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Structural optimization of rapidly separating microneedles for efficient drug delivery
Dan Dan Zhu,Bo Zhi Chen,Meng Chan He,Xin Dong Guo 한국공업화학회 2017 Journal of Industrial and Engineering Chemistry Vol.51 No.-
Rapidly separating microneedles (RSMNs) arose as an improvement of traditional MNs for the specialseparable structures. The aim of this study was to investigate various structural parameters contributedto the delivery performance of RSMNs. The experimental results indicated that the optimized RSMNswith 500 mm-long solid PLA MNs, 250 mm-long overlap and 500 mm-long dissolving MNs delivered over95% of drugs within 30 s. In the in vivo diabetic mice treatment, insulin loaded optimized RSMNs reachedapproximately the same therapeutic effect on lowering the glucose in blood as injection, significantlybetter than traditional MNs.
A Network Intrusion Detection Model Based on K-means Algorithm and Information Entropy
Gao Meng,Li Dan,Wang Ni-hong,Liu Li-chen 보안공학연구지원센터 2014 International Journal of Security and Its Applicat Vol.8 No.6
Many factors could influence the clustering performance of K-means algorithm, selection of initial cluster centers was an important one, traditional method had a certain degree of randomness in dealing with this problem, for this purpose, information entropy was introduced into the process of cluster centers selection, and a fusion algorithm combining with information entropy and K-means algorithm was proposed, in which, information entropy value was used to measure the similarity degree among records, the least similar record would be regarded as a cluster center. In addition, a network intrusion detection model was built, it could make cluster centers change dynamically along with the network changes, and the model could real-time update the cluster centers according to actual needs. Experiment results show that the improved algorithm proposed is better than the traditional K-means algorithm in detection ratio and false alarm ratio, and the network intrusion detection model is proved to be feasible.
Meng, Dong,Sun, Dan,Zhong, Chengmei,Liu, Tao,Fan, Bingbing,Huo, Lijun,Li, Yan,Jiang, Wei,Choi, Hyosung,Kim, Taehyo,Kim, Jin Young,Sun, Yanming,Wang, Zhaohui,Heeger, Alan J. American Chemical Society 2016 JOURNAL OF THE AMERICAN CHEMICAL SOCIETY - Vol.138 No.1
<P>Non-fullerene acceptors have recently attracted tremendous interest because of their potential as alternatives to fullerene derivatives in bulk heterojunction organic solar cells. However, the power conversion efficiencies (PCEs) have lagged far behind those of the polymer/fullerene system, mainly because of the low fill factor (FF) and photocurrent. Here we report a novel perylene bisimide (PBI) acceptor, SdiPBI-Se, in which selenium atoms were introduced into the perylene core. With a well-established wide-band-gap polymer (PDBT-T1) as the donor, a high efficiency of 8.4% with an unprecedented high FF of 70.2% is achieved for solution-processed non-fullerene organic solar cells. Efficient photon absorption, high and balanced charge carrier mobility, and ultrafast charge generation processes in PDBT-T1:SdiPBI-Se films account for the high photovoltaic performance. Our results suggest that non-fullerene acceptors have enormous potential to rival or even surpass the performance of their fullerene counterparts.</P>
Key role of peptidoglycan on acrylamide binding by lactic acid bacteria
Dan Zhang,Wei Liu,Liang Li,Hong-Yu Zhao,Hong-Yang Sun,Ming-Han Meng,Sheng Zhang,Mei-Li Shao 한국식품과학회 2017 Food Science and Biotechnology Vol.26 No.1
The primary purpose of this study was to analyze the ability of four peptidoglycan (PGN) from different lactic acid bacteria to bind acrylamide (AA) and to identify the binding mechanism. In this study, to clarify the possible binding interactions among AA and components of PGN, chemical components, surface structure, amino acids component, and functional groups of peptidoglycans were studied. It was found that PGN from Lactobacillus plantarum 1.0065 had the highest ability to bind AA with 87%. Furthermore, a significant positive relation was found between the carbohydrate content of PGN and percentage of bind AA, and the content of four specific amino acids of PGN and AA binding ability were also positive correlated. Thereinto, alanine of PGN had a significant impact on AA binding among four amino acids. Additionally, the C–O (carboxyl, polysaccharides, and arene), C=O amide, and N–H amines groups of PGN were involved in AA binding.
