Frameworks are time-tested highly reusable architectural skeleton structures. They are designed ‘abstract’ and ‘inco- mplete’ and are designed with predefined points of variability, known as hot spots, to be custo...Frameworks are time-tested highly reusable architectural skeleton structures. They are designed ‘abstract’ and ‘inco- mplete’ and are designed with predefined points of variability, known as hot spots, to be customized later at the time of framework reuse. Frameworks are reusable entities thus demand stricter and rigorous testing in comparison to one- time use application. The overall cost of framework development may be reduced by designing frameworks with high testability. This paper aims at discussing a few metric models for testability analysis of object-oriented frameworks in an attempt to having quantitative data on testability to be used to plan and monitor framework testing activities so that the framework testing effort and hence the overall framework development effort may be brought down.展开更多
Incorporation of explainability features in the decision-making web-based systems is considered a primary concern to enhance accountability,transparency,and trust in the community.Multi-domain Sentiment Analysis is a ...Incorporation of explainability features in the decision-making web-based systems is considered a primary concern to enhance accountability,transparency,and trust in the community.Multi-domain Sentiment Analysis is a significant web-based system where the explainability feature is essential for achieving user satisfaction.Conventional design methodologies such as object-oriented design methodology(OODM)have been proposed for web-based application development,which facilitates code reuse,quantification,and security at the design level.However,OODM did not provide the feature of explainability in web-based decision-making systems.X-OODM modifies the OODM with added explainable models to introduce the explainability feature for such systems.This research introduces an explainable model leveraging X-OODM for designing transparent applications for multidomain sentiment analysis.The proposed design is evaluated using the design quality metrics defined for the evaluation of the X-OODM explainable model under user context.The design quality metrics,transferability,simulatability,informativeness,and decomposability were introduced one after another over time to the evaluation of the X-OODM user context.Auxiliary metrics of accessibility and algorithmic transparency were added to increase the degree of explainability for the design.The study results reveal that introducing such explainability parameters with X-OODM appropriately increases system transparency,trustworthiness,and user understanding.The experimental results validate the enhancement of decision-making for multi-domain sentiment analysis with integration at the design level of explainability.Future work can be built in this direction by extending this work to apply the proposed X-OODM framework over different datasets and sentiment analysis applications to further scrutinize its effectiveness in real-world scenarios.展开更多
The increasing use of digital video everyday in a multitude of electronic devices, including mobile phones, tablets and laptops, poses the need for quick development of cross-platform video software. However current a...The increasing use of digital video everyday in a multitude of electronic devices, including mobile phones, tablets and laptops, poses the need for quick development of cross-platform video software. However current approaches to this direction usually require a long learning curve, and their development lacks standardization. This results in software components that are difficult to reuse, and hard to maintain or extend. In order to overcome such issues, we propose a novel object-oriented framework for efficient development of software systems for video analysis. It consists of a set of four abstract components, suitable for the implementation of independent plug-in modules for video acquisition, preprocessing, analysis and output handling. The extensibility of each module can be facilitated by sub-modules specifying additional functionalities. This architecture enables quick responses to changes and re-configurability;thus conforming to the requirements of agile software development practices. Considering the need for platform independency, the proposed Java Video Analysis (JVA) framework is implemented in Java. It is publicly available through the web as open-access software, supported by a growing collection of implemented modules. Its efficiency is empirically validated for the development of a representative video analysis system.展开更多
Under hydrothermal and solvothermal conditions,two novel cobalt-based complexes,{[Co_(2)(CIA)(OH)(1,4-dtb)]·3.2H_(2)O}n(HU23)and{[Co_(2)(CIA)(OH)(1,4-dib)]·3.5H2O·DMF}n(HU24),were successfully construct...Under hydrothermal and solvothermal conditions,two novel cobalt-based complexes,{[Co_(2)(CIA)(OH)(1,4-dtb)]·3.2H_(2)O}n(HU23)and{[Co_(2)(CIA)(OH)(1,4-dib)]·3.5H2O·DMF}n(HU24),were successfully constructed by coordinatively assembling the semi-rigid multidentate ligand 5-(1-carboxyethoxy)isophthalic acid(H₃CIA)with the Nheterocyclic ligands 1,4-di(4H-1,2,4-triazol-4-yl)benzene(1,4-dtb)and 1,4-di(1H-imidazol-1-yl)benzene(1,4-dib),respectively,around Co^(2+)ions.Single-crystal X-ray diffraction analysis revealed that in both complexes HU23 and HU24,the CIA^(3-)anions adopt aκ^(7)-coordination mode,bridging six Co^(2+)ions via their five carboxylate oxygen atoms and one ether oxygen atom.This linkage forms tetranuclear[Co4(μ3-OH)2]^(6+)units.These Co-oxo cluster units were interconnected by CIA^(3-)anions to assemble into 2D kgd-type structures featuring a 3,6-connected topology.The 2D layers were further connected by 1,4-dtb and 1,4-dib,resulting in 3D pillar-layered frameworks for HU23 and HU24.Notably,despite the similar configurations of 1,4-dtb and 1,4-dib,differences in their coordination spatial orientations lead to topological divergence in the 3D frameworks of HU23 and HU24.Topological analysis indicates that the frameworks of HU23 and HU24 can be simplified into a 3,10-connected net(point symbol:(4^(10).6^(3).8^(2))(4^(3))_(2))and a 3,8-connected tfz-d net(point symbol:(4^(3))_(2)((4^(6).6^(18).8^(4)))),respectively.This structural differentiation confirms the precise regulatory role of ligands on the topology of metal-organic frameworks.Moreover,the ultraviolet-visible absorption spectra confirmed that HU23 and HU24 have strong absorption capabilities for ultraviolet and visible light.According to the Kubelka-Munk method,their bandwidths were 2.15 and 2.08 eV,respectively,which are consistent with those of typical semiconductor materials.Variable-temperature magnetic susceptibility measurements(2-300 K)revealed significant antiferromagnetic coupling in both complexes,with their effective magnetic moments decreasing markedly as the temperature lowered.CCDC:2457554,HU23;2457553,HU24.展开更多
