Land use changes reshape the generation and transport patterns of nitrogen(N)entering the water environment from both natural and anthropogenic activities,by altering the type and intensity of N-emitting activities an...Land use changes reshape the generation and transport patterns of nitrogen(N)entering the water environment from both natural and anthropogenic activities,by altering the type and intensity of N-emitting activities and the retention effect on N in surface runoff that traverses the land.This study develops an integrated methodological framework that combines N flow analysis,geospatial analysis,land use change prediction,and nutrient transport simulation to analyze the spatial patterns of waterborne N emissions under various land use scenarios,considering different future land structures and the implementation of riparian buffers as artificial interventions.Using the Guangdong-Hong Kong-Macao Greater Bay Area as a case,we find that all land use scenarios in 2030 and 2040 involve the expansion of impervious land and the reduction of forest and water,with only the Ecological Conservation scenario resulting in a minimal loss of forest.Direct N emissions to water account for>85%of the total waterborne N emissions,while indirect N emissions from diffuse sources exhibit an export rate of around 16%.By 2040,the Ecological Conservation scenario preserves 511 km2more arable land compared to the Economic Development scenario,while also achieving a reduction of 870 t of N export.This benefit is particularly significant for highly urbanized cities.Riparian buffers are critical areas for reforestation with an estimated reduction of approximately 6.9 t N for every additional km2of riparian forest.The findings offer land management strategies for mitigating waterborne N emissions in fast-urbanizing city clusters.展开更多
The Earth's crust,the outer shell of the Earth,consists of continental crust and oceanic crust.Oceanic crust is created at the mid-oceanic ridge,where it is magnetized in the ambient field of the Earth.As new mate...The Earth's crust,the outer shell of the Earth,consists of continental crust and oceanic crust.Oceanic crust is created at the mid-oceanic ridge,where it is magnetized in the ambient field of the Earth.As new material is extruded,the crust spreads outward,retaining its magnetization.The reversal of the polarity of the Earth's magnetic field over geologic time leads to a pattern of striped magnetic anomalies.In this study,we carry out a preliminary evaluation on how data from the Macao Science Satellite-1(MSS-1),which has a low orbital inclination,influences inversion models of the oceanic crustal magnetic field when combined with data from the Swarm mission.For our modeling we use an equivalent source method based on a cubed-sphere grid.Our model captures the broad magnetic structure over the North Atlantic Ocean and demonstrates that the trend of magnetic stripes is consistent with the age frame of the oceanic crust.The amplitude of the radial magnetic field at 450 km the North Atlantic Ocean ranges from–11 nT to+8 nT.The addition of MSS-1 observations to Swarm data generates results consistent with the overall magnetic stripe pattern.The lack of short-wavelength scale structure reveals the limitation of high-altitude satellites in portraying fine features and hence lower-altitude observations would be required to delineate a more detailed crustal signature.It is expected to obtain a finer structure of oceanic magnetic stripes by combining low-altitude CHAMP field data and east-west gradient data derived from MSS-1 in future work.展开更多
Objective:To assess the therapeutic effects of electroacupuncture(EA)in a rat model of diabetic cystopathy(DCP)and examine its impact on the expression of transient receptor potential vanilloid 1(TRPV1)in the dorsal r...Objective:To assess the therapeutic effects of electroacupuncture(EA)in a rat model of diabetic cystopathy(DCP)and examine its impact on the expression of transient receptor potential vanilloid 1(TRPV1)in the dorsal root ganglion(DRG).Methods:Sixty male Sprague-Dawley rats were divided into four groups:control,DCP,EA,and sham EA(n=10).DCP was induced using a high-fat diet,followed by streptozotocin injection.EA was administered at the Pangguangshu(BL 28)and Sanyinjiao(SP 6)acupoints for 8 weeks.Bladder function,structure,and molecular changes were evaluated using ultrasonography,urodynamic tests,bladder weight measurements,histological stainings(hematoxylin and eosin and Masson's trichrome stainings),transmission electron microscopy,immunohistochemical analysis,and Western blot for TRPV1 expression in the DRG.Results:The DCP group exhibited significantly increased bladder weight,wall thickness,collagen fiber expression,maximum bladder capacity(MBC),post-void residual(PVR),and leakage point pressure,along with reduced bladder compliance(BC)and voiding efficiency(V%)compared with the control group(all P<.05).EA treatment significantly decreased bladder weight(P=.003),collagen deposition(P=.002),wall thickness(P=.027),MBC(P=.046),and PVR(P=.023),and increased BC(P=.048)and V%(P=.022)compared with sham EA.Ultrastructural damage in DRG neurons was markedly ameliorated by EA.TRPV1 protein expression in the DRG was significantly higher in the EA group than in the sham EA group(immunohistochemistry:P=.003;Western blot:P=.001).Conclusion:EA alleviates bladder dysfunction and remodeling in DCP rats,an effect associated with upregulated TRPV1 expression in the DRG,reduced bladder fibrosis,and preserved neuronal ultrastructure.These findings suggest a potential role for TRPV1 signaling in mediating the therapeutic effects of EA,warranting further functional investigation.展开更多
Recovering LiFePO4 extraction slag(LES)-the FePO4-rich residue formed after Li leaching from spent LiFePO4-has become pivotal to minimizing resource losses,mitigating environmental risks,and advancing circula...Recovering LiFePO4 extraction slag(LES)-the FePO4-rich residue formed after Li leaching from spent LiFePO4-has become pivotal to minimizing resource losses,mitigating environmental risks,and advancing circularity in lithium-ion battery value chains.However,integrative frameworks that link closed-loop routes(returning to battery precursors/cathodes)with non-closed-loop upcycling are still limited,constraining process optimization and scale-up.This review synthesizes current progress in LES recycling with emphasis on maximizing recovery efficiency and product value.In closed-loop pathways,hydrometallurgical purification removes impurities to yield battery-grade FePO4 as an LiFePO4 precursor,while direct relithiation(e.g.,solid-state sintering aided by Li sources and reductants)restores Li and reduces Fe3+to Fe2+,thereby regenerating LiFePO4 cathodes from LES.In non-closed-loop pathways,compositionally guided upcycling converts LES into advanced materials(e.g.,high-performance electrodes,highcapacity adsorbents),thereby broadening the techno-economic value propositions.We also distill lessons from early industrial practice,identifying constraints arising from feedstock variability,energy-cost coupling(thermal/chemical utilities),and product-quality assurance(battery-grade specifications).Finally,we map research directions-including data-driven feed characterization and process control,defecthealing relithiation strategies and interfacial engineering,quality grading and market pathways,and multi-scenario deployment-to enhance the technical and economic sustainability of LES recycling and accelerate its contribution to a circular battery economy.展开更多
This study presents preliminary results of tidal-induced magnetic field signals extracted from 9 months of data collected by the Macao Science Satellite-1(MSS-1) from November 2023 to July 2024. Tidal signals were iso...This study presents preliminary results of tidal-induced magnetic field signals extracted from 9 months of data collected by the Macao Science Satellite-1(MSS-1) from November 2023 to July 2024. Tidal signals were isolated using sequential modeling techniques by subtracting non-tidal field model predictions from observed magnetic data. The extracted MSS-1 results show strong agreement with those from the Swarm and CryoSat satellites. MSS-1 effectively captures key large-scale tidal-induced magnetic anomalies, mainly due to its unique 41-degree low-inclination orbit, which provides wide coverage of local times. This finding underscores the strong potential of MSS-1 to recover high-resolution global tidal magnetic field models as more MSS-1 data become available.展开更多
