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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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小麦NLP转录因子的表达特点及其在不同氮效小麦品种中的差异 认领 引用
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作者 李会强 肖福星 +6 位作者 王露露 能芙蓉 韦一昊 焦浩 张茜 都圳 王小纯 《河南农业大学学报》 CAS CSCD 北大核心 2026年第1期23-34,共12页
【目的】鉴定小麦转录因子NLP(NIN-like protein),探索其在不同氮效小麦中的表达特点,为提高小麦氮素利用效率提供理论依据。【方法】基于NLP的保守结构域RWP-RK和PB1在WheatOmics 1.0网站鉴定小麦NLP,利用生物信息学软件对其染色体分... 【目的】鉴定小麦转录因子NLP(NIN-like protein),探索其在不同氮效小麦中的表达特点,为提高小麦氮素利用效率提供理论依据。【方法】基于NLP的保守结构域RWP-RK和PB1在WheatOmics 1.0网站鉴定小麦NLP,利用生物信息学软件对其染色体分布、进化关系等进行分析。利用氮高效品种‘周麦27’(ZM27)和氮低效品种‘矮抗58’(AK58)在减氮(120 kg·hm-2,N8)和正常氮(225 kg·hm-2,N15)处理下的转录组数据,分析拔节期TaNLP家族成员的表达特点。【结果】小麦有18个NLP,在A、B、D染色体上呈现出不均匀分布,依据进化分析可分为4个亚家族,大部分定位于细胞核。不同氮效品种在不同氮处理下叶片中TaNLP无显著差异,而在根中表达存在差异。正常氮条件下TaNLP6D在ZM27根系中特异表达,减氮条件下TaNLP4B.2、TaNLP5A.2和TaNLP5D在AK58根系中特异表达;减氮条件下TaNLP3A和TaNLP3D在ZM27和AK58根系中均有较高表达量,TaNLP2A和TaNLP2B在ZM27根系中受氮水平正向调控,而在AK58中却相反。【结论】不同氮效小麦品种NLP家族成员在根系表达方面存在显著差异,并受施氮量影响,可能在调控小麦苗期根系氮素吸收中起重要作用。 展开更多
关键词 小麦 NLP转录因子 氮处理 表达特点
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An NLP-Based Neuro-Semantic Clinical Filter for Medical Text Simplification 认领 引用
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作者 Akmalbek Abdusalomov Kudratjon Zohirov +6 位作者 Azizbek Khojamurotov Furkat Safarov Alpamis Kutlimuratov Jasur Sevinov Zavqiddin Temirov Abror Buriboev Heung Seok Jeon 《Computers, Materials & Continua》 SCIE EI 2026年第9期614-641,共28页
Medical texts are often complex and difficult to understand for non-specialists,creating barriers to effective communication in the clinical and rehabilitation fields.Although recent advances in natural language proce... Medical texts are often complex and difficult to understand for non-specialists,creating barriers to effective communication in the clinical and rehabilitation fields.Although recent advances in natural language processing(NLP)have enabled automated text simplification,existing approaches often struggle to maintain medical accuracy and frequently result in factual inconsistencies or distortions.To address these issues,we propose the Neuro-Semantic Clinical Filter(NSCF),a novel NLP-based framework designed for clinically accurate simplification of medical texts.The proposed method integrates a Medical Concept Graph Encoder(MCGE)to incorporate structured domain knowledge,a Neuro-Symbolic Transformer(NSTR)for supervised text generation,and a Knowledge Integrity Validator(KIV)to ensure factual consistency during decoding.Furthermore,an adaptive module(ClinAdapt)enables text personalization based on patient profiles and comprehension levels.Extensive experiments were conducted on several medical text corpora,comparing NSCF with modern baseline models,including BART,T5,and domain-specific variants.Experimental results show that the NSCF demonstrates improved performance across several metrics,including a SARI score of 47.2,a BERTS score of 91.6,and a factual alignment ratio(FAR)of 88.1.Human evaluation further confirms improvements in reading fluency,accuracy,and clinical applicability.These results highlight the effectiveness of the proposed approach in bridging the gap between complex medical language and patient-level understanding,providing a robust and interpretable solution for real-world healthcare applications. 展开更多
