Results 121 to 130 of about 2,602,398 (316)
Bayesian-network-approximate-reasoning-based method for network vulnerabilities evaluation
Tongxin xuebao, 2008 To evaluate the large-scale computer networks,a Bayesian-network-approximate-reasoning-based method for vulnerabilities evaluation was proposed.First,it models the elements which compose the network and the factors which affect the network security ...
JIA Wei1 +3 more
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Molecular Oncology, EarlyView.Analysis of treatment‐naïve high‐grade serous ovarian carcinoma (HGSOC) and control tissues for ERVs, LINE‐1 (L1), inflammation, and immune checkpoints identified five clusters with diverse patient recurrence‐free survivals. An inflammation score was calculated and correlated with retroelement expression, where one novel cluster (Triple‐I) with high ...
Laura Glossner +6 more
wiley +1 more source
Queuing system GI/M/1/N with randomly dropping packets mechanism
Tongxin xuebao, 2006 For the original GI/M/1/N queuing system was not suitable to model the queue management mechanism,a queuing system GI/M/1/N with randomly dropping packets mechanism was discussed by means of thinning of recurrent flows.In addition,the packet loss rate ...
WANG Hao1, LI Xiao-ming1
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Molecular Oncology, EarlyView.A DIA‐MS‐based proteomics analysis of serum samples from GB patients and healthy controls showed that high levels of IL1R2 and low levels of CRTAC1 and HRG in serum are associated with poor survival outcomes for GB patients. These circulating proteins could serve as biomarkers for the prediction of outcome in patients with GB.
Anne Clavreul +11 more
wiley +1 more source
The complexity of computations by networks
IBM Journal of Research and Development, 1987 Summary: We survey the current state of knowledge concerning the computation of Boolean functions by networks, with particular emphasis on the addition and multiplication of binary numbers.
openaire +3 more sources
Molecular Oncology, EarlyView.Cotargeting EGFR and STAT3 with Erlotinib and TTI‐101 impairs both 2D and 3D growth of ETV1‐overexpressing prostate cancer cells by disrupting a self‐sustaining ETV1–EGFR positive feedback loop that promotes EGFR and STAT3 expression and phosphorylation (activation).
Elsa Gomes Paiva +5 more
wiley +1 more source
Efficiency in the use of a computer for network analysis [PDF]
Efficiency in use of digital computer for network ...
Chan, S. P., Munoz, R. M.
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Molecular Oncology, EarlyView.Human cytomegalovirus infection is common in normal prostate epithelium, prostate tumor tissue, and prostate cancer cell lines. CMV promotes cell survival, proliferation, and androgen receptor signaling. Anti‐CMV pharmaceutical compounds in clinical use inhibited cell expansion in prostate cancer models in vitro and in vivo, motivating investigation ...
Johanna Classon +13 more
wiley +1 more source
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie ŚrodowiskaThe main objective of this article is to provide recommendations for improving the quality of service indicators in priority service corporate computer networks, including the probability of denial of service attacks, the probability of timely and ...
Zakir Nasib Huseynov
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