Enhancing the activity of fragile enzymes is greatly useful for various purposes,including fabrication of enzyme-based immunosensors.Herein,we report a defect-engineering strategy for encapsulating enzymes within cova...Enhancing the activity of fragile enzymes is greatly useful for various purposes,including fabrication of enzyme-based immunosensors.Herein,we report a defect-engineering strategy for encapsulating enzymes within covalent organic frameworks(COFs),enabling the resulting immobilized enzymes with excellent catalytic activity and stability to construct high performance immunosensors.In this design,by consciously introducing monoaldehyde ligands into the imine-linked COFs structure,we have precisely customized the structural defects to improve enzyme loading capacity and conformational stability.Defect-engineering interaction modulation between enzymes and COFs drives the enhancement of catalytic performance.Compared to the pristine COFs,the enzyme@defective COFs composites with optimally tuned catalytic performance exhibit a 4.49-fold enhancement in enzymatic activity.Furthermore,it is demonstrated that the stable skeletons of COFs provide exceptional protection for the enzymes against external perturbations.Thereafter,the optimized enzyme@defective COFs are employed to fabricate immunosensor.We have successfully established a detection method for prostate-specific antigen(PSA),achieving a low detection limit of 0.09 ng/mL.More importantly,the developed immunosensor has successfully distinguished the prostate cancer patients from healthy individuals.This work establishes a novel paradigm for enzyme immobilization,ultimately empowering the construction of a PSA immunosensor with high sensitivity,remarkable operational stability,and great clinical application potential.展开更多
Cellulose frameworks have emerged as promising materials for light management due to their exceptional light-scattering capabilities and sustainable nature.Conventional biomass-derived cellulose frameworks face a fund...Cellulose frameworks have emerged as promising materials for light management due to their exceptional light-scattering capabilities and sustainable nature.Conventional biomass-derived cellulose frameworks face a fundamental trade-off between haze and transparency,coupled with impractical thicknesses(≥1 mm).Inspired by squid’s skin-peeling mechanism,this work develops a peroxyformic acid(HCOOOH)-enabled precision peeling strategy to isolate intact 10-μm-thick bamboo green(BG)frameworks—100×thinner than wood-based counterparts while achieving an unprecedented optical performance(88%haze with 80%transparency).This performance surpasses delignified biomass(transparency<40%at 1 mm)and matches engineered cellulose composites,yet requires no energy-intensive nanofibrillation.The preserved native cellulose I crystalline structure(64.76%crystallinity)and wax-coated uniaxial fibril alignment(Hermans factor:0.23)contribute to high mechanical strength(903 MPa modulus)and broadband light scattering.As a light-management layer in polycrystalline silicon solar cells,the BG framework boosts photoelectric conversion efficiency by 0.41%absolute(18.74%→19.15%),outperforming synthetic anti-reflective coatings.The work establishes a scalable,waste-to-wealth route for optical-grade cellulose materials in next-generation optoelectronics.展开更多
Two-dimensional conjugated metal-organic framework(2D c-MOF)nanosheets have garnered significant research interest owing to their suite of distinctive properties.Consequently,diverse synthetic methodologies have been ...Two-dimensional conjugated metal-organic framework(2D c-MOF)nanosheets have garnered significant research interest owing to their suite of distinctive properties.Consequently,diverse synthetic methodologies have been established for the fabrication of 2D c-MOFs exhibiting welldefined nanosheet morphology.In addition,the structural engineering of 2D c-MOF nanosheets for energy storage and conversion has emerged as a prominent research focus.This review comprehensively summarizes recent advancements in 2D c-MOF nanosheets.We commence with a concise overview of diverse synthesis strategies for these materials.Subsequently,progress in their utilization as electrode materials or catalysts for batteries,supercapacitors,and electrocatalysis/photocatalysis is systematically examined.Finally,prevailing challenges and prospective research directions are discussed.Collectively,this review aims to stimulate the development of sophisticated 2D c-MOF nanosheets for high-performance energy applications.展开更多
Constructing catalysts featuring an ordered structure,stable performance,and uniformly dispersed catalytic sites is vital for the epoxidation of small-molecular olefins.Here,we design catalysts by tracing the oxidatio...Constructing catalysts featuring an ordered structure,stable performance,and uniformly dispersed catalytic sites is vital for the epoxidation of small-molecular olefins.Here,we design catalysts by tracing the oxidationprocess origin and synthesize a series of highly dispersed metal porphyrin-based covalent organic frameworks(COFs)materials.The aim is to efficiently oxidize the C-H bonds of cumene by air to in-situ generate organic peroxides at a safe concentration,and integrate the multi-step oxidation method of cumene in industry into a one-step method for olefins’epoxidation.The carbonyl-ruthenium COF(Ru-COF-1)exhibits excellent performance,with 98% epoxide selectivity,1221.77 h^(-1) productivity,and over 95% selectivity after 9 cycles for 1-hexene.Analysis of structure-properties-catalytic relationships of Ru-COF-1 shows that,compared with Ru-porphyrins and metal-free COFs,the enhanced reaction performance mainly results from Ru metal introduction,which promotes benzylic proton transfer in cumene.Besides,Ru-COF-1’s porous,ordered structure aids oxygen enrichment,forming active peroxy radicals with the cumene carboncentered radicals formed on the catalyst surface.Ru-H sites then accelerate active oxygen transfer from peroxy radicals,enabling olefin tandem epoxidation.Density functional theory(DFT)calculations verify the reaction mechanism,and this work offers a reference for the design of catalysts for the green,safe,and efficient oxidation of olefins.展开更多
A series of dual-extended-polyhedral metal-organic frameworks(MOFs)was constructed based on the 14-coordinated Cu_(24)-MOP-1(MOP=metal-organic polyhedron)supermolecular building blocks(SBBs)with enhanced stability and...A series of dual-extended-polyhedral metal-organic frameworks(MOFs)was constructed based on the 14-coordinated Cu_(24)-MOP-1(MOP=metal-organic polyhedron)supermolecular building blocks(SBBs)with enhanced stability and tunable functionality for high water uptake efficiency and capacity.Exceptional water stability was demonstrated by the retention of chemical integrity and crystallinity of USC-CP-5(where USC-CP stands for University of South China coordination polymer)after exposure to boiling water for 24 h.Functionalization with-Cl,-OCH_(3),-OH,and-NH_(2)groups of USC-CP-5 resulted in water uptake capacities of 450,460,490,and 590 cm^(3)·g^(-1) at relative pressure(P/P_(0))=0.9,respectively.This performance is ascribed to both the increased hydrophilicity of the ligands and stronger hydrogen bonding.Intriguingly,high-temperature activated USC-5-NH_(2)exhibits a significant water uptake of 38.5 wt.%at P/P_(0)=0.3 and releases 0.44 L·kg^(-1) water between 25 and 65℃.This water release process is reversible for at least 100 cycles with minimal weight loss of only 1.6 wt.%.Consequently,USC-5-NH_(2)holds considerable potential for harvesting and releasing atmospheric water in arid desert regions,powered by solar energy.展开更多
