An aspartic acid-functionalized water-soluble perylene bisimide, N,N'-di(2-succinic acid)-perylene-3,4,9,10-tetracarboxylic bisimide (PASP) was synthesized and characterized. It has absorbance maximum A(0-0) and A(0-1) at 527 and 498 nm (ε ≈ 1.7 × 10(4) L cm(-1) mol(-1)) respectively in pH 7.20 HEPES buffer. Two quasi-reversible redox processes with E1/2 at -0.17 and -0.71 V (vs Ag/AgCl) respectively in pH 7-12.5 aqueous solutions. PASP can react with Na2S in pure aqueous solution to form monoanion radical and dianion species consecutively. PASP(-•) has EPR signal with g = 1.998 in aqueous solution, whereas PASP(2-) is EPR silent. The monoanion radical formation is a first-order reaction with k = 8.9 × 10(-2) s(-1). Dianion species formation is a zero-order reaction and the rate constant is 4.3 × 10(-8) mol L(-1) s(-1). The presence of H2O2 greatly increases the radical formation rate constant. PASP as a two-electron transfer reagent is expected to be used in the water photolysis.
Node compromise is a serious security threat that hinders the successful deployment of large-scale wireless sensor networks. A node compromise often consists of three stages: physically obtaining and compromising the sensors, redeploying the compromised sensors, and compromised nodes launching attacks after their rejoining the network. By far, all the proposed compromise detection schemes address this problem at the third stage. In this paper, we make the first attempt to detect node compromise at the second stage. Our motivation is that for some applications an attacker may not be able to precisely deploy the compromised sensors back into their original positions. Thus, the detection of location change will become an indication of a potential node compromise. We name this node redeployment detection problem. We propose two approaches to detect node redeployment, based on the change of node neighborship and the change of measured distances between nodes, respectively. Our simulation study shows that both schemes can detect node redeployment effectively (with low false positive rate and high detection rate).
Objective. To analyze the value of neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and lymphocyte-monocyte ratio (LMR) in the evaluation of disease activity and efficacy in patients with rheumatoid arthritis (RA). Methods. The clinical data of 132 newly diagnosed RA patients admitted to our hospital from November 2018 to January 2020 were retrospectively analyzed, and the NLR, PLR, and LMR were calculated. According to the 28-joint disease activity score (DAS28), all patients was divided into the remission group (n = 40) and the active group (n = 92). According to the curative effect of the active group, the patients were divided into the effective group (n = 61) and the ineffective group (n = 39). Logistic regression analysis of clinical data was to determine the influencing factors of RA disease activity. The receiver operating characteristic curve (ROC) was used to evaluate the predictive value of NLR, PLR, and LMR on disease activity and efficacy of RA. Results. The number of cases of smoking history, the number of cases of drinking history, and NLR, PLR, CRP, and ESR levels of patients in the active group were higher than those of the remission group, and the LMR level was lower than that of the remission group; the differences were statistically significant ( P < 0.05). The results of multivariate logistic regression analysis showed that NLR, PLR, LMR, CRP, and ESR were independent influencing factors of disease activity in RA patients ( P < 0.05). The AUC of NLR, PLR, and LMR on the disease activity of RA patients was 0.872, 0.821, and 0.824, the sensitivity was 87.6%, 70.2%, and 69.3%, and the specificity was 75.6%, 76.8%, and 84.3%, respectively. The NLR and PLR values of the effective group were lower than those of the ineffective group, and the LMR values were higher than those of the ineffective group, and the differences were statistically significant ( P < 0.05). The AUC of NLR, PLR, and LMR on the efficacy of RA patients was 0.756, 0.732, and 0.779, the sensitivity was 68.4%, 60.2%, and 67.9%, and the specificity was 83.2%, 86.4%, and 85.1%, respectively. Conclusion. NLR, PLR, and LMR are the independent factors that affect the disease activity of RA patients and can better evaluate the disease activity and efficacy of RA.
CsPbBr3 QDs were successfully precipitated in specially designed boro-germanate glass with super optical properties and improved stability for wide-color-gamut displays.
Abstract-Cellphones are increasingly becoming attractive targets of various malware, which not only cause privacy leakage, extra charges, and depletion of battery power, but also introduce malicious traffic into networks. In this work, we seek system-level solutions to handle these security threats. Specifically, we propose a mandatory access control-based defense to blocking malware that launch attacks through creating new processes for execution. To combat more elaborated malware which redirect program flows of normal applications to execute malicious code within a legitimate security domain, we further propose using artificial intelligence (AI) techniques such as Graphic Turing test. Through extensive experiments based on both Symbian and Linux smartphones, we show that both our system-level countermeasures effectively detect and block cellphone malware with low false positives, and can be easily deployed on existing smartphone hardware.
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