Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation

The success of deep transfer learning in fault diagnosis is attributed to the collection of high-quality labeled data from the source domain.However,in engineering scenarios,achieving such high-quality label annotation is difficult and expensive.The incorrect label annotation produces two negative effects:1)the complex decision boundary of diagnosis models lowers the generalization performance on the target domain,and2)the distribution of target domain samples becomes misaligned with the false-labeled samples.To overcome these negative effects,this article proposes a solution called the label recovery and trajectory designable network(LRTDN).LRTDN consists of three parts.First,a residual network with dual classifiers is to learn features from cross-domain samples.Second,an annotation check module is constructed to generate a label anomaly indicator that could modify the abnormal labels of false-labeled samples in the source domain.With the training of relabeled samples,the complexity of diagnosis model is reduced via semi-supervised learning.Third,the adaptation trajectories are designed for sample distributions across domains.This ensures that the target domain samples are only adapted with the pure-labeled samples.The LRTDN is verified by two case studies,in which the diagnosis knowledge of bearings is transferred across different working conditions as well as different yet related machines.The results show that LRTDN offers a high diagnosis accuracy even in the presence of incorrect annotation.

Computational prediction of over-annotated protein-coding genes in the genome of Agrobacterium tumefaciens strain C58

Agrobacterium tumefaciens strain C58 is a type of pathogen that can cause tumors in some dicotyledonous plants.Ever since the genome of A. tumefaciens strain C58 was sequenced, the quality of annotation of its protein-coding genes has been queried continually, because the annotation varies greatly among different databases. In this paper, the questionable hypothetical genes were re-predicted by integrating the TN curve and Z curve methods. As a result, 30 genes originally annotated as ＂hypothetical＂ were discriminated as being non-coding sequences. By testing the re-prediction program 10 times on data sets composed of the function-known genes, the mean accuracy of 99.99% and mean Matthews correlation coefficient value of 0.9999 were obtained. Further sequence analysis and COG analysis showed that the re-annotation results were very reliable. This work can provide an efficient tool and data resources for future studies of A. tumefaciens strain C58.

Treatment of Uncertainties with Algorithms of the Paraconsistent Annotated Logic

The method presented in this work is based on the fundamental concepts of Paraconsistent Annotated Logic with annotation of 2 values (PAL2v). The PAL2v is a non-classic Logics which admits contradiction and in this paper we perform a study using mathematical interpretation in its representative lattice. This studies result in algorithms and equations give an effective treatment on signals of information that represent situations found in uncertainty knowledge database. From the obtained equations, algorithms are elaborated to be utilized in computation models of the uncertainty treatment Systems. We presented some results that were obtained of analyses done with one of the algorithms that compose the paraconsistent analyzing system of logical signals with the PAL2v Logic. The paraconsistent reasoning system built according to the PAL2v methodology notions reveals itself to be more efficient than the traditional ones, because it gets to offer an appropriate treatment to contradictory information.

Improved genome annotation of Brassica oleracea highlights the importance of alternative splicing

Brassica oleracea has been developed into many important crops,including cabbage,kale,cauliflower,broccoli and so on.The genome and gene annotation of cabbage(cultivar JZS),a representative morphotype of B.oleracea,has been widely used as a common reference in biological research.Although its genome assembly has been updated twice,the current gene annotation still lacks information on untranslated regions(UTRs)and alternative splicing(AS).Here,we constructed a high-quality gene annotation(JZSv3)using a full-length transcriptome acquired by nanopore sequencing,yielding a total of 59452 genes and 75684 transcripts.Additionally,we re-analyzed the previously reported transcriptome data related to the development of different tissues and cold response using JZSv3 as a reference,and found that 3843 out of 11908 differentially expressed genes(DEGs)underwent AS during the development of different tissues and 309 out of 903 cold-related genes underwent AS in response to cold stress.Meanwhile,we also identified many AS genes,including BolLHCB5 and BolHSP70,that displayed distinct expression patterns within variant transcripts of the same gene,highlighting the importance of JZSv3 as a pivotal reference for AS analysis.Overall,JZSv3 provides a valuable resource for exploring gene function,especially for obtaining a deeper understanding of AS regulation mechanisms.

Meibomian glands segmentation in infrared images with limited annotation

●AIM:To investigate a pioneering framework for the segmentation of meibomian glands(MGs),using limited annotations to reduce the workload on ophthalmologists and enhance the efficiency of clinical diagnosis.●METHODS:Totally 203 infrared meibomian images from 138 patients with dry eye disease,accompanied by corresponding annotations,were gathered for the study.A rectified scribble-supervised gland segmentation(RSSGS)model,incorporating temporal ensemble prediction,uncertainty estimation,and a transformation equivariance constraint,was introduced to address constraints imposed by limited supervision information inherent in scribble annotations.The viability and efficacy of the proposed model were assessed based on accuracy,intersection over union(IoU),and dice coefficient.●RESULTS:Using manual labels as the gold standard,RSSGS demonstrated outcomes with an accuracy of 93.54%,a dice coefficient of 78.02%,and an IoU of 64.18%.Notably,these performance metrics exceed the current weakly supervised state-of-the-art methods by 0.76%,2.06%,and 2.69%,respectively.Furthermore,despite achieving a substantial 80%reduction in annotation costs,it only lags behind fully annotated methods by 0.72%,1.51%,and 2.04%.●CONCLUSION:An innovative automatic segmentation model is developed for MGs in infrared eyelid images,using scribble annotation for training.This model maintains an exceptionally high level of segmentation accuracy while substantially reducing training costs.It holds substantial utility for calculating clinical parameters,thereby greatly enhancing the diagnostic efficiency of ophthalmologists in evaluating meibomian gland dysfunction.