To meet the growing needs of flexible and wearable electronics,stretchable energy storage devices—especially supercapacitors(SCs)—have become a key focus in advanced energy storage research.However,achieving both me...To meet the growing needs of flexible and wearable electronics,stretchable energy storage devices—especially supercapacitors(SCs)—have become a key focus in advanced energy storage research.However,achieving both mechanical stretchability and high capacitance in SC still faces great challenges,and the crucial factors lie in creating superior electrode materials that exhibit high electrochemical performance as well as excellent mechanical stretchability.Covalent organic frameworks(COFs)possess considerable potential as electrode materials for SCs by virtue of stable organic frameworks,open channels and designable functional groups.Nevertheless,their applications in flexible SCs are greatly hindered by their rigid characteristics.Here a novel COFs@conductive polymer hydrogels(CPHs)@poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate)(PEDOT:PSS)complexes,which integrate the pseudocapacitance of PDITAPA COF,mechanical stretchability of hydrogels and high conductivity of PEDOT:PSS,has been developed as stretchable electrode of SCs.Physically cross-linked PEDOT nanofibers,with their interlinked and entangled architecture,collectively boost mechanical,electrical,and electrochemical performance.The COFs@CPHs@PEDOT:PSS simultaneously demonstrates outstanding mechanical stretchability,high electrical behaviors,and superior swelling characteristics.The resulting SC exhibits advantages of simple structures,facile assembly processes,high specific capacitance,excellent cycling stability,and arbitrary deformation,which holds great application prospects for wearable electronic products.Owing to its uncomplicated structure,ease of production,high energy storage capacity,robust cycling performance,and adaptability to deformation,this fabricated SC is well-suited for next-generation wearable technologies.展开更多
Photocatalytic carbon dioxide(CO_(2))reduction offers an alternative strategy for converting CO_(2)into high-value added gaseous fuels,thereby paving the way for the development of clean and renewable energy.Metal-org...Photocatalytic carbon dioxide(CO_(2))reduction offers an alternative strategy for converting CO_(2)into high-value added gaseous fuels,thereby paving the way for the development of clean and renewable energy.Metal-organic frameworks(MOFs),characterized by their highly porous structure,exceptional CO_(2)adsorption capacity,and tunable architecture,have emerged as promising candidates for photocatalytic CO_(2)reduction.This review systematically examines the recent advancement in MOFs-based photocatalysts for CO_(2)reduction to CO.It begins with the overview of the fundamental mechanisms and processes of MOFs towards photocatalytic CO_(2)reduction.Subsequently,common strategies for the modulation of MOFs-based photocatalysts are summarized,including metallic site modification,functionalized ligand incorporation,morphological control,defect engineering,and heterostructure construction.Notably,the review analyzes the critical factors contributing to the high selectivity of CO_(2)photoreduction to CO from both thermodynamic and kinetic perspectives.The conclusion addresses current challenges and future perspectives in designing highly efficient photocatalysts with abundant active sites,providing valuable insights for their continued development.展开更多
The intrinsic pressure framework,which treats self-propelling force as an external force,provides a convenient and consistent description of mechanical equilibrium in active matter.However,direct experimental evidence...The intrinsic pressure framework,which treats self-propelling force as an external force,provides a convenient and consistent description of mechanical equilibrium in active matter.However,direct experimental evidence is still lacking.To validate this framework,here we employ a programmable robotic platform,where a single light-controlled wheeled robot travels in an activity landscape.Our experiments quantitatively demonstrate that the intrinsic pressure difference across the activity interface is balanced by the emerged polarization force.This result unambiguously confirms the theoretical predictions,thus validating the intrinsic pressure framework and laying the experimental foundation for the intrinsic pressure-based mechanical description of dry active matter.展开更多
The evolution of cities into digitally managed environments requires computational systems that can operate in real time while supporting predictive and adaptive infrastructure management.Earlier approaches have often...The evolution of cities into digitally managed environments requires computational systems that can operate in real time while supporting predictive and adaptive infrastructure management.Earlier approaches have often advanced one dimension—such as Internet of Things(IoT)-based data acquisition,Artificial Intelligence(AI)-driven analytics,or digital twin visualization—without fully integrating these strands into a single operational loop.As a result,many existing solutions encounter bottlenecks in responsiveness,interoperability,and scalability,while also leaving concerns about data privacy unresolved.This research introduces a hybrid AI–IoT–Digital Twin framework that combines continuous sensing,distributed intelligence,and simulation-based decision support.The design incorporates multi-source sensor data,lightweight edge inference through Convolutional Neural Networks(CNN)and Long ShortTerm Memory(LSTM)models,and federated learning enhanced with secure aggregation and differential privacy to maintain confidentiality.A digital twin layer extends these capabilities by simulating city assets such as traffic flows and water networks,generating what-if scenarios,and issuing actionable control signals.Complementary modules,including model compression and synchronization protocols,are embedded to ensure reliability in bandwidth-constrained and heterogeneous urban environments.The framework is validated in two urban domains:traffic management,where it adapts signal cycles based on real-time congestion patterns,and pipeline monitoring,where it anticipates leaks through pressure and vibration data.Experimental results show a 28%reduction in response time,a 35%decrease in maintenance costs,and a marked reduction in false positives relative to conventional baselines.The architecture also demonstrates stability across 50+edge devices under federated training and resilience to uneven node participation.The proposed system provides a scalable and privacy-aware foundation for predictive urban infrastructure management.By closing the loop between sensing,learning,and control,it reduces operator dependence,enhances resource efficiency,and supports transparent governance models for emerging smart cities.展开更多
The inspection of engine lubricating oil can give an indication of the internal condition of an engine. By means of the Object-Oriented Programming (OOP), an expert system is developed in this paper to computerize the...The inspection of engine lubricating oil can give an indication of the internal condition of an engine. By means of the Object-Oriented Programming (OOP), an expert system is developed in this paper to computerize the inspection. The traditional components of an expert system, such us knowledge base, inference engine and user interface are reconstructed and integrated, based on the Microsoft Foundation Class (MFC) library. To testify the expert system, an inspection example is given at the end of this paper.展开更多
