A secure visual framework for multi-index protection evaluation in networks

Mining the core value of Industrial Internet of Things(IIoT)data safely and reducing the risk of malicious attacks are the inherent requirements of industrial data visualization.Visualization technology has become the main tool for data aggregation,mining and analysis of IIoT data through graphical representation.However,visualization technology still has two shortcomings in big data calculation and analysis scenarios.On the one hand,visual results will lead to the disclosure of sensitive privacy.On the other hand,most visualization tools can't provide an interactive framework for users to select the suitable solutions.To address these problems,we present an open accessible Visual framework based on Differential Privacy theory(VisDP),which provides Multi-index Quantitative comprehensive Evaluation technology(MQE)for data mining results.Considering the advantages of interactive mechanism,VisDP provides rich optional schemes,including the operating web,calling API and the downloading SDK.Finally,we verify the availability and privacy of MQE through mathematical proofs,analyze the hospital medical waste detection system that actually applies the framework,and the experimental results have showed the effectiveness and practicality of the proposed platform.

Chromosome-scale genomes of Quercus sichourensis and Quercus rex provide insights into the evolution and adaptation of Fagaceae

The Fagaceae,a plant family with a wide distribution and diverse adaptability,has garnered significant interest as a subject of study in plant speciation and adaptation.Meanwhile,certain Fagaceae species are regarded as highly valuable wood resources due to the exceptional quality of their wood.In this study,we present two high-quality,chromosome-scale genome sequences for Quercus sichourensis(848.75 Mb)and Quercus rex(883.46 Mb).Comparative genomics analysis reveals that the difference in the number of plant disease resistance genes and the nonsynonymous and synonymous substitution ratio(Ka/Ks)of protein-coding genes among Fagaceae species are related to different environmental adaptations.Interestingly,most genes related to starch synthesis in the investigated Quercoideae species are located on a single chromosome,as compared to the outgroup species,Fagus sylvatica.Furthermore,resequencing and population analysis of Q.sichourensis and Q.rex reveal that Q.sichourensis has lower genetic diversity and higher deleterious mutations compared to Q.rex.The high-quality,chromosome-level genomes and the population genomic analysis of the critically endangered Q.sichourensis and Q.rex will provide an invaluable resource as well as insights for future study in these two species,even the genus Quercus,to facilitate their conservation.

Recent progress in Prussian blue electrode for electrochromic devices

Great progress has been made in the electrochromic(EC)technology with potential applications in various fields.As one of the most promising EC materials,Prussian blue(PB)has attracted great attention due to its excellent EC performance,such as low cost,easy synthesis,rich color states,chemical stability,suitable redox potential,and fast color-switching kinetics.This review summarizes the recent progress in PB electrodes and devices,including several typical preparation techniques of PB electrodes,as well as the recent key strategies for enhancing EC performance of PB electrodes.Specifically,PB-based electrochromic devices(ECDs)have been widely used in various fields,such as smart windows,electrochromic energy storage devices(EESDs),wearable electronics,smart displays,military camouflage,and other fields.Several opportunities and obstacles are suggested for advancing the development of PB-based ECDs.This comprehensive review is expected to offer valuable insights for the design and fabrication of sophisticated PBbased ECDs,enabling their practical integration into realworld applications.

小鼠腹壁不同解剖层次线结诱导γ-干扰素和淋巴毒素-β表达的研究

目的小儿腹腔镜监视下经皮腹膜外内环结扎术后有时会出现线结反应。本研究旨在探索腹壁不同层次打结诱导的迟发型超敏反应相关性蛋白的表达水平情况。方法Balb/C小鼠随机分组,在同一小鼠腹壁自左向右分别纵向剪开3个皮肤切口(0.5 cm长),分别经切口处用无菌平镊提起全腹壁,采用4-0带针慕斯线进针贯穿腹壁至壁层腹膜内,经切口直视下经原针孔采用钩针将带针丝线折返钩出,经原线道出针,分别打结于皮下、肌层内和腹膜外间隙。术后14 d取材打结部位腹壁标本,连续冰冻切片进行组织化学和凋亡染色观察与分析。结果免疫组织化学和半定量检测显示皮下组线结周围γ-干扰素和淋巴毒素-β的表达最为明显,腹膜外线结组最轻微,半定量检测分析显示差异有统计学意义。TUNEL检测可见腹膜外线结周围凋亡细胞最少,半定量检测分析显示差异有统计学意义。结论线结位于深层腹膜外间隙引起超敏反应轻微,皮下浅层线结引起超敏反应最明显。提示对于腹腔镜监视下经皮腹膜外内环结扎术,将线结打在腹膜外间隙有利于降低线结诱导的超敏反应和超敏反应相关并发症的发生率。

Thirteen Dipterocarpoideae genomes provide insights into their evolution and borneol biosynthesis

Dipterocarpoideae,the largest subfamily of the Dipterocarpaceae,is a dominant component of Southeast Asian rainforests and is widely used as a source of wood,damar resin,medicine,and essential oil.However,many Dipterocarpoideae species are currently on the IUCN Red List owing to severe degradation of their habitats under global climate change and human disturbance.Genetic information regarding these taxa has only recently been reported with the sequencing of four Dipterocarp genomes,providing clues to the function and evolution of these species.Here,we report on 13 high-quality Dipterocarpoideae genome assemblies,ranging in size from 302.6 to 494.8 Mb and representing the five most species-rich genera in Dipterocarpoideae.Molecular dating analyses support the Western Gondwanaland origin of Dipterocarpaceae.Based on evolutionary analysis,we propose a three-step chromosome evolution scenario to describe the karyotypic evolution from an ancestor with six chromosomes to present-day species with 11 and 7 chromosomes.We discovered an expansion of genes encoding cellulose synthase(CesA),which is essential for cellulose biosynthesis and secondary cell-wall formation.We functionally identified five bornyl diphosphate synthase(BPPS)genes,which specifically catalyze the biosynthesis of borneol,a natural medicinal compound extracted from damar resin and oils,thus providing a basis for large-scale production of natural borneol in vitro.

A differential privacy protection query language for medical data:a proof-of-concept system validation

Objective: Medical data mining and sharing is an important process in E-Health applications. However, because these data consist of a large amount of personal private information of patients, there is the risk of privacy disclosure when sharing and mining. Therefore, ensuring the security of medical big data in the process of publishing, sharing, and mining has become the focus of current research. The objective of our study is to design a framework based on a differential privacy protection mechanism to ensure the secure sharing of medical data. We developed a privacy protection query language (PQL) that integrates multiple data mining methods and provides a secure sharing function.Methods: This study is mainly performed in Xuzhou Medical University, China and designs three sub-modules: a parsing module, mining module, and noising module. Each module encapsulates different computing methods, such as a composite parser and a noise theory. In the PQL framework, we apply the differential privacy theory to the results of the computing between modules to guarantee the security of various mining algorithms. These computing devices operate independently, but the mining results depend on their cooperation. In addition, PQL is encapsulated in MNSSp3 that is a data mining and security sharing platform and the data comes from public data sets, such as UCBI. The public data set (NCBI database) was used as the experimental data, and the data collection time was January 2020.Results: We designed and developed a query language that provides functions for medical data mining, sharing, and privacy preservation. We theoretically proved the performance of the PQL framework. The experimental results show that the PQL framework can ensure the security of each mining result and the availability of the output results is above 97%.Conclusion: Our framework enables medical data providers to securely share health data or treatment data and develops a usable query language, based on a differential privacy mechanism, that enables researchers to mine information securely using data mining algorithms.