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The First Detection of Shipborne Ozone Soundings in the South China Sea 认领 引用
1
作者 Dan LI Jian-Chun BIAN +3 位作者 Zhi-Xuan BAI Zhi-Yuan OUYANG Jing-He CAO Zhi QIAO 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2026年第2期398-404,共7页
The first shipborne ozone soundings(0–30 km) campaign in the South China Sea was conducted from 22 May to 15 June 2023, aiming to better investigate the ozone vertical structure over the South China Sea. Results show... The first shipborne ozone soundings(0–30 km) campaign in the South China Sea was conducted from 22 May to 15 June 2023, aiming to better investigate the ozone vertical structure over the South China Sea. Results show that ozone concentrations in the boundary layer over the South China Sea are higher than those at tropical marine sites. Balloon measurements revealed finer ozone lamina structures that satellite and reanalysis data could not reproduce. Notably, ozone in the upper troposphere(~13.5 km) decreased significantly due to transport by a tropical cyclone, while it increased slightly in the middle troposphere. These measurements provide valuable insights into ozone's chemical structure and support the need for long-term monitoring of the vertical evolution of ozone from the surface to the middle stratosphere over oceanic regions. 展开更多
关键词 shipborne balloon ozone soundings South China Sea tropical cyclone
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Broadband low-frequency sound absorption via a cross-bridged hex acoustic metamaterial with extended necks 认领 引用
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作者 YAN Hong-yu XIE Su-chao +2 位作者 WANG Kui ZHANG Feng-yi JING Kun-kun 《Journal of Central South University》 SCIE EI CAS CSCD 2026年第2期987-996,共10页
To simultaneously address low to mid frequency noise absorption and stringent thickness constraints,a novel cross-bridged hex structure with embedded necks was developed from conventional honeycombs.The acoustic perfo... To simultaneously address low to mid frequency noise absorption and stringent thickness constraints,a novel cross-bridged hex structure with embedded necks was developed from conventional honeycombs.The acoustic performance of these metamaterials was systematically investigated via theoretical analysis,experimental verification,and numerical simulation.Results demonstrate that an exponential 2 penalty factor objective achieves superior uniformity of sound absorption within 500−1000 Hz band,surpassing both average-driven and multi-level reward methods.Among the four tested optimization algorithms,a hybrid CMAES+LBFGS scheme reduced the final penalty by up to 98%,highlighting its capacity for effectively navigating the complex design space of cross-bridged structures. 展开更多
关键词 cross-bridged hex acoustic metamaterial mid-low frequency CMAES-LBFGS sound absorption performance
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Application and Assessment of a Complex,Stratified Sediment Geoacoustic Model for Far-Field Sound Propagation 认领 引用
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作者 YANG Chunmei LIU Zongwei +3 位作者 LI Guanbao JIANG Ying YANG Guangbing LV Liangang 《Journal of Ocean University of China》 SCIE CAS CSCD 2026年第3期935-946,共12页
The application of an actual stratified geoacoustic model for sound propagation is quantitatively assessed using joint geoacoustic and hydroacoustic survey experimental data from the South China Sea.Three sound propag... The application of an actual stratified geoacoustic model for sound propagation is quantitatively assessed using joint geoacoustic and hydroacoustic survey experimental data from the South China Sea.Three sound propagation models,namely,the ray model BELLHOP,the parabolic equation model RAM,and the normal mode model KRAKENC,are applied individually to characterize an actual complex,stratified geoacoustic model and subsequently calculate the sound transmission loss along the survey line.The simulated transmission losses from the three sound propagation models are compared with the measured results to assess their capabilities,particularly computational accuracy and efficiency,in handling complex geoacoustic environments.The influence of the seabed’s stratified structure and its diverse geoacoustic parameters on sound propagation is also analyzed by calculating the root mean square error between the theoretical and measured sound propagation losses.The compatibility of the actual stratified geoacoustic model with sound field predictions is enhanced through a sensitivity analysis of the above parameters,ultimately leading to the development of a finely calibrated geoacoustic model. 展开更多
关键词 geoacoustic model sound propagation model stratified sediment sensitivity analysis acoustic attenuation coefficient
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Sound-absorbing continuous fiber-reinforced composite metastructure 认领 引用
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作者 Yilong Yang Yafeng Liu +4 位作者 Shuangshuang Miao Yongdong Pan Wei Zhai Xiaoying Zhuang Yabin Jin 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2026年第3期791-804,共14页
