Dear Editor,We read with interest the article titled“Advances in the application of virtual reality technology in ophthalmic surgical skills training”[1].We congratulate the authors on their comprehensive review ...Dear Editor,We read with interest the article titled“Advances in the application of virtual reality technology in ophthalmic surgical skills training”[1].We congratulate the authors on their comprehensive review of an important and rapidly evolving topic:the use of virtual reality(VR)in cataract surgical training.We would like to expand on the discussion surrounding the“assessment of the cataract surgery training system’s effectiveness”.展开更多
With the increasing penetration level of renewable energy sources(RES)interfaced with the grids by power electronic converters,the grid forming(GFM)control of converters is recognized as one of the promising solutions...With the increasing penetration level of renewable energy sources(RES)interfaced with the grids by power electronic converters,the grid forming(GFM)control of converters is recognized as one of the promising solutions in dealing with challenges such as grid transient stability enhancement required for future power electronic converter-dominated power grids.However,the physical nature of the limited overcurrent capability of GFM converter constrains its application including grid transient stability enhancement during grid faults.To address this problem,this paper first analyzes the mechanism of grid transient stability and overcurrent of GFM converter during grid faults.Then,an adaptive power and virtual resistance cooperation control strategy of VSG-based GFM converter for grid transient stability enhancement is proposed,which can suppress the overcurrent of the GFM converter and enhance the grid transient stability simultaneously during grid faults.Meanwhile,a detailed quantitative analysis of parameter tuning of the proposed control is conducted,ensuring the robustness of the proposed control strategy in different fault depths and fault duration times.Finally,case studies are simulated in the PSCAD/EMTDC software to verify the effectiveness of the proposed control strategy.展开更多
Conventional surgical teaching techniques face several challenges,highlighting a necessity for ongoing innovation in ophthalmology education to align with the evolving demands of clinical practice.The recent rapid adv...Conventional surgical teaching techniques face several challenges,highlighting a necessity for ongoing innovation in ophthalmology education to align with the evolving demands of clinical practice.The recent rapid advancement of computer technology has enabled the integration of virtual reality(VR)into medical training,thereby revolutionizing ophthalmic surgical education through VRbased educational methods.VR technology offers a safe,risk-free environment for trainees to practice repeatedly,enhancing surgical skills and accelerating the learning curve without compromising patient safety.This research outlines the application of VR technology in ophthalmic surgical skills training,particularly in cataract and vitreoretinal surgery.Including assessing the effectiveness of intraocular surgery training systems,evaluating skills transfer to the operating room,comparing it with wet lab cataract surgery training,and enhancing non-dominant hand training for cataract surgery,among other aspects.Additionally,this paper will identify the limitations of VR technology in ocular surgical skills training,offer improvement strategies,and detail the advantages and prospects,with the objective of guiding subsequent researchers.展开更多
With the increasing integration of renewable energy,microgrids are increasingly facing stability challenges,primarily due to the lack of inherent inertia in inverter-dominated systems,which is traditionally provided b...With the increasing integration of renewable energy,microgrids are increasingly facing stability challenges,primarily due to the lack of inherent inertia in inverter-dominated systems,which is traditionally provided by synchronous generators.To address this critical issue,Virtual Synchronous Generator(VSG)technology has emerged as a highly promising solution by emulating the inertia and damping characteristics of conventional synchronous generators.To enhance the operational efficiency of virtual synchronous generators(VSGs),this study employs smallsignal modeling analysis,root locus methods,and synchronous generator power-angle characteristic analysis to comprehensively evaluate how virtual inertia and damping coefficients affect frequency stability and power output during transient processes.Based on these analyses,an adaptive control strategy is proposed:increasing the virtual inertia when the rotor angular velocity undergoes rapid changes,while strengthening the damping coefficient when the speed deviation exceeds a certain threshold to suppress angular velocity oscillations.To validate the effectiveness of the proposed method,a grid-connected VSG simulation platform was developed inMATLAB/Simulink.Comparative simulations demonstrate that the proposed adaptive control strategy outperforms conventional VSGmethods by significantly reducing grid frequency deviations and shortening active power response time during active power command changes and load disturbances.This approach enhances microgrid stability and dynamic performance,confirming its viability for renewable-dominant power systems.Future work should focus on experimental validation and real-world parameter optimization,while further exploring the strategy’s effectiveness in improvingVSG low-voltage ride-through(LVRT)capability and power-sharing applications in multi-parallel configurations.展开更多
Detector and event visualization are crucial components of high-energy physics(HEP)experimental software.Virtual reality(VR)technologies and multimedia development platforms,such as Unity,offer enhanced display effect...Detector and event visualization are crucial components of high-energy physics(HEP)experimental software.Virtual reality(VR)technologies and multimedia development platforms,such as Unity,offer enhanced display effects and flexible extensibility for visualization in HEP experiments.In this study,we present a VR-based method for detector and event displays in the Jiangmen Underground Neutrino Observatory(JUNO)experiment.This method shares the same detector geometry descriptions and event data model as those in the offline software and provides the necessary data conversion interfaces.The VR methodology facilitates an immersive exploration of the virtual environment in JUNO,enabling users to investigate the detector geometry,visualize event data,and tune the detector simulation and event reconstruction algorithms.Additionally,this approach supports applications in data monitoring,physics data analysis,and public outreach initiatives.展开更多
Objectives:To explore experiences of ICU nurses with a virtual reality(VR)-based stress reduction intervention and identify the factors influencing its acceptance,guided by the Technology Acceptance Model.Methods:A qu...Objectives:To explore experiences of ICU nurses with a virtual reality(VR)-based stress reduction intervention and identify the factors influencing its acceptance,guided by the Technology Acceptance Model.Methods:A qualitative descriptive study was conducted in the ICU of a tertiary hospital in China.Fifteen nurses who had completed a VR intervention were recruited using purposive sampling.Data were collected through in-depth,semi-structured interviews between September and October 2025.The interviews were transcribed verbatim and analyzed using Colaizzi’s phenomenological method.Results:The analysis yielded five key themes.1)Perceived usefulness:nurses recognized VR’s effectiveness in reducing stress,primarily through mechanisms of immediate relaxation and psychological detachment from the high-pressure clinical environment.2)Perceived ease of use:the adoption process was hindered not only by technical issues but,more fundamentally,by a persistent inability to disengage from patient care responsibilities during use mentally.3)Influence of external variables:a critical barrier identified was the absence of structured organizational support,encompassing protected time,dedicated private spaces,and clear implementation policies.4)Behavioral intention and usage patterns:despite existing barriers,participants expressed a conditional willingness to adopt VR,integrating it flexibly into their routines for in-shift respite or post-shift recovery.5)Recommendations for improvement:practical suggestions for optimization focused on three areas,including diversifying VR content,improving hardware ergonomics,and establishing essential institutional enablers.Conclusions:VR technology has the potential to alleviate stress among ICU nurses.However,its sustainable integration into clinical practice requires a systemic approach that addresses multifaceted barriers,with organizational policy and support being the most critical enabling factor.Future initiatives must extend beyond technological optimization to include protected time,dedicated spaces,and supportive policies to ensure effectiveness and long-term adoption.展开更多
