Aiming at the abnormal data behavior such as huge amount of data and easy to be stolen or lost in the process of distributed cloud computing in cloud storage environment, an abnormal data mining and detection algorithm of MapReduce based on Hadoop distributed file system (HDFS) and deep neural network is proposed. Firstly, the algorithm analyzes the MAC timestamp characteristics generated by HDFS folder replication, establishes the detection and measurement methods of replication behavior, and ensures that all the patterns that lead to data anomalies, including theft, packet loss and malicious attack, can be detected. Secondly, the algorithm combines deep neural network to design a task partition strategy suitable for arbitrary MapReduce data, and records the input dataset of HDFS hierarchical relationship. Finally, combined with the parallel processing ability of MapReduce, the efficient analysis of massive timestamp data is realized by designing the dataset and algorithm execution scheme suitable for MapReduce task partition. The experimental results show that the algorithm can control the missed detection rate and the number of false detection folders through the segmentation detection strategy. Compared with the existing big data anomaly detection method, the algorithm has higher execution efficiency and good scalability.

Deep neural network combined with MapReduce for abnormal data mining and detection in cloud storage

Ciphertext retrieval under heterogeneous data sets is a critical concern in the cloud-assisted Internet of Things (IoT). Previous ciphertext retrieval schemes eliminate computation burden and security concerns to some extent, but cannot support the encrypted heterogeneous data sets. To solve this problem, in this article we propose a transparent ciphertext retrieval system regardless of programming language, accessible platforms, and heterogeneity of data sets. The retrieval system is a novel combination of the proposed access and integration middleware with a current encrypted cloud database system. The middleware enables cross-language and cross-platform queries over various database systems, besides, it schedules the designed data integration method in heterogeneous databases to realize cross-database queries over the encrypted cloud data sets. The proposed ciphertext retrieval system achieves efficient data sharing among different IoT applications with various database systems. We prove that the system guarantees data security by avoiding malicious hackers. Extensive experiments show that our design is efficient and feasible in practice. 

Transparent Ciphertext Retrieval System Supporting Integration of Encrypted Heterogeneous Database in Cloud-Assisted IoT

AimsSubjects with type 2 diabetes (T2D) are characterized by a high cardiovascular morbidity and mortality. MG53, a marker of peripheral insulin resistance, has been linked with impaired β-cell function and decreased β-cell survival, and its circulating levels are increased in T2D. Its relationship with the cardiovascular risk profile and mortality in T2D is currently unknown.MethodsIn this longitudinal study, MG53 was measured in serum samples collected at baseline for 296 Caucasian participants in the MIND.IT study, relating its circulating levels with the cardiovascular risk profile and all-cause mortality over a 17-years follow up.ResultsAs compared to a reference cohort of 234 healthy subjects, MG53 levels were higher in T2D individuals (p<0.001), and higher in T2D women than in men (p=0.001). In the whole study cohort, MG53 levels were directly related to HbA1c (r2 0.029; p=0.006) and systolic blood pressure (r2 0.032; p=0.004). There was no difference in baseline MG53 levels between deceased and alive participants, neither predict all-cause mortality.ConclusionsMG53 does not mark the cardiovascular risk profile neither predict long-term mortality in Caucasian T2D individuals. 

MG53 does not mark cardiovascular risk and all-cause mortality in subjects with type 2 diabetes: a prospective, observational study.

Cyclophilin D induces necrotic core formation by mediating mitochondria-associated macrophage death in advanced atherosclerotic lesions

Township is the weak point and weak point in the coordinated development of China’s economy. It is also a link that must be strengthened in the coordinated development of China’s economy. The development of power grid provides a strong guarantee for the development of township economy and related industries. With the smooth progress of “SG – ERP project” of state grid corporation of China, the informatization construction of township power supply units has made remarkable achievements, and the informatization and datamation of daily management have been basically realized. However, there still exists the construction pattern of insufficient intelligence and failure to combine cloud computing technology to support the network of power supply system, which also greatly depresses the ideal implementation effect of information system. In order to fundamentally solve these constraints, it is necessary to carry out a series of power supply team integrated information system construction. In the current power supply system, the team is the direct executor of the daily work of the state grid corporation, as well as the grass-roots organization of the entire power industry. The efficiency of the township power supply station and the team directly affects the reputation of the state grid corporation. This paper will first make a detailed description of the information status of the township power supply station, and then put forward the overall framework of the township power supply station information integration construction system in this study, then the system is deployed and tested, and finally the application value and efficiency of the system are analyzed.

