Climate model prediction has been improved by enhancing model resolution as well as the implementation of sophisticated physical parameterization and refinement of data assimilation systems[section 6.1 in Wang et al.(...Climate model prediction has been improved by enhancing model resolution as well as the implementation of sophisticated physical parameterization and refinement of data assimilation systems[section 6.1 in Wang et al.(2025)].In relation to seasonal forecasting and climate projection in the East Asian summer monsoon season,proper simulation of the seasonal migration of rain bands by models is a challenging and limiting factor[section 7.1 in Wang et al.(2025)].展开更多
The synergistic innovation of nanoscale optical fabrication and characterization technologies holds the key to overcoming three-dimensional(3D)precision manufacturing bottlenecks.This study reports the novel self-repo...The synergistic innovation of nanoscale optical fabrication and characterization technologies holds the key to overcoming three-dimensional(3D)precision manufacturing bottlenecks.This study reports the novel self-reporting functionality of 7-diethylamino-3-thenoylcoumarin(DETC)in photoresist,which serves as both a super-resolution photoinitiator and an intrinsic fluorophore with stimulated emission depletion(STED)behavior and polymerization-dependent lifetime characteristics.Through the development of an integrated system combining STED-inspired periphery photoinhibition(PPI)printing with dual-mode imaging,we achieve simultaneous in situ characterization and super-resolution quality verification.Specifically,PPI imaging demonstrates 50-nm lateral resolution for 40-nm printed lines and resolves 200-nm axial gaps when characterizing developed structures.Furthermore,in situ fluorescence lifetime imaging(FLIM)achieves nanometer-level resolution,comparable to confocal microscopy,by utilizing DETC’s lifetime shift to characterize undeveloped structures.This synergy imaging approach resolves the trade-off between resolution and non-destructive detection,while establishing a new paradigm for closed-loop optimization of complex 3D nanodevices,with profound implications for nanophotonics,precision biosensing,and ultrahigh-density optical storage.展开更多
Nociceptive pain is a cardinal feature of traumatic and inflammatory bone diseases.However,whether and how nociceptors actively regulate the immune response during bone regeneration remains unclear.Here,we found that ...Nociceptive pain is a cardinal feature of traumatic and inflammatory bone diseases.However,whether and how nociceptors actively regulate the immune response during bone regeneration remains unclear.Here,we found that neutrophil-triggered nociceptive ingrowth functioned as negative feedback regulation to inflammation during bone healing.A unique Il4ra+Ccl2high neutrophil subset drove intense postinjury TRPV1+nociceptive ingrowth,which in return dissipated inflammation by activating the production of pro-resolving mediator lipoxin A4(LXA4)in osteoblasts.Mechanistically,osteoblastic autophagy activated by nociceptor-derived calcitonin gene-related peptide(CGRP)suppressed the nuclear translocation of arachidonate 5-lipoxygenase(5-LOX)to favor the LXA4 biosynthesis.Moreover,in alveolar bone from patients with Type Ⅱ diabetes,we found diminished nociceptive innervation correlated with reduced autophagy,increased inflammation,and impaired bone formation.Activating nociceptive nerves by spicy diet or topical administration of a clinical-approved TRPV1 agonist showed therapeutic benefits on alveolar bone healing in diabetic mice.These results reveal a critical neuroimmune interaction underlying the inflammation-regeneration balance during bone repairing and may lead to novel therapeutic strategies for inflammatory bone diseases.展开更多
Spontaneous resolution is a way for constructing chiral compounds from achiral modules,but the products are usually stochastic,which is unsuitable for enantioselective applications.Herein,a pair of chiral hydrogen-bon...Spontaneous resolution is a way for constructing chiral compounds from achiral modules,but the products are usually stochastic,which is unsuitable for enantioselective applications.Herein,a pair of chiral hydrogen-bonded frameworks assembled from achiral modules was reported.By introducing reusable chiral inducers,enantiomerically enriched NKU-777-xD/xL were obtained and exhibited superior enantioselective sensing performance.Notably,the amount of chiral inducer shows a positive correlation with the enantioselective sensing function,reflecting the degree of enantiomeric excess of NKU-777-xD/xL.Molecular-level mechanism studies reveal that competitive absorption governs the sensing functions of NKU-777-xD/xL,and the enantioselectivity is due to the enantioselective interactions of the hydrogenbonded frameworks with targeting chiral molecules.This work not only provides a facile way to synthesize enantiomerically enriched chiral hydrogen-bonded frameworks from achiral modules using reusable chiral inducer but also gains insights into the inducer-controlled enantiomerically enriched chiral compounds for enantioselective applications.展开更多
Low spatial resolution(LR)remote sensing data is widely adopted because of its lower cost,although its limited analytical precision constrains its full use in precision agriculture.By contrast,the acquisition of high ...Low spatial resolution(LR)remote sensing data is widely adopted because of its lower cost,although its limited analytical precision constrains its full use in precision agriculture.By contrast,the acquisition of high spatial resolution(HR)data often requires substantial expense.To address this limitation,this study proposes an unsupervised degradation-aware multi-channel super-resolution network(UDAMSR)to enhance LR spectral images without requiring paired HR-LR training data.The main contributions are as follows:(1)the original framework is extended with dedicated queue and reconstruction layers to process multispectral and hyperspectral image(HIS)cubes,and a contrast-learning-based degradationaware module is integrated to address unknown real-world degradation;(2)comprehensive evaluation is conducted using image quality metrics,spectral consistency analysis,and performance in crop remote sensing tasks,such as chlorophyll content estimation;(3)the generalization capability of the model is assessed using data from three imaging devices,two spatial scales(near-ground and unmanned aerial vehicle(UAV)),and two geographic regions.The results show that the proposed method achieves the best overall performance in the comprehensive evaluation,with a mean peak signal-to-noise ratio(PSNR)of 32.78,a mean root mean squared error(RMSE)of 6.93,a mean structural similarity index of(SSIM)0.89,and a mean spectral angle mapper(SAM)of 0.131.The method effectively reduces the degradation in chlorophyll detection accuracy caused by spatial resolution reduction.The evaluation of generalization capability further shows that the proposed method demonstrates strong generalization across different spatial scales,geographic regions,devices,and data types.These results indicate that UDAMSR provides a robust,efficient,and cost-effective software solution that can compensate for hardware limitations and support high-quality crop phenotyping detection in diverse application scenarios.展开更多