With the rapid development of intelligent cyber-physical systems(ICPS),diverse services with varying Quality of Service(QoS)requirements have brought great challenges to traditional network resource allocation.Further...With the rapid development of intelligent cyber-physical systems(ICPS),diverse services with varying Quality of Service(QoS)requirements have brought great challenges to traditional network resource allocation.Furthermore,given the open environment and a multitude of devices,enhancing the security of ICPS is an urgent concern.To address these issues,this paper proposes a novel trusted virtual network embedding(T-VNE)approach for ICPS based combining blockchain and edge computing technologies.Additionally,the proposed algorithm leverages a deep reinforcement learning(DRL)model to optimize decision-making processes.It employs the policygradient-based agent to compute candidate embedding nodes and utilizes a breadth-first search(BFS)algorithm to determine the optimal embedding paths.Finally,through simulation experiments,the efficacy of the proposed method was validated,demonstrating outstanding performance in terms of security,revenue generation,and virtual network request(VNR)acceptance rate.展开更多
Objective To evaluate the clinical efficacy of an adaptive vestibular rehabilitation training system based on Virtual Reality(VR)technology for patients with semicircular canal injury.Methods A randomized controlled t...Objective To evaluate the clinical efficacy of an adaptive vestibular rehabilitation training system based on Virtual Reality(VR)technology for patients with semicircular canal injury.Methods A randomized controlled trial was conducted with 60 patients diagnosed with peripheral vestibular vertigo.Participants were randomly assigned to either an Intervention Group(n=30),which received VR-based adaptive vestibular rehabilitation using the PICO 4 Pro system,or a Control Group(n=30),which underwent traditional vestibular rehabilitation.Both groups received training for four weeks.The primary outcome measure was the Dizziness Handicap Inventory(DHI).Secondary outcomes included balance performance assessed via the Activities-specific Balance Confidence(ABC)Scale and static posturography(Maximum Sway Path Length and Sway Area).Vestibular function was objectively evaluated using the Video Head Impulse Test(vHIT)and the Bithermal Caloric Test.Psychological status was assessed using the Hospital Anxiety and Depression Scale(HADS).Results Post-intervention analysis revealed that the Intervention Group achieved significantly lower DHI scores compared to the Control Group.In terms of balance,the Intervention Group demonstrated significantly higher ABC Scale scores and reduced Maximum Sway Path Length and Sway Area compared to controls.Furthermore,the Intervention Group showed a significantly lower rate of abnormal findings in both vHIT and Bithermal Caloric Tests,indicating improved physiological function.Improvements in psychological well-being were also observed,with the Intervention Group exhibiting significantly lower HADS scores.Conclusion VR-based adaptive vestibular rehabilitation is effective in alleviating vertigo symptoms,enhancing balance function,and improving psychological well-being.The intervention also promotes the physiological recovery of semicircular canal function,demonstrating superior clinical efficacy compared to traditional rehabilitation methods.展开更多
Unequal virtual water transfer may aggravate local water scarcity risk.However,the quantitative confirmation of a clear geographic convergence between virtual water transfer and water scarcity risk remains undetermine...Unequal virtual water transfer may aggravate local water scarcity risk.However,the quantitative confirmation of a clear geographic convergence between virtual water transfer and water scarcity risk remains undetermined.We present an analytical framework that reveals the spatial matching between global water scarcity risk and virtual water trade inequality.This framework integrates a three-dimensional water scarcity risk assessment,hybrid input-output analysis,pollution trade term construction,and geographic convergence identification.The framework is applied to 123 countries for long-term validation from 1991 to 2021.We show that despite global improvements in water efficiency and security,countries exceeding the maximum water vulnerability threshold have increased by 50%.South Asia is the largest net exporter of virtual water.Central Asia exhibits the most pronounced virtual water trade inequality.To achieve the same economic growth,Central Asia needs to pay several times the local water consumption costs of developed regions(15.9−83.6 times,2021).In the past 30 years,the average geographic convergence index exceeded 0.8.Countries facing severe water scarcity also exhibit pronounced inequalities in virtual water trade,indicating that a significant geographic convergence relationship exists.Effectively responding to this unsustainable relationship necessitates balancing both domestic resource risk management and global virtual water trade regulation.展开更多
This paper suggests a way to improve teamwork and reduce uncertainties in operations by using a game theory approach involving multiple virtual power plants(VPP).A generalized credibility-based fuzzy chance constraint...This paper suggests a way to improve teamwork and reduce uncertainties in operations by using a game theory approach involving multiple virtual power plants(VPP).A generalized credibility-based fuzzy chance constraint programming approach is adopted to address uncertainties stemming from renewable generation and load demand within individual VPPs,while robust optimization techniques manage electricity and thermal price volatilities.Building upon this foundation,a hierarchical Nash-Stackelberg game model is established across multiple VPPs.Within each VPP,a Stackelberg game resolves the strategic interaction between the operator and photovoltaic prosumers(PVP).Among VPPs,a cooperative Nash bargaining model coordinates alliance formation.The problem is decomposed into two subproblems:maximizing coalitional benefits,and allocating cooperative surpluses via payment bargaining,solved distributively using the alternating direction method of multipliers(ADMM).Case studies demonstrate that the proposed strategy significantly enhances the economic efficiency and uncertainty resilience of multi-VPP alliances.展开更多
Age significantly influences human motor patterns,yet existing virtual reality(VR)systems lack dynamic modelling of these variations.This paper introduces AgeStyle,a versatile framework that integrates age-guided styl...Age significantly influences human motor patterns,yet existing virtual reality(VR)systems lack dynamic modelling of these variations.This paper introduces AgeStyle,a versatile framework that integrates age-guided style selection with motion style transfer to convert user-uploaded videos into interactive 3D motion models.Utilizing 2D joint detection and 3D pose estimation,AgeStyle constructs motion representations enhanced by a CLIP-driven Cross-Attention module,capturing the distinct traits of different age groups—child flexibility,adult efficiency,and elderly stability.Our system enables real-time switching between motion styles and perspectives through voice commands,offering an immersive exploration of age-related movements.Quantitative experiments on the XIA dataset demonstrate AgeStyle’s competitive performance in both content preservation and style consistency,achieving average CC and SC++scores of 7.4 and 14.8,respectively.AgeStyle represents a meaningful advancement in VR character design,with broad potential applications in education,healthcare,rehabilitation,and interactive entertainment.For the demo,please refer to http://gffzz6712f30e645c4b03sx9pbnbcvb5qv6wk5.ffgz.tsg.suse.edu.cn/eo7Shy0Ukps.The source code of AgeStyle is available at http://gffzz188fe103f8f1460asx9pbnbcvb5qv6wk5.ffgz.tsg.suse.edu.cn/codeozzz/ageStyle.展开更多
