Microglia,the resident immune cells of the central nervous system,exhibit a wide array of functional states,even in their so-called“homeostatic”condition,when they are not actively responding to overt pathological s...Microglia,the resident immune cells of the central nervous system,exhibit a wide array of functional states,even in their so-called“homeostatic”condition,when they are not actively responding to overt pathological stimuli.These functional states can be visualized using a combination of multi-omics techniques(e.g.,gene and protein expression,posttranslational modifications,mRNA profiling,and metabolomics),and,in the case of homeostatic microglia,are largely defined by the global(e.g.,genetic variations,organism’s age,sex,circadian rhythms,and gut microbiota)as well as local(specific area of the brain,immediate microglial surrounding,neuron-glia interactions and synaptic density/activity)signals(Paolicelli et al.,2022).While phenomics(i.e.,ultrastructural microglial morphology and motility)is also one of the key microglial state-defining parameters,it is known that cells with similar morphology can belong to different functional states.展开更多
Understanding the complex plasma dynamics in ultra-intense relativistic laser-solid interactions is of fundamental importance for applications of laser-plasma-based particle accelerators,the creation of high-energy-de...Understanding the complex plasma dynamics in ultra-intense relativistic laser-solid interactions is of fundamental importance for applications of laser-plasma-based particle accelerators,the creation of high-energy-density matter,understanding planetary science,and laser-driven fusion energy.However,experimental efforts in this regime have been limited by the lack of accessibility of over-critical densities and the poor spatiotemporal resolution of conventional diagnostics.Over the last decade,the advent of femtosecond brilliant hard X-ray free-electron lasers(XFELs)has opened new horizons to overcome these limitations.Here,for the first time,we present full-scale spatiotemporal measurements of solid-density plasma dynamics,including preplasma generation with tens of nanometer scale length driven by the leading edge of a relativistic laser pulse,ultrafast heating and ionization at the main pulse arrival,the laser-driven blast wave,and transient surface return current-induced compression dynamics up to hundreds of picoseconds after interaction.These observations are enabled by utilizing a novel combination of advanced X-ray diagnostics including small-angle X-ray scattering,resonant X-ray emission spectroscopy,and propagation-based X-ray phase-contrast imaging simultaneously at the European XFEL-HED beamline station.展开更多
The rapid growth of IoT networks necessitates efficient Intrusion Detection Systems(IDS)capable of addressing dynamic security threats under constrained resource environments.This paper proposes a hybrid IDS for IoT n...The rapid growth of IoT networks necessitates efficient Intrusion Detection Systems(IDS)capable of addressing dynamic security threats under constrained resource environments.This paper proposes a hybrid IDS for IoT networks,integrating Support Vector Machine(SVM)and Genetic Algorithm(GA)for feature selection and parameter optimization.The GA reduces the feature set from 41 to 7,achieving a 30%reduction in overhead while maintaining an attack detection rate of 98.79%.Evaluated on the NSL-KDD dataset,the system demonstrates an accuracy of 97.36%,a recall of 98.42%,and an F1-score of 96.67%,with a low false positive rate of 1.5%.Additionally,it effectively detects critical User-to-Root(U2R)attacks at a rate of 96.2%and Remote-to-Local(R2L)attacks at 95.8%.Performance tests validate the system’s scalability for networks with up to 2000 nodes,with detection latencies of 120 ms at 65%CPU utilization in small-scale deployments and 250 ms at 85%CPU utilization in large-scale scenarios.Parameter sensitivity analysis enhances model robustness,while false positive examination aids in reducing administrative overhead for practical deployment.This IDS offers an effective,scalable,and resource-efficient solution for real-world IoT system security,outperforming traditional approaches.展开更多
The malicious dissemination of hate speech via compromised accounts,automated bot networks and malware-driven social media campaigns has become a growing cybersecurity concern.Automatically detecting such content in S...The malicious dissemination of hate speech via compromised accounts,automated bot networks and malware-driven social media campaigns has become a growing cybersecurity concern.Automatically detecting such content in Spanish is challenging due to linguistic complexity and the scarcity of annotated resources.In this paper,we compare two predominant AI-based approaches for the forensic detection of malicious hate speech:(1)finetuning encoder-only models that have been trained in Spanish and(2)In-Context Learning techniques(Zero-and Few-Shot Learning)with large-scale language models.Our approach goes beyond binary classification,proposing a comprehensive,multidimensional evaluation that labels each text by:(1)type of speech,(2)recipient,(3)level of intensity(ordinal)and(4)targeted group(multi-label).Performance is evaluated using an annotated Spanish corpus,standard metrics such as precision,recall and F1-score and stability-oriented metrics to evaluate the stability of the transition from zero-shot to few-shot prompting(Zero-to-Few Shot Retention and Zero-to-Few Shot Gain)are applied.The results indicate that fine-tuned encoder-only models(notably MarIA and BETO variants)consistently deliver the strongest and most reliable performance:in our experiments their macro F1-scores lie roughly in the range of approximately 46%–66%depending on the task.Zero-shot approaches are much less stable and typically yield substantially lower performance(observed F1-scores range approximately 0%–39%),often producing invalid outputs in practice.Few-shot prompting(e.g.,Qwen 38B,Mistral 7B)generally improves stability and recall relative to pure zero-shot,bringing F1-scores into a moderate range of approximately 20%–51%but still falling short of fully fine-tuned models.These findings highlight the importance of supervised adaptation and discuss the potential of both paradigms as components in AI-powered cybersecurity and malware forensics systems designed to identify and mitigate coordinated online hate campaigns.展开更多
Vascular cognitive impairment and dementia is a debilitating neurological disorder caused by chronic cerebral hypoperfusion,for which no effective causative treatments are currently available.Intermittent hypoxia has ...Vascular cognitive impairment and dementia is a debilitating neurological disorder caused by chronic cerebral hypoperfusion,for which no effective causative treatments are currently available.Intermittent hypoxia has been shown to enhance cerebral blood flow in mice,but its efficacy in a model of vascular cognitive impairment and dementia remains unclear.In this study,we established a mouse model of vascular cognitive impairment and dementia by bilateral carotid artery stenosis.Intermittent hypoxia was induced before and after this stenosis.We found that intermittent hypoxia increased cerebral blood flow,oxygen saturation,and microcirculation in the prefrontal cortex and hippocampus in the model mice,without causing neurovascular damage.Additionally,intermittent hypoxia significantly improved cognitive function in the mouse model of vascular cognitive impairment and dementia,with perconditioning showing greater efficacy than preconditioning.Improvements in cerebral microcirculation and blood flow were positively correlated with cognitive recovery.Even in a mouse model of vascular cognitive impairment and dementia with comorbidities induced by a high-fat,high-fructose diet,intermittent hypoxic perconditioning demonstrated protective effects on cognitive function.Proteomic analysis indicated that mitochondrial protection is a key mechanism,particularly through upregulating NDUFB8 expression and increasing the activity of mitochondrial complex I.These findings suggest that intermittent hypoxia is a potential non-invasive strategy for the prevention and treatment of vascular cognitive impairment and dementia.展开更多