关键词 Patient health literacy factuality preservation biomedical knowledge graphs controlled language generation explainable clinical NLP
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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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相似度求解下智能客服NLP文本关键词提取算法 认领 引用
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作者 吴秋佳 周志娥 王云 《电子设计工程》 2026年第11期177-180,186,共4页
为解决智能客服在运用自然语言处理(Natural Language Processing,NLP)文本分析技术时因词汇链强度、位置与跨度复杂导致关键词提取精度不足的问题,提出基于相似度求解的智能客服NLP文本关键词提取算法。利用NLP技术分析智能客服文本,... 为解决智能客服在运用自然语言处理(Natural Language Processing,NLP)文本分析技术时因词汇链强度、位置与跨度复杂导致关键词提取精度不足的问题,提出基于相似度求解的智能客服NLP文本关键词提取算法。利用NLP技术分析智能客服文本,挖掘文本语义。根据语义义原的上下位关系建立义原树,基于义原相似度与概念相似度求解词相似度。结合词相关度与扩展度构造词汇链,根据词所处词汇链的强度与词的位置、跨度等计算词权重并按权重降序排列,提取出智能客服NLP文本的关键词。实验结果表明,针对电力公司智能客服系统的测试,所提算法在NLP关键词提取上,词语相似度集中在0.98~1.0区间,支持关键词提取;提取结果与人工标注一致,准确率高。 展开更多
关键词 智能客服 NLP 相似度求解 关键词提取
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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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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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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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基于自然语言处理(NLP)技术的药学专业个性化学习平台开发与应用 认领 引用
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作者 李艳春 马恩龙 《高等药学教育研究》 2026年第2期41-48,共8页
在全球化与科技革命的双重驱动下,药学教育快速发展,而传统教学模式却因循守旧,暴露出诸多不适应现代需求的缺陷。如教学内容针对性不足、学习效率较低等问题日益凸显。针对药学专业课程内容复杂、学科交叉程度高的特点,笔者基于自然语... 在全球化与科技革命的双重驱动下,药学教育快速发展,而传统教学模式却因循守旧,暴露出诸多不适应现代需求的缺陷。如教学内容针对性不足、学习效率较低等问题日益凸显。针对药学专业课程内容复杂、学科交叉程度高的特点,笔者基于自然语言处理(NLP)技术开发了药学专业个性化学习平台。平台集成智能问答、学习资源推荐、自适应测试和学习行为分析等功能,通过语义分析、文本挖掘和机器学习等技术,为学生提供精准的学习资源推荐和个性化学习体验。本研究旨在提升学生学习效率和效果,同时,为教师优化教学策略提供数据支持,为药学教育的智能化与个性化发展提供新思路。未来,将进一步优化平台功能,拓展其应用领域,以促进药学教育的全方位革新。 展开更多
关键词 自然语言处理(NLP) 药学教育 个性化学习 智能问答系统 学习资源推荐 自适应测试 学习行为分析 教学策略优化
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基于PMC-NLP的轨道交通多网融合政策分析 认领 引用
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作者 陈维亚 罗沁婵 袁子越 《铁道工程学报》 EI CSCD 北大核心 2026年第5期97-101,共5页
研究目的:轨道交通多网融合政策是政府促进区域协调发展的重要手段,识别其内容特征、揭示其设计规律,可为完善轨道交通多网融合政策体系、提升政策制定的科学性提供理论支撑。本文将自然语言处理技术与PMC指数模型结合,构建PMC-NLP指数... 研究目的:轨道交通多网融合政策是政府促进区域协调发展的重要手段,识别其内容特征、揭示其设计规律,可为完善轨道交通多网融合政策体系、提升政策制定的科学性提供理论支撑。本文将自然语言处理技术与PMC指数模型结合,构建PMC-NLP指数模型,对我国轨道交通多网融合政策文本进行系统性分析与量化评价,旨在为轨道交通政策优化提供数据支持与决策依据。研究结论:(1)轨道交通多网融合政策可分为“区域交通一体化”“轨道交通工程建设”“多网融合引导都市发展”三大主题;(2)国家级的轨道交通多网融合政策呈现“框架设计-领域扩展-纵深推进-精细调整”的阶段性演进特征;(3)轨道交通多网融合的省市级政策在空间分布上具有显著集聚性,政策数量与质量在地理邻近区域中表现出趋同性;(4)本研究结果可为轨道交通多网融合政策的精准优化提供参考。 展开更多
关键词 轨道交通多网融合政策 PMC-NLP指数模型 政策评价 文本挖掘
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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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NLP-EA-AI综合框架在广西职业本科教育心理辅导与智能化教学中的应用 认领 引用
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作者 欧文辉 《科技风》 2026年第10期102-104,共3页
广西职业本科院校面向“产教深融、文理并重”的现实需求,正迎来心理健康教育与课堂教学双线升级的契机。本文提出一套整合自然语言处理(NLP)、教育分析(EA)与人工智能(AI)的校本平台,尝试在“识别-分析-干预-反馈”四环链路中嵌入四种... 广西职业本科院校面向“产教深融、文理并重”的现实需求,正迎来心理健康教育与课堂教学双线升级的契机。本文提出一套整合自然语言处理(NLP)、教育分析(EA)与人工智能(AI)的校本平台,尝试在“识别-分析-干预-反馈”四环链路中嵌入四种智能模块:情绪语义解析、学习画像建模、教学场景自适应推送和危机预警闭环。项目落地经过半年试运行,呈现出学生心理风险降低、课堂互动提升、教师负担缓解的多维成效。本文在梳理关键技术的同时,讨论了边缘计算、省域方言处理与伦理治理等议题,并基于真实测评数据提供了有效的推广路径。 展开更多
关键词 NLP EA AI 职业本科 教育
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