The impact of resolution on the large-scale features in an ocean-sea ice coupled model(CAS-LICOM3)is communicated in this paper through three aspects.First,a refined resolution accelerates temperature and salinity dri...The impact of resolution on the large-scale features in an ocean-sea ice coupled model(CAS-LICOM3)is communicated in this paper through three aspects.First,a refined resolution accelerates temperature and salinity drifts at a basin-averaged scale by facilitating exchanges among basins,subsequently reducing global-averaged drifts.This amplification of basin-scale exchanges is associated with an accelerated large-scale circulation,leading to a more rapid equilibration of temperature and salinity near 200 meters.Second,the refined resolution yields improved simulations of large-scale temperature,salinity,and currents,particularly evident in regions such as the Gulf Stream and its extension.Positive feedback mechanisms,such as improved undercurrents and a stronger Atlantic Meridional Ocean Circulation(AMOC),enhance temperature and salinity distributions,further improving the large-scale circulation.Subsurface improvements near 300 m are linked to improved simulations of equatorial undercurrents,Gulf Stream dynamics,and the Deep Western Boundary Current,leading to a more realistic representation of AMOC and high-latitude deep-water formation.However,limitations in vertical resolution may obscure finer-scale improvements in subsurface and deep-ocean processes.Despite having little impact on the temporal variability of phenomena such as ENSO,Indian Ocean Dipole(IOD),PDO,and AMO,the refined resolution enhances the strengths of their variabilities.展开更多
Tomographic volumetric bioprinting(TVBP)is an emerging transformative technology in bio-manufacturing,distinguished by two exceptional capabilities:ultrafast fabrication(centimeter-scale constructs within tens of seco...Tomographic volumetric bioprinting(TVBP)is an emerging transformative technology in bio-manufacturing,distinguished by two exceptional capabilities:ultrafast fabrication(centimeter-scale constructs within tens of seconds)and unique compatibility with ultra-soft bioinks(<102Pa).Despite its potential,TVBP remains in its infancy because of significant hurdles.These include the need to adapt conventional photocurable bioinks to TVBP’s unique photopolymerization requirements and achieve sufficient resolution to replicate intricate multicellular structures.Therefore,this review outlines strategies to address these challenges,delving into(1)the development of suitable bioinks,(2)printing resolution optimization,and(3)rapid construction of complex biological structures and functions.Furthermore,the fundamental principles and evolution of projection slicing algorithms are explored,and the latest advancements in TVBP applications are summarized.Finally,we explore the future trajectory of this promising bio-manufacturing technology.展开更多
To address the challenges of complex fluvial sandbody distribution and difficult remaining oil recovery in mature continental oilfields,this study focuses on key issues in reservoir identification such as ambiguous na...To address the challenges of complex fluvial sandbody distribution and difficult remaining oil recovery in mature continental oilfields,this study focuses on key issues in reservoir identification such as ambiguous narrow-channel boundaries and subdivision of multi-stage superimposed sandbodies.Taking the Upper Cretaceous continental sandstone in the Sazhong Oilfield of the Daqing Placanticline as an example,a technical system integrating OVT high-resolution processing,multi-attribute fusion,and varible-scale inversion was developed to establish a complete workflow from seismic processing to reservoir prediction and remaining oil recovery.The following results are obtained.First,the Offset Vector Tile(OVT)seismic processing technology is extended,for the first time,from fracture imaging to sandbody prediction,in order to address the weak seismic responses from boundaries of narrow and thin sandbodies.A geology-oriented OVT partitioning method is developed to significantly improve the imaging accuracy,enabling identification of channel sandbodies as narrow as 50 m.Second,an amplitude-coherence dual-attribute fusion method is proposed for predicting narrow channel boundaries between wells.Constrained by a sedimentary unit-level sequence chronostratigraphic framework,this method accurately delineates 800-2000 m long subaqueous distributary channels with bifurcation-convergence features.Third,considering the superimposition of multi-stage channels,a three-level variable-scale stratigraphic model(sandstone groups,sublayers,sedimentary units)is constructed to overcome single-scale modeling limitations,successfully characterizing key sedimentary features like meandering river“cut-offs”through 3D seismic inversion.Based on these advances,a direct link between seismic prediction and remaining oil recovery is established.The horizontal wells deployed using narrow-channel predictions encountered oil-bearing sandstones in the horizontal section by 97%,and achieved initial daily production of 12.5 t per well.Precise identification of individual channel boundaries within 17 composite sandbodies guided recovery processes in 135 wells,yielding an average daily increase of 2.8 t per well and a cumulative increase of 13.6×104t.展开更多
Conventional deconvolution methods improve seismic resolution at the cost of reduced signal-tonoise ratio(SNR),limiting the accuracy of high-frequency signal recovery.To address this issue,this paper proposes a high-r...Conventional deconvolution methods improve seismic resolution at the cost of reduced signal-tonoise ratio(SNR),limiting the accuracy of high-frequency signal recovery.To address this issue,this paper proposes a high-resolution processing method based on low-dimensional manifold constraints.First,datadriven manifold learning is employed to construct neighborhood relationships and characterize the distribution of high-dimensional seismic records in low-dimensional manifold space.Then,manifold information is incorporated into the regularization framework of high-resolution inversion to establish a multi-channel inversion objective function with low-dimensional manifold constraints.Finally,an iterative optimization strategy is applied for simultaneous multi-channel inversion of reflection coefcient sequences.By introducing spatial correlation of seismic signals into the high-resolution processing workflow,this method effectively suppresses noise interference in high-frequency signal recovery.Both synthetic and eld data tests demonstrate that the proposed method maintains superior SNR while enhancing resolution,improving the characterization accuracy of thin-layer hydrocarbon reservoirs.展开更多
In complex media scattering,multiple scattering severely degrades the optical wavefront and results in blurred images,while the spectral distortion caused by the scattering effect leads to severe color distortion.Achi...In complex media scattering,multiple scattering severely degrades the optical wavefront and results in blurred images,while the spectral distortion caused by the scattering effect leads to severe color distortion.Achieving color high-resolution imaging through scattering media remains a significant challenge.Here,we propose a broadband,polarization-based method for color high-resolution imaging through scattering media.This approach enables high-resolution reconstruction by effectively separating the speckle illumination pattern from the mixed-scattering field information,leveraging polarization common-mode characteristics.Concurrently,it incorporates chromatic balance compensation to correct spectral aliasing in the scattered light field,enabling color high-resolution imaging through complex scattering media.To further optimize color distortion caused by scattering,a compensation strategy combining color constancy and white balance theory is adopted.Experimental results demonstrate that the proposed method significantly enhances both spatial resolution and color fidelity across various scattering conditions and target materials,showcasing strong adaptability and robustness.This approach provides an effective solution for achieving high-resolution color optical imaging in complex scattering environments.展开更多
