Although nuclear magnetic resonance (NMR) spectroscopy is powerful for protein dynamics investigations, the anisotropy of internal motions has been difficult to analyze with NMR. In principle, NMR order parameters for...
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Although nuclear magnetic resonance (NMR) spectroscopy is powerful for protein dynamics investigations, the anisotropy of internal motions has been difficult to analyze with NMR. In principle, NMR order parameters for multiple bond vectors fixed on the same plane can reveal the anisotropy of internal motions. We investigated the anisotropic dynamics of protein asparagine (Asn) and glutamine (Gln) side chain NH2 groups using 2H and 15N NMR relaxation rates. Hindered rotations about the C-N bond causing chemical exchange between the two hydrogens of Asn/Gln NH2 groups are far slower than 2H relaxation. Using the 2H and 15N relaxation data at two magnetic fields, we determined two order parameters and 2H quadrupolar coupling constants for each NH2 group of ubiquitin. Our data clearly illuminate the heterogeneous dynamic properties of the protein side chain NH2 groups with different degrees of the motional anisotropy, which depends strongly on the local environment.
Coarse soil has a poor structure and is susceptible to wind and water erosion, thereby making it difficult to maintain the soil organic carbon (SOC) content. Woody peat (WP) is an organic material that can increase th...
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Coarse soil has a poor structure and is susceptible to wind and water erosion, thereby making it difficult to maintain the soil organic carbon (SOC) content. Woody peat (WP) is an organic material that can increase the SOC content of the soil, while clay materials can rapidly enhance the capacity for soil aggregate formation. In order to explore the synergistic effects of WP and clay materials (bentonite and red clay) on the aggregate structure and hydro-physical properties of coarse soil, as well as the mechanism associated with SOC mineralization (Delta SOC), we conducted an incubation study using lou soil (L0) and loessial soil (H0) with three treatments: addition of WP alone (LW, HW), mixture of WP and bentonite (LWB, HWB), and mixture of WP and red clay (LWR, HWR). The three treatments enhanced the proportion of macroaggregate (> 2 mm) and aggregate stability of the two soils, and optimized the water retention and ventilation performance. The highest aggregate stability of LWB and HWB can be attributed to the positive synergistic effect of WP and bentonite, and bentonite was more effective than red clay due to its crystal structure. The results also showed that the Delta SOC values were significantly lower under LWB and HWB than those under WP addition alone and adding the mixture of WP and red clay (p < 0.05). Moreover, partial least squares path modeling analysis showed that the hydro-physical properties of the two improved soils inhibited SOC mineralization (p > 0.05), whereas particulate organic carbon (POC) content significantly accelerated SOC mineralization (p < 0.01). The synergistic effect of clay materials increased mineral-associated organic carbon (MAOC), which was beneficial to maintain the long-term effectiveness of WP. Overall, our results demonstrated that the synergistic use of WP and bentonite enhanced the aggregate stability and hydro-physical properties of coarse soil and improved SOC storage capacity. These results provide scientific and th
The behavior of resistant starch (RS) in meat matrix depends largely on its type. Hence, the comparative impacts of high amylose corn starch (RS2), retrograded starch (RS3), acetylated starch (RS4) and high amylose-la...
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The behavior of resistant starch (RS) in meat matrix depends largely on its type. Hence, the comparative impacts of high amylose corn starch (RS2), retrograded starch (RS3), acetylated starch (RS4) and high amylose-lauric acid complex (RS5) on water-fat binding capacities, texture, color and microstructure of low-fat meat emulsions were investigated. Four types of RS improved water retention, emulsion stability, textural properties and brightness of low-fat meat emulsions, displaying even better potential than inulin (positive control). Compared with inulin, RS2 similar to RS5 induced the transition from free water to immobilized water, increased storage modulus G ' (by 21.90 %, 38.13 %, 55.73 % and 45.92 %, respectively), hydrophobic interactions (by 36.03 %, 60.84 %, 44.40 % and 48.04 %, respectively), disulfide bonds and beta-sheet, which promoted the formation of tight protein gel networks. Notably, physical or chemical modified RS (RS3, RS4, RS5) displayed preferable and more similar water-fat binding properties, making them more promising for personalized application in low-fat functional meat products.
The management of antibiotic resistance gene (ARG) contamination in soil-plant systems is a critical area of research with significant implications for public health and environmental sustainability. Recently, enginee...
