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Objective: To investigate the influence of nerve block combined with general anesthesia on the cognitive function and postoperative pain of patients undergoing knee joint replacement and analyze the risk factors of postoperative cognitive dysfunction. Methods: A retrospective analysis was conducted on 104 elderly patients undergoing knee joint replacement in our hospital between January 2018 and January 2021. The control group (n=50) received laryngeal mask anesthesia, while the observation group (n=54) received ultrasound-guided nerve block combined with laryngeal mask anesthesia. The visual analogue scale (VAS) was adopted for scoring the pain intensity of both groups, and the Mini-Mental State Examination (MMSE) was used for evaluating changes in cognitive function before and after operation. The self-rating anxiety scale (SAS) and self-rating depression scale (SDS) were adopted for scoring patientsbefore and after operation. Additionally, the time to spontaneous breathing recovery, time to wake up, time to open eyes when ordered, and extubation time of the two groups were recorded. The changes in serum IL-6, cortisol (Cor), and IL-10 before and after operation were compared. The two groups were compared in the dosage of used analgesic drugs, the first getting out-of-bed time, treatment expense, and hospitalization time. The correlation between VAS score and IL-6, Cor and IL-10 before and after treatment was analyzed. The adverse reactions of the two groups were also compared. Logistic regression was used to analyze risk factors for cognitive dysfunction. Results: After operation, the observation group experienced shorter spontaneous breathing recovery time, time to wake up, time to open eyes when ordered, and extubation time, than the control group (P0.05) and lower SAS and SDS scores than the control group (P0.05) and the incidence of adverse reactions (P>0.05). Age and anesthesia scheme were risk factors for postoperative cognitive dysfunction. Conclusion: Nerve block combined with general anesthesia can effectively improve the cognitive function and analgesic effect of elderly patients undergoing knee joint replacement, and accelerate recovery time, without increasing f adverse reactions, and can also accelerate recovery of their cognitive function.

Objective: This study was designed to explore the effects of cross electro-nape-acupuncture (CENA) treatment on the recovery of consciousness and tracheotomy tube sealing in patients with serious cerebral hemorrhage (SCH). Methods: A total of 60 patients with SCH admitted to the Intensive Care Unit of the South Hospital of the Second Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine from November 2020 to June 2021 were selected and randomized into two groups: the CENA group and a control group, given no acupuncture. Both groups were given the same basic treatment and patients in the CENA group were additionally given CENA treatment. Glasgow coma scale (GCS) scores, mismatch negative wave (MMN) and the cough reflex grading score (TCRGS) were recorded and compared after treatment for four weeks. The time to tracheostomy tube sealing was also recorded. Results: After treatment, the GCS scores and MMN latency values of the two groups were significantly improved, with significantly better GCS scores and MMN latency values in the CENA group than in the control group. After treatment, the two groups of TCRGS were reduced, with more significant decreases in the CENA group than in the control group. Conclusion: With CENA, it took less time to achieve recovery of consciousness, improve cough reflex score and shortened the time to tracheal tube cutting and sealing in patients with SCH.

Xiaoqi Wang1 ,* Wenxing Mao2 ,* Zhi Wang3 ,* Xinrui Li,1 Yaokun Xiong,4 Hongjin Lu,1 Xiuzhen Wang,1 Haoyuan Yin,1 Xiang Cao,1 Hongliang Xin1 1Department of Pharmaceutics and Key Laboratory of Cardiovascular & Cerebrovascular Medicine, School of Pharmacy, Nanjing Medical University, Nanjing 211166, People’s Republic of China; 2Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, People’s Republic of China; 3Department of Pharmacy, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, People’s Republic of China; 4School of Pharmacy, Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, People’s Republic of China*These authors contributed equally to this workCorrespondence: Hongliang Xin Fax +86 25 86868467; +86 25 86868477Email xhl@njmu.edu.cnPurpose: Currently, the treatment of brain metastases from non-small cell lung cancer (NSCLC) is rather difficult in the clinic. A combination of small molecule-targeted drug and chemo-drug is a promising therapeutic strategy for the treatment of NSCLC brain metastases. But the efficacy of this combination therapy is not satisfactory due to the blood–brain barrier (BBB). Therefore, it is urgent to develop a drug delivery system to enhance the synergistic therapeutic effects of small molecule–targeted drug and chemo-drug for the treatment of NSCLC brain metastases.Methods: T7 peptide installed and osimertinib (AZD9291) loaded intracellular glutathione (GSH) responsive doxorubicin prodrug self-assembly nanocarriers (T7-DSNPs/9291) have been developed as a targeted co-delivery system to enhance the combined therapeutic effect on brain metastases from NSCLC. In vitro cell experiments, including intracellular uptake assay, in vitro BBB transportation, and MTT assay were used to demonstrate the efficacy of T7-DSNPs/9291 in NSCLC brain metastasis in vitro. Real-time fluorescence imaging analysis, magnetic resonance imaging analysis, and Kaplan–Meier survival curves were used to study the effect of T7-DSNPs/9291 on an animal model in vivo.Results: T7-DSNPs/9291 could significantly enhance BBB penetration of AZD9291 and doxorubicin via transferrin receptor-mediated transcytosis. Moreover, T7-DSNPs/9291 showed significant anti-NSCLC brain metastasis effect and prolonged median survival of an intracranial NSCLC brain metastasis animal model.Conclusion: T7-DSNPs/9291 is a potential drug delivery system for the combined therapy of brain metastasis from NSCLC.Keywords: drug delivery, brain metastasis, AZD9291, redox-responsive, brain targeted delivery system

