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Atomic-scale ultrafast laser processing of nanocrystal with plasmonic modulation for machine learning combined flexible sensor devices 认领 引用 被引量：1
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作者 Ma Luo Jiaqun Li +6 位作者 Jiawang Xie Haoze Han Jianfeng Yan Yuzhi Zhao Yaoyao Li Huhu Cheng Liangti Qu 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2026年第2期620-638,共19页
Nanometallic materials have attracted wide research attention in the fabrication of functional devices,including flexible electronics circuits and high-sensitive sensors.Sintering of nanometallic materials is generall... Nanometallic materials have attracted wide research attention in the fabrication of functional devices,including flexible electronics circuits and high-sensitive sensors.Sintering of nanometallic materials is generally thought as an effective technology for the functional manufacturing,and the controllable sintering of nanometallic materials and its major mechanisms have long been a challenge.Here,an ultrafast laser processing strategy for Ag nanoparticles(NPs)is achieved by modulating plasmonic.The excitation mode of plasmon can be designed by laser parameters,including polarization with a specific crystal size.The atomic-scale ultrafast dynamics are revealed for understanding the sintering process and design of the sintered structures.The non-equilibrium energy transfer between electron and lattice and dynamic evolution of pressure are proved to be the foremost driving forces on the motion of atomic structures.Through research of plasmonic-induced electric field enhancement and non-uniform deposition of heat and in-situ observation of relative transmittance,mapping from atomic-scale structure to micro behavior is established.Based on plasmonic modulation and processing of Ag NPs,a machine learning combined flexible gesture sensor with high recognition accuracy is displayed.This work expands the knowledge of interactions between lasers and nanometallic materials and provides a method for designing functional devices for a wide range of applications. 展开更多
关键词 ultrafast laser fabrication plasmonic modulation atomic scale processing flexible devices
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Microseismic signal processing and rockburst disaster identification:A multi-task deep learning and machine learning approach 认领 引用 被引量：1
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作者 Chunchi Ma Weihao Xu +3 位作者 Xuefeng Ran Tianbin Li Hang Zhang Dongwei Xing 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第1期441-456,共16页
Underground engineering projects such as deep tunnel excavation often encounter rockburst disasters accompanied by numerous microseismic events.Rapid interpretation of microseismic signals is crucial for the timely id... Underground engineering projects such as deep tunnel excavation often encounter rockburst disasters accompanied by numerous microseismic events.Rapid interpretation of microseismic signals is crucial for the timely identification of rockbursts.However,conventional processing encompasses multi-step workflows,including classification,denoising,picking,locating,and computational analysis,coupled with manual intervention,which collectively compromise the reliability of early warnings.To address these challenges,this study innovatively proposes the“microseismic stethoscope"-a multi-task machine learning and deep learning model designed for the automated processing of massive microseismic signals.This model efficiently extracts three key parameters that are necessary for recognizing rockburst disasters:rupture location,microseismic energy,and moment magnitude.Specifically,the model extracts raw waveform features from three dedicated sub-networks:a classifier for source zone classification,and two regressors for microseismic energy and moment magnitude estimation.This model demonstrates superior efficiency compared to traditional processing and semi-automated processing,reducing per-event processing time from 0.71 s to 0.49 s to merely 0.036 s.It concurrently achieves 98%accuracy in source zone classification,with microseismic energy and moment magnitude estimation errors of 0.13 and 0.05,respectively.This model has been well applied and validated in the Daxiagu Tunnel case in Sichuan,China.The application results indicate that the model is as accurate as traditional methods in determining source parameters,and thus can be used to identify potential geomechanical processes of rockburst disasters.By enhancing the signal processing reliability of microseismic events,the proposed model in this study presents a significant advancement in the identification of rockburst disasters. 展开更多
关键词 Underground engineering Microseismic signal processing Deep learning Multi-task Rockburst identification
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Prospects and applications of efficient physical fields in enhancing quality stability of berries during processing:a review 认领 引用
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作者 Chunting Qu Yuxi Lang +8 位作者 Hui Tan Yao Ma Xinwei Wang Honglin Jiang Maofan Yue Ziqi Song Ahmed Adel Ashour Bin Li Xu Si 《Food Innovation and Advances》 2026年第2期195-206,共12页