Noise mitigation in applications involving extreme environments with combined structural strength and acoustic control,such as aerospace,transportation,and construction,faces critical challenges due to the trade-off b... Noise mitigation in applications involving extreme environments with combined structural strength and acoustic control,such as aerospace,transportation,and construction,faces critical challenges due to the trade-off between sound absorption and mechanical integrity.Traditional porous absorbers offer good acoustic performance but are structurally weak,lacking the stiffness and durability needed for load-bearing applications.Moreover,their performance in the low-frequency range often requires bulky designs,limiting their use in compact or weight-sensitive systems.In this study,we introduce a multifunctional composite metastructure that combines a Fabry-Pérot acoustic channel design with a custom-developed continuous fiber-reinforced additive manufacturing process.Using a dual-nozzle robotic arm and path-optimized printing,we fabricate a compact metastructure capable of broadband noise absorption and high mechanical robustness.The metastructure achieves an average sound absorption coefficient exceeding 0.9 across 1500-5500 Hz,as confirmed by coupled-mode theory and impedance tube experiments.We further demonstrate that continuous fiber reinforcement significantly enhances the bending,compression,and shear performance of the composite metastructure compared with its short fiber counterpart.This work offers a scalable platform for advanced multifunctional materials with strong potential in extreme environments,such as aerospace noise control,advanced transport systems,and lightweight architectural design. 展开更多
关键词 composite additive manufacturing metastructure sound absorption continuous fiber-reinforced composite
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Fractal-Based Acoustic Metamaterials Coupling with Micro-Perforation for Low-Frequency Sound Absorption 认领 引用
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作者 Dongxing Cao Liming Wang +3 位作者 Junru Wang Jianfei Wang Xiangying Guo Shuai Huang 《Acta Mechanica Solida Sinica》 SCIE EI CSCD 2026年第2期201-217,共17页
Acoustic metamaterials(AMs)exhibit outstanding sound absorption performance due to their customizable design.In this work,a low-frequency sound-absorbing metamaterial plate,which combines a fractal-based labyrinth aco... Acoustic metamaterials(AMs)exhibit outstanding sound absorption performance due to their customizable design.In this work,a low-frequency sound-absorbing metamaterial plate,which combines a fractal-based labyrinth acoustic metamaterial(FLAM)and a micro-perforation panel,is proposed.The theoretical,simulation,and experimental methods are used to comprehensively examine the sound absorption performance.A triangular fractal curve is first introduced,and the combined FLAM model is constructed.An equivalent straight channel model is developed to study the effects of the structural parameters on the sound absorption coefficients.The finite element analysis(FEA)is further conducted to validate the theoretical results.All the findings indicate that the proposed combined FLAM exhibits excellent sound absorption performance at a deep sub-wavelength scale,with absorption coefficients of 0.89,0.98,and 1.00 for the first three fractal orders,respectively.Finally,the prototypes are fabricated,and the impedance tube experiments are conducted,yielding results that align closely with both analytical and FEA results.Notably,the sound absorption performance of large-area sound-absorbing plates is also investigated by splicing two/four FLAMs together,demonstrating a relative absorption bandwidth exceeding 35%.This work offers a viable alternative to low-frequency sound-absorbing materials for potential engineering applications. 展开更多
关键词 Fractal-based acoustic metamaterial(AM) Low-frequency sound absorption Deep sub-wavelength Impedance tube experiment
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Predicting gastrointestinal bleeding and audio biomarkers based on machine learning analysis of bowel sounds 认领 引用
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作者 Lei Zhang Meng-Yue Wang +6 位作者 Shi-Yu Wei Cheng Su Sen-Yi Hu Xiao-Yang Ren Ya-Ping Liu Chang Liu Yong Wan 《World Journal of Gastroenterology》 SCIE CAS 2026年第14期81-95,共15页
BACKGROUND Early diagnosis of upper gastrointestinal bleeding(UGIB)relies on invasive endoscopy and laboratory tests,which carry procedural risks and diagnostic delays.The pathophysiological relationship between bowel... BACKGROUND Early diagnosis of upper gastrointestinal bleeding(UGIB)relies on invasive endoscopy and laboratory tests,which carry procedural risks and diagnostic delays.The pathophysiological relationship between bowel sounds(BSs)as a noninvasive monitoring metric and UGIB remains to be elucidated.AIM To investigate the feasibility of BS acoustic signatures as UGIB screening biomarkers,analyze their pathological correlations with hematological indices,and construct a machine learning-assisted diagnostic model.METHODS A prospective study enrolled 40 UGIB patients(endoscopy-confirmed within 24 hours)and 40 age-/sex-matched healthy controls.BS signals were recorded at the right lower umbilical quadrant using a G-200 device(60 