Teacher–student relationships play a vital role in improving college students’academic performance and the quality of higher education.However,empirical studies with substantial data-driven insights remain limited.T...Teacher–student relationships play a vital role in improving college students’academic performance and the quality of higher education.However,empirical studies with substantial data-driven insights remain limited.To address this gap,this study collected 3278 questionnaires from seven universities across four provinces in China to analyze the key factors affecting college students’academic performance.A machine learning framework,CQFOA-KELM,was developed by enhancing the Fruit Fly Optimization Algorithm(FOA)with Covariance Matrix Adaptation Evolution Strategy(CMAES)and Quadratic Approximation(QA).CQFOA significantly improved population diversity and was validated on the IEEE CEC2017 benchmark functions.The CQFOA-KELM model achieved an accuracy of 98.15%and a sensitivity of 98.53%in predicting college students’academic performance.Additionally,it effectively identified the key factors influencing academic performance through the feature selection process.展开更多
As a kind of ionic artificial muscle material,Ionic Polymer-Metal Composites(IPMCs)have the advantages of a low drive current,light weight,and significant flexibility.IPMCs are widely used in the fields of biomedicine...As a kind of ionic artificial muscle material,Ionic Polymer-Metal Composites(IPMCs)have the advantages of a low drive current,light weight,and significant flexibility.IPMCs are widely used in the fields of biomedicine,soft robots,etc.However,the displacement and blocking force of the traditional sheet-type Nafion-IPMC need to be improved,and it has the limitation of unidirectional actuation.In this paper,a new type of short side chain Aquivion material is used as the polymer in the IPMC.The cylindrical IPMC is prepared by extrusion technology to improve its actuation performance and realize multi-degree-of-freedom motion.In comparison to the traditional Nafion-IPMC,the ion exchange capacity,specific capacitance,and conductivity of Aquivion-IPMC are improved by 28%,27%,and 32%,respectively,and the displacement and blocking force are improved by 57%and 25%,respectively.The cylindrical actuators can be deflected in eight directions.This indicates that Aquivion,as a polymer membrane for IPMC,holds significant application potential.By designing a cylindrical IPMC electrode distribution,the multi-degree-of-freedom deflection of IPMC can be realized.展开更多
Insufficient interfacial activity and poor wettability between fibers and matrix are the two main factors limiting the improvement of mechanical properties of Carbon Fiber Reinforced Plastics(CFRP).Owl feathers are kn...Insufficient interfacial activity and poor wettability between fibers and matrix are the two main factors limiting the improvement of mechanical properties of Carbon Fiber Reinforced Plastics(CFRP).Owl feathers are known for their unique compact structure;they are not only lightweight but also strong.In this study,an in-depth look at owl feathers was made and it found that owl feathers not only have the macro branches structure between feather shafts and branches but also have fine feather structures on the branches.The presence of these fine feather structures increases the specific surface area of the plume branches and allows neighboring plume branches to hook up with each other,forming an effective mechanical interlocking structure.These structures bring owl feathers excellent mechanical properties.Inspired by the natural structure of owl feathers,a weaving technique and a sizing process were combined to prepare bionic Carbon Fiber(CF)fabrics and then to fabricate the bionic CFRP with structural characteristics similar to owl feathers.To evaluate the effect of the fine feather structure on the mechanical properties of CFRP,a mechanical property study on CFRP with and without the fine feather imitation structure were conducted.The experimental results show that the introduction of the fine feather branch structure enhance the mechanical properties of CFRP significantly.Specifically,the tensile strength of the composites increased by 6.42%and 13.06%and the flexural strength increased by 8.02%and 16.87%in the 0°and 90°sample directions,respectively.These results provide a new design idea for the improvement of the mechanical properties of the CFRP,promoting the application of CFRP in engineering fields,such as automotive transportation,rail transit,aerospace,and construction.展开更多
Moles exhibit highly effective capabilities due to their unique body structures and digging techniques,making them ideal models for biomimetic research.However,a major challenge for mole-inspired robots lies in overco...Moles exhibit highly effective capabilities due to their unique body structures and digging techniques,making them ideal models for biomimetic research.However,a major challenge for mole-inspired robots lies in overcoming resistance in granular media when burrowing with forelimbs.In the absence of effective forepaw design strategies,most robotic designs rely on increased power to enhance performance.To address this issue,this paper employs Resistive Force Theory to optimize mole-inspired forepaws,aiming to enhance burrowing efficiency.By analyzing the relationship between geometric parameters and burrowing forces,we propose several forepaw design variations.Through granular resistance assessments,an effective forepaw configuration is identified and further refined using parameters such as longitudinal and transverse curvature.Subsequently,the Particle Swarm Optimization algorithm is applied to determine the optimal forepaw design.In force-loading tests,the optimized forepaw demonstrated a 79.44%reduction in granular lift force and a 22.55%increase in propulsive force compared with the control group.In robotic burrowing experiments,the optimized forepaw achieved the longest burrow displacement(179.528 mm)and the lowest burrowing lift force(0.9355 mm/s),verifying its effectiveness in reducing the lift force and enhancing the propulsive force.展开更多
This paper introduces the Surrogate-assisted Multi-objective Grey Wolf Optimizer(SMOGWO)as a novel methodology for addressing the complex problem of empty-heavy train allocation,with a focus on line utilization balanc...This paper introduces the Surrogate-assisted Multi-objective Grey Wolf Optimizer(SMOGWO)as a novel methodology for addressing the complex problem of empty-heavy train allocation,with a focus on line utilization balance.By integrating surrogate models to approximate the objective functions,SMOGWO significantly improves the efficiency and accuracy of the optimization process.The effectiveness of this approach is evaluated using the CEC2009 multi-objective test function suite,where SMOGWO achieves a superiority rate of 76.67%compared to other leading multi-objective algorithms.Furthermore,the practical applicability of SMOGWO is demonstrated through a case study on empty and heavy train allocation,which validates its ability to balance line capacity,minimize transportation costs,and optimize the technical combination of heavy trains.The research highlights SMOGWO's potential as a robust solution for optimization challenges in railway transportation,offering valuable contributions toward enhancing operational efficiency and promoting sustainable development in the sector.展开更多