Expert systems (ESs) are being increasingly applied to the fault diagnosis of engines. Based on the idea of ES template (EST), an object-oriented rule-type EST is emphatically studied on such aspects as the object-ori...Expert systems (ESs) are being increasingly applied to the fault diagnosis of engines. Based on the idea of ES template (EST), an object-oriented rule-type EST is emphatically studied on such aspects as the object-oriented knowledge representation, the heuristic inference engine with an improved depth-first search (DFS) and the graphical user interface. A diagnositic ES instance for debris on magnetic chip detectors (MCDs) is then created with the EST. The spot running shows that the rule-type EST enhances the abilities of knowledge representation and heuristic inference, and breaks a new way for the rapid construction and implementation of ES.展开更多
This paper uses three size metrics,which are collectable during the design phase,to analyze the potentially confounding effect of class size on the associations between object-oriented（OO）metrics and maintainability...This paper uses three size metrics,which are collectable during the design phase,to analyze the potentially confounding effect of class size on the associations between object-oriented（OO）metrics and maintainability.To draw as many general conclusions as possible,the confounding effect of class size is analyzed on 127 C＋＋ systems and 113 Java systems.For each OO metric,the indirect effect that represents the distortion of the association caused by class size and its variance for individual systems is first computed.Then,a statistical meta-analysis technique is used to compute the average indirect effect over all the systems and to determine if it is significantly different from zero.The experimental results show that the confounding effects of class size on the associations between OO metrics and maintainability generally exist,regardless of whatever size metric is used.Therefore,empirical studies validating OO metrics on maintainability should consider class size as a confounding variable.展开更多
A visual object-oriented software for lane following on intelligent highway system (IHS) is proposed. According to object-oriented theory, 3 typical user services of self-check, transfer of human driving and automatic...A visual object-oriented software for lane following on intelligent highway system (IHS) is proposed. According to object-oriented theory, 3 typical user services of self-check, transfer of human driving and automatic running and abnormal information input from the sensors are chosen out. In addition, the functions of real-time display, information exchanging interface, determination and operation interweaving in the 3 user services are separated into 5 object-oriented classes. Moreover, the 5 classes are organized in the visual development environment. At last, experimental result proves the validity and reliability of the control application.展开更多
Presents an object-oriented NBO(node-block-object)data model for hypermedia system.It takes advantage of object-oriented method,encapsulates all multimedia information as well as link functions in one unit,It has succ...Presents an object-oriented NBO(node-block-object)data model for hypermedia system.It takes advantage of object-oriented method,encapsulates all multimedia information as well as link functions in one unit,It has successfully achieved cross link to offer much better flexibility and two-way link to realize forward and backward searching in hypermedia system navigation.A conditional relation on links has also been realized,that is very helpful for time sensitive multimedia information processing and multimedia object cooperation.展开更多
From a perspective of theoretical study, there are some faults in the models of the existing object-oriented programming languages. For example, C# does not support metaclasses, the primitive types of Java and C# are ...From a perspective of theoretical study, there are some faults in the models of the existing object-oriented programming languages. For example, C# does not support metaclasses, the primitive types of Java and C# are not objects, etc. So, this paper designs a programming language, Shrek, which integrates many language features and constructions in a compact and consistent model. The Shrek language is a class-based purely object-oriented language. It has a dynamical strong type system, and adopts a single-inheritance mechanism with Mixin as its complement. It has a consistent class instantiation and inheritance structure, and the ability of intercessive structural computational reflection, which enables it to support safe metaclass programming. It also supports multi-thread programming and automatic garbage collection, and enforces its expressive power by adopting a native method mechanism. The prototype system of the Shrek language is implemented and anticipated design goals are achieved.展开更多
With the wide use of high-resolution remotely sensed imagery, the object-oriented remotely sensed informa- tion classification pattern has been intensively studied. Starting with the definition of object-oriented remo...With the wide use of high-resolution remotely sensed imagery, the object-oriented remotely sensed informa- tion classification pattern has been intensively studied. Starting with the definition of object-oriented remotely sensed information classification pattern and a literature review of related research progress, this paper sums up 4 developing phases of object-oriented classification pattern during the past 20 years. Then, we discuss the three aspects of method- ology in detail, namely remotely sensed imagery segmentation, feature analysis and feature selection, and classification rule generation, through comparing them with remotely sensed information classification method based on per-pixel. At last, this paper presents several points that need to be paid attention to in the future studies on object-oriented RS in- formation classification pattern: 1) developing robust and highly effective image segmentation algorithm for multi-spectral RS imagery; 2) improving the feature-set including edge, spatial-adjacent and temporal characteristics; 3) discussing the classification rule generation classifier based on the decision tree; 4) presenting evaluation methods for classification result by object-oriented classification pattern.展开更多
文摘Frameworks are time-tested highly reusable architectural skeleton structures. They are designed ‘abstract’ and ‘inco- mplete’ and are designed with predefined points of variability, known as hot spots, to be customized later at the time of framework reuse. Frameworks are reusable entities thus demand stricter and rigorous testing in comparison to one- time use application. The overall cost of framework development may be reduced by designing frameworks with high testability. This paper aims at discussing a few metric models for testability analysis of object-oriented frameworks in an attempt to having quantitative data on testability to be used to plan and monitor framework testing activities so that the framework testing effort and hence the overall framework development effort may be brought down.
