Geochemical Composition Variations and Tectonic Implications of the Baoligaomiao Formation Volcanic Rocks from the Uliastai Continental Margin, Southeast Central Asian Orogenic Belt

The Permo-Carboniferous tectonic evolution in the Uliastai continental margin (UCM), north of the southeast central Asian Orogenic Belt, remains controversial. This work examined the geochemical composition of the felsic volcanic rocks from the lower and upper part of the Baoligaomiao Formation in the UCM. Zircon U-Pb ages reveal that the Baoligaomiao Formation has a long-lived eruption duration, from ca. 285 to 328 Ma. The lower part (ca. 328–310 Ma) of the Baoligaomiao Formation is dominated by clastic and pyroclastic rocks with subordinate intermediate-felsic volcanic rocks, whereas the upper part (ca. 307–285 Ma) mainly consists of felsic volcanic rocks and pyroclastic rocks. Calculations reveal that the felsic volcanic rocks from the lower part have low zircon saturation temperatures (TZr = 747℃–795℃), whereas those from the upper part exhibit high TZr (ca. 793℃–930℃). Zircons from the lower part exhibit high εHf(t) values and 176Lu/177Hf ratios, in contrast to the low εHf(t) values and 176Lu/177Hf ratios of zircons from the upper part. Those petrogeological and geochemical shifts might support the tectonic switch model in the UCM at the end of the Carboniferous, providing new constraints on the Late Carboniferous closure of the Hegenshan Ocean

Myocardial Stunning-Induced Left Ventricular Dyssynchrony On Gated Single-Photon Emission Computed Tomography Myocardial Perfusion Imaging

Objectives Myocardial stunning provides additional nonperfusion markers of coronary artery disease (CAD), especially for severe multivessel CAD. The purpose of this study is to assess the influence of myocardial stunning to the changes of left ventricular mechanical dyssynchrony (LVMD) parameters between stress and rest gated single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI). Patients and methods A total of 113 consecutive patients (88 males and 25 females) who had undergone both stress and rest 99mTc-sestamibi gated SPECT MPI were retrospectively enrolled. Suspected or known patients with CAD were included if they had exercise stress MPI and moderate to severe myocardial ischemia. Segmental scores were summed for the three main coronary arteries according to standard myocardial perfusion territories, and then regional perfusion, wall motion, and wall thickening scores were measured. Myocardial stunning was defined as both ischemia and wall dysfunction within the same coronary artery territory. Patients were divided into the stunning group (n=58) and nonstunning group (n=55). Results There was no significant difference of LVMD parameters between stress and rest in the nonstunning group. In the stunning group, phase SD and phase histogram bandwidth of contraction were significantly larger during stress than during rest (15.05±10.70 vs. 13.23±9.01 and 46.07±34.29 vs. 41.02±32.16, PP\u3c0.05). Conclusion Both systolic and diastolic LVMD parameters deteriorate with myocardial stunning. This kind of change may have incremental values to diagnose CAD

Research and Application of a Novel Hybrid Model Based on a Deep Neural Network for Electricity Load Forecasting: A Case Study in Australia

Electricity load forecasting plays an essential role in improving the management efficiency of power generation systems. A large number of load forecasting models aiming at promoting the forecasting effectiveness have been put forward in the past. However, many traditional models have no consideration for the significance of data preprocessing and the constraints of individual forecasting models. Moreover, most of them only focus on the forecasting accuracy but ignore the forecasting stability, resulting in nonoptimal performance in practical applications. This paper presents a novel hybrid model that combines an advanced data preprocessing strategy, a deep neural network, and an avant-garde multi-objective optimization algorithm, overcoming the defects of traditional models and thus improving the forecasting performance effectively. In order to evaluate the validity of the proposed hybrid model, the electricity load data sampled in 30-min intervals from Queensland, Australia are used as a case to study. The experiments show that the new proposed model is obviously superior to all other traditional models. Furthermore, it provides an effective technical forecasting means for smart grid management

Differences in the Content of Protein and Essential Amino Acids between Different Rice Varieties