Oligodendrocytes and their cell-intrinsic gene regulatory network:Oligodendrocytes(OLs)are the myelinating glial cells of the vertebrate central nervous system.They are responsible for insulating neuronal axons with a...Oligodendrocytes and their cell-intrinsic gene regulatory network:Oligodendrocytes(OLs)are the myelinating glial cells of the vertebrate central nervous system.They are responsible for insulating neuronal axons with a lipid-rich myelin sheath,which enables the saltatory conduction of action potentials.During development,oligodendrocyte progenitor cells(OPCs)emerge from neural stem cells in the ventricular zone.They then proliferate,increase their number,and migrate to their final destination where they encounter unmyelinated neuronal axons and differentiate in a stepwise fashion into myelinating oligodendrocytes(mOLs)under the influence of environmental stimuli.展开更多
Neurodegenerative diseases are characterized by a decline in brain structure and function.Their pathology involves multiple cell death pathways,including ferroptosis,cuproptosis,and pyroptosis.These pathways are intri...Neurodegenerative diseases are characterized by a decline in brain structure and function.Their pathology involves multiple cell death pathways,including ferroptosis,cuproptosis,and pyroptosis.These pathways are intricately linked to genes associated with metabolism,antioxidant defense,lipid metabolism,chronic inflammation,and nerve regeneration processes.Key regulators of atypical cell death pathways show aberrant N^(6)-methyladenosine modification levels under pathological conditions.As the most abundant and dynamic RNA modification in brain tissue,N^(6)-methyladenosine plays crucial functional roles.Notably,there exists an intricate interplay between N^(6)-methyladenosine modifications and these cell death pathways,both of which are robustly associated with the pathogenesis of neurodegenerative diseases.However,the molecular mechanisms underlying this association remain unclear.This paper reviews the correlation between N^(6)-methyladenosine and various cell death patterns in neurodegenerative diseases,with emphasis on the molecular mechanisms underlying the interaction between N^(6)-methyladenosine epigenetic regulation and ferroptosis,cuproptosis,and pyroptosis in cognitive impairment.N^(6)-methyladenosine-modified ferroptosis plays an important role in neurodegenerative diseases.There is also a close association between N^(6)-methyladenosine modification and key molecules related to cuproptosis,which may promote the deposition of copper in the brain.Chronic inflammation,a hallmark of neurodegenerative diseases,is related to pyroptosis and N^(6)-methyladenosine modification.It is widely thought that ferroptosis,cuproptosis,and pyroptosis are interconnected processes that may share a common pathway affecting the pathogenesis of neurodegenerative diseases,and are related to key molecules involved in N^(6)-methyladenosine epigenetic modification.This suggests a great potential for future neurodegenerative diseases treatment strategies regulated by N^(6)-methyladenosine modification.N^(6)-methyladenosine modification plays a dual role in nerve injury and regeneration by dynamically regulating processes such as ferroptosis,cuproptosis,and pyroptosis and their key molecules.It maintains the“death-regeneration”balance in oxidative stress and inflammation while selectively promoting axon regeneration through the modulation of methylases.This mechanism indicates a considerable therapeutic target for neurological disorders.展开更多
Dear Editor,This letter presents a new approach to developing interpretable and reliable soft sensors for Industry 5.0 applications.Although sophisticated machine learning methods have made remarkable strides in soft-...Dear Editor,This letter presents a new approach to developing interpretable and reliable soft sensors for Industry 5.0 applications.Although sophisticated machine learning methods have made remarkable strides in soft-sensor predictive accuracy,ensuring interpretability and reliable performance across varying industrial operating conditions remains a challenge[1]–[4].This is precisely what Industry 5.0,proposed by the European Commission in 2021,advocates[5],[6].It integrates various cutting-edge technologies,such as human-machine interaction,digital twins,cybersecurity and artificial intelligence,to facilitate the development of better soft sensors.展开更多
Understanding the properties of warm dense hydrogen is of key importance for the modeling of compact astrophysical objects and to understand and further optimize inertial confinement fusion applications.The workhorse ...Understanding the properties of warm dense hydrogen is of key importance for the modeling of compact astrophysical objects and to understand and further optimize inertial confinement fusion applications.The workhorse of warm dense matter theory is thermal density functional theory(DFT),which,however,suffers from two limitations:(i)its accuracy can depend on the utilized exchange-correlation functional,which has to be approximated,and(ii)it is generally limited to single-electron properties such as the density distribution.Here,we present a new ansatz combining time-dependent DFT results for the dynamic structure factor S_(ee)(q,ω)with static DFT results for the density response.This allows us to estimate the electron-electron static structure factor S_(ee)(q)of warm dense hydrogen with high accuracy over a broad range of densities and temperatures.In addition to its value for the study of warm dense matter,our work opens up new avenues for the future study of electronic correlations exclusively within the framework of DFT for a host of applications.展开更多
AIM:To investigate the effect of pentagonal conjunctival autograft on reducing graft retraction following pterygium surgery.METHODS:This retrospective comparative study included patients who underwent primary pterygiu...AIM:To investigate the effect of pentagonal conjunctival autograft on reducing graft retraction following pterygium surgery.METHODS:This retrospective comparative study included patients who underwent primary pterygium excision with either pentagonal(created by shaping the junction with the recipient conjunctiva into a wedge)or quadrangular conjunctival autograft transplantation.All patients completed a 6mo postoperative follow-up.The primary outcome measure was the incidence of graft retraction;secondary outcomes included graft displacement requiring re-suturing and pterygium recurrence rate.RESULTS:The study enrolled 58 participants,comprising 26(15 males,11 females)in the pentagonal graft group(mean age:54.9±13.1y),and 32(17 males,15 females)in the quadrangular graft group(mean age:57.6±10.4y).Graft retraction occurred in only 1 eye(3.8%)in the pentagonal autograft group,compared to 9 eyes(28.1%)in the quadrangular autograft group.No cases of graft displacement requiring re-suturing were reported in the pentagonal autograft group.Although graft displacement and recurrence requiring re-suturing were observed less frequently in surgeries with a pentagonal graft,the difference was not statistically significant(P>0.05).CONCLUSION:Designing the conjunctival autograft in a pentagonal shape—mimicking geodesic dome architecture and conforming to the eye’s spherical structure—enhances compatibility with the recipient conjunctiva and improves resistance to physical traction forces.This design effectively reduces the incidence of graft retraction and other related complications,providing a more favorable surgical option for pterygium treatment.展开更多
