Prenatal programming during pregnancy sets physiological outcomes in the offspring by integrating external or internal stimuli.Accordingly,pregnancy is an important stage of physiological adaptations to the environmen...Prenatal programming during pregnancy sets physiological outcomes in the offspring by integrating external or internal stimuli.Accordingly,pregnancy is an important stage of physiological adaptations to the environment where the fetus becomes exposed and adapted to the maternal milieu.Maternal exposure to high-energy dense diets can affect motivated behavior in the offs p ring leading to addiction and impaired sociability.A high-energy dense exposure also increases the pro-inflammatory cytokines profile in plasma and brain and favors microglia activation in the offspring.While still under investigation,prenatal exposure to high-energy dense diets promotes structural abnormalities in selective brain regions regulating motivation and social behavior in the offspring.The current review addresses the role of energy-dense foods programming central and peripheral inflammatory profiles during embryonic development and its effect on motivated behavior in the offspring.We provide preclinical and clinical evidence that supports the contribution of prenatal programming in shaping immune profiles that favor structural and brain circuit disruption leading to aberrant motivated behaviors after birth.We hope this minireview encourages future research on novel insights into the mechanisms underlying maternal programming of motivated behavior by central immune networks.展开更多
This paper presents a new method .linear programming method. to calculate the proportion of the cement raw material. Its advanlages are as following : good practicability, convenience for analysis, and being easy for ...This paper presents a new method .linear programming method. to calculate the proportion of the cement raw material. Its advanlages are as following : good practicability, convenience for analysis, and being easy for controlling. The mathematical model given in the paper is apt to be realized on computer.展开更多
UML Class diagram generation from textual requirements is an important task in object-oriented design and programing course.This study proposes a method for automatically generating class diagrams from Chinese textual...UML Class diagram generation from textual requirements is an important task in object-oriented design and programing course.This study proposes a method for automatically generating class diagrams from Chinese textual requirements on the basis of Natural Language Processing(NLP)and mapping rules for sentence pattern matching.First,classes are identified through entity recognition rules and candidate class pruning rules using NLP from requirements.Second,class attributes and relationships between classes are extracted using mapping rules for sentence pattern matching on the basis of NLP.Third,we developed an assistant tool integrated into a precision micro classroom system for automatic generation of class diagram,to effectively assist the teaching of object-oriented design and programing course.Results are evaluated with precision,accuracy and recall from eight requirements of object-oriented design and programing course using truth values created by teachers.Our research should benefit beginners of object-oriented design and programing course,who may be students or software developers.It helps them to create correct domain models represented in the UML class diagram.展开更多
In many research disciplines, hypothesis tests are applied to evaluate whether findings are statistically significant or could be explained by chance. The Wilcoxon-Mann-Whitney （WMW） test is among the most popular h...In many research disciplines, hypothesis tests are applied to evaluate whether findings are statistically significant or could be explained by chance. The Wilcoxon-Mann-Whitney （WMW） test is among the most popular hypothesis tests in medicine and life science to analyze if two groups of samples are equally distributed. This nonparametric statistical homogeneity test is commonly applied in molecular diagnosis. Generally, the solution of the WMW test takes a high combinatorial effort for large sample cohorts containing a significant number of ties. Hence, P value is frequently approximated by a normal distribution. We developed EDISON-WMW, a new approach to calcu- late the exact permutation of the two-tailed unpaired WMW test without any corrections required and allowing for ties. The method relies on dynamic programing to solve the combinatorial problem of the WMW test efficiently. Beyond a straightforward implementation of the algorithm, we pre- sented different optimization strategies and developed a parallel solution. Using our program, the exact P value for large cohorts containing more than 1000 samples with ties can be calculated within minutes. We demonstrate the performance of this novel approach on randomly-generated data, benchmark it against 13 other commonly-applied approaches and moreover evaluate molec- ular biomarkers for lung carcinoma and chronic obstructive pulmonary disease （COPD）. We foundthat approximated P values were generally higher than the exact solution provided by EDISON- WMW. Importantly, the algorithm can also be applied to high-throughput omics datasets, where hundreds or thousands of features are included. To provide easy access to the multi-threaded version of EDISON-WMW, a web-based solution of our algorithm is freely available at http：// www.ccb.uni-saarland.de/software/wtest/.展开更多