seconds/subject,4 kHz sampling).After denoising via variational mode decomposition,78-dimensional features were extracted across four domains:Time-domain,frequency-domain,time-frequency domain,and nonlinear dynamics.Weighted feature importance was calculated using an integrated strategy and gradient-optimized feature subsets were used to train four classifiers:Support vector machine,random forest,logistic regression,and K-nearest neighbor.SHapley Additive exPlanations analysis was conducted on the features of the optimal model.Model performance was evaluated by fivefold cross-validation.Spearman’s correlation analysis was performed to assess key BS features against red blood cell count,hemoglobin,hematocrit,C-reactive protein(CRP),and high-sensitivity CRP.RESULTS The support vector machine classifier with 25-feature subsets achieved optimal performance(area under the curve>0.89),significantly outperforming other models.Acoustic feature importance analysis identified band_Energy and Mel-frequency cepstral coefficient variance as core biomarkers(cumulative contribution>60%).Key pathological correlations included:(1)Significant negative correlations between spectral centroid and red blood cell count/hemoglobin/hematocrit(P<0.01);(2)Positive correlation between wavelet entropy and these hematological parameters(P<0.05),suggesting multiscale microcirculatory flow fluctuations;and(3)Positive wavelet energy correlations with CRP/high-sensitivity-CRP(P<0.05).CONCLUSION Multidimensional BS features enable noninvasive UGIB screening.Their strong correlation with anemia/inflammation indicators reveals an acoustic-hemato-physiological coupling mechanism,providing a novel paradigm for early UGIB monitoring. 展开更多
关键词 Bowel sound analysis Upper gastrointestinal bleeding Support vector machine Machine learning Non-invasive diagnosis
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Global patterns of diel vertical migration:a comparative synthesis using sound scattering layer observations 认领 引用
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作者 Minghua Xue Jianfeng Tong 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2026年第1期1-17,共17页
The sound scattering layer(SSL)is a widespread acoustic characteristic in the global ocean,primarily formed by densely distributed zooplankton and small pelagic fish.As an important component of the marine ecosystem,t... The sound scattering layer(SSL)is a widespread acoustic characteristic in the global ocean,primarily formed by densely distributed zooplankton and small pelagic fish.As an important component of the marine ecosystem,the SSL plays a crucial role in vertical energy transfer,carbon flux,and food web interactions.Diel vertical migration(DVM)is the primary behavioral characteristic of the SSL,driven by a combination of environmental and biological factors,including illumination,water temperature,dissolved oxygen concentrations,food availability,and predation pressure.However,due to limitations in long-term observation capacity,the accumulation of acoustic data,and differences in regional research priorities,the depth of understanding of SSLs varies among different marine regions.This review systematically examines the composition,classification,and DVM characteristics of SSLs,with a particular focus on their research status in the Pacific Ocean,the Atlantic Ocean,the Indian Ocean,the polar seas,and the coastal ocean of China.The knowledge of survey status,biological composition,distribution patterns,and DVM behaviors in these regions provides a scientific foundation for advancing the understanding of SSL dynamics.It also supports the sustainable development and management of fishery resources under climate and marine environmental change. 展开更多
关键词 sound scattering layer deep scattering layer diel vertical migration fishery acoustic marine ecosystem zooplankton
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EEG Spectral Analysis of Tinnitus Sound Therapy:Meta-Analysis 认领 引用
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作者 Xueyan Wang Sisi Liu +3 位作者 Yanjun Jia Bowen Chen He Qin Xin Li 《Journal of Otology》 CSCD 2026年第2期106-112,共7页
Background Chronic subjective tinnitus affects 15–20%of adults globally,with 3–5%experiencing severe quality-of-life impairment.Sound therapy(ST)is a core intervention,but its neuromodulatory mechanisms remain incom... Background Chronic subjective tinnitus affects 15–20%of adults globally,with 3–5%experiencing severe quality-of-life impairment.Sound therapy(ST)is a core intervention,but its neuromodulatory mechanisms remain incompletely characterized due to the lack of objective biomarkers.Methods Following PRISMA guidelines,we systematically searched PubMed,Web of Science,Embase,and other databases(1977-2025)for randomized controlled trials(RCTs)investigating ST effects on EEG spectral power in tinnitus patients.Inclusion criteria required pre/post-ST EEG data in delta(0.5-4 Hz)and alpha(8-14 Hz)bands.Two independent reviewers extracted data and assessed bias using Cochrane tools.Standardized mean differences(SMDs)with 95%confidence intervals(CIs)were pooled via fixedandom-effects models.Results Two RCTs(n=71 patients)met inclusion criteria.Post-ST,the intervention group showed non-significant