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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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Design and optimization of weakly coupled multi-core fiber 认领 引用
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作者 ZHAN Yi WANG An +1 位作者 ZHANG Qing-long WANG Yi-han 《中国光学(中英文)》 EI CAS CSCD 北大核心 2026年第3期730-744,共15页
In order to achieve comprehensive,highly efficient,and multi-objective precise optimization of fiber structural parameters and further enhance the transmission capacity of optical communication systems,a homogeneous w... In order to achieve comprehensive,highly efficient,and multi-objective precise optimization of fiber structural parameters and further enhance the transmission capacity of optical communication systems,a homogeneous weakly coupled seven-core fiber based on trench-assisted structures is designed.Particle Swarm Optimization(PSO)is introduced to replace traditional empirical designs or local scanning methods.First,a multi-objective fitness function incorporating constraints such as dispersion,cutoff wavelength,ef-fective mode field area,and coating loss is established.Then,the algorithm performs a global search to pre-cisely determine the optimal structural parameters under standard dimensional constraints.Simulation results demonstrate that with a fiber core pitch of 45μm,the optimized fiber achieves an ultra-low inter-core crosstalk of below−90 dB/km at a wavelength of 1550 nm.This design scheme not only effectively resolves the conflict between crosstalk suppression and spatial utilization in multi-core fibers but also proves the effi-ciency and reliability of the PSO algorithm in complex fiber structural design,providing an important theor-etical basis and technical support for the research and manufacturing of ultra-large-capacity optical commu-nication systems. 展开更多
关键词 multi-core fiber particle swarm optimization trench-assisted inter-core crosstalk space divi-sion multiplexing
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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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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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Effects of processing treatments on corn starch retrogradation and strategies for its control:a review 认领 引用
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作者 Junyi Li Yakai He +6 位作者 Dan Zhao Xiaomei Huang Xiaotian Chen Yijun Liu Chenyang Zhu Chenxuan Wu An Xie 《Food Quality and Safety》 SCIE CAS CSCD 2026年第2期323-336,共14页
Corn starch,constituting approximately 70%of the dry weight of kernels,fundamentally determines the quality of cornbased products,with its retrogradation being a primary factor in staling.This review systematically sy... Corn starch,constituting approximately 70%of the dry weight of kernels,fundamentally determines the quality of cornbased products,with its retrogradation being a primary factor in staling.This review systematically synthesizes the mechanisms by which diverse processing methods,including thermal(e.g.heat-moisture and dry heat treatment),nonthermal(e.g.ionizing irradiation and ultrasonic waves),and storage(e.g.low temperature)techniques,govern the retrogradation of corn starch.A key finding is that the impact of these methods is highly specific:heat-moisture treatment reorganizes molecular architecture,often inhibiting long-term retrogradation,whereas microwave and irradiation technologies primarily inhibit retrogradation through the selective degradation of amylopectin branches.Furthermore,this review critically evaluates strategies to retard retrogradation,such as incorporating nonstarch carbohydrates,polyphenols,and emulsifiers.The use of additives is contingent on their specific interaction mechanisms,such as helical complexation with lipids or spatial hindrance from polysaccharides,which disrupt the reassociation of starch chains.By analyzing corn starch processing methods and additive interventions,this review provides a foundational framework for the targeted manipulation of starch functionality.Additionally,practical insights are provided for extending product shelf-life and developing novel,high-value-added corn starch products. 展开更多
关键词 corn starch retrogradation processing characteristics molecular mechanisms
Modulating starch digestion kinetics via feed processing:Implications for growth and metabolism in weaned pigs 认领 引用
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作者 Nan Zhang Shuang Dong +3 位作者 Shuyu Peng Bing Dong Crystal LLevesque Yongxi Ma 《Animal Nutrition》 SCIE CAS CSCD 2026年第2期99-109,共11页