Asymmetric reduction of unsaturated compounds via dynamic kinetic resolution(DKR)has significantly enhanced the efficiency and selectivity of synthesizing enantiomerically pure compounds from racemic substrates.This a...Asymmetric reduction of unsaturated compounds via dynamic kinetic resolution(DKR)has significantly enhanced the efficiency and selectivity of synthesizing enantiomerically pure compounds from racemic substrates.This approach combines the simultaneous racemization of substrates with enantioselective reduction,enabling quantitative yields and high enantiomeric excess.In the past several years,remarkable advances in this field have been achieved,ranging from the development of innovative catalytic systems,novel synthetic strategies,expansion of substrate scope,deeper mechanistic understanding,and their applications.These advancements offer alternative and efficient methods in the asymmetric synthesis of chiral molecules bearing multiple consecutive stereogenic centers,particularly beneficial for the synthesis of natural products or chiral intermediates in pharmaceuticals and fine chemicals.In this review,we summarize the recent advances during the last several years according to the substrate types in this powerful and productive field,with an emphasis on the development of new catalytic systems and the insight into the DKR process.展开更多
We present the contribution of x-ray incident-position dependence on the absorber to the energy resolution of Ti/Au transition-edge sensors(TESs).The pulse height varies with the position due to insufficient thermal c...We present the contribution of x-ray incident-position dependence on the absorber to the energy resolution of Ti/Au transition-edge sensors(TESs).The pulse height varies with the position due to insufficient thermal conductivity and geometry of the absorber that degrades the measured energy resolution.We develop a three-dimensional(3D)electrothermal simulation model and thoroughly study the position dependent contribution to energy resolution(ΔEp)for two presentative absorber structures:an absorber directly deposited on the center of TES sensor(design A)and an absorber cantilevered on the TES sensor by several stems(design B).For design A with a 30μm×40μm Au absorberΔEpis found to be 9.4 eV,while it is reduced to 1.35 eV for design B with a 100μm×100μm Au absorber.Although the contribution of position dependence is relatively small,this study facilitates further optimization of the absorber structure to achieve enhanced energy resolution.展开更多
Incorporating perovskite nanocrystals(PNCs)in the glass matrix has been demonstrated to be an effective route to improve their stability for long-term operation.However,simultaneously achieving high luminance and high...Incorporating perovskite nanocrystals(PNCs)in the glass matrix has been demonstrated to be an effective route to improve their stability for long-term operation.However,simultaneously achieving high luminance and high photoluminescence(PL)quantum yield(QY)is challenging.Herein,we report a strategy that employs fluoride ion doping to modify the three-dimensional glass network,thereby optimizing the crystallization behavior of PNCs and achieving both high luminance and high PLQY in full-spectrum.Leveraging these high-performance transparent composites,we constructed a dynamic holographic multicolor display system by integrating with a spatial light modulator(SLM),achieving a pixel density as high as 20,247 pixels per inch(PPI).We further propose a vertically stacked,multilayer full-color display architecture that overcomes the limitations of color filters in light-utilization efficiency and the bottlenecks of conventional planar sub-pixel layouts in terms of spatial utilization and resolution.展开更多
Precise Orbit Determination(POD)of Low Earth Orbit(LEO)satellites is critical for Earth and space science applications.Reduced-Dynamic Orbit Determination(RDOD)achieves centimeter-level accuracy by absorbing unmodeled...Precise Orbit Determination(POD)of Low Earth Orbit(LEO)satellites is critical for Earth and space science applications.Reduced-Dynamic Orbit Determination(RDOD)achieves centimeter-level accuracy by absorbing unmodeled forces through pseudo-stochastic parameters,but sacrifices physical consistency and limits predictive capability.Dynamic Orbit Determination(DOD)explicitly models temporal force variations,enabling consistent orbits and high-resolution gravity field recovery,yet remains less precise due to unresolved Global Positioning System(GPS)carrier-phase ambiguities.This study proposes an Integer Ambiguity Resolution(IAR)-enhanced DOD framework to overcome this limitation.Using GRACE Follow-On data,the method yields dynamic orbits with sub-2 cm accuracy,and IAR further reduces discrepancies to~1 cm,comparable to leading RDOD solutions.Independent validations yield 1 cm residuals from Satellite Laser Ranging and 0.3 cm from K-band Ranging systems.Furthermore,24-h autonomous forward propagation driven by accelerometer data confirms improved navigation feasibility,with the IAR solution reducing Three-Dimensional(3D)Root-Mean-Square(RMS)errors to~63 cm compared with~82 cm for the Float solution.In monthly gravity field recovery,IAR remains consistent with Float up to degree and order 20,while higher degrees show increasing discrepancies linked to GPS phase residuals,warranting further investigation of systematic errors.展开更多
The pseudo-two-dimensional(P2D)model plays an important role in exploring physicochemical mechanisms,predicting the state of health,and improving the fast charge capability for Li-ion batteries(LIBs).However,the fast ...The pseudo-two-dimensional(P2D)model plays an important role in exploring physicochemical mechanisms,predicting the state of health,and improving the fast charge capability for Li-ion batteries(LIBs).However,the fast charge leads to the lithium concentration gradient in the solid and electrolyte phases and the non-uniform electrochemical reaction at the solid/electrolyte interface.In order to decouple charge transfer reactions in LIBs under dynamic conditions,understanding the spatio-temporal resolution of the P2D model is urgently required.Till now,the study of this aspect is still insufficient.This work studies the spatio-temporal resolution for dynamic/static electrochemical impedance spectroscopy(DEIS/SEIS)on multiple scales.In detail,DEIS and SEIS with spatio-temporal resolutions are used to decouple charge transfer reactions in LIBs based on the numerical solution of the P2D model in the frequency domain.The calculated results indicate that decoupling solid diffusion requires a high spatial resolution along the r-direction in particles,decoupling electrolyte diffusion and interfacial transfer reaction requires a high spatial resolution along the x-direction,and decoupling charge transfer reactions in LIBs at an extremely low state of charge(SOC)requires an extremely high temporal resolution along the t-direction.Finally,the optimal range of spatio-temporal resolutions for DEIS/SEIS is derived,and the method to decouple charge transfer reactions with spatio-temporal resolutions is developed.展开更多
X-ray phase-contrast imaging(XPCI)provides superior sensitivity for the diagnosis of low-Z materials compared with absorption-based techniques.Betatron radiation generated by laser wakefield accelerators,which offers ...X-ray phase-contrast imaging(XPCI)provides superior sensitivity for the diagnosis of low-Z materials compared with absorption-based techniques.Betatron radiation generated by laser wakefield accelerators,which offers high photon flux,ultra-short duration,and relatively high spatial coherence,is a promising compact source for XPCI.At present,there is a lack of knowledge about how to control wakefield accelerators and realize high-quality XPCI.This study investigates the influence of gas pressure(plasma density)on betatron source characteristics and on the performance of propagation-based XPCI.Through particle-in-cell and wave-optics simulations,it explores the relationship between gas pressure and imaging characteristics such as spatial resolution and brightness and determines an optimal operation window.Experimental results confirm this optimal operation window at 40-45 psi[plasma density~(3-4)×1018cm^-3],with which a peak photon flux of 8×1012photons/sr and a contrast of 20.32%at a spatial resolution of 5μm are realized.This study demonstrates a pathway for the optimization of betatron-based XPCI,enabling synchrotron-comparable spatial resolution in a laboratory-scale setup and shows the potential of XPCI in ultrafast microscopic imaging applications.展开更多
