AIM: To compare the trauma experience gained by a trainee at a United Kingdom major trauma centre and a secondary level hospital in South Africa.METHODS: A profile of inpatient trauma cases during a five-week period i...AIM: To compare the trauma experience gained by a trainee at a United Kingdom major trauma centre and a secondary level hospital in South Africa.METHODS: A profile of inpatient trauma cases during a five-week period in Addenbrooke's Hospital, Cambridge and Somerset Hospital, Cape Town was created. This was achieved by recording various parameters for each patient admitted including age, gender, injury, mechanism of injury and postal/area code. This, together with details of the departments themselves, allows a comparison of the amount and variety of orthopaedic trauma cases experienced by an individual trainee in each setting. RESULTS: The trauma profiles differed significantly. Patients in Cape Town were younger and more likely to be male. In the young, injury in Cape Town was more likely to occur due to assault or being struck by a vehicle, whilst patients in Cambridge were more likely to be injured whilst in a vehicle or in high energy falls. In older patients, trauma at both centres was almost exclusively due to mechanical falls. In a given age group, injuries at the two centres were similar, however the majority of patients admitted to Addenbrooke's were elderly, resulting in less variation in the overall injury profile.CONCLUSION: The trauma profile of a major trauma centre in the United Kingdom is less varied than that of a South African secondary centre, with significantly fewer cases per surgeon. This suggests a more variedtraining experience in the developing world with a greater caseload.展开更多
Growing interest in non-covalent interactions involving chalcogen atoms has been ascribed to their importance in crystal engineering, molecular recognition and macromolecular edifices. The present study is dealing wit...Growing interest in non-covalent interactions involving chalcogen atoms has been ascribed to their importance in crystal engineering, molecular recognition and macromolecular edifices. The present study is dealing with chalcogen bonds involving divalent Sulphur, Selenium and Tellurium atoms, acting as sigma-hole donors, in small-molecule compounds using the Cambridge Structural Database (CSD) in conjunction with ab initio calculations. Results derived from CSD surveys and computational study revealed that nucleophiles formed complexes with the chalcogen-bond donors R1-X-R2 (X = S, Se or Te). The main forces stabilizing the complexes were chalcogen bonds, enhanced by dispersion interactions. Complexation pattern and energetics show that nucleophile bonding at divalent S, Se and Te atoms is a relatively strong and directed interaction. The bond consists of a charge transfer from a nucleophile atom lone pair to an X-R1 or X-R2 antibonding orbital.展开更多
Although multicrystalline Si photovoltaics have been extensively studied and applied in the collection of solar energy,the same systems suffer significant efficiency losses in indoor settings,where ambient light condi...Although multicrystalline Si photovoltaics have been extensively studied and applied in the collection of solar energy,the same systems suffer significant efficiency losses in indoor settings,where ambient light conditions are considerably smaller in intensity and possess greater components of non-normal incidence.Yet,indoor light-driven,stand-alone devices can offer sustainable advances in next-generation technologies such as the Internet of Things.Here,we present a non-invasive solution to aid in photovoltaic indoor light collection—radially distributed waveguide-encoded lattice(RDWEL)slim films(thickness 1.5 mm).Embedded with a monotonical radial array of cylindrical waveguides(±20°),the RDWEL demonstrates seamless light collection(FoV(fields of view)=74.5°)and imparts enhancements in JSC(short circuit current density)of 44%and 14%for indoor and outdoor lighting conditions,respectively,when coupled to a photovoltaic device and compared to an unstructured but otherwise identical slim film coating.展开更多
Nanoconfinement is a promising approach to simultaneously enhance the thermodynamics,kinetics,and cycling stability of hydrogen storage materials.The introduction of supporting scaffolds usually causes a reduction in ...Nanoconfinement is a promising approach to simultaneously enhance the thermodynamics,kinetics,and cycling stability of hydrogen storage materials.The introduction of supporting scaffolds usually causes a reduction in the total hydrogen storage capacity due to“dead weight.”Here,we synthesize an optimized N-doped porous carbon(rN-pC)without heavy metal as supporting scaffold to confine Mg/MgH_(2) nanoparticles(Mg/MgH_(2)@rN-pC).rN-pC with 60 wt%loading capacity of Mg(denoted as 60 Mg@rN-pC)can adsorb and desorb 0.62 wt%H_(2) on the rN-pC scaffold.The nanoconfined MgH_(2) can be chemically dehydrided at 175℃,providing~3.59 wt%H_(2) with fast kinetics(fully dehydrogenated at 300℃ within 15 min).This study presents the first realization of nanoconfined Mg-based system with adsorption-active scaffolds.Besides,the nanoconfined MgH_(2) formation enthalpy is reduced to~68 kJ mol^(−1) H_(2) from~75 kJ mol^(−1) H_(2) for pure MgH_(2).The composite can be also compressed to nanostructured pellets,with volumetric H_(2) density reaching 33.4 g L^(−1) after 500 MPa compression pressure,which surpasses the 24 g L^(−1) volumetric capacity of 350 bar compressed H_(2).Our approach can be implemented to the design of hybrid H_(2) storage materials with enhanced capacity and desorption rate.展开更多
Space exploration is significant for scientific innovation,resource utilization,and planetary security.Space exploration involves several systems including satellites,space suits,communication systems,and robotics,whi...Space exploration is significant for scientific innovation,resource utilization,and planetary security.Space exploration involves several systems including satellites,space suits,communication systems,and robotics,which have to function under harsh space conditions such as extreme temperatures(−270 to 1650℃),microgravity(10^(-6)g),unhealthy humidity(<20%RH or>60%RH),high atmospheric pressure(~1450 psi),and radiation(4000–5000 mSv).Conventional energy-harvesting technologies(solar cells,fuel cells,and nuclear energy),that are normally used to power these space systems have certain limitations(e.g.,sunlight dependence,weight,degradation,big size,high cost,low capacity,radioactivity,complexity,and low efficiency).The constraints in conventional energy resources have made it imperative to look for non-conventional yet efficient alternatives.A great potential for enhancing efficiency,sustainability,and mission duration in space exploration can be offered by integrating triboelectric nanogenerators(TENGs)with existing energy sources.Recently,the potential of TENG including energy harvesting(from vibrations/movements in satellites and spacecraft),self-powered sensing,and microgravity,for multiple applications in different space missions has been discussed.This review comprehensively covers the use of TENGs for various space applications,such as planetary exploration missions(Mars environment monitoring),manned space equipment,In-orbit robotic operations/collision monitoring,spacecraft’s design and structural health monitoring,Aeronautical systems,and conventional energy harvesting(solar and nuclear).This review also discusses the use of self-powered TENG sensors for deep space object perception.At the same time,this review compares TENGs with conventional energy harvesting technologies for space systems.Lastly,this review talks about energy harvesting in satellites,TENG-based satellite communication systems,and future practical implementation challenges(with possible solutions).展开更多