This study aimed to explore the effect of starch digestion kinetics on growth performance,serum biochemical indices,intestinal digestive function and protein deposition of weaned pigs.A total of 120weaned pigs(Duroc&#... This study aimed to explore the effect of starch digestion kinetics on growth performance,serum biochemical indices,intestinal digestive function and protein deposition of weaned pigs.A total of 120weaned pigs(Duroc×Landrace×Yorkshire,aged 35 d,weighted 9.00±0.48 kg)were randomly divided into 3 treatments:corn,the main starch source(66.7%)of diets,was processed as ground,steam-flaked,or extruded.The feed was offered as pellets.The trial lasted for 28 d.Extru sion and steamflaking can accelerate the starch digestion rate,and diets with extruded corn significantly increased serum glucose concentrations at 1 and 2 h postprandial(P≤0.05).Compared with the ground corn treatment,the steam-flaked corn diet led to a significant decrease in the average daily feed intake(ADFI)of piglets from day 1 to 14(P=0.009),and the extruded corn diet resulted in a reduction in average daily gain(ADG;P=0.057)and ADFI(P=0.012)of piglets from day 15 to 28.Additionally,both the steam-flaked corn diet and the extruded corn diet significantly reduced the ADFI of piglets during day 1to 28 compared with the ground corn diet(P=0.002).Moreover,lower serum albumin(ALB)concentration was observed in piglets fed the steam-flaked corn diet than those fed the ground corn diet on day 14(P=0.005).The serum glucagon(GCG)concentration was higher(P=0.004)in piglets fed the ground corn diet than in those fed the steam-flaked corn diet or the extruded corn diet on day 28.In addition,on day 28,the concentration of ghrelin in the extruded corn group and the concentration of aspartate aminotransferase(AST)in the steam-flaked corn group were both increased(P0.05)on expression of genes and proteins related to protein synthesis in longissimus thoracis.The results indicated that starch digestion kinetics can be effectively adjusted by feed processing,where piglets perform worse on diets with a rapid starch digestion.A relatively slow but continuous supply of glucose could spare amino acids from being catabolized in the intestinal mucosa,which may be better for piglet performance. 展开更多
关键词 Feed processing Nutrient utilization Performance Piglet Starch digestion kinetic
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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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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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Biomimetic visual perception system based on InAlZnO optoelectronic neuromorphic array for static image processing and dynamic trajectory perception 认领 引用
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作者 Fan Yang Zepeng Li +2 位作者 Cong Wang Xiao Feng Yang Li 《Science China Materials》 SCIE EI CAS CSCD 2026年第8期5048-5060,共13页
Vision is a vital means for humans to perceive the environment,with 80%of information from visual perception.Developing visual systems approaching or surpassing human-level vision plays an indispensable role in advanc... Vision is a vital means for humans to perceive the environment,with 80%of information from visual perception.Developing visual systems approaching or surpassing human-level vision plays an indispensable role in advancing autonomous driving,intelligent security,and other fields.Optoelectronic neuromorphic devices,integrating sensing and memory,are promising for emulating human vision.This study constructs a biomimetic visual system based on a 16×16 InAlZnO optoelectronic neuromorphic array with oxygen vacancy gradients.Under multi-factor modulation(oxygen vacancy concentration differences,Ag ions,heterojunction interfaces),the device achieves electrical/optical conductance tunability.Integrated with external circuits and a field-programmable gate array,the system successfully emulates human vision capabilities:image memory,denoising,attention mechanism,and motion state perception(direction,speed,color).Image digit recognition based on visual attention reaches 97.15%accuracy,and motion state recognition reaches 100%.This system will promote bionic vision development and application,paving the way for high-performance neuromorphic vision systems surpassing the human eye. 展开更多
关键词 InAlZnO optoelectronic neuromorphic device array biomimetic visual perception system image processing motion perception
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Tailoring layer-by-layer gradient porous ultra-thick electrodes via solvent-free processing method for high-areal-capacity and high-rate lithium-ion batteries 认领 引用
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作者 Haotian Yang Jinke Shen +9 位作者 Nan Qin Yaoxin Du Yuhan An Chen Hu Yifan Li Wenlong Cai Cunman Zhang Zonghai Chen Jim P.Zheng Liming Jin 《Chinese Chemical Letters》 SCIE CAS CSCD 2026年第7期634-639,共6页
Ultra-thick electrodes(UTEs)hold great promise for high-energy-density lithium-ion batteries(LIBs),yet the practical application is hindered by challenges in precise fabrication and reaction kinetics modification.In t... Ultra-thick electrodes(UTEs)hold great promise for high-energy-density lithium-ion batteries(LIBs),yet the practical application is hindered by challenges in precise fabrication and reaction kinetics modification.In this contribution,a solvent-free processing method is introduced to tailor UTEs through layerby-layer fabrication with positive,uniform,and negative gradient porosity from the separator side to the current collector side,denoted as P-UTEs,U-UTEs,and N-UTEs.In contrast to conventional slurry coating,the proposed solvent-free approach effectively circumvents capillary stress,thereby facilitating the fabrication of crack-free UTEs(>300μm)while simultaneously mitigating environmental toxicity concerns.The three-layer N-UTEs(>220μm)with a gradient porosity of(~34%,~31%,~27%)deliver an exceeding areal capacity over 5 m Ah/cm2 at 0.29 mA/cm2 and a high-capacity retention over 62% at 2.9 m A/cm2,indicating a favorable balance between the areal capacity and the high-rate behavior.Detailed mechanistic simulations reveal that the multi-center reaction pathways enabled by enhanced ionic accessibility in N-UTEs significantly improve reaction kinetics.This work offers new insights into the gradient porosity tailoring for high-areal-capacity and high-rate UTEs for the next generation LIBs. 展开更多
