摘要:
According to the methodical examination of the physicochemical, sensory, and antioxidant properties of flavored yogurts which fortified with different amounts of Lentinula edodes stipe (LES), we found that the LES was beneficial to improve some physicochemical (pH, viable lactic acid bacteria density, and syneresis) and sensory properties (fermented odor and taste quality), and the antioxidant activity (ABTS and DPPH radical scavenging activity) of the plain yogurt, which has the potential to be used in functional yogurt. The results above were also helpful for the rational utilization of LES toward value‐added products. Abstract The Lentinula edodes stipe (LES), a by‐product of L. edodes fruiting body processing, is rich in dietary fiber, protein, and polysaccharides, which can be served as the functional ingredient in dairy products. In this study, stirred yogurts fortified with 1%, 2%, and 3% LES were prepared, and the effects of LES on the changes in color, pH, titratable acidity (TA), viable lactic acid bacteria (LAB) cells, syneresis, viscosity, texture, and antioxidant activity of the flavored yogurt were monitored at the beginning and the end of storage. The LES decreased the lightness, increased the red–green color values and yellow–blue color values, decreased the pH values, and increased the contents of TA, the viable LAB cells, and the antioxidant activity of yogurt samples in a dose‐dependent manner. The addition of LES showed double‐edged effects on the texture of yogurt, which significantly reduced firmness and viscosity but decreased the syneresis. Compared with plain yogurt, the 2% LES‐fortified yogurt exhibited similar index values of texture parameters and higher scores of the appearance, fermented odor, taste quality, and overall acceptance, suggesting that this might be the optimal dose for industrial production. After cold storage for 28 days, pH values of all yogurt samples further decreased with increasing of TA. Interestingly, syneresis of LES‐fortified yogurt decreased and the viable LAB cells and antioxidant activity of 3% LES‐fortified yogurt slightly decreased. Therefore, LES is beneficial to improve physicochemical, sensory, and antioxidant properties of yogurt, which has the potential to be used in functional dairy products.
摘要:
In this study, two hybrid residual deep learning models coupled with physical knowledge are proposed for improving daily transpiration (Ec) estimation. A Hybrid-Physics-Data-Residual Learning (HPDRL) model is constructed by mixing a Hybrid-Physics-Data (HPD) model with a Physics-based Residual Learning (PRL) model. To this purpose, the HPD model is first formed by adding a complementary physical variable (EcPHY), which is generated by a recently presented physics-based Ec model (hereafter "BTA-& psi;"), to a deep learning (DL) model along with driving variables to regress Ec. Then, the PRL model is developed by using the residual learning method to integrate the BTA-& psi; and DL models. Three hybrid models, HPD, PRL, and HPDRL, are used to estimate daily Ec for the three species of trees and compared with two baseline models, the BTA-& psi; and pure DL models. The results show that the PRL and HPDRL models benefit from the integration of the BTA-& psi; and DL models via the residual learning method, and thus effectively improve daily Ec estimation. In contrast, the HPD model, limited by the flawed physics-based BTA-& psi; model, exhibits the weakest estimation skill among all three hybrid models. Moreover, the HPDRL model further exhibits better generalization capability than the PRL and pure DL models. Although both hybrid residual learning models can capture the range between the minimum and maximum observed Ec more completely than the pure DL model, the HPDRL model extrapolates better than the PRL model in unseen scenarios with limited training samples.
通讯机构:
[Yanliang Tan] C;College of Physics and Electronic Engineering , Hengyang Normal University, Hengyang, Hunan Province 421008, China
摘要:
Radon-222 (Rn-222) exhalation rate is vital for estimating radiation risk from many kinds of materials. AlphaGUARD measures the radon concentration based on the ionization chamber principle, which is currently recognized as a reference instrument to measure radon. In China, measurements of radon exhalation rate are performed by AlphaGUARD operated in flow-through mode on a reference device to verify measurement accuracy. These measurements are performed in both open and closed loop. AlphaGUARD can fast rapidly the variation of the radon concentration in the chamber, which is tightly pressed against the surface of the medium to accumulate the exhaled radon. When the model is used to obtain the radon exhalation rate, the radon exhalation rates obtained by nonlinear data fitting on the measured radon concentrations are similar to the reference value of the device. The difference of radon exhalation rate values of six measurements is small.
