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Chestnut (Castanea mollissima Bl.) is an economically important tree species that is primarily utilized for nut and timber production. The protein phosphatase 2C (PP2C) gene family contributes largely to stress responses and developmental processes in several plants. However, the classification, characteristics, and functions of chestnut PP2C genes are unknown. Here, we provide comprehensive analyses and expression profiles of PP2C genes in the chestnut genome. A total of 68 genes were identified, whose protein length (PL), molecular weights (MW) and isoelectric points (IP) are 186 ~ 1079 amino acids, 20.31 ~ 119.40 kDa, and 4.66 ~ 9.30, respectively. They are randomly distributed on 12 chromosomes. These genes formed 12 phylogenetic clusters. Most CmPP2C (PP2C in chestnut) proteins within a subgroup had similar compositions of amino acid sequences of motifs, conserved domains, and exon/introns, according to phylogenetic analyses. The expression profile analysis revealed both significant CmPP2C expression levels in leaves and seeds, and the clear involvement of CmPP2C22 in seed development and multiple abiotic stresses. These findings indicate that CmPP2C genes play potential vital roles in chestnut response to multiple abiotic stresses and provide new insights into the function of CmPP2C genes.

The Coronavirus disease-2019 (COVID-19) pandemic continues, and the death toll continues to surge. Ozone therapy has long been used in the treatment of a variety of infectious diseases, probably through its antioxidant properties and the supply of oxygen to hypoxic tissues. This systematic review and meta-analysis aimed to determine the efficacy of ozone on mortality in patients with COVID-19.A systematic search was made of PubMed, Embase, Cochrane Library, and clinicaltrials.gov, without language restrictions. Prospective controlled trials on treatment of COVID-19 with ozone, compared with placebo or blank, were reviewed. Studies were pooled to risk ratios (RRs) and weighted mean differences (WMDs), with 95% confidence intervals (CIs).Eight trials (enrolling 371 participants) met the inclusion criteria. Ozone therapy showed significant effects on mortality (RR 0.38, 95% CI 0.17-0.85; P = 0.02), length of hospital stay (WMD -1.63 days, 95% CI -3.05 to -0.22 days; P = 0.02), and polymerase chain reaction (PCR) positivity (RR 0.07, 95% CI 0.01-0.34; P = 0.001).Ozone therapy significantly reduced mortality, PCR positivity, and length of stay in hospitalized patients with COVID-19. Ozone therapy should be considered for COVID-19 patients.

Purpose We aimed to report the clinical characteristics of 194 cases coronavirus disease-19 (COVID-19) in Huanggang, Hubei and Taian, Shandong. Methods We retrospectively investigated the clinical, laboratory characteristics and CT imaging of confirmed cases of COVID-19 from January 22 to February 28, 2020 in Huanggang Central Hospital and The Second Affiliated Hospital of Shandong First Medical University. Real time PCR was used to detect the new coronavirus in respiratory samples. Immunohistochemical staining was used to detect the expressions of ACE2 in tissues. Results Among the 194 patients infected with COVID-19, 108 patients were male, with a median age of 48.3 years. The average preclinical period was 7.44 day. Except for 37 severe or critically ill patients, the rest of the 157 patients exhibited mild or moderate symptoms. 190 (97.94%) patients were confirmed during the three times nucleic acid test. The main clinical symptom of the patients were fever, sore throat and cough, which accounted for 146 cases (75.26%), 98 (50.52%) and 86 cases (44.33%), respectively. 30 patients (15.46%) showed liver dysfunction. Imaging examination showed that 141 patients (72.68%) showed abnormal density shadow, while 53 cases (27.32%) had no obvious abnormality in the parenchyma of both lungs. Up to now, 109 cases have been discharged from the hospital, and 9 patients died. The ACE2 expression levels were up-regulated in patients of severe type and critically ill type. Conclusion Clinical symptoms, laboratory tests and CT imaging should be combined for comprehensive analysis to diagnose COVID-19. ACE2 may be the receptor of COVID-19. Electronic supplementary material The online version of this article (10.1007/s15010-020-01440-5) contains supplementary material, which is available to authorized users.