In this study,we present a comprehensive evaluation of the magnetic field measurements from the Vector Field Magnetometer(VFM)aboard the recently launched Macao Science Satellite-1(MSS-1).One-year data from November 2...In this study,we present a comprehensive evaluation of the magnetic field measurements from the Vector Field Magnetometer(VFM)aboard the recently launched Macao Science Satellite-1(MSS-1).One-year data from November 2,2023,to November 1,2024,are considered.The MSS-1 flies with a low inclination(41°)and is designed to provide high-resolution magnetic field measurements,especially for monitoring the evolution of the South Atlantic Anomaly.Earlier studies confirmed the possibility of using MSS-1A data to model the Earth’s main magnetic field(e.g.,Jiang Y et al.,2024).Therefore,in this study we focus on the magnetic signatures related to the external field,which are primarily associated with magnetospheric and ionospheric currents.The global distributions of the magnetic residuals from MSS-1A show a pattern consistent with that derived from the European Space Agency’s Swarm A satellite.A statistical survey of the conjugated observations(withΔt<5 min andΔR<150 km)between the two satellites showed that the difference between their magnetic residuals is within±3 nanoteslas.By separating the magnetic residuals at the noon and midnight hours,we see that the MSS-1A data can effectively capture features of the magnetospheric and ionospheric currents,such as the magnetospheric ring current and ionospheric equatorial electrojet.Moreover,the magnetic residuals from MSS-1A show a diamagnetic effect caused by post-sunset equatorial plasma bubbles,which also suggests that the MSS-1A data have the potential to reveal the ionospheric structures.The comprehensive evaluations performed within this study demonstrate that the MSS-1A provides high-quality magnetic field data reaching the level of the Swarm satellite,which enables a deeper understanding of the modeling of Earth’s magnetic field as well as monitoring of the magnetic environment.展开更多
Water content, whether as free or lattice-bound water, is a crucial factor in determining the Earth's internal thermal state and plays a key role in volcanic eruptions, melting phenomena, and mantle convection rat...Water content, whether as free or lattice-bound water, is a crucial factor in determining the Earth's internal thermal state and plays a key role in volcanic eruptions, melting phenomena, and mantle convection rates. As electrical conductivity in the Earth's interior is highly sensitive to water content, it is an important geophysical parameter for understanding the deep Earth water content. Since its launch on May 21, 2023, the MSS-1(Macao Science Satellite-1) mission has operated for nearly one year, with its magnetometer achieving a precision of higher than 0.5 nT after orbital testing and calibration. Orbiting at 450 kilometers with a unique 41-degree inclination, the satellite enables high-density observations across multiple local times, allowing detailed monitoring of low-latitude regions and enhancing data for global conductivity imaging. To better understand the global distribution of water within the Earth's interior, it is crucial to study internal conductivity structure and water content distribution. To this aim, we introduce a method for using MSS-1 data to estamate induced magnetic fields related to magnetospheric currents. We then develop a trans-dimensional Bayesian approach to reveal Earth's internal conductivity, providing probable conductivity structure with an uncertainty analysis. Finally, by integrating known mineral composition, pressure, and temperature distribution within the mantle, we estimate the water content range in the mantle transition zone, concluding that this region may contain the equivalent of up to 3.0 oceans of water, providing compelling evidence that supports the hypothesis of a deep water cycle within the Earth's interior.展开更多
The Macao Science Satellite-1(known as MSS-1)is the first scientific exploration satellite that was designed to measure the Earth's low latitude magnetic field at high resolution and with high precision by collect...The Macao Science Satellite-1(known as MSS-1)is the first scientific exploration satellite that was designed to measure the Earth's low latitude magnetic field at high resolution and with high precision by collecting data in a near-equatorial orbit.Magnetic field data from MSS-1's onboard Vector Fluxgate Magnetometer(VFM),collected at a sample rate of 50 Hz,allows us to detect and investigate sources of magnetic data contamination,from DC to relevant Nyquist frequency.Here we report two types of artificial disturbances in the VFM data.One is V-shaped events concentrated at night,with frequencies sweeping from the Nyquist frequency down to zero and back up.The other is 5-Hz events(ones that exhibit a distinct 5 Hz spectrum peak);these events are always accompanied by intervals of spiky signals,and are clearly related to the attitude control of the satellite.Our analyses show that VFM noise levels in daytime are systematically lower than in nighttime.The daily average noise levels exhibit a period of about 52 days.The V-shaped events are strongly correlated with higher VFM noise levels.展开更多
Strong flares and/or coronal mass ejections(CMEs) could bring us disastrous space weather,destroy crucial technology in space,and cause a large-scale blackout during some extreme cases.They frequently cause geomagneti...Strong flares and/or coronal mass ejections(CMEs) could bring us disastrous space weather,destroy crucial technology in space,and cause a large-scale blackout during some extreme cases.They frequently cause geomagnetic storms,which is a sudden disturbance of the Earth's magnetosphere.It is well accepted that CMEs play a dominant role in causing geomagnetic storms by a direct impact,but it is still not very clear regarding their association with solar flares.The association would be helpful for forecasting geomagnetic storms directly from flares,which are much easier to observe.The Macao Science Satellite-1(MSS-1) mission,with the scientific aim of studying the origin and evolution of the geomagnetic field,is able to accurately measure the vector geomagnetic field.Besides,it measures rapid spectral evolution of the solar X-ray irradiance of solar flares.In this study,we analyzed measurements by MSS-1 during a series of X-class flares in October of 2024,and saw the relationship between the flares and the associated geomagnetic storms.The observations support that the major geomagnetic storms tend to be associated with flares' duration in addition to flare class.We also find that long duration ones have radiated more energy in the extreme ultraviolet waveband.Being equally important,our results show that the magnetic fields measured by MSS-1,especially its external(e10) coefficient,can well be used for monitoring the geomagnetic disturbance.展开更多
AS Artificial Intelligence(AI)is impacting medical science and practice rapidly and profoundly[1],people wonder what future patients,doctors,treatments,hospitals,and medical colleges would look like after Large Langua...AS Artificial Intelligence(AI)is impacting medical science and practice rapidly and profoundly[1],people wonder what future patients,doctors,treatments,hospitals,and medical colleges would look like after Large Language Models(LLMs)and AI Agents?We would like to share our experiences and thoughts from our projects in parallel intelligence for medicine and hospitals since 2013[2]–[4].展开更多
Dental caries,a highly prevalent oral disease,is primarily driven by pathogenic biofilms;however,current antimicrobials exhibit limited efficacy and poor specificity against cariogenic biofilms.Although nanobiocatalys...Dental caries,a highly prevalent oral disease,is primarily driven by pathogenic biofilms;however,current antimicrobials exhibit limited efficacy and poor specificity against cariogenic biofilms.Although nanobiocatalysts that can produce reactive oxygen species represent a promising alternative to conventional antimicrobials,most current designs fail to achieve robust bacterial interaction and exhibit insufficient disruption of biofilm integrity.To address these challenges,we report the de novo design of phage-inspired artificial peroxidases(IrNC@TiO2)featuring a robust sub-nanometer cluster site and urchin-like topography,which enables efficient oral biofilm elimination and dental caries prevention.Structural characterization confirmed that sub-nanometer Ir clusters are stably anchored to the TiO2support via Ir–O coordination.Leveraging the robust enzymatic activity of Ir clusterzymes and the topological advantages of the spiky substrate,IrNC@TiO2exhibits potent multi-enzyme mimetic activity,generating substantial amounts of·O2-and HClO to effectively capture and eradicate planktonic Streptococcus mutans and suppress biofilm formation.In a caries model,IrNC@TiO2significantly inhibited tooth surface biofilm development,prevented enamel demineralization,and reduced caries incidence.The material also demonstrated negligible cytotoxicity and outperformed conventional non-abrasive additives in tooth-whitening assays.This work introduces a robust and efficient ROS-generating platform for oral health care and proposes a promising solution for clinical caries prevention.展开更多