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The management of antibiotic resistance gene (ARG) contamination in soil-plant systems is a critical area of research with significant implications for public health and environmental sustainability. Recently, engineered nanomaterials (ENMs) have been developed to enhance plant growth and address the global food crisis. Studies on the effects of nanomaterials mostly indicate an increase in the spread of antibiotic resistance, while emerging findings reveal the potential of ENMs in mitigating ARG pollution. Unlike existing mechanisms such as adsorption, DNA damage, and microbial disinfection involved in ARG removal, ENMs are specifically modified (e.g., with particular chemical compositions or surface charge adjustment) to inhibit the transfer of ARGs and migration of antibiotic-resistant bacteria. The integration of ENMs with advanced technologies (e.g., CRISPR gene editing) holds great promise for remediating antibiotic resistance in soil-plant systems. Here, we provide an overview of ENM-ARG interactions and propose applications of tailored ENMs to inhibit ARG dissemination during the development of nano-enabled agriculture, addressing major challenges and directions for optimizing the efficacy and safety of ENM-based strategies for mitigating ARG contamination in agriculture.
Current research on rail vehicle system vibrations primarily relies on numerical methods, with vibration transfer functions commonly derived through data fitting. However, the physical mechanisms underlying these vibr...
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Current research on rail vehicle system vibrations primarily relies on numerical methods, with vibration transfer functions commonly derived through data fitting. However, the physical mechanisms underlying these vibrations are not well understood. To clarify the vibration transfer function and its characteristics, four basic input vectors are defined, and an analytical method is proposed. The vibration transfer functions of the vehicle system are solved, and their spatial coherence is analyzed. The results show that there are two spatial scales and four coherent modes in the vehicle system. The track irregularity wavelengths are combined with two spatial scales to alter the proportions of basic input vectors and then show the characteristics of spatial coherence. Four coherent modes are involved in wheel-rail force and primary suspension force;two coherent modes are involved in bogie vertical motion;and their dominant modes vary with the input frequency. On the other hand, the coherent modes involved in the bogie pitching motion and vehicle body motion are single and fixed over the whole range of frequency. This study presents an analytical method for the rapid solution of dynamic responses in vehicle systems and systematically analyzes the coherence behavior of vibration transfer functions with respect to tracking irregularity wavelengths.
Structural health monitoring (SHM) based on artificial neural networks (ANN) has received a lot of attention in recent decades, especially the Bayesian neural network (BNN) approach, which is more robust to noise for ...
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Structural health monitoring (SHM) based on artificial neural networks (ANN) has received a lot of attention in recent decades, especially the Bayesian neural network (BNN) approach, which is more robust to noise for training and generalization. Since building a high-quality BNN architecture suitable for a specific task depends highly on user experience, the existing literature generally studies BNNs with simple single-hidden-layer architectures designed by empirical formulas or very few tailor-made algorithms. Multiple hidden layer BNN (MBNN) has a more complex architecture than single hidden layer BNN (SBNN) and is expected to achieve better generalization performance for complex problems. But the corresponding architectural design problem is much more complex, and there is no previous experience in the literature. To achieve this for MBNN, this paper proposes two feasible algorithms to optimize the number of neurons in each hidden layer simultaneously, where a logarithmic evidence metric is introduced to quantitatively characterize the performance of MBNN for a given multi-hidden-layer architecture. The feasibility and effectiveness of the proposed method are verified by the finite element (FE) model updating of both a planar truss model and a real-life pedestrian bridge. The verification results show that the second algorithm is much more computationally efficient for the optimal design of the MBNN architecture and has the potential for practical application.
作者:
wang, Jia-xiYao, Yuanwang, YingweiNiu, DawenSichuan Univ
West China Hosp Dept Emergency State Key Lab Biotherapy 17 Renmin Nan Rd Chengdu 610041 Peoples R China Sichuan Univ
Sch Chem Engn 17 Renmin Nan Rd Chengdu 610041 Peoples R China Sichuan Univ
West China Hosp Dept Nucl Med Lab Clin Nucl Med Chengdu 610041 Peoples R China
Herein we report a cobalt-catalyzed hydroglycosylation of terminal alkynes, employing bench-stable ortho-iodobiphenyl (oIB) substituted sulfides as glycosyl donors. This reaction occurs with high stereo- and regiosele...