基金support of the Deanship of Research and Graduate Studies at Ajman University under Projects 2024-IRG-ENiT-36 and 2024-IRG-ENIT-29.
文摘Incorporation of explainability features in the decision-making web-based systems is considered a primary concern to enhance accountability,transparency,and trust in the community.Multi-domain Sentiment Analysis is a significant web-based system where the explainability feature is essential for achieving user satisfaction.Conventional design methodologies such as object-oriented design methodology(OODM)have been proposed for web-based application development,which facilitates code reuse,quantification,and security at the design level.However,OODM did not provide the feature of explainability in web-based decision-making systems.X-OODM modifies the OODM with added explainable models to introduce the explainability feature for such systems.This research introduces an explainable model leveraging X-OODM for designing transparent applications for multidomain sentiment analysis.The proposed design is evaluated using the design quality metrics defined for the evaluation of the X-OODM explainable model under user context.The design quality metrics,transferability,simulatability,informativeness,and decomposability were introduced one after another over time to the evaluation of the X-OODM user context.Auxiliary metrics of accessibility and algorithmic transparency were added to increase the degree of explainability for the design.The study results reveal that introducing such explainability parameters with X-OODM appropriately increases system transparency,trustworthiness,and user understanding.The experimental results validate the enhancement of decision-making for multi-domain sentiment analysis with integration at the design level of explainability.Future work can be built in this direction by extending this work to apply the proposed X-OODM framework over different datasets and sentiment analysis applications to further scrutinize its effectiveness in real-world scenarios.
文摘The increasing use of digital video everyday in a multitude of electronic devices, including mobile phones, tablets and laptops, poses the need for quick development of cross-platform video software. However current approaches to this direction usually require a long learning curve, and their development lacks standardization. This results in software components that are difficult to reuse, and hard to maintain or extend. In order to overcome such issues, we propose a novel object-oriented framework for efficient development of software systems for video analysis. It consists of a set of four abstract components, suitable for the implementation of independent plug-in modules for video acquisition, preprocessing, analysis and output handling. The extensibility of each module can be facilitated by sub-modules specifying additional functionalities. This architecture enables quick responses to changes and re-configurability;thus conforming to the requirements of agile software development practices. Considering the need for platform independency, the proposed Java Video Analysis (JVA) framework is implemented in Java. It is publicly available through the web as open-access software, supported by a growing collection of implemented modules. Its efficiency is empirically validated for the development of a representative video analysis system.
文摘Under hydrothermal and solvothermal conditions,two novel cobalt-based complexes,{[Co_(2)(CIA)(OH)(1,4-dtb)]·3.2H_(2)O}n(HU23)and{[Co_(2)(CIA)(OH)(1,4-dib)]·3.5H2O·DMF}n(HU24),were successfully constructed by coordinatively assembling the semi-rigid multidentate ligand 5-(1-carboxyethoxy)isophthalic acid(H₃CIA)with the Nheterocyclic ligands 1,4-di(4H-1,2,4-triazol-4-yl)benzene(1,4-dtb)and 1,4-di(1H-imidazol-1-yl)benzene(1,4-dib),respectively,around Co^(2+)ions.Single-crystal X-ray diffraction analysis revealed that in both complexes HU23 and HU24,the CIA^(3-)anions adopt aκ^(7)-coordination mode,bridging six Co^(2+)ions via their five carboxylate oxygen atoms and one ether oxygen atom.This linkage forms tetranuclear[Co4(μ3-OH)2]^(6+)units.These Co-oxo cluster units were interconnected by CIA^(3-)anions to assemble into 2D kgd-type structures featuring a 3,6-connected topology.The 2D layers were further connected by 1,4-dtb and 1,4-dib,resulting in 3D pillar-layered frameworks for HU23 and HU24.Notably,despite the similar configurations of 1,4-dtb and 1,4-dib,differences in their coordination spatial orientations lead to topological divergence in the 3D frameworks of HU23 and HU24.Topological analysis indicates that the frameworks of HU23 and HU24 can be simplified into a 3,10-connected net(point symbol:(4^(10).6^(3).8^(2))(4^(3))_(2))and a 3,8-connected tfz-d net(point symbol:(4^(3))_(2)((4^(6).6^(18).8^(4)))),respectively.This structural differentiation confirms the precise regulatory role of ligands on the topology of metal-organic frameworks.Moreover,the ultraviolet-visible absorption spectra confirmed that HU23 and HU24 have strong absorption capabilities for ultraviolet and visible light.According to the Kubelka-Munk method,their bandwidths were 2.15 and 2.08 eV,respectively,which are consistent with those of typical semiconductor materials.Variable-temperature magnetic susceptibility measurements(2-300 K)revealed significant antiferromagnetic coupling in both complexes,with their effective magnetic moments decreasing markedly as the temperature lowered.CCDC:2457554,HU23;2457553,HU24.
基金supported by the Nanjing Second Hospital talent lifting project(No.RCZD23001)the Jiangsu Province traditional Chinese medicine science and technology development general program(No.MS2023063)+1 种基金Medical Science and Technology Development Foundation,Nanjing Department of Health(No.ZKX20033)Postgraduate Research&Practice Innovation Program of Jiangsu Province(No.KYCX25_0240).