Aiming at the real-time requirements for industrial control systems, we proposed a corresponding trust chain method for industrial control system application software and a component analysis method based on security sensitivity weights. A dynamic length trust chain structure is also proposed in this paper. Based on this, the industrial control system software integrity measurement method is constructed. Aimed at the validity of the model, a simulation attack experiment was performed, and the performance of the model was repeated from multiple perspectives to verify the performance of the method. Experiments show that this method can effectively meet the integrity measurement under the condition of high real-time performance, protect the integrity of files, and improve the software credibility of industrial control system.

The coverage of test cases is an important indicator for the security and robustness test of industrial control protocols. It is an important research topic to complete the test with less use cases. Taking Modbus protocol as an example, a calculation method of case similarity and population dispersion based on weight division is proposed in this paper. The method can describe the similarity of use cases and the dispersion degree of individuals in the population more accurately. Genetic algorithm is used to generate and optimize test cases, and individual similarity and population dispersion are used as fitness functions of genetic algorithm. Experimental results show that the proposed method can increase the population dispersion by 3.45% compared with the conventional methods and effectively improve the coverage of test cases.

Six-transmembrane epithelial antigen of prostate-1 (STEAP1) is a relatively newly identified gene target from prostate cancer, breast cancer, and gastric cancer. However, functions of STEAP1 in lung adenocarcinoma (LUAD) are still unknown. In the present study, we explored the molecular and cellular mechanisms of STEAP1 in LUAD. Western blot and Q-PCR were conducted to detect the protein and mRNA expressions respectively. The cell proliferation was tested by CCK8 assay. The effects of STEAP1 on the metastasis and epithelial–mesenchymal transition (EMT) of LUAD were evaluated by EdU assay, wound healing assay, and transwell migratory assay. H1650, H358, HCC827, H1299, H23, A549, H1693 were selected as human LUAD cell lines in the study. Results have shown that STEAP1 expression was up-regulated in LUAD cells compared with normal lung epithelial cells. Knockdowning of STEAP1 suppressed the proliferation, migration, and invasion of LUAD epithelial cells. Importantly, after comparing the proliferation, migration, and invasion of LUAD to the corresponding control groups treated in STAT3 inhibitor ADZ1480, we found that STEAP1 regulates EMT via Janus kinase 2/signal transducer and activator of transcription 3 (JAK2/STAT3) signaling pathway. In conclusion, STEAP1 can serve as a therapeutic target, and it may have important clinical implications for LUAD treatment.

Information security risk assessment for industrial control system is usually influenced by uncertain factors. For effectively dealing with problem that the uncertainty and quantification difficulties are caused by subjective and objective factors in the assessment process, an information security risk assessment method based on attack tree model with fuzzy set theory and probability risk assessment technology is proposed, which is applied in a risk scenario of ship control system. Firstly, potential risks of the control system are analyzed and the attack tree model is established. Then triangular fuzzy numbers and expert knowledge are used to determine the factors that influence the probability of a leaf node and the leaf nodes are quantified to obtain the interval probability. Finally, the fuzzy arithmetic is used to determine the interval probability of the root node and the attack path. After defuzzification, the potential risks of the system and the probability of occurrence of each attack path are obtained. Compared with other methods, the proposed method can greatly reduce the impact of subjectivity on the risk assessment of industrial control systems and get more stable, reliable, and scientific evaluation results.

Finite element analysis (FEA) provides numerical modeling and testing methods of stress analysis for products. The time of products development cycle can be shorten and the cost for products physical testing can be reduced with FEA. Drop test is one of the important tools uses for the impact behaviour study of cell phones, which identifies weak design points during the impact behaviour of cell phone. With the development of technology and growing of people’s demand, the screen of cell phone is getting bigger and bigger. Full-screen smartphones have become a trend. It is necessary that modeling and analyzing for full-screen smartphones are considered. This study conducts free-drop simulation and analysis on full-screen smartphones based on ABAQUS/CAE.

