IEPSBP: A Cost-Efficient Image Encryption Algorithm Based on Parallel Chaotic System for Green IoT

With the fast development of the Internet of Things (IoT) technologies, more IoT devices are currently connected with the Internet, resulting in more exchange of information. However, data privacy and security threats have become emerging challenges of the IoT. In this paper, we are concerned about the security of image transmission in green IoT. Image encryption algorithms for green IoT are faced with two challenges: 1) To save the cost, devices in green Internet of Things (IoT) always have very low computing power, so they cannot support high-precision computing and 2) The algorithm deployed on the device should be efficient to guarantee the device to run for a long time. To solve the problem of precision limited, we propose a parallel chaotic system named PSBP.1 The PSBP is composed of Piecewise Linear Chaotic Map (PWLCM), Skew Tent Map (STM) and Bernoulli map in parallel model with the limited precision of 16-bit, which can generate good-performance key matrix for encryption. Then, we introduce a cost-efficient image encryption algorithm based on PSBP (named IEPSBP) which addresses the second challenge. Instead of bits or bytes, we use one row or one column as the basic unit to realize permutation and diffusion. The security analysis and performance experiments indicate that IEPSBP is secure and cost-efficient for green IoT.This work was supported in part by the National Key Research and Development Program of China under Grant 2019YFB1706003; in part by the China Postdoctoral Science Foundation under Grant 2019M663358; in part by the National Natural Science Foundation of China under Grant U20B2046; in part by the Guangdong Higher Education Innovation Group under Grant 2020KCXTD007; in part by the Guangzhou Higher Education Innovation Group under Grant 202032854; in part by the Guangdong Province Universities and Colleges Pearl River Scholar Funded Scheme (2019); in part by the Guangdong-Macau Joint Laboratory for Advanced and Intelligent Computing under Grant 2020B1212030003; and in part by the GuangdongMacau Joint STI Project Intelligent Target Detecting and Tracking on Electronic Fence under Grant 2021A0505080008

Effects of prostaglandin E1 nebulization of ventilated lung under 60%O2 one lung ventilation on patients’ oxygenation and oxidative stress: a randomised controlled trial

BACKGROUND: High FiO2 during one-lung ventilation (OLV) can improve oxygenation, but increase the risk of atelectasis and oxidative stress. The aim of this study was to analyze whether Prostaglandin E1 (PGE1) can improve oxygenation and attenuate oxidative stress during OLV under a lower FiO2. METHODS: Ninety patients selectively undergoing thoracotomy for esophageal cancer were randomly divided into three groups (n = 30/group): Group P (FiO2 = 0.6, inhaling PGE1 0.1 μg/kg), Group L (FiO2 = 0.6) and Group C (FiO2 = 1.0). The primary outcomes were oxygenation and pulmonary shunt during OLV. Secondary outcomes included haemodynamics, respiratory mechanics and oxidative stress in serum. RESULTS: Patients in Group P had significantly higher PaO2 and lower shunt fraction in 30 min of OLV compared with Group L. Compared with Group C, patients in Group P had similar levels of PaO2/FiO2 in 60 min and higher levels of PaO2/FiO2 at 2 h during OLV. The levels of PvO2 and SvO2 in Group P and Group L were significantly lower than Group C. Patients in Group P and Group L had significantly higher levels of superoxide dismutase and lower levels of malondialdehyde than Group C. No significant differences were found in SPO2, ETCO2, PaCO2, Paw, HR and MAP among the three groups. The complications in Group C were significantly higher than another two groups. CONCLUSION: PGE1 can maintain adequate oxygenation in patients with low FiO2 (0.6) during OLV. Reducing FiO2 to 0.6 during OLV can decrease the levels of oxidative stress and complications after OLV

Effects of Press Needling combined with general anesthesia on postoperative analgesia in thoracoscopic pulmonary resection for lung cancer: A randomized, single-blind, controlled trial

Objectives: To investigate the effects of press needle therapy on postoperative analgesia and other relevant complications in patients undergoing thoracoscopic pulmonary resection. Design: randomized, single-blind, controlled trial Setting: Teaching hospitals affiliated with universities. Interventions: Eighty-six patients were randomized into: the Acu group (press-needle group) and the control group Main outcome measures: Pain levels 24, 48, and three months after surgery were measured using the numeric rating scale (NRS). Perioperative hemodynamics, total and effective pressing numbers of patient-controlled intravenous analgesia (PCIA), and incidence of postoperative pulmonary complications were recorded. Peripheral blood samples were collected to measure the levels of inflammatory mediators Results: Acu group had significantly lower NRS scores at 24 and 48 h after operation (NRS scores on movement at 24 h after surgery: Acu vs. Control, 3 (2,3) vs. 3 (3,5), Z = −3.393, P < 0.01 and NRS scores on movement at 48 h after surgery: 2 (1,3) vs. 3 (2,5), Z = −3.641, P < 0.01), lower number of PCIA attempts and effective rates (mean total pressing numbers: 4(2,8) vs. 6(3,19), Z = −1.994, P = 0.046 and mean effective pressing numbers: 3(2,8) vs. 6(3,16), Z = −2.116, P = 0.034). The Acu group had significantly reduced IL-1 (14.52 ± 3.84 vs. 16.36 ± 3.30, mean difference (MD): − 1.85, 95% confidence interval (CI): − 3.46, − 0.23, P = 0.026), HIF-1α (10.15 ± 1.71 vs. 10.96 ± 1.73, MD: −0.81, 95% CI: −1.59, −0.04, P = 0.040) and the incidence of pulmonary complications after surgery. Conclusion: Press needles are a non-invasive and feasible adjunctive intervention for postoperative analgesic management in patients undergoing thoracoscopic pulmonary resection