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145 result(s) for "Shang, Dawei"
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Understanding mobile shopping consumers’ continuance intention
Purpose The purpose of this paper is to investigate and examine the factors contributing to consumers’ mobile shopping continuance intention (CI) of food and non-food items via smartphones and other mobile terminals. Design/methodology/approach An integrated model was proposed on the basis of the technology acceptance model (TAM) and expectation confirmation model (ECM), focussing on perceived value (PV). The survey responses of 203 Chinese mobile shoppers (m-shoppers) were analysed using structural equation modelling with the partial least squares approach. Findings The results indicated that perceived usefulness does not motivate all user groups. Furthermore, satisfaction and perceived ease of use significantly impacted different user groups. For online food m-shoppers, value for money (VM) was the most important factor influencing satisfaction and CI. However, perceived usefulness only affected CI for non-food m-shoppers. Practical implications Marketers can improve users’ CI by enhancing VM and maximising effectiveness and enjoyment while minimising prices. Moreover, in determining strategies for different users, marketers should identify the behavioural differences among all groups and those between the two classified groups. Originality/value This is one of the studies attempting to explain Chinese mobile shopping consumers’ CI, but especially through an integrated model based on TAM and ECM with PV on food and non-food m-commerce perspective. It offers several implications for researchers and practitioners and contributes to the literature of technology acceptance and post-adoption behaviour in m-commerce.
Two-Dimensional Material-Based Electrochemical Sensors/Biosensors for Food Safety and Biomolecular Detection
Two-dimensional materials (2DMs) exhibited great potential for applications in materials science, energy storage, environmental science, biomedicine, sensors/biosensors, and others due to their unique physical, chemical, and biological properties. In this review, we present recent advances in the fabrication of 2DM-based electrochemical sensors and biosensors for applications in food safety and biomolecular detection that are related to human health. For this aim, firstly, we introduced the bottom-up and top-down synthesis methods of various 2DMs, such as graphene, transition metal oxides, transition metal dichalcogenides, MXenes, and several other graphene-like materials, and then we demonstrated the structure and surface chemistry of these 2DMs, which play a crucial role in the functionalization of 2DMs and subsequent composition with other nanoscale building blocks such as nanoparticles, biomolecules, and polymers. Then, the 2DM-based electrochemical sensors/biosensors for the detection of nitrite, heavy metal ions, antibiotics, and pesticides in foods and drinks are introduced. Meanwhile, the 2DM-based sensors for the determination and monitoring of key small molecules that are related to diseases and human health are presented and commented on. We believe that this review will be helpful for promoting 2DMs to construct novel electronic sensors and nanodevices for food safety and health monitoring.
Performance Simulation of Sino-Tibetan Temple Spatial Layouts: Modern Application of Traditional Construction Approaches
During their evolution, Sino-Tibetan temples have been influenced by multiple factors, including history, geography, and climate, resulting in a variety of distinctive spatial layouts. Through performance simulations, many traditional construction methods have been found to still offer valuable insights for contemporary architectural designs. This study selects several typical spatial layouts that emerged during the evolutionary process as research subjects and uses the building simulation software (Ladybug Tools 1.7.0) for simulation. Comparative analysis of the thermal and wind environment simulation results reveals that the layout with directly connected front and rear spaces offers a 10% higher ventilation efficiency than the courtyard-inserted layout. Although the wind field is relatively uniform, excessive influx of hot air disrupts the indoor thermal environment. When a buffer space is introduced as a transition, ventilation efficiency decreases by approximately 12%, but indoor dissatisfaction decreases by an average of 3%. The central courtyard and direct separation layouts enhance ventilation by altering the wind pressure difference between the indoor and outdoor environments. Under conditions of weak wind, indoor comfort satisfaction remains stable between 75% and 78%. This study re-examines the spatial forms of Sino-Tibetan temples, analyzing the pros and cons of various spatial layouts from the perspective of architectural performance and proposing strategies for their application in modern design. Furthermore, the conclusions of this research contribute to the future protection or renovation of these temples without compromising the original architectural concept.