The multi-satellite electromagnetic formation flight system is nonlinear and strongly coupled,which makes modeling and optimization challenging.To simplify electromagnetic force evaluation and dynamics modeling,we int...The multi-satellite electromagnetic formation flight system is nonlinear and strongly coupled,which makes modeling and optimization challenging.To simplify electromagnetic force evaluation and dynamics modeling,we introduce a reference frame consistent with each satellite body frame,in which the electromagnetic dipoles and electromagnetic forces are represented as two-dimensional vectors.Then,the maneuver time is divided into time intervals,and different satellite sets are activated in each interval,converting the multi-satellite formation reconfiguration problem into an optimal trajectory problem of each two-satellite subsystem.To this end,a token-based dynamic programming method with a switching penalty of active satellite sets is proposed to determine the sequence of satellite sets participating in each time interval,thereby enabling all satellites to reach their desired states.For the two-satellite subsystem with the objectives of minimizing maneuver time and energy consumption,the Gauss pseudo-spectral method is employed to generate the optimal reconfiguration trajectory.Numerical simulations verify the effectiveness of the proposed optimization method.展开更多
I was 26 the first time I travelled to China,and even now,it feels like an unexpected chapter in my life.The opportunity came out of the blue.I learned,just a month before departure,that I had been selected for a one-...I was 26 the first time I travelled to China,and even now,it feels like an unexpected chapter in my life.The opportunity came out of the blue.I learned,just a month before departure,that I had been selected for a one-month professional training programme.The news ignited a wave of excitement.For nearly two weeks,I stayed up late into the night,imagining a country I had never seen,trying to picture what China might really be like,beyond the images in books,films and media.展开更多
Races using kitefoil and windfoil surfboards have been in the Olympic Games for the first time in Paris 2024,signalling their relevance in sailing sports.However,the dynamics of these devices is yet not well understoo...Races using kitefoil and windfoil surfboards have been in the Olympic Games for the first time in Paris 2024,signalling their relevance in sailing sports.However,the dynamics of these devices is yet not well understood,in particular the influence on the hydrodynamic forces and moments of the distance of the foil to the free surface.Considering this,the present paper documents an experimental investigation in which forces and torque produced,under uniform flow,by a full-scale state-of-the-art hydrofoil(suitable both for kitesurf and windsurf)were measured.A range of velocities,angles of attack,and submergences were tested,leading to Froude numbers based on submergence with maximum values around five,a typical range in actual sailing conditions.From these tests,formulae for the hydrodynamic coefficients have been proposed.They can be used for developing Velocity Prediction Programs(VPP)for this kind of craft,a necessary tool to plan racing configurations and to analyze their racing performance.With the aim of making the experimental data useful for benchmarking numerical models and for future research on related topics such as foil ventilation and transition to turbulence,the specimen’s 3D file is provided as supplementary material to this paper.展开更多
Objectives This study aimed to evaluate the effectiveness of the stepped self-care program on the self-care,self-efficacy,and quality of life of stroke survivors.Methods This quasi-experimental study allocated 110 str...Objectives This study aimed to evaluate the effectiveness of the stepped self-care program on the self-care,self-efficacy,and quality of life of stroke survivors.Methods This quasi-experimental study allocated 110 stroke survivors from two neurology wards into an intervention group(n=55)who received the stepped self-care program and a control group(n=55)who received usual care from June to December 2023.The Self-Care of Stroke Inventory,Stroke Self-Efficacy Questionnaire,and the short version of the Stroke Specific Quality of Life Scale were administered at baseline(T0),immediately post-intervention(T_(1)),and at 1-month(T_(2))and 3-month(T_(3))follow-ups.Data were analyzed using repeated measures analyses of variance,and generalized estimating equations.Results A total of 48 participants in the intervention group and 50 participants in the control group completed the study.No statistically significant differences were observed at T0 in any of the measured indicators(all P>0.05).The study showed significant group,time,and group×time interaction effects across the assessed outcomes(all P<0.05).Follow-up between-group comparisons at T_(1),T_(2),and T_(3) indicated that the intervention group had significantly higher scores in self-care maintenance,self-care monitoring,self-care management,self-efficacy,and quality of life than the control group(all P<0.001).Conclusions The stepped self-care program significantly improved self-care behaviors,self-efficacy,and quality of life among stroke survivors.These findings support the broader implementation of this approach in post-discharge home self-care.展开更多
Every year, around the world, between 250,000 and 500,000 people suffer a spinal cord injury(SCI). SCI is a devastating medical condition that arises from trauma or disease-induced damage to the spinal cord, disruptin...Every year, around the world, between 250,000 and 500,000 people suffer a spinal cord injury(SCI). SCI is a devastating medical condition that arises from trauma or disease-induced damage to the spinal cord, disrupting the neural connections that allow communication between the brain and the rest of the body, which results in varying degrees of motor and sensory impairment. Disconnection in the spinal tracts is an irreversible condition owing to the poor capacity for spontaneous axonal regeneration in the affected neurons.展开更多