trends toward increased delta(SMD=0.11,95%CI:[-0.40,0.62],P=0.67)and alpha(SMD=0.09,95%CI:[-0.41,0.60],P=0.72)power.Between-group analyses revealed greater alpha enhancement in customized ST versus controls(SMD=0.40,95%CI:[-0.12,0.91],P=0.13;I2=39%).Alpha changes demonstrated moderate consistency across studies(I2=39%,P=0.19).Conclusion ST induces measurable delta/alpha power modulation,suggesting enhanced inhibitory neurotransmission and attentional regulation.While statistical significance was limited by sample size,these trends support EEG as a tool for objective treatment monitoring.We propose a“dual-band synergistic neuromodulation”framework:ST concurrently suppresses pathological hyperexcitability and potentiates slow-wave inhibition.Standardized EEG protocols and longitudinal validation are critical for advancing precision tinnitus therapeutics. 展开更多
关键词 tinnitus sound therapy electroencephalography meta-analysis neuromodulation biomarkers
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Prediction of in situ seafloor sediment sound speed with machine learning 认领 引用
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作者 Mujun CHEN Linqing ZHANG +9 位作者 Xinfeng HU Xiangmei MENG Guangming KAN Siyou TONG Jingqiang WANG Guanbao LI Baohua LIU Qingfeng HUA Siqi WU Xiaobo ZHANG 《Journal of Oceanology and Limnology》 SCIE CAS CSCD 2026年第3期963-977,共15页
The acoustic properties of seafloor sediments are crucial for accurate acoustic field prediction,seafloor resource exploration,and marine disaster prevention.However,traditional prediction equations,often based on lab... The acoustic properties of seafloor sediments are crucial for accurate acoustic field prediction,seafloor resource exploration,and marine disaster prevention.However,traditional prediction equations,often based on laboratory-measured sound speeds,suffer from low precision and discrepancies with in situ measurements.To address these issues,we employed eXtreme Gradient Boosting(XGBoost)machine learning algorithms to develop high-precision in situ sound speed prediction models for seafloor sediments.The models were constructed using in situ sound speed and sediment physical property data(density,water content,porosity,median grain size,and grain group content)from 48 sites in the East China Sea shelf.Through feature parameter reduction and hyperparameter optimization,the optimal XGBoost model achieves training and validation R2 values of 0.989 and 0.977,respectively,having hyperparameters set at n_estimators=49 and max_depth=6.Compared to other machine learning models and empirical equations,the XGBoost model based on density,water content,sand content,and median grain size exhibited the lowest mean absolute error(MAE)and mean absolute percentage error(MAPE)at 5.603 m/s and 0.366%,respectively.This represents significant improvements over existing models,with MAE reductions ranging 2.165–118.903 m/s and MAPE reductions 0.137%–7.657%.This study thus provides an innovative and highly accurate method for predicting the in situ sound speed of seafloor sediments. 展开更多
关键词 seafloor sediment sound speed in situ machine learning East China Sea prediction model
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Sustainable Live Sound Monitoring and Classification System Enabled by a Triboelectric Nanogenerator and Machine Learning Techniques 认领 引用
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作者 Majid Haji Bagheri Araz Rajabi-Abhari +6 位作者 Owen Gibbs Pengcheng Xi Asif Abdullah Khan Fangzheng Huang Md Soyaeb Hassan Ning Yan Dayan Ban 《Energy & Environmental Materials》 SCIE EI CAS CSCD 2026年第3期23-36,共14页
The growing demand for sustainable,real-time audio processing drives innovations in sound classification and energy harvesting.Traditional sound monitoring systems often struggle with scalability,energy efficiency,and... The growing demand for sustainable,real-time audio processing drives innovations in sound classification and energy harvesting.Traditional sound monitoring systems often struggle with scalability,energy efficiency,and adaptability,particularly in remote or resource-limited environments.The expansion of IoT applications intensifies power demands in widely distributed wireless sensor networks,highlighting the need for sustainable solutions.Moreover,the volume of data generated by these sensors frequently exceeds the capacity for efficient human analysis,necessitating the integration of machine learning and deep learning techniques.These methods must be optimized for fine-tuning with minimal data from new sensors,enabling efficient and accurate sound classification without extensive retraining.This paper presents a Triboelectric Nanogenerator(TENG)-based microphone that addresses energy consumption and data processing challenges by integrating advanced materials with sound classification systems.The proposed device uses polyimine/graphite polypropylene(PI/GP)coated paper to capture sound and harvest energy from ambient noise.It delivers an output power of 25.67μW at 94 dB,powering a wireless transmission circuit while achieving high acoustic sensitivity and a frequency response of up to 20 kHz.Performance evaluations show 92.7%classification accuracy in simulated live environments and a processing time of 0.342 s for 5-s audio clips using the MobileNetV1 model.Pre-trained models fine-tuned with minimal data from the TENG microphone enable efficient sound classification without extensive retraining.This innovation offers a sustainable alternative to conventional microphones,supporting self-powered,real-time monitoring systems with wireless data transmission and energy storage capabilities. 展开更多