Evaluation of the protein content is a major indicator of the nutritional quality of rice, and the protein quality of rice is the best among cereal crops. Essential amino acids play an irreplaceable role in human growth, development and health care. Essential amino acid is a key ingredient to measure the nutritional value of rice. Using the experimental rice processed from the rice variety "Yuzhenxiang" sprayed with plant nutrients (patent number: ZL201110103910.9), namely high essential amino acid nutritional rice, combined with five kinds of high quality rice imported by COFCO and homegrown "Wuchang rice", we send the samples of the seven kinds of rice to Hunan Food Testing Center, and adopt HPLC method to test the content of protein and eight kinds of essential amino acids. Three bags of rice are randomly selected for each kind of rice, and each bag is a replication. The test results show that there are highly significant differences in the content of essential amino acids between different kinds of rice (F=246.29**, P=5×10-71), and there are also highly significant differences in the content between different kinds of essential amino acids (F=3937.09**, P=4×10-146). The test results of protein content indicate that there are highly significant differences in the content of protein between different kinds of rice (F=3937.0973.29**, P=5.81×10-11), and the test results of lysine content show that there are highly significant differences in the content of lysine between different kinds of rice (F=3937.0973.29**，P=5.81×10-11)

Research and Application of a Novel Hybrid Model Based on a Deep Neural Network Combined with Fuzzy Time Series for Energy Forecasting

In recent years, although deep learning algorithms have been widely applied to various fields, ranging from translation to time series forecasting, researchers paid limited attention to modelling parameter optimization and the combination of the fuzzy time series. In this paper, a novel hybrid forecasting system, named CFML (complementary ensemble empirical mode decomposition (CEEMD)-fuzzy time series (FTS)-multi-objective grey wolf optimizer (MOGWO)-long short-term memory (LSTM)), is proposed and tested. This model is based on the LSTM model with parameters optimized by MOGWO, before which a fuzzy time series method involving the LEM2 (learning from examples module version two) algorithm is adopted to generate the final input data of the optimized LSTM model. In addition, the CEEMD algorithm is also used to de-noise and decompose the raw data. The CFML model successfully overcomes the nonstationary and irregular features of wind speed data and electrical power load series. Several experimental results covering four wind speed datasets and two electrical power load datasets indicate that our hybrid forecasting system achieves average improvements of 49% and 70% in wind speed and electrical power load, respectively, under the metric MAPE (mean absolute percentage error)

Study on Preparation Technology of Taurine in Rice Peptide Feed

material, the multi-strain solid-state fermentation method was used to study the preparation technology of taurine, and the analysis of variance was employed to determine the optimal process of taurine preparation as follows: fermentation time (72 h); amount of cysteinyl acid (2.5 g), amount of methionine (2.5 g); ratio of Bacillus subtilis YS-45 to yeast S-78 to Aspergillus niger PL-39 (1:2:1). Under the optimal process, the taurine content reached 117.8 mg/g

Effects of Nano-sustained Release Sodium Butyrate on Growth and Intestinal Cell Proliferation of Grass Carps

Taking grass carps with the initial weight of about 20 g as the research object, the basic feeds of grass carps were added with 0.0%, 0.1%, 0.3%, 0.6%, 0.8%, and 1% of nano-sustained release sodium butyrate to prepare 6 types of experimental feeds with equal nitrogen and energy. The effects of different concentrations of nano-sustained release sodium butyrate were surveyed on growth and intestinal cell proliferation of grass carps. The experiment was carried out in cages with 50 carps per cage, and each treatment was repeated 3 times for 60 days. Experimental results indicated that the addition of nano-sustained release sodium butyrate significantly promoted the growth of grass carps and significantly increased the ratio of intestinal villus to crypt depth. When the addition of nano-sustained release sodium butyrate was 0.6%, the weight increase rate, specific growth rate, fullness and intestinal villus height of grass carps were the highest, which was significantly higher than that of the control group (P <0.05). The study results indicated that addition of appropriate amount of nano-sustained release sodium butyrate can promote the growth of grass carps through increasing the intestinal villus height, and the suitable addition dosage was 0.6%

Early Screening of Rice Varieties with High Essential Amino Acids by Aseptic Seedling Method