Background:The gut microbiome has emerged as a critical modulator of cancer immunotherapy response.However,the mechanisms by which gut-associated metabolites influence checkpoint blockade efficacy in prostate cancer(P...Background:The gut microbiome has emerged as a critical modulator of cancer immunotherapy response.However,the mechanisms by which gut-associated metabolites influence checkpoint blockade efficacy in prostate cancer(PC)remain not fully explored.The study aimed to explore how gut metabolites regulate death-ligand 1(PD-L1)blockade via exosomes and boost immune checkpoint inhibitors(ICIs)in PC.Methods:We recruited 70 PC patients to set up into five subgroups.The integrated multi-omics analysis was performed.In parallel,we validated the function of gut microbiome-associated metabolites on PD-L1 production and immunotherapy treatment efficacy in PC cell lines and transgenic adenocarcinoma of the mouse prostate(TRAMP)models.Results:We identified two metabolites,16(R)-Hydroxyeicosatetraenoic acid(16(R)-HETE)and 6-Keto-Prostaglandin E1(6-Keto-PGE1),that positively correlated with the plasma exosomal PD-L1 levels.The in vitro experiments found that both 16(R)-HETE and 6-Keto-PGE1 can enhance PD-L1 expression at the mRNA,protein,and exosome levels in both human and mouse PC cell lines,which were also validated in vivo based on subcutaneous mouse models.Both metabolites significantly promoted the anti-PD-L1 efficacy against PC in situ on a TRAMP mouse model.Conclusions:Targeting the“gut-tumor metabolic axis”is a promising strategy to improve the efficacy of immune checkpoint inhibitors in tumors.展开更多
In the pursuit of carbon peaking and neutrality goals,multi-energy parks,as major energy consumers and carbon emitters,urgently require low-carbon operational strategies.This paper proposes an electricity-carbon syner...In the pursuit of carbon peaking and neutrality goals,multi-energy parks,as major energy consumers and carbon emitters,urgently require low-carbon operational strategies.This paper proposes an electricity-carbon synergy-driven optimization method for the low-carbon operation ofmulti-energy parks.Themethod integratesmultienergy complementary scheduling with a tiered carbon trading mechanism to balance operational security,economic efficiency,and environmental objectives.A mixed-integer linear programming model is developed to characterize the coupling relationships and dynamic behaviors of key equipment,including photovoltaic systems,ground-source heat pumps,thermal storage electric boilers,combined heat and power units,and electrical energy storage systems.Furthermore,a tiered carbon trading model is established that incorporates carbon quota allocation and tiered carbon pricing to internalize carbon costs and discourage high-emission practices.Multi-scenario comparative analyses demonstrate that the electricity-carbon synergy scenario achieves a 42.64%reduction in carbon emissions compared to economy-oriented operation,while limiting the increase in operational costs to 20.85%.The carbon-prioritized scenario further reduces emissions by 9.7%,underscoring the inhibitory effect of the tiered carbon pricing mechanism on highcarbon activities.Sensitivity analyses confirm the model’s robustness against fluctuations in energy load,uncertainty in renewable generation,and variations in carbon price.This optimization method provides theoretical support for multi-energy coordinated scheduling and carbon responsibility allocation in industrial parks,offering valuable insights for promoting green transformation initiatives.展开更多
During the use of robotics in applications such as antiterrorism or combat,a motion-constrained pursuer vehicle,such as a Dubins unmanned surface vehicle(USV),must get close enough(within a prescribed zero or positive...During the use of robotics in applications such as antiterrorism or combat,a motion-constrained pursuer vehicle,such as a Dubins unmanned surface vehicle(USV),must get close enough(within a prescribed zero or positive distance)to a moving target as quickly as possible,resulting in the extended minimum-time intercept problem(EMTIP).Existing research has primarily focused on the zero-distance intercept problem,MTIP,establishing the necessary or sufficient conditions for MTIP optimality,and utilizing analytic algorithms,such as root-finding algorithms,to calculate the optimal solutions.However,these approaches depend heavily on the properties of the analytic algorithm,making them inapplicable when problem settings change,such as in the case of a positive effective range or complicated target motions outside uniform rectilinear motion.In this study,an approach employing a high-accuracy and quality-guaranteed mixed-integer piecewise-linear program(QG-PWL)is proposed for the EMTIP.This program can accommodate different effective interception ranges and complicated target motions(variable velocity or complicated trajectories).The high accuracy and quality guarantees of QG-PWL originate from elegant strategies such as piecewise linearization and other developed operation strategies.The approximate error in the intercept path length is proved to be bounded to h^(2)/(4√2),where h is the piecewise length.展开更多
Editor's Note In his keynote address at the opening ceremony of the Global Leaders'Meeting on Women,held in Beijing on October 13,2025,Chinese President Xi Jinping announced a series of measures China will tak...Editor's Note In his keynote address at the opening ceremony of the Global Leaders'Meeting on Women,held in Beijing on October 13,2025,Chinese President Xi Jinping announced a series of measures China will take,in the next five years,to further support the global cause of women.One of the measures is:China will launch 1,000"small and beautiful"livelihood programs with Chinese assistance that take women and girls as priority beneficiaries.展开更多
Message structure reconstruction is a critical task in protocol reverse engineering,aiming to recover protocol field structures without access to source code.It enables important applications in network security,inclu...Message structure reconstruction is a critical task in protocol reverse engineering,aiming to recover protocol field structures without access to source code.It enables important applications in network security,including malware analysis and protocol fuzzing.However,existing methods suffer from inaccurate field boundary delineation and lack hierarchical relationship recovery,resulting in imprecise and incomplete reconstructions.In this paper,we propose ProRE,a novel method for reconstructing protocol field structures based on program execution slice embedding.ProRE extracts code slices from protocol parsing at runtime,converts them into embedding vectors using a data flow-sensitive assembly language model,and performs hierarchical clustering to recover complete protocol field structures.Evaluation on two datasets containing 12 protocols shows that ProRE achieves an average F1 score of 0.85 and a cophenetic correlation coefficient of 0.189,improving by 19%and 0.126%respectively over state-of-the-art methods(including BinPRE,Tupni,Netlifter,and QwQ-32B-preview),demonstrating significant superiority in both accuracy and completeness of field structure recovery.Case studies further validate the effectiveness of ProRE in practical malware analysis scenarios.展开更多
