HAMS/C系小鼠血清电解质正常值的测定

应用离子选择电极（ISE）型电解质分析仪，检测了HAMS／C系小鼠7项血清电解质（钠、钾、氯、钙、磷、二氧化碳总量和阴离子隙），并将所测值，在雌雄和亲代（KM和DBA／2）小鼠之间进行比较。结果表明，（1）除磷和阴离子隙雌雄间具有显著差异（P＜0.05或P＜0.01）外，其余各项指标性别间均无显著差异（P＞0.05）；（2）与KM小鼠相比，钠、钾和阴离子隙差异非常显著（P＜0.01）；（3）与DBA／2小鼠相比较，除氯外，钠、钾、钙、磷、二氧化碳总量和阴离子隙六项指标均具有显著性差异（P＜0.01）。实验证实，该品系小鼠血清电解质具有其独特的特性。

呼和浩特石化HAMS设备管理系统概述

介绍了一种以HART通讯协议为基础的设备管理系统,对该系统的软件和硬件的构成、数据的采集与通讯做了详细介绍,重点阐述了如何利用HAMS设备管理软件实现效率、安全平稳的控制生产。

HAMS+LEGS

如果你想要煎炸你的股二头肌来作为早餐,那么稍等,请你先品尝一下这个股后肌群与大腿的组合训练。

基于改进免疫遗传算法的铁路空箱调运优化

针对空箱调运问题,在传统免疫遗传算法(Immune Genetic Algorithm,IGA)基础上,通过对Hamming距离计算方式优化与调整,获得抗体亲和度与抗体浓度的精确度量,并据此设计了改进免疫遗传算法(Improved Immune Genetic Algorithm,IIGA)。为验证该算法的有效性和优势,以兰州铁路局下辖的各集装箱办理站实际运输数据为例,分别将所提出的IIGA与传统IGA、遗传算法(Genetic Algorithm,GA)设计对比实验。结果表明:在解决空箱调运问题时,相较于传统IGA与GA,IIGA能够在相对较短的时间内,以最少的迭代次数迅速收敛至最优解。

基于Hamming距离和量子搜索算法的联想分类器设计

针对现有联想分类器不能存储重复样本的问题,提出一种基于Hamming距离和量子搜索算法的量子联想分类器设计方法,并给出联想分类器存储和分类的线路图.该方法需提前准备5组量子比特,分别对Hamming距离、输入样本、模式样本、类别和序号进行编码.首先,根据样本总体N,计算联想分类器所需的量子位数,再利用量子旋转门和Hadamard门将初态为|0〉的量子位旋转为恰好包含N个基态的均衡叠加态;其次,根据待存储样本的类别和值,将剩余两组初始状态为|0〉的量子位通过可控操作转换为相应的量子基态;最后,基于量子最小搜索的分类方法,计算输入样本与所有存储样本之间的Ha mming距离,再使用固定相位Grover量子搜索算法搜索这些Hamming距离的最小值,最小值对应存储样本的类别即为输入样本的类别,具体的分类结果可通过测量寄存器中的量子态得到.

融合非负正弦位置编码和混合注意力机制的情感分析模型

针对情感分析任务中,序列模型存在难以获取文本的相对位置信息,且处理较长序列时容易丢失关键信息等问题,提出了一种融合非负正弦位置编码(non-negative sinusoidal position encoding,NSPE)和混合注意力机制(hybrid attention mechanism,HAM)的双向长短期记忆网络(bi-directional long short-term memory,Bi-LSTM)情感分析模型(NSPEHA-BiLSTM)。提出NSPE方法,建立词语的NSPE,为词向量融入相对位置信息;通过Bi-LSTM提取文本特征,并基于HAM分别对特征的全局和局部特征进行赋权,确保关键信息的准确传递;通过全连接层实现文本情感分析。在IMDB数据集中,NSPEA-BiLSTM相较于Bi-LSTM和Text-CNN准确率分别提升了4.67和2.02个百分点,且输入的文本长度越长,模型效果越好,同时验证了NSPE优于其他位置编码。

