以菜籽分离蛋白为原料，在琥珀酸酐酰化改性的基础上采用3种多糖（羧甲基壳聚糖、氧化葡聚糖、羧甲基纤维素）协同TG酶催化对菜籽蛋白进行了糖基化修饰，再通过热诱导制备改性菜籽蛋白凝胶，研究不同多糖与酰化协同修饰对菜籽蛋白凝胶结构和功能性质的影响。结果表明：糖基化-酰化修饰菜籽蛋白，形成了致密且均匀的凝胶网络结构，使其溶胀性能、流变性能和凝胶强度均得到了改善。其中，羧甲基壳聚糖协同琥珀酸酐酰化修饰菜籽蛋白，获得的菜籽蛋白凝胶硬度最大，为92.337 g，弹性较好，为0.960，溶胀率为8.432 g/g；其表面疏水性最高，为1 305.1，自由巯基含量最低，为1.73 μmol/g；其内部形成的网络结构整齐，呈规则且密集的圆形。糖基化-酰化修饰后，菜籽蛋白功能性质的改变可能与其二级结构中α-螺旋、β-折叠、β-转角和无规则卷曲含量均有不同程度的变化有关。 Based on the acylation modification with succinic anhydride, rapeseed protein isolate was modified with three kinds of polysaccharides(carboxymethyl chitosan, oxidized dextran, carboxymethyl cellulose) and TG enzyme. Modified rapeseed protein gel was prepared by heat induction to study the effects of different polysaccharides and acylation modification on the structure and functional properties of rapeseed protein gel. The results showed that glycosylation-acylation modified rapeseed protein to form a compact and uniform gel network structure, which improved its swelling properties, rheological properties and gel strength. When the rapeseed protein was modified with carboxymethyl chitosan and succinic anhydride, the hardness of rapeseed protein gel was the best (92.337 g), elasticity was better (0.960), the swelling rate was 8.432 g/g, the surface hydrophobic was the highest(1 305.1), the free sulfhydryl group content was the lowest (1.73 μmol/g), and the internal network formed uniform structure with regular and dense circle. After the modification of glycosylation-acylation, the change of functional properties of rapesecd protein was possibly related to the changes of the contents of α -helix, β -folding, β -turning and random coil.
Three-dimensional route planning for large grids Brener, Nathan E; Iyengar, S Sitharama; Looney, Hua C ...
Journal of the Indian Institute of Science,
05/2004, Letnik:
84, Številka:
3-4
Journal Article
Recenzirano
Route planning has been widely used for civilian and military purposes. Three-dimensional (3D) route planning is especially useful for the navigation of autonomous underwater vehicles (AUVs) and ...combat helicopters. 3D route planning is a very challenging problem because the large grids that are typically required can cause a prohibitive computational burden if one does not use an efficient search algorithm. Several search algorithms have been proposed to perform 3D route planning, including case-based reasoning and genetic algorithms. We have developed a 3D route planner, called 3DPLAN, which employs the A* algorithm to find optimum paths. The A* algorithm has a major advantage compared to other search methods because it is guaranteed to give the optimum path. In spite of this significant advantage, no one has previously used A* in 3D searches as far as we are aware. The probable reason for this is the belief that the computational cost of using A* for 3D route planning would be prohibitive. In this paper we show that, on the contrary, it is quite feasible to use A* for 3D searches if one employs the new mobility and threat heuristics that we have developed. These new heuristics substantially speed up the A* algorithm so that the run times are quite reasonable for the large grids that are typical of 3D searches.
Wall-slip phenomena during small amplitude oscillatory measurements is often observed during experiments on non-Newtonian liquids. In the present thesis we developed a theoretical method to look at ...the wall slip for non-Newtonian liquids: The models examined will be Maxwell, Kelvin-Voigt and the Jeffrey models and are used to construct mathematical model for wall slip phenomena observed in the experimental data found in the literature. And also formulate models for the wall slip for Newtonian fluids and non-Newtonian fluid. The importance of material parameters in the various models is also demonstrated by numerical simulation of non-Newtonian flow in a simple geometry.
The fluctuation and intermission of large‐scale wind power integration is a serious threat to the stability and security of the power system. Accurate prediction of wind power is of great ...significance to the safety of wind power grid connection. This study proposes a novel spatio‐temporal correlation model (STCM) for ultra‐short‐term wind power prediction based on convolutional neural networks‐long short‐term memory (CNN‐LSTM). The original meteorological factors at multi‐historical time points of different sites throughout the target wind farm can be reconstructed into the input window of the model, and thus a new data reconstruction method is represented. CNN is used to extract the spatial correlation feature vectors of meteorological factors of different sites and the temporal correlation vectors of the meteorological features in ultra‐short term, which are reconstructed in time series and used as the input data of LSTM. Then, LSTM extracts the temporal feature relationship between the historical time points for multi‐step wind power forecasting. The STCM based on CNN‐LSTM proposed in this study is suitable for wind farms that can collect meteorological factors at different locations. Taking the measured meteorological factors and wind power dataset of a wind farm in China as an example, four evaluation metrics of the CNN‐LSTM model, CNN and LSTM individually used for multi‐step wind power prediction, are obtained. The results show that the proposed STCM based on CNN‐LSTM has better spatial and temporal characteristics extraction ability than the traditional structure model and can forecast the power of wind farm more accurately.