摘要:
In recent years, carbon-based materials catalyzing peroxymonosulfate (PMS) for green degradation of persistent or-ganic pollutants have attracted increasing attention. However, PMS activation by hydrochar composite (e.g. hydrochar-montomorillonite) has rarely been investigated. Herein, a simple preparation, low-cost and eco-friendly catalyst of hydrochar-montmorillonite composite (HC-Mt) was prepared to firstly catalyze PMS for the degradation of dicamba (DIC). The as-prepared HC-Mt showed a remarkably better catalyzing performance for PMS than pure hydrochar (HC) due to its good physicochemical characteristics and abundant oxygen-containing groups. Further-more, the electron spin resonance (ESR) and quenching tests revealed that active species such as SO4 center dot-, center dot OH and O2 center dot- all participated in the degradation process. DIC sites on C6, Cl 10, and O15 exhibited higher reactivity according to the density functional theory (DFT) calculation, which were easily attacked by active species. The DIC degradation mainly occurred via hydroxyl substitution, decarboxylation, oxidation and ring-cleavage and finally most of the inter-mediates were mineralized into CO2 and H2O. Finally, the phytotoxicity assessment was measured by the germination growth situation of tobacco and mung beans in the presence of DIC (with or without treatment by HC-Mt/PMS). The result showed that HC-Mt/PMS could significantly reduce the phytotoxicity of DIC to crops, suggesting that catalyzing PMS using HC-Mt was environmentally friendly. Therefore, this work did not only provide a novel catalyzing PMS strategy using hydrochar composite for wastewater treatment, but also give a new idea for herbicide phytotoxicity management.
摘要:
Two tricyclohexyltin aryloxyacetates (C1, C2) have been synthesized by the reaction of tricyclohexyltin hydroxide with 1,3-phenylenedioxydiacetic acid (L1) or 3-(N,N'-dicarboxymethyl)aminophenoxyacetic acid (L2), respectively. The structures were characterized by elemental analyses, IR, H-1, C-13 NMR, and X-ray diffraction. The structure of complex C1 has been previously reported, C2 is a novel complex. The results of thermal stability analysis confirmed that the two complexes contain solvent molecules, so they can only exist stably below 70(o)C. The results of herbicidal activity showed that C1 and C2 had moderate growth regulation effects on Alfalfa.
通讯机构:
[Jianbo Liu] D;Department of Child Psychiatry of Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen Institute of Mental Health, Shenzhen Key Laboratory of Mental Health, Shenzhen, China
关键词:
long memory;regime switching;FIEGARCH;MRS-FIEGARCH
摘要:
Recent research suggests that long memory can be caused by regime switching and is easily confused with it. However, if the causes of confusion were properly controlled, they could be distinguished. Motivated by this idea, our study aims to distinguish between the long memory and regime switching of financial volatility. We firstly modeled the long memory and regime switching of volatility using the Fractionally Integrated Exponential GARCH (FIEGARCH) and Markov Regime-Switching EGARCH (MRS-EGARCH) frameworks, respectively, and performed a simulation study on their finite-sample properties when innovations followed a non-normal distribution. Subsequently, we demonstrated the confusion between the FIEGARCH and MRS-EGARCH processes using simulations. A recent study theoretically proved that the time-varying smoothing probability series can induce the presence of significant long memory in the regime-switching process. To control for its effect, the two-stage two-state FIEGARCH and MRS-FIEGARCH frameworks are proposed. The Monte Carlo studies showed that both frameworks can effectively distinguish between the pure FIEGARCH and pure MRS-EGARCH processes. When the MRS-FIEGARCH model was further employed to fit series generated with the MRS-FIEGARCH process, it outperformed the ordinary FIEGARCH model. Finally, an empirical study of NASDAQ index return was conducted to demonstrate that our MRS-FIEGARCH model can provide potentially more reliable long-memory estimates, identify the volatility states and outperform both the FIEGARCH and MRS-EGARCH models.