Extracting spatio-temporal cues from neighbouring frames is challenging in video super-resolution(VSR).Although deformable alignment-based VSR methods have shown promise in aligning neighbouring frames with the refere...Extracting spatio-temporal cues from neighbouring frames is challenging in video super-resolution(VSR).Although deformable alignment-based VSR methods have shown promise in aligning neighbouring frames with the reference frame,most existing methods rely on one or a few traditional convolutions to estimate motion offsets for spatio-temporal alignment,restricting receptive field size and alignment accuracy.To address these limitations,we propose an effective spatio-temporal alignment network(ESTA-Net)for VSR.The core component of our method is the group convolution-based alignment module(GCBAM),which utilises cascaded group convolutions to learn offsets across both the original and downsampled resolutions.By employing group convolutions rather than traditional convolutions,GCBAM enables the deformable alignment to achieve a wider receptive field with lower computational cost,thereby improving the accuracy of offset estimation.Additionally,the bi-scale alignment strategy within GCBAM enhances robustness to complex and large-scale motions.Furthermore,we introduce an attention-based feature enhancement module(AFEM)to refine the aligned features,focusing on critical details to improve reconstruction quality.Extensive experiments on standard benchmarks show that our ESTA-Net achieves superior VSR performance against other advanced methods,while maintaining a good equilibrium between model size and performance.展开更多
Thanks to the high quantum efficiency,large migration lifetime,excellent X-ray absorption capability,and ease of crystal growth,perovskite scintillators have received widespread attention in recent years and have beco...Thanks to the high quantum efficiency,large migration lifetime,excellent X-ray absorption capability,and ease of crystal growth,perovskite scintillators have received widespread attention in recent years and have become highly competitive X-ray detection scintillators.Compared with traditional inorganic scintillators,the tunable structure and diverse chemical composition of perovskite scintillators are unique advantages in optimizing their scintillation performance.Fully understanding the relationship between scintillation characteristics with structure and chemical composition of perovskite scintillators is the key to achieve high-sensitivity detection and high-resolution imaging.The latest progress and future prospect of key performance indicators such as light yield and spatial resolution in perovskite X-ray indirect detection and imaging are reviewed herein.First,the basic principles of X-ray indirect detection and the key performance parameters of X-ray indirect detectors are discussed.Then,the methods to improve the light yield of perovskite scintillators are discussed from the aspects of the characteristics of perovskite materials themselves,the introduction of ion doping to adjust the perovskite structure,and the improvement of scintillation preparation processes.We further discuss how to suppress fluorescence crosstalk to improve the spatial resolution of X-ray imaging from the aspects of material size,scintillation preparation process,and scintillation structure.Finally,we emphasize the challenges that current perovskite scintillators still face and provide prospects for their future development.展开更多
Purpose:To evaluate the clinical validity of Acoustic Change Complex(ACC)measurements for diagnosing temporal resolution deficits in individuals with sensorineural hearing loss(SNHL).Methods:This study included 100 pa...Purpose:To evaluate the clinical validity of Acoustic Change Complex(ACC)measurements for diagnosing temporal resolution deficits in individuals with sensorineural hearing loss(SNHL).Methods:This study included 100 participants,divided into two groups:50 adults with normal peripheral hearing(NH),who served as the control group,and 50 adults with bilateral mild-to-moderate sensorineural hearing loss(SNHL).All participants completed both behavioral and electrophysiological Gap-in-Noise(GIN)assessments.Results:Both behavioral and electrophysiological Gap-in-Noise(GIN)assessments demonstrated significantly elevated thresholds in the SNHL group compared with the NH group.Furthermore,electrophysiological GIN thresholds were consistently lower(better)than behavioral GIN thresholds in both groups.A strong positive correlation was observed between behavioral and electrophysiological GIN thresholds.The electrophysiological GIN threshold demonstrated a sensitivity of 84%and a specificity of 90%for identifying temporal resolution deficits.Conclusion:These findings indicate that the electrophysiological Gap-in-Noise(GIN)test is a reliable objective measure for evaluating temporal resolution.Moreover,it may be particularly useful in clinical situations where behavioral assessment is not feasible.展开更多
Functionalized C-N atropisomers has become more and more attractive and found wide applications in natural products,drug molecules,as well as in chiral ligands.As a complement to asymmetric de novo ring formation and ...Functionalized C-N atropisomers has become more and more attractive and found wide applications in natural products,drug molecules,as well as in chiral ligands.As a complement to asymmetric de novo ring formation and cross C-N coupling methods,the resolution approach demonstrates uniquely advantageous,which can progressively introduce the key functional groups and generate enantiomeric excess.Herein,we have developed an enzymatic tool for the construction of difunctionalized C-N atropisomers via lipase-catalyzed desymmetrization and kinetic resolution of N-naphthol-carbazoles.Acetylacetone was found as an efficient proton donor under the catalysis of LPL311-polyester.The enantioselective deacylation process has exhibited good functional group tolerance to produce enantioenriched C-N atropisomers with good to excellent enantioselectivity,in which the pre-installed hydroxyl functionality on the naphthene ring and the hydroxyl functionality on the carbazole ring generated after hydrolysis together provide feasibility for subsequent transformations.展开更多
摘要Climate model prediction has been improved by enhancing model resolution as well as the implementation of sophisticated physical parameterization and refinement of data assimilation systems[section 6.1 in Wang et al.(2025)].In relation to seasonal forecasting and climate projection in the East Asian summer monsoon season,proper simulation of the seasonal migration of rain bands by models is a challenging and limiting factor[section 7.1 in Wang et al.(2025)].
基金supported by the National Natural Science Foundation of China(62125504,62105298,22105180,12204434,62405291,and 62505277)the National Key Research and Development Program of China(2021YFF0502700,2022YFC2403100)+2 种基金the Natural Science Foundation of Zhejiang Province(LQ22F050017,LD21F050002)Chinese Postdoctoral Science Foundation(2021M692953)the Open Foundation of State Key Laboratory of Extreme Photonics and Instrumentation,Zhejiang university.