Valvular Heart Disease(VHD),including stenosis and regurgitation,is a significant contributor to global cardiovascular morbidity.Current prosthetic solutions mechanical and bioprosthetic heart valves each present majo...Valvular Heart Disease(VHD),including stenosis and regurgitation,is a significant contributor to global cardiovascular morbidity.Current prosthetic solutions mechanical and bioprosthetic heart valves each present major limitation.Mechanical valves require lifelong anticoagulation due to thrombogenicity,while bioprosthetic valves suffer from structural degeneration and limited durability.Polymeric Heart Valves(PHVs)have emerged as promising alternatives,aiming to integrate the mechanical resilience of synthetic materials with the biocompatibility and hemodynamic performance of natural valves.Recent studies have explored advanced polymers such as Polyhedral Oligomeric Silsesquioxane–Polycarbonate–Urea–Urethane(POSS-PCU),Silicone–Polyurethane Urea(SiPUU),and nanocomposites like Polyvinyl Alcohol(PVA)and SIBS for their enhanced thromboresistance,calcification resistance,and long-term mechanical durability.Complementary to material innovation,fabrication methods such as 3D printing,Melt Electrospinning Writing(MEW),and Focused Rotary Jet Spinning(FRJS)offer patient-specific designs and microstructural control.This review systematically compares traditional and next-generation prostheses,examines mechanical and biological performance,and discusses critical design challenges including porosity,thrombogenicity,and leaflet calcification.Finite Element Analysis(FEA)and Computational Fluid Dynamics(CFD)are highlighted for optimizing design and simulating physiological conditions.By presenting recent preclinical progress and manufacturing strategies,this review outlines a translational roadmap toward clinically viable,biomimetic polymeric heart valves capable of addressing the needs of both adult and pediatric patients.Compared to traditional bioprosthetic tissues,advanced polymers offer better resistance to calcification,reduced thrombogenicity,and tunable mechanical properties.展开更多
Biomimetics has recently emerged as an interesting approach to enhance renewable energy technologies.In this work,bioinspired Trailing Edge Serrations(TES)were evaluated on a typical Vertical Axis Wind Turbine(VAWT)ai...Biomimetics has recently emerged as an interesting approach to enhance renewable energy technologies.In this work,bioinspired Trailing Edge Serrations(TES)were evaluated on a typical Vertical Axis Wind Turbine(VAWT)airfoil,the DU06-W200.As noise reduction benefits of these mechanisms are already well-established,this study focuses on their impact on airfoil and VAWT performance.A saw-tooth geometry was chosen based on VAWT specifications and existing research,followed by a detailed assessment through wind tunnel tests using a newly developed aerodynamic balance.For a broad spectrum of attack angles and Reynolds numbers,lift,drag,and pitching moments were carefully measured.The results show that TES enhance the lift-to-drag ratio,especially in stalled conditions,and postpone stall at negative angles,expanding the effective performance range.A notable increase in pitching moment also is also observed,relevant for blade-strut joint design.Additionally,the impact on turbine performance was estimated using an analytical model,demonstrating excellent accuracy when compared against previous experimental results.TES offer a modest 2%improve-ment in peak performance,though they slightly narrow the optimal tip-speed ratio zone.Despite this,the potential noise reduction and performance gains make TES a valuable addition to VAWT designs,especially in urban settings.展开更多
Hemoglobin A1c(HbA1c),a key biomarker for long-term glucose regulation,is essential for diagnosing and managing diabetes mellitus.However,conventional HbA1c detection methods often suffer from limited sensitivity,narr...Hemoglobin A1c(HbA1c),a key biomarker for long-term glucose regulation,is essential for diagnosing and managing diabetes mellitus.However,conventional HbA1c detection methods often suffer from limited sensitivity,narrow detection ranges,slow response times,and poor long-term stability.In this study,we developed a high-performance amperometric biosensor for the selective detection of Fructosyl Valine(FV),a model compound for HbA1c,by immobilizing Fructosyl Amino Acid Oxidase(FAAO)onto a glassy carbon electrode modified with electrospun polyaniline/polyindole-Mn_(2)O_(3) nanofibers.Operating at an applied potential of 0.27 V versus Ag/AgCl,the biosensor achieved a rapid detection time of 2 s for FV concentrations up to 50µM,with a signal-to-noise ratio of 3.Under optimized conditions(pH 7.0 and 35℃),the biosensor exhibited a wide linear detection range from 0.1 to 3 mM and a high sensitivity of 38.42µA/mM.Importantly,the sensor retained approximately 70% of its initial activity after 193 days of storage at 4℃,demonstrating excellent long-term stability.These results suggest that the FAAO/polyaniline/polyindole-Mn_(2)O_(3) nanocomposite-based biosensor offers a promising platform for sensitive,rapid,and durable detection of HbA1c,providing significant potential for improving diabetes monitoring and management.展开更多
Jaundice,common condition in newborns,is characterized by yellowing of the skin and eyes due to elevated levels of bilirubin in the blood.Timely detection and management of jaundice are crucial to prevent potential co...Jaundice,common condition in newborns,is characterized by yellowing of the skin and eyes due to elevated levels of bilirubin in the blood.Timely detection and management of jaundice are crucial to prevent potential complications.Traditional jaundice assessment methods rely on visual inspection or invasive blood tests that are subjective and painful for infants,respectively.Although several automated methods for jaundice detection have been developed during the past few years,a limited number of reviews consolidating these developments have been presented till date,making it essential to systematically evaluate and present the existing advancements.This paper fills this gap by providing a thorough survey of automated methods for jaundice detection in neonates.The primary focus of the survey is to review the existing methodologies,techniques,and technologies used for neonatal jaundice detection.The key findings from the review indicate that image-based bilirubinometers and transcutaneous bilirubinometers are promising non-invasive alternatives,and provide a good trade-off between accuracy and ease of use.However,their effectiveness varies with factors like skin pigmentation,gestational age,and measurement site.Spectroscopic and biosensor-based techniques show high sensitivity but need further clinical validation.Despite advancements,several challenges including device calibration,large-scale validation,and regulatory barriers still haunt the researchers.Standardization,regulatory compliances,and seamless integration into healthcare workflows are the key hurdles to be addressed.By consolidating the current knowledge and discussing the challenges and opportunities in this field,this survey aims to contribute to the advancement of automatic jaundice detection and ultimately improve neonatal care.展开更多
Peri-implant mucositis is the mucosal inflammatory lesion around implants that does not result in the loss of the peri-implant bone that supports them.Furthermore,Peri-implantitis(PI),a medical condition affecting the...Peri-implant mucositis is the mucosal inflammatory lesion around implants that does not result in the loss of the peri-implant bone that supports them.Furthermore,Peri-implantitis(PI),a medical condition affecting the tissues surrounding dental implants,is characterized by inflammation and a progressive loss of supporting bone.Of the several types of Nanoparticles(NPs),a lot of research has been done on the effects of Metal NPs(MNPs)-such as those made of silver,zinc,and copper-and non-MNPs-such as those made of Graphene Oxide(GO),Carbon-based NPs(CNPs),and Chitosan(CS)NPs-on peri-implant microorganisms.These NPs serve as antibacterial and anti-inflammatory agents and cover dental implants.Furthermore,Peri-implant Disease(PID)and many others in the oral and dental domains may be effectively treated using Green Synthesis(GS)NPs enabled by various biological sources.Compared to chemical and physical processes,GS offers several benefits,including non-toxicity,pollution-free production,environmental friendliness,cost-effectiveness,and sustainability.Hence,the significance of GS NPs,both MNPs and non-MNPs,was first explored in this work.Using eco-friendly methods,we then reviewed the PID-related effects of various MNPs and non-MNPs synthesized.NPs,both MNPs and non-MNPs,have great potential as a future therapy for PI,and the environmentally friendly manufacturing process may play a significant role in this development.Consequently,we have looked into the benefits and drawbacks of this treatment method in terms of clinical practice in our study.Research from reputable sources,such as PubMed and Google Scholar,was used to compile the papers included in the review article.Researchers may make progress in producing MNPs and non-MNPs NPs for treating PI by adopting GS.展开更多