关键词 deep learning energy-harvesting live sound monitoring self-powered microphone triboelectric nanogenerator
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Lightweight integrated sound absorbing-insulating metamaterials with low thickness 认领 引用
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作者 Weidi XIA Hongxing LI +3 位作者 Guotao ZHA Fulin GUO Chongrui LIU Fuyin MA 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI CSCD 2026年第2期215-234,共20页
This paper proposes two types of integrated sound absorbing-insulating metamaterials with low thickness and efficient sound attenuation in the low-frequency bandwidth,i.e.,labyrinth-type metamaterial and multi-order r... This paper proposes two types of integrated sound absorbing-insulating metamaterials with low thickness and efficient sound attenuation in the low-frequency bandwidth,i.e.,labyrinth-type metamaterial and multi-order resonator metamaterial.The labyrinth-type metamaterial is designed through spatial dimension transfer,transferring the required dimension in the thickness direction to the planar thin layer.Based on the Helmholtz resonance,the metamaterial achieves noise reduction through the reflection of sound waves and the thermoviscous dissipation of holes and cavities.This mechanism enables its sound insulation performance to produce the same gain effect as absorption,thereby accomplishing the broadband absorbing-insulating integrated design.With a thickness of only 33 mm,it achieves both sound absorption and insulation effects over more than one octave.The multi-order resonator metamaterial has a larger working bandwidth than the labyrinth-type metamaterial.It is designed based on the multiorder resonance absorption mechanism,and consists of 9 different orders of resonator units.The metamaterial obtains a continuous sound absorption coefficient curve in the low-frequency range of 362–1712 Hz,and possesses high transmission loss(TL)above 346 Hz.In addition,this paper deeply explores the sound absorbing-insulating mechanism through the correlation analysis between the sound absorption coefficient and TL curves.The experimental results verify the continuous and efficient absorption effects of the two metamaterials,as well as their insulation performance that breaks the mass law.In low-frequency engineering applications,the two designed metamaterials demonstrate great potential and value at sub-wavelength dimensions. 展开更多
关键词 acoustic metamaterial low-frequency bandwidth noise reduction integrated sound absorbing-insulating Helmholtz resonance thermoviscous dissipation spatial folding
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Customized acousto-mechanical metastructure for broadband low-frequency sound absorption and vibration isolation via optimization design 认领 引用
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作者 Zonghan Li Changzhi Hu +1 位作者 Zhiwen Ren Mingji Chen 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第5期596-611,共16页
The demand for noise and vibration control in aerospace and vehicle manufacturing is increasing,but reliable design strategies are still lacking.Here,an integrated acousto-mechanical metastructure is proposed to reali... The demand for noise and vibration control in aerospace and vehicle manufacturing is increasing,but reliable design strategies are still lacking.Here,an integrated acousto-mechanical metastructure is proposed to realize broadband lowfrequency sound absorption and vibration isolation simultaneously.Due to the introduction of bistable substructures,the proposed metastructure achieves quasi-zero stiffness vibration isolation and sound energy dissipation without external loads.Rapid customized design of the optimized metastructure is achieved by the proposed optimization algorithm.An average sound absorption coefficient of 0.8 is realized by optimization design within the frequency range of 350 Hz to 800 Hz.In addition,the proposed acousto-mechanical metastructure exhibits ultra-low broadband vibration isolation performance,with an initial isolation frequency of 40.4 Hz.Theoretical calculations,numerical simulations,and experimental results show that the acoustic performance of the metastructure benefits from the intensive mode density brought by multiple geometric degrees of freedom,while its vibration isolation performance originates from the quasi-zero stiffness beams.Overall,a multi-objective optimization method under a given structural design domain is proposed to optimize the multifunctional metastructure. 展开更多
关键词 Acousto-mechanical metastructure Non-local resonator Sound absorption Vibration isolation Broadband low-frequency
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Automated bird sound recognition in ecology:A methodological review and application framework 认领 引用