The field of nanomedicine has been revolutionized by the concept of immunogenic cell death(ICD)-enhanced cancer therapy,which holds immense promise for the efficient treatment of cancer.However,precise delivery of ICD...The field of nanomedicine has been revolutionized by the concept of immunogenic cell death(ICD)-enhanced cancer therapy,which holds immense promise for the efficient treatment of cancer.However,precise delivery of ICD inducer is severely hindered by complex biological barriers.How to design and build intelligent nanoplatform for adaptive and dynamic cancer therapy remains a big challenge.Herein,this article presents the design and preparation of CD44-targeting and ZIF-8 gated gold nanocage(Au@ZH) for programmed delivery of the 1,2-diaminocyclohexane-Pt(Ⅱ)(DACHPt) as ICD inducer.After actively targeting the CD44 on the surface of 4T1 tumor cell,this Pt-Au@ZH can be effectively endocytosed by the 4T1 cell and release the DACHPt in tumor acidic environment,resulting in ICD effect and superior antitumor efficacy both in vitro and in vivo in the presence of mild 808 nm laser irradiation.By integration of internal and external stimuli intelligently,this programmed nanoplatform is poised to become a cornerstone in the pursuit of effective and targeted cancer therapy in the foreseeable future.展开更多
Effective treatment methods for stroke,a common cerebrovascular disease with a high mortality rate,are still being sought.Exosome therapy,a form of acellular therapy,has demonstrated promising efficacy in various dise...Effective treatment methods for stroke,a common cerebrovascular disease with a high mortality rate,are still being sought.Exosome therapy,a form of acellular therapy,has demonstrated promising efficacy in various diseases in animal models;however,there is currently insufficient evidence to guide the clinical application of exosome in patients with stroke.This article reviews the progress of exosome applications in stroke treatment.It aims to elucidate the significant potential value of exosomes in stroke therapy and provide a reference for their clinical translation.At present,many studies on exosome-based therapies for stroke are actively underway.Regarding preclinical research,exosomes,as bioactive substances with diverse sources,currently favor stem cells as their origin.Due to their high plasticity,exosomes can be effectively modified through various physical,chemical,and genetic engineering methods to enhance their efficacy.In animal models of stroke,exosome therapy can reduce neuroinflammatory responses,alleviate oxidative stress damage,and inhibit programmed cell death.Additionally,exosomes can promote angiogenesis,repair and regenerate damaged white matter fiber bundles,and facilitate the migration and differentiation of neural stem cells,aiding the repair process.We also summarize new directions for the application of exosomes,specifically the exosome intervention through the ventricular-meningeal lymphatic system.The review findings suggest that the treatment paradigm for stroke is poised for transformation.展开更多
To conduct marine surveys,multiple unmanned surface vessels(Multi-USV)with different capabilities perform collaborative mapping in multiple designated areas.This paper proposes a task allocation algorithm based on int...To conduct marine surveys,multiple unmanned surface vessels(Multi-USV)with different capabilities perform collaborative mapping in multiple designated areas.This paper proposes a task allocation algorithm based on integer linear programming(ILP)with flow balance constraints,ensuring the fair and efficient distribution of sub-areas among USVs and maintaining strong connectivity of assigned regions.In the established gridmap,a search-based path planning algorithm is performed on the sub-areas according to the allocation scheme.It uses the greedy algorithm and the A*algorithm to achieve complete coverage of the barrier-free area and obtain an efficient trajectory of each USV.The greedy algorithm enables fast local traversal of unvisited grids,while the A*algorithm ensures navigation to escape from deadlock areas and maintains global path continuity.The comparison of task allocation results proves that the task allocation algorithm based on ILP improves the mapping efficiency and task distribution fairness.The proposed allocation method and result analysis provide a certain reference for the practical application ofMulti-USV to perform survey tasks collaboratively.展开更多
Different forms of programmed cell death have been described to participate in the degeneration of dopaminergic neurons in Parkinson’s disease(PD).Given the critical role that disturbance of mitochondrial homeostasis...Different forms of programmed cell death have been described to participate in the degeneration of dopaminergic neurons in Parkinson’s disease(PD).Given the critical role that disturbance of mitochondrial homeostasis plays in the pathogenesis of PD,apoptosis can be reasonably considered as one of the cell death pathways involved in neuronal loss(Schon and Przedborski,2011).Multiple lines of evidence support that proposal such as the observations in postmortem human brain samples of PD patients including mitochondrial complex I deficiency,reactive oxygen species generation,and oxidative damage to lipids,proteins,and DNA,among others.展开更多