文摘Enhancing the activity of fragile enzymes is greatly useful for various purposes,including fabrication of enzyme-based immunosensors.Herein,we report a defect-engineering strategy for encapsulating enzymes within covalent organic frameworks(COFs),enabling the resulting immobilized enzymes with excellent catalytic activity and stability to construct high performance immunosensors.In this design,by consciously introducing monoaldehyde ligands into the imine-linked COFs structure,we have precisely customized the structural defects to improve enzyme loading capacity and conformational stability.Defect-engineering interaction modulation between enzymes and COFs drives the enhancement of catalytic performance.Compared to the pristine COFs,the enzyme@defective COFs composites with optimally tuned catalytic performance exhibit a 4.49-fold enhancement in enzymatic activity.Furthermore,it is demonstrated that the stable skeletons of COFs provide exceptional protection for the enzymes against external perturbations.Thereafter,the optimized enzyme@defective COFs are employed to fabricate immunosensor.We have successfully established a detection method for prostate-specific antigen(PSA),achieving a low detection limit of 0.09 ng/mL.More importantly,the developed immunosensor has successfully distinguished the prostate cancer patients from healthy individuals.This work establishes a novel paradigm for enzyme immobilization,ultimately empowering the construction of a PSA immunosensor with high sensitivity,remarkable operational stability,and great clinical application potential.
基金supported by National Natural Science Foundation of China(32494793).
文摘Cellulose frameworks have emerged as promising materials for light management due to their exceptional light-scattering capabilities and sustainable nature.Conventional biomass-derived cellulose frameworks face a fundamental trade-off between haze and transparency,coupled with impractical thicknesses(≥1 mm).Inspired by squid’s skin-peeling mechanism,this work develops a peroxyformic acid(HCOOOH)-enabled precision peeling strategy to isolate intact 10-μm-thick bamboo green(BG)frameworks—100×thinner than wood-based counterparts while achieving an unprecedented optical performance(88%haze with 80%transparency).This performance surpasses delignified biomass(transparency<40%at 1 mm)and matches engineered cellulose composites,yet requires no energy-intensive nanofibrillation.The preserved native cellulose I crystalline structure(64.76%crystallinity)and wax-coated uniaxial fibril alignment(Hermans factor:0.23)contribute to high mechanical strength(903 MPa modulus)and broadband light scattering.As a light-management layer in polycrystalline silicon solar cells,the BG framework boosts photoelectric conversion efficiency by 0.41%absolute(18.74%→19.15%),outperforming synthetic anti-reflective coatings.The work establishes a scalable,waste-to-wealth route for optical-grade cellulose materials in next-generation optoelectronics.
基金supported by the National Natural Science Foundation of China(Nos.22205196 and 52371240)the Natural Science Foundation of Jiangsu Province(No.BK20210790)the start-up fundings from Yangzhou University.
文摘Two-dimensional conjugated metal-organic framework(2D c-MOF)nanosheets have garnered significant research interest owing to their suite of distinctive properties.Consequently,diverse synthetic methodologies have been established for the fabrication of 2D c-MOFs exhibiting welldefined nanosheet morphology.In addition,the structural engineering of 2D c-MOF nanosheets for energy storage and conversion has emerged as a prominent research focus.This review comprehensively summarizes recent advancements in 2D c-MOF nanosheets.We commence with a concise overview of diverse synthesis strategies for these materials.Subsequently,progress in their utilization as electrode materials or catalysts for batteries,supercapacitors,and electrocatalysis/photocatalysis is systematically examined.Finally,prevailing challenges and prospective research directions are discussed.Collectively,this review aims to stimulate the development of sophisticated 2D c-MOF nanosheets for high-performance energy applications.
基金financially supported by the National Natural Science Foundation of China(No.22508360)Zhejiang Provincial Natural Science Foundation of China(No.QN26B060028)+1 种基金the National Key Research and Development Program Nanotechnology Specific Project(No.2020YFA0210900)Innovative Team Project of Guang-dong Ordinary University(No.2019KCXTD002).
文摘Constructing catalysts featuring an ordered structure,stable performance,and uniformly dispersed catalytic sites is vital for the epoxidation of small-molecular olefins.Here,we design catalysts by tracing the oxidationprocess origin and synthesize a series of highly dispersed metal porphyrin-based covalent organic frameworks(COFs)materials.The aim is to efficiently oxidize the C-H bonds of cumene by air to in-situ generate organic peroxides at a safe concentration,and integrate the multi-step oxidation method of cumene in industry into a one-step method for olefins’epoxidation.The carbonyl-ruthenium COF(Ru-COF-1)exhibits excellent performance,with 98% epoxide selectivity,1221.77 h^(-1) productivity,and over 95% selectivity after 9 cycles for 1-hexene.Analysis of structure-properties-catalytic relationships of Ru-COF-1 shows that,compared with Ru-porphyrins and metal-free COFs,the enhanced reaction performance mainly results from Ru metal introduction,which promotes benzylic proton transfer in cumene.Besides,Ru-COF-1’s porous,ordered structure aids oxygen enrichment,forming active peroxy radicals with the cumene carboncentered radicals formed on the catalyst surface.Ru-H sites then accelerate active oxygen transfer from peroxy radicals,enabling olefin tandem epoxidation.Density functional theory(DFT)calculations verify the reaction mechanism,and this work offers a reference for the design of catalysts for the green,safe,and efficient oxidation of olefins.
基金supported by the National Natural Science Foundation of China(Nos.11375082,22271189,12405385,92356301,and 21522105)the Hunan Provincial Natural Science Foundation of China(No.2021JJ30565)+5 种基金the Science and Technology Commission of Shanghai Municipality(Nos.21XD1402300,21JC1401700,and 21DZ2260400)the supports by the Double First-Class Initiative Fund of ShanghaiTech University(No.SYLDX0052022)the Analytical Instrumentation Center(No.SPST-AIC10112914)for adsorption measurementthe staff at BL17B1 beamline of the National Facility for Protein Science in Shanghai(NFPS),Shanghai Advanced Research Institute,CAS,for providing beamtime for single-crystal X-ray diffraction data collectionthe project CICECO-Aveiro Institute of Materials,Grants(Nos.UIDB/50011/2020,UIDP/50011/2020,and LA/P/0006/2020)financed by national funds through the FCT/MEC(PIDDAC).
