Secale cereale L.)contains numerous disease resistance genes that can be utilized for wheat(Triticum aestivum)improvement.For example,rye chromosome 6 carries powdery mildew resistance genes.Wheat-rye 6R translocation lines are highly useful,but more wheat-rye 6R translocation lines with potential breeding value are needed.In this study,we identified a new wheat-rye T6 BS.6 BL-6 RLKutranslocation chromosome,conferring powdery mildew resistance,from the progeny of the irradiated wheat-rye 6 RLKuditelosomic addition line.Genotyping using the wheat GBW16K array and specific markers revealed that approximately 104.03 Mb of the distal segment of 6 RLKureplaced approximately6.1 Mb of the distal segment of the long arm of 6 B(6 BL)to form the translocation chromosome.OligoFISH painting indicated that the 104.03 Mb segment of 6 RLKuis homologous to homoeologous group 7 chromosomes.Using wheat cultivars Chuanmai 62(CM62)and Chuannong 32(CN32)as backcross parents,we transferred the T6 BS.6 BL-6 RLKuchromosome into the two wheat backgrounds.We selected two translocation lines:CM62-6 RL and CN32-6 RL.Genotyping analysis indicated that the CM62-6 RL and CN32-6 RL genomes are highly similar to those of CM62 and CN32,respectively.The grains of CM62-6 RL were shriveled,whereas those of CN32-6 RL were full.The effect of the T6 BS.6 BL-6 RLKuchromosome on grain width also depended on the genetic background of the wheat.The improved grain lengths of both CM62-6 RL and CN32-6 RL contributed to the improvement in their thousand-kernel weight.The translocation chromosome had no negative effects on other important agronomic traits.These findings highlight the potential breeding value of the wheat-rye 6R translocation chromosome T6 BS.6 BL-6 RLKu.The compensation mechanisms of this translocation chromosome in different wheat backgrounds deserve further study.
基金supported by the National Natural Science Foundation of China(51972061,U1905215,and M-0755)the National Key Research and Development Program of China(2020YFA0710303)+2 种基金the Natural Science Foundation of Fujian Province(2022J01088,2024J08075)the Shenzhen Science and Technology Program(KJZD20240903103201003)the International(Regional)Cooperation and Exchange Projects of the National Natural Science Foundation of China(52220105010)。
摘要Gd3+-sensitized Tb3+-based glasses are high light-yield scintillators.Energy transfer sensitization between Gd3+and Tb3+is well-recognized.Gd3+ions are also found to typically modulate the interionic distances of Tb3+ions;however,the mechanism why this effect enhances the latter’s photo luminescence still remains unclear.This work focuses on Gd3+,Tb3+co-doped La2O3-B2O3-SiO2(LBSO),first demonstrating Tb3+clusters via spectroscopy.LBSO’s optimal Tb3+single-doping concentration is 37%,rising to 50%with 20%Gd3+.The LBSO:20%Gd3+,50%Tb3+sample exhibits a 542 nm emission intensity 2.22 times that of the 37%Tb3+single-doped sample,38%scintillation efficiency(vs.BGO),and>20 lp mm-1 X-ray resolution.The introduction of Gd3+increases the interionic distance between Tb3+ions within the clusters,thereby suppressing the concentration quenching effect and enhancing the fluorescence emission.We propose this mechanism as“cluster-dispersion sensitization effect”.This effect was further confirmed in other glass systems(LBSO:Lu3+,Tb3+,LBSO:Y3+,Tb3+,Bi-based:Lu3+,Tb3+,etc.).Spectroscopic analysis shows Gd3+-Tb3+energy transfer efficiency up to 80%.In conclusion,Gd3+synergistically enhances Tb3+fluorescence via both effects.These findings not only fully elucidate the sensitization mechanism of Gd3+ions in Gd3+,Tb3+co-doped scintillating glasses but also provide new insights for researching the manipulation of activator ion clusters in luminescent materials.In search for novel scintillators,cluster-dispersion sensitization effect may greatly improve their spatial resolution via intrinsic artichtectures design in glasses,ceramics,thin films,and nanoparticles.