基金supported by the National Council of Science and Technology in Mexico(CONACYT)708452 CONACYT to LMM855559 CONACYT to GCC+1 种基金573686 CONACYT to RMRPAICYT 2021 to ACM。
文摘Prenatal programming during pregnancy sets physiological outcomes in the offspring by integrating external or internal stimuli.Accordingly,pregnancy is an important stage of physiological adaptations to the environment where the fetus becomes exposed and adapted to the maternal milieu.Maternal exposure to high-energy dense diets can affect motivated behavior in the offs p ring leading to addiction and impaired sociability.A high-energy dense exposure also increases the pro-inflammatory cytokines profile in plasma and brain and favors microglia activation in the offspring.While still under investigation,prenatal exposure to high-energy dense diets promotes structural abnormalities in selective brain regions regulating motivation and social behavior in the offspring.The current review addresses the role of energy-dense foods programming central and peripheral inflammatory profiles during embryonic development and its effect on motivated behavior in the offspring.We provide preclinical and clinical evidence that supports the contribution of prenatal programming in shaping immune profiles that favor structural and brain circuit disruption leading to aberrant motivated behaviors after birth.We hope this minireview encourages future research on novel insights into the mechanisms underlying maternal programming of motivated behavior by central immune networks.
文摘This paper presents a new method .linear programming method. to calculate the proportion of the cement raw material. Its advanlages are as following : good practicability, convenience for analysis, and being easy for controlling. The mathematical model given in the paper is apt to be realized on computer.
基金This work is supported by the Collaborative education project of QST Innovation Technology Group Co.,Ltd and the Ministry of Education of PRC(NO.201801243022).
文摘UML Class diagram generation from textual requirements is an important task in object-oriented design and programing course.This study proposes a method for automatically generating class diagrams from Chinese textual requirements on the basis of Natural Language Processing(NLP)and mapping rules for sentence pattern matching.First,classes are identified through entity recognition rules and candidate class pruning rules using NLP from requirements.Second,class attributes and relationships between classes are extracted using mapping rules for sentence pattern matching on the basis of NLP.Third,we developed an assistant tool integrated into a precision micro classroom system for automatic generation of class diagram,to effectively assist the teaching of object-oriented design and programing course.Results are evaluated with precision,accuracy and recall from eight requirements of object-oriented design and programing course using truth values created by teachers.Our research should benefit beginners of object-oriented design and programing course,who may be students or software developers.It helps them to create correct domain models represented in the UML class diagram.
文摘In many research disciplines, hypothesis tests are applied to evaluate whether findings are statistically significant or could be explained by chance. The Wilcoxon-Mann-Whitney （WMW） test is among the most popular hypothesis tests in medicine and life science to analyze if two groups of samples are equally distributed. This nonparametric statistical homogeneity test is commonly applied in molecular diagnosis. Generally, the solution of the WMW test takes a high combinatorial effort for large sample cohorts containing a significant number of ties. Hence, P value is frequently approximated by a normal distribution. We developed EDISON-WMW, a new approach to calcu- late the exact permutation of the two-tailed unpaired WMW test without any corrections required and allowing for ties. The method relies on dynamic programing to solve the combinatorial problem of the WMW test efficiently. Beyond a straightforward implementation of the algorithm, we pre- sented different optimization strategies and developed a parallel solution. Using our program, the exact P value for large cohorts containing more than 1000 samples with ties can be calculated within minutes. We demonstrate the performance of this novel approach on randomly-generated data, benchmark it against 13 other commonly-applied approaches and moreover evaluate molec- ular biomarkers for lung carcinoma and chronic obstructive pulmonary disease （COPD）. We foundthat approximated P values were generally higher than the exact solution provided by EDISON- WMW. Importantly, the algorithm can also be applied to high-throughput omics datasets, where hundreds or thousands of features are included. To provide easy access to the multi-threaded version of EDISON-WMW, a web-based solution of our algorithm is freely available at http：// www.ccb.uni-saarland.de/software/wtest/.
文摘The multi-satellite electromagnetic formation flight system is nonlinear and strongly coupled,which makes modeling and optimization challenging.To simplify electromagnetic force evaluation and dynamics modeling,we introduce a reference frame consistent with each satellite body frame,in which the electromagnetic dipoles and electromagnetic forces are represented as two-dimensional vectors.Then,the maneuver time is divided into time intervals,and different satellite sets are activated in each interval,converting the multi-satellite formation reconfiguration problem into an optimal trajectory problem of each two-satellite subsystem.To this end,a token-based dynamic programming method with a switching penalty of active satellite sets is proposed to determine the sequence of satellite sets participating in each time interval,thereby enabling all satellites to reach their desired states.For the two-satellite subsystem with the objectives of minimizing maneuver time and energy consumption,the Gauss pseudo-spectral method is employed to generate the optimal reconfiguration trajectory.Numerical simulations verify the effectiveness of the proposed optimization method.