This article examines wafer lots scheduling in the diffusion area in semiconductor manufacturing.The diffusion area comprises multiple tool groups.Each of them contains non-identical semiconductor tools.All tools can ...This article examines wafer lots scheduling in the diffusion area in semiconductor manufacturing.The diffusion area comprises multiple tool groups.Each of them contains non-identical semiconductor tools.All tools can process multiple wafer lots simultaneously,and wafer lots processed together in a tool are called a wafer batch.Besides,each wafer lot has specific queue time limits(QTLs)between consecutive processing operations,making the scheduling problem more complicated.To solve it,a discrete backtracking search optimization algorithm(DBSA)is designed for optimizing both wafer lot assignments and wafer batch processing sequences.Once the processing sequence of wafer batches at each tool is determined,a linear program(LP)is built to obtain optimal starting and completion time points of wafer batches while satisfying QTLs.If a schedule is examined to have no feasible solution by the LP,a proposed approach is used to regroup wafer lots to form wafer batches and adjust their processing sequences to potentially make it feasible.Extensive experiments show that DBSA reliably produces feasible schedules and outperforms GA,MixPSO,and GWO,with up to 17.75%,19.19%,and 9.21%reductions in average cycle time,respectively,demonstrating its superiority in both solution quality and practical applicability.展开更多
With the rapid development of aviation industry and its increasing impact on the global climate change,the contributions of carbon emissions frominternational flights are attracting more and more attention worldwide.T...With the rapid development of aviation industry and its increasing impact on the global climate change,the contributions of carbon emissions frominternational flights are attracting more and more attention worldwide.This study,taking Macao as the aviation hub,established the cross-border aviation carbon emission evaluation model to explore dynamic carbon emissions and net-zero path of international flights.The aviation hubmainly covers 58 routes and five types of civil aircraft from 12 countries or regions during 2000-2022.The results show that the aviation transportation in Macao emitted about 1.44 million tons CO2eq in 2019,which is high 3.6 times that of 2000.The COVID-19 has led to a rapid decline in aviation carbon emissions in a short period of time,carbon emissions in 2020 decreased by 80%compared to 2019.In terms of cumulative carbon emissions from 2000 to 2019,the A321 and A320 Airbus contribute to 80%of carbon emissions.And the Chinese mainland(37%)and Taiwan(29%)are the main sources of emissions.In 2000-2019,the proportion of carbon emissions from China(including Taiwan and Hong Kong)decrease from 91%to 53%,while the contribution from Southeast Asia(from 5% to 26%),Japan and South Korea(from 2% to 19%)keep the growth trends.In the optimal scenario(B3C3),net zero emissions of cross-border aviation in Macao can be not achieved,and there is still only by removing 0.3 million tons CO2eq.Emission reduction technology and new energy usage are priorities for the aviation emission reduction.展开更多
Persistent severe rainfall(PSR)events,defined as regional-scale rainfall processes with daily precipitation no less than 50 mm for at least three consecutive days,frequently occur over South China(SC)and the middle-to...Persistent severe rainfall(PSR)events,defined as regional-scale rainfall processes with daily precipitation no less than 50 mm for at least three consecutive days,frequently occur over South China(SC)and the middle-to-lower Yangtze River Basin(MLYRB),with distinct dynamic mechanisms and moisture conditions in the two regions.Based on daily precipitation observations from China’s national meteorological stations and ERA5 reanalysis during 2012-21,this study investigates the spatiotemporal distribution of PSR events in SC and MLYRB and their associated three-dimensional circulation dynamics.The analysis integrates diagnostics of 200 hPa wave activity flux,perturbation streamfunction,500 hPa geopotential height,850 hPa wind fields,and integrated water vapor transport.Results show that PSR events in SC mainly occur during May-June,with rainfall centers over coastal and central Guangdong and Guangxi.In contrast,MLYRB events peak during June-July,with a banded rainfall pattern along the middle-to-lower Yangtze River.Dynamical diagnostics indicate that,in SC,sustained northwest-southeast propagation of 200 hPa disturbances,the southward shift of the 500 hPa trough,and steady subtropical high maintenance provide continuous dynamical support.Concurrently,strong and persistent 850 hPa southwesterlies and long-lasting moisture transport form favorable moisture conditions.In contrast,MLYRB events are marked by rapid phase transitions of 200 hPa streamfunction anomalies and northward-westward expansion of the 500 hPa subtropical high,triggering intense rainfall development.Simultaneously,abrupt enhancement of 850 hPa southwesterlies and rapid formation of a southwest moisture corridor ensure abundant and timely moisture supply,facilitating PSR onset.展开更多
BACKGROUND Clinical psychological nursing plays a vital role in clinical practice,and“mental health nurses”face greater stress than general nurses.Assessing the stress responses of“psychological nurses”during the ...BACKGROUND Clinical psychological nursing plays a vital role in clinical practice,and“mental health nurses”face greater stress than general nurses.Assessing the stress responses of“psychological nurses”during the implementation of psychological care and developing corresponding stress reduction strategies will enhance their capacity for stress management.AIM To explore the effect of pressure adjustment on mental health nurses in graded psychological nursing departments of general hospitals and to enhance their stress-coping ability through the Stress Management and Resiliency Trainingclinical(SMART-C)program.METHODS A total of 40 mental health nurses engaged in graded psychological nursing assessment and implementation in a hospital-wide pilot department from January 2019 to June 2020 were enrolled.The SMART-C stress management training was implemented,and stressors and psychosomatic responses were compared before and after the intervention.RESULTS Before mental health nursing participated in group training,the psychological stressor assessment results showed that“task”stress was significantly higher than“responsibility”stress,and“interpersonal”stress was close to the domestic norm.After 8 weeks of SMART-C stress management training,the“responsibility”and“task”stress decreased significantly.Before the implementation of the plan,stomachaches,headaches,and sleep issues were the three most severe physical symptoms troubling mental health nurses.The self-rated psychological stress and somatic symptom scores among the mental health nurses decreased significantly following SMART-C training.CONCLUSION SMART-C stress management training can improve stress-adjustment ability and reduce adverse somatic reactions in mental health nurses.展开更多
Discovering meaningful face morphing is critical for applications in image synthesis.Traditional unsupervised methods rely on global or layer-wise representations,neglecting finer local details and thus limiting the c...Discovering meaningful face morphing is critical for applications in image synthesis.Traditional unsupervised methods rely on global or layer-wise representations,neglecting finer local details and thus limiting the control over specific facial attributes.In this work,we introduce an improved unsupervised approach that leverages contrastive learning and K-means clustering to learn both layer-wise and local features(LLF)in the latent space of StyleGAN.Our method segments latent representations into multiple local components across different layers,enabling fine-grained control over attributes such as hair,eyes,and mouth.Experimental results demonstrate that LLF outperforms existing methods by providing more interpretable facial transformations while preserving high image realism,offering a promising solution for enhanced unsupervised face morphing applications.The code is available at http://gffzz188fe103f8f1460asqkpuxpv06uqv6xxc.ffgz.tsg.suse.edu.cn/disanda/LLF.展开更多