基金supported by the National Natural Science Foundation of China(No.12175089)the Key Research and Development Program of Yunnan Province,China(No.202103AF140006)+2 种基金Basic Research Programs of Yunnan Provincial Science and Technology Department,China(Nos.202001AW070004,202301AS070051,202401AV070008)Yunnan Industrial Innovative Talents Program for“Xingdian Talent Support Plan”,China(No.KKXY202252001)Yunnan Major Scientific and Technological Projects,China(No.202202AG050003)。
摘要NaCu0.2Fe0.3Mn0.5O2 (NCFM) cathode material was synthesized using a simple solid-state reaction, and the effect of calcination temperature on its interlayer spacing and oxygen vacancies concentration was investigated. Through electrochemical testing and material characterizations, higher calcination temperatures increase the electrostatic repulsion between oxygen atoms in adjacent layers, resulting in an expansion of Na layer spacing. This structural change enhances the diffusion kinetics of Na+, thereby significantly improving the rate performance of NCFM. Furthermore, elevated calcination temperatures facilitate the reduction of oxygen vacancies, leading to improved crystallinity. This enhancement in crystallinity mitigates structural strain during phase transitions, contributing to improved cyclic stability. Consequently, the optimized NCFM shows an initial discharge specific capacity of 143.3 mA·h/g at 0.1C, with a capacity retention rate of 79.28% after 100 cycles at 1C.
基金supported by the Yunnan Fundamental Research Projects(202501AV070005 and 202201BE070001-004).
摘要The temporal pole(TP),one of the most expanded cortical regions in humans relative to other primates,plays a crucial role in human language processing.It is also one of the most structurally and functionally asymmetric regions.However,whether the functional architecture of the TP is shared by humans and macaques is an open question.We used spectral clustering algorithms to define a cross-species fine-grained TP atlas with different anatomical connectivity patterns.We identified three similar subregions,two ventral and one dorsal,within the TP in both humans and macaques.The parcellation scheme for the TP was validated using functional gradient mapping,anatomical connectivity and resting-state functional connectivity pattern analysis,and functional characterization.Furthermore,in conjunction with the Allen Human Brain Atlas,we revealed the molecular basis for the functional connectivity patterns of each human TP subregion.In addition,we compared the hemispheric asymmetry in mean gray matter volume,anatomical connectivity fingerprints,and whole brain functional connectivity patterns to reveal the evolutionary differences in the TP and found different asymmetric patterns between humans and macaques.In conclusion,our findings reveal that the asymmetry in structure and connectivity may underpin the hemispheric functional specialization of the brain and provide a novel insight into understanding the evolutionary origin of the TP.
基金Science and Technology Department of Zhejiang Province(Grant No.2023C01231)Natural Science Foundation of Zhejiang Province(Grant No.LD25E020003,LQ23E020009)+7 种基金National Natural Science Foundation of China(Grant Nos.52372235,U20A20253,22379020,22279116)Key Scientific Research Project of Hangzhou(Grant No.2024SzD1B12)State Key Laboratory of New Textile Materials and Advanced Processing Technologies(Grant No.FZ2024009)Science and Technology Project of Huzhou(Grant No.2024GZ02)National Science Foundation of Sichuan Province(Grant No.2024NSFSC0951)Zhejiang Provincial Postdoctoral Research Project(Grant No.ZJ2023080)China Postdoctoral Science Foundation(2024M750347)Key Laboratory of Engineering Dielectrics and Its Application(Harbin University of Science and Technology),Ministry of Education(Grant No.KFM 202303)。
摘要Ultrasonic imaging technology(UIT) has emerged as a pivotal non-destructive detection method for lithium ion batteries(LIBs),addressing critical challenges in ensuring battery safety and performance.This review comprehensively explores the working principles of UIT, including ultrasonic reflection,refraction,and attenuation,and its applications in LIB inspection.It systematically elaborates on the advancements and applications of UIT for high-resolution imaging of electrode microstructures,realtime monitoring of electrolyte wetting and dry-out,and precise detection of defects such as lithium plating,gas evolution,and electrode delamination.We also discuss the non-invasive assessment of state-ofcharge and state-of-health of LIBs by correlating acoustic properties with structural changes during battery cycling.Comparative analyses highlight the superiority of UIT over traditional destructive methods and complementary technologies.Furthermore,this review rigorously examines the current challenges and future development prospects of UIT.Despite challenges in resolving nanoscale defects and adapting to complex battery architectures,UIT shows promise when integrated with AI-driven data analysis and advanced transducers.Finally,we also envision emerging applications of UIT in the broader renewable energy sector,aiming to provide scientific insights for optimizing manufacturing,lifecycle management,and safety assurance of the battery industry.