文摘I was 26 the first time I travelled to China,and even now,it feels like an unexpected chapter in my life.The opportunity came out of the blue.I learned,just a month before departure,that I had been selected for a one-month professional training programme.The news ignited a wave of excitement.For nearly two weeks,I stayed up late into the night,imagining a country I had never seen,trying to picture what China might really be like,beyond the images in books,films and media.
文摘Races using kitefoil and windfoil surfboards have been in the Olympic Games for the first time in Paris 2024,signalling their relevance in sailing sports.However,the dynamics of these devices is yet not well understood,in particular the influence on the hydrodynamic forces and moments of the distance of the foil to the free surface.Considering this,the present paper documents an experimental investigation in which forces and torque produced,under uniform flow,by a full-scale state-of-the-art hydrofoil(suitable both for kitesurf and windsurf)were measured.A range of velocities,angles of attack,and submergences were tested,leading to Froude numbers based on submergence with maximum values around five,a typical range in actual sailing conditions.From these tests,formulae for the hydrodynamic coefficients have been proposed.They can be used for developing Velocity Prediction Programs(VPP)for this kind of craft,a necessary tool to plan racing configurations and to analyze their racing performance.With the aim of making the experimental data useful for benchmarking numerical models and for future research on related topics such as foil ventilation and transition to turbulence,the specimen’s 3D file is provided as supplementary material to this paper.
基金The National Natural Science Foundation of China[72174184]provided policy and financialsupport for this research.
文摘Objectives This study aimed to evaluate the effectiveness of the stepped self-care program on the self-care,self-efficacy,and quality of life of stroke survivors.Methods This quasi-experimental study allocated 110 stroke survivors from two neurology wards into an intervention group(n=55)who received the stepped self-care program and a control group(n=55)who received usual care from June to December 2023.The Self-Care of Stroke Inventory,Stroke Self-Efficacy Questionnaire,and the short version of the Stroke Specific Quality of Life Scale were administered at baseline(T0),immediately post-intervention(T_(1)),and at 1-month(T_(2))and 3-month(T_(3))follow-ups.Data were analyzed using repeated measures analyses of variance,and generalized estimating equations.Results A total of 48 participants in the intervention group and 50 participants in the control group completed the study.No statistically significant differences were observed at T0 in any of the measured indicators(all P>0.05).The study showed significant group,time,and group×time interaction effects across the assessed outcomes(all P<0.05).Follow-up between-group comparisons at T_(1),T_(2),and T_(3) indicated that the intervention group had significantly higher scores in self-care maintenance,self-care monitoring,self-care management,self-efficacy,and quality of life than the control group(all P<0.001).Conclusions The stepped self-care program significantly improved self-care behaviors,self-efficacy,and quality of life among stroke survivors.These findings support the broader implementation of this approach in post-discharge home self-care.
基金financially supported by Ministerio de Ciencia e Innovación projects SAF2017-82736-C2-1-R to MTMFin Universidad Autónoma de Madrid and by Fundación Universidad Francisco de Vitoria to JS+2 种基金a predoctoral scholarship from Fundación Universidad Francisco de Vitoriafinancial support from a 6-month contract from Universidad Autónoma de Madrida 3-month contract from the School of Medicine of Universidad Francisco de Vitoria。
文摘Every year, around the world, between 250,000 and 500,000 people suffer a spinal cord injury(SCI). SCI is a devastating medical condition that arises from trauma or disease-induced damage to the spinal cord, disrupting the neural connections that allow communication between the brain and the rest of the body, which results in varying degrees of motor and sensory impairment. Disconnection in the spinal tracts is an irreversible condition owing to the poor capacity for spontaneous axonal regeneration in the affected neurons.
基金supported by Tianjian advanced biomedical laboratory key research and development projectHenan Province Natural Science Foundation(Grant Number 242300421283)Major Science and Technology Project of Henan Province(221100310200)。
文摘Background:The gut microbiome has emerged as a critical modulator of cancer immunotherapy response.However,the mechanisms by which gut-associated metabolites influence checkpoint blockade efficacy in prostate cancer(PC)remain not fully explored.The study aimed to explore how gut metabolites regulate death-ligand 1(PD-L1)blockade via exosomes and boost immune checkpoint inhibitors(ICIs)in PC.Methods:We recruited 70 PC patients to set up into five subgroups.The integrated multi-omics analysis was performed.In parallel,we validated the function of gut microbiome-associated metabolites on PD-L1 production and immunotherapy treatment efficacy in PC cell lines and transgenic adenocarcinoma of the mouse prostate(TRAMP)models.Results:We identified two metabolites,16(R)-Hydroxyeicosatetraenoic acid(16(R)-HETE)and 6-Keto-Prostaglandin E1(6-Keto-PGE1),that positively correlated with the plasma exosomal PD-L1 levels.The in vitro experiments found that both 16(R)-HETE and 6-Keto-PGE1 can enhance PD-L1 expression at the mRNA,protein,and exosome levels in both human and mouse PC cell lines,which were also validated in vivo based on subcutaneous mouse models.Both metabolites significantly promoted the anti-PD-L1 efficacy against PC in situ on a TRAMP mouse model.Conclusions:Targeting the“gut-tumor metabolic axis”is a promising strategy to improve the efficacy of immune checkpoint inhibitors in tumors.