The core-surface flow is crucial for understanding the dynamics of the Earth's outer core and geomagnetic secular variations.Conventional core flow models often use a single set of spherical harmonic coefficients ...The core-surface flow is crucial for understanding the dynamics of the Earth's outer core and geomagnetic secular variations.Conventional core flow models often use a single set of spherical harmonic coefficients to represent the flow both inside and outside the tangent cylinder,inherently imposing continuity across the tangent cylinder around the solid inner core.To address this limitation,we present a core-surface flow inversion framework based on physics-informed neural networks.This framework employs distinct neural network representations for the flow inside and outside the tangent cylinder,allowing for discontinuities as the flow crosses the tangent cylinder.Additionally,it incorporates secular acceleration data to constrain the temporal evolution of the core flow.Using this inversion framework,we derive a new core-surface flow model spanning 2001 to 2024 from a geomagnetic model,incorporating the latest magnetic data from Swarm satellites and Macao Science Satellite-1.The recovered model reveals persistent large-scale circulation linked to westward drift,significant temporal variations in the equatorial Pacific,and distinct jet-like structures at the poles.The inversion also reveals a large-scale wave pattern in equatorial azimuthal flow acceleration,corresponding to observed geomagnetic jerks and likely resulting from quasi-geostrophic magneto-Coriolis waves.Additionally,the framework infers small-scale magnetic fields at the core-mantle boundary,highlighting split flux concentrations and localized high-latitude patches.展开更多
The Macao Science Satellite-1(MSS-1)is the first space science satellite jointly developed on the Chinese mainland and in Macao region.It comprises two satellites,named MSS-1A and MSS-1B,and holds considerable importa...The Macao Science Satellite-1(MSS-1)is the first space science satellite jointly developed on the Chinese mainland and in Macao region.It comprises two satellites,named MSS-1A and MSS-1B,and holds considerable importance in China’s space exploration endeavors.Among these,MSS-1A is the world’s first high-precision scientific satellite dedicated to exploring the geomagnetic field and space environment at low latitudes.Equipped with two high-precision vector magnetometers and one scalar magnetometer,which are integrally installed on a highly stable nonmagnetic optical bench,the MSS-1A enables simultaneous high-precision measurements of both the Earth’s vector magnetic field and its scalar components.Its design integrates several state-of-the-art technologies,including arc-second-level thermal stability control,nonmagnetic thermal control for the optical bench,and ultra-high magnetic cleanliness control.These innovations effectively minimize magnetic interference originating from the satellite itself,thereby substantially improving the precision of geomagnetic field measurements and establishing a robust technical foundation for future magnetic survey satellite constellations.展开更多
Obesity,a global epidemic,is closely linked to metabolic complications like insulin resistance and type 2 diabetes.Pancreatic dysfunction(impaired islet secretion and local inflammation)is central to this deterioratio...Obesity,a global epidemic,is closely linked to metabolic complications like insulin resistance and type 2 diabetes.Pancreatic dysfunction(impaired islet secretion and local inflammation)is central to this deterioration,yet the underlying mechanisms remain unclear.Pancreatic macrophages regulate tissue inflammation and metabolic homeostasis,but their context-specific polarization in obesity is undefined.This review discusses the role of triggering receptor expressed on myeloid cells 2(TREM2)in modulating pancreatic macrophage behavior in the context of obesity,based on findings from diet-induced obese mouse models and ex vivo pancreatic analyses.Emerging evidence indicates that TREM2 expression is markedly upregulated in pancreatic macrophages of obese subjects,where TREM2-driven macrophage activation promotes pro-inflammatory cytokine release and disrupts macrophage-islet β-cell crosstalk.Transcriptomic profiling reveals that TREM2 signaling reshapes macrophage transcriptional landscapes,enhancing proinflammatory phenotypes while impairing islet-supporting capacity.Notably,macrophage-specific TREM2 ablation has been shown to ameliorate pancreatic inflammation,restore islet insulin secretion,and alleviate systemic metabolic disorders in obese mice.Collectively,these findings identify TREM2 as a pivotal molecular switch governing pancreatic macrophage-mediated metabolic dysfunction in obesity,highlighting TREM2+pancreatic macrophages as a potential therapeutic target.These findings advance the understanding of immunemetabolic crosstalk in the pancreas,laying a foundation for developing novel immunometabolic interventions.展开更多
Accurate modeling of Earth's ionospheric F-region currents is essential for refining geomagnetic field models and understanding magnetosphere-ionosphere coupling.In this study,we develop averaged models to charact...Accurate modeling of Earth's ionospheric F-region currents is essential for refining geomagnetic field models and understanding magnetosphere-ionosphere coupling.In this study,we develop averaged models to characterize F-region currents using magnetic data from the MSS-1(Macao Science Satellite-1) and Swarm satellite missions.Our approach employs a toroidal field representation,utilizing spherical harmonics to capture spatial variations and Fourier series to represent temporal dynamics.Two models,Model-A and Model-B,derived from distinct datasets,are constructed to represent current patterns at altitudes of 450 km and 512 km,respectively.Our models successfully capture the primary spatial structures and seasonal variations of polar field-aligned currents.Additionally,they accurately reproduce the localized inter-hemispheric field-aligned currents observed in mid and low latitudes during solstices,particularly between 14:00 and 16:00 magnetic local times.These findings enhance our understanding of ionospheric F-region currents and contribute to more precise geomagnetic field modeling.展开更多
基金supported by the National Natural Science Foundation of China (NSFC)(Nos. 72261160655 and 72304072)the Science and Technology Development Fund of Macao (FDCT)(No. 0033/2022/AFJ)supported by The Hong Kong Jockey Club Charities Trust
摘要Land use changes reshape the generation and transport patterns of nitrogen(N)entering the water environment from both natural and anthropogenic activities,by altering the type and intensity of N-emitting activities and the retention effect on N in surface runoff that traverses the land.This study develops an integrated methodological framework that combines N flow analysis,geospatial analysis,land use change prediction,and nutrient transport simulation to analyze the spatial patterns of waterborne N emissions under various land use scenarios,considering different future land structures and the implementation of riparian buffers as artificial interventions.Using the Guangdong-Hong Kong-Macao Greater Bay Area as a case,we find that all land use scenarios in 2030 and 2040 involve the expansion of impervious land and the reduction of forest and water,with only the Ecological Conservation scenario resulting in a minimal loss of forest.Direct N emissions to water account for>85%of the total waterborne N emissions,while indirect N emissions from diffuse sources exhibit an export rate of around 16%.By 2040,the Ecological Conservation scenario preserves 511 km2more arable land compared to the Economic Development scenario,while also achieving a reduction of 870 t of N export.This benefit is particularly significant for highly urbanized cities.Riparian buffers are critical areas for reforestation with an estimated reduction of approximately 6.9 t N for every additional km2of riparian forest.The findings offer land management strategies for mitigating waterborne N emissions in fast-urbanizing city clusters.