Salient object detection(SOD)models struggle to simultaneously preserve global structure,maintain sharp object boundaries,and sustain computational efficiency in complex scenes.In this study,we propose SPSALNet,a task...Salient object detection(SOD)models struggle to simultaneously preserve global structure,maintain sharp object boundaries,and sustain computational efficiency in complex scenes.In this study,we propose SPSALNet,a task-driven two-stage(macro–micro)architecture that restructures the SOD process around superpixel representations.In the proposed approach,a“split-and-enhance”principle,introduced to our knowledge for the first time in the SOD literature,hierarchically classifies superpixels and then applies targeted refinement only to ambiguous or error-prone regions.At the macro stage,the image is partitioned into content-adaptive superpixel regions,and each superpixel is represented by a high-dimensional region-level feature vector.These representations define a regional decomposition problem in which superpixels are assigned to three classes:background,object interior,and transition regions.Superpixel tokens interact with a global feature vector from a deep network backbone through a cross-attention module and are projected into an enriched embedding space that jointly encodes local topology and global context.At the micro stage,the model employs a U-Net-based refinement process that allocates computational resources only to ambiguous transition regions.The image and distance–similarity maps derived from superpixels are processed through a dual-encoder pathway.Subsequently,channel-aware fusion blocks adaptively combine information from these two sources,producing sharper and more stable object boundaries.Experimental results show that SPSALNet achieves high accuracy with lower computational cost compared to recent competing methods.On the PASCAL-S and DUT-OMRON datasets,SPSALNet exhibits a clear performance advantage across all key metrics,and it ranks first on accuracy-oriented measures on HKU-IS.On the challenging DUT-OMRON benchmark,SPSALNet reaches a MAE of 0.034.Across all datasets,it preserves object boundaries and regional structure in a stable and competitive manner.展开更多
Stem cells are pluripotent cells that can divide and differentiate,forming many different types of cells.Stem cells can be obtained from various sources,with embryonic stem cells being the most advantageous as they po...Stem cells are pluripotent cells that can divide and differentiate,forming many different types of cells.Stem cells can be obtained from various sources,with embryonic stem cells being the most advantageous as they possess a broad dividing potential.When the standard treatment proves ineffective,stem cells are typically utilized as a final option.Infections and childhood malignancies are among the significant causes of mortality in the pediatric population.Stem cell therapy has shown a decrease in morbidity and mortality when used in patients with favorable conditions like young age and lack of comorbidities.This review discusses how stem cells are prepared and used in treating pediatric diseases like X-linked agammaglobulinemia,diabetes mellitus,aplastic anemia,infections,and leukemia.Technological advancement has played a significant role in producing more specific stem cells using genetic modification methods like clustered regularly interspaced short palindromic repeats/CRISPR-associated protein 9,which produce stem cells that target a particular cell type,e.g.,myocytes and hematopoietic cells,further increasing the effectiveness of the therapy.We address the obstacles faced when conducting research related to stem cells,including ethical and legal issues,which hinder the use of this therapy in some fields.We also indicate recommendations for increasing the efficacy of stem cell therapy in the pediatric population.展开更多
Inspections of power transmission lines(PTLs)conducted using unmanned aerial vehicles(UAVs)are complicated by the fine structure of the lines and complex backgrounds,making accurate and efficient segmentation challeng...Inspections of power transmission lines(PTLs)conducted using unmanned aerial vehicles(UAVs)are complicated by the fine structure of the lines and complex backgrounds,making accurate and efficient segmentation challenging.This study presents the Wavelet-Guided Transformer U-Net(WGT-UNet)model,a new hybrid net-work that combines Convolutional Neural Networks(CNNs),Discrete Wavelet Transform(DWT),and Transformer architectures.The model’s primary contribution is based on spatial and channel attention mechanisms derived from wavelet subbands to guide the Transformer’s self-attention structure.Thus,low and high frequency components are separated at each stage using DWT,suppressing structural noise and making linear objects more prominent.The developed design is supported by multi-component hybrid cost functions that simultaneously solve class imbalance,edge sharpness,structural integrity,and spatial regularity issues.Furthermore,high segmentation success has been achieved in producing sharp boundaries and continuous line structures with the DWT-guided attention mechanism.Experiments conducted on the TTPLA dataset reveal that the version using the ConvNeXt backbone outperforms the current state-of-the-art approaches with an F1-Score of 79.33%and an Intersection over Union(IoU)value of 68.38%.The models and visual outputs of the developed method and all compared models can be accessed at https://github.com/burhanbarakli/WGT-UNET.展开更多
A recently published prospective study marks a breakthrough for congenital olfactory disorders in children.The study provides the first long-term,three-year follow-up data,robustly demonstrating the durable efficacy a...A recently published prospective study marks a breakthrough for congenital olfactory disorders in children.The study provides the first long-term,three-year follow-up data,robustly demonstrating the durable efficacy and safety of autologous nasal epithelial stem cell transplantation.This work reveals immense therapeutic potential for a condition traditionally considered untreatable.However,this milestone achievement also presents new challenges.To translate this pioneering therapy from a single-center success to a global standard,multicenter,controlled clinical trials must be initiated immediately.Only through rigorous validation can we ensure its widespread adoption and ultimately bring hope to millions of children worldwide.展开更多
The rise in urbanization has increasingly restricted access to natural environments,posing substantial risks to the physical and mental health of urban populations,including university students and other high-stress g...The rise in urbanization has increasingly restricted access to natural environments,posing substantial risks to the physical and mental health of urban populations,including university students and other high-stress groups.This study examines the comparative effects of outdoor forest meditation(OFM)and indoor nature meditation(INM)in simulated nature environments(SNEs)on the physiological and psychological health of university students.A pretestposttest repeated measures design was employed,with 40students participating in three replicated OFM sessions and three identical INM sessions across varied SNE settings.Key physiological metrics,including heart rate(HR),blood pressure(BP),and salivary amylase concentration(SAC),were measured before and after each session.Psychological well-being was assessed using the Perceived Stress Scale-10(PSS-10)and Profile of Mood States(POMS).Results revealed significant reductions(p<0.05)in most post-intervention outcomes,except in the second indoor session across physiologic al and psychologic al responses,while multi-sensory INM sessions produced comparable benefits.Notably,SNEs with enhanced sensory components were effective,though slightly less impactful than OFM.These findings suggest that both OFM in nature and INM in SNEs can benefit university students'well-being.INM in SNEs offers a promising alternative for those with limited access to natural settings,contributing meaningfully to stress reduction and overall well-being.This study highlights the potential for nature-based strategies for human health in urban centres,advocating for further investigation into the long-term impacts of SNEs and optimal sensory configurations for maximizing therapeutic effects in urban populations.展开更多