作者机构:
[Zhu, Xianyou; Fan, Liu] Hengyang Normal Univ, Coll Comp Sci & Technol, Hengyang 421010, Peoples R China.;[Wang, Lei; Fan, Liu] Changsha Univ, Inst Bioinformat Complex Network Big Data, Changsha 410022, Peoples R China.;[Wang, Lei] Changsha Univ, Big Data Innovat & Entrepreneurship Educ Ctr Huna, Changsha 410022, Peoples R China.;[Zhu, Xianyou] Hengyang Normal Univ, Coll Comp Sci & Technol, Hengyang 421010, Peoples R China.;[Wang, Lei] Changsha Univ, Inst Bioinformat Complex Network Big Data, Changsha 410022, Peoples R China.
通讯机构:
[Zhu, XY ; Wang, L ] ;Hengyang Normal Univ, Coll Comp Sci & Technol, Hengyang 421010, Peoples R China.;Changsha Univ, Inst Bioinformat Complex Network Big Data, Changsha 410022, Peoples R China.;Changsha Univ, Big Data Innovat & Entrepreneurship Educ Ctr Huna, Changsha 410022, Peoples R China.
摘要:
Microbes are intimately tied to the occurrence of various diseases that cause serious hazards to human health, and play an essential role in drug discovery, clinical application, and drug quality control. In this manuscript, we put forward a novel prediction model named MDASAE based on a stacked autoencoder (SAE) with multi-head attention mechanism to infer potential microbe-drug associations. In MDASAE, we first constructed three kinds of microbe-related and drug-related similarity matrices based on known microbe-disease-drug associations respectively. And then, we fed two kinds of microbe-related and drug-related similarity matrices respectively into the SAE to learn node attribute features, and introduced a multi-head attention mechanism into the output layer of the SAE to enhance feature extraction. Thereafter, we further adopted the remaining microbe and drug similarity matrices to derive inter-node features by using the Restart Random Walk algorithm. After that, the node attribute features and inter-node features of microbes and drugs would be fused together to predict scores of possible associations between microbes and drugs. Finally, intensive comparison experiments and case studies based on different well-known public databases under 5-fold cross-validation and 10-fold cross-validation respectively, proved that MDASAE can effectively predict the potential microbe-drug associations.
关键词:
Aqueous zinc ion batteries;Zinc anode;Separator modification;Graphite fluoride
摘要:
Aqueous zinc ion batteries (AZIBs) are considered as a promising candidate for large-scale energy storage due to its superior energy density, high specific energy, environmental friendliness and low cost. However, the dendrite growth and side reaction of zinc anode severely hinder its stability and availability. Herein, commercial glass fiber separators are modified by graphite fluoride nanoflakes via vacuum filtration (denoted as GFNs-PVDF@GF) to reinforce Zn metal anode. The GFNs-PVDF@GF separator acts as an efficient ions transport modulator to homogenize Zn2+ transport and suppress SO42− flux due to strong zinc affinity and electronegativity of GFNs, thereby restraining the growth of zinc dendrite and the formation of byproducts. Accordingly, the Zn||Zn symmetric cell harvests a stable and reversible cycling for 1800 h at 1 mA cm−2 and operates at 5 mA cm−2 for over 900 h. The assembled Zn||MnO2 full cells deliver a capacity retention of 92% after 200 cycles at 1 A g−1. Our results provide a simple and effective strategy of improving stability of zinc anode for high-performance AZIBs.
摘要:
We present a method for implementing quantum temperature sensing for extremely low temperatures in a quasi-1D dipolar Bose-Einstein condensate reservoir with a magnetic field-driven impurity atom acting as a quantum sensor. By analyzing the quantum signal-to-noise ratio (QSNR) as a metric for temperature sensing performance, we demonstrate that the presence of an attractive dipolar interaction in the reservoir, which includes the effects of non-Markovian dynamics on the sensor, significantly enhances estimation efficiency. We also investigate the steady-state estimation efficiency for long-encoding times through an analytical expression, which shows that the optimal QSNR depends on the driving magnetic field of the impurity atom. Our method can achieve high-efficiency temperature sensing for any low temperature by tuning the magnetic field. These findings suggest that our approach has potential applications in high-resolution quantum thermometry.
期刊:
Communications in Nonlinear Science and Numerical Simulation,2023年116:106798 ISSN:1007-5704
通讯作者:
Hu, Lijun(hulijun@lsec.cc.ac.cn)
作者机构:
[Hu, Lijun] Hengyang Normal Univ, Sch Math & Stat, Hengyang 421002, Hunan, Peoples R China.;Univ Texas Rio Grande Valley, Sch Math & Stat Sci, Edinburg, TX 78539 USA.