基金supported by the National Natural Science Foundation of China(42250101,42250102,42250103)the Macao Foundation,and the Science and Technology Development Fund,Macao SAR(File No.0002/2019/APD)。
摘要The Earth's crust,the outer shell of the Earth,consists of continental crust and oceanic crust.Oceanic crust is created at the mid-oceanic ridge,where it is magnetized in the ambient field of the Earth.As new material is extruded,the crust spreads outward,retaining its magnetization.The reversal of the polarity of the Earth's magnetic field over geologic time leads to a pattern of striped magnetic anomalies.In this study,we carry out a preliminary evaluation on how data from the Macao Science Satellite-1(MSS-1),which has a low orbital inclination,influences inversion models of the oceanic crustal magnetic field when combined with data from the Swarm mission.For our modeling we use an equivalent source method based on a cubed-sphere grid.Our model captures the broad magnetic structure over the North Atlantic Ocean and demonstrates that the trend of magnetic stripes is consistent with the age frame of the oceanic crust.The amplitude of the radial magnetic field at 450 km the North Atlantic Ocean ranges from–11 nT to+8 nT.The addition of MSS-1 observations to Swarm data generates results consistent with the overall magnetic stripe pattern.The lack of short-wavelength scale structure reveals the limitation of high-altitude satellites in portraying fine features and hence lower-altitude observations would be required to delineate a more detailed crustal signature.It is expected to obtain a finer structure of oceanic magnetic stripes by combining low-altitude CHAMP field data and east-west gradient data derived from MSS-1 in future work.
基金supported by the National Natural Science Foundation of China(82405178)Qinchuangyuan Traditional Chinese Medicine Industry Innovation Cluster Project(L2024-QCY-ZYYJJQ-X163)+1 种基金Noncommunicable Chronic Diseases-National Science and Technology Major Project(2023ZD0509400)Shaanxi Provincial Administration of Traditional Chinese Medicine Scientific Research Project(SZY-KJCYC-2025-JC-016).
摘要Objective:To assess the therapeutic effects of electroacupuncture(EA)in a rat model of diabetic cystopathy(DCP)and examine its impact on the expression of transient receptor potential vanilloid 1(TRPV1)in the dorsal root ganglion(DRG).Methods:Sixty male Sprague-Dawley rats were divided into four groups:control,DCP,EA,and sham EA(n=10).DCP was induced using a high-fat diet,followed by streptozotocin injection.EA was administered at the Pangguangshu(BL 28)and Sanyinjiao(SP 6)acupoints for 8 weeks.Bladder function,structure,and molecular changes were evaluated using ultrasonography,urodynamic tests,bladder weight measurements,histological stainings(hematoxylin and eosin and Masson's trichrome stainings),transmission electron microscopy,immunohistochemical analysis,and Western blot for TRPV1 expression in the DRG.Results:The DCP group exhibited significantly increased bladder weight,wall thickness,collagen fiber expression,maximum bladder capacity(MBC),post-void residual(PVR),and leakage point pressure,along with reduced bladder compliance(BC)and voiding efficiency(V%)compared with the control group(all P<.05).EA treatment significantly decreased bladder weight(P=.003),collagen deposition(P=.002),wall thickness(P=.027),MBC(P=.046),and PVR(P=.023),and increased BC(P=.048)and V%(P=.022)compared with sham EA.Ultrastructural damage in DRG neurons was markedly ameliorated by EA.TRPV1 protein expression in the DRG was significantly higher in the EA group than in the sham EA group(immunohistochemistry:P=.003;Western blot:P=.001).Conclusion:EA alleviates bladder dysfunction and remodeling in DCP rats,an effect associated with upregulated TRPV1 expression in the DRG,reduced bladder fibrosis,and preserved neuronal ultrastructure.These findings suggest a potential role for TRPV1 signaling in mediating the therapeutic effects of EA,warranting further functional investigation.
基金financially supported by the National Key Research and Development Program of China(Nos.2023YFC3904800)the National Outstanding Young Scientists Fund(No.52125002)+6 种基金the National Science Foundation of China(No.22476073 and U24A20194)the Key Project of Jiangxi Provincial Research and Development Program(Nos.20223BBG74006and 20243BBI91001)the Jiangsu Special Fund on Technology Innovation of Carbon Dioxide Peaking and Carbon Neutrality(No.BT2024011)the China Postdoctoral Science Foundation(Nos.2024M751282 and 2025T180353)the“Thousand Talents Program”of Jiangxi Province(S2021GDQN2161)the Key Project of Ganzhou City Research and Development Program(No.2023PGX17350)the Key Laboratory of Jiangxi Province for Functional Biology and Pollution Control in Red Soil Regions(No.2023SSY02051)。
摘要Recovering LiFePO4 extraction slag(LES)-the FePO4-rich residue formed after Li leaching from spent LiFePO4-has become pivotal to minimizing resource losses,mitigating environmental risks,and advancing circularity in lithium-ion battery value chains.However,integrative frameworks that link closed-loop routes(returning to battery precursors/cathodes)with non-closed-loop upcycling are still limited,constraining process optimization and scale-up.This review synthesizes current progress in LES recycling with emphasis on maximizing recovery efficiency and product value.In closed-loop pathways,hydrometallurgical purification removes impurities to yield battery-grade FePO4 as an LiFePO4 precursor,while direct relithiation(e.g.,solid-state sintering aided by Li sources and reductants)restores Li and reduces Fe3+to Fe2+,thereby regenerating LiFePO4 cathodes from LES.In non-closed-loop pathways,compositionally guided upcycling converts LES into advanced materials(e.g.,high-performance electrodes,highcapacity adsorbents),thereby broadening the techno-economic value propositions.We also distill lessons from early industrial practice,identifying constraints arising from feedstock variability,energy-cost coupling(thermal/chemical utilities),and product-quality assurance(battery-grade specifications).Finally,we map research directions-including data-driven feed characterization and process control,defecthealing relithiation strategies and interfacial engineering,quality grading and market pathways,and multi-scenario deployment-to enhance the technical and economic sustainability of LES recycling and accelerate its contribution to a circular battery economy.