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We use activated carbon (AC) and titanium oxide (TiO2) nanomaterials as the additives to prepare four polyvinylidene fluoride (PVDF) based ultrafiltration membranes by nonsolvent ...induced phase separation. The surface properties (pore size, porosity, hydrophilicity and roughness) of the membranes are characterized by scanning electron microscopy, water contact angle measurement, and atomic force microscopy. The chemical properties of the membranes are evaluated by Fourier transform infrared spectroscopy with attenuated total reflection and X-ray diffraction. All these additives can improve the surface hydrophilicity and water permeation flux of the membrane. However, the addition of TiO2 nanoparticles (20–30 nm) results in larger surface porosities and pore sizes, which causes more severe membrane fouling compared with the neat PVDF membrane. The PVDF-AC membrane exhibits excellent fouling resistance. Particularly, the irreversible fouling after blending AC into PVDF reduces dramatically from 40% to 25%. The antifouling performance of the PVDF-AC membrane may result from the improved hydrophilicity and the favorable surface and structure properties of the membrane. To the best of our knowledge, this is the first demonstration of the antifouling function of AC in membrane preparation. This study suggests that AC could be a new type of nanomaterial for developing antifouling membranes.
Coal mine disaster early warning based on multimedia big data is an effective measure to avoid accidents such as gas, water, fire and rock burst, and to reduce casualties and property losses. Through ...the analysis of various data of coal mine, the analysis model is established and the correlation analysis is carried out, so as to better carry out risk early warning and prediction analysis, provide early warning and prediction information for supervision and law enforcement, and improve the scientific nature of supervision and law enforcement and the ability of early warning and prediction for accident risk. Aiming at the analysis and prediction of large mine accident data, the modeling and Simulation of large mine accident data analysis and prediction based on decision tree-BP neural network are carried out. The report of coal mine gas accident is analyzed by using the method of multimedia large data mining, and the key factors of coal mine gas accident are identified. Therefore, we can focus on strengthening the monitoring of accident factors, reduce the risk of accidents from the source, and improve the safety management level of coal mines.
Combination therapy based on different mechanisms of cell death has shown promise in tumor therapy. However, when different modalities are integrated, the maximum synergy of the therapeutic effects ...is often lacking in the design. Herein, we report a cancer theranostic nanomedicine formula developed by considering the mechanisms of action of ferroptosis and the photothermal effect in combination therapy. The croconaine molecule was encapsulated as both a photothermal converter and an iron‐chelating agent with BSA, thus leading to biocompatible and stable Cro‐Fe@BSA nanoparticles (NPs). The Cro‐Fe@BSA NPs in the tumor milieu showed an activated photothermal effect leading to enhanced radical formation owing to the temperature‐dependent Fenton reaction kinetics, while radical formation during ferroptosis in turn prevented the heat‐induced formation of heat shock proteins and thus the self‐protection mechanism of cancer cells in response to heat. The activatable photoacoustic and magnetic resonance imaging performance of the Cro‐Fe@BSA NPs also enabled safe and reliable cancer theranostics.
A cancer theranostic nanomedicine (denoted as Cro‐Fe@BSA) was designed by attentively considering the mechanisms of action of ferroptosis and the photothermal effect to promote maximum synergy of the therapeutic effects in combination therapy. The pH/GSH‐responsive therapeutic and imaging characteristics of the Cro‐Fe@BSA nanoparticles in the tumor enabled safe and reliable cancer theranostics.
This paper proposes an improved 3D-Vector Field Histogram (3D-VFH) algorithm for autonomous flight and local obstacle avoidance of multi-rotor unmanned aerial vehicles (UAVs) in a confined ...environment. Firstly, the method employs a target point coordinate system based on polar coordinates to convert the point cloud data, considering that long-range point cloud information has no effect on local obstacle avoidance by UAVs. This enables UAVs to effectively utilize obstacle information for obstacle avoidance and improves the real-time performance of the algorithm. Secondly, a sliding window algorithm is used to estimate the optimal flight path of the UAV and implement obstacle avoidance control, thereby maintaining the attitude stability of the UAV during obstacle avoidance flight. Finally, experimental analysis is conducted, and the results show that the UAV has good attitude stability during obstacle avoidance flight, can autonomously follow the expected trajectory, and can avoid dynamic obstacles, achieving precise obstacle avoidance.
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