基金supported by Technology Project of State Grid Tianjin Electric Power Company(2024-06)“Research on hierarchical partition dynamic calculation and panoramic monitoring technology of electric power carbon emission and its application”.
文摘In the pursuit of carbon peaking and neutrality goals,multi-energy parks,as major energy consumers and carbon emitters,urgently require low-carbon operational strategies.This paper proposes an electricity-carbon synergy-driven optimization method for the low-carbon operation ofmulti-energy parks.Themethod integratesmultienergy complementary scheduling with a tiered carbon trading mechanism to balance operational security,economic efficiency,and environmental objectives.A mixed-integer linear programming model is developed to characterize the coupling relationships and dynamic behaviors of key equipment,including photovoltaic systems,ground-source heat pumps,thermal storage electric boilers,combined heat and power units,and electrical energy storage systems.Furthermore,a tiered carbon trading model is established that incorporates carbon quota allocation and tiered carbon pricing to internalize carbon costs and discourage high-emission practices.Multi-scenario comparative analyses demonstrate that the electricity-carbon synergy scenario achieves a 42.64%reduction in carbon emissions compared to economy-oriented operation,while limiting the increase in operational costs to 20.85%.The carbon-prioritized scenario further reduces emissions by 9.7%,underscoring the inhibitory effect of the tiered carbon pricing mechanism on highcarbon activities.Sensitivity analyses confirm the model’s robustness against fluctuations in energy load,uncertainty in renewable generation,and variations in carbon price.This optimization method provides theoretical support for multi-energy coordinated scheduling and carbon responsibility allocation in industrial parks,offering valuable insights for promoting green transformation initiatives.
基金supported by the National Natural Sci‐ence Foundation of China(Grant No.62306325)。
文摘During the use of robotics in applications such as antiterrorism or combat,a motion-constrained pursuer vehicle,such as a Dubins unmanned surface vehicle(USV),must get close enough(within a prescribed zero or positive distance)to a moving target as quickly as possible,resulting in the extended minimum-time intercept problem(EMTIP).Existing research has primarily focused on the zero-distance intercept problem,MTIP,establishing the necessary or sufficient conditions for MTIP optimality,and utilizing analytic algorithms,such as root-finding algorithms,to calculate the optimal solutions.However,these approaches depend heavily on the properties of the analytic algorithm,making them inapplicable when problem settings change,such as in the case of a positive effective range or complicated target motions outside uniform rectilinear motion.In this study,an approach employing a high-accuracy and quality-guaranteed mixed-integer piecewise-linear program(QG-PWL)is proposed for the EMTIP.This program can accommodate different effective interception ranges and complicated target motions(variable velocity or complicated trajectories).The high accuracy and quality guarantees of QG-PWL originate from elegant strategies such as piecewise linearization and other developed operation strategies.The approximate error in the intercept path length is proved to be bounded to h^(2)/(4√2),where h is the piecewise length.
文摘Editor's Note In his keynote address at the opening ceremony of the Global Leaders'Meeting on Women,held in Beijing on October 13,2025,Chinese President Xi Jinping announced a series of measures China will take,in the next five years,to further support the global cause of women.One of the measures is:China will launch 1,000"small and beautiful"livelihood programs with Chinese assistance that take women and girls as priority beneficiaries.
文摘Message structure reconstruction is a critical task in protocol reverse engineering,aiming to recover protocol field structures without access to source code.It enables important applications in network security,including malware analysis and protocol fuzzing.However,existing methods suffer from inaccurate field boundary delineation and lack hierarchical relationship recovery,resulting in imprecise and incomplete reconstructions.In this paper,we propose ProRE,a novel method for reconstructing protocol field structures based on program execution slice embedding.ProRE extracts code slices from protocol parsing at runtime,converts them into embedding vectors using a data flow-sensitive assembly language model,and performs hierarchical clustering to recover complete protocol field structures.Evaluation on two datasets containing 12 protocols shows that ProRE achieves an average F1 score of 0.85 and a cophenetic correlation coefficient of 0.189,improving by 19%and 0.126%respectively over state-of-the-art methods(including BinPRE,Tupni,Netlifter,and QwQ-32B-preview),demonstrating significant superiority in both accuracy and completeness of field structure recovery.Case studies further validate the effectiveness of ProRE in practical malware analysis scenarios.