Dynamic changes in physicochemical property,biogenic amines content and microbial diversity during the fermentation of Sanchuan ham

Sanchuan ham is appreciated in Yunnan Province,China,for its characteristic flavor and taste,while the microbial community structure and biogenic amines content remain unclear during fermentation processes.In this study,we explored the physicochemical property,biogenic amines concentration and microbial diversity of external and internal Sanchuan ham by high-throughput sequencing during the processing of Sanchuan ham.Results showed that the nitrite remained at a stable level of 0.15 mg/kg which was significantly lower than the national health standard safety level of 20 mg/kg.In addition,compared with fresh hams,the content of total free amino acids in ripe Sanchuan ham has grown 14 folds;sour and bitter were the main tastes of Sanchuan ham.Notably,the concentration of cadaverine was the highest of all biogenic amines during the entire fermentation period.At the bacterial phyla level,Firmicutes and Actinobacteria were the two main phyla,while at the genus level,Staphylococcus was a significant strain throughout the whole fermentation.Moreover,the dry stage has a great impact on the succession change of microbial community structure.Simultaneously,the change trends and composition of bacteria in the interior have slight discrepancies with those of the exterior of Sanchuan ham.

基于K-Means聚类的粒子群优化CNN-BiGRU-HAM发动机剩余使用寿命预测方法

飞机在多种工况条件下运行时,发动机退化特征复杂性不断增加,导致发动机剩余寿命预测精度低。针对此问题,提出一种基于聚类分析的端到端剩余寿命(RUL)预测方法。采用K-Means聚类方法对发动机的多种工况和运行条件进行分组;再利用卷积神经网络(CNN)提取反映剩余寿命复杂动态变化的高维特征,将结果输入到双向门控循环单元(BiGRU)中学习特征之间的变化规律,设计并引入了新的混合注意力机制(HAM),充分考虑变量之间的关系,对重要特征信息赋予更大的权重,同时抑制冗余信息的影响;然后进行非线性变换,获得RUL预测结果;最后使用粒子群优化算法对神经网络的超参数进行调优。采用美国航天局NASA研究中心提供的涡轮发动机模拟数据集验证所提网络模型的有效性。结果表明:对于多工况运行条件,所提方法的均方根误差相比于CNN、LSTM、BiLSTM、CNN-LSTM分别降低了49.2%、37.1%、33.6%、24.8%,有效提升了模型的预测精度。

Spatial Coded Modulation:Coding over Antennas

In spatial modulation systems,the reliability of the active antenna detection is of vital importance since the modulated symbols tend to be correctly demodulated when the active antennas are accurately identified.In this paper,we propose a spatial coded modulation(SCM)scheme,which improves the accuracy of the active antenna detection by coding over the transmit antennas.Specifically,the antenna activation pattern in the SCM corresponds to a codeword in a properly designed codebook with a larger minimum Hamming distance than the conventional spatial modulation.As the minimum Hamming distance increases,the reliability of the active antenna detection is directly enhanced,which yields a better system reliability.In addition to the reliability,the proposed SCM scheme also achieves a higher capacity with the identical antenna configuration compared to the conventional counterpart.The optimal maximum likelihood detector is first formulated.Then,a low-complexity suboptimal detector is proposed to reduce the computational complexity.Theoretical derivations of the channel capacity and the bit error rate are presented in various channel scenarios.Further derivation on performance bounding is also provided to reveal the insight of the benefit of increasing the minimum Hamming distance.Numerical results validate the analysis and demonstrate that the proposed SCM outperforms the conventional spatial modulation techniques in both channel capacity and system reliability.