文摘A series of dual-extended-polyhedral metal-organic frameworks(MOFs)was constructed based on the 14-coordinated Cu_(24)-MOP-1(MOP=metal-organic polyhedron)supermolecular building blocks(SBBs)with enhanced stability and tunable functionality for high water uptake efficiency and capacity.Exceptional water stability was demonstrated by the retention of chemical integrity and crystallinity of USC-CP-5(where USC-CP stands for University of South China coordination polymer)after exposure to boiling water for 24 h.Functionalization with-Cl,-OCH_(3),-OH,and-NH_(2)groups of USC-CP-5 resulted in water uptake capacities of 450,460,490,and 590 cm^(3)·g^(-1) at relative pressure(P/P_(0))=0.9,respectively.This performance is ascribed to both the increased hydrophilicity of the ligands and stronger hydrogen bonding.Intriguingly,high-temperature activated USC-5-NH_(2)exhibits a significant water uptake of 38.5 wt.%at P/P_(0)=0.3 and releases 0.44 L·kg^(-1) water between 25 and 65℃.This water release process is reversible for at least 100 cycles with minimal weight loss of only 1.6 wt.%.Consequently,USC-5-NH_(2)holds considerable potential for harvesting and releasing atmospheric water in arid desert regions,powered by solar energy.
基金granted by the National Natural Science Foundation of China(Nos.52533008,21835003,62274097,and 62004106)National Key Research and Development Program of China(Nos.2024YFB3612500,2024YFB3612600,and 2023YFB3608900)+2 种基金Basic Research Program of Jiangsu Province(No.BK20243057)Postgraduate Research&Practice Innovation Program of Jiangsu Province(No.KYCX25_1213)the Natural Science Foundation of Nanjing Universityof Posts and Telecommunications(No.NY225135).
文摘To meet the growing needs of flexible and wearable electronics,stretchable energy storage devices—especially supercapacitors(SCs)—have become a key focus in advanced energy storage research.However,achieving both mechanical stretchability and high capacitance in SC still faces great challenges,and the crucial factors lie in creating superior electrode materials that exhibit high electrochemical performance as well as excellent mechanical stretchability.Covalent organic frameworks(COFs)possess considerable potential as electrode materials for SCs by virtue of stable organic frameworks,open channels and designable functional groups.Nevertheless,their applications in flexible SCs are greatly hindered by their rigid characteristics.Here a novel COFs@conductive polymer hydrogels(CPHs)@poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate)(PEDOT:PSS)complexes,which integrate the pseudocapacitance of PDITAPA COF,mechanical stretchability of hydrogels and high conductivity of PEDOT:PSS,has been developed as stretchable electrode of SCs.Physically cross-linked PEDOT nanofibers,with their interlinked and entangled architecture,collectively boost mechanical,electrical,and electrochemical performance.The COFs@CPHs@PEDOT:PSS simultaneously demonstrates outstanding mechanical stretchability,high electrical behaviors,and superior swelling characteristics.The resulting SC exhibits advantages of simple structures,facile assembly processes,high specific capacitance,excellent cycling stability,and arbitrary deformation,which holds great application prospects for wearable electronic products.Owing to its uncomplicated structure,ease of production,high energy storage capacity,robust cycling performance,and adaptability to deformation,this fabricated SC is well-suited for next-generation wearable technologies.
基金supported by the National Key Research and Development Program of China(No.2021YFC2901100)the National Natural Science Foundation of China(No.22478425).
文摘Photocatalytic carbon dioxide(CO_(2))reduction offers an alternative strategy for converting CO_(2)into high-value added gaseous fuels,thereby paving the way for the development of clean and renewable energy.Metal-organic frameworks(MOFs),characterized by their highly porous structure,exceptional CO_(2)adsorption capacity,and tunable architecture,have emerged as promising candidates for photocatalytic CO_(2)reduction.This review systematically examines the recent advancement in MOFs-based photocatalysts for CO_(2)reduction to CO.It begins with the overview of the fundamental mechanisms and processes of MOFs towards photocatalytic CO_(2)reduction.Subsequently,common strategies for the modulation of MOFs-based photocatalysts are summarized,including metallic site modification,functionalized ligand incorporation,morphological control,defect engineering,and heterostructure construction.Notably,the review analyzes the critical factors contributing to the high selectivity of CO_(2)photoreduction to CO from both thermodynamic and kinetic perspectives.The conclusion addresses current challenges and future perspectives in designing highly efficient photocatalysts with abundant active sites,providing valuable insights for their continued development.
基金supported by the National Natural Science Foundation of China (Grant Nos.T2325027,12274448,T2350007,12404239,12174041,12325405,12090054,and T2221001)the National Key R&D Program of China (Grant No.2022YFF0503504)。
文摘The intrinsic pressure framework,which treats self-propelling force as an external force,provides a convenient and consistent description of mechanical equilibrium in active matter.However,direct experimental evidence is still lacking.To validate this framework,here we employ a programmable robotic platform,where a single light-controlled wheeled robot travels in an activity landscape.Our experiments quantitatively demonstrate that the intrinsic pressure difference across the activity interface is balanced by the emerged polarization force.This result unambiguously confirms the theoretical predictions,thus validating the intrinsic pressure framework and laying the experimental foundation for the intrinsic pressure-based mechanical description of dry active matter.