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作者 Xiangyu Shen Jiaping Xu +7 位作者 Qin Zhang Peng Luo Zhicong Liu Jiajun Chen Guoxiong Zhou Jizheng Yi Zhishu Xiao Aibin Chen 《Avian Research》 SCIE CAS CSCD 2026年第3期690-704,共15页
Automated bird sound recognition(ABSR)has emerged as a transformative tool for avian ecology and conservation,offering an unprecedented ability to monitor biodiversity non-invasively across vast spatial and temporal s... Automated bird sound recognition(ABSR)has emerged as a transformative tool for avian ecology and conservation,offering an unprecedented ability to monitor biodiversity non-invasively across vast spatial and temporal scales.This review synthesizes the rapid evolution of ABSR,from its foundations in signal processing and classical machine learning to its current dominance by deep learning and self-supervised foundation models.We provide a holistic analysis of the complete bioacoustic pipeline,encompassing data collection through passive acoustic monitoring(PAM),the challenges and biases inherent in public datasets,and the core computational stages of preprocessing,feature learning,and model classification.A key focus is the critical translation of technical advances into ecological insight.We evaluate how modern architectures—including convolutional neural networks(CNNs),recurrent neural networks(RNNs),and transformer-based models—coupled with emerging paradigms like few-shot learning and domain adaptation,are being tailored to address specific ecological questions.These range from tracking population trends and phenology to identifying rare species and decoding fine-grained behaviors.Furthermore,we present a novel,objective-driven framework that directly links core research goals in avian ecology—such as large-scale community audits,individual vocal recognition,and soundscape health assessment—with optimized methodological recommendations.By highlighting the integration of artificial intelligence with ecological theory,this review charts a course for the next generation of ABSR:moving beyond automated detection toward the development of interpretable,robust,and causally informative systems.These intelligent tools are poised to fundamentally enhance our understanding of avian population dynamics,behavioral ecology,and community responses to environmental change,thereby providing vital evidence for effective conservation strategy and biodiversity management. 展开更多
关键词 Automated bird sound recognition Bioacoustics Bird species identification Deep learning Passive acoustic monitoring
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AI-Driven Acoustic Metamaterials for Pixel-Accurate Sound Insulation Control 认领 引用
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作者 Kaijing Liu Yihuan Zhu +3 位作者 Jiachen Meng Ruizhi Dong Xu Wang Yong Li 《Chinese Physics Letters》 SCIE EI CAS CSCD 2026年第2期349-355,共7页
Acoustic metamaterials have emerged as a promising platform for efficient and flexible low-frequency sound insulation,overcoming the limitations imposed by the mass law governing conventional materials.While metamater... Acoustic metamaterials have emerged as a promising platform for efficient and flexible low-frequency sound insulation,overcoming the limitations imposed by the mass law governing conventional materials.While metamaterials achieve low-frequency sound insulation via local anti-resonances from membranes or plates of their meta-units,their broadband performance is inherently constrained by the narrow-band nature of resonances.Although tailoring the distribution of attached masses offers a pathway to modulate these modes'spectral features,the complexity of such configurations renders analytical solutions intractable.Here,we propose a deep learning framework that bridges this gap by encoding intricate mass distributions as pixelated images(mass-loaded and mass-free regions)and establishing a direct mapping between these images and the resulting transmission loss(TL)spectra.This approach facilitates inverse design of broadband sound-insulating metamaterials for a target TL spectrum and enables rapid performance prediction for arbitrary mass configurations.By synergizing artificial intelligence with the complicated mode engineering of acoustic metamaterials,our work establishes a data-driven paradigm for advanced wave manipulation,opening avenues for next-generation noise control technologies. 展开更多
关键词 pixel accurate control modulate thes transmission loss tailoring distribution attached masses inverse design broadband performance acoustic metamaterials broadband sound insulation
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Clinical study predicting prolonged postoperative ileus after laparoscopic colorectal cancer surgery with intelligent bowel sound auscultation system 认领 引用
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作者 Shuai Shi Chong Wang +6 位作者 Chen-Si Zhao Zun Chen Liang Yan Yong Liang Xin Yue Xiang-Long Duan Zuo-Zheng Wang 《World Journal of Gastrointestinal Oncology》 SCIE 2026年第7期231-245,共15页