With 5 rice varieties (Yifeng 3321, Yifeng 3315, Yifeng 3317, Yifeng 45, Yifeng 14-24) as the experimental objects, the aseptic seedling method was used to culture the rice seeds, and the HPLC was used to determine the content of amino acids in aseptic rice seedlings as well as the total content of 8 kinds of essential amino acids and the content of protein. And the content of protein and amino acids in the polished rice of 5 varieties was detected, and the analysis of variance was performed for screening of the varieties containing high essential amino acids. The rice with high essential amino acids could be produced to meet people's rice quality requirements. The analysis of variance indicated that there were significant differences (F=39.262, p=0.01) in the content of essential amino acids among 5 kinds of rice varieties. By the Duncan's multiple comparison, the differences among rice varieties were calculated to obtain screening results. The aseptic seedlings: Yifeng 3321 (7.268), Yifeng 3315 (6.395), Yifeng 3317 (5.698), Yifeng 45 (5.567), Yifeng 14-24 (5.190). Rice: Yifeng 3321 (2.998), Yifeng 14-24 (2.627), Yifeng 3317 (2.611), Yifeng 3315 (2.503), Yifeng 45 (2.281). Based on the estimated human daily requirement of essential amino acids and amino acids requirement pattern, it was found that the polished rice of 5 varieties was up to standard. The variety with the highest content of essential amino acids was Yifeng 3317 (3830 mg/100g), followed by Yifeng 3321 (3770 mg/100 g). The results showed that the high quality rice variety in this experiment was Yifeng 3321

Distribution and influencing factors of soil selenium and iodine in Limushan-Wanling, Qiongzhong area

Qiongzhong Limushan-Wanling area is located in the middle of Hainan Island, where has an abundance of selenium-rich and iodine-rich soil resources.The distribution characteristics of Se and I contents were analyzed based on the analysis results of soil samples in the topsoil (0-20 cm), middle-layer-soil(80-100 cm), and deep-soil (180-200 cm) of the study area.The correlation characteristics of Se and I in soil and their relationship with elevation potentially indicate that the input of rainfall to soil Se and I is a key factor leading to the enrichment of Se and I.By analyzing the correlation and change law between the contents of Se, I and the contents of pH, soil organic matter, Al2O3 and Fe2O3 in top, middle and deep layer soil, the enrichment and migration of Se and I in the vertical section of soil in the study area was summarized.These results can provide scientific basis for the efficient use of local high-quality land resources and provide new evidence for the study of soil Se source and migration

Left ventricular systolic and diastolic dyssynchrony to improve cardiac resynchronization therapy response in heart failure patients with dilated cardiomyopathy.

BACKGROUND: The systolic and diastolic dyssynchrony is physiologically related, but measure different left ventricular mechanisms. Left ventricular systolic mechanical dyssynchrony (systolic LVMD) has shown significant clinical values in improving cardiac resynchronization therapy (CRT) response in the heart failure patients with dilated cardiomyopathy (DCM). Our recent study demonstrated that LV diastolic dyssynchrony (diastolic LVMD) parameters have important prognostic values for DCM patients. However, there are a limited number of studies about the clinical value of diastolic LVMD for CRT. This study aims to explore the predictive values of both systolic LVMD and diastolic LVMD for CRT in DCM patients. METHODS: Eighty-four consecutive CRT patients with both DCM and complete left bundle branch block (CLBBB) who received gated resting SPECT MPI at baseline were included in the present study. The phase analysis technique was applied on resting gated short-axis SPECT MPI images to measure systolic LVMD and diastolic LVMD, characterized by phase standard deviation (PSD) and phase histogram bandwidth (PBW). CRT response was defined as ≥ 5% improvement of LVEF at 6-month follow-up. Variables with P \u3c 0.10 in the univariate analysis were included in the multivariate cox analysis. RESULTS: During the follow-up period, 59.5% (50 of 84) patients were CRT responders. The univariate cox regression analysis showed that at baseline QRS duration, non-sustained ventricular tachycardia (NS-VT), systolic PSD, systolic PBW, diastolic PSD, diastolic PBW, scar burden and LV lead in the scarred myocardium were statistically significantly associated with CRT response. The multivariate cox regression analysis showed that QRS duration, NS-VT, systolic PSD, systolic PBW, diastolic PSD, and diastolic PBW were independent predictive factors for CRT response. Furthermore, the rate of CRT response was 94.4% (17 of 18) in patients whose LV lead was in the segments with both the first three late contraction and the first three late relaxation; by contrast, the rate of CRT response was only 6.7% (1 of 15, P \u3c 0.000) in patients whose LV lead was in the segments with neither the first three late contraction nor the first three late relaxation. CONCLUSION: Both systolic LVMD and diastolic LVMD from gated SPECT MPI have important predictive values for CRT response in DCM patients. Pacing at LV segments with both late contraction and late relaxation has potential to increase the CRT response