基金financially supported by the Natural Science Foundation of Jiangsu Province (No.BK20200709)the Natural Science Foundation of China (Nos.62288102,32201127 and 82270113)+2 种基金the Natural Science Foundation of Guangdong Province (No.2023A1515011386)the Natural Science Foundation of the Jiangsu Higher Education Institutes (No.20KJB430031)the startup fund from Nanjing Tech University,and Disciplinary Fund of School of Pharmaceutical Sciences (2024)。
文摘The field of nanomedicine has been revolutionized by the concept of immunogenic cell death(ICD)-enhanced cancer therapy,which holds immense promise for the efficient treatment of cancer.However,precise delivery of ICD inducer is severely hindered by complex biological barriers.How to design and build intelligent nanoplatform for adaptive and dynamic cancer therapy remains a big challenge.Herein,this article presents the design and preparation of CD44-targeting and ZIF-8 gated gold nanocage(Au@ZH) for programmed delivery of the 1,2-diaminocyclohexane-Pt(Ⅱ)(DACHPt) as ICD inducer.After actively targeting the CD44 on the surface of 4T1 tumor cell,this Pt-Au@ZH can be effectively endocytosed by the 4T1 cell and release the DACHPt in tumor acidic environment,resulting in ICD effect and superior antitumor efficacy both in vitro and in vivo in the presence of mild 808 nm laser irradiation.By integration of internal and external stimuli intelligently,this programmed nanoplatform is poised to become a cornerstone in the pursuit of effective and targeted cancer therapy in the foreseeable future.
基金supported by the Natural Science Foundation of Chongqing,No.CSTB2023NSCQ-mSX0561(to WL).
文摘Effective treatment methods for stroke,a common cerebrovascular disease with a high mortality rate,are still being sought.Exosome therapy,a form of acellular therapy,has demonstrated promising efficacy in various diseases in animal models;however,there is currently insufficient evidence to guide the clinical application of exosome in patients with stroke.This article reviews the progress of exosome applications in stroke treatment.It aims to elucidate the significant potential value of exosomes in stroke therapy and provide a reference for their clinical translation.At present,many studies on exosome-based therapies for stroke are actively underway.Regarding preclinical research,exosomes,as bioactive substances with diverse sources,currently favor stem cells as their origin.Due to their high plasticity,exosomes can be effectively modified through various physical,chemical,and genetic engineering methods to enhance their efficacy.In animal models of stroke,exosome therapy can reduce neuroinflammatory responses,alleviate oxidative stress damage,and inhibit programmed cell death.Additionally,exosomes can promote angiogenesis,repair and regenerate damaged white matter fiber bundles,and facilitate the migration and differentiation of neural stem cells,aiding the repair process.We also summarize new directions for the application of exosomes,specifically the exosome intervention through the ventricular-meningeal lymphatic system.The review findings suggest that the treatment paradigm for stroke is poised for transformation.
基金supported in part by the International Science and Technology Project of Guangzhou Development District under Grant 2023GH08the Science and Technology Development Fund,MSAR,under Grants 0029/2022/AGJ and 0029/2023/RIA1the Program of Guangdong under Grant 2023A0505020003.
文摘To conduct marine surveys,multiple unmanned surface vessels(Multi-USV)with different capabilities perform collaborative mapping in multiple designated areas.This paper proposes a task allocation algorithm based on integer linear programming(ILP)with flow balance constraints,ensuring the fair and efficient distribution of sub-areas among USVs and maintaining strong connectivity of assigned regions.In the established gridmap,a search-based path planning algorithm is performed on the sub-areas according to the allocation scheme.It uses the greedy algorithm and the A*algorithm to achieve complete coverage of the barrier-free area and obtain an efficient trajectory of each USV.The greedy algorithm enables fast local traversal of unvisited grids,while the A*algorithm ensures navigation to escape from deadlock areas and maintains global path continuity.The comparison of task allocation results proves that the task allocation algorithm based on ILP improves the mapping efficiency and task distribution fairness.The proposed allocation method and result analysis provide a certain reference for the practical application ofMulti-USV to perform survey tasks collaboratively.
基金supported by the Spanish Ministerio de Ciencia e Innovación/Agencia Española de Investigación(PID2021-124096OB-I00)(to JLV)JGR was granted by Demensfonden,The Royal Physiografic Society of Lund,Neurofonden,The Greta och Johan Kocks stiftelser,and Bertil och Ebon Norlins stiftelse.
文摘Different forms of programmed cell death have been described to participate in the degeneration of dopaminergic neurons in Parkinson’s disease(PD).Given the critical role that disturbance of mitochondrial homeostasis plays in the pathogenesis of PD,apoptosis can be reasonably considered as one of the cell death pathways involved in neuronal loss(Schon and Przedborski,2011).Multiple lines of evidence support that proposal such as the observations in postmortem human brain samples of PD patients including mitochondrial complex I deficiency,reactive oxygen species generation,and oxidative damage to lipids,proteins,and DNA,among others.
