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7,360 result(s) for "Hu, Rong"
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Optimal urban competitiveness assessment using cloud computing and neural network
In the network economy domain, urban competitiveness refers to the comparison between cities in terms of competition and development. It is the ability to gain competitive advantage under different factors. The evaluation of urban competitiveness will help cities to learn from each other, and provides reference for the government to enhance urban competitiveness. Unlike various studies in the literature exploiting only the non-linear characteristics of urban competitiveness, this paper selects BP (Back Propagation) network as the main framework for evaluation. A Genetic Algorithm BP (GABP) network based on genetic optimization is utilized. The weights are optimized besides the crossover mutation of GA algorithm. To compensate the slow prediction in the stand-alone mode, this work proposes a MapReduce (MP) based method; MR-GABP via cloud computing. The model ensures effective urban competitiveness evaluation with improved convergence speed and threshold generation speed. The systematic experiments conducted verify effectiveness of the method while the results obtained reveal that performance of the method is better than the other methods in terms of accuracy and recall yielded as 95.1% and 92.6% respectively.
Air-stability of sodium-based layered-oxide cathode materials
Sodium-ion batteries have the potential to be an alternative to lithium-ion batteries especially for applications such as large-scale grid energy storage. The development of suitable cathode materials is crucial to the commercialization of sodium-ion batteries. Sodium-based layered-type transition metal oxides are promising candidates as cathode materials as they offer decent energy density and are easy to be synthesized. Unfortunately, most layered oxides suffer from poor air-stability, which greatly increases the cost of manufacturing and handling. The air-sensitivity severely limits the development and commercial application of sodium-ion batteries. A review that summarizes the latest understanding and solutions of air-sensitivity is desired. In this review, the background and fundamentals of sodium-based layered-type cathode materials are presented, followed by a discussion on the latest research on air-sensitivity of these materials. The mechanism is complex and involves multiple chemical and physical reactions. Various strategies are shown to alleviate some of the corresponding problems and promote the feasible application of sodium-ion batteries, followed by an outlook on current and future research directions of air-stable cathode materials. It is believed that this review will provide insights for researchers to develop practically relevant materials for sodium-ion batteries.
Engineering upconverting core-shell nano-probe for spectral responsive fluid velocimetry
Particle velocimetry based on the temporal feature of upconversion luminescent nanocrystals is a newly-raising fluid velocimetry. Exploiting the availability to low flow rate fluid and exempting redundance external calibration (achieving once calibration for all) are highly expected and challenging. Herein, an engineered core-shell nano-probe, NaYF 4 :Yb/Ho/Ce@NaGdF 4 , was proposed, in which the Ce 3+ ions were utilized to manipulate the upconversion dynamic of Ho 3 +. Through optimization, a superior sensitive against low-speed flow is achieved, and the external calibrations before each operation can be avoided. Application demonstrations were conducted on a fluid circulation system with controllable flow rate. The fluid velocity was monitored successfully, no matter it is permanent, or cyclically variating (imitating the in vivo arterial blood). Moreover, this velocimetric route is competent in spatial scanning for handling the spatially inhomogeneous velocity field. Such sensing nanomaterial and fluid velocimetric method exhibit promising application potential in human blood velocimetry, industrial control, or environmental monitoring.
Public art aesthetics and psychological healing
Modern medical research shows that art aesthetic plays a positive role in healing and relieving people’s stress, improving mental health and improving social adaptability. Based on the aesthetic experience of visitors, this article conducts an empirical study on the aesthetic experience of the Long March Memorial Museum in Ninghua County, Fujian province, by means of survey data questionnaire (SD) and in-depth interview. Firstly, to conduct a questionnaire survey to understand the psychological characteristics of visitors’ aesthetic experience. Secondly, the combination of in-depth interviews and the aesthetic differences of public art psychological analysis. Thirdly, to clarify the relationship between public art aesthetics and psychological healing. By constructing a model of the relationship between public art aesthetics and psychological healing, it puts forward five ways of psychological healing, such as enhancing aesthetic experience, arousing life interest, enriching cultural and artistic knowledge, shaping individual psychology and relieving emotional pressure.ContributionPublic art aesthetics is not only influenced by the politics, culture, customs and lifestyles of society but also has a close relationship with religious beliefs. This article attempts to explain the relationship between public art aesthetics and psychological healing from the dimension of cognitive psychology and proposes a path for public art aesthetics to promote psychological healing, so as to enrich and expand the connotation of traditional aesthetic thought and further deepen the study of religious art in psychological healing, aiming to provide useful ideas and references for promoting the all-round development of human beings.