基金financially supported by the National Natural Science Foundation of China(42250102,42250101)the Macao Foundation and Macao Science and Technology Development Fund(0001/2019/A1)the Pre-research Project on Civil Aerospace Technologies funded by China National Space Administration(D020303)。
摘要This study presents preliminary results of tidal-induced magnetic field signals extracted from 9 months of data collected by the Macao Science Satellite-1(MSS-1) from November 2023 to July 2024. Tidal signals were isolated using sequential modeling techniques by subtracting non-tidal field model predictions from observed magnetic data. The extracted MSS-1 results show strong agreement with those from the Swarm and CryoSat satellites. MSS-1 effectively captures key large-scale tidal-induced magnetic anomalies, mainly due to its unique 41-degree low-inclination orbit, which provides wide coverage of local times. This finding underscores the strong potential of MSS-1 to recover high-resolution global tidal magnetic field models as more MSS-1 data become available.
基金supported by the National Natural Science Foundation of China(Grant Nos.42474200 and 42174186)Chao Xiong is supported by the Dragon 6 cooperation 2024-2028(Project No.95437).
摘要In this study,we present a comprehensive evaluation of the magnetic field measurements from the Vector Field Magnetometer(VFM)aboard the recently launched Macao Science Satellite-1(MSS-1).One-year data from November 2,2023,to November 1,2024,are considered.The MSS-1 flies with a low inclination(41°)and is designed to provide high-resolution magnetic field measurements,especially for monitoring the evolution of the South Atlantic Anomaly.Earlier studies confirmed the possibility of using MSS-1A data to model the Earth’s main magnetic field(e.g.,Jiang Y et al.,2024).Therefore,in this study we focus on the magnetic signatures related to the external field,which are primarily associated with magnetospheric and ionospheric currents.The global distributions of the magnetic residuals from MSS-1A show a pattern consistent with that derived from the European Space Agency’s Swarm A satellite.A statistical survey of the conjugated observations(withΔt<5 min andΔR<150 km)between the two satellites showed that the difference between their magnetic residuals is within±3 nanoteslas.By separating the magnetic residuals at the noon and midnight hours,we see that the MSS-1A data can effectively capture features of the magnetospheric and ionospheric currents,such as the magnetospheric ring current and ionospheric equatorial electrojet.Moreover,the magnetic residuals from MSS-1A show a diamagnetic effect caused by post-sunset equatorial plasma bubbles,which also suggests that the MSS-1A data have the potential to reveal the ionospheric structures.The comprehensive evaluations performed within this study demonstrate that the MSS-1A provides high-quality magnetic field data reaching the level of the Swarm satellite,which enables a deeper understanding of the modeling of Earth’s magnetic field as well as monitoring of the magnetic environment.
基金financially supported by the National Natural Science Foundation of China(42250102,42250101)the Macao Foundation.
摘要Water content, whether as free or lattice-bound water, is a crucial factor in determining the Earth's internal thermal state and plays a key role in volcanic eruptions, melting phenomena, and mantle convection rates. As electrical conductivity in the Earth's interior is highly sensitive to water content, it is an important geophysical parameter for understanding the deep Earth water content. Since its launch on May 21, 2023, the MSS-1(Macao Science Satellite-1) mission has operated for nearly one year, with its magnetometer achieving a precision of higher than 0.5 nT after orbital testing and calibration. Orbiting at 450 kilometers with a unique 41-degree inclination, the satellite enables high-density observations across multiple local times, allowing detailed monitoring of low-latitude regions and enhancing data for global conductivity imaging. To better understand the global distribution of water within the Earth's interior, it is crucial to study internal conductivity structure and water content distribution. To this aim, we introduce a method for using MSS-1 data to estamate induced magnetic fields related to magnetospheric currents. We then develop a trans-dimensional Bayesian approach to reveal Earth's internal conductivity, providing probable conductivity structure with an uncertainty analysis. Finally, by integrating known mineral composition, pressure, and temperature distribution within the mantle, we estimate the water content range in the mantle transition zone, concluding that this region may contain the equivalent of up to 3.0 oceans of water, providing compelling evidence that supports the hypothesis of a deep water cycle within the Earth's interior.
基金supported by the National Key R&D Program of China(Grant2022YFF0503700)the National Natural Science Foundation of China(42474200 and 42174186)。
摘要The Macao Science Satellite-1(known as MSS-1)is the first scientific exploration satellite that was designed to measure the Earth's low latitude magnetic field at high resolution and with high precision by collecting data in a near-equatorial orbit.Magnetic field data from MSS-1's onboard Vector Fluxgate Magnetometer(VFM),collected at a sample rate of 50 Hz,allows us to detect and investigate sources of magnetic data contamination,from DC to relevant Nyquist frequency.Here we report two types of artificial disturbances in the VFM data.One is V-shaped events concentrated at night,with frequencies sweeping from the Nyquist frequency down to zero and back up.The other is 5-Hz events(ones that exhibit a distinct 5 Hz spectrum peak);these events are always accompanied by intervals of spiky signals,and are clearly related to the attitude control of the satellite.Our analyses show that VFM noise levels in daytime are systematically lower than in nighttime.The daily average noise levels exhibit a period of about 52 days.The V-shaped events are strongly correlated with higher VFM noise levels.
基金funded by NSFC under grants 12250014, 42250101 and 12403068supported by youth funding of Jiangsu province BK20241707+1 种基金supported by the Macao FoundationXinjiang Uygur Autonomous Region for the support through “Tianchi Talent” special expert project。
摘要Strong flares and/or coronal mass ejections(CMEs) could bring us disastrous space weather,destroy crucial technology in space,and cause a large-scale blackout during some extreme cases.They frequently cause geomagnetic storms,which is a sudden disturbance of the Earth's magnetosphere.It is well accepted that CMEs play a dominant role in causing geomagnetic storms by a direct impact,but it is still not very clear regarding their association with solar flares.The association would be helpful for forecasting geomagnetic storms directly from flares,which are much easier to observe.The Macao Science Satellite-1(MSS-1) mission,with the scientific aim of studying the origin and evolution of the geomagnetic field,is able to accurately measure the vector geomagnetic field.Besides,it measures rapid spectral evolution of the solar X-ray irradiance of solar flares.In this study,we analyzed measurements by MSS-1 during a series of X-class flares in October of 2024,and saw the relationship between the flares and the associated geomagnetic storms.The observations support that the major geomagnetic storms tend to be associated with flares' duration in addition to flare class.We also find that long duration ones have radiated more energy in the extreme ultraviolet waveband.Being equally important,our results show that the magnetic fields measured by MSS-1,especially its external(e10) coefficient,can well be used for monitoring the geomagnetic disturbance.
基金the National Natural Science Foundation of China(71232006,61233001)Ministry of Science and Technology of China(2018AAA0101502)Beijing Tiantan Hospital,and Zhongke Smart Healthcare Inc.for their support of Parallel Medicine and Parallel Hospitals since 2013.
摘要AS Artificial Intelligence(AI)is impacting medical science and practice rapidly and profoundly[1],people wonder what future patients,doctors,treatments,hospitals,and medical colleges would look like after Large Language Models(LLMs)and AI Agents?We would like to share our experiences and thoughts from our projects in parallel intelligence for medicine and hospitals since 2013[2]–[4].