In the visual‘teach-and-repeat’task,a mobile robot is expected to perform path following based on visual memory acquired along a route that it has traversed.Following a visually familiar route is also a critical nav...In the visual‘teach-and-repeat’task,a mobile robot is expected to perform path following based on visual memory acquired along a route that it has traversed.Following a visually familiar route is also a critical navigation skill for foraging insects,which they accomplish robustly despite tiny brains.Inspired by the mushroom body structure in the insect brain and its well-understood associative learning ability,we develop an embodied model that can accomplish visual teach-and-repeat efficiently.Critical to the performance is steering the robot body reflexively based on the relative familiarity of left and right visual fields,eliminating the need for stopping and scanning regularly for optimal directions.The model is robust against noise in visual processing and motor control and can produce performance comparable to pure pursuit or visual localisation methods that rely heavily on the estimation of positions.The model is tested on a real robot and also shown to be able to correct for significant intrinsic steering bias.展开更多
Piezoelectric actuators are widely utilized in positioning systems to realize nano-scale resolution. However, the backward motion always generates for some piezoelectric actuators, which reduces the working efficiency...Piezoelectric actuators are widely utilized in positioning systems to realize nano-scale resolution. However, the backward motion always generates for some piezoelectric actuators, which reduces the working efficiency. Bionic motions have already been employed in the field of piezoelectric actuators to realize better performance. By imitating the movement form of seals, seal type piezoelectric actuator is capable to realize large operating strokes easily. Nevertheless, the conventional seal type piezoelectric actuator has a complicated structure and control system, which limits further applications. Hence, an improved bionic piezoelectric actuator is proposed to realize a long motion stroke and eliminate backward movement with a simplified structure and control method in this study. The composition and motion principle of the designed actuator are discussed, and the performance is investigated with simulations and experiments. Results confirm that the presented actuator effectively realizes the linear movement that has a large working stroke stably without backward motion. The smallest stepping displacement ΔL is 0.2 μm under 1 Hz and 50 V. The largest motion speed is 900 μm/s with 900 Hz and 120 V. The largest vertical and horizontal load are 250 g and 12 g, respectively. This work shows that the improved bionic piezoelectric actuator is feasible for eliminating backward motion and has a great working ability.展开更多
Bamboo is an important building material with natural hygroscopicity,and the mechanism of water effects on its deformation and fracture behavior has not been fully revealed.For this purpose,a novel in-situ testing met...Bamboo is an important building material with natural hygroscopicity,and the mechanism of water effects on its deformation and fracture behavior has not been fully revealed.For this purpose,a novel in-situ testing method was developed in this study,which coupled Acoustic Emission(AE)and Digital Image Correlation(DIC)techniques.This method was used to investigate the effects of various Moisture Content(MC)levels(0,6%,15%,and 25%)on the tensile behavior of bamboo.The results showed that as the MC increased from 0 to 25%,the tensile strength of bamboo decreased from 163 to 110 MPa,the Young's modulus dropped from 8.5 to 3.9 GPa,and the elongation increased from 4.3 to 14%.An increase in MC could effectively promote the occurrence of subcritical cracks and micro-interfacial dissociations in bamboo.The synergistic effect of these two factors facilitated strain dispersion,ensuring adaptability to large deformations.Additionally,it was found that an increase in MC could significantly alter the fracture mode.This ingenious synergistic effect in bamboo was revealed for the first time in this study.The mechanisms discovered in this study may provide some important insights into the design and fabrication of advanced biomimetic heterostructures and biomimetic interfacial materials.展开更多
The stiffness information of the grasped object at the initial contact stage can be effectively used to adjust the grasping force of the prosthetic hand,thereby preventing damage to the object.However,the object’s de...The stiffness information of the grasped object at the initial contact stage can be effectively used to adjust the grasping force of the prosthetic hand,thereby preventing damage to the object.However,the object’s deformation and contact force are often minimal during the initial stage and not easily obtained directly.Additionally,stiffness estimation methods for prosthetic hands often require contact sensors,which can easily lead to poor contact issues.To address the above issues,this paper proposes the model-based stiffness estimation of grasped objects for underactuated prosthetic hands without force sensors.First,the kinematic model is linearized at the contact points to achieve the estimation of the linkage angles in the underactuated prosthetic hand.Secondly,the motor parameters are estimated using the Kalman filter method,and the grasping force is obtained from the dynamic model of the underactuated prosthetic hand.Finally,the contact model of the prosthetic hand grasping an object is established,and an online stiffness estimation method based on the contact model for the grasped object is proposed using the iterative reweighted least squares method.Experimental results show that this method can estimate the stiffness of grasped objects within 250 ms without contact sensors.展开更多
Soft robots,as a modern gateway to unlocking the mysteries of underwater realms,present new complexities.Modeling their behavior when in contact with external forces,whether point-based or distributed,is a primary cha...Soft robots,as a modern gateway to unlocking the mysteries of underwater realms,present new complexities.Modeling their behavior when in contact with external forces,whether point-based or distributed,is a primary challenge due to the nature of soft bodies.To obtain a holistic view of the system’s behavior determining the governing dynamics is deemed necessary.This paper proposes a new technique to simulate the dynamic lateral undulation of a soft robotic fish with a cable-driven soft tail.By integrating the rigid finite element method with rigid-body robotics,the model represents the undulation of a finite number of rigid elements connected through a set of torsional spring and damper.Instead of directly modeling external forces,we substitute equivalent joint torques into the system dynamics,allowing us to consider external effects without complicating the model.The resulting model yields valuable insights into the system’s behavior,including propulsive and lateral forces.A comparison with experimental results shows strong agreement,with a tip amplitude error of 10% at 0.8 Hz,5.25% at 1.6 Hz and 2.54%at 2.2 Hz flapping frequency.These findings illuminate the influence of lateral undulation on the overall dynamics,paving the way for fully autonomous robotic fish.展开更多
Flexible sensors,a class of devices that can convert external mechanical or physical signals into changes in resistance,capacitance,or current,have developed rapidly since the concept was first proposed.Due to the spe...Flexible sensors,a class of devices that can convert external mechanical or physical signals into changes in resistance,capacitance,or current,have developed rapidly since the concept was first proposed.Due to the special properties and naturally occurring excellent microstructures of biomaterials,it can provide more desirable properties to flexible devices.This paper systematically discusses the commonly used biomaterials for bio-based flexible devices in current research applications and their deployment in preparing flexible sensors with different mechanisms.According to the characteristics of other properties and application requirements of biomaterials,the mechanisms of their functional group properties,special microstructures,and bonding interactions in the context of various sensing applications are presented in detail.The practical application scenarios of biomaterial-based flexible devices are highlighted,including human-computer interactions,energy harvesting,wound healing,and related biomedical applications.Finally,this paper also reviews in detail the limitations of biobased materials in the construction of flexible devices and presents challenges and trends in the development of biobased flexible sensors,as well as to better explore the properties of biomaterials to ensure functional synergy within the composite materials.展开更多