Heart disease remains a leading cause of mortality worldwide,emphasizing the urgent need for reliable and interpretable predictive models to support early diagnosis and timely intervention.However,existing Deep Learni...Heart disease remains a leading cause of mortality worldwide,emphasizing the urgent need for reliable and interpretable predictive models to support early diagnosis and timely intervention.However,existing Deep Learning(DL)approaches often face several limitations,including inefficient feature extraction,class imbalance,suboptimal classification performance,and limited interpretability,which collectively hinder their deployment in clinical settings.To address these challenges,we propose a novel DL framework for heart disease prediction that integrates a comprehensive preprocessing pipeline with an advanced classification architecture.The preprocessing stage involves label encoding and feature scaling.To address the issue of class imbalance inherent in the personal key indicators of the heart disease dataset,the localized random affine shadowsampling technique is employed,which enhances minority class representation while minimizing overfitting.At the core of the framework lies the Deep Residual Network(DeepResNet),which employs hierarchical residual transformations to facilitate efficient feature extraction and capture complex,non-linear relationships in the data.Experimental results demonstrate that the proposed model significantly outperforms existing techniques,achieving improvements of 3.26%in accuracy,3.16%in area under the receiver operating characteristics,1.09%in recall,and 1.07%in F1-score.Furthermore,robustness is validated using 10-fold crossvalidation,confirming the model’s generalizability across diverse data distributions.Moreover,model interpretability is ensured through the integration of Shapley additive explanations and local interpretable model-agnostic explanations,offering valuable insights into the contribution of individual features to model predictions.Overall,the proposed DL framework presents a robust,interpretable,and clinically applicable solution for heart disease prediction.展开更多
A large body of evidence has highlighted the role of non-coding RNAs in neurodevelopment and neuroinflammation.This evidence has led to increasing speculation that non-coding RNAs may be involved in the pathophysiolog...A large body of evidence has highlighted the role of non-coding RNAs in neurodevelopment and neuroinflammation.This evidence has led to increasing speculation that non-coding RNAs may be involved in the pathophysiological mechanisms underlying hydrocephalus,one of the most common neurological conditions worldwide.In this review,we first outline the basic concepts and incidence of hydrocephalus along with the limitations of existing treatments for this condition.Then,we outline the definition,classification,and biological role of non-coding RNAs.Subsequently,we analyze the roles of non-coding RNAs in the formation of hydrocephalus in detail.Specifically,we have focused on the potential significance of non-coding RNAs in the pathophysiology of hydrocephalus,including glymphatic pathways,neuroinflammatory processes,and neurological dysplasia,on the basis of the existing evidence.Lastly,we review the potential of non-coding RNAs as biomarkers of hydrocephalus and for the creation of innovative treatments.展开更多
INTRODUCTION This paper is a case study of the progress on environmental and development fronts in this critical area of Cambridge,Massachusetts.Portions of the riverine system to the north(Little River and Alewife Re...INTRODUCTION This paper is a case study of the progress on environmental and development fronts in this critical area of Cambridge,Massachusetts.Portions of the riverine system to the north(Little River and Alewife Reservation)have been restored and include public amenities,and the park to the east(Danehy Park)has been realized.The degraded industrial land uses that had comprised the bulk of the land use have made a transition to a dynamic,mixed-used neighborhood.展开更多
The interaction between metabolic dysfunction and inflammation is central to the development of neurodegenerative diseases such as Alzheimer’s disease and Parkinson’s disease.Obesity-related conditions like type 2 d...The interaction between metabolic dysfunction and inflammation is central to the development of neurodegenerative diseases such as Alzheimer’s disease and Parkinson’s disease.Obesity-related conditions like type 2 diabetes and non-alcoholic fatty liver disease exacerbate this relationship.Peripheral lipid accumulation,particularly in the liver,initiates a cascade of inflammatory processes that extend to the brain,influencing critical metabolic regulatory regions.Ceramide and palmitate,key lipid components,along with lipid transporters lipocalin-2 and apolipoprotein E,contribute to neuroinflammation by disrupting blood–brain barrier integrity and promoting gliosis.Peripheral insulin resistance further exacerbates brain insulin resistance and neuroinflammation.Preclinical interventions targeting peripheral lipid metabolism and insulin signaling pathways have shown promise in reducing neuroinflammation in animal models.However,translating these findings to clinical practice requires further investigation into human subjects.In conclusion,metabolic dysfunction,peripheral inflammation,and insulin resistance are integral to neuroinflammation and neurodegeneration.Understanding these complex mechanisms holds potential for identifying novel therapeutic targets and improving outcomes for neurodegenerative diseases.展开更多
Peripheral immunity forms the foundation of tumor immunity,while tumor immunity represents a more refined adaptation of peripheral immune responses.The tumor microenvironment(TME),a localized niche surrounding tumor c...Peripheral immunity forms the foundation of tumor immunity,while tumor immunity represents a more refined adaptation of peripheral immune responses.The tumor microenvironment(TME),a localized niche surrounding tumor cells,is inherently immunosuppressive(1,2).Effective tumor therapy necessitates the dismantling of this microenvironment,aiming to eradicate tumors from the host system.展开更多