Spinal cord injury represents a severe form of central nervous system trauma for which effective treatments remain limited.Microglia is the resident immune cells of the central nervous system,play a critical role in s...Spinal cord injury represents a severe form of central nervous system trauma for which effective treatments remain limited.Microglia is the resident immune cells of the central nervous system,play a critical role in spinal cord injury.Previous studies have shown that microglia can promote neuronal survival by phagocytosing dead cells and debris and by releasing neuroprotective and anti-inflammatory factors.However,excessive activation of microglia can lead to persistent inflammation and contribute to the formation of glial scars,which hinder axonal regeneration.Despite this,the precise role and mechanisms of microglia during the acute phase of spinal cord injury remain controversial and poorly understood.To elucidate the role of microglia in spinal cord injury,we employed the colony-stimulating factor 1 receptor inhibitor PLX5622 to deplete microglia.We observed that sustained depletion of microglia resulted in an expansion of the lesion area,downregulation of brain-derived neurotrophic factor,and impaired functional recovery after spinal cord injury.Next,we generated a transgenic mouse line with conditional overexpression of brain-derived neurotrophic factor specifically in microglia.We found that brain-derived neurotrophic factor overexpression in microglia increased angiogenesis and blood flow following spinal cord injury and facilitated the recovery of hindlimb motor function.Additionally,brain-derived neurotrophic factor overexpression in microglia reduced inflammation and neuronal apoptosis during the acute phase of spinal cord injury.Furthermore,through using specific transgenic mouse lines,TMEM119,and the colony-stimulating factor 1 receptor inhibitor PLX73086,we demonstrated that the neuroprotective effects were predominantly due to brain-derived neurotrophic factor overexpression in microglia rather than macrophages.In conclusion,our findings suggest the critical role of microglia in the formation of protective glial scars.Depleting microglia is detrimental to recovery of spinal cord injury,whereas targeting brain-derived neurotrophic factor overexpression in microglia represents a promising and novel therapeutic strategy to enhance motor function recovery in patients with spinal cord injury.展开更多
Hybrid MMC(Hy-MMC)has broad application prospects because of the negative level output ability in its bridge arm.A Hy-MMC topology with a high-modulation ratio is designed in this paper.A second-harmonic current injec...Hybrid MMC(Hy-MMC)has broad application prospects because of the negative level output ability in its bridge arm.A Hy-MMC topology with a high-modulation ratio is designed in this paper.A second-harmonic current injection(SHCI)strategy based on Hy-MMC in high-modulation operation is also proposed to improve the power density of Hy-MMC effectively in steady-state operation.The amplitude of SHCI is determined from the perspective of the root mean square(RMS)value of bridge arm current,and the optimal initial phase angle is determined from the multi-objective optimization(capacitor voltage ripple of sub-modules(SMs),power loss,and peak value of bridge arm current).The effectiveness and engineering practicability of the proposed SHCI strategy based on Hy-MMC in high-modulation operation is verified by the electromagnetic transient(EMT)simulation using PSCAD/EMTDC®.The simulation results show that the capacitor voltage ripple of SMs can be effectively decreased by 61.98%or the capacitance can be decreased by 40%.The power loss is also analyzed.In addition,little influence of low capacitance on multi-operation conditions of Hy-MMC is verified by EMT simulation.展开更多
In the Jimusaer Sag of the Junggar Basin,crude oils from the upper and lower sweet-spot intervals of the Permian Lucaogou Formation display a pronounced“light-heavy reversal”in oil properties that indicates a fundam...In the Jimusaer Sag of the Junggar Basin,crude oils from the upper and lower sweet-spot intervals of the Permian Lucaogou Formation display a pronounced“light-heavy reversal”in oil properties that indicates a fundamental mismatch between oil composition and host rock maturity.To resolve this anomaly,this study integrates geological,geochemical,and petrophysical datasets and systematically evaluates the combined roles of thermal evolution,organofacies,wettability,abnormal overpressure,and migration-related fractionation on shale oil composition.On this basis,a“staged charging-cumulative charging”model is proposed to explain compositional heterogeneity in lacustrine shale oils.The results demonstrate that crude-oil compositions are jointly controlled by the extent of biomarker depletion,the temporal evolution of hydrocarbon charging,and the openness of the source-reservoir system,rather than by thermal maturity or organofacies alone.The upper sweet-spot interval is interpreted to have functioned as a semi-open system during early stages,in which hydrocarbon generation and expulsion were broadly synchronous,leading to preferential loss of early-generated,biomarker-rich heavy components,whereas progressive shale diagenesis at later stages promoted the retention of highly mature,light hydrocarbons.In contrast,the lower sweet-spot interval represents a relatively closed system,where hydrocarbons generated during multiple stages continuously accumulated and were preserved as mixed charges;overprinting by multi-phase fluids progressively weakened sterane isomerization signals,rendering them unreliable indicators of individual charging events or final thermal maturity.This charging behavior provides a reasonable explanation for anomalously low or distorted biomarker parameters observed in intervals of low or similar maturity.Overall,the proposed charging model reconciles the observed reversal in crude-oil properties and,by shifting the interpretive focus from static maturity assessment to charging dynamics,offers a new theoretical basis for understanding lacustrine shale oil accumulation processes,and guiding sweet-spot selection and exploration-development strategies.展开更多
Droplet impact on solid surfaces plays a critical role in a wide range of applications,including inkjet printing,spray cooling,surface coatings,and microdroplet chemistry.Precise control of droplet–surface interactio...Droplet impact on solid surfaces plays a critical role in a wide range of applications,including inkjet printing,spray cooling,surface coatings,and microdroplet chemistry.Precise control of droplet–surface interactions is essential,but the fundamental mechanisms governing this process are still not fully understood.In this study,we demonstrate that large contact angle hysteresis(CAH)on hydrophobic nanoporous surfaces significantly amplifies post-impact droplet oscillations.This reveals the critical influence of CAH on the redistribution of impact energy and the modulation of droplet–surface interactions.Using shape mode decomposition via Legendre polynomials and fast Fourier transform spectral analysis,we show that surfaces with larger CAH excite and sustain higher-order droplet shape mode oscillations,leading to persistent capillary waves even after contact line pinning.The observed amplitude modulation and multiple frequency components within individual shape modes reveal nonlinear energy transfer between different modes.These amplified and coupled oscillations are shown to promote daughter droplet coalescence.This study presents a framework for understanding the role of CAH in storing and redistributing impact energy through nonlinear mode excitation and establishes CAH as a critical design parameter for controlling fluid dynamics on solid surfaces.展开更多
This study aimed to investigate the effects of infant feces-derived Bifidobacterium breve CCFM1078 on rheumatoid cachexia(RC).Twenty-four female Wistar rats were assigned to 3 groups:CON group(normal saline by gavage)...This study aimed to investigate the effects of infant feces-derived Bifidobacterium breve CCFM1078 on rheumatoid cachexia(RC).Twenty-four female Wistar rats were assigned to 3 groups:CON group(normal saline by gavage),CIA group(collagen-induced arthritis(CIA),normal saline by gavage),and CCFM1078 group(CIA,3×10^(9)CFU/(rat·day)B.breve CCFM1078 gavage).The results demonstrated that B.breve CCFM1078 not only improved skeletal muscle function in CIA rats,but also modulated the gut microbiota,skeletal muscle metabolism and hormone levels,reduced inflammation in the knee joint and skeletal muscles,decreased activity of the nuclear factor κB(NF-κB)inflammatory signaling pathway,enhanced the insulin receptor substrate 1(IRS1)/phosphatidylinositol 3-kinase/protein kinase(PI3K/Akt)signaling pathway,promoted skeletal muscle differentiation,and maintained skeletal muscle fiber diameter,consequently slowing down the progression of RC.These findings suggested that B.breve CCFM1078 may have a beneficial role as part of a dietary intervention for RC,enhancing overall therapeutic effects.展开更多
基金supported by Deutsche Forschungsgemeinschaft,German Research Foundation grant GA 654/13-2 to OG.
