Exploring the Adoption of Blended Learning in Physical Education: A Study in Southwest China's Higher Education Institutions

This study delves into the adoption of Blended Learning in Physical Education (BLPE) within higher education institutions in Southwest China. Employing structural equation modeling (SEM) on data from 654 respondents, which are higher education students major in physical education in southwest China. The research comprehensively examines both direct and indirect effects among the Information Quality (IQB), System Quality (SQB), Satisfaction (SAB), Perceived Ease of Use (PEB), Perceived Usefulness (PUB), Attitude Towards BLPE (ATB), Hedonic Motivation (HM), Price Value (PV), Habit (HT), Intention to Use BLPE (IUB), Facilitating Conditions (FC), Performance Expectance (PE), Effort Expectance (EE), and Social Influence (SI). Significant direct relationships were identified, including IQB's and SQB's positive effects on SAB (? = 0.358 and ? = 0.505, respectively), and SAB’s influence on PEB (? = 0.597) and PUB (? = 0.384). Additionally, mediation analysis revealed key indirect effects, such as SAB mediating the relationship between IQB and PEB (effect size = 0.206), and between SQB and PUB (effect size = 0.185). Notably, HM and PV did not significantly impact IUB, suggesting unique contextual differences in BLPE adoption in Southwest China. Other variables like HT, FC, PE, EE, and SI also showed significant impacts on IUB, reflecting the multifaceted nature of BLPE adoption. The study concludes that quality of content and system, along with user satisfaction, play pivotal roles in determining the success of BLPE. Contrasting with some global trends, cultural and contextual factors significantly influence BLPE adoption in Southwest China. These findings provide essential insights for educators and policymakers, emphasizing the need for contextually tailored BLPE strategies and highlighting the critical interplay of various factors in the successful implementation of blended learning in physical education

Distinct motifs in the intracellular domain of human CD30 differentially activate canonical and alternative transcription factor NF-?B signaling

The TNF-receptor superfamily member CD30 is expressed on normal and malignant lymphocytes, including anaplastic large cell lymphoma (ALCL) cells. CD30 transmits multiple effects, including activation of NF-?B signaling, cell proliferation, growth arrest and apoptosis. How CD30 generates these pleiotropic effects is currently unknown. Herein we describe ALCL cells expressing truncated forms of the CD30 intracellular domain that allowed us to identify the key regions responsible for transmitting its biological effects in lymphocytes. The first region (CD30519–537) activated both the alternative and canonical NF-?B pathways as detected by p100 and I?B? degradation, IKK?-dependent transcription of both I?B? and the cyclin-dependent kinase inhibitor p21WAF1/CIP1 and induction of cell cycle arrest. In contrast, the second region of CD30 (CD30538–595) induced some aspects of canonical NF-?B activation, including transcription of I?B?, but failed to activate the alternative NF-?B pathway or drive p21WAF1/CIP1-mediated cell-cycle arrest. Direct comparison of canonical NF-?B activation by the two motifs revealed 4-fold greater p65 nuclear translocation following CD30519–537 engagement. These data reveal that independent regions of the CD30 cytoplasmic tail regulate the magnitude and type of NF-?B activation and additionally identify a short motif necessary for CD30-driven growth arrest signals in ALCL cells.<br/

How do foreign entrepreneurs adapt to local corruption norms in the Middle East? Institutional multiplicities and individual adaptation

Foreign entrepreneurs encounter institutional complexities resulting from differences between their home and host countries. On one hand, foreign entrepreneurs must adapt to local norms in a host environment that might be novel and different; on the other, foreign entrepreneurs bring institutional legacies from their home environments. In this article, we critically examine how such tensions affect norm adaptation by foreign entrepreneurs, focusing upon their attitudes towards corruption–defined as corruption propensity. While imprints from home institutions can be ‘sticky’ and persistent, learning about host institutions requires foreign entrepreneurs to adapt their corruption propensity. We find that corruption propensity has an inverted U-shaped relationship with performance and conclude by analysing the implications of such propensity.</div

Determination of selected physical and mechanical properties of Chinese jujube fruit and seed