Novelty of Different Distance Approach for Multi-Criteria Decision-Making Challenges Using q-Rung Vague Sets

In this article,multiple attribute decision-making problems are solved using the vague normal set(VNS).It is possible to generalize the vague set(VS)and q-rung fuzzy set(FS)into the q-rung vague set(VS).A log q-rung normal vague weighted averaging(log q-rung NVWA),a log q-rung normal vague weighted geometric(log q-rung NVWG),a log generalized q-rung normal vague weighted averaging(log Gq-rung NVWA),and a log generalized q-rungnormal vagueweightedgeometric(logGq-rungNVWG)operator are discussed in this article.Adescription is provided of the scoring function,accuracy function and operational laws of the log q-rung VS.The algorithms underlying these functions are also described.A numerical example is provided to extend the Euclidean distance and the Humming distance.Additionally,idempotency,boundedness,commutativity,and monotonicity of the log q-rung VS are examined as they facilitate recognizing the optimal alternative more quickly and help clarify conceptualization.We chose five anemia patients with four types of symptoms including seizures,emotional shock or hysteria,brain cause,and high fever,who had either retrograde amnesia,anterograde amnesia,transient global amnesia,post-traumatic amnesia,or infantile amnesia.Natural numbers q are used to express the results of the models.To demonstrate the effectiveness and accuracy of the models we are investigating,we compare several existing models with those that have been developed.

Stability and transepithelial transport of oligopeptide(KRQKYD)with hepatocyte-protective activity from Jinhua ham in human intestinal Caco-2 monolayer cells

The study evaluated the stability of an oligopeptide(Lys-Arg-Gln-Lys-Tyr-Asp,KRQKYD)and its transport mechanism by simulating gastrointestinal digestion and a model of human intestinal Caco-2 monolayer cells in vitro.In this study,the effects of environmental factors(temperature,pH and NaCl concentration)and simulated gastrointestinal digestion on the stability of KRQKYD were evaluated by indicators of the levels of alanine transaminase(ALT),aspartate transaminase(AST)and malondialdehyde(MDA)in an alcoholinduced hepatocyte injury model.The results showed that KRQKYD still maintained satisfactory hepatocyteprotective activity after treatment with different temperatures(20-80℃),pH(3.0-9.0),NaCl concentration(1%-7%)and simulated gastrointestinal digestion,which indicated that KRQKYD showed good stability to environmental factors and simulated gastrointestinal digestion.Furthermore,the intact KRQKYD could be absorbed in a model of Caco-2 monolayer cells with a P_(app)value of(9.70±0.53)×10^(-7)cm/s.Pretreatment with an energy inhibitor(sodium azide),a competitive peptide transporter inhibitor(Gly-Pro)and a transcytosis inhibitor wortmannin did not decrease the level of transepithelial KRQKYD transport,indicating that the transport mechanism of KRQKYD was not associated with energy dependent,vector mediated and endocytosis.The tight junction disruptor cytochalasin D significantly increased the level of transepithelial KRQKYD transport(P<0.05),suggesting that intact KRQKYD was absorbed by paracellular transport.

Effects of potassium lactate on sensory attributes,bacterial community succession and biogenic amines formation in Rugao ham

To deepen the understanding in the effect of potassium lactate on the sensory quality and safety of Rugao ham,sensory attributes,physicochemical parameters,total volatile basic nitrogen(TVBN),microorganism community and biogenic amines of Rugao ham manufactured with different potassium lactate levels(0%,0.5%,1%,2%)were investigated;the relationship between microbial community and the formation of TVBN and biogenic amines was further evaluated.With the increase of potassium lactate from 0%to 2%,the increased sensory scores and the decreased total aerobic bacterial count and TVBN were observed;the abundance of Staphylococcus increased,while the content of Halomonas decreased.LDA effect size(LEf Se)and correlations analysis showed that Staphylococcus equorum and Lactobacillus fermentum could be the key species to improve sensory scores and decrease biogenic amines and TVBN.Metabolic pathway analysis further showed that amino acids metabolism and nitrogen metabolism were mainly involved in decreasing TVBN and biogenic amines in the treatment of 2%potassium lactate.