Berries are characterized by their high nutrient content and the presence of bioactive compounds.However,their thin skin and high moisture content render them highly susceptible to postharvest spoilage.Conventional pr... Berries are characterized by their high nutrient content and the presence of bioactive compounds.However,their thin skin and high moisture content render them highly susceptible to postharvest spoilage.Conventional processing methods can extend shelf life to a certain degree;however,they frequently result in nutrient loss,sensory quality deterioration,and increased energy consumption.In recent years,high-efficiency physical field technologies(such as acoustic field,electromagnetic fields,pressure field,and plasma)have provided new technological pathways for addressing the aforementioned challenges.The utilization of non-thermal or low-temperature processing characteristics enables the effective preservation of berry nutrients and flavor during critical stages,such as sterilization,drying,freezing,thawing,and refrigeration.Furthermore,these physical fields enhance processing efficiency,reduce energy consumption,and delay the deterioration of quality during storage.This paper systematically reviews the research progress in various physical fields of berry processing and quality enhancement,summarizing their fundamental concepts,mechanisms of action,and effects on berry quality across different processing stages,and discusses their prospects for industrial application in the food processing industry. 展开更多
关键词 physical field technologies such bioactive compoundshowevertheir postharvest spoilage acoustic fieldelectromagnetic fieldspressure berry processing processing methods efficient physical fields bioactive compounds
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Advances in electrophysiological research on emotional and reward processing in major depressive disorder 认领 引用
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作者 Jia-Min Han Jia-Zhao Zhang +5 位作者 Ya-Wen Wu Jing Zhang Xin-Yu Wang Xiao-Hong Liu Jun Wang Zhen-He Zhou 《World Journal of Psychiatry》 SCIE 2026年第6期68-79,共12页
Major depressive disorder(MDD)is characterized by persistent low mood and anhedonia,indicative of fundamental disruptions in emotion regulation and reward processing.With advancements in high-temporal resolution elect... Major depressive disorder(MDD)is characterized by persistent low mood and anhedonia,indicative of fundamental disruptions in emotion regulation and reward processing.With advancements in high-temporal resolution electrophysiological techniques,electroencephalography/event-related potentials have become crucial for identifying the dynamic neural signatures associated with these dysfunctions.This review synthesizes recent evidence regarding the electrophysiological underpinnings,abnormal patterns,neural circuitry,and molecular mechanisms that contribute to emotional and reward processing deficits in MDD.It further explores the potential of these deficits to serve as endophenotypes and transdiagnostic features,and it outlines mechanism-based interventions and translational findings.Current research reveals extensive electrophysiological abnormalities across various stages of emotional and reward processing,implicating dysfunction within specific cortical-limbic pathways and molecular systems.These insights hold significant implications for enhancing the diagnosis,treatment,and mechanistic understanding of MDD. 展开更多
关键词 Major depressive disorder Emotional processing Reward processing Electroencephalography Event-related potentials
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Revisiting starch degradability in dairy ruminants:from feed processing to gut microbiota and metabolic regulation 认领 引用
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作者 Qingyan Yin Shengru Wu +4 位作者 Xinjian Lei Jun Zhang Dangdang Wang Xinwei Li Junhu Yao 《Journal of Animal Science and Biotechnology》 SCIE CAS CSCD 2026年第4期1802-1819,共18页
Starch serves as the primary energy source for high-producing dairy ruminants,which include both dairy cows and dairy goats.Optimizing starch digestion is crucial for ensuring high milk production and maintaining anim... Starch serves as the primary energy source for high-producing dairy ruminants,which include both dairy cows and dairy goats.Optimizing starch digestion is crucial for ensuring high milk production and maintaining animal health.This narrative review summarizes and discusses recent findings concerning the degradability of starch in these species.Dietary starch is classified into three distinct types based on the basis of its degradation characteristics:rumen degradable starch(RDS),which ferments in the rumen;rumen escape starch(RES),which is subsequently digested in the small intestine;and resistant starch(RS),which resists complete digestion and enters the large intestine.This review systematically links feed processing methods,which directly influence starch structure,to their subsequent effects on the gut microbiota composition and host metabolic regulation.Three key insights emerge from this synthesis of literature.First,processing techniques such as steam-flaking critically alter the ratio among the three starch types,thereby shifting the effective site of digestion.Second,the optimal application of RDS differs significantly between dairy cows and dairy goats,primarily because these species exhibit distinct digestive physiologies.Nutritionists must carefully account for these species-specific differences to effectively prevent metabolic disorders.Third,the primary site of starch digestion significantly reshaped the gut microbiota profile.While a proper balance supports beneficial bacteria,excessive RS reduces energy efficiency,whereas an overload of RDS can readily lead to severe rumen acidosis.Therefore,balancing the proportions of RDS,RES,and RS is vital for helping animals effectively manage the elevated energy demands experienced during peak lactation.Future research must focus on developing precise starch management strategies tailored to the specific needs of various ruminant species. 展开更多
