Strategic Analysis and Model Construction on Conflict Resolution with Motion Game Theory

This research uses the “Participating Observation Method” to observe the interaction between manufacturer and distributor negotiation strategies, determine the preference and expectation of participants, and establish a framework for this type of research. Then it sets up the “analysis framework of negotiation strategies” between the manufacturer and the distributor based on an analysis of the respective conditions, advantages, and disadvantages of the manufacturer and distributor. Thirdly, this study sets up a reward matrix of the strategy action game between the manufacturer and the distributor. Then establishes a set of feasible “negotiation models” based on the reward matrix of the strategy game between the both parties to observe how the manufacturer and the distributor make their own bargaining decisions in the situation of information asymmetry or exterior opportunity/threat. Finally, this study establishes a “multi-agent strategy game protocol system model” to solve the conflict resulting from the self-strategizing of both parties for their own interests, and to achieve the utmost efficiency in the negotiation

The Effect of Physical Activity on the Non-cognitive Ability of Adolescents: An Empirical Study on Big Five Personality Traits and Large Sample Data of CFPS 2020

Based on the Big Five personality trait dimensions of non-cognitive ability measures, the CFPS 2020 database was used as the basis, The self-answered questionnaires and messages were collected from the people under the age of 18. And information on physical activity were selected as the study sample from the total 28590 samples in this database, among which 1562 valid samples were used as the study subjects. And the corresponding options and answers were selected as the dependent variables related to the Big Five personality like responsibility, agreeableness, extraversion, and neuroticism. After constructing a model with logit regression and calculating the marginal effects, it empirically demonstrated that increasing the frequency of physical exercises (frequency) had positive effects on promoting or improving adolescents' sense of responsibility, agreeableness, extraversion, and neuroticism, the frequency of physical exercise (frequency) in the past 12 months was used as the dependent variable, the effects were different between urban and rural areas, age, and gender. There were differences between urban and rural areas, age and gender

Lived Experiences of a Hong Kong Physical Education Teacher: Ethnographical and Phenomenological Approaches

This study employed ethnographical and phenomenological methods to explore the lived experiences and career of a Hong Kong secondary school physical education (PE) teacher (Wharton) in order to embody his versatile roles through phenomenological description of a lived body itself and the lived world. The central research question is “How does a male secondary school PE teacher manage his work life and the embodiment of his professional roles?” Data collection techniques were in-depth interviewing, participant observation and field notes, participant’s reflection documentation and visual elicitation. Concepts of “play to learn,” “professional development” and “political empowerment” were used to examine Wharton’s lived experiences and career. Themes such as Static Gestalt, Dynamic Gestalt, Style Gestalt and Reversibility Gestalt were identified. This study may inform literature on sociological perspectives and the life histories of PE teachers and applicable to other teachers as they adapt to environmental changes in other settings

Mechanism of Exact Transition between Cationic and Anionic Redox Activities in Cathode Material Li2FeSiO4.

The discovery of anion redox activity is promising for boosting the capacity of lithium ion battery (LIB) cathodes. However, fundamental understanding of the mechanisms that trigger the anionic redox is still lacking. Here, using hybrid density functional study combined with experimental soft X-ray absorption spectroscopy (sXAS) measurements, we unambiguously proved that Li(2- x)FeSiO4 performs sequent cationic and anionic redox activity through delithiation. Specifically, Fe2+ is oxidized to Fe3+ during the first Li ion extraction per formula unit (f.u.), while the second Li ion extraction triggered the oxygen redox exclusively. Cationic and anionic redox result in electron and hole polaron states, respectively, explaining the poor conductivity of Li(2- x)FeSiO4 noted by previous experiments. In contrast, other cathode materials in this family exhibit diversity of the redox process. Li2MnSiO4 shows double cationic redox (Mn2+-Mn4+) during the whole delithiation, while Li2CoSiO4 shows simultaneous cationic and anionic redox. The present finding not only provides new insights into the oxygen redox activity in polyanionic compounds for rechargeable batteries but also sheds light on the future design of high-capacity rechargeable batteries

StageInteractor: Query-based Object Detector with Cross-stage Interaction

Previous object detectors make predictions based on dense grid points or numerous preset anchors. Most of these detectors are trained with one-to-many label assignment strategies. On the contrary, recent query-based object detectors depend on a sparse set of learnable queries and a series of decoder layers. The one-to-one label assignment is independently applied on each layer for the deep supervision during training. Despite the great success of query-based object detection, however, this one-to-one label assignment strategy demands the detectors to have strong fine-grained discrimination and modeling capacity. To solve the above problems, in this paper, we propose a new query-based object detector with cross-stage interaction, coined as StageInteractor. During the forward propagation, we come up with an efficient way to improve this modeling ability by reusing dynamic operators with lightweight adapters. As for the label assignment, a cross-stage label assigner is applied subsequent to the one-to-one label assignment. With this assigner, the training target class labels are gathered across stages and then reallocated to proper predictions at each decoder layer. On MS COCO benchmark, our model improves the baseline by 2.2 AP, and achieves 44.8 AP with ResNet-50 as backbone, 100 queries and 12 training epochs. With longer training time and 300 queries, StageInteractor achieves 51.1 AP and 52.2 AP with ResNeXt-101-DCN and Swin-S, respectively