Sounds Stimulation on In Vitro HL1 Cells: A Pilot Study and a Theoretical Physical Model

Mechanical vibrations seem to affect the behaviour of different cell types and the functions of different organs. Pressure waves, including acoustic waves (sounds), could affect cytoskeletal molecules via coherent changes in their spatial organization and mechano-transduction signalling. We analyzed the sounds spectra and their fractal features. Cardiac muscle HL1 cells were exposed to different sounds, were stained for cytoskeletal markers (phalloidin, beta-actin, alpha-tubulin, alpha-actinin-1), and studied with multifractal analysis (using FracLac for ImageJ). A single cell was live-imaged and its dynamic contractility changes in response to each different sound were analysed (using Musclemotion for ImageJ). Different sound stimuli seem to influence the contractility and the spatial organization of HL1 cells, resulting in a different localization and fluorescence emission of cytoskeletal proteins. Since the cellular behaviour seems to correlate with the fractal structure of the sound used, we speculate that it can influence the cells by virtue of the different sound waves’ geometric properties that we have photographed and filmed. A theoretical physical model is proposed to explain our results, based on the coherent molecular dynamics. We stress the role of the systemic view in the understanding of the biological activity.     

基于GA-BP的汽车风振噪声声品质预测模型

目前对于汽车风振噪声的优化研究主要以声压级（Sound pressure level，SPL）作为单一评价指标，既不能全面反映噪声的物理属性，也无法考虑人耳对噪声的主观认知过程。为准确评价风振噪声，引入声品质，运用大涡模拟（Large eddy simulation，LES）对风振噪声进行数值仿真，根据实车道路试验判断仿真的准确性；对仿真结果进行声品质客观评价与主观评价，综合声品质客观评价参数与声品质主观评价试验结果建立BP神经网络预测模型；利用遗传算法（Genetic algorithm，GA），进一步对BP神经网络的结构参数进行优化，建立GA-BP声品质预测模型。研究结果表明，GA-BP声品质预测模型在训练速度和预测精度上都优于BP神经网络预测模型。预测模型基于声品质主客观评价结果，其预测值可以代替传统的声压级评价指标，为风振噪声提供更为准确合理的评价。     

基于多通道的ICU脑血管疾病死亡风险预测模型

死亡风险预测指根据病人临床体征监测数据来预测未来一段时间的死亡风险。对于ICU病患，通过死亡风险预测可以有针对性地对病人做出临床诊断，以及合理安排有限的医疗资源。基于临床使用的MEWS和Glasgow昏迷评分量表，针对ICU病人临床监测的17项生理参数，提出一种基于多通道的ICU脑血管疾病死亡风险预测模型。引入多通道概念应用于BiLSTM模型，用于突出每个生理参数对死亡风险预测的作用。采用Attention机制用于提高模型预测精度。实验数据来自MIMIC [Ⅲ]数据库，从中提取3?080位脑血管疾病患者的16?260条记录用于此次研究，除了六组超参数实验之外，将所提模型与LSTM、Multichannel-BiLSTM、逻辑回归（logistic regression）和支持向量机（support vector machine, SVM）四种模型进行了对比分析，准确率Accuracy、灵敏度Sensitive、特异性Specificity、AUC-ROC和AUC-PRC作为评价指标，实验结果表明，所提模型性能优于其他模型，AUC值达到94.3%。     

Enhanced airborne sound absorption effect in poly(vinylidene fluoride)/(K0.5Na0.5)NbO3-nanofiber composite foams

Introducing electrical conductive function to discharge local piezoelectric effect is found effective for improving airborne sound absorption performance. In this work, instead of conductive fillers, a composite with two piezoelectric materials with opposite piezoelectric responses was explored aiming at enhanced sound absorption effect. Open-cell poly(vinylidene fluoride)/(K_0.5Na_0.5)NbO₃ (PVDF/KNN)-nanofiber composite foams were proposed and investigated for airborne sound absorption purpose. Structural and thermal analyses showed that the KNN nanofibers were well dispersed in the PVDF matrix and enhanced the degree of crystallinity of polar phase of PVDF. Significantly enhanced airborne sound absorption over a broad frequency range was observed in the PVDF/KNN-nanofiber composite foams, with increasing KNN nanofibers. One possible mechanism for the improved sound absorption with the piezoelectric KNN nanofibers with positive piezoelectric coefficient added in the PVDF matrix with negative piezoelectric coefficient is that electrical discharge could be facilitated for energy dissipation with the opposite charges generated through the piezoelectric effects in the two phases with opposite polarity. The experimental results show that the open-cell PVDF/KNN-nanofiber composite foams are promising for broadband airborne sound absorption application, and our analysis shed a light on the strategy in designing piezoelectric composite foam with high sound absorption performance.     