关键词 Degradation sites Energy efficiency Feed processing Ruminants Starch
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Hot Compression Deformation Behavior and Processing Maps of Mg-Zn-Mn(-Sn)-Ca Alloy 认领 引用
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作者 Chen Xia Zhu Yulong +2 位作者 Liu Quanyi Zhang Dingfei Pan Fusheng 《稀有金属材料与工程》 SCIE EI CAS CSCD 北大核心 2026年第3期627-635,共9页
The hot compression deformation behavior of Mg-6Zn-1Mn-0.5Ca(ZM61-0.5Ca)and Mg-6Zn-1Mn-2Sn-0.5Ca(ZMT612-0.5Ca)alloys was investigated at deformation temperatures ranging from 250℃to 400℃and strain rates varying from... The hot compression deformation behavior of Mg-6Zn-1Mn-0.5Ca(ZM61-0.5Ca)and Mg-6Zn-1Mn-2Sn-0.5Ca(ZMT612-0.5Ca)alloys was investigated at deformation temperatures ranging from 250℃to 400℃and strain rates varying from 0.001 s-1 to 1 s-1.The results show that the addition of Sn promotes dynamic recrystallization(DRX),and CaMgSn phases can act as nucleation sites during the compression deformation.Flow stress increases with increasing the strain rate and decreasing the temperature.Both the ZM61-0.5Ca and ZMT612-0.5Ca alloys exhibit obvious DRX characteristics.CaMgSn phases can effectively inhibit dislocation motion with the addition of Sn,thus increasing the peak fl ow stress of the alloy.The addition of Sn increases the hot deformation activation energy of the ZM61-0.5Ca alloy from 199.654 kJ/mol to 276.649 kJ/mol,thus improving the thermal stability of the alloy.For the ZMT612-0.5Ca alloy,the optimal hot deformation parameters are determined to be a deformation temperature range of 350–400℃and a strain rate range of 0.001–0.01 s-1. 展开更多
关键词 hot deformation constitutive equation processing map deformation activation energy magnesium alloy
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Laser micro-nano processing of optoelectronic materials 认领 引用
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作者 Shu-Yu Liang Run-Qiu Zhu +1 位作者 Hong Xia Yue-Feng Liu 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2026年第1期311-339,共29页
Laser micro-nano processing technologies have been developed to address challenges that are otherwise difficult to solve in industrial applications and diverse scientific fields.These technologies offer designable pat... Laser micro-nano processing technologies have been developed to address challenges that are otherwise difficult to solve in industrial applications and diverse scientific fields.These technologies offer designable patterning,arraying capabilities,three-dimensional(3D)processing,and high precision.Recent advancements in laser technologies have demonstrated their effectiveness as powerful tools for micro-nano processing of optoelectronic materials.By utilizing various laser techniques—such as laser-induced polymerization,laser ablation,laser-induced transfer,laser-directed assembly,and laser-assisted crystallization—broad applications in image sensors,displays,solar cells,lasers,anti-counterfeiting,and information encryption have been enabled.This review comprehensively summarizes recent progress in the laser micro-nano processing of optoelectronic materials,including the technologies used for preparation,patterning,arraying,and modification.These laser fabrication methods uniquely provide capabilities such as annealing,phase transitions,and ion exchange in optoelectronic materials.We also discuss the perspectives and challenges for future developments,including the advantages,disadvantages,and potential applications of different laser micro-nano processing technologies.With the rapid advancements in laser micro-nanofabrication,we foresee significant growth in advanced,high-performance optoelectronic applications.This review aims to provide researchers with insights into the current state and future prospects of laser-based micro-nano processing,encouraging further exploration and innovation in this promising field. 展开更多
关键词 laser micro-nano processing optoelectronic materials high-precision integration
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Seismic prediction methods for continental distributary channel sands:OVT high-resolution processing,multi-attribute fusion and varible-scale inversion 认领 引用
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作者 XU Liheng LUO Qing +6 位作者 ZHAO Haibo SONG Wei LI Hongxing HUANG Yong GUO Yajie SUN Yanmin LIU Pengkun 《Petroleum Exploration and Development》 SCIE 2026年第1期110-124,共15页
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
关键词 OVT high resolution processing multi-attribute fusion varible-scale inversion reservoir prediction remaining oil Cretaceous Sazhong Oilfield Songliao Basin
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Modified microstructure and enhanced mechanical performance of wire arc additive manufactured 2319 aluminum alloy via interlayer friction stir processing 认领 引用
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作者 DAI Guo-qing YE Wei-long +6 位作者 XING Yun-jing YAO Jie JIANG Tao GUO Yan-hua LU Hai-fei LU Jin-zhong SUN Zhong-gang 《Journal of Central South University》 SCIE EI CAS CSCD 2026年第6期2423-2437,共15页