The increasing penetration of inverter-based resources(IBRs)and renewable energy resources poses significant challenges to the stability and controllability of modern power systems.Dynamic virtual power plants(DVPPs)h...The increasing penetration of inverter-based resources(IBRs)and renewable energy resources poses significant challenges to the stability and controllability of modern power systems.Dynamic virtual power plants(DVPPs)have emerged as a transformative solution for aggregating and controlling heterogeneously distributed energy resources(DERs)flexibly and dynamically.This paper presents a comprehensive review of DVPPs,covering their conceptual evolution—from microgrids to virtual power plants(VPPs)and fast-acting VPPs—culminating in the dynamic DVPP paradigm.This review explores key architectural frameworks,including grid-forming and grid-following roles,as well as AC/DC interfacing strategies.Emphasis is placed on secondary frequency and voltage control mechanisms,dynamic-based and market-based disaggregation,and control methodologies tailored to DERs.展开更多
BACKGROUND Timely and successful transition to outpatient care following inpatient behavioral health treatment or emergency department discharge is critical to reducing suicide risk and preventing mental health deteri...BACKGROUND Timely and successful transition to outpatient care following inpatient behavioral health treatment or emergency department discharge is critical to reducing suicide risk and preventing mental health deterioration.To address this,the virtual psychiatric transition of care(VPTC)program was developed by the Department of Psychiatry at Atrium Health.AIM To provide virtual,multidisciplinary support to patient’s post-discharge,facilitating access to appropriate outpatient services.METHODS Patients enrolled between August 2021 and August 2023 were included in a retrospective evaluation of the VPTC program’s implementation.The program provided support across six inpatient Behavioral Health facilities,a Department of Behavioral Health Emergency with an Observation Unit,and a Consult Liaison Unit.All participating sites operate within a single,large,fully integrated healthcare system located in the southeastern United States.Outcomes include compliance with follow-up care,acute care utilization,and patient well-being.RESULTS Over 1500 patients were supported,with 205 follow-up visits completed through VPTC,including 84 hospital follow-ups.The hospital follow-up rate of 63%exceeded both the national average(40%-50%)and comparable internal benchmarks(37%).The program also surpassed targets for reducing symptoms of depression and anxiety,while patients reported high satisfaction,citing convenience,privacy,and ease of access.CONCLUSION The VPTC program is feasible and has shown early positive effects in supporting continuity of care and reducing acute service use.A virtual program can address patient well-being and potentially drive reductions in avoidable utilization of high-cost services.This program is a model for promoting recovery and supporting patients in navigating their transition to community-based behavioral health care.展开更多
Objectives This scoping review aimed to identify and summarize the current research on virtual reality(VR)technologies used for health education in cancer patients,as well as to identify key areas of application.Metho...Objectives This scoping review aimed to identify and summarize the current research on virtual reality(VR)technologies used for health education in cancer patients,as well as to identify key areas of application.Methods In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guidelines,a comprehensive literature search was performed across 11 electronic databases and gray literature sources from inception to 12 September 2025.Studies employing immersive VR tools to improve health education outcomes in cancer patients were included.Data extraction and thematic synthesis were conducted to map evidence regarding VR modalities,educational applications,and outcome measures.Results Twenty-eight studies met the inclusion criteria.VR was applied across four primary educational scenarios,including radiotherapy,chemotherapy,surgery,and healthy behavior(including rehabilitation,smoking cessation,and self-management).Eight distinct VR modalities were identified,namely VR videos,virtual environments,virtual environment for radiotherapy training(VERT),VR interactions,3D models,VR games,VR non-player characters(VR NPCs),and virtual libraries.Among these,VR videos(50.0%),virtual environments(46.4%),and VR interactions(28.6%)were the most frequently employed.The interventions led to significant improvements in patient knowledge,skills,attitudes,health behaviors,and psychological well-being.A clear evolution in VR educational approaches has been observed,shifting from static environmental familiarization toward interactive,gamified,and intelligence-driven experiences.Nevertheless,notable gaps remain regarding safety protocols and data privacy protections,with only a minority of studies addressing these issues.Conclusions VR technologies demonstrate considerable promise as an innovative educational tool in oncology care,enhancing patient understanding,psychological preparedness,and engagement throughout the cancer journey.Future implementation must address infrastructural,ethical,and user-centered design barriers to facilitate the scalable and sustainable integration of this approach into clinical practice.展开更多
Intraoperative pathological assessment requires rapid,high-quality stained sections to support surgical decisions.Currently,however,this area lacks cost-effective and rapid staining methods for intraoperative procedur...Intraoperative pathological assessment requires rapid,high-quality stained sections to support surgical decisions.Currently,however,this area lacks cost-effective and rapid staining methods for intraoperative procedures.This study integrated a low-cost phase contrast microscope(PCM)imaging and Pix2Pix Generative Adversarial Network(GAN)to take the microimages and create a virtual staining framework of intraoperative sample-frozen sections for converting label-free phase contrast images(PCIs)into H&E-stained equivalents for thefirst time.PCIs and H&Estained whole-slide images were captured from sample-frozen sections of 15 registered patients with breast cancer and compared with their autofluorescence image results.Pix2Pix and CycleGAN models were trained on these images.It's found that the Pix2Pix GAN excels in PCI and generates a clear nuclear boundary and accurate tissue structure without staining artifacts.Quantitatively,Pix2Pix model provides a higher structural similarity index(SSIM?0.57)and peak signal-to-noise ratio(PSNR?21.65)in phase contrast mode than CycleGAN in the comparison study.The virtual staining results of PCM integrated with Pix2Pix are clearly superior to those of autofluorescence with Pix2Pix,as well as with CycleGAN.Additionally,the approach offers fast processing(1.5 s/mm2T and can generate a standard WSI virtual stained section in 3 min.This low-cost virtual staining approach bypasses the cumbersome H&E staining process in conventional pathology,significantly accelerating diagnostic procedures.It's very possible and of significance for this intelligent intraoperative technology to be extended to other intraoperative pathological assessment scenarios requiring rapid histological assessment.展开更多
The evolution of medicine has progressed through distinct ages: from empirical observation and evidence-based practice to the current era of precision medicine. However, traditional healthcare paradigms remain constra...The evolution of medicine has progressed through distinct ages: from empirical observation and evidence-based practice to the current era of precision medicine. However, traditional healthcare paradigms remain constrained by data fragmentation, scalability limits, and the overwhelming complexity of multi-omics integration. In the rapid explosion of artificial intelligence (AI), a transformative paradigm is emerging. This review introduces the concept of “Virtual Medicine”, which is defined as a comprehensive ecosystem of AI-empowered medical practice that transcends physical limitations. This review systematically summarizes the technological foundations, historical evolution, and core applications of AI in medicine, including electronic health records (EHRs) analysis, medical imaging, multimodal diagnostics, drug discovery, precision oncology, intelligent surgery, and clinical decision support systems. It further highlights the role of medical AI in health management, public health surveillance, and healthcare delivery in resource-limited settings. Special attention is given to the transformative emergence of large language models (LLMs), such as medical large language models (MedLLM) and generative pre-trained transformer (GPT) architectures, emphasizing their potential to revolutionize virtual medical interaction, clinical reasoning, and documentation. Despite these advances, significant challenges remain regarding model transparency, data bias, fairness, and patient privacy. Overcoming these limitations necessitates standardized evaluation frameworks, interpretable algorithm designs, and strengthened privacy protections. Ultimately, these efforts aim to foster a trustworthy and equitable future for virtual medicine.展开更多