基金The researchers would like to thank the Deanship of Graduate Studies and Scientific Research at Qassim University for financial support(QU-APC-2025)。
文摘The evolution of cities into digitally managed environments requires computational systems that can operate in real time while supporting predictive and adaptive infrastructure management.Earlier approaches have often advanced one dimension—such as Internet of Things(IoT)-based data acquisition,Artificial Intelligence(AI)-driven analytics,or digital twin visualization—without fully integrating these strands into a single operational loop.As a result,many existing solutions encounter bottlenecks in responsiveness,interoperability,and scalability,while also leaving concerns about data privacy unresolved.This research introduces a hybrid AI–IoT–Digital Twin framework that combines continuous sensing,distributed intelligence,and simulation-based decision support.The design incorporates multi-source sensor data,lightweight edge inference through Convolutional Neural Networks(CNN)and Long ShortTerm Memory(LSTM)models,and federated learning enhanced with secure aggregation and differential privacy to maintain confidentiality.A digital twin layer extends these capabilities by simulating city assets such as traffic flows and water networks,generating what-if scenarios,and issuing actionable control signals.Complementary modules,including model compression and synchronization protocols,are embedded to ensure reliability in bandwidth-constrained and heterogeneous urban environments.The framework is validated in two urban domains:traffic management,where it adapts signal cycles based on real-time congestion patterns,and pipeline monitoring,where it anticipates leaks through pressure and vibration data.Experimental results show a 28%reduction in response time,a 35%decrease in maintenance costs,and a marked reduction in false positives relative to conventional baselines.The architecture also demonstrates stability across 50+edge devices under federated training and resilience to uneven node participation.The proposed system provides a scalable and privacy-aware foundation for predictive urban infrastructure management.By closing the loop between sensing,learning,and control,it reduces operator dependence,enhances resource efficiency,and supports transparent governance models for emerging smart cities.
文摘The inspection of engine lubricating oil can give an indication of the internal condition of an engine. By means of the Object-Oriented Programming (OOP), an expert system is developed in this paper to computerize the inspection. The traditional components of an expert system, such us knowledge base, inference engine and user interface are reconstructed and integrated, based on the Microsoft Foundation Class (MFC) library. To testify the expert system, an inspection example is given at the end of this paper.
文摘Expert systems (ESs) are being increasingly applied to the fault diagnosis of engines. Based on the idea of ES template (EST), an object-oriented rule-type EST is emphatically studied on such aspects as the object-oriented knowledge representation, the heuristic inference engine with an improved depth-first search (DFS) and the graphical user interface. A diagnositic ES instance for debris on magnetic chip detectors (MCDs) is then created with the EST. The spot running shows that the rule-type EST enhances the abilities of knowledge representation and heuristic inference, and breaks a new way for the rapid construction and implementation of ES.
基金The National Natural Science Foundation of China(No.60425206,60633010)
文摘This paper uses three size metrics,which are collectable during the design phase,to analyze the potentially confounding effect of class size on the associations between object-oriented（OO）metrics and maintainability.To draw as many general conclusions as possible,the confounding effect of class size is analyzed on 127 C＋＋ systems and 113 Java systems.For each OO metric,the indirect effect that represents the distortion of the association caused by class size and its variance for individual systems is first computed.Then,a statistical meta-analysis technique is used to compute the average indirect effect over all the systems and to determine if it is significantly different from zero.The experimental results show that the confounding effects of class size on the associations between OO metrics and maintainability generally exist,regardless of whatever size metric is used.Therefore,empirical studies validating OO metrics on maintainability should consider class size as a confounding variable.
文摘A visual object-oriented software for lane following on intelligent highway system (IHS) is proposed. According to object-oriented theory, 3 typical user services of self-check, transfer of human driving and automatic running and abnormal information input from the sensors are chosen out. In addition, the functions of real-time display, information exchanging interface, determination and operation interweaving in the 3 user services are separated into 5 object-oriented classes. Moreover, the 5 classes are organized in the visual development environment. At last, experimental result proves the validity and reliability of the control application.
文摘Presents an object-oriented NBO(node-block-object)data model for hypermedia system.It takes advantage of object-oriented method,encapsulates all multimedia information as well as link functions in one unit,It has successfully achieved cross link to offer much better flexibility and two-way link to realize forward and backward searching in hypermedia system navigation.A conditional relation on links has also been realized,that is very helpful for time sensitive multimedia information processing and multimedia object cooperation.
基金The National Science Fund for Distinguished Young Scholars (No.60425206)the National Natural Science Foundation of China (No.60633010)the Natural Science Foundation of Jiangsu Province(No.BK2006094)
文摘From a perspective of theoretical study, there are some faults in the models of the existing object-oriented programming languages. For example, C# does not support metaclasses, the primitive types of Java and C# are not objects, etc. So, this paper designs a programming language, Shrek, which integrates many language features and constructions in a compact and consistent model. The Shrek language is a class-based purely object-oriented language. It has a dynamical strong type system, and adopts a single-inheritance mechanism with Mixin as its complement. It has a consistent class instantiation and inheritance structure, and the ability of intercessive structural computational reflection, which enables it to support safe metaclass programming. It also supports multi-thread programming and automatic garbage collection, and enforces its expressive power by adopting a native method mechanism. The prototype system of the Shrek language is implemented and anticipated design goals are achieved.
基金Under the auspices of the National Natural Science Foundation of China (No. 40301038), Talents Recruitment Foun-dation of Nanjing University
文摘With the wide use of high-resolution remotely sensed imagery, the object-oriented remotely sensed informa- tion classification pattern has been intensively studied. Starting with the definition of object-oriented remotely sensed information classification pattern and a literature review of related research progress, this paper sums up 4 developing phases of object-oriented classification pattern during the past 20 years. Then, we discuss the three aspects of method- ology in detail, namely remotely sensed imagery segmentation, feature analysis and feature selection, and classification rule generation, through comparing them with remotely sensed information classification method based on per-pixel. At last, this paper presents several points that need to be paid attention to in the future studies on object-oriented RS in- formation classification pattern: 1) developing robust and highly effective image segmentation algorithm for multi-spectral RS imagery; 2) improving the feature-set including edge, spatial-adjacent and temporal characteristics; 3) discussing the classification rule generation classifier based on the decision tree; 4) presenting evaluation methods for classification result by object-oriented classification pattern.