In order to eliminate metallurgical defects and improve mechanical properties of the builds,the interlayer friction stir processing(FSP)technology was employed to assist in wire-arc additive manufacturing(WAAM)high-st... In order to eliminate metallurgical defects and improve mechanical properties of the builds,the interlayer friction stir processing(FSP)technology was employed to assist in wire-arc additive manufacturing(WAAM)high-strength 2319 aluminium alloy,and comprehensive analysis was investigated on the microstructural evolution and mechanical properties.The grains at the bottom of the builds grew,and the proportion of recrystallized grains increased due to the cyclic thermal influence,resulting in a more isotropic microstructure.By applying interlayer FSP to WAAM,the coarse columnar grains in the top regions were refined by 95%,and the proportion of high angle grain boundaries(HABs)increased from 2.5%to 62.3%,effectively reducing the dislocation density.During the friction stir processing,the precipitation phase was fragmented,thereby providing a pinning effect that hinders dislocation accumulation.With an increase in plastic deformation,the dislocation density increased,triggering dynamic recrystallisation.Additionally,the mechanical properties of the builds prepared using hybrid method were assessed.The as-deposited builds exhibited an average ultimate tensile strength(UTS)and elongation(EL)of 225 MPa and 6.2%,respectively.By contrast,the tensile properties of stirring builds in the stable region were increased,with an average UTS and EL of 248.5 MPa and 12.7%respectively.In summary,this work provides practical guidelines for optimizing the additive manufacturing quality of high-strength aluminium alloys. 展开更多
关键词 2319 aluminium alloy wire-arc additive manufacturing(WAAM) friction stir processing(FSP) microstructure evolution mechanical properties
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Microstructural evolution and tensile deformation behaviors of fine-grained Fe40Mn20Co20Cr15Si5high entropy alloy prepared by friction stir processing 认领 引用
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作者 Jia LIN Yuan FANG +7 位作者 Wen WANG Peng HAN Ting ZHANG Qiang LIU Ya-ting XIANG Feng-ming QIANG Ke QIAO Kuai-she WANG 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2026年第3期842-854,共13页
A fine-grained metastable dual-phase Fe40Mn20Co20Cr15Si5high entropy alloy(CS-HEA)with excellent strength and ductility was successfully prepared by friction stir processing(FSP).The microstructural and... A fine-grained metastable dual-phase Fe40Mn20Co20Cr15Si5high entropy alloy(CS-HEA)with excellent strength and ductility was successfully prepared by friction stir processing(FSP).The microstructural and mechanical properties of the fine-grained CS-HEA were characterized.The results showed that as-cast shrinkage cavities and elemental segregation were eliminated.The average grain size was refined from 121.1 to 5.4μm.The face-centered cubic phase fraction increased from 23%to 82%.During tensile deformation,dislocation slip dominated at strains ranging from 5%to 17%,followed by transformation induced plasticity(TRIP)from 17%to 26%,and twin induced plasticity(TWIP)from 26%to 37%.The yield strength,ultimate tensile strength,and elongation of the fine-grained CS-HEA were 503 MPa,1120 MPa,and 37%,respectively.The strength-ductility synergy of fine-grained CS-HEA was attributed to the combined effects of TRIP,TWIP,dislocation strengthening,and fine-grained strengthening. 展开更多
关键词 friction stir processing metastable high entropy alloy fine-grained microstructure deformation behaviors transformation-induced plasticity
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Local mechanical behavior and enhanced ductility of ultrastrongly textured AM50 rods processed via constrained friction processing 认领 引用
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作者 Camila Caroline de Castro Ting Chen +1 位作者 Diogo de Campos Fernandes Benjamin Klusemann 《Journal of Magnesium and Alloys》 SCIE EI CAS CSCD 2026年第2期259-275,共17页
Constrained friction processing(CFP)is an innovative technique for lightweight materials,producing fine or ultrafine microstructures through severe plastic deformation.CFP favors the formation of ultrastrong B-fiber t... Constrained friction processing(CFP)is an innovative technique for lightweight materials,producing fine or ultrafine microstructures through severe plastic deformation.CFP favors the formation of ultrastrong B-fiber texture in rods of Mg alloys,with its orientations varying along the rod according to the local material flow conditions.This study aims to investigate the local micromechanical behavior of AM50 rods produced via CFP and the deformation mechanisms under tensile loading specific to each analyzed position.For this purpose,a combined analysis of local microstructure and microindentation was performed,followed by tensile testing of micro-flat specimens taken at three rod positions,i.e.center and edge along the plunge direction,and middle along the radial direction,in order to investigate the role of grain size and texture on the local deformation mechanisms,and ultimately,the local mechanical properties.The results indicate that texture has a more dominant influence than grain size on the local mechanical behavior of rods processed via CFP given the pronounced gradient of ultrastrong textures observed along the rod radius,which determines the dominant deformation mechanisms.Furthermore,an approach using quasi-in-situ tensile tests performed at the center of the rod indicates that slip and tensile twinning are the main deformation modes for the ultrastrong B-fiber texture observed at this position.In contrast,at the middle of the rod,the deformation of the local ultrastrong basal texture is ruled by basal slip,combined to the slip transfer.An exceptional enhancement in elongation at break(≈49%)is observed in the sample taken at the edge of the rod,with an ultrastrong B-fiber texture tilted 25°in relation to the center.This is attributed to a combination of lattice rotation,which aligns the basal planes at 45°to the tensile axis,and the maximized activity of basal slip. 展开更多