Some of physical characteristics and mechanical properties of two widely commercialized varieties of Chinese jujube (Zizyphus jujube cv. junzao and Zizyphus jujube cv. huizao) were studied at 62.2% and 35.4% w.b. for fruits and seeds of junzao and 70.3% and 25.2% w.b. for fruits and seeds of huizao. The results showed that fruits and seeds of junzao were larger in all the dimensions and heavier than that of huizao while the fruits of junzao were smaller in true density, bulk density and porosity than that of huizao. The aspect ratio and sphericity of both cultivars fruits were spherical and more likely to roll than slide. And all the physical parameters measured and calculated of both cultivars fruits and seeds were significant different to each other. The rupture force of junzao was higher than that of huizao at both orientations under compression. Greater rupture force and higher hardness were found at the horizontal orientation of both cultivars

Choosing Suitable Indicators for the Assessment of Urban Air Mobility: A Case Study of Upper Bavaria, Germany

Technological advances are disrupting mobility patterns and transport technologies, both on the ground and in the air. The latter has been recently observed in the research community of urban air mobility (UAM). Research in this area has studied several areas of its implementation, such as vehicle concepts, infrastructure, transport modeling, or operational constraints. Few studies however have focused on evaluating this service as an alternative among existing transportation systems. This research presents an approach for the selection of indicators for a multi-criteria analysis for the assessment of UAM, in a case study of Upper Bavaria, Germany. A 5-stage approach is showcased including an expert assessment for the relevance and feasibility of indicators, based on two rating scales. A threshold for selection is presented, applied and validated for both scales. The results included a list of indicators for assessing the potentials of UAM integration to existing public transportation systems; the chosen indicators were then compared against existing ones for sustainable urban mobility. A high match between resulting indicators and previous ones further validate the results, and suggest that there is a need for an iterative approach in the assessment of disruptive transport technologies

MM DialogueGAT- A Fusion Graph Attention Network for Emotion Recognition using Multi-model System

Emotion recognition is an important part of human-computer interaction and human communication information is multi-model. Despite advancements in emotion recognition models, certain challenges persist. The first problem pertains to the predominant focus in existing research on mining the interaction information between modes and the context information in the dialogue process but neglects to mine the role information between multi-model states and context information in the dialogue process. The second problem is in the context information of the dialogue where the information is not completely transmitted in a temporal structure. Aiming at these two problems, we propose a multi-model fusion dialogue graph attention network (MM DialogueGAT). To solve the problem 1, the bidirectional GRU mechanism is used to extract the information from each model. In the multi-model information fusion problem, different model configurations and different combinations use the cross-model multi-head attention mechanism to establish a multi-head attention layer. Text, video and audio information are used as the main and auxiliary modes for information fusion. To solve the problem 2, in the temporal context information extraction problem, the GAT graph structure is used to capture the context information in the mode. The results show that our model achieves good results using the IMEOCAP datasets

First-principles calculation of topological invariants Z2 within the FP-LAPW formalism

In this paper, we report the implementation of first-principles calculations of topological invariants Z2 within the full-potential linearized augmented plane-wave (FP-LAPW) formalism. In systems with both time-reversal and spatial inversion symmetry (centrosymmetric), one can use the parity analysis of Bloch functions at time-reversal invariant momenta to determine the Z2 invariants. In systems without spatial inversion symmetry (noncentrosymmetric), however, a more complex and systematic method in terms of the Berry gauge potential and the Berry curvature is required to identify the band topology. We show in detail how both methods are implemented in FP-LAPW formalism and applied to several classes of materials including centrosymmetric compounds Bi2Se3 and Sb2Se3 and noncentrosymmetric compounds LuPtBi, AuTlS2 and CdSnAs2. Our work provides an accurate and effective implementation of first-principles calculations to speed up the search of new topological insulators

Precipitation of PEG/Carboxyl-modified gold nanoparticles with magnesium pyrophosphate : a new platform for real-time monitoring of loop-mediated isothermal amplification

2016-2017 > Academic research: refereed > Publication in refereed journal201804_a bcmaVersion of RecordRGCOthersRGC: 501413Others: PGMS Project IDs: P0009500 and P0009150Publishe