基金supported by the National Natural Science Foundation of China under Grant 62371098.
摘要The limited onboard cache and computing resources significantly constrain the computational service capabilities of individual edge satellites in hotspot regions.To address this challenge,we propose a twotier cloud-edge computing architecture that organizes edge satellites and their associated ground clouds into multiple collaborative domains.Within each domain,we formulate a joint optimization problem for computation offloading and service downloading under the constraints of edge satellites’service deployment and caching space,aiming to minimize the sum of weighted energy consumption and latency.The originally non-convex problem is transformed into a more tractable convex optimization formulation through variable relaxation.Subsequently,we develop an alternating direction method of multipliers(ADMM)-based distributed optimization framework that enables cooperative decision-making among domain satellites for the optimization of computational offloading,service downloading,and service deleting variables.Additionally,we propose an innovative binary variable recovery algorithm that ensures feasible conversion from continuous solutions to discrete decision variables while preserving constraint satisfaction.Extensive simulations demonstrate that our approach achieves lower task execution cost and packet loss rate compared with benchmarks.
基金Supported by the National Key R&D Program of China(No.2019YFC0840708)the Zhejiang Province Leading Geese Plan(No.2024C03206)+2 种基金the Science and Technology Plan Project of Wenzhou Municipality(No.Y20211005)the Centralized Guided Local Science and Technology Development Funds Project of China(No.ZYYD2024CG16)the Ningbo Top Medical and Health Research Program(No.2023030716).
摘要AIM:To analyze the etiologies,disease course,clinical characteristics,and surgical management patterns of nontraumatic corneal perforation in China.METHODS:This multicenter,retrospective study reviewed medical records from patients with non-traumatic corneal perforation treated at 16 tertiary hospitals in China from 2019 to 2021.Data collected included demographics,etiology,disease duration,perforation location,visual acuity Non-traumatic corneal perforation on admission,and surgical procedures.RESULTS:A total of 796 eyes from 791 patients were included,comprising 271 women(34.2%)and 520 men(65.7%),with a mean age of 58.4±15.6y(range,0.38-92y).Infectious keratitis was the leading cause(62.6%),followed by postoperative complications(12.8%)and autoimmune diseases(8.7%).Fungal infections were more prevalent in rural areas,while autoimmune-related perforations were more common in females.Autoimmune cases more frequently presented with a chronic disease course and better visual acuity at admission compared to infectious causes(P<0.001).Among infectious causes,viral keratitis exhibited the highest proportion of chronic cases(65.7%).Perforation location varied significantly by etiology,with infectious cases predominantly central and autoimmune cases more often peripheral or limbal(P<0.001).Overall,88.3%of eyes presented with poor visual acuity on admission.Most eyes(90.0%)required surgical intervention.Penetrating keratoplasty was the most common procedure,especially for central perforations,while lamellar keratoplasty was preferred for peripheral and autoimmune-related cases.CONCLUSION:This nationwide,multicenter study provides a comprehensive epidemiologic characterization of non-traumatic corneal perforation.Infectious keratitis was identified as the predominant etiology.Distinct patterns in disease progression,perforation location,and surgical intervention were observed across etiologic subgroups.These findings underscore the relevance of etiologystratified assessment and support the need for tailored clinical management strategies.
基金supported in part by the National Natural Science Foundation of China under Grant 62371181in part by the Changzhou Science and Technology International Cooperation Program under Grant CZ20230029+1 种基金supported by a National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(2021R1A2B5B02087169)supported under the framework of international cooperation program managed by the National Research Foundation of Korea(2022K2A9A1A01098051)。
摘要The Intelligent Internet of Things(IIoT)involves real-world things that communicate or interact with each other through networking technologies by collecting data from these“things”and using intelligent approaches,such as Artificial Intelligence(AI)and machine learning,to make accurate decisions.Data science is the science of dealing with data and its relationships through intelligent approaches.Most state-of-the-art research focuses independently on either data science or IIoT,rather than exploring their integration.Therefore,to address the gap,this article provides a comprehensive survey on the advances and integration of data science with the Intelligent IoT(IIoT)system by classifying the existing IoT-based data science techniques and presenting a summary of various characteristics.The paper analyzes the data science or big data security and privacy features,including network architecture,data protection,and continuous monitoring of data,which face challenges in various IoT-based systems.Extensive insights into IoT data security,privacy,and challenges are visualized in the context of data science for IoT.In addition,this study reveals the current opportunities to enhance data science and IoT market development.The current gap and challenges faced in the integration of data science and IoT are comprehensively presented,followed by the future outlook and possible solutions.