摘要The synergistic innovation of nanoscale optical fabrication and characterization technologies holds the key to overcoming three-dimensional(3D)precision manufacturing bottlenecks.This study reports the novel self-reporting functionality of 7-diethylamino-3-thenoylcoumarin(DETC)in photoresist,which serves as both a super-resolution photoinitiator and an intrinsic fluorophore with stimulated emission depletion(STED)behavior and polymerization-dependent lifetime characteristics.Through the development of an integrated system combining STED-inspired periphery photoinhibition(PPI)printing with dual-mode imaging,we achieve simultaneous in situ characterization and super-resolution quality verification.Specifically,PPI imaging demonstrates 50-nm lateral resolution for 40-nm printed lines and resolves 200-nm axial gaps when characterizing developed structures.Furthermore,in situ fluorescence lifetime imaging(FLIM)achieves nanometer-level resolution,comparable to confocal microscopy,by utilizing DETC’s lifetime shift to characterize undeveloped structures.This synergy imaging approach resolves the trade-off between resolution and non-destructive detection,while establishing a new paradigm for closed-loop optimization of complex 3D nanodevices,with profound implications for nanophotonics,precision biosensing,and ultrahigh-density optical storage.
基金The National Natural Science Foundation of China(No.82130027,82301020,82100966)Young Elite Scientists Sponsorship Program by CAST(2024QNRC001)+5 种基金The China Postdoctoral Science Foundation(2023M732283)The National Key Research and Development Program of China(No.2023YFC2413600)The Shanghai Sailing Program(23YF1422000,21YF1424400)Innovative Research Team of High-level Local Universities in Shanghai(SHSMU-ZLCX20212400)Young Elite Scientists Sponsorship Program by CAST(2021QNRC001)Shanghai Pujiang Program(24PJD054).
摘要Nociceptive pain is a cardinal feature of traumatic and inflammatory bone diseases.However,whether and how nociceptors actively regulate the immune response during bone regeneration remains unclear.Here,we found that neutrophil-triggered nociceptive ingrowth functioned as negative feedback regulation to inflammation during bone healing.A unique Il4ra+Ccl2high neutrophil subset drove intense postinjury TRPV1+nociceptive ingrowth,which in return dissipated inflammation by activating the production of pro-resolving mediator lipoxin A4(LXA4)in osteoblasts.Mechanistically,osteoblastic autophagy activated by nociceptor-derived calcitonin gene-related peptide(CGRP)suppressed the nuclear translocation of arachidonate 5-lipoxygenase(5-LOX)to favor the LXA4 biosynthesis.Moreover,in alveolar bone from patients with Type Ⅱ diabetes,we found diminished nociceptive innervation correlated with reduced autophagy,increased inflammation,and impaired bone formation.Activating nociceptive nerves by spicy diet or topical administration of a clinical-approved TRPV1 agonist showed therapeutic benefits on alveolar bone healing in diabetic mice.These results reveal a critical neuroimmune interaction underlying the inflammation-regeneration balance during bone repairing and may lead to novel therapeutic strategies for inflammatory bone diseases.
基金supported by the National Key Research and Development Program of China(No.2024YFE0211600)the National Natural Science Foundation of China(Nos.22261132509,22471130,22435002 and 22121005)+1 种基金the“111 Center”(No.B25010)the Natural Science Foundation of Tianjin(No.22JCYBJC00740)。
摘要Spontaneous resolution is a way for constructing chiral compounds from achiral modules,but the products are usually stochastic,which is unsuitable for enantioselective applications.Herein,a pair of chiral hydrogen-bonded frameworks assembled from achiral modules was reported.By introducing reusable chiral inducers,enantiomerically enriched NKU-777-xD/xL were obtained and exhibited superior enantioselective sensing performance.Notably,the amount of chiral inducer shows a positive correlation with the enantioselective sensing function,reflecting the degree of enantiomeric excess of NKU-777-xD/xL.Molecular-level mechanism studies reveal that competitive absorption governs the sensing functions of NKU-777-xD/xL,and the enantioselectivity is due to the enantioselective interactions of the hydrogenbonded frameworks with targeting chiral molecules.This work not only provides a facile way to synthesize enantiomerically enriched chiral hydrogen-bonded frameworks from achiral modules using reusable chiral inducer but also gains insights into the inducer-controlled enantiomerically enriched chiral compounds for enantioselective applications.
基金supported by the National Key Research and Development Program of China:Strategic Science and Technology Innovation Cooperation key special project"Cooperative Research on AI-Enhanced Soil and Crop Sensing Technology"(2025YFE0209000)the National Natural Science Foundation of China(NSFC-FAPESP Project,W2412109)+1 种基金the Central Guidance Fund for Local Scientific and Technological Development Projects in Inner Mongolia(2024ZY0145)the 2115 Talent Development Program of China Agricultural University。
摘要Low spatial resolution(LR)remote sensing data is widely adopted because of its lower cost,although its limited analytical precision constrains its full use in precision agriculture.By contrast,the acquisition of high spatial resolution(HR)data often requires substantial expense.To address this limitation,this study proposes an unsupervised degradation-aware multi-channel super-resolution network(UDAMSR)to enhance LR spectral images without requiring paired HR-LR training data.The main contributions are as follows:(1)the original framework is extended with dedicated queue and reconstruction layers to process multispectral and hyperspectral image(HIS)cubes,and a contrast-learning-based degradationaware module is integrated to address unknown real-world degradation;(2)comprehensive evaluation is conducted using image quality metrics,spectral consistency analysis,and performance in crop remote sensing tasks,such as chlorophyll content estimation;(3)the generalization capability of the model is assessed using data from three imaging devices,two spatial scales(near-ground and unmanned aerial vehicle(UAV)),and two geographic regions.The results show that the proposed method achieves the best overall performance in the comprehensive evaluation,with a mean peak signal-to-noise ratio(PSNR)of 32.78,a mean root mean squared error(RMSE)of 6.93,a mean structural similarity index of(SSIM)0.89,and a mean spectral angle mapper(SAM)of 0.131.The method effectively reduces the degradation in chlorophyll detection accuracy caused by spatial resolution reduction.The evaluation of generalization capability further shows that the proposed method demonstrates strong generalization across different spatial scales,geographic regions,devices,and data types.These results indicate that UDAMSR provides a robust,efficient,and cost-effective software solution that can compensate for hardware limitations and support high-quality crop phenotyping detection in diverse application scenarios.
