摘要：【中文】本发明公开了一种药物组合在制备治疗细菌感染性疾病合并乙型肝炎的药物中的应用，所述药物组合包含哌拉西林或其盐以及舒巴坦或其盐。哌拉西林和舒巴坦的比例可以为2:1或4:1。本发明提供的药物组合在治疗细菌感染特别是耐药细菌感染的同时，可明显增强乙肝患者的肝功能，减轻肝损伤，对抗乙肝病毒感染，并增强抗乙肝病毒药物的疗效。 【EN】The invention discloses application of a pharmaceutical composition in preparing a medicament for treating bacterial infectious diseases combined with hepatitis B, wherein the pharmaceutical composition comprises piperacillin or salt thereof and sulbactam or salt thereof. The ratio of piperacillin and sulbactam may be 2:1 or 4: 1. The medicine composition provided by the invention can obviously enhance the liver function of hepatitis B patients, relieve liver injury, resist hepatitis B virus infection and enhance the curative effect of anti-hepatitis B virus medicines while treating bacterial infection, particularly drug-resistant bacterial infection.

摘要：【中文】本发明公开了一种基于神经网络的智能歌词修改方法及辅助系统，该系统应用该方法，方法包括歌词预测模型训练，采用处理好的歌词训练数据输入基本训练模型进行训练，得到歌词预测模型；获取待修改歌词及歌词修改限定信息；应用字符映射表将待修改歌词转换为预测模型的输入数据，待修改歌词中的欲替换词采用能区分的标识字符标识；将输入数据输入歌词预测模型进行预测，获取第一个标识字符对应的替换字的概率分布向量；根据歌词修改限定信息限定的歌词修改模式执行修改操作；输出替换候选歌词。能够将完整的或者半成品的歌词中指定的需要替换的词进行优选替换，对指定的韵脚和需要押韵的句子生成一系列候选押韵词，对整段歌词指定段进行仿写。 【EN】The invention discloses an intelligent lyric modification method based on a neural network and an auxiliary system, wherein the system applies the method, the method comprises the training of a lyric prediction model, processed lyric training data are input into a basic training model for training, and a lyric prediction model is obtained; acquiring lyrics to be modified and lyric modification limit information; converting lyrics to be modified into input data of a prediction model by using a character mapping table, wherein words to be replaced in the lyrics to be modified are marked by distinguishable identification characters; inputting input data into a lyric prediction model for prediction to obtain a probability distribution vector of a replacement word corresponding to a first identification character; performing a modification operation according to a lyric modification mode defined by the lyric modification defining information; and outputting the alternative lyrics. The words which are specified in the complete or semi-finished lyrics and need to be replaced can be preferentially replaced, a series of candidate rhyme words are generated for the specified rhyme feet and the sentences which need to be rhyme, and the specified section of the whole lyrics is imitated and written.

摘要：【中文】一种基于FRFT和LLE特征提取的模拟电路故障诊断方法，属于故障诊断技术领域，解决了模拟电路故障诊断的困难性较大，故障诊断的准确率低的问题，本发明利用PSPICE软件对需要故障诊断的模拟电路进行仿真，将待检测的模拟电路的输出端作为测试点，获得电路脉冲响应信号，通过Monte‑Carlo分析，针对每种电路故障获取多组样本信号；对每种电路故障类别的多组样本信号分别进行p阶FRFT，获取每种类别故障的样本信号的频域特征；利用LLE对每种类别故障的样本信号的频域特征进行降维，构建特征向量样本集，采用粒子群优化算法寻找支持向量机的最优参数，建立支持向量机故障诊断分类器；利用支持向量机故障诊断分类器对测试集数据进行分类诊断。本发明适用于对模拟电路进行故障诊断。 【EN】A analog circuit fault diagnosis method based on FRFT and LLE characteristic extraction belongs to the technical field of fault diagnosis, and solves the problems of high difficulty of analog circuit fault diagnosis and low accuracy of fault diagnosis; performing p-order FRFT on a plurality of groups of sample signals of each circuit fault category respectively to obtain the frequency domain characteristics of the sample signals of each category fault; carrying out dimension reduction on the frequency domain characteristics of the sample signals of each type of fault by utilizing LLE, constructing a characteristic vector sample set, searching optimal parameters of a support vector machine by adopting a particle swarm optimization algorithm, and establishing a fault diagnosis classifier of the support vector machine; and carrying out classification diagnosis on the test set data by using a fault diagnosis classifier of a support vector machine. The invention is suitable for fault diagnosis of the analog circuit.