1株猪源动物联合乳杆菌S7全基因组测序及生物信息学分析

[目的]旨在对1株具有较强耐酸耐胆盐特性的猪源动物联合乳杆菌S7进行全基因组测序及生物信息学分析。[方法]结合三代PacBio RSⅡ和二代Illumina HiSeq 2000测序技术对动物联合乳杆菌S7进行了全基因组测序,在此基础上使用GO、EggNOG、KEGG、CAZy、VFDB和CARD等数据库注释功能基因,利用TYGS(Type Strain Genome Server)构建系统发育树,并与2株同源模式菌株进行了共线性分析。[结果]动物联合乳杆菌S7的基因组大小为2.03 Mb, GC含量为44.14%,共预测到1 993个编码基因,包含65个tRNA、19个rRNA、35个sRNA、29个持家基因、11个基因组岛、6个前噬菌体、4个CRISPR-Cas、8个插入序列和10个转座子;分别有1 521、1 567、1 185和60个基因在GO、EggNOG、KEGG和CAZy数据库中得到注释;在VFDB和CARD数据库中注释到181个毒力基因和110个耐药基因;另外有14个基因参与耐酸,2个基因参与耐胆盐,22个基因参与黏附和聚集;基因组中还包括与温度应激、氧化应激和细菌素合成等多种与益生功能相关的基因。系统发育树和共线性分析发现,该菌株与模式菌株Ligilactobacillus animalis P38的进化关系最近。[结论]动物联合乳杆菌S7基因组中具有与耐酸、耐胆盐、黏附和聚集、温度应激、氧化应激和细菌素等相关的功能基因,可为菌株在饲料添加剂中的科学应用提供理论依据。

亡佚的经典:试论《苍颉篇》的经典化及经典地位

《苍颉篇》的经典地位问题以往学者均未论及,它是秦代“书同文”政策的产物,也是这一活动的重要组成,在文字编排及结构两个方面都深刻地影响了《说文解字》的编纂。在汉代,《苍颉篇》不仅与入仕息息相关,从同墓葬的伴出文献可推知它也是深受贵族重视的典籍,尤其值得重视的是它对汉代辞赋家产生过重要影响。通过官方所组织的两次文字会议均以之为核心来看,除表明《苍颉篇》的特殊地位,还可知其与古文经学有重要的关联。经过扬雄、杜林、张揖、郭璞等的注释工作后,《苍颉篇》的身份在南北朝隋唐时期发生了转换,它开始成为学者注释古书的重要参考。本文所论也提示我们应该重新审视对虽已亡佚却在历史上产生过深远影响的古书的评价。

文献信息资源用户泛在化标注模式研究

文献资源是数字图书馆最重要的信息资源,然而当前文献信息资源泛在服务能力不足问题凸显。研究以学术论文为文献信息资源代表,提出用户泛在化标注体系。首先,基于文献调研法和德尔菲法构建用户泛在化标注体系,设计用户泛在化标注系统收集标注者、标注行为和标注内容数据;然后,使用统计分析、时间序列分析等方法进行特征揭示,根据用户标注数据分析标注者个体特征、标注内容分布及演化特征;最后,研究采用用户实验和问卷相结合的方法开展用户阅读实验,验证用户泛在化标注体系的有效性,评估用户泛在化标注、传统分类主题标注的学术论文阅读效果是否存在差异。研究发现:用户泛在化标注体系多维揭示了学术论文的内容特征与形式特征,获得较高用户满意度。用户泛在化标注是对传统分类主题标注的重要补充,探索用户泛在化标注模式有助于改善用户阅读体验,提升学术资源泛在服务能力。

基于Annotation的Spring AOP系统设计

简要介绍AOP(Aspect Oriented Programming)技术和Annotation技术,讨论了Spring中的AOP的两种实现。通过同一个案例阐述了在Spring中通过XML配置来实现AOP和使用了Annotation在Spring中实现AOP,比较了两种实现方式的优缺点。对在Spring使用Annotation实现AOP作了总结,从而体现了Annotation在设计系统时其简洁性和良好的扩展性。

A Family of High_order Accuracy Explicit Difference Schemes for Solving 2-D Parabolic Partial Differential Equation

A family of high_order accuracy explicit difference schemes for solving 2_dimension parabolic P.D.E. are constructed. Th e stability condition is r=Δt/Δx 2=Δt/Δy 2【1/2 and the truncation err or is O(Δt 3+Δx 4).