关键词 Magnesium alloy Constrained friction processing Local mechanical behavior Quasi-in-situ tensile tests Enhanced ductility
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Quantitative analysis of flow characteristics within tundishes using dye experiments and image processing techniques 认领 引用
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作者 Hao-Jian Duan Ding-Han Li Li-Feng Zhang 《Journal of Iron and Steel Research International》 SCIE EI CSCD 2026年第2期178-192,共15页
Image processing techniques were employed to analyze the ink dispersion process in a tundish water model,providing quantitative parameters to evaluate fluid flow dynamics.Key parameters,including filling time,dead are... Image processing techniques were employed to analyze the ink dispersion process in a tundish water model,providing quantitative parameters to evaluate fluid flow dynamics.Key parameters,including filling time,dead area fraction,area emptying time,peak concentration time,dead concentration fraction,and concentration emptying time,were introduced.Orthogonal tests were conducted to investigate the effects of dam spacing,height,and openings on tundish flow behavior.Results revealed that the dam spacing of 3760 mm yielded the shortest filling and peak concentration time,while the 4760 mm spacing minimized dead area and concentration fractions.Taller dams(620 mm)reduced dead area fractions but extended peak concentration time.Dams with openings demonstrated improved flow dynamics,reducing both dead area and concentration fractions,as well as emptying time.The consistency between dye experiments and residence time distribution experiments highlights the reliability of these parameters for optimizing tundish design and operation. 展开更多
关键词 Tundish Dye experiment Image processing technique Orthogonal test Dam
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Neural correlates of impairments in music emotion processing in major depressive disorder:Evidenced from an event-related potential study 认领 引用
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作者 Ya-Nan He Wen-Yu Yang +4 位作者 Jing Zhang Xin-Yu Wang Xue-Zheng Gao Xiao-Hong Liu Zhen-He Zhou 《World Journal of Psychiatry》 SCIE 2026年第6期106-121,共16页
BACKGROUND Patients with major depressive disorder(MDD)commonly exhibit widespread cognitive impairments.Music,as a complex auditory stimulus with relatively high ecological validity,can be utilized to investigate bra... BACKGROUND Patients with major depressive disorder(MDD)commonly exhibit widespread cognitive impairments.Music,as a complex auditory stimulus with relatively high ecological validity,can be utilized to investigate brain information processing mechanisms.Event-related potentials(ERPs)are well-suited for capturing the temporal dynamics of neural processing across successive cognitive stages.However,the number of systematic ERPs studies examining multi-stage musical information processing in MDD patients remains relatively limited.AIM To elucidate the neural mechanisms underlying musical emotion processing deficits in MDD using a multi-stage ERPs framework,and to explore potential neurobiological markers associated with cognitive impairment.METHODS Thirty MDD patients(Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition diagnosis,24-item Hamilton Depression Rating Scale≥20)and twentynine demographically matched healthy controls(HCs)completed a category judgment task with neutral,negative,and positive musical stimuli(4-7 seconds each).Electroencephalogram was recorded using a 64-channel system,and core ERPs components(N100,P200,P300)from the left prefrontal,right prefrontal,and central regions were analyzed.Behavioral(accuracy,reaction time)and ERPs data were examined via repeated-measures ANOVA.RESULTS Behaviorally,MDD patients showed significantly lower overall accuracy(P=0.008)and longer reaction times(P=0.014)than HC.Both groups responded faster to positive music than neutral and negative music(P<0.001).Neurophysiologically,significant“group×emotional condition”or“group×region”interactions emerged for N100(button response:P=0.007),P200(onset:P=0.012),and P300(onset:P=0.008).Key neural features of MDD included enhanced central N100 amplitude,failure to differentiate neutral from negative music at the P200 stage,and absent stimulus type-related modulation of P300,contrasting with HCs’differentiated neural responses.Behaviorally,MDD patients showed significantly lower overall accuracy(P=0.008)and longer reaction times(P=0.014)than HC.Both groups responded faster to positive music than neutral and negative music(P<0.001).Neurophysiologically,significant“group×emotional condition”or“group×region”interactions emerged for N100(button response:P=0.007),P200(onset:P=0.012),and P300(onset:P=0.008).Key neural features of MDD included enhanced central N100 amplitude,failure to differentiate neutral from negative music at the P200 stage,and absent stimulus type-related modulation of P300,contrasting with HCs’differentiated neural responses.CONCLUSION MDD patients exhibit multi-stage neural functional abnormalities in musical emotional processing.ERPs abnormalities reflect deficits in early sensory-attentional allocation(N100),stimulus feature discrimination(P200),and late cognitive evaluation(P300).These stage-specific ERPs profiles can serve as potential neurobiological markers for cognitive impairments in MDD,highlighting the utility of musical paradigms in unraveling the brain functional mechanisms of depression. 展开更多