In real-world autonomous driving tests,unexpected events such as pedestrians or wild animals suddenly entering the driving path can occur.Conducting actual test drives under various weather conditions may also lead to...In real-world autonomous driving tests,unexpected events such as pedestrians or wild animals suddenly entering the driving path can occur.Conducting actual test drives under various weather conditions may also lead to dangerous situations.Furthermore,autonomous vehicles may operate abnormally in bad weather due to limitations of their sensors and GPS.Driving simulators,which replicate driving conditions nearly identical to those in the real world,can drastically reduce the time and cost required for market entry validation;consequently,they have become widely used.In this paper,we design a virtual driving test environment capable of collecting and verifying SiLS data under adverse weather conditions using multi-source images.The proposed method generates a virtual testing environment that incorporates various events,including weather,time of day,and moving objects,that cannot be easily verified in real-world autonomous driving tests.By setting up scenario-based virtual environment events,multi-source image analysis and verification using real-world DCUs(Data Concentrator Units)with V2X-Car edge cloud can effectively address risk factors that may arise in real-world situations.We tested and validated the proposed method with scenarios employing V2X communication and multi-source image analysis.展开更多
MicroRNAs(miRNAs)are small RNA molecules with significant therapeutic potential for treating various diseases,underscoring the need for effective methods to screen drugs targeting disease-associated miRNAs.In this stu...MicroRNAs(miRNAs)are small RNA molecules with significant therapeutic potential for treating various diseases,underscoring the need for effective methods to screen drugs targeting disease-associated miRNAs.In this study,we introduce miRPVS,a rapid virtual screening approach designed to identify small molecule drugs targeting miRNA-protein complex.miRPVS identifies binding pockets on the surface of these complexes,expanding the scope of potential small molecule targets.It employs an equivariant graph neural network model to extract three-dimensional(3D)structure features of small molecules,enabling accurate prediction of docking scores.Using miRPVS,four complexes involved in primiRNA cleaving,pre-miRNA transport,and mRNA depress were identified as promising targets.For each target,hit compounds were screened from the ZINC20 database,which contains approximately 600 million drug-like small molecules.MiRPVS predicted the docking score for these compounds,with Pearson correlation coefficients between predicted and experimentally docked scores comparable to those obtained through twice docking.Notably,the average deviation was only 0.67%across the four complexes.Remarkably,the entire screening process for all four complexes was completed in 14 h using just four V100 GPUs.Additionally,we integrated AlphaFold3-predicted structures into the miRPVS workflow,enabling virtual screening of small molecules against miRNA-protein complexes without experimentally determined structures.miRPVS demonstrated performance comparable to traditional docking methods while significantly reducing computational time and resource requirements.This innovative approach holds great promise for accelerating the discovery of small molecule drugs targeting miRNA-regulated pathways,addressing a critical gap in miRNA therapeutics.展开更多
Ostrinia furnacalis represents a destructive lepidopteran pest causing up to 30%yield losses in maize crops globally.Its larvae penetrate plant tissues,disrupt nutrient transport,and transmit viral and microbial patho...Ostrinia furnacalis represents a destructive lepidopteran pest causing up to 30%yield losses in maize crops globally.Its larvae penetrate plant tissues,disrupt nutrient transport,and transmit viral and microbial pathogens,exacerbating food security concerns.Current management approaches for O.furnacalis primarily rely on synthetic pesticides.Targeting chitin metabolism presents a promising strategy for green insecticide development.Specifically,Of Chi-h,an essential chitinase for O.furnacalis molting and survival,has emerged as a viable target.This study identified a N-phenyl-isoindole-1,3-dione(PI)scaffold as a novel class of Of Chi-h inhibitor through virtual screening strategy.Notably,compound PI-17 demonstrated potent inhibitory activity against Of Chi-h with a Kivalue of 2.3μmol L-1.PI-17 exhibited significant insecticidal activity against lepidopteran pests O.furnacalis,comparable to the control drug hexaflumuron.Scanning electron microscopy(SEM)analysis revealed morphological alterations in the cuticles of O.furnacalis larvae treated with PI-series compounds.Electrostatic potential(ESP)and density functional theory(DFT)calculations explored the variations in biological activities of the PI-series compounds at atomic and electronic levels.Additionally,comprehensive safety evaluations assessed the impact on the natural enemy Trichogramma ostriniae and nontarget organisms.These findings introduce a novel class of lead compounds,PI derivatives,showing significant potential for developing eco-friendly insect growth regulators to control O.furnacalis.展开更多
Existing numerical methods for complex composites, such as multiscale simulation and neural network algorithms, face significant limitations. Multiscale techniques are often prohibitively expensive for large models, w...Existing numerical methods for complex composites, such as multiscale simulation and neural network algorithms, face significant limitations. Multiscale techniques are often prohibitively expensive for large models, while neural networks struggle to represent underlying microscopic material properties. To overcome these challenges, a meso-micro scale numerical method using a virtual node approach is developed in this study. A Wbraid/Al/Epoxy functional structural material is fabricated, and a representative periodic unit cell is identified based on its architecture. The complex structure is then discretized into nodes, and mechanical interactions are governed by pre-defined computation rules. This virtual node method is systematically compared against both multiscale simulation and a neural network algorithm, with validation provided through mechanical experiments. The results demonstrate that the nodal operation strategy significantly reduces computational resource requirements. By quantifying microscopic bonding with coefficients, explicit interface treatment is avoided, granting the method strong adaptability to lattice materials. The method can simulate extremely complex structures using parameters from simple tests and is suited for large systems. Compared to three-point bending experiments, errors for multiscale, virtual node, and neural network methods were 12.4%, 6.9%, and 34.5%, respectively. Under dynamic compression, the errors were 2.7%, 9.3%, and 15.43%. The virtual node method demonstrated superior accuracy under static conditions, enabling efficient prediction and auxiliary development of complex structural materials.展开更多
摘要Dear Editor,We read with interest the article titled“Advances in the application of virtual reality technology in ophthalmic surgical skills training”[1].We congratulate the authors on their comprehensive review of an important and rapidly evolving topic:the use of virtual reality(VR)in cataract surgical training.We would like to expand on the discussion surrounding the“assessment of the cataract surgery training system’s effectiveness”.
基金supported by National Natural Science Foundation of China(Grant No.U23B6007,Fundamental Theory and Methods for Form Evolution and High Efficient Safe Operation of New Power Distribution Systems).