Preparation of ZnAl layered double hydroxides supported by silica for the treatment of Cr(VI) and Cu(II) in aqueous solution
A novel adsorbent ZnAl–LDHs/SiO 2 (ZA/SiO 2 ) was prepared by blending urea mixture of ZnSO 4 and Al 2 (SO 4 ) 3 while using SiO 2 as a support form. The adsorption properties of ZA/SiO 2 for the removal of toxic metal ions (Cu(II) and Cr(VI)) from water were evaluated. By batch experiment method to investigate the ZA/SiO 2 adsorption of Cu(II) and Cr(VI) solution treatment effect. The sorption kinetics curves of Cu(II) and Cr(VI) on ZA/SiO 2 were L-shaped. What’s more, the solid concentration effect was found in the process of sorption kinetics. Langmuir and Freundlich sorption isotherm models were used to analyze the adsorption data. The results showed that the adsorption conforms to Langmuir and Freundlich adsorption isotherm models. However, the adsorption capacity of ZA/SiO 2 compounds for Cu(II) and Cr(VI) is greatly improved. The adsorption capacity of Cu(II) is 158 mg·g −1 and of Cr(VI) is 176 mg·g −1 , which were 3.6 and 1.8 times of ZnAl-LDHs (ZA), respectively. Density functional theory (DFT) was utilized for the analysis of intrinsic mechanism and specific pathways. The primary mechanism for removing Cr(VI) from water mainly included the intercalation of Cr 2 O 7 2− and exchange between Cr 2 O 7 2− and OH − , excluding Cr(OH) 3 precipitation. Regarding the primary mechanism for eliminating Cu(II) from water, it involves isomorphic substitution as the predominant process, except for the formation of Cu(OH) 2 precipitates.
Combination of the Chinese and Tibetan Architectural Languages--a Case Study of three Halls of Wusutuzhao in Inner Mongolia
In order to study the architectural style of Mongolian lamaist temple combining the han and Tibetan styles, this paper analyzes three main halls of the temple built in different periods in the same village.Secondly, the process of deformation and combination of spatial prototype is decomposed through illustration. The following conclusions are drawn: 1. The temple architecture of lamaism in Inner Mongolia flexibly utilizes the architectural vocabulary of the two language families on the premise of satisfying the architectural function and accurately expressing the religious connotation; 2.2. The two architectural languages use different spatial dominant principles to express similar spatial connotations and reflect the basic cognition of buddhist cosmology;3. With the improvement of the craftsman's ability to master the two languages, the ways of integration of the two languages are always changing, and the manifestations of the palace are diversified.
Examining the influence of user engagement on tourist virtual reality behavioral response from the human-computer interaction perspective: A PLSSEM-IMP-NN hybrid machine learning approach
Due to the impact of the COVID-19 pandemic, new attraction ways are tended to be adapted by compelling sites to provide tours product and services, such as virtual reality (VR) to visitors. Based on human-computer interaction (HCI) user engagement and domain segmentation innovativeness theory, we develop and test a theoretical framework using a hybrid partial least squares structural equation model (PLSSEM) with Importance Performance Matrix (IMP) and neural network machine learning approach (PLSSEM-IMP-NN) that examines key user engagement drivers of visitors’ attitude toward VR (ATT) and in-person tour intentions (ITI) during COVID-19. According to a sample of visitors' response, the results demonstrate that a) user engagement including aesthetic appeal, focused attention, perceived usability, and reward experience, raise attitude toward VR; b) product-possessing innovativeness positively moderates the relationships between ATT and ITI; c) information-possessing innovativeness negatively moderates the relationships between ATT and ITI; d) ATT exert the mediating effect between user engagement and ITI. The proposed new PLSSEM-IMP-NN approach has been examined and denotes its efficient and effective in HCI and behavioral response assessment. Other contributions to theories and practical implications are discussed accordingly.
Activation of SAT1 engages polyamine metabolism with p53-mediated ferroptotic responses
Although p53-mediated cell-cycle arrest, senescence, and apoptosis remain critical barriers to cancer development, the emerging role of p53 in cell metabolism, oxidative responses, and ferroptotic cell death has been a topic of great interest. Nevertheless, it is unclear how p53 orchestrates its activities in multiple metabolic pathways into tumor suppressive effects. Here, we identified the SAT1 (spermidine/spermine N¹-acetyltransferase 1) gene as a transcription target of p53. SAT1 is a rate-limiting enzyme in polyamine catabolism critically involved in the conversion of spermidine and spermine back to putrescine. Surprisingly, we found that activation of SAT1 expression induces lipid peroxidation and sensitizes cells to undergo ferroptosis upon reactive oxygen species (ROS)-induced stress, which also leads to suppression of tumor growth in xenograft tumor models. Notably, SAT1 expression is down-regulated in human tumors, and CRISPR-cas9–mediated knockout of SAT1 expression partially abrogates p53-mediated ferroptosis. Moreover, SAT1 induction is correlated with the expression levels of arachidonate 15-lipoxygenase (ALOX15), and SAT1-induced ferroptosis is significantly abrogated in the presence of PD146176, a specific inhibitor of ALOX15. Thus, our findings uncover a metabolic target of p53 involved in ferroptotic cell death and provide insight into the regulation of polyamine metabolism and ferroptosis-mediated tumor suppression.