关键词 Gradient porous structure Electrode kinetics Ultra-thick electrodes Solvent-free processing method Lithium-ion battery
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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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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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From evidence-based guidelines to practice:Using natural language processing to identify impactful interventions in falls prevention 认领 引用
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作者 Shanoja Naik Hasitha Wimalarathna +1 位作者 Alexa Parousis Doris Grinspun 《International Journal of Nursing Sciences》 CSCD 2026年第3期299-306,I0003,I0004,共8页
Objectives This study aimed to identify and characterize implementation strategies for falls prevention in long-term care(LTC)homes using natural language processing(NLP)with a focus on the Registered Nurses’Associat... Objectives This study aimed to identify and characterize implementation strategies for falls prevention in long-term care(LTC)homes using natural language processing(NLP)with a focus on the Registered Nurses’Association of Ontario’s(RNAO)Preventing Falls and Reducing Injury from Falls(2017)Best Practice Guideline(BPG).Methods A retrospective quality improvement study was conducted using narrative reports submitted to RNAO MyBPSO reporting system from 63 Ontario LTC homes(2017 to 2022).Free-text data describing implementation activities were analyzed using an NLP pipeline that included text preprocessing,tokenization,and keyword extraction using Rapid Automatic Keyword Extraction(RAKE).Extracted terms were aggregated into candidate themes and further analyzed using a lexicon-informed sentiment analysis approach adapted for clinical language.Themes were iteratively refined through a structured consensus process involving multidisciplinary experts.Inter-rater agreement was assessed using Cohen’s kappa.Results A total of 153 reports generated 235 preliminary themes,which were refined through sentiment analysis and expert consensus into 10 themes.Commonly identified strategies included falls risk assessment,fall prevention strategies,risk factors of falls,care plan development,post-fall assessments,falls tools,fall documentation,education and training,huddles,organizational policies,rounding,reflecting substantial uptake of key BPG recommendations.Sentiment analysis demonstrated predominantly neutral or positive sentiments across implementation narratives,with variability indicating differences in implementation experience.Gaps were most evident in documentation,i.e.,post-fall follow-up actions and policy-level strategies,suggesting opportunities to strengthen implementation fidelity.Conclusions The study identified a core set of frequently implemented falls prevention strategies in LTC settings.These findings provide actionable guidance for clinical practice by emphasizing the need to standardize risk screening and reassessment processes,strengthen post-fall evaluation and follow-up,improve documentation systems to support continuity of care,and implement ongoing,competency-based education for staff.Together,these targeted strategies can support more consistent translation of evidence-based guidelines into routine practice and enhance quality-improvement efforts in falls prevention in LTC settings. 展开更多
关键词 Artificial intelligence Best practice guideline Falls Implementation science Long-term care Natural language processing Nursing
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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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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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Advanced processing and heat treatment of magnesium alloys:a quest for the critical breakthrough to large-scale applications 认领 引用
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作者 Frank Czerwinski 《Journal of Magnesium and Alloys》 SCIE EI CAS CSCD 2026年第7期1-4,共4页
Expanding the applications of magnesium alloys relies on developing economically viable processing techniques to transform the raw state material into finished products to satisfy requirements of evolving markets.Alth... Expanding the applications of magnesium alloys relies on developing economically viable processing techniques to transform the raw state material into finished products to satisfy requirements of evolving markets.Although there are many barriers to magnesium processing,they are intrinsically linked to its inherently low formability due to hexagonal close-packed crystal structure and high affinity for oxygen,including the ignition-flammability concerns[1,2](Fig.1). 展开更多
关键词 advanced processing magnesium alloys economically viable processing techniques formability raw state material oxygen affinity ignition flammability heat treatment
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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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