摘要With the increasing penetration level of renewable energy sources(RES)interfaced with the grids by power electronic converters,the grid forming(GFM)control of converters is recognized as one of the promising solutions in dealing with challenges such as grid transient stability enhancement required for future power electronic converter-dominated power grids.However,the physical nature of the limited overcurrent capability of GFM converter constrains its application including grid transient stability enhancement during grid faults.To address this problem,this paper first analyzes the mechanism of grid transient stability and overcurrent of GFM converter during grid faults.Then,an adaptive power and virtual resistance cooperation control strategy of VSG-based GFM converter for grid transient stability enhancement is proposed,which can suppress the overcurrent of the GFM converter and enhance the grid transient stability simultaneously during grid faults.Meanwhile,a detailed quantitative analysis of parameter tuning of the proposed control is conducted,ensuring the robustness of the proposed control strategy in different fault depths and fault duration times.Finally,case studies are simulated in the PSCAD/EMTDC software to verify the effectiveness of the proposed control strategy.
基金Supported by the Key Special Project of“Cutting-Edge Biotechnology”in the National Key Research and Development Program of China(No.2024YFC3406200)Sanming Project of Medicine in Shenzhen(No.SZSM202411007)Shenzhen Science and Technology Program(No.JCYJ20240813152704006).
摘要Conventional surgical teaching techniques face several challenges,highlighting a necessity for ongoing innovation in ophthalmology education to align with the evolving demands of clinical practice.The recent rapid advancement of computer technology has enabled the integration of virtual reality(VR)into medical training,thereby revolutionizing ophthalmic surgical education through VRbased educational methods.VR technology offers a safe,risk-free environment for trainees to practice repeatedly,enhancing surgical skills and accelerating the learning curve without compromising patient safety.This research outlines the application of VR technology in ophthalmic surgical skills training,particularly in cataract and vitreoretinal surgery.Including assessing the effectiveness of intraocular surgery training systems,evaluating skills transfer to the operating room,comparing it with wet lab cataract surgery training,and enhancing non-dominant hand training for cataract surgery,among other aspects.Additionally,this paper will identify the limitations of VR technology in ocular surgical skills training,offer improvement strategies,and detail the advantages and prospects,with the objective of guiding subsequent researchers.
基金financially supported by the Talent Initiation Fund of Wuxi University(550220008).
摘要With the increasing integration of renewable energy,microgrids are increasingly facing stability challenges,primarily due to the lack of inherent inertia in inverter-dominated systems,which is traditionally provided by synchronous generators.To address this critical issue,Virtual Synchronous Generator(VSG)technology has emerged as a highly promising solution by emulating the inertia and damping characteristics of conventional synchronous generators.To enhance the operational efficiency of virtual synchronous generators(VSGs),this study employs smallsignal modeling analysis,root locus methods,and synchronous generator power-angle characteristic analysis to comprehensively evaluate how virtual inertia and damping coefficients affect frequency stability and power output during transient processes.Based on these analyses,an adaptive control strategy is proposed:increasing the virtual inertia when the rotor angular velocity undergoes rapid changes,while strengthening the damping coefficient when the speed deviation exceeds a certain threshold to suppress angular velocity oscillations.To validate the effectiveness of the proposed method,a grid-connected VSG simulation platform was developed inMATLAB/Simulink.Comparative simulations demonstrate that the proposed adaptive control strategy outperforms conventional VSGmethods by significantly reducing grid frequency deviations and shortening active power response time during active power command changes and load disturbances.This approach enhances microgrid stability and dynamic performance,confirming its viability for renewable-dominant power systems.Future work should focus on experimental validation and real-world parameter optimization,while further exploring the strategy’s effectiveness in improvingVSG low-voltage ride-through(LVRT)capability and power-sharing applications in multi-parallel configurations.
基金supported by the National Natural Science Foundation of China(Nos.12175321,W2443004,11975021,11675275,U1932101)Strategic Priority Research Program of the Chinese Academy of Sciences(No.XDA10010900)+2 种基金National Key Research and Development Program of China(Nos.2023YFA1606000 and 2020YFA0406400)National College Students Science and Technology Innovation ProjectUndergraduate Base Scientific Research Project of Sun Yat-sen University。
摘要Detector and event visualization are crucial components of high-energy physics(HEP)experimental software.Virtual reality(VR)technologies and multimedia development platforms,such as Unity,offer enhanced display effects and flexible extensibility for visualization in HEP experiments.In this study,we present a VR-based method for detector and event displays in the Jiangmen Underground Neutrino Observatory(JUNO)experiment.This method shares the same detector geometry descriptions and event data model as those in the offline software and provides the necessary data conversion interfaces.The VR methodology facilitates an immersive exploration of the virtual environment in JUNO,enabling users to investigate the detector geometry,visualize event data,and tune the detector simulation and event reconstruction algorithms.Additionally,this approach supports applications in data monitoring,physics data analysis,and public outreach initiatives.
基金supported by grants from the funding sources:Chinese Nursing Association(ZHKY202415).
摘要Objectives:To explore experiences of ICU nurses with a virtual reality(VR)-based stress reduction intervention and identify the factors influencing its acceptance,guided by the Technology Acceptance Model.Methods:A qualitative descriptive study was conducted in the ICU of a tertiary hospital in China.Fifteen nurses who had completed a VR intervention were recruited using purposive sampling.Data were collected through in-depth,semi-structured interviews between September and October 2025.The interviews were transcribed verbatim and analyzed using Colaizzi’s phenomenological method.Results:The analysis yielded five key themes.1)Perceived usefulness:nurses recognized VR’s effectiveness in reducing stress,primarily through mechanisms of immediate relaxation and psychological detachment from the high-pressure clinical environment.2)Perceived ease of use:the adoption process was hindered not only by technical issues but,more fundamentally,by a persistent inability to disengage from patient care responsibilities during use mentally.3)Influence of external variables:a critical barrier identified was the absence of structured organizational support,encompassing protected time,dedicated private spaces,and clear implementation policies.4)Behavioral intention and usage patterns:despite existing barriers,participants expressed a conditional willingness to adopt VR,integrating it flexibly into their routines for in-shift respite or post-shift recovery.5)Recommendations for improvement:practical suggestions for optimization focused on three areas,including diversifying VR content,improving hardware ergonomics,and establishing essential institutional enablers.Conclusions:VR technology has the potential to alleviate stress among ICU nurses.However,its sustainable integration into clinical practice requires a systemic approach that addresses multifaceted barriers,with organizational policy and support being the most critical enabling factor.Future initiatives must extend beyond technological optimization to include protected time,dedicated spaces,and supportive policies to ensure effectiveness and long-term adoption.