文摘Microglia,the resident immune cells of the central nervous system,exhibit a wide array of functional states,even in their so-called“homeostatic”condition,when they are not actively responding to overt pathological stimuli.These functional states can be visualized using a combination of multi-omics techniques(e.g.,gene and protein expression,posttranslational modifications,mRNA profiling,and metabolomics),and,in the case of homeostatic microglia,are largely defined by the global(e.g.,genetic variations,organism’s age,sex,circadian rhythms,and gut microbiota)as well as local(specific area of the brain,immediate microglial surrounding,neuron-glia interactions and synaptic density/activity)signals(Paolicelli et al.,2022).While phenomics(i.e.,ultrastructural microglial morphology and motility)is also one of the key microglial state-defining parameters,it is known that cells with similar morphology can belong to different functional states.
基金funding from Grant No. HIDSS-0002 DASHH (Data Science in Hamburg-Helmholtz Graduate School for the Structure of Matter)partially supported by the Helmholtz Imaging platform through the project “Smart Phase.”
文摘Understanding the complex plasma dynamics in ultra-intense relativistic laser-solid interactions is of fundamental importance for applications of laser-plasma-based particle accelerators,the creation of high-energy-density matter,understanding planetary science,and laser-driven fusion energy.However,experimental efforts in this regime have been limited by the lack of accessibility of over-critical densities and the poor spatiotemporal resolution of conventional diagnostics.Over the last decade,the advent of femtosecond brilliant hard X-ray free-electron lasers(XFELs)has opened new horizons to overcome these limitations.Here,for the first time,we present full-scale spatiotemporal measurements of solid-density plasma dynamics,including preplasma generation with tens of nanometer scale length driven by the leading edge of a relativistic laser pulse,ultrafast heating and ionization at the main pulse arrival,the laser-driven blast wave,and transient surface return current-induced compression dynamics up to hundreds of picoseconds after interaction.These observations are enabled by utilizing a novel combination of advanced X-ray diagnostics including small-angle X-ray scattering,resonant X-ray emission spectroscopy,and propagation-based X-ray phase-contrast imaging simultaneously at the European XFEL-HED beamline station.
文摘The rapid growth of IoT networks necessitates efficient Intrusion Detection Systems(IDS)capable of addressing dynamic security threats under constrained resource environments.This paper proposes a hybrid IDS for IoT networks,integrating Support Vector Machine(SVM)and Genetic Algorithm(GA)for feature selection and parameter optimization.The GA reduces the feature set from 41 to 7,achieving a 30%reduction in overhead while maintaining an attack detection rate of 98.79%.Evaluated on the NSL-KDD dataset,the system demonstrates an accuracy of 97.36%,a recall of 98.42%,and an F1-score of 96.67%,with a low false positive rate of 1.5%.Additionally,it effectively detects critical User-to-Root(U2R)attacks at a rate of 96.2%and Remote-to-Local(R2L)attacks at 95.8%.Performance tests validate the system’s scalability for networks with up to 2000 nodes,with detection latencies of 120 ms at 65%CPU utilization in small-scale deployments and 250 ms at 85%CPU utilization in large-scale scenarios.Parameter sensitivity analysis enhances model robustness,while false positive examination aids in reducing administrative overhead for practical deployment.This IDS offers an effective,scalable,and resource-efficient solution for real-world IoT system security,outperforming traditional approaches.
基金the research project LaTe4PoliticES(PID2022-138099OB-I00)funded by MCIN/AEI/10.13039/501100011033 and the European Fund for Regional Development(ERDF)-a way to make Europe.Tomás Bernal-Beltrán is supported by University of Murcia through the predoctoral programme.
文摘The malicious dissemination of hate speech via compromised accounts,automated bot networks and malware-driven social media campaigns has become a growing cybersecurity concern.Automatically detecting such content in Spanish is challenging due to linguistic complexity and the scarcity of annotated resources.In this paper,we compare two predominant AI-based approaches for the forensic detection of malicious hate speech:(1)finetuning encoder-only models that have been trained in Spanish and(2)In-Context Learning techniques(Zero-and Few-Shot Learning)with large-scale language models.Our approach goes beyond binary classification,proposing a comprehensive,multidimensional evaluation that labels each text by:(1)type of speech,(2)recipient,(3)level of intensity(ordinal)and(4)targeted group(multi-label).Performance is evaluated using an annotated Spanish corpus,standard metrics such as precision,recall and F1-score and stability-oriented metrics to evaluate the stability of the transition from zero-shot to few-shot prompting(Zero-to-Few Shot Retention and Zero-to-Few Shot Gain)are applied.The results indicate that fine-tuned encoder-only models(notably MarIA and BETO variants)consistently deliver the strongest and most reliable performance:in our experiments their macro F1-scores lie roughly in the range of approximately 46%–66%depending on the task.Zero-shot approaches are much less stable and typically yield substantially lower performance(observed F1-scores range approximately 0%–39%),often producing invalid outputs in practice.Few-shot prompting(e.g.,Qwen 38B,Mistral 7B)generally improves stability and recall relative to pure zero-shot,bringing F1-scores into a moderate range of approximately 20%–51%but still falling short of fully fine-tuned models.These findings highlight the importance of supervised adaptation and discuss the potential of both paradigms as components in AI-powered cybersecurity and malware forensics systems designed to identify and mitigate coordinated online hate campaigns.
基金supported by the Beijing Nova Program,Nos.20230484436,Z211100002121038the Chinese Institutes for Medical Research,No.CX23YQ01+1 种基金the NationalNatural Science Foundation of China,Nos.32100925,82027802Beijing-Tianjin-Hebei Basic Research Cooperation Project,No.22JCZXJC00190(all to XJand JL).
文摘Vascular cognitive impairment and dementia is a debilitating neurological disorder caused by chronic cerebral hypoperfusion,for which no effective causative treatments are currently available.Intermittent hypoxia has been shown to enhance cerebral blood flow in mice,but its efficacy in a model of vascular cognitive impairment and dementia remains unclear.In this study,we established a mouse model of vascular cognitive impairment and dementia by bilateral carotid artery stenosis.Intermittent hypoxia was induced before and after this stenosis.We found that intermittent hypoxia increased cerebral blood flow,oxygen saturation,and microcirculation in the prefrontal cortex and hippocampus in the model mice,without causing neurovascular damage.Additionally,intermittent hypoxia significantly improved cognitive function in the mouse model of vascular cognitive impairment and dementia,with perconditioning showing greater efficacy than preconditioning.Improvements in cerebral microcirculation and blood flow were positively correlated with cognitive recovery.Even in a mouse model of vascular cognitive impairment and dementia with comorbidities induced by a high-fat,high-fructose diet,intermittent hypoxic perconditioning demonstrated protective effects on cognitive function.Proteomic analysis indicated that mitochondrial protection is a key mechanism,particularly through upregulating NDUFB8 expression and increasing the activity of mitochondrial complex I.These findings suggest that intermittent hypoxia is a potential non-invasive strategy for the prevention and treatment of vascular cognitive impairment and dementia.