摘要：【中文】一种基于WOA和GMKL‑SVM的模拟电路故障诊断方法，属于故障诊断技术领域。解决了现有模拟电路故障诊断存在准确率低的问题。本发明利用PSPICE软件对需要故障诊断的模拟电路进行仿真，将电路输出端作为测试点获得电路脉冲响应信号，通过Monte‑Carlo分析，针对每种电路故障获取多组样本信号；对每种电路故障的多组样本信号分别进行小波包分解，计算小波包系数的能量作为特征量，构建小波包特征向量样本集，并将样本集随机分为训练集和测试集；基于训练集数据，采用WOA算法寻找GMKL‑SVM的最优惩罚参数、权衡参数和组合核函数参数，建立GMKL‑SVM故障诊断分类器；利用GMKL‑SVM故障诊断分类器对测试集数据进行诊断分类，获得模拟电路故障的诊断结果。本发明适用于模拟电路故障诊断使用。 【EN】An analog circuit fault diagnosis method based on WOA and GMKL-SVM belongs to the technical field of fault diagnosis. The problem of current analog circuit fault diagnosis have the rate of accuracy low is solved. The method utilizes PSPICE software to simulate an analog circuit needing fault diagnosis, takes a circuit output end as a test point to obtain a circuit pulse response signal, and obtains a plurality of groups of sample signals aiming at each circuit fault through Monte-Carlo analysis; respectively carrying out wavelet packet decomposition on a plurality of groups of sample signals of each circuit fault, calculating the energy of wavelet packet coefficients as characteristic quantities, constructing a wavelet packet characteristic vector sample set, and randomly dividing the sample set into a training set and a testing set; based on the training set data, searching an optimal punishment parameter, a balance parameter and a combined kernel function parameter of the GMKL-SVM by adopting a WOA algorithm, and establishing a GMKL-SVM fault diagnosis classifier; and diagnosing and classifying the test set data by using the GMKL-SVM fault diagnosis classifier to obtain a diagnosis result of the analog circuit fault. The invention is suitable for analog circuit fault diagnosis.

摘要：【中文】本发明公开了基于神经网络的交互式歌词生成方法及系统，系统基于该方法，方法包括歌词生成模型预训练，采用预处理好的歌词训练数据输入基本训练模型进行训练，得到歌词生成模型；获取用户设定的歌词标签和提供的首句歌词；歌词数据编码；首句歌词补全，将用户提供的歌词的数据编码输入歌词生成模型进行歌词句子自动补全；将补全后的歌词句子输入歌词生成模型生成歌词下一句的候选语句；选择一个候选语句作为第二句歌词并入首句歌词，作为下一句歌词的预测输入；将合并后的歌词句子输入歌词生成模型生成歌词下一句的候选语句；重复上述步骤，直到完成一段或者整首歌词。歌词生成过程中会生成多个候选语句供用户选择，提高歌词生成过程中的交互性。 【EN】The invention discloses an interactive lyric generating method and system based on a neural network, wherein the system is based on the method and comprises the steps of pre-training a lyric generating model, inputting pre-processed lyric training data into a basic training model for training to obtain a lyric generating model; acquiring a lyric label set by a user and provided first sentence lyrics; encoding lyric data; completing the lyrics of the first sentence, and inputting the data codes of the lyrics provided by the user into a lyric generation model to automatically complete the lyric sentences; inputting the complemented lyric sentence into a lyric generation model to generate a candidate sentence of the next sentence of the lyric; selecting a candidate sentence as the second sentence of lyrics to be merged into the first sentence of lyrics to be used as the prediction input of the next sentence of lyrics; inputting the combined lyric sentences into a lyric generation model to generate candidate sentences of the next sentence of the lyrics; and repeating the steps until one piece of or the whole lyric is finished. In the lyric generating process, a plurality of candidate sentences can be generated for the user to select, and the interactivity in the lyric generating process is improved.