The principal breast cancer treatment approach has long been surgical removal of the primary breast lesions and regional lymph nodes,particularly the axillary lymph nodes.However,the advent of minimally invasive diagn...The principal breast cancer treatment approach has long been surgical removal of the primary breast lesions and regional lymph nodes,particularly the axillary lymph nodes.However,the advent of minimally invasive diagnostic techniques,such as sentinel lymph node biopsy(SLNB),has markedly diminished the extent of surgery required for regional lymph nodes.展开更多
Retrogressive landslides in sensitive clays pose significant risks to nearby infrastructure,as natural toe erosion or localized disturbances can trigger progressive block failures.While prior studies have largely reli...Retrogressive landslides in sensitive clays pose significant risks to nearby infrastructure,as natural toe erosion or localized disturbances can trigger progressive block failures.While prior studies have largely relied on two-dimensional(2D)large-deformation analyses,such models overlook key three-dimensional(3D)failure mechanisms and variability effects.This study develops a 3D probabilistic framework by integrating the Coupled Eulerian–Lagrangian(CEL)method with random field theory to simulate retrogressive landslides in spatially variable clay.Using Monte Carlo simulations,we compare 2D and 3D random large-deformation models to evaluate failure modes,runout distances,sliding velocities,and influence zones.The 3D analyses captured more complex failure modes—such as lateral retrogression and asynchronous block mobilization across slope width.Additionally,the 3D analyses predict longer mean runout distances(13.76 vs.11.92 m),wider mean influence distance(11.35 vs.8.73 m),and higher mean sliding velocities(4.66 vs.3.94 m/s)than their 2D counterparts.Moreover,3D models exhibit lower coefficients of variation(e.g.,0.10 for runout distance)due to spatial averaging across slope width.Probabilistic hazard assessment shows that 2D models significantly underpredict near-field failure probabilities(e.g.,48.8%vs.89.9%at 12 m from the slope toe).These findings highlight the limitations of 2D analyses and the importance of multi-directional spatial variability for robust geohazard assessments.The proposed 3D framework enables more realistic prediction of landslide mobility and supports the design of safer,risk-informed infrastructure.展开更多
[Objective]Surface water flooding is caused by heavy rainfall,which has been the main type of flooding in many cities across the world.Real urban environments are highly complex,and there are numerous parameters influ...[Objective]Surface water flooding is caused by heavy rainfall,which has been the main type of flooding in many cities across the world.Real urban environments are highly complex,and there are numerous parameters influencing the rainfall-runoff processes,such as road width,orientation and building coverage.The main objective is to perform a parametric study concerning the rainfall-runoff processes in complex urban environments,in order to gain a better understanding of the impact of urban characteristics on the surface runoff.[Methods]Realistic urban layouts are generated by means of procedural modelling software,which parameterises the urban configurations using 11 independent variables,including the averaged street length,street orientation,street curvature,major street width,minor street width,park coverage,etc.A shock-capturing TVD MacCormack shallow water equations solver is used to undertake a large number of computational simulations regarding the rainfall-runoff processes over realistic urban layouts.The dominating urban parameters that influence the time of concentration is unveiled,which characterises the timescale of the flood formation.[Results]In order to generalise the research outcomes,the obtained hydrographs at the outlet of the catchment are normalised so that they are independent of the catchment area,slope or rainfall intensity.The dimensionless time of concentration is thus only the functions of 12 independent parameters,including 11 parameters that governing the urban layouts and the Manning roughness coefficient of the ground.A sensitivity analysis,based on the multiple linear regression method,is performed on the 2,994 simulation cases to quantify the influence of each parameter.[Conclusion]The results show that the ground roughness and the building coverage ratio are the two most important factors that influence the urban flood formation.Their influences on the dimensionless timescale of the urban catchments’response to rainfall are quantified by empirical formulae.The research findings can provide useful guidelines for the design of future flood-resilient urban environments and the improvement of existing drainage systems in cities.展开更多
Correction to:Nano-Micro Letters(2025)17:135 https://doi.org/10.1007/s40820-024-01634-8 Following publication of the original article[1],the authors reported that the corresponding author would like to update the emai...Correction to:Nano-Micro Letters(2025)17:135 https://doi.org/10.1007/s40820-024-01634-8 Following publication of the original article[1],the authors reported that the corresponding author would like to update the email address from xingcai@stanford.edu to drtea1@wteao.com.Also,the corresponding author’s affiliation can be expanded.展开更多
Combined with elastic network model(ENM),the perturbation response scanning(PRS)has emerged as a robust technique for pinpointing allosteric interactions within proteins.Here,we proposed the PRS analysis of drug-targe...Combined with elastic network model(ENM),the perturbation response scanning(PRS)has emerged as a robust technique for pinpointing allosteric interactions within proteins.Here,we proposed the PRS analysis of drug-target networks(DTNs),which could provide a promising avenue in network medicine.We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework,for drug repurposing of multiple sclerosis(MS).First,the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes.Then,based on topological analysis and functional annotation,the neurotransmission module was identified as the“therapeutic module”of MS.Further,perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis,giving a list of repurposable drugs for MS.Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of se-rotonin 2B receptor(HTR2B).Finally,we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex.These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS.As a useful systematic method,our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.展开更多