基金supported by the Sichuan Science and Technology Program(No.2022JDZH0029 to JYY).
摘要Androgen insensitivity syndrome(AIS;Online Mendelian Inheritance in Man[OMIM;#300068])is an X-linked recessive disorder caused by pathogenic variants in the androgen receptor(AR)gene located in the Xq11-q13 region.In this retrospective study of 30 patients with AIS,next-generation sequencing identified 24 variants in AR,including 20 missense,1 nonsense,and 3 splice-site variants.Seven novel variants were detected in 8 patients.Of the 24 variants,15 were classified as likely pathogenic,8 as pathogenic,and 1 as of uncertain significance.Variants included 5 de novo and 24 familial cases.These AR variants were predominantly located in the functional domains,with the ligand-binding domain(LBD)harboring 10 variants,the DNA-binding domain(DBD)harboring 5 variants,the N-terminal domain(NTD)harboring 2 variants,and the hinge region(HR)harboring 1 variant.The highest variant detection rate occurred in exon 5(11/30),followed by exon 3(9/30).These findings advance our understanding of genotype including 20 missense,1 nonsense,and 3 splice-site variants through the identification of 7 novel variants.
基金supported by the National Natural Science Foundation of China[52125307(to P.G.),12404192(to R.C.S),12274061(to L.Q.)]Key Research and Development Program from the Ministry of Science and Technology(2023YFA1406301)the support from the New Cornerstone Science Foundation through the XPLORER PRIZE。
摘要The infinite-layer nickelates,proposed as analogs to superconducting cuprates,provide a promising platform for exploring the mechanisms of unconventional superconductivity.However,the superconductivity has been exclusively observed in thin films under atmospheric pressure,underscoring the critical role of the heterointerface.
基金partially supported by the National Key Research and Development Program of China(2022YFE0133100)the State Key Program of National Natural Science Foundation of China(U21B2008)by the Sichuan Science and Technology Program(2024NSFSC0528)。
摘要It remains a challenge to stabilize a nonlinear system while satisfying time-varying state constraints for safety.In this study,we developed a time-varying nonlinear control barrier function(TVNCBF)approach to stabilize a nonlinear system with high-relative-degree state constraints.This approach mitigated potential conflicts among multiple control barrier function constraints,providing a theoretical foundation for safety control of affine nonlinear systems.We then proposed a safety control strategy for nonlinear systems and comprehensively analyzed its safety and feasibility.At the same time,considering a scenario where an unmanned aerial vehicle(UAV)avoids several dynamic obstacles during target tracking,we designed a direct safety control for the UAV system to ensure safe target tracking.Simulation results demonstrated the safety and stability of the UAV system under the proposed control strategy.
基金supported by the Natural Science Foundation of Guangdong Province,China (No.2025A1515011654)the National Natural Science Foundation of China (No.22090053)+3 种基金the Fundamental Research Funds for National Universities,China University of Geosciences (Wuhan)support from the program of China Scholarships Council (No.202406410155)Young Elite Scientists Sponsorship Program by CAST-Doctoral Student Special Plansupport from the S&T Special Program of Huzhou (No.2024GZ07)。
摘要Field-effect nanofluidic transistors(FENTs),biomimicking the structure and functionality of neuron,act as biological transistors with the ability to gate switching responses to external stimuli.The switching ratio has been verified to evaluate the performance of FENTs,but until recently,the response time,another crucial indicator,has been ignored.Employing finite-element method,we investigated the relationship among gate charge,switching ratio and response time by divisionally manipulating gate charge,including entrance surface and the surface of confinement space,for ion transport to optimize switching capability.The dual-split gate charge on FENTs exhibits synergistic effect on switching response.Based on the two regional gate charge on FENTs,multivalence ions in lower concentration,high aspect ratio and single channel show higher switching ratio but longer response time compared to monovalent ions.The findings highlight the necessity of balancing these two signals in FENTs and offer insights for optimizing their design and expanding applications to dual-signal-detection iontronics.