关键词 Major depressive disorder Emotional processing Musical emotional information Event-related potentials N100 P200 P300
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Data-Driven Design of Scalable Perovskite Film Fabrication via Machine Learning–Guided Processing 认领 引用
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作者 Hong Liu Kangyan Liu +7 位作者 Biao Zhang Ziang Chen Yi Yang Qiang Sun Tao Ye Bed Poudel Kai Wang Congcong Wu 《Carbon Energy》 SCIE EI CAS CSCD 2026年第3期129-139,共11页
The key challenge in the preparation of perovskite solar cells is to enhance the reproducibility of PSC manufacturing,particularly by better controlling multiple high-dimensional process parameters.This study proposes... The key challenge in the preparation of perovskite solar cells is to enhance the reproducibility of PSC manufacturing,particularly by better controlling multiple high-dimensional process parameters.This study proposes a machine learning(ML)approach to efficiently predict and analyze perovskite film fabrication processes.By evaluating five classic ML algorithms on 130 experimental data sets from blade-coating parameters,the Random Forest(RF)model was identified as the most effective,enabling rapid prediction of over 100,000 parameter sets in just 10 min-equivalent to 3 years of manual experimentation.The RF model demonstrated strong predictive accuracy,with an R2 close to 0.8.This approach led to the identification of optimal process parameter combinations,significantly improving the reproducibility of PSCs and reducing performance variance by approximately threefold,thereby advancing the development of scalable manufacturing processes. 展开更多
关键词 Data-Driven Design of Scalable Perovskite Film Fabrication via Machine Learning Guided Processing
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Image processing based infrared precursor recognition for NPR cable anchored rock with inclination angles 认领 引用
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作者 Jiong Wang Yiwen Chang Manchao He 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第6期4503-4525,共23页
Recognizing rock fracture precursors is critical for ensuring the safe and stable operation of deep underground engineering.The paper investigates the fracture mechanisms of Negative Poisson's Ratio material(NPR)a... Recognizing rock fracture precursors is critical for ensuring the safe and stable operation of deep underground engineering.The paper investigates the fracture mechanisms of Negative Poisson's Ratio material(NPR)and Poisson's Ratio material(PR)material anchored composite rock specimens(NCR&PCR)with different inclination angles in uniaxial compression test(UCT),monitored with acoustic emission(AE)and infrared(IR)thermography.A new index,Enhanced Infrared Matrix of Damage(EIMD),is defined by processing the noise-suppressed IR temperature matrices with Otsu thresholding,which highlights thermal anomalies associated with crack initiation and growth.On this basis,the correlative index Damage Infrared Energy Response(DIER)is further proposed,serving as a robust indicator of crack-induced radiative energy release.Based on these IR parameters,the integrated isolation forest model is constructed to identify anomaly points during damage evolution,enabling early failure prediction.Experimental results show that NCR exhibits 3.06%–6.2%higher peak strength than PCR across inclination angles of 15°–45°,and NCR-30°/45°retains residual load-bearing capacity through stress curve rebound.AE analyses reveal that PCR undergoes multiple sharp b-value drops in Stage Ⅲ,with an increasing inclination,whereas NCR maintains a rising b-value and a moderate Low Frequency(LF)ratio,reflecting an enhanced crack resistance ability.EIMD and DIER provide a reliable framework for quantifying rock damage,with anomalies in isolation forest prediction characterized by distinct DIER–EIMD patterns and crack morphologies.The integrated prediction model achieves early warning within 13–51 s(89%–99%peak stress(σpeak)),with NCR anomalies detected 6–10 s earlier than PCR,demonstrating the stabilizing role of NPR cables in delaying infrared precursors and restraining large-scale crack propagation.This study provides researchers with a new infrared thermography-based perspective for identifying precursors of rock fracture,offering a useful reference for future investigations on predicting the UCT failure behavior of anchored rocks.It also establishes an experimental and theoretical foundation for understanding the mechanical response and failure prediction of anchored composite roof strata in engineering applications. 展开更多
关键词 Rock fracture precursor Rock damage Image processing Infrared radiation(IR) Acoustic emission(AE) NPR cable Enhanced infrared matrix of damage(EIMD) Damage infrared energy response(DIER)