BACKGROUND The study of prolonged postoperative ileus(PPOI)after laparoscopic colorectal cancer(CRC)surgery is a clinically significant concern,but there is little research on predicting gastrointestinal function of C... BACKGROUND The study of prolonged postoperative ileus(PPOI)after laparoscopic colorectal cancer(CRC)surgery is a clinically significant concern,but there is little research on predicting gastrointestinal function of CRC patients through the characteristics of bowel sounds.AIM To analyze differences in bowel sound characteristics in patients with PPOI after surgery,and aims to establish a predictive model to provide clinicians with a new method for evaluating postoperative gastrointestinal function.METHODS A retrospective analysis was conducted on 133 patients diagnosed with CRC who underwent surgical treatment in the Department of General Surgery II of Shaanxi Provincial People’s Hospital from January 2022 to January 2024.This study analyzes the characteristics of bowel sounds in PPOI patient pre-operation 1 day,on operation day,and post-operation 3 days,clarifying their differences and trends.The Mann-Whitney U test,Kolmogorov-Smirnov test,and receiver operating characteristic(ROC)curve analysis were used to examine the relationship between clinical indicators and bowel sound characteristics with postoperative PPOI.Univariate and multifactorial analyses were performed to clarify the differences between the PPOI and no-PPOI groups.Subsequently,significant variables were selected and incorporated into the model for further modeling.RESULTS The analysis found that patients with PPOI had significant differences in number of bowel sounds(NBS)and recovery time of bowel sounds(RTBS)on the post-operation 1 day.The characteristics of bowel sounds predicted the occurrence of postoperative PPOI with certain predictive value according to the ROC curve.The NBS cutoff value was 1.201 counts per minute,with a sensitivity of 56.67%and specificity of 80.58%.The RTBS cutoff value was 16.9 hours,with a sensitivity of 90.00%and specificity of 43.75%.Univariate analysis revealed significant differences in operation time,preoperative hypoproteinemia,RTBS,and NBS between the PPOI group and the no-PPOI group.The LASSO regression and the Boruta algorithm were used in conjunction with univariate and multivariate logistic regression to screen for relevant variables,ultimately including four variables in the model:Operation time,preoperative hypoproteinemia,RTBS,and NBS.Decision curve analysis indicated that the risk nomogram for PPOI after CRC surgery provides a good clinical net benefit.CONCLUSION The characteristics of bowel sounds have certain predictive value for PPOI after laparoscopic CRC surgery.The intelligent auscultation system collects bowel sounds,which helps establish a predictive model for the occurrence of PPOI.It provides objective reference indicators for its early detection and warrants further investigation. 展开更多
关键词 Colorectal cancer Bowel sounds Prolonged postoperative ileus Predict model
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Integrating machine learning and physical models for reconstructing sound speed profiles in mesoscale eddies 认领 引用
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作者 Hongchen LI Ming LI +3 位作者 Penghao WANG Kefeng MAO Yuhang ZHU Yuhang LIU 《Journal of Oceanology and Limnology》 SCIE CAS CSCD 2026年第4期1323-1341,共19页
Mesoscale eddies significantly affect sound propagation,yet their complex internal sound speed profiles suffer from substantial reconstruction errors,and only few studies specifically addressed this reconstruction.To ... Mesoscale eddies significantly affect sound propagation,yet their complex internal sound speed profiles suffer from substantial reconstruction errors,and only few studies specifically addressed this reconstruction.To bridge this gap,we used multi-source satellite data and Argo profiles to identify eddies and build a temperature-salinity-sound speed dataset.Sea surface parameters(temperature,height anomalies,salinity,density)and Argo density serve as inputs for a random forest(RF)algorithm to learn the surface-to-underwater sound speed mapping.Concurrently,a unified eddy dynamic model reconstructs the internal density field.By combining these environmental parameters with the reconstructed density generates eddy sound speed profiles,an integrated PIRF-DEN model that merges machine learning and physical modeling was established.Evaluations demonstrate the superiority of the model.By incorporating density input,the reconstruction accuracy was significantly improved,the mean absolute error(MAE)and root mean square error(RMSE)were reduced to 0.83 and 1.39 m/s,respectively,which is 87.3%and 83.7%less than that of the sEOF-r method.Integration of the eddy model effectively characterized the vertical density structure,whose constraint lowered the overfitting risk and enhanced the accuracy and stability over sEOF-r,sEOF-RF,and RF models.Propagation loss calculations using the reconstructed sound speed showed high correlation(coefficient:0.77)with measured data,further confirming its reliability. 展开更多
关键词 sound speed reconstruction random forest(RF) unified mesoscale eddy structural model vertical density
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Mechanisms of Generative AI-Driven Sound Art Creation within the Framework of Quantum Cognition and Paradigm Reconstruction in Higher Education 认领 引用
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作者 Jiasheng Jin 《Journal of Contemporary Educational Research》 2026年第7期73-85,共13页