基金supported by grants from the Deutsche Forschungsgemeinschaft(DFG)to MW.
文摘Oligodendrocytes and their cell-intrinsic gene regulatory network:Oligodendrocytes(OLs)are the myelinating glial cells of the vertebrate central nervous system.They are responsible for insulating neuronal axons with a lipid-rich myelin sheath,which enables the saltatory conduction of action potentials.During development,oligodendrocyte progenitor cells(OPCs)emerge from neural stem cells in the ventricular zone.They then proliferate,increase their number,and migrate to their final destination where they encounter unmyelinated neuronal axons and differentiate in a stepwise fashion into myelinating oligodendrocytes(mOLs)under the influence of environmental stimuli.
基金supported by The Youth Talent Support Program of China Association of Chinese Medicine(2024-2026),No.CACM-2024-QNRC2-B36(to QX)The Central High-level Hospital of Traditional Chinese Medicine:Beijing University of Traditional Chinese Medicine Dongzhimen Hospital Talent Training Program-Youth Reserve Talent Project,No.DZMG-QNHB0010(to QX)the Natural Science Foundation of Heilongjiang Province(Outstanding Youth Program),No.YQ2022H003(to DW).
文摘Neurodegenerative diseases are characterized by a decline in brain structure and function.Their pathology involves multiple cell death pathways,including ferroptosis,cuproptosis,and pyroptosis.These pathways are intricately linked to genes associated with metabolism,antioxidant defense,lipid metabolism,chronic inflammation,and nerve regeneration processes.Key regulators of atypical cell death pathways show aberrant N^(6)-methyladenosine modification levels under pathological conditions.As the most abundant and dynamic RNA modification in brain tissue,N^(6)-methyladenosine plays crucial functional roles.Notably,there exists an intricate interplay between N^(6)-methyladenosine modifications and these cell death pathways,both of which are robustly associated with the pathogenesis of neurodegenerative diseases.However,the molecular mechanisms underlying this association remain unclear.This paper reviews the correlation between N^(6)-methyladenosine and various cell death patterns in neurodegenerative diseases,with emphasis on the molecular mechanisms underlying the interaction between N^(6)-methyladenosine epigenetic regulation and ferroptosis,cuproptosis,and pyroptosis in cognitive impairment.N^(6)-methyladenosine-modified ferroptosis plays an important role in neurodegenerative diseases.There is also a close association between N^(6)-methyladenosine modification and key molecules related to cuproptosis,which may promote the deposition of copper in the brain.Chronic inflammation,a hallmark of neurodegenerative diseases,is related to pyroptosis and N^(6)-methyladenosine modification.It is widely thought that ferroptosis,cuproptosis,and pyroptosis are interconnected processes that may share a common pathway affecting the pathogenesis of neurodegenerative diseases,and are related to key molecules involved in N^(6)-methyladenosine epigenetic modification.This suggests a great potential for future neurodegenerative diseases treatment strategies regulated by N^(6)-methyladenosine modification.N^(6)-methyladenosine modification plays a dual role in nerve injury and regeneration by dynamically regulating processes such as ferroptosis,cuproptosis,and pyroptosis and their key molecules.It maintains the“death-regeneration”balance in oxidative stress and inflammation while selectively promoting axon regeneration through the modulation of methylases.This mechanism indicates a considerable therapeutic target for neurological disorders.
文摘Dear Editor,This letter presents a new approach to developing interpretable and reliable soft sensors for Industry 5.0 applications.Although sophisticated machine learning methods have made remarkable strides in soft-sensor predictive accuracy,ensuring interpretability and reliable performance across varying industrial operating conditions remains a challenge[1]–[4].This is precisely what Industry 5.0,proposed by the European Commission in 2021,advocates[5],[6].It integrates various cutting-edge technologies,such as human-machine interaction,digital twins,cybersecurity and artificial intelligence,to facilitate the development of better soft sensors.
基金partially supported by the Center for Advanced Systems Understanding (CASUS), financed by Germany’s Federal Ministry of Education and Research and the Saxon State Government out of the State Budget approved by the Saxon State Parliamentthe European Union’s Just Transition Fund (JTF) within the project Röntgenlaser Optimierung der Laserfusion (ROLF), Contract No. 5086999001, co-financed by the Saxon State Government out of the State Budget approved by the Saxon State Parliament+3 种基金the European Research Council (ERC) under the European Union’s Horizon 2022 Research and Innovation Programme (Grant Agreement No. 101076233, “PREXTREME”)Computations were performed on a Bull Cluster at the Center for Information Services and High-Performance Computing (ZIH) at Technische Universität Dresden and at the Norddeutscher Verbund für Hoch- und Höchstleistungsrechnen (HLRN) under Grant No. mvp00024support by the National Natural Science Foundation of China under Grant No. 12274171support by the Advanced Materials–National Science and Technology Major Project (Grant No. 2024ZD0606900)
文摘Understanding the properties of warm dense hydrogen is of key importance for the modeling of compact astrophysical objects and to understand and further optimize inertial confinement fusion applications.The workhorse of warm dense matter theory is thermal density functional theory(DFT),which,however,suffers from two limitations:(i)its accuracy can depend on the utilized exchange-correlation functional,which has to be approximated,and(ii)it is generally limited to single-electron properties such as the density distribution.Here,we present a new ansatz combining time-dependent DFT results for the dynamic structure factor S_(ee)(q,ω)with static DFT results for the density response.This allows us to estimate the electron-electron static structure factor S_(ee)(q)of warm dense hydrogen with high accuracy over a broad range of densities and temperatures.In addition to its value for the study of warm dense matter,our work opens up new avenues for the future study of electronic correlations exclusively within the framework of DFT for a host of applications.
文摘AIM:To investigate the effect of pentagonal conjunctival autograft on reducing graft retraction following pterygium surgery.METHODS:This retrospective comparative study included patients who underwent primary pterygium excision with either pentagonal(created by shaping the junction with the recipient conjunctiva into a wedge)or quadrangular conjunctival autograft transplantation.All patients completed a 6mo postoperative follow-up.The primary outcome measure was the incidence of graft retraction;secondary outcomes included graft displacement requiring re-suturing and pterygium recurrence rate.RESULTS:The study enrolled 58 participants,comprising 26(15 males,11 females)in the pentagonal graft group(mean age:54.9±13.1y),and 32(17 males,15 females)in the quadrangular graft group(mean age:57.6±10.4y).Graft retraction occurred in only 1 eye(3.8%)in the pentagonal autograft group,compared to 9 eyes(28.1%)in the quadrangular autograft group.No cases of graft displacement requiring re-suturing were reported in the pentagonal autograft group.Although graft displacement and recurrence requiring re-suturing were observed less frequently in surgeries with a pentagonal graft,the difference was not statistically significant(P>0.05).CONCLUSION:Designing the conjunctival autograft in a pentagonal shape—mimicking geodesic dome architecture and conforming to the eye’s spherical structure—enhances compatibility with the recipient conjunctiva and improves resistance to physical traction forces.This design effectively reduces the incidence of graft retraction and other related complications,providing a more favorable surgical option for pterygium treatment.