通讯机构:
[Hu, L.] S;School of Mathematics and Statistics, Hunan, China
期刊:
Bulletin of the Malaysian Mathematical Sciences Society,2023年46(4):1-19 ISSN:0126-6705
通讯作者:
Chen, SL
作者机构:
[Chen, Shaolin; Chen, SL] Hengyang Normal Univ, Coll Math & Stat, Hengyang 421002, Hunan, Peoples R China.;[Chen, Shaolin; Chen, SL] Hunan Prov Key Lab Intelligent Informat Proc & App, Hengyang 421002, Hunan, Peoples R China.;[Hamada, Hidetaka] Kyushu Sangyo Univ, Fac Sci & Engn, 3-1 Matsukadai 2 Chome,Higashi Ku, Fukuoka 8138503, Japan.
通讯机构:
[Chen, SL ] H;Hengyang Normal Univ, Coll Math & Stat, Hengyang 421002, Hunan, Peoples R China.;Hunan Prov Key Lab Intelligent Informat Proc & App, Hengyang 421002, Hunan, Peoples R China.
关键词:
Bergman type class;Complex-valued harmonic function;Elliptic mapping;Hardy type space
摘要:
The main purpose of this paper is to discuss Hardy type spaces and Bergman type classes of complex-valued harmonic functions. We first establish a Hardy-Littlewood type theorem on complex-valued harmonic functions. Next, the relationships between the Bergman type classes and the Hardy type spaces of complex-valued harmonic functions or the relationships between the Bergman type classes and the Hardy type spaces of harmonic
$$(K,K')$$
-elliptic mappings will be discussed, where
$$K\ge 1$$
and
$$K'\ge 0$$
are constants.
关键词:
Deformation;Windows;Object detection;Education and training;Image processing;Feature extraction;Cameras;Distortion;Head;Data modeling
摘要:
Retail product detection in fisheye camera capture scenes frequently suffers from excessive object occlusion and deformation, as well as difficulty in distinguishing products with small fine-grained differences, so accurately classifying and localizing products in these images presents a challenge for computer vision. We propose an efficient product detection network called EPformer by fusing a visual transformer and convolutional neural network to reliably detect retail products in fisheye images. We employ a shifted window strategy for feature information interaction across windows to more precisely detect products due to the issue of dense occlusion of products. To address the issue of excessive product deformation brought on by fisheye cameras, we develop a deformation image processing module without explicit correction and embed it into the path aggregation network structure. This enables the model to efficiently capture product geometric changes and conduct feature fusion. To address the issue of differentiating fine-grained products, we design an effective coordinate squeeze-excitation (ECSE) attention module that can capture the fine-grained texture and boundary information differences between individuals in terms of spatial and channel relationships. The inability to differentiate fine-grained products can be solved by training the ECSE module in tandem with the decoupled head. The experimental results demonstrate that EPformer is a potent product detection model with a 4.9% higher mean average precision than the state-of-the-art method (YOLOX) on the fisheye product image dataset. In addition, the EPformer model can effectively detect products in fisheye images on the Jeston Xavier NX embedded device to meet the application requirements in realistic scenarios.
通讯机构:
[Huihuang Zhao] C;College of Computer Science and Technology, Hengyang Normal University, Hengyang 421002, China<&wdkj&>Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang 421002, China
关键词:
VStyclone;Voice clone;Efficient tone extractor;Style synthesizer;Transformer;Vocoder
期刊:
Zeitschrift fur Kristallographie - New Crystal Structures,2023年238(2):305-307 ISSN:1433-7266
作者机构:
[Xiao, Zhenxiu] Hengyang Normal Univ, Nanyue Coll, Hengyang 421008, Hunan, Peoples R China.;[Jiang, Wujiu; Fu, Weiwei] Hengyang Normal Univ, Key Lab Met Organ New Mat, Sch Chem & Mat Sci, Key Lab Funct Met Organ Cpds Hunan Prov,Coll Hunan, Hengyang 421008, Hunan, Peoples R China.;[Deng, Xin] Hengyang Normal Univ, Sch Chem & Mat Sci, Hengyang 421008, Peoples R China.
