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  • Oxford University Press (OUP)  (6)
  • 1
    In: Journal of Experimental Botany, Oxford University Press (OUP), Vol. 65, No. 22 ( 2014-12), p. 6679-6692
    Type of Medium: Online Resource
    ISSN: 1460-2431 , 0022-0957
    RVK:
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2014
    detail.hit.zdb_id: 1466717-4
    SSG: 12
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  • 2
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2023
    In:  The Computer Journal Vol. 66, No. 5 ( 2023-05-19), p. 1295-1309
    In: The Computer Journal, Oxford University Press (OUP), Vol. 66, No. 5 ( 2023-05-19), p. 1295-1309
    Abstract: A web shell is a backdoor used by hackers to control Web servers and perform privilege escalation, and thus it is crucial to detect web shells effectively. However, the detection of obfuscated web shells has always been a challenge. Inspired by adversarial training methods in the field of computer vision, this paper proposes a generative adversarial network (GAN)-based web shell detection model training framework. Since there has been no method that can generate obfuscated web shells effectively, a generator based on the genetic algorithm, which combines and optimizes the pre-set obfuscation methods, is used to obtain new obfuscation combinations and generate obfuscated samples. The whole proposed framework is named the CWSOGG. When training the detection model, the generator generates web shells that can bypass the discriminator, and the discriminator catches the features of obfuscated samples. Through the adversarial training of the discriminator and generator, the detection model improves its ability to detect obfuscated web shells. To verify the proposed framework is flexible to different models, the discriminator based on four main neural networks has been implemented. Meanwhile, to build complete feature extraction models, both statistical and semantic features are extracted. Due to the lack of web shell data, a clean dataset containing 4,375 web shells is constructed and used to evaluate the CWSOGG. The results have shown that the detection accuracy of each model increases by 86.71% on the generated obfuscated web shells on average and by 7.50% on the simulated real-world obfuscated web shells on average.
    Type of Medium: Online Resource
    ISSN: 0010-4620 , 1460-2067
    RVK:
    RVK:
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 1477172-X
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  • 3
    In: GigaScience, Oxford University Press (OUP), Vol. 7, No. 6 ( 2018-06-01)
    Type of Medium: Online Resource
    ISSN: 2047-217X
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2018
    detail.hit.zdb_id: 2708999-X
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  • 4
    In: Brain Communications, Oxford University Press (OUP)
    Abstract: Intelligence Quotient (IQ) is a vital index to evaluate the ability of an individual to think rationally, learn from experience, and deal with the environment effectively. However, limited efforts have been paid to explore the potential associations of IQ traits with the tissue proteins from brain, cerebrospinal fluid (CSF) and plasma. The information of protein quantitative trait loci (pQTLs) was collected from a recently-released genome-wide association study conducted on quantification data of proteins from the tissues including brain, CSF and plasma. Using the individual-level genotypic data from UK Biobank cohort, we calculated the polygenic risk scores (PRS) for each protein based on the pQTLs datasets above. Then Pearson correlation analysis was applied to evaluate the relationships between IQ traits (including 120,330 subjects for ‘fluid intelligence score’ and 38,949 subjects for ‘maximum digits remembered correctly’) and PRS of each protein in brain (17 Protein PRSs), CSF (116 Protein PRSs) and plasma (59 Protein PRSs). The Bonferroni corrected P value threshold was P & lt; 1.30×10-4 (0.05/384). Finally, mendelian randomization (MR) analysis was conducted to test the causal relationships between ‘fluid intelligence score’ and pre-specific proteins from correlation analysis results. Pearson correlation analysis identified significant association signals between the protein of macrophage-stimulating protein (MSP) and fluid intelligence in brain and CSF tissues (P  brain = 1.21×10-8, PCSF = 1.10×10-7), as well as between B-cell lymphoma 6 protein (BCL6) and fluid intelligence in CSF (PCSF = 1.23×10-4). Other proteins showed close-to-significant associations with the trait of ‘fluid intelligence score’, such as plasma protease C1 inhibitor (C1-INH) (PCSF = 4.19×10-4, Pplasma = 6.97×10-4), and with the trait of “maximum digits remembered correctly”, such as tenascin (TNC) (Pplasma= 3.42×10-4). Additionally, MR analysis results suggested MSP (MR-Egger: β=0.54, P=1.64×10-61 in brain; β=0.09, P=1.60×10-12 in CSF) had causal effects on fluid intelligence score. We observed functional relevance of specific tissue proteins to IQ and identified several candidate proteins, such as MSP. This study provided a novel insight to the relationship between tissue proteins and IQ traits.