文摘Salient object detection(SOD)models struggle to simultaneously preserve global structure,maintain sharp object boundaries,and sustain computational efficiency in complex scenes.In this study,we propose SPSALNet,a task-driven two-stage(macro–micro)architecture that restructures the SOD process around superpixel representations.In the proposed approach,a“split-and-enhance”principle,introduced to our knowledge for the first time in the SOD literature,hierarchically classifies superpixels and then applies targeted refinement only to ambiguous or error-prone regions.At the macro stage,the image is partitioned into content-adaptive superpixel regions,and each superpixel is represented by a high-dimensional region-level feature vector.These representations define a regional decomposition problem in which superpixels are assigned to three classes:background,object interior,and transition regions.Superpixel tokens interact with a global feature vector from a deep network backbone through a cross-attention module and are projected into an enriched embedding space that jointly encodes local topology and global context.At the micro stage,the model employs a U-Net-based refinement process that allocates computational resources only to ambiguous transition regions.The image and distance–similarity maps derived from superpixels are processed through a dual-encoder pathway.Subsequently,channel-aware fusion blocks adaptively combine information from these two sources,producing sharper and more stable object boundaries.Experimental results show that SPSALNet achieves high accuracy with lower computational cost compared to recent competing methods.On the PASCAL-S and DUT-OMRON datasets,SPSALNet exhibits a clear performance advantage across all key metrics,and it ranks first on accuracy-oriented measures on HKU-IS.On the challenging DUT-OMRON benchmark,SPSALNet reaches a MAE of 0.034.Across all datasets,it preserves object boundaries and regional structure in a stable and competitive manner.
文摘Stem cells are pluripotent cells that can divide and differentiate,forming many different types of cells.Stem cells can be obtained from various sources,with embryonic stem cells being the most advantageous as they possess a broad dividing potential.When the standard treatment proves ineffective,stem cells are typically utilized as a final option.Infections and childhood malignancies are among the significant causes of mortality in the pediatric population.Stem cell therapy has shown a decrease in morbidity and mortality when used in patients with favorable conditions like young age and lack of comorbidities.This review discusses how stem cells are prepared and used in treating pediatric diseases like X-linked agammaglobulinemia,diabetes mellitus,aplastic anemia,infections,and leukemia.Technological advancement has played a significant role in producing more specific stem cells using genetic modification methods like clustered regularly interspaced short palindromic repeats/CRISPR-associated protein 9,which produce stem cells that target a particular cell type,e.g.,myocytes and hematopoietic cells,further increasing the effectiveness of the therapy.We address the obstacles faced when conducting research related to stem cells,including ethical and legal issues,which hinder the use of this therapy in some fields.We also indicate recommendations for increasing the efficacy of stem cell therapy in the pediatric population.
文摘Inspections of power transmission lines(PTLs)conducted using unmanned aerial vehicles(UAVs)are complicated by the fine structure of the lines and complex backgrounds,making accurate and efficient segmentation challenging.This study presents the Wavelet-Guided Transformer U-Net(WGT-UNet)model,a new hybrid net-work that combines Convolutional Neural Networks(CNNs),Discrete Wavelet Transform(DWT),and Transformer architectures.The model’s primary contribution is based on spatial and channel attention mechanisms derived from wavelet subbands to guide the Transformer’s self-attention structure.Thus,low and high frequency components are separated at each stage using DWT,suppressing structural noise and making linear objects more prominent.The developed design is supported by multi-component hybrid cost functions that simultaneously solve class imbalance,edge sharpness,structural integrity,and spatial regularity issues.Furthermore,high segmentation success has been achieved in producing sharp boundaries and continuous line structures with the DWT-guided attention mechanism.Experiments conducted on the TTPLA dataset reveal that the version using the ConvNeXt backbone outperforms the current state-of-the-art approaches with an F1-Score of 79.33%and an Intersection over Union(IoU)value of 68.38%.The models and visual outputs of the developed method and all compared models can be accessed at https://github.com/burhanbarakli/WGT-UNET.
文摘A recently published prospective study marks a breakthrough for congenital olfactory disorders in children.The study provides the first long-term,three-year follow-up data,robustly demonstrating the durable efficacy and safety of autologous nasal epithelial stem cell transplantation.This work reveals immense therapeutic potential for a condition traditionally considered untreatable.However,this milestone achievement also presents new challenges.To translate this pioneering therapy from a single-center success to a global standard,multicenter,controlled clinical trials must be initiated immediately.Only through rigorous validation can we ensure its widespread adoption and ultimately bring hope to millions of children worldwide.
基金funded by UBC Forest and Human Wellbeing Research(Grant No.GR020223)。
文摘The rise in urbanization has increasingly restricted access to natural environments,posing substantial risks to the physical and mental health of urban populations,including university students and other high-stress groups.This study examines the comparative effects of outdoor forest meditation(OFM)and indoor nature meditation(INM)in simulated nature environments(SNEs)on the physiological and psychological health of university students.A pretestposttest repeated measures design was employed,with 40students participating in three replicated OFM sessions and three identical INM sessions across varied SNE settings.Key physiological metrics,including heart rate(HR),blood pressure(BP),and salivary amylase concentration(SAC),were measured before and after each session.Psychological well-being was assessed using the Perceived Stress Scale-10(PSS-10)and Profile of Mood States(POMS).Results revealed significant reductions(p<0.05)in most post-intervention outcomes,except in the second indoor session across physiologic al and psychologic al responses,while multi-sensory INM sessions produced comparable benefits.Notably,SNEs with enhanced sensory components were effective,though slightly less impactful than OFM.These findings suggest that both OFM in nature and INM in SNEs can benefit university students'well-being.INM in SNEs offers a promising alternative for those with limited access to natural settings,contributing meaningfully to stress reduction and overall well-being.This study highlights the potential for nature-based strategies for human health in urban centres,advocating for further investigation into the long-term impacts of SNEs and optimal sensory configurations for maximizing therapeutic effects in urban populations.
基金supported by the National Natural Science Foundation of China,Nos.82072165 and 82272256(both to XM)the Key Project of Xiangyang Central Hospital,No.2023YZ03(to RM)。
文摘Spinal cord injury represents a severe form of central nervous system trauma for which effective treatments remain limited.Microglia is the resident immune cells of the central nervous system,play a critical role in spinal cord injury.Previous studies have shown that microglia can promote neuronal survival by phagocytosing dead cells and debris and by releasing neuroprotective and anti-inflammatory factors.However,excessive activation of microglia can lead to persistent inflammation and contribute to the formation of glial scars,which hinder axonal regeneration.Despite this,the precise role and mechanisms of microglia during the acute phase of spinal cord injury remain controversial and poorly understood.To elucidate the role of microglia in spinal cord injury,we employed the colony-stimulating factor 1 receptor inhibitor PLX5622 to deplete microglia.We observed that sustained depletion of microglia resulted in an expansion of the lesion area,downregulation of brain-derived neurotrophic factor,and impaired functional recovery after spinal cord injury.Next,we generated a transgenic mouse line with conditional overexpression of brain-derived neurotrophic factor specifically in microglia.We found that brain-derived neurotrophic factor overexpression in microglia increased angiogenesis and blood flow following spinal cord injury and facilitated the recovery of hindlimb motor function.Additionally,brain-derived neurotrophic factor overexpression in microglia reduced inflammation and neuronal apoptosis during the acute phase of spinal cord injury.Furthermore,through using specific transgenic mouse lines,TMEM119,and the colony-stimulating factor 1 receptor inhibitor PLX73086,we demonstrated that the neuroprotective effects were predominantly due to brain-derived neurotrophic factor overexpression in microglia rather than macrophages.In conclusion,our findings suggest the critical role of microglia in the formation of protective glial scars.Depleting microglia is detrimental to recovery of spinal cord injury,whereas targeting brain-derived neurotrophic factor overexpression in microglia represents a promising and novel therapeutic strategy to enhance motor function recovery in patients with spinal cord injury.