基金the National Key R&D Program for Developing Basic Sciences(2022YFC3104802)the National Natural Science Foundation of China(Grant Nos.42476202,42106020,and 42306219)+5 种基金the Tai Shan Scholar Program(Grant No.tstp20231237)the Fundamental Research Funds for the Central Universities(Grant No.2-9-2023-031)Hainan Institute of China University of Geosciences,Beijing(Number:HNPY-202411,HNPY-202504)the Strategic Priority Research Program of Chinese Academy of Sciences(Grant No.XDB0500303)financially supported by the National Key Scientific and Technological Infrastructure project“Earth System Science Numerical Simulator Facility”(EarthLab)Laoshan Laboratory Project(Grant No.LSKJ202300301).
摘要The impact of resolution on the large-scale features in an ocean-sea ice coupled model(CAS-LICOM3)is communicated in this paper through three aspects.First,a refined resolution accelerates temperature and salinity drifts at a basin-averaged scale by facilitating exchanges among basins,subsequently reducing global-averaged drifts.This amplification of basin-scale exchanges is associated with an accelerated large-scale circulation,leading to a more rapid equilibration of temperature and salinity near 200 meters.Second,the refined resolution yields improved simulations of large-scale temperature,salinity,and currents,particularly evident in regions such as the Gulf Stream and its extension.Positive feedback mechanisms,such as improved undercurrents and a stronger Atlantic Meridional Ocean Circulation(AMOC),enhance temperature and salinity distributions,further improving the large-scale circulation.Subsurface improvements near 300 m are linked to improved simulations of equatorial undercurrents,Gulf Stream dynamics,and the Deep Western Boundary Current,leading to a more realistic representation of AMOC and high-latitude deep-water formation.However,limitations in vertical resolution may obscure finer-scale improvements in subsurface and deep-ocean processes.Despite having little impact on the temporal variability of phenomena such as ENSO,Indian Ocean Dipole(IOD),PDO,and AMO,the refined resolution enhances the strengths of their variabilities.
基金financially supported by the National Key Research and Development Program of China(No.2024YFB4610100)the National Natural Science Foundation of China(Nos.52235007,T2121004,and 52325504)the Science and Technology Planning Project of Guizhou Province(No.MS[2025]615).
摘要Tomographic volumetric bioprinting(TVBP)is an emerging transformative technology in bio-manufacturing,distinguished by two exceptional capabilities:ultrafast fabrication(centimeter-scale constructs within tens of seconds)and unique compatibility with ultra-soft bioinks(<102Pa).Despite its potential,TVBP remains in its infancy because of significant hurdles.These include the need to adapt conventional photocurable bioinks to TVBP’s unique photopolymerization requirements and achieve sufficient resolution to replicate intricate multicellular structures.Therefore,this review outlines strategies to address these challenges,delving into(1)the development of suitable bioinks,(2)printing resolution optimization,and(3)rapid construction of complex biological structures and functions.Furthermore,the fundamental principles and evolution of projection slicing algorithms are explored,and the latest advancements in TVBP applications are summarized.Finally,we explore the future trajectory of this promising bio-manufacturing technology.
基金Supported by the China National Science and Technology Major Project(2025ZD1407000)PetroChina Science and Technology Major Project(2023ZZ22)。
摘要To address the challenges of complex fluvial sandbody distribution and difficult remaining oil recovery in mature continental oilfields,this study focuses on key issues in reservoir identification such as ambiguous narrow-channel boundaries and subdivision of multi-stage superimposed sandbodies.Taking the Upper Cretaceous continental sandstone in the Sazhong Oilfield of the Daqing Placanticline as an example,a technical system integrating OVT high-resolution processing,multi-attribute fusion,and varible-scale inversion was developed to establish a complete workflow from seismic processing to reservoir prediction and remaining oil recovery.The following results are obtained.First,the Offset Vector Tile(OVT)seismic processing technology is extended,for the first time,from fracture imaging to sandbody prediction,in order to address the weak seismic responses from boundaries of narrow and thin sandbodies.A geology-oriented OVT partitioning method is developed to significantly improve the imaging accuracy,enabling identification of channel sandbodies as narrow as 50 m.Second,an amplitude-coherence dual-attribute fusion method is proposed for predicting narrow channel boundaries between wells.Constrained by a sedimentary unit-level sequence chronostratigraphic framework,this method accurately delineates 800-2000 m long subaqueous distributary channels with bifurcation-convergence features.Third,considering the superimposition of multi-stage channels,a three-level variable-scale stratigraphic model(sandstone groups,sublayers,sedimentary units)is constructed to overcome single-scale modeling limitations,successfully characterizing key sedimentary features like meandering river“cut-offs”through 3D seismic inversion.Based on these advances,a direct link between seismic prediction and remaining oil recovery is established.The horizontal wells deployed using narrow-channel predictions encountered oil-bearing sandstones in the horizontal section by 97%,and achieved initial daily production of 12.5 t per well.Precise identification of individual channel boundaries within 17 composite sandbodies guided recovery processes in 135 wells,yielding an average daily increase of 2.8 t per well and a cumulative increase of 13.6×104t.
基金supported in part by the Fundamental Research Project of China National Petroleum Corporation(CNPC)under Grant 2022DQ0604-4。
摘要Conventional deconvolution methods improve seismic resolution at the cost of reduced signal-tonoise ratio(SNR),limiting the accuracy of high-frequency signal recovery.To address this issue,this paper proposes a high-resolution processing method based on low-dimensional manifold constraints.First,datadriven manifold learning is employed to construct neighborhood relationships and characterize the distribution of high-dimensional seismic records in low-dimensional manifold space.Then,manifold information is incorporated into the regularization framework of high-resolution inversion to establish a multi-channel inversion objective function with low-dimensional manifold constraints.Finally,an iterative optimization strategy is applied for simultaneous multi-channel inversion of reflection coefcient sequences.By introducing spatial correlation of seismic signals into the high-resolution processing workflow,this method effectively suppresses noise interference in high-frequency signal recovery.Both synthetic and eld data tests demonstrate that the proposed method maintains superior SNR while enhancing resolution,improving the characterization accuracy of thin-layer hydrocarbon reservoirs.