基金National Natural Science Foundation of China(NSFC,Grant No.22050410280)Chengdu Science and Technology Bureau(Grant No.2022YFWZ0004)+1 种基金the State Key Laboratory of Electronic Thin Films and Integrated Devices at the UESTCthe Chinese Scholarship council(CSC)for funding his doctoral studies.
摘要NiFe-based MIL-55 metal-organic frameworks(MOFs)face challenges in achieving atomically precise composition and reliable methods for uniform growth.This study addresses these challenges by applying a slow evaporation crystallization technique to crude colloidal MIL-55 products from hydrothermal synthesis,resulting in highly uniform,hexagonal pyramid-shaped NiFeMIL-55 nanorods(NRs).In contrast,isolating MIL-55 through antisolvent precipitation leads to irregular shapes,highlighting the critical role of the crystallization method.This shape control enables single-particle analysis,revealing tunable atomic compositions ranging from Ni1Fe9to Ni9Fe1by adjusting the Ni2+/Fe3+precursor ratios.A volcano-type morphology plot illustrates the role of the Ni-BDC framework in shape control,where Ni4Fe6to Ni8Fe2compositions produce uniform NRs,whereas others yield mixed or irregular morphologies.The electrocatalytic oxygen evolution reaction(OER)and supercapacitor performances of these NRs were evaluated,with Ni7Fe3-MIL-55 showing the best OER performance,including a low overpotential of 230 mV at 10 mA cm-2and a Tafel slope of 64 mV dec-1.It also demonstrates excellent stability,retaining 82%of its OER activity over 50 h,as well as superior supercapacitor performance(571 F g-1at 1 A g-1),making it a promising dualfunction material.Density functional theory(DFT)calculations reveal that Ni7Fe3has the lowest limiting potential(0.52 V)compared to its single-metal counterparts,explaining its enhanced OER activity.This work provides a strategy for atomically precise MOF nanostructure design,offering valuable insights into electrocatalytic behavior and guiding the development of materials for renewable-energy technologies.
基金supported by the National High-Level Young Talents Programthe National Natural Science Foundation of China(22371031,22131011,22488101)。
摘要Herein,we present novel heterotrispin compounds[Cp*2LnⅢ(m-bpym)CoⅡ(nacnac)][BPh4](2-Ln,Ln=Gd,Dy;Cp*=pentamethylcyclopentadienyl;bpym=2,2'-bipyrimidine;nacnac=CH[C(Me)N(2,6-iPr2C6H3)]2)which feature the simplest 3d-radical-4f model.These compounds were isolated by mixing[Cp*2LnⅢ(m-bpym)][BPh4](1-Ln)with[(nacnac)CoⅠ(toluene)]in tetrahydrofuran(THF).The monovalent cobalt compound in the reaction acts as both a reducing agent and a transition metal source.Single-crystal X-ray crystallography and UV/vis-NIR spectroscopy confirm the existence of bpym·-radical.Magnetic investigations and computational studies reveal that the overall ferromagnetic behaviors in 2-Ln are attributed to the strong antiferromagnetic coupling of the metal centers with the bpym·-radical.Compounds 1-Dy and 2-Dy share similar coordination environments,and both exhibit single-molecule magnet(SMM)behaviour.In the case of 2-Dy,strong exchange interactions result in significantly reduced quantum tunneling of magnetization(QTM),allowing a considerable enhancement of relaxation times by around 30000-fold increase,compared to compound 1-Dy.Importantly,the 100-s magnetic blocking temperature(TB(100s))for compound 2-Dy is up to 4.1 K,which,as far as we know,is the highest temperature reported to date for any 3d-radical-4f SMMs.The hysteresis loops for compound1-Dy are butterfly-shaped,and the loops are closed at zero field,due to fast relaxation.In contrast,compound 2-Dy exhibits open hysteresis loops up to 7 K.Ab initio calculations were performed to investigate the relaxation mechanism,revealing that the extracted energy barrier of 2-Dy is a multilevel exchange type rather than originating from excited Kramers doublets on individual metal ions.These results provide a facile route to access 3d-radical-4f compounds,and further reveal the opportunities for the design and synthesis of high-performing 3d-radical-4f SMMs.