基金supported by the National Natural Science Foundation of China under Grant 62471493supported by the Natural Science Foundation of Shandong Province under Grant ZR2023LZH017,ZR2024MF066。
摘要With the rapid development of intelligent cyber-physical systems(ICPS),diverse services with varying Quality of Service(QoS)requirements have brought great challenges to traditional network resource allocation.Furthermore,given the open environment and a multitude of devices,enhancing the security of ICPS is an urgent concern.To address these issues,this paper proposes a novel trusted virtual network embedding(T-VNE)approach for ICPS based combining blockchain and edge computing technologies.Additionally,the proposed algorithm leverages a deep reinforcement learning(DRL)model to optimize decision-making processes.It employs the policygradient-based agent to compute candidate embedding nodes and utilizes a breadth-first search(BFS)algorithm to determine the optimal embedding paths.Finally,through simulation experiments,the efficacy of the proposed method was validated,demonstrating outstanding performance in terms of security,revenue generation,and virtual network request(VNR)acceptance rate.
基金financially supported by Key Project of the National Natural Science Foundation of China(Project No.62402281)Special Fund for Basic Research Funds of Central Universities(Project No.FRF-TP-25-036)+1 种基金2025 Chaoyang District Digital Healthcare Concept Validation Plan(Project No.2025SLZZ012)National Health Commission Hospital Management Research Institute Development and Regional Demonstration of an Integrated Care Model for Multimorbidity in Older Adults(Project No.2023YFC3605005).
摘要Objective To evaluate the clinical efficacy of an adaptive vestibular rehabilitation training system based on Virtual Reality(VR)technology for patients with semicircular canal injury.Methods A randomized controlled trial was conducted with 60 patients diagnosed with peripheral vestibular vertigo.Participants were randomly assigned to either an Intervention Group(n=30),which received VR-based adaptive vestibular rehabilitation using the PICO 4 Pro system,or a Control Group(n=30),which underwent traditional vestibular rehabilitation.Both groups received training for four weeks.The primary outcome measure was the Dizziness Handicap Inventory(DHI).Secondary outcomes included balance performance assessed via the Activities-specific Balance Confidence(ABC)Scale and static posturography(Maximum Sway Path Length and Sway Area).Vestibular function was objectively evaluated using the Video Head Impulse Test(vHIT)and the Bithermal Caloric Test.Psychological status was assessed using the Hospital Anxiety and Depression Scale(HADS).Results Post-intervention analysis revealed that the Intervention Group achieved significantly lower DHI scores compared to the Control Group.In terms of balance,the Intervention Group demonstrated significantly higher ABC Scale scores and reduced Maximum Sway Path Length and Sway Area compared to controls.Furthermore,the Intervention Group showed a significantly lower rate of abnormal findings in both vHIT and Bithermal Caloric Tests,indicating improved physiological function.Improvements in psychological well-being were also observed,with the Intervention Group exhibiting significantly lower HADS scores.Conclusion VR-based adaptive vestibular rehabilitation is effective in alleviating vertigo symptoms,enhancing balance function,and improving psychological well-being.The intervention also promotes the physiological recovery of semicircular canal function,demonstrating superior clinical efficacy compared to traditional rehabilitation methods.
基金supported by National Natural Science Foundation of China(Grant No.52279027)National Key R&D Program of China(Grant No.2021YFC3200201)+1 种基金Key Research Project on Decision Consultation of the Strategic Development Department of China Association for Science and Technology(Grant No.2023070615CG111504)China Engineering Science and Technology Development Strategy Henan Research Institute Strategic Consulting Research Project(Grant No.2024HENYB01).
摘要Unequal virtual water transfer may aggravate local water scarcity risk.However,the quantitative confirmation of a clear geographic convergence between virtual water transfer and water scarcity risk remains undetermined.We present an analytical framework that reveals the spatial matching between global water scarcity risk and virtual water trade inequality.This framework integrates a three-dimensional water scarcity risk assessment,hybrid input-output analysis,pollution trade term construction,and geographic convergence identification.The framework is applied to 123 countries for long-term validation from 1991 to 2021.We show that despite global improvements in water efficiency and security,countries exceeding the maximum water vulnerability threshold have increased by 50%.South Asia is the largest net exporter of virtual water.Central Asia exhibits the most pronounced virtual water trade inequality.To achieve the same economic growth,Central Asia needs to pay several times the local water consumption costs of developed regions(15.9−83.6 times,2021).In the past 30 years,the average geographic convergence index exceeded 0.8.Countries facing severe water scarcity also exhibit pronounced inequalities in virtual water trade,indicating that a significant geographic convergence relationship exists.Effectively responding to this unsustainable relationship necessitates balancing both domestic resource risk management and global virtual water trade regulation.
基金supported by Science and Technology Project of SGCC(Research on Distributed Cooperative Control of Virtual Power Plants Based on Hybrid Game)(5700-202418337A-2-1-ZX).
摘要This paper suggests a way to improve teamwork and reduce uncertainties in operations by using a game theory approach involving multiple virtual power plants(VPP).A generalized credibility-based fuzzy chance constraint programming approach is adopted to address uncertainties stemming from renewable generation and load demand within individual VPPs,while robust optimization techniques manage electricity and thermal price volatilities.Building upon this foundation,a hierarchical Nash-Stackelberg game model is established across multiple VPPs.Within each VPP,a Stackelberg game resolves the strategic interaction between the operator and photovoltaic prosumers(PVP).Among VPPs,a cooperative Nash bargaining model coordinates alliance formation.The problem is decomposed into two subproblems:maximizing coalitional benefits,and allocating cooperative surpluses via payment bargaining,solved distributively using the alternating direction method of multipliers(ADMM).Case studies demonstrate that the proposed strategy significantly enhances the economic efficiency and uncertainty resilience of multi-VPP alliances.
基金Supported by the Humanities and Social Science Fund of Ministry of Education of China(Grant No.24 YJCZH 458)the R&D Program of Beijing Municipal Education Commission(Grant No.KM 202310009002)the Yuxiu Innovation Project of NCUT(Grant No.2024 NCUTYXCX 202).
摘要Age significantly influences human motor patterns,yet existing virtual reality(VR)systems lack dynamic modelling of these variations.This paper introduces AgeStyle,a versatile framework that integrates age-guided style selection with motion style transfer to convert user-uploaded videos into interactive 3D motion models.Utilizing 2D joint detection and 3D pose estimation,AgeStyle constructs motion representations enhanced by a CLIP-driven Cross-Attention module,capturing the distinct traits of different age groups—child flexibility,adult efficiency,and elderly stability.Our system enables real-time switching between motion styles and perspectives through voice commands,offering an immersive exploration of age-related movements.Quantitative experiments on the XIA dataset demonstrate AgeStyle’s competitive performance in both content preservation and style consistency,achieving average CC and SC++scores of 7.4 and 14.8,respectively.AgeStyle represents a meaningful advancement in VR character design,with broad potential applications in education,healthcare,rehabilitation,and interactive entertainment.For the demo,please refer to http://gffzz6712f30e645c4b03sx9pbnbcvb5qv6wk5.ffgz.tsg.suse.edu.cn/eo7Shy0Ukps.The source code of AgeStyle is available at http://gffzz188fe103f8f1460asx9pbnbcvb5qv6wk5.ffgz.tsg.suse.edu.cn/codeozzz/ageStyle.