基金financially supported by the National Key Research and Development Program(2024YFE0201200)the National Natural Science Foundation of China(Nos.52525311,52373148,52401305,82561160101)the Sichuan Science and Technology Program(2024NSFSC1659)。
摘要Dental caries,a highly prevalent oral disease,is primarily driven by pathogenic biofilms;however,current antimicrobials exhibit limited efficacy and poor specificity against cariogenic biofilms.Although nanobiocatalysts that can produce reactive oxygen species represent a promising alternative to conventional antimicrobials,most current designs fail to achieve robust bacterial interaction and exhibit insufficient disruption of biofilm integrity.To address these challenges,we report the de novo design of phage-inspired artificial peroxidases(IrNC@TiO2)featuring a robust sub-nanometer cluster site and urchin-like topography,which enables efficient oral biofilm elimination and dental caries prevention.Structural characterization confirmed that sub-nanometer Ir clusters are stably anchored to the TiO2support via Ir–O coordination.Leveraging the robust enzymatic activity of Ir clusterzymes and the topological advantages of the spiky substrate,IrNC@TiO2exhibits potent multi-enzyme mimetic activity,generating substantial amounts of·O2-and HClO to effectively capture and eradicate planktonic Streptococcus mutans and suppress biofilm formation.In a caries model,IrNC@TiO2significantly inhibited tooth surface biofilm development,prevented enamel demineralization,and reduced caries incidence.The material also demonstrated negligible cytotoxicity and outperformed conventional non-abrasive additives in tooth-whitening assays.This work introduces a robust and efficient ROS-generating platform for oral health care and proposes a promising solution for clinical caries prevention.
基金funded by Science and Technology Development Fund(FDCT),Macao SAR(file Nos.0199/2024/AGJ,0120/2024/RIA2).
摘要This article examines wafer lots scheduling in the diffusion area in semiconductor manufacturing.The diffusion area comprises multiple tool groups.Each of them contains non-identical semiconductor tools.All tools can process multiple wafer lots simultaneously,and wafer lots processed together in a tool are called a wafer batch.Besides,each wafer lot has specific queue time limits(QTLs)between consecutive processing operations,making the scheduling problem more complicated.To solve it,a discrete backtracking search optimization algorithm(DBSA)is designed for optimizing both wafer lot assignments and wafer batch processing sequences.Once the processing sequence of wafer batches at each tool is determined,a linear program(LP)is built to obtain optimal starting and completion time points of wafer batches while satisfying QTLs.If a schedule is examined to have no feasible solution by the LP,a proposed approach is used to regroup wafer lots to form wafer batches and adjust their processing sequences to potentially make it feasible.Extensive experiments show that DBSA reliably produces feasible schedules and outperforms GA,MixPSO,and GWO,with up to 17.75%,19.19%,and 9.21%reductions in average cycle time,respectively,demonstrating its superiority in both solution quality and practical applicability.
基金supported by the Science and Technology Development Fund,Macao SAR,China(Nos.0033/2022/AFJ and 0011/2023/AMJ)Guangdong Basic and Applied Basic Research Foundation(No.2023A1515012017).
摘要With the rapid development of aviation industry and its increasing impact on the global climate change,the contributions of carbon emissions frominternational flights are attracting more and more attention worldwide.This study,taking Macao as the aviation hub,established the cross-border aviation carbon emission evaluation model to explore dynamic carbon emissions and net-zero path of international flights.The aviation hubmainly covers 58 routes and five types of civil aircraft from 12 countries or regions during 2000-2022.The results show that the aviation transportation in Macao emitted about 1.44 million tons CO2eq in 2019,which is high 3.6 times that of 2000.The COVID-19 has led to a rapid decline in aviation carbon emissions in a short period of time,carbon emissions in 2020 decreased by 80%compared to 2019.In terms of cumulative carbon emissions from 2000 to 2019,the A321 and A320 Airbus contribute to 80%of carbon emissions.And the Chinese mainland(37%)and Taiwan(29%)are the main sources of emissions.In 2000-2019,the proportion of carbon emissions from China(including Taiwan and Hong Kong)decrease from 91%to 53%,while the contribution from Southeast Asia(from 5% to 26%),Japan and South Korea(from 2% to 19%)keep the growth trends.In the optimal scenario(B3C3),net zero emissions of cross-border aviation in Macao can be not achieved,and there is still only by removing 0.3 million tons CO2eq.Emission reduction technology and new energy usage are priorities for the aviation emission reduction.
基金funded by the Science and Technology Development Fund of Macao Special Administrative Region(Grant No.0009/2024/RIB1)the Guangdong Major Project of Basic and Applied Basic Research(Grant No.2020B0301030004).
摘要Persistent severe rainfall(PSR)events,defined as regional-scale rainfall processes with daily precipitation no less than 50 mm for at least three consecutive days,frequently occur over South China(SC)and the middle-to-lower Yangtze River Basin(MLYRB),with distinct dynamic mechanisms and moisture conditions in the two regions.Based on daily precipitation observations from China’s national meteorological stations and ERA5 reanalysis during 2012-21,this study investigates the spatiotemporal distribution of PSR events in SC and MLYRB and their associated three-dimensional circulation dynamics.The analysis integrates diagnostics of 200 hPa wave activity flux,perturbation streamfunction,500 hPa geopotential height,850 hPa wind fields,and integrated water vapor transport.Results show that PSR events in SC mainly occur during May-June,with rainfall centers over coastal and central Guangdong and Guangxi.In contrast,MLYRB events peak during June-July,with a banded rainfall pattern along the middle-to-lower Yangtze River.Dynamical diagnostics indicate that,in SC,sustained northwest-southeast propagation of 200 hPa disturbances,the southward shift of the 500 hPa trough,and steady subtropical high maintenance provide continuous dynamical support.Concurrently,strong and persistent 850 hPa southwesterlies and long-lasting moisture transport form favorable moisture conditions.In contrast,MLYRB events are marked by rapid phase transitions of 200 hPa streamfunction anomalies and northward-westward expansion of the 500 hPa subtropical high,triggering intense rainfall development.Simultaneously,abrupt enhancement of 850 hPa southwesterlies and rapid formation of a southwest moisture corridor ensure abundant and timely moisture supply,facilitating PSR onset.