基于XML和Annotation的异构系统数据集成方式的研究

论文运用XML的强大数据表达能力以及J2EE的反射以及Annotation编程来实现异构系统数据集成方式。该方式通过对原始结构代码进行简单的标记,将不同的数据结构串联起来。同时在转换的过程中将细节屏蔽起来并封装成标准接口,用户只需要将提供输入以及所需要的数据结构类型就可以方便地进行转换。最后论文给出集成系统详细的设计方法。

基于Annotation的Spring AOP日志处理的设计与实现

系统维护和错误排查需要程序能自动的输出日志信息,将用户的操作记录下来。而日志本身不太可能是你开发的主程序的主要任务。如果能将"不可见的"、通用的日志代码注入主程序中,而保证自身业务逻辑的纯洁性,降低代码之间的耦合度,增加程序的灵活性和可重用性。本文使用Spring AOP的Annotation方式,写一个切面,并且指定切入的范围(切入点),当系统运行后,日志信息将可以自动输出或记录在指定的文件及数据库中。

使用Annotation标识Java程序中的设计模式信息

提出一种基于标注(Annotation)的Java程序中设计模式信息的表示方法.通过定义相关的标注,在程序中标识被实例化的模式信息,如模式名、角色名等.同时,提取程序中的Annotation信息后,根据需要可以对它们作进一步的格式化处理.该方法有效地解决了模式实例的文档化问题,有助于程序的理解和逆向工程中模式的识别.

使用Annotation和拦截器实现访问控制

访问控制是Web应用系统中的主要问题之一。基于数据库和基于配置文件两种方式的访问控制存在如下问题:实现复杂;与类的设计分离,容易产生不一致;实现细粒度较困难等。针对这些问题,结合网络教学系统的开发,提出了一种基于Annotation和拦截器实现访问控制的实现方法。Annotation是在JDK1.5之后的版本中出现的新的用于标注元数据的类型。Interceptor(拦截器)是Struts 2的一个强有力的工具,用于在某个方法或字段被访问之前进行拦截,然后在之前或之后加入某些操作,它是AOP(Aspect-Oriented Programming,面向方面的程序设计)的一种实现策略。通过这两种技术结合来实现访问控制,容易将访问控制的设计与类的设计统一起来,系统的响应速度快,便于实现细粒度。

Product image sentence annotation based on kernel descriptors and tag-rank

Dealing with issues such as too simple image features and word noise inference in product image sentence anmotation, a product image sentence annotation model focusing on image feature learning and key words summarization is described. Three kernel descriptors such as gradient, shape, and color are extracted, respectively. Feature late-fusion is executed in turn by the multiple kernel learning model to obtain more discriminant image features. Absolute rank and relative rank of the tag-rank model are used to boost the key words＇ weights. A new word integration algorithm named word sequence blocks building （WSBB） is designed to create N-gram word sequences. Sentences are generated according to the N-gram word sequences and predefined templates. Experimental results show that both the BLEU-1 scores and BLEU-2 scores of the sentences are superior to those of the state-of-art baselines.

基于Annotation的Java单元测试框架

注解(Annotation)在广泛应用于企业级的Java框架中,注解并不影响代码的语义,但能为系统或容器提供大量的信息,使企业级的应用配置变得更加简洁。文章对如何利用Java的Annotation特性来实现单元测试自动化进行了探讨与实践。

基于Annotation的Spring事务应用设计

本文简要介绍Spring的事务实现技术,讨论了Spring中的事务的两种实现方式。通过同一个案例阐述了在Spring中通过xml配置来实现事务和使用了Annotation实现事务,比较了两种实现方式的优缺点。

基于Annotation数据结构自动生成的研究与实现

为了使整个数据库设计更加工程化、规范化和便捷化,使用Annotation注解技术实现数据库物理结构的自动生成,使之从数据库设计文档自动生成关系型数据库结构代码的方法,从而大大缩减了相关数据库开发的周期,提高了数据库开发的效率.

用Annotation简化Java程序的开发

简要介绍了Annotation技术本身的实现原理,并通过具体实例阐述了如何在软件开发中使用Annotation技术来简化Java程序开发的复杂性,提高程序的可读性和易用性。同时归纳了Annotation技术与XML技术各自的优缺点及适用范围。

顾宸《辟疆园杜诗注解》笺注特点考论——以《秋兴八首》为中心

清初顾宸所著《辟疆园杜诗注解》借鉴钱谦益诗史互证的诠释方法,在钩沉史事进行诠释的同时,亦注重立足诗歌文本进行诠释,善于剖析诗作章法结构,于诗情、诗意能在时代大背景下结合杜甫的经历、心境作设身处地的分析与阐发。以《秋兴八首》为中心考察《辟疆园杜诗注解》的笺注特点,从以史证诗、注重章法和以情作注三个方面展开讨论,探究其对钱谦益诗史互证方法的继承与运用,能够发掘顾宸笺注杜诗之优长,认识其不足,从而对这一杜诗注本的笺注方法与特点有更为具体深入的认知。