Joanna Page is Director of CRASSH and Professor of Latin American Studies at the University of Cambridge.Her research interests are generally connected to the relationship between science and culture in Latin America....Joanna Page is Director of CRASSH and Professor of Latin American Studies at the University of Cambridge.Her research interests are generally connected to the relationship between science and culture in Latin America.She has also worked on questions of memory,modernity,capitalism,posthumanism,new materialism,decoloniality,ecology,and environmental thought.This interview covers three main aspects:the characteristics of science fiction texts in Latin America,the interdisciplinary research models at the intersection of science,literature,and art,and Latin America as a field of regional studies.Professor Page starts with Argentine science fiction novels and expands the discussion to include graphic novels in Latin America,outlining the panorama of science fiction and its indigenous features.The conversation delves into the literary and technological relationships within Latin American science fiction texts.Building upon this foundation,this interview explores the interdisciplinary research paradigms concerning the relationship between science and culture,aiming to contribute to regional studies by exploring new pathways for interdisciplinary,cross-regional,and trans-media research.展开更多
The increasing use of robotic surgery has seen a wave of technology ripple through global healthcare.Similar changes occurred in aviation several decades ago.New robot types have increased access for both patients and...The increasing use of robotic surgery has seen a wave of technology ripple through global healthcare.Similar changes occurred in aviation several decades ago.New robot types have increased access for both patients and surgeons.The modern robotic curriculum therefore needs to train surgeons of varying experience,gaining access to several robot types,and based in centres around the world.Drawing on this analogy with aviation helps to derive principles for curriculum design,and considers humanemachine interface,non-technical skills,team training,and simulation.The components of the curriculum could be core(cross-platform),platform-specific,specialty-specific,and platform-transitional.Analogous concepts also emerge,including type rating,control as surgery-by-wire,spatio-haptic envelope,and virtual operations.The fourth industrial revolution sets anticipation for progress.展开更多
As robotic surgery provides clinical benefits and increases on a global scale,it also signifies the transition from direct manual control of surgical instruments to digital connectivity and teleoperation.The digital c...As robotic surgery provides clinical benefits and increases on a global scale,it also signifies the transition from direct manual control of surgical instruments to digital connectivity and teleoperation.The digital coupling between human control inputs and surgical motion replaces the previous physical link.Robotic surgery is therefore in effect‘surgery-by-wire’,the term capturing the engineering phenomenon that has also occurred in the‘fly-by-wire’of aviation and‘drive-by-wire’of cars.This paper reviews the fundamental commonality across domains.Intrinsic to‘by-wire’control is digital processing,which generates the control signal to the effector.This processing enables a progressive spectrum of motion modulation,from precision and stability of motion,through assistance and envelope protection,to automation.Precision now manifests in all three domains.In modern aircraft and cars,higher-order assistance is commonplace,such as flight envelope protection,with analogous support in driving,as well as significant automation.In robotic surgery,such assistance and automation have not yet entered wider clinical practice,with concepts such as envelope protection requiring further definition.The digital interface combined with telecommunication has also enabled teleoperation in all domains.Therefore,motion‘by-wire’has enhanced performance across industries.A cross-domain perspective will be increasingly useful to facilitate technology transfer and catalyse progress in robotic surgery.As the pan-industry digital transformation evolves,important principles can be derived for application in robotic surgery.展开更多
Current treatment options for hepatitis D are limited,with pegylated interferonalpha(PEG-IFNα)being the only therapy available in the Asia-Pacific region.However,PEG-IFNαhas limited efficacy and significant side eff...Current treatment options for hepatitis D are limited,with pegylated interferonalpha(PEG-IFNα)being the only therapy available in the Asia-Pacific region.However,PEG-IFNαhas limited efficacy and significant side effects.Pegylated interferon lambda acts on interferon-lambda(Type III)receptors predominantly expressed in hepatocytes.In 2023,bulevirtide was approved in the European Union and Russia for treating chronic hepatitis D.This drug works by binding to and inhibiting the sodium taurocholate co-transporting polypeptide receptor on liver cells,which is the primary entry point for the virus.Recently,several new drugs have entered various stages of development,offering hope for improved hepatitis D virus(HDV)management.Two more viral entry inhibitors are HH003 and tobevibart.Other agents include nucleic acid polymers(REP 2139-Mg),prenylation inhibitors(lonafarnib),and RNA interference-based therapies(elebsiran).Emerging trials are now considering combination therapies,such as SOLSTICE,a Phase 2 clinical trial evaluating tobevibart alone or combined with elebsiran.The combination dosed monthly achieved>50%virologic and biochemical response at 24 weeks of therapy.The efficacy and safety of these drugs will further be evaluated in ECLIPSE 1,2,and 3 trials.With these new treatments on the horizon,the prospects for improved HDV patient outcomes are promising.展开更多
文摘AIM: To compare the trauma experience gained by a trainee at a United Kingdom major trauma centre and a secondary level hospital in South Africa.METHODS: A profile of inpatient trauma cases during a five-week period in Addenbrooke's Hospital, Cambridge and Somerset Hospital, Cape Town was created. This was achieved by recording various parameters for each patient admitted including age, gender, injury, mechanism of injury and postal/area code. This, together with details of the departments themselves, allows a comparison of the amount and variety of orthopaedic trauma cases experienced by an individual trainee in each setting. RESULTS: The trauma profiles differed significantly. Patients in Cape Town were younger and more likely to be male. In the young, injury in Cape Town was more likely to occur due to assault or being struck by a vehicle, whilst patients in Cambridge were more likely to be injured whilst in a vehicle or in high energy falls. In older patients, trauma at both centres was almost exclusively due to mechanical falls. In a given age group, injuries at the two centres were similar, however the majority of patients admitted to Addenbrooke's were elderly, resulting in less variation in the overall injury profile.CONCLUSION: The trauma profile of a major trauma centre in the United Kingdom is less varied than that of a South African secondary centre, with significantly fewer cases per surgeon. This suggests a more variedtraining experience in the developing world with a greater caseload.