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Herein we report a cobalt-catalyzed hydroglycosylation of terminal alkynes, employing bench-stable ortho-iodobiphenyl (oIB) substituted sulfides as glycosyl donors. This reaction occurs with high stereo- and regioselectivity to afford E-configured vinyl alpha-C-glycosides, a class of compounds nontrivial to access by previous methods. The use of a bis(oxazoline) ligand with bulky side chains is critical for the high selectivities observed. Aryl iodides have not been used previously as surrogates for alkyl (glycosyl) electrophiles in Co-H catalyzed reactions. The transformation features mild reaction conditions, simple reagents, and broad substrate scope. This method can be applied to the derivatization of bioactive compounds and the preparation of naturally occurring products. Mechanistic studies suggest this stereoconvergent process involves glycosyl radicals as key reaction intermediates.
Lowering ship resistance is crucial in the marine sector. While past research has mostly examined drag reduction techniques including changing the structure and implementing microbubble technology, there is still a ne...
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Lowering ship resistance is crucial in the marine sector. While past research has mostly examined drag reduction techniques including changing the structure and implementing microbubble technology, there is still a need to investigate the drag reduction potential of polymer additives in ships. This paper draws inspiration from the natural phenomenon of fish secreting mucus from their skin to reduce drag. The purpose of this study is to study the environmentally friendly water-soluble polymers such as hydroxypropyl methyl cellulose (HPMC) to simulate fish body surface mucus for use in ship drag reduction, and to explore its drag reduction effect and drag reduction mechanism. The drag reduction and rheological testing of solutions containing varying concentrations of HPMC were conducted using a rotating disk device and a rheometer. The drag reduction rate of the HPMC solution exhibited an initial increase followed by a subsequent decline as the concentration increased. The highest observed drag reduction rate was 58% at a concentration of 300 ppm. The HPMC solution exhibited the highest elastic modulus and the biggest thixotropic ring area at a concentration of 300 ppm.
Digital Twin (DT) of a manufacturing system mainly involving materials and machines has been widely explored in the past decades to facilitate the mass customization of modern products. Recently, the new vision of Ind...
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Digital Twin (DT) of a manufacturing system mainly involving materials and machines has been widely explored in the past decades to facilitate the mass customization of modern products. Recently, the new vision of Industry 5.0 has brought human operators back to the core part of work cells. To this end, designing human-centric DT systems is vital for an ergonomic and symbiotic working environment. However, one major challenge is the construction and utilization of high-fidelity digital human models. In the literature, preset universal human avatar models such as skeletons are mostly employed to represent the human operators, which overlooks the individual differences of physical traits. Besides, the fundamental utilization features such as motion tracking and procedure recognition still do not well address the practical issues such as occlusions and incomplete observations. To deal with the challenge, this paper proposes a systematic design framework to quickly and precisely build and utilize the human-centric DT systems. The mesh-based customized human operator models with rendered appearances are first generated within one minute from a short motion video. Then transformer-based deep learning networks are developed to realize the motion-related operator status synchronization in complex conditions. Extensive experiments on multiple real-world human-robot collaborative work cells show the superior performance of the proposed framework over the state-of-the-art.
BaCe_(0.8)Y_(0.2)O_(3)-αceramics exhibit superior conductivity among related ***,the hightemperature sintering makes it difficult to prepare electrochemical devices with a BaCe_(0.8)Y_(0.2)O_(3)-αmultilayer film,and...
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BaCe_(0.8)Y_(0.2)O_(3)-αceramics exhibit superior conductivity among related ***,the hightemperature sintering makes it difficult to prepare electrochemical devices with a BaCe_(0.8)Y_(0.2)O_(3)-αmultilayer film,and very few studies have examined the conductivity and transport properties of unsintered BaCe_(0.8)Y_(0.2)O_(3)-α.In nominally dry conditions,the instability of this material in a watercontaining atmosphere can be minimized,allowing the unsintered BaCe_(0.8)Y_(0.2)O_(3)-αto be applied in some particular test environment as a component of electrochemical ***,the conductivity of unsintered BaCe_(0.8)Y_(0.2)O_(3)-αin dry conditions was measured via AC impedance spectroscopy in the temperature range of 500-800℃.The unsintered BaCe_(0.8)Y_(0.2)O_(3)-αexhibits high conductivity and hydration ability,as well as low proton activation *** addition,it shows high oxygen vacancy and low proton transport numbers at high temperature,limited by its grain *** work provides insights into the conductivity and proton transport of unsintered BaCe_(0.8)Y_(0.2)O_(3)-αand demonstrates its potential as a proton-conducting electrolyte.
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