The lower limb assisted exoskeleton is a prominent area of research within the field of exoskeleton technology.However,several challenges remain,including the development of flexible actuators,high battery consumption...The lower limb assisted exoskeleton is a prominent area of research within the field of exoskeleton technology.However,several challenges remain,including the development of flexible actuators,high battery consumption,the risk of joint misalignment,and limited assistive capabilities.This paper proposes a compact flexible actuator incorporating two elastic elements named Adjustable Energy Storage Series Elastic Actuator(AES-SEA),which combining an adjustable energy storage device with a series elastic actuator for application in exoskeleton hip joints.This design aims to enhance energy efficiency and improve assistive effects.Subsequently,we introduce a novel knee joint bionic structure based on a pulley-groove configuration and a four-link mechanism,designed to replicate human knee joint motion and prevent joint misalignment.Additionally,we propose an innovative controller that integrates concepts from Linear Quadratic Regulator(LQR)control and virtual tunnel for level walking assistance.This controller modulates the assisted reference trajectory using the virtual tunnel concept,enabling different levels of assistance both inside and outside the tunnel by adjusting the parameters Q and R.This approach enhances the assisting force while ensuring the safety of human-computer interaction.Finally,metabolic experiments were conducted to evaluate the effectiveness of the exoskeleton assistance.展开更多
The unidirectional flow of lymphatic fluid depends significantly on the valve structure within the lymphatic system,thus impacting tumor cell metastasis via the lymphatic system.However,existing microdevices for study...The unidirectional flow of lymphatic fluid depends significantly on the valve structure within the lymphatic system,thus impacting tumor cell metastasis via the lymphatic system.However,existing microdevices for studying tumor lymphatic metastasis have overlooked the impact of open-close valve structures on the lymphatic flow field.This paper presents a novel biomimetic lymphatic valve structure,which innovatively incorporates the thin-shell theory into the modeling of lymphatic-mimicking structures.Through finite element simulations,we have systematically analyzed the influence of valve thickness and elasticity on its deformation characteristics.Materials closely matching the actual properties of biological tissues are synthesized.And the soft-etching technique was used to fabricate lymphomimetic microchannels,which were then tested to evaluate their capability in intercepting unidirectional flow.The results showed that the lymphomimetic valve structure had no observable leaks and effectively intercepted unidirectional flow.Our study not only elucidates the mechanism of lymphatic circulation but also presents a dependable biomimetic model that could facilitate additional biological investigations and phenotypic drug screening.展开更多
Feature fusion is an important technique in medical image classification that can improve diagnostic accuracy by integrating complementary information from multiple sources.Recently,Deep Learning(DL)has been widely us...Feature fusion is an important technique in medical image classification that can improve diagnostic accuracy by integrating complementary information from multiple sources.Recently,Deep Learning(DL)has been widely used in pulmonary disease diagnosis,such as pneumonia and tuberculosis.However,traditional feature fusion methods often suffer from feature disparity,information loss,redundancy,and increased complexity,hindering the further extension of DL algorithms.To solve this problem,we propose a Graph-Convolution Fusion Network with Self-Supervised Feature Alignment(Self-FAGCFN)to address the limitations of traditional feature fusion methods in deep learning-based medical image classification for respiratory diseases such as pneumonia and tuberculosis.The network integrates Convolutional Neural Networks(CNNs)for robust feature extraction from two-dimensional grid structures and Graph Convolutional Networks(GCNs)within a Graph Neural Network branch to capture features based on graph structure,focusing on significant node representations.Additionally,an Attention-Embedding Ensemble Block is included to capture critical features from GCN outputs.To ensure effective feature alignment between pre-and post-fusion stages,we introduce a feature alignment loss that minimizes disparities.Moreover,to address the limitations of proposed methods,such as inappropriate centroid discrepancies during feature alignment and class imbalance in the dataset,we develop a Feature-Centroid Fusion(FCF)strategy and a Multi-Level Feature-Centroid Update(MLFCU)algorithm,respectively.Extensive experiments on public datasets LungVision and Chest-Xray demonstrate that the Self-FAGCFN model significantly outperforms existing methods in diagnosing pneumonia and tuberculosis,highlighting its potential for practical medical applications.展开更多
Pacinian Corpuscle(PC)is the largest tactile vibration receptor in mammalian skin,with a layered structure that enables signal amplification and high-pass filtering functions.Modern robots feature vibro-tactile sensor...Pacinian Corpuscle(PC)is the largest tactile vibration receptor in mammalian skin,with a layered structure that enables signal amplification and high-pass filtering functions.Modern robots feature vibro-tactile sensors with excellent mechanical properties and fine resolution,but these sensors are prone to low-frequency noise interference when detecting high-frequency vibrations.In this study,a bionic PC with a longitudinally decreasing dynamic fractal structure is proposed.By creating a lumped parameter model of the PC’s layered structure,the bionic PC made of gelatin-chitosan based hydrogel can achieve high-pass filtering and specific frequency band signal amplification without requiring back-end circuits.The experimental results demonstrate that the bionic PC retains the structural characteristics of a natural PC,and the influence of structural factors,such as the number of layers in its shell,on filtration characteristics is explored.Additionally,a vibration source positioning experiment was conducted to simulate the earthquake sensing abilities of elephants.This natural structural design simplifies the filter circuit,is low-cost,cost-effective,stable in performance,and reduces redundancy in the robot’s signal circuit.Integrating this technology with robots can enhance their environmental perception,thereby improving the safety of interactions.展开更多
文摘Teacher–student relationships play a vital role in improving college students’academic performance and the quality of higher education.However,empirical studies with substantial data-driven insights remain limited.To address this gap,this study collected 3278 questionnaires from seven universities across four provinces in China to analyze the key factors affecting college students’academic performance.A machine learning framework,CQFOA-KELM,was developed by enhancing the Fruit Fly Optimization Algorithm(FOA)with Covariance Matrix Adaptation Evolution Strategy(CMAES)and Quadratic Approximation(QA).CQFOA significantly improved population diversity and was validated on the IEEE CEC2017 benchmark functions.The CQFOA-KELM model achieved an accuracy of 98.15%and a sensitivity of 98.53%in predicting college students’academic performance.Additionally,it effectively identified the key factors influencing academic performance through the feature selection process.