Insights into layered–tunnel dynamic structural evolution based on local coordination chemistry regulation for high‐energy‐density and long‐cycle‐life sodium‐ion oxide cathodes
The pursuit of high energy density while achieving long cycle life remains a challenge in developing transition metal (TM) oxide cathode materials for sodium‐ion batteries (SIBs). Here, we present a concept of precisely manipulating structural evolution via local coordination chemistry regulation to design high‐performance composite cathode materials. The controllable structural evolution process is realized by tuning magnesium content in Na 0.6 Mn 1− x Mg x O 2 , which is elucidated by a combination of experimental analysis and theoretical calculations. The substitution of Mg into Mn sites not only induces a unique structural evolution from layered–tunnel structure to layered structure but also mitigates the Jahn–Teller distortion of Mn 3+ . Meanwhile, benefiting from the strong ionic interaction between Mg 2+ and O 2− , local environments around O 2− coordinated with electrochemically inactive Mg 2+ are anchored in the TM layer, providing a pinning effect to stabilize crystal structure and smooth electrochemical profile. The layered–tunnel Na 0.6 Mn 0.95 Mg 0.05 O 2 cathode material delivers 188.9 mAh g −1 of specific capacity, equivalent to 508.0 Wh kg −1 of energy density at 0.5C, and exhibits 71.3% of capacity retention after 1000 cycles at 5C as well as excellent compatibility with hard carbon anode. This work may provide new insights of manipulating structural evolution in composite cathode materials via local coordination chemistry regulation and inspire more novel design of high‐performance SIB cathode materials. image
CAFs orchestrates tumor immune microenvironment—A new target in cancer therapy?
Cancer immunotherapy has opened a new landscape in cancer treatment, however, the poor specificity and resistance of most targeted therapeutics have limited their therapeutic efficacy. In recent years, the role of CAFs in immune regulation has been increasingly noted as more evidence has been uncovered regarding the link between cancer-associated fibroblasts (CAFs) and the evolutionary process of tumor progression. CAFs interact with immune cells to shape the tumor immune microenvironment (TIME) that favors malignant tumor progression, a crosstalk process that leads to the failure of cancer immunotherapies. In this review, we outline recent advances in the immunosuppressive function of CAFs, highlight the mechanisms of CAFs-immune cell interactions, and discuss current CAF-targeted therapeutic strategies for future study.