摘要The increasing penetration of inverter-based resources(IBRs)and renewable energy resources poses significant challenges to the stability and controllability of modern power systems.Dynamic virtual power plants(DVPPs)have emerged as a transformative solution for aggregating and controlling heterogeneously distributed energy resources(DERs)flexibly and dynamically.This paper presents a comprehensive review of DVPPs,covering their conceptual evolution—from microgrids to virtual power plants(VPPs)and fast-acting VPPs—culminating in the dynamic DVPP paradigm.This review explores key architectural frameworks,including grid-forming and grid-following roles,as well as AC/DC interfacing strategies.Emphasis is placed on secondary frequency and voltage control mechanisms,dynamic-based and market-based disaggregation,and control methodologies tailored to DERs.
摘要BACKGROUND Timely and successful transition to outpatient care following inpatient behavioral health treatment or emergency department discharge is critical to reducing suicide risk and preventing mental health deterioration.To address this,the virtual psychiatric transition of care(VPTC)program was developed by the Department of Psychiatry at Atrium Health.AIM To provide virtual,multidisciplinary support to patient’s post-discharge,facilitating access to appropriate outpatient services.METHODS Patients enrolled between August 2021 and August 2023 were included in a retrospective evaluation of the VPTC program’s implementation.The program provided support across six inpatient Behavioral Health facilities,a Department of Behavioral Health Emergency with an Observation Unit,and a Consult Liaison Unit.All participating sites operate within a single,large,fully integrated healthcare system located in the southeastern United States.Outcomes include compliance with follow-up care,acute care utilization,and patient well-being.RESULTS Over 1500 patients were supported,with 205 follow-up visits completed through VPTC,including 84 hospital follow-ups.The hospital follow-up rate of 63%exceeded both the national average(40%-50%)and comparable internal benchmarks(37%).The program also surpassed targets for reducing symptoms of depression and anxiety,while patients reported high satisfaction,citing convenience,privacy,and ease of access.CONCLUSION The VPTC program is feasible and has shown early positive effects in supporting continuity of care and reducing acute service use.A virtual program can address patient well-being and potentially drive reductions in avoidable utilization of high-cost services.This program is a model for promoting recovery and supporting patients in navigating their transition to community-based behavioral health care.
基金supported by a project supported by Scientific Research Fund of Zhejiang Provincial Education Department(Grant number Y202457058).
摘要Objectives This scoping review aimed to identify and summarize the current research on virtual reality(VR)technologies used for health education in cancer patients,as well as to identify key areas of application.Methods In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guidelines,a comprehensive literature search was performed across 11 electronic databases and gray literature sources from inception to 12 September 2025.Studies employing immersive VR tools to improve health education outcomes in cancer patients were included.Data extraction and thematic synthesis were conducted to map evidence regarding VR modalities,educational applications,and outcome measures.Results Twenty-eight studies met the inclusion criteria.VR was applied across four primary educational scenarios,including radiotherapy,chemotherapy,surgery,and healthy behavior(including rehabilitation,smoking cessation,and self-management).Eight distinct VR modalities were identified,namely VR videos,virtual environments,virtual environment for radiotherapy training(VERT),VR interactions,3D models,VR games,VR non-player characters(VR NPCs),and virtual libraries.Among these,VR videos(50.0%),virtual environments(46.4%),and VR interactions(28.6%)were the most frequently employed.The interventions led to significant improvements in patient knowledge,skills,attitudes,health behaviors,and psychological well-being.A clear evolution in VR educational approaches has been observed,shifting from static environmental familiarization toward interactive,gamified,and intelligence-driven experiences.Nevertheless,notable gaps remain regarding safety protocols and data privacy protections,with only a minority of studies addressing these issues.Conclusions VR technologies demonstrate considerable promise as an innovative educational tool in oncology care,enhancing patient understanding,psychological preparedness,and engagement throughout the cancer journey.Future implementation must address infrastructural,ethical,and user-centered design barriers to facilitate the scalable and sustainable integration of this approach into clinical practice.
基金fundings from Jiangsu Province Key Research and Development Program(BE2023812)National Natural Science Foundation of China(NSFC)(62375127 and 62105147)+3 种基金Graduate Research and Innovation Program of Nanjing University of Aeronautics and Astronautics(xcxjh20240331)Jiangsu Provincial Outstanding Postdoctoral Program for LW Shang(2024ZB-380486)the 2023 Anhui Province Health Scientific Research Project(AHWJ2023A20096)the First Affiliated Hospital of Anhui Medical University Clinical Research Initiation Plan Project(LCYJ2021YB008)。
摘要Intraoperative pathological assessment requires rapid,high-quality stained sections to support surgical decisions.Currently,however,this area lacks cost-effective and rapid staining methods for intraoperative procedures.This study integrated a low-cost phase contrast microscope(PCM)imaging and Pix2Pix Generative Adversarial Network(GAN)to take the microimages and create a virtual staining framework of intraoperative sample-frozen sections for converting label-free phase contrast images(PCIs)into H&E-stained equivalents for thefirst time.PCIs and H&Estained whole-slide images were captured from sample-frozen sections of 15 registered patients with breast cancer and compared with their autofluorescence image results.Pix2Pix and CycleGAN models were trained on these images.It's found that the Pix2Pix GAN excels in PCI and generates a clear nuclear boundary and accurate tissue structure without staining artifacts.Quantitatively,Pix2Pix model provides a higher structural similarity index(SSIM?0.57)and peak signal-to-noise ratio(PSNR?21.65)in phase contrast mode than CycleGAN in the comparison study.The virtual staining results of PCM integrated with Pix2Pix are clearly superior to those of autofluorescence with Pix2Pix,as well as with CycleGAN.Additionally,the approach offers fast processing(1.5 s/mm2T and can generate a standard WSI virtual stained section in 3 min.This low-cost virtual staining approach bypasses the cumbersome H&E staining process in conventional pathology,significantly accelerating diagnostic procedures.It's very possible and of significance for this intelligent intraoperative technology to be extended to other intraoperative pathological assessment scenarios requiring rapid histological assessment.
基金supported by the National Natural Science Foundation of China(82230071,32471396,82427809)the Shanghai Committee of Science and Technology(23141900600)+2 种基金the Shanghai Clinical Research Plan(SHDC2023CRT013)the Shanghai Municipal Demonstration Project for Innovative Medical Device Applications(23SHS05700)the Young Elite Scientist Sponsorship Program by China Association for Science and Technology(YESS20230049).