基金supported by the National Natural Science Foundation of China (Grant Nos. 62405231, 62405235, and 62575229)the National Key Laboratory of Space Target Awareness (Grant Nos. STA2024KGL0203, STA2024ZCA0203, and STA-24-04-05)+3 种基金the Beijing Key Laboratory of Advanced Optical Remote Sensing Technology (Grant No. AORS202405)the China Postdoctoral Science Foundation (Grant No. 2024M762527)the Shaanxi Province High-level Innovation and Entrepreneurship Talent Program (Grant No. H02439005)the Natural Science Foundation of Shaanxi (Grant Nos. S2024-JC-JCQN-60, S2025-JCQYTS-0107, and 2025JC-QYCX-05)。
摘要In complex media scattering,multiple scattering severely degrades the optical wavefront and results in blurred images,while the spectral distortion caused by the scattering effect leads to severe color distortion.Achieving color high-resolution imaging through scattering media remains a significant challenge.Here,we propose a broadband,polarization-based method for color high-resolution imaging through scattering media.This approach enables high-resolution reconstruction by effectively separating the speckle illumination pattern from the mixed-scattering field information,leveraging polarization common-mode characteristics.Concurrently,it incorporates chromatic balance compensation to correct spectral aliasing in the scattered light field,enabling color high-resolution imaging through complex scattering media.To further optimize color distortion caused by scattering,a compensation strategy combining color constancy and white balance theory is adopted.Experimental results demonstrate that the proposed method significantly enhances both spatial resolution and color fidelity across various scattering conditions and target materials,showcasing strong adaptability and robustness.This approach provides an effective solution for achieving high-resolution color optical imaging in complex scattering environments.
基金supported by the National Natural Science Foundation of China(Nos.22522109,22271307)the Shenzhen Science and Technology Innovation Program(No.JCYJ20240813161112017)。
摘要Asymmetric reduction of unsaturated compounds via dynamic kinetic resolution(DKR)has significantly enhanced the efficiency and selectivity of synthesizing enantiomerically pure compounds from racemic substrates.This approach combines the simultaneous racemization of substrates with enantioselective reduction,enabling quantitative yields and high enantiomeric excess.In the past several years,remarkable advances in this field have been achieved,ranging from the development of innovative catalytic systems,novel synthetic strategies,expansion of substrate scope,deeper mechanistic understanding,and their applications.These advancements offer alternative and efficient methods in the asymmetric synthesis of chiral molecules bearing multiple consecutive stereogenic centers,particularly beneficial for the synthesis of natural products or chiral intermediates in pharmaceuticals and fine chemicals.In this review,we summarize the recent advances during the last several years according to the substrate types in this powerful and productive field,with an emphasis on the development of new catalytic systems and the insight into the DKR process.
基金Project supported in part by the National Key Research and Development Program of China(Grant No.2023YFC2206600)the National Natural Science Foundation of China(Grant Nos.12293032 and 12020101002)。
摘要We present the contribution of x-ray incident-position dependence on the absorber to the energy resolution of Ti/Au transition-edge sensors(TESs).The pulse height varies with the position due to insufficient thermal conductivity and geometry of the absorber that degrades the measured energy resolution.We develop a three-dimensional(3D)electrothermal simulation model and thoroughly study the position dependent contribution to energy resolution(ΔEp)for two presentative absorber structures:an absorber directly deposited on the center of TES sensor(design A)and an absorber cantilevered on the TES sensor by several stems(design B).For design A with a 30μm×40μm Au absorberΔEpis found to be 9.4 eV,while it is reduced to 1.35 eV for design B with a 100μm×100μm Au absorber.Although the contribution of position dependence is relatively small,this study facilitates further optimization of the absorber structure to achieve enhanced energy resolution.
基金supported by the National Natural Science Foundation of China(Grant No.62275233)the Zhejiang Provincial Natural Science Foundation of China(Grant Nos.LR25E020002 and LDG25F050001)the Opening Project of State Key Laboratory of Advanced Glass Materials.,National Natural Science Foundation of China(Nos.62405223,62575219).
摘要Incorporating perovskite nanocrystals(PNCs)in the glass matrix has been demonstrated to be an effective route to improve their stability for long-term operation.However,simultaneously achieving high luminance and high photoluminescence(PL)quantum yield(QY)is challenging.Herein,we report a strategy that employs fluoride ion doping to modify the three-dimensional glass network,thereby optimizing the crystallization behavior of PNCs and achieving both high luminance and high PLQY in full-spectrum.Leveraging these high-performance transparent composites,we constructed a dynamic holographic multicolor display system by integrating with a spatial light modulator(SLM),achieving a pixel density as high as 20,247 pixels per inch(PPI).We further propose a vertically stacked,multilayer full-color display architecture that overcomes the limitations of color filters in light-utilization efficiency and the bottlenecks of conventional planar sub-pixel layouts in terms of spatial utilization and resolution.
摘要Precise Orbit Determination(POD)of Low Earth Orbit(LEO)satellites is critical for Earth and space science applications.Reduced-Dynamic Orbit Determination(RDOD)achieves centimeter-level accuracy by absorbing unmodeled forces through pseudo-stochastic parameters,but sacrifices physical consistency and limits predictive capability.Dynamic Orbit Determination(DOD)explicitly models temporal force variations,enabling consistent orbits and high-resolution gravity field recovery,yet remains less precise due to unresolved Global Positioning System(GPS)carrier-phase ambiguities.This study proposes an Integer Ambiguity Resolution(IAR)-enhanced DOD framework to overcome this limitation.Using GRACE Follow-On data,the method yields dynamic orbits with sub-2 cm accuracy,and IAR further reduces discrepancies to~1 cm,comparable to leading RDOD solutions.Independent validations yield 1 cm residuals from Satellite Laser Ranging and 0.3 cm from K-band Ranging systems.Furthermore,24-h autonomous forward propagation driven by accelerometer data confirms improved navigation feasibility,with the IAR solution reducing Three-Dimensional(3D)Root-Mean-Square(RMS)errors to~63 cm compared with~82 cm for the Float solution.In monthly gravity field recovery,IAR remains consistent with Float up to degree and order 20,while higher degrees show increasing discrepancies linked to GPS phase residuals,warranting further investigation of systematic errors.
基金supported by the National Natural Science Foundation of China(Nos.22479092 and 22078190)。
摘要The pseudo-two-dimensional(P2D)model plays an important role in exploring physicochemical mechanisms,predicting the state of health,and improving the fast charge capability for Li-ion batteries(LIBs).However,the fast charge leads to the lithium concentration gradient in the solid and electrolyte phases and the non-uniform electrochemical reaction at the solid/electrolyte interface.In order to decouple charge transfer reactions in LIBs under dynamic conditions,understanding the spatio-temporal resolution of the P2D model is urgently required.Till now,the study of this aspect is still insufficient.This work studies the spatio-temporal resolution for dynamic/static electrochemical impedance spectroscopy(DEIS/SEIS)on multiple scales.In detail,DEIS and SEIS with spatio-temporal resolutions are used to decouple charge transfer reactions in LIBs based on the numerical solution of the P2D model in the frequency domain.The calculated results indicate that decoupling solid diffusion requires a high spatial resolution along the r-direction in particles,decoupling electrolyte diffusion and interfacial transfer reaction requires a high spatial resolution along the x-direction,and decoupling charge transfer reactions in LIBs at an extremely low state of charge(SOC)requires an extremely high temporal resolution along the t-direction.Finally,the optimal range of spatio-temporal resolutions for DEIS/SEIS is derived,and the method to decouple charge transfer reactions with spatio-temporal resolutions is developed.