The Effectiveness of Blended Learning in Health Professions: Systematic Review and Meta-Analysis
Blended learning, defined as the combination of traditional face-to-face learning and asynchronous or synchronous e-learning, has grown rapidly and is now widely used in education. Concerns about the effectiveness of blended learning have led to an increasing number of studies on this topic. However, there has yet to be a quantitative synthesis evaluating the effectiveness of blended learning on knowledge acquisition in health professions. We aimed to assess the effectiveness of blended learning for health professional learners compared with no intervention and with nonblended learning. We also aimed to explore factors that could explain differences in learning effects across study designs, participants, country socioeconomic status, intervention durations, randomization, and quality score for each of these questions. We conducted a search of citations in Medline, CINAHL, Science Direct, Ovid Embase, Web of Science, CENTRAL, and ERIC through September 2014. Studies in any language that compared blended learning with no intervention or nonblended learning among health professional learners and assessed knowledge acquisition were included. Two reviewers independently evaluated study quality and abstracted information including characteristics of learners and intervention (study design, exercises, interactivity, peer discussion, and outcome assessment). We identified 56 eligible articles. Heterogeneity across studies was large (I(2) ≥93.3) in all analyses. For studies comparing knowledge gained from blended learning versus no intervention, the pooled effect size was 1.40 (95% CI 1.04-1.77; P<.001; n=20 interventions) with no significant publication bias, and exclusion of any single study did not change the overall result. For studies comparing blended learning with nonblended learning (pure e-learning or pure traditional face-to-face learning), the pooled effect size was 0.81 (95% CI 0.57-1.05; P<.001; n=56 interventions), and exclusion of any single study did not change the overall result. Although significant publication bias was found, the trim and fill method showed that the effect size changed to 0.26 (95% CI -0.01 to 0.54) after adjustment. In the subgroup analyses, pre-posttest study design, presence of exercises, and objective outcome assessment yielded larger effect sizes. Blended learning appears to have a consistent positive effect in comparison with no intervention, and to be more effective than or at least as effective as nonblended instruction for knowledge acquisition in health professions. Due to the large heterogeneity, the conclusion should be treated with caution.
Digital health literacy and associated factors among internet users from China: a cross-sectional study
Background As the internet develops and 5G technology becomes increasingly prominent, the internet has become a major source of health-related information. Increasingly, people use the internet to find health-related information, and digital health literacy is now a set of essential capabilities to improve their health in the digital era. However, little is known about the factors that influencing digital health literacy. This study aimed to assess digital health literacy scores and identify its influencing factors among internet users in China. Additionally, this study explored the participant’s actual skills using an additional set of performance-based items from the Digital Health Literacy Instrument (DHLI). Methods An online cross-sectional study was conducted in August 2022. Participants aged ≥18 years were recruited to complete the survey. Data were collected using the Chinese revised version of the DHLI, the self-reported internet use questionnaire, and the sociodemographic questionnaire. We conducted multivariate linear regression analyses to explore the relationships among the sociodemographic variables, behavior of internet use, and the digital health literacy scores. Results In total, 702 participants completed the survey. The mean DHLI score was 2.69 ± 0.61. Multivariate linear regression analyses showed that the age groups 35–49 (β = − 0.08, P  = 0.033), 50–64 (β = − 0.161, P  < 0.001), and ≥ 65 (β = − 0.138, P  < 0.001) were negatively associated with DHL scores. However, education level, including bachelor’s or associate degree (β = 0.255, P  = 0.002) and master’s degree and above (β = 0.256, P  < 0.001), frequency of health-related Internet usage (β = 0.192, P  < 0.001), the number of digital devices used (β = 0.129, P  = 0.001), and OHISB (β = 0.103, P  = 0.006) showed a positive relationship with DHL scores. Conclusions The study findings demonstrate that age, educational levels, number of technological devices used, and greater use of the web for health information were independently associated with DHL scores. Healthcare providers should consider providing training programs tailored to specific sociodemographic factors to improve the ability that find and use accurate information online to meet digital health services, which contributes to enhance their self-management and reduce health disparities.
An ultra high-throughput method for single-cell joint analysis of open chromatin and transcriptome
Simultaneous profiling of transcriptome and chromatin accessibility within single cells is a powerful approach to dissect gene regulatory programs in complex tissues. However, current tools are limited by modest throughput. We now describe an ultra high-throughput method, Paired-seq, for parallel analysis of transcriptome and accessible chromatin in millions of single cells. We demonstrate the utility of Paired-seq for analyzing the dynamic and cell-type-specific gene regulatory programs in complex tissues by applying it to mouse adult cerebral cortex and fetal forebrain. The joint profiles of a large number of single cells allowed us to deconvolute the transcriptome and open chromatin landscapes in the major cell types within these brain tissues, infer putative target genes of candidate enhancers, and reconstruct the trajectory of cellular lineages within the developing forebrain.