摘要：【中文】本发明公开了一种基于seq2seq网络的歌词对齐方法及系统，方法包括：对歌词进行处理得到歌词向量，对音频进行处理得到起止时间与歌词对应的人声频谱图；采用seq2seq网络模型对歌词向量和对应的频谱图进行处理，得到输入歌词的注意力矩阵；将注意力矩阵整合解析为字符级别的对齐结果，得到歌词每个字的开始时间和结束时间。系统包括数据处理模块对歌词进行处理得到歌词向量，对音频进行处理得到起止时间与歌词对应的人声频谱图；数据预测模块采用网络模型对歌词向量和对应的频谱图进行处理，得到输入歌词的注意力矩阵；对齐结果解析模块用于将注意力矩阵整合解析为字符级别的对齐结果，得到歌词每个字的开始时间和结束时间。 【EN】The invention discloses a lyric alignment method and a system based on a seq2seq network, wherein the method comprises the following steps: processing the lyrics to obtain lyric vectors, and processing the audio to obtain a human voice spectrogram corresponding to the starting and stopping time and the lyrics; processing the lyric vector and a corresponding spectrogram by adopting a seq2seq network model to obtain an attention matrix of the input lyrics; and integrating and analyzing the attention moment array into an alignment result at a character level to obtain the starting time and the ending time of each word of the lyric. The system comprises a data processing module, a voice frequency spectrum graph and a lyric vector, wherein the data processing module processes lyrics to obtain a lyric vector, and processes voice frequency to obtain a human voice spectrum graph corresponding to starting and stopping time and lyrics; the data prediction module processes the lyric vectors and the corresponding spectrogram by adopting a network model to obtain an attention matrix of the input lyrics; the alignment result analysis module is used for integrating and analyzing the attention moment array into the alignment result of the character level to obtain the starting time and the ending time of each word of the lyrics.

摘要：【中文】本发明公开了一种面向简谱图像的音高及对应歌词提取方法及系统，系统应用该方法，方法包括：将待识别的简谱图像转化为灰度图，并进行矫正；将处理后的简谱图像输入训练好的字符识别模型，识别得到简谱图像的字符及字符的位置信息的集合；根据字符的位置信息对字符进行排序分行，得到每行字符的字符集合；根据字符集合进行字符筛选，筛除无关信息，并将多个字符行的集合分为音高行和歌词行两个集合；将歌词行内的字符逐一与音高行内的字符进行距离计算；根据计算得到的距离以及单个字符的位置信息对音高字符和歌词字符进行匹配；从简谱图像中剪切出音高字符图像；分析剪切图像中浮点的存在性及位置占比，判断音高；更新歌词与对应音高的匹配结果。 【EN】The invention discloses a method and a system for extracting pitches and corresponding lyrics from numbered musical notation images, wherein the system applies the method, and the method comprises the following steps: converting the numbered musical notation image to be identified into a gray-scale image and correcting; inputting the processed numbered musical notation image into a trained character recognition model, and recognizing to obtain characters of the numbered musical notation image and a set of position information of the characters; sorting and dividing the characters according to the position information of the characters to obtain a character set of each row of characters; screening characters according to the character set, screening out irrelevant information, and dividing a set of a plurality of character lines into two sets of pitch lines and lyric lines; calculating the distance between the characters in the lyric line and the characters in the pitch line one by one; matching the pitch character and the lyric character according to the calculated distance and the position information of the single character; cutting a pitch character image from the numbered musical notation image; analyzing existence and position ratio of floating points in the cut image, and judging pitch; and updating the matching result of the lyrics and the corresponding pitches.