基金financial support from the National Natural Science Foundation of China(Grant No.U1637101)The Research Fund of State Key Laboratory of Mechanics and Control for Aerospace Structures(1005-ZAG23011).
文摘As a kind of ionic artificial muscle material,Ionic Polymer-Metal Composites(IPMCs)have the advantages of a low drive current,light weight,and significant flexibility.IPMCs are widely used in the fields of biomedicine,soft robots,etc.However,the displacement and blocking force of the traditional sheet-type Nafion-IPMC need to be improved,and it has the limitation of unidirectional actuation.In this paper,a new type of short side chain Aquivion material is used as the polymer in the IPMC.The cylindrical IPMC is prepared by extrusion technology to improve its actuation performance and realize multi-degree-of-freedom motion.In comparison to the traditional Nafion-IPMC,the ion exchange capacity,specific capacitance,and conductivity of Aquivion-IPMC are improved by 28%,27%,and 32%,respectively,and the displacement and blocking force are improved by 57%and 25%,respectively.The cylindrical actuators can be deflected in eight directions.This indicates that Aquivion,as a polymer membrane for IPMC,holds significant application potential.By designing a cylindrical IPMC electrode distribution,the multi-degree-of-freedom deflection of IPMC can be realized.
基金supported by the Science and Technology Development Program of Jilin Province(No.20240101122JC)and(No.20240101143JC)the Key Scientific and Technological Research and Development Projects of Jilin Provincial Science and Technology Department(Grant Number 20230201108GX)。
文摘Insufficient interfacial activity and poor wettability between fibers and matrix are the two main factors limiting the improvement of mechanical properties of Carbon Fiber Reinforced Plastics(CFRP).Owl feathers are known for their unique compact structure;they are not only lightweight but also strong.In this study,an in-depth look at owl feathers was made and it found that owl feathers not only have the macro branches structure between feather shafts and branches but also have fine feather structures on the branches.The presence of these fine feather structures increases the specific surface area of the plume branches and allows neighboring plume branches to hook up with each other,forming an effective mechanical interlocking structure.These structures bring owl feathers excellent mechanical properties.Inspired by the natural structure of owl feathers,a weaving technique and a sizing process were combined to prepare bionic Carbon Fiber(CF)fabrics and then to fabricate the bionic CFRP with structural characteristics similar to owl feathers.To evaluate the effect of the fine feather structure on the mechanical properties of CFRP,a mechanical property study on CFRP with and without the fine feather imitation structure were conducted.The experimental results show that the introduction of the fine feather branch structure enhance the mechanical properties of CFRP significantly.Specifically,the tensile strength of the composites increased by 6.42%and 13.06%and the flexural strength increased by 8.02%and 16.87%in the 0°and 90°sample directions,respectively.These results provide a new design idea for the improvement of the mechanical properties of the CFRP,promoting the application of CFRP in engineering fields,such as automotive transportation,rail transit,aerospace,and construction.
基金financially supported in-part by the National Natural Science Foundation of China(52275011)the Natural Science Foundation of Guangdong Province(2023B1515020080)+3 种基金the Natural Science Foundation of Guangzhou(2024A04J2552)the Fundamental Research Funds for the Central Universities,the Young Elite Scientists Sponsorship Program by the China Association for Science and Technology(CAST)(2021QNRC001)the Guangdong Basic and Applied Basic Research Foundation(Grant No.2023A1515011253)the Higher Education Institution Featured Innovation Project of Department of Education of Guangdong Province(GrantNo.2023KTSCX138).
文摘Moles exhibit highly effective capabilities due to their unique body structures and digging techniques,making them ideal models for biomimetic research.However,a major challenge for mole-inspired robots lies in overcoming resistance in granular media when burrowing with forelimbs.In the absence of effective forepaw design strategies,most robotic designs rely on increased power to enhance performance.To address this issue,this paper employs Resistive Force Theory to optimize mole-inspired forepaws,aiming to enhance burrowing efficiency.By analyzing the relationship between geometric parameters and burrowing forces,we propose several forepaw design variations.Through granular resistance assessments,an effective forepaw configuration is identified and further refined using parameters such as longitudinal and transverse curvature.Subsequently,the Particle Swarm Optimization algorithm is applied to determine the optimal forepaw design.In force-loading tests,the optimized forepaw demonstrated a 79.44%reduction in granular lift force and a 22.55%increase in propulsive force compared with the control group.In robotic burrowing experiments,the optimized forepaw achieved the longest burrow displacement(179.528 mm)and the lowest burrowing lift force(0.9355 mm/s),verifying its effectiveness in reducing the lift force and enhancing the propulsive force.
基金supported by the National Natural Science Foundation of China(Project No.5217232152102391)+2 种基金Sichuan Province Science and Technology Innovation Talent Project(2024JDRC0020)China Shenhua Energy Company Limited Technology Project(GJNY-22-7/2300-K1220053)Key science and technology projects in the transportation industry of the Ministry of Transport(2022-ZD7-132).
文摘This paper introduces the Surrogate-assisted Multi-objective Grey Wolf Optimizer(SMOGWO)as a novel methodology for addressing the complex problem of empty-heavy train allocation,with a focus on line utilization balance.By integrating surrogate models to approximate the objective functions,SMOGWO significantly improves the efficiency and accuracy of the optimization process.The effectiveness of this approach is evaluated using the CEC2009 multi-objective test function suite,where SMOGWO achieves a superiority rate of 76.67%compared to other leading multi-objective algorithms.Furthermore,the practical applicability of SMOGWO is demonstrated through a case study on empty and heavy train allocation,which validates its ability to balance line capacity,minimize transportation costs,and optimize the technical combination of heavy trains.The research highlights SMOGWO's potential as a robust solution for optimization challenges in railway transportation,offering valuable contributions toward enhancing operational efficiency and promoting sustainable development in the sector.