For the fragile security status and the growing threat of attack on industrial control systems, it is paticu1arly important to strengthen the technology of security protection. After a detailed study of the characteristics of industrial control systems, this paper put forward design scheme of industrial firewall based on Modbus/TCP protocol combining qwhite listq security policies with deep packet inspection technology, and realizing on the Linux platform. The experimenta1 results show that the firewall can effectively intercept illegal data stream and ensure the normal operation of the industrial control system.

In order to detect abnormal communication behaviors efficiently in today's industrial control system, a new intrusion detection algorithm based on One-Class Support Vector Machine OCSVM is proposed in this paper. In this algorithm, a normal communication behavior model is established by using OCSVM, and the Particle Swarm Optimization algorithm is designed to optimize OCSVM model parameters. Furthermore, we adopt the normal Modbus function code sequence to train OCSVM model, and then use this model to detect abnormal Modbus TCP traffic. Our simulation results show that the proposed algorithm not only is efficient and reliable but also meets the real-time requirements of anomaly detection in industrial control system. Copyright © 2015 John Wiley & Sons, Ltd.

Newly assembled automobile transmission has its particular failure characteristic, strict quality testing working procedure on the assembly line is important for quality of automobile transmission. In this paper, we introduce a new automatic fault detection method for automobile transmission. A fault diagnosis expert system for newly assembled transmission is presented, related method of knowledge representation, feature extraction and fault classification is given. Order spectrum analysis method is used to analyze vibratory signal of automobile transmission. After initial feature vectors set are obtained, improved genetic search strategy is used to select fault features, so as to reduce the dimension of feature vector set. Selected feature vector sets are inputted into the BP neural network for fault identification and classification of the newly assembled automobile transmission. A large number of data are collected from industrial site and analyzed, proposed algorithm is verified to be effective and exact.

To evaluate the diagnosis model of serum tumor biomarker and several clinical features diagnose and classification for lung cancer, the solid protein chip technology (C-12) was used to detect the biomarkers of SF, CEA, CA242, NSE, CA125, CA19-9 and CA15-3 in serum and several clinical features of tumors and benign disease in elderly lung cancer patients were collected. Set up a discriminating analysis as a function diagnostic model in clinical elderly lung cancer diagnosis and sub-type discrimination. In combination of 2 obvious clinical indicators and 2 serum markers, it is possible to provide a diagnosis tool for lung cancer. With the help of mathematic model, it is promising to reduce the misjudgment risk based on the previous experience and therefore establish a reliable diagnosing function. This model is simple, cost-effective and easy to adapt in practice, and can also be used in screening of large population.

There is an increasing consensus that it is necessary to resolve the security issues in today's industrial control system. From this point, this paper proposes an anomaly detection approach based on function code traffic to detect abnormal Modbus/TCP communication behaviors efficiently. Furthermore, this approach analyzes the Modbus/TCP communication packets in depth, and obtains the function code in each packet. According to the function code traffic change, this approach uses the Cumulative Sum (CUSUM) algorithm for change point detection, and generates an alarm. Our simulation results show that, the proposed approach is very available and effective to provide the security for industrial control system. Besides, we also discuss some advantages and drawbacks when using this approach.

Based on ArcGIS software, a multi-function vehicle management platform was developed, which realized functions of Vehicle electronic barrier setting, map labeling, vehicle orientation, vehicle status display, history track replay, real-time monitoring and early alarming, fault diagnosis and displaying different vehicles on multi-Screen at the same time. During the development of vehicle fleet management system ,the system architecture was built, and the system involved a number of key technology: service of data transparent transmission, query and replay history track of vehicle, and Multi -Screen display. The result suggested that the scheduling platform could display locations and state information of vehicles in a dynamic way, and have friendly interface and convenient operation. Index Terms - Vehicle management platform; ArcGIS; real-time monitoring; Data transparent transmission; History track replay