文摘Growing interest in non-covalent interactions involving chalcogen atoms has been ascribed to their importance in crystal engineering, molecular recognition and macromolecular edifices. The present study is dealing with chalcogen bonds involving divalent Sulphur, Selenium and Tellurium atoms, acting as sigma-hole donors, in small-molecule compounds using the Cambridge Structural Database (CSD) in conjunction with ab initio calculations. Results derived from CSD surveys and computational study revealed that nucleophiles formed complexes with the chalcogen-bond donors R1-X-R2 (X = S, Se or Te). The main forces stabilizing the complexes were chalcogen bonds, enhanced by dispersion interactions. Complexation pattern and energetics show that nucleophile bonding at divalent S, Se and Te atoms is a relatively strong and directed interaction. The bond consists of a charge transfer from a nucleophile atom lone pair to an X-R1 or X-R2 antibonding orbital.
基金supported by the European Research Council(ERC)under the European Union's Horizon 2020 Research and Innovation Programme(Grant Agreement No.818762)the Engineering and Physical Sciences Research Council(Grant No.EP/V048953/1)and the Isaac Newton Trust(grant 22.39(m))。
文摘Although multicrystalline Si photovoltaics have been extensively studied and applied in the collection of solar energy,the same systems suffer significant efficiency losses in indoor settings,where ambient light conditions are considerably smaller in intensity and possess greater components of non-normal incidence.Yet,indoor light-driven,stand-alone devices can offer sustainable advances in next-generation technologies such as the Internet of Things.Here,we present a non-invasive solution to aid in photovoltaic indoor light collection—radially distributed waveguide-encoded lattice(RDWEL)slim films(thickness 1.5 mm).Embedded with a monotonical radial array of cylindrical waveguides(±20°),the RDWEL demonstrates seamless light collection(FoV(fields of view)=74.5°)and imparts enhancements in JSC(short circuit current density)of 44%and 14%for indoor and outdoor lighting conditions,respectively,when coupled to a photovoltaic device and compared to an unstructured but otherwise identical slim film coating.
基金supported by the National Key R&D Program of China(2022YFB3803700)National Natural Science Foundation of China(52171186)+1 种基金Young Elite Scientists Sponsorship Program by CAST(2023QNRC001)support from“Zhiyuan Honor Program”for doctoral students,Shanghai Jiao Tong University.
文摘Nanoconfinement is a promising approach to simultaneously enhance the thermodynamics,kinetics,and cycling stability of hydrogen storage materials.The introduction of supporting scaffolds usually causes a reduction in the total hydrogen storage capacity due to“dead weight.”Here,we synthesize an optimized N-doped porous carbon(rN-pC)without heavy metal as supporting scaffold to confine Mg/MgH_(2) nanoparticles(Mg/MgH_(2)@rN-pC).rN-pC with 60 wt%loading capacity of Mg(denoted as 60 Mg@rN-pC)can adsorb and desorb 0.62 wt%H_(2) on the rN-pC scaffold.The nanoconfined MgH_(2) can be chemically dehydrided at 175℃,providing~3.59 wt%H_(2) with fast kinetics(fully dehydrogenated at 300℃ within 15 min).This study presents the first realization of nanoconfined Mg-based system with adsorption-active scaffolds.Besides,the nanoconfined MgH_(2) formation enthalpy is reduced to~68 kJ mol^(−1) H_(2) from~75 kJ mol^(−1) H_(2) for pure MgH_(2).The composite can be also compressed to nanostructured pellets,with volumetric H_(2) density reaching 33.4 g L^(−1) after 500 MPa compression pressure,which surpasses the 24 g L^(−1) volumetric capacity of 350 bar compressed H_(2).Our approach can be implemented to the design of hybrid H_(2) storage materials with enhanced capacity and desorption rate.
基金supported by Swedish Research Council(Vetenskapsradet,2023-04962).