基金supported by National Natural Science Foundation of China(52277094).
文摘Hybrid MMC(Hy-MMC)has broad application prospects because of the negative level output ability in its bridge arm.A Hy-MMC topology with a high-modulation ratio is designed in this paper.A second-harmonic current injection(SHCI)strategy based on Hy-MMC in high-modulation operation is also proposed to improve the power density of Hy-MMC effectively in steady-state operation.The amplitude of SHCI is determined from the perspective of the root mean square(RMS)value of bridge arm current,and the optimal initial phase angle is determined from the multi-objective optimization(capacitor voltage ripple of sub-modules(SMs),power loss,and peak value of bridge arm current).The effectiveness and engineering practicability of the proposed SHCI strategy based on Hy-MMC in high-modulation operation is verified by the electromagnetic transient(EMT)simulation using PSCAD/EMTDC®.The simulation results show that the capacitor voltage ripple of SMs can be effectively decreased by 61.98%or the capacitance can be decreased by 40%.The power loss is also analyzed.In addition,little influence of low capacitance on multi-operation conditions of Hy-MMC is verified by EMT simulation.
基金Supported by the National Natural Science Foundation of China(42173030,42302161,42473034)State Science and Technology Major Project for New Oil and Gas Exploration and Development,Ministry of Science and Technology(2025ZD1400803)。
文摘In the Jimusaer Sag of the Junggar Basin,crude oils from the upper and lower sweet-spot intervals of the Permian Lucaogou Formation display a pronounced“light-heavy reversal”in oil properties that indicates a fundamental mismatch between oil composition and host rock maturity.To resolve this anomaly,this study integrates geological,geochemical,and petrophysical datasets and systematically evaluates the combined roles of thermal evolution,organofacies,wettability,abnormal overpressure,and migration-related fractionation on shale oil composition.On this basis,a“staged charging-cumulative charging”model is proposed to explain compositional heterogeneity in lacustrine shale oils.The results demonstrate that crude-oil compositions are jointly controlled by the extent of biomarker depletion,the temporal evolution of hydrocarbon charging,and the openness of the source-reservoir system,rather than by thermal maturity or organofacies alone.The upper sweet-spot interval is interpreted to have functioned as a semi-open system during early stages,in which hydrocarbon generation and expulsion were broadly synchronous,leading to preferential loss of early-generated,biomarker-rich heavy components,whereas progressive shale diagenesis at later stages promoted the retention of highly mature,light hydrocarbons.In contrast,the lower sweet-spot interval represents a relatively closed system,where hydrocarbons generated during multiple stages continuously accumulated and were preserved as mixed charges;overprinting by multi-phase fluids progressively weakened sterane isomerization signals,rendering them unreliable indicators of individual charging events or final thermal maturity.This charging behavior provides a reasonable explanation for anomalously low or distorted biomarker parameters observed in intervals of low or similar maturity.Overall,the proposed charging model reconciles the observed reversal in crude-oil properties and,by shifting the interpretive focus from static maturity assessment to charging dynamics,offers a new theoretical basis for understanding lacustrine shale oil accumulation processes,and guiding sweet-spot selection and exploration-development strategies.
基金supported by the German Federal Ministry of Education and Research(BMBF)within the project H2Giga-SINEWAVE OxySep,grant no 03HY123Eand the Faculty of Mechanical Science and Engineering at TU Dresden.Pengfei Zhao would like to acknowledge the China Scholarship Council(CSC)+3 种基金supported by a Humboldt Research Fellowship from the Alexander von Humboldt Foundationthe financial support from Qinghai Province(No.2025ZY001,2024000060)Chinese Academy of Sciences(No.2023000024)funding from the Deutsche Forschungsgemeinschaft:Project ID 265191195-SFB1194 and 456180046.
文摘Droplet impact on solid surfaces plays a critical role in a wide range of applications,including inkjet printing,spray cooling,surface coatings,and microdroplet chemistry.Precise control of droplet–surface interactions is essential,but the fundamental mechanisms governing this process are still not fully understood.In this study,we demonstrate that large contact angle hysteresis(CAH)on hydrophobic nanoporous surfaces significantly amplifies post-impact droplet oscillations.This reveals the critical influence of CAH on the redistribution of impact energy and the modulation of droplet–surface interactions.Using shape mode decomposition via Legendre polynomials and fast Fourier transform spectral analysis,we show that surfaces with larger CAH excite and sustain higher-order droplet shape mode oscillations,leading to persistent capillary waves even after contact line pinning.The observed amplitude modulation and multiple frequency components within individual shape modes reveal nonlinear energy transfer between different modes.These amplified and coupled oscillations are shown to promote daughter droplet coalescence.This study presents a framework for understanding the role of CAH in storing and redistributing impact energy through nonlinear mode excitation and establishes CAH as a critical design parameter for controlling fluid dynamics on solid surfaces.
基金supported by the National Natural Science Foundation of China(32021005)111 project(BP0719028)the Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province.
文摘This study aimed to investigate the effects of infant feces-derived Bifidobacterium breve CCFM1078 on rheumatoid cachexia(RC).Twenty-four female Wistar rats were assigned to 3 groups:CON group(normal saline by gavage),CIA group(collagen-induced arthritis(CIA),normal saline by gavage),and CCFM1078 group(CIA,3×10^(9)CFU/(rat·day)B.breve CCFM1078 gavage).The results demonstrated that B.breve CCFM1078 not only improved skeletal muscle function in CIA rats,but also modulated the gut microbiota,skeletal muscle metabolism and hormone levels,reduced inflammation in the knee joint and skeletal muscles,decreased activity of the nuclear factor κB(NF-κB)inflammatory signaling pathway,enhanced the insulin receptor substrate 1(IRS1)/phosphatidylinositol 3-kinase/protein kinase(PI3K/Akt)signaling pathway,promoted skeletal muscle differentiation,and maintained skeletal muscle fiber diameter,consequently slowing down the progression of RC.These findings suggested that B.breve CCFM1078 may have a beneficial role as part of a dietary intervention for RC,enhancing overall therapeutic effects.