硅溶胶/植物纤维吸声材料的制备及其性能研究

本研究提出一种以硅溶胶和杉木纤维为原料、采用泡沫成形法快速制备硅溶胶/植物纤维吸声材料的方法。结果表明,采用泡沫成形可以实现高蓬松度植物纤维基吸声材料的制备。另外,硅溶胶能够显著改善硅溶胶/植物纤维吸声材料的热稳定性和强度,与未添加硅溶胶的样品相比,当硅溶胶添加量为8%时,硅溶胶/植物纤维吸声材料的密度仅为20.21 kg/m3,而弹性模量和屈服强度分别从15.4 kPa和1.6 kPa提高到了86.2 kPa和4.4 kPa;硅溶胶/植物纤维吸声材料对5000 Hz以上声波的吸声系数达到了0.65。     

月桂酸乙酯的液相音速测量

脂肪酸甲酯(FAMEs)、脂肪酸乙酯(FAEEs)是生物柴油中的重要成分,为了计算发动机燃油喷射角度,需要获取生物柴油组分的音速。利用动态光散射法,在0.1、2.0、4.0、6.0、8.0 MPa下测量了月桂酸乙酯的液相音速,温度为295.15～353.15 K。为满足工程应用需求,根据实验数据,给出了月桂酸乙酯音速与温度和压力的关联式。在实验温、压范围内,实验值与关联式计算值的相对偏差绝对平均值为0.32%。     

双弹性板矩形空腔内噪声的有源力控制

研究了在弹性板上施加不同参数的有源力对腔内噪声进行控制的问题。构建双弹性板构成的封闭矩形声腔模型，对封闭声腔的结构 声耦合特性进行分析，推导了在封闭声腔有源力控制作用下声压计算公式，给出采用有源力控制的最优控制模型。分析了弹性板在不同参数的次级力源激励下腔内局部声场的声压级响应，并建立了仿真模型对局部声场的减噪效果进行分析。结果表明，合理选择次级力源的参数对控制效果的影响较为明显，且次级力源的个数并非越多越好。     

动车组司机室空调蒸发器气动噪声数值仿真

为研究动车组司机室空调蒸发器的噪声响应，建立某型司机室分体式空调蒸发器的计算流体动力学模型，采用FLUENT中的大涡模拟（large eddy simulation, LES）计算瞬态气动流场。对瞬态流场数据进行傅里叶变换，得到空气流场的频域数据。基于流场频域数据，采用Virtual.Lab的边界元法计算蒸发器的气动噪声，采用声压法计算蒸发器的辐射声功率，并与测试结果进行对比分析。结果表明：蒸发器出口位置气动噪声最高，最大声压级高于56 dB；最大声功率级出现在125~400 Hz的低频段；声功率级随着频率的增加逐渐降低，但在5 000 Hz的高频辐射中声功率级仍然超过55 dB，这表明空调蒸发器气动噪声属于宽频噪声；计算结果与测试结果吻合良好，验证声压法计算空调蒸发器气动声功率可行。     

碳酸二甲酯液相音速测量与理论估算

生物燃料作为化石燃料的替代物越来越受到人们的重视，脂肪酸甲酯(FAEEs)是生物燃料中的重要组成成分。本文利用布里渊散射法，分别沿0.1、1、3、5、7和10 MPa六条等压线，在293.15 ~ 373.15 K的温度范围内，测量了碳酸二甲酯的液相音速。为方便工程应用，根据实验数据给出了碳酸二甲酯音速与温度和压力的关联式。在本文的p – T热力学区域内，实验值与关联计算值之间的平均绝对误差为0.20%。最后，结合碳酸二甲酯音速实验值和密度文献值，给出了碳酸根 (-CO3)、甲氧基(CH3O-)基团的Wada常数基团贡献值，分别为0.72769±103和0.66851±103。     

纤维材料降噪结构体的研究进展

为有效提高纤维材料降噪结构体的降噪性能,简述了近年来国内外纤维材料降噪结构体研究进展,依据纤维集合体的降噪机制,将纤维材料降噪结构体划分为多孔吸声复合降噪、多孔与共振复合降噪、多孔与阻尼复合降噪等类型。阐述了各种种纤维材料降噪结构体所用的纤维种类,介绍了各种类型纤维材料降噪结构体的构建方法,考察了各种类型纤维材料降噪结构体的结构组成,探讨了各种类型纤维材料降噪结构体的降噪效果,分析了不同类型纤维材料降噪结合体的作用机制,并对纤维材料在未来降噪领域的发展前景进行了展望,指出轻薄化、绿色化与多功能化是降噪功能纤维集合体的发展方向,为将来纤维材料在降噪领域的应用与发展提供了参考。