摘要:
C22H28N2O2, monoclinic, P2(1)/n (no. 14), a = 6.463(3) angstrom, b = 14.889(6) angstrom, c = 10.282(4) angstrom, beta = 95.105(5)degrees , V = 985.5(7) angstrom(3), Z = 2, R-gt(F) = 0.0425, wR(ref)(F-2) = 0.1206, T = 296 (2) K. CCDC no.: 2234957 Table 1 contains crystallographic data and Table 2 contains the list of the atoms including atomic coordinates and displacement parameters.
作者机构:
[He, Quanguo; Zhou, Chuanqin; Chen, Aiting; Tang, Nana; Shi, Shuting; Wei, Yanping; He, QG] Hunan Univ Technol, Sch Life Sci & Chem, Zhuzhou 412007, Peoples R China.;[Deng, Peihong; Deng, PH] Hengyang Normal Univ, Dept Chem & Mat Sci, Key Lab Organometall New Mat, Hunan Prov Key Lab Funct Met Organ Cpds, Hengyang 421008, Peoples R China.
通讯机构:
[Deng, PH ; He, QG ] H;Hunan Univ Technol, Sch Life Sci & Chem, Zhuzhou 412007, Peoples R China.;Hengyang Normal Univ, Dept Chem & Mat Sci, Key Lab Organometall New Mat, Hunan Prov Key Lab Funct Met Organ Cpds, Hengyang 421008, Peoples R China.
关键词:
Dopamine;Electrochemical sensor;Nanomolar level;Reduced graphene oxide;MnS/Co 3 S 4 hybrids
摘要:
An ultrasensitive and selective electrochemical sensor has been constructed for the quantitative assay of dopa-mine (DA) based on hollow tubular manganese-cobalt sulfide (MnS/Co3S4) hybrids embedded on electrochem-ically reduced graphene oxide (ErGO). The MnS/Co3S4 heterostructures were created by two-step ion exchange method, of which Co9S8 with hollow tubular structures was fabricated by solvothermal method using the self-made cobalt chloride carbonate hydroxide (CO(CO3)0.35Cl0.20(OH)1.10) as precursor and sodium disulfide mon-ohydrate as sulfur source and manganese chloride as manganese source. The MnS/Co3S4-ErGO/GCE could exhibit strong catalytic ability for the redox reaction of DA. Under the optimal conditions, the developed sensor exhibits a wide linear response for DA ranging from 6.0 nM to 20.0 & mu;M by second-order derivative linear sweep voltammetry (SDLSV), with a detection limit of 2.0 nM. In addition, the developed method exhibited high sensitivity and selectivity, good reproducibility and low-cost. It is a very promising analytical method for the determination of DA in pharmaceutical and biological samples.
摘要:
Compact Tours (CT) injection is a highly promising technique for the central fueling of future reactor-grade fusion devices since it features extremely high injection velocity and relatively high plasma mass. Recently, a CT injector for the EAST tokamak, EAST-CTI, was developed and platform-tested. In the first round of experiments conducted with low parameter settings, the maximum velocity and mass of the CT plasma were 150 km·s−1 and 90 µg, respectively. However, the parameters obtained by the EAST-CTI were still very low and were far from the requirements of a device such as the EAST that has a strong magnetic field. In the future, we plan to solve the spark problem that the EAST-CTI currently encounters (that mainly hinders the further development of experiments) through engineering methods and use greater power to obtain a more stable and suitable CT plasma for EAST.
期刊:
Zeitschrift fur Kristallographie - New Crystal Structures,2023年238(3):451-453 ISSN:1433-7266
作者机构:
[Zhu, Xiaoming; Deng, Zheyu; Li, Biao; Ou, Jiaqi; Li, Jiahong] Hengyang Normal Univ, Sch Chem & Mat Sci, Hengyang 421008, Hunan, Peoples R China.
摘要:
C22H16O5Pb, orthorhombic, P2(1)2(1)2(1) (no. 19), a = 7.3395(8) angstrom, b = 10.7768(11) angstrom, c = 23.034(3) angstrom, V = 1821.9(3) angstrom(3), Z = 4, R-gt(F) = 0.0327, wR(ref)(F-2) = 0.0735, T = 296(2) K.