摘要The evolution of medicine has progressed through distinct ages: from empirical observation and evidence-based practice to the current era of precision medicine. However, traditional healthcare paradigms remain constrained by data fragmentation, scalability limits, and the overwhelming complexity of multi-omics integration. In the rapid explosion of artificial intelligence (AI), a transformative paradigm is emerging. This review introduces the concept of “Virtual Medicine”, which is defined as a comprehensive ecosystem of AI-empowered medical practice that transcends physical limitations. This review systematically summarizes the technological foundations, historical evolution, and core applications of AI in medicine, including electronic health records (EHRs) analysis, medical imaging, multimodal diagnostics, drug discovery, precision oncology, intelligent surgery, and clinical decision support systems. It further highlights the role of medical AI in health management, public health surveillance, and healthcare delivery in resource-limited settings. Special attention is given to the transformative emergence of large language models (LLMs), such as medical large language models (MedLLM) and generative pre-trained transformer (GPT) architectures, emphasizing their potential to revolutionize virtual medical interaction, clinical reasoning, and documentation. Despite these advances, significant challenges remain regarding model transparency, data bias, fairness, and patient privacy. Overcoming these limitations necessitates standardized evaluation frameworks, interpretable algorithm designs, and strengthened privacy protections. Ultimately, these efforts aim to foster a trustworthy and equitable future for virtual medicine.
基金supported by Institute of Information and Communications Technology Planning and Evaluation(IITP)grant funded by the Korean government(MSIT)(No.2019-0-01842,Artificial Intelligence Graduate School Program(GIST))supported by Korea Planning&Evaluation Institute of Industrial Technology(KEIT)grant funded by the Ministry of Trade,Industry&Energy(MOTIE,Republic of Korea)(RS-2025-25448249,Automotive Industry Technology Development(R&D)Program)supported by the Regional Innovation System&Education(RISE)programthrough the(Gwangju RISE Center),funded by the Ministry of Education(MOE)and the Gwangju Metropolitan City,Republic of Korea(2025-RISE-05-001).
摘要In real-world autonomous driving tests,unexpected events such as pedestrians or wild animals suddenly entering the driving path can occur.Conducting actual test drives under various weather conditions may also lead to dangerous situations.Furthermore,autonomous vehicles may operate abnormally in bad weather due to limitations of their sensors and GPS.Driving simulators,which replicate driving conditions nearly identical to those in the real world,can drastically reduce the time and cost required for market entry validation;consequently,they have become widely used.In this paper,we design a virtual driving test environment capable of collecting and verifying SiLS data under adverse weather conditions using multi-source images.The proposed method generates a virtual testing environment that incorporates various events,including weather,time of day,and moving objects,that cannot be easily verified in real-world autonomous driving tests.By setting up scenario-based virtual environment events,multi-source image analysis and verification using real-world DCUs(Data Concentrator Units)with V2X-Car edge cloud can effectively address risk factors that may arise in real-world situations.We tested and validated the proposed method with scenarios employing V2X communication and multi-source image analysis.
基金supported by the National Natural Science Foundation of China(Grant Nos.:22273120,21873116 and 22373117).
摘要MicroRNAs(miRNAs)are small RNA molecules with significant therapeutic potential for treating various diseases,underscoring the need for effective methods to screen drugs targeting disease-associated miRNAs.In this study,we introduce miRPVS,a rapid virtual screening approach designed to identify small molecule drugs targeting miRNA-protein complex.miRPVS identifies binding pockets on the surface of these complexes,expanding the scope of potential small molecule targets.It employs an equivariant graph neural network model to extract three-dimensional(3D)structure features of small molecules,enabling accurate prediction of docking scores.Using miRPVS,four complexes involved in primiRNA cleaving,pre-miRNA transport,and mRNA depress were identified as promising targets.For each target,hit compounds were screened from the ZINC20 database,which contains approximately 600 million drug-like small molecules.MiRPVS predicted the docking score for these compounds,with Pearson correlation coefficients between predicted and experimentally docked scores comparable to those obtained through twice docking.Notably,the average deviation was only 0.67%across the four complexes.Remarkably,the entire screening process for all four complexes was completed in 14 h using just four V100 GPUs.Additionally,we integrated AlphaFold3-predicted structures into the miRPVS workflow,enabling virtual screening of small molecules against miRNA-protein complexes without experimentally determined structures.miRPVS demonstrated performance comparable to traditional docking methods while significantly reducing computational time and resource requirements.This innovative approach holds great promise for accelerating the discovery of small molecule drugs targeting miRNA-regulated pathways,addressing a critical gap in miRNA therapeutics.
基金the financial support by the National Natural Science Foundation of China(32472591)the Key Research and Development Project of Hebei Province,China(22326508D)+1 种基金the Talents Introduction Program in Hebei Agricultural University,China(YJ2021021)the Central Guide Local Science and Technology Development Fund Project of Hebei Province,China(236Z6506G)。
摘要Ostrinia furnacalis represents a destructive lepidopteran pest causing up to 30%yield losses in maize crops globally.Its larvae penetrate plant tissues,disrupt nutrient transport,and transmit viral and microbial pathogens,exacerbating food security concerns.Current management approaches for O.furnacalis primarily rely on synthetic pesticides.Targeting chitin metabolism presents a promising strategy for green insecticide development.Specifically,Of Chi-h,an essential chitinase for O.furnacalis molting and survival,has emerged as a viable target.This study identified a N-phenyl-isoindole-1,3-dione(PI)scaffold as a novel class of Of Chi-h inhibitor through virtual screening strategy.Notably,compound PI-17 demonstrated potent inhibitory activity against Of Chi-h with a Kivalue of 2.3μmol L-1.PI-17 exhibited significant insecticidal activity against lepidopteran pests O.furnacalis,comparable to the control drug hexaflumuron.Scanning electron microscopy(SEM)analysis revealed morphological alterations in the cuticles of O.furnacalis larvae treated with PI-series compounds.Electrostatic potential(ESP)and density functional theory(DFT)calculations explored the variations in biological activities of the PI-series compounds at atomic and electronic levels.Additionally,comprehensive safety evaluations assessed the impact on the natural enemy Trichogramma ostriniae and nontarget organisms.These findings introduce a novel class of lead compounds,PI derivatives,showing significant potential for developing eco-friendly insect growth regulators to control O.furnacalis.
摘要Existing numerical methods for complex composites, such as multiscale simulation and neural network algorithms, face significant limitations. Multiscale techniques are often prohibitively expensive for large models, while neural networks struggle to represent underlying microscopic material properties. To overcome these challenges, a meso-micro scale numerical method using a virtual node approach is developed in this study. A Wbraid/Al/Epoxy functional structural material is fabricated, and a representative periodic unit cell is identified based on its architecture. The complex structure is then discretized into nodes, and mechanical interactions are governed by pre-defined computation rules. This virtual node method is systematically compared against both multiscale simulation and a neural network algorithm, with validation provided through mechanical experiments. The results demonstrate that the nodal operation strategy significantly reduces computational resource requirements. By quantifying microscopic bonding with coefficients, explicit interface treatment is avoided, granting the method strong adaptability to lattice materials. The method can simulate extremely complex structures using parameters from simple tests and is suited for large systems. Compared to three-point bending experiments, errors for multiscale, virtual node, and neural network methods were 12.4%, 6.9%, and 34.5%, respectively. Under dynamic compression, the errors were 2.7%, 9.3%, and 15.43%. The virtual node method demonstrated superior accuracy under static conditions, enabling efficient prediction and auxiliary development of complex structural materials.