Variation of microbiological and small molecule metabolite profiles of Nuodeng ham during ripening by high-throughput sequencing and GC-TOF-MS

The internal microbial diversity and small molecular metabolites of Nuodeng ham in different processing years(the first,second and third year sample)were analyzed by high-throughput sequencing technology and gas chromatography-time of flight mass spectrography(GC-TOF-MS)to study the effects of microorganisms and small molecular metabolites on the quality of ham in different processing years.The results showed that the dominant bacteria phyla of Nuodeng ham in different processing years were Proteobacteria and Firmicutes,the dominant fungi phyla were Ascomycota and Basidiomycota,while Staphylococcus and Aspergillus were the dominant bacteria and fungi of Nuodeng ham,respectively.Totally,252 kinds of small molecular metabolites were identified from Nuodeng ham in different processing years,and 12 different metabolites were screened through multivariate statistical analysis.Further metabolic pathway analysis showed that 23 metabolic pathways were related to ham fermentation,of which 8 metabolic pathways had significant effects on ham fermentation(Impact>0.01,P<0.05).The content of L-proline,phenyllactic acid,L-lysine,carnosine,taurine,D-proline,betaine and creatine were significantly positively correlated with the relative abundance of Staphylococcus and Serratia,but negatively correlated with the relative abundance of Halomonas,Aspergillus and Yamadazyma.

基于双Hamming的NURBS曲线插补算法

针对传统非均匀有理B样条(NURBS)曲线插补中,由于理想插补步长和实际插补步长误差较大引起速度波动的问题,提出一种基于双Hamming的NURBS曲线插补算法。推导差分和导数定义分别变换Hamming方法,得到插补参数的预估、校正公式,再判断校正公式所得插补参数值是否满足速度波动率要求,满足则可继续进行插补,否则利用密勒-牛顿迭代公式对插补参数值进行迭代校正。使用四阶Runge-Kutta方法对初始两插补参数进行求解,并推导插补数值方法关于插补周期的稳定性约束条件。最后对该算法进行仿真,仿真结果表明该算法相较于二阶Taylor、四阶R-K和Adams隐显预估校正算法,平均速度波动率减少30.54%~65.57%,迭代次数减少1.23%~13.12%,证明了该算法在保证较小迭代次数的同时减少了进给速度波动率。

股骨近端防旋髓内钉与人工股骨头置换术治疗高龄股骨转子间骨折临床效果分析

目的比较股骨近端抗旋髓内钉植入（PFNA）与人工股骨头置换术（AFHR）治疗高龄股骨转子间骨折的临床效果。方法回顾性分析2014年1月～2016年1月连云港市赣榆区人民医院收治的61例股骨转子间骨折患者，其中34例采用抗旋髓内钉植入治疗（PFNA组），27例采用人工股骨头置换术（AFHR组）。分别比较两组患者手术时间、术中出血量、围术期出血量、术后住院天数、首次下地负重时间、骨折愈合时间，并在随访时应用Harris评分评价患者髋关节功能。结果PFNA组的手术时间、术中出血量、骨折愈合时间均少于AFHR组，而围术期出血量及首次下地负重时间大于AFHR组，差异均有统计学意义（均P〈0．05）。两组住院时间、Harris评分、手术优良率比较，差异无统计学意义（P〉0．05）。结论PFNA与AFHR在临床上治疗高龄股骨转子间骨折均有较好的效果，但前者具有手术时间短、术中出血量少、骨折愈合时间短的优点。

Chemical Reaction on Williamson Nanofluid’s Radiative MHD Dissipative Stagnation Point Flow over an Exponentially Inclined Stretching Surface with Multi-Slip Effects