基金Supported by Sichuan Science and Technology Department 2020 Project,No.2020YFS0426Sichuan Medical Association Scientific Research Project,No.WT2025RXSN01。
摘要BACKGROUND Clinical psychological nursing plays a vital role in clinical practice,and“mental health nurses”face greater stress than general nurses.Assessing the stress responses of“psychological nurses”during the implementation of psychological care and developing corresponding stress reduction strategies will enhance their capacity for stress management.AIM To explore the effect of pressure adjustment on mental health nurses in graded psychological nursing departments of general hospitals and to enhance their stress-coping ability through the Stress Management and Resiliency Trainingclinical(SMART-C)program.METHODS A total of 40 mental health nurses engaged in graded psychological nursing assessment and implementation in a hospital-wide pilot department from January 2019 to June 2020 were enrolled.The SMART-C stress management training was implemented,and stressors and psychosomatic responses were compared before and after the intervention.RESULTS Before mental health nursing participated in group training,the psychological stressor assessment results showed that“task”stress was significantly higher than“responsibility”stress,and“interpersonal”stress was close to the domestic norm.After 8 weeks of SMART-C stress management training,the“responsibility”and“task”stress decreased significantly.Before the implementation of the plan,stomachaches,headaches,and sleep issues were the three most severe physical symptoms troubling mental health nurses.The self-rated psychological stress and somatic symptom scores among the mental health nurses decreased significantly following SMART-C training.CONCLUSION SMART-C stress management training can improve stress-adjustment ability and reduce adverse somatic reactions in mental health nurses.
基金supported by the Natural Science Foundation of Chongqing,China(Grant CSTB2023NSCQ-LZX0068)Science and Technology Research Program of Chongqing Education Commission of China(Youth Project-KJQN202401159)Scientific Research Foundation of Chongqing University of Technology(Grant 2023ZDZ022).
摘要Discovering meaningful face morphing is critical for applications in image synthesis.Traditional unsupervised methods rely on global or layer-wise representations,neglecting finer local details and thus limiting the control over specific facial attributes.In this work,we introduce an improved unsupervised approach that leverages contrastive learning and K-means clustering to learn both layer-wise and local features(LLF)in the latent space of StyleGAN.Our method segments latent representations into multiple local components across different layers,enabling fine-grained control over attributes such as hair,eyes,and mouth.Experimental results demonstrate that LLF outperforms existing methods by providing more interpretable facial transformations while preserving high image realism,offering a promising solution for enhanced unsupervised face morphing applications.The code is available at http://gffzz188fe103f8f1460asqkpuxpv06uqv6xxc.ffgz.tsg.suse.edu.cn/disanda/LLF.
基金supported by the National Natural Science Foundation of China (12250012,42250101)the Macao Foundation。
摘要The core-surface flow is crucial for understanding the dynamics of the Earth's outer core and geomagnetic secular variations.Conventional core flow models often use a single set of spherical harmonic coefficients to represent the flow both inside and outside the tangent cylinder,inherently imposing continuity across the tangent cylinder around the solid inner core.To address this limitation,we present a core-surface flow inversion framework based on physics-informed neural networks.This framework employs distinct neural network representations for the flow inside and outside the tangent cylinder,allowing for discontinuities as the flow crosses the tangent cylinder.Additionally,it incorporates secular acceleration data to constrain the temporal evolution of the core flow.Using this inversion framework,we derive a new core-surface flow model spanning 2001 to 2024 from a geomagnetic model,incorporating the latest magnetic data from Swarm satellites and Macao Science Satellite-1.The recovered model reveals persistent large-scale circulation linked to westward drift,significant temporal variations in the equatorial Pacific,and distinct jet-like structures at the poles.The inversion also reveals a large-scale wave pattern in equatorial azimuthal flow acceleration,corresponding to observed geomagnetic jerks and likely resulting from quasi-geostrophic magneto-Coriolis waves.Additionally,the framework infers small-scale magnetic fields at the core-mantle boundary,highlighting split flux concentrations and localized high-latitude patches.
摘要The Macao Science Satellite-1(MSS-1)is the first space science satellite jointly developed on the Chinese mainland and in Macao region.It comprises two satellites,named MSS-1A and MSS-1B,and holds considerable importance in China’s space exploration endeavors.Among these,MSS-1A is the world’s first high-precision scientific satellite dedicated to exploring the geomagnetic field and space environment at low latitudes.Equipped with two high-precision vector magnetometers and one scalar magnetometer,which are integrally installed on a highly stable nonmagnetic optical bench,the MSS-1A enables simultaneous high-precision measurements of both the Earth’s vector magnetic field and its scalar components.Its design integrates several state-of-the-art technologies,including arc-second-level thermal stability control,nonmagnetic thermal control for the optical bench,and ultra-high magnetic cleanliness control.These innovations effectively minimize magnetic interference originating from the satellite itself,thereby substantially improving the precision of geomagnetic field measurements and establishing a robust technical foundation for future magnetic survey satellite constellations.
基金Supported by the National Natural Science Foundation,No.82305376the Youth Talent Support Project of the China Acupuncture and Moxibustion Association,No.2024-2026ZGZJXH-QNRC005+1 种基金the 2024 Jiangsu Province Youth Science and Technology Talent Support Project,No.JSTJ-2024-380Jiangsu Science and Technology Think Tank Program Project,No.2025-20-35.
摘要Obesity,a global epidemic,is closely linked to metabolic complications like insulin resistance and type 2 diabetes.Pancreatic dysfunction(impaired islet secretion and local inflammation)is central to this deterioration,yet the underlying mechanisms remain unclear.Pancreatic macrophages regulate tissue inflammation and metabolic homeostasis,but their context-specific polarization in obesity is undefined.This review discusses the role of triggering receptor expressed on myeloid cells 2(TREM2)in modulating pancreatic macrophage behavior in the context of obesity,based on findings from diet-induced obese mouse models and ex vivo pancreatic analyses.Emerging evidence indicates that TREM2 expression is markedly upregulated in pancreatic macrophages of obese subjects,where TREM2-driven macrophage activation promotes pro-inflammatory cytokine release and disrupts macrophage-islet β-cell crosstalk.Transcriptomic profiling reveals that TREM2 signaling reshapes macrophage transcriptional landscapes,enhancing proinflammatory phenotypes while impairing islet-supporting capacity.Notably,macrophage-specific TREM2 ablation has been shown to ameliorate pancreatic inflammation,restore islet insulin secretion,and alleviate systemic metabolic disorders in obese mice.Collectively,these findings identify TREM2 as a pivotal molecular switch governing pancreatic macrophage-mediated metabolic dysfunction in obesity,highlighting TREM2+pancreatic macrophages as a potential therapeutic target.These findings advance the understanding of immunemetabolic crosstalk in the pancreas,laying a foundation for developing novel immunometabolic interventions.
基金supported by the National Natural Science Foundation of China (42250101)the Macao Foundation. The computation made use of the high-performance computing resources at the center of the MSS data processing and analysis。
摘要Accurate modeling of Earth's ionospheric F-region currents is essential for refining geomagnetic field models and understanding magnetosphere-ionosphere coupling.In this study,we develop averaged models to characterize F-region currents using magnetic data from the MSS-1(Macao Science Satellite-1) and Swarm satellite missions.Our approach employs a toroidal field representation,utilizing spherical harmonics to capture spatial variations and Fourier series to represent temporal dynamics.Two models,Model-A and Model-B,derived from distinct datasets,are constructed to represent current patterns at altitudes of 450 km and 512 km,respectively.Our models successfully capture the primary spatial structures and seasonal variations of polar field-aligned currents.Additionally,they accurately reproduce the localized inter-hemispheric field-aligned currents observed in mid and low latitudes during solstices,particularly between 14:00 and 16:00 magnetic local times.These findings enhance our understanding of ionospheric F-region currents and contribute to more precise geomagnetic field modeling.