Xinya Meng,Zheng Wang,Song Lin He,Liyun Shi,Yinglong Song,Xueyuan Lou,Dan He 한국원예학회 2019 원예과학기술지 Vol.37 No.4
Light is one of the most important environmental factors influencing plant growth and development. Light-emitting diodes (LEDs) are are a promising alternative to conventional light sources for planttissue cultures. Combined red (R) and blue (B) LEDs are suitable for the production of many plantspecies. However, few studies have examined the effects of different R:B ratios on Gerberajamesonii under controlled conditions. G. jamesonii plantlets were grown in controlled conditionsunder different ratios of discreet and blue light wavelengths provided by programmable LEDs. Theeffects of the different LED treatments on various morphological indices, photosynthetic parameters,soluble sugar and protein contents, and antioxidant enzyme activities were analyzed. Growth undermonochromatic red light resulted in the tallest plantlets and longest stomata, and most promotedsoluble content and intercellular CO2 concentration (Ci). Growth under monochromatic blue lightpromoted the highest levels of soluble protein, chlorophyll a (chlorophyll a (Chl a), and chlorophyllb (chlorophyll b (Chl b). An R:B ratio of 6:4 was the ideal LED treatment for enhancing leaf length,root length, and peroxidase activity. Growth under R:B = 7:3 promoted the number of leaves, leafwidth, number of roots, superoxide dismutase, and catalase activities, chlorophyll synthesis, and theaccumulation of Chl a and Chl b and led to the highest fluorescence parameters. With the exceptionof three physiological indicators, other indicators growth under R:B = 7:3 were better than underother tested ratios, implying that R:B = 7:3 represents the ideal LED treatment for improving G. jamesonii growth and photosynthetic activities under controlled conditions.
You‑dan Dong,Liang Gao,Feng‑juan Wu,Ren Lin,Yuan Meng,Li‑hong Jia,Xiao‑fei Wang 대한독성 유전단백체 학회 2020 Molecular & cellular toxicology Vol.16 No.2
Background Bisphenol A (BPA) is an environmental estrogen widely exposed to human beings, and there are more studies on its reproductive toxicity, endocrine disruption and neurobehavioral disorders. Recent few studies have found that BPA has immunotoxicity, and its mechanism is not clear. Therefore, the effects of BPA on immune system have attracted extensive attention. The aim of this study was to investigate the effect and mechanism of perinatal exposure to BPA on regulatory T cells (Treg) and Th17 cells in female offspring mice. Methods Twenty-one pregnant C57BL/6 mice were randomly divided into three groups: a control group, low-dose BPA (0.2 μg/mL) and high-dose BPA (2.0 μg/mL) exposure group. All received BPA exposure via drinking water from gestational day 6 to the end of lactation. Female offspring were fed a normal diet and drinking water for 1 month. The percentages of Treg and Th17 cells, the levels of Foxp3 and RORγt protein and IL-17 and TGF-β from spleen tissue or blood were measured in female offspring. Results The percentage of Treg cells and levels of Foxp3 protein decreased, while the percentage of Th17 cells and levels of RORγt protein increased, which showed a dose–effect relationship. The levels of serum TGF-β were significantly lower and the levels of serum IL-17 were statistically higher in BPA-exposed female offspring compared with controls (P < 0.05 or P < 0.01). But there were no statistical difference in the levels of serum TGF-β and IL-17 between 0.2 μg/mL and 2.0 μg/ mL BPA groups (P > 0.05). Conclusion BPA exposure during pregnancy and lactation could cause abnormal differentiation and function of Treg and Th17 cells in female offspring mice, which was associated with down-regulated Foxp3 and up-regulated RORγt protein, respectively. Our findings indicated that BPA exposure during early development may play an important role in the development of autoimmune diseases later.