文摘Valvular Heart Disease(VHD),including stenosis and regurgitation,is a significant contributor to global cardiovascular morbidity.Current prosthetic solutions mechanical and bioprosthetic heart valves each present major limitation.Mechanical valves require lifelong anticoagulation due to thrombogenicity,while bioprosthetic valves suffer from structural degeneration and limited durability.Polymeric Heart Valves(PHVs)have emerged as promising alternatives,aiming to integrate the mechanical resilience of synthetic materials with the biocompatibility and hemodynamic performance of natural valves.Recent studies have explored advanced polymers such as Polyhedral Oligomeric Silsesquioxane–Polycarbonate–Urea–Urethane(POSS-PCU),Silicone–Polyurethane Urea(SiPUU),and nanocomposites like Polyvinyl Alcohol(PVA)and SIBS for their enhanced thromboresistance,calcification resistance,and long-term mechanical durability.Complementary to material innovation,fabrication methods such as 3D printing,Melt Electrospinning Writing(MEW),and Focused Rotary Jet Spinning(FRJS)offer patient-specific designs and microstructural control.This review systematically compares traditional and next-generation prostheses,examines mechanical and biological performance,and discusses critical design challenges including porosity,thrombogenicity,and leaflet calcification.Finite Element Analysis(FEA)and Computational Fluid Dynamics(CFD)are highlighted for optimizing design and simulating physiological conditions.By presenting recent preclinical progress and manufacturing strategies,this review outlines a translational roadmap toward clinically viable,biomimetic polymeric heart valves capable of addressing the needs of both adult and pediatric patients.Compared to traditional bioprosthetic tissues,advanced polymers offer better resistance to calcification,reduced thrombogenicity,and tunable mechanical properties.
基金The authors wish to thank the financial support of the Spanish Ministry of Science,Innovation and Universities in reference to the Project:Efficiency improvement and noise reduction of a vertical axis wind turbine for urban environments(MERTURB)-Ref.MCINN-22-TED2021-131307B-100.
文摘Biomimetics has recently emerged as an interesting approach to enhance renewable energy technologies.In this work,bioinspired Trailing Edge Serrations(TES)were evaluated on a typical Vertical Axis Wind Turbine(VAWT)airfoil,the DU06-W200.As noise reduction benefits of these mechanisms are already well-established,this study focuses on their impact on airfoil and VAWT performance.A saw-tooth geometry was chosen based on VAWT specifications and existing research,followed by a detailed assessment through wind tunnel tests using a newly developed aerodynamic balance.For a broad spectrum of attack angles and Reynolds numbers,lift,drag,and pitching moments were carefully measured.The results show that TES enhance the lift-to-drag ratio,especially in stalled conditions,and postpone stall at negative angles,expanding the effective performance range.A notable increase in pitching moment also is also observed,relevant for blade-strut joint design.Additionally,the impact on turbine performance was estimated using an analytical model,demonstrating excellent accuracy when compared against previous experimental results.TES offer a modest 2%improve-ment in peak performance,though they slightly narrow the optimal tip-speed ratio zone.Despite this,the potential noise reduction and performance gains make TES a valuable addition to VAWT designs,especially in urban settings.
文摘Hemoglobin A1c(HbA1c),a key biomarker for long-term glucose regulation,is essential for diagnosing and managing diabetes mellitus.However,conventional HbA1c detection methods often suffer from limited sensitivity,narrow detection ranges,slow response times,and poor long-term stability.In this study,we developed a high-performance amperometric biosensor for the selective detection of Fructosyl Valine(FV),a model compound for HbA1c,by immobilizing Fructosyl Amino Acid Oxidase(FAAO)onto a glassy carbon electrode modified with electrospun polyaniline/polyindole-Mn_(2)O_(3) nanofibers.Operating at an applied potential of 0.27 V versus Ag/AgCl,the biosensor achieved a rapid detection time of 2 s for FV concentrations up to 50µM,with a signal-to-noise ratio of 3.Under optimized conditions(pH 7.0 and 35℃),the biosensor exhibited a wide linear detection range from 0.1 to 3 mM and a high sensitivity of 38.42µA/mM.Importantly,the sensor retained approximately 70% of its initial activity after 193 days of storage at 4℃,demonstrating excellent long-term stability.These results suggest that the FAAO/polyaniline/polyindole-Mn_(2)O_(3) nanocomposite-based biosensor offers a promising platform for sensitive,rapid,and durable detection of HbA1c,providing significant potential for improving diabetes monitoring and management.
基金funded by the Indian Council of Medical Research(ICMR),New Delhi,Government of India under Grant No.EM/SG/Dev.Res/124/0812-2023.
文摘Jaundice,common condition in newborns,is characterized by yellowing of the skin and eyes due to elevated levels of bilirubin in the blood.Timely detection and management of jaundice are crucial to prevent potential complications.Traditional jaundice assessment methods rely on visual inspection or invasive blood tests that are subjective and painful for infants,respectively.Although several automated methods for jaundice detection have been developed during the past few years,a limited number of reviews consolidating these developments have been presented till date,making it essential to systematically evaluate and present the existing advancements.This paper fills this gap by providing a thorough survey of automated methods for jaundice detection in neonates.The primary focus of the survey is to review the existing methodologies,techniques,and technologies used for neonatal jaundice detection.The key findings from the review indicate that image-based bilirubinometers and transcutaneous bilirubinometers are promising non-invasive alternatives,and provide a good trade-off between accuracy and ease of use.However,their effectiveness varies with factors like skin pigmentation,gestational age,and measurement site.Spectroscopic and biosensor-based techniques show high sensitivity but need further clinical validation.Despite advancements,several challenges including device calibration,large-scale validation,and regulatory barriers still haunt the researchers.Standardization,regulatory compliances,and seamless integration into healthcare workflows are the key hurdles to be addressed.By consolidating the current knowledge and discussing the challenges and opportunities in this field,this survey aims to contribute to the advancement of automatic jaundice detection and ultimately improve neonatal care.
文摘Peri-implant mucositis is the mucosal inflammatory lesion around implants that does not result in the loss of the peri-implant bone that supports them.Furthermore,Peri-implantitis(PI),a medical condition affecting the tissues surrounding dental implants,is characterized by inflammation and a progressive loss of supporting bone.Of the several types of Nanoparticles(NPs),a lot of research has been done on the effects of Metal NPs(MNPs)-such as those made of silver,zinc,and copper-and non-MNPs-such as those made of Graphene Oxide(GO),Carbon-based NPs(CNPs),and Chitosan(CS)NPs-on peri-implant microorganisms.These NPs serve as antibacterial and anti-inflammatory agents and cover dental implants.Furthermore,Peri-implant Disease(PID)and many others in the oral and dental domains may be effectively treated using Green Synthesis(GS)NPs enabled by various biological sources.Compared to chemical and physical processes,GS offers several benefits,including non-toxicity,pollution-free production,environmental friendliness,cost-effectiveness,and sustainability.Hence,the significance of GS NPs,both MNPs and non-MNPs,was first explored in this work.Using eco-friendly methods,we then reviewed the PID-related effects of various MNPs and non-MNPs synthesized.NPs,both MNPs and non-MNPs,have great potential as a future therapy for PI,and the environmentally friendly manufacturing process may play a significant role in this development.Consequently,we have looked into the benefits and drawbacks of this treatment method in terms of clinical practice in our study.Research from reputable sources,such as PubMed and Google Scholar,was used to compile the papers included in the review article.Researchers may make progress in producing MNPs and non-MNPs NPs for treating PI by adopting GS.