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Introduction to the Special Issue on Recent Advances in Signal Processing and Computer Vision 认领 引用
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作者 Bo Yang Chao Liu 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第5期33-36,共4页
Over the past decade, artificial intelligence, particularly deep learning, has fundamentally reshaped the fields of signal processing and computer vision. As mentioned in the introduction to this special issue, we are... Over the past decade, artificial intelligence, particularly deep learning, has fundamentally reshaped the fields of signal processing and computer vision. As mentioned in the introduction to this special issue, we are witnessing a significant paradigm shift. AI has evolved from recognizing the world through classification and detection to simulating it through generative models and synthesis. Most recently, AI has begun to impact the real world through embodied intelligence and robotic interaction. This special issue reflects this trajectory, presenting original research articles, reviews and methodological advances in areas such as multimodal learning, 3D vision, generative modelling, medical image analysis and autonomous systems.The 12 contributions included here reflect the current frontiers of AI, shedding light on the challenges and opportunities involved in bridging the gap between virtual intelligence and physical reality.Reliable and interpretable AI is of paramount importance in medical applications. This issue contains several papers that address various aspects of this challenge, ranging from signal-enhanced diagnosis to surgical perception and 3D reconstruction. 展开更多
关键词 deep learning robotic interaction signal processing computer vision generative models embodied intelligence recognizing world simulating
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Guidelines for visual cognitive rehabilitation of visual information processing disorders(2025) 认领 引用
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作者 Yi Shao Cong Zhang +6 位作者 Chun-Nan Zhang Expert Workgroup of Guidelines for VisualCognitive Rehabilitation of Visual Information Processing Disorders Ophthalmology&Optometry Branch of China Association for Ethnic Medicine Ophthalmology Committee ofInternational Association of Translational Medicine Ophthalmology Committee of InternationalAssociation of Intelligent Medicine Intelligent Medicine Special Committee of China MedicalEducation Association Chinese Visual Cognition Study Group 《International Journal of Ophthalmology(English edition)》 SCIE CAS 2026年第8期1484-1498,共15页
●Visual information processing(VIP)is essential for perception and cognition.It enables the brain to acquire and integrate visual stimuli into coherent representations.Visual information processing disorder(VIPD)is c... ●Visual information processing(VIP)is essential for perception and cognition.It enables the brain to acquire and integrate visual stimuli into coherent representations.Visual information processing disorder(VIPD)is characterized by impairments in visuospatial ability,visual analysis,and visuomotor integration.These deficits significantly affect daily activities,learning,and occupational performance.The etiology of these disorders is multifaceted,including developmental anomalies,traumatic brain injuries,ocular diseases,and surgical interventions.This condition involves multiple disciplines(ophthalmology,pediatrics,neurology,and rehabilitation),posing significant challenges for clinical diagnosis,treatment,and rehabilitation.Despite the growing international focus on these disorders,there remain considerable deficiencies in their diagnosis and treatment within China.Clinicians often have limited awareness of VIPD.Standardized diagnostic criteria are lacking,and rehabilitation approaches remain inconsistent.Visual abnormalities are often overlooked in pediatrics and neurology.In contrast,ophthalmology is limited in addressing disorders related to neurological dysfunction.In response to these challenges,this guide has been developed,drawing on the experiences of Europe and America and integrating local research and practice.It provides practical and systematic guidance for the diagnosis and management of VIPD.The objective is to enhance diagnostic and therapeutic capabilities,foster interdisciplinary collaboration,and improve patients’visual function and quality of life. 展开更多
关键词 visual information processing disorder visual cognition rehabilitation therapy guidelines
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Processing map for oxide dispersion strengthening Cu alloys based on experimental results and machine learning modelling 认领 引用 被引量：1
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作者 Le Zong Lingxin Li +8 位作者 Lantian Zhang Xuecheng Jin Yong Zhang Wenfeng Yang Pengfei Liu Bin Gan Liujie Xu Yuanshen Qi Wenwen Sun 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2026年第1期292-305,共14页