Channel estimation is an important technology of MB-OFDM-UWB communication. This paper introduces the two basic methods of channel estimation based on pilot, LS and MMSE algorithm. The MMSE algorithm is better in performance than LS but it is very complex in calculation. The LS algorithm has simple calculation but it is sensitive to noise. To reduce the complexity and improve the performance of channel estimation., the channel estimation algorithm using Fourier transform was proposed in this paper. The simulation results show that the proposed algorithm is an effective channel estimation algorithm for MB-OFDM-UWB communication.

This paper analyzed the challenges of data management in army data engineering, such as big data volume, data heterogeneous, high rate of data generation and update, high time requirement of data processing, and widely separated data sources. We discussed the disadvantages of traditional data management technologies to deal with these problems. We also highlighted the key problems of data management in army data engineering including data integration, data analysis, representation of data analysis results, and evaluation of data quality.

In this paper, a modified and facile Gewald reaction triggered by sodium polysulfide in the absence of catalytic base was developed. This approach involves a one-pot ultrasound-irritated aqueous reaction between ketones or aldehydes, malononitrile, and sodium polysulfide, which are converted into the corresponding 2-aminothiophene derivatives in moderate to high yields. In comparison with conventional methods, the prominent features of this sonocatalyzed procedure are experimental simplicity, good functional group tolerance, atom efficiency, and the use of water as a green solvent.

Ultra-wideband signal is suitable for wireless positioning. Energy-based TOA estimation algorithm is a promising approach for low cost and low complexity applications. To improve the accuracy of TOA estimation in multi-path environments, a two step algorithm for energy collection receiver is proposed. The positioning algorithm using the ToA estimation is simulated in the paper.

Six crystalline components were isolated from the lipophilic fraction of Artemisia annua L. They have been identified as four sesquiterpenes, one flavonol and one coumarin. Qinghaosu I and III are new sesquiterpenes. Five main constituents, camphene, iso-artemisia ketone, 1-camphor, β-carophyllene, and β-pinene were identified from the volatile oil of this herb.

Hyperspectral reflectance (350∼2500 nm) data were recorded at two different sites of rice in two experiment fields including two cultivars, and three levels of nitrogen (N) application. Twenty-five Vegetation Indices (VIs) were used to predict the rice agronomic parameters including Leaf Area Index (LAI, m2 green leaf/m2 soil) and Green Leaf Chlorophyll Density (GLCD, mg chlorophyll/m2 soil) by the traditional regression models and Radial Basis Function Neural Network (RBF). RBF emerged as a variant of Artificial Neural Networks (ANNs) in the late 1980’s. A large variety of training algorithms has been tested for training RBF networks. In this study, Original RBF (ORBF), Gradient Descent RBF (GDRBF), and Generalized Regression Neural Network (GRNN) were employed. Results showed that green waveband Normalized Difference Vegetation Index (NDVIgreen) and TCARI/OSAVI have the best prediction power for LAI by exponent model and ORBF respectively, and that TCARI/OSAVI has the best prediction power for GLCD by exponent model and GDRBF. The best performances of RBF are compared with the traditional models, showing that the relationship between VIs and agronomic variables are further improved when RBF is used. Compared with the best traditional models, ORBF using TCARI/OSAVI improves the prediction power for LAI by lowering the Root Mean Square Error (RMSE) for 0.1119, and GDRBF using TCARI/OSAVI improves the prediction power for GLCD by lowering the RMSE for 26.7853. It is concluded that RBF provides a useful exploratory and predictive tool when applied to the sensitive VIs.

Ethylene plays important roles in seed dormancy. As a key enzyme in ethylene biosynthesis, ACC oxidase gene (ACCO) converts 1-aminocyclopropane-1-carboxylic acid (ACC) into ethylene. To study the mechanism underlying peanut seed dormancy, cDNA sequence of the candidate gene was isolated from peanut using RACE technique. As in the situation in Arabidopsis, the ACCO from peanut (AhACCO gene) contained four exons and three introns. Homology comparison analysis showed 68–87 % sequence similarity between AhACCO and ACCO genes of other selected plants.

By means of equivalent circuit of three-phase asynchronous machines the mathematical model for dynamic braking is derived, and the computer simulation program is carried out. The simulated and measured results are in good agreement. The influences of capacitance, resistance and inertia constant on the braking process are discussed, and a method of selecting capacitor and resistance elements is given.