Lanthanide-regulating Ru-O covalency optimizes acidic oxygen evolution electrocatalysis
Precisely modulating the Ru-O covalency in RuO x for enhanced stability in proton exchange membrane water electrolysis is highly desired. However, transition metals with d -valence electrons, which were doped into or alloyed with RuO x , are inherently susceptible to the influence of coordination environment, making it challenging to modulate the Ru-O covalency in a precise and continuous manner. Here, we first deduce that the introduction of lanthanide with gradually changing electronic configurations can continuously modulate the Ru-O covalency owing to the shielding effect of 5 s /5 p orbitals. Theoretical calculations confirm that the durability of Ln-RuO x following a volcanic trend as a function of Ru-O covalency. Among various Ln-RuO x , Er-RuO x is identified as the optimal catalyst and possesses a stability 35.5 times higher than that of RuO 2 . Particularly, the Er-RuO x -based device requires only 1.837 V to reach 3 A cm −2 and shows a long-term stability at 500 mA cm −2 for 100 h with a degradation rate of mere 37 μV h −1 . Lack of stability in RuO 2 -based catalysts at industrial currents impedes their use in green hydrogen production. Here, the authors show that incorporating lanthanide elements into RuO x shields against external factors, enabling fine-tuned Ru-O covalency for durable oxygen evolution reaction electrocatalysis.
Scutellariae radix and coptidis rhizoma ameliorate glycolipid metabolism of type 2 diabetic rats by modulating gut microbiota and its metabolites
Scutellariae radix (Scutellaria baicalensis Georgi, SR) and coptidis rhizoma (Coptis chinensis Franch, CR) are both widely used traditional Chinese medicines and have been used together to treat T2DM with synergistic effects in the clinical practices for thousands of years, but their combination mechanism is not clear. Accumulating evidences have implicated gut microbiota as important targets for the therapy of T2DM. Thus, this study aimed to unravel the cooperation mechanism of SR and CR on the amelioration of T2DM based on the systematic analysis of metagenome and metabolome of gut microbiota. Bacterial communities were analyzed based on high-throughput 16S rRNA gene sequencing. Furthermore, ultra high-performance liquid chromatography coupled with quadrupole time of flight mass spectrometry (UPLC-Q-TOF-MS) was used to analyze variations of microbial metabolites in feces and the contents of short chain fatty acids (SCFAs) in the cecum were determined by a gaschromatography-flame ionization detector (GC-FID). 16S rRNA gene sequencing results revealed that T2DM rats treated with SR, CR, and the combination of SR and CR (SC) exhibited changes in the composition of the gut microbiota. The SCFAs-producing bacteria such as Bacteroidales S24-7 group_norank, [Eubacterium] nodatum group, Parasutterella, Prevotellaceae UCG-001, Ruminiclostridium, and Ruminiclostridium 9 in T2DM rats were notably enriched after treatment with SR, CR, and their combination. In contrast, secondary bile acid-producing bacteria such as Escherichia-Shigella strongly decreased in numbers. The perturbance of metabolic profiling in T2DM rats was obviously improved after treatment, exhibiting a lower level of secondary bile acids and a numerical increase of microbially derived SCFAs. Moreover, the correlation analysis illustrated a close relationship among gut microbiota, its metabolites, and T2DM-related indexes. The findings indicated that the crosstalk between microbiota-derived metabolites and the host played an important role in the progress of T2DM and might provide a novel insight regarding gut microbiota and its metabolites as potential new targets of traditional Chinese medicines. Furthermore, this work also suggested that the integration of various omics methods and bioinformatics made a useful template for drug mechanism research.