基金support from the Huawei Technologies Co.,Ltd.[grant number YBN2020045132].
文摘In the visual‘teach-and-repeat’task,a mobile robot is expected to perform path following based on visual memory acquired along a route that it has traversed.Following a visually familiar route is also a critical navigation skill for foraging insects,which they accomplish robustly despite tiny brains.Inspired by the mushroom body structure in the insect brain and its well-understood associative learning ability,we develop an embodied model that can accomplish visual teach-and-repeat efficiently.Critical to the performance is steering the robot body reflexively based on the relative familiarity of left and right visual fields,eliminating the need for stopping and scanning regularly for optimal directions.The model is robust against noise in visual processing and motor control and can produce performance comparable to pure pursuit or visual localisation methods that rely heavily on the estimation of positions.The model is tested on a real robot and also shown to be able to correct for significant intrinsic steering bias.
基金supported by The Key Science and Technology Plan Project of Jinhua City,China:2023-3-084,2023-2-011Zhejiang Provincial"Revealing the list and taking command"Project of China KYH06Y22349Open Fund Project of Key Laboratory of CNC Equipment reliability,Ministry of Education JLU-cncr-202407.
文摘Piezoelectric actuators are widely utilized in positioning systems to realize nano-scale resolution. However, the backward motion always generates for some piezoelectric actuators, which reduces the working efficiency. Bionic motions have already been employed in the field of piezoelectric actuators to realize better performance. By imitating the movement form of seals, seal type piezoelectric actuator is capable to realize large operating strokes easily. Nevertheless, the conventional seal type piezoelectric actuator has a complicated structure and control system, which limits further applications. Hence, an improved bionic piezoelectric actuator is proposed to realize a long motion stroke and eliminate backward movement with a simplified structure and control method in this study. The composition and motion principle of the designed actuator are discussed, and the performance is investigated with simulations and experiments. Results confirm that the presented actuator effectively realizes the linear movement that has a large working stroke stably without backward motion. The smallest stepping displacement ΔL is 0.2 μm under 1 Hz and 50 V. The largest motion speed is 900 μm/s with 900 Hz and 120 V. The largest vertical and horizontal load are 250 g and 12 g, respectively. This work shows that the improved bionic piezoelectric actuator is feasible for eliminating backward motion and has a great working ability.
基金funded by the Jilin Provincial Department of Science and Technology Fund Project 20240404049ZPthe National Key R and D Program of China(2022YFA1604000)+5 种基金the National Science Fund for Distinguished Young Scholars(51925504)the Foundation for Innovative Research Groups of the National Natural Science Foundation of China(52021003)the National Natural Science Foundation of China 52075220the China Postdoctoral Science Foundation Funded Project 2024M751087the Postdoctoral Fellowship Program of CPSF under Grant GZC20230946the Open Research Project of the State Key Laboratory of Strength and Vibration of Mechanical Structures SV2024-KF-13.
文摘Bamboo is an important building material with natural hygroscopicity,and the mechanism of water effects on its deformation and fracture behavior has not been fully revealed.For this purpose,a novel in-situ testing method was developed in this study,which coupled Acoustic Emission(AE)and Digital Image Correlation(DIC)techniques.This method was used to investigate the effects of various Moisture Content(MC)levels(0,6%,15%,and 25%)on the tensile behavior of bamboo.The results showed that as the MC increased from 0 to 25%,the tensile strength of bamboo decreased from 163 to 110 MPa,the Young's modulus dropped from 8.5 to 3.9 GPa,and the elongation increased from 4.3 to 14%.An increase in MC could effectively promote the occurrence of subcritical cracks and micro-interfacial dissociations in bamboo.The synergistic effect of these two factors facilitated strain dispersion,ensuring adaptability to large deformations.Additionally,it was found that an increase in MC could significantly alter the fracture mode.This ingenious synergistic effect in bamboo was revealed for the first time in this study.The mechanisms discovered in this study may provide some important insights into the design and fabrication of advanced biomimetic heterostructures and biomimetic interfacial materials.
基金supported by the National Natural Science Foundation of China under Grant 52275297.
文摘The stiffness information of the grasped object at the initial contact stage can be effectively used to adjust the grasping force of the prosthetic hand,thereby preventing damage to the object.However,the object’s deformation and contact force are often minimal during the initial stage and not easily obtained directly.Additionally,stiffness estimation methods for prosthetic hands often require contact sensors,which can easily lead to poor contact issues.To address the above issues,this paper proposes the model-based stiffness estimation of grasped objects for underactuated prosthetic hands without force sensors.First,the kinematic model is linearized at the contact points to achieve the estimation of the linkage angles in the underactuated prosthetic hand.Secondly,the motor parameters are estimated using the Kalman filter method,and the grasping force is obtained from the dynamic model of the underactuated prosthetic hand.Finally,the contact model of the prosthetic hand grasping an object is established,and an online stiffness estimation method based on the contact model for the grasped object is proposed using the iterative reweighted least squares method.Experimental results show that this method can estimate the stiffness of grasped objects within 250 ms without contact sensors.
文摘Soft robots,as a modern gateway to unlocking the mysteries of underwater realms,present new complexities.Modeling their behavior when in contact with external forces,whether point-based or distributed,is a primary challenge due to the nature of soft bodies.To obtain a holistic view of the system’s behavior determining the governing dynamics is deemed necessary.This paper proposes a new technique to simulate the dynamic lateral undulation of a soft robotic fish with a cable-driven soft tail.By integrating the rigid finite element method with rigid-body robotics,the model represents the undulation of a finite number of rigid elements connected through a set of torsional spring and damper.Instead of directly modeling external forces,we substitute equivalent joint torques into the system dynamics,allowing us to consider external effects without complicating the model.The resulting model yields valuable insights into the system’s behavior,including propulsive and lateral forces.A comparison with experimental results shows strong agreement,with a tip amplitude error of 10% at 0.8 Hz,5.25% at 1.6 Hz and 2.54%at 2.2 Hz flapping frequency.These findings illuminate the influence of lateral undulation on the overall dynamics,paving the way for fully autonomous robotic fish.
基金supported financially by the National Natural Science Foundation of China(52205308,22208120)the China Postdoctoral Science Foundation(2022M711300).