As AIGC technologies become deeply integrated into higher education teaching and learning, a critical challenge has quickly emerged: many pedagogical approaches remain constrained by traditional linear thinking, parti... As AIGC technologies become deeply integrated into higher education teaching and learning, a critical challenge has quickly emerged: many pedagogical approaches remain constrained by traditional linear thinking, particularly evident in the persistence of unidimensional instructional models. To address this impasse, this study introduces quantum cognition theory to construct a human-AI collaborative creative model. The model operates through three phases: latent state generation, observational collapse, and iterative evolution. An empirical investigation was conducted with three cohorts of students from the AIGC Film and Television Production Innovation Program at Sichuan Film and Television College. The findings indicate that under the influence of quantum cognition, a nonlinear pedagogical paradigm significantly enhances students’ cross-path exploration capabilities. Moreover, human-AI co-created works demonstrated notable “emergence” in provincial- and national-level competitions. This research substantiates how this approach reshapes cognitive pathways and teaching evaluation systems in sound art, offering theoretical grounding and practical pathways for the paradigm reconstruction of arts education in the era of artificial intelligence. 展开更多
关键词 Quantum art Large language models Sound art Interdisciplinary education Cross-disciplinary studies
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Starke Sound Beta5家族新品发布,一步到位的高性价比之选 认领 引用
18
《视听前线》 2026年第4期81-82,共2页
继Beta7之后,Starke Sound Brio系列的Beta家族继续发力,又带来三款全新力作:Beta5书架音箱、Beta5C中置音箱和Beta5W挂墙音箱。新品以更紧凑的体型和更灵活的应用,延续了Beta家族的高品质声音表现。
关键词 Brio系列 Beta5 高品质声音 Starke Sound
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Semi-Active Sound Absorption Method with Acoustic Impedance Matching 认领 引用 被引量：1
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作者 ZHU Congyun ZHANG Shaoqi DING Guofang 《Journal of Donghua University(English Edition)》 CAS 2025年第1期64-70,共7页
The active sound absorption technique excels in mitigating low-frequency sound waves,yet it falls short when dealing with medium and high-frequency sound waves.To enhance the sound-absorbing effect of medium and high-... The active sound absorption technique excels in mitigating low-frequency sound waves,yet it falls short when dealing with medium and high-frequency sound waves.To enhance the sound-absorbing effect of medium and high-frequency sound waves,a novel semi-active sound absorption method has been introduced.This method modulates the surface impedance of a loudspeaker positioned behind the sound-absorbing material,thereby altering the sound absorption coefficient.The theoretical sound absorption coefficient is calculated using MATLAB and compared with the experimental one.Results show that the method can effectively modulates the absorption coefficient in response to varying incident sound wave frequencies,ensuring that it remains at its peak value. 展开更多
关键词 acoustic impedance semi-active sound absorption rigid wall cavity depth sound absorption coefficient
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Effect of height of noise barriers on sound source characteristics of aerodynamic noise from high-speed trains 认领 引用
20
作者 LU Wei-shuang HUANG Jun-hui +5 位作者 SUN Zhen-xu PRASERT Prapamonthon GUO Di-long YANG Guo-wei SONG Zhe-nan HU Wen-lin 《Journal of Central South University》 SCIE EI CAS CSCD 2025年第12期4777-4795,共19页
This paper aims to explore the influence of different noise barrier heights on the sound source generation mechanisms of higher-speed trains(400 km/h)using a combination of delayed detached eddy simulation(DDES)and Ff... This paper aims to explore the influence of different noise barrier heights on the sound source generation mechanisms of higher-speed trains(400 km/h)using a combination of delayed detached eddy simulation(DDES)and Ffowcs Williams-Hawkings(FW-H)equations.Four cases are investigated and compared,i.e.1)no barrier,2)2.3 m,3)3.3 m,and 4)4.3 m single-side barriers on a bridge.Numerical results show that the presence of noise barriers causes an increase in sound source intensity ranging from 2.1 to 2.8 dB(A).However,the relationship between the barrier height and the increase in sound source intensity varies across different parts of the train.Compared with the head and front middle cars,the boundary layer is thicker around the rear-middle and tail car areas.A thick boundary layer introduces the influence of the crash wall,causing asymmetry and increases in sound source intensity.This is due to the deceleration region formed between the crash wall and the rail surface,as well as the acceleration region formed by the contraction of the flow channel in the noise barrier,both of which influence the sound source's characteristics.In addition,higher barriers exacerbate asymmetry and increases in sound source intensity. 展开更多
关键词 high-speed trains noise barriers sound source sound field flow field
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