摘要X-ray phase-contrast imaging(XPCI)provides superior sensitivity for the diagnosis of low-Z materials compared with absorption-based techniques.Betatron radiation generated by laser wakefield accelerators,which offers high photon flux,ultra-short duration,and relatively high spatial coherence,is a promising compact source for XPCI.At present,there is a lack of knowledge about how to control wakefield accelerators and realize high-quality XPCI.This study investigates the influence of gas pressure(plasma density)on betatron source characteristics and on the performance of propagation-based XPCI.Through particle-in-cell and wave-optics simulations,it explores the relationship between gas pressure and imaging characteristics such as spatial resolution and brightness and determines an optimal operation window.Experimental results confirm this optimal operation window at 40-45 psi[plasma density~(3-4)×1018cm^-3],with which a peak photon flux of 8×1012photons/sr and a contrast of 20.32%at a spatial resolution of 5μm are realized.This study demonstrates a pathway for the optimization of betatron-based XPCI,enabling synchrotron-comparable spatial resolution in a laboratory-scale setup and shows the potential of XPCI in ultrafast microscopic imaging applications.
基金supported by the Establishment of Key Laboratory of Shenzhen Science and Technology Innovation Committee under Grant No.ZDSYS20190902093015527the Shenzhen Science and Technology Innovation Committee under Grant No.JSGG20220831104402004。
摘要Extracting spatio-temporal cues from neighbouring frames is challenging in video super-resolution(VSR).Although deformable alignment-based VSR methods have shown promise in aligning neighbouring frames with the reference frame,most existing methods rely on one or a few traditional convolutions to estimate motion offsets for spatio-temporal alignment,restricting receptive field size and alignment accuracy.To address these limitations,we propose an effective spatio-temporal alignment network(ESTA-Net)for VSR.The core component of our method is the group convolution-based alignment module(GCBAM),which utilises cascaded group convolutions to learn offsets across both the original and downsampled resolutions.By employing group convolutions rather than traditional convolutions,GCBAM enables the deformable alignment to achieve a wider receptive field with lower computational cost,thereby improving the accuracy of offset estimation.Additionally,the bi-scale alignment strategy within GCBAM enhances robustness to complex and large-scale motions.Furthermore,we introduce an attention-based feature enhancement module(AFEM)to refine the aligned features,focusing on critical details to improve reconstruction quality.Extensive experiments on standard benchmarks show that our ESTA-Net achieves superior VSR performance against other advanced methods,while maintaining a good equilibrium between model size and performance.
基金supported by the National Natural Science Foundation of China(52275562)the Shenzhen Science and Technology Program,China(JCYJ20230807143603007)+1 种基金the Natural Science Foundation of Hubei Province,China(2022CFB047)the Natural Science Foundation of Wuhan,China(2024040801020282)。
摘要Thanks to the high quantum efficiency,large migration lifetime,excellent X-ray absorption capability,and ease of crystal growth,perovskite scintillators have received widespread attention in recent years and have become highly competitive X-ray detection scintillators.Compared with traditional inorganic scintillators,the tunable structure and diverse chemical composition of perovskite scintillators are unique advantages in optimizing their scintillation performance.Fully understanding the relationship between scintillation characteristics with structure and chemical composition of perovskite scintillators is the key to achieve high-sensitivity detection and high-resolution imaging.The latest progress and future prospect of key performance indicators such as light yield and spatial resolution in perovskite X-ray indirect detection and imaging are reviewed herein.First,the basic principles of X-ray indirect detection and the key performance parameters of X-ray indirect detectors are discussed.Then,the methods to improve the light yield of perovskite scintillators are discussed from the aspects of the characteristics of perovskite materials themselves,the introduction of ion doping to adjust the perovskite structure,and the improvement of scintillation preparation processes.We further discuss how to suppress fluorescence crosstalk to improve the spatial resolution of X-ray imaging from the aspects of material size,scintillation preparation process,and scintillation structure.Finally,we emphasize the challenges that current perovskite scintillators still face and provide prospects for their future development.
摘要Purpose:To evaluate the clinical validity of Acoustic Change Complex(ACC)measurements for diagnosing temporal resolution deficits in individuals with sensorineural hearing loss(SNHL).Methods:This study included 100 participants,divided into two groups:50 adults with normal peripheral hearing(NH),who served as the control group,and 50 adults with bilateral mild-to-moderate sensorineural hearing loss(SNHL).All participants completed both behavioral and electrophysiological Gap-in-Noise(GIN)assessments.Results:Both behavioral and electrophysiological Gap-in-Noise(GIN)assessments demonstrated significantly elevated thresholds in the SNHL group compared with the NH group.Furthermore,electrophysiological GIN thresholds were consistently lower(better)than behavioral GIN thresholds in both groups.A strong positive correlation was observed between behavioral and electrophysiological GIN thresholds.The electrophysiological GIN threshold demonstrated a sensitivity of 84%and a specificity of 90%for identifying temporal resolution deficits.Conclusion:These findings indicate that the electrophysiological Gap-in-Noise(GIN)test is a reliable objective measure for evaluating temporal resolution.Moreover,it may be particularly useful in clinical situations where behavioral assessment is not feasible.
基金the National Natural Science Foundation of China(No.22271054)the“1000-Youth Talents Plan”,Sinopec Seeding Program(No.ZC0607-0258)+2 种基金Fudan University(startup grant)for financial supportsupported by Open Research Fund of School of Chemistry and Chemical Engineering,Henan Normal UniversityOpen Project of State Key Laboratory of Synergistic Chem-Bio Synthesis。
摘要Functionalized C-N atropisomers has become more and more attractive and found wide applications in natural products,drug molecules,as well as in chiral ligands.As a complement to asymmetric de novo ring formation and cross C-N coupling methods,the resolution approach demonstrates uniquely advantageous,which can progressively introduce the key functional groups and generate enantiomeric excess.Herein,we have developed an enzymatic tool for the construction of difunctionalized C-N atropisomers via lipase-catalyzed desymmetrization and kinetic resolution of N-naphthol-carbazoles.Acetylacetone was found as an efficient proton donor under the catalysis of LPL311-polyester.The enantioselective deacylation process has exhibited good functional group tolerance to produce enantioenriched C-N atropisomers with good to excellent enantioselectivity,in which the pre-installed hydroxyl functionality on the naphthene ring and the hydroxyl functionality on the carbazole ring generated after hydrolysis together provide feasibility for subsequent transformations.