Oxide dispersion strengthened(ODS)alloys are extensively used owing to high thermostability and creep strength contributed from uniformly dispersed fine oxides particles.However,the existence of these strengthening pa... Oxide dispersion strengthened(ODS)alloys are extensively used owing to high thermostability and creep strength contributed from uniformly dispersed fine oxides particles.However,the existence of these strengthening particles also deteriorates the processability and it is of great importance to establish accurate processing maps to guide the thermomechanical processes to enhance the formability.In this study,we performed particle swarm optimization-based back propagation artificial neural network model to predict the high temperature flow behavior of 0.25wt%Al2O3 particle-reinforced Cu alloys,and compared the accuracy with that of derived by Arrhenius-type constitutive model and back propagation artificial neural network model.To train these models,we obtained the raw data by fabricating ODS Cu alloys using the internal oxidation and reduction method,and conducting systematic hot compression tests between 400 and800℃with strain rates of 10-2-10 S-1.At last,processing maps for ODS Cu alloys were proposed by combining processing parameters,mechanical behavior,microstructure characterization,and the modeling results achieved a coefficient of determination higher than>99%. 展开更多
关键词 oxide dispersion strengthened Cu alloys constitutive model machine learning hot deformation processing maps
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A Multi-Stage Pipeline for Date Fruit Processing: Integrating YOLOv11 Detection, Classification, and Automated Counting 认领 引用 被引量：1
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作者 Ali S.Alzaharani Abid Iqbal 《Computers, Materials & Continua》 SCIE EI 2026年第1期1327-1353,共27页
In this study,an automated multimodal system for detecting,classifying,and dating fruit was developed using a two-stage YOLOv11 pipeline.In the first stage,the YOLOv11 detection model locates individual date fruits in... In this study,an automated multimodal system for detecting,classifying,and dating fruit was developed using a two-stage YOLOv11 pipeline.In the first stage,the YOLOv11 detection model locates individual date fruits in real time by drawing bounding boxes around them.These bounding boxes are subsequently passed to a YOLOv11 classification model,which analyzes cropped images and assigns class labels.An additional counting module automatically tallies the detected fruits,offering a near-instantaneous estimation of quantity.The experimental results suggest high precision and recall for detection,high classification accuracy(across 15 classes),and near-perfect counting in real time.This paper presents a multi-stage pipeline for date fruit detection,classification,and automated counting,employing YOLOv11-based models to achieve high accuracy while maintaining real-time throughput.The results demonstrated that the detection precision exceeded 90%,the classification accuracy approached 92%,and the counting module correlated closely with the manual tallies.These findings confirm the potential of reducing manual labour and enhancing operational efficiency in post-harvesting processes.Future studies will include dataset expansion,user-centric interfaces,and integration with harvesting robotics. 展开更多
关键词 Date fruit cultivation YOLOv11 precision agriculture real-time processing automated fruit counting deep learning agricultural productivity
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Fenton-like catalysis of single-atom Co-N4 for polymeric transformation and recovery of benzohydroxamic acid in mineral processing wastewater 认领 引用
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作者 Wensheng Li Zhiqiang Sun +5 位作者 Yidi Chen Xiaoguang Duan Chuling Guo Zhi Dang Shih-Hsin Ho Shishu Zhu 《Chinese Chemical Letters》 SCIE CAS CSCD 2026年第5期580-586,共7页
Benzohydroxamic acid(BHA)occurs as recalcitrant organic pollutant discharged from mining industry.While Fenton-like oxidation based on peroxymonosulfate(PMS)has been extensively applied for organic contamination mitig... Benzohydroxamic acid(BHA)occurs as recalcitrant organic pollutant discharged from mining industry.While Fenton-like oxidation based on peroxymonosulfate(PMS)has been extensively applied for organic contamination mitigation,its conventional reaction pathway dependent on free radicals needs high energy input with elevated carbon emission.Here,we meticulously developed a novel single-atom catalyst featuring Co-N4coordination(Cox@NC)to initiate a non-radical Fenton-like oxidation for BHA treatment.Results showed single-atom Co-N4with the considerable Co content(>2 wt%)and quantitative N coordination displayed exceptional reactivity to activate PMS for BHA degradation with a turnover frequency>16 min-1.Such single-atom Co-N4formed a surface-reactive complexes with mild oxidation potential by coordinating with PMS to mediate electron transfer for oxidation of BHA.The mediated ETP further triggered polymerization transformation pathway of BHA through formation and coupling of phenoxylike radicals,resulting in a considerable recovery yield of BHA polymers(~43%)and superior utilization efficiency of PMS(~434%).Combined with ultrahigh-resolution mass analysis,the identified polymerized products illustrated the related polymerization mechanisms of BHA including hydroxylation,monomer radical generation,dimerization,and chain extension.Such Fenton-like catalysis of single-atom Co-N4exhibited more remarkable application potentials in mineral processing wastewater treatment compared to traditional Fenton reaction,reducing oxidant consumption and increasing organic carbon recovery.This study enhances development of resource-efficient Fenton-like oxidation technologies for mineral processing wastewater treatment. 展开更多
关键词 Fenton-like oxidation Single atom catalyst Mineral processing wastewater Electron transfer process Polymerization
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