A wide range of technological and industrial domains,including heating processors,electrical systems,mechanical systems,and others,are facing issues as a result of the recent developments in heat transmission.Nanofluids are a novel type of heat transfer fluid that has the potential to provide solutions that will improve energy transfer.The current study investigates the effect of a magnetic field on the two-dimensional flow of Williamson nanofluid over an exponentially inclined stretched sheet.This investigation takes into account the presence of multi-slip effects.We also consider the influence of viscous dissipation,thermal radiation,chemical reactions,and suction on the fluid’s velocity.We convert the nonlinear governing partial differential equations(PDEs)of the fluid flow problem into dimensionless ordinary differential equations(ODEs)through the utilization of similarity variables.We then use the homotopy analysis method(HAM)to numerically solve the resulting ordinary differential equations(ODEs).We demonstrate the effects of numerous elements on a variety of profiles through graphical and tabular representations.We observe a drop in the velocity profile whenever we increase either the magnetic number or the suction parameter.Higher values of the Williamson parameter lead to an increase in the thermal profile,while the momentum of the flow displays a trend in the opposite direction.The potential applications of this unique model include chemical and biomolecule detection,environmental cleansing,and the initiation of radiation-induced chemical processes like polymerization,sterilization,and chemical synthesis.

一种混合型数据的分布差异检验方法

针对两个独立的既含数值型分量又含分类型分量的混合型随机向量,通过对其中的分类变量引入虚拟向量,将原始的混合型随机向量转换成纯数值型随机向量,再利用转换后的两个数值型向量的能量距离,构造出检验混合型随机向量分布差异的一种简便方法.该方法相当于将普通能量距离中的欧氏距离换成欧氏距离与Hamming距离的混合距离.模拟实验与实例数据分析说明,新方法能在控制第一类错误的同时很好地鉴别两个混合型向量的分布差异,与已有的基于混合核方法的检验相比,新方法不受混合向量中数值型分量的维数影响,从而在一定程度上扩充了能量距离的应用范畴.

输电线路视频可视化监测技改项目效益智能化评估模型

为了有效评估输电线路视频可视化监测技改项目效益,设计输电线路视频可视化监测技改项目效益智能化评估模型。应用分析法建立技改项目效益智能化评估指标体系,主要包含效益量化、投入产出比、未来成本等3个一级指标;利用模糊Hamming网络建立评估模型,并确定模型的网络结构;在模型中,输入评估指标体系,不断优化网络权值,经过学习和训练,输出技改项目效益智能化评估结果。实验结果证明,该模型评估指标的Cronbach’sα系数较高,约为0.92,说明评估指标内部一致性与可靠性较高;应用该模型后可有效提升技改项目的效益,降低检修成本、故障损失成本与报废成本。

SkinSage XAI: An explainable deep learning solution for skin lesion diagnosis

Background:Skin cancer poses a significant global health threat,with early detection being essential for successful treatment.While deep learning algorithms have greatly enhanced the categorization of skin lesions,the black-box nature of many models limits interpretability,posing challenges for dermatologists.Methods:To address these limitations,SkinSage XAI utilizes advanced explainable artificial intelligence(XAI)techniques for skin lesion categorization.A data set of around 50,000 images from the Customized HAM10000,selected for diversity,serves as the foundation.The Inception v3 model is used for classification,supported by gradient-weighted class activation mapping and local interpretable model-agnostic explanations algorithms,which provide clear visual explanations for model outputs.Results:SkinSage XAI demonstrated high performance,accurately categorizing seven types of skin lesions—dermatofibroma,benign keratosis,melanocytic nevus,vascular lesion,actinic keratosis,basal cell carcinoma,and melanoma.It achieved an accuracy of 96%,with precision at 96.42%,recall at 96.28%,F1 score at 96.14%,and an area under the curve of 99.83%.Conclusions:SkinSage XAI represents a significant advancement in dermatology and artificial intelligence by bridging gaps in accuracy and explainability.The system provides transparent,accurate diagnoses,improving decision-making for dermatologists and potentially enhancing patient outcomes.

常用图像拼接算法综述

作为图像拼接的核心部分,进行拼接的算法选取显得格特重要,其中原因在于图像在采集过程中,采集信号受环境影响特别大,并且在不同应用中,对图像拼接的实时性要求也有所不同,所在要根据不同的应用领域来选取适合的拼接算法。本文的主要工作就是对当前的各种图像拼接算法进行总结,归纳,并指出各自的优点及缺点及适用范围。