文摘Space exploration is significant for scientific innovation,resource utilization,and planetary security.Space exploration involves several systems including satellites,space suits,communication systems,and robotics,which have to function under harsh space conditions such as extreme temperatures(−270 to 1650℃),microgravity(10^(-6)g),unhealthy humidity(<20%RH or>60%RH),high atmospheric pressure(~1450 psi),and radiation(4000–5000 mSv).Conventional energy-harvesting technologies(solar cells,fuel cells,and nuclear energy),that are normally used to power these space systems have certain limitations(e.g.,sunlight dependence,weight,degradation,big size,high cost,low capacity,radioactivity,complexity,and low efficiency).The constraints in conventional energy resources have made it imperative to look for non-conventional yet efficient alternatives.A great potential for enhancing efficiency,sustainability,and mission duration in space exploration can be offered by integrating triboelectric nanogenerators(TENGs)with existing energy sources.Recently,the potential of TENG including energy harvesting(from vibrations/movements in satellites and spacecraft),self-powered sensing,and microgravity,for multiple applications in different space missions has been discussed.This review comprehensively covers the use of TENGs for various space applications,such as planetary exploration missions(Mars environment monitoring),manned space equipment,In-orbit robotic operations/collision monitoring,spacecraft’s design and structural health monitoring,Aeronautical systems,and conventional energy harvesting(solar and nuclear).This review also discusses the use of self-powered TENG sensors for deep space object perception.At the same time,this review compares TENGs with conventional energy harvesting technologies for space systems.Lastly,this review talks about energy harvesting in satellites,TENG-based satellite communication systems,and future practical implementation challenges(with possible solutions).
基金funded by Ongoing Research Funding Program for Project number(ORF-2025-648),King Saud University,Riyadh,Saudi Arabia.
文摘Heart disease remains a leading cause of mortality worldwide,emphasizing the urgent need for reliable and interpretable predictive models to support early diagnosis and timely intervention.However,existing Deep Learning(DL)approaches often face several limitations,including inefficient feature extraction,class imbalance,suboptimal classification performance,and limited interpretability,which collectively hinder their deployment in clinical settings.To address these challenges,we propose a novel DL framework for heart disease prediction that integrates a comprehensive preprocessing pipeline with an advanced classification architecture.The preprocessing stage involves label encoding and feature scaling.To address the issue of class imbalance inherent in the personal key indicators of the heart disease dataset,the localized random affine shadowsampling technique is employed,which enhances minority class representation while minimizing overfitting.At the core of the framework lies the Deep Residual Network(DeepResNet),which employs hierarchical residual transformations to facilitate efficient feature extraction and capture complex,non-linear relationships in the data.Experimental results demonstrate that the proposed model significantly outperforms existing techniques,achieving improvements of 3.26%in accuracy,3.16%in area under the receiver operating characteristics,1.09%in recall,and 1.07%in F1-score.Furthermore,robustness is validated using 10-fold crossvalidation,confirming the model’s generalizability across diverse data distributions.Moreover,model interpretability is ensured through the integration of Shapley additive explanations and local interpretable model-agnostic explanations,offering valuable insights into the contribution of individual features to model predictions.Overall,the proposed DL framework presents a robust,interpretable,and clinically applicable solution for heart disease prediction.
基金supported by the National Natural Science Foundation of China,Nos.82171347,82371362the Natural Science Foundation of Hunan Province,No.2022JJ30971the Scientific Research Project of Hunan Provincial Health Commission of China,No.202204040024(all to GX).
文摘A large body of evidence has highlighted the role of non-coding RNAs in neurodevelopment and neuroinflammation.This evidence has led to increasing speculation that non-coding RNAs may be involved in the pathophysiological mechanisms underlying hydrocephalus,one of the most common neurological conditions worldwide.In this review,we first outline the basic concepts and incidence of hydrocephalus along with the limitations of existing treatments for this condition.Then,we outline the definition,classification,and biological role of non-coding RNAs.Subsequently,we analyze the roles of non-coding RNAs in the formation of hydrocephalus in detail.Specifically,we have focused on the potential significance of non-coding RNAs in the pathophysiology of hydrocephalus,including glymphatic pathways,neuroinflammatory processes,and neurological dysplasia,on the basis of the existing evidence.Lastly,we review the potential of non-coding RNAs as biomarkers of hydrocephalus and for the creation of innovative treatments.
文摘INTRODUCTION This paper is a case study of the progress on environmental and development fronts in this critical area of Cambridge,Massachusetts.Portions of the riverine system to the north(Little River and Alewife Reservation)have been restored and include public amenities,and the park to the east(Danehy Park)has been realized.The degraded industrial land uses that had comprised the bulk of the land use have made a transition to a dynamic,mixed-used neighborhood.
基金supported by a Presidential Postdoctoral Fellowship (021229-00001) from Nanyang Technological University,Singapore (to JZ)a Lee Kong Chian School of Medicine Dean’s Postdoctoral Fellowship (021207-00001) from NTU Singaporea Mistletoe Research Fellowship (022522-00001) from the Momental Foundaton,USA (to CHL)
文摘The interaction between metabolic dysfunction and inflammation is central to the development of neurodegenerative diseases such as Alzheimer’s disease and Parkinson’s disease.Obesity-related conditions like type 2 diabetes and non-alcoholic fatty liver disease exacerbate this relationship.Peripheral lipid accumulation,particularly in the liver,initiates a cascade of inflammatory processes that extend to the brain,influencing critical metabolic regulatory regions.Ceramide and palmitate,key lipid components,along with lipid transporters lipocalin-2 and apolipoprotein E,contribute to neuroinflammation by disrupting blood–brain barrier integrity and promoting gliosis.Peripheral insulin resistance further exacerbates brain insulin resistance and neuroinflammation.Preclinical interventions targeting peripheral lipid metabolism and insulin signaling pathways have shown promise in reducing neuroinflammation in animal models.However,translating these findings to clinical practice requires further investigation into human subjects.In conclusion,metabolic dysfunction,peripheral inflammation,and insulin resistance are integral to neuroinflammation and neurodegeneration.Understanding these complex mechanisms holds potential for identifying novel therapeutic targets and improving outcomes for neurodegenerative diseases.