Integrated Information System of Township Power Supply Office and Team Based on Cloud Computing

Abstract Aims Regulated necrosis (necroptosis) and apoptosis are important biological features of myocardial infarction, ischaemia-reperfusion (I/R) injury, and heart failure. However, the molecular mechanisms underlying myocardial necroptosis remain elusive. Ischaemic preconditioning (IPC) is the most powerful intrinsic cardioprotection against myocardial I/R injury. In this study, we aimed to determine whether IPC suppresses I/R-induced necroptosis and the underlying molecular mechanisms. Methods and results We generated p55γ transgenic and knockout mice and used ligation of left anterior descending coronary artery to produce an in vivo I/R model. The effects of p55γ and its downstream molecules were subsequently identified using mass spectroscopy and co-immunoprecipitation and pulldown assays. We found that p55γ expression was down-regulated in failing human myocardium caused by coronary heart disease as well as in I/R mouse hearts. Cardiac-specific p55γ overexpression ameliorated the I/R-induced necroptosis. In striking contrast, p55γ deficiency (p55γ−/−) and cardiac-specific deletion of p55γ (p55γc-KO) worsened I/R-induced injury. IPC up-regulated p55γ expression in vitro and in vivo. Using reporter and chromatin immunoprecipitation assays, we found that Hif1α transcriptionally regulated p55γ expression and mediated the cardioprotection of IPC. IPC-mediated suppression of necroptosis was attenuated in p55γ−/− and p55γc-KO hearts. Mechanistically, p55γ overexpression decreased the protein levels of RIP3 rather than the mRNA levels, while p55γ deficiency increased the protein abundance of RIP3. IPC attenuated the I/R-induced up-regulation of RIP3, which was abolished in p55γ-deficient mice. Up-regulation of RIP3 attenuated the p55γ- or IPC-induced inhibition of necroptosis in vivo. Importantly, p55γ directly bound and degraded RIP3 in a ubiquitin-dependent manner. We identified MG53 as the E3 ligase that mediated the p55γ-induced degradation of RIP3. In addition, we also found that p55γ activated the RISK pathway during IPC. Conclusions Our findings reveal that activation of the MG53-RIP3 signal pathway by p55γ protects the heart against I/R-induced necroptosis and underlies IPC-induced cardioprotection. 

p55γ degrades RIP3 via MG53 to suppress ischemia-induced myocardial necroptosis and mediates cardioprotection of preconditioning.

The major usage of a file system integrated with a cloud computing platform is to provide the storage for VM (virtual machine) instances. Distributed file systems, especially those implemented on top of object storage have many potential advantages over traditional local file systems for VM instance storage. In this paper, we make an investigation in the requirements imposed on a file system in cloud computing scenario, and claim that the implementation of a file system for VM instance storage could be reasonably simplified. We demonstrate that on top of an object storage with simple object-granularity transaction support, a lightweight distributed file system, which requires neither journaling nor dedicated metadata services, can be developed for cloud computing. We have implemented such a distributed file system, called LCCFS (lightweight cloud computing file system), based on the RADOS (reliable autonomic distributed object storage) object storage. Our experimental results show that for the main workloads in cloud computing, LCCFS achieves almost the same or slightly higher performance than CephFS (ceph filesystem), another published distributed file system based on RADOS. Compared to CephFS, LCCFS has only one tenth of its LOCs (lines of code). This theoretical simplicity makes it easy to implement LCCFS correctly and stably by avoiding the sheer design and implementation complexity behind CephFS, thereby making LCCFS a promising candidate in the cloud computing production environment.

LCCFS: a lightweight distributed file system for cloud computing without journaling and metadata services

Background Although it is known that a history of acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is the most important predictor of future risk of AECOPD and readmission to hospitals, there is no scientific evidence that an event of only one chronic obstructive pulmonary disease (COPD)-related admission is a high risk of future readmission. We retrospectively analyzed the association of an incident of one COPD-related admission with future readmission risk. Methods This is a retrospective study. The data of AECOPD-related admissions and readmissions during 5 years were obtained and analyzed for the admission frequencies of patients with AECOPD and an association of the admission history with a future readmission risk. Results The admission frequency of patients with frequent admission (3 or more admissions within 5 years) was 4.1 times that of those with non-frequent admission (0.95 vs. 0.23 times per person per year). In each calendar year during the 5-year study period, most patients (88.2%) were hospitalized only once, and 11.8% had two or more admissions. Nevertheless, their average number of admissions in each calendar year was 3.3 times that of those who only had one admission each year (3.33 vs. 1.00 times per person per year). More importantly, the positive predictive value for future readmission due to AECOPD was only 14.8% in those who had one admission in the previous year. The patients with the greater readmission risk were those with two or more admissions due to AECOPD in the previous year [crude odds ratio (OR): 4.10, 95% confidence interval (CI): 1.24–13.58 and 7.51, 95% CI: 3.81–16.68]. Conclusions There is a subtype of frequent admission due to AECOPD, and it can be distinguished by having three or more admissions in the past 5 years or two or more admissions in the previous year. Nevertheless, an incident of admission once a year is not a good predictor of future readmission.

/pdf/is-the-incident-of-once-chronic-obstructive-pulmonary-24x8tz7e.pdf

Is the incident of once chronic obstructive pulmonary disease related admission a high risk for readmission in the future?

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p55γ degrades RIP3 via MG53 to suppress ischemia-induced myocardial necroptosis and mediates cardioprotection of preconditioning.

LCCFS: a lightweight distributed file system for cloud computing without journaling and metadata services

Is the incident of once chronic obstructive pulmonary disease related admission a high risk for readmission in the future?