摘要：【中文】本发明公开了一种淀粉塑料组合物，其包括按重量份数计的如下组分：改性淀粉母粒：40~60份；6C线性低密度聚乙烯：15~30份；8C低密度高压聚乙烯：2~15份；茂金属聚乙烯：15~20份。本发明的优点在于：生物基含量大幅提升，制品应用端满足使用要求，并符合欧盟生物碳含量星级认证的市场准入标准，其中改性母粒达到欧盟生物碳含量二星级认证，相关制品达到欧盟生物碳含量一星级认证。 【EN】The invention discloses a starch plastic composition, which comprises the following components in parts by weight: modified starch masterbatch: 40-60 parts; 6C Linear Low Density polyethylene: 15-30 parts of a solvent; 8C low density high pressure polyethylene: 2-15 parts of a solvent; metallocene polyethylene: 15-20 parts. The invention has the advantages that: the bio-based content is greatly improved, the application end of the product meets the use requirement and meets the market admission standard of European Union biological carbon content star certification, wherein the modified master batch reaches European Union biological carbon content two-star certification, and related products reach European Union biological carbon content one-star certification.

摘要：【中文】一种三重穿插金属有机框架非均相CO₂环加成催化剂及其制备方法与应用，属于金属有机框架材料技术领域，针对目前CO₂环加成反应非均相催化剂低活性、低稳定性等缺陷，本发明提供了一种三重穿插金属有机框架非均相CO₂环加成催化剂，其分子式为[Zn(bbi)(tdc)]_n·5nH₂O，式中bbi代表1,4‑二咪唑丁烷,tdc代表2,5‑噻吩二羧酸盐；该化合物属于正交晶系，Pnma空间群，是三重穿插的三维框架。该催化剂与四丁基溴化铵(TBAB)组成复合催化剂用于非均相CO₂环加成催化，尤其是非均相CO₂和环氧氯丙烷环加成反应的催化；该催化剂与四丁基溴化铵的复合摩尔比为0.07:1。 【EN】Triple-interpenetration metal organic framework heterogeneous CO₂A cycloaddition catalyst, a preparation method and application thereof, belongs to the technical field of metal organic framework materials, and aims at the prior CO₂The invention provides a triple-interpenetration metal organic framework heterogeneous CO, and provides the defects of low activity, low stability and the like of a cycloaddition reaction heterogeneous catalyst₂Cycloaddition catalyst of the formula [ Zn (bbi) (tdc)]_n·5nH₂O, wherein bbi represents 1, 4-diimidazole butane, and tdc represents 2, 5-thiophene dicarboxylate; the compound belongs toIn the orthorhombic system, the Pnma space group, is a three-dimensional framework of triple interleaving. The catalyst and tetrabutylammonium bromide (TBAB) form a composite catalyst for heterogeneous CO₂Cycloaddition catalysis, especially heterogeneous CO₂Catalyzing cycloaddition reaction with epoxy chloropropane; the compound molar ratio of the catalyst to the tetrabutylammonium bromide is 0.07: 1.

摘要：【中文】本发明提供了一种固体氧化物燃料电池阴极及其制备方法、固体氧化物燃料电池及其制备方法和电动装置，涉及燃料电池技术领域。固体氧化物燃料电池阴极的制备方法，通过将电解质材料与阴极材料复合形成阴极复合层，使得该阴极复合层兼具电子导体与离子导体的特性，增大了阴极材料与电解质材料的接触面积，从而增大了反应面积，提升电池输出功率；同时，通过控制喷涂过程中电解质材料和阴极材料中熔点较高的一种物质处于半熔融状态，可使得所形成的阴极复合层。本发明还提供了一种固体氧化物燃料电池阴极，采用上述制备方法制得。本发明还提供了一种固体氧化物燃料电池，包括上述固体氧化物燃料电池阴极。 【EN】The invention provides a solid oxide fuel cell cathode and a preparation method thereof, a solid oxide fuel cell and a preparation method thereof and an electric device, and relates to the technical field of fuel cells. According to the preparation method of the solid oxide fuel cell cathode, the electrolyte material and the cathode material are compounded to form the cathode composite layer, so that the cathode composite layer has the characteristics of an electronic conductor and an ionic conductor, the contact area of the cathode material and the electrolyte material is increased, the reaction area is increased, and the output power of the cell is improved; meanwhile, the formed cathode composite layer can be formed by controlling the electrolyte material and the substance with higher melting point in the cathode material to be in a semi-molten state in the spraying process. The invention also provides a solid oxide fuel cell cathode prepared by the preparation method. The invention also provides a solid oxide fuel cell, which comprises the solid oxide fuel cell cathode.