文摘Flexible sensors,a class of devices that can convert external mechanical or physical signals into changes in resistance,capacitance,or current,have developed rapidly since the concept was first proposed.Due to the special properties and naturally occurring excellent microstructures of biomaterials,it can provide more desirable properties to flexible devices.This paper systematically discusses the commonly used biomaterials for bio-based flexible devices in current research applications and their deployment in preparing flexible sensors with different mechanisms.According to the characteristics of other properties and application requirements of biomaterials,the mechanisms of their functional group properties,special microstructures,and bonding interactions in the context of various sensing applications are presented in detail.The practical application scenarios of biomaterial-based flexible devices are highlighted,including human-computer interactions,energy harvesting,wound healing,and related biomedical applications.Finally,this paper also reviews in detail the limitations of biobased materials in the construction of flexible devices and presents challenges and trends in the development of biobased flexible sensors,as well as to better explore the properties of biomaterials to ensure functional synergy within the composite materials.
基金supported by Guangdong Provincial Key Laboratory of Minimally Invasive Surgical Instruments and Manufacturing Technology(MISIMT-2021-4)the Fundamental Research Funds for the Central Universities(N2329001).
文摘The lower limb assisted exoskeleton is a prominent area of research within the field of exoskeleton technology.However,several challenges remain,including the development of flexible actuators,high battery consumption,the risk of joint misalignment,and limited assistive capabilities.This paper proposes a compact flexible actuator incorporating two elastic elements named Adjustable Energy Storage Series Elastic Actuator(AES-SEA),which combining an adjustable energy storage device with a series elastic actuator for application in exoskeleton hip joints.This design aims to enhance energy efficiency and improve assistive effects.Subsequently,we introduce a novel knee joint bionic structure based on a pulley-groove configuration and a four-link mechanism,designed to replicate human knee joint motion and prevent joint misalignment.Additionally,we propose an innovative controller that integrates concepts from Linear Quadratic Regulator(LQR)control and virtual tunnel for level walking assistance.This controller modulates the assisted reference trajectory using the virtual tunnel concept,enabling different levels of assistance both inside and outside the tunnel by adjusting the parameters Q and R.This approach enhances the assisting force while ensuring the safety of human-computer interaction.Finally,metabolic experiments were conducted to evaluate the effectiveness of the exoskeleton assistance.
基金supported by National Natural Science Foundation of National Key Research and Development Program of China(2020YFB2009002).
文摘The unidirectional flow of lymphatic fluid depends significantly on the valve structure within the lymphatic system,thus impacting tumor cell metastasis via the lymphatic system.However,existing microdevices for studying tumor lymphatic metastasis have overlooked the impact of open-close valve structures on the lymphatic flow field.This paper presents a novel biomimetic lymphatic valve structure,which innovatively incorporates the thin-shell theory into the modeling of lymphatic-mimicking structures.Through finite element simulations,we have systematically analyzed the influence of valve thickness and elasticity on its deformation characteristics.Materials closely matching the actual properties of biological tissues are synthesized.And the soft-etching technique was used to fabricate lymphomimetic microchannels,which were then tested to evaluate their capability in intercepting unidirectional flow.The results showed that the lymphomimetic valve structure had no observable leaks and effectively intercepted unidirectional flow.Our study not only elucidates the mechanism of lymphatic circulation but also presents a dependable biomimetic model that could facilitate additional biological investigations and phenotypic drug screening.
基金supported by the National Natural Science Foundation of China(62276092,62303167)the Postdoctoral Fellowship Program(Grade C)of China Postdoctoral Science Foundation(GZC20230707)+3 种基金the Key Science and Technology Program of Henan Province,China(242102211051,242102211042,212102310084)Key Scientiffc Research Projects of Colleges and Universities in Henan Province,China(25A520009)the China Postdoctoral Science Foundation(2024M760808)the Henan Province medical science and technology research plan joint construction project(LHGJ2024069).
文摘Feature fusion is an important technique in medical image classification that can improve diagnostic accuracy by integrating complementary information from multiple sources.Recently,Deep Learning(DL)has been widely used in pulmonary disease diagnosis,such as pneumonia and tuberculosis.However,traditional feature fusion methods often suffer from feature disparity,information loss,redundancy,and increased complexity,hindering the further extension of DL algorithms.To solve this problem,we propose a Graph-Convolution Fusion Network with Self-Supervised Feature Alignment(Self-FAGCFN)to address the limitations of traditional feature fusion methods in deep learning-based medical image classification for respiratory diseases such as pneumonia and tuberculosis.The network integrates Convolutional Neural Networks(CNNs)for robust feature extraction from two-dimensional grid structures and Graph Convolutional Networks(GCNs)within a Graph Neural Network branch to capture features based on graph structure,focusing on significant node representations.Additionally,an Attention-Embedding Ensemble Block is included to capture critical features from GCN outputs.To ensure effective feature alignment between pre-and post-fusion stages,we introduce a feature alignment loss that minimizes disparities.Moreover,to address the limitations of proposed methods,such as inappropriate centroid discrepancies during feature alignment and class imbalance in the dataset,we develop a Feature-Centroid Fusion(FCF)strategy and a Multi-Level Feature-Centroid Update(MLFCU)algorithm,respectively.Extensive experiments on public datasets LungVision and Chest-Xray demonstrate that the Self-FAGCFN model significantly outperforms existing methods in diagnosing pneumonia and tuberculosis,highlighting its potential for practical medical applications.
基金funded by the National Natural Science Foundation of China(No.52475190 and 52275191)China Postdoctoral Science Foundation Funded Project(No.2024M751165)the Tribology Science Fund of State Key Laboratory of Tribology in Advanced Equipment(No.SKLTKF24B17).
文摘Pacinian Corpuscle(PC)is the largest tactile vibration receptor in mammalian skin,with a layered structure that enables signal amplification and high-pass filtering functions.Modern robots feature vibro-tactile sensors with excellent mechanical properties and fine resolution,but these sensors are prone to low-frequency noise interference when detecting high-frequency vibrations.In this study,a bionic PC with a longitudinally decreasing dynamic fractal structure is proposed.By creating a lumped parameter model of the PC’s layered structure,the bionic PC made of gelatin-chitosan based hydrogel can achieve high-pass filtering and specific frequency band signal amplification without requiring back-end circuits.The experimental results demonstrate that the bionic PC retains the structural characteristics of a natural PC,and the influence of structural factors,such as the number of layers in its shell,on filtration characteristics is explored.Additionally,a vibration source positioning experiment was conducted to simulate the earthquake sensing abilities of elephants.This natural structural design simplifies the filter circuit,is low-cost,cost-effective,stable in performance,and reduces redundancy in the robot’s signal circuit.Integrating this technology with robots can enhance their environmental perception,thereby improving the safety of interactions.