    Type of Medium: Online Resource
    ISSN: 2632-1297
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2024
    detail.hit.zdb_id: 3020013-1
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  • 5
    In: Cerebral Cortex, Oxford University Press (OUP), Vol. 33, No. 11 ( 2023-05-24), p. 6585-6593
    Abstract: Longitudinal changes in brain structure and lifestyle can affect sleep phenotypes. However, the influence of the interaction between longitudinal changes in brain structure and lifestyle on sleep phenotypes remains unclear. Genome-wide association study dataset of longitudinal changes in brain structure was obtained from published study. Phenotypic data of lifestyles and sleep phenotypes were obtained from UK Biobank cohort. Using genotype data from UK Biobank, we calculated polygenetic risk scores of longitudinal changes in brain structure phenotypes. Linear/logistic regression analysis was conducted to evaluate interactions between longitudinal changes in brain structure and lifestyles on sleep duration, chronotype, insomnia, snoring and daytime dozing. Multiple lifestyle × longitudinal changes in brain structure interactions were detected for 5 sleep phenotypes, such as physical activity×caudate_age2 for daytime dozing (OR = 1.0389, P = 8.84 × 10−3) in total samples, coffee intake×cerebellar white matter volume_age2 for daytime dozing (OR = 0.9652, P = 1.13 × 10−4) in females. Besides, we found 4 overlapping interactions in different sleep phenotypes. We conducted sex stratification analysis and identified one overlapping interaction between female and male. Our results support the moderate effects of interaction between lifestyle and longitudinal changes in brain structure on sleep phenotypes, and deepen our understanding of the pathogenesis of sleep disorders.
    Type of Medium: Online Resource
    ISSN: 1047-3211 , 1460-2199
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 1483485-6
    SSG: 12
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  • 6
    In: Brain Communications, Oxford University Press (OUP), Vol. 5, No. 2 ( 2023-03-02)
    Abstract: There is a strong link between irritable bowel syndrome and brain volumes, yet, to date, research examining the mediators of this association has been little. Based on the phenotypic data of 15 248 participants from the UK Biobank, a two-stage mediation analysis was performed to assess the association among brain volumes, anxiety, and irritable bowel syndrome. In the first stage, we identified the candidate mediating role of anxiety for irritable bowel syndrome associated with brain volumes using regression models. Then, we quantified the magnitude of the mediation effects by evaluating the average causal-mediated effect and proportion of mediation through performing mediation analyses in the R package in the second stage. In the first stage, we identified the partly mediating role of anxiety in the association between irritable bowel syndrome and the volume of thalamus (Pleft = 1.16 × 10−4, Pright = 2.41 × 10−4), and grey matter (Pleft = 3.22 × 10−2, Pright = 1.18 × 10−2) in the VIIIa cerebellum. In the second stage, we observed that the proportion of the total effect of irritable bowel syndrome on volume of thalamus mediated by anxiety was 14.3% for the left region (βAverage causal-mediated effect = −0.008, PAverage causal-mediated effect = 0.004) and 14.6% for the right region (βAverage causal-mediated effect = −0.007, PAverage causal-mediated effect = 0.006). Anxiety mediated 30.8% for the left region (βAverage causal-mediated effect = −0.013, PAverage causal-mediated effect = 0.002) and 21.6% for the right region (βAverage causal-mediated effect = −0.010, PAverage causal-mediated effect x= 0.018) of the total effect of irritable bowel syndrome on the volume of grey matter in the VIIIa cerebellum. Our study revealed the indirect mediating role of anxiety in the association between irritable bowel syndrome and brain volumes, promoting our understanding of the functional mechanisms of irritable bowel syndrome and its related psychosocial factors.
    Type of Medium: Online Resource
    ISSN: 2632-1297
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 3020013-1
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