文摘Peripheral immunity forms the foundation of tumor immunity,while tumor immunity represents a more refined adaptation of peripheral immune responses.The tumor microenvironment(TME),a localized niche surrounding tumor cells,is inherently immunosuppressive(1,2).Effective tumor therapy necessitates the dismantling of this microenvironment,aiming to eradicate tumors from the host system.
基金supported by grants from the National Natural Science Foundation of China(Grant Nos.81672638 and W2421095)National Natural Science Foundation of Shandong Province(Grant No.ZR2024LMB011)Collaborative Academic Innovation Project of Shandong Cancer Hospital(Grant No.GF003)。
文摘The principal breast cancer treatment approach has long been surgical removal of the primary breast lesions and regional lymph nodes,particularly the axillary lymph nodes.However,the advent of minimally invasive diagnostic techniques,such as sentinel lymph node biopsy(SLNB),has markedly diminished the extent of surgery required for regional lymph nodes.
基金supported by the National Key Research and Development Program of China(No.2024YFC2815400)the European Commission(Nos.HORIZON MSCA-2024-PF-01 and 101200637)+2 种基金the Opening Fund of the State Key Laboratory of Water Resources Engineering and Management at Wuhan University(No.2024SGG07)the Shandong Provincial Natural Science Foundation(No.ZR2025MS647)the Sand Hazards and Opportunities for Resilience,Energy,and Sustainability(SHORES)Center,funded by Tamkeen under the NYUAD Research Institute Award CG013.
文摘Retrogressive landslides in sensitive clays pose significant risks to nearby infrastructure,as natural toe erosion or localized disturbances can trigger progressive block failures.While prior studies have largely relied on two-dimensional(2D)large-deformation analyses,such models overlook key three-dimensional(3D)failure mechanisms and variability effects.This study develops a 3D probabilistic framework by integrating the Coupled Eulerian–Lagrangian(CEL)method with random field theory to simulate retrogressive landslides in spatially variable clay.Using Monte Carlo simulations,we compare 2D and 3D random large-deformation models to evaluate failure modes,runout distances,sliding velocities,and influence zones.The 3D analyses captured more complex failure modes—such as lateral retrogression and asynchronous block mobilization across slope width.Additionally,the 3D analyses predict longer mean runout distances(13.76 vs.11.92 m),wider mean influence distance(11.35 vs.8.73 m),and higher mean sliding velocities(4.66 vs.3.94 m/s)than their 2D counterparts.Moreover,3D models exhibit lower coefficients of variation(e.g.,0.10 for runout distance)due to spatial averaging across slope width.Probabilistic hazard assessment shows that 2D models significantly underpredict near-field failure probabilities(e.g.,48.8%vs.89.9%at 12 m from the slope toe).These findings highlight the limitations of 2D analyses and the importance of multi-directional spatial variability for robust geohazard assessments.The proposed 3D framework enables more realistic prediction of landslide mobility and supports the design of safer,risk-informed infrastructure.
文摘[Objective]Surface water flooding is caused by heavy rainfall,which has been the main type of flooding in many cities across the world.Real urban environments are highly complex,and there are numerous parameters influencing the rainfall-runoff processes,such as road width,orientation and building coverage.The main objective is to perform a parametric study concerning the rainfall-runoff processes in complex urban environments,in order to gain a better understanding of the impact of urban characteristics on the surface runoff.[Methods]Realistic urban layouts are generated by means of procedural modelling software,which parameterises the urban configurations using 11 independent variables,including the averaged street length,street orientation,street curvature,major street width,minor street width,park coverage,etc.A shock-capturing TVD MacCormack shallow water equations solver is used to undertake a large number of computational simulations regarding the rainfall-runoff processes over realistic urban layouts.The dominating urban parameters that influence the time of concentration is unveiled,which characterises the timescale of the flood formation.[Results]In order to generalise the research outcomes,the obtained hydrographs at the outlet of the catchment are normalised so that they are independent of the catchment area,slope or rainfall intensity.The dimensionless time of concentration is thus only the functions of 12 independent parameters,including 11 parameters that governing the urban layouts and the Manning roughness coefficient of the ground.A sensitivity analysis,based on the multiple linear regression method,is performed on the 2,994 simulation cases to quantify the influence of each parameter.[Conclusion]The results show that the ground roughness and the building coverage ratio are the two most important factors that influence the urban flood formation.Their influences on the dimensionless timescale of the urban catchments’response to rainfall are quantified by empirical formulae.The research findings can provide useful guidelines for the design of future flood-resilient urban environments and the improvement of existing drainage systems in cities.
文摘Correction to:Nano-Micro Letters(2025)17:135 https://doi.org/10.1007/s40820-024-01634-8 Following publication of the original article[1],the authors reported that the corresponding author would like to update the email address from xingcai@stanford.edu to drtea1@wteao.com.Also,the corresponding author’s affiliation can be expanded.
