ABSTRACT Through a long-term micro-area positioning experiment (2006-2017), the precise fertilization locations of spring maize (Zea mays L.) in Jilin, China, were investigated using an embedded cement bucket pot. The effects of different fertilization placements and additional application of organic manure on maize yield, biomass, grain nutrient uptake, and soil fertility were examined. Six treatments were designed: base fertilizer + topdressing shallow application (BF1TD1); base fertilizer deep + topdressing shallow application (BF2TD1); base fertilizer + topdressing deep application (BF1TD2); base fertilizer deep + topdressing deep application (BF2TD2); base fertilizer + topdressing + organic manure shallow application (BF1TD1 + OS); and base fertilizer + topdressing shallow application + organic manure deep application (BF1TD1 + OD). After 12 years of continuous experimentation, the findings revealed that BF2TD2, BF1TD1 + OS, and BF1TD1 + OD exhibited 10.59 %, 25.17 %, and 29.34 % higher average yields than BF1TD1, respectively. Deep topdressing was more beneficial in increasing maize yield and nutrient accumulation, and additionally, increasing the use of organic fertilizer enhanced plant biomass and nutrient uptake. Over the 12 years considered, the soil organic matter in the 0-20 cm and 20-40 cm layers increased by 45.96 % and 80.61 %, respectively, and the soil pH increased from 0.38 to 0.48. In general, the deep application of organic manure was more beneficial for soil retention as it can increase soil fertility in the 0-40 cm layer. Considering the high yield and nutrient absorption and utilization of maize, technical advancement for soil fertilizer in whole-field tillage layers was crucial. longterm long term microarea micro area 20062017, 20062017 2006 2017 , (2006-2017) Zea L. L Jilin China pot uptake examined designed BFTD BF TD (BF1TD1) BF2TD1 (BF2TD1) BF1TD2 (BF1TD2) BF2TD2 (BF2TD2) (BF1TD OS OS) OD. . OD) 1 experimentation BF1TD 1059 10 59 10.5 2517 25 17 25.1 2934 29 34 29.3 respectively accumulation additionally considered 020 0 20 0-2 2040 40 20-4 4596 45 96 45.9 8061 80 61 80.6 038 38 0.3 048 48 0.48 general 040 0-4 layer wholefield whole field crucial 2006201 200 201 (2006-2017 BF2TD (BF2TD1 (BF1TD2 (BF2TD2 105 5 10. 251 2 25. 293 3 29. 02 0- 204 4 20- 459 9 45. 806 8 6 80. 03 0. 04 0.4 200620 (2006-201 (BF2TD 20062 (2006-20 (2006-2 (2006- (2006 (200 (20 (2 (

Abstract The study investigated that clinic significance and molecular mechanism of Plin5 in spinal cord injury (SCI). Serum levels of Plin5 was down-regulated and there is a negative correlation between Plin5 and IL-1β levels in patients with SCI,. Human Plin5 protein could reduce inflammation, and prevented spinal cord injury in rat model of SCI. Over-expression of Plin5 reduced inflammation divisors via activation of SIRT1 and suppression of NLRP3 in vitro model of SCI; down-regulation of Plin5 promoted inflammation divisors via inactivation of SIRT1 and induction of NLRP3 in vitro model of SCI. SIRT1 is important targets of Plin5 in inflammation divisors of SCI. The inhibition of SIRT1 reduced the effects of Plin5 on inflammation divisors of SCI. The activation of NLRP3 also reduced the effects of Plin5 on inflammation divisors of SCI. We concluded that clinic Serum levels of Plin5 is therapeutic target of SCI and Plin5 reduced inflammation in SCI via SIRT1 dependent suppression of NLRP3 Inflammasome.

Abstract Support vector machine (SVM) is shown to have better performance in catch per unit of effort (CPUE) standardization than other methods. The SVM performance highly relates to its parameters selection and has not been discussed in CPUE standardization. Analyzing the influence of parameter selection on SVM performance for CPUE standardization could improve model construction and performance, and thus provide useful information to stock assessment and management. We applied SVM to standardize longline catch per unit fishing effort of fishery data for bigeye tuna (Thunnus obesus) in the tropical fishing area of Atlantic Ocean and evaluated three parameters optimization methods: a Grid Search method, and two improved hybrid algorithms, namely SVMs in combination with the particle swarm optimization (PSO-SVM), and genetic algorithms (GA-SVM), in order to increase the strength of SVM. The mean absolute error (MAE), mean square error (MSE), three types of correlation coefficients and the normalized mean square error (NMSE) were computed to compare the algorithm performances. The PSO-SVM and GA-SVM algorithms had particularly high performances of indicative values in the training data and dataset, and the performances of PSO-SVM were marginally better than GA-SVM. The Grid search algorithm had best performances of indicative values in testing data. In general, PSO was appropriate to optimize the SVM parameters in CPUE standardization. The standardized CPUE was unstable and low from 2007 to 2011, increased during 2011-2013, then decreased from 2015 to 2017. The abundance index was lower compared with before 2000 and showed a decreasing trend in recent years.