基金supported by the National Natural Science Foundation of China(Grant Nos.:32271292,31872723,32200778,and 22377089)the Jiangsu Students Innovation and Entrepre-neurship Training Program,China(Program No.:202210285081Z)+6 种基金the Project of MOE Key Laboratory of Geriatric Diseases and Immunology,China(Project No.:JYN202404)Proj-ect Funded by the Priority Academic Program Development(PAPD)of Jiangsu Higher Education Institutions,Natural Science Foundation of Jiangsu Province,China(Project No.:BK20220494)Suzhou Medical and Health Technology Innovation Project,China(Grant No.:SKY2022107)the Clinical Research Center of Neuro-logical Disease in The Second Affiliated Hospital of Soochow University,China(Grant No.:ND2022A04)State Key Laboratory of Drug Research(Grant No.:SKLDR-2023-KF-05)Jiangsu Shuang-chuang Program for Doctor,Young Science Talents Promotion Project of Jiangsu Science and Technology Association(Program No.:TJ-2023-019)Young Science Talents Promotion Project of Suzhou Science and Technology Association,Suzhou International Joint Laboratory for Diagnosis and Treatment of Brain Diseases,and startup funding(Grant Nos.:NH21500221,NH21500122,and NH21500123)to Qifei Cong.
文摘Combined with elastic network model(ENM),the perturbation response scanning(PRS)has emerged as a robust technique for pinpointing allosteric interactions within proteins.Here,we proposed the PRS analysis of drug-target networks(DTNs),which could provide a promising avenue in network medicine.We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework,for drug repurposing of multiple sclerosis(MS).First,the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes.Then,based on topological analysis and functional annotation,the neurotransmission module was identified as the“therapeutic module”of MS.Further,perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis,giving a list of repurposable drugs for MS.Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of se-rotonin 2B receptor(HTR2B).Finally,we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex.These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS.As a useful systematic method,our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.
基金“Cyborg Narratives and the Construction of 21^(st)Century Science Fiction Poetics”(22BZW175)sponsored by the National Social Science Fund of China。
文摘Joanna Page is Director of CRASSH and Professor of Latin American Studies at the University of Cambridge.Her research interests are generally connected to the relationship between science and culture in Latin America.She has also worked on questions of memory,modernity,capitalism,posthumanism,new materialism,decoloniality,ecology,and environmental thought.This interview covers three main aspects:the characteristics of science fiction texts in Latin America,the interdisciplinary research models at the intersection of science,literature,and art,and Latin America as a field of regional studies.Professor Page starts with Argentine science fiction novels and expands the discussion to include graphic novels in Latin America,outlining the panorama of science fiction and its indigenous features.The conversation delves into the literary and technological relationships within Latin American science fiction texts.Building upon this foundation,this interview explores the interdisciplinary research paradigms concerning the relationship between science and culture,aiming to contribute to regional studies by exploring new pathways for interdisciplinary,cross-regional,and trans-media research.
文摘The increasing use of robotic surgery has seen a wave of technology ripple through global healthcare.Similar changes occurred in aviation several decades ago.New robot types have increased access for both patients and surgeons.The modern robotic curriculum therefore needs to train surgeons of varying experience,gaining access to several robot types,and based in centres around the world.Drawing on this analogy with aviation helps to derive principles for curriculum design,and considers humanemachine interface,non-technical skills,team training,and simulation.The components of the curriculum could be core(cross-platform),platform-specific,specialty-specific,and platform-transitional.Analogous concepts also emerge,including type rating,control as surgery-by-wire,spatio-haptic envelope,and virtual operations.The fourth industrial revolution sets anticipation for progress.
文摘As robotic surgery provides clinical benefits and increases on a global scale,it also signifies the transition from direct manual control of surgical instruments to digital connectivity and teleoperation.The digital coupling between human control inputs and surgical motion replaces the previous physical link.Robotic surgery is therefore in effect‘surgery-by-wire’,the term capturing the engineering phenomenon that has also occurred in the‘fly-by-wire’of aviation and‘drive-by-wire’of cars.This paper reviews the fundamental commonality across domains.Intrinsic to‘by-wire’control is digital processing,which generates the control signal to the effector.This processing enables a progressive spectrum of motion modulation,from precision and stability of motion,through assistance and envelope protection,to automation.Precision now manifests in all three domains.In modern aircraft and cars,higher-order assistance is commonplace,such as flight envelope protection,with analogous support in driving,as well as significant automation.In robotic surgery,such assistance and automation have not yet entered wider clinical practice,with concepts such as envelope protection requiring further definition.The digital interface combined with telecommunication has also enabled teleoperation in all domains.Therefore,motion‘by-wire’has enhanced performance across industries.A cross-domain perspective will be increasingly useful to facilitate technology transfer and catalyse progress in robotic surgery.As the pan-industry digital transformation evolves,important principles can be derived for application in robotic surgery.
文摘Current treatment options for hepatitis D are limited,with pegylated interferonalpha(PEG-IFNα)being the only therapy available in the Asia-Pacific region.However,PEG-IFNαhas limited efficacy and significant side effects.Pegylated interferon lambda acts on interferon-lambda(Type III)receptors predominantly expressed in hepatocytes.In 2023,bulevirtide was approved in the European Union and Russia for treating chronic hepatitis D.This drug works by binding to and inhibiting the sodium taurocholate co-transporting polypeptide receptor on liver cells,which is the primary entry point for the virus.Recently,several new drugs have entered various stages of development,offering hope for improved hepatitis D virus(HDV)management.Two more viral entry inhibitors are HH003 and tobevibart.Other agents include nucleic acid polymers(REP 2139-Mg),prenylation inhibitors(lonafarnib),and RNA interference-based therapies(elebsiran).Emerging trials are now considering combination therapies,such as SOLSTICE,a Phase 2 clinical trial evaluating tobevibart alone or combined with elebsiran.The combination dosed monthly achieved>50%virologic and biochemical response at 24 weeks of therapy.The efficacy and safety of these drugs will further be evaluated in ECLIPSE 1,2,and 3 trials.With these new treatments on